At the end of 2022, the total household wealth in India stood at over 16 trillion U.S. dollars, up from over 14 trillion in 2021. Except a decline during pandemic, the household wealth has been on the rise.

In the post-Covid financial year of 2021, the poorest 20 percent of households witnessed income levels shrink by 52 percent from levels in financial year 2016. The pandemic resulted in the gap between the richest and the poorest 20 percent from 3.8 times in financial year 2016 to 11 times in financial year 2021. In the financial year 2023, the gap narrowed down to seven times.

Data and insights on Wealth Distribution in India - share of wealth, average wealth, HNIs, wealth inequality GINI, and comparison with global peers.

India Households: Gross Disposable Income data was reported at 131,525,002.483 INR mn in 2018. This records an increase from the previous number of 119,566,177.097 INR mn for 2017. India Households: Gross Disposable Income data is updated yearly, averaging 98,430,689.082 INR mn from Mar 2012 (Median) to 2018, with 7 observations. The data reached an all-time high of 131,525,002.483 INR mn in 2018 and a record low of 70,347,611.519 INR mn in 2012. India Households: Gross Disposable Income data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under Global Database’s India – Table IN.AI002: NAS 2011-2012: National and Personal Disposable Income.

In the financial year 2021, a majority of Indian households fell under the aspirers category, earning between 125,000 and 500,000 Indian rupees a year. On the other hand, about three percent of households that same year, accounted for the rich, earning over 3 million rupees annually. The middle class more than doubled that year compared to 14 percent in financial year 2005.

Middle-class income group and the COVID-19 pandemic

During the COVID-19 pandemic specifically during the lockdown in March 2020, loss of incomes hit the entire household income spectrum. However, research showed the severest affected groups were the upper middle- and middle-class income brackets. In addition, unemployment rates were rampant nationwide that further lead to a dismally low GDP. Despite job recoveries over the last few months, improvement in incomes were insignificant.

Economic inequality

While India maybe one of the fastest growing economies in the world, it is also one of the most vulnerable and severely afflicted economies in terms of economic inequality. The vast discrepancy between the rich and poor has been prominent since the last three decades. The rich continue to grow richer at a faster pace while the impoverished struggle more than ever before to earn a minimum wage. The widening gaps in the economic structure affect women and children the most. This is a call for reinforcement in in the country’s social structure that emphasizes access to quality education and universal healthcare services.

In 2022, the majority of Indian adults had a wealth of 10,000 U.S. dollars or less. On the other hand, about 0.1 percent were worth more than one million dollars that year. India The Republic of India is one of the world’s largest and most economically powerful states. India gained independence from Great Britain on August 15, 1947, after having been under their power for 200 years. With a population of about 1.4 billion people, it was the second most populous country in the world. Of that 1.4 billion, about 28.5 million lived in New Delhi, the capital. Wealth inequality India suffers from extreme income inequality. It is estimated that the top 10 percent of the population holds 77 percent of the national wealth. Billionaire fortune has increase sporadically in the last years whereas minimum wages have remain stunted.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Indian Trail: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 184(1.41%) households where the householder is under 25 years old, 4,951(37.86%) households with a householder aged between 25 and 44 years, 5,924(45.30%) households with a householder aged between 45 and 64 years, and 2,019(15.44%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the town of Indian Trail, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Indian Trail median household income by age. You can refer the same here

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).

Personal Savings in India increased to 26099.21 INR Billion in 2016 from 25429.60 INR Billion in 2015. This dataset provides - India Households Savings - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key information about India Household Debt: % of GDP

• India household debt accounted for 17.1 % of the country's Nominal GDP in Mar 2024, compared with the ratio of 14.9 % in the previous year.
• India household debt to GDP ratio is updated yearly, available from Mar 1998 to Mar 2024.
• The data reached an all-time high of 17.1 % in Mar 2024 and a record low of 2.2 % in Mar 1999.

CEIC calculates annual Household Debt as % of Nominal GDP from annual Household Debt and annual Nominal GDP. The Reserve Bank of India provides Household Debt in local currency. Ministry of Statistics and Programme Implementation provides Nominal GDP in local currency based on SNA 2008, at 2011-2012 prices. Loans are used due to the lack of Flow of Funds statistics. Household Debt includes Consumer Durables, Housing and Rest of Personal Loans. Household Debt as % of Nominal GDP is in annual frequency, ending in March of each year.


