HOUSING NEED ASSESSMENT

IN THE STATE OF COLIMA, MEXICO by

David Cymet-Lerer

Ingeniero Arquitecto Escuela Superior de Ingenierfa y Arquitectura, IPN M6xico (1955)

Submitted to the Department of Urban Studies and Planning in Partial Fulfillment of the Requirements of the Degree of

MASTER IN CITY PLANNING

at the

MASSACHUSETTS INSTITUTE OF TECHNOLOGY

September 1982

0 David Cymet Lerer

Signature of Author

)-Dqpartment of Urban/Studies and Planning 7111 /TSeptemb7 1982

Certi fi ed by/ ,1 /!!:::::7 Thesis Supervisor Accepted by INV Head MCP. 1,Commi ttee

MASSACHUSETTS INSI1TUTEE OF TFCHN()LOGY DEC 0 4 1986 L Rotb Room 14-0551 77 Massachusetts Avenue Cambridge, MA 02139 Ph: 617.253.2800 MITLibraies Email: [email protected] Document Services http://libraries.mit.edu/docs

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1.- INTRODUCTION 3 2.- HOUSING NEEDS AND THEIR ASSESSMENT 16 PRESENT HOUSING NEEDS 17 FUTURE HOUSING NEEDS 32 3.- A CASE STUDY. THE STATE OF COLIMA, MEXICO 41 4.- ASSESSMENT OF PRESENT HOUSING NEEDS IN COLIMA, 73 1980. 5.- ASSESSMENT OF FUTURE HOUSING NEEDS FORM 1980 120 TO 2000. 6.- CONCLUSIONS 137 7.- BIBLIOGRAPHY 158 I N T R 0 D U C T I 0 N

Development is not a process that happens naturally by itself. On the contrary, it constitutes a conscious and directed effort of society to attain the goals it has chosen.

When engaging in a development-effort a society must make choices and decide its objectives and prtorities, Such a choice reflects the values cherished by that society, A free society must also make choices and establish priorities, although the process by which they are selected and implemented, and the objectives and goals chosen may be very different.

Should proper minimal housing conditions for the people be included among the major goals of development? The answer given to this question varies greatly among societies, and is probably among many others th.e best indicator of their values, life philosophy and culture, Let us refer to those societies that emerged from revolutions and engaged in major development efforts and yet excluded housing from their national goals and priorities sacrificing the housing conditions of their people for generations, to advance their heavy industry and military strength.

In the case of free societies it can justifiably be argued that such an approach of trading housing needs for other seemingly important goals is not compatible with their

3 fundamental values, and that such. an approach is characte- risti c of total i tarian development stategies. A concern for the housing conditions of the people, now and here, in particular of those that can not afford a decent dwelling is fundamental to the very nature of a free society. For such a society housing is not a product of development but one of its esential conditions.

At the national as at the domestic scale, hous ing-needs compete with other needs, and a point of equil ibrium must be found that best comp romises between them. When faced with the need s of foods, shelter, health and education a nation not unlike a family must find out what it can best afford and es tablish its budgetary priorities accordingly but must neve ri'gnore or neglect one on account of the other. In its list of national priorities, housing-needs must occupy its proper place, not as a self-deceiving device of pay ing lip-service to lofty ideals, but as a re al commitment that is to be translated into such. hard facts as the fraction of the GNP devoted to housing, and the numbe r of dwellings and rooms that are built annualy per th.ousand people.

A national commitment to improve the ho using conditions of the people, must translate itself into coherent long-range and short-range policies and planning, guiding the housing

4 7 market towards the achievement of clearly defined hQus ing objectives. It is in this context of goals-achievemen t that housing-needs assessment which is the subject of this thesis acquires its full signficance as a distinctive tool for measuring and monitoring the housing situation, in order to be able to ascertain the effectiveness of the policies pursued.

An assessment of needs implies a norm that serves as a reference in order to confront what is required with what is available. The norm becomes the yardstick for comparing what ought to be with what is. In the specific case of housing need-asses sment it describes societys total require- ment of shelter as seen from the viewpoint of a minimal housing condition which ought to be reached, independently of the individual households capacity and willingness to pay for it. In this r espect market analysis is different from needs-assessment, as it looks for the proportions of the population that can afford a dwelling at the different prices or rents commerci aly available.

As social goals and national objectives are by their very nature outside the realm of the market, market analysis can not fulfill the function of needs-assessment. This is in no way directed towards the dental of market forces as the fundamental factor determini ng housing conditto ns, but simply to make it clear that the market by itself lacks

5 orientation towards goals achievement whereas a society

commited to social objetives requires a compass to steer its course. Needs assessment is instrumental in steering

societys course towards its chosen goals and objectives.

There can be no doubt that at any particular historical

moment, housing demand will differ, and very often profoundly, from housing need. What people. can afford is very often far

.from what they need. Yet, it is this seemingly uncompromi-

sing tension, what impels society to accept challenges, and

improve itself. "Where there is a will there is a way" has

more meaning at the collective than at the individual scale.

If one examines the housing situation in Mexico, or of any

other country for that matte-, he wi 1 encounter profound

di ver gencies between housing demand and housing need., Ho u-

sing researchers like Tomasz Sudra have brought to li ght

some very important ones, such as exist in the case of the

great number o-f households who in Mexico will choose to live

in th e cramped one-room VECINDAD dwellings, known as

CUART OS REDONDOS lacking the majori ty of dwelling-conven ien

ces i ncluding private bathrooms. They choose these dwel l ings

not s imply because they are the onl y ones available o r becau se their rent pri.ce-tag is wit hin their budget, but fundamentally because they have such advantages as central

location and excellent communication that allow job mobility

and many public services of the highest quality Neverthless

6 these dwellings have been outlawed by building and health codes since 1940, and according to any minimal housing standards they would be considered the worst dwelling type and their households the people in most urgent need of improvement. Sudra has also drawn attention. to the large segments of poor households whose housing demand is directed to the acquisition of ownerhip, even if that means a move to a empty lot in the farthest areas of the urban periphery and a willingness to accept the almost total lack of public transportatio,-utilities and services, for the sake of ownership security.

The gap between housing demand and housing need is a very fundamental problem for a society concerned with the welfare of tts disadvantaged citizens, who can not find by market mechanisms an adquate answer to their housing plight, It is this problem how to bridge that gap that specially concernes developing countries.

Some have advocated a watering-down of the housing norms, or even their total abandonment, and the acceptance of de-- mand as it is. Against such an approach it has been argued, that legitimate compromises are made with time-tables when goals are too difficult to reach, but not with norms, and that such. a course is simply a self-deceiving device to make things look better. There is some truth to both

7 arguments and it requires utmost care not to become easy

prey to the pitfalls on both sides. In any case, there is no advantage, in altogether giving up norms, as they provide

guidance towards improvement, and without them society will

drift almlessly subject to the ebb and tide of supply and

demand. Nevertheless if one considers that norms have to be

within reach of societys possibilities, it may turn out to

be beneficial to introduce a norm-ladder that would bring nearer need to demand. Thus, it could be advisable to

introduce 3 types of housing norms, which would be applied within 3 clearly defined realms:

- Emergency Norms

- Provisional Norms

- Permanent Norms.

Instead of applying indiscrimitely the 1940 Building Code to VECINDADES and COLONIAS PROLETARIAS, outlawing the

housing-market which creates the accommodations for hundreth~s

of thousands of people, the door would be open fQr a guided' evolutionary process, which would improve gradually on these

housing types. The emergency and provisional norms- would define carefuly laid-out minimums wh.ich while improving the

VECINDADES and similar h.oustng types would not do away with

their profitability and low rents. Vecindandes could be legaly

built if they complied with the emergency and provisional

8 V. norms and they adopted a commitment of improvement and upgrading, within a reasonable time-table. In the same vein, solu t iones to bridge the gap between needs and demands have been sought in other direc tions. Among them let us mention the mobile amortization scale for housing loans that moves with the rate of inflatio n, and whose objective is to keep al ive the profitability of such loans. Other have looked for solutions to bridge th.e gap to the arsenal of ideas of th e welfore state with i.ts different types of direct and undirect subsidies, and still others look, special ly s o in developing countries, to altenatives that belong to t he philosophy of cooperativism.

Having undert ood the basic role of housing-need assessment as a steering aid towards social goals, one can see its multiple bene fits and uses such as: a) Making possible to draw comparisons of the housing situa-

tion in space and in time. In space,by comparing

internally with other areas, and in time by comparing

different historical moments, so as to discern trends of

improvement or deterioration of the housing situation. b) Playing a key role as a basis for rationally shaping

national and regional housing policies, and in drawing up plans andprograms for housing improvement, together with other component elements such as resource inveitory after adjustment to other national and social goals

claiming these resources., c) As a moni toring device for periodically evaluating

progress achieved with reference to the goals and objec-

tives ado pted to adjust goals and norms as necessary,

A central problem in housing need assessment is the adoption of the minimal norms to be used as a reference. There can be no doubt tha t housing norms are a function of the stage of economic and cultural development. What a nation can afford determines its acceptable mi nimums. Thus , what may be considered intolerable overc rowding in a rich society , may be considered acceptable i-na poorer one, Even safe ty norms become more stringent and set higher standards whe n economic conditions make it pos sible. This can be prope rly understood when considering the fundamental fact that hi gher standards imply higher costs, and when a society can not afford those costs, it can not realize the higher standa rds. That should not lead in any way to deny the esential function of norms to set HIGHER standards that strive to improve on the present situation, but only to make clear that these standards have to be affordable by the national economy, 1 n order to have a real meaning,

We arrive thus at a conclusion that setting-up norms is not an arbitrary subjective action but a objeti've process

10 that has to take into account affordability and cultural values at the same time. that it sets improvement goals above the present condition; goals which have to be within reach of the great majority of people.

As minimal norms not only have. a prescriptive but also a diagnostic function, serving as a yardsti.ck to compare and measure unsatisfied needs, they can not be multiplied at will, but must be commonly and uniformly applied in the area whose needs are assessed.

Choosing the proper norms to assess the housing' needs of a country or a smaller geographic area, is thus a rational decision which. must be arrived at after conside ring and balancing its determining factors.

In the course of this thesis thJis decision had to be made, in order to assess the housing needs of a geographic area i.n Mexico, the state of Colima. It was done by discarding secondary and suplementary aspects of human sh.elter and going to the core of the dssential requirements of dwe.llings in our stage of development,

The minimal dwelling requi rement thus considered were the existence of the essential utilities of water, sewers and electricity inside the dwe llings, the existence of a pri va-

p. 11 te bathroom with running water for every dwelling, the use of safe and minimally durable materials in walls, and roofs, the existence of paved floors, a minimal number of rooms in the dwelling so their overcrowding index doesn' t exceed 1.5 persons per rooms, and the existence of a ktchen that is not used as a bedroom. These were considered the minimal requirements that a dwelling should meet, and the lack of any of them was classified as a deficiency or unsatisfied need.

Another fundamental aspect of housing need assessment is the availability of data. An assessment of housing needs requi res data on the characteristics and conditions of the housing stock on one hand and the charac terist ics of the household s on the other. As very limited data was available on the housing stock, it became quite common after World War II i n western countries to make specia lized ad-hoc hou sing surv eys usually on a sampl ing basis, in order to evaluate housing needs at the local , regional and natio nal scale. A most relevant character istic of these sampl ing surveys is their great variability in content and form which makes it very difficult to compare and relate their results.

Nevertheless a most important developmen t has taken place on a world scale since the year 1960, when as a result of a

United Nations initiative many relevant questions on the

4- 12 dwellings and their households were introduced, which have made it possible to use the Census data for housing need assessment since then. Additional improvement were subse- quently introduced in the 1970 census, which proved very valuable for achieving a more complete evaluation of housing needs. Unfortunately no significant advancement took place in the 1980 census,

The total territorial caverage of the census, its periodi city and the congruity and continuity in space and time of each census with the rest makes the census ideally suited for the purpose of housing need-assessment, in addition to its being the esential frame of reference for the speciali- zed ad-hoc housing. surveys.

Although, the reform that has taken place with respect to the censuses since 1960, constitutes a major step on a world-scale for making possible for every country to assess systematicaly its housing needs, and keep track of its housing evolution, it must be said that the full potential of this momentous development has not been taken advantage of neither by government institutions nor by academic and scientific circles, with. the exception of the United-Nations.

It is the aim of this thesis to attempt a systematic use of

the mexican census data since 1960 for housing need-assess ment and to determine its potentiality for that application,

13 The state of Colima was chosen for this purpose, as the

1980 Census results have been released only for this state and Baja California Sur, and the methodology propossed will be applied at the state-level as well as at the smallest census-unit the municipality, in order to compare the housing situation within the state., In the same vein , an attempt will be made to go back to the previous censuses, to discern trends in the housing situation, and thus make the fullest use of census coverage and continuity to make comparisons in time and space.

14 HOUSING NEEDS AND THEIR ASSESSMENT. HOUSING NEEDS AND THEIR ASSESSMENT.

A housing policy for a country, a region or a city is designed with the purpose of improving the housing conditions of the population. Such an improvement may require a consi- derable period of time, and can not attain its objectives instantaneously. It is therefore necessary when designing such a policy and formulating a plan for improving the housing conditions not only to assess the present unsatisfied needs but also to consider the additional needs which will be generated in the period required for their full satisfaction.

It is understandable that needs assessment should systematica lly distinguish between these 2 fundamental groups. of needs: a) Present Unsatisfied Needs b) Future Needs

In evaluating the housing needs of the State of ColimaMexico we will follow this division distinguishing on one side between what many call the present housing-deficit and the new needs which will be generated in the future, as a result of the many dynamic factors that modify the present population and its housing stock. The addition of these two groups of needs will determine the total work-load that a housing-plan must consider in order to achieve its goal and objectives of improving the housing conditions of the population.

16 THE PRESENT HOUSING NEEDS AND THE HOUSING DEFICIT

Every human group has housing needs which are being at present

satisfied to a varying degree by the existing housing-stock.

It is necessary therefore to distinguish between housing-needs

per-se which express the minimal housing condition that a

population ought to have in terms of its demographic and

economic charact eri stics, and the unsatisfied housing needs which represent the difference between what they ought to have and what they have in fact, co nsidering that the existing

housing stock, may or may not satisfy to a lesser or larger

degree these hou sin g needs. The fraction of the needs which

are properly tak en care of can be called the satisfied housing

needs, while the others which. are left at present without response or wi'th a i'nadequate response are identified as the unsatisfied need S. This last part constitutes the housing

deficit whose 14qui dation is t he objective of housing plans

and policies.

To determine housing needs in general and uns-atisfied.housing

needs, it is necessary to.define a set of minimal standards or norms of what constitutes a proper dwel ling and an accep-

table household-dwelling relationship.

Once these minimal standards are adopted one can use the

population and housing-stock data of the census and of other sources to assess the present housing needs and the housing

deficit. These same standards or on upgraded version of them

17 in view of rising expectations, are also used as a basis for evaluating the future hous.ing needs in terms of the demographic and economic projections of the population.

There are thus concerning the present housing situation two sides to the ledger: 1) The theoretical or ideal housing stock that is.required for the population to satisfy its minimal housing requirements and 2) The existing stock that is available to them. The negative difference between these two columns of the balance, were the existing stock stands below the theoretical standard constitutes the unsatisfied need or deficit whose liquidation in a future date more or less remote depends on the resources available to society, and its commitment to housing betterment.

The unsatisfied present housing-needs that constitute the deficit can be summarized in the following 5 categories; a) Dwellings unfit to their present users because of their

size, location or rent, but which could be properly

matched to other households needs. b) Dwellings with some physical deficiencies, that can be

repaired and brought up to the minimal standard, satisfying thus their present users housing-needs. c) Dwellings that are totally unfit for any household, which

are to be substituted totally by new construction.

18 d) Dwellings needed for people doubling up in somebodys also

h.ouse or homeless in transient accomodations.

e) Dwellings needed as vacancies in order to allow for the

internal movement of households as their locational and

size requirements change..

Each of the 5 need -cate gories has its own units of measure,

as well as its own s pecific set of solution-alternatives. There is

usually more than o ne possible. solution to each of the types

of housing needs, and it would therefore be wrong to conclude that building new dwellings is the only response to them. Growth of existing houses, repair and upgrading of them, introduction and conection to uti lities and movements of households are some of the alternative s ol utio n that are open to solve the unsatisfied housing-nee ds , as wi 11 be seen in our further di scussi on of the 4 categories, in the same or der as they were presented before; a) The unsatisfi ed hou sing needs due to a mismatch between

dwelli'ng char ac te ristics and household requirements, funda

mentally expr ess themselves in rents higher than what many

households ca n afford to pay, inadequate location with

respect to th e work place of the households-heads andlast but not least in dwelling overcrowding as a result of the

dwelling being too small in area and number of rooms to

satisfy the requirements of the household members.

The mexican census data makes it possible to infer the

mismatch between dwelling-size and household rooms-needs

19 using its crossed informati.on on dwelling sizes and number of household me.mbers living in them. Unfortuna-

tely rent and location mismatches can not be infered from the census, because it does not include data on

rent or mortgages paid by the households, nor the time- distances of the household members to their main occupational activity, for which reason only the size mismatch and its resulting overcrowding will be

included in this category of unsatisfied needs.

Only counting the dwellings that are mismatched in

this respect would not be good enough information for assessing their households space needs; A much more adequate measure is the number of rooms that these

dwellings are missing to satisfy the space needs of the households occupying them. Thus. the room becomes the unit of measurement of this need category, and the

absolute number of rooms missing or per thousand

population becomes the overall measure of need, allowing to assess and compare the needs of differe.nt geographic units.

To achieve an assessment of the number of rooms missing, it is necessary to adopt a standard or norm concerning

the minimum rooms-space required per household-member,

below which overcrowding setsin. In view of the fact

that 0.67 rooms per person, or its equivalent 1.5

20 persons per room has become the most accepted figure in the western world for defining the treshold of overcrow- ding, it was accepted in this study as the norm for the purpose of assessing overcrowding and space-needs in the state of Colima.

Slackening the standards of occupancy per room in view of generalized overcrowding and allowing for higher numbers of people per room, could only be used for the purpose of setting intermediate goals or determining priorities, but is not admissible in an honest assessment of needs.

It must be made clear that the room-deficit is a measure of need and not automatically a solution, as the re are various solutions to this defi cit such as in terna1 househol movements between dwellings to achieve a better ma tch between dwelling,-sizes and household requi reme nts, or the construction of new larger dwellings to house the overcrowded ho useholds. Never- theless addition of rooms to existing dwellings, where such a co urse of action is possible, is more often than not the most convenient solution to the prob lem, specially where an acute shortage of dwellings an d of dwelling- space in them makes populati on movement impossi ble and where resource-scarcit y precludes the building of new dwellings. In such situations the

21 growth of the existing dwellings by addition of rooms becomes the only hope for improvement in an otherwise hopeless situation. This solution has many advantages such as its low-cost, small building scale well adapted to poor families budget-restrictions as well as its lack of social friction so characteristic of relocation schemes. The overcrowding improvement achieved in the state of Colima in the period of the last twenty years is largely due to the addition of rooms to the existing dwellings.

Within the general problem of overcrowding, there exists the very specific and critical problem of the one-room dwellings, known in Mexico as CUA RTOS REDONDOS. These type of dwellings, which are s ti 11 very numerous in

Me.xi co in general and also in the State of Colima, are the most extreme expression of th e housing problem, as in them not only is there crit i ca 1 overcrowding which reaches mean values of 6 perso ns per room and extreme values of 9 persons per room and even more, but usual-ly al the other forms of unsatisf ie d housing needs such as lack of running water, sewers, bathrooms, kitchens, deficient building materiales and high structural risk as well. As expected, the peo ple on the lowest rung of the economic ladder occupy these dwellings, although there a re many househol ds that could afford better, but whi ch nevertheless are also dwellers of the

CUARTO REDONDO dwellingS.

22 Although the general overcrowding measures and the indes-

number of rooms needed already include the CUARTOS

REDONDOS, there is a need of a special subcategory for

classifying them in view of the special character and

high social priority that this sub-group of housing needs merits. b) The second category of unsatisfied housing-needs has

its origin in those deficiencies that make the dwellings inappropiate in their present condition for

the households living in them according to minimal housing norms, but which could nevetheless be upgraded

so has to make them comply with these norms. Those

deficiencies that can not be eliminated through

upgrading or repair of the existing dwellings, do not

belong in this category but in the next, as they generate

needs of total substitution and building of new dwellings.

The mexican' census includes information on some of the

most relevant dwelling-characteristics, from which dwe-

lling deficiencies can be infered directly or in some cases indirectly by adoptiong some simplifying assump-

tions, and a set of norms definning the characteristics of a minimally acceptable dwelling. The deficiencies

th.an can be infered so from the census are the following:

23 -ft Lack of Running water inside the dwelling

Running water outside the dwelling, Sewers

Electricity Bathrooms

Bathrooms with running water, Kitchens,

Kitchens not used as bedrooms Paved floors

Presence of Inadequate Materials in Walls and Roofs.

With the exception of th.e last deficiency, presence of inadequate materials in walls, all the rest of deficien cies can be considered, by rati onal simplifications as belonging into this category of reparable housing- deficiencies. that don't require total dwelling substi- tution.

As the same dwelling can have more than one type of deficiency, it would be counted as many ti mes as deficiencies it has, as they are in no way mutually exclusive. The same is true with regard to rooms-need included in the first category, considerin g that a dwelling can simultaneously be lacking vit al features as well as more rooms needed by its household.

24 The important thing is to keep in mind this limitation, and not forget that the assessment of upgrading and repair-needs due to dwelling deficiencies, is counted by dwelling components missing and not by total dwellings needed. The unit of measurement is the dwelling compo- nent lacking, such as electricity, sewers, piping, bath- rooms etc. and not the total dwelling. In this respect there is no double-counting.

Like in the case of the other categories of unsatisfied housing-needs, the number of dwelling-features or components missing is only a need-assessment and not a solution, as there are additional alternative solutions to the problem, such as total substitution of the dwelling, although generally it is almost self-understood that upgrading and repair is the- most viable and -comenda ble option, specially in weak. economies were resource- scarcity is a fundamental limitation. Like room-addition to existing dwellings, dwelling-repair and upgrading has the advantage of its low cost, small family-scale and minimal social friction. In a state like Colima, dwelling upgrading and repair is probably the major alternative for effecting a far-reaching improveme.nt in its housing situation.

-25 It must be pointed out that in the case of some of the

deficiencies, the last census of 1980 registeres in

crossed tables the simultaneous presence in the dwellings

of up to 3 of them such as the lack of electricity, running water and sewers or of paved floors and of ade--

quate materials in roofs and walls. This information

does allow the subcategorization of the total repair-

need according to the number of deficiencies present,

1, 2 or 3, and is very useful as a priority or gravity

measure of the housing situation. c) -The third category includes the unsatisfied housing-

needs of the households presently living in ruinous or

insecure dwellings, that are not susceptible or

economically worthwhile of being upgraded and that could

only be. satisfied by the total substitution of their present dwellings for more adquate ones.

The. mexican census information does not have any direct

information on the ruinous state or insecurity of the

existing dwellings. This information can only by

infered indirectly from the information on the wall-

materials of the dwellings, under the simplified but

well-founded assumption that non-masonry bearing walls

in the dwellings is a non-reparable deficiency that

requires the total substitution of the dwellings. To

26 better understand this assumption one has to remember that in the majority of Mexico due to its building tradi tion and technology non-masonry bearin g walls is syno.ni- mous with primitive and insecure build ing quality, specia lly were it is confirmed by the simult aneous occurrence of non-concrete roofs and unpaved floor and high percen- tages of CUARTO REDONDO dwellings and lack of fundamental dwelling-features such as running wate r, bathrooms and kitchens. In the specific case of Col ima the assumption is particularly justified if one consi ders the high-risk rating of the state in view of its cri tical seismic, volcanic and hurricane activity.

The unit of measurement of unsatisfied housing-need in this category is the complete dwelling and when inclu- ded in this category it is mutually ex clusive with the rest of the other 3 categories, as a dwelling can not be demolishable and reparable at the same time.

The alternative solutions to the unsat isfied needs of

total dwelling-substi-tution in this ca tegory, include not only the construction of new adequ ate dwellings but

also the occupation of vacant adequate dwellings if

availabe, provided they are within the possibilities

and requirements of the households aff ected which

usually belong to th.e poorest segment of the population.

27 Although the materials used in the dwelling-walls

furntsh the fundamental criterion for dwelling demolition

and substitution, the triple-crossed information on the

wall, roof and floor materials is valuable for subcatego-

rizing the demolishable dwellings according to their degree of materials-deficiency and demolition priority. d) In the fourth category of unsatisfied housing needs are

included the households that for some reason or another

are lacking permanent housing accomodations, and are

being housed in instalations not registered as private

dwellings, or that double-up with other households in their

dwellings for lack of their own homes.

These missing dwellings constitute the fo urth nee d-ca

tegory. The 1980 mexican census has incl uded for the

first time information on the first group of homeless

people, by detecting them in those instal 1ati ons not

considered private dwellings, but on the othe r hand it has unfortunately eliminated the data on the family-ties

of the household-members in the private dwell ings, thus

making it impossible to detect the outsid e no n-inmediate- family household members that share the dwell ings. This

information was included in the past in t he national

census.

The people doubling-up and sharing with other households

their housing accomodations, are know in Mexico under

28 the generic name of ARRIMADOS, dnd their number is in no way unsignificant, although some of tnem, specially those with close family ties would not separate themselves from the main househols even if dwellings were available. In these cases, their needs are better expressed by the rooms required by them within the. dwellings, than by independent additional dwellings. Although even in this case it can be argued that close-by independent dwellings would best serve their need.

The unit of measurement of this category of unsatisfied housing needs is basically the dwelling, although as just remarked there can be some exceptions in a fraction of th:e needy people. As is the case with the households living in demoslihable dwellings, their need can be solved by occupying vacant dwellings if there be any that fit their requirements or by building new dwellings directly for them or indirectly for other households that would make available their vacated dwellings for them. e) There is a need for a certain percentage of vacant dwellings for the proper functioning of the housing- market. At any one moment there are some households

whose housing needs change with respect to location, rent or size, and to allow these households to move

29 accordin g to their need it is necessary to h.ave a certain fraction of the hou sing stock vacant, Full occupany of the total dwelling stoc k is thus in no-way desirable, and would reflect a conditi on of critical undersupply.

Conversely an excessive vacancy rate would imply a condition of oversupply which is wasteful in the use of scarce resources, altho ugh th.ere is a difference in this respect between rental uni'ts and owne-r-occupied units. For rental units there is a need of a much higher vacancy rate than for owned units, because turnover ratio is apt to be 2 to 3 times higher for them. WhTle a 5% vacancy rate would be considered normal and destrable for rental units, allowing reasonable choi ce to renters, it would be considered excessive and undesirable for sales units , implying a undesirable situation of market-oversupply,

Vacancy needs are determined by multiplying the total number of households by a vacancy rate which is usually determined as a function of the growth-rate of the population. The vacancies needed are often calculated separately for rental units and for owner occupied units, in view of their differences.

Classified according to the population growth-rates and owner rental occupancy, the vacancy rates considered desirable are the following:

p. 30 - For slower growth areas with a annual population

growth-rate below 1.5%

Owner Vacancy rate: 0.5% to 1.0%

Renter Vacany Rate: 4.0% to 5.0%

- For intermediate growth areas with a annual population

growth-rate between 1.5% and 3.0%

.Owner Vacancy Rate: 1.0%

Renter Vacancy Rate-; 5.0% to 6.01

- For fast growing areas with a annual population

growth-rate above 3.0%

Ow-ner Vacancy Rate: 2.0%

Renter Vacancy Ra-te; 6.0% to 8.0%

Many experts, on very logical grounds go as far as not to include deteriorated vacant dwelling units in their

vacancy counts.

31 FUTURE HOUSING-NEEDS ASSESSMENTI

The housing deficit is only a momentary picture of the unsatisfied dwelling-needs that have accumulated over time up to the present moment. As time goes by new- needs are added as the population grows and changes its characteristics and the housing-stock undergoes deterioration and losses. Any policy or plan to mitigate or reduce the present deficit, requires therefore as a complement a forecast and assessment of the future housing needs to complements the present picture.

Such a forecast is a complex problem not only for the reasons that accompany any f uture projection such as its uncertainty and conditionality, but also. due to the difficulty of

understanding the fa ctors that act behind the housing dynamics and for the more practical reasons of data availabi

lity and of its prop er interpretation. Notwithstanding the

difficulties, there has arisen a methodology on future housing-needs assess ment, that can be of great help in

guiding and formulti ng housing-policy.

The major need-categories that are generally considered in

the assessment of future housing needs are the following:

a.- Housing needs that originate in population-growth.

32 b.- Housi ng needs that originate i n the reduction of the mean househol d-si ze. c, Housing needs that originate in the aging and deteriora

tion of the existing dwelling stock. d.- Housing needs that originate in the losse s suff ered by

the. housing stock as a result of natural and man-made

disasters, public-works and demolitions.

9.- Housing needs that originate in the conve rs ton of dwelling units to other uses, thus causin g loss es to the housi ng-stock. f.- Housing needs that originate in the need to maintain an

adequate supply of vacant dwellings to make possible the internal population movements in an area.

A more detailed discussion of these six need cate.gories

w-ill follow in the same order; a.- Population-growth in an area occurrs as a result of the

excess of births over deaths and/or immigration over

emigration. As a direct effect of population growth

there is also a growing need for additi:onal dwellings

to accommodate the new population. Population forecasts

are therefore an essential step in the assessment of future housing needs, and from them future, dwellings

needs are calculated by dividing the population growth

by the mean hosehold size. In order no to confuse the

33 effects of populatiQn growth with those of hQusehQld-

size reduction which also generate housing needs, this

last effect is eliminated by provisionaly assuming a

constant household size value, as if the household size at the beginning of the period had not changed. The

housing need due exclusivedly to population growth is

thus obtained in the following manner:

DWELLINGS NEEDED BECAUSE _ OF POPULATION GROWTH 2 1 - h

were P2 is the population forecasted for the- future

moment 2, P1 , the population at the beginnin g of the. period and h the mean household size at tha t inittial point in time.

Pop.ulation growth is the major factor responsible for

growing housing needs in developing areas., where there

are usually high birth and internal migration rates, b) Reduction of mean household size, (number of people

per dwelling) is a significant factor in the

growth of housing needs. Even in a population with

zero growth, but in which the mean househQld size has

udergone a reduction in size, the same number of people

will require a greater number of dwellings to accommodate

themselves. If it is understood that the households is

34 not identical with the. nuclear family, as the hQusehold may-include non-family members and unrelated persons, and be miss ing fami ly members as well, who have left the family fold be f ore thei r marri age, one can see that househ old siz e reduction may come from the reduction of the size of the nuclear family (less chil dren per family), or from t he increasing number of fa mily members who want to live i ndependently, such as sing le sons and daugthers who set up their own households or widowed elderly fol ks who don't want to live with th eir married children. Reduction in household size may also come about by the dimin ishing number of people do ubling-up with other househo lds, and setting up their own accommodati ons as their economic conditions improve..

In general househo ld size diminution is very. strongly linked with economic improvement, and may be even used as a indicator and symptom of it.

The increase in housing needs due to the exclusive reduction in household size can be calculated by subtracting the dwellings needed by the future population

P2 assuming no household reduction or change from its original size hi (h = number of household members at moment 1), from the total number required by that population as a result of the new household size h2

35 Thus the formula can be expressed as follows;

DWELLINGS NEEDED BECAUSE _P OF HOUSEHOLD-SIZE REDUCTION 2 2 --- ( 2) h2 h1

3.- Even if there were no population growth nor reduction in the household size, additional housing needs would

originate from the aging and deterioration of the

existing housing stock, as well as from the changes in

the housing norms requiring better dwellings, The housing stock requires a permanent replacement process

to substitute its deteriorating elements, and these

replacement-needs as they are usually called, are

determined basically in terms of the life span which

best fits the characteristics of the housing stock,

Although there is no simple rule of thumb to arrive- at

the life span, one can say that it is that age of a

building or buildings were total substitution is more ecQnomical than maintenance and rehabilitation. On

the basis of the life-span criterion one might arrive to

a maximum life period of 100 years, in cities with

well-built dwellings to a minimum of 20 years in rural

areas with a inadequate primitive dwelling-stock which

require a rapid replacement. The life-span chosen is

translated as the percentage of the total housing stock

which is to be substituted every year, so as to complete

36 the total replacement cycle within the limits of the

life span. Thus a 100 year life span translates into a

1% yearly replacement rate, while a 20 year life span is

equivalent to a 5% replacement rate. It is very common to encounter in most needs assessment studies, rates of

2% which correspond to a 50 years life-span. The

replacement needs that arise in a given period of time

can be formulated thus-:

DWELLINGS NEEDED FOR = r t DETERIORATION REPLACEMENT 1 2 D1-2

were r is, the replacement rate adopted, t 1 - 2 the time

period in consideration and D1 2 the mean housing stock in that time period.

4.- The destruction of dwel-lings by human acticns or by

natural forces di'minishes the housing stock and

originates a need for replacing the dwellings lost.

The destruction of dwel lings can come about by the.

occurrence of phenomena such as earthquakes, floods,

hurri canes , fires , e xplosions and the I ik e. Tak en

individually the loss of a particular hQuse may be

unforeseable, but collectively and considering a

larger time period there arises a foreseable regularity

and probable losses can be estimated in an approxi'mated

way by statisti'c- probabil istic methods. The statisti cs

37 on the occurrence of these phenomena and of their losses is the basis of the so. called risk estimates, by which the insurance companies calculate their premium-rates and make their fundamental decisions. In the case of

Mexico there are adequate fire damage statistics, and more recently flood-damage. statistics have been started, but concerning other destructive phenomena there is no damage assessment done yet, although it seems very likely that this will change in the near future.

The damage statistics mak.es it possible to calculate for every type of destructive phenomena, the percentage of the housing stock that will probably be lost in part or totally in the future time period considered.

These values. are not only dependent on the intensity and frequency of the phenomena taking place in the region considered but also on the capacity of the dwelling structures to resist them. For this reason two areas similar in their exposure to destructive phenomena, but different in their type of construction may present quite different risk. factors and assessment result.

The housing stock may als.o suffer losses as a result of demoli tions due to public works or soaring land

38 prices that make their presen t land uses unprofitable.

Where demolitior permits are required they offer an

exce.llent data-base for demol ition statistics,

alth.ough many local governmen ts don't take advantage

at all of this information. It should be remarked

that demolition permits are a means of controling and

diminishing the loss of good dwellings as a result of intentional demolition.

5.- A number of dwelli:ngs is lost annualy from the housing

stock due to their conversion to other uses different

from their original use such as offices, factories

warehouses and schools, originating the need of their

replacement. Additional dwellings are also lost by

merger of smaller dwellings into bigger ones. Sometimes

these losses are numerically compensated by the conver-

s'on of non residential building to housi'ng and the

subdivision of larger dwellings into smaller ones.

In central metropolitan areas where the demand for

offtce space is very often not satissfied by the existing office buildings, the number of conversions

may inflict important losses to the housing stock, and

the same is true of conversions to warehouses and

indus tries that take place in areas that have advantages

for these activities.

39 As is the case with other other losses discussed, these

losses are also measured by their percentage number

relative to the total housing stock. Where land-use

control is well established, and permits are required

to make conversions and mergers of dwellings, these

offer the necessary data base for obtaining the statiscal

information on the probable number of future conversions

and mergers. The permits are not only used for the

control of incompatible land uses but also sometimes as

a means of protecting the housing stock against loss of

dwelling units were there is a shortage of them.

6.- A increase in the number of households in a period of

time not only originates a need for new dwellings, but

also produces a need fo.r extra vacant units in addition

to those already existing, in order to allow for proper household mobility. These vacant dwelling-needs

are calculated by the same method and vacancy rates

already discussed in the chapter on present unsatisfied housing-needs

p. 40 A CASE STUDY: THE STATE OF COLIMA, MEXICO A CASE STUDY: THE STATE OF COLIMA, MEXICO

AN INTRODUCTION.

The methodology on the assessment of housing needs outlined in its general principles in the previous chapter will be applied in what follows to asses the housing situation in the State of Colima, located on the Pacific-Coast of Mexico, in the inmediate vicinity of the states of Jalisco and Mi-- choacan. This state was chosen for this purpose in view of the fact, that until August 1982, results of the 1980 Natio- nal Census, were only availabe for this state and for Baja

California Sur.

Before applying the housing needs assessment methodology it is neverthless necessary to analyse the characteristics in space and time of the population of the state, and to venture into their future projection, as housing needs are directly related to population characteristics. This chapters will have such a introductory character to the housing assessment proper. To begi.n with, the human- settlements structure of the state will be analyzed first and its spatial-distribution trends discerned in order to be able to spatially locate the future housing needs. Subse- quently in the chapter the population-growth projection will be dealt with as far as the year 2000, which for the housing problem seems to be the proper planning horizon.

41 Mapa de la Repiblica Mexicana

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A. 014 uk 1000 The State of Colima is a small state, one of the smallest in, populat.i.on and area in th.e country, 346,293 people in an area of 5,455 Km2 , and it comprises at present 10 municipa-

lities: Armeria, Colima, Comala, Coquimatfan, Cuauhtemoc, Ixtlahuacan, Manzanillo, Minatitlan, Tecoman and Villa de

Alvarez. The municipal division of the state was modified

in th.e sixties by the secession of two sections of the

Manzanillo and Coquimatlan municipal ities and the creation of a new municipality called Armeria, whose independent data

started to appear for the first time in the 1970 census.

Th.e capital of the state is th.e city of Colima with a

pQpulation of 86,044 people (_19801; Tecoman with 46,371

people and the port of Manzanillo with 39,088 people are

the other two most important cities in the state. These

cities are located with.in th-e municipalities that bear

th-eir name, but they only comprise a fraction of the total

population of them. The smallest unit for which. census

data i.s published is the municipality, and when the cities are not nearly i'dentical with their municipalities, the

municipality data may not be representative of the local ity si'tuati on.

The degree of centralization of the population of every

municipality in its largest town or city can be appreciated

through the following data on the populati'on of these cities

44 and the percentage they represent relative to the total municipality population.

MUNICIPALITY TOTAL MUNICIPALITY POPULATION OF LARGEST POPULATION CITY IN THE MUNICIPA- LITY

No. No.

ARMERIA 21,597 100.0 12,692 58.8

COLIMA 99,438 100 .0 86 ,044 85.1

COMALA 15,798 100.0 7,308 46.3

COQUIMATLAN 13,921 100.0 7,822 56.2

CUAUHTEMOC 22,007 100.0 13,287 60.4

IXTLAHUACAN 4,795 100.0 1 ,894 39.5 MANZANILLO 71,941 100.0 39,088 54.3

MINATITLAN 6,767 100.0 3,088 45.6

TECOMAN 66,543 100.0 46,371 69.7

VILLA DE ALVAREZ 19 ,471 100.0 17 ,448 89.6

TOTAL OF STATE 342,258 100.0 86,044 25.1

Although a large part of the pop u1 ati on is concentrated in the largest towns of the muni cip a1i ties (wh ich by the way are very small in some munici pal ities l ike Ixtl ahuacan

(1.894 p.) and Minati tlan (3,088 p.) the re are a large number of small dispersed towns. many of them with less than 100 inhabitants.

45 The trend towards central i,zation of the population i,n th-e largest towns of the. mujnicipali.ties is evident in the statistical data. With the exception of Armeria, this is true of every municipality in the state although there are differences in the stage of centralization achieved and the rate of achievement between the municipalities, as can be gathered from the followina data:

MUNICIPALITY POPULATION OF LARGEST CITY IN THE MUNICIPALITY AND RATIO TO THE TOTAL POPULATION IN THE MUNICIPALITY

1960 1970 1980 No . % No. No.

ARMERIA 10,616 64.9 12,692 58.8

COLIMA. 48,518 81..0. 58,450 80.1 86,044 86.1

COMALA 4,943 42.9 5,592 44.6 7,306 46.3 COQUIMATLAN 4,487 53.6 6,212 57.9 7,822 56.2

CUAUHTEMOC 3,765 27.9 5,334 30.3 13,287 60.4 IXTLAHUA.CAN 1,523 36.3 1,746 36.4 1,89.4 39.5 MANZANILLO 19,950 50.1 2Q,777 44.9 39,088 54,3 MINATITLAN 933 29.6 1,791 40.6 3,088 45.6

TECOMAN 16,162 67.6 31,625 71.2 46,371 69.7 VILLA DE ALVAREZ 3,963 63.3 8,674 78.0. 17,448 89.6

TOTAL OF STATE 49,244 60.3 150,817 62.5 235,040 68.7

P 46 Of the 724 localities in the state, 708, 98% of the total

house less than 2,.500. people, and 544, 75% of the total have

less than 100 people. As things stand today these rural

localities with less than 2,500 inhabitant, only contain

25.7% of the total state population. Nevertheless there is

a great variation between the municipalities with relation

to the percentage of population in these rural localities.

In one extreme there are municipalities like Ixtlahuacan where 100% of the population is dispersed in towns smaller

than 200 people, while in the other extreme there are

municipalities like Colima and Villa de Alvarez where only

around 11% of the total population, is located in them.

The degree of urbanization, or concentration of population

in towns withinmore than 2,500 people is well expressed by

the ratio between the populatiton located in them, to the-

No. of people in the smaller towns, as can be gathered

from the following table:

47 v

TABLE No. 1

no. OF LOCALITIESOF LESS THAN 2,500 PEOPLEAND THEIR POPULATIONIN COLIMA- 1980.

MUNICIPALITY LOCALITIESWITH LESSTHAN LOCALITIESWITH MORETHAN URBANIZATION No. LOCALITIES 2,500PEOPLE 2,500 PEOPLE RATIO PER THOUSAND A B C = B/A PEOPLE POPULATION No. POPULATION % No. D ARMERIA 29 5,914 27.4 2 15,933 72.6 2.7 1.4

COLIMA 103 11,674 11.7 2 88,754 88.3 7.6 1.1

COMALA 52 8,515 53.9 1 7,308 46.1 0.9 3.3

COQUIMATLAN 29 6,119 43.9 1 7,822 56.1 1.3 2.2

CUAUHTEMOC 36 9,410 42.0 2 .13,287 58.0 1.4 1.7

IXTLAHUACAN 34 4,786 100.0 0 0 0.0 0.0 7.1

MANZANILLO 86 22,516 31.3 3 50,774 68.7 2.26 1.2

MINATITLAN 36 3,788 56.0 1 3,088 44.0 0.82 5.5 TECOMAN 242 12,892 19.4 3 53,972 80.6 4.19 3.7

VILLADE ALVAREZ 61 2,093 10.7 1 17,448 89.3 8.34 3.2

TOTALOF STATE 708 87,707 25.7 16 258,586 75.3 2.95 2.1

%W Th.e. municipalities that stand out by their above average r-a-tio{eolumn C. urbanization indexl are Col ima, Villa de

Alvarez and Tecoman, while the rest are all below the state average, indicating their much weaker urbani zation.

The degree of population dispersion can be measured by the ratio of No. of localities to population Ccolum D, No. of localities per thousand People). Municipalities like I xtl a- huacan and Minatitlan stand out by their high ratilo of localities to population and low urbanization index.

Analysing the urban trends in th.e state since 1960, one can discern some very clear tendencies such as *the growing urbanization, the dimini'shing number of localties .per thousand peQple, and th e growing importance of the largest town in every- munici.pa l ity.

The trends of growing urbanization is reflected in the. diminishing percentage of the population residi.ng in the local ities of less than 2,500 people, although their absolute number still shows a small increasel

YEAR POPULATION-TREND IN LOCALITIES WITH LESS THAN 2,500 PEOPLE IN THE STATE OF COLIMA POPULATION % CRELATIrVE TO POPULATION OF MUNICIPALI.TY) 1960 62,820. 38.,2 1970 74,2.75 30.8 1980 86, 591 25.3

49 The. trend towards a growing urbanizati.on is also evident in the majority of the municipalities, although ther.e are great differences in the rate that this pienomenorf is occurring in them, as can be seen from the following data:

URBANIZATION TREND IN COLIMA BY MUNICIPALITIES 1960-1980.

MUNICIPALITY PERCENTAGE OF POPULATION IN LOCALITIES OF LESS THAN 2s,50Q PEOPLE.

1960 1970 1980.

ARMERIA 17.4% 27.1% COLIMA 19 ,Q% 16.1% 11.6% COMALA 57.1% 55.4% 53,3% COQUIMATLAN 46.4% 42.1% 43.9% CUAUH.TEMOC 72,1% 45.5% 41.5% I:XTLAHUACAN 100.0% iQO .0% 1.Q0.Q% MANZANILLO 37.7% 41.3% 30..7% MINATITLAN 100.0% 100.0% 55.1% TECOMAN- 32.3% 21.2% 19,2% VILLA DE ALVAREZ 36.7% 22,0% 10.7%

TOTAL OF STATE 38.2% 30.8% 25.3%

The reduction in population dispersion can be discerned t,n the state as a whole through the diminishing number of localities per thousand people since 1960 as follows:

50 YEAR NUMBER OF LOCALITIES TOTAL NUMBER PER TROUSAND PEOPLE OF LOCALITIES

1960 4.3 705

1970 2.4 590

1980 2.1 724

Wi th in the muni cpal ities the trend towards less locali ties per thousand people is also discernible in general, with th e exception of the municipality, of Ixtlahuacan which does not show yet a reduction in its dispersion.

MUNICIPALITY TOTAL NUMBER OF LOCALITIES AND PER THOUSAND PEOPLE

1960 1970 1980

No. PER 1000 PER 1000 No. PER 1000

ARMERIA 42 2.6 31 1.4

COLIMA 149 2.8 71 1.0 105 1.1

COMALA 57 4.9 37 3.0 53 3.4

COQUIMATLAN 38 4.5 25 2.3 30 2.2

CUAUHTEMOC. 42 3.1 25 1.4 38 1.7

IXTLAHUACAN 30 7.1 47 9.8 34 7.1

MANZANILLO 164 4.1 98 2.1 89 1.2

MINATITLAN 44 14.0 38 8.6 37 5.5

TECOMAN 134 5.6 157 3.5 245 3.7

VILLA DE ALVAREZ 47 7.5 50 4.5 62 3.2

TOTAL OF STATE 705 4.3 590 2.4 724 2.1 7-

Th.e urbanization and centralization process is universally

linked to the diminishing demand of agricultural labor force

in the rural areas. As a result the idle agricultural labor

force leaves its rural settings and emigrates to the larger

urban centers were there is growing labor-force demand in the secondary and tertiary sectors. This trend is true for

Mexico as a whole, and specifically for the state of Colima

as well, where the process even seems to be proceeding at a

faster pace, and where the percentage of people in the service sector already has exceeded in 1980 the number of people in th-e agricultural or primary sector, as can be seen

from the following tables in which the national labor-force

distribution by sectors is compared to the state distribution:

SECTORIAL COMPOSITION OF LABOR-FORCE

C 0 U N T R Y C 0 L I M A -SECTOR 1960 1970 1980 1960 19 7Q 1980 PRIMARY SECTOR 55.3% 40.8% 41.8% 55.4% 44.8% 28.7% SECONDARY SECTOR 17.8% 21.6% 23.2% 13.4% 13.6% 14.7% TERTIARY SECTOR 26.2% 31.9% 35.0% 16.9% 33.3% 31.7%

Growth- of employment i'n the secondar y sector Cindustry) in

the state has been slower than in the country, nevertheless one

must be cautious wi'th the data, as a very high percentage of

the labor force in the state did not specify its activity in 1980.

52 Within the state in regard to the sectorial compostion of their labor force, Colima, Manzani llo and Villa de Alvarez have relatively small percentages of their labor force in the primary activities, while the rest of the municipalities are dominated by the agricultural activities.

One can also verify for- every municipality the trend of a diminishing agricultural work-force, and the growing importance of the industrial and service-activities. The above-average percentage and growth-trend of industrial activities in the municipalities of Villa de Alvarez, Mina- titlan, Cuauhtemoc and Colima i~s evident in the data, as i's also the dominating importance of the service activities i~n the municipalities of Colima, Manzanillo and Villa de Alvarez, whi ch are service-centers for the entire state (See next table)

53 TABLE No. 2

SECTORIAL COMPOSITION OF LABOR - FORCE BY MUNICIPALITIES (%)

MUNICIPALITY PRIMARY SECTOR SECONDARY SECTOR TERTIARY SECTOR

1960 1970 1980 1960 1970 1980 1960 1970 1980

ARMERIA 60.0% 41.7% 9.9% 4.0% 19.1% 20.8%

COLIMA 34.9% 21.9% 12.0% 20.5% 19.5% 16.6% 43.6% 49.1% 41.3% COMALA 83.0% 70.2% 42.8% 4.5% 7.7% 9.9% 12.1% 22.1% 17.1% COQUIMATLAN 86.3% 76.6% 41.9% 3.2% 6.7% 7.6% 10.2% 13.1% 13.0% CUAUHTEMOC 83.6% 63.4% 48.7% 9.7% 15.7% 17. 1% 13.3% 14.8% 21.9%

IXTLAHUACAN 91.7% 85.8% 71.9% 2.7% 1.8% 5.9% 5.3% 9.0% 8.2% MANZANILLO 48.9% 35.7% 19.1% 13.2% 12.5% 17.5% 36.4% 45.0% 37.9% MINATITLAN 93.2% 72.3% 58.2% 2.3% 6.5% 11.3% 4.4% 7.0% 18.2% TECOMAN 66.0% 58.6% 43.7% 10.1% 9.7% 10. 1% 22.5% 22.8% 25.7%

VILLA DE ALVAREZ 67.9% 47.3% 22.2% 9.8% 16.6% 20.0% 20.7% 29.0% 30.8%

TOTAL OF STATE 55.3% 44.8% 28.7% 13.3% 13.6% 14.7% 16.8% 33.4% 31.7%

t i2.~ V.

TABLE No. 3 COMPARATIVE DEMOGRAPHIC TREND DATA IN THE COUNTRY AND THE STATE OF COLIMA

A C T 0 R Y E . A R

POPULATION 1940 1950 1960 1970 1980

COUNTRY 19,653,522 25,791,017 34,923,129 48,225,238 67,382,581 STATE 78,806 112,321 164,450 241,153 A 346,293 No. OF BIRTHS

COUNTRY 875,471 1,174,947 1,608,174 2,132,630 2,427,058 STATE 3,450 5,523 8,002 11,199 11,887 BIRTH-RATE PER COUNTRY 44.5 45.6 46.0 44.2 36.2 THOUSAND PEOPLE STATE 43.8 49.2 48.6 46.4 34.3 FERTILI TY-RATE COUNTRY 6.4 6.5 6.6 4.8( 2) STATE .6.1 7.0 6.9 No. OF DEATHS

COUNTRY 458,906 418,430. 402,545 - 485,656 434,515 STATE 2,145 1,723 2,073 2,462 2,293 DEATH-RATE PER THOUSAND PEOPLE COUNTRY 23.3 16.2 11.5 10.1- 6.4 (8.5?) STATE 27.2 15.3 12.6 10.2 6.6 ( 9. 3?) NATURAL GROWTH g= b-c. COUNIRY 416,565 756.517 1,205,629 1,646,974 1,992,543 STATE 1,305 3,800 5,929 8,737 9,594 NATURAL GROWTH RATE PER THOUSAND COUNTRY 21.2 29.3 34.5 34.2. 29.6 STATE 16.6 33.8 36.1 36.2 27.7 ) No. MARRIAGES COUNTRY 156.358 177.531 239.527 357.080 465.157 STATE - 688 794 881 1,519 2,400 ) MARRIAGE-RATE PER THOUSAND PEOPLE COUNTRY 8.0 6.9 6.9 7.4 6.9 STATE 8.7 7.1 5.4 6.3 6.9 SOURCES OF DATA: ANUARIO ESTADISTICO DE LOS E.U.M. - S.P.P. MEXICO DEMOGRAFICO-BREVIARIO 1980-81 CONAPO MEXICO ESTADISTICA ECONOMICA Y SOCIAL POR ENTIDAD 1981 - S.P.P. Turning to the subject of population growth in the state of

Colima, it is necessary to point out the high annual popula tion growth-rates of its recent history, which have fluctua ted very little, and that have been significantly higher than the overall national rates until 1980 when they almost equaled each other.

MEAN POPUL ATION ANNUAL GROWTH - RATES YEARS NATIONAL COLIMA RATIO GROWTH-RATE. GROWTH-RATE ' b/c Ca) (b) Cc)

1940-1950 2.75% 3.61% 1.31%

1950-1960 3.08% 3.89% 1.26%

1960-1970 3.128% 3.90% 1.19%

1970-1980 3.70% 3.68% 0.99%

The higher population growth-rate of the state produced a steady increase of its share in the total population of the country. in those years

YEAR SHARE OF STATE IN COUNTRY POPULATION % (_COUNTRY = 100.00%) 1940 0.40% 1950 0.44% 1960 0.47% 1970 0.50% 1980 0.50%

56 In view of this, it does not seen probable that the state

population annual growth rates will go down to that low

level the National Population Council-CONAPO (Consejo

Nacional de Poblacidn) foresees in its "programatic"

forecast for the next twenty years, It looks more like a

goal than a forecast.

CONAPO FORECAST- PROGRAMATIC ANNUAL POPULATION GROWTH-RATES

YEARS NATIONAL COLIMA GROWTH-RATE GROWTH-RATE

1980- 1990 2.18% 1.90%

- 1990-2000 1.52% 0.91%

Population growth is the result of the excess of births over deaths and/or immi grants over emig rants. The country as a

whole h as shown a enormo us growth. of its population in recent decades as a result fundamentally of an excess of

births over deaths and not immigration,as foreign immigration

has be en severely restricted. The fundame ntal cause of the

growi ng births-deaths difference has been the steady- reduction

of the mortality rates due to the advancement of modern

medi cine (antibiotics) and the growth of institutionalized

medi cine in Mexico. But, inside the count ry, population growth

i's als o caused by internal immigration to those metropolitan

and geographic regions with high economic attraction. where

.57 more migrants flow in than out, as a result of the economic opportunities found there..

Until recently the growth of Colima was predominantly d ue.

to natural growth, although there was a slight excess of

inmigrants over emigrants. The birth rates and morta lily

rates of the state both tend to dimin ish and so does their

combined effect, although t he rate of natural growth i's still

very high, and special reas ons for an expe cted rapid decl ine

of the birth-rate are not apparent at pres ent. These rat es

show the following evolution since 1940, although some

caution should be applied to the data from 1980 which are

preli minary in character:

1940 1950 1960. 1970 1980 Birth-Rate per Thousand (a) 43.8 49.2 48.2 46.4 41.1

Mortali ty-Rate per Thousand (b) 27.2 15.3 12.6 10.2 7.9 Natural Growth Rate (a-b ) 16.6 33.8 36.1 36.2 33.2

The fertili.ty rat e, number Qf live-born children per mother

seems to be going down accordin g to the 1980 census data,

although. it is still very high in number:

YEAR 1950 1960 1970 1980

6.1 7.0 6.9 5.4

Concerning social-growth (immigrati on-emi gration), there is

still a positive inflow balance in favor of Colima as seem

58 'a" from the following numbers (the 1980 emigration figure is still preliminary). In any case Colirma is certainly not one of the emigration s tates that are losing population.

1960 1970 1980 Immigrants to Colim a (a) 45,242 66-617 84,199

Emigrants from Coli ma(b) -31,715 -39,053 -68,120

a-b +13,527 +27,564 +16,079

Rate of Social-Growth 0.68

It should be remarked that of the 84 ,199 residents that the 1980 census registers as not born in the state, 27,699 of them immigrated to Col ima within the last 4 years.

The employment growth-rate which is strongly linked to population growth, has increased in the last decade, alth.ough in that decade it was numerically below the national figure, reeforcing the statement that a radical popula tion growth-rate reduction seems at present unlikely- Mean YEARS. 1940-50 1950-60 1960-70 1970-80 1940-80

National Growth Rate 3.5% 3.1% 1.4% 6 .2% 3.6%

Colima Growth Rate 3.9% 2.9% 3.3% 4 .8 3.7%

For the purposes fo this study-housing needs assessment-we have therefore chosen from the 3 alternative populatiQn-forecasts worked out by CONAPO for the country as a whole, the one which

59 is based on the historical trend, and rejected the

.pro.ngramati c alternatives, which arrived at unrealistic low numbers:

CONAPO POPULATION FORECASTS FOR THE COUNTRY

YEAR HISTORICAL-TREND PROGRAMATIC PROGRAMATIC ALTERNATIVE ALTERNATIVE ALTERNATIVE A B

1990 91,317,700 86,018,700 86,905,900 2000 128,355 ,900 100 ,041,400 106 ,570 ,400

CONAPO has not only done population-forecasting for the country as a whole, but also for the individual states, including Colima, under the assumption of minimal growth- rates, obtaining as a resul t minor population increments. for the next 20 years for that state.

CONAPO POPULATION-FORECAST FOR THE STATE OF COLIMA.

POPULATION GROWTH-RATE 19'80 346,293 3.68%

1990 417,900 1.90%

2000 457,300 0.91%

Concerning the state-forecast we have chosen to forgo the optimistic CONAPO projections, and instead worked out

population-projections for the state on the assumption of

the continuation of the historic trend using the population

60 projection apportionment method which is based on the relantionship of population growth in an area to the growth of the larger area to which it belongs, as population charges in those larger areas have an important influence on growth or decline in the smaller area. This method is specially applicable in areas that have shown a fair consistent trend between its growth and that of its region and the nation.

In applying the method, we used the CONAPO "historical" population forecas for the nation as a point of departure for forecasting th e growth of the geo graphical region V to which the state of Colima belongs (Region V includes Jalisco,

Michoacan, GuanajLiato and Colima). descending in a hierarchical order to forecast th st ate population and then the municipalities populations. rwo alternative projections were worked out using the method, one based on the population- ratios between the larger and smal ler areas and another on the ratios of the work-forces, whi ch at the end of the process are translated into population-numbers, using projected labor-force/population proportions.

The work-force alternative produces the higher population- forecast of the two and harmonizes best with the historic series, and for that reason was adopted as the most realistic forecast for assessing the future housing needs in Colima.

Summarizing the final results of the 2 alternatives (See tables 5 and 6) we obtain the following two sets of projection

61 POPULATION FORECAST FOR COLIMA BY THE APPORTIONMENT METHOD

YEAR BY LABOR FORCE RATIO BY POPULATION RATIO No. PEOPLE GROWT-RATE No. PEOPLE GROWTH-RATE

1980 346,293 3.68% 346,293 3.68% 1990 488,455 3.50% 415,929 1.85% 2000 686,482 3.46% 554,983 2.93%

Although the state tendency is of unmistakable growth, wi th i n the state of Colima there are great contrasts among the muni- cipa 1 ities in relation to their annual population growth-rates. Some muni cipalities like Villa de Alvarez, Manzanillo, Minati- tlan and Tecoman showed yearly growth-rates above the state- mean in th e last decade, other like Colima are near the avera ge and others far below, or even with negative growth-rates like Ixtl ah uacan, loosing population. The mean annual popula- tion growt h-rates of the municipalities for the last 3 decades

IF are summar ized in the following table.

POPULATION ANNUAL GROWTH RATES OF THE MUNICIPALITIES OF THE STATE OF COLIMA

MUNI CIPALI'TY Y E' A R S 1950-60 1960-70 1970-80

ARMERIA 2.0% COLIMA 3.5% 3 .1% 3.1% COMALA 2.6% 0 .8% 2.3% COQUIMATLAN 3.2% 2 .5% 2 6% CUAUHTEMOC 2.4%. 2.7% 2.3% I:XTLAHUACAN 3.6% 1.4% 0.0% MANZANILLO 3.9% 1.5% 4.5% MI'NATITLAN 2.3% 3 .4% 4.4$ TECOMAN 2.2% 5 .9% 5.8% VILLA DE ALVAREZ 2.2% 5 .9% 5.8% TOTAL OF STATE 3.9% 3.9% 3.6% IV 6-2 TABLE No. 4 ,

POPULATIONPROJECTION BY THEPOPULATION APPORTIONMENT METHOD

H I S T 0 R I C A L S E R I E S PROJECTIONS

1900 1010 1921 1930 1940 1950 1960 1970 1980 1990 2000

COUNTRY 13'607,272 15'160,36914'334,780 16'552,722 19'653,552 25'791,017 34'923,129 48'225,238 69'346,900 93'31U,700128'355,900

REGIONI

COLIMA 65,115 77,704 91,749 61,923 , 78,806 112,321 164,450 241,153 346,293 415,929 554,983

JALISCO '153,891 1'208,855 '.191,957 1'418,310 1'418,310 1'746,777 2'443,261 3'296,586 3'296,586

MICHOACAN 935,808 991,880 939,849 1'048,381 l182,003 1'422,717 1'851,876 2'324,226 3'136,800

GUANAJUATO 1'061,724 1'081,651 860,364987,801 '1'046,490 l'328,712 1'735,4902'270,370 3'135,400

REGIONV 3'216,538 3'360,090 3'083,919 3'353,451 3'725,609 4'610,527 6'195,077 8'195,077 11'037,693 13'727,033 17'674,607

% R./COUNTRY 23.64% 22.16% 21.51% 20.26%. 18.96% 17.88% 17.74% 16.86% 15.92% 14.71% 13.77% RATIO

COLIMA/RI 2.02% 2.31% 2.98% 1.85% 2.12% 2.44% 2.65% 2.97% 3.14% 3.14% 3.14% "RATI0

-I i

4 TABLENo.'5

POPULATIONPROJECTION BY THE LABOR FORCE APPORTIONMENTMETHOD.

H I S T 0 R I C A L S E R I E S P R 0 J E C T I 0 N 1930 1940 1950 1960 1970 1980 1990 2000

:OUNTRYLABOR FORCE 5'165,803 5'858,116 8'272,093 11'253,297 12'955,057 23'687,684 29'544,383 40'855,683 :OUNTRYPOPULATION 16'552,722 19'653,552 25'791,017 34'923,129 48'225,238 69'346,900 93'317,700 128'355,900 .ABORFORCE/POP (%) 31.21 29.81 32.07 32-.22 26.86 34.16 31.66 31.83 EGIONV LABORFORCE :OLIMALABORFORCE 20.002 25.390 37.073 49.553 68.277 108.754 143.215 197.501

JALISCO 391,637 437,000 551,987 748,595 898.184 1'486,771 &iCh0ACAN 327,996 345,089 435,074 669,035 543,578 994,120 - 3UANAJUATO 306,220 307,352 416,079 518,397 562,297 1'036,553

TOTALLABOR FORCE REGIONI l'045,855 1'114,831 l'440,213 11885,580 2'072,336 3626,198 4'139,168 5'232,495

-ABOR FORCE R. T./CON.TRY RATIO (%) 20.25 19.03 17.41 - 16.76 16.00 15.31 14.01 13.03 COL:TA/R.A -RATA (')0 1.91 2.28 2.57 2.63 3.29 3.00 3.46 3.71 COLIMALABOR FORCE/POP (%) 32.30 32.22 33.01 30.13 28.31 31.41 29.32 28.77 POPULATION (61,923) (78,806) (112,321) (164,450) . (241,153) (346,293) (488,455) (686,482)

F The apportionment method was also applied to the muni.cipal

level, in order to forecast the future population distribu-

tion within the state. On the basis of the state

population-forecasts as a point of departure, the

apportionment method was applied to the municipal population data starting from 1930.

The higher state population estimate produced the following

population distribution and annual growth rates (for the

procedure see table 7).

POPULATION FORECAST FOR THE MUNICIPALITIES OF COLIMA

MUNI.CIPALITY TOTAL. POPULATION ANNUAL GROWTH-RATES 1990 2000- 1990 2000 ARMERIA 28,33 0 36,383 2.8% 2.5% COLIMA 136,27 8 183,290 3.2% 3.0% ,COMALA 19,58 8 23,340 2.1% 1.8% COQUIMATLAN 18,56 1 24,026 2.9% 2.6%

CUAUHTEMOC 26,86 5 31,578 2.0% 1.6%

IXTLAHUACAN .3,90 7 1,372 -2.0% -9.9% MANZANILLO 111,36 7 168,874 4.5% 4.3%

MINATITLAN 10,74 6 16,475 4.7% 4.4%

TECOMAN 99,64 4 146,907 4.1% 4.0% VILLA DE ALVAREZ 33,21 4 43,232 5.5% 5.0%

TOTAL OF STATE 488,455 686,482 3.6% 3.5% TABLE No. 6

POPULATIONPROJECTIONS FOR THE MUNICIPALITIESOF COLIMAYEARS 1990AND 2000.

