MEASURING IMPACT ACROSS VIBRANT COMMUNITIES CANADA S CITIES REDUCING POVERTY NETWORK

Transcription

1 THE CANADIAN COUNCIL ON SOCIAL DEVELOPMENT COMMUNITY DATA PROGRAM MEASURING IMPACT ACROSS VIBRANT COMMUNITIES CANADA S CITIES REDUCING POVERTY NETWORK PRESENTATION AT TAMARACK S NATIONAL POVERTY SUMMIT MAY 7, 2015 MICHEL FROJMOVIC, LEAD, MICHEL@CCSD.CA MIKE DITOR, SR. ANALYST, MIKE@COMMUNIYDATA.CA

2 Part 1 CCSD s Community Data Program: Enabling Access to Data by the Community Sector 2

3 THE COMMUNITY DATA PROGRAM Established by CCSD in the mid-1990s Support community sector access to data Focus on small area geography Customized data gateway Analyse and report on socio-economic trends 3

4 DEFINITION OF TERMS Community data Small area data Customized data Custom geography 4

5 THE PROGRAM SUPPORTS ORGANIZATIONS WITH A MANDATE TO 1. Monitor and report on social trends & conditions 2. Acquire customised small area data 3. Reduce costs 4. Build in-house capacity 5. Improve access by local organizations and residents to community data 5

6 THE COMMUNITY DATA NETWORK Community Data Consortia: 27 Consortium Member Organisations: 250 Municipal governments & local boards Social Planning Councils Local United Way chapters Public health agencies Community health centres Economic development agencies Registered Individuals: 2,000+ 6

7 Wood Buffalo Red Deer Bow Valley Regina Sudbury Saint John Parry Sound-Nipissing Erie-St. Clair Kingston-FLA Wellington-Dufferin-Guelph Durham London Oxford COMMUNITY DATA CONSORTIA 7 Niagara

8 WHAT DO PROGRAM MEMBERS GET FOR THEIR MEMBERSHIP FEE? Data Direct access to web-based customized community data Capacity building Data analysis tools and training Networking National network with teleconferences and annual faceto-face events 8

9 THE COMMUNITY DATA CATALOGUE Small area data for all of Canada Over 20 public & private data providers Municipal and neighbourhood level data Statistics Canada custom orders Custom geographies Analysis, reporting, and visualization tools Portal to the Free Stuff communitydata.ca/catalogue 9

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11 LATEST ADDITIONS TO CCSD S COMMUNITYDATA.CA/CATALOGUE TGPs: Target Group Profiles All of Canada Smallest census geographies Customized community geographies Low income population: LICO-AT Low income population: LICO-BT Low income population: LIM-AT Low income population: MBM Population with difficulty in activities of daily living Aboriginal identity population Immigrants Female lone parents Population aged

12 CANADIAN POVERTY PROJECT (CPP) GOVERNMENT TRANSFER PAYMENTS $12,000 $10,000 Non-immigrants $8,000 $6,000 Low-income nonimmigrants Immigrants $4,000 $2,000 Low-income nonimmigrants $0 NL PEI NS NB QC ON MB SK AB BC 12

13 CPP LOW INCOME RATE (LIM-AT) BY IMMIGRANT STATUS 60% 40% 20% Non-immigrants Before to to % NL PEI NS NB QC ON MB SK AB BC 13

14 CPP LOW INCOME RATE (LIM-AT) BY ACTIVITY LIMITATION STATUS 30% 10% 8% 10% 12% 20% 8% 5% 6% 7% 6% 10% 4% No activity limitations With activity limitations 0% NL PEI NS NB QC ON MB SK AB BC 14

15 CPP LOW INCOME RATE (LIM-AT) BY KNOWLEDGE OF OFFICIAL LANGUAGES 80% 60% 60% 40% 21% 23% 28% 21% 20% Total population 20% 10% 14% 9% 14% No knowledge of French or English 0% NL PEI NS NB QC ON MB SK AB BC 15

