DDI_GMB_2005_NASS_v02_M Department of Planning National Agricultural Sample Survey Gambia Bureau of Statistics 2007-06-26 NADA Version 02: Adopted from DDI (DDI-GMB-DOP-NASS-2005-v1.1) that was done by Department of Planning and National Agricultural Sample Survey and reviewed by Gambia Bureau of Statistics. National Agricultural Sample Survey 2005-2006 NASS 2005-06 GMB_2005_NASS_v01_M Department of Planning

Dr. Sing

Goverment of The Gambia (GOG)

Shahell Shahel NADA Shahell Department of Planning - Principal Statistician Agricultural Survey [ag/oth] This information is collected yearly on Area ,Yield and Production on both crops and livestock. Version 1.1 (Final dataset) Edited non anonymized dataset, for internal use only. The information on crop production and livestock dominance of the agriculture sector in the economy of the Gambia makes it inevitable that the sector is made a primary target for all economic and social developmental efforts undertaken by the government and other planners and policy makers. However the absence, paucity and unreliability of essential agricultural data required for policy, planning, programming and monitoring of appropriate activities in the sector has hampered efforts at constructive and realistic development planning. It is thus vital that an agricultural statistical database be established urgently to provide reliable data and information with which to accurately plan the implementation of developmental measures. To achieve the above-mentioned objective, an annual survey (NASS) has to be conducted. Gambia, The The National Agricultural Sample Survey covered entire country except two zones of Greater Banjul areas. Households. Households, who were engaged in growing crops and/or breeding and raising livestocks in private or in partnership with others in the selected sample. Sample survey data [ssd] The scope of crops and livestock in the survey included: - Identification particulars: Geographic area information; Holder sex, education status family size and type of holding - crop, livestock population and livestock products. Department of Planning The overall sample design includes the choice of a frame, choice of sampling units, determination of the sample size, development of the selection procedure, preparation of estimators and their sampling errors and an analysis of the results. In this programme the use of EAs as primary sampling units (PSU) was advocated and these EAs corresponded with those used in the Population Census. In the past, the Enumeration Areas used by the ASRE were different from those of the CSD and this made comparability and other cross-classifications and related studies difficult. The sample selection was done in a manner that enabled the determination of the probability of each unit in the sample. These probabilities were used as weights to form the estimates. The secondary sampling units (SSU) were dabadas, (clusters of households) found within the EAs. Within a selected EA, all dabadas are listed and those that are agricultural were identified. This list of identified households then constituted the list of holders from which a systematic random sample was selected for further enumeration. Face-to-face [f2f] The questionnaire is organized in to four parts: Part 1: listing of households within the selected areas.This part provides the frame for the selection of the sample households. Part 2: Identification particulars: This part contains area identification of the selected household. It dealt with area identification of respondents such as Region, settlementss, Enumeration area household number, holder number, and type of holding. Part 3: Area measurementLi: This part of the questionnaire dealt with number of cattle, sheep, goats, horses, and mules by age and purpose; production of poultry and ; livestock diseases, treatment and vaccination; and livestock feeds used. The questionnaire used in the field for data collection purpose was prepared in English. Part 4: Yield measument.This part captures yield crop cutted from the plots. Field Organization: The entire 3 branch statistical offices of the DOP participated in the survey undertaking, especially in organizing the