sign in sign up
<<
Home , Andarab District, Azra District, Bamyan Province, Barmal District, Bar Kunar District, Charkh District

AFGHANISTAN NATIONAL LIVESTOCK CENSUS 2003

INTERIM REPORT OSRO/AFG/212/ITA

AFGHANISTAN

NATIONAL LIVESTOCK CENSUS 2003

INTERIM REPORT

FOOD AND AGRICULTURE ORGANIZATION OF THE Contents

Acknowledgements iii Executive summary iv Background v

ACTIVITIES 1 ■ Organization and planning 1 ■ Recruitment and training 2 ■ Data collection 2 ■ Data entry and checking 3 ■ Data analysis 3 ■ Results 4 ■ 4

VILLAGES, COMMUNITIES AND FAMILIES 6 LIVESTOCK NUMBERS 8 HERD STRUCTURES 14 ■ Female cattle older than two years 14 ■ Young stock 16 ■ Cattle 16 ■ Smallstock 16 ■ Draft animals 18

CHANGES IN NUMBER OF FAMILIES OWNING LIVESTOCK 20 DISCUSSION 22 APPENDICES 1. Explanation of comparisons between the official list (Afghanistan Ministry of the Interior), 2003, AIMS 2001 and the FAO Livestock Census field data, 2003

2. Total livestock on a district basis

3. Adult cows on a district basis

4. Young stock on a district basis Acknowledgements

This work was only possible thanks to the help of many diverse groups including the Government of Italy through the Italian Cooperation Fund, the Afghanistan Ministry of Agriculture and Animal Husbandry (MAAH), the Afghanistan Ministry of Interior (MoI), the Central Statistical Office (CSO) in , the Dutch Committee for Afghanistan, Oxfam (UK) and the University of Kabul.

Assistance and cooperation was gratefully received from many staff in the MAAH including Mr Jawat, Deputy Minister of MAAH, Dr Hanif, General President of Animal Husbandry, and Dr Raufi, General President of Veterinary Services. Supervision of fieldwork would not have been possible without the enthusiastic support of many staff from the MAAH, the Emergency Operations and Rehabilitation Division (TCE) of FAO, the University of Kabul, the Dutch Committee for Afghanistan and Oxfam UK. Fieldwork was dependant upon the conscientious attention of almost 900 staff, mainly from Veterinary Field Units who visited villages and collected the data.

A concentrated period of data entry and checking was undertaken by a small group of hard working young staff. Clarification of district names and locations was undertaken with assistance from the MoI, the CSO and Dr Pinney from the Afghanistan Ministry of Reconstruction and Rural Development.

Assistance from UN personnel across diverse projects in Afghanistan and Rome is acknowledged, including particularly Dr Thieme, Dr Majok, Dr Favre, Dr Crowley, Mr Mack and Mr Miagostovich.

The project in Afghanistan was managed and the final report written by Dr Len Reynolds. Dr Habib Narwos was Assistant Manager in Afghanistan. Data analysis was undertaken by Dr Wolfgang Pittroff of the University of California, Davis, and Prof Fred Dham of Texas A and M University.

This report is produced thanks to the dedication of all the above. The authors believe that it justifies all the hard work of the participants and will provide a baseline upon which future livestock development can be built. iv

Executive summary

• After the end of a four-year drought and a period of insecurity in Afghanistan, the numbers of livestock were reported to have fallen dramatically since previous estimates were made. In early 2002, the Ministry of Agriculture and Animal Husbandry [MAAH] of the Transitorial Administration of Afghanistan requested FAO to organize a national livestock census.

• The work started in Afghanistan in October 2002 with funding from the Italian Government, and fieldwork was completed by April 2003. Every village in Afghanistan was visited, with the exception of in due to insecurity, and parts of due to inaccessibility over the winter period.

• A team of 28 supervisors, 24 women surveyors and 821 enumerators were employed for data collection, and 14 data entry personnel and 10 data checkers undertook data entry and checking. This was all overseen by a Census Manager and an Assistant Census Manager.

• Basic data (Level I) covering livestock numbers, herd structures and changes in ownership as a result of the drought were collected at the community level from every village in Afghanistan (with the above exceptions). Production system data (Level II) was collected by supervisors from selected households in randomly selected villages. A women’s survey covering production systems and women’s attitudes to livestock was collected from women in selected households, in randomly selected villages.

• The collected data covered 3 044 670 families in 53 214 communities across 36 724 villages.

• There were a total of 3.72 million cattle, 8.77 million sheep, 7.28 million goats, 1.59 million donkeys, 0.18 million camels, 0.14 million horses and 12.16 million poultry.

• The number of cows kept per family was low, with only , Kunar, Laghman and reporting more than 1.5 cows per family. The data on calves suggests that in many areas, restocking of depleted cattle herds would not be possible at the current reproduction rates.

• Similarly reported numbers of young sheep and goats appear low in many areas, and rebuilding of herds will be slow to achieve.

• The numbers of families without livestock have increased as a result of the drought from 4 families to 14.4 families per community. However, at the same time, numbers of family per community has increased.

• There was no pre-drought livestock census data against which direct comparisons could be made. However, earlier survey results combined with the information from the present Livestock Census indicate that stock holding per family has decreased sharply over the period.

• When analysis of Level II and the Women’s Surveys is completed, further interpretation of the Level I data will be undertaken. v

Background

ivestock plays a fundamental role in Afghan agriculture, but existing information on the numbers of animals in the country and their distribution predates a four-year drought and L nationwide disruption. It is said that animal numbers have fallen sharply since earlier surveys in 1995 and 1998, but there are no statistics to substantiate the claim. Farmers are aware of the need to vaccinate their animals against diseases, but animal numbers are required for planning veterinary campaigns. Reliable statistics are also required to provide the basic information to prepare livestock development activities. However, to formulate plans we need to know the starting point as well as our end target position. A livestock census provides the basic data required for livestock development activities.

In 2002 the Italian Government agreed to contribute funds for the agricultural subsectors of the Intermediate and Transitional Assistance for the Afghan people (ITAP), including the provision of funds for the National Livestock Census. vi 1

Activities

■ ORGANIZATION AND PLANNING

The National Livestock Census started in Afghanistan in September 2002 with the arrival of an external consultant and the Livestock Census Manager. The consultant was responsible for the design of census survey forms in consultation with the Census Manager. A basic form (Level I Livestock Census) was drawn up covering ruminants and monogastric animals including poultry, to determine livestock numbers and herd breakdown by age and sex (Appendix 1). Level I was designed to be conducted by enumerators on every village in Afghanistan, or on component communities within large villages. A second census form (Level II Survey), to be administered by the Supervisors, covered details of production and marketing systems (Appendix II). The Level II form was more detailed and designed to be administered to individual households in randomly selected districts, villages and households. A further survey, the Women’s Survey, was administered by female enumerators to women livestock keepers, selected randomly in selected districts (Appendix III). Work plans were drawn up by early October 2002, with the aim of completing data collection before livestock moved out of their winter quarters with the onset on spring weather. The start of fieldwork was divided so that provinces with predominantly mountainous areas, where winter conditions would hinder the movement of the data collectors, would start earlier than lower altitude provinces. Two levels of management were established. The Census Manager and the Assistant Manager based in Kabul were responsible for the nationwide management of activities. Supervisors covering two to three provinces provided the second management level, with Data Collectors (field staff) based in each district who were responsible for visiting all villages in their district and collecting information on animal numbers. A national database kept by the Afghanistan Information Management System (AIMS) administered under the United Nations Development Programme (UNDP) provided a list of provinces, districts and villages. Afghanistan comprised 32 provinces, 329 districts and 30 172 villages. Provinces varied from 4 districts (Saripul) to 22 (Nangarhar). Rural districts varied from 4 villages ( in ) to 620 (Daykundi in ). Based on population estimates from AIMS, and assuming 7 persons per family, village sizes varied from 6 families per village in the Wormamay District (Paktika Province) to 3 016 families in the Andkhoy District (Faryab Province). However, much of the village data was derived from information compiled in the 1970s. The AIMS material was taken as the planning base for the Livestock Census. Complications arose from variations in the number of districts from the pre-2000 situation, recognized by AIMS as the authorized number, to that officially recognized by the MoI. A further complication arose from the administrative situation on the ground as a result of the creation of new districts by provincial administrations, which had not been officially recognized by the central government. It was decided that the locally accepted name for a district would be used in the Livestock Census, based on the answers from respondents. Names were taken and recorded in or . The survey forms and training manuals were prepared in English and translated into two local languages, Dari and Pashto, to be used as appropriate for individual districts. Training for Supervisors was held in English and simultaneously translated into Dari by an interpreter. Supervisors trained field staff in Dari or Pashto. It was estimated that each pre-2000 district would require an average of 4.5 person-months of work to collect the Level I census data, giving a national total of 1 500 person-months. Less time would be required for smaller districts or districts with easier travel conditions; more time would be required for larger or more difficult districts. The need for flexibility was also recognized, and a time plan conceived in Kabul could only be taken as a guideline. Supervisors were allowed to vary the allowance for human resources within limits to suit conditions on the ground. Considerable 2

responsibility therefore rested on Supervisors and their judgement of the situation. Orders were placed for vehicles and computer equipment in October 2002. Computer equipment arrived in January 2003. Registration of the first vehicle occurred during February, and the second vehicle was registered in March. The project was only able to take possession of the two vehicles at the end of March when most of the fieldwork had already been completed.

■ RECRUITMENT AND TRAINING

Twenty-five Supervisors were selected and trained by the Census Manager and his Assistant. Eleven persons came from the MAAH, ten from previous FAO projects, one from the University of Kabul, one from a non-government organization (NGO) and two from the private sector. The supervisor training lasted three days and covered the purpose of the survey, the use of Level I and Level II forms, and the organization and administration of the Supervisors’ duties. During the course, the Level I and Level II forms were field-tested by the Supervisors in a nearby village. Lessons learnt during field-testing were incorporated into the training. Supervisors also received guidance on organizing and implementing the training courses for the field staff to be held in the provinces. Pairs of supervisors were then allocated to cover two to three provinces and given a list of the suggested person-months needed for data collection for each district and an upper limit of the total person-months available for the group of provinces under their control. They were given the authority to vary the person-months used for any one district, as long as the total person-months remained within the limit for their group of provinces. The country was divided into higher and lower attitude provinces. Supervisors in higher altitude locations started the recruitment and training of field staff at the end of October 2002. Selection and training in lower altitude areas started in late November. In the provinces, the Supervisors visited provincial ministries to introduce themselves and inform the authorities of their activities. In some locations it was possible to hold broadcast interviews on local radio stations to publicize the Livestock Census. In these areas, villagers then knew of the Livestock Census before the Data Collectors arrived. Supervisors recruited Data Collectors at the district level from local people with knowledge of the area and the livestock sector. These were predominantly veterinary staff, originally part of the MAAH but recently in the private sector environment. Other suitable local persons were recruited in districts where no veterinary field unit existed. Training courses were organized by the Supervisors at suitable locations around their group of provinces, with about 30 potential field staff attending each course. Attendance at a training course, and a demonstrable understanding of the proposed activities and duties were required before contracts were offered to the field staff.

■ DATA COLLECTION

Level 1 Field data was largely numeric. A record field remained blank where the respondents were unable to answer the question. All names and dates were recorded in local script, that is, Dari or Pashto. It was decided to record “ perceived” names of the district in which the community considers itself located. Livestock Census information was collected at the village level. However, it was believed that information on total animal numbers would be more reliable from groups of a limited number, and that it would be difficult to obtain reliable data from a single meeting in a large village. Therefore, during the planning period the collection unit was defined as a community group within a village. Community groups were based on mosque assemblies. A small village might have a single assembly whereas a large village might have several. Data Collectors made two visits to each mosque assembly. On the first visit there were explanations for the Census, thus preventing any misconceptions over its potential tax-raising implications, and for the data required. The village or community leaders were requested to organize information collection from village families by the date of the Data Collectors’ return. A second visit was made a few days later and information was collected from a representative group from the mosque assembly. In addition, data was collected from all urban centres. Kabul city was treated as a separate unit 3

from for data collection. One Supervisor and 30 Data Collectors were involved in the census of Kabul city, taking one month for completion. Data Collectors visited local area representatives, who in turn contacted street representatives to organize data collection. Kabul city Data Collectors came from the Departments of Animal Science and Veterinary Science in the University of Kabul. Field staff in the provinces came predominantly from the staff of Veterinary Field Units (VFUs). Most VFUs are independent entities, although some are still formally contracted to NGOs. FAO receives regular information from around 230 VFUs, but in some regions of Afghanistan these linkage are lacking. Letters of Agreement (LoAs) were prepared with two NGOs, covering areas in the west, west-central and southwest regions of Afghanistan to assist with identifying and selecting suitable field staff in those areas with links to VFUs, and where FAO was not represented. Visits to the field to oversee the work and ensure data quality were made by the Census Management and the Supervisors. Data collection was competed in all provinces by the end of March 2003, with the exception of Ghor Province. During the winter and early spring, road access to Ghor is virtually impossible, due mainly to snow and then to mud. The main access road was only formally declared open by the Government on 13 April 2003. A rapid survey was undertaken in Ghor using many data collectors, working towards its completion by the end of April. Insecurity prevented data collection in only one district, Barmal in Paktika Province, adjacent to the border.

■ DATA ENTRY AND CHECKING

Ten data entry personnel were recruited in early February 2003 for training by the consultant statistician who visited Kabul during mid-February. Data was entered by two five-person teams into computers on a tailored form to simplify the transfer of information from paper to computer. Data was entered in duplicate, once by each team. Each team worked on data from one province each at a time, with single districts being allocated to a single operator. Data entry was completed by early June. Duplicate entry by different teams simplified the task of checking the accuracy of entry, by crosschecking the two files relating to a single district. Differences were identified and then corrected by reference to the original data form received from the field. Data checking and correction of the basic data set was completed by the end of July. In total, 53 000 records for Level 1 were entered by each team, each record containing 73 fields.

■ DATA ANALYSIS

Data was analysed using SAS. The basis of the analysis was an amalgamated data set comprising the full Level I data for the Livestock Census project. The objective of the preliminary analysis was to compute overall summaries and detect the highest priority needs for the livestock sector. For this purpose, the following derived statistics were computed:

• dairy cattle per family (female cattle older than two years of age);

• animals available for ploughing per family (cattle older than two years including cows, donkeys and camels);

• small stock available for sale per family (female and male younger than two years of age, adult castrated animals;)

• recruitment in cattle, sheep, goats and donkeys (number of animals younger than two years per female animals older than two years). 4

In addition, the following indicators were summarized:

• number of families currently without livestock;

• number of families without livestock four years ago;

• the difference between these two indicators;

• number of families that currently own chicken only.

For total livestock numbers, records without information about numbers of families were included. This interim analysis does not include complete checking of consistency by comparing summary values with numbers given for individual categories within species. For all computed variables on a family basis, all records with missing information about number of families within the community for which the data were enumerated were omitted. Due to many missing value cells for small stock numbers, it was decided on an individual record basis whether the missing entry was truly a missing value or indicated zero. The criterion used was overall number of animals in the corresponding species. When this decision was not possible, the record was eliminated. For all computed variables involving animal ratios, records containing zeroes for the numerator were eliminated. For records with missing values for the numerator variable, it was decided on an individual record basis if the missing entry denoted zero, or was truly a missing value.

■ RESULTS

National and provincial data are reported here. District data is shown in the Appendices.

■ DISTRICTS

Information from field staff employed to collect census data revealed that the FAO baseline information on the number of districts was at variance with the de facto situation on the ground. Over various administrations, new districts have been established by dividing those already in existence. While the legal status of the new districts is uncertain and their boundaries unclear, it was decided that location identification data that was recorded on the survey sheet would reflect the district names in current use by the local population. The MoI has an official list of districts based on the 1991 situation, but this is different from the list used by the Central Statistical Office (CSO). The AIMS list of districts derives from 1979 when the only human population census occurred. The field data collected by the current Livestock Census shows significant variation from the official government list and from the AIMS list (Appendix 4). The Livestock Census was able to identify the relationship between districts on the different lists, allowing partial comparisons to be drawn between the results of the current Livestock Census and earlier FAO work. However, since the maps presented in this report are based on the AIMS maps, the only available computerized maps of Afghanistan, one should bear this in mind in considering the results. At the provincial level, there are a number of differences between the official list and AIMS data. Some districts are allocated to a different district in the AIMS list, and some districts have been completely omitted. Within provinces there are many districts that do not appear on the AIMS list, and some that have disappeared. The AIMS database, from pre-2000 data, indicated 329 districts in 32 provinces. Areas in which provincial capitals are sited are counted by the MoI as administrative units rather than districts, e.g. the capital areas such as , Qalat, and Qalay I Naw “ Districts” . The CSO uses the title “ minor civil division” for all provincial centres and districts. There are 351 districts plus 32 provincial administrative areas on the MoI list, but 357 plus 32 provincial centres in the minor civil divisions of the CSO. Information collected from the field has shown that there are 397 de facto districts (counting provincial administrative areas as districts) and up to 7 more in Ghor Province and Barmal 5

District in Paktika Province that were not accessed by the Census (Table 1). Some of the districts on the MoI and CSO lists are not recognized by name by the people on the ground. These were Rashidan and Wali Mohd Shaheed in , Taraw in Paktika Province and Firoz Nakhchir in Province. Full details are shown in Appendix 1. The project collected data from 16 urban districts (Nahya) in Kabul city. These areas are not counted as separate districts by the MoI, but are called districts by the CSO. ■

TABLE 1. Summary of districts recognized by the MoI, the CSO and AIMS, and reported to the Livestock Census

Province MoI # 2003 CSO 2003 AIMS 2001 FAO Livestock Census 2003 27 27 13 30 Badghis 6 6 7 9 11 14 11 15 15 14 14 15 6 6 5 7 Farah 10 10 11 11 Faryab 13 13 12 11 Ghazni 18 18 16 17 Ghor 9 9 7 (3) ** Helmand 11 12 13 15 Hirat 15 16 16 16 Jawzjan 9 9 9 14 Kabul 14 14 14 15 15 15 12 17 Kapisa 5 6 6 8 Khost 12 11 12 13 Kunar 14 14 12 15 6 6 7 7 Laghman 4 4 5 5 Logar 6 6 5 7 Nangahar 21 21 20 25 Nimroz 5 4 5 6 Nuristan 7 7 6 7 Paktika 18 18 15 (17) * Paktya 9 10 12 14 Parwan 13 13 12 14 Samangan 6 6 5 9 Saripul 5 5 6 7 Takhar 16 16 12 17 Uruzgan 8 8 10 9 Wardak 8 8 8 10 Zabul 9 9 9 12 TOTAL 351 355 329 397 # The MoI database excludes 31 provincial capital administrative areas. * Only 17 districts were surveyed out of 18 districts in Paktika. ** Only 3 districts were surveyed in Ghor Province. 6

Villages, communities and families

he current census data showed that there were more villages than recorded on the AIMS database. The Census recorded 36 724 villages in the districts surveyed, compared to 30 690 T villages recorded in the AIMS database, and around 36 000 villages known to the MoI (Table 2). The number of families recorded in the current work was 3 044 670, suggesting 83 families per village. However, the true number of families is even greater than this because some communities were unable to state the number present. An attempt was made to determine the number of Kuchi families separately from resident families. The overall total of 23 949 Kuchi families recorded in the Census understates the true position because normal migration patterns have been disturbed by insecurity along the Pakistan border. ■ 7

TABLE 2. Number of villages and families in the AIMS database 2001, and reported to the Livestock Census 2003

Province AIMS 2001 FAO Livestock Census 2003 FAO Livestock Census 2003 Villages Villages Families Badakhshan 1 820 1 633 111 874 Badghis 639 919 94 815 Baghlan 895 1 259 107 231 Balkh 771 1 349 157 230 Bamyan 1 543 1 712 54 169 Farah 818 1 263 80 829 Faryab 634 970 135 537 Ghazni 2 680 2 336 97 471 Ghor ** 1 714 815 25 867 Hilmand 1 136 2 297 119 188 Hirat 1 435 2 686 332 893 Jawzjan 254 513 96 796 Kabul 690 987 70 840 Kabul City 420 289 964 Kandahar 1 853 2 662 86 206 Kapisa 399 582 52 059 Khost 519 1 526 39 219 Kunar 475 911 52 661 Kunduz 377 898 63 777 Laghman 464 590 49 839 Logar 394 1 110 51,780 Nangarhar 971 1 688 136 804 Nimroz 427 611 24 969 Nuristan 168 365 23 835 Paktika* 981 1 734 38 725 Paktya 707 1 215 33 068 Parwan 980 1 203 88 993 Samangan 471 513 81 989 Saripul 556 434 58 177 Takhar 664 1 523 151 157 Uruzgan 2 491 2 239 97 120 Wardak 1 347 2 072 87 067 Zabul 1 427 2 173 52 521 Total 30 700 36 724 3 044 670 * Only 17 districts were surveyed out of 18 districts in Paktika. ** Only 3 districts were surveyed in Ghor Province. 8

