In 2024, the average monthly salary was 36.7 thousand Indian rupees in Mumbai city of India. The average monthly salary in the capital city of Delhi was around 36.6 thousand Indian rupees. In comparison, the average monthly salary was over 28 thousand Indian rupees in Madurai during the same year.

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.

India’s per capita net national income or NNI was around 200 thousand rupees in financial year 2025. The annual growth rate was 8.6 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.

About this dataset

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.

Content

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).

• Indian Village, IN Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Indian Village, IN: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Indian Village, IN
• Indian Village, IN households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Indian Village median household income. You can refer the same here

About this dataset

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">

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Indian Village.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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 Village median household income by race. You can refer the same here

The estimated per capita income across Sikkim was the highest among Indian states at around 588 thousand Indian rupees in the financial year 2024. Meanwhile, it was the lowest in the northern state of Bihar at over 60 thousand rupees. India’s youngest state, Telangana stood in the fifth place. The country's average per capita income that year was an estimated 184 thousand rupees. What is per capita income? Per capita income is a measure of the average income earned per person in a given area in a certain period. It is calculated by dividing the area's total income by its total population. If absolute numbers are noted, India’s per capita income doubled from the financial year 2015 to 2023. Wealth inequality However, as per economists, the increase in the per capita income of a country does not always reflect an increase in the income of the entire population. Wealth distribution in India remains highly skewed. The average income hides the disbursal and inequality in a society. Especially in a society like India where the top one percent owned over 40 percent of the total wealth in 2022.

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

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Delhi. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Delhi, the median household income for the households where the householder is White increased by $19,507(31.89%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $61,176 in 2011 and $80,683 in 2021.
• Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2011 and 2021.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/delhi-ia-median-household-income-by-race-trends.jpeg" alt="Delhi, IA median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Delhi.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-inflation-adjusted dollars.

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 Delhi median household income by race. You can refer the same here

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.

As of 2024, employees with doctorate degrees earned an average annual salary of 2.75 million Indian rupees, the highest among other educational qualifications. Employees with high school or below high school level degree earned average salaries of just over a million rupees in a year.

The Gross Domestic Product per capita in India was last recorded at 9160.06 US dollars in 2023, when adjusted by purchasing power parity (PPP). The GDP per Capita, in India, when adjusted by Purchasing Power Parity is equivalent to 52 percent of the world's average. This dataset provides - India GDP per capita PPP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

NSDP Per Capita: Punjab data was reported at 196,504.719 INR in 2024. This records an increase from the previous number of 181,678.286 INR for 2023. NSDP Per Capita: Punjab data is updated yearly, averaging 139,834.638 INR from Mar 2012 (Median) to 2024, with 13 observations. The data reached an all-time high of 196,504.719 INR in 2024 and a record low of 85,576.648 INR in 2012. NSDP Per Capita: Punjab data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under Global Database’s India – Table IN.GEI004: Memo Items: State Economy: Net State Domestic Product per Capita.

India PFS: RBI: Gross Saving as % of National Disposable Income: Next Fiscal Year: Maximum data was reported at 31.000 % in Mar 2019. This records an increase from the previous number of 30.800 % for Dec 2018. India PFS: RBI: Gross Saving as % of National Disposable Income: Next Fiscal Year: Maximum data is updated quarterly, averaging 32.500 % from Mar 2015 (Median) to Mar 2019, with 17 observations. The data reached an all-time high of 35.200 % in Mar 2017 and a record low of 30.800 % in Dec 2018. India PFS: RBI: Gross Saving as % of National Disposable Income: Next Fiscal Year: Maximum data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Business and Economic Survey – Table IN.SE005: Professional Forecasters Survey (PFS): Reserve Bank of India: Annual Forecasts: Gross Saving as % of Gross National Disposable Income.

India All States: Revenue Receipts: Tax: State: Income data was reported at 54,983.600 INR mn in 2019. This records a decrease from the previous number of 55,970.600 INR mn for 2018. India All States: Revenue Receipts: Tax: State: Income data is updated yearly, averaging 25,631.800 INR mn from Mar 1991 (Median) to 2019, with 29 observations. The data reached an all-time high of 57,032.000 INR mn in 2017 and a record low of 6,022.900 INR mn in 1993. India All States: Revenue Receipts: Tax: State: Income data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Government and Public Finance – Table IN.FF001: Revenue Receipts: All States.

