English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  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

 

show all hide all

Basic

show hide
Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_28055 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_28055_4
Genre: Journal Article

Files

show Files
hide Files
:
28055oa.pdf (Publisher version), 14MB
View   Save
File Permalink:
https://publications.pik-potsdam.de/pubman/item/item_28055_1/component/file_28056/28055oa.pdf
Name:
28055oa.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
http://creativecommons.org/licenses/by/4.0/

Locators

show
hide
Locator:
https://zenodo.org/doi/10.5281/zenodo.5821532 (Supplementary material)
Description:
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.
Locator:
https://gitlab.pik-potsdam.de/belmin/livwelldata-paper (Supplementary material)
Description:
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]"

Creators

show
hide
 Creators:
Belmin, Camille1, Author              
Hoffmann, Roman1, Author              
Elkasabi, Mahmoud2, Author
Pichler, Peter-Paul1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: 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

show
hide
Language(s): eng - English
 Dates: 2022-11-222022-11-22
 Publication Status: Finally published
 Pages: 14
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: 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
 Degree: -

Event

show

Legal Case

show

Project information

show hide
Project name : Gefördert im Rahmen des Förderprogramms "Open Access Publikationskosten" durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491075472
Grant ID : -
Funding program : Open-Access-Publikationskosten (491075472)
Funding organization : Deutsche Forschungsgemeinschaft (DFG)

Source 1

show
hide
Title: Scientific Data
Source Genre: Journal, SCI, Scopus, p3, oa
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 9 Sequence Number: 719 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1911041
Publisher: Nature