Livestock numbers

ationally, the total number of cattle was 3.7 million. Provincial numbers are shown in Table 3. The most important cattle-owning provinces were Badakshan and Nangarhar, each holding N over 0.3 million cattle, and Takhar and Uruzgan with over 0.2 million each. Nationally, there were 8.8 million sheep and 7.3 million goats. Almost 0.8 million sheep were recorded in Hirat Province, and over 0.5 million in Badghis, Faryab, Hilmand and Kandahar. Out of 7.3 million goats, over 0.5 million were recorded in Hirat, Hilmand and Nuristan. Afghanistan contains 1.6 million donkeys, with over 0.1 million in Badakhshan, Hirat and Takhar. Of the provinces having less than 175 000 camels, only Hilmand and Kandahar had more than 20 000. Horses were reported as having the smallest numbers (140 000), of which only Kunduz reported more than 20 000. 9

TABLE 3. Summary of total livestock on a provincial basis

Province Cattle Sheep Goats Donkeys Camels Chickens Horses Badakhshan 317 120 400,521 402 658 107 336 208 314 992 12 996 Badghis 40 873 630 896 275 430 93 857 9 829 243 141 3 190 Baghlan 168 170 332 665 236 127 73 653 770 280 234 19 457 Balkh 74 976 479 323 147 483 58 932 7 474 287 895 9 796 Bamyan 77 893 227 650 60 143 48 905 0 123 432 2 691 Farah 78 525 164 559 493 029 39 848 6 490 438 934 1 849 Faryab 74 967 634 855 353 179 79 228 12 215 187 457 4 394 Ghazni 84 795 246 083 76 266 39 087 721 321 420 840 Ghor 40 354 104 636 40 822 17 415 1 71 391 1 922 Hilmand 184 866 596 074 583 178 52 536 20 247 850 020 2 775 Hirat 185 785 790 708 696 894 155 211 14 088 691 101 4 977 Jawzjan 32 669 440 338 125 146 29 689 15 171 155 470 8 305 Kabul 57 713 91 994 97 140 16 300 356 345 497 491 Kabul City 14 728 10 994 11 534 2 346 0 584 833 1 050 Kandahar 70 286 605 049 390 156 42 756 31 229 579 870 1 263 Kapisa 141 736 90 266 72 270 14 000 270 336 556 928 Khost 164 426 79 924 167 300 30 726 3 040 613 025 365 Kunar 196 990 104 007 433 008 29 815 46 567 032 216 Kunduz 157 888 328 231 49 462 51 721 12 219 236 551 20 012 Laghman 158 359 161 097 163 306 19 831 1 762 391 365 246 Logar 58 748 41 610 30 044 14 436 149 198.365 216 Nangarhar 304 892 267 749 238 991 63 378 3 322 1 046 032 3 362 Nimroz 11 448 65 978 126 315 19 330 9 872 136 657 662 Nuristan 95 892 75 480 559 898 12 821 0 281 504 3 074 Paktika 52 265 104 444 160 663 13 977 4 018 287 518 226 Paktya 85 670 41 292 137 071 16 103 553 472 394 291 Parwan 121 194 149 197 169 947 42 918 137 307 186 2 505 Samangan 42 121 323 416 124 377 67 106 3 247 118 862 5 259 Saripul 63 187 240 893 85 822 60 703 3 198 124 831 4 914 Takhar 236 194 324 031 231 552 139 314 912 345 947 14 718 Uruzgan 229 956 362 503 332 365 74 796 10 967 656 214 7 613 Wardak 56 428 93 937 55 139 31 958 60 268 652 978 Zabul 34 295 161 951 154 151 27 562 2 699 290 467 513 Overall average 3 715 409 8 772 351 7 280 866 1 587 594 175 270 12 155 846 142 094 10

These numbers are of limited value on their own. Knowledge of the changes in herd structure over time will indicate whether herds are increasing or decreasing, and if they are capable of meeting the objectives set by their owners. The importance of these changes to society will vary according to the contribution of livestock to the household. Hence, animal numbers per household must also be considered. Another aspect is the ability of the environment to support livestock without degradation. This depends, of course, on a combination of natural and cultivated resources.

As indicated from the numbers in Table 4, only families in Khost, Kunar, Laghman and Nuristan own more than three or more cattle. Families own more sheep than goats in most provinces, but Nuristan families have seven times more goats than sheep. In general, there are more goats than sheep in provinces along the border with Pakistan. Families in the east and southeast keep the most poultry. ■ 11

TABLE 4. Livestock per family in 2002-2003

Province Cattle Sheep Goats Donkeys Camels Horses Chickens Badakhshan 2.83 3.58 3.60 0.96 0.00 0.12 2.82 Badghis 0.43 6.65 2.90 0.99 0.10 0.03 2.56 Baghlan 1.57 3.10 2.20 0.69 0.01 0.18 2.61 Balkh 0.48 3.05 0.94 0.37 0.05 0.06 1.83 Bamyan 1.44 4.20 1.11 0.90 0.00 0.05 2.28 Farah 0.97 2.04 6.10 0.49 0.08 0.02 5.43 Faryab 0.55 4.68 2.61 0.58 0.09 0.03 1.38 Ghazni 0.87 2.52 0.78 0.40 0.01 0.01 3.30 Ghor 1.56 4.05 1.58 0.67 0.00 0.07 2.76 Hilmand 1.55 5.00 4.89 0.44 0.17 0.02 7.13 Hirat 0.56 2.38 2.09 0.47 0.04 0.01 2.08 Jawzjan 0.34 4.55 1.29 0.31 0.16 0.09 1.61 Kabul 0.81 1.30 1.37 0.23 0.01 0.01 4.88 Kabul city 0.05 0.04 0.04 0.01 0.00 0.00 2.02 Kandahar 0.82 7.02 4.53 0.50 0.36 0.01 6.73 Kapisa 2.72 1.73 1.39 0.27 0.01 0.02 6.46 Khost 4.19 2.04 4.27 0.78 0.08 0.01 15.63 Kunar 3.74 1.98 8.22 0.57 0.00 0.00 10.77 Kunduz 2.48 5.15 0.78 0.81 0.19 0.31 3.71 Laghman 3.18 3.23 3.28 0.40 0.04 0.00 7.85 Logar 1.13 0.80 0.58 0.28 0.00 0.00 3.83 Nangarhar 2.23 1.96 1.75 0.46 0.02 0.02 7.65 Nimroz 0.46 2.64 5.06 0.77 0.40 0.03 5.47 Nuristan 4.02 3.17 23.49 0.54 0.00 0.13 11.81 Paktika 1.35 2.70 4.15 0.36 0.10 0.01 7.42 Paktya 2.59 1.25 4.15 0.49 0.02 0.01 14.29 Parwan 1.36 1.68 1.91 0.48 0.00 0.03 3.45 Samangan 0.51 3.94 1.52 0.82 0.04 0.06 1.45 Saripul 1.09 4.14 1.48 1.04 0.05 0.08 2.15 Takhar 1.56 2.14 1.53 0.92 0.01 0.10 2.29 Uruzgan 2.37 3.73 3.42 0.77 0.11 0.08 6.76 Wardak 0.65 1.08 0.63 0.37 0.00 0.01 3.09 Zabul 0.65 3.08 2.94 0.52 0.05 0.01 5.53 Overall average 1.22 2.88 2.39 0.52 0.06 0.05 3.99 12

MAP 1. Number of cattle per family

MAP 2. Number of sheep per family 13

MAP 3. Number of goats per family 14

Herd structures

nderstanding herd structures will allow for judgement to be made on the continuing contribution of livestock to the household. The Level I Census with data collected at the U community level has been augmented in the Level II surveys with household level data and a survey of women livestock keepers focusing on production systems and objectives. The final report will incorporate this information, enabling greater understanding of the livestock sector.

■ FEMALE CATTLE OLDER THAN TWO YEARS

Although it is unlikely that all cows enter lactation at the age of two years, for the sake of simplifying the Level I Census this age threshold was chosen to provide an upper limit to numbers in meaningful stock classes, in particular cattle available for dairy production and recruitment (see Table 5). Only families in Khost, Kunar, Laghman and Nuristan owned more than 1.5 cows per family (Table 5). 15

TABLE 5. Number of cows and draft animals owned per family in 2002-2003

Province Cows per Family Standard Deviation (SD) Badakhshan 1.1 0.9 Badghis 0.1 0.2 Baghlan 0.7 0.8 Balkh 0.3 0.4 Bamyan 0.6 0.4 Farah 0.5 0.7 Faryab 0.1 0.1 Ghazni 0.5 0.4 Ghor 0.6 0.4 Hilmand 0.8 0.6 Hirat 0.3 0.4 Jawzjan 0.2 0.3 Kabul 0.3 0.4 Kabul city 0.0 0.1 Kandahar 0.5 0.4 Kapisa 0.8 0.4 Khost 2.4 1.6 Kunar 1.9 4.7 Kunduz 1.1 1.3 Laghman 1.9 1.7 Logar 0.7 0.5 Nangarhar 1.3 2.5 Nimroz 0.4 0.4 Nuristan 1.9 1.2 Paktika 0.6 0.5 Paktya 1.3 1.0 Parwan 0.4 0.4 Samangan 0.2 0.3 Saripul 0.4 0.5 Takhar 0.8 0.7 Uruzgan 1.0 0.9 Wardak 0.4 0.4 Zabul 0.3 0.4 Overall average 0.7 1.1 16

■ YOUNG STOCK

A simple approach to summarizing the state of reproduction is to compute a ratio of young stock to number of reproductive females. If data are of acceptable accuracy (which can be only expected if the simplest numbers are used, e.g. two age classes), this ratio can provide some insight as to whether populations are stable, declining or have potential to increase. Of course, this will be affected by the time of the year, regional markets, and other variables that will influence the numbers, since not all data can be collected simultaneously. Therefore, on their own, the data is insufficient to suggest high priority areas or to give reason for complacency. They must be evaluated in the context of other indicators, and will be further analysed together with Level II data. The data are computed as the sum of categories (younger than two years of age) and the current year’s young (calves, lambs, kids, foals). These categories were kept clearly separate in the Livestock Census.

In many cases, where there were no entry cells, these were interpreted as true zeroes. This will likely be incorrect in many cases. Therefore, the values reported in Table 5 must be viewed as a lower limit.

■ CATTLE

The data indicate that restocking depleted herds in many areas will not be possible with current reproduction rates. For a full appreciation of the reproduction rates offtake (sale and slaughter), data for stock of less than two years of age are also required, but are not available from the Level 1 data. The available information suggests that cattle reproduction in the east-central area (Ghazni, Wardak, Logar, Parwan, Kapisa, Kunar) and in Kunduz and Badghis at 0.7 calves per adult female per year indicates a calving interval of 15 months after allowing for 10 percent mortality. At the other end of the scale, the calving interval in Jawzan appears to be 3.5 years. Depending on results from Level II, more in-depth analysis of this critical problem is clearly indicated, for example, by spot surveys and market surveys. It is also important to compare these data with available information about the regional extent and severity of drought.

■ SMALLSTOCK

The basic data in Level I does not differentiate between Karakul and other sheep breeds. Provinces with higher levels of Karakul could expect lower proportions of two-year-old young stock. The data shown below suggests that lamb numbers/ewe/year of 1.5 and above are available for restocking only in Logar, Nangarhar, Wardak, allowing for a mortality rate over two years of age of 25 percent, subject to the same caveats as the cattle values. Similarly, for goats, 1.5 kids/ doe/ year is only reached in Badghis, Nangarhar and Nuristan. 17

TABLE 6. Number of young per adult cow, ewe, doe and jenny

Province Young per cow SD Young per ewe SD Young per doe SD Young per jenny SD Badakhshan 1.3 0.8 1.3 1.2 1.3 0.9 1.4 1.6 Badghis 1.7 1.9 1.6 1.5 1.7 1.4 1.0 2.7 Baghlan 0.9 0.8 0.4 0.8 0.5 0.9 0.4 0.6 Balkh 0.6 0.8 0.5 0.6 0.6 0.9 0.4 0.7 Bamyan 1.0 0.6 0.9 0.6 1.0 0.7 0.6 0.6 Farah 1.0 1.3 1.5 2.4 1.4 1.7 1.4 1.6 Faryab 0.7 0.8 0.8 1.7 1.0 1.7 0.4 0.7 Ghazni 1.4 1.1 1.5 1.6 1.3 1.3 0.3 0.9 Ghor 1.3 1.1 1.2 0.9 1.3 1.0 0.9 0.9 Hilmand 1.1 1.1 1.5 2.0 1.1 1.0 0.9 1.1 Hirat 1.1 1.1 0.9 1.2 0.9 4.7 0.7 0.9 Jawzjan 0.5 0.4 0.6 0.9 0.7 0.9 0.3 0.3 Kabul 1.2 1.0 1.5 1.9 1.3 3.2 0.8 1.5 Kabul city 1.0 0.8 1.7 2.1 1.2 0.9 0.8 1.5 Kandahar 0.8 0.6 1.0 1.5 0.9 0.9 0.4 0.8 Kapisa 1.6 0.8 1.8 1.5 1.3 1.2 0.8 0.8 Khost 0.9 0.7 0.7 0.8 0.9 2.0 0.5 0.6 Kunar 1.4 0.9 1.4 1.0 1.3 1.0 1.3 1.4 Kunduz 1.5 0.8 1.5 1.5 1.4 1.1 1.1 0.9 Laghman 1.1 1.0 1.3 3.1 1.2 1.1 0.7 1.0 Logar 1.3 0.9 2.3 2.8 1.3 1.3 0.2 0.4 Nangarhar 1.2 1.0 2.1 3.7 1.5 3.1 0.6 0.9 Nimroz 0.7 1.4 0.5 0.7 0.6 0.6 0.3 0.8 Nuristan 1.3 0.8 1.4 0.9 1.9 11.4 1.3 1.0 Paktika 1.1 0.6 1.2 1.0 1.0 1.2 0.3 0.5 Paktya 1.1 0.6 1.3 1.6 1.1 1.7 0.3 0.5 Parwan 1.5 1.0 1.4 2.1 1.2 1.3 0.8 0.9 Samangan 0.7 0.9 0.5 1.0 0.5 0.9 0.7 1.0 Saripul 0.7 0.6 0.4 0.3 0.5 0.5 0.3 0.5 Takhar 1.2 0.6 1.1 0.7 1.0 0.6 1.1 0.6 Uruzgan 1.1 1.0 1.2 2.3 0.9 0.9 0.7 1.1 Wardak 1.5 0.8 1.9 3.0 1.4 1.2 0.4 0.6 Zabul 0.8 0.7 1.3 2.6 0.9 1.0 0.5 0.9 Overall average 1.1 0.9 1.2 1.9 1.1 2.1 0.7 1.1 18

■ DRAFT ANIMALS

The survey asked for available draft animals. Potentially available draft animals per family were calculated in two ways: by calculating the statistics based on questionnaire answers and by summarizing all categories that could potentially be used for draft. Draft animals in the questionnaire were oxen, donkeys, camels and horses, and can be used for ploughing, pulling carts and carrying loads. Several of the assumptions that underlie the number of draft animals available for ploughing were computed separately. First, the preferred animals are oxen. However, if no oxen are available, farmers also use cows, donkeys and camels. Consequently, this computed variable is the sum of female older than two years old for cattle, donkeys and camels; males older than two years old for donkeys and camels; and adult castrated cattle (Table 7).

Families own two or more ploughing animals in nine provinces. In the other provinces, collaboration is needed between families to constitute a pair of animals to draw a plough. ■ 19

TABLE 7. Numbers of animals per family for draught and ploughing in 2003-2003

Province Draft animals per family SD Ploughing animals per family SD Badakhshan 1.5 1.3 2.4 1.6 Badghis 1.3 1.0 1.3 0.9 Baghlan 1.0 0.8 1.4 1.3 Balkh 0.5 0.6 0.8 0.7 Bamyan 1.2 0.6 1.7 0.9 Farah 0.7 0.8 1.0 1.0 Faryab 0.8 0.6 0.9 0.6 Ghazni 0.5 0.4 0.9 0.7 Ghor 1.2 0.6 1.8 0.9 Hilmand 0.7 1.2 1.5 1.5 Hirat 0.8 0.7 1.1 0.9 Jawzjan 0.5 0.6 0.6 0.6 Kabul 0.1 0.9 0.6 0.7 Kabul city 0.0 0.1 0.1 0.2 Kandahar 0.8 1.2 1.2 1.3 Kapisa 0.7 0.5 1.0 0.5 Khost 0.9 1.0 3.3 2.0 Kunar 1.3 1.0 3.0 5.3 Kunduz 1.3 1.1 2.4 2.1 Laghman 1.0 1.3 2.8 2.2 Logar 0.4 0.4 1.0 0.7 Nangarhar 0.9 1.0 2.2 2.8 Nimroz 0.3 0.8 1.5 1.5 Nuristan 1.3 0.8 3.0 1.6 Paktika 0.5 0.5 1.1 0.7 Paktya 0.5 0.5 1.8 1.1 Parwan 0.4 0.5 0.7 0.5 Samangan 0.8 0.5 1.0 0.7 Saripul 1.1 0.9 1.5 1.2 Takhar 1.3 1.0 2.1 1.5 Uruzgan 1.4 1.1 2.3 1.8 Wardak 0.5 0.6 0.9 0.7 Zabul 0.7 0.7 1.0 0.9 Overall average 0.8 0.9 1.4 1.6 20

Changes in number of families owning livestock

reliminary data and evidence suggested a massive and widespread reduction in livestock numbers due to the four-year drought. Lacking dependable survey data prior to its onset, it is P not easily possible to obtain an accurate estimate of the extent of its impact. All communities were asked the current numbers of families without livestock, and the number of families four years prior to the interview (a time corresponding to pre-drought conditions).

In addition to drought, two additional factors that impact on the number of families in the communities must be considered, namely the appreciation of the Afghan currency after the ousting of the regime which forced many to sell stock in order to finance loans, and the substantial movement of refugees back into Afghanistan. The effects of these two factors are particularly evident in Kabul city. Data from Kabul city were removed from the analysis of changes in number of families owning livestock because they clearly distorted the overall results. There is verbal evidence suggesting that the returnees had left parts of their livestock holding with family members outside of Afghanistan.

