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Property Data for SO22 4LZ
WINCHESTER, HAMPSHIRE — House prices, crime rates & area statistics
Avg. property price
£256,259
Based on 39 recent sales
Most common type
Semi-Detached
41% of properties
Crime level
Low
68 crimes reported in April 2026
Top crime type
Violent Crime
25 incidents (37% of total)
Main tenure type
Owned Outright
41% of households
Largest age group
30-34
11% of residents
Recently sold here
See all sold prices →- 50, HARROW DOWN, WINCHESTER, HAMPSHIRE, SO22 4LZ Terraced · Mar 2024 £310,000
- 9, HARROW DOWN, WINCHESTER, HAMPSHIRE, SO22 4LZ Semi-Detached · May 2023 £425,000
- 6, HARROW DOWN, WINCHESTER, HAMPSHIRE, SO22 4LZ Detached · Sep 2021 £380,000
Explore SO22 4LZ
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 4LZ
There were 68 crimes reported in SO22 4LZ during April 2026. The most common category was Violent Crime accounting for 37% of all incidents. Burglary was the next highest with 10 reports.
68
Total Crimes
Most Common
Violent Crime (25)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 25 | 37% | |
| Burglary | 10 | 15% | |
| Other Theft | 7 | 10% | |
| Public Order | 6 | 9% | |
| Vehicle Crime | 6 | 9% | |
| Anti Social Behaviour | 4 | 6% | |
| Criminal Damage Arson | 2 | 3% | |
| Drugs | 2 | 3% | |
| Theft From The Person | 2 | 3% | |
| Other | 4 | 6% |
Policing area: Winchester South — 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 4LZ
SO22 4LZ is primarily a Owned Outright area with 41% of households in this category. The most common property type is Semi-Detached (46%). The largest age group is 30-34 making up 11% of the local population.
Housing Types
| Category | % | |
|---|---|---|
| Semi-Detached | 45.5% | |
| Detached | 28.7% | |
| Terraced | 25.7% |
Housing Tenure
| Category | % | |
|---|---|---|
| Owned Outright | 40.6% | |
| Owned with Mortgage | 31.7% | |
| Rented: Private Landlord | 23.8% | |
| Rented: From Council | 3.0% | |
| Rented: Other | 1.0% |
Household Deprivation
| Category | % | |
|---|---|---|
| Not Deprived | 70.0% | |
| Deprived In One Dimension | 23.0% | |
| Deprived In Two Dimension | 7.0% |
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 74.2% | |
| 1 Person Household | 19.6% | |
| Other Household | 6.2% |
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 46.1% | |
| One Person | 20.6% | |
| Three People | 20.6% | |
| Four People | 9.8% | |
| Five People | 2.9% |
Age Groups
| Category | % | |
|---|---|---|
| 30-34 | 10.9% | |
| 55-59 | 10.5% | |
| 60-64 | 9.2% | |
| 40-44 | 7.9% | |
| 65-69 | 7.4% | |
| 35-39 | 7.0% | |
| 5-9 | 6.6% | |
| 10-14 | 6.1% | |
| 70-74 | 5.7% | |
| 20-24 | 5.2% | |
| 45-49 | 4.8% | |
| 50-54 | 4.8% | |
| 0-4 | 3.5% | |
| 25-29 | 3.5% | |
| 15-19 | 3.1% | |
| 85+ | 3.1% | |
| 75-79 | 0.4% | |
| 80-84 | 0.4% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 51.8% | |
| Single | 32.5% | |
| Divorced | 8.9% | |
| Widowed | 5.2% | |
| Separated | 1.6% |
Health
| Category | % | |
|---|---|---|
| Very Good | 55.3% | |
| Good | 32.5% | |
| Fair | 11.4% | |
| Bad | 0.9% |
Gender
| Category | % | |
|---|---|---|
| Female | 54.4% | |
| Male | 45.6% |
Education & Qualifications
| Category | % | |
|---|---|---|
| Degree or above, or Similar | 49.7% | |
| HNC, HND or 2+ A Levels | 15.9% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 12.7% | |
| 1-4 GCSEs or Equivalent | 9.5% | |
| No GCSEs or Equivalent | 5.3% | |
| Apprenticeship | 3.7% | |
| Other | 3.2% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 90.3% | |
| Asian | 4.4% | |
| White | 3.1% | |
| Other | 2.2% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 92.9% | |
| Middle East | 3.5% | |
| Africa | 2.2% | |
| The Americas | 1.3% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 91.7% | |
| None | 5.3% | |
| Middle East | 1.8% | |
| The Americas | 0.9% | |
| Africa | 0.4% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 82.5% | |
| 10+ Years | 5.7% | |
| 5-10 Years | 5.3% | |
| Less Than 2 Years | 4.4% | |
| 2-5 Years | 2.2% |
Religion
| Category | % | |
|---|---|---|
| Christian | 57.9% | |
| No Religion | 32.5% | |
| Not Started | 8.8% | |
| Other Religion | 0.9% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Supervisory, or Lower Managerial/Administrative/Professional | 33.0% | |
| Large Employer or Higher Managerial/Professional | 16.8% | |
| Intermediate Occupation | 11.5% | |
| Routine Occupation | 11.5% | |
| Own Account Worker/Small Employer | 10.5% | |
| Full-time Student | 5.8% | |
| Lower Technical or Supervisory Occupation | 4.7% | |
| Semi-Routine Occupation | 4.2% | |
| Never Worked or Long-Term Unemployed | 2.1% |
Occupation Group
| Category | % | |
|---|---|---|
| Professional Occupations | 28.5% | |
| Associate Professional Occupations | 13.9% | |
| Skilled Trades Occupations | 11.7% | |
| Managers, Directors and Senior Officials | 10.2% | |
| Administrative and Secretarial Occupations | 10.2% | |
| Caring, Leisure and Other Service Occupations | 8.0% | |
| Process, Plant and Machine Operatives | 6.6% | |
| Elementary Occupations | 5.8% | |
| Sales and Customer Service Occupations | 5.1% |
Economic Activity
| Category | % | |
|---|---|---|
| Full-Time Employee | 42.8% | |
| Retired | 19.3% | |
| Part-Time Employee | 15.0% | |
| Self Employed (No Subordinates) | 12.3% | |
| Full-Time Student | 3.2% | |
| Other | 3.2% | |
| Looking After Home or Family | 2.1% | |
| Self Employed (With Subordinates) | 1.1% | |
| Unemployed | 0.5% | |
| Long-Term Sick or Disabled | 0.5% |
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.