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Costa Rica

National Institute of Statistics and Censuses Department of Continuous Statistics Demographic Statistics Unit

2010 Death Register

Study Documentation

July 28, 2015 Metadata Production

Metadata Producer(s) Olga Martha Araya Umaña (OMAU), INEC, Demographic Statistics Unit Coordinator Production Date July 28, 2012 Version Identification CRI-INEC-DEF 2010 Table of Contents

Overview...... 4 Scope & Coverage...... 4 Producers & Sponsors...... 5 Data Collection...... 5 Data Processing & Appraisal...... 6 Accessibility...... 7 Rights & Disclaimer...... 8 Files Description...... 9 Deaths 2010...... 9 Variables List...... 10 Deaths 2010...... 10 Variables Description...... 12 Deaths 2010...... 13 Death register 2010 - Overview

Death Register 2010 (DEF 2010)

Overview Type Administrative registers Identification CRI-DEF-2010 Series The registration of death statistics was, at its origin, a duty performed independently by ecclesiastical authorities, who registered baptisms, deaths and marriages. The first registers date back to 1594.

The flow of information is continuously undergoing coordination advancements to improve the exchange of information between this institution’s Demographic Statistics Unit and the Ministry of Health, the Supreme Electoral Body and the Costa Rican Social Security Administration.

Abstract In , the gathering and compiling of death statistics is the duty of the Demographic Statistics Unit, which – in turn – forms part of the Department of Continuous Statistics of the National Institute of Statistics and Censuses (INEC by its acronym in Spanish).

Death statistics arise from the data systematically collected from death certificates, whose registration is the duty of the Civil Register of Costa Rica. It is here that the vital statistics and legal acts concerning marital statuses are registered. To this end, a three-part form has been put into effect, which the auxiliary registrar must duly fill in.

The vital statistics currently processed by the INEC are: births, deaths, fetal deaths, and marriages.

The data are used both nationally and internationally.

Due to the fact that we, as a country, historically fall behind on death statistics, all the deaths that have occurred over the last 10 years are included, for operational purposes, in a given year’s statistics, including those that occurred during the calendar year for which the statistics are being compiled. In this way, in 2010, all the deaths that occurred from 2001 to 2010, but were registered in the year 2010, were included.

It has been demonstrated that these historical inconsistencies are compensated, year after year, on the following year; therefore, it is expected that what was not registered in 2010 will be included in the 2011 registers, and this data will be approximately equal to what was not registered in 2009 but was included in the 2010 registers, and so on for all the other years.

Late registrations are published obeying the year in which the death occurred.

Kind of Data Administrative registers (adm) Unit of Analysis Deaths occurring and/or registered in 2010.

Scope & Coverage

Scope Personal data of the deceased: name, nationality, sex, last marital status, age, date of death and primary residence.

Cause of death: this variable is composed of 4 subsections, divided into two parts. The first part determines the immediate causes preceding the death. The second part investigates into other causes that contributed to the death, but were NOT directly related to the sickness or condition that led to it. The cause recorded by INEC is denominated the “basic cause.” - 4 - Death register 2010 - Overview

Place and date of death: refers to the geographic location where the death occurred, taking into account the province, canton and district. Also registered is the day, month and year of the death. Keywords Death, Cause, Autopsy, Assistance, Occurrence, , Residence Topics Accidents and damages [8.1], Medication, drug, alcohol or tobacco abuse. [8.3], Youth [12.10], Children [12.1], Senior citizens [12.2], Mortality and morbidity [14.4], Cause of death

Time Period(s) 2010 Countries Costa Rica Geographic Coverage Province Canton District Urban Rural Regionalization of the INEC Regionalization of the Ministry of Health Universe All the deaths that occurred and were registered nationwide in 2010.

Producers & Sponsors

Primary National Institute of Statistics and Censuses Investigator(s) Department of Continuous Statistics Demographic Statistics Unit

Other Producer(s) Supreme Electoral Body (TSE by its acronym in Spanish); Government, Primary source of information; Ministry of Health (MS by its acronym in Spanish); Government , Quality control; Costa Rican Social Security Administration (CCSS by its acronym in Spanish); Government, Quality Control Funding Agency/ies Ministry of Finance, Public sector budget

Data Collection Data Collection Dates Annual: start 01-01-2010 Annual: end 12-31-2010 Time Period(s) Annual: start 01-01-2010 Annual: end 12-31-2010 Data Collection Mode Administrative registers

- 5 - Data Collection Notes The auxiliary registrars responsible for death declarations are employees of the health centers in which the deaths occurred. To this end, a three-part form has been put into effect, which these officials must fill out according to the instructions written for each one of the spaces comprising the death certificate. Those deaths that did not occur in a hospital center are registered in the offices of the Civil Register, or in the institutions responsible for providing the burial service.

The original is sent to the Registration Department of the Civil Register; the first copy of the certificate is for the INEC, the second is for the relatives of the deceased.

Once a week, personnel from the unit go to the central offices of the Civil Register to gather all the certificates that have been sent by the registrars during the previous week, and proceed to classify them by month and province.

Registers are kept during this archiving process, with a list of all the institutions authorized to draft birth certificates, in order to mitigate and control monthly recording omissions.

Once the registers are organized and classified by province and month, a manual count is performed to quantify the volume and distribution of the death certificates that need to be registered the following week.

Once the registers are organized and counted, the consistency checking and data encoding stage begins. Codes already established by international manuals and directives are used.

After the consistency checking and data encoding stage is finalized, the data entry stage begins. This stage commences with the manual numbering of the certificates; once they are numbered, the data is entered into a program developed with Visual Basic 6 and Visual Studio .NET programming languages, that – in turn – records said data in a database in SQL Server 2008. Questionnaires A death certificate is an official declaration by which the Civil Register of Costa Rica registers the death of each person who dies on Costa Rican soil, regardless of whether the deceased is a Costa Rican citizen or a foreigner.

A death certificate is considered a legal document, and is used for legal and demographic purposes. It is subdivided into six modules.

The information that it contains is subdivided in the following manner:

Personal information of the deceased Cause of death Place and date of death Date of declaration Data Collector(s) Registrars and Auxiliary Registrars of the Supreme Electoral Body (TSE) Registrars and Auxiliary Registrars of Hospitals and Hospital Institutions Registrars and Auxiliary Registrars of the Civil Guard and the Ministry of Public Safety Supervision Direct supervision is not required, neither by the Supreme Electoral Body (TSE) nor by the INEC, and is only performed telephonically for cases in which this resource is applicable.

The external institutions that collaborate with the data collection, however, assist in guaranteeing the precision and rigor of this process. These external institutions include the Ministry of Health, the Costa Rican Social Security Administration and the Supreme Electoral Body.

- 6 - Death register 2010 - Overview

Data Processing & Appraisal

Data Editing Data organization and preparation is divided into the following stages:

1. Consistency checking and data encoding.

2. Data entry.

3. Data appraisal through consistency-checking software.

4. Manual data appraisal.

5. Control tabulation.

6. Tabulation for Information Center use.

7. Publications.

A detailed description of each stage can be read in the document entitled, “Consistency Checking and Data Encoding Manual,” located in the Reference Materials archive.

Other Processing Data organization and preparation is divided into the following stages:

1. Document reception.

2. Document organization.

3. Certificate count.

A detailed description of each stage is included in the document titled, “Consistency Checking and Data Encoding Manual,” located in the Reference Materials folder.

Estimates of Sampling Error Given that what has been documented are statistics obtained from administrative registers, this section describes – in detail – several activities that are undertaken to ensure data quality.

Variable cross-checks are performed in order to identify whether or not there is a direct relationship between two or more variables. This is of special importance as even variables within the permissible range can result in inconsistencies once they are cross-checked against other variables.

Furthermore, data coherence is analyzed with the help of reports from the Ministry of Health. These reports pertain to important events related to birth certificates, such as reports of child, fetal and maternal deaths.

Other Forms of Data Appraisal Death certificates have two separate methods for data appraisal.

1) During the Consistency Checking process, information from the Supreme Electoral Body’s institutional website is reviewed. With this information several variables can be verified, some of the most important being a person’s identification number (which is very useful for internal controls, although it used by the INEC), and marital status, among others.

2) Through the matching of child death certificates, which allow for stillbirths to be identified.

- 7 - Death register 2010 - Overview

Accessibility Access Authority National Institute of Statistics and Censuses (Demographic Statistics Unit) , http:// www.inec.go.cr , [email protected] Contact(s) Marlene Sandoval (Information Center, INEC) , www.inec.go.cr , [email protected] Olga Martha Araya Umaña (Demographic Statistics Unit, INEC) , www.inec.go.cr , [email protected] Access Conditions Through agreements with academic institutions, the Central Government, or the direct purchase of anonymous databases. For more information, please see our page at: www.inec.go.cr or call us at 22 80 92 80, extensions 325, 326, 327. Citation Requirements When mentioning the methodological information and the publication or divulgation of the results obtained from the information in the present document, the National Institute of Statistics and Censuses should be cited as the primary source.

Rights & Disclaimer Disclaimer According to article 4 of Act 7839 of the Creation of the National Statistics System, which states the following:

Article 4 – “The departments and entities comprising the SEN will collect, handle and share data for statistical purposes, in accordance with statistical confidentiality, transparency, specialty and proportionality principles..."

...The INEC may produce separate data over the different products generated by the SEN, provided that it then proceeds to block the identification registers defined in the corresponding documents, electronic archives, administrative registers, and any other means.

The INEC is not responsible for the use of the produced statistical information, nor any studies or conclusions that are derived from the same, with the exception of joint projects in which the INEC has been proven to have had direct participation in the study.

Copyright The methodological information and the databases information here documented is the property of the National Institute of Statistics and Censuses (INEC).

- 8 - Death register 2010 - Files Description

Files Description

Dataset contains 1 file(s)

Deaths 2010 # Cases 19077 # Variable(s) 38 File Content This file contains information regarding the deaths that occurred and were registered in 2010. Producer The National Institute of Statistics and Censuses. Demographic Statistics Unit. Olga Martha Araya Umaña, Coordinator. Version Final data. Notes The tenth edition of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) is used for Cause of Death encoding.

- 9 - Death register 2010 - Variables List

Variables List

Dataset contains 38 variable(s)

File: Deaths 2010

# Name Label Type Format Valid Invalid Question 1 anotrab Year of registration discrete numeric-4.0 19077 0 There is no question specifically assigned to this variable in the questionnaire. 2 mestrab Month of registration discrete numeric-2.0 19077 0 There is no question specifically assigned to this variable in the questionnaire. 3 nacionalid Nationality discrete numeric-3.0 19063 14 2.a. Nationality 4 sexo Sex discrete numeric-1.0 19077 0 3. Sex 5 estcivil Last marital status discrete numeric-1.0 19077 0 4. Last marital status 6 edad Age discrete numeric-2.0 19077 0 5. Age 7 codigo Age code discrete numeric-1.0 19066 11 5.Age 8 edads Age in years discrete numeric-3.0 19066 11 There is no question specifically assigned to this variable in the questionnaire. 9 edadsrec Age in five-year intervals discrete numeric-2.0 19077 0 Does not have an assigned question in the form because it is a recoded variable. 10 provincia Province of residence discrete numeric-1.0 19077 0 6. Primary residence, province 11 pc Canton of residence continuous numeric-3.0 19077 0 6. Primary residence, canton 12 pcd District of residence continuous numeric-5.0 19077 0 6. Primary residence, district 13 zona Zone discrete numeric-1.0 19077 0 There is no question specifically assigned to this variable in the questionnaire. 14 causamuer Cause of death discrete character-4 19077 0 7a. Causes of death. Direct or immediate cause 15 autopsia Performance of autopsy discrete numeric-1.0 19077 0 7c. Autopsy 16 asistmed Medical attention discrete numeric-1.0 19077 0 7d. Medical attention for that/those disease(s) 17 instmurio Place of death discrete numeric-3.0 19008 69 8. Died in

18 provocu Province of death discrete numeric-1.0 19077 0 9. Place of death, province 19 pcocu Canton of death continuous numeric-3.0 19077 0 9. Place of death, canton 20 pcdocu District of death continuous numeric-5.0 19077 0 9. Place of death, district 21 diadef Day of death discrete numeric-2.0 19077 0 10. Date of death, day 22 mesdef Month of death discrete numeric-2.0 19077 0 10. Date of death, month 23 anodef Year of death discrete numeric-4.0 19077 0 10. Date of death, year 24 ocupacion Last occupation continuous numeric-2.0 19077 0 11) Occupation: 25 ocuparec Last occupation in groups discrete numeric-2.0 19077 0 There is no question specifically assigned to this variable in the questionnaire.

- 10 - # Name Label Type Format Valid Invalid Question 26 mesemb Months of pregnancy of the discrete numeric-1.0 81 18996 8. Number of months of pregnancy. mother for deaths of children less than 1 year old

27 nacmadre Nationality of the mother for discrete numeric-3.0 624 18453 14. Data about the mother, nationality deaths of children less than 1 year old 28 provregis Province of registration discrete numeric-1.0 19077 0 17. Province 29 pcregis Canton of registration continuous numeric-3.0 19077 0 17. Canton 30 pcdregis District of registration continuous numeric-5.0 19077 0 17. District 31 diadeclara Day of declaration discrete numeric-2.0 19077 0 18. Date of this declaration, day 32 mesdeclara Month of declaration discrete numeric-2.0 19077 0 18. Date of this declaration, month 33 anodeclara Year of declaration discrete numeric-4.0 19077 0 18. Date of this declaration, year 34 g17 Seventeen cause of discrete numeric-2.0 19077 0 There is no question specifically death groupings assigned to this variable in the questionnaire. 35 g62 Sixty-two cause of discrete numeric-2.0 19077 0 There is no question specifically death groupings assigned to this variable in the questionnaire. 36 reginec Regionalization of the INEC discrete numeric-1.0 19077 0 There is no question specifically assigned to this variable in the questionnaire. 37 regsalud Regionalization of the discrete numeric-1.0 19077 0 There is no question specifically Ministry of Health assigned to this variable in the questionnaire. 38 des_causa Description of the basic discrete character-204 19077 - There is no question specifically cause of death assigned to this variable in the questionnaire. Death register 2010 - Variables Description

- 11 - Variables Description

Dataset contains 38 variable(s)

# anotrab: Year of registration

Information [Type= discrete] [Format=numeric] [Range= 2010-2010] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the database’s calendar year.

