FACTLINE
Postcodes · Geervliet

Postcode 3211 Geervliet

About 1,620 people live in postcode area 3211 in Geervliet (municipality Nissewaard), in 775 households.

The average home value (WOZ) was €302,000 in 2023, up 53% from €197,000 in 2016.

60% of homes are owner-occupied, 3.8% are apartments and 14% were built before 1945.

Liveability is in the top 96% of Dutch postcode areas (Leefbaarometer 2024).

Check an address in 3211

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

Home values over time

2016€197,000
2017€200,000 +1.5%
2018€209,000 +4.5%
2019€219,000 +4.8%
2020€233,000 +6.4%
2021€243,000 +4.3%
2022€263,000 +8.2%
2023€302,000 +14.8%

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

Who lives here

Age 0–1412.7%
Age 15–249.3%
Age 25–4421.3%
Age 45–6429.9%
Age 65+26.5%
Single-person households34.2%
Families with children29%
Average household size2.1
Median household income–
Urbanityrural

CBS 2024

Homes

Homes785
Owner-occupied / rented60% / 40%
Social housing33.8%
Apartments3.8%
Built before 194514%
Built 2015 or later–
Average gas use870 m³ a year
Average electricity use2,580 kWh a year

Distance to everyday places

Supermarket1.5 km
GP2 km
Pharmacy1.9 km
Primary school0.4 km
Secondary school4.6 km
Daycare0.4 km
Train station19.4 km
Hospital6.5 km
Library2 km
Swimming pool5.5 km

Average road distance for residents, CBS.

Schools in 3211

Primary schoolDistanceTarget level reading / maths
Openbare Basisschool Markenburg
public (non-denominational) · 101 pupils
Markenburglaan 1– / –

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 3211

Kern Geervliet · Geervliet-Noordoost · Poldergebied Geervliet

Crime, liveability breakdown and more per neighbourhood.

Nearby postcodes

3212 Simonshaven · 3209 Hekelingen · 3208 Spijkenisse · 3214 Zuidland · 3207 Spijkenisse · 3206 Spijkenisse · 3216 Abbenbroek · 3205 Spijkenisse · 3204 Spijkenisse · 3218 Heenvliet

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