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 of August 2020, ** percent of Indian households in the ****** quantile, the highest quintile of pre-COVID-19 consumption, had to live below the poverty line after the pandemic. Meanwhile, the share of households in the second quintile soared from ** percent to ** percent in August 2020 within the span of only *** year.

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.

Goal 1: End poverty in all its forms everywhereGlobally, the number of people living in extreme poverty has declined by more than half from 1.9 billion in 1990. However, 836 million people still live in extreme poverty. About one in five persons in developing regions lives on less than $1.25 per day.Southern Asia and sub-Saharan Africa are home to the overwhelming majority of people living in extreme poverty.High poverty rates are often found in small, fragile and conflict-affected countries.One in four children under age five in the world has inadequate height for his or her age.The all India Poverty Head Count Ratio (PHCR) has been brought down from 47% in 1990 to 21% in 2011-2012, nearly halved.Data source: https://niti.gov.in/sites/default/files/SDG-India-Index-2.0_27-Dec.pdfPlease find detailed metadata here.This web layer is offered by Esri India, for ArcGIS Online subscribers. If you have any questions or comments, please let us know via content@esri.in.

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.

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;

From 2019 to 2021, the share of multidimensional poor in the total population of Delhi sank to **** percent during the NFHS round of 2021 as compared to **** percent from 2015 to 2016. It is expected to further drop to *** percent during 2022 and 2023. The proportion of multidimensionally poor in the population is arrived at by dividing the number of multi-dimensionally poor persons by the total population.

India IN: Increase in Poverty Gap at $3.20: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: USD data was reported at 8.144 USD in 2011. This records an increase from the previous number of 7.007 USD for 2009. India IN: Increase in Poverty Gap at $3.20: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: USD data is updated yearly, averaging 8.144 USD from Dec 2000 (Median) to 2011, with 7 observations. The data reached an all-time high of 8.846 USD in 2006 and a record low of 6.794 USD in 2000. India IN: Increase in Poverty Gap at $3.20: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: USD 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, expressed in US dollars (2011 PPP). 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;

Decomposition for contributing factor to multidimensional child poverty in India, 2015–21.

Results of Multilevel logistic regression predicting multidimensional poverty among children under age five in India, 2015–2021.

As of December 2020, around ** percent of households in urban India spent no more than *** thousand Indian rupees per month. Meanwhile, ** percent of rural Indian households had at most *** thousand rupees to live on. According to the source, the urban poverty line in India is set at a monthly spending of ***** Indian rupees, whereas the rural poverty line is ***** INR per month. In general, poverty in both urban and rural India in December 2020 had increased in comparison to December 2019, most likely exacerbated by the impact of the COVID-19 pandemic.

。多维贫困率：联合国开发计划署：占总人口百分比数据按年更新，12-01-2019至12-01-2019期间平均值为16.400%，共1份观测结果。该数据的历史最高值出现于12-01-2019，达16.400%，而历史最低值则出现于12-01-2019，为16.400%。CEIC提供的多维贫困率：联合国开发计划署：占总人口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。

Goal 8: Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for allGlobal unemployment increased from 170 million in 2007 to nearly 202 million in 2012, of which about 75 million are young women and men.Nearly 2.2 billion people live below the US$2 poverty line and poverty eradication is only possible through stable and well-paid jobs.470 million jobs are needed globally for new entrants to the labour market between 2016 and 2030.Small and medium-sized enterprises that engage in industrial processing and manufacturing are the most critical for the early stages of industrialization and are typically the largest job creators. They make up over 90% of business worldwide and account for between 50-60% of employment.The unemployment rate in India is estimated to be approximately 5% at All India level (2013-14). India’s labour force is set to grow by more than 8 million per year.Data source: https://niti.gov.in/sites/default/files/SDG-India-Index-2.0_27-Dec.pdfPlease find detailed metadata here.This web layer is offered by Esri India, for ArcGIS Online subscribers, If you have any questions or comments, please let us know via content@esri.in.

Concentration index of child stunting by background characteristics, India, 2019–21.

Abstract

Young Lives: An International Study of Childhood Poverty is a collaborative project investigating the changing nature of childhood poverty in selected developing countries. The UK’s Department for International Development (DFID) is funding the first three-year phase of the project.

Young Lives involves collaboration between Non Governmental Organisations (NGOs) and the academic sector. In the UK, the project is being run by Save the Children-UK together with an academic consortium that comprises the University of Reading, London School of Hygiene and Tropical Medicine, South Bank University, the Institute of Development Studies at Sussex University and the South African Medical Research Council.

The study is being conducted in Ethiopia, India (in Andhra Pradesh), Peru and Vietnam. These countries were selected because they reflect a range of cultural, geographical and social contexts and experience differing issues facing the developing world; high debt burden, emergence from conflict, and vulnerability to environmental conditions such as drought and flood.

Objectives of the study The Young Lives study has three broad objectives: • producing good quality panel data about the changing nature of the lives of children in poverty. • trace linkages between key policy changes and child poverty • informing and responding to the needs of policy makers, planners and other stakeholders There will also be a strong education and media element, both in the countries where the project takes place, and in the UK.

