Monthly and long-term United States economic indicators data: historical series and analyst forecasts curated by FocusEconomics.

This dataset contains the financial records of 12 major German companies, including top players like Volkswagen AG, Siemens AG, Allianz SE, BMW AG, BASF SE, Deutsche Telekom AG, Daimler AG, SAP SE, Bayer AG, Deutsche Bank AG, Porsche AG, and Merck KGaA. Covering quarterly data from 2017 to 2024, this dataset is designed to provide insights into key financial metrics, allowing for indepth analysis and modeling of corporate financial health, performance, and growth trends. this comprehensive dataset is highly suitable for tasks such as financial forecasting, risk analysis, profitability assessment, and performance benchmarking. Each entry represents one quarter’s financial snapshot for a company, enabling robust time series and cross-sectional analyses.

Data Sources:

Company: Name of the company to which the financial data corresponds (e.g., "Volkswagen AG"). This field categorizes the data and enables cross-company comparisons and individual company trend analysis.

Period: The specific quarter (in year-month format) when the financial data was recorded (e.g., "2017-03-31" for Q1 of 2017). This field is crucial for time-series analysis, allowing users to track financial trends and performance over time.

Revenue: The total revenue of the company for that quarter, measured in billions of Euros. This field provides insight into the company’s sales performance and market reach within each period.

Net Income: The net income (profit after all expenses) of the company for the given quarter, also in billions of Euros. Net income is a key indicator of a company’s profitability and financial efficiency.

Liabilities: The total liabilities (debt and obligations) of the company for the quarter, in billions of Euros. This metric helps gauge the company’s financial leverage and debt exposure, essential for risk assessment.

Assets: The total assets (all owned resources with economic value) for the company in billions of Euros. This metric reflects the scale of the company’s holdings and resources available for operations and investments.

Equity: The shareholder equity calculated as Assets minus Liabilities, in billions of Euros. Equity indicates the residual value owned by shareholders and serves as a core metric for assessing financial stability and value creation.

ROA (%): Return on Assets (ROA), expressed as a percentage, calculated as (Net Income / Assets) * 100. ROA shows how efficiently a company is utilizing its assets to generate profit, an essential measure of operational effectiveness.

ROE (%): Return on Equity (ROE), expressed as a percentage, calculated as (Net Income / Equity) * 100. ROE is a key indicator of financial performance and profitability, reflecting the rate of return on shareholders' investment.

Debt to Equity: The ratio of Liabilities to Equity. This metric provides insights into the company’s capital structure and financial leverage, aiding in risk assessment by showing how much of the company’s operations are funded through debt compared to shareholder equity.

Singapore led the Index of Economic Freedom in 2024, with an index score of 83.5 out of 100. Switzerland, Ireland, Taiwan, and Luxembourg rounded out the top five. Economic Freedom Index In order to calculate the Economic Freedom Index, the source takes 12 different factors into account, including the rule of law, government size, regulatory efficiency, and open markets. All 12 factors are rated on a scale of zero to 100 and are weighted equally. Every country is rated within the Index in order to provide insight into the health and freedom of the global economy. Singapore's economy Singapore is one of the four so-called Asian Tigers, a term used to describe four countries in Asia that saw a booming economic development from the 1950s to the early 1990. Today, the City-State is known for its many skyscrapers, and its economy continue to boom. It has one of the lowest tax-rates in the Asia-Pacific region, and continues to be open towards foreign direct investment (FDI). Moreover, Singapore has one of the highest trade-to-GDP ratios worldwide, underlining its export-oriented economy. Finally, its geographic location has given it a strategic position as a center connecting other countries in the region with the outside world. However, the economic boom has come at a cost, with the city now ranked among the world's most expensive.

