{"doc_desc":{"title":"National Survey of Agricultural Export Commodities 2006","idno":"DDI-NGA-NBS-AGREXP-2006-v1.0","producers":[{"name":"National Bureau of Statitics","abbr":"NBS","affiliation":"Fedral Government of Nigeria (FGN)","role":"Data Producers"}],"prod_date":"2008-09-11","version_statement":{"version":"Version 1.0"}},"study_desc":{"title_statement":{"idno":"NGA-NBS-AGREXP-2006-v1.0","title":"National Survey of Agricultural Export Commodities  2006","sub_title":"Third round","alternate_title":"AGREXP-2006","translated_title":"No Translation"},"authoring_entity":[{"name":"National Bureau of Statitics(NBS)","affiliation":"Federal  Government of Nigeria(FGN) "}],"oth_id":[{"name":"Ministry Department and Agency","affiliation":"MDAs","email":"","role":"Technical Surport"}],"production_statement":{"producers":[{"name":"Central Bank of Nigeria","abbr":"CBN","affiliation":"Fedral Government of Nigeria (FGN)","role":"Collaboration"},{"name":"Federal Ministry of Agriculture & Rural Development","abbr":"FMA&RD","affiliation":"Fedral Government of Nigeria (FGN)","role":"Collaboration"},{"name":"Federal Ministry of Commerce","abbr":"FMC","affiliation":"Fedral Government of Nigeria (FGN)","role":"Collaboration"}],"copyright":"(c)NBS 2007","prod_date":"2007-09-26","funding_agencies":[{"name":"National Bureau of Statitics","abbr":"NBS","role":"Technical Surport"},{"name":"Central Bank of Nigeria","abbr":"CBN","role":"Funding"}]},"distribution_statement":{"distributors":[{"name":"Central Bank of Nigeria","abbr":"CBN","affiliation":"FEDRAL GOVERNMENT OF NIGERIA","uri":""},{"name":"Federal Ministry of Agriculture and Rural Development","abbr":"FMA&RD ","affiliation":"FEDRAL GOVERNMENT OF NIGERIA","uri":""},{"name":"Federal Ministry of Commerce","abbr":"FMC","affiliation":"FEDRAL GOVERNMENT OF NIGERIA","uri":""}],"contact":[{"name":"DR G.O. Adewoye","affiliation":"Director Census & Surveys","email":"georgeadewoye@yahoo.com","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"Mrs A.N. Adewimbi","affiliation":"Head of  Information and Comnucation Technology Department","email":"aanadewimbi@yahoo.com","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"Biyi Fafunmi","affiliation":"Data Curator","email":"biyifafunmi@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"Mr R.F. Busari","affiliation":"ICT","email":"rfbusari@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"Mrs A. A. Akinsanya","affiliation":"Data Archivist","email":"paakinsanya@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"},{"name":"National Bureau of Statistics (NBS)","affiliation":"Fedral Government of Nigeria (FGN)","email":"feedback@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"}]},"series_statement":{"series_name":"Agricultural Survey [ag\/oth]","series_info":"In recent past, three survey projects had been conducted through National Survey of Agricultural Exportable crop Commodities (NSAEC).  The survey projects include: Pilot test 2002\/2003, others 2004\/2005 and 2005\/2006.\nThe projects were jointly carried out by four federal agencies namely: National Bureau of Statistics (NBS), Central Bank of Nigeria (CBN), Federal Ministry of Agriculture & Rural Development (FMA&RD) and Federal Ministry of Commerce (FMC).\nObviously, the results obtained from these joint projects would add value to agricultural production in the country.  It is believed that the survey results would give both government and non governmental agencies ample opportunity to address the ugly situation of the past years.\nThe survey covered the following fourteen crops: Cashew, Cocoa, Coffee, Cotton, Garlic, and Ginger, Groundnut, Gun Arabic, Oil palm, Rubber, Sesame seed, Sheanuts, Sugar cane and Tea.\nThis report is based on the 2005\/06 survey result which is the third edition of its series and the most recent conclusive project."},"version_statement":{"version":"version 1.0","version_date":"2008-09-11","version_notes":"The general review of the documentation"},"study_info":{"keywords":[{"keyword":"sex","vocab":"","uri":""},{"keyword":"sales","vocab":"","uri":""},{"keyword":"funds","vocab":"","uri":""},{"keyword":"inputs","vocab":"","uri":""},{"keyword":"consumption","vocab":"","uri":""},{"keyword":"market","vocab":"","uri":""},{"keyword":"problems","vocab":"","uri":""},{"keyword":"seedling","vocab":"","uri":""},{"keyword":"fertilizer","vocab":"","uri":""},{"keyword":"insecticide","vocab":"","uri":""},{"keyword":"cashew","vocab":"","uri":""},{"keyword":"cocoa","vocab":"","uri":""},{"keyword":"coffee","vocab":"","uri":""},{"keyword":"cotton","vocab":"","uri":""},{"keyword":"garlic","vocab":"","uri":""},{"keyword":"ginger","vocab":"","uri":""},{"keyword":"groundnut","vocab":"","uri":""},{"keyword":"gum