Multidimensional poverty indicators in Brazil’s Legal Amazon

In public health research, socioeconomic indicators play a crucial role. They are essential for understanding the relation between poverty and health issues, as well as for allocating resources to public health infrastructure and providing appropriate treatments to the population. Traditionally, income has been the main indicator for measuring poverty, by establishing a poverty line that distinguishes those considered not poor or not vulnerable (above the line) from those categorized as poor or vulnerable (below the line). The one-dimensional analysis of poverty, however, shows limitations, particularly in regions with high epidemiological complexity and highly vulnerable populations, such as Brazil's Legal Amazon. This paper discusses and estimates a multidimensional approach to poverty in Brazil's Legal Amazon based on the multidimensional poverty index (MPI) according to the Alkire-Foster (2010) methodology. As a socioeconomic indicator, the MPI considers not only income, but also other indicators related to public health that affect the well-being of populations. The use of a multidimensional indicator allows a more complete understanding of socioeconomic and living conditions, facilitating the formulation of public policies. The results of the calculated indicator, MPI - Legal Amazon, show important differences in the characteristics of rural poverty, as well as in the intensity and incidence of this poverty, which are not identified by one-dimensional income indicators. The paper concludes that the multidimensional approach is key to address the complex issues of public health and socioeconomic development in the region.

Authors

Institutions

Publication Details

Journal
Cadernos de Saúde Pública
Published
2025-01-01
DOI
https://doi.org/10.1590/0102-311xen212223
Primary Topic
Income, Poverty, and Inequality
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multidimensional poverty indicators in Brazil’s Legal Amazon

Camila de Moura Vogt, Ricardo Bruno Nascimento dos Santos, Danilo Araújo Fernandes
Cadernos de Saúde Pública
Income, Poverty, and Inequality
article

Multidimensional poverty indicators in Brazil’s Legal Amazon

Camila de Moura Vogt, Ricardo Bruno Nascimento dos Santos, Danilo Araújo Fernandes
article en

Abstract

In public health research, socioeconomic indicators play a crucial role. They are essential for understanding the relation between poverty and health issues, as well as for allocating resources to public health infrastructure and providing appropriate treatments to the population. Traditionally, income has been the main indicator for measuring poverty, by establishing a poverty line that distinguishes those considered not poor or not vulnerable (above the line) from those categorized as poor or vulnerable (below the line). The one-dimensional analysis of poverty, however, shows limitations, particularly in regions with high epidemiological complexity and highly vulnerable populations, such as Brazil's Legal Amazon. This paper discusses and estimates a multidimensional approach to poverty in Brazil's Legal Amazon based on the multidimensional poverty index (MPI) according to the Alkire-Foster (2010) methodology. As a socioeconomic indicator, the MPI considers not only income, but also other indicators related to public health that affect the well-being of populations. The use of a multidimensional indicator allows a more complete understanding of socioeconomic and living conditions, facilitating the formulation of public policies. The results of the calculated indicator, MPI - Legal Amazon, show important differences in the characteristics of rural poverty, as well as in the intensity and incidence of this poverty, which are not identified by one-dimensional income indicators. The paper concludes that the multidimensional approach is key to address the complex issues of public health and socioeconomic development in the region.

Cadernos de Saúde PúblicaVol. 41(suppl 1)
Universidade Federal de Santa Maria (BR), Universidade Federal do Pará (BR)
No poverty
Openalex Percentile: Top 93%
Income, Poverty, and Inequality
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Multidimensional poverty indicators in Brazil’s Legal Amazon — Camila de Moura Vogt, Ricardo Bruno Nascimento dos Santos, et al. · Cadernos de Saúde Pública (2025) | TGRS Research Map | TGRS