Changing demographic geography of Kendal through time

Cards (12)

  • Kendal's changing population:
    • S kendal more urban-rural migration
    • spatial variations
    • was an ageing population structure but now more young families
    • migration
    • health, education, employment, wealth, deprivation
  • Kendal's population is:
    • Stable and slowly growing
    • ageing quickly > affects % of under 16s
    • Losing 20-30 year olds
    • Not ethically diverse but increasing
    • Generally affluent and healthy
    • attractive area to live for retired people and those seeking access to open countryside looking for an active lifestyle
    • socio-economically diverse
  • Quantitative data > Cumbria Intelligence Observatory uses UK census data from 2021 > age structure:
    • 51% girls, 49% males, same for rest of UK
    • 55-59 yr = 7.6% of pop
    • compared to rest of UK which is 55-59 yr = 6.7% > higher than eng average in Kendal
  • Census > Economic activity:
    • econ active = 59%
    • ^ rest of UK = 58%
    • Kendal higher > more young working than elderly retired
  • Census > occupation:
    • K = 16% professional, Eng = 20%
    • K = 13% skilled trades, Eng = 10%
    • K = 7% process, plants, machine, Eng = 6.9%
    • Very diverse in K, spread across job sectors
    • Less professionals in K then Eng > location? > more skilled who work in agri in K
  • Census > Deprivation > IMD:
    • K = 10% of households in fuel poverty - low income/ low energy efficiency, Eng = 13% > lower than av > more econ active
    • K = 3% econ inactive, Eng = 4% > less in K
  • Census > ethnicity:
    • K = 87% white, Eng = 81%
    • K = 1% Asian, Eng = 9%
    • much less diverse in K
  • Census > self-reported health:
    • K = 48% vv good, Eng = 48% > the same
    • K = 35% good, Eng = 33%
    • K = 13% fair, Eng = 12%
    • K = 4% bad, Eng = 4%
    • K - 1% vv bad, Eng = 1.2%
    • Subjective > based on perspective
  • Census > ownership/ tenancy of housing (tenure):
    • K = 41% owns outright, Eng = 32% > more ppl own in K but less than half can acc afford to live here
    • K = 13% socially rented, Eng = 17%
    • K = 16% private rent, Eng = 20%
  • Census > household size and rooms:
    • K = 34% 1 person, Eng = 30% > smaller household sizes
    • K = 36% 2 person, Eng = 34% > 2 ppl highest for both
    • K = 14% 3 person, Eng = 16%
    • K = 11% 4 person, Eng = 12%
  • Advantages of the census:
    • Data is open source so can be used by everyone 
    • Very large sample so statistically reliable > genralise
    • All variables can be compared across space 
    • Some variables can be compared across time
  • Disadvantages of the census:
    • Different questions are asked every decade so not everything can be compared across time 
    • People complete the survey about themselves so much of the data is self-identified, this can be misleading when it comes to data on health 
    • Completing the survey requires reading and writing skills 
    • Some people do not fill it out