ZMB-ZSA-IAS-2024-V1.0 DDI-ZMB-ZSA-IAS-2024-V1.0

Catherine Mumba

Zambia Statistics Agency 2026-01-12 Nesstar Publisher Version 1.0 (January 2026) 2024 Integrated Agricultural Survey (IAS) First Edition 2024 IAS ZMB-ZSA-IAS-2024-V1.0 Zambia Statistics Agency

Field Personel

Farming Community

Food and Agriculture Organisation (FAO)

International Fund for Agricultural Development (IFAD)

Ministry of Agriculture Ministry of Fisheries and Livestock Ministry og Green Economy and Environment (c) 2025, Zambia Statistics Agency Nesstar Publisher Government of the Republic of Zambia World Bank Group Head of Dissemination Agricultural Survey [ag/oth] V1.0: Edited, Anonymised dataset for Public Use. Crops Livestock Poultry Forestry Agricultural Activity Agricultural Season Small-Scale Household Large-Scale Establishment Apiculture Parcel Field Production Inputs Holding Identification Household Demographic Characteristics Record Keeping Parcel Roster Field Roster Crop Roster Temporary Crop production (Non Vegetable) Permanent Crop Production (Plantations) Vegetable Crop Production Temporary Stocks and sales Pemanent Stocks and Sales Input Use Livestock in Stock Change in Stock Change in Stock - Poultry Egg Production Zambia National, Province, Rural, Urban The survey covered all agriculture households and all large scale agriculture establishments Sample survey data [ssd] Zambia Statistics Agency Face-to-face [f2f] Zambia Statistics Agency Zambia Statistics Agency (2024). 2024 Integrated Agricultural Survey, Lusaka, Zambia 2024IAS-LS Livestock HHs with Weights_Anonymized.NSDstat 1211 64 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 AGRIC_LAND_Anonymized.NSDstat 25202 41 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 AISHH2024_FINAL_Anonymized.NSDstat This file contains data derived from section 14 - Milk Production. This section covered production, consumption, and sales (quantities and values) of the milk collected by the household. Point to note: Data was captured for cow's milk only, if the household reported raising cattle in Section14, LIS01, of the questionnaire for small and medium scale households. 19948 34 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 Calving RateAnonymized.NSDstat 11 4 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 CROP_ROSTER_FINAL_Anonymized.NSDstat 35831 265 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 Cattle_population_Anonymized.NSDstat 11 11 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 Demog_Anonymized.NSDstat 20125 30 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 FORESTRYP_Anonymized.NSDstat 27730 28 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 LABOR_type_Anonymized.NSDstat 27019 27 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 Milk HHsand Establishments_Anonymized.NSDstat 31 4 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 Milk_cleaned_Anonymized.NSDstat This file contains data derived from section 14 - Milk Production. This section covered production, consumption, and sales (quantities and values) of the milk collected by the household. Point to note: Data was captured for cow's milk only, if the household reported raising cattle in Section14, LIS01, of the questionnaire. 21159 34 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 Number of livestock from HHsandEstablishments_Anonymized.NSDstat 471 6 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 PESTUSE_AGGRGATED_Anonymized.NSDstat 1823 12 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 RecordKeeping_Anonymized.NSDstat 19948 27 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 ROSTER_LIVESTOCK_Anonymized.NSDstat 22636 30 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 ROSTER_LIVESTOCK_Lost DiseaseTheft_Anonymized.NSDstat 44061 39 Nesstar 200801 Zambia Statistics Agency (ZamStats) V1.0 1211 0 1 173 87 49.961 Interview key (identifier in XX-XX-XX-XX format) 1211 0 00-02-56-01 7 00-83-75-65 7 01-02-73-35 7 01-32-21-59 7 01-41-87-18 7 01-87-87-26 7 01-93-96-54 7 02-19-87-75 7 02-54-66-74 7 02-76-06-39 7 03-22-60-94 7 03-53-75-68 7 04-37-09-67 7 04-78-54-23 7 04-81-38-88 7 05-06-55-61 7 05-67-66-92 7 05-89-68-04 7 06-32-01-86 7 06-70-61-97 7 06-81-41-95 7 08-30-36-51 7 08-56-46-20 7 09-02-22-42 7 09-13-92-73 7 09-78-12-86 7 09-85-37-32 7 10-81-43-53 7 11-78-76-01 7 12-61-27-95 7 12-74-84-58 7 13-34-84-54 7 14-25-78-70 7 14-64-71-22 7 15-83-03-38 7 16-90-26-11 7 16-95-23-23 7 17-84-08-93 7 17-95-26-68 7 17-99-64-81 7 18-14-45-17 7 19-28-99-22 7 19-81-42-40 7 20-18-96-91 7 20-38-85-49 7 21-38-56-44 7 21-59-49-64 7 22-77-05-31 7 23-29-10-50 7 23-34-44-41 7 23-39-78-26 7 23-68-41-36 7 23-80-43-83 7 24-06-12-03 7 24-59-39-91 7 24-78-02-09 7 25-03-24-18 7 25-69-57-44 7 26-69-67-59 7 27-57-48-45 7 29-60-79-35 7 30-23-27-81 7 31-36-20-75 7 32-60-68-73 7 32-75-31-19 7 34-30-34-25 7 35-25-70-38 7 36-26-32-39 7 36-99-54-20 7 37-68-35-97 7 38-74-54-40 7 38-82-52-30 7 39-05-26-49 7 39-20-21-52 7 39-23-82-07 7 39-27-76-93 7 40-89-28-15 7 41-24-25-60 7 42-79-39-45 7 43-59-91-61 7 44-87-93-36 7 44-89-17-24 7 45-08-04-38 7 45-11-63-04 7 47-57-51-62 7 47-74-64-80 7 48-81-38-95 7 50-16-48-00 7 50-23-79-00 7 50-59-03-87 7 50-91-90-42 7 51-54-04-31 7 51-72-56-59 7 52-86-55-10 7 53-49-13-07 7 53-50-15-64 7 53-68-04-66 7 54-37-99-79 7 54-58-34-38 7 54-69-80-92 7 57-23-56-05 7 58-01-78-03 7 58-11-34-43 7 58-28-94-55 7 58-43-01-13 7 58-59-27-82 7 58-96-26-63 7 59-40-08-50 7 59-72-56-55 7 59-84-23-54 7 59-87-07-76 7 60-52-21-18 7 60-95-77-59 7 61-05-87-95 7 61-33-40-64 7 62-49-64-17 7 62-93-59-30 7 64-22-94-62 7 64-39-55-55 7 65-91-02-91 7 66-84-27-34 7 67-37-07-53 7 67-89-23-34 7 69-25-80-28 7 69-77-22-97 7 72-64-39-44 7 73-51-23-91 7 74-50-32-48 7 76-96-02-75 7 77-62-52-61 7 77-77-42-54 7 77-97-92-16 7 78-56-30-71 7 78-60-16-13 7 79-05-02-61 7 79-31-65-69 7 80-25-44-20 7 80-74-89-41 7 80-90-04-12 7 81-48-43-65 7 81-50-23-90 7 81-68-76-59 7 81-78-26-92 7 82-12-84-57 7 82-71-41-58 7 82-98-79-10 7 83-01-12-11 7 83-54-60-21 7 83-98-45-11 7 85-47-81-96 7 86-36-36-18 7 86-83-23-64 7 86-94-36-69 7 87-38-94-15 7 87-52-14-74 7 87-73-40-42 7 88-45-51-65 7 88-85-19-67 7 90-22-31-53 7 90-65-69-61 7 91-87-50-54 7 91-90-14-76 7 92-23-34-04 7 93-66-81-04 7 95-21-89-18 7 95-62-40-28 7 96-43-13-24 7 98-26-18-39 7 98-30-13-41 7 98-88-44-64 7 99-26-67-91 7 99-84-33-49 7 99-85-87-74 7 Unique 32-character long identifier of the interview 1211 0 0006ff11fefc4d0b92c2e02c748b8cbb 7 00ad5fadaa9842f790de1c89d09a551a 7 00dad9ead2c14c88838a0b0627678364 7 014b40666fae4217b8a4d1fc81a35702 7 024ab9ef0d974b28b1a5e0acc8c339c8 7 02f285c6d9fd4944804f9e178da2ce87 7 043a12b6146246f7b4fde237644e9e95 7 0460e938f52541e08b8b745537477de8 7 0512578c3ae8451595afd22758ed7c53 7 06992a8362bf425ea5ec5f73de904bd6 7 06d14ff3a0404c74883925b30c67589d 7 075caf6f205e48f38b372142aa04c86a 7 07bac62e910347fc9febbdfae9945204 7 097ca56bbda7472da53efc82f421f050 7 0b70f430e689419f808631682b3570e2 7 0e47d6d8e2004eb6bb79c65a17cdcc93 7 0f737c8182e84ff19c5809a429558c3b 7 14f58d370cab46ba95631aec845202c8 7 194016e5ae8d4fc5b21ae04517f3deaf 7 19bec3c12d48477bafb25fc06d0d43a5 7 1adf767f59d74b90a8bc47a307853b5a 7 1ae2f0d2f824440ab139718a2f1cb181 7 1d77a3ab8b4a49b78170350dd28e2567 7 1e03d674fa904827a7e89d88ad3fa540 7 1f7f64b34e894eedb780f6f085ba4ece 7 206c26ad27614208bb01f4f7f06c782a 7 207ee198b3d940bcaf11efbfca3c6388 7 220f0afc52be414188edcdd380c31b4f 7 2221c0171fd04460abddb136eff7d466 7 22c2698bb93649679a5e6655750f9ea5 7 266d68ebfa8b42e3b6afb713cd3ad8ff 7 2862259dcc00493b9e5b7246dba4af91 7 291f10dcfb0f4af6a01c1db4394b2f12 7 2bde226f24014fdfa9e1e319c7355f5f 7 2c91dd7a146e4c21b9bcb3ef86f9425d 7 2eba13dd85474faea828c64b0d2df32d 7 33339a127e0e4c3e8edce31eed5d0b61 7 33b38a93be6e4a2d8917bff6a2682772 7 35d61b81c120423c8ebcae1ac6099bf9 7 38b6e0ec3772493098508a017b1e6df7 7 390671b922dc45d2858f49ee7401f79c 7 3a6590e341a542cdbf164f1ea34c8695 7 3d2b5e1e9ea4445cb3d7d83e51247c46 7 3f8431751e6945848bf18cb59aaca789 7 40ee27773ec74233865f53889a4f24ce 7 44bf930b04864740b9f93c337a3e0f31 7 44fdb59b261a4db4bc9d2d6d8e2903c5 7 45328e9a9dd74ce3b56eb55d0296aa5d 7 4653e52913624802b263faa455c68b5d 7 468b8db0187f4a249afaca07f92f1ba2 7 468efedc63a14d3e881aa4574702d7e2 7 479308b24de545ed95b27befd6cd5ec9 7 47965bedea1b4b3ba49084c12ce9415a 7 49ec91271548408bb17267ca5fc5394b 7 537371df1cff4a53b9ce3ee25b71d3f1 7 5668954aa28f4a419c8a6a68347b6331 7 585b98ce2e894ae388730c8e2c6ae73b 7 5927aa81af22442193337068919d21b4 7 5e6e575f603741c487c7a5662984a849 7 5ea88300b7564cc19b5a5b185ad115ea 7 5f649c7805144c30b7fd809c1daaa09a 7 5fd8ae4a3ec740c6a2d8c71aee2d0b10 7 6113acca23ed4d0c81c1df930d03f3da 7 6244a1db877541a6a6351a153c62bf44 7 6479065826224112ac2cc2c218a93a6f 7 6b107fb713c04545aad7837232fcd893 7 6d98580a6e3449cc89b5fc31c4ec3de1 7 6f0bad51f84e4244aee03444874eb982 7 700d1cb29a204398a9e2bfa762fe2f5b 7 703d95af50b84b43adbac3189a75d33a 7 707e5680605b4c6e821bcca649dec0d0 7 7166dc946dca4dd6943b17cc81d086b1 7 72b660b1ad6a4a0285e58f677b21d57c 7 733cf9c20fa049f9a26224e138571252 7 748f0b4f404146038e50f554f532e0b1 7 76aa49d0196349c5b79a1aab232b6870 7 77675e6e398847ecadd3c70d16e7f7d4 7 785d6843154048f5bcef097bd8093198 7 787ff703b2d9417fae4502a5f2ef1261 7 78ee619789b348509c98617fceab5ef8 7 7a1ed4f89b8f45eaa09946c2beaadac1 7 7dada2844fe240e08162a89fd48ef9bd 7 7f3cd7b71c46453fa82c16aab5cff65e 7 7f68cc3d84f14c5091b82d2576ebdf77 7 80d85d91fa54498285d4c9be465fb4d5 7 83b345fa4b1a4f15bc29a5743bcb9cae 7 85032da732114008b08251b8d58fde24 7 85c43a852fa84bcfb309987f2f5e0027 7 8a2a371470c24cee868bcf797d67ed5d 7 8adfd1e1b658460d85d5341fb221d337 7 8d5678685a1b470ead2ee859d24bfb89 7 937392d724ee46da8ed20aedf0b99373 7 93828dcdef78406facd75cc9f998fc52 7 9624892995d04e598ba9925c1c5e450c 7 9736cb542cb74058b063ecba80e78278 7 9753b3ce29914c5795c182fb3bbed63e 7 97c62ff229424b3b90e0cb25883c44f7 7 97ea508d2db14caa97eb3d773352511e 7 99abbf02286c43ad89d78ac5fd21d95a 7 9a20a79a369945cb8c13a787faf3fe7c 7 9ee1cc1a585f4f1d89ce496192fa7a04 7 9f87eeb7759d4fc6b41ddc5435f2251c 7 9feac93f97c04449b79c9c7764af3be7 7 a19e01e810ef4bec982272cb10636c77 7 a27ea93dbb5649c58ad0b5e9bba404a8 7 a4526cbeed4a47b3ad8593e7a4812bc9 7 a65be65cca4b453e843c93d5a40a9bcc 7 a704fba8c52d4bb4a4ca64b6478376cb 7 a93f096421614579bd5869c9555fca55 7 a970514423f34611ad41ac83076d65ee 7 ab535c3661c548fe878764eb3a8cfb70 7 abd4ed913987457b86bee3ac497304e5 7 ad5f486e0aeb46868088ee8adac2ccfe 7 b187009a16c84484a63cb310b4e170d9 7 b1a62a46f0a2454abe18ae114286fcf5 7 b1e84cffb11b41489b6c084f15c16377 7 b200d4c8dd31469e9048a0e3db164513 7 b32a955db9a7452686149e092c9d0730 7 b43177cd602440e6a786dadff728bb63 7 b45c2d9e532942b3938ff6b31ef5f382 7 b5d8510218604c24bf48dad01e40e7cb 7 b7bea13983c244769f7d078a99c5ebe5 7 b7e1ed7ff3db45539f741f69f95d0524 7 b8dad502e2d2425aa2bb8f7d9ba2c9c0 7 bb86a15a1bf140818307e83ce505fe02 7 bc0a2b54705a480f9462d870d2268368 7 bd28e936ab5d4576b9a269c83b7f72e9 7 bea3ea7479424cb580182904fdcb4b7e 7 c00c9fbdfab8427385a47e16d885c906 7 c1e707ed2b1b4570aca27398acb9723d 7 c7074f2ff81248db82898b9f49decab0 7 c778d4260e9940bda0b8fd4045407595 7 c8ada37a710649f7b8d843ccbb3a35b5 7 cd0357ef75b743a9b958cf3cee28e44e 7 ce0fed52552a4df3999a423ce342e53d 7 d1f4ed51e1294ac788d2f6de917c80c2 7 d1fd2ed8a3104d23907866701ae36a28 7 d2e10c877f9f422e9674162d00dbf41d 7 d5a6ae4763ed4f69927f23c9ed829b5b 7 d72b88c258f446a38662552047f2910c 7 da9cc20eec824d2b934ebbab0dd6aba2 7 dc1251024bcc4236bbfca7fe48588a94 7 dd1debea4b474a87b19c01b7258170af 7 ddb8edddb8d0493888e6b9f21f817210 7 df22acafcb414327bf5f4cd51f52e4d3 7 e00e0f7ddc02442883fbc3e793df2be9 7 e1fc007280884ed999408c1f76ce30cd 7 e4dca85150ea48ac9639f51967902c89 7 e4e36810c69642ca86e23a8049578409 7 e56d9cc985e9422f881874c4b2e10598 7 e5f713ef4b0941458157bb890cec26ce 7 e63df5f9e4694db1a6f541c17080bba6 7 e70b6867915649a3ad3bdb6f88d91a0a 7 eac09234841b404891b8262918bcf5bc 7 ecd9427c5d5e40f8ab200e8507108258 7 edb4cbc1457e4267973a162a94656b92 7 eeee44d9a06d4efe966bbc04c4db8cac 7 f0b8fbdbe1b948fea4814d62c21f1e31 7 f27d604ec73c4ae6a21571fdbb800b1c 7 f353a5d0c311416b858e31f416fc7502 7 f397eaec896845c0bb0f58ea61c5182d 7 f56ea33f38334b3c84e9b7f9b0de6817 7 f57f508f31aa46179b50b1d0879f15a9 7 f594a5eae8ba4b2886a6ba44c1666089 7 f7561f216c6b4698bc860cae6b7be62b 7 f89e605a126e4e19bddf657dccedf1a0 7 fbd8dea453cd4f7abda100d8cf5c5112 7 fc83baf8516b4da2a160c9a712ab6f09 7 fc9350e3ac894fc4bbe10ca7e20c146e 7 fcdf6b89fd8b4e27b618e271f04bedf2 7 fd84bc49cdfb481ca321198ce3db1007 7 fda286ef3722487eba07d0c8d7ed58ff 7 fe43fdf6602445d591373ef036589208 7 Province Name 1211 0 1 CENTRAL 441 2 COPPERBELT 49 3 EASTERN 49 4 LUAPULA 0 5 LUSAKA 70 6 MUCHINGA 14 7 NORTHERN 0 8 NORTH WESTERN 14 9 SOUTHERN 434 10 WESTERN 140 -999999999 missing 0 District Name 1211 0 CHASEFU 7 CHIBOMBO 154 CHIKANKATA 7 CHILANGA 21 CHINGOLA 7 CHIPANGALI 7 CHIRUNDU 7 CHISAMBA 56 CHOMA 14 CHONGWE 14 GWEMBE 7 ITEZHI TEZHI 42 KAFUE 14 KALABO 63 KALOMO 28 KANCHIBIYA 7 KAPIRI MPOSH 49 KATETE 7 KAZUNGULA 63 KITWE 7 LAVUSHIMANDA 7 LIMULINGA 7 LIVINGSTONE 28 LUANO 28 LUANSHYA 7 LUFWANYAMA 7 LUKULU 14 LUMEZI 7 LUSAKA 21 LUSANGAZI 7 MASAITI 7 MAZABUKA 28 MITETE 7 MKUSHI 7 MONZE 105 MULOBEZI 7 MUMBWA 105 NALOLO 14 NAMWALA 84 NDOLA 14 NGABWE 21 PETAUKE 7 SERENJE 7 SHANG'OMBO 21 SHIBUYUNJI 14 SIKONGO 7 SOLWEZI 14 VUBWI 7 ZIMBA 21 1211 0 4.771 106.237 20.26 15.605 Id in ROSTER_LIVESTOCK 1211 0 1 Cattle 173 2 Goats 173 3 Sheep 173 4 Pigs 173 5 Donkeys 0 6 Rabbits 0 7 Village Chickens 173 8 Broilers Chickens 173 9 Layers Chickens 173 10 Exotic Chickens 0 11 Ducks 0 12 Turkeys 0 13 Guinea fowls 0 14 Pigeons 0 15 Quails 0 88 Other specify 0 -999999999 missing 0 Did you or any member of household raise any [Livestock name] in the last 12 months, irrespective of who owns [Livestock name] that you are raising? 