NORTHERN LEADERS’ FORUM
METRICS OF NORTHERN GROWTH
10 NOVEMBER 2015, THUNDER BAY
NORTHERN LEADERS FORUM METRICS OF NORTHERN GROWTH 10 NOVEMBER 2015, - - PowerPoint PPT Presentation
NORTHERN LEADERS FORUM METRICS OF NORTHERN GROWTH 10 NOVEMBER 2015, THUNDER BAY Northern Growth Categories of regional and district level economic measures 1. Governance 2. Regional GDP 3. Population 4. Migration 5. Dependency
10 NOVEMBER 2015, THUNDER BAY
1. Governance 2. Regional GDP 3. Population 4. Migration 5. Dependency 6. Labour 7. Education 8. Human Capital & Labour Productivity 9. Occupational Demand
NOTE 1: Social and Environmental measures are pending NOTE 2: Community level measures will follow as available
19,000 19,500 20,000 20,500 21,000 21,500 22,000 22,500 23,000 23,500 24,000 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Northeast Ontario
7,500 8,000 8,500 9,000 9,500 10,000 10,500 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Northwest Ontario Source: Author’s calculations based on Statistics Canada, CANSIM database, tables 282-0125 and 379-0030.
20 40 60 80 100 120 20 40 60 80 100 120 140 160 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Agriculture
0.5% 0.3%
500 1,000 1,500 2,000 2,500 3,000 1,000 2,000 3,000 4,000 5,000 6,000 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Forestry, fishing, mining, quarrying, oil and gas
18.3% 10.2%
100 200 300 400 500 600 100 200 300 400 500 600 700 800 900 1,000 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Utilities
3.3% 4.7%
300 350 400 450 500 550 600 650 600 700 800 900 1,000 1,100 1,200 1,300 1,400 1,500 1,600
Construction
5.6% 6.0%
200 400 600 800 1,000 1,200 1,400 1,600 1,500 1,600 1,700 1,800 1,900 2,000 2,100 2,200 2,300 2,400
Manufacturing
7.7% 4.1%
Source: Author’s calculations based on Statistics Canada, CANSIM database, tables 282-0125 and 379-0030.
800 850 900 950 1,000 1,050 1,100 1,150 1,200 1,500 1,700 1,900 2,100 2,300 2,500 2,700 2,900 3,100 3,300 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Trade (Wholesale and Retail)
12.5% 13.9%
300 350 400 450 500 550 750 800 850 900 950 1,000 1,050 1,100 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Transportation and Warehousing
3.9% 5.1%
800 900 1,000 1,100 1,200 1,300 1,400 2,200 2,300 2,400 2,500 2,600 2,700 2,800 2,900 3,000 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Finance, insurance, real estate & leasing
10.2% 11.7%
50 100 150 200 250 300 350 100 200 300 400 500 600 700 800 900 1,000 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Professional, scientific & technical services
3.3% 3.4%
150 170 190 210 230 250 270 290 310 330 300 400 500 600 700 800 900 1,000 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Business, building & other support services
2.9% 3.2%
450 500 550 600 650 700 1,100 1,200 1,300 1,400 1,500 1,600 1,700 1,800 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Educational services
6.5% 6.7%
Source: Author’s calculations based on Statistics Canada, CANSIM database, tables 282-0125 and 379-0030.
700 750 800 850 900 950 1,000 1,050 1,500 1,600 1,700 1,800 1,900 2,000 2,100 2,200 2,300 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Health care & social assistance
9.4% 11.2%
200 220 240 260 280 300 320 340 360 380 400 400 500 600 700 800 900 1,000 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Information, culture & recreation
3.3% 3.4%
150 170 190 210 230 250 270 290 310 350 400 450 500 550 600 650 700 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Accommodation & food services
2.1% 2.3%
125 135 145 155 165 175 185 195 205 215 350 370 390 410 430 450 470 490 510 530
Other services
1.9% 2.4%
600 650 700 750 800 850 900 950 1,000 1,050 1,250 1,450 1,650 1,850 2,050 2,250 2,450 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Public administration
8.3% 11.3%
Source: Author’s calculations based on Statistics Canada, CANSIM database, tables 282-0125 and 379-0030.
Algoma, -10.15% Cochrane, -11.86% Manitoulin, 0.21% Nipissing, 3.25% Parry Sound, 0.57% Greater Sudbury, 0.08% Sudbury, -19.96% Timiskaming, - 7.28%
0% 5%
Northeast districts - Cumulative population growth
Kenora, 3.40% Rainy River, -14.93% Thunder Bay, -2.56%
0% 5% 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041
Northwest districts - Cumulative population growth Source: Author’s calculations based on Ontario, Ministry of Finance, “Ontario Population Projections, 2013-2041” (Toronto, 2014).