The following province-level summary (Table 8) shows that overall there was a reduction in the number of families owning livestock. However, this was not the case for all provinces. The high standard deviation (SD) on the data is noticeable and must be borne in mind when interpreting the data. The data reported here are absolute numbers. The largest changes were found in Balkh and Hirat Provinces, both areas that include a major city with returnees, many of whom are without livestock. ■ 21

TABLE 8. Numbers of families per community without livestock, pre-drought (1998) and now (2003)

Families Families Difference Families with Province without livestock SD without livestock SD (pre-drought only poultry SD pre-drought now minus now) now Badakhshan 6.6 12.8 8.4 11.3 -1.9 5.3 10.1 Badghis 25.7 46.0 30.8 55.8 -5.1 11.0 17.2 Baghlan 10.7 15.2 13.4 19.3 -2.7 4.2 8.3 Balkh 28.4 27.3 38.8 40.8 -10.4 13.0 16.9 Bamyan 5.4 16.6 7.4 17.9 -2.0 2.4 7.6 Farah 10.7 15.6 12.5 16.3 -1.8 6.5 10.3 Faryab 32.3 35.3 35.5 29.9 -3.2 12.1 13.3 Ghazni 13.7 19.5 11.7 20.3 2.0 10.7 18.9 Ghor 6.2 8.6 9.4 12.5 -3.2 4.0 6.5 Hilmand 4.3 6.9 4.5 8.8 -0.2 3.3 7.8 Hirat 23.8 51.3 42.9 135.2 -19.1 18.8 56.4 Jawzjan 36.3 38.5 40.6 37.8 -4.4 9.7 11.4 Kabul 16.9 21.1 14.2 19.1 2.7 9.9 14.8 Kandahar 6.7 13.0 8.8 15.4 -2.2 5.4 11.8 Kapisa 4.6 6.5 6.9 9.6 -2.3 6.0 8.2 Khost 0.4 1.4 0.7 1.8 -0.2 0.6 1.9 Kunar 1.9 5.4 2.6 6.8 -0.7 1.6 5.4 Kunduz 6.9 9.9 8.5 10.4 -1.6 4.6 6.6 Laghman 5.5 10.6 7.7 14.7 -2.2 5.9 11.1 Logar 11.6 19.6 11.9 18.2 -0.3 10.8 16.8 Nangarhar 10.3 20.1 15.6 48.2 -5.3 11.5 33.2 Nimroz 14.8 17.8 18.3 23.0 -3.5 7.8 14.5 Nuristan 3.9 7.5 6.2 11.4 -2.3 4.7 10.1 Paktika 3.7 6.2 4.2 6.5 -0.5 3.3 5.4 Paktya 2.4 5.2 3.2 7.4 -0.9 2.9 7.0 Parwan 8.0 13.4 11.5 18.3 -3.4 6.1 8.5 Samangan 17.1 21.5 21.9 24.3 -4.8 5.8 9.4 Saripul 16.4 14.6 25.4 18.9 -9.0 5.0 7.3 Takhar 17.0 20.9 14.8 19.8 2.3 10.2 14.0 Uruzgan 5.4 22.9 5.0 10.5 0.3 2.8 5.2 Wardak 10.9 18.8 13.1 19.6 -2.2 10.4 17.2 Zabul 7.4 9.4 8.7 12.0 -1.2 4.9 8.9 Overall average 11.4 23.5 14.4 41.0 -3.0 10.2 48.8 22

Discussion

revious data on livestock numbers can be found in FAO surveys undertaken since 1995. Some areas covered in 1995 were omitted from the larger coverage of 1998 due to security and P accessibility problems. In the absence of a sampling frame, there is no way to tell whether the areas covered give a true representation of the situation in a district, province or nationally. No reliable data exists against which estimates can be made as to the proportion of the families or communities included in the surveys. Comparison between total numbers reported in the various surveys is not sensible, but nevertheless, the numbers per household may give a general indication of the pre-drought livestock situation, together with the changes that have occurred between 1995 and the present day. Livestock owned per family, and in sheep numbers in particular, have clearly fallen sharply (Table 9). Although the decline between 1998 and 2003 appears steeper than between 1995 and 1998, changes were already under way during the earlier period. There are reports of transborder movements of livestock by emigrating families, and of returnees leaving stock behind while investigating the situation in Afghanistan for themselves. The time of year of the surveys is also important because the Kuchi herds may or may not be present. The Kuchi population in the south and southeast of the country spend the winter in Pakistan or in close to the border (FAO 1999). With the current security situation along the border area, it is probable that many would have chosen to remain in Pakistan. During the 1995 survey, the average sheep flock for Kuchis was 100 head, and nationally, the total owned by Kuchis was equal to the number owned by the resident population. The present Livestock Census only captured records from 29 000 Kuchi families, far fewer than were recorded by the limited surveys during 1995 (59 000 families) and 1998 (75 000 families). Given that a far smaller Kuchi population was captured by the FAO Livestock Census in 2003, a comparison would be better made with the stock holdings of resident families in previous years. On this basis it is still clear that livestock holdings have declined, and that sheep have been particularly hard hit by adverse conditions. Limited livestock data can be found in the bi-annual winter and summer agricultural surveys undertaken by FAO. In the most recent Agricultural Survey, livestock numbers per family have been shown to be considerably reduced from pre-drought values. The Agricultural Survey undertaken in May to June 2002 collected data from 5 000 farms in 540 villages across all 32 provinces and agro- ecological zones. The results indicated that on average a typical farm owned two cattle, four sheep, four goats and six chickens. Compared to the previous year, livestock numbers and the proportion of farms keeping livestock have decreased. Survey data over 1998-2002 indicated that livestock numbers had fallen faster in the later years of the drought. Preliminary results from the Agricultural Survey in winter 2002 indicated that both livestock numbers and proportion of farmers with livestock had started to increase compared to earlier in the year. More information is needed on the marketing patterns for livestock in order to understand the significance of these observations. The present FAO Livestock Census shows that over the country as a whole, livestock numbers per family are lower than those found in the earlier FAO surveys. ■ 23

TABLE 9. A comparison of livestock numbers (‘000) per family from the FAO Surveys in 1995 and 1998, and 2003 Census results

Species FAO 1995 Survey FAO 1998 Survey FAO Livestock Census 2003 All Resident All Resident All Cattle 3.66 3.75 2.51 2.75 1.22 Sheep 21.93 12.59 14.20 7.93 2.88 Goats 9.40 5.67 5.76 4.38 2.40 Donkey 1.09 0.96 0.71 0.62 0.52 Camels 0.41 0.12 0.23 0.07 0.06 Poultry 11.56 11.86 6.84 7.01 4.00

REFERENCES

FAO. 1999. Activities of the Kuchi working team. Working Paper 1/99. Kabul, Afghanistan.

FAO. 2003. National Crop Output Assessment. Kabul, Afghanistan.

CSO. 2003. Estimated population of Afghanistan 2003-2004. Transitional Islamic State of Afghanistan. Kabul, Afghanistan. APPENDIX 1

EXPLANATION OF DISTRICT COMPARISONS BETWEEN THE OFFICIAL LIST (AFGHANISTAN MINISTRY OF THE INTERIOR) 2003, AIMS 2001 AND THE FAO LIVESTOCK CENSUS FIELD DATA, 2003

The capital cities of provinces and the geographic areas in which they are located are not officially designated as districts. They are called “administrative units”. However, there is no differentiation made by the people on the ground. The Ministry of the Interior (MoI) therefore omits these administrative units from their list of districts.

During the recent periods of insecurity, additional districts have been formed unofficially in some locations by local area commanders, and in some cases pre-existing districts have been unofficially moved from one province to another. Examples are especially found in the northern provinces of Faryab, Jawzjan, and Balkh.

The district list used by the Afghanistan Information Management Service (AIMS) dates from 1979 when the first and final complete human population census was taken. The list of official districts provided by the MoI originates from 1991, but unfortunately the MoI has no maps showing the boundaries of these official districts. The Central Statistics Office has hand-drawn maps with district boundaries and village locations, which remain to be computerized. However, some official district names are not in use by the local population. The Livestock Census therefore relied on information provided to the data collectors by village representatives, together with their own local knowledge in recording district names.

The following is an attempt to reconcile different sources of information.1

1 Italics and square brackets for AIMS data represent original provinces from which new ones have emerged. Question marks signify probable provinces. 2

Badakhshan Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS ARGHONJ KHWA [FAYZABAD] ARGHONJ KHWA ARGO [FAYZABAD] ARGO BAHARAK BAHARAK BAHARAK DARAEEM [FAYZABAD] DARAEEM DARWAZ BALA DARWAZ DARWAZ BALA FAYZABAD FAYZABAD (PROVINCIAL CAPITAL) ISHKASHIM ISHKASHIM ISHKASHIM JURM JURM JURM KARAN WA MANJAN KURAN WA MUNJAN KARAN WA MUNJAN KHASH [JURM] KHASH KHWAHAN KHWAHAN KHWAKAN KISHIM KISHIM KISHIM KOHISTAN [RAGH] KOHISTAN KOHISTAN RAGH [RAGH] KOOF [DARWAZ] KOOFAB NASI DARWAZ [DARWAZ] DARWAZ RAGHISTAN [RAGH] RAGHISTAN SHAHRI BUZURG SHAHRI BUZURG SHAHRI BUZURG SHIGHNAN SHIGHNAN SHIGHNAN SHIKI DARWAZ [DARWAZ] SHIKI (DARWAZ ) SHOHADA [BAHARAK] SHOHADA TAGAB KISHIM [KISHIM] TAGAB (KISHIM?) TESHKAN [KISHIM] TESHKAN WAKHAN WAKHAN WARDOOJ [BAHARAK] WARDOOJ YAFTA BALA [FAYZABAD] YAFTALE PAYAN [FAYZABAD] YAFTA SUFLA YAMGAN [JURM] YAMGAN YAWAN RAGH RAGH YAWAN (GIROWAN) ZEBAK ZEBAK ZEBAK

! Arghonj Khwa, Daraeem, Yaftal Payan, Yaftal Bala and Argo (FAO and/or MoI) were all part of Fazyabad District. ! Tagab Kishim and Teshkan (FAO and MoI) were part of Kishim District. ! Yangam and Khash (FAO and MoI) were part of . ! Wardooj and Shohada (FAO and MoI) were part of Baharak District. ! Nasi Darwaz, Shiki Darwaz and Koof (FAO and MoI) were part of – the remaining portion is now Darwaz Bala District. ! Kohistan, Kohistan Ragh, Yawan Ragh and Ragistan (FAO and/or MoI) were part of Ragh District. 3

Badghis Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS AB KAMARI AB KAMARI [MURGHAB] DARA IBOUM [QADIS] GHORMACH GHORMACH JAWAND JAWAND JAWAND MUQUR MUQUR MUQUR MURGHAB MURGHAB MURGHAB QADIS QADIS QADIS QALAY INAW QALAY INAW (PROVINCIAL CAPITAL) SANGE AATASH [AB KAMARI]

! Ab Kamari, Sange Aatash (FAO and/or MoI) were part of Qalay I Naw District. ! boum (FAO) is part of Qadis District. ! Bala Murghab (FAO) is part of Murghab District.

Baghlan Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS [KHOST WA FIRING] FIRING WA GHAROO [KHOST WA FIRING] GUZARGAH INUR MARKAZ [DEHSALAH (ANDARAB)] ANDARAB BAGHLAN MARKAZ BAGHLAN BAGHLAN QADEEM [BAGHLANI JADID] BAGHLANI JADID BAGHLANI JADID BAGHLAN JADEED BANOO ANDARAB [DEHSALAH (ANDARAB)] BURKA BURKA DAHANI-I-GHORI DAHANI-I-GHORI DAHAN I GHORI DEH SALAH ANDARAB DEHSALAH (ANDARAB) DEH SALAH DUSHI DUSHI KHINJAN KHINJAN KHINJAN KHOST WA FIRING KHOST WA FIRING KHOST WA FIRING NAHRIN NAHRIN NAHRIN PULI HISARI ANDARAB [DEHSALAH (ANDARAB)] PUI HISARI (ANDARAB ?) PULI KHUMRI (PROVINCIAL CAPITAL) TALA WA BURFUK TALA WA BARFAK TALA WA BARFAK

! Puli Khumri (FAO) is the same as Baghlan Markaz (MoI). ! Baghlan Qadeem (FAO) is officially part of Baghlan Jadid District. ! Deh Salah Andarab (AIMS) has officially been divided into Deh Salah Andarab, and Pui Hisari (FAO and MoI). ! Banoo Andarab (FAO) was part of Andarab District. ! (AIMS) is officially part of . ! Guzargah i Nur and Firing wa Gharoo (MoI) were part of Khost Wa Firing District. 4

Balkh Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS KALDAR KALDAR KHULM KHULM BALKH BALKH BALKH CHAHAR BOLAK CHAHAR BOLAK CHARBOLAK CHAHAR KINT CHAHAR KINT CHARKINT CHAI [DAWLATABAD] CHAMTAL CHIMTAL CHEMTAL DAWLATABAD DAWLATABAD DAWLATABAD DIHDADI DIHDADI DID DADI KISHINDIH KISHINDIH KISHINDEH KOHI ALBARZ [NAHRI SHAH] KOHI ALBARZ MARMAL MARMUL MARMUL MAZAR ISHARIF MAZARI SHARIF (PROVINCIAL CAPITAL) NAHRI SHAH NAHRI SHAH NAHRI SHAH SHOLGARA SHOLGARA SHOLGARA SHORTEPA SHORTEPA SHORTEPA ZAREH [KISHINDIH] ZAREH

! Kaldar and Khulm (AIMS and MoI) Districts are officially in . ! Chai (FAO) was part of Dawlatabad. ! Zareh (FAO and MoI) was part of Kishindeh District.

Bamyan Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS BAMYAN BAMYAN (PROVINCIAL CAPITAL) KAMHARD [SEE BAGHLAN PROV] KAHMARD PANJAB PANJAB PANJAB SAIGHNAN [KAHMARD] SAIGHAN SHEBAR SHIBAR SHIBAR WARAS WARAS WARAS YAKAWALANG YAKAWANG

! Kamhard District (FAO and MoI) has been officially reallocated to Bamyan Province from (AIMS). ! Saighnan (FAO and MoI) District was part of Kahmard District. 5

Farah Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS ANAR DARA ANAR DARA ANAR DARA BAKWA BAKWA BAKWA BALA BULUK BALA BULUK BALA BULUK FARAH MARKAZ FARAH (PROVINCIAL CAPITAL) GULISTAN GULISTAN GULISTAN KHAKI SAFED KHAKI SAFED KHAKI SAFED LASH WA JUWAYN LASH WA JUWAYN LASH WA JUWAYN PURCHAMAN PURCHAMAN PURCHAMAN PUSHTE ROD PUSHTE ROD PUSHTE ROD QALAY I KAH QALAY I KAH QALAY I KAH QALAY I KAH PUSHT KOH QALAY I KAH PUSHT KOH QALAY I KAH PUSHT KOH QALAY-I-KAH QALAY-I-KAH QALAY-I-KAH SHIB KOH QALAY I KAH SHIB KOH QALAY I KAH SHIB KOH QALAY I KAH

Faryab Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS QARAMQOL QARAMQOL KHANI CHAHAR BAGH KHANI CHARBAGH ANDKHOY ANDKHOY [ANDKHOY] QURGHAN ALMAR ALMAR ALMAR BILCHIRAGH BILCHIRAGH BILCHIRAGH DAWLAT ABAD DAWLAT ABAD DAWLAT ABAD GURZIWAN [BILCHIRAGH] GURZIWAN KHWAJA MOSA [PASHTUN KOT] KHWAJA SABZ POSH KHWAJA SABZ POSH KHWAJA SABZ POSH KOHISTAN KOHISTAN KOHISTAN MAYMANA (PROVINCIAL CAPITAL) PASHTUN KOT PASHTUN KOT PASHTUN KOT QAYSAR QAYSAR QAYSAR SHIRIN TAGAB SHIRIN TAGAB SHIRIN TAGAB

! Gurziwan (FAO and MoI) was part of Bilchiragh District. ! Khwaja Mosa (FAO) was part of Pashtun . ! Qurghan (MoI) was part of Andkhoy. 6

Ghazni Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS BAHRAMI SHAHID (JAGHATU) WALI MOHD SHAHEED [JAGHATU] RASHIDAN (DEYA)AJRISTAN AJRISTAN AJRISTAN AB BAND AB BAND AB BAND ANDAR ANDAR ANDAR DIH-YAK DIH YAK DIH YAK GELAN GELAN GELAN GHAZNI MARKAZ GHAZNI (PROVINCIAL CAPITAL) GIRO GIRO GIRO JAGHATU JAGHATU JAGHATU JAGHURI JAGHURI JAGHURI KHWAJA OMARY [JAGHATU] KHWAJA OMARY MALISTAN MALISTAN MALISTAN MUQUR MUQUR MUQUR NAWA NAWA NAWA NAWUR NAWUR NAWUR QARABAGH QARABAGH QARABAGH WAGHAZ [JAGHATU] WAGHAZ ZANA KHAN ZANA KHAN ZANA KHAN

! Waghaz and Khwaja Omari (FAO and MoI) were part of Jaghatu District. ! Rashidan (MoI) Districts was Bahrami Shahid plus part of Jaghatu District. ! Wali Mohd Shaheed (MoI) was part of Ghazni Markaz.

Ghor Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS (PROVINCIAL CAPITAL) [CHAGHCHARAN] DAWLAT YAR DO LAINA SAGHAR SAGHAR TAYWARA TAYWARA PASABAND PASABAND [MURGHAB,] CHAR SADRA LAL WA SARJANGAL LAL WA SARJANGAL LAL WA SARJANGAL SHAHRAK SHAHRAK SHAHRAK TULAK TULAK TULAK

! Char Sadra (MoI) was part of Murghab District (Badghis Prov), and Chagcharan District. ! Dawlat Yar (MoI) was part of Chagcharan District. ! Do Laina (MoI) was part of . ! Only three districts were covered by the Livestock Census survey. 7

Hilmand Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS BAGHRAN BAGHRAN BAGHRAN DISHU DISHU DISHU GARMSER GARMSER GARMSER GERISHK NAHRI SARRAJ [LASHKAR GAR] GERISHK KAJAKI KAJAKI KAJAKI KHANSHEN [REG] LASHKAR GAH LASHKAR GAH (PROVINCIAL CAPITAL) MARJA [NAD ALI] MUSA QALA MUSA QALA MUSA QALA NAD ALI NAD ALI NAD ALI NAW ZAD NAW ZAD NAW ZAD NAWA NAWA NAWA REG REG REG SANGIN SANGIN SANGIN WASHER WASHER WASHER

! Geriskh (FAO and MoI) was part of Lashkar Gar. ! Marja (FAO) is of . ! Kanschen is part of .

Hirat Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS ADRASKAN ADRASKAN CHISHTE SHARIF CHISTI SHARIF CHISHTE SHARIF FARSI FARSI FARSI GHORYAN GHORYAN GHORYAN GULRAN GULRAN GUZARAH GUZARA HIRAT HEART (PROVINCIAL CAPITAL) INJIL INJIL INJIL KARUKH KARUKH KOHSAN KOHSAN KUSHKE KUHNA KUSHKI KUHNA KUSHKE KOHNA OBE OBE OBE PASHTUN ZARGHUN PASHTUN ZARGHUN RABAT ISANGY KUSHK KUSHK SHINDAND SHINDAND ZINDA JAN ZINDA JAN ZINDA JAN 8

Jawzjan Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS ANDKHOI [ANDKHOI,FARYAB PROVINCE] AQCHA AQCHA DARZAB DARZAB DARZAB FAZYABAD FAZYABAD FAYZ ABAD KHAMYAB KHAMYAB KHAMYAB KHANI CHARBAGH [KHANI CHARBAGH,FARYAB PROVINCE] KHWAJA DUKOH KHWAJA DUKOH KHWAJA DUKOH MARDYAN MARDYAN MINGAJIK MINGAJIK QARAMQOL [QARAMQOL,FARYAB PROVINCE] QARQIN QARQEEN QOSHTEPA [DARZAB] QOSHTEPA QURGHAN [QURGHAN,FARYAB PROVINCE] SHIBIRGHAN SHIBIRGHAN (PROVINCIAL CAPITAL)

! Andkhoi, Qaramqol, Khani Charbagh and Qurghan Districts (FAO) are officially part of Faryab Province. ! Qoshtepa (FAO and MoI) was part of Darzab.

Kabul Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS BAGRAMI BAGRAMI CHAHAR ASYAB CHAHAR ASYAB CHAHAR ASYAB DIH SABZ DIH SABZ DEH SABZ FARZA [] FARZA GULDARA GUDARA ISTALEF ISTALIF KABUL CITY KABUL (PROVINCIAL CAPITAL) KALAKAN KALAKAN KHAKI JABBAR KHAKI JABBAR KHAKI JABBAR MIR BACHA KOT MIR BACHA KOT MIR BACHA KOT MUSAYI MUSAYI MUSAYI PAGHMAN PAGHMAN QARABAGH QARABAGH QARABAGH SAROBI SUROBI SAROBI SHAKADARA SHAKARDARA SHAKARDARAH

! (FAO and MoI) was part of Mir Bacha Kot District. 9

Kandahar Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS ARGHANDAB ARGHANDAB ARGHANDAB ARGHISTAN ARGHISTAN DAMAN DAMAN DAMAN GHORAK GHORAK JARRI [ARGHANDAB,MAYWAND AND JARRI KANDAHAR (DAND) KANDAHAR (DAND) (PROVINCIAL CAPITAL) KHAKREZ KHAKREZ MARUF MARUF MARUF MAYWAND MAYWAND MEENASHIN [SHAH WALI KOT] MEENASHIN NESH [NESH,URUZGAN PROVINCE] NESH PANJWAYI PANJWAYI PANJWAYI REG [SHORABAK] REG SHAH WALI KOT SHAH WALI KOT SHAHWALI KOT SHIGAR [DAMAN] SHORABAK SHORABAK SHORABAK SPIN BOLDAK SPIN BOLDAK

! Jarri District (FAO and MoI) was formed from parts of Arghandab, Maywand and Panjwayi Districts. ! Reg (FAO and MoI) was part of Shorabek District. ! Nesh (FAO and MoI) was shown on the AIMS database as part of Uruzgan Province. ! Shigar (FAO) is part of Daman.