1211 0 1 YES 1211 2 NO 0 -999999999 missing 0 How many [Livestock name] are you raising now? 1211 0 0 21000 94.145 826.018 -999999999 missing 1211 0 1 1211 Number of cows 1211 0 0 7500.602 33.626 295.03 Number of heifers 173 1038 0 296.52 21.283 34.459 Number of bulls 173 1038 0 128.969 14.578 18.416 Number of cattle weaners 173 1038 0 87.247 7.346 11.039 Number of oxens 173 1038 0 383.29 34.083 48.034 Number of steers 173 1038 0 82.477 5.284 9.36 Number of calves 173 1038 0 226.08 16.883 26.591 Number of male goats 173 1038 0 144.72 11.957 20.361 Number of female goats 173 1038 0 291.369 24.073 40.994 Number of goat weaners 173 1038 0 75.356 6.226 10.602 Number of kids 173 1038 0 88.555 7.316 12.459 Number of rams 173 1038 0 39.843 2.606 6.621 Number of ewes 173 1038 0 74.41 4.866 12.364 Number of sheep weaners 173 1038 0 12.804 0.837 2.128 Number of lambs 173 1038 0 22.943 1.5 3.812 Number of boars 173 1038 0 237.183 3.049 20.194 Number of sows 173 1038 0 318.707 4.097 27.135 Number of gilts 173 1038 0 72.472 0.932 6.17 Number of pig weaners 173 1038 0 168.906 2.171 14.381 Number of piglets 173 1038 0 202.731 2.606 17.261 173 1038 1 2 1.936 0.245 -999999999 missing 173 1038 1 2 1.931 0.243 -999999999 missing How many [LIVESTOCK NAME] were lost due to theft in the past 12 months 173 1038 1 8 1.416 1.639 -999999999 missing How many [LIVESTOCK NAME] were lost due to (Natural events eg accidents, Drought, missing etc.) in the last 12 months? 0 1211 -999999999 missing How many [LIVESTOCK NAME] were given away for free in the last 12 months? 0 1211 -999999999 missing How many [LIVESTOCK NAME] did this household slaughter on the farm in the last 12 months? 0 1211 -999999999 missing 0 1211 -999999999 missing 0 1211 -999999999 missing MP01. Did the household produce any cow milk in the past 12 months? 173 1038 1 YES 173 2 NO 0 Sysmiss 1038 MP01a. How many milking cows did you have in the past 12 months ? 173 1038 4 29 10.038 6.414 Number of months with milk production in the past 12 months 173 1038 4 7 5.052 0.393 4 7 5 152 6 12 7 2 Sysmiss 1038 In how many months was the milk production typically high? 173 1038 2 3 2.012 0.107 2 171 3 2 Sysmiss 1038 For how many months was the milk production typically moderate? 173 1038 1 2 1.96 0.198 1 7 2 166 Sysmiss 1038 MP05. In how many months was the milk production typically low? 173 1038 1 2 1.081 0.274 1 159 2 14 Sysmiss 1038 In a typical HIGH PRODUCTION month, how many liters of milk did the household produce per day? 173 1038 12.5 50 28.064 14.354 In a typical HIGH PRODUCTION month, how many liters of milk did the household consume per day? 0 1211 Sysmiss 1211 In a typical HIGH PRODUCTION month, how many liters of milk did the household sell per day? 0 1211 Sysmiss 1211 What was the average unit price per liter of raw milk sold in a typical HIGH PRODUCTION month? 0 1211 Sysmiss 1211 In a typical moderate month, how much milk did the HH produce per day? 173 1038 8 35 17.434 8.452 In a typical moderate month, how much milk did the HH consume per day? 0 1211 Sysmiss 1211 In a typical moderate month, how much raw milk did the HH sell per day? 0 1211 Sysmiss 1211 What was the average unit price of the raw milk sold in a typical moderate month 0 1211 Sysmiss 1211 In a typical low month, how much milk did the HH produce per day? 173 1038 4.5 15 8.607 3.444 4.5 62 10 91 15 20 Sysmiss 1038 In a typical low month, how much milk did the HH consume per day? 0 1211 Sysmiss 1211 In a typical low month, how much raw milk did the HH sell per day? 0 1211 Sysmiss 1211 What was the average unit price of the raw milk sold in a typical low month? 0 1211 Sysmiss 1211 0 1211 1 Head 0 2 Spouse 0 3 Male child 0 4 Female child 0 5 Other Male 0 6 Other Female 0 7 Both head and spouse 0 8 Non household male 0 9 Non household female 0 Sysmiss 1211 Who primarily decides how revenue from the sales was or will be used? 0 1211 1 Head 0 2 Spouse 0 3 Male child 0 4 Female child 0 5 Other male 0 6 Other female 0 7 Both head and spouse 0 Sysmiss 1211 Where did the household mainly sell the milk? 0 1211 1 At the homestead 0 2 Milk collection centre 0 3 within the community but not at a milk collection centre 0 4 outside the community but not at a milk collection centre 0 Sysmiss 1211 Who determines the price of sale? 0 1211 1 Buyer 0 2 Household 0 88 Other 0 Sysmiss 1211 MP21_Other. Other to specify 0 0 Annual milk production total in liters 173 1038 1365 5550 2994.971 1434.289 Average annual milk production per cow in liters 173 1038 94.138 1387.5 493.952 413.783 1211 0 1 Small and medium scale farm 0 2 Large-scale farm 1211 3 Establishment 0 Interview key (identifier in XX-XX-XX-XX format) 25202 0 Id in AGRIC_LAND 25202 0 1 19708 2 4533 3 769 4 157 5 26 6 7 7 2 -999999999 missing 0 Roster list question 25202 0 19708 4533 769 157 26 7 2 Main crop in the field 25202 0 ACACIA TREES 1 1 BACKYARD GARDEN 25 BAMBARA NUTS 10 BANANA 6 BEANS 126 CABBAGE 10 CARROT 1 CASSAVA 1000 CHILLI 1 COTTON 29 COW PEAS 18 COW PEAS (FOR GRAIN) 1 EGGPLANT 3 FALLOW 2195 1 FINGER MILLET 7 FRICE 1 GARDEN 74 GINGER 2 GRAZING LAND 1 GREEN BEANS 2 GROUNDNUTS 442 IRISH POTATOE 3 MAIZE 18592 MAIZE(FOR GRAIN) 848 MAIZE(FOR SEED) 24 MAIZE(FOR SILAGE) 1 MAIZE(GREEN MAIZE) 7 MBAMBARA NUTS 1 MEADOWS AND PASTURES 1 MEARL MILLET 1 MILLET 187 MIXED BEANS 47 MIXED BEANS (FOR GRAIN) 6 NOT CULTIVATED 9 OKRA 1 ONION 9 ORANGE 1 ORCHARD 1 OTHER VEGETABLES 18 PASTURES 4 2 PEARL MILLET 27 PINE TREES 1 PINEAPPLE 1 POPCORN 13 POTATOE 1 RAPE 22 RESIDENTIAL 10 RICE 323 RICE 🍚 3 SAYO BEANS 2 SOGAM 1 SOGHUM 1 SOGHURM 1 SOGURM 1 SONABEANS 1 SORGHUM 88 SORGHUM(FOR GRAIN) 14 SOYA BEANS 431 SOYA BEANS (FOR GRAIN) 15 SUGAR CANE 8 SUNFLOWER 322 SUNFLOWER (FOR GRAIN) 23 SWEET POTATOE 96 TABACCO 1 TEMPORAL MEADOW 1 TEMPORARY PASTURES 2 TOBACCO 36 TOMATOE 29 WATERMELON 8 Second crop in the field 10182 0 (CASSAVA) 1 (SUNFLOWER) 1 1 1 BACKYARD GARDEN 7 BAMBARA NUTS 12 BANANAS 5 BARANUTS 1 BARLEY TOBACCO 2 BEAMS 1 BEAN 2 BEAN'S 1 BEANS 446 BURLEY TOBACCO 1 BURLEY TOBBACO 2 CABBAGE 9 CASS 4 CASSAVA 1300 CASSAVA / MILLET 1 CASSAVA /MILLET 1 CASSAVA 3 2 CASSAVA AND MAIZE 1 CASSAVA AND MILLET 1 CASSAVA CASSAVA 1 CASSAVA JAN 1 CASSAVA/ MAIZE 1 CASSAVA/ MILLET 1 CASSAVA/FINGER MILLET 1 CASSAVA/GROUND NUTS 1 CASSAVA/GROUNDNUTS 5 CASSAVA/MAIZE 1 CASSAVA/MAIZE/GROUNDNUTS 1 CASSAVA/MILLET 4 CASSAVA8 1 CASSAVAS 1 CASSAVER 1 CASSVA 5 CHILI 1 CHILLIES 2 CHINESE CABBAGE 1 COOTON 1 COPEAS 1 CORN 1 COTTN 1 COTTON 84 COW PEALS 1 COW PEAS 17 COW PEAS (FOR GRAIN) 8 COW PEES 1 COWPEA 7 COWPEAS 32 COWPEAS / MBAMBARA NUTS 1 COWPS 1 CSAVA 1 CUCUMBER 2 EGG PLANT 1 EGGPLANT 1 F FALLOW 1 F=CASSAVA 1 FAILED BEANS 1 FALLAW 2 FALLO 1 FALLON 2 FALLOW 809 2 FALLOW LAND 21 FALOW 2 FARROW 2 FCASSAVA 1 6 5 1 1 1 1 FELD TOBACCO 1 FELLOW 9 FFALLOW 1 FIGGER MILLET 1 FIGURE MILLET 1 FINGEMILLET 1 FINGER 1 3 FINGER MILLET 19 FINGER MILLET/ GROUNDNUTS 1 FINGERMILET 1 FINGERMILLET 1 FOLLOW 4 FOLLOW LAND 1 FOREST AND WOODED AREA 1 FOREST AND WOODED LAN 1 1 1 FVIRGIN 1 G NUT 2 G/NUTS 6 GADERN 1 GARDEN 86 GARDERN 4 GINGER 3 GNUTS 23 GREEN BEANS 1 GREEN MAIZE 1 GRONDNUTS 14 GROUND 4 GROUND NATS 1 GROUND NUT S 1 GROUND NUTS 1639 GROUND NUTS/SUN FLOWER 1 GROUNDNATS 1 GROUNDNIT 1 GROUNDNUNTS 1 GROUNDNUT 59 GROUNDNUTS 1 GROUNDNUTS / CASSAVA 1 GROUNDNUTS AND COWPEAS 1 GROUNDNUTS(UNSHELLED) 92 GROUNDNUTS(UNSHELLED, FOR SEE 11 GROUNDNUTS/ CASSAVA 4 GROUNDNUTS/CASSAVA 5 GROUNDNUTS/MAIZE 1 GROUNDNUTSU 1 GROUNDNUUTS 1 GROUNDSNUTS 1 GROUNDUNTS 1 GROUNDUT 2 GROUNNUT 11 GROUNNUTS 2 GROUNUTS 4 GUMTREES 1 IMPWA 3 1 IRISH POTATOES 3 IRISH POTATOES (FOR TUBER) 1 M BEANS 3 M GROUNDNUTS 1 M/BEANS 7 MAINZE 1 MAIZE 490 1 1 MAIZE EDINAH 1 MAIZE GROUNDNUTS 1 MAIZE HUSBAND 1 MAIZE MRS 1 MAIZE POPCORN 1 MAIZE(FOR SEED) 6 MAIZE(GREEN MAIZE) 4 MAIZE/ BEANS 1 MAIZE/ CASSAVA 1 MAIZE/ COWPEAS 1 MAIZE/ GROUNDNUTS 1 MAIZE/ MILLET 1 MAIZE//GROUNDNUTS/CASSAVA 1 MAIZE/BEANS 2 MAIZE/CASSAVA 5 MAIZE/GROUNDNUTS 1 MAIZE/MILLET 1 MAIZE/RICE 1 MAIZE/SUNFLOWER 1 MAIZEPOPCORN 1 MBAMBARA NUTS 1 MBEANS 2 MIAIZE/CASSAVA 1 MILET 1 MILLAT 1 MILLET 154 MILLET AND SORGHUM 1 MILLET CASSAVA 1 MILLET/ CASSAVA 1 MILLET/CASAVA 1 MILLET/CASSAVA 10 MIXED 3 1 MIXED BEAN 1 MIXED BEANS 185 MIXED BEANS (FOR GRAIN) 58 MIXED BEANS (FOR SEED) 10 MIXED BEANS/ CASSAVA 1 MIXEDBEANS 3 OKRA 2 ONION 10 ORCHARD 4 OTHER VEGETABLES 1 P/ MILLET 1 1 1 2 1 1 PARCEL GROUNDNUTS 1 PARCEL SUNFLOWER 1 PASTURE 1 PASTURES 1 PEARL MILLET 14 PEARL MILLETS 3 PERMANENT PASTURES 1 PINEAPPLE 4 PINEAPPLES 3 PLANTATION 1 POP CORN 2 POPCON 1 POPCORN 23 POPCORNS 2 POPO CORN 1 PORPCORN 1 POTATO 2 POTATOES 5 POTETOE 1 PUMPKIN 2 RAP 1 RAPE 9 RESIDENTIAL 5 RICE 156 S/POTATOES/CASSAVA 1 SAYO BEANS 10 SAYO BEANS AND SUNFLOW 1 SEED COTTON 5 SOGHUM 3 SOGHURM 2 SORGHUM 88 SORGHUM NORTH 1 SORGHUM(FOR GRAIN) 20 SORGHUM(FOR SILAGE) 1 SORGUM 1 SOUGHAM 1 SOUGHAM SOUTH 1 SOYA BEANS 2066 SOYA BEANS (FOR GRAIN) 36 SOYA BEANS (FOR SEED) 3 SPOTATOES 1 SUGAR CAN 1 SUGAR CANE 1 SUGARCANE 2 SUGER CAN 1 SUN FLOWER 1241 SUNFLO 1 SUNFLOWE 2 SUNFLOWER 2 SUNFLOWER (FOR GRAIN) 45 SUNFLOWER (FOR SEED) 8 SUNFLOWER 🌻 1 SUNFLOWER/ GROUNDNUTS 1 SUNFLOWER/BEANS 1 SUNFLOWER/MIXED BEANS 1 SUNFLOWERS 2 SUNLOWER 1 SWEAT POTATOES 9 SWEEPOTATOES/COWPEAS 1 SWEET 1 1 1 SWEET POTATOE 297 SWEET POTATOES (FOR TUBER) 9 TEMPORAL PASTURE 1 TEMPORARY PASTURE 1 TOBACCO 76 TOBACCO (VIRGINIA) 2 TOBACCO BURLEY 1 TOBACCO VIRGINIA 2 TOBBACCO 4 TOBBACO 5 TOMATO 9 TOMATOE 4 TOMATOES 15 1 2 1 TWO SUNFLOWER 8 VEGETABLE 2 VEGETABLES 9 VIGINIA TOBACCO 2 VIGINIA TOBACO 1 VIRGIN 2 VIRGIN LAND 1 VIRGINIA 1 VIRGINIA TOBACCO 4 VIRGINIA TOBBACO 1 WATER MELON 3 WATERMELON 10 WENGO 1 WEST MAIZE 1 WHEAT (FOR GRAIN) 1 ÇASSAVA/MILLET 1 Ä¢ROUNDNUTS 1 25202 0 1 Owned 21173 2 Rented in 2156 3 Borrowed in 1873 -999999999 missing 0 25202 0 1 Yes 6093 2 No 19109 -999999999 missing 0 What type of document do you own for this [Parcel] ? 6093 19109 1 Title deed 878 2 Certificate of occupancy/Land Certificate 617 3 Certificate of hereditary acquisition 602 4 Certificate of customary tenure 3938 5 Perpetual/long term lease or rental agreement 6 6 Certificate issued for adverse possession or prescription 26 88 Other, specify 26 -999999999 missing 0 Sysmiss 19109 other, specify 26 0 Certificate from the chief 1 FARM PERMIT 4 FARM PERMIT LETTER 1 FROM TBZ 1 LANDUSE CERTIFICATE 1 LETTER FROM THE HANDMAN 1 LETTER FROM THE OWNER OF THE FIELD WHERE THE BOUGHT THE LAND 1 OFFER LETTER 1 OWNERSHIP 1 Offer letter 2 bi party agreement form 1 bought 1 bought from the owner 1 chiefs book 1 inherited farm 1 inherited from grandmother 1 inherited from my mother 1 just a paper from the head man but not ownership 1 no documents owened 1 offer letter 2 receipts land still not processed 1 25202 0 1 Yes 24402 2 No 800 -999999999 missing 0 If no, in which district is the [Parcel] 800 24402 101 1016 101 CHIBOMBO 29 102 CHISAMBA 23 103 CHITAMBO 5 104 KABWE 19 105 KAPIRI MPOSHI 30 106 LUANO 5 107 MKUSHI 19 108 MUMBWA 49 109 NGABWE 0 110 SERENJE 14 111 SHIBUYUNJI 13 201 CHILILABOMBWE 7 202 CHINGOLA 12 203 KALULUSHI 28 204 KITWE 7 205 LUANSHYA 13 206 LUFWANYAMA 69 207 MASAITI 17 208 MPONGWE 24 209 MUFULIRA 9 210 NDOLA 21 301 CHADIZA 0 302 Chama 3 303 CHASEFU 2 304 CHIPANGALI 2 305 CHIPATA 14 306 KASENENGWA 2 307 KATETE 9 308 LUMEZI 5 309 LUNDAZI 8 310 LUSANGAZI 0 311 MAMBWE 1 312 NYIMBA 1 313 PETAUKE 10 314 SINDA 3 315 VUBWI 2 401 Chembe 3 402 Chienge 3 403 Chifunabuli 1 404 Chipili 0 405 Kawambwa 4 407 Mansa 11 408 Milenge 6 409 MWANSABOMBWE 0 410 Mwense 1 411 Nchelenge 1 412 Samfya 0 501 CHILANGA 9 502 CHONGWE 14 503 KAFUE 10 504 LUANGWA 2 505 LUSAKA 4 506 RUFUNSA 7 601 CHINSALI 5 602 ISOKA 7 603 KANCHIBIYA 0 604 LAVUSHIMANDA 0 605 MAFINGA 0 606 MPIKA 5 607 NAKONDE 2 608 SHIWANG'ANDU 1 701 CHILUBI 1 702 KAPUTA 1 703 KASAMA 6 704 LUNTE 0 705 LUPOSOSHI 2 706 LUWINGU 5 707 MBALA 16 708 MPOROKOSO 2 709 MPULUNGU 15 710 MUNGWI 2 711 NSAMA 2 712 SENGA HILL 4 801 CHAVUMA 0 802 IKELENGE 0 803 KABOMPO 2 804 KALUMBILA 0 805 KASEMPA 5 806 MANYINGA 0 807 MUFUMBWE 1 808 MUSHINDAMO 4 809 MWINILUNGA 4 810 SOLWEZI 7 811 ZAMBEZI 1 901 CHIKANKATA 6 902 CHIRUNDU 0 903 CHOMA 8 904 GWEMBE 6 905 ITEZHI TEZHI 4 906 KALOMO 17 907 KAZUNGULA 18 908 LIVINGSTONE 1 909 MAZABUKA 6 910 MONZE 9 911 NAMWALA 2 912 PEMBA 3 913 SIAVONGA 1 914 SINAZONGWE 0 915 ZIMBA 6 1001 KALABO 6 1002 KAOMA 24 1003 LIMULUNGA 5 1004 LUAMPA 4 1005 LUKULU 2 1006 MITETE 4 1007 MONGU 5 1008 MULOBEZI 3 1009 MWANDI 0 1010 NALOLO 2 1011 NKEYEMA 2 1012 SENANGA 0 1013 SESHEKE 0 1014 SHANG'OMBO 0 1015 SIKONGO 2 1016 SIOMA 3 -999999999 missing 0 Use(s) of this [Agricultural land] in 2023/2024:CULTIVATED GARDEN/BACKYARD 25202 0 0 No 22998 1 Yes 2204 Use(s) of this [Agricultural land] in 2023/2024:CULTIVATED WITH TEMPORARY CROPS 25202 0 0 No 4296 1 Yes 20906 Use(s) of this [Agricultural land] in 2023/2024:CULTIVATED WITH PERMANENT CROPS 25202 0 0 No 22478 1 Yes 2724 Use(s) of this [Agricultural land] in 2023/2024:FALLOW 25202 0 0 No 21711 1 Yes 3491 Use(s) of this [Agricultural land] in 2023/2024:TEMPORARY PASTURES 25202 0 0 No 25032 1 Yes 170 Use(s) of this [Agricultural land] in 2023/2024:PERMANENT MEADOWS AND PASTURES 25202 0 0 No 25106 1 Yes 96 Use(s) of this [Agricultural land] in 2023/2024:RESIDENTIAL 25202 0 0 No 19830 1 Yes 5372 Use(s) of this [Agricultural land] in 2023/2024:FARM BUILDINGS AND FARMYARDS 25202 0 0 No 24500 1 Yes 702 Use(s) of this [Agricultural land] in 2023/2024:BUSINESS/COMMERCIAL 25202 0 0 No 25118 1 Yes 84 Use(s) of this [Agricultural land] in 2023/2024:FOREST AND WOODED LAND 25202 0 0 No 24404 1 Yes 798 Use(s) of this [Agricultural land] in 2023/2024:AQUACULTURE ON THE FARM/HOLDING 25202 0 0 No 25171 1 Yes 31 Use(s) of this [Agricultural land] in 2023/2024:VIRGIN LAND 25202 0 0 No 25033 1 Yes 169 Use(s) of this [Agricultural land] in 2023/2024:OTHER(SPECIFY) 25202 0 0 No 25202 1 Yes 0 What was the total area of this[Parcel] ? 