Post on 25-Apr-2020
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Changing Patterns of Inequality in the UK
LSE Works: Centre for Analysis of Social Exclusion (CASE) public lecture
Bharat Mehta Chair, Chief Executive, Trust for London
Professor John Hills Professor, Social Policy Director, Centre for Analysis of Social Exclusion (CASE), LSE
Dr Polly Vizard Senior Research Fellow, Centre for Analysis of Social Exclusion (CASE), LSE
Falling Behind, Getting Ahead: The changing structure of
inequality in the UK, 2007-13
John Hills, Jack Cunliffe, Polina Obolenskaya and Eleni
Karagiannaki
LSE Works Seminar 12 March 2015
Inequality 2007-2013 • Update of An Anatomy of Economic Inequality in the UK,
(2010 report of the National Equality Panel) • Changes 2007-2010-2013 for:
– qualifications – employment – hourly wages and – weekly earnings, using LFS; – individual incomes to 2009/10-2011/12; – equivalent net income to 2012/13; – wealth to 2010-12.
• Breakdowns by – gender, – age, – ethnicity, – tenure, – region and – disability status.
• For data: click the chart! Or www.casedata.org.uk
Background: Overall changes in key indicators
• Qualifications up: 25% men and 27% of women of working age with a degree/higher degree by 2013.
• Employment fell 2.3%-points, 2007-2010, then rose 1.2% points by 2013.
• Unemployment rose from 4.1% to 6.0%, then fell to 5.7% by 2013. • Median hourly wages fell 2.8% 2006-08 to 2010 and fell further 3.1%
to 2013. – 90:10 ratio rose by 0.11 to 3.97 (in Labour Force Survey).
• Median FT weekly earnings fell by 8% overall (but by 10% at bottom) • Median BHC net incomes fell 5% 2007/08-2012/13, rose by 1% at
bottom) – price-protected benefits protected bottom • Median AHC net incomes fell 9% over same period, and fell by 6% at
bottom • Median non-pension wealth barely changed (nominal terms), 2006-08
to 2010-12, but grew by 8% at 90th percentile - £38,000 – and by 7% at 10th percentile – but that was only £500.
Gender differences
• Women now better qualified • Men were
– worst hit in employment 2007-2010, but – gained more in the recovery up to 2013
• The gender pay gap is ambiguous – a narrower gap in average (mean) hourly pay for all employees
and for median full-time pay (slightly), but – a wider gap in mid point (median) pay for all employees
• Women’s incomes fell less up to 2012-13, – (as more single women were protected by price-linked benefits
and pensions)
PAY: Low-paid men and women lose most in real hourly pay
Source: Labour Force Survey
-7.00
-6.62 -5.89
-5.22
-3.67
-10
-8
-6
-4
-2
0
2
10th 30th Median 70th 90th
(a) Men, full-time
2006-08 to 2010 2010 to 20132006-08 to 2013
-8.56 -7.07
-5.73 -5.26 -5.49
-10
-8
-6
-4
-2
0
2
10th 30th Median 70th 90th
(b) Women, full-time
2006-08 to 2010 2010 to 20132006-08 to 2013
INCOME: Poorest men lose most Changes in AHC income by gender, 2007/8-2012/3 (%)
Source: CASE/DWP analysis of HBAI dataset
-12.2%
-10.2% -10.2% -9.6%
-9.0%
-4.3%
-6.4%
-7.8% -8.1% -9.1%
-14.0%
-12.0%
-10.0%
-8.0%
-6.0%
-4.0%
-2.0%
0.0%
AHC10 AHC30 AHC50 AHC70 AHC90 AHC10 AHC30 AHC50 AHC70 AHC90
Males Female200708 to 201011 201011 to 201213 200708 to 201213
Differences by ethnicity
• White adults: – had a slower increase in qualifications – smaller proportion now with degrees (except for Bangladeshi
adults) – But White men had amongst smallest increases in
unemployment – And net incomes of White households remain highest before and
after housing costs • Indian and Chinese households
– now have the highest non-pension wealth • Bangladeshi and Pakistani adults
- Are the lowest paid for men - But non-pension wealth was £129,000 for Pakistani households
compared to only £21,000 for Bangladeshi households
Highest qualifications by ethnicity, 2013 (%)
Source: Labour Force Survey
0 20 40 60 80 100
Bangladeshi
White
Pakistani
Mixed/Multiple ethnic groups
Black/African/Caribbean/Black…
Any other Asian background
Other ethnic group
Indian
Chinese
Higher degree Degree Higher Education
GCE A Level or equiv GCSE grades A-C or equiv Level 1 or below
No qualification Don't know
Highest qualifications by ethnicity, 2013 (%)
Source: Labour Force Survey
0 20 40 60 80 100
Bangladeshi
White
Pakistani
Mixed/Multiple ethnic groups
Black/African/Caribbean/Black…
Any other Asian background
Other ethnic group
Indian
Chinese
Higher degree Degree Higher Education
GCE A Level or equiv GCSE grades A-C or equiv Level 1 or below
No qualification Don't know
Widening differences by Housing tenure
• Social tenants – lower qualifications (gap grown) – Lower employment (gap grown) – Men’s earnings (median FT) fell 11% and 9% for women’s
compared to 6-7% or less for other tenures.