Universe All the deaths that occurred and were registered nationwide in 2010.

Source Does not apply. This is a location variable.

Literal question There is no question specifically assigned to this variable in the questionnaire.

Please enter the year in 4-digit format, in accordance with the calendar year that is being Interviewer's instructions processed. Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 2010 19 077 100,0

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 12 - # mestrab: Month of registration

Information [Type= discrete] [Format=numeric] [Range= 1-12] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the calendar month in which the death was registered.

Universe All the deaths that occurred and were registered in 2010 Costa Rica.

Source Does not apply. This is a location variable.

Literal question There is no question specifically assigned to this variable in the questionnaire. Please enter the year in 4-digit format, in accordance with the calendar year that is being Interviewer's instructions processed. Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 1 January 1 663 8,7

2 February 1 468 7,7

3 March 1 574 8,3

4 April 1 533 8,0

5 May 1 603 8,4

6 June 1 557 8,2

7 July 1 566 8,2

8 August 1 724 9,0

9 September 1 569 8,2

10 October 1 617 8,5

11 November 1 567 8,2

12 December 1 636 8,6

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 13 - # nacionalid: Nationality

Information [Type= discrete] [Format=numeric] [Range= 0-999] [Missing=*/999]

Statistics [NW/ W] [Valid=19063 /-] [Invalid=14 /-]

Definition Refers to the nationality of the deceased, regardless of country of origin.

Universe All the deaths that occurred and were registered nationwide in 2010.

An informant is the direct source. The informant can be any blood relative and/or relative-in-law of Source the deceased.

Literal question 2.a. Nationality

If the deceased is of Costa Rican descent, this information should be encoded as 000. Otherwise, Interviewer's instructions the proper code will have to be located and retrieved from the list of countries created expressly for this purpose.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage

0 Costa Rica 17733 93,0 558 821 4,3 840 United States 186 1,0 591 Panama 52 0,3 170 Colombia 36 0,2 222 El Salvador 34 0,2 192 Cuba22 22 0,1 380 Italy 18 0,1 276 Germany 18 0,1 124 Canada 18 0,1 724 13 0,1 156 China 13 0,1 484 12 0,1 862 Venezuela 7 0,0 528 Holland, The Netherlands 7 0,0 340 Honduras 6 0,0 250 France 6 0,0 826 United Kingdom, Scotland 5 0,0 604 Peru 5 0,0 320 Guatemala 5 0,0 32 Argentina 5 0,0 756 Switzerland 4 0,0 152 Chile 4 0,0 388 Jamaica 3 0,0 376 Israel 3 0,0 214 Dominican Republic 3 0,0 56 Belgium 3 0,0 643 Russian Federation 2 0,0 616 Poland 2 0,0 218 Ecuador 2 0,0 keep going...

- 14 - Continuation of variable nationality

Value Label Cases Percentage 158 Taiwán 2 0,0 858 Uruguay 1 0,0 792 Turkey 1 0,0 642 Romania 1 0,0 630 Puerto Rico 1 0,0 600 Paraguay 1 0,0 308 Granada 1 0,0 144 Sri Lanka 1 0,0 100 Bulgaria 1 0,0 76 Brazil 1 0,0 70 Bosnia and Herzegovina 1 0,0 68 Bolivia 1 0,0 40 Austria 1 0,0 36 Australia 1 0,0 999 Unknown 14 0,1

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# sexo: Sex

Information [Type= discrete] [Format=numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the sex of the deceased.

Universe All the deaths that occurred and were registered nationwide in 2010. An informant is the direct source. The informant can be any blood relative and/or Source relative-in-law of the deceased.

Literal question 3. Sex

The only two possible answers for this question are male or female; please enter the code Interviewer's instructions according to the sex of the deceased. Please enter the code in 1-digit format Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 1 Hombres 10 909 57,2 2 Mujeres 8 168 42,8

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 15 - # estcivil: Last marital status

Information [Type= discrete] [Format=numeric] [Range= 0-9] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the last marital status of the deceased.

Universe All the deaths that occurred and were registered nationwide in 2010. An informant is the direct source. The informant can be any blood relative and/or Source relative-in-law of the deceased. Literal question 4. Last marital status

Please select only one status; if more than one is marked, remember that common-law Interviewer's instructions marriage has precedence over any other status.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 0 Minor 951 5,0 1 Single 4 528 23,7 2 Married 7 085 37,1 3 Widower/Widow 4 041 21,2 4 Divorced 913 4,8 5 Legally separated 179 0,9 6 Common-law marriage 1 154 6,0 9 Unknown 226 1,2

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of int e re s t .

- 16 - # edads: Age in years

Information [Type= discrete] [Format=numeric] [Range= 0-111] [Missing=*/999]

Statistics [NW/ W] [Valid=19066 /-] [Invalid=11 /-]

Refers to the age of the deceased in years, from 0 to 120 years. Due to the fact that this variable is measured in years, child deaths occurring before the 1-year mark are registered Definition under the category “0 years.” This variable is comprised of two other variables: “age” and “code.” Universe All the deaths that occurred and were registered nationwide in 2010.

Source Does not apply. This variable is obtained from the merger of two other variables.

Literal question There is no question specifically assigned to this variable in the questionnaire.

This variable is obtained from the merger of two other variables, “age” and “code”; the Interviewer's instructions result is the age of the decesaed in years.

Imputation No imputation required.

This variable is a combination of two other variables, “age” and “code.” The codes 1, 2, 3 and 4, which refer to the deaths of children less than 1 year old, are grouped together Recoding and Derivation under the category “0 years”. Codes 5 and 6 refer to persons who died between ages 1 and 120. Code 0, which refers to an unknown age, is recoded as “999.”

Security All public use variables are included in this database.

Value Label Cases Percentage 0 671 3,5 1 57 0,3 2 26 0,1 3 21 0,1 4 17 0,1 5 12 0,1 6 12 0,1 7 12 0,1 8 16 0,1 9 15 0,1 10 11 0,1 11 16 0,1 12 21 0,1 13 15 0,1 14 29 0,2 15 42 0,2 16 30 0,2 17 56 0,3 18 48 0,3 19 70 0,4 20 77 0,4 21 63 0,3 22 83 0,4 23 79 0,4 24 78 0,4 25 88 0,5 26 64 0,3 27 69 0,4

28 85 0,4 - 17 - 29 76 0,4 keep going...

Continuation of variable edads

Value Label Cases Percentage 30 83 0,4 31 98 0,5 32 75 0,4 33 96 0,5 34 70 0,4 35 85 0,4 36 102 0,5 37 86 0,5 38 96 0,5 39 80 0,4 40 112 0,6 41 98 0,5 42 105 0,6 43 107 0,6 44 140 0,7 45 124 0,6 46 107 0,6 47 152 0,8 48 155 0,8 49 175 0,9 50 191 1,0 51 190 1,0 52 189 1,0 53 177 0,9 54 198 1,0 55 210 1,1 56 209 1,1 57 231 1,2 58 261 1,4 59 212 1,1 60 234 1,2 61 258 1,4 62 249 1,3 63 236 1,2 64 274 1,4 65 309 1,6 66 274 1,4 67 277 1,5 68 289 1,5 69 304 1,6 70 330 1,7 71 355 1,9 72 335 1,8 73 345 1,8 74 376 2,0 - 18 - 75 389 2,0 keep going...

Continuation of variable edads

Value Label Cases Percentage 76 395 2,1 77 450 2,4 78 429 2,2 79 473 2,5 80 432 2,3 81 454 2,4 82 475 2,5 83 490 2,6 84 471 2,5 85 433 2,3 86 433 2,3 87 378 2,0 88 400 2,1 89 367 1,9 90 286 1,5 91 263 1,4 92 250 1,3 93 222 1,2 94 200 1,0 95 187 1,0 96 141 0,7 97 119 0,6 98 100 0,5 99 57 0,3 100 47 0,2 101 43 0,2 102 17 0,1 103 16 0,1 104 14 0,1 105 9 0,0 106 3 0,0 107 2 0,0 108 1 0,0 109 2 0,0 999 Unknown 11 0,1

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 19 - # edadsrec: Age in five-year intervals

Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the recoding, in five-year intervals, of the person’s age at the time of death.

Universe All the deaths that occurred and were registered nationwide in 2010.

Source Does not apply. This variable is obtained from other variables.

There is no question specifically assigned to this variable in the questionnaire due to the Literal question fact that it is obtained from other gathered variables.

Interviewer's instructions This variable is obtained by grouping the ages of the deceased into five-year intervals.

Imputation No imputation required.

Recoding and Derivation This variable is derived from another variable in this database: “edads” (Age in years).

Security All public use variables are included in this database.

Value Label Cases Percentage 0 Less than 1 year old 671 3,5 1 1 - 4 121 0,6 2 5 - 9 67 0,4 3 10 - 14 92 0,5 4 15 - 19 246 1,3 5 20 - 24 380 2,0 6 25 - 29 382 2,0 7 30 - 34 422 2,2 8 35 - 39 449 2,4 9 40 - 44 562 2,9 10 45 - 49 713 3,7 11 50 - 54 945 5,0 12 55 - 59 1 123 5,9 13 60 - 64 1 251 6,6 14 65 - 69 1 453 7,6 15 70 - 74 1 741 9,1 16 75 - 79 2 136 11,2 17 80 - 84 2 322 12,2 18 85 - 89 2 011 10,5 19 90 - 94 1 221 6,4 20 95 - 99 604 3,2 21 100 years or more 154 0,8 99 Unknown 11 0,1

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of int e re s t .

- 20 - # provincia: Province of residence

Information [Type= discrete] [Format=numeric] [Range= 1-7] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the province in which the deceased resided prior to death.

Universe All the deaths that occurred and were registered nationwide in 2010.

An informant is the direct source. The informant can be any blood relative and/or Source relative-in-law of the deceased. Literal question 6. Primary residence, province

Refers to the province in which the deceased resided prior to death. This data is recorded Interviewer's instructions in accordance with the Administrative Territorial Division manual. Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 1 San Jose 7 076 37,1 2 3 576 18,7 3 1 892 9,9 4 1 691 8,9 5 Guanacaste 1 553 8,1 6 1 841 9,7 7 Limon 1 448 7,6

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 21 - # pc: Canton of residence

Information [Type= continuous] [Format=numeric] [Range= 101-706] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the canton in which the deceased resided prior to death.

Universe All the deaths that occurred and were registered nationwide in 2010.

An informant is the direct source. The informant can be any blood relative and/or Source relative-in-law of the deceased.

Literal question 6. Primary residence, canton

Please assign this variable the code that it corresponds in accordance with the current Administrative Division of Territories (INEC’s Administrative Division of Territories Interviewer's instructions Manual – DTA as per its acronym in Spanish). This variable is comprised of a 1-digit number and a 2-digit number; the former being the province and the latter the canton of residence prior to death.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 101 San Jose 1 821 9,5 201 Alajuela 1 181 6,2 103 989 5,2 301 Cartago 640 3,4 119 Perez Zeledón 590 3,1 601 Puntarenas 585 3,1 108 584 3,1 210 554 2,9 401 Heredia 483 2,5 701 Limon 456 2,4 113 Tibas 443 2,3 702 Pococi 413 2,2 202 San Ramon 367 1,9 203 341 1,8 303 La Union 326 1,7 305 314 1,6 501 306 1,6 110 305 1,6 115 289 1,5 102 Escazu 288 1,5 503 Santa Cruz 286 1,5 118 284 1,5 111 Vasquez de Coronado 277 1,5 502 273 1,4 114 267 1,4 106 Aserri 215 1,1 403 Santo Domingo 205 1,1 607 204 1,1 703 202 1,1 610 186 1,0 - 22 - 307 183 1,0 keep going...

Continuation of variable pc

Value Label Cases Percentage 109 182 1,0 405 176 0,9 206 173 0,9 302 Paraiso 172 0,9 207 172 0,9 104 171 0,9 603 165 0,9 706 Guacimo 164 0,9 402 162 0,8 505 160 0,8 213 151 0,8 608 148 0,8 205 147 0,8 308 144 0,8 404 Santa Barbara 131 0,7 506 Cañas 128 0,7 602 126 0,7 410 Sarapiqui 125 0,7 705 124 0,6 605 122 0,6 606 Aguirre 113 0,6 208 Poas 112 0,6 409 111 0,6 408 109 0,6 209 100 0,5 407 Belen 97 0,5 107 96 0,5 406 92 0,5 504 91 0,5 704 89 0,5 507 86 0,5 112 84 0,4 510 78 0,4 214 77 0,4 212 Valverde Vega 76 0,4 611 70 0,4 105 Tarrazu 66 0,3 609 64 0,3 304 Jimenez 61 0,3 508 Tilaran 60 0,3 120 Leon Cortes 59 0,3 604 58 0,3 509 58 0,3 306 52 0,3 215 52 0,3 211 Alfaro Ruiz 50 0,3 117 45 0,2 511 27 0,1 204 23 0,1 116 21 0,1 - 23 -

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of int e re s t .

