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Inequality, Diversity, and Spa4al Polariza4on Trends Toronto & Chicago, 1970 – 2010 David Hulchanski Neighbourhood Change Research Partnership University of Toronto Joint research with Janet L Smith, University of Illinois at Chicago Venice InternaJonal University, 9 December 2015

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Page 1: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Inequality,  Diversity,  and    Spa4al  Polariza4on  Trends  Toronto  &  Chicago,  1970  –  2010  

David  Hulchanski  Neighbourhood  Change  Research  Partnership    

University  of  Toronto    

Joint  research  with  Janet  L  Smith,  University  of  Illinois  at  Chicago    

 

Venice  InternaJonal  University,    9  December    2015  

Page 2: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

The  research  

IniJated  in  2005  with  focus  on  Toronto  

In  2012  extended  to  other  metro  areas  

Funded  by  the  Social  Sciences  &  HumaniJes  Research  Council  of  Canada  

Page 2 of 38

Page 3: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Divided  Ci4es  in  a  Globalized,  Financialized,  Neoliberal  Age  

A  new  socio-­‐spaJal  order  with  stronger  more  rigid  divisions,  and  greater  inequality.          

–  Peter  Marcuse  &  Ronald  van  Kempen,  2000.  

3

Page 3 of 38

Page 4: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

hXp://3ciJes.neighbourhoodchange.ca  

The  2010  report  has  a  web  version  with  many  related  resources  

2010  REPORT  

Page 4 of 38

Page 5: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

NATIONAL  CONTEXT    

FOR  URBAN  INEQUALITY  &  SPATIAL  POLARIZATION  

Page 5 of 38

Page 6: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 6 of 38 Contact: [email protected]

Page 7: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 7 of 38 Contact: [email protected]

Page 8: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 8 of 38 Contact: [email protected]

Page 9: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 9 of 38 Contact: [email protected]

Page 10: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Why  does  Income  Inequality  MaXer?  

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 10 of 38 Contact: [email protected]

Page 11: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Socio-­‐spaJal  Trends,  2010  compared  to  1970  

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 11 of 38 Contact: [email protected]

Page 12: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

4.5

5.0

5.5

6.0

1970/71 1980/81 1990/91 2000/01 2010/11

Tota

l Pop

ulat

ion

(mill

ions

) Total Population of Chicago and Toronto's

City and Suburbs, 1970-2010

Chicago's Suburbs

City of Chicago

City of Toronto

Toronto's Suburbs Note: City of Chicago plus the suburbs equals the Chicago Metropolitan Statistical Area (MSA). City of Toronto plus the suburbs equals the Toronto Census Metropolitan Area (CMA).

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 12 of 38 Contact: [email protected]

Page 13: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Neighbourhood Income Change: City of Chicago, 2010 vs. 1970

Data Sources:

United States Census 1970

American Community Survey 2008-2012

June 2014

Interstate Highways (2010)

Not Available

L a k e M i c h i g a n

www.NeighbourhoodChange.ca

Neighbourhood Change Research Partnership

Natalie P. Voorhees Center for

Neighbourhood & Community Improvement,

University of Illinois at Chicago

Rapid Transit (2010)

Change in census tract average individual income compared to the Chicago MSA average, 2010 versus 1970

Decrease 20% to 114%

(417 CTs; 53% of the City)

Increase or Decrease

is Less than 20%

(210 CTs; 26% of the City)

Increase 20% to 254%

(167 CTs; 21% of the City)