16 CPP LOW INCOME RATE (LIM-AT) BY VISIBLE MINORITY STATUS 50% 40% 26% 17% 30% 20% 10% 12% 15% 8% 5% 8% 5% 8% Visible minority Non-visible minority 10% 0% NL PEI NS NB QC ON MB SK AB BC 16

17 CPP LOW INCOME RATE (LIM-AT) BY ABORIGINAL STATUS 40% 30% 15% 13% 17% 17% 12% 20% 3% 6% 6% 10% 10% Aboriginal Non-aboriginal 10% 0% NL PEI NS NB QC ON MB SK AB BC 17

18 CPP LOW INCOME RATE (LIM-AT) BY SEX 20% 4% 4% 4% 3% 3% 3% 2% 15% 2% 3% 10% 2% Male Female 5% 0% NL PEI NS NB QC ON MB SK AB BC 18

19 CPP LOW INCOME RATE (LIM-AT) BY SEX, WITH POST-SECONDARY EDUCATION 20% 15% 2% 2% 1% 10% 2% 2% 2% 1% 2% 1% 1% Male Female 5% 0% NL PEI NS NB QC ON MB SK AB BC 19

20 EXAMPLES OF THE USE OF COMMUNITY DATA

21 APPLYING THE CANADIAN INDEX OF WELLBEING TO SIMCOE COUNTY ON Barrie/Simcoe Resilience Colaborative Local assessment of CIW indicators Support of regional data provided by Community Data Program

22 MAPPING AND VISUAL TOOLS Wellbeing Toronto This web-based application that allows the user to look at and combine various indicators about neighbourhood wellbeing in the City of Toronto. wellbeing Source: Presentation by Consortia Member Social Policy Analysis & Research Section, City of Toronto, 2011

23 LOCAL DATA CENTRE: PEEL, ONTARIO The Region of Peel is made up of cities of Brampton, Mississauga and the Town of Caledon. Combines data from CCSD and other sources Data dissemination through newsletters and online Data informing research, social policy and advocacy

24 COMMUNITY INDICATOR REPORT: THE HALTON NEWCOMER STRATEGY Organizations: Halton Regional Municipality, Community Development Halton, and Halton Regional Police Services The Report provides baselines to improve our understanding of the current experience of newcomers in Halton, and to inform our progress in creating and maintaining the conditions of a welcoming community. 24

25 SPATIAL ANALYSIS OF SOCIO-ECONOMIC CONDITIONS: CITY OF HAMILTON Source: Social Planning and Research Council of Hamilton

26 SPATIAL ANALYSIS OF POVERTY: SOCIAL PLANNING COUNCIL OF WINNIPEG Source: Program Member Social Planning Council of Winnipeg

27 Discussion/Question & Answer 27

28 Part 2 Different Approaches to Measuring Poverty in Canadian Cities & Communities 28

29 TRADITIONAL MEASURES OF POVERTY LIM Low Income Measure LICO Low Income Cut Off MBM Market Basket Measure None is a formal poverty line All are different Rely on calculated income thresholds Adjusted for family size LICO & MBM adjusted for city size 29

30 LOW INCOME THRESHOLDS FOR 2011 LIM AT Family of 4 LICO AT Family of 4 Pop. 30,000-99,999 Pop. 500,000+ MBM 2 adults, 2 children Pop. 30,000-99,999 Edmonton $39,860 $30,487 $36,504 $32,471 $36,235 30

31 LOW-INCOME RATES & UNEMPLOYMENT RATE, CANADA, 1976 TO 2009 Source: Survey of Consumer Finances (1976 to 1995), Survey of Labour and Income Dynamics (1996 to 2009) and Labour Force Survey (CANSIM Table ), Statistics Canada. 31

32 3 MEASURES OF POVERTY IN 3 COMMUNITIES: INCIDENCE OF LOW INCOME LIM-AT LICO-AT MBM RANGE Canada 14.6% 10.9% 13.1% 3.7% Manitoba 15.5% 11.0% 12.0% 4.5% Winnipeg 16.6% 15.1% 13.8% 2.8% Ontario 13.8% 10.8% 13.0% 3.0% Hamilton 15.7% 14.2% 13.4% 2.3% Quebec 16.6% 12.1% 12.6% 4.5% Quebec City 14.4% 13.4% 11.1% 3.3%