ARMERIA COLIMA COMALACOQUIMATLAN CUAUHTEMOCIXTLAHUACANMANZANILLOMINATITLAN TECOMAN VILIADE T 0 T A L ALVAREZ

POPULATION

1930 No. WASTPART 26,077 5,561 2.767 5,409 9,552 7,151 5;406 61,923 V OF 42.1% 9.0% 4.5% 8.7% 15.4% 11.5% 8.7% 100%

1940 No. MAZANILLO 28.514 7,544 4,887 6,641 3,402 17,229 1,798 5,421 3,370 78,806 AND 36E.2 9.6% 6.2% 8.4% 4.3% 21.9% 2.3% 6.9% 4.3% 100o

1950 No. COQUIWATLAN36,826 8,935 6,100 10,673 2,939 27,038 2,500 16,263 5,047 112,321 % MUNICIPALI TIES 32.8% 8.0% 5.4% 9.5% 2.6% 24.1% 2.2% 10.9% 4.5% 100%

1960 No. UNTIL 53,746 11,512 8,375 13,513 4,198 39,811 3,150 23,887 6,258 164,450 % 1960 32.7% 7.0% 5.1% 8.2% 2.6% 24.2% 1.9% 14.5% 3.8% 100%

1970 1. 6.8% 30.3% 5.2% 4.4% 7.3% 2.0% 19.2% 1.8% 18.4% 4.6% 100% No. 16,350 72,977 12,526. 10,722 17,614 4,80.1 46,234 4,407 44,406 11,116 241,153

1980 % 6.30 29.1% 4.6% 4.1% 6 .4% 1.4% 21.0% 2.0% 19.4% 5.7% 1003 No. 21,597 99,438 15,798 13,921 22,007 4,795 71,941 6,767 66,543 19,471 342,258

% PROJECTION 1990 % 5.8% 27.9% 4.0% 3.8% 5.5% 0.8% 22.8% 2.2% 20.4% 6.8% 100% 2000 % 5.30% 26.7% 3.4% 3.5% 4.6% 0.20% 24.6% 2.4% 21-.4% 7.9% 100%

PROJECTIONI. LON'ERESTIMATE

1900 No. 24,1.3 116,044 16,637 15,805 22,876 3,327 94,831 9,150 84,849 28,283 415,929 2000 6o. 29,414 148,180 18,869 19,424 25,529 1,109 136,525 13,319 118,766 43,843 554,983

PROJECTIONII. HIGHERESTIMATE 1900 No. 28,330 136,278 19,588 18,561 26,865 3,907 111,367 10,746 99,644 33,214 488,455 2003 No. 36,^;.3 183,290 23,340 24,026 31,578- 1,372 168,874 16,475 146,907 54,232 686,482 In abs.olute numbers the population increases that have taken place in the state of Colima the past decades, and those that are forecasted for the next 2 decades are as follows:

HISTORICAL POPULATION INCREASES IN COLIMA

YEARS NLo. PEOPLE % INCREASE RELATIVE TO BEGINNING OF DECADE

1950-1960 + 52,129 146.4%

1960-1970 + 76,703 146.6/

1970-1980 + 98,049 140.6%

FORECAST OF POPULATION INCREASES IN COLIMA

1980-1990 146,197 143.1%

1990-2000 198,027 140.8%

These future popu lation increases whi ch are a major factor in generating new housing needs, will be distributed according to the forecast, in the fol lowing manner:

P, .67 FORECAST OF POPULATION INCREASES BY MUNICIPALITIES

MUNICIPALITY 1980- 1990 % OF TOTAL 1990-2000 % OF TOTAL STATE INCREASE STATE INCREASE

ARMERIA + 6,733 4.6% . + 8,053 4.1%

COLIMA +36,840 25.6% + 47,012 23.7%

COMALA + 3,790 2.6% + 3,752 1.9%

COQUIMATLAN + 4,640 3.2% + 5,465 2.8% CUAUHTEMOC + 4,858 3.3% + 4,713 2.5% IXTLAHUACAN - 880 -0.6% - 2,535 -1.3% MANZANILLO +39,426 27.0% + 57,507 29.0%

MINATITLAN + 3,979 2.7% + 5,729 2.9%

TECOMAN. +33,101 22.6% 47,263 23.9% VILLA DE ALVAREZ +13,743 9.4% 21,018 10.6%

TOTAL OF STATE 146,1 V 100.0% 198,027 100.0%

In absolute numbers the overwhelmi ng majority of these increases will occur according to the forecast in 3 of the municipalities Manzanillo, Colima and Tecoman, who will absorb 75% of the total growth in the 1980-90 decade and

76.6% in the 1990-2000 decade. Man zanillo will not only be the muni ci pality with the hi ghest increase, but its relative

share in that increase will grow. It is evident therefore that the main weihgt of future housing needs as a result of

68 popul ation- growth will be concentrated in the municipalities mentioned.

There are additional demographic factors which have a bearing on housing needs, some of which will be discussed in the remainder of this chapter.

Household-formation begins in the majority of cases with marriage. Annual marriage rates are therefore a important factor to be taken into consideration in assessing housing- demand. The historical series of annual marriage-rates per thousand people and the absolute number of marriages per year in the state has fluctuated since 1940 in the following manner:

MARRIAGES AND MARRIAGE-RATES IN. THE STATE OF COLIMA

H I S T 0 R I C A L D A T A PROJECTION .i940 1950 1960 1970 1980 1990 2000 -No. OF MARRIAGES 688 794 881 1,519 2,400

-ANNUAL MARRIAGE- RATES PER THOUSAND-PEOPLE 8.7 7.1 5.4 6.3 6.9 5.6 5.1

Projecting the marriage-rate series to the future decades one obtains the values of 5.6 marriages per thousand for 1990 and 5.1 for the year 2000.

#I Mean Household size i~n the munici palities shows i,n 1980 a very narrow variati on range. The value in the different municipalities is very near to the mean household sitze in the whole state, which is 5.3 persons per household, as can be seen from the following data:

Mean Household-Size in the Municipalities of the State of COLIMA in 1980.

MUNICIPALITY PERSONS/ROOM

ARMERIA 5.4 COLIMA' 5.1

COMALA 5.5 COQUIMATLAN 5.5

CUAUHTEMOC 5.7

I.XTLAHUACAN 5.8

MANIZANI LLO 5.1

TECOMAN 5.6

VILLA DE ALVAREZ 5.5

STATE 5.3

Th.e mean household-size Qf th.e state varied from 5.3 in 1960, to 5.8 in 1970 and back again to 5.3 in 1980. A projection of its size to the next decades gives a fixed value of 5.5 persons per household for the years 1990 and 2000.

F 70 The household-size distribution of the state has the following value in 1980, as gleaned from table 8 where the household sizes distributions for every municipality are listed:

HOUSEHOLD SIZE DISTRIBUTION IN THE STATE OF COLIMA IN1980. SIZE OF HOUSEHOLD

1 ME1KBER 6.3% 2 MEMBERS 11.6% 3 MEMBERS 13.4% 4 MEMBERS 14. 3% 5 MEMBERS 12.5% 6 MEMBERS 10.7% 7 MEMBERS 8 i 8% 8 MEMBERS 7.2% 9 OR MORE' 15.3% T 0 T A L 100.0 From the standpoint of their marriage status and age th e population composi tion in the state in 1980 is as follows.:

Marriage Status of the Population in the State of Colima 1980:

PEOPLE MARRIED OR LIVING TOGETHER 33.6%

PEOPLE WITH DISSOLVED MARRI'AGES 3.5% SINGLES OVER 12 YEARS OLD 28.0%

CHILDREN LESS THAN 12 YEARS OLD 34.8%

T 0 T A L 100.0%

71 ASSESSMENT OF PRESENT HOUSING NEEDS IN THE STATE OF COLIMA IN 1980 THE HOUSING DEFICIT IN THE STATE OF COLIMA IN 1980.

Using the 1980 Census data of the State of Colima to determine the unsatisfied present housing-needs in that state, one arrives within the methodological framework already discussed at the following results: a) DWELLING-OVERCROWDING. ROOMS NEEDED.

The mi smatch between the different households space-

requi rements and the factual size of the dwelli ngs they

occupy is still one of the major housing proble ms in

the st ate. From a total of 64,270 dwellings in the

state, 45,550, 70.9% of the total stock. have a over-

crowdi ng index above 1.5 persons per room. Eve n if the

mi ni ma 1 standard is lowered to 2.0 persons per room,

there are still 35,245 dwellings. 54.8% of the total,

above this line.

Viewed from the standpoint of the dwellers the overcrowding

problem seems more acute, as 270,050 people 78.9% of the

total population of the state live in 1980 in overcrowded dwellings. These dwellings have a mean overcrowding index

of 3.4 persons per room against a general index in the

state of 2.6 persons/room. With the exception of Colima, Manzanillo and Minatitlan the rest of the municipalities

73 have a high.er percentage of their population living in overcrowded dwellings than the state as a whole, and their overcrowding indexes are higher than the state- average, as can be seen from the data in the table on overcrowding in the municipalities.

In some municipalities like Coquimatlan and Ixtlah.uacan overcrowding affects as many as 86.0% of the total population, and the overcrowding index reaches. in them valves of 3.9 and 3.8 persons per room, re.flecting a situation of severe overcrowding.

.74 TABLE No. 7

No. OF OVERCROWDEDDWELLINGS AND THEIR POPULATIONBY MUNICIPALITIES IN THESTATE OF COLIMA- 980.

MUNICIPALITY TOTAL No. OF OVERCROWDED TOTAL POPU POPULATIONIN INDEX IN DWELLINGS DWELLINGS' LATION IN~ OVERCROWDED' OVERCROWDED (100%) (ABOVE1.5 MUNICIPALITY DWELLINGS DWELLINGS P/ROOM)

No. No. No. No. PERSONS/ROOM

ARMERIA 4,011 2,979 74.3% 21,597 17,635 81.7% 3.5

COLIMA 19,434 12,241 63.0% 99,438 72,312 72.7% 3.1

COMALA 2,860 2,214 77.4% 15,798 13,248 83.9% 3.7

COQUIMATLAN 2,523 2,034 80.6% 13,921 11,968 86.0% 3.9

CUAUHTEMOC 3,827 2,881 75.3% 22,007 18,016 81.9% 3.4

IXTLAHUACAN 828 649 78.4% 4,795 4,098 85.5% 3.8

MANZANILLO 14,202 9,865 69.5% 71,941 56,288 78.2% 3.3

MINATITLAN 1,264 889 70.3% 6,767 5,314 78.5% 3.6

TECOMAN 11,792 9,154 77.6% 66,543 55,200 83.0% 3.6

VILLA DE ALVAREZ 3,529 2,644 74.9% 19,471 15,971 82.0% 3.4

TOTAL OF STATE 64,270 45,550 70.9% 342,258 270,050 78.9% 3.4

DATA SOURCE:CENSUS X 1980 STATE OF COLIMA TABLE No. 8

POPULATION IN THE OVERCROWDED CUARTO-REDONDOS.IN THE STATE OF COLIMA BY MUNICIPALITIES - 1980.

MUNICIPALITY No. OF POPULATION I N THE OVERCROWDING % RELATIVE TO % RELATIVE OVERCROWDED OVERCROWDED CUARTOS INDEX PERSONS/ POPULATION IN TO TOTAL CUARTO-REDON REDONDOS(+2 PER-- ROOM OVERCROWDED POPULATION. DO DWELLINGS SONS/ROOM) DWELLINGS No. % STATE TOTAL

ARMERIA 1,497 7,264 6.5 4.8 41.2 33.6 COLIMA 5,347 25,888 23.3 4.8 35.8 26.0 COMALA 1,234 6,434 5.8 5.2 48.6 40.7 COQUIMATLAN 1,224 6,352 5.7 5.2 53.1 45.6 CUAUHTEMOC 1,226 6,399 5.8 5.2 35.5 29.1 IXTLAHUACAN 313 1,722 1.5 5.5. 42.0 32,4 MANZANILLO 4,940 23,303 20.9 4.7 41.4 32.4 MINATITLAN 487 2 ,515 2.3 5.2 47.3 37.2 TECOMAN 4,822 24,810 22.3 5.1 44.9 37.3 VILLA DE ALVAREZ 1,265 6,546 5.9 5.2 41.0 33.7

TOTAL OF STATE 22,355 111,233 100.0 5.0 41.2 32.5 .1-

DATA SOURCE: CENSUSX - 1980 The population occuppying the overcrowded CUARTOS REDON

DOS is by far the single largest group wi'thin the total number of people living in overcrowded dwellings. They also have the highest overcrowding index. As can be seen in the data,.there are differences between the mu- nicipalities concerning the % of people in these dwe-- llings and their degree o-f overcrowding. The different municipalities vary in their mean index-value between

4.7 persons per room CManzanillo) and 5.5 persons per room (Ixtlahuacan) and between 26% (Colima and 45.6% (Coquimatlan) as to the percentage-population living in o.vercrowded CUARTOS REDONDOS.

In any case, one must conclude that the CUARTOS REDONDOS have the most critical case of unsatisfied need of extra space, and that within the total deficit of rooms theirs is the most urgent need.

Nevertheless one has to point to a slight trend of rela tive improvement in the overcrowding situation, in view of the fact that in 1960 the percentage of overcrowded dwellings above 1.5 persons per room was as high as 82.7% of the total stock. while in 1980, 20 years later it des- cended to 70.9% a improvement of 11.8% although the impro ve.ment was not uniform w.ithin the state, and varied greatly

77 between the municipalities.

The improvement that has taken place over time in the overcrowding situation is also reflected i n the overall mean overcrowding indexes of the state, which have shown a consistent trend downward, as foll ows:

YEAR POPULATION No. DWELLINGS No. ROOMS No .PER- SONS/ROOM

1960 164,450 30,949 47,419 3.47 1970 241,153 41,840 75,411 3.20 1980 339,202 64,848 132,443 2.56

The improvement can be explained by the fact that the growth of the number of rooms has been more rapid than population growth, as today there are more rooms per thousand people.than there were 20 years ago, and the dwellings in general have also grown in size, as can be gathered from the following size means:

YEARS No. OF ROOMS No. OF ROOMS PER THOUSAND PER DWELLINGS. PEOPLE.

1960 286.7 1.5

1970 312.7 1.8

1980 408.2 2.0

Fortunately in the particular cl ass of the cuartos redondos progress has been more rapid, as the percentage of this type of dwellings which in 1960 was as high as

F. 78 70% of the total housing-stock descended to 38.3% in

1980, a reduction of 31.8% in 20 years, although in absolute numbers there was still growth from 21,514 units to 24,603 units.

The building of slightly larger new dwellings, but specially the addition of rooms to the existing dwellings can be seen as the factors responsible for the lowering of the overcrowding indexes, which are still critically high. Although there has been advan- cement there is still much to be done in this respect.

The deficit of rooms in the state as a whole that is, the number of rooms missing and necessary to erradi cate overcrowding and to bring i t down to a tolerable level of 1.5 persons por room in the presently overcrowded dwellings, amounts to a tot al of 100 ,306 rooms to be added to the dwellings now considered overcrowded (45,500 dwellings), a mean addition of 2 rooms per dwelling.

Relative to the total existing stock of 131,080 rooms, the 100,306 rooms missing represent a increase of

76.5% but in relation to the 80,039 rooms now in onvercrowded posi tion that would consti tute a increase of 125.3%. According to the present si ze of the over- crowded dwellings, the deficit of rooms is distributed in the following way:

79 TABLE No. 9 .

DEFICITOF ROOMS IN OVERCROWDEDDWELLINGS (MORE THAN 1.5PERSONS/ROOM)IN THE STATEOF COLIMA - 1980.

PRESENTSIZE No. OF OVERCROW No. OF ROOMS No. OF PERSONSPER No. OF DEFICITOF OF DWELLING DED DWELLINGS IN OVERCROW- OVERCROWDED ROOM ROOMS FOOMS DED DWELLINGS DWELLERS NEEDED ( a) ( b) (c) Cdec/b) c/1.50 ( a=c-b)

I ROOM 22,355 49.1% 22,355 111,233 4.98 74,155 51,800

2 ROOMS 14,799 32.5% 29,598 96,434 3.26 64,290 34,692

3 ROOMS 6,291 13.8% 18,873 44,827 2.38 29,885 11,012

4 ROOMS 1,622 3.6% 6,488 13,354 2.06 8,903 2,415

5 ROOMS 483 1.1% 2,415 4,202 1.74 2,802 387

T 0 T A L 45,550 100.0% 79,729 270,050 3.39 180,035 100.306 The distribution of the defi ci t within the state, among the different municipalities is summarized in

the following table

DEFICIT OF ROOMS IN OVERCROWDED DWELLINGS IN THE STATE OF COLIMA BY MUNICIPALITIES - 1980.

MUNICIPALITY TOTAL OF No. OF DEFICIT OF DEFICIT PER % DIS ROOMS NEEDED ROOMS ROOMS THOUSAND TRIBIT AVAILA PEOPLE TI ONOF 'BLE ~ DEFICIT

a=POP/1.5 (b) (c=a-b) ( d=c/POP) (e)

ARMERIA 11,757 5,077 6,680 306 6.7%

COLIMA 48,208 23,157 25,051 249 25.0%

COMALA 8,832 3,562 5,270 333 5.3%

COQUIMATLAN 7,979: 3,100 4,879 350- 4.9%

CUAUHTEMOC 12,011 5,335 6,679 294 6.7% IXTLAHUACAN 2,732 1,076 1,656 346 1.7%

MANZANILLO 37,526 17,016 20,510 280 20.4%

MINATITLAN 3,543 1,464 2,079 302 2.1%

TECOMAN- 36,800 15 , 343 21,457 320 21.4%

VILLA DE ALVAREZ 10,648 4,639 6,009 308 6.0%

TOTAL OF STATE 180,033 79,729 100.304 290 100.0%

As solutions to the defi cit of rooms there are such alter

natives as the constructio n of additional rooms in the

existing dwellings, the building of new larger

dwellings with more rooms and the internal movement

81 of people to better match househol d needs with dwelling

_size, Neverthe less in our spe cific case, movement of

population from overcrowded dw lings to the unde r-

occupied dwelli ngs, could in t he best of sit uati ons

only achieve a slight reductio n in the overall deficit

as there are on ly a total of 51,041 rooms, 38.9% of

the total rooms -stock in the uncrowded dwellings (17,

337 in number, 27% of the tota 1 stock) that are

occuppied by 51 ,117 persons (15.1% of the total popu-

lation), with a me.an index of 1 person per room. In

the hypothetica 1 situation tha t a occuppancy index of

1.5 persons per room were achi eved in these dwellings,

it would mean the freeing of 16,963, rooms (51,041 -

51,117/1.5 = 16,963) which onl y represent 16.9% of the total room deficit. In re ality the number of

rooms that coul d be freed as a result of a better

match between households and dwellings is much smaller

than this numbe r, and for that reason it is

fundamentally sound to say tha t the only feasible

alternative to erradicate the rooms-deficit in the state of Col ima is by building those 100,306 rooms missing.

82 b) DWELLING IMPROVEMENT NEEDS

From the standpoint of their deficiencies, the dwellings

can be c lassified into 3 mutually exclusive groups:

- Not requiring repairs

- Rep arab le

.Irreparable

From these 3 gr oups the second and the third constitute

the housin g def icit at a given moment, but only the

second gro up of the reparable dwellings, is the subject

matter of this chapter.

From the 1980 census data it is possible to infer many

of the most important dwelling-deficiencies that don't

require total substitution of the d.wellings, but only their repair and improvement. The most important

dwellings subsystems and vital features or components

missing in the dwellings are listed by type, and their

number and percentage relative to the total state

dwelling-stock are summarized in the next table:

83 DWELLING IMPROVEMENT-NEEDS IN THE STATE OF COLIMA 1980.

TYPE OF DEFICIENCY No. 0F % RELATIVE CORRESPONDING DWELLINGS TO TOTAL NATIONAL % STOCK

1. LACKING WATER IN 9,593 14.8 16.3 THE STREET

2. LACKING WATER 19,583 30..5 28.8 INSIDE THE DWELLINGS

3. LACKING SEWERS 25,911 40.3 50.8

4. LACKING ELECTRICITY, 10.073 15.7 25,8

5. LACKING BATHROOMS 17,653 27.5 INFORMATION UNVAILABLE YET 6. LACKING RUNNING WATER IN BATHROOMS 15 ,654 24.4 "I

7. LACKING KITCHENS 11,331 17.6 "I

8. KITCHENS USED AS 8,117 12.6 BEDROOMS

9. LACKING PAVED-FLOORS 20,659 32.1 25.4

10. LACKING ADEQUATE 45,390 70.6 54.9 MATERIALS IN ROOFS

Although each of the listed dwelling-defi ciencies taken

by itself can be considered reparable, as part of the

dwellings in which they are located there are some that are. not reparable for reason of their dwellings overal 1

inadequacy, requiring total demolition and substitution.

84 These dwellings sho uld really be substracted from them, but-.this can not be ,done. for every deficiency, with the exception of floor and roof deficiencies (headin g 9 and

10) which are correlated in the 1980 census with the data on the dwelling-wall materials, in a triple crossed table. Ba sed on the criterion that inadequate wall materials require total substitution of the dwel ling possessing them, it is possible on the basis of that table, to distinguish the irreparable dwellings from the re.parable ones. The number of reparable dwellin gs with unpaved floors and inadequate materials in roofs , thus goes down greatly, producing the following corrected results: No.

9. Reparable Dwellings Lacking 5,480 8.5 Paved-floors

10. Reparable Dwellings Lacking 20,400 31.7 Adequate Materials in Roofs

One would expect the lack of running water and sewers to be. highly correlated with the lack of bathrooms and of piping in them. It would seem almost self-evident that the introduction of running water and sewers in an

are.a by the authorities or neighbors, should automatically

activate the dwelling-owners to build and equip their bathrooms and to introduce interior piping. Nevertheless

this is only true to a limited extent as there are many

85 households that will nQt take the next lQgical step for lack of means of for other reasons. These households constitute a specific need subcategory which can be indi rectly i denti fied in the census as having outside running water but lacking it inside their dwelling.. The number of dwellings in this situation subclassified according to their availability of sewers is as follows according to the 1980 census-data:

Dwellings with Water Outside No. % but not Inside

T 0 T A L 9!,499 14.8

- With Sewers 3,948 6.2 - Without Sewers 5,551 8.6

Nevertheless, the bathroom-deficit figures are substan- tially hi ghe r: No. % Dwellings with Bathroom Deficiencies

T 0 T A L 33,307 51.8

-Totally without Bathrooms 17,653 27.5 -With Bathrooms but Lacking Running Water in 15,654 24.3 them.

It is therefore clear that it is not enough to introduce water and sewers to an area to automatically induce the

86 dissapearence of the bathroom deficit, but th at there are additional links in the inducement-chain which have to be filled-in, if the full benefit of these measures is to be achievied.

The 1980 census offers be tter opportunities for improved housing-needs-assessments by providing two triple crossed tables, one relating wate r, sewers and electricity in the dwellings and another relating floor, roof and wall materials. These tables allow for a subclassification of the dwellings accordin g to the simultaneous number of deficiencies in them. From each table it i's possible to obtain 8 mutually excl usi ve need-subcategories considering that 3 variab les with only 2 possible values

(with deficiency, without deficiency) produce a total of 23 combinations. Summari zing the table on water, sewers and electrici ty we obtai n the following results:

87 TABLE No. 10

DWELLINGS LACKING SIMULTANEOUSLY WATERSEWERS AND ELECTRICITY IN COLIMA - 1980. No. OF No. OF % DWELLINGS PEOPLE DWELLINGS IN NO NEED OF IMPROVEMENT. TOTAL_ 30,343 47.2 157,887 46.1

NO DEFICIENCIES

1. H.AVING WATER. SEWERSAND ELECTRICITY 30,343 47.2 157,887 46.1

DWELLINGS IN NEED OF IMPROVEMENT TOTAL" 33,927 52.8 343,258 100.0

ONE DEFICIENCY ONLY SUBTOTAL 17 ,300 26.9 95,462 27.9

2. LACKING WATER ONLY 6,018 9.4 31,299 9.1

3. LACKING SEWERS ONLY 10,389 16.2 59,901 17.5

4. LACKING ELECTRICITY ONLY 893 1.4 4,262 1.2

TWO DEFICIENCIES ONLY SUBTOTAL 10,719 16.7 50,051 17.0

5. LACKING WATER AND SEWERS ONLY- 7,147 11.1 39,570 11.6

6. LACKING WATER AND ELECTRICITY ONLY 847 1.3 3,969 1.2

7. LACKING SEWERSAND ELECTRICITY ONLY 2,725 4.2 14,512 4.2

THREE DEFICIENCIES SUBTOTAL 5 ,900 9.2 30,050 8.9

8. LACKING WATER, SEWERS AND ELECTRICITY 5,608 8.7 29,041 8.5

UNSPECIFIED 300 0.5 1,017 0.3

T 0 T A L 64,270 100.0 343,258 100.0 A D E Q U A FLOORS,ROOFS 6886 WALLS 26.3 0 /o

H A V E 30 343 WATERSEWERS ANO ELECTRICITY 47. 20/o One can see from the table that only 47.2% of the dwellings have wate r (inside the dwellings), sewers and electricity, and as for the rest, 9.2% lack completely the 3 utilities, 16 .7% lack two of them and 26.9% 1ack one of them. These dwellings requ iring some kind o f improvements as far as water, sewe rs and ele ctrici ty is concerned total 52. 8% of the total dwellings stock.

Concerning th e data on the materia ls used on the dwelling floors, roofs and walls, by gradin g them as acceptable or unacceptab le it is similarly possibly to obtain 8 needs-subcate gor ies indicating the type a nd number of defi ciencies. In addition it is possible to aggregate the results into 3 categories indi cati ng the dwellings potential for im provement or demol ition b ase d on the fundamen ta1 assumption that defici ent walls make. a dwelling irreparable.

90 TABLE No. 11

DWELLINGS LACKING SIMULTANEOUSLY ADEQUATE MATERIALS IN FLOORS, ROOFS AND WALLS IN COLIMA - 1980. No. OF % No. OF DWELLINGS PEOPLE

DWELLINGS IN NO NEED OF IMPROVEMENT 16 ,886 26.3 86,017 25.1

N4o DEFICIENCIES 26.3 1. PAVED FLOORS AND ACCEPTABLEMATE- 16 ,886 86,017 25.1 RIALS IN ROOFS AND WALLS IMPROVABLE DWELLINGS. TOTAL 21,069 32,8 114,543 33.5

ONE DEFICIENCY ONLY 2. UNPAVED FLOORS AND ACCEPTABLE MATERIALS IN ROOFS AND WALLS 669 1,0 3,918 1.1 3. PAVED FLOORS AND UNACEPTABLE MATERIALS IN ROOFS AND ACCEPTABLE IN WALLS 15,589 24.3 82,875 24.2 TWO DEFICIENCIES ONLY 4. UNPAVED FLOORS AND UNACCEPTABLE MATERIALS IN ROOFS AND ACCEPTABLE IN WALLS 4,811 7.5 27,750 8.1 INIMPROVABLE DWELLINGS. TOTAL 26,315 40.9 141,690 41.4 ONE DEFICIENCY ONLY 5. PAVED FLOORS ACCEPTABLEMATERIALS 1 ,094 1.7 5,725 1.7 IN ROOFS AND UNACCEPTABLEIN WALLS

TWO DEFICIENCIES ONLY 6. PAVED FLOORS, UNACCEPTABLE MATERIALS 10 042 15.6 51 ,580 15.1 IN ROOFS AND WALLS 7. UNPAVED FLOORS, ACCEPTABLE MATERIALS 231 0.4 1,270 0.4 IN ROOFS AND UNACCEPTABLEIN WALLS THREE DEFICIENCIES 8. UNPAVED FLOORS, UNACCEPTABLE MATERIALS 14,948 23.13 83,123 24.3 IN ROOFS AND WALLS T 0 T A L 64,270 100.0 342,258 100.0 From the s tandpoint of the materiales present in floors, roofs and walls, only 26.3% of the dwell ing-stock has adequate materia ls in all the 3 components , 32.8% can be improved by the use of more adquate materials. in floo r s and roof s while 40 .9% is completely irreparabl e requ i ring total su bst i tution fo r reason of its inadequate wall- material s . Of the improvab le dwellings, the majority of them (24.3% of the tota 1 stock) only lacks adequate material s in their roof , while t he second largest group

(-7.5%) 1acks adequate materi al s in floors and roofs. it shoul d be remarked that the 1ack of paved floors is very hig hly correl ated wi th 1 ack of adequate materials in the roofs, as 95.6% of all the dwellings lacking paved fl oors (20,659), also lack adequate roof materials (19,759) although the converse in not true. Unpaved floors are thus symptomatic of i nadequate roofs in Coli- ma, and the presence of such flo ors in dwellings having adequate roofs is a rare occurrence.

Going back to the past decades one can appreciate a improvement in the situation, as the number of deficient dwellings in the different categories shows a clear trend of reduction.

Although some deficiencies h ave been diminishing at a faster pace than others, all show significant improve- ments, as the series of cens us figures since 1970 proves. REPARABLE DWELLING-DEFICIENCIES TREND SINCE 1960 IN COLIMA.

TYPE OF DWELLING DEFICIENCY 1 9 6 0 1 9 7 0 1 9 8 0

No. % No. % No. %i

1. LACKING WATER IN THE STREET 18,115 58.5 9,293 22.2 9,538 14.8

2. LACKING WATER INSIDE THE 19,808 64.0 18,851 45.0 19,583 30.5 DWELLING

3. LACKING SEWERS 20,970 67.8 24,324 58.1 25,911 40.3

4. LACKING ELECTRICITY 17,369 41.5 10.073 15.7 5. LACKING BATHROOMS WITH 22,627 73.1 23,218 55.5 33,307 51.8 RUNNING WATER (LACKING BATHROOMS + LACKING RUNNING WATER IN BATHROOMS)

6. LACKING INDEPENDENT NOT INCLUDED 11, 338 27.1 19,448 30.3 KITCHENS (LACKING YET IN 1960 KITCHENS + KITCHENS USED CENSUS AS BEDROOMS)

7. LACKING PAVED-FLOORS i " 21,690 51.8 20,659 32.1

8. LACKING ADEQUATE " " 35,217 84.2 45,390 70.6 MATERIALS IN ROOFS

The most important visible trends since 1960 can be

summarized in the following points :

- Although there as been major advancement in introducing

water utilities a ample gap persists between the availa- bi 1i ty of water in the outside of the dwellings and their

inside (14.8% in the outside vs 30.5% in the inside)

- Nothwithstanding the relative improvement in the number

of dwellings lacking bathrooms with running water, which

93 went down from 73.1% in 1960 to 51,8% in 1980 there has

been a significant growth in the absolu te number of these defi cient dwellings that are not taking advantage to a

large extent of the water utilities available and to a

l esse r extent of the sewers, which are still a mayor

obsta cle in this respect, as 40.3% of the dwellings

still lack sewers in their vicinity

- Likewise the reduction in the defici t due to a 1ack of

adequate materials in the roofs has only taken pl ace in the percentages of these dwellings ( from 84.2 to 70%),

but not in their absolute numbers, which have increased

from 35 ,217 to 45,390.

- Contrary to the general trend there has even been a slight increase in absolute and relative numbers in

the ki.tchen-defi cit, which includes the dwellings totally

lacking kitchens as well as those doubling their

kitchens as bedr ooms. Considering that only sinc e 1980

the information distinguishes between these two subgroups

it i s even possi ble 'that the deficit of the first

subgroup (total lack of kitchens) may have in fac t

diminished, but that can not be ascertained due to the

lack of previous data.

The distribution of the unsatisfied needs due. to the presence of reparable dwelling-deficiencies in the

94 different municipali.tie.s of the state for the year 1980, has been concentrated in table No. 8, to which a comprehensive deficit-grading scale was added at the end to summarize in one index-number the overall defi ci t situation in each municipality. The overall defic it- index for each municipality was obtained by. simple addit ion of the different deficit percentages, wi thout any rel ati ve weigthing of the deficiencies.

95 DrITBO LLIv. D C C DISTRIBUTIONOF DWELLINGDEFICIENCIES

TYPEOF DWELLING-DEFICIENCY M U N I C I P A L I T Y

ARMERIACOLIMA COMALACOUIVATLAN CUAUHTEMOCIXTLAHUACAN MANZANILLOMINATTLAN TECOMANVILLA DE T 0 T A L ALVAREZ

No. OF DWELLINGS 4,011 19:,434 2,860 2,523 3,927 828 3,844 1,264 11,792 3,529 64,270 100 100 100 100 100 100 100 100 100 100 100

WITHOUTWATER IN THE ST.

No. 522 2,215 592 348 410 244 2,524 311 1,231 1,141 9,538 13.0 11.4 20.7 13.8 10.7 29,5 17.8 24.6 10.4 32.3 14.8 WITHOUT RUNNINGWATER INSIDE THE DWELLING No. 1,280 4,085 993 687 825 358 5,792 503 3,534 1,526 19,583 31.9 21.0 44.0 27.2 21.6 43.2 40.8 39.8 30.0 43.2 30.5

WITHOUTSEWERS

No. 2,992 5,443 1,752 1,577 1,437 640 6,360 720 5,578 1,447 25,911 74.6 17.6 61.9 53.7 37.5 77.3 44.8 57.0 47.4 .41.0 40.3 WITHOUTELECTRICITY No. 1,000 1,961 881 556 441 355 1,777 478 2,081 543 10,073 24:9 10.1 30.8 22.0 11.5 42.9 12.5 37.8 17.6 15.4 15.7 WITHOUT A BATHROOM No. 1,330 3,474 1,329 1,146 1,164 466 3,921 606 3,250 967 17,653 33.2 17.9 46.5 45.4 30.4 56.3 27.6 47.9 27.6 27.4 27.5 WITHOUT RUNNINGWATER IN THEBATHROOM No. 1,230 3,152 708 619 819 234 3,666 217 3,750 1,259 15,654 30.7 16.2 24.8 24.5 21.4 28.3 25.8 17.2 31.8 35.7 24.4 WITHOUTA KITCHEN No. 807 2,919 553 487 568 176 2,683 183 2,357 598 11,331 20.1 15.0 19.3 19.3 14.8 21.3 18.9 14.5 20.0 16.9 17.6 WITHA KITCHENUSED AS A BEDROOM No. 601 1,810 337 318 '314 89 2,164 123 1,910 451 8,117 15.0 9.3 11.8 12.6 8.2 10.7 15.2 9.7 16.2 12.8 12.6 WITH UNPAVED FLOORS No. 1,857 3,497 1,345 1,272 1,193 619 3,844 581 5,249 1,202 20,659 46.3 18.0 47.0 50.4 31.2 74.8 27.1 46.0 44.5 34.1 32.! WITHOUTCONCRETE ROOFS

No. 3,490 11,273 2,583 2,272 2,872 801 8,441 762 10,303 2,593 45,390 87.0 58.0 90.3 90.1 75.0 96.1 59.4 60.3 87.4 73.5 70.6

NEEDSINDEX 479.9 254.4 535.7 476.3 345.5 654.5 357.1 477 422.1 429 367.8 As was done for the state as a whole i t is also necessary for-eaa..ch municipality to correct the f igures on the number

of dwellings lacking paved floors and adequate roof

materials, so as to exclude those that merit demolition

because of their inadequate wal.ls 0nce subtracting

these dwellings, the corrected fi gures for lines 9 and 10

are as follows:

REPARABLE DWELLINGS LACKING PAVED FLOORS AND ADEQUATE ROOF-MATERIALES IN COLIMA BY MUNICIPALITIES 1980.

MUNICIPALITY LACKING PAVED FLOORS LACKING ADEQUATE ROOF MATERIALES No.. No. % ARMERIA 395 9.8 1,539 38.

COLIMA 1,007 5.2 5,102 26.

COMALA, 242 8.5 617 21.

COQUIMATLAN 294 11..7 830 32.

CUAUHTEMOC 338 8.8 1,000 26.

IXTLAHUACAN 132 15.9 263 31.

MANZANILLO 1,240 8.7 4,559 32. MINATITLAN 105 8.3 239 18.

TECOMAN 1,343 11.4 5,213 11.

VILLA DE ALVAREZ 384 10.9 1,036 29.

TOTAL OF STATE 5 480 8.5 20,398 31.7

97 Comp ari n g the data o f the di ffere.n t muni ci p al ities one

can see that there are great contrasts in their degree

of dwelling-deficiency. Some municipalities like Ixtla huacan, Comala and Armeria stand out by thei.r high

deficit-percentage, while others like Colima, Cuauhte-

moc and Manzanillo show a much better situation, This

is of course due to their different degree of develop-

ment and urbanization.

The composite deficit-index gives a global idea of the

deficit-situation in the municipalities making it possible to order them on a quantitative scale from worst to best, as follows;

DEFICIT OF THE MUNICIPALITIES IN THE STATE QF COLIMA-1980

MUNICIPALITY DEFICIT INDEX

1. IXT.LAHUACAN 654 2. COMALA 536 3. ARMERIA 479 4. MINATITLAN 477 5. COQUIMATLAN 476 6. VILLA DE ALVAREZ 429 7. TECOMAN 422 8. MANZANILLO 357 9. CUAUHTEMOC 345 10. COLIMA 254

STATE MEAN DEFICIT-INDEX 368

98 The municipalities of Manzanillo, Cuauhtemoc and Colima are below the state mean index indicating their above average situation while the rest of the municipalities are in worse condition than the state as a whole.

The deficit values due to reparable housin g-deficiencies from 1960 to 1980 have. been summari zed in table No. 9, and from i t one can discern the recent his tori cal trends of these needs.

99 iAisn.E No. 13

REPARA13LEDWELLIhIG-DEFICIENCIE-> TRENDIN THESTATE OF COLIMA B1 MUNICIPALITIESFROM1960 TO 198C

M U N I C I P A L I T Y T ( T A L %1MEIERIA COL1MA COMALA COQUIMATLAN CUAUKTEMOC IXTLAHUACANMANZAILLO IMitATITLANTECOMAN VILLA DE AZ:E2

CF * 0.ELLI:LACK!G 815 (66.3) 1.3.115 (2 2,9?l2 (30.91) 2,000(86.0%) 1,3S)(82.4%) 2,063(82.7-) 726 (90.4%) 4,565 (57.3%) 512 (98 7- 3,102(72.04) -S 631 3,2-3 (22.2 Q;- (24.67) 1,693 (13.8t) 535 (25.1%) 499 (26.2) 710 (24.8-) 478 (60.3.) 2.692 (24.4%)448 (59.5- 1,521(19,5-) (32.1:) 343 (13.8%) 410 (10.7%) 244 (29.5.) 1,141 (32.3) 9,533 (1'- 0 522(13.04) 2,215 (11.4S) 592 (20.7%) 2,524 (17.8%) 311 (24.6% 1,Z31(10.4)

6 L 3 (100.043,270 Q76.1M 863 (70.2%) 19,80 3,007 (40.31) 2,039 (87.7%) 1,389 (84.8%) 2,120(85.01) 739 (92.0%) 4.974 (62.4%) 519 18,851 1,354 (40.5%) 3.700 (30.1) 1,229 (57.7%) 993 (52.1% 1,563 (54.5%) 627 (79.1%) 4,277 (49.91) 503 (77.4% 3,543445.5% 1,982 (50.01) 1,501 (42.5:)4 19,53 (33.5.: 1.205 (30.0t) 3,974 (20.54 902 (34.3%) 670 (26.9% 799 (20.8t) 361 (42.4%) 5,610 (39.51) 497 (39.3- 3,441(29.1%)

20.,97J -7.8eI 3,765 (39.0%) 2,158 (92.81) 1,573 (95.0%) 2.21? (88.8) 769 (95.84) 5,260 (66.01) 506 (97.5% 3,597 83.5%) 1,125 (91.5'.)2 iOFP3 2,040 (711-)%' 3,428 27.94} 1,792 (84.20 1,610 (84.5%) 2,042 (71.21) 757 (95.5%) 4,908(57.4%) 705 (93.6% 5,525 72,21 1,417 P .1 la 2.t2 (74.6t) 3,408(17.51) 1.752 (61.3%) 1,577 (62.5%) 1,437 (37.5t) 640 (77.31) 6,630 (44.8+.)720 (57.0% 5,578.47:31 1,447 .

3,771 (48.4%) 938 (47.7.) 17:..9 1.51 1 0 1, Li (4.9) 3,056(24.9%) 1,358(63.8%) 1,053(55.2) 1,210(42.2-) 678 (85.5%) 3,224 (37.7) 718 (95.4; 2,081 17.61 543 (15.41 1~ . 1,961 (10.1) 881 (30.8) 556 (22.01) 441 (11.5%) 355 (42.9') 1,777 (12.5,) 478 (37.8%

(86.5%) 1.153 (93.84 23.63 (5. '..CF E..ELLW5 LAC 4,961(51.4%) 2,173(93,4%) 1.581(.91.8-) 2,292- (91.81) 777 (96.81) 5,447 (681) 506 (97.5% 3,727 1,326(67.4) 1,7;0(63.1%) 4,321(35.2%) 1,683(79.1%) 1,527(80.1%) 1,920(66.91) 703 (38.7%) 4,652(54.4%) 686 (91.1% 4,640 (59.6% 2.226(63.1, C.; r LLI5 LAC'%. 2,S60 (63.8",)6,626 (32.1.) 2,102(73.5-2 1,765(70.0%) 1,983(51.8%) 700 (84.5%) 7,587(54.4%) 823 (65.1' 7,000(59.4-4 13 811 (29.1) 2,393 (19.5%j 551 (25.9% 500 (26.2%) 633 (22.1% 288 (28.8".) 2,681 (31.3% 301 (40.09 2,744(35.2%1 496 (25.21) 11,388 (27.1 19.448(30.3 1,408 35.11) 4,72 (24.3% 890 31.3% 805 (31.91) 882 (23.0% 265 (32.0%) 4,847 34.1% 306 24.2% 4,267 (36.2) 1,049(29.7%)

21,690 (5111 2,713 (65.5,) 3,628 (29.5%) 1,422(66.8%) 1,362(71.5%) 1,768(61.6%) 717 (90.4%) 4,358(50.9%) 688 (91l. 4,b33 (62.7%) 1,037 (52.7) 1. 3 1,I.57(46.3.) 3.497 (18.0%) 1,345 (47.0%) 1,2/2(50.4.) 1,193(31.2%) 619 (74.81) 3,844(27.1%) 581 (27.1% 5,249 (44.5%) 1,202(34.1) 35,217 (-4.2' 2,4.3 (88.2-) 2,576 (79.0t) 2,060(96.81) 1,838(96.4-.) 2,515(87.7%) 780 720 (95.6%7,066 (90.711 1,785 (081 (98.41 6,278 (73.41) 2,593 -73.5. 5-3i70 6' 340(s7.[!, 11,273 (53.0', 2,583190.30) S2722,7 1901)1) 2872287 (75.0)7.1 8010 (9. 8,441(59.4t) .4 762 (60.31 10,303 87.4% Tw o fundamental question arise when analysing the tren ds in this matter; a) Has there been progress and improvement in the

muni cipalities, and is it evident in the relative

and absolute number-reduction of their deficient

dwel lings? b) Has the gap between municipalities been closing

in this respect, tending to reduce regional in equal ities?

The. answer to these question s, varies with. the different type s of deficiencies. For some the answers are very enco uraging, for other less so.

As t o the introduction of wa ter utilities outside of the dwellings, there has bee n remarkable progress in each municpality on the one side, and a impressive reduction of the gap between municipa lities on the other, in such a way that th.e great differences between the more devoloped muni cipalities like Colima and the less developed like Ixtl ahuacan have narrowed. The greatest percentage reduction in the number of dwellings lacking the utili ty took place in the municipal ity of Minatitlan from

98.7% to 24.6%, whi le the smallest percentage reduction belongs to the muni cipality of Colima which progressed from 30.9% in 1960 to 11.4% in 1980. The wide range

101 be.tween the deficit values of the municipalities which varied from a maxim um values of 98.7% for Minati tlan to a minimum of 30.9% fo r Colima (range=67.0%), was enormously reduced t o a range of 21.6%, between a maximum of 32.3% fo r Villa de Alvarez to a minimum of 10 .7% for

Cuauhtemoc.

Progress has been similar for the deficit of w-ater in the interior of the dwellings, which advanced on both counts. The highest percentag e reduction took place in

Minatitlan from 100.0% to 39.3 % and the smallest in

Colima from 40.3% to 20.5%,.wh ile the range was reduced from 59.7% in 1960 to 22.0% i n 1980.

The sewers-deficit in general also registered percentage reductions in every municipali ty with the exception of

Arme.ria and as for the. variati on-range it did not decrease at all, indicating that the pu blic policies in this area were less successful than is t he case with the water deficit. In a more marked way the electricity deficit registered very substantial pr ogress in each municipality, but without reduction of the r ange

For some deficit-types s uch as lack of bathrooms with

running water and inadeq uate materials in the roofs,

there was some progress in almost every municipalitie with

the exception of Armeria , but the range even grew greater between 1960 and 1980.

102 Finally, as for the lack of independent kitchens the deficit has even grown slightly in that period in every municipality, with the striking exception of Minatitlan, while the variation range- as shown a slight reduction.

From the standpoint of the number of dwellings affected by the deficiencies, and in no way as a judgement-value on their relative importance and priority, the different reparable deficiencies stand in the following order in

1980.

TYPE OF REPARABLE DEFICIENCY % OF DWELLINGS AFFECTED IN THE STATE.

DWELLINGS LACKING:

1. BATHROOMS 51.9%

2. SEWERS 40.3%

3. ADEQUATE ROOF MATERIALS 31.7%

4. WATER INSIDE 30.5%

5. KITCHENS 30.2

6. ELECTRICITY 15,7%

7. WATER OUTSIDE. 12.6% '8 PAVED FLOORS 8,5%

103 c) The housing-defic it due to the dwellings which are unfit for human h abi ta t io n and require demolition and

total substitutio n, can not be determined directly from the census data. This defi cit can only be infered

indirectly as alr eady menti oned, from the data on the

materiales used i n the dwel ling walls, on the assu mption

that non-masonry walls. are practically synonimous wqi th

primitive and uns ecure cons truction posing a serio us

threat to life in areas like Colima exposed to high

seismic, volcanic and hurri cane risk among others.

Although non-maso nry walls construct ion can be associa- ted in many indus trial coun tries wit h excellent building types, t his is not the case in Mexico, were such constru ction represent s general ly the most primitive non-durable type of buil din g used by the peasents in

th.e rural areas. A great majority o f these dwellings

are built of adob e bricks, a mixture made of clay and strow dried in th e sun, and they lac k reinforcement or

bracing, and consequently a re extremely vulnerable to

earthquakes, as was proven in the fa tal Guatemalan and Nicaraguan e arthquakes were the majority of the vict ims was burried underneath such hou ses. Besi des their structural i nsecurity, non- maso nry wall-c ons truction is

also a indir ect indicator of many of the gravest

dwelling def iciencies, that are associate d with this

104 type of buildi ng. In the specific case of Colima of the total numb er of non-.masonry wall dwellings, 95.0% of them also have inadequate materials in their roofs,

57.7% of them contain unpaved floors, and in 56.0% of them there is a simultaneous coincidence of these 3 deficiencies. (See tables and Ven Diagram)

Al tho ugh it would require fie ld-sampling to prove it, it is safe to guess that the dwellings lacking utilities in th e state (8.7% lacking th e 3 utilities, 25.3% lacking two Utilities and 52.0% lacki ng one) belong in their majority, to the category of the non-masonry dwellings.

Indirect evidence on the primitive character of the non- masonry construction can be gathered from thei r greater abundance in the leas t developed municipalitie s, and from their diminishin g relative number as time goes by and development takes pl ace.

In the state there are a total of 26,315 non-masonry-wall dwellings, 40.9% of the total stock that according to the criterion explained consti tute the dwelling deficit requiring total substitution. The distribution of these dwellings in the different mun icipalities, ordered according to the percentage of their total municipal stock considered obsolescent i s the following:

105 DWE.LLINGS REQUIRING TOTAL SUBSTITUTION IN COLIMA BY MUNICIPALITIES - 1980.

MUNICIPALITY No. OF % OF TOTAL % RELATIVE TO DWELLINGS MUNICIPALI STATE DEFICIT TY STOCK

1. COMALA 2,036 71.2% 7.7%

2. IXTLAHUACAN 549 66.3% 2.1%

3. COQUIMATLAN 1,495 59.3% 5.7% 4. CUAUHTEMOC 1,998 52.2% 7.6%

5. ARMERIA 2,006 50.0% 7.6%

6. VILLA DE 1,676 47.5% 6.4% ALVAREZ

7. TECOMAN 5,287 44.8% 20.1%

8. MINATITLAN 529 41.9% 2.0%

9. COLIMA 6,523 33.6% 24.0%

10. MANZANILLO 4,216 29.7% 16.0%

TOTAL OF STATE 26,315 40.9% 100.0%

The situation in the less developed municipalities like

Ixtlahuacan, Armeria and Coquimatlan is evident by the

very high percentages of their housing-stock which need s.ubsti tution. Nevertheless if one looks at the absolutes

numbers of these dwellings the major deficits arelocated

in the larger and more developed municipalities like

Colima, Tecoman and Manzanillo, although their relative

'106 percentage numbers are much lower. Considering the

presence of additional deficiencies like unpaved fl oors

and inadequate roof-materials in these dwellings, the situati on is reflected in the following table;

MULTIPLE DEFI CIENCIES IN THE DWELLINGS REQUIRING SUBSTITUTION IN COLIMA BY MUNICIPALITIES - 1980.

MUNI.CIPALITY ONLY 1 ONLY 2 3 T Q T A L DEFICIENCY DEFICIENCIES DEFICIENCIES INADEQUATE INADEQUATE INADEQUATE WALLS WALLS AND WALLS ROOFS INADEQUATE AND FLOORS ROOFS OR FLOORS

(a) (b') (c) (d)

COMALA 1.9% 31.3% 38.0% 71.2%

IXTLAHUACAN 1.5% 7.1% 58.0% 66.3%

COQUIMATLAN 1.3% 20.0% 38.0% 59.3%

CUAUHTEMOC 1.1% 31.0% 20.1% 52.2%

ARMERIA 1.0% 13.0% 36.0% 50.0%

VILLA DE ALVAREZ 2.7% 22.3% 22.5% 47.5%

TECOMAN 1.1% 11.1% 32.6% 44.8$

MINATITLAN 0.3% 4.1% 37.5% 41.9%

COLIMA. 1.7% 19.2% 12.7% 33.6% MANZANILLO 2.1% 9.6% 18.0% 29.7%

TOTAL OF STATE 1.7% 15.9% 23.3% 40.9%

1,092 10,275 14,948 26,315

107 The data contai ne.d in this table, offers vital informa- tion that allows to establish a priority scale. It is reasonable to assign top priority to those dwellings which are deficient in their 3 material components floors, roofs and walls, s.econd priority to those having

2 deficiencies and least priority to those having 1 de- ficiency.

The numbers in the table confirm the inadequate condi tion of the demolishable dwellings, and even if more stringent deficiency-rules were established for the dwe.lli'ngs to qualify in the category of total demolition and substi- tuti.on such as the presence of 3 simultaneous deficien cies, there would still be as many as 14,948 dwellings in the state, 23.3% of the total that would require total substitution.

Viewed in the perspective of the evolution that took place since 1960, there h as been significant improvement in the percentage number of the dwellings requiring demolition and substituti on. From 72.4% of the total stock in 1960, these dwel ling descended to 40.9% in

1980, which of course i'sstill a very high percentage.

On the other hand, th.ese dwellings grew in numbers by

3,923 units, from 22,392 dwellings in 1960 to 26,315 a growth of 17.5%. Never theless one has to consider

108 that i.n the same period the total dwelling-stock grew

by as much as 33,321 dwellings, an increase of 107.7%

which means that the better dwellings were being built

in a much higher proportion than the completely defi- cient ones, a fact which explains the progress that

was attained in reducing the percentage of demolishable

dwel lings in the last twenty years.

The specific changes that took place in each municipality

in regard to the dwellings requiring total substitution

is summarized in the following table:

TREND OF DWELLINGS REQUIRING TOTAL SUBSTITUTION FROM 1960 TO 1980 IN COLIMA BY MUNICIPALITIES.

MUNICIPALITY No. % No. % No. % CHANGE FROM 1960 TO 1980 No. %

COMALA 2,126 91.4 1,931 90.7 2,036 71.2 -90 -20.2 IXTLAHUACAN 744 92.7 635 80.1 549 66.3 -195 -26.4 COQUIMATLAN 1,504 91.8 1,536 80.6 1,495 52.3 -9 -39.5 CUAUHTEMOC 2,123 85.1 2,113 73.7 1,998 52.2 -125 -32.9 ARMERIA 1,632 58.5 2,006 50.0 374 - 8.5 VILLA DE ALVAREZ 1,178 95.5 1,413 71.9 1,676 47.5 490 -40.4 TECOMAN 2,886 67.0 4,144 53.2 5,287 44.8 2,392 -22.8 MINATITLAN 505 97.3- 688 91.4 529 41.9 24 -55.4 COLIMA 6,042 62.9 6,054 49.3 6,523 33.6 401 -29.3 MANZANILLO 5,303 66.5 3,686 43.1 4,216 29.7 -1,007 -36.0

TOTAL OF STATE 22,392 72.4 18,008 43.0 26,315 40.9 3,923 -31.5

109 A reduction in the percentage number of demolishable

dwellings is evident in every municipality in the twenty

years since 1960 varying from a maximum reduction of

55.4% in Minatitlan to a minimum decrease of 20.2% in

Comala. In some municipalities including Manzanillo

the reduction even took the form of a significant decrease

in the absolute number of these dwellings, while on the

other hand there are some municipalities which show a

disproportionately high growth of them such is the case

of Tecoman which by itself is responsible for 61% of

this growth.

d) In this fourth category of the housing deficit, are

inc 1uded the dwellings needed to house the households

who are presently homeless and 1ive in transient ins tal 1 ations not copsidered pri vate homes, and those

dou bling- up with other household s for lack of their

own pri vate accommodations. Thi s fraction of the

def icit i s sometimes called the quantitative deficit, and is de fined as the arithmetic difference between the numbe r of independent househ 0lds, and the number of exi sti ng dwellings. One-pers 0n households of sin gle pe ople, old or young who want to live indepently

are counted as househol ds, and their needs con si dered

as 1egitimate as of any other househo ld group, although

in a priority order the needs of some of them, may b.e

110 placed far down, as would be the case for young unmarried

singles who wish to live by themselves.

According to the 1980 census, there are in the state of Colima, 1953 people lacking a recognized adress who

live in caves, under bridges, empty sewer pipes and

other similar sites improvised as living quarters who

represent 0.56% of the total state population. These homeless people occuppy 374 sites, with a me.an household

size, very similar to the state mean of 5.22 persons.

According to the census, which includes for the first

time this information, these homeless households are

distributed in the different municipalities in the

following manner:

HOMELESS HOUSEHOLDS IN COLIMA BY MUNICIPALITIES 1980.

MUNICIPALITY No. OF No. OF OF MUNICIPALITY MEAN HOUSEHOLD PEOPLE HOUSEHQL[8 HOUSEHOLDS SIZE

ARMERIA 298 55 1.4% 5.4 COLIMA 476 80 0.4% 6.0 COMALA 45 9 0.3% 5,0 COQUIMATLAN 23 4 0.2% 5.8 CUAUHTEMOC 121 21 0.5% 5.0 IXTLAHUACAN 48 7 0.1% 5.8 MANZANI.LLO 619 122 0.9% 5.1 MINATITLAN 10 1 0.1% 10.0 TECOMAN 329 61 0.5% 5.4 VILLA DE ALVAREZ 79 15 0.4% 5.3 TOTAL OF STATE 1,953 374 0.6% 5.2

ill - Armerias and Manzanillos above average percentages Qf homeless people stand out among the rest of the municipalities, as a symptom of their housing situation and economic problems.

Aside of the homeless households the census also includes some other categories not occupying private dwellings such as households living in mobile homes, hotels, public buildings and institutions (including jails), but there aren't any logi cal arguments to assume th-at their housing-needs require housing different to the one they are presently living in and that they therefore by included in the category of people in need of dwellings, Even if their present acommodations are deficient i t is not likely that private dwellings i's, what they require or demand. According to the 1980 census there were the following number of people in this class:

No. No. PEOPLE UNITS

- Mob ile Homes 2,205 438

- Ins ti tutions 4,035 578 T 0 T A L 6 ,240 .1,016

As for the households doubling-up in other peoples homes the 1980 census eliminated the data that could be used to infer their number, interrupting for the

112 firs t time the long series of data on the matter which

was accumulated from the former censuses. The 1960 and

1970 census did register those household members who

didn't have any family ties to the household head'or who were not his spouses or inmedia'te. descendants.

Thus the doubled-up population infered doesn 't include

the married sons and daugthers who live with their

parents, and as a result the totals are undervalued.

The number of doubled-up individuals can be translated

into households with unsatisfied dwelling needs by

di vi ding the figures by the mean family size, as was done to produce the next table:

HOUSEHOLDS DOUBLING - UP IN COLIMA 1980. 1960 1970 1980 PROJECTION 5.3 P/H 5.8 P/H 5'.3 P/H No. %/ No. No, .%

-DOUBLING UP WITH RELATIVES OTHER THAN SPOUSES OR PARENTS No. INDIVIDUALS 11,788 (7.2%) 12,060 (5.0%) 12,332 (3.6%) No. HOUSEHOLDS 2,224 ( ") 2,073 ( " ) 2,327 C ")

- UNRELATED PEOPLE LIVING WITH OTHER HOUSEHOLDS No. INDIVIDUALS 2,160 (1.3%) 2,372 (1.0%) 2,584 (0.8%) No. HOUSEHOLDS 408 C " ). 401 ( " ) 488 ( " )

T 0 T A L No. INDIVIDUALS 13,948 (8.5%) 14,432 (6.0%) 14,916 (4.4%) No. HOUSEHOLDS 2,632 ( " ) 2,480 ( "1 ) 2,815 ( " )

113 The missing data for 1980 was substituted by a projecti on

A relative reduction iln the percentage of doubled-up households due. to the increa se of dwellings per thousand people can be appreciated in the data. The dominating place that the subgroup with family-ties occupies within the phenomena of doubling-up should also be noted.

The distribution of the people doubling-up is presented in the next-table:

1.14 TABLE No. 14 DISTRIBUTION OF FUTURE VACANCY NEEDS IN THE STATE OF ICOLIMA 1980-2000

MUNICIPALITY %OWNER No, OF VACANT DWELLINGS REQUIRED OCCUPIED RENTAL 1980 - 1990 1980 1990

SALE RENTAL TOTAL SALE RENTAL TOTAL

ARMERIA 68.0% 32.0% 12.1 28.5 40.6 15.9 37.4 53.3 COLIMA 56.8% 43.2% 69.4 264.0 333.4 106.1 404.0 510 COMALA 73.2% 26.8% 7.1 13.0 20.1 7.9 14.4 22.3 COQUIMATLAN 70.2% 29.8% 6.4 13.5 7.1 9.6 20.3 30.0 CUAUHTEMOC 78.4% 21.6% 9.5 13.1 22.6 10.3 14.2 24.5 IXTLAHUACAN 84.3% 15.7% 1,4 1.9 3,3 0.7 0.1 0.8 MANZANILLO 61.0% 39.0% 55.5 177.4 232.9 83.1 265.6 348, 7 MINATI.TLAN 62.7% 37.3% 5.6 16.5 22.1 9.3 27,6 36.9 TECOMAN 64.8% 35.2% 40.4 109,7 150.1 57.9 157.3 215.2 VILLA DE ALVAREZ 64.2% 35.8% 16.8 46.7 63.5 25.8 71.8 97.6

T 0 T A L 63.3 36.7 224 675 899 327 1,013 - 1,333 The disproportionate high number of doubled up people

above the average in Coli.ma (7.7% in 1970) and in Man

zanillo (6.4% in 1970), is. proof of the greater

deficit that characterizes these municipalities in this specific need-category. e) It is unfortunate that the census does not register the

vacant dwellings at all, starting its listings with the one-person occupied dwellings and not with the unoccupied

dwellings. It is therefore not possible from census data

alone to infer the number of missing vacant units. The

best that could be done is to calculate the theoretical

total need of vacant units according to the accepted norms

in this matter, already mentioned in the introductory

part, without subtracting the existing ones.

Choosing the vacancy rates recommended for areas with a

population rate up to 3%, would allow for a conservative

assessment of present vacancy needs, considering that

the states growth is really above this rate. The vacancy

needs recommended for such areas are:

- For Owner-Occupied Units-1% Vacancy Rate. For Rental Units-5.0% to 6.0% Vacancy Rate.

Considering the distribution of owner-occupied and

rental dwellings in the different municipalities, one obtains the following total vacancy needs for the state

in 1980 .

116 TABLE No. 15

VACANCYNEEDS IN COLIMA BY MUNICIPALITIES - 1980.

MUNICIPALITY OWNER OCCUPIED OWNERVACANCIES RENTAL UNITS RENTAL VACANCIES TOTAL UNITS REQUIRED REQUIRED VACANCIES REQUIRED No. %/ No.

ARMERIA 2,728 63.3% 27 710 36.7% 36 63

COLIMA 11,048 56.8% 111 6,409 43.2% 320 431

COMALA 2,094 73,2% 21 344 26.8% 17 38

COQUIMATLAN 1,771 70.2% 18 445 29.8% 22 40

CUAUHTEMOC 3,002 78.4% 30 393 21.6% 20 50 -

IXLTAHUACAN 698 84,3% 7 34 15.7% 2 9

MANZANILLO 8,666 61.0% 87 4,120 39.0% 206 293

MINATITLAN 792 62.7% 8 402 37.3% 20 28

TECQMAN 7,639 64.8 76 2,718 35.2% 136 212

VILLA DE ALVAREZ2,266 64.2% 23 890 35,8% 45 68

TOTAL OF STATE 40,704 63.3% '408 16,465 36,7% 823 1,231 One can see that the total vacancy need for the state

is 1231 units, which is equivalent to 2.2% .of the total stock.

In passing, attention should be called to the unmista-

kable trend of reduction that is taking place in the

percentage of rental dwellings. This trend has a

national character and is due to the loss of attracti-

venness that rental dwellings hav e suffered in the eyes of investors, due largely to the diminishing returns of this type of investment. This trend can be visuali

zed in the following census data:

OWNER OCCUPIED AND RENTAL UNITS IN THE STATE OF COLIMA SINCE - 1960.

1 9 6 0 1 9 7 0 1 9 8 0 No. % No. % No.

- -Rental Units 15,275 50.6% 16,751 40.0% 16,465 36.7%

Owner Units 15,674 49.4% 25 ,081 60 ,% 40,804 63.3%

Within the overall picture of th e housi ng situation in

the country and the state, this can be considered a

unfortunate trend.

1.18 A. ASSESSMENT OF FUTURE HOUSING NEEDS IN THE STATE

OF COLIMA FORM 1980 TO THE YEAR 2000. ASSESSMENT OF FUTURE HOUSING NEEDS IN THE STATE OF COLIMA FROM 1980 TO THE YEAR 2000.

In assessing the future housing needs in the state of Colima the year 2000 was chosen as the horizon. The housing needs that can be expected for the next 18 years were forecasted according to the guidlines laid down in the theoretical introduction on the subject, arriving at the following results; a) Housing Needs due to Population Growth:

The alternative methods by which the population projections

were done for the state of Colima and its municipalities

were explained in the introductory chapter on Colima, The

2 alternative methods used were the population apportion-

ment method and the labor force apportionment method, and

as already explained, it i's this last alternative which

produced the more convincing forecast.

The population increases obtained on the basis of this

forecast are the following:

POPULATION INCREMENTS 1980-2000

1980 Population 346,293 1980-1990 Population Increase + 142,162 1990 Population 488,455 1990-2000 Population Increase + 198,027 . 2000 Population 686.,482

120 Using the 1980 mean household size of 5. 3 members/

household to forecast the dwel ling needs due to

population growth, the followi ng results were obtained:

Dwelling Needs due to Population Growth in Colima.

1980 - 2000

1980-1990 26,823 dwel Ting units 1990-2000 37,364 dwel ling units

T 0 T A L 64,187 dwellin.g units

According to these numbers the dwelling stock of

Colima will have to de doubled in the next 20 year just to cover the population growth factor al one.

The minimum number of rooms needed in these dwellings, so as to prevent overcrowding and not exceed the maximum permissible norm of 1.5 persons would be the following:

ROOMS NEEDE D DUE TO POPULATION GROWTH IN COLIMA

1980 - 2000

YEARS No. OF No. OF DWELLINGS ROOMS

1980-1990 26 ,823 94,774

1990-2000 37,364 132,018

The distribution of the population increases among the different municipalities that determines their corres- ponding dwelling-need due to population growth is as follows: 121 POPULATION FORECAST IN COLIMA BY MUNICIPALITIES 1980-2000

MUNICIPALITY POPULATIOi POPLftATION POPULATION POPULATION POPULATION 1980 INCREASE 1980 INCREASE 2000 1980-1990 1990-2000

ARMERIA 21,597 6,733 28,330 8,053 36,383

COLIMA 99,438 361,840, 136-,278 47,012 183,290

COMALA 15,793 3,790 19,588 3,752 23,340

COQUIMATLAN 13,921 4,640 18,561 5,465 24,026 CUAUHTEMOC 22,007 4,858 26,865 4,713 31,578

IXTLAHUACAN 4,795 888 3,907 - 2,535 1,372 MANZANILLO 71,941 39,426 111,367 57,507 168,874

MINATI TLAN 6,767 3,979 10,746. 5,729 16,475 TECOMAN 66,543 33,101 99,644 47,263 146,907 VILLA DE 19,471 13,743 33,214 21,018 54,232 ALVAREZ TOTAL OF STATE 342,258 146,197 488,455 198,027 686,482

The number of dwellings and rooms ne eded for the different

muni ci pal i ties , according to this forecast and to their

characteristic household size in 1980is summarized in the next table:

122 TABLE No. 16

DWELLING AND ROOM NEED IN COLIMA DUE TO POPULATION GROWTH BY MUNICIPALITIES

1980 - 2000

MUNICIPALITY HOUSEHOLD 1980 - 1990 1990 - 2000 SIZE (1980) No. No. No. No. DWELLINGS ROOMS DWELLINGS ROOMS

ARMERIA 5.4 1,247 4,489 1,491 5,369

COLIMA 5.1 7,244 24,560 9,218 31,341

COMALA 5.5 689 2,527 682 2,501

COQUIMATLAN 5.5 844 3,093 994 3,643

CUAUHTEMOC 5.7 852 3,239 827 3,142

IXTLAHUACAN 5.8 153 592 .0 0 MANZANILLO 5.1 7,731 26,284 11,276 38,338

MINATITLAN 5.3 751 2,653 1~,081 3,819

TECOMAN 5.6 5,911 22,067 8,440 31,509

VILLA DE ALVAREZ 5.5 2,499 9,162 3,821 14,012

TOTAL OF.STATE 5.3 27,584 97,505 37,364 132,018

123 The highes t dwelling and room needs due to population-

growth in the forthcoming 2 decades is located in the

muni ci pal i ties of Manzanillo, Colima and Tecoman, where

more that 75% of the dwelli-ngs needed will have to be built. b) Housing Needs due to Household-Size Reduction.

Household-size reduction originates additional housing

needs, as already, discussed. To make a forecast using

a series of historical data it is necessary to decide

beforehand up to what point to go back in time, before

adjusting a trend line. The projected values can very

significantly depending on that decision, as the

trend-line angle my suffer great modifications. In

our specific case choosing 1960 as a starting point

to forecast household size' would result in a stable

household size of 5.5 membe rs/household for the years

1990 and 2000, larger than the 1980 size of 5.3

-members/household, while starting at 1970 would res ul t

in decreasing household sizes, 4.8 members /household

for.1980 and 4.3 for the year 2000. Consi dering that

the more recent trend shows reducti on of h ousehold

size instead of increase or stabili ty, it reflects

better the overall national trend, and is therefore

more likely to occur, and for this reason it will be

124 used for evaluating the future needs due to household-

si ze ch anges.

Applying these two household values to the specific need

formula ( D2 = P2 - 2), the following additional housing

h 2 hI needs are determined for the two forthcoming decades:

HOUSING NEE DS DUE TO HOUS EHOLD SIZE REDUCTION IN COLIMA FROM 1980 TO 2000.

YEAR DWELLINGS REQUIRED

1980-1990 9 ,600 1990-2000 16,629 T 0 T A L 26,229

In relative terms such a number of dwellings represents

a 40.8% increase above the 1980 stock. This is a very

significant additional load on the already heavy task of erradicating the present deficit and accommodating

popul tion-growth.

The distribution of these dwelling-needs among the

municipalities of the state, has been determined on

the basis of their own specific household-size reduc-

tion forecasts, although in this way, their aggregate

sum comes out a little smaller, than in the global

calculation.

125 TABLE No. 17

I.

HOUSING NEED DUE TO HOUSEHOLD SIZE REDUCTION IN COLIMA BY MUNICIPALITIES * 1980 - 2000.

