FACTLINE
Postcodes · Rhenoy

Postcode 4152 Rhenoy

About 900 people live in postcode area 4152 in Rhenoy (municipality West Betuwe), in 355 households.

The average home value (WOZ) was €465,000 in 2023, up 64% from €283,000 in 2016.

80% of homes are owner-occupied, 5.4% are apartments and 20.3% were built before 1945.

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

Check an address in 4152

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

Home values over time

2016€283,000
2017€279,000 -1.4%
2018€283,000 +1.4%
2019€299,000 +5.7%
2020€343,000 +14.7%
2021€352,000 +2.6%
2022€405,000 +15.1%
2023€465,000 +14.8%

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

Who lives here

Age 0–1417.2%
Age 15–2411.7%
Age 25–4422.2%
Age 45–6430.6%
Age 65+18.3%
Single-person households23.9%
Families with children40.8%
Average household size2.5
Median household income–
Urbanityrural

CBS 2024

Homes

Homes370
Owner-occupied / rented80% / 20%
Social housing12.2%
Apartments5.4%
Built before 194520.3%
Built 2015 or later23%
Average gas use1,030 m³ a year
Average electricity use3,270 kWh a year

Distance to everyday places

Supermarket4 km
GP3.9 km
Pharmacy3.8 km
Primary school1.7 km
Secondary school5.7 km
Daycare1.6 km
Train station4 km
Hospital4.3 km
Library5.3 km
Swimming pool5.9 km

Average road distance for residents, CBS.

Schools in 4152

Primary schoolDistanceTarget level reading / maths
De Bloeiende Betuwe
public (non-denominational) · 90 pupils
Rhenoyseweg 34100% / 41.2%

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 4152

Rhenoy · Rhenoy e.o.

Crime, liveability breakdown and more per neighbourhood.

Nearby postcodes

4151 Acquoy · 4153 Beesd · 4155 Gellicum · 4156 Rumpt · 4147 Asperen · 4157 Enspijk · 4158 Deil · 4145 Schoonrewoerd · 4143 Leerdam · 4161 Heukelum

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