{"type":"survey","doc_desc":{"idno":"DDI_NGA_2023_GHSP-W5_v01_M","producers":[{"name":"Development Economics Data Group","abbr":"DECDG","affiliation":"The World Bank","role":"Documentation of the DDI"}],"prod_date":"2024-11-18","version_statement":{"version":"Version 01 (November 2024)"}},"study_desc":{"title_statement":{"idno":"NGA_2023_GHSP-W5_v01_M","title":"General Household Survey, Panel 2023-2024","sub_title":"Wave 5","alternate_title":"GHS-Panel Wave 5 2023-24"},"authoring_entity":[{"name":"National Bureau of Statistics (NBS)","affiliation":"Federal Government of Nigeria"}],"production_statement":{"producers":[{"name":"The World Bank","abbr":"WB","affiliation":"","role":"Collaborated in the implementation of the survey"}],"funding_agencies":[{"name":"Bill and Melinda Gates Foundation","abbr":"BMGF","role":"Funded the study"},{"name":"Federal Government of Nigeria","abbr":"Govt NGA","role":"Funded the study"},{"name":"The World Bank","abbr":"WB","role":"Funded the study"}]},"distribution_statement":{"contact":[{"name":"Biyi Fafunmi, Director, Agriculture and Business Enterprises Statistics Department","affiliation":"National Bureau of Statistics","email":"biyifafunmi@nigerianstat.gov.ng","uri":""},{"name":"LSMS Data Manager","affiliation":"The World Bank","email":"lsms@worldbank.org","uri":""}]},"series_statement":{"series_name":"Living Standards Measurement Study [hh\/lsms]","series_info":"The Nigeria General Household Survey panel component (GHS-Panel) is part of a larger, regional project in Sub-Saharan Africa. The GHS-Panel is the result of a partnership that the NBS has established with the Bill and Melinda Gates Foundation (BMGF) and the World Bank (WB). The ability to follow the same households over time makes the GHS-Panel a powerful tool for studying and understanding income generating activities and socio-economic outcomes in Nigeria. The GHS-Panel is the first panel survey to be carried out by NBS.\n\nThe 2023\/24 GHS-Panel is the fifth round of the survey with prior rounds conducted in 2010\/11, 2012\/13, 2015\/16, and 2018\/19."},"version_statement":{"version":"Version 01: Edited, anonymized dataset for public distribution"},"study_info":{"abstract":"The General Household Survey-Panel (GHS-Panel) is implemented in collaboration with the World Bank Living Standards Measurement Study (LSMS) team as part of the Integrated Surveys on Agriculture (ISA) program. The objectives of the GHS-Panel include the development of an innovative model for collecting agricultural data, interinstitutional collaboration, and comprehensive analysis of welfare indicators and socio-economic characteristics. The GHS-Panel is a nationally representative survey of approximately 5,000 households, which are also representative of the six geopolitical zones. The 2023\/24 GHS-Panel is the fifth round of the survey with prior rounds conducted in 2010\/11, 2012\/13, 2015\/16 and 2018\/19. The GHS-Panel households were visited twice: during post-planting period (July - September 2023) and during post-harvest period (January - March 2024).","coll_dates":[{"start":"2023-07","end":"2023-09","cycle":"Post-Planting"},{"start":"2024-01","end":"2024-03","cycle":"Post-Harvest"}],"nation":[{"name":"Nigeria","abbreviation":"NGA"}],"geog_coverage":"National","analysis_unit":"\u2022 Households\n\u2022 Individuals\n\u2022 Agricultural plots\n\u2022 Communities","universe":"The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.","data_kind":"Sample survey data [ssd]","notes":"The 2023-2024 Nigeria General Household Survey - Panel (GHS-Panel, Wave 5) covered the following topics:\n\nHOUSEHOLD\n\u2022 Household identification including geographic area identification information \n\u2022 Household Roster\n\u2022 Migration in the Last 12 Months\n\u2022 Migration in the Past 10 Years\n\u2022 Absentee Roster (Non-Household Members)\n\u2022 Migration Aspirations\n\u2022 Remittances\n\u2022 Health\n\u2022 Labour\n\u2022 Work Activities in the Last 12 Months\n\u2022 Savings and Insurance \n\u2022 ICT \u2013 Mobile Phone Banking \n\u2022 Credit\n\u2022 Meals Away from Home\n\u2022 Food Consumption and Expenditure\n\u2022 Aggregate Food Consumption\n\u2022 Non-food Expenditure\n\u2022 Petrol\n\u2022 Food Security\n\u2022 Household Assets\n\u2022 Other Household Income\n\u2022 Education\n\u2022 Early Child Development\n\u2022 Childcare\n\u2022 Subjective Skills\n\u2022 Time Use\n\u2022 Dietary Diversity\n\u2022 Anthropometry\n\u2022 Non-farm Enterprises \n\u2022 Housing\n\u2022 Food Consumption Shocks\n\u2022 Safety Nets\n\u2022 Economic Shocks\n\nAGRICULTULRE\n\u2022 Household identification including geographic area identification information \n\u2022 Plot Roster\n\u2022 Land Inventory\n\u2022 Household Labour\n\u2022 Hired and Exchange Labour\n\u2022 Seed Acquisition\n\u2022 Planted Crops\n\u2022 Animal Holdings\n\u2022 Animal Costs\n\u2022 Animal Power and Dung\n\u2022 Milk Production\n\u2022 Egg Production\n\u2022 Extension Services \n\u2022 Extension Sources\n\u2022 Digital Farming Information\n\u2022 Input Use on Plot\n\u2022 Input Acquisition\n\u2022 Field Crop Harvest\n\u2022 Crop Disposition\n\u2022 Tree and Permanent Crop Harvest\n\u2022 Post-Harvest Labour - Household\n\u2022 Post-Harvest Labour \u2013 Hired and Exchange\n\u2022 Agricultural Capital\n\nCOMMUNITY\n\u2022 Community Identification\n\u2022 Respondents Characteristics\n\u2022 Food Prices\n\u2022 Labour\n\u2022 Land Prices and Credit\n\u2022 Community Infrastructure and Transportation\n\u2022 Community Organizations\n\u2022 Community Resource Management\n\u2022 Social Norms\n\u2022 Community Changes\n\u2022 Community Key Events\n\u2022 Community Needs, Actions, and Achievements\n\u2022 Expectations on Climate Extremes and Past Experience"},"method":{"data_collection":{"data_collectors":[{"name":"National Bureau of Statistics","abbr":"NBS","role":"","affiliation":"Federal Government of Nigeria"}],"sampling_procedure":"The original GHS\u2011Panel sample was fully integrated with the 2010 GHS sample. The GHS sample consisted of 60 Primary Sampling Units (PSUs) or Enumeration Areas (EAs), chosen from each of the 37 states in Nigeria. This resulted in a total of 2,220 EAs nationally. Each EA contributed 10 households to the GHS sample, resulting in a sample size of 22,200 households. Out of these 22,200 households, 5,000 households from 500 EAs were selected for the panel component, and 4,916 households completed their interviews in the first wave.\n\nAfter nearly a decade of visiting the same households, a partial refresh of the GHS\u2011Panel sample was implemented in Wave 4 and maintained for Wave 5. The refresh was conducted to maintain the integrity and representativeness of the sample. The refresh EAs were selected from the same sampling frame as the original GHS\u2011Panel sample in 2010. A listing of households was conducted in the 360 EAs, and 10 households were randomly selected in each EA, resulting in a total refresh sample of approximately 3,600 households. \n\nIn addition to these 3,600 refresh households, a subsample of the original 5,000 GHS\u2011Panel households from 2010 were selected to be included in the new sample. This \u201clong panel\u201d sample of 1,590 households was designed to be nationally representative to enable continued longitudinal analysis for the sample going back to 2010. The long panel sample consisted of 159 EAs systematically selected across Nigeria\u2019s six geopolitical zones.\n\nThe combined sample of refresh and long panel EAs in Wave 5 that were eligible for inclusion consisted of 518 EAs based on the EAs selected in Wave 4. The combined sample generally maintains both the national and zonal representativeness of the original GHS\u2011Panel sample.","sampling_deviation":"Although 518 EAs were identified for the post-planting visit, conflict events prevented interviewers from visiting eight EAs in the North West zone of the country. The EAs were located in the states of Zamfara, Katsina, Kebbi and Sokoto. Therefore, the final number of EAs visited both post-planting and post-harvest comprised 157 long panel EAs and 354 refresh EAs. The combined sample is also roughly equally distributed across the six geopolitical zones.","coll_mode":["Computer Assisted Personal Interview [capi]"],"research_instrument":"The GHS-Panel Wave 5 consisted of three questionnaires for each of the two visits. The Household Questionnaire was administered to all households in the sample. The Agriculture Questionnaire was administered to all households engaged in agricultural activities such as crop farming, livestock rearing, and other agricultural and related activities. The Community Questionnaire was administered to the community to collect information on the socio-economic indicators of the enumeration areas where the sample households reside. \n\nGHS-Panel Household Questionnaire: The Household Questionnaire provided information on demographics; education; health; labour; childcare; early child development; food and non-food expenditure; household nonfarm enterprises; food security and shocks; safety nets; housing conditions; assets; information and communication technology; economic shocks; and other sources of household income. Household location was geo-referenced in order to be able to later link the GHS-Panel data to other available geographic data sets (forthcoming). \n\nGHS-Panel Agriculture Questionnaire: The Agriculture Questionnaire solicited information on land ownership and use; farm labour; inputs use; GPS land area measurement and coordinates of household plots; agricultural capital; irrigation; crop harvest and utilization; animal holdings and costs; household fishing activities; and digital farming information. Some information is collected at the crop level to allow for detailed analysis for individual crops. \n\nGHS-Panel Community Questionnaire: The Community Questionnaire solicited information on access to infrastructure and transportation; community organizations; resource management; changes in the community; key events; community needs, actions, and achievements; social norms; and local retail price information.