en: Data cube in English

de: Datenwürfel auf Deutsch

en: Data cube in German

de: Datenstruktur auf Englisch

de: Ständige Bevölkerung ab 15 Jahren nach Stichtag, Höchste abgeschlossene Ausbildung, Heimat, Geschlecht und Wohngemeinde

en: Permanent resident population aged 15 years and more by Reference date, Educational attainment, Citizenship, Sex and Municipality of residence

de: Ständige Bevölkerung ab 15 Jahren nach höchster abgeschlossener Ausbildung, Heimat, Geschlecht und Wohngemeinde

en: Permanent resident population aged 15 years and over by educational attainment, citizenship, sex and municipality of residence


state: active

type: dataset

media_type: text/html

format: HTML

de: Datenstruktur auf Deutsch

en: Data structure in German

media_type: application/json

format: JSON

en: Data structure in English

de: Datenwürfel auf Englisch

de: Bruttogeschossflächen (in Tsd. Quadratmeter) bei Bewilligungsjahr, Art der Arbeiten, Art der Auftraggeber, Art der Bauwerke und Gemeinde

en: Gross floor area (in thousand square metres) by Year of approval, Type of work, Type of clients, Type of buildings and Municipality

bautatigkeit

display_name: bautatigkeit

construction-activity

display_name: construction-activity

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

political_level: other

liechtenstein

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: DCAT Harvester Amt für Statistik FL

de: Bruttogeschossflächen (in Tsd. Quadratmeter) nach Art der Arbeiten, Art der Auftraggeber, Art der Bauwerke und Gemeinde seit 2010

en: Gross floor area (in thousand square metres) by type of work, type of clients, type of buildings and municipality since 2010


maintainer: Amt für Statistik

de: Erstzugelassene Personenwagen bei Jahr, Marke und Mittlere Kennzahlen

en: Passenger cars registered for the first time by Year, Make and Average key figures

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

mobility-and-transport

display_name: mobility-and-transport

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

de: Erstzugelassene Personenwagen nach Marke sowie mittlere Kennzahlen (Leergewicht, Hubraum, Leistung, CO2-Emission, Verhältnis Leistung/Leergewicht)

en: Passenger cars registered for the first time by make and average key figures (unladen weight, cylinder capacity, engine power, CO2 emission, ratio engine power/unladen weight)


de: Ständige Bevölkerung nach Stichtag, Jahr der Ankunft, Wohnland bei Geburt, Heimat, Geschlecht und Gemeinde

en: Permanent resident population by Reference date, Year of arrival, Country of birth, Citizenship, Sex and Municipality

bevolkerungsstruktur

display_name: bevolkerungsstruktur

population-structure

display_name: population-structure

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

de: Ständige Bevölkerung nach Jahr der Ankunft, Wohnland bei Geburt, Heimat, Geschlecht und Gemeinde

en: Permanent resident population by year of arrival, country of birth, citizenship, sex and municipality


de: Datenwürfel auf Deutsch

en: Data cube in English

de: Erstzugelassene Motorräder bei Jahr, Fahrzeugart und Treibstoffart

en: Motorcycles registered for the first time by Year, Type of vehicle and Type of fuel

de: Erstzugelassene Motorräder nach Fahrzeugart und Treibstoffart

en: Motorcycles registered for the first time by type of vehicle and type of fuel


de: Datenstruktur auf Englisch

en: Data cube in German

de: Einzelbasis - Zinskonditionen (Jahresdurchschnitt) nach Jahr und Kredit / Anlage

en: Individual basis - Interest rate conditions (annual average) by Year and Loan / Investment

banking-interests

display_name: banking-interests

bankzinsen

display_name: bankzinsen

de: Einzelbasis - Zinskonditionen (Jahresdurchschnitt) für die Aufnahme von Krediten und die Anlage von Geldern in CHF in Liechtenstein seit 1980

en: Individual basis - Interest rate conditions (annual average) for borrowing and investing funds in CHF in Liechtenstein since 1980


de: Datenstruktur auf Deutsch

en: Data structure in German

en: Data structure in English

de: Datenwürfel auf Englisch

de: Bewilligte neue Gebäude und Wohnungen bei Bewilligungsjahr, Bewilligte neue Gebäude und Wohnungen und Gemeinde

en: Approved new buildings and flats by Year of approval, Approved new buildings and flats and Municipality

de: Bewilligte neue Gebäude und Wohnungen nach Gemeinde seit 2010

en: Approved new buildings and flats by municipality since 2010


de: Ausgaben Staat bei Jahr, Funktion und Art

en: Government expenditure by Year, Function and Kind

offentliche-finanzen

display_name: offentliche-finanzen

public-finance

display_name: public-finance

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Ausgaben Staat nach Funktion und Art seit 2011

en: Government expenditure by function and kind since 2011


de: Strompreise für Haushalte und Kleingewerbe nach Stichtag, Tarif, Preiskategorie und Jährlicher Stromverbrauch

en: Electricity prices for households and small businesses by Reference date, Rate, Price category and Annual electricity consumption

energiepreise

display_name: energiepreise

energy-prices

display_name: energy-prices

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

de: Strompreise für Haushalte und Kleingewerbe nach Stichtag, Tarif, Preiskategorie und jährlicher Stromverbrauch von 2007 bis 2015

en: Electricity prices for households and small businesses by reference date, rate, price category and annual electricity consumption from 2007 to 2015


en: Data cube in English

de: Datenwürfel auf Deutsch

de: Einkommensentstehungskonto zu laufenden Preisen 1998 - 2013 by Jahr, Transaktion and Wirtschaftsbereich

en: Generation of income account at current prices 1998 - 2013 by Year, Transaction and Economic activity

national-accounts

display_name: national-accounts

volkswirtschaftliche-gesamtrechnungen

display_name: volkswirtschaftliche-gesamtrechnungen

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Einkommensentstehungskonto zu laufenden Preisen 1998 - 2013 nach Wirtschaftsbereich

en: Generation of income account at current prices 1998 - 2013 by economic activity


en: Data cube in German

de: Datenstruktur auf Englisch

de: Stimmbeteiligung bei Abstimmungen bei Abstimmung, Kennzahl und Gruppe

en: Voter turnout in referendums by Referendum, Key figure and Group

elections-referendums

display_name: elections-referendums

wahlen-abstimmungen

display_name: wahlen-abstimmungen

de: Stimmbeteiligung bei Abstimmungen nach Abstimmung, Kennzahl und Gruppe seit 2019

en: Voter turnout in referendums by referendum, key figure and group since 2019


de: Datenstruktur auf Deutsch

en: Data structure in German

en: Data structure in English

de: Datenwürfel auf Englisch

de: Erstzugelassene Personenwagen bei Jahr, Marke, Hubraumklasse und Leistungsklasse

en: Passenger cars registered for the first time by Year, Make, Engine capacity class and Engine power class

tran

de: Verkehr

en: Transport

de: Erstzugelassene Personenwagen nach Marke, Hubraumklasse und Leistungsklasse

en: Passenger cars registered for the first time by make, engine capacity class and engine power class


de: Personenwagenbestand nach Stichtag, Leergewichtsklasse, Gesamtgewichtsklasse und Altersklasse (Jahre)

en: Licensed passenger cars by Reference date, Unladen weight class, Maximum gross weight class and Age category (years)

fahrzeugbestand

display_name: fahrzeugbestand

licensed-vehicles

display_name: licensed-vehicles

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Personenwagenbestand nach Leergewichtsklasse, Gesamtgewichtsklasse und Altersklasse seit 2013

en: Licensed passenger cars by unladen weight class, maximum gross weight class and age category since 2013


de: 463.002 Unfälle und Unfälle pro 1000 versicherte Beschäftigte nach Versicherungszweig und Art des Unfalls bei Jahr, Einheit, Versicherungszweig und Art des Unfalls

accident-insurers

display_name: accident-insurers

unfallversicherer

display_name: unfallversicherer

heal

fr: Santé

de: Gesundheit

en: Health

it: Salute

de: 463.002 Unfälle und Unfälle pro 1000 versicherte Beschäftigte nach Versicherungszweig und Art des Unfalls seit 2005


de: Datenwürfel auf Deutsch

en: Data cube in English

de: Einzelbasis - Bilanz (Aktiven) nach Jahr, Aktiven und Fälligkeit

en: Individual basis - Balance sheet (assets) by Year, Assets and Maturity

banken

display_name: banken

banking-institutions

display_name: banking-institutions

econ

de: Wirtschaft und Finanzen

de: Einzelbasis - Bilanz (Aktiven) nach Fälligkeit seit 2017

en: Individual basis - Balance sheet (assets) by maturity since 2017


de: Datenstruktur auf Englisch

de: Warenhandel nach Jahr, Warenart, Richtung und Einheit

en: Trade in goods by Year, Nature of goods, Traffic direction and Unit

foreign-trade-in-goods

display_name: foreign-trade-in-goods

warenhandel

display_name: warenhandel

de: Warenhandel nach Warenart und Richtung 1995 bis 2019

en: Trade in goods by nature of goods and traffic direction 1995 to 2019


de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

en: Data cube in German

de: Erstzugelassene Personenwagen bei Jahr, Treibstoffart, Anzahl Zylinder und Leistungsklasse

en: Passenger cars registered for the first time by Year, Type of fuel, Number of cylinders and Engine power class

