{"doc_desc":{"title":"TZA_2020_ANSC_v01_M","idno":"DDI-TZA-2020-ANSC-v01-M-OCGS","producers":[{"name":"The Office of the Chief Goverment Statistician","abbreviation":"OCGS","affiliation":"Ministry of Finace and Planning","role":"Documentation of the Study"}],"prod_date":"2023-10-12","version_statement":{"version":"Version 1.0"}},"study_desc":{"title_statement":{"idno":"TZA-2020-ANSC-v01-M","title":"National Sample Census of Agriculture 2019\/2020","alt_title":"ANSC 2019\/2020"},"authoring_entity":[{"name":"The Office of The Chief Goverment Statistician","affiliation":"Ministry of Finance and Planning"}],"oth_id":[{"name":"Dr. Hussein Ali Mwinyi","affiliation":"President and  Chairman of the Revolutionary Councils\u2019 of Zanzibar.","email":"","role":"President"},{"name":"Doctor Soud Nahoda  Hassan","affiliation":"Minister of Agriculture, Irrigation, Natural Resources and Livestock","email":"","role":"The Census Technical Committee and Census  Planning team"},{"name":"Mayasa M. Mwinyi","affiliation":"Ministry of Finance and Planning","email":"","role":"The Census Technical Committee and Census  Planning team"},{"name":"Professor Adolf Faustine Mkenda (MP)","affiliation":"Ministry for Agriculture","email":"","role":"The Census Technical Committee and Census  Planning team"},{"name":"Dr. Albina Chuwa","affiliation":"Ministry of Finance","email":"","role":"The Census Technical Committee and Census  Planning team"},{"name":"Daniel Masolwa","affiliation":"","email":"","role":"Assistant Project Coordinators"},{"name":"Abdul R. Abeid","affiliation":"","email":"","role":"Assistant Project Coordinators"},{"name":"Titus Mwisomba","affiliation":"","email":"","role":"Project Managers"},{"name":"Nour Abdulwahid","affiliation":"","email":"","role":"Project Managers"},{"name":"Theresia Sagamilwa","affiliation":"","email":"","role":"Desk Officers"},{"name":"Mwalim Juma Mohamed","affiliation":"","email":"","role":"Desk Officers"},{"name":"Dr. Elizaberth Ann Talbert","affiliation":"","email":"","role":"Technical Advisors"},{"name":"Nicole Norris","affiliation":"","email":"","role":"Technical Advisors"},{"name":"David Luckenbach","affiliation":"","email":"","role":"Technical Advisors"},{"name":"Jonathan Kastelic","affiliation":"","email":"","role":"Technical Advisors"},{"name":"Genya Charles Genya","affiliation":"","email":"","role":"Technical committee chairperson"},{"name":"Ambilikile Mwakyelu","affiliation":"","email":"","role":"Technical committee members"},{"name":"Basil Msuha","affiliation":"","email":"","role":"Technical committee members"},{"name":"Da Silver Mlau","affiliation":"","email":"","role":"Technical committee members"},{"name":"Devotha Mdete","affiliation":"","email":"","role":"Technical committee members"},{"name":"Festo Mwemutsi","affiliation":"","email":"","role":"Technical committee members"},{"name":"Genya Charles Genya","affiliation":"","email":"","role":"Technical committee members"},{"name":"Jillahoma Mussa","affiliation":"","email":"","role":"Technical committee members"},{"name":"Juma Nyabenda","affiliation":"","email":"","role":"Technical committee members"},{"name":"Ludovick Materu","affiliation":"","email":"","role":"Technical committee members"},{"name":"Masoud Ali Hassan","affiliation":"","email":"","role":"Technical committee members"},{"name":"Moreen Guveti","affiliation":"","email":"","role":"Technical committee members"},{"name":"Mwalim Juma","affiliation":"","email":"","role":"Technical committee members"},{"name":"Mzee Mohamed","affiliation":"","email":"","role":"Technical committee members"},{"name":"Nico Ombeni","affiliation":"","email":"","role":"Technical committee members"},{"name":"Philemon Mwenda","affiliation":"","email":"","role":"Technical committee members"},{"name":"Rahimu Mussa","affiliation":"","email":"","role":"Technical committee members"},{"name":"Ramadhani Kalinga","affiliation":"","email":"","role":"Technical committee members"},{"name":"Samwel Kawa","affiliation":"","email":"","role":"Technical committee members"},{"name":"Theresia Sagamilwa","affiliation":"","email":"","role":"Technical committee members"},{"name":"Titus Mwisomba","affiliation":"","email":"","role":"Technical committee members"},{"name":"Sylvia Meku","affiliation":"","email":"","role":"Sample designers"},{"name":"Festo Mwemutsi","affiliation":"","email":"","role":"Sample designers"},{"name":"George Mockray","affiliation":"","email":"","role":"CAPI questionnaire designers"},{"name":"Beatrice Rwegoshora","affiliation":"","email":"","role":"CAPI questionnaire designers"},{"name":"Hashim Uzia Mohamed","affiliation":"","email":"","role":"CAPI questionnaire designers"},{"name":"Aisha