FACTLINE
Postcodes · Groningen

Postcode 9733 Groningen

About 3,630 people live in postcode area 9733 in Groningen, in 1,850 households.

The average home value (WOZ) was €234,000 in 2023, up 93% from €121,000 in 2016.

40% of homes are owner-occupied, 48% are apartments and –% were built before 1945.

Liveability is in the top 85% of Dutch postcode areas (Leefbaarometer 2024).

Check an address in 9733

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

Home values over time

2016€121,000
2017€124,000 +2.5%
2018€130,000 +4.8%
2019€138,000 +6.2%
2020€153,000 +10.9%
2021€166,000 +8.5%
2022€187,000 +12.7%
2023€234,000 +25.1%

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

Who lives here

Age 0–1416.4%
Age 15–2410.3%
Age 25–4424.5%
Age 45–6423%
Age 65+25.8%
Single-person households47.3%
Families with children29.2%
Average household size1.9
Median household income–
Urbanitymoderately urban

CBS 2024

Homes

Homes1,845
Owner-occupied / rented40% / 60%
Social housing53.9%
Apartments48%
Built before 1945–
Built 2015 or later1.9%
Average gas use720 m³ a year
Average electricity use2,000 kWh a year

Distance to everyday places

Supermarket0.4 km
GP0.5 km
Pharmacy0.5 km
Primary school0.7 km
Secondary school1.7 km
Daycare0.3 km
Train station6 km
Hospital4.8 km
Library0.5 km
Swimming pool2.1 km

Average road distance for residents, CBS.

Schools in 9733

Primary schoolDistanceTarget level reading / maths
Basisschool Swoaistee
public (non-denominational) · 349 pupils
Kiel 768.4% / 37.5%

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 9733

Lewenborg-Noord

Crime, liveability breakdown and more per neighbourhood.

Nearby postcodes

9732 Groningen · 9734 Groningen · 9731 Groningen · 9735 Groningen · 9736 Groningen · 9737 Groningen · 9728 Groningen · 9738 Groningen · 9727 Groningen · 9726 Groningen

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