Dataset for Multidimensional Poverty Index in Cali-Colombia

Area of Science:

• Socioeconomics
• Public Health
• Urban Studies

Background:

• The Social Program Beneficiary Identification System (SISBÉN) in Santiago de Cali, Colombia, aims to identify vulnerable populations for social benefits.
• Existing data may not fully capture the nuances of employment and poverty for this demographic.
• A need exists for integrated data to analyze multidimensional poverty and employment quality.

Purpose of the Study:

• To characterize the socio-demographic and employment conditions of individuals registered in Santiago de Cali's SISBÉN.
• To create an integrated database combining SISBÉN IV data with primary survey data.
• To enable the calculation of the Multidimensional Poverty Index (MPI) for the SISBÉN-registered population.

Main Methods:

• In-person surveys were conducted with 1605 individuals aged 18-87 at SISBÉN service points in Cali.
• Primary survey data was collected on demographics, education, employment status, income, and social security.
• Primary data was linked with existing SISBÉN IV (secondary) data using unique identifiers to create an integrated database.

Main Results:

• The dataset includes detailed information on 1605 individuals registered in SISBÉN, covering demographics, education, and employment.
• The integrated database allows for the analysis of employment quality and multidimensional poverty.
• Preliminary analysis indicates that 11.3% of individuals registered in SISBÉN in Cali are in multidimensional poverty, based on DANE methodology.

Conclusions:

• The generated integrated database is a novel resource for analyzing poverty and employment quality among Cali's vulnerable population.
• The data, while representative of SISBÉN registrants, may inform broader poverty conditions in Santiago de Cali.
• This resource supports researchers and administrators in developing targeted social policies and interventions.