FACTLINE
Postcodes · Rolde

Postcode 9451 Rolde

About 3,715 people live in postcode area 9451 in Rolde (municipality Aa en Hunze), in 1,725 households.

The average home value (WOZ) was €325,000 in 2023, up 51% from €215,000 in 2016.

70% of homes are owner-occupied, 19.1% are apartments and 8.8% were built before 1945.

Liveability is in the top 25% of Dutch postcode areas (Leefbaarometer 2024).

Check an address in 9451

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

Home values over time

2016€215,000
2017€221,000 +2.8%
2018€229,000 +3.6%
2019€240,000 +4.8%
2020€255,000 +6.3%
2021€270,000 +5.9%
2022€283,000 +4.8%
2023€325,000 +14.8%

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

Who lives here

Age 0–1412.2%
Age 15–248.5%
Age 25–4415.7%
Age 45–6426%
Age 65+37.6%
Single-person households33.9%
Families with children25.8%
Average household size2.1
Median household income–
Urbanityrural

CBS 2024

Homes

Homes1,885
Owner-occupied / rented70% / 30%
Social housing25.2%
Apartments19.1%
Built before 19458.8%
Built 2015 or later0.8%
Average gas use1,090 m³ a year
Average electricity use2,470 kWh a year

Distance to everyday places

Supermarket0.9 km
GP0.8 km
Pharmacy1 km
Primary school0.9 km
Secondary school5.8 km
Daycare0.7 km
Train station6.4 km
Hospital7.4 km
Library1.3 km
Swimming pool8.9 km

Average road distance for residents, CBS.

Schools in 9451

Primary schoolDistanceTarget level reading / maths
Basisschool Jan Thies
public (non-denominational) · 308 pupils
Menso Altinglaan 482.4% / 40%

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 9451

Rolde · Verspreide huizen Rolde

Crime, liveability breakdown and more per neighbourhood.

Nearby postcodes

9452 Nijlande · 9449 Nooitgedacht · 9453 Eldersloo · 9448 Marwijksoord · 9454 Ekehaar · 9447 Papenvoort · 9446 Amen · 9457 Deurze · 9444 Grolloo · 9458 Balloo

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