• Male social tenants – Unemployment rose twice as much as for owner-occupiers and
private tenants.
• Middle- and high-income private tenants – Incomes (AHC) fell fastest up to 2012/13
• Wealth differences widened,
– Outright owners £307,000 (non pension wealth) – Social and private tenants less than £20,000
Fewer than half of social tenants in paid work Employment status by tenure, 2013 (%)
Source: Labour Force Survey
0 10 20 30 40 50 60 70 80 90 100
Social Housing
Owned outright
Individual privatelandlord
Other
Being bought withmortgage or loan
Employed, FT Employed,PT
Employed not known time
Self Employed Unemployed Inactive (student)
Inactive (family/home) Inactive (disabled) Inactive (retired)
Inactive (other)
Fewer than half of social tenants in paid work Employment status by tenure, 2013 (%)
Source: Labour Force Survey
0 10 20 30 40 50 60 70 80 90 100
Social Housing
Owned outright
Individual privatelandlord
Other
Being bought withmortgage or loan
Employed, FT Employed,PT
Employed not known time
Self Employed Unemployed Inactive (student)
Inactive (family/home) Inactive (disabled) Inactive (retired)
Inactive (other)
Private tenants lost most income Change in median AHC income by tenure, 2007/8-2012/3 (%)
Source: CASE/DWP analysis of HBAI dataset
-9.7%
-2.3% -5.2% -6.7%
-9.2%
-2.2% -6.3%
-13.0% -16.2%
-18.7%
-1.8%
-5.2% -5.7%
-6.4% -10.1%
0.2% -3.4%
-4.8% -4.3%
-3.7%
-25%
-20%
-15%
-10%
-5%
0%
5%
10%
AH
C10
AH
C30
AH
C50
AH
C70
AH
C90
BH
C10
BH
C30
BH
C50
BH
C70
BH
C90
BH
C10
BH
C30
BH
C50
BH
C70
BH
C90
BH
C10
BH
C30
BH
C50
BH
C70
BH
C90
Rented fromCouncil/Housing
Association
Rented privately Owned outright Owned with mortgage
200708 to 201011 201011 to 201213 200708 to 201213
Private tenants lost most income Change in median AHC income by tenure, 2007/8-2012/3 (%)
Source: CASE/DWP analysis of HBAI dataset
-9.7%
-2.3% -5.2% -6.7%
-9.2%
-2.2% -6.3%
-13.0% -16.2%
-18.7%
-1.8%
-5.2% -5.7%
-6.4% -10.1%
0.2% -3.4%
-4.8% -4.3%
-3.7%
-25%
-20%
-15%
-10%
-5%
0%
5%
10%
AH
C10
AH
C30
AH
C50
AH
C70
AH
C90
BH
C10
BH
C30
BH
C50
BH
C70
BH
C90
BH
C10
BH
C30
BH
C50
BH
C70
BH
C90
BH
C10
BH
C30
BH
C50
BH
C70
BH
C90
Rented fromCouncil/Housing
Association
Rented privately Owned outright Owned with mortgage
200708 to 201011 201011 to 201213 200708 to 201213
Differences by age group
• 20s and 30s better-qualified than any previous generation.
