FACTLINE
Postcodes · Wanssum

Postcode 5861 Wanssum

About 1,880 people live in postcode area 5861 in Wanssum (municipality Venray), in 820 households.

The average home value (WOZ) was €316,000 in 2023, up 46% from €216,000 in 2016.

90% of homes are owner-occupied, 3% are apartments and 11% were built before 1945.

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

Check an address in 5861

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

Home values over time

2016€216,000
2017€217,000 +0.5%
2018€220,000 +1.4%
2019€235,000 +6.8%
2020€240,000 +2.1%
2021€254,000 +5.8%
2022€281,000 +10.6%
2023€316,000 +12.5%

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

Who lives here

Age 0–1414.4%
Age 15–2410.1%
Age 25–4421.8%
Age 45–6428.2%
Age 65+25.3%
Single-person households28.7%
Families with children33.5%
Average household size2.3
Median household income–
Urbanityrural

CBS 2024

Homes

Homes820
Owner-occupied / rented90% / 10%
Social housing6.7%
Apartments3%
Built before 194511%
Built 2015 or later1.8%
Average gas use1,120 m³ a year
Average electricity use3,180 kWh a year

Distance to everyday places

Supermarket0.8 km
GP3.1 km
Pharmacy3.1 km
Primary school0.8 km
Secondary school8 km
Daycare0.8 km
Train station5.6 km
Hospital9.3 km
Library8.5 km
Swimming pool7 km

Average road distance for residents, CBS.

Schools in 5861

Primary schoolDistanceTarget level reading / maths
Basisschool De Peddepoel
Roman Catholic · 164 pupils
Gouverneur Houbenstraat 5587.5% / 38.9%

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 5861

Wanssum

Crime, liveability breakdown and more per neighbourhood.

Nearby postcodes

5862 Geijsteren · 5863 Blitterswijck · 5864 Meerlo · 5865 Tienray · 5856 Wellerlooi · 5866 Swolgen · 5855 Well L · 5854 Bergen L · 5853 Siebengewald · 5851 Afferden L

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