As of 2022, over ********** 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.

During 2019 to 2021, ******* percent of the Indian population were reportedly multidimensionally poor. This reflected a much lower percentage of multidimensionally poor population in India as compared to 2016. India has made significant progress in multidimensional poverty over the years.

As per World Bank's thresholds, in 2022, over 23.9 percent of India's population was living on less than 3 U.S. dollars per day. When the 4.20 U.S. dollars per day threshold is considered, the share increased to over 5.3 percent. The poverty line of 4.20 per day is set by the World Bank to be representative of the definitions of poverty adopted in lower-middle-income countries.

Historical dataset showing India poverty rate by year from 1977 to 2022.

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

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

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.

Yearly (annual) dataset of the India Poverty Rate, including historical data, latest releases, and long-term trends from 1977-12-31 to 2022-12-31. Available for free download in CSV format.

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.

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).

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.

Context

India per capita poverty line by state 2011-12

Content

http://niti.gov.in/state-statistics# Tendulkar Poverty Lines monthly per capita expenditure (Rs) substitution data used as per notes for some regions

rural population from: https://en.wikipedia.org/wiki/List_of_states_and_union_territories_of_India_by_population#States_and_union_territories_(by_population) from http://censusindia.gov.in/2011-prov-results/paper2/prov_results_paper2_india.html

holes in rural pop filled with: http://lakshadweep.nic.in/documents/census2011/rural%20urban%20data%20sheet%20_Lakshadweep1_.pdf

FII Rank, CFII, CDI from http://journals.sagepub.com/doi/pdf/10.1177/0973005216633940 Measuring Financial Inclusion of Indian States

Acknowledgements

Thanks to India for publishing the survey data.

Inspiration

added to work with the kiva data challenge.

India IN: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: 2017 PPP per day data was reported at 2.010 Intl $/Day in 2011. This records an increase from the previous number of 1.610 Intl $/Day for 2004. India IN: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: 2017 PPP per day data is updated yearly, averaging 1.810 Intl $/Day from Dec 2004 (Median) to 2011, with 2 observations. The data reached an all-time high of 2.010 Intl $/Day in 2011 and a record low of 1.610 Intl $/Day in 2004. India IN: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: 2017 PPP per day 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. Mean consumption or income per capita (2017 PPP $ per day) of the bottom 40%, used in calculating the growth rate in the welfare aggregate of the bottom 40% of the population in the income distribution in a country.;World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).;;The choice of consumption or income for a country is made according to which welfare aggregate is used to estimate extreme poverty in the Poverty and Inequality Platform (PIP). The practice adopted by the World Bank for estimating global and regional poverty is, in principle, to use per capita consumption expenditure as the welfare measure wherever available; and to use income as the welfare measure for countries for which consumption is unavailable. However, in some cases data on consumption may be available but are outdated or not shared with the World Bank for recent survey years. In these cases, if data on income are available, income is used. Whether data are for consumption or income per capita is noted in the footnotes. Because household surveys are infrequent in most countries and are not aligned across countries, comparisons across countries or over time should be made with a high degree of caution.

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 Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 9.800 % in 2021. This records a decrease from the previous number of 10.000 % for 2020. India Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 6.200 % from Dec 1977 (Median) to 2021, with 14 observations. The data reached an all-time high of 10.300 % in 2019 and a record low of 5.100 % in 2004. India Proportion of People Living Below 50 Percent Of Median Income: % 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 percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. 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.;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).

India IN: Increase in Poverty Gap at $3.20: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: % of Poverty Line data was reported at 2.545 % in 2011. This records an increase from the previous number of 2.190 % for 2009. India IN: Increase in Poverty Gap at $3.20: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: % of Poverty Line data is updated yearly, averaging 2.545 % from Dec 2000 (Median) to 2011, with 7 observations. The data reached an all-time high of 2.764 % in 2006 and a record low of 2.123 % in 2000. India IN: Increase in Poverty Gap at $3.20: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: % of Poverty Line 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: Poverty. Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, as a percentage of the $3.20 poverty line. The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending.; ; World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.; Weighted average;

This dataset contains estimates of the poor and extreme poor rural population within each region (administrative level 1) of the CRPs countries. The poverty lines are defined using the thresholds of 3.10$/day and 1.90$/day respectively, expressed in 2011 PPP $. With the exception of India, all the other estimates are based on authors’ calculations using data from nationally representative household surveys.

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/].

Context

This datasets contains data from RBI which is published annually and this data has different features such as

Column names and legends

2000-01-INC = Income of each state for the year 2001 2011-12-INC = Income of each state for the year 2011

2001 - LIT = Literacy rate of each state for the year 2001 2011- LIT = Literacy rate of each state for the year 2011

2001 - POP = Total population of each state for the year 2001 2011- POP = Total population of each state for the year 2011

2001 -SEX_Ratio = Sex_Ratio of the each state for the year 2001 2011 -SEX_Ratio = Sex_Ratio of the each state for the year 2011

2001 -UNEMP = Unemployment rate of the each state for the year 2001 2011 -UNEMP = Unemployment rate of the each state for the year 2011

2001 -Poverty = Poverty rate of the each state for the year 2001 2011 -Poverty = Poverty rate of the each state for the year 2001

Unemployment Rate - for a month is calculated using the following formula: The monthly estimations for India are calculated as a ratio of the total estimated unemployed persons in India to the total estimated labor force for a month

Poverty rate = A common method used to estimate poverty in India is based on the income or consumption levels and if the income or consumption falls below a given minimum level, then the household is said to be Below the Poverty Line

state's Income measured using state domestic product - is the total value of goods and services produced during any financial year within the geographical boundaries of a state

Literacy rate - Total number of literate persons in a given age group, expressed as a percentage of the total population in that age group. The adult literacy rate measures literacy among persons aged 15 years and above, and the youth literacy rate measures literacy among persons aged 15 to 24 years

Acknowledgements

I wouldn't be here without the help of my friends and people who read this post. I owe you thanks for this research.

Inspiration

here are pretty basic question but I would high appreciate the data scientist community for any deep insight of the data in plots Cheers!!

Objective of the study:

-Is state's income is based on the education of the state -Does literacy rate contribute any changes to poverty rate

Source of the Datasets

datasets link

if this found useful kindly up-vote cheers!!