Jobs & pay · Local · Hampshire’s 13 council areas · August 2026
Your area: who is claiming work-related benefits?
1.8% of residents aged 16–64 in Hart were claiming work-related benefits in August 2026, against 4.5% in Portsmouth and 4.0% across England. The claimant count is its own measure — not the local unemployment rate.
Evidence last reviewed 3 October 2026
What the claimant count measures
The Claimant Count is the number of people claiming Universal Credit (or Jobseeker’s Allowance) who are required to look for work, shown here as a share of residents aged 16–64. It is an administrative count, available every month for every council area. It is not the unemployment rate: some claimants are in low-paid work and asked to look for more, and many unemployed people claim nothing. The UK unemployment rate (4.9%, May to July 2026) comes from a survey and has a different denominator.
Local coverage here is Hampshire only, the site’s local focus: the 11 district councils plus Portsmouth and Southampton. It does not imply comparable coverage for the rest of the UK.
Hampshire’s 13 areas compared
Where in Hampshire are more people claiming work-related benefits?
Portsmouth has the highest claimant rate in Hampshire (4.5%); Hart the lowest (1.8%)
Claimant Count as a percentage of residents aged 16–64, Hampshire’s 13 council areas (including Portsmouth and Southampton), August 2026 (filled dot) and August 2019 (open dot). England: 4.0%.
- Portsmouth4.5%
- Southampton4.2%
- Gosport3.6%
- Havant3.3%
- Rushmoor3.0%
- Basingstoke and Deane2.7%
- Eastleigh2.3%
- New Forest2.3%
- East Hampshire2.1%
- Winchester2.1%
- Fareham2.0%
- Test Valley2.0%
- Hart1.8%
Hampshire local authorities (13), with England as benchmark · August 2019 and August 2026 (same month, not seasonally adjusted) · Official statistics; August 2026 is provisional
Sources, definitions and data — Portsmouth has the highest claimant rate in Hampshire (4.5%); Hart the lowest (1.8%)
- Geography:
- Hampshire local authorities (13), with England as benchmark — Residents aged 16–64
- Measure:
- Claimants as % of residents aged 16–64
- Period:
- August 2019 and August 2026 (same month, not seasonally adjusted)
- Status:
- Official statistics; August 2026 is provisional
- Calculation:
- As published by Nomis (measure 2). Same calendar month compared because the series is not seasonally adjusted.
- Compare with:
- England 4.0%; South East 3.1%
- Not included / breaks:
- NOT an unemployment rate: it counts people claiming Universal Credit (or Jobseeker’s Allowance) who are required to look for work, including some in low-paid work, and misses unemployed people who claim nothing. Universal Credit widened who is counted, so part of the rise since 2019 is administrative.
Source: ONS Claimant Count via Nomis, NM_162_1, claimants as a proportion of residents aged 16–64. Chart WORK-10.
View the data as a table
| Area | August 2026 | August 2025 | August 2019 |
|---|---|---|---|
| Portsmouth | 4.5 | 4.5 | 2.6 |
| Southampton | 4.2 | 4.0 | 3.1 |
| Gosport | 3.6 | 3.5 | 2.0 |
| Havant | 3.3 | 3.5 | 2.3 |
| Rushmoor | 3.0 | 2.9 | 1.3 |
| Basingstoke and Deane | 2.7 | 2.6 | 1.6 |
| Eastleigh | 2.3 | 2.1 | 1.4 |
| New Forest | 2.3 | 2.3 | 1.3 |
| East Hampshire | 2.1 | 2.0 | 1.0 |
| Winchester | 2.1 | 2.0 | 1.1 |
| Fareham | 2.0 | 2.0 | 1.0 |
| Test Valley | 2.0 | 1.9 | 1.2 |
| Hart | 1.8 | 1.6 | 0.6 |
Scroll the table sideways to see every column.
Gaps should be read in percentage points: Portsmouth (4.5%) is 0.5 percentage points above England (4.0%), and 2.7 percentage points above Hart. A year earlier, in August 2025, England’s rate was 4.0%.
How has the claimant rate changed over time?
Portsmouth’s claimant rate is 4.5%, 0.5 percentage points above England’s 4.0%
Claimant Count as a percentage of residents aged 16–64, Portsmouth, England and the South East, monthly, not seasonally adjusted, January 2013 to August 2026.
1996–2026 displayed window · observations only. Shading marks years outside the displayed record.