25202 0 0.01 690000 127.579 5791.275 -999999999 missing Area unit 25202 0 1 Lima 5727 2 Acre 3103 3 Hectare 15534 4 Square meteres 838 -999999999 missing 0 25202 0 1 15346 2 5934 3 2672 4 925 5 237 6 67 7 15 8 3 9 2 10 1 -999999999 missing 0 Province Name 25202 0 1 CENTRAL 4730 2 COPPERBELT 1793 3 EASTERN 3984 4 LUAPULA 1834 5 LUSAKA 1127 6 MUCHINGA 1861 7 NORTHERN 2269 8 NORTH WESTERN 1722 9 SOUTHERN 2766 10 WESTERN 3116 -999999999 missing 0 District Name 25202 0 CHADIZA 181 CHAMA 202 CHASEFU 249 CHAVUMA 119 CHEMBE 55 CHIBOMBO 715 CHIENGE 178 CHIFUNABULI 214 CHIKANKATA 93 CHILANGA 254 CHILILABOMBWE 136 CHILUBI 73 CHINGOLA 100 CHINSALI 270 CHIPANGA 321 CHIPATA 261 CHIPILI 117 CHIRUNDU 166 CHISAMBA 620 CHITAMBO 153 CHOMA 262 CHONGWE 423 GWEMBE 74 IKELENGE 47 ISOKA 231 ITEZHI TEZHI 195 KABOMPO 154 KABWE 167 KAFUE 183 KALABO 277 KALOMO 274 KALULUSH 133 KALUMBILA 307 KANCHIBIYA 264 KAOMA 189 KAPIRI MPOSHI 906 KAPUTA 207 KASAMA 361 KASEMPA 175 KASENENGWA 289 KATETE 350 KAWAMBWA 288 KAZUNGULA 306 KITWE 261 LAVUSHIMANDA 119 LIMULINGA 171 LIVINGSTONE 77 LUAMPA 200 LUANGWA 29 LUANO 289 LUANSHYA 222 LUFWANYAMA 301 LUKULU 247 LUMEZI 224 LUNDAZI 243 LUNGA 61 LUNTE 158 LUPOSOSHI 63 LUSAKA 177 LUSANGAZI 225 LUWINGU 149 MAFINGA 309 MAMBWE 242 MANSA 246 MANYINGA 113 MASAITI 215 MAZABUKA 179 MBALA 315 MILENGE 112 MITETE 148 MKUSHI 499 MONGU 423 MONZE 406 MPIKA 246 MPONGWE 169 MPOROKOSO 124 MPULUNGU 169 MUFULIRA 124 MUFUMBWE 188 MULOBEZI 120 MUMBWA 781 MUNGWI 430 MUSHINDAMO 59 MWANDI 60 MWANSABOMBWE 105 MWENSE 122 MWINILUNGA 197 NAKONDE 265 NALOLO 218 NAMWALA 186 NCHELENGE 220 NDOLA 132 NGABWE 146 NKEYEMA 162 NSAMA 50 NYIMBA 326 PEMBA 163 PETAUKE 350 RUFUNSA 61 SAMFYA 116 SENANGA 213 SENGA HILL 170 SERENJE 244 SESHEKE 36 SHANG'OMBO 310 SHIBUYUNJI 210 SHIWANG'ANDU 157 SIAVONGA 62 SIKONGO 137 SINAZONGWE 159 SINDA 394 SIOMA 205 SOLWEZI 131 VUBWI 127 ZAMBEZI 232 ZIMBA 164 RESPONSE STATUS 25202 0 1 Interview Consented 25202 2 Refusal 0 3 Non-contact 0 4 No competent person found 0 -999999999 missing 0 14. Did you or any member of household grow any crops between 1st October 2023 a 25202 0 1 Yes 25202 2 No 0 -999999999 missing 0 Did you or any member of household raise any Livestock between 1st October 2 25201 1 1 Yes 16585 2 No 8616 -999999999 missing 1 Did you or any member of household engage in Honeyproduction between 1st Oct 25200 2 1 Yes 764 2 No 24436 -999999999 missing 2 During the past 12 months have you or any member of your holding collected a 25202 0 1 YES 18381 2 No 6821 -999999999 missing 0 Aggreagated land use types 25202 0 1 Mixed agricultural and non-agricultural use 4348 2 Only agricultural use 19024 3 Only non-agricultural use 1830 Parcel area in ha corrected 25202 0 5e-05 14000 4.02 89.299 Survey scope 25202 0 0 Agricultural holding - non-response 0 1 Agricultural holding - response 25202 2 Only forestry - response 0 3 No activity - response 0 Farm size for weight adjustment 25202 0 1 large-scale farm 15 2 small and medium scale farm 25187 25202 0 1 702.762 111.235 74.088 25202 0 0.0001 1 0.723 0.358 Parcel area in ha 25202 0 5e-05 14000 4.012 89.299 Interview key (identifier in XX-XX-XX-XX format) 19948 0 Unique 32-character long identifier of the interview 19948 0 Province Name 19948 0 1 CENTRAL 3696 2 COPPERBELT 1708 3 EASTERN 3573 4 LUAPULA 1029 5 LUSAKA 1017 6 MUCHINGA 1755 7 NORTHERN 1930 8 NORTH WESTERN 1368 9 SOUTHERN 2032 10 WESTERN 1840 District Name 19948 0 CHADIZA 151 CHAMA 182 CHASEFU 210 CHAVUMA 84 CHEMBE 28 CHIBOMBO 613 CHIENGE 112 CHIFUNAB 98 CHIKANKA 70 CHILANGA 223 CHILILAB 126 CHILUBI 56 CHINGOLA 98 CHINSALI 265 CHIPANGA 292 CHIPATA 230 CHIPILI 54 CHIRUNDU 95 CHISAMBA 431 CHITAMBO 98 CHOMA 199 CHONGWE 374 GWEMBE 54 IKELENGE 41 ISOKA 209 ITEZHI T 163 KABOMPO 126 KABWE 165 KAFUE 173 KALABO 144 KALOMO 179 KALULUSH 124 KALUMBIL 224 KANCHIBI 250 KANCHIBIYA 14 KAOMA 140 KAPIRI M 732 KAPUTA 165 KASAMA 316 KASEMPA 126 KASENENG 252 KATETE 305 KAWAMBWA 139 KAZUNGUL 194 KITWE 252 LAVUSHIM 84 LAVUSHIMANDA 14 LIMULUNG 83 LIVINGST 67 LUAMPA 123 LUANGWA 28 LUANO 233 LUANSHYA 208 LUFWANYA 285 LUKULU 126 LUMEZI 224 LUNDAZI 230 LUNGA 28 LUNTE 140 LUPOSOSH 55 LUSAKA 163 LUSANGAZ 223 LUWINGU 140 Lufwanyama 1 MAFINGA 293 MAMBWE 216 MANSA 139 MANYINGA 98 MASAITI 210 MAZABUKA 125 MBALA 261 MILENGE 56 MITETE 84 MKUSHI 390 MONGU 224 MONZE 320 MPIKA 238 MPONGWE 167 MPOROKOS 112 MPULUNGU 157 MUFULIRA 112 MUFUMBWE 168 MULOBEZI 84 MUMBWA 537 MUNGWI 347 MUSHINDA 55 MWANDI 42 MWANSABO 70 MWENSE 95 MWINILUN 168 NAKONDE 221 NALOLO 139 NAMWALA 154 NCHELENG 154 NDOLA 125 NGABWE 111 NKEYEMA 140 NSAMA 41 NYIMBA 251 Nakonde 14 PEMBA 125 PETAUKE 321 RUFUNSA 56 SAMFYA 56 SENANGA 122 SENGA HI 140 SERENJE 209 SESHEKE 28 SHANG'OM 167 SHIBUYUN 177 SHIWANG' 125 SHIWANG'ANDU 28 SIAVONGA 52 SIKONGO 70 SINAZONG 125 SINDA 374 SIOMA 124 SOLWEZI 124 VUBWI 112 ZAMBEZI 154 ZIMBA 110 RESPONSE STATUS 19948 0 1 Interview Consented 19948 2 Refusal 0 3 Non-contact 0 4 No competent person found 0 During the last 12 months did you or any member of household raise any livestock? 19948 0 1 Yes 12317 2 No 7631 MP01. Did the household produce any cow milk in the past 12 months? 12317 7631 1 YES 914 2 NO 11403 Sysmiss 7631 MP01a. How many milking cows did you have in the past 12 months ? 914 19034 1 120 4.009 7.888 Number of months with milk production in the past 12 months 914 19034 1 12 5.394 2.594 1 26 2 44 3 171 4 154 5 101 6 197 7 61 8 54 9 30 10 18 11 5 12 53 Sysmiss 19034 In how many months was the milk production typically high? 914 19034 0 7 2.3 1.253 0 33 1 223 2 300 3 223 4 86 5 31 6 15 7 3 Sysmiss 19034 For how many months was the milk production typically moderate? 914 19034 0 10 1.9 1.378 0 74 1 327 2 323 3 95 4 45 5 16 6 26 7 4 8 2 9 1 10 1 Sysmiss 19034 MP05. In how many months was the milk production typically low? 914 19034 0 9 1.194 1.159 0 244 1 410 2 168 3 56 4 22 5 5 6 3 7 4 9 2 Sysmiss 19034 In a typical HIGH PRODUCTION month, how many liters of milk did the household produce per day? 7414 12534 1 1000 30.924 135.953 In a typical HIGH PRODUCTION month, how many liters of milk did the household consume per day? 8545 11403 0 75 0.455 2.283 In a typical HIGH PRODUCTION month, how many liters of milk did the household sell per day? 7413 12535 0 1000 30.295 135.974 What was the average unit price per liter of raw milk sold in a typical HIGH PRODUCTION month? 728 19220 0.00393 6 0.24 0.985 In a typical moderate month, how much milk did the HH produce per day? 8545 11403 0 400 0.676 5.952 In a typical moderate month, how much milk did the HH consume per day? 8545 11403 0 60 0.3 1.525 In a typical moderate month, how much raw milk did the HH sell per day? 8545 11403 0 395 0.314 4.715 What was the average unit price of the raw milk sold in a typical moderate month 725 19223 0.00131 6 0.136 0.701 In a typical low month, how much milk did the HH produce per day? 8545 11403 0 750 0.406 8.768 In a typical low month, how much milk did the HH consume per day? 8545 11403 0 500 0.235 5.484 In a typical low month, how much raw milk did the HH sell per day? 8545 11403 0 265 0.161 4.056 What was the average unit price of the raw milk sold in a typical low month? 6442 13506 5 55 13.988 9.141 914 19034 1 Head 519 2 Spouse 18 3 Male child 265 4 Female child 5 5 Other Male 39 6 Other Female 0 7 Both head and spouse 35 8 Non household male 32 9 Non household female 1 Sysmiss 19034 Who primarily decides how revenue from the sales was or will be used? 357 19591 1 Head 250 2 Spouse 32 3 Male child 12 4 Female child 0 5 Other male 5 6 Other female 0 7 Both head and spouse 58 Sysmiss 19591 Where did the household mainly sell the milk? 356 19592 1 At the homestead 140 2 Milk collection centre 54 3 within the community but not at a milk collection centre 145 4 outside the community but not at a milk collection centre 17 Sysmiss 19592 Who determines the price of sale? 356 19592 1 Buyer 74 2 Household 278 12 4 88 Other 0 Sysmiss 19592 MP21_Other. Other to specify 4 0 COMMON PRICE 1 DID NOT SELL ANY MILK 1 MARKET PRICE 1 THE OWNERS OF THE COWS 1 Annual milk production total in liters 914 19034 30 138300 1551.499 6114.696 Average annual milk production per cow in liters 914 19034 3.429 15240 456.52 853.249 Survey scope 19948 0 0 Agricultural holding - non-response 0 1 Agricultural holding - response 19948 2 Only forestry - response 0 3 No activity - response 0 Farm size for weight adjustment 19948 0 1 large-scale farm 9 2 small and medium scale farm 19939 19948 0 1 702.762 107.453 70.638 Province Name 11 0 1 CENTRAL 1 2 COPPERBELT 1 3 EASTERN 1 4 LUAPULA 1 5 LUSAKA 1 6 MUCHINGA 1 7 NORTHERN 1 8 NORTH WESTERN 1 9 SOUTHERN 1 10 WESTERN 1 11 ZAMBIA 1 -999999999 missing 0 11 0 142.919 1519530.866 276278.339 457484.947 11 0 2 361142.217 65662.221 112886.624 11 0 1.399 28.821 18.916 7.453 Interview key (identifier in XX-XX-XX-XX format) 35831 0 Unique 32-character long identifier of the interview 35831 0 Id in "AGRIC_LAND" 35831 0 1 29628 2 5350 3 705 4 124 5 17 6 5 7 2 -999999999 missing 0 Id in "FIELD_ROSTER" 35831 0 1 22801 2 8821 3 3132 4 859 5 168 6 35 7 9 8 2 9 2 10 2 -999999999 missing 0 Id in CROP_ROSTER 35831 0 101 Maize(for grain) 19220 102 Sorghum(for grain) 277 103 Rice 510 104 Finger Millet 377 105 Pearl Millet 222 106 Wheat (for grain) 4 107 Barley (for grain) 4 201 Mixed Beans (for grain) 1180 202 Cow Peas (for grain) 177 203 Soya beans (for grain) 2854 204 Sunn hemp 3 205 Bambara nuts 64 301 Paprika 0 302 Watermelon 23 303 Pumpkin 5 304 Tomato 31 305 Cabbage 8 306 Rape 13 307 Spinach 0 308 Onion 12 309 Okra 3 310 Egg plant 2 311 Chilies 6 312 Chomolia 0 313 Cauliflower 0 314 Carrots 1 315 Lettuce 0 316 Green beans 6 317 Impwa 0 318 Chinese cabbage 1 319 Sweet sorghum 0 320 Ginger 0 321 Turmeric 0 322 Garlic 1 401 Sweet Potatoes (for tuber) 713 402 Irish Potatoes (for tuber) 26 403 Cassava 2899 501 Sunflower (for grain) 2106 502 Castor Beans (incl. for seed) 4 503 Groundnuts(unshelled) 3043 601 Grapes 0 602 Passion Fruit 0 603 Granadilla 0 604 Calabashi 0 702 Seed Cotton 186 801 Pears 0 802 Oranges 2 803 Guavas 1 804 Apples 0 805 Lemons 1 806 Mangoes 0 807 Pawpaw 0 808 Lime 0 809 Monkey Apples 0 810 Grape fruit 0 811 Butter Pear 0 812 Golden plum 0 813 Coconut 0 814 Sour plum 0 815 Pineapples 12 816 Avocado 1 817 Bananas 17 818 Stevia 0 819 Cocoa 0 820 Coffee 0 821 Tea 0 822 Cashew nut 0 823 Sugar Cane (Not the out-grower scheme type) 14 901 Leguminous grasses (sunhemp, velvet neans, cowpease,etc) 3 902 Cereal grasses (bracharia, napier, rhodes grass, forage sorg 0 1011 Maize(for seed) 557 1012 Maize(for silage) 4 1013 Maize(green maize) 146 1014 Maize (popcorn) 72 1021 Sorghum(seed) 9 1022 Sorghum(for silage) 7 1061 Wheat (for seed) 0 1071 Barley (for seed) 1 2011 Mixed Beans (for seed) 77 2022 Cow Peas (for seed) 18 2031 Soya beans (for seed) 74 4011 Sweet Potatoes (for seed) 12 4021 Irish Potatoes (for seed) 0 5011 Sunflower (for seed) 291 5031 Groundnuts(unshelled, for seed) 357 7011 Tobacco (Virginia) 146 7012 Tobacco (Burley) 28 plantation or scattered trees 2947 32884 1 PLANTATION 2132 2 SCATTERED 815 -999999999 missing 0 Sysmiss 32884 Main crop on field 1021 34810 1 Yes 624 2 No 397 -999999999 missing 0 Sysmiss 34810 Area planted 32881 2950 0 690000 52.104 4354.04 -999999999 missing 3 Planted area unit 32856 2975 1 Lima 11733 2 Acre 5739 3 Hectare 15192 4 Square meters 192 -999999999 missing 0 Sysmiss 2975 32882 2949 1 Yes 420 2 No 32462 -999999999 missing 2 Sysmiss 2947 number of plants on the field 2947 32884 0 1000000 3145.359 23217.617 -999999999 missing Which main [CROP] seeds did your farm use in 2023/2024 agricultural season? 32882 2949 1 Modern Varieties, Certified 17411 2 Modern Varieties, Uncertifies/Recycled Varieties 4935 3 Traditional Varieties, Uncertified/Local Varieties 10322 99 Do not know 214 -999999999 missing 2 Sysmiss 2947 TOTAL quantity of seed planted in 2023/2024 agricultural season 32882 2949 0 40000 25.752 459.155 -999999999 missing 2 Unit seeds planted 32828 3003 1 Number of seedlings 75 2 Ka B.P 298 3 Muchumbu 33 4 Meda 4260 5 5lt / gallon 3012 6 20lt tin 1737 7 Grams 191 8 Kilogram 12329 9 10kg Pocket/bag 7969 10 25kg bag 741 11 50kg bag of sweet potato vines 593 12 50kg bag 1506 13 90kg bag 84 -999999999 missing 0 Sysmiss 3003 Total quantity of seedlings planted in 2023/2024 agricultural season 2132 33699 0 5000000 6983.51 121574.896 -999999999 missing Unit seedlings planted 1979 33852 1 Number of seedlings 30 2 30cm Cassava Cuting 1894 88 Other (specify) 55 -999999999 missing 0 Sysmiss 33852 55 0 1 METER CASSAVA CUTTINGS 2 10cm Casava Cutting 3 1 15CM 1 15cm cassava cutting 6 20cm cassava cuttings 1 25 1 25cm Cassava Cutting 1 30 BAGS OF 50 KG CASSAVA CUTING 1 35 1 40 cm CASSAVA CUTTINGS 1 4000 1 40cm CASSAVA CUTTINGS 1 40cm cuttings 2 1 1 50 BAGS OF 50 KG OF CASSAVA CUTING 1 50 KG SACKS PACKAGE 1 50cm 1 50cm CASSAVA CUTTINGS 1 5cm cassava cutting 1 60 5 60 cm 1 6000 1 70 2 80 1 BUNDLES 1 Bundles 1 Kg 1 NUMBER OF PLANTS 1 different sizes 2 kg 1 various 2 various sizes 6 Organic fertilizers applied:SOLID MANURE 35831 0 0 No 33760 1 Yes 2071 Organic fertilizers applied:LIQUID MANURE/SLURRY 35831 0 0 No 35765 1 Yes 66 Organic fertilizers applied:VEG MATERIAL & COMPOST 35831 0 0 No 35776 1 Yes 55 Organic fertilizers applied:STABILISED SEWAGE SLUDGE 35831 0 0 No 35826 1 Yes 5 Organic fertilizers applied:BIO-STIMULANT 35831 0 0 No 35705 1 Yes 126 Organic fertilizers applied:OTHER (SPECIFY) 35831 0 0 No 35752 1 Yes 79 Organic fertilizers applied:None 32697 3134 0 No 27410 1 Yes 5287 Sysmiss 3134 TCP01-OTHER. organic fertilizer:0 79 0 ANSHES 1 ANT HILL SOIL 1 ANTHILL SOIL 1 BOOSTER 5 BOSTARS 1 CHICKEN MANURE 2 COMPOUND D 32 COMPOUND, 1 COMPUND D 1 COW DUN 1 Chemical Fertilizers 