The study takes a broad approach to child poverty, exploring not only household economic indicators such as assets and wealth, but also child centred poverty measures such as the child’s physical and mental health, growth, development and education. These child centred measures are age specific so the information collected by the study will change as the children get older.

Further information about the survey, including publications, can be downloaded from the Young Lives website.

Geographic coverage

Young Lives is an international study of childhood poverty, involving 12,000 children in 4 countries. - Ethiopia (20 communities in Addis Ababa, Amhara, Oromia, and Southern National, Nationalities and People's Regions) - India (20 sites across Andhra Pradesh and Telangana) - Peru (74 communities across Peru) - Vietnam (20 communities in the communes of Lao Cai in the north-west, Hung Yen province in the Red River Delta, the city of Danang on the coast, Phu Yen province from the South Central Coast and Ben Tre province on the Mekong River Delta)

Analysis unit

Individuals; Families/households

Universe

Location of Units of Observation: Cross-national; Subnational Population: Children aged approximately 1 year old and their households, and children aged 8 years old and their households, in Ethiopia, India (Andhra Pradesh), Peru and Vietnam, in 2002. See documentation for details of the exact regions covered in each country.

Kind of data

Sample survey data [ssd]

Sampling procedure

Purposive selection/case studies

A key need for the study's objectives was to obtain data at different levels - the children, their households, the community in which they resided, as well as at regional and national levels. This need thus determined that children should be selected in geographic clusters rather than randomly selected across the country. There was, however, a much more important reason for recruiting children in clusters - the sites are also intended to provide suitable settings for a range of complementary thematic studies. For example, one or a few sites may be used for a qualitative study designed to achieve a deeper level of understanding of some social issues, either because they are important in that particular place, or because the sites are appropriate locales to investigate a more general concern. The quantitative panel study is seen as the foundation upon which a coherent and interesting range of linked studies can be set up.

Thus the design was decided, in each country, comprising 20 geographic clusters with 100 children sampled in each cluster.

For details on sample design, see the methodological document which is available in the documentation.

Sampling deviation

Ethiopia: 1,999 (1-year-olds), 1,000 (8-year-olds); India: 2,011 (1-year-olds), 1,008 (8-year-olds); Peru: 2,052 (1-year-olds), 714 (8-year-olds); Vietnam: 2,000 (1-year-olds), 1,000 (8-year-olds).

Mode of data collection

Face-to-face interview

Research instrument

Every questionnaire used in the study consists of a 'core' element and a country-specific element, which focuses on issues important for that country.

The core element of the questionnaires consists of the following sections: Core 6-17.9 month old household questionnaire • Section 1: Locating information • Section 2: Household composition • Section 3: Pregnancy, delivery and breastfeeding • Section 4: Child care • Section 5: Child health • Section 6: Caregiver background • Section 7: Livelihoods and time allocation • Section 8: Economic changes • Section 9: Socio-economic status • Section 10: Caregiver psychosocial well-being • Section 11: Social capital • Section 12: Tracking details • Section 13: Anthropometry

Core 7.5-8.5 year old household questionnaire • Section 1: Locating information • Section 2: Household composition • Section 3: Births and deaths • Section 4: Child school • Section 5: Child health • Section 6: Caregiver background • Section 7: Livelihoods and time allocation • Section 8: Economic changes • Section 9: Socio-economic status • Section 10: Child mental health • Section 11: Social capital • Section 12: Tracking details • Section 13: Anthropometry

The communnity questionnaire consists of the following sections: • Section 1: Physical environment • Section 2: Social environment • Section 3: Infrastructure and access • Section 4: Economy • Section 5: Health and education

As of December 2020, **** percent of Indian households spent no more than *** thousand Indian rupees (INR) per month, whereas **** percent had at most merely *** thousand rupees to live on. In general, the share of households within each respective cut-off value in December 2020 increased in comparison with December 2019, which most likely indicated that poverty in India had been exacerbated by the impact of the COVID-19 pandemic.

Prevalence (%) of stunting among under-five children by wealth quintile and background characteristics, India, 2019–21.

This layer shows Socio- Economic Profiles and Inter-State Comparison of Selected Major States of IndiaData source Url: https://www.indiabudget.gov.in/economicsurvey/doc/stat/tab89a.pdfSource: Office of Registrar General of India(RGI). Andhra Pradesh excludes Telangana for Sex ratio at birthNITI Aayog, Figures in parenthesis are rank amongst the selected 20 States Press Note on Poverty Estimates 2011-12, Government of India (2013)School Education in India, U-DISE + 2019-20 (Provisional)CSO, GSDP at constant prices and per capita income is at current prices ( Base Year 2011-12)National Statistical Office (NSO), Monthly per capita expenditure (MPCE) is based on mixed modified recall period,Periodic Labour Force Survey, 2019-20 (NSO); WPR (Worker Participation Rate) and Unemployment Rate are based on Usual Principal & Subsidiary Status (UPSS). This web layer is offered by Esri India, for ArcGIS Online subscribers. If you have any questions or comments, please let us know via content@esri.in.Note: Transition Rate: The number of new entrants admitted to the first grade of the next stage of school education in a given year, expressed as a percentage of number of pupils enrolled in the final grade of the current stage of school education in the previous year.

Decomposition of concentration indices of stunting by background characteristics, India, 2015–16.