MUNICIPALITY HOUSEHOLD-SIZE DWELLINGS NEEDED 1970 1980 1990 2000 1980-1990 1990-2000 I ARM4ERIA 5.9 5.4 4.9 4.4 535 844

COLIMA 5.9 5.1 4.3 3.5 4,971 9,743 COMALA 5.9 5.5 5.1 4.7 279 390

COQUIMATLAN 5.6 5.5 5.4 5.3 63 370

CUAUHTEMOC 6.1 5.7 5.3 4.9 356 486

IXTLAHUACAN 6.0 5.8 5.6 5.4 24 9

MANZANILLO 5.4 5.1 4.8 4.5 1,365 2,345

MINATITLAN 5.8 5.3 4.8 4.3 132 399 .1 TECOMAN 5.7 5.6 5.5 5.4 324 495

VILLA DE ALVAREZ 5.6 5.5 5.4 5.3 112 190

.1 TOTAL OF STATE 5.8 5.3 4.8 4.3 8,161 15,271

4f Household-si ze reduction only originates dwelling needs, but no extra room needs in addition to those obtained

on the basis of population growth. Thus the number of

rooms obtained for 1990,and 2000 due to population-growth

will be distributed among the sum of dwellings due to

population growth and household-size reduction, in the

following way:

YEARS No. OF DWELLINGS DUE No. OF MEAN No. OF TO POPULATION GROWTH ROOMS ROOMS/DWELLING AND HOUSEHOLD-SIZE REDUCTION

1980-1990 36,423 94,774 2.60

1990-2000 53,993 132 ,018 2.45

The distribution of the rooms needed amon g the different

municipalities as already been indicated in the previous

bracket.

c) Housing Needs due to Aging-Deterioration of th e Housing-

Stock:

Aging of the housing stock brings.about its sl ow deterioration and obsolescense, and is one of the

factors originating additional housing needs t o be ta ken

into account in any future housing need assess men t.

Choosing the proper deterioration-rate to calc ul ate

this need-bracket is an important decision in such an assessment.

127 In the case of Colima, considering the high percentages of primitive types of construction it would be self- deceiving to adopt such reduced deterioration rates as correspond to a 100 years life span. A dwelling life- span below 50 yearss would undoubtedly be much more in place, although its corresponding higher rates would impose additional burdens on the already heavy needs.

It therefore seems reasonable to adopt a 50 year-life span, which corresponds to a 2% annual replacement rate.

The replacement needs due to aging of the housing-stock calculated on the basis of this rate and the mean housing stock in 1985 and 1995 formerly determined, result in the following figures

HOUSING-NEEDS DUE TO AGING OF THE DWELLING-STOCK IN

COLIMA 1980 - 2000

YEAR ME AN ANNUAL No. REPLACEMENT HOUSING- REPLACEMENT DWELLINGS. STOCK RATE 1980 64,270

1980-1990 82,862 2.0% 16,572 1990-2000 114,658 2.0% 22,931

It is clear that these additional dwelling un i ts are required to replace the obsolete dwellings, but will not a'4d to the dwelling number stock determin ed on the basis of population growth and household- si ze reduction.

,128 The distribution of these dwelling-needs among the

different municipalities is summarized as follows:

HOUSING NEEDS DUE TO AGING OF THE DWELLING-STOCK IN COLIMA BY MUNICIPALITIES 1980 - 2000

MUNICIPALITY TOTAL No. OF DWELLINGS No, REPLACEMENTS DWELLINGS (1980} (1985) (.1995)1 1980-1990 1990-2000 ARMERIA 4,011 4,902 6,149 980 1,229

COLIMA 19,434 25,541 35,021 5,108 7,004

COMALA 2,860 3,344 3,880 668 776

COQUIMATLAN 2,523 2,976 3,658 595 732

CUAUHTEMOC 3,827 4,431 5,087 886 1,017

IXTLAHUACAN 828 917 922 183 185

MANZANILLO 14,202 18,750 25,560 3,750 5,112

MINATI TLAN 1,264 1,705 2 ,445 341 489

TECOMAN 11,792 14,909 19,376 2,981 3,875 VILLA DE 4,835 6,835 967 1,367 ALVAREZ 3,529

-T 0 T A L 64,270 82,862 114,658 16,572 22,931

d) Housin g Needs due to Dwelling Destruction by Acciden tal

and Vo1 un tary Causes:

This need bracket can not be infered by census data, and as already explained requires the existence of

disaster and voluntary demolition statistics. Unfortu-

nately statistics indicating the number of dwellings

that have been destroyed in the past by natural and

human actions are lacking, and the best that one can

129 do is to adopt rates that bel ong to other areas with similar vulnerability, or try to infer such a rate indirectly from a vulnerab ility analysis.

There are no doubts concerning the very high risk characteristics of the state of Colima. It is located in the highest seismic risk zone of the country on the

Pacific fault. Highly destructive eart hquakes of degree

X on the Mercalli scale have occured in the past, and in

the state as a whole as many as 41% of the dwellings have wall-materiales highly vulnerable to ea rthquakes, and in

the less developed municipalities that percentage may be as high as 60% of their total stock.

The state has an active vol cano located at a short distance from Colima City the state capi tal , that can errupt at any time , as it has often done in the past. The sho rt dis tance of Coli ma City wi th its 100,428 resi den ts 29.0% o f the to tal state population and

19,434 dwe llings, 30.2% of the total housing stock to

the vol can o consti tutes a hi gh risk situation,

The state is also located in a hurricane-prone area,

and in a period of 54 years from 1953 to 1977, 16 hurri'canes have crossed directly above it, 11 within

50 Kms of its borders, and 46 within a maximum distance

of 250 Kms That total number of hurricanes represent

130 a annual mean of 3.04 hurri canes. Considering that

70,.6% of the states dwellin gs have roofs of light materiales, one can easily see the high-risk situation in this respect. It should be mentioned that Manzanillo suffered serious destructio n by a hurricane in 1958 that required federal assis tance.

Colima has also suffered in the past floods from its rivers Taragua, Juluapan, Salado, Cihuatlan, Laguna,

Patiaco, Armeria and Coah uayana. In the years between 1953 and 1977 the re were 29 registered floods a mean of 1.2 floods per year, some of which flooded a considerable number of dwellings (120 dwellings in

1973).

The number of fires in th e state is small-, a average of 9 fires a year in the period between 1973 and 1977 but 30% of them has taken place in dwellings. Never- theless if one considers that 11,920 dwellings 18.5% of the total have highly combustible wall materials such as carboard or wood and that 20.3% of the dwellings also have such materials in their roofs, fire-risk is by no means negligible,

Al tho ugh requiring additional data to support a specific rate, it seems that a yearly demolition rate of 0.5% would be a conservative numbe r to estimate replacement

131 needs in the state, which applied to the mean dwelling- stock expected for the next 2 decades would produce the following numbers:

HOUSING-NEEDS DUE JO DWELLINGS-DEMOLITION IN COLIMA 1980-2000

YEAR MEAN HOUSING ANNUAL DEMOLITION REPLACEMENT STOCK RATE NEED

1980- 4,143 1990 82,862 0.5 1990- 2000 114,658 0.5 5,730

T 0 T AL 9,873

The distribution of these dwelling-needs among the different municipalities, determined likewise on the basis of their mean dwelling stock in the coming decades is summarized as follows.

1 32 TABLE No. 18

HOUSING NEEDS DUE TO DWELLING DEMOLITION IN COLIMA BY MUNICIPALITIES 1980 - 2000

MUNICIPALITIY MEAN DWELLING STOCK REPLACEMENTNEEDS 1980-1990 1990-2000 1980-1990 1990-2000

ARMERIA 4,902 6.,149 245 307

COLIMA 25 ,541 35,021 1,277 1,751

COMALA 3,344 3,880 167 194

COQUIMATLAN 2,976 3,658 149 183

CUAUHTEMOC 4,431 5,087 222 254

IXTLAHUACAN 917 922 46 46

MANZANILLO 18,750 25,560 938 1,278

MINATITLAN 1,705 2,445 85 122

TECOMAN 14,909 19,376 745 969

VILLA DE ALVAREZ 4,835 6,835 242 342

T 0 T A L 82,862 114,658 4,116 5,s446 e) Housing Needs Due to Dwelling Conversions and Mergers.

As explained in the theoretical introduction dwelling

conversions to different uses such as offices, warehouses, factories and schools originate losses to

the dwelling stock as does the merger of smaller

dwelling into larger ones, but to assess these losses

for the future it is necessary to have available the

corresponding statistics, which exist only where

there is land use control and permi-s are required for

conversions and mergers. As this is n'ot the case in Colima, this bracket is not considered in the future

needs assessment. f) The vacancy needs for 1980 were already assessed in the

chapter on present unsatisfied needs, but as the number of households and dwellings will increase in

the coming 2 decades, there is a need to add to them

the extra vacancy needs that this growth will generate.

A vacancy rate of 1% for owner-occupied units and a

5% rate for rental units, is considered proper for

this assessment.

Using as a basis for the calculation the additional

number of households that will be formed as a result

of population growth and household reduction, and

applying to these numbers the ratios of owner occupied

133 and rental dwellings that existed in 1980, the

following overall vacancy needs are obtained for the next two decades.

YEARS HOUSEHOLD INCREASE DUE TO TENURE VACANCY NEED POPULATION HOUSEHOLD TOTAL OWNER- RENTAL SALE RENTAL TOTAL GROWTH SIZE OCCUPIED 1.0% 5.0% VACANCIES REDUCTION 63.3% 36.7%

1980- 26 9,600 36,423 23,056 13,367 231 668 899 1990 ,823

1990- 37,364 16,629 34,178 34,178 19,815 342 991 1333 2000

The distribution of the vacancy needs among the diffe-

rent municipalities in the state, as been obtained

using the specific tenure ratio of every municipality

and applying to it the vacancy need ratios mentioned.

134 C 0 N C L U S I O N S C 0 N C L U S IO N S

A important question arises once housing needs have been

assessed and programs to respond to them are being designed: what is the minimum pace that building and improvement actions should take, so as to improve the housing condition

and not allow its further deterioration?

To approach the question it is necessary to possess a measure that would allow to relate dwelling need to dwelling

construction. Such a function is fulfilled by the indicator measuring the number of dwellings needed or constructed

annually for every thousand people of the total population.

This indicator is mostly used in international studies, for

measuring the rate at which deficit erradication and needs

satisfaction is proceeding.

The question formulated is not to be confused with the

economic problem of what is the rate that can actually be

attained given the resources and limitations of the

economy, which is outside of the scope of this study. This

second question must go into the availability of the

different factors of the economy that go into housing such

as land, land services, building materials, equipment,

labor and las t but not least credits. As other sector of

the economy also have a claim on these resurces, any

137 attempt to change the existing pattern will call for a adjustment of the whole pattern of savings and spendings.

Such a change can not be achieved arbitraril; without danger of inflation and deterioration in the balance of payments, and not before it can be shown how and where the savings are to be made, and where the physical resources for a bigger housing programs are to come from. It really boils down to a study on the GNP, its magnitude and its relation with the different sectors making it up, and the housing sector.

But the question raised here, still belongs to the realm of need-assessment, and is directed towards determinin g the minimal annual building activity required to initia te a reversal in the growing defict trend, that will poi nt to its eventual future disappearence. In other words before asking about what is possible, we are first asking about what is necessary or desirable.

To win the race between building activity and the housing deficit it is at least necessary that the dwelling building rate should exceed the population growth rate. Unless that happens there will be a backlog which will accumulate and increase the housing deficit. In other words the building and improvement pace must as a mi nimum equal the pace of the future or dynamic needs that orig inate in population growth and stock-aging before any deficit reduction can

138 take place, and only then will an excess building-rate produce a deficit decrease in proportion to the rate difference.

In determining the minimal annual building-rate required for improving the housing situation, it is therefore first necessary to calculate the rates that will balance popula- tion growth in particular and future needs in general, and only then will any extra building activity available, be capable of producing a improvement in the present situation

Very often actual annual building rates are so low, due to lack of resources or wrong housing policies' that they are even far from providing for population increase or stock deterioration much less for reducing the present deficit.

In the state of Colima, summarizing the different future needs projections for the coming two decades, in order to translate them into annual need-rates we have the following situation..

139 TABLE No. 16

SUMMARY OF PROJECTION OF FUTURE HOUSING-NEEDS FOR THE STATE OF COLIMA UP TO THE YEAR 2000.

TYPE OF NEED No.OF No. OF DWELLINGS ROOMS NEEDED NEEDED

1) POPULATION GROWTH

1980-1.990 26,823 94,775 1990-2000 37,364 132 ,018

2) HOUSEHOLD-SIZE REDUCTION

1980-1990 9,600 1990-2000 16 ,629

3) STOCK AGING LOSS (2 ROOMS/DWELLING) 1980-1990 16,572 33,144 1990-2000 22,931 45,862

4) DWELLING DESTRUCTION LOSS (2 ROOMS/DWELLING) 1980-1990 4,143 8,286 19907-2000 5,730 11 ,460

5) DWELLING CONVERSION AND MERGER LOSS (2 ROOMS/DWELLING) 1980-1990 unknown unknown 1990-2000 unknown unknown

6) VACANCY NEE.S 1980-1990 899 2,877 (4.8 PERSONS/D) 1990-2000 1,333 3,821 (4.3 PERSONS/D)

T 0 T A L 1980-1990 58,037 139 ,-082 1990-2000 83,987 193,161 140 After translating these needs into yearly rates of dwellings per thousand people the necessary to balance population growth only and those required for balancing the total future needs are presented in the next table:

YEARLY RATES OF DWELLINGS NEEDED PER THOUSAND PEOPLE IN COLIMA 1980 - 2000

YEAR POPULATION RATES TO BALANCE RATE TO BALANCE TOTAL FORECAST POPULATION GROWTH FUTURE NEEDS ONLY

No. DWELLINGS/ No. DWELLINGS/ DWELLINGS 1,000 P DWELLINGS 1,000 P

1981 358,411 2,286 6.4 4,937 13.8 1982 370,953 2,366 6.4 5,111 13.8 1983 383,935 2,449 6.4 5,290 13.8 1984 397,370 2,534 6.4 5,474 13.8 1985 411,276 2,623 6.4 5,666 13.8 1986 425,669 2,715 6.4 5,868. 13.8 1987 440,565 2,813 6.4 6,075 13.8 1988 455,982 2,908 6.4 6,282 13.8 1989 471,939 3,010 6.4 6,502 13.8 1990 488,455 3,116 6.4 6,729 13.8 1991 505,364 3,190 6.3 7,143 14. 1 1992 522,860 3,301 6.3 7,392 14.1 1993 540,960 3,415 6.3 7,747 14.1 1994 559,689 3,535 6.3 7,910 14.1 1995 579,064 3,655 6.3 8,185 14.1 1996 599,111 3,782 6.3 8,467 14.1 1997 619,862 3,913 6.3 8,763 14.1 1998 641,310 4,048 6.3 9,064 14. 1 1999 663,512 4,191 6.3 9,385 14.1 2000 686,492 4,333 6.3 9,703 14.1

141 If the question were only to balance population growth, the task although req uiring a very substantial yearly rat-e of 6.4 dwel lings per 100 0 peo ple, as hi gh as that of any west ern co untry could sti l 1 be cons i dere d wi thin the reach of Col i ma, but when total1fut ure n eeds are cons ide red, the rate rises to around 14 dwellings per thousand people a rate whi ch no count ry in Western Europe ever reached even in the pos t-wa r per iod, and which only the Soviet Union touched in 195 9, in a exceptional effort to reduce more rapi dly its en ormou s housing defi cit that accumulated from pre-war negl i gen ce and world war destruction, as can be gleaned from t able No. 17 on the European housing situation.

Much more important as a reference of Colimas building potential, are of course its own rates of dwelling-increase that were effective in past decades, as infered from the census data.

YEARS DEMOGRAPHIC D4ELLINGS ANNUAL No. OF GROWTH-RATE GROWTH-RATE DWELLINGS BUILT PER 1000 p

1960-70 3.9% 3.1% 5.4 dwellings

1970-80 3.6% 4.4% 7.7 dwellings

The dwelling stock of Colima increased in the last decade at a yearly growth-rate of 4.4%, higher than the demographic growth-rate, unlike the 1960-70 decade inwhich the reverse was true. The stock-increase in the last decade took olace at a annual rate of 7.7 dwellinas ner thousand people,

142 exceding slightly population growth needs. It that increase rate were to continue it would balance'population growth which- requri res 6.3 dwe-lhifgs- per 1000 people, but woul d only be half of what is required to cover future housing needs which is 14.1 dwellings per 1000 people.

143 TABLENo. 17 EUROPEAN HOUSING INDICATORS

CURY CEI;SUS PULATION NUNSER OF NUMaER OF PERCENTAGEOF PUELLIIGS WITH THE OWELLINGSCOMPLETED PER TH3USAND IWHABITA.TS DATE 1I MILLIONS DWELLINGS ROOMSPER KLLOWING IRURL(S OF PElt 1,000 1,000 RSONS PER(o00~ AVERAGE 1953 1954 1955 1956 1957 1958 1959 1?60 1651 1W2 I'63 '30 IiTA11AtTS l4HABITANTS-2 .--...-. -..------S-- - PERSO\S MeioE THAN LESS MORE 1 THAN2

% % %

6.5 /.U 6.4 6.1 5.9 U.1TEDIKINGDb.': 52.7 315 1,423 6 40 54 71 25 4 0.68 6.0 5.4 5.5 5.9 5. 6.0 7.2 6.6 7.2 1951 7.1 304 1,060 26 54 20 23 46 31 1.20 7.2 7.3 7.4 7.0 7.5 7.5 7. 7.5 7.5 7.9 1351 6.6 7.2 iIA 9.2 328 1.572 10 38 52 66 32 2 0.62 7.2 7.3 7.4 7.0 7.5 7.5 7.i 7.5 7.5 7.9 7.6 22d 545 61 36 4 1.33 2.8. 2.9 3.2 3.5 4.5 4.9 5.2 5.3 5.1 5.6 5.1- T. 2.8 2.9 3.2 13.7 273 762 44 51 5 19 59 22 1.30 3.5 4.5 4.9 5.2 5.3 5. 5. 5 5.7 7.2 4.6 323 1,420 5 55 39 72 28 1 0.69 6.6 7.2 7.3 7.4 7.0 7.5 7.5 7.1 7.5 ,.5 7.1 2.8 EAST33ERMANY 19,11 17.1 321 832 52 43 5 1.19 2.9 3.2 3.5 4.5 4.9 5.2 5.3 5.( 5.6 5.5 5.7 7.2 FNLA43 1950 4.4 272. 747 49 42 10 21 51 27 1.31 7.2 7.3 7.4 7.0 7.5 7.5 7. 7.5 7.5 7.9 6.6 7.2 15 2 46.5 313 955 39 46 15 38 47 16 1.01 7.2 7.3 7.4 7.0 3.5 7.5 7.6 7.5 7.5 7.9 G.CECE 11512 8.4 229 647 51 38 9 62 62 37 i.45 3.1 3.6 4.4 4.7 4.8 5.8 5.2 5.3 5.7 o., 6.3 7.2 13 10.0 272 666 63 36 '1 1.42 2.8 2.9 3.2 3.5 4.5 4.9 5.2 5.3 5,8 5.6 5.5 5.7 1I.1 - 2.8 240 1,062 9 51 39 53 37 9 0.90 6.5 .7.2 7.2 7.3 7.4 7.0 7.5 7.5 7.6 7.5 7.5 7.9 53.6 257 858 42 33 19 42 37 22 1.31 3.1 3.6 4.4 4.7 4.8 5.8 5.2 5.3 5.7 6.4 6.3 7.. 101 11.5 244 1,260 5 28 66 64 32 4 0.76 6.7 7.2 7.2 7.3 7.4 7.0 7.5 7.5 7.6 7.5 ?.5 7.5 1%0) 3.6 299 1,268 13 49 38 60 36 4 0.77 6.6 7.2 7.2 -7.3 7.4 7.0 7.5 7.5 7.6 7.5 7.5 7.9 29.8 236 580 58 38 4 307 449 2711 1.66 2..8 2.9 3.2 3.5 4.5 4.9 5.2 5.3 5.8 5.6 5.5 5.7 P3RitiAS. B:8 267 802 30 46 23 22 68 10 1.1112 3.1 3.6 4.4 4.7 4.8 5.8 5.2 5.3 5.7 6.4 6.3 7.2 30.6 240 1.025 15 44 41 44 41 .15 0.93 3.1 3.6 4.4 4.7 4.8 5.8 5.2 5.3 5.7 6.4 6.3 7.2 19.0 7.5 344 1,181 25 55 19 52 44 4 0.83 6.6 7.2 7.2 7.3 7.4 7.0 7.5 7.5 7.6 7.5 7.5 7.9 2LANR: L 5.4 201 1,387 7 45 49 73 26 1 0.69 7.2 7.2 7.3 7.4 7.0 7.5 7.5 7.6 7.5 7.5 7.9 U.S.S.R. 214.4 244 685 1.5 6.6 7.0 7.7/ 8.2 10.8 13.0 14.5 13.6 12.4 11.7 11.0 10.2 :ES1EAie 6ERMi 1951 . 54.0 288 1,0073 10 61 29 53 44 3 0.88 6.6 7.2 7.2 7.3 7.4 7.0 7.5 7.5 7.6 7.5 7.5 7.9 Yn3S-LAVIA 1i1 18.6 220 613 47 45 9 10 53 37 1.59 2.8 2.9 3.2 3.5 4.5 4.9 5.2 5.3 5.8 5.6 5.5 5.7 T 0 T A L 0.3 T D T A L t0OPE 5.3 5.8 6.2 6.5 7.6 8.3 9.0 3.8 8.6 8.4 7.5

SULRES: U ..A SftatasticalSurvey of the housing Situation in European Countries Around 1960. and U.N. "Mejor Problegms" Study. NOTES: seit-ev otn.risse indicated, oweilings includeoccupied and vacant conventional or permanent ho.sing. and houses for l a .. !et exclude residential institutions and imp'ovisea nousinq not intented for human f.latrdrt. habitation :4re for total populatiDon.including people living in institutions and improvised housing. * ec wncrie -irked with and asterisk define households and dwellings in ways rL'-be-2s of eacn. which assimilate one to the other, giving equal

.:ds ttit. .i i dttn.u o tiI.ry !1.1 110 'Ai1. .1"a all ro("e of it least six ..quare me-ttes' area other, than those used for- bu',iness purposus only. To this major annual rate it would be necessary to add a extra load, if any deficit in its 3 components: complete dwellings, room-additions and dwelling-improvements is summarized in the next table, so as to infer subsequently possible annual rates for its total liquidation in a hypothetical period adopted:

SUMMARY OF PRESENT HOUSING DEFICIT IN COLIMA, 1980.

TYPE OF NEED No. OF UNITS

1) COMPLETE DWELLINGS 30,731 DWELLINGS

1.1 inadequate wall -materials 26,315 ", 1.2 households doubling-up 2,815 "t 1.3 vacancies 1,231 "I 1.4 homeless househ-olds 374 "'

2) ROOM-ADDITIONS 100,306 ROOMS

3) PARTIAL DWELLING-IMPROVEMENTS 143,795 IMPROVEMENTS 3.1 outside water service 9,593 It 3.2 inside water service 19,583 3.3 sewers 25,911 I' 3.4 electric installation 10,073 II 3.5 bathrooms 17,653 'I 3.6 bathrooms pl umbing 15,654 3.7 kitchens 11,331 'I 3.8 bedrooms 8,117

145 The period chosen for erradicating the present de fi ci t,

must be such that the yearly building rates it impl ies in

addition to the future need rates, should still be within

the realistic range of the national economy. Considering that

the annual rate required for balancing the future needs

already exceeds 14 dwellings per thousand peopl e, there is

practically little room left if any for an addi tional number

of dwellings for eliminating the present defici t. Neverthe-

less, in order to gauge the magnitud of the tas k, one among

many possible periods was chosen for measuring the yearly

rate if implies. Assuming a very moderate peri od of 20

years until the year 2000 for totally erradicat ing the pre-

sent deficit one arrives at the following rates , in wh.ich

a distinction is drawn between complete new dwe llings

required, room-additions to existent dwellings, and impro-

vements to existing dwellings, tasks with small er costs, but

.nevertheless equally important:

146 TABLENo. 19

ANNUALRATES PER 1000 PEOPLE,REQUIRED FOR ELIMINATINGTHE PRESENT HOUSINGDEFICIT IN COLIMAIN A 20 YEAR PERIOD.

YEAR No. OF COMPLETE RATE PER No. OF ROOM RATE PER No. OF DWELLING- RATE PER DWELLINGSREQUIRED 1000 P. ADDITIONSREQUIRED 1000 P IMPROVEMENTS 1000 P REQUIRED

1981 1,088 3.0 3,550 9.9 5,090 14.2 3,675 1982 1,126 3.0 9.9 5,269 14.2 1983 1,165 3.0 3,804 9.9 5,454 14.2 1984 1,206 3.0 3,937 9.9 5,644 14.2 1,248 1985 3.0 4,075 9.9 5,841 14.2 1986 1,293 3.0 4,220 9.9 6,050 14.2 1987 6,263 1,338 3.0 4,369 9.9 14.2 1988 1,384 3.0 4,518 9.9 6,476 14.2 1,433 1969 3.0 4,676 9.9 6,603 14.2 1,483 1990 3.0 4,840 9.9 6.938 14.2 1991 1,534 3.0 5,007 9.9 7,178 14.2 1992 1,587 3.0 5,181 9.9 7,427 14.2 1993 1,642 3.0 5,360 9.9 7,683 14.2 1,700 1994 3.0 5,548 9.9 7,953 14.2 1995 1,757 3.0 5,736 9.9 8,223 14.2 8,509 1996 1,818 3.0 5.,935 9.9 14.2 1997 1,882 3.0 6,142 9.9 8,805 14.2 1998 1,946 3.0 6,353 9.9 9,107 14.2 1999 2,014 3.0 6,573 9.9 9,423 14.2 2000 2,081 3.0 6,801 9.9 9,750 14.2 The resultant annual dwelling construction rate turns out

to be moderate if taken by itself,3 dwellings per thousand people, and the same can be said of the room construction rate of 9.9 rooms/1000 p. and the dwelling improvement rate of 14.2 dwelling-improvements per 1000 people, but taken as a whole and in addition to the future-needs rate of 14 dwellings per 1000 people the goal of total deficit erradi- cation, unfortunately seems to lie far ahead of the year

2000, if demographic growth and household size reduction continue at the present high rate.

To translate these. housing ne eds by municipali.ty, into their

corresponding annual rates of dwellings required per

thousand people, an approximat e method was applied, using

the mean annual dwelling need and the mean populati'on of each decade, Although less precise than the method applied

to the state as a whole, the numbers obtained nevertheless

give an adequate idea of the c onstruction rate required,

and their comparative magnitud in the different muni cipal i-

ties.

148 TABLE No. 20 SUMMARYOF FUTUREHOUSING NEEDS IN THE STATE OF COLIMA BY MUNICIPALITYAND TYPE OF NEED, 1980 - 2000

TYPE OF NEED ARMERIA COLIMA COMALACOQUIMATLANCUAUHTEMOC IXTLAHUACAN MANZANILLO MINATITLAN TECOMANVILLA Di ALVAREZ

1) POPULATIONGROWTH 1980-1990 1,247 7,244 689 844 852 153 7,731 751. 5,911 2,499 1990-2000 1,491 9,218 682 944 827 0 11,276 1,081 8,440 3,821

2) HOUSEHOLD-SIZE REDUCTION 1980-1990 535 4,971 279 63 356 24 1,365 132 324 112 1990-2000 844 9,743 390 370 486 9 2,345 399 495 190

3) STOCKAGING LOSS 1980-1990 980 5,108 668 595 886 183 3,750 341 2,981 967 1990-2000 1,229 7,004 776 732 1,017 185 5,112 489 3,875 1,367

4) DWELLINGDESTRUC TION LOSS 1980-1990 245 1,277 167 149 222 46 938 85 745 242 1990-2000 307 1,751 194 183 254 46' 1,278 122 969 342

5) DWELLINGCONVERSION AND MERGER LOSS 1980-1990 unknown unknown unknownunknown unknown unknOWn unknown unknQwn unknown unknowi 1990-2000 "I "I " "

6) VACANCYNEEDS 1980-1990 41 333 20 7 23 3 233 22 150 64 1990-2000 53 510 22 30 24 8 349 37 215 98

T 0 T A L 1980-1990 3,048 18,933 1,823 1,658 2,339 409 14,017 1,331 9,961 3,884 1990-2000 3,924 28,226 2,064 2,309 2,608 248 20,360 2,128 13,994 5,818 TABLE No. 21

FUTURE RATES OF DWELLINGS NEEDED PER THOUSAND PEOPLE IN COLIMA BY MUNICIPALITIES, 1980 - 2000.

MUNICIPALITY MEAN POPULATION FORECAST RATES TO BALANCE POPULATION GROWTH ONLY RATESTO BALANCE TOTAL FUTURE:NEEDS 1980-1990 1990-2000 1980 - 1990 1990 - 2000 1980 - 1990 1990 - 2000

No. DWF. LINGS/ No. DWELL.ING/ No. DWELL No. DWELLINGS/ DWELLINGS 1000 P DWELLINGS 1000 P DWELLINGS INGS/ UWELLINGS 1000 P 1000 P 24,963 32,356 124.7 5.0 149.1 4.6 304.8 12.2 392.4 12.1 AR~1ERIA

COLIMA 117,858 159,784 724.4 6.1 921.8 5.8 1,893.3 16.0 2,822.6 17.7

COMALA 17,693 21,464 68.9 3.9 68.2 3.2 182.3 10.3 206.4 9.6

COQUIMATLAN 16,241 21,293 84.4 5.2 99.4 4.7 165.8 10.2 230.9 10.9

82.7 CUAUHTEMOC 24,436 29,221 85.2 3.5 2.8 233.9 9.6 260.8 8.9

IXTLAHUACAN 4,351 2,639 15.3 3.5 0.0 0.0 40.9 9.3 24.8 9.5 8.0 MANZANILLO 91,654 140,120 773.1 8.4 1,127.6 1,401.7 15.3 2,036 14.5

MINATITLAN 8,756 13,610 75.1 8.5 108.1 7.9 133.1 15.1 212.8 15.6

TECOMAN 83,093 123,275 591.1 7.1 844.0 6.8 996.1 12.0 1,399.4 11.4

VILLA DE ALVAREZ 26,342 43,723 249.9 9.5 382.1 8.7 388.4 14.7 581.8 13.3 From the data one can clearly see the great differences th at

exist among the municipalities concerning their future

housing needs. In one extreme stand fast growing municipa l1 ties like Villa de Alvarez, Minatitlan, and Manzanillo tha t

require very high rates just to balance population growth

alone (9.5, 8.5 and 8.4 dwellings per 1000 people) in this

decade,while in the other extreme there are stagnating

municipalities lik e Cuauhtemoc, Ixtlahuacan and Comala who

require less than 3 dwellings per 1000 people for this purpose. Similar contrasts among municipalities are also

visible if one con siders total future needs. The very hig h rates required by Colima, Manzanillo, Minatitlan and Villa

de Alvarez in this decade stand out among the rest. One can

also appreciate di fferences between municipalities in their

growth and need tr ends from one decade to the other, although

in almost all of t hem the rates required will go down, with

,he exception of Colima who will climb to rates as high as

17.7 and 15.6.

The distribution oF the present housing deficits by. muni c i.pa

lities is given in the next table, which. is to be added to

the future housing needs. The table is a summary of th-e

different component fractions that make up the deficit.

p. 151 TABLE No. 22

SUMMARYOF PRESENTHOUSING DEFICIT IN COLIMABY MUNICIPALIITIES,1980.

CUAUHTEMOCIXTLAHUACANMANZANILLOMINATITLANTECOMANVILLA DE T 0 T A L TYPE OF NEED ARMERIACOLIMA COMALA COQUIMATLAN

606 5,177 1,032 5,894 1,868 30,532 1) COMPLETEDWELLINGS 2,114 8,132 2,186 1,644 2,138 1.1 Inadequate Wall-Materials 2,006 6,523 2,036 11495 1,998 549 4,216 529 5,287 1,676 26,315

1.2 HouseholdsDoubling-Up 169 1,098 103 105 69 41 546 26 334 110 2,601 1,231 1.3 Vacancies 63 431 38 40 50 9 293 28 212 68 1.4 HomelessHouseholds 55 80 9 4 21 7 122 1 61 15 374

2) ROOM-ADDITIONS 6,680 25,051 5,270 4,879 6,679 1,656 20,510 2,079- 21,457 6,009 100,304

143,795 3) PARTIALDWELLING IMPROVEMENT 11,696 31,168 8,004 6,862 7,316 2,957 34,686 3,485 30,247 9,352 9,538 3.1 Outside water service 522 2,215 592 348 410 244 2,524 211 1,231 1,141 19,583 3.2 Inside water service 1,280 4,085 993 687 925 358 5,792 503 3,534 1,526 25,911 3.3 Sewers 2,992 5,443 1,752 1,577 1,437 640 6,360 720 5,578 1,447 10,073 3.4 Electric Instalation 1,000 1,961 881 556 441 355 1,777 478 2,081 543 17,653 3.5 Bathrooms 1,300 3,474 1,329 1,146 1,164 466 3,921 606 3,250 967 15,654 3.6 Bathroom-Pl umbiing 1,230 3,152 708 619 819 234 3,666 217 3,750 1,259 553 598 11,331 3.7 Kitchens 807 2,919 487 568 176 2,683 183 2,357 8,117 3.8 Bedrooms 601 1,810 337 .318 314 89 2,164 123 1,910 451 5,480 3.9 PavedFloors 395 1,007 242 294 338 132 1,240 105 1,343 384 20,298 3.10Roofs 1,539 5,102 617 830 1,000 263 4,559 239 5,213 1036

6

V.

b. Translating the deficit in the different municipalities, into the annual rates required for its liquidation in the

20 - year period already discussed, one obtains the results summarized in table 22. This table using a numerical indicator which is most appropiate for compariosons, is one of the most revealing of the current deficit situation prevaling in the different municipalities, One can see the great contrasts than exist within the state in this respect, and thus design the housing programs in a way that these contrasts are reduced.

153 TABLE No. 23

ANNUAL RATES PER 1000 PEOPLE, REQUIRED FOR ELIMINATING THE PRESENT HOUSING DEFICIT IN COLIMA IN A 20 YEAR PERIOD BY MUNICIPALITIES.

MUNICIPALITY MEAN POPULATION ANNUAL BUILDING RATE REQUIRED 1980-2000 (1990) COMPLETE DWELLINGS ROOM ADDITIONS DWELLING IMPROVEMENTS

ARMERIA 28,330 4.1 11.8 20.7

COLIMA 136,278 3.0 9.2 11.4

COMALA 19,588 5.6 13.4 20.4

COQUIMATLAN 18,561 4.4 13. 1 18.4

CUAUHTEMOC 26 ,865 4.0 12.4 13.6

IXTLAHUACAN 3,907 7.8 21.2 37.9

MANZANILLO 11,367 2.3 9.2 15.6

MINATITLAN 10,746 2.7 9.7 16.3 15.2 TECOMAN 99,644 3.0 10.8

VILLA DE ALVAREZ 33,214 2.8 9.0 14.1

TOTAL OF STATE 488,455 3.0 9.9 14.2 From a purely quantitaive standpoint the public sector played

a minor role in the housing-scene of the state of Colima.

As can be infered from the statistics on the subject which were compiled by the Intersecretarial Commission on Housing

Planning, Programing and Financing and published under the name of ESTADISTICA BASICA DE VIVIENDA 1973-1980, the public

sector through all its different agencies as INFONAVIT, ISSSTE, INDECO, etc., only contributed annually with 1.14

dwellings per 1000 people, 15% of the total rate of stock

increase which was 7.7 dwellings per 1000 people, in Colima

in the last decade. As can be seen from table Nos. 24 and 25 which was ellaborated on the basis of the statistics

mention ed, the public sector could be credited in Colima with a mean to tal annual building activity of 331 dwellings in the period between 1973 and 1980 whose total cost was

$2,295, 570 US Dolars, equivalent to a cost per dwelling of

$6,929 US Dola rs.

This fact has great significance for shaping housing

policy, indicating t hat the private sector is still the

dominating factor in the housing market and that it is

towards that sector that the major efforts must be dir ected

if substantial impro vement in the housing situation is to be achieved.

155 * .*i.,*..S '*.~.'. I r TABLE No. 24

SPENDINGAND HOUSINGBUILT BY THE PUBLICSECTOR 1973 - 1980 NATIONALLYAND IN COLIMA

1. I1 I- .j 4 1..1 1 -

No. DWELLINGSBUILT TOTALINVES1MENT (MILLIONS, MP.DLS.) INVESTMENIPER DWELLING COUNTRY COLIMA COUNTRY COLIMA COUNTRY COLIMA

%NO.

1973 21,655 100% 0 0% 871 708 MP 100% 0.00MP 0.00% 40,254 MP

*69.737US DLS 0.00 US DLS 3,220US DLS 1974 41,529' 100% 277 (0.67%) 2,780.465MP 100% 23.458.MP 0.84% 66,952MP 84,667MP

222.437US DLS 1.877 US DLS 5,366US DLS 6,773US DLS

1975 48,427- 100% 122 (0.25%) 3,726.195MP 100% 13.160 MP 0.35% 76,945MP 107,869MP 298.096US DLS' 1.053 US DLS 6,155US DLS 6,155US DLS

1976 65,972 100% 269 (0.41%) 8,798.949MP 100% 50.240 MP 0.57% 133,374MP 186,766MP

A) nIATF10 NA I('? prltiI :0At UATI - . 9 474.619sUS'DLS ?.716 US DLSt 7,209US DLS 10,095US DLS

1977 41,017 100% 200 (0.49) 6,899,44/MP 100% 27.055 MP 0.46% 143,829MP 135,275MP 240.794US DLS 1.104 US DLS 5,870US DLS

1978 69,334 m 100% 779 (1.12%) 9,331.938MP 100% 98.U53MP 1.05% 134.594MP 125,870MP 380.895US DLS 4.002 US DLS 5,493US DLS 5,137US DLS

1979 72,644 100 438 (0.60%) 17,013,994MP 100% 71.386 MP 0.42% 234.210MP 162,982MP

694.449US DLS 2.914 US DLS 9,560US DLS 6,652US ULS

19W0 75.514 100% 234 (0.31) 22,160,574MP 100% 58.870 MP 0.27% 293.463MP 251,581MP

904.613US DLS 2.403 US DLS 11,978US DLS 10,269 USDLS

T 0 T A L 436,092 100% 2,319 (0.53) 70,583.270MP 100% . 452.222 0.48% 161.854MP 147,573 MP 3,286.540US DLS 16.069 7,536US DLS -6,92P US DLS

A) STATETO NATIONPOPULATION RATIOw 258) ,723/ 2 0.54% EXCHANGERATE OF M PESOSTO DQLARS: 1973 1975 : 12:50 1976: (12.50 + 24.50)/2 a 18,50

I 1977 - 1980: 24.50 8) STATETO NATIONINVESTMENT RATIO: 16.0A9 0.49 3.286b. 54U

C) INVESTMENTTO POPULATIONRATIO w A/B 0.64/0.49 a 0.90 v TABLENo. 25

-CREDIlSEXTENDED BY iHE PRIVATEBANK SYSTEMFOR PUBLICHOUSING, THROUGH THE GOVERMENT (1973-1980)

t' ).-' .. *- rli-s I..

PRIVATEBANK CRED11S FORPUBLIC HOUSING CREDITPER DWELLING Co. OF CREDITS INVESTMENT(MILLIONSNP AND COUNTRY DLM) COLIMA COUNTRY COLIMA COUNTRY COLIMA

29,226 100% 45 11,305.521Me 2.396 MP 44,670MP 53,244MP

104,442US DLS 0.192 DLS 4,260DLS 17,671 100% 15 1,057,098li P , 0.909 MP 59,821 60,600MP 84,568US. DLS 0.073 DLS 4,848 15,782 100% 21 1,327.950MP 1.592 MP 84,143 MP 75010 MP 106,236US OLS 0.127 OLS 6,064 DLS,

12,877 100% 57 1,277,668MP, 5.302 MP 99,221MP 93,01BMP

69,063US DLS ,0O...424 DLS 7,441 DLS

11,135 100% 77 1,429,140MP 11.539 MP 128,346MP 118,959MP 58,332US DLS 0.471 DLS 4,855DLS

20,239 100% 107 4,521,392MP 21,434MP 223,400MP 200,318MP

184,547US DLS 0.875 DLS 8,176 DLS

28,157 100 78 8,855.000Me? 20,264 MP 314,468MP 259,795MP

361.429US DLS 0.827 DLS 10,604DLS

28,840 100% 6 8,715.000MP 2,205MP 302,184 367,500MP

355.714US DLS 0.090 DLS 15,000DLS

163,927 MP 426 28,488.769MPe 65.641 MP 173,789 154,086MP US 0,078 US DLS 4 1,324.331 DLS 3.078 DLS 7,227DLS

DATA SOURqE: ESTADISTICABASICA DE VIVIENDA 1973-1980 COMISIONINTERSECRETARIAL DE PLANEACION, PROGRAMACIONY FINANCIAMIENTO DE LA VIVIENDA.

40 B I B L I O G R A P H Y

I.- American Public Health Association (1941) Housing for health, Lancaster, Science Press. 2.- American Publi c Health Assoc iation (1945-50) An apprai sal metho d for measuring the quality of h.ousing a yardstick for health officer s, housing officials and planners, Nueva York, Parts I-III

3.- American'Public Health Association (1946) Basic prin- ciples of healthful housing, Nueva York, 2a, ed.

4.- American Public Health Association (1952) A proposed Housing Ordinance, Nueva York.

5.- Censo General de Poblacion y Vivienda, 1960 Estado de Colima, Direcci6n General de Geografia y Es tadis ti ca.

6.- Censo General de Poblaci6n y Vi vienda, 1970 Estado de Colima. Direcci6n General de Geograffa y Estadistica.

7.- Censo General de Poblacion y Vi vienda, 1980 Estado de Colima . Coordinaci6n General de los Servi- cios Nacionales de Estadistica, Geograffa e In formiti ca. Secretaria de Programaci6n y Presupuesto.

8.- Consejo Nacional de Poblaci6n. CONAPO Mixico Demogrifico. Brevi ario 1980-81. 9.- Currie, L. J. (1953) Role of housing research in Latin American development. En: United Nations, Housing and Town and Country Planning Bulletin, No. 8, Pag. 90. 10.- Doxiadis, C. A. ( 1955) Standards of housing accommoda tion and density. En: United Nations, Housing Buil-- ding and Planning No. 9 pig. 55

11 .- Naciones Unidas, Departamento de Asuntos Econ6micos y Sociales (1961). Informe sobre la situaci6n social en el mundo , Nueva York.

Naciones Unidas. Departamento de Asuntos Econ6micos y Sociales. ST/SOA/76. M6todos pa ra Establecer Objeti vos y Normas en Materia de Vivien da y Desarrollo del~ Medio. New York 1969.

158 13.- Naciones Unidas (1958) Principios generales para un censo de habitaci6n (Informes estadistiscos, Serie M. 'No. 28).

14.- Organizacio6n Mundial de la Salud OMS. Funciones de los Servicios de .Salud P6b lica en los Programas Relacionados con la Vivienda. Cuadernos No. 25. Ginebra.

15.- Organi zaci 6n Mundial de la Sal ud. Informes Tcnicos 353. Eval uaci6n de la Salubri dad de la Vivienda y del Medi o Urbano. Informe de un Comiti de Expertos de la OMS. Ginebra 1967.

16.- Organ i zaci On Mundia 1 de la Salud, Comiti de Expertos en Hi giene de la Vi vi enda (1961) Primer Informe, Gineb ra (Org. Mund, Sal ud. Ser, Inf. tecn, 225.1

17.- United Nations, Department of Economic and Social Affairs (1962) Statistical indicator of housing conditions, New York (Statistical Papers, Series M. No. 37).

18.- United Nations, Economic Commission for Europe (1959) Utilization of space in dwellings, Geneva.

19.- Estadfs-tica Bssica de Vivienda 1973-1980, Comisi6n Intersecretarial de Planeaci6n, Programacidn y Financiamiento de la Vivienda. Mexico.

159 VII POPULATION AND HOUSING CENSUS OF COLIMA - 1960 ~ AS

2v 220

jan ~tA*MC&CI5404

fsiaisAndS Afl~~a65i'VedwsA Atrc WC 5,

~doFM S~ PA ~ 7 o xI uac.a-

x -Ama~t TR?,clAt01I domsbluO AI~k oza.!l $ 0, Ps-D Lasntv,

EVAAOQ11JE% IM I DELW 8-rdm J omzu \~ tot~An

1 i f 4 N' ~O Ouhiamdw,chad-\~Amu diaf *ECULN~.l )Oo 64 a (vst.

ca CAuoLAAP~I~A KRERu on *

Edo. de Colimaa wtM

i\YSo T0cATITL

190 CO LIMA

e C

o V, I N 4

6

0 c 5

'4 /V 0 8

C IESTADO DE p MICHOACAN C G RUPOS 0 Hobitantes por Km? Do 1.00 a 25.00 IZJ De 25.0 1 a 50.00

Do 50.01 a 100.00

Waose guodro do Dansidad de Pobiocian WS21EI=DDDS POBLACIV 23

Extensi6n Muicpisliabi tates titorial Densidad, & abe.XgN.. K.-

TOTALES 164 450 5 45,5.00 30.14

1 C0t.IMA 53 746 66.20 80.43 I COMALA 11 512 25,4.09 45.30 3 COGUIMATLAN 8 375 390.59 21.44 4 CUAUHTEMOC 13 513 373.16 36.21 5 IXTLAHUACAN 4 19S 46,8.71 8.95 6 MANZANILLO 39 811 1 849.62 21.52 7 MINATITLAN 3 150 214.61 14.67 G TECOMAN 23 887 807.63 29.57 9 VILLA DE ALVAREZ 6 253 42 *39 -14.60 CUADRO I CARACTERISTICAS PRINCIPALES DE LA POBLACION, POR MUNICIPIOS CENSOS DE 1930, 1940, 1950 Y 1960

POBLACION ALFABETISMO FCONOMICAMENTE

MUNICIPtOS, CENSO Y SEXO

SUMA URBANA RURAL ALFABETOS 1 EANALFA- ACTIVA INACTIVA )BETOS TTALES 1930 61 923 27 402 521 24 694 28 031 19 627 42 296 HOMSKES 29 402 12 128 274 11 727 13 027 18 351 11 051 MUJE RE 5 32 521 15 274 247 12 967 15 012 1 276 31 245 78 806 35 556 250 38 459 27 777 25 390 53 416 KOMBRES 38 048 16 077 971 18 4330 13 183 22 654 15 394 - ujEAE S 40 758 19 479 279 20 029 14 59" 2 736 38 022 1950 112 321 67 559 762 59 2 ; 29 516 37 363 74 958 MOW88ES 54 865 32 016 849 28 615 14 299 31 829 23 036 -L MUJERE S 57 456 35 543 913 30 59 15 217 5 5314 51 922 164 450 101 640 810 89 9451 41 154 49 832 114 618 MOMaRES 82 489 49 974 515 45 1401 19 975 40 305 42 184 MUJERES 81 961 51 666 295 44 544 21 179 9 527 72 434 COLMA. 1.930 26 077 21 117 960 12 43 9 992 7 753 18 324 MOMBRES 11 768 9 274 '494 5 621 44 303 6 872 4 896 MUJERES 14 309 11 843 466 6 808! 5 689 881 13 428 1940 28 514 22 601 913 16 425 7 910 9 014 19 500 M4OP8RES 13 055 10 009 046 7 397 3 475 7 342 5 713 MUJERES 15 459 12 592 867 9 128 4 435 1 672 13 787 1'950 36 826 28 656 170 21 395 7 5586 12 233 24 593 MOM8RES 17 275 13 105 170 10 212 3 362 9 495 7 780 MUJERES 19 551 15 551 000 11 683 4 1961 2 738 16 813 1960 53 746 43 518 228 32 365 10 9331 18 141 35 605 MOMaRES 26 197 20 854 343 L5 930 4 994 13 965 12 232 MUJERES 27 549 22 664 885 16 435 5 939 4 176 23 373 COMALA 1930 5 561 561 1 723 3 018 1 813 3 748 MOM8RES 2.714 714 836 1 618 1 761 953 MUJERES 2 847 847 587 1 400 52 2 795 1949 7 544 829 715 2 53C 3 570 2 329 215 MOMSRE 5 3 683 368 315 1 25C 1 694 2 133 1 550 MU.JERES 3 861 461 '400 1 28C 1 876 196 3 665 1950 8 935 3371 598 4 143 2 703 2 783 6 152 HOMBRES 4 476 692 784 2 111 1 336 2 574 1 902 MUJERES 4 459 6451 8141 2 032 1 367 209 4. 250 1960 11 512 9431 569 6 321 2 817 3 764 7 748 MOM8RE5 5 878 551 327 3 310 1 344 3 224 2 654 MUJERES 5 634 392 242 3 011 1 473 540 5, 094 CO0U11FATLAN 1930 2 767 767 1 052 277 921 646 MOMSRES 1 370 370 497 650 902 468 MUJERE S 1 397 397 555 627 19 1 378 1940 4 887 887 1 841 172 1 548 3. 339 MOM9RES 2 462 462 937 077 1 466 996 MUJERES 2 425 425 904 095 52 2. 343 1950 6 100 267 833 2 661 926 2 001 099 MOMSRES 3 020 559 461 1 271 997 1 843 177 MUJERES 3 080 708 372 1 370 929 158 922 1960 8 375 487 888 4 057 597 2 745 630 MOMBRES 4 296 251 045 2 056 329 2 345 951 'UJERES 4 079 236 843 2 001 268 '400 34 679 CUAUNTEMOC 1930 5 409 409 1 714 807 1 793 3' 616 MOMdRES 2 696 696 866 212 1 751 945 MUJERES 2 713 713 848 595 '42 2' 671 1940 6 641 641 2 672 662 2 062 579 MOMBRES 404 1 9145 370 3 315 315 1 240 2: KUJERES 3 326 326 1 432 256 117 3; 209 1950 10 673 434 239 5 C69 116 3 276 397 MOMBRES 5 403 691 712 2 464 656 3 ca7 316 3 MUJERES 5- 270 743 527 2 605 460 189 081 1960 13 513 765 748 532 9; 296 7 028 '4 217 5 MOMBRES 6 839 877 962 3 553 792 3 529 310 MUJERES 6 674 688 786 3 475 740 688 986 'UUM~L/n) I CARACTERISTICAS PRINCIPALES DE LA POBLACION, POR MUNICIPIOS CENSOS DE 1930, 1940, 1950 Y 1960

PODLACION ALFABETISMO POOLACION EC0NOMICAMENTE

MUNICIPIOS, CENSO Y SEXO

SUMA URBANA AURAL ALFABETOS ANALFA- ACTIVA INACTIVA BETOS ACIA IATA

IXTLAMUACAN 1930 MOMURES MUJERES 1940 3402 34402 1 353 1 453 1 080 2 322 HOM8RES 1 723 MUJERES 1 723 698 732 1 045 678 1 679 1 679 655 72' 35 1 644 1950 . 2 939 2 939 1 162 1 137 MOMBRES 940 1 999 1 490 1 490 586 568 849 641 MUJERES 1 449 1 449 576 1960 569 91 1 358 4 198 4 198 2 047 1 272 997 3 201 MOMSRES 2 175 2 175 1 066 646 949 1 226 MUJERES 2 023 2 023 981 626 48 1 975 MANZANILLO 1930 9 552 3 669 5 883 3 997 HOMBRES 4 079 3 178 6 374 4 616 1 622 2 994 2 O 1 883 3 016 1 600 MUJERES -4 936 2 047 2 889 1 989 2 196 1940 162 4 774 17 229 6 831 10 398 9 ;93- 5 413 6 126 11 103 MOMBRES 8 545 3 156 5 389 4 751 2 534 5 693 2 852 MUWERES 8 684 3 675 5 009 4 542 2 879 1950 433 8 251 27 038 16 351 10 687 14 793 6 712 9 314 17 724 MOM8RES 13 253 7 831 5 422 7 267 3 157 7 920 5 333 MUJERES 13 785 8 520 5 1960 265 7 526 3 555 1 394 12 391 39 all 24 802 15 009 21 257 10 433 HOMBRES 11 577 28 234 20 047 12 229 7 818 10 779 5 MUJERES 078 9 368 10 679 19 764 12 573 7 191 10 478 5 355 2 209 17 555 MINATITLAN 1930 MOMBRES MUJERE S 1940 1 798 1 798 565 885 486 1 MOMBRES 312 913 913 282 438 476 437 MUJERES 885 885 1950 283 447 10 875 2 500 2 500 1 042 878 766 MOMSRES 1 734 1 275 1 275 554 432 714 561 MUJERES 1 225 1 225 408 446 1960 52 1 173 3 150 3 150 1 633 882 623 2 327 MOM8RES 1 647 1 647 890 436 7448 899 MUJERES 1 503 1 503 743 446 75 1 428 TEZCMAN 1930 7 151 7 151 2 107 3 959 2 533 4 618 MOMRES 3 595 3 595 1 069 1 948 2 473 1 122 MUJERES 3 556 3 556 1 016 20 lk 60 3 4496 1940 5 421 3 295 2 126 2 08a 2 518 1 688 3 733 HOMSRES 2 705 1 544 1 161 1 056 1 237 1 570 1 135 MUJERES 2 716 1 751 965 1 032 1 281 118 2 598 1950 12 26 7 217 5 046 5 61l 4 348 4 428 7 835 MOMBRES 6 182 3 556 2 626 2 823 2 207 3 957 2 225 MUJERES 6 081 3 661 2 420 2 791 2 1441 471 5 640 1960 23 887 16 162 7 725 11 575 7 317 5 639 18 248 MOMSRES 12 2442 8 246 3 996 5 978 3 681 4 583 7 659 MUJERES 11 645 7 916 3 729 5 600 3 636 1 056 10 589 VILLA 0E ALVAREZ 1930 5 406 2 616 2 790 1 665 2 907 1 636 3 770 MOMBRES 2 643 1 232 1 411 803 1 413 1 576 1 067 MUJERES 2 763 1 384 1 379 862 1 494 60 2 703 1940 3 370 3 370 1 692 1 194 1 057 2 313 MOM8RES 1 647 1 6447 819 592 984 663 MUJERES 1 723 1 723 873 602 73 1 650 1950 5 047 3 297 1 750 2 829 1 138 1 622 3 425 M0MaRES 2 491 1 582 909 1 327 584 1 390 1 101 MUJERES 2 556 1 715 841 1 5C2 554 232 2 324 1960 6 258 3 963 2 295 3 659 1 371 1 9291 4 329 OMBRES 3 168 1 966 1 202 1 839 675 1 5941 1 574 MUJERES 3 090 1 997 1 093 1 820 696 335 2 755

NOTA(.) EN 1960 Lk POBIACION EC0NOMICAENrE ACTIVA TTEITE COMOLIITE IlERIOR DE ' EMD 8 AXoS.EN Lx CENSOS ANTERIGRES ESTE LITE FU DE 12 A;I. ES - CUADRO UUM. 19. CUADRO 4 POELACION DE LOS MUNICIPIOS, ~/1 POR GRUPOS DE HABITANTES

HAOITANT ES

DE MUNICIPIOS Y GRUPOS DE HABITANTES NUMCRO LOCALIDADES

SUMA HOMBRES MUJERES

T70 \LES 801 164 4!O 82 &49 81 961 1 A 99 319 7 443 3 960 3 560 100 A 499 104 24 600 12 849 11 771 500 A 990 1 a 13 029 6 755 6 304 1 000 A 2 499 11 17 611 d 971 d 640 2 50 A 4 999 5 2; 0101 11 103 10 047 10 003 A 19 999 2 J6 112. 17 9.7 Id 155 43 000 A 49 999 1 43 51p 20 854 22 664 CLNSADAS CON OTRAS 245 PEGISTRADAS SIN MAdITANTEs 96

COLIMA 165 53 76 26 197 27 549 I A 99 7 s 2 2C4 1 209 1 055 ' 100 A #499 18 3 647 1 937 1 710 500 A 999 4 2 373 1 220 1 153 .1 000. A 2 499 1 1 944 977 967 40 000 A 49 999 1 43 518 20 854 22 0644 CENSADAs CON OTRAS s 47 REGISTRAAS SIN HABITaNTES 16

COMALA 67 11 512 5 676 5 634 1 A 99 33 69 311 29b 100 A 499 13 2 870 1 450 1 42o 500 A 999 2 1 '435 702 733 1 000 A 2 499 1 1 b5 864 791 2 501 A 4 999 1 4 943 4 51 2 392 CLNSADAS CON OTRAS 7 REGISTRAVAS SI HABITANTES 10

COQUIMATLAN 47 8 375 4 246 4 079 1 A 99 25 568- 301 267 100 A 499 8 I ooc 1 003 *57 1 000 A 2 499 1 1 40 741 719 2 500 A 4 999 1 4 4447 2 251 2 236 CENSAAS CON OTRAS 3 PZGISTRADAS SIN HABITANTES 9

CUAUHTEMOC 50 13 513 0 d39 6 674 1 A 99 24 1 266 6.44 622 100 A 499 6 1 993 1 007 9.6 500 A 999 5 J 996 ? 109 1 d d7 1 000 A 2 499 1 2 493 1 202 1 291 2 500 A 4 999 1 3 765 1 877 1 68 CENSADAS CON OTRAS 5 REGISTRADAS SIN HABITANTES a

IXTLANUACAN 39 4 198 2 175 2 0k3 I A 99 7 340 179 1o1 100 A 499 10 2 335 1 228 1 107 1 000 A 2 499 1 1 523 768 755 C.NSA3AS CON OTAAb 12 REGISTRAGAS SIN HABITANTES 9

MANa.NILLO 168 39 811 20 047 19 764 1 A 99 2 125 66 %9 100 A 499 27 7 566 3 962 3 6u4 500 A 999 4 2 899 1 48 1 #419 1 000 A 2 499 3 4 419 2 310 2 109 2 500 A 4 999 1 4 852 2 518 2 334 10 000 A 19 999 1 19 930 9 711 10 239 CENSADAS CON OTRAi 12i6 PEGISTRADAS SIN HABITANTES 4 CUADRO 4 PODLACION DE LOS MUNICIPIOS, I POR GRUPOS DE HABITANTES

HABITANTES

MUNICIPIOS Y GRUPOS DE HADITANTES LUMALIDDE

SUMA HOMBRES MUJERES

MINATITLAN 73 3 ;50 1 64? 1 53 I A 99 35 959 &494 ab 100 A 499 7 1 and - 649 6 9 50O A 99? 1 933 5U4 d429 Cl.NSA3AS CON OTRAS - RE;GISTNAjAS Sliq mdi8TANTES 2g

TECOMAN 142 23 60T 12 242 11 645 1 A 99 79 661 1467 394 100 A 499 6 1 J.?4 680 644 500 A 999 2 1 4i3 74u 6W3 1 000 A 2 499 3 4 117 2 109 2 Od 1 Quo A 19 999 1 16 362 d 246 7 916 CENSAAS CON OTRAS 43 kEGISTRA0AS SIN tiAalTANTES a

VILLA DE ALVAREZ 50 6 258 3 168 3 u9C 1 A 99 36 548 2di 459 100 A 499 9 1 747 911 34 2 500 A 4 999 1 3 963 1 966 1 9v7 CENSAJAS CON OTkAS I RLGISTRAOAS SIN HA8ITANTES 3

NOTA*-DEBEN CONSIDERARSE COMO "CENSADAS EN OTRAS". LAS LOCALIOADESt 0- SEA LOS LUGARCS FOSLACOS CE CuAL2ulER NOMBRE 0 CATZGORIA, GE-- NERALMENTE CON MUY PECUEqO NUMERO DE HABITANYESt CUT SI BIEN -- ESTOS FUERON EMPAORONA00S NO FuE POSMLE ASIGNARLOS AL P03LAOC DONDE FUERON CENSACOS# POR CAUSAS AJENAS A LAS OPICINAS DE LOS- CENSOS NACIONALES. LAS LOCALIDAOES QUE APARECEN SAJO EL CONCEPTO DE "REGIS--- TRAOAS SIN wABITANTES" SCN ACUJELLAS QUJE# SE3UN LOS INTORES QUE LAS AUTORIOaC-S FgUNICIP&LES PFOiCIONARCN -N HOTIVO DE LOS -- TRASAJOS QUE EN 1959 SE HICIERON COMO PREPARATORIOS CE LOS CEN- SOS "EXISTIAN" EN CUANTO A CUE ') ESTABA PROBADA LEGALHENTE SU DESAPARICION 0 NO SE 1NWOREO0 GAACE ELLA POR DIC!'3S AUTORI- DAOES, POR LO CUE SE CONS9DEPO QUE EX!STIAN COMO CASERIOS 0 AGRUPAMILNTOS CE CASAS 0 CHOZAS QJE EN LA FECHA EN CE SE LE--- VANTO EL CENSO GENERAL DE POBLACION NO ESTASAN HADITAOAS. 62 CUADRO 7 POBLACION URBANA Y RURAL, POR SEXO Y GRUPOS DE EDAD 'PRIMERA PARTE

GRUPOS DE EDAD A AOS

MUNICIPIOS v SEXO PODLACION MENOR DE TOTAL I AA0O

DE I A4 DE 5 A 9 DE10 A 14 DE 15 A 19 DE 20A24 DE 25A 29

TOTALES 164 450 5 655 22 193 25 519 20 594 16 366 13 013 10 201 HOMSRES 82 489 2 921 11 4115 12 810 10 543 7 982 6 267 4 930 MUJERES 81 961 2 734 10 778 12 709 10 051 8 3814 6 746 5 271 URBANA 101 640 3 382 13 528 15 656 12 54d 9 958 8 046 6 190 "OI'BRES 49 974 1 769 6 850 7 901 6 408 -4 699 3 758 2 945 MUJERES 51 666 1 613 6 678 7 755 6 140 5 259 4 288 3 245 AURAL 62 810 2 273 6 665 9 863 8 0416 6 408 4 967 4 CIL H0MdRES 32 515 1 152 4 565 4 909 4 135 3 283 2 509 1 985 MUJERES 30 295 1 121 4 100 '4 954 3 911 3 125 2 458 2 026

COLIMA 53 746 1 761 6 988 3 069 6 707 5 604 4 256 3 164 HOS18RES 26 197 904 3 552 4 047 3 413 2 649 1 973 1 483 HUJERES 27 549 857 3 436 4 022 3 294 2 955 2 283 1 681 URBANA 43 518 1 426 5 4i9 6 431 5 258 4 478 3 503 2 544 MOSRES 20 854 731 2 726 3 258 2 651 2 C63 1 595 1 170 MUJERES 22 664 695 2 693 3 173 2 607 2 415 1 908 1 374 RURAL 10 228 335 1 569 1 633 1 449 1 126 753 620 HOMORES 5 343 173 826 789 762 586 378 313 MU.JERES 4 685 162 743 849 687 540 375 307 COMALA 11 512 394 1 598 1 802 1 517 1 139 912 731 HOMRES 5 878 196 832 914 794 574 449 365 MUJERES 5 634 198 766 888 723 565 463 366 URBANA 4 943 145 675 760 696 514 376 271 HOMORES 2 551 79 344 403 376 253 199 137 MUJERES 2 392 66 331 357 320 261 179 134. RURAL 6 569 249 923 1 042 821 625 534 460 MOMBRES 3 327 117 488 511 418 321 250 223 MUJERES 3 242 132 435 531 403 304 284 232 COUIMATLAN 6 375 274 1 162 1 400 1 023 782 618 468 HOMdRES 4 296 139 630 70b 519 392 298 221 MUJERES 4 079 135 532 700 504 390 320 247 URBANA 4 487 146 611 721 528 410 349 256 MOMBRES 2 251 78 328 352 255 207 157 122 MUJEARES 2 236 68 283 368 273 203 192 136 RURAL 3 888 128 551 687 495 372 269 210 HOMBRES 2 045 61 302 355 264 185 141 99 MUJERES 1 643 67 249 332 231 187 128 111 CUAUH7EMOC 13 513 492 1 940 2 282 1 812 1 361 1 086 818 mOMdRES 6 839 246 991 1 098 929 709 558 403 MUJERES 6 674 246 949 1 144 8d3 652 528 415 URBANA 3 765 127 495 616 529 391 298 224 HOMBRES 1 877 68 247 3C2 269 208 154 113 MUERES 1 888 59 248 314 260 183 144 111 RURAL 9 748 365 1 445 1 666 1 283 970 788 594 HOMBRES 4 962 178 744 796 660 501 404 290 MUERES 4 786 187 701 870 623 469 384 3C4 IATLAHUACAN 4 198 130 627 670 579 428 336 261 HOMBRES 2 175 74 331 338 309 217 165 124 MUJERES 2 023 56 296 332 270 211 171 L37 URBANA HOMBRES MU.ERE S RURAL 4 198 130 627 670 579 4128 336 261 HOMBRES 2 175 74 331 338 309 217 165 124. MUERES 2 023 56 296 332 270 211 171 137 MANZANILLO 39 811 1 459 5 320 6 081 4 829 3 765 3 162 2 529 MOMBRES 20 047 762 2 722 3 040 2 499 1 811 1 529 1 220 MUJERES 19 764 697 2 598 3 041 2 330 1 954 1 633 1 309 UR8ANA 24 802 886 3 283 3 714 2 898 2 331 2 031 1 675 HOMBRES 12 229 458 1 646 1 830 1 494 1 097 961 793 MUERES 12 573 428 1 637 1 884 1 404 1 234 1 070 882 RURAL 15 009 573 2 037 2 367 1 931 1 434 1 131 854 HOMORES 7 818 304 1 076 1 210 1 005 714 568 4127 MUJERES 7 191 269 961 1 157 926 720 563 427 CUADRO 7

POBLACION URBANA Y RURAL, POR SEXO Y GRUPOS DE EDAD PRIMERA PARTE

GRUPOS DE EDAD A A 0 S

POOLACION MENOR DE MUNICIPIOS Y SEXO TOTAL I ANO

DE I A4 DE 5 A 9 DE 10 A 14 DE 15 A 19 DE 20A24 DE 25A29

MINATITLAN 3 150 75 450 512 439 341 302 214 HOMdRES 1 647 40 225 26S 225 171 162 11 U PUJERES 1 503 35 225 243 214 170 140 105 URdANA HOWBRES UJE.RE S RURAL 3 150 75 450 512 439 341 302 216 N0P49RES 1 647 40 225 269 225 171 162 1111 MU.JEES 1 503 35 225 243 214 170 140 105

