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Postcodes · Lepelstraat

Postcode 4664 Lepelstraat

About 1,915 people live in postcode area 4664 in Lepelstraat (municipality Bergen op Zoom), in 830 households.

The average home value (WOZ) was €365,000 in 2023, up 54% from €237,000 in 2016.

70% of homes are owner-occupied, 4.1% are apartments and 18.8% were built before 1945.

Liveability is in the top 58% of Dutch postcode areas (Leefbaarometer 2024).

Check an address in 4664

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

Home values over time

2016€237,000
2017€240,000 +1.3%
2018€241,000 +0.4%
2019€252,000 +4.6%
2020€269,000 +6.7%
2021€284,000 +5.6%
2022€324,000 +14.1%
2023€365,000 +12.7%

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

Who lives here

Age 0–1412.5%
Age 15–2410.2%
Age 25–4419.1%
Age 45–6431.6%
Age 65+26.6%
Single-person households27.1%
Families with children32.5%
Average household size2.2
Median household income–
Urbanityrural

CBS 2024

Homes

Homes850
Owner-occupied / rented70% / 30%
Social housing25.9%
Apartments4.1%
Built before 194518.8%
Built 2015 or later2.4%
Average gas use1,040 m³ a year
Average electricity use3,110 kWh a year

Distance to everyday places

Supermarket3.4 km
GP2.2 km
Pharmacy2.8 km
Primary school0.8 km
Secondary school3 km
Daycare0.8 km
Train station8.2 km
Hospital6.2 km
Library3.1 km
Swimming pool4.4 km

Average road distance for residents, CBS.

Schools in 4664

Primary schoolDistanceTarget level reading / maths
RK Basisschool De Wegwijzer
Roman Catholic · 79 pupils
Wethouder Bogersstraat 1-A– / –

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 4664

Lepelstraat · Verspreide huizen Kladde · Verspreide huizen Klutsdorp · Verspreide huizen Oud Glymespolder

Crime, liveability breakdown and more per neighbourhood.

Nearby postcodes

4661 Halsteren · 4671 Dinteloord · 4655 De Heen · 4675 Sint Philipsland · 4652 Steenbergen · 4651 Steenbergen

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