# pcd: District of residence

Information [Type= continuous] [Format=numeric] [Range= 10101-70605] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the district in which the deceased resided prior to death.

Universe All the deaths that occurred and were registered nationwide in 2010.

An informant is the direct source. The informant can be any blood relative and/or relative-in-law of Source the deceased.

Literal question 6. Primary residence, district

Please assign this variable the code that it corresponds in accordance with the current Administrative Division of Territories (INEC’s Administrative Division of Territories Manual – DTA Interviewer's instructions as per its acronym in Spanish). This variable is comprised of a 1-digit number and two 2-digit number; the 1-digit number being the province, the following 2-digit number being the canton, and the last 2-digit number being the district of residence prior to death.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage

20101 Alajuela 375 2,0 10109 359 1,9 70101 Limón 347 1,8 10110 297 1,6 50101 Liberia 272 1,4 10111 San Sebastián 256 1,3 11901 221 1,2 10301 Desamparados 219 1,1 10801 Guadalupe 216 1,1 11401 San Vicente 197 1,0 21001 Quesada 187 1,0 40103 San Francisco 182 1,0 10103 Hospital 173 0,9 20102 San José 171 0,9 11301 San Juan 169 0,9 11501 San Pedro 166 0,9 10302 San Miguel 161 0,8 11801 Curridabat 161 0,8 11903 Daniel Flores 150 0,8 50201 Nicoya 145 0,8 40101 Heredia 144 0,8 30501 Turrialba 139 0,7 50301 Santa Cruz 138 0,7 60108 Barranca 138 0,7 70201 Guápiles 137 0,7 70205 133 0,7 10601 Aserrí 131 0,7 30101 Oriental 130 0,7 10104 129 0,7 10107 128 0,7 70301 Siquirres 127 0,7 10805 Ipís 124 0,6 10105 122 0,6 - 24 - 20201 San Ramón 122 0,6 20301 Grecia 122 0,6 keep going...

Continuation of variable pcd

Value Label Cases Percentage

30701 San Rafael 119 0,6 10106 San Francisco de Dos Ríos 115 0,6 60112 Chacarita 114 0,6 10202 San Antonio 113 0,6 10807 111 0,6 20104 San Antonio 108 0,6 30301 Tres Ríos 107 0,6 11101 San Isidro 103 0,5 30104 San Nicolás 103 0,5 50601 Cañas 101 0,5 10311 100 0,5 40901 San Pablo 98 0,5 20110 Desamparados 94 0,5 10312 93 0,5 11005 San Felipe 92 0,5 10201 Escazú 91 0,5 10102 90 0,5 30801 Tejar 90 0,5 60601 90 0,5 60301 Buenos Aires 88 0,5 20601 Naranjo 87 0,5 10401 Santiago 86 0,5 40102 Mercedes 85 0,4 10203 San Rafael 84 0,4 10304 83 0,4 60701 Golfito 83 0,4 60101 Puntarenas 82 0,4 30201 Paraíso 81 0,4 60115 El Roble 81 0,4 10101 80 0,4 11304 León XIII 80 0,4 60201 Espíritu Santo 80 0,4 10303 San Juan de Dios 79 0,4 20108 San Rafael 79 0,4 11303 78 0,4 30103 Carmen 78 0,4 30105 78 0,4 11004 Concepción 75 0,4 11104 75 0,4 11302 75 0,4 61001 Corredores 75 0,4 70601 Guácimo 75 0,4 70502 Batán 73 0,4 10108 72 0,4 40104 Ulloa 72 0,4 11001 Alajuelita 71 0,4 11502 Sabanilla 71 0,4 70203 Rita 71 0,4 keep going...

- 25 - Continuation of variable pcd

Value Label Cases Percentage

11804 69 0,4 20105 Guácima 68 0,4 20106 San Isidro 68 0,4 60703 Guaycará 67 0,4 30106 Guadalupe 66 0,3 40801 San Joaquín 66 0,3 20203 San Juan 65 0,3 40301 Santo Domingo 65 0,3 10313 Los Guidos 64 0,3 20501 Atenas 64 0,3 21301 Upala 64 0,3 50401 Bagaces 64 0,3 50503 64 0,3 60901 Parrita 64 0,3 21004 63 0,3 21006 Pital 63 0,3 41003 Horquetas 63 0,3 10701 Colón 62 0,3 10305 San Antonio 60 0,3 21002 Florencia 60 0,3 10803 59 0,3 60801 59 0,3 11002 58 0,3 20901 Orotina 58 0,3 30102 Occidental 58 0,3 10804 Mata de Plátano 57 0,3 50701 Juntas 55 0,3 30302 San Diego 53 0,3 20112 Tambor 52 0,3 50203 San Antonio 52 0,3 60104 Lepanto 51 0,3 60502 Palmar 51 0,3 10307 Patarrá 50 0,3 10901 Santa Ana 50 0,3 40502 San Josecito 50 0,3 11403 Trinidad 49 0,3 40601 San Isidro 49 0,3 61101 Jacó 49 0,3 70102 49 0,3 10501 San Marcos 47 0,2 20109 Río Segundo 47 0,2 30305 Concepción 47 0,2 40501 San Rafael 47 0,2 20801 San Pedro 46 0,2 21401 Los Chiles 46 0,2 40504 Angeles 46 0,2 51001 La Cruz 46 0,2 61003 Canoas 46 0,2 keep going...

- 26 - Continuation of variable pcd

Value Label Cases Percentage

20304 San Roque 45 0,2 41001 Puerto Viejo 45 0,2 50501 Filadelfia 45 0,2 60401 Miramar 45 0,2 60802 45 0,2 10903 44 0,2 11103 Dulce Nombre de Jesús 44 0,2 11802 Granadilla 42 0,2 11305 Colima 41 0,2 40202 San Pedro 41 0,2 50303 Veintisiete de Abril 41 0,2 21013 40 0,2 40306 Santa Rosa 40 0,2 60702 Puerto Jiménez 40 0,2 70204 Roxana 40 0,2 11201 San Ignacio 39 0,2 20701 Palmares 39 0,2 21007 Fortuna 39 0,2 30107 Corralillo 38 0,2 30502 La Suiza 38 0,2 40701 San Antonio 38 0,2 21201 Sarchí Norte 37 0,2 40403 San Juan 37 0,2 60501 Puerto Cortés 37 0,2 61004 Laurel 37 0,2 11905 San Pedro 36 0,2 70604 Río Jiménez 36 0,2 10904 Uruca 35 0,2 11701 Santa María 35 0,2 30702 Cot 35 0,2 40702 Rivera 35 0,2 70104 35 0,2 20305 34 0,2 21101 34 0,2 50801 Tilarán 34 0,2 10905 33 0,2 11906 33 0,2 30205 Llanos de Santa Lucía 33 0,2 30304 San Rafael 33 0,2 10310 Damas 32 0,2 11504 San Rafael 32 0,2 20303 San José 32 0,2 20306 Río Cuarto 32 0,2 keep going...

- 27 - Continuation of variable pcd

Value Label Cases Percentage

30108 Tierra Blanca 32 0,2 30401 Juan Viñas 32 0,2 30802 San Isidro 32 0,2 50504 Belén 32 0,2 11907 Pejibaye 31 0,2 20113 Garita 31 0,2 40201 Barva 31 0,2 40401 Santa Bárbara 31 0,2 70401 31 0,2 11102 San Rafael 30 0,2 20307 Puente de Piedra 30 0,2 20703 Buenos Aires 30 0,2 30203 Orosi 30 0,2 50202 30 0,2 20208 Angeles 29 0,2 30109 Dulce Nombre 29 0,2 40803 Llorente 29 0,2 20111 Turrúcares 28 0,1 30506 Pavones 28 0,1 40203 San Pablo 28 0,1 61002 28 0,1 70503 Carrandi 28 0,1 11904 Rivas 27 0,1 11908 Cajón 27 0,1 20308 Bolívar 27 0,1 60202 27 0,1 10607 26 0,1 11911 Páramo 26 0,1 12001 San Pablo 26 0,1 20103 Carrizal 26 0,1 20107 Sabanilla 26 0,1 20702 Zaragoza 26 0,1 21302 Aguas Claras 26 0,1 30303 San Juan 26 0,1 30601 26 0,1 40205 Santa Lucía 26 0,1 40303 San Miguel 26 0,1 60105 26 0,1 70202 Jiménez 26 0,1 70403 26 0,1 11105 Cascajal 25 0,1 21005 Venecia 25 0,1 60103 25 0,1 70103 Río Blanco 25 0,1 70302 25 0,1 11902 General 24 0,1 20706 Esquipulas 24 0,1 20804 24 0,1 keep going...

- 28 - Continuation of variable pcd

Value Label Cases Percentage

21009 Palmera 24 0,1 21501 San Rafael 24 0,1 40404 Jesús 24 0,1 40703 Asunción 24 0,1 50309 Tamarindo 24 0,1 10306 Frailes 23 0,1 20204 23 0,1 20707 Granja 23 0,1 40206 San José de la Montaña 23 0,1 50704 Colorado 23 0,1 51002 Santa Cecilia 23 0,1 60803 23 0,1 70402 23 0,1 70501 Matina 23 0,1 70603 23 0,1 20206 San Rafael 22 0,1 20213 Peñas Blancas 22 0,1 20505 Concepción 22 0,1 70605 Duacarí 22 0,1 11402 San Jerónimo 21 0,1 20803 San Rafael 21 0,1 21202 Sarchí Sur 21 0,1 30803 21 0,1 40302 San Vicente 21 0,1 40402 San Pedro 21 0,1 50307 21 0,1 51101 Hojancha 21 0,1 60303 Potrero Grande 21 0,1 61102 Tárcoles 21 0,1 10604 San Gabriel 20 0,1 10703 20 0,1 11503 Mercedes 20 0,1 20202 Santiago 20 0,1 20608 Palmitos 20 0,1 21303 San José 20 0,1 30306 Dulce Nombre 20 0,1 30307 San Ramón 20 0,1 30308 Río Azul 20 0,1 30505 Santa Teresita 20 0,1 30602 Cervantes 20 0,1 60111 Cóbano 20 0,1 10402 19 0,1 20302 San Isidro 19 0,1 20504 San Isidro 19 0,1 21011 19 0,1 30204 Cachí 19 0,1 40602 San José 19 0,1 50502 Palmira 19 0,1 keep going...

- 29 - Continuation of variable pcd

Value Label Cases Percentage

70305 Cairo 19 0,1 10502 San Lorenzo 18 0,1 10603 18 0,1 21008 Tigra 18 0,1 30402 18 0,1 30504 Santa Cruz 18 0,1 40308 Pará 18 0,1 40505 Concepción 18 0,1 10408 San Antonio 17 0,1 11203 17 0,1 20502 Jesús 17 0,1 20705 Candelaria 17 0,1 20904 17 0,1 30509 Santa Rosa 17 0,1 41002 17 0,1 50304 17 0,1 60505 Piedras Blancas 17 0,1 20604 Cirrí Sur 16 0,1 21502 Buenavista 16 0,1 30511 16 0,1 50102 Cañas Dulces 16 0,1 50308 16 0,1 50604 Bebedero 16 0,1 50904 San Pablo 16 0,1 60106 Manzanillo 16 0,1 10309 Rosario 15 0,1 20205 15 0,1 20606 San Juan 15 0,1 21304 Bijagua 15 0,1 40503 Santiago 15 0,1 40604 San Francisco 15 0,1 50204 Quebrada Honda 15 0,1 50906 Bejuco 15 0,1 60804 Limoncito 15 0,1 10902 14 0,1 20211 Concepción 14 0,1 20902 Mastate 14 0,1 21403 El Amparo 14 0,1 30110 Llano Grande 14 0,1 30111 14 0,1 40305 Santo Tomás 14 0,1 40405 Santo Domingo 14 0,1 40802 Barrantes 14 0,1 60704 Pavón 14 0,1 70306 Alegría 14 0,1 20207 San Isidro 13 0,1 20209 Alfaro 13 0,1 20401 San Mateo 13 0,1 keep going...

- 30 - Continuation of variable pcd

Value Label Cases Percentage

20704 Santiago 13 0,1 21305 Delicias 13 0,1 30508 13 0,1 30512 Chirripó 13 0,1 30704 13 0,1 40204 San Roque 13 0,1 40902 Rincón de Sabanilla 13 0,1 50305 Cartagena 13 0,1 60109 Monte Verde 13 0,1 60203 13 0,1 60302 Volcán 13 0,1 60602 13 0,1 10403 Barbacoas 12 0,1 10802 San Francisco 12 0,1 11803 Sánchez 12 0,1 20802 San Juan 12 0,1 50206 12 0,1 60309 Brunka 12 0,1 10409 11 0,1 11202 Guaitil 11 0,1 21204 San Pedro 11 0,1 30403 Pejibaye 11 0,1 30705 Santa Rosa 11 0,1 40307 11 0,1 50402 Fortuna 11 0,1 50901 Carmona 11 0,1 60504 Bahía Ballena 11 0,1 70304 Germania 11 0,1 10308 San Cristóbal 10 0,1 10605 Legua 10 0,1 12004 San Isidro 10 0,1 20602 San Miguel 10 0,1 20603 San José 10 0,1 21012 Monterrey 10 0,1 21402 Caño Negro 10 0,1 40304 10 0,1 50205 10 0,1 50403 Mogote 10 0,1 60603 Naranjito 10 0,1 10404 9 0,0 10702 Guayabo 9 0,0 11003 San Antonio 9 0,0 11204 9 0,0 11601 San Pablo 9 0,0 11910 Río Nuevo 9 0,0 12003 Llano Bonito 9 0,0 20503 Mercedes 9 0,0 20805 9 0,0 keep going...

