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Property Data for TR11 4DP
FALMOUTH, CORNWALL — House prices, crime rates & area statistics
Avg. property price
£605,961
Based on 13 recent sales
Most common type
Flat/Maisonette
85% of properties
Crime level
Moderate
161 crimes reported in April 2026
Top crime type
Shoplifting
51 incidents (32% of total)
Main tenure type
Owned Outright
68% of households
Largest age group
70-74
13% of residents
Recently sold here
See all sold prices →- 11, QUEEN MARY HOUSE, QUEEN MARY ROAD, FALMOUTH, CORNWALL, TR11 4DP Other · Mar 2025 £962,495
- 5, QUEEN MARY HOUSE, QUEEN MARY ROAD, FALMOUTH, CORNWALL, TR11 4DP Flat/Maisonette · Jul 2021 £575,000
- 7, QUEEN MARY HOUSE, QUEEN MARY ROAD, FALMOUTH, CORNWALL, TR11 4DP Flat/Maisonette · May 2018 £530,000
Explore TR11 4DP
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 TR11 4DP
There were 161 crimes reported in TR11 4DP during April 2026. The most common category was Shoplifting accounting for 32% of all incidents. Violent Crime was the next highest with 46 reports.
161
Total Crimes
Most Common
Shoplifting (51)
| Category | Count | % | |
|---|---|---|---|
| Shoplifting | 51 | 32% | |
| Violent Crime | 46 | 29% | |
| Anti Social Behaviour | 18 | 11% | |
| Public Order | 10 | 6% | |
| Vehicle Crime | 10 | 6% | |
| Criminal Damage Arson | 9 | 6% | |
| Other Theft | 7 | 4% | |
| Burglary | 4 | 2% | |
| Other | 6 | 4% |
Policing area: Arwenack & Boslowick — Force website ↗
Data source: police.uk open data. Covers street-level crime and policing data for England, Wales and Northern Ireland.
Area Statistics for TR11 4DP
TR11 4DP is primarily a Owned Outright area with 68% of households in this category. The most common property type is Detached (73%). The largest age group is 70-74 making up 13% of the local population.
Housing Tenure
| Category | % | |
|---|---|---|
| Owned Outright | 67.6% | |
| Owned with Mortgage | 19.6% | |
| Rented: Private Landlord | 8.8% | |
| Rented: Other | 3.9% |
Housing Types
| Category | % | |
|---|---|---|
| Detached | 72.5% | |
| Semi-Detached | 7.8% | |
| Flat (Converted) | 7.8% | |
| Terraced | 6.9% | |
| Flat (Purpose-Built) | 4.9% |
Household Deprivation
| Category | % | |
|---|---|---|
| Not Deprived | 56.9% | |
| Deprived In One Dimension | 34.3% | |
| Deprived In Two Dimension | 7.8% | |
| Deprived In Three Dimension | 1.0% |
Household Composition
| Category | % | |
|---|---|---|
| Family Household | 67.6% | |
| 1 Person Household | 28.4% | |
| Other Household | 3.9% |
Housing Occupancy
| Category | % | |
|---|---|---|
| Two People | 46.1% | |
| One Person | 28.4% | |
| Three People | 14.7% | |
| Four People | 9.8% | |
| Five People | 1.0% |
Health
| Category | % | |
|---|---|---|
| Very Good | 49.3% | |
| Good | 35.2% | |
| Fair | 12.7% | |
| Bad | 2.8% |
Relationship Status
| Category | % | |
|---|---|---|
| Married | 64.5% | |
| Single | 15.1% | |
| Widowed | 9.7% | |
| Divorced | 7.5% | |
| Separated | 3.2% |
Gender
| Category | % | |
|---|---|---|
| Female | 54.7% | |
| Male | 45.3% |
Education & Qualifications
| Category | % | |
|---|---|---|
| Degree or above, or Similar | 51.1% | |
| HNC, HND or 2+ A Levels | 15.2% | |
| No GCSEs or Equivalent | 9.8% | |
| 5+ GCSEs, an A-Level or 1-2 AS Levels | 9.2% | |
| Apprenticeship | 5.4% | |
| 1-4 GCSEs or Equivalent | 5.4% | |
| Other | 3.8% |
Age Groups
| Category | % | |
|---|---|---|
| 70-74 | 13.2% | |
| 75-79 | 11.8% | |
| 65-69 | 10.8% | |
| 60-64 | 9.9% | |
| 40-44 | 6.1% | |
| 55-59 | 6.1% | |
| 85+ | 6.1% | |
| 5-9 | 4.7% | |
| 10-14 | 4.7% | |
| 45-49 | 4.7% | |
| 50-54 | 4.7% | |
| 80-84 | 4.7% | |
| 0-4 | 2.8% | |
| 25-29 | 2.8% | |
| 20-24 | 2.4% | |
| 35-39 | 1.9% | |
| 30-34 | 1.4% | |
| 15-19 | 0.9% |
Country of Birth
| Category | % | |
|---|---|---|
| Europe | 93.4% | |
| Africa | 2.4% | |
| Middle East | 2.4% | |
| The Americas | 1.9% |
Length of Residence
| Category | % | |
|---|---|---|
| Born in The United Kingdom | 90.1% | |
| 10+ Years | 8.5% | |
| 5-10 Years | 0.9% | |
| 2-5 Years | 0.5% |
Religion
| Category | % | |
|---|---|---|
| Christian | 51.4% | |
| No Religion | 37.7% | |
| Not Started | 8.5% | |
| Other Religion | 1.4% | |
| Hindu | 0.5% | |
| Sikh | 0.5% |
Passport(s) Held
| Category | % | |
|---|---|---|
| Europe | 93.0% | |
| None | 5.6% | |
| The Americas | 1.4% |
Ethnic Group
| Category | % | |
|---|---|---|
| Black | 94.4% | |
| Asian | 2.3% | |
| Other | 1.9% | |
| Mixed | 0.9% | |
| White | 0.5% |
Occupation Group
| Category | % | |
|---|---|---|
| Managers, Directors and Senior Officials | 28.6% | |
| Professional Occupations | 25.4% | |
| Associate Professional Occupations | 12.7% | |
| Administrative and Secretarial Occupations | 9.5% | |
| Skilled Trades Occupations | 9.5% | |
| Caring, Leisure and Other Service Occupations | 6.3% | |
| Elementary Occupations | 4.8% | |
| Process, Plant and Machine Operatives | 3.2% |
Socio-Economic Classification
| Category | % | |
|---|---|---|
| Supervisory, or Lower Managerial/Administrative/Professional | 28.8% | |
| Own Account Worker/Small Employer | 21.7% | |
| Large Employer or Higher Managerial/Professional | 18.5% | |
| Intermediate Occupation | 12.0% | |
| Routine Occupation | 7.1% | |
| Never Worked or Long-Term Unemployed | 4.3% | |
| Lower Technical or Supervisory Occupation | 2.7% | |
| Full-time Student | 2.7% | |
| Semi-Routine Occupation | 2.2% |
Economic Activity
| Category | % | |
|---|---|---|
| Retired | 56.2% | |
| Full-Time Employee | 16.2% | |
| Self Employed (No Subordinates) | 8.6% | |
| Part-Time Employee | 5.9% | |
| Self Employed (With Subordinates) | 3.8% | |
| Looking After Home or Family | 2.7% | |
| Unemployed | 1.6% | |
| Full-Time Student | 1.6% | |
| Long-Term Sick or Disabled | 1.6% | |
| Other | 1.6% |
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.