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Upper Shirley

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About

Upper Shirley sits in the eastern suburbs of Southampton and is mainly residential. Streets contain a mix of Victorian terraces, interwar semi-detached houses and later developments, with pockets of shops and services clustered along Shirley High Street. The parade there includes convenience stores, cafés and a community hall that hosts local groups and activities. Primary schools, a GP surgery and everyday amenities are within walking distance for many residents, and regular bus services link the area with the city centre and other parts of Southampton.

Parks and sports pitches are woven through the neighbourhood, and a line of allotments provides garden plots close to housing. Several streets still show original 1930s bay windows and pebble-dash façades, a detail that marks the area’s growth in that decade. Upper Shirley’s mix of housing types, short local shopping streets and community-run facilities make it a practical base for families and commuters who need straightforward access to the rest of the city.

Area overview

On average Upper Shirley has low deprivation and low crime levels, with around 50 crimes per 1,000 residents per year, about 41% below the South East average of 84 per 1,000. Approximately 5.5% of homes in this area are social housing provided by a local council or housing association. The average income per household in Upper Shirley is £73,053 per year. There are 3 schools in Upper Shirley: 2 primary (0 Outstanding and 2 Good) and 1 secondary (0 Outstanding and 1 Good). Upper Shirley is home to around 7,837 people, with a population density of about 3,176.7 per km².

Crime rate
4/10
Crimes per 1k residents
50
Deprivation level
3/10
Income level
8/10
Social housing
5.5%
Connectivity
N/A

Area Profile

Upper Shirley Population
7,837
Population density
3,176.7 per km²

Crime

Crime per 1,000 population

Violence and sexual offences
23.99(-24%)
Anti-social behaviour
8.8(-28%)
Public order
6(-1%)
Shoplifting
4.72(-41%)
Vehicle crime
4.47(+20%)
South East average

Demographics

Ethnic groups

British
5,491
70.08%
Other White
818
10.44%
Indian
419
5.35%
Other Asian
201
2.57%
Other
140
1.79%
Total population: 7,835

Economics

Education (age 16+)

Level 4+ (Degree)
2,942
46.91%
Level 3 (A level)
949
15.13%
Level 2 (GCSEs 9-4)
752
11.99%
No qualifications
705
11.24%
Level 1 (GCSEs 3-1)
466
7.43%
Total 16+ residents: 6,271

Housing

Housing tenure

Owns outright
1,175
38.6%
Owns with a mortgage
1,081
35.51%
Private landlord or letting agency
536
17.61%
Other social rented
116
3.81%
Social rents from council
71
2.33%
Total households: 3,044

Property prices in Upper Shirley

Median price£422,000
Price per sq ft£335
Sales (last 12 months)75
Typical range (middle 50%)£294K – £495K

Based on 75 recent sales, the median property price is £422,000 (about £335 per square foot) in Upper Shirley area, with individual transactions ranging from £130,000 up to £775,000.

Prices by property typelast 12 months

Median sale price, median price per square foot, sales count, and percentile information for each property type in Upper Shirley over the last year.
TypeSalesMedian£/sq ft
Detached24£495,000£352
Semi-Detached30£442,882£357
Terraced10£350,500£316
Flats11£195,000£283

10-year price trendmedian sale price in Upper Shirley

Sale price

Ten year median sale price trend for each property type in Upper Shirley.
YearDetachedFlatsSemi-DetachedTerraced
2016£412,356£155,500£340,000£233,500
2017£416,250£177,750£370,000£262,250
2018£392,500£177,000£368,500£255,000
2019£431,250£171,000£373,750£266,000
2020£460,000£161,250£355,000£250,000
2021£517,500£179,000£382,500£277,500
2022£512,750£174,000£412,500£295,750
2023£507,500£202,500£430,000£345,000
2024£475,000£197,500£420,000£350,625
2025£535,000£196,500£440,000£338,000
2026£490,000£186,250£436,000£372,000
Ten year median sale price trend for each property type in Upper Shirley.

Price per sq ft

Ten year median sale price per square foot trend for each property type in Upper Shirley.
YearDetachedFlatsSemi-DetachedTerraced
2016£312£263£262£255
2017£293£261£314£255
2018£326£267£299£252
2019£287£236£288£243
2020£307£255£301£264
2021£355£245£328£275
2022£383£304£354£316
2023£378£293£354£331
2024£354£296£344£340
2025£369£285£354£315
2026£337£265£355£317
Ten year median sale price per square foot trend for each property type in Upper Shirley.

Price distribution by property typelast 12 months

Price distribution by property type for Upper Shirley in the last year.

Frequently asked questions about Upper Shirley

Is Upper Shirley safe?

