13 datasets found
  1. n

    Tanzania Population and Housing Census 2022 - Tanzania

    • microdata.nbs.go.tz
    Updated Jan 17, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office of Chief Goverment Statistician (2025). Tanzania Population and Housing Census 2022 - Tanzania [Dataset]. https://microdata.nbs.go.tz/index.php/catalog/45
    Explore at:
    Dataset updated
    Jan 17, 2025
    Dataset provided by
    National Bureau of Statistics
    Office of Chief Goverment Statistician
    Time period covered
    2022
    Area covered
    Tanzania
    Description

    Abstract

    The main purpose of this report is to provide a short descriptive analysis and related tables on main thematic areas covered in the 2022 Population and Housing Census. Areas covered include population and household characteristics, social and economic activities. Other reports in the series of Census publications include Regional Demographic and Socio-Economic Profiles and Thematic Reports.

    The 2022 PHC results are for integrated plans and sustainable development of the country and will increase awareness and transparency in allocation of resources at all levels of administration based on the actual population. The results will be used by the Government and stakeholders in monitoring and evaluating various national, regional and international development frameworks including the Tanzania Development Vision 2025 and Zanzibar Development Vision 2050; the Third National Five -Year Development Plan 2021/22 - 2025/26 and Zanzibar Development Plan 2021/22 - 2025/26; the East African Community Vision 2050; Southern and African Development Community Vision 2050 and the African Development Agenda 2063.

    Furthermore, the results will enable the country to evaluate the progress of implementation of Sustainable Development Goals (United Nations Sustainable Development Agenda 2030); goals that aim at achieving equality and eradicating poverty of all kinds including extreme poverty by 2030 by ensuring no one is left behind. The census data will also provide a basis for the computation of several indicators such as enrolment and literacy rates, infant and maternal mortality rates, unemployment rate and others.

    Geographic coverage

    Tanzania Mainland and Zanzibar

    Analysis unit

    Household and Individual

    Universe

    Entire population of the country

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    The country was devided in Hamlets and only one type of Questionnaire long questionnaire was mainly used. There were other questionnaires (community; persons on transit, hotel/lodge residents and hospital in-patients; and persons with no fixed Residence) which were administered during enumeration. Apart from the main Census questionnaire there was also building questionnare for counting the number of existing buildings in Tanzania

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The 2022 PHC had three main digital tools for data collection.

    • The first one was a community questionnaire, which collected information on all social amenities; land use patterns and environmental or natural features and available community infrastructure.

    • The second tool was the main census questionnaire which collected detailed information on demographics, including fertility, mortality, migration, orphanhood, and disabilities; possession of national documents, education level and economic activities. It also collected information on land ownership and information related to ICT ownership and use, housing, utilities, ownership of assets and agriculture.

    • The third tool was a questionnaire for special population groups such as diplomats and travellers.

    All queationnaires are published in English and Kiswahili Language

    Cleaning operations

    Data editing started during the data collection time where by data with some gaps were fixed at the field level after been noted by the Headquater team. This was done by notifying enumarators at the field to make follow and fix the gap. After the enumeration of all data, data were downloaded from the server and then office editing started. The CsPro editing program waswas used followed by the SPSS for further cleaning and tabulation exercse.

  2. e

    Tanzania - Region & District Boundary - Dataset - ENERGYDATA.INFO

    • energydata.info
    Updated Jul 23, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Tanzania - Region & District Boundary - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/tanzania-region-district-boundary-2012
    Explore at:
    Dataset updated
    Jul 23, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Tanzania
    Description

