"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 Newcastle upon Tyne.

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
Arthur's Hill 0.516Benwell & Scotswood 0.516Blakelaw 0.516Byker 0.516Callerton & Throckley 0.516Castle 0.516Chapel 0.516Dene & South Gosforth 0.516Denton & Westerhope 0.516Elswick 0.516Fawdon & West Gosforth 0.516Gosforth 0.516Heaton 0.516Kenton 0.516Kingston Park South & Newbiggin Hall 0.516Lemington 0.516Manor Park 0.516Monument 0.516North Jesmond 0.516Ouseburn 0.516Parklands 0.516South Jesmond 0.516Walker 0.516Walkergate 0.516West Fenham 0.516Wingrove 0.516

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 Newcastle upon Tyne.

Rates of unemployment and economic inactivity over time

What's on this chart?

This chart shows labour market statistics for Newcastle upon Tyne.

Dataset

Labour market economic activity
Unemployment rate
Economic inactivity rate
YearJun 2005Jun 2008Jun 2011Jun 2014Jun 2017Jun 2020Jun 2023% of population01015202530355Unemployment rate 2004-12-01: 7.3Unemployment rate 2005-03-01: 7.5Unemployment rate 2005-06-01: 7.3Unemployment rate 2005-09-01: 6.7Unemployment rate 2005-12-01: 6.4Unemployment rate 2006-03-01: 6.6Unemployment rate 2006-06-01: 7.2Unemployment rate 2006-09-01: 7.9Unemployment rate 2006-12-01: 8Unemployment rate 2007-03-01: 7.9Unemployment rate 2007-06-01: 7.3Unemployment rate 2007-09-01: 6.6Unemployment rate 2007-12-01: 7Unemployment rate 2008-03-01: 7.3Unemployment rate 2008-06-01: 7.5Unemployment rate 2008-09-01: 7.4Unemployment rate 2008-12-01: 9.1Unemployment rate 2009-03-01: 10Unemployment rate 2009-06-01: 11.9Unemployment rate 2009-09-01: 13.8Unemployment rate 2009-12-01: 13.2Unemployment rate 2010-03-01: 13.5Unemployment rate 2010-06-01: 12.1Unemployment rate 2010-09-01: 9.3Unemployment rate 2010-12-01: 9.9Unemployment rate 2011-03-01: 9.8Unemployment rate 2011-06-01: 10.1Unemployment rate 2011-09-01: 10.3Unemployment rate 2011-12-01: 10.9Unemployment rate 2012-03-01: 10.2Unemployment rate 2012-06-01: 11.1Unemployment rate 2012-09-01: 11.3Unemployment rate 2012-12-01: 10.2Unemployment rate 2013-03-01: 11Unemployment rate 2013-06-01: 10.9Unemployment rate 2013-09-01: 11.7Unemployment rate 2013-12-01: 11.2Unemployment rate 2014-03-01: 10.6Unemployment rate 2014-06-01: 9.6Unemployment rate 2014-09-01: 10.1Unemployment rate 2014-12-01: 10.3Unemployment rate 2015-03-01: 9.9Unemployment rate 2015-06-01: 9.9Unemployment rate 2015-09-01: 9.2Unemployment rate 2015-12-01: 9.2Unemployment rate 2016-03-01: 8.8Unemployment rate 2016-06-01: 9.4Unemployment rate 2016-09-01: 7.5Unemployment rate 2016-12-01: 7.7Unemployment rate 2017-03-01: 8.3Unemployment rate 2017-06-01: 6.9Unemployment rate 2017-09-01: 6.5Unemployment rate 2017-12-01: 6.3Unemployment rate 2018-03-01: 5.6Unemployment rate 2018-06-01: 5.7Unemployment rate 2018-09-01: 6.6Unemployment rate 2018-12-01: 4.7Unemployment rate 2019-03-01: 4.5Unemployment rate 2019-06-01: 4.1Unemployment rate 2019-09-01: 4Unemployment rate 2019-12-01: 5.2Unemployment rate 2020-03-01: 5.6Unemployment rate 2020-06-01: 5.8Unemployment rate 2020-09-01: 6.9Unemployment rate 2020-12-01: 6.2Unemployment rate 2021-03-01: 6.4Unemployment rate 2021-06-01: 7.4Unemployment rate 2021-09-01: 6.8Unemployment rate 2021-12-01: 7.2Unemployment rate 2022-03-01: 6.6Unemployment rate 2022-06-01: 5.3Unemployment rate 2022-09-01: 4.7Unemployment rate 2022-12-01: 4.2Unemployment rate 2023-03-01: 4Unemployment rate 2023-06-01: 3.9Economic inactivity rate 2004-12-01: 29.2Economic inactivity rate 2005-03-01: 28.8Economic inactivity rate 2005-06-01: 28Economic inactivity rate 2005-09-01: 28.3Economic inactivity rate 2005-12-01: 28.2Economic inactivity rate 2006-03-01: 30.3Economic inactivity rate 2006-06-01: 30.9Economic inactivity rate 2006-09-01: 29.6Economic inactivity rate 2006-12-01: 30Economic inactivity rate 2007-03-01: 28Economic inactivity rate 2007-06-01: 27.6Economic inactivity rate 2007-09-01: 27.8Economic inactivity rate 2007-12-01: 29.7Economic inactivity rate 2008-03-01: 31.6Economic inactivity rate 2008-06-01: 30.6Economic inactivity rate 2008-09-01: 30.9Economic inactivity rate 2008-12-01: 28.9Economic inactivity rate 2009-03-01: 29.2Economic inactivity rate 2009-06-01: 30.2Economic inactivity rate 2009-09-01: 30.5Economic inactivity rate 2009-12-01: 31.3Economic inactivity rate 2010-03-01: 30.4Economic inactivity rate 2010-06-01: 29.5Economic inactivity rate 2010-09-01: 28.6Economic inactivity rate 2010-12-01: 29.4Economic inactivity rate 2011-03-01: 28.6Economic inactivity rate 2011-06-01: 29.8Economic inactivity rate 2011-09-01: 31.8Economic inactivity rate 2011-12-01: 31.7Economic inactivity rate 2012-03-01: 30.1Economic inactivity rate 2012-06-01: 29.3Economic inactivity rate 2012-09-01: 29Economic inactivity rate 2012-12-01: 30.4Economic inactivity rate 2013-03-01: 31.9Economic inactivity rate 2013-06-01: 33.6Economic inactivity rate 2013-09-01: 33.7Economic inactivity rate 2013-12-01: 33.4Economic inactivity rate 2014-03-01: 32.6Economic inactivity rate 2014-06-01: 31.2Economic inactivity rate 2014-09-01: 30.4Economic inactivity rate 2014-12-01: 27.8Economic inactivity rate 2015-03-01: 27.9Economic inactivity rate 2015-06-01: 27.5Economic inactivity rate 2015-09-01: 28.2Economic inactivity rate 2015-12-01: 28.3Economic inactivity rate 2016-03-01: 28.5Economic inactivity rate 2016-06-01: 27.1Economic inactivity rate 2016-09-01: 27.7Economic inactivity rate 2016-12-01: 26.6Economic inactivity rate 2017-03-01: 28.2Economic inactivity rate 2017-06-01: 29.2Economic inactivity rate 2017-09-01: 28.5Economic inactivity rate 2017-12-01: 28.8Economic inactivity rate 2018-03-01: 27.4Economic inactivity rate 2018-06-01: 28.6Economic inactivity rate 2018-09-01: 29.2Economic inactivity rate 2018-12-01: 28.2Economic inactivity rate 2019-03-01: 29Economic inactivity rate 2019-06-01: 26.9Economic inactivity rate 2019-09-01: 27.6Economic inactivity rate 2019-12-01: 29.1Economic inactivity rate 2020-03-01: 29Economic inactivity rate 2020-06-01: 29Economic inactivity rate 2020-09-01: 26.6Economic inactivity rate 2020-12-01: 24Economic inactivity rate 2021-03-01: 22.9Economic inactivity rate 2021-06-01: 21.8Economic inactivity rate 2021-09-01: 24.3Economic inactivity rate 2021-12-01: 24.9Economic inactivity rate 2022-03-01: 25.3Economic inactivity rate 2022-06-01: 26.5Economic inactivity rate 2022-09-01: 27.5Economic inactivity rate 2022-12-01: 29.4Economic inactivity rate 2023-03-01: 28.6Economic inactivity rate 2023-06-01: 29

