11.08.2015 Views

http://www.tandfonline.com/page/terms-andconditions

The special importance of housing policy for ethnic minorities ...

The special importance of housing policy for ethnic minorities ...

SHOW MORE
SHOW LESS
  • No tags were found...

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

International Journal of Housing Policy 11Downloaded by [Norsk Institutt for By og] at 07:07 11 March 2013<strong>com</strong>pared, while Table 5 <strong>com</strong>pares the average personal in<strong>com</strong>es in the different tenures.Based on these statistics, two indices of in<strong>com</strong>e segmentation have been calculated asshown at the bottom of each table. Table 4 shows to what extent households in differentin<strong>com</strong>e groups are separated between owning and renting. Table 5 shows to what extentmeasures of personal in<strong>com</strong>e diverge between different tenures.Table 4 shows that a much lower proportion of the households in the lowest householdin<strong>com</strong>e quartile in Norway are homeowners <strong>com</strong>pared with the other countries. In thehighest in<strong>com</strong>e quartile the proportion is higher. The calculated index of segmentation inTable 4 is much higher in Norway than in the other three countries. Table 5 also shows thatthe personal in<strong>com</strong>es in rented housing are relatively lower in Norway than in the othercountries. However, the calculated index of segmentation in Table 5 covering all tenures isnot very different from that of the other countries.The housing market in Denmark is not quite as in<strong>com</strong>e segmented as the Norwegianone, but more segmented than in Sweden and Finland. The figures from Sweden indicatethat the Swedish political goal of equal opportunities in different tenures has to some extentbeen achieved (Table 4).The unequal distribution of overcrowdingAnother way to look at unequal opportunities is to <strong>com</strong>pare overcrowding of differentin<strong>com</strong>e groups. In Table 6 the proportion of households in different in<strong>com</strong>e quartilesliving in overcrowded dwellings is <strong>com</strong>pared between four Nordic countries. An indexfor in<strong>com</strong>e inequality between in<strong>com</strong>e groups is calculated as the sum of the absolutedifferences between overcrowding in each group and the whole population includingimmigrants.The table indicates, surprisingly, that Sweden has the highest differences betweenin<strong>com</strong>e groups and Norway the lowest. Only 14% of the households in the lowest quartilein Norway live in overcrowded housing, while Table 10 shows that 45% of immigrants(individuals) in Norway are in this situation. Given market pricing of all housing in Norway<strong>com</strong>bined with immigrants’ low in<strong>com</strong>es, one explanation could be that many immigrantsare forced into smaller owner-occupied dwellings. Moreover, most of the rentals are smalldwellings (Schmidt, 2009).Table 6. Proportion of households in different in<strong>com</strong>e quartiles living in overcrowded dwellings2006 (%).Denmark Finland Norway SwedenHousehold in<strong>com</strong>e quartile1 18 20 14 262 7 10 7 123 6 6 5 94 3 4 3 5All 8 10 7 13Index for in<strong>com</strong>e inequality 19 20 14 26Source: Nordisk Socialstatistisk Komité, cited in Normann, Rønning, & Nørgaard (2009).Index = Sum q = 1–4 (abs(overcrowd q – overcrowd all )).

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!