    The datasets are curated from the Tanzania National Bureau of Statistics (NBS) 2012 Population and Housing Census (PHC) of Tanzania which was preceded by the preparatory geographic work, which involved field visiting of all regions, districts, wards/shehia, villages/mitaa, localities and sub-villages in the country, primarily to create and delineate Enumeration Area boundaries (EAs) so as to produce maps required for census operations. The most important principle followed in delineating an EA was that under no circumstance should an EA overlap the existing administrative boundaries of regions, districts, wards/shehia or villages/mitaa. Adherence to this principle was necessary since the census results were to be presented at the level of these administrative units. The National Bureau of Statistics (NBS) intends to provide a geo-database with spatial and non-spatial information at five levels of geography, to facilitate presentation of data from censuses and other surveys. These levels are regional (level one), district (level two), ward/shehia (level three), villages/mitaa (level four) and enumeration areas (level five). Levels one and two have been put onto the NBS website in June, 2013 for use by various stakeholders, and the web-page will be updated to include other levels of shapefiles when they are ready for use. To learn more, please visit website https://sensa.nbs.go.tz/

  3. sensa.info - Historical whois Lookup

    • whoisdatacenter.com
    csv
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    AllHeart Web Inc, sensa.info - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/sensa.info/
    Explore at:
    csvAvailable download formats
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Jul 1, 2025
    Description

    Explore the historical Whois records related to sensa.info (Domain). Get insights into ownership history and changes over time.

  4. Seair Exim Solutions

    • seair.co.in
    Updated Feb 6, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Seair Exim (2025). Seair Exim Solutions [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 6, 2025
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  5. Seair Exim Solutions

    • seair.co.in
    Updated Apr 5, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Seair Exim (2025). Seair Exim Solutions [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Apr 5, 2025
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Explore detailed Sensa import data of Rb Health Us Llc in the USA—product details, price, quantity, origin countries, and US ports.

  6. A

    Tanzania - Region & District Boundary

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    geojson, shp zip
    Updated Jul 24, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    World Bank (2024). Tanzania - Region & District Boundary [Dataset]. https://data.amerigeoss.org/dataset/tanzania-region-district-boundary-2012
    Explore at:
    shp zip, geojsonAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    World Bank
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Tanzania
    Description

    The datasets are curated from the Tanzania National Bureau of Statistics (NBS) 2012 Population and Housing Census (PHC) of Tanzania which was preceded by the preparatory geographic work, which involved field visiting of all regions, districts, wards/shehia, villages/mitaa, localities and sub-villages in the country, primarily to create and delineate Enumeration Area boundaries (EAs) so as to produce maps required for census operations. The most important principle followed in delineating an EA was that under no circumstance should an EA overlap the existing administrative boundaries of regions, districts, wards/shehia or villages/mitaa. Adherence to this principle was necessary since the census results were to be presented at the level of these administrative units. The National Bureau of Statistics (NBS) intends to provide a geo-database with spatial and non-spatial information at five levels of geography, to facilitate presentation of data from censuses and other surveys. These levels are regional (level one), district (level two), ward/shehia (level three), villages/mitaa (level four) and enumeration areas (level five). Levels one and two have been put onto the NBS website in June, 2013 for use by various stakeholders, and the web-page will be updated to include other levels of shapefiles when they are ready for use. To learn more, please visit website https://sensa.nbs.go.tz/

  7. W

    Tanzania - Agriculture Sample Census Survey 2007-2008

    • cloud.csiss.gmu.edu
    • open.africa
    • +1more
    csv
    Updated Jul 15, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Open Africa (2021). Tanzania - Agriculture Sample Census Survey 2007-2008 [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/tanzania-utafiti-wa-sampluli-sensa-ya-kilimo-2007-2008
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 15, 2021
    Dataset provided by
    Open Africa
    Area covered
    Tanzania
    Description

    At th e end of the 2007/08 Agricultural Year, the National Bureau of Statistics (NBS) in collaboration with the Ministries of Agriculture, Food Security and Cooperatives, Livestock and Fisheries Development; Water; Industry and Trade; the Prime Minister’s Office, Regi onal Administration and Local Government (P M

    O

    RALG) and the Office of the Chief Government Statistician, (OCGS), Ministries of Agriculture and Natural Resources; Livestock and Fisheries conducted the 2007/08 Agricultur al Sample Census. This is the fourth A gricultur al Census to be carried out in Tanzania, the first one was conducted in 1971/72, the second in 1993/94 and 1994/95 (during 1993/94 data on household characteristics and livestock count were collected and data on crop area and production in 1994/95 ), and the third was conducted in 2002/03.

