Looking back 45 years or so, progress against poverty in India has been highly uneven over time and space. It took 20 years for the national poverty rate to fall below—and stay below—its value in the early 1950s. And trend rates of poverty reduction have differed appreciably between states. This research project aimed to understand what influence economy-wide and sectoral factors have played in the evolution of poverty measures for India since the 1950s, and to draw lessons for the future. This database contains detailed statistics on a wide range of topics in India. The data are presented at the state level and at the all-India level separately. The database uses published information to construct comprehensive series in six subject blocks. Period coverage is roughly from 1950 to 1994. The database contains 30 spreadsheets and 89 text files (ASCII) that are grouped into the six subject blocks. The formats and sizes of the 30 spreadsheets vary considerably. The list of variables included: . Expenditures (distribution) . National Accounts . Prices Wages . Population . Rainfall

As of 2022, over 13 million children between the ages of 10 to 14 years were affected by poverty. In general, age groups from 0 to 19 years were most impacted by extreme poverty.

India: Poverty ratio, percent living on less than 5.50 USD a day: The latest value from 2021 is 81.8 percent, a decline from 83 percent in 2020. In comparison, the world average is 25.11 percent, based on data from 71 countries. Historically, the average for India from 1977 to 2021 is 89.86 percent. The minimum value, 80.7 percent, was reached in 2019 while the maximum of 97.8 percent was recorded in 1977.

Of the total number of people living under extreme poverty in India in 2021, approximately ** million were females. Females were more affected by extreme poverty in India as opposed to their male counterparts during the same time period.

The dataset contains All India Yearly Number and Percentage of Population Below Poverty Line from Handbook of Statistics on Indian Economy.

In 2022, the total male population living in poverty in India was about ** million. By contrast, the number of females in poverty during the same time period was around ** million.

India: Poverty, percent of population: The latest value from 2011 is 21.9 percent, a decline from 29.8 percent in 2009. In comparison, the world average is 23.86 percent, based on data from 52 countries. Historically, the average for India from 2004 to 2011 is 29.63 percent. The minimum value, 21.9 percent, was reached in 2011 while the maximum of 37.2 percent was recorded in 2004.

BackgroundThough the concept of multidimensional poverty has been acknowledged cutting across the disciplines (among economists, public health professionals, development thinkers, social scientists, policy makers and international organizations) and included in the development agenda, its measurement and application are still limited. Objectives and MethodologyUsing unit data from the National Family and Health Survey 3, India, this paper measures poverty in multidimensional space and examine the linkages of multidimensional poverty with child survival. The multidimensional poverty is measured in the dimension of knowledge, health and wealth and the child survival is measured with respect to infant mortality and under-five mortality. Descriptive statistics, principal component analyses and the life table methods are used in the analyses. ResultsThe estimates of multidimensional poverty are robust and the inter-state differentials are large. While infant mortality rate and under-five mortality rate are disproportionately higher among the abject poor compared to the non-poor, there are no significant differences in child survival among educationally, economically and health poor at the national level. State pattern in child survival among the education, economical and health poor are mixed. ConclusionUse of multidimensional poverty measures help to identify abject poor who are unlikely to come out of poverty trap. The child survival is significantly lower among abject poor compared to moderate poor and non-poor. We urge to popularize the concept of multiple deprivations in research and program so as to reduce poverty and inequality in the population.

India IN: Poverty Headcount Ratio at $3.65 a Day: 2017 PPP: % of Population data was reported at 44.000 % in 2021. This records a decrease from the previous number of 48.200 % for 2020. India IN: Poverty Headcount Ratio at $3.65 a Day: 2017 PPP: % of Population data is updated yearly, averaging 62.000 % from Dec 1977 (Median) to 2021, with 14 observations. The data reached an all-time high of 89.100 % in 1977 and a record low of 44.000 % in 2021. India IN: Poverty Headcount Ratio at $3.65 a Day: 2017 PPP: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank.WDI: Social: Poverty and Inequality. Poverty headcount ratio at $3.65 a day is the percentage of the population living on less than $3.65 a day at 2017 international prices.;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 2019 to 2021, almost ** percent of the Indian population were reportedly multidimensionally poor. This reflected a much lower percentage of multidimensionally poor population in India. India has made significant progress in multidimensional poverty over the years. The share of multidimensional poor is expected to decline to around ** percent during 2022 to 2023.

