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Demographic and Deprivation Change in Buckinghamshire

Demographic and Deprivation Change in Buckinghamshire. Marcus Grupp Holly Pedrick Policy, Performance and Communications. Purpose. To provide an update as to the changes underway in the Bucks population To consider how the information can be used to shape services.

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Demographic and Deprivation Change in Buckinghamshire

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  1. Demographic and Deprivation Change in Buckinghamshire Marcus Grupp Holly Pedrick Policy, Performance and Communications

  2. Purpose • To provide an update as to the changes underway in the Bucks population • To consider how the information can be used to shape services

  3. Drivers of population change: births Total Fertility Rate (TFR) TFR • TFR increasing – 2.1 children per woman (England similar) • Increases FR for all women key child bearing age (not under 20s and 40+) • Rising births – 11% higher since 2001 (+600 yr)

  4. Drivers of population change: births - deaths • Births - constant TFR (2.10) = 500 extra births annually • Deaths - constant 4k per year • Natural increase in population due to more births than deaths Natural population change

  5. Drivers of population change: age structure of population 19,838 more people (33%) More pensioner houses 4,519 less people (-1%) Less families 8,031 less young people (-6%) Less young people Modelled births (could be 5k higher with 2.1 TFR)

  6. Drivers of population change: housing • Household size = falling • 2.47 people per house (2011) to 2.32 (2026) • 2.32 causes current population (510k) to fall by 21k (4%), but • 15k new builds allocated creates a net rise 4k people (514k) by 2026 • Uncertainty in AVDC - 15k homes to keep workforce constant (2006-2031) • extra 4,500 to 13,500 homes not currently allocated (AVDC) • Number of houses affects net migration ...

  7. Drivers of population change: migration Net Migration • Lots movement in population (6% of Bucks population) • UK migration – 27k move in / 26k leave • Overseas migration – 3.9k move in / 3.7k leave

  8. What does this mean for Bucks… • Small population increase - 1.2% • aging population • ‘low’ number of new builds • Uncertainty around CYP numbers • 9k less 0-15’s (1.9 TFR) • No change 0-15’s (2.1 TFR) • Housing • 15,000 less working age • More allocations by AVDC? % change - 2011 to 2026 Clear aging population Uncertainty due to TFRs and houses builds *

  9. Locality differences Population Changes • Increasing populations: • Urban • stable births and deaths • net in-migration increase • house builds 2.5 x higher • Decreasing populations: • rural • aging population, more deaths • falling births • Lowest rate of house builds 2011 to 2026 -12% to -7% Get rid of decimals on legend 3% to 7%

  10. Deprivation Issues and People at Risk • 9% of children live in families in receipt of out of work benefits (9.4k) • More families experience income deprivation in areas classified as deprived by IMD • 6% of children receive free school meals (4.4k) • Worse educational outcomes for these pupils • Overall educational attainment is 65% • Most affluent ACORN groups 2.5x higher than least affluent groups • Higher proportion of BME population in deprived areas • Worse education outcomes overall (Early years and KS1, 2 and 4) and youth offending

  11. Deprivation Issues and People at Risk • 7.4% of babies born were classed as low birth weight (national average 7.6%) • Higher percentage of babies with low birth weight in IMD most deprived areas • Increasing birth rate • Birth rate twice as high among the IMD most deprived areas than least deprived areas • People who are affluent are less likely to become deprived • Current HP / MM areas previously classed as HP, MM, SS/PP, SF and UP • 356 Looked After Children (LAC) in Bucks (2010) • LAC 2x higher in IMD deprived LLSOA’s (0.62% v’s 0.31% of under 18s) • 60% LAC from Moderate Means / Hard Pressed areas (4x ave. MM, 7x HP ) • 45% of children have experienced bullying • Pupils from Hard Pressed and Urban Prosperity (town) areas are most affected • 90 young women referred to ‘RU Safe’ (2009-2010) • Higher risk of sexual exploitation for those who go missing frequently or live in care

  12. Index of Multiple Deprivation (2010) High Wycombe Aylesbury • Seven IMD Domains • Income Deprivation • Employment Deprivation • Health Deprivation and Disability • Education, Skills and Training Deprivation • Barriers to Housing and Services • Crime • Living Environment Deprivation

  13. Number of people at risk • Multiple issues are experienced by those most in need • Large number people affected and getting worse - 4% population IMD No. of 30% most deprived areas (English scale) 5,000 children aged 0-15

  14. Hard Pressed and Moderate Means • ACORN Variables • Age quartiles • Ethnicity • Type of employment • Level of qualifications • Socio economic classification • Commute method • Type of residential dwelling • Number of cars per household • Property owner or renter • Rooms and population per household

  15. Hard Pressed and Moderate Means • Only half of those affected are in Aylesbury & Wycombe Isolated not shown on map

  16. Hard Pressed and Moderate Means • Only half of those affected are in Aylesbury & Wycombe • Over 1/3rd in Market Towns Isolated not shown on map

  17. Hard Pressed and Moderate Means • Only half of those affected are in Aylesbury & Wycombe • Over 1/3rd in Market Towns • 1 in 10 in rural / isolated Isolated not shown on map

  18. Number of households at risk ACORN Moderate Means / Hard Pressed Households 15.7k households are MM / HP families • Change (2008-2011) • +29% Hard Pressed • -8% Moderate Means • + 12% Both groups

  19. Key Issues • Recent unpredicted rise in TFR – more children • Falling household size – uncertainty of new house builds in AVDC • Reduction in population aged 0 – 15, but if new TFR remains constant then there will be no overall change • Children and families in areas at risk of deprivation are at a greater risk of experiencing certain issues e.g. LAC • Large number of children and families living in areas where people experience a range of deprivation issues • Around half of all areas at risk of deprivation are not in the urban areas in Bucks • How can this information be used to better shape services?

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