TLCOMAN 23 887 867 3 298 3 691 2 883 2 344 1 901 1 659 HOMIIRES 12 242 442 1 706 1 874 1 433 1 166 923 8371 MUJERES 11 645 425 1 592 1 817 1 450 1 178 978 8221 URBANA 16 162 529 2 574 1 817 2 126 1 450 1 222 998 HOMaRES 8 246 282 1 316 1 438 1 079 700 573 sc PUJERES 7 916 247 1 258 1 37; 1 047 750 649 49C RURAL 7 725 338 724 AJ74 757 894 679 661 MOM8RES 3 996 160 - 390 436 354 466 350 329 14UJERES 3 729 178 334 438 403 428 329 332 VILLA DE ALVAR.Z 6 258 203 810 1 004 805 602 440 355 MOVORES ) 168 118 426 522 422 293 210 166 MUJERES 3 090 85 384 482 383 309 230 189 URSANA 3 963 123 471 597 513 384 265 220 HOPdRES 1 966 73 243 317 284 171 119 102 MUJEftES 1 997 50 2Z8 280 229 213 146 118 RuRAL 2 295 80 339 407 292 218 175 135 HOh8RES 1 202 45 183 205 138 122 91 64 MUvERES 1 093 35 156 202 154 96 84 71 CUADRO 7 POBLACION URBANA Y RURAL, POR SEXO Y GRUPOS DE EDAD SEGUNDA PARTE

GRUPOS DE EDAD SA O S

MUNICIPIOS Y SEXO

DE 30 A 34 DE 35 A 39 DE 40 A 44 DE 45 A 49 DE 50 A 54 DE 55 A 59 DE 60 A 64 OE 65 A 69

7TMALES 8 644 9 117 7 463 5 942 4 862 31 424 3 681 1 793 HOMdRES 4 253 4 498 3 662 3 101 2 471 1 772 1 778 878 MWuERES 4 391 4 619 3 801 2 841 2 391 1 652 1 903 915 URBANA 3 367 5 600 if603 3 679 3 029 2 250 2 377 1 228 kOPdRES 2 581 2 658 2 212 1 826 1 489 1 100 1 075 556 MUJERES 2 786 2 942 2 391 1 853 1 540 1 150 1 302 672 RURAL 3 277 3 517 2 860 2 263 1 833 1 174 1 304 565 HOOMWRES 1 672 1 840 1 450 1 275 982 672 703 322 MUJERES 1 605 1 677 1 410 988 851 502 601 243 COLMA 2 759 2 868 2 369 1 942 1 631 1 282 1 250 719 HOMoRES 1 304 1 359 1 112 932 786 627 563 336 MUJERES 1 455 1 509 1 257 1 XC0 8145 655 687 383 URdANA 2 264 2 346 1 964 1 626 1 365 1 111 1 C81 629 HOWMRES 1 041 1 062 909 763 633 531 462 281 MUJERES 1 223 1 284 1 055 863 732 580 619 348 RURAL 495 522 405 316 266 171 169 90 HOMBRES 263 297 203 169 153 96 101 55 MUJERES 232 225 202 147 113 75 68 35 COMALA 525 623 495 402 311 267 240 132 HOMBRES 264 309 261 209 145 138 107 72 MU.JERES- 261 314 234 193 166 129 133 60 URBANA 212 267 204 165 139 116 110 70 HOMdRES 102 135 113 88 63 49 46 35 MUJERES 110 132 91 77 76 67 64 35 RURAL 313 356 291 237 172 151 130 62 HOMdRES 162 174 148 121 82 89 61 37 MUJERES 151 182 143 116 90 62 69 25 CQQUIMATLAN 430 480 401 31C 251 142 219 76 HOMBRES 223 236 191 190 134 83 109 42 MUJERES 207 244 210 120 117 59 110 34 URBANA 237 226 219 169 139 91 119 48 HOMURES 126 115 88 105 72 53 57 24 MUJERES 111 111 131 64 67 38 62 24 RURAL 193 254 182 141 112 51 100 28 HOMdRES 97 121 103 8S 62 30 .52 18 MUJEFES 96 133 79 56 50 21 48 10 CUAUHTEMOQ 625 672 551 466 362 249 2611 149 MORES 312 346 268 242 185 134 128l 82 MUJERES 313 326 283 224 177 115 133 67 URBANA 167 207 164 129 115 81 78 36 HOMSRES 79 101 75 62 62 39 36 16 MUJERES 88 106 89 67 53 42 42 20 RURAL 458 465 387 337 247 168 183 113 MOMSRES 233 245 193 18 123 95 92 66 -MUJERES 225 220 194 157 124 73 91 47 IXTLAHUACAN 200 239 170 139 112 94 91 32 HOMBRES 100 127 84 82 60 52 43 18 MUJERES 100 112 86 57 52 42 48 14 URBANA -HOMBRES MUJERES- RURAL 200 239 170 139 112 94 91 32 MOMdRES 100 127 84 82 60 52 43 18 MUJERES 100 112 86 57 52 42 48 14 MANZANILL.' 2 272 2 330 1 990 1 508 1 238 771 912 376 HOM3RES 1 li8 1 141 979 803 656 403 455 1814 MUJERES 1 15(4 1 189 1 011 705 582 368 457 192 URBANA 1 443 1 496 1 255 945 762 496 570 241 HOMBRES 708 699 618 473 396 256 270 110 MUJERES 735 797 637 472 366 240 300 131 RURAL 829 834 735 564 476 275 342 135 HOIMdRES 410 442 361 330 260 147 185 74 MUERES 419 392 3714 233 216 128 157 61 GUAU!U I POBLACION URBANA Y RURAL, POR SEXO Y GRUPOS DE EDAD SEGUNDA PARTE

GRUPOS DE EDAD A 0 S

MUNICIPIOS Y SEXO

DE 30 A 34 DE 35 A 39 DE 40A 44 DE 45 A 49 DE 50 A 54 DE 55 A 59 DE 60 A 64 DE 65 A G9

MINATITLAN 1S 153 130 102 83 53 56 22 HOM8RES 83 72 66 64 43 33 32 1Q MUE RES 67 81 64 38 40 20 24 8 UR8ANA HOfWRES MWJEIRES RURAL 150 153 130 102 83 53 56 22 MOM8RS - 83 72 66 64 43 33 32 14 MUJERES 67 81 64 38 40 20 24 8

TECOsAN 1 383 1 414 1 085 835 711 418 477 197 MOM8RES 705 738 553 464 379 235 252 99 MUJERES 678 676 532 371 332 183 225 98 URBANA. 860 840 622 478 1407 249 301 139 HOMBRES 4141 436 320 2!7 218 127 147 72 MUJERES 419 404 302 221 189 122 154 67 RURAl 523 574 463 357 334 169 176 58 HOM8RES 264 302 233 207 161 108 105 27 MUJERES 259 272 23C 1C 143 61 71 31 VILLA GE ALVAREZ 30C 338 272 231 163 148 175 '90 MOM8RES 144 17C 148 15 83 67 89 31 MUJERES 156 16 124 12 80 81 86 59 URBANA 184 21 175 167 102 106 118 65 MOMBRES 84 11 89 78 45 45 57 18 MUJERES 10C 10 S6 8 57 61 61 47 AURAL 116 12 97 71 61 42 57 25 WOMMRES 60 6 59 37 38 22 32 13 MUJERES 51 6 38 3 23 20 25 12

'I

~1> CUADRO 7 POBLACION URBANA Y RURAL, POR SEXO Y GRUPOS DE EDAD TERCERA PARTE

GRUPOS DE EDAD A h 0 S

MUNICIPIOS Y SEXO

NO DE70A4DE?5A 9DE80A 44 DE 85 E70A74E75A 790E80A8 Y MAS INDICADA

1 06C 1 607 TOTALES 1 708 895 713 HOMdRES &44 413 316 555 1 030 527 MUJERES 864 4'32 397 505 URdANA 1 127 638 535 732 1 167 HOKdRES 518 268 233 392 786 MIU*JRES 609 370 302 39C 381 328 440 KJRAL 581 257 178 HOMaRES 326 145 83 213 294 146 MUCRES 255 112 95 115 617 COLIMA 64U 395 291 44n HO9dRES 261 171 111 20d 406 MUJeRES 353 22 IT 232 211 URdANA 55? 352 26C 416 486 HOPORES 221 146 99 191 321 MUJERES 338 206 161 225 16 131 RURAL 85 43 21 24 HOM8RES 40 25 12 17 85 MUERES 45 1 9 7 46 64 127 COMALA 124 61 44 HOMSRES 7C 30 2C 38 91 MUJERES 58 31 24 26 36 URBANA 52 27 17 27 98 HOffbRES 28 11 8 11 71 J4ERES 24 16 9 16 27 29 R"RAL 76 34 27 37 -HOMRES 42 19 12 27 2C MUJERES 34 15 15 1C 2 172 COQUIMATLAN 71 35 24 MOMBRES 31. 20 11 1 107 MUJERES 4C 15 13 17 65 35 24 16 14 127 URBANA 73 H0MdRES 12 13 9 4 MUERES 23 11 7 54 RURAL 36 11 8 1- - HOMdRES 19 7 2 8 34 MUJERES 17 a 7I so 92 CUAUHTEMOC 125 58 62 HO~dRES 66 25 36 27 54 MUJERES 59 33 26 23 38 URBANA 41 24 29 1C i MOMBRES 21 5 16 2 2 20 19 13 8 2 MUJERES as RURAL 84 34 33 4C HOMdRES 45 20 20 25 52 MUXERES 39 14 13 15 36 IXTLAHUACAN 42 13 11 HOMoRES 2C 6 1 2 MUJRES 22 5 URBANA HOI'dRES MUJERES 13 RURAL 2 1312 HOMSRES 2C a 6 6 11 MUJERES 22 5 4 2 29C 273 MANZANILLO 370 169 167 HO'dRES 213 77 7 17 130 MUJERES 157 92 89 113 93 URBANA 222 110 128 122 1-4 HOMBRES 122 44 67 62 125 69 MUJERES 100 66 61 6 16a 79 RURAL 148 59 39 HOMdRES 91 33 11 115 5 MUJERES 57 26 28 53 24 CUADRO 7 57 POBLACION URBANA Y RURAL, POR SEXO Y GRUPOS DE EDAD TERCERA PARTE

GRUPOS DE EOAD A A O S

MUNICIPIOS Y SEKO

DC 05 NO E 70A 74 DE75A 79 DE 8A 4 Y MAS INDICADA

HINATITLAfl 19 16 13 13 5 HOMBRES 12 10 4 a 3 UUJERES 7 6 9 5 2 URaANA IAWERES RURAL 19 16 13 13 5 HOMeRES 12 10 4 a 3 MUJERES 7 6 9 5 2

TECOMAN 205 99 7d 92 250 MOMaRES 117 55 34 39 191 MUJERES 8 44 U4 559 URdANA 136 64 55 78 217 165 HOY,3RES 75 37 19 36 IUJERES 61 27 36 42 52 RURAL 69 35 23 14 33 Or8RES 42 18 15 3 46 %UJXRES 27 17 6 11 7 VILLA DE ALVAREZ 104 49 34 7C 58 HOP-DRES 54 17 16 40 37 MUJERES 50 32 18 30 21 UReANA 82 37 30 65 41 HOPBRES 39 12 15 36 29 MUJERES 43 25 15 29 12 RURAL 22 12 4 5 17 .HOM3RES 15 5 1 4 8 MUJERES 7 7 3 1 9 CUADRO 9

LUGAR DE NACIMIENTO

LUGAR DE NACIMIENTO

MUNICIPIOS Y SEX 0 S U M A

PAISES LA ENTIDADENDTRAS EXTRAN- ENTIADESA JEROS

TOTALES 164 450 119 20d# 44 741 501 MOMSAES 409 $9 540 22 65Y 211 MUJERES 81 9b1 ;9 668 22

COLIMA 53 746 39 171 14 3561 419

6 962. NOMdRES 26 197 19 1J3 131 7 AUJERES 27 549 20 0# #3 393. *d

COMALA 11 512 10 4-i 5 1 004 13

H0?'RES 5 67a8 5 336 534 8 MUJEAES 5 634 5 1>9 470 5

COQUIMATLAN 8 375 6 712 1 654 9

HOMBRES 4 296 3 .107 'i AUJERES 4 079 3 3)5 7*9 6 885

CUAUHTEIMOC 13 513 11 619 1 865 29

iM4dRES 6 8J9 5 851 971 16' MUJErES 6 674 5 768 893 13

IXTLAHUACAN 4 198 3 057 117 '4

MOMSRES 2 175 1 577 589 MUJEKES 2 023 1 480 15

MANZANILLO 39 811 44 104 15 494 133

M086ES 20 047 12 055 7 91.4 50 MUJErPES 19 764 12 149 7 5)

MINATITLAN 3 150 2 790 3661 4 3 M0HMdES 1 647 1 465 179 1 503 1 345 1771

TECOMAN 23 887 13 446 a 361 4 HOMBRES 12 242 7 bo2 3147 33 .4 MUJERES 11 645 7 58' 034 27

VILLA DE ALVAREZ 6 258 5 734 514 10

3 16d 2 644 270 6 MUJERES 3 090, 2 8o 23W 4 CUADRO 10

ENTIDAD FEDERATIVA DE NACIMIENTO

H A BITANTE 3

MUNICIP10_

SUMA HOMBRES MUJERES

Ts TOES 163 949 d2 19I9 at 750 TOTAL NACI005 ENS AGUASCALIENTES 224 132 92 BAJA :ALIFORNIA 306 159 147 BAJA CAL.IFORNIA To SuR 322 166 156 CAMPEtHE 703 369 334 COAHJILA 608 313 29, CoLIMA 119 208 59 b40 b9 66d CMIAPAS 224 117 107 CMIA4AHUA 614 336 27d DISTRITO FEDERAL 547 2d3 264 DWRAN30 216 118 90 G0ANA JUA TO 455 252 203 GUERRERO 40d a17 185 HI10ALGO t26 74 52 JALIS 0 25 567 1Z 514 13 053 MEXICO 627 338 289 MIC4OACAN 9 085 4 4d5 4 600 MORELOS 76 46 30 NAYARIT 273 1,49 124 14JEY0 L4ON 181 100 di OAXACA 310 201 109 PJE3LA . 163 95 60 QUERETAK0 57 45 4t QUINTANA ROO 11 7 4 SAN LUIS POTOSI 186 102 64 SINALOA 296 139 157 SONORA 142 68 74 YABASO 46 26 20 TAMAoLIPAS 258 147 111 TLAXCALA 24 114 10 VERACRUZ 505 307 198 YUCATAN 54 37 17 2ACATICAS 336 195 141 ENTIOAD NO INDICADA 1 767 1 108 664 COLIMA 53 527 2b 066 27 461 TOTAL NACIDOS ENS AGUASZALIENTES 109 *4 45 BAJA ^ALIFORNIA 112 53 59 BAJA CALIFORNIA T. Su4 122 68 514 CAMPILHE 164 d7 77 COA4UILA 284 1,44 140 COLIMA 39 171 19 103 23 060 CHIARAS 29 14 15 . CNI1ue.tUA 53 28 25 DISTKIT0 FEDERAL 192 98 94 OURANGO 61 56 25 GUANAJUATO 198 122 76 GJERAERO 103 57 46 HID. 0 65 38 27 JALISCO 8 576 4 056 4 520 MEX100 390 209 161 KICP40ACAN 2 552 1 173 1 379 MORELOS 26 16 10 NAYAAIT 97 50 47 NEVO LEONl 86 46 40 OAXACA 73 49 24 PJE3LA '90 45 45 QUERETARO 37 16 21 QUINTANA ROO 3 1 2 SAN LUIS POTOSI 60 32 28 SINAL.OA 130 58 72 SONORA '57 - 28 29 TABASO 12 6 6 TAMAULIPAS . 66 35 31 TLAXCALA 16 9 7 VERACRUZ 126 71 55 YUCA7AN 19 14 5 ZACATECAS 104 61 43 ENTIQAD NO INWICAOA 344- 179 165 CUADRO 10 67

ENTIDAD FEDERATIVA DE NACIMIENTO

HA 01TANTE S

MU NICIPIOS

$UMA HOMAORCS MUJERES

COMALA 11 499 5 b70 5 629 TOTAL NAC104S E41 AWAb^AL.IETES 4 1 BskJA CALIFORNIA 3 2 1 LiAJA :ALIFORNIA T. Sui- 7 5 2 CAMPi.HG 33 19 14 COAAJILA 14 7 7 COLIMA 10 495 5 356 5 159 CHIAPAS 1 1 CM14JAHUA 4 2 2 DISTITO FEUEKAL 6 4 2 DJkANriO 3 1 2 Gut.RAERO 3 2 1 JALISCO 795 415 30 MXICO £4 1 3 MIC4OACAN 32 18 14 NAYARIT 2 1 1 NUEVO LEON 5 2 .3 SINA4OA 2 2 TAMAWLIPAS 3 1 2 VLRAGRUZ 2 2 ZACAVECAS 2 2 ENTIZAD NO INDICADA 79 50 29

COQUIMATLAN 8 366 4-292 4 074 TOTAL NACIDOS ENI A6UAS.AL!ENTES 6 6 BAJA ^ALIFORNIA 6 5 1 BAJA CALIFORNIA T. SUR 10 7 3 CAMPf;HE 108 57 51 COApiUILA 13 6 7 COLIM4A 6 712 3 407 3 305 CH4APAS 23 11 12 CHIDUAHUA 4 2 2 DISTRITO FEDERAL 8 4 4 DJRAN3O 3 1 2 GUANAJUATO 6 a 2 GUEArKERO 2 2 14DALIO 1 1 JALISO 1 085 549 536 MEXICO 12 7 MICAOACAN 125 09 56 NAYARIT 9 5 4 NVEY LEON 7 3 4 OAXACA 6 1 5 PUE-r.A 3 3 QUERETARO I I SAN LUIS POTOSI a 6 2 SIN60A 3 1 2 TAMAULIPAS 3 2 1 VERACRUZ 5 4 1 YUCATAN 1 1 ZACATECAS 5 4 4 ENTIQAD NO INOICAOA lbs 125 b3

CUAUMTEMOC 13 4814 6 623 6 661 TOTAL NAC100S ENI AGUASZA61eNTES 1 BAJA CALIFORNIA I BAJA CALIFORNIA To SUR 19 10 9 CAMPECZH 53 32 21 COA#4LILA 45 21 24 COLIMA 11 619 5 6i51 5 76d CHIAPAS 35 16 19 CHIHUAHUA 12 6 6 DISTRITO FEDERAL 20 9 11 CURAN.A0 3 2 1 GJANAJUATO 12 6 6 GUERRERO T 3 4 HIDALGO 2 2 %JALISC0 773 396 377 68 CUADRO 10

ENTIDAD FEDERATIVA DE NACIMIENTO

HADITANTES

MU.NICIPIOS

SUMA HOMBRES MUJERES

W.Alu&0 55 ?%IC$0CAN 109 54 MRELOS 7 5 2 NmYARIT 8 3 NJEVO LEON 5 2 3 OAXACA I PUESLA 3 2 0ERETARO 3 1 2 SINALOA 2 1 1 SONORA 3 1 g TAMAUIPAS I 1 TLAXCALA I I VERACRUZ 23 11 12 YOCATAN 1 1 ZACATECAb 1 1 ENTIOAD NO 1tOICADA 709 383 326

IXTLAHUACAN 4 174 2 166 2 008 TOTAL NAC200S ENV BAJA CALIFORNIA To SUR 6 0 COAAUILA 1 1 COLIMA 3 057 1 b77 1 46u CHIAPAS 14 12 2 DISTRITO FEDERA6 2 1 1 GUERRERO 3 2 1 JALISCO 200 114 ~ 6 MEXICO 1 1 MICAOACAN 883 453 430 -NAYAkIT 1 1 00ERETAN0 I I SONORA 1 1 TAMAVLIPAS 1 1 ENTIOAO NO INDICADA 3 21

MANZANILLO 39 678 19 967 19 711 TvTAL NACIOS ENs AGUASCALIENTES 42 30 12 8AJA CALIFORNIA 163 90 73 BAJA CALIFORNIA T. SUR 85 46 39 CAMPE:HE 49 24 25 COAAUILA 119 64 55 COLIMA 24 184 12 055 12 129 CHIAPAS 31 19 12 CHIMrA HA 519 2d2 237 DISTAITO FEDERAL 235 128 107 -CRAN30 46 26 20 GUANAJUATO 152 78 74 GuEARERO 247 L35 112 HIDALGO 37 23 14 JALISCO 9 774 4 760 5 014 M.XICO 159 0 70 M4ICAOACAN 2 271 1 146 1 125 MORELOS 31 18 13 NAYARIT 107 58 49 NJEVO LEON 40 20 20 OAXACA 224 146 78 PUEaL A i0 35 15 QOERETARO 24 14 10 QJINTANA OO 8 6 2 SAN LVIS POTOSI 34 18 16 SINALOA 134 69 65 SONORA 60 27 33 TASAS.O 31 19 12 TAMAULIPAS 160 91 69 TLAXQALA 7 5 2 VWRACRUZ 289 1s1 10 YJCATAN 22 15 7 ZACATECAS b2 47 35 ENT1040 NO INOICAQA 262 203 s9 CUADRO 10

ENTIDAD FEDERATIVA DE NACIM IENTO

HABITANTES

MUNICIPIOS

SUMA HIOMURES MUJERES

4INATIT1.AN 3 146 i 644 1 5o TOTAL NACIL0S E.41 BAJA CALIFORNIA 1. SUR 1 1 CAMPiEHE 1 1 COAHOILA I COLI4A 2 790 1 45 1 325 DISTRITO FEDERAL 5 3 a DRA.io 7 3 4 GUA4AJUATO GJERRERO 1 JALIS:O 254 134 l2o PixICO I I MICHOACAN 54 17 37 MORELOS 2 1 1 NAYARIT 1 1 'WjEVO LEON 12 7 5 VERACRUZ 4 3 1 YUCATAN 2 1 1 ENTIOAD NO INDICADA 9 6 3

TECOMAN 23 827 12 209 11 616 TOTAL NACIDOS ENI AGUASCALIENTES 61 30 31 BAGjAkCALIFORNIA 21 9 12 BAJA CALIFORNIA To SUR 63 26 37 CAMPECHE 269 147 142 COANUILA 122 64 58 COLIMA 15 446 7 b62 7 5S4 CHIAPAS 57 24 33 CHIHUAHUA 22 16 6 DISTRITO FEDERAL 79 36 - 43 DJRAN30 93 49 44 GUA4AJUAT0 55 42 43 G'JERRERU 36 16 20 HIDAL 0 21 10 11 JALISCO 3 746 1 910 1 83b itiXC0 54 28 26 MICHOACAN 3 032 1 538 1 494 MORELOS 10 6 4 kAYAIIT 48 31 17 NJEVO LE04 25 20 5 OAXACA 6 5 1 PuEBLA 17 10 7 QUERITAK0 21 12 9 SAN LUIS POTOSI 84 46 38 SINALOA 24 10 14 SONORA 21 11 10 TABASCO 3 1 2 TAMAULIPAS 22 16 6 VLRACRUZ 55 37 1 YUCATAN 9 6 3 ZACA7ECAS 13a do 56 ENThI0D WO INDICADA 117 111 6

VILLA DE ALVAREZ 6 248 3 162 3 Oso TOTAL NACIOS Eiv I AfAUAaCALE NTES 1 1 BAJA CALIFORNIA To SjR 9 3 6 CAPrC.HE 6 2 4 COA4UILA 9 5 4 COLIMA 5 734 2 ed4 2 850 CHIAPAS 34 20 14 GUANAJUATO 1 1 JALISCO 364 160 184 wXICO 1 1 HIC4oACAN 27 17 10 NUEVO LE(M I I SINALOA 1 1 TAMAULIPAS 2 1 1 VERACRUZ I I ZACATECAS 1 1 ENTIAD NJ INUICAaA 56 49 7 96 CUADRO 19

POBLACION ECONOMICAMENTE ACTIVA E INACTIVA

A C T I V A INACT VA

MUNICIPIOS Y SEXO DE 8 A 1I AR03 DE 12 AROSYMAS .ESCOLARES,

3 UMA DESOCUPADO$ S U M A QUEHACERESCOLEGIALES, OTROS DESO- DOMESTICOS Y ESTUDIAN- OCUPADOS CUPADOS OCUPADOS HASTA 12 13 SEMANAS TES SEMANAS Y MAS

TOTA6ES 49 832 275 A 49 813 64I 99 70 5:8 444 459 12 184 13 9;$ tioRES, 40 305 214 2 39 433 569 87 19 698 6 597 13 !. MUERES 9 527 61 2 9 38C 72 12 50 60 44 459 5 587 e.' COLIMA18 141 60 17 839 206 36 21 829 13 650 6 -644 2 1 H0MbRES 13 965 46 13 704 182 33 5 270 3 290 1 5. MUJERZS 4 176 14 4 135 2&4 3 16 559 13 650 2 754 155 CO1A.L.A 3 764 26 1 3 660 73 -4 4 620 3 008 1 231 3.1 HOMSPES 3 224 20 3 132 68 4 1 031 669 >a, MUERES 540 6 1 528 5 3 589 3 008 562 COQGI MATLAN 2 745 16 2 685 38 6 3 304 a 276 1472 5!t HOv3RES 2 345 14 2 291 34 6 754 286 1.,11 M4JERES 400 2 394 4 2 550 2 276 186 14I CUAUKTEMOC 4 217 23 4 167 26 1 5 409 3 309 1 1433 6t' HomgRES 3 529 16 3 487 25 1 1 373 748 62i5 u JERiS 688 7 680 1 4 036 3 309 685 '2 IXTLAWUACAN' 997 8 975 13 1 2 045 1 251 149 6.. HOMBRES 949 7 929 12 1 631 78 553 MUJERES 48 1 46 1 1 414 1 251 71 ;i P-ANZANILLO 11 577 97 2 11 241 198 39 17 504 11 208 1 817 4 4'11 HOPRES 9 368 70 1 9 094 170 33 5 199 953 4 2ItI MUJERES 2 209 27 1 2 147 Z28 6 12 305 11 208 86 233 1INATITLAN 823 12 805 6 1 '476 967 47 HOMSRES. 748 11 732 5 465 27 433' MvJERES 75 1 73 1 1 011 967 20 iI TEC5MAN 5 639 2u 5 554 55 6 11 686' 6 877 873 3 9.7* HOMORES 4 583 21 4 506 50 6 4 250 472 3 8: MUJERES 1 056 3 1 048 5 7 406 6 877 401 IM VILLA DE ALVAREz 1 929 9 1 1 887 6 2 685 1 913 118 654 HOM3RES 1 594 9 1 1 558 3 695 7I 62: MUJERES 335 329 3 1 990 1 913 44 33

N0TAv..(1 COMPRENDE A LAS PERSONAS OUE VIVEN EN INST DE RECLUSIC BENEFICENCIA A LAS QUEP"RCI8EN INSRESOS NO 'TES OEL TRA, NIROS CUE# OENTRO DE LAS EDADES COsRENDIOAA UADRo, No AS: LA ESCUELA# ANCIANASo INCAPAPACITADAS PARA TR.A ETC* CUADRO 20 97 PUBLACION ECONOMICAMENTE ACTIVA E INACTIVA DISTRIDUCION PORCENTUAL

A C T I V A INA CT IV A

MUNICIPIOS Y SEXO -DE 8 A II AAIOS DE 12 ArOS Y MAS JESCOLARE S. S U M A DESOCUPADOS SUMA QUEHACEREs COLEGIALES oR Os DESO- OMESTICOS0 Y ESTUOIAN- OCUPADOS CUPADOS OCUPADOS HASTA 12 13 SEMANAS IES SEMANAS . Y MAS

TOTALES 30.3C :17 .00 29.68 0.9 .06 42.90 27.03 7.41 Ss.'t HOMBRES 24.51 .13 .0C 23.98 .35 405 11.98 .00 4.01 7.;1 MUJERLS 5.7C 40s .0 5.70 e4 .01 30.92 27.03 .. 40 4"

COLIMA 33.7 ,12 .00 33.19 038 .07 ~U0.61 25.40 1112U 3.9' HOMBRES 25.99 .09 .00 25.50 .34 m06 9.80 .00 6*12 3.61 MUJERES 7.7 s03 .00 7.69 .041 .01 30.81 25.40 5.12 *2; COMALA 32.6 .22 .01 31.80 .63 .03 40.13 26.13 10.69, 3.31 MG?43RES 28.0C e17 .00 27.21 .59 403 8.95 .00 5.Sl 3*1- MU.JERES 4s69 .05 .01 4o591 .04 .00 31.18 26.13 4.881 1' COGUIMATLAN 32,78 .19 .00 32.06 .46 .07 39.45 27.18 Ss631 6.o6( 254013m.RES .17 .00 - 27.3t .41 .07 9.00 .00 3.41 55 MU.JERES 4.77 .02 .00 4.70 *05 000 30.45 27.18 2.22 1.05 CUAWTEMOC 31,21 .17 .00 30.83 .20 .01 40.04 24.49 10.61 4.94 HOM3PES 26.12 .12 00 25.80 .19 .01 10.17 .00 5.54' 4.63 XU.ER:1 5.09 .05 .00 5.03 601 *00 29.87 24.49 5.07 .31 IXTLAHACAN 23.75 .19 .00 23,23 .31 .02 u8s71 29,80 3.55 15.36 HOM8PS 22.61 017 .00 22.13 .29 .02 15.03 .00 1861 13.17 MUJERES 1.14 .02 .00 Ie IC2 .a .00 33.68 29.80 1:69 291; MANZANILLO 29.04 .25 .00 28.23 .,i0 .10 43.97 28.15 4.56 11.26 HOMSRES 23.53 .18 00 22.84 043 .08 13.06 .00 2039 10667 MUJEPES 5.55 407 .00 5*39 .07 ,02 30.91 28.15 2*171 .59 MINATITLAN 26.13 .38 000 25.56 .19 .00 46.85 30.70 1.49 14.66 MOMORES 23.75 .35 .00 23.24 .16 .00 14.76 .00 .36 1309. MUJERES 2038 003 00 2.32 .03 .00 32.09 30.70 .63 o7t TECOMAN 23.61 .10 .00 23.25 .23 .03 48.93 28.79 3.56 16.46 OM3RES 19.19 .09 .00 18.86 .21 a03 17492 .00 1.98 15*9' MUJERES 4.42 .01 .00 4.39 .02 .00 31.01 28.79 1.68 151. VILLA DE ALVAREZ 30.84 .14 .02 30.16 .42 .10 42.90 30.57 1.88 10045 -OM8RES 25.48 01'4 02 24.9C .7 005 11.10 000 1.18 9.92 MUJERES 5.36 .00 .00 5o26 .05 .05 31.80 30.57 .70 053 110 CUADRO 22 POBLACION ECONOMICAMENTE ACTIVA, POR GRUPOS MAYORES DE OCUPACION PRINCIPAL Y RAMA DE ACTIVIDAD

OCUPADOS OUREFOS,ARTESANOS PROFES10- PERSONAL EN AGRICUL- ODREROS. Y JONALERCS OCUPA- NISTAS Y OFICINISTAS VENECORES TURA,GANA- ARTES/ S EEN EL ROCE SO EXCEPTO C R~A~/~ OEDE LA PRODUCCiON MUNICIPIOS. RAMA DE ACTWIAD TECNICOS EN TODAS EN TODAS LDERIA.SILVI- Y JORNALE- DE HIENES Y SERVICIOS ; NAL EV SUMA ENTODAS TUAGANA- LAS RAMAS LAS RAMAS CLLTURA,CA- ROS OCUPA- SEXO LA AM DRIA SILV- IN7 VLOA-04 LAS RAMAS DERIAILVI- DE ACTIVI- DE ACTIVI- iA Y PESCA DOS EN IN- OIRECTA- DE ACTIVI- DAD DAD INCLUYENDO DUSTRIAS EXIMENTE Y LOS NO 0GREC- S DAD ULTURA,CA I 'PERSONAL TRACTIVAS ECONDU TAMENE4 ZA Y PESCA EN VEHi-CU. - ALES, OfRECTIVO LOS i ~ ~~.1 ~ ~ 1 , . CIALESi TUTAtES 49 832 1 998 446 2 730 4 066 26 561 487 7 310 I 1631 5 071 OMSMES '30 305 1 064 379 1 898 2 762 24 039 460 6 542 1 081 2 c 80 MUJERES 9 527 934 67 832 I 3,4 2 52.2 27 768 82 a "91 A(RIC.4ANA0.SILViCs Y PESCA .6 855 86 124! 102 26 505 38 MCM3RES 24 195 74 451 55 24 003 18 MUJERES 2 660 12 79 47 2 502 INDUsTNIAS EXTRACTIVAS 586 40 21 39 8 HOMBRES 547 37 21 32 7 7 MUJERES 39 3 7 1 INDJSTRIAS TRANSFORMACION 4 593, 112 50 179 270 3 733 169 80 HOMBRES 3 84a 97 47 134 212 3 167 154 33 MUJERES 749 15 31 45 58 566 I5, 4.7 INWUSTKIA CONSTRUCCION 1 9251 41 15 54 3 1 453 323 PMN RES 1 855 35 13 51 3 1 427 315 11 MUJERES 70 6 2 3 26 8 25 LLECTRXIOA , GASt ETCe 129 4 4 32 68 191 I HOMBRES 120 4 3 26 67 19 MUJERES 9 1 6 1 COMERC10 4 206 75l 129 295 3 511 1 HOMB5ES 123 33 2 856 66 81 196 2 361 108 30 1 MWERES 350 9 48 99 1 150 15 3 261 TKANSPORTES 2 084 27 3 331 4 1 382 296 41 1 973 23 3 267 4 1 352 291 33 MUJERES all 4 64 30 51 btRVICiOS G 377 1 581 208 I 412 164 330 208 4 474 HOMKBES 4 155 705 198 987 117 222 180 1 741, MUJERES 4 222 876 10 425 47 108 28 INSUICIENTEENTE ESPECIFICs 2 7238 1 077 32 16 264 3 56 221 115 353" HOM ES 760 23 13 160 -2 36 199 92 218 MUJERES 317 9 3 104 20 22 23 135 CC.IMA 141 1 096 224 1 472 1 924 6 000 3 859 474 2 92A NOMBRES 647 185 1I 038 1 297 5 533 3 476 4301 I 271t mUJERES T6 449 39 434 627 547 383 44 A6RIC&G&ANAD.51LVIC* T PESCA ?7 42 33 51 6 041 * OMSRES S592 38 15 23 5 512 MUJERES 4 is' 28 529 -81 INDUSTRIAS EXTRACTIVAS 159 20 15 24 4 HOM15KES 151 19 15 21 4 MUJERES 1 3 INDJSTRIAS TRA'S 'RMACION 2 524 72 32 84 141 2 067 80 H OM~BRES .5 2 127 62 31 62 105 1 776 77 MUJER S 397 10 1 22 36 291 3 4 INDJSTKIA CONSTRVCCION 1 074 28 2 27 1 852 149 HOMBRES 1 040 24 2 25 1 839 144 7 MUWERES 34 £4 2 13 0 ELECTRIC10AD, GAS# ETCs 52 2 7 34 6 ' OMBLS - 50 2 6 34 6 MUJERES 2 1 COMERCIO 2 041 43 79 146 1 662 66 2; 23 HMoKES 1 383 38 47 98 1 117 59 17 MUJERES 658 S 32 48 9 31 16, TKANSPORTES 751 11 160 ~1) 508 52 19 F08mE b 695 11 126 1' 493 £49 MUE 'E 56 34 15 3 SERVIC105 4 612 858 87 851 63 157 92 2 504 MOMUKES 2 408 439 81 602 45 117 79 MUEKES 2 204 419 6 249 18 40 131 459 INSUFICIENTEMENTE ESPECIFICe 751 20 140 39 173 75 a76I - HOMSKES 519 14 83 21 158 58 17'?1 MUJERES 232 6 57 18 15 171 1197 COMA.A 3 764 106 21 41 15" 3 064 176 24 149 16 HOMSKES 3 224 24 2 20 12. 2 835 130 24 19 MUJERES 540 82 21 35 229 38 130 AMkiC*(ANADs51LVIC@ Y PESCA 3 079 .1 12 2 3 064 HOMSKES 2 838 :2 2 835 MUJERES 241 12 229 INCDSTRIAS EXTRACTIVAS 46 HOMBRES 41 MUJERES -5 1NDUSTRIA5 TRAN3FORMACION 110 102 HOMBRES 85 80 MUJERES 25 22 INDUSTRIA CONSTWUCCION 42 29 13 HOMBRLS I2 29 13 MUJERES CUADRO 22 -m POBLACION ECONOMICAMENTE ACTIVA, POR GRUPOS MAYORES DE OCUPACION PRINCIPAL Y RAMA DE ACTIVIDAD

OCUPADOS OBREROS, ARTESANOS OCUPAOS PERSONAL E CULO R Y JORNALEROS OCUPA- CON EMU PROFE30 EN AGRICUL- OORRROS, DOS EN EL PROCEO fiER ICO NISTAS Y DIRECTIVO OFICINISTAS VENDEDORES TURA,GANA- ARTESANO DOSLNPRO g .CCIEO

MUNICIPIOS, RAMA DE ACTIVIDAD TECNiOS Eh; ACRCUL- EN TODAS EN TO)A- 1OLRIA, SILV- Y JOfNtJALC- DE BIENES Y SERVfCIOS PERSONALES SSAAEX, S'UMA ENTOUAS LAS RAMAS LAS RAMAS CULTURA, CA- Rn OCUPA- HOI;ARE' , Y SEXO LAS RAMAS TERA. SGLVA- OE ACTIVI- DE ACTIVI- ZA Y PESCA DOS3 Ell IN- DIRECTA- NES UCEM- DE ACTIVI- ' DAD DA D 1lhCLUYENDO00SjTRIAS EX MENTEY LO11 NO DIREC. PRESA S DE DAD CULTURA,CA PERSONAL TRACTIVAS OUE CONOU- TAMENTE SERP'UCIOS ZA Y PESCA CEN VEHICU- PERSCNALES. DIRECTIVO RECRE ATIVOS - .. LOS 0 SOCIALES LLECTRICIOADI GAS. ETC. 18 11 7 HOMBRE$ 16 9 14UERES 2 COERIO142 141- HOM13RES 80c2 109 MUiERtEs 32 32 IMANSPORTE S 27 26 1 KNOIRES 26 26 MUJERES 1 SERVICIGS 28US- 103 1 10 6 19 2 145 HOMSRES 59 23 1 a 5 3 is1 MUJERES 226 0 HOMBRES 2 1 7 3 16 3 1271 MUJERES - & 1 5 1 1

COQUIMATLAN 2 745 69 1 28 03 2 320 32 107 25 80 HOMSRES 2 345 i5 16 62 2 116 29 72 25 10 MUJERES 400 54 1 12 21 204 3 35 70 AGRICeGANAO,,SILVICe Y PESCA 2 335 9 2 2 320 4 NOMBRES 2 120 2 2 116 2 MUJEKES 215 9 204 2 INOUsTRIAS EXTRACTIVAS 331 32 HOMBRES 301 29 MUJERES 3 3 INDJSTRIAS TRANSFORMACION 65 3 3 59 HOMBRES 41 3 2 36 MUJERES 241 23 INWSTRIA CONSTRUCCION 22 17 5 HOMBRES 22 17 5 MUJERES ELECTRICIDAD, GASe ETC* 1 1 HOMSKES I MUJERES CQMERCIO 86 1 1 2 81 , HOM8RES 63 1 1 60 1 MUJERES 23 1 1 211 TRANSPORTES 39 9 15 14 1 HOMBRES 38 9 15 14 MUWERES 1 SERVICIOS 154 64 4 12 1 7 HOMBIRES 22 10 3 1 81 MUJERES 132 54 1 12 65 INSUFICIENTE1,ENTE ESPECIFICe 10 1 3 4 2 HO'BRES . 1 3 4 MUJERES 2 2 CUAUHTEMOC 4 217 175 6 44 200 3 115 80 382 55 158 HOMBRES 3 529 56 6 24 158 2 13 75 322 55 22 MUJERES 688 119 2 20 42 302 7 60 136 A6RjC.GANADeSILVICe Y PESCA 3 ISO 13 18 OA 3 114 1 HOMBRES 2 828 11 4 2 812 1 MUJERES 322 2 18 302 INDUSTRIAS EXTRACTIVAS 85 4 1 80 MOMBRES - 77 3 1 73 MUJERES 8 1 7 INDUSTRIAS TRANSFORMACION 333 1o 3 33 257 25 5 HOMBRES 289 7 2 31 222 25 2 MUJERES 44 3 1 2 35 3 INDUSTRIA CONSTRUCCION 72 2 57 13 HOMRES 71 2 56 13 MU.JERES I I LLEGTRIC')AOl GASt ETC* 2 1 1 HOMBRES 1 1 MWERES 1 1 COMRCIO 166 3 3 157 3 HOMBRES 126 3 3 117 3 MUJERES 40 40 TMANSPORTES 58 9 32 15 2 HOMBRES 56 9 32 15 MUJERES 2 2 SERVICIOS 336 142 1 11 6 27 1 148 HOM8RES 67 29 1 10 6 3 1 17 MUJERES 269 113 1 24 131 INSUFICIENTEMENTE ESPECIFIC* 15 1 4 1 6 1 2 HOMBRES 44 1 3 1 6 1 2 MUJERES 1 1 132 CUADRO 27 FAMILIAS CENSALES (ACEPCION MEXICAINA) SEGUN EL NUMERO DE SUS MIEMBROS PRIMERA PARTE

NUMERO DE MICMBROS DE LA FAMILIA

TOTAL MUNICIPIOS FAMILIAS DE MIEMBROS 2 3 45 7

6 160 3 095 2 690 TOTALES 31 081 162 437 4 746 4 216 4 024 795 COLIMA 9 569 52 811 1 483 1 27C 1 258 1 776 901 330 221 202 COMALA 2 211 11 386 351 338 321 1 627 8 307 250 206 194 364 168 134 COQUIMATLAN 246 CUAUHTEMOC 2 337 13 427 344 322 276 305 247 149 94 76 IXTLAHUACAN 803 4 197 102 L02 114 679 MANZANILLO 8 230 91 1 303 1 141 1 0 820 71 65 56 MINATITLAN 524 3 1204 67 69 61 989 459 401 TECOMAN 4 548 23 675 673 623 622 120 101 VILLA CE ALVAREZ 1 228 6 238 173 145 151 282

4i~ CUADRO 27 FAMILIAS CENSALES (ACEPCLON MEXICANA) SEGUN EL NUMERO DE SUS MIEMDROS SEGUNDA PARTE

NUMERO DE MIEMOROS DE LA FAIAILIA

MUNICIPIOS

DE 10 Y MAS

TOTALES 2 164 1 653 2 333

COLIMA 648 543 44% COMALA 1865 116 147 COGUIMATLAN 114 95 t06 CUAUHTEMCC 212 159 2.( IxTLAHUACAN 65 40 hi MANZANILLO 515 38o 47% MINATITLAN 53 34 le TEC!;MAN 288 207 dash VILLA DE ALVAREZ 84 79 93

4

-Ve 134 CUADRO 28

PARENTESCO, RELACION 0 VINCULO CON EL JEFE DE LA FAMILIA

PERSONAS CON VINCULO MARITAL

MUNICIPIOS Y SEXO POBLACION JEFES HIJOS OTROS PA- SIN PA- PAREN7ES- PERS^AS TOTAL DE FAMILIA 0E F RENTESCOS RENTESCO N O SCLAS SUMA CASADAS LiBRE S U MACAADASEN UNION

TuTALES 164 450' 31 01 24 400 21 735 2 665 91 109 11 788 2 160 1 899 :33 HOMBRES 82 489 26 666 554 526 28 F47 3U9 4 927 906 792 . s MUJEPES 81 961 4 115 23 346 21 231 2 637 '43 760 6 861 1 254 1 107 -'4 CQLIMA - 53 746 9 56Q 7 276 6 532 744 28 Q56 4 314 1 381 1 315 ;35 XOMWRES 26 197 7 855 17c 163 7 14 736 1 658 624 55t 63 4UJERES 27 549 1 714 7 1C6 6 364 737 14 22n 2 656 757 764 332 COMALA - 11 512 2 211 1 764 1 717 47 6 762 560 84 5 126 HCPSRES 5 878 1 957 7 7 3 597 232 18 4 63 MUJERES 5 634 2514 1 757 1 710 47 3 165 32d 66 1 63 CoUUIKATLAN - 8 375 1 627 1 270 1 159 111 4 P55 516 27 12 68 HOMBRES 4 296 1 4405 23 23 2 589 232 8 6 33 MUJERES 4 079 222 1 247 1 136 111 2 266 284 19 6 35 CUAuLTE'4CC 13 513 2 337 2 137 2 e 83 54 a 098 788 60 7 16 HOMaRES 6 839 2 077 lo1 99 2 4 252 322 20 3 4 U,.iERES 6 674 260 2 036 1 944 52 3 846 466 40 4 IATLAHUAOAN - 4 198 803 6U0 609 31 2 525 213 11 5 1 HOMWRES 2 175 708 1 354 104 5 3 1 MuJERES 2 023 95 640 609 31 1 171 109 6 2 MANZANILLO - 39 811 8 234 6 161 5 096 1 065 21 298 2 925 249 405 5S9 HOMBRES 20 047 7 125 117 108 9 10 983 1 224 85 160 3i3 MUJERES 19 764 1 109 6 C44 4 958 1 056 10 315 1 701 164 245 136 MINATITLAN - 3 150 524 441 a 30 11 1 976 176 6 1 26 HOMSRES 1 647 -Q83 2 2 1 059 81 4 18 MUJERES 1 503 41 439 428 11 917 95 2 1 6 TECCHAN - 23 887 4 548 3 915 3 264 551 13 153 1 733 312 114 242 HOMBRES 12 212 4 047 103 9U 9 6 Q39 822 132 51 1;8 MUERES 11 645 501 3 712 3 17C 542 6 214 911 180 63 64 VILLA DE ALVAREZ - 6 258 1 228 896 845 51 3 486 563 30 35 20- HOF13RES 3 168 1 009 31 30 - 1 1 840 252 10 14 12 MUJERES 3 090 219 865 85 5 1 646 311 20 21 8

NOTA*= LOS DATOS 0E ESTE CUARO IZ-r,EREN A LOS PARENTESCOS 0 VINCULOs 00E U-- NEN A LOS DIVERS0S MIET g CAOA FAMILIA CON EL JEFE DE ELLA 8AJo EL - ENCASEZAO0 PERSONIAS CCN- t.O MARITAL fNO SE ALLOE AL ESTAOC CIviL - LEGAL 0 CE E LOECHOUELOS HABITANTES EN LA FECHA DEL CINSOPUES LOS DATOS RELATIVOS ZE PUeLICAN EN EL PRESENTE VOLUMENtEN EL CUADRO NMKE- RO 6 OENEMINADO ESTA00 CIVIL , CUADRO 29 TENENCIA DE VIVIENDAS URGAIM4 y purA Yy sU DISTRIBUCION POR NUMERO DE CUARIOS Y OCUPANTES PRIMEfRA PARTE

VIVIE NDAS V. IVt A S C ON OCUPA0 AS POR

SUMA 3 CUART'S MUNICIPIOS D E I CUAtaO I CUAFTOS VIVIENDAS PROPIE- TARIO INOUILINC NUMEnO OCUPANTEZ - uPApt NUMCROOCUPANTES

730 l721 10 se TOTALLS 30 9149 15 674 15 275 . 264 l si. 1 6-.) 6 19i 34 20 953 1 3 7 7c. UPBANA 18 191 7 32LI 10 867 .' 3 0 *.i 2 14e* RURAL 12 75d 4 14 U 62 V 71 6 3 wie . od 13 777 #~. 4 Jz COLIMA 9 660 3 e.9 5 421 - 53 !,9v; it 10j 2 Cub, 11 002 .J1 URz3ANA 7 63i 2 513 5 12. RURAL 2 I -46 699 13 1 4... 6 CJg ig 727 COMALA - 2 326 I1 442 coo 51 35 1 960 90"4 0 1J 4 Vk9ANA 92d 394 4 7g1 3 5;) 4 1:0v Y26 39o5 o8 6 I ktiMAL SIG 7..o i1v 5 146 17: i 03 4 COQUIMATLAs. -l1 63a 932 6*6 - d 1 'e 1 6 £131 24 4 1 468 %j Je ANA 850 509 3141 14 6 5 o 11th 07 7o8 19 A~URAL 443 345. 3 a 69 3 -su 12l CUAUMTEMOC 496 - ISJ 170 0-g 3 91 l7 1 722 774! 7%d 1 6o39 tj URBANA 2 213 1 d62 7a0 627 15) 3 I to 494 043 RURAL 716 1 0o5 6,11 9 I 14:) 6 1d7 d4.) 2 one IXTLAMUACAN 803 522 2£1 -14 dII 57 - 2 6O 106 1 130 URBANA 2;e I c3 Jj RURAL 03 221 46 575 2 0,0 10 1 13(1 24 MANZANILLO =7 969 14 049 .5 920 7 d.7> 5 624 3e6 1 006 8 754 41Ci' 4 UPBANA 4 960 1 917 1 043 2" 4 1 219 1 121 5 943 IURAL 3 009 2 132 877 15 2 J76 11 114 4o5 2 lix 1403 MINATITLAN 519 436 di li 415 2 4v4 57 URBANA -44 .5 4115 2 494 b7 40 RURAL 519 4J6 s39 I c C3 1 21.' TECO4AN 309 2 06 2 2:0 - 23 3 22k 11 g73 7'44 4 193 UR8ANA 2 242 44 1 I406b 1 623 12 140 396 2 207 7 RVRAL 07 84 7 1 5949 4 963 4b I vvb 25.5 .5.5 VILLA OE ALVAREZ S1 229 616 613 - 6 86el , eJ5 143 1 310 oda URSANA 796 390 406 3 190 505 2 369 107 9d5 k99 RRgAL 4J3 246 207 2 j 61 1 a6 :6 J25 136) CUADRO 29 TENENCIA DE VIVIENDAS URBANAS Y RURALES Y SU DISTRIBUCION POR NUMERO DE CUARTOS Y OCUPANTES SEGUNDA PARTE

V IVI E N D AS C 0 N

MUNICIPIOS 4 CUARTOS 5 CUARTOS 6 CUARTOS 7 CUARTOS Y MAS

NUMERO OCUPANTES NUMERO OCUPANTES NUMERO JOCUPANTES NUMERO OCUPANTES

TOTALES 672 4 120 293 1 d6 139 9131 507 4 692 URBANA 569 3 415 255 1 b21 122 799 353 3 137 RURAL 103 75 38 24. 17 114 154 1 555 COLIMA 363 2 240 173 1 099 85 536 248 2 142 URBANA 347 2 133 165 1 05a 82 517 217 1 840 RURAL 16 107 8 41 3 19 31 302 COMALA 23 153 10 83 2 19 25 210 URdANA 9 63 8 62 1 13 a 86 RURAL 14 90 .2 * 21 1 6 17 124 COQUIATLAN 18 123 552,9 7 83 URdANA 15 Y8 , c 49 6 68 RURAL 3 25 .931 15 CUAUNTEMOC 37 241 18 96 6 59 17 154 URBANA 17 10 '.. 7f 21 3 25 2 20 RURAL 20 141 11 75 3 34 15 134 ZKTLAHUACAN 7 44 . 2 9 1 6 3 34 URdANA RURAL 7 44 1 9 1 6 3 34 MANZANILLO 135 763 39 231 26 149 107 1 086 URBANA 119 658 3 212 23 141 73 703 RURAL -16 125 3 19 3 8 34 3d3 MINATI1LAN 1 5 1 5 1 5 34 397 URBANA RURAL 1 5 1 5 1 5 34 387 TECOMAN 64 411 28 195 11 101 52 499 URBANA 41 263 18 123 7 67 36 350 RURAL 23 148 10 72 4 34 16 149 VILLA DE ALVAREZ 24 120 13 96 7 38 14 97 URBANA 21 100 13 96 6 36 11 70 RURAL 3 20 1 2 3 27 CUADRO 30 137 CARACTERISTICAS DE LA VIVIENDA PRIMERA PARTE

MATERIAL PREDOMINANTE EN LOS MUROS 0 PAREDES

MUNICIPIOS SUMA ADOBE MADERA TABIOUE EMBARRO

VIVIENDAS OCUPANTES VIVIENDAS OCUPANTES VIVIENDAS OCUPANTES VIVIENDAS OCUPANTES VIVIENDAS VCUPANTES

TOTALES 30 94 164 45 16 26t 74 33. 2 025 13 046 8 3 45 P432 2 216 16 Jo*

COLIMA 9 66' >3 7t46 4 Go: Z4 467 594 3 03 3 555 1d 570 3 3 jim COMAL.A 2 3.46 11 i512 1 1,07 6 12i ill I doi 101 dd6 40.: 2 loa CoGUIMATLAN I 6.d a 375 664 3 60 145, 755 09 422 5J3 2 41= CUAUrtTEMOC 2 496 13 51 1 23 a Je 275 141.3 3o 2 Oi7 23. 1 1-c 1XTLAijACAN s 4 19 3 1 1 o 52 4d7 lod aab MANZA~Jtto 7 969 39 811. 5 155 25 47 5 475 2 03 13 407 4o 23o MINATITLAN 519 3 150 11 70L 106 632 11 71 5. 2 TECOMAN 14 30e k3 4d7 2 79i 1 83, 29 2 td9 1 41d 9 449 25 k- 970 VILLA OE ALVAREZ 1 22 6 8 7 3 55 235 1 43 4l lo9 odi 138 CUADRO 30 CARACTERISTICAS DE LA VIVIENDA SEGUNDA PARTE

MATERIAL PREDOMINANTE EN LOS MUROS 0 PAREDES

UUNICIPIOS MAMPOSTERIA BLOQUES GE MATERIAL CANTERA OTROS LIGERO

VIVIENDAS OCUPANTES VIVIENDAS OCUPANTES ViVIENDAS OCUPANTES VIVIENDAS OCUPANTES

TOTALES 94. 465 69 435 51 351 1 ada 14 279

COL '' 33 155 16 69 14 67 d48 4 339 COMA- 14 73 b 16 196 962 COGU!--LAN. 6 41 32 217 7 46 192 074 CUALiTElMOC 6 25 2 13 91 490 IXTLAHUACAN 7 43 225 1 199 MANZANILLO 17 83 9 38- 18 77 41 216 MINATITLAN 2 9 236 1 354 TECOMAN 9 56 5 62 139 22 4 672 VILLA DE ALVAREZ 2 13 1 9 35 173

r CUADRO 30 14 1 CARACTERISTICAS DE LA VIVIENDA QUINTA PARTE

T IE N E N

MUNICIptO- RADIO TELEVISION RADIO Y TELEVISION

VIVIENDAS OCUPANTES VIVIENDA.a OCUPANTES VIVIEN0AS OCUPANTES

TOTALES 9 074 50 1 i 61 44c 35 266

COLIMA 4 538 25 069 1:) 112 9 55 COMALA 357 2 112 1 15 3 14 COQUIMATLAN 170 914 CUAUHTEMOC 432 2 607 2 6 2 12 IXTLAHUACAN 32 i13 MANZANILLO 2 311 12 043 14 loo 4 15 MINATITLAN 128 75-5 15 TECOMAN 808 4 Sol 3i Ib 9 VILLA DE ALVAREZ 298 1 760 3 26 15 140 CUADRO 50 CARACTERISTICAS DE LA VIVIENDA CUARTA PARTE

CUARTO DE DAIO CON AGUA CORRIENTE COMBUSTIBLE PARA LA COCCION DE LOS ALIMENTOS

MUNICIPIOS .T I E N E N NO T I E N E N LERA 0 CARBON PETROLEO GAS 0 ELECTn(CI0AD

vIVIENOAS OCUPANTES VIVIENOAS OCUPANTES VIVIENDAS OCUPANTES VIVIENOAS OCUPANTES VIVIENOAS OCUPANTES

TUTALES 6 .t2 43 Q07 22 627 121 JoJ 43 1 123 9JI 3 64b 19 06 .1 9ao f 21 A. COLIMA a 699 24 2d '4 961 29 Idd 3 o10 is cj5l 1 44 9 406 1 96 13 6 3 COMALA 153 8*6 2 173 10 o,46 2 184 13 i7d 06 305 76 '42' COGUIMATLAN P7 345 1 581 8 5 1 P65 d L-33 i41 1902 2 15. CUAUHTEMOC '204 1 130 2 292 12 383 e 073 i1 lad 27) 1 490 150 8.A IATLAHUAZAW 26 161 777 4 017 duo 1d6 2 6 1, 6 MANZANILLO 2 512 12 371 5 1457 27 1440 b 506 gi 7e1 1 237 5 932 1 22a b 15; hthAT1TCkN 13 03 506 3 U57 19 3 10 T ECo .A4 502 3 154 3 727 20 733 J 582 20 U41 JU 1 592 421 2 256 VILLA DE ALVAREZ 76 4U9 1 153 5 ,49 1 J35 5 212 '!) 491 99 !65 CUADRO 30 139 CARACTERISTICAS DE LA VIVIENDA TERCERA PARTE

SERVICIO DE AGUA SIN SERVICIO DE AGUA DRENAJE 0 ALSANAL (DENT RO DE LA VIVIEN- DA 0 DEL EDIFICIO) ENTUBADA ENTUDADA FUERA MUNICIPIOS DENTRO DE LA VIVIENDA DE LA VIVIENDA, PERO TIENEN NO TIEk!4 DENTRO DEL EDIFICIO VIVIE:NDAS OCUPANTES VIVIENDAS OCUPANTES VIVIENDAS OCUPANTES VIVIENDAS OCUPANTES VMViENOAS C.oANTESI

TOTALES is 141 57 -s59 1 693 8 623 15 115 98 568 9 979 51 764 20 970; .. z oab

COL 4A 5 773 29 914 905 4 bSo 2 982 19 176 5 095 30 s4o 3 765 . l06 COMALA 28? 1 503 39 151 2 000 9 776 lob 962 d 156 ., 2 C0001MATLAN 249 1 32a 39 16d 1 350 6 o79 t5 371 1 573, @diw CUAUITE14UC 376 2 147 57 296 2 063 11 08 279 1 525 d 2171 IXTLAHUACAN 64 342 13 o3 726 3 796 34 259 7691 3 939 MANZANII.LO 2 995 114 636 49 2 u.25 ' 565 23 150 2 7v9 13 344 5 260! t. %*7 NINA:ITLAN 7 74 512 3 i)76 13 93 53oI 3 z7 TECIAN 1 031 5 456 176 910 3 102 17 521 712 3 808 3 597i e.; 179 VILLA DE ALVAREZ 366 1 853 46 261 d15 4 124 104 562 1 125t 5 0,06t IX POPULATION AND HOUSING CENSUS OF COLIMA - 1970 CO L IMA A BC D

I'3

10

k~k

4

2

5 COLIMA

LOCALI- MLJNICIP1O ZACION

1. Armerfa 3-C

2. Colima 3-D

3. Comala 2-C

4. Coquimatldn 3-C

5. Cuauhtsmoc 2-D

-6. Ixtlahuaecn 3-D

7. Manzanillo 3-8

8. MinatitlAn 2-C

9. Tecomn 4-C

10. Villa de Alvarez 2-C CUADRO I.- POBLACION TOTAL POR SEXO, 3 OUPERFICIE TERRITORIAL Y OENGIOAO OE POQ3LACION

P 0 9 L A C 0 N DENSAD DE T 0 T A . SUPERFICIE POOLACION PORCIENTO PORCIt-NTO MUNmICI P10 HOMBRES - DE LA DC LA HOM8RES MUJERES KASITANTES POSLACION SUPERFICIE y 2 t MWEARES Kon PORKm

COLIMA 241 153 1?! 260 119 S*3 S 455.00 44.21 100.00 100.00

APMEPIA IA 340 8 e09 7 41 341.60 47.86 6.70 6.26 COLIMA 72 977 35 688 37 289 66a.20 109.21 30.26 12.25

COMALA 12 52 6 403 ' 123 254.09 49.30 5.20 4.6-.