1 Compound D 1 D COMPOUND 1 1 D Compound 2 D.COMPOUND 1 D.I GR0W FOLIAR FERTILIZER 1 Fertilizer 1 KUTULISA CHANGING PLACES OF A KRAAL FOR SOIL FERTILITY 1 MANURED FIELD 1 MANURED FIELD WITH ANIMAL DUG 1 ORGANIC FERTILISER 1 SMALL MAGUGO 3 UREA 3 WEEDKILLY 1 ZUNDU 4 Zundu 2 booster 1 chitemene system 2 keeping CATTLE in upcoming farm for fertility(Animal dung) 1 keeping CATTLE in upcoming using farm for fertility(Animal dung) 1 no fertiliser was used 1 vegetative fertilizer 1 TCP01-OTHER. organic fertilizer:1 79 0 ##N/A## 48 ROUNDUP 1 UREA 30 TCP01-OTHER. organic fertilizer:2 79 0 ##N/A## 79 TCP01-OTHER. organic fertilizer:3 79 0 ##N/A## 79 TCP01-OTHER. organic fertilizer:4 79 0 ##N/A## 79 Inorganic (chemical) basal fertilizers:Compound B 35831 0 0 NO 35656 1 YES 175 Inorganic (chemical) basal fertilizers:Compound D 35831 0 0 NO 20173 1 YES 15658 Inorganic (chemical) basal fertilizers:Compound S 35831 0 0 NO 35815 1 YES 16 Inorganic (chemical) basal fertilizers:Compound X 35831 0 0 NO 35821 1 YES 10 Inorganic (chemical) basal fertilizers:Other (SPECIFY) 35831 0 0 NO 35760 1 YES 71 Inorganic (chemical) basal fertilizers:None 35831 0 0 32919 1 2912 -999999999 missing 0 Inorganic (chemical) basal fertilizers:Don't Know 35831 0 0 NO 35756 1 YES 75 71 0 BOOSTER 11 BOSOL 1 Bosters 1 CALCIUM NITRATE 1 CHICKEN DUN 2 CHICKEN MANURE 3 COMPOST MANUAL 1 COW DUN 1 ECOFERT 1 FLOWERING BOOSTERS 1 GREEN SULPHUR 1 JABS ORGANIC FERTILIZER 1 LIQUID FERTILISER 1 NOCKLAND POWDER 1 SOLOBA 2 SOLOBA BOOSTER 1 SOLOMBA 2 SOLUBAR FERTILIZERS 4 SOLUBLE FERTILISER 1 SOYA BEANS BOOSTER 1 SOYABEANS BOOSTER 1 SUPERFERT FERTILISER 1 SUPERFERT FERTILIZERS 1 TOMBWE 1 TOMBWE FERTILISER 2 TOMBWE MIXED 2 TOP 24 FERTILISE 1 UREA 1 URIEA 1 ZUNDU 2 ZUNDU FERTILISER 2 booster 1 chitemene system 13 chitemene systems 1 soluber 1 soluber fertiliser 2 71 0 ##N/A## 71 71 0 ##N/A## 71 71 0 ##N/A## 71 71 0 ##N/A## 71 Inorganic (chemical) top dressing fertilizers:Urea 35831 0 0 NO 20470 1 YES 15361 Inorganic (chemical) top dressing fertilizers:Ammonium Nitrate 35831 0 0 NO 35793 1 YES 38 Inorganic (chemical) top dressing fertilizers:CAN (calcium ammon. nitr) 35831 0 0 NO 35725 1 YES 106 Inorganic (chemical) top dressing fertilizers:Ammonium Sulphate 35831 0 0 NO 35815 1 YES 16 Inorganic (chemical) top dressing fertilizers:Other (specify) 35831 0 0 NO 35789 1 YES 42 Inorganic (chemical) top dressing fertilizers:None 35831 0 0 32883 1 2948 -999999999 missing 0 Inorganic (chemical) top dressing fertilizers:Don't Know 35831 0 0 NO 35776 1 YES 55 TCP03-OTHER. inorganic (chemical) top dressing fertilizers:0 42 0 0 2 ANIMAL MANURE 1 BOOSTER 1 BOOSTER (GROWER) 1 BOOSTERS 1 CAN 1 CHICKEN MANURE 1 CHICKEN MANURE MIXED WITH GOAT MANURE. 1 COW DUN 1 1 Chitemene system 1 FOLIA FERTILIZER 1 FastGrow NPK Fertilizer 1 JABS ORGANIC MULTIPLIER 1 SLUBA 1 SOLOMBA 1 SOLUBAR FERTILIZERS 5 SOLUBLE COPOUND FERTILISER 1 SOLUBLE FERTILISER 1 SOLUBOR 1 SOYA BOOSTER 2 SOYABEANS BOOSTER 1 SOYABOOST 1 SULUMBA 1 TOMBWE MIXED FERTILISER 1 Top Dressing 1 ZUNDU 1 ZUNDU FERTILISER 1 Zundu 1 chitemene system 5 folly fate soluble booster 1 soloba 1 TCP03-OTHER. inorganic (chemical) top dressing fertilizers:1 42 0 ##N/A## 42 TCP03-OTHER. inorganic (chemical) top dressing fertilizers:2 42 0 ##N/A## 42 TCP03-OTHER. inorganic (chemical) top dressing fertilizers:3 42 0 ##N/A## 42 TCP03-OTHER. inorganic (chemical) top dressing fertilizers:4 42 0 ##N/A## 42 Pesticides applied during the 2023/2024 agricultural season?:INSECTICIDES(LIQUID) 35831 0 0 NO 34139 1 YES 1692 Pesticides applied during the 2023/2024 agricultural season?:INSECTICIDES(SOLID) 35831 0 0 NO 35619 1 YES 212 Pesticides applied during the 2023/2024 agricultural season?:HERBICIDE(LIQUID) 35831 0 0 NO 33991 1 YES 1840 Pesticides applied during the 2023/2024 agricultural season?:HERBICIDE(SOLID) 35831 0 0 NO 35634 1 YES 197 Pesticides applied during the 2023/2024 agricultural season?:FUNGICIDE (LIQUID) 35831 0 0 NO 35773 1 YES 58 Pesticides applied during the 2023/2024 agricultural season?:FUNGICIDE (SOLID) 35831 0 0 NO 35816 1 YES 15 Pesticides applied during the 2023/2024 agricultural season?:RODENTICIDE (LIQUID) 35831 0 0 NO 35797 1 YES 34 Pesticides applied during the 2023/2024 agricultural season?:RODENTICIDE (SOLID) 35831 0 0 NO 35823 1 YES 8 Pesticides applied during the 2023/2024 agricultural season?:BACTERICIDES (LIQUID) 35831 0 0 NO 35801 1 YES 30 Pesticides applied during the 2023/2024 agricultural season?:BACTERICIDES (SOLID) 35831 0 0 NO 35816 1 YES 15 Pesticides applied during the 2023/2024 agricultural season?:NONE 35831 0 0 30846 1 4985 -999999999 missing 0 When was most of the [CROP] seed planted on [FIELD] during the 2023/2024 agricul 32697 3134 1 OCTOBER 2023 2005 2 NOVEMBER 2023 14126 3 DECEMBER 2023 12676 4 JANUARY 2024 2693 5 FEBRUARY 2024 718 6 MARCH 2024 124 7 APRIL 2024 69 8 MAY 2024 72 9 JUNE 2024 63 10 JULY 2024 25 11 AUGUST 2024 30 12 SEPTEMBER 2024 96 -999999999 missing 0 Sysmiss 3134 Did your household harvest any of the [CROP] planted on this [FIELD] during the 32697 3134 1 Yes 20794 2 No 11903 -999999999 missing 0 Sysmiss 3134 Why did your household not harvest any [CROP] from [FIELD] during the 2023/2024 11903 23928 1 DRYSPELL/DROUGHT 11559 2 TOO MUCH RAIN/FLOOD 49 3 RAIN CAME TOO EARLY 15 4 RAIN CAME TOO LATE 46 5 ERRATIC/IRREGULAR RAINFALL 16 6 HAIL 2 7 FROST 1 8 TOO MUCH WIND 1 9 PEST/DISEASE 32 10 FIRE 3 11 DISAGREEMENT ON LAND OWNERSHIP 3 12 CROP THEFT 7 13 UNABLE TO WORK ON THE FIELD DUE TO 6 14 NO AVAILABLE LABOR 2 15 NOT HARVEST SEASON 7 16 DELAYED/DEFERRED HARVEST 3 17 LACK OF FERTILIZER 74 18 EATEN FRESH 53 88 OTHER (SPECIFY) 24 -999999999 missing 0 Sysmiss 23928 TCP07-OTHER. TCP07_OTHER. the other reason why your household did not harvest [C:0 24 0 ANIMAL DESTRUCTION 1 ANIMALS DESTRUCTION 1 CATTLE ATE THE WHOLE FIELD 1 DIDN'T HAVE FUNDS TO BUY INPUTS 1 1 EATEN AS FRESH CORN 1 EATEN BY HIPPOS 1 ELEPHANTS FROM MUSHINGASHI GAME RESERVE INVADED THE FIELD AND ATE ALL THE SOYABEANS 1 Eaten by wild animals 1 Elephant Stampede 1 Elephants destroyed the crop 1 NOT YET HARVESTED. THEY WILL START HARVESTING NEXT WEEK 1 PLANTED LATE 2 RATS WERE EATING THE TUBERS 1 SEED NOT GOOD 1 SEED WAS NOT GOOD 1 THE FIELD WAS GIVEN TO HIS ELDER BROTHER TO HARVEST AND HIS FAMILY 1 1 1 destroyed by elaphants 1 did not weed the field due to sickness 1 sold as fresh maize 1 very poor plant performance 1 TCP07-OTHER. TCP07_OTHER. the other reason why your household did not harvest [C:1 24 0 ##N/A## 23 floods 1 TCP07-OTHER. TCP07_OTHER. the other reason why your household did not harvest [C:2 24 0 ##N/A## 24 TCP07-OTHER. TCP07_OTHER. the other reason why your household did not harvest [C:3 24 0 ##N/A## 24 TCP07-OTHER. TCP07_OTHER. the other reason why your household did not harvest [C:4 24 0 ##N/A## 24 months of harvest [CROP] from [FIELD]?:OCTOBER 2023 20794 15037 0 NO 20720 1 YES 74 Sysmiss 15037 months of harvest [CROP] from [FIELD]?:NOVEMBER 2023 20794 15037 0 NO 20700 1 YES 94 Sysmiss 15037 months of harvest [CROP] from [FIELD]?:DECEMBER 2023 20794 15037 0 NO 20670 1 YES 124 Sysmiss 15037 months of harvest [CROP] from [FIELD]?:JANUARY 2024 20794 15037 0 NO 20658 1 YES 136 Sysmiss 15037 months of harvest [CROP] from [FIELD]?:FEBRUARY 2024 20794 15037 0 NO 20424 1 YES 370 Sysmiss 15037 months of harvest [CROP] from [FIELD]?:MARCH 2024 20794 15037 0 NO 19762 1 YES 1032 Sysmiss 15037 months of harvest [CROP] from [FIELD]?:APRIL 2024 20794 15037 0 NO 16897 1 YES 3897 Sysmiss 15037 months of harvest [CROP] from [FIELD]?:MAY 2024 20794 15037 0 NO 14588 1 YES 6206 Sysmiss 15037 months of harvest [CROP] from [FIELD]?:JUNE 2024 20794 15037 0 NO 13314 1 YES 7480 Sysmiss 15037 months of harvest [CROP] from [FIELD]?:JULY 2024 20794 15037 0 NO 17469 1 YES 3325 Sysmiss 15037 months of harvest [CROP] from [FIELD]?:AUGUST 2024 20794 15037 0 NO 20091 1 YES 703 Sysmiss 15037 months of harvest [CROP] from [FIELD]?:SEPTEMBER 2024 20794 15037 0 NO 20653 1 YES 141 Sysmiss 15037 32744 3087 0 31682.528 30.587 303.909 -999999999 missing 1 Quantity unit of [CROP] harvested from [FIELD] during 20795 15036 1 90kg bag 849 2 50kg bag 15505 3 25kg bag 610 4 10kg bag 112 5 20lt tin 399 6 90kg bag unshelled 117 7 50kg bag unshelled 963 8 25kg bag unshelled 65 9 20lt tin unshelled 38 10 5lt gallon 267 11 Meda 445 13 ka B.P 4 14 Tonnes 1 15 Kg 1377 16 10kg bag unshelled 7 17 Number 1 18 Boxes 1 19 Bunches or bundles or heaps 25 20 Crates 0 21 Cup 0 22 Packet 0 23 ka Dish 0 24 12 kg pocket 0 25 20 kg bag 0 26 Meda unshelled 9 27 Ka B.P unshelled 0 51 Cassava Raw: 90kg bag 0 52 Cassava Raw: 50kg bag 0 53 Cassava Raw: 25kg bag 0 54 Cassava Raw: 10kg bag 0 55 Cassava Raw: 20lt tin 0 56 Cassava Raw: 5lt gallon 0 57 Cassava Raw: Meda 0 58 Cassava Raw: Bunches 0 59 Cassava Raw: Muchumbu 0 60 Cassava Raw: Crates 0 61 Cassava Raw: Tonnes 0 62 Cassava Raw: Kg 0 99 Other (specify) 0 -999999999 missing 0 Sysmiss 15036 TCP09- Other unit 1 0 5 1 AREA harvested under this crop? 32745 3086 0 345000 21.494 1957.029 -999999999 missing Unit of area harvested 20793 15038 1 Lima 10021 2 Acre 4034 3 Hectare 6473 4 Square meters 265 -999999999 missing 0 Sysmiss 15038 area harvested equal to area planted 32697 3134 1 Yes 14177 2 No 18520 -999999999 missing 0 Sysmiss 3134 18520 17311 1 Dry spell/drought 17243 2 Too much rain/flood. 178 3 Rain came too early 20 4 Rain came too late 92 5 Erratic/irregular rainfall 125 6 Hail 1 7 Frost 2 8 Too much wind 4 9 Pest/diseases 148 10 Fire 5 11 Crop theft 39 12 Unable to work on the field due to sickness or other limitat 29 13 No available labor 26 14 Lack of Fertilizer 438 15 Eaten fresh 53 16 Field not weeded, weeded late 35 17 Soils generally bad 43 18 Seeds not good 39 -999999999 missing 0 Sysmiss 17311 Organic fertilizers applied on the [VEGETABLE CROP]:SOLID MANURE 35831 0 0 No 35796 1 Yes 35 Organic fertilizers applied on the [VEGETABLE CROP]:LIQUID MANURE/SLURRY 35831 0 0 No 35830 1 Yes 1 Organic fertilizers applied on the [VEGETABLE CROP]:VEG MATERIAL & COMPOST 35831 0 0 No 35827 1 Yes 4 Organic fertilizers applied on the [VEGETABLE CROP]:STABILISED SEWAGE SLUDGE 35831 0 0 No 35831 1 Yes 0 Organic fertilizers applied on the [VEGETABLE CROP]:BIOSTIMULANT 35831 0 0 No 35830 1 Yes 1 Organic fertilizers applied on the [VEGETABLE CROP]:NONE 35831 0 0 No 35827 1 Yes 4 Organic fertilizers applied on the [VEGETABLE CROP]:OTHER 35831 0 0 No 35831 1 Yes 0 VCP01-OTHER. Other(s) main organic fertlizers applied:0 0 0 VCP01-OTHER. Other(s) main organic fertlizers applied:1 0 0 VCP01-OTHER. Other(s) main organic fertlizers applied:2 0 0 VCP01-OTHER. Other(s) main organic fertlizers applied:3 0 0 VCP01-OTHER. Other(s) main organic fertlizers applied:4 0 0 35831 0 0 No 35829 1 Yes 2 VCP02. basal dressing fertilizer applied to the [VEGETABLE CROP]:Compound D 35831 0 0 No 35762 1 Yes 69 VCP02. basal dressing fertilizer applied to the [VEGETABLE CROP]:Compound S 35831 0 0 No 35830 1 Yes 1 VCP02. basal dressing fertilizer applied to the [VEGETABLE CROP]:Compound X 35831 0 0 No 35831 1 Yes 0 VCP02. basal dressing fertilizer applied to the [VEGETABLE CROP]:Do not know 35831 0 0 No 35831 1 Yes 0 VCP02. basal dressing fertilizer applied to the [VEGETABLE CROP]:None 35831 0 0 No 35829 1 Yes 2 VCP02. basal dressing fertilizer applied to the [VEGETABLE CROP]:Other 35831 0 0 No 35831 1 Yes 0 VCP02-OTHER. Other(s) main basal dressing fertlizers applied:0 0 0 VCP02-OTHER. Other(s) main basal dressing fertlizers applied:1 0 0 VCP02-OTHER. Other(s) main basal dressing fertlizers applied:2 0 0 VCP02-OTHER. Other(s) main basal dressing fertlizers applied:3 0 0 VCP02-OTHER. Other(s) main basal dressing fertlizers applied:4 0 0 VCP03. Basal dressing fertilizer applied to the [VEGETABLE CROP]:Urea 35831 0 0 No 35806 1 Yes 25 VCP03. Basal dressing fertilizer applied to the [VEGETABLE CROP]:Ammonium Nitrate 35831 0 0 No 35829 1 Yes 2 VCP03. Basal dressing fertilizer applied to the [VEGETABLE CROP]:CAN (calcium ammon. nitr) 35831 0 0 No 35822 1 Yes 9 VCP03. Basal dressing fertilizer applied to the [VEGETABLE CROP]:Ammonium Sulphate 35831 0 0 No 35831 1 Yes 0 VCP03. Basal dressing fertilizer applied to the [VEGETABLE CROP]:Do not know 35831 0 0 No 35830 1 Yes 1 VCP03. Basal dressing fertilizer applied to the [VEGETABLE CROP]:None 35831 0 0 No 35827 1 Yes 4 VCP03. Basal dressing fertilizer applied to the [VEGETABLE CROP]:Other 35831 0 0 No 35830 1 Yes 1 VCP03-OTHER. Other(s) main top dressing fertlizers applied:0 1 0 FOLIC FERTILISER 1 VCP03-OTHER. Other(s) main top dressing fertlizers applied:1 1 0 ##N/A## 1 VCP03-OTHER. Other(s) main top dressing fertlizers applied:2 1 0 ##N/A## 1 VCP03-OTHER. Other(s) main top dressing fertlizers applied:3 1 0 ##N/A## 1 VCP03-OTHER. Other(s) main top dressing fertlizers applied:4 1 0 ##N/A## 1 Pesticides applied on [CROP] in 2023/2024 agricultural season?:INSECTICIDES(LIQUID) 35831 0 0 No 35782 1 Yes 49 Pesticides applied on [CROP] in 2023/2024 agricultural season?:INSECTICIDES(SOLID) 35831 0 0 No 35824 1 Yes 7 Pesticides applied on [CROP] in 2023/2024 agricultural season?:HERBICIDE(LIQUID) 35831 0 0 No 35823 1 Yes 8 Pesticides applied on [CROP] in 2023/2024 agricultural season?:HERBICIDE(SOLID) 35831 0 0 No 35830 1 Yes 1 Pesticides applied on [CROP] in 2023/2024 agricultural season?:FUNGICIDE (LIQUID) 35831 0 0 No 35822 1 Yes 9 Pesticides applied on [CROP] in 2023/2024 agricultural season?:FUNGICIDE (SOLID) 35831 0 0 No 35823 1 Yes 8 Pesticides applied on [CROP] in 2023/2024 agricultural season?:RODENTICIDE (LIQUID) 35831 0 0 No 35830 1 Yes 1 Pesticides applied on [CROP] in 2023/2024 agricultural season?:RODENTICIDE (SOLID) 35831 0 0 No 35831 1 Yes 0 Pesticides applied on [CROP] in 2023/2024 agricultural season?:BACTERICIDES (LIQUID) 35831 0 0 No 35828 1 Yes 3 Pesticides applied on [CROP] in 2023/2024 agricultural season?:BACTERICIDES (SOLID) 35831 0 0 No 35831 1 Yes 0 Pesticides applied on [CROP] in 2023/2024 agricultural season?:NONE 35831 0 0 No 35827 1 Yes 4 Months of [CROP] seed planted on [FIELD] 112 35719 1 JANUARY 2024 20 2 FEBRUARY 2024 7 3 MARCH 2024 6 4 APRIL 2024 5 5 MAY 2024 5 6 JUNE 2024 5 7 JULY 2024 2 8 AUGUST 2024 3 9 SEPTEMBER 2024 2 10 OCTOBER 2023 11 11 NOVEMBER 2023 22 12 DECEMBER 2023 24 -999999999 missing 0 Sysmiss 35719 112 35719 1 74 2 10 3 3 5 3 8 1 12 2 15 1 25 4 40 1 100 1 144 1 156 2 300 1 400 1 600 1 625 1 1225 1 2000 1 2500 1 3500 1 10000 1 -999999999 missing 0 Sysmiss 35719 VCP06-UNIT of the AREA planted 112 35719 1 Lima 49 2 Acre 18 3 Hectare 27 4 Square meters 18 -999999999 missing 0 Sysmiss 35719 112 35719 1 79 2 9 5 3 8 1 12 2 15 1 25 3 40 1 50 2 100 1 144 1 156 2 300 1 400 1 600 1 625 1 1225 1 2000 1 2500 1 -999999999 missing 0 Sysmiss 35719 VCP07-UNIT of the AREA harvested 112 35719 1 Lima 57 2 Acre 14 3 Hectare 23 4 Square meters 18 -999999999 missing 0 Sysmiss 35719 112 35719 1 Yes 99 2 No 13 -999999999 missing 0 Sysmiss 35719 13 35818 1 dry spell/drought 11 2 Too much rain/flood. 