Afghanistan: National Livestock Census 2003...livestock numbers and herd breakdown by age and sex (Appendix 1). Level I was designed to be conducted by enumerators on every village

NATIONALLIVESTOCK CENSUS2003

AFGHANISTAN

INTERIM REPORT

NATIONALLIVESTOCK CENSUS

2003

INTERIM REPORT

AFGHANISTAN

FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS

OSRO/AFG/212/ITA

Contents

Acknowledgements iiiExecutive summary ivBackground v

ACTIVITIES 1■ Organization and planning 1

■ Recruitment and training 2

■ Data collection 2

■ Data entry and checking 3

■ Data analysis 3

■ Results 4

■ Districts 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 district comparisons between the official list (AfghanistanMinistry of the Interior), 2003, AIMS 2001 and the FAO Livestock Censusfield 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 manydiverse groups including the Government of Italy throughthe Italian Cooperation Fund, the Afghanistan Ministry ofAgriculture and Animal Husbandry (MAAH), theAfghanistan Ministry of Interior (MoI), the Central StatisticalOffice (CSO) in Kabul, the Dutch Committee forAfghanistan, Oxfam (UK) and the University of Kabul.

Assistance and cooperation was gratefully received frommany staff in the MAAH including Mr Jawat, DeputyMinister of MAAH, Dr Hanif, General President of AnimalHusbandry, and Dr Raufi, General President of VeterinaryServices. Supervision of fieldwork would not have beenpossible without the enthusiastic support of many stafffrom the MAAH, the Emergency Operations andRehabilitation Division (TCE) of FAO, the University ofKabul, the Dutch Committee for Afghanistan and OxfamUK. Fieldwork was dependant upon the conscientiousattention of almost 900 staff, mainly from Veterinary FieldUnits who visited villages and collected the data.

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

Assistance from UN personnel across diverse projects inAfghanistan and Rome is acknowledged, includingparticularly Dr Thieme, Dr Majok, Dr Favre, Dr Crowley,Mr Mack and Mr Miagostovich.

The project in Afghanistan was managed and the finalreport written by Dr Len Reynolds. Dr Habib Narwos wasAssistant Manager in Afghanistan. Data analysis wasundertaken by Dr Wolfgang Pittroff of the University ofCalifornia, Davis, and Prof Fred Dham of Texas Aand M University.

This report is produced thanks to the dedication of all theabove. The authors believe that it justifies all the hard workof the participants and will provide a baseline upon whichfuture Afghan livestock development can be built.

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Executive summary

• After the end of a four-year drought and a period of insecurity in Afghanistan, the numbers oflivestock were reported to have fallen dramatically since previous estimates were made. In early2002, the Ministry of Agriculture and Animal Husbandry [MAAH] of the Transitorial Administrationof Afghanistan requested FAO to organize a national livestock census.

• The work started in Afghanistan in October 2002 with funding from the Italian Government, andfieldwork was completed by April 2003. Every village in Afghanistan was visited, with the exceptionof Barmal District in Paktika Province due to insecurity, and parts of Ghor Province due toinaccessibility over the winter period.

• A team of 28 supervisors, 24 women surveyors and 821 enumerators were employed for datacollection, 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 resultof the drought were collected at the community level from every village in Afghanistan (with theabove exceptions). Production system data (Level II) was collected by supervisors from selectedhouseholds in randomly selected villages. A women’s survey covering production systems andwomen’s attitudes to livestock was collected from women in selected households, in randomlyselected 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 milliondonkeys, 0.18 million camels, 0.14 million horses and 12.16 million poultry.

• The number of cows kept per family was low, with only Khost, Kunar, Laghman and NuristanProvince 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 ofherds will be slow to achieve.

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

• 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 Censusindicate 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 Idata will be undertaken.

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Background

Livestock plays a fundamental role in Afghan agriculture, but existing information on thenumbers of animals in the country and their distribution predates a four-year drought andnationwide 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 theneed to vaccinate their animals against diseases, but animal numbers are required for planningveterinary campaigns. Reliable statistics are also required to provide the basic information toprepare livestock development activities. However, to formulate plans we need to know thestarting point as well as our end target position. A livestock census provides the basic datarequired for livestock development activities.

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

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Activities

■ ORGANIZATION AND PLANNING

The National Livestock Census started in Afghanistan in September 2002 with the arrival of anexternal consultant and the Livestock Census Manager. The consultant was responsible for the designof census survey forms in consultation with the Census Manager. A basic form (Level I LivestockCensus) was drawn up covering ruminants and monogastric animals including poultry, to determinelivestock numbers and herd breakdown by age and sex (Appendix 1). Level I was designed to beconducted by enumerators on every village in Afghanistan, or on component communities withinlarge villages. A second census form (Level II Survey), to be administered by the Supervisors, covereddetails of production and marketing systems (Appendix II). The Level II form was more detailed anddesigned to be administered to individual households in randomly selected districts, villages andhouseholds. A further survey, the Women’s Survey, was administered by female enumerators towomen livestock keepers, selected randomly in selected districts (Appendix III).