33 3 MEASURES OF POVERTY IN 3 COMMUNITIES: # OF LOW INCOME PERSONS LIM-AT LICO-AT MBM RANGE Canada 4,812,115 3,573,095 4,309,945 1,239,020 Manitoba 181, , ,190 52,785 Winnipeg 108,125 98,065 89,460 18,665 Ontario 1,745,905 1,362,675 1,650, ,230 Hamilton 79,785 72,255 68,390 11,395 Quebec 1,284, , , ,295 Quebec City 72,595 67,345 56,005 16,590

34 CUSTOMISED MEASURES OF POVERTY AT A NEIGHBOURHOOD LEVEL Working Poverty Relies on taxfiler data Individuals in a low income family Earning $3000+ in working income Aged 18 to 64 Excludes full-time postsec students Excludes dependents Income Inequality Relies on taxfiler deciles data Ratio of incomes earned by highest and lowest earners % of all income earned by highest and lowest income earners 34

35 WORKING POVERTY (2010) As % of persons ages 18-64, (excluding students and dependents Canada: 6.4% Thunder Bay: 4.1% Lethbridge: 10.9% Working poor, as % all low income persons ages Canada: 34.0% Thunder Bay: 24.2% Lethbridge: 53.2% 35

36 INCOME INEQUALITY (2010) % OF TOTAL INCOME EARNED BY.. Canada Top 1%: 7.1% Bottom 20%: 6.1% City of London top 1%: 6.0% Bottom 20%: 5.8% City of Saskatoon top 1%: 7.0% bottom 20%: 5.9% 36

37 INCOME INEQUALITY (2010) CITY OF TORONTO % of total income earned by.. top 1%: 13.6% bottom 20%: 3.2% Bottom 40%: 11.3% 37

38 EXPLORING NEW SMALL AREA DATA SOURCES TO MEASURE POVERTY Environics Analytics Adjusted National Household Survey Wealthscapes database TransUnion Credit risk score Risk of Bankruptcy score Total consumer debt 38

39 BUILDING AN INDEX OF NEIGHBOURHOOD FINANCIAL SECURITY Income only tells part of the story Aspects of wealth such as assets, savings, and debt are equally critical determinants of household financial health. Community level data is needed to galvanize community action Existing analyses of financial security occur at the national or provincial scale, offering little help to those trying to understand the financial situation of Canadian households at the community level. 39

40 SHIFTING THE PERSPECTIVE: FROM INCOME TO NET WORTH

41 Income COMPONENTS OF AN INDEX OF NEIGHOURBOOD FINANCIAL SECURITY Variable Definition Average pre-tax household income, including employment income, income from government programs, pension income, investment income and any other money income; Liquid Assets Average per household value of financial assets, including registered & non-registered savings and financial investments; Real Estate Assets Average per household value of primary and other real estate; Consumer debt The average value of all household consumer debt, comprising debt from credit cards, personal loans and lines of credit; Mortgage debt Risk of Bankruptcy The average per household value of all mortgage debt; The score used by financial institutions to measure the likelihood of individuals filing for bankruptcy.

42 THE PILOT PROJECT: Pilot Communities: City of Toronto City of Calgary Wood Buffalo Regional Municipality Geographic data: Canadian and provincial averages Averages for all CMAs and all non-cmas in Canada Pilot community census subdivision and census division Pilot community dissemination areas (DAs) Data Year:

43 MEASURING NEIGHBOURHOOD FINANCE: CASE STUDY OF CALGARY Household Income $121,167 All CMAs: $92,079 Household Savings $98,284 All CMAs: $90,950 Household Assets $835,961 40% invested in primary real estate (national average 46%) All CMAs: $635,788 Household Debt $199,726 Mortgage debt accounts for 73% (national average 70%) All CMAs: $137,133 43