second stage training, in deploying the field staff to their respective sites of assignment, and retrieving completed questionnaires and submitting them to the head office for data processing. They were also responsible in administering the financial and logistic aspect of the survey within the areas of their assignment. In the data collection of the survey, a total of 37 enumerators and10 field supervisors were involved.To complish the data collection operation, all the enumerators were supplied with the necessary survey equipment at the completion of the training. To assist the data collection activities in deployment, supervision, and retrieval of completed questionnaires, reasonably adequate 3-fourwheel vehicles were used. In this survey, most of the data/information is obtained by direct investigation through: (a) the interview method in which answers were solicited from respondents and (b) physical measurements of fields and weighing of produce in order to obtain estimates of hectarage, yields and production respectively. At the end of the annual training course for enumerators/supervisors, they were posted to their areas of work in May and commenced work immediately on arrival in their respective Enumeration Areas (EAs). In the data collection of the survey, a total of 37 enumerators and 10 field supervisors were involved. To accomplish the data collection operation, all the enumerators were supplied with the necessary survey equipment at the completion of the training. To assist the data collection activities in deployment, supervision, and retrieval of completed questionnaires, reasonably adequate 3-wheel vehicles were used. A total of 74 Enumeration Areas (EAs) were selected to be covered by the survey, EAs. As regards, the ultimate sampling unit, it was planned to conduct the survey on 69,140 agricultural households. Estimation procedure for totals and ratios and their sampling errors can only be accessed in the Annex table. Department of Planning Use of the dataset must be acknowledged using a citation which would include: - the Identification of the Primary Investigator - the title of the survey (including country, acronym and year of implementation) - the survey reference number - the source and date of download Data can only be accessed by approved users and for non-commercial purposes. Department of Planning provides these data to external users without any warranty or responsibility implied. Department of Planning accepts no responsibility for the results and/or implications of any actions resulting from the use of these data. FORM 4 2005 1969 38 LGA LGA LGA LGA LGA LGA 1969 3 8 3 Brikama 4 Mansakonko 5 Kerewan 6 Kuntaur 7 Janajnbureh 8 Basse Key variable. It can be used to link all the household in the 6 files DISTRICT DISTRICT DISTRICT DISTRICT DISTRICT District. 1969 30 83 30 Kombo North 31 Kombo South 32 Kombo Central 33 Kombo East 34 Foni Brefet 35 Foni Bintang K 36 Foni Kansala 37 Foni Bondali 38 Foni Jarrol 40 Kiang West 41 Kiang Central 42 Kiang East 43 Jarra West 44 Jarra Central 45 Jarra East 50 Lower Nuimi 51 Upper Nuimi 52 Jokadu 53 Lower Baddibu 54 Central Baddibu 55 Upper Baddibu 60 Lower Saloum 61 Upper Saloum 62 Nianija 63 Niani 64 Sami 70 Niamina Kunkunku 71 Niamina West 72 Niamina East 73 Fulladu West 80 Fuladu East 81 Kantora 82 Wuli 83 Sandu Secondary key variable. It is used for distription EA EA EA EA EA EA No. 1969 30011 83022 56877.913 15579.772 Selected Enumeration areas Holding/holder Number Holding/holder Number Holding/holder Number Holding/holder Number Holding/holder Number Holding/Holder Number. 1969 1 10 5.651 2.801 Every household predefind number Exp.Factor Exp.Factor Exp.Factor Exp.Factor Exp.Factor Settlement. 