0 3 Rain came too early 0 4 Rain came too late 0 5 Erratic/irregular rainfall 0 6 Hail 0 7 Frost 0 8 Too much wind 0 9 Pest/diseases 2 10 Fire 0 11 Crop theft 0 12 Unable to work on the field due to sickness or other limitat 0 13 No available labor 0 14 lack of Fertilizer 0 15 eaten fresh 0 16 field not weeded, weeded late 0 17 soils generally bad 0 18 seeds not good 0 -999999999 missing 0 Sysmiss 35818 Months for harvest [VEGETABLE CROP] from FIELD?:OCTOBER 2023 35831 0 0 No 35827 1 Yes 4 Months for harvest [VEGETABLE CROP] from FIELD?:NOVEMBER 2023 35831 0 0 No 35827 1 Yes 4 Months for harvest [VEGETABLE CROP] from FIELD?:DECEMBER 2023 35831 0 0 No 35827 1 Yes 4 Months for harvest [VEGETABLE CROP] from FIELD?:JANUARY 2024 35831 0 0 No 35820 1 Yes 11 Months for harvest [VEGETABLE CROP] from FIELD?:FEBRUARY 2024 35831 0 0 No 35818 1 Yes 13 Months for harvest [VEGETABLE CROP] from FIELD?:MARCH 2024 35831 0 0 No 35811 1 Yes 20 Months for harvest [VEGETABLE CROP] from FIELD?:APRIL 2024 35831 0 0 No 35811 1 Yes 20 Months for harvest [VEGETABLE CROP] from FIELD?:MAY 2024 35831 0 0 No 35816 1 Yes 15 Months for harvest [VEGETABLE CROP] from FIELD?:JUNE 2024 35831 0 0 No 35814 1 Yes 17 Months for harvest [VEGETABLE CROP] from FIELD?:JULY 2024 35831 0 0 No 35825 1 Yes 6 Months for harvest [VEGETABLE CROP] from FIELD?:AUGUST 2024 35831 0 0 No 35821 1 Yes 10 Months for harvest [VEGETABLE CROP] from FIELD?:SEPTEMBER 2024 35831 0 0 No 35817 1 Yes 14 112 35719 1 27 2 16 3 19 3.5 1 4 23 5 10 6 4 7 5 10 3 12 1 15 1 18 1 21 1 -999999999 missing 0 Sysmiss 35719 VCP11. On a typical day, quantity harvested of [VEGETABLE CROP] 112 35719 1 18 2 9 3 14 4 5 5 8 6 6 7 2 8 5 9 1 10 4 11 1 12 1 15 1 20 4 21 1 25 1 30 5 48 1 50 6 60 2 66 1 75 1 105 1 120 1 135 1 150 2 200 3 220 1 300 2 400 1 500 2 2000 1 -999999999 missing 0 Sysmiss 35719 VCP11-UNIT. harvest unit 112 35719 1 90kg bag 6 2 50kg bag 27 3 25kg bag 6 4 10kg bag 4 5 20lt tin 4 6 90kg bag unshelled 0 7 50kg bag unshelled 0 8 25kg bag unshelled 0 9 20lt tin unshelled 0 10 5lt gallon 1 11 Meda 6 13 ka B.P 0 14 Tonnes 7 15 Kg 8 16 10kg bag unshelled 0 17 Number 13 18 Boxes 16 19 Bunches or bundles or heaps 3 20 Crates 9 21 Cup 0 22 Packet 1 23 ka Dish 1 24 12 kg pocket 0 25 20 kg bag 0 26 Meda unshelled 0 27 Ka B.P unshelled 0 51 Cassava Raw: 90kg bag 0 52 Cassava Raw: 50kg bag 0 53 Cassava Raw: 25kg bag 0 54 Cassava Raw: 10kg bag 0 55 Cassava Raw: 20lt tin 0 56 Cassava Raw: 5lt gallon 0 57 Cassava Raw: Meda 0 58 Cassava Raw: Bunches 0 59 Cassava Raw: Muchumbu 0 60 Cassava Raw: Crates 0 61 Cassava Raw: Tonnes 0 62 Cassava Raw: Kg 0 99 Other (specify) 0 -999999999 missing 0 Sysmiss 35719 TVC11_UNIT- Other unit 0 0 Organic fertlizers applied on the [PERMANENT CROP] planted:SOLID MANURE 35831 0 0 No 35818 1 Yes 13 Organic fertlizers applied on the [PERMANENT CROP] planted:LIQUID MANURE/SLURRY 35831 0 0 No 35830 1 Yes 1 Organic fertlizers applied on the [PERMANENT CROP] planted:VEG MATERIAL & COMPOST 35831 0 0 No 35831 1 Yes 0 Organic fertlizers applied on the [PERMANENT CROP] planted:STABILISED SEWAGE SLUDGE 35831 0 0 No 35831 1 Yes 0 Organic fertlizers applied on the [PERMANENT CROP] planted:BIOSTIMULANT 35831 0 0 No 35831 1 Yes 0 Organic fertlizers applied on the [PERMANENT CROP] planted:NONE 2171 33660 0 1907 1 264 -999999999 missing 0 Sysmiss 33660 35831 0 0 No 35831 1 Yes 0 Other(s) Organic fertlizers applied on the [PERMANENT CROP] planted:0 0 0 Other(s) Organic fertlizers applied on the [PERMANENT CROP] planted:1 0 0 Other(s) Organic fertlizers applied on the [PERMANENT CROP] planted:2 0 0 Other(s) Organic fertlizers applied on the [PERMANENT CROP] planted:3 0 0 Other(s) Organic fertlizers applied on the [PERMANENT CROP] planted:4 0 0 Inorganic basal dressing fertilizers:Compound B 35831 0 0 No 35831 1 Yes 0 Inorganic basal dressing fertilizers:Compound D 35831 0 0 No 35796 1 Yes 35 Inorganic basal dressing fertilizers:Compound S 35831 0 0 No 35831 1 Yes 0 Inorganic basal dressing fertilizers:Compound X 35831 0 0 No 35831 1 Yes 0 Inorganic basal dressing fertilizers:Do not know 2171 33660 0 2171 -999999999 missing 0 Sysmiss 33660 Inorganic basal dressing fertilizers:None 2171 33660 0 1913 1 258 -999999999 missing 0 Sysmiss 33660 Inorganic basal dressing fertilizers:Other (specify) 35831 0 0 No 35830 1 Yes 1 PCP02-OTHER. Other(s) Inorganic basal dressing fertilizers:0 1 0 Latoon basin 1 PCP02-OTHER. Other(s) Inorganic basal dressing fertilizers:1 1 0 ##N/A## 1 PCP02-OTHER. Other(s) Inorganic basal dressing fertilizers:2 1 0 ##N/A## 1 PCP02-OTHER. Other(s) Inorganic basal dressing fertilizers:3 1 0 ##N/A## 1 PCP02-OTHER. Other(s) Inorganic basal dressing fertilizers:4 1 0 ##N/A## 1 Inorganic top dressing fertilizers:Urea 35831 0 0 No 35792 1 Yes 39 Inorganic top dressing fertilizers:Ammonium Nitrate 35831 0 0 No 35830 1 Yes 1 Inorganic top dressing fertilizers:CAN (calcium ammon. nitr) 35831 0 0 No 35830 1 Yes 1 Inorganic top dressing fertilizers:Ammonium Sulphate 35831 0 0 No 35831 1 Yes 0 Inorganic top dressing fertilizers:None 2171 33660 0 1916 1 255 -999999999 missing 0 Sysmiss 33660 Inorganic top dressing fertilizers:Other (specify) 35831 0 0 No 35830 1 Yes 1 PCP03-OTHER. Other(s) Inorganic top dressing fertilizers:0 1 0 0 1 PCP03-OTHER. Other(s) Inorganic top dressing fertilizers:1 1 0 ##N/A## 1 PCP03-OTHER. Other(s) Inorganic top dressing fertilizers:2 1 0 ##N/A## 1 PCP03-OTHER. Other(s) Inorganic top dressing fertilizers:3 1 0 ##N/A## 1 PCP03-OTHER. Other(s) Inorganic top dressing fertilizers:4 1 0 ##N/A## 1 Pesticides applied on the [PERMANENT CROP] planted:INSECTICIDES(LIQUID) 35831 0 0 No 35824 1 Yes 7 Pesticides applied on the [PERMANENT CROP] planted:INSECTICIDES(SOLID) 35831 0 0 No 35830 1 Yes 1 Pesticides applied on the [PERMANENT CROP] planted:HERBICIDE(LIQUID) 35831 0 0 No 35831 1 Yes 0 Pesticides applied on the [PERMANENT CROP] planted:HERBICIDE(SOLID) 35831 0 0 No 35831 1 Yes 0 Pesticides applied on the [PERMANENT CROP] planted:FUNGICIDE (LIQUID) 35831 0 0 No 35831 1 Yes 0 Pesticides applied on the [PERMANENT CROP] planted:FUNGICIDE (SOLID) 35831 0 0 No 35830 1 Yes 1 Pesticides applied on the [PERMANENT CROP] planted:RODENTICIDE (LIQUID) 35831 0 0 No 35831 1 Yes 0 Pesticides applied on the [PERMANENT CROP] planted:RODENTICIDE (SOLID) 35831 0 0 No 35831 1 Yes 0 Pesticides applied on the [PERMANENT CROP] planted:BACTERICIDES (LIQUID) 35831 0 0 No 35831 1 Yes 0 Pesticides applied on the [PERMANENT CROP] planted:BACTERICIDES (SOLID) 35831 0 0 No 35831 1 Yes 0 Pesticides applied on the [PERMANENT CROP] planted:NONE OF THE ABOVE 2171 33660 0 1956 1 215 -999999999 missing 0 Sysmiss 33660 Number of plants in production in the 2023/2024 agricultural season? 2947 32884 0 500000 3139.679 17796.783 -999999999 missing 1468 34363 1 YES 566 2 NO 902 -999999999 missing 0 Sysmiss 34363 Months of harvest of [PERMANENT CROP] during the 2023/2024 agricultur:OCTOBER 2023 35831 0 0 No 35731 1 Yes 100 Months of harvest of [PERMANENT CROP] during the 2023/2024 agricultur:NOVEMBER 2023 35831 0 0 No 35750 1 Yes 81 Months of harvest of [PERMANENT CROP] during the 2023/2024 agricultur:DECEMBER 2023 35831 0 0 No 35764 1 Yes 67 Months of harvest of [PERMANENT CROP] during the 2023/2024 agricultur:JANUARY 2024 35831 0 0 No 35752 1 Yes 79 Months of harvest of [PERMANENT CROP] during the 2023/2024 agricultur:FEBRUARY 2024 35831 0 0 No 35756 1 Yes 75 Months of harvest of [PERMANENT CROP] during the 2023/2024 agricultur:MARCH 2024 35831 0 0 No 35776 1 Yes 55 Months of harvest of [PERMANENT CROP] during the 2023/2024 agricultur:APRIL 2024 35831 0 0 No 35755 1 Yes 76 Months of harvest of [PERMANENT CROP] during the 2023/2024 agricultur:MAY 2024 35831 0 0 No 35758 1 Yes 73 Months of harvest of [PERMANENT CROP] during the 2023/2024 agricultur:JUNE 2024 35831 0 0 No 35725 1 Yes 106 Months of harvest of [PERMANENT CROP] during the 2023/2024 agricultur:JULY 2024 35831 0 0 No 35727 1 Yes 104 Months of harvest of [PERMANENT CROP] during the 2023/2024 agricultur:AUGUST 2024 35831 0 0 No 35686 1 Yes 145 Months of harvest of [PERMANENT CROP] during the 2023/2024 agricultur:SEPTEMBER 2024 35831 0 0 No 35652 1 Yes 179 Losses before the harvest for last harvest period, of [PERMANENT CROP] 566 35265 1 YES 250 2 NO 316 -999999999 missing 0 Sysmiss 35265 Reasons for the losses before the harvest? 250 35581 1 dry spell/drought 87 2 Too much rain/flood. 17 3 Rain came too early 0 4 Rain came too late 2 5 Erratic/irregular rainfall 4 6 Hail 1 7 Frost 0 8 Too much wind 2 9 Pest/diseases 119 10 Fire 5 12 Crop theft 6 13 Unable to work on the field due to sickness 4 14 No available labor 3 -999999999 missing 0 Sysmiss 35581 Quantity harvested of [PERMANENT CROP] on this [AGRICULTURAL LAND] 591 35240 0 2000 33.088 162.085 -999999999 missing UNIT of production for [PERMANENT CROP] for this [AGRICULTURAL LAND] 566 35265 3 62 1 90kg bag 0 2 50kg bag 0 3 25kg bag 1 4 10kg bag 0 5 20lt tin 0 6 90kg bag unshelled 0 7 50kg bag unshelled 0 8 25kg bag unshelled 0 9 20lt tin unshelled 0 10 5lt gallon 0 11 Meda 1 13 ka B.P 0 14 Tonnes 3 15 Kg 1 16 10kg bag unshelled 0 17 Number 4 18 Boxes 0 19 Bunches or bundles or heaps 8 20 Crates 1 21 Cup 0 22 Packet 0 23 ka Dish 0 24 12 kg pocket 0 25 20 kg bag 0 26 Meda unshelled 0 27 Ka B.P unshelled 0 51 Cassava Raw: 90kg bag 76 52 Cassava Raw: 50kg bag 395 53 Cassava Raw: 25kg bag 40 54 Cassava Raw: 10kg bag 6 55 Cassava Raw: 20lt tin 6 56 Cassava Raw: 5lt gallon 3 57 Cassava Raw: Meda 4 58 Cassava Raw: Bunches 3 59 Cassava Raw: Muchumbu 0 60 Cassava Raw: Crates 0 61 Cassava Raw: Tonnes 9 62 Cassava Raw: Kg 5 99 Other (specify) 0 -999999999 missing 0 Other UNIT of production for [PERMANENT CROP] for this [AGRICULTURAL LAND] 0 0 877 34954 1 dry spell/drought 128 2 Too much rain/flood 16 3 Rain came too early 0 4 Rain came too late 2 5 Erratic/irregular rainfall 1 6 Hail 0 7 Frost 0 8 Too much wind 0 9 Pest/diseases 31 10 Fire 0 11 Crop theft 0 12 Unable to work on the field due to sickness 4 13 No available labor 4 14 Not harvest season 654 88 Other specify 37 -999999999 missing 0 Sysmiss 34954 37 0 CASSAVA NOT MATURE 2 CASSAVA NOT MATURE YET 2 CASSAVA NOT MATURED 1 CASSAVA NOT YET MATURE 1 CASSAVA NOT YET MATURED 6 CATTLE ATE THE WHOLE THE FIELD 1 CROP NOT READY FOR HARVESTING 1 CROP NOT YET MATURE 1 NOT YET MATURE 1 NOT YET MATURED 1 NOT YET READY 2 Not yet ready for harvesting 1 STILL GROWING 1 STILL IN THE FIELD 1 THE CASSAVA IS STILL GROWING 2 THE CASSAVA WAS NOT YET READ , IS BEING HAVERSTED. 