Work plans were drawn up by early October 2002, with the aim of completing data collectionbefore livestock moved out of their winter quarters with the onset on spring weather. The start offieldwork was divided so that provinces with predominantly mountainous areas, where winterconditions would hinder the movement of the data collectors, would start earlier than lower altitudeprovinces.

Two levels of management were established. The Census Manager and the Assistant Managerbased in Kabul were responsible for the nationwide management of activities. Supervisors coveringtwo 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 collectinginformation on animal numbers.

A national database kept by the Afghanistan Information Management System (AIMS) administeredunder the United Nations Development Programme (UNDP) provided a list of provinces, districts andvillages. Afghanistan comprised 32 provinces, 329 districts and 30 172 villages. Provinces varied from4 districts (Saripul) to 22 (Nangarhar). Rural districts varied from 4 villages (Andkhoy in FaryabProvince) to 620 (Daykundi in Uruzgan Province). Based on population estimates from AIMS, andassuming 7 persons per family, village sizes varied from 6 families per village in the WormamayDistrict (Paktika Province) to 3 016 families in the Andkhoy District (Faryab Province). However, muchof the village data was derived from information compiled in the 1970s. The AIMS material wastaken 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 furthercomplication arose from the administrative situation on the ground as a result of the creation of newdistricts by provincial administrations, which had not been officially recognized by the centralgovernment.

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 Dari or Pashto. Thesurvey 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 inEnglish and simultaneously translated into Dari by an interpreter. Supervisors trained field staff in Darior Pashto.

It was estimated that each pre-2000 district would require an average of 4.5 person-months ofwork to collect the Level I census data, giving a national total of 1 500 person-months. Less timewould be required for smaller districts or districts with easier travel conditions; more time would berequired for larger or more difficult districts. The need for flexibility was also recognized, and a timeplan conceived in Kabul could only be taken as a guideline. Supervisors were allowed to vary theallowance for human resources within limits to suit conditions on the ground. Considerable

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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 secondvehicle was registered in March. The project was only able to take possession of the two vehicles atthe 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. Elevenpersons 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 Iand Level II forms, and the organization and administration of the Supervisors’ duties. During thecourse, the Level I and Level II forms were field-tested by the Supervisors in a nearby village. Lessonslearnt during field-testing were incorporated into the training. Supervisors also received guidance onorganizing 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 thesuggested person-months needed for data collection for each district and an upper limit of the totalperson-months available for the group of provinces under their control. They were given theauthority to vary the person-months used for any one district, as long as the total person-monthsremained within the limit for their group of provinces.

The country was divided into higher and lower attitude provinces. Supervisors in higher altitudelocations started the recruitment and training of field staff at the end of October 2002. Selection andtraining in lower altitude areas started in late November.

In the provinces, the Supervisors visited provincial ministries to introduce themselves and inform theauthorities of their activities. In some locations it was possible to hold broadcast interviews on localradio stations to publicize the Livestock Census. In these areas, villagers then knew of the LivestockCensus before the Data Collectors arrived.

Supervisors recruited Data Collectors at the district level from local people with knowledge of thearea and the livestock sector. These were predominantly veterinary staff, originally part of the MAAHbut recently in the private sector environment. Other suitable local persons were recruited in districtswhere no veterinary field unit existed. Training courses were organized by the Supervisors at suitablelocations 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 andduties 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 wereunable to answer the question. All names and dates were recorded in local script, that is, Dari orPashto. It was decided to record “ perceived” names of the district in which the community considersitself located.

Livestock Census information was collected at the village level. However, it was believed thatinformation on total animal numbers would be more reliable from groups of a limited number, andthat 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 assemblywhereas a large village might have several.

Data Collectors made two visits to each mosque assembly. On the first visit there were explanationsfor the Census, thus preventing any misconceptions over its potential tax-raising implications, and forthe data required. The village or community leaders were requested to organize informationcollection from village families by the date of the Data Collectors’ return. A second visit was made afew 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

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from Kabul Province for data collection. One Supervisor and 30 Data Collectors were involved in thecensus of Kabul city, taking one month for completion. Data Collectors visited local arearepresentatives, who in turn contacted street representatives to organize data collection. Kabul cityData Collectors came from the Departments of Animal Science and Veterinary Science in theUniversity of Kabul.

Field staff in the provinces came predominantly from the staff of Veterinary Field Units (VFUs). MostVFUs are independent entities, although some are still formally contracted to NGOs. FAO receivesregular information from around 230 VFUs, but in some regions of Afghanistan these linkage arelacking. 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 suitablefield staff in those areas with links to VFUs, and where FAO was not represented. Visits to the field tooversee the work and ensure data quality were made by the Census Management and theSupervisors.

Data collection was competed in all provinces by the end of March 2003, with the exception ofGhor Province. During the winter and early spring, road access to Ghor is virtually impossible, duemainly to snow and then to mud. The main access road was only formally declared open by theGovernment 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 onedistrict, Barmal in Paktika Province, adjacent to the Pakistan border.

