FACTLINE
Postcodes · Moorveld

Postcode 6237 Moorveld

About 325 people live in postcode area 6237 in Moorveld (municipality Meerssen), in 150 households.

The average home value (WOZ) was €349,000 in 2023, up 65% from €212,000 in 2016.

90% of homes are owner-occupied, 10.3% are apartments and 17.2% were built before 1945.

Liveability is in the top 45% of Dutch postcode areas (Leefbaarometer 2024).

Check an address in 6237

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

Home values over time

2016€212,000
2017€217,000 +2.4%
2018€233,000 +7.4%
2019€249,000 +6.9%
2020€266,000 +6.8%
2021€260,000 -2.3%
2022€294,000 +13.1%
2023€349,000 +18.7%

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

Who lives here

Age 0–149.2%
Age 15–2410.8%
Age 25–4421.5%
Age 45–6435.4%
Age 65+23.1%
Single-person households26.7%
Families with children30%
Average household size2.2
Median household income–
Urbanityrural

CBS 2024

Homes

Homes145
Owner-occupied / rented90% / 10%
Social housing–
Apartments10.3%
Built before 194517.2%
Built 2015 or later–
Average gas use1,070 m³ a year
Average electricity use3,370 kWh a year

Distance to everyday places

Supermarket3.1 km
GP1.7 km
Pharmacy3.5 km
Primary school0.4 km
Secondary school5.8 km
Daycare0.4 km
Train station3.4 km
Hospital9.2 km
Library3.6 km
Swimming pool4.8 km

Average road distance for residents, CBS.

Schools in 6237

Primary schoolDistanceTarget level reading / maths
Basisschool Ondersteboven
Roman Catholic · 108 pupils
Hagendoornweg 2– / –

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 6237

Hussenberg met Snijdersberg · Moorveld

Crime, liveability breakdown and more per neighbourhood.

Nearby postcodes

6235 Ulestraten · 6241 Bunde · 6231 Meerssen · 6243 Geulle · 6229 Maastricht · 6245 Eijsden · 6228 Maastricht · 6227 Maastricht · 6247 Gronsveld · 6226 Maastricht

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