1 THE PLANT IS STILL GROWING 1 THIS IS WHEN THEY HAVE STARTED HARVESTING 1 The CASSAVA was harvested in January 2025 1 The FIELD RESERVED FOR THIS YEAR'S HARVEST SEASON 1 1 not mature yet 1 not ready for harvest 1 1 plants still growing 1 1 still in the field 2 35831 0 6 Version 6 10446 7 Version 7 25385 Conversion factor to area in hectares 32856 2975 0.0001 1 0.622 0.355 Type of crop 35831 0 1 Temporary 32772 2 Vegetables 112 3 Permanent 2947 Number of harvest months for temporary crops 20794 15037 0 311 1 17902 2 2354 3 162 4 26 5 5 6 1 7 1 8 1 9 1 10 4 11 25 12 1 Sysmiss 15037 Conversion factor to quantity in kg 20792 15039 0.5 1000 49.255 29.618 Conversion factor to area in hectares 20793 15038 0.0001 1 0.51 0.336 Area Planted in HA 32881 2950 0 69 0.981 1.251 Area Harvested of temporary crops in HA 32790 3041 0 34.5 0.43 0.818 Harvest production from temporary crops in KG 32743 3088 0 46000 484.965 1327.781 Harvest production from temporary crops in TONES 32743 3088 0 46 0.485 1.328 Yield from temporary crops in TONES per HA 32743 3088 0 78.228 0.633 1.251 Yield from temporary crops in KG per HA 32743 3088 0 78228.465 632.663 1251.281 Vegetable Area Planted in HA 112 35719 0.0012 25 0.915 2.531 Vegetable Area Harvested in HA 112 35719 0.0012 8 0.624 1.047 Number of harvest months for vegetable crops 35831 0 0 35723 1 86 2 18 3 2 5 2 average number days of harvest of vegetable crops 112 35719 1 27 2 16 3 19 3.5 1 4 23 5 10 6 4 7 5 10 3 12 1 15 1 18 1 21 1 Sysmiss 35719 Harvest per day from vegetable crops in KG 112 35719 1.11 10664 805.799 1762.324 Total production from vegetable crops in KG 35831 0 0 99540 11.015 670.108 Yield from vegetable crops in KG per HA 35831 0 0 14999250 453.335 79263.38 Number of harvest months for permanent crops 35831 0 0 35258 1 352 2 101 3 42 4 32 5 15 6 10 7 6 8 5 9 1 11 2 12 7 Total Permanent Crops Production in KG 591 35240 0 807000 4881.188 53235.57 Province Name 35831 0 1 CENTRAL 6769 2 COPPERBELT 2223 3 EASTERN 7032 4 LUAPULA 2184 5 LUSAKA 1333 6 MUCHINGA 2706 7 NORTHERN 4283 8 NORTH WESTERN 2420 9 SOUTHERN 3660 10 WESTERN 3221 -999999999 missing 0 District Name 35831 0 CHADIZA 321 CHAMA 450 CHASEFU 430 CHAVUMA 124 CHEMBE 85 CHIBOMBO 1014 CHIENGE 203 CHIFUNABULI 190 CHIKANKATA 123 CHILANGA 303 CHILILABOMBWE 170 CHILUBI 89 CHINGOLA 125 CHINSALI 326 CHIPANGA 554 CHIPATA 395 CHIPILI 182 CHIRUNDU 149 CHISAMBA 748 CHITAMBO 217 CHOMA 286 CHONGWE 500 GWEMBE 78 IKELENGE 82 ISOKA 274 ITEZHI TEZHI 227 KABOMPO 214 KABWE 195 KAFUE 233 KALABO 249 KALOMO 357 KALULUSH 162 KALUMBILA 453 KANCHIBIYA 474 KAOMA 231 KAPIRI MPOSHI 1483 KAPUTA 255 KASAMA 753 KASEMPA 210 KASENENGWA 606 KATETE 665 KAWAMBWA 379 KAZUNGULA 457 KITWE 335 LAVUSHIMANDA 232 LIMULINGA 131 LIVINGSTONE 93 LUAMPA 166 LUANGWA 33 LUANO 446 LUANSHYA 257 LUFWANYAMA 335 LUKULU 265 LUMEZI 395 LUNDAZI 268 LUNGA 48 LUNTE 348 LUPOSOSHI 115 LUSAKA 191 LUSANGAZI 441 LUWINGU 310 MAFINGA 438 MAMBWE 415 MANSA 304 MANYINGA 142 MASAITI 275 MAZABUKA 217 MBALA 596 MILENGE 124 MITETE 147 MKUSHI 694 MONGU 376 MONZE 733 MPIKA 324 MPONGWE 244 MPOROKOSO 262 MPULUNGU 333 MUFULIRA 159 MUFUMBWE 308 MULOBEZI 157 MUMBWA 1090 MUNGWI 859 MUSHINDAMO 77 MWANDI 70 MWANSABOMBWE 133 MWENSE 161 MWINILUNGA 372 NAKONDE 337 NALOLO 238 NAMWALA 228 NCHELENGE 274 NDOLA 161 NGABWE 183 NKEYEMA 251 NSAMA 61 NYIMBA 529 PEMBA 288 PETAUKE 607 RUFUNSA 73 SAMFYA 101 SENANGA 234 SENGA HILL 302 SERENJE 423 SESHEKE 43 SHANG'OMBO 297 SHIBUYUNJI 276 SHIWANG'ANDU 301 SIAVONGA 60 SIKONGO 128 SINAZONGWE 181 SINDA 735 SIOMA 238 SOLWEZI 164 VUBWI 221 ZAMBEZI 274 ZIMBA 183 RESPONSE STATUS 35831 0 1 Interview Consented 35831 2 Refusal 0 3 Non-contact 0 4 No competent person found 0 -999999999 missing 0 14. Did you or any member of household grow any crops between 1st October 2023 a 35831 0 1 Yes 35831 2 No 0 -999999999 missing 0 Did you or any member of household raise any Livestock between 1st October 2 35831 0 1 Yes 25415 2 No 10416 -999999999 missing 0 Did you or any member of household engage in Honeyproduction between 1st Oct 35831 0 1 Yes 1210 2 No 34621 -999999999 missing 0 During the past 12 months have you or any member of your holding collected a 35831 0 1 YES 27459 2 No 8372 -999999999 missing 0 Survey scope 35831 0 0 Agricultural holding - non-response 0 1 Agricultural holding - response 35831 2 Only forestry - response 0 3 No activity - response 0 Farm size for weight adjustment 35831 0 1 large-scale farm 21 2 small and medium scale farm 35810 Sampling weight 35831 0 1 702.762 108.774 68.221 TOTAL quantity of seeds of temporary crops planted in the 2023/2024 agricultural season in KG 32375 3456 0 5225 33.658 86.104 -999999999 missing TOTAL quantity of seeds of temporary crops planted in the 2023/2024 agricultural season in TONES 32375 3456 0 5.225 0.0337 0.0861 Seed rate for temporary crops in TONES per HA 32363 3468 0 2.299 0.0513 0.165 Seed rate for temporary crops in KG per HA 32352 3479 0 2299 51.288 165.274 TOTAL quantity of seedlings of permanent crops planted in the 2023/2024 agricultural season 2077 33754 0.75 5000000 6945.601 122641.977 -999999999 missing 2077 33754 1 Number of seedlings 183 2 1894 77 30cm Cassava Cutting 0 -999999999 missing 0 Sysmiss 33754 Province Name 11 0 1 CENTRAL 1 2 COPPERBELT 1 3 EASTERN 1 4 LUAPULA 1 5 LUSAKA 1 6 MUCHINGA 1 7 NORTHERN 1 8 NORTH WESTERN 1 9 SOUTHERN 1 10 WESTERN 1 11 ZAMBIA 1 -999999999 missing 0 Id in ROSTER_LIVESTOCK 11 0 1 Cattle 11 2 Goats 0 3 Sheep 0 4 Pigs 0 5 Donkeys 0 6 Rabbits 0 7 Village Chickens 0 8 Broilers Chickens 0 9 Layers Chickens 0 10 Exotic Chickens 0 11 Ducks 0 12 Turkeys 0 13 Guinea fowls 0 14 Pigeons 0 15 Quails 0 88 Other specify 0 -999999999 missing 0 11 0 219.379 3847332.001 699514.909 1158083.906 11 0 70.46 415244.757 75499.047 122312.236 11 0 1 333055.417 60555.53 101941.121 11 0 0.456 11.792 6.717 3.624 11 0 142.919 1519530.866 276278.339 457484.947 11 0 2 361142.217 65662.221 112886.624 11 0 1.399 28.821 18.916 7.453 9 2 52.449 26216.762 5825.947 8698.372 9 2 0.586 9.869 5.066 2.912 Interview key (identifier in XX-XX-XX-XX format) 20125 0 Unique 32-character long identifier of the interview 20125 0 Id in Demog 20125 0 1 9 1.018 0.231 -999999999 missing Sex 20125 0 1 Male 14329 2 Female 5796 -999999999 missing 0 20125 0 1915 2013 1979.81 14.526 -999999999 missing What is the Head of Household [NAME]'s present marital status? 20125 0 1 Never Married 1198 2 Married 14786 3 Divorced 1253 4 Separated 677 5 Widowed 2211 -999999999 missing 0 Has [NAME] ever attended school? 20125 0 1 Yes 17579 2 No 2546 -999999999 missing 0 What is the highest level of education [NAME] completed? 20125 0 1 Early Childhood Education (ECE) 9 2 Sub-standard A,B Grade 1 175 3 Standard 1 Grade 2 512 4 Standard 2 Grade 3 656 5 Standard 3 Grade 4 963 6 Standard 4 Grade 5 1205 7 Standard 5 Grade 6 1380 8 Standard 6 Grade 7 3955 9 Form 1 Grade 8 1284 10 Form 2 Grade 9 2898 11 Form 3 Grade 10 706 12 Form 4 Grade 11 420 13 Form 5 Grade 12 2184 14 Form 6 Lower 4 15 Form 6 Upper 17 16 College Student 113 17 University Undergraduate Student 247 18 Tertiary Certificate 251 19 Tertiary Diploma 437 20 Bachelors Degree 25 21 Masters Degree and Above 9 77 None 2675 -999999999 missing 0 Has [NAME] ever received any training on agriculture? 20125 0 1 Yes, Formal Agricultural Education (e.g., university, monote 217 2 Yes, Vocational Training (e.g., short training courses by NG 1074 3 Informal Training 3905 4 No 14929 -999999999 missing 0 D08. What is the total number of usual household members in this household ? 20125 0 1 52 5.786 2.769 -999999999 missing D09. How many usual members of this household are MALE adults 15 years or older? 20125 0 0 18 1.681 1.213 -999999999 missing 20125 0 0 20 1.745 1.14 -999999999 missing D11. How many members of this household are MALE children under 15 years old ? 20125 0 0 11 1.186 1.14 -999999999 missing D12. How many members of this household are FEMALE children under 15 years old? 20125 0 0 20 1.174 1.186 -999999999 missing D13. Household member with agricultural education or training 20125 0 1 Yes 1756 2 No 18369 -999999999 missing 0 D14. Agricultural education/training received by household members:Yes, University Training(e.g.,University,Monotechnic Agricultural School,Other Technical Schools) 1756 18369 0 No 1661 1 Yes 95 Sysmiss 18369 D14. Agricultural education/training received by household members:Yes, Vocational Training (e.g., Short Training courses by NGOs or other associations/groups) 1756 18369 0 No 1364 1 Yes 392 Sysmiss 18369 D14. Agricultural education/training received by household members:Informal Training (Workshops & Semnars) 1756 18369 0 No 457 1 Yes 1299 Sysmiss 18369 Province Name 20125 0 1 CENTRAL 3717 2 COPPERBELT 1718 3 EASTERN 3588 4 LUAPULA 1029 5 LUSAKA 1020 6 MUCHINGA 1756 7 NORTHERN 1939 8 NORTH WESTERN 1378 9 SOUTHERN 2132 10 WESTERN 1848 -999999999 missing 0 District Name 20125 0 CHADIZA 153 CHAMA 182 CHASEFU 215 CHAVUMA 84 CHEMBE 28 CHIBOMBO 618 CHIENGE 112 CHIFUNAB 98 CHIKANKA 70 CHILANGA 223 CHILILAB 126 CHILUBI 56 CHINGOLA 98 CHINSALI 265 CHIPANGA 293 CHIPATA 230 CHIPILI 54 CHIRUNDU 95 CHISAMBA 435 CHITAMBO 99 CHOMA 220 CHONGWE 374 GWEMBE 54 IKELENGE 41 ISOKA 210 ITEZHI T 163 KABOMPO 126 KABWE 165 KAFUE 173 KALABO 144 KALOMO 241 KALULUSH 124 KALUMBIL 224 KANCHIBI 250 KANCHIBIYA 14 KAOMA 141 KAPIRI M 736 KAPUTA 165 KASAMA 317 KASEMPA 127 KASENENG 253 KATETE 306 KAWAMBWA 139 KAZUNGUL 204 KITWE 254 LAVUSHIM 84 LAVUSHIMANDA 14 LIMULUNG 83 LIVINGST 67 LUAMPA 123 LUANGWA 28 LUANO 233 LUANSHYA 208 LUFWANYA 272 LUFWANYAMA 13 LUKULU 128 LUMEZI 227 LUNDAZI 230 LUNGA 28 LUNTE 140 LUPOSOSH 55 LUSAKA 166 LUSANGAZ 223 LUWINGU 141 Lufwanyama 1 MAFINGA 293 MAMBWE 216 MANSA 139 MANYINGA 103 MASAITI 210 MAZABUKA 125 MBALA 267 MILENGE 56 MITETE 84 MKUSHI 390 MONGU 225 MONZE 325 MPIKA 238 MPONGWE 167 MPOROKOS 112 MPULUNGU 157 MUFULIRA 112 MUFUMBWE 168 MULOBEZI 84 MUMBWA 541 MUNGWI 348 MUSHINDA 55 MWANDI 42 MWANSABO 70 MWENSE 95 MWINILUN 171 NAKONDE 221 NALOLO 139 NAMWALA 154 NCHELENG 154 NDOLA 133 NGABWE 114 NKEYEMA 140 NSAMA 41 NYIMBA 251 Nakonde 14 PEMBA 127 PETAUKE 322 RUFUNSA 56 SAMFYA 56 SENANGA 122 SENGA HI 140 SERENJE 209 SESHEKE 28 SHANG'OM 169 SHIBUYUN 177 SHIWANG' 125 SHIWANG'ANDU 28 SIAVONGA 52 SIKONGO 70 SINAZONG 125 SINDA 375 SIOMA 126 SOLWEZI 125 VUBWI 112 ZAMBEZI 154 ZIMBA 110 14. Did you or any member of household grow any crops between 1st October 2023 a 20125 0 1 Yes 19921 2 No 204 -999999999 missing 0 Did you or any member of household raise any Livestock between 1st October 2 20125 0 1 Yes 13142 2 No 6983 -999999999 missing 0 Did you or any member of household engage in Honeyproduction between 1st Oct 20125 0 1 Yes 599 2 No 19526 -999999999 missing 0 During the past 12 months have you or any member of your holding collected a 20125 0 1 YES 14334 2 No 5791 -999999999 missing 0 Legal status of the farm 20125 0 1 One household (respondent household) 19865 2 Two or more households (partnership or association) 260 260 19865 2 114 3 48 4 32 5 20 6 30 7 7 9 9 Sysmiss 19865 Survey scope 20125 0 0 Agricultural holding - non-response 0 1 Agricultural holding - response 20125 2 Only forestry - response 0 3 No activity - response 0 Farm size for weight adjustment 20125 0 1 large-scale farm 9 2 small and medium scale farm 20116 20125 0 1 702.762 107.934 71.113 20125 0 0 177 1 19948 Interview key (identifier in XX-XX-XX-XX format) 27730 0 Unique 32-character long identifier of the interview 27730 0 Id in FORESTRYP 27730 0 1 Firewood 13367 2 Charcoal 2156 3 Other woods 507 4 Mushrooms 5409 5 Honey 468 6 Wild fruits 2676 7 Medicinal plants 1149 8 Mopani worms \ Caterpillars 833 9 Edible insects 307 10 Wild birds (pheasant, bats, quail, etc) 145 11 Wild game 50 12 Sand 333 13 Rocks, stone, mud 330 14 Grass 0 88 Other, specify 0 During the last 12 months did your household collect/produce [PRODUCT]? 27730 0 1 YES 26783 2 NO 947 During the last 12 months, how many months did your household collect/produce [P 26783 947 1 4269 2 4493 3 3293 4 1362 5 1051 6 1312 7 286 8 717 9 386 10 634 11 252 12 8728 Sysmiss 947 Number of fays per month of collection/production 26782 948 1 31 8.203 7.763 Quantity collected/produced per day 26783 947 0 240960 33.418 1619.439 Unit of collected/produced quantity 26814 916 1 KG 754 2 NUMBER 2114 3 LITRES 585 4 Head load bundle 8100 5 Small plate (Kambale, Akabale, Kakeke, Katiba) 1297 6 ka BP 375 7 Meda 2594 8 5Ltr Galon 889 9 Kaselo 339 10 Lubango 705 11 Heap(Handful) 588 12 25Kg Bag 510 13 50Kg Bag 1225 14 90Kg Bag 96 15 Ox-cart Load 2371 16 1m3 (5logs of 36cm diameter x2 long) 121 17 500g bottle 29 18 2.5Ltr container 70 19 5Ltr container 120 20 20Ltr container 263 21 20Ltr Bucket 1895 22 1cord-fuel wood (stack of 1m x 1m x 3m) 47 23 Bunches 1327 24 wheelburrow 400 Sysmiss 916 Conversion factor in production in kg 26814 916 0.000376 1500 61.88 147.195 Quantity produced in kg 26783 947 0.01 51000 217.561 846.656 Quantity used per day 26642 1088 0 75000 92.525 1110.39 FP05B. Unit of production used 26424 1306 1 24 1 KG 1040 2 NUMBER 6086 3 LITRES 529 4 Head load bundle 4441 5 Small plate (Kambale, Akabale, Kakeke, Katiba) 3192 6 ka BP 1004 7 Meda 2309 8 5Ltr Galon 782 9 Kaselo 344 10 Lubango 457 11 Heap(Handful) 1605 12 25Kg Bag 168 13 50Kg Bag 276 14 90Kg Bag 13 15 Ox-cart Load 230 16 1m3 (5logs of 36cm diameter x2 long) 460 17 500g bottle 103 18 2.5Ltr container 55 19 5Ltr container 87 20 20Ltr container 83 21 20Ltr Bucket 778 22 1cord-fuel wood (stack of 1m x 1m x 3m) 225 23 Bunches 1901 24 wheelburrow 256 Sysmiss 1306 Conversion factor in use in kg 26423 1307 0.00752 2160 32.231 112.2 Quantity used in kg 26642 1088 0 35000 187.39 737.774 Did your holding sell any of the [PRODUCT] collected/produced? 26783 947 1 Yes 2206 2 No 24577 Sysmiss 947 2205 25525 0 84194 94.211 2210.975 FP07B. Unit of quantity sold 2222 25508 1 24 1 KG 103 2 NUMBER 97 3 LITRES 119 4 Head load bundle 48 5 Small plate (Kambale, Akabale, Kakeke, Katiba) 85 6 ka BP 38 7 Meda 318 8 5Ltr Galon 101 9 Kaselo 24 10 Lubango 49 11 Heap(Handful) 20 12 25Kg Bag 231 13 50Kg Bag 586 14 90Kg Bag 61 15 Ox-cart Load 41 16 1m3 (5logs of 36cm diameter x2 long) 2 17 500g bottle 4 18 2.5Ltr container 15 19 5Ltr container 16 20 20Ltr container 34 21 20Ltr Bucket 206 22 1cord-fuel wood (stack of 1m x 1m x 3m) 1 23 Bunches 17 24 wheelburrow 6 Sysmiss 25508 Conversion factor in sale in kg 2222 25508 0.0094 1500 31.657 77.23 Quantity consumed in kg 2205 25525 0 50000 365.869 1408.614 FP08. Average unit price of sale 2205 25525 0 153000 387.137 4821.285 Province Name 27730 0 1 CENTRAL 6437 2 COPPERBELT 1393 3 EASTERN 3566 4 LUAPULA 1210 5 LUSAKA 487 6 MUCHINGA 3367 7 NORTHERN 3718 8 NORTH WESTERN 2047 9 SOUTHERN 2971 10 WESTERN 2534 -999999999 missing 0 District Name 27730 0 CHADIZA 185 CHAMA 183 CHASEFU 194 CHAVUMA 76 CHEMBE 52 CHIBOMBO 739 CHIENGE 78 CHIFUNAB 110 CHIKANKA 89 CHILANGA 88 CHILILAB 27 CHILUBI 73 CHINGOLA 11 CHINSALI 389 CHIPANGA 338 CHIPATA 97 CHIPILI 186 CHIRUNDU 85 CHISAMBA 773 CHITAMBO 375 CHOMA 254 CHONGWE 243 GWEMBE 70 IKELENGE 98 ISOKA 185 ITEZHI T 91 KABOMPO 182 KABWE 123 KAFUE 45 KALABO 165 KALOMO 368 KALULUSH 52 KALUMBIL 281 KANCHIBI 571 KANCHIBIYA 27 KAOMA 273 KAPIRI M 1256 KAPUTA 77 KASAMA 622 KASEMPA 191 KASENENG 284 KATETE 345 KAWAMBWA 313 KAZUNGUL 441 KITWE 103 LAVUSHIM 234 LAVUSHIMANDA 28 LIMULUNG 66 LIVINGST 63 LUAMPA 229 LUANGWA 29 LUANO 491 LUANSHYA 158 LUFWANYA 323 LUFWANYAMA 19 LUKULU 254 LUMEZI 222 LUNDAZI 135 LUNGA 17 LUNTE 357 LUPOSOSH 169 LUSAKA 28 LUSANGAZ 300 LUWINGU 317 Lufwanyama 1 MAFINGA 626 MAMBWE 121 MANSA 146 MANYINGA 117 MASAITI 392 MAZABUKA 143 MBALA 479 MILENGE 98 MITETE 121 MKUSHI 692 MONGU 225 MONZE 515 MPIKA 591 MPONGWE 234 MPOROKOS 203 MPULUNGU 299 MUFULIRA 18 MUFUMBWE 286 MULOBEZI 98 MUMBWA 1019 MUNGWI 797 MUSHINDA 55 MWANDI 52 MWANSABO 39 MWENSE 19 MWINILUN 509 NAKONDE 277 NALOLO 162 NAMWALA 149 NCHELENG 84 NDOLA 55 NGABWE 156 NKEYEMA 205 NSAMA 22 NYIMBA 431 Nakonde 25 PEMBA 251 PETAUKE 247 RUFUNSA 54 SAMFYA 68 SENANGA 166 SENGA HI 303 SERENJE 610 SESHEKE 17 SHANG'OM 241 SHIBUYUN 203 SHIWANG' 323 SHIWANG'ANDU 91 SIAVONGA 61 SIKONGO 75 SINAZONG 167 SINDA 409 SIOMA 185 SOLWEZI 70 VUBWI 75 ZAMBEZI 182 ZIMBA 224 RESPONSE STATUS 27730 0 1 Interview Consented 27730 2 Refusal 0 3 Non-contact 0 4 No competent person found 0 -999999999 missing 0 14. Did you or any member of household grow any crops between 1st October 2023 a 27730 0 1 Yes 27409 2 No 321 -999999999 missing 0 Did you or any member of household raise any Livestock between 1st October 2 27730 0 1 Yes 20756 2 No 6974 -999999999 missing 0 Did you or any member of household engage in Honeyproduction between 1st Oct 27729 1 1 Yes 1180 2 No 26549 -999999999 missing 1 During the past 12 months have you or any member of your holding collected a 27730 0 1 YES 27730 2 No 0 -999999999 missing 0 Final weight 27730 0 8.946 700.04 106.01 66.917 Interview key (identifier in XX-XX-XX-XX format) 27019 0 Unique 32-character long identifier of the interview 27019 0 Id in LABOR_TYP 27019 0 1 Household members incl hh head 12 yeas old or more 18669 2 Household members under 12 yeas old 1759 3 Free or exchange labour force 1279 4 Hired pemanent workers for one season or more 368 5 Hired temporary workers for a season or less 1932 6 Hired casual workers on daily basis 3012 25146 1873 1 25146 Sysmiss 1873 Did [WORKER CATEGORY] work on the farm on livestock raising and livestock production in the last 12 months? 