Kapisa Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS ALASAI ALASAY ALASAI HISA AWALI KOHISTAN [KOHISTAN] HISA AWAL KOHISTAN HISA DOUM KOHISTAN [KOHISTAN] KOHBAND KOHBAND KOHBAND KOHISTAN KOHISTAN MAHMUD RAQI MAHMUD RAQI (PROVINCIAL CAPITAL) NIJRAB NIJRAB NIJRAB TAGAB TAGAB TAGAB

! Officially the districts of Kohistan, Hisa Awai Kohistan and Hisa Doum Kohistan (FAO and/or MoI) are one district – Hisa Awali Kohistan District. 10

Khost Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS [SHAMAL,PAKTYA PROVINCE] SHAMAL ALISHIR TERE ZAYI TERE ZAI BAK BAK BAK GURBUZ GURBUZ GURBUZ ISMAIL KHIL MANDO ZAYI MANDO ZAI JAJI MAIDAN JAYI MAYDAN JAJI MAYDAN KHOST MARKAZ KHOST (MATUN) (PROVINCIAL CAPITAL) MUSA KHIL MUSA KHEL MUSA KHEL NADIR SHAH KOT NADIR SHAH KOT NADIR SHAH KOT QALANDAR QALANDAR QALANDAR SABRI YAQUBI [SABARI] SPERA SPERA SPERA TANI TANI TANI YAQUBI SABARI SABARI

! Alishir (FAO) is an alternative name for Tere Zai District. ! Shamal (MoI) District has been officially reallocated to Khost from Paktya Province. ! Yaqubi and Sabri Yaqubi (FAO and/or MoI) were . ! Ismail Khel (FAO) is an alternative name for Mando Zayi.

Kunar Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS [BAR KUNAR] GHAZI ABAD ASADABAD MARKAZ ASAD ABAD (PROVINCIAL CAPITAL) ASMAR BAR KUNAR BAR KUNAR CHAPA DARA CHAPA DARA (GULSALIK) CHAPADARAH CHAWKAY CHAWKAY CHAWKAY DANGAM DANGAM DANGAM KANDI [CHAPADARA] KHAS KUNAR KHAS KUNAR KHAS KUNAR MANAWARA MARAWARA MANAWARA MANOGUY PECH DARAE PECH NARANG NARANG NARANG NARI NARI NARI NURGAL NURGAL NURGAL SHIGAL [ DANGAM] SHIGAL WA SHILTON SIRKANAY SIRKANAY (PASHIT) SIRKANI WATA PUR [PECH] WATA PUR

! Asmar (FAO) was part of . ! Shigal (FAO and MoI) was part of . ! Wata Pur (FAO and MoI) was part of Pech District. ! Kandi (FAO) was part of Chapadara District. ! Ghazi Abad (MoI) was formed from parts of Bar Kunar and (Nuristan Province). 11

Laghman Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS ALINGAR ALINGAR ALINGAR ALISHING ALISHING ALISHING DAWLAT SHAH DAWLAT SHAH DAWLAT SHAH MIHTERLAM (PROVINCIAL CAPITAL) QARGHAEE QARGHAYI (SURKHAKAN) QARGHAYEE

! Nuristan District is now in Nuristan Province

Logar Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS AZRA AZRA BARAKI BARAK BARAKI BARAK CHARKH CHARKH CHARKH KHARWAR [CHARKH] KHARWAR KHUSHI KHUSHI KHOSHI MUHAMMAD AGHA MUHAMMAD AGHA MOHAMAD AGHA PULI ALAM (PROVINCIAL CAPITAL)

! (FAO and MoI) has officially been moved from Paktya Province. ! (FAO and MoI) was part of . 12

Nangarhar Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS ACHIN ACHIN ACHIN BATIKOT BATI KOT BATIKOT BIHSUD [] BIHSUD CHAPERHAR CHAPARHAR CHAPARHAR DAR INUR DARA-I-NUR DARA-I-NUR DEH BALA DIH BALA DEH BALA DUR BABA DUR BABA DUR BABA GOSHTA GOSHTA GHOSTA HISARUK HISARAK HISARAK JALALABAD MARKAZ JALALABAD (PROVINCIAL CAPITAL) JANI KHEL SHINWAR SHINWAR SHINWAR KAMA KAMA KAMA KHOGYANI KHOGYANI KHOGYANI KAJA [KHOGYANI] KHOGYANI WAZIR [KHOGYANI] KOT [RODAT] KOT KUZ KUNAR (SHEWA) KUZ KUNAR (SHEWA) KUZ KUNAR LAL PUR LAL PUR LA PUR DARAH MUHMAND DARA MOHMAND DARA NAZIAN NAZYAN NAZIAN PACHIR WA AGAM PANCHIR WA AGAM PACHA WA AGAM RODAT RODAT RODAT SHERZAD SHERZAD SHEWA [KUZ KUNAR (SHEWA)] SURKH ROD SURKH ROD SURKH ROD

! Khogyani, Khogyani Wazir and Khogyani Kaja (FAO) are all one district – Khogyani. ! Bihsud (FAO and MoI) was part of Jalalabad District. ! Kuz Kunar and Shewa (FAO and/or MoI) are one district – . ! Kot (FAO and MoI) was part of .

Nimroz Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS CHAHAR BURJAK CHAHAR BURJAK CHAHAR BURJAK CHAKHANSUR CHAKHANSUR CHAKHANSUR DELARAM [KHASH ROD /CHAKANSUR] DELARAM KANG KANG KANG KHASH ROD KHASH ROD KHASH ROD MARKAZ ZARANJ (PROVINCIAL CAPITAL)

! Delamaram (FAO and MoI) was part of Khashrod and Chakansur Districts. 13

Nuristan Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS BARGI MATAL BARGI MATAL BARGI MATAL DO AIB [MANDOL] DO AAB KAMDESH KAMDESH KAMDESH MANDOL MANDOL MANDOL NURISTAN NURISTAN NURISTAN WAMA WAMA WAMA WAYGAL WAYGAL WIGAL

! Nooristan District (AIMS) is officially in Nuristan Province. ! Do Aib (FAO and MoI) was part of .

Paktika Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS ZARGHUN SHAHR ZARGHUM SHAHR ? TARAW (BARMAL) BARMAL BARMAL DILA KHOSHMAND DILA DILA GAYAN GAYAN GAYAN GOMAL GOMAL GOMAL JANI KHIL [ZARGHUN SHAHR] JANI KHEL KHIR KOT [ZARGHUN SHAHR] MATA KHAN MATA KHAN MATA KHAN NIKA NIKA NIKA OMNA OMNA OMNA SAR HAWZA SAR HAWZA SAR HAWZA SAROBI SAROBI SAROBI SHARANA SHARAN (PROVINCIAL CAPITAL) URGUN URGUN URGUN WAZA KHAWA WAZA KHWA WAZA KHWA WOR MAMAY WOR MAMAY WORMAMAY YAHYA KHIL [ZARGHUN SHAHR] YAHYA KHEL YUSUF KHIL [ZARGHUN SHAHR] YUSUF KHEL ZIRUK ZIRUK ZIRUK

! Yahya Khel, Yusuf Khel, Jani Khel (FAO and MoI) were part of Zarghun Shahr District. ! Khir Kot (FAO) is part of Jani Khil and is not a separate district. 14

Paktya Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS AZRA ADMA [] AHMAD KHEIL {JAJI} LIJA AHMAD KHEL CHAMKANI CHAMKANI CHAMKANI DAND WA PATAN DAND WA PATAN DAND WA PATAN DOHMANDA SHAMAL [SHAMAL] GARDIZ (PROVINCIAL CAPITAL) JAJI JAJI JAJI JANI KHEL JANI KEL JANI KHEL LIJA MANGAL LIJA MANGAL SAYED KARAN SAYID KARAM SAYED KARAM SHAMAL SHAMAL SHWAK SHWAK SHWAK WAZA JADRAN JADRAN WAZA JADRAN ZURMAT ZURMAT ZURMAT ! Adma and Zurmat (FAO) are one District – . ! Dohmanda Shamal and Shamal (FAO) are one District – Shamal, and is now part of . ! Admad Khel and Lija Mangal (FAO) are one district – Lija Ahmed Khel (MoI), which was originally part of Jaji District. ! Azra District (AIMS) is officially part of .

Parwan Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS BAGRAM BAGRAM CHAHARIKAR CHAHARIKAR (PROVINCIAL CAPITAL) HISA AWA PANJSHIR PANJSHER HISA AWA PANJSHIR HISA CHAORUM PANJSHIR HISA CHAORUM PANJSHIR HISA DOUM PANJSHIR HISA IAWALI PANJSHER HISA DOUM PANJSHIR HISA SOUM PANJSHIR HISA IDUWUMI PANJSHER HISA SOUM PANJSHIR JABALUSARAJ JABALUSARAJ JABALSARAJ KOHI KOHI SAFI KOHI SAFI SALANG SALANG SALANG SAYED KHIL [, AND JABALUSARAJ] SAYED KHEL SHIKH ALI SHEKH ALI SHIKH ALI SHINWARI SHINWARI SIAGIRD (GHORBAND) GHORBAND GHORBAND SURKH IPARSU SURKHI PARSA SURKHI PARSA ! Sayed Khil (FAO and MoI) is located between Charikar and Jabalusaraj Districts. ! Siagird (FAO) is offically called Ghorband District. ! The three parts of Panjsher (AIMS) and been divided into four districts (FAO and MoI) 15

Samangan Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS [KHULM,BALKH PROVINCE] FIROZ NAKHCHIR AYBAK (MARKAZ SAMANGAN) AYBAK (PROVINCIAL CAPITAL) DAR ISUF DARA-I- SUF DARA I SUF SUFLA [DARA-I- SUF] DARA ISUF PAYEEN DARA-I-SUF-I-BALA [DARA-I- SUF] DARA ISUF BALA HAZRATI SULTAN HAZRATI SULTAN HAZRATI SULTAN KALDAR [KALDAR,BALKH PROVINCE] KHORAM SARAGH KHURAM WA SARBAGH KHURAN SARBAGH KHULM [KHULM,BALKH PROVINCE] RUYI DU AB RUYI DU AB RUYI DU AB

! Dara I Suf (AIMS) has been officially divided into Dara I Suf Bala and Dara I Suf Sufla (FAO and or MoI) Districts. ! Khulm and Kaldar (FAO) Districts are officially part of Balkh Province. ! Firoz Nakhchir (MoI) was part of Khulm District.

Saripul Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS BALKHAB BALKHAB BALKHAB KOHISTANAT KOHISTANAT KOHISTANAT SANGCHARAK SANGCHARAK SANG CHARAK SARI PUL SARI PUL (PROVINCIAL CAPITAL) SAYED ABAD [SAYYAD] SAYYAD SAYYAD SAYYAD SOZMA QALA SOZMA QALA SUZMA QAA

! Sayed Abad (FAO) was part of Sayyad. 16

Takhar Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS BAHARAK [TALUQAN] BAHARAK BANGI BANGI BANGI CHA AAB CHA AAB CHA AAB CHAL CHAL CHAL DARQAD DARQAD DARQAD DASHTE QALA [YANQI QALA] DASHTE QALA FARKHAR FARKHAR FARKHAR HAZAR SOMOCH [TALUQAN] HAZAR SOMOCH ISHKAMISH ISHKAMISH ISHKAMISH KALAFGAN KALAFGAN KALAFGAN KHWAJA BAHWADDIN [YANQI QALA] KHWAJA BAHWADDIN KHWAJA GHAR KHWAJA GHAR KHWAJA GHAR NAMAK AAB [TALUQAN /BANGI] NAMAK AAB RUSTAQ RUSTAQ RUSTAQ TALUQAN TALUQAN (PROVINCIAL CAPITAL) WARSAJ WARSAJ WARSAJ YANGI QALA YANGI QALA YANGI QALA

! Baharak (FAO and MoI) was part of Taluqan District. ! Namak Aab (FAO and MoI) was part of Taluqan and Bangi District. ! Dashte Qala (FAO and MoI) was part of Yanqi Qala District. ! Khwaja Bahwaddin (FAO and MoI) was part of Yanqi Qala District. ! Hazar Somoch (FAO and MoI) was part of Taluqan District.

Uruzgan Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS NESH CHAR CHEENAR SHAHIDI HASSAS SHAHID IHASSAS CHORA CHORA CHORA DAYKUNDI DAYKUNDI DAYKUNDI DIHRAWUD DIHRAWUD DIHRAWUD GIZAB GIZAB GIZAB KHAS URUZGAN KHAS URUZGAN KHAS URUZGAN KIJRAN KIJRAN KIJRAN SHAHRISTAN SHAHRISTAN SHAHRISTAN TIRIN KOT TIRIN KOT (PROVINCIAL CAPITAL)

! Char Cheenah (FAO) is officially called Shahid I Hassas District. ! Nesh (AIMS) District is officially in . 17

Wardak Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS CHAK CHAKI WARDAK CHAK DAY MIRDAD DAY MIRDAD DAYMERDAD HISA AWALI HISA-I- AWALI BIHSUD HISA AWALI BIHSUD JAGHATU [JAGHATU,GHAZNI PROVINCE] JAGHATU JALREZ JALREZ JAREZ KOTI ASHRO MAYDAN SHAHR (KOTI ASHRO) (PROVINCIAL CAPITAL) MARKAZ [MAYDAN SHAHR (KOTI ASHRO)] MARKAZ BEHSUD MARKAZI BIHSUD MARKAZ BIHSUD MAYDAN SHAHR [MAYDAN SHAHR (KOTI ASHRO)] MAYDEN SHAHR /KOTI ASHRO [MAYDAN SHAHR (KOTI ASHRO)] NIRKH NIRKH NIRKH SAYED ABAD SAYD ABAD SAYED ABAD

! Maydan Shahr, Maydan Shahr/ Koti Ashro and Koti Ashro (FAO) are all one district – Maydan Shahr District (FAO). ! Jaghatu District is shown by AIMS as part of Jaghatu in Ghazni Province (FAO).

Zabul Province

FAO LIVESTOCK CENSUS AIMS DATA MOI DISTRICTS ARGHANDAB ARGHANDAB ARGHANDAB ATGHAR ATGHAR ATGHAR DAYCHOPAN DAYCHOPAN DAYCHOPAN KHAKI AFGHAN [DAYCHOPAN] KAKAR MIZAN MIZAN MIZAN NAWBAHAR [SHAMALZAI AND SHAHJOY] QALAT QALAT (PROVINCIAL CAPITAL) SHAHJOY SHAHJOY SHAHJOY SHAHR SAFAH TARNAK WA JALDAK TARNAK WA JALDAK SHAMULZAYI SHAMULZAYI SHAMALZAI SHINKAY SHINKAY SHINKAY SWAI [SHINKAY]

! Khaki Afghan (FAO) and Karar (MoI) are part of Day Chopan District. ! Swai (FAO) was part of Shinkay. ! Nawbahar (FAO) is part of Shamalzai and Shahjoy Districts. ! Shahr Safah is officially called Tarnak wa Jaldak District. APPENDIX 2 TOTAL LIVESTOCK ON A DISTRICT BASIS

Total Total Total Total Total Total Province District Cattle Sheep Goats Donkeys Camels Horses BADAKHSHAN 317 120 400 521 402 658 107 336 208 12 996 ARGHONJ KHWA 4 037 15 399 7 733 1 163 0 105 ARGO 35 107 45 179 44 745 15 041 0 1 497 BAHARAK 16 725 25 863 11 005 3 821 0 268 DARAEEM 14 850 27 574 28 425 7 329 0 1 138 DARWAZ BALA 6 938 8 411 12 076 1 778 0 358 FAYZ ABAD 8 057 11 405 11 354 3 800 0 162 ISHKASHIM 6 683 11 517 7 847 1 186 44 554 JURM 11 330 16 412 16 848 4 018 0 201 KHASH 4 636 14 704 5 841 2 006 0 133 KHWAHAN 9 595 7 026 8 955 2 446 0 352 KISHIM 68 906 40 595 45 927 21 227 0 1 085 KOHISTAN 5 923 9 361 7 450 2 270 0 321 KOHISTAN RAGH 1 652 2 315 1 906 646 0 96 KOOF 6 837 5 720 9 824 1 858 0 224 KURAN WA MUNJAN 2 999 3 630 4 549 715 0 324 NASI DARWAZ 9 044 11 655 19 292 2 129 0 348 RAGHISTAN 12 817 14 404 13 842 2 278 0 1 357 SHAHRI BUZURG 5 367 6 538 9 075 5 877 48 963 SHIGHNAN 8 355 11 784 11 408 1 534 0 377 SHIKI DARWAZ 5 281 3 257 11 014 1 657 0 74 SHOHADA 9 534 16 581 13 050 2 636 0 218 TAGAB KISHIM 7 141 11 339 19 854 2 890 0 500 TESHKAN 3 715 4 515 10 799 2 771 0 257 WAKHAN 5 146 9 660 4 467 991 115 291 WARDOOJ 8 952 14 926 19 018 2 277 0 138 YAFTAL BALA 1 619 1 395 1 265 580 0 72 YAFTAL PAYAN 12 750 19 558 16 579 5 626 0 413 YAMGAN 8 260 15 013 8 470 2 146 0 372 YAWANRAGH 11 998 10 141 15 473 3 793 0 421 ZEBAK 2 866 4 644 4 567 847 1 377

BADGHIS 40 873 630 896 275 430 93 857 9 829 3 190 BALA MURGHAB 919 7 770 6 364 2 453 206 26 DARA-I-BOUM 626 21 633 13 093 2 838 280 137 GHORMACH 6 690 200 693 49 555 13 241 2 337 426 JAWAND 3 132 39 188 15 790 5 348 394 206 MUQUR 424 7 977 7 341 4 808 358 73 2

Total Total Total Total Total Total Province District Cattle Sheep Goats Donkeys Camels Horses MURGHAB 14 942 216 937 62 850 17 411 2 830 778 QADIS 8 244 48 431 41 418 16 208 88 548 QALAY I NAW 5 651 40 616 46 561 23 179 416 765 SANGE AATASH 245 47 651 32 458 8 371 2 920 231

BAGHLAN 168 170 332 665 236 127 73 653 770 19 457 ANDARAB 4 825 4 892 6 081 1 241 0 516 BAGHLAN 6 139 15 018 1 231 1 146 115 375 BAGHLAN JADID 15 285 52 750 11 333 6 118 299 1 832 BAGHLAN JADIDD 258 111 6 22 0 19 BAGHLAN QADEEM 8 353 17 131 2 660 1 968 45 1 047 BANOO ANDARAB 8 322 9 748 19 865 3 164 0 628 BURKA 5 593 16 783 15 273 8 690 0 849 DAHANA I GHORI 10 274 38 732 15 068 11 257 60 1 251 DEH SALA ANDARAB 302 869 322 98 0 42 DEH SALAH ANDARAB 4 501 6 385 7 352 1 846 0 702 DUSHI 16 699 31 987 31 054 7 723 12 600 KHINJAN 9 211 9 076 16 379 2 479 0 361 KHOST WA FIRING 32 968 30 970 47 800 6 869 0 4 424 NAHRIN 11 779 31 112 29 979 9 486 224 1 748 PULI HISARI ANDARAB 3 902 7 046 6 827 783 0 2 532 PULI KHUMRI 17 034 27 317 2 990 4 834 15 285 TALA WA BARFUK 12 725 32 738 21 907 5 929 0 2 246

BALKH 74 976 479 323 147 483 58 932 7 474 9 796 BALKH 12 790 46 998 11 490 4 164 311 1 326 CHAHAR BOLAK 8 968 60 199 30 103 4 293 2 025 1 241 CHAHAR KINT 2 362 25 761 13 429 4 886 0 640 CHAHEE 1 151 10 535 4 272 1 042 618 435 CHIMTAL 4 012 36 548 7 959 2 853 431 460 DAWLAT ABAD 3 437 46 742 11 295 2 436 1 113 1 389 DIHDADI 5 038 17 641 2 982 1 890 149 249 KISHINDEH 3 238 10 871 9 399 7 262 0 180 KOHI ALBURZ 680 28 583 6 553 4 562 644 162 MARMUL 281 7 661 3 362 1 519 0 120 MAZAR I SHARIF 5 833 27 579 4 794 1 573 180 1 043 NAHRI SHAHI 3 058 47 507 10 196 2 341 386 883 SHOLGARA 11 418 79 054 13 999 9 665 1 206 790 SHORTEPA 6 974 9 612 5 810 3 071 388 332 ZAREH 5 736 24 032 11 840 7 375 23 546 3

