Property Data for LS16 6EB
LEEDS, WEST YORKSHIRE — House prices, crime rates & area statistics
Avg. property price
£10,000,000
Based on 1 recent sales
Most common type
Other
100% of properties
Crime level
Moderate
194 crimes reported in April 2026
Top crime type
Violent Crime
80 incidents (41% of total)
Main tenure type
Rented: From Council
88% of households
Largest age group
55-59
13% of residents
Property Valuations in LS16 6EB
1 properties have been sold in LS16 6EB with an average sale price of £10,000,000. The most recent sale was UNIT C2-C3, WIRA BUSINESS PARK, RING ROAD, LEEDS, WEST YORKSHIRE, LS16 6EB on 2 Mar 2017 for £10,000,000.
UNIT C2-C3, WIRA BUSINESS PARK, RING ROAD, LEEDS, WEST YORKSHIRE, LS16 6EB
Other Freehold
£10,000,000
2 Mar 2017
Data source: HM Land Registry Price Paid Data. Updated regularly. Crown copyright.
Crime Rates in LS16 6EB
There were 194 crimes reported in LS16 6EB during April 2026. The most common category was Violent Crime accounting for 41% of all incidents. Public Order was the next highest with 19 reports.
194
Total Crimes
Most Common
Violent Crime (80)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 80 | 41% | |
| Public Order | 19 | 10% | |
| Anti Social Behaviour | 18 | 9% | |
| Vehicle Crime | 18 | 9% | |
| Burglary | 15 | 8% | |
| Other Theft | 12 | 6% | |
| Other Crime | 10 | 5% | |
| Criminal Damage Arson | 8 | 4% | |
| Robbery | 5 | 3% | |
| Possession Of Weapons | 4 | 2% | |
| Shoplifting | 3 | 2% | |
| Other | 2 | 1% |
Policing area: Leeds North West — Force website ↗
Data source: police.uk open data. Covers street-level crime and policing data for England, Wales and Northern Ireland.
Area Statistics for LS16 6EB
LS16 6EB is primarily a Rented: From Council area with 88% of households in this category. The most common property type is Flat (Purpose-Built) (97%). The largest age group is 55-59 making up 13% of the local population.
Housing Tenure
| Category | % | |
|---|---|---|
| Rented: From Council | 88.3% | |
| Rented: Private Landlord | 4.5% | |
| Owned Outright | 2.7% | |
| Rented: Other Social | 2.7% | |
| Owned with Mortgage | 0.9% | |
| Rent Free | 0.9% |
Household Composition
| Category | % | |
|---|---|---|
| 1 Person Household | 63.7% | |
| Family Household | 35.4% | |
| Other Household | 0.9% |
Housing Types
| Category | % | |
|---|---|---|
| Flat (Purpose-Built) | 97.3% | |
| Detached | 1.8% | |
| Semi-Detached | 0.9% |
Housing Occupancy
| Category | % | |
|---|---|---|
| One Person | 66.1% | |
| Two People | 20.2% | |
| Four People | 6.4% | |
| Three People | 5.5% | |
| Five People | 1.8% |
Household Deprivation
| Category | % | |
|---|---|---|
| Deprived In One Dimension | 39.8% | |
| Deprived In Two Dimension | 32.7% | |
| Not Deprived | 19.5% | |
| Deprived In Three Dimension | 7.1% | |
| Deprived In Four Dimension | 0.9% |
Education & Qualifications
| Category | % | |
|---|---|---|
| No GCSEs or Equivalent | 26.1% | |
| Degree or above, or Similar | 19.7% | |
| HNC, HND or 2+ A Levels | 17.8% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 14.0% | |
| 1-4 GCSEs or Equivalent | 13.4% | |
| Apprenticeship | 5.7% | |
| Other | 3.2% |
Age Groups
| Category | % | |
|---|---|---|
| 55-59 | 13.3% | |
| 25-29 | 9.9% | |
| 30-34 | 9.9% | |
| 20-24 | 8.8% | |
| 15-19 | 7.2% | |
| 40-44 | 7.2% | |
| 35-39 | 5.5% | |
| 45-49 | 5.5% | |
| 10-14 | 5.0% | |
| 50-54 | 4.4% | |
| 60-64 | 4.4% | |
| 0-4 | 3.9% | |
| 5-9 | 3.9% | |
| 70-74 | 3.3% | |
| 65-69 | 2.8% | |
| 75-79 | 2.2% | |
| 80-84 | 1.7% | |
| 85+ | 1.1% |
Relationship Status
| Category | % | |
|---|---|---|
| Single | 60.4% | |
| Married | 22.7% | |
| Divorced | 11.0% | |
| Widowed | 4.5% | |
| Separated | 1.3% |
Gender
| Category | % | |
|---|---|---|
| Male | 53.6% | |
| Female | 46.4% |
Health
| Category | % | |
|---|---|---|
| Very Good | 30.9% | |
| Good | 29.8% | |
| Fair | 22.1% | |
| Bad | 14.4% | |
| Very Bad | 2.8% |
Religion
| Category | % | |
|---|---|---|
| Christian | 45.8% | |
| No Religion | 39.0% | |
| Muslim | 11.3% | |
| Not Started | 2.8% | |
| Hindu | 0.6% | |
| Jewish | 0.6% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 66.9% | |
| White | 13.5% | |
| Mixed | 11.2% | |
| Other | 6.7% | |
| Asian | 1.7% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 80.2% | |
| Middle East | 12.6% | |
| Africa | 7.1% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 70.7% | |
| 10+ Years | 12.2% | |
| 5-10 Years | 9.9% | |
| 2-5 Years | 6.1% | |
| Less Than 2 Years | 1.1% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 72.9% | |
| None | 20.4% | |
| Middle East | 4.4% | |
| Africa | 2.2% |
Occupation Group
| Category | % | |
|---|---|---|
| Elementary Occupations | 25.9% | |
| Process, Plant and Machine Operatives | 17.2% | |
| Managers, Directors and Senior Officials | 12.1% | |
| Caring, Leisure and Other Service Occupations | 12.1% | |
| Sales and Customer Service Occupations | 10.3% | |
| Associate Professional Occupations | 8.6% | |
| Professional Occupations | 6.9% | |
| Skilled Trades Occupations | 6.9% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Never Worked or Long-Term Unemployed | 22.2% | |
| Semi-Routine Occupation | 17.6% | |
| Routine Occupation | 13.1% | |
| Full-time Student | 10.5% | |
| Intermediate Occupation | 8.5% | |
| Own Account Worker/Small Employer | 8.5% | |
| Supervisory, or Lower Managerial/Administrative/Professional | 7.2% | |
| Lower Technical or Supervisory Occupation | 7.2% | |
| Large Employer or Higher Managerial/Professional | 5.2% |
Economic Activity
| Category | % | |
|---|---|---|
| Full-Time Employee | 22.3% | |
| Long-Term Sick or Disabled | 18.2% | |
| Retired | 13.5% | |
| Other | 11.5% | |
| Full-Time Student | 10.1% | |
| Unemployed | 8.1% | |
| Part-Time Employee | 7.4% | |
| Looking After Home or Family | 5.4% | |
| Self Employed (No Subordinates) | 2.0% | |
| Self Employed (With Subordinates) | 1.4% |
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.