In 2022, the share of population living on less than 3.20 U.S. dollars per day in Chile amounted to 0.9 percent. Between 1987 and 2022, the figure dropped by 34.1 percentage points, though the decline followed an uneven course rather than a steady trajectory.

Throughout the time period displayed in Chile, the share of the population living in extreme poverty has decreased overall. However, there was a rebound increase in 2020, recording a rate of *** percent.

Historical dataset showing Chile poverty rate by year from 1987 to 2022.

Poverty rate of Chile plummeted by 41.33% from 0.6 % in 2011 to 0.4 % in 2013. Since the 22.96% surge in 2000, poverty rate sank by 91.65% in 2013. Population below $1.90 a day is the percentage of the population living on less than $1.90 a day at 2011 international prices.

CL: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data was reported at 3.140 % in 2022. CL: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data is updated yearly, averaging 3.140 % from Dec 2022 (Median) to 2022, with 1 observations. The data reached an all-time high of 3.140 % in 2022 and a record low of 3.140 % in 2022. CL: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Poverty and Inequality. The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The coverage and quality of the 2017 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2017 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations.;World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).;;The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

Throughout the time period displayed, the poverty share among the population in Chile has experienced a noticeable decrease, although it has consistently been higher for women.

In Chile, the share of indigenous population living below the poverty line totaled 9.9 percent in 2022. In comparison to the beginning of the analyzed period, this represents a decrease of 39.6 percentage points. Among selected Latin American countries, Chile had one of the lowest shares of indigenous population living in poverty that year.

The average for 2020 based on 10 countries was 30.53 percent. The highest value was in Mexico: 43.9 percent and the lowest value was in Chile: 10.8 percent. The indicator is available from 2000 to 2023. Below is a chart for all countries where data are available.

0.90 (النسبة المئوية) in 2022. Population below $3.1 a day is the percentage of the population living on less than $3.1 a day at 2005 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.

Chile CL: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 43.000 % in 2022. This records a decrease from the previous number of 47.000 % for 2020. Chile CL: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 49.600 % from Dec 1987 (Median) to 2022, with 16 observations. The data reached an all-time high of 57.200 % in 1990 and a record low of 43.000 % in 2022. Chile CL: Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Poverty and Inequality. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

During the time period displayed in the South American country of Chile, the extreme poverty share of the population has consistently decreased. However, it is noteworthy that the female population has been disproportionately affected, with a greater percentage of women experiencing extreme poverty each year. Despite this, the share of extreme poverty has gradually approached equality by the year 2020.

Chile CL: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data was reported at 2.170 % in 2022. Chile CL: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data is updated yearly, averaging 2.170 % from Dec 2022 (Median) to 2022, with 1 observations. The data reached an all-time high of 2.170 % in 2022 and a record low of 2.170 % in 2022. Chile CL: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Poverty and Inequality. The growth rate in the welfare aggregate of the total population is computed as the annualized average growth rate in per capita real consumption or income of the total population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The coverage and quality of the 2017 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2017 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations.;World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).;;The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

This table lists the comuna-level poverty estimates used in our analysis. (XLSX)

The aim of this study was to conduct a review of the health and nutritional status of Chilean indigenous children, specifically Mapuche children, as published in the literature and specific population-based studies. The searches were conducted in PubMed and LILACS in the last 15 years. From 2006 to 2015, the poverty rate was higher in the indigenous population, with a decrease in the gap from 16% in 2006 to 7.7% in 2015 (p < 0.001). In the first decade of this century, infant mortality in indigenous children was 17.1/1,000 live births, while in non-indigenous children it was 8.8/1,000, and the gap was maintained in the five-year follow-up (p < 0.001). Newborns with birthweight < 2,500g in the year 2000 did not reach 6% (5.6% in non-indigenous and 5.2% in indigenous children). Low height at first school enrollment was 8.4% in indigenous schoolchildren and 3.1% in non-indigenous children, decreasing to 3.7% in indigenous children and 2.6% in non-indigenous children in 2004, while obesity increased more in indigenous children, reaching 24.2% in indigenous and 25.3% in non-indigenous children (p < 0.001). Menarche appeared four months later on average in indigenous girls (12.7 years), and body mass index, waist circumference, and fat mass were significantly greater in indigenous girls at the time of thelarche, as was the overweight rate (55%, vs. 42% in non-indigenous). Mapuche children show favorable health and nutritional status compared to indigenous children elsewhere in Latin America, but there is still an adverse gap compared to non-indigenous Chilean children. This inequality affecting indigenous Chilean children should be acknowledged and corrected.

Among the OECD countries, Costa Rica had the highest share of children living in poverty, reaching **** percent in 2022. Türkiye followed with a share of ***percent of children living in poverty, while **** percent of children in Spain, Chile, and the United States did the same. On the other hand, only ***** percent of children in Finland were living in poverty.

Summary of the independent variables.

List of variables, definitions and source.

IS: Poverty Headcount Ratio at $1.90 a Day: 2011 PPP: % of Population data was reported at 0.000 % in 2014. This stayed constant from the previous number of 0.000 % for 2013. IS: Poverty Headcount Ratio at $1.90 a Day: 2011 PPP: % of Population data is updated yearly, averaging 0.000 % from Dec 2003 (Median) to 2014, with 12 observations. The data reached an all-time high of 0.200 % in 2011 and a record low of 0.000 % in 2014. IS: Poverty Headcount Ratio at $1.90 a Day: 2011 PPP: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iceland – Table IS.World Bank: Poverty. Poverty headcount ratio at $1.90 a day is the percentage of the population living on less than $1.90 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. The aggregated numbers for low- and middle-income countries correspond to the totals of 6 regions in PovcalNet, which include low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia). See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

Beta regressions of self-management mean and its dimensions with the independent variables.

Sequential ANOVA of self-management mean and its dimensions with the independent variables.