COOUIMATLAN 10 722 5 600 5 122 320.19 33.49 4.4s 5.87

CUAUI-IEMOC 17 f1A S 963 8 Ni1 373.16 47.20 7.30 6.84

IXTLAN'JACAN 4 801 2 467 2 334 468.71 10.24 1.99 . 49 MANZANILLO 46 234 23 201 23 033 1 '78.42 29.29 19.17 29.94

MINATITLAN 4 407 2 265 2 142 ?14-61 20.53 1.83 3.93

TECOPAN 44 406 22 591 21 415 A07.63 54.98 18.41 14.81

VILLA 0 ALVAREZ 11 116 5 573 5 543 42e.39 25.95 4.61 7. AS CUADRO 2.- NUMERO OE LOCALIDAQES Y POOLACION TOTAL POR SEXO, 7 POR GRUPOS DE TAMAN DE LAS LOCALIDADES CEGUN EL NUMERO OE HABITANTES

POLACION TOTAL POOLACION TOTAL MUNICIPIOY GRUPO DE TAMANO NUUf RO - - MUNICIPIO Y GRUPO DC TAMANO NUMERO DE (A LOCALIDAD SEGUN DC HOUbRIS DE.LA LOCALIDAD SCGUN 0E HOMBRES EL NUMERO DE HA8ITANTES LOCALIDADES y HOUMRES MUJERES EL NUMERODE HAITANTE S LOCALIDADES y HOMBRES MUJERES MUJEREtr MU8ERES

CCLIMA 590 241 153 121 260 119 093 CUAUHTEMUC 25 17 614 8 963 8 651 DE 1 99 420 7 333 3 847 3 4n6 DE 1 A 99 12 304 162 142 DE 100 499 116 26 993 14 065 12 9.8 of IOC A 499 5 1 379 730 649 16 4f3 8 390 8 073 DE - SOC 999 24 DE 500 A 999 3 2 253 1 138 1 115 499 16 23 434 11 9921 11 532 OE 1 000 2 0E 1 000 A 2 499 3 4 082 2 115 1 967 999 6 1? 650 10 102 9 548 CE 2 500 4 CE 2 500 A 4 999 1 4 262 2 117 2 145 999 4 ?5 12l 13 047 12 765 DE 5 000 9 DE 5 000 A 9 999 1 5 334 2 701 2 633 DE 10 0OO 19 999 10 616 5 515 5 111 999 20 777 10 224 10 553 OE 20 CrC 29 II IEXTLAIIUACAN 41 4 811 2 467 *2 334 14 885 0 30 000 39 31 (25 15 640 DE I A 99 36 884 450 434 74 58 450 28 193 30 257 DE 50 000 559 0E 100 A 499 10 2 171 1 134 1 037 0E 1 000 A 2 499 1 1 746 883 863 ARgERIA 42 16 350 8 509 7 841 99 159 DE 1 35 353 194 MANZANILLO 98 46 234 23 201 23 033 2 535 281 254 DE 100 499 DE 1 A 99 52 1 346 712 634 999 3 1 957 1 015 942 DE 5CC DE 10 A 499 31 7 568 3 917 3 651 4 1 2 889 1 514 1 375 06 2 500 99 08 500 A 999 8 5 15C 2 580 2 570 10 61( 5 505 111 0E 10 000 19 S99 1 5 DE 1 000 A 2 499 4 5 026 2 471 2 555 CE 2 50 A 4 999 2 6 367 3 297 3 070 977 35 688 COLIMA 71 72 37 289 OE 20 000 A 29 999 1 20 777 10 224 10 553 DE 1 A 99 42 1 068 552 516 A 499 20 4 375 2 290 2 085 DE 100 MINATITLAN 39 4 407 2 265 2 142 999 3 556 1 848 DE 500 A 5 1 708 DE I A 99 28 905 487 418 A 4'99 2 742 1 388 1 354 0E 1 000 2 2 DE 100 A 499 9 1 711 871 840 '99 2 786 1 417 DE 2 500 .A 4 1 369 OE 1 000 A 2 499 1 1 791 907 884 DE 50 000 A 74 999 58 450 28 193 30 257 7ECOMAN 157 -44 406 22 I~9p1 21 815 COK AL A 37 12 526 6 403 6 123 0E I A 99 142 1308 701 607 DE A 99 249 125 124 1 18 DE 100 A 499 & 2 362 1 206 1 156 A 499 15 3 207 1 684 1 523 DE 100 D0 SCO A 999 2 1 270 643 627 A 999 2 1 771 890 881 DE 500 0E 1 000 A 2 499 3 4 495 2 299 2 196 A 2 459 7 7 880 827 DE 1 090 1 1 DE 2 500 A 4 999 1 3 346 1 757 1 589 A 5 592 2 824 2 768 CE 5 000 9 999 1 CE 30 000 A 39 999 1 31 625 15 985 15 640 MATLAN 10 722 5 600 5 122 COQUI 25 VILLA DE ALVAREZ 50 11 116 5 573 5 543 DE A - 99 14 268 133 135 1 VE 1 A 99 41 648 331 317 DE 499 1 891 1 002 889 100 A 8 DE t00 A 499 8 1 794 950 844 CE A 999 276 230 500 596 GE 5 000 A 9 999 1 8 e74 4 292 4 382 DE 1 0-30 A 2 499 1 845 959 886 CE 5 000 A 9 999 6 212 3 230 2 982 a %A n A0% A0"00%o% "0 t Aa"0 A0%%o -

IC P4 w P 00. 0 to P40- 0 N w 0 wN 0 0 Oww w fO w 4) 0 %^.a qpl w 4 M - 0000 a. 000.Oo 4 e f % (. w.0w 4 00 A p .4 w &a i 41--M mm mm mm m mmmmm mmmrijm w 4.A CNN-L 0Ti C. %P- w *0 L%4g W JU4 L0 6ALALALCC 40LOLOLwAOAOAOALA LOAOAOIOAA-4*40L0 LOALALAVOLI-OLC LALNLOLOLO4OAOAOI

NOC Go w *.ato 0

"A LA -aw-40 oNP 4001 A- 1 " - LA U'-aa0 , J -00wA.-N*-

p.4 c

o w 4 ,%A% 1* - Q %A 4 J-w w v A - 0 0 40 t w -*.-4 0,.-VWLAOW t o'04 014.-N" %AO- oPNW W.t 0N NL LA.4W c d -4 4)

LcG j- .0 A %xA 0 Ow D- 4 -0% %0 0W NNP' l . 4a- , lA %N0L PwwNA . f c -4 -% % ? t v LA.O (P.04P %A 0 4 lb P..1 1 4IP4 10 WN*. 1 44. ) 4 .P60O 4J4 N N6.-0 4V f . % i v. .po . p 4 0 .N Q J L 4 4N,0.0 0 40.-.00N

QNLA.00 W0 C b- O *00.4 0 0 %A 0 . L ~ ~ N0 W C O m NO A N - U(N d -0L wL wA*N w- -~ 04 4?0 141W A( a N T ), t0 w 0P. OaWLLL- w Lm A A .. 4-8 00P 0PiO c t

NNNN 4.44.0~ A40 NN JN W~J* .04.*~4.(N 0O''N 4.-N N4*~,U~-J,.J'~ 0 A0N 'L~~U .~~d, C7.

r4 r.. %aJN N r- cWW-#R

L- % 900.w . - % a-0V0 0 0 00 0 O 0 0 00 00w00000000- 00 0 0 0 0 00 004 0 0v N 0.000w0woAv~~ -A oAou -4 P.~-O %a' m4- WW N4 0OOLL d A --WN 4A Q- 2WtzNQP 4 .'!o M QJ" wQ 4 Op . 0LL W N P 4~AA ~ - W N NNNWLA - 0 LAOA0LOV4LAOAOLO4JI4AOAO AOL OLALACAOUOU'LAO''O AOLOLALACAO44OLALAOAO AOL O'RLAO,0LA LA0AOL O LOLALA0AO. tvC ww" - -Cm 0 2wL~-.~WNN-.- NN~ IaLL~d*'44 Z~LA~d--WW44N.4 0-. -4~'LA'J'WNN-4- Ia-4~0LAA m .o~ ~d- U-J 0O-JO'd 0 d-0.0d0d.0 J.~~* w 0-d -. JO. %A~ 0d. d-jd 0-O.J'JJ 4d.J. C w LAA LA ZA L C 0

2 a 4 40CN jo.4A..0 1o 04 0 1 p. 3IA. p.4 J- J 40. -40 ut C C o CO O a~ OfA OO O O O a Co

0 IAI.z 0

00t

rv 0-4 a4 0 41 1 a it . ' 0'W~ 4 u-J ~-4 * k Daa- -I 04'N C@ r. CUADRO G.- POGLACION TOTAL SEGUN GU PARENTESCO 25 0 RELACION CON EL JErE DE LA FAMILIA, POR SEXO

JEFES LCPOSAS(OS) CON SIN Y SEXO POOLACiON PIERSNAS 0 HIJOS OTRO MUNICIP1O TOAL SOLAS FAUILIA COMPANF.- PARENTESCOPARENTESCO RAS (OS)

03LINA 241 153 6 978 41 108 32 782 145 853 12 060 2 372 1OO8Ats 121 260 4 294 34 711 117 76 517 4 750 865 HJJERLS 119 893 2 684 6 391 32 665 69 336 7 310 1 507 A.tMERIA 16 350 553 2 720 2 208 9 975 736 158 HOMNRLS 8 509 374 2 323 1 5 452 281 78 "UJERtS 7 841 179 397 2 207 4 523 455 80

COLINMA 72. 977 2 696 12 123 9 171 43 342 4 644 1 001 HUMBRES 35688 1 6b08 9 750 43 22 374 1 663 250 MUJERES 37 289 1 088 2 373 9. 12 20 9b8 2 981 751

COMALA 12 526 405 2 091 1 711 7 714 543 62 'JNBRES 6 403 237 1 803 6 4 144 188 25 MJJERES 4 123 168 288 1 703 3 570 355 37

CIQUIHATLA4 10 722 292 1 822 1 464 6 583 494 67 HO48RtS 5 '.00 193 1 573 10 3 577 218 39 MUJERES 5 122 109 249 1 451 3 006 276 28

CUAUNTEMJC 17 614 368 2 788 2 332 11 508 565 53 HOMORS 8 963 212 2 432 3 6 078 213 25 MUJERES 8 651 156 356 2 329 5 430 352 28

IXTLAHUACAN 4 801 68 811 689 3 001 203 29 HUMBRES 2 467 44 729 ... 1 601 85 8 MUJERES 2 334 24 82 689 1 400 118 21

MANZANILLU 46 234 1 272 d 369 6 621 26 992 2 392 588 HOMBRES 23 201 819 7 322 18 14 054 1 045 243 MUJERtS - 23 033 - 453 1 347 6 603 12 938 1 347 345

MINAT1ILAN 4 407 67 753 630 2 796 147 14 HOMBRES 2 265 44 669 2 1 474 67 9 %UJERES 2 142 23 84 628 1 322 s0 5

74COiAN 44 406 1 076 7 669 6 398 27 126 1 833 304 HJMBSRES 22 591 692 6 730 23 14 215 778 153 MUJERES 21 8315 384 939 6 375 12 911 1 055 151

VILLA DEALVAREZ 11 116 181 1 962 1 558 6 816 503 96 HUMBRES 5 573 81 1 686 11 3 548 212 35 MUJERES 5 543 100 276 1 547 3 268 291 61 CUADRO 8.- FAMILIAS CENGALES BEGUN EL NUMERO DE SUB MIEMBROS 29

T I PO DE F A MI LIA S EG U N EL NUMEFRO DE SUS MIE M ORO S TOTAL MUN I C I PI 0 DE DEE DE Dc DEE DE DE 9 MIEMOROSTOTAL 2 3 4 5 6 7 8 mImucros MIEMOROS MiEMROS MS MIELoz MOnROS MIEMGROS MIEMUROS MIEMOROS Y WAS

COLIMA 234 175 41 108 6 190 5 791 5 195 4 840 4 663 3 763 3 143 7 523

AAMERIA 15 797 2 720 402 374 349 308 313 242 207 525

COL IMA 7I 261 12 123 1 850 1 697 1 500 1 396 1 326 1 078 917 2 359

COMALA 12 121 2 091 287. 296 259 252 238 186 174 397

CJQUIMATLAN IC 43C 1 822 265 273 236 193 211 156 145 343

CUAUhTEMOC 17 246 2 788 377 330 299 289 285 208 248 672

X1XLANUACAM 4 733 all 113 90 97 97 90 98 70 156

MANZANILLU 44 962 6 369 1 382 1 290 1 096 1 050 909 753 607 1 281

IMIIATITLAN 4 340 753 82 97 114 1o0 85 80 56 139

TECOMAN 43 33C 7 669 1 149 1 076 995 922 951 687 555 1 334

VILLA CE ALVAREZ 10 935 1 962 282 268 250 233 255 193 164 CUAQRO 7.- ESTADO CIVIL DE LA POLACION DE 12 ANOG Y MAS, POR GEXO 33

POOLACION CN MATHIMONIO E SOLTEROS, EN INION VIU005 ,,pocipio Y SEXO 12 AF4OS SOLO SOLO CIVIL Y DIVOCIADOSSEPARADOS SUMA INOE Y MAS CIVIL HELIGIOSOREUGIOSO I I 1 I i 1 I i-

146 576 63 297 6 4 730 4 607 5 416 54 707 9 864 6 247 509 1 929 OMBRES 72 978 34 399) 31 731 2 207 2 617 26 907 1 679 1 311 201 657 UJERkS 73 598 28 898 32 9991 2 400 2 7991 27 800 5 185 4 936 308 1 272 9 516 3 AkqtAIA 814 4 263 391 609 3 263 913 363 30 133 4 930 NOmSRES 2 261 2 089 188 295 1 606 442 78 17 43 UJERES 4 586 1 553 2 174 203 314 1 6571 471 285 13 90

CjIMAA 45 '.46 21 104 148 714 1 412 868 16 434 766 2 250 183 629 DM8 RES 1. 675 21 TO? 9 C97 666 407 0 024 275 414 77 169 uJERIES 23 939 1u 429 617 746 461 0 410 491 1 836 106 460 7 765 3 344 COIALA 759 131 167 3 461 220 330 21 91 3mBRES 3 969 H 1 882 847 61 76 1 710 98 76 17 49 wIJEES 3 796 1 462 912 70 91 1 751 122 254 4 42

cI3uUINAILANM 6 545 2 847 908 116 284 2 508 361 323 16 90 HIOMSAES 3 424 1 670 439 58 139 1 242 173 92 10 40 14UJER ES 3 121 1 177 469 58 145 1 266 188 231 .6 50 2 CuAUIIT CHI 10 384 4 682 001 106 199 4 696 219 363 22 97 HOMORES 5 245 2 566 455 48 94 2 313 103 69 7 45 5 139 2 116 MUJERES 546 58 105 2 383 116 294 15 52 IATLAHUACAN4 2 165 1 103 343 44 88 1 211 163 108 7 41 1 424 631 12 ttG.48RES 670 22 44 604 76 29 2 16 1 341 472 673 22 44 607 87 1 79 5 25 MANLANILLO 2a 042 11 672 067 1 440 1 460 9 167 492 1 255 114 442 4OM8RES 14 012 6 447 960 699 721 4 540 196 242 35 132 MUJERES 14 030 5 225 107 741. 739 6 627 296 1 013 79 310

MUNAT IlLAN 525 1 048 271 33 105 1 133 83 97 6 20 NLI'RtS 626 1 344 631 18 51 562 38 41 2 6 MUJE RES 1 181 422 640 15 54 571 45 56 4 14 TECOMAN 26 514 10 629 263 848 1 530 9 885 378 860 85 299 HOMBRES 13 489 5 990 015 6 407 742 4 866 153 183 26 122 MUJEKES 13 025 4 639 6 248 441 788 5 019 225 677 59 177 6 VILLA DE ALVAREZ 8741 3 054 3 141 86 106 2 949 269 298 HOMBRES 25 87 3 434 1 6511 528 40 48 1 440 125 87 8 35 MUJERES, 3 440 1 403 613 46 58 1 509 144 211 17 52 I CLVADRO 10.- POEILACION TOTAL POR LUGAR DE 45 NACIMIENTO Y SEXO

POflLACION TOTAL

MZMNCIPIO Y CONCEPTO HOMORES I IOMBRES MUJERES MUJERES

COLINA 241 153 121 260 119 893 NACZOOS EN LA iNTIOAD 176 068 a9 436i 87 432- MACIGUS EN OTRA ENTIDAD 64 794 32 466 32 328 MACIO0S EN UTRO PAIS 291 158 133

AAMEItA 16 350 8 509 7 841 NACIOOS LN LA ENTOAD 10 908 5 679 5 229 NACZOuS EN UTRA ENP4ILAD 5 430 2 822 2 6Cs MACZO EN JTRO PAIS 12 6 4 COLINA 72 977 35 688 37 289 NACIDOS En LA ENTI0AD 55 504 27 39? 28 112 NACIDOS EN OTRA ENTIOAD 17 362 8 2:/ 9 125 MACIO0S EN UTRO PAIS 111 57 52

COMALA 12 526 6 403 6 123 NACZO0S EN LA ENTIOAD 11 450 5 195 5 555 MACIDUS EN OTAA ENTIOAD 1 070 5'7 563 NACIDJS EN OTRO PAIS 6 1 5

COQUIMATLAN 10 722 5 6301 5 122 NAC IDOS EN LA ENTIOAD 8 641 4 545 4 096 MACZIOS EN OTRA ENTIDAD 2 076 1 052 1 024 MACIDOS EN OTRO PAIS 5 3 2 CJAUHTEMOC 17 614 3 f.3 8 651 NACIDOS EN LA ENTIOAD 15 479 7 66 7 593 MACIDOS EN OTRA ENIOAD 2 123 1 071 1 052 NACIDOS EN OTRO PAIS 12 6 6

JATLAMUACAN 4 801 2 467 2 334 NACIDOS EN LA ENTIDAD 3 807 1 971 1 836 NACIOUS EN UTRA ENIOAD 993 416 497 MACZOS EN OTRO PAIS 1 ... 1 MANZAMILLO 46 234 23 201 23 033 NACIDOS EN LA ENTIOAD 29 673 14 438 14 a35 NACIDOS EN OTRA ENTIOAD 16 480 8 315 8 165 MACIDOS EN OTRO PAIS 81 48 33

MZNAfZTLAN 4 407 2 265 2 142 NAC100S EN LA ENTIOAD 3 688 1 386 1 802 MACIDOS EN OTRA ENTIDAD 719 379 340

TECOMAN 44 406 22 591 21 815 MACOS EN LA ENTIDAD 27 382 13 7F9 13 o23 MACIDOS EN O1RA ENTIDAO 16 970 8 8(3 8 167 MACIDOS EN OTRO PAIS 54 29 25

VILLA DE ALVAREZ 11 116 5 573 5 543 MACZDOS EN LA ENTIDAO 9 536 4 78! 4 751 MAC Z0S EN OTRA ENTIOAD 1 571 754 787 NACIDOS EN UTRO PAIS 9 1 5 CUADRO 12.- POGLACION QUE CAMBIO 53 DE LUGAR DE RCIDENCIA, SEGUN EL TIEMPO QUE TIENE DE RESIDIR EN ESTA ENTIOAD, POR ENTIOAD FEDERATIVA O PAIS DE PROCEDENCIA

ANOS DE HCStoi :CIA EN ETA ENTIDAD, DC I A POOLACION 0 TRA ENTIDAD- 0 PAIS MUNICIPIO DE RESIDENCIA _ PROCDFUTF 1C Y ENTIDAO FEDLRATIVA MENOS DE DE DE DEI1 PERIODO DE PROCE0ENCIA TOTAL DE I I A 2 3 A 5 6 A 10 AROS AW AROS AhOS AhOS Y MAS NO INDICADO

COLIMA 66 617 6 558 7 668 9 969 12 991 26 925 2 506

PROCEDENTES DE I

AGUASCALIENTES 185 42 16 22 32 66 7 8AJA CALIFORNIA 777 124 123 148 136 206 40 BAJA CALIFORNIA t. 71 9 19 12 3 23 5 CAMPFCIIF 72 3 11 19 13 21 5 COAHUILA 272 55 44 31 51 79 12 CHIAPAS 123 17 6 24 17 55 2 CHIHUAHUA 182 16 17 37 5~0 57 5 DISTRITO FEDERAL 1 345 220 251 234 213 374 53 OUPANGO 382 39 22 50 95 122 54 CUANAJUATO 892 146 145 150 205 234 12 CUERPERO 831 136 182 128 127 228 30 1I4IALGO 153 26 9 15 A2 16 5 JALISCO 30 165 2 812 3 704 5 252 7 399 17 589 1 409 MEXICO 826 126 138 129 142 255 36 0ICHOACAN 16 296 1 719 2 048 2 713 3 413 5 839 564 ACRELOS 362 35 17 41 53 205 11 NAYARIT 604 77 66 131 130 17$ 23 NUEVO LEON 313 48 40 47 59 100 19 OAXACA 342 36 61 50 50 111 34 PUESLA 195 41 20 25 33 61 15 OUEOETARO 128 10 30 24 23 38 3 QUINTANA ROO 26 6 5 5 .. 8 2 SAN LUIS P070SI 293 19 53 55 77 79 10 SINALCA 603 71 120 117 88 187 20 SONORA 340 64 '30 39 77 101 9 TABASCO 45 5 6 a 8 is 3 TAMAULIPAS 429 56 87 82 66 117 21 TLAXCALA 40 12 ... 15 3 8 2 VERACPUZ 754 125 168 138 95 193 35 YUCATAN 52 11 12 9 .8 9 3 ZACATECAS 1 134 383 136 174 248 172 21 -PAISES EXTRANJEROS 385 69 60 45 45 130 36

ARMERIA 5 529 391 794 845 1 093 2 140 266

PROCEDEN7ES DE :

AGUASCALIENTES - 13 3 2 3 4 1 BAJA CALIFORNIA 59 3 21 7 20 7 1 COAHUILA 5 *&a .. 4 ... 1 ... CHIAPAS 5 see 11.. 2 2 CHIHUAHUA 5 .. 1 ... 1 3 DISTRITO FEDERAL 42 2 7 13 5 11 4 DURANGO 28 ... 3 2 8 10 5 GUANAJUATO 34 1 13 ... 7 it 2 GUERRERO 49 5 2 5 7 20 10 HIDALGO 1 *.. . . 1 0.0 JALISCO 3 266 192 380 442 700 1 381 171 MEXICO 51 3 18 2 4 21 3 MICHOACAN 1 705 160 318 317 271 582 57 MORELOS 26 2 1 *be 3 20 . NAYARIT 54 3 10 2 18 18 3 NUEVC LEON 12 4 6 1 1 DAXACA 8 1 4 ... 1 2 PUEBLA 8 1 4 2 1 QUERETARO I ... . 1 ... .. SAN LUIS POTOSI 2 1 .. I.. ... SINALOA 22 ... 2 2 13 5 SONCRA 20 5 6 5 ... 4 TABI.SCO 1 ...... 1 TAMAULIPAS 18 ... 1 7 4 6 VERACPUZ 43 6 4 13 4 13 3 YUCATAN 2 ...... 1 1 .. ZACATECAS 36 3 3 11 8 9 2 PAISES EXTRANJEROS 13 1 ~4 1 2 5

COLIMA 18 121 1 818 1 976 2 426 3 271 7 925 705

PROCEDENTES 06 1

AGUASCALIENTES 99 24 9 14 12 36 4 BAJA CALIFORNIA 277 57 50 48 29 73 20 8AJA CALIFOINIA T. 24 ... 12 1 1 10 00. CAMPECHF 15 1 3 4 1 1 5 COAHUILA 113 28 22 11 28 20 4 CHIAPAS 40 9 1 14 3 13 ... CHIHUAHUA 83 8 12 8 31 20 4 DISTRITO FEDERAL 664 117 111 133 96 177 30 DURANCO 103 26 10 17 14 22 14 GUANAJUATO 215 63 30 20 31 69 2 CUEROERO 111 11 23 6 27 42 2 HIDALGO 76 19 2 7 19 26 3 JALISCO 10 351 739 952 1 276 1 740 5 244 400 MEXICO 271 41 31 60 48 80 18 MICHOACAN 3 986 397 417 55 4 902 1 596 120 MCRELOS 98 12 5 13 18 47 3 NAYARIT 179 23 16 41 46 47 1. CUADRlO 12.- POOLACION QUE CAMOIO 55 DE LUOAR DE RECEIDENCIA, GEGUN EL TIEMPO QUE TIENE DE REGIDIR EN ESTA ENTIDAD, POR CNTIDAo rEDErATIVA 0 PAIS DE PROCEDENCIA

ANOS DE fLU.ll.NCA FN fESTA fNTI0AO, or LA POULACION

MUNICIPIO DE RESI0CNCIA .______L 0! HA NHIAO 0 PA*5 Y ENTIDAD FECH4ATIVA MUNOS DE DE DE DEI P DE PROCEOCNCIA TOTAL DE I I A 2 3 A 5 6 A 10 AROS PRIODO ARo APOS AIO AROS T MAS NO NCAO

NAYA#IT 15 8 ... 1 1 4 1 NUEVO1C0N 4 ... ese 1 .. e 2 1 OAXACA 2 eee ... e. 2..2 PUEELA 2 '. . 1 ese e.. see I 0UEOFTARO 1 woo 0ee I ee o SAN IIJIS POTOSI 4 2 1 1 SINALOA 1 .ee .ee e *es SONORA 14 too .ee 4 7 3 geo TABASCO 2 ... 1 .+. e1. 1 o TAMiiLIPAS 3 eee 1 ..*soe 2 TLAXCALA 1 be. Soo Ie. to VEVACPUZ 22 3 4 1 a 8 4 ZACATECAS 1 .. '.ow ese e I PAISES EXTRANJEROS 13 2 3 1 ... 2 5

IXTLAHUACAN 998 1 100 148 181 463 105

PRCCEDENTES DE t BAJA CALIFORNIA 1 ... eb. e. 1 .. s DISTP ITO FEDERAL 1 to. ... 1 OUPANCO 1 .00 .0 . 1 e e GUANAJUATO 1 too ese ese ee 1t CUEPRERO 3 ese ese 2 ... s HIOALGn 2 ... .s. .. e 1 t JALISCO 186 e. 25 30 11 107 13 MEXICO 2 e.e .ee ... 1 1 MICHOACAN 787 1 73 114 165 . 344 90 4CRELOS 1 oeo as* gooeI e NAYARIT .3 ... 1 1 1 NUFVC LECN 4 ... .. e .ee ... 4 SAN LUIS POTOSI 1 1 e ... *so.es SONORA 1 e.. .ee ...... I ZACATFCAS 1 ...... 1 ... PAISES EXTRANJEROS 3 .Soo . .e. ... 2 1 MANZANILLO 16 935 1 4.31 2 226 2 759 3 059 6 786 674

POOCEDENTES DE- :

AGUASCALIEN7FS 33 1 4 3 7 16 2 BAJA CALIFORNIA 267 37 29 6!5 60 66 10 SAJA CALIFOFNIA To 33 8 6 81 1 9 1 CAMPECHr 29 2 3 1( 11 3 04. COAHUILA 33 6 5 b 2 3 CHIAPAS 51 5 6 8 11 21 ese CHIHUAHUA 46 ... 4 26 8 8 e DISIPITO FEDERAL 416 68 87 63 70 116 12 OURANGO 44 -2 2 4 5 13 18 GUANAJUATO 177 20 22 48 34 50 3 CUFRRERO 507 101 118 85 67 124 12 HIDALGO 30 3 4 7 4 12 JALISCO 10 659 636 1 157 1 568 2 034 4 814 450 MEXICO 208 32 47 30 20 -66 5 MICHOACAN 2 557 287 359 475 449 915 72 MORELOS 113 13 8 10 10 67 5 NAYAPIT 169 16 19 42 31 57 . 4 NUEVC LEON 47 2 8 16 9 9 3 CAXACA I7 16 41 23 33 64 10 PUEBLA 65 7 13 9 14 18 4 OUFRETARO 13 .. e 3 3 2 5 CUINTANA POO- 16 6 5 2 ... 2 1 SAN LUIS POTOSI 39 1 9 2 6 1 SINALOA 2S5 .34 81 76 21 71 12 SONORA 127 19 18 10 32 43 5 TABASCO 14 1 3 1 1 7 1 TAMAULIPAS 172 19 38 29 30 so 6 TLAXCALA 20 8 -04 6 2 4 eee VEPACPUZ 359 57 100 87 40 62 13 YUCATAN 29 5 10 A 6 3 2 ZACATECAS 85 12 5 7 26 28 7 PAISES FXTRANJEROS 95 7 12 17 13 36 10

NINATITLAN 736 135 123 130 85 225 38

PROCEDENTES DE : BAJA CALIFORNIA 6 4 1 see es 1 BAJA CALIFOPNIA T. 2 ...e; 1 to..s. 'CAPPECHE 1 ee. 1 ...... e e COAHUILA 2 ... 2 .. esetoo . a.. CHIAPAS 1 eIe 1 eee .e. .0e DISTRITO FEDERA ? 2 3 .. e 1 OURANGO 17 5 * *e. e. 7- 5 GUANAJUATO 5 ... 3 ese 2 .. 0 ese JALISC0 623 105 93 116 78 205 26 MEXICO 5 4 e.. .. be. 1 ' . MICHOACAN 53 13 17 12 4 3 4 NRELOS 7 1 1 eee ee. 4 I NAYARIT 2 ee*0. .ee 1 1 . OAXACA 1 e- *e s ~ . TAMAULIPAS 1 1 e. ... e..** VERACPUZ 1 19. Goo ... 4.4 set ZACATECAS 2 be. *so *se ego 2 .06 56 CUADRO 12.- PO LACION QUE CAM[,O '- DE LUGAR DE RESIOENCIA, SEGUN EL TIEMPO QUE TIENE DE RESIDIR EN ESTA ENTIOAD, POR ENTIOAD FEOERATNA O PAIS DE PROCEDENCIA

ANOS DE RESIOrNCIA FN ESTA ENTIOAD, DE LA POOLACION 0 PAlS MUNICIPIO DE RESIDENCIA PROCEDENTF DE OTRA ENTIOAD Y ENTIDAD FEDERATIVA MEMOS DE DE DE DE DE PRO..EDENCIA TOTAL Dc I A 2 3 A 5 6 A10 AhOS PERI000 AW0 AAOS AAft AAOS T MAS NO IMCADO

TECOMAN 17 260 2 164 1 845 2 819 3 992 5 882 558 PROCEDENTES DE i AGUASCALTFNIF 35 12 3 3 9 8 BAJA CALIFORNIA 77 11 9 16 13 23 5 BAJA CALIFOONIA T. 7 I ... 1 1 3 1 CAMPECHF 4 ,.. . 3 1 *a; COAHUlLA 66 13 10 6 19 35 3 CHIAPAS 12 2 .. 1 CHIHUAHUA 24 8 ... 3 6 7 DISTRITO FEDERAL 141 16 22 17 26 52 6 DURANGO 150 5 6 25 63 45 6 GUANAJUATO 429 53 73 80 130 88 5 CUERRERO 133 19 26 28 24 30 6 HICALGO 34 4 1 1 a 16 2 JALISCO 7 681 720 692 1 164 1 863 2 977 265 MEXICo 186 32 23 -. 24 47 51 9 MICHOACAN 6 382 765 774 133 1 404 2 111 193 POPELCS 74 6 1 16 13 17 1 NAYARIT 156 26 1 39 25 39 9 NUEVO LEON 72 12 2 14 6 31 5 IAXACA 31 3 2 ... 14 S PUEBLA 43 13 1 9 5 12 . 3 UERETA R. 65 4 6 18 12 23 2 0UINTANA FlO I ..e so; ... *so SA* LUIS POTOSI 135 6 9 37 49 .33 1 ST.ALCA 75 10 6 19 16 21 3 SOSOlA 53 13 5 4 12 1 1 TABASCO 64 1 ... 7 2 4 TAPAULIPAS at 14 8 to 19 23 7 TLAXCALA 3 3 ...... VERACFUZ 131 31 21 10 19 47 3 YUCATAN 8 1 1 2 1 3 ... ZACATECAS 859 350 110 127 178 86 8 PAISES EXTRANJEPOS 78 8 14 3 15 33 5

VILLA DE ALVAREZ 1 622 121 161 190 271 831 48 PO0CEDENTES DE I

AGUASCALIrNTES 1 ...... - .. so. I BAJA CALIFORNIA 47 2 4 7 2 28 4 BAJA CALIFPNIA T. 4 .e. 1 1 . 1 CAMPECHE 23 .e 4 2 ese 17 ... COAHUILA 18 7 ...... ee- 9 2 CHIAAS 10 ...... 1 8 1 CHIHUAHUA 21 ...... 2 18 1 DISTPITO FEDERAL 29 5 ... 4 8 11 1 DURANGO 24 *.. 1 *.. 1 21 1 GUANAJUATO 8 s.. . .. o.. 7 GUERRERO 23 ,,. 12 ... 2 9 HIDALGC 7 ... 2 ...... 5 JALISCO 1 146 97 106 161 217 545 20 MEXICO 33 ee 10 2 6 15 s.. MICHOACAN 120 2 14 10 20 65 9 PORELOS 17 ...... 1 2 14 ... NAYARIT -11 *. 2 ... 4 5 ... NUEVO LEON 5 ...... *. *. 5 CAXACA 8 . .. . 4 4 - PUEELA 4 ... ,...... 4 'OUINTANA ROO 4 o...,. ., . 4 SAN LUIS POTOSI 5 1 ... . -- 3 ... SINALOA 12 *. s.. ... 2 9 1 SONORA 2 ...... I .. TAPAULIOAS 4 se. ... 1 2 1 VERACRUZ 14 ... 1 1 3 a 1 ZACATECAS 10 2 1 ... se* 7 ... PAISES EXTRANJEPOS 12 5 1 ... 4.. 5 1 CUADRO 2E.- POrLACION ECONOMICAMENTE ACTIVA o 12 ANOS Y MAG, TOTAL 137 Y LA QUE DECLARO INGRCOG POR ORUPOS DE INGREGO MENGUAL Y RAMA DE ACTIVIDAD

CATOU nCreMNTCS AL A;1o oC s0a0

GRUPOS DE INGRESO MENSUAL DE LA POBLACIOf ECONOMICAMENTE ACTIVA QUE DECLARO INGRESOS

MUNICIPIO Y RAMA DE ACTIVIDAD TOTAL HASTA DE 200 DL SO DE1000 DE 500 DE2 500 DE5000 DE 10000 SUMA 99 A 49 A 999 A l41 A249 A 4999 A 99 PESOS PESOS PEsos PESOS FEI. , PESOS PESOS PESOS y VAS

68 277 61 357 6 512 14 624 27 692 3 195 1 951 633 429 AGAICULTURA.GANADER IASILVI- CULTUKA,PESCA Y CAZA 29 925 26 347 2 324 8 136 14 119 453 310 120 91 INOUSIRIA DLL PITRU)LEO 148 142 ... 10 21 42 40 6 2 IJOuSTRIA tXTrFACTIVA 493 470 10 58 198 43 38 22 8 INUUSTRIA UE TkANSIURMACION 6 151 5 712 553 1 202 2 481 8 381 191 66 60 CON4STRUCCIOU 2 916 2 822 93 307 1 737 kf5 128 58 17 7 CEFECRACIO4 Y 0JI.TRIIUCION DE ENEAGIA ELCTRICA 222 219 4 11 64 69 42 18 5 6 COMERC1O 5 886 5 369 562 1 282 2 132 510 432 300 95 56 TRANSPORTES 2 &69 1 976 47 170 844 480 244 139 38 14 SERVICIOS 11 437 10 851 2 176 2 236 2 999 1 766 974 477 153 70 GUoIERNU 3 382 1 274 100 211 1 345 972 281 270 69 26 INSUFICIENTEMENTE ESPECIF. 5 628 4 175 643 1 001 1 752 363 175 110 42 89 ARAERIA 4 586 4 021 374 880 2 191 276 162 87 31 20 AGAICULTURACANAOERIA,SILVI- CULrURA,PESCA Y CAZA 2 727 2 384 195 514 1 445 96 69 42 15 8 INDUStRIA EXTUACTIVA 23 21 ... 5 10 2 2 2 INDUSTRJA DE TKANSFURMACION 324 295 36 59 154 28 11 3 ... 4 CONSTRUCCION 109 101 ... 14 69 17 ... 1 GENERACIUN Y DISTRIBUCION OE 'EhAGIA ELECTRICA 22 22 ...... 13 6 1 ... COMERCIO 269 242 31 68 87 16 21 14 2 3 TRANSPORTES 100 95 1 6 55 25 4 3 1 SERVICI3S 420 394 65 122 112 40 33 15 4 3 GotIEKNO 88 83 1 8 50 12 7 3 2 INSUFICIENTEMENTE ESPECIF. 504 384 45 84 196 32 14 4 7 2

CJLIMA 71 221 19 545 2 462 4 051 7 803 2 534 1 367 875 301 152 AGRICULTURAGANAUER IASILVI- CULTURAPESCA Y CAZA 4 379 3 752 363 1 117 1 930 106 79 92 35 30 INWSTKIA CEL PETROLE1 52 51 r.. 3 9 6 20 12 1 .. INOUSTRIA ExlKACTIVA 212 204 7 17 70 40 19 31 15 5 INVUSTKIA 0E TKANSFJRMACION 2 704 2 568 246 543 1 145 319 159 102 36 18 C2NSTKUCCIN . 1 332 1 292 50 164 810 170 52 34 10 2 CENERACIUN Y DISTRIBUCION DE ENERGIA ELECrRICA 96 96 1 4 26 23 29 9 ... 4 COMEXCIJ 2 748 2 572 257 624 1 029 235 195 150 52 30 TRANSPORTES 750 728 18 67 278 188 114 46 9 8 SEAV CIIS 5 397 5 207 1 iea 983 1 230 957 495 239 85 30 G0811RN3 1 515 1 476 63 142 633 352 124 104 40 18 ISUFICIENTEMENTE ESPECIF. 2 036 1 599 269 387 643 138 81 56 18 7

COKALA 3 653 3 143 441 1 334 1 180 103 36 27 10 12 AGRICULTURAGAJADEKIASILVI- CULTURA,PESCA Y CAIA 2 559 2 244 232 1 119 836 23 11 14 5 4 INOUSTRIA UEL PETACLEO 1 1 ...... INDUSTRIA EXTRACTIVA 5 5 ...... 4 ...... 1 INDUSTRIA DE TRANiSFORMACION 196 176 29 58 72 10 ... 2 ... 5 CONSTRUCCION 80 80 3 15 55 5 1 1 GENERACLJN Y ULSTAISUCION DE ENERGIA ELECTKICA 4 4 ...... 1 3 .. COMERCIO 172 159 33 38 71 10 4 1 ... 2 TRANSP'RTES 32 29 1 2 19 6 1 .. SERVICIOS 285 274 107 47 65 34 11 5 4 1 cOBIetRN 40 40 3 5 22 4 4 2 INSUFICIENTEMENTE ESPECIF. 279 131 - 33 49 35 8 4 1 1

COQUIXATLAN 3 C62 2 722 233 758 1 533 116 48 22 3 9 AGRICULTURAGANADERIASILVI- CULTURA,PESCA Y CAZA 2 2 079 130 623 1 263 35 14 9 3 2 INOUSTRIA EXTRACTIVA 7 ... 1 1 3 2 INDUSTRIA CE TRAt4SFORMACION 114 15 25 52 13 7 1 ... I CoNSTRUCC10: 76 3 5 52 11 3 1 ... 1 GENERACIUN Y DISTRIBUCION DE ENERGIA ELECTRICA 5 ... 1 3 1 ... .. CuLIRCIU i 101 16 35 37 8 3 2 TRANSPURTES 67 61 3 7 30 13 5 3 SERVICOS 184 176 52 43 49 16 10 3 ... 3 COBIERNO 41 40 3 1 22 8 3 2 ... I .INSUFICIENTEMENTE ESPECIF. 111 63 11 17 24 8 1 1 ... 1

CUAUHTEMOC 4 615 4 204 357 1 211 1 997 361 176 63 24 15 ACRICULTURAGANADERIA,SILVI- CULTURAPESCA Y CALA 2 891 2 644 155 956 1 406 74 24 15 7 7 INOUSTRIA DELPETKOLED 3 2 ... 2 ...... INDUSTRIA EXTRACTIVA 32 32 ... 7 10 12 2 ...... 1 INOUSTRIA OE TRANSFORMACION 602 564 34 60 203 144 78 34 8 3 CONSTRUCCION 121 120 3 9 84 18 6 . GENERACION Y DISTRIOUCION DE ENEAGIA ELECTRICA 1 1 1I...... COMtRCI2 186 168 28 45 67 11 12 4 1 TRANSPjRrtS 76 69 ... 4 27 27 6 1 3 1 SERVICIUS 328 312 95 72 75 38 25 2 3 2 GODIERNJ 93 88 1 10 57 10 7 2 1 INSUFICIENTEMENTE ESPECIF. 282 204 40 46 68 27 16 5 1 1

IXILAHUACAR 1 180 1 016 169 633 165 27 9 9 3 1 AGRICULTURAGANADERIASILVI- CULIURA,PESCA Y CAZA 1 012 868 132 579 136 12 4 3 2 138 CUADRO 29.- POOLACION ECONOMICAMENTE ACTIVA DE 12 ANOB Y MAO, TOTAL Y LA QUE DECLARO INGREC3OS POR GRUPOS DE INGREGO MENGUAL Y RAMA DE ACTIVIDAD

OATOO nEreNrTC AL A'40 o fOSe

ORUPOS DE INGRESO MENSUAL DE LA PORLACION CCONOMICAMENTE ACTIVA DUE DECLARO INGRES.4

MUNICIPIO Y RAMA DE ACTIVIDAO TOTAL HASTA DE200 DE 500 DE'000 DE1500 DE 2 o DE5000 DE1. X0 SUVA 199 A 499 A 999 A l 49) A 2 499 A 4599 A 93999 PIf.: PESOS PESOS PESOS PESOS PESOS PESOS PESOS T S

INOUSTRIA DE TRANSFORNACION 16 16 6 7 1 . , 1 .. e .e I CONSIRUCCIoN 5 5 1 ... 4 ...... ee. .. COMERCIO 39 35 4 19 6 1 2 2 1 TRANSPOATES 8 8 1 1 4 2 v.. ... 00e . SERVIC10S S9 34 16 9 5 1 1 2 .. o... GOGIERNO 20 20 ... 3 5 10 1 1 .. e INSUFICIENTEMENTE ESPECEF. 41 30 9 15 4 1 *so *.e. ***

MANIANILLO 13 270 11 999 994 2 043 5 478 1 832 646 Sl 147 is AGRICULTURAvGANADERIASILVI- CULTURAPESCA V CA2A 4 606 4 020 437 840 2 419 160 95 43 22 4 ICWJ&SFXA DEL PETROLEO 82 78 ... 3 8 14 20 27 5 1 INCUSTRIA EXTRACIVA 54 SI ... 7 16 12 7 4 3 o.. INOUSTRIA OE IRANSFURMACION 918 646 68 146 370 141 70 28 6 17 CONSTRUCCION 705 68T 19 41 365 188 51 17 4 2 GENERACION Y DISTRIBUCICM DE ENERGIA ELECTRICA 42 42 ... 1 11 18 3 4 4 1 COMERCIU 1 159 1 032 68 209 413 125 105 75 23 14 TRANSPORTES 680 651 13 52 251 163 85 67 17 3 SERVICIOS 2 925 2 761 286 585 988 429 264 151 39 19 6081ERNO 1 207 t 171 17 is 345 50o 116 142 L9 6 INShFICIENTEMENTE ESPECIF. 892 660 86 141 290 74 30 23 5 11

MINATITLAN 1 182 892 110 259 351 66 26 6 6 66 AGRICUL TURAGANADER IAvSfLVI'- CULTURA#PESCA Y CAZA 773 533 78 216 207 13 7 3 .. 9 IN1USTRIA EXTRACTIVA a1 76 2 4 51 12 6 .. * 3 . INOUSTRIA DE !RANSFORMACION 61 57 4 14 33 5 ....-.. 1 CO)NSTRUCCION 16 16 1 ... 12 3 00. ... e. COMERCIO 21 19 3 4 5 ... 4 2 1 g.. IRANSPORTES 6 5 ... 1 2 2 0.. o.. SERVICIDS 40 35 7 3 6 11 7 .. I1. GOOZERNO 16 16 ... .. 5 10 .. 1 ... INSUFICIENTEMENTE ESPECIF. 168 133 15 17 30 10 2 ... 1 58

TECOMAN 12 324 10 922 1 066 2 336 5 919 793 429 234 8 55 AGRICULTURA.GANADERIASILVI- I CULTURAPESCA Y CAZA 7 193 6 509 521 1 420 4 063 248 130 78 21 INDUSTRIA DEL PETROLEa 7 7 g.. e. 3 1 1 1 . INDUSTRIA EXTRACTIVA 23 18 1 2 9 5 ...... 1 .INOUSTRIA DE TRANSFURMACION 863 765 82 204 322 86 3.8 16 CONSTRUCCION 299 278 .12 26 177 42 14 3 2 2 GENERACION Y DISTRI8UC1ON DE ENERGIA ELECTRICA 39 37 2 4 9 13 5 4 COMERCIO 956 839 97 176 339 89 77 42 TRANSPORTES 287 254 7 20 135 47 22 14 71 2 SERVICIOS 1 334 1 185 231 272 344 167 101 50 131 7 GO8ERNO 235 219 7 16 130 37 14 8 7 INSUFICIENTEMENTE ESPECIF. 1 088 811 106 198 388 58 27 18 9 7

VILLA DE ALVAREZ 3 184 2 893 306 1 117 1 075 213 96 47 20 19 AGRICLATURAvCANADERIAvS1LVI- CULTURAPESCA Y CALA 1 447 1 314 81 752 414 27 20 11 3 6 INOUSTRIA DEL PETROLE0 3 3 ... 1 1 . .. 1 ...... INOUSTRIA EXTRACTIVA 55 54 ... 15 25 7 5 ... I I INDUSTRIA OE TRANSFORMACION 344 311 33 86 129 32 17 5 6 3 CONSTRUCCION 172 167 1 33 109 21 1 1 1 ..e GENERACION Y DISTRSUCION ENERGIA ELECIRICA 13 12 ... 1 1 3 4 1 1 1 COMERCIO 228 202 25 64 78 15 9 8 2 1 TRANSPORTES 83 76 3 10 43 7 7 5 1 . SERVICIOS -, 485 473 129 100 125 73 27 10 5 4 COBIERNO 127 12k 5 8 76 .21 5 5 0.. 1 INSUFICIENTEMENTE ESPEcIF. 227 160 29 47 74 7 . I ... 2

* ac CUADRO 32. - NUMERO DE ViVIENDAS Y OE 153 OCUPANTES, POR CLADE DE VIVIENOA EGUN EL TIPO DE TENENCIA

CLASE DE VIVIENDA S-GUN EL TPO OETENENtA MUNICIPIO,VIVIENOAS Y OCUPANTES TOTAL PROPIA NO PROPIA

COLIMA VIVIENDAS 41 840 25 089 16 751 OCUPANIES 241 153 150 156 90 997

AAMEAIA VIVIENDAS 2 790 1 769 1 021 OCUPANIES 16 350 10 824 5 526

COLI NA VIVIENDAS 12 291 6 009 6 282 OCUPARTES 72 977 37 o7l 35 907

COMA VIVIENDAS 2 129 1 472 657 OCUPANTES 12 526 8 621 3 705

COQIJINATLAN VIVIENDAS 1 906 1 346 560 OCUPANrES 10 722 7 838 2 884

CUAUTEKOC VIVIENDAS 2 861 2 180 688 OCUPANTES 17 614 13 843 3 766

IX7LANVIACAN VIVIENDAS 793 664 129 OCUPANTES 4 801 4 064. 735 MANZANILLO VIVIENIAS a 557 5 347 3 210 OCUPANTES 46 234 30 335 15 899

HKAT £TLAN VIVIEN0AS 753 632 121 OCIPAN7ES- 4 407 3 768 639 TECONAN VIVIENDAS 7 787 4 487 3 300 OCUPANIES 44 406 26 677 17 729

VILLA DE ALVAREZ VIVIENDAS 1 966 1 183 783 OCUPANTES 11 116 6 9091 4 207 CUADRO 33.- NUMERO DE VIVIENDAS Y DE OCUPANTES. 157 POR CLASE DE VIVIENDA OEQUN EL NUMERO DE CUARTOS

CL ASE DE V IVI E NO A S C G UN EL NU ME r 0 DE CUA R TO S

MUNICIPIO, VIVIENDAS Y OCUPANTES DE I DE 2 I r 3 DE 4 DC 5 Dc 6 DE 7 DE CDE 9 TOTAL CUARTO CUARTOS CUA4TOS CUARTOS CUARTOS CUARTOS CUARTOS CUARTOS C MAS

COLIMA 1 VIVIENDAS 41 640 22 719 11 936 3 952 1 64) 616. 304 21S 107 344 OG684Mt4 .- 241 153 124 529 72 104 -24)7I teL0 -3 927 2 188 1 388 72'" 2 '46

ARMERI A VIVIENOAS 2 790 1 540 629 231 104 31 13 12 9 21 OCUPANTES 16 350 a 690 5 100 1 390 639 195 72 53 40 121

COL IMA VIVIENDAS 12 291 5 615 3 593 1 475 6A 301 157 92 51 109 OCUPANES 72 977 3Z 734 21 890 9 127 4 421 1 973 1 089 576 345 822

,ONALA VIVIENOAS 2 129 1 398 495 90 31 16 6 4 2 O7 OCUPANTES 12 526 7 714 3 269 631 205 122 45 38 9 493

COQUIA7LAN VIVIENOAS £ 906 1 266 411 10S 27 19 13 5 2 5 OCUPANTES 10 722 6 973 2 743 637 141 99 5": 33 8 31

CUAUNTEmOC VIVIENDAS 2 868 1 467 944 291 94 41 13 9 2 17 OCUPANTES 17 614 8 648 5 936 1 809 599 293 96 51 17 85

IXTLANUACAM VIVIENDAS 793 530 206 45 8 1 .. 2 1 OCUPANTES 4 801 3 165 1 269 279 63 4 .g. 16 . 5

rMNZANILLO VtVIENOAS 6 557 4 133 2 451 901 394 114 57 38 10 51 OCUPANTES 46 234 23 201 13 690 5 112 2 214 616 530 259 100 312 NINATITLAN4 VZVIENOAS 753 550 146 41 11 3 1 1 GCUPAN7ES 4 407 3 159 870 283 63 21 ... 9 2

TECOMAN VIVIENDAS 7 767 4 541 2 242 601 186 80 34 44 16 43 KUPANTES 44 406 24 387 13 840 3 677 1 176 538 229 254 93 212

VILLA CE ALVAREZ VIVIENDAS 1 966 1 079 569 179 G7 12 13 12. 6 9 OCUPA1ES 13 116 5 858 3 297 1 122 531 66 70 78 31 63

V. CUADRO 34.- NUMERO DE VIVIENDAS Y DE OCUPANTES, SEGUN EL 161 MATERIAL PREDOMINANTE EN LOS MUROS, TI:CO-40 Y PISOS DE LAS VIVIENOAS

MA T E R I A L PR E D 0 M I NA N T E MUNICIPI0, MATEIZIAL PREDOMINANTE TOTAL r N T E C 1 0 S E N i S 0 S EN IMUNOS,VIVIENDAS Y OCUPANTES CONCRETO0 PALMA 0 T E J A 0 SIMILARES SIMILARES SIMILARES MADERA OTRO TIERRA OTRO

VIVIENDAS 41 840 6 623 9 563 20 121 1 303 4 230 21 690 20 150 OCUPANTCS 241-153 38 031 54 283 116 976 7 498 24 365 126,449 114 704

A005E VIVIENDAS 6 873 243 446 7 605 186 393 3 630 5 243 OCUPANTES 51 648 1 328 2 616 44 211 1 085 2 406 21 422 30 226 LADAILLO 0 7ABIQU! VIVIENVAS 18 008 6 011 1 239 9 047 282 1 429 4 692 13 316 GLUPAN1ES 103 611 34 656 7 180 51 173 1 643 8 359 28 083 75 528 MAO.AA VIvfENDAS 10 114 124 5 546 2 260 776 1 408 9 338 776 OCUPANTES 57 109 666 30 992 13 234 4 436 7 781 52 970 4 139 EM8ARRO VIYIENOAS 1 362 29 591 602 9 131 1 236 126 OCUPANTES 8 733 136 3 616 4 167 58 756 8 036 697 OTRP.OSMATERIALES VIVIENJAS 3 483 216 1 741 607 50 869 2 794 689 OCUPANIES 20 052 1 245 9 879 3 591 276 5 061 15 938 4 114

ARMERIA VIVIENDAS 2 790 330 1 679 635 53 93 1 827 963 OCUPANTES 16 350 1 852 10 064 3 568 304 562 10 921 5 429 ADOBE VIVIENOAS 54 5 20 27 1 1 39 is OCUPANTES 269 29 100 124 4 12 198 71 LADRILLO I TABIQUE VIVIENDAS 1 158 304 343 469 6 36 363 795 OCUPANTES 6 612 1 705 2 040 2 627 51 189 2 133 4 479 MADERA VIVIENDAS 1 065 5 887 113 38 22 975 90 OCUPANTES 6 268 26 5 232 682 210 118 5 774 494 EMBARRO VIVIENDAS 54 51 2 1 s.. 51 3 OCUPANTES 361 ... 350 7 4 0.. 348 13 OTROS MATERIALES VIVIENDAS 459 16 378 24 7 34 399 60 OCUPANTES 2 840 92 2 342 126 35 243 2 468 372 COLIMA VIVIENDAS 12 291 2 576 875 7 225 440 1 175 3 626 8 663 OCUPANTES 72 977 15 684 5 295 42 220 2 747 7 031 22 501 50 476

ADOSE VIVIENDAS 3 834 103 106 3 432 83 110 736 3 098 OCUPANTES 22 272 617 648 19 782 464 741 4 548 17 724 LAORILLO 0 TABIQUE V1VIENOAS 6 237 2 374 140 3 136 108 479 1 031 5 206 OCUPANTES 37 140 14 463 796 18 343 651 2 887 6 557 30 583 MADERA V1VIENDAS 1 314 13 442 346 229 284 1 214 100 SCUPANTES 6 085 88 2 703 2 101 1 494 1 699 7 476 607 ERMARRO VIVIENDAS 314 8 128 140 3 35 287 27 OCUPANTES 1 943 38 780 902 23 200 1 797 146 OTROS MATERIALES VIV(ENOAS 592 7 59 171 17 267 360 232 OCUPANTES 3 537 478 368 1 092 95 1 504 2 121 1 416

COMALA VIVIENDAS 2 129 69 395 1 222 162 281 1 422 707 OCUPANTES 12 526 376 2 271 7 520 802 1 557 8 187 4 339

ADOBE VIVIENOAS 1 168 21 58 1 004 23 62 604 564 OCUPANTES 7 156 104 335 6 199 162 356 3 648 3 508 LAGRILLO 0 TAalQUE VIVICNOAS 198 38 16 108 13 23 88 110 OCUPANTES 1 136 208 74 658 70 126 488 648 MADERA VIVIENDAS 601 5 245 98 124 129 585 16 OCUPANTES 3 320 30 1 418 594 562 716 3 240 80 EMBARRO VIVIENDAS 35 3 25 3 ... 4 30 5 OCUPANTES 209 14 153 24 18 174 35 OTROS MATERIALES V1VIE4DAS 127 2 51 9 2 63 115 12 OCUPANTES 705 20 291 45 8 341 637 68 COQUIMATLAN VIVIENOAS 1 906 66 380 1 320 23 115 1 362 544 OCUPANTES 10 722 363 2 080 7 566 122 591 7 668 3 054

ADOBE VIvIENDAS 808 4 63 711 7 23 527 281 OCUPANTES 4 552 36 372 3 982 32 130 2 952 1 600 LADRILLO 0 TAB10UE VIVIENDAS 370 60 10 278 2 20 149 221 OCUPANTES 2 102 314 40 1 621 16 111 835 1 267 MADERA CUADRO 34.- NUMERO DE VIVIENDAS Y DE OCUPANTE6, GEOUN EL 163 MATERIAL PREDOMINANTE EN LOS MUROS, TECHOS Y PISOS DE LAS VIVIENDAS

M A T C I A L P H r no m I N A N T C MUNICIP30,MATERIAL PREO0MINANTE C N T E C H o s C N PI S 0 S EN MUIROS,VIVIENOAS Y OCUPANTE T CONCRETO0 PALMA 0 TEJA 0 TIERRA OTRO SIMILARES SIMILARES SIMILARES MADERA OTRO

A008E VIVIENOAS 10 33 35 94 8 10 101 79 OCJPffs 951 164 180 517 48 42 566 363 LAORILLO 0 TABIQUE VIVIENOAS 3 643 620 323 2 450 43 207 1 225 2 418 OCUPANTES 20 998 3 560 1 906 14 113 246 1 153 7 160 13 636 NADERA VIVIENOAS 2 538 16 1 723 r04 87 206 2 327 211 OCUPANTES 14 159 94 9 544 2 V34 501 1 086 13 106 1 053 EMBARRO VIVIENOAS 175 5 e5 72 1 12 141 34 OCUPANTES 1 490 26 476 696 7 55 1 291 199 OTROS NATERIALES VIVIENDAS 1 251 45 820 192 9 165 1 089 162 OCUPANTES 6 606 222 4 483 1 113 47 943 5 955 853

VILLA DE. ALVAREZ VIVIEN4OAS 1 966 181 376 1 137 34 236 1 037 929 OCUPANTES 11 li 1 003 2 038 6 473 203 1 399 5 815 5 301

AOBE VIVIENOAS 795 10 22 723 13 27 261 534 OCUPANTES 4 457 57 131 4 051 58 160 1 415 3 042 LADRILLO 0 TASIQUE VIVIENOAS 553 154 28 305 4 62 224 329 OCUPANTES 3 207 875 164 1 73 32 353 1 301 1 906 NADERA VIVIENDAS 318 6 182 46 15 69 305 13 OCUPANTES 1 769 28 953 249 104 435 1 699 70 ENBARRO VIVIENDAS 36 ... 25 9 1 1 32 4 OCUPANTES 253 a.. 177 64 4 6 231 22 TROS NATERIALES VIVIENOAS 264 11 119 54 1 79 215 49 OCUPANTES 1 430 43 613 326 5 443 1 169 261 162 CUADRO 34.- NUMERO DE VIVIENOAS Y DE OCUPANTES, SEGUN EL MATERIAL PREDOMINANTE EN LOS MUROS, TECHOS Y PISOS DE LAS VIVIENDAS

MA T E R I A L P R E D 0 M i N A N T E MUNICIPiO, MATERIAL PREDOMINANTE E N T E C H 0 S I E N PI S 0 S 70 TAL EN MUROS, VIViENDAS Y OCUPANTES CONCRETO0 PALMA 0 T E JA 0 i UADERA OTRO TIERRA OTRO SiMILARES SimiLARES SimiLARES

VIVIENDAS 495 1 206 216 I 14 56 473: 22 OCUPANTES 2 734 5 1 103 1 286 74 266 2 630 104 EM8AftRO VIVIENOAS 132 62 61 "6 125 7 XUPANTES 770 4 345 377 44 732 38 OTROS MATFRIALES VIVIENDAS 101 2 37 54 8 88 13 UCUPA4TES 564 4 220 300 40 519 45 CUAUHTEMOC VIVIENOAS 2 68 353 279 1 561 167 506 1 768 1 100 OCUPANIES I 7 614 2 265 1 804 9 391 948 3 206 10 914 6 700 ADOBE VIVIENOAS 1 561 37 60 1 275 40 129 997 564 OCUPANTES 9 356 197 515 7 601 228 817' 6 026 3 332 LAORILLU 0 TA810UE VIVIENUAS 755 289 29 237 45 155 289 466 OCUPANrES 4 $76 1 882 192 1 493 288 1 023 1 969 2 909 MADEKA VIVIENDAS 342 6 131 24 76 105 323 19 OCUPANrES 2 034 35 852 127 406 614 1 900 134 EMBARRU VIVIENOAS 44 4 13 15 12 32 12 UCUPANTES. 311 26 93 107 65 223 66 OTRAS MATERIALES VIVIENDAS 166 17 26 10 6 107 127 39 OCUPANTES 1 033 125 152 63 26 667 796 237 IX7LAhUACAN VIVIENDAS 793 13 182 523 19 56 717 76 OCUPANTES 4 801 75 1 113 3 188 109 316 4 380 421

A0O8E . VIVIENOAS 59 12 46 54 5 -- OCUPANTES 3586 - -75 - 280 - 333 25 LADRILLU 0 TABIQUE VIVIENOAS 158 10 5 141 2 100 56 OCUPANTES 976 56 MADERA 29 883 651 325 VIVIENOAS 357 2 107 204 17 27 351 6 OCUPANTES 2 114 16 612 227 97 162 2 086 28 EX8ARRO VIVIENOAS 163 45 123 14 179 4 OCUPANTES- 1 137 312 748 72 S118 19 OTROS MATkRIALES VIVIENDAS 36 13 9 13 33 3 OCUPANTES 216 85 50 7 74 192 24 1ANZANILLO VIVIENOAS 557 2 279 2 249 2 795 205 1 029 358 4 199 OCUPANTES 234 2 108 12 189 15 155 1 076 5 704 43 985 22 249 ADOBE VIVIENOAS 251 28 42 147 1 9 25 173 78 OCUPANTES 348 114 218 839 56 121 952 396 LAORILLO 0 TABIQUE VIVIENDAS 871 2 141 343 889 60 438 161 3 690 UCUPANTES 164 1 431 933 10 040 288 2 472 727 19 437 MADERA VIVIENOAS 700 60 518 550 130 442 2 414 286 OCUPANTES 346 295 16 047 3 045 691 2 268 677 3 469 EMBARRO VIViENDAS 299 8 125 137 2 27 270 29 OCUPANTES 767 28 749 819 15 156 1 634 133 OTROS MATERPALES VIVIENUAS 436 42 221 72 4 97 320 116 OCUPANTES 609 240 242 412 28 687 795 614 MINATITLAN VIVIENDAS 753 33 162 391 52 115 666 65 OCUPANTES 407 219 640 2 322 336 690 3 998 409 ADOBE VIVIENDAS 163 1 a 146 2 6 138 25 OCUPANTES 927 7 42 8'6 13 29 782 145 LADRILLO a TABIQUE VIVIENDAS 65 21 2 34 1 7 42 23 OCUPANTES 398 142 6 212 1 37 262 136 MADERA VIVIENDAS 384 a 103 159 46 68 371 13 OCUPANTES 280 49 528 909 297 417 2 180 100 EMBARRU VIVIENDAS 90 32 40 16 89 1 OCUPANTES 492 0.. 181, 223 66 488 4 OTROS MATERIALES VIVIENOAS 51 3 17 12 3 16 48 3 OCUPANTES 310 21 83 62 25 119 286 24 TECONAN VIVIENDAS 787 721 2 986 3 123 148 620 4 883 2 904 OCUPANTES 44 406 4 086 to6589 19 5S~~ 849 3 309 28 080 16 326 CUADRO 35.- NUMERO DE VIVIENDAS Y DE OCUPANTES, 167 SEGUN SU DISPONIL3IL DAD OE AGUA ENTUSADA Y DE ORENAJE *

T 0TA L CON Or ENAJC SIN OnENAJL MUNICIPIO Y FORMA DE A8ASTECIMIENTO DE AGIUAENTUDADA VIVIENOAS OCUr.NTES vIVIEN0AS OCUPANTES vVIfENDAS OCUPANTES

COLINA 41 840 241 153 17 516 99 622 24 324 141 531 DISPONE4 DEA(UA ENTUBADA 32 547 In@ 207 16 746 95 602 15 741 92 685 DENTA OF LA VIVIENDA 22 989 134 734 14 810 85 007 8 179 49 721 FUERA OE LA VIVIENDA 4 559 25 168 1 440 7 630 3 119 17 538 0E LLAVE PUR. 0 HIORANTE 4 999 28 3U5 536 2 965 4 463 25 420 SIN AGUA LNTUCAGA 9 293 52 864 730 4 020 8 563 48 846

AAMERIA 2 790 16 350 750 4 127 2 040 12 223 DISPONEN DE AGUA ENTUSAOA 2 104 12 605 688 3 700 1 416 8 825 DENIRO OELA VIVIENDA 1 436 8 764 594 3 286 842 5 478 FUERA OE LA VIVIENDA 360 2 013 69 378 291 1 635 DE LLAVE PUB. 0 HIDRANTE 308 1 826 25 116 283 1 712 SIN AGUA ENTUSAOA 686 3 745 62 347 624 3 398

COLIMA 12 291 72 977 8 663 51 861 3 428 21 116 DISPONEN DE AGUA ENTUSADA 10 598 62 393 8 638 50 595 1 960 11 798 DENTRO DELA VIVIENDA 6 591 51 129 7 721 45 672 870 5 457 FUERA 0E LA VIV(ENOA 1 259 6 712 750 3 974 509 2 738 OELLAVE PUB. 0 H1ORANTE 748 4 552 167 949 51 3 603 SIN AGUA ENTUaADA 1 693 10 564 225 1 266 1 468 9 318

CONALA 2 129 12 526 337 2 138 1 792 10 388 DISPONEN DE AGJA ENTU8AbA 1 594 9 476 326 2 092 1 268 7 384 DENTRO DE LA VIVIENDA 900 5 734 296 1 919 604 3 815 FUERA DE LA VIVIENDA 169 934 16 101 153 833 DE LLAVE PUB. 0 HIORANTE 525 2 808 14 72 511 2 736 SIN AGUA ENTUSADA 535 3 050 11 46 524 3004

COQUINATLAN 1 906 10 722 296 1 586 1 610 9 134 DISPONEN DE AGUA ENTUSADA 1 407 8 114 268 1 442 1 139 6 672 DENTRO OE LA VIVIENDA 913 5 320 243 1 329 670 3 991 FUERA DE LA VIVIENOA 182 985 16 68 166 917 0E LLAVE PUS. 0 HIORANTE 312 1 809 9 45 303 1 764 SIN AGUA ENTUBAOA 499 2 608 28 146 471 2 462

CUAUNTENOC * 2 868 17 614 826 4 905 2 042 12 709 DISPONEN DEAGUA ENTUBADA 2 158 13 154 756 4 523 1 402 8 631 OEN7RO DE LA VIVIENDA 1 305 6 115 624 3 738 681 4 377 FUERA 0E LA VIVIENDA 311 1 906 65 394 246 1 512 0E LLAVE PUG. 0 HIORANTE 542 3 133 67 391 475 2 742 SIN AGUA ENTUBADA 710 4 460 70 302 640 4 078

IXTLAHUACAN 793 4 801 36 223 757 4 578 DISPONEN DE AGUA ENTU8AOA 315 1 928 30 185 285 1 743 DENTRO DE LA VIVIENDA 166 1-002 25 139 141 863 FUERA DE LA VITVIENDA 46 278 3 33 43 245 DE LLAVE PUS. 0 HIORANTE 103 648 2 13 101 635 SIN AGUA ENTUBADA 478 2 873 6 3 472 2 835

MAN2ANILLO 6 557 46 234 3 649 19 468 4 908 26 766 DISPONEN 0E AGUA ENTUSADA 6 465 34 882 3 499 18 660 2 966 16 222 DENTRO OE LA VIVIENDA 4 280 23 248 3 056 16 381 1. 224 6 867 FUERA DE LA VIVIENOA 1 050 5 651 301 1 491 749 4 160 DE LLAVE PU3. 0 HIORANTE 1 135 5 983 142 788 993 5 195 SIN AGUA ENTUSADA 2 092 11 352 150 808 1 942 10 544

AINATITLAN 753 4 407 46 281 705 4 126 DISPONEN DE AGUA ENTUSADA 305 1 787 41 235 264 1 552 OENTRO0E LA VIVIENDA 170 1 020 35 211 135 009 FUERA DELA VIVIENDA 53 309 5 20 48 289 OELLAVE PUB. 0 HIORANTE 82 -5 1 4 81 454 SIN AGUA ENTUSAOA 448 2 920 7 46 441 2 574 TECONAN 7 787 44 406 2 162 11 977 5 625 32 429 DISPONEN 0E AGUA ENTUSAOA 6 266 36 340 2 050 11 391 4 216 24 949 DENTRO 0E LA VIVIENDA 4 244 24 757 1 779 9 925 2 465 14 832 FUERA DELA VIVIENDA 992 5 633 186 1 025 806 4 608 OE LLAVE PUb. 0 HIORANTE 1 030 5 950 85 441 945 5 509 SI-N AGUA ENTUBADA 1 521 8 066 112 586 1 409 7 480

VILLA DEALVAREZ 1 966 11 116 549 3 054 1 417 8 062 DISPONEN DE AGUA ENTUSADA 1 335 7 608 490 2 699 845 4 909 DENTRO DE LA V1VIENDA 984 5 645 437 2 407 547 3 239 FUERA DE LA VIVIENOA 137 747 29 146 108 601 0E LLAVE PUI. 0 HIORANTE 214 1 216 24 146 190 1 070 SIN AGUA ENTU6A3A 631 - 3 508 59 355 572 3 153

EEL CONCEPTO"FUERA DE LA VIVIENOA,SE REFIEREA DISPONIBILIDADDE AGUA ENTUBADA FUERA DE LA VIVIENDA,PERO DENTRODEL EDIFIC10. CUADRO 3S.-NUMERO DC VIVIENDAS 171 Y DE OCUPANTES, SEGUN DIVERSAS CARACTERISTICAS DE LAS VIVIENDAS

COCINAR TOTALDE COf CIARTO CO CUARTOCOI STIDLE USAOO PARA VIIENDAS CONENEIGIA CONRADIO Y - 010 SOLOCON (-EPAHO ma LETiNAR MItCIPt0, VIVIENDAS Y OCUPANTES y ELECTRICA TELEVISION CONRADIO TELEVISION CONAGUA QUENO SE USA LENA FETROLEO GAS TAUBIENCOMO 0 0 0 DEOCANTES CORIEN'TE DORuDMITOkIOCARSON TRACTOLINAELECTRICIOAOI

VIVIENOAS 41 840 24 471 4 506 28 304 301 18 622 30 502 21 450 5 403 14 981 OCUPANTES 241 153 143 378 28 117 166 171 1 716 107 280 179 510 123 689 30 141 67 323

ARMEAIA VIVIE0IOAS 2 790 1 425 134 1 936 10 1 030 1 979 1 736 190 664 OCUPANIES 16 450 6 511 781 11 654 56 5 951 11 690 10 208 1 020 5 122

COL IMA VIVIENCOAS 12 291 9 235 2 684 7 644 159 7 970 9 898 3 658 2 400 6 025 OCUPATES 72 577 55 199 17 295 45 393 924 47 354 59 281 22 749 14 102 36 126

COKALA VIVICNDAS 2 129 771 133 1 455 10 446 1 578 1 724 79 326 OCUPANTES 12 526 4 955 829 . 923 58 2 676 9 435 10 055 436 2 033

COOUIXATLAN VIVIENDAS 1 906 853 94 1 340 17 379 1 406 1 535 114 257 OCUPANTES 10 722 4 938 524 7 779 103 2 260 7 967 8 706 581 1 435

CUAUNTEMOCVIVIENOAS 868 2 1 658 232 2 044 10 948 2 235 1 844 337 687 OCUPANrES 17 1114 10 409 1 414 12 994 68 696 13 986 11 424 1 907 4 2a3

IXTLANUACAA- VIVIENOAS 793 115 47 504 1 90 565 759 11 23 OCUPANTES 4 801 783 282 3 128 12 513 3 548 4 604 58 139

MANZANILLOVIVIENOAS a 557 5 333 508 6 331 40 3 905 5 676 3 431 1 293 3 833 OCUPANTES 46 234 28 911 2 903 34 780 194 21 033 32 590 16 766 6 120 20 740

NINATI1TLAN4 VIVIENOAS 753 35 25 442 .. 6 7 452 707 24 22 OCUPANTES .4 407 222 170 2 743 377 2 665 4 151 111 138

TCEOMAN VIVIENOAS 7 767 4 016 456 5 192 45 3 147- 5 043 4 732 695 2 360 OCUPANTES 44 406 23 375 2 722 30 548 225 17 999 29 640 26 809 3 729 13 868

VILLA 0E ALVAREZ VIVIENDAS 1 966 1 028 195 1 416 15 640 1 470 1 124 252 590 OCUPANTES 11 116 6 069 1 197 8 229 76 3 429 8 508 6 217 1 460 3 439 X POPULATION AND HOUSING CENSUS OF COLIMA - 1980 Divisi6n Municipal del Estado de Colima

Kf

001 ARMERIA 006 IXTLAHUACAN 002 COLIMA 007 MANZANILLO 003 COMALA 008 MINATITLAN 004 COQUIMATLAN 009 TECOMAN 005 CUAUHTEMOC 010 VILLA DE ALVAREZ

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"'.4c& do /fj -.0ratao D0 7~ v~~J Z,,A C.i~ _A? A7UI ZJJ.O iecOM- -. -- j *f..j'A- 111 )- / AIO.c~ la' pa" nd '1h ~ '? 6~,~ Von PCjL iA, ,, ',j it N.. t~ .*EG NIO. pa9 1z,. x-7

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ooa5

!w A 0A IELA0 o' 0r Numero do localidades por municipio, sogun tamaAo de la localidad CUADRO No. I

TAMARO Of LA LOCALIDAO TOTAL Uifitt0 i E 100 S08 000 2 0n 2500 000 10000 15000 20 00 50000 100Ul soo0001000 000 t .999 -9 4099 -9299|-14999 -19999 -49999 99999 .492999 999199 YMAS OADES W- MAI. "Al. HAI. "At. HAL HAS. HAB. HAA. HA. HAI. HAS. HAI.

