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Property Data for SO22 5TG
House prices, crime rates & area statistics
Crime level
Moderate
190 crimes reported in April 2026
Top crime type
Violent Crime
66 incidents (35% of total)
Main tenure type
Rented: Private Landlord
37% of households
Largest age group
20-24
24% of residents
Explore SO22 5TG
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 5TG
There were 190 crimes reported in SO22 5TG during April 2026. The most common category was Violent Crime accounting for 35% of all incidents. Shoplifting was the next highest with 26 reports.
190
Total Crimes
Most Common
Violent Crime (66)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 66 | 35% | |
| Shoplifting | 26 | 14% | |
| Public Order | 20 | 11% | |
| Drugs | 17 | 9% | |
| Other Theft | 14 | 7% | |
| Burglary | 11 | 6% | |
| Vehicle Crime | 10 | 5% | |
| Anti Social Behaviour | 7 | 4% | |
| Other Crime | 7 | 4% | |
| Criminal Damage Arson | 5 | 3% | |
| Possession Of Weapons | 3 | 2% | |
| Other | 4 | 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 5TG
SO22 5TG is primarily a Rented: Private Landlord area with 37% of households in this category. The most common property type is Terraced (45%). The largest age group is 20-24 making up 24% of the local population.
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 33.3% | |
| One Person | 28.5% | |
| Three People | 17.4% | |
| Four People | 15.3% | |
| Five People | 2.8% | |
| Seven People | 2.1% | |
| Six People | 0.7% |
Housing Tenure
| Category | % | |
|---|---|---|
| Rented: Private Landlord | 36.8% | |
| Owned Outright | 20.8% | |
| Owned with Mortgage | 16.7% | |
| Rented: Other Social | 16.0% | |
| Shared Ownership | 4.2% | |
| Rented: From Council | 2.8% | |
| Rented: Other | 2.8% |
Housing Types
| Category | % | |
|---|---|---|
| Terraced | 45.3% | |
| Flat (Purpose-Built) | 29.2% | |
| Semi-Detached | 20.4% | |
| Detached | 4.4% | |
| Flat (Converted) | 0.7% |
Household Deprivation
| Category | % | |
|---|---|---|
| Not Deprived | 51.4% | |
| Deprived In One Dimension | 31.3% | |
| Deprived In Two Dimension | 15.3% | |
| Deprived In Three Dimension | 2.1% |
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 55.2% | |
| 1 Person Household | 28.3% | |
| Other Household | 16.6% |
Age Groups
| Category | % | |
|---|---|---|
| 20-24 | 23.7% | |
| 15-19 | 8.4% | |
| 40-44 | 7.9% | |
| 55-59 | 6.8% | |
| 45-49 | 6.5% | |
| 25-29 | 6.0% | |
| 65-69 | 5.2% | |
| 0-4 | 4.9% | |
| 50-54 | 4.9% | |
| 5-9 | 4.6% | |
| 60-64 | 4.6% | |
| 35-39 | 4.1% | |
| 30-34 | 3.5% | |
| 10-14 | 3.0% | |
| 75-79 | 2.5% | |
| 70-74 | 1.6% | |
| 80-84 | 0.8% | |
| 85+ | 0.8% |
Relationship Status
| Category | % | |
|---|---|---|
| Single | 56.2% | |
| Married | 32.3% | |
| Divorced | 7.1% | |
| Widowed | 3.1% | |
| Separated | 1.2% |
Gender
| Category | % | |
|---|---|---|
| Female | 56.3% | |
| Male | 43.7% |
Education & Qualifications
| Category | % | |
|---|---|---|
| Degree or above, or Similar | 46.1% | |
| HNC, HND or 2+ A Levels | 29.0% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 14.6% | |
| No GCSEs or Equivalent | 5.9% | |
| 1-4 GCSEs or Equivalent | 2.8% | |
| Other | 1.2% | |
| Apprenticeship | 0.3% |
Health
| Category | % | |
|---|---|---|
| Very Good | 58.2% | |
| Good | 31.1% | |
| Fair | 7.4% | |
| Bad | 2.5% | |
| Very Bad | 0.8% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 71.7% | |
| Less Than 2 Years | 9.8% | |
| 10+ Years | 9.5% | |
| 2-5 Years | 5.2% | |
| 5-10 Years | 3.8% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 83.8% | |
| Middle East | 8.4% | |
| None | 5.1% | |
| Africa | 1.6% | |
| The Americas | 0.8% | |
| Antarctica | 0.3% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 79.0% | |
| White | 9.4% | |
| Other | 4.9% | |
| Asian | 4.0% | |
| Mixed | 2.7% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 84.5% | |
| Middle East | 10.6% | |
| Africa | 3.3% | |
| The Americas | 1.4% | |
| Antarctica | 0.3% |
Religion
| Category | % | |
|---|---|---|
| No Religion | 44.5% | |
| Christian | 37.7% | |
| Not Started | 11.5% | |
| Muslim | 2.7% | |
| Buddhist | 1.9% | |
| Other Religion | 0.8% | |
| Jewish | 0.5% | |
| Hindu | 0.3% |
Economic Activity
| Category | % | |
|---|---|---|
| Full-Time Employee | 30.0% | |
| Full-Time Student | 27.2% | |
| Retired | 15.5% | |
| Part-Time Employee | 10.0% | |
| Self Employed (No Subordinates) | 4.5% | |
| Long-Term Sick or Disabled | 4.1% | |
| Unemployed | 3.4% | |
| Looking After Home or Family | 2.8% | |
| Self Employed (With Subordinates) | 2.1% | |
| Other | 0.3% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Full-time Student | 33.5% | |
| Large Employer or Higher Managerial/Professional | 20.2% | |
| Supervisory, or Lower Managerial/Administrative/Professional | 18.3% | |
| Intermediate Occupation | 6.8% | |
| Own Account Worker/Small Employer | 6.5% | |
| Routine Occupation | 5.6% | |
| Semi-Routine Occupation | 3.4% | |
| Never Worked or Long-Term Unemployed | 3.4% | |
| Lower Technical or Supervisory Occupation | 2.2% |
Occupation Group
| Category | % | |
|---|---|---|
| Professional Occupations | 31.8% | |
| Managers, Directors and Senior Officials | 15.9% | |
| Associate Professional Occupations | 12.7% | |
| Sales and Customer Service Occupations | 9.6% | |
| Administrative and Secretarial Occupations | 8.9% | |
| Caring, Leisure and Other Service Occupations | 7.6% | |
| Skilled Trades Occupations | 5.7% | |
| Elementary Occupations | 5.7% | |
| Process, Plant and Machine Operatives | 1.9% |
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.