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

mobility-and-transport

display_name: mobility-and-transport

de: Erstzugelassene Personenwagen nach Treibstoffart, Anzahl Zylinder und Leistungsklasse

en: Passenger cars registered for the first time by type of fuel, number of cylinders and engine power class


en: Data structure in English

en: Data structure in German

de: Einzelbasis - Personalbestand in Liechtenstein nach Jahr, Beschäftigte und Geschlecht

en: Individual basis - Headcount in Liechtenstein by Year, Persons employed and Sex

econ

en: Economy and finance

amt-fuer-statistik-fl

de: Amt für Statistik

de: Einzelbasis - Personalbestand in Liechtenstein nach Altersklasse und Geschlecht seit 2017

en: Individual basis - Headcount in Liechtenstein by age group and sex since 2017


de: Alle Beherbergungsarten bei Jahr, Kennzahl, Region, Betriebsstandort und Monat

en: All types of accommodation by Year, Key figure, Region, Place of establishment and Month

tourism

display_name: tourism

tourismus

display_name: tourismus

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Alle Beherbergungsarten - Gästeankünfte, Logiernächte und Aufenthaltsdauer nach Region, Betriebsstandort und Monat seit 2012

en: All types of accommodation - Arrivals, nights spent and length of stay by region, place of establishment and month since 2012


de: Datenwürfel auf Deutsch

de: Wohnungen nach Jahr, Nutzungsart, Belegungsstatus, Gebäudeart und Gemeinde

en: Dwellings by Year, Purpose of use, Occupancy status, Type of building and Municipality

buildings-dwellings

display_name: buildings-dwellings

gebaude-wohnungen

display_name: gebaude-wohnungen

soci

de: Bevölkerung und Gesellschaft

en: Population and society

amt-fuer-statistik-fl

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Wohnungen nach Nutzungsart, Belegungsstatus, Gebäudeart und Gemeinde seit 2014

en: Dwellings by purpose of use, occupancy status, type of building and municipality since 2014


en: Data cube in English

de: Datenstruktur auf Englisch

de: Abfallaufkommen bei Jahr, Abfallkategorie und Sammelstelle

en: Generation of waste by Year, Waste category and Collection site

abfall

display_name: abfall

waste

display_name: waste

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

de: Abfallaufkommen nach Abfallkategorie und Sammelstelle seit 1985

en: Generation of waste by waste category and collection site since 1985


de: Datenwürfel auf Englisch

de: Datenstruktur auf Deutsch

en: Data cube in German

de: Erstzugelassene Fahrzeuge bei Jahr, Fahrzeuggruppe/-art und Monat

en: Vehicles registered for the first time by Year, Vehicle group/ type and Month

tran

de: Verkehr

en: Transport

de: Erstzugelassene Fahrzeuge nach Fahrzeuggruppe/-art und Monat

en: Vehicles registered for the first time by vehicle group/ type and month


en: Data structure in German

en: Data structure in English

de: Einkommensverteilungskonto zu laufenden Preisen 1998 - 2013 by Jahr, Transaktion and Institutioneller Sektor

en: Allocation of primary income account at current prices 1998 - 2013 by Year, Transaction and Institutional sector

national-accounts

display_name: national-accounts

volkswirtschaftliche-gesamtrechnungen

display_name: volkswirtschaftliche-gesamtrechnungen

econ

de: Wirtschaft und Finanzen

en: Economy and finance

amt-fuer-statistik-fl

de: Amt für Statistik

de: Einkommensverteilungskonto zu laufenden Preisen 1998 - 2013 nach Sektor

en: Allocation of primary income account at current prices 1998 - 2013 by institutional sector


de: Datenwürfel auf Deutsch

de: Lernende in Liechtenstein nach Jahr, Bildungsfeld, Geschlecht und Wohnland

duale-ausbildung

display_name: duale-ausbildung

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Lernende in Liechtenstein nach Bildungsfeld, Wohnland und Geschlecht seit 2014/2015


de: Datenstruktur auf Englisch

de: Studierende an Hochschulen in Liechtenstein nach Jahr, Ausbildungsstätte, Geschlecht und Wohnland

en: Students at institutions of higher education in Liechtenstein by Year, Institution, Sex and Country of residence

hochschulen

display_name: hochschulen

tertiary-education

display_name: tertiary-education

amt-fuer-statistik-fl

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Studierende an Hochschulen in Liechtenstein nach Ausbildungsstätte, Geschlecht und Wohnland seit 2005/06

en: Students at institutions of higher education in Liechtenstein by institution, sex and country of residence since 2005/06


de: Datenwürfel auf Englisch

en: Data cube in English

de: Heiratende Personen bei Jahr, Geschlecht, Land der Trauung und Wohngemeinde

en: Marrying persons by Year, Sex, Country of wedding and Municipality of residence

ehen-partnerschaften

display_name: ehen-partnerschaften

marriages-partnerships

display_name: marriages-partnerships

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Heiratende Personen nach Geschlecht, Land der Trauung und Wohngemeinde seit 1999

en: Marrying persons by sex, country of wedding and municipality of residence since 1999


de: Datenstruktur auf Deutsch

en: Data cube in German

de: Gestorbene bei Jahr, Geschlecht, Staatsbürgerschaft und Wohngemeinde

en: Deaths by Year, Sex, Citizenship and Municipality of residence

births-deaths

display_name: births-deaths

geburten-todesfalle

display_name: geburten-todesfalle

de: Gestorbene nach Geschlecht, Staatsbürgerschaft und Wohngemeinde seit 1999

en: Deaths by sex, citizenship and municipality of residence since 1999


en: Data structure in German

de: Ständige Bevölkerung nach Stichtag, Haushaltstyp, Lebensalter, Geschlecht und Gemeinde

en: Permanent resident population by Reference date, Type of household, Age, Sex and Municipality

bevolkerungsstruktur

display_name: bevolkerungsstruktur

population-structure

display_name: population-structure

amt-fuer-statistik-fl

de: Amt für Statistik

de: Ständige Bevölkerung nach Haushaltstyp, Lebensalter, Geschlecht und Gemeinde

en: Permanent resident population by type of household, age, sex and municipality


de: Datenwürfel auf Deutsch

en: Data structure in English

de: Personenwagenbestand nach Stichtag, Marke und Modell und Altersklasse (Jahre)

en: Licensed passenger cars by Reference date, Make and model and Age category (years)

fahrzeugbestand

display_name: fahrzeugbestand

licensed-vehicles

display_name: licensed-vehicles

tran

de: Verkehr

en: Transport

de: Personenwagenbestand nach Marke, Modell und Altersklasse seit 2013

en: Licensed passenger cars by make, model and age category since 2013


de: Datenstruktur auf Englisch

de: Industriefahrzeugbestand nach Stichtag, Fahrzeugart, Marke, Gesamtgewichtsklasse und Altersklasse (Jahre)

en: Licensed industrial vehicles by Reference date, Type of vehicle, Make, Maximum gross weight class and Age category (years)

amt-fuer-statistik-fl

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Industriefahrzeugbestand nach Fahrzeugart, Marke, Gesamtgewichtsklasse und Altersklasse seit 2015

en: Licensed industrial vehicles by type of vehicle, make, maximum gross weight class and age category since 2015


de: Datenwürfel auf Englisch

en: Data cube in English

de: Abschlüsse an der Liechtensteinischen Berufsmaturitätsschule nach Jahr, Schwerpunkt, Geschlecht und Wohnland

en: Graduates at vocational baccalaureate school by Year, Focus, Sex and Country of residence

further-education

display_name: further-education

weiterbildung

display_name: weiterbildung

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Abschlüsse an der Liechtensteinischen Berufsmaturitätsschule nach Schwerpunkt, Geschlecht und Wohnland seit 2015

en: Graduates at vocational baccalaureate school Liechtenstein by focus, sex and country of residence since 2015


de: Datenstruktur auf Deutsch

en: Data cube in German

de: Heiratende Personen bei Jahr, Geschlecht und Monat

en: Marrying persons by Year, Sex and Month

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Heiratende Personen nach Geschlecht und Monat seit 1999

en: Marrying persons by sex and month since 1999


en: Data structure in German

de: Indikatoren der Eheschliessungen nach Jahr und Kennzahl bei Jahr und Kennzahl

en: Marriage Indicators by Year and Key Figure by Year and Key Figure

amt-fuer-statistik-fl

de: Amt für Statistik

de: Indikatoren der Eheschliessungen seit 1999

en: Marriage indicators since 1999


en: Data structure in English

de: Datenwürfel auf Deutsch

de: Motorräderbestand nach Stichtag, Fahrzeugart, Karosserie, Marke, Leistungsklasse und Altersklasse (Jahre)

en: Licensed motorcycles by Reference date, Type of vehicle, Type of body, Make, Engine power class and Age category (years)

tran

de: Verkehr

en: Transport

de: Motorräderbestand nach Fahrzeugart, Karosserie, Marke, Leistungsklasse und Altersklasse seit 2015

en: Licensed motorcycles by type of vehicle, type of body, make, engine power class and age category since 2015


de: Datenstruktur auf Englisch

de: Studierende aus Liechtenstein an Fachhochschulen nach Jahr, Fachbereich, Geschlecht und Studienland

en: Students from Liechtenstein at universities of applied sciences by Year, Field of education, Sex and Country of university of applied sciences

amt-fuer-statistik-fl

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Studierende aus Liechtenstein an Fachhochschulen nach Fachbereich, Geschlecht und Studienland seit 2005/06

en: Students from Liechtenstein at universities of applied sciences by field of education, sex and country of university since 2005/06


de: Datenwürfel auf Englisch

en: Data cube in English

de: Einnahmen der Gemeinden aus umweltbezogenen Abgaben nach Jahr und Abgabenkategorie bei Jahr und Abgabenkategorie

en: Revenue of municipalities from environmental related levies by Year and Levies category

environmental-levies

display_name: environmental-levies

umweltabgaben

display_name: umweltabgaben

envi

de: Umwelt

en: Environment

de: Einnahmen der Gemeinden aus umweltbezogenen Abgaben nach Abgabenkategorie seit 2005

en: Revenue of municipalities from environmental related levies by levies category since 2005


de: Datenstruktur auf Deutsch

en: Data cube in German

de: Milchproduktion bei Jahr und Gemeinde

en: Milk production by Year and Municipality

agriculture

display_name: agriculture

landwirtschaft

display_name: landwirtschaft

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

econ

de: Wirtschaft und Finanzen

en: Economy and finance

amt-fuer-statistik-fl

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Milchproduktion nach Gemeinde seit 2020

en: Milk production by municipality since 2020


en: Data structure in German

de: Datenwürfel auf Deutsch

en: Data structure in English

de: Einzelbasis - Bilanz (Passiven) nach Jahr, Passiven und Fälligkeit

en: Individual basis - Balance sheet (liabilities) by Year, Liabilities and Maturity

banken

display_name: banken

banking-institutions

display_name: banking-institutions

de: Amt für Statistik

de: Einzelbasis - Bilanz (Passiven) nach Fälligkeit seit 2017

en: Individual basis - Balance sheet (liabilities) by maturity since 2017


de: Datenstruktur auf Englisch

de: Ständige Bevölkerung nach Stichtag, Stellung im Haushalt, Lebensalter, Geschlecht und Gemeinde

en: Permanent resident population by Reference date, Status in household, Age, Sex and Municipality

