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Forecasting the next 30 years
of metro development
Ramsey County
March 1, 2016
1
Today’s discussion
• Why and how Met Council forecasts
• What data are considered in the
regional and local forecasts
• Particularly interaction of land plans,
market forces, transportation
• A view on the future: Forecast results
• Your questions
2
Why we forecast
• Forecasts provide a reference as the
Council and local governments prepare
plans “addressing areas and populations
to be served, the levels, distribution, and
staging of services” (Minn. Stat. 473.146)
– Regional systems are scaled and staged to
accommodate forecasts
– Local plans accommodate the same growth
forecasts
3
Metropolitan Council
How we forecast: models
• Models represent real-
world questions in a
simplified way…
– Key components
– System interactions
– Big-picture view
• Allowing freedom to…
– Test alternative scenarios
4
Forecast models toolkit
A regional economic model for
region-level employment and population
A land use model for allocating
future land use, households and
employment to the local level
Travel demand
model
5
Employment growth: +32%
2,033,000
0.0
0.5
1.0
1.5
2.0
2.5
1970 1980 1990 2000 2010 2020 2030 2040
Millions
Source: 2010 employment counts from Minnesota Department of Employment and
Economic Development; 2020-2040 forecasts from Metropolitan Council (July 2015)
6
Population growth: +28%
3,652,000
0.0
1.0
2.0
3.0
4.0
1970 1980 1990 2000 2010 2020 2030 2040
Millions
Source: 2010 data on population and households from Census Bureau;
2020-2040 forecasts from Metropolitan Council (July 2015)
7
Households growth by type
229,000 244,000 238,000 249,000
280,000 292,000 278,000 289,000
418,000 426,000 439,000 462,000
90,000
134,000 193,000
236,000
100,000
162,000
229,000
249,000
2010 2020 2030 2040
Age 65+: 2+ person
household
Age 65+: 1 person
household
Under 65: 3+ person
household
Under 65: 2 person
household
Under 65: 1 person
household
Source: 2010 data on population and households from Census Bureau;
2020-2040 forecasts from Metropolitan Council (2015)
8
Need for a local land use model
Totals from the regional model
are allocated to local zones
• Complete “loop” of transportation
and land use interaction
• Local land use model provides
distributions of people and jobs to
travel demand model
• Travel demand model returns
future network conditions,
accessibility measures
Population
Households
Jobs
9
Households, 2040
10
Met Council’s local land use model
• Key dynamics and components
of real estate market
• Where will we add 500,000 jobs
and 370,000 households?
– Site selection of households and
employers: what locations best
satisfy preferences, mediated by
prices?
– Supply of real estate: what locations
are viable to developers?
11
Local data informs the model
Housing by type
Housing by type
Rent Equivalent Average (Weighted)
GISLibrary.DBO.TAZ2000
WRENTSFD
Less than 1,400
1,400 to 1,799
1,800 to 2,199
2,200 to 2,599
2,600 to 4,000
Rent for SF home
12
Local data informs the model
• Base year land supply
• Employment levels
• Socio-economic
characteristics
• Housing stock
• Building costs, land prices
• Average rents
• Land consumption rates
• Regional systems and
services
• Planned land use as a
constraint
• Accessibility, by car and by
transit
13
Peak hour drive times to State Fair: 2030
• In the future: more
people, more jobs
• Concurrently, travel
times can worsen
• Cumulative
accessibility can
increase or
decrease
14
Local plans provide the envelope for what
development is allowable, possible
15
We also consider the urban form today as
the starting template for future growth
16
Households Growth, 2010-2040
< 1,000 households
1,001 4,000
4,0018,000
8,00116,000
16,00140,460
• The region will gain
370,000 households
over 30 years
• Expect growth in all
parts of the metro
urban services area
17
Current households + growth
18
Growth in Ramsey County to 2040
0
50,000
100,000
150,000
200,000
250,000
300,000
1990 2000 2010 2020 2030 2040
Households
Households growth
Ramsey
St. Paul
0
50,000
100,000
150,000
200,000
250,000
300,000
350,000
400,000
450,000
1990 2000 2010 2020 2030 2040Employment
Employment growth
19
Some aspects of the local forecasts are
surprising – but consistent with larger
demographic and market trends
• Long-term demand – for both locations and
real estate types – will continue changing
• Long-term, the fastest growing market
segments want central locations, access to
destinations, and a mix of housing options
20
Households growth: smaller, older
229,000 244,000 238,000 249,000
280,000 292,000 278,000 289,000
418,000 426,000 439,000 462,000
90,000
134,000 193,000
236,000
100,000
162,000
229,000
249,000
2010 2020 2030 2040
Age 65+: 2+ person
household
Age 65+: 1 person
household
Under 65: 3+ person
household
Under 65: 2 person
household
Under 65: 1 person
household
Source: 2010 data on population and households from Census Bureau;
2020-2040 forecasts from Metropolitan Council (March 2015)
21
The next 370,000 housing units
• With this demographic
mix, most housing to
be added will be
multifamily or attached
housing
• This is an estimate of
long-term demand
• What developers have
supplied or will supply
could differ
Manufactured
housing
1%
Single
family
detached
29%
Multifamily and attached
70%
22
65 and over population: 2014
23
65 and over population: 2040
24
AGE_65_UP / POPINHH
0 - 10%
10 - 20%
20 - 30%
30 to 40%
Over 40%
65 and over population: 2014
25
AGE_65_UP / POPINHH
0 - 10%
10 - 20%
20 - 30%
30 to 40%
Over 40%
65 and over population: 2040
26
1 person households: 2014
HHSIZE_1 / HHTOTAL
0 - 20%
20 - 30%
30 - 40%
40 - 50%
Over 50%
27
1 person households: 2040
HHSIZE_1 / HHTOTAL
0 - 20%
20 - 30%
30 - 40%
40 - 50%
Over 50%
28
• With retirement and aging come big changes in
how people spend their day – where they go, what
they do
• For community planners, considerations include:
– recreation, arts and entertainment demand in the
community
– transportation
– emergency services and social services.
