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Population, language, ethnicity and socio economic aspects of - - PowerPoint PPT Presentation

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Population, language, ethnicity and socio economic aspects of education f d Michelle vonAhn, Ruth Lupton and Dick Wiggins Aims of the fellowship Analyse and map distribution of language across London London What issues does this

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Population, language, ethnicity and f d

socio‐economic aspects of education

Michelle vonAhn, Ruth Lupton and Dick Wiggins

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Aims of the fellowship

Analyse and map distribution of language across

London London

What issues does this raise?

Conduct some preliminary analysis between

language and attainment g g

Analyse the relationship between language,

ethnicity and socio‐economic indicators P id id d i i h

Provide guidance and training on the ways

language data may be used with other data to answer social and educational research questions

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A big issue in London g

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Updating Multilingual Capital p g g p

Published in 2000 Published in 2000, using pupil data from 1999 to identify and 1999 to identify and map languages in London

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Pupil data p

1999 2008 Pupils >850 000 attending >1 100 000 resident in Pupils >850,000, attending state schools in London >1,100,000, resident in London, attending a state school Languages >350, including dialects and variants 322 categories collected, 239 without variants Geography Boroughs mainly, some postcodes Boroughs and MSOAs Missing data Bromley and Havering Variable data collection Missing data Bromley and Havering did not collect data – synthetic data used Variable data collection between schools and local authorities

But data collection variability makes comparison difficult…

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Language data ambiguity

Categories include: % of London total Missing data 0.6% Not obtained 0.4% Classification pending 0.3% Refused 0.1% Other language 0.4% Other than English 4.5% Believed to be other than English 1.3% Believed to be English 0.8% Total ambiguous 8.4% g

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Ambiguous language

B h T t l il % bi Borough Total pupils % ambiguous Westminster 16,086 27.9% Brent 43,120 21.1% Waltham Forest 38,500 15.6% Haringey 35,056 14.5% Hounslow 35,203 14.0% Newham 50,402 12.4% … Havering 33,526 2.5% Ealing 46,511 2.3% g ,

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Data inconsistency

S l h i t hi h t i t tl d ithi Some languages have variants, which are not consistently used within a local authority or across London, e.g.

Bengali Panjabi Arabic Chinese Bengali Panjabi Arabic Chinese Bengali (Any other) Panjabi (Any other) Arabic (Any other) Chinese (Any other) Bengali (Sylheti) Panjabi (Gurmukhi) Arabic (Algeria) Chinese (Cantonese) Bengali (Chittagong/Noakhali) Panjabi (Mirpuri) Arabic (Iraq) Chinese (Hokkien/Fujianese) Panjabi (Pothwari) Arabic (Morocco) Chinese (Hakka) Arabic (Sudan) Chinese (Mandarin/Putonghua) Arabic (Yemen)

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Language classification

Asian (South) Asian (East) Asian (W/C) Turkish African (North) Africa (West) Africa (E/C/S) European Union European Other

International/ Transnational

Other Bengali Chinese Somali Yoruba Lingala Greek Albanian/ h Arabic Caribbean l Unspeci‐ fied Turkish Bengali Urdu Chinese Viet‐ namese Persian/ Farsi Somali Tigrinya Yoruba Akan/ Twi‐Fante Lingala Swahili/ Kiswahili Greek Italian Dutch/ Shqip Russian

Serbian/

Arabic French Portu‐ Creoles

Oceania/ S/C America

Panjabi Gujarati Japanese Korean Kurdish Pashto/ Pakhto Amharic Other Igbo Other Luganda Shona Dutch/ Flemish German

Crotian/ Bosnian

Other Portu guese Spanish Tamil Hindi Tagalog/ Filipino Other Other Other Polish Lithuanian >5000 Malayalam Nepali Other pupils Other

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Geography

  • Comparative counts not possible with boroughs due to

differences in size differences in size

  • Wards and postcodes also differ in population size
  • Percentage comparisons are problematic due to data

capture variability

  • New statistical geographies ‐ Super Output Areas

LSOA SOA LSOA MSOA 4765 in London 983 in London Ab 1500 l Ab 7500 l About 1500 people About 7500 people

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LSOA map

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MSOA map

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English and Believed to be English

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English and Believed to be English

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Patterns of clustering Patterns of clustering and dispersal and dispersal