\n\nThe Household Questionnaire was slightly different for the two visits. Some information was collected only in the post-planting visit, some only in the post-harvest visit, and some in both visits. \n\nThe Agriculture Questionnaire collected different information during each visit, but for the same plots and crops. \n\nThe Community Questionnaire collected prices during both visits, and different community level information during the two visits.","coll_situation":"ORGANIZATION OF FIELDWORK: Data were collected by teams consisting of a supervisor and between 2 to 5 interviewers. The number of teams varied from state to state depending on the number of EAs identified using Wave 4 data. The teams moved in a roving manner and data collection lasted for between 20 \u2013 30 days for each of the post-planting and post-harvest visits. \n\nThe GHS-Panel Wave 5 was administered in two visits: post-planting (July - September 2023) and post-harvest (January \u2013 March 2024). A tracking phase was conducted after both visits in October-November 2023 and April-May 2024 to interview long panel households that had moved from their location in the previous visit (Wave 4 post-harvest) or any household that had moved between the post-planting and post-harvest visits in Wave 5. \n\nAmong the GHS-Panel Wave 5 enumeration areas (EAs), 106 EAs were selected to participate in a mixed-mode study for measuring agricultural labor and inputs. This study targeted 937 households in these randomly selected agricultural\/rural EAs in Nigeria. Phones and sim cards were distributed to these households during the post-planting visit. The households that agreed to participate in the study were called each month (4 rounds of phone calls in total) and information about the inputs use of up to three plots were collected in each call using the days since the last completed interview as a reference period. During the post-harvest, the reference period used for the targeted households was the last completed interview (including the monthly phone calls received in between the post-planting and post-harvest visit) in the modules (A2a) Household on-plot labour, (A2b) Hired on-plot labour, and (11c2) Input use in plots. Additional files will be included as part of the GHS-Panel data that include the data collected for these modules during the 4 rounds of phone calls. \n\nGIFTS TO HOUSEHOLD: As a show of appreciation for the panel households\u2019 continued participation, all households that were located, were given a gift (even if they refused to participate). Gifts were given during both the post-planting and post-harvest visits and consisted of different types of food flask (container for storing food). Additionally, the gifts (food flasks) were presented to the Community leader and their deputy to show appreciation for their participation to the community survey as well as for facilitating the interviews with the households within their community. Recipients were very appreciative of the gifts and in many cases were essential to ensure continued participation in the panel.\n\nPRE-LOADED INFORMATION: Basic information on every household was pre-loaded in the CAPI assignments for each interviewer. The information was pre-loaded to (1) assist interviewers in locating and identifying the household and (2) ensure that each pre-loaded unit (person, plot, etc.) is properly addressed and easily matched to previous visits. Basic household information (location, household head name, phone number, etc.) was pre-loaded in both visits for all households.\n\nIn addition, in the post-planting visit, the list of individuals from Wave 4 and their basic characteristics were uploaded for households. This helped maintain the panel of individuals and ensure the status of each individual was confirmed in Wave 4. In the post-harvest visit, several information was pre-loaded that was collected in the post-planting visit. This included (1) the list of individuals and their basic characteristics, (2) the list of plots of land and their basic characteristics and (3) the list of crops cultivated on each plot of land.\n\nFIELDWORK MONITORING AND EVALUATION: As an additional aid to ensuring good quality data, extensive monitoring was done of the field work. There were three levels of monitoring and evaluation. The first level of monitoring followed immediately after the zonal training. One (1) monitor was assigned to 2 states and all states were covered, including Federal Capital Authority, Abuja (FCT, Abuja). This monitoring was carried out by the technical team from the zonal training (i.e. the trainers) which included individuals from the Head Office of NBS. The second monitoring was carried out by NBS state officers and zonal controllers and took place over an extended period during the fieldwork. The third and final monitoring took place no later than a week before the end of fieldwork. The team involved in the third monitoring was selected from the team that carried out the first monitoring. \n\nDuring first and second monitoring, the monitors made sure that proper compliance with the procedures as contained in the manual were followed, effected necessary corrections and tackled problems that arose. Where problems were found, these were corrected either directly or through a revisit to the household for verification of information or for further information.","weight":"As with any probability sample survey, sampling weights must be calculated and applied to produce estimates that are representative of the survey domains. The weights primarily reflect the inverse probability of inclusion of the interviewed households into the sample with adjustments to account for nonresponse\/attrition and calibration to auxiliary data on population estimates. This section describes the different sets of weights calculated and included in the GHS-Panel wave 5 data. Three different weights were prepared for wave 5 of the GHS-Panel reflecting different subsamples and tailored to specific analytical objectives. \n\nAs described above, there are two main components of the wave 5 sample: the refresh and the long panel samples. The long panel sample is intended to be analysed independently since it constitutes a panel of households that extends back to wave 1. It therefore needs a dedicated weight. The other analytical sample considered for the GHS-Panel is the pooled or combined sample of longitudinal households and refresh households. The pooled sample will also of course need a separate weight.\n\nIn addition to the analytical samples, different weights are provided which are tailored to cross-sectional and longitudinal analysis using the GHS-Panel wave 5 data. While the GHS-Panel is primarily designed as a longitudinal survey and thus with longitudinal analysis as the primary goal, the survey could also provide valuable cross-sectional insights. Separate weights are provided which attempt to satisfy these two objectives\n\nThus, the three different sets of weights calculated and included in the GHS-Panel are:\n 1. Longitudinal weights to be applied to the long panel sample: used for analysis that seeks to track dynamics within long panel households across the 5 waves of the GHS-Panel\n 2. Longitudinal weights to be applied to the combined sample: used for analysis that seeks to track dynamics within all wave 5 households (long panel + refresh) between waves 4 and 5\n 3. Cross-sectional weights to be applied to the combined sample: used for analysis that seeks to provide representative estimates of the current population of Nigerian households at the time of wave 5 (2023\/24).\n\nSlightly different though closely related approaches were applied to calculate these three different weights. When calculating all three weights, only households successfully interviewed in both visits of wave 5 were considered.\n\nThe longitudinal weights for both the long panel and combined samples were constructed in the following stages:\n 1. The original weights calculated in wave 4 for each sample served as the base weights\n\n 2. An adjustment was performed to attempt to correct for and limit any attrition or nonresponse bias between wave 4 and wave 5. The adjustment was performed via a modelled response propensity using a logit model:\n\nln[(p(x_i))\/(1-p(x_i))]= a+ \u00df_1 X_i  \n\nwhere p(x_i) is the probability that household i was selected for the long-panel sample and successfully interviewed and X_i is a vast set of household characteristics from wave 1 which are potentially correlated with the probability of response . For the long panel sample, characteristics observed in wave 1 were used in the response propensity model while for the combined sample characteristics from wave 4 were used. Following estimation of the logit model, the predicted probability of each household being interviewed, p ^(x_i ), is derived using the model parameters. In principle, the inverse of the predicted probability could serve as the adjustment factor applied to the weights. However, in practice the unit-level inverse predicted probability is not taken as the adjustment factor, but rather the units are sorted into response (i.e., coverage) classes and the adjustment applied uniformly within those response classes . Response classes were created according to the decile of predicted probability (i.e., 10 classes) within each Zone and applied a conversion factor that takes the ratio of the sum of base weights for all targeted households over the sum of base weighs for the successfully interviewed households. The adjustment factor is then applied to the base weights to arrive at the adjusted weight.