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Property Data for HU6 7BA
HULL, CITY OF KINGSTON UPON HULL — House prices, crime rates & area statistics
Avg. property price
£110,770
Based on 39 recent sales
Most common type
Semi-Detached
87% of properties
Crime level
Average
307 crimes reported in April 2026
Top crime type
Violent Crime
112 incidents (36% of total)
Main tenure type
Owned Outright
64% of households
Largest age group
65-69
11% of residents
Recently sold here
See all sold prices →- 42, SEXTANT ROAD, HULL, CITY OF KINGSTON UPON HULL, HU6 7BA Semi-Detached · May 2026 £160,000
- 12, SEXTANT ROAD, HULL, CITY OF KINGSTON UPON HULL, HU6 7BA Semi-Detached · Feb 2026 £160,000
- 18, SEXTANT ROAD, HULL, CITY OF KINGSTON UPON HULL, HU6 7BA Semi-Detached · Jul 2025 £140,000
Explore HU6 7BA
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 7BA
There were 307 crimes reported in HU6 7BA during April 2026. The most common category was Violent Crime accounting for 36% of all incidents. Shoplifting was the next highest with 35 reports.
307
Total Crimes
Most Common
Violent Crime (112)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 112 | 36% | |
| Shoplifting | 35 | 11% | |
| Anti Social Behaviour | 27 | 9% | |
| Other Theft | 25 | 8% | |
| Criminal Damage Arson | 23 | 7% | |
| Public Order | 22 | 7% | |
| Burglary | 19 | 6% | |
| Vehicle Crime | 15 | 5% | |
| Other Crime | 12 | 4% | |
| Bicycle Theft | 6 | 2% | |
| Drugs | 6 | 2% | |
| Other | 5 | 2% |
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 7BA
HU6 7BA is primarily a Owned Outright area with 64% of households in this category. The most common property type is Semi-Detached (98%). The largest age group is 65-69 making up 11% of the local population.
Housing Tenure
| Category | % | |
|---|---|---|
| Owned Outright | 63.6% | |
| Owned with Mortgage | 26.6% | |
| Rented: Private Landlord | 6.3% | |
| Rented: Other | 2.8% | |
| Rented: Other Social | 0.7% |
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 47.9% | |
| One Person | 36.1% | |
| Three People | 9.7% | |
| Four People | 5.6% | |
| Six People | 0.7% |
Housing Types
| Category | % | |
|---|---|---|
| Semi-Detached | 97.9% | |
| Terraced | 1.4% | |
| Detached | 0.7% |
Household Deprivation
| Category | % | |
|---|---|---|
| Deprived In One Dimension | 40.8% | |
| Not Deprived | 34.5% | |
| Deprived In Two Dimension | 20.4% | |
| Deprived In Three Dimension | 4.2% |
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 63.3% | |
| 1 Person Household | 36.1% | |
| Other Household | 0.7% |
Gender
| Category | % | |
|---|---|---|
| Male | 51.3% | |
| Female | 48.7% |
Education & Qualifications
| Category | % | |
|---|---|---|
| No GCSEs or Equivalent | 28.4% | |
| Degree or above, or Similar | 18.4% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 14.0% | |
| 1-4 GCSEs or Equivalent | 13.2% | |
| HNC, HND or 2+ A Levels | 10.8% | |
| Apprenticeship | 10.0% | |
| Other | 5.2% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 55.4% | |
| Single | 22.1% | |
| Widowed | 13.7% | |
| Divorced | 7.6% | |
| Separated | 1.2% |
Health
| Category | % | |
|---|---|---|
| Good | 35.0% | |
| Very Good | 30.8% | |
| Fair | 20.7% | |
| Bad | 10.9% | |
| Very Bad | 2.6% |
Age Groups
| Category | % | |
|---|---|---|
| 65-69 | 11.4% | |
| 80-84 | 11.0% | |
| 60-64 | 9.8% | |
| 70-74 | 9.8% | |
| 55-59 | 9.5% | |
| 85+ | 9.5% | |
| 75-79 | 7.2% | |
| 50-54 | 6.8% | |
| 20-24 | 4.5% | |
| 40-44 | 3.8% | |
| 45-49 | 3.8% | |
| 10-14 | 3.0% | |
| 15-19 | 2.3% | |
| 5-9 | 1.9% | |
| 25-29 | 1.9% | |
| 30-34 | 1.5% | |
| 35-39 | 1.5% | |
| 0-4 | 0.8% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 98.1% | |
| White | 1.5% | |
| Mixed | 0.4% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 77.3% | |
| None | 22.7% |
Religion
| Category | % | |
|---|---|---|
| Christian | 63.0% | |
| No Religion | 27.9% | |
| Not Started | 6.4% | |
| Muslim | 1.9% | |
| Jewish | 0.4% | |
| Other Religion | 0.4% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 100.0% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 98.9% | |
| Less Than 2 Years | 0.8% | |
| 10+ Years | 0.4% |
Occupation Group
| Category | % | |
|---|---|---|
| Associate Professional Occupations | 17.3% | |
| Professional Occupations | 15.3% | |
| Elementary Occupations | 12.2% | |
| Sales and Customer Service Occupations | 11.2% | |
| Process, Plant and Machine Operatives | 11.2% | |
| Managers, Directors and Senior Officials | 9.2% | |
| Administrative and Secretarial Occupations | 8.2% | |
| Skilled Trades Occupations | 8.2% | |
| Caring, Leisure and Other Service Occupations | 7.1% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Supervisory, or Lower Managerial/Administrative/Professional | 17.1% | |
| Routine Occupation | 16.7% | |
| Intermediate Occupation | 15.1% | |
| Semi-Routine Occupation | 13.9% | |
| Lower Technical or Supervisory Occupation | 11.2% | |
| Own Account Worker/Small Employer | 8.0% | |
| Never Worked or Long-Term Unemployed | 7.2% | |
| Large Employer or Higher Managerial/Professional | 5.6% | |
| Full-time Student | 5.2% |
Economic Activity
| Category | % | |
|---|---|---|
| Retired | 50.4% | |
| Full-Time Employee | 25.2% | |
| Part-Time Employee | 10.2% | |
| Full-Time Student | 4.5% | |
| Long-Term Sick or Disabled | 3.7% | |
| Looking After Home or Family | 2.4% | |
| Self Employed (No Subordinates) | 1.6% | |
| Unemployed | 0.8% | |
| Other | 0.8% | |
| Self Employed (With Subordinates) | 0.4% |
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.