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Investigating neighbourhood concentration of immigrants in Poland

Explorative evidence from Kraków

Bibliographic Data

ID21188293
AuthorsMarcin Stonawski (0000-0003-4550-2824, Krakow University of Economics), Jan Brzozowski (0000-0001-8517-3485, Statistics Denmark), Konrad Pędziwiatr (0000-0002-7547-6789, Krakow University of Economics), Marina Georgati (0000-0001-7794-8308, Aalborg University)
Year2022
Issue56
Pages143-159
Publication date2022-06-28
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBulletin of Geography. Socio-economic Series (JOURNAL)
Journal identifiersISSN: 1732-4254 • E-ISSN: 2083-8298
PublisherUniwersytet Mikolaja Kopernika/Nicolaus Copernicus University (PUBLISHER)
DOI10.12775/bgss-2022-0019
OpenAlexW4291721799
LanguageEN
Citations received1
References cited20

Aim. This study contributes to research on new immigrant destinations in CEE by investigating the neighbourhood concentration of immigrants in Poland. We focus on Kraków – the second largest city – for which we have built a unique register-based dataset containing geocoded individual level data. To our knowledge, it is the first high-quality dataset of this type, prepared and used for research purposes in Poland. We use it to describe immigrants’ spatial allocation at a relatively early stage of immigration using the kNN approach. Results and conclusions. We find that whereas foreigners compose around 4.2% of city population, 50% of the city inhabitants live in the 200 kNNs with a share of foreigners below 2.2%. The DI for the immigrants is 0.45. Yet, a relatively high concentration could be seen among foreigners from Asia and America. However, immigrants from Ukraine and other Eastern European, non-EU countries are much more evenly spread around the city

Archaeology · Demographic economics · Economic geography · Economics · Geography · Immigration · Mathematics · Migration and Labor Dynamics · Names, Identity, and Discrimination Research · Urban, Neighborhood, and Segregation Studies

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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