In this paper we use geo-coded, individual level register data on four European countries to compute comparative measures of segregation that are independent of existing geographical sub- divisions. The focus is on non-European migrants, and using aggregates for egocentric neighbourhoods with different population counts, small-scale, medium-scale, and large-scale segregation patterns are assessed. At the smallest scale level, corresponding to neighbourhoods with 200 persons, patterns of over- and under-representation are strikingly similar. At larger scale levels, Belgium stands out as having relatively strong over- and under-representation. More than 55% of the Belgian population lives in large-scale neighbourhoods with moderate under- or over- representation of non-European migrants. In the other countries, the corresponding figures are between 30 % and 40%. Possible explanations for this pattern are differences in housing policies and refugee placement policies. Sweden has the largest and Denmark the smallest non-European migrant population, in relative terms. Thus, in both migrant-dense and native-born dense areas, Swedish neighbourhoods have a higher concentration, and Denmark a lower concentration of non- European migrants than the other countries. For large-scale, migrant-dense neighbourhoods, however, levels of concentration are similar in Belgium, the Netherlands, and Sweden. Thus, if this pattern is linked to a high concentration of disadvantaged population groups, it shows that these countries are facing similar policy challenges with respect to neighbourhood contexts. Contexts that can have negative effects on outcomes such as employment, income and education. ; Residential segregation in five European countries