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Neighbourhood Socio-Economic Polarization & Segregation in Toronto Trends and Processes since 1970 J. David Hulchanski and Richard Maaranen Neighbourhood Change Research Partnership, University of Toronto TU Delft, September 2018 J David


  1. Neighbourhood Socio-Economic Polarization & Segregation in Toronto Trends and Processes since 1970 J. David Hulchanski and Richard Maaranen Neighbourhood Change Research Partnership, University of Toronto TU Delft, September 2018 J David Hulchanski, University of Toronto Page 1 of 66 TU Delft, September 2018

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  3. Spatial Polarization and Segregation 1990’s ‘Divided Cities’ literature A new socio-spatial order with stronger (more rigid) divisions, and greater inequality Peter Marcuse & Ronald van Kempen, 2000 J David Hulchanski, University of Toronto Page 3 of 66 TU Delft, September 2018

  4. Toronto: Summary 1. Income inequality, income polarization, and SES/ethno-cultural segregation is increasing 2. Increased dramatically since the late-1980s, especially during the 1990s, at a slower pace since 3. There is no sign of a reversal 4. We have the strongest possible evidence; evidence that is being ignored by government 5. Cause: public policy; labour market and housing market dynamics; discrimination 4 J David Hulchanski, University of Toronto Page 4 of 66 TU Delft, September 2018

  5. Specific Processes: Cause and Solution Government / Governance Housing Labour Market Market Activities / Income Outcomes in Support Discrimination (Tax, Transfers) 4 Key Policy Areas 55 J David Hulchanski, University of Toronto Page 5 of 66 TU Delft, September 2018

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  7. Why does Income Inequality Matter? J David Hulchanski, University of Toronto Page 7 of 66 TU Delft, September 2018

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  10. 1. Toronto Census Metropolitan Area, Spatial Trends, 1991 – 2016 INEQUALITY +56% POLARIZATION +47% SEGREGATION +14% J David Hulchanski, University of Toronto Page 10 of 66 TU Delft, September 2018

  11. 19% High Income 42% Middle Income 38% Low Income J David Hulchanski, University of Toronto Page 11 of 66 TU Delft, September 2018

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  13. Spatial Income Inequality Trend Toronto CMA 1990 to 2015 Spatial (census tract) income inequality (Gini) +56% (from 0.145 in 1990 to 0.226 in 2015) Census tracts are increasingly becoming dissimilar in average incomes with the group of more numerous higher income census tracts taking a larger share of Toronto's total income relative to their population size. 13 J David Hulchanski, University of Toronto Page 13 of 66 TU Delft, September 2018

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  15. Spatial Income Polarization Trend Toronto CMA 1990 to 2015 Spatial (census tract) income polarization (COP) +47% (from 0.200 in 1990 to 0.294 in 2015) Census tracts are dividing into two contrasting groups (polarizing), as the number of middle income census tracts become fewer For Coefficient of Polarization (COP) see: Walks, A. (2013). Income inequality and polarization in Canada's cities: An examination and new form of measurement . Research Paper 227, Cities Centre, University of Toronto. http://neighbourhoodchange.ca/documents/2015/02/income-inequality-and- 15 polarization-in-canadas-cities-an-examination-and-new-form-of-measurement.pdf J David Hulchanski, University of Toronto Page 15 of 66 TU Delft, September 2018

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  17. ‘Racial’ Segregation Toronto CMA 1991 to 2016 ‘Racial’ segregation (non-Whites / Whites, index of dissimilarity) +14% (from 0.395 in 1991 to 0.452 in 2016) The visible minority and White populations in the Toronto CMA are increasingly not living side-by-side within and between census tracts. Note: The Index of Dissimilarity considers number of visible minority vs White people within and between census tracts in relation to the distribution for the whole CMA. The Gini and COP only considers incomes between CTs (but not within CTs), comparing CT averages against each other in the CMA as a whole. 17 J David Hulchanski, University of Toronto Page 17 of 66 TU Delft, September 2018