44 MEASURING NEIGHBOURHOOD FINANCIAL SECURITY WITHIN CALGARY The positive citywide snapshot of financial security masks considerable variation at the neighbourhood level. 44

45 VISUALIZING THE DATA 45

46 Neighbourhood Rank by Decile (Colour) (Rank out of 1,592 DAs) DA# St SE/16 Av SE Low Income DA# Taravista Way NE / Taradale Dr NE Lower-Middle Income Overall 3 (1,141) 1 (1,561) Assets 1 (1,592) 4 (1,002) Savings 1 (1,553) 1 (1,582) Debt 10 (6) 2 (1,330) Income 1 (1,531) 4 (1,055)

47 Discussion/Question & Answer 47

48 10 MINUTE BREAK 48

49 Part 3 A Community Analytics Project: Measuring poverty across the Cities Reducing Poverty Network

50 MEASURING POVERTY ACROSS THE CITIES REDUCING POVERTY NETWORK Contribute to a common evaluation framework for poverty reduction for the Cities Reducing Poverty network Support the Cities Reducing Poverty framework s Population cluster of indicators Compile indicators related to poverty reduction Enable comparison among the members of the network Provide data for time-series analysis: 2010 and

51 MEASURING POVERTY: THE INDICATORS Series 1 Indicators Average (After Tax) & Median Income (Before Tax) Incidence of Low Income (LIM-AT) By Family type: Couples; Lone-Parents; Singles By age: 0-17, 65+ Source: STC Taxfiler Standard Tables, 2010, 2011 Series 2 indicators Working Poverty (Based on Working Income Tax Credit) Income Inequality (Share of total income by decile) Source: STC Taxfiler Special Order, 2010,

52 CITIES REDUCING POVERTY NETWORK LOW INCOME COUPLE FAMILIES (2011) Strathcona County 2.5% Red Deer 5.4% Sherbrooke 6.8% Wood Buffalo 3.5% Iqaluit 5.6% Nelson 6.9% Grande Prairie 3.7% Nipissing 5.6% Saskatoon 6.9% Sudbury 3.7% Simcoe County 5.8% Edmonton 7.3% Revelstoke 3.8% Halton Region 5.8% Haliburton 7.5% Medicine Hat 3.9% Kawartha Lakes 5.9% Calgary 7.5% Whitehorse 4.1% Durham Region 5.9% Saint John 7.9% Quebec City 4.2% Kingston 5.9% Lethbridge 8.1% Yellowknife 4.3% Victoria 6.0% Hamilton 8.1% Oxford County 4.5% Regina 6.0% Charlotte County CIN 8.2% Sault Ste. Marie 4.5% Peterborough 6.1% Winnipeg 8.2% Sarnia-Lambton 4.5% Halifax 6.1% Canada 8.5% Antigonish 4.7% Fredericton 6.4% Charlottetown 8.6% Huron County 4.7% Waterloo Region 6.4% London 9.1% Dufferin County 4.8% St. John s 6.5% Abbotsford 9.2% Northumberland 4.9% Niagara Region 6.6% York Region 11.7% Thunder Bay 4.9% Elgin 6.6% Surrey 13.7% Moncton 4.9% Haldimand-Norfolk 6.6% Peel Region 13.8% Wellington-Guelph 5.1% Brant-Brantford 6.7% St. Michel (Montreal) 14.2% Leeds and Grenville 5.1% Chatham-Kent 6.7% Windsor (Essex) 14.7% Trois Rivieres 5.3% Chaleur CIN 6.7% Richmond 22.0%

