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Cost map by canton

Cost of living in the canton of Schwyz: every municipality compared

Freienbach is the cheapest municipality in the canton of Schwyz: CHF 17,762 per year for taxes, health insurance and electricity. The most expensive is Reichenburg at CHF 20,022, a spread of CHF 2,260 per year.

Calculated for a couple without children with a gross income of CHF 100,000 (health insurance with CHF 300 deductible, electricity standard household H4). This is the same household as on the municipality pages. The values are approximations at municipality level; what a household pays depends on deductions, wealth and address.

Map of the canton of Schwyz

Coloured by annual cost within the canton. Every municipality leads to its page.

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With your own household and income: open the interactive map →

All 30 municipalities in the canton of Schwyz

Annual cost for the standard profile, from cheapest to most expensive. Each column names its source and data year; the total mixes years and therefore carries no year of its own.

RankMunicipalityTotal per yearsum of the threeTaxesFTA 2026Health insuranceFOPH 2027ElectricityElCom 2027
1FreienbachCHF 17,762CHF 3,670CHF 13,080CHF 1,012
1WollerauCHF 17,762CHF 3,670CHF 13,080CHF 1,012
3FeusisbergCHF 17,870CHF 3,750CHF 13,080CHF 1,040
4OberibergCHF 18,918CHF 4,610CHF 13,080CHF 1,228
5RiemenstaldenCHF 18,934CHF 4,770CHF 13,080CHF 1,084
6AltendorfCHF 19,022CHF 4,460CHF 13,080CHF 1,482
7MuotathalCHF 19,214CHF 5,000CHF 13,080CHF 1,134
8Küssnacht (SZ)CHF 19,230CHF 4,920CHF 13,080CHF 1,230
9GersauCHF 19,232CHF 4,920CHF 13,080CHF 1,232
10LachenCHF 19,237CHF 4,610CHF 13,080CHF 1,547
11SattelCHF 19,289CHF 5,080CHF 13,080CHF 1,129
11UnteribergCHF 19,289CHF 5,080CHF 13,080CHF 1,129
13AlpthalCHF 19,334CHF 5,080CHF 13,080CHF 1,174
14RothenthurmCHF 19,372CHF 5,080CHF 13,080CHF 1,212
15ArthCHF 19,376CHF 4,920CHF 13,080CHF 1,376
16SteinerbergCHF 19,379CHF 5,080CHF 13,080CHF 1,219
17MorschachCHF 19,461CHF 5,230CHF 13,080CHF 1,151
18GalgenenCHF 19,532CHF 5,080CHF 13,080CHF 1,372
19IngenbohlCHF 19,535CHF 5,230CHF 13,080CHF 1,225
20EinsiedelnCHF 19,556CHF 5,310CHF 13,080CHF 1,166
21InnerthalCHF 19,581CHF 4,850CHF 13,080CHF 1,651
22TuggenCHF 19,591CHF 5,060CHF 13,080CHF 1,451
23LauerzCHF 19,599CHF 5,390CHF 13,080CHF 1,129
23SchwyzCHF 19,599CHF 5,390CHF 13,080CHF 1,129
25Wangen (SZ)CHF 19,680CHF 5,230CHF 13,080CHF 1,370
26IllgauCHF 19,909CHF 5,700CHF 13,080CHF 1,129
26SteinenCHF 19,909CHF 5,700CHF 13,080CHF 1,129
28SchübelbachCHF 19,955CHF 5,460CHF 13,080CHF 1,415
29VorderthalCHF 19,988CHF 5,230CHF 13,080CHF 1,678
30ReichenburgCHF 20,022CHF 5,460CHF 13,080CHF 1,482

Premium regions in the canton of Schwyz

The whole canton is a single premium region: the health insurance premium is the same in every municipality. The differences in the table come from taxes and electricity.

Median monthly premium for one adult, standard model with accident cover, CHF 300 deductible, FOPH 2027.

Do you pay tax at source, for example on a B permit? Then differences between municipalities in a canton only matter to you under a subsequent ordinary assessment.

The deduction from your salary is the same in every municipality of a canton. From a gross salary of CHF 120,000 a year you are assessed under the ordinary procedure automatically, below that on application by 31 March of the following year; your municipality’s tax rate then applies. Tax at source and where you live

How we calculate

Total cost adds up income tax (FTA: federal + cantonal + municipal + church), the health insurance premium (FOPH premium region, standard model with CHF 300 deductible) and electricity (ElCom, standard household H4). All values are per year, for standard profiles. Municipality level is an approximation; your exact amount depends on deductions, wealth, deductible choice and your address. If a component is missing for a municipality, it stays grey and is never guessed.

Children calculated as insurers do: 1st and 2nd child usually at the full child rate, from the 3rd child with a sibling discount at many insurers. Calculated per insurer, then the median across all insurers.

All data sources

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