Upper Shirley records about 50 crimes per 1,000 residents per year, which is a low crime rate for England: it scores 4 out of 10 on the Area360 crime scale, where 10 is the highest crime level.

What is the average house price in Upper Shirley?

The median sale price in Upper Shirley is £422,000 (about £335 per square foot) based on 75 registered sales according to HM Land Registry data.

Are there good schools in Upper Shirley?

Upper Shirley has 2 primary schools (2 Good) and 1 secondary school (1 Good). Ratings are from the latest Ofsted inspections.

How deprived is Upper Shirley?

Upper Shirley scores 3 out of 10 on the deprivation scale, where 10 is the most deprived. The typical neighbourhood in Upper Shirley sits around rank 22,778 of 32,844 in England on the official Index of Multiple Deprivation (rank 1 is the most deprived).

What is the average household income in Upper Shirley?

The average household income in Upper Shirley is around £73,053 per year, and 6% of homes are social housing (ONS data).

All postcodes in Upper Shirley

SO155NP

Twyford Avenue

SO166TP

Winchester Road

SO157RF

Shanklin Road

SO155JZ

Shayer Road

SO155HD

St James Road

SO157RA

Bellemoor Road

SO157QX

Bellemoor Road

SO155HN

Bridlington Avenue

SO153TS

Church End

SO157NU

Hill Lane

SO166HL

St James Park Road

SO157QU

Bellemoor Road

SO157QY

Bellemoor Road

SO166QF

Dale Road

SO153JD

Shirley Road

SO166HN

Vinery Road

SO166TR

Winchester Road

SO155NL

Upper Shirley Avenue

SO157QW

Bellemoor Road

SO153JF

Shirley Road

SO157RE

Shanklin Road

SO155NZ

Twyford Avenue

SO157QE

Wilton Crescent

SO155LZ

St James Road

SO155PT

Howards Grove

SO155RU

Wilton Road

SO155GY

Whithedwood Avenue

SO155JS

Wilton Road

SO155RL

Bellemoor Road

SO157QA

Pirrie Close

SO157RP

Luccombe Road

SO155JB

South View Road

SO155HP

Bridlington Avenue

SO157QJ

Darlington Gardens

SO157NY

Leicester Road

SO166UB

Winchester Road

SO155JH

Wilton Road

SO155JP

Wilton Road

SO155NA

St James Close

SO155JU

Wilton Road

SO155NW

Twyford Avenue

SO155UQ

Hill Lane

SO166QJ

Dale Road

SO155PS

Howards Grove

SO155AN

Hanley Road

SO157RQ

Luccombe Place

SO155GE

Gurney Road

SO155GT

Janson Road

SO155HS

Dawlish Avenue

SO157PF

Warwick Road

SO155HJ

St James Road

SO157PE

Warwick Road

SO155GR

Reynolds Road

SO155NU

Bourne Avenue

SO155FZ

Treeside Road

SO157QR

Wilton Gardens

SO157PS

Kellett Road

SO155NX

Branksome Avenue

SO157NG

Atherley Court

SO155JE

Evelyn Crescent

SO157RJ

Luccombe Road

SO157NS

Hill Lane

SO155HE

St James Road

SO155GH

Bramston Road

SO157RH

Luccombe Road

SO166UG

Winchester Road

SO157PU

Radway Crescent

SO155JQ

Wilton Road

SO155JJ

Wilton Road

SO155HR

Dawlish Avenue

SO155HG

Darlington Gardens

SO157NW

Hill Lane

SO157PW

Radway Road

SO155GP

Cunard Avenue

SO155FG

St James Road

SO155NJ

Shirley Avenue

SO155LA

Wilton Road

SO155HY

Wilton Road

SO155AG

Raymond Road

SO155HX

Wilton Road

SO155GA

Mulberry Walk

SO157NR

Hill Lane

SO155NQ

Twyford Avenue

SO166TY

Fuchsia Gardens

SO155GW

Cedar Avenue

SO155QG

St James Road

SO157NQ

Hill Lane

SO155HH

Darlington Gardens

SO155TA

Janson Road

SO155NY

Branksome Avenue

SO157QG

Wilton Crescent

SO157PQ

Kineton Road

SO155GN

Cunard Avenue

SO157AF

Cemetery Road

SO166TS

Winchester Road

SO155GX

Cedar Avenue

SO155NS

Colebrook Avenue

SO155HQ

Dawlish Avenue

SO155QB

Bellemoor Road

SO155FX

Janson Road

Data Sources

All data is sourced from official UK government agencies and public datasets. Last updated: 16/07/2026. Read more about how our statistics are calculated.