\n\n 3. The weights were calibrated to reflect the distribution of the target population. For both the long panel and combined samples, the longitudinal weights were calibrated to (1) reflect the total number of households in each Zone in 2010 (i.e. during the first wave of the GHS-Panel).\n\n 4. Lastly, for the combine sample, outlier weights were truncated applying lower and upper bounds that correspond to the maximum and minimum values of the wave 4 weights (while also maintaining the calibrated parameters in step 3). No trimming was deemed necessary for the longitudinal long panel weights.\n\nThe cross-sectional weights were constructed in three stages:\n 1. The original weights calculated in wave 4 for the combined sample served as the base weights\n 2. The base weights were then adjusted for non-response using the same response propensity modelling approach described above for the longitudinal weights.\n 3. The weights were calibrated to reflect the distribution of the underlying population at the time of the wave 5 survey. Official population projections for 2023 were used as calibration constraints reflecting the individual population of males and females in each state. The population estimates used are displayed in Table 3.2.1 of the Basic Information Document.\n\nAll three weights can be found in the cover page data files for both the post-planting (secta_plantingw5.dta) and post-harvest (secta_harvestw5.dta). The variable names in both data files are wt_wave5 for the longitudinal weights applied to the combined samples, wt_longpanel_wave5 for the long-panel longitudinal weights, and wt_cross_wave5 for the cross-sectional weights.","cleaning_operations":"CAPI: Wave five exercise was conducted using Computer Assisted Person Interview (CAPI) techniques. All the questionnaires (household, agriculture, and community questionnaires) were implemented in both the post-planting and post-harvest visits of Wave 5 using the CAPI software, Survey Solutions. The Survey Solutions software was developed and maintained by the Living Standards Measurement Unit within the Development Economics Data Group (DECDG) at the World Bank. Each enumerator was given a tablet which they used to conduct the interviews. Overall, implementation of survey using Survey Solutions CAPI was highly successful, as it allowed for timely availability of the data from completed interviews. \n\nDATA COMMUNICATION SYSTEM: The data communication system used in Wave 5 was highly automated. Each field team was given a mobile modem which allowed for internet connectivity and daily synchronization of their tablets. This ensured that head office in Abuja had access to the data in real-time. Once the interview was completed and uploaded to the server, the data was first reviewed by the Data Editors. The data was also downloaded from the server, and Stata dofile was run on the downloaded data to check for additional errors that were not captured by the Survey Solutions application. An excel error file was generated following the running of the Stata dofile on the raw dataset. Information contained in the excel error files were then communicated back to respective field interviewers for their action. This monitoring activity was done on a daily basis throughout the duration of the survey, both in the post-planting and post-harvest.\n\nDATA CLEANING: The data cleaning process was done in three main stages. The first stage was to ensure proper quality control during the fieldwork. This was achieved in part by incorporating validation and consistency checks into the Survey Solutions application used for the data collection and designed to highlight many of the errors that occurred during the fieldwork.\n\nThe second stage cleaning involved the use of Data Editors and Data Assistants (Headquarters in Survey Solutions). As indicated above, once the interview is completed and uploaded to the server, the Data Editors review completed interview for inconsistencies and extreme values. Depending on the outcome, they can either approve or reject the case. If rejected, the case goes back to the respective interviewer\u2019s tablet upon synchronization. Special care was taken to see that the households included in the data matched with the selected sample and where there were differences, these were properly assessed and documented. The agriculture data were also checked to ensure that the plots identified in the main sections merged with the plot information identified in the other sections. Additional errors observed were compiled into error reports that were regularly sent to the teams. These errors were then corrected based on re-visits to the household on the instruction of the supervisor. The data that had gone through this first stage of cleaning was then approved by the Data Editor. After the Data Editor\u2019s approval of the interview on Survey Solutions server, the Headquarters also reviews and depending on the outcome, can either reject or approve.\n\nThe third stage of cleaning involved a comprehensive review of the final raw data following the first and second stage cleaning. Every variable was examined individually for (1) consistency with other sections and variables, (2) out of range responses, and (3) outliers. However, special care was taken to avoid making strong assumptions when resolving potential errors. Some minor errors remain in the data where the diagnosis and\/or solution were unclear to the data cleaning team."},"analysis_info":{"response_rate":"Since Wave 1, every effort has been made to track and interview households that had moved away from their original EA and keep attrition to a minimum. These efforts continued in Wave 5, particularly for the long panel sample. Households that had moved away from their previous location were interviewed in a separate tracking phase following both the post-planting and post-harvest visits. Of the 1,590 households interviewed in Wave 1 within these 159 EAs, 1,376 households were successfully interviewed in both visits of Wave 5. This implies an overall attrition rate since 2010 across these EAs of 13.5 percent. However, attrition is highly variable across zones and sectors. The highest attrition was found in rural EAs in South West (28.8 percent) and the lowest attrition in rural EAs in North Central (5.3 percent). Attrition was also higher among urban (17.8 percent) than rural (11.4 percent) households. Overall, 168 long panel households had moved and were interviewed in their new location (over 10 percent of the sample). The highest number of households that had moved was in the urban area in South West (47 households, accounting for 25.7 percent of the sample)."}},"data_access":{"dataset_use":{"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nNational Bureau of Statistics. Nigeria General Household Survey, Panel (GHS-Panel) Wave 5 2023-2024. Dataset downloaded from [source] on [date].","conditions":"Before being granted access to the dataset, all users have to formally agree:\n1. To make no copies of any files or portions of files to which s\/he is granted access except those authorized by the data depositor.\n2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files.\n3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her\/his analysis will be immediately brought to the attention of the data depositor.","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","data_files":[{"file_id":"F1","file_name":"secta_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section Cover. This section captures household-level information. The dataset includes household identifiers, enumerator and supervisor identifiers, the date and time of the interview, questions to determine whether the household is engaged in agricultural activities, and observation notes recorded by the enumerator during the interview.","case_count":"5067","var_count":"35","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F2","file_name":"sect1_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 1 (Household Roster). This section captures a roster of individuals living in the household, including their relationship to the household head, gender, year of birth, age, marital status, spouse identification, religion, parental status, and details for new members such as the date and reason for joining the household, as well as migration information.","case_count":"32009","var_count":"122","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F3","file_name":"sect1a_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 1A (Migration Past 12 Months). This section captures individual-level information. This section dataset contains the migration experiences of current household members over the past 12 months, including the reasons for migration, destinations, and purposes of their absence.","case_count":"27421","var_count":"57","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F4","file_name":"sect1b_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 1B (Migration Past 10 Years). This section captures individual-level information. This dataset contains information on the migration experiences of current household members over the past 10 years, excluding any migration episodes from the past 12 months that have already been reported in Section 1A.","case_count":"27421","var_count":"44","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F5","file_name":"sect1ca_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 1C (Absentees, question 0a). This section captures household-level information. This dataset includes a filter variable that identifies households with members who have moved away.","case_count":"4771","var_count":"7","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F6","file_name":"sect1c_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 1C (Absentees, questions 2-17). This section collects information on former household members who have migrated within or outside the country in the past 10 years and are not current household members.","case_count":"304","var_count":"34","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F7","file_name":"sect1d_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 