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Property Data for DN18 5AJ
BARTON-UPON-HUMBER, NORTH LINCOLNSHIRE — House prices, crime rates & area statistics
Avg. property price
£116,167
Based on 41 recent sales
Most common type
Semi-Detached
37% of properties
Crime level
Low
57 crimes reported in April 2026
Top crime type
Violent Crime
33 incidents (58% of total)
Main tenure type
Owned Outright
52% of households
Largest age group
60-64
12% of residents
Recently sold here
See all sold prices →- 15, WEST ACRIDGE, BARTON-UPON-HUMBER, NORTH LINCOLNSHIRE, DN18 5AJ Semi-Detached · Sep 2025 £140,000
- 51, WEST ACRIDGE, BARTON-UPON-HUMBER, NORTH LINCOLNSHIRE, DN18 5AJ Detached · Jul 2025 £302,000
- 57, WEST ACRIDGE, BARTON-UPON-HUMBER, NORTH LINCOLNSHIRE, DN18 5AJ Terraced · Oct 2024 £175,000
Explore DN18 5AJ
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 DN18 5AJ
There were 57 crimes reported in DN18 5AJ during April 2026. The most common category was Violent Crime accounting for 58% of all incidents. Public Order was the next highest with 7 reports.
57
Total Crimes
Most Common
Violent Crime (33)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 33 | 58% | |
| Public Order | 7 | 12% | |
| Anti Social Behaviour | 4 | 7% | |
| Criminal Damage Arson | 4 | 7% | |
| Other Theft | 3 | 5% | |
| Burglary | 2 | 4% | |
| Bicycle Theft | 1 | 2% | |
| Drugs | 1 | 2% | |
| Shoplifting | 1 | 2% | |
| Vehicle Crime | 1 | 2% |
Policing area: Barton — Force website ↗
Data source: police.uk open data. Covers street-level crime and policing data for England, Wales and Northern Ireland.
Area Statistics for DN18 5AJ
DN18 5AJ is primarily a Owned Outright area with 52% of households in this category. The most common property type is Semi-Detached (35%). The largest age group is 60-64 making up 12% of the local population.
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 67.2% | |
| 1 Person Household | 28.4% | |
| Other Household | 4.5% |
Housing Tenure
| Category | % | |
|---|---|---|
| Owned Outright | 51.8% | |
| Owned with Mortgage | 37.2% | |
| Rented: Private Landlord | 10.2% | |
| Rented: From Council | 0.7% |
Household Deprivation
| Category | % | |
|---|---|---|
| Not Deprived | 57.0% | |
| Deprived In One Dimension | 35.6% | |
| Deprived In Two Dimension | 7.4% |
Housing Types
| Category | % | |
|---|---|---|
| Semi-Detached | 34.8% | |
| Detached | 34.1% | |
| Terraced | 31.1% |
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 37.8% | |
| One Person | 28.1% | |
| Three People | 21.5% | |
| Four People | 9.6% | |
| Five People | 2.2% | |
| Seven People | 0.7% |
Age Groups
| Category | % | |
|---|---|---|
| 60-64 | 11.8% | |
| 55-59 | 10.0% | |
| 35-39 | 8.8% | |
| 65-69 | 8.2% | |
| 45-49 | 7.9% | |
| 50-54 | 7.9% | |
| 15-19 | 7.0% | |
| 25-29 | 6.4% | |
| 70-74 | 5.2% | |
| 40-44 | 3.9% | |
| 75-79 | 3.9% | |
| 5-9 | 3.6% | |
| 0-4 | 3.3% | |
| 10-14 | 3.0% | |
| 30-34 | 3.0% | |
| 20-24 | 2.4% | |
| 80-84 | 2.1% | |
| 85+ | 1.5% |
Gender
| Category | % | |
|---|---|---|
| Male | 53.4% | |
| Female | 46.6% |
Health
| Category | % | |
|---|---|---|
| Very Good | 47.7% | |
| Good | 32.9% | |
| Fair | 14.8% | |
| Bad | 3.6% | |
| Very Bad | 0.9% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 48.8% | |
| Single | 34.5% | |
| Divorced | 9.8% | |
| Widowed | 5.6% | |
| Separated | 1.4% |
Education & Qualifications
| Category | % | |
|---|---|---|
| Degree or above, or Similar | 29.4% | |
| HNC, HND or 2+ A Levels | 18.3% | |
| No GCSEs or Equivalent | 15.2% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 14.5% | |
| 1-4 GCSEs or Equivalent | 14.2% | |
| Apprenticeship | 6.6% | |
| Other | 1.7% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 79.6% | |
| None | 20.1% | |
| Africa | 0.3% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 97.6% | |
| 10+ Years | 2.4% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 97.9% | |
| Africa | 0.9% | |
| Middle East | 0.6% | |
| The Americas | 0.6% |
Religion
| Category | % | |
|---|---|---|
| Christian | 49.1% | |
| No Religion | 42.4% | |
| Not Started | 7.0% | |
| Buddhist | 1.2% | |
| Muslim | 0.3% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 97.3% | |
| White | 1.2% | |
| Mixed | 1.2% | |
| Asian | 0.3% |
Economic Activity
| Category | % | |
|---|---|---|
| Full-Time Employee | 36.3% | |
| Retired | 26.8% | |
| Part-Time Employee | 11.6% | |
| Long-Term Sick or Disabled | 9.2% | |
| Self Employed (No Subordinates) | 5.6% | |
| Full-Time Student | 3.2% | |
| Looking After Home or Family | 2.5% | |
| Unemployed | 1.8% | |
| Other | 1.8% | |
| Self Employed (With Subordinates) | 1.4% |
Occupation Group
| Category | % | |
|---|---|---|
| Professional Occupations | 21.0% | |
| Process, Plant and Machine Operatives | 13.0% | |
| Managers, Directors and Senior Officials | 11.7% | |
| Associate Professional Occupations | 11.1% | |
| Administrative and Secretarial Occupations | 9.9% | |
| Elementary Occupations | 9.9% | |
| Skilled Trades Occupations | 9.3% | |
| Caring, Leisure and Other Service Occupations | 7.4% | |
| Sales and Customer Service Occupations | 6.8% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Supervisory, or Lower Managerial/Administrative/Professional | 21.1% | |
| Semi-Routine Occupation | 14.5% | |
| Intermediate Occupation | 13.8% | |
| Large Employer or Higher Managerial/Professional | 13.5% | |
| Routine Occupation | 13.1% | |
| Lower Technical or Supervisory Occupation | 7.3% | |
| Never Worked or Long-Term Unemployed | 6.2% | |
| Own Account Worker/Small Employer | 5.5% | |
| Full-time Student | 4.8% |
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.