Mohamed Said","affiliation":"","email":"","role":"CAPI questionnaire designers"},{"name":"Rahimu Mussa","affiliation":"","email":"","role":"Catographers"},{"name":"Noela John","affiliation":"","email":"","role":"Catographers"},{"name":"Mohamed Gharibu","affiliation":"","email":"","role":"Catographers"},{"name":"Mwalim Juma","affiliation":"","email":"","role":"Authors"},{"name":"Mzee Mohamed","affiliation":"","email":"","role":"Authors"},{"name":"Nour Abdulwahid","affiliation":"","email":"","role":"Authors"},{"name":"Ali Rashid","affiliation":"","email":"","role":"Trainers"},{"name":"Mohamed Gharibu","affiliation":"","email":"","role":"Trainers"},{"name":"Mwalim Juma Mohamed","affiliation":"","email":"","role":"Trainers"},{"name":"Rahimu Mussa","affiliation":"","email":"","role":"Trainers"},{"name":"Mzee Mohamed","affiliation":"","email":"","role":"Trainers"},{"name":"Ally Rashid","affiliation":"","email":"","role":"Field supervisors from headquarters"},{"name":"Abubakar Hamad Mussa","affiliation":"","email":"","role":"Quality assurance"},{"name":"Aisha Mohamed Said","affiliation":"","email":"","role":"Headquarters it team"},{"name":"Hashim Uzia Mohamed","affiliation":"","email":"","role":"Headquarters it team"},{"name":"Abdalla Ali Hassan","affiliation":"","email":"","role":"Listing and data collection regional supervisors"},{"name":"Abdulhamid Mfaume Ali","affiliation":"","email":"","role":"Listing and data collection regional supervisors"},{"name":"Adam Ramadhani","affiliation":"","email":"","role":"Listing and data collection regional supervisors"},{"name":"Juma Shabani","affiliation":"","email":"","role":"Listing and data collection regional supervisors"},{"name":"Masoud Hassan Ali","affiliation":"","email":"","role":"Listing and data collection regional supervisors"},{"name":"Mwanaisha Juma Haji","affiliation":"","email":"","role":"Listing and data collection regional supervisors"},{"name":"Mwantumu Athuman","affiliation":"","email":"","role":"Listing and data collection regional supervisors"},{"name":"Said Mohamed Said","affiliation":"","email":"","role":"Listing and data collection regional supervisors"},{"name":"Salim Makame Salim","affiliation":"","email":"","role":"Listing and data collection regional supervisors"},{"name":"Enumerators during listing exercise","affiliation":"","email":"","role":"Listing and data collection regional supervisors"},{"name":"Asya Mussa Vuai","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Hafidh Haji Salum","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Idrisa Abdulwakil Idrisa","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Juma Ali Juma","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Khaytham Ali Juma","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Subira Khamis Mohamed","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Seif Amour Ali","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Hidaya M. Juma","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Hussen A. Hussen","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Mohamed Mlekwa Yussuf","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Mwanjabu Ali Mussa","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Ramadhan Ali Hassan","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Khatib Mohamed Khatib","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Maryam Muhajir Tahir","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Ramla M. Kassim","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Raya M. Mahfoudh","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Saleh Idrissa Abeid","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Habiba Bakar Othuman","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Hadid Rashid Hadid","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Hamad Khamis Rashid","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Sitti Haji Ali","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Rahma Said Hassan","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Sabiha Khamis Juma","affiliation":"","email":"","role":"Enumerators during listing exercise"},{"name":"Salim Abdalla Masoud","affiliation":"","email":"","role":"Enumerators during listing exercise"}],"production_statement":{"producers":[{"name":"European Union","affiliation":"","role":"Financially supported"},{"name":"United States Agency for International Development","affiliation":"","role":"Financially supported"},{"name":"Food and Agriculture Organization","affiliation":"","role":"Technical Assistance"},{"name":"United States Department of Agriculture","affiliation":"","role":" Technical Assistance"}],"copyright":"(c) 