1D (Migration Aspirations). This section records individual-level information on migration desires, plans, and unsuccessful attempts among household members aged 15 years and older.","case_count":"27421","var_count":"58","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F8","file_name":"sect1e_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 1E (Remittances). This section records individual-level information on remittances received, both from abroad and within Nigeria.","case_count":"27421","var_count":"22","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F9","file_name":"sect3_plantingw5.dta","description":"Data collected through Post Planting Household Questionnaire Section 3 (Health). This section records individual-level information on general health status, healthcare utilization and costs, functioning and disability status, and the use of bed nets.","case_count":"27421","var_count":"64","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F10","file_name":"sect4a_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 4A (Labour). This section records individual-level information on labor market participation over the past 7 days, including temporary absences, job search activities, and wage work (covering benefits, work hours, and payment).","case_count":"27421","var_count":"135","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F11","file_name":"sect4b_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 4B (Work Activities). This section records individual-activity level information on the work activities of household members over the past 12 months.","case_count":"712946","var_count":"41","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F12","file_name":"sect5a1_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 5A (Savings and Insurance, questions 1-7). This section records individual-level information on savings practices and financial practices.","case_count":"27421","var_count":"22","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F13","file_name":"sect5a2_plantingw5.dta","description":"Data collected through Post Planting Household Questionnaire Section 5A (Savings and Insurance, questions 16-17c). This section records household-level information on insurance coverage.","case_count":"4771","var_count":"23","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F14","file_name":"sect5b_plantingw5.dta","description":"Data collected through Post Planting Household Questionnaire Section 5B (ICT). This section records individual-level information on access to mobile phones and Internet usage.","case_count":"27421","var_count":"26","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F15","file_name":"sect5c1_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 5C (Credit, questions 1, 23 and 24). This section records household-level information on attempts to borrow money, including reasons for not doing so.","case_count":"4771","var_count":"19","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F16","file_name":"sect5c2_plantingw5.dta","description":"Data collected through Post Planting Household Questionnaire Section 5C (Credit, questions 2b-22). This section records household-loan level information on credit history including loans received, loans pending, and loan refusals.","case_count":"683","var_count":"42","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F17","file_name":"sect6a_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 6A (Meals away from home). This section records household-meal level information on the value of food consumed outside the home during the past 7 days.","case_count":"42939","var_count":"10","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F18","file_name":"sect6b_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 6B (Food Consumption). This section records household-food item level information on the quantity and value of food consumed within the household during the past 7 days, as well as the quantity and value of food purchased during the past 30 days.","case_count":"529470","var_count":"26","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F19","file_name":"sect6c_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 6C (Aggregate Food Consumption). This section records household-food item level information on the number of days the household consumed each food group item during the last 7 days.","case_count":"52481","var_count":"11","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F20","file_name":"sect7a_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 7 (Non-Food Expenditure, questions 1-2). This section records household-nonfood item level information on non-food expenditure during the last week.","case_count":"23855","var_count":"9","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F21","file_name":"sect7b_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 7 (Non-Food Expenditure, questions 3-4). This section records household-nonfood item level information on non-food expenditure during the last month.","case_count":"224237","var_count":"9","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F22","file_name":"sect7c_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 7 (Non-Food Expenditure, questions 5-6). This section records household-nonfood item level information on non-food expenditure during the last 12 months.","case_count":"305344","var_count":"9","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F23","file_name":"sect8_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 8 (Petrol). This section records household-level information on the experience of buying petrol over the past 30 days, including the quantity purchased, the cost, issues faced during the purchase, and reasons for buying it. It also captures awareness of the government\u2019s petrol subsidy program and support for its reform.","case_count":"4771","var_count":"29","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F24","file_name":"sect9_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 9 (Food Security). This section records household-level information on food security status of the household during the last 30 days\/last 12 months.","case_count":"4771","var_count":"45","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F25","file_name":"sect10_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 10 (Household Assets). This section records household-asset level information on durable goods currently possessed by the household.","case_count":"200382","var_count":"25","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F26","file_name":"sect11_plantingw5.dta","description":"Data collected through Post-Planting Household Questionnaire Section 11 (Other Household Income). This section records household-income level information on miscellaneous income received by the household.","case_count":"33397","var_count":"15","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F27","file_name":"sect11a_plantingw5.dta","description":"Data collected through Post-Planting Agriculture Questionnaire Section Cover. This section captures household-level information. The dataset includes household identifiers, enumerator and supervisor identifiers, the date and time of the interview, questions to determine whether the household is engaged in agricultural activities.","case_count":"4771","var_count":"21","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F28","file_name":"sect11a1_plantingw5.dta","description":"Data collected through Post-Planting Agriculture Questionnaire Section 11A1 (Plot Roster). This section captures a roster of all plots owned and\/or managed by the household, farmer estimated area, GPS measured area, GPS measured location of the plot, decision maker of the plot.","case_count":"9232","var_count":"23","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F29","file_name":"sect11b1_plantingw5.dta","description":"Data collected through Post-Planting Agriculture Questionnaire Section 11B (Land Inventory). This section records plot-level information on plot acquisition, tenure (legal title, ownership document), rental arrangement, sharecropping arrangement, use rights (collateral, inheritance).","case_count":"9232","var_count":"196","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F30","file_name":"sect11c1_plantingw5.dta","description":"Data collected through Post Planting Agriculture Questionnaire Section 11C1 (Household Labour, questions 0-0a). This section records household-level information on household labour that worked on the plot.","case_count":"3345","var_count":"8","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F31","file_name":"sect11c1a_plantingw5.dta","description":"Data collected through Post Planting Agriculture Questionnaire Section 11C1 (Household Labour, questions 1a-1d). This section records individual-plot level information on household labour that worked on the plot. Includes information on amount of time spent by each person.","case_count":"34923","var_count":"17","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F32","file_name":"sect11c1b_plantingw5.dta","description":"Data collected through Post Planting Agriculture Questionnaire Section 11C2 (Hired and Exchange Labour). This section records plot-level information on hired and free\/exchange labour that worked on the plot. Includes information on amount of time spent by each person-type and payments made to hired labour.","case_count":"4112","var_count":"64","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F33","file_name":"sect11e1_plantingw5.dta","description":"Data collected through Post Planting Agriculture Questionnaire Section 11E (Seed Acquisition, questions 1-15).   