53 CITIES REDUCING POVERTY NETWORK LOW INCOME LONE-PARENT FAMILIES (2011) Strathcona County 16.8% Kingston 30.3% Peterborough 34.4% Quebec City 20.6% Edmonton 30.9% Haliburton 34.5% Halton Region 20.6% Trois Rivieres 31.3% Sarnia-Lambton 34.7% Whitehorse 20.8% Chaleur CIN 31.6% Iqaluit 34.8% York Region 26.2% Antigonish 31.6% Saskatoon 35.1% Calgary 26.7% Sudbury 31.8% Elgin 35.1% Durham Region 27.5% Red Deer 31.9% St. Michel (Montreal) 35.2% Wellington-Guelph 27.9% Niagara Region 31.9% Sault Ste. Marie 35.3% Yellowknife 28.0% Richmond 31.9% Winnipeg 35.6% Dufferin County 28.1% Haldimand-Norfolk 32.0% Thunder Bay 35.7% Revelstoke 28.6% Simcoe County 32.2% St. John s 36.1% Peel Region 28.7% Lethbridge 32.2% Windsor (Essex) 36.3% Victoria 28.8% Moncton 32.2% Nipissing 36.4% Oxford County 29.0% Charlottetown 32.3% Surrey 36.6% Waterloo Region 29.1% Halifax 32.3% Abbotsford 36.8% Leeds and Grenville 29.1% Canada 32.4% Nelson 37.0% Huron County 29.6% Kawartha Lakes 32.6% Brant-Brantford 37.4% Wood Buffalo 29.8% Grande Prairie 33.3% Fredericton 38.0% Northumberland 29.9% Hamilton 33.9% Chatham-Kent 38.7% Sherbrooke 30.3% Medicine Hat 34.3% Charlotte County CIN 40.7% Regina 30.3% London 34.3% Saint John 41.2%

54 CITIES REDUCING POVERTY NETWORK LOW INCOME NON-FAMILY PERSONS (2011) Wood Buffalo 10.4% Leeds and Grenville 22.3% Winnipeg 26.8% Strathcona County 12.6% Dufferin County 22.6% Hamilton 27.0% Grande Prairie 14.2% Haliburton 23.0% Moncton 27.2% Iqaluit 15.4% Simcoe County 23.4% London 27.3% Whitehorse 15.6% Sudbury 23.5% Halifax 27.3% Medicine Hat 17.5% Durham Region 23.7% Fredericton 27.6% Yellowknife 17.8% Thunder Bay 23.7% Windsor (Essex) 28.1% Huron County 18.5% Victoria 23.8% Antigonish 28.7% Red Deer 19.4% Waterloo Region 23.9% Abbotsford 28.9% Calgary 19.5% Niagara Region 24.4% Charlottetown 29.4% Halton Region 19.8% Elgin 24.5% St. John s 29.5% Edmonton 20.0% Quebec City 25.0% Nelson 29.5% Oxford County 20.1% Peterborough 25.3% Saint John 30.0% Northumberland 20.2% Chatham-Kent 25.4% York Region 31.2% Regina 20.9% Lethbridge 25.5% Peel Region 31.3% Sarnia-Lambton 21.2% Brant-Brantford 25.5% Trois Rivieres 31.5% Haldimand-Norfolk 21.6% Sault Ste. Marie 25.5% Sherbrooke 32.9% Wellington-Guelph 21.7% Kingston 25.7% Surrey 33.5% Revelstoke 21.9% Nipissing 26.5% Chaleur CIN 33.9% Saskatoon 22.1% Charlotte County CIN 26.7% St. Michel (Montreal) 34.5% Kawartha Lakes 22.2% Canada 26.7% Richmond 37.4%

