TZA-NBS-PHC-2020-ShapeFilesv01
Region Shapefile Metadata 2022 Census
Name | Country code |
---|---|
United Republic of Tanzania | TZA |
Admistrative boundaries, Census
Summary
This dataset provides detailed information about the enumeration areas used for the 2022 Population and Housing Census (PHC) in Tanzania. The data was collected from 2020 to May 2022 and is available in ESRI Shapefile format, including geographic boundaries and key attributes of each ward area. The dataset aims to support census planning, management, and analysis by offering crucial insights into population distribution and characteristics.
Purpose
The primary purpose of this dataset is to serve as a geographical reference for the ward areas used in the 2022 PHC. It aims to aid various census activities, including demographic analysis, ward area allocation, and strategic planning. The dataset is intended to improve the accuracy and efficiency of census operations by providing precise and up-to-date geographic information.
Data Structure
The dataset is provided in the ESRI Shapefile format, a popular vector data format for Geographic Information System (GIS) applications.
Geographic Coverage
The dataset covers the entire geographic area of Tanzania. The boundaries of the ward areas are drawn according to administrative regions and internal geographical features.
Administrative records data [adm]
administrative boundaries
2022-05-30
This version produced after merging EAs shapefile into hamlet then into villages and final into wards
STATISTIC CODE; Regional Codes, District Codes, Council Codes,Constitunal Codes,Divisional Codes,Ward Codes
National Coverage
Entire population of the country
Name | Affiliation |
---|---|
Tanzania National Bureau of Statistics (NBS) | MoF |
Name | Affiliation | Role |
---|---|---|
ESRI EASTERN AFRICA LIMITED | ESRI | Technical assistance in programme design |
Technical assistance in selection of methodology | ||
Technical assistance in selection of methodology | ||
President's Office, Regional Administration and Local Government Tanzania | PO-RALG | Technical assistance in boundaries identification |
Technical assistance data processing |
Name | Abbreviation | Role |
---|---|---|
Government of Tanzania | URT | Financial support |
WB | World bank | Financial support |
UNFPA | United Nations Population Fund | Financial support |
Start | End |
---|---|
2020-01-14 | 2022-05-30 |
Name | Affiliation |
---|---|
National Bureau of Statistics | Ministry of Finance |
For one to three teams together there is one supervisor and a drive
The role of the supervisor was to coordinator field data collection activities, including management of the field teams, supplies and equipment, coordinate with local authorities concerning the survey plan and make arrangements for any boundaries conflict (communicate with responsible ministry). Additionally, the field supervisor assigned the work to the interviewers, spot checked work, make sure all data are sent to central server daily or when there is stable internet. Communicate with central sever officers to make clarification about any doubt in his/her team
Each field team comprised of 2 field mappers and a driver. For one to three teams together there is one supervisor and a driver. A total of 306 mappers, 165 supervisors and 6 GIS experts and IT (station in the server) were used to collect and editing data. Data collection took place from January 14, 2020 until May 30, 2022. Interviewing took place everyday throughout the fieldwork period, although interviewing teams were permitted to take one day off for editing and correction before sending data to server.
The data editing, since the programme for data collectioon connect direct to server, so data editing was done in field with team after checking by office team if there is overlapping or shifting of boundary, or naming of the place or coding.
The spatial accuracy of the dataset is estimated to be within 3 meters, ensuring precise location information for each ward boundary.
Census, PHC 2022, Geographic, Shapefile, Mapping, Tanzania, Demographic Analysis
Name | Affiliation | URL | |
---|---|---|---|
Mr. Benedict Mugambi | National Bureau of Statistics | https://www.nbs.go.tz/statistics/geographic-information-system-gis | benedict.mugambi@nbs.go.tz |
Is signing of a confidentiality declaration required? |
---|
yes |
Any stakeholder has access to the data through public or request from the authority.
The shapefile up to level three have been shared here for public. The lower-level shapefiles are available by formal request to NBS through the following contact;
National Bureau of Statistics Tanzania
P.O. Box 2683,
64 Lusinde Road,
41104 Tambukareli, DODOMA.
Email: sg@nbs.go.tz
Phone: +255 26 2963822
Fax: +255 26 2963828
National Bureau of Statistics
https://www.nbs.go.tz/statistics/geographic-information-system-gis
2022 PHC, National Bureau of Statistics
Name | Affiliation | URL | |
---|---|---|---|
Mr. Benedict Mugambi | National Bureau of Statistics | benedict.mugambi@nbs.go.tz | https://www.nbs.go.tz/statistics/geographic-information-system-gis |
DDI-TZA-NBS-PHC-2022-v01.
Name | Affiliation | Role |
---|---|---|
National Bureau of Statistics | Ministry of Finance | Producer of Data |
2022-05-30
version 1.0