dataLegendCreated on Sep 27th, 2017
9.120.670 statements

Dataset containing over 360,000 observations of stature of individuals (predominantly males), sometimes including more indicators such as age or occupation. Observations run from the seventeenth through the twentieth century and cover different countries. See the attached file 'Dataset description' for more information on data provenance and sources.

1.962.997 statements

Clio Infra contains a number of interconnected databases containing worldwide data on social, economic, and institutional indicators for the past five centuries, with special attention to the past 200 years. These indicators allow research into long-term development of worldwide economic growth and inequality. See also this datastory

4.076.244 statements

The Catasto is a tax survey conducted in Florentine territory between 1427 and 1429. This version uses the data of David Herlihy and Christiane Klapisch-Zuber as described in their book Tuscans and their Families: A Study of the Florentine Catasto of 1427. The dataset holds information on c. 60,000 households, including wealth, debts and assets, household size, property ownership, and sometimes the occupational status of the head. See also this datastory

Deaths in The Netherlands between 1910-20, using death certificates from, modelled using LINKS Zeeland challenge datamodel.

Repo of csv files for testing CoW

The Historical Database of Dutch Municipalities (Historische Database Nederlandse Gemeenten (HDNG)) provides a wide range of characteristics of Dutch municipalities in the period 1800 - ca. 1970. This dataset contains the latest 2020 files from the HDNG as received from Onno Boonstra and harmonized by Rick Mourits. Variables can be accessed either through municipalities or the HDNG variable codes. This version further has standardized variable descriptions and specifications. The LOD conversion scripts can be found here.

Records of migrants (~ 2,000) entering and leaving The Hague around 1750, with occupation, marital status, place of birth and/or origin. Geocoded and coded into hisco, hisclass and hiscam.

The Linked International Classification for Religions. This Classification Systems provides mappings to various other well known system (IPUMS, NAPP, HL7) and is enriched with descriptions from DBPedia.

This is the CEDAR subset-fully-harmonized (S). The full set is not harmonized. Instead 'S':

  • covers the period 1859-1920
  • its variables are fully harmonized (sex, residence status, house type, municipality, year, lower level municipal areas)
  • is well tested

The Primary, Secondary, Tertiary system of occupational coding has been developed by Professor E.A. Wrigley in conjunction with Ms Ros. Davies.

Nederland telt bijna 400 gemeenten. In 1812 waren dat er meer dan 1100. In twee eeuwen vol herindelingen, annexaties en fusies heeft Nederland bijna 1700 gemeenten gekend. De data van gemeentegeschiedenis is gebouwd op twee datasets: het Repertorium van Nederlandse gemeenten vanaf 1812 van Ad van der Meer en Onno Boonstra en de bij DANS gedeponeerde NLGis shapefiles van Onno Boonstra, waarin van elk jaar van 1812 tot 1997 de gemeentegrenzen zijn vastgelegd.

Dataset of migrants entering Haarlem between 1714 and 1776 (sample of 1,000 records)

Dataset containing tables from Boudien de Vries' Electoraat en Elite (1986)

Population of European, Middle Eastern and North African cities from 700 to 2000 (in thousands). Expanded and revised figures for Europe by Eltjo Buringh are included seperately. Published paper introducing these data can be found [here] (

turtle file van straten van Amsterdamse straten zoals weergegeven door Adamlink op 28-11-2017

Dataset containing occupational coding files and occupational classification and stratification schemes

Netherlands Strikes, lockouts and other forms of labour conflict (number, number of companies, workers, days lost), 1372-2010.

deprecated version of HISCO. Please use HistoryOfWork/HISCO-latest. Labels, codes and for HISCO (Van Leeuwen, Maas and Miles 2004), the Historical International Standard Classification of Occupations. Please cite the resources.

HISCAM scales as per Lambert et al 2013. Indicate 'high' and 'low' positions of occupations for various time periods and countries