    Agriculture is an important sector of the Tanzanian economy in terms of food production, employment generation, production of raw material for industries, and generation of foreign exchange ear nings. The agricultural sector produce d about 26 percent of GDP (Economic Survey, 20 08 ). Having a diversity of climatic and geographical zones, Tanzania’s farmers grow a wide variety of food and cash crops as well as fruit s , vegetables and spices.

  8. W

    Population by village/Mtaa level 2012 PHC

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    csv
    Updated Jul 15, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Open Africa (2021). Population by village/Mtaa level 2012 PHC [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/idadi-ya-watu-kwa-ngazi-ya-vijiji-mtaa-kwa-sensa-ya-mwaka-2012
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 15, 2021
    Dataset provided by
    Open Africa
    Description

    The population data which are provided obtained from 2012 population and Housing Census. Populations at village level are very importance for public and private institution during the process of making planning decision at village level.

  9. Population Trends by Administrative Unit; 1967-2012 Censuses

    • open.africa
    • data.wu.ac.at
    csv
    Updated Aug 20, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Tanzania National Bureau of Statistics (2019). Population Trends by Administrative Unit; 1967-2012 Censuses [Dataset]. https://open.africa/sk/dataset/ongezeko-la-idadi-ya-watu-kwa-ngazi-za-utawala-1967-2012-sensa
    Explore at:
    csvAvailable download formats
    Dataset updated
    Aug 20, 2019
    Dataset provided by
    National Bureau of Statisticshttp://www.nbs.go.tz/
    Description

    The population of Tanzania has grown from 12,313,469 persons in the 1967 Census to 44,928,923 persons counted in 2012.

    • Unit Used- Absolute Number.

    • Data collection methodology- Used Questionnaire which were addressed to the household by counted those who slept on the census night.

  10. w

    Population Density by Region 1967, 1978, 1988, 2002 and 2012

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    csv
    Updated Dec 5, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Bureau of Statistics (NBS) (2016). Population Density by Region 1967, 1978, 1988, 2002 and 2012 [Dataset]. https://data.wu.ac.at/odso/opendata_go_tz/NTAyMTFlZTgtZmIxYS00MDgyLTg1ZTMtNjU1YWVlMDg3YTgw
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 5, 2016
    Dataset provided by
    National Bureau of Statistics (NBS)
    Description

    Tanzania is sparsely populated with population density of 51 persons per square kilometre with variation across regions. Dar es Salaam and Mjini Magharibi are densely populated regions with population densities of 3,133 and 2,581 persons per square kilometre respectively.

  11. o

    Tanzania - Agriculture Sample Census Survey 2002-2003

    • open.africa
    • data.wu.ac.at
    Updated Aug 20, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2019). Tanzania - Agriculture Sample Census Survey 2002-2003 [Dataset]. https://open.africa/dataset/tanzania-utafiti-wa-sampluli-sensa-ya-kilimo-2002-2003
    Explore at:
    Dataset updated
    Aug 20, 2019
    Area covered
    Tanzania
    Description

    The 2003 Agriculture Sample Census was designed to meet the data needs of a wide range of users down to district level including policy makers at local, regional and national levels, rural development agencies, funding institutions, researchers, NGOs, farmer organisations, etc. As a result the dataset is both more numerous in its sample and detailed in its scope compared to previous censuses and surveys. To date this is the most detailed Agricultural Census carried out in Africa.

  12. o

    Kiwango Cha Umasikini Katika Kaunti - 2009

    • open.africa
    • cloud.csiss.gmu.edu
    • +1more
    csv, json, rdf, xml
    Updated Jun 18, 2015
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2015). Kiwango Cha Umasikini Katika Kaunti - 2009 [Dataset]. https://open.africa/dataset/activity/kiwango-cha-umasikini-katika-kaunti-2009
    Explore at:
    rdf, xml, csv, jsonAvailable download formats
    Dataset updated
    Jun 18, 2015
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    2009 Census/Sensa Kiwango Cha Umasikini Katika Kaunti

  13. o

    Vol II Jedwali 2: Idadi ya watu waliona miaka 3 na za zaidi kulingana na...