- 31 - Continuation of variable pcd

Value Label Cases Percentage

21307 9 0,0 30202 Santiago 9 0,0 40603 Concepción 9 0,0 50207 Belén de Nosarita 9 0,0 50902 Santa Rita 9 0,0 60304 9 0,0 60308 9 0,0 70404 Telire 9 0,0 11205 8 0,0 11703 Copey 8 0,0 20114 Sarapiquí 8 0,0 20403 Jesús María 8 0,0 20607 Rosario 8 0,0 21504 8 0,0 50104 8 0,0 50302 Bolsón 8 0,0 50306 Cuajiniquil 8 0,0 60102 Pitahaya 8 0,0 60307 8 0,0 60403 San Isidro 8 0,0 70602 Mercedes 8 0,0 10405 San Rafael 7 0,0 11603 San Juan de Mata 7 0,0 20506 San José 7 0,0 20605 San Jerónimo 7 0,0 20905 Ceiba 7 0,0 21404 San Jorge 7 0,0 30507 Tuis 7 0,0 10406 Candelaria 6 0,0 10606 Monterrey 6 0,0 10906 Brasil 6 0,0 11909 Barú 6 0,0 21205 Rodríguez 6 0,0 30603 Capellades 6 0,0 50103 Mayorga 6 0,0 50404 Río Naranjo 6 0,0 50603 San Miguel 6 0,0 51003 Garita 6 0,0 51103 6 0,0 60503 6 0,0 60805 Pittier 6 0,0 70206 Colorado 6 0,0 70303 Florida 6 0,0 10806 5 0,0 12005 Santa Cruz 5 0,0 12006 San Antonio 5 0,0 20210 Volio 5 0,0 20508 Escobal 5 0,0 keep going...

- 32 - Continuation of variable pcd

Value Label Cases Percentage

21103 Tapezco 5 0,0 30703 5 0,0 50703 San Juan 5 0,0 50805 Líbano 5 0,0 50806 5 0,0 60107 Guacimal 5 0,0 60113 Chira 5 0,0 60402 Unión 5 0,0 10407 4 0,0 10602 4 0,0 12002 San Andrés 4 0,0 20212 4 0,0 20507 Santa Eulalia 4 0,0 20903 4 0,0 21010 Venado 4 0,0 21102 Laguna 4 0,0 21105 Palmira 4 0,0 21306 Dos Ríos 4 0,0 21503 Cote 4 0,0 30510 4 0,0 40406 Purabá 4 0,0 50105 Curubandé 4 0,0 50602 Palmira 4 0,0 50802 Quebrada Grande 4 0,0 50803 4 0,0 50804 Santa Rosa 4 0,0 50807 Arenal 4 0,0 50903 Zapotal 4 0,0 60204 San Rafael 4 0,0 60306 Colinas 4 0,0 10705 3 0,0 50702 Sierra 3 0,0 50905 Porvenir 3 0,0 51004 Santa Elena 3 0,0 10704 Piedras Negras 2 0,0 11602 San Pedro 2 0,0 11604 San Luis 2 0,0 11702 Jardín 2 0,0 20402 2 0,0 21003 Buenavista 2 0,0 21107 2 0,0 60205 San Jerónimo 2 0,0 10503 San Carlos 1 0,0 11605 Carara 1 0,0 21106 Zapote 1 0,0 21203 1 0,0 30503 Peralta 1 0,0 30804 1 0,0 keep going...

- 33 - Continuation of variable pcd

Value Label Cases Percentage 50605 1 0,0 60114 Acapulco 1 0,0 60305 Pilas 1 0,0 10706 0 0,0 10707 Quitirrisí 0 0,0 11912 La Amistad 0 0,0 20404 Labrador 0 0,0 21104 Guadalupe 0 0,0 21308 Canalete 0 0,0 40105 Vara Blanca 0 0,0 41004 Llanuras de Gaspar 0 0,0 41005 Cureña 0 0,0 51102 0 0,0 51104 Huacas 0 0,0 60110 Isla del Coco 0 0,0 60116 Arancibia 0 0,0 60206 Caldera 0 0,0 60506 Bahía Drake 0 0,0 60806 Gutiérrez Brown 0 0,0 70207 0 0,0

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 34 - # zona: Zone

Information [Type= discrete] [Format=numeric] [Range= 1-5] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

This is a variable that allows for death distribution to be determined in accordance with the degree of urbanization of the country’s administrative political division, according to the most recent National Population Census in 2000.

The data obtained for the variable “Zone” is classified as either Urban Zone or Rural Zone. The Urban Zone is comprised of the urban and urban periphery categories of the 2000 National Population Census; the Rural Zone comprised of the concentrated and dispersed rural categories of the same census.

For greater comprehension, the definitions of urban, urban periphery, concentrated rural and dispersed rural are detailed below:

● Urban: the urban areas were defined a priori based on physical and functional criteria, taking into account tangible elements such as clearly defined blocks, streets, sidewalks, urban services (trash collection, public lighting), and economic activities. The geographical zoning boundaries were determined on the basis of the administrative centers Definition of each canton or district, and were extended in accordance with the above mentioned characteristics.

● Urban periphery: these zones were defined as those located outside the main urban area that, despite not being fully urban, still had many characteristics in common with these zones. These areas are considered “transition zones” from rural zones to urban ones. Its boundaries consist of imaginary lines that border the quadrant and the adjacent areas.

● Concentrated rural: are population centers, located outside of the urban zone, that exhibit certain characteristics, such as: a predominance of non-agricultural activities; 50 or more houses grouped together at distances usually no greater than 20 meters; access to basic infrastructural services such as electricity, potable water and telephone; the presence of a school, church, park or plaza, health center, local police force, etc.; the presence of small or medium-sized businesses related, at least in part, to the supply of goods for agricultural production; and a name that distinguishes it from other population centers and towns.

Universe All the deaths that occurred and were registered nationwide in 2010.

Source Does not apply. This variable is obtained from other variables.

Literal question There is no question specifically assigned to this variable in the questionnaire.

According to the current Administrative Division of Territories (INEC’s Administrative Division of Territories Manual – DTA as per its acronym in Spanish) districts have Interviewer's instructions already been assigned codes based on which zone they belong to. As such, please refer to this manual before assigning a value to this variable.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 1 Urban 9 884 51,8 5 Rural 9 193 48,2

- 35 - Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# causamuer: Cause of death

Information [Type= discrete] [Format=character] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

This variable refers to the “basic, direct or immediate cause of death,” defined as: (a) the disease or injury that produced the chain of pathological events that led directly to the Definition person’s death, or (b) the circumstances of the accident or violent act that produced the fatal injury. Universe All the deaths that occurred and were registered nationwide in 2010.

Source The medical professional that certified the death.

Literal question 7a. Causes of death. Direct or immediate cause

Please assign a code in accordance with the tenth edition of the International Statistical Interviewer's instructions Classification of Diseases and Related Health Problems (ICD-10); we have duly qualified personnel for this task.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# autopsia: Performance of autopsy

Information [Type= discrete] [Format=numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to whether or not an autopsy was performed.

Universe All the deaths that occurred and were registered nationwide in 2010.

Source The medical professional that certified the death.

Literal question 7c. Autopsy

Interviewer's instructions Enter a “1” if an autopsy was performed; otherwise enter a “2”.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 1 Yes 3 415 17,9 2 No 15 656 82,1 3 Unknown 6 0,0

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 36 - # asistmed: Medical attention

Information [Type= discrete] [Format=numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Refers to whether or not the deceased received medical attention prior to death; that is, Definition was the medical professional who certified the person’s death aware of the patient’s ailment, regardless of when it was first diagnosed?

Universe All the deaths that occurred and were registered nationwide in 2010.

Source The medical professional that certified the death.

Literal question 7d. Medical attention received

Enter a “1” if the deceased received medical attention prior to death; otherwise enter a Interviewer's instructions “2”. Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 1 Yes 16 943 88,8 2 No 2 128 11,2 3 Unknown 6 0,0

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 37 - # instmurio: Place of death

Information [Type= discrete] [Format=numeric] [Range= 0-110] [Missing=*/99]

Statistics [NW/ W] [Valid=19008 /-] [Invalid=69 /-]

Refers to the deceased’s place of death; possible responses include: deceased’s home, a Definition hospital institution or other.

Universe All the deaths that occurred and were registered nationwide in 2010.

An informant is the direct source. The informant can be any blood relative and/or Source relative-in-law of the deceased.

Literal question 8. Place of death: This variable specifies the place or institution (hospital or otherwise) where the death Interviewer's instructions occurred. Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage

0 At Home 6 769 35,5 1 San Juan de Dios Hospital 1 667 8,7

2 Calderón Guardia Hospital 1 404 7,4 3 México Hospital 1 239 6,5

98 Other 737 3,9 15 Max Peralta Hospital, Cartago 658 3,4

17 San Vicente de Paul Hospital, Heredia 586 3,1 10 San Rafael de Alajuela Hospital 556 2,9

35 In the thoroughfare 541 2,8 18 Enrique Baltodano Hospital, Liberia 521 2,7

20 Monseñor Sanabria Hospital, Puntarenas 479 2,5 9 Escalante Pradilla Hospital, Pérez Zeledón 439 2,3

23 Tony Facio Hospital, Limón 353 1,9 21 Blanco Cervantes Hospital 302 1,6

14 San Carlos Hospital 288 1,5

24 La Anexión Hospital, Nicoya 279 1,5 5 National Children’s Hospital 278 1,5

13 Carlos Luis Valverde Vega Hospital, San Ramón 254 1,3 11 Nursing Home 240 1,3

25 Guápiles Hospital 214 1,1 12 San Francisco de Asís Hospital, Grecia 156 0,8

16 William Allen Taylor Hospital, Turrialba 148 0,8 97 Other Hospital Institutions 135 0,7

22 Max Terán Valls Hospital, Quepos 68 0,4 27 Golfito Hospital 66 0,3

40 Biblical Clinic 54 0,3 26 Ciudad Neily Hospital 50 0,3

95 Ambulance 48 0,3 30 San Vito Hospital 45 0,2

29 Tomás Casas Hospital, Osa 40 0,2

4 Women’s Hospital 39 0,2 36 Cima Hospital 37 0,2

96 Coronado Clinic 34 0,2 28 Upala Hospital 33 0,2

42 Catholic Clinic 31 0,2 62 Los Chiles Clinic 27 0,1

87 Siquirres Clinic 17 0,1 - 38 - 88 Batán Clinic 16 0,1

57 Puriscal Clinic 14 0,1 keep going...

Continuation of variable instmurio

Value Label Cases Percentage

6 Pavas Mental Hospital 13 0,1

38 Santa Cruz Clinic 12 0,1 92 Buenos Aires Clinic 10 0,1

107 Seguro de Cañas Clinic 8 0,0 68 Aguas Zarcas Clinic 6 0,0

46 Tarrazú Clinic 6 0,0

75 Tilarán Clinic 5 0,0 61 Parrita Clinic 5 0,0

33 Jerusalén Clinic 5 0,0 110 Valle La Estrella Clinic 4 0,0

84 Río Frío Clinic 4 0,0

74 Abangares Clinic 4 0,0 65 Orotina Clinic 4 0,0

45 Sarapiquí Clinic 4 0,0 37 Cariari Clinic, Pococí 4 0,0

19 Luis Leipol Hospital, Cañas 4 0,0

109 Paquera Clinic 3 0,0

73 Filadelfia Clinic 3 0,0

69 La Fortuna Clinic 3 0,0

64 Naranjo Clinic 3 0,0

8 National Rehabilitation Center 3 0,0 104 Daytonia Clinic 2 0,0

89 Guácimo Clinic 2 0,0

85 La Fortuna Clinic (Limón) 2 0,0 76 La Cruz Clinic 2 0,0

72 Bagaces Clinic 2 0,0 63 Atenas Clinic 2 0,0

59 Aserrí Clinic 2 0,0

58 Acosta Clinic 2 0,0 50 Paraíso Clinic 2 0,0

32 Chacón Paut Hospital, Tres Ríos 2 0,0

103 Home Creek Clinic 1 0,0

102 Suretka Clinic 1 0,0

94 Bribrí Clinic 1 0,0 93 La Cuesta Clinic 1 0,0

91 Palmar Sur Clinic 1 0,0 90 Sixaola Clinic 1 0,0

86 Tica Ban Clinic 1 0,0

83 Jicaral Clinic 1 0,0 79 April 27th Clinic, Santa Cruz 1 0,0

77 Nandayure Clinic 1 0,0

60 Turrubares Clinic 1 0,0

49 La Unión Clinic 1 0,0

41 Santa Rita Clinic 1 0,0 99 Unknown 69 0,4

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 39 - # provocu: Province of occurrence

Information [Type= discrete] [Format=numeric] [Range= 1-7] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Refers to the province in which the deceased died; that is, the province where the hospital institution, personal home, or place of death is located. In the case of deaths occurring in Definition public thoroughfares, the province where the body is found is considered the province of death.

Universe All the deaths that occurred and were registered nationwide in 2010.

Source Does not apply. This is a location variable.

Literal question 9. Place of death, province

Refers to the province in which the deceased died; please assign this variable the code that Interviewer's instructions it corresponds in accordance with the Administrative Division of Territories Manual. Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage

1 San Jose 8 702 45,6 19 077 2 Alajuela 2 992 15,7 3 Cartago 1 740 9,1 4 Heredia 1 330 7,0 5 Guanacaste 1 490 7,8 6 Puntarenas 1 599 8,4 7 Limon 1 224 6,4

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of int e re s t .