1969 Varialble that gives estimated number to the entire district Settlement Name Settlement Name Settlement Name Settlement Name Settlement Name Settlement Name. 1933 .Kuasa ALJAMDOU ALJAMLOU Aellingara Osay Aklau Kunda Alikali Kunda Aljamblau Aljamdou Aljamlau Aljandau Alkali KUNDA Alkali Kunda Alkali kunda Alkan Kunda BANTANKILING BANTILING BULUMANG Badumeh Badumeh Koto Badumeh Kuta Badumeh kuta Bagadagy Bagagy Bagiram Bagiran Ballanghai Dalusala Ballanghar Ballanhou kesi leih Balli Jaha Bangheer Bangher Bangleer Bangless Banglesss Baniki Keroro Baniko Kekoro Baninko Kekoro Bantajang Bantanding Bantanding Wally Bantanjang Bantanjap Bantankiling Bantanting Bantantio musa bah Bantanto Bah Bantanto Musa Bah Bantanto bah Bantunding Batanding Batending Batti Batti Jaha Batti Yango Batti Yongo Batti Yougo Batti yongo Brikama Ba Brirama Ba Buiba Buiba Mandinka Buiba Musa Sallah Bulock Bulumang Buntankiling Burumang Burummang Busumang Bwiam Cha Kunda Chakada Chakud Chakuda Chakunda Chakunde Chama Chamcu Chamen Damisalam Damkinku Dankinku Dankunku Dankunku 1 Darsihameh Darsilame Darsilameh Darsilameh Takulata Darsilameh Takutala Darsilameh Takutalla Darsimeh Darusala Darusalam Dasailama Takutala Dasilam Takutala Dasilama Dasilama Takutala Dasilameh Dasilameh Takutala Dasilameh takutala Dasilami Takutal Dasilami Takutala Dasilami takula Dasilami takutala Dasilami takutula Demba Jallow Demba Kunda Demba Wandu Demba wandu Dembawadu Dibba Kunda Dibba kunda Digiri Dingiri Dingisi Diyari Dongor-Ba Dongoro-Ba Dongoroba DongoroiBa GUNJUR kUTA Gambiasara Gambisara Gambisara Lamai Gamisara Garaual Garauol Garaway Garawoh Garawol Gdmbna Sara Genier Geniere Gi Jahanka Giboro Kuta Gitoin Gitoiu Gitom Gui Jahanka Gui Jahanla Gui Jahanlla Gunjar Kuta Gunjui Kuta Gunjur Gunjur Kuta Gunjur Kutta Gunjur Misira Gunjur misna Gunjur missna Gunjurr Kuta Illiasa Jailam Jailan Jakine Jallan Jallow .K. Serigne Jallow K Scrgne Jallow Kuda serigerda Se Jamadi Musa Jamali Jamali Babou Jamali Barre Jamali Barri Jamali Borre Jamali Ganada Jamali Gangaba Jamali Ganganba Jamali Gangauilo Jamali Gansiada Njie Jamali borre Jamaweetty Jamawetty Jamwally Jamwelly Jamwetty Janneng Jareng Jarreng Jassong Jatta Kunda Jauan Jawally Jawelly Jijoim Jimbaa Felngo Jimbala Felngo Jimbala Fengo Jimibala Felngo Jimjbala Felngo Jinbala Felngo Jinbala Selngo Jumansar koto Jumansarr Koto Junansar koto KAYABAR KAYABORR Ka6ong Kambe Kamratty Kamube Kamubeh Kanube Kanubeh Kanuma Kanyanga Karjaborr Kartong Kassa Kunda Katamina Katanina Kayabonr Kayaborr Kayanga Keneba Ker Lauien Ker Layein Ker Layien Ker Ngada Ker Ngado Ker Ngadou Kerewan Kerr Ngadou Kerr Serign Kerr Sidy Kerr sidy Kininella Nya Kunda Kinteh Kunda Kinteh kunda Kkei Ngado Kuasa Kucha Kudaang Kudang Kundong Fula Kunda Kundong Fulla Kunda Kwinella Kwinella Nya Kwinella Nya Kunda Lamoi Gambisara MAdina Madiina Sancha Madina Madina Daru Madina Dora Madina Gigl Madina Jagi Madina Jig Madina Moda Madina Modan Madina Modo Madina Modou Madina Modoum Madina Moum Madina Njian Madina Nyaia Madina Nyaien Madina Nyier Madina SANCHA Madina Sacha Madina Sancha Mading Jasl Madms Jagi Madna Nyier Madug Japl Maehua Jakie Mahayinah Mahjinah Mahnyira Majork Manneh Kunda Mayork Mayorki Mbayen Chan Mbayen Chann Mbayeu cham Mbyen Chan Mbyen chan Medina Daru Mjaba Kunda Nadina Nyair Nadnia Nyier Nbaro Nduire Kundg Njaba Kamda Njaba Kanda Njaba Kd Njaba Kebba Jaiteh Njaba Kunda Njaba kunda Njden Fulla Njoban Falla Njoban Tualer Njoban Tukaler Njoban Tukuka Njobcn Tukalor Njoben Fala Njoben Falla Njoben Falla. Njoben Fula Njoben Fulla Njoben Talla Njoben Tukaler Njoben Tukedr Njoben Tukelar Njoben Tukular Njoben Tukulor Njoben fulla Nyagabantang Nyogabantang Pakalinding Pakawndwg Penyam Penyem Peyam Pirang SAFIATOU NJIE Sabach Njaien Sabach Njaign Sali Kenni Sali Kennu Sali Renni Salikarni Salikenni Salikerni Samba Tacko Samba Targy Samba kato Sambang Fula Sambang Futa Sambang fula Sambaug Fula Samkwia Samnay Fula Sankwai Sankwia Santanto Santanto Wurang Sare Dedeh Sare Fanto Sare Ganyado Sare Gideh Sare Sarjo Sareganyado Sarsilameh Sarsilameh Takutala Sasre Sarjo Sati Renni Sauba Luil Sawmeh Kunda Say Kunda Serr Sidy Sey Kunda Sibanor Sibanorr Sintct Fula Kunda Sinteh fulakunda Sintet Fula Kunda Sintet fulakunda Siuted Tulakmda Siutet Tula Kmda Siutet Tuta Kmda Snitek Tula Kunda Sqnkwia Starfdeh Tabayde Tabayel Tabayele Tabayelo Tankular Tankulopr Tankulor Tankuralar Timpa Tnkular Touba Sandu Tuba Mamadi Wellengara osey Welligara Welligara Njuck Welligara nju Wellijara Njack Wellijara Njie Wellijara nj Wellijara njie Wellijara njiu Wellijara ry Wellijaranju Welling gara osey Wellingara Wellingara Njai Wellingara Njan