    • open.africa
    Updated Jun 24, 2015
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2015). Vol II Jedwali 2: Idadi ya watu waliona miaka 3 na za zaidi kulingana na jinsia na kiwango cha juu cha elimu kilichofikiwa Katika Kaunti - 2009 - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/vol-ii-jedwali-2-idadi-ya-watu-waliona-miaka-3-na-za-zaidi-kulingana-na-jinsia-na-kiwango--589a3
    Explore at:
    Dataset updated
    Jun 24, 2015
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    2009 Census Sensa County Kaunti

  14. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Office of Chief Goverment Statistician (2025). Tanzania Population and Housing Census 2022 - Tanzania [Dataset]. https://microdata.nbs.go.tz/index.php/catalog/45

Tanzania Population and Housing Census 2022 - Tanzania

Explore at:
Dataset updated
Jan 17, 2025
Dataset provided by
National Bureau of Statistics
Office of Chief Goverment Statistician
Time period covered
2022
Area covered
Tanzania
Description

Abstract

The main purpose of this report is to provide a short descriptive analysis and related tables on main thematic areas covered in the 2022 Population and Housing Census. Areas covered include population and household characteristics, social and economic activities. Other reports in the series of Census publications include Regional Demographic and Socio-Economic Profiles and Thematic Reports.

The 2022 PHC results are for integrated plans and sustainable development of the country and will increase awareness and transparency in allocation of resources at all levels of administration based on the actual population. The results will be used by the Government and stakeholders in monitoring and evaluating various national, regional and international development frameworks including the Tanzania Development Vision 2025 and Zanzibar Development Vision 2050; the Third National Five -Year Development Plan 2021/22 - 2025/26 and Zanzibar Development Plan 2021/22 - 2025/26; the East African Community Vision 2050; Southern and African Development Community Vision 2050 and the African Development Agenda 2063.

Furthermore, the results will enable the country to evaluate the progress of implementation of Sustainable Development Goals (United Nations Sustainable Development Agenda 2030); goals that aim at achieving equality and eradicating poverty of all kinds including extreme poverty by 2030 by ensuring no one is left behind. The census data will also provide a basis for the computation of several indicators such as enrolment and literacy rates, infant and maternal mortality rates, unemployment rate and others.

Geographic coverage

Tanzania Mainland and Zanzibar

Analysis unit

Household and Individual

Universe

Entire population of the country

Kind of data

Census/enumeration data [cen]

Sampling procedure

The country was devided in Hamlets and only one type of Questionnaire long questionnaire was mainly used. There were other questionnaires (community; persons on transit, hotel/lodge residents and hospital in-patients; and persons with no fixed Residence) which were administered during enumeration. Apart from the main Census questionnaire there was also building questionnare for counting the number of existing buildings in Tanzania

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2022 PHC had three main digital tools for data collection.

  • The first one was a community questionnaire, which collected information on all social amenities; land use patterns and environmental or natural features and available community infrastructure.

  • The second tool was the main census questionnaire which collected detailed information on demographics, including fertility, mortality, migration, orphanhood, and disabilities; possession of national documents, education level and economic activities. It also collected information on land ownership and information related to ICT ownership and use, housing, utilities, ownership of assets and agriculture.

  • The third tool was a questionnaire for special population groups such as diplomats and travellers.

All queationnaires are published in English and Kiswahili Language

Cleaning operations

Data editing started during the data collection time where by data with some gaps were fixed at the field level after been noted by the Headquater team. This was done by notifying enumarators at the field to make follow and fix the gap. After the enumeration of all data, data were downloaded from the server and then office editing started. The CsPro editing program waswas used followed by the SPSS for further cleaning and tabulation exercse.

Search
Clear search
Close search
Google apps
Main menu