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South Asian languages

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Bengali

London = 46,681

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Urdu

London = 29,354

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Panjabi

London = 20,998 London = 20,998

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Gujarati

London = 19,572

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Tamil

London = 16,386

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Persian/Farsi

London = 6,959

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Chinese

London = 5,905

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Migration patterns over time g p

Annual data could show change (if data is collected in a

robust way) robust way)

Established or magnet communities

i l

Recent arrivals

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Turkish

London = 16,778

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Greek

London = 3,336

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Polish

London = 11,035

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Lithuanian

London = 2,974

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Somali

London = 27,126

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Somali numbers have increased but have increased, but their distribution has also become more dispersed

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Language is not always enough

F

h k S i h k

French speakers

17% White 57% Black

Spanish speakers

35% White

4% Bl k

57% Black 26% Other 4% Black 61% Other

Arabic speakers

57% Other

Portuguese speakers

4% Whi

57% Other 15% Black 10% Mixed 54% White 19% Black 27% Other

10% Mixed

9% White 8% Asian 27% Other

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French by ethnic group

London = 13,020

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French has an east‐ west distribution by y ethnic group

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Spanish by ethnic group

London = 8,647

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White Spanish speakers are more likely to be from are more likely to be from Europe, while Other Spanish are probably from p p y Central and Latin America

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Language, ethnicity and attainment g g , y

How are ethnicity and language related? Can we create How are ethnicity and language related? Can we create

useful ethnicity/language categories?

How is language related to attainment? Does ethnicity/

l t ll th th i it it ? language tell us more than ethnicity on its own?

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Average points at Key Stage 2 by Ethnic Group (London 2008)

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Linguistic Breakdown for Selected Lower Attaining Groups

L N % f t t l

Bangladeshi

L N % f l

Black ‘other’

Language N % of total

Bengali 3725 92% Other than English 205 5%

Language N % of total

English/Believed to be English 1097 66% F h 86 5% Ot e t a g s 05 5% Believed to be English 69 2% Others ( 10 or less each) 47 1% French 86 5% Other than English 68 4% Portuguese 61 4% each) 47 1% Yoruba 57 3% Somali 49 3% Arabic 37 2% Akan 30 2% Swahili variants 18 1% Creoles and Pidgins 14 1% g Lingala 14 1% Unknown 12 1% Others (10 or less each) 118 7% Others (10 or less each) 118 7%

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Linguistic Breakdown for Selected Lower Attaining Groups

Language N % of total

Black African

Language N % of total

White ‘other’

Language N % of total English/ Believed to be English 2481 25% Somali 2079 21% Language N % of total English/ Believed to be English 1887 26% Turkish 1184 16% Somali 2079 21% Yoruba 1245 13% Akan 682 7% Turkish 1184 16% Polish 757 11% Albanian/Shqip 559 8% French 502 5% Lingala 259 3% Igbo 220 2% Portuguese 505 7% Greek 263 4% Spanish 199 3% Igbo 220 2% Arabic 181 2% Swahili variants 183 2% Spanish 199 3% Lithuanian 237 3% French 116 2% Luganda 112 1% Portuguese 131 1% Italian 151 2% Arabic 119 2% Serbian/Croatian/Bosnian 100 1% Serbian/Croatian/Bosnian 100 1% Russian 107 1%

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Di it i th ‘Bl k Af i ’ Diversity in the ‘Black African’ group

Higher attaining Lower attaining

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Yoruba

London = 13,961

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Igbo

London = 2,837

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Akan/Twi/Fante

London = 8,117

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Somali

London = 27,126

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Di it i th ‘ hit th ’ Diversity in the ‘white other’ group

Higher attaining Lower attaining

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Next stages

How are ethnicity/language categories related to socio‐

economic status? economic status?

Explore FSM, IDACI, using London ASC Matching to local authority data (e g housing benefits Matching to local authority data (e.g. housing benefits,

Council tax band) for wider indicators, for a case study Borough (Newham) Borough (Newham)

How are ethnicity/language/attainment relationships How are ethnicity/language/attainment relationships

affected by interacting them with SES data?

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Data matching

Attainment and Council Tax and language data GP register GP register

  • f patients
  • f patients

Housing benefit LLPG addresses benefit addresses Electoral Register PLASC (FSM) ( )

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Michelle vonAhn

E il i h ll h @ h k

Email: michelle.von.ahn@newham.gov.uk Tel: 020 3373 1659

Ruth Lupton

Email: r.lupton@lse.ac.uk Tel: 0207 849 4910