Total Total Total Total Total Total Province District Cattle Sheep Goats Donkeys Camels Horses BAMYAN 77 893 227 650 60 143 48 905 0 2 691 BAMYAN 6 585 16 464 3 301 8 348 0 201 KAMHARD 13 196 16 151 7 063 8 410 0 192 PANJAB 15 522 39 951 10 781 6 000 0 391 SAIGHAN 5 593 13 267 5 864 4 783 0 196 SHIBAR 5 354 18 821 5 968 5 016 0 226 WARAS 14 395 81 242 16 912 6 985 0 451 YAKAWLANG 17 248 41 754 10 254 9 363 0 1 034

FARAH 78 525 164 559 493 029 39 848 6 490 1 849 ANAR DARA 2 123 6 297 17 245 1 994 420 0 BAKWA 5 134 13 481 8 039 979 389 25 BALA BULUK 8 374 20 036 36 226 3 551 1 992 831 GULISTAN 5 623 7 509 70 536 3 892 221 18 KHAKI SAFED 6 370 21 433 24 641 3 352 982 33 LASH WA JUWAYN 3 227 23 301 39 614 2 353 2 059 49 MARKAZ FARAH 9 894 11 476 31 492 4 475 122 37 PUR CHAMAN 22 358 25 072 183 913 10 018 111 804 PUSHTE ROD 6 573 9 618 15 104 3 186 133 17 QALAY I KAH 236 3 744 4 717 665 0 0 QALAY I KAH PUSHT KOH 4 706 10 940 32 018 2 770 35 7 QALAY-I-KAH 437 1 233 1 388 317 1 2 SHIB KOH QALAY I KAH 3 470 10 419 28 096 2 296 25 26

FARYAB 74 967 634 855 353 179 79 228 12 215 4 394 ALMAR 12 964 85 378 35 865 13 355 2 027 420 BILCHIRAGH 6 228 18 007 13 820 7 346 22 842 BILCHIRAGH(GURZIWAN) 5 749 26 011 12 240 6 182 23 438 DAWLAT ABAD 1 624 91 412 7 464 3 760 2 639 87 GURZEWAN 2 061 7 097 3 796 2 187 47 158 KHWAJA MUSA 4 519 41 339 11 075 5 549 2 233 56 KHWAJA SABZ POSH 4 309 16 549 9 906 4 569 364 58 KOHISTAN 4 709 68 770 52 180 4 530 0 796 MAYMANA 5 949 10 146 11 347 3 896 97 108 PASHTUN KOT 10 753 35 845 28 187 10 398 27 436 QAYSAR 13 509 192 833 154 646 11 519 3 432 926 SHIRIN TAGAB 2 593 41 468 12 653 5 937 1 304 69

GHAZNI 84 795 246 083 76 266 39 087 721 840 AB BAND 2 588 18 296 5 478 2 997 263 47 AJRISTAN 4 752 6 919 4 412 1 190 97 334 ANDAR 17 422 26 079 1 696 2 643 7 72 4

Total Total Total Total Total Total Province District Cattle Sheep Goats Donkeys Camels Horses DIH YAK 3 817 9 879 1 933 1 448 0 14 GELAN 2 748 15 790 800 1 706 3 33 GIRO 3 524 13 291 3 829 2 025 12 32 JAGHATU 4 471 11 204 2 818 2 588 0 20 JAGHURI 953 9 024 4 108 827 0 1 KHOJA OMARY 1 738 2 301 730 471 0 1 MALISTAN 11 104 33 881 13 682 5 119 4 39 MARKAZ GHAZNI 3 876 8 234 563 513 11 2 MUQUR 3 723 12 968 5 433 3 364 6 25 NAWA 1 906 19 957 13 167 2 289 316 42 NAWUR 6 090 12 784 4 523 4 424 0 117 QARA BAGH 13 108 30 131 6 749 5 266 0 46 WAGHAZ 2 130 11 097 2 577 951 2 12 ZANA KHAN 845 4 248 3 768 1 266 0 3

GHOR 40 354 104 636 40 822 17 415 1 1 922 LAL WA SARJANGAL 29 585 88 043 18 170 10 227 0 966 SHAHRAK 5 548 7 707 8 779 2 526 0 559 TULAK 5 221 8 886 13 873 4 662 1 397

HILMAND 184 866 596 074 583 178 52 536 20 247 2775 BAGHRAN 15 932 84 761 198 812 6 645 210 637 DISHU 1 580 9 068 14 906 1 122 1 482 87 GARMSER 19 050 81 217 25 434 5 966 4 235 104 GERISHK 17 571 49 283 18 559 4 907 1 555 363 KAJAKI 17 908 21 727 12 437 5 920 304 82 KHANSHEN 3 337 9 974 13 440 874 2 052 97 LASHKAR GAH 8 530 26 379 7 648 3 302 1 014 245 MARJA 31 256 55 034 31 505 2 318 1 006 221 MUSA QALA 6 143 22 240 32 934 1 868 803 163 NAD ALI 12 463 45 769 18 263 1 714 849 101 NAW ZAD 6 054 51 063 42 114 5 013 2 719 287 NAWA 22 106 65 912 20 588 3 315 1 958 68 REG 6 600 30 138 89 086 2 724 0 0 SANGIN 12 788 14 679 4 817 2 456 171 218 WASHER 3 548 28 830 52 635 4 392 1 889 102

HIRAT 185 785 790 708 696 894 155 211 14 088 4977 ADRASKAN 8 641 22 166 80 703 7 643 1 636 259 4 817 8 641 19 516 3 256 756 209 FARSI 3 960 5 579 6 227 3 915 0 326 GHORYAN 6 337 86 652 62 503 5 417 387 152 5

Total Total Total Total Total Total Province District Cattle Sheep Goats Donkeys Camels Horses GULRAN 8 447 175 077 59 388 21 210 682 650 GUZARA 15 323 26 740 20 807 5 203 496 126 INJIL 45 318 50 207 26 682 14 008 179 575 KARUKH 11 580 38 848 53 136 9 824 98 272 KOHSAN 3 061 50 987 31 175 9 940 141 92 KUSHKI KUHNA 8 053 35 799 25 210 13 193 1 407 485 OBE 14 222 37 499 53 572 10 602 975 414 PASHTUN ZARGHUN 12 256 29 636 37 095 6 339 851 272 RABAT I SANGI 14 791 73 505 42 204 20 280 2 393 792 SHINDAND 19 527 111 413 135 965 11 959 3 850 226 ZINDA JAN 9 452 37 959 42 711 12 422 237 127

JAWZJAN 32 669 440 338 125 146 29 689 15 171 8 305 ANDKHOY 1 222 32 878 4 249 870 693 488 AQCHA 3 136 44 869 15 563 2 430 1 118 1 117 DARZAB 4 185 14 984 9 672 5 461 2 283 FAYZ ABAD 2 317 33 346 13 454 2 282 1 305 568 KHAMAB 3 040 8 870 867 456 187 674 KHANI CHAHAR BAGH 416 12 908 2 765 1 027 777 252 773 24 556 3 535 1 546 974 238 MARDYAN 1 610 33 511 14 610 1 451 667 1 300 MARKAZ 6 853 86 912 22 608 4 122 1 840 728 MINGAJEK 1 421 38 441 15 680 3 112 1 045 1 099 QARAMQOL 308 23 188 2 648 821 947 121 QARQIN 5 059 3 767 2 572 984 178 503 QOSHTEPA 1 781 63 708 13 392 4 562 4 849 599 QURGHAN 548 18 400 3 531 565 589 335

KABUL 57 713 91 994 97 140 16 300 356 491 BAGRAMI 7 453 2 031 937 2 635 0 271 CHAHAR ASYAB 3 344 1 565 1 262 424 2 7 DEH SABZ 3 188 8 420 7 788 1 103 0 50 FARZA 3 255 15 476 18 577 2 184 120 5 GULDARA 294 924 433 259 0 0 ISTALIF 370 2 973 1 464 391 0 38 KALAKAN 1 006 1 133 421 277 8 28 KHAKI JABBAR 1 057 3 127 4 743 821 0 4 MIR BACHA KOT 699 913 415 123 0 0 MUSAYI 4 210 2 212 2 499 949 0 0 PAGHMAN 5 817 8 349 3 891 1 397 2 22 QARA BAGH 3 152 15 270 5 631 896 80 58 SHAKARDARA 8 406 1 897 970 558 0 8 6

Total Total Total Total Total Total Province District Cattle Sheep Goats Donkeys Camels Horses SUROBI 15 462 27 704 48 109 4 283 144 0

KABUL CITY 14 728 10 994 11 534 2346 0 1 050 NAHYA 1 10 44 61 14 0 0 NAHYA 10 1 268 539 606 187 0 29 NAHYA 11 447 612 1 827 54 0 12 NAHYA 12 275 180 591 26 0 0 NAHYA 14 1 337 1 945 1 092 221 0 3 NAHYA 15 2 189 1 092 3 351 167 0 64 NAHYA 16 1 337 236 341 471 0 131 NAHYA 2 76 128 334 23 0 1 NAHYA 3 89 125 181 63 0 4 NAHYA 4 919 871 432 38 0 38 NAHYA 5 1 199 1 870 684 138 0 87 NAHYA 6 799 1 835 360 122 0 87 NAHYA 7 1 527 602 707 181 0 112 NAHYA 8 1 162 486 449 137 0 47 NAHYA 9 2 094 429 518 504 0 435

KANDAHAR 70 286 605 049 390 156 42 756 31 229 1 263 ARGHANDAB 8 441 17 733 4 866 3 273 429 125 ARGHISTAN 4 416 31 386 19 476 4 835 517 162 DAMAN 3 905 28 619 15 521 1 908 435 34 DAND 3 489 5 523 2 893 1 033 87 101 GHORAK 3 075 31 485 22 446 2 111 864 19 JARRI 8 543 16 542 3 499 1 161 372 135 KANDAHAR 998 776 640 269 0 216 KHAKREZ 5 191 25 219 38 009 3 658 277 7 MARUF 5 600 28 884 38 490 4 555 32 181 MAYWAND 7 337 64 755 19 967 3 906 1 726 7 MINASHEEN 2 447 11 561 11 096 1 357 412 67 NESH 3 037 11 565 16 597 2 949 403 8 PANJWAYI 6 591 33 348 9 159 1 450 1 026 16 REG 398 57 204 39 822 1 480 11 209 114 SHAH WALI KOT 4 490 21 589 12 869 1 839 673 18 SHEGAH 1 028 21 066 8 211 1 679 194 5 SHORABAK 320 164 399 117 341 3 312 11 208 6 SPIN BOLDAK 980 33 395 9 254 1 981 1 365 42

KAPISA 141 736 90 266 72 270 14 000 270 928 ALASAY 6 247 4 549 3 156 502 53 95 HISA AWAL KOHISTAN 18 151 5 979 8 335 2 216 0 24 7

Total Total Total Total Total Total Province District Cattle Sheep Goats Donkeys Camels Horses HISA DOWM KOHISTAN 27 940 6 593 993 1 903 5 196 KOHBAND 13 576 15 428 17 457 2 701 0 0 MARKAZ MAHMUDRAQI 19 155 15 213 3 509 2 257 128 149 NIJRAB 40 496 20 662 17 137 2 866 16 449 TAGAB 16 171 21 842 21 683 1 555 68 15

KHOST 164 426 79 924 167 300 30 726 3 040 365 ALISHIR 14 960 33 108 19 472 4 912 1 378 131 BAK 10 581 3 662 3 129 2 138 37 33 GURBUZ 11 943 10 107 6 045 2 962 89 11 ISMAIL KHEL 12 891 2 444 3 852 753 0 7 JAJI MAYDAN 15 573 5 011 15 285 2 319 35 133 MARKAZ KHOST 25 820 4 283 4 929 2 180 166 20 MUSA KHEL 10 665 3 214 32 325 2 319 140 3 NADIR SHAH KOT 13 183 4 055 9 426 2 535 0 0 QALANDAR 6 495 1 899 25 000 1 191 34 0 SABRI YAQUBI 17 403 3 100 2 672 2 754 8 13 SPERA 9 281 1 426 26 725 2 076 737 0 TANI 10 102 7 294 18 122 3 952 416 10 YAQUBI 5 529 321 318 635 0 4

KUNAR 196 990 104 007 433 008 29 815 46 216 ASMAR 13 899 8 980 45 192 959 0 0 CHAPA DARA 11 057 2 240 21 769 318 0 0 CHAWKAY 22 164 6 746 32 341 3 659 0 2 DANGAM 1 078 645 9 425 281 0 10 KHAS KUNAR 20 470 11 640 10 713 3 990 0 2 MANAWARA 6 895 3 410 23 720 1 337 0 0 MANOGUY 20 254 2 206 36 446 1 130 0 3 MARKAZ ASADABAD 10 029 7 343 11 235 1 288 8 0 NARANG 11 655 8 522 17 264 3 578 15 86 NARI 18 952 25 143 96 765 4 600 0 62 NOORGAL 24 215 12 775 34 470 3 483 23 1 SHIGAL 16 790 5 931 52 719 1 218 0 0 SIRKANAY 7 242 2 716 9 679 2 199 0 50 WATA PUR 12 290 5 710 31 270 1 775 0 0

KUNDUZ 157 888 328 231 49 462 51 721 12 219 20 012 ALI ABAD 14 726 34 140 5 504 7 444 146 968 CHAHAR DARA 22 182 38 189 3 438 4 707 834 1 975 DASHT ARCHI 13 064 63 826 5 674 7 529 1 573 833 47 603 71 710 22 834 18 002 7 069 12 666 8

Total Total Total Total Total Total Province District Cattle Sheep Goats Donkeys Camels Horses 11 162 12 493 5 339 6 661 75 639 MARKAZ KUNDUZ 32 046 40 319 551 3 420 328 1 850 QALA ZAL 17 105 67 554 6 122 3 958 2 194 1 081

LAGHMAN 158 359 161 097 163 306 19 831 1 762 246 ALINGAR 26 559 15 737 51 971 2 140 110 19 ALISHING 22 612 21 115 26 043 5 044 44 6 DAWLAT SHAH 24 685 4 575 51 718 823 0 2 MARKAZ MIHTERLAM 41 084 78 781 24 075 5 896 1 001 147 QARGHAYI 43 419 40 889 9 499 5 928 607 72

LOGAR 58 748 41 610 30 044 14 436 149 216 AZRA 1 423 1 326 10 335 163 1 20 BARAKI BARAK 18 928 7 205 2 283 4 022 8 74 CHARKH 5 641 1 599 3 250 1 632 0 21 KHARWAR 7 591 5 943 3 179 2 727 79 87 KHOSHI 711 5 201 2 138 414 1 0 MUHAMMAD AGHA 8 739 10 048 4 634 2 265 60 5 PULI ALAM 15 715 10 288 4 225 3 213 0 9

NANGARHAR 304 892 267 749 238 991 63 378 3 322 3 362 ACHIN 11 391 10 979 37 022 6 335 10 10 BATI KOT 27 094 9 026 1 884 5 043 192 16 BIHSUD 13 950 22 560 4 093 2 520 74 55 CHAPARHAR 8 117 16 675 3 415 2 473 113 24 DARA I NOOR 13 390 2 732 21 509 320 0 6 DIH BALA 10 798 15 847 9 366 2 604 0 1 DUR BABA 5 339 3 833 14 056 4 939 576 2 125 GHANI KHEL 11 729 4 785 3 636 1 319 86 0 GHANI KHEL SHINWARI 3 637 1 433 1 452 805 0 0 GOSHTA 8 402 2 972 4 602 2 402 0 0 HISARAK 9 152 12 860 16 809 1 604 99 23 KAMA 48 313 12 893 13 245 4 017 97 5 KHOGYANI 19 826 23 105 10 688 3 072 284 159 KHOGYANI WAZIR 8 989 13 272 7 487 1 461 32 31 KOT 6 301 5 736 3 696 1 100 0 3 KUZ KUNAR 5 545 3 825 1 197 521 40 18 KUZ KUNAR SHEWA 5 785 19 886 4 453 1 443 499 8 LAL PUR 7 754 2 705 11 818 3 974 5 17 MARKAZ JALAL ABAD 7 013 2 262 1 311 663 8 260 MUHMANDARA 13 374 34 496 7 873 6 031 998 16 NAZEYAN 4 644 3 584 19 501 1 830 7 91 9

Total Total Total Total Total Total Province District Cattle Sheep Goats Donkeys Camels Horses PACHIR WA AGAM 8 102 8 954 8 536 2 000 82 254 RODAT 6 616 3 992 2 911 1 640 0 10 SHERZAD 22 201 13 236 24 133 3 361 0 58 SHEWA 1 871 816 628 233 18 0 SURKH ROD 15 559 15 285 3 670 1 668 102 172

NIMROZ 11 448 65 978 126 315 19 330 9 872 662 CHAHAR BURJAK 2 480 13 318 9 136 2 982 1 584 0 CHAKHANSUR 1 746 23 106 17 414 1 215 4 438 190 DELARAM 452 5 820 13 480 299 1 034 80 KANG 2 511 8 207 7 853 9 067 157 182 KHASH ROD 3 585 12 099 68 804 2 322 1 880 204 MARKAZ ZARANJ 674 3 428 9 628 3 445 779 6

NURISTAN 95 892 75 480 559 898 12 821 0 3 074 BARGI MATAL 12 749 7 475 23 536 409 0 696 DO AIB 2 058 2 374 28 259 480 0 12 KAMDESH 11 567 10 556 47 392 849 0 180 MANDOL 14 659 22 780 143 095 4 478 0 1 836 NURISTAN 9 438 16 227 116 474 2 577 0 3 WAMA 22 473 9 376 80 441 1 409 0 345 WIGAL 22 948 6 692 120 701 2 619 0 2

PAKTIKA 52 265 104 444 160 663 13 977 4018 226 DELA KHOSHMAND 3 738 20 685 6 038 2 128 177 51 GAYAN 3 991 331 4 182 1 111 102 0 GOMAL 3 689 9 403 30 256 1 365 1 869 13 JANI KHEL 3 364 9 050 6 362 973 64 17 KHIR KOT 2 918 4 767 3 278 336 85 27 MARKAZ SHARANA 6 280 8 942 1 629 244 16 20 MATA KHAN 3 177 5 585 962 464 0 7 NIKA 1 829 178 8 466 734 260 0 OMNA 1 030 1 717 9 205 516 375 2 SAR HAWZA 1 120 2 012 4 761 702 78 4 SAROBI 2 103 1 529 6 622 651 127 1 URGUN 4 142 1 790 7 466 1 286 19 4 WAZA KHWA 1 942 20 132 27 966 1 300 302 8 WOR MAMAY 2 255 6 599 25 939 502 193 50 YAYA KHEL 3 291 5 886 2 375 216 5 14 YOUSUF KHEL 2 913 5 565 3 006 366 16 8 ZIRUK 4 483 273 12 150 1 083 330 0 10

Total Total Total Total Total Total Province District Cattle Sheep Goats Donkeys Camels Horses PAKTYA 85 670 41 292 137 071 16 103 553 291 ADMA 207 1 409 1 777 186 29 2 AHMAD KHEL 3 208 587 13 447 1 168 33 25 CHAMKANI 10 746 1 478 14 933 1 974 5 11 DAND WA PATAN 7 335 2 670 21 224 1 388 97 36 DOWAMANDA SHAMAL 1 442 259 4 174 260 14 0 GARDEZ 6 747 5 288 1 570 754 0 5 JAJI 7 733 2 722 11 836 1 912 24 154 JANI KHEL 14 419 2 743 36 219 2 100 178 4 LIJA MANGAL 1 918 754 9 946 728 26 0 SAYED KARAM 10 836 3 883 1 402 2 693 1 3 SHWAK 841 188 7 014 574 4 0 WAZA JADRAN 1 644 101 7 771 498 93 0 ZURMAT 18 594 19 210 5 758 1 868 49 51

