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Standard nomenclature (NOAS04) by district and municipality, in hectares

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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 , >> Bezirk Affoltern , ......Aeugst am Albis ,

Selected 0 of total 2,283

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

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Meta information:
Last changes: new data 2020/25
Date of database: 07.06.2023
Reference period: 1979-1985, 1992-1997, 2004-2009, 2013-2018, 2020-2025
Space reference: communes as of 1.1.2023, administrative boundaries (swissBoundaries3D) © swisstopo, 1.1.2023
Data source: Swiss Land Use Statistics (AREA) (in German) Areas:
All data are point areas.
Municipal and district areas do not include lake areas larger than 5 km2. Therefore, the sum of the municipal or district areas of a canton does not add up to the cantonal area. The exact total area of the cantons and large regions can be found in the corresponding cubes. Data quality, sampling error:
Small area values are not statistically reliable. They are subject to a large sampling error. Here you can read, among other things, that an area of 10 ha shows a sampling error of +/- 6.2 ha! For an area of 100 ha, the sampling error is still +/- 20 ha.
Small values are nevertheless given in this table so that communes can be grouped together and the most differentiated regional analyses possible can be made with relevant values. Categories:
The categories shown are from the land cover nomenclature (NOLC04) or from the nomenclature standard (NOAS04).