■ DATA ENTRY AND CHECKING

Ten data entry personnel were recruited in early February 2003 for training by the consultantstatistician who visited Kabul during mid-February. Data was entered by two five-person teams intocomputers on a tailored form to simplify the transfer of information from paper to computer. Datawas entered in duplicate, once by each team. Each team worked on data from one province each ata time, with single districts being allocated to a single operator. Data entry was completed by earlyJune.

Duplicate entry by different teams simplified the task of checking the accuracy of entry, bycrosschecking the two files relating to a single district. Differences were identified and then correctedby reference to the original data form received from the field. Data checking and correction of thebasic 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 thefull Level I data for the Livestock Census project. The objective of the preliminary analysis was tocompute overall summaries and detect the highest priority needs for the livestock sector. For thispurpose, 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 andcamels);

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

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

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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 summaryvalues with numbers given for individual categories within species.

For all computed variables on a family basis, all records with missing information about number offamilies within the community for which the data were enumerated were omitted. Due to manymissing value cells for small stock numbers, it was decided on an individual record basis whether themissing entry was truly a missing value or indicated zero. The criterion used was overall number ofanimals in the corresponding species. When this decision was not possible, the record waseliminated.

For all computed variables involving animal ratios, records containing zeroes for the numeratorwere eliminated. For records with missing values for the numerator variable, it was decided on anindividual 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 baselineinformation 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 inexistence. While the legal status of the new districts is uncertain and their boundaries unclear, it wasdecided that location identification data that was recorded on the survey sheet would reflect thedistrict 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 listused by the Central Statistical Office (CSO). The AIMS list of districts derives from 1979 when theonly human population census occurred. The field data collected by the current Livestock Censusshows significant variation from the official government list and from the AIMS list (Appendix 4). TheLivestock Census was able to identify the relationship between districts on the different lists, allowingpartial comparisons to be drawn between the results of the current Livestock Census and earlier FAOwork. However, since the maps presented in this report are based on the AIMS maps, the onlyavailable 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 beencompletely 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 whichprovincial capitals are sited are counted by the MoI as administrative units rather than districts, e.g.the capital areas such as Ghazni, Qalat, and Qalay I Naw “ Districts” . The CSO uses the title “ minorcivil division” for all provincial centres and districts. There are 351 districts plus 32 provincialadministrative areas on the MoI list, but 357 plus 32 provincial centres in the minor civil divisions ofthe 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

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District in Paktika Province that were not accessed by the Census (Table 1). Some of the districts onthe MoI and CSO lists are not recognized by name by the people on the ground. These wereRashidan and Wali Mohd Shaheed in Ghazni Province, Taraw in Paktika Province and Firoz Nakhchirin Samangan Province. Full details are shown in Appendix 1.

The project collected data from 16 urban districts (Nahya) in Kabul city. These areas are notcounted as separate districts by the MoI, but are called districts by the CSO. ■

Province MoI # 2003 CSO 2003 AIMS 2001 FAO Livestock Census 2003

Badakhshan 27 27 13 30Badghis 6 6 7 9Baghlan 11 14 11 15Balkh 15 14 14 15Bamyan 6 6 5 7Farah 10 10 11 11Faryab 13 13 12 11Ghazni 18 18 16 17Ghor 9 9 7 (3) **Helmand 11 12 13 15Hirat 15 16 16 16Jawzjan 9 9 9 14Kabul 14 14 14 15Kandahar 15 15 12 17Kapisa 5 6 6 8Khost 12 11 12 13Kunar 14 14 12 15Kunduz 6 6 7 7Laghman 4 4 5 5Logar 6 6 5 7Nangahar 21 21 20 25Nimroz 5 4 5 6Nuristan 7 7 6 7Paktika 18 18 15 (17) *Paktya 9 10 12 14Parwan 13 13 12 14Samangan 6 6 5 9Saripul 5 5 6 7Takhar 16 16 12 17Uruzgan 8 8 10 9Wardak 8 8 8 10Zabul 9 9 9 12TOTAL 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.

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

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Villages, communities and families

The current census data showed that there were more villages than recorded on the AIMSdatabase. The Census recorded 36 724 villages in the districts surveyed, compared to 30 690villages 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 familiesper village. However, the true number of families is even greater than this because somecommunities were unable to state the number present. An attempt was made to determine thenumber of Kuchi families separately from resident families. The overall total of 23 949 Kuchi familiesrecorded in the Census understates the true position because normal migration patterns have beendisturbed by insecurity along the Pakistan border. ■

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Province AIMS 2001 FAO Livestock Census 2003 FAO Livestock Census 2003Villages Villages Families

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

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

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Livestock numbers

Nationally, 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 holdingover 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 HiratProvince, 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 milliondonkeys, with over 0.1 million in Badakhshan, Hirat and Takhar. Of the provinces having less than175 000 camels, only Hilmand and Kandahar had more than 20 000. Horses were reported as havingthe smallest numbers (140 000), of which only Kunduz reported more than 20 000.

