{"type":"survey","doc_desc":{"title":"TZA_2017_HBS_v01_M","idno":"DDI_TZA_2017_HBS_v01_M_WB","producers":[{"name":"Development Economics Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Documentation of the DDI"},{"name":"The Sub-Saharan Team for Statistical Development","abbreviation":"SSATSD","affiliation":"The World Bank","role":"Documentation of the DDI"}],"prod_date":"2020-04-06","version_statement":{"version":"Version 0.1 (April 2020)"}},"study_desc":{"title_statement":{"idno":"TZA_2017_HBS_v01_M","title":"Household Budget Survey 2017-2018","alt_title":"HBS 2017-2018"},"authoring_entity":[{"name":"National Bureau of Statistics","affiliation":"The Government of Tanzania "}],"production_statement":{"producers":[{"name":"World Bank","affiliation":"World Bank","role":"Technical assistance"},{"name":"UN Women","affiliation":"United Nations","role":"Technical assistance"},{"name":"United Nations Children\u2019s Fund","affiliation":"United Nations","role":"Technical assistance"}],"funding_agencies":[{"name":"The Government of Tanzania","abbreviation":"","role":""},{"name":"World Bank","abbreviation":"WB","role":""},{"name":"UN Women","abbreviation":"UN Women","role":""},{"name":"Irish Embassy","abbreviation":"","role":""},{"name":"United Nations Children\u2019s Fund","abbreviation":"UNICEF","role":""},{"name":"Global Affairs  Canada","abbreviation":"GAC","role":""}]},"distribution_statement":{"contact":[{"name":"National Bureau of Statistics","affiliation":"The Government of Tanzania ","email":"sg@nbs.go.tz ","uri":""}],"depositor":[{"name":"National Bureau of Statistics","abbreviation":"NBS","affiliation":"The Government of Tanzania "}]},"series_statement":{"series_name":"Income\/Expenditure\/Household Survey [hh\/ies]"},"version_statement":{"version":"v0.1: Edited, anonymous dataset."},"study_info":{"abstract":"Tanzania Mainland through the National Bureau of Statistics (NBS) has been conducting the household budget surveys (HBSs) since 1969 to collect data on consumption, expenditure and the poverty situation in the country. The first round of scientific HBSs that represented urban and rural areas was conducted in 1991. Since then NBS has successfully completed five rounds of scientific HBS including the 2017- 18 HBS. The HBS data series is the major sources of information for estimation of poverty and its associated characteristics. It provides empirical evidence for users to understand the income (using the consumption expenditure as proxy to income) dimension of poverty.\n\nObjectives of the Survey:\nThe main objective of the 2017-18 HBS was to obtain current information on poverty estimation and its associated characteristics and to assess the progress made in improving the living standards of the people. The result will be used for monitoring the implementation of national, regional and global commitments such as Tanzania Development Vision 2025, national Second Five Year Development Plan (FYDP-II 2016\/17 2020\/21), East Africa Community Vision 2050 (EAC 2050), Africa Development Agenda 2063 (ADA 2063) and Global Agenda 2030 on Sustainable Development Goals (2030 SDGs). Specifically, the 2017-18 HBS aimed at:\n- Providing series of data for assessing poverty and changes in the households' living standards over time; and for monitoring and evaluation of the impacts of socio-economic policies and programs on the welfare of people;\n- Providing baseline data for compiling household accounts such as the Private Final Consumption Expenditure (PFCE) component of the demand side of Gross Domestic Product (GDP) as recommended in the System of National Accounts (SNA); and\n- Rebasing of GDP and Consumer Price Indices (CPI).","coll_dates":[{"start":"2017-12","end":"2018-11","cycle":""}],"nation":[{"name":"Tanzania","abbreviation":"TZA"}],"geog_coverage":"- National coverage\n- Rural and urban areas\n- Regions: Dodoma, Arusha, Kilimanjaro, Tanga, Morogoro, Pwani, Dar es Salaam, Lindi, Mtwara, Ruvuma, Iringa, Mbeya, Singida, Tabora, Rukwa, Kigoma, Shinyanga, Kagera, Mwanza, Mara, Manyara, Njombe, Katavi, Simiyu, Geita, and Songwe.","analysis_unit":"- Individuals\n- Households\n- Communities","universe":"The