This study is provided by ICPSR. ICPSR provides leadership and training in data access, curation, and methods of analysis for a diverse and expanding social science research community.

Population Registers of Sart, Belgium, 1811-1900 (ICPSR 32461)

Principal Investigator(s): Oris, Michel, University of Geneva; Alter, George, University of Michigan; Neven, Muriel, University of Liège


The population registers of Sart are part of the Historical Database of the Liège Region (HDLR), which was collected with funding from the University of Liège and the National Institute on Aging (NIA). HDLR is a collection of data describing the characteristics and vital events of individuals from a sample of municipalities in Eastern Belgium spanning the period from 1806 through 1900. It consists of nineteenth century and early twentieth century microdata, which means that it provides information on individuals and the households they belonged to. Because the focus of the National Institute on Aging funded project was on the dynamic of life course transitions, particular attention was given to sources with a longitudinal dimension, showing not a static cross-section but a span of time. The Belgian population registers are exceptionally good sources for longitudinal analysis. Since these registers record dates of in- and out-migration, we are able to reconstruct the population at risk at every point in time. In addition, population registers give us information about household composition as it changed over time. Since migration is recorded in the population registers, a much wider range of analyses are possible. They allow us to reconstruct the biographies of everyone living in these municipalities during most of the nineteenth century. We know not only when they were born, married, and died, but also the lives of their parents, siblings, and children. In other words, it is possible to trace the individuals through time.

Access Notes

  • These data are flagged as replication datasets and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.

  • The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.


Dataset - Download All Files (2.676 MB)

Study Description


Oris, Michel, George Alter, and Muriel Neven. Population Registers of Sart, Belgium, 1811-1900. ICPSR32461-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2011-09-30. https://doi.org/10.3886/ICPSR32461.v1

Persistent URL: https://doi.org/10.3886/ICPSR32461.v1

Export Citation:

  • RIS (generic format for RefWorks, EndNote, etc.)
  • EndNote XML (EndNote X4.0.1 or higher)


This study was funded by:

  • United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (P01AG018314)

Scope of Study

Subject Terms:    household composition, households, life events, lifestyles, municipalities, population migration

Smallest Geographic Unit:    commune

Geographic Coverage:    Belgium, Global, Sart

Time Period:   

  • 1811--1900

Unit of Observation:    household; individual

Universe:    All persons who lived in the commune of Sart, Belgium, between 1811 and 1900.

Data Type(s):    census/enumeration data, event/transaction data

Data Collection Notes:

The data were produced in 1997 in Liège, Belgium, and in Bloomington, Indiana (Indiana University).

The data are distributed as a Microsoft Excel and Microsoft Access data file. A Microsoft Word document contains data file notes.

These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigators if further information is desired.


Time Method:    Longitudinal


Original ICPSR Release:   2011-09-30

Related Publications


Metadata Exports

If you're looking for collection-level metadata rather than an individual metadata record, please visit our Metadata Records page.

Download Statistics