2021, The Office of the Chief Governnment Statistician","funding_agencies":[{"name":"Revelution Goverment of Zanzibar","abbreviation":"RGoZ","role":"Financially supported"},{"name":"European Union","abbreviation":"EU","role":"Financially supported"},{"name":"United States Agency for International Development","abbreviation":"USAID","role":"Financially supported"}]},"distribution_statement":{"contact":[{"name":"Head, Data Processing Division","affiliation":"The Office ot the Chief Goverment Statistician","email":"abdullah.makame@ocgs.go.tz","uri":"www.ocgs.go.tz"}]},"series_statement":{"series_name":"Agricultural Census [ag\/census]","series_info":"The 2019\/2020 National Sample Census of Agriculture (NSCA)  is the third comprehensive Census of agriculture to be conducted in Zanzibar. The first Census was conducted in 2002\/2003 while the second was conducted in 2007\/2008."},"version_statement":{"version":"- v2.1:  Edited, anonymous dataset for public distribution.","version_date":"2021-08"},"study_info":{"abstract":"The Government of Zanzibar carried out the Agriculture Sample Census as an important part of the Poverty Monitoring Master Plan, in generating relevant and reliable agricultural statistics, for advocacy of effective public policy formulation, geared to promote agriculture sector in the country, of which the majority of the rural population depends on for survival and it is their main source of livelihood. In addition, the Census provides data to policy makers and other stakeholders, as well as benchmark data for monitoring and evaluating the effect of rural development initiatives.\n\nThe 201907\/08 Agriculture Sample Census was designed to meet the data needs of a wide range of users including policy makers, planners and development project implementer at local, district, regional and national levels, as well as rural development agencies, funding institutions, researchers, NGOs, farmer\u2019s organizations, etc. This report provides detailed description of the state of agriculture on the sub sectors of crops and livestock in Zanzibar for the 2019\/20 agricultural year based mainly on smallholder farmers.\n\nA total of 180,220 agricultural households were engaged in agriculture, out of which 162,239 households (90.0 percent) were in rural areas and 17,981 (10.0 percent) of the households were in urban areas. The number of agricultural households increased from 132,193 in 2007\/2008 to 180,220 in 2019\/20 NSCA, present an increase of 36.3 percent.\n\nCrop production was the most common agricultural activity in the Country, of which 64.2 percent of agricultural households were engaged in Crop production only, followed by crop and livestock (34.6 percent) and the least activities engaged with fewer number was rearing or keeping livestock only with only 1.2 percent. \n\nThere were 180,220 agricultural households, out of which 145,496 (80.7 percent) were male headed households and 34,722 (19.3 percent) were female headed households. Kusini Pemba \nregion had the largest number of female headed household (29.8 percent). The second notch was followed by Kaskazini Pemba (23.9 percent) and Mjini Magharibi 20.0 percent, whilst the region with the lowest number of female headed household was Kusini Unguja.\n\nIn addition to that, there were 1,089,891 household members in the agricultural households out of which 49.7 percent were males and 50.3 females. The household members aged below 15 years accounted for 43.5 percent of the total population whilst, members aged 15 to 64 years (52.0 percent) and members aged above 65 years were 4.5 percent only. The average household size for agricultural households was 6 persons per household. Kusini Pemba region had the largest average number of people per household (6.4), followed by Mjini Magharibi and Kaskazini Pemba with 6.2 and 6.0 persons respectively whilst the smallest household size was recorded in Kusini Unguja 5.2\n\n\nFrom the total 944,466 household members with five years and above Kiswahili recorded the highest literacy rate of 48.5 percent, followed by members who were capable to read and write \nboth Kiswahili and English (289,894; 30.7 percent) and other language (0.6 percent). Conversely,190,677 household members (20.2 percent) did not know how to read\/write any other language.\n\nThe census results reveal that, from the total 944,466 household members aged 5 years and above the schooling Status was 42.4 percent were still attending School, 26.4 percent were completed school, 16.8 percent dropped out and only 14.5 percent never attended School \n\nThe results show that the total land area owned by smallholders under different forms of ownership was 186,240 ha. Most of the land was owned under customary law (82,375 ha; 44.2 percent), followed by land borrowed from others (56,688 ha; 30.4 percent) and land leased\/certificate of ownership (11.7 percent). The land ownership with the lowest area was that of the shared cropped from others.