Wellinjara Njuik Welliyara Njie Willijara ry Willingara Njai bangheu batti yongo cHAKOUDY chamen dARSImi dasilami Takutala dasilami takutala gITOIN geniere gunjur iliasa illasa illiasa illilasa jAMAWETTY jumansarr kANUBE kATAMINA kAYABORR kUDANG kanubeh kerewan kerr sidy kinteh Kunda kinteh kunda kwinnela Nya Kunda mADINA SANCHA misna Gunjur nJOBEN tUKULAR sAMBANG fULA sIUTET tULA kMDA sIUTET tULA kMDA. sare ganyado tANKULAR tULA kUMDA sIUTET tULA kUMDA sIUTET tankular touba touba Sandu touba sandu wellingara Every household predefind number Name of Field Manager Name of Field Manager Name of Field Manager Name of Field Manager Name of Field Manager Name of the Field Manager. 1968 Gender of the respondent Sex of field Manager Sex of field Manager Sex of field Manager Sex of field Manager Sex of field Manager Gender of the field Manager. 1966 3 1 2 1 Male 2 Female Name of Crops in plot Name of Crops in plot Name of Crops in plot Name of Crops in plot Name of Crops in plot Name of Crops found in plot. 1969 1 10 1 Maize 2 Early millet 3 Late Millet 4 Sorghum 5 Upland Rice 6 Swamp Rice 7 G/Nut New 8 G/Nut Old 9 Sesame 10 Findo No. of stands and stools of major crop in plot No. of stands and stools of major crop in plot No. of stands and stools of major crop in plot No. of stands and stools of major crop in plot No. of stands and stools of major crop in plot Number of stands or stools of the major crop found in the plot. 376 1593 1 398 89.756 51.78 Weight in kilos of crop cut at harvest 1st Triangle Weight in kilos of crop cut at harvest 1st Triangle Weight in kilos of crop cut at harvest 1st Triangle Weight in kilos of crop cut at harvest 1st Triangle Weight in kilos of crop cut at harvest 1st Triangle Weight in kilos of crop cut at harvest: Its Triangle 493 1476 0.2 2058 7.477 92.553 Weight in kilos of crop cut at harvest 2 trangle Weight in kilos of crop cut at harvest 2 trangle Weight in kilos of crop cut at harvest 2 trangle Weight in kilos of crop cut at harvest 2 trangle Weight in kilos of crop cut at harvest 2 trangle Weight in kilos of crop cut at harvest: 2'nd Triangle 493 1476 0.2 305 4.041 13.745 Weight in kilos of crop cut at harvest total Weight in kilos of crop cut at harvest total Weight in kilos of crop cut at harvest total Weight in kilos of crop cut at harvest total Weight in kilos of crop cut at harvest total Weight in kilos of crop cut at harvest: Total 493 1476 300 7.243 13.625 After drying 5 kilograms or less of produced save, state the final weight. After drying 5 kilograms or less of produced save, state the final weight. After drying 5 kilograms or less of produced save, state the final weight. After drying 5 kilograms or less of produced save, state the final weight. After drying 5 kilograms or less of produced save, state the final weight. After drying 5 kilograms or less of produced saved, state the final weight. 493 1476 0.2 3.8 2.093 0.643 Did you replant this field Did you replant this field Did you replant this field Did you replant this field Did you replant this field Did you replant this field? 1955 14 1 2 1 yes 2 no Were you visited by an agricultural extension agent during (May-September 2002). Were you visited by an agricultural extension agent during (May-September 2002). Were you visited by an agricultural extension agent during (May-September 2002). Were you visited by an agricultural extension agent during (May-September 2002). Were you visited by an agricultural extension agent during (May-September 2002). Were you visited by an agricultural extension agent during this season? 1951 18 1 2 1 yes 2 no If yes give no. of visits If yes give no. of visits If yes give no. of visits If yes give no. of visits If yes give no. of visits If yes state the number of visits. 1 1968 2 2 2 Did you use fertilizer on this field this year Did you use fertilizer on this field this year Did you use fertilizer on this field this year Did you use fertilizer on this field this year Did you use fertilizer on this field this year Did you use any type of fertilizer on this field this year? 1940 29 1 2 1 yes 2 no Quantity of fertilizer in kg Quantity of fertilizer in kg Quantity of fertilizer in kg Quantity of fertilizer in kg Quantity of fertilizer in kg Quantity of fertilizer in kg. 452 1517 1 2502 67.457 132.688 Cost of fertilizer Cost of fertilizer Cost of fertilizer Cost of fertilizer Cost of fertilizer Cost of fertilizer. 