0 2 41

Kilometres

C o o k C o u n t y

C h i c a g o

Dwight D. Eisenhower Exwy

Adlai E. Stevenson Exwy

Eden

s Exw

yChicago Skwy

Inter

state

57

Calum

et E

xwy

John F. Kennedy Exwy

John

F. K

enne

dy E

xwy

O'Hare Airport

Norwood ParkWest Ridge

Belmont Cragin

Austin

Gage Park

Chicago Lawn

Ashburn Auburn Gresham

BeverlyMount Greenwood Roseland

West Pullman

South Deering

South Shore

Chatham

Uptown

Lincoln SquareAlbany Park

Lake ViewNorthCenter

IrvingPark

Lincoln ParkLogan Square

Avondale

Hermosa

Humboldt Park West Town Near North Side

Garfield Park Near West Side Loop

North Lawndale

South Lawndale

Lower West Side

Near South Side

Brighton Park

MicKinley ParkBridgeport

Douglas

O'Hare

Dunning

North Park

Portage Park

Englewood

New City

ArcherHeights

Kenwood

Hyde Park

Woodlawn

South Chicago

Rogers Park

Individual income for persons 15 and over,

from all sources, before-tax.

Change is in terms of percentage points.

The 2010 average individual income of the

census tract is divided by the metropolitan area

average for that year and the same is done for

1970. The difference (2010 minus 1970) is

multiplied by 100 to produce the percentage

point change for each census tract.

Census tract boundaries are held constant to

Census 2010 (794 CTs).

Area enlarged at left

L a k e M i c h i g a n

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 13 of 38 Contact: [email protected]

Page 14: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 14 of 38 Contact: [email protected]

Page 15: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Data Sources:

Statistics Canada, Census Profile Series 1971

Canada Revenue Agency, Taxfiler data, 2010

June 2014

Neighbourhood Income Change: City of Toronto, 2010 vs. 1970

www.NeighbourhoodChange.ca

Neighbourhood Change Research Partnership

Individual income for persons 15 and over,

from all sources, before-tax.

Change is in terms of percentage points.

The 2010 average individual income of the

census tract is divided by the metropolitan area

average for that year and the same is done for

1970. The difference (2010 minus 1970) is

multiplied by 100 to produce the percentage

point change for each census tract.

Census tract boundaries are held constant to

Census 2001 (515 CTs).

Sheppard East subway

Scarborough RT

Yonge-University-Spadina

subway

Highways

Bloor-Danforth subway

Former City of Toronto (1996)

Scarborough

North York

Etobicoke

York

East York

Hwy 401

Gardiner Expwy

Steeles Ave

Hw

y 4

04

Hw

y 4

00

Hw

y 4

27

Bloor St

Danforth Ave

Sheppard Ave

DV

P

Queen St

Finch Ave

T o r o n t o

Change in census tract average individual income compared to the Toronto CMA average, 2010 versus 1970

Increase of 20% or More

(131 CTs; 25% of the City)

Increase or Decrease is Less than 20%

(177 CTs; 34% of the City)

Decrease of 20% or More

(207 CTs; 40% of the City)

Yo

ng

e S

t

Not Available

0 2.5 51.25

Kilometres

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 15 of 38 Contact: [email protected]

Page 16: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

12

3

Top of 3D map:Income IncreasesBlue = City #1;White = City #2

Bottom of 3D map:Income DecreasesWhite = City #2;Brown = City #3

July 2014

Data Sources: Statistics Canada, Census Profile Series 1971, Canada Revenue Agency, Taxfiler data, 2010

ScarboroughEtobicoke

Scarborough

North York

North York

East York

North York

www.NeighbourhoodChange.caNeighbourhood Change Research Partnership

Neighbourhood Income Change: City of Toronto, 2010 vs. 1970

City #1: Increase of 20% or More (131 Census Tracts, 25% of the City)City #2: Increase or Decrease is Less than 20% (177 Census Tracts, 34% of the City)City #3: Decrease of 20% or More (207 Census Tracts, 40% of the City)

Change in census tract average individual income compared to the Toronto CMA average, 2010 versus 1970

Individual income for persons 15 and over, from all sources, before-tax.

Census tract boundaries are held constant to Census 2001 (515 CTs).