- 40 - # pcocu: Canton of occurrence

Information [Type= continuous] [Format=numeric] [Range= 101-706] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Refers to the canton in which the deceased died; that is, the canton where the hospital institution, Definition personal home, or place of death is located. In the case of deaths occurring in public thoroughfares, the canton where the body is found is considered the province of death.

Universe All the deaths that occurred and were registered nationwide in 2010.

Source Does not apply. This is a location variable.

Literal question 9. Place of death, canton

Please assign this variable the code that it corresponds in accordance with the current Administrative Division of Territories (INEC’s Administrative Division of Territories Manual – DTA Interviewer's instructions as per its acronym in Spanish). This variable is comprised of a 1-digit number and a 2-digit number; the former being the province and the latter the canton of death

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 101 San José 5 841 30,6 201 Alajuela 1 127 5,9 301 Cartago 981 5,1 401 Heredia 773 4,1 601 Puntarenas 723 3,8 119 Pérez Zeledón 661 3,5 501 Liberia 616 3,2 701 Limón 540 2,8 210 San Carlos 528 2,8 103 Desamparados 411 2,2 702 Pococí 400 2,1 202 San Ramón 394 2,1 502 Nicoya 392 2,1 203 Grecia 313 1,6 108 Goicoechea 312 1,6 305 Turrialba 280 1,5 113 Tibás 193 1,0 102 Escazú 177 0,9 303 La Union 173 0,9 503 Santa Cruz 154 0,8 607 Golfito 152 0,8 115 Montes de Oca 149 0,8 111 Vázquez de Coronado 145 0,8 610 Corredores 144 0,8 114 Moravia 130 0,7 606 Aguirre 129 0,7 118 Curridabat 125 0,7 608 Coto Brus 121 0,6 403 Santo Domingo 108 0,6 keep going...

- 41 - Continuation of variable pcocu

Value Label Cases Percentage

703 Siquirres 108 0,6 110 Alajuelita 107 0,6 605 Osa 107 0,6 106 Aserrí 98 0,5 104 Puriscal 91 0,5 206 Naranjo 90 0,5 213 Upala 90 0,5 307 Oreamuno 87 0,5 302 Paraíso 86 0,5 205 Atenas 84 0,4 207 Palmares 82 0,4 308 El Guarco 80 0,4 109 Santa Ana 76 0,4 405 San Rafael 75 0,4 603 Buenos Aires 74 0,4 506 Cañas 72 0,4 505 Carrillo 71 0,4 402 Barva 70 0,4 706 Guácimo 69 0,4 214 Los Chiles 63 0,3 208 Poás 60 0,3 410 Sarapiquí 59 0,3 602 Esparza 59 0,3 407 Belén 58 0,3 705 Matina 58 0,3 408 Flores 53 0,3 404 Santa Bárbara 50 0,3 704 Talamanca 49 0,3 409 San Pablo 46 0,2 112 Acosta 43 0,2 209 Orotina 43 0,2 107 Mora 42 0,2 508 Tilarán 41 0,2 611 Garabito 41 0,2 105 Tarrazú 39 0,2 504 Bagaces 39 0,2 406 San Isidro 38 0,2 507 Abangares 38 0,2 211 Alfaro Ruíz 36 0,2 215 Guatuso 36 0,2 510 La Cruz 32 0,2 609 Parrita 32 0,2 212 Valverde Vega 30 0,2 306 Alvarado 30 0,2 120 León Cortés 28 0,1 509 Nandayure 26 0,1 304 Jiménez 23 0,1 117 Dota 21 0,1 604 Montes de Oro 17 0,1 204 San Mateo 16 0,1 116 Turrubares 13 0,1 - 42 - 511 Hojancha 9 0,0

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# pcdocu: District of occurrence

Information [Type= continuous] [Format=numeric] [Range= 10101-70605] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Refers to the district in which the deceased died; that is, the district where the hospital institution, Definition personal home, or place of death is located. In the case of deaths occurring in public thoroughfares, the district where the body is found is considered the province of death.

Universe All the deaths that occurred and were registered nationwide in 2010.

Source Does not apply. This is a location variable.

Literal question 9. Place of death, district

Please assign this variable the code that it corresponds in accordance with the current Administrative Division of Territories (INEC’s Administrative Division of Territories Manual – DTA Interviewer's instructions as per its acronym in Spanish). This variable is comprised of a 1-digit number and two 2-digit number; the 1-digit number being the province, the following 2-digit number being the canton, and the last 2-digit number being the district of death.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage

10103 Hospital 2 355 12,3 10101 Carmen 1 446 7,6 10107 Uruca 1 282 6,7 30101 Oriental 730 3,8 20101 Alajuela 726 3,8 40101 Heredia 642 3,4 50101 Liberia 600 3,1 11901 San Isidro de El General 524 2,7 60115 El Roble 505 2,6 70101 Limón 490 2,6 21001 Quesada 361 1,9 50201 Nicoya 336 1,8 20203 San Juan 273 1,4 70201 Guápiles 263 1,4 20301 Grecia 204 1,1 30501 Turrialba 200 1,0 10109 Pavas 162 0,8 10104 Catedral 125 0,7 10111 San Sebastián 122 0,6 10110 Hatillo 116 0,6 60601 Quepos 116 0,6 10301 Desamparados 101 0,5 10801 Guadalupe 98 0,5 11401 San Vicente 98 0,5 20102 San José 98 0,5 60701 Golfito 95 0,5 11501 San Pedro 88 0,5 61001 Corredores 88 0,5 10105 Zapote 83 0,4 10203 San Rafael 81 0,4 60801 San Vito 76 0,4 keep going...

- 43 - Continuation of variable pcdocu

Value Label Cases Percentage

11101 San Isidro 74 0,4 11301 San Juan 73 0,4 70301 Siquirres 73 0,4 50301 Santa Cruz 72 0,4 11801 Curridabat 70 0,4 70205 Cariari 67 0,4 10805 Ipís 63 0,3 40103 San Francisco 63 0,3 10202 San Antonio 61 0,3 10302 San Miguel 61 0,3 50601 Cañas 61 0,3 10601 Aserrí 60 0,3 60501 Puerto Cortés 60 0,3 10803 Calle Blancos 59 0,3 30701 San Rafael 59 0,3 30104 San Nicolás 57 0,3 10106 San Francisco de Dos Ríos 56 0,3 30801 Tejar 55 0,3 60108 Barranca 53 0,3 11903 Daniel Flores 52 0,3 21301 Upala 51 0,3 10108 Mata Redonda 50 0,3 20201 San Ramón 50 0,3 10401 Santiago 49 0,3 10807 Purral 49 0,3 21401 Los Chiles 49 0,3 30301 Tres Ríos 49 0,3 20104 San Antonio 46 0,2 20110 Desamparados 46 0,2 60101 Puntarenas 46 0,2 10102 Merced 44 0,2 20601 Naranjo 43 0,2 11303 Anselmo Llorente 42 0,2 40901 San Pablo 42 0,2 40102 Mercedes 41 0,2 60301 Buenos Aires 41 0,2 11005 San Felipe 39 0,2 10303 San Juan de Dios 38 0,2 30106 Guadalupe 38 0,2 30201 Paraíso 37 0,2 10201 Escazú 35 0,2 10311 San Rafael Abajo 35 0,2 10312 Gravilias 35 0,2 20501 Atenas 35 0,2 10804 Mata de Plátano 34 0,2 11502 Sabanilla 34 0,2 30103 Carmen 34 0,2 70203 Rita 34 0,2 keep going...

- 44 - Continuation of variable pcdocu

Value Label Cases Percentage

20108 San Rafael 33 0,2 41003 Horquetas 33 0,2 20105 Guácima 32 0,2 30102 Occidental 32 0,2 60201 Espíritu Santo 32 0,2 60901 Parrita 32 0,2 10305 San Antonio 31 0,2 20106 San Isidro 31 0,2 30105 Aguacaliente 31 0,2 40801 San Joaquín 31 0,2 61101 Jacó 31 0,2 70502 Batán 31 0,2 10304 San Rafael Arriba 30 0,2 11302 Cinco Esquinas 30 0,2 21004 Aguas Zarcas 30 0,2 11304 León XIII 29 0,2 20112 Tambor 29 0,2 20801 San Pedro 29 0,2 30302 San Diego 29 0,2 30305 Concepción 29 0,2 60703 Guaycará 29 0,2 70601 Guácimo 29 0,2 11001 Alajuelita 28 0,1 11104 Patalillo 28 0,1 21006 Pital 28 0,1 50401 Bagaces 28 0,1 60112 Chacarita 28 0,1 10501 San Marcos 27 0,1 11804 Tirrases 27 0,1 20109 Río Segundo 27 0,1 40104 Ulloa 27 0,1 50503 Sardinal 27 0,1 10701 Colón 26 0,1 20901 Orotina 26 0,1 40301 Santo Domingo 26 0,1 61003 Canoas 26 0,1 21101 Zarcero 25 0,1 50203 San Antonio 25 0,1 50701 Juntas 25 0,1 60104 Lepanto 25 0,1 70102 Valle La Estrella 25 0,1 20304 San Roque 24 0,1 21002 Florencia 24 0,1 21013 Pocosol 24 0,1 11004 Concepción 23 0,1 40306 Santa Rosa 23 0,1 40504 Angeles 23 0,1 10313 Los Guidos 22 0,1 keep going...

- 45 - Continuation of variable pcdocu

Value Label Cases Percentage

11201 San Ignacio 22 0,1 11403 Trinidad 22 0,1 11802 Granadilla 22 0,1 40701 San Antonio 22 0,1 50303 Veintisiete de Abril 22 0,1 50501 Filadelfia 22 0,1 50801 Tilarán 22 0,1 60502 Palmar 22 0,1 70204 Roxana 22 0,1 10903 Pozos 21 0,1 41001 Puerto Viejo 21 0,1 51001 La Cruz 21 0,1 30304 San Rafael 20 0,1 30502 La Suiza 20 0,1 40702 Rivera 20 0,1 60702 Puerto Jiménez 20 0,1 60802 Sabalito 20 0,1 10310 Damas 19 0,1 11305 Colima 19 0,1 20303 San José 19 0,1 20305 Tacares 19 0,1 40202 San Pedro 19 0,1 40501 San Rafael 19 0,1 60105 Paquera 19 0,1 11102 San Rafael 18 0,1 21007 Fortuna 18 0,1 30205 Llanos de Santa Lucía 18 0,1 30601 Pacayas 18 0,1 30702 Cot 18 0,1 10901 Santa Ana 17 0,1 10904 Uruca 17 0,1 20306 Río Cuarto 17 0,1 20701 Palmares 17 0,1 21501 San Rafael 17 0,1 30203 Orosi 17 0,1 30303 San Juan 17 0,1 40502 San Josecito 17 0,1 61004 Laurel 17 0,1 70403 Cahuita 17 0,1 11103 Dulce Nombre de Jesús 16 0,1 20113 Garita 16 0,1 20702 Zaragoza 16 0,1 30107 Corralillo 16 0,1 30108 Tierra Blanca 16 0,1 40703 Asunción 16 0,1 10307 Patarrá 15 0,1 11503 Mercedes 15 0,1 11701 Santa María 15 0,1 keep going...

- 46 - Continuation of variable pcdocu

Value Label Cases Percentage

20307 Puente de Piedra 15 0,1 40303 San Miguel 15 0,1 40803 Llorente 15 0,1 50307 Diriá 15 0,1 50504 Belén 15 0,1 70402 Sixaola 15 0,1 70503 Carrandi 15 0,1 11002 San Josecito 14 0,1 11908 Cajón 14 0,1 20502 Jesús 14 0,1 20707 Granja 14 0,1 30802 San Isidro 14 0,1 50309 Tamarindo 14 0,1 60803 Aguabuena 14 0,1 70604 Río Jiménez 14 0,1 10607 Salitrillos 13 0,1 11911 Páramo 13 0,1 20103 Carrizal 13 0,1 20111 Turrúcares 13 0,1 20703 Buenos Aires 13 0,1 21302 Aguas Claras 13 0,1 30109 Dulce Nombre 13 0,1 30506 Pavones 13 0,1 40206 San José de la Montaña 13 0,1 40302 San Vicente 13 0,1 40401 Santa Bárbara 13 0,1 50202 Mansión 13 0,1 60103 Chomes 13 0,1 60202 San Juan Grande 13 0,1 60401 Miramar 13 0,1 60504 Bahía Ballena 13 0,1 61002 La Cuesta 13 0,1 70103 Río Blanco 13 0,1 10306 Frailes 12 0,1 10905 Piedades 12 0,1 11504 San Rafael 12 0,1 11906 Platanares 12 0,1 20107 Sabanilla 12 0,1 20202 Santiago 12 0,1 20606 San Juan 12 0,1 21009 Palmera 12 0,1 21201 Sarchí Norte 12 0,1 30512 Chirripó 12 0,1 40203 San Pablo 12 0,1 40205 Santa Lucía 12 0,1 40602 San José 12 0,1 50304 Tempate 12 0,1 60111 Cóbano 12 0,1 keep going...

