Data Contruction of Danish Residential Neighbourhoods for 1986-2016

Anna Damm (), Ahmad Hassani () and Marie Louise Schultz‐Nielsen ()
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Ahmad Hassani: Department of Economics and Business Economics, Aarhus University, Postal: Aarhus University, Fuglesangs Allé 4,, DK‐8210 Aarhus V
Marie Louise Schultz‐Nielsen: The ROCKWOOL Foundation Research Unit, Postal: Ny Kongensgade 6, DK‐1472 Copenhagen K.
Authors registered in the RePEc Author Service: Marie Louise Schultz-Nielsen

Nationaløkonomisk tidsskrift, 2021, vol. 2021, issue 1, 53

Abstract: Using Danish geo‐referenced administrative housing register data, we utilise the Thiessen polygon method to cluster adjacent housing units into 1,961 (macro) Danish residential neighbourhoods with at least 600 households that are delineated by physical barriers, homogenous in terms of housing type and house ownership, compact and have unchanged boundaries over 31 years (1986‐2016). Using the same clustering criteria, we construct 8,359 (micro) Danish residential neighbourhoods with at least 150 households such that around 4 micro‐neighbourhoods constitute a macro‐neighbourhood, which respects the boundaries of the micro‐neighbourhoods. The neighbourhoods can be visualised on a map using the grid of hectare cells.

Keywords: Residential neighbourhoods; Housing; Clustering (search for similar items in EconPapers)
JEL-codes: C38 O18 R23 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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