This section asks about the acquisition of the seeds that were used to plant the crops cultivated on the household PLOTS during this agricultural season. Information is captured at the SEED TYPE level \u2013 improved or traditional\/local.","case_count":"8210","var_count":"41","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F34","file_name":"sect11e2_plantingw5.dta","description":"Data collected through Post Planting Agriculture Questionnaire Section 11E (Seed Acquisition, questions 16-17). This section records household-level information on seed transportation costs.","case_count":"3314","var_count":"8","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F35","file_name":"sect11f_plantingw5.dta","description":"Data collected through Post Planting Agriculture Questionnaire Section 11F (Planted Field Crops). This section captures a roster of all the field and tree crops cultivated on the plot, seeds planted, last completed production of tree\/permanent crops, expected harvest.","case_count":"10606","var_count":"49","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F36","file_name":"sect11i_plantingw5.dta","description":"Data collected through Post Planting Agriculture Questionnaire Section 11I (Animal Holdings). This section records household-level information on farm animals owned by the household and commercial activity with these animals.","case_count":"3650","var_count":"71","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F37","file_name":"sect11j_plantingw5.dta","description":"Data collected through Post Planting Agriculture Questionnaire Section 11J (Animal Costs). This section records household-level information on livestock farmer caretaker activities and costs.","case_count":"2963","var_count":"70","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F38","file_name":"sect11k1_plantingw5.dta","description":"Data collected through Post Planting Agriculture Questionnaire Section 11K1 (Animal Power and Dung Sales). This section records household-level information on earnings from animal power and animal dung.","case_count":"2963","var_count":"19","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F39","file_name":"sect11k2_plantingw5.dta","description":"Data collected through Post Planting Agriculture Questionnaire Section 11K2 (Milk Production). This section records household-level information on the amount of production and commercial activity with milk.","case_count":"1738","var_count":"31","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F40","file_name":"sect11k3_plantingw5.dta","description":"Data collected through Post Planting Agriculture Questionnaire Section 11K3 (Egg Production). This section records household-level information on the amount of production and commercial activity with eggs.","case_count":"1080","var_count":"20","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F41","file_name":"sect11l1_plantingw5.dta","description":"Data collected through Post Planting Agriculture Questionnaire Section 11L1 (Extension Services). This section records household-level information on the main source (government and non-governmental) of agricultural advice.","case_count":"43908","var_count":"11","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F42","file_name":"sect11l2_plantingw5.dta","description":"Data collected through Post Planting Agriculture Questionnaire Section 11L2 (Extension Sources). This section records household-level information on the services provided by main source of agricultural advice. Includes frequency of visits and usefulness of the information provided.","case_count":"51228","var_count":"19","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F43","file_name":"sect12_plantingw5.dta","description":"Data collected through Post Planting Agriculture Questionnaire Section 12 (Digital Farming Information). This section records household-level information on the farmers access, use, and experience with digital farming services in the rainy season.","case_count":"4771","var_count":"222","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F44","file_name":"sectc_plantingw5.dta","description":"Data collected through Post Planting Community Questionnaire Section Cover. This section records community identifier variables, enumerator and supervisor identifiers, date and time of interview.","case_count":"518","var_count":"9","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F45","file_name":"sectc1_plantingw5.dta","description":"Data collected through Post Planting Community Questionnaire Section C1 (Respondents Characteristics). This section records respondent characteristics. Includes position in the community and education level.","case_count":"3218","var_count":"15","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F46","file_name":"sectc2_plantingw5.dta","description":"Data collected through Post Planting Community Questionnaire Section C2 (Food Prices). This section records prices of food items in the community.","case_count":"56277","var_count":"17","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F47","file_name":"sectc3a_plantingw5.dta","description":"Data collected through Post Planting Community Questionnaire Section C3 (Labour, questions 1-2b). This data records the activities for which individuals in this community hire labor.","case_count":"507","var_count":"10","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F48","file_name":"sectc3b_plantingw5.dta","description":"Data collected through Post Planting Community Questionnaire Section C3 (Labour, questions 2-12a). This data records the labour hired for agricultural activities by famers in the community.","case_count":"4085","var_count":"19","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F49","file_name":"sectc4a_plantingw5.dta","description":"Data collected through Post Planting Community Questionnaire Section C4 (Land Prices and Credit, questions 1-3). This data records how land is used in the community and how households acquire access to or rights to land.","case_count":"3549","var_count":"11","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F50","file_name":"sectc4b_plantingw5.dta","description":"Data collected through Post Planting Community Questionnaire Section C4 (Land Prices and Credit, questions 4a-4d). This data records land prices.","case_count":"507","var_count":"11","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F51","file_name":"sectc4c_plantingw5.dta","description":"Data collected through Post Planting Community Questionnaire Section C4 (Land Prices and Credit, questions 5-16). This data records how individuals in the community obtain credit.","case_count":"2028","var_count":"17","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F52","file_name":"sectc5_plantingw5.dta","description":"Data collected through Post Planting Community Questionnaire Section C5 (Infrastructure and Transportation). This data records the availability of infrastructure and the means of transportation to access it within the community.","case_count":"12168","var_count":"18","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F53","file_name":"sectc6_plantingw5.dta","description":"Data collected through Post Planting Community Questionnaire Section C6 (Community Organizations). This data records characteristics of organizations in the community.","case_count":"7605","var_count":"16","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F54","file_name":"sectc7_plantingw5.dta","description":"Data collected through Post Planting Community Questionnaire Section C7 (Community Resource Management). This data records the availability and management of resources within the community.","case_count":"3549","var_count":"20","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F55","file_name":"secta_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section Cover. This section captures household-level information. The dataset includes household identifiers, enumerator and supervisor identifiers, the date and time of the interview, questions to determine whether the household is engaged in agricultural activities, and observation notes recorded by the enumerator during the interview.","case_count":"4771","var_count":"34","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F56","file_name":"sect1_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 1 (Household Roster). This section captures a roster of individuals living in the household, including their relationship to the household head, gender, year of birth, age, marital status, spouse identification, religion, parental status, and details for new members such as the date and reason for joining the household, as well as migration information.","case_count":"28256","var_count":"121","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F57","file_name":"sect2_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 2 (Education). This section records individual-level information on educational attainment, school characteristics, expenditures, and repetition.","case_count":"25662","var_count":"131","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F58","file_name":"sect2b_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 2B (Early Child Development). This section records child-level information on early literacy skills, early numeracy skills, executive functioning, and socioemotional development.","case_count":"25662","var_count":"33","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F59","file_name":"sect2c_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 2C (Childcare). This section records child-level information on households\u2019 uses and\/or access to childcare services.","case_count":"4755","var_count":"68","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F60","file_name":"sect3a_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 3A (Subjective Skills). individual\u2019s goal-setting capacity. This section records individual-level information on goal-setting capacity, which is the process of establishing specific, time-based behaviors that are measurable, achievable, and realistic, enabling individuals to fulfill their goals.","case_count":"25662","var_count":"41","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F61","file_name":"sect3b_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 