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Ständige Bevölkerung nach Stellung im Haushalt, Lebensalter, Geschlecht und Gemeinde

en: Permanent resident population by status in household, age, sex and municipality


de: Datenwürfel auf Englisch

en: Data cube in English

de: Warenhandel nach Jahr, Wirtschaftsraum, Richtung und Einheit

en: Trade in goods by Year, Economic area, Traffic direction and Unit

foreign-trade-in-goods

display_name: foreign-trade-in-goods

warenhandel

display_name: warenhandel

amt-fuer-statistik-fl

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Warenhandel nach Wirtschaftsraum und Richtung 1995 bis 2019

en: Trade in goods by economic area and traffic direction 1995 to 2019


en: Data cube in German

de: Datenstruktur auf Deutsch

de: Demografische Indikatoren nach Szenario, Kennzahl und Jahr

en: Demographic indicators by Scenario, Indicator and Year

bevolkerungsszenarien

display_name: bevolkerungsszenarien

population-scenarios

display_name: population-scenarios

de: Demografische Indikatoren nach Szenario und Kennzahl von 2023 bis 2060

en: Demographic indicators by Scenario and Indicator from 2023 to 2060


de: Erstzugelassene Personenwagen bei Jahr, Treibstoffart, Gesamtgewichtsklasse und Leistungsklasse

en: Passenger cars registered for the first time by Year, Type of fuel, Maximum gross weight class and Engine power class

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

mobility-and-transport

display_name: mobility-and-transport

tran

de: Verkehr

en: Transport

de: Erstzugelassene Personenwagen nach Treibstoffart, Gesamtgewichtsklasse und Leistungsklasse

en: Passenger cars registered for the first time by type of fuel, maximum gross weight class and engine power class


en: Data structure in German

de: Datenwürfel auf Deutsch

de: Lebendgeborene bei Jahr, Staatsbürgerschaft der Mutter und Staatsbürgerschaft des Vaters

en: Live births by Year, Mother's citizenship and Father's citizenship

births-deaths

display_name: births-deaths

geburten-todesfalle

display_name: geburten-todesfalle

amt-fuer-statistik-fl

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Lebendgeborene nach Staatsbürgerschaft der Mutter und des Vaters seit 1999

en: Live births by mothers and fathers citizenship since 1999


de: Datenstruktur auf Englisch

en: Data structure in English

de: Ergebnisse der Gemeinderatswahlen nach Gemeinde, Kennzahl, Partei und Jahr

en: Results of municipal council elections by Municipality, Key figure, Political party and Year

elections-referendums

display_name: elections-referendums

wahlen-abstimmungen

display_name: wahlen-abstimmungen

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

de: Amt für Statistik

de: Ergebnisse der Gemeinderatswahlen nach Gemeinde und Partei seit 1975

en: Results of municipal council elections by municipality and political party since 1975


de: Datenwürfel auf Englisch

en: Data cube in English

de: Privathaushalte bei Jahr, Haushaltsgrösse, Einkommen und Einkommensklasse

en: Private households by Year, Household size, Income and Income category

vermogens--und-einkommensverteilung

display_name: vermogens--und-einkommensverteilung

wealth-and-income-distribution

display_name: wealth-and-income-distribution

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Privathaushalte nach Einkommensklasse und Haushaltsgrösse seit 2020

en: Private households by Income category and household size since 2020


de: Datenstruktur auf Deutsch

en: Data cube in German

de: Lebendgeborene bei Jahr, Geschlecht und Monat

en: Live births by Year, Sex and Month

amt-fuer-statistik-fl

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Lebendgeborene nach Geschlecht und Monat seit 1999

en: Live births by sex and month since 1999


author: Amt für Statistik

de: Personenwagenbestand nach Stichtag, Hubraumklasse und Gemeinde

fahrzeugbestand

display_name: fahrzeugbestand

licensed-vehicles

display_name: licensed-vehicles

tran

de: Verkehr

en: Transport

de: Personenwagenbestand nach Hubraumklasse und Gemeinde seit 2013


en: Data structure in German

de: Datenwürfel auf Deutsch

de: Monatlicher Bruttolohn nach Jahr, Vollzeit/Teilzeit, Aufenthaltsstatus, Geschlecht und Kennzahl

en: Gross monthly wage by Year, Full-time/Part-time, Residence permit category, Sex and Key figure

lohne

display_name: lohne

wages

display_name: wages

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Monatlicher Bruttolohn nach Voll-/Teilzeit, Aufenthaltsstatus und Geschlecht

en: Gross monthly wage by full-/part-time, residence permit category and sex


de: Datenstruktur auf Englisch

en: Data structure in English

de: Erwerbstätige Bevölkerung nach Stichtag, Erwerbsstatus, Heimat, Geschlecht und Fünfjahresklassen

en: Population in gainful employment by Reference date, Status in employment, Citizenship, Sex and Age group

employment-structure

display_name: employment-structure

erwerbsstruktur-berufe

display_name: erwerbsstruktur-berufe

amt-fuer-statistik-fl

de: Amt für Statistik

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Erwerbstätige Bevölkerung nach Erwerbsstatus, Heimat, Geschlecht und Fünfjahresklassen

en: Population in gainful employment by status in employment, citizenship, sex and age group


de: Datenwürfel auf Englisch

en: Data cube in English

de: Gebäude nach Jahr, Bauperiode, Renovationsperiode und Gemeinde

en: Buildings by Year, Period of construction, Period of renovation and Municipality

buildings-dwellings

display_name: buildings-dwellings

gebaude-wohnungen

display_name: gebaude-wohnungen

soci

de: Bevölkerung und Gesellschaft

de: Gebäude nach Bauperiode, Renovationsperiode und Gemeinde seit 2014

en: Buildings by period of construction, period of renovation and municipality since 2014


de: Datenstruktur auf Deutsch

de: Durchschnittlicher Bruttomietpreis nach Stichtag, Zimmerzahl der Wohnungen und Gemeinde

en: Average gross rent by Reference date, Number of rooms and Municipality

mietpreise

display_name: mietpreise

rental-prices

display_name: rental-prices

amt-fuer-statistik-fl

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Durchschnittlicher Bruttomietpreis nach Zimmerzahl der Wohnungen und Gemeinde

en: Average gross rent by number of rooms and municipality


en: Data cube in German

de: Produktionskonto zu laufenden Preisen seit 2013 bei Jahr, Transaktion und Institutioneller Sektor

en: Production account at current prices since 2013 by Year, Transaction and Institutional sector

national-accounts

display_name: national-accounts

volkswirtschaftliche-gesamtrechnungen

display_name: volkswirtschaftliche-gesamtrechnungen

de: Produktionskonto zu laufenden Preisen seit 2013 nach Sektor

en: Production account at current prices seit 2013 by institutional sector


de: Datenwürfel auf Deutsch

de: Äquivalenzeinkommen (Personen) bei Jahr, Altersklasse, Äquivalenzeinkommen und Kennzahl

en: Equivalised income (persons) by Year, Age group, Equivalised income and Key figure

soci

en: Population and society

amt-fuer-statistik-fl

en: Office of Statistics

de: Äquivalenzeinkommen (Personen) nach Altersklasse seit 2020

en: Equivalised income (persons) by age group since 2020


en: Data structure in German

de: Datenstruktur auf Englisch

de: Obligatorische Krankenpflegeversicherung - Schlüsselzahlen der Betriebsrechnung in CHF nach Jahr, Einheit, Personengruppe, Schlüsselzahlen der Betriebsrechnung und Versicherungsform

en: Compulsory health care insurance - Key figures of profit and loss accounts in CHF by Year, Unit, Group of persons, Key figures of profit and loss accounts and Type of insurance

health-insurers

display_name: health-insurers

krankenversicherer

display_name: krankenversicherer

heal

de: Gesundheit

en: Health

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Obligatorische Krankenpflegeversicherung - Schlüsselzahlen der Betriebsrechnung in CHF nach Versicherungsform, Einheit und Personengruppe seit 2001

en: Compulsory health care insurance - key figures of profit and loss accounts in CHF by type of insurance, unit and group of persons since 2001


en: Data structure in English

de: Datenwürfel auf Englisch

en: Data cube in English

de: Erstzugelassene Fahrzeuge bei Jahr, Fahrzeuggruppe und Emissionscode gemäss EU

en: Vehicles registered for the first time by Year, Vehicle group and Emission code as per EU definition

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

mobility-and-transport

display_name: mobility-and-transport

tran

de: Verkehr

en: Transport

amt-fuer-statistik-fl

de: Amt für Statistik

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Erstzugelassene Fahrzeuge nach Fahrzeuggruppe und Emissionscode gemäss EU

en: Vehicles registered for the first time by vehicle group and emission code as per EU definition


en: Data cube in German

de: Datenstruktur auf Deutsch

de: Einzelbasis - Verbindlichkeiten gegenüber Kunden nach Jahr, Anzahl Konti / Einlage, Verbindlichkeiten gegenüber Kunden, Einlageklasse und Domizil

en: Individual basis - Liabilities to clients by Year, Number of accounts / deposit, Liabilities to clients, Deposit class and Domicile

banken

display_name: banken

banking-institutions

display_name: banking-institutions

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Einzelbasis - Verbindlichkeiten gegenüber Kunden nach Anzahl Konti, Einlage, Einlageklasse und Domizil seit 2017

en: Individual basis - Liabilities to clients by number of accounts, deposit, deposit class and domicile since 2017


de: Datenwürfel auf Deutsch

de: Interne F+E-Aufwendungen bei Jahr, Finanzierungsart und Sektor

en: Intramural expenditure on R+D by Year, Type of funding and Sector

forschung-und-entwicklung

display_name: forschung-und-entwicklung

research-and-development

display_name: research-and-development

tech

fr: Science et technologie

de: Wissenschaft und Technologie

en: Science and technology

it: Scienza e tecnologia

de: Interne F+E-Aufwendungen nach Finanzierungsart und Sektor seit 2019

en: Intramural expenditure on R+D by type of funding and sector since 2019


en: Data structure in German

de: Datenstruktur auf Englisch

de: Einkommen (Privathaushalte) bei Jahr, Haushaltsgrösse, Einkommen und Kennzahl

