The Subnational Human Development Index Database
Smits, Jeroen (Radboud University)
Permanyer, Iñaki (Centre d'Estudis Demogràfics)

Fecha:	2019
Resumen:	In this paper we describe the Subnational Human Development Database. This database contains for the period 1990-2017 for 1625 regions within 161 countries the national and subnational values of the Subnational Human Development Index (SHDI), for the three dimension indices on the basis of which the SHDI is constructed - education, health and standard of living --, and for the four indicators needed to create the dimension indices -- expected years of schooling, mean years of schooling, life expectancy and gross national income per capita. The subnational values of the four indicators were computed using data from statistical offices and from the Area Database of the Global Data Lab, which contains indicators aggregated from household surveys and census datasets. Values for missing years were estimated by interpolation and extrapolation from real data. By normalizing the population-weighted averages of the indicators to their national levels in the UNDP-HDI database, values of the SHDI and its dimension indices were obtained that at national level equal their official versions of the UNDP.
Ayudas:	European Commission 637768 Ministerio de Economía y Competitividad RYC-2013-14196 Ministerio de Economía y Competitividad CSO2015-64713-R
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Subnational Human Development Database ; Subnational Human Development Index (SHDI) ; Education ; Health ; Standard of living ; Expected years of schooling ; Mean years of schooling ; Life expectancy ; Gross national income per capita
Publicado en:	Scientific data, Vol. 6 (2019) , ISSN 2052-4463

DOI: 10.1038/sdata.2019.38
PMID: 30860498

15 p, 2.9 MB

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