– need for life cycle housing options
Aging: Planning considerations
29
Growth in all parts of the region
2010-2040 forecasts from Metropolitan Council (July 2015 update)
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
1970 1980 1990 2000 2010 2020 2030 2040
Rural
Rural Center
Emerging Suburban Edge
Suburban Edge
Suburban
Urban
Urban Center
30
Households Growth, 2010-2040
< 1,000 households
1,001 4,000
4,0018,000
8,00116,000
16,00140,460
• The region will gain
370,000 households
over 30 years
• Expect growth in all
parts of the metro
urban services area
31
Engaging with local governments
• The Council requires local land use plans
be consistent with the Council’s forecasts
– Cities can achieve this consistency by
adjusting land uses, development intensity,
or future development staging
– Also, the Council is receptive to adjusting
local forecasts, as needed
– Our objective: Council and local planners
working from the same numbers
32
Multiple opportunities to adjust
•Local governments were invited to
comment on forecasts in 2015
– 4 cities’ forecasts revised following system
statements comments
•Interim forecast revisions also possible
via plan updates or plan amendments
– 5 cities’ forecasts revised, August–February
– More adjustments likely
33
More information
www.metrocouncil.org/forecasts/
34
Forecasting the next 30 years
of metro development
Ramsey County
March 1, 2016
Todd Graham, Principal Forecaster
Todd.Graham@metc.state.mn.us
35

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forecastRamseyCo

  • 1. Forecasting the next 30 years of metro development Ramsey County March 1, 2016 1
  • 2. Today’s discussion • Why and how Met Council forecasts • What data are considered in the regional and local forecasts • Particularly interaction of land plans, market forces, transportation • A view on the future: Forecast results • Your questions 2
  • 3. Why we forecast • Forecasts provide a reference as the Council and local governments prepare plans “addressing areas and populations to be served, the levels, distribution, and staging of services” (Minn. Stat. 473.146) – Regional systems are scaled and staged to accommodate forecasts – Local plans accommodate the same growth forecasts 3
  • 4. Metropolitan Council How we forecast: models • Models represent real- world questions in a simplified way… – Key components – System interactions – Big-picture view • Allowing freedom to… – Test alternative scenarios 4
  • 5. Forecast models toolkit A regional economic model for region-level employment and population A land use model for allocating future land use, households and employment to the local level Travel demand model 5
  • 6. Employment growth: +32% 2,033,000 0.0 0.5 1.0 1.5 2.0 2.5 1970 1980 1990 2000 2010 2020 2030 2040 Millions Source: 2010 employment counts from Minnesota Department of Employment and Economic Development; 2020-2040 forecasts from Metropolitan Council (July 2015) 6
  • 7. Population growth: +28% 3,652,000 0.0 1.0 2.0 3.0 4.0 1970 1980 1990 2000 2010 2020 2030 2040 Millions Source: 2010 data on population and households from Census Bureau; 2020-2040 forecasts from Metropolitan Council (July 2015) 7
  • 8. Households growth by type 229,000 244,000 238,000 249,000 280,000 292,000 278,000 289,000 418,000 426,000 439,000 462,000 90,000 134,000 193,000 236,000 100,000 162,000 229,000 249,000 2010 2020 2030 2040 Age 65+: 2+ person household Age 65+: 1 person household Under 65: 3+ person household Under 65: 2 person household Under 65: 1 person household Source: 2010 data on population and households from Census Bureau; 2020-2040 forecasts from Metropolitan Council (2015) 8
  • 9. Need for a local land use model Totals from the regional model are allocated to local zones • Complete “loop” of transportation and land use interaction • Local land use model provides distributions of people and jobs to travel demand model • Travel demand model returns future network conditions, accessibility measures Population Households Jobs 9
  • 11. Met Council’s local land use model • Key dynamics and components of real estate market • Where will we add 500,000 jobs and 370,000 households? – Site selection of households and employers: what locations best satisfy preferences, mediated by prices? – Supply of real estate: what locations are viable to developers? 11
  • 12. Local data informs the model Housing by type Housing by type Rent Equivalent Average (Weighted) GISLibrary.DBO.TAZ2000 WRENTSFD Less than 1,400 1,400 to 1,799 1,800 to 2,199 2,200 to 2,599 2,600 to 4,000 Rent for SF home 12