TOTAL 72A se le 24 16 5 5 I I - -

ARMERIA ii 19 6 3 I 11 1 COLIMA I05 :2 15 2 - - - - COMALA 53 32 6 2 3 1 -- - - - COOUIMATLAN 30 17 9 2 -I- - -

CUAUHTEMOC is 26 3 3 3- -

IXTLAHUACAN 34 25 & - 1 ------

MANZANILLO &9 40 33 9 3 I I - - - - -

MINATITLAN 3? 25 10 - I - I - - - -

TECOMAN 245 229 12 3 2 1 2 ------

VILLADEALVAREZ 62 54 7 ------1

21 Poblacl6n total por municiplo y tamatto do la localidad segun sexo CUADRONo. 2

MUNICIPIOY TAMA40 TOTAL NOMURES MUJERES MUNICIPIOY TAMANO TOTAL HOM8RES MUJERES 0ELA LOCALIOAO OE LA LOCALIDAD

TOTAL 346 293 172 453 173 880 CUAUHTEMOC 22 .97 11 360 11 337

£ - 99 HAS. 8 520 4 402 4 318 - 99 HAA. 480? 209 195 100 - 499 ,AS. 28 755 1% 776 13 979 100 - 499 HAS. 988 495 489 oU 999 HAS. 17 111S : 70 5 l ;r3 500 - 999 "Ab. 2 2131 I 120 1 391 3000 - )999 MAS. 22 105 330 30 805 1000 - 1999 NAb. 3 517 1799 1 783 2006 - 2499 HAS. 11 209- 5 690 5 519 1000 - 2499 AS. 2 271 1 117 1 134 2 0u - 4999 NAS. 21 73 30 829 10 6'42 5040 - 9999 HAs. 13 i5? 6 605 6 682 5000 - 9999% AP. 35 %72 17 760 17 712 10001 - 1499V HA6. 12 692 6 o06 6 284 IXTLAHUACAN 4 786 2 422 2 364 3500, - 19999 WA6. 17 448 0 496 8 950 20000 - 49999 MAS. 85 459 42 663 42 596 I - 99 Nab. 755 401 354 SO00 - 999V NAS. 66 044 41 222 44 822 100 - 499 HAB. 2 137 1 098 1 039 10%0 - 1999 hAB. 1 894 923 973 ARMERIA 21 847 1 086 13 761 MANZANILLO 7 290 37 255 36 035 1 - 99 "As. 236 115 121 IOU 499 MAe. I 574 856 716 I - 99 NAS. 822 820 802 500 - 999 HAS. 2 361 3 169 1 192 100 - 499 mAd. 5 362 8 306 8 356 1001 - 1999 MAS. 1 723 880 843 500 - 999 NAs. 6 152 3 163 2 989 2500 - 4999 HAS. 3 241 1 636 1 65 1000 - 1999 N48. 4 740 2 441 2 299 10000 - 18999 HAS. 12 692 6 808 6 288 2000 - 2499 ha8. 2 440 1 253 1 189 i500 - 4999 98. 4 b31 2 354 2 277 COLIMA 100 428 48 554 51 08 5000 - 9999 HAS. 7 355 3 5791 3 476 20000 - 49999 MAe. 39 .61 19 741 19 347 I - 99 HAs. 1 676 663 613 100 - %99 HAS. 3 538 1 821 3 693 MINATITLAN 6 676 3 618 3 254 500 - 999 NAB. 1 098 550 88e 1001 - 1999 NAS. 5 390 2 $18 2 572 - 99 HAS. 592 300 292 2500 - 4999 HAS. 2 710 1 2860 1 430 100 - 499 HAS. 2 110 1 093 1 017 50000 - 99999 NAB. Sb 044 81 222 8 022 1000 - 1999 HAS. 1 386 609 877 2500 - 8999 as. 3 C88 1 616 1 472 COMALA IS 823 7 881 7 936 TECOMAN 67 064 33 622 33 442 1 - 99 HAB. 449 237 212 100 - 499 "As. 3 242 1 b6l 1 601 I - 99 HAS. 2 3%7 3 228 1 119 500 - 999 HAS. I 593 799 794 100 899 HAS. 3 348 1 693 1 655 1000 - 1999 HAS. 1 160 547 613 S0 - 999 MAS. 2 315 1 160; 1 155 2000 - 2499 HAS. 2 071 1 043 1 028 100 - 1999 HAS. ? 575 1 288 1 287 5000 - 9999 HAS. 7 300 3 620 3 688 2000 - 2499 HAS. 2 307 1 188 1 119 2500 - %999 "AS. 7 601 3 943 3 856 COQUIMATLAN 13 941 7 071 6 670 2000 - %9999 HAS. 46 371 23 122 23 289

1 - 99 HAs. 251 129 122 VILLA DE ALVAREZ 19 511 9 578 9 963 100 - 499 HAP. 2 376 1 191 1 165 500 - 999 MAS. 1 372 724 648 I - 99 HAS. 985 Soo 485 2000 - 2499 HAS. 2 120 1 071 1 049 100 - 499 HAS. 1 108 580 528 5000 - 9999 HAS. 7 822 3 956 3 866 15000 - 19999 NAB. 17 88 8%98 a 950

23 r Poblaci6n de 12 anos y ms por municiplo y sexo segun estado clvil CUAORo 2

ESTAOO CIVIL

MUNICI~t0 PO8LACION 1 EN MATRIMONIO 0E 12 AROS Y SEX YE1AS LTOUNION SEPARA. DIVOR. NO ESPE. TOTAL CIVIL RELIGIOSO CIVIL Y LIBRE 005 CIADOS CIFICA00 RELIGIOSO CFCO

TOTAL 223 221 95 ass 100 13S 12 745 3 669 £3 7Z4 19 663 2 792 8 591 692 250

MOMSWE5. 110 269 50 721 9 393 6 2£3 1 777 91 330 7 132 855 1 &%1 203 127 112 XUJERES 912 '5 16 50 7418 6 962 I 92 42 394 7 51 1 921 6 110 469 123

ARMERIA 13 a11 S 190 6 062 969 315 4 713 1 442 215 Ole 26 -s

NO"RES 1 027 3 167 2 966 961 191 2 310 683 79 200 9 23 EUJERES 6 644 2 423 3 096 999 199 2 403 759 136 38 17 -25

COLIMA 61 251 30 519 29 079 3 573 610 29 £56 3 339 £33 3 13£ 320 56

NOM5RES 31 682 14 957 14 2S9 1 142 306 12 211 1 566 22£ 560 99 1: U0.ERES 31 199 1 562 14 620 1 831 344 12 691 1 773 672 2 576 226 3

COMALA 10 031 4 925 4 196 194 312 4 490 27 109 1 0 121 7

HOMBRES 1 006 2 391 2 3.3 93 51 2 199 123 6 9 9 6 MUJERES 1 029 2 030 2 453 101 61 2 291 is5 63 319 £ 1

COOUIMATLAN 6 714 3 779 3 939 294 160 3 465 540 9a 339 9 10

MOMBRES 4 411 2 061 1 945 143 66 1 716 251 40 10£ 1 1 MUJERES % 303 1 716 1 994 151 94 1 749 289 58 1 231 a 5

CUAUHTEMOC 14 927 6 736 6 691 268 158 6 265 326 l1Z 526 26 10

HOnIeRES 7 230 3 574 3 319 133 77 3 109 161 I '6 96 I7 MU)ERES 7 217 3 162 3 372 135 e1 3 156 165 64 430 19 1

IXTLAHUACAN 2 987 1 344 1 251 60 66 1 105 258 27 100 5 2

m0M8QES 1 S05 726 613 38 32 543 121 10 32 2 1 MUJERES 1 482 616 638 42 34 562 137 17 68 3 1

MANZANILLO 46 911 18 626 21 126 9 111 £69 16 100 9 35 181 1 665 164 31

M0MPRES 29 028 10 526 10 756 2 088 923 8 245 2 133 184 355 59 17 MUJERES 22 929 s 100 10 710 2 069 446 A 255 2 225 403 1 307 110 19

MINATITLAN 9 183 1 719 2 125 218 64 1 643 150 47 130 7 5

1MMRES 2 260 1 090 1 079 112 33 934 76 17 il 9 3 MU.ERE5 1 923 079 1 046 106 31 909 74 30 59 3 2

TECOMAN 42 263 17 684 I8 8651 2 516 1 053 15 299 3 575 627 1 332 109 73

N0M8RES 21 090 9 500 9 274 1 232 516 7 526 1 716 167 352 29 47 NUJERES 21 163 6 189 9 594 1 284 37 7 773 1 859 462 j 90 d0 26

VILLADEALVARE2 12 S03 5 463 5 801 961 132 5 186 611 133 465 19 8

HOMBRES b 060 2 775 2 836 237 62 2 531 302 36 135 4 2 MU9jERES 6 443 2 688 2 965 24 70 2 651 315 94 363 is . 6

33 Poblacion econ6micamente activa por municipio y rama de actividad econ6mica, segun grupos de ingreso mensual CUADRo 0

GRUPOSVE INGRESO MENSUAL POStACIO MUNICIPIOY RAMA 0E ECONOMICA- No ACTIVIOAOECONOMICA MENTE RECiE 13A 1A 1 1I A 12111A ACTIVA ING 50 08 170 3610 6610 12 I1 22 170 PESOSY ESPECI- SOS PESOS PESOS PESOS PESOS PESOS PESOS PESOS MAS ICAGO

TOTAL 10 a 75 I1 129 I 792 4 180 5 510 26 *89 31 395 16 937 9 512 1 121 6 019

AGRIC., 6*AAO., CAZA. ETC. 3 0 291 4 160 9. 122 3 401 II 229 7 902 2 155 345 1 590 1 J5s EIPLOT. UE 9INA5 T CAhTER A 922 11 5, 11 19 137 291 102 28 1NOUSTRIA5 MANuFACTURER&5 a 15 261 190 I 306 902 1 738 2 747 I 359 329 103 503 LLECtRICIDAO. A.* T Au*A 470 9 5 1 21 392 17. 57 24 33 CON51UCLIGN 7 310 250 72 266 1 713 3 050 1 130 1973 6S. 389 COMERCIO MAYORLO T M...0LO 111 381 217 530 702 1706 3 906 1 726 580 244 634 1*4ASPO#RIE, COmNEICAC.htL. S 332 170 128 499 2 126 1 237 314 248 LS1ABLLC. FINAkCIEw0., ETC. 320 21 7 22 93 369 992 201 60 sERVICIOS L00MUALES. ETC. 164 913 I 792 326 A023 1 310 2 175 9 226 3 710 1 010 291 *85 ACTIVIDAOES Ih.1UF. ESPLCIV. 26 707 I 823 960 898 1 298 1 371 7 595 I 9 1139 1 163 426 1 609 0ESOCUP. NO MAN TRA*AJACv 953 25. 6, 28 21 27 1 87 bas ARMERIA 6 993 65692 357 280 318 1 649 1 651 139 105 1 149 IS? A8RIC., GA., ClUA. ETC. 2 670 349 97 9, 106 391 726 242 52 66 393 LIPLOT. DE MINAS Y C hTER&I 496 3 19 12 1 10 INOUSTRIAS MAwuFACIEERAS 525 1S 21 26 126 1991 2234 2 III ELECTRICIDAO. AS Y A6UA* 26 8 2 10 2. CONSTRUCCION 262 15 15 7 67 25 42 I to? COMERC1O MAYR0E0 Y Mk#0EO I 512 68 37 28 29 102 107 93 12 99 1RANSPORTE. Coru0.CACIONES, 369 21 12 75 92 55 17 11 70 ESTABLEC. FINACIE(01. ETC. 29 4 5' lo SERVICIOS COMUN4ALES, ETC. 547 96b97 37 47 92 194 106 17 I 7 4 ACIIVIOAES INSUF. ESPECIF. I 751 382 68 89 365 339 26 9 288 DESOCUP. NO MAN TRAAjA00 39 11 8 7 - 1 7 44 so COLIMA 31 662 3 079 I 970 1 709 6 000 9 089 1 971 779 1 470

AGRTC., GAkA0., CAZA. ETC. 3 656 936 ls9 144 959 707 13 139 92 160 EXPLOT. OE MINAS Y CANTERAS1 169 5212 3 6 22 32 25 12 INOUSTRIAS MAWUFACTURZERAS 2 772 186 17 132 169199 586 868 129 150 ELECTRICIDAD. *As Y AGuA 76 2 2 18 13 3 CONSTRUCCION 2 445 75 167 72 96 657 1 004 266 72 144 COMERCIO MAOREO Y MENu0tO 104 245 209 269 981 1 098 626 258 its 197 COMUjCA:0cNES, 970 1RANSPORT, 43 28 36 259 561 363 jaa 29 40 LSTABLEC. FINANCIEROS. ETC. 602 11 2 10 33 157 222 1 104 98 13 COMuNALES, ETC. SERVICIOS 6 996 366 525 596 a8s9 1 693 716 570 163 363 ACTIVIDAOES INSUF. ESPECIF. 9 9 11 1 110 156 311 499 1 649 2 948 1 660 557 1 222 349 DESOCUP. NO MANTRAAJA00 161 101 143' 3 2 7 3 3 39 S4-9 COMALA 921 856 115 302 316 1 783 911 236 35 323

AGRIC.. .AkAD., CAZA, ETC. 103 20 114 111 973 326 13 21 117 EXPLOT. 0E MINA5 T CANERA* 5 of 1 INLUSTRIAS MANuFACTU;E*AS 256 13 11 16 91 315 , 3 73 71 22 ELECTRICIOA0, oAS Y AG.A* 1 CONSTRUCCION 229 17 s1 78 97 23 9 5 10 - COMERC1O MAoR3 T MENkUEO 362 10 34 21 91 101 3 23 IRANSPORTE, COMUNICACICNLS, 104 1, 6 27 31 9 ESTA8LEC. FINA9CIE2TS, ETC. 14 239 2 2 S -9 SEAV*C105 COMUNALES, ETC. 361 42 2 37 12436 60 60 is ACIIvI0ADE5 INSUF. ESPtCIr. I 466 95 107 965 226 60 102 DESOCUP. NO HAN TPA8AJA0CO 20 2 3

COQUIMATLAN 054 69e 236 239 899 152 1 36S 26 9- 35 1 173 -22 -8 AGRIC., 6AA0., C*ZA. 060 1249 872 359 b63 ETC. 380 114 29 75 EXPLOT. UE MINAS T CANTERA, 1 -s INDUSTRIAS MANvFACTU.EA1s 186 10 15 11 56 61 16 21 5 ELECTRICIOAO, AS 7 AGua *1 6357 -O 21Ii- I CONSTRUCCION 183 17 7 1 11 4 COMERCIO MA.YORLO v EOE0 228 13 19 16- 81 57 3 5 1RANSPORE, COMUNICACIONES, 96 5I 2 20 48 19 3, 13 3 ESIABLEC. FINANCIERCS. ETC. 17 21 - 5EAVCIOS COMUNALES, ETC. 301 39) - I 36 25 39 71 1 9 ACT91VOAGE!( Ih UF.1 EsPLCIF. 955 22 30 96 98 27 65 17 68 0E50CUP. NO MAN RA8AA00 22 13519 1 A *3 CUAUHTEMOC 219 637 197 305 -2 C31 776 135 117 Is AGkIC., ANA0.. CAZA, ETC. 007 239 70 131 1 92 195 3c 96 EXPLUT. UE MINAS V CA.TERAS 249 107 1 7 1 INUSTRIAS MANUFACTU" ERS 752 10 - 18 !6 315 LLLCTRICICAO, 'AS V AGu 6 21 2 C0NST05CC10O 303 9 59 167 39 71 2 COMERCIO WAYUPto Y OhUCEOI 333 35 I 1: 26 88 104 4 96 6 *RANSPORIE, CO9U'4ICa,: hs,S 279 91 6 2 9829 56 - I 5 LSTALEC. FINA?4CIECS. ETC. 30 15 3; SERVICIOS COMUNALES, ETC. 719 168* a6 - a5 105 103 103 165P 39 ACTIVIDA ES INSUF. EPtCIr. 746 16* 30 35 1351111 6 217 65 24 29 UrSOCUP. Ao M1A I*APAJADW 20 15 1 2 2

IXTLAHUACAN 4C 309 I 72 69 198 60 91 T AGRIC., 9AAD., CAZA, L C. 012 235 6 37 955 138 15 60 LPLO. DE MINAS Y CANERAN I NUSIRIAS .A uFACTU.QAS$ 32 6 2 611 6 LEEC(TICIDAD, UA5 V AfLA 2 2 2 CONSTRUCLIuN 94 71 3 26 COMERCIO MAYTQLC Y MEhuCED 39 S. 2 10 6 10AN5POif, CC-UsTICACI14*S. 14 2 6 3 2 L51AdLLC. FI6AhCIEi0s, ETC. 3 2 SE*VICIO COMUhALE, EIC. 59 5 19 12 8

57 Poblacion total por municipio de residencia y lugar de nacimiento segun sexo CUADAO 11

MUNICIPIODE RESICEIMC1A MNUNIC!PIOOE RiSIDENCIA Y LUGAR 01, NACiMt 930 TOTAL HOMEREf MUJEl0L Y EUGARDE NACIMIENTO TOTAL HOMRES MUJRES

TOTAL 346 293 172 853 173 6 Nj NACIOUS Et0 Toth E TiDAC 2 831 1 993' 1 96. kAC100' EN OTROPAIS 37 19 18 WAC1085 E LA ET10AD 260 331 070 131 258 NOE.P:.CIFICADO 429 26 NAC100S Eu Of" (A1080 83 .60 42 076 8AC1005 ( 01O P61. 739 19 32 . IXTLAHUACAN 8 7368 2 %22 2 36 80 ESPECIF ICAbO 363 88! *0 8AC1005 CM LA ENTIAD 3 9683 2 009 1 951 ARMERIA 21 979 065 I U761 NACIv~b EN OTRA ENT.IL)AD 798 397 397 NACu1,05E 0100 PA15 12 8, 4 NACI065 EN LA E71060 16 128 237 7 891 40 E.PECIFtCA00 23 8' 12 NACIOuS (8 01,A ETIDAD 296 2 37 2 t59 NAC1005 (N 0 T0 PAl a 03 201 23 MANZANILLO 13 2901 3 7 2SS 38 035 N0ESPEC1FICA0.0 369 198 18e NAtiwOSEN LA ENTIOAD 89 1468 2 529 24 617 COLIMA 10.3 28 48 554 si 67% NACI~OO (N 0TeAETIA 2! 597 12 4987 11 144 NACI.05 EN0Tr PA15 190 108 ACIO05 E LA ETICAO 768 l99 37 Cob6 39 433 N0ESPLCIFICADO 357 171 186 NACIDOS E GTA ENTIVAD 23 399 11 195 12 20% NACIDOS Eh u1k0 0A*I8 233 10 1 899 MINATITLAN 6 6768 3 616 3 258 NOESPECIFICA8O 297 124 16 kACiu05. ENLA LNITLAO 5 11 2 6868 2 495 COMALA 823 7 7 936 AC1005 EN 1TeAENTIOO 2 657 921 736 kAC10058 E 000 PAIS 6 NACIOS E( LA E1TICAD 98 291 7 307 N0 ESPECIFICAO 0 32 I I 21 NAC105 fN E8T10AD(TA 19 0971 585 MACIOOS E OTO PAIS 20 1u TECOMAN 67 86 3 3 622 33 442 NOESPECIFICAoO 106 59 0 1 sa I (AC1005 EM LA ETA 0 47 315 3 339 , 23 681 COQUIMATLAN 22 941 6 671 NAC1005 EN GTRA ENTIDAD 19 579 3 037 |I 9 5%2 k6C1005 Em OTO PAIS 147 69 NACIDOS EN LA ET10AD 11 56 S NO E ,PECIFIlCADOO 323 173 ISO 1ACIDOS E8 ORA EN110AD 2 257 1 133 NACI0OS E OTR0PAIS 21 1M VILLA DE ALVAREZ 19 541 - 9 578 9 963 NOESPECIF!CAGCi 95 87 ACI005 EN LA ENT10AD 8 15 6 391 CUAUHTEMOC 22 697 11 3bC 11 33?7 NAC1005 EN 1 TRA*EN11DA0 2 8571 1 395 1 512 NACIOOS E 0190 PAIS0 186 12 NACIDOS EN LA ED1A 19 687 882 9 805 NOEaPECIFICA00 107 S7, 49

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00 ACTIVIOAO ICO9IUICA RAMARAbIAOE ACTIVIDADE SCOCMICA EIEC. POSLACION LORICUL. ~pto. COMERCI0 At %Pit%rtf5.TASt ECI F1 ACTIVt. OESOCU- ECONomi. AGRI CUL - 1E XPto0- ELE C- A ',IS- MUNICIPIO PIOUS. CONS. PORMAYGA TR CMUAES. BABES IN PA000 TURA.GA- TACI0 ALME %A. -IRcS. y TRIAS MA- CO- Y Al PORME. TF SUPFICIEN- DUEE0 CAMENTE NADERIA. E MI. BAD, TRUC- 'Awtsfo11. Id' J k S. sc:TALES Y i(MENTE GRUPOSOf INGRES0 ACTIVA CAZA.Sit NASY NUFACTU- CIoN NOR RESTAU COMu-41CA. PERSONA- HAN TRA- RERAAS GASY RAliES LES ESPECI* VICULTU- CANTERAS Y CIONES I IC 8AJADO RAY FESICACN A AGUA H073 IES FICADAS 3. 20 11 37 73 591 - 600 PC So$ 300 £3 2 1, - 72 PSOS 437 1.6 30 63 a 601 - 1030 IT% 13 - 92 3ual- 19460 PESOS 9467 179 25 70 177 3 59 100 19 2 1961 - 1970 PESOS 199 291 40 I 136 7 390 1971 4670 PESOS 2 136 1 0?7 121 23 291 56 375 397 159 9 234 &5 2671 - 3610 PESOS 5 119 2 991 256 1 43 2 is 696 3611 - 9360 PESOS 3 796 1 819 ilb 191 339 259 217 2 132 3S6 239 95 30 120 4491 - 6610 PE SOS 2 650 799 33; 33 31 211 393 71 61* 146 261 2 661 - 4950 PESOS 1 153 3 106 130 l91 12110 PESO$ 315 217 66 144 19 54 29 249 43 62 12111 - 16390 PESOS 3283 69 3 23 11 2 41 33 16393 - 22170 PESOS 1964 5, 39 32 24 9. 1' 17 22171 -I300 PE SO$ 107 49 4 43 12 30001 v "AS PESOS 93 2;- 13 1 5 201 90 34 90 ESPECIFICAOO 783 325 82 6 1 42 5 715 1 239 133 590 329 4 1 516 VILLA DE ALVAREZ 13 S 5 69; 42 184 2 NO RECIDE INGRESOS 992 137 19 37 17 - 14 24 I- 435 PESOS 32 2| - I - - PESOS 24 30 436 590 2S 2 to 7; 30 191 - 300 PESOS 25 10 35 21 1161 12 - 19 33 S01 - 1030 PESOS 39 Is 6 - 32 1081 - 1460 PESOS 150 34 41 91 Ill 9 2 12S 1461 - 1970 PESOS 230 46 30 26 92 21 1338 1971 - 2670 PESOS 197 213 4161 65 1 93 132 68 249 - 2671 - 3610 PESOS 1 030 309 96 63 .3 392 110' 99 64 7 13 234 3611 - %890 PESOS 163 11I 113 799 so 73 I9i 60 12 12 232 491 - 6610 PESOS 92 1 125 94 61£ - 6950 PESOS 9119 39 45 26 24 57 .22 26 20 7 8951 - 12110 PESOS 249 44 29 21 9 33 19 12111 - 16390 PESOS 63 9 12 13 16391 - 22170 PESOS 5 1' 2j 22171 - 30000 PESOS 12 3 51 S2 9 3 -b] 13 2 30001 mAS9 PESOS 365 1 249 120 NO ESPECIFICAO0 69 22

89 Poblaclon que cambi6 de lugar de residencia por municipio de residencia actual y lugar de residencia anterior segun tiempo de residencia CUADRO No. 14

TIEMPODE RESI0ENCIA POSLACION MUNICIPIODE RESI0ENCIAACTUAL 0UE CAMS0IO Y LUGAR DE RESI0EiIA ANTERIOR DE LUGAROf MENOSoE I DE I A4 S ArfOS Y NO ESPE- RESIDENCIA ANO AAOS MAS i CIFICAO0

TOTAL 69 29 1 130 1 Se9 35 548 090

AGUASCALIENTES 197 25 50 95 21 BAJA CALIFORNIA NO*IE 2 061 292 733 636 1 220 BAJA CALIFOANI A SuB 220 36 90 61 33 CAMPECHE 7 i5 39 22 7 COAHUILA 362 s9 121 152 30 COLIMA - - -- CHIAPAS 1 IS2 102 83) 114 105 CHIHUAHUA 490 53 68 191 2 DISTRITO FEDERAL 2 L6 56S 1 029 1 359 233 DURANGO 306 f4 1 Bs 24 ESTADO DE MEXICO 1 172 217 309 53 113 GUANAJUATO 2 607 993 548 538 228 6UERRERO 36$ g4 is 93 90 HIDALGO 25 499 2 713 6 101 17 091 2 SO9 JALISCO 2 162 297 745 81 239 "ICHOACAN 11 563 1 120 2 568 7 113 1 052 MORELOS 175 28 68 6S 17 NATARIT 710 90 184 351 45 NUEVO LEON 434 a5 179 124 46 OAXACA 509 86 194 180 49 PUEBLA 333 36 145 122 30 QUERETARO 1#4 39 42 BS 18 OUINTANA ROO 79 15 29 26 9 SAN LUIS POTOSI 342 43 90 17 22 SINALOA 972 116 334 %29 93 SONORA 637 101 I8s 265 &3 TABASCO 113 42 31 34 6 TAMAULIPAS 430 36 139 208 47 TLAXCALA si is 15 22 S VCRACRUZ 1 486 293 553 451 159 YUCATAN 71 16 36 is 4 ZACATECAS 753 117 3o6 355 AS EL EXTRANJERO 3 250 507 1 155 9S4 334 NO ESPECIFICA0O 4 344 550 1 105 2 66 21

ARMERIA ' 4 103 372 820 2 325 S6

AGUASCALIENTES 3 1 2 - BAJA CALIFORNIA NORTE 06 15 91 32 15 BAJA CALIFORNIA SUR 10 4 3 - 3 CAMPFCHE - - - COAHUILA 5 - 3 9 1 COLIMA ---- CHIAPAS 12 - - 12 - CHIHUAHUA 19 - 2 11 1 DISTRITO FEDERAL 55 5 8 30 12 OURAN6O 2 1 - - 1 ESTADO DE MEXICO 35 3 25' 6 6UANAJUATO 60 22 a 24 6 GUERRERO 6 - - s H10AL60 1 691 134 244 1 049 264 JALISCO 98 12 1I 50 18 MICHOACAN 938 N6 195 540 157 MORELOS 6 1 1 2 2 NAYARIT 57 10 23 16 NUEVO LEON 6 - N 4 OAXACA 9 -4 2 3 PUEBLA 4 - 1 3 QUERETARO 11 3 - 7 OUINTANA R00 6 -I1 - SAN LUIS POTOSI - - S - SINALOA 33 19 7 6 SONORA 24 3 33 a TABASCO 2 - 1 - I TAMAULIPAS 27 10 13 3 TLAXCALA - - - VERACRUZ 39 3 9 25 2 YUCATAN - - - ZACATECAS 9 - - 3 B EL LXTRANJERO 239 46 62 74 57 NO ESPECIFICADO 5R6 62 131 387 6

COLIMA 20 567 2 283 5 795 13 776 1 713

AGUASCALIENTES lOS 15 20 61 9 BAJA CALIFORNIA NORTE 740 73 256 340 73 BAJA CALIFORNIA SUR 46 a 17 12 9 CAMPECHE 16 - 6 2 COAHUILA 16 26 69 5 is COLIMA - -- - CHIAPAS 60 9 692 6 73 CHIHUAHUA 16 36 50 77 5 DISITO FEDERAL 1 461 272 509 582 98 DURANGO 105 16 31 s a ES1AO0 DE MEXICO 27b 62 72 122 20 GUANAJUATO 146 17 49 57 23 GUERRER. 99 15 21 St 9 HIDALO S 614 721 1 910 5 234 719 JALISCO 7231 9 212 386 74 MICHEACAN 3 336 278 SI A 93 2 240 MORELOS 71 6 27 39 9 NAYARII 231 31 S6 . I3I 33 NUEvO LEON 19% 47 6 63 1? OAXACA 120 % 39 65 12

91 Poblaci6n que camb i de lugar de residencia por municipio de residencia actual y lugar de residencia CUADRO No. 14 anterior segun tiempo de residencia wei

IEEMPO01 RESIOENCIA POSLACION MUNICIPIOOE RESIOENCIA ACTUAL 0UE LC610 Y LUGAR DERESIDENCIA ANTEPIOR Of LOAR DE MENOSDE DE1 A4 5 AOS Y NO ESPE- RESIDENCIA AND AN0S MAS CIFICADO

PUEBLA 125 14 56 5 le OUERETABO 1 9 9e 22 35 S QUINTANA ROO 10 1 2 7 SAN LUl PO1051 116 40 S9 9 SIMALOA 269 22 31 141 25 SONGOA 217 28 1 55 99 35 TABASCO 56 30 16 7 3 TAMAULIPAS 134 10 49 60 15 TLAXCALA 27 9 3 I4 VERACRUZ 257 39 91 106 21 YUCATAN s15 4 1 - ZACATECA S 165 24 52 17 12 EL ExTRANJEe0 I Oss 20- 423 335 93 NO ESPECIFICAO 57 111 206 537 3

COMALA 1 193 136 287 611 109

AGUASCALIENTES 4 2 1 - BAJA LALIFORNIA NORIE 2I 2 16 8 2 BAJA CALIF0kNIA SUR I- - CAMPECHE - - COAHUILA 2-2 COLIMA-- CHIAPAS 20 14 3 3 CHIHUAHUA 33 7 1 DISTRITO FEUERAL 56 9 2 14 17 DURAN60 - - I ES1A00 DE MEXICO a 3 4 - GUANAJUATO 2 - - GUERRERO 4 1 1 2 HIDALGO 513 25 75 369 44 JALISCO 41 - 30 7 4 MICHOACAN 69 9 8 46 6 MORELOS 5 2 1 2 - NAVARIT 10 3 6 1 NUEVO LEON - - -- OAXACA - - PUEBLA - - QUERETAR0 - - QUINTANARO - - -- SAN LUIS POTI05 - - - - SINALOA 6 -13 2 SONORA 17 2 10 4 TABASCO - - TAMAULIPAS 8 6 TLAXCALA - VERACRUZ S - 3 4 3 YUCATAN -- ZACATECAS 2 - 2 EL EXTRANJERO 151 37 56 27 31 90 ESPECIFICAOO 167 17 44 104 2 COOUIMATLAN 1 708 221 3%8 956 lei

AGUASCALIENTES a - -4 9 BAJA CALIFORNIA NORTE 90 11 41 28 10 BAJA CALIFORNIA SUR 4 - 3 - CAMPECHE 3 - 3-- COAHUILA 11 6 - 3 2 COLIMA - -- CMIAPAS 31 CMIMUAHUA 9 - 3 I 2 DISTRITO FEDEWAL -9 3 7 1 DURANGO 42 - E51A00 OE MEX1CO1e 2 7 GUANAJUATO 3- - 3- GUERRERO --- HIDALGO 819 95 124 519 81 JALISCO 38 3 13 20 2 MICHOACAN 308 %G 68 173 27 MORELOS 8 - 3 1 NAYARIT 19 - 6 9 9 NuE 0 LEON 5 OAXACA - - - - PUCLA 5- 3 2 - QUEREIARC - - - QUI91ANA 200 - - - - SAN LUIS PO1OSI 1 - - - SINALOA 25 4 11 8 2 50MNURA - 2 TABASLO - -- IAMAULIPAS 3 - 2- TLACALA - - vERACRUZ 1- 2 10 2 YUCATAN I ZACATECAS 11 - ' EL LXI9ANJE 4O 1%2 37 123 NO E5P ECCiCfC.^ 131 11 17 103 -

CUAUHTEMOC 1 776 990 . 591 1 312 163

AGUASCALIENIES - 3 6JA CALIFCsiNA CIE 50 26 19 2 8JA LALIFORIa SUR - - - -

92 Poblacl6n que cambi6 de lugar de residencia por municipio do residencia actual y lugar do residencia CUADRO No. 14 anterior segOn tiompo de residencia conunwsice

TIEMPODE RESIDENCIA POGLACION MUNICIPI0 DERESIOENCIA ACTUAL - UE CAMBIO Y LUGAR DE RiSIOENCIA ANTERIOR DELUGAR 0E MENOSDE I DE I A4 SAAS V NO ESPf- RESIOENCIA ANO AA0S MAS CIFICAGO

CAMPECHE - - - COAMUILA 6 7 C OL IA - -- CHIAPAS 1032- C1I1UANUA 16-79- 10 DISTRITO FEDERAL 47 11 17 136 OURANGO - 8 1 ESTADO DE EXICO I - 41 2 GUANAJUATO 594 553 IZ 6 23 GUERERO I - - £ * IOALGO 1 206' 246 208 668 68 JALISCO 61 12 21 21 1 MICHCACAN 223 30 70 115 a MORELOS 2 -1 NAYART1 18 13 3 1 NUEVO LEON 2 1 - I OAXACA 2 2- PUEBLA 1 37 QUERETAR0 I 1 -- QUINTANA R00 - 2 - - SAN LUIS POTOS1 - S 1 SINALOA 17 3 5 S s"NORA i 1 7F9 TABASCO 2 1 - TAMAULIPAS 4 1 - 2 TLAxCALA I - I - VERACRUZ 3 1 20 14 3 VUCATAN - - - ZACATECAS 2 - - 2 - EL EXTRANJERO 313 301 130 66 16 NO ESPECIFICAO0 101 21 35 85 -

IXT1LAHUACAN 731 62 116 521 32

AGUASCALIENTES - - - BAJA CALIFORNIA NORI 37 11 1 BAJA CALIFORNIA SUR - - CAMPECHE - - COAHUILA COLIMA -- CHIAPAS 10 6 -- CHIHUAHUA - - 05181R0 FEDERAL - - - DURAN-O ESTADO DEMEXICO 2 - I - GUANAJUATO 30 9 1 17 3 1 GUERRERO 1 - I - I HIDALGO 9 97 JALISCO MICHOACAN 453 19 60 355 17 MORELO- - - NAY ARI T 3 -3 - - NUEVO LEON - - - - - OAXACA--- PUEBLA 1 - 1 - QUERETARO - - - - QUINTANA ROO --- 1 SAN LUIS POTOSI - - - SINALOA 3 2 - 1 SONORA - I - TABA SCO - -- TAMAULIPAS TLA ACALA - - - - - VERACRUZ - -- YUCATAN - - - - ZACATECAS 1 - - EL EXTRANJERO 52 13 16 14 9 NOESPECIFI8A %2 2 6 3

MANZANILLO 19 819 2 98S 6 085 9 170 1 619

AGUASCALIENTES 8 11 17 19 1 BAJA CALIFORNIA NORTE 621 118 189 240 74 BAJA CALIFORNIA 5jR 137 22 60 1 14 CAMPECHE 27 2 13 12 - CUAMUILA 69 17 20 24 6 COLIMA - F - - - CHIAPAS 131 19 60 3S 17 CHIHUAHUA 111 9 50o5 7 DISTRITO FEDERAL 923 226 3S7 257 83 DURANGO 77 1% 27 31 S ESTADO DE MEXICO 290 79 77 93 41 6UANAJUATO F1 06 327 647 290 182 GE RRE RO 201 57 99 20 25 HIDALGO 7 909 773 1 828 4 667 641 JALISCO 770 142 289 253 86 MICw0ACAN 2 198 278 540 1 228 152 MORLLOS 54 1 1 28 12 -3 NAYARIT 200 24 54 103 19 NhEVO LEON 173 32 95 31 15 OAXACA 326 73 131 93 29 PUCotA 136 13 70 46 7 OUENETARO 49 1s I11 OUINTANA ROO 53 1 19 16 1 SAN LUIS POTOSI 82 19 24 33 6 SINALOA 468 65 167 197 36

93 , 1 - - ZIA

Poblacl6n que cambI6 de lugar de residencia por municipio de residencia actual y lugar do residencia CUAROo No.14 anterior segon tiempo do residencia continuaci6n

TIEMPODE AESIDENCIA POOLACION MUNICItI0 CE RESIDENCIAACTUAL CUE CAMBI0 Y LUGARDE RESIDENCIAANTERIOR OELUGAR DE MENOSDEI OE1 A 4 6AROS Y NO ESPE- RESICENCIA Ai0 AAOS MAS CIFICADO

1AaSSONORA C,6 0291 245 499 go50 a7187 291 TASASCO 37 9 10 17 TAMAUalPA4 172 Is SS 60 22 TLAICALA 2? 6 12 8 .1 $62 2103ERACRUZ 379 172 106 YUCATAN 50 10 24 13 3 ZACATECAS 129 1: 9 61 EL EXTRANJERO 4S4 126 159 19 19 N ESPECIFICADO 1369 162 416 776 j I

MINATITLAN 1 412 232 491 598 91

A6UASCALIENTE1 - - 1 BAJA CALIFORNIA NORTE i5 - ,7 3 BAJA CALIFORNIA SuR 2 - 2 CAMPECHE --- - COAHUILA 19 10 7 COLIMA -- - - CHIAPAS 34 - 34 - CHIHUAHUA 38 1 1 1 DIS0RIT0 FEDERAL 66 14 26 23 3 DURANGO I - ESTACO DE MEXICO 24 19 7 3 6UANAJUATO 26 3 10 11 2 GUERRERO 17 6 6 3 HIDALGO all 131 292 397 91 JALISCO 19 1 9 4 MICHOACAN 122 14 46 42 16 MORELOS I NAYARIT 13 - 71 NUEVO LEON S 1 1 3 OAXACA 3 - - I PUEtA 1 - - - QUEREIARO 3 1- 1 QUINTANA RO I - - - SAN LUIS POTOSI 2 2 - - SINALOA 9 - 3 6 - SONORA 31 1 a 1 TABASCO I - -- TAMAULIPAS 6 1 3 TLAXCALA - - - - VERACRUZ 21 4 6 4 3 YUCATAN - ZACATECAS 26 6 3 16 EL EXTRANJEO 51 12 20 11 a NO LSPECIFICAO 63 10 25 28 -

TECOMAN 14 683 1 543 3 471 S 260 1 389

AGUASCALILNTES 23 * 8 BAJA CALIFORNIA NORTE 326 54 121 120 31 BAJA CALIFORNIA SUP 15 1 - 4 6 CAMPECHE 26 9 12 4 COAMUILA 69 9 is 3 2 COLIMA CHIAPAS 36 4 19 11 2 CMIHUAHUA 49 - 17 21 11 DISTRITO FEDERAL 212 29 61 106 19 DURANGO 110 6 24 70 8 ESTADO OE MLXIC0 f485 53 106 265 36 GUANAJUATO 319 62 139 30 GUERRERO 39 3 6 9 3 HIDALGO S 650 457 1 231 3 392 170 JALISCO 314 26 117 141 30 MICHOACAN 4 306 392 941 2 531 442 MOOLLOS 29 6 6 13 4 NAYARIT 140 13 22 to 17 NUEVO LEON 91 2 11 19 9 OAXACA 40 6 16 13 S PUEBLA 41 6 12 is 5 OUEPE1 ARO 36 2 4 28 2 QUINTANA N0o 6 1 1 SAN LUIS P0105I 129 13 26 64 6 SINALOA 116 is 38 9 14 SONORA 81 19 16 41 S 1AeASCO 15 2 3 9 1 TAMAULIPAS 60 9 19 39 3 TLAxCALA 2 - - 2 VERACRUi 196 16 74 68 16 YUCATAN 2 - - I ZACAIECAS 389 6. 79 206 40 EL LXIRANJERO 609 160 189 202 5 NO ESPECIFICADO 773 309 162 S01

VILLA DE ALVAREZ 2 355 306 605 1 237 207

AGUASCALIENTES - - - BAJA CALIFOANIA NiRIE 6s 15 31 31 13 BAJA CALIFOHNIA SUP % 1 2 - CAMPECHL 6 4 CGAHUILA I 9 - - 6 COLIMA - - CHIAPAS 39 9 19 7 9 CHIMUA4UA 22 - 22 * DISTRITO FEIIERAL to 1 17 2. 9 DuRANO 2 -1-

94 Poblacl6n que cambio de lugar de residencia por municiplo de residencia actual y lugar de residencia CUADRO No. 14 anterior segun tiempo de residencia contui6fl

N TIEWO Of RESIDENCIA POOLACION MUNtCIP!0 OERESIDENCIA ACTUAL QUECAMBIM Y LUGAR OERESIDIENCIA ANTERIOR OELUGAR E MENS A4 6 AOS Y NOESPE- RESI0ENCIA A0 AAOS MAS CIFICAO0

ESTA00 BE M.XICO 3I - 1? 6 6 GUANAJUATO 21 - 6 GUERRERO - - - HIDALGO 1 112 122 238 699 113 JALISCO 95 12 36 36 14 ICMOACAN 232 19 52 Isi Is NORELO S - - NAVARI1T 19 - 10 I NUEVO LEON 3 1 2 CAXACA 11 3 4 4 PuEbLA 6 1 2 1 I QUERE1ARO -- QU1NAA 00 - -- SAN LUlI POTOSI1 SINALOA 261 9 12 9 SONORA 1e 1 9 1 TABASCO - TAMAULIPAS 16 2 10- TLAXCALA VERACRUZ 51 16 4 23 3 YUCATAN 2 - 1 1 - ZACATECAs 1 . 3 1 EL EXTRANJERO 11 69 60 32 20 NO ESPECIFICAO0 240 25 63 Il5 I

95 Viviendas particulares por municipio y numero de ocupantes segOn numero de dormitorios CUAoRO No. 17

NUMERO0E DORMITORIOS

MUNICIPOINUMERO TOTAE0E OEOCUPANTES VIVIENOAS No PARTICULAJES j 2 3 4 6 YMAS ESPCIFICAO0

TOTAL 61 270 34 870 18 193 7 332 1 a35 617 1 363

0OCUPANTE f 264 3 307 660 102 26 25 11f 2 OCUPATES 7 .30 5 435 1 410 339 53 33 160 3 OCUPA6TLS 609 5 570 2 114 573 113 32 202 4 OCUPA04TE5 9 162 5 236 2 624 497 171 59 205 S 0CuP AT5t 8 043 340 j 2 415 1 135 26 55 172 6 0CUPANTES 6 863 3 317 2 105 0 020 262 74 125 7 OcUPANTE. 5 635 2 502 1 844 R73 243 74 102 8 OCUPANTES a 626 1 966 1 560 712 229 68 93 9 Y MAS OCUPAAIES 9 836 3 519 3 631 0 661 558 257 190

ARMERIA 6 01 2 316 1 137 319 73 2: 165

1 OCUPANIL 320 237 58 1o 1 13 2 OCUPANTES 60 385 64 12 - 3 O.UPAhiLS 496 357 97 17 - 20 4 OCUPAN10S 527 350 125 2 4 1 22 5 OCUPANTES 654 267 133 29 4 6 17 6 OCUPANILS 383 191 130 41 9 3 8 7 OCUPAEILS 352 167 036 31 8 1 9 8 OCUPANIES 306 143 132 44 9 3 10 9 Y PAS 0CUPANTE5 663 218 291 111 36 10 28

COLIMA 19 %34 3 860 5 869 3 293 962 33? 253

1 OCUPAN7E 1 307 1 045 171 8 9 7 27 2 OCUPANYES 2 344 1 549 549 176 19 16 35 3 OCUPANTE5 2 772 1 531 8136 313 51 16 38 4 OCUPANTIS 3 00 - 1 329 1 043 '81 9 26 39 S OCUPANTES 2 516 919 833 591 113 29 31 6 OLUPANTES 2 0.9 732 666 F75 137 40 21 7 OCUPANTES 1 Sol 544 690 66 121 62 18 OCUPAN1S 1 277 425 608 268 98 35 13 9 H.MASOCUPAEILS 2 56 766 8648 553 218 128 31

COMALA 2 860 1 896 706 165 42 11 60

I OUPAN10. 1.3 174 6 - - - 3 2 OCUPANIES 361 294 SO 7 3 3 6 3 OCUPANTES 337 255 69 3 2 - 8 4 OCUPANTES 355 2466 86 8 F I - 14 5 OCUPANTES 298 201 73 17 F 2 - 6 OCUPANTES 3,4 F 197 88 21 11 2 5 7 OCUPANkIS 2.3 162 74 F 16 3 2 6 8 0CUPAN1ES 229 117 a1 21 3 2 5 9 Y MAS OCUPANTES sic 250 179 52 17 4 F

COQUIMATLAN 2 523 1 747 582 112 27 12 43

1 OCUPANTE '13 131 6F 2 OCUPANTES 296 235 46 S 2 9 3 OCUPANT4S 310 F 252 65 F - 8 4. 07UPANTES 348 258 65 9 2 - 6 S 0UP1015 1 311 220 71 12 1 6 6 OCUPANIS 2t7 184 69 10 2 - 2 7 OCuPAr4TES 222 F 131 65 183 S 0CUPANTES 212 132 58 1 4 2 2 9 V MAS OCUPAhTES 626 206 159 40 13 7 4

CUAUHTEMOC J279 2 000 1 231 407 1034 32 53

I OCUPANTE 215 103 22 6 12 2 CCUPANE 5 395 290 86 12 - 2 3 OCUPANTES 07 285 102 14 - 4 OCUPANTLS 506 297 151 33 12 3 12 5 OCUPAN105 4,em 206 15%i s 9 16 6 OGUPANTES 4"5 234 149 41 8 F 7 OCUPAALS 3t5 167 123 48 22 1 4 * 0)UPANTES 3,1 135 122 45 15 3 1 9 P8AS 0CUP8hE5 767 203 322 160 34 F 18 10

IXTLAAUACAN 828 997 264 36 13 3 18

I OCUPANI E 52 46 2 1 2 Or-UPANIES 95 F 71 19 1- 3 0UPANTtS 79 58 23 - - - 4 OLUPANTES -7 9 - - - 5 0UPANTES 78 42 27 2 2 1 6 6 0CUPah7E5 8 59 35 - 7 OCUPANTLS 78 46 2 6 - - 8 OCUPANTES 90 F8 30 6 F - 3 9 MAS OCUPANT.ES 161 66 68 16 F 2 3

MANZANILLO 14 22 7 ;14 3 951 1 %70 333 114 420

1 OCUPATL 976 762 137 25 7 7 40 2 OCUPANTES 1 769 1 280 332 77 OUPANLS 2 031 1 3%7 470 122 F 7 2OCUPAATLS134 1 261 568 220F 31 i5 60 5 OCUPNTES I 051 770 552 219 4 F 56 6 0CUPAN75 0 563 793 653 225 38 7 66 7 OCUPAk TLS I 1t 58 416 178 37 11 33 S OCUPNTE 895 355 313 17 6 11 25 9 MA5 H OCUPATES 1 003 636 712 277 92 37 49

101 Viviendas particulares por municiplo y numero do CUADRONo. 17 ocupantes segOn numero de dormitorios conuslon

cUMEROOE 0ORMITORIOS

IAUNICIPIOYNUMERO 7T DOf DEOCUPANTES VIVIENCAS No PAR71CULARES 1 2 3 4 6Y MA ESPCIRICAOO

MINATITLAN 1 264 746 333 156 23 5 17

I GCUPAkIL 6: *0 4 1 - - 3 2 OCUPAkIES 146 122 16 S 1 2 3 0CUPAktES 179 111 39 19 8 - 2 % 0CUPAkhES 1*6 90 %6 27 1 1 3 S OCUPANILS 171 92 39 35 3 - 2 6 OCUPANTES 132 72 31 26 1 1 1 7 OCUPAkTES 105 51 35 is 6 1 I OCUPANTES 03 s0 23 9 - - 2 9 Y "AS OCUPAkICS 209 100 t0 22 3 1 3

TECOMAN 11 792 6 $76 3 167 1 070 21?7 103 279

1 OCUPANTE 606 $12 $9 10 $ a 14 2 OCUPAMTES 1 168 926 Ito 30 7 2 23 3 OCUPANiS 1 565 1 094 347 66 10 5 43 4 OCUPAkIES 1 934 998 373 a5 24 11 .3 B OCUPANUES 1 469 852 41 13S 19 9 37 6 OCUPANTES . 216 654 355 336 31 9 29 7 OCUPANTES 1 139 563 360 151 33 12. 23 6 0CUPAATES 935 o24 323 112 41 6 27 9 7 PAS OCUPANTES 2 15 &53 776 340 110 39 '0

VILLA DE ALVAREZ 3 $29 2 034 973 322 87 36 75

1 OCUPANTE 190 1$? 2 1 2 4 2 OCUPAkIES 376 263 70 12 19 3 OCUPANTES %33 266 109 15 4 43 * oCUPANTES 497 317 135 27 a 2 $ OCUPANTES 451 271 119 44 5 2 10 & OCUPANTES 369 201 I10 40 4 7 7 7 OCUPANTES 306 t63 119 46 6 5 5 6 OCUPAkiES 260 137 90 27 17 4 5 9 Y PAS OCUPATES 567 219 196 110 3 10 14

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NUMEROOf CUARTOS TOTALDE MUNICIPIOY NUME11O VIVIENDAS NO DEOCUPANTES PARTICUEA. 2 3Y S ESC FICADO

MINATITLAN 1 264 526 347 16 s1 2 3 - 2 37

I OCUPANTE 68 39 1' 4 6 1 - - 2 OLUPANITS 16 so 25 13 6 2 1 2 - - - 3 OCUPANTES 1?9 70 -62 .1 1 - - - - 2 9 OCUPAkILS 168 61 2 2b 32 - - - - 3 OCUPAkTES 7 I 63 'i 24 2 3 - 2 OCUPAkTES 132 50 37 23 3 - I 7 OCUPANLS l0 41 30 21 14 1 -- - 1 * OCUPANTES £3 93 21 . 7 | - - - - 2 9 T PAS OCUPANTES 209 71 91 29 10 3 1 1 3

TECOMAN 11 79? 5 197 3 868 1 549 S64 20U 66 31 16 22 279

I OLUPANL 60£ 375 156 to 11 3 2 3 3 1 19 2 OCUPANTES I 16£ 663 347 Be 30 9 3 - 1 4 23 3 0CUPAN1C5 1 565 £0 469 179 46 1 I5 1 3 - 1 43 9 OCUPAPES 3 534 760 972 356 61 21 9 5 3 4 43 5 OCUPANICS 1 469 645 979 11£ 75 29 11 2 - 3 37- 6 OCUPANTLS 1 26 499 17 163 62 33 7 5 1 2 29 1 OCUPANTLS 1 139 99. 399 173 :3 23 7 3 2 23 £ OCUPANTES 935 334 326 } 1o& 67 17 9 2 1 2 27 9 PMAS OCUPANTES 2 15£ 669 601 939 399 54 20 : 4 3 40

VILLA DE ALVAREZ 3 529 1 364 | 1 262 49 2J$ 73 33 33 9 6 75

I 0CUPANTE' 190 99 53 ?3 4 - - 4 2 OCUPANIES 376 181 129 3£ 18 3 9 3 OCUPANILS 933 360 i5 93 27 6 6 1 i - 13 9 OCUPAkTES 497 203 162 63 27 9 1 2 1 1 8 OCUPANTES 951 170 176 5£ 22 10 4 10 6 OCUPANTES 369 193 129 63 13 6 2 6 7 7 OCUPANTES 346 132 116 59 23 6 1 2 - - S 8 OCUPANTES 260 109 92 40 23 13 2 1 - 5 9 Y MAS OCUPANTES 567 152 227 109 51 a 12 1 - 3 14

104 Viviendas- y ocupantes por municipiO, tipo y clase de vivienda CUADRO18 I MUNICIPIO,TWO Y CEASEVVENA OCATI MUNICIPIO,TOYCLA3E ECUPANTES IINA OC ATE VIVTENOAS Of VIVIENOA OEVIVIENDA VVEO CPNE

TOTAL 346 293 CUAUHTEMOC 3 956. 22 697

VIVIENLAAPARTICULAR 342 268 VIV14NUA PARTICULAN It 2? 007

CONSTAUCCION fljA 338 200 CONSTRUCCIONt FIJA 3 76.. 21 662 VIVIENOA MOvIL 2 205 ViVIENOA MOVIL a2 REFUGIO C4"%) VIvIENOA 1 953 REFuGIO CuMO VIVIENOA 21 121

VIVIENOA COLLCTIVA 4 03S VIvIENUA COLECTIVA 129 690 HOTEL. PENSION, ETC. 2 632 HOTEL, PENSION. ETC. 121 69 HOSPITAL, CLINILA, ET%. 10 MVUSPITAL, CLINICA, ETC. ORFANATORIO. MOT.PICIO, ETC A9 OwFANATORIO. HOSPICIO. ETC 3 Il INTERNAO0 ESCOLAR 63 INTERNAO0 ESCOLAR CONVENTO. SEPINARIO. LTC. CONVENTO, SEMINARIO. ETC. CARCEL, PRISION, ETC. %36 CARCEL. PRISION, ETC. 0TRACLASE 1 4i OTRACLASE ARMERIA 21 647 IXTLAHUACAN 630 16 29 VIVIENLJA PARTICULAR 21 597 VIVI4NDA PARTICULAR 626

CONSTRUCCiON FIjA 21 242 CONSTRUCCION FliJA *19 VIVIENDA MOVIL 57 VIVIENDA MOVIL 29 2 9 REFUGIO COMO VIVIENOA 298 REFUGIO COMO VIVIENOA 7

VIVIENOA COLECIIVA 250 VIVIENDA COLECTIVA 2 1

HOTEL, PENSION, ETC. 61 HUTEL, PENSION, ETC. HOSPITAL, CLINICA, ETL. HOSPI.1AL, CLINICA. ETC. - ORFANATORIO, HOSPICIO, ETC. ORFANATORIO, HOSPICIO, ETC 4718410 IN1ERNADO ESCOLAR INTERNA00 ESCOLAR CONVENTO, SLMINARIO. LTC. CONVENTO, SEMINARIO, ETC. 464 CARCEL, PkISION, ETC. CARCEL, PRISION, ETC. ORA CLASE 168 0TRA CLASE

COLIMA 100 426 MANZANILLO 19 3496 73 290

VIVIENDA PARTICULAR 99 438 VIVIENDA FARTICULAR 14 202 TI 991

CONSTRUCCION FI.JA 98 Sl CONSTRUCCION FIJA 13 965 70 858 VIVIENOA MOVIL 476 VIVIENDA MOVIL 115 969 REFUGIO COMO VIVIENOA 31 REFUGIO COMO VIVIETA 122 619

VIVIENDA COLECTIVA 990 VIVILNDA COLECTIVA 116 1 39

HOTEL, PENSION, ETC. 291 HOTEL, PENSION, ETC. 85 335 HOSPITAL, CLINICA, ETL. HOSPITAL. CLINICA, ETC. ORFANATORIO, HCSPICIO, ETC 96 ORFANATORIO, HOSPICIO, ETC 3 INTERNAOO ESCOLAR 47 91 INTERNADO ESCOLAR CONVENTO, SEMINARIO, LTC. CONVENTO, SEMINARIO, ETC. CARCEL, PRISION, ETC. 430 CARCEL, PRISION, ETC. OTRA CLASE 225 OTRA CLASE 56 992

COMALA 15 823 MINATITLAN 286 6 676

VIVIENOA PARTICULAR 15 798 VIVIENDA PARTICULAR 262 6 767

CONSTWUCCION FIjA 15 703 CONSTRUCCION FIjA 262 6 152 VIVIENOA MOVIL so VIVIENDA MOVIL REFUGIO COMO VIVIENOA 45 REFUGIO COMO VIVIENOA 10

VIVIENOA COLECTIVA 25 VIVIENOA COLECTIVA 22 II HOTEL, PENSION, ETC. HOTEL, PENSION, ETC. 6 209 HOSPITAL, CLINICA, ETL. VuSPITAL, CLINICA, ETC. 2 ORFANATORIO, HOSPICIO, ETC ORFANATORIO, HOSPICO. ETC INTERNADO ESCOLAR INTERNATO ESCOLAR CONVENTO, SEMINARIO, LTC. CONVENTO, SEPINAI', ETC. CARCEL, PRISION, LTC. CARCEL, PRISION. ETC. OTRA CLASE 25 OIRA CLASE 77

COOUIMATLAN 13 9492 TECOMAN 67 064 11 VIVIENA PARTICULAR 13 921 8 IVIENOA PARTICULAR 66 543 18 CONSTRUCCION FrIJA 13 603 CONSTRUCCION FYJA 65 603 VIVIENDA MOVIL 9s VIVIENOA VOVIL 611 REFUGIO COMO VI2c.NDA 23 REFUGIO COMO VIVIENOA 61 329 op VIVIENUA COLEC1IVA 20 VINIENOA COLECTIVA 107 522

HOTEL, PENSION. ETC. 20 muTEL, PENSION, ETC. 58 278 HOSPITAL, CLINICA, ETE. HUSPITAL, CLINICA. ETC. ORFANATORIO, HOSPICIO, LTC OkFANATORIO, HOSPICIO. ETC 10 INITEPNADO ESCOLAR INTERNA0O ESCOLAR 16 CONENTO, SEMINARIO, LTC. CONVEN1O, SEMINARIO, LTC. CARCEL, PAISIN. ETC. CARCEL, PRISION, ETC. OTRA CLASL oIRA CLASE 95 217

75 Viviendas y ocupantes por municlpio, tipo CUADRO IS y class do vivienda

MUNICIP10.TWO Y CLASE v~iMUM OCUPARTES MtJNIUM0t.TWOY CLASE VIVIENDAS OCUWA471S OEVIVIENDA DEVIVIENDA

VILLA DE ALVAREZ 3 $40 19 ski WVIILPUA COLECIIVA 11 10

WIEwOAPARIICULAA 3 129 29 0 1

ComiSTRuCCION FTJA 3 413 19 its ORF N& 0 0,. HOSPICIO,ET VIVICEdDA P40VIL 41 204 WEN0 5ECOLAR REFUGJO COMO WIVIENOA is ?9 COftVEN10, SE1I4NAR1O. EC CARCEL, PRIS3QN, ETC. 3 O3RA CLASE I17

76 Viviendas particulares por municiplo, material predominante en pisos y paredes segOn material predominante en techos cuADo19

MATERIALEN TECHOS

MUNICIV,AMATERIALSENPtSTL LAMINA PALMA, LAMINADE LOSAOE CONCRETO. YPAREDES PARTICULARES DE TEJAMANILASEUSTO 0 TEJA SOVEDADELADRILLO, 0TR01 N 0 AADERA METALCA TERRADOENLAORILLA. MAATERIAL5. ESPSCIICAO0 CARTON 00 SOBHEVIGAS

TOTAL 64 270 a 254 4 784 12 314 17 912 is S80 779 1 346 LAMINA DE CARTON 2 839 2 107 160 264 133 s0 9 136 CARRI2O, BAMBU0 PALMA 5 9%2 ~1 613 2 271 91 7 976 1 50 46 69 EMBARRO0 6AJAREQUE 1 916 486 224 264 756 122 23 17 MADERA 3 139 1 396 527 472 663 37 29 13 LAMINA DE *58[570 0 METAL 1 339 66 71 625 177 264 16 120 A00E 5 113 594 139 1 064 5 a57 371 95 43 TAB10UE,TABICON.BLOCK.ETC. 37 955 1 722 1 189 6 242' 638 17 555 377 232 OTROS MATERIALES 1 9 231 165 370 589 341 229 24 MATERIAL NO ESPECIFICAO0 1 C03 37 36 74 16 904 TIERRA 20 659 6 438 3 592 4 026 5 307 900 16 228 LAMINA DE CARTON 2 456 1 669 197 228 62 23 6 63 CA6R2C. SAMOU0 PALMA 5 339 1 548 2 091 77#4 52 33 34 12 EMARR 0 SAJAREQUE 1 435 991 192 168 562 33 1 1 MADERA 2 524 1 214 46 325 j 491 14 19 5 LAMINA CE ASBESTO 0 METAL 426 44 9 1911 66 47 3 26 AOBE 2 173 410 59 376 1 263 42 9 14 TABIQUE.TABIC0N,8LOCA.ETC. 5 960 690 497 1 620 1 734 669 46 29 OTROS MAEIALES 711 164 130 127. 200 32 51 7 MATERIALNO. ESPECIFICA00 116 1 21 19 37 7 - 1A CE0E18 0 FIRME 1 29 529 1 639 1 062 7 335 10 928 7 900 402 243 LAMINA 0E CARTON 273 168 10 33 21 25 3 13 CARR120, SAMOU0 PALMA 536 55 206 134 115 16 6 2 EM4BARRO0 BAJAREQUE 909 41 33 105 153 57 9 11 MADERA 516 152 59 123 157 36 7 2 LAMINA OE ASBEST0 0 METAL 755 20 19 375 99 173 12 57 AD09E a622 163 57 569 3 781 196 2% 12 TABIQUETABOCON,BLOCEETC. 21 020 965 S 716 6 168 7 194 223 100 OTROSMATERIALES 91 56 31 210 343 171 )1& MATERIAL NO ESPECIFICADO 262 19 13 50 91 52 34 MOSAICO U OTRO RECUBRIMIENTO 32 970 126 60 891 1 00 010013 4

LAMINA DE CARTON 33 16 - I 6 2 - 6 CARRIZO, BAMBU0 PALMA 27 2 101 5 4 1 1 E8ARRO 0 BAJAREOUE 66 1 1 10 20 32 1 1 mADERA 74 23 32 19 11 7 2 - LAMINA OEASESTO 0 METAL 107 2 1 48a 10 39 1 6 ADOBE 1 065 13 22 93 791 131 11 4 TA2IQUE.TABICON. L0CK,ETC. I1 26 62 30 681 707 9 630 104 55 1TROS MATERIALES 279 9 4 30 39 135 59 3 %ATERI.AL NOESPECIFICADO 50 - - q 10 27 1 PISO NO ESPECIFICA00 330 60 77 76 71 793

LAMINA DE CARTON 75 34 3 2 2 - -34 CARRIZO, BA04U 0 PALMA 45 14 4 5 EMBARRO0 BAJAREUE i3- 3 - -I MADERA 25 9 - 5 - LAMINA DE ASSESTO 0 METAL 49 - 2 1I 2 5 - 29 ADOBE 53 a I 6 22 2 1 13 TA5IQUE.TAbIC0N,3LOCK.ETC. 166 S 8 25 29 62 4 53 OROS MATERIALES 3 2 - 3 2 3 1 2 MA1ERIAL MO ESPECIFICAO0 655 - 2 10 9 - 6 a ARMERIA 011 229 1 %12 863 804 521 4 139

LAMINA DE CARTON 59 29 12 1 8 2 - 7 CARRIZO, SAMBU0 *ALMA 1 289 104 657 143 140 1 14 12 17 EM0ARRO 0 BAJAREQUE 87 2 37 19 19 6& 2 2 MADERA 157 6*2 29 37 2 2 2 LAMINA DEASSESTO 0 METAL 76 2 9 27 14 17 - 7 ADOBE 55 7 13 12 19 2 - 2 TABIQUE,TABICON,8toCK,ETC. 2 005 59 316 600 532 466 19 13 0TR05 MATERIALES 163 8 75 30 28 7 13 2 MATERIAL NO ESPECIFICA00 120 3 11 7 S - 87

T1ERRA 1 657 165 1 046 265' 286 33 22 1s

LAMINA DE CARTON 46 26 12 6 1 - - CARRIZO, BAMBU 0 PALMA 1 116 100 742 f 11: 116 9 92 EMBARRO0 SAJAREQUE 3 23 4 6 2 2 - MADERA 105j a 59 16 20 1 - I LAMINA GE ASSESTO 0 METAL 28 1 8 6! 2 -1 ADOBE 21 3 6 7 1- - 1ASIUE,TABICON,BLOCK,ETC. 395 19 134 112 108 16 4 2 OTROS MATERIALES 97 % 54 17 14 1 7 - 6ATERIAL NO ESPECIFICAD0 21 3 10 2 9 - - 2 CERENTO0 F1RME 1 758 51 348 537 486 297 20 17

LAMINA DECARTCN 1 2 - - I - 3 CARRIZO, BAMBu 0 PALMA 163 b 105 25 20 5 2 - EMBARRO0 BAJAREQUE 46 1 16 i 12 2 - 2 MADERA 50 - 23 7 16 1 2 LA1MINA DE A5ESTO 0 METAL 40 1 3 Is 5 12 3 ADUBE 29 37 5 .13 - TABIQUE,TABIC0N,800Cv,ETC. 1 355 37 177 952 %0 270 11 4 0105 MA8TERIALES 59 I 19 10 1 35 2 *11ERIAL NO LSPECIFICADO 12 5 3 3

77 -4

Viviendas particulares por municipio, material predominante en pisos y paredes segun CUADRO19 material predominante en techos continusen

MATERIALENTECHOS

MUNICIPIO.MATERIAL ENP1503 TOTAL I LOSA0ECONCRETO, Y VAREDE3.SY 01AREOES ~ PARTICULARESVIVIENOAS LAMINADE TEJAMANILPALMA, AS8EST00 LAMINAOf01 TEJA OVEDA0ELARItO.OEAO LOIL, OTRO5ORS NON IATO TERRAOENLAORILLA-00EIAE£0681 VISAS iMORMATERIALES ESPECIFICA00 CARTON 0MADERA METALICA 00 SUBREVIGAS

0 1USAICu0T0 RECUBRIMIENTo 275 7 10 38 22 168 8 N

LAMINA 01 CARTON - - -. CARRIZ, DAMBU0 PALMA N - 3 - - - - EM8ARR0 0 BA.AREQUE 3 - - - 1 2 - - MADERA I------LAMINA DE ASBESTO 0 METAL 3 - - - 3 - ADOE N -1 - - 2 1 - - TABIOUE.TAeICON,&LOCK.ETC. 248 3 5 36 18 178 N N 0TR0NATEIALES 13 - . 3 - MATERIAL NO EIPCIFICADO - - '- PISO N0ESPECIFICADO 121 1 0 3 6 3 - 100

