{"doc_desc":{"title":"DDI NASC COM","idno":"DDI-NGA-NBS-NASC-COM-2022-v01","producers":[{"name":"National Bureau of Statistics","abbr":"NBS","affiliation":"Federal Government of Nigeria ","role":"Producer"},{"name":"Federal Ministry of Agriculture and Food Security (fomerly Federal Ministry of Agriculture and Rural Development)","abbr":"FMAFS(fomerly FMARD)","affiliation":"Federal Government of Nigeria ","role":"Contributor"}],"prod_date":"2024-10-08","version_statement":{"version":"Version 1.0"}},"study_desc":{"title_statement":{"idno":"NGA-NBS-NASC-COM-2022-v01","title":"National Agricultural Sample Census 2022","sub_title":"Community Listing","alternate_title":"NASC 2022"},"authoring_entity":[{"name":"National Bureau of Statistics (NBS)","affiliation":"Federal Government of Nigeria (FGN)"}],"oth_id":[{"name":"Federal Ministry of Finance","affiliation":"Federal Government of Nigeria","email":"","role":"Supervision"},{"name":"The 50x2030 Initiative","affiliation":"","email":"","role":"Technical assistance"}],"production_statement":{"producers":[{"name":"Federal Ministry of Agriculture and Food Security (formerly Federal Ministry of Agriculture and Rural Development","abbr":"FMAFS (formerly FMARD)","affiliation":"Federal Government of Nigeria (FGN)","role":"Technical support"},{"name":"World Bank","abbr":"WB","affiliation":"The World Bank Group (WBG)","role":"Technical support"},{"name":"Food and Agriculture Organization of the United Nations","abbr":"FAO","affiliation":"United Nations (UN)","role":"Technical support"},{"name":"National Population Commision","abbr":"NPC","affiliation":"Federal Government of Nigeria (FGN)","role":"Technical support"}],"copyright":"(c) 2024, National Bureau of Statistics","funding_agencies":[{"name":"The World Bank Group","abbr":"WBG","role":"Financial assistance"}]},"distribution_statement":{"contact":[{"name":"Prince Adeyemi Adeniran","affiliation":"National Bureau of Statistics (NBS)","email":"sg@nigerianstat.gov.ng","uri":"www.nigerianstat.gov.ng"},{"name":"Mr. Fafunmi E.A","affiliation":"National Bureau of Statistics (NBS)","email":"biyifafunmi@nigerianstat.gov.ng","uri":"www.nigerianstat.gov.ng"},{"name":"Mr. David Babalola","affiliation":"National Bureau of Statistics (NBS)","email":"dababalola@nigerianstat.gov.ng","uri":"www.nigerianstat.gov.ng"},{"name":"Mr. Mustapha","affiliation":"National Bureau of Statistics (NBS)","email":"mdazeez@nigerianstat.gov.ng","uri":"www.nigerianstat.gov.ng"},{"name":"Mr. Bishop Ohios","affiliation":"National Bureau of Statistics (NBS)","email":"bishopohios@yahoo.com","uri":"www.nigerianstat.gov.ng"}]},"series_statement":{"series_name":"Agricultural Census [ag\/census]"},"version_statement":{"version":"v1.0: Edited, anonymized microdata","version_date":"2022-04-23","version_notes":"This dataset is the anonymized version of the cleaned dataset of the 2022 National Agricultural Sample Census Ccommunity listing."},"study_info":{"keywords":[{"keyword":"Community","vocab":"","uri":""},{"keyword":"Infrastructure","vocab":"","uri":""},{"keyword":"Crops","vocab":"","uri":""},{"keyword":"Livestock","vocab":"","uri":""},{"keyword":"Fishery","vocab":"","uri":""},{"keyword":"Disaster","vocab":"","uri":""},{"keyword":"farmer","vocab":"","uri":""},{"keyword":"Listing","vocab":"","uri":""}],"topics":[{"topic":"Infrastructures","vocab":"World Bank","uri":""},{"topic":"Disaster","vocab":"World Bank","uri":""},{"topic":"Shocks","vocab":"World Bank","uri":""},{"topic":"Agricultural Production","vocab":"World Bank","uri":""},{"topic":"Labour","vocab":"World Bank","uri":""}],"abstract":"NASC is an exercise designed to fill the existing data gap in the agricultural landscape in Nigeria. It is a comprehensive enumeration of all agricultural activities in the country, including crop production, fisheries, forestry, and livestock activities. The implementation of NASC was done in two phases, the first being the Listing Phase, and the second is the Sample Survey Phase. Under the first phase, enumerators visited all the selected Enumeration Areas (EAs) across the Local Government Areas (LGAs) and listed all the farming households in the selected enumeration areas  and collected the required information. The scope of information collected under this phase includes demographic details of the holders, type of agricultural activity (crop production, fishery, poultry, or livestock), the type of produce or product (for example: rice, maize, sorghum, chicken, or cow), and the details of the contact persons. The listing exercise was conducted concurrently with the administration of a Community Questionnaire, to gather information about the general views of the communities on the agricultural and non-agricultural activities through focus group discussions.\n\nThe main objective of the listing exercise is to collect information on agricultural activities at household level in order  to provide a comprehensive frame for agricultural surveys.  