24004 3015 1 24004 Sysmiss 3015 How many of the [WORKER CATEGORY] that worked on crop or livestock activities in the last 12 months were male? 27019 0 0 72 2.67 2.322 How many of the [WORKER CATEGORY] that worked on crop or livestock activities in the last 12 months were female? 27019 0 0 120 2.406 2.481 Did [WORKER CATEGORY] collect/ produce forestry products for the household in the last 12 months? 17471 9548 1 Yes 17471 2 No 0 -999999999 missing 0 Sysmiss 9548 27019 0 1 Yes 4736 2 No 22283 -999999999 missing 0 In which other activities on the farm was [WORKER CATEGORY] involved:Aquaculture 4736 22283 0 No 4458 1 Yes 278 Sysmiss 22283 In which other activities on the farm was [WORKER CATEGORY] involved:Processing of own agricultural products 4736 22283 0 No 1746 1 Yes 2990 Sysmiss 22283 In which other activities on the farm was [WORKER CATEGORY] involved:Agricultural services to other farms 4736 22283 0 No 3068 1 Yes 1668 Sysmiss 22283 In which other activities on the farm was [WORKER CATEGORY] involved:Crafts 4736 22283 0 No 4115 1 Yes 621 Sysmiss 22283 In which other activities on the farm was [WORKER CATEGORY] involved:Other activites 4736 22283 0 No 4515 1 Yes 221 Sysmiss 22283 LB05-OTHER. Othe activites specified:0 221 0 AGRIC BUSINESS 1 ARMY 1 BIULDING 1 BURNING CHARCOAL AT TIMES 1 BUSH CLEARING 1 BUSH VLEARING 1 BUSINESS 2 BUSINESS LADY 1 BUSINESS MAN 1 BUYING AND SELLING FRESH FISH 1 CAMFED AND VOLUNTEERING AT THE CLINIC 1 CHARCOAL 1 CHARCOAL BURNING 9 CHARCOAL MAKING 1 CHARCOAL MAKING, MUSHROOM HARVEST, COOKING 1 1 CLEARING UP OF THE LAND 1 1 CONSTRUCTION OF A KITCHEN AND A MAIZE BARN 1 CONSTRUCTION OF A TOILET 1 CONSTRUCTION OF SHELTERS 1 COOKING 1 COOKING ,WASHING, MUSHROOM HARVEST, 1 COOKING FORB 1 COOKING, MUSHROOM HARVEST, WASHING 1 1 COOKING, WASHING, CLEANING ROADS 1 COOKING, WASHING, CLEANING, LEASURE 1 COOKING, WASHING, SWEEPING, CLEANING THE SURROUNDING. 1 CRAFT WORK, MUSHROOM HARVEST 1 CRUSHING AND SELLING STONES 2 CULTIVATING AND WEEDING 1 CUTTING TREES IN THE AREA 1 DIGGING TOILETS 1 DOING WEEDING ON THERE FARM 1 DRAWING DOMESTIC WATER 9 DRAWING OF DOMESTIC WATER 1 DRAWING WATER AND SLASHING 1 DRIVER 1 DRIVING 1 FARM CLEARING AND WEEDING 1 FEEDING CHICKENS AND GUARDING THE FIEDS DURING DAY TIME 1 FENCING POLES 1 FETCHING WATER 1 FETCHING WATER GARDENING 1 FIELD EXPANSION 1 FIELD WOOD,MUSHROOMS, HANDLES FOR HOES AND AXE 1 FIRE WOOD, MASHROOM, WILD FRUIT 1 FISH TRADING 1 FISHING 4 FISHING, 2 FORMAL WORK 1 GARDEN 3 GARDENING 23 1 GARDENING AND MAKING SCONES 1 GARDENING, FIELD CLEANING WASHING COOKING 1 GOING TO PROCESS MAIZE AT THE CHIGAYO 1 GOLD MINING 3 GROCERY SALES 1 HAMMER MEAL 1 HEADING CATTLE 1 HEADNG CATTLE,FETCHING WATER 1 HONEY PROCESSING 2 HOSPITALITY(ATTENDANT) 1 HUNTING 1 LEASURE, DRYING MUSHROOMS, ROOFING 1 1 LOOKING AFTER ANIMALS AND HURTING 1 LOOKING AFTER OXENS 1 MAKING CHARCOAL 1 MAKING HOE HANDLES, MUSHROOM HARVEST 1 MAKING LEEDS MATS 1 MAKING POLES FOR AXES 1 MEDICINAL PRACTICES-HEALER 1 MINING 5 MINING GOLD 1 MINING, FISHING, COOKING, WASHING, 1 MOTORBIKE HIRING 1 MUSHROOMS HARVEST, 1 OTHER FARM ENGAGEMENTS 1 1 OWNSVA SHOP 1 PEACE WORKS 1 PIECE WORKS 1 PLAINTING 1 PLATING,WINDING AND APPLYING FERTILISER IS DONE BY THE FAMILY 1 PLOUGHING 1 PLOUGHING AND WEEDING 1 POUCHING 1 PRODUCING CHARCOAL 1 RUNNING A MAIZE PROCESSING BUSINESS 1 SALINGER OF PRODUCTS 1 SECURITY OFFICER 1 SEEDLINGS 1 1 1 1 SELLING AT THE MARKET 2 SELLING AT THE SHOP. 1 SELLING CHARCOAL 1 SELLING CHICKENS FOR OTHERS PEOPLE 1 SELLING GROCERIES 1 SELLING GROCERIES ( GROCERY SHOP) 1 SELLING MUSHROOMS 1 SELLING OF FARM PRODUCE LIKE TOMATOES 1 SELLING OF FRITTETS 1 SELLING OF GOODS 1 SELLING OF TOMATOES 1 SELLING OF TRADITIONAL BASKETS 1 SELLING TOMATOES 1 SELLING TRADITIONAL MATS 1 SELLING VEGETABLES 1 SHOP 1 SHOP OWNER 1 SLASHING 1 STAMPING AND BUSH CLEARING 1 STREET VENDING 1 1 TAILORING 1 TAKING CARE OF ANIMALS 1 TEACHER 5 TELLERING 1 THAT THATCHING GRASSES 1 THATCHING GRASSES 1 THATCHING THE KITCHEN 1 TRANSPORTATION 2 TRANSPORTING MAIZE 1 UKUCHEMA INGOMBE 1 UKUSEKWILA(WINDING). N 1 VEGETABLES GARDENING 1 VEGETABLES POLES EG TOMATOES POLES 1 WASHING, CLEANING, COOKING 1 WASHING, CLEANING, COOKING, SELLING IN THE MARKET 1 WASHING, DRAWING WATER, WASHING, SWEEPING 1 WASHING, SWEEPING, COOKING 1 WASHING, SWEEPING, COOKING, MUSHROOM HARVEST, WILD FRUIT HARVEST 1 WEDDING AND PLATING 2 WEDDING AND PLATING IS BEING DONE BY THE HOUSEHOLD. 1 WEDDING AND PLATING. 1 WEEDING 9 WEEDING AND FERTILIZATION APPLICATION 1 WEEDING AND FIELD EDGE CLEANING 1 WEEDING THE FIELD 1 WELLING TOMATOES 1 WINDING 1 WINDING AND PLATING 1 WINDING AND PLATING IS DONE BY THE FAMILY 1 WOOD, MUSHROOM AND FRUITS GATHERING 1 WORK AT MILL MEAL COMPANY 1 WORKING AS A MAID 1 WORKING FOR OTHER FARMS 1 WORKING ON THE FARM FOR OTHER PEOPLE 1 LB05-OTHER. Othe activites specified:0 0 0 27019 0 1 27019 Province Name 27019 0 1 CENTRAL 5345 2 COPPERBELT 2527 3 EASTERN 4203 4 LUAPULA 1471 5 LUSAKA 1320 6 MUCHINGA 2335 7 NORTHERN 2672 8 NORTH WESTERN 1999 9 SOUTHERN 2882 10 WESTERN 2265 District Name 27019 0 CHADIZA 170 CHAMA 210 CHASEFU 229 CHAVUMA 106 CHEMBE 41 CHIBOMBO 836 CHIENGE 154 CHIFUNAB 126 CHIKANKA 99 CHILANGA 310 CHILILAB 201 CHILUBI 64 CHINGOLA 155 CHINSALI 371 CHIPANGA 364 CHIPATA 275 CHIPILI 91 CHIRUNDU 112 CHISAMBA 633 CHITAMBO 143 CHOMA 242 CHONGWE 471 GWEMBE 73 IKELENGE 65 ISOKA 308 ITEZHI T 193 KABOMPO 180 KABWE 264 KAFUE 227 KALABO 168 KALOMO 254 KALULUSH 180 KALUMBIL 341 KANCHIBI 305 KANCHIBIYA 19 KAOMA 159 KAPIRI M 1073 KAPUTA 212 KASAMA 422 KASEMPA 225 KASENENG 300 KATETE 363 KAWAMBWA 247 KAZUNGUL 290 KITWE 373 LAVUSHIM 99 LAVUSHIMANDA 14 LIMULUNG 87 LIVINGST 93 LUAMPA 136 LUANGWA 29 LUANO 310 LUANSHYA 285 LUFWANYA 399 LUKULU 159 LUMEZI 260 LUNDAZI 260 LUNGA 34 LUNTE 197 LUPOSOSH 77 LUSAKA 220 LUSANGAZ 255 LUWINGU 194 Lufwanyama 1 MAFINGA 362 MAMBWE 253 MANSA 205 MANYINGA 129 MASAITI 318 MAZABUKA 211 MBALA 403 MILENGE 70 MITETE 99 MKUSHI 618 MONGU 273 MONZE 538 MPIKA 333 MPONGWE 221 MPOROKOS 144 MPULUNGU 216 MUFULIRA 192 MUFUMBWE 231 MULOBEZI 142 MUMBWA 789 MUNGWI 507 MUSHINDA 78 MWANDI 73 MWANSABO 101 MWENSE 120 MWINILUN 258 NAKONDE 301 NALOLO 166 NAMWALA 206 NCHELENG 204 NDOLA 202 NGABWE 156 NKEYEMA 169 NSAMA 52 NYIMBA 293 Nakonde 15 PEMBA 186 PETAUKE 353 RUFUNSA 63 SAMFYA 78 SENANGA 155 SENGA HI 184 SERENJE 317 SESHEKE 42 SHANG'OM 195 SHIBUYUN 206 SHIWANG' 173 SHIWANG'ANDU 35 SIAVONGA 65 SIKONGO 81 SINAZONG 156 SINDA 480 SIOMA 161 SOLWEZI 195 VUBWI 138 ZAMBEZI 191 ZIMBA 164 RESPONSE STATUS 27019 0 1 Interview Consented 27019 2 Refusal 0 3 Non-contact 0 4 No competent person found 0 Did you or any member of household grow any crops between 1st October 2023 and 30th September 2024? 27019 0 1 Yes 26777 2 No 242 During the last 12 months did you or any member of household raise any livestock? 27019 0 1 Yes 17160 2 No 9859 During the last 12 months did you or any member of household engage in bee keeping? 27019 0 1 Yes 798 2 No 26221 During the last 12 months have you or any member of your household collected any forest products (Wild fruits, honey, wood, mushrooms, medicinal plants, from grasslands, fallows, etc.)? 27019 0 1 YES 19128 2 No 7891 Survey scope 27019 0 0 Agricultural holding - non-response 0 1 Agricultural holding - response 27019 2 Only forestry - response 0 3 No activity - response 0 Farm size for weight adjustment 27019 0 1 large-scale farm 18 2 small and medium scale farm 27001 27019 0 1 702.762 107.627 70.671 Province Name 31 0 1 CENTRAL 3 2 COPPERBELT 3 3 EASTERN 3 4 LUAPULA 2 5 LUSAKA 3 6 MUCHINGA 3 7 NORTHERN 2 8 NORTH WESTERN 3 9 SOUTHERN 3 10 WESTERN 3 11 ZAMBIA 3 31 0 1 Small and medium scale farm 11 2 Large-scale farm 9 3 Establishment 11 29 2 3 397971.584 30887.688 83179.869 29 2 100 137591606.569 10439109.941 27447383.783 Interview key (identifier in XX-XX-XX-XX format) 21159 0 Province Name 21159 0 1 CENTRAL 4137 2 COPPERBELT 1757 3 EASTERN 3622 4 LUAPULA 1029 5 LUSAKA 1087 6 MUCHINGA 1769 7 NORTHERN 1930 8 NORTH WESTERN 1382 9 SOUTHERN 2466 10 WESTERN 1980 MP01. Did the household produce any cow milk in the past 12 months? 12490 8669 1 YES 1087 2 NO 11403 Sysmiss 8669 MP01a. How many milking cows did you have in the past 12 months ? 1087 20072 1 120 4.968 7.981 Number of months with milk production in the past 12 months 1087 20072 1 12 5.339 2.387 1 26 2 44 3 171 4 161 5 253 6 209 7 63 8 54 9 30 10 18 11 5 12 53 Sysmiss 20072 In how many months was the milk production typically high? 1087 20072 0 7 2.254 1.155 0 33 1 223 2 471 3 225 4 86 5 31 6 15 7 3 Sysmiss 20072 For how many months was the milk production typically moderate? 1087 20072 0 10 1.91 1.266 0 74 1 334 2 489 3 95 4 45 5 16 6 26 7 4 8 2 9 1 10 1 Sysmiss 20072 MP05. In how many months was the milk production typically low? 1087 20072 0 9 1.176 1.069 0 244 1 569 2 182 3 56 4 22 5 5 6 3 7 4 9 2 Sysmiss 20072 In a typical HIGH PRODUCTION month, how many liters of milk did the household produce per day? 7587 13572 0 600 12.166 12.508 In a typical HIGH PRODUCTION month, how many liters of milk did the household consume per day? 8545 12614 0 75 0.455 2.283 In a typical HIGH PRODUCTION month, how many liters of milk did the household sell per day? 7413 13746 0 1000 30.295 135.974 What was the average unit price per liter of raw milk sold in a typical HIGH PRODUCTION month? 728 20431 0.00393 6 0.24 0.985 In a typical moderate month, how much milk did the HH produce per day? 8718 12441 0 400 0.987 5.946 In a typical moderate month, how much milk did the HH consume per day? 8545 12614 0 60 0.3 1.525 In a typical moderate month, how much raw milk did the HH sell per day? 8545 12614 0 395 0.314 4.715 What was the average unit price of the raw milk sold in a typical moderate month 725 20434 0.00131 6 0.136 0.701 In a typical low month, how much milk did the HH produce per day? 8718 12441 0 750 0.569 8.769 In a typical low month, how much milk did the HH consume per day? 8545 12614 0 500 0.235 5.484 In a typical low month, how much raw milk did the HH sell per day? 8545 12614 0 265 0.161 4.056 What was the average unit price of the raw milk sold in a typical low month? 