Pilbe App
Property Data for HU12 8PG
HULL, EAST RIDING OF YORKSHIRE — House prices, crime rates & area statistics
Avg. property price
£140,681
Based on 8 recent sales
Most common type
Detached
100% of properties
Crime level
Low
39 crimes reported in April 2026
Top crime type
Violent Crime
13 incidents (33% of total)
Main tenure type
Owned Outright
48% of households
Largest age group
60-64
10% of residents
Recently sold here
See all sold prices →- 9, BERKELEY DRIVE, HULL, EAST RIDING OF YORKSHIRE, HU12 8PG Detached · Feb 2024 £335,000
- 1, BERKELEY DRIVE, HULL, EAST RIDING OF YORKSHIRE, HU12 8PG Detached · Sep 2022 £237,000
- 4, BERKELEY DRIVE, HULL, EAST RIDING OF YORKSHIRE, HU12 8PG Detached · Sep 2006 £185,000
Explore HU12 8PG
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 HU12 8PG
There were 39 crimes reported in HU12 8PG during April 2026. The most common category was Violent Crime accounting for 33% of all incidents. Criminal Damage Arson was the next highest with 6 reports.
39
Total Crimes
Most Common
Violent Crime (13)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 13 | 33% | |
| Criminal Damage Arson | 6 | 15% | |
| Anti Social Behaviour | 5 | 13% | |
| Other Crime | 5 | 13% | |
| Shoplifting | 3 | 8% | |
| Burglary | 2 | 5% | |
| Possession Of Weapons | 2 | 5% | |
| Bicycle Theft | 1 | 3% | |
| Other Theft | 1 | 3% | |
| Public Order | 1 | 3% |
Policing area: South West Holderness — Force website ↗
Data source: police.uk open data. Covers street-level crime and policing data for England, Wales and Northern Ireland.
Area Statistics for HU12 8PG
HU12 8PG is primarily a Owned Outright area with 48% of households in this category. The most common property type is Detached (72%). The largest age group is 60-64 making up 10% of the local population.
Housing Types
| Category | % | |
|---|---|---|
| Detached | 71.7% | |
| Semi-Detached | 14.5% | |
| Terraced | 13.1% | |
| Flat (Purpose-Built) | 0.7% |
Household Deprivation
| Category | % | |
|---|---|---|
| Not Deprived | 57.2% | |
| Deprived In One Dimension | 30.3% | |
| Deprived In Two Dimension | 9.7% | |
| Deprived In Three Dimension | 2.8% |
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 73.2% | |
| 1 Person Household | 23.9% | |
| Other Household | 2.8% |
Housing Tenure
| Category | % | |
|---|---|---|
| Owned Outright | 47.9% | |
| Owned with Mortgage | 38.2% | |
| Rented: Private Landlord | 11.8% | |
| Rented: Other | 2.1% |
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 43.5% | |
| One Person | 23.1% | |
| Three People | 17.7% | |
| Four People | 12.2% | |
| Five People | 1.4% | |
| Seven People | 1.4% | |
| Six People | 0.7% |
Health
| Category | % | |
|---|---|---|
| Very Good | 54.2% | |
| Good | 31.7% | |
| Fair | 9.6% | |
| Bad | 3.6% | |
| Very Bad | 0.9% |
Age Groups
| Category | % | |
|---|---|---|
| 60-64 | 10.2% | |
| 70-74 | 7.5% | |
| 50-54 | 7.2% | |
| 65-69 | 7.2% | |
| 0-4 | 6.9% | |
| 45-49 | 6.9% | |
| 55-59 | 6.6% | |
| 35-39 | 6.0% | |
| 5-9 | 5.7% | |
| 75-79 | 5.4% | |
| 30-34 | 5.1% | |
| 10-14 | 4.8% | |
| 25-29 | 4.5% | |
| 40-44 | 4.2% | |
| 15-19 | 3.6% | |
| 20-24 | 3.6% | |
| 80-84 | 2.1% | |
| 85+ | 2.1% |
Education & Qualifications
| Category | % | |
|---|---|---|
| Degree or above, or Similar | 29.2% | |
| HNC, HND or 2+ A Levels | 19.9% | |
| No GCSEs or Equivalent | 15.1% | |
| Apprenticeship | 11.4% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 11.4% | |
| 1-4 GCSEs or Equivalent | 11.4% | |
| Other | 1.5% |
Gender
| Category | % | |
|---|---|---|
| Male | 50.1% | |
| Female | 49.9% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 58.5% | |
| Single | 23.3% | |
| Divorced | 10.7% | |
| Widowed | 4.8% | |
| Separated | 2.6% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 98.2% | |
| Asian | 0.9% | |
| White | 0.6% | |
| Other | 0.3% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 98.8% | |
| Middle East | 0.6% | |
| The Americas | 0.6% |
Religion
| Category | % | |
|---|---|---|
| Christian | 55.9% | |
| No Religion | 40.5% | |
| Not Started | 3.0% | |
| Buddhist | 0.6% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 89.8% | |
| None | 9.9% | |
| The Americas | 0.3% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 98.5% | |
| 10+ Years | 1.2% | |
| 2-5 Years | 0.3% |
Economic Activity
| Category | % | |
|---|---|---|
| Full-Time Employee | 35.9% | |
| Retired | 31.9% | |
| Part-Time Employee | 12.6% | |
| Self Employed (No Subordinates) | 7.4% | |
| Looking After Home or Family | 4.4% | |
| Long-Term Sick or Disabled | 2.6% | |
| Self Employed (With Subordinates) | 1.9% | |
| Full-Time Student | 1.9% | |
| Unemployed | 1.5% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Supervisory, or Lower Managerial/Administrative/Professional | 21.9% | |
| Semi-Routine Occupation | 15.2% | |
| Intermediate Occupation | 14.5% | |
| Own Account Worker/Small Employer | 12.3% | |
| Routine Occupation | 10.4% | |
| Lower Technical or Supervisory Occupation | 8.6% | |
| Large Employer or Higher Managerial/Professional | 7.8% | |
| Never Worked or Long-Term Unemployed | 7.1% | |
| Full-time Student | 2.2% |
Occupation Group
| Category | % | |
|---|---|---|
| Professional Occupations | 17.6% | |
| Associate Professional Occupations | 17.0% | |
| Skilled Trades Occupations | 17.0% | |
| Caring, Leisure and Other Service Occupations | 11.8% | |
| Administrative and Secretarial Occupations | 10.5% | |
| Managers, Directors and Senior Officials | 9.2% | |
| Process, Plant and Machine Operatives | 6.5% | |
| Sales and Customer Service Occupations | 5.9% | |
| Elementary Occupations | 4.6% |
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.