en: Income (private households) by Year, Household size, Income and Key figure

vermogens--und-einkommensverteilung

display_name: vermogens--und-einkommensverteilung

wealth-and-income-distribution

display_name: wealth-and-income-distribution

soci

de: Bevölkerung und Gesellschaft

en: Population and society

amt-fuer-statistik-fl

en: Office of Statistics

de: Einkommen (Privathaushalte) nach Haushaltsgrösse seit 2020

en: Income (private households) by households size since 2020


en: Data structure in English

de: Datenwürfel auf Englisch

de: Zuzüger aus dem Ausland nach Stichtag, Heimat, Geschlecht und Gemeinde

en: Immigrants by citizenship, sex and municipality by Reference date, Citizenship, Sex and Municipality

bevolkerungsstruktur

display_name: bevolkerungsstruktur

population-structure

display_name: population-structure

de: Zuzüger aus dem Ausland nach Heimat, Geschlecht und Gemeinde


en: Data cube in English

de: Familienhaushalte mit ledigen Kindern unter 18 Jahren nach Stichtag, Familientyp, Anzahl Kinder, Haushaltsgrösse und Gemeinde

en: Family households with unmarried child(ren) younger than 18 years by Reference date, Type of family, Number of children, Size of household and Municipality

haushalte-familien

display_name: haushalte-familien

households-families

display_name: households-families

amt-fuer-statistik-fl

de: Amt für Statistik

de: Familienhaushalte mit ledigen Kindern unter 18 Jahren nach Familientyp, Anzahl Kinder, Haushaltsgrösse und Gemeinde

en: Family households with unmarried child(ren) younger than 18 years by type of family, number of children, size of household and municipality


de: Datenstruktur auf Deutsch

de: Wohneinheiten nach Stichtag, Gebäudeart, Bauperiode und Gemeinde

en: Housing Units by Reference date, Type of building, Construction period and Municipality

buildings-dwellings

display_name: buildings-dwellings

gebaude-wohnungen

display_name: gebaude-wohnungen

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Wohneinheiten nach Gebäudeart, Bauperiode und Gemeinde

en: Housing units by type of building, construction period and municipality


de: Datenwürfel auf Deutsch

en: Data cube in German

de: Kennzahlen der Luftqualität bei Jahr, Standort und Kennzahl

en: Key figures on air quality by Year, Location and Key figure

air-climate

display_name: air-climate

luft-klima

display_name: luft-klima

envi

de: Umwelt

en: Environment

amt-fuer-statistik-fl

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Kennzahlen der Luftqualität nach Standort und Kennzahl seit 1990

en: Key figures on air quality by location and key figure since 1990


de: Datenstruktur auf Englisch

en: Data structure in German

de: Fahrzeugbestand nach Stichtag, Fahrzeuggruppe/-art und Gemeinde

en: Licensed vehicles by Reference date, Vehicle group/ type and Municipality

fahrzeugbestand

display_name: fahrzeugbestand

licensed-vehicles

display_name: licensed-vehicles

tran

de: Verkehr

en: Transport

de: Fahrzeugbestand nach Fahrzeuggruppe/-art und Gemeinde seit 2013

en: Licensed vehicles by vehicle group/ type and municipality since 2013


de: Datenwürfel auf Englisch

de: Überbauungsflächen der Bauprojekte (in Tsd. Quadratmeter) bei Bewilligungsjahr, Art der Arbeiten, Art der Fläche und Gemeinde

en: Construction area of the building projects (in thousand square metres) by Year of approval, Type of work, Type of area and Municipality

bautatigkeit

display_name: bautatigkeit

construction-activity

display_name: construction-activity

econ

de: Wirtschaft und Finanzen

en: Economy and finance

amt-fuer-statistik-fl

en: Office of Statistics

de: Überbauungsflächen der Bauprojekte (in Tsd. Quadratmeter) nach Art der Arbeiten, Art der Fläche und Gemeinde seit 2010

en: Construction areas of the building projects (in thousand square metres) by type of work, type of area and municipality since 2010


en: Data cube in English

en: Data structure in English

de: Steuerpflichtige Personen bei Jahr, Nettovermögensklasse, Einkommen und Einkommensklasse

en: Taxable persons by Year, Net wealth category, Income and Income category

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Amt für Statistik

de: Steuerpflichtige Personen nach Einkommens- und Vermögensklasse seit 2020

en: Taxable persons by Income category and wealth group since 2020


de: Datenstruktur auf Deutsch

de: Datenwürfel auf Deutsch

en: Data cube in German

de: Abfallbehandlung bei Jahr und Behandlungsart

en: Treatment of waste by Year and Waste management operation

abfall

display_name: abfall

waste

display_name: waste

amt-fuer-statistik-fl

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Abfallbehandlung nach Behandlungsart seit 1972

en: Treatment of waste by waste management operation since 1972


en: Data structure in German

de: Erwerbstätige ständige Bevölkerung nach Jahr, Wirtschaftszweig, Geschlecht, Arbeitsland und Heimat

en: Permanent resident population in gainful employment by Year, Economic activity, Sex, Country of work and Citizenship

erwerbstatigkeit

display_name: erwerbstatigkeit

population-in-gainful-employment

display_name: population-in-gainful-employment

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Erwerbstätige ständige Bevölkerung nach Wirtschaftszweig, Geschlecht, Arbeitsland und Heimat seit 2006

en: Permanent resident population in gainful employment by economic activity, sex, country of work and citizenship since 2006


de: Datenstruktur auf Englisch

de: Ständige Bevölkerung nach Jahr, Zivilstand, Geschlecht und Wohngemeinde

en: Permanent resident population by Year, Marital status, Sex and Municipality of residence

bevolkerungsstand

display_name: bevolkerungsstand

population-stock

display_name: population-stock

de: Ständige Bevölkerung nach Zivilstand, Geschlecht und Wohngemeinde seit 2000

en: Permanent resident population by marital status, sex and municipality of residence since 2000


de: Datenwürfel auf Englisch

de: Stromproduktion der Wasserkraftwerke Samina und Lawena nach Jahr und Monat

en: Electricity production from hydropower stations Samina and Lawena by Year and Month

energie

display_name: energie

energy

display_name: energy

ener

de: Energie

en: Energy

de: Stromproduktion der Wasserkraftwerke Samina und Lawena nach Monat seit 1985

en: Electricity production from the hydropower stations Samina and Lawena by month since 1985


en: Data cube in English

de: Schulpersonal in Liechenstein nach Jahr, Universität, Personalkategorie und Geschlecht

en: School staff in Liechtenstein by Academic year, University, Category of staff and Sex

hochschulen

display_name: hochschulen

tertiary-education

display_name: tertiary-education

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

amt-fuer-statistik-fl

en: Office of Statistics

de: Schulpersonal in Liechtenstein nach Jahr, Universität, Personalkategorie und Geschlecht seit 2010/11

en: School staff in Liechtenstein by Academic year, University, Category of staff, and Sex since 2010/2011


en: Data cube in German

en: Data structure in English

de: Datenstruktur auf Deutsch

de: Rindviehhalter und Rindviehbestand bei Jahr, Kennzahl, Tierkategorie und Zone | Region | Gemeinde

en: 361.001 Cattle owners and cattle livestock by Year, Key figure, Animal category and Zone | region | municipality

agriculture

display_name: agriculture

landwirtschaft

display_name: landwirtschaft

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Amt für Statistik

de: Rindviehhalter und Rindviehbestand nach Tierkategorie (detailliert), Zone, Region und Gemeinde seit 2010

en: 361.002 Cattle owners and cattle livestock by animal category, zone, region and municipality since 2005


en: Data structure in German

de: Datenwürfel auf Deutsch

de: Wohnungen nach Stichtag, Bewohnertyp, Zimmerzahl, Wohnungsfläche und Gemeinde

en: Dwellings by Reference date, Type of occupant, Number of rooms, Useful floor space and Municipality

buildings-dwellings

display_name: buildings-dwellings

gebaude-wohnungen

display_name: gebaude-wohnungen

soci

de: Bevölkerung und Gesellschaft

en: Population and society

amt-fuer-statistik-fl

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Wohnungen nach Bewohnertyp, Zimmerzahl, Wohnungsfläche und Gemeinde

en: Dwellings by type of occupant, number of rooms, useful floor space and municipality


de: Datenwürfel auf Englisch

de: Datenstruktur auf Englisch

de: Warenhandel nach Jahr, Verwendungszweck, Richtung und Einheit

en: Trade in goods by Year, Broad economic categories, Traffic direction and Unit

foreign-trade-in-goods

display_name: foreign-trade-in-goods

warenhandel

display_name: warenhandel

de: Warenhandel nach Verwendungszweck und Richtung 1995 bis 2019

en: Trade in goods by broad economic categories and traffic direction 1995 to 2019


en: Data cube in English

de: Nutztierbestand bei Jahr, Tierkategorie und Zone | Region

en: 361.003 Livestock by Year, Animal category and Zone | region

de: Nutztierbestand nach Tierkategorie (detailliert), Zone und Region seit 2005

en: 361.003 Livestock by animal category (detailed), zone and region since 2005


de: Datenstruktur auf Deutsch

de: Vollzeitäquivalente nach Jahr, Wirtschaftszweig, Arbeitsgemeinde und Geschlecht

en: Full-time equivalents by Year, Economic activity, Municipality of work and Sex

beschaftigung

display_name: beschaftigung

employment

display_name: employment

amt-fuer-statistik-fl

en: Office of Statistics

de: Vollzeitäquivalente nach Wirtschaftszweig, Arbeitsgemeinde und Geschlecht seit 2008

en: Full-time equivalents by economic activity, municipality of work and sex since 2008


en: Data cube in German

en: Data structure in English

de: Monatlicher Bruttolohn nach Jahr, Vollzeit/Teilzeit, Alter, Geschlecht und Kennzahl

en: Gross monthly wage by Year, Full-time/Part-time, Age, Sex and Key figure

lohne

display_name: lohne

wages

display_name: wages

econ

de: Wirtschaft und Finanzen

de: Monatlicher Bruttolohn nach Voll-/Teilzeit, Alter (5-Jahres-Klassen) und Geschlecht