451 1518 2 8000 502.656 630.547 Quantity of fertilizer in kg Quantity of fertilizer in kg Quantity of fertilizer in kg Quantity of fertilizer in kg Quantity of fertilizer in kg Quantity of fertilizer in kg. 12 1957 5 150 56.667 36.453 Cost of fertilizer Cost of fertilizer Cost of fertilizer Cost of fertilizer Cost of fertilizer Cost of fertilizer. 12 1957 108 460 338.333 98.269 weeder weeder weeder weeder weeder Weedier. 1226 743 1 0.937 0.243 groundnut lifter groundnut lifter groundnut lifter groundnut lifter groundnut lifter Groundnut Lifter. 640 1329 1 0.698 0.459 cart cart cart cart cart Cart. 1421 548 1 0.943 0.232 other: specify other: specify other: specify other: specify other: specify Other: Specify 1224 745 1 0.882 0.322 Barns (Farm House) Barns (Farm House) Barns (Farm House) Barns (Farm House) Barns (Farm House) Barns (Farm Houses). 460 1509 1 0.537 0.499 Cribs (Mats or baskets) Cribs (Mats or baskets) Cribs (Mats or baskets) Cribs (Mats or baskets) Cribs (Mats or baskets) Cribs (Mats or baskets). 299 1670 1 0.227 0.42 Pots Pots Pots Pots Pots Pots. 255 1714 1 0.0941 0.293 Wooded Bins Wooded Bins Wooded Bins Wooded Bins Wooded Bins Wooded Bins. 268 1701 1 0.153 0.361 Stores Stores Stores Stores Stores Stores. 1607 362 1 0.981 0.138 Others specify Others specify Others specify Others specify Others specify Others specify. 397 1572 1 0.426 0.495 Selected Random Numbers used to lay out yield plot: First Random Number Selected Random Numbers used to lay out yield plot: First Random Number Selected Random Numbers used to lay out yield plot: First Random Number Selected Random Numbers used to lay out yield plot: First Random Number Selected Random Numbers used to lay out yield plot: First Random Number 389 1580 1 931 155.005 152.57 Second Random Number Second Random Number Second Random Number Second Random Number Second Random Number 388 1581 1 261 41.93 46.606 Source of ferterlizer Source of ferterlizer Source of ferterlizer Source of ferterlizer Source of ferterlizer 444 10.0 perati A Farmer AGRIC Agric Agriculture BUY Bakindik Bakunda Basse Basse50 Bought Bought Lumo Bought Lumo Market Bought Lumo market Bought Senegal Bought fromm lumo ma Bought kerewan Agric Bought lumo Bought lumo market Bussiness Buy Agric COCNUT DAS DEC GAMCOT GOVERMENT Gambai Agric Gambia Gambia Agreic Gambia Agric Gambia Agriculture LUMO LUMo Lumo Lumo (kaur) Market SrreKunda Njau Agric Other Other farmer Other farvwy Peuate Private Private Dealers Private Realer Private dealers Prtivate Pruale Pruate Purcanse Purchaise Purchaise kerewan Ag Purchase Rivate Senega Senegal Senegal 150 Senegalesh Sibanorr Somita Somita Dec Theders Traders VISACA Visaca agric.D.E.C canbia co-operatative cooperative cooperetire coopertne from market ganbia ganbie gorernmer50 gorernmerrl gorrmment goverment government local deales lumo market market Serrekunda other own animal paute paute. peuate piuate privace private private dealers private deals privati dealer purchases relailar relailer retaila retailer traders Source of ferterlizer Source of ferterlizer Source of ferterlizer Source of ferterlizer Source of ferterlizer 16 Agric Kerewan Main Other Station Traders dealea goverment lumo other own animals relailer Type of ferterlizer Type of ferterlizer Type of ferterlizer Type of ferterlizer Type of ferterlizer 417 10 10-15-15 15*15*15 15-15-15 Area Areas COMPONUND COMPOUND Comound Compound Compound fertilizer Groundnut Fertilizer N P K N. P. K. NHS NPK NPK 15 NPKI Npk Npk 15 15 15 S S P SSP Sugar Type Sugar type UREA Urea Urea Fertilizer Urea fertilizer Uria area campomd chameal chemcal chemeal chemical chemieal chemncal chermcal com,pound comp compomd compoml compound compound NPK compound fert compound ferterlizer compound fertilizer compound filtilzer compound fitilizer compounda crea hemous local mamte local maunhe mamnt npk ssp urea urea/compound Type of ferterlizer Type of ferterlizer Type of ferterlizer Type of ferterlizer Type of ferterlizer 3 compound