LAMINA 0E CARTON 6 1 - - I - -4 CAhRIZO, SAMSU 0 PALMAK: - 7 - 2 - - 5 EMBARRO0 BAJAREQUE ------MADERA - - - - - LAMINA 0E ASSESTO 0 METAL S - 1 1 3 ADOBE 1 ------IABIQUETABICON,8LOCKETC. 7 - - 2 2 - 3 0TROS MAIERIALES 1 - - - - - MATERIAL NO ESPECIFICADO 8 - 1 - I - ON COLIMA 19 434 2 095 14 2 933 5 647 8 161 165 305 LAMINA 0ECARTON 1 312 1 049 18 165 30 7 ot 39 CARRIZO, BAMOU 0 PALMA 131 60 6 21 40 1 3 - EMBARR00 SAJAREQUE 332 90 12 60 167 4N MADERA 479 251 8 105 IN 5 2 LAMINA DE AS&ESTO0 METAL 227 13 8 117 23 42 1 25 ADOBE 3 284 169 37 271 2 660 123 11 1 13 ETC 12 911 NA0ItUETABIC0N,800414 59 2 070 2 416 7 607 77 68 OTROSMATERIALES 99 el 1 98 178 136 3| 5 MATERIAL NO ESPECIFICAD 259 8 1 23 49 24 3 | 151 1IERRA 3 497 1 643 63 766 767 190 27 NI LAMINA DE CARTON 1 201 980 17 151 21 2 2 28 CARRIZO, SAMBU 0 PALMA 118 58 6 17 34 - 3 EMBARR0 0 BAJAREQUE 242 79 11 NI 103 2 6 MADERA 394 230 8 82 71 1 2 - LAMINA DE ASSESTO 0 METAL 64 9 4 36 3 4 - 8 ADOE 359 89 2 86 195 4 2 1 TABIQUETABCo,BLOCK,ETC. 1 007 167 14 349 293 173 8 3 01ROS MATERIALE 94 28 21 37 4 N - MATERIAL NO ESPECIFICADO 18 3 1 3 10 - - I CEMENTO 0 FIRME 8 652 04 58 I 805 4 023 2 239 88 55 LAMINA DE CARTON 10 50 1 13 8 4 2 4 CARRIZO, BAMBU 0 PALMA 2i2- - - EMBARRO0 BAJAREQUE 71 15 39 5 - 3 MADE1A 68 19 - 16 29 N -- LAMINA DE ASSES70 0 METAL 126 3 1 67 15 26 1 13 A008E 2 291 71 2? 159 1 989 41 8 3 TABIQUE#TABICON,8LOCK,ETC. 5 655 230 33 1 449 1 791 2 069 1 38 25 0TROS MATERIALES 271 13 - 63 120 53 19 3 MATERIAL NO ESPECIFICADO 76 5 - 19 29 17 2 4

MOSAICOU OTRO RECUBRIMIENIO 7 036 29 26 346 834 S 713 48 . 3

LAM14NA DE CARTON 9 2 - - 3 1 - 3 CARRI20, SAMBU 0 PALMA 2 - - - I 1 - - EMBARLO 0 BAJAREQUE 15. - 7 - - MADERA 1T 1 - 7 3 - - LAMINA DE A8ESTO 0 METAL 32 1 - 13 11- ADOBE 617 8 13 63 68 76 TABIOUE,TAbICON,8LOCK,ETC. 6 204 17 12 265 325 5 529 30 26 OTROSKA7ERIALES 130 I 1 21 79 14 1 MATERIAL NO ESPECIFICADO 14 - - 1 1 4 7 1 1 PISO O ESPECIFICADO 251 19 1 16 23 19 2 171 LAMINA DECARTON 22 17 - - - 4 CARRIZO, SAM0U 0 PALMA ------EMBARRO 0 8AjAREQUE I - - I - - MADERA 6 1 - 3 1 -1 LAMINAOE ASESTO 0 METAL S - I 1 1 1 - 1 ADO8E 17 1 - 3 8 - - S TASIOUE,TABICON,LOCKETC. 45 - - 7 7 16 1 IN OTROSMATERIALES 4 - - - - 2 1 1 MATERIAL NO ESPECIFICAO I51 - - - 6 - - JNS

COMALA 2 6 745 %2 521 1 221 277 19 35 80 LAMINA DE CARTON 13s 106 6 8 N 2 1 Il CARRIZ. 8AM8U 0 PALMA 225 207 3 7 6 - - 2 EMbARRO 0 bAJAREQUE 12b 54 231 1 25 6 - - MADERA 197 159 1 9 2% 2 1 1 LAMINA DE ASESTO 0 METAL 53 3 1 24 6 13 1 5 ADOBE 1 208 136 S 138 g81 40 5 3 TAbIQUE,TABICON,8LOCK,ETC. 824 61 3 294 251 207 8 2 OTROSPATERIALES 73 19 - 22 22 5 - MAIERIAL NO ESPECIFICADO 1.6 - - 1 2 2 - 11

78 Vlvlendas particulares por municipio, material predominante en pisos y paredes segOn CUADRO 19 material predominante en techos contin

MATERIAL EN TECHOS

UNICIPMATERIA SO VIVENAS ILAMINA PALMA, LAMINABE LOSADECONCRETO. V PAREDES PARTICULARES DE TEJAMANIL A58EST TEJA TERRADOENLADRILLA OTROS NO CARTONMATERIALES ESPECIFCA 11 00 SO8RE VIGAS

TIERRA I 345 688 3% 161 37$ 60 5 13 LA:INA DE CARTON 124 99 6 4 CARRI Z , BANBU 0 PALMA 219 204 3 5 6-- EMBARRO 0 BAJAREQUE 104 s% 2214 MADERA is7 551 7 22 2 - LAMINA OEASBESTO 0 METAL 13 1 - 5 2 5 ADOBOO 191" 6 1 52 235 7 I 2 TABIGUE.TABICON.BLOCXETC. 242 41 1 73 19 41 3 1 OTROS MAIERIALES 391 1 - 9 iI I - - MATERIAL NO ESPECIFICAOO 3 -- 1 2 - - -

CEMENTO o FIRME 1 231 43 7 312 713 145 A 3

LAMINA DE CARTON &3 - N - 1 - CARRIZO, BAMBU 0 PALMA 3 1 - 2 - EMBARRO 0 BAJAREQUE 15 - 5 7- MADERA 7 3 - 2 1- LAMINA DE ASBESTO 0 METAL 33 2 1 16 4 7 2 ADOBE 664 17 3 74 591 27 1 1 TAsIQUE.TABICON.BLOCK.ETC. 470 16 2 197 152 101 2 - OTROS MATERIALES 27 1 - 12 8 3 3 MATERIAL NO ESPEcIFICADO I - - - - 1 -

MOSAICO U 0140 RECUBRIMIENTO 236 4 1 36 119 69 6 1

LAMINA DE CARTON - - CARRIZO, BAMBU 0 PALMA - - - - EMBARRO 0 BAJAREUE 3 - - I I I - MADERA I - - - I - - - LAMINA DE AS8ESTO 0 METAL 3 - - 1 - 1 - I AOOBE 119 - 1 12 97 6 3 - TABI0UE.TABICcN.BLOCKETC. 102 - 21 17 59 - OTROS MATERIALES 7 - - 1 3 1 2 - MATERIAL NO ESPECIFICADO , - - - -

PISO NO ESPECIFICADO 48 10 -6 1 3

LAMINA DE CARTON 6 - -- CARRIZO. BAMBU 0 PALMA 3 2 - - EMBARRO 0 BAJAREQUE 1 - - 1 - - - MADERA 2 1 - - - - - LAMINA DE ASSESTO 0 METAL 4 - - 2 - - - 2 ADOBE 11 3 - - £ - - TABIQUE,TABICON,BLOCK.ETC. 10 - 3 3 3 OTROS MATERIALES ------MATERIAL NO ESPECIFICADO 11 ------Il

COOUIMATLAN 2 523 385 71 546 1 211 251 32 27

LAMINA DE CARTON 105 73 3 9 8 1 7 CARRIZO, BAMBU 0 PALMA 277 1 140 21 26 as I - EMBARRO 0 BAJAREOUE 107 12 15 i5 62 - MADERA 119 42 8 12 53 1 2 1 LAMINA DE ASBESTO 0 METAL so 1 2 26 6 -5 ALOE I 718 I 60 12 76 542 251 3 - TABIOUE.TABICON,BLOCK,ETC. 1 028 38 7 353 425 198 i 5 2 OTRO5 MATERIALES 99 19 1 24 27 i10 16 2 MATERIAL NO ESPECIFICADO 20 - 2 3 3 2 - 10

TIERRA 1 272 358 55 226 571 43 10 9 LAMINA DE CARTON 97 71 3 6 6 4 1 6 CARRIZO, BAMBU 0 PALMA 266 140 21 21 81 - 3 EMBARRO 0 BAJAREQUE. 93 1 12 13 8 58 1 1 - MADERA 110 41 7 9 so 2 1 LAMINA DE ASBESTO 0 METAL 22 I 1 11 4 ADOBE 335 MR 7 9 - 230 S I - TABIQUE.TABICON.BLOCK,ETC. 294 27 1 11 126 25 I - 0TR05 MATERIALES 52 i8 - 12 16 4 1 MATERIAL NO ESPECIFICAOO 3 - 2 1 - -

CEMENTO 0 FIRME 1 020 22 11 293 554 128 g

LAMINA DE CARTON N 1 - 2 1 - - - CARRIzC, BAMBU 0 PALMA Il - - 5 - EMBARRO 0 BAJAREQUE 12 - 1 61 MADERA - 2 2 1-- LAMINA DE ASBESTO 0 METAL 24 17 2 3 2 ADOBE 339 10 30 277 16 2 - TABIOUETABICON.SLOCK,ETC. 5a6 10 I 5 217 251 99 3 1 OTROS MATERIALES 333 1 12 11 5 2 1 MATERIAL NO ESPECIFICADO 6 1 2 21 2 - -

MOSAICO U OTRO RECUBRIMIENTO 208 3 4 26 83 771 14 1

LAMINA DE CARTON 3 1 - 1 - - - CARRIZO, BAMBU 0 PALMA ------EMBARRO 0 BAJAREQUE 2' -- MADERA 3 1- LAMINA DE A58ESTO 0 METAL I - - - ADOBE 39- 1 2 33 3- - TABIQUE.TABICON,BLOCK,ETC. 146 1 1 21 49 73 OTROS MTAERIALES 13 - - -13 MATERIAL NO ESPECIFICADO 1 --- -

79 I

Viviendas particulares por municiplo. material predominante en pisos y paredes segon CUADRO19 material predontinante en techos entin

MATERIAL EN TECMOS

MUNICIPIO.MATERIAL ENPISVA LO5ADEOCONCRETO, YPAREDES PAATVIENDAASILAMAINA PALMA, LAMINAoziI LlADEOCRT.N Y PAREDES PARTICULARES DE TEJAMANIL ASBESTO0 TEJA 8OVEDADE LADAILLO, OTROS No ESPECIFICADO CARTON 0MADENA METALICA TERRADOENLADRILLA- MATERIALES 00 50RE VIGAS

PISO NO ESPECIFICAOO 23 2 I 3 3 13

LAMINA DE CARTON CARRIZ0 . SAMSU0 PALMA EMBARRO00 BAJAREQUE------MADRA M- - - LAMINA DE ASSESTO 0 METAL 3 - - - - - 2 ADOBE I 2 - - 2 - TAlIQUETABICOMBLOCKETC. OTROS MAIERIALES 2------MATERIAL NO ESPECIFICADO 0- -0

CUAUHTEMOC 3 827 489 43 3 082 1 0? 9ss so 71

LAMINA DE CARTON 124 96 5 5 2 5 - II CARRIZ, SAMBU 0 PALMA 81 76 - - - EMBARRO 0 SAJAREQUE 61 23 -41 1 1 1 MADERA 13 65 10 29 7 1 1 LAMINA DE ASSESTO 0 METAL 101 N 2 MN 17 23 2 9 ADOE 1 379 89 20 354 634 66 a a TABI0UE,IABICON,8LOCK,ETC. 1 829 122 s 609 221 829 34 9 OTROS MAIERIALES 107 14 1 23 15 17 3N 3 MATERIAL NO ESPECIFICAO0 32 - - - - 2 - 30

TIERR A 1 193 349 16 332 369 85 13 14

LAMINA DE CARTON 104 84 S 3 2 2 - 6 CARRIZO, SAMBU 0 PALMA 75 72 - 2 - I - - EMBARRO 0 BAJAREQUE 32 17 - 5 9 1 - - MADERA 79 59 2 13 5 - - - LAMINA DE ASBESTO 0 METAL 32 2- 12 12 4 - 2 ADOBE 50 56 9 128 296 12 2 4 TABIQUE.TABICON,BLOCK,ETC. i 338 61 * 166 41 63 s 2 OTARSMATERIALES 24 11 -3 - 6 - MATERIAL NO ESPECIFICADO 2 - - - -2 -

CEMENTO 0 FIRME 2 113 119 21 680 654 566 S7 19

LAMINA DE CARTON 15 10 - 2 - 3 - - CARRIZI, BAMBU 0 PALMA 6 N - 2 - - - EMBARRO 0 BAJAREQUE 26 6 - 6 2 9 3 - MADERA 28 s S is 2. - - LAMINA DE ASBESTO 0 METAL 60 1 2 29 5 16 2 s ADOBE 59 31 202 47D 40 5 3 YABIGUE,TABICON,8LOCK,ETC. 14 6N 403 167 485 25N OTROS MATERIALES 70 2 1 19 10 12 25 1 MATERIAL NO ESPECIFICADO 1 ---

MOSAICO U OTRO RECUBRIMIENTO 463 3 5 64 8 296 10 2

LAMINA DE CARTON 1 ------CARRIZO, RAMSU 0 PALMA - - - - EMBARRO 0 BAJAREQUE 2 MADERA MAEA5 j -3 1 - , - 3 - LAMINA DE ASSESTO 0 METAL 7 1 - 3 - 3 - - ADOBE 107 2 22 67 29 1 - TABIQUETABICONtBLOCK,ETC. 331 1 - 38 13 273 5 1 OTROS MATERIALES 11 - I 1 5 3 1 MATERIAL NO ESPECIFICADO -- - -

PISO ND ESPECIFICADO 58 3 1 4 1 8 -3

LAMINA DE CARTON ------S, CARRIZO, SAMBU 0 PALMA EMBARRO 0 SAJAREQUE I ------MADERA I3 ------LAMINA DE ASSESTO 0 METAL 2 ------2 ADOBE 6 1 1 2 1 - - TABIOUE.TA8!CONLOCX,ETC. 12 - - 2 - 0 - 2 OTROS MATERIALES 2 1 - - -- - 1 MATERIAL NO ESPECIFICADO 29 ------29

IXTLAHUACAN 828 122 29 149 42 27 10 9

LAMINA DE CARTON 12 10 1 - - - - CARRIZO, BAMSU 0 PALMA 38 16 5 N 12 - I - EMBARRO 0 SAJAREQUE 319 62 11 3N 202 3 6 1 MADERA 97 24 1 43 2 2 - LAMINA DE ASESTO 0 METAL 18 - 2 I0 - 5 - 1 ADOBE 44 5 1 2 36 - TASIOUETABICON,BLOCR.ETC. 279 4 1 61 174 16 1 - OTROS MATERIALES 10 - - I 1 - - MATERIAL NO ESPECIFICAOO 11 - - - 7

TIERRA 619 314 27 87 369 11 10 1

LAMINA DE CARTON 12 10 1 - I - - CARRIZO, SAMBU 0 PALMA 3s is 5 4 10 - - EMAARRO 0 BAJAREQUE 296 59 10 28 189 3 6 1 MADERA 67 23 Iis 37 2 2 - LAMINA DE ASOESTO 0 METAL 11 2 a - I - - ADOBE 34 61 - ZR - - - TABIQUE.TABICTN.BLOCR,ETC. 132 1 32 94 1 - OTROSMATERIALE 9 1 - -17 MAERIAL NO EPECIFICA0-- - 3

80 Viviendas particulares por municipio, material predominante en pisos y paredes segun CUADRo 19 material predominante en techos c"Tmuc"

MATERIAL EN TECHOS

MUNICIPIO.MATERIAL E TOTALO LOSADIE CONCRETO. MUII F.ATEIALEM iSOSVIVIENDAS LAMINA PALMA. LAMINA E SAA0 LADR 0 OTR0S 40 ASEESTO0 TfJA BVD 6LDIL. ORS 6 V PAITEDAS PARTICULARESI BEL IAMANIL MATERIALES ESPECIFICADO CARTON 0 MADERA MLT CALIC TERRADOENLARILLA 00 SOGRE VIGAS

CE1ENTO * FIRME 17 2 56 106 - -

LAMINA 0E CARTON - CARRIZO, 6AMau 0 PALMA 1 - - - I - - - EMBARRO 0 BAJAREIut 22 3 1 6 12 MADERA 9 1 - 3 5 - - - LAMINA DE ASBESTO 0 METAL - 2 3 A008E 10 2 TASI0uETA&ICON.L0cKETC. 1 1361 3 1 43 0- OTROS MATERIALES - - - 1 - MA TERIAL NO ESPECIFICADO

XOSAIC0 U 0TR0 RECUBRIMIENTO - - 2 - -

LAMINA 0E CARTON - - - - - * CARRI20, BAMSU 0 PALMA 1 1 - --- - EMBARRO 0 SAJAREQUE 1

LAMINA DE ASSESTO 0 METAL -- AOOSE -I -1 --- TA£S0ut,TASICON,LOCX.ETC. 8 .- - 6 1 1 - - OTROS MATERIALES - - - - - MATERIAL NO ESPECIFICAO ------

PIS0 NO ESPECIrICADO 1- - - 3 - - 8

LAMINA DE CARTON - - - - * CARRIZO, BAMBU 0 PALMA 1 - - * EMBARR0 0 SAJAREUE 1 - - - MADERA LAMINA DE ASBESTO 0 METAL 1 A0061E ------TABIQUE,TABICON,BLOCK,ETC. - - 1 - - 0TROS MATERIALES ------MATERIAL NO ESPECIFICADO 7- - 7

MANZANILLO 14 202 2 Olei 1 719 1 841 2 212 S 761 242 413

LAMINA DE CARTON 463 309 49 20 1 24 1 22 CARRIZ0, SAMSU0 PALMA 604 153 523 36 S6 11 5 22 EMBARRO 0 BAJARECUE 402 99 96 46 98 S3 5 5 MADERA . 1 239 1 549 315 122 210 20 17 6 25 LAMINA BE ASSESTO 0 METAL 36289 24 20 112 29 76 3 ADBE 8 3 4 65 146 54 7 13 TABOUEC,TABICON,8LOCN,ETC. 9 986 758 630 1 383 1 546 5 427 IS3 89 OTROSMATERIALES 358 68 39 48 7 66 51 6 MATERIAL NO ESPECIUTCADO 313 13 7 9 31 28 - 225

11ERRA 3 644 1 173 1 249 616 716 204 44 46

LAMINA DE CARTON 321 235 42 211 7 13 6 1 1 CARRI20, 6AMBU 0 PALMA 706 139 7 45 5 6 12 EMBARR0 0 SAJAREQUE 277 19 69 26 74 10 1 - MADERA£ 918 413 289 62 136 6 11 1 LAMINA DE ASBESTO 0 METAL 70 16 13 23 8 - - 2 DOBE 174 23 28 23 88 5 1 6 TA810UE.7ABICON,8LOCK,ETC. 1 240 228 277 231 325 156 12 11 OTROS MATERIALES 119 36 33 11 20 4 16 1 MATERIAL NO ESPECIFICADO 19 4 4 2 5 2 2

CEMENTO 0 FIRME 7 066 759 437 1 294 1 393 2 958 137 68

LAMINA DE CARTON 95 59 5 9 15 - 3 CARRIZO, SAMBU 0 PALMA 62 12 43 8 11 6 1 1 EMBARR 0 BAJAREQUE 96 17 1 24 24 3 2 MADERA 267 113 22 50 70 7 1I LAMINA 0E ASBESTO 0 METAL 180 7 72 1 58 2 15 ADOBE 160 17 9 1 56 32 4 3 TABaQUE,A8ICON,6LOCK,ETC. 5 920 494 335 i 1 058 1 134 2 765 95 39 OTROSMATERIALES 192 29 6 32 5 3 28 5 MATERIAL NO ESPECIFICAJO 79 3 6 24 13 - 19

MCSAICO U OTRORECURIMIENTO 2 966 67 22 124 98 2 575 56 24

LAMINA DE CART0N 16 10 - - 1 1 - 2 CARRI2C, SAMU 0 PALMA 6 - 1 - - EM8ARRO 0 BAJAREQUE 26 6 . 1- 19 1' MADERA 43 19 4 9 3 7 1 - LAMINA 0E AS6ESTO 0 METAL 26 - - IN 3 1 - ADO E 28 2 1 3 1 4 17 1 TA8IQUE.TA8ICON,8LOCKETC. 2 761 32 11 89 63 2 686 43 17 OTRO MA1ERIALES 47 3 - ' 5 4 26 9 - MATERIAL NO ESPECIFICADO s15 - - 11 -3

PISO NO ESPECIFICAOO 326 15 11 9 7 24 5 255

LAMINA DE CAR10N 13 5 2 - - - - 6 CARRJ20, AMOU 0 PALMA 10 2 EMBARR 0 BAJAREQUL 3 - - - 2 MADERA 13 N - 1 1- - N LAMINA BE ASBESTO 0 ME1TAL 13' - - 3 - 2 - 6 ADOBE 6 1- - 1 4 TAbI0uE.TA6ICOM,6L0C6K.TC. 65 T 5 N 20 3 22 0TROS MATERIALES - - MATERIAL No ESPECIFICADO 2 - - 2 2 - 201

81 I

Viviendas particulares por municipio, material predominante en pisos y paredes segun CUADRO 19 material predominante en tochos contnukasn

MATERIALENTECHOS

MUNICIPIO.MAITERIAL ENPISOS TAA LAMINA PALMA, LAMINAE LOSAF CONCRETO. Y PAREOCS PARTICULARES 0E TEJAMANIL ASSESTO0 TEJA SOVEDA0f LADRILLO. OTROS NO 0MADERA METAt1CA TERRA0ENLARILLA- MATERIALESESPECIFICADO CARTON 00 $DIREVIGAS

MINATITLAN 1 264 312 11 121 304 502 6

LAMINA DECARTON 39 32 2 - - - CARRIZC, UAndU 0 PALMA 98 69 2 1 31 EMBARR 0 8AJAREQUE 11 67 1 3 42 MADERA 86 69 3 3 11 LAMINA OEASSESTO 0 METAL 9 3 - 3 1 11 AD00E 160 34 - 22 96 4 TASIOUE,1ABICON,8LOCK,ETC. 735 1 29 3 89 114 96 9 - OTROS PATERIALES 1: 9 - 4 - MAICRIAL NO ESPECIFICADO 9 - - I - 6

1IERRA 581 289 9 46 2138 Is 3 I

LAMINA DE CARTON 36 29 2 - 4 -3 CARRIZO, IAMBU 0 PALMA 97 63 2 1 31 - - - EMUARRO 0 9AJAREQUE 111 1 j 2 42 1 MADERA 19 65 2 3 9 LAMINA DE A58E5TO 0 METAL 5 3 - 1 - 1 - - ADOBE 133 37 - 19 76 1 - - TABIQUEABICON.BLOCKETC. 105 IS 2 20 51 13 1 OTROS MATERIALES 13 8 - - 9 - 3 - MATERIAL NO ESPECIFICADO 2 1 - - 1 - - -

CEMENTO 0 FIRME 386 19 2 70 79 213 2 1

LAMINA DE CARTCN 3 3 ------CARRIZO, BAPBU 0 PALMA 1 1 - - --- EMBARRO 0 SAJAREOUE 1 - 1 - - - - MADERA 5 2 1 - 2 - - LAMINA DE ASBESTO 0 METAL 3 - - 1 - - 3 ADOBE 23 1 - 3 16 3 1ABIOUE,.ARICON,8LOCK,ETC. 3%81 11 1 65 60 209 2 - OTROS MAIERIALES 1 - MATERIAL NO ESPECIFICADO - 1

MOSAICO U DIRO RECUBRIMIENTO 2861 1 4 6 274 1 -

LAMINA DE CARTON - - - -

EMBARRO 0 AJAREQUE MADERA 1- LAMINA DE ASBESTO 0 METAL ------ADOBE 3 --- 3--- TABIQUE,TARICONOLOCK,ETC. 282 - - 9 3 27 1 - OTROS MATERIALES - - - - - MAIERIAL NO ESPECIFICAO - - - - -

P150 NO ESPECIFICAOO 3 - 1 1 - -

LAMINA DE CARTON - - - - CARRIZO, BAMRU 0 PALMA -- - - - EMBARRO 0 BAJAREOUE 2 2 - - - MADERA 1-- LAMINA DE ASBESTO 0 METAL - - - ADOBE - -- TA8RQUE,IA8ICON.LOCK,ETC. - - OTRC*MATERIALES MATERIAL NO ESPECIFICADO 6 - - 6

TECOMAN 11 792 1 262 1 225 3 473 3 952 1 489 129 262

LAMINA DECARTON 280 157 5 15 25 2 - 26 CARRZO, BAMBU 0 PALMA 2 907 732 839 669 599 21 19 28 EMBARRO 0 RAJAREOUE 230 25 15 64 107 16 - 3 MADERA So 143 79 ITR 153. 3 2 2 LAMINA DE ASRESTO 0 METAL 432 11 26 217 74 1 37 ADOBE 259 23 7 73 117 35 2 2 7A91OUETABICON.LOCKETC. 6 SOS 13S5 151 2 201 -2 638 1 292 55 33 OTROS MATERIALES 477 32 47 94 201 52 MAIERIAL NO ESPECIFICADO 6 22 38a202 712

TIERRA 5 249 1 109 1 034 1 416 1 920 153 %2 75

LAMINA DC CARTON 235 117 12 17 2 - 15 CARRIZO, RAMBU 0 PALMA 2 624 698 776 573 520 18 12 27 EMBARRO 0 UAJAREQUE 126 23 Il 36 98 8 MADERA 428 135 6R 96 124 12 2 LAMINA DE ASE5TO 0 METAL 151 6 7 126 14 13 ADOBE 851 14 2s 37 1 TABIOUEIA8ICON,8LOCK,ETC. 1 343 67 60 599 519 93 1l 9 OTROS MAIERIALES 222 25 43 5 so0 3 MATERIAL NOESPECIFICADO 35 2 9 2 9

CEMENTO 0 FIRME 5 429 13 175 1 857 2 320 830 64 42

LAMINA DE CARTON 29 16 3 2 6 - - 2 CARRIZO, BAMBU 0 PALMA 255 29 56 as 7.4 3 9 1 EMARRC 0 RAJAREQUE 2 9 27 7 8 - 3 MADERA 62 6 71 21 26 2 - LAMINA DE ASE5TO 0 METAL 242 5 7 130 46 37 14 ADORE 156 9 3 46 74 24- TABIOUE, TABICON,RLOCA,ETC. 4 327I 66 s 1 489 1 910 720 34 39 MRI MAERIALES 2171 3 3 43 113 32 23 - MATERIAL N0 ESPECIFICA00 45 - 3 11 24 3 - 3

82 Viviendas particulares por municipio, material predominante en pisos y paredes segun CUADRO19 material predominante en techos

MATERIALEN TECHOS

MUNICIPIO, MATERIAL EN PISOS VINA LAMINA PALMA LAMINA CONCRETO. YPAREDES PARTICULARES DE TEJAMANIL ASSESTO0 TEJA BOVEDA DELARiLL, OTROS NO CARTON 0MADERA METALICA TERRADOENLADRILLA- MATERIALES ESPECIFICA0O 00 SOBRE VIGAS

MOSAICO U 0100 RECuBRIMIENTO 917 £ 10 18% 191 497 23 4

LAMINA DC CARTON NJ 21 - I - I CARRIZC, BAMSU 0 PALMA 14 1 3 N 3 - EMSARRO 0 8AJAREQUE 11 - - - -- MADERA 9 3--- LAMINA E ASSESTO 0 METAL 26 1 13 2- 008F 15 - - 2 s 7 1- IASIOUEIABICON.LOCK.ETC. 798 1 1 157 157 471 10 1 0AT05 RAERIALES 35j 3 1 6 6 9 9 1 MAICRIAL NO ESPECIFICADO s - - 1 3 1

PI50 NO ESPECIfICADO 202 9 6 16 21 9 - 141

LAMINA DE CARTCN 12 2 - 1 1- CARRIZO, SAMSU 0 PALMA 14 4 4 N 2 - EMBARRC 0 8AJAREQUE 2- -F 1 - MADERA F --- LAMINA DE ASSESTO 0 METAL 13 - - 3 - 1 - ADOBE 3 - - 1 - - 2 IABIQUE,1AaICON,BLOC,ETC. 37 1 1 6 12 8 - 9 01005 MATERIALES 3 - - 2 - - NAIERIAL NO ESPECIFICADO 117 - 1 1 2 - - 113

VILLA DE ALVAREZ 3 529 F C6 8: 785 972 936 67 79

LAMINA DE CARTON 327 2 46 9 94 13 4 2 12 CARRIZ0, 8AMSU 0 PALMA 92 61 15 6 7 1 2 - EMBARRC 0 BAJABEQUE 138 52 16 13 43 11 3 2 MADERA 152 88 13 29 21 1 - - LAMINA DE ASSESTO 0 METAL 8N 5 3 43 7 l 3 5 A008E 638 29. 4 51 526 22 9 2 IA0IQUE.TABICON.8LoCA.ETC. 1 853 102 14 S62 319 817 23 16 BIROS MAERIALES 144i 20 1 31 23 %3 26 - MATERIAL NO ESPECIFICADO 101 8 9 9 13 19 1 42

T IERR A 1 202 515 59 289 213 106 10 10

LARINA BE CARION 282 216 7 40 S 1 7 CARRIZC, BAPaU 0 PALMA F 6 59 12 6 7 - 2 - EMBARRO 0 SAJAREQUE F 118 52 14a 9 36 6 1 - MADERA 137 a5 12 22 17 1 - - LAMINA BE AS8ETO 0 METAL 32 5 3 16 3 N - ADOBE 111 19 1 12 74 3 1 TABIQUETA8ICON,BLOCK,ETC. 384 61 a 174 58 2 1 1 OTROS MATERIALES 42 15 - 9 7 6 5 N MATERIAL ESPECIFICADO 10 3 2 1 3 1 - CEMETO 0 FIRpE 1692 79 21 931 594 510 3£ 19

LAMINA DECAR1CN 32 29 1 1 3 1 1 CARRIZO, BAMBU 0 0ALMA 3 - 2 - - 1 - - EMBARRO 0 BAJAREQUE 16 - 2 F 6 3 - 1 MAOERA 15 3 71 N - - - LAMINA BE ASBESTO 0 METAL 42- - 23 3 11 3 2 ADOBE 391 4 1 27 339 13 6 1 TABIOUE,TASICONBLOCKETC. 1 073 38 6 343 219 195 14 8 OTROS MATERIALES 75 5 1 19 12 25 13 - MATERIAL No ESPECIFICACO 45 5 7 7 8 11 1 6

MOSAICO U ORO RECUBRIMIENTO 574 5 2 61 164 313 19 10

LAMINA DE CARTON 3 1 - 2 CARRIZ, BAMBU 0 PALMA - - - - EMBARRC 0 SAJARECUE 3 F - 1 2- MADERA ------LAMINA 0E AS8ESTO 0 METAL - - 1 2 - 1 ADOBE 133 1 2 11 112 s 2 - 1ABIQUE,TABICCNMLOCKETC. 389 3 - 44 42 286 9 S OTROS sATERIALES 25 - - 1 2 12 a- MATERIAL 90 ESPECIFICAOO F 13 - - 6

PISO NO ESPECIFICAOO F 6 7 2 4 1 7 - 40

LAMINA 0E CAR1ON 10 5 1 - - - - CARRIZC. BAMAu 0 PALMA 2 1 - - - - - EMBARRE 0 BAJARECUE 1 ------MADERA LAMINA DEASBESTO 0 METAL 2- - - 1 ADO E 3- 1 1 1 - - TAbIQUETABICc%,6LOCK,ETC. 7 - - - 4 - 2 OTROS MAIERIALES 2 - 2 - I -- MATERIAL NO ESPECIFICADO 33 - -F - 32

83

OMANm1woupp FRWFR.'A41" "v-Wwz- t% fw @#!IP. P t, . Ocupantes do viviendas particulares por municipio, material predominanto on pisos y paredes de la vivienda segOn material en techos CUADAO20

MATERIAL EN TECM0

MUNICIPIOMATER IAL EN PSOS TOTAL LAMINA PALMA LAMINAOE LOSAOf CONCRETO1, YOPAREDES OCUPANTES E TEJAMANIL AS0STO 0 TEJA 8OVDA 0E LARILLO. OTROS NO CARTON OMAILRA METALICA TERRAO ENLAURILLA- MATERIALES ESPECIFICADO CAR 0 AEA MTLC DOSORRE VIGAS

TOTAL 342 258 99 809 25 9%5 69 345 9. 480 96 930 3 926 6 £23

LAMINA DE CARTON IS 140 I1 287 851 -1 28 611 221 22 720 CARRIZO, RAM8U 0 PALMA 33 427 8 874 12 450 5 604 5 637 265 274 323 EMBARRO 0 SAJAREQUE 10 773j 2 700 1 320 1 610 4 261 673 99 90 RADERA 16 764 7 579 2 952 2 55 3 5674 180 154 78 LAMINA DE ASBESTO 0 METAL 7 1161 338. 40 3 183; 917 1 392 87 599 ADOE 92 388 3 239 753 6 200 29 766i 1 998 219 213 7A8IQUE.TA8ICON.8LOCK.ETC. 200 590 9 343i 6 355 46 059 45 905 £9 935 1 850 1 078 OTROS MATERIALES 10 396i 1 2651 923 2 108 2 968 1 790 1 2131 129 MATERIAL NO ESPECIFICAO0 5 694 1864 201 40 828 476 6 3 593

TIERRA 116 061 35 0651 19 587 24 159O 29 884 5 188 1 016A 1 162

LAMINA DE CARTON 13 0571 10 062! 790 1 226 931 103 121 33 CARRI2O. SAMBU 0 PALMA 29 901 8 478 11 130 I 703: 940 203 2071 290 EMBARRO 0 BAJAREQUE 8 274 2 4921 1 137 1 012 3 359 181 ell 12 MADERA 13 608 6 542, 2 331 1 831 2 669 90 1091 39 LAMINA DE ASBESTO 0 METAL 2 474 229 282, 1 133 4081 269 14! 142 ADOBE 12 348 2 376 338 2 366 6 936 224 45 63 TAOIOUETA8ICON,8LOCXETC. 31 668 3 911 2 735 10 970 9 780 3 918 252 102 0IROS MATERIALES 4 077 88 736 8191 1 120 192 296 56 MATERIAL NO ESPECIFICADO 6s87 108 102 241 38 - 78

CEMENTO 0 rIRmE 1 159 386 8 66 5 762 C0 2A7 56 306 42 175 2 035 1 195

LAMINA DECARTON 1 ie 931 91 162 124 113 10 60 CARRIZO, 8A88U 0 PALMA 3 116 347 1 178 856 624 60 43 EMBARRO 0 SAjAREQUE 2 132 192 181 534 809 350 17, 54 MADERA 2 663 895 255 920 £17 70 29i 7 LAMINA OE ASBESTO 0 METAL 3 921 96 107 1 965 458 905 71 319 ADOBE 29 609 767 307 3 109 18 972 1 073 1231 58 7AblQUE,TA6ICONBLOCXETC. 112 259 S 072 3 442 31 407 32 427 38 399 1 099 Is3 OTROSMATERIALES 4 821 299 168 1 108 1 5971 951 637 61 MATERIAL 40 ESPECIFICADO 1 909! 97' 83 26 483! 2691 6 185 MOSAIC0 U 0TRO RECUSRIMIENTO 64 009 643 419 e 633 7 £751 49 18 64 LAMINA DE CARTON 182[ 94 - 8 7 2a CARRIZO, SAMBU 0 PALMA 153 9 59 21, 32 2 24 6 EMBARRO 0 SAJAREQUE 317 4 2 49 114 142 1 5 MADERA 333 103 66 72 60 20 12 - LAMINA DE ASSESTO 0 METAL $18 13 3 240 361 200 2 22 ADOBE 5 148 46 100 493 3 743 692 46 2£ TABICUE.TA8ICON,LOCK,ETC. 55 683 323 170 3 546 3 556 i 47 336 485 267 01R05 MATERIALES 1 915 51 19 174 231 661 273 6 MATERIAL 9O ESPECIFICAO0 260, - - 30 - 54 130 2 44

P150 NO ESPECIFICADO 5 802 435 177 306 915 379 30 4 060

LAMINA DE CARTON 40 200 20 12 9 - - 199 CARR0IZ, BAMaU 0 PALMA 257 40 £3 24 91 - - 69 EMBARRO 0 SAJAREQUE 50 12 - 15 -19 MADERA 160 69 - 31 21 - LAMINA DE ASSESTO 0 METAL 203 - 8 48 13 18 - 116 ADOBE 293 50 £1 32 115 9 5 64 TA800UETASICON,8LOCKETC. 955 37 48 131 142! 317 1 266 OTROS PATERIALES £3 27 - 7 20 16 7 6 MATERIAL NO ESPECIFICADO 3 371 - 10 6GSO 19 - 3 286

ARMERIA 21 597 1 096 7 797 9 724 9 359 2 686 246 692

LAMINA DE CARTON 246 123, 55 1 33 3 31 CARRIZO, BAMRU 0 PALMA 7 066 543 1 4 737 7a% 807 63 70, 62 EMBARRC 0 BAJAREQUE 402 12 17 67 98 21 7 10 MADERA 755; 21 379 133 203! 6 6 LAMINA DE ASSESTO 0 METAL 422 131 7 143 a9 368 99 ADOE 295, 31 74 78 88 9 - 15 TABIQUE.TABICON,BLOCX,ETC. 10 843 292 1 AC& 3 2)5; 2 £72 2 436 93 47 OTRO5MATERIALES 941 47 956 198 129! 35 70 11 MATERIAL 40 ESPECIFICA00 6 27 14 55 25 42 25 - 466

IIERRA 10181 £31 5 702 1 635' I 665 174 110 64

LAMINA OE CARTON 197 112 55 1 27 2 - - CARRIZO, BAMBU 0 PALMA 5 985 510 011 638 688 5 50 43 EMBARRO 0 BAJAREQUE 181 e 105 22 37 6 7 - MADLRA 57 21 294 A1 102 4 - 5 LAMINA DE ASSESTO 0 METAL 174 11 46 48 59 5 - 5 ADOBE 138 23 47 47 19 2 TABIQUE,TA8ICON,BLOCX.ETC. 2 305 119 756 677 626 104 29 9 OTROS MATERIALES 584 22 339 319 69 6 29 - MATERIAL NO ESPECIFICAOO 110 14 49 2 38 - - 7

CEMENTO 0 FIRME 9 299 220 1 992 2 £77 2 516 1 511 107 76

LAMINA OE CARTON 21 7 - - I I - 12 CARRIZO. BAMBU 0 PALMA 971 33. 664 146 97 18 13 - ERbAiRO 0 8AJAREQUE 211 8 2 IS 56 10 - 10 MADERA 227 - 49 91 91 4 6 1 LAMINA DE ASBESTO 0 METAL 200 2 1 99 19 91 - 23 ADObE 12 6 27' 31 55 - - TAbIOUE.TA8ICON,8LOCK,ETC. 7 231 163 1 128 2 937 2 138 1 393 90 12 OTROS MATERIALES 271 1 109 .0 55 10 28 11 MATERIAL NO ESPECIFICAO %3 - - 23 I 14 - 2

85 Ocupantes de viviendas particulares por municipio, material predominante en pisos y paredes de la CUAOnO20 vivienda segun material en techos contnuci

MATERIALEN TECHOS

MUNICIPIO.MATERIALENPISOS T0TAL LAMINA PALMA LAMINA01 LOSAO CONCRETO, YPAREDES OCUPANTES 0E TEJAMANLl ASBESTO0 TIJA BOVEDAOE LAORILLO. I OTROS NO OMADERA MtTALICA TERRA0OENLADRILLA- | MATERIALES ESPECIFICAO0 CARTON CARTON00 0URE VIGAS

MOSAIC0 U 0RO RECUSRIMIENTO 1 N0t 41 5o i9s 121 29 1e

LAMINA 0E CARTON ------CARR , AMBU 0 PALMA 221 - 5 - - EM4BARRO 0 BAJAREQUE 101 - MA0ERA 10- 0 LAMINA DE 0 METAL 20 758ESTO ADOBE 231 21 - -i I47 TA 910UE.*TA 8 1CON,*BLOCKET C. 1 262 I5 214 lis 96 921 91 14 0TROS MATERIALES 2 11 17 9 19 131 MATERIAL NO ESPECIFICADC 9-- - 9 - -

PISO NO E5PECIFICADO 677 4 53 1% 8 20 - 538

LAMINA DE CARTON 28 - - - 19 CARRIZO, SAM8U 0 PALMA 8l8 -1 22 - - 19 EMOARRO 0 8AJAREQUE ------NA LES £ 13~ - - 31 - - - - LAMINA DE ASSESTO 0 METAL 28 - - 1 1- - 16 ADOE 0 - - - - 10 TA8IQUE,TASICON,8LOCK.ETC. 45- - 10 18 - 17 OTROS ATERIALES 2 - - 2 - - MATERIAL NO ESPECIFICADO 465 - - - 2 - 57

COiMA 99 438 31 272 148 is 960 21 536 NI 6,42 ?11 1 569

LAMINA DE CARTON 7 048 S 608 89 901 182 27 4! 233 CARRIZO, BAMBU 0 PALMA 718 283 37 1394 244i 2 141 EMBARRO 0 SAJAREQUE 1 877 53 355 07, 79 35 20 MADERA 2 680 1 76 577 551 23 i3 LAMINA DE ASBESTO 0 METAL 1 175. 63 0 631 70! 224 6i 141 ADOBE 16 047 693 190 1 522 12 634 681 649 63 TABIQUETABICON,BLOCK,ETC. 66 055 2 183 284 11 IS 11 954 39 748 3901 341 OTROS MATERIALES 2 522 211 3 56 632 ' 730 173 27 MATERIAL NO ESPECIFICAGO 1 316 37i 3 143 2561 128 61 741 TIERRA 19 555 S 972 3393 9 522i 2523 09 151 225

LAMINA DE CARTON 6 413 5 217 4 g19i 1 1 13 4 161 CARRIZO, AMSU 0 PALMA 656 273 37 107 225 - 14 - EMBARRO 0 SAJAREQUE 1 405! 458 611 275, 560 16 351 - MADESA 2 226 1 3481 3S 455 371 2 151 - LAMINA DE ASSESTO 0 METAL 345 37 26 209 16 21 -I 36 ADOE 2 127 s5s a 429: 1 C91 23! lei 3 TABIOUETABICON,8LOCK,LTC. 5 733 911 1 5 2 077 1 611. 989 401 20 OTROS MATERIALES 593' 159: - 127' 202 30 251 - MATERIAL NO ESPECIFICADO 107 14 3 24 61 - - S

CEMENTO 0 FIRME 93 949 2 040' 262 9 607' 19 166 12 209 339 306

LAMINA DE CARTON 455 283 5 76 53 11 4 23 CARRIZC, BAMOU 0 PALMA ST 10i - 27 20 - - - EMBARRO 0 8AJAREQUE 394 60i 2 62 215; 35 - 20 MAUERA 368 116 - 82 199 21 - - LAMINA DE ASSESTO 0 METAL 638 22 i 1 323 42 141 6 93 AD0OE 10 903 307 126 860 9 343 225 26 14 1A8IGUE,IABICONALOCKETC. 29 426 1 167 1338 7 722; 8 705. 11 37? 206i 111 0TROS KATERIALES 1 339 52 - 392 490 306 91 23 MATERIAL NO ESPECIFICADO 4094 23 - 1131 149 93 4 22

MOSAICO U OTR0 RECUBRIMIENTO 34 670 153 j 124 1 743i 4 0141 28 244 2091 183

LAMINA DE CARTON 47 3jIi - - 3 - 12 CARRIZC. SAMBU 0 PALMA 5: - - - 32 EMbARR 0 LAJARECUE 71 - Il 32 28 - - MACERA I 9 2 - 23' 29, - - LAMINA DE ASSESTO 0 METAL 176 4' - 94! 101 9- 9 AOOSE 2 937 24 56 211 2 167 1 433 16 28 TA8IGUE.TASICON,LtOCK,ETC. 30 669 105 65 1 321! 1 6C7 27 303' 139' 129 0TROS MATERIALES 653 3 77 140 381 50 2 MATERIAL No ESPECIFICADO 63 17 3 21 3

PIS0 NO ESPECIFICADO 1 264 107 3 a8 104 95 121 855

LAMINA DE CARTON 133 906 - - 37 CARRIZO, BAMBU 0 PALMA ------EMBARRO 0 BAJAREQUE 7 - - 7 - - - - MADERA 37 10 - 17 7 - - 3 LAMINA DE ASSESTO 0 METAL 16 - 535 2 - 3 ADO0E 60 7 - 22 33 - - 16 TA8I0UE, TABICON,8LOCLETC. 221 - - 31 31 79 5 61 OTROS MATERIALES 22 - 1 - - 13 7 2 MAIERIAL NO ESPECIFICAO 742 -- 31 - - 711

COMALA 15 798 9015 251 . 2 953 6 661. 1 606 100 215

LAMINA UE CARTON 8 614 39 46 21 12 1 75 CARRIZG. BAMBU 0 PALMA 1 222 1 122 16 3 29; - - 12 EMAARRC 0 BAJAREOUE 684 293 142 85 1 135 29 - - MADERA 1 020 625 3 's 126 121 2 7 LAMINA OE ASBESTO 0 METAL 301 15 10 122 42 85i 6 2 ADOE 6b591 757 26 785 1 4 672 250 231 2 TAbIOUE,IABICON,8LOCK,ETC. 4 720 299 15 1 688 I 501 1 174 33 10 OTROSMATE6IALES 41' 90 - 1301 123 32 35 - MAIERIAL NO ESPECIFICAO 92 - - 6j 12 12 - 62

86 Ocupantes do viviendas particulares por municipio, material predominante en pisos y paredes do la CUADRO20 vivienda segOn material en techos oontuwan

MATERIALEN TECHOS

MUNICIPIO.MATERIAL EN PISOS TOTAL LAMINA PALMA. LAMINAOE LOSAOf CONCRETO. YPAREDES OCUPANTES oE TEJAMANIL ASSESTO0 TEJA S0vEDA E LADRILLO. OTROS NO CARTON OMADERAMETALICA I TEARADO R4IAOAILLA.MAIERIALES ESPECIFICADO 00 SUSREVIGAS

I IERR A 7 55 3 703 210 992 2 181 358 29 83

LAMINA DE CARTON 720 579 39 is 21 9 1 53 CARRI0, SAMOU 0 PALMA 1 199 1 108 16 37 29 - - EMBARRO0 SAJAREQUE 595 293 140 52 110 - - - MADERA 975 61 31 27 122 12 - LAMINA DE ASSEST 0 METAL 101 6 - 39 17 39! - - A008E 2 308 629 4 317 1 294 421 6 17 IABIOUE.TABICON,BLOCK,ETC. 1 437 197 %538 so 247! 22 2 OTROS MAERIALES 201 81 - % 3 6a 'i - - MA1ERIAL NO ESPECIFICADO li - - 6 12 - - -

CEMENTO0 F1RmE 6 828 2421 39 1 721 3 881 447 38! 20 LAMINA DE CARTON %7 161 - 28 - 3 - - CARRIZO, 8AMSU 0 PALMA 14 1 - 6 - - - EMBARRO0 SAJARCQUE 61 -1 2 16 23 20 - - 4A0ERA 281 71 - 1I I - 2 - LAMINA DE ASSESTO 0 METAL 166 9 10 64 2$ 436 9 ASOBE 3 107 20 394 2 893 1713 TAB6,UETAB1CON,8LOCKPETC. 2 736 6 7 1 113 893 629- OTROS MAIERIALES 172 9 - 2 46 16 19 MATERIAL 40 ESPECIFICADO 5 16-- - - - MOSAICO U 0160 RECUSRIMIENTO I I54 16 2 205 547 347 33 4 LAMINA DE CARTON - - - CARR120. SAM8U 0 PALMA - - - - - . - EMBARRO 0 BAJAREQUE 23 - - 12 2 9 - - MADERA 3 - 3 - - - LAMINA DE ASBESTO 0 METAL 14 - - 7 - 3 - 8 ADOE S0 - 2 74 453 17 W 1A810UE TABICON,&LOCKETC. 490 - 101 s0 214 - OTROS MAIERIALES 37- - 5 9 7 16 - MATERIALNO ESPECIFICAD0 1 - - - 7 -

PIS NOESPECIFICADO 262 54 - 32 52 14 - 110

LAMINA DE CARTON 41 19 - - - 22 CARR1ZZ, BAMSU 0 PALMA 9 6- - 3 EM8ARR 0 OAJAREQUE -- MADERA - - - - LAMINA DE ASBESTO0 METAL 20 - - 2 - - - 8 ADOBE 4 22 - 32 IA6IQUE,1A8ICON,LOCKETC. S - 15 20 - GIRDS MATERIALES------1 - MATERIAL 80 ESPECIFICADO 62- - 62 COOUIMATLAN 13 921 2 127 393 3 243 6 $02 1 366 1451 145 LAMINA DE CARTON 567 14 26 41 0 22 44 CARRIZ, BAMBU 0 PALMA 3504 710 113 142 856 2 21 - EMBARRO0 BAJAREQuE 644 78 83 112 389 13 9- MADERA 583 213 21 10 267 4 4 4 LA1INA DE ASSESTO0 MCTAL 262 6 8 133 27 88 - 44 A008E 3 "'0 330 751 490 2 785 186 18 - TAb10UE,1ABICON,8L0CK,E1C. 5 818 206 53 2 103 2 412 1 067 28 9 OTROSMATERIALES 532 110 4 139 14 5 56 67' 11 MATERIAL No ESPECIFICADO 91 - 10 13 21 14 33 TIERRA 7 121 1 973 294 1 431 3 065 251 4 59

A11NA DE CARTON 536 39- 26 23 29 20 2 42 CARRIZO. SAM8U 0 PALMA 1 450 770 113 115 435 - 17 - EMBARR 0 BAJAREQUE 562 78 76 64 325 10 9 - MADERA 544 210 is 262 - 4 LAMINA DE ASBESTO 0 METAL 114 6 3 53 1 24 ADOBE 1 847 27A 42 304 1 198 3 14 - TABIOUE,TAICON,BLOCKETC. I 751 182 9 781 731 15' 3 - OTROSMATERIALES 303 101 - 78 91 18 2 3 MA1ERIAL NO ESPECIFICADO 14 - 10 4 - -1

CEMENTO0 FIReiE 5 657 124 68 1 654 3 015 7175 34 LA1INA DE CARTON 22 a - 10 4 - CARRIZO, SAMBU 0 PALMA 54 - - 27 21 2- EMBARR00 BAJAREQUE 73 - 5 41 24 3 - - MADERA 1s - - 12 2 4 LAMINA DE AS6ESTO0 METAL 129 - - 80 16 24 ADOBE 1 779 98 26 111 1 432 69 131 - TABIOUE.1ABICON,8L0CK.ETC. 3 363 59 331 1 283 1 8458 554 18 2 0TR05 MATERIALES 181 9 4 64154 3$ 10 6 MATERIAL NO ESPECIFICACO 38 - 9 15 14 - - MOSAICO U OTRORECURIMIENTO 1 035 20 26 155 393 382 52 7

LAMINAE0 CARTON 27 12 8 7 - - - CARRIZO, 6AMU 0 PALMA - - - - - EMbARR0 0 BAJAREQUE 9 - 2 7 - MADERA 36318 - - - - LAMINA DE ASETO 1METAL i - - -- 1 - - ADOBE 173 7 15 133 18 - - 1ABIOUE,TA8ICON,6L0CKETC. 753 5 1 116 247 360 7 7 01605 PATERIALES 45 - - - - 45 - MA1ERIAL NO ESPECIFICADO 6 - - - 6 - - -

87 I

Ocupantes de viviendas particulares por municipio. material predominante en pisos y paredes de la CUAOno 20 vivianda segun malenal Jn tectior sentwamuan

MATERIALENTECHO

ENPISOS T LMSA O CONCRETO, MUNICIPTO.MATERIAL TTL LAMINA PAM, LAAM1NA0OfS f OCEO YPAREDES OCUPANTES DE TEIAMAN'I ASESTO0 TEJA TEA 0ELADRILL. OTMROSE 40 CARTON OMAOERA METALICA TERRADO00DSOBRE ENLAIRILLAVICAS MATERIALESESPCIFICAO

P150 No ESPECIFICADO olt 0l 3t 29 16 - 45

LAMINA 01 CARTON 2 CARRuZ0, 3AMaU 0 PALMA EM48ARRO 0 BAJAREQUE------MADERA 3 -- 3-- - LAMINA DE AS5E570 0 METAL - ADOBE 41 10 - - 26 5 - - TABI0UE.TANICON.BLOCKETC. 11 - 3 - 3 - - OTROSMATERIALES 3 - - - MATERIAL NO ESPECIFICADO 33- - - - - 3

CUAUHTEMOC 22 0071 2 384 208 6 461 5 954 5 669 489, 342

LAMINA DE CARToN 715 S74, 36 3, 11 21 - 39 CARRIZC, BAMBU 0 PALMA 433 396 - isI - 2 - - EMBARRO 0 *AJAREQUE 3si 124 - 67 56 961 4! 4 MADERA 601 374' 39 147 29 51 7 - LAMINA DE ASESTO 0 METAL 5941 32 16 2?2 791 1331 11 51 ADOBE 7 623 491 98 2 151 4 75s 343 45 2S TABI0UE.TABICON,BLOCKETC. 10 859 182 16 3 631 1 209 4 9701 201 so OTROS MATERIALES 6s2 111 3 124 95 90 221! 8 MATERIAL N0 ESPECIFICADO 1741 - - - - 9 - 165

TIERRA 6 938 2 I56 94 2 087 1 972 499 73 61

LAMINA DE CARTON 603 516 36- 16 11 5 - 24 CARRIZO, BAMBU 0 PALMA 389 370 - 17 2 EMBARRI 0 UAJARECUE 163 98 - 19 el 5 - - MADERA 435 338 * 73 18 - - LAMINA DE ASSESTO 0 METAL 192 17 - 77 64 22 - 12 ADODE 2 &z5 320 50 799 1 549i 49 3 15 TABIQUE,TAB1CON,ALOCKEIC. 2 156 414 - 1 072 222 407 31 10 0TR01 MATERIALES 1619 3 - 14 271 - 37 - MATERIAL NO ESPECIFICADO - - 9

CEMENTO 0 FIRME 12 156! 6321 92 3 911 3 542 3 469 370 70-

LAMINA DE CARTON 92 58 - 18 - 16 - CARRZC, BAMBU 0 PALMA . 4 26- 13 - - - EMBARRC I RAJAREQUE 171 26 - 42 15 4 4 - MADERA 139 32 21 7O 11 51 - - LAMINA IE ASBESTO 0 METAL 361 6 16 178 15 J00 11 35 ADOBE 4 195 157 36 1 214 2 517 2211 41 9 TABIUE,TAaICON,&LQCX,ETC. 6 731 363 16 2 2931 9196 2 971 147i 22 OTROS MATERIALES 421 14 3 98 S 72 167 2 MATERIAL NO ESPECIFICAIO 2- -- -- 2

MOSAICO U OTRO RECUBRIMIENTO 2 S92 24 16 421 43b 1 642 6

LAMINA DE CARTON - - - - CARRIZO, -BAM6U 0 PALMA---- EMBARRC 0 SAJAREQUE 13 - 61 - MAOERA 23- 32 4- LAMINA DE ASSESTO 0 METAL 37 9 17 ADOBE 582; 10 4 130 364 73 1 TABIGUE,TABICON.ALOCK.ETC. 1 885: I - 252 68 1 533 23 4 OTROS MATERIALES 52 12 3 h8 17 2 MATERIAL NO ESPECIFICADO - - -

PISO NO E5PECIFICADO 321 22 8 22 5 59 - 205

LAMINA IE CARTON - - - - 15 CARRIZO, BAM8U 0 PALMA - - EMbARRO 0 BAJAREQUE 4 --- - MA BE RA 4 - - LAMINA IE ASBESTO 0 METAL 4- AD0IE 26 4 8 8 5 1 TA81QUE,TABICONa.LOCKETC. 871I -9 OTROS MATERIALES 18 14-- MATERIAL NO ESPECIFICAO0 163 --- - - 163

IXTLAHuACAN 4.775 621 161 909 2 815 IS4 53 62

LAMINA IE CARTON 48 37 7 CARRI2C. BAM4U 0 PALMA 17 92 1d 25 74 -IT EMA&RRC 0 BAJAREQUE 1 801 315 63 184 1 187 16 24 12 ADERA 546 112 55 122 226 i5 16 - LAMINA DE ASbESTO 0 METAL 113 - 13 67 - 31 - 2 ADOBE 264 31 6 7 2201 - - - TABICUE.TABICONoLCKETC. I 664 33 2 504 1 030 90 5 - OTROS MATERIALES 61 1 - - 57 2 - - MATERIAL NO ESPECIFICACO 62 -I 1 4

TIERRA 3 129 573 153 538 2 13S 651 531 12

LAMINA DE CARTON 4 37 4 7 CAkR120, BAMAU 0 PALMA 199 87 13 25 61 -6I - EMBARC 0 bAJAREQUE 1 690 301 57 161 1 119 16 24 12 MAE WA 471 110 55 93 1 132 15 16 - LAMINA JL ASBESTO 0 METAL 71 - 5 -0 l -, - ADOBL 2351 3 6 - 168 - - TABIIUE.TABICIJ..LOCKETC. 713 6- 2341 36 22 5 OTRO MATEWIALES 531 - - 50 2 MATERIAL NI ESPECIFICAUO 12 - - - 12- -

88 Ocupantes de viviendas particutares por municipio, material predominante on pisos y paredes de la CUADRO20 vivienda segun material en techos emueemn

MATERIALENrTECHOS

MUNICIPtI.MATERIAL EN PISOS TOTAL LAMINA PALMA. LAMINAOE LOSAOE CONCRETO. YPAREOES OCWANrES OE TEJAMANIL ASBES100 TEJA BOVEOACE LAORILLO. OTROS NO METALICA TERRAOOENLADRILLA- MATERIALESESPECIFICADO CARTON 0 MACERA 0050RRE VIGAS

CEMENIO 0 FIME 1 129 %3 44 67 LAMIA DECARTON CARRIZO, SAMSU 0 PALMA EMBARRO 0 DAJAREQUE 1091 14 23 66-- - MAGEA I 71 - 29 - - LAMINA OE ASEStO 0 METAL 25 -- 2 - 13- ADOE 59 - -? 52 - - IASI0UE.1ABICON.8LOCKETC. 998 27 2 273 484 62 - - OTROSMATERIALES 7: - -! - 7 - - - MAICRIAL NO ESPECIFICAOO 2 - - - 2 - -

MOSAICO U OTRORECUBRIMIENTO 50 27 41

LAMINA DE CARTON ------CARRIZO, BAM8U 0 PALMA S5 - - - EMBARRO 0 SAJAREQUE 21 - - MAERA -A --- LAMINA DE ASSESTO 0 METAL - - - - S6 - - ADOBE ------TAIOUEABICON,LOCKETC. 3s - - 27 2 6 - - OTROS MATERIALES - - - . . - - MATERIAL NO ESPECIFICADO ------

PISO N0 ESPECIFICAOO 67 - - 17 - - 50

LAMINA DE CARTON - CARRIZO, 9AM8U 0 PALMA 5 ------EMBARRO 0 BAJAREQUE - - - - - MADERA 4 - LAMINA DE ASESTO 0 METAL - - - - - 2 ADOBE - - - - - TABIOUE.TAAICON.BLOCKETC. I a 8- OTROSPATERIALES ------MATERIAL NO ESPECIFICAO0 99 - - - - - g

MANZANILLO 11 941 10 410 9 056 9 553 11 621 29 231 1 1331 1 935

LAMINA DECARTON 2 113 1 482 233 56 99 110 21 101 CARRIZG, SAMBU 0 PALMA 4 20S 710 2 730 220 308 !9 29 107 EMEARRO C BAJAREQUE 2 206 503 604 242 548 276 16 17 MADERA 6 401 2 825 1 612 611 1 134 95 6 7 37 LAMINA DE ASBESTO 0 METAL 1 326 120 100 4911 136 3701 20; 69 AOBE 1 906 210 237 31 809 235 27 52 TABIOUE.TASICON.BLOCK.E1C. 50 369 9 069 3 295 7 274 a C12 i 26 649 b97 377 OTROS MATERIALES 1 836 3761 201 250 412 316 255: 26 MATERIAL NO ESPECIFICAOO 1 577 60 46 38 168 136 - 1 129

TIERRA 20 54$ 6 069 6 648 2 34ig 3 961 1 112 2131 194

LAMINA DE CARTON I 519 1 119 198 Sb 72 29 2! 43 CARRIZO, SAMBU 0 PALMA 3 715 700 2 497 166 241 31 29 4 EMSARRO 0 BAJAREQUE 1 564 418 556 119 413 56 2 - CADERA 9 766 2 077 1 468 350 763 5 5 6 LAMINA DE ASBESTO 0 METAL 356 89 60 110 90 59 - 9 AOBE 962 118s 1651 132 %9 20 31 26 TABI0uE.TABICON,8LOCK,ETC. 6 916 1 330 1 507 1 345 1 77£ 852 601 44 OTROS MATERIALLS 637 196 175 116 3s 65 9 MATERIAL NO ESPECIFICADO 111 19 22 9 90 11 - 10

CEMENIO 0 FIRME 35 674 3 932: 2 200 6 604 7 109 14 806 . 639 382

LAMINA DE CARTON I959 297 19 30 231 80 - 9 CARRIZC. BAMBU 0 PALMA 403 62 198 52 67 13 51 6 EMBARRO 0 BAJAREQUE 521 75 48 110 135 139 131 6 MADERA 1 373 i 624 114 226 352 30 21 6 LAMINA DEASE5TO 0 METAL 839 36 40 325 89 27 18 ss ADOE 789 79 5 204 286 141 15' 7 TABIQUETASICON,LOCK,ETC. 29 953 2 558 1 681 5 468 5 778 13 873 430 165 0TROS PATERIALES 943 160 26 163 257 183 137 17 MATERIAL NG ESPECIFICADO 395 %1 24 26 123 73 - 108

MOSAICO U 0IR0 RECUBRIPI4ENTO 14 130 315 40U 557 523 12 214 263 116

LAMINA IE CARTON 56 941 - - 2- CARRI2C, SAMSU 0 PALMA 29 - 21 2 - - - EM*ARRO 0 bAJAREQUL 109 4 13 86 1 5 MA A194 95 30 32 12 2 - LAMINA DE ASBESTO I METAL 98 - - 9 $ 39 2 - ADOBE 124 6 22 5 20 67 , - TABI0UE,TA81CON,BLOCKETC. 13 206 19 67 427 940 11 140 198 85 O0ROSMA1ERIALES 256 20 - 26 39 118 53 - MATERIAL NO LSPECIFICADO $8 - 3 - 42 - 13

P150 90 EPECZFICA0O 1 592 94 70 1 4 20 97 1' 1 291 LAMINA UL CA-2TON 81 25 16 - -! - 90 CARRIZO, BAMBU 0 PALMA 191 -- 4761 EMBAReO 0 bAJARcUt 12 -- MADERA 6e 29 -3 7 -4 25 LAMINA DE ASBESTO 0 METAL 33- 7 - 3 - 23 A0OCL 31 7 - - - -1 19 TABIQUC0TASICON.9LOCKLTC. 293 27 90 34 16 4 9 93 01805 MATERIALLS - - - MAIERIAL N0 ESPECIfICAUO 1 013 - 5 10 - 998

89 Ocupantes de viviendas particulares por municipilo, material predominante en pisos y paredes de la CUADRO 20 vivienda segon material en techos continuacion

MATERIAL EN TECNOS

MUNICIPIO.MATERIAL EN PISOS TOTAL LAMINA PALMA, LAMINAO LOSAOf CONCRETO. Y PAREOES OCUPANTES OD TEJAMANtL ASBESTO0 TEJA BOVEDAOELADMItLt0 OTROS NO CARTON OMADERA METALICA TERRAO ENLADRILLA- MATERIALES ESPECIFICADO 00 SORE VIGAS

MINATITLAN 6 767 1309 71 694 82 30 AINA DE CARON 191 IS? gi 321 : CARRI0, B- u 0 PALMA 589 368 49 19 EMSARRO 0 8AJAREQUE 671 398i 13! 2511 2- MADERA 47 396 5 - - LAMINA OE AS8ETO 0 METAL S2 £2 - 25 I 4 - AD0E - 11 235 - 149. 609 23- TAaX0E.TAaIC0k.8LOCK.ETC. 3 622 171 24 477 64; 2 277 2 07600 MAIERIALES 90 62 - 23- 57- MATERIAL 00 ESPECIFICAO 54 10 2 - 36

TIERRA 3 391 1 670 60 265 1 282 77 3e 3

LAMINA OE CARTON 170, 1361 11 - 20 - - 3 CARR120, aAM U 0 PALMA 51 360! 14 9 196 - - - EMSARRO 0 SAJAREUE 662 392 7 10 251 - 2 - MADERA 450 372 12 21 45 - - - LAMINA DE ASESTO 0 METAL 27' 12' - 11 - 9 - - ADOBE a91 233 - 125 471 12 -- TASIUETABIC0dLOCK,ETC. 569' 309l 16 1091 272, 61 7 - OTROS MATERIALES 79 5 - - 231 - MATERIAL NO ESPECIFICADO 12i 10 - - 2 -

CEMENTO 0 FIRME 2 069 124 11 383 44 1 069 11 7

LAMINA OE CARTON 21 21 ------CARRIZ, RAMU 0 PALMA a 6 - EMBARRO 0 BAJAREQUE 31 - - 3 - - - - MADE6A 26 i1 3 - 10 - LAMINA DE ASRESTO 0 METAL 20 - - 9 4 - - 7 ADOBE 152 2 - 29 1151 11 - TAS QUETASICON,8LDCK,ETC. 1 642 67 S 3#7 31 05 11 - OTROS MATERIALES 1: 11 - - - MATERIAL N0 ESPECIFICAOO -

MOSAICO U CTRO RECU8RIMIENIO 1 221 1 - 21 30 £ £42 7 -

LAMINA DE CART0N ------CARRIZ0, RAMBU 0 PALMA - - - - EMBARRO 0 AAJAPEGUE ------MA RA I LAMINA DE AssESTO 0 METAL ------ADOB8 9E- - -9 -9 TABI0UETABICON,SLOCK,ETC. £ 211-: 21 211 1 162 7 OTROS MATERIALES - - - MATERIAL NO ESPECIFICADO - - -