en: Gross monthly wage by full-/part-time, age (5-year groups) and sex


de: Datenwürfel auf Deutsch

en: Data structure in German

de: Einkommen (Steuerpflichtige Personen) bei Jahr, Altersklasse, Einkommen und Kennzahl

en: d Income (taxable persons) by Year, Age group, Income and Key figure

vermogens--und-einkommensverteilung

display_name: vermogens--und-einkommensverteilung

wealth-and-income-distribution

display_name: wealth-and-income-distribution

amt-fuer-statistik-fl

de: Amt für Statistik

de: Einkommen (Steuerpflichtige Personen) nach Altersklasse seit 2020

en: d Income (taxable persons) by age group since 2020


de: Bestand der Asylbewerber, vorläufig Aufgenommenen und Schutzbedürftigen bei Jahr, Staatsbürgerschaft, Geschlecht und Bewilligungstyp

en: Number of asylum seekers, temporarely admitted and beneficiaries of protection by Year, Citizenship, Sex and Residence permit category

asylum

display_name: asylum

asylwesen

display_name: asylwesen

soci

de: Bevölkerung und Gesellschaft

en: Population and society

intr

fr: Questions internationales

de: Internationale Themen

en: International issues

it: Tematiche internazionali

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Bestand der Asylbewerber, vorläufig Aufgenommenen und Schutzbedürftigen nach Staatsbürgerschaft, Geschlecht und Bewilligungstyp seit 2000

en: Number of Asylum applicats, provisionally accepted applicants and persons in need of protection by citizenship, sex and residence permit category since 2000


de: Datenstruktur auf Englisch

de: Datenwürfel auf Englisch

en: Data cube in English

de: Wohneinheiten nach Stichtag, Belegungsstatus, Zimmerzahl, Wohnungsfläche, Gebäudeart und Gemeinde

en: Housing units by Reference date, Occupancy status, Number of rooms, Useful floor space, Type of building and Municipality

de: Wohneinheiten nach Belegungsstatus, Zimmerzahl, Wohnungsfläche, Gebäudeart und Gemeinde

en: Housing units by occupancy status, number of rooms, useful floor space, type of building and municipality


de: Datenstruktur auf Deutsch

de: Einbürgerungen im ordentlichen Verfahren nach Jahr, Heimatgemeinde und Geschlecht nach Jahr, Heimatgemeinde und Geschlecht

en: Naturalisations by ordinary procedure by Year, Home municipality and Sex by Year, Home municipality and Sex

einburgerungen

display_name: einburgerungen

naturalisations

display_name: naturalisations

amt-fuer-statistik-fl

en: Office of Statistics

de: Einbürgerung im ordentlichen Verfahren nach Heimatgemeinde und Geschlecht seit 1970

en: Naturalisations by ordinary procedure by home municipality and sex since 1970


en: Data structure in English

en: Data cube in German

de: Abschlüsse von Studierenden aus Liechtenstein an Universitäten nach Jahr, Studienland, Fächergruppe, Geschlecht und Exemensstufe

en: Graduates form Liechtenstein at universities by Year, Country of study, Fields of study, Sex and Level of graduation

hochschulen

display_name: hochschulen

tertiary-education

display_name: tertiary-education

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

de: Abschlüsse von Studierenden aus Liechtenstein an Universitäten nach Examensstufe, Fächergruppe, Studienland und Geschlecht seit 2014

en: Graduates from Liechtenstein at universities by level of graduation, fields of study, country of study and sex since 2014


en: Data structure in German

de: Datenwürfel auf Deutsch

de: Gesundheitsausgaben nach Jahr, Funktion der Gesundheitsversorgung, Einheit und Ort der Leistung

en: Health accounts by Year, Function, Unit and Place of activity

gesundheitsausgaben

display_name: gesundheitsausgaben

health-accounts

display_name: health-accounts

heal

de: Gesundheit

en: Health

econ

de: Wirtschaft und Finanzen

en: Economy and finance

amt-fuer-statistik-fl

de: Amt für Statistik

de: Gesundheitsausgaben nach Funktion der Gesundheitsversorgung, Einheit und Ort der Leistung seit 2013

en: Health accounts by function, unit and place of activity since 2013


de: Erstzugelassene Personenwagen bei Jahr, Getriebeart, Hubraumklasse, Leistungsklasse und Leergewichtsklasse

en: Passenger cars registered for the first time by Year, Type of gear, Engine capacity class, Engine power class and Unladen weight class

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

mobility-and-transport

display_name: mobility-and-transport

tran

de: Verkehr

en: Transport

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Erstzugelassene Personenwagen nach Getriebeart, Hubraumklasse, Leistungsklasse und Leergewichtsklasse

en: Passenger cars registered for the first time by type of gear, engine capacity class, engine power class and unladen weight class


de: Datenstruktur auf Englisch

de: Datenwürfel auf Englisch

en: Data cube in English

de: Alle Beherbergungsarten bei Jahr, Kennzahl, Herkunftsland und Monat

en: All types of accommodation by Year, Key figure, Country of residence and Month

tourism

display_name: tourism

tourismus

display_name: tourismus

de: Alle Beherbergungsarten - Gästeankünfte, Logiernächte und Aufenthaltsdauer nach Herkunftsland und Monat seit 2012

en: All types of accommodation - Arrivals, nights spent and length of stay by country of residence and month since 2012


maintainer: EnviDat Support

en: spatial-modelling forest-gain urban-sprawl topography urban-morphology land-use-and-cover-change forest-persistence basic-services urban-compactness built-up-classification nature-conservation planning-outcome

en: Increase in waste collection service

format: GeoTIFF

en: Urban persistence: Built-up 2005 = Built-up 2015

en: Native forest cover gains from 2005 to 2015

en: Axial

en: New built-up pixels classified as axial

en: Master plan Ubatuba (zones)

format: SERVICE

en: Master plan Ihabela (zones)

format: SHP

en: Human Development Index (HDI) per municipality (change per year)

en: Increase in clean water provision service

en: Ecological-Economic Zoning (EEZ)

en: Native forest cover persistence from 2005 to 2015

en: Topographic Index Position (TPI)

en: slope

en: Slope °

en: isolated

en: New built-up pixels classified as isolated

en: Permanent housing density increase

en: Increase in Normalized Difference Vegetation Index

en: Increase in sanitation service

en:
Basic education in % per census sector (change per
year)

en: Descricao dos dados em portiuguês

media_type: application/pdf

en: Portugues description

format: PDF

en: infill

en: New built-up pixels classified as infill

en: Mean income in Reais (R$) per census sector (change per year)

en: Population density per pixel (change per year)

en: Variables description

en: Table of content. Variables description, source, and other important information

en:
The present dataset is part of the published scientific paper entitled “The role of spatial planning in land change: An assessment of urban planning and nature conservation efficiency at the southeastern coast of Brazil” (Pierri Daunt, Inostroza and Hersperger, 2021). In this work, we evaluated the conformance of stated spatial planning goals and the outcomes in terms of urban compactness, basic services and housing provision, and nature conservation for different land-use strategies. We evaluate the 2005 Ecological-Economic Zoning (EEZ) and two municipal master plans from 2006 in a coastal region in São Paulo State, Brazil. We used Partial Least Squares Path Modelling (PLS-PM) to explain the relationship between the plan strategies and land-use change ten years after implementation in terms of urban compactness, basic services and housing increase, and nature conservation.

We acquired the data for the explanatory variables from different sources listed on Table 1. Since the model is spatially explicit, all input data were transformed to a 30 m resolution raster. Regarding the evaluated spatial plans, we acquired the zones limits from the São Paulo State Environmental Planning Division (CPLA-SP), Ilhabela and Ubatuba municipality.

1)	Land use and cover data: Urban persistence, Urban axial, Urban infill, Urban Isolates, Forest cover persistence, Forest cover gain, NDVI increase

We acquired two Landsat Collection 1 Higher-Level Surface Reflectance images distributed by the U.S. Geological Survey (USGS), covering the entire study area (paths 76 and 77, row 220, WRS-2 reference system, https://earthexplorer.usgs.gov/). We classified one image acquired by the Landsat 5 Thematic Mapper (TM) sensor on 2005-05-150, and one image from the Landsat 8 Operational Land Imager (OLI) sensor from 2015-08-15. We collected 100 samples for forest cover, 100 samples for built-up cover and 100 samples for other classes. We then classified these three classes of land cover at each image date using the Support Vector Machine (SVM) supervised algorithm (Hsu et al., 2003), using ENVI 5.0 software.

Land-use and land-cover changes from 2005 to 2015 were quantified using map algebra, by mathematically adding them together in pairs (10*LULC2015 + LULC2005). We reclassified the LULC data into forest gain (conversion of any 2005 LULC to forest cover in 2015); forest persistence (2005 forested pixels that remained forested in 2015); new built-up area (conversion of any 2005 LULC to built-up in 2015); and urban maintenance (2005 built-up pixels that remained built-up in 2015).

To describe the spatial configuration of the urban expansion, we classified the new built-up areas into axial, infill and isolated, following Inostroza et al. (2013) (For details, please refer to Supplementary Material I at the original publication).

The NDVI was obtained from the same source used for the LULC data. With the Google Engine platform, we used an annual average for the best pixels (without clouds) for 2005 and 2015, and we calculated the changes between dates. We used increases of > 0.2 NDVI to represent an improvement in forest quality.

2)	Federal Census data organization: Urban Basic Services and Housing indicator, socioeconomic and population:

The data used to infer the values of basic services provision, socioeconomic and population drivers was derived from the Brazilian National Census data (IBGE, 2000 and 2010). Population density, permanent housing unit density, mean income, basic education, and the percentage of houses receiving waste collection, sanitation and water provision services, called basic services in the context of this study, were calculated per 30 m pixel. The Human Development Index is only available at the municipality level. We attributed the HDI for the vector file with the municipality border, and we rasterized (30 m resolution) this file in QGIS. Annual rates of change were then calculated to allow comparability between LULC periods. To infer the BSH, we used only areas with an increase in permanent housing density and basic services provision (See Supplementary Material I at the original publication).