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 16 of 38 Contact: [email protected]

Page 17: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 17 of 38 Contact: [email protected]

Page 18: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

21%

26%

53%

25%

34%

40%

0%

10%

20%

30%

40%

50%

60%

City #1 City #2 City #3

Income Increased 20% or More Income Change Less than 20% Income Decreased 20% or More

Perc

enta

ge o

f Cen

sus T

ract

s Neighbourhood Income Change

City of Chicago and City of Toronto, 2010 versus 1970

CHIC

AGO

TORO

NTO

CHIC

AGO

TORO

NTO

CHIC

AGO

TORO

NTO

Income Definition: Census Tract average individual income from all sources, before-tax for persons 15 and over. Income is measured relative to the metropolitan area average each year. Chicago CT boundaries are constant 2010 while Toronto's are constant 2001.

Data Sources: United States Census 1970, American Community Survey 2008-2012, Canada Census 1971, Canada Revenue Agency Taxfiler data 2010.

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 18 of 38 Contact: [email protected]

Page 19: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Socio-­‐spaJal  Income  Change,  1970  to  2010  

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 19 of 38 Contact: [email protected]

Page 20: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

June 2014

Interstate Highways (2010)

Not Available

L a k e M i c h i g a n

www.NeighbourhoodChange.caNeighbourhood Change Research Partnership

LakeMichigan

Data provided by Natalie P. Voorhees Centerfor Neighbourhood & Community Improvement,University of Illinois at Chicago.

Rapid Transit (2010)

0 2 41

Kilometres

C o o k C o u n t y

C h i c a g o

0 1 20.5

Kilometres

Dwight D. Eisenhower Exwy

Adlai E. Stevenson Exwy

Eden

s Exw

yChicago Skwy

Inter

state

57

Calum

et E

xwy

John F. Kennedy Exwy

John

F. K

enne

dy E

xwy

O'Hare Airport

Norwood ParkWest Ridge

Belmont Cragin

Austin

Gage Park

Chicago Lawn

Ashburn Auburn Gresham

BeverlyMount Greenwood Roseland

West Pullman

South Deering

South Shore

Chatham

Uptown

Lincoln SquareAlbany Park

Lake ViewNorthCenter

IrvingPark

Lincoln ParkLogan Square

Avondale

Hermosa

Humboldt Park West Town Near North Side

Garfield Park Near West Side Loop

North Lawndale

South Lawndale

Lower West Side

Near South Side

Brighton Park

MicKinley ParkBridgeport

Douglas

Austin Name of Neighbourhood Community

O'Hare

Dunning

North Park

Portage Park

Englewood

New City

ArcherHeights

Kenwood

Hyde Park

Woodlawn

South Chicago

Rogers Park

Average Individual Income, City of Chicago, 1970

Source: United States Census 1970.

Note:(1) Census tract boundaries shown are for 1970.

(2) Average income is from all sources, before-tax. Average was calculated by dividing aggregate income by total population 15 and over. Since persons with zero income cannot be excludedfrom the total population 15 and over, a few CT's have extremely low average incomes.

1970

Census Tract Average Individual Income compared to the

Chicago MSA Average of $5,366

Very Low - 4% to 60%(146 CTs, 17% of the City)

Low - 60% to 80%(270 CTs, 32% of the City)

Middle Income - 80% to 120%(390 CTs, 46% of the City)

High - 120% to 140%(22 CTs, 3% of the City)

Very High - 140% to 362%(30 CTs, 4% of the City)

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 20 of 38 Contact: [email protected]

Page 21: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

June 2014

Interstate Highways (2010)

Not Available

L a k e M i c h i g a n

www.NeighbourhoodChange.caNeighbourhood Change Research Partnership

LakeMichigan

Data provided by Natalie P. Voorhees Centerfor Neighbourhood & Community Improvement,University of Illinois at Chicago.