• But their – employment fell faster, – wages fell faster, incomes fell faster and – wealth fell………while it grew for older households.
• Even better-off young people were affected
Big hourly pay hits for 20s and 30s (also teens) Changes in median full-time hourly pay by age, 2006-08 to 2013 (%)
Source: Labour Force Survey, FT employees only
-18.3
-9.9 -13.6
-11.7
-6.1 -4.4 -6.2 -4.3
-0.1 0.3
7.2
15.1
-20.9
-12.7 -15.5
-6.3 -3.1 -1.7 -0.9
-6.6 -2.8 -4.6
9.3
-25
-20
-15
-10
-5
0
5
10
15
20
16-1
920
-24
25-2
930
-34
35-3
940
-44
45-4
950
-54
55-5
960
-64
65-6
970
+16
-19
20-2
425
-29
30-3
435
-39
40-4
445
-49
50-5
455
-59
60-6
465
-69
MEN WOMEN
Big hourly pay hits for 20s and 30s (also teens) Changes in median full-time hourly pay by age, 2006-08 to 2013 (%)
Source: Labour Force Survey, FT employees only
-18.3
-9.9 -13.6
-11.7
-6.1 -4.4 -6.2 -4.3
-0.1 0.3
7.2
15.1
-20.9
-12.7 -15.5
-6.3 -3.1 -1.7 -0.9
-6.6 -2.8 -4.6
9.3
-25
-20
-15
-10
-5
0
5
10
15
20
16-1
920
-24
25-2
930
-34
35-3
940
-44
45-4
950
-54
55-5
960
-64
65-6
970
+16
-19
20-2
425
-29
30-3
435
-39
40-4
445
-49
50-5
455
-59
60-6
465
-69
MEN WOMEN
….and big drops in weekly earnings Changes in median weekly full-time earnings by age, 2006-08 to 2013 (%)
Source: Labour Force Survey, FT employees only
-20.5
-11.0
-15.3 -13.0
-7.9 -6.5 -6.4
-5.1
-0.7 -1.3
3.6
18.2
-19.7
-12.3
-15.5
-7.8
-2.4 -3.0
1.7
-6.4 -4.4 -3.8
2.2
-25
-20
-15
-10
-5
0
5
10
15
20
16-1
9
20-2
4
25-2
9
30-3
4
35-3
9
40-4
4
45-4
9
50-5
4
55-5
9
60-6
4
65-6
9
70+
16-1
9
20-2
4
25-2
9
30-3
4
35-3
9
40-4
4
45-4
9
50-5
4
55-5
9
60-6
4
65-6
9
70+
MEN WOMEN
2006-08 to 2010 2010-2013 2006-08 to 2013
….and big drops in weekly earnings Changes in median weekly full-time earnings by age, 2006-08 to 2013 (%)
Source: Labour Force Survey, FT employees only
-20.5
-11.0
-15.3 -13.0
-7.9 -6.5 -6.4
-5.1
-0.7 -1.3
3.6
18.2
-19.7
-12.3
-15.5
-7.8
-2.4 -3.0
1.7
-6.4 -4.4 -3.8
2.2
-25
-20
-15
-10
-5
0
5
10
15
20
16-1
9
20-2
4
25-2
9
30-3
4
35-3
9
40-4
4
45-4
9
50-5
4
55-5
9
60-6
4
65-6
9
70+
16-1
9
20-2
4
25-2
9
30-3
4
35-3
9
40-4
4
45-4
9
50-5
4
55-5
9
60-6
4
65-6
9
70+
MEN WOMEN
2006-08 to 2010 2010-2013 2006-08 to 2013
Worse income drops after housing costs Change in median income after housing costs by age, 2007/8-2012/3 (%)
Source: CASE/DWP analysis of HBAI dataset
-7.9% -6.5%
-4.6%
-15.1%
-19.7% -17.9%
-7.3% -7.6%
-10.9% -11.9% -12.7%
-6.4%
-1.6%
2.6%
-0.2%
-2.5% -2.8%
-25%
-20%
-15%
-10%
-5%
0%
5%
Worse income drops after housing costs Change in median income after housing costs by age, 2007/8-2012/3 (%)
Source: CASE/DWP analysis of HBAI dataset
-7.9% -6.5%
-4.6%
-15.1%
-19.7% -17.9%
-7.3% -7.6%
-10.9% -11.9% -12.7%
-6.4%
-1.6%
2.6%
-0.2%
-2.5% -2.8%
-25%
-20%
-15%
-10%
-5%
0%
5%
Younger people lost wealth – while older people (over 64) gained it
% change in median household non-pension wealth by age group, 2006-08 to 2010-12
-31.7%
-10.1%
-16.9%
-8.8% -5.0%
8.9% 12.5%
15.4%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
16-24 25-34 35-44 45-54 55-64 65-74 75-84 85+
Source: CASE/ONS analysis of Wealth and Assets Survey
Age