3B (Migration Aspirations). This section records individual-level information on migration desires, plans, and unsuccessful attempts among household members aged 15 years and older.","case_count":"25662","var_count":"119","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F62","file_name":"sect3c_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 3C (Time Use). This section records individual-level information on the amount of time household members spend doing various daily activities including paid work, caring for children, domestic chores, and so on in the last 24 hours prior to the visit.","case_count":"10241","var_count":"112","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F63","file_name":"sect3d_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 3D (Women Dietary Diversity). This section records women-level information on women\u2019s nutrition diet for the previous day.","case_count":"25662","var_count":"40","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F64","file_name":"sect4a_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 4A (Labour). This section records individual-level information on labor market participation over the past 7 days, including temporary absences, job search activities, and wage work (covering benefits, work hours, and payment).","case_count":"25662","var_count":"134","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F65","file_name":"sect4b_harvestw5.dta","description":"Data collected through Post Harvest Household Questionnaire Section 4B (Anthropometry). This section records child-level information on assessment of the nutritional status of children who are less than 60 months.","case_count":"2478","var_count":"28","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F66","file_name":"sect5a_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 5A (Meals away from home). This section records household-meal level information on the value of food consumed outside the home during the past 7 days.","case_count":"9512","var_count":"10","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F67","file_name":"sect5b_harvestw5.dta","description":"Data collected through Post- Harvest Household Questionnaire Section 5B (Food Consumption). This section records household-food item level information on the quantity and value of food consumed within the household during the past 7 days, as well as the quantity and value of food purchased during the past 30 days.","case_count":"509220","var_count":"26","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F68","file_name":"sect5c_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 5C (Aggregate Food Consumption). This section records household-food item level information on the number of days the household consumed each food group item during the last 7 days.","case_count":"56580","var_count":"11","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F69","file_name":"sect6a_harvestw5.dta","description":"Data collected through Post Harvest Household Questionnaire Section 6A (Non-Food Expenditure, questions 1-2). This section records household-nonfood item level information on non-food expenditure during the last week.","case_count":"23575","var_count":"11","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F70","file_name":"sect6b_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 6B (Non-Food Expenditure, questions 3-4). This section records household-nonfood item level information on non-food expenditure during the last month.","case_count":"221605","var_count":"10","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F71","file_name":"sect6c_harvestw5.dta","description":"Data collected through Post Harvest Household Questionnaire Section 6C (Non-Food Expenditure, questions 5-6). This section records household-nonfood item level information on non-food expenditure during the last 12 months.","case_count":"301760","var_count":"10","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F72","file_name":"sect7_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 7 (Food Security). This section records household-level information on food security status of the household during the last 30 days\/last 12 months.","case_count":"4715","var_count":"50","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F73","file_name":"sect8a_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 8 (Non-Farm Enterprises, questions 0-1a). This section records household-level information on non-farm enterprises\/activities (NFE) run by members of the household.","case_count":"4715","var_count":"16","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F74","file_name":"sect8b_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 8 (Non-Farm Enterprises, questions 2a-12b, 13a-30). This section records household-NFE level information on enterprises\/activities characteristics and operating status, loan, stock, costs and profits.","case_count":"3436","var_count":"80","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F75","file_name":"sect8c_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 8 (Non-Farm Enterprises, questions 12b-12d). This section records individual-NFE level information on the number of months spent working in the nonfarm enterprise.","case_count":"3814","var_count":"28","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F76","file_name":"sect8d_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 8D (Non-Farm Enterprises, questions 33-38). This section records household-level information on constraints to starting, operating, and growing a nonfarm enterprise (NFE).","case_count":"4715","var_count":"20","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F77","file_name":"sect9_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 9 (Housing). This section records household-level information on homeownership and characteristics of home (type of roof, floor, outside wall, number of rooms, type of cookstove and cooking fuel, electricity connection, drinking water source, sanitation facility, refuse collection)","case_count":"4715","var_count":"138","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F78","file_name":"sect10_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 10 (Food Consumption Shocks). This section records household-level information on the effects of external conditions on a household\u2019s normal food consumption practices.","case_count":"4715","var_count":"54","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F79","file_name":"sect11a_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 11 (Safety nets, questions 0-1a). This section records household-level information on assistance received from institutions.","case_count":"4715","var_count":"11","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F80","file_name":"sect11b_harvestw5.dta","description":"Data collected through Post Harvest Household Questionnaire Section 11 (Safety nets, questions 2-9). This section records household-program level information on the characteristics of the assistance received from institutions.","case_count":"1720","var_count":"44","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F81","file_name":"sect12_harvestw5.dta","description":"Data collected through Post-Harvest Household Questionnaire Section 12 (Economic Shocks). This section records household-shock level information on economic shocks affecting the household and coping mechanism adopted by the household.","case_count":"136735","var_count":"20","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F82","file_name":"sectaa_harvestw5.dta","description":"Data collected through Post-Harvest Agriculture Questionnaire Section Cover. This section captures household-level information. The dataset includes household identifiers, enumerator and supervisor identifiers, the date and time of the interview, questions to determine whether the household is engaged in agricultural activities.","case_count":"4717","var_count":"14","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F83","file_name":"secta1_harvestw5.dta","description":"Data collected through Post-Harvest Agriculture Questionnaire Section A1 (Plot Roster). 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Building frame and related trades workers not elsewhere classified","is_missing":null,"stats":[{"value":"7","type":"freq","wgtd":null}]},{"value":"7121","labl":"7121. Roofers","is_missing":null,"stats":[{"value":"3","type":"freq","wgtd":null}]},{"value":"7122","labl":"7122. Floor layers and tile setters","is_missing":null,"stats":[{"value":"14","type":"freq","wgtd":null}]},{"value":"7123","labl":"7123. Plasterers","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"7124","labl":"7124. Insulation workers","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"7125","labl":"7125. Glaziers","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"7126","labl":"7126. Plumbers and pipe fitters","is_missing":null,"stats":[{"value":"15","type":"freq","wgtd":null}]},{"value":"7127","labl":"7127. 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Manufacture of fluid power equipment","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"2813","labl":"2813. Manufacture of other pumps, compressors, taps and valves","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"2814","labl":"2814. Manufacture of bearings, gears, gearing and driving elements","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"2815","labl":"2815. Manufacture of ovens, furnaces and furnace burners","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"2816","labl":"2816. Manufacture of lifting and handling equipment","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"2817","labl":"2817. Manufacture of office machinery and equipment (except computers and peripheral equipment)","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"2818","labl":"2818. 