Easington
North East · County constituency · County Durham borough
About the Easington constituency
Easington is a county constituency in the North East. The sitting MP is Grahame Morris (Labour), first elected in May 2010. At the 2024 general election, Labour won with 48.9% to 29.8% for Reform UK, a majority of 6,542 votes on a 49.5% turnout. PollCheck's current projection, at the seven-poll average, has Labour on 38.7% and Reform UK on 35.8%, a margin of 2.9 points.
Who lives in Easington? Constituency demographics
From the 2021 Census and 2016 EU referendum estimates. Constituency-level data on 2024 boundaries.
How did Easington vote in 2024 and how would it vote now?
2024 vote shares from the HoC Library. Current projection is at the 7-poll average.
2024 general election
Current projection
Map of Easington
Switch between GE2024 ward winners (modelled estimates, ~4pp average error) and a demographic view from the 2021 Census. Hover any area for detail. How the map is built ›
Easington within County Durham
Easington sits entirely within County Durham Council. County Durham was not due to vote in 2026, so the figures below are the most recent ward results available. About this layer ›
Council overlap
| Council | Share of seat |
|---|---|
| County Durham | 100% |
Recent council by-elections
Council ward by-elections held inside this seat, most recent first. The result column shows which party won; the share column shows the top three parties’ vote shares on the day.
| Date | Ward | Result | Top 3 vote shares |
|---|---|---|---|
| 1 Dec 2023 | Dawdon | Lab HOLD | — |
Most recent council ward results
Latest council winner per ward - May 2026 results where the council voted, otherwise the most recent available result. How this table is sourced ›
| Ward | GE2024 winner | Latest council winner | Shift since GE2024 | Turnout |
|---|---|---|---|---|
| Blackhalls | Labour 49.5%vs Reform 28.2% | No council data | - | - |
| Dawdon | Labour 52.3%vs Reform 28.7% | No council data | - | - |
| Deneside | Labour 48.7%vs Reform 31.1% | No council data | - | - |
| Easington | Labour 48.1%vs Reform 29.7% | No council data | - | - |
| Horden | Labour 51.4%vs Reform 30.7% | No council data | - | - |
| Murton | Labour 52.5%vs Reform 26.0% | No council data | - | - |
| Passfield | Labour 40.8%vs Reform 34.5% | No council data | - | - |
| Peterlee East | Labour 46.5%vs Reform 34.1% | No council data | - | - |
| Peterlee West | Labour 45.7%vs Reform 33.1% | No council data | - | - |
| Seaham | Labour 48.5%vs Reform 28.1% | No council data | - | - |
| Shotton and South Hetton | Labour 46.3%vs Reform 32.4% | No council data | - | - |
| Trimdon and Thornley | Labour 49.8%vs Reform 23.3% | No council data | - | - |
| Wingate | Labour 54.4%vs Reform 26.7% | No council data | - | - |
Projection trajectory
PollCheck's projection for Easington at each of the last 60 GB polls. Hover the chart for the underlying poll details.
Who has won Easington at past general elections?
2024 and notional 2019 rows are on current boundaries; 2010-2017 rows are on the boundaries in force at the time. More on boundaries ›
| Year | Result | MP | Lab | Con | LD | Majority | Turnout |
|---|---|---|---|---|---|---|---|
| 2010 | Lab hold | Grahame Morris | 58.9% | 13.7% | 16.0% | 14,982 | 54.7% |
| 2015 | Lab hold | Grahame Morris | 61.0% | 12.9% | 2.4% | 14,641 | 56.2%+1.5 |
| 2017 | Lab hold | Grahame Morris | 63.7% | 22.7% | 1.3% | 14,892 | 58.3%+2.1 |
| 2019notional | Labour winner | Grahame Morris 2019 MP, pre-review boundary | 46.8% | 27.1% | 4.1% | 7,852 | 56.9%-1.4 |
| 2024 | Lab hold | Grahame Morris | 48.9% | 10.9% | 2.4% | 6,542 | 49.5%-7.4 |
Earlier years are on pre-2024 boundaries; comparable results on the new boundary will be added when sourced.
Constituencies most like Easington
Five seats with similar demographic profiles to Easington. Politics shown for context.
- ↑Leave66.0 / 69.6vs 53.2
- ↓Graduate21.2 / 24.8vs 33.7
- ↓Employed50.2 / 50.5vs 57.3
- ↓Graduate21.2 / 21.3vs 33.7
- ↑Leave66.0 / 68.5vs 53.2
- ↑No quals26.2 / 24.9vs 18.0
- ↑Leave66.0 / 68.7vs 53.2
- ↓Graduate21.2 / 22.1vs 33.7
- ↑No quals26.2 / 26.8vs 18.0
- ↑Leave66.0 / 67.7vs 53.2
- ↓Graduate21.2 / 24.2vs 33.7
- ↓Employed50.2 / 49.7vs 57.3
- ↑Leave66.0 / 69.6vs 53.2
- ↓Graduate21.2 / 22.5vs 33.7
- ↑No quals26.2 / 25.9vs 18.0
What would change this seat?
Move the sliders to set national vote shares. The per-seat projection updates live. Reset returns to the current 7-poll average.
Related
Sources
Every figure on this page is computed from the sources below. Read the full methodology ›
Show full source list
- 2024 general election results · UK Parliament Election Results portal and House of Commons Library briefing CBP-10009.
- Notional 2019 results on 2024 boundaries · UK Parliament Election Results portal. Recalculated by Parliament; carries assumptions about how 2019 voters would have distributed across the redrawn boundaries.
- Historic general election results (2010-2017) · House of Commons Library historic results files (on the boundaries in force at the time).
- Ward-level GE2024 estimates · Britain Elects / New Statesman - article by Ben Walker, underlying spreadsheet. Modelled from constituency totals; average ~4pp per-ward MoE.
- May 2026 council ward results · Democracy Club via PollCheck's locals 2026 dataset.
- Earlier council ward results (2014-2024) · DCLEAPIL v1.0 (Jason Leman, drawing on Andrew Teale's LEAP dataset and Democracy Club).
- Demographics · ONS Census 2021 (England and Wales), aggregated to constituency level using the ONS LSOA21 -> PCON24 best-fit lookup.
- EU referendum 2016 estimates · Constituency-level Leave vote estimates (Hanretty 2017 method).
- MP details and Cabinet roles · UK Parliament Members API. MP photos are fetched live from the same source.
- Boundary geometry and lookups · ONS Open Geography Portal (PCON24 boundaries, LSOA21 boundaries, LSOA21-WD24-LAD24 best-fit lookup).
- Current projection and trajectory · PollCheck's demographic swingometer applied to the rolling 7-poll average from aggregated GB polls. Not a true MRP - vote-share movements are applied through per-constituency sensitivity multipliers derived from demographic regressions.
If you spot a data issue, please let us know.