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Postcodes · Mheer

Postcode 6261 Mheer

About 845 people live in postcode area 6261 in Mheer (municipality Eijsden-Margraten), in 390 households.

The average home value (WOZ) was €396,000 in 2023, up 55% from €255,000 in 2016.

80% of homes are owner-occupied, 11.1% are apartments and 25.9% were built before 1945.

Liveability is in the top 22% of Dutch postcode areas (Leefbaarometer 2024).

Check an address in 6261

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

Home values over time

2016€255,000
2017€255,000 +0%
2018€267,000 +4.7%
2019€284,000 +6.4%
2020€297,000 +4.6%
2021€315,000 +6.1%
2022€333,000 +5.7%
2023€396,000 +18.9%

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

Who lives here

Age 0–1410.7%
Age 15–248.9%
Age 25–4417.2%
Age 45–6430.8%
Age 65+33.1%
Single-person households30.8%
Families with children30.8%
Average household size2.2
Median household income–
Urbanityrural

CBS 2024

Homes

Homes405
Owner-occupied / rented80% / 20%
Social housing7.4%
Apartments11.1%
Built before 194525.9%
Built 2015 or later–
Average gas use1,330 m³ a year
Average electricity use3,020 kWh a year

Distance to everyday places

Supermarket1.9 km
GP0.9 km
Pharmacy5.7 km
Primary school0.6 km
Secondary school8.8 km
Daycare0.6 km
Train station7.5 km
Hospital9.6 km
Library6.1 km
Swimming pool7.7 km

Average road distance for residents, CBS.

Schools in 6261

Primary schoolDistanceTarget level reading / maths
Katholieke basisschool de Den
Roman Catholic · 193 pupils
Burgemeester Beckersweg 4563.6% / 31.8%

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 6261

Mheer

Crime, liveability breakdown and more per neighbourhood.

Nearby postcodes

6262 Banholt · 6265 Sint Geertruid · 6255 Noorbeek · 6267 Cadier en Keer · 6268 Bemelen · 6269 Margraten · 6252 Eckelrade · 6251 Eckelrade · 6271 Gulpen · 6273 Ingber

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