Postcode 9852 Warfstermolen
About 205 people live in postcode area 9852 in Warfstermolen (municipality Noardeast-Fryslân), in 95 households.
The average home value (WOZ) was €282,000 in 2023, up 96% from €144,000 in 2016.
80% of homes are owner-occupied, –% are apartments and 47.4% were built before 1945.
Liveability is in the top 68% of Dutch postcode areas (Leefbaarometer 2024).
Check an address in 9852
Year built, floor area and neighbourhood facts for one home. Free.
Home values over time
| 2016 | €144,000 |
| 2017 | €149,000 +3.5% |
| 2018 | €147,000 -1.3% |
| 2019 | €148,000 +0.7% |
| 2020 | €150,000 +1.4% |
| 2021 | €171,000 +14% |
| 2022 | €255,000 +49.1% |
| 2023 | €282,000 +10.6% |
Average WOZ value (municipal tax valuation) of homes in this postcode area, CBS.
Who lives here
| Age 0–14 | 12.2% |
| Age 15–24 | 12.2% |
| Age 25–44 | 24.4% |
| Age 45–64 | 36.6% |
| Age 65+ | 12.2% |
| Single-person households | 31.6% |
| Families with children | 36.8% |
| Average household size | 2.2 |
| Median household income | – |
| Urbanity | rural |
CBS 2024
Homes
| Homes | 95 |
| Owner-occupied / rented | 80% / 20% |
| Social housing | 15.8% |
| Apartments | – |
| Built before 1945 | 47.4% |
| Built 2015 or later | – |
| Average gas use | 1,160 m³ a year |
| Average electricity use | 3,340 kWh a year |
Distance to everyday places
| Supermarket | 6.9 km |
| GP | 7.1 km |
| Pharmacy | 7.1 km |
| Primary school | 3.1 km |
| Secondary school | 7.2 km |
| Daycare | 3.1 km |
| Train station | 8.1 km |
| Hospital | 27.9 km |
| Library | 7 km |
| Swimming pool | 11.2 km |
Average road distance for residents, CBS.
Neighbourhoods in 9852
Warfstermolen · Verspreide huizen Warfstermolen · Verspreide huizen Munnekezijl
Crime, liveability breakdown and more per neighbourhood.
Nearby postcodes
9851 Burum · 9853 Munnekezijl · 9845 Visvliet · 9844 Pieterzijl · 9843 Grijpskerk · 9861 Grootegast · 9842 Niezijl · 9862 Sebaldeburen · 9863 Doezum · 9864 Kornhorn
Sources: CBS Statistieken per postcode (via PDOK), Leefbaarometer 3.0. Figures are averages for the postcode area. AI agents: factline.dev/llms.txt.