\n\nHowever, large variations existed between regions on land sufficiency for agriculture where out of the total 180,220 households,48.8 percent (88,030 households) reported land is insufficient \nwhereby within the region land scarcity is more acute in Kaskazini Pemba region with 25,967 households (63.7 percent), followed by Mjini Magharibi (20,523; 57.2 percent) and Kusini Unguja \n7,597 (43.2 percent). \n\nThe total area planted crops during the agricultural year 2019\/20 was 184,350 ha where most of the area with 125,086 ha (67.9 percent) was planted with annual crops while permanent or perennial crops occupied 59,264 (32.1percent). On annual crops; roots & tubers crops had the lion share with 58.2 percent of the planted area, followed by cereals 29.4 percent, fruits and vegetables had 8.8 percent of the area covered with annual crops while pulse crops and oil seed and nut crops had the lowest area of 2.6 percent and 1.0 percent respectively. On permanent crops bananas had the largest area with 50.7 percent of the area followed by cloves 14.9 percent and coconuts with 12.9 percent covered with permanent crops and mangoes 5.8 percent.\n\nThe total production of cereals during 2019\/20 agricultural year was 54,602 tons, where paddy had the largest quantity harvested of 50,421 tons (92.3 percent), followed by Maize 3,951 tons (7.2 percent), and bulrush millet 24 tons (0.3 percent). \n\nThe total production for roots and tuber crops was 223,483 tons of which cassava had the highest production with 183,971 tons, followed by sweat potatoes 38,180 tons, yams 1,809 tons and lowest production was on coco yams 1,409 tons.\n\nAmong the three main pulses grown in Zanzibar during the 2019\/20 agricultural year were cowpeas had the highest production of 3,675 tons (83.3%), followed by pigeon pea 549 tons \n(12.5%), while green grams had the lowest production of 155 tons (3.5%). On the other hand, the only oil seed crop reported in Zanzibar during the 2019\/20 NSCA was groundnuts with total \nproduction of 690 tons.\n \nFruits and vegetables crops production was 49,687 tons. Among the five important produced crop in this group, okra recorded the highest production with 11,004 tons (22.1 percent), followed by water melons 10,897 tons (21.9 percent), tomatoes 10,647 tons (21.4 percent), eggplant 4,879 tons (9.8 percent) and amaranths 4,384 tons (8.8 percent). \n\nThe main cash crops produced in Zanzibar and earn the islands most of the forex from the crop sub sector are cloves and seaweeds. Cloves production shrunk by almost 4 times from 8,007 tons recorded in 2002\/03 agricultural year to 2,236 tons in 2019\/20 agricultural year while seaweed production escalates by more than 9 times, from 617 tons in 2002\/03 agricultural year to 5,532 tons in 2019\/20 agricultural year.\n\nThe total of 132,582 households engaged in permanent crop production in Zanzibar during 2019\/20 agricultural year and managed 59,264 ha. An estimated 173,981 tons of different crops \nproduced of which bananas had the highest production 88,085 tons (50.6 percent), followed by mangoes 17,313.3 tons (10.0 percent), pineapples 15,589 tons (9.0 percent). Coconuts and \nsugarcane production was 7.6 percent and 7.1percent respectively to the total permanent crops produced during the 2019\/20 agricultural year. \n\nAbout 20,995 agricultural households (12.0 percent) processed their agriculture produce to increase its value. Kusini Pemba region had the highest proportion (15,801, households; 75.3 \npercent) of total households processed crops, followed by Mjini Magharibi (2,972 households; 14.2 percent) while the least was Kaskazini Pemba with 310 households.\n\nThe number of agricultural households reported practicing irrigation for crop production was 45,618 equivalents to 25.6 percent of the total agricultural households. Kusini Pemba region \nreported the highest number of households with 14,886 (32.0 percent), followed by Mjini Magharibi 30.6 percent), while Kaskazini Pemba region had the least number of households 5.7 \npercent. The total area planted with annual crops was 126,001 ha (66,647 ha in short rainy season and 59,355 ha during the long rainy season). The total area irrigated was 16,484 (9,063 ha in short rainy and 7,268 ha in long rainy season). The largest area irrigated planted paddy which is 6,772 ha, followed by water melon 1,865 ha, while the smallest area irrigated was 15 ha planted with carrot. The total planted area for Permanent crops were 59,265 ha of which only 1,945 ha irrigated. Banana had the largest irrigated area of 710 ha; followed by clove 603 ha, while lemon had smallest irrigated area (17 ha).