arabic","vocab":"","uri":""},{"keyword":"oil palm","vocab":"","uri":""},{"keyword":"rubber","vocab":"","uri":""},{"keyword":"sesame seed","vocab":"","uri":""},{"keyword":"sheanuts","vocab":"","uri":""},{"keyword":"sugarcane","vocab":"","uri":""},{"keyword":"tea","vocab":"","uri":""},{"keyword":"farm","vocab":"","uri":""},{"keyword":"holding","vocab":"","uri":""},{"keyword":"holder","vocab":"","uri":""},{"keyword":"area","vocab":"","uri":""},{"keyword":"production","vocab":"","uri":""},{"keyword":"transportation","vocab":"","uri":""},{"keyword":"implement","vocab":"","uri":""},{"keyword":"funds","vocab":"","uri":""},{"keyword":"employment","vocab":"","uri":""},{"keyword":"land","vocab":"","uri":""},{"keyword":"storage","vocab":"","uri":""}],"topics":[{"topic":"rural economics [1.6]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"agricultural, forestry and rural industry [2.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"employment [3.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"basic skills education [6.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"educational policy [6.3]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"vocational education [6.7]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"plant and animal distribution [9.4]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"TRANSPORT, TRAVEL AND MOBILITY [11]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"children [12.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"gender and gender roles [12.6]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"family life and marriage [12.5]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"In the recent past, three survey projects had been conducted by the\nTechnical Committee of the Consultative Committee on Agricultural Export\nCommodities Statistics (CCAECS). The survey projects include: Pilot test\n2002\/2003, 2004\/2005 and 2005\/2006.\nThe projects were jointly carried out by four federal agencies namely:\nNational Bureau of Statistics (NBS), Central Bank of Nigeria (CBN), Federal\nMinistry of Agriculture & Rural Development (FMA&RD) and Federal Ministry\nof Commerce (FMC).\nObviously, the results obtained from these joint projects would add value to\nagricultural production in the country. It is believed that the survey results\nwould give both government and non-governmental agencies ample\nopportunity to address the ugly situation of dearth of reliable statistical data\non export crops.\nThe survey covered the following fourteen crops: Cashew, Cocoa, Coffee,\nCotton, Garlic, Ginger, Groundnut, Gum Arabic, Oil palm, Rubber, Sesame\nseed, Sheanuts, Sugar cane and Tea.\nThis report is based on the 2005\/06 survey result which is the third edition\nof the series and the most recent conclusive project.\n1.2 OBJECTIVES OF THE SURVEY\nThe major objectives of the survey include:\ni. To ascertain the spread of the cultivation of each of the fourteen\nexport crops within Nigeria in terms of area cultivated by state.\nii. To provide a national baseline data on agricultural export\ncommodities.\niii. To provide structural data on agricultural export commodities in\nNigeria.\niv. To obtain socio-economic data and demographic characteristics of\nholders within households.\nv. To provide production estimates at national and state levels.","time_periods":[{"start":"2006-09-05","end":"2006-09-25","cycle":"20 days"}],"coll_dates":[{"start":"2006-09-05","end":"2006-09-25","cycle":"20 days"}],"nation":[{"name":"Nigeria","abbreviation":"NGA"}],"geog_coverage":"National State","analysis_unit":"Household","universe":"Household export crop holder","data_kind":"Sample survey data [ssd]","notes":"The Survey covered farming households involved in the selected export\ncrops, which covered all states in Nigeria and the Federal Capital Territory\n(FCT). Allocation of sample in LGAs and States varies from a minimum of\nthree to a maximum of nine, based on the number of export crops grown in\nthe state, as well as on the intensity of cultivation.\nIn all, 192 LGAs were sampled nationwide with 10 EAs selected from each\nsampled LGA, bringing the total number of EAs nationwide to 1920. In each\nEA, 10 housing units were selected, which brought the total number of\nhousing units covered in the survey to 19,200.