enusc_2023

ENUSC data for the year 2023. Contains only a few variables.

datasets

Assesses the quality of estimates made by complex sample designs,
following the methodology developed by the National Institute of Statistics Chile (Household Survey Standard 2020, <https://www.ine.cl/docs/default-source/institucionalidad/buenas-pr%C3%A1cticas/clasificaciones-y-estandares/est%C3%A1ndar-evaluaci%C3%B3n-de-calidad-de-estimaciones-publicaci%C3%B3n-27022020.pdf>), (Economics Survey Standard 2024, <https://www.ine.gob.cl/docs/default-source/buenas-practicas/directrices-metodologicas/estandares/documentos/est%C3%A1ndar-evaluaci%C3%B3n-de-calidad-de-estimaciones-econ%C3%B3micas.pdf?sfvrsn=201fbeb9_2>)
and by Economic Commission for Latin America and
Caribbean (2020, <https://repositorio.cepal.org/bitstream/handle/11362/45681/1/S2000293_es.pdf>), (2024, <https://repositorio.cepal.org/server/api/core/bitstreams/f04569e6-4f38-42e7-a32b-e0b298e0ab9c/content>).

Klaus Lehmann

calidad

Assesses the Quality of Estimates Made by Complex Sample Designs

Ricardo Pizarro

Ignacio Agloni

Andrea López

Javiera Preuss

enusc_2023 function

dataframe with 49.813 rows y 15 columns<dl>
 <dt>enc_region </dt>
<dd>16 regions</dd> <dt>enc_rpc</dt>
<dd>Code of region, province and commune</dd> <dt>Fact_Pers_Reg</dt>
<dd>Person sample weights at region level</dd> <dt>Fact_Pers_Com</dt>
<dd>Person sample weights at commune level</dd> <dt>Fact_Hog_Reg</dt>
<dd>Household sample weights at region level</dd> <dt>Fact_Hog_Com</dt>
<dd>Household sample weights at commune level</dd> <dt>VarStrat</dt>
<dd>Strata</dd> <dt>Conglomerado</dt>
<dd>PSU</dd> <dt>VH_DV</dt>
<dd>Households victimized by violent crimes. It works combined with Fact_Hog_*</dd> <dt>VH_DC</dt>
<dd>Household victimization. It works combined with Fact_Hog_*</dd> <dt>VP_DV</dt>
<dd>People victimized by violent crimes. It works combined with Fact_Pers_*</dd> <dt>VP_DC</dt>
<dd>Individual victimization. It works combined with Fact_Pers_*</dd> <dt>PAD</dt>
<dd>Perception of increased crime in the country. It works combined with Fact_Pers_*</dd> <dt>rph_sexo</dt>
<dd>1 = man; 2 = woman</dd> <dt>rph_edad</dt>
<dd>Age</dd>
 
</dl>

Format

Encuesta Nacional Urbana de Seguridad Ciudadana 2023 - ENUSC 2023 — enusc_2023

dataframe with 49.813 rows y 15 columns<dl>
 <dt>enc_region </dt>
<dd>16 regions</dd>

 <dt>enc_rpc</dt>
<dd>Code of region, province and commune</dd>

 <dt>Fact_Pers_Reg</dt>
<dd>Person sample weights at region level</dd>

 <dt>Fact_Pers_Com</dt>
<dd>Person sample weights at commune level</dd>

 <dt>Fact_Hog_Reg</dt>
<dd>Household sample weights at region level</dd>

 <dt>Fact_Hog_Com</dt>
<dd>Household sample weights at commune level</dd>

 <dt>VarStrat</dt>
<dd>Strata</dd>

 <dt>Conglomerado</dt>
<dd>PSU</dd>

 <dt>VH_DV</dt>
<dd>Households victimized by violent crimes. It works combined with Fact_Hog_*</dd>

 <dt>VH_DC</dt>
<dd>Household victimization. It works combined with Fact_Hog_*</dd>

 <dt>VP_DV</dt>
<dd>People victimized by violent crimes. It works combined with Fact_Pers_*</dd>

 <dt>VP_DC</dt>
<dd>Individual victimization. It works combined with Fact_Pers_*</dd>

 <dt>PAD</dt>
<dd>Perception of increased crime in the country. It works combined with Fact_Pers_*</dd>

 <dt>rph_sexo</dt>
<dd>1 = man; 2 = woman</dd>

 <dt>rph_edad</dt>
<dd>Age</dd>


 
</dl>

enusc_2023: Encuesta Nacional Urbana de Seguridad Ciudadana 2023 - ENUSC 2023

Description

Usage

Arguments

Format

Examples