Pilbe App
Property Data for HU5 2DT
HULL, CITY OF KINGSTON UPON HULL — House prices, crime rates & area statistics
Avg. property price
£320,050
Based on 19 recent sales
Most common type
Semi-Detached
58% of properties
Crime level
Average
462 crimes reported in April 2026
Top crime type
Violent Crime
161 incidents (35% of total)
Main tenure type
Owned Outright
50% of households
Largest age group
55-59
11% of residents
Recently sold here
See all sold prices →- 113, NEWLAND PARK, HULL, CITY OF KINGSTON UPON HULL, HU5 2DT Semi-Detached · Feb 2026 £494,000
- 87, NEWLAND PARK, HULL, CITY OF KINGSTON UPON HULL, HU5 2DT Detached · Mar 2024 £493,000
- 125, NEWLAND PARK, HULL, CITY OF KINGSTON UPON HULL, HU5 2DT Detached · Oct 2023 £410,000
Explore HU5 2DT
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 HU5 2DT
There were 462 crimes reported in HU5 2DT during April 2026. The most common category was Violent Crime accounting for 35% of all incidents. Burglary was the next highest with 51 reports.
462
Total Crimes
Most Common
Violent Crime (161)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 161 | 35% | |
| Burglary | 51 | 11% | |
| Shoplifting | 37 | 8% | |
| Criminal Damage Arson | 33 | 7% | |
| Other Theft | 33 | 7% | |
| Vehicle Crime | 32 | 7% | |
| Public Order | 31 | 7% | |
| Anti Social Behaviour | 28 | 6% | |
| Bicycle Theft | 17 | 4% | |
| Drugs | 17 | 4% | |
| Other Crime | 12 | 3% | |
| Other | 10 | 2% |
Policing area: Bricknell — Force website ↗
Data source: police.uk open data. Covers street-level crime and policing data for England, Wales and Northern Ireland.
Area Statistics for HU5 2DT
HU5 2DT is primarily a Owned Outright area with 50% of households in this category. The most common property type is Semi-Detached (75%). The largest age group is 55-59 making up 11% of the local population.
Household Deprivation
| Category | % | |
|---|---|---|
| Not Deprived | 71.2% | |
| Deprived In One Dimension | 28.0% | |
| Deprived In Two Dimension | 0.8% |
Housing Tenure
| Category | % | |
|---|---|---|
| Owned Outright | 50.0% | |
| Owned with Mortgage | 35.2% | |
| Rented: Private Landlord | 10.7% | |
| Rented: Other Social | 3.3% | |
| Rented: Other | 0.8% |
Housing Types
| Category | % | |
|---|---|---|
| Semi-Detached | 74.6% | |
| Detached | 25.4% |
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 76.4% | |
| 1 Person Household | 19.5% | |
| Other Household | 4.1% |
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 45.5% | |
| One Person | 19.5% | |
| Four People | 16.3% | |
| Three People | 11.4% | |
| Five People | 7.3% |
Age Groups
| Category | % | |
|---|---|---|
| 55-59 | 11.2% | |
| 70-74 | 9.5% | |
| 60-64 | 8.8% | |
| 65-69 | 8.8% | |
| 5-9 | 7.5% | |
| 40-44 | 7.1% | |
| 45-49 | 6.8% | |
| 15-19 | 6.1% | |
| 35-39 | 6.1% | |
| 10-14 | 4.7% | |
| 50-54 | 4.7% | |
| 25-29 | 4.1% | |
| 0-4 | 3.7% | |
| 75-79 | 3.4% | |
| 30-34 | 2.7% | |
| 20-24 | 2.4% | |
| 85+ | 1.4% | |
| 80-84 | 1.0% |
Gender
| Category | % | |
|---|---|---|
| Male | 50.0% | |
| Female | 50.0% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 65.5% | |
| Single | 23.7% | |
| Widowed | 4.8% | |
| Divorced | 4.4% | |
| Separated | 1.6% |
Health
| Category | % | |
|---|---|---|
| Very Good | 56.1% | |
| Good | 33.2% | |
| Fair | 8.6% | |
| Bad | 2.0% |
Education & Qualifications
| Category | % | |
|---|---|---|
| Degree or above, or Similar | 50.8% | |
| HNC, HND or 2+ A Levels | 15.3% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 11.3% | |
| No GCSEs or Equivalent | 10.9% | |
| 1-4 GCSEs or Equivalent | 5.2% | |
| Apprenticeship | 4.4% | |
| Other | 2.0% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 90.3% | |
| White | 5.7% | |
| Asian | 2.0% | |
| Other | 2.0% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 93.0% | |
| None | 6.7% | |
| Middle East | 0.3% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 94.3% | |
| 10+ Years | 4.3% | |
| 5-10 Years | 1.0% | |
| Less Than 2 Years | 0.3% |
Religion
| Category | % | |
|---|---|---|
| No Religion | 47.7% | |
| Christian | 40.3% | |
| Muslim | 6.7% | |
| Not Started | 3.0% | |
| Jewish | 1.7% | |
| Buddhist | 0.3% | |
| Other Religion | 0.3% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 95.3% | |
| Middle East | 4.7% |
Occupation Group
| Category | % | |
|---|---|---|
| Professional Occupations | 29.9% | |
| Managers, Directors and Senior Officials | 14.6% | |
| Associate Professional Occupations | 13.4% | |
| Administrative and Secretarial Occupations | 9.6% | |
| Skilled Trades Occupations | 9.6% | |
| Caring, Leisure and Other Service Occupations | 6.4% | |
| Process, Plant and Machine Operatives | 6.4% | |
| Elementary Occupations | 5.7% | |
| Sales and Customer Service Occupations | 4.5% |
Economic Activity
| Category | % | |
|---|---|---|
| Full-Time Employee | 35.8% | |
| Retired | 29.6% | |
| Part-Time Employee | 13.6% | |
| Self Employed (No Subordinates) | 9.1% | |
| Full-Time Student | 4.1% | |
| Looking After Home or Family | 2.9% | |
| Self Employed (With Subordinates) | 2.5% | |
| Unemployed | 1.6% | |
| Other | 0.8% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Supervisory, or Lower Managerial/Administrative/Professional | 34.3% | |
| Large Employer or Higher Managerial/Professional | 14.9% | |
| Intermediate Occupation | 12.9% | |
| Own Account Worker/Small Employer | 10.9% | |
| Lower Technical or Supervisory Occupation | 6.5% | |
| Routine Occupation | 6.5% | |
| Full-time Student | 6.0% | |
| Semi-Routine Occupation | 5.6% | |
| Never Worked or Long-Term Unemployed | 2.4% |
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.