\nThe scopes for data collection were as follows:\n\u2013 Access to land by type of tenure\n\u2013 Area cultivated under each crop\n\u2013 Production in terms of output of each crop\n\u2013 Use of Farm Inputs - fertilizer, pesticides and improved seedlings\n\u2013 Access to Credit facilities\n\u2013 Employment\n\u2013 Market channels,\n\u2013 Farm gate and Open market prices\n\u2013 Consumption from own-production\n\u2013 Transportation and Storage\n\u2013 Use and access to farm Implements."},"method":{"data_collection":{"time_method":"2004\/2005","data_collectors":[{"name":"Field services and methodology department,","abbr":"FSM","role":"","affiliation":"National Bureau of Statistics (NBS)"}],"sampling_procedure":"The first frame was the list of 774 LGAs nationwide. The second frame was\nthe list of EAs demarcated by the National Population Commission during\nthe 1991 population census.\n2.4 REPORTING DOMAIN\nThe reporting domain was the state. Summation over the states gave an\nindication for the national estimates.\n2.5 SAMPLE DESIGN\n 192 LGAs were selected nationwide.\nA 2-stage sample design was employed.\nIn the first stage,I0 EAs were systematically selected from each\nsampled LGA. Of the expected 1,920 EAs, only 1,855 were found to have\nexport crops and were eventually studied.\nIn the second stage, 10 export crop farming housing units were systematically\nselected from each sampled EA (provided there were more than 10 farming\nhousing units in the EA). Where there were 10 or less farming housing\nunits, no selection was required and all available housing units were\nstudied.\nOut of the 18,550 export crop farming housing units expected to be covered, 16,310 were canvassed.","sampling_deviation":"No deviation","coll_mode":["Face-to-face [f2f]"],"research_instrument":"Agricultural Holding Questionnaire\nHOLDING QUESTIONNAIRE\nSECTION I:       HOLDING IDENTIFICATION\nSECTION II:      ACESS TO LAND\t\nSECTION III:     SOURCE OF FUNDS\t\nSECTION IV:     EXPORT CROP FARMING\nSECTION VII:     MARKET CHANNEL\nSECTION VIII:    QUANTITY SOLD\t\nSECTION X:       QUANTITY CONSUMED\t\nSECTION XI:      USE OF FERTILIZER\t\t\t\nSECTION XII:     USE OF PESTICIDES\nSECTION XIII:    USE OF IMPROVED SEEDLING\/SEED\t\nsome modification were done on the 2003 questionnaire","sources":[{"name":"","origin":"","characteristics":""}],"coll_situation":"DATA COLLECTION STRATEGY\nThe NBS permanent field staff carried out the data collection during the survey year.    Each household head or a responsible adult in the household gave information about the household visited.  Data collection was carried out in September, 2006.\nThe field staff includes interviewers (enumerators) and supervisors while the field coordinators comprised the state officers and zonal Controllers.  Each state officer coordinated all field operations while the zonal controllers supervised the states in each zone.\nTeams of (2, 3 or 4) enumerators per (8, 10, 11 or 12) EAs were arranged in all the states and FCT, a supervisor to a team of enumerators.  The sample list of selected EAs for each state and FCT must have been distributed at the training venues for the data collection. \n\tFIELD ORGANISATION\nListing exercise began on the 4th August, 2006.  Thereafter, ten (10) export farming housing units (EFHUs) were selected for coverage.\nThe Enumerators administered the holding questionnaire(s) to all qualified agricultural export commodity farmers in each of the selected EAs, this lasted for two weeks.   Through this exercise, relevant information on production, processing, market channels, credit facilities, farm inputs and other agronomic indictors were obtained from the farmers.","act_min":"SPERVISION\/QUALITY CHECK\nIn order to ensure a high quality data, two phased quality check exercises were put in place.  During the first exercise, the officers skim-checked and spot-checked the listing forms and ten selected questionnaires in the selected EAs in each State and FCT.  Farmers were randomly selected and visited on their farms to authenticate the data entries made by enumerators.\nIn the second exercise, the headquarters based quality check was carried out by the highly trained officers from Federal Ministry of Agriculture & Rural Development, Federal Ministry of Commerce, National Bureau of Statistics and the Central Bank of Nigeria. This exercise was carried out in eighteen weak states (i.e. three states per zone) which lasted for three days.","weight":"The variable (Rf) Rasing  factor is computed and attached to the data file.