{"type":"survey","doc_desc":{"title":"TZA_2008_NPS-R1_v03_M","idno":"DDI_TZA_2008_NPS- R1_v03_M","producers":[{"name":"World Bank, Development Economics Data Group","abbreviation":"DECDG","affiliation":"","role":"Production of metadata"}],"prod_date":"2011-03-04","version_statement":{"version":"Version 03"}},"study_desc":{"title_statement":{"idno":"TZA_2008_NPS-R1_v03_M","title":"National Panel Survey 2008-2009","alt_title":"NPS 2008-09","sub_title":"Wave 1"},"authoring_entity":[{"name":"National Bureau of Statistics","affiliation":""}],"production_statement":{"prod_date":"2011-03-04"},"distribution_statement":{"depositor":[{"name":"","abbreviation":"","affiliation":""}]},"series_statement":{"series_name":"Living Standards Measurement Study [hh\/lsms]","series_info":"Plans are for the NPS to be repeated biennially, i.e., every 2 years. Thus round 2 will begin in late 2010. The term \u201cpanel\u201d in the NPS title refers to surveys that return to the same interviewee on multiple occasions over time. The 2008\/09 round is the first round of the NPS. However, in future years the NPS will return to all of the households interviewed in 2008\/09 to track their outcomes over time."},"study_info":{"abstract":"The NPS is nationally-representative household survey which provides measures of poverty, agricultural yields, and other key development indicators. The NPS is an \u201cintegrated\u201d household survey, in that it covers a broad range of topics in the same questionnaire \u2013 from education and health to crime, gender-based violence and a range of other sections \u2013 to allow analysis of the links between sectors and the determinants of development outcomes.\n\nThe National Panel Survey (NPS) was designed to meet three principle objectives. \n\nThe first, overarching goals was to monitor progress toward the goals set out in the National Strategy for Growth and Poverty Reduction (aka, the MKUKUTA goals) and other national development objectives (MDG, PAF, etc.). The NPS provides high-quality, annual data on a long list of MKUKUTA indicators that is both nationally representative and comparable over time. As such, the NPS is intended to provide a key benchmark for tracking progress on poverty reduction and a wide range of other development indicators.\n\nThe second goal of the NPS is to facilitate better understanding of the determinants of poverty reduction in Tanzania. The NPS will enable detailed study of poverty dynamics at two levels. In addition to tracking the evolution of aggregate poverty numbers at the national level in years between Household Budget Surveys, the NPS will enable analysis of the micro-level determinants of poverty reduction at the household level. Panel data will provide the basis for analyzing the causal determinants of income growth, increasing or decreasing yields, improvements in educational achievement, and changes in the quality of public service provision over time by linking changes in these outcomes to household and community characteristics.\n\nA third objective of the NPS is to provide data to evaluate the impact of specific policies and programs. With its national coverage and long time frame, the NPS will provide an ideal platform to conduct rigorous impact evaluations of government and non-government development initiatives. To achieve this goal, the National Bureau of Statistics will need to work in close collaboration with the relevant line ministries to link administrative data on relevant projects to changes in development outcomes measured in the survey.","coll_dates":[{"start":"2008-10","end":"2009-09","cycle":""}],"nation":[{"name":"Tanzania","abbreviation":"TZA"}],"geog_coverage":"The survey covered all regions and all districts of Tanzania, both mainland and Zanzibar.","data_kind":"Sample survey data [ssd]","notes":"HOUSEHOLD QUESTIONNAIRE:\n Household member roster\n Education\n Health\n Labour\n Food consumption outside the household\n Migration\n Governance\n Violence against women\n Housing, water and sanitation\n Food consumption\n Non-food consumption\n Assets\n Assistance and groups\n Credit\n Crime and justice\n Recent shocks to household welfare\n Deaths in household\n\nAGRICULTURE QUESTIONNAIRE\n Household roster\n Plot roster\n Crops by plot (harvests, losses, seeds, sales, post-harvest losses, storage)\n Permanent criops\n Processed agricultural products and by-products\n Livestock\n Livestock by-products\n Farm implements and machinery\n Fishery and aquaculture\n Extension\n\nCOMMUNITY QUESTIONNAIRE\n Direct observation\n Access to basic services\n Investment projects\n Land use\n Agriculture\n Demography and family issues\n Givernance\n Roster of community leaders\n Crime and policing\n Market prices","study_scope":"HOUSEHOLD QUESTIONNAIRE:\n Household member roster\n Education\n Health\n Labour\n Food consumption outside the household\n Migration\n Governance\n Violence against women\n Housing, water and sanitation\n Food consumption\n Non-food consumption\n Assets\n Assistance and groups\n Credit\n Crime and justice\n Recent shocks to household welfare\n Deaths in household\n\nAGRICULTURE QUESTIONNAIRE\n Household roster\n Plot roster\n Crops by plot (harvests, losses, seeds, sales, post-harvest losses, storage)\n Permanent criops\n Processed agricultural products and by-products\n Livestock\n Livestock by-products\n Farm implements and machinery\n Fishery and aquaculture\n Extension\n\nCOMMUNITY QUESTIONNAIRE\n Direct observation\n Access to basic services\n Investment projects\n Land use\n Agriculture\n Demography and family issues\n Givernance\n Roster of community leaders\n Crime and policing\n Market prices"},"method":{"data_collection":{"sampling_procedure":"In order to monitor progress toward the MKUKUTA goals, it was vital that the NPS have a nationally-representative sample design. As such, in 2008\/09 the NPS interviewed 3,280 households spanning all regions and all districts of Tanzania, both mainland and Zanzibar.