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Province Cattle Sheep Goats Donkeys Camels Chickens Horses

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

TABLE 3. Summary of total livestock on a provincial basis

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These numbers are of limited value on their own. Knowledge of the changes in herd structure overtime will indicate whether herds are increasing or decreasing, and if they are capable of meeting theobjectives set by their owners. The importance of these changes to society will vary according to thecontribution of livestock to the household. Hence, animal numbers per household must also beconsidered. Another aspect is the ability of the environment to support livestock withoutdegradation. 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 ownmore than three or more cattle. Families own more sheep than goats in most provinces, but Nuristanfamilies have seven times more goats than sheep. In general, there are more goats than sheep inprovinces along the border with Pakistan. Families in the east and southeast keep the most poultry. ■

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Province Cattle Sheep Goats Donkeys Camels Horses Chickens

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

TABLE 4. Livestock per family in 2002-2003

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MAP 1. Number of cattle per family

MAP 2. Number of sheep per family

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MAP 3. Number of goats per family

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Herd structures

Understanding herd structures will allow for judgement to be made on the continuingcontribution of livestock to the household. The Level I Census with data collected at thecommunity 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 reportwill 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 simplifyingthe Level I Census this age threshold was chosen to provide an upper limit to numbers in meaningfulstock classes, in particular cattle available for dairy production and recruitment (see Table 5). Onlyfamilies in Khost, Kunar, Laghman and Nuristan owned more than 1.5 cows per family (Table 5).

15

Province Cows per Family Standard Deviation (SD)

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

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

16

■ YOUNG STOCK

A simple approach to summarizing the state of reproduction is to compute a ratio of young stock tonumber of reproductive females. If data are of acceptable accuracy (which can be only expected ifthe simplest numbers are used, e.g. two age classes), this ratio can provide some insight as towhether populations are stable, declining or have potential to increase. Of course, this will beaffected by the time of the year, regional markets, and other variables that will influence thenumbers, since not all data can be collected simultaneously. Therefore, on their own, the data isinsufficient to suggest high priority areas or to give reason for complacency. They must be evaluatedin the context of other indicators, and will be further analysed together with Level II data. The dataare 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 likelybe 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 currentreproduction rates. For a full appreciation of the reproduction rates offtake (sale and slaughter), datafor 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 yearindicates a calving interval of 15 months after allowing for 10 percent mortality. At the other end ofthe 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 andmarket surveys. It is also important to compare these data with available information about theregional extent and severity of drought.

■ SMALLSTOCK

The basic data in Level I does not differentiate between Karakul and other sheep breeds. Provinceswith higher levels of Karakul could expect lower proportions of two-year-old young stock. The datashown below suggests that lamb numbers/ewe/year of 1.5 and above are available for restockingonly 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 onlyreached in Badghis, Nangarhar and Nuristan.

17

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

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

18

■ DRAFT ANIMALS

The survey asked for available draft animals. Potentially available draft animals per family werecalculated in two ways: by calculating the statistics based on questionnaire answers and bysummarizing all categories that could potentially be used for draft. Draft animals in the questionnairewere oxen, donkeys, camels and horses, and can be used for ploughing, pulling carts and carryingloads. Several of the assumptions that underlie the number of draft animals available for ploughingwere 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 offemale older than two years old for cattle, donkeys and camels; males older than two years old fordonkeys and camels; and adult castrated cattle (Table 7).

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

19

Province Draft animals per family SD Ploughing animals per family SD

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

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

20

Changes in number of families owning livestock

Preliminary data and evidence suggested a massive and widespread reduction in livestocknumbers due to the four-year drought. Lacking dependable survey data prior to its onset, it isnot 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 yearsprior 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 thecommunities must be considered, namely the appreciation of the Afghan currency after the oustingof the Taliban regime which forced many to sell stock in order to finance loans, and the substantialmovement of refugees back into Afghanistan. The effects of these two factors are particularly evidentin Kabul city. Data from Kabul city were removed from the analysis of changes in number of familiesowning livestock because they clearly distorted the overall results. There is verbal evidence suggestingthat the returnees had left parts of their livestock holding with family members outside ofAfghanistan.

The following province-level summary (Table 8) shows that overall there was a reduction in thenumber of families owning livestock. However, this was not the case for all provinces. The highstandard deviation (SD) on the data is noticeable and must be borne in mind when interpreting thedata. The data reported here are absolute numbers. The largest changes were found in Balkh andHirat Provinces, both areas that include a major city with returnees, many of whom are withoutlivestock. ■