3)	Topographic drivers

To infer the values of the topographic driver, we used the slope data and the Topographic Index Position (TPI) based on the digital elevation model from SRTM (30 m resolution) produced by ALOS (freely available at eorc.jaxa.jp/ALOS/en/about/about_index.htm), and both variables were considered constant from 2005 to 2015 (See Supplementary Material I at the original publication).

basic-services

display_name: basic-services

built-up-classification

display_name: built-up-classification

forest-gain

display_name: forest-gain

forest-persistence

display_name: forest-persistence

land-use-and-cover-change

display_name: land-use-and-cover-change

nature-conservation

display_name: nature-conservation

planning-outcome

display_name: planning-outcome

spatial-modelling

display_name: spatial-modelling

topography

display_name: topography

urban-compactness

display_name: urban-compactness

urban-morphology

display_name: urban-morphology

envidat

fr: EnviDat: le portail de données environnementales

fr: EnviDat est le portail de données du WSL; il offre un accès uniformisé et réglementé aux données de surveillance et de recherche en matière d’environnement. Ce portail est capable d’héberger et de publier des ensembles de données précieuses et uniques, qui sont partagées aux quatre coins de la planète. Ce faisant, EnviDat favorise la recherche et contribue à l’avancement des sciences environnementales.

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

de: EnviDat ist das Datenportal der WSL für einen einheitlichen und verwalteten Zugang zu Umweltdaten aus Monitoring- und Forschungsprojekten. Auf dem Portal können Datensätze gehostet und veröffentlicht werden. Durch die weltweite Bereitstellung einzigartiger und wertvoller Datensätze leistet EnviDat einen Beitrag zur Forschung im Bereich der Umweltwissenschaften.

it: EnviDat è il portale dati del WSL che fornisce un accesso unificato e gestito ai dati di monitoraggio ambientale e di ricerca. Il portale ha la capacità di ospitare e pubblicare serie di dati preziosi e unici che vengono condivisi in tutto il mondo. Così facendo, EnviDat promuove la ricerca e contribuisce al progresso della scienza ambientale.

en: Spatially explicit data to evaluate spatial planning outcomes in a coastal region in São Paulo State, Brazil


maintainer: Yohann Chauvier

en: climate phylogenetic-diversity ecological-indicator-values taxonomic-diversity grain-size soil functional-diversity

en: Data access

media_type: application/zip

format: ZIP

en:
This dataset comprises a large array of ecological data for the European Alps:

  (1) Current soil and climate predictors at various resolutions.
  (2) GBIF observations of the European Alps Flora (~4,000 species).
  (3) Species habitat suitability maps (1,109 species; based on species observations filtered at 40x40-km)
  at various resolutions used in the study to generate (4); except 'expert'...
  (4) Expert, Taxonomic, phylogenetic and functional diversity of the study region at various resolutions
  (from 100-m to 40-km --> 100-m aggregated & mean to km + non-aggregated/predicted) for CLIM,
  SOIL and CLIM-SOIL models.
  (5) Ecological and altitudinal preferences of the European Alps Flora.
  (6) Data outputs of the related published article.
  (7) All scripts used for analyses.
  (8) Additional files used for analyses.
  (9) Improved set of species habitat suitability maps (~2,600 species; based on species observations
  filtered at 1x1-km) and related taxonomic diversity at 100-m resolution (aggregated to km +
  non-aggregated/predicted) for CLIM, SOIL and CLIM-SOIL models ---> not incorporated in the study.

climate

display_name: climate

ecological-indicator-values

display_name: ecological-indicator-values

functional-diversity

display_name: functional-diversity

grain-size

display_name: grain-size

phylogenetic-diversity

display_name: phylogenetic-diversity

soil

display_name: soil

taxonomic-diversity

display_name: taxonomic-diversity

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

value: Envidat Harvester

en: Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity


maintainer: Irmi Seidl

en: cooperatives community-energy switzerland energy-cooperatives renewable-energy

en: Codebook

en: Description of variable attributes and valid n

mimetype: application/pdf

en: Raw date (SPSS)

en: Raw data in sav. format (SPSS). For comprehension of the data and variable structure, please consult the modified questionnaire with variable names.

en: Questionnaire with variable names

en: Modified questionnaire with variable names for each item. Should be used together with the data files (.csv or .sav) to reconstruct the data and variable structures.

en: Raw data (.csv)

media_type: text/csv

en: Raw data in csv. format. For comprehension of the data and variable structure, please consult the codebook and the modified questionnaire with variable names.

format: CSV

mimetype: text/csv

en:
 Topic of Survey
The data at hand on energy cooperatives in Switzerland were collected in 2016 as part of the project "Collective financing of renewable energy projects in Switzerland and Germany" of the National Research Programme 71 "Managing Energy Consumption". The cooperatives were surveyed on their organizational structure, their activities in electricity and heat generation, their finances, the political context and their assessments of the future.

 Survey Method
The survey was targeted at all energy cooperatives in Switzerland (this is the basic population). The Swiss Commercial Register was searched for cooperatives and specific keywords in order to determine this basic population and collect addresses. This search in May 2016 resulted in a total of 304 energy cooperatives, to which a questionnaire was sent in July 2016. A pre-test with 8 persons had been carried out before the questionnaire was sent out. The questionnaire was provided in German and French. It was sent by mail and an attached letter referred to a link for the digital version if preferred. The online version was designed with the software "Sawtooth". After three weeks, a first, and after six weeks a second reminder letter was sent to those cooperatives that had not yet completed the questionnaire. The returned hardcopy questionnaires were manually entered into the database and then combined with the electronic data from the online survey. In the course of the survey, the total population was reduced from 304 to 289: in 4 cases the survey was not deliverable, 4 cooperatives had dissolved, 6 were not actually energy cooperatives, 1 case had recently changed its legal form. With a response rate of 47%, the final data set comprises 136 responses (from 77 digital and 59 hardcopy questionnaires). However, not all 136 of the returned questionnaires were filled out completely. We checked for answers that seemed contradictory or incomprehensible. If an error could be clearly identified and the correct answer derived, the answer was adjusted, otherwise the answer was replaced by "missing data".

 Anonymization
Participating cooperatives have been assured that their information will be kept confidential and will only be made public anonymously. For this reason, the data have been anonymized in in order to prevent any identification of individual cooperatives.

 How to Use the Data
* The data are available in CSV and SPSS (sav.) format.
* A codebook and a modified version of the used questionnaire are provided to illustrate the data and variable structure. In the questionnaire, the variable names are assigned to the corresponding questions. In the codebook, further information on these variables (valid n, answer categories) can be found. This information (of the codebook) is already integrated in the SPSS file.

 Current Embargo on Data
These data are currently under embargo and will only be released when the project is completed (not before 2020).

#Additional Information
* The used questionnaire is provided in German and French.
* Descriptive results of the survey were published in a WSL report: https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:18943

community-energy

display_name: community-energy

cooperatives

display_name: cooperatives

energy-cooperatives

display_name: energy-cooperatives

renewable-energy

display_name: renewable-energy

switzerland

display_name: switzerland

en: Energy Cooperatives in Switzerland: Survey Results // Energiegenossenschaften in der Schweiz: Befragungsergebnisse


en: trophich robustness network-analysis metaweb food-webs habitat-fragmentation trophic-networks

en:
This resource is broken down into two sections: 01 simulations and 02 analyses
In the 01 simulations section, the program which run the simulations for the paper is provided. It is prepared such that it can be easily run on a cluster. Please note that the results folder is empty, as they would have included 108,000 csv files. Instead, the summarised version is available in the next section.
In the 02 analyses section, all code needed to recreate the analyses and figures from the paper are provided.
Please refer to the separate README.txt files for each section for further information.

en:
This dataset contains all processed data, simulation outputs, and R/Python scripts used to assess the robustness of regional multi-habitat food webs in Switzerland under various non-random species extinction scenarios. It accompanies the manuscript submitted to Communications Biology, and available as a preprint here:
Reji Chacko, M, Albouy, C., Altermatt, F., et al. Decreases in the robustness of regional food webs to sequential species extinctions following habitat loss, 04 December 2024, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-5225132/v1]
Please note that the most up-to-date version of the simulations code is available here: https://github.com/mrejichacko/casCHades

food-webs

display_name: food-webs

habitat-fragmentation

display_name: habitat-fragmentation

metaweb

display_name: metaweb

network-analysis

display_name: network-analysis

robustness

display_name: robustness

trophic-networks

display_name: trophic-networks

trophich

display_name: trophich

envidat

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Simulation data and analyses of regional food web robustness under habitat loss


en: europe strategic-plans urban-region development-priorities spatial-information

en: Planning intentios

en:
The present dataset is part of the report titled Gradinaru S.R., Hersperger A.M., Schmid F. (2021). Deriving Planning Intentions from written planning documents. Report on CONCUR Project- From plans to land change: how strategic spatial planning contributes to the development of urban regions.
The data corresponds to the data collected as part of the DPI Method for deriving all PIs contained in a plan (open coding) as detailed in section 4 of the report. The method involved reading the plans to break down of information in meaningful discrete “incidents” or planning intentions. To identify the planning intentions, the starting points were represented by a) the structuring of the plans in chapters and sub chapters and b) the themes that the plans addressed. Thus, the collected information was not grouped according to pre-defined categories of planning intentions, but rather put together as a list of intentions as revealed by each plan. As a result, we provide, for each case study, a document (named [Urban region name] PI as defined in the plan) which contains:
	Date when the information was filled in.
	Name of the urban region and analysed strategic spatial plan .
	A list of all planning intentions contained in a plan, with each PI being addresses as follows:
	Name of PI as it appears in the plan
	Translated name of the PI (i.e. short name for easy understanding of the meaning)
	Explanation regarding the meaning of the PI
	Why the PI is considered a priority for the urban region
	Spatial information on the PI (text and cartographic representations).
In total, 14 documents are available, one for each case study. Documents contain up to 20 pages of information extracted from the plans together with explanations and notes taken during plan reading.

development-priorities

display_name: development-priorities

europe

display_name: europe

spatial-information

display_name: spatial-information

strategic-plans

display_name: strategic-plans

urban-region

display_name: urban-region

educ

en: Education, culture and sport

en: EnviDat: the Environmental Data Portal

en: Planning intentions in strategic plans of European urban regions


en: avalanche dry-snow-avalanche snow-instability snow-stratigraphy climate-projections wet-snow-avalanche snow climate-change

en: Climate scenarios .smet

en: contains one .smet file per combination of station, climate model chain and RCP scenario. Each .smet file contains the downscaled meteorological data (time span 1.9.1981-31.8.2099) that was used to drive the SNOWPACK simulations.