PARWAN 121 194 149 197 169 947 42 918 137 2505 BAGRAM 11 067 11 780 3 682 1 435 75 69 CHAHARIKAR 15 915 5 356 6 902 4 745 6 248 HISA AWALI PANJSHIR 14 305 21 325 23 463 3 189 0 1 550 HISA CHAORUM PANJSHIR 8 887 10 419 24 457 2 497 0 48 HISA DAOUM PANJSHIR 6 687 5 851 10 633 828 0 98 HISA SOUM PANJSHIR 5 326 2 588 5 610 642 0 60 JABALUSARAJ 7 850 7 432 7 320 1 850 0 28 KOHISAFI 4 193 5 704 13 862 3 108 28 20 SALANG 2 130 10 488 16 556 790 0 81 SAYED KHEL 9 715 1 035 114 1 056 0 85 SHIKH ALI 5 847 12 999 7 707 3 341 0 60 SHINWARI 2 634 2 895 4 861 1 156 0 23 SHINWARI GHORBAND 10 404 19 805 22 479 6 953 28 37 SIAGIRD GHORBAND 5 455 13 399 13 229 5 787 0 58 SURKHI PARSA 10 779 18 121 9 072 5 541 0 40

SAMANGAN 42 121 323 416 124 377 67 106 3 247 5 259 AYBAK 6 801 63 333 18 404 5 928 469 554 DARA I SUF 7 799 16 859 12 183 10 299 0 776 DARA I SUF SAFLA 3 150 10 610 9 704 13 735 22 509 HAZRATI SULTAN 5 505 82 106 25 292 11 380 854 852 KALDAR 3 068 6 949 5 762 1 617 426 113 KHARAM SARAGH 4 677 40 772 20 597 8 265 0 544 KHULM 3 384 51 167 14 575 3 672 1 474 646 RUYI DU AB 7 737 51 620 17 860 12 210 2 1 265 11

Total Total Total Total Total Total Province District Cattle Sheep Goats Donkeys Camels Horses SARI PUL 63 187 240 893 85 822 60 703 3 198 4 914 BALKHAB 11 819 19 918 16 920 8 118 0 824 KOHISTANAT 13 409 28 742 7 228 12 506 45 1 355 SANG CHARAK 10 921 64 457 26 642 17 599 1 172 639 SARI PUL 9 065 49 297 11 283 7 398 463 799 SAYED ABAD 4 724 39 835 9 869 3 415 1 180 278 SAYYAD 3 598 16 799 5 501 3 255 125 458 SUZMA QALA 9 651 21 845 8 379 8 412 213 561

TAKHAR 236 194 324 031 231 552 139 314 912 14 718 BAHARAK 15 572 25 074 15 060 8 747 68 615 BANGI 4 518 4 947 6 075 4 529 0 301 CHA AAB 10 272 15 852 18 188 9 662 3 640 CHAL 7 474 14 170 14 179 5 439 0 374 DARQAD 15 657 4 617 5 554 4 374 93 1 541 DASHTE QALA 8 610 10 590 2 707 4 068 95 388 FARKHAR 5 701 6 077 19 168 4 088 0 71 HAZAR SOMOCH 1 301 3 042 2 256 2 064 0 71 ISHKAMISH 16 954 19 049 18 098 12 637 2 1 319 KALAFGAN 15 024 24 385 26 472 11 707 0 567 KHWAJA BAHWADDIN 10 607 21 627 7 462 5 489 310 1 054 KHWAJA GHAR 11 503 25 046 9 883 8 358 319 1 075 NAMAK AAB 772 570 783 1 015 0 32 RUSTAQ 38 025 55 172 40 812 26 943 18 2 640 TALUQAN 42 900 52 126 14 649 17 296 2 1 491 WARSAJ 14 726 22 218 21 061 3 336 0 184 YANGI QALA 16 578 19 469 9 145 9 562 2 2 355

URUZGAN 229 956 362 503 332 365 74 796 10 967 7 613 CHAR CHEENA 9 631 17 293 15 622 3 362 330 489 CHORA 11 578 26 270 22 434 6 005 932 208 DAY KUNDI 9 142 29 615 16 914 3 949 0 317 DIHRAWUD 54 686 35 919 38 842 8 728 4 410 5 393 GIZAB 19 771 31 473 58 591 7 469 696 65 KHAS URUZGAN 24 898 57 085 40 200 10 132 16 300 KIJRAN 19 420 20 095 22 230 6 503 408 226 SHAHRISTAN 31 810 80 261 73 833 9 731 40 73 TIRIN KOT 49 020 64 492 43 699 18 917 4 135 542

WARDAK 56 428 93 937 55 139 31 958 60 978 CHAK 8 658 9 778 10 513 5 294 0 24 DAY MIRDAD 4 445 6 427 6 098 3 338 0 33 12

Total Total Total Total Total Total Province District Cattle Sheep Goats Donkeys Camels Horses HISA AWALI BIHSUD 6 238 19 207 4 226 4 319 0 43 JAGHATU 2 126 7 692 3 316 3 257 0 3 JALREZ 5 461 4 379 4 983 2 588 0 14 KOTI ASHRO 3 265 1 944 1 964 791 16 3 MARKAZ BIHSUD 4 481 14 496 3 671 2 452 2 174 MARKAZ BIHSUD 2 2 337 6 280 1 584 910 10 78 MAYDAN SHAHR 1 150 612 113 169 0 2 MAYDAN SHAHR KOTI ASHRO 473 145 171 73 8 0 NIRKH 5 761 9 889 10 119 2 751 24 0 SAYED ABAD 12 033 13 088 8 381 6 016 0 604

ZABUL 34 295 161 951 154 151 27 562 2 699 513 ARGHANDAB 4 899 12 161 20 137 2 986 73 51 ATGHAR 1 487 5 163 7 790 1 488 38 15 DAYCHOPAN 3 257 9 194 14 809 2 816 420 94 KHAKI AFGHAN 3 277 7 921 13 360 2 264 30 79 MIZAN 1 290 12 785 10 244 1 341 703 13 NAWBAHAR 1 752 8 414 12 034 2 135 7 27 QALAT 6 289 34 907 15 039 3 932 546 28 SEYOURAY 1 650 6 079 8 263 1 332 5 32 SHAHJOY 5 920 23 724 15 611 3 494 67 62 SHAHRE SAFA 2 210 8 705 7 397 1 403 321 18 SHAMULZAYI 724 22 651 20 471 2 928 430 79 SHINKAY 1 540 10 247 8 996 1 443 59 15

TOTAL 3 715 409 8 772 351 7 280 866 1 587 594 175 270 142 094 13 APPENDIX 3

ADULT COWS ON A DISTRICT BASIS

Standard Cows per Deviation Province District Family (SD) Badakhshan 1.1 0.9 KURAN WA MUNJAN 2.1 1.8 BAHARAK 1.9 1.4 ISHKASHIM 1.9 0.7 RAGHISTAN 1.7 1.2 KOHISTAN 1.6 0.9 KOHISTAN RAGH 1.6 1.0 YAWANRAGH 1.5 0.9 ARGHONJ KHWA 1.4 1.0 ZEBAK 1.4 0.5 WAKHAN 1.3 0.7 YAMGAN 1.2 0.8 KISHIM 1.2 0.8 WARDOOJ 1.1 0.4 YAFTAL PAYAN 1.0 0.7 SHOHADA 1.0 0.7 TAGAB KISHIM 1.0 0.7 KOOF 1.0 0.6 ARGO 0.9 0.8 KHASH 0.9 0.4 NASI DARWAZ 0.9 0.4 DARAEEM 0.9 1.2 DARWAZ BALA 0.9 0.3 KHWAHAN 0.8 0.6 SHIGHNAN 0.8 0.3 YAFTAL BALA 0.8 0.3 JURM 0.7 0.6 SHIKI DARWAZ 0.6 0.3 FAYZ ABAD 0.5 0.4 TESHKAN 0.3 0.2 SHAHRI BUZURG 0.3 0.1

Badghis 0.1 0.2 MURGHAB 0.4 0.3 BALA MURGHAB 0.2 0.2 QADIS 0.1 0.2 2

Standard Cows per Deviation Province District Family (SD) GHORMACH 0.1 0.1 DARA-I-BOUM 0.1 0.1 JAWAND 0.1 0.1 QALAY I NAW 0.1 0.1 MUQUR 0.0 0.1 SANGE AATASH 0.0 0.0

Baghlan 0.7 0.8 BANOO ANDARAB 1.4 2.3 BAGHLAN JADID 1.1 0.9 KHINJAN 1.1 0.7 BAGHLAN QADEEM 1.1 0.9 TALA WA BARFUK 1.0 0.3 BAGHLAN 0.9 0.6 KHOST WA FIRING 0.8 0.6 DUSHI 0.8 0.6 PULI KHUMRI 0.7 0.7 ANDARAB 0.6 0.3 DAHANA I GHORI 0.6 0.7 DEH SALA ANDARAB 0.5 0.2 DEH SALAH ANDARAB 0.4 0.4 NAHRIN 0.3 0.4 BURKA 0.3 0.4 PULI HISARI ANDARAB 0.2 0.3

Balkh 0.3 0.4 BALKH 0.7 0.7 SHORTEPA 0.7 0.4 ZAREH 0.4 0.3 CHAHAR BOLAK 0.4 0.3 CHIMTAL 0.3 0.3 SHOLGARA 0.3 0.3 NAHRI SHAHI 0.3 0.3 DAWLAT ABAD 0.2 0.2 DIHDADI 0.2 0.2 CHAHEE 0.1 0.1 MAZAR I SHARIF 0.1 0.1 CHAHAR KINT 0.1 0.1 MARMUL 0.1 0.1 KISHINDEH 0.0 0.0 KOHI ALBURZ 0.0 0.0 3

Standard Cows per Deviation Province District Family (SD)

Bamyan 0.6 0.4 KAMHARD 0.8 0.6 PANJAB 0.7 0.4 YAKAWLANG 0.7 0.5 SAIGHAN 0.6 0.3 SHIBAR 0.5 0.3 WARAS 0.4 0.2 BAMYAN 0.3 0.2

Farah 0.5 0.7 KHAKI SAFED 1.1 2.1 QALAY I KAH PUSHT KOH 0.8 0.9 PUR CHAMAN 0.6 0.5 PUSHTE ROD 0.6 0.5 BAKWA 0.6 1.0 QALAY-I-KAH 0.6 0.4 MARKAZ FARAH 0.6 0.5 SHIB KOH QALAY I KAH 0.4 0.4 GULISTAN 0.4 0.3 LASH WA JUWAYN 0.4 0.4 BALA BULUK 0.3 0.3 ANAR DARA 0.2 0.2 QALAY I KAH 0.1 0.1

Faryab 0.1 0.1 BILCHIRAGH 0.2 0.2 BILCHIRAGH(GURZIWAN) 0.2 0.1 GURZEWAN 0.2 0.1 KHWAJA MUSA 0.2 0.3 KOHISTAN 0.2 0.1 MAYMANA 0.2 0.1 PASHTUN KOT 0.1 0.2 ALMAR 0.1 0.2 QAYSAR 0.1 0.0 KHWAJA SABZ POSH 0.1 0.1 SHIRIN TAGAB 0.1 0.1 DAWLAT ABAD 0.0 0.0

Ghazni 0.5 0.4 ANDAR 0.9 0.5 4

Standard Cows per Deviation Province District Family (SD) AJRISTAN 0.7 0.4 QARA BAGH 0.6 0.4 GIRO 0.6 0.5 MALISTAN 0.5 0.4 NAWUR 0.4 0.6 DIH YAK 0.4 0.3 JAGHATU 0.4 0.4 MUQUR 0.4 0.3 MARKAZ GHAZNI 0.3 0.4 AB BAND 0.3 0.3 KHOJA OMARY 0.3 0.2 WAGHAZ 0.3 0.2 GELAN 0.3 0.3 ZANA KHAN 0.2 0.3 JAGHURI 0.2 0.3 NAWA 0.2 0.1

Ghor 0.6 0.4 LAL WA SARJANGAL 0.7 0.3 SHAHRAK 0.4 0.3 TULAK 0.3 0.3

Hilmand 0.8 0.6 KHANSHEN 1.2 1.0 GARMSER 1.0 0.9 NAWA 1.0 0.6 REG 0.9 0.2 KAJAKI 0.9 0.5 SANGIN 0.9 0.4 GERISHK 0.9 0.7 NAD ALI 0.8 0.6 MARJA 0.7 0.3 LASHKAR GAH 0.7 0.4 MUSA QALA 0.7 0.8 BAGHRAN 0.6 0.3 DISHU 0.5 0.4 WASHER 0.3 0.4 NAW ZAD 0.3 0.3

Hirat 0.3 0.4 INJIL 0.4 0.4 5

Standard Cows per Deviation Province District Family (SD) OBE 0.3 0.3 GUZARA 0.3 0.5 KUSHKI KUHNA 0.3 0.4 ZINDA JAN 0.3 0.6 CHISHTI SHARIF 0.3 0.3 GULRAN 0.3 0.4 ADRASKAN 0.3 0.4 FARSI 0.3 0.2 RABAT I SANGI 0.3 0.3 SHINDAND 0.2 0.3 PASHTUN ZARGHUN 0.2 0.2 KARUKH 0.2 0.2 GHORYAN 0.2 0.2 KOHSAN 0.1 0.1

Jawzjan 0.2 0.3 QARQIN 1.3 0.3 KHAMAB 0.9 0.4 DARZAB 0.2 0.1 MARKAZ 0.2 0.2 FAYZ ABAD 0.2 0.1 AQCHA 0.1 0.1 KHWAJA DU KOH 0.1 0.1 MARDYAN 0.1 0.1 MINGAJEK 0.1 0.1 ANDKHOY 0.1 0.1 KHANI CHAHAR BAGH 0.1 0.1 QURGHAN 0.1 0.1 QOSHTEPA 0.1 0.1 QARAMQOL 0.1 0.1

Kabul 0.3 0.4 MUSAYI 0.8 0.4 SUROBI 0.8 0.5 BAGRAMI 0.6 0.4 CHAHAR ASYAB 0.6 0.4 SHAKARDARA 0.6 0.2 FARZA 0.5 0.4 DEH SABZ 0.3 0.2 PAGHMAN 0.3 0.2 KHAKI JABBAR 0.3 0.4 6

Standard Cows per Deviation Province District Family (SD) QARA BAGH 0.1 0.1 GULDARA 0.1 0.1 KALAKAN 0.1 0.1 ISTALIF 0.1 0.0 MIR BACHA KOT 0.1 0.1

Kabul City 0.0 0.1 NAHYA 7 0.1 0.2 NAHYA 14 0.1 0.2 NAHYA 16 0.1 0.1 NAHYA 9 0.1 0.1 NAHYA 5 0.1 0.1 NAHYA 10 0.0 0.1 NAHYA 11 0.0 0.0 NAHYA 12 0.0 0.0 NAHYA 8 0.0 0.0 NAHYA 6 0.0 0.0 NAHYA 4 0.0 0.1 NAHYA 15 0.0 0.0 NAHYA 3 0.0 0.0 NAHYA 2 0.0 0.0 NAHYA 1 0.0 0.0

Kandahar 0.5 0.4 ARGHANDAB 0.8 0.8 NESH 0.7 0.4 SHAH WALI KOT 0.6 0.5 MAYWAND 0.6 0.4 PANJWAYI 0.6 0.3 GHORAK 0.5 0.5 JARRI 0.5 0.3 DAMAN 0.5 0.5 ARGHISTAN 0.5 0.4 KHAKREZ 0.5 0.3 MARUF 0.4 0.4 MINASHEEN 0.4 0.2 SHEGAH 0.4 0.7 DAND 0.4 0.3 SPIN BOLDAK 0.3 0.2 KANDAHAR 0.1 0.1 REG 0.1 0.1 7

Standard Cows per Deviation Province District Family (SD) SHORABAK 0.0 0.1

Kapisa 0.8 0.4 MARKAZ MAHMUDRAQI 1.1 0.3 HISA AWAL KOHISTAN 1.0 0.6 KOHBAND 1.0 0.4 HISA DOWM KOHISTAN 1.0 0.3 NIJRAB 0.7 0.3 ALASAY 0.5 0.3 TAGAB 0.5 0.3

Khost 2.4 1.6 JAJI MAYDAN 4.7 2.8 BAK 3.1 1.3 GURBUZ 2.9 1.4 SPERA 2.5 2.4 YAQUBI 2.4 0.7 QALANDAR 2.3 1.1 NADIR SHAH KOT 2.3 0.7 ALISHIR 2.3 1.3 SABRI YAQUBI 2.1 0.9 MUSA KHEL 2.1 1.5 MARKAZ KHOST 1.9 0.9 ISMAIL KHEL 1.9 0.7 TANI 1.8 0.8

Kunar 1.9 4.7 CHAWKAY 3.6 13.8 KHAS KUNAR 2.8 2.0 SHIGAL 2.5 1.1 MANOGUY 2.2 0.8 NOORGAL 1.9 0.8 ASMAR 1.6 1.0 WATA PUR 1.4 1.1 NARI 1.4 1.0 NARANG 1.3 0.7 SIRKANAY 1.3 0.7 MANAWARA 1.2 0.6 DANGAM 1.1 0.3 MARKAZ ASADABAD 1.0 0.4 CHAPA DARA 0.9 0.3 8

Standard Cows per Deviation Province District Family (SD)

Kunduz 1.1 1.3 CHAHAR DARA 1.7 1.0 IMAM SAHIB 1.6 2.2 ALI ABAD 1.1 1.5 MARKAZ KUNDUZ 1.1 0.5 QALA ZAL 0.9 0.4 DASHT ARCHI 0.8 1.1 KHAN ABAD 0.5 0.4

Laghman 1.9 1.7 QARGHAYI 2.4 1.7 DAWLAT SHAH 2.1 1.9 MARKAZ MIHTERLAM 2.1 2.3 ALISHING 1.6 1.0 ALINGAR 1.3 0.9

Logar 0.7 0.5 PULI ALAM 0.9 0.7 BARAKI BARAK 0.8 0.5 KHARWAR 0.5 0.3 MUHAMMAD AGHA 0.5 0.3 AZRA 0.5 0.4 CHARKH 0.4 0.3 KHOSHI 0.2 0.2

Nangarhar 1.3 2.5 DUR BABA 3.5 14.8 KAMA 2.8 1.1 GOSHTA 2.2 1.3 SHEWA 2.2 1.0 HISARAK 1.9 0.6 SHERZAD 1.8 1.0 BIHSUD 1.8 1.3 BATI KOT 1.7 1.1 KUZ KUNAR 1.7 1.1 DIH BALA 1.7 1.0 GHANI KHEL 1.5 0.9 LAL PUR 1.5 1.0 MUHMANDARA 1.4 1.0 DARA I NOOR 1.3 0.6 9

Standard Cows per Deviation Province District Family (SD) PACHIR WA AGAM 1.3 0.7 KUZ KUNAR SHEWA 1.2 1.1 KHOGYANI 1.0 0.9 KHOGYANI WAZIR 1.0 0.4 NAZEYAN 1.0 0.8 GHANI KHEL SHINWARI 0.8 0.5 SURKH ROD 0.7 0.5 RODAT 0.7 0.4 KOT 0.6 0.4 CHAPARHAR 0.6 0.4 ACHIN 0.6 0.3 MARKAZ JALAL ABAD 0.4 0.5

Nimroz 0.4 0.4 CHAHAR BURJAK 0.6 0.3 CHAKHANSUR 0.5 0.5 KHASH ROD 0.5 0.4 KANG 0.3 0.5 DELARAM 0.2 0.1 MARKAZ ZARANJ 0.1 0.2

Nuristan 1.9 1.2 WAMA 2.9 1.8 MANDOL 2.0 1.1 BARGI MATAL 1.9 0.9 WIGAL 1.8 1.1 NURISTAN 1.4 0.6 KAMDESH 1.4 0.5 DO AIB 1.2 0.5

Paktika 0.6 0.5 ZIRUK 1.5 1.0 MATA KHAN 1.3 0.5 MARKAZ SHARANA 1.2 0.7 YAYA KHEL 1.0 0.4 NIKA 1.0 0.4 GAYAN 0.8 0.2 URGUN 0.8 0.5 YOUSUF KHEL 0.6 0.4 DELA KHOSHMAND 0.6 0.3 JANI KHEL 0.6 0.4 10

Standard Cows per Deviation Province District Family (SD) OMNA 0.5 0.5 GOMAL 0.5 0.3 KHIR KOT 0.5 0.4 SAROBI 0.5 0.2 WOR MAMAY 0.4 0.3 SAR HAWZA 0.3 0.4 WAZA KHWA 0.2 0.2

