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Standard nomenclature (NOAS04) by major region and canton, in hectares

Choose variables

Section Geoinformation, email: arealstatistik@bfs.admin.ch
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Now you have come to the page, Choose variable. This page give you the oportunity to select which variables and values you want to display in your result of the table. A variable is a property of a statistical unit. The page is divided into several boxes, one for each variable, where you can select values by click to highlight one or more values. It always starts with the statistics variable which is the main value counted in the table.
Field for searching for a specific value in the list box. This is examples of values you can search for.Switzerland , << Région lémanique , - Vaud ,

Selected 0 of total 34

Optional variable
Field for searching for a specific value in the list box. This is examples of values you can search for.Surface total , -a Settlement and urban areas , >>a.1 Industrial and commercial areas ,

Selected 0 of total 121

Optional variable
Mandatory

Selected 0 of total 5

Number of selected data cells are:
(maximum number allowed is 2,500,000)

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Number of selected cells exceeds the maximum allowed 2,500,000
Metainformation:
Last modified: new data 2020/25
State of the database: 26.08.2024
Reference period: 1979-1985, 1992-1997, 2004-2009, 2013-2018, 2020-2025
Spatial reference: Cantons as of 1.3.2024, administrative limits (swissBoundaries3D) © swisstopo, 1.1.2024
Data source: FSO - Swiss Land Use Statistics (AREA) (in German)
Areas:
All indications are point areas.
Areas of communes and regions do not contain the surface of any lakes that are larger than 5 km2. Therefore the sum of areas of either commune or regions of a canton are not equal to its size. The exact total surface area of the cantons and major regions will be made available in the specified Cubes.
Quality of data, sample survey errors:
Small size area data are not statistically reliable. They will be the subject of a large sample survey error. You will find that a 10 hectare surface has a sample survey error margin of +/- 6.2 ha. For an area of 100 hectares, the error margin would be +/- 20 ha.
such small values are still listed in this table in order to gather together communes in groups and allow for highly differentiated regional analysis producing relevant values.
Categories:
The mentioned categories belong to the 'land cover' nomenclature (NOLC04) or the 'standard' nomenclature (NOAS04).