survey covered all members residing in private households in Tanzania Mainland.","data_kind":"Sample survey data [ssd]"},"method":{"data_collection":{"data_collectors":[{"name":"National Bureau of Statistics","abbreviation":"NBS","affiliation":"The Government of Tanzania "}],"sampling_procedure":"The sample for the 2017-18 HBS covered the population residing in private households in Tanzania Mainland. A representative probability sample of 9,552 households was selected. This sample was designed to allow separate estimates for each of the 26 regions of the Tanzania Mainland, also urban and rural areas separately at the national level.\n\nThe 2017-18 HBS adopted a two-stage cluster sample design. The first stage involved selection of enumeration areas (primary sampling units - PSUs) from the 2012 Population and Housing Census (2012 PHC) Frame. A total of 796 PSUs (69 from Dar es Salaam, 167 from Other Urban Areas and 560 from Rural Areas) was selected. The NBS carried out listing exercise in which households residing in selected PSUs were freshly listed to update the 2012 PHC list before selecting households.\n\nThe second stage of sampling involved systematic sampling of households from the updated PSUs list. A sample of 12 households was selected from each selected PSU. All household members regardless of their age, who were usual members of the selected households and all visitors who were present in the household on the night before the survey interview, were eligible for the survey.","coll_mode":"Computer Assisted Personal Interview [capi]","research_instrument":"The 2017-18 HBS was implemented using six electronic questionnaires (Forms I - V and VII) and a paper questionnaire (Form VI). The information collected was the following:\n- Form I: Demographics; parents' survivorship; birth delivery and breast feeding; citizenship and migration; education; literacy; health; disability; insurances, individual asset ownership and identification documents; labour market indicators; non-farm household businesses; and individual non-wage income;\n- Form II: Dwellings; utility; water and sanitation; transport and communications; tourism; investments; banking; and households\u2019 recall expenditures; children and adult mortality. The form also contained the TASAF and food security modules;\n- Form III: Crops, livestock and food security;\n- Form IV: Time use (5+ years Household members);\n- Form V: Household diary for recording daily household consumption and expenditure over a 14-days period; \n- Form VI: Individual diary for recording daily consumption and expenditure for each household member age five years or more; and\n- Form VII: Access to community services (selected communities).\n\nMore details on the questionnaire are provided as external resources","coll_situation":"Listing, Recruitment and Training:\nListing of households was conducted in all 796 PSUs in July, 2017. The listing exercise was followed by a systematic selection of households involved in the survey. A total of 680 interviewers were recruited from their respective regions to conduct interviews in the selected households.\n\nTraining of Trainers (ToT) took place in the last week of October 2017 in Dodoma Region. Training of field staff (interviewers, supervisors, quality control staff and editors) was conducted in Dodoma City for 14 days from 6th to 19th November 2017.\n\nData Collection:\nData collection was conducted using tablets (CAPI) with internet connectivity for a timely transmission of data to NBS Headquarters. Data collection, editing and processing were done concurrently.\n\nPilot Test:\nThe reviewing of the survey instruments was conducted in Morogoro in December 2017. A Pilot Survey took place in June 2018 in Dodoma and Kilimanjaro regions."},"analysis_info":{"response_rate":"Out of 9,552 selected households, 9,465 households participated in the survey yielding a response rate of 99 percent."}},"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\nExample:\n\nNational Bureau of Statistics. Tanzania Household Budget Survey (HBS) 2017-2018. Ref. TZA_2018_HBS_v01_M. 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