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’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 2022, the majority of Indian adults had a wealth of 10,000 U.S. dollars or less. On the other hand, about *** percent were worth more than *********** 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 *** billion people, it was the second most populous country in the world. Of that *** billion, about **** 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 ** percent of the national wealth. Billionaire fortune has increase sporadically in the last years whereas minimum wages have remain stunted.

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

The estimated per capita income across Sikkim was the highest among Indian states at around *** thousand Indian rupees in the financial year 2024. Meanwhile, it was the lowest in the northern state of Bihar at over ** thousand rupees. India’s youngest state, Telangana stood in the fifth place. The country's average per capita income that year was an estimated *** 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 ** percent of the total wealth in 2022.

The Personal Income Tax Rate in India stands at 39 percent. This dataset provides - India Personal Income Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

As of 2022, the top 10 percent Indian population group in terms of pre-tax income was estimated to hold **** percent of total income in India, whereas the bottom 50 percent group only made up just ** percent of total income. This reflected an even greater income gap compared to 2000.

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.

Disposable Personal Income in India increased to 296383300 INR Million in 2023 from 273364818.90 INR Million in 2022. This dataset provides - India Total Disposable Personal Income - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

In India, the share of the population that earned at least the equivalent of the highest ** percent of global income earners as of 2022 in purchasing power parity (PPP) terms was ** percent. Hyderabad topped the list with the highest share of middle-class and above category of consumers. Cities from south India topped the list with the first four ranks, followed by the national capital, Delhi.

The Gross Domestic Product per capita in India was last recorded at 2396.71 US dollars in 2024. The GDP per Capita in India is equivalent to 19 percent of the world's average. This dataset provides - India GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key information about India Gross Savings Rate

• India Gross Savings Rate was measured at 30.7% in Mar 2024, compared with 30.7% in the previous year.
• India Gross Savings Rate is updated yearly, with data available from Mar 1951 to Mar 2024, and an average rate of 30.7%.
• The data reached an all-time high of 30.7% in Mar 2008 and a record low of 7.9% in Mar 1954.
• *This indicator will be no longer available from March 2026, 4th onwards. CEIC has a plan to remove the non-standard frequency indicator after the standard frequency indicator has been added and be available on this table. CEIC calculates Gross Domestic Savings Rate from annual Gross Domestic Savings and annual Nominal GDP. Ministry of Statistics and Programme Implementation provides Gross Domestic Savings in local currency and Nominal GDP in local currency based on SNA 2008, at 2011-2012 prices. Gross Domestic Savings Rate is annual frequency, ending in March of each year.
• In the latest reports, India GDP expanded 8.2% YoY in Sep 2025.
• India Nominal GDP reached 975,920.9 USD mn in Sep 2025. Its GDP deflator (implicit price deflator) increased 0.5% in Sep 2025.
• India GDP Per Capita reached 2,777.6 USD in Mar 2025.

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Households in the Indian and White Other ethnic groups received the highest percentage of their income from employment out of all ethnic groups.

Top Indian Stocks: Financial Metrics Dataset This dataset offers a comprehensive view of key financial indicators for the top-performing stocks in India. With insights into valuation, profitability, and performance, this dataset is a perfect tool for investors, analysts, and data enthusiasts to explore stock market trends.

📊 Columns Overview 1. S.No. 🔹 Description: The serial number for each stock. 💡 Use: Index for easy row reference, not a financial indicator. 2. Name 🔹 Description: The stock's name or ticker symbol. 💡 Use: Identifies each company for further analysis. 3. CMP (Current Market Price) Rs. 💰 Description: The latest trading price of the stock in Indian Rupees (₹). 💡 Use: Critical for assessing the current market valuation of the stock.

1. P/E (Price-to-Earnings Ratio) 📈 Description: Ratio of the company’s stock price to its earnings per share. 💡 Use: A key indicator to determine if a stock is over- or under-valued.

2. MarCap (Market Capitalization) Rs.Cr. 🏢 Description: The company’s total market value, in crores of Indian Rupees. 💡 Use: Helps categorize companies as large-cap, mid-cap, or small-cap.

