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Five human capital constraints across the municipalities of Bolivia

  • Number of cross-sectional units: 339

  • Number of years: 1

  • Download dataset: hccBolivia.zip

  • Explore dataset: Open in Tableau Online

  • Tutorial: Mapping and Spatial Dependence Analyses in Python Open In Colab

Variable Definition
POLY_ID Polygon ID created from GeoDa
DEPARTAMEN Name of department
mun Name of municipality
pop_20 Population (Projected for 2020)
s2_2_dm Chronic malnutrition in children: This indicator measures the percentage of kids under five years with chronic malnutrition in the year 2016. This indicator is weighted by department and poverty level. The original source of the data is the Survey of Demography and Health of 2016 (Encuesta de Demografía y Salud 2016).
s4_1_ash Secondary dropout rate of males: This indicator measures the number of male students dropping out from secondary school as a percentage of matriculation. The original source is the Ministry of Education's Educational Statistics and Indicators System (Sistema de Estadísticas e Indicadores Educativos 2017
s4_1_asm Secondary dropout rate of females: This indicator measures the number of female students dropping out from secondary school as a percentage of matriculation. The original source is the Ministry of Education's Educational Statistics and Indicators System (Sistema de Estadísticas e Indicadores Educativos 2017)
s10_2_egin Gini coefficient of years of education: This indicator measures the Gini coefficient, measuring inequality, in the years of schooling for the population in the segment of 25 to 65 years old. The original source are estimations by \citep{SDSN-Bolivia2020} based on data from the Census of Population and Housing 2012 (Censo de Población y Vivienda 2012).
s10_2_nhe Non-Spanish speaking population: This indicator measures the percentage of the population, three years old or older, that do not have Spanish as their mother tongue, first or second language. The original source is the Census of Population and Housing 2012 (Censo de Población y Vivienda 2012)
hco1 First principal component of the previos 5 indicators
REGs22dm Max P regionalization scheme for chronic malnutrition in children
REGs41ash Max P regionalization scheme for dropout rate of secondary dropout rate of males
REGs41asm Max P regionalization scheme for dropout rate of secondary dropout rate of females
REG102egin Max P regionalization scheme for education inequality
REG102nhe Max P regionalization scheme for non-spanish speking population
REGal_ints Max P regionalization scheme of the first principal component of the previous 5 indicators

Source: Municipal Atlas of the SDGs in Bolivia