As of 2024, employees with doctorate degrees earned an average annual salary of **** 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 ********* rupees in a year.

Wages in India increased to 21103 INR/Month in the second quarter of 2024 from 21036 INR/Month in the first quarter of 2024. This dataset provides the latest reported value for - India Average Daily Real Wage Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The average wage earning for male casual laborer in rural area in India was *** Indian rupees per day. Female laborers received lesser wages than male laborers amounting to *** rupees per day.

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

Data and insights on earnings & Wages in India - minimum wage, hours worked, employee benefits, and more.

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 *** 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.

About this dataset

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.

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">

Content

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:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2022
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Beach median household income by gender. You can refer the same here

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.

As of January 2024, the state of Uttar Pradesh in India has the highest average monthly salary of about ** thousand Indian rupees. In contrast, Lakshadweep has the lowest average monthly salary of ***** thousand rupees during the same year.

Key information about Russia Household Income per Capita

• Russia Annual Household Income per Capita reached 8,179.123 USD in Dec 2024, compared with the previous value of 7,549.747 USD in Dec 2023.
• Russia Annual Household Income per Capita data is updated yearly, available from Dec 1992 to Dec 2024, with an averaged value of 5,882.623 USD.
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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.

India PFS: RBI: Gross Saving as % of National Disposable Income: Next Fiscal Year: Mean data was reported at 30.100 % in Mar 2019. This records an increase from the previous number of 29.800 % for Dec 2018. India PFS: RBI: Gross Saving as % of National Disposable Income: Next Fiscal Year: Mean data is updated quarterly, averaging 30.900 % from Mar 2015 (Median) to Mar 2019, with 17 observations. The data reached an all-time high of 32.000 % in Dec 2016 and a record low of 29.800 % in Dec 2018. India PFS: RBI: Gross Saving as % of National Disposable Income: Next Fiscal Year: Mean 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.

Explore the progression of average salaries for graduates in Computer Engineering India Diploma from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Computer Engineering India Diploma relative to other fields. This data is essential for students assessing the return on investment of their education in Computer Engineering India Diploma, providing a clear picture of financial prospects post-graduation.

Explore the progression of average salaries for graduates in Computer Engineering-Based On Bs From India from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Computer Engineering-Based On Bs From India relative to other fields. This data is essential for students assessing the return on investment of their education in Computer Engineering-Based On Bs From India, providing a clear picture of financial prospects post-graduation.

ASI: Wages per Manday Worked: All Workers: All India data was reported at 363.760 INR in 2013. This records an increase from the previous number of 313.000 INR for 2012. ASI: Wages per Manday Worked: All Workers: All India data is updated yearly, averaging 180.270 INR from Mar 2000 (Median) to 2013, with 14 observations. The data reached an all-time high of 363.760 INR in 2013 and a record low of 138.090 INR in 2000. ASI: Wages per Manday Worked: All Workers: All India 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.GBB049: Annual Survey of Industries: Wages per Manday Worked: All Workers: by States.

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.

Explore the progression of average salaries for graduates in Computer Science (Edge Eval) (Ms Cs In India) from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Computer Science (Edge Eval) (Ms Cs In India) relative to other fields. This data is essential for students assessing the return on investment of their education in Computer Science (Edge Eval) (Ms Cs In India), providing a clear picture of financial prospects post-graduation.

The statistic displays the average yearly salaries of selected jobs across India in 2015-2016. In that period, a senior manager working in digital marketing earned on average two million Indian rupees.

The highest paid female chief financial officers (CFOs) worldwide in 2014 can be found here.

Explore the progression of average salaries for graduates in Computer Apps. (Also Has Bach. In Commerce From Sri Krishnadevaraya Univ., India) from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Computer Apps. (Also Has Bach. In Commerce From Sri Krishnadevaraya Univ., India) relative to other fields. This data is essential for students assessing the return on investment of their education in Computer Apps. (Also Has Bach. In Commerce From Sri Krishnadevaraya Univ., India), providing a clear picture of financial prospects post-graduation.