\n\nThe use of different inputs such as improved seeds, fertilizer, herbicides, Fungicides, insecticides for crops production based on annual and permanent crops vary. During short rainy season the number of households used improved seed was 110,804 households and area planted was 15,609 ha. During the long rainy season, the number of households used improved seeds was 101,874 households and the total land area planted was 13,705 ha.\n\nThe number of households applied inorganic fertilizers for annual crops during the short rainy season was 28,778 households and 19,814 households in long rainy season. The area applied with inorganic fertilizers was 8,766 ha during the short rainy season and 5,422 ha in long rainy season. The number of households that applied organic fertilizers on annual crops was 20,494 during the short rainy season and 30,748 households during the long rainy season. The total area applied with organic fertilizers was 5,913 ha in short rainy season and 11,511 ha in long rainy seasons.\n \nThe number of households that applied herbicides for annual crops production was 9,944, during the short rainy season and 15,627 households during the long rainy season. The total area applied with herbicide was 3,696 ha in short rainy season and 6,093 ha in long rainy seasons.\n \nThe number of households applied fungicide on annual crops was 14,336 whereas 9,233 households during the short rainy season and 5,103 households in long rainy season. The total area \napplied with fungicide was 3,626 ha during the short rainy season and 1,528 ha in long rainy season. \n\nThe number of households that applied insecticide in their annual crops was 37,149, of which 24,134 during short rainy season and 13,015 households during the long rainy season. The total \narea applied with insecticide was 12,064 of which 8,205 ha in short rainy season and 3,859 ha in long rainy season. \n\nOut of the total 178,071 involved in crop production, only 17,899 households (10.1 percent) received extension services. On the use of agriculture implements and mechanization, the \nmajority of the agricultural households 174,394 use sword, followed by hand hoes 167,294 households and hand sprayers 18,694 households, oxen 6,656 households while ox seed planters \nused by least number of households 265. Most of the agricultural households own an average of 2 swords and 2 hand hoes whereas 2.4 percent owned hand sprayer. Only 13,273 agricultural \nhouseholds (7.4 percent) of the total agricultural households used tractors\/draft animals for farming during 2019\/20 agricultural year.\n\nOn use of credit 3,583 agricultural household (2.0 percent) reported to borrowed money for agricultural activities during 2019\/20 agricultural year. The main source of the \u2018first credit\u2019 was \nCooperatives of which a total of 1,815 agricultural household members borrowed money, followed by savings and credit Societies with 504 household members, the third source was Private \nindividual (401 members). Cooperatives were the second credit and the only source reported with 154 household members. The majority of the household members used the credit in paying labour and the second main use of credit was the purchase of seeds while the least uses of agricultural credit was for fish farming. The total credit borrowed by household members worth TZS 1,543.3 million with an average of TZS 430,722.0 per household while the repayment value was TZS 2,774.0 million.\n\nThe majority of agricultural households (41.6 percent) received market information from fellow farmers, followed by Mobile phone 28.2 percent and radio 24.3 percent while the least number of agricultural households 1.2 percent receive market information on internet.\n \nCrop theft was the major constraint mentioned by 20.8 percent of the households, followed by access to land 12.0 percent while the destruction of crops by wild animals\/birds and pests and \ndiseases destruction, both were third after being reported by 11.0 percent of the households. \n\nThe total of 64,459 households (36 percent to the total agricultural households) was involved in livestock rearing. The main livestock species raised in Zanzibar were cattle, goats, sheep, pigs and chicken and the inventory collection reference date is 1st August, 2020 while other variables including livestock product its reference date was the 2019\/20 agricultural year. Besides livestock and poultry population, other variables collected in the 2019\/20 agriculture year were milk and eggs production.