6442 14717 5 55 13.988 9.141 914 20245 1 Head 519 2 Spouse 18 3 Male child 265 4 Female child 5 5 Other Male 39 6 Other Female 0 7 Both head and spouse 35 8 Non household male 32 9 Non household female 1 Sysmiss 20245 Who primarily decides how revenue from the sales was or will be used? 357 20802 1 Head 250 2 Spouse 32 3 Male child 12 4 Female child 0 5 Other male 5 6 Other female 0 7 Both head and spouse 58 Sysmiss 20802 Where did the household mainly sell the milk? 356 20803 1 At the homestead 140 2 Milk collection centre 54 3 within the community but not at a milk collection centre 145 4 outside the community but not at a milk collection centre 17 Sysmiss 20803 Who determines the price of sale? 356 20803 1 Buyer 74 2 Household 278 12 4 88 Other 0 Sysmiss 20803 MP21_Other. Other to specify 4 0 COMMON PRICE 1 DID NOT SELL ANY MILK 1 MARKET PRICE 1 THE OWNERS OF THE COWS 1 Annual milk production total in liters 1228 19931 0 138300 1507.524 4503.856 1228 19931 0 41.753 1.111 2.058 Average annual milk production per cow in liters 1228 19931 0 15240 405.532 751.142 Farm size for weight adjustment 21159 0 1 large-scale farm 1220 2 small and medium scale farm 19939 21159 0 1 702.762 102.463 71.612 21159 0 1 Small and medium scale farm 19948 2 Large-scale farm 1211 3 Establishment 0 1228 19931 0 54000 865.993 1930.241 8718 12441 0 60000 62.959 697.66 8718 12441 0 45000 27.405 555.546 Province Name 471 0 1 CENTRAL 51 2 COPPERBELT 53 3 EASTERN 52 4 LUAPULA 38 5 LUSAKA 51 6 MUCHINGA 52 7 NORTHERN 40 8 NORTH WESTERN 51 9 SOUTHERN 56 10 WESTERN 27 -999999999 missing 0 Id in ROSTER_LIVESTOCK 471 0 1 Cattle 28 2 Goats 27 3 Sheep 26 4 Pigs 27 5 Donkeys 7 6 Rabbits 12 7 Village Chickens 27 8 Broilers Chickens 27 9 Layers Chickens 26 10 Exotic Chickens 11 11 Ducks 20 12 Turkeys 13 13 Guinea fowls 16 14 Pigeons 12 15 Quails 6 88 Other specify 0 101 10 102 10 103 10 104 10 105 10 106 10 107 10 201 9 202 9 203 9 204 9 301 9 302 9 303 8 304 9 401 9 402 9 403 9 404 9 405 9 -999999999 missing 0 471 0 0 1884205.204 58122.703 211242.914 471 0 1 170537.228 4546.138 19553.533 471 0 1 Small and medium scale farm 129 2 Large-scale farm 56 3 Establishment 286 471 0 0 89562.889 960.566 7606.369 Interview key (identifier in XX-XX-XX-XX format) 1823 0 Province Name 1823 0 1 CENTRAL 522 2 COPPERBELT 427 3 EASTERN 300 4 LUAPULA 23 5 LUSAKA 209 6 MUCHINGA 66 7 NORTHERN 50 8 NORTH WESTERN 82 9 SOUTHERN 114 10 WESTERN 30 -999999999 missing 0 1823 0 1 566.118 102.7 69.104 1823 0 1.218 3962.829 168.941 261.567 1823 0 9.799 351661.6 2071.368 12905.936 1699 124 9.799 30998.265 665.767 1776.57 1823 0 1 1 1 0 1 1823 816 1007 1 1 1 0 1 816 Sysmiss 1007 1090 733 1 1 1 0 1 1090 Sysmiss 733 33 1790 1 1 1 0 1 33 Sysmiss 1790 19 1804 1 1 1 0 1 19 Sysmiss 1804 25 1798 1 1 1 0 1 25 Sysmiss 1798 Interview key (identifier in XX-XX-XX-XX format) 19948 0 Unique 32-character long identifier of the interview 19948 0 Province Name 19948 0 1 CENTRAL 3696 2 COPPERBELT 1708 3 EASTERN 3573 4 LUAPULA 1029 5 LUSAKA 1017 6 MUCHINGA 1755 7 NORTHERN 1930 8 NORTH WESTERN 1368 9 SOUTHERN 2032 10 WESTERN 1840 -999999999 missing 0 District Name 19948 0 CHADIZA 151 CHAMA 182 CHASEFU 210 CHAVUMA 84 CHEMBE 28 CHIBOMBO 613 CHIENGE 112 CHIFUNAB 98 CHIKANKA 70 CHILANGA 223 CHILILAB 126 CHILUBI 56 CHINGOLA 98 CHINSALI 265 CHIPANGA 292 CHIPATA 230 CHIPILI 54 CHIRUNDU 95 CHISAMBA 431 CHITAMBO 98 CHOMA 199 CHONGWE 374 GWEMBE 54 IKELENGE 41 ISOKA 209 ITEZHI T 163 KABOMPO 126 KABWE 165 KAFUE 173 KALABO 144 KALOMO 179 KALULUSH 124 KALUMBIL 224 KANCHIBI 250 KANCHIBIYA 14 KAOMA 140 KAPIRI M 732 KAPUTA 165 KASAMA 316 KASEMPA 126 KASENENG 252 KATETE 305 KAWAMBWA 139 KAZUNGUL 194 KITWE 252 LAVUSHIM 84 LAVUSHIMANDA 14 LIMULUNG 83 LIVINGST 67 LUAMPA 123 LUANGWA 28 LUANO 233 LUANSHYA 208 LUFWANYA 285 LUKULU 126 LUMEZI 224 LUNDAZI 230 LUNGA 28 LUNTE 140 LUPOSOSH 55 LUSAKA 163 LUSANGAZ 223 LUWINGU 140 Lufwanyama 1 MAFINGA 293 MAMBWE 216 MANSA 139 MANYINGA 98 MASAITI 210 MAZABUKA 125 MBALA 261 MILENGE 56 MITETE 84 MKUSHI 390 MONGU 224 MONZE 320 MPIKA 238 MPONGWE 167 MPOROKOS 112 MPULUNGU 157 MUFULIRA 112 MUFUMBWE 168 MULOBEZI 84 MUMBWA 537 MUNGWI 347 MUSHINDA 55 MWANDI 42 MWANSABO 70 MWENSE 95 MWINILUN 168 NAKONDE 221 NALOLO 139 NAMWALA 154 NCHELENG 154 NDOLA 125 NGABWE 111 NKEYEMA 140 NSAMA 41 NYIMBA 251 Nakonde 14 PEMBA 125 PETAUKE 321 RUFUNSA 56 SAMFYA 56 SENANGA 122 SENGA HI 140 SERENJE 209 SESHEKE 28 SHANG'OM 167 SHIBUYUN 177 SHIWANG' 125 SHIWANG'ANDU 28 SIAVONGA 52 SIKONGO 70 SINAZONG 125 SINDA 374 SIOMA 124 SOLWEZI 124 VUBWI 112 ZAMBEZI 154 ZIMBA 110 RESPONSE STATUS 19948 0 1 Interview Consented 19948 2 Refusal 0 3 Non-contact 0 4 No competent person found 0 -999999999 missing 0 Does the Household keep a record of transactions that you do on your farm (eg., 19948 0 1 Yes 1450 2 No 18498 -999999999 missing 0 How do you mainly keep these records? 1450 18498 1 Electronic 51 2 Manually (on paper) 1399 -999999999 missing 0 Sysmiss 18498 How do you manage records related to your farming activities (eg. Inputs, Produc 1450 18498 1 SYSTEMATICALLY 345 2 OCCASIONALLY 640 3 PARTIALLY 465 -999999999 missing 0 Sysmiss 18498 Information recorded:AREA CULTIVATED/HARVESTED 1450 18498 0 No 645 1 Yes 805 Sysmiss 18498 Information recorded:CROP PRODUCTION 1450 18498 0 No 448 1 Yes 1002 Sysmiss 18498 Information recorded:LIVESTOCK PRODUCTION 1450 18498 0 No 983 1 Yes 467 Sysmiss 18498 Information recorded:QUANTITIES SOLD 1450 18498 0 No 742 1 Yes 708 Sysmiss 18498 Information recorded:REVENUES FROM QUANTITIES SOLD 1450 18498 0 No 920 1 Yes 530 Sysmiss 18498 Information recorded:QUANTITIES OF INPUTS USED 1450 18498 0 No 701 1 Yes 749 Sysmiss 18498 Information recorded:QUANTITIES OF INPUTS PURCHASED AND THEIR COST 1450 18498 0 No 810 1 Yes 640 Sysmiss 18498 Information recorded:WORKER TIME 1450 18498 0 No 1316 1 Yes 134 Sysmiss 18498 Information recorded:PAYMENTS TO WORKERS 1450 18498 0 No 1131 1 Yes 319 Sysmiss 18498 Information recorded:OTHERS (SPEC) 1450 18498 0 No 1441 1 Yes 9 Sysmiss 18498 R02-OTHER. Other Specify 9 0 CHEMICALS APPLIED FOR STORAGE 1 COOPERATIVE 1 EQUIPMENT/ TOOLS 1 POULTRY PRODUCTION 1 PRICE FOR INPUTS ( HELPS TO DETERMINE PRIFITS AND LOSSES) 1 PROFITS AND LOSSES 1 RECEIPTS OF EXPENSES 1 We right a budget for the year coming 1 non 1 Purpose of Household production 19948 0 1 Only for own consumption without sale 8247 2 Mainly for own consumption with some sale 10269 3 Mainly for sale with some own consumption 1383 4 Only for sale without own consumption 49 -999999999 missing 0 14. Did you or any member of household grow any crops between 1st October 2023 a 19948 0 1 Yes 19747 2 No 201 -999999999 missing 0 Did you or any member of household raise any Livestock between 1st October 2 19948 0 1 Yes 13002 2 No 6946 -999999999 missing 0 Did you or any member of household engage in Honeyproduction between 1st Oct 19948 0 1 Yes 581 2 No 19367 -999999999 missing 0 During the past 12 months have you or any member of your holding collected a 19948 0 1 YES 14194 2 No 5754 -999999999 missing 0 Survey scope 19948 0 0 Agricultural holding - non-response 0 1 Agricultural holding - response 19948 2 Only forestry - response 0 3 No activity - response 0 Farm size for weight adjustment 19948 0 1 large-scale farm 9 2 small and medium scale farm 19939 19948 0 1 702.762 107.453 70.638 Interview key (identifier in XX-XX-XX-XX format) 22636 0 Unique 32-character long identifier of the interview 22636 0 Province Name 22636 0 1 CENTRAL 5462 2 COPPERBELT 1264 3 EASTERN 3853 4 LUAPULA 621 5 LUSAKA 734 6 MUCHINGA 1728 7 NORTHERN 1980 8 NORTH WESTERN 1211 9 SOUTHERN 4115 10 WESTERN 1668 -999999999 missing 0 District Name 22636 0 CHADIZA 225 CHAMA 120 CHASEFU 191 CHAVUMA 58 CHEMBE 10 CHIBOMBO 1000 CHIENGE 71 CHIFUNABULI 35 CHIKANKATA 159 CHILANGA 132 CHILILABOMBWE 47 CHILUBI 57 CHINGOLA 70 CHINSALI 248 CHIPANGALI 356 CHIPATA 172 CHIPILI 50 CHIRUNDU 121 CHISAMBA 742 CHITAMBO 101 CHOMA 413 CHONGWE 270 GWEMBE 108 IKELENGE 42 ISOKA 177 ITEZHI TEZHI 277 KABOMPO 114 KABWE 91 KAFUE 143 KALABO 154 KALOMO 402 KALULUSHI 72 KALUMBILA 186 KANCHIBIYA 315 KAOMA 134 KAPIRI MPOSHI 1027 KAPUTA 110 KASAMA 260 KASEMPA 141 KASENENGWA 248 KATETE 379 KAWAMBWA 148 KAZUNGULA 475 KITWE 100 LAVUSHIMANDA 89 LIMULINGA 62 LIVINGSTONE 68 LUAMPA 115 LUANGWA 30 LUANO 385 LUANSHYA 156 LUFWANYAMA 238 LUKULU 112 LUMEZI 144 LUNDAZI 165 LUNGA 1 LUNTE 176 LUPOSOSHI 49 LUSAKA 99 LUSANGAZI 335 LUWINGU 159 MAFINGA 336 MAMBWE 220 MANSA 61 MANYINGA 87 MASAITI 235 MAZABUKA 271 MBALA 314 MILENGE 23 MITETE 58 MKUSHI 429 MONGU 112 MONZE 699 MPIKA 182 MPONGWE 226 MPOROKOSO 130 MPULUNGU 159 MUFULIRA 34 MUFUMBWE 180 MULOBEZI 174 MUMBWA 1000 MUNGWI 340 MUSHINDAMO 36 MWANDI 84 MWANSABOMBWE 60 MWENSE 47 MWINILUNGA 160 NAKONDE 214 NALOLO 100 NAMWALA 330 NCHELENGE 97 NDOLA 86 NGABWE 209 NKEYEMA 193 NSAMA 43 NYIMBA 316 PEMBA 247 PETAUKE 377 RUFUNSA 60 SAMFYA 18 SENANGA 82 SENGA HILL 183 SERENJE 249 SESHEKE 11 SHANG'OMBO 106 SHIBUYUNJI 229 SHIWANG'ANDU 167 SIAVONGA 70 SIKONGO 67 SINAZONGWE 207 SINDA 478 SIOMA 104 SOLWEZI 87 VUBWI 127 ZAMBEZI 120 ZIMBA 268 Id in ROSTER_LIVESTOCK 22636 0 1 Cattle 4227 2 Goats 4514 3 Sheep 395 4 Pigs 1408 5 Donkeys 34 6 Rabbits 72 7 Village Chickens 10148 8 Broilers Chickens 363 9 Layers Chickens 215 10 Exotic Chickens 25 11 Ducks 590 12 Turkeys 76 13 Guinea fowls 371 14 Pigeons 193 15 Quails 5 88 Other specify 0 -999999999 missing 0 Did you or any member of household raise any [Livestock name] in the last 12 months, irrespective of who owns [Livestock name] that you are raising? 22636 0 1 YES 21366 2 NO 1270 -999999999 missing 0 How many [Livestock name] are you raising now? 22636 0 0 21000 14.112 193.155 -999999999 missing Number of cows 21598 1038 0 824.14 1.148 10.992 Number of heifers 21598 1038 0 232.984 0.336 3.523 Number of bulls 21598 1038 0 70 0.21 1.297 Number of cattle weaners 21598 1038 0 276.116 0.233 3.525 Number of oxens 21598 1038 0 142.8 0.405 2.437 Number of steers 21598 1038 0 238.43 0.172 2.923 Number of calves 21598 1038 0 314.606 0.34 4.238 Number of male goats 21598 1038 0 72 0.435 1.994 Number of female goats 21598 1038 0 307.76 0.952 5.268 Number of goat weaners 21598 1038 0 81.372 0.248 1.658 Number of kids 21598 1038 0 145.061 0.328 2.466 Number of rams 21598 1038 0 23.358 0.0338 0.502 Number of ewes 21598 1038 0 64.017 0.0713 1.195 Number of sheep weaners 21598 1038 0 30.564 0.0241 0.543 Number of lambs 21598 1038 0 50 0.0292 0.657 Number of boars 21598 1038 0 30 0.0682 0.611 Number of sows 21598 1038 0 157.923 0.101 1.374 Number of gilts 21598 1038 0 197.336 0.037 1.546 Number of pig weaners 21598 1038 0 337.184 0.0813 2.691 Number of piglets 21598 1038 0 284.452 0.0861 2.327 Farm size for weight adjustment 22636 0 1 large-scale farm 1239 2 small and medium scale farm 21397 22636 0 1 702.762 100.572 64.909 source of the data 22636 0 1 Large-scale from listing 1211 2 Small and medium data set 21425 Interview key (identifier in XX-XX-XX-XX format) 44061 0 Unique 32-character long identifier of the interview 44061 0 Province Name 44061 0 1 CENTRAL 10483 2 COPPERBELT 2479 3 EASTERN 7657 4 LUAPULA 1242 5 LUSAKA 1398 6 MUCHINGA 3442 7 NORTHERN 3960 8 NORTH WESTERN 2408 9 SOUTHERN 7796 10 WESTERN 3196 -999999999 missing 0 District Name 44061 0 CHADIZA 450 CHAMA 240 CHASEFU 375 CHAVUMA 116 CHEMBE 20 CHIBOMBO 1846 CHIENGE 142 CHIFUNABULI 70 CHIKANKATA 311 CHILANGA 243 CHILILABOMBWE 94 CHILUBI 114 CHINGOLA 133 CHINSALI 496 CHIPANGA 698 CHIPANGALI 7 CHIPATA 344 CHIPILI 100 CHIRUNDU 235 CHISAMBA 1428 CHITAMBO 202 CHOMA 812 CHONGWE 526 GWEMBE 209 IKELENGE 84 ISOKA 354 ITEZHI TEZHI 512 KABOMPO 228 KABWE 182 KAFUE 272 KALABO 245 KALOMO 776 KALULUSH 144 KALUMBILA 372 KANCHIBIYA 623 KAOMA 268 KAPIRI MPOSH 49 KAPIRI MPOSHI 1956 KAPUTA 220 KASAMA 520 KASEMPA 282 KASENENGWA 496 KATETE 751 KAWAMBWA 296 KAZUNGULA 887 KITWE 193 LAVUSHIMANDA 171 LIMULINGA 117 LIVINGSTONE 108 LUAMPA 230 LUANGWA 60 LUANO 742 LUANSHYA 305 LUFWANYAMA 469 LUKULU 210 LUMEZI 281 LUNDAZI 330 LUNGA 2 LUNTE 352 LUPOSOSHI 98 LUSAKA 177 LUSANGAZI 663 LUWINGU 318 MAFINGA 672 MAMBWE 440 MANSA 122 MANYINGA 174 MASAITI 463 MAZABUKA 514 MBALA 628 MILENGE 46 MITETE 109 MKUSHI 851 MONGU 224 MONZE 1293 MPIKA 364 MPONGWE 452 MPOROKOSO 260 MPULUNGU 318 MUFULIRA 68 MUFUMBWE 360 MULOBEZI 341 MUMBWA 1895 MUNGWI 680 MUSHINDAMO 72 MWANDI 168 MWANSABOMBWE 120 MWENSE 94 MWINILUNGA 320 NAKONDE 428 NALOLO 186 NAMWALA 576 NCHELENGE 194 NDOLA 158 NGABWE 397 NKEYEMA 386 NSAMA 86 NYIMBA 632 PEMBA 494 PETAUKE 747 RUFUNSA 120 SAMFYA 36 SENANGA 164 SENGA HILL 366 SERENJE 491 SESHEKE 22 SHANG'OMBO 191 SHIBUYUNJI 444 SHIWANG'ANDU 334 SIAVONGA 140 SIKONGO 127 SINAZONGWE 414 SINDA 956 SIOMA 208 SOLWEZI 160 VUBWI 247 ZAMBEZI 240 ZIMBA 515 Id in ROSTER_LIVESTOCK 44061 0 1 Cattle 8281 2 Goats 8855 3 Sheep 617 4 Pigs 2643 5 Donkeys 68 6 Rabbits 144 7 Village Chickens 20123 8 Broilers Chickens 553 9 Layers Chickens 257 10 Exotic Chickens 50 11 Ducks 1180 12 Turkeys 152 13 Guinea fowls 742 14 Pigeons 386 15 Quails 10 88 Other specify 0 -999999999 missing 0 Did you or any member of household raise any [Livestock name] in the last 12 months, irrespective of who owns [Livestock name] that you are raising? 44061 0 1 YES 41521 2 NO 2540 -999999999 missing 0 What was/is the main purpose of raising [LIVESTOCK GROUP] ? 40310 3751 1 Meat 17216 2 Milk 92 3 Draught power 6130 4 Eggs 370 5 Aesthetic value 900 6 Selling of live animals 15478 7 Manure 124 -999999999 missing 0 Sysmiss 3751 How many [Livestock name] are you raising now? 44061 0 0 21000 11.912 139.337 -999999999 missing 43013 1048 0 1000 0.528 7.795 -999999999 missing 10 Who did the household mainily sale to? 2801 41260 1 Abbatoirs 233 2 Market Place/Butchery 384 3 Households/Private Individuals/Businessmen 2016 4 Private Companies 149 5 Cooperatives 9 6 Government 10 7 NGOs 0 -999999999 missing 0 Sysmiss 41260 43013 1048 0 60 0.331 1.579 -999999999 missing 10 How many [LIVESTOCK NAME] were lost due to theft in the past 12 months 43013 1048 0 50 0.104 0.865 -999999999 missing 10 How many [LIVESTOCK NAME] were lost due to (Natural events eg accidents, Drought, missing etc.) in the last 12 months? 42840 1221 0 94 0.0626 0.855 -999999999 missing 10 How many [LIVESTOCK NAME] were given away for free in the last 12 months? 42840 1221 0 25 0.0279 0.335 -999999999 missing 10 How many [LIVESTOCK NAME] did this household slaughter on the farm in the last 12 months? 42838 1223 0 208 0.123 1.538 -999999999 missing 12 2702 41359 0 208 1.757 5.822 -999999999 missing 2702 41359 0 11 0.201 0.672 -999999999 missing Farm size for weight adjustment 44061 0 1 large-scale farm 1267 2 small and medium scale farm 42794 44061 0 1 702.762 102.779 64.344 Number of cows 21598 22463 0 784.416 1.159 10.968 Number of heifers 21598 22463 0 296.52 0.332 3.796 Number of bulls 21598 22463 0 128.969 0.282 2.295 Number of cattle weaners 21598 22463 0 87.247 0.126 1.387 Number of oxens 21598 22463 0 383.29 0.585 5.385 Number of steers 21598 22463 0 82.477 0.0855 1.083 Number of calves 21598 22463 0 226.08 0.273 2.965 Number of male goats 21598 22463 0 144.72 0.487 2.731 Number of female goats 21598 22463 0 291.369 0.941 5.068 Number of goat weaners 21598 22463 0 75.356 0.244 1.597 Number of kids 21598 22463 0 88.555 0.291 1.817 Number of rams 21598 22463 0 39.843 0.0424 0.718 Number of ewes 21598 22463 0 74.41 0.0768 1.339 Number of sheep weaners 21598 22463 0 17 0.0148 0.316 Number of lambs 21598 22463 0 50 0.0244 0.552 Number of boars 21598 22463 0 237.183 0.0902 1.913 Number of sows 21598 22463 0 318.707 0.117 2.532 Number of gilts 21598 22463 0 72.472 0.0242 0.633 Number of pig weaners 21598 22463 0 168.906 0.064 1.488 Number of piglets 21598 22463 0 202.731 0.0777 1.751