55 CITIES REDUCING POVERTY NETWORK COUPLE FAMILIES MEDIAN INCOME (2011) Richmond 58,610 $ Niagara Region 76,080 $ Waterloo Region 87,150 $ Haliburton 60,760 $ Charlottetown 76,340 $ Halifax 87,430 $ Chaleur CIN 64,400 $ Nipissing 76,500 $ Medicine Hat 88,910 $ Charlotte County CIN 64,560 $ Brant-Brantford 77,960 $ York Region 88,950 $ St. Michel (Montreal) 65,290 $ Leeds and Grenville 78,990 $ Wellington-Guelph 89,310 $ Surrey 67,990 $ Canada 79,530 $ St. John s 91,170 $ Abbotsford 68,380 $ Winnipeg 79,770 $ Dufferin County 91,200 $ Chatham-Kent 70,230 $ Fredericton 79,930 $ Saskatoon 92,270 $ Trois Rivieres 70,950 $ Lethbridge 80,010 $ Sudbury 92,320 $ Kawartha Lakes 71,110 $ London 80,220 $ Edmonton 92,990 $ Saint John 71,110 $ Oxford County 80,490 $ Durham Region 94,010 $ Sherbrooke 72,110 $ Hamilton 80,580 $ Red Deer 95,850 $ Nelson 72,180 $ Simcoe County 81,010 $ Regina 97,810 $ Windsor (Essex) 73,580 $ Quebec City 81,280 $ Calgary 100,010 $ Peel Region 74,060 $ Sault Ste. Marie 81,380 $ Halton Region 108,110 $ Elgin 75,110 $ Revelstoke 81,910 $ Whitehorse 109,430 $ Huron County 75,140 $ Antigonish 81,940 $ Grande Prairie 113,540 $ Moncton 75,180 $ Victoria 84,890 $ Strathcona County 128,010 $ Peterborough 75,860 $ Sarnia-Lambton 85,110 $ Yellowknife 146,570 $ Haldimand-Norfolk 75,870 $ Kingston 86,110 $ Iqaluit 159,430 $ Northumberland 76,060 $ Thunder Bay 87,010 $ Wood Buffalo 185,400 $

56 CITIES REDUCING POVERTY NETWORK LONE-PARENT FAMILIES MEDIAN INCOME (2011) Charlotte County CIN 29,730 $ Kawartha Lakes 36,180 $ Red Deer 39,540 $ Saint John 30,100 $ Niagara Region 36,220 $ Oxford County 39,750 $ Chatham-Kent 32,210 $ Haldimand-Norfolk 36,340 $ Lethbridge 39,920 $ Nelson 32,310 $ Thunder Bay 36,460 $ Waterloo Region 40,120 $ Chaleur CIN 32,320 $ London 36,690 $ Dufferin County 40,130 $ Fredericton 32,920 $ Northumberland 36,780 $ Revelstoke 40,980 $ Haliburton 33,340 $ Hamilton 36,910 $ Victoria 41,480 $ Nipissing 33,360 $ Trois Rivieres 36,970 $ Regina 41,870 $ Brant-Brantford 33,670 $ Medicine Hat 37,150 $ Peel Region 42,210 $ Abbotsford 33,980 $ Halifax 37,190 $ Wellington-Guelph 42,310 $ Sault Ste. Marie 34,180 $ Leeds and Grenville 37,300 $ Edmonton 42,530 $ St. John s 34,580 $ Simcoe County 37,320 $ Durham Region 44,160 $ Elgin 34,840 $ Winnipeg 37,770 $ York Region 45,170 $ Windsor (Essex) 34,910 $ Canada 37,900 $ Quebec City 45,450 $ Moncton 34,910 $ Saskatoon 37,950 $ Iqaluit 46,130 $ Peterborough 35,090 $ Sherbrooke 38,010 $ Calgary 46,720 $ Charlottetown 35,220 $ Sudbury 38,070 $ Whitehorse 49,420 $ St. Michel (Montreal) 35,280 $ Huron County 38,350 $ Halton Region 52,920 $ Sarnia-Lambton 35,690 $ Kingston 38,700 $ Yellowknife 53,950 $ Surrey 35,780 $ Richmond 38,940 $ Wood Buffalo 55,980 $ Antigonish 35,870 $ Grande Prairie 38,950 $ Strathcona County 60,350 $

