"To be and to feel economically secure is to live with dignity, to be able to seize opportunities and to have a sense of hope for the future. That requires sufficient and predictable resources, of income and wealth, in relation to the costs and burdens of life. But it also rests on secure work and a secure home, on education, on good health, and on support and time for caring. It is sustained by relationships of family, friends and community." — Graeme Cooke, Director of Insight and Policy, JRF.

This is the Economic Insecurity spotlight page for Manchester.

Population claiming Universal Credit or Jobseeker's Allowance

Proportion of the population living in fuel poverty

Poverty index

This map shows the result of creating a poverty index for economic insecurity by combining a number of leading indicators of poverty into a single number in the range 0 to 1. A score closer to 0 means that the model is suggesting lower levels of economic insecurity in this area.

1 - Very High
0.75 - High
0.5 - Average
0.25 - Low
0 - Very Low
Ancoats & Beswick 0.707Ardwick 0.707Baguley 0.707Brooklands 0.707Burnage 0.707Charlestown 0.707Cheetham 0.707Chorlton 0.707Chorlton Park 0.707Clayton & Openshaw 0.707Crumpsall 0.707Deansgate 0.707Didsbury East 0.707Didsbury West 0.707Fallowfield 0.707Gorton & Abbey Hey 0.707Harpurhey 0.707Higher Blackley 0.707Hulme 0.707Levenshulme 0.707Longsight 0.707Miles Platting & Newton Heath 0.707Moss Side 0.707Moston 0.707Northenden 0.707Old Moat 0.707Piccadilly 0.707Rusholme 0.707Sharston 0.707Whalley Range 0.707Withington 0.707Woodhouse Park 0.707

How to interpret the index

In the context of this model, a value closer to 1 indicates that a given place tends to rank higher relative to other places in metrics that we have identified as contributing to economic insecurity. This does not necessarily mean that you are more likely to experience poverty in those places, however.

How we calculate the index

The highest and lowest values will score 1 and 0, respectively, and everything else will fall somewhere in between. We create an average index across 6 metrics

This is a proof of concept. You can see the code and read more about the logic to create these stats here.

Key indicators

The following analysis reflects the experience across the population of Manchester.

Rates of unemployment and economic inactivity over time

What's on this chart?

This chart shows labour market statistics for Manchester.

