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Postcodes · Schermerhorn

Postcode 1636 Schermerhorn

About 1,260 people live in postcode area 1636 in Schermerhorn (municipality Alkmaar), in 555 households.

The average home value (WOZ) was €379,000 in 2023, up 90% from €199,000 in 2016.

70% of homes are owner-occupied, 21.6% are apartments and 21.6% were built before 1945.

Liveability is in the top 74% of Dutch postcode areas (Leefbaarometer 2024).

Check an address in 1636

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

Home values over time

2016€199,000
2017€206,000 +3.5%
2018€213,000 +3.4%
2019€230,000 +8%
2020€250,000 +8.7%
2021€268,000 +7.2%
2022€306,000 +14.2%
2023€379,000 +23.9%

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

Who lives here

Age 0–1415.5%
Age 15–2410.7%
Age 25–4423.8%
Age 45–6428.2%
Age 65+21.8%
Single-person households31.5%
Families with children34.2%
Average household size2.3
Median household income–
Urbanityrural

CBS 2024

Homes

Homes580
Owner-occupied / rented70% / 30%
Social housing20.7%
Apartments21.6%
Built before 194521.6%
Built 2015 or later5.2%
Average gas use1,020 m³ a year
Average electricity use2,780 kWh a year

Distance to everyday places

Supermarket3.9 km
GP4 km
Pharmacy6.7 km
Primary school0.5 km
Secondary school9.8 km
Daycare0.5 km
Train station10.9 km
Hospital10.8 km
Library0.5 km
Swimming pool7.6 km

Average road distance for residents, CBS.

Schools in 1636

Primary schoolDistanceTarget level reading / maths
Interconfessionele basisschool De Bonte Mol
Roman Catholic · 86 pupils
Zuidje 10– / 50%

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 1636

Schermerhorn

Crime, liveability breakdown and more per neighbourhood.

Nearby postcodes

1634 Scharwoude · 1633 Avenhorn · 1631 Oudendijk · 1641 Spierdijk · 1643 Spierdijk · 1628 Hoorn · 1645 Ursem · 1646 Ursem · 1625 Hoorn · 1647 Berkhout

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