@article{JRC124765,
	number = {KJ-NA-30692-EN-N (online)},
	address = {Luxembourg (Luxembourg)},
	issn = {1831-9424 (online)},
	year = {2021},
	author = {Melchiorri M and Schiavina M and Carneiro Freire SM and Maffenini L and Kemper T and Dijkstra L},
	isbn = {978-92-76-37556-2 (online)},
	publisher = {Publications Office of the European Union},
	abstract = {The Degree of Urbanisation is a method to delineate urban and rural areas for international statistical comparison. It relies on geospatial data that are generally available in National Statistical Offices and can be implemented with open and free data and tools. This report explains the application of the Degree of Urbanisation method to the 2018 edition of the National Census of Colombia, using tools produced in the framework of the Global Human Settlement Layer project of the European Commission Directorate General Joint Research Centre. The Degree of Urbanisation is applied in a two-stage process to a population grid (obtained combining census data with a built-up surface layer extracted from Copernicus Sentinel-2 imagery): first grid cells are classified based on population size and density criteria, then small local administrative units are classified into cities, towns and semi-dense areas, and rural areas. The completeness and open data policy of the 2018 census of Colombia allows to classify small territorial units, and to disaggregate six demographic and housing variables by Degree of Urbanisation. These include sex ratio and access to infrastructure, like connectivity to internet and access to electricity among others. This technical report contains practical guidance for the application of the Degree of Urbanisation method to national demographic and housing census/surveys and complements the EUROSTAT manual on how to apply the Degree of Urbanisation, produced at the request of the 51st Session of the United Nations Statistical Commission.
		},
	title = {Applying the Degree of Urbanisation method to National Population and Housing Census with GHSL Tools},
	url = {},
	doi = {10.2760/939289 (online)}
}