Dataset

Labour market economic activity
Unemployment rate
Economic inactivity rate
YearJun 2005Jun 2008Jun 2011Jun 2014Jun 2017Jun 2020Jun 2023% of population0101520253035405Unemployment rate 2004-12-01: 8.5Unemployment rate 2005-03-01: 7.6Unemployment rate 2005-06-01: 6.6Unemployment rate 2005-09-01: 6.7Unemployment rate 2005-12-01: 8.3Unemployment rate 2006-03-01: 8.8Unemployment rate 2006-06-01: 8.3Unemployment rate 2006-09-01: 8Unemployment rate 2006-12-01: 6.9Unemployment rate 2007-03-01: 6.3Unemployment rate 2007-06-01: 7.5Unemployment rate 2007-09-01: 8.2Unemployment rate 2007-12-01: 8.4Unemployment rate 2008-03-01: 10.1Unemployment rate 2008-06-01: 10.3Unemployment rate 2008-09-01: 10.1Unemployment rate 2008-12-01: 10.4Unemployment rate 2009-03-01: 10.4Unemployment rate 2009-06-01: 10.8Unemployment rate 2009-09-01: 12.4Unemployment rate 2009-12-01: 13.3Unemployment rate 2010-03-01: 13.3Unemployment rate 2010-06-01: 12.9Unemployment rate 2010-09-01: 12.4Unemployment rate 2010-12-01: 11.5Unemployment rate 2011-03-01: 11.2Unemployment rate 2011-06-01: 11.6Unemployment rate 2011-09-01: 11.8Unemployment rate 2011-12-01: 11.6Unemployment rate 2012-03-01: 12.4Unemployment rate 2012-06-01: 13.3Unemployment rate 2012-09-01: 13.4Unemployment rate 2012-12-01: 13.2Unemployment rate 2013-03-01: 12.9Unemployment rate 2013-06-01: 12.3Unemployment rate 2013-09-01: 10.2Unemployment rate 2013-12-01: 10.3Unemployment rate 2014-03-01: 9.5Unemployment rate 2014-06-01: 9.4Unemployment rate 2014-09-01: 9.1Unemployment rate 2014-12-01: 9.3Unemployment rate 2015-03-01: 9.3Unemployment rate 2015-06-01: 8.3Unemployment rate 2015-09-01: 9.2Unemployment rate 2015-12-01: 8.1Unemployment rate 2016-03-01: 7.3Unemployment rate 2016-06-01: 8.1Unemployment rate 2016-09-01: 7.7Unemployment rate 2016-12-01: 8.3Unemployment rate 2017-03-01: 8.7Unemployment rate 2017-06-01: 7.6Unemployment rate 2017-09-01: 7.9Unemployment rate 2017-12-01: 6.3Unemployment rate 2018-03-01: 6.2Unemployment rate 2018-06-01: 5.2Unemployment rate 2018-09-01: 4.1Unemployment rate 2018-12-01: 4.9Unemployment rate 2019-03-01: 4.1Unemployment rate 2019-06-01: 5.2Unemployment rate 2019-09-01: 5.8Unemployment rate 2019-12-01: 6.3Unemployment rate 2020-03-01: 6.8Unemployment rate 2020-06-01: 7.6Unemployment rate 2020-09-01: 8.2Unemployment rate 2020-12-01: 8.6Unemployment rate 2021-03-01: 8.6Unemployment rate 2021-06-01: 9.2Unemployment rate 2021-09-01: 9Unemployment rate 2021-12-01: 9Unemployment rate 2022-03-01: 9.2Unemployment rate 2022-06-01: 7.6Unemployment rate 2022-09-01: 7.3Unemployment rate 2022-12-01: 6Unemployment rate 2023-03-01: 5.2Unemployment rate 2023-06-01: 4.6Economic inactivity rate 2004-12-01: 35.2Economic inactivity rate 2005-03-01: 35Economic inactivity rate 2005-06-01: 35.6Economic inactivity rate 2005-09-01: 35.3Economic inactivity rate 2005-12-01: 34.6Economic inactivity rate 2006-03-01: 32.9Economic inactivity rate 2006-06-01: 31.6Economic inactivity rate 2006-09-01: 30.6Economic inactivity rate 2006-12-01: 30.3Economic inactivity rate 2007-03-01: 30.6Economic inactivity rate 2007-06-01: 29.2Economic inactivity rate 2007-09-01: 30Economic inactivity rate 2007-12-01: 31Economic inactivity rate 2008-03-01: 31.2Economic inactivity rate 2008-06-01: 33.7Economic inactivity rate 2008-09-01: 32.3Economic inactivity rate 2008-12-01: 33.9Economic inactivity rate 2009-03-01: 33.8Economic inactivity rate 2009-06-01: 31.9Economic inactivity rate 2009-09-01: 32.5Economic inactivity rate 2009-12-01: 31.2Economic inactivity rate 2010-03-01: 32.8Economic inactivity rate 2010-06-01: 32.9Economic inactivity rate 2010-09-01: 32.5Economic inactivity rate 2010-12-01: 32.4Economic inactivity rate 2011-03-01: 33.6Economic inactivity rate 2011-06-01: 33.6Economic inactivity rate 2011-09-01: 33.9Economic inactivity rate 2011-12-01: 33.8Economic inactivity rate 2012-03-01: 32.9Economic inactivity rate 2012-06-01: 32.4Economic inactivity rate 2012-09-01: 31.1Economic inactivity rate 2012-12-01: 31.2Economic inactivity rate 2013-03-01: 29.8Economic inactivity rate 2013-06-01: 30.8Economic inactivity rate 2013-09-01: 32Economic inactivity rate 2013-12-01: 31.3Economic inactivity rate 2014-03-01: 31.3Economic inactivity rate 2014-06-01: 31.2Economic inactivity rate 2014-09-01: 30.8Economic inactivity rate 2014-12-01: 31.4Economic inactivity rate 2015-03-01: 31.3Economic inactivity rate 2015-06-01: 32.8Economic inactivity rate 2015-09-01: 32.7Economic inactivity rate 2015-12-01: 31.7Economic inactivity rate 2016-03-01: 31.1Economic inactivity rate 2016-06-01: 29.7Economic inactivity rate 2016-09-01: 30.6Economic inactivity rate 2016-12-01: 30.9Economic inactivity rate 2017-03-01: 31.1Economic inactivity rate 2017-06-01: 29.8Economic inactivity rate 2017-09-01: 28.3Economic inactivity rate 2017-12-01: 28Economic inactivity rate 2018-03-01: 26.6Economic inactivity rate 2018-06-01: 27.1Economic inactivity rate 2018-09-01: 26.7Economic inactivity rate 2018-12-01: 27Economic inactivity rate 2019-03-01: 28.3Economic inactivity rate 2019-06-01: 29.9Economic inactivity rate 2019-09-01: 28.3Economic inactivity rate 2019-12-01: 28.7Economic inactivity rate 2020-03-01: 28.7Economic inactivity rate 2020-06-01: 26.8Economic inactivity rate 2020-09-01: 28.4Economic inactivity rate 2020-12-01: 26.7Economic inactivity rate 2021-03-01: 24.5Economic inactivity rate 2021-06-01: 24.2Economic inactivity rate 2021-09-01: 23.9Economic inactivity rate 2021-12-01: 24.1Economic inactivity rate 2022-03-01: 25.1Economic inactivity rate 2022-06-01: 25.4Economic inactivity rate 2022-09-01: 27.8Economic inactivity rate 2022-12-01: 27.9Economic inactivity rate 2023-03-01: 28Economic inactivity rate 2023-06-01: 26.1

Fuel poverty rate by geography

What's on this chart?