The main objective of the community questionnaire is to obtain information about the perceptions of the community members on the agricultural and non-agricultural activities in the community.\n\nAdditional objectives of the overall NASC program include the following:\n\u00b7\tTo provide data to help the government at different levels in formulating policies on agriculture aimed at attaining food security and poverty alleviation\n\u00b7\tTo provide data for the proposed Gross Domestic Product (GDP) rebasing","coll_dates":[{"start":"2022-07-06","end":"2022-09-09","cycle":""}],"nation":[{"name":"Nigeria","abbreviation":"NGA"}],"geog_coverage":"Communities (in Enumerated Areas).","analysis_unit":"Community","universe":"The population units are communities encompassing the designated enumeration areas, where household listing was performed.","data_kind":"Census\/enumeration data [cen]","notes":"The community listing component of National Agricultural Sample Census (NASC) covered the following subject areas:\n  \u2022  Identification of the community\n  \u2022  Respondent Characteristics (Name, Sex, age)\n  \u2022  Agricultural Activities in the Community\n  \u2022  Disasters and Shocks\n  \u2022  Community Infrastructure and Transportation\n  \u2022  Community Organizations\n  \u2022  Community Resources Management\n  \u2022  Land Prices and Credit\n  \u2022  Community Key Events\n  \u2022  Labour"},"method":{"data_collection":{"data_collectors":[{"name":"National Bureau of Statistics","abbr":"NBS","role":"","affiliation":"Federal Government of Nigeria (FGN)"}],"sampling_procedure":"Focus group interviews were performed in communities overlapping with in the EAs selected for the extended listing operation. Accordingly, a focus group discussion in a total of 26,555 communities were undertaken to administer the community level questionnaire. It is important to note here that the results from the community survey are unweighted results and all the tables produced from the community level data are only from the 26,555 communities interviewed.","coll_mode":["Computer Assisted Personal Interview [capi]"],"research_instrument":"The NASC community  listing questionnaire served as a meticulously designed instrument administered within every community selected to gather comprehensive data. It encompassed various aspects such as agricultural activities in the community, infrastructures, disaster, etc. The questionnaire was structured into the following sections:\n\n  \u2022  Identification of the community\n  \u2022  Respondent Characteristics (Name, Sex, age)\n  \u2022  Agricultural Activities in the Community\n  \u2022  Disasters and Shocks\n  \u2022  Community Infrastructure and Transportation\n  \u2022  Community Organizations\n  \u2022  Community Resources Management\n  \u2022  Land Prices and Credit\n  \u2022  Community Key Events\n  \u2022  Labour","sources":[{"name":"","origin":"","characteristics":""}],"coll_situation":"THE TRAINING OF FIELD STAFF\n\nThe NASC training was conducted at two levels. The first level was a national level training-of-trainers (ToT), which took place at the Public Service Institute in Abuja. The training lasted for 5 days (the 20th-24th of June 2022). The last day of the training was utilized for field practice, where the trainees were taught on how to locate enumeration areas using the pointer in the Google Earth application to navigate and trace the boundaries of the EA, and collect information on the buildings and households in the EA.\n\nParticipants at the first level of training included the following:\n \u00b7 Trainers\/Monitors (National Bureau of Statistics (NBS), Federal Ministry of Agriculture and Food Security (FMAFS) (formally Federal Ministry of Agriculture and Rural Development (FMARD)) and the National Population Commission (NPC)).\n \u00b7 State Officers (NBS)\n \u00b7 Coordinators (NBS, FMAFS  AND NPC)\n \u00b7 Facilitators (NBS)\n\nThe second level training was the Training of Enumerators (ToE), which took place in all the 36 states and the Federal Capital Territory (FCT). There were eighty-two (82) training centers nationwide. The state-level trainings were held over a period of six days (29th of June-5th July, 2022) including five days of training, and one day of field tests.  \n\nParticipants at the state training level include the following:\n \u00b7 Enumerators\/Interviewers (NBS, FMAFS (formally FMARD), State Agriculture Development Programme (ADP), State Bureaus of Statistics\/State Statistical Agencies (SBS\/SSA)\n \u00b7 NBS State Officers\n \u00b7 NBS Zonal Controllers\n \u00b7 Trainers\/Monitors\n \u00b7 Coordinators\n \u00b7 Statistician General of State Bureau of Statistics\/Directors of State Statistical Agency \n \u00b7 Staff of State Ministry of Agriculture\n \u00b7 Independent Monitors\n\n\nDATA COLLECTION\n\nTwo teams were constituted in each LGA. A team comprised of one team lead and one teammate. Permanent field staff of National Bureau of Statistics (NBS) served mostly as team leads. Enumerators were also drawn from relevant stakeholders from Ministries, Departments and Agencies (MDAs), both at the federal and state level. The two enumerators had separate CAPI devices and they both served as listers and mappers.  