Portsmouth, South East region, England · January 2013 to August 2026 · Official statistics; August 2026 is provisional
Sources, definitions and data — Portsmouth’s claimant rate is 4.5%, 0.5 percentage points above England’s 4.0%
- Geography:
- Portsmouth, South East region, England — Residents aged 16–64
- Measure:
- Claimants as % of residents aged 16–64
- Period:
- January 2013 to August 2026
- Status:
- Official statistics; August 2026 is provisional
- Calculation:
- As published by Nomis (measure 2).
- Compare with:
- England and the South East
- Not included / breaks:
- Universal Credit rollout (2013–2018) and the March 2020 eligibility changes widened who is counted; the jump in 2020 is partly administrative. Not seasonally adjusted.
Source: ONS Claimant Count via Nomis, NM_162_1, claimants as a proportion of residents aged 16–64. Chart WORK-11.
View the data as a table
| Month | Portsmouth (%) | England (%) | South East (%) |
|---|---|---|---|
| Jan 2013 | 3.7 | 3.8 | 2.5 |
| Feb 2013 | 3.9 | 3.8 | 2.6 |
| Mar 2013 | 3.8 | 3.8 | 2.5 |
| Apr 2013 | 3.7 | 3.7 | 2.4 |
| May 2013 | 3.5 | 3.5 | 2.3 |
| Jun 2013 | 3.3 | 3.4 | 2.2 |
| Jul 2013 | 3.2 | 3.3 | 2.1 |
| Aug 2013 | 3.1 | 3.3 | 2.0 |
| Sep 2013 | 3.0 | 3.1 | 2.0 |
| Oct 2013 | 2.9 | 3.0 | 1.9 |
| Nov 2013 | 2.9 | 2.9 | 1.8 |
| Dec 2013 | 2.8 | 2.8 | 1.8 |
| Jan 2014 | 2.8 | 2.9 | 1.8 |
| Feb 2014 | 2.8 | 2.9 | 1.8 |
| Mar 2014 | 2.6 | 2.8 | 1.7 |
| Apr 2014 | 2.5 | 2.7 | 1.6 |
| May 2014 | 2.4 | 2.5 | 1.5 |
| Jun 2014 | 2.2 | 2.4 | 1.4 |
| Jul 2014 | 2.1 | 2.3 | 1.4 |
| Aug 2014 | 2.1 | 2.2 | 1.3 |
| Sep 2014 | 2.0 | 2.1 | 1.3 |
| Oct 2014 | 2.0 | 2.1 | 1.2 |
| Nov 2014 | 2.0 | 2.0 | 1.2 |
| Dec 2014 | 1.9 | 1.9 | 1.2 |
| Jan 2015 | 2.0 | 2.0 | 1.2 |
| Feb 2015 | 2.0 | 2.0 | 1.2 |
| Mar 2015 | 1.9 | 1.9 | 1.2 |
| Apr 2015 | 1.8 | 1.9 | 1.1 |
| May 2015 | 1.7 | 1.8 | 1.1 |
| Jun 2015 | 1.6 | 1.8 | 1.0 |
| Jul 2015 | 1.6 | 1.8 | 1.0 |
| Aug 2015 | 1.6 | 1.8 | 1.0 |
| Sep 2015 | 1.5 | 1.7 | 1.0 |
| Oct 2015 | 1.5 | 1.7 | 1.0 |
| Nov 2015 | 1.4 | 1.7 | 1.0 |
| Dec 2015 | 1.4 | 1.7 | 1.0 |
| Jan 2016 | 1.5 | 1.7 | 1.1 |
| Feb 2016 | 1.6 | 1.8 | 1.1 |
| Mar 2016 | 1.6 | 1.8 | 1.1 |
| Apr 2016 | 1.5 | 1.8 | 1.1 |
| May 2016 | 1.4 | 1.8 | 1.1 |
| Jun 2016 | 1.4 | 1.7 | 1.0 |
| Jul 2016 | 1.4 | 1.7 | 1.0 |