How much did they gain or lose? And how much do they have? (£000s, nominal)
Absolute changes in median non-pension wealth, 2006-08 to 2010-12, and wealth levels in 2010-12 by age
16-24 25-34 35-44 45-54 55-64 65-74 75-84 85+ Absolute changes 2006-08 to 2010-12 -3.8 -4.8 -20.6 -16.3 -12.2 19.0 23.1 24.0
Level of non-pension wealth in 2010-12 Median 8.2 42.8 101.5 169.3 232.8 233.5 207.2 180.0 90:10 ratio Na1 61 57 55 48 43 34 32
Source: ONS/CASE analysis of Wealth and Assets Survey. Note: 1. Tenth percentile wealth is minus £6,200 and ninetieth percentile is £61,400
How much did they gain or lose? And how much do they have? (£000s, nominal)
Absolute changes in median non-pension wealth, 2006-08 to 2010-12, and wealth levels in 2010-12 by age
16-24 25-34 35-44 45-54 55-64 65-74 75-84 85+ Absolute changes 2006-08 to 2010-12 -3.8 -4.8 -20.6 -16.3 -12.2 19.0 23.1 24.0
Level of non-pension wealth in 2010-12 Median 8.2 42.8 101.5 169.3 232.8 233.5 207.2 180.0 90:10 ratio Na1 61 57 55 48 43 34 32
Source: ONS/CASE analysis of Wealth and Assets Survey. Note: 1. Tenth percentile wealth is minus £6,200 and ninetieth percentile is £61,400
Conclusions
• The legacy of the crisis has not fallen evenly – far from it • Men were hit harder in the labour market initially than women,
but women lost more after 2010. Women’s net incomes fell less in percentage terms up to 2012-13, as more were receiving benefits and pensions.
• Social tenants fared worst in the labour market, but private tenants had the biggest income drop after allowing for rising rents.
• White adults are now much less well-qualified than other groups but retained their advantage in jobs, pay and incomes. But Indian and Chinese households have higher wealth.
• But striking feature is declining position of young adults compared to predecessors at same age and older adults – with the intergenerational wealth gap wider than ever, making where parents and grandparents are in their (unequal) wealth distributions.
Polly Vizard, Eleni Karagiannaki, Jack Cunliffe, Amanda Fitzgerald, Polina Obolenskaya, Stephanie Thompson, Chris Grollman
and Ruth Lupton
The changing anatomy of economic inequality in London
2007 - 2013
Widespread assumption: London “different” from the rest of the country – story of divergence / London high rates of growth in the 2000s / London more resilient in recession period / with London increasingly “moving away” from the rest
BUT the capital’s economic success and resilience in recession did not translate into lower inequality for Londoners
Economic outcomes for some of the poorest, lowest paid and disadvantaged Londoners deteriorated substantially in the wake of the economic crisis and subsequent downturn
Meanwhile:
Wealth at the top of the distribution increased substantially
Inequality – already higher in London in 2007, further increased against
some indicators
Overall we found that …
Six Main Findings
1.The poorest Londoners and some disadvantaged groups
were hard hit in the aftermath of crisis and downturn
Percentage change in net weekly equivalised household income after housing costs, London & rest of the UK, 2007/08-2012/13, by percentile point
