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House prices in HU19 2AP
WITHERNSEA, EAST RIDING OF YORKSHIRE — Local property resource with postcode intelligence
House prices in HU19 2AP
This house prices page is part of the Pilbe postcode hub for HU19 2AP. It reuses the same source-labelled valuation, crime, area-statistics, listing, and agent context so profile quick links resolve to crawlable resource pages.
Avg. property price
£90,802
Based on 11 recent sales
Most common type
Terraced
55% of properties
Crime level
Low
86 crimes reported in April 2026
Top crime type
Violent Crime
37 incidents (43% of total)
Main tenure type
Owned Outright
37% of households
Largest age group
65-69
12% of residents
Property Valuations in HU19 2AP
11 properties have been sold in HU19 2AP with an average sale price of £90,802. The most recent sale was 20, QUEEN STREET, WITHERNSEA, EAST RIDING OF YORKSHIRE, HU19 2AP on 9 Dec 2022 for £107,000. Prices have increased by an average of 45.2% based on properties with multiple sales.
20, QUEEN STREET, WITHERNSEA, EAST RIDING OF YORKSHIRE, HU19 2AP
Terraced Freehold
£107,000
9 Dec 2022 +22.3%
| Date Sold | Sale Price | Change |
|---|---|---|
| 9 Dec 2022 | £107,000 | +22.3% |
| 15 Jun 2021 | £87,500 | +19.9% |
| 13 Feb 2007 | £73,000 | +128.1% |
| 23 Aug 2002 | £32,000 |
26, QUEEN STREET, WITHERNSEA, EAST RIDING OF YORKSHIRE, HU19 2AP
Terraced Freehold
£115,000
5 Dec 2022 +47.4%
| Date Sold | Sale Price | Change |
|---|---|---|
| 5 Dec 2022 | £115,000 | +47.4% |
| 2 Dec 2015 | £78,000 | +4.0% |
| 20 Aug 2004 | £75,000 | +275.0% |
| 24 May 2002 | £20,000 |
16, QUEEN STREET, WITHERNSEA, EAST RIDING OF YORKSHIRE, HU19 2AP
Terraced Freehold
£110,000
1 Feb 2022 +69.2%
| Date Sold | Sale Price | Change |
|---|---|---|
| 1 Feb 2022 | £110,000 | +69.2% |
| 15 Dec 2016 | £65,000 | +106.4% |
| 9 Jan 1998 | £31,500 |
4, QUEEN STREET, WITHERNSEA, EAST RIDING OF YORKSHIRE, HU19 2AP
Semi-Detached Freehold
£118,000
28 Feb 2020 +8.3%
| Date Sold | Sale Price | Change |
|---|---|---|
| 28 Feb 2020 | £118,000 | +8.3% |
| 16 Dec 2016 | £109,000 | +21.1% |
| 17 Jan 2011 | £90,000 | +24.1% |
| 4 Aug 2004 | £72,500 |
2B, QUEEN STREET, WITHERNSEA, EAST RIDING OF YORKSHIRE, HU19 2AP
Semi-Detached Freehold
£124,000
11 Dec 2017 +24.0%
| Date Sold | Sale Price | Change |
|---|---|---|
| 11 Dec 2017 | £124,000 | +24.0% |
| 1 Feb 2013 | £100,000 |
8, QUEEN STREET, WITHERNSEA, EAST RIDING OF YORKSHIRE, HU19 2AP
Other Freehold
£145,000
26 Sep 2016
2A, QUEEN STREET, WITHERNSEA, EAST RIDING OF YORKSHIRE, HU19 2AP
Semi-Detached Freehold
£105,000
15 Jan 2016 +84.2%
| Date Sold | Sale Price | Change |
|---|---|---|
| 15 Jan 2016 | £105,000 | +84.2% |
| 13 Jun 1998 | £57,000 | +0.0% |
| 26 Sep 1997 | £57,000 |
26C, QUEEN STREET, WITHERNSEA, EAST RIDING OF YORKSHIRE, HU19 2AP
Flat/Maisonette Freehold
£30,000
8 Jul 2008
12, QUEEN STREET, WITHERNSEA, EAST RIDING OF YORKSHIRE, HU19 2AP
Terraced Freehold
£59,500
28 Jan 2005 +61.0%
| Date Sold | Sale Price | Change |
|---|---|---|
| 28 Jan 2005 | £59,500 | +61.0% |
| 23 Dec 1998 | £36,950 |
22, QUEEN STREET, WITHERNSEA, EAST RIDING OF YORKSHIRE, HU19 2AP
Terraced Freehold
£25,325
24 Apr 2001
Data source: HM Land Registry Price Paid Data. Updated regularly. Crown copyright.
Crime Rates in HU19 2AP
There were 86 crimes reported in HU19 2AP during April 2026. The most common category was Violent Crime accounting for 43% of all incidents. Anti Social Behaviour was the next highest with 11 reports.
86
Total Crimes
Most Common
Violent Crime (37)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 37 | 43% | |
| Anti Social Behaviour | 11 | 13% | |
| Criminal Damage Arson | 10 | 12% | |
| Burglary | 8 | 9% | |
| Shoplifting | 7 | 8% | |
| Public Order | 6 | 7% | |
| Possession Of Weapons | 3 | 3% | |
| Other Theft | 2 | 2% | |
| Other | 2 | 2% |
Policing area: South East Holderness — Force website ↗
Data source: police.uk open data. Covers street-level crime and policing data for England, Wales and Northern Ireland.