| Aug 2016 | 1.4 | 1.8 | 1.0 |
| Sep 2016 | 1.4 | 1.7 | 1.1 |
| Oct 2016 | 1.4 | 1.7 | 1.1 |
| Nov 2016 | 1.4 | 1.7 | 1.1 |
| Dec 2016 | 1.4 | 1.7 | 1.0 |
| Jan 2017 | 1.5 | 1.8 | 1.1 |
| Feb 2017 | 1.6 | 1.8 | 1.1 |
| Mar 2017 | 1.6 | 1.9 | 1.2 |
| Apr 2017 | 1.7 | 1.9 | 1.2 |
| May 2017 | 1.7 | 1.9 | 1.1 |
| Jun 2017 | 1.7 | 1.8 | 1.1 |
| Jul 2017 | 1.6 | 1.8 | 1.1 |
| Aug 2017 | 1.5 | 1.8 | 1.1 |
| Sep 2017 | 1.5 | 1.8 | 1.1 |
| Oct 2017 | 1.6 | 1.8 | 1.1 |
| Nov 2017 | 1.6 | 1.8 | 1.1 |
| Dec 2017 | 1.6 | 1.8 | 1.2 |
| Jan 2018 | 1.7 | 1.9 | 1.2 |
| Feb 2018 | 1.8 | 2.0 | 1.3 |
| Mar 2018 | 1.8 | 2.0 | 1.3 |
| Apr 2018 | 1.7 | 2.1 | 1.4 |
| May 2018 | 1.7 | 2.1 | 1.3 |
| Jun 2018 | 1.7 | 2.1 | 1.3 |
| Jul 2018 | 1.7 | 2.1 | 1.3 |
| Aug 2018 | 1.7 | 2.1 | 1.3 |
| Sep 2018 | 1.7 | 2.1 | 1.4 |
| Oct 2018 | 1.7 | 2.2 | 1.4 |
| Nov 2018 | 1.7 | 2.2 | 1.4 |
| Dec 2018 | 1.8 | 2.3 | 1.5 |
| Jan 2019 | 2.0 | 2.3 | 1.5 |
| Feb 2019 | 2.1 | 2.5 | 1.6 |
| Mar 2019 | 2.2 | 2.5 | 1.7 |
| Apr 2019 | 2.3 | 2.6 | 1.7 |
| May 2019 | 2.4 | 2.6 | 1.7 |
| Jun 2019 | 2.5 | 2.7 | 1.8 |
| Jul 2019 | 2.5 | 2.7 | 1.8 |
| Aug 2019 | 2.6 | 2.7 | 1.8 |
| Sep 2019 | 2.7 | 2.7 | 1.9 |
| Oct 2019 | 2.8 | 2.8 | 1.9 |
| Nov 2019 | 2.9 | 2.8 | 2.0 |
| Dec 2019 | 3.0 | 2.8 | 2.0 |
| Jan 2020 | 3.1 | 2.9 | 2.0 |
| Feb 2020 | 3.2 | 3.0 | 2.1 |
| Mar 2020 | 3.2 | 3.0 | 2.1 |
| Apr 2020 | 5.7 | 5.0 | 3.8 |
| May 2020 | 7.4 | 6.4 | 5.3 |
| Jun 2020 | 7.0 | 6.2 | 5.0 |
| Jul 2020 | 7.1 | 6.3 | 5.1 |
| Aug 2020 | 7.3 | 6.4 | 5.3 |
| Sep 2020 | 7.1 | 6.4 | 5.2 |
| Oct 2020 | 6.9 | 6.2 | 5.0 |
| Nov 2020 | 7.1 | 6.3 | 5.1 |
| Dec 2020 | 7.0 | 6.2 | 5.1 |
| Jan 2021 | 7.0 | 6.1 | 5.0 |
| Feb 2021 | 7.4 | 6.4 | 5.2 |
| Mar 2021 | 7.4 | 6.4 | 5.2 |
| Apr 2021 | 7.3 | 6.3 | 5.1 |
| May 2021 | 6.8 | 5.9 | 4.7 |
| Jun 2021 | 6.4 | 5.5 | 4.3 |
| Jul 2021 | 6.2 | 5.4 | 4.2 |
| Aug 2021 | 6.0 | 5.2 | 4.0 |
| Sep 2021 | 5.6 | 4.9 | 3.8 |
| Oct 2021 | 5.4 | 4.7 | 3.6 |
| Nov 2021 | 5.3 | 4.5 | 3.5 |
| Dec 2021 | 5.2 | 4.4 | 3.4 |
| Jan 2022 | 5.1 | 4.2 | 3.3 |
| Feb 2022 | 5.0 | 4.2 | 3.3 |
| Mar 2022 | 4.9 | 4.1 | 3.2 |
| Apr 2022 | 4.7 | 3.9 | 3.0 |
| May 2022 | 4.5 | 3.8 | 2.9 |
| Jun 2022 | 4.4 | 3.7 | 2.8 |
| Jul 2022 | 4.3 | 3.7 | 2.8 |
| Aug 2022 | 4.4 | 3.6 | 2.8 |
| Sep 2022 | 4.3 | 3.6 | 2.8 |
| Oct 2022 | 4.3 | 3.6 | 2.7 |