\n \nAs at 1stAugost, 2020, the numbers of households keeping main livestock were 64,459 of which raising 55,925 household kept cattle, 18,480 households raised goats, 192 households rear sheep and 145 households kept pigs. An estimated 103,382 households reported to keep poultry. The results show that, there were 270,997 cattle, 111,623 goats, 934 sheep, and 2,209 pigs. Whilst the total number of chicken reported were 3,764,184 birds, of which 3,705,505 birds (98.4 percent) kept by smallholder farmers and 58,679 (1.5 percent) birds from large scale farms. \n\nThe total milk production was 36,450,637 liters (23,343,263 liters wet season and 13,107,374 liters dry season). On the other hand, a total of 112,702 liters of goat milk was reported during 2019\/20 agricultural year. A total of 223,778,301 eggs were produced of which 10.5 percent produced from indigenous chicken and 89.5 percent from improved chicken.\n\nThe main method used for cattle identification colour which was reported by 54,031 households (96.6 percent), followed by cattle clan (538 households; 0.9 percent) and earring (474 households; 0.8 percent). \n\nThe total number of households 11,120 households (19.9 percent) reported tick borne diseases infection where 26,365 cattle were infected. About 4,694 households (8.4 percent) reported \nContagious Bovine Pleura Pneumonia (CBPP) disease infections where cattle 10,421 cattle were infected. An estimated 439 households reported infection of Trypanosomiasis with 748 \ncattle infected with the disease. A total of 13,406 households reported Lumpy Skin disease with 29,801 cattle were infected. Helminthiosis disease was reported by 17,295 households \nwith 58,690 cattle infected whereas FMD reported by 4,485 households and there was 11,603 cattle infected. Brucellosis had 3,318 cases of infected cattle and reported by 2,497 \nhouseholds. The total of 2,485 households reported Black Quarter disease with 7,517 cattle infected.\n\nThe total of 507 households reported Foot Rot disease to their goats and 1,394 heads infected. About 858 households reported CCPP disease where 2,998 goats were infected. Helminthiosis \nwas reported by 3,919 households with 17,169 goats infected whereas FMD was reported by 2,753 households with 9,090 goats infected.\n\n \nThe census results show that, 3,357 livestock keeping households reported to apply vaccination on FMD whereas 1,019 households applied vaccination against rabies and 2,169 households reported to receive vaccination against Black Quarter disease. About 1,070 households receive Anthrax disease vaccination whereas, 2,076 households reported to receive vaccination on CBPP.\n\nThe main method used to control Tick Borne Diseases was spraying applied by 8,976 households (80.0 percent) followed smearing 1,314 households (12 percent), dipping, 751 households (7 \npercent) and others 196 (1 percent) (Table 4.41). The control methods used for tsetse flies disease include dipping 150 households (75 percent) and spraying 49 households (25 percent). The main control methods used for New Castle Disease (NCD) included Vaccination applied by 2,728 households (34 percent) and local herbs 2,515 households (31 percent). The number of households received extension advice was 6,149 (10.0 percent to the total livestock keeping households).\n\nThe number of households practicing fish farming was 368 only. The majority of households 353 (95.9 percent) were smallholder farmers. The number of stocked fish was 330,677 fingerlings \n(173,286 from small holders and 157,391 from large scale farms), whereby the total quantity of fish harvested was 64.2 tons of which a total of 59.4 tons were sold.\n \nThe only sources of fingerlings reported by the majority of fish farming households were natural pond and NGO\/Project reported by 225 households (61.3 percent) and 142 households (38.7 \npercent) respectively.\n \nThe bee keeping was practiced by 3,064 agricultural households. The total of 36,393 beehives used (6,104 from Small Bees and 30,289 from Large bees) which produce 10,958 liters of honey.