Postcode 1757 Oudesluis
About 705 people live in postcode area 1757 in Oudesluis (municipality Schagen), in 325 households.
The average home value (WOZ) was €326,000 in 2023, up 63% from €200,000 in 2016.
80% of homes are owner-occupied, 15.2% are apartments and 34.8% were built before 1945.
Liveability is in the top 77% of Dutch postcode areas (Leefbaarometer 2024).
Check an address in 1757
Year built, floor area and neighbourhood facts for one home. Free.
Home values over time
| 2016 | €200,000 |
| 2017 | €208,000 +4% |
| 2018 | €209,000 +0.5% |
| 2019 | €216,000 +3.3% |
| 2020 | €231,000 +6.9% |
| 2021 | €243,000 +5.2% |
| 2022 | €284,000 +16.9% |
| 2023 | €326,000 +14.8% |
Average WOZ value (municipal tax valuation) of homes in this postcode area, CBS.
Who lives here
| Age 0–14 | 7.8% |
| Age 15–24 | 11.3% |
| Age 25–44 | 22.7% |
| Age 45–64 | 34.8% |
| Age 65+ | 24.1% |
| Single-person households | 32.3% |
| Families with children | 32.3% |
| Average household size | 2.2 |
| Median household income | – |
| Urbanity | rural |
CBS 2024
Homes
| Homes | 330 |
| Owner-occupied / rented | 80% / 20% |
| Social housing | 13.6% |
| Apartments | 15.2% |
| Built before 1945 | 34.8% |
| Built 2015 or later | 6.1% |
| Average gas use | 1,070 m³ a year |
| Average electricity use | 2,850 kWh a year |
Distance to everyday places
| Supermarket | 4.3 km |
| GP | 4.2 km |
| Pharmacy | 4.7 km |
| Primary school | 3.8 km |
| Secondary school | 6.7 km |
| Daycare | 4.2 km |
| Train station | 5.4 km |
| Hospital | 7.1 km |
| Library | 4.2 km |
| Swimming pool | 7.9 km |
Average road distance for residents, CBS.
Neighbourhoods in 1757
Oudesluis (woonkern) · Buitengebied Oudesluis
Crime, liveability breakdown and more per neighbourhood.
Nearby postcodes
1756 't Zand · 1755 Petten · 1759 Callantsoog · 1754 Burgerbrug · 1753 Sint Maartensvlotbrug · 1761 Anna Paulowna · 1752 Sint Maartensbrug · 1751 Schagerbrug · 1764 Breezand · 1749 Warmenhuizen
Sources: CBS Statistieken per postcode (via PDOK), Leefbaarometer 3.0. Figures are averages for the postcode area. AI agents: factline.dev/llms.txt.