media_type: text/plain

format: TXT

en: Projections of avalanche activity

en: contains one file per IMIS station that indicates the daily probability for the occurrence of dry- or wet-snow avalanches in the vicinity of the respective station for each day during the time period 1.12.1981-31.05.2099 (months December to May) and all climate model chains and RCP scenarios.

en: SNOWPACK settings

en: contains .ini and .sno file indicating the settings used to drive SNOWPACK with the climate scenarios

en:
This data set includes 21st century projections of dry- and wet-snow avalanche activity for seven sites in the Swiss Alps as well as the downscaled climate scenarios and SNOWPACK configuration files used to produce these projections. The methods used to produce these data are described in the research article:
Mayer, S., Hendrick, M., Michel, A., Richter, B., Schweizer, J., Wernli, H., and van Herwijnen, A.: Changes in snow avalanche activity in response to climate warming in the Swiss Alps, EGUsphere, 2024, 1-32, https://doi.org/10.5194/egusphere-2024-1026, 2024.
We used downscaled climate projections to drive the snow cover model SNOWPACK and evaluated future dry- and wet-snow avalanche occurrences in the vicinity of seven automatic weather stations from the IMIS network using machine learning models trained with observed records of avalanche activity. Projections are available for three different emission scenarios (Representative Concentration Pathways, RCP2.6, RCP4.5 and RCP8.5) and eight climate model chains from the CH2018 ensemble. The output of the model chain is given by a daily probability for dry- or wet-snow avalanche occurrences. These probabilities can then be used to classify a day as a dry- and wet-snow avalanche day (AvD) or non-avalanche day.

avalanche

display_name: avalanche

climate-change

display_name: climate-change

climate-projections

display_name: climate-projections

dry-snow-avalanche

display_name: dry-snow-avalanche

snow

display_name: snow

snow-instability

display_name: snow-instability

snow-stratigraphy

display_name: snow-stratigraphy

wet-snow-avalanche

display_name: wet-snow-avalanche


en: snow-density snow-ice-temperature weisfluhjoch snow-water-equivalent snow-stratigraphy

en: WFJ Snow Profiles 1999-2014

en:
Biweekly manual snow profiles from Weissfluhjoch, Davos, Switzerland.
Version: 2015-09-14T16:25

mimetype: application/zip

en: README

en: README file giving use metadata.

en: Dataset of manual bi-weekly snow profiles from Weissfluhjoch, Davos, Switzerland. Typical snow profile measurements and observations are included (temperature, density, grain size, grain type, hardness, wetness), following the guidelines of the The International Classification for Seasonal Snow on the Ground (ICSSG) [Fierz, C., Armstrong, R.L., Durand, Y., Etchevers, P., Greene, E., McClung, D.M., Nishimura, K., Satyawali, P.K. and Sokratov, S.A. 2009. The International Classification for Seasonal Snow on the Ground. IHP-VII Technical Documents in Hydrology N°83, IACS Contribution N°1, UNESCO-IHP, Paris].

snow-density

display_name: snow-density

snow-ice-temperature

display_name: snow-ice-temperature

snow-water-equivalent

display_name: snow-water-equivalent

weisfluhjoch

display_name: weisfluhjoch

en: Manual bi-weekly snow profiles from Weissfluhjoch, Davos, Switzerland


en: adults-and-teenagers online-questionnaire-survey nfi-photos visual-attractiveness perception-of-ecosystem-services

en: Questionnaire Italian

en: Dataset in csv-format

en: Questionnaire German

en: Questionnaire French

en: SPSS-Dataset

en: Codebook to SPSS-file

en: This questionnaire survey was conducted as an online survey and aimed at investigating the relationship between physical forest characteristics, visual attractiveness of forest and the perception of ecological and cultural ecosystem services in urban forests. Each participant was shown 6 photos out of a pool of 50 photos taken from the Swiss National Forest Inventory (NFI) database. Physical forest characteristics were derived from the photos. The study was conducted as part of the "WaMos meets LFI" (WML) project.

adults-and-teenagers

display_name: adults-and-teenagers

nfi-photos

display_name: nfi-photos

online-questionnaire-survey

display_name: online-questionnaire-survey

perception-of-ecosystem-services

display_name: perception-of-ecosystem-services

visual-attractiveness

display_name: visual-attractiveness

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Relationship between physical forest characteristics, visual attractiveness and perception of ecosystem services in urban forests


maintainer: Joan Casanelles Abella

en: plant-pollinator-interactions antwerp dna-metabarcoding zurich urban-ecology cavity-nesting-bees tartu trap-nest poznan hylaeus-communis chelostoma-florisomne osmia-bicornis osmia-cornuta paris

en: Information on the study sites

en: For each site, IDs, city, coordinates, structure where trapnest was attahced and height of the trapnest is provided

en: Larval food composition

en: Explanation data variables

en: Urbanization poses threats and opportunities for the biodiversity of wild bees. A main gap relates to the food preferences of wild bees in urban ecosystems, which usually harbour large numbers of plant species, particularly at the larval stage. This data sets describes the larval food of four wild bee species (i.e. Chelostoma florisomne, Hylaeus communis, Osmica bicornis and Osmia cornuta) and three genera (i.e. Chelostoma sp., Hylaeus sp, and Osmia sp.) common in urban areas in five different European cities (i.e. Antwerp, Paris, Poznan, Tartu and Zurich). This data results from a European-level study aimed at understanding the effects of urbanization on biodiversity across different cities and citiscapes, and a Swiss project aimed at understanding the effects of urban ecosystems in wild bee feeding behaviour. Wild bees were sampled using standardized trap-nests in 80 sites (32 in Zurich and 12 in each of the remaining cities), selected following a double gradient of available habitat at local and landscape scales. Larval pollen was obtained from the bee nests and identified using DNA metabarconding. The data provides the plant composition at the species or genus level of the different bee nests of the studied species in the studied sites of the five European cities. For Hylaeus communis, this is the first study in reporting larval food composition.

antwerp

display_name: antwerp

cavity-nesting-bees

display_name: cavity-nesting-bees

chelostoma-florisomne

display_name: chelostoma-florisomne

dna-metabarcoding

display_name: dna-metabarcoding

hylaeus-communis

display_name: hylaeus-communis

osmia-bicornis

display_name: osmia-bicornis

osmia-cornuta

display_name: osmia-cornuta

paris

display_name: paris

plant-pollinator-interactions

display_name: plant-pollinator-interactions

poznan

display_name: poznan

tartu

display_name: tartu

trap-nest

display_name: trap-nest

urban-ecology

display_name: urban-ecology

zurich

display_name: zurich

en: Larval food composition of four wild bee species in five European cities


maintainer: Tobias Wechsler

en: gis hydropower ecosystem-protection decision-making integral-water-management

en: Indicators

en: The indicators capture supporting ecosystem functions.

en:
 A spatial dataset and tool to simultaneously assess hydropower potential and ecological potential of the Swiss river network (Version 2016)

 Introduction
The steadily growing demand for energy and the simultaneous pursuit of decarbonisation are increasing interest in the expansion of renewable energies worldwide. In Switzerland, various funding projects have been launched to promote technologies in the field of renewable energies and their application as quickly as possible. With the introduction of a funding instrument in 2009, the number of projects submitted to produce renewable energies increased rapidly. The applications for small hydropower plants (≤ 10 MW) were correspondingly numerous. However, the assessment of the environmental impact and its comparison with hydropower importance is still not standardized.
To provide a basis for decision-making, a methodology was developed to determine the overall hydropower potential of a region. A detailed assessment of each river reach, and the systematic and holistic assessment of small hydropower projects at a regional scale are combined here. The assessment of a river reach is conducted at the river space (i.e., the river and adjacent areas) and at the surrounding landscape level. The HYDROpot_integral methodology was developed as part of Carol Hemund's dissertation (2012) at the University of Bern. It allows the evaluation of river reaches holistically, regarding ecological, social, economic and cultural criteria. As a second part of the overall project, the theoretical hydropower (or hydraulic) potential was calculated for the entire river network, which complemnets the spatial assessment. In particular, it is possible to classify river reaches into those that are more suitable for hydropower production (=”use”) and those that are more suitable for protection.

 Material and method
The HYDROpot_Integral method was developed and tested on the basis of cantonal and national data (Hirschi et al. 2013). The method relies on 73 geodata sets. This holistic assessment is the key element of the entire assessment procedure. Its aim is to quantify the importance of the ecosystem functions in terms of services. The river network (GWN07) is divided into reaches of about 450m and for each reach two study units are defined. The river space (RS) records the ecosystem functions of the water body and the nearby riparian area. The length of the RS is 315 m on average in Switzerland and a maximum of 450 m, whereas the width is based on the FOEN definition (BWG 2001: 18f) and varies between 7-107 m. The surrounding landscape (SLS) is the second survey unit that records the ecosystem functions of the surrounding area over a range of 21 m to 321 m. The SLS is calculated over three times the RS width. The length of the SLS is identical to the length of the RS. The ecosystem functions are divided into three types: regulating (service A), cultural (service B) and provisioning (service C) functions. Accordingly, the assessment of the functions is divided into three parts and three values are assigned to each river reach. The more functions there are and the greater their performance, the higher these values are and the more important the corresponding functions are. Hence, these values quantify the importance of the ecosystem functions and the ecological, cultural and economic ecosystem services of each river reach. The concatenation of ecosystem services results in a value (ABC) that can occur in 125 different versions due to the chosen five-level value scale; i.e. each digit of the three-digit number sequence can be assigned a value between 1 and 5. Each of the 125 combinations, and thus each river reach, has its own characteristics determined by the assessments of the three function types. To record the suitability, the combinations are ranked according to their ecological, cultural and economic ecosystem services. These rules mean that the combination that is most suitable for hydropower production at minimum cost in terms of ecological and cultural ecosystem services and has a high economic potential is ranked first; rank 125 indicates the highest ecological and cultural ecosystem services and the lowest economic services and is therefore most suitable for protection. A river reach that is excluded from hydropower use due to legislation, a so-called priority reach, is given rank 126 from the outset and specially marked. A more detailed description of the methods can be found in Hirschi et al. 2013 [Link]. The dataset presented here presents the latest state of the HYDROpot_integral methodology applied at the national level. Only national data that is easily accessible was used in the preparation of the dataset. The cantonal data, such as renaturation and revitalization, would have to be requested by each canton individually and was excluded here. The nationwide value synthesis was made with R.
A list of data sources can be found here [link to text file]
A list of all parameters can be downloaded here [link to PDF and text files]

 Dataset description
Data is presented as a single shapefile. It contains the river network and all assessment results obtained with HYDROpot_Integral.