Paktya 1.3 1.0 JANI KHEL 2.9 1.9 DAND WA PATAN 1.8 0.7 ZURMAT 1.6 0.8 CHAMKANI 1.5 0.5 SAYED KARAM 1.2 0.4 DOWAMANDA SHAMAL 1.1 0.4 JAJI 1.1 0.7 WAZA JADRAN 1.0 0.4 AHMAD KHEL 0.8 0.4 LIJA MANGAL 0.7 0.5 GARDEZ 0.7 0.8 ADMA 0.7 0.4 SHWAK 0.6 0.3

Parwan 0.4 0.4 HISA AWALI PANJSHIR 1.1 0.8 HISA SOUM PANJSHIR 0.7 0.4 HISA CHAORUM PANJSHIR 0.7 0.5 HISA DAOUM PANJSHIR 0.6 0.3 SURKHI PARSA 0.5 0.4 SHIKH ALI 0.5 0.3 BAGRAM 0.5 0.3 SAYED KHEL 0.4 0.2 JABALUSARAJ 0.4 0.3 SHINWARI 0.3 0.2 SHINWARI GHORBAND 0.3 0.3 SALANG 0.3 0.2 KOHISAFI 0.3 0.3 CHAHARIKAR 0.3 0.3 SIAGIRD GHORBAND 0.2 0.1

Samangan 0.2 0.3 11

Standard Cows per Deviation Province District Family (SD) RUYI DU AB 0.5 0.3 HAZRATI SULTAN 0.4 0.5 AYBAK 0.3 0.2 KHULM 0.2 0.2 KHARAM SARAGH 0.2 0.2 DARA I SUF 0.2 0.2 KALDAR 0.2 0.2 DARA I SUF SAFLA 0.0 0.1

Saripul 0.4 0.5 SAYED ABAD 1.1 1.1 SAYYAD 0.6 0.9 SARIPUL 0.5 0.5 SUZMA QALA 0.5 0.4 BALKHAB 0.4 0.2 SANG CHARAK 0.2 0.2 KOHISTANAT 0.0 0.1

Takhar 0.8 0.7 DARQAD 1.6 0.6 WARSAJ 1.4 1.1 KHWAJA BAHWADDIN 1.3 0.6 YANGI QALA 1.2 1.2 BAHARAK 1.0 0.6 TALUQAN 0.9 0.8 KALAFGAN 0.7 0.5 ISHKAMISH 0.6 0.5 DASHTE QALA 0.6 0.4 RUSTAQ 0.6 0.5 CHAL 0.5 0.2 KHWAJA GHAR 0.5 0.2 CHA AAB 0.4 0.3 BANGI 0.4 0.2 FARKHAR 0.4 0.1 NAMAK AAB 0.3 0.2 HAZAR SOMOCH 0.3 0.2

Uruzgan 1.0 0.9 TIRIN KOT 1.7 1.1 DIHRAWUD 1.2 0.9 CHORA 1.0 0.8 12

Standard Cows per Deviation Province District Family (SD) CHAR CHEENA 0.9 0.4 KHAS URUZGAN 0.9 0.7 KIJRAN 0.8 1.1 GIZAB 0.7 0.4 SHAHRISTAN 0.6 0.7 DAY KUNDI 0.3 0.3

Wardak 0.4 0.4 HISA AWALI BIHSUD 0.7 0.5 MAYDAN SHAHR 0.7 0.5 MAYDAN SHAHR KOTI ASHRO 0.6 0.4 MARKAZ BIHSUD 2 0.5 0.4 KOTI ASHRO 0.5 0.3 JALREZ 0.5 0.3 DAY MIRDAD 0.4 0.3 CHAK 0.3 0.3 NIRKH 0.3 0.3 MARKAZ BIHSUD 0.3 0.2 SAYED ABAD 0.3 0.2 JAGHATU 0.2 0.2

Zabul 0.3 0.4 SHAHRE SAFA 0.6 0.4 KHAKI AFGHAN 0.4 0.5 SHAHJOY 0.4 0.4 QALAT 0.4 0.5 SHINKAY 0.4 1.0 ARGHANDAB 0.4 0.5 DAYCHOPAN 0.3 0.3 ATGHAR 0.3 0.2 MIZAN 0.2 0.3 SEYOURAY 0.2 0.3 NAWBAHAR 0.2 0.2 SHAMULZAYI 0.1 0.2

Overall average 0.7 1.1 13 APPENDIX 4 YOUNG STOCK ON A DISTRICT BASIS

Standard Young per Young per Young per Province District Deviation cow ewe SD doe SD (SD) BADAKHSHAN 1.3 0.8 1.3 1.2 1.3 0.9 KHWAHAN 3.0 1.0 3.6 1.2 3.2 1.1 SHAHRI BUZURG 2.1 0.4 2.4 0.7 2.4 0.6 ISHKASHIM 2.0 0.5 2.0 0.8 2.0 0.7 SHIGHNAN 1.9 1.2 1.8 1.8 1.9 2.2 ZEBAK 1.9 0.7 1.8 0.2 1.8 1.0 KOOF 1.8 0.3 1.7 0.3 1.8 0.2 WARDOOJ 1.8 0.5 1.7 3.8 1.7 0.3 SHIKI DARWAZ 1.5 0.4 1.7 0.6 1.6 0.5 FAYZ ABAD 1.5 1.1 1.5 0.6 1.5 0.4 KISHIM 1.5 0.6 1.4 0.3 1.5 1.1 YAFTAL BALA 1.5 0.2 1.4 1.5 1.4 1.5 KURAN WA 1.5 0.8 1.4 1.4 1.3 0.4 MUNJAN ARGHONJ KHWA 1.5 0.5 1.3 0.5 1.3 0.6 KOHISTAN RAGH 1.4 0.5 1.3 0.4 1.2 1.1 ARGO 1.3 0.6 1.2 1.1 1.2 0.5 JURM 1.3 0.5 1.2 0.4 1.2 0.3 KOHISTAN 1.3 0.5 1.2 0.4 1.2 0.4 YAFTAL PAYAN 1.2 0.5 1.2 0.4 1.2 0.5 NASI DARWAZ 1.2 0.4 1.1 0.4 1.1 0.7 TAGAB KISHIM 1.2 1.2 1.1 0.6 1.0 0.9 DARWAZ BALA 1.2 0.4 1.1 1.1 1.0 0.3 RAGHISTAN 1.1 1.2 1.0 0.7 1.0 0.4 DARAEEM 1.0 0.3 1.0 0.6 1.0 0.8 SHOHADA 1.0 0.5 1.0 0.4 1.0 0.4 TESHKAN 1.0 0.3 1.0 0.3 1.0 0.9 YAMGAN 0.8 0.4 0.9 0.3 1.0 0.3 YAWANRAGH 0.8 0.3 0.8 0.4 0.8 0.2 BAHARAK 0.8 0.4 0.7 0.4 0.7 0.4 WAKHAN 0.7 0.5 0.6 0.4 0.7 0.2 KHASH 0.5 0.2 0.4 0.1 0.4 0.1

BADGHIS 1.7 1.9 1.6 1.5 1.7 1.4 GHORMACH 2.2 0.9 2.1 0.9 2.7 1.4 QALAY I NAW 2.0 3.6 2.1 0.6 2.1 0.6 QADIS 1.9 1.1 2.0 3.6 2.0 0.8 2

Standard Young per Young per Young per Province District Deviation cow ewe SD doe SD (SD)

MURGHAB 1.5 1.1 1.9 0.5 1.9 1.7 BALA MURGHAB 1.4 0.7 1.7 1.4 1.5 1.8 DARA-I-BOUM 1.3 1.0 1.5 1.5 1.5 1.2 JAWAND 1.2 0.7 1.2 0.6 1.4 1.0 MUQUR 0.8 0.7 0.9 0.6 1.3 1.6 SANGE AATASH 0.8 1.0 0.6 0.8 0.5 0.4

BAGHLAN 0.9 0.8 0.4 0.8 0.5 0.9 ANDARAB 1.6 0.8 0.7 0.9 1.1 1.3 DEH SALA 1.4 0.3 0.6 0.3 0.9 1.3 ANDARAB BAGHLAN 1.4 0.7 0.6 0.4 0.7 0.3 QADEEM DEH SALAH 1.4 1.2 0.5 0.8 0.6 0.9 ANDARAB BAGHLAN 1.1 0.5 0.5 0.3 0.5 0.4 BAGHLAN JADIDD 1.0 0.1 0.5 1.9 0.4 0.5 DAHANA I GHORI 0.9 0.6 0.4 0.6 0.4 0.4 KHOST WA FIRING 0.9 0.9 0.4 0.4 0.4 0.4 DUSHI 0.9 0.6 0.4 0.3 0.4 0.2 NAHRIN 0.8 0.8 0.3 0.1 0.2 0.4 KHINJAN 0.8 0.3 0.3 0.6 0.2 0.5 BANOO ANDARAB 0.8 1.0 0.3 0.1 0.2 0.5 PULI HISARI 0.7 0.7 0.1 0.1 0.2 0.3 ANDARAB PULI KHUMRI 0.7 0.4 0.1 0.1 0.1 0.1 BAGHLAN JADID 0.7 0.6 0.1 0.1 BURKA 0.6 0.7 0.0 0.0 0.6 0.9 TALA WA BARFUK 0.4 0.2 1.6 1.5 0.5 0.6 1.1 2.8 BALKH 0.6 0.8 1.5 0.7 0.9 0.3 ZAREH 1.7 1.5 0.8 0.3 0.8 0.3 SHOLGARA 0.9 0.8 0.7 0.9 0.7 0.6 CHAHAR KINT 0.9 0.6 0.7 0.9 0.7 0.5 DIHDADI 0.8 0.4 0.7 1.0 0.7 0.5 KISHINDEH 0.8 0.9 0.5 0.3 0.6 0.4 DAWLAT ABAD 0.6 0.5 0.4 0.3 0.5 0.6 NAHRI SHAHI 0.5 0.5 0.4 0.3 0.5 0.7 CHAHAR BOLAK 0.5 0.5 0.4 0.3 0.5 0.5 CHIMTAL 0.5 0.4 0.3 0.2 0.5 0.7 SHORTEPA 0.5 0.3 0.3 0.3 0.5 0.4 MARMUL 0.5 0.5 0.3 0.2 0.4 0.4 3

Standard Young per Young per Young per Province District Deviation cow ewe SD doe SD (SD)

MAZAR I SHARIF 0.5 0.9 0.3 0.4 0.2 0.3 KOHI ALBURZ 0.5 0.6 0.3 0.2 CHAHEE 0.4 0.3 0.2 0.3 1.0 0.7 BALKH 0.4 0.3 1.2 0.5 0.9 0.6 1.0 0.9 BAMYAN 1.0 0.6 1.1 0.5 0.9 0.7 PANJAB 1.2 0.6 1.1 0.7 0.9 0.7 YAKAWLANG 1.0 0.5 0.9 0.4 0.7 1.1 WARAS 1.0 0.5 0.7 0.4 0.6 0.4 KAMHARD 0.9 0.4 0.6 1.2 0.6 0.6 SAIGHAN 0.9 0.6 0.6 0.3 BAMYAN 0.8 0.7 0.5 0.3 1.4 1.7 SHIBAR 0.6 0.4 2.3 2.0 1.5 2.4 2.2 0.7 FARAH 1.0 1.3 2.3 1.0 1.9 2.1 QALAY I KAH 2.3 1.2 2.1 3.1 1.7 1.7 BALA BULUK 2.0 2.6 1.9 2.4 1.7 2.6 LASH WA JUWAYN 1.4 1.6 1.9 1.2 1.3 0.9 GULISTAN 1.3 0.8 1.9 6.0 1.2 1.1 SHIB KOH QALAY I 1.2 0.6 1.8 2.9 1.1 1.9 KAH PUR CHAMAN 1.1 0.9 1.7 1.9 1.1 1.0 PUSHTE ROD 0.8 0.5 1.5 1.1 1.0 0.6 ANAR DARA 0.8 0.5 1.1 1.1 0.9 1.0 KHAKI SAFED 0.8 0.4 0.9 1.3 0.8 0.9 BAKWA 0.7 0.7 0.8 0.8 0.5 0.6 QALAY-I-KAH 0.7 0.9 0.7 0.6 QALAY I KAH 0.6 0.7 0.6 0.6 1.0 1.7 PUSHT KOH MARKAZ FARAH 0.5 0.5 4.1 2.8 0.8 1.7 1.4 2.4 FARYAB 0.7 0.8 4.3 3.3 1.0 0.3 DAWLAT ABAD 1.9 2.6 1.4 2.3 0.9 0.6 QAYSAR 1.0 0.5 0.9 0.3 0.8 1.8 KOHISTAN 1.0 0.7 0.5 0.3 0.5 0.4 PASHTUN KOT 0.9 0.8 0.5 1.0 0.5 0.3 MAYMANA 0.8 0.5 0.4 0.3 0.5 0.4 ALMAR 0.6 0.6 0.4 0.2 0.5 0.3 KHWAJA MUSA 0.6 0.8 0.4 0.3 0.5 1.0 SHIRIN TAGAB 0.5 0.7 0.3 0.3 0.4 0.3 BILCHIRAGH(GURZI 0.5 0.4 0.3 0.2 0.2 0.2 WAN) 4

Standard Young per Young per Young per Province District Deviation cow ewe SD doe SD (SD)

KHWAJA SABZ 0.5 0.4 0.3 0.2 POSH BILCHIRAGH 0.3 0.3 0.2 0.1 1.3 1.3 GURZEWAN 0.3 0.3 3.1 2.3 1.5 1.6 2.2 1.0 GHAZNI 1.4 1.1 3.2 2.3 1.6 1.8 AJRISTAN 2.6 2.1 2.4 2.0 1.5 2.2 DIH YAK 2.3 2.4 2.2 0.9 1.5 0.7 MALISTAN 2.2 1.4 2.1 2.3 1.5 0.6 ZANA KHAN 1.9 1.1 1.9 2.6 1.2 0.9 AB BAND 1.8 1.1 1.6 1.2 1.1 0.6 ANDAR 1.8 0.7 1.5 0.7 1.1 1.1 JAGHURI 1.6 0.8 1.4 0.9 1.1 0.5 JAGHATU 1.4 0.9 1.3 0.7 1.0 0.7 NAWA 1.3 0.6 1.2 1.0 1.0 0.8 WAGHAZ 1.3 0.7 1.1 2.0 1.0 1.0 MUQUR 1.2 0.4 1.1 0.9 0.8 0.9 KHOJA OMARY 1.2 0.4 1.0 1.1 0.8 0.7 MARKAZ GHAZNI 1.2 0.5 1.0 0.5 0.6 0.3 GIRO 1.1 0.6 0.9 0.6 0.5 0.5 QARA BAGH 0.9 0.7 0.8 0.6 GELAN 0.8 0.6 0.5 0.3 1.3 1.0 NAWUR 0.7 0.4 1.9 1.0 1.2 0.9 1.8 1.8 GHOR 1.3 1.1 1.8 1.1 1.1 0.7 TULAK 1.9 1.7 1.7 0.9 SHAHRAK 1.8 0.9 0.9 0.7 1.1 1.0 LAL WA 1.1 0.8 1.6 0.8 SARJANGAL 1.5 2.0 1.6 2.1 HILMAND 1.1 1.1 3.0 4.8 1.3 0.9 NAWA 1.7 2.8 2.4 2.5 1.3 1.1 GERISHK 1.6 1.3 2.3 2.9 1.3 1.8 MARJA 1.2 1.2 1.7 1.9 1.3 0.9 GARMSER 1.2 0.6 1.7 1.6 1.3 1.1 NAD ALI 1.1 0.6 1.6 1.5 1.2 0.5 NAW ZAD 1.1 0.5 1.5 1.6 1.1 0.8 KAJAKI 1.1 0.7 1.4 3.3 1.1 1.0 SANGIN 1.1 0.7 1.4 0.9 1.0 0.8 LASHKAR GAH 1.0 0.7 1.3 1.3 0.9 0.9 WASHER 1.0 1.0 1.2 1.6 0.9 0.5 5

Standard Young per Young per Young per Province District Deviation cow ewe SD doe SD (SD)

KHANSHEN 0.9 0.4 1.1 0.6 0.4 0.3 MUSA QALA 0.8 0.6 0.9 0.7 0.3 0.1 REG 0.8 0.9 0.8 1.2 DISHU 0.6 0.4 0.5 0.4 0.9 4.7 BAGHRAN 0.6 0.5 1.5 1.2 0.9 1.2 1.3 14.2 HIRAT 1.1 1.1 1.4 2.8 1.3 0.4 PASHTUN 1.7 2.2 1.4 0.5 1.3 3.3 ZARGHUN OBE 1.7 1.3 1.4 1.0 1.1 0.9 GHORYAN 1.5 1.1 1.2 1.8 0.9 0.9 KARUKH 1.4 1.4 1.0 0.8 0.8 0.7 INJIL 1.3 1.2 0.9 1.0 0.8 1.1 ZINDA JAN 1.3 0.8 0.8 1.8 0.7 1.3 GULRAN 1.2 1.2 0.8 0.6 0.7 0.7 GUZARA 1.2 0.3 0.7 0.4 0.7 1.1 KUSHKI KUHNA 1.2 0.9 0.6 0.2 0.6 0.5 FARSI 0.9 0.5 0.5 0.4 0.6 0.4 KOHSAN 0.9 0.5 0.5 0.3 0.6 0.4 SHINDAND 0.9 0.8 0.5 0.3 0.4 0.3 CHISHTI SHARIF 0.8 0.8 0.4 0.2 ADRASKAN 0.5 0.5 0.4 0.5 0.7 0.9 RABAT I SANGI 0.4 0.6 1.5 1.7 0.6 0.9 0.8 0.3 JAWZJAN 0.5 0.4 1.2 2.1 0.8 0.4 KHAMAB 0.7 0.6 0.9 0.4 0.8 0.6 ANDKHOY 0.6 0.4 0.6 0.3 0.6 1.0 MARDYAN 0.6 0.3 0.6 0.2 0.5 0.6 MARKAZ 0.6 0.5 0.6 0.3 0.5 0.3 AQCHA 0.5 0.4 0.5 0.7 0.5 0.3 QARQIN 0.5 0.2 0.4 0.3 0.4 0.2 FAYZ ABAD 0.5 0.5 0.4 0.2 0.4 0.3 DARZAB 0.5 0.5 0.4 0.2 0.3 0.2 MINGAJEK 0.4 0.3 0.3 0.6 0.1 0.2 QURGHAN 0.3 0.2 0.2 0.2 0.1 0.2 QOSHTEPA 0.3 0.2 0.1 0.1 0.1 0.2 KHANI CHAHAR 0.3 0.3 0.1 0.1 BAGH QARAMQOL 0.2 0.3 0.1 0.0 1.3 3.2 KHWAJA DU KOH 0.1 0.2 2.4 1.2 1.5 1.9 2.2 9.3 6

