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Property Data for HU7 4AY
HULL, CITY OF KINGSTON UPON HULL — House prices, crime rates & area statistics
Avg. property price
£107,752
Based on 38 recent sales
Most common type
Semi-Detached
74% of properties
Crime level
Average
323 crimes reported in April 2026
Top crime type
Violent Crime
109 incidents (34% of total)
Main tenure type
Owned Outright
50% of households
Largest age group
35-39
9% of residents
Recently sold here
See all sold prices →- 71, GRIZEDALE, HULL, CITY OF KINGSTON UPON HULL, HU7 4AY Semi-Detached · Apr 2026 £138,000
- 101, GRIZEDALE, HULL, CITY OF KINGSTON UPON HULL, HU7 4AY Terraced · Dec 2025 £145,000
- 39, GRIZEDALE, HULL, CITY OF KINGSTON UPON HULL, HU7 4AY Terraced · Oct 2025 £155,000
Explore HU7 4AY
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 4AY
There were 323 crimes reported in HU7 4AY during April 2026. The most common category was Violent Crime accounting for 34% of all incidents. Shoplifting was the next highest with 64 reports.
323
Total Crimes
Most Common
Violent Crime (109)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 109 | 34% | |
| Shoplifting | 64 | 20% | |
| Criminal Damage Arson | 31 | 10% | |
| Other Theft | 23 | 7% | |
| Anti Social Behaviour | 21 | 7% | |
| Burglary | 18 | 6% | |
| Public Order | 18 | 6% | |
| Other Crime | 10 | 3% | |
| Bicycle Theft | 8 | 2% | |
| Vehicle Crime | 8 | 2% | |
| Drugs | 5 | 2% | |
| Robbery | 5 | 2% | |
| Other | 3 | 1% |
Policing area: West Carr — 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 4AY
HU7 4AY is primarily a Owned Outright area with 50% of households in this category. The most common property type is Semi-Detached (61%). The largest age group is 35-39 making up 9% of the local population.
Housing Tenure
| Category | % | |
|---|---|---|
| Owned Outright | 50.5% | |
| Owned with Mortgage | 37.8% | |
| Rented: Private Landlord | 11.7% |
Housing Types
| Category | % | |
|---|---|---|
| Semi-Detached | 60.7% | |
| Terraced | 32.1% | |
| Detached | 6.3% | |
| Flat (Purpose-Built) | 0.9% |
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 71.2% | |
| 1 Person Household | 24.3% | |
| Other Household | 4.5% |
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 40.5% | |
| One Person | 24.3% | |
| Three People | 16.2% | |
| Four People | 15.3% | |
| Five People | 3.6% |
Household Deprivation
| Category | % | |
|---|---|---|
| Not Deprived | 51.8% | |
| Deprived In One Dimension | 33.0% | |
| Deprived In Two Dimension | 13.4% | |
| Deprived In Three Dimension | 1.8% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 46.4% | |
| Single | 36.6% | |
| Divorced | 9.8% | |
| Widowed | 7.1% |
Health
| Category | % | |
|---|---|---|
| Very Good | 43.1% | |
| Good | 35.8% | |
| Fair | 17.3% | |
| Bad | 1.9% | |
| Very Bad | 1.9% |
Gender
| Category | % | |
|---|---|---|
| Female | 52.5% | |
| Male | 47.5% |
Education & Qualifications
| Category | % | |
|---|---|---|
| HNC, HND or 2+ A Levels | 19.6% | |
| Degree or above, or Similar | 19.1% | |
| No GCSEs or Equivalent | 16.9% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 16.4% | |
| 1-4 GCSEs or Equivalent | 15.1% | |
| Apprenticeship | 9.8% | |
| Other | 3.1% |
Age Groups
| Category | % | |
|---|---|---|
| 35-39 | 9.2% | |
| 65-69 | 9.2% | |
| 60-64 | 7.6% | |
| 40-44 | 6.9% | |
| 20-24 | 6.5% | |
| 55-59 | 6.5% | |
| 70-74 | 6.5% | |
| 10-14 | 5.7% | |
| 80-84 | 5.3% | |
| 5-9 | 4.6% | |
| 45-49 | 4.6% | |
| 25-29 | 4.2% | |
| 30-34 | 4.2% | |
| 50-54 | 4.2% | |
| 85+ | 4.2% | |
| 15-19 | 3.8% | |
| 0-4 | 3.4% | |
| 75-79 | 3.4% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 99.2% | |
| Middle East | 0.8% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 98.8% | |
| White | 0.8% | |
| Other | 0.4% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 95.4% | |
| 10+ Years | 2.3% | |
| 5-10 Years | 1.2% | |
| 2-5 Years | 1.2% |
Religion
| Category | % | |
|---|---|---|
| Christian | 51.4% | |
| No Religion | 40.2% | |
| Not Started | 6.6% | |
| Muslim | 1.2% | |
| Buddhist | 0.4% | |
| Other Religion | 0.4% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 89.7% | |
| None | 10.3% |
Occupation Group
| Category | % | |
|---|---|---|
| Skilled Trades Occupations | 18.8% | |
| Elementary Occupations | 14.1% | |
| Sales and Customer Service Occupations | 12.5% | |
| Process, Plant and Machine Operatives | 12.5% | |
| Administrative and Secretarial Occupations | 10.9% | |
| Associate Professional Occupations | 10.2% | |
| Caring, Leisure and Other Service Occupations | 9.4% | |
| Managers, Directors and Senior Officials | 7.8% | |
| Professional Occupations | 3.9% |
Economic Activity
| Category | % | |
|---|---|---|
| Full-Time Employee | 35.3% | |
| Retired | 31.2% | |
| Part-Time Employee | 14.0% | |
| Self Employed (No Subordinates) | 5.4% | |
| Looking After Home or Family | 3.6% | |
| Unemployed | 3.2% | |
| Other | 2.3% | |
| Full-Time Student | 1.8% | |
| Long-Term Sick or Disabled | 1.8% | |
| Self Employed (With Subordinates) | 1.4% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Semi-Routine Occupation | 21.2% | |
| Routine Occupation | 18.6% | |
| Lower Technical or Supervisory Occupation | 11.9% | |
| Supervisory, or Lower Managerial/Administrative/Professional | 11.5% | |
| Intermediate Occupation | 10.6% | |
| Own Account Worker/Small Employer | 8.0% | |
| Never Worked or Long-Term Unemployed | 8.0% | |
| Large Employer or Higher Managerial/Professional | 6.2% | |
| Full-time Student | 4.0% |
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.