\n\nThe sample size of 3,280 households was calculated to be sufficient to produce national estimates of poverty, agricultural production and other key indicators. It will also be possible in the final analysis to produce disaggregated poverty rates for 4 different strata: Dar es Salaam, other urban areas on mainland Tanzania, rural mainland Tanzania, and Zanzibar. Alternatively, estimates of most key indicators can be produced at the zone level, as used for the Demographic and Health Survey (DHS) reports and other surveys. There are 7 of these zones in total on the mainland: North, Central, Eastern, South, Southern Highlands, West and Lake. As with any survey though, the confidence of the estimates declines as statistics are disaggregated into smaller zones. \n\nDue to the limits of the sample size it is not possible to produce reliable statistics at the regional or district level.\n\nThe guiding principle in the choice of sample size, following standard practice for NBS surveys, was to produce estimates with a 95% confidence interval no larger than 5% of the mean for key indicators. In this case, household consumption and maize yields were used as the basis for those calculations.\n\nThe NPS was based on a stratified, multi-stage cluster sample design. The principle strata were Mainland versus Zanzibar, and within these, rural versus urban areas, with a special stratum set aside for Dar es Salaam. Within each stratum, clusters were chosen at random, with the probability of selection proportional to their population size. In urban areas a 'cluster' was defined as a census enumeration area (from the 2002 Population and Housing Census), while in rural areas an entire village was taken as a cluster. This primary motivation for using an entire village in rural areas was for consistency with the HBS 2007 sample which did likewise.\n\nBased on the 2002 Population and Housing Census, rural residents comprise roughly 77% of the population, compared with 63% of the NPS sample. The NPS sample gives slighter greater weight to urban areas due to the higher levels of inequality in these areas, and added difficulty in estimating poverty rates and other statistics. Similarly, Zanzibar comprised roughly 3% of the Tanzanian population in the 2002 census, but constitutes nearly 15% of the NPS sample, so as to allow separate Zanzibar-specific estimates to be presented for most indicators.\n\nFinally, although it has been stressed that the 2008\/09 round is the first year of the NPS, the sample design for year 1 was deliberately linked to the 2007 HBS to facilitate comparison between the surveys. On mainland Tanzania, 200 of the 350 in the NPS were drawn from the 2007 HBS sample (this included all 140 rural HBS clusters). Within these 200 HBS clusters, a portion of the (8) households sampled for the NPS were taken from the sample of (24) HBS households in the cluster. (The number of HBS households sampled varied from cluster to cluster, in proportion to the share of the population, as measured through a comprehensive household listing, that had remained stationary in the cluster since the time of the HBS. This was done to ensure that the NPS sample remained nationally representative despite possible non-random attrition of HBS households.)\n\nThis design created a panel of approximately 1,200 HBS households - interviewed in both the HBS and NPS - within the total sample of 3,280 NPS households.","coll_mode":"Face-to-face [f2f]","research_instrument":"The main survey instrument of the NPS was the household questionnaire. This was administered to all households in the sample.\n\nGeneral household information \u2013 including food consumption and other household expenditure, which is central to poverty measurement \u2013 was solicited from the household head or another knowledgeable adult member of the household. In addition, wherever possible, each individual member over 5 years of age was interviewed directly for sections on education, health, labour, and food eaten outside the home.\n\nIn addition to the household questionnaire, a separate 46-page agricultural questionnaire was administered to all households with any agricultural activities (including farming, fishing or livestock, or ownership of any shamba even if not under cultivation). The agricultural questionnaire included detailed sections on each plot and each crop under cultivation, as well as information on farm assets, extension services, use and marketing of farm by-products, etc. For a sample of roughly 25% of the farming households, enumerators used GPS devices to directly measure the size of all farming plots.\n\nFinally, apart from the questionnaires administered to households, a separate community questionnaire collected information from village, kitongoji and\/or mtaa leaders. The community questionnaire covered topics including local administration and governance and access to basic services.\n\nIn a number of places, the NPS questionnaires provide extra detail relevant to MKUKUTA progress that goes beyond the specific indicators outlined in the MKUKUTA monitoring framework. In such cases, additional tables and statistics have been presented \u2013 in the relevant sections of the report \u2013 as a way of providing a deeper understanding of the process at work underlying progress on the core indicators. Key examples here are the enormous detail available on smallholder farming activities, which go far beyond the basic MKUKUTA indicators on technology usage and food production, and the in depth questions in the NPS on genderbased violence.","coll_situation":"Timeline & organization of fieldwork The first round of the NPS was collected over a 12-month period between October 2008 and September 2009.