- 47 - Continuation of variable pcdocu

Value Label Cases Percentage

70104 Matama 12 0,1 70501 Matina 12 0,1 10502 San Lorenzo 11 0,1 11904 Rivas 11 0,1 11907 Pejibaye 11 0,1 20213 Peñas Blancas 11 0,1 20608 Palmitos 11 0,1 20804 Carrillos 11 0,1 21502 Buenavista 11 0,1 30307 San Ramón 11 0,1 30401 Juan Viñas 11 0,1 40201 Barva 11 0,1 40308 Pará 11 0,1 40404 Jesús 11 0,1 40601 San Isidro 11 0,1 50308 Cabo Velas 11 0,1 50704 Colorado 11 0,1 70605 Duacarí 11 0,1 10402 Mercedes Sur 10 0,1 10703 Tabarcia 10 0,1 11402 San Jerónimo 10 0,1 11902 General 10 0,1 12001 San Pablo 10 0,1 20204 Piedades Norte 10 0,1 20706 Esquipulas 10 0,1 20803 San Rafael 10 0,1 30803 Tobosi 10 0,1 40305 Santo Tomás 10 0,1 40402 San Pedro 10 0,1 40505 Concepción 10 0,1 40604 San Francisco 10 0,1 61102 Tárcoles 10 0,1 70401 Bratsi 10 0,1 10603 Vuelta de Jorco 9 0,0 11105 Cascajal 9 0,0 11905 San Pedro 9 0,0 20208 Angeles 9 0,0 20504 San Isidro 9 0,0 20505 Concepción 9 0,0 21011 Cutris 9 0,0 30204 Cachí 9 0,0 30306 Dulce Nombre 9 0,0 30308 Río Azul 9 0,0 30402 Tucurrique 9 0,0 30505 Santa Teresita 9 0,0 60203 Macacona 9 0,0 60303 Potrero Grande 9 0,0 60505 Piedras Blancas 9 0,0 keep going...

- 48 - Continuation of variable pcdocu

Value Label Cases Percentage

60602 Savegre 9 0,0 70202 Jiménez 9 0,0 70603 Pocora 9 0,0 10308 San Cristóbal 8 0,0 10408 San Antonio 8 0,0 10902 Salitral 8 0,0 11203 Palmichal 8 0,0 20308 Bolívar 8 0,0 20401 San Mateo 8 0,0 20705 Candelaria 8 0,0 21008 Tigra 8 0,0 21303 San José 8 0,0 30110 Llano Grande 8 0,0 50206 Nosara 8 0,0 50901 Carmona 8 0,0 60704 Pavón 8 0,0 70302 Pacuarito 8 0,0 70305 Cairo 8 0,0 70306 Alegría 8 0,0 12003 Llano Bonito 7 0,0 20206 San Rafael 7 0,0 20211 Concepción 7 0,0 20302 San Isidro 7 0,0 20503 Mercedes 7 0,0 20604 Cirrí Sur 7 0,0 20904 Coyolar 7 0,0 21204 San Pedro 7 0,0 21403 El Amparo 7 0,0 30509 Santa Rosa 7 0,0 30602 Cervantes 7 0,0 40403 San Juan 7 0,0 40405 Santo Domingo 7 0,0 40802 Barrantes 7 0,0 50402 Fortuna 7 0,0 50502 Palmira 7 0,0 51101 Hojancha 7 0,0 60109 Monte Verde 7 0,0 60309 Brunka 7 0,0 70404 Telire 7 0,0 10403 Barbacoas 6 0,0 10604 San Gabriel 6 0,0 10606 Monterrey 6 0,0 11603 San Juan de Mata 6 0,0 11803 Sánchez 6 0,0 20802 San Juan 6 0,0 20902 Mastate 6 0,0 21005 Venecia 6 0,0 21012 Monterrey 6 0,0 keep going...

- 49 - Continuation of variable pcdocu

Value Label Cases Percentage

21202 Sarchí Sur 6 0,0 21304 Bijagua 6 0,0 30111 Quebradilla 6 0,0 30511 La Isabel 6 0,0 30704 Cipreses 6 0,0 40503 Santiago 6 0,0 50102 Cañas Dulces 6 0,0 50204 Quebrada Honda 6 0,0 60106 Manzanillo 6 0,0 60804 Limoncito 6 0,0 70304 Germania 6 0,0 70602 Mercedes 6 0,0 10404 Grifo Alto 5 0,0 10802 San Francisco 5 0,0 11202 Guaitil 5 0,0 11703 Copey 5 0,0 20114 Sarapiquí 5 0,0 20205 Piedades Sur 5 0,0 20209 Alfaro 5 0,0 20402 Desmonte 5 0,0 20508 Escobal 5 0,0 20605 San Jerónimo 5 0,0 20607 Rosario 5 0,0 21305 Delicias 5 0,0 21307 Yolillal 5 0,0 30202 Santiago 5 0,0 30507 Tuis 5 0,0 30603 Capellades 5 0,0 40304 Paracito 5 0,0 40307 Tures 5 0,0 40603 Concepción 5 0,0 41002 La Virgen 5 0,0 50604 Bebedero 5 0,0 50802 Quebrada Grande 5 0,0 50807 Arenal 5 0,0 50904 San Pablo 5 0,0 50906 Bejuco 5 0,0 51002 Santa Cecilia 5 0,0 60805 Pittier 5 0,0 70206 Colorado 5 0,0 70303 Florida 5 0,0 10309 Rosario 4 0,0 10409 Chires 4 0,0 10806 Rancho Redondo 4 0,0 11204 Cangrejal 4 0,0 11205 Sabanillas 4 0,0 12004 San Isidro 4 0,0 12006 San Antonio 4 0,0 keep going...

- 50 - Continuation of variable pcdocu

Value Label Cases Percentage

20207 San Isidro 4 0,0 20603 San José 4 0,0 20704 Santiago 4 0,0 20805 Sabana Redonda 4 0,0 21205 Rodríguez 4 0,0 21402 Caño Negro 4 0,0 21503 Cote 4 0,0 21504 Katira 4 0,0 30504 Santa Cruz 4 0,0 40902 Rincón de Sabanilla 4 0,0 50103 Mayorga 4 0,0 50306 Cuajiniquil 4 0,0 50603 San Miguel 4 0,0 50902 Santa Rita 4 0,0 51003 Garita 4 0,0 60102 Pitahaya 4 0,0 60204 San Rafael 4 0,0 60302 Volcán 4 0,0 60307 Chánguena 4 0,0 60308 Biolley 4 0,0 60603 Naranjito 4 0,0 10405 San Rafael 3 0,0 10406 Candelaria 3 0,0 10407 Desamparaditos 3 0,0 10605 Legua 3 0,0 10702 Guayabo 3 0,0 11003 San Antonio 3 0,0 11910 Río Nuevo 3 0,0 20403 Jesús María 3 0,0 20506 San José 3 0,0 20602 San Miguel 3 0,0 21102 Laguna 3 0,0 21103 Tapezco 3 0,0 21404 San Jorge 3 0,0 30403 Pejibaye 3 0,0 30508 Tayutic 3 0,0 40204 San Roque 3 0,0 50104 Nacascolo 3 0,0 50105 Curubandé 3 0,0 50205 Sámara 3 0,0 50305 Cartagena 3 0,0 50803 Tronadora 3 0,0 50806 Tierras Morenas 3 0,0 50903 Zapotal 3 0,0 60304 Boruca 3 0,0 60402 Unión 3 0,0 60503 Sierpe 3 0,0 10705 Picagres 2 0,0 keep going...

- 51 - Continuation of variable pcdocu

Value Label Cases Percentage

11601 San Pablo 2 0,0 11602 San Pedro 2 0,0 11604 San Luis 2 0,0 11909 Barú 2 0,0 12005 Santa Cruz 2 0,0 20507 Santa Eulalia 2 0,0 20903 Hacienda Vieja 2 0,0 20905 Ceiba 2 0,0 21105 Palmira 2 0,0 21107 Brisas 2 0,0 21306 Dos Ríos 2 0,0 30703 Potrero Cerrado 2 0,0 30705 Santa Rosa 2 0,0 40406 Purabá 2 0,0 50403 Mogote 2 0,0 50404 Río Naranjo 2 0,0 50804 Santa Rosa 2 0,0 51004 Santa Elena 2 0,0 51103 Puerto Carrillo 2 0,0 60107 Guacimal 2 0,0 60113 Chira 2 0,0 10503 San Carlos 1 0,0 10602 Tarbaca 1 0,0 10704 Piedras Negras 1 0,0 10906 Brasil 1 0,0 11605 Carara 1 0,0 11702 Jardín 1 0,0 12002 San Andrés 1 0,0 20212 Zapotal 1 0,0 21003 Buenavista 1 0,0 21010 Venado 1 0,0 21106 Zapote 1 0,0 21203 Toro Amarillo 1 0,0 30510 Tres Equis 1 0,0 30804 Patio de Agua 1 0,0 50207 Belén de Nosarita 1 0,0 50302 Bolsón 1 0,0 50602 Palmira 1 0,0 50605 Porozal 1 0,0 50702 Sierra 1 0,0 50703 San Juan 1 0,0 50805 Líbano 1 0,0 50905 Porvenir 1 0,0 60114 Acapulco 1 0,0 60205 San Jerónimo 1 0,0 60305 Pilas 1 0,0 60306 Colinas 1 0,0 60403 San Isidro 1 0,0 keep going...

- 52 - Continuation of variable pcdocu

Value Label Cases Percentage 10706 Jaris 0 0,0 10707 Quitirrisí 0 0,0 11912 La Amistad 0 0,0 20210 Volio 0 0,0 20404 Labrador 0 0,0 21104 Guadalupe 0 0,0 21308 Canalete 0 0,0 30503 Peralta 0 0,0 40105 Vara Blanca 0 0,0 41004 Llanuras de Gaspar 0 0,0 41005 Cureña 0 0,0 51102 Monte Romo 0 0,0 51104 Huacas 0 0,0 60110 Isla del Coco 0 0,0 60116 Arancibia 0 0,0 60206 Caldera 0 0,0 60506 Bahía Drake 0 0,0 60806 Gutiérrez Brown 0 0,0 70207 La Colonia 0 0,0

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 53 - # diadef: Day of death

Information [Type= discrete] [Format=numeric] [Range= 1-31] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the calendar day on which the death occurred.

Universe All the deaths that occurred and were registered nationwide in 2010.

An informant is the direct source. The informant can be any blood relative and/or relative-in-law of Source the deceased.

Literal question 10. Date of death, day

Interviewer's instructions Please enter the day of death into the corresponding text field.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage

01 625 3,3 19 077 02 563 3,0 03 634 3,3 04 621 3,3 05 658 3,4 06 570 3,0 07 599 3,1 08 614 3,2 09 616 3,2 10 659 3,5 11 594 3,1 12 620 3,2 13 663 3,5 14 618 3,2 15 661 3,5 16 642 3,4 17 630 3,3 18 678 3,6 19 622 3,3 20 637 3,3 21 674 3,5 22 653 3,4 23 656 3,4 24 601 3,2 25 655 3,4 26 566 3,0 27 607 3,2 28 636 3,3 29 538 2,8 30 598 3,1 31 369 1,9 - 54 -

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of in te re s t.

# mesdef: Month of death

Information [Type= discrete] [Format=numeric] [Range= 1-12] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the calendar month on which the death occurred.

Universe All the deaths that occurred and were registered nationwide in 2010. An informant is the direct source. The informant can be any blood relative and/or Source relative-in-law of the deceased. Literal question 10. Date of death, month

Interviewer's instructions Please enter the month of death into the corresponding text field.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 1 Enero 1 643 8,6 2 Febrero 1 461 7,7 3 Marzo 1 577 8,3 4 Abril 1 504 7,9 5 Mayo 1 594 8,4 6 Junio 1 551 8,1 7 Julio 1 602 8,4 8 Agosto 1 712 9,0 9 Setiembre 1 566 8,2 10 Octubre 1 646 8,6 11 Noviembre 1 555 8,2 12 Diciembre 1 666 8,7

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 55 - # anodef: Year of death

Information [Type= discrete] [Format=numeric] [Range= 2001-2010] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the calendar year on which the death occurred.

Universe All the deaths that occurred and were registered nationwide in 2010.

An informant is the direct source. The informant can be any blood relative and/or relative-in-law of Source the deceased. Literal question 10. Date of death, year

Interviewer's instructions Please enter the year of death into the corresponding text field.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage

2001 8 0,0 2002 13 0,1 2003 5 0,0 2004 14 0,1 2005 12 0,1 2006 9 0,0 2007 16 0,1 2008 21 0,1 2009 221 1,2 2010 18 758 98,3

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of in te re s t.

- 56 - # ocupacion: Last occupation

Information [Type= continuous] [Format=numeric] [Range= 11-99] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Refers to the last occupation or profession of the deceased. The codes are assigned according to the International Standard Classification of Occupations (ISCO) of the ILO Definition from the year 2000. This variable consists of two digits. The deaths of persons who were not part of the economically active population are also included.

Universe All the deaths that occurred and were registered nationwide in 2010. An informant is the direct source. The informant can be any blood relative and/or Source relative-in-law of the deceased.

Literal question 11) Occupation:

This text field specifies the last occupation of the deceased and is comprised a two-digit number in accordance with the list established by the ILO. If the description of the Interviewer's instructions profession or occupation does not appear on the list, enter a value of “98”, which corresponds to unlisted occupations; if the profession or occupation is unknown, or if the text box is left blank, enter a value of “99”, which corresponds to unknown occupations.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 57 - # ocuparec: Last occupation in groups

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

This refers to the last occupation of the deceased according to the grouping of the International Definition Standard Classification of Occupations, which includes those cases in which the deceased person did not have an occupation at the moment of death.

Universe All the deaths that occurred and were registered nationwide in 2010.

Source Does not apply. This variable is obtained from other variables.

Literal question There is no question specifically assigned to this variable in the questionnaire.

This value of this variable is derived of the “occupation” variable included in this database. Please Interviewer's instructions assign the variable a value according to the grouping set forth by the International Standard Classification of Occupations.

Imputation No imputation required. According to the occupational groups set forth by the International Standard Classification of Recoding and Derivation Occupations. Security All public use variables are included in this database.