0% 1% 2% 3% 4% 5% 6% 7% 8% 9% 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90+
Northwest Ontario - Distribution of population by age
2013 2041 0% 1% 2% 3% 4% 5% 6% 7% 8% 9% 10% 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90+
Northeast Ontario - Distribution of population by age
2013 2041
Source: Author’s calculations based on Ontario, Ministry of Finance, “Ontario Population Projections, 2013-2041” (Toronto, 2014).
8,108 10,996 9,248 12,258 2,157 2,878 2,000 4,000 6,000 8,000 10,000 12,000 14,000 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041
Projected Aboriginal Labour Force, 2013-41
Thunder Bay Kenora Rainy River
82 79.7 90.3 69.0 60 65 70 75 80 85 90 95 100 105 2010 2015 2020 2025 2030 2035 2040 2045
Projected Labour Supply (2013=100)
N.W.O. Thunder Bay D. Kenora D. Rainy River D. 16.5 27.0 10.8 18.4 27.4 40.3 22.8 44.0
20.0 30.0 40.0 50.0 2010 2015 2020 2025 2030 2035 2040 2045
Aboriginal Share of the Labour Force (%)
N.W.O. Thunder Bay D. Kenora D. Rainy River D.
* NE in progress
Source: Moazzami, Bakhtiar. 2015. “Northwestern Ontario Districts.” Unpublished manuscript. Thunder Bay: Northern Policy Institute.
100 200 300 2001/2002 2002/2003 2003/2004 2004/2005 2005/2006 2006/2007 2007/2008 2008/2009 2009/2010 2010/2011 2011/2012 2012/2013 2013/2014
Nipissing
50 100 150 2001/2002 2002/2003 2003/2004 2004/2005 2005/2006 2006/2007 2007/2008 2008/2009 2009/2010 2010/2011 2011/2012 2012/2013 2013/2014
Parry Sound
100 2001/2002 2002/2003 2003/2004 2004/2005 2005/2006 2006/2007 2007/2008 2008/2009 2009/2010 2010/2011 2011/2012 2012/2013 2013/2014
Manitoulin
500 1000 1500 2001/2002 2002/2003 2003/2004 2004/2005 2005/2006 2006/2007 2007/2008 2008/2009 2009/2010 2010/2011 2011/2012 2012/2013 2013/2014
Sudbury
200 400 600 2001/2002 2002/2003 2003/2004 2004/2005 2005/2006 2006/2007 2007/2008 2008/2009 2009/2010 2010/2011 2011/2012 2012/2013 2013/2014
Greater Sudbury
100 2001/2002 2002/2003 2003/2004 2004/2005 2005/2006 2006/2007 2007/2008 2008/2009 2009/2010 2010/2011 2011/2012 2012/2013 2013/2014
Timiskaming
100 2001/2002 2002/2003 2003/2004 2004/2005 2005/2006 2006/2007 2007/2008 2008/2009 2009/2010 2010/2011 2011/2012 2012/2013 2013/2014
Cochrane
200 2001/2002 2002/2003 2003/2004 2004/2005 2005/2006 2006/2007 2007/2008 2008/2009 2009/2010 2010/2011 2011/2012 2012/2013 2013/2014
Algoma Source: Author’s calculations based on Statistics Canada, CANSIM database, table 051-0053.
100 200
Thunder Bay
20 40
Rainy River
Kenora Source: Author’s calculations based on Statistics Canada, CANSIM database, table 051-0053.
0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 Canada Ontario
Kenora Nipissing Thunder Bay Cochrane Timiskaming Algoma Rainy River Sudbury Manitoulin Parry Sound
2015 2030 2041 Source: Author’s calculations based on Ontario, Ministry of Finance, “Ontario Population Projections, 2013-2041” (Toronto, 2014).
Target 1 = to hold dependency ratio at current level (i.e. just shy of .5 for Thunder Bay as of 2015, see slide 14) Target 2 = allowing dependency ratio to rise to match the provincial rate by 2041 (i.e. just shy of .7, see slide 14)
500 1,000 1,500 2,000 2,500 2016 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040
Algoma
500 1,000 1,500 2,000 2016 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040
Cochrane
50 100 150 200 250 300 350 2016 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040
Manitoulin
500 1,000 1,500 2,000 2,500 2016 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040
Nipissing
200 400 600 800 1,000 2016 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040
Parry Sound
500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 2016 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040
Greater Sudbury
100 200 300 400 500 600 700 2016 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040
Sudbury
200 400 600 800 1,000 2016 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040
Timiskaming Source: Author’s calculations based on Ontario, Ministry of Finance, “Ontario Population Projections, 2013-2041” (Toronto, 2014).
