Ethnic categories fail to capture the distinct experience of British Muslims.

Evidence

Given evidence of a specific ‘Muslim penalty’ across different sectors, and the diversity of the Muslim population, using existing census group ethnicity categories cannot capture the experience of Muslims in the public and private sectors. This should be part of wider efforts of public services and employers to improve their data collection, including response rates, on ethnic monitoring. Historically, Pakistani and Bangladeshi ethnic group categories were used as proxies for Muslim; these groups currently account for just over half (55%) of British Muslims. — A. Hussain, N. Meer, Framing Muslim Integration, 59

Categorization

• DEFINE: Explains why ‘Muslim’ functions as a distinct analytical category that cannot be reduced to ethnic group proxies like Pakistani/Bangladeshi — relevant to the definitional debate over whether Islamophobia is a form of racism.
• XREF: Connects to the Runnymede 2017 racialization turn and the move to treat Muslims as a racialized group, comparable to the census proxy problem across other identity categories. — connects to: British ‘ethnic minority’ communities are internally diverse and not segregated ghettos; Existing census ethnicity categories fail to capture Muslim experience as a distinct category. — A. Hussain, N. Meer, Framing Muslim Integration, 118; Census ethnicity categories poorly capture British Muslim experience as proxies — Runnymede Trust (ed. Farah Elahi & Omar Khan), Islamophobia: Still a Challenge for Us…, 112 (+5 more)

Related

• Ethnic data categories cannot capture the Muslim penalty in British institutions (similarity 0.96)
• Census ethnicity categories poorly capture British Muslim experience as proxies (similarity 0.96)
• Existing census ethnicity categories fail to capture Muslim experience as a distinct category. (similarity 0.96)
• Religious and ethnic disadvantages in Britain must be separated analytically to explain Muslim outcomes. (similarity 0.89)
• Lack of religious census categories hid Muslims within ethnic and birth-country data (similarity 0.88)
• British ‘ethnic minority’ communities are internally diverse and not segregated ghettos (similarity 0.87)
• Muslim organizations won religion’s inclusion in the UK census. (similarity 0.85)
• British racial categories for Muslims changed labels while retaining racist content. (similarity 0.84)
• Scholars moved from ethnic to religious penalties to explain Muslim disadvantage (similarity 0.82)
• The ethnic makeup of Muslims varies widely by region in England. (similarity 0.81)
• British Muslims were ethnicized before being recognized as a faith group (similarity 0.80)
• Muslim people in the UK face heightened risk of poorer health outcomes. (similarity 0.79)
• Aggregate housing statistics mask sharp variation among different Muslim groups. (similarity 0.79)
• The Runnymede report reframed anti-Muslim prejudice as faith-based rather than ethnic. (similarity 0.79)
• Suspicion of Britain’s Muslims predates modern biological racism (similarity 0.79)

Broader Connections

• Existing census ethnicity categories fail to capture Muslim experience as a distinct category. #corroborates (0.96) — A. Hussain, N. Meer, Framing Muslim Integration, 118
• Census ethnicity categories poorly capture British Muslim experience as proxies #corroborates (0.90) — Runnymede Trust (ed. Farah Elahi & Omar Khan), Islamophobia, 112
• Ethnic data categories cannot capture the Muslim penalty in British institutions #expands (0.88) — Runnymede Trust (ed. Farah Elahi & Omar Khan), Islamophobia, 54
• Lack of religious census categories hid Muslims within ethnic and birth-country data #expands (0.88) — Runnymede Trust (ed. Farah Elahi & Omar Khan), Islamophobia, 186
• Religious and ethnic disadvantages in Britain must be separated analytically to explain Muslim outcomes. #expands (0.80) — A. Hussain, N. Meer, Framing Muslim Integration, 271