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Property Data for HU6 7EX
HULL, CITY OF KINGSTON UPON HULL — House prices, crime rates & area statistics
Avg. property price
£136,763
Based on 16 recent sales
Most common type
Terraced
88% of properties
Crime level
Average
392 crimes reported in April 2026
Top crime type
Violent Crime
140 incidents (36% of total)
Main tenure type
Owned with Mortgage
52% of households
Largest age group
40-44
10% of residents
Recently sold here
See all sold prices →- 762, BEVERLEY ROAD, HULL, CITY OF KINGSTON UPON HULL, HU6 7EX Terraced · Mar 2025 £128,000
- 774, BEVERLEY ROAD, HULL, CITY OF KINGSTON UPON HULL, HU6 7EX Terraced · Dec 2024 £180,000
- 772, BEVERLEY ROAD, HULL, CITY OF KINGSTON UPON HULL, HU6 7EX Terraced · Aug 2023 £190,000
Explore HU6 7EX
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 HU6 7EX
There were 392 crimes reported in HU6 7EX during April 2026. The most common category was Violent Crime accounting for 36% of all incidents. Burglary was the next highest with 42 reports.
392
Total Crimes
Most Common
Violent Crime (140)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 140 | 36% | |
| Burglary | 42 | 11% | |
| Shoplifting | 37 | 9% | |
| Other Theft | 30 | 8% | |
| Criminal Damage Arson | 29 | 7% | |
| Anti Social Behaviour | 25 | 6% | |
| Public Order | 24 | 6% | |
| Vehicle Crime | 24 | 6% | |
| Other Crime | 14 | 4% | |
| Bicycle Theft | 13 | 3% | |
| Drugs | 9 | 2% | |
| Other | 5 | 1% |
Policing area: Beverley and Newland — Force website ↗
Data source: police.uk open data. Covers street-level crime and policing data for England, Wales and Northern Ireland.
Area Statistics for HU6 7EX
HU6 7EX is primarily a Owned with Mortgage area with 52% of households in this category. The most common property type is Terraced (56%). The largest age group is 40-44 making up 10% of the local population.
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 81.3% | |
| 1 Person Household | 13.5% | |
| Other Household | 5.2% |
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 39.6% | |
| Three People | 26.0% | |
| One Person | 13.5% | |
| Four People | 11.5% | |
| Five People | 7.3% | |
| Six People | 2.1% |
Housing Types
| Category | % | |
|---|---|---|
| Terraced | 56.3% | |
| Semi-Detached | 32.3% | |
| Detached | 11.5% |
Household Deprivation
| Category | % | |
|---|---|---|
| Not Deprived | 63.5% | |
| Deprived In One Dimension | 28.1% | |
| Deprived In Two Dimension | 8.3% |
Housing Tenure
| Category | % | |
|---|---|---|
| Owned with Mortgage | 52.1% | |
| Owned Outright | 37.5% | |
| Rented: Private Landlord | 9.4% | |
| Rented: Other | 1.0% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 61.0% | |
| Single | 30.2% | |
| Divorced | 7.3% | |
| Separated | 1.0% | |
| Widowed | 0.5% |
Age Groups
| Category | % | |
|---|---|---|
| 40-44 | 9.6% | |
| 50-54 | 8.4% | |
| 60-64 | 8.0% | |
| 25-29 | 7.6% | |
| 45-49 | 7.6% | |
| 10-14 | 7.2% | |
| 65-69 | 7.2% | |
| 30-34 | 6.8% | |
| 35-39 | 6.4% | |
| 70-74 | 6.4% | |
| 5-9 | 6.0% | |
| 0-4 | 5.6% | |
| 55-59 | 4.4% | |
| 15-19 | 3.2% | |
| 20-24 | 2.4% | |
| 75-79 | 2.4% | |
| 85+ | 0.8% | |
| 80-84 | 0.4% |
Health
| Category | % | |
|---|---|---|
| Very Good | 53.7% | |
| Good | 35.7% | |
| Fair | 8.6% | |
| Bad | 2.0% |
Gender
| Category | % | |
|---|---|---|
| Female | 52.7% | |
| Male | 47.3% |
Education & Qualifications
| Category | % | |
|---|---|---|
| Degree or above, or Similar | 39.4% | |
| HNC, HND or 2+ A Levels | 17.2% | |
| No GCSEs or Equivalent | 13.3% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 12.8% | |
| 1-4 GCSEs or Equivalent | 7.4% | |
| Apprenticeship | 6.9% | |
| Other | 3.0% |
Religion
| Category | % | |
|---|---|---|
| Christian | 53.4% | |
| No Religion | 39.9% | |
| Not Started | 4.7% | |
| Muslim | 2.0% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 90.6% | |
| Mixed | 5.9% | |
| Asian | 1.6% | |
| White | 1.2% | |
| Other | 0.8% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 87.5% | |
| None | 12.5% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 90.6% | |
| 10+ Years | 6.7% | |
| 2-5 Years | 1.2% | |
| Less Than 2 Years | 1.2% | |
| 5-10 Years | 0.4% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 94.9% | |
| Africa | 3.5% | |
| Middle East | 1.6% |
Occupation Group
| Category | % | |
|---|---|---|
| Professional Occupations | 18.3% | |
| Associate Professional Occupations | 13.4% | |
| Administrative and Secretarial Occupations | 12.7% | |
| Skilled Trades Occupations | 12.7% | |
| Caring, Leisure and Other Service Occupations | 12.7% | |
| Managers, Directors and Senior Officials | 11.3% | |
| Sales and Customer Service Occupations | 7.7% | |
| Process, Plant and Machine Operatives | 5.6% | |
| Elementary Occupations | 5.6% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Supervisory, or Lower Managerial/Administrative/Professional | 27.9% | |
| Intermediate Occupation | 14.2% | |
| Own Account Worker/Small Employer | 13.7% | |
| Large Employer or Higher Managerial/Professional | 10.8% | |
| Routine Occupation | 9.8% | |
| Semi-Routine Occupation | 8.8% | |
| Lower Technical or Supervisory Occupation | 8.3% | |
| Full-time Student | 3.4% | |
| Never Worked or Long-Term Unemployed | 2.9% |
Economic Activity
| Category | % | |
|---|---|---|
| Full-Time Employee | 45.0% | |
| Retired | 19.8% | |
| Part-Time Employee | 12.9% | |
| Self Employed (No Subordinates) | 8.9% | |
| Looking After Home or Family | 3.0% | |
| Other | 3.0% | |
| Self Employed (With Subordinates) | 2.5% | |
| Full-Time Student | 2.5% | |
| Unemployed | 1.5% | |
| Long-Term Sick or Disabled | 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.