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Property Data for HU7 3AW
HULL, CITY OF KINGSTON UPON HULL — House prices, crime rates & area statistics
Avg. property price
£165,200
Based on 45 recent sales
Most common type
Semi-Detached
44% of properties
Crime level
Moderate
125 crimes reported in April 2026
Top crime type
Violent Crime
38 incidents (30% of total)
Main tenure type
Owned with Mortgage
77% of households
Largest age group
35-39
13% of residents
Recently sold here
See all sold prices →- 40, HYDE PARK ROAD, HULL, CITY OF KINGSTON UPON HULL, HU7 3AW Semi-Detached · Mar 2026 £180,000
- 90, HYDE PARK ROAD, HULL, CITY OF KINGSTON UPON HULL, HU7 3AW Detached · Jan 2026 £243,000
- 70, HYDE PARK ROAD, HULL, CITY OF KINGSTON UPON HULL, HU7 3AW Terraced · Aug 2025 £158,250
Explore HU7 3AW
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 3AW
There were 125 crimes reported in HU7 3AW during April 2026. The most common category was Violent Crime accounting for 30% of all incidents. Shoplifting was the next highest with 23 reports.
125
Total Crimes
Most Common
Violent Crime (38)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 38 | 30% | |
| Shoplifting | 23 | 18% | |
| Other Theft | 13 | 10% | |
| Public Order | 13 | 10% | |
| Anti Social Behaviour | 11 | 9% | |
| Criminal Damage Arson | 8 | 6% | |
| Burglary | 5 | 4% | |
| Vehicle Crime | 5 | 4% | |
| Bicycle Theft | 2 | 2% | |
| Drugs | 2 | 2% | |
| Possession Of Weapons | 2 | 2% | |
| Robbery | 2 | 2% | |
| Other | 1 | 1% |
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 3AW
HU7 3AW is primarily a Owned with Mortgage area with 77% of households in this category. The most common property type is Detached (40%). The largest age group is 35-39 making up 13% of the local population.
Housing Tenure
| Category | % | |
|---|---|---|
| Owned with Mortgage | 77.4% | |
| Owned Outright | 11.3% | |
| Rented: Private Landlord | 9.8% | |
| Rented: Other Social | 1.5% |
Housing Types
| Category | % | |
|---|---|---|
| Detached | 39.8% | |
| Semi-Detached | 30.8% | |
| Terraced | 29.3% |
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 75.9% | |
| 1 Person Household | 19.5% | |
| Other Household | 4.5% |
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 27.8% | |
| Four People | 24.1% | |
| Three People | 21.1% | |
| One Person | 19.5% | |
| Five People | 4.5% | |
| Six People | 1.5% | |
| Seven People | 0.8% | |
| 8+ People | 0.8% |
Household Deprivation
| Category | % | |
|---|---|---|
| Not Deprived | 73.7% | |
| Deprived In One Dimension | 22.6% | |
| Deprived In Two Dimension | 3.8% |
Age Groups
| Category | % | |
|---|---|---|
| 35-39 | 13.1% | |
| 30-34 | 12.3% | |
| 0-4 | 10.9% | |
| 5-9 | 10.9% | |
| 25-29 | 9.8% | |
| 40-44 | 8.7% | |
| 45-49 | 7.9% | |
| 10-14 | 6.0% | |
| 15-19 | 4.9% | |
| 20-24 | 4.9% | |
| 50-54 | 4.4% | |
| 55-59 | 3.0% | |
| 65-69 | 1.6% | |
| 60-64 | 1.1% | |
| 70-74 | 0.5% |
Gender
| Category | % | |
|---|---|---|
| Male | 52.0% | |
| Female | 48.0% |
Relationship Status
| Category | % | |
|---|---|---|
| Single | 47.5% | |
| Married | 40.2% | |
| Divorced | 8.8% | |
| Separated | 3.1% | |
| Widowed | 0.4% |
Education & Qualifications
| Category | % | |
|---|---|---|
| Degree or above, or Similar | 38.7% | |
| HNC, HND or 2+ A Levels | 21.1% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 17.2% | |
| No GCSEs or Equivalent | 9.6% | |
| Apprenticeship | 6.9% | |
| 1-4 GCSEs or Equivalent | 4.6% | |
| Other | 1.9% |
Health
| Category | % | |
|---|---|---|
| Very Good | 61.5% | |
| Good | 31.2% | |
| Fair | 6.0% | |
| Bad | 1.4% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 86.7% | |
| None | 12.7% | |
| Middle East | 0.5% |
Religion
| Category | % | |
|---|---|---|
| No Religion | 59.0% | |
| Christian | 31.8% | |
| Not Started | 7.6% | |
| Hindu | 0.8% | |
| Muslim | 0.8% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 91.3% | |
| 10+ Years | 4.9% | |
| 5-10 Years | 3.3% | |
| 2-5 Years | 0.5% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 96.2% | |
| Africa | 1.9% | |
| Middle East | 1.1% | |
| Antarctica | 0.8% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 92.4% | |
| Mixed | 4.6% | |
| Asian | 1.4% | |
| White | 0.8% | |
| Other | 0.8% |
Economic Activity
| Category | % | |
|---|---|---|
| Full-Time Employee | 60.9% | |
| Part-Time Employee | 19.9% | |
| Self Employed (No Subordinates) | 6.6% | |
| Full-Time Student | 6.3% | |
| Retired | 3.1% | |
| Looking After Home or Family | 2.0% | |
| Unemployed | 0.8% | |
| Self Employed (With Subordinates) | 0.4% |
Occupation Group
| Category | % | |
|---|---|---|
| Professional Occupations | 17.2% | |
| Managers, Directors and Senior Officials | 15.5% | |
| Associate Professional Occupations | 15.1% | |
| Caring, Leisure and Other Service Occupations | 12.1% | |
| Skilled Trades Occupations | 10.3% | |
| Administrative and Secretarial Occupations | 8.6% | |
| Process, Plant and Machine Operatives | 7.3% | |
| Elementary Occupations | 7.3% | |
| Sales and Customer Service Occupations | 6.5% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Supervisory, or Lower Managerial/Administrative/Professional | 28.1% | |
| Intermediate Occupation | 17.1% | |
| Large Employer or Higher Managerial/Professional | 11.8% | |
| Semi-Routine Occupation | 10.6% | |
| Routine Occupation | 9.1% | |
| Full-time Student | 8.0% | |
| Lower Technical or Supervisory Occupation | 7.2% | |
| Own Account Worker/Small Employer | 6.8% | |
| Never Worked or Long-Term Unemployed | 1.1% |
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.