Related information about India Household Debt: % of GDP

• In the latest reports, India Household Debt reached 617.3 USD bn in Mar 2024.
• Money Supply M2 in India increased 7.9 % YoY in Nov 2024.
• India Foreign Exchange Reserves was measured at 547.5 USD bn in Dec 2024.
• The Foreign Exchange Reserves equaled 9.2 Months of Import in May 2023.
• India Domestic Credit reached 3,168.1 USD bn in Dec 2024, representing an increased of 11.1 % YoY.
• The country's Non Performing Loans Ratio stood at 2.8 % in Mar 2024, compared with the ratio of 3.9 % in the previous year.

The dataset contains corrected versions of the All India Debt and Investment Survey (AIDIS) corresponding to NSS 70th round (AIDIS 2012) and NSS 77th round (AIDIS 2018). All monetary values are in INR.

Populace: Demographic information examples include age, race, ethnicity, gender, marital status, income, education, and employment.

Town and Village Amenity: Amenity profile for Towns & Village includes medical facilities, educational facilities, Electrification Connections, Post, Telegraph and Telephone facilities and Income and Expenditure of the village

Household Profile: Household profile includes data like Census Houses (Residential, Vacant, Rented, Owned), Material of Roof, Wall, Floor, Household Amenity, and Household Assets

In the financial year 2021, the average annual expenditure of rich households in India was over 2 million Indian rupees, a stark contrast to destitute category which spent 83 thousand Indian rupees. A rich household spent almost 25 times that of a destiture household, eight times that of an aspirer household, and almost three times that of a middle-class household.

The Indian asset management industry is experiencing robust growth, driven by increasing household savings, a burgeoning middle class, and government initiatives promoting financial inclusion. The study period of 2019-2033 reveals a significant expansion, with a considerable Compound Annual Growth Rate (CAGR). While the exact market size for 2025 is not provided, considering the historical period (2019-2024) and a projected CAGR, a reasonable estimation places the 2025 market size at approximately ₹15 trillion (USD 180 billion). This substantial figure reflects the rising popularity of diverse investment vehicles, including mutual funds, alternative investments, and retirement plans. The forecast period (2025-2033) anticipates continued growth fueled by factors such as increasing digital adoption, the expansion of financial literacy programs, and the entry of new players into the market, further diversifying investment options. A key aspect driving growth is the increasing preference for professionally managed investments among individual investors, indicating a shift towards sophisticated wealth management strategies. The projected growth trajectory for the next decade suggests a considerable expansion of the asset management sector in India. The industry's evolution will be marked by increased competition, technological advancements enhancing operational efficiency and client experience, and a focus on catering to the needs of a diversifying investor base. Regulatory changes and improvements in market infrastructure will further propel the industry's growth. A more granular analysis would require data on specific asset classes, but overall, the outlook remains positive, indicating a substantial rise in the market value by 2033, surpassing the ₹15 trillion mark considerably. This projected growth makes the Indian asset management market a compelling investment opportunity and a significant contributor to the country's economic development. This insightful report provides a detailed analysis of the burgeoning Asset Management in India market, encompassing the period from 2019 to 2033. With a base year of 2025 and a forecast period spanning 2025-2033, this study offers invaluable insights into market dynamics, growth drivers, and future projections. The report leverages historical data (2019-2024) to provide a robust understanding of the market's evolution and future trajectory. Keywords: Indian Asset Management, Mutual Funds India, AMC India, Investment Management India, Alternative Investments India, Wealth Management India. Recent developments include: On December 24, 2021, HSBC Asset Management India signed a deal to buy L&T Investment Management (LTIM) from L&T Finance for USD 425 million. LTIM is a wholly-owned subsidiary of L&T Finance and the investment manager of the L&T Mutual Fund. The deal is part of the British lender's strategy to build its wealth and asset management presence in Asia., On January 28, 2021, Sundaram Asset Management Company (AMC) announced the acquisition of Principal Asset Management, the Indian business of the global financial services major, Principal Financial Group, for INR 33.8 billion (USD 409 million).. Notable trends are: Increase in Private Equity/Venture Capital Investment Activities is Driving the Market.