The average salary for male employees in urban area was the highest during the months of April to June 2020 at about 21 thousand Indian rupees. The average salary drawn by female workers was the highest in the months of April to June 2020, however, lesser compared to their male counterparts. Unsurprisingly, the urban earnings in terms of wages and salaries are always higher than rural employees. Urban versus rural employment The gender gap in salaries was more prominent in rural areas, where, the male workers earned nearly an average of 1.5 times more. However, urban employees just earn a few thousands more than their rural counterpart, while, the cost of living in cities is twice as expensive as villages. Moreover, a majority of the Indian households belonged to the middle-income bracket and this is expected to increase in the future. Wage disparity Wage inequalities are present in almost every sector and widens with higher skill levels. With the evident gender disparity in the country, women with lower educational qualifications, such as a high school diplomas continue working despite the pay gap. This is among women who primarily come from the lower economic sector. Moreover, the social mobility index for fair wage distribution was 17.8 as of 2020, indicating a need for improvement.

IN: Gross National Income: USD data was reported at 3,497.820 USD bn in 2023. This records an increase from the previous number of 3,307.390 USD bn for 2022. IN: Gross National Income: USD data is updated yearly, averaging 400.763 USD bn from Dec 1970 (Median) to 2023, with 54 observations. The data reached an all-time high of 3,497.820 USD bn in 2023 and a record low of 62.044 USD bn in 1970. IN: Gross National Income: 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.IDS: Gross Domestic Product: Annual. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars.

According to a survey conducted in 2015 across India, over 60 percent of the surveyed households had an average monthly income up to 10,000 Indian rupees. This percentage varied among the rural and urban areas, where over 75 percent of the rural households and 45 percent of the urban households earned up to 10,000 Indian rupees monthly. India had a high rate of rural to urban migration, as Indian cities provided better standards of living and employment opportunities.

Multiple income generators

For most of the population, income is earned in form of wages or salary, rent from residential or commercial property, interest from financial investments, and profits from family businesses. Most Indian households have multiple earning members to support consumption expenses on a day to day basis. During the surveyed year, around 48 percent of the households had a single earner, mostly the head of the family, followed by about 30 percent of households with two earning members.

Employment scenario

There are a lot of uncertainties in the job market in India. Non-availability of jobs matching education and skills was one of the main reasons for unemployment among Indian graduates. Underemployment was also a problem, and it was higher in urban areas than rural ones. Even though a majority of the population was self-employed, most jobs taken by workers had no written job contracts in both the salaried and casual employment sectors.

NSDP Per Capita: Delhi data was reported at 240,849.000 INR in 2015. This records an increase from the previous number of 212,219.000 INR for 2014. NSDP Per Capita: Delhi data is updated yearly, averaging 35,208.000 INR from Mar 1981 (Median) to 2015, with 35 observations. The data reached an all-time high of 240,849.000 INR in 2015 and a record low of 5,373.000 INR in 1981. NSDP Per Capita: Delhi data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under Global Database’s India – Table IN.AO002: Net State Domestic Product per Capita. Rebased from 2004-2005 base to 2011-2012 base. Replacement series ID: 374619567

This statistic represents the forecast for number of rural households across India from 2018 to 2022, based on income. About 131 million households were projected to have an annual income of five to ten thousand U.S. dollars by 2022, up from 92 million households in 2019.

Japan AHI: India: 10,000,000~19,999,999 data was reported at 1.000 Person in Mar 2018. This records an increase from the previous number of 0.000 Person for Dec 2017. Japan AHI: India: 10,000,000~19,999,999 data is updated quarterly, averaging 1.000 Person from Mar 2015 (Median) to Mar 2018, with 13 observations. The data reached an all-time high of 2.000 Person in Dec 2016 and a record low of 0.000 Person in Dec 2017. Japan AHI: India: 10,000,000~19,999,999 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.