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Property Data for HU10 6JL
HULL, EAST RIDING OF YORKSHIRE — House prices, crime rates & area statistics
Avg. property price
£163,950
Based on 11 recent sales
Most common type
Semi-Detached
100% of properties
Crime level
Moderate
135 crimes reported in April 2026
Top crime type
Shoplifting
42 incidents (31% of total)
Main tenure type
Owned Outright
50% of households
Largest age group
45-49
8% of residents
Recently sold here
See all sold prices →- 3, WILLOW COURT, HULL, EAST RIDING OF YORKSHIRE, HU10 6JL Semi-Detached · Mar 2026 £240,000
- 15, WILLOW COURT, HULL, EAST RIDING OF YORKSHIRE, HU10 6JL Semi-Detached · Aug 2025 £212,000
- 11, WILLOW COURT, HULL, EAST RIDING OF YORKSHIRE, HU10 6JL Semi-Detached · Jan 2020 £185,000
Explore HU10 6JL
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 HU10 6JL
There were 135 crimes reported in HU10 6JL during April 2026. The most common category was Shoplifting accounting for 31% of all incidents. Violent Crime was the next highest with 23 reports.
135
Total Crimes
Most Common
Shoplifting (42)
| Category | Count | % | |
|---|---|---|---|
| Shoplifting | 42 | 31% | |
| Violent Crime | 23 | 17% | |
| Anti Social Behaviour | 17 | 13% | |
| Criminal Damage Arson | 16 | 12% | |
| Vehicle Crime | 15 | 11% | |
| Public Order | 8 | 6% | |
| Other Theft | 5 | 4% | |
| Other Crime | 4 | 3% | |
| Other | 5 | 4% |
Policing area: Willerby and Kirkella — Force website ↗
Data source: police.uk open data. Covers street-level crime and policing data for England, Wales and Northern Ireland.
Area Statistics for HU10 6JL
HU10 6JL is primarily a Owned Outright area with 50% of households in this category. The most common property type is Semi-Detached (39%). The largest age group is 45-49 making up 8% of the local population.
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 38.2% | |
| One Person | 25.0% | |
| Four People | 19.1% | |
| Three People | 12.5% | |
| Five People | 2.9% | |
| Six People | 2.2% |
Housing Types
| Category | % | |
|---|---|---|
| Semi-Detached | 38.6% | |
| Detached | 37.9% | |
| Terraced | 23.6% |
Housing Tenure
| Category | % | |
|---|---|---|
| Owned Outright | 50.4% | |
| Owned with Mortgage | 41.0% | |
| Rented: Private Landlord | 2.9% | |
| Rented: Other | 2.9% | |
| Rented: Other Social | 1.4% | |
| Shared Ownership | 0.7% | |
| Rented: From Council | 0.7% |
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 75.4% | |
| 1 Person Household | 24.6% |
Household Deprivation
| Category | % | |
|---|---|---|
| Not Deprived | 58.7% | |
| Deprived In One Dimension | 31.2% | |
| Deprived In Two Dimension | 10.1% |
Education & Qualifications
| Category | % | |
|---|---|---|
| Degree or above, or Similar | 30.7% | |
| HNC, HND or 2+ A Levels | 17.0% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 16.2% | |
| 1-4 GCSEs or Equivalent | 11.6% | |
| No GCSEs or Equivalent | 11.2% | |
| Apprenticeship | 9.4% | |
| Other | 4.0% |
Health
| Category | % | |
|---|---|---|
| Very Good | 52.7% | |
| Good | 34.3% | |
| Fair | 8.6% | |
| Bad | 3.6% | |
| Very Bad | 0.9% |
Gender
| Category | % | |
|---|---|---|
| Male | 52.5% | |
| Female | 47.5% |
Age Groups
| Category | % | |
|---|---|---|
| 45-49 | 8.3% | |
| 50-54 | 8.0% | |
| 60-64 | 7.7% | |
| 55-59 | 7.4% | |
| 65-69 | 7.4% | |
| 15-19 | 7.1% | |
| 10-14 | 6.8% | |
| 40-44 | 6.3% | |
| 5-9 | 5.7% | |
| 20-24 | 5.1% | |
| 70-74 | 4.8% | |
| 25-29 | 4.5% | |
| 30-34 | 4.5% | |
| 80-84 | 4.2% | |
| 75-79 | 3.9% | |
| 35-39 | 3.0% | |
| 0-4 | 2.7% | |
| 85+ | 2.7% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 53.8% | |
| Single | 26.9% | |
| Divorced | 9.3% | |
| Widowed | 8.6% | |
| Separated | 1.4% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 90.8% | |
| None | 7.7% | |
| The Americas | 1.2% | |
| Middle East | 0.3% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 98.8% | |
| The Americas | 0.6% | |
| Africa | 0.3% | |
| Middle East | 0.3% |
Religion
| Category | % | |
|---|---|---|
| No Religion | 49.0% | |
| Christian | 44.8% | |
| Not Started | 5.6% | |
| Buddhist | 0.3% | |
| Other Religion | 0.3% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 98.8% | |
| Asian | 0.6% | |
| White | 0.3% | |
| Mixed | 0.3% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 98.8% | |
| 10+ Years | 1.2% |
Economic Activity
| Category | % | |
|---|---|---|
| Full-Time Employee | 32.6% | |
| Retired | 31.1% | |
| Part-Time Employee | 13.2% | |
| Self Employed (No Subordinates) | 8.1% | |
| Full-Time Student | 4.4% | |
| Looking After Home or Family | 4.0% | |
| Unemployed | 3.3% | |
| Long-Term Sick or Disabled | 1.5% | |
| Other | 1.1% | |
| Self Employed (With Subordinates) | 0.7% |
Occupation Group
| Category | % | |
|---|---|---|
| Professional Occupations | 22.2% | |
| Skilled Trades Occupations | 17.0% | |
| Managers, Directors and Senior Officials | 15.7% | |
| Caring, Leisure and Other Service Occupations | 11.1% | |
| Associate Professional Occupations | 9.2% | |
| Administrative and Secretarial Occupations | 7.2% | |
| Elementary Occupations | 7.2% | |
| Process, Plant and Machine Operatives | 5.9% | |
| Sales and Customer Service Occupations | 4.6% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Supervisory, or Lower Managerial/Administrative/Professional | 25.1% | |
| Semi-Routine Occupation | 12.9% | |
| Intermediate Occupation | 11.8% | |
| Large Employer or Higher Managerial/Professional | 11.5% | |
| Own Account Worker/Small Employer | 10.4% | |
| Routine Occupation | 9.0% | |
| Lower Technical or Supervisory Occupation | 7.5% | |
| Never Worked or Long-Term Unemployed | 6.1% | |
| Full-time Student | 5.7% |
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.