57 CITIES REDUCING POVERTY NETWORK NON-FAMILY PERSONS MEDIAN INCOME (2011) Chaleur CIN 19,330 $ Peterborough 24,970 $ Oxford County 28,080 $ Trois Rivieres 21,000 $ Lethbridge 25,000 $ Northumberland 28,240 $ Sherbrooke 21,230 $ Fredericton 25,030 $ Revelstoke 28,280 $ Richmond 21,580 $ Hamilton 25,340 $ Waterloo Region 28,450 $ Charlotte County CIN 21,820 $ Elgin 25,410 $ Medicine Hat 29,310 $ St. Michel (Montreal) 22,100 $ Kawartha Lakes 25,460 $ Victoria 29,370 $ Antigonish 22,170 $ Niagara Region 25,620 $ Durham Region 29,460 $ Saint John 22,790 $ Canada 25,660 $ Sarnia-Lambton 29,570 $ Surrey 23,140 $ Windsor (Essex) 25,750 $ Wellington-Guelph 29,830 $ York Region 23,180 $ Haldimand-Norfolk 26,040 $ Saskatoon 30,240 $ Nelson 23,480 $ London 26,560 $ Regina 31,780 $ Abbotsford 23,540 $ Winnipeg 26,930 $ Red Deer 33,010 $ Nipissing 23,640 $ Simcoe County 27,000 $ Edmonton 33,030 $ Charlottetown 23,730 $ Leeds and Grenville 27,040 $ Halton Region 34,280 $ Moncton 24,030 $ Quebec City 27,080 $ Calgary 35,640 $ Peel Region 24,070 $ Thunder Bay 27,510 $ Whitehorse 37,840 $ Chatham-Kent 24,540 $ Kingston 27,560 $ Grande Prairie 40,960 $ Haliburton 24,600 $ Sudbury 27,640 $ Strathcona County 41,320 $ St. John s 24,600 $ Halifax 27,680 $ Yellowknife 48,320 $ Sault Ste. Marie 24,650 $ Huron County 27,690 $ Iqaluit 61,280 $ Brant-Brantford 24,810 $ Dufferin County 27,850 $ Wood Buffalo 75,580 $

58 CITIES REDUCING POVERTY NETWORK COMPARING INCIDENCE OF MEDIAN INCOME TO INCIDENCE OF LOW INCOME 200,000 $ 160,000 $ 120,000 $ Wood Buffalo Iqaluit Yellowknife Strathcona County Couple families Lone parent families Non-family persons 80,000 $ Richmond 40,000 $ Wood Buffalo Saint John St. Michel Charlotte County 0 $ 0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 58

59 CITIES REDUCING POVERTY NETWORK PROPORTION OF POPULATION AGED THAT IS WORKING POOR (2010) Strathcona County 2.9% Regina 5.3% Moncton 6.5% Wood Buffalo 3.2% Haldimand-Norfolk 5.3% Capital Regional District 6.5% Thunder Bay 4.1% Kawartha Lakes 5.4% Haliburton 7.0% Sudbury 4.1% Chatham-Kent 5.5% Red Deer 7.0% Sault Ste. Marie 4.2% Brant-Brantford 5.5% Winnipeg 7.1% Halton Region 4.3% Peterborough 5.5% York Region 7.2% Quebec City 4.3% St. John s 5.5% Revelstoke 7.2% Sarnia-Lambton 4.4% Elgin 5.6% Charlotte County CIN 8.2% Oxford County 4.8% Simcoe County 5.7% Saint John 8.2% Trois Rivieres 4.8% Medicine Hat 5.8% Abbotsford 8.2% Nipissing 4.8% Saskatoon 5.8% Montreal-St. Michel 8.2% Durham Region 4.8% Hamilton 5.9% Peel Region 8.3% Wellington-Guelph 4.9% Edmonton 5.9% Windsor-Essex 8.6% Grande Prairie 4.9% Calgary 5.9% Charlottetown 8.7% Waterloo Region 4.9% Chaleur CIN 6.0% Surrey 9.2% Kingston 5.0% Niagara Region 6.0% Lethbridge 10.9% Leeds and Grenville 5.0% London 6.2% Yellowknife n/a Huron County 5.1% Antigonish 6.3% Whitehorse n/a Dufferin County 5.2% Halifax 6.3% Sherbrooke 5.2% Canada 6.4%

