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Postcodes · Nispen

Postcode 4709 Nispen

About 1,810 people live in postcode area 4709 in Nispen (municipality Roosendaal), in 910 households.

The average home value (WOZ) was €407,000 in 2023, up 45% from €280,000 in 2016.

80% of homes are owner-occupied, 3.6% are apartments and 19.3% were built before 1945.

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

Check an address in 4709

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

Home values over time

2016€280,000
2017€282,000 +0.7%
2018€301,000 +6.7%
2019€297,000 -1.3%
2020€315,000 +6.1%
2021€327,000 +3.8%
2022€366,000 +11.9%
2023€407,000 +11.2%

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

Who lives here

Age 0–1412.7%
Age 15–2411.9%
Age 25–4424.3%
Age 45–6430.4%
Age 65+20.7%
Single-person households47.3%
Families with children26.4%
Average household size2
Median household income–
Urbanityrural

CBS 2024

Homes

Homes700
Owner-occupied / rented80% / 20%
Social housing15.7%
Apartments3.6%
Built before 194519.3%
Built 2015 or later3.6%
Average gas use1,110 m³ a year
Average electricity use3,260 kWh a year

Distance to everyday places

Supermarket4.5 km
GP1.3 km
Pharmacy1.3 km
Primary school0.9 km
Secondary school5.8 km
Daycare0.9 km
Train station7 km
Hospital6.7 km
Library6.4 km
Swimming pool7.8 km

Average road distance for residents, CBS.

Schools in 4709

Primary schoolDistanceTarget level reading / maths
KPO Basisschool De Linde
Roman Catholic · 123 pupils
Dorpsstraat 71– / –

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 4709

Nispen · Verspreide huizen Nispen

Crime, liveability breakdown and more per neighbourhood.

Nearby postcodes

4708 Roosendaal · 4707 Roosendaal · 4711 St. Willebrord · 4706 Roosendaal · 4705 Roosendaal · 4704 Roosendaal · 4714 Sprundel · 4703 Roosendaal · 4715 Rucphen · 4702 Roosendaal

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