  18. Black Segregation: Toronto / Chicago Index of dissimilarity • 0.512 Toronto CMA (2016) • 0.836 Chicago Metro (2000) See http://www.censusscope.org/us/rank_dissimilarity_white_black.html Chicago 63% higher than Toronto If Toronto was a U.S. city it would rank #222 Walks, R.A., & Bourne, L.S. (2006). Ghettos in Canada's cities? Racial segregation, ethnic enclaves and poverty concentration in Canadian urban areas. The Canadian Geographer/Le Géographe canadien , 50 (3), 273-297. 18 J David Hulchanski, University of Toronto Page 18 of 66 TU Delft, September 2018

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  20. 2. Demographic Segregation Trends City of Toronto, 1981, 2001,2016 THREE CHARACTERISTICS; THREE POINTS IN TIME VISIBLE MINORITY POPULATION IMMIGRANT POPULATION EDUCATIONAL LEVEL J David Hulchanski, University of Toronto Page 20 of 66 TU Delft, September 2018

  21. Population 1981 2,137,000 2001 2,482,000 2016 2,732,000 J David Hulchanski, University of Toronto Page 21 of 66 TU Delft, September 2018

  22. Population 1981 2,137,000 2001 2,482,000 2016 2,732,000 J David Hulchanski, University of Toronto Page 22 of 66 TU Delft, September 2018

  23. Population 1981 2,137,000 2001 2,482,000 2016 2,732,000 J David Hulchanski, University of Toronto Page 23 of 66 TU Delft, September 2018

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  36. 3. City of Toronto, 1970 - 2015 Neighbourhood Income Polarization Decline of Middle Income Neighbourhoods (census tracts) CENSUS TRACTS: SERIES OF MAPS HIGH INCOME FROM 16% → 23% MIDDLE INCOME FROM 58% → 29% LOW INCOME FROM 26% → 48% J David Hulchanski, University of Toronto Page 36 of 66 TU Delft, September 2018

  37. 58% Middle Income Census Tracts J David Hulchanski, University of Toronto Page 37 of 66 TU Delft, September 2018

  38. 56% Middle Income Census Tracts J David Hulchanski, University of Toronto Page 38 of 66 TU Delft, September 2018

  39. 50% Middle Income Census Tracts J David Hulchanski, University of Toronto Page 39 of 66 TU Delft, September 2018

  40. ………………………………………..…… ….. 32% Middle Income Census Tracts J David Hulchanski, University of Toronto Page 40 of 66 TU Delft, September 2018

  41. ………………………………………..…… ….. 29% Middle Income Census Tracts J David Hulchanski, University of Toronto Page 41 of 66 TU Delft, September 2018

  42. ………………………………………..…… ….. 29% Middle Income Census Tracts J David Hulchanski, University of Toronto Page 42 of 66 TU Delft, September 2018

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  44. City of Toronto J David Hulchanski, University of Toronto Page 44 of 66 TU Delft, September 2018

  45. Census Tract Income Distribution, 1970-2010 City of Chicago and City of Toronto Very Low (< 60%) Low (60% to 80%) Middle (80% to 120%) High (120% to 140%) Very High (> 140%) Chicago 1970 17 31 45 3 3 1980 33 28 33 2 3 1990 48 26 17 2 6 2000 45 25 18 3 9 2010 46 19 16 4 15 Toronto 1970 2 24 58 7 9 1980 1 27 56 7 9 1990 2 30 50 7 11 2000 9 41 32 4 14 2010 14 36 29 6 16 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Income Definition: Census Tract average individual income from all sources, Data Sources: United States Census 1970-2000, before-tax for persons 15 and over. Income is measured relative to the metropolitan American Community Survey 2010, Canada Census 1971-2001, area average each year using CT boundaries as they existed each census year. Canada Revenue Agency Taxfiler data 2010. J David Hulchanski, University of Toronto Page 45 of 66 TU Delft, September 2018

  46. 4. Processes Explaining the Trends? J David Hulchanski, University of Toronto Page 46 of 66 TU Delft, September 2018

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