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Property Data for HU7 3ET
HULL, CITY OF KINGSTON UPON HULL — House prices, crime rates & area statistics
Avg. property price
£113,710
Based on 55 recent sales
Most common type
Semi-Detached
56% of properties
Crime level
Moderate
290 crimes reported in April 2026
Top crime type
Violent Crime
111 incidents (38% of total)
Main tenure type
Owned with Mortgage
48% of households
Largest age group
55-59
12% of residents
Recently sold here
See all sold prices →- 18, HEMBLE WAY, HULL, CITY OF KINGSTON UPON HULL, HU7 3ET Semi-Detached · Mar 2025 £100,000
- 25, HEMBLE WAY, HULL, CITY OF KINGSTON UPON HULL, HU7 3ET Semi-Detached · Mar 2025 £145,000
- 9, HEMBLE WAY, HULL, CITY OF KINGSTON UPON HULL, HU7 3ET Detached · Dec 2024 £170,000
Explore HU7 3ET
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 HU7 3ET
There were 290 crimes reported in HU7 3ET during April 2026. The most common category was Violent Crime accounting for 38% of all incidents. Shoplifting was the next highest with 32 reports.
290
Total Crimes
Most Common
Violent Crime (111)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 111 | 38% | |
| Shoplifting | 32 | 11% | |
| Public Order | 27 | 9% | |
| Anti Social Behaviour | 23 | 8% | |
| Criminal Damage Arson | 21 | 7% | |
| Other Theft | 19 | 7% | |
| Burglary | 16 | 6% | |
| Other Crime | 12 | 4% | |
| Vehicle Crime | 11 | 4% | |
| Drugs | 5 | 2% | |
| Robbery | 5 | 2% | |
| Other | 8 | 3% |
Policing area: Kingswood — Force website ↗
Data source: police.uk open data. Covers street-level crime and policing data for England, Wales and Northern Ireland.
Area Statistics for HU7 3ET
HU7 3ET is primarily a Owned with Mortgage area with 48% of households in this category. The most common property type is Semi-Detached (51%). The largest age group is 55-59 making up 12% of the local population.
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 75.5% | |
| 1 Person Household | 23.6% | |
| Other Household | 0.9% |
Housing Tenure
| Category | % | |
|---|---|---|
| Owned with Mortgage | 48.1% | |
| Owned Outright | 37.0% | |
| Rented: Private Landlord | 13.9% | |
| Rented: Other | 0.9% |
Household Deprivation
| Category | % | |
|---|---|---|
| Not Deprived | 50.0% | |
| Deprived In One Dimension | 32.4% | |
| Deprived In Two Dimension | 16.7% | |
| Deprived In Three Dimension | 0.9% |
Housing Types
| Category | % | |
|---|---|---|
| Semi-Detached | 50.9% | |
| Detached | 49.1% |
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 41.1% | |
| One Person | 24.3% | |
| Three People | 23.4% | |
| Four People | 7.5% | |
| Five People | 3.7% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 52.9% | |
| Single | 32.8% | |
| Divorced | 7.4% | |
| Widowed | 6.4% | |
| Separated | 0.5% |
Gender
| Category | % | |
|---|---|---|
| Male | 52.8% | |
| Female | 47.2% |
Health
| Category | % | |
|---|---|---|
| Very Good | 50.8% | |
| Good | 30.1% | |
| Fair | 13.4% | |
| Bad | 4.1% | |
| Very Bad | 1.6% |
Education & Qualifications
| Category | % | |
|---|---|---|
| Degree or above, or Similar | 28.1% | |
| HNC, HND or 2+ A Levels | 16.3% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 14.3% | |
| 1-4 GCSEs or Equivalent | 14.3% | |
| No GCSEs or Equivalent | 14.3% | |
| Apprenticeship | 9.4% | |
| Other | 3.4% |
Age Groups
| Category | % | |
|---|---|---|
| 55-59 | 11.6% | |
| 30-34 | 9.5% | |
| 50-54 | 9.5% | |
| 60-64 | 8.3% | |
| 70-74 | 7.4% | |
| 35-39 | 6.6% | |
| 5-9 | 6.2% | |
| 0-4 | 5.8% | |
| 25-29 | 5.4% | |
| 45-49 | 5.4% | |
| 20-24 | 5.0% | |
| 40-44 | 4.5% | |
| 10-14 | 4.1% | |
| 75-79 | 4.1% | |
| 15-19 | 2.9% | |
| 65-69 | 2.1% | |
| 85+ | 1.2% | |
| 80-84 | 0.4% |
Religion
| Category | % | |
|---|---|---|
| No Religion | 47.2% | |
| Christian | 47.2% | |
| Not Started | 5.3% | |
| Buddhist | 0.4% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 83.2% | |
| None | 16.0% | |
| Middle East | 0.4% | |
| The Americas | 0.4% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 95.9% | |
| 10+ Years | 3.3% | |
| 5-10 Years | 0.4% | |
| 2-5 Years | 0.4% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 99.2% | |
| Middle East | 0.8% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 97.6% | |
| White | 1.2% | |
| Mixed | 0.4% | |
| Asian | 0.4% | |
| Other | 0.4% |
Occupation Group
| Category | % | |
|---|---|---|
| Professional Occupations | 24.6% | |
| Associate Professional Occupations | 12.3% | |
| Managers, Directors and Senior Officials | 11.6% | |
| Skilled Trades Occupations | 11.6% | |
| Sales and Customer Service Occupations | 9.4% | |
| Process, Plant and Machine Operatives | 9.4% | |
| Elementary Occupations | 8.0% | |
| Caring, Leisure and Other Service Occupations | 7.2% | |
| Administrative and Secretarial Occupations | 5.8% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Supervisory, or Lower Managerial/Administrative/Professional | 24.4% | |
| Semi-Routine Occupation | 17.7% | |
| Intermediate Occupation | 11.5% | |
| Routine Occupation | 11.5% | |
| Large Employer or Higher Managerial/Professional | 11.0% | |
| Lower Technical or Supervisory Occupation | 7.7% | |
| Never Worked or Long-Term Unemployed | 6.7% | |
| Own Account Worker/Small Employer | 5.7% | |
| Full-time Student | 3.8% |
Economic Activity
| Category | % | |
|---|---|---|
| Full-Time Employee | 47.8% | |
| Retired | 22.4% | |
| Part-Time Employee | 13.9% | |
| Self Employed (No Subordinates) | 4.5% | |
| Unemployed | 2.5% | |
| Full-Time Student | 2.5% | |
| Long-Term Sick or Disabled | 2.5% | |
| Looking After Home or Family | 1.5% | |
| Other | 1.5% | |
| Self Employed (With Subordinates) | 1.0% |
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.