Industries

Business Distribution by Industry in Saas-Fee

Industry DescriptionNumber of EstablishmentsAverage Age of Business
Other accommodation15349 years
Restaurants58
Hotels and motels37
Real estate34
Holiday homes, cabins and resorts22
Bars, pubs and taverns20
Shopping19
All food and beverage14
Sporting goods14
Apartments12
Travel agencies11

Saas-Fee Facts

Area48.6 km²
Population1,662
Male Population839 (50.5%)
Female Population823 (49.5%)
Population change (1975 to 2020)+24.9%
Population change (2000 to 2020)+13.4%
Median Age38.1 years (Male: 38.3, Female: 37.9)
Local Time
TimezoneCentral European Summer Time
Lat & Lng46.10805, 7.92741

Map of Saas-Fee

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Saas-Fee Population

Years 1975 to 2020

Data19751990200020152020
Population1,3311,4311,4651,7251,662
Population Density27.4 / km²29.4 / km²30.1 / km²35.5 / km²34.2 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Saas-Fee Population change from 2000 to 2015

Increase of 17.7% from year 2000 to 2015

LocationChange since 1975Change since 1990Change since 2000
Saas-Fee+29.6%+20.5%+17.7%
Valais+50.9%+37.1%+23.1%
Switzerland+30.6%+24.4%+15.8%
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Saas-Fee Median Age

Median Age: 38.1 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Saas-Fee38.1 yrs37.9 yrs38.3 yrs
Valais41.1 yrs42.1 yrs40.2 yrs
Switzerland41.4 yrs42.3 yrs40.5 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Saas-Fee Population Density

Population Density: 34.2 / km²

LocationPopulationAreaDensity
Saas-Fee1,66248.6 km²34.2 / km²
Valais340,4685,223.3 km²65.2 / km²
Switzerland8.3 million41,281.4 km²200 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Saas-Fee Historical and Projected Population

Estimated Population from 0 to 2100

Sources:
  1. JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
  2. CIESIN (Center for International Earth Science Information Network)
  3. [Link] Klein Goldewijk, K., Beusen, A., Doelman, J., and Stehfest, E.: Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953, https://doi.org/10.5194/essd-9-927-2017, 2017.

Area Codes

Percentage Area Codes used by businesses in Saas-Fee

Price Distribution

Business distribution by price for Saas-Fee

Human Development Index (HDI)

Statistic composite index of life expectancy, education, and per capita income.

Source: [Link] Kummu, M., Taka, M. &Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018) doi:10.1038/sdata.2018.4

Saas-Fee CO2 Emissions

Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Saas-Fee18,598 tn11.19 tn382.5 tons/km²
Valais3,785,473 tn11.12 tn724.7 tons/km²
Switzerland96,432,235 tn11.67 tn2,336 tons/km²
Sources: [Link] Moran, D., Kanemoto K; Jiborn, M., Wood, R., Többen, J., and Seto, K.C. (2018) Carbon footprints of 13,000 cities. Environmental Research Letters DOI: 10.1088/1748-9326/aac72a
Saas-Fee CO2 Emissions
2013 CO2 emissions (tonnes/year)18,598 tn
2013 CO2 emissions (tonnes/year) per capita11.19 tn
2013 CO2 emissions intensity (tonnes/km²/year)382.5 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
FloodHigh (8)
EarthquakeMedium (4)

* Risk, particularly concerning flood or landslide, may not be for the entire area.

Sources:
  1. Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, B. Lyon, and G. Yetman. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, D.C.: World Bank. https://doi.org/10.1596/0-8213-5930-4.
  2. Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
  3. Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.

Recent Nearby Earthquakes

Magnitude 3.0 and greater

DateTimeMagnitudeDistanceDepthLocationLink
10/24/162:44 PM4.444.1 km5,760 m6km NW of Leukerbad, Switzerlandusgs.gov
1/8/1111:32 PM333 km4,700 mSwitzerlandusgs.gov
1/8/118:48 PM3.438.8 km6,600 mSwitzerlandusgs.gov
4/4/109:16 PM3.642.7 km7,100 mnorthern Italyusgs.gov
10/23/086:04 PM349.9 km5,000 mnorthern Italyusgs.gov
6/17/087:48 PM3.552 km4,800 mSwitzerlandusgs.gov
2/17/0812:41 PM463 km8,400 mSwitzerlandusgs.gov
4/1/0712:22 AM364 km2,000 mSwitzerlandusgs.gov
3/31/0710:12 AM362.6 km5,000 mnorthern Italyusgs.gov
3/31/073:42 AM3.162.7 km10,000 mnorthern Italyusgs.gov

Saas-Fee

Saas-Fee (German pronunciation: [saːs feː]) is the main village in the Saastal, or the Saas Valley, and is a municipality in the district of Visp in the canton of Valais in Switzerland. The villages in its neighborhood are Saas-Almagell, Saas-Grund a..

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About Our Data

The data on this page is estimated using a number of publicly available tools and resources. It is provided without warranty, and could contain inaccuracies. Use at your own risk.