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Property Data for HU17 7HD
BEVERLEY, EAST RIDING OF YORKSHIRE — House prices, crime rates & area statistics
Avg. property price
£172,345
Based on 10 recent sales
Most common type
Semi-Detached
80% of properties
Crime level
Moderate
150 crimes reported in April 2026
Top crime type
Violent Crime
46 incidents (31% of total)
Main tenure type
Owned Outright
53% of households
Largest age group
60-64
12% of residents
Recently sold here
See all sold prices →- 16, EDEN ROAD, BEVERLEY, EAST RIDING OF YORKSHIRE, HU17 7HD Semi-Detached · Mar 2026 £205,000
- EYECOHOME, EDEN ROAD, BEVERLEY, EAST RIDING OF YORKSHIRE, HU17 7HD Detached · Feb 2023 £310,000
- 3, EDEN ROAD, BEVERLEY, EAST RIDING OF YORKSHIRE, HU17 7HD Semi-Detached · Dec 2022 £210,000
Explore HU17 7HD
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 HU17 7HD
There were 150 crimes reported in HU17 7HD during April 2026. The most common category was Violent Crime accounting for 31% of all incidents. Shoplifting was the next highest with 41 reports.
150
Total Crimes
Most Common
Violent Crime (46)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 46 | 31% | |
| Shoplifting | 41 | 27% | |
| Criminal Damage Arson | 14 | 9% | |
| Public Order | 13 | 9% | |
| Anti Social Behaviour | 11 | 7% | |
| Other Theft | 9 | 6% | |
| Burglary | 5 | 3% | |
| Other Crime | 5 | 3% | |
| Drugs | 3 | 2% | |
| Other | 3 | 2% |
Policing area: St Mary's — Force website ↗
Data source: police.uk open data. Covers street-level crime and policing data for England, Wales and Northern Ireland.
Area Statistics for HU17 7HD
HU17 7HD is primarily a Owned Outright area with 53% of households in this category. The most common property type is Semi-Detached (40%). The largest age group is 60-64 making up 12% of the local population.
Housing Tenure
| Category | % | |
|---|---|---|
| Owned Outright | 53.3% | |
| Owned with Mortgage | 26.3% | |
| Rented: Private Landlord | 11.7% | |
| Rented: Other | 7.3% | |
| Rented: From Council | 0.7% | |
| Rented: Other Social | 0.7% |
Household Deprivation
| Category | % | |
|---|---|---|
| Not Deprived | 60.9% | |
| Deprived In One Dimension | 30.1% | |
| Deprived In Two Dimension | 8.3% | |
| Deprived In Three Dimension | 0.8% |
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 44.0% | |
| One Person | 34.3% | |
| Three People | 7.5% | |
| Four People | 7.5% | |
| Five People | 6.7% |
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 61.4% | |
| 1 Person Household | 34.8% | |
| Other Household | 3.8% |
Housing Types
| Category | % | |
|---|---|---|
| Semi-Detached | 40.0% | |
| Detached | 37.8% | |
| Terraced | 14.1% | |
| Flat (Converted) | 6.7% | |
| Flat (Purpose-Built) | 1.5% |
Age Groups
| Category | % | |
|---|---|---|
| 60-64 | 12.1% | |
| 50-54 | 11.0% | |
| 70-74 | 8.9% | |
| 55-59 | 7.1% | |
| 85+ | 7.1% | |
| 10-14 | 6.4% | |
| 45-49 | 6.4% | |
| 65-69 | 6.4% | |
| 40-44 | 5.0% | |
| 75-79 | 5.0% | |
| 15-19 | 4.3% | |
| 80-84 | 4.3% | |
| 5-9 | 3.9% | |
| 20-24 | 3.5% | |
| 25-29 | 2.8% | |
| 35-39 | 2.5% | |
| 0-4 | 1.8% | |
| 30-34 | 1.8% |
Gender
| Category | % | |
|---|---|---|
| Female | 50.5% | |
| Male | 49.5% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 60.3% | |
| Single | 24.7% | |
| Widowed | 8.5% | |
| Divorced | 5.7% | |
| Separated | 0.8% |
Health
| Category | % | |
|---|---|---|
| Very Good | 56.2% | |
| Good | 29.3% | |
| Fair | 10.6% | |
| Bad | 3.5% | |
| Very Bad | 0.4% |
Education & Qualifications
| Category | % | |
|---|---|---|
| Degree or above, or Similar | 47.1% | |
| HNC, HND or 2+ A Levels | 18.9% | |
| No GCSEs or Equivalent | 12.3% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 9.4% | |
| Apprenticeship | 4.9% | |
| 1-4 GCSEs or Equivalent | 3.7% | |
| Other | 3.7% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 98.9% | |
| White | 0.7% | |
| Asian | 0.4% |
Religion
| Category | % | |
|---|---|---|
| Christian | 68.6% | |
| No Religion | 22.6% | |
| Not Started | 8.1% | |
| Jewish | 0.4% | |
| Muslim | 0.4% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 98.6% | |
| Middle East | 1.4% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 95.8% | |
| 10+ Years | 4.2% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 92.8% | |
| None | 7.2% |
Occupation Group
| Category | % | |
|---|---|---|
| Professional Occupations | 27.1% | |
| Managers, Directors and Senior Officials | 23.7% | |
| Associate Professional Occupations | 13.6% | |
| Administrative and Secretarial Occupations | 10.2% | |
| Skilled Trades Occupations | 8.5% | |
| Caring, Leisure and Other Service Occupations | 6.8% | |
| Elementary Occupations | 5.1% | |
| Sales and Customer Service Occupations | 4.2% | |
| Process, Plant and Machine Operatives | 0.8% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Supervisory, or Lower Managerial/Administrative/Professional | 26.4% | |
| Large Employer or Higher Managerial/Professional | 20.3% | |
| Own Account Worker/Small Employer | 13.8% | |
| Intermediate Occupation | 12.2% | |
| Routine Occupation | 7.3% | |
| Never Worked or Long-Term Unemployed | 6.9% | |
| Lower Technical or Supervisory Occupation | 4.5% | |
| Semi-Routine Occupation | 4.5% | |
| Full-time Student | 4.1% |
Economic Activity
| Category | % | |
|---|---|---|
| Retired | 38.8% | |
| Full-Time Employee | 25.6% | |
| Part-Time Employee | 11.2% | |
| Self Employed (No Subordinates) | 7.4% | |
| Looking After Home or Family | 3.7% | |
| Self Employed (With Subordinates) | 3.3% | |
| Unemployed | 2.9% | |
| Full-Time Student | 2.9% | |
| Long-Term Sick or Disabled | 2.5% | |
| Other | 1.7% |
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.