P150 NO ESPCCIFICADO 66! 1 - - - 36

LAMINA DE CARTON - - CARRIZO, BAMBU 0 PALMA - - - - EMBARRO 0 RAJAREQuE 6 6 - - MACRA 8 - - - - - LAMINA DE ASBESTO 0 METAL 5 - - 5 - - - - ADOBE 9- - 9 - TABIO UE,TA8CON,LOCK.ETC. - - - - - OTROS MATERTALES - - MATERIAL NO ESPECIFICADO 38 - - - - 36

TECOMAN 66 593 7 065 6 657 20 375 21 950 6 210 702 £ 369

LAMINA DE CARTON 1 551 886 318 911 1251 0 - 121 CAaRIZ0, 8AM8U 0 PALMA 16 964 . 190 4 717 9 175 3 474 146 120 192 EMBARRO 1£ 3070AJAREQUE 138 89 394 597 75 - 14 MADERA 2 76A 607 434 642i 56 3£ 17 21 LAMINA DE AS8ESTO 0 METAL 2 491 49 148 1 272 930 335 29 17 ADORE 1 395 121 27 3691 691| 189 121 16 TASIQUE,7Aa1CON,8L0C,ETC. 36 35£ 693 635 12 727! 1% 547 7 110 276 £65 OTROS MATERIALES 2 606 162 253 565 ! 049 263 298 4 MATERIAL NO ESPECIFICA0 1 140 21; 36? 1201 2311 5 - 661

TIERRA 30 363 6 16S S 801 6 5521 1 250 934 271 407

LAMINA DE CARTON 1 29% 747 307 7 90 10 - 66 CARIZ0, BAM U 0 PALMA 15 247 / 960 4 368 3 552 3 020 125 82 140 EMAARRO 0 AAJARECUE 751 129 66 230 299 32 - - MADERA 2 397 744 369 523 703 5 17 21 LAMINA DE ASSESTO 0 METAL 926 261 116 447 182 72 14 67 A008E 498 5 12 129 291 22 9 - TASIOUE,TA8ICOh6ALCK,ETC. 7 765' 325: 314 3 2%01 3 218i 595 60 13 OTROSmATERIALES 1 300 126 i 222 306! 4 59 89 44 MATERIAL N40 ESPECIFICADO 202 21 12 l 498 1% - 54

CLMENTO 0 FIRME 30 212 01 972 10 723 12 567 4 619 31% 196

LAMINA DE CARTON 180' 1171 111 27' - - 14 CARRIZO, BAMu 0 PALMA 1 5941 200 1 306 560! 411, 21 21 2 EMBARRO 0 8AJARE UE 484 9 23 16£ I 234; 43 - 14 .AUERA 345 so 32 115 12 6 - - LAMINA DE A58ESTO £ METAL I 315 21 29 753 237 202 is 56 ADOBE 0 36 15 292 372 136 - - TAbIQUETAUICCNbLOCK.ETC. 29 175 3S sit a 56 10 165 4 002 165 96 176 113 - 070 MRS1ATE1ALE$ 1 09 j: 16 26 2271 551 MATERIAL No ESPECIFICADO 2621 - 20 49 141 33 - 12

90 Ocupantes de viviendas particulares por municipio, material'predominante en pisos y paredes de la CUADRO20 vivienda segOn material en techos conctuuon

MATERIALEN TECHOS

MUNICIPI0.MATERIAL ENPISOS TOTAL LAINA PALMA LAMINAE LOSADECCOCRETO. YPAREDES OCUPANTES TAN ASBESTO0 TEJA BOVEDADE LADAILLO. OTROS NO CARTONPTJAMANIL MET TERRA00ENLADRiLLA. MATERIALESESPECIFICAO0 CATN 0MADERA METALICA TERRA00 508RE1 VGAvIGAS

MOSAICOU OTRO RECUBRIMIENTO 837 29 52 1 010 999 2 613 1:7 22

LAMINA DE CAREON 23 12 - - - 4 - 7 CARRIZ0, aAMSU 0 PALMA 92 23 39 291 - 7 - EMBARRC 0 8AJAREQUE S- - - MADERA 2! 18 N - LAMINA DE ASSE5TO o METAL 129 -: 3 5$ 11 50 - 6 OOSE 76; -: -1 16 22 31 3 - TABIQUE.TAGICON,8LOCMLTC. % 221 e 31 69 07 2 460 5? 7 0ROS PATERIALES 164 732 2N 48 46 2 MATERIAL NO ESPCCIFICADO 39 - - 12 4 P10 NO ESPECIFICAOO 1 IN' 70 32 90 1191 9 - 759

LAMINA DE CARTON S 10 - 6 N - - 34 CARRIZC, 8AMBU 0 PALMA 64i 26 201 29 34 - EMBARRO 0 SAJAREQUE 7- - 3 MADERA 11 11 - - - - - LAMINA DE AS8ESTO 0 METAL 76 - 16 - 11 - 47 ADOBE 22 - 91- - 16 TA6IOUE.TABICON,8LOCX,ETC. 190 10 8 33 57 33, - 49 OTROS FATERIALES 33 3- - 20 - - MA ERA NO ESPE CIFICA0067O 6 14 -- 613 VILLADE ALVAREZ 39 7 3 510 401 4 476 5 280 5 056 315 933

LAMINA DE CARTON 1 633 1 392 :0 226 73 is 9 73 CARRIZO, BAMBU 0 PALMA 06 390 6 37 31 6 32 - EMBARR0 0 BAJAREQuE 6301 321 62 91 2531 6 2 13 MAOERA 903 530 60 166 120i I - LAMINA VE ASBESTO 0 METAL 430 28 1 227 90 0 151 22 ADOBE 3 461 190 20 268 2 693 122 34 14 TABIOUETABICDN,BLOCKETC. 10 200 622 59 3 209 1 720 4 414, 1021 79 GTROS MATERIALES 747 95 3 156 1081 246, 1391 - MATERIAL NO ESPECIFICADO 561 42 51 59 801 97i 2i 230 TIERRA 6 667 2 953, 28R, 1 769 1 121 624 5 5

LAMINA DE CARTON I 553 1 205 30 219 39 1 3 41 CARRI2Z, BAMBU 0 PALMA 980 332 533 12 EMBARRO 0 BAJAREQUE 701 I 321 , 69 60 209 1 40 2 - MADERA 837 511 59 159 101 7 - - LAMINA DE ASBESTO 0 METAL 161 28 1& 61 12 16 - 4 ADOBE 597 111 4 64 371 20 5 2 TABOOUETABICON.8LOCK,E1C. 2 263 368 40 1 052 298 496 - 9 OTROS MATERIALES 216 68 - 71 20 23 34 - MATERIAL No ESPECIFICADO S9 9 12 9 28 CEMENTO 0 FIRME 9 393 45: 96 2 903 3 347 2 611 172 104

LAMINA DE CARTON 1 165 129 6 9 16 2 6 2 CARRIZO, BAMSU 0 PALMA 16- 10 - - 6 - (EMBARRD 0 BAJAREQUE 101 - 13 31 36 21 - MADERA 661 19 1 27 19- LAMINA DE ASSESTO 0 METAL 228 - - 127 19 51 12 ADOBE 2 208 25 7 162 1 907 72 23 12 1ABIUE.TABICON,8LDCX,ETC. 5 949 230 19 1 926 1 236 2 449 5,1 3S OTROS PATERIALES 402- 27 3 75 72 153 721 - MATERIAL NO ESPECIFICADO 254 33 39 :6 :2 53, 2 39

MOSAICOU OTRO RECUBR1MIENTO 2 880 39 9 299 608 1 589 - 67 52

LAMINA OE CAR7ON 29 11 - - s- CARRIZO, BAMaU 0 PALMA - - - - EMBARRC 0 BAJAREQUE 15 - R 7 - MADERA - - - t- - - LAMINA DE ASBESTO 0 METAL 37 - 19 9 6 - 3 ADOBE 646 9 9 40 561 26 TA9IDUE.TA8ICON,8LOCK.ETC. 1 951i 2% - 225 16 1 7 98 21 0IRDS MATERIALES 129 - - 5 16 70 33 MATERIAL No ESPECIFICADO 76 - - 7 10 33 -1 28

PISO NO ESPECIFICADO 331 60 b a N 34 - 219

LAMINA DE CARTON 66 S2 9 - - - - 30 CARRIZO, BAMBU 0 PALMA 10 a 2 * - - - EMBARRO 0 dAJAREJUE - - - -- 9 MADERA - - - LAMINA DE ASBESTO 0 METAL 4 - - - -3 ADOBE 10 - 2 4 4 - TAB IUE.TABTCONdLOCK,ETC. 37 - 1 - 22 - lN OTROS MATERIALES 5I ------MATERIAL NO LSPECIFICADO 170- - - 7 - 163

91 Viviendas particulares y ocupantes por municipio segUn tipo d!e tenencia. tipo de bano. uso de la cocina y combustible usado para cocinar CUADRO21

93 Viviendas particulares por municipio. disponibilidad de enerqla electrica y agua entubada, segon disponibilidad y tipo de drenabe CUADRO22

CONTUERIA 0E0 ENAA MU3130 IPOIIIOOOEEOATOTAL. I I No MUNICIPIO.0 DE ENERGIA vON11LtADT OAAS CONECTADA CONECTADA 2UE DESA. NO TUIERIA ESPECI. ELECTRICAY AGUA ENTUBADA PARTICULARES A FOSA AL OREA&E GUAAL ESPCIF. Of RENA- FICADA SEPTICA Pu8ECO suEE0 CAOO E

TOTAL 6 270 $ 974 268 &7 1 087 1 6-21 2- 92 1 936

DISPONEN Of AGUA E1TUba0A S4 166 5 Ze27 710 929 1 493 17 $20 815 0 u4f0LE LA VIVIENuA 419 687 4 317 25 2.0 758 1 360 12 439 577 NO EN LA VIVIthUA PLO SI IN LL (JIFIClIu 7 55 924 I ?5C 137 99 4 252 193 ku EN LA VIVIENDA PLU 51 LLAVE PUBLICA 2 199 183 740 33 39 1 329 45 690 U115POk N 0E AGOuA 9 53 55C 1 097 163 39 7 009 515 NO ESPECIFICAO0 546 - - - - 596

015P0NEN DE E14ERSIA ELECTRICA 52 975 5 529 27 711 94i 1 540' 6 -449 a-2

DISPONEN Of AGUA ENTU4A.A it 119 5 072 26 717 830 I 406 13 -4 596 OE91Q0 DE LA vIIENLA 40 732 e 176 .9 50, 3 9 706 430 NO EN LA VIVIENDA PRO SI EN EL EDIFICIO 5 739 844 1 5G1 119 83 3 0481 139 NO EN LA VIVIENUA PLOO S1 LLAVE PJ6bICA 1 653 150 676 28 28 7441 27 40 UISPOktN OE A5UA 4 $56 %57 994 114 139 2 951 206 NO ESPECIFIAO - - -

NO DIoPONEN DL ENERGIA LLECTRICA 10 073 364 916 136 82 8 195 356

0ISPONEN DE AGUA ENTUbA A 5 645 300 $27 90 71 9 199 158 DENTRO DE LA VIvIENL0 3 616 195 550 70 50 2 655 98 ho IN LA VIVINOA PERO SI E EL EOIFICIO 1 560 72 237 16 16 1 175 -44 NO ENt LA VIVIENDA PERO SI LLAVE PUBLICA 467 33 %0 4 s 369 16 NO UISPONEN DE AGuA k 426 9 69 48 11 3 996 200 NO ESPECIFICA00 - 0 - -

NO ESPECIFICA E 1ERGIAELECTRICA 1 222 61 1*0 5 20 ISO 716

DISPONEN Of A6U ENTubAA 422 52 166 91 16 123 61 DENTRO UE LA VIVIENuA 337 44 150 1 i6 49 N0 EN LA vIVIENDA PLRO 5 EN EL EDIC1 61 6 12 2 - 29 10 NO EN LA VIVIENOA PtR0 SI LLAVE PUBLICA 24 1 - 4 1 1 16 2 NO DISPONEN DE AGUA 254 9 14 1 4 57 169 NOESPECIFICADO 546 -- - 546

ARMERIA 8 011 610 64 73 33 2 919 312

DISPONE DE AGUA 3NTU.AuA 3 939 569 60 69 26 2 500 190 DENTRODE LA VIVIEN A 2 731 969 52 63 29 1 974 15 NO EM LA VIVIN A PLRP# 51 EN EL E31FILIO 523 71 6 6 2 408 30 NO EN LA VIVIENUA PER0 53 LLAVE PJBLICA 160 34 2 - - 116 6 90 U1SPON1 N 0L AGUA 522 91 ! 9 7 419 97 N.0 ESPECIFICA00 75 - -- 75

01SPONEN DE ENERGIA ELETRICA 2 968 546 53 69 29 2 D31 356 0ISPOEN DE AGUA ENTUbA6A 2 691 517 52 23 I 6s5 148 0ENTRO0E LA WIVIENLA 2 229 62. 46 62 21 1 549 121 40 LA EN VIVIEND PERO6 S1 Ef EL EJIFICIO 367 62 5 4 2 270 29 NO EN LA VIVIN A PL O SI LLAVE PueLICA 100 27 1 - - 69 3 NO DISPk DE AGUA 197 31 1 31 6 146 10 N0 LSPECIFICAOO ------

NO DISPONEN 0E ENERvIA LLLCTRICA 1 000 58 9 4 2 668 59

DISPONEN E AGUA ET0.A8 691 46 61 3 1 599 34 DENTRO0E LA VIVIEN.A 479 32 9 1 1 16 25 NOEN LA VIVIENA PEQ $1 EN EL EJIFICIO , 152 9 1 2 - 134 6 NOEN LA VIVI040A EPRO SI LLAVE PJBLICA I 60 7 1- 49 3 60 uISPONLN DE AGuA 33C.9 10 3 1 1 269 25 NO ESPECIFICADO - --

NO ESPECIFICA ENERGIA ELECTRICA 123 4 2 - 2 20 95

DISPONEN DE AGUA ENTUoAUA 32 4 21 - 2 16 0EN9R6 0E LA VIVIEN A 26 4 2 - 2 12 8 NO EN LA VILtNDA PLPO SI Eu LL Eo IFICIO - - 4 N EN LA vIVIENOA P3RO SI LLAVE PJBLICA - - - - NO 0ISPONENDE AGuA 16 - - - 12 NO tSPECIFICA0O 75 - - - 75

COLIMA 19 439 $1* 19 530 180 626 3 228 350

1ISP0EN DE AGUA NTutA6A 17 101 e43 14 136 153 586 1 701 67 D0NIRO E LA VIVI[N3A 15 349 356 13 1z5 132 548 1 59 57 NO EN LA VIVENLA PtRO 1, Eh EL EDIFICIO 1 306 711' 72% 32 447 19 hu EN LA VIVIEN.A PLRO SI LLAVE P.PLILA %53 17 30 7 8 103 11 9O DISPONEN OE AGA 2 215 75 394 0 1 527 152 NO CSPECIFICAU0 II- - - I11 0ISPONE9 Of ENERGIA ELELTRILA 17 171 955 1 095 159 605 1 760 97

DISPONEN DC AGUA LNTuALA 16 236 916 13 735 140 567 1 339 51 0.6190 33E LA VIVIENA 14 825 327 12 833 1 127 533 968 37 NO 3. LA VIVILNwA PLRV SI EN EL E3I10 ' I 036 68 610 8 27 315 10 60 LN LA vIVENUA P900 S LLAVE PuFLCA 375 11 292 56 NO DISPO6tN DE AGUA 933 9 360 19 3s 421 46 N ESPECIFICO6- - --

NOJISPONEN DE EN3R3.1A tLECTRICA 1 961 55 351 i 21 16 1 42 74

DISPONEN UE AGUA ENTUoAZJA 755 32 1 322 13 16 351 21 OLN1RU OE LA VIVIEA- 419 24 197 5 10 176 7 6,s LN LA vIVIENA PLOv SI EN LL EDIFIcO [ a 261 2 112 6 5 129 7 Nh LN LA vIVIch%.A Pt3O ol LLAVE Pu6LILA 75 ; 13 2 1 46 7 NO uo!PONEN DE AGUA 1 206 23 29 8 2 1 091 53 N0 ESPECIFICAUO ------

95 I

Viviendas particulares por municipio, disponibilidad do energia elctrica y aqua entubada, segUn disponibilidad CUADOo 22 y tipo do drenaje Gtiupi6n

CONTUSERIA OEORE WAJE NO TTLSIN N MUNICIPIO.DISP0NIBILIOAO Of ENERGIA TOTAL I TBRA U VIVIENDAS CONECTAA COMECTADA out EESA- NO TUSERIA ESPECI- ELECTRICAY AGUAENTUGAOA PARTICULARES A FOSA AL GRENAJE GUA At I ESPECIFI. OEURENA- FICAOA SEPTICA PUILICO SUELO CA0 JE

NJ ESPECIFICA ENERGIA ELECTRIC3 179

0ISPONEN Of AGUA EN1UvADA 115 7-S 11 I5 DENIRODE LA IVILNA 105 S 13 60 LW LA VIVIENdOA PLRO 51 E1EL EDlIFCIO 7 - 2 - 3 2 40 EN LA vIWIENUA Pt0 1 LLAWE PUOLICA 3 - - - No UISPONEN IE AGUA 6 S - - 5 3 NO ESPECIFICADO 111 - -

COMALA 2 $60 167 755 47 1S1 705 141

DISPONEN OEAGUA ENTUeAA 2 257 156 739 46 1 42 1 10 92 DEN1RO OE LA V4vlELA 1 667 141 667 44 39 896 60 NO LW LA NIVIEN0A PO SI Em EL EIFICIO 291 I3 16 1 2 229 30 NO EN LA wIVILNUA PLR0 1 LLAVE PUBLICA 99 4 36, 1 I Ss 2 NO DISPONEN IL AGUA 592 9 16 3 525 36 60 ESPECIFILADO 11 - I DISPONEN DE ENERGIA ELECTI1CA 1 934 143 725 41 40 910 is

DISPoNEM DE AGUA ENTUbAOA 1 709 135 711 40 3 725 61 DENTRO UE LA VIVIEN A 1 41 122 465 i 38 35 571 40 NO E L A WIVIENA PL O SI Ek EL EDIFICIO 169 9 14 1 1 124 20 NO EN LA VIVIENLA PERL SI LLAVE PU6LICA 69 , 4 32 1 1 30 1 NO D1SPONEN E AGUA 225 8 14 1 3 15 14 NO ESPECIFICADO -

NO DISPOWEN DE ENERGIA LLECTRICA 511 20! 261 6 5 779 45

DISPONEN DE AGUA LfTUpAUA 526 19 2%4 6 5 444 26 DENTRO DE LA VIVIENLA 376 16 16 6 4 317 17 kO E LA VIVIEN A PERO SI EN EL EDIFICIO 119 3 2 - 1 103 10 NO EN LA VIVIENOA PtRO S1 LLAVE PUBLILA 29 - - - 24 1 NO DISPONEN DE AGUA 355 1 2 335 17 NO ESPECIFICADO - - - -

NO ESPECIFICA ENERSIA ELEC7RICA 45 4 16 21

DISPONEN UE AQUA ENIUbADA 22 4 4 - - 11 3 OENTRO DELA VIVIENCA 16 3 4 - - 6 3 WI EN LA VIVIENDA PLRO SI EN EL EDIFICI0 3 1 - - 2 - Ni EN LA VIVIENOA PERO SI LLAVE PUBLICA 1 - NO DISPONEN DE AGUA 12 - - - - 7 NO LSPECIFICA0O 11 - 11 COQUIMATLAN 2 523 146 666 37 62 1 540 72

OISPONEN DE AGUA ENTUacAA 2 166 138 653 37 61 1 232 45 IEN1l0 DE LA VIVIENA 1 836 117 613 33 60 975 38 NOE LA VIVIENDA PERU SI EN EL EJIFICIO 231 14 26 2- 162 7 NO EN LA VIVIENGA PER0 SI LLAVE PUBLICA 99 7 14 21 75 - NO DISPONEN OL AGUA 346 a 13, 1 308 16 NO ESPECIFICADO 9 OISPOEN DE ENERGIA ELELTRICA 1 929 133 629 36 60 1 026 45

DISPONEN OE AGUA ENTU&ADA 1 794 126. 616 36 59 9171 36 DENTRODE LA VIVIENLA 1 556 110 583 32 56 7431 32 NO EN LA VIVIENOA PLRO SI EN EL EDIFICIO 166 12i 21 2 - 127 6 NO EN LA VIVIENA PLOO SI LLAVE PUPLICA 68 4 18b 2 I 47 - NO ISPONLN 0L AGUA 135 7 11: - 1 109 7 NO LSPECIFICADO - - NO DISPONEN IE ENRGIA LLLCIRICA 556 101 34 - 500 11

0SPONENDE AGUA tNTUcaLA 350 94 321 1 - 302 6 OLNTRO DE LA VIVIENLA 261 4 291 - 222 5 NO EN LA VIVIENLA PLR S1 EN EL EDIFICIJ 61 2 3 - - 55 I NO EN LA VIVIENCA PERO SI LLAVE PUBLICA 28 - - 25 %0 DISPONEN DE AGUA 206 1 2: - - 196 5 NO ESPECIFICADO - - - NO ESPECIFICA ENERIA ELECTRICA 38 3 3 - 2 14 16

0ISPONEN IL AGUA LNIUoAuA 22 3 3 - 2 13 1 DENIRO IE LA VIVIEN.A 17 3 1 - 2 10 1 NO EN LA VIVILP.A PLRC SI EN EL EDIFICIO 2 - 2 - - - NO LN LA VIVIENDA PtR0 SI LLAVE PUBLICA 3 - - - - 3 - NO UISPONEN DE ACUA 7 - - - - 1 6 NJ LSPECIFICAGO 9 - 9

CUAuHTEMOC 3 627 310 1 852 119 131 1 318 97

OISPOMEN DE AGUA ENIUoADA 3 390 30C 1 769 106 122 1 041 50 IENTRO GE LA AIVIENIA 3 002 279 1 637 98 108 837 43 NO LN LA VIVIKtCA P10 SI EN EL EDIFICIO 252 17 81 7 101 135 2 W0 EN LA V1IVINDA PLW- SI LLAVE PUSLICA 136 4 51 3 4 69 5 NO DISPONCEIL AG.A - 410 IG 63 11 9 277 20 NO ESPECIFICA0O0 27 - - - - 27 DISPOhEh DE ENEkGIA ELELTRICA 3 321 ?91 1 761 104 123 974 43

015ONEN IE AGLA ELTUoAA 3 067 282 1 704 101 116 6271 37 IENIRO OE LA VIVILNEA 2 753 266 I S. 91 106 679 31 WI EN LA AvIIINCA P.00 51 El EL CIFICI0 ?05 13 74 7 9 101 1 NI LN LA WIAILNCA PL1O SI LLAVE PUBLILA 109 3 50 3 1 47 5 NO wISPOIEL 0L AGUA 254 9 77 8 7 147 6 NOLSvECIFICAO0 - - -- -

96 Viviendas particulares poi municipio, disponibilidad CUADRO 22 de energia eotctrica y agua entubada, segOn disponibilidad ewnnuacon y tipo de drenaje

CONTUSERIA 0E DMENAE

TOTAL S NO MUNICIPIO. DISPONIBILIDAD0E ENERGIA VIVIENDAS CONECTADA CONECTADA QUE DESA- NO TUSERIA ESPEC- ELECTAICAY AGUANEU8AOA PARTICULARES A FOSA At ORENAJEGUA AL ESPECiFI- D ORNA FICADA SEPTICA PUSLICO SUELO CADO

NO DISPONEN OE ENERGIA LLLCTRICA %41 15 60 9 8 335 14

DISPONEN DE AGUA ENTUbADA 299 15 54 6 6 209 1 DEN16O DE LA VIVIE,.A 230 11 i7 6 2 IS6 I 90 EN LA VIVILP.UA PLRuI SI EN EL 01flFCIO ;% 1 3 6 - 1 33 1 NO EN LA VIVIENDA PLRI $1 LLAVE PBLICA 25 I 1 - 3 20 - NO vISPONEN BE AGuA 1%2 - 6 3 2 126 s NO ESPECIFICA- - - - -

NO ESPECIFICA ENERGIA ELECTRICA 6S it 1 9 N0

OISPCNEN DE AGUA LNTUVADA 24 3 11 1 - S, VENTRO DE LA VIVIENuA 19 2 10 1 - 2 N NO EN LA VIVIENDA PLO CI EN EL EDIFICIO 3 1- - 1 NO LN LA VIVIENA PLR 51 LLAVE PUbLICA 2 - - - - 2 - NO UISPONEN DE ANA IIN - - - N 9 NO ESPECIFICAOO 27 - - - - - 27

IXTLAHUACAN 828 21 112 6 1N 634 41

DISPONEN CE AGUA EkIUADA 577 21 108 3 13 %0 26 DENfRO CE LA VIVIENuA 470 19 100 3 13 310 25 NO LN LA VIvIENIA PLR0 I EN EL EDIFICIO 62 2 4 - - 73 3 NO EN LA VIVIENOA PLRO SI LLAVE PUBLICA 25 - 4 - - 21 NO DISPONEN DE AGuA 244 - 4 3 1 230 6 NO ESPECIFICAO 7 - - - - - 7

0ISPONEN DC ENERGIA ELECTRICA %S4 15 91 3 11 319 17

DISPONEN E AGUA ENTUoAQA 395 Is 8 2 11 262 17 OENTRO of LA VIVIENCA 336 is &1 2 11 12 Is NO EN LA VIVILNUA PLR0 S1 EN EL EDIFICIO 45 - 3 - 40 2 NO EN LA VIVIENCA PLRC S1 LLAVE PUBLICA 14 - 4 - - 10 - NO DISPONEN CE AGUA 6l - 3 - NO ESPECIFICADO - - NO OISPONEN E ENERGIA ELECRICA 35S 4 19 3 3 313 13.

DISPONEN DE AGUA ENTUDADA 174 4 to 1 2 140 9 DENTRODE LA VIVIENIA 126 2 17 1 96 a NO E LA VIVIENOA PLRC SI EN EL EDIFICIO 37 2 1 - 33 1 NO EN LA vivIENDA PERO SI LLAVE PUNLICA 11 - - - 11 NO DISPONEN BE AGUA 11 1 2 1 173 N NO ESPECIFICAOO - - - - -

NO ESPECIFICA ENERGIA ELECTRICA 17 2 2 - - 2 I1

OICPONEN OE AGUA ENTUbAOA 8 2 2 - -2 2 DENTRO CE LA vIVIENuA 6 2 2 - 2 2 NO EN LA VIVIENCA PLPO S1 EN EL EDIFICIO - - - - - NO EN LA VIVIENCA PLRO SI LLAVE PUBLICA - - - - NO CISPONEN CE AGUA 2 - - 2 NO ESPECIFICA0O 7 - - - - 7 MANZANILLO 14 202 2 804 4 269 366 282 5 994 4&7

DISPONEN DE AGUA EN1UAADA 11 496 2 569 N 074 299 239 N INN 171 0ENTRO DE LA VIVIENtA & 410 2 009 3 567 204 212 2 319. 10 NO LN LA VIVILNOA PLRO SI EN EL EOIFICIO 2 535 498 412 4 19 1 473 49 NO LN LA VIVIENLA PLRO S, LLAVE PUoLICA 551 62 95 11 a 357 18 NO DISPONEN DE AGUA 2 52% 235 195 67 43 1 850 134 NO tsPECIFICADO 182 - - - 182 DISPONEN OE E 0ERGIAELECTRICA 12 11 2 710 N IA4 332 271j 4 439 195

DISPONEN DE AGUA ENTULADA 10 500 2 00 3 983 283 230 3 430: 134 -OE0TRO CE LA VIVILNGA 7 947 1 968 3 506 193 206 1 993 81 40 E LA WIVILNuA PtnO SI EN EL EDIFICIO 2 181 477 386 80 16 182 N0 NO EN LA VIVINDCA PEPO SI LLAVE PjBLICA 432 55 91 10 8 255 13 NO CISPONEN DE AGUA I 5S1 210 181 49 41 1 009 61 NO ESPECIFICADO - - -

NO DISPONEN E ENERGIA LLECTRICA 1 777 75 77 32 9 1 516 68

DISPONEN DE AGUA ENTUbAQA 649 52 67 1N 7 6ASj 2- ENIO DE LA VIVIEN A 399 28 38 11 ! 4 305 13 NO EN LA VIVIENDA PtPQ SI EN EL EDIFI.IO 339 17 25 3 3 283 8 Nu LN LA VIIVI.hA PLRC 5I LLAVE PUBLICA Ill 7 4 - - 97 3 NO ISPONEN DE AGUA 928 23 10 18 2 631 N4 NO ESPECIFICAIO ------

No ESPECIFICA ENEUGIA ELECTRICA 31% 19 26 2 2 39 224

DISPONEN CE AGUA ENlUQAuA 87 17 2% 2 2 29 13 OENTRO OE LA VIVIEN-,A 64 13 23 2 16 10 NOEN LA VIVIENLA PLOA SI EN EL EDIFICIO I5 N 1 1- 8 1 NC EN LA VIVILACA PLC SI LLAVE P.LILA 8 - - 1 5 2 NO OISPONEN 0E AGUA %5 2 4 -- 10 29 NO ESPECIFICAO0 162 - - - - 182

MINATITLAN 1 264 33 466' 16 25 7044 20

D ACUA LNIUsALA DISPONEN 947 32 463 12 24 411 5 :LNIRO OE LA VIVIEA 761 29 931 I Is 271 1 90 EN LA VIVIENDIAPEPR SI EN EL EDIFICIO lbS 2 32 1 124 N NO EN LA VIVItN0A PLRO SI LLAVE PUbLICA 21 1 2 - 2 16 - NO 0I5PONEN OL AGUA 311 1 3 i 1 293 9 NU LSPECIFICACO 6 - - 6

97 I

Viviendas particulares por municipio, disponibilidad de energia electrica y agua entubada, segun disponibilidad CUADRO 22 y tipo dc dceniaie e"chma

CONTUBERIA Of DRENAJE

TOTAL Tsx No MUNICIP10,01ISPON61tL0AD0E ENERGIA YO[TO AGAEIBD VIVIENOASVIVIENDAS CONECTADA CONECTADA 0UE DESA- NNO TUSERIAEDEA EPEC- ELECTRICAY AGUA EN7UBAOA PARTICULARES A FOSA AL DRENAJE GUAAL ESPECIFI- O DRENA. FICA0A SEPTICA PUSLICO SU001 CADO

DISPoNt.h 0E ENEEGIA LftE.TkA 770 28 45I 12 22 246 4

DISPONE OE AGUA LN.AuA 71% 28 56 10 21 196 S Ot4TRO OE LA VIWIENA ole 25 :29 9 17 13A - MO LN LA VIVLENOAPLR. SI EN LL EDIFICIO 92 25 1 2 59 3 A EN LA VIVILOA PLtO $1 LLAVE PUSLICA I 1 2 - 2 3 - NO OISPOMEN DE AGUA S6 - 2 2 1 50 I NO LSPECIFICADO - - -

NO l.ISPoNfk CE EERGIA LLLCTRICA el 5 6 3 3 s56S

CISPE DE ASUA EhIljnA.A 229 A 6 2 3 213 I 006tRO sE LA VlVILNsA 14% A 1 2 1 136 Nu EN LA VINIEAOA ALO0 51 EN EL E0IFICTO 72 - s - 2 6N I MO EN LA VINILNIA PtAC S1 LLAME PUBLICA 13 - - - 13 - NO D1SPONEm DE AGUA 249 - 243 4 NO ESPECIFICADO -

no ESPECIfICA ENERGIA ELECTRICA 16 - 2 1 2 11

DISPOMEM CE AAUA ENTIoAAA 4 - I - - 2 1 00NIRO JE LA WIVIENLA 3 - 1 - 1 1 NO EN LA VIVIENDA Pt0 S EN EL EOIFICIO 1 - - 1 * NO EN LA VIVIENDA PLR SI LLAVE PUBLICA - - - - * * NO UISPONEN CE AGuA 6 - I 1 - - N NO ESPECIFICADO 6 - - - - A

TECOMAN 11 792 1 104 A 490 195 306 5 383 314

DISPONEN CE AGUA EATUDALA 10 4Ma 1 030 A 349 163 265 4 53 128 CENIRO DE LA VIVILNUA 8 258 763 3 819 134 252 3 208 62 NO EN LA AivIENDA PLCU SI EN EL EDIFICIO 1 767 22 403 20 251 1 071 43 NO EN LA VIWILkA PLEC SI LLAVE PUBLIC& 423 42 127 9 8 234 3 NO UISPONEN IL A6UA 1 231 74 141 32 21 670 93 NO LSPECIFICAO0 93 - - - - - 93 DISPOhEN OE EMERGIA ELEL7RICA 9 471 971 4 177 140 272 3 788 123

OISPOMEN CE AGUA ENTU*ACA a 959 917 4 )59'1 122 257 3 Nl 93 tENTRO CE LA VIVILN.A 7 193 690 3 629 101 230 2 N79 64 MO EN LA VIVIENDA PLO SI EN EL EDIFICIO 1 336 194 319 14 ZI 760 28 NO EN LA VIVIENCA PLRO SI LLAAE PuBLICA 330 33 111 7 6 172 1 NO SISPONEN CE AGUA 612 54 118 18 15 377 30 MO LSPECIFICADO ------

NO DISPONEN 0E ENERGIA LLLCTRICA 2 Cal 119 261 54 26 1 555 46

DISFIEN OE AGUA ENTUbADA I $18 102 259 401 2N 1 071 22 DENTROCE LA eIVIENwA 1 003 63 166 33 19 710 12 NO EN LA AIVIEKA PLPO SI EN EL EDIFICIO tz? 30 79 5 301 8 NU LA LA VIVIENDA PLO SI LLAVE PUBLICA 8sA 9 14 2 1 60 2 NO uISPONEN DE AGUA 563 17 22 e 2 484 24 N O LSP E C IF IC AD O - - - - - 1 4 S

NO E-SPECIFICA ENERGIA ELECTRICA 240 14 32 1 A NO IN5

OISPONEN DE AGUA ENTUCAUA 91 11 31 1 A 31 13 OLNTRO DE LA VIVIENUA 62 10 24 - 3 19 6 NO EN LA VIVIENOA DLtV5 SI IF. EL EDIFICIO 24 I 5 1 - I0 7 MI. 0A LA VIVIENA PEP, 51 LLAwE PUBLICA 5 - 2 - 1 2 - kU gISPONEh IE AGuA 56 3 1 A6 9 39 NO .SPECIFICAOC - - - - 93

VILLA DE ALVAREZ 3 529 261 1 603 4 116 1 39 102 DISPOMEN OE AGUA EPTUbACA 2 3b3 164 1 359 34 93 694 19 DENIRO DE LA vIViLNIA0 2 003 140 1 229 32 86 503 13 NOEN LA AIVIENOA Pt O 5I EN EL EDIFICIO 183 12 Na 21 5 110 6 NO EN LA VIVIENLA PLRO SI LLAVE PUBLICA 177 12 82 -1 2 81 NO vISPCAEN DE AruA 1 1I41 97 24 14 i3 705 56 NO LSPECIFICACO 25 - - - - - 25

DISPOkEN DE ENERGIA ELEt.TkICA 2 924 235 1 538 43 107 956 As

DISPONEN OE AGUA IE%.TuAA 2 092 146 1 311 30 as 506 I4 DENTRO DE LA vivIEN6A I il 127 1 188 28 7 38 9 NO EN LA VIVIENGA PfR3 SI E% EL EDIFICIO 133 7 44 2 5 70 5 NO EN LA VIVIENUA PLRO $1 LLAVE PUBLILA iNA 12 79 - 2 55 NO wIOP3NEN CE AGUA 832 89 227 13 22 450 31 NO ESPECIFICAOO ------

NO DISPONEN DE ENERGIA LLECTRICA S43 23 53 s 8 431 23

DISPOkEN DE AGUA ENTU.ALA 2i. 15 39 A 7 165 4 OLNTRO SE LA VIvILNA 179 11 33 4 71 121 3 NO LN LA VIVItNA PLOO 5IEN EL EDIFICIO AS N 3 - NO I A, LA LA VIVIENLA PO. $I LEAVE PUPLICA 47 - 3 - 24 - NO uIuPOAtN DE AruA 289 a IN! 1 246 19 NO LSPECIFICADO ------

N ESPECIFICA ENEiGIA ELECTRICA M2 3 12 - 1 12 34

CISPONEM if AGUA ENTUoALA 17 3 9 3 1 DEMIRO At LA VIVIENLA 13 2 8 -1 1 1 NO LA LA VIVIsNuA LOU 51 EN LL EDIFILIO 2 1 1 - * Mg LN LA VIVILNUA PLP Si LLAVE PUBLICA 2 - 2 NO wlbPOmth DE AGUA 20 -3 -- 9 NO ESPECIFICADO -- - - 25

98 Ocupantes de viviendas particulares por municipio. disponibilidad de energia efictrica y agua entubada en la vivienda, segun disponibilidad y tipo do drenaje en Ia vivienda CUADRO23

CONTUBERIA OfDAENA* TOTALDE SIN 40 MUNICIPIO. O£SPONI8ILIOADOf ENEAGIA OCUPANTESENCONECTADA CONECTADA DUEOESA- 90 TUSERIA ESPECl. ELECTRICAY AGUA ENTUSADA PARICUL S AIOSA AL ORENAJE GUAAL iWC- OEDRENAA HCADA SEPTICA PUSLCO SLELO FICAGO

TOTAL 342 256 31 336 14 7oo 6 61 8432 137 269 10 272

OlSPOkEN Of AGUA ENTUbACA 268 6 - 28 126 4 2? 878 5 292 7 676 99 939 4 975 0ENTRODE LA VIVIENbA 238 359 22 529 130 6945 4 332 7 001 70 487 3 165 NO EN LA VIVIENOA PRO 50 EN EL EDIrICIO 38 826 415 8 342 764 515 23 318 1 012 NO Ef LA VIVIENDA PER0 SI LLAE PUBLICA 11 381 982 3 691 196 160 6 I1t 238 NO 0ISPONEW CE AGUA 50 688 3 010 5 &90 889 756 37 350 2 993 NO [SPECIFICAD0 2 604 - - - - 2 604

DISP00E DE E 1ERGIAELELTRICA 264 147 29 01 193 75 5 !00 7 945 93 958 4 474

0ISPONEN DEAGUA ENTUbAOA 257 410 26 469 138 338 4 16£ 7 264 77 135 3 323 OENTRO UE LA VIVIENLA 217 78 21 291 127 499 3 963 6 694 5 918 2 403 NO EN LA VIVIENA PERO SI EN EL EDIFICIO 30 733 4 375 7 375 709 - 39 17 070 770 NO EN LA VIVIENA PERO SI LLAVE PuSLICA a 869 803 3 98e 174 131 % 147 150 NO 0ISPONECE AGUA 26 737 2 52 S 397 643 68£ 16 323 1 £51 NO ESPECIFICAO. - - - -

NO 01SPONEN IE ENERGJA ELECTRICA 51 784 2 013 % 058 652 392 42 901 1 768 OZSPONEN DEAGUA ENYUbADA 28 919 1 596 3 656 412 329 22 142 769 0ENTRO DE LA VIVIENDA 16 774 1 022 2 348 34 226 19 168 466 N6 IN LA vIVIENDA PLR0 SI EN EL EDIFIC£O 7 775 395 925 53 16 6 066 238 NO EN LA VIVIEN0A PERO SI LLAVE PUBLICA 2 370 179 13 Is 27 1 686 80 NO 015PONEN DE AGUA 22 865 417 402 290 63 20 759 964 NO ESPECIFICA0O - - -

NO ESPECIFICA ENERGIA ELEC7RICA 6 327 312 955 2S 95 910 4 030

OISPONEN IC A6UA ENTUSBAA 2 237 261 664 £9 83 642 368 OENTRO DE LA VIVIENUA £ 797 216 793 5 81 401 296 NO EN LA VIVIENDA PERO 51 EN EL EDIFICIO 316 45 %2 7 160 69 No EN LA VIVIENDA PERO SI LLAVE PJBLICA 122 - 24 7 2 181 8 NO DISPONEN CE ANUA 1 286 51 91 6 12 268 658 NO ESPECIFICAOO 2 804 - - - - - 2 809 ARMERIA 21 597 3 163 402 453 161 IS 828 1 590

0ISPONEN DE AGUA ENTUbADA 18 721 2 984 381 927 £42 13 619 966 0EN1RO DE LA VIVIEN0A 15 O00 2 54 336 803 £19 10 963 775 NO EN LA VIVIENCA PLRO SI EN EL EDIFICIO 2 669 318 37 2% 23 2 279 163 N EN LA VIVIEN0A PLWr 51 LLAVE PUBLICA 802 182 - - 582S 30 NO DISPONEN DE AGUA 2 470 179 21 26 19 2 009 216 NO ESPECIFICADO 406 - - - - 406 OISPONEN DE ENERGIA ELECIRICA 16 029 2 83 3350 436 153 11 419 842

DISPCNEN IE AGUA ENTUAOA 15 063 2 704 340 414 135 10 6791 796 0ENTRO DE LA VIVIENGA 12 481 2 261 302 394 112 6 756 636 NO EN LA VIVIEN6A P.RO SI EN EL EDIFICIO 2 091 293 32 20 23 1 583 140 No EN LA VIVIEN0A PERO S1 LLAVE PUSLICA 491 130 6- - 335 20 NO DISPONEN DE A6UA 966 130 10 22 18 740 46 NO ESPECIFICACO - - --

NO 01SPONEN DE ENER6IA ELECTRICA 4 942 302 35 17 3 - 331 254

DI5PONEN DE AGUA ENTU6AIA 3 504 253 24 13 2 3 073 139 DENTRO DELA VIVIEN;A 2 435 146 17 9 2 2 15I 106 NO EN LA VIVIENEA PLAC S1 EN EL EDIFICO 758 55 5 1 - 67£ ' 23 No EN LA vIvIENDA PERO S1 LLAVE PUBLICA 311 52 2 1 - - 247 10 9o DISPONEN CE AGUA 1 938 49 11 4 1 258 )15 NO ESPECIFICAEO - - - -

NO ESPECIFICA ENERGIA ELEC7RICA 626 27 1 17 - 5 g3 9e

DISPONEN DE AGUA ENTUbAUA 154 27 17 - 5 72 33 0ENTRO DE LA VIVIENLA 134 27 17 - 1 52 33 NO EN LA vIVIENDA PLRO SI EN EL EDIFIC1O 20 - - - -2 - NO EN LA VIVIENDA PERO S1 LLAVE PURLICA - - - - NO AGUA DISPONEN DE 66 - - - - 5S NO ESPECIFICAO0 406 - - - - - 06

COLIMA 99 438 2 753 72 830 906 3 136 18 014 1 799

OISPOEN DE AGUA ENTUbACA 87 119 2 330 70 771 779 2 935 9 807 493 0EN10 DE LA VIVIENUA 78 570 1 842 66 126 690 2 750 6 835 327 NO EN LA VIVIEN A PEO SI EN EL EDIFICIO 6 279 408 3 177 52 133 2 383 106 No EN LA VIVIEN9A PLO SI LLAVE PUBLICA 2 263 80 1 968 36 32 589 60 NO UISPONE0 DEAGUA 11 792 923 2 059 124 201 8 207 774 NO LSPECIFICADO 532 - - - - - 532

DISPOE OC ENERGIA ELECTRICA 88 11 2 423 71 074 824 3 030 10 249* 514

OISPCNEN DE A6UA ENTUbAOA 63 094 2 152 69 166 733 2 84 7 919 279 DENTRO DE LA VIVlENbA 76 072 1 698 6 961 669 2 6A8 5 65£ 205 NO EN LA 9IVE01 PERO SI EN EL EDIFICCO 5 160. 398 2 796 38 135 1 738 53 6Q LN LA VIVIENUA PLRO SI LLAVE PUtiLICA 1 862 56 1 407 26 22 330 21 NO 10SPONE DEAGUA 5 020 271 1 908 91 85 2 330 235 NO ESPECIFICADO - - - - -

NOD1SPONLN E ENERGIA LLECTRICA 9 750 274 1 308 82 67 7 631 368

0ISPO(N IE AGUA ENTUbADA 3 389 143 1 199 45 71 1 819 112 0ENTRO DE LA VIVIENLA £ 932 109 786 21 43 943 30 NO Lk LA VIVE1(A PERO 51 EN EL EDIFICIO 1 079 10 367 1* 18 627 43 NO EN LA VIVIENDAPLRO SI LLAVE PUBLICA 378 29 46 10 10 249 39 NO W 0SPONENDE AGUA 6 361 131 109 37 16 5 812 256 N0 ESPECIFICADO

99 Ocupantes do viviondas particulares por municipio, disponibilidad do energia electrica y agua entubada en la vivienda, segun disponibilidad y tipo de drenaje CUADR023 en la vivienda conors

CONTUIERIA DEOAENAJE

TOTAL 01 SIN NO MUNICIPIO.OISPONIIILIOAO f EENERGIA OCUPANTESEN CONECTADA CONECTADA QUE OESA. NO TUDERIA ESPECI. ELECTRICAY AGUA LNTUBADA VIVIENDAS A FOSA AL OAENAJI GUAAL ESPECI. DE ORENAE FICADA PARTICULARESSEPTICA PUGtICO SUELO FICADO

NO ESPECIFICA ENERGIA ELECTaICA i56 44 - 19 134 917

DISPONEk DE AGUA ENIU6ACA 631 3S %C6 - 19 69 102 0ENTRO DE LA VIVIEN0A 56 35 379 - 19 41 92 NO EN LA VIVIENOA PLR0 S EN EL EDIFICIO 40 - 12 - - 18 10 NO EN LA VIVIENOA PLRO S1 LLAvE PUBLICA 2- 15 - 10 - NO OISPONEk DE AGuA fll 21 42 - - 65 283 NO LsPECIFICAO0 532 . - - - - 532 COMALA 15 798 975 4 179 257 262 9 33S 790

DISPONEN DE AGUA ENTUbAOA 12 509 931 N 058 I 251 250 6 469 S30 CENTRO DE LA IVIlENLA 10 382 812 3 734 233 23S N 996 | N? NO EN LA VISIENDA PERO SI EN EL EDIFICIO 1 589 72 93 9 7 1 229 ! 17 NO EN LA VIVIEvDA PLR0 SI LLAVE PUBLICA 5%3 17 231 9 8 26 14 NO UISPONEN CE AGUA 3 227 44 121 6 12 2 86 196 NO ESPECIFICAO0 62 - - - - 62

DISPONES DE ENERGIA CLELTRICA 10 783 831 3 981 241 237 $ 05$ 438

DISPONEN DE AGUA ENTUbADA 9 542 799 3 $98 235 225 4 02$ 365 OENTR3 DE LA VIVIENbA 8 212 732 3 6294 217 216 3 180 243 NO EN LA VIVIENDA PLRO SI EN EL EDIFICIO 947 45 89 9 1 681| 116 NO El LA VIVIENDA PLRO SI LLAVE PUBLICA 383 17 9 a 1 b856 NO DISPOSES DE AGUA 1 241 37 13 6 12 1 03 73 NO ESPECIFICADO - - - - -

NO OISPONEN DE ENERGIA ELECTRICA 9 801 131 184 16 25 4 200 2%5

ISPOsEN 0E AGUA ENTUbADA 2 873 124 146 16 2S 2 %13 149 DENDRO CC LA VIV1ENbA 2 098 102 96 16 19 1 782 63 NO EN LA VIVIENDA PLPO SI EN EL EDIFICIO 619 22 4 - 6 $29 $8 NO EN LA VIVIENOA PERO SI LLAVE PUBLICA 156 - 46 - - 102 8 NO DISPONEN DE AGUA 1 926 7 38 - - 1 787 96 NO ESPECIFICA0O - - - -

SO ESPECIFICA ENERGIA ELECTRICA 214 13 14 - 80 107

DISPOSEN OE AGUA ENTUbADA 94 13 14 - - 51 16 DENTRODE LA VIVIENA 72 6 14 - - 34 16 NO EN LA VIVIENDA PRO SI EN EL ECIFICIO 18 5 - - - 13 - NO EN LA VIVIENDA PERU SI LLAVE PUBLICA 4 - - - -- NO UISPONEN DE AGUA s8 - - - - 29 29 NO ESPECIFICAOO 62 - - - - 62 COOUIMATLAN 13 921 803 3 757 210 317 8 %53 381

DISPOSEN OE AGUA ENTUbADA 12 106 766 3 681 210 314 6 880 25S CENTRO DE LA vIVIENA 10 3C 647 3 44 182 305 $ 50 226 NO EN LA VIVIENDA PLR0 SI EN EL EGIFICIO 1 292 73 163 15 - 1 012 29 NO EN LA VIVIENA PERO SI LLAVE PUBLICA 506 46 74 13 9 364 - NO UISPONEN 0E AGUA 1 785 37 76 - 3 1 573 96 NO ESPECIFICAQO 30 - - - - - 3D

DISPONEN DE ENERGIA ELELTRICA 10 P09 734 3 535 206 293 5 783 258

DISPONEN DE AGUA ENIUbACA 10 103 701 3 468 206 290 $ 219 219 DENTRODE LA VIVIENA 8 781 611 3 263 178 281 4 256 192 NO EN LA VIVIENDA PLRO SI EN EL EDIFICIO 971 63 131 15 - 735 27 NO CN LA VIVIENOA PERO S LLAVE PJPLICA 3SI 27 74 13 9 228 - NO DISPONES DE AGUA 706 33 67 - 3 56 39 No ESPECIFICADO - - - -

NO DISPONEN DL ENERGIA LLLCTRICA 2 914 S6 210 4 - 2 58$ 59

DISPONES DEAGUA ENTUbAOA 1 865 52 201 4 1 577 31 CENTRO DE LA VIVIENUA IN1hs 23 175 4 - 1 174 29 NU EN LA VIVIENDA PERO SI EN EL EDIFICIO 315 10 26 - - 277 2 NO EN LA VIVIENA PERO SI LLAVE PUBLICA 145 19 - - 126 - NO CISPOkEN DE AGUA 1 099 4 9 - - 1 009 28 NO ESPECIFICAO - - -

NO ESPECIFICA ENERGIA ELECTRICA 198 13 12 - 24 85 64

015PONEN DE AGUA ENTUbA1A 138 3 12 - 29 84 5 DENTRO DE LA VIVIENDA 122 13 6 - 2% 74 5 NO EN LA VIVIENDA PLR0 SI EN EL EOIFICIO 6 - 6 - - - NO EN LA VIVIENDA P1R S1 LLAVE PUEL ICA 10 - - - - 10 - NO DISPONEN DE AGUA 30 - - - 1 29 NO ESPECIFILAQO 30 - - - 30 CUAUHTEMOC 22 Q37 1 665 10 676 766 763 7 545 592

DISPONEN IE AGUA EkTUbAQA 19 634 1 ,20 10 205 703 716 6 056I 334 DNTRO DE LA VIVIENvA 17 4G7 1 509 9 ,4'2 631 656 4 903 1 276 No EN-LA VI IENLA 1960 SI EN EL EJDF!C0O 1 415 85 480 46 47 740 17 NO EN LA VIvIENDA PL0 51 LLAVE PU2LICA 812 26 283 26 23 913 91 NO LISPCNEN DE AGUA 2 223 45 63 47 1 :89 10% NO LSPECIFICADO I50 ---

DISPONEN DE ENERGIA ELEC11ICA 19 411 1 561 10 298 705 726 5 840 281

DISPONEN DE AGUA ENTUbAUA 17 915 1 5221 9 ai7 665 688 9 959 2314 DENTRO DE LA vIVIE4LA 16 056 9%35 1 9 136 593 633 4 073 186 NO L4 LA JIVIENDA PL0 ST EN EL E3IFICIO 1 179 68 436 46 Is 577 7 NU1N LA VIVIENUA PLR0 SI LLAAE PUBLICA 680 19 275 26 10 309 4l SQ WISPONEN Dt AGUA 1 496 39 451 40 38 881 7 NO LSPECIFICAGO - - -- -

100 Ocupantes de viviendas particulares por municipio, disponibilidad de energia electrica y agua entubada en Ia vivienda, segun disponibilidad y tipo de drenaje CUADRO23 en Ia vivienda comntmacs6n

CONTUSE RIA CE ORENAJE

TOTAt. DE SIN N MUNICIPO. DISPONIILI0AD DEENERGIA OCUPANTESEN CONECTADA CONECTADA OUE DESA. NO TUBERIA ESPECI. ELECTRICAY AGUA ENTUBAOA VIVIENOAS A FOSA AL DRENAJE GUAAL ESPECI. Of DRENAJE FICADA PARTICULARESSEPTICA PUBLICO SUELO FICA00

NO OI$POEN OEENERIAI LLEC1RICA 2 223 85 306 56 37 1 652 47 OISPONEN DE AGUA ENlUbAOA I 573 as 266 33 26 1 070 69 CENTRO CE LA VIVIENkLA 1 232 63 242 33 13 822 59 NO EN LA VIVIENUA PERO SI EN EL EDIFICIO 217 15 36 - 2 154 10 NO LN LA vlVILNOA PERO SA LLAVE PUBLICA 122 7 a - 13 94 - 90 OISPONEN DE AGUA 452 - 20 23 9 582 i1 NO ESPECIFICAOO - - - - -1 -

NO ESPCCIFICA ENERGIA ELEC1RICA 373 19 72 S - 53 224

DISPONEN DE AGUA ENTU8ADA 148 13 72 5 - 27 31 DE1RO OE LA VIVIENUA 119 11 66 5 - 31 NO EN LA VIVILNCA PEPO SI EN EL EDIFICIO 19 z - - 9 NO EN LA VIVILNOA PLRO SI LLAVE PJ8LICA 10 - - -- NO UISPONEN DE AGUA 7S 6 - - - 2* 93 NO LSPECIFICADO 150 - - - - - 150

IXT.AHUACAN 4 77S 120 651 33 96 3 635 238

DISPONEN Of AQUA ENTUbADA 3 354 120 628 19 93 2 33S 163 CENIRO DE LA VIVIEN A 2 738 109 590 19 93 1 785 142 NO EN LA VIVIENDA PERO $1 EN EL EOIFICIO 491 11 is - - 441 21 NO EN LA VIVIENDA PLRO S LLAVE PUBLICA 129 - 20 - - 109 - NO DISPONEN DE AGUA 1 369 - 23 19 S 1 300 27 NO ESPECIFICAOO 48 - - - - 46

OISPONEN DE ENERSIA LELTRICA 2 709 93 566 24 73 1 648 103

C1SPONEN OE ACUA ENTUbADA 2 321 93 591 15 73 1 490 103 DENIRO DE LA VIVIENIA 1 990 93 511 15 73 1 212 $6 NO EN LA VIVIENOA PLRO SI EN EL EOIFICIO 255 - 16 - - 222 17 NO EN LA VIVIENOA PERO 51 LLAVE PUBLICA 16 - 20 - -- NO OISPONE OE AGUA 366 - 21 9 - 35* - NO ESPECIFCADO ------

NO DISPONEN DE ENERGIA iLEC7RICA 1 965 21 75 9 25 1 773 62

DISPONEN DE AGUA ENTUbAOA 996 21 13 4 20 631 4 0ENTRODELA VIVIENUA 707 10 71 4 20 559 43 NO EN LA VIVIENDA PLR0 51 EN EL EOIFICIO 236 11 2 - - 219 4 No EN LA VIVIENDA PER0 SI LLAVE PUBLICA 53 - - - - 53 - NO OISPONEN OE AGUA 969 - 2 5 5 942 is NO ESPECIFICAO0 - - - -

NO ESPECIFICA ENERGIA ELECTRICA 101 6 8 - - 14 73

DISPONEN DE AGUA ENTU6AOA %1 6 6 - - 14 13 OENIRO DE LA VIvIENDA 41 6 a - - 19 13 No EN LA vIVIENOA PERO SI EN EL EDIFICIO ------NO EN LA VIVIENDA PERO S LLAVE PUSLICA - - - - - NO DISPONEN DE AGUA 12 - - - - - 12 NO ESPECIFICADO %a - - - - - 46

MANZANILLO 71 941 13 926 20 616 2 059 1 335 31 499 2 509

DISPONEN DE AGUA ENTU6ADA 57 957 12 691 19 637 1 693 1 119 21 969 83 CENTRO DE LA VIVIENLA 42 069 9 831 17 225 1 142 980 12 333 558 NO EN LA VIVIENDA PERO SI EN EL EDIFICIO 13 091 2 490 1 932 492 97 7 14 3 247 NO EN LA VIVIENDA PERO S LLAVE PUBLICA 2 797 330 480 59 37 1 1 613 7 NO UISPONEN OE AGUA 13 060 1 261 979 361 221 9 510 702 NO ESPECIFICAOO 924 - - -- - 924

OISPONEN DE ENERGIA ELECTRICA 61 445 13 462 20 111 1 $&1 1 285 23 665 1 041

DISPONEN OE AGUA ENTU6AOA 53 261 12 260 19 199 1 616 1 072 1 361 713 OENTRO DE LA VIVIENUA 39 779 9 617 16 939 1 06 956 10 736 4950 N0 EN LA VIVIENDA PERO SI EN EL EDIFICIO 11 261 2 313 1 800 478 7 - 6 326 203 NO EN LA VIVIENOA PERO SI LLAVE PUBLICA 2 221 290 465 52 37 1 317 60 NO DISPONEN DE AGUA 6 169 1 142 912 265 213 5 284 326 NO ESPECJFICAOO - i - - - - NO DISPONEN DE ENERGIA ELECTRICA a 915 364 350 164 0 7 671 326

DISPONEN OE AGUA ENTUbADA 4 257 264 306 68 32 3 488 .99 CENTRO OE LA VIVIENUA 1 953 141 161 56 1 1 533 4 NO EN LA VIVIENOA PERO SI EN EL EDIFICI0 1 763 63 130 12 18 1 979 91 NO EN LA VIvIENUA PERO SI LLAVE PUBLICA Sei 90 15 -- 76 10 NO DISPONEN OE AGUA 9653 100 44 96 a 4 163 227 No ESPECIFICADO ------

No ESPECIFICA ENERGIA ELECTRICA 1 581 102 155 9 10 163 1 142

DISPONEN DE AQUA ENTUALA %39 97 132 9 10 120 71 OENTRODE LA VIVIENuA 337 73 130 - 10 64 60 NO EN LA VIVIENDA PbO0 51 EN EL EIFICO24 2 2 - 36 3 N0 EN LA VIVIENCA PLQO 51 LLAVE PUBLICA 35 - - 7 - 20 a NODISPONEN DE AGUA 219 S 23 - 43 147 NO ESPECIFICADO 924- - - - 929

MINATITLAN 6 163 196 2 199 90 141 4 083 106

OISPONEN DE AGUA ENTubA0A 4 e69 140 2 ISO 67 140 2 406 31 OENTRODE LA VIVIENLA 3 931 126 2 015 62 103 1 615 10 NO EN LA VIVILNDA PtO SI EN EL EDIFICIO 927 12 155 5 27 707 21 NOEN LA VIVIENOA PLRO SI LLAVE PUBLICA 106 2 10 - 10 84 - NO DISPONEN DE AGUA 1 765 6 19 23 1 1 677 39 NO ESPECIFICAO0 36 - - - - 36

101 Ocupantes do viviendas particulares por municiio. disponibilidad do onergia electrica y agua entutada en Ia vivienda, segun disponibilidad y tipo do drenape AOO 23 en Is vivienda

CONTVuRIna Of Ot MAJE TOTALOOf six r MUsICWI0.OMlFPissuOAD Of EMERGIA OCUPANTSEN CONECADA COM&CTAOAQUE OESA- 040 TUSERIA ESPICI. ELECTIWCAV AGUAETUSADA VIvYENOAS A FOSA At QAEMAJE GUA AL CIPECt. DC 4 AAJi FICAOA PAallCULARs SEPIICA P7sICO SJELO FICA0

0$5pGrc'0E E1E61sA CLEC7RICA 3 '5 131 2 146 66 12S 1 9s4 23

otsPO'4I OEA6UA EU.AOA 65s: 131 2 1'4 57 124 1 17 I CIMINOOE LA tvIEm.A 3 012 117 2 009 12 96 796 - 40E0 LA vvICoa PEe0 St EM Et E3FICIO530 212 30 S 1 347 is '10 EM LA VIICNoAPEO 5I LLAVC PusLICA 4 2 10 - 10 27 - 0 0ISP0mcEN of AGUA 314 - 1? 9 1 262 S M0ESPECIFICAOO - - - N0 DISPONIEN 01 ENr61A ELECTICA 2 719 35 27 to 16 2 61; 2S

OISP04C4 Of AGu' E1UbAOA 3 26 9 27 10 16 1 22 3 DE%!RGOf LA VIVIEN4A 461 9 2 10 7 &13 - N0 Ell LA VWVIENOAPER0 SI EN EL CDIFICIO 390 - 2$ ' - 9 3S3 3 40 ENLA v1VIEA PC** S1 LLAvC PuOLICA 57 - - - 57 - 40DIsPOMiN OL A6uA 1 431 6 - - 1 3 22 :M0 EsPECIrCAo0 - - 40ESPECIFICA ENERSIA ELECTRICA 63 -6 6 60

DISPOMEM OE AQUA CNTUsAOA 25 - - CENTROOC LA VIVICLA 1- 4 to 4NO INLA 3191.ENOA PERO S0 EftCL ECIfICIO y- - '40 ElLA VIVIE60A PERO SI LLAVC PuSLICA - - 04 - 20 2 - i 40 ESPCCIFICAOODISPON DE A UA 33 - -3 TECOMAN 66 543 6 347 24 &7 1 135 1Sal 31 Got 1 730

-ISPOWEf oE ASUA EN$U*AlA so 335 - 946 23 966 1 9S2 I 466 26 272 711 OCENTRO 0E LA VIVIENIA 47 070 q 46 21 276 76$ 3 316 1 775 446 NO EN LA VIVIENA PLOO St EN EL EDIPCIO 9 610 1 21 2 040 114 336 6 054 248 NOEN LA VIVIEN0A Pt#0 SI LLAWE PuSLICA 2 411 224 650 53 30 1 443 Is 40 OISPOn~ 0E AGUA 6 711 19 709 143? 101 4 777 S22 MO ESPCCIFICAOO 49? - - -| - - '97 0I5PonM DEEMERGIA ELEC4TRICA s4 446 5 6*5 23 222 663 1 439 22 594 699 0ISPONC 0E AQUA ENTUbAOA 50 999 ;4S 72 4610 742 1 363 20 421 si3 DENING0ELA VIVIENDA 41 k56 , 077 20 317 6o0 1 224 14 69 361 NO EN LA VIVIEN0A PLR0 S1 C EL ECOFICIO 7 596 1 1 Oat 1 707 46 1s 4 452 155 NOEl LA VIVIINOA PER* S1 LLAvE PUBLICA 1 947 ;87 56 46 24 I 100 2 40DISPONEN DE A6UA 3 467 320 1 612 121 76 2 17? 161 NOESPECIFICAGO - -- - No I5PONENE 0EENERGIA ELEC7RICA 10 780 647 1 290 267 113 a 231 232

OISPOMEm OEAQUA ENTUbAOA 7 '71 567 1 204 20 Zoo 10 679 116 OENTR0 DELA VIvIENCIA 5 296 ;5 329 177 73 3 AGO b41 14oEN LA VIVIENGA PE9O SI EN EL COIFICIO 2 12 i 72 320 23 23 1 545 42 NoEN LA VIvIEN0A PERO SI LLAVE PUSLICA . eg 37 55 S 4 334 13 NODISPONEN IE AGUA 2 909 &a 16 62 13 2 552 116 40ESPECIFICAGO - -- - - 40ESPECIFICA EMERGIA ELEC7ICA 1 277 55 163 S 35 220 799 OISPONENDEAQUA CNIUAOA 465 36 152 1 23 172 77 0ENTRO OE LA VIVIEMLA 316 33 130 - 21 106 26 40 EN LA VIVIENOA "C'C SI El EL EOIFICIO 129 3 13 PE 57 SI 40 ENLA VIVIENOA PERO SI LLAVE 'JuLICA 20 - 9 -2 9 - 40OISPOMEN CE AQUA 31S 19 . - 12 8 225 10 :SPECFICA 9 - - - - 7

VILLA DE ALVAREZ 19 471 1 41 763 277 632 7 '26 53U

DISPONEN IE AGUA ENTU*AOA 12 8*6 146 7 371 192 436 3 $66 107 0ENTR0 3 LA 4IYIEMkoA 10 A34 701 6 657 145 452 2 776 61 NOEN LA VIVIENOA *ERO S1 EM EL EDIFICIO 1 025 70 247 7 23 631 46 N0 EN4LA AvvEN0APER0 SI LLAVE PUBLICA 1 006 75 . 7 153 '0 OIS01PONCuE AGUA 6 466 570 1 412 14 3 962 311 N0 ESPECIFICA00 17

OISPONEN0E CNCR6IA ELETRICA 16 396 1 277 a -450 256 584 5 552 1 27 015PONEmIC AGUA ENhuUADA 1i 463 747 7 134 178 449 2 675 7S 0EN1RO1 E LA VIVIE4GA 9 649 630 f 6 '42 171 '415 2 187 44 NO ENLA VIVIENQA 0E70SI ENCL E3IFICIO 7%3 42 236 23 401 36 NO ENLA VIVIENOAPL3R. SI LLAVE PALICA 629 75 456 - 11 267 - NOOISPONEN DEAGuA 4 935 530 1 316 80 135 2 77 197 NOESPECIFICADO - - - -

NOIISPOIMt C ENERGIA ELECRICA 2 775 11 273 19 46 2 209 110

01SP'oCENC A6UA ENIUbADA I 305 76 190 14 35 969 19 0EN1ROELA WIVILMA 1 73 61 169 14 3i 17 7 NOE4 LA VIVIENOA OLO SI Em EL EJrF!LIO 273 17 10 - - 234 12 NOEM LA 1VIENOA '00 51 LLAVE PuALICA 119 - 11 - 12s NO ulISPONCD AGUA 1 1 70 40 Al 11 1 240 91 - NOESPCCIFICAOO

NoESPCCIFICA ENERGIA ELECIR!CA 300 21 60 - 2 67 I50

DISPOCM CE AGuA ETUeAOA 102 21 47 2 22 10 0ENIR oE LA IVIE4NUA 72 10 46 - 2 4 10 MOEli LA VIVIENDA PLA.L 1 CM EL CIF ICIO 12 11 - - No E N LA Viv1 E4O A PL RG 1 LL AWE PU L ICA 1 i - - - 40 JISPuIEh OL AGUA 63 - - -1 23 40ESPECIFICACO 17 - - - - 117.

102