3. DivYld (Dividend Yield) % 💸 Description: The dividend income as a percentage of the stock price. 💡 Use: Useful for investors seeking steady income through dividends.

4. NPQtr (Net Profit for the Quarter) Rs.Cr. 📊 Description: The company’s net profit for the latest quarter in crores. 💡 Use: A measure of recent profitability and financial health.

5. QtrProfitVar (Quarterly Profit Variation) % 📉 Description: Percentage change in profit from the previous quarter. 💡 Use: Helps evaluate the company’s growth or decline in profitability.

6. SalesQtr (Quarterly Sales) Rs.Cr. 💼 Description: Total revenue generated by the company during the quarter. 💡 Use: Useful to gauge the business's short-term performance.

7. QtrSalesVar (Quarterly Sales Variation) % 📊 Description: Percentage change in sales compared to the previous quarter. 💡 Use: Highlights revenue growth or contraction over time.

8. ROCE (Return on Capital Employed) % ⚙️ Description: Measures the company’s profitability relative to the capital used. 💡 Use: A higher ROCE shows better efficiency in using capital for profits.

9. PATAnn (Profit After Tax for the Year) Rs.Cr. 📅 Description: Net profit after taxes for the entire year. 💡 Use: Key to understanding long-term profitability and financial performance. Why Use This Dataset? With a variety of financial metrics covering stock performance, this dataset is perfect for:

📅 Time-Series Analysis: Forecast stock price movements using historical data. 🔍 Investment Research: Analyze market trends and evaluate stock performance. 🤖 Algorithmic Trading: Develop machine learning models to create automated trading strategies. 📈 Financial Forecasting: Build predictive models to anticipate stock prices and market shifts. This dataset offers rich financial insights and is a must-have for anyone looking to dive deep into India’s stock market landscape. Explore trends, develop predictive models, and take your financial analytics to the next level! 🔥📊

Please find my Tableau viz for this dataset here: https://public.tableau.com/app/profile/jamie.collins5558/viz/CentralBankReserves/Dashboard1 Feel free to copy, or use as a template/inspiration for your own visualisations.

This dataset provides a comprehensive snapshot of central bank reserves, including foreign exchange (FX) reserves, total reserves, and gold holdings, for 165 countries. It includes detailed metrics such as gold reserves in tonnes and millions (USD), the percentage of total reserves held in gold, and the 20-year change in gold holdings. The dataset also categorises countries by region and economic grouping (e.g., high income, upper middle income, lower middle income, low income), offering a valuable resource for analysing global financial trends, reserve management strategies, and the role of gold in national economies.

• Country: The name of the country (e.g., Afghanistan, United States of America).
• Region: The geographical region of the country (e.g., Central Asia, Western Europe, Latin America & Caribbean).
• Economic grouping: The World Bank income classification of the country (e.g., High income, Upper middle income, - - -- Lower middle income, Low income).
• FX Reserves: Foreign exchange reserves in millions of USD (e.g., 68448.33 for Algeria). Some values are marked as "AWAITED" where data is unavailable.
• Total Reserves: Total reserves (including FX and gold) in millions of USD (e.g., 83007.11 for Algeria). Some values are marked as "AWAITED."
• Gold Reserves Tonnes: Gold reserves held by the central bank in metric tonnes (e.g., 173.56 for Algeria). Some values are marked as "AWAITED."
• Gold Reserves Millions: The value of gold reserves in millions of USD (e.g., 14558.78 for Algeria). Some values are marked as "AWAITED."
• Holdings %: The percentage of total reserves held in gold (e.g., 17.54 for Algeria). Some values are marked as "AWAITED."
• 20yr change: The change in gold holdings (in tonnes) over the past 20 years (e.g., -0.09 for Algeria). Positive values indicate an increase, while negative values indicate a decrease.

