The Quetelet Center for Quantitative Historical Research is an interfaculty and interdisciplinary service centre that offers advice and expertise on the use of historical data that can be studied statistically or in map form.

Researchers from all disciplines and the general public can come to us with questions about the use of quantitative and quantifiable sources on Belgium's past.

In the spotlight

POPPKAD / PUBLICATION / OCTOBER 2021

Studies on the nineteenth century past of Ostend are rare.  Recently, Luc François (Prof. em. UGent) and Pieter François (University of Oxford) published a remarkable study on the earliest cadastral register of Ostend. They analyse the spatial planning, the buildings, the distribution of wealth and the distribution of the population in unprecedented detail on the basis of cadastral data that were converted into detailed maps by the Quetelet Center.

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STREAM / PUBLICATION / SEPTEMBER 2021

Mills are back. After disappearing for centuries, these sources of power are rising from the ground everywhere and making a valuable contribution to energy consumption.  In the past, these tools also determined the rural appearance of Flanders. The Quetelet Center has made a unique survey map of the distribution of mills around 1774.

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LOKSTAT / PUBLICATION / AUGUST 2021

During the nineteenth century, Belgium underwent a transformation from a country with modest mobility to an area with intense commuting and transport movements. Ingrid Schepers (UA) investigates the impact of transport policy on labour mobility and shows how access to the transport network played a key role in spatial planning and the development of society.

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HISSTER / BLOGPOST / MAY 2021

The vaccination campaigns against covid-19 are in full swing in Belgium, but are not going smoothly everywhere. There are large differences between municipalities. This was also the case for the first vaccinations against smallpox, some two centuries ago. Only the relationship was the other way around: the highest vaccination coverage was recorded in the poorest regions. 

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