In financial year 2023, Uttar Pradesh, India's most populated state had over ** percent people living under the poverty line of **** U.S. dollars per day. A decade ago the state had over ** percent of its population living under the threshold. The state of Bihar also witnessed a significant reduction in poverty rates from over ** percent in the financial year 2012 to over ** percent in the financial year 2023.

In 2021, over 12 percent of India's population was living on less than 2.15 U.S. dollars per day. When the 3.65 U.S. dollars per day threshold is considered, the share increased to over 44 percent.

India Poverty Headcount Ratio at Societal Poverty Lines: % of Population data was reported at 33.100 % in 2021. This records a decrease from the previous number of 34.800 % for 2020. India Poverty Headcount Ratio at Societal Poverty Lines: % of Population data is updated yearly, averaging 38.450 % from Dec 1977 (Median) to 2021, with 14 observations. The data reached an all-time high of 63.500 % in 1977 and a record low of 32.400 % in 2018. India 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 India – Table IN.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).

The dataset contains Year and State wise Poverty Rate-Number of Persons and Percentage

Lakdawala Methodology: An older method to measure poverty in India based on minimum calorie intake (2,400 rural / 2,100 urban). It used a 30-day recall for all expenses but did not include health and education costs.

Tendulkar Methodology:A revised method that considers actual spending on food, health, education, etc. It uses a mixed recall period and provides a more realistic estimate of poverty.

Mixed Recall Period: Combines two recall periods: 30 days for regular items and 365 days for infrequent ones. This helps reduce errors and gives a better picture of total household spending.

30-Day Recall Period: Collects data based on what households spent in the last 30 days for all items. It may miss big or occasional expenses and can underestimate actual consumption.

India Multidimensional Poverty Headcount Ratio: UNDP: % of total population data was reported at 16.400 % in 2019. India Multidimensional Poverty Headcount Ratio: UNDP: % of total population data is updated yearly, averaging 16.400 % from Dec 2019 (Median) to 2019, with 1 observations. The data reached an all-time high of 16.400 % in 2019 and a record low of 16.400 % in 2019. India Multidimensional Poverty Headcount Ratio: UNDP: % of total population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank.WDI: Social: Poverty and Inequality. The multidimensional poverty headcount ratio (UNDP) is the percentage of a population living in poverty according to UNDPs multidimensional poverty index. The index includes three dimensions -- health, education, and living standards.;Alkire, S., Kanagaratnam, U., and Suppa, N. (2023). ‘The global Multidimensional Poverty Index (MPI) 2023 country results and methodological note’, OPHI MPI Methodological Note 55, Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. (https://ophi.org.uk/mpi-methodological-note-55-2/);;

Data on poverty & hunger in India - undernourishment, wasting and stunting in children, global hunger index, and more.

These files contain all the data used in the publication "Poverty or Prosperity in Northern India? New Evidence on Real Wages, 1590s-1870s". This paper introduces a new dataset on wages in northern India (from Gujarat in the West to Bengal in the East) from the 1590s to the 1870s. It follows Allen’s subsistence basket methodology to compute internationally comparable real wages to shed light on developments in Indian living standards over time, as well as to test some of the assumptions underlying the comparative real wage methodology. It adjusts the comparative cost of living indices to take into account differences in caloric intake due to variances in heights. Furthermore, the paper discusses the male/female wage gap in northern India. We demonstrate that the Great Divergence started somewhere in the late seventeenth century. This gap widens further after the 1720s and especially after the 1800s. It is subsequently primarily England’s spurt and India’s stagnation in the first half of the nineteenth century which brought about most serious differences in the standard of living in Eurasia. If the British colonial state is to blame – as often happens in the literature on India’s persistent poverty – it is in their failure to improve the already deteriorated situation after they had become the near-undisputed masters of India since 1820.

India Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data was reported at 2.570 % in 2017. This records a decrease from the previous number of 3.400 % for 2011. India Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data is updated yearly, averaging 1.930 % from Dec 1995 (Median) to 2017, with 9 observations. The data reached an all-time high of 3.400 % in 2011 and a record low of 1.290 % in 2001. India 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 India – Table IN.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/].

As of 2021, India approximately *** percent of surveyed households were reportedly living in severe multidimensional poverty, whereas about **** percent of the population was at risk of suffering multidimensional deprivations.

Graph and download economic data for Estimated Percent of Related Children Age 5-17 in Families in Poverty for Indian River County, FL (PP5T17FL12061A156NCEN) from 1989 to 2023 about Indian River County, FL; Sebastian; 5 to 17 years; family; FL; percent; child; poverty; and USA.