Ireland Census contains records from Scalp, Peterswell, County Galway, Ireland by Class: RG14; Census of Ireland 1901/1911. The National Archives of Ireland. http://www.census.nationalarchives.ie/search/: accessed 31 May 2013; Ancestry.com. Web: Ireland, Census, 1911 [database on-line]. Provo, UT, USA: Ancestry.com Operations, Inc., 2013. - .

Replication files (syntax) and data from: Intergenerational mobility in a mid-Atlantic economy: Canada,1871-1901.

The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

These data were originally collected by the Censuses of Population for England and Wales, and for Scotland. They were computerised by the Great Britain Historical GIS Project and its collaborators.

Latest edition information

For the second edition (October 2022), the data and documentation have been revised.

The UNI-CEN Digital Boundary File Series facilitates the mapping of UNI-CEN census data tables. Boundaries are provided in multiple formats for different use cases: Esri Shapefile (SHP), geoJson, and File Geodatabase (FGDB). SHP and FGDB files are provided in two projections: NAD83 CSRS for print cartography and WGS84 for web applications. The geoJson version is provided in WGS84 only. The UNI-CEN Standardized Census Data Tables are readily merged to these boundary files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

The ifo Prussian Economic History Database (iPEHD) is a county-level database covering a rich collection of variables for all counties of Prussia during the 19th century. The Royal Prussian Statistical Office collected these data in a number of censuses over the period 1816-1901, with much county-level information surviving in the archives. These data provide a unique treasure for unprecedented micro-regional empirical research in economic history, analyzing the importance of such factors as education, religion, fertility, and many others for the economic development of Prussia in the 19th century. The service of iPEHD is to provide the data in a digitized and structured way. iPEHD starts with the population census in 1816, which is the first full-scale census released by the Royal Prussian Statistical Office, which had been founded in 1805. The 1816 census covers the 308 Prussian counties at the time. Further extensive census data are available in 1849, 1864, 1871, and 1882, but – as indicated in the following table – many more detailed data were collected in additional years. As the number of counties grew over time, by 1901 the data cover 574 Prussian counties. In total, iPEHD contains more than 1,500 variables and more than half a million data points, all at the county level. These data are drawn from a total of 15 original sources, many of which consist of several volumes.One of the biggest challenges when analyzing historical data is to ensure comparability over time, where the dimension of the units of observation has to be comparable. Our service facilitates the analysis of data at the county level, holding the administrative boundaries fixed. iPEHD stores its data in comma-separated values (csv) format. The raw data are categorized by eight content areas and can be accessed in the raw data section. The codebook section provides information on the names, definitions, labels, and sources for each variable contained in iPEHD.

The UNI-CEN Digital Boundary File Series facilitates the mapping of UNI-CEN census data tables. Boundaries are provided in multiple formats for different use cases: Esri Shapefile (SHP), geoJson, and File Geodatabase (FGDB). SHP and FGDB files are provided in two projections: NAD83 CSRS for print cartography and WGS84 for web applications. The geoJson version is provided in WGS84 only. The UNI-CEN Standardized Census Data Tables are readily merged to these boundary files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

BBCE data for entrepreneurs by sectors for Burghs in Scotland 1851-1901. Detailed definitions and method given in WP 6. The downloads include the total number of the economically active population from the BBCE broken down by sector, sex, for employers, own-account proprietors, and workers. All data are weighted for census non-response bias in 1891-1901.

These data have been generated as part of the work being undertaken by the Kingston Local History Project. The aim of this project is to create a comprehensive database covering the people who lived, worked and died in Kingston upon Thames between 1850 and 1911. The core of the database is the census enumerators' returns for each census year between 1851 and 1891, supplemented by vital registration sources such as parish registers (baptisms, marriages and burials) and the local authority cemetery records.

Analysis of the data is providing a wealth of information on such questions as occupational structures; class profiles; household structures; demographic trends etc., and indicating how these changed over time. For example, this burial database has provided a great deal of material on mortality in Kingston between 1850 and 1911, including the age profile of mortality (in particular highlighting the high and increasing incidence of infant mortality), and the seasonality of mortality. By linking these data to other sources such as the census enumerators' books, maps and Medical Officer of Health reports, we can examine the influence of such factors as location, housing conditions, father's occupation (in the case of infants) etc. on mortality.

Census: Population: Assam: Dibrugarh data was reported at 144,063.000 Person in 03-01-2011. This records an increase from the previous number of 137,661.000 Person for 03-01-2001. Census: Population: Assam: Dibrugarh data is updated decadal, averaging 37,991.000 Person from Mar 1901 (Median) to 03-01-2011, with 11 observations. The data reached an all-time high of 144,063.000 Person in 03-01-2011 and a record low of 11,227.000 Person in 03-01-1901. Census: Population: Assam: Dibrugarh data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC004: Census: Population: By Towns and Urban Agglomerations: Assam.

The UNI-CEN Digital Boundary File Series facilitates the mapping of UNI-CEN census data tables. Boundaries are provided in multiple formats for different use cases: Esri Shapefile (SHP), geoJson, and File Geodatabase (FGDB). SHP and FGDB files are provided in two projections: NAD83 CSRS for print cartography and WGS84 for web applications. The geoJson version is provided in WGS84 only. The UNI-CEN Standardized Census Data Tables are readily merged to these boundary files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

This data contains HISCO codes based on OccCANINE (Dahl, Johansen, Vedel, 2024), for the Link Lives data census data 1787-1901. A classification threshold of 0.11 was used (which is optimal for Danish sources). 200 randomly drawn observations were checked to be accurate in 94.0 percent of cases.

The UNI-CEN Digital Boundary File Series facilitates the mapping of UNI-CEN census data tables. Boundaries are provided in multiple formats for different use cases: Esri Shapefile (SHP), geoJson, and File Geodatabase (FGDB). SHP and FGDB files are provided in two projections: NAD83 CSRS for print cartography and WGS84 for web applications. The geoJson version is provided in WGS84 only. The UNI-CEN Standardized Census Data Tables are readily merged to these boundary files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.