21

Families Families Difference Families withProvince 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 10.1Badghis 25.7 46.0 30.8 55.8 -5.1 11.0 17.2Baghlan 10.7 15.2 13.4 19.3 -2.7 4.2 8.3Balkh 28.4 27.3 38.8 40.8 -10.4 13.0 16.9Bamyan 5.4 16.6 7.4 17.9 -2.0 2.4 7.6Farah 10.7 15.6 12.5 16.3 -1.8 6.5 10.3Faryab 32.3 35.3 35.5 29.9 -3.2 12.1 13.3Ghazni 13.7 19.5 11.7 20.3 2.0 10.7 18.9Ghor 6.2 8.6 9.4 12.5 -3.2 4.0 6.5Hilmand 4.3 6.9 4.5 8.8 -0.2 3.3 7.8Hirat 23.8 51.3 42.9 135.2 -19.1 18.8 56.4Jawzjan 36.3 38.5 40.6 37.8 -4.4 9.7 11.4Kabul 16.9 21.1 14.2 19.1 2.7 9.9 14.8Kandahar 6.7 13.0 8.8 15.4 -2.2 5.4 11.8Kapisa 4.6 6.5 6.9 9.6 -2.3 6.0 8.2Khost 0.4 1.4 0.7 1.8 -0.2 0.6 1.9Kunar 1.9 5.4 2.6 6.8 -0.7 1.6 5.4Kunduz 6.9 9.9 8.5 10.4 -1.6 4.6 6.6Laghman 5.5 10.6 7.7 14.7 -2.2 5.9 11.1Logar 11.6 19.6 11.9 18.2 -0.3 10.8 16.8Nangarhar 10.3 20.1 15.6 48.2 -5.3 11.5 33.2Nimroz 14.8 17.8 18.3 23.0 -3.5 7.8 14.5Nuristan 3.9 7.5 6.2 11.4 -2.3 4.7 10.1Paktika 3.7 6.2 4.2 6.5 -0.5 3.3 5.4Paktya 2.4 5.2 3.2 7.4 -0.9 2.9 7.0Parwan 8.0 13.4 11.5 18.3 -3.4 6.1 8.5Samangan 17.1 21.5 21.9 24.3 -4.8 5.8 9.4Saripul 16.4 14.6 25.4 18.9 -9.0 5.0 7.3Takhar 17.0 20.9 14.8 19.8 2.3 10.2 14.0Uruzgan 5.4 22.9 5.0 10.5 0.3 2.8 5.2Wardak 10.9 18.8 13.1 19.6 -2.2 10.4 17.2Zabul 7.4 9.4 8.7 12.0 -1.2 4.9 8.9Overall average 11.4 23.5 14.4 41.0 -3.0 10.2 48.8

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

22

Discussion

Previous data on livestock numbers can be found in FAO surveys undertaken since 1995. Someareas covered in 1995 were omitted from the larger coverage of 1998 due to security andaccessibility 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. Noreliable data exists against which estimates can be made as to the proportion of the families orcommunities included in the surveys. Comparison between total numbers reported in the varioussurveys is not sensible, but nevertheless, the numbers per household may give a general indication ofthe pre-drought livestock situation, together with the changes that have occurred between 1995 andthe 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 transbordermovements of livestock by emigrating families, and of returnees leaving stock behind whileinvestigating the situation in Afghanistan for themselves.

The time of year of the surveys is also important because the Kuchi herds may or may not bepresent. The Kuchi population in the south and southeast of the country spend the winter in Pakistanor in districts of Afghanistan close to the border (FAO 1999). With the current security situation alongthe 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 totalowned by Kuchis was equal to the number owned by the resident population. The present LivestockCensus only captured records from 29 000 Kuchi families, far fewer than were recorded by thelimited 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, acomparison would be better made with the stock holdings of resident families in previous years. Onthis basis it is still clear that livestock holdings have declined, and that sheep have been particularlyhard hit by adverse conditions.

Limited livestock data can be found in the bi-annual winter and summer agricultural surveysundertaken by FAO. In the most recent Agricultural Survey, livestock numbers per family have beenshown to be considerably reduced from pre-drought values. The Agricultural Survey undertaken inMay 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 offarms keeping livestock have decreased. Survey data over 1998-2002 indicated that livestocknumbers had fallen faster in the later years of the drought.

Preliminary results from the Agricultural Survey in winter 2002 indicated that both livestocknumbers and proportion of farmers with livestock had started to increase compared to earlier in theyear. More information is needed on the marketing patterns for livestock in order to understand thesignificance of these observations.

The present FAO Livestock Census shows that over the country as a whole, livestock numbers perfamily are lower than those found in the earlier FAO surveys. ■

23

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 1.22Sheep 21.93 12.59 14.20 7.93 2.88Goats 9.40 5.67 5.76 4.38 2.40Donkey 1.09 0.96 0.71 0.62 0.52Camels 0.41 0.12 0.23 0.07 0.06Poultry 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 ofAfghanistan. Kabul, Afghanistan.

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

APPENDIX 1

EXPLANATION OF DISTRICT COMPARISONS BETWEENTHE 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 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 Jurm District. ! Wardooj and Shohada (FAO and MoI) were part of Baharak District. ! Nasi Darwaz, Shiki Darwaz and Koof (FAO and MoI) were part of Darwaz District – 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


AB KAMARI AB KAMARI

BALA MURGHAB [MURGHAB]DARA I BOUM [QADIS]GHORMACH GHORMACH GHORMACH

JAWAND JAWAND JAWAND

MUQUR MUQUR MUQUR

MURGHAB MURGHAB MURGHAB

QADIS QADIS QADIS

QALAY I NAW QALAY I NAW (PROVINCIAL CAPITAL)SANGE AATASH [AB KAMARI]

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

Baghlan Province


[KHOST WA FIRING] FIRING WA GHAROO

[KHOST WA FIRING] GUZARGAH I NUR

ANDARAB 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 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 Andarab District (FAO and MoI). ! Banoo Andarab (FAO) was part of Andarab District. ! Kahmard District (AIMS) is officially part of Bamyan Province. ! Guzargah i Nur and Firing wa Gharoo (MoI) were part of Khost Wa Firing District.