The two interviewers worked simultaneously in the same EA. They located together the boundaries of the EA and identified all of the buildings therein and numbered the building accordingly. Following this, they split the buildings into two, with one interviewer covering the buildings with odd numbers, while other covered the buildings with even numbers. This was to avoid omission or double counting within the EAs. Interviewers were expected to spend two and a half days for both the household listing and administration of community questionnaires in each EA. A team was mandated to cover twenty (20) EAs, with the total number of days allotted for fieldwork at fifty (50) days. \n\n \nORGANIZATION OF FIELD WORK\n\nOn arrival at the EA, the enumerators visited the community head(s) to explain their mission to the community and made arrangement  on how to go about the administration of the questionnaires. The two enumerators first did the numbering of all relevant structures within the EA, and thereafter, carried out the listing exercise accordingly. One enumerator listed the structures with odd numbers while the second enumerator listed all the structures with even numbers.","act_min":"Adequate physical monitoring and spot-checks were carried out by senior-level officers of the Bureau, Federal Ministry of Agriculture and Food Security (FMAFS), and National Population Commission (NPC).\nThe monitoring of fieldwork was done in three phases, the first round started concurrently with the commencement of data collection to ensure a smooth start to the data collection effort. The second round of monitoring was in the middle of the fieldwork stage, while the third occurred towards the end of the fieldwork.\nThe activities carried out included:\n\u00b7\tVisitation of different teams in various LGAs with special attention to the EAs that were broken into segments.\n\u00b7\tResolving observable challenges that called for urgent attention.\n\u00b7\tCollaborating with the state officers to compile all EAs that required replacement, reach out to enumerators, and discuss observations and comments from the World Bank and FAO, and proffer solutions where necessary.\n\u00b7\tIdentification of enumerators who did not properly classify agricultural and non-agricultural enterprises, for better understanding and proper classification.\n\u00b7\tSpot-checking of  EAs where the number of households listed by the enumerators was less than what the NPC listed.\n\u00b7\tRandomly visited households where enumerators listed over 100 members of a household to confirm the true scenario of the household membership using the interviewer keys.\n\u00b7\tOnline real-time data monitoring and immediate feedback.","weight":"Statistics in the community listing microdata are unweighted","cleaning_operations":"Data processing of the NASC household listing survey included checking for inconsistencies, incompleteness, and outliers. Data editing and cleaning was carried out electronically using the Stata software package. In some cases where data inconsistencies were found a call back to the household was carried out. A pre-analysis tabulation plan was developed and the final tables for publication were created using the Stata software package."},"method_notes":"STATISTICAL DISCLOSURE CONTROL\nTo safeguard the confidentiality of household information, rigorous anonymization techniques have been employed on the edited microdata. This process involved the removal of all direct identifiers, such as names, GPS locations, and specific addresses. Additionally, geographic information below the state level has been excised to prevent any potential identification of communities based on their location.\nFurthermore, a masking technique (local suppression algorithms) has been implemented on the quasi-identifying variables using the R package sdcMicro. This ensures that even subtle patterns or combinations of variables that could potentially lead to re-identification are obfuscated, thereby enhancing the overall security and privacy of the dataset."},"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 (NBS)","affiliation":"Federal Government of Nigeria (FGN)","email":"feedback@nigerianstat.gov.ng","uri":"www.nigerianstat.gov.ng"}],"cit_req":"National Bureau of Statistics, Nigeria, National Agricultural Sample Census (NASC 2022S)-v1.0","conditions":"A comprehensive data access policy is been developed by NBS, however section 27 of the Statistical Act 2007 outlines 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"}