 Changes in the methodology compared to the original method (Hirschi et. al 2013)

 * RS_A11 Ecomorphology: recorded for the whole of Switzerland and zero values equated with NA;
individual cantons such as Zug and St. Gallen have no mapped values according to the modular
concept of the federal government, Valais and Graubünden only the main valleys, Ticino and Fribourg not
completely (BAFU 2009).
 * RS_A14 Renaturation and revitalization data: not centrally available at the time of data collection.
centrally available, therefore values in GR were equated with NA.
 * RS_A15 Dilution ratio at wastewater treatment plants (WWTPs) for discharges: Zero values
equal to NA.
 * RS_A20 Water flow: use WASTA (2013) with hydroelectric power plants (> 300 kW) under
Federal control and dams serving hydroelectricity (Dam, as of 2013).
 * RS_C05 Synoptic hazard maps: are cantonally managed at the time of data collection,
Values in GR are marked with a 5 so that the systematics in the decision tree is not affected.
is affected.
 * Water quality (RS_A15, RS_A16, RS_A17, RS_A18, RS_A19): for the evaluation of the function type.
A Nature, it is important whether the median of the five values is less than or equal to 3 in total. This
evaluation is based on the decision tree for evaluating GR (Hirschi et al. 2013:22).
Therefore, an evaluation of the station data is made where critical and possible river segments
with poor quality (median less than 3) exist. Only two longer and one short
sections in Switzerland receive a lower median than 3 for water quality.
 * SLS_B06 Visibility: For 99 percent of the river segments (30,733 of 31,062) in the canton of
Bern (2015 reduced version), the landscape area is considered to be visible. Due to this high number
of sections, a large number of viewpoints in the layer of Swisstopo and
the computation time and computability in ArcGIS, the landscape area is classified as generally viewable
(equal to 1).
16 Method
Additional indicators were added (see Appendix B.2):
 * SLS_A21 Dissection
 * SLS_A22 Forest areas
 * SLS_B03 Hiking trails
 * SLS_B10 Residential and vacation homes
 * SLS_B11 Tourist infrastructure
 * SLS_C01 Landfill
 * SLS_C03 Infrastructure
 * SLS_C05 Industry
 * SLS_C06 Agricultural land
Not to be added, although present to some extent:
 * SLS_B06 Cultural assets of national importance: here, too, the calculability of the visibility analysis is
for the whole of Switzerland is limited
 * SLS_A15 Legally binding protection and land use planning: the individual river sections are not
clearly designated, i.e. no geodata exist
The following data are also not supplemented, as they are cantonal data:
 * SLS_A10 Cantonal nature reserves
 * SLS_A16 Forest reserves
 * SLS_A17 Cantonal inventories and contractually protected areas

decision-making

display_name: decision-making

ecosystem-protection

display_name: ecosystem-protection

gis

display_name: gis

hydropower

display_name: hydropower

integral-water-management

display_name: integral-water-management


maintainer: Peter Bebi

en: soil-temperature carbon-dioxide stillberg climate-change experiment vegetation

en: Data FACE Stillberg

en: Folder in .zip format containing the FACE datasets.

en: Metadata FACE Stillberg Experimental Design

en: Schematic illustration and tabular listing of the FACE experimental design.

en: Metadata FACE Stillberg Data File Description

en: List of descriptions for each of the .csv FACE data files.

en: Project Description FACE Stillberg

en: Link to FACE project description on the WSL website.

en:
 Background information

High elevation ecosystems are important in research about environmental change because shifts in climate associated with anthropogenic greenhouse gas emissions are predicted to be more pronounced in these areas compared to most other regions of the world. This project involved a Free Air CO2 Enrichment (FACE) and soil warming experiment located in a natural treeline environment near Davos, Switzerland (Stillberg, 2200 m a.s.l.). Elevated atmospheric CO2 concentrations (+200 ppm) were applied from 2001 until 2009, and a soil warming treatment (+4 °C) was applied from 2007 until 2012. The combined CO2 enrichment and warming treatment reflects conditions expected to occur in this region in approximately 2050. A broad range of ecological and biogeochemical research was carried out as part of this environmental change project.

 Experimental design

The experiment consisted of 40 hexagonal 1.1 m² plots, 20 with a *Pinus mugo* ssp. *uncinata* (mountain pine, evergreen) individual in the centre and 20 with a *Larix decidua* (European larch, deciduous) individual in the centre. A dense cover of understorey vegetation surrounded the tree in each plot, including the dominant dwarf shrub species *Vaccinium myrtillus* (bilberry), *Vaccinium gaultherioides* (group *V. uliginosum agg.*, northern bilberry) and *Empetrum nigrum* ssp. *hermaphroditum* (crowberry) plus several herbaceous and non-vascular species.
At the beginning of the experimental period, the 40 plots were assigned to ten groups of four neighbouring plots (two larch and two pine trees per group) in order to facilitate the logistics of CO2 distribution and regulation. Half of these groups were randomly assigned to an elevated CO2 treatment, while the remaining groups served as controls and received no additional CO2. In spring 2007, one plot of each tree species identity was randomly selected from each of the 10 CO2 treatment groups and assigned a soil warming treatment, yielding a balanced design with a replication of five individual plots for each combination of CO2 level, warming treatment and tree species.

 Data description

Soil and air conditions have been monitored closely throughout the study period, with most measurements made during the combined CO2 x warming experiment (2007-2009). The data comprise of air temperature, soil temperature, soil moisture, sapflow, tree diameter and CO2 measurements.

carbon-dioxide

display_name: carbon-dioxide

climate-change

display_name: climate-change

experiment

display_name: experiment

soil-temperature

display_name: soil-temperature

stillberg

display_name: stillberg

vegetation

display_name: vegetation

en: FACE: Stillberg CO2 enrichment and soil warming study


lwf-tea-bag-sites

maintainer: Marcus Schaub

title_for_slug: lwf-tea-bag-sites

en: roiboos tea-bag litter green-tea verification modeling decomposition forest carbon

en: Site Information

en: Descriptive information on sites

en:
Decomposition of plant litter is a key process for the transfer of carbon and nutrients in ecosystems. Carbon contained in the decaying biomass is released to the atmosphere as respired CO2, and may contribute to global warming. Litterbag studies have been used to improve our knowledge of the drivers of litter decomposition, but they lack comparability because litter quality is plant species-specific. The use of commercial tea bags as a standard substrate was suggested in order to harmonize studies, where green tea and rooibos represent more labile and more recalcitrant C compounds as surrogates of local litter.
The tea bag approach was implemented on eight sites of the Swiss long-term Forest Ecosystem Research (LWF) network (https://www.wsl.ch/LWF). This allowed us to take advantage from the existing infrastructure and data from a previous litterbag study with local litter. In Beatenberg and Schaenis, additional elevation transects were established (1200-1800 m and 540-1150 m, respectively) to examine particularly the effect of temperature on decomposition. In Pfynwald (https://www.wsl.ch/de/ueber-die-wsl/versuchsanlagen-und-labors/flaechen-im-wald/pfynwald.html) and Salgesch, infrastructure of running projects was used to examine the effect of drought and understory removal, respectively. In Novaggio, tea bags were incubated in summer and winter to study the effect of seasonality particularly precipitation. Tea bags are collected after 3, 12, 24, and 36 months; for the two time-shifted experiments additionally after 6 and 9 months.
The study has two primary objectives. Firstly, it contributes to TeaComposition initiative (http://teacomposition.org/) which aims at investigating long-term litter decomposition and its key drivers at present as well as under different future climate scenarios using a common protocol and standard litter (tea) across nine terrestrial biomes. Secondly, the data are used to further develop decomposition models such as Yasso (http://en.ilmatieteenlaitos.fi/yasso) which is used by several countries, including Switzerland to estimate the annual carbon fluxes in dead wood, litter, and soil for reporting in National Greenhouse Gas Inventories under the United Nations Framework Convention on Climate Change and the Kyoto Protocol.

carbon

display_name: carbon

decomposition

display_name: decomposition

forest

display_name: forest

green-tea

display_name: green-tea

litter

display_name: litter

modeling

display_name: modeling

roiboos

display_name: roiboos

tea-bag

display_name: tea-bag

verification

display_name: verification

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: LWF-Tea bag sites


en: antarctica spatial-variability polar drone-data snow sea-ice

en:
Data of snow and sea ice in the McMurdo Sound, October-December 2022. The data was collected as part of the New Zealand Marsden Fund Research Grant 21-VUW-103 "Can Snow Change the Fate of Antarctic Sea Ice?"
The dataset includes raw data of the manual snow and sea ice measurements from snow pits and ice cores (temperature, density, salinity, dO18), measurements of snow water equivalent (SWE), spatial information of snow height (MagnaProbe) and sea ice thickness (EM-31), AWS (air temperature, wind speed, wind direction, relative humidity, pressure), radiations stations (shortwave, longwave, thermal IR, spectral shortwave), differential GPS data (3 fixed stations on different sea ice thicknesses, + 1 rover station for georeferencing UAV measurements), SIMBA buoy temperature (+heated temperature) data (3 buoys during November, 1 buoy for 15 months), UAV data: RGB, thermal IR, broadband albedo, spectral albedo, Chlorophyll-a from ice cores (bottom 10 cm), NIR reflectivity data of snow at 850 nm, and 940 nm (snow surface, profile, ice surface), photographs (1. overview of field sites, 2. for Structure from Motion for surface roughness, 3. macrophotos of snow) surface impurity concentrations, microCT data of snow microstructure, Denoth probe (density) and InfraSnow (specific surface area - SSA).
See the README file in each dataset for detailed information.

antarctica

display_name: antarctica

drone-data

display_name: drone-data

polar

display_name: polar

sea-ice

display_name: sea-ice

snow

display_name: snow

spatial-variability

display_name: spatial-variability

en: Snow on Antarctic Sea Ice - McMurdo Sound 2022