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Postcodes · Vortum-Mullem

Postcode 5827 Vortum-Mullem

About 795 people live in postcode area 5827 in Vortum-Mullem (municipality Land van Cuijk), in 290 households.

The average home value (WOZ) was €406,000 in 2023, up 36% from €299,000 in 2016.

90% of homes are owner-occupied, 3.6% are apartments and 23.2% were built before 1945.

Liveability is in the top 52% of Dutch postcode areas (Leefbaarometer 2024).

Check an address in 5827

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

Home values over time

2016€299,000
2017€302,000 +1%
2018€304,000 +0.7%
2019€308,000 +1.3%
2020€306,000 -0.6%
2021€314,000 +2.6%
2022€355,000 +13.1%
2023€406,000 +14.4%

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

Who lives here

Age 0–1414.5%
Age 15–2414.5%
Age 25–4422.6%
Age 45–6430.8%
Age 65+17.6%
Single-person households19%
Families with children46.6%
Average household size2.8
Median household income–
Urbanityrural

CBS 2024

Homes

Homes280
Owner-occupied / rented90% / 10%
Social housing3.6%
Apartments3.6%
Built before 194523.2%
Built 2015 or later16.1%
Average gas use1,130 m³ a year
Average electricity use3,990 kWh a year

Distance to everyday places

Supermarket3.8 km
GP3.7 km
Pharmacy4.3 km
Primary school0.7 km
Secondary school4.6 km
Daycare0.7 km
Train station4 km
Hospital7.9 km
Library4.1 km
Swimming pool4.5 km

Average road distance for residents, CBS.

Schools in 5827

Primary schoolDistanceTarget level reading / maths
Sint Annaschool
Roman Catholic · 60 pupils
Sint Cornelisstraat 14– / –

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 5827

Vortum-Mullem Centrum · Vortum-Mullem buitengebied

Crime, liveability breakdown and more per neighbourhood.

Nearby postcodes

5826 Groeningen · 5825 Overloon · 5824 Holthees · 5823 Maashees · 5831 Boxmeer · 5821 Vierlingsbeek · 5835 Beugen · 5836 Sambeek · 5817 Smakt · 5816 Vredepeel

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