FACTLINE
Postcodes · Lith

Postcode 5397 Lith

About 3,205 people live in postcode area 5397 in Lith (municipality Oss), in 1,345 households.

The average home value (WOZ) was €396,000 in 2023, up 63% from €243,000 in 2016.

70% of homes are owner-occupied, 7.9% are apartments and 11.3% were built before 1945.

Liveability is in the top 52% of Dutch postcode areas (Leefbaarometer 2024).

Check an address in 5397

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

Home values over time

2016€243,000
2017€249,000 +2.5%
2018€253,000 +1.6%
2019€270,000 +6.7%
2020€294,000 +8.9%
2021€300,000 +2%
2022€339,000 +13%
2023€396,000 +16.8%

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

Who lives here

Age 0–1415.6%
Age 15–2411.2%
Age 25–4422.9%
Age 45–6430%
Age 65+20.3%
Single-person households26.8%
Families with children39%
Average household size2.4
Median household income–
Urbanityrural

CBS 2024

Homes

Homes1,330
Owner-occupied / rented70% / 30%
Social housing18.8%
Apartments7.9%
Built before 194511.3%
Built 2015 or later10.2%
Average gas use1,070 m³ a year
Average electricity use3,300 kWh a year

Distance to everyday places

Supermarket0.7 km
GP0.7 km
Pharmacy0.7 km
Primary school0.7 km
Secondary school8.8 km
Daycare0.7 km
Train station9.1 km
Hospital9.7 km
Library0.7 km
Swimming pool9 km

Average road distance for residents, CBS.

Schools in 5397

Primary schoolDistanceTarget level reading / maths
Rooms Katholieke Basisschool De Meander
Roman Catholic · 236 pupils
Marktplein 2684.4% / 63.6%

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 5397

Lith · De Lithse Ham · Buitengebied Lith

Crime, liveability breakdown and more per neighbourhood.

Nearby postcodes

5396 Lithoijen · 5398 Maren-Kessel · 5395 Teeffelen · 5394 Oijen · 5401 Uden · 5392 Nuland · 5402 Uden · 5391 Nuland · 5403 Uden · 5404 Uden

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