Value Label Cases Percentage

Nivel directivo de la administración 1 18 0,1 pública y de las empresas privadas

Nivel profesional, científico e 2 437 2,3 intelectual

3 Nivel técnico o profesional medio 528 2,8

4 Apoyo administrativo 143 0,7

Venta de locales y de prestación de 5 1 143 6,0 servicios directos a personas

Ocupaciones calificadas 6 agropecuarias, agrícolas y 1 431 7,5 pesqueras

Ocupaciones calificadas de la producción artesanal, la 7 construcción, la mecánica y artes 734 3,8 mecánicas, las artes gráficas y la industria manufacturera

Ocupaciones de montaje y de 8 operación de instalaciones y 489 2,6 máquinas

9 Ocupaciones no calificadas 948 5,0

84 Estudiante 245 1,3

85 Del hogar 5 147 27,0

86 Persona pensionada 4 373 22,9

87 Persona con discapacidad 2 478 13,0

98 Ocupaciones no especificadas 79 0,4

99 Ocupaciones ignoradas 884 4,6

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 58 - # mesemb: Months of pregnancy of the mother for deaths of children less than 1 year old

Information [Type= discrete] [Format=numeric] [Range= 0-9] [Missing=*/1/0]

Statistics [NW/ W] [Valid=81 /-] [Invalid=18996 /-] This variable corresponds to the death of children less than 1 year old, and refers to the number of months that the mother was pregnant with the child who later died. For deaths Definition of children a year and older, the variable is marked with an asterisk signifying that it does not apply. Although this is a largely unknown variable, it is considered important to continue studying it to see its evolution over time. Universe All the deaths that occurred and were registered nationwide in 2010.

An informant is the direct source. The informant can be any blood relative and/or Source relative-in-law of the deceased.

Literal question 8. Number of months of pregnancy. This variable is only for the death of children less than 1 year old, and corresponds to the Interviewer's instructions number of months that the mother was pregnant with the child who later died. Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 6 33 0,2 5 16 0,1 7 12 0,1 9 10 0,1 8 10 0,1

Does not apply because child is 1 year or 1 18 406 96,5 older

0 Unknown 590 3,1

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 59 - # nacmadre: Nationality of the mother for deaths of children less than 1 year old

Information [Type= discrete] [Format=numeric] [Range= 0-999] [Missing=*/999/888]

Statistics [NW/ W] [Valid=624 /-] [Invalid=18453 /-] This variable corresponds to the death of children less than 1 year old, and refers to the Definition nationality of the mother of the deceased child. Universe All the deaths that occurred and were registered nationwide in 2010. An informant is the direct source. The informant can be any blood relative and/or Source relative-in-law of the deceased. Literal question 14. Data about the mother, nationality If the mother is Costa Rican, this value of “000” is entered; otherwise, the value is Interviewer's instructions determined by the established list of countries. Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 0 Costa Rica 520 2,7 558 Nicaragua 90 0,1 591 Panama 7 0,1 170 Colombia 3 0,1 484 Mexico 1 0,1 320 Guatemala 1 96,5 250 France 1 156 China 1

888 Does not apply because child is 1 18 405 3,1 year or older 999 Unknown 48 3,1

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 60 - # provregis: Province of registration

Information [Type= discrete] [Format=numeric] [Range= 1-7] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the province where the death was registered.

Universe All the deaths that occurred and were registered nationwide in 2010.

Source Does not apply. This variable is obtained from other variables.

Literal question 17. Province

Please enter value of the province where the death was registered in accordance with the Interviewer's instructions Administrative Division of Territories Manual.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage

1 San Jose 7 721 40,5 2 Alajuela 2 544 13,3 3 Cartago 1 415 7,4 4 Heredia 4 171 21,9 5 Guanacaste 1 216 6,4 6 Puntarenas 1 162 6,1 7 Limon 848 4,4

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 61 - # pcregis: Canton of registration

Information [Type= continuous] [Format=numeric] [Range= 101-706] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the canton where the death was registered.

Universe All the deaths that occurred and were registered nationwide in 2010.

Source Does not apply. This variable is obtained from other variables.

Literal question 17. Canton

Please assign this variable the code that it corresponds in accordance with the current Administrative Division of Territories (INEC’s Administrative Division of Territories Manual – DTA Interviewer's instructions as per its acronym in Spanish). This variable is comprised of a 1-digit number and a 2-digit number; the former being the province and the latter the canton of registration.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 101 San José 5 754 30,2 408 Flores 3 133 16,4 301 Cartago 1 017 5,3 201 Alajuela 991 5,2 401 Heredia 862 4,5 601 Puntarenas 609 3,2 119 Pérez Zeledón 578 3,0 501 Liberia 567 3,0 210 San Carlos 452 2,4 701 Limón 426 2,2 202 San Ramón 400 2,1 502 Nicoya 372 1,9 702 Pococí 323 1,7 103 Desamparados 286 1,5 203 Grecia 269 1,4 305 Turrialba 252 1,3 108 Goicoechea 190 1,0 115 Montes de Oca 171 0,9 113 Tibás 119 0,6 503 Santa Cruz 113 0,6 608 Coto Brus 104 0,5 610 Corredores 102 0,5 606 Aguirre 100 0,5 111 Vázquez de Coronado 98 0,5 607 Golfito 97 0,5 102 Escazú 92 0,5 206 Naranjo 83 0,4 506 Cañas 82 0,4 104 Puriscal 81 0,4 105 Tarrazú 79 0,4 keep going...

- 62 - Continuation of variable pcregis

Value Label Cases Percentage

303 La Union 79 0,4 703 Siquirres 73 0,4 205 Atenas 69 0,4 106 Aserrí 67 0,4 605 Osa 64 0,3 110 Alajuelita 62 0,3 213 Upala 57 0,3 208 Poás 46 0,2 214 Los Chiles 45 0,2 118 Curridabat 43 0,2 109 Santa Ana 39 0,2 603 Buenos Aires 38 0,2 602 Esparza 37 0,2 407 Belén 36 0,2 209 Orotina 34 0,2 402 Barva 34 0,2 302 Paraíso 33 0,2 112 Acosta 32 0,2 211 Alfaro Ruíz 32 0,2 505 Carrillo 31 0,2 508 Tilarán 31 0,2 215 Guatuso 30 0,2 212 Valverde Vega 28 0,1 403 Santo Domingo 26 0,1 404 Santa Bárbara 25 0,1 406 San Isidro 20 0,1 107 Mora 19 0,1 307 Oreamuno 17 0,1 306 Alvarado 16 0,1 410 Sarapiquí 16 0,1 405 San Rafael 13 0,1 704 Talamanca 13 0,1 705 Matina 13 0,1 509 Nandayure 10 0,1 507 Abangares 8 0,0 611 Garabito 7 0,0 207 Palmares 6 0,0 409 San Pablo 6 0,0 114 Moravia 4 0,0 117 Dota 4 0,0 604 Montes de Oro 4 0,0 116 Turrubares 3 0,0 204 San Mateo 2 0,0 511 Hojancha 2 0,0 308 El Guarco 1 0,0 120 León Cortés 0 0,0 304 Jiménez 0 0,0 504 Bagaces 0 0,0 510 La Cruz 0 0,0 609 Parrita 0 0,0

706 Guácimo 0 0,0 - 63 -

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # pcdregis: District of registration

Information [Type= continuous] [Format=numeric] [Range= 10101-70605] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the district where the death was registered.

Universe All the deaths that occurred and were registered nationwide in 2010.

Source Does not apply. This variable is obtained from other variables.

Literal question 17. District

Please assign this variable the code that it corresponds in accordance with the current Administrative Division of Territories (INEC’s Administrative Division of Territories Manual – DTA Interviewer's instructions as per its acronym in Spanish). This variable is comprised of a 1-digit number and two 2-digit number; the 1-digit number being the province, the following 2-digit number being the canton, and the last 2-digit number being the district of registration.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 40801 San Joaquín 3 132 16,4 10103 Hospital 2 791 14,6 10101 Carmen 1 734 9,1 10107 Uruca 1 073 5,6 30101 Oriental 1 011 5,3 20101 Alajuela 954 5,0 40101 Heredia 836 4,4 11901 San Isidro de El General 578 3,0 50101 Liberia 567 3,0 21001 Quesada 443 2,3 70101 Limón 422 2,2 60115 El Roble 420 2,2 50201 Nicoya 372 1,9 70201 Guápiles 323 1,7 20301 Grecia 264 1,4 30501 Turrialba 251 1,3 20203 San Juan 236 1,2 10301 Desamparados 186 1,0 11501 San Pedro 171 0,9 20201 San Ramón 164 0,9 10801 Guadalupe 158 0,8 60101 Puntarenas 151 0,8 11301 San Juan 118 0,6 50301 Santa Cruz 113 0,6 60801 San Vito 104 0,5 60601 Quepos 100 0,5 61001 Corredores 98 0,5 11101 San Isidro 97 0,5 60701 Golfito 97 0,5 10311 San Rafael Abajo 88 0,5 20601 Naranjo 83 0,4 keep going...

- 64 - Continuation of variable pcdregis

Value Label Cases Percentage

50601 Cañas 82 0,4 10401 Santiago 80 0,4 10501 San Marcos 79 0,4 30301 Tres Ríos 78 0,4 70301 Siquirres 73 0,4 20501 Atenas 69 0,4 10601 Aserrí 67 0,4 60501 Puerto Cortés 59 0,3 11001 Alajuelita 58 0,3 21301 Upala 57 0,3 10201 Escazú 56 0,3 20801 San Pedro 46 0,2 10104 Catedral 45 0,2 21401 Los Chiles 45 0,2 11801 Curridabat 43 0,2 10901 Santa Ana 39 0,2 60301 Buenos Aires 38 0,2 60201 Espíritu Santo 37 0,2 10203 San Rafael 36 0,2 40701 San Antonio 36 0,2 20901 Orotina 34 0,2 40201 Barva 34 0,2 10111 San Sebastián 32 0,2 11201 San Ignacio 32 0,2 21101 Zarcero 32 0,2 30201 Paraíso 32 0,2 10110 Hatillo 31 0,2 50801 Tilarán 31 0,2 10803 Calle Blancos 30 0,2 21501 San Rafael 30 0,2 50501 Filadelfia 30 0,2 21201 Sarchí Norte 28 0,1 10109 Pavas 27 0,1 40104 Ulloa 26 0,1 40301 Santo Domingo 25 0,1 40401 Santa Bárbara 24 0,1 60104 Lepanto 24 0,1 40601 San Isidro 20 0,1 10701 Colón 19 0,1 30701 San Rafael 17 0,1 30601 Pacayas 16 0,1 41001 Puerto Viejo 16 0,1 10105 Zapote 15 0,1 40501 San Rafael 13 0,1 20105 Guácima 12 0,1 70401 Bratsi 12 0,1 70501 Matina 11 0,1 50901 Carmona 10 0,1 60103 Chomes 10 0,1 10306 Frailes 9 0,0

keep going... - 65 -

Continuation of variable pcdregis

Value Label Cases Percentage 21004 Aguas Zarcas 8 0,0 50701 Juntas 8 0,0 20102 San José 7 0,0 61101 Jacó 7 0,0 10106 San Francisco de Dos Ríos 6 0,0 20108 San Rafael 6 0,0 20112 Tambor 6 0,0 20701 Palmares 6 0,0 40901 San Pablo 6 0,0 20302 San Isidro 5 0,0 11401 San Vicente 4 0,0 11701 Santa María 4 0,0 30108 Tierra Blanca 4 0,0 60401 Miramar 4 0,0 60502 Palmar 4 0,0 61002 La Cuesta 4 0,0 70102 Valle La Estrella 4 0,0 11003 San Antonio 3 0,0 10307 Patarrá 2 0,0 10805 Ipís 2 0,0 11601 San Pablo 2 0,0 20104 San Antonio 2 0,0 20401 San Mateo 2 0,0 51101 Hojancha 2 0,0 60105 Paquera 2 0,0 70502 Batán 2 0,0 10302 San Miguel 1 0,0 10409 Chires 1 0,0 11005 San Felipe 1 0,0 11104 Patalillo 1 0,0 11304 León XIII 1 0,0 11603 San Juan de Mata 1 0,0 20110 Desamparados 1 0,0 20111 Turrúcares 1 0,0 20113 Garita 1 0,0 20114 Sarapiquí 1 0,0 21010 Venado 1 0,0 30104 San Nicolás 1 0,0 30110 Llano Grande 1 0,0 30203 Orosi 1 0,0 30304 San Rafael 1 0,0 30510 Tres Equis 1 0,0 30801 Tejar 1 0,0 40306 Santa Rosa 1 0,0 40404 Jesús 1 0,0 40802 Barrantes 1 0,0 50504 Belén 1 0,0 60106 Manzanillo 1 0,0 60108 Barranca 1 0,0 60505 Piedras Blancas 1 0,0 70403 Cahuita 1 0,0 - 66 -

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# diadef: Day of declaration

Information [Type= discrete] [Format=numeric] [Range= 1-31] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the day the death was declared.

Universe All the deaths that occurred and were registered nationwide in 2010.

An informant is the direct source. The informant can be any blood relative and/or relative-in-law of Source the deceased.

Literal question 18. Date of this declaration, day

The day of declaration must be on or later than the date of death. This variable is comprised of a 2- Interviewer's instructions digit number that corresponds to the day the death was declared. In the event that this date is not indicated on the Certificate, enter the date of death.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage

01 639 3,3 19 077 02 537 2,8 03 602 3,2 04 674 3,5 05 665 3,5 06 616 3,2 07 602 3,2 08 656 3,4 09 649 3,4 10 610 3,2 11 652 3,4 12 588 3,1 13 632 3,3 14 599 3,1 15 660 3,5 16 670 3,5 17 654 3,4 18 610 3,2 19 669 3,5 20 627 3,3 21 689 3,6 22 704 3,7 23 629 3,3 24 605 3,2 25 608 3,2 26 600 3,1 27 579 3,0 28 611 3,2 29 539 2,8 30 551 2,9 31 351 1,8 - 67 -

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of in te re s t. # mesdef: Month of declaration

Information [Type= discrete] [Format=numeric] [Range= 1-12] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the calendar month when the death was declared.

