In the financial year 2021, a majority of Indian households fell under the aspirers category, earning between ******* and ******* Indian rupees a year. On the other hand, about ***** percent of households that same year, accounted for the rich, earning over * million rupees annually. The middle class more than doubled that year compared to ** 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 ***** 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 the financial year 2023, electoral bonds constituted over ** percent of unknown sources of income of political parties followed by other sources like voluntary contributions and the sale of coupons. In total, over ** percent of the income of national political parties in India came from unknown sources. Unknown income is declared in the annual audit report but without giving a source of income for donations below ****** Indian rupees.
What are electoral bonds?
Electoral bonds were introduced as part of the Finance Bill 2017 as a measure to curb the influence of black money in Indian elections. Electoral bonds are interest-free banking instruments that a citizen of India or a body incorporated in India is eligible to purchase. It is used for making donations to any eligible political party in India. The bonds are available at certain branches of the State Bank of India and a donor with a KYC-compliant account can purchase the bond. Neither the bond purchaser nor the political party must disclose the donor's identity. Only registered political parties that secured at least *** percent of votes in the general or state elections are eligible to receive donations through electoral bonds.
Implications of electoral bonds
The proponents of electoral bonds argue that they promote transparency by ensuring that political parties receive funding through legitimate banking channels. However, multiple petitions have been filed against electoral bonds, criticizing the provision of anonymity of the donors and the possibility of misuse of the bonds using shell companies. With the removal of the cap on corporate donations to political parties, unaccounted and unlimited amounts of money can be transferred to political parties.
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Context
The dataset tabulates the median household income in Indian Village. It can be utilized to understand the trend in median household income and to analyze the income distribution in Indian Village by household type, size, and across various income brackets.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
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.
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Indian Village median household income. You can refer the same here
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Net primary income (Net income from abroad) (current US$) in India was reported at --56533064977 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Net income from abroad - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Taxes on income, profits and capital gains (% of revenue) in India was reported at 34.83 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Taxes on income, profits and capital gains (% of revenue) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Income share held by highest 20% in India was reported at 36.1 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Income share held by highest 20% - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
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Context
The dataset presents the median household income across different racial categories in Indian Village. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.
Key observations
Based on our analysis of the distribution of Indian Village population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 60% of the total residents in Indian Village. Notably, the median household income for White households is $59,450. Interestingly, despite the White population being the most populous, it is worth noting that Black or African American households actually reports the highest median household income, with a median income of $101,336. This reveals that, while Whites may be the most numerous in Indian Village, Black or African American households experience greater economic prosperity in terms of median household income.
https://i.neilsberg.com/ch/indian-village-in-median-household-income-by-race.jpeg" alt="Indian Village median household income diversity across racial categories">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Indian Village median household income by race. You can refer the same here
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Context
The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Indian Beach. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.
Key observations: Insights from 2021
Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Indian Beach, the median income for all workers aged 15 years and older, regardless of work hours, was $54,046 for males and $24,321 for females.
These income figures highlight a substantial gender-based income gap in Indian Beach. Women, regardless of work hours, earn 45 cents for each dollar earned by men. This significant gender pay gap, approximately 55%, underscores concerning gender-based income inequality in the town of Indian Beach.
- Full-time workers, aged 15 years and older: In Indian Beach, for full-time, year-round workers aged 15 years and older, the Census Bureau did not report the median income for both males and females due to an insufficient number of sample observations.As income data for both males and females was unavailable, conducting a comprehensive analysis of gender-based pay disparity in the town of Indian Beach was not possible.
https://i.neilsberg.com/ch/indian-beach-nc-income-by-gender.jpeg" alt="Indian Beach, NC gender based income disparity">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.
Gender classifications include:
Employment type classifications include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Indian Beach median household income by gender. You can refer the same here
In the financial year 2021, the number of super-rich households earning more than ** million Indian rupees went up to **** million from **** million in the financial year 2016. This was an annual growth of **** percent. The number is expected to grow to over **** million in the financial year 2031 and ** million households in the financial year 2047. This will be the fastest growth across all income categories. On the other hand, destitute classified Indian households with earnings of less than *** thousand annually decreased only marginally to ***** million in financial year 2021 from **** million in 2016. However, it is estimated that the number of destitute households will fall to just *** million by the financial year 2047.
According to a survey carried out in 2021 in India, approximately 30 percent of elderly people received some form of monthly government pension as their primary source of income to support themselves through old age. By contrast, around 17 percent of elderly people had absolutely no form of income and were dependent on others in the family to support them.
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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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Income brackets:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Indian Trail median household income by age. You can refer the same here
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Taxes on income, profits and capital gains (% of total taxes) in India was reported at 47.15 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Taxes on income, profits and capital gains (% of total taxes) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
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This dataset contains the tax collections by type of tax paid in India. It includes corporate tax and personal income tax ( includes security transaction tax )
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Adjusted net national income per capita (current US$) in India was reported at 1907 USD in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Adjusted net national income per capita - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
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Key information about India Tax revenue: % of GDP
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Net primary income (BoP, current US$) in India was reported at --52101901142 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Net income (BoP, current US$) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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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.
Comprehensive dataset of 4,052 Income tax help associations in India as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
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1) Data Introduction • The TaxTruth: Tax Perception Dataset from India Dataset is an original collection of information from 250 Indian citizens, including their monthly income, taxes paid, occupation type, government benefits, GST usage behavior, billionaire taxation awareness, presence of surrounding billionaires, and emotional response to the tax system.
2) Data Utilization (1) TaxTruth: Tax Perception Dataset from India Dataset has characteristics that: • The dataset includes numerical data (monthly income, tax payments), categorical data (occupation, government benefits, use of GST, etc.), and emotional and cognitive responses such as "feel exploited by the tax system." • It is designed to analyze citizens' tax perceptions and emotional responses together as well as economic indicators. (2) TaxTruth: Tax Perception Dataset from India Dataset can be used to: • Public Policy Analysis: The direction of policy improvement can be derived by analyzing the correlation between citizens' emotional response to the tax system, the actual tax burden, and whether they
India’s per capita net national income or NNI was around *** thousand rupees in financial year 2025. The annual growth rate was *** percent as compared to the previous year. National income indicators While GNI (Gross National Income) and NNI are both indicators for a country’s economic performance and welfare, the GNI is related to the GDP plus the net receipts from abroad, including wages and salaries, property income, net taxes and subsidies receivable from abroad. On the other hand, the NNI of a country is equal to its GNI net of depreciation. In 2020, India ranked second amongst the Asia Pacific countries in terms of its gross national income. This has been possible due to a favorable GDP growth in India. Measuring wealth versus welfare National income per person or per capita is often used as an indicator of people's standard of living and welfare. However, critics object to this by citing that since it is a mean value, it does not reflect the real income distribution. In other words, a small wealthy class of people in the country can skew the per capita income substantially, even though the average population has no change in income. This is exemplified by the fact that in India, the top one percent of people, control over 40 percent of the country’s wealth.
In the financial year 2021, a majority of Indian households fell under the aspirers category, earning between ******* and ******* Indian rupees a year. On the other hand, about ***** percent of households that same year, accounted for the rich, earning over * million rupees annually. The middle class more than doubled that year compared to ** 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 ***** 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.