60 CITIES REDUCING POVERTY NETWORK INCOME INEQUALITY(RATIO OF 9TH/1ST DECILE) Oxford County 4.2 Sault Ste. Marie 4.9 Winnipeg 5.6 Huron County 4.3 Nipissing 4.9 Lethbridge 5.7 Quebec City 4.4 Chatham-Kent 4.9 Regina 5.7 Revelstoke 4.5 Niagara Region 4.9 Halifax 5.7 Strathcona County 4.6 Sherbrooke 5.0 Saint John 5.7 Haldimand-Norfolk 4.6 Medicine Hat 5.0 Canada 5.7 Northumberland 4.6 Sudbury 5.0 Nelson 5.8 Moncton 4.6 Sarnia-Lambton 5.0 Victoria (Capital Regional District) 5.8 Leeds and Grenville 4.6 Peterborough 5.1 Saskatoon 5.8 Dufferin County 4.6 Thunder Bay 5.1 London 5.9 Kawartha Lakes 4.6 Waterloo Region 5.1 Wood Buffalo 6.0 Haliburton 4.7 Durham Region 5.1 Windsor (Essex) 6.1 Antigonish 4.7 Charlottetown 5.3 Peel Region 6.2 Elgin 4.7 Grande Prairie 5.3 Edmonton 6.2 Chaleur CIN 4.7 Fredericton 5.4 Surrey 6.2 Trois Rivieres 4.7 Abbotsford 5.4 St. Michel (Montreal) 6.6 Charlotte County CIN 4.7 Kingston 5.5 St. John s 6.7 Brant-Brantford 4.8 Hamilton 5.6 York Region 6.7 Simcoe County 4.9 Red Deer 5.6 Calgary 7.1 Wellington-Guelph 4.9 Halton Region 5.6 Richmond 10.9

61 Measuring Poverty across the cities reducing poverty network Mapping census tract (CT) data in the City of Ottawa 61

62 OTTAWA % Low income persons Statistics Canada Taxfiler T1FF

63 OTTAWA % Low income, aged Statistics Canada Taxfiler T1FF

64 OTTAWA % Low income children, aged 0-17 Statistics Canada Taxfiler T1FF

65 OTTAWA % Low income seniors, aged 65+ Statistics Canada Taxfiler T1FF

66 OTTAWA % Working Poor, aged (excluding dependents & students) Statistics Canada Taxfiler Custom Order

67 OTTAWA Working poor as a % of low income persons (aged 18-64) Statistics Canada Taxfiler Custom Order

68 Discussion/Question & Answer 68

69 Michel holds a Master of Urban Planning (1993) and Bachelor of Arts (1991) from McGill University, and is a full member of the Canadian Institute of Planners and the Project Management Institute. Michel has served as lead consultant offering comprehensive support to Canada's leading municipal indicator and community data access projects. These include the Canadian Council on Social Development s Community Data Program (since 2005); the Federation of Canadian Municipalities' Quality of Life Reporting System (since 2002); and the Community Foundations of Canada's Vital Signs Repor ts ( ). SPEAKER BIO Michel Frojmovic, Program Lead 69

70 Michael works on various knowledge-sharing and monitoring initiatives, focussing on the creation and dissemination of sustainability indicators that track local trends and inform policy. Projects involve engaging multiple stakeholders, production of reports and shared databases, as well as providing online tools with access to content, data and rigorously maintained metadata. Projects have included Federation of Canadian Municipalities' Quality of Life Reporting System the Canadian Council on Social Developments' Community Data Program, the Community Foundation of Canada s Vital Signs Reports and the Sustainable Community Indicators Program, a joint project of Environment Canada, Canada Mortgage and Housing Corporation and the Federation of Canadian Municipalities. SPEAKER BIO Michael Ditor, Senior Analyst 70

71 CCSD S COMMUNITY DATA PROGRAM For more information, contact Michel Frojmovic, MCIP, RPP, PMP Lead, Community Data Program michel@ccsd.ca Social Development by Design Canadian Council on Social Development 71