Rapid Transit (2010)

0 2 41

Kilometres

C o o k C o u n t y

C h i c a g o

0 1 20.5

Kilometres

Dwight D. Eisenhower Exwy

Adlai E. Stevenson Exwy

Eden

s Exw

yChicago Skwy

Inter

state

57

Calum

et E

xwy

John F. Kennedy Exwy

John

F. K

enne

dy E

xwy

O'Hare Airport

Norwood ParkWest Ridge

Belmont Cragin

Austin

Gage Park

Chicago Lawn

Ashburn Auburn Gresham

BeverlyMount Greenwood Roseland

West Pullman

South Deering

South Shore

Chatham

Uptown

Lincoln SquareAlbany Park

Lake ViewNorthCenter

IrvingPark

Lincoln ParkLogan Square

Avondale

Hermosa

Humboldt Park West Town Near North Side

Garfield Park Near West Side Loop

North Lawndale

South Lawndale

Lower West Side

Near South Side

Brighton Park

MicKinley ParkBridgeport

Douglas

Austin Name of Neighbourhood Community

O'Hare

Dunning

North Park

Portage Park

Englewood

New City

ArcherHeights

Kenwood

Hyde Park

Woodlawn

South Chicago

Rogers Park

Average Individual Income, City of Chicago, 2010

Source: American Community Survey, 2010.

Note:(1) Census tract boundaries shown are for 2010.

(2) Average income is from all sources, before-tax. Average was calculated by dividing aggregate income by total population 15 and over. Since persons with zero income cannot be excludedfrom the total population 15 and over, a few CT's have extremely low average incomes.

2010

Census Tract Average Individual Income compared to the Chicago MSA Average of $38,895

Very Low - 1% to 60%(365 CTs, 46% of the City)

Low - 60% to 80%(153 CTs, 19% of the City)

Middle Income - 80% to 120%(128 CTs, 16% of the City)

High - 120% to 140%(30 CTs, 4% of the City)

Very High - 140% to 348%(115 CTs, 15% of the City)

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 21 of 38 Contact: [email protected]

Page 22: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 22 of 38 Contact: [email protected]

Page 23: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Average Individual Income, Metro Toronto, 1970

Source: (1) Statistics Canada, Census Profile Series, 1971(2) Statistics Canada, CensusRoad Network, 2011

www.NeighbourhoodChange.ca

Notes: (1)Census tract and municipal boundaries are for 1971.

Not Available

November 2012

Scarborough

North York

Etobicoke

York

East York1970

(2) Average Individual Income is for persons 15 and over and includes income from all sources, before-tax.

Highways (2011)

Census Tract Average Individual Income compared to

the Toronto Census Metropolitan Area Average of $5,756

Very Low - 52% to 60%(7 CTs, 2% of the City)

Low - 60% to 80%(83 CTs, 24% of the City)

Middle Income - 80% to 120%(197 CTs, 58% of the City)

High - 120% to 140%(23 CTs, 7% of the City)

Very High - 140% to 396%(30 CTs, 9% of the City)

Municipalities (1971)

3 0 31.5

Kilometers

City of Toronto Priority Neighbourhoods (2005)

Bloor-Danforth subway (2011)

Sheppard East subway (2011)

Scarborough RT (2011)Yonge-University-Spadina subway (2011)

Hwy 401

Hwy 401

Gardiner Expwy

Steeles Ave

Hwy 4

04

Yong

e St

Hwy 4

00

Hwy 4

27

Bloor StDanforth Ave

Sheppard Ave

DVP

Queen St

Finch Ave

Toronto

Metro Toronto in 1971 was a regional municipality which included Scarborough, North York, Etobicoke, York, East York and City of Toronto. This is not to be confusedwith the Toronto Census Metropolitan Area (CMA) which is the larger region that also includes municipalities in the "905 region" adjacent to Metro Toronto.

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 23 of 38 Contact: [email protected]

Page 24: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Average Individual Income, City of Toronto, 2010

Source: (1) Statistics Canada, Census boundary files, 2006(2) Statistics Canada, CensusRoad Network, 2011 (3) Canada Revenue Agency, Taxfiler Data, 2010

www.NeighbourhoodChange.ca

Notes: (1)Census tractboundaries are for 2006.