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Manufacture of bicycles and invalid carriages","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"3099","labl":"3099. Manufacture of other transport equipment n.e.c.","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"3100","labl":"3100. Manufacture of furniture","is_missing":null,"stats":[{"value":"34","type":"freq","wgtd":null}]},{"value":"3211","labl":"3211. Manufacture of jewellery and related articles","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"3212","labl":"3212. Manufacture of imitation jewellery and related articles","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"3220","labl":"3220. Manufacture of musical instruments","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"3230","labl":"3230. Manufacture of sports goods","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"3240","labl":"3240. Manufacture of games and toys","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"3250","labl":"3250. Manufacture of medical and dental instruments and supplies","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"3290","labl":"3290. Other manufacturing n.e.c.","is_missing":null,"stats":[{"value":"2","type":"freq","wgtd":null}]},{"value":"3311","labl":"3311. Repair of fabricated metal products","is_missing":null,"stats":[{"value":"5","type":"freq","wgtd":null}]},{"value":"3312","labl":"3312. Repair of machinery","is_missing":null,"stats":[{"value":"8","type":"freq","wgtd":null}]},{"value":"3313","labl":"3313. Repair of electronic and optical equipment","is_missing":null,"stats":[{"value":"9","type":"freq","wgtd":null}]},{"value":"3314","labl":"3314. Repair of electrical equipment","is_missing":null,"stats":[{"value":"22","type":"freq","wgtd":null}]},{"value":"3315","labl":"3315. Repair of transport equipment, except motor vehicles","is_missing":null,"stats":[{"value":"8","type":"freq","wgtd":null}]},{"value":"3319","labl":"3319. Repair of other equipment","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"3320","labl":"3320. Installation of industrial machinery and equipment","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"3510","labl":"3510. Electric power generation, transmission and distribution","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"3520","labl":"3520. Manufacture of gas; distribution of gaseous fuels through mains","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"3530","labl":"3530. Steam and air conditioning supply","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"3600","labl":"3600. Water collection, treatment and supply","is_missing":null,"stats":[{"value":"5","type":"freq","wgtd":null}]},{"value":"3700","labl":"3700. Sewerage","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"3811","labl":"3811. Collection of non-hazardous waste","is_missing":null,"stats":[{"value":"3","type":"freq","wgtd":null}]},{"value":"3812","labl":"3812. Collection of hazardous waste","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"3821","labl":"3821. Treatment and disposal of non-hazardous waste","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"3822","labl":"3822. Treatment and disposal of hazardous waste","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"3830","labl":"3830. Materials recovery","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"3900","labl":"3900. 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Electrical installation","is_missing":null,"stats":[{"value":"20","type":"freq","wgtd":null}]},{"value":"4322","labl":"4322. Plumbing, heat and air-conditioning installation","is_missing":null,"stats":[{"value":"13","type":"freq","wgtd":null}]},{"value":"4329","labl":"4329. Other construction installation","is_missing":null,"stats":[{"value":"7","type":"freq","wgtd":null}]},{"value":"4330","labl":"4330. Building completion and finishing","is_missing":null,"stats":[{"value":"13","type":"freq","wgtd":null}]},{"value":"4390","labl":"4390. Other specialized construction activities","is_missing":null,"stats":[{"value":"20","type":"freq","wgtd":null}]},{"value":"4510","labl":"4510. Sale of motor vehicles","is_missing":null,"stats":[{"value":"3","type":"freq","wgtd":null}]},{"value":"4520","labl":"4520. Maintenance and repair of motor vehicles","is_missing":null,"stats":[{"value":"66","type":"freq","wgtd":null}]},{"value":"4530","labl":"4530. Sale of motor vehicle parts and accessories","is_missing":null,"stats":[{"value":"15","type":"freq","wgtd":null}]},{"value":"4540","labl":"4540. Sale, maintenance and repair of motorcycles and related parts and accessories","is_missing":null,"stats":[{"value":"8","type":"freq","wgtd":null}]},{"value":"4610","labl":"4610. Wholesale on a fee or contract basis","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"4620","labl":"4620. Wholesale of agricultural raw materials and live animals","is_missing":null,"stats":[{"value":"83","type":"freq","wgtd":null}]},{"value":"4630","labl":"4630. Wholesale of food, beverages and tobacco","is_missing":null,"stats":[{"value":"62","type":"freq","wgtd":null}]},{"value":"4641","labl":"4641. Wholesale of textiles, clothing and footwear","is_missing":null,"stats":[{"value":"42","type":"freq","wgtd":null}]},{"value":"4649","labl":"4649. Wholesale of other household goods","is_missing":null,"stats":[{"value":"20","type":"freq","wgtd":null}]},{"value":"4651","labl":"4651. Wholesale of computers, computer peripheral equipment and software","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"4652","labl":"4652. Wholesale of electronic and telecommunications equipment and parts","is_missing":null,"stats":[{"value":"6","type":"freq","wgtd":null}]},{"value":"4653","labl":"4653. Wholesale of agricultural machinery, equipment and supplies","is_missing":null,"stats":[{"value":"2","type":"freq","wgtd":null}]},{"value":"4659","labl":"4659. Wholesale of other machinery and equipment","is_missing":null,"stats":[{"value":"2","type":"freq","wgtd":null}]},{"value":"4661","labl":"4661. Wholesale of solid, liquid and gaseous fuels and related products","is_missing":null,"stats":[{"value":"11","type":"freq","wgtd":null}]},{"value":"4662","labl":"4662. Wholesale of metals and metal ores","is_missing":null,"stats":[{"value":"3","type":"freq","wgtd":null}]},{"value":"4663","labl":"4663. Wholesale of construction materials, hardware, plumbing and heating equipment and supplies","is_missing":null,"stats":[{"value":"10","type":"freq","wgtd":null}]},{"value":"4669","labl":"4669. Wholesale of waste and scrap and other products n.e.c.","is_missing":null,"stats":[{"value":"5","type":"freq","wgtd":null}]},{"value":"4690","labl":"4690. Non-specialized wholesale trade","is_missing":null,"stats":[{"value":"38","type":"freq","wgtd":null}]},{"value":"4711","labl":"4711. Retail sale in non-specialized stores with food, beverages or tobacco predominating","is_missing":null,"stats":[{"value":"503","type":"freq","wgtd":null}]},{"value":"4719","labl":"4719. Other retail sale in non-specialized stores","is_missing":null,"stats":[{"value":"372","type":"freq","wgtd":null}]},{"value":"4721","labl":"4721. Retail sale of food in specialized stores","is_missing":null,"stats":[{"value":"183","type":"freq","wgtd":null}]},{"value":"4722","labl":"4722. Retail sale of beverages in specialized stores","is_missing":null,"stats":[{"value":"76","type":"freq","wgtd":null}]},{"value":"4723","labl":"4723. Retail sale of tobacco products in specialized stores","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"4730","labl":"4730. Retail sale of automotive fuel in specialized stores","is_missing":null,"stats":[{"value":"11","type":"freq","wgtd":null}]},{"value":"4741","labl":"4741. Retail sale of computers, peripheral units, software and telecommunications equipment in specialized stores","is_missing":null,"stats":[{"value":"14","type":"freq","wgtd":null}]},{"value":"4742","labl":"4742. Retail sale of audio and video equipment in specialized stores","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"4751","labl":"4751. 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Structural-metal preparers and erectors","is_missing":null,"stats":[{"value":"2","type":"freq","wgtd":null}]},{"value":"7215","labl":"7215. Riggers and cable splicers","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"7221","labl":"7221. Blacksmiths, hammersmiths and forging press workers","is_missing":null,"stats":[{"value":"7","type":"freq","wgtd":null}]},{"value":"7222","labl":"7222. Toolmakers and related workers","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"7223","labl":"7223. Metal working machine tool setters and operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"7224","labl":"7224. Metal polishers, wheel grinders and tool sharpeners","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"7231","labl":"7231. Motor vehicle mechanics and repairers","is_missing":null,"stats":[{"value":"81","type":"freq","wgtd":null}]},{"value":"7232","labl":"7232. 