-19%
-11% -10%
-6%
-8%
-20%
-18%
-16%
-14%
-12%
-10%
-8%
-6%
-4%
-2%
0%
10th percentile 30th percentile Median 70th percentile 90th percentile
London Rest of UK
Income after housing costs at the 10th percentile fell by 19% in London - a bigger fall than at other points in the distribution, and a bigger fall at the 10th percentile than elsewhere in the country
Source: DWP/CASE analysis of HBAI
Private renters at the 10th percentile were left with only £39 of income after housing costs
£108 £120
£83
£110 £100
£39
£0
£50
£100
£150
£200
£250
Rented fromCouncil/HA
Rentedprivately
Ownedoutright
Owned withmortgage
Rented fromCouncil/HA
Rentedprivately
Ownedoutright
Owned withmortgage
Rest of UK London
Weekly net equivalised income after housing costs, at the 10th percentile, London and the rest of the UK, 2007/08 and 2012/13, by
housing status
2007/08 2012/13
Decreased by £44,
53%
Source: DWP/CASE analysis of HBAI
For disabled people, the fall in weekly income after housing costs at the 10th percentile in London was more marked
than in rest of the UK*
£139 £141 £117
£100
£0£20£40£60£80
£100£120£140£160£180£200
No LLID LLID No LLID LLID
Rest of UK London
Weekly new equivalised income after housing costs, 10th percentile, by disability status, London & rest of the UK, 2007/08-2012/13
2007/08 2012/13
Decreased by £41, 29%
* discontinuity, interpret with caution
Source: DWP/CASE analysis of HBAI
2. Unemployment, which was already at a higher base in 2007/8, further increased in London and affected some population groups more than others
Percentage of the working age population classified as unemployed, London and the rest of England, 2007/8 and 2012/13
2007/8 2012/13 Change (Percentage point)
Overall All 5.1 7.0 1.9
Age 16-24 10.0 13.5 3.5
25-30 4.6 7.5 2.9
Disability status* DDA disabled and work-limiting disabled 5.8 8.9 3.1
Ethnicity White British 3.7 5.4 1.8
White and Black Caribbean 10.4 15.3 4.9
White and Black African 10.5 11.2 0.8
Pakistani 7.0 12.2 5.2
Bangladeshi 11.4 11.5 0.2
Black Caribbean 11.5 13.3 1.7
Black African 9.4 13.4 4.0
Other Black 11.3 13.3 1.9
Religion / belief Muslim 9.0 10.0 0.9 Source: CASE analysis of APS/LFS *discontinuity, interpret with caution
3. The increase in part-time work and self-employment was particularly pronounced in London
The increases in part-time employment in London were notable in lower skilled jobs
-5.0 -8.8
6.4 5.9
-10-8-6-4-202468
London Rest of England
Change in employment status 2007/08 to 2012/13, by socioeconomic group – London & rest of England (percentage points, significant changes only)
... And amongst disabled people*, especially women
4.6
-2.0
-1.0
0.0
1.0
2.0
3.0
4.0
5.0
No LLID LLID No LLID LLID No LLID LLID
Full-time Part-time Self-employed
Change in employment status 2007/08 to 2012/13, women, by disability status, London and the rest of England) - percentage points, significant changes only
London Rest of England
Source: CASE analysis of APS/LFS *discontinuity, interpret with caution
Part-time employment amongst Pakistani and Bangladeshi women also increased in London ....
