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The Use of Demographic Scenarios in
Cross-authority Plan-making
Graham GardnerNottingham City Council
Steve BufferyDerbyshire County Council
Richard CooperNottinghamshire County Council (formerly)
• Planning Policy Context
• Collaborative Working in Derbyshire and Nottinghamshire
• Growth scenarios used in the projections
• Using the scenarios – Greater Nottingham
• Conclusions & questions
Outline
Where do we go from here?!
Before, with a Regional Plan
Regional Plan
Three CitiesSub-regional Strategy
Northern Sub-Regional
Strategy…etc…
Greater Nottingham HMA
Derby HMA Leicestershire HMA
City & district LDFs / local plans
After – with Localism
Northern (officer)liaison group ?
Greater Nottingham HMA Aligned work
Derby HMA grouping Leicestershire ?
City & district LDFs / local plans
NPPF
?
After – with Localism
Northern (officer)liaison group ?
Greater Nottingham HMA Aligned work
Derby HMA grouping Leicestershire ?
City & district LDFs / local plans
NPPF
?
Derby, Derbyshire, Nottingham,
Nottinghamshire
NNDD Housing Market Areas
Northern (part of Sheffield HMA)
Nottingham “Core”, including Erewash (Derbyshire)
• Funding from East Midlands Councils (formerly EMRA)
• Steering group – 4 Upper tier & two district representatives
• Six key scenarios commissioned from Edge Analytics
• Scenarios were discussed and agreed with all the authorities in both Counties.
• Derbyshire were current users of Popgroup – would carry on as ‘bureau’: costings on a per ‘run’ basis.
Commissioning the Projections
• Officers Trained on demographics, modelling & principles
• Members informed & educated on scenarios & outcomes
• Understanding dynamics and outcomes – ‘what if’.
• No “Right Answer”
• Planning decisions on housing in the Local Plan process
Educating users
The use of scenarios
• A selection of possibilities to inform plan-making
• Not to determine a “right” housing provision figure
• However – NPPF requires an “Objectively Assessed Housing Need” – Inspectors focussed on this.
• Dwelling–led Scenario - Past house-building
• Natural Change Scenario – Births & deaths; no migration
• Net Nil-Migration Scenario - Balanced in- & out-migration
• Long-Term Migration Scenario – Past migration levels
• Employment-led Scenario – Based on “jobs”
• SNPP Scenario - 2008-based ONS Projections.
The Growth Scenarios
Greater Nottingham Scenarios - Housing numbers (17-year)
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
AlignedCore
Strategies(RSS)
CLGProjections
NaturalChange
BalancedMigration
Long TermMigration
No Increasein Jobs
Past HouseBuilding
Rates
New
Ho
mes
Nottingham and Broxtowe projections compared
– Population
• NOTTINGHAM CITY • BROXTOWE
100,000
105,000
110,000
115,000
120,000
125,000
130,000
135,000
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031
Forecast age group: Total
YEAR
250,000
270,000
290,000
310,000
330,000
350,000
370,000
390,000
410,000
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031
Forecast age group: Total
YEAR
Challenges and Use of Projections - Greater Nottingham
• Strategy aimed for in-migration – Projections showed this to be so.
• Jobs / population mapped– Inter-dependence of the City & surrounding area.
• Planned housing ► Commuting ►
Distribution of jobs ► Land availability ►
Employment land
PAS response – “Not planning for growth” – – Employment related to labour force
Jobs Growth versus Workforce
340,000
350,000
360,000
370,000
380,000
390,000
400,000 20
03
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
Greater Nottingham: Comparison of jobs / workforce trajectories
NCRELS Off ice Jobs NCRELS All jobs
NCRELS All jobs Forecast labour force (1)
A/c students & econ activity improvement @1%
18,00023,650
Alternative headship rate trajectories
• Actual households falling behind projection.
• Imply larger households
• Economic conditions • Slow housing market• Higher student numbers (larger households) • International migrants with higher household occupancy rates?
• Used 2010 as base to carry household growth forward on 3 different trends. NB Edge did this work.
• Three authorities showed effects – household representation rates adjusted.
Alternative Household Growth
Latest Household Projections
• CLG 2011 interim household projections have confirmed the household rate work.
• But population aspect of new projections is more doubtful.
Working together
Some Conclusions / Lessons
• Commuting & Jobs
• Officer support & confidence-building.
• District Councillor responsibility
• Useful to show implications of decisions
• Member attitudes can still rule
• Always need to deal with interactions across boundaries
Questions raised
• How do we model for growing employment? – when tried it did not give reasonable outcomes
• How do we persuade people to use instead of ONS for resource planning?
• How do you demonstrate ‘Objectively Assessed Housing Need’ to an Inspector?
• Have we got international migration right?
Links
• GN documentation & examination – – www.gngrowthpoint.com
• Mansfield - Google – “Mansfield how many dwellings?”
• Ashfield – Google –“Population Household Forecasts Ashfield”