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Print finishing and binding workers","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"7411","labl":"7411. Building and related electricians","is_missing":null,"stats":[{"value":"6","type":"freq","wgtd":null}]},{"value":"7412","labl":"7412. Electrical mechanics and fitters","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"7413","labl":"7413. Electrical line installers and repairers","is_missing":null,"stats":[{"value":"13","type":"freq","wgtd":null}]},{"value":"7421","labl":"7421. Electronics mechanics and servicers","is_missing":null,"stats":[{"value":"3","type":"freq","wgtd":null}]},{"value":"7422","labl":"7422. Information and communications technology installers and servicers","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"7511","labl":"7511. Butchers, fishmongers and related food preparers","is_missing":null,"stats":[{"value":"20","type":"freq","wgtd":null}]},{"value":"7512","labl":"7512. Bakers, pastry-cooks and confectionery makers","is_missing":null,"stats":[{"value":"17","type":"freq","wgtd":null}]},{"value":"7513","labl":"7513. Dairy-products makers","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"7514","labl":"7514. Fruit, vegetable and related preservers","is_missing":null,"stats":[{"value":"3","type":"freq","wgtd":null}]},{"value":"7515","labl":"7515. Food and beverage tasters and graders","is_missing":null,"stats":[{"value":"10","type":"freq","wgtd":null}]},{"value":"7516","labl":"7516. Tobacco preparers and tobacco products makers","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"7521","labl":"7521. Wood treaters","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"7522","labl":"7522. Cabinet-makers and related workers","is_missing":null,"stats":[{"value":"12","type":"freq","wgtd":null}]},{"value":"7523","labl":"7523. Woodworking-machine tool setters and operators","is_missing":null,"stats":[{"value":"6","type":"freq","wgtd":null}]},{"value":"7531","labl":"7531. Tailors, dressmakers, furriers and hatters","is_missing":null,"stats":[{"value":"282","type":"freq","wgtd":null}]},{"value":"7532","labl":"7532. Garment and related pattern-makers and cutters","is_missing":null,"stats":[{"value":"3","type":"freq","wgtd":null}]},{"value":"7533","labl":"7533. Sewing, embroidery and related workers","is_missing":null,"stats":[{"value":"13","type":"freq","wgtd":null}]},{"value":"7534","labl":"7534. Upholsterers and related workers","is_missing":null,"stats":[{"value":"2","type":"freq","wgtd":null}]},{"value":"7535","labl":"7535. Pelt dressers, tanners and fellmongers","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"7536","labl":"7536. Shoemakers and related workers","is_missing":null,"stats":[{"value":"11","type":"freq","wgtd":null}]},{"value":"7541","labl":"7541. Underwater divers","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"7542","labl":"7542. Shotfirers and blasters","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"7543","labl":"7543. Product graders and testers (excluding foods and beverages)","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"7544","labl":"7544. Fumigators and other pest and weed controllers","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"7549","labl":"7549. Craft and related workers not elsewhere classified","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8111","labl":"8111. Miners and quarriers","is_missing":null,"stats":[{"value":"11","type":"freq","wgtd":null}]},{"value":"8112","labl":"8112. Mineral and stone processing plant operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8113","labl":"8113. Well drillers and borers and related workers","is_missing":null,"stats":[{"value":"5","type":"freq","wgtd":null}]},{"value":"8114","labl":"8114. Cement, stone and other mineral products machine operators","is_missing":null,"stats":[{"value":"2","type":"freq","wgtd":null}]},{"value":"8121","labl":"8121. Metal processing plant operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8122","labl":"8122. Metal finishing, plating and coating machine operators","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"8131","labl":"8131. Chemical products plant and machine operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8132","labl":"8132. Photographic products machine operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8141","labl":"8141. Rubber products machine operators","is_missing":null,"stats":[{"value":"2","type":"freq","wgtd":null}]},{"value":"8142","labl":"8142. Plastic products machine operators","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"8143","labl":"8143. Paper products machine operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8151","labl":"8151. Fibre preparing, spinning and winding machine operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8152","labl":"8152. Weaving and knitting machine operators","is_missing":null,"stats":[{"value":"34","type":"freq","wgtd":null}]},{"value":"8153","labl":"8153. Sewing machine operators","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"8154","labl":"8154. Bleaching, dyeing and fabric cleaning machine operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8155","labl":"8155. Fur and leather preparing machine operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8156","labl":"8156. Shoemaking and related machine operators","is_missing":null,"stats":[{"value":"5","type":"freq","wgtd":null}]},{"value":"8157","labl":"8157. Laundry machine operators","is_missing":null,"stats":[{"value":"6","type":"freq","wgtd":null}]},{"value":"8159","labl":"8159. Textile, fur and leather products machine operators not elsewhere classified","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8160","labl":"8160. Food and related products machine operators","is_missing":null,"stats":[{"value":"53","type":"freq","wgtd":null}]},{"value":"8171","labl":"8171. Pulp and papermaking plant operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8172","labl":"8172. Wood processing plant operators","is_missing":null,"stats":[{"value":"7","type":"freq","wgtd":null}]},{"value":"8181","labl":"8181. Glass and ceramics plant operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8182","labl":"8182. Steam engine and boiler operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8183","labl":"8183. Packing, bottling and labelling machine operators","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"8189","labl":"8189. Stationary plant and machine operators not elsewhere classified","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"8211","labl":"8211. Mechanical machinery assemblers","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"8212","labl":"8212. Electrical and electronic equipment assemblers","is_missing":null,"stats":[{"value":"6","type":"freq","wgtd":null}]},{"value":"8219","labl":"8219. Assemblers not elsewhere classified","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8311","labl":"8311. Locomotive engine drivers","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"8312","labl":"8312. Railway brake, signal and switch operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8321","labl":"8321. Motorcycle drivers","is_missing":null,"stats":[{"value":"164","type":"freq","wgtd":null}]},{"value":"8322","labl":"8322. Car, taxi and van drivers","is_missing":null,"stats":[{"value":"103","type":"freq","wgtd":null}]},{"value":"8331","labl":"8331. Bus and tram drivers","is_missing":null,"stats":[{"value":"36","type":"freq","wgtd":null}]},{"value":"8332","labl":"8332. Heavy truck and lorry drivers","is_missing":null,"stats":[{"value":"42","type":"freq","wgtd":null}]},{"value":"8341","labl":"8341. Mobile farm and forestry plant operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8342","labl":"8342. Earthmoving and related plant operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8343","labl":"8343. Crane, hoist and related plant operators","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"8344","labl":"8344. Lifting truck operators","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"8350","labl":"8350. Ships' deck crews and related workers","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"9111","labl":"9111. Domestic cleaners and helpers","is_missing":null,"stats":[{"value":"12","type":"freq","wgtd":null}]},{"value":"9112","labl":"9112. Cleaners and helpers in offices, hotels and other establishments","is_missing":null,"stats":[{"value":"28","type":"freq","wgtd":null}]},{"value":"9121","labl":"9121. Hand launderers and pressers","is_missing":null,"stats":[{"value":"14","type":"freq","wgtd":null}]},{"value":"9122","labl":"9122. Vehicle cleaners","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"9123","labl":"9123. Window cleaners","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"9129","labl":"9129. Other cleaning workers","is_missing":null,"stats":[{"value":"2","type":"freq","wgtd":null}]},{"value":"9211","labl":"9211. Crop farm labourers","is_missing":null,"stats":[{"value":"147","type":"freq","wgtd":null}]},{"value":"9212","labl":"9212. Livestock farm labourers","is_missing":null,"stats":[{"value":"5","type":"freq","wgtd":null}]},{"value":"9213","labl":"9213. Mixed crop and livestock farm labourers","is_missing":null,"stats":[{"value":"15","type":"freq","wgtd":null}]},{"value":"9214","labl":"9214. Garden and horticultural labourers","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"9215","labl":"9215. Forestry labourers","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"9216","labl":"9216. Fishery and aquaculture labourers","is_missing":null,"stats":[{"value":"4","type":"freq","wgtd":null}]},{"value":"9311","labl":"9311. Mining and quarrying labourers","is_missing":null,"stats":[{"value":"5","type":"freq","wgtd":null}]},{"value":"9312","labl":"9312. Civil engineering labourers","is_missing":null,"stats":[{"value":"10","type":"freq","wgtd":null}]},{"value":"9313","labl":"9313. Building construction labourers","is_missing":null,"stats":[{"value":"78","type":"freq","wgtd":null}]},{"value":"9321","labl":"9321. Hand packers","is_missing":null,"stats":[{"value":"3","type":"freq","wgtd":null}]},{"value":"9329","labl":"9329. Manufacturing labourers not elsewhere classified","is_missing":null,"stats":[{"value":"57","type":"freq","wgtd":null}]},{"value":"9331","labl":"9331. Hand and pedal vehicle drivers","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"9332","labl":"9332. Drivers of animal-drawn vehicles and machinery","is_missing":null,"stats":[{"value":"1","type":"freq","wgtd":null}]},{"value":"9333","labl":"9333. Freight handlers","is_missing":null,"stats":[{"value":"5","type":"freq","wgtd":null}]},{"value":"9334","labl":"9334. Shelf fillers","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"9411","labl":"9411. Fast food preparers","is_missing":null,"stats":[{"value":"117","type":"freq","wgtd":null}]},{"value":"9412","labl":"9412. Kitchen helpers","is_missing":null,"stats":[{"value":"3","type":"freq","wgtd":null}]},{"value":"9510","labl":"9510. 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