Key Statistics Countries Covered: 165 - Regions Represented: Includes Central Asia, Western Europe, Latin America & Caribbean, Middle East & North Africa, Sub-Saharan Africa, South East Asia, East Asia, South Asia, Australasia / Oceania, and North America. - Economic Groupings: High income (e.g., United States, Japan), Upper middle income (e.g., Brazil, China), Lower middle income (e.g., India, Egypt), and Low income (e.g., Afghanistan, Haiti). - Largest Gold Reserves: The United States holds the largest gold reserves at 8,133.46 tonnes, valued at $682,276.85 million, accounting for 74.97% of its total reserves. - Highest Gold Holdings %: Bolivia has the highest percentage of reserves in gold at 95.59%, despite holding only 22.53 tonnes. - Largest 20-Year Increase in Gold: The Russian Federation increased its gold holdings by 1,945.79 tonnes over 20 years, followed by China with a 1,684.55-tonne increase. Potential Use Cases

This dataset is ideal for a variety of analytical and research purposes, including:

• Economic Analysis: Investigate the relationship between a country’s economic grouping and its reserve composition, particularly the reliance on gold versus foreign exchange.
• Financial Stability Studies: Analyse how countries with higher gold holdings percentages (e.g., Bolivia, Uzbekistan) manage financial stability compared to those with lower percentages (e.g., Chile, South Korea).
• Historical Trends: Use the 20-year change in gold holdings to study trends in reserve management strategies, such as China and Russia’s significant increases in gold reserves.
• Geopolitical Insights: Explore how regions like Central Asia (e.g., Kazakhstan, Uzbekistan) or Middle East & North Africa (e.g., Qatar, Saudi Arabia) differ in their reserve strategies, potentially reflecting geopolitical priorities.
• Data Visualisation: Create maps, bar charts, or scatter plots to visualise global gold reserves, regional differences, or the correlation between income levels and gold holdings. Notes for Users
• Missing Data: Some countries have "AWAITED" in place of numerical values for FX reserves, total reserves, gold reserves, and holdings percentages. Users may need to handle these missing values (e.g., by excluding them, imputing values, or sourcing additional data).
• Gold Valuation: The "Gold Reserves Millions" column reflects the value of gold reserves in USD, based on the gold price as of 2024. Users should note that gold prices fluctuate, and historical comparisons may require adjustment for price changes.
• 20-Year Change: The "20yr change" column provides the change in gold holdings in tonnes from 2005 to 2025. Negative values indicate a reduction in gold reserves (e.g., Switzerland reduced by 314.35 tonnes), while positive values indicate an increase (e.g., India increased by 521.31 tonnes).

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.

Description:

Explore the dynamic landscape of the Indian stock market with this extensive dataset featuring 4456 companies listed on both the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE). Gain insights into each company's financial performance, quarterly and yearly profit and loss statements, balance sheets, cash flow data, and essential financial ratios. Dive deep into the intricacies of shareholding patterns, tracking the movements of promoters, foreign and domestic institutional investors, and the public.

This dataset is a rich resource for financial analysts, investors, and data enthusiasts. Perform thorough company evaluations, sector-wise comparisons, and predictive modeling. With figures presented in crore rupees, leverage the dataset for in-depth exploratory data analysis, time series forecasting, and machine learning applications. Stay tuned for updates as we enrich this dataset for a deeper understanding of the Indian stock market landscape. Unlock the potential of data-driven decision-making with this comprehensive repository of financial information.

Folder Structure:

• 4492 NSE & BSE Companies
  • Main directory containing data for 4456 NSE and BSE registered companies.
  • Company_name folder
    • Individual folders for each company allowing for easy organization and retrieval.
    • Company_name.csv
      • General company information.
    • Quarterly_Profit_Loss.csv
      • Quarterly financial data.
    • Yearly_Profit_Loss.csv
      • Annual financial data.
    • Yearly_Balance_Sheet.csv
      • Annual balance sheet information.
    • Yearly_Cash_flow.csv
      • Annual cash flow data.
    • Ratios.csv.csv
      • Financial ratios over time.
    • Quarterly_Shareholding_Pattern.csv
      • Quarterly shareholding pattern.
    • Yearly_Shareholding_Pattern.csv
      • Annual shareholding pattern.