4

Balkh Province


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 I SHARIF 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 Balkh Province. ! Chai (FAO) was part of Dawlatabad. ! Zareh (FAO and MoI) was part of Kishindeh District.

Bamyan Province


BAMYAN BAMYAN (PROVINCIAL CAPITAL)KAMHARD [SEE BAGHLAN PROV] KAHMARD

PANJAB PANJAB PANJAB

SAIGHNAN [KAHMARD] SAIGHAN

SHEBAR SHIBAR SHIBAR

WARAS WARAS WARAS

YAKAWALANG YAKAWLANG YAKAWANG

! Kamhard District (FAO and MoI) has been officially reallocated to Bamyan Province from Baghlan Province (AIMS).

! Saighnan (FAO and MoI) District was part of Kahmard District.

5

Farah Province


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


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 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 Kot District. ! Qurghan (MoI) was part of Andkhoy.

6

Ghazni Province


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


CHAGHCHARAN (PROVINCIAL CAPITAL)[CHAGHCHARAN] DAWLAT YAR

DO LAINA

SAGHAR SAGHAR

TAYWARA TAYWARA

PASABAND PASABAND

[MURGHAB, BADGHIS PROVINCE] 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 Shahrak District. ! Only three districts were covered by the Livestock Census survey.

7

Hilmand Province


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 Nad Ali District. ! Kanschen is part of Reg District.

Hirat Province


ADRASKAN ADRASKAN ADRASKAN

CHISHTE SHARIF CHISTI SHARIF CHISHTE SHARIF

FARSI FARSI FARSI

GHORYAN GHORYAN GHORYAN

GULRAN GULRAN GULRAN

GUZARAH GUZARA GUZARA

HIRAT HEART (PROVINCIAL CAPITAL)INJIL INJIL INJIL

KARUKH KARUKH KARUKH

KOHSAN KOHSAN KOHSAN

KUSHKE KUHNA KUSHKI KUHNA KUSHKE KOHNA

OBE OBE OBE

PASHTUN ZARGHUN PASHTUN ZARGHUN PASHTUN ZARGHUN

RABAT I SANGY KUSHK KUSHK

SHINDAND SHINDAND SHINDAND

ZINDA JAN ZINDA JAN ZINDA JAN

8

Jawzjan Province


ANDKHOI [ANDKHOI, FARYAB PROVINCE]AQCHA 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 MARDYAN

MINGAJIK MINGAJIK MINGAJIK

QARAMQOL [QARAMQOL, FARYAB PROVINCE]QARQIN 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


BAGRAMI BAGRAMI BAGRAMI

CHAHAR ASYAB CHAHAR ASYAB CHAHAR ASYAB

DIH SABZ DIH SABZ DEH SABZ

FARZA [MIR BACHA KOT] FARZA

GULDARA GULDARA GUDARA

ISTALEF ISTALIF ISTALIF

KABUL CITY KABUL (PROVINCIAL CAPITAL)KALAKAN KALAKAN KALAKAN

KHAKI JABBAR KHAKI JABBAR KHAKI JABBAR

MIR BACHA KOT MIR BACHA KOT MIR BACHA KOT

MUSAYI MUSAYI MUSAYI

PAGHMAN PAGHMAN PAGHMAN

QARABAGH QARABAGH QARABAGH

SAROBI SUROBI SAROBI

SHAKADARA SHAKARDARA SHAKARDARAH

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

9

Kandahar Province


ARGHANDAB ARGHANDAB ARGHANDAB

ARGHISTAN ARGHISTAN ARGHISTAN

DAMAN DAMAN DAMAN

GHORAK GHORAK GHORAK

JARRI [ARGHANDAB, MAYWAND AND JARRI

KANDAHAR (DAND) KANDAHAR (DAND) (PROVINCIAL CAPITAL)KHAKREZ KHAKREZ KHAKREZ

MARUF MARUF MARUF

MAYWAND MAYWAND MAIWAND

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 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


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


[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 Sabari District. ! Ismail Khel (FAO) is an alternative name for Mando Zayi.

Kunar Province


[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 Bar Kunar District. ! Shigal (FAO and MoI) was part of Dangam District. ! 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 Kamdesh (Nuristan Province).

