ubigeo_province: Province UBIGEO Codes (Geographical Location Codes, Perú)
In jmcastagnetto/ubigeo: UBIGEO Codes (Geographical Location Codes, Perú)

Equivalences between RENIEC and INEI UBIGEO codes for provinces, as well as some additional classification information about Regions and Macroregions (INEI and MINSA), surface area (in Km2), latitude, longitude and altitude (meters above sea level), and several other indicators.

1	ubigeo_province

A data frame with 196 rows and 20 variables:

reniec: RENIEC's UBIGEO code for a District
inei: INEI's UBIGEO code for a District
department: Name of the Department
province: Name of the Province
region: Region (usually the same as Departament, except for Lima Province)
macroregion_inei: Macroregion classification according to INEI
macroregion_minsa: Macroregion classification according to MINSA
iso_3166_2: ISO-3166-2 code for the region
fips: FIPS code for the region
capital: Capital of the District
surface: Surface area, in Km2
pop_density_2020: Population density (2020)
altitude: Altitude, in meters above sea level
latitude: Latitude
longitude: Longitude
state_density_index: State Density Index
food_vulnerability_index: Food Vulnerability Index
hdi_2019: Human Development Index for the District (2019)
total_poverty_pct: Percent of population in poverty
extreme_poverty_pct: Percent of population in extreme poverty

In Perú there is an official geographical location code for each Department, Province and District, but there exists de facto two widely use but different codification systems, one from INEI (Instituto Nacional de Estadística e Informática), and the other from RENIEC (REgistro Nacional de Identifación y Estado Civil).

This package contains datasets with the mappings from one to the other, at the level of Departments, Provinces and Districts. The datasets also include other useful information such as the classification in Regions and Macroregions (according to INEI and MINSA), the ISO-3166-2 and FIPS codes for regions, the surface area (in Km2), latitude, longitude and altitude (meters over sea level), and miscellaenous indicators as described below:

State Density Index: Quantifies the Government contribution to human development in a location, through provision of basic social services. The dimensions considered for this index are: basic services (health, education and sanitation), conectivity and integration (access to electricity), and citizenship (access to DNI). Values close to 1 indicate a greater presence of the government with provision of services. (Source: CEPLAN, PNUD)

Food Insecurity Vulnerability Index: Measure the degree of limitation or uncertainty about the availability of nutritionally adequate food, or the limited and uncertain capability to acquire adequate food in socially acceptable ways. (Source: CEPLAN, MIDIS, WFP)

Human Development Index (HDI, 2019): Build using these indicators: life expetancy at birth, proportion of population over 18 years old with secondary education, years of education and per capita family income. Values close to 1 indicate a better degree of human development. (Source: CEPLAN, PNUD)

Percentage of population in poverty: Based for the regional/departmental level with the data for 2020, from the study "Informe técnico: Evolución de la pobreza monetaria 2009 - 2020" (INEI, 2021). For the provincial and distrital levels the data is for 2018, from the study "Mapa de Pobreza Monetaria Provincial y Distrital 2018" (INEI, 2020). (Source: CEPLAN, INEI)

Percentage of population in extreme poverty: Data for extreme poverty at the regional/deparmental level is for 2020, from the study "Informe técnico: Evolución de la pobreza monetaria 2009 - 2020" (INEI, 2021). For the provicial and distrital levels the data is for 2015, from the study "Mapa de Pobreza Provincial y Distrital 2013" (INEI, 2015). (Source: CEPLAN, INEI)

jmcastagnetto/ubigeo documentation built on Dec. 21, 2021, 1:12 a.m.