FACTLINE
Postcodes · Groningen

Postcode 9714 Groningen

About 6,540 people live in postcode area 9714 in Groningen, in 4,610 households.

The average home value (WOZ) was €266,000 in 2023, up 90% from €140,000 in 2016.

30% of homes are owner-occupied, 86.7% are apartments and 70.2% were built before 1945.

Liveability is in the top 78% of Dutch postcode areas (Leefbaarometer 2024).

Check an address in 9714

Year built, floor area and neighbourhood facts for one home. Free.

Home values over time

2016€140,000
2017€145,000 +3.6%
2018€157,000 +8.3%
2019€165,000 +5.1%
2020€182,000 +10.3%
2021€201,000 +10.4%
2022€226,000 +12.4%
2023€266,000 +17.7%

Average WOZ value (municipal tax valuation) of homes in this postcode area, CBS.

Who lives here

Age 0–147.2%
Age 15–2439.3%
Age 25–4435.7%
Age 45–6411.9%
Age 65+6%
Single-person households71.7%
Families with children9%
Average household size1.4
Median household income–
Urbanityvery strongly urban

CBS 2024

Homes

Homes3,335
Owner-occupied / rented30% / 70%
Social housing20.4%
Apartments86.7%
Built before 194570.2%
Built 2015 or later12.3%
Average gas use740 m³ a year
Average electricity use1,770 kWh a year

Distance to everyday places

Supermarket0.6 km
GP0.7 km
Pharmacy0.7 km
Primary school0.8 km
Secondary school1.1 km
Daycare0.4 km
Train station1.7 km
Hospital1.7 km
Library2 km
Swimming pool2 km

Average road distance for residents, CBS.

Schools in 9714

Primary schoolDistanceTarget level reading / maths
St. Franciscus
Roman Catholic · 231 pupils
Star Numanstraat 5292.9% / 71.4%

Share of pupils leaving at the target level (2F reading, 1S maths) on the end-of-primary test, 2024. National: 73.7% / 43.3%.

Neighbourhoods in 9714

Professorenbuurt

Crime, liveability breakdown and more per neighbourhood.

Nearby postcodes

9713 Groningen · 9715 Groningen · 9712 Groningen · 9716 Groningen · 9711 Groningen · 9717 Groningen · 9718 Groningen · 9721 Groningen · 9722 Groningen · 9723 Groningen

Sources: CBS Statistieken per postcode (via PDOK), Leefbaarometer 3.0. Figures are averages for the postcode area. AI agents: factline.dev/llms.txt.