Area Statistics for HU19 2AP
HU19 2AP is primarily a Owned Outright area with 37% of households in this category. The most common property type is Terraced (49%). The largest age group is 65-69 making up 12% of the local population.
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 51.3% | |
| One Person | 29.1% | |
| Three People | 12.0% | |
| Four People | 6.0% | |
| Five People | 0.9% | |
| 8+ People | 0.9% |
Household Deprivation
| Category | % | |
|---|---|---|
| Deprived In One Dimension | 33.6% | |
| Deprived In Two Dimension | 31.9% | |
| Not Deprived | 28.4% | |
| Deprived In Three Dimension | 6.0% |
Housing Types
| Category | % | |
|---|---|---|
| Terraced | 49.2% | |
| Semi-Detached | 37.3% | |
| Detached | 12.7% | |
| Flat (Converted) | 0.8% |
Housing Tenure
| Category | % | |
|---|---|---|
| Owned Outright | 37.4% | |
| Rented: From Council | 27.8% | |
| Owned with Mortgage | 18.3% | |
| Rented: Private Landlord | 15.7% | |
| Rented: Other | 0.9% |
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 70.4% | |
| 1 Person Household | 29.6% |
Age Groups
| Category | % | |
|---|---|---|
| 65-69 | 12.4% | |
| 70-74 | 9.5% | |
| 55-59 | 9.1% | |
| 75-79 | 9.1% | |
| 60-64 | 7.9% | |
| 35-39 | 7.1% | |
| 50-54 | 5.8% | |
| 5-9 | 4.6% | |
| 10-14 | 4.6% | |
| 45-49 | 4.1% | |
| 80-84 | 4.1% | |
| 30-34 | 3.7% | |
| 20-24 | 3.3% | |
| 85+ | 3.3% | |
| 0-4 | 2.9% | |
| 15-19 | 2.9% | |
| 25-29 | 2.9% | |
| 40-44 | 2.5% |
Health
| Category | % | |
|---|---|---|
| Good | 34.0% | |
| Very Good | 26.4% | |
| Fair | 21.3% | |
| Bad | 13.2% | |
| Very Bad | 5.1% |
Gender
| Category | % | |
|---|---|---|
| Female | 53.8% | |
| Male | 46.2% |
Education & Qualifications
| Category | % | |
|---|---|---|
| No GCSEs or Equivalent | 36.4% | |
| HNC, HND or 2+ A Levels | 15.5% | |
| Degree or above, or Similar | 12.6% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 12.6% | |
| 1-4 GCSEs or Equivalent | 11.7% | |
| Apprenticeship | 9.7% | |
| Other | 1.5% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 51.7% | |
| Single | 28.5% | |
| Divorced | 9.7% | |
| Widowed | 9.2% | |
| Separated | 1.0% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 99.2% | |
| Mixed | 0.4% | |
| Asian | 0.4% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 66.5% | |
| None | 33.5% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 97.9% | |
| 10+ Years | 2.1% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 99.2% | |
| Africa | 0.8% |
Religion
| Category | % | |
|---|---|---|
| No Religion | 52.1% | |
| Christian | 44.5% | |
| Not Started | 2.5% | |
| Jewish | 0.4% | |
| Other Religion | 0.4% |
Economic Activity
| Category | % | |
|---|---|---|
| Retired | 40.5% | |
| Full-Time Employee | 13.7% | |
| Part-Time Employee | 12.7% | |
| Long-Term Sick or Disabled | 12.2% | |
| Looking After Home or Family | 5.9% | |
| Self Employed (No Subordinates) | 4.9% | |
| Other | 2.9% | |
| Self Employed (With Subordinates) | 2.4% | |
| Unemployed | 2.4% | |
| Full-Time Student | 2.4% |
Occupation Group
| Category | % | |
|---|---|---|
| Caring, Leisure and Other Service Occupations | 17.8% | |
| Skilled Trades Occupations | 16.4% | |
| Elementary Occupations | 13.7% | |
| Process, Plant and Machine Operatives | 11.0% | |
| Sales and Customer Service Occupations | 9.6% | |
| Managers, Directors and Senior Officials | 8.2% | |
| Associate Professional Occupations | 8.2% | |
| Administrative and Secretarial Occupations | 8.2% | |
| Professional Occupations | 6.8% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Semi-Routine Occupation | 18.8% | |
| Routine Occupation | 17.9% | |
| Never Worked or Long-Term Unemployed | 16.9% | |
| Own Account Worker/Small Employer | 12.1% | |
| Supervisory, or Lower Managerial/Administrative/Professional | 9.7% | |
| Intermediate Occupation | 9.7% | |
| Lower Technical or Supervisory Occupation | 7.7% | |
| Large Employer or Higher Managerial/Professional | 4.3% | |
| Full-time Student | 2.9% |
Data source: Office for National Statistics (ONS) via Nomis. Based on Census 2021 data.
All data is sourced from official UK government and public sector datasets. Pilbe aggregates this data to help you make informed property decisions.