Not Available

November 2012

Scarborough

North York

Etobicoke

York

East York2010

(2) Average Individual Income is for persons 15 and over and includes income from all sources,before-tax. Income for 2010based on all taxfilers for censustracts 2006 boundaries.

Highways (2011)

Census Tract Average Individual Income compared to

the Toronto Census Metropolitan Area Average of $44,271

Very Low - 34% to 60%(72 CTs, 14% of the City)

Low - 60% to 80%(188 CTs, 36% of the City)

Middle Income - 80% to 120%(151 CTs, 29% of the City)

High - 120% to 140%(31 CTs, 6% of the City)

Very High - 140% to 627%(85 CTs, 16% of the City)

T o r o n t o

Former City of Toronto (1996)

North York Former Municipality (1996)

3 0 31.5

Kilometers

City of Toronto Priority Neighbourhoods (2005)

Bloor-Danforth subway (2011)

Sheppard East subway (2011)

Scarborough RT (2011)Yonge-University-Spadina subway (2011)

Hwy 401

Hwy 401

Gardiner Expwy

Steeles Ave

Hwy 4

04

Yong

e St

Hwy 4

00

Hwy 4

27

Bloor StDanforth Ave

Sheppard Ave

DVP

Queen St

Finch Ave

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 24 of 38 Contact: [email protected]

Page 25: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

484 23%

588 28%

754 33%

1,143 48%

1,304 52%

1,373 55%

1,337 51%

1,313 63%

1,277 60%

1,163 51%

870 36%

798 32%

703 28%

737 28%

287 14%

268 13%

353 16%

377 16%

392 16%

419 17%

540 21%

0

500

1,000

1,500

2,000

2,500

3,000

1970 1980 1990 1995 2000 2005 2010

Tota

l Pop

ulat

ion

(tho

usan

ds)

Neighbourhood Income & Population, City of Toronto, 1970-2010

High Income (More than 20% Above) Middle Income (Within 20%) Low Income (More than 20% Below)

Income Definition Notes: Individual income is for persons 15 and over, from all sources, before-tax. Census tract boundaries correspond to those that existed in each census year. Income for 2010 is based on all taxfilers for 2006 CT boundaries.

Census Tract Average Income compared to the CMA Average

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 25 of 38 Contact: [email protected]

Page 26: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

14

9

2

1

2

46

45

48

33

17

36

41

30

27

24

19

25

26

28

31

29

32

50

56

58

16

18

17

33

45

6

4

7

7

7

4

3

2

2

3

16

14

11

9

9

15

9

6

3

3

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

2010

2000

1990

1980

1970

Toronto

2010

2000

1990

1980

1970

Chicago

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%)

Data Sources: United States Census 1970-2000, American Community Survey 2010, Canada Census 1971-2001, Canada Revenue Agency Taxfiler data 2010.

Income Definition: Census Tract average individual income from all sources, before-tax for persons 15 and over. Income is measured relative to the metropolitan area average each year using CT boundaries as they existed each census year.

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 26 of 38 Contact: [email protected]

Page 27: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

0%

10%

20%

30%

40%

50%

60%

70%

1970 1980 1990 2000 2010

Perc

enta

ge o

f Tot

al C

ensu

s Tra

cts

Share of Middle Income Census Tracts City of Chicago and City of Toronto, 1970-2010

Toronto

Chicago

Note: Based on census tract average individual income for persons 15 and over, from all sources, before-tax. Census tract boundaries correspond to those that existed in each census year.

Data Sources: United States Census 1970-2000, American Community Survey 2010, Canada Census 1971-2001, Canada Revenue Agency Taxfiler data 2010.

Middle income defined as census tract average individual income within 20% (above or below) the metropolitan area average.

