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CASE STUDIES
Local place case study - Kendal
Changing demographic geography of Kendal through time
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Created by
Bethany Pringle
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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