| Nov 2022 | 4.4 | 3.6 | 2.8 |
| Dec 2022 | 4.4 | 3.6 | 2.8 |
| Jan 2023 | 4.3 | 3.6 | 2.7 |
| Feb 2023 | 4.3 | 3.6 | 2.8 |
| Mar 2023 | 4.4 | 3.7 | 2.8 |
| Apr 2023 | 4.3 | 3.7 | 2.8 |
| May 2023 | 4.2 | 3.6 | 2.7 |
| Jun 2023 | 4.3 | 3.6 | 2.7 |
| Jul 2023 | 4.3 | 3.7 | 2.7 |
| Aug 2023 | 4.3 | 3.6 | 2.7 |
| Sep 2023 | 4.3 | 3.6 | 2.7 |
| Oct 2023 | 4.3 | 3.6 | 2.8 |
| Nov 2023 | 4.3 | 3.7 | 2.8 |
| Dec 2023 | 4.4 | 3.7 | 2.8 |
| Jan 2024 | 4.5 | 3.7 | 2.8 |
| Feb 2024 | 4.6 | 3.8 | 2.9 |
| Mar 2024 | 4.6 | 3.8 | 2.9 |
| Apr 2024 | 4.6 | 3.8 | 2.9 |
| May 2024 | 4.6 | 3.8 | 2.9 |
| Jun 2024 | 4.6 | 3.9 | 2.9 |
| Jul 2024 | 5.0 | 4.2 | 3.1 |
| Aug 2024 | 4.9 | 4.2 | 3.1 |
| Sep 2024 | 4.9 | 4.2 | 3.1 |
| Oct 2024 | 4.8 | 4.2 | 3.1 |
| Nov 2024 | 4.8 | 4.1 | 3.1 |
| Dec 2024 | 4.6 | 4.0 | 3.0 |
| Jan 2025 | 4.6 | 4.0 | 3.0 |
| Feb 2025 | 4.7 | 4.2 | 3.1 |
| Mar 2025 | 4.8 | 4.1 | 3.1 |
| Apr 2025 | 4.7 | 4.1 | 3.1 |
| May 2025 | 4.7 | 4.0 | 3.1 |
| Jun 2025 | 4.6 | 4.0 | 3.1 |
| Jul 2025 | 4.5 | 4.0 | 3.0 |
| Aug 2025 | 4.5 | 4.0 | 3.0 |
| Sep 2025 | 4.5 | 3.9 | 3.0 |
| Oct 2025 | 4.5 | 3.9 | 3.0 |
| Nov 2025 | 4.5 | 3.9 | 3.0 |
| Dec 2025 | 4.5 | 3.9 | 3.0 |
| Jan 2026 | 4.5 | 3.9 | 3.0 |
| Feb 2026 | 4.6 | 4.0 | 3.1 |
| Mar 2026 | 4.6 | 4.0 | 3.2 |
| Apr 2026 | 4.6 | 4.0 | 3.1 |
| May 2026 | 4.5 | 4.0 | 3.1 |
| Jun 2026 | 4.5 | 4.0 | 3.1 |
| Jul 2026 | 4.4 | 3.9 | 3.1 |
| Aug 2026 | 4.5 | 4.0 | 3.1 |
Scroll the table sideways to see every column.
Going further locally
ONS does not publish NEET estimates below UK level, and survey-based local unemployment estimates are modelled with wide margins. For other local measures, compare areas in How does this compare in Hampshire? — noting that it switches measures and denominators. National options are in What would move the needle?
Sources and methods (1)
- ONS Claimant Count via Nomis, NM_162_1, claimants as a proportion of residents aged 16–64 — claimant rates, Hampshire, South East and England
Method notes
- Claimant rate = claimants ÷ residents aged 16–64 (Nomis NM_162_1, measure 2). Not seasonally adjusted, so the same month is compared across years; the latest month is provisional.
- Universal Credit rollout (2013–2018) and March 2020 eligibility changes widened who is counted, so levels before and after are not like-for-like.