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.

Poverty headcount ratio at national poverty lines (% of population) in Chile was reported at 6.5 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Chile - Poverty headcount ratio at national poverty line (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Chile Poverty Headcount Ratio at Societal Poverty Lines: % of Population data was reported at 18.100 % in 2022. This records a decrease from the previous number of 20.600 % for 2020. Chile Poverty Headcount Ratio at Societal Poverty Lines: % of Population data is updated yearly, averaging 26.650 % from Dec 1987 (Median) to 2022, with 16 observations. The data reached an all-time high of 35.400 % in 1987 and a record low of 18.100 % in 2022. Chile Poverty Headcount Ratio at Societal Poverty Lines: % of Population 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 poverty headcount ratio at societal poverty line is the percentage of a population living in poverty according to the World Bank's Societal Poverty Line. The Societal Poverty Line is expressed in purchasing power adjusted 2017 U.S. dollars and defined as max($2.15, $1.15 + 0.5*Median). This means that when the national median is sufficiently low, the Societal Poverty line is equivalent to the extreme poverty line, $2.15. For countries with a sufficiently high national median, the Societal Poverty Line grows as countries’ median income grows.;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).

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

Chile Poverty Statistics: Los Ríos data was reported at 44,984.000 Person in 2017. This records a decrease from the previous number of 61,883.000 Person for 2015. Chile Poverty Statistics: Los Ríos data is updated yearly, averaging 101,168.000 Person from Dec 2006 (Median) to 2017, with 6 observations. The data reached an all-time high of 163,021.000 Person in 2006 and a record low of 44,984.000 Person in 2017. Chile Poverty Statistics: Los Ríos data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s Chile – Table CL.H020: National Socio-Economic Characterization Survey: Poverty Situation.

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.

Poverty rate at $1.9 a day of Chile plummeted by 70.59% from 1.70 % in 2020 to 0.50 % in 2022. Since the 16.22% surge in 2000, poverty rate at $1.9 a day sank by 94.19% in 2022. Population below $1.9 a day is the percentage of the population living on less than $1.9 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.

Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data was reported at 2.030 % in 2016. This records an increase from the previous number of 1.530 % for 2011. Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data is updated yearly, averaging 1.530 % from Dec 2006 (Median) to 2016, with 3 observations. The data reached an all-time high of 2.030 % in 2016 and a record low of 1.040 % in 2006. Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % 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. This indicator shows the fraction of a country’s population experiencing out-of-pocket health impoverishing expenditures, defined as expenditures without which the household they live in would have been above the 60% median consumption but because of the expenditures is below the poverty line. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).;Global Health Observatory. Geneva: World Health Organization; 2023. (https://www.who.int/data/gho/data/themes/topics/financial-protection);Weighted average;This indicator is related to Sustainable Development Goal 3.8.2 [https://unstats.un.org/sdgs/metadata/].

Urban poverty rate of Chile plummeted by 37.69% from 19.9 % in 2011 to 12.4 % in 2013. Since the 39.46% surge in 2006, urban poverty rate sank by 51.94% in 2013. Urban poverty rate is the percentage of the urban population living below the national urban poverty line.

Chile Poverty Statistics: Poverty: Average Gap data was reported at 2.100 % in 2017. This records a decrease from the previous number of 3.000 % for 2015. Chile Poverty Statistics: Poverty: Average Gap data is updated yearly, averaging 5.100 % from Dec 2006 (Median) to 2017, with 6 observations. The data reached an all-time high of 9.300 % in 2006 and a record low of 2.100 % in 2017. Chile Poverty Statistics: Poverty: Average Gap data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s Chile – Table CL.H020: National Socio-Economic Characterization Survey: Poverty Situation.

Poverty ratio at $5.5 a day of Chile plummeted by 29.41% from 5.1 % in 2015 to 3.6 % in 2017. Since the 6.29% surge in 2000, poverty ratio at $5.5 a day sank by 88.16% in 2017. Poverty headcount ratio at $5.50 a day is the percentage of the population living on less than $5.50 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.

Multidimensional Poverty Headcount Ratio: World Bank: % of total population data was reported at 0.500 % in 2022. This records a decrease from the previous number of 1.800 % for 2020. Multidimensional Poverty Headcount Ratio: World Bank: % of total population data is updated yearly, averaging 0.550 % from Dec 2011 (Median) to 2022, with 6 observations. The data reached an all-time high of 1.800 % in 2020 and a record low of 0.400 % in 2017. Multidimensional Poverty Headcount Ratio: World Bank: % of total population 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 multidimensional poverty headcount ratio (World Bank) is the percentage of a population living in poverty according to the World Bank's Multidimensional Poverty Measure. The Multidimensional Poverty Measure includes three dimensions – monetary poverty, education, and basic infrastructure services – to capture a more complete picture of poverty.;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).

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.

0.2 (%) in 2017. Poverty gap at $1.90 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $1.90 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.

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.

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.

Chile Poverty Statistics: Female data was reported at 836,009.000 Person in 2017. This records a decrease from the previous number of 1,115,809.000 Person for 2015. Chile Poverty Statistics: Female data is updated yearly, averaging 1,715,728.500 Person from Dec 2006 (Median) to 2017, with 6 observations. The data reached an all-time high of 2,455,020.000 Person in 2006 and a record low of 836,009.000 Person in 2017. Chile Poverty Statistics: Female data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s Chile – Table CL.H020: National Socio-Economic Characterization Survey: Poverty Situation.

Objective:Â To investigate the frequency of coronavirus disease (COVID-19) in patients with multiple sclerosis (pwMSs) living in a high socioeconomic vulnerability area in Chile.

Methods:Â In this prospective cohort study, we compared the frequency of COVID-19 in 52 Chilean pwMSs on disease-modifying treatments (DMTs), living in urban municipalities with low-income/high-poverty levels, with that previously reported in pwMSs living in municipalities with high-income/low-poverty rates in Santiago, Chile. Demographic and clinical features of the pwMSs were obtained from their last consultation between March 3, 2020, and August 29, 2020.

Results:Â In the low-income pwMSs, the mean patient age was 34 years, 69% were women, mean disease duration was 3 years, and mean Expanded Disability Status Scale score was 1.6. Of these, 61.5% pwMSs (32/52) underwent quarantine during the study period. COVID-19 diagnosis was confirmed by reverse transcriptase polymerase chain reaction in five patients...

0.50 (النسبة المئوية) in 2022. Population below $1.9 a day is the percentage of the population living on less than $1.9 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.