As the primary goal of the 17 Sustainable Development Goals (SDGs), poverty eradication is still one of the major challenges faced by countries around the world, and relative poverty is a comprehensive poverty pattern triggered by the superposition of economic, social, and environmental dimensions. Therefore, Therefore, this paper introduces the perspective of coupled coordination to consider the formation of relative poverty, constructs indicators in three major dimensions: economic, social, and environmental, proposes a fast and more accurate method of identifying relative poverty in a region by using machine learning, measures the degree of coupled coordination of China’s relatively poor provinces using a coupled coordination model and analyzes the relationship with the level of relative poverty, and puts forward suggestions for poverty management on this basis using typology classification. The results of the study show that: 1) the fusion of data crawlers, remote sensing space, and other multi-source data to construct the dataset and propose a fast and efficient regional relative poverty identification method based on big data with low comprehensive cost and high identification accuracy of 0.914. 2) Currently, 70.83% of the economic-social-environmental systems of the relatively poor regions are in the dysfunctional type and are in a state of disordered development and malignant constraints. The regions showing coupling disorders are mainly clustered in the three southern prefectures of Xinjiang, Qinghai, Gansu, Yunnan, and Sichuan, and their spatial distribution is relatively concentrated. 3) The types of poverty and their coupled and coordinated development in each region show large spatial variability, requiring differentiated poverty eradication countermeasures tailored to local conditions to achieve sustainable regional economic-social-environmental development.

Snapshot img

Alternative Data Market Size 2025-2029

The alternative data market size is valued to increase USD 60.32 billion, at a CAGR of 52.5% from 2024 to 2029. Increased availability and diversity of data sources will drive the alternative data market.

Major Market Trends & Insights

North America dominated the market and accounted for a 56% growth during the forecast period.
By Type - Credit and debit card transactions segment was valued at USD 228.40 billion in 2023
By End-user - BFSI segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 6.00 million
Market Future Opportunities: USD 60318.00 million
CAGR from 2024 to 2029 : 52.5%

Market Summary

The market represents a dynamic and rapidly expanding landscape, driven by the increasing availability and diversity of data sources. With the rise of alternative data-driven investment strategies, businesses and investors are increasingly relying on non-traditional data to gain a competitive edge. Core technologies, such as machine learning and natural language processing, are transforming the way alternative data is collected, analyzed, and utilized. Despite its potential, the market faces challenges related to data quality and standardization. According to a recent study, alternative data accounts for only 10% of the total data used in financial services, yet 45% of firms surveyed reported issues with data quality.
Service types, including data providers, data aggregators, and data analytics firms, are addressing these challenges by offering solutions to ensure data accuracy and reliability. Regional mentions, such as North America and Europe, are leading the adoption of alternative data, with Europe projected to grow at a significant rate due to increasing regulatory support for alternative data usage. The market's continuous evolution is influenced by various factors, including technological advancements, changing regulations, and emerging trends in data usage.

What will be the Size of the Alternative Data Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Alternative Data Market Segmented ?

The alternative data industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Credit and debit card transactions
  Social media
  Mobile application usage
  Web scrapped data
  Others


End-user

  BFSI
  IT and telecommunication
  Retail
  Others


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By Type Insights

The credit and debit card transactions segment is estimated to witness significant growth during the forecast period.

Alternative data derived from credit and debit card transactions plays a significant role in offering valuable insights for market analysts, financial institutions, and businesses. This data category is segmented into credit card and debit card transactions. Credit card transactions serve as a rich source of information on consumers' discretionary spending, revealing their luxury spending tendencies and credit management skills. Debit card transactions, on the other hand, shed light on essential spending habits, budgeting strategies, and daily expenses, providing insights into consumers' practical needs and lifestyle choices. Market analysts and financial institutions utilize this data to enhance their strategies and customer experiences.

Natural language processing (NLP) and sentiment analysis tools help extract valuable insights from this data. Anomaly detection systems enable the identification of unusual spending patterns, while data validation techniques ensure data accuracy. Risk management frameworks and hypothesis testing methods are employed to assess potential risks and opportunities. Data visualization dashboards and machine learning models facilitate data exploration and trend analysis. Data quality metrics and signal processing methods ensure data reliability and accuracy. Data governance policies and real-time data streams enable timely access to data. Time series forecasting, clustering techniques, and high-frequency data analysis provide insights into trends and patterns.

Model training datasets and model evaluation metrics are essential for model development and performance assessment. Data security protocols are crucial to protect sensitive financial information. Economic indicators and compliance regulations play a role in the context of this market. Unstructured data analysis, data cleansing pipelines, and statistical significance are essential for deriving meaningful insights from this data. New

Techsalerator's News Events Data for India: A Comprehensive Overview

Techsalerator's News Events Data for India provides a robust resource for businesses, researchers, and media organizations. This dataset aggregates information on significant news events across India, drawing from a diverse array of media sources, including newspapers, online publications, and social media platforms. It offers valuable insights for those interested in tracking trends, analyzing public sentiment, or monitoring developments within specific industries.