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 Newcastle upon Tyne. In Newcastle upon Tyne 19128 of 125609 households are in fuel poverty.

Dataset

Fuel Poverty
44% (highest)
23.5%
3% (lowest)
Arthur's Hill 27.6% of households are fuel poorBenwell & Scotswood 16.5% of households are fuel poorBlakelaw 14.2% of households are fuel poorByker 16.2% of households are fuel poorCallerton & Throckley 11.5% of households are fuel poorCastle 9.1% of households are fuel poorChapel 7.0% of households are fuel poorDene & South Gosforth 10.0% of households are fuel poorDenton & Westerhope 12.4% of households are fuel poorElswick 25.8% of households are fuel poorFawdon & West Gosforth 12.2% of households are fuel poorGosforth 10.1% of households are fuel poorHeaton 20.5% of households are fuel poorKenton 12.3% of households are fuel poorKingston Park South & Newbiggin Hall 12.0% of households are fuel poorLemington 12.2% of households are fuel poorManor Park 11.1% of households are fuel poorMonument 12.5% of households are fuel poorNorth Jesmond 28.6% of households are fuel poorOuseburn 18.6% of households are fuel poorParklands 8.3% of households are fuel poorSouth Jesmond 22.3% of households are fuel poorWalker 20.1% of households are fuel poorWalkergate 14.4% of households are fuel poorWest Fenham 12.9% of households are fuel poorWingrove 19.9% 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 Newcastle upon Tyne.

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 Newcastle upon Tyne. 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 Newcastle upon Tyne. 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: 11.7All (%) Full-Time: 7.1All (%) Part-Time: 24Female (%) All: 12.5Female (%) Full-Time: 6.4Female (%) Part-Time: 22.6Male (%) All: 10.8Male (%) Full-Time: 7.8Male (%) Part-Time: 28.1

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 Newcastle upon Tyne.


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 (%)
-3-60121518369Part-TimeFull-TimeAllMedian gap (%) All: 17.4Median gap (%) Full-Time: 9Median gap (%) Part-Time: -1.3Mean gap (%) All: 9.2Mean gap (%) Full-Time: 5.6Mean gap (%) Part-Time: -4.5

People in low income households by ethnic group

What's on this chart?

This chart shows the poverty rates by ethnic group in Newcastle upon Tyne. 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 Newcastle upon Tyne. 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.