in Canton Solothurn
ESTV tax year 2024
Official standard calculations for the municipality of Grindel.
Total tax burden
CHF 12'546
4.5% above the cantonal median for this scenario.
Gross employment income, CHF 0 wealth.
Confession: none. Church tax is excluded.
Calculated for the primary municipality of Grindel.
Standardized, non-binding comparison. Personal deductions and circumstances can change the result. Check in the official ESTV calculator
The official ESTV standard scenario for Grindel, at CHF 80'000 gross income, produces a 15.68% effective rate, 4.5% above the canton median.
4247 Grindel has roughly 520 residents in the weighted view. Localities, municipalities, and streets show the real structure behind the postcode.
The postcode maps primarily to Grindel, which makes the demographic view relatively direct.
This page shows useful relationships around the postcode: municipality, canton, tax-comparable postcodes, similarly sized places, and nearby alternatives.
Current conditions and 3-day forecast from Open-Meteo.
Who lives here?
Source: BFS STATPOP 2024
These notes explain the official ESTV tax scenarios, postcode-level demographics, and the limits of both data blocks.
57 streets found
Select a street to show its details here.
All public transport stops inside postcode 4247, based on the Federal Office of Transport (BAV) layer on geo.admin.ch.
Top matches for: 4247 Grindel SO Grindel Grindel
Moving out of Bern into the suburbs is rarely just a tax decision. When the tax rates are almost identical, commuting and infrastructure matter more.
You don't always have to move to a tiny village to save on taxes. Some large postcodes combine great infrastructure with a surprisingly low tax bill.
A reliable comparison keeps the ESTV scenario fixed and checks which municipality supplies the tax result shown for each postcode.
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Postcodes and municipalities overlap in Switzerland, but they are not the same thing. Keeping them separate makes tax data and location data easier to read.
A practical comparison of postcode structure: lower average household size for singles and couples, higher averages for family-leaning places, and why household count matters before you trust the signal.