11

Laghman Province


ALINGAR ALINGAR ALINGAR

ALISHING ALISHING ALISHING

DAWLAT SHAH DAWLAT SHAH DAWLAT SHAH

MIHTERLAM MIHTARLAM (PROVINCIAL CAPITAL)QARGHAEE QARGHAYI (SURKHAKAN) QARGHAYEE

! Nuristan District is now in Nuristan Province

Logar Province


AZRA AZRA

BARAKI BARAK BARAKI BARAK BARAKI BARAK

CHARKH CHARKH CHARKH

KHARWAR [CHARKH] KHARWAR

KHUSHI KHUSHI KHOSHI

MUHAMMAD AGHA MUHAMMAD AGHA MOHAMAD AGHA

PULI ALAM PULI ALAM (PROVINCIAL CAPITAL)

! Azra District (FAO and MoI) has officially been moved from Paktya Province. ! Kharwar District (FAO and MoI) was part of Charkh District.

12

Nangarhar Province


ACHIN ACHIN ACHIN

BATIKOT BATI KOT BATIKOT

BIHSUD [JALALABAD] BIHSUD

CHAPERHAR CHAPARHAR CHAPARHAR

DAR I NUR 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

KHOGYANI KAJA [KHOGYANI] KHOGYANI WAZIR [KHOGYANI]

KOT [RODAT] KOT

KUZ KUNAR (SHEWA) KUZ KUNAR (SHEWA) KUZ KUNAR

LAL PUR LAL PUR LA PUR

MOHMAND DARAH MUHMAND DARA MOHMAND DARA

NAZIAN NAZYAN NAZIAN

PACHIR WA AGAM PANCHIR WA AGAM PACHA WA AGAM

RODAT RODAT RODAT

SHERZAD 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 – Kuz Kunar District. ! Kot (FAO and MoI) was part of Rodat District.

Nimroz Province


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 ZARANJ (PROVINCIAL CAPITAL)

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

13

Nuristan Province


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 Mandol District.

Paktika Province


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


AZRA

ADMA [ZURMAT]AHMAD KHEIL {JAJI} LIJA AHMAD KHEL

CHAMKANI CHAMKANI CHAMKANI

DAND WA PATAN DAND WA PATAN DAND WA PATAN

DOHMANDA SHAMAL [SHAMAL]GARDIZ GARDEZ (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 – Zurmat District. ! Dohmanda Shamal and Shamal (FAO) are one District – Shamal, and is now part of KHOST

Province. ! 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 Logar Province.

Parwan Province


BAGRAM BAGRAM BAGRAM

CHAHARIKAR CHAHARIKAR (PROVINCIAL CAPITAL)HISA AWA PANJSHIR PANJSHER HISA AWA PANJSHIR

HISA CHAORUM PANJSHIR HISA CHAORUM PANJSHIR

HISA DOUM PANJSHIR HISA I AWALI PANJSHER HISA DOUM PANJSHIR

HISA SOUM PANJSHIR HISA I DUWUMI PANJSHER HISA SOUM PANJSHIR

JABALUSARAJ JABALUSARAJ JABALSARAJ

KOHI SAFI KOHI SAFI KOHI SAFI

SALANG SALANG SALANG

SAYED KHIL [CHARIKAR, AND JABALUSARAJ] SAYED KHEL

SHIKH ALI SHEKH ALI SHIKH ALI

SHINWARI SHINWARI SHINWARI

SIAGIRD (GHORBAND) GHORBAND GHORBAND

SURKH I PARSU 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


[KHULM, BALKH PROVINCE] FIROZ NAKHCHIR

AYBAK (MARKAZ SAMANGAN) AYBAK (PROVINCIAL CAPITAL)DAR I SUF DARA-I- SUF

DARA I SUF SUFLA [DARA-I- SUF] DARA I SUF PAYEEN

DARA-I-SUF-I-BALA [DARA-I- SUF] DARA I SUF 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


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


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


NESH CHAR CHEENAR SHAHIDI HASSAS SHAHID I HASSAS

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 Kandahar Province.

17

Wardak Province


CHAK CHAKI WARDAK CHAK

DAY MIRDAD DAY MIRDAD DAYMERDAD

HISA AWALI BEHSUD 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


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

Province District Total

CattleTotal

SheepTotal

GoatsTotal

DonkeysTotal

CamelsTotal

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


CattleTotal

SheepTotal

GoatsTotal

DonkeysTotal

CamelsTotal

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


CattleTotal

SheepTotal

GoatsTotal

DonkeysTotal

CamelsTotal

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


CattleTotal

SheepTotal

GoatsTotal

DonkeysTotal

CamelsTotal

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 2 775

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 4 977

ADRASKAN 8 641 22 166 80 703 7 643 1 636 259

CHISHTI SHARIF 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


CattleTotal

SheepTotal

GoatsTotal

DonkeysTotal

CamelsTotal

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

KHWAJA DU KOH 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


CattleTotal

SheepTotal

GoatsTotal

DonkeysTotal

CamelsTotal

Horses

SUROBI 15 462 27 704 48 109 4 283 144 0

KABUL CITY 14 728 10 994 11 534 2 346 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


