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Property Data for HU19 2DW
WITHERNSEA, EAST RIDING OF YORKSHIRE — House prices, crime rates & area statistics
Avg. property price
£121,854
Based on 24 recent sales
Most common type
Terraced
83% of properties
Crime level
Low
87 crimes reported in April 2026
Top crime type
Violent Crime
38 incidents (44% of total)
Main tenure type
Owned Outright
43% of households
Largest age group
60-64
9% of residents
Recently sold here
See all sold prices →- 34, THE PROMENADE, WITHERNSEA, EAST RIDING OF YORKSHIRE, HU19 2DW Terraced · Nov 2025 £135,000
- 38, THE PROMENADE, WITHERNSEA, EAST RIDING OF YORKSHIRE, HU19 2DW Other · Jul 2024 £150,000
- 40, THE PROMENADE, WITHERNSEA, EAST RIDING OF YORKSHIRE, HU19 2DW Terraced · Jul 2024 £280,000
Explore HU19 2DW
Homes for sale
What's on the market in and around this postcode.
Homes to rent
Rentals available nearby, nearest first.
House prices
Average prices, trends and a breakdown by type.
Sold prices
Every recorded Land Registry sale here.
New builds
The newest homes listed near this postcode.
Letting agents
Agencies that cover this area.
Crime Rates in HU19 2DW
There were 87 crimes reported in HU19 2DW during April 2026. The most common category was Violent Crime accounting for 44% of all incidents. Anti Social Behaviour was the next highest with 11 reports.
87
Total Crimes
Most Common
Violent Crime (38)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 38 | 44% | |
| Anti Social Behaviour | 11 | 13% | |
| Criminal Damage Arson | 10 | 11% | |
| 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 2DW
HU19 2DW is primarily a Owned Outright area with 43% of households in this category. The most common property type is Terraced (66%). The largest age group is 60-64 making up 9% of the local population.
Housing Tenure
| Category | % | |
|---|---|---|
| Owned Outright | 43.3% | |
| Rented: Private Landlord | 30.0% | |
| Owned with Mortgage | 16.7% | |
| Rented: From Council | 5.8% | |
| Rented: Other | 2.5% | |
| Shared Ownership | 1.7% |
Housing Types
| Category | % | |
|---|---|---|
| Terraced | 66.4% | |
| Flat (Converted) | 12.6% | |
| Semi-Detached | 10.1% | |
| Flat (Purpose-Built) | 8.4% | |
| Detached | 1.7% | |
| Residence in Commercial Building | 0.8% |
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 63.1% | |
| 1 Person Household | 32.8% | |
| Other Household | 4.1% |
Household Deprivation
| Category | % | |
|---|---|---|
| Deprived In One Dimension | 50.4% | |
| Not Deprived | 29.8% | |
| Deprived In Two Dimension | 14.9% | |
| Deprived In Three Dimension | 5.0% |
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 43.0% | |
| One Person | 33.1% | |
| Three People | 13.2% | |
| Four People | 9.1% | |
| Five People | 0.8% | |
| Six People | 0.8% |
Education & Qualifications
| Category | % | |
|---|---|---|
| No GCSEs or Equivalent | 23.0% | |
| HNC, HND or 2+ A Levels | 18.9% | |
| Degree or above, or Similar | 18.4% | |
| 1-4 GCSEs or Equivalent | 18.0% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 14.3% | |
| Apprenticeship | 4.6% | |
| Other | 2.8% |
Health
| Category | % | |
|---|---|---|
| Good | 43.1% | |
| Very Good | 28.6% | |
| Fair | 19.0% | |
| Bad | 6.9% | |
| Very Bad | 2.4% |
Gender
| Category | % | |
|---|---|---|
| Female | 51.2% | |
| Male | 48.8% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 45.8% | |
| Single | 30.1% | |
| Divorced | 11.6% | |
| Widowed | 9.7% | |
| Separated | 2.8% |
Age Groups
| Category | % | |
|---|---|---|
| 60-64 | 9.2% | |
| 70-74 | 9.2% | |
| 50-54 | 8.8% | |
| 55-59 | 8.8% | |
| 65-69 | 8.0% | |
| 20-24 | 6.8% | |
| 75-79 | 6.0% | |
| 25-29 | 5.6% | |
| 0-4 | 5.2% | |
| 40-44 | 4.8% | |
| 45-49 | 4.8% | |
| 10-14 | 4.4% | |
| 15-19 | 4.0% | |
| 30-34 | 4.0% | |
| 35-39 | 3.2% | |
| 80-84 | 3.2% | |
| 5-9 | 2.8% | |
| 85+ | 1.2% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 99.6% | |
| Asian | 0.4% |
Religion
| Category | % | |
|---|---|---|
| Christian | 52.8% | |
| No Religion | 39.4% | |
| Not Started | 6.9% | |
| Other Religion | 0.8% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 67.7% | |
| None | 32.3% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 98.4% | |
| 10+ Years | 1.2% | |
| 2-5 Years | 0.4% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 100.0% |
Economic Activity
| Category | % | |
|---|---|---|
| Retired | 29.8% | |
| Full-Time Employee | 20.5% | |
| Self Employed (No Subordinates) | 12.6% | |
| Part-Time Employee | 11.6% | |
| Looking After Home or Family | 6.5% | |
| Long-Term Sick or Disabled | 6.0% | |
| Other | 5.6% | |
| Unemployed | 4.7% | |
| Full-Time Student | 2.8% |
Occupation Group
| Category | % | |
|---|---|---|
| Skilled Trades Occupations | 25.0% | |
| Caring, Leisure and Other Service Occupations | 21.7% | |
| Managers, Directors and Senior Officials | 15.2% | |
| Associate Professional Occupations | 9.8% | |
| Elementary Occupations | 9.8% | |
| Sales and Customer Service Occupations | 6.5% | |
| Administrative and Secretarial Occupations | 5.4% | |
| Professional Occupations | 4.3% | |
| Process, Plant and Machine Operatives | 2.2% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Routine Occupation | 20.8% | |
| Semi-Routine Occupation | 16.2% | |
| Own Account Worker/Small Employer | 15.3% | |
| Supervisory, or Lower Managerial/Administrative/Professional | 13.0% | |
| Never Worked or Long-Term Unemployed | 12.0% | |
| Intermediate Occupation | 9.3% | |
| Large Employer or Higher Managerial/Professional | 5.6% | |
| Lower Technical or Supervisory Occupation | 5.6% | |
| Full-time Student | 2.3% |
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.