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.

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 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.

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

In the financial year 2021, the number of super-rich households earning more than 20 million Indian rupees went up to 1.81 million from 1.06 million in the financial year 2016. This was an annual growth of 11.3 percent. The number is expected to grow to over nine million in the financial year 2031 and 32 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 125 thousand annually decreased only marginally to 45.17 million in financial year 2021 from 46.5 million in 2016. However, it is estimated that the number of destitute households will fall to just 7.2 million by the financial year 2047.

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).

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.

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.

In the 3 years to March 2021, black households were most likely out of all ethnic groups to have a weekly income of under £600.

31 percent of white-collar gig workers in India earned between 600 thousand to one million Indian rupees per annum in 2023. Around 12 percent earned under 300 thousand rupees. Gig work is being increasingly chosen by IT professionals for flexibility, work-life balance, and higher salaries.

India ASI: Wages per Manday Worked: All Employees: Electric Power Generation, Transmission and Distribution data was reported at 862.270 INR in 2013. This records an increase from the previous number of 686.180 INR for 2012. India ASI: Wages per Manday Worked: All Employees: Electric Power Generation, Transmission and Distribution data is updated yearly, averaging 588.940 INR from Mar 2009 (Median) to 2013, with 5 observations. The data reached an all-time high of 862.270 INR in 2013 and a record low of 404.440 INR in 2009. India ASI: Wages per Manday Worked: All Employees: Electric Power Generation, Transmission and Distribution data remains active status in CEIC and is reported by Labour Bureau Government of India. The data is categorized under India Premium Database’s Labour Market – Table IN.GBB047: Annual Survey of Industries: Wages per Manday Worked: All Employees: by Industries: NIC 2008.

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.

The salary increases are expected to decline across most sectors in 2024. The e-commerce industry offers the highest increase in salaries in India at 10.9 percent. It is followed by the financial services sector which has consistently been the highest salary payer. Salary hikes in the sector are expected to be 9.6 percent down from over 10.4 percent in 2022.

Minimum Daily Wage Rate: Andhra Pradesh: Electronic, Electric Industry, Sale and Distribution data was reported at 287.680 INR in 2019. This stayed constant from the previous number of 287.680 INR for 2018. Minimum Daily Wage Rate: Andhra Pradesh: Electronic, Electric Industry, Sale and Distribution data is updated yearly, averaging 281.260 INR from Dec 2010 (Median) to 2019, with 10 observations. The data reached an all-time high of 287.680 INR in 2019 and a record low of 202.000 INR in 2010. Minimum Daily Wage Rate: Andhra Pradesh: Electronic, Electric Industry, Sale and Distribution data remains active status in CEIC and is reported by Labour Bureau. The data is categorized under India Premium Database’s Labour Market – Table IN.GBE004: Minimum Daily Wage Rate: Minimum Wages Act, 1948: Andhra Pradesh.

Minimum Daily Wage Rate: Range: Uttarakhand: Minimum data was reported at 217.690 INR in 2019. This stayed constant from the previous number of 217.690 INR for 2018. Minimum Daily Wage Rate: Range: Uttarakhand: Minimum data is updated yearly, averaging 147.925 INR from Dec 2008 (Median) to 2019, with 12 observations. The data reached an all-time high of 217.690 INR in 2019 and a record low of 77.310 INR in 2008. Minimum Daily Wage Rate: Range: Uttarakhand: Minimum data remains active status in CEIC and is reported by Labour Bureau. The data is categorized under India Premium Database’s Labour Market – Table IN.GBE001: Minimum Daily Wage Rate: Minimum Wages Act, 1948.

Wages in China increased to 120698 CNY/Year in 2023 from 114029 CNY/Year in 2022. This dataset provides - China Average Yearly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

India ASI: Wages per Manday Worked: All Workers: Manufacturing: Electric Motors, Generators, Transformers and Electricity Distribution and Control Apparatus data was reported at 612.250 INR in 2013. This records an increase from the previous number of 534.690 INR for 2012. India ASI: Wages per Manday Worked: All Workers: Manufacturing: Electric Motors, Generators, Transformers and Electricity Distribution and Control Apparatus data is updated yearly, averaging 432.710 INR from Mar 2009 (Median) to 2013, with 5 observations. The data reached an all-time high of 612.250 INR in 2013 and a record low of 293.010 INR in 2009. India ASI: Wages per Manday Worked: All Workers: Manufacturing: Electric Motors, Generators, Transformers and Electricity Distribution and Control Apparatus data remains active status in CEIC and is reported by Labour Bureau Government of India. The data is categorized under India Premium Database’s Labour Market – Table IN.GBB050: Annual Survey of Industries: Wages per Manday Worked: All Workers: by Industries: NIC 2008.

According to the survey conducted on work life aspects of young Indians in 2020, over 35 percent of millennials earning more than 100 thousand Indian rupees per month expected their income to rise by more than 75 percent. Furthermore, only ten percent of respondents earning the same income expected their salary to increase by 25 percent.