Target 1 = to hold dependency ratio at current level (i.e. just shy of .5 for Thunder Bay as of 2015, see slide 14) Target 2 = allowing dependency ratio to rise to match the provincial rate by 2041 (i.e. just shy of .7, see slide 14)
500 1,000 1,500 2,000 2,500 3,000 3,500 4,000
Thunder Bay
200 400 600 800 1,000 1,200
Kenora
100 200 300 400 500
Rainy River Source: Author’s calculations based on Ontario, Ministry of Finance, “Ontario Population Projections, 2013-2041” (Toronto, 2014).
45 47 49 51 53 55 57 59 61 63 65 2006/07 2007/08 2008/09 2009/10 2010/11 2011/12 2012/13 2013/14
Employment Rate (%), Northern Ontario Census Divisions, 2-year averages, 2006/07 to 2013/14
Nipissing Manitoulin, Sudbury, Timiskaming Greater Sudbury Cochrane Algoma Thunder Bay Rainy River, Kenora Ontario Canada
Source: Statistics Canada, CANSIM Table 282-0002 and custom tabulation. Note: District-level data is only available as 2-year
compare with district-level data.
Source: Statistics Canada, CANSIM Table 282-0002 and custom tabulation. Note: District-level data is only available as 2- year averages. As such, annual Labour Force Survey data for Ontario and Canada was manipulated into 2-year averages in order to compare with district-level data.
5 5.5 6 6.5 7 7.5 8 8.5 9 9.5 10 2006/07 2007/08 2008/09 2009/10 2010/11 2011/12 2012/13 2013/14
Unemployment Rate (%), Northern Ontario Census Divisions, 2-year averages, 2006/07 to 2013/14
Nipissing Manitoulin, Sudbury, Timiskaming Greater Sudbury Cochrane Algoma Thunder Bay Rainy River, Kenora Ontario Canada
Source: Statistics Canada, CANSIM Table 282-0002 and custom tabulation. Note: District-level data is only available as 2- year averages. As such, annual Labour Force Survey data for Ontario and Canada was manipulated into 2-year averages in order to compare with district-level data.
50 52 54 56 58 60 62 64 66 68 70 2006/07 2007/08 2008/09 2009/10 2010/11 2011/12 2012/13 2013/14
Participation Rate (%), Northern Ontario Census Divisions, 2-year averages, 2006/07 to 2013/14
Nipissing Manitoulin, Sudbury, Timiskaming Greater Sudbury Cochrane Algoma Thunder Bay Rainy River, Kenora Ontario Canada
30 35 40 45 50 55 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 (July)
Youth Employment Rate (15 to 19 years)
Northeast Northwest Ontario Canada 55 57 59 61 63 65 67 69 71 73 75 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 (July)
Youth Employment Rate (20 to 24 years)
Northeast Northwest Ontario Canada
Source: Author’s calculations based on Statistics Canada, custom tabulation.
12 14 16 18 20 22 24 26 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 (July)
Youth Unemployment Rate (15 to 19 years)
Northeast Northwest Ontario Canada 6 8 10 12 14 16 18 20 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 (July)
Youth Unemployment Rate (20 to 24 years)
Northeast Northwest Ontario Canada
Source: Author’s calculations based on Statistics Canada, custom tabulation.
40 45 50 55 60 65 70 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 (July)
Youth Participation Rate (15 to 19 years)
Northeast Northwest Ontario Canada 68 70 72 74 76 78 80 82 84 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 (July)
Youth Participation Rate (20 to 24 years)
Northeast Northwest Ontario Canada
Source: Author’s calculations based on Statistics Canada, custom tabulation.
15% 20% 25% 30% 35% 40% 45% 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Involuntary part-time employment rate (%)
Canada Ontario Northeast Northwest
Involuntary part-time employment in 2014:
Involuntary part-time employment rate is the percent of part-time jobs that are being filled by individuals who would prefer to be working full- time
Also tracking this indicator by age and gender
Source: Author’s calculations based on Statistics Canada, custom tabulation.
8% 9% 10% 11% 12% 13% 14% 15% 16% 17% 18% 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Temporary employment as a share of all employees
Canada Ontario Northeast Northwest
Temporary employment includes seasonal, term or contract, casual and other temporary jobs Temporary employment is only a small chunk of total employment. As of 2014:
Also tracking this indicator by age, gender and industry
Source: Author’s calculations based on Statistics Canada, custom tabulation.