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 27 of 38 Contact: [email protected]

Page 28: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Toronto’s    Segregated  Ethno-­‐Cultural  PopulaJon,  2006  

28 28

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 28 of 38 Contact: [email protected]

Page 29: Inequality, Diversity, and Spa4al Polariza4on Trends · MaXer? Neighbourhood Change Research Partnership, University of Toronto Venice International University, 9 December 2015 Page

Summary  Socio-­‐spaJal  Change,  1970–2010  

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

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Summary:    Increasingly  Divided  Ci4es  Growing  Socio-­‐spaJal  Divides  

Trends  in  the  Chicago  and  Toronto  are  the  same:  greater  income  inequality  and  greater  geographic  polarizaJon  since  1970.  

1.  Similar  trends:    Chicago’s  income  divides  were  greater  and  occurred  earlier  than  Toronto’s;  starJng  in  the  1990’s  Toronto  began  to  approach  Chicago’s  levels  of  socio-­‐spaJal  divides.  Both  have  very  high  levels  of,  and  conJnuing  increases  in,  inequality  and  polarizaJon.  

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Summary:    Increasingly  Divided  Ci4es  Growing  Socio-­‐spaJal  Divides  

2.  Greater  neighbourhood  segrega4on  by  income:    The  trajectories  of  the  social  spaJal-­‐divides  in  the  two  metropolitan  areas  have  some  disJnct  paXerns  but  are  heading  in  the  same  direcJon:    •  more  very  high  and  very  low  income  neighbourhoods  (due  to  growing  income  inequality),    

•  fewer  middle  income  neighbourhoods  (due  to  growing  income  polarizaJon).      

SegregaJon  is  the  result:  greater  spaJal  concentraJons  of  different  social  groups.    

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Summary:    Increasingly  Divided  Ci4es  Growing  Socio-­‐spaJal  Divides  

3. More  unequal  life  chances:  The  locaJon  where  one  lives  and  grows  up  becomes  an  increasingly  important  factor  in  opportuniJes  and  life  chances,  which  in  turn  exacerbates  the  growing  social  spaJal  divide  if  nothing  is  being  down  about  it.    

4.  Importance  of  public  policies:  Public  policies  have  contributed  to  and  are  necessary  for  the  amelioraJon  of  socio-­‐spaJal  polarizaJon.  

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Why  worry  about  more    rigid  socio-­‐spa4al  divisions    and  greater  inequality?  

“Inequality  promotes  strategies  that  are  more  self-­‐interested,  less  affiliaJve,  oien  highly  anJsocial,  more  stressful,  and  likely  to  give  rise  to  higher  levels  of  violence,  poorer  community  relaJons,  and  worse  health.” –  Richard  Wilkinson,  The  Impact  of  Inequality,  2005:22  

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What  is  the  cause?  What  can  be  done?    

Policy  op4ons  Economic    INEQUALITY  

Socio-­‐spa4al    POLARIZATION  /  EXCLUSION  

Spa4al    SEGREGATION  &  DISADVANTAGE  

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Cause?  SoluJon?      

Federal  &  Provincial  Policies  in  4  areas  

 

ESSENTIAL    Government  Policy  AcJons  

Income  Support  Strategy  

EffecJve  AnJ-­‐DiscriminaJon  

Strategy  Affordable  

Housing  Strategy  

Labour  Market  Strategy  

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For fu r ther in fo rmat ion

www.NeighbourhoodChange.ca

Larry Bourne, David Ley, Richard Maaranen, Robert Murdie, Damaris Rose, Alan Walks

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

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For f u r t he r i n f o rma t i on

www.NeighbourhoodChange.ca

Research methods and analytic framework developed by

Larry Bourne

Jill Grant

David Hulchanski

David Ley

Richard Maaranen

Robert Murdie

Damaris Rose

Janet Smith

Ivan Townshend

Alan Walks

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

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Funded by peer reviewed grants

Partnership Grant, 2012-2019

Public Outreach Grant, 2010-11

Community University Research Alliance, 2005-2010

Neighbourhood Change Research Partnership, University of Toronto www.NeighbourhoodChange.ca

Venice International University, 9 December 2015 Page 38 of 38 Contact: [email protected]