CattleTotal

SheepTotal

GoatsTotal

DonkeysTotal

CamelsTotal

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

IMAM SAHIB 47 603 71 710 22 834 18 002 7 069 12 666

8


CattleTotal

SheepTotal

GoatsTotal

DonkeysTotal

CamelsTotal

Horses

KHAN ABAD 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


CattleTotal

SheepTotal

GoatsTotal

DonkeysTotal

CamelsTotal

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 4 018 226

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


CattleTotal

SheepTotal

GoatsTotal

DonkeysTotal

CamelsTotal

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 2 505

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


CattleTotal

SheepTotal

GoatsTotal

DonkeysTotal

CamelsTotal

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


CattleTotal

SheepTotal

GoatsTotal

DonkeysTotal

CamelsTotal

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

Province District Cows per

Family

Standard Deviation

(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


Family

Standard Deviation

(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


Family

Standard Deviation

(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


Family

Standard Deviation

(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


Family

Standard Deviation

(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


Family

Standard Deviation

(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


Family

Standard Deviation

(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


Family

Standard Deviation

(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


Family

Standard Deviation

(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


Family

Standard Deviation

(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


Family

Standard Deviation

(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


Family

Standard Deviation

(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

Province District Young per

cow

Standard Deviation

(SD)

Young per ewe SD

Young per doe 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

MUNJAN1.5 0.8 1.4 1.4 1.3 0.4

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


cow

Standard Deviation

(SD)

Young per ewe SD

Young per doe 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

ANDARAB1.4 0.3 0.6 0.3 0.9 1.3

BAGHLAN

QADEEM1.4 0.7 0.6 0.4 0.7 0.3

DEH SALAH

ANDARAB1.4 1.2 0.5 0.8 0.6 0.9

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

ANDARAB0.7 0.7 0.1 0.1 0.2 0.3

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


cow

Standard Deviation

(SD)

Young per ewe SD

Young per doe 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

KAH1.2 0.6 1.8 2.9 1.1 1.9

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

PUSHT KOH0.6 0.7 0.6 0.6 1.0 1.7

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

WAN)0.5 0.4 0.3 0.2 0.2 0.2

4


cow

Standard Deviation

(SD)

Young per ewe SD

Young per doe SD

KHWAJA SABZ

POSH0.5 0.4 0.3 0.2

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

SARJANGAL1.1 0.8 1.6 0.8

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


cow

Standard Deviation

(SD)

Young per ewe SD

Young per doe 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

ZARGHUN1.7 2.2 1.4 0.5 1.3 3.3

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

BAGH0.3 0.3 0.1 0.1

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


cow

Standard Deviation

(SD)

Young per ewe SD

Young per doe 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


cow

Standard Deviation

(SD)

Young per ewe SD

Young per doe 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

KOHISTAN1.6 0.5 1.5 0.7 0.5 0.5

KOHBAND 1.4 0.5 1.3 0.4

MARKAZ

MAHMUDRAQI1.1 0.3 1.2 0.9 0.9 2.0

HISA AWAL

KOHISTAN0.9 0.3 2.7 8.7

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

ASADABAD2.1 0.9 1.8 1.0 1.6 1.1

8


cow

Standard Deviation

(SD)

Young per ewe SD

Young per doe 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

MIHTERLAM1.1 0.4 1.0 0.6 1.3 1.3

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

AGHA1.2 0.6 1.8 1.8 0.9 1.0

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


cow

Standard Deviation

(SD)

Young per ewe SD

Young per doe SD

NANGARHAR 1.2 1.0 8.1 7.0 2.6 1.6

MARKAZ JALAL

ABAD2.9 3.6 7.2 9.9 2.3 1.5

GHANI KHEL

SHINWARI2.0 1.0 5.4 9.9 2.3 1.9

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


cow

Standard Deviation

(SD)

Young per ewe SD

Young per doe 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

SHARANA1.0 0.5 1.2 1.9 0.8 0.4

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

SHAMAL1.0 0.4 1.0 0.4 0.9 0.3

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


cow

Standard Deviation

(SD)

Young per ewe SD

Young per doe 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

PANJSHIR1.7 0.4 1.4 0.9 1.2 1.1

JABALUSARAJ 1.5 1.1 1.3 0.8 1.2 0.8

HISA SOUM

PANJSHIR1.5 0.8 1.3 1.9 1.1 0.5

SHINWARI

GHORBAND1.4 0.8 1.3 0.6 1.0 0.5

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

PANJSHIR1.4 1.1 1.0 0.4 0.0 0.0

SURKHI PARSA 1.3 0.7 0.9 0.6

HISA AWALI

PANJSHIR1.3 0.4 0.9 0.5 0.5 0.9

SIAGIRD

GHORBAND1.0 0.5 2.4 1.2

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


cow

Standard Deviation

(SD)

Young per ewe SD

Young per doe 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

BAHWADDIN1.3 0.3 1.0 1.6 0.8 0.6

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


cow

Standard Deviation

(SD)

Young per ewe SD

Young per doe 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

KOTI ASHRO1.1 0.5 0.9 1.0

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

OVERALLAVERAGE

1.1 0.9

Documents

Afghanistan: National Livestock Census 2003...livestock numbers and herd breakdown by age and sex (Appendix 1). Level I was designed to be conducted by enumerators on every village