Pilbe App
Property Data for SO22 5LF
WINCHESTER, HAMPSHIRE — House prices, crime rates & area statistics
Avg. property price
£926,050
Based on 20 recent sales
Most common type
Detached
100% of properties
Crime level
Moderate
101 crimes reported in April 2026
Top crime type
Violent Crime
38 incidents (38% of total)
Main tenure type
Owned Outright
49% of households
Largest age group
50-54
10% of residents
Recently sold here
See all sold prices →- 7, HAMPTON LANE, WINCHESTER, HAMPSHIRE, SO22 5LF Detached · Sep 2024 £895,000
- 17, HAMPTON LANE, WINCHESTER, HAMPSHIRE, SO22 5LF Detached · Oct 2023 £970,000
- 24, HAMPTON LANE, WINCHESTER, HAMPSHIRE, SO22 5LF Detached · Jul 2023 £1,350,000
Explore SO22 5LF
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 SO22 5LF
There were 101 crimes reported in SO22 5LF during April 2026. The most common category was Violent Crime accounting for 38% of all incidents. Other Theft was the next highest with 11 reports.
101
Total Crimes
Most Common
Violent Crime (38)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 38 | 38% | |
| Other Theft | 11 | 11% | |
| Public Order | 11 | 11% | |
| Shoplifting | 9 | 9% | |
| Drugs | 7 | 7% | |
| Vehicle Crime | 7 | 7% | |
| Other Crime | 6 | 6% | |
| Anti Social Behaviour | 5 | 5% | |
| Burglary | 3 | 3% | |
| Criminal Damage Arson | 2 | 2% | |
| Other | 2 | 2% |
Policing area: Winchester North — Force website ↗
Data source: police.uk open data. Covers street-level crime and policing data for England, Wales and Northern Ireland.
Area Statistics for SO22 5LF
SO22 5LF is primarily a Owned Outright area with 49% of households in this category. The most common property type is Detached (53%). The largest age group is 50-54 making up 10% of the local population.
Housing Tenure
| Category | % | |
|---|---|---|
| Owned Outright | 48.7% | |
| Owned with Mortgage | 44.3% | |
| Rented: Private Landlord | 4.3% | |
| Rented: From Council | 0.9% | |
| Rented: Other Social | 0.9% | |
| Rented: Other | 0.9% |
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 40.7% | |
| Four People | 29.2% | |
| Three People | 13.3% | |
| One Person | 9.7% | |
| Five People | 5.3% | |
| Six People | 1.8% |
Household Deprivation
| Category | % | |
|---|---|---|
| Not Deprived | 63.7% | |
| Deprived In One Dimension | 32.7% | |
| Deprived In Two Dimension | 3.5% |
Housing Types
| Category | % | |
|---|---|---|
| Detached | 52.7% | |
| Semi-Detached | 45.5% | |
| Terraced | 0.9% | |
| Flat (Purpose-Built) | 0.9% |
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 87.0% | |
| 1 Person Household | 10.4% | |
| Other Household | 2.6% |
Age Groups
| Category | % | |
|---|---|---|
| 50-54 | 9.9% | |
| 5-9 | 8.9% | |
| 55-59 | 8.0% | |
| 15-19 | 7.6% | |
| 40-44 | 7.0% | |
| 45-49 | 6.7% | |
| 65-69 | 6.4% | |
| 0-4 | 6.1% | |
| 10-14 | 6.1% | |
| 75-79 | 5.7% | |
| 35-39 | 5.4% | |
| 70-74 | 5.4% | |
| 80-84 | 4.8% | |
| 20-24 | 3.5% | |
| 60-64 | 3.2% | |
| 30-34 | 2.2% | |
| 85+ | 1.9% | |
| 25-29 | 1.3% |
Health
| Category | % | |
|---|---|---|
| Very Good | 61.3% | |
| Good | 24.8% | |
| Fair | 11.0% | |
| Bad | 2.2% | |
| Very Bad | 0.6% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 69.6% | |
| Single | 24.7% | |
| Divorced | 2.8% | |
| Widowed | 2.4% | |
| Separated | 0.4% |
Education & Qualifications
| Category | % | |
|---|---|---|
| Degree or above, or Similar | 64.5% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 11.7% | |
| HNC, HND or 2+ A Levels | 11.3% | |
| No GCSEs or Equivalent | 4.0% | |
| 1-4 GCSEs or Equivalent | 3.2% | |
| Apprenticeship | 2.8% | |
| Other | 2.4% |
Gender
| Category | % | |
|---|---|---|
| Female | 54.7% | |
| Male | 45.3% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 97.2% | |
| Asian | 2.5% | |
| White | 0.3% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 97.8% | |
| Africa | 1.9% | |
| Middle East | 0.3% |
Religion
| Category | % | |
|---|---|---|
| Christian | 52.7% | |
| No Religion | 41.3% | |
| Not Started | 5.4% | |
| Buddhist | 0.3% | |
| Hindu | 0.3% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 93.7% | |
| 10+ Years | 5.0% | |
| 5-10 Years | 0.9% | |
| 2-5 Years | 0.3% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 94.0% | |
| None | 5.6% | |
| Antarctica | 0.3% |
Occupation Group
| Category | % | |
|---|---|---|
| Professional Occupations | 39.7% | |
| Managers, Directors and Senior Officials | 20.5% | |
| Associate Professional Occupations | 14.6% | |
| Administrative and Secretarial Occupations | 8.6% | |
| Skilled Trades Occupations | 4.6% | |
| Sales and Customer Service Occupations | 4.0% | |
| Caring, Leisure and Other Service Occupations | 3.3% | |
| Elementary Occupations | 3.3% | |
| Process, Plant and Machine Operatives | 1.3% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Large Employer or Higher Managerial/Professional | 35.9% | |
| Supervisory, or Lower Managerial/Administrative/Professional | 23.4% | |
| Intermediate Occupation | 12.9% | |
| Full-time Student | 9.3% | |
| Own Account Worker/Small Employer | 8.9% | |
| Routine Occupation | 4.0% | |
| Lower Technical or Supervisory Occupation | 2.4% | |
| Semi-Routine Occupation | 1.6% | |
| Never Worked or Long-Term Unemployed | 1.6% |
Economic Activity
| Category | % | |
|---|---|---|
| Full-Time Employee | 33.9% | |
| Retired | 29.7% | |
| Part-Time Employee | 12.1% | |
| Self Employed (No Subordinates) | 10.9% | |
| Full-Time Student | 7.1% | |
| Looking After Home or Family | 2.5% | |
| Self Employed (With Subordinates) | 2.1% | |
| Long-Term Sick or Disabled | 1.3% | |
| Unemployed | 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.