\n\nThe majority 157,927 households (87.6 percent) used iron sheets as a roofing material, followed by use of grasses\/leaves which accounted for 12.0 percent. Other building materials reported were the use of grasses and muds that accounted for 0.2 percent. Tiles (185; 0.10 percent) and asbestos (270; 0.15 percent) were the least building materials used for roofing, walls and floor. Cement was the main material used for construction of floor and it was reported by 126,364 households (70.1 percent), followed by earth and sand mentioned by 50,892 households (28.2 percent), and the least used was tiles by 2,962 households (1.6 percent). The percentage of household has increased from 15.6 percent in 2008 to 28.2 percent in 2020.\n \nThe survey reveals that there are 64,656 households (35.9 percent) out of 180,220 households, used cement bricks for walls. Poles and muds was the second material used for walls and was \nreported by 59,469 households (33.0 percent) followed by brick stones 19,813 households (11.0 percent). Grass was the least material since it was used only by 200 households (0.1 percent). The most commonly used toilet facility by households was flush toilet with cistern 64,620 (36.0 percent), followed with those with no toilets (32,944 households; 18.3 percent) and pit latrine with slab\/washable (29,297 households; 16.3 percent), while composting toilet\/ECOSAN latrine was the least reported type of toilet with 340 households (0.2 percent).\n\nThe results show firewood continued to be a dominant source of energy for cooking, it is used by 151,659 households (84.2 percent). Charcoal is the second source of energy for cooking used by 23,202 agricultural households (12.9 percent. The two source of energy for cooking were used by 97.1 percent of agricultural households. Wick lamp reported by 82,750 households (45.9 \npercent) is the leading source of energy for lighting followed by electricity (66,285 households; 36.8 percent) and solar (17,279 households; 9.6 percent). \n\nPiped water was the main source of drinking water during wet season reported by 78.0 percent of household, followed by protected well (24,487 households; 13.6 percent) and unprotected well (12,500 households; 6.9 percent). Regardless of the type of water source, most of the households (98 percent of the total agricultural households) obtain drinking water from a distance of less than 1 kilometer during both wet and dry season,\n\nMobile Telephone was the common owned asset by most of the households 166,573 (92.4 percent) while bicycles was owned by 96,449 house (53.5 percent).\n \nThe number of meals normally taken by agriculture household was either two or three meals, 95,097 households (52.8 percent) take two meals per day and 78,970 households (43.8 percent) \ntake three meals per day. During agricultural year 2019\/20; 40.7 percent of agricultural households rarely experienced problems in satisfying the household food requirements. \nAbout 34,505 households (19.1 percent) reported \u2018other casual cash earnings\u2019 as their main source of income, followed by sales of food crops 32,765 households (18.2 percent) and business income 31,514 households (17.5 percent) as the source of cash income. Remittances was reported by 19,269 households (10.7 percent) had a significant contribution as a main source of cash income to agricultural households.","coll_dates":[{"start":"2020-08","end":"2020-10","cycle":"3 month"}],"nation":[{"name":"Zanzibar,Tanzania","abbreviation":"TZA"}],"geog_coverage":"Zanzibar\nUrban and Rural\nRegion\nDistricts","analysis_unit":"Agriculture Households for both Household and Individual\u00a0level","universe":"All Household members aged 15 years\u00a0and\u00a0above","data_kind":"Sample survey data [ssd]","notes":"The 2019\/20 National Sample Census of Agriculture was conducted for both large scale farms and smallholder farmers by using three different questionnaires: \ni). Smallholder farmers questionnaire \nii). Large scale farms questionnaire \niii).Community level questionnaire\n\nThe smallholder farmers questionnaire: was the main census instrument and main topics \ncovered were: \na) Household information \nb) Land access\/ownership\/tenure \nc) Land use \nd) Conservational farming \ne) Access and use of resources \nf) Annual and permanent crops production \ng) Main use of crop residuals \nh) Agroprocessing \ni) Crop storage \nj) On farm investments \nk) Access and use of credit for agricultural purposes \nl) Crop extension services \nm) Livestock production and products \nn) Outlet for sales of livestock \no) Livestock structures\/accessories \np) Livestock pest & parasite control \nq) Livestock extension \nr) Livestock extension service providers\ns) Government regulatory challenges \nt) Fish farming \nu) Bee keeping \nv) Labour use \nw) Subsistence vs non-subsistence \nx) Access to infrastructure and other services \ny) Agricultural constraints \nz) Market information \naa) Poverty indicators at household level\n\nThe large-scale farm questionnaire: was administered to large farms which were either privately or corporately managed.