\n\nSeven mobile survey teams conducted interviews year round, with each team working year round in a specific \u201cwork zone\u201d of the country. Note that in order to balance the workload and travel times across teams, these work zones did not correspond perfectly to the administrative zones of the country. (The work zones were divided as follows: North-coast including Arusha, Kilimanjaro, Mara, Manyara and Tanga; Lake zone included Kagera, Kigoma, Mwanza and Shinyanga; Central zone including Dodoma, part of Iringa, Morogoro, Singida and Tabora; Southern zone including part of Iringa, Mbeya, Rukwa and Ruvuma; Eastern zone including Lindi, Mtwara, and Pwani; the Dar es Salaam zone and finally a separate zone for Zanzibar.\n\nWithin each zone, each district and each region were visited at 3 separate (randomly assigned) points during the year, so as to account for seasonal fluctuations.\n\nThe mobile teams spent roughly 4 to 5 days in each cluster (village or urban enumeration area). The first day was devoted to listing the cluster, i.e., compiling a list of the population of households in the cluster from which to draw a sample. The second and third days were devoted to interviews and the fourth to finalize data entry, call backs, etc. Median interview time was approximately 2.5 hours for the household questionnaire and 1.5 hours for the agricultural questionnaire.\n\nConsiderable additional time was spent on anthropometric measurement of all household members and taking direct GPS measurement of a sub-sample of respondents\u2019\u2019 farm plots.\n\nEach mobile team was overseen by a supervisor from NBS and included a driver, four enumerators, and a data entry operator equipped with a laptop. The data entry operator was responsible for entering all questionnaires using the CsPro software package while in the field, conducting consistency checks of the data and instructing enumerators to re-visit households when problems were flagged by the software. Once entered and validated in CsPro, the electronic data was sent on a weekly basis from the field teams to NBS headquarters by email using 3G modems."}},"data_access":{"dataset_use":{"contact":[{"name":"Tanzania National Bureau of Statistics","affiliation":"","email":"","uri":""}],"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\nExample:\n\nNational Bureau of Statistics. Tanzania National Panel Survey 2008-2009 (Round 1). Ref. TZA_2008_NPS-R1_v03_M. Dataset downloaded from http:\/\/microdata.worldbank.org on [date].","conditions":"The Primary Data Investigator, the Other Investigators, and the Representative of the Receiving Organization agree to comply with the following:\n\n\n- The data will only be processed for the stated statistical purpose. They will be used solely for reporting of aggregated information and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.\n\n- The Primary Data Investigator undertakes that no attempt will be made to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made of the identity of any person or establishment discovered and full details will be reported to the NBS. The identification will not be revealed to any other person not included in the Data Access Agreement.\n\n- Any books, articles, conference papers, thesis, dissertations, reports, or other publications that employ data obtained from the National Data Archive will cite the source of data in accordance with the citation requirement provided with the dataset.\n\n- An electronic copy of all reports and publications based on the requested data will be sent to the NBS.\n\n- The original collector of the data, the NBS, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.\n\n- Any changes to the project specification, security arrangements, personnel or organization detailed in this application form, shall be made upon approval by NBS. Where there is a change to the employer organization of the Primary Data Investigator this will involve a fresh application being made and termination of the original project.\n\nFailure to comply with the NBS directives will amount to a breach of the agreement and will result into legal proceedings.","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."}},"version_statement":{"version_notes":"Version 02 - \"HH.Geovariables_Y1\" dataset has been revised.\n\nVersion 03 - The community level data has been provided."}},"data_files":[{"file_id":"F1","file_name":"SEC_A_T_Swahili_Labels","description":"SECTION A-1: Household Identification \nSECTION T-1: Household Recontact Information\nSECTION T-2: Filter Questions for Ag Module\nThis file contains data with Swahili labels","case_count":"3265","var_count":"28","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"SEC_B_C_D_E1_F_G1_U_Swahili_Labels","description":"SECTION B: Household Member Roster\nSECTION C: Education\nSECTION D: Health\nSECTION E: Labour\nSECTION F: Food Consumption Outside the HH\nSECTION G: Children Living Elsewhere\nSECTION U: Anthropometry\nThis file contains data with Swahili labels","case_count":"16713","var_count":"225","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F3","file_name":"SEC_E2_Swahili_Labels","description":"SECTION E: Labour\nThis file contains data with Swahili labels","case_count":"114","var_count":"31","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F4","file_name":"SEC_G2_Swahili_Labels","description":"SECTION G: Children Living Elsewhere (Migration)\nThis file contains data with Swahili labels","case_count":"3960","var_count":"10","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F5","file_name":"SEC_H1_J_K2_O2_P1_Q1_S1_Swahili_Labels","description":"SECTION H. 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