  • 13. Local data informs the model • Base year land supply • Employment levels • Socio-economic characteristics • Housing stock • Building costs, land prices • Average rents • Land consumption rates • Regional systems and services • Planned land use as a constraint • Accessibility, by car and by transit 13
  • 14. Peak hour drive times to State Fair: 2030 • In the future: more people, more jobs • Concurrently, travel times can worsen • Cumulative accessibility can increase or decrease 14
  • 15. Local plans provide the envelope for what development is allowable, possible 15
  • 16. We also consider the urban form today as the starting template for future growth 16
  • 17. Households Growth, 2010-2040 < 1,000 households 1,001 4,000 4,0018,000 8,00116,000 16,00140,460 • The region will gain 370,000 households over 30 years • Expect growth in all parts of the metro urban services area 17
  • 18. Current households + growth 18
  • 19. Growth in Ramsey County to 2040 0 50,000 100,000 150,000 200,000 250,000 300,000 1990 2000 2010 2020 2030 2040 Households Households growth Ramsey St. Paul 0 50,000 100,000 150,000 200,000 250,000 300,000 350,000 400,000 450,000 1990 2000 2010 2020 2030 2040Employment Employment growth 19
  • 20. Some aspects of the local forecasts are surprising – but consistent with larger demographic and market trends • Long-term demand – for both locations and real estate types – will continue changing • Long-term, the fastest growing market segments want central locations, access to destinations, and a mix of housing options 20
  • 21. Households growth: smaller, older 229,000 244,000 238,000 249,000 280,000 292,000 278,000 289,000 418,000 426,000 439,000 462,000 90,000 134,000 193,000 236,000 100,000 162,000 229,000 249,000 2010 2020 2030 2040 Age 65+: 2+ person household Age 65+: 1 person household Under 65: 3+ person household Under 65: 2 person household Under 65: 1 person household Source: 2010 data on population and households from Census Bureau; 2020-2040 forecasts from Metropolitan Council (March 2015) 21
  • 22. The next 370,000 housing units • With this demographic mix, most housing to be added will be multifamily or attached housing • This is an estimate of long-term demand • What developers have supplied or will supply could differ Manufactured housing 1% Single family detached 29% Multifamily and attached 70% 22
  • 23. 65 and over population: 2014 23
  • 24. 65 and over population: 2040 24
  • 25. AGE_65_UP / POPINHH 0 - 10% 10 - 20% 20 - 30% 30 to 40% Over 40% 65 and over population: 2014 25
  • 26. AGE_65_UP / POPINHH 0 - 10% 10 - 20% 20 - 30% 30 to 40% Over 40% 65 and over population: 2040 26
  • 27. 1 person households: 2014 HHSIZE_1 / HHTOTAL 0 - 20% 20 - 30% 30 - 40% 40 - 50% Over 50% 27
  • 28. 1 person households: 2040 HHSIZE_1 / HHTOTAL 0 - 20% 20 - 30% 30 - 40% 40 - 50% Over 50% 28
  • 29. • With retirement and aging come big changes in how people spend their day – where they go, what they do • For community planners, considerations include: – recreation, arts and entertainment demand in the community – transportation – emergency services and social services. – need for life cycle housing options Aging: Planning considerations 29
  • 30. Growth in all parts of the region 2010-2040 forecasts from Metropolitan Council (July 2015 update) 0 200,000 400,000 600,000 800,000 1,000,000 1,200,000 1,400,000 1970 1980 1990 2000 2010 2020 2030 2040 Rural Rural Center Emerging Suburban Edge Suburban Edge Suburban Urban Urban Center 30
  • 31. Households Growth, 2010-2040 < 1,000 households 1,001 4,000 4,0018,000 8,00116,000 16,00140,460 • The region will gain 370,000 households over 30 years • Expect growth in all parts of the metro urban services area 31
  • 32. Engaging with local governments • The Council requires local land use plans be consistent with the Council’s forecasts – Cities can achieve this consistency by adjusting land uses, development intensity, or future development staging – Also, the Council is receptive to adjusting local forecasts, as needed – Our objective: Council and local planners working from the same numbers 32
  • 33. Multiple opportunities to adjust •Local governments were invited to comment on forecasts in 2015 – 4 cities’ forecasts revised following system statements comments •Interim forecast revisions also possible via plan updates or plan amendments – 5 cities’ forecasts revised, August–February – More adjustments likely 33
  • 35. Forecasting the next 30 years of metro development Ramsey County March 1, 2016 Todd Graham, Principal Forecaster Todd.Graham@metc.state.mn.us 35