Table 3.
Levels of BDE-209 (ng/g) in household dust
| Country | n | Mean | Median | Range | % | Notes | Reference |
|---|---|---|---|---|---|---|---|
| USA | 2000 | Sjodin et al. 2004 | |||||
| USA | 9 | 8567 | 665 | 143–65777 | Houses in Dallas | Schecter et al. 2005b | |
| USA | 17 | 2090 | 1350 | 162–8750 | 36 | Stapleton et al. 2005 | |
| USA | 50 | <LOD-9600 | Wu et al. 2007 | ||||
| USA | 10 | 2000 | 120–21000 | Sjodin et al. 2008 | |||
| USA | 17 | 1600 | 1300 | 530–3300 | Houses in Texas | Harrad et al. 2008a | |
| USA | 20 | 4502 | 792–184600 | Living rooms | Allen et al. 2008 | ||
| USA | 20 | 1703 | 24–36130 | Bedrooms | Allen et al. 2008 | ||
| USA | 18 | 11000 | 190 | Houses | Batterman et al. 2009 | ||
| USA | 9 | 200000 | 7 | Garages | Batterman et al. 2009 | ||
| USA | 16 | 15000000 | 3100 | Cars | Batterman et al. 2009 | ||
| USA | 60 | 272119 | 48100 | 4380–3570000 | Used cars | Lagalante et al. 2009 | |
| USA | 12 | 2810 | 903 | 327–9210 | Johnson-Restrepo and Kannan, 2009 | ||
| USA | 10 | 6930 | 1 | <LOD-29000 | Offices in Michigan | Batterman et al. 2010 | |
| USA | 50 | 1909 | 425–32366 | 100 | Johnson et al. 2010b | ||
| Canada | 68 | 1100 | 630 | 74–10000 | Wilford et al. 2005 | ||
| Canada | 7 | 670 | 560 | 290–1100 | Harrad et al. 2008a | ||
| Sweden | 5 | 470 | 44–1560 | Karlsson et al. 2007 | |||
| Denmark | 2 | 330–470 | Santillo et al. 2001 | ||||
| Denmark | 1 | 260 | 69 | Santillo et al. 2003 | |||
| Finland | 1 | 1100 | Santillo et al. 2001 | ||||
| Finland | 1 | 100 | 78 | Santillo et al. 2003 | |||
| Germany | 2 | 290–1500 | Parliament | Santillo et al. 2001 | |||
| Germany | 980 | Knoth et al. 2003 | |||||
| Germany | 10 | 63 | <6–410 | Sjodin et al. 2008 | |||
| UK | 10 | 9820 | 7100 | 3800–19900 | 94 | Santillo et al. 2003 | |
| UK | 9 | 1401–54795 | Pless-Mulloli et al. 2006 | ||||
| UK | 10 | 10000 | 910–54000 | Sjodin et al. 2008 | |||
| UK | 16 | 45000 | 2800 | 120–520000 | Harrad et al. 2008a | ||
| UK | 30 | 260000 | 8100 | <LOD-2200000 | Homes | Harrad et al. 2008b | |
| UK | 18 | 30000 | 6200 | 620–280000 | Offices | Harrad et al. 2008b | |
| UK | 20 | 410000 | 100000 | 12000–2600000 | Used cars | Harrad et al. 2008b | |
| UK | 43 | 8500 | 5000 | 49–88000 | Schools and daycare centers | Harrad et al. 2010 | |
| Austria | 2 | 340–510 | Parliament | Santillo et al. 2001 | |||
| Belgium | 19 | 13.8 | 11.1 | 3.6–33.1 | 45–93 | Roosens et al. 2009 | |
| Netherlands | 4 | 260–800 | Parliament | Santillo et al. 2001 | |||
| Italy | 2 | 4600–6900 | Parliament | Santillo et al. 2001 | |||
| Kuwait | 17 | 129 | 83 | 86 | Gevao et al. 2006 | ||
| Singapore | 31 | 2200 | 1000 | 68–13000 | Tan et al. 2007 | ||
| China | 39 | 5672 | 988 | 105–140000 | e-waste area | Wang et al. 2010 | |
| China | 27 | 6298 | 4039 | 498–40500 | Urban area | Wang et al. 2010 | |
| Australia | 10 | 730 | 23–13000 | Sjodin et al. 2008 | |||
| Global | 20 | 18000 | <LOD-198000 | Aircraft cabins | Christiansson et al. 2008 |
LOD = Limit of detection