File Explanation:

Company_name.csv

- `Company_name`: Name of the company.
- `Sector`: Industry sector of the company.
- `BSE`: Bombay Stock Exchange code.
- `NSE`: National Stock Exchange code.
- `Market Cap`: Market capitalization of the company.
- `Current Price`: Current stock price.
- `High/Low`: Highest and lowest stock prices.
- `Stock P/E`: Price to earnings ratio.
- `Book Value`: Book value per share.
- `Dividend Yield`: Dividend yield percentage.
- `ROCE`: Return on capital employed percentage.
- `ROE`: Return on equity percentage.
- `Face Value`: Face value of the stock.
- `Price to Sales`: Price to sales ratio.
- `Sales growth (1, 3, 5, 7, 10 years)`: Sales growth percentage over different time periods.
- `Profit growth (1, 3, 5, 7, 10 years)`: Profit growth percentage over different time periods.
- `EPS`: Earnings per share.
- `EPS last year`: Earnings per share in the last year.
- `Debt (1, 3, 5, 7, 10 years)`: Debt of the company over different time periods.

Quarterly_Profit_Loss.csv

 - `Sales`: Revenue generated by the company.
 - `Expenses`: Total expenses incurred.
 - `Operating Profit`: Profit from core operations.
 - `OPM %`: Operating Profit Margin percentage.
 - `Other Income`: Additional income sources.
 - `Interest`: Interest paid.
 - `Depreciation`: Depreciation of assets.
 - `Profit before tax`: Profit before tax.
 - `Tax %`: Tax percentage.
 - `Net Profit`: Net profit after tax.
 - `EPS in Rs`: Earnings per share.

Yearly_Profit_Loss.csv

- Same as Quarterly_Profit_Loss.csv, but on a yearly basis.

Yearly_Balance_Sheet.csv

- `Equity Capital`: Capital raised through equity.
- `Reserves`: Company's retained earnings.
- `Borrowings`: Company's borrowings.
- `Other Liabilities`: Other financial obligations.
- `Total Liabilities`: Sum of all liabilities.
- `Fixed Assets`: Company's long-term assets.
- `CWIP`: Capital Work in Progress.
- `Investments`: Company's investments.
- `Other Assets`: Other non-current assets.
- `Total Assets`: Sum of all assets.

Yearly_Cash_flow.csv

- `Cash from Operating Activity`: Cash generated from core business operations.
- `Cash from Investing Activity`: Cash from investments.
- `Cash from Financing Activity`: Cash from financing (borrowing, stock issuance, etc.).
- `Net Cash Flow`: Overall net cash flow.

Ratios.csv.csv

- `Debtor Days`: Number of days it takes to collect receivables.
- `Inventory Days`: Number of days inventory is held.
- `Days Payable`: Number of days a company takes to pay its bills.
- `Cash Conversion Cycle`: Time taken to convert sales into cash.
- `Wor...

According to 2021 Forbes data, the richest man in India is business magnate Mukesh Ambani with a net worth of about 84.5 billion U.S. dollars.

Wealth distribution in India

India’s wealth is very unevenly distributed, with the wealthiest one percent of inhabitants owning more than half of the wealth. Currently, the majority of Indians own less than 10,000 U.S. dollars in wealth and assets and over 80 percent of Indian households have an average monthly income of 20,000 Indian rupees (about 286 U.S. dollars) or less – and even less in rural areas. Poverty is among the most common worries of Indian people and a prevalent problem in the country, despite a growing economy.

India’s growing economy benefits many, but not all

Most Indians live in rural areas, where agriculture is still the main provider. In fact, agriculture was an important economic driver for a long time, until services gained traction (and now generates almost half of India’s GDP). Mukesh Ambani, India’s richest entrepreneur, is one of the beneficiaries of this development, since his company, Reliance Industries, owns businesses mostly in the services sector.