\n\nThe formula adopted in calculating the design weights for the survey data (sample results) were as follows:\n(i)\tThe probability of selecting an EA within a state was obtained by dividing the total number of EAs sampled in a state by total number of EAs in that particular state. Let this be represented by fj. That is,\n fj      = \tTotal Number of EAs sampled in a state\n\t\tTotal Number of EAs in that particular State \n\n(ii)\tLikewise, the probability of selecting an housing unit (HU) within an EA was obtained by dividing the total number of housing units selected in an EA  by the total number of housing units (HUs) listed in that particular EA. Let this be represented by fk. That is,\nfk     = \t Total Number of HUs selected in an EA\n Total Number of HUs listed in that particular EA\nMathematically,\nDesign weight =     Total number of EAs in a state\n\t\t                    Total number of EAs sampled in that particular state\n\t\t\t\t\t\tX\n\t\t\t        Total Number of HUs listed in an EA \n\t\t\t        Total Number of HUs selected in that particular EA","cleaning_operations":"DATA RETRIEVAL\/STORAGE\n All questionnaires were retrieved from the field by the enumerators and submitted at the sub-offices.  Subsequently, the questionnaires were batched according to EAs and were taken to the NBS States' offices and finally to the zonal offices.\nThree NBS zonal headquarters (Ibadan, Kaduna and Enugu) were chosen for last destination of retrieval of the questionnaires.  In this case, south west  and  north central zones were merged together for the submission their records at NBS zonal headquarters, Ibadan; north west and north east zones combined together to submit their records at NBS zonal headquarters, Kaduna  whereas south east and  south south zones joined together to convey their records to NBS zonal headquarters, Enugu.\nThe completed questionnaires were collated and edited manually\n(a)  Office editing and coding were done by the editor using visul contro of the questionnaire before data entry\n(b)  Imps was used to design the data entry template provided as external resource\n(c)  six operator plus two suppervissor and two progammer were used\n(d)  six machines were used for data entry \n(e)  After data entry data entry supervisor runs fequency on each section to see that all the questionnaire were enterd\n(f)   Conversion progarm was written to convert the data to spss also provided as external resource"},"method_notes":"(a) The data entry was done manually\n(b) The data entry was done in lagos at (csd) cencus and surey division\n(c)  Six operator plus two suppervissor and two progammer were used\n(d) Six machines were used for data entry\n(e)  The data entry staff used 20 days to do the entries \n(f)   The supervisor use 5 days to checked the entries\n(g)   progarm was written to convert the data to spss also provided as external resource","analysis_info":{"response_rate":"On National basis, 100 percent response rate was acheived at LGA level and 96.61 percent at EA level\nwhile 87.92 percent was acheived at export crop farming housing units level.","sampling_error_estimates":"No sampling error estimate","data_appraisal":"In order to ensure high quality data, two phased quality check exercises were put in place.  During the first exercise, the officers skim-checked and spot-checked ten listing forms and ten selected holding questionnaires in the selected EAs in each State and FCT.  Farmers were randomly selected and visited on their farms to authenticate the data entries made by enumerators.\n\nIn the second exercise, the headquarters based quality check was carried out by the members of the technical committee. This exercise was carried out in eighteen states (i.e. three states per zone) which lasted for three days."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The confidentiality of the individual respondent is protected by law (Statistical Act 2007)\nThis is published in the Official Gazette of the Federal republic of Nigeria No. 60 vol. 94 of 11th June 2007. See section 26 para.2. Punitive measures for breeches of confidentiality are outlined in section 28 of the same Act.","required":"yes","form_no":"","form_uri":""}],"contact":[{"name":"National Bureau of Statistics (FGN)","affiliation":"Fedral Government of Nigeria (FGN)","email":"feedback@nigerianstat.gov.ng","uri":"http:\/\/www.nigerianstat.gov.ng"}],"cit_req":"National Bureau of Statistics, Nigeria, National Survey of Agricultural Export Commodities 2006-v1.0","conditions":"A comprehensive data access policy is been developed by NBS, however section 27 of the Statistical Act 2007outlines the data access obligation of data producers which includes the realease of properly anonymized micro data.","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"}