FACTLINE
Postcodes · Kreileroord

Postcode 1773 Kreileroord

About 575 people live in postcode area 1773 in Kreileroord (municipality Hollands Kroon), in 250 households.

The average home value (WOZ) was €223,000 in 2023, up 80% from €124,000 in 2016.

90% of homes are owner-occupied, –% are apartments and –% were built before 1945.

Liveability is in the top 98% of Dutch postcode areas (Leefbaarometer 2024).

Check an address in 1773

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

Home values over time

2016€124,000
2017€123,000 -0.8%
2018€126,000 +2.4%
2019€132,000 +4.8%
2020€135,000 +2.3%
2021€160,000 +18.5%
2022€186,000 +16.3%
2023€223,000 +19.9%

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

Who lives here

Age 0–1420%
Age 15–2411.3%
Age 25–4432.2%
Age 45–6425.2%
Age 65+11.3%
Single-person households36%
Families with children38%
Average household size2.3
Median household income–
Urbanityrural

CBS 2024

Homes

Homes235
Owner-occupied / rented90% / 10%
Social housing6.4%
Apartments–
Built before 1945–
Built 2015 or later–
Average gas use1,020 m³ a year
Average electricity use2,840 kWh a year

Distance to everyday places

Supermarket5.4 km
GP5.6 km
Pharmacy5.6 km
Primary school0.3 km
Secondary school4.8 km
Daycare0.3 km
Train station21.4 km
Hospital23.8 km
Library5.5 km
Swimming pool4.9 km

Average road distance for residents, CBS.

Schools in 1773

Primary schoolDistanceTarget level reading / maths
Het Creiler Woud
Protestant Christian · 48 pupils
Bollenstraat 66– / –

Share of pupils leaving at the target level (2F reading, 1S maths) on the end-of-primary test, . National: – / –.

Neighbourhoods in 1773

Kreileroord

Crime, liveability breakdown and more per neighbourhood.

Nearby postcodes

1774 Slootdorp · 1771 Wieringerwerf · 1775 Middenmeer · 1769 Haringhuizen · 1777 Hippolytushoef · 1768 Barsingerhorn · 1778 Westerland · 1767 Kolhorn · 1779 Den Oever · 1766 Wieringerwaard

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