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Property Data for HU17 8NS
BEVERLEY, EAST RIDING OF YORKSHIRE — House prices, crime rates & area statistics
Avg. property price
£139,537
Based on 13 recent sales
Most common type
Detached
92% of properties
Crime level
Moderate
135 crimes reported in April 2026
Top crime type
Violent Crime
42 incidents (31% of total)
Main tenure type
Owned Outright
66% of households
Largest age group
70-74
14% of residents
Recently sold here
See all sold prices →- 2, NURSERY GARDENS, BEVERLEY, EAST RIDING OF YORKSHIRE, HU17 8NS Detached · Jan 2020 £206,500
- 8, NURSERY GARDENS, BEVERLEY, EAST RIDING OF YORKSHIRE, HU17 8NS Detached · Nov 2018 £230,000
- 18, NURSERY GARDENS, BEVERLEY, EAST RIDING OF YORKSHIRE, HU17 8NS Detached · Jun 2017 £280,000
Explore HU17 8NS
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 8NS
There were 135 crimes reported in HU17 8NS during April 2026. The most common category was Violent Crime accounting for 31% of all incidents. Shoplifting was the next highest with 38 reports.
135
Total Crimes
Most Common
Violent Crime (42)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 42 | 31% | |
| Shoplifting | 38 | 28% | |
| Other Theft | 11 | 8% | |
| Public Order | 11 | 8% | |
| Anti Social Behaviour | 10 | 7% | |
| Criminal Damage Arson | 9 | 7% | |
| Vehicle Crime | 4 | 3% | |
| Burglary | 3 | 2% | |
| Other Crime | 3 | 2% | |
| Other | 4 | 3% |
Policing area: Minster and Woodmansey — 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 8NS
HU17 8NS is primarily a Owned Outright area with 66% of households in this category. The most common property type is Detached (86%). The largest age group is 70-74 making up 14% of the local population.
Housing Tenure
| Category | % | |
|---|---|---|
| Owned Outright | 66.1% | |
| Owned with Mortgage | 22.0% | |
| Rented: Private Landlord | 8.3% | |
| Rented: Other Social | 2.8% | |
| Rented: Other | 0.9% |
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 64.2% | |
| 1 Person Household | 33.0% | |
| Other Household | 2.8% |
Housing Types
| Category | % | |
|---|---|---|
| Detached | 86.2% | |
| Terraced | 7.3% | |
| Semi-Detached | 6.4% |
Household Deprivation
| Category | % | |
|---|---|---|
| Not Deprived | 57.8% | |
| Deprived In One Dimension | 35.8% | |
| Deprived In Two Dimension | 6.4% |
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 44.0% | |
| One Person | 33.0% | |
| Three People | 12.8% | |
| Four People | 8.3% | |
| Five People | 1.8% |
Education & Qualifications
| Category | % | |
|---|---|---|
| Degree or above, or Similar | 39.9% | |
| No GCSEs or Equivalent | 17.7% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 14.6% | |
| HNC, HND or 2+ A Levels | 12.6% | |
| Apprenticeship | 6.1% | |
| 1-4 GCSEs or Equivalent | 6.1% | |
| Other | 3.0% |
Health
| Category | % | |
|---|---|---|
| Very Good | 47.3% | |
| Good | 31.8% | |
| Fair | 19.1% | |
| Bad | 1.4% | |
| Very Bad | 0.5% |
Gender
| Category | % | |
|---|---|---|
| Female | 51.8% | |
| Male | 48.2% |
Age Groups
| Category | % | |
|---|---|---|
| 70-74 | 13.7% | |
| 60-64 | 10.5% | |
| 75-79 | 10.5% | |
| 65-69 | 9.1% | |
| 55-59 | 7.3% | |
| 85+ | 7.3% | |
| 5-9 | 5.0% | |
| 50-54 | 5.0% | |
| 80-84 | 5.0% | |
| 35-39 | 4.6% | |
| 15-19 | 4.1% | |
| 20-24 | 4.1% | |
| 30-34 | 3.7% | |
| 0-4 | 2.7% | |
| 45-49 | 2.7% | |
| 40-44 | 2.3% | |
| 10-14 | 1.8% | |
| 25-29 | 0.5% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 56.1% | |
| Single | 22.7% | |
| Widowed | 12.6% | |
| Divorced | 8.1% | |
| Separated | 0.5% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 92.7% | |
| White | 3.2% | |
| Mixed | 1.8% | |
| Other | 1.4% | |
| Asian | 0.9% |
Religion
| Category | % | |
|---|---|---|
| Christian | 62.7% | |
| No Religion | 30.0% | |
| Not Started | 3.7% | |
| Muslim | 3.2% | |
| Other Religion | 0.5% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 96.8% | |
| Africa | 1.8% | |
| Middle East | 1.4% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 84.2% | |
| None | 14.9% | |
| Africa | 0.9% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 94.1% | |
| 10+ Years | 3.2% | |
| 5-10 Years | 1.8% | |
| 2-5 Years | 0.9% |
Occupation Group
| Category | % | |
|---|---|---|
| Professional Occupations | 31.2% | |
| Managers, Directors and Senior Officials | 13.0% | |
| Administrative and Secretarial Occupations | 13.0% | |
| Associate Professional Occupations | 11.7% | |
| Sales and Customer Service Occupations | 9.1% | |
| Caring, Leisure and Other Service Occupations | 6.5% | |
| Skilled Trades Occupations | 5.2% | |
| Process, Plant and Machine Operatives | 5.2% | |
| Elementary Occupations | 5.2% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Supervisory, or Lower Managerial/Administrative/Professional | 28.9% | |
| Large Employer or Higher Managerial/Professional | 14.9% | |
| Intermediate Occupation | 12.9% | |
| Routine Occupation | 12.9% | |
| Semi-Routine Occupation | 8.8% | |
| Own Account Worker/Small Employer | 6.7% | |
| Never Worked or Long-Term Unemployed | 6.7% | |
| Full-time Student | 5.2% | |
| Lower Technical or Supervisory Occupation | 3.1% |
Economic Activity
| Category | % | |
|---|---|---|
| Retired | 50.5% | |
| Full-Time Employee | 23.7% | |
| Part-Time Employee | 8.4% | |
| Self Employed (No Subordinates) | 4.7% | |
| Full-Time Student | 4.2% | |
| Looking After Home or Family | 3.2% | |
| Unemployed | 2.6% | |
| Other | 2.1% | |
| Self Employed (With Subordinates) | 0.5% |
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.