5.2 5.4
-10.0
-8.0
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
8.0
Whi
te B
ritish
Oth
er W
hite
Mix
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c gr
oups
Indi
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Bang
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Chin
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Oth
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back
grou
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Afric
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arib
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/Brit
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Whi
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Oth
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Mix
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Indi
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Bang
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Chin
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Oth
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Afric
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/Brit
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Whi
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Oth
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Indi
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Full-time Part-time Self-employed
London Rest of England
Change in employment status by ethnicity, 2007/08 to 2012/13, women, London & rest of the country (percentage points, significant changes only)
4. Weekly earnings and hourly wages fell considerably in London (as in the rest of the country)
Changes in median earnings, wages and incomes in London & rest of England, 2007/08 to 2012/13
-4% -3%
-7% -7% -7% -5% -5% -5%
-14%
-12%
-10%
-8%
-6%
-4%
-2%
0%
Median FTearnings
Median FTwages
Median PTearnings
Median PTwages
Median incomebefore housing
costs*
Median incomeafter housing
costs*
London Rest of England* Rest of UK
At the median, the falls in part time weekly earnings and part time hourly wages were more marked in London than the rest of the
country
Source: CASE analysis of APS/LFS
-17% -20-18-16-14-12-10
-8-6-4-202
Overall Men Women Overall Men Women
10th percentile 90th percentile
Change in weekly part-time earnings at the 10th and 90th percentiles, 2007/08 to 2012/13, overall and by gender – London &
rest of England (percentages)
London Rest of England
At the 10th percentile, men experienced a 17% fall in part-time earnings
Source: CASE analysis of APS/LFS
Proportion earning less than London Living Wage increased substantially
Percentage of employees in London with gross hourly wages less than London Living Wage thresholds 2007/08 2012/13
Change (Percentage
point)
Overall All 18.5 22.5 4.0
Gender Men 15.9 18.1 2.2
Women 21.3 27.2 5.9
Age 16-24 46.7 50.0 3.3
Ethnicity
White British 13.8 16.9 3.2
Indian 24.6 25.9 1.3
Pakistani 33.7 43.8 10.1
Bangladeshi 33.1 47.1 14.1
Black/ African/Caribbean/Black British 24.8 30.7 5.9
Disability* DDA disabled and work-limiting disabled 28.2 32.4 4.1
Religion Muslim 34.3 43.6 9.3
Area Outer London 20.1 24.6 4.6
FT / PT Part-time 44.2 49.7 5.5 Source: CASE analysis of APS/LFS *discontinuity, interpret with caution
5. Wealth
Meanwhile there were colossal increases in absolute (nominal) wealth amongst the top 10% in London
Changes in nominal wealth at the 90th percentile, 2006/08 to 2010/12, London & rest of Great Britain
£192,100 £246,500
£597,100
£749,900
£889,000
£1,088,900
£175,900 £193,000
£479,300 £507,000
£774,700
£895,300
£0
£200,000
£400,000
£600,000
£800,000
£1,000,000
£1,200,000
06/08 10/12 06/08 10/12 06/08 10/12
Financial & physical wealth + property + pension
£ level, nominal
£152,800 (26%)
£199,900 (22%)
£54,400 (28%)
Source: CASE / ONS analysis of WAS
Absolute changes at the 10th percentile were tiny by comparison (£1400 in London)
£3,100
£597,100
£4,500
£749,900
£7,700
£479,300
£8,800
£507,000
£0
£100,000
£200,000
£300,000
£400,000
£500,000
£600,000
£700,000
£800,000
10th % Median 90th % 10th % Median 90th %
2006/08 2010/12
Wealth (financial, physical and property), 10th, 50th and 90th percentile, 2006/08 -2010/12, London & Rest of Great Britain (£ nominal)
London Rest of Great Britain
10th percentile: £1,400 (45%) increase
90th percentile: £152,800 (26%) increase
£27,700 (6%) increase
£1,100 (14%) increase
Source: CASE / ONS analysis of WAS
6. Inequality was greater in London than the rest of the country - and further increased against some indicators
Summary of 90:10 ratios in London and the rest of the country (2007/8- 2012/13 )
Notes: * Wealth time points are 2006/08 and 2010/12. Wealth measure covers financial, physical and property wealth. FT = full-time; PT = part-time; AHC = after housing costs. Not London = Rest of England for earnings and wages, rest of Great Britain for wealth, rest of UK for income.
Full-time Weekly earnings
Part-time Weekly earnings
Full-time Hourly wages
Part-time Hourly wages
Wealth*
Income before
housing costs
Income after
housing costs
90:10 ratios in 2007/08
London 4.3 7.3 4.3 4.1 192.6 5.7 8.2
Not London 3.8 7.4 3.7 3.5 62.2 4.1 4.9
90:10 ratios in 2012/13
London 4.7 7.4 4.4 4.1 166.6 5.3 9.2
Not London 3.9 7.8 3.8 3.6 57.6 3.7 4.8
Suggested hashtag for Twitter users: #LSEworks
Changing Patterns of Inequality in the UK
LSE Works: Centre for Analysis of Social Exclusion (CASE) public lecture
Bharat Mehta Chair, Chief Executive, Trust for London
Professor John Hills Professor, Social Policy Director, Centre for Analysis of Social Exclusion (CASE), LSE
Dr Polly Vizard Senior Research Fellow, Centre for Analysis of Social Exclusion (CASE), LSE