This chart shows the percentage of households in fuel poverty across the different areas in Manchester. In Manchester 40064 of 219107 households are in fuel poverty.

Dataset

Fuel Poverty
44% (highest)
23.5%
3% (lowest)
Ancoats & Beswick 11.4% of households are fuel poorArdwick 18.8% of households are fuel poorBaguley 12.8% of households are fuel poorBrooklands 11.0% of households are fuel poorBurnage 21.2% of households are fuel poorCharlestown 15.3% of households are fuel poorCheetham 18.1% of households are fuel poorChorlton 12.4% of households are fuel poorChorlton Park 16.1% of households are fuel poorClayton & Openshaw 24.7% of households are fuel poorCrumpsall 23.8% of households are fuel poorDeansgate 7.2% of households are fuel poorDidsbury East 11.0% of households are fuel poorDidsbury West 10.9% of households are fuel poorFallowfield 21.9% of households are fuel poorGorton & Abbey Hey 25.5% of households are fuel poorHarpurhey 22.3% of households are fuel poorHigher Blackley 17.2% of households are fuel poorHulme 9.9% of households are fuel poorLevenshulme 27.7% of households are fuel poorLongsight 31.3% of households are fuel poorMiles Platting & Newton Heath 19.6% of households are fuel poorMoss Side 30.6% of households are fuel poorMoston 18.2% of households are fuel poorNorthenden 14.5% of households are fuel poorOld Moat 22.3% of households are fuel poorPiccadilly 8.3% of households are fuel poorRusholme 28.9% of households are fuel poorSharston 15.7% of households are fuel poorWhalley Range 18.2% of households are fuel poorWithington 23.9% of households are fuel poorWoodhouse Park 13.6% of households are fuel poor

Median weekly wage by geography

What's on this chart?

This chart shows the median weekly wage for different areas in Manchester.

Dataset

Annual Survey of Hours and Earnings Weekly Earnings
£463 (lowest)
£563.5
£664 (highest)

Percentage of people in low income households by their savings and investments

What's on this chart?

This chart shows the poverty rates by the savings and investments of adults in the family in Manchester. The threshold for low income poverty is households below 60% of median net household income (after housing costs) in latest prices.

Dataset

HBAI by savings and investments

No data available at this level

Percentage of jobs below living wage by gender and hours

What's on this chart?

This chart shows the percentage of jobs that are paid below living wage in Manchester. Percentages can add to more than 100 as "All sexes" includes those already counted in "Men" and "Women".

Dataset

Jobs below living wage
All (%)
Female (%)
Male (%)
Percentage of jobs below living wage02040Part-TimeFull-TimeAllAll (%) All: 9.7All (%) Full-Time: 4.7All (%) Part-Time: 28Female (%) All: 10.1Female (%) Full-Time: 4.4Female (%) Part-Time: 24Male (%) All: 9.3Male (%) Full-Time: 5Male (%) Part-Time: 37.3

Demographic breakdown

Poverty can disproportionately affect certain groups. This section presents analysis of Economic Insecurity with a focus on demographics.

Gender pay gap in different types of work

What's on this chart?

This chart shows the gender pay gap as a percentage differenece in Manchester.


Gender pay gap (GPG) is calculated as the difference between average hourly earnings (excluding overtime) of men and women as a proportion of average hourly earnings (excluding overtime) of men. For example, a 4% GPG denotes that women earn 4% less, on average, than men. Conversely, a -4% GPG denotes that women earn 4% more, on average, than men.

Dataset

Gender pay gap
Median gap (%)
Mean gap (%)
-301215369Part-TimeFull-TimeAllMedian gap (%) All: 8.4Median gap (%) Full-Time: 6.1Median gap (%) Part-Time: -0.7Mean gap (%) All: 12.1Mean gap (%) Full-Time: 11.3Mean gap (%) Part-Time: 4.3

People in low income households by ethnic group

What's on this chart?

This chart shows the poverty rates by ethnic group in Manchester. The threshold for low income poverty is households below 60% of median net household income (after housing costs) in latest prices.

These statistics have been three-year averaged and rounded according to the guidance on statXplore. This method helps smooth erratic series and so give more robust estimates as the FRS sample size and coverage issues mean that single year results broken down below the level of UK region are unlikely to be reliable.

Dataset

HBAI by ethnic group

No data available at this level

People in low income households by marital status

What's on this chart?

This chart shows the poverty rates by marital/cohabiting status in Manchester. The threshold for low income poverty is households below 60% of median net household income (after housing costs) in latest prices.

These statistics have been three-year averaged and rounded according to the guidance on statXplore.

Dataset

No data available at this level

See also the briefing by JRF for Economic security.