Abstract
Aim: This study contributes to research on new immigrant destinations in Central and Eastern Europe by investigating the neighbourhood concentration of immigrants in Poland. We focus on Kraków-Poland's 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 to be prepared and used for research purposes in Poland. We use it to describe the spatial allocation of immigrants at a relatively early stage of immigration using the k-Nearest Neighbours (kNN) approach.
Results and conclusions: We find that, whereas foreigners comprise around 4.2% of the city's population, 50% of city inhabitants live in 200 kNNs that each have less than a 2.2% share of foreigners. The Dissimilarity Index for the immigrants is 0.45. Yet, there is a relatively high concentration 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.
Results and conclusions: We find that, whereas foreigners comprise around 4.2% of the city's population, 50% of city inhabitants live in 200 kNNs that each have less than a 2.2% share of foreigners. The Dissimilarity Index for the immigrants is 0.45. Yet, there is a relatively high concentration 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.
| Original language | English |
|---|---|
| Journal | Bulletin of Geography. Socio-Economic Series |
| Volume | June |
| Issue number | 56 |
| Pages (from-to) | 143-159 |
| Number of pages | 17 |
| ISSN | 1732-4254 |
| DOIs | |
| Publication status | Published - 28 Jun 2022 |