Standard Young per Young per Young per Province District Deviation cow ewe SD doe SD (SD) KABUL 1.2 1.0 3.1 3.4 1.3 1.0 SUROBI 1.6 2.0 2.4 1.2 1.3 1.3 DEH SABZ 1.5 0.7 1.7 1.7 1.3 1.2 QARA BAGH 1.3 1.1 1.7 1.5 1.2 0.7 PAGHMAN 1.3 0.7 1.4 1.4 1.2 1.0 MIR BACHA KOT 1.2 1.9 1.4 1.7 1.1 0.9 KHAKI JABBAR 1.2 0.8 1.4 1.3 1.1 0.8 SHAKARDARA 1.1 0.3 1.4 2.1 1.1 1.6 CHAHAR ASYAB 1.1 0.9 1.1 1.9 0.9 0.6 MUSAYI 1.1 0.3 1.0 0.8 0.8 1.9 ISTALIF 1.0 0.7 0.9 0.4 0.6 0.8 BAGRAMI 1.0 0.5 0.9 0.7 0.6 0.4 GULDARA 0.8 0.5 0.7 1.9 FARZA 0.6 0.6 0.6 0.5 1.2 0.9 KALAKAN 0.6 0.3 2.0 1.8 1.7 2.1 1.6 1.0 KABUL CITY 1.0 0.8 5.3 3.0 1.5 0.8 NAHYA 9 1.9 0.6 1.8 0.6 1.4 0.7 NAHYA 12 1.4 0.4 1.7 1.5 1.3 0.4 NAHYA 6 1.4 1.1 1.5 0.8 1.2 0.9 NAHYA 5 1.3 0.9 1.4 1.1 1.2 0.4 NAHYA 7 1.2 0.6 1.4 1.1 1.1 1.2 NAHYA 10 1.1 0.6 1.4 0.8 1.0 0.7 NAHYA 8 1.1 1.0 1.2 1.0 1.0 0.5 NAHYA 1 1.0 0.0 1.1 0.3 0.9 0.6 NAHYA 15 1.0 0.6 0.7 0.3 0.9 0.3 NAHYA 16 1.0 0.3 0.7 0.7 0.7 0.7 NAHYA 2 0.8 0.6 0.7 1.0 0.6 0.4 NAHYA 14 0.7 0.4 0.5 0.4 0.4 0.4 NAHYA 4 0.7 0.7 0.5 0.6 NAHYA 11 0.5 0.3 0.3 0.4 0.9 0.9 NAHYA 3 0.1 0.3 1.8 0.6 1.0 1.5 1.1 1.5 KANDAHAR 0.8 0.6 2.4 4.3 1.1 0.4 REG 1.2 1.1 1.8 2.9 1.0 1.1 PANJWAYI 1.2 0.3 1.5 0.8 1.0 1.2 SHORABAK 1.1 0.5 1.2 1.6 1.0 0.6 GHORAK 1.1 0.4 1.2 1.6 0.9 1.0 NESH 1.1 0.8 1.1 1.5 0.9 0.4 MARUF 1.0 1.0 1.0 0.3 0.8 0.8 KHAKREZ 1.0 0.4 1.0 0.6 0.8 0.3 7

Standard Young per Young per Young per Province District Deviation cow ewe SD doe SD (SD)

MAYWAND 0.9 0.4 0.9 0.7 0.7 0.9 MINASHEEN 0.9 0.4 0.9 0.6 0.7 0.9 DAMAN 0.9 0.7 0.8 0.8 0.7 0.4 ARGHISTAN 0.8 0.6 0.8 0.8 0.6 0.3 SHAH WALI KOT 0.8 0.5 0.7 0.4 0.6 0.6 SPIN BOLDAK 0.7 0.4 0.7 0.6 0.6 0.6 DAND 0.7 0.5 0.6 0.3 0.5 0.3 JARRI 0.7 0.4 0.6 0.7 0.4 0.4 ARGHANDAB 0.6 0.3 0.6 0.6 SHEGAH 0.6 0.3 0.2 0.3 1.3 1.2 KANDAHAR 0.3 0.3 2.0 1.5 1.8 1.5 1.8 1.3 KAPISA 1.6 0.8 2.2 2.2 1.4 1.5 TAGAB 2.4 1.2 2.1 2.0 1.3 0.3 ALASAY 1.7 0.9 2.0 1.6 1.0 0.8 NIJRAB 1.6 0.7 1.7 1.4 0.9 0.4 HISA DOWM 1.6 0.5 1.5 0.7 0.5 0.5 KOHISTAN KOHBAND 1.4 0.5 1.3 0.4 MARKAZ 1.1 0.3 1.2 0.9 0.9 2.0 MAHMUDRAQI HISA AWAL 0.9 0.3 2.7 8.7 KOHISTAN 0.7 0.8 1.2 0.7 KHOST 0.9 0.7 2.4 4.5 1.2 1.1 SABRI YAQUBI 1.5 0.7 1.1 1.1 1.1 0.5 SPERA 1.2 0.9 1.0 0.7 0.9 1.9 YAQUBI 1.2 0.3 0.9 0.5 0.8 0.3 QALANDAR 1.2 0.2 0.9 0.4 0.8 0.4 MARKAZ KHOST 1.0 1.4 0.9 0.5 0.8 0.6 NADIR SHAH KOT 1.0 0.3 0.8 0.6 0.8 0.3 TANI 1.0 0.4 0.7 1.0 0.7 0.3 MUSA KHEL 0.8 0.3 0.7 0.3 0.7 0.4 ALISHIR 0.8 0.4 0.6 0.5 0.6 0.5 JAJI MAYDAN 0.8 0.5 0.5 0.5 0.5 0.4 BAK 0.7 0.2 0.5 0.4 ISMAIL KHEL 0.7 0.2 0.3 0.4 1.3 1.0 GURBUZ 0.6 0.3 1.9 2.7 1.4 1.0 1.9 1.4 KUNAR 1.4 0.9 2.1 1.3 1.8 1.0 MARKAZ 2.1 0.9 1.8 1.0 1.6 1.1 ASADABAD 8

Standard Young per Young per Young per Province District Deviation cow ewe SD doe SD (SD)

NARANG 1.9 1.2 1.6 1.1 1.6 0.7 SIRKANAY 1.7 1.0 1.5 0.8 1.5 1.0 CHAWKAY 1.6 1.2 1.5 0.8 1.4 0.4 WATA PUR 1.5 1.0 1.4 0.8 1.2 0.3 KHAS KUNAR 1.5 0.9 1.4 0.9 1.2 0.9 NARI 1.5 0.7 1.3 0.5 1.1 0.5 CHAPA DARA 1.3 0.4 1.2 0.3 1.0 0.4 MANAWARA 1.3 0.5 1.2 0.7 1.0 0.7 DANGAM 1.3 0.5 1.1 0.4 0.9 0.6 ASMAR 1.2 0.4 1.1 0.8 0.0 0.1 MANOGUY 1.1 0.6 0.9 0.7 NOORGAL 1.1 0.4 0.0 0.0 1.4 1.1 SHIGAL 1.1 0.5 2.1 1.7 1.5 1.5 1.7 1.0 KUNDUZ 1.5 0.8 2.4 1.9 1.4 1.0 QALA ZAL 2.1 0.8 1.6 2.0 1.3 0.4 KHAN ABAD 1.9 1.0 1.5 1.1 1.0 1.3 IMAM SAHIB 1.5 0.6 1.4 2.3 0.9 0.7 MARKAZ KUNDUZ 1.5 0.6 1.3 1.6 0.9 1.6 DASHT ARCHI 1.4 0.5 1.1 0.6 ALI ABAD 1.3 0.8 0.9 0.8 1.2 1.1 CHAHAR DARA 1.1 0.7 1.7 0.9 1.3 3.1 1.1 1.5 LAGHMAN 1.1 1.0 1.8 1.0 1.1 1.1 ALISHING 1.5 0.4 1.5 5.8 1.0 0.5 QARGHAYI 1.2 1.3 1.2 1.2 0.9 0.5 ALINGAR 1.1 1.4 1.0 0.8 MARKAZ 1.1 0.4 1.0 0.6 1.3 1.3 MIHTERLAM DAWLAT SHAH 0.8 0.5 2.5 1.6 2.3 2.8 1.5 1.6 LOGAR 1.3 0.9 5.1 6.6 1.1 0.7 KHARWAR 2.5 0.6 3.0 1.6 1.1 0.5 CHARKH 1.9 1.2 2.4 2.7 1.1 1.0 AZRA 1.2 0.6 2.3 2.1 1.0 1.4 MUHAMMAD 1.2 0.6 1.8 1.8 0.9 1.0 AGHA PULI ALAM 1.1 0.6 1.3 0.9 KHOSHI 1.1 0.8 1.2 1.2 1.5 3.1 BARAKI BARAK 1.0 0.7 3.7 13.0 2.1 3.7 2.6 2.5 9

Standard Young per Young per Young per Province District Deviation cow ewe SD doe SD (SD) NANGARHAR 1.2 1.0 8.1 7.0 2.6 1.6 MARKAZ JALAL 2.9 3.6 7.2 9.9 2.3 1.5 ABAD GHANI KHEL 2.0 1.0 5.4 9.9 2.3 1.9 SHINWARI KOT 1.8 1.0 3.5 4.2 2.0 1.1 KHOGYANI WAZIR 1.7 0.7 3.3 4.3 1.9 2.4 GHANI KHEL 1.7 0.9 3.2 5.9 1.6 1.5 KUZ KUNAR SHEWA 1.4 1.0 2.8 1.6 1.6 0.5 SHEWA 1.4 0.5 2.6 3.0 1.5 1.3 SHERZAD 1.4 0.6 2.4 1.8 1.4 0.4 DIH BALA 1.3 0.4 2.3 2.4 1.3 0.5 HISARAK 1.3 0.4 2.0 1.9 1.3 1.0 SURKH ROD 1.2 0.7 2.0 2.5 1.3 1.4 KHOGYANI 1.2 1.0 1.6 1.2 1.3 1.1 CHAPARHAR 1.1 0.5 1.5 2.0 1.1 1.0 DARA I NOOR 1.1 0.5 1.5 0.4 1.1 0.8 KUZ KUNAR 1.1 0.5 1.4 1.6 1.1 1.0 KAMA 1.0 0.4 1.2 3.4 1.1 0.5 ACHIN 1.0 0.9 1.2 0.3 1.0 1.4 NAZEYAN 1.0 0.5 1.2 1.0 1.0 0.4 DUR BABA 1.0 0.4 1.1 0.5 0.9 0.4 RODAT 0.9 0.5 1.0 1.0 0.9 0.7 PACHIR WA AGAM 0.9 0.5 0.9 0.5 0.8 0.4 GOSHTA 0.9 0.5 0.9 0.5 0.8 0.4 MUHMANDARA 0.8 0.6 0.8 0.9 0.6 0.3 BIHSUD 0.7 0.3 0.6 0.5 LAL PUR 0.7 0.4 0.5 0.5 0.6 0.6 BATI KOT 0.6 0.3 0.8 0.9 0.5 0.7 0.7 0.4 NIMROZ 0.7 1.4 0.9 1.8 0.6 0.2 DELARAM 1.5 1.0 0.8 0.9 0.5 0.5 KHASH ROD 1.1 2.8 0.7 0.3 0.4 0.4 CHAHAR BURJAK 0.7 0.3 0.5 0.4 0.3 0.4 KANG 0.4 0.6 0.4 0.3 MARKAZ ZARANJ 0.4 0.5 0.3 0.3 1.9 11.4 CHAKHANSUR 0.4 0.5 4.8 26.0 1.4 0.9 1.7 1.5 NURISTAN 1.3 0.8 2.0 1.7 1.6 0.4 WAMA 1.8 1.6 1.6 0.8 1.2 0.6 BARGI MATAL 1.6 0.4 1.6 0.5 1.1 0.2 10

Standard Young per Young per Young per Province District Deviation cow ewe SD doe SD (SD)

MANDOL 1.3 0.4 1.2 0.3 1.0 0.2 WIGAL 1.2 0.5 1.1 0.3 0.7 0.3 KAMDESH 1.1 0.3 1.0 0.2 DO AIB 1.1 0.2 0.9 0.4 1.0 1.2 NURISTAN 0.9 0.2 1.7 1.0 1.2 1.0 1.5 3.0 PAKTIKA 1.1 0.6 1.9 1.4 1.5 0.4 SAROBI 1.7 0.9 1.7 1.3 1.2 0.6 SAR HAWZA 1.5 0.9 1.7 1.9 1.1 0.8 NIKA 1.4 0.8 1.5 0.9 1.1 0.9 GOMAL 1.4 0.7 1.4 0.6 1.0 0.6 URGUN 1.2 0.4 1.4 1.2 1.0 0.6 ZIRUK 1.2 0.6 1.3 2.0 0.9 0.8 WOR MAMAY 1.1 0.3 1.3 0.3 0.9 0.4 DELA KHOSHMAND 1.1 0.4 1.2 1.4 0.8 0.5 MARKAZ 1.0 0.5 1.2 1.9 0.8 0.4 SHARANA YOUSUF KHEL 0.9 0.4 1.2 0.7 0.8 0.6 JANI KHEL 0.9 0.2 1.0 0.6 0.6 0.3 KHIR KOT 0.9 0.5 0.9 0.3 0.6 0.4 MATA KHAN 0.9 0.3 0.8 0.6 0.5 0.3 YAYA KHEL 0.9 0.2 0.8 0.5 0.4 0.2 OMNA 0.8 0.4 0.7 0.4 WAZA KHWA 0.7 0.5 0.5 0.6 1.1 1.7 GAYAN 0.7 0.6 1.7 5.8 1.3 1.6 1.6 0.9 PAKTYA 1.1 0.6 2.3 1.7 1.2 0.5 LIJA MANGAL 1.5 1.9 1.9 2.6 1.1 0.4 CHAMKANI 1.3 0.4 1.5 2.0 1.1 0.7 ZURMAT 1.1 0.7 1.2 0.6 1.1 0.7 JAJI 1.1 0.3 1.1 1.2 1.0 0.4 DAND WA PATAN 1.0 0.3 1.0 0.4 1.0 1.3 DOWAMANDA 1.0 0.4 1.0 0.4 0.9 0.3 SHAMAL SAYED KARAM 1.0 0.3 0.9 0.4 0.9 0.7 AHMAD KHEL 1.0 0.4 0.7 0.5 0.8 0.3 SHWAK 1.0 0.4 0.7 0.7 0.8 0.4 GARDEZ 0.9 0.3 0.5 0.4 0.8 0.4 WAZA JADRAN 0.9 0.4 0.5 0.0 ADMA 0.9 0.4 0.3 0.7 1.2 1.3 JANI KHEL 0.8 0.3 2.3 0.8 11

Standard Young per Young per Young per Province District Deviation cow ewe SD doe SD (SD) 1.4 2.1 2.2 1.7 PARWAN 1.5 1.0 2.6 1.2 1.7 1.0 SHINWARI 2.4 0.8 2.5 5.8 1.4 0.4 KOHISAFI 2.0 1.1 2.2 3.1 1.3 0.5 SAYED KHEL 1.7 1.0 2.1 1.2 1.3 2.0 CHAHARIKAR 1.7 1.7 1.4 0.4 1.3 2.8 HISA DAOUM 1.7 0.4 1.4 0.9 1.2 1.1 PANJSHIR JABALUSARAJ 1.5 1.1 1.3 0.8 1.2 0.8 HISA SOUM 1.5 0.8 1.3 1.9 1.1 0.5 PANJSHIR SHINWARI 1.4 0.8 1.3 0.6 1.0 0.5 GHORBAND SHIKH ALI 1.4 0.7 1.1 1.4 1.0 1.0 SALANG 1.4 0.9 1.1 0.3 0.9 0.4 BAGRAM 1.4 0.5 1.0 0.7 0.8 1.2 HISA CHAORUM 1.4 1.1 1.0 0.4 0.0 0.0 PANJSHIR SURKHI PARSA 1.3 0.7 0.9 0.6 HISA AWALI 1.3 0.4 0.9 0.5 0.5 0.9 PANJSHIR SIAGIRD 1.0 0.5 2.4 1.2 GHORBAND 0.5 1.0 1.1 2.3 SAMANGAN 0.7 0.9 2.4 1.3 0.6 0.3 KALDAR 2.0 1.0 1.3 2.3 0.5 0.4 AYBAK 1.0 1.4 0.5 0.3 0.5 0.4 RUYI DU AB 0.9 0.5 0.4 0.5 0.3 0.3 DARA I SUF 0.7 0.7 0.3 0.4 0.3 0.4 DARA I SUF SAFLA 0.6 0.7 0.3 0.3 0.0 0.0 KHARAM SARAGH 0.5 0.6 0.3 0.3 HAZRATI SULTAN 0.4 0.5 0.0 0.1 0.5 0.5 KHULM 0.3 0.6 1.4 0.3 0.4 0.3 0.6 0.5 SARI PUL 0.7 0.6 0.5 0.3 0.5 1.0 KOHISTANAT 1.7 0.8 0.5 0.4 0.5 1.0 SANG CHARAK 0.8 0.7 0.4 0.4 0.5 0.3 BALKHAB 0.8 0.3 0.4 0.3 0.4 0.3 SUZMA QALA 0.6 0.5 0.3 0.2 0.4 0.2 SAYYAD 0.4 0.4 0.3 0.2 SAYED ABAD 0.3 0.3 1.0 0.6 SARI PUL 0.3 0.5 1.1 0.7 1.9 0.7 12

Standard Young per Young per Young per Province District Deviation cow ewe SD doe SD (SD) 1.6 0.5 1.5 0.5 TAKHAR 1.2 0.6 1.5 0.5 1.5 0.4 HAZAR SOMOCH 1.7 1.0 1.4 0.4 1.4 0.4 CHA AAB 1.7 0.5 1.3 0.2 1.3 0.4 DASHTE QALA 1.7 0.5 1.3 1.0 1.3 1.0 ISHKAMISH 1.6 0.8 1.3 0.4 1.1 0.5 NAMAK AAB 1.5 0.5 1.1 0.5 1.1 0.8 WARSAJ 1.4 0.3 1.1 0.6 1.0 0.4 YANGI QALA 1.3 0.3 1.0 0.4 1.0 0.5 FARKHAR 1.3 0.6 1.0 0.5 0.8 0.5 KHWAJA 1.3 0.3 1.0 1.6 0.8 0.6 BAHWADDIN BAHARAK 1.2 0.5 0.9 0.4 0.8 0.5 KALAFGAN 1.2 0.5 0.9 0.5 0.7 1.0 KHWAJA GHAR 1.2 0.6 0.9 0.6 0.7 0.6 BANGI 1.1 0.6 0.9 0.6 0.7 0.4 DARQAD 1.1 0.5 0.7 0.4 0.4 0.1 TALUQAN 1.1 0.5 0.4 0.2 CHAL 0.8 0.4 0.9 0.9 RUSTAQ 0.8 0.3 1.2 2.3 2.1 2.2 4.5 7.6 1.2 0.7 URUZGAN 1.1 1.0 2.7 2.6 1.1 0.6 DIHRAWUD 1.6 1.4 1.4 1.0 1.1 1.0 SHAHRISTAN 1.3 0.9 1.3 3.4 1.0 0.8 KHAS URUZGAN 1.3 0.6 1.2 0.7 0.9 0.4 CHAR CHEENA 1.3 0.5 0.9 0.3 0.7 0.7 TIRIN KOT 1.2 1.4 0.9 0.7 0.6 0.6 GIZAB 1.2 0.6 0.9 1.1 0.5 0.4 KIJRAN 1.1 0.4 0.5 0.4 CHORA 0.7 0.4 1.4 1.2 DAY KUNDI 0.7 0.7 1.9 3.0 2.0 2.1 5.1 8.4 1.6 1.3 WARDAK 1.5 0.8 4.1 3.0 1.6 0.8 DAY MIRDAD 1.9 1.0 3.6 3.8 1.6 1.6 SAYED ABAD 1.8 0.8 2.3 2.0 1.5 0.7 NIRKH 1.7 0.7 2.2 4.0 1.4 1.2 HISA AWALI BIHSUD 1.6 1.0 2.1 2.2 1.3 0.8 CHAK 1.5 0.8 1.6 1.4 1.1 0.8 JALREZ 1.4 0.6 1.5 0.8 0.9 0.7 MARKAZ BIHSUD 1.4 0.7 1.4 0.6 0.9 0.7 MAYDAN SHAHR 1.2 0.6 1.3 0.9 0.8 0.6 13

Standard Young per Young per Young per Province District Deviation cow ewe SD doe SD (SD)

MARKAZ BIHSUD 2 1.2 0.6 1.2 0.6 0.4 0.6 KOTI ASHRO 1.2 0.7 0.9 0.7 MAYDAN SHAHR 1.1 0.5 0.9 1.0 KOTI ASHRO JAGHATU 1.0 0.5 1.3 2.6 1.7 0.6 3.2 8.1 1.5 1.2 ZABUL 0.8 0.7 2.9 5.7 1.4 2.0 NAWBAHAR 1.9 1.2 2.8 3.8 0.8 0.6 QALAT 1.1 0.7 1.7 2.2 0.7 0.3 SEYOURAY 1.0 1.0 1.7 3.0 0.6 0.9 SHINKAY 0.9 0.6 1.5 1.2 0.6 0.3 MIZAN 0.9 0.6 1.0 1.7 0.6 0.7 SHAHRE SAFA 0.8 0.3 0.9 1.6 0.6 1.1 KHAKI AFGHAN 0.8 0.5 0.8 0.9 0.6 0.7 DAYCHOPAN 0.8 0.7 0.7 0.4 0.5 0.5 ATGHAR 0.8 0.4 0.6 0.5 0.4 0.3 SHAMULZAYI 0.8 0.8 0.5 1.2 ARGHANDAB 0.7 0.8 1.1 2.1 SHAHJOY 0.4 0.6 1.2 1.9

OVERALL 1.1 0.9 AVERAGE