Pilbe App
Property Data for DN18 6AQ
BARTON-UPON-HUMBER, NORTH LINCOLNSHIRE — House prices, crime rates & area statistics
Avg. property price
£152,556
Based on 9 recent sales
Most common type
Detached
100% of properties
Crime level
Low
42 crimes reported in April 2026
Top crime type
Violent Crime
23 incidents (55% of total)
Main tenure type
Owned Outright
56% of households
Largest age group
70-74
10% of residents
Recently sold here
See all sold prices →- 2, HIGHFIELD CRESCENT, BARTON-UPON-HUMBER, NORTH LINCOLNSHIRE, DN18 6AQ Detached · Sep 2024 £275,000
- 3, HIGHFIELD CRESCENT, BARTON-UPON-HUMBER, NORTH LINCOLNSHIRE, DN18 6AQ Detached · Aug 2021 £245,000
- 4, HIGHFIELD CRESCENT, BARTON-UPON-HUMBER, NORTH LINCOLNSHIRE, DN18 6AQ Detached · Nov 2018 £205,000
Explore DN18 6AQ
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 6AQ
There were 42 crimes reported in DN18 6AQ during April 2026. The most common category was Violent Crime accounting for 55% of all incidents. Public Order was the next highest with 7 reports.
42
Total Crimes
Most Common
Violent Crime (23)
| Category | Count | % | |
|---|---|---|---|
| Violent Crime | 23 | 55% | |
| Public Order | 7 | 17% | |
| Anti Social Behaviour | 3 | 7% | |
| Other Theft | 3 | 7% | |
| Criminal Damage Arson | 2 | 5% | |
| Bicycle Theft | 1 | 2% | |
| Burglary | 1 | 2% | |
| Drugs | 1 | 2% | |
| Shoplifting | 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 6AQ
DN18 6AQ is primarily a Owned Outright area with 56% of households in this category. The most common property type is Detached (78%). The largest age group is 70-74 making up 10% of the local population.
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 74.5% | |
| 1 Person Household | 23.4% | |
| Other Household | 2.1% |
Household Deprivation
| Category | % | |
|---|---|---|
| Not Deprived | 52.9% | |
| Deprived In One Dimension | 32.1% | |
| Deprived In Two Dimension | 13.6% | |
| Deprived In Three Dimension | 1.4% |
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 49.3% | |
| One Person | 22.2% | |
| Three People | 13.9% | |
| Four People | 11.1% | |
| Five People | 3.5% |
Housing Tenure
| Category | % | |
|---|---|---|
| Owned Outright | 55.7% | |
| Owned with Mortgage | 28.6% | |
| Rented: Private Landlord | 10.7% | |
| Rented: Other | 3.6% | |
| Rented: From Council | 0.7% | |
| Rented: Other Social | 0.7% |
Housing Types
| Category | % | |
|---|---|---|
| Detached | 77.9% | |
| Semi-Detached | 20.7% | |
| Terraced | 0.7% | |
| Flat (Purpose-Built) | 0.7% |
Age Groups
| Category | % | |
|---|---|---|
| 70-74 | 9.8% | |
| 55-59 | 9.5% | |
| 65-69 | 9.2% | |
| 75-79 | 8.2% | |
| 35-39 | 7.5% | |
| 60-64 | 6.5% | |
| 5-9 | 5.9% | |
| 50-54 | 5.6% | |
| 20-24 | 4.9% | |
| 25-29 | 4.9% | |
| 30-34 | 4.9% | |
| 40-44 | 4.2% | |
| 80-84 | 3.9% | |
| 45-49 | 3.6% | |
| 0-4 | 2.9% | |
| 15-19 | 2.9% | |
| 85+ | 2.9% | |
| 10-14 | 2.6% |
Gender
| Category | % | |
|---|---|---|
| Female | 53.9% | |
| Male | 46.1% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 57.7% | |
| Single | 27.9% | |
| Divorced | 7.4% | |
| Widowed | 6.3% | |
| Separated | 0.7% |
Education & Qualifications
| Category | % | |
|---|---|---|
| Degree or above, or Similar | 40.3% | |
| No GCSEs or Equivalent | 14.7% | |
| HNC, HND or 2+ A Levels | 13.6% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 12.5% | |
| 1-4 GCSEs or Equivalent | 9.9% | |
| Apprenticeship | 7.7% | |
| Other | 1.5% |
Health
| Category | % | |
|---|---|---|
| Very Good | 45.8% | |
| Good | 30.2% | |
| Fair | 16.2% | |
| Bad | 4.9% | |
| Very Bad | 2.9% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 82.8% | |
| None | 17.2% |
Religion
| Category | % | |
|---|---|---|
| Christian | 61.4% | |
| No Religion | 31.5% | |
| Not Started | 6.8% | |
| Other Religion | 0.3% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 95.1% | |
| 10+ Years | 4.2% | |
| 5-10 Years | 0.6% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 98.4% | |
| Middle East | 1.6% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 97.7% | |
| White | 1.6% | |
| Asian | 0.6% |
Economic Activity
| Category | % | |
|---|---|---|
| Retired | 42.1% | |
| Full-Time Employee | 30.4% | |
| Part-Time Employee | 9.2% | |
| Self Employed (No Subordinates) | 4.4% | |
| Long-Term Sick or Disabled | 4.0% | |
| Other | 2.9% | |
| Looking After Home or Family | 2.6% | |
| Full-Time Student | 2.2% | |
| Self Employed (With Subordinates) | 1.8% | |
| Unemployed | 0.4% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Supervisory, or Lower Managerial/Administrative/Professional | 26.4% | |
| Large Employer or Higher Managerial/Professional | 16.1% | |
| Intermediate Occupation | 11.7% | |
| Semi-Routine Occupation | 11.0% | |
| Routine Occupation | 8.8% | |
| Lower Technical or Supervisory Occupation | 8.4% | |
| Never Worked or Long-Term Unemployed | 8.1% | |
| Own Account Worker/Small Employer | 6.2% | |
| Full-time Student | 3.3% |
Occupation Group
| Category | % | |
|---|---|---|
| Professional Occupations | 26.6% | |
| Managers, Directors and Senior Officials | 16.1% | |
| Associate Professional Occupations | 11.3% | |
| Skilled Trades Occupations | 8.9% | |
| Administrative and Secretarial Occupations | 8.1% | |
| Process, Plant and Machine Operatives | 8.1% | |
| Elementary Occupations | 8.1% | |
| Caring, Leisure and Other Service Occupations | 6.5% | |
| Sales and Customer Service Occupations | 6.5% |
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.