Universe All the deaths that occurred and were registered nationwide in 2010. An informant is the direct source. The informant can be any blood relative and/or Source relative-in-law of the deceased. Literal question 18. Date of this declaration, month

Interviewer's instructions Specifies the month the death was declared.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 1 Enero 1 663 8,7 2 Febrero 1 460 7,7 3 Marzo 1 581 8,3 4 Abril 1 542 8,1 5 Mayo 1 588 8,3 6 Junio 1 569 8,2 7 Julio 1 569 8,2 8 Agosto 1 716 9,0 9 Setiembre 1 571 8,2 10 Octubre 1 607 8,4 11 Noviembre 1 595 8,4 12 Diciembre 1 616 8,5

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 68 - # anodef: Year of declaration

Information [Type= discrete] [Format=numeric] [Range= 2001-2010] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Definition Refers to the calendar year when the death was declared.

Universe All the deaths that occurred and were registered nationwide in 2010. An informant is the direct source. The informant can be any blood relative and/or Source relative-in-law of the deceased. Literal question 18. Date of this declaration, year

Interviewer's instructions Specifies the year the death was declared.

Imputation No imputation required.

Recoding and Derivation Simple variable; no recoding required.

Security All public use variables are included in this database.

Value Label Cases Percentage 2010 19 053 99,9 2009 24 0,1

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 69 - # g17: Seventeen cause of death groupings

Information [Type= discrete] [Format=numeric] [Range= 1-17] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

In accordance with the grouping of distinct causes of death into large groups. For more details, see Definition the list of the 17 groups in the reference materials.

Universe All the deaths that occurred and were registered nationwide in 2010.

Source Does not apply. It is a recoding variable.

Literal question There is no question specifically assigned to this variable in the questionnaire.

Interviewer's instructions This variable is the grouping of distinct causes of death into 17 large groups.

Imputation No imputation required.

This variable corresponds to the 17 chapters of the tenth edition of the International Statistical Recoding and Derivation Classification of Diseases and Related Health Problems (ICD-10).

Security All public use variables are included in this database.

Value Label Cases Percentage

01 Infectious and parasitic diseases. 386 2,0

02 Tumors (neoplasms). 4 486 23,5

Endocrine, nutritional and metabolic 03 878 4,6 diseases. Diseases of blood and hematopoietic organs and certain 04 58 0,3 disorders affecting the mechanism of immunity

05 Mental and behavioral disorders. 187 1,0

Diseases that affect the nervous system and the sense organs (the 06 517 2,7 eye and other neighboring organs, the ear and the mastoid process). Diseases that affect the circulatory 07 5 632 29,5 system. Diseases that affect the respiratory 08 1 725 9,0 system. Diseases that affect the digestive 09 1 375 7,2 system. Diseases that affect the 10 535 2,8 genitourinary system. Pregnancy, childbirth and 11 16 0,1 postpartum complications. Diseases that affect the skin and the 12 79 0,4 subcutaneous tissue. Diseases that affect the 13 musculoskeletal system and the 160 0,8 connective tissue. Congenital malformations, 14 deformations and chromosomal 287 1,5 abnormalities. Conditions originating in the 15 331 1,7 perinatal period. Abnormal clinical and laboratory 16 signs, symptoms and findings that 167 0,9 have yet to be classified elsewhere. External causes of morbidity and 17 2 258 11,8 mortality.

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 70 - # g63: Sixty-two cause of death groupings

Information [Type= discrete] [Format=numeric] [Range= 1-63] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-] In accordance with the grouping of distinct causes of death into large groups. For more Definition details, see the list of the 63 groups in the reference materials. Universe All the deaths that occurred and were registered nationwide in 2010.

Source Does not apply. It is a recoding variable.

Literal question There is no question specifically assigned to this variable in the questionnaire.

Interviewer's instructions This variable is the grouping of distinct causes of death into 63 groups.

Imputation No imputation required. This variable corresponds to the 63 groups of the tenth edition of the International Recoding and Derivation Statistical Classification of Diseases and Related Health Problems (ICD-10). Security All public use variables are included in this database.

Value Label Cases Percentage 1 Infectious intestinal diseases 79 0,4 2 Tuberculosis 42 0,2 3 Certain bacterial zoonoses and other bacterial diseases 58 0,3

4 Certain viral diseases and infections, poliomyelitis and arthropods 7 0,0

5 Rickettsiosis and other diseases transmitted by arthropods 4 0,0 6 Venereal diseases 156 0,8 Mycosis, diseases caused by spirochaetes, helminthiasis, 7 9 0,0 pediculosis, acariasis and other infestations Other infectious or parasitic diseases, and the long-term effects of 8 23 0,1 these diseases 9 Malignant tumor of the lip, buccal cavity and the pharynx 53 0,3 10 Malignant tumor of the digestive organs 1 573 8,2 11 Malignant tumor of the respiratory and intrathoracic organs 340 1,8 Malignant tumor of the bones, connective tissue, soft tissue, skin 12 462 2,4 or mammary glands 13 Malignant tumor of the genitourinary organs 849 4,5 Malignant tumor of the eye, brain, thyroid gland and other 14 132 0,7 endocrine glands 15 Malignant tumor in another place not previously mentioned 295 1,5 Malignant tumor of the lymphatic tissue, hematopoietic organs or 16 551 2,9 several independent places 17 Benign tumors 0 0,0 18 Carcinoma in situ 28 0,1 19 Other tumors and those of an unspecified nature 203 1,1 Diseases of the endocrine glands, the metabolism, and immune 20 833 4,4 system disorders 21 Malnutrition 45 0,2 22 Diseases of the blood and hematopoietic organs 58 0,3 23 Mental disorders 187 1,0 24 Diseases of the nervous system and viral infections 525 2,8 25 Disorders of the eye and its appendages 0 0,0 26 Diseases of the ear and the mastoid process 0 0,0 27 Rheumatic fever and other rheumatic heart diseases 52 0,3 28 Diseases related to hypertension 771 4,0 29 Ischemic heart disease 2 594 13,6

30 Diseases of pulmonary circulation and other forms of heart disease 737 3,9

31 Cerebrovascular, arterial and veinal diseases 1 462 7,7 32 Other circulatory system diseases 16 0,1 Diseases of the upper and lower respiratory tracts, the lungs, 33 1 603 8,4 influenza and pneumonia 34 Other diseases of the respiratory tract and the pleura 122 0,6 35 Diseases of the buccal cavity, the salivary glands and the jaw 0 0,0 36 Diseases of the esophagus, appendix and hernias 128 0,7 Non-infectious enteritis and colitis, diseases of the peritoneum, 37 1 144 6,0 liver, gallbladder and intestines 38 Diseases of other parts of the digestive system 103 0,5 39 Diseases of the urinary system and mammary glands 514 2,7 40 Diseases of the masculine genital organs 16 0,1 41 Diseases of the feminine genital organs 5 0,0

keep going... - 71 -

Continuation of variable g63

Value Label Cases Percentage 42 Abortion 0 0,0 43 Direct obstetrical causes 9 0,0 44 Indirect obstetrical causes 7 0,0 45 Normal childbirth 0 0,0 46 Diseases of the skin and subcutaneous tissue 79 0,4 47 Diseases of the musculoskeletal system and connective tissue 160 0,8 48 Congenital abnormalities 287 1,5 49 Certain conditions resulting from the prenatal period 331 1,7 50 Incorrectly defined signs, symptoms and morbid states 167 0,9 51 Transportation accidents 609 3,2 52 Accidental poisoning 52 0,3 Complications during medical attention, abnormal reactions and 53 46 0,2 posterior complications 54 Accidental falls 83 0,4 Exposure to animate and inanimate mechanical forces, drowning 55 165 0,9 by accidental submersion, and other causes Traumatic contact with animals, natural forces, excessive physical 56 358 1,9 exertion, exposure to other factors Accidents caused by fire, electricity, radiation, heat and hot 57 55 0,3 substances 58 Other accidents, including their eventual effects 15 0,1 Drugs and medications that cause adverse effects in their 59 3 0,0 therapeutic use 60 Suicide and self-inflicted injuries 311 1,6

61 Homicide and injuries intentionally inflicted by another person 483 2,5

62 Other violent acts or causes not classified above 78 0,4

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 72 - # reginec: Regionalization of the Mideplan

Information [Type= discrete] [Format=numeric] [Range= 1-6] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-]

Corresponds to the division of the country into six Planning Regions, established by the Definition Ministry of Planning in 1979.

Universe All the deaths that occurred and were registered nationwide in 2010.

Source Does not apply. It is a recoding variable.

Literal question There is no question specifically assigned to this variable in the questionnaire

This variable is constructed by grouping together the cantons that comprise each one of Interviewer's instructions the planning regions used by the INEC. The cantons that are used are those that were the primary residences of the deceased persons.

Imputation No imputation required.

This variable consists in the following groupings, according to the country’s cantons.

● Central Region: San José, Escazú, Desamparados, Puriscal, Tarrazú, Aserrí, Mora, Goicoechea, Santa Ana, Alajuelita, Vásquez de Coronado, Acosta, Tibás, Moravia, Montes de Oca, Turrubares, Dota, Curridabat, León Cortés, Alajuela (except the Sarapiquí district), San Ramón (except the Peñas Blancas district), Grecia (except the Río Cuarto district), Atenas, Naranjo, Palmares, Poás, Alfaro Ruíz, Valverde Vega, Cartago, Paraíso, La Unión, Jiménez, Turrialba, Alvarado, Oreamuno, El Guarco, Heredia, Barva, Santo Domingo, Santa Bárbara, San Rafael, San Isidro, Belén, Flores, San Pablo.

● Chorotega Region: Upala, Liberia, Nicoya, Santa Cruz, Bagaces, Carrillo, Cañas, Abangares, Tilarán, Nandayure, La Cruz, Hojancha. Recoding and Derivation

● Central Pacific Region: San Mateo, Orotina, Puntarenas, Esparza, Montes de Oro, Aguirre, Parrita and Garabito.

● Brunca Region: Pérez Zeledón, Buenos Aires, Osa, Golfito, Coto Brus and Corredores.

● Atlantic Huetar Region: Limón, Pococí, Siquirres, Talamanca, Matina, Guácimo and the Horquetas District.

● North Huetar Region: San Carlos, Los Chiles, Guatuso and the district of Sarapiquí, in the canton of Alajuela; The district Río Cuarto of the canton of Greece and the district San Isidro of Peñas Blancas of the canton of San Ramón.

Security All public use variables are included in this database.

Value Label Cases Percentage 1 Central 12 501 65,5 2 Chorotega 1 704 8,9 3 Central Pacific 1 139 6,0 4 Brunca 1 415 7,4 5 Atlantic Huetar 1 511 7,9 6 North Huetar 807 4,2

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 73 - # regsalud: Regionalization of the Ministry of Health

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=19077 /-] [Invalid=0 /-] Corresponds to the division of the country into six Planning Regions, established by the Definition Ministry of Planning in 1979. Universe All the deaths that occurred and were registered nationwide in 2010.

Source Does not apply. It is a recoding variable.

Literal question There is no question specifically assigned to this variable in the questionnaire.

This variable is constructed by grouping together the cantons that comprise each one of Interviewer's instructions the planning regions used by the INEC. The cantons that are used are those that were the primary residences of the deceased persons.

Imputation No imputation required. This variable consists in the following groupings, according to the country’s cantons.

● South Central Region: San José, Escazú, Desamparados, Puriscal, Aserrí, Mora, Goicoechea, Santa Ana, Alajuelita, Vásquez de Coronado, Acosta, Tibás, Moravia, Montes de Oca, Turrubares, Curridabat and the districts of San Ramón and Río Azul, both within La Unión canton.

● East Central Region: Tarrazú, Dota, León Cortés, Cartago, Paraíso, La Unión (except the districts of San Ramón and Río Azul), Jiménez, Turrialba, Alvarado, Oreamuno, El Guarco.

● North Central Region: Alajuela, Grecia, Atenas, Naranjo, Palmares, Poás, Valverde Vega, Heredia, Barva, Santo Domingo, Santa Bárbara, San Rafael, San Isidro, Belén, Flores, San Pablo and Sarapiquí. Recoding and Derivation

● West Central Region: San Ramón, Palmares, Alfaro Ruíz.

● North Huetar Region: San Carlos, Los Chiles and Guatuso.

● Atlantic Huetar Region: Limón, Pococí, Siquirres, Talamanca, Matina and Guácimo.

● Central Pacific Region: San Mateo, Orotina, Puntarenas, Esparza, Montes de Oro, Aguirre, Parrita and Garabito.

● Chorotega Region: Upala, Liberia, Nicoya, Santa Cruz, Bagaces, Carrillo, Cañas, Abangares, Tilarán, Nandayure, La Cruz, Hojancha.

● Brunca Region: Pérez Zeledón, Buenos Aires, Osa, Golfito, Coto Brus, Corredores. Security All public use variables are included in this database.

Value Label Cases Percentage 1 South Central 6 356 33,3 2 East Central 2 022 10,6 3 North Central 3 472 18,2 4 West Central 838 4,4 5 North Huetar 683 3,6 6 Atlantic Huetar 1 448 7,6 7 Central Pacific 1 139 6,0 8 Chorotega 1 704 8,9 9 Brunca 1 415 7,4

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of

int e re s t . - 74 -