India GDCF: Gross Domestic Saving: Household: Financial Saving data was reported at 3,142,610.000 INR mn in 2004. This records an increase from the previous number of 2,544,390.000 INR mn for 2003. India GDCF: Gross Domestic Saving: Household: Financial Saving data is updated yearly, averaging 1,803,460.000 INR mn from Mar 1994 (Median) to 2004, with 11 observations. The data reached an all-time high of 3,142,610.000 INR mn in 2004 and a record low of 947,380.000 INR mn in 1994. India GDCF: Gross Domestic Saving: Household: Financial Saving data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under Global Database’s India – Table IN.AA017: NAS 1993-1994: Gross Domestic Product: by Expenditure and Income: Current Price.

The NABARD All India Rural Financial Inclusion Survey (NAFIS) provides data on the financial inclusion status of rural households in India. The data was collected in 2016-17 and includes information on bank account ownership, credit access, insurance coverage, financial literacy and household economic status. The NAFIS is a valuable resource for researchers, policy makers, and journalists who are interested in the financial inclusion status of rural households in India. The dataset can be used to track the progress of financial inclusion in rural India, to identify the challenges to financial inclusion, and to develop policies and programs to promote financial inclusion. This subset of the NAFIS dataset provides information on households in different states, including average monthly consumption expenditure, households reporting savings, average savings for saver households, incidence of indebtedness among households, households associated with microfinance institutions, average landholding size, average monthly household income, and average monthly agricultural household income.

In the financial year 2021, the average annual saving of rich households in India was over 606 thousand Indian rupees, a stark contrast to destitute category which saved only five thousand Indian rupees. The middle-class saved almost 130 thousand Indian rupees annually. During the year, a rich household spent almost 25 times that of a destitute household, eight times that of an aspirer household, and almost three times that of a middle-class household.

OVERVIEW This dataset contains data from a survey of low income households in four cities across south India. This fileset includes a guidance document on how the data was collected and how to interpret and use the data. The survey data was collected between April-June 2019. A team of 11 survey enumerators and researchers were involved in the data collection which was collected through a collaboration between the University of Cambridge and the Indian Institute for Human Settlements. Data collection for this project received ethical approval from both the Department of Engineering, University of Cambridge and Indian Institute for Human Settlements. This anonymised dataset is being released to allow full use by others.

DATASET CONTENTS This dataset contains the following files: - Indian_Low_Income_Household_Energy_Survey_Codebook.pdf - south_indian_household_energy_survey_19.csv - south_indian_household_energy_survey_19.Rda - README.txt Data contained in the csv files is the same as data contained in the Rda file.

HOW TO USE All csv files can be opened using any appropriate software. Rdata script files must be opened and run using R. We recommend using RStudio and R version 3.5.1 (“Feather Spray”) or later.

This survey followed the same methodology and as an earlier survey of low-income households in Bangalore, India. The dataset from this earlier survey can be found at: https://doi.org/10.17863/CAM.59870

This dataset was used as external validation dataset for a microsimulation of cooking fuel use in India cities. Code for the microsimulation model can be found in the following GitHub repository: github.com/anetobradley/urban_energy_microsimulation_india

A: Results of differences in mean z-scores of nutritional indicators of Bengali children between Bangladesh and India. B: Results of differences in the proportions of undernutrition between under-five Bengali children in India and Bangladesh.

Japan Annual Household Income(AHI): India: < 5,000,000 data was reported at 11.000 Person in Jun 2018. This records an increase from the previous number of 4.000 Person for Mar 2018. Japan Annual Household Income(AHI): India: < 5,000,000 data is updated quarterly, averaging 4.000 Person from Mar 2015 (Median) to Jun 2018, with 14 observations. The data reached an all-time high of 11.000 Person in Jun 2018 and a record low of 2.000 Person in Sep 2017. Japan Annual Household Income(AHI): India: < 5,000,000 data remains active status in CEIC and is reported by Ministry of Land, Infrastructure, Transport and Tourism. The data is categorized under Global Database’s Japan – Table JP.Q024: Tourism and Leisure: Characteristics of Visitors and Trips: Annual Household Income of Foreign Visitors.