Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  LivWell: a sub-national Dataset on the Living Conditions of Women and their Well-being for 52 Countries

Belmin, C., Hoffmann, R., Elkasabi, M., Pichler, P.-P. (2022): LivWell: a sub-national Dataset on the Living Conditions of Women and their Well-being for 52 Countries. - Scientific Data, 9, 719.
https://doi.org/10.1038/s41597-022-01824-2

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
28055oa.pdf (Verlagsversion), 14MB
Name:
28055oa.pdf
Beschreibung:
-
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-

Externe Referenzen

einblenden:
ausblenden:
externe Referenz:
https://zenodo.org/doi/10.5281/zenodo.5821532 (Ergänzendes Material)
Beschreibung:
LivWell is a global longitudinal database which provides a range of key indicators related to women’s socioeconomic status, health and well-being, access to basic services, and demographic outcomes. Data are available at the sub-national level for 52 countries and 447 regions. A total of 134 indicators are based on 199 Demographic and Health Surveys for the period 1990-2019, supplemented by extensive information on socioeconomic and climatic conditions in the respective regions for a total of 190 indicators. The resulting data offer various opportunities for policy-relevant research on gender inequality, inclusive development, and demographic trends at the sub-national level.
externe Referenz:
https://gitlab.pik-potsdam.de/belmin/livwelldata-paper (Ergänzendes Material)
Beschreibung:
This is the companion repository for the paper: "Livwell: a sub-national dataset on the Living conditions of Women and their Well-being for 52 countries [1990-2019]"

Urheber

einblenden:
ausblenden:
 Urheber:
Belmin, Camille1, Autor              
Hoffmann, Roman1, Autor              
Elkasabi, Mahmoud2, Autor
Pichler, Peter-Paul1, Autor              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Data on women’s living conditions and socio-economic development are important for understanding and addressing the pronounced challenges and inequalities faced by women worldwide. While such information is increasingly available at the national level, comparable data at the sub-national level are missing. We here present the LivWell global longitudinal dataset, which includes a set of key indicators on women’s socio-economic status, health and well-being, access to basic services and demographic outcomes. It covers 447 regions in 52 countries and includes a total of 265 different indicators. The majority of these are based on 199 Demographic and Health Surveys (DHS) for the period 1990–2019 and are complemented by extensive information on socio-economic and climatic conditions in the respective regions. The resulting dataset offers various opportunities for policy-relevant research on gender inequality, inclusive development and demographic trends at the sub-national level.

Details

einblenden:
ausblenden:
Sprache(n): eng - Englisch
 Datum: 2022-11-222022-11-22
 Publikationsstatus: Final veröffentlicht
 Seiten: 14
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1038/s41597-022-01824-2
PIKDOMAIN: FutureLab - Social Metabolism and Impacts
Organisational keyword: FutureLab - Social Metabolism and Impacts
Research topic keyword: Gender Aspects
Research topic keyword: Inequality and Equity
Research topic keyword: Health
Research topic keyword: Climate impacts
Regional keyword: Africa
Regional keyword: Asia
Regional keyword: South America
Regional keyword: Global
Model / method: Open Source Software
Model / method: Quantitative Methods
MDB-ID: No MDB - stored outside PIK (see DOI)
OATYPE: Gold - DEAL Springer Nature
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Scientific Data
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, oa
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 9 Artikelnummer: 719 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1911041
Publisher: Nature