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.

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

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.

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 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.

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.

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 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/].

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.

44.80 (%) in 2019. 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.

Percentage of abject poor households, moderate poor households and the percentage of population living below the poverty line (consumption poverty) in the states of India, 2005–06.

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.

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.

Explore gender statistics data focusing on academic staff, employment, fertility rates, GDP, poverty, and more in the GCC region. Access comprehensive information on key indicators for Bahrain, China, India, Kuwait, Oman, Qatar, and Saudi Arabia.

academic staff, Access to anti-retroviral drugs, Adjusted net enrollment rate, Administration and Law programmes, Age at first marriage, Age dependency ratio, Cause of death, Children out of school, Completeness of birth registration, consumer prices, Cost of business start-up procedures, Employers, Employment in agriculture, Employment in industry, Employment in services, employment or training, Engineering and Mathematics programmes, Female headed households, Female migrants, Fertility planning status: mistimed pregnancy, Fertility planning status: planned pregnancy, Fertility rate, Firms with female participation in ownership, Fisheries and Veterinary programmes, Forestry, GDP, GDP growth, GDP per capita, gender parity index, Gini index, GNI, GNI per capita, Government expenditure on education, Government expenditure per student, Gross graduation ratio, Households with water on the premises, Inflation, Informal employment, Labor force, Labor force with advanced education, Labor force with basic education, Labor force with intermediate education, Learning poverty, Length of paid maternity leave, Life expectancy at birth, Mandatory retirement age, Manufacturing and Construction programmes, Mathematics and Statistics programmes, Number of under-five deaths, Part time employment, Population, Poverty headcount ratio at national poverty lines, PPP, Primary completion rate, Retirement age with full benefits, Retirement age with partial benefits, Rural population, Sex ratio at birth, Unemployment, Unemployment with advanced education, Urban population

Bahrain, China, India, Kuwait, Oman, Qatar, Saudi Arabia

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The statistic represents the regions with the highest rural poverty population across India in 2011-12, distributed by states and union territories. With close to 63 percent of its population living under the poverty line, the union territory of Dadra and Nagar Haveli had the highest rural poverty share, followed by the state of Chhattisgarh with over 44 percent of its rural people living in poverty.

The rural poverty line across India in 2011-12, broken down by states and union territories can be found here.

Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure：百分比在12-01-2017达2.570%，相较于12-01-2011的3.400%有所下降。Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure：百分比数据按年更新，12-01-1995至12-01-2017期间平均值为1.930%，共9份观测结果。该数据的历史最高值出现于12-01-2011，达3.400%，而历史最低值则出现于12-01-2001，为1.290%。CEIC提供的Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure：百分比数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的印度 – Table IN.World Bank.WDI: Social: Poverty and Inequality。

As of 2021, the intensity of poverty experienced by Delhiites living in multidimensional poverty improved to approximately ** percent from ***** percent in the last round of the NFHS survey between 2015 and 2016. The intensity of poverty refers to the average proportion of deprivations experienced by multidimensionally poor individuals; in other words, it helps us to understand how poor people experiencing poverty are.

The statistic displays the regions with the lowest rural poverty population across India in *******, distributed by states and union territories. With **** percent of its population living under the poverty line, the union territory of Andaman and Nicobar islands had the lowest rural poverty share that year, followed by the union territory of Chandigarh with over *** percent of its rural population living in poverty.

The rural poverty line across India in *******, broken down by state and union territory can be found here.

The statistic shows the regions with the highest urban poverty across India in 2011-12, distributed by states and union territories. With close to 33 percent of its population living under the urban poverty line, the state of Manipur had the highest urban poverty that year, followed by the state of Bihar with over 31 percent of its urban population living in poverty.

The urban poverty line across India in 2011-12, broken down by states and union territories can be found here.

In 2024, India’s real gross domestic product (GDP) growth rate was around **** percent, the highest in South Asia. In contrast, Nepal reported the lowest real GDP growth rate in the region at approximately **** percent that year, but it was forecasted to increase to **** percent in 2026.Economy in South Asia In general, South Asia encompasses Sri Lanka, Pakistan, Afghanistan, Bangladesh, Nepal, India and Bhutan. In 2020, India had a GDP of over *** trillion U.S. dollars, while Bangladesh and Sri Lanka followed. The Maldives and Bhutan were among the countries with the lowest GDP in the Asia-Pacific region. In South Asia, the main economic activities include the services sector as well as the industrial and manufacturing sectors.Society in South AsiaFrom the South Asian countries, Bangladesh had the highest share of people living below the poverty line. The Maldives and Sri Lanka exhibited the highest and second-highest GDP per capita among the South Asian countries in 2021.