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Postcodes · Sambeek

Postcode 5836 Sambeek

About 1,840 people live in postcode area 5836 in Sambeek (municipality Land van Cuijk), in 770 households.

The average home value (WOZ) was €361,000 in 2023, up 41% from €256,000 in 2016.

80% of homes are owner-occupied, 6.6% are apartments and 15.9% were built before 1945.

Liveability is in the top 35% of Dutch postcode areas (Leefbaarometer 2024).

Check an address in 5836

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

Home values over time

2016€256,000
2017€261,000 +2%
2018€262,000 +0.4%
2019€268,000 +2.3%
2020€276,000 +3%
2021€286,000 +3.6%
2022€318,000 +11.2%
2023€361,000 +13.5%

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

Who lives here

Age 0–1412.5%
Age 15–2411.7%
Age 25–4420.9%
Age 45–6431%
Age 65+23.9%
Single-person households24%
Families with children37%
Average household size2.4
Median household income–
Urbanityrural

CBS 2024

Homes

Homes755
Owner-occupied / rented80% / 20%
Social housing6%
Apartments6.6%
Built before 194515.9%
Built 2015 or later15.9%
Average gas use1,050 m³ a year
Average electricity use3,260 kWh a year

Distance to everyday places

Supermarket2.2 km
GP1.7 km
Pharmacy2.6 km
Primary school0.6 km
Secondary school2.5 km
Daycare1.1 km
Train station2.8 km
Hospital5.7 km
Library2.4 km
Swimming pool2.4 km

Average road distance for residents, CBS.

Schools in 5836

Primary schoolDistanceTarget level reading / maths
De Bolster
Roman Catholic · 112 pupils
Grotestraat 68– / –

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 5836

Sambeek Centrum · Sambeek buitengebied

Crime, liveability breakdown and more per neighbourhood.

Nearby postcodes

5835 Beugen · 5831 Boxmeer · 5841 Oploo · 5843 Westerbeek · 5844 Stevensbeek · 5827 Vortum-Mullem · 5845 Sint Anthonis · 5826 Groeningen · 5846 Ledeacker · 5825 Overloon

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