\n\nThe community level questionnaire: was designed to collect village level data such as access and use of common resources, community tree plantations and seasonal farm gate prices."},"method":{"data_collection":{"data_collectors":[{"name":"The Office of the Chief Goverment Statistician","abbreviation":"OCGS","affiliation":"President 's Office, Finance and Planning"}],"sampling_procedure":"The National Master Sample developed by Office of the Chief Government Statistician (OCGS) to serve as national framework for conducting household-based survey in the country \nwas used to design the 2019\/2020 National Sample Census of Agriculture (NSCA). The 2019\/2020 sample was designed to provide estimates disaggregated at regional and district levels.\n \nThe 2019\/2020 NSCA adopted a two-stage design with census enumeration areas as Primary Sampling Units (PSUs) and households as second-stage units. The stage one sampling frame \ncomprises of selection of urban and rural EAs from the 2012 Population and Housing Census frame. The EAs were explicitly sorted by Region and District before employing a Probability \nProportionate to Size (PPS).\n \nThe second stage was the selection of agricultural farming households from the selected EAs for data collection.\n\nSample Size\nA total of 150 PSUs were selected from the 2012 Population and Housing Census (PHC) frame. Out of these, 128 PSUs were from rural EAs and 22 from urban EAs. The number of \nhouseholds differed from one PSU to another, it ranged from 5 to 30 households, making a 5 total number of 1,800 households. The probability of selecting a household depended on the \ntotal number of households in the PSU.","coll_mode":["Computer Assisted Personal Interview [capi]"],"research_instrument":"The 2019\/2020 National Sample Census of Agriculture was conducted for both large scale farms and smallholder farmers by using three different questionnaires: \n\n1.The smallholder farmers questionnaire\n2. The large-scale farm questionnaire\n3. The community level questionnaire","coll_situation":"The Steering Committee was responsible for making pertinent decision with regards to census implementation, whereas the Committee of Directors provides advice to the Steering Committee. On the other hand, the Technical Committee was responsible for the overall planning and execution of the project. More specifically the team was responsible to\ni) Develop tabulation plans;\nii) Develop sample design;\niii) Questionnaire design and other census instruments;\niv) Field pre-testing of the census instruments;\nv) Execution training of trainers;\nvi) Information, education and communication campaign; and\nvii) Field supervision and consistency checks.","act_min":"well extends to all the professionals, regional and district supervisors and field enumerators for their dedicated work."},"analysis_info":{"sampling_error_estimates":"The technic was designed to give estimates of different parameters with the error margin of 5 percent at 95-confidence level."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The Chief Government Statistician may disclose information in the form of individual statistical records solely for bona fide research or statistical\npurposes provided that:-\n(a) all identification such as name and address has been removed;\n(b) the information is disclosed in a manner that is not likely to enable the identification of the particular person or undertaking or business to which\u00a0it\u00a0relates.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Chief Government Statistician","affiliation":"President's Office, Finance and Planning","email":"zanstat@ocgs.go.tz","uri":"www.ocgs.go.tz"}],"cit_req":"\"The Office of the Chief Government Statistician  National Sample Census of Agriculture 2019\/2020 (ANSC 2019\/2020) , Version 1.1 of the public use dataset (August 2021), provided by the National Data Archive. www.ocgs.go.tz\"","conditions":"OCGS considered three levels of accessibility:\n\n1) Public use files, accessible by all\n2) Licensed datasets, accessible under certain conditions\n3) Datasets only accessible on location, for certain datasets\nAny person or organization to whom any statistical records are disclosed shall: -\n(a) not attempt to identify any particular person or undertaking or business;\n(b) use the information for research or statistical purposes only;\n(c) not disclose the information to any other person or\u00a0organization;","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"schematype":"survey"}