Key Data Fields Event Date: Records the exact date of the news event, essential for analyzing trends over time or for businesses responding to market shifts.

Event Title: A brief headline summarizing the event, allowing users to quickly categorize and assess the relevance of news content to their interests.

Source: Identifies the news outlet or platform where the event was reported, helping users track credible sources and evaluate the event's reach and influence.

Location: Provides geographic information on where the event occurred within India, valuable for regional analysis or localized marketing efforts.

Event Description: Offers a detailed summary of the event, outlining key developments, participants, and potential impact. This information helps researchers and businesses understand the context and implications of the event.

Top 5 News Categories in India Politics: Covers major news related to government decisions, political movements, elections, and policy changes impacting the national landscape.

Economy: Focuses on India's economic indicators, inflation rates, international trade, and corporate activities influencing the business and finance sectors.

Social Issues: Includes news on protests, public health, education, and other societal concerns that drive public discourse.

Sports: Highlights events in cricket, football, and other popular sports, often drawing significant attention and engagement across the country.

Technology and Innovation: Reports on tech advancements, startups, and innovations in India's growing tech ecosystem, featuring companies like Tata Consultancy Services and Infosys.

Top 5 News Sources in India The Times of India: A leading newspaper providing extensive coverage of politics, economy, and social issues.

The Hindu: A respected publication known for its in-depth reporting on national and international news, politics, and cultural events.

NDTV: A major news network offering real-time updates on current affairs, sports, and entertainment.

Hindustan Times: A prominent newspaper covering national politics, business news, and social issues.

Economic Times: A leading source for business and financial news, focusing on economic developments and corporate activities.

Accessing Techsalerator’s News Events Data for India To access Techsalerator’s News Events Data for India, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields Event Date Event Title Source Location Event Description Event Category (Politics, Economy, Sports, etc.) Participants (if applicable) Event Impact (Social, Economic, etc.)

Techsalerator’s dataset is a valuable tool for keeping track of significant events in India. It supports informed decision-making, whether for business strategy, market analysis, or academic research, offering a clear view of the country's news landscape.

Switzerland Exports: sa: ow Energy Sources (ES) data was reported at 201.353 CHF mn in Feb 2020. This records an increase from the previous number of 199.451 CHF mn for Jan 2020. Switzerland Exports: sa: ow Energy Sources (ES) data is updated monthly, averaging 239.173 CHF mn from Jan 1997 (Median) to Feb 2020, with 278 observations. The data reached an all-time high of 761.197 CHF mn in Sep 2008 and a record low of 10.979 CHF mn in Jan 1997. Switzerland Exports: sa: ow Energy Sources (ES) data remains active status in CEIC and is reported by Swiss Federal Customs Administration. The data is categorized under Global Database’s Switzerland – Table CH.JA004: Exports: by Major Commodity: Seasonally Adjusted .

Russia Disposable Resources: AM: Households Group 10: 10% with Highest Income data was reported at 90,871.600 RUB in Sep 2018. This records an increase from the previous number of 90,837.100 RUB for Jun 2018. Russia Disposable Resources: AM: Households Group 10: 10% with Highest Income data is updated quarterly, averaging 51,476.100 RUB from Mar 2005 (Median) to Sep 2018, with 55 observations. The data reached an all-time high of 90,871.600 RUB in Sep 2018 and a record low of 13,075.500 RUB in Mar 2005. Russia Disposable Resources: AM: Households Group 10: 10% with Highest Income data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA022: Household Disposable Resources: by Household Groups.

Russia Money Income: AM: Households Group 10: 10% with Highest Income data was reported at 72,538.000 RUB in Sep 2018. This records an increase from the previous number of 64,826.700 RUB for Jun 2018. Russia Money Income: AM: Households Group 10: 10% with Highest Income data is updated quarterly, averaging 40,064.400 RUB from Mar 2005 to Sep 2018, with 55 observations. The data reached an all-time high of 72,538.000 RUB in Sep 2018 and a record low of 11,861.500 RUB in Mar 2005. Russia Money Income: AM: Households Group 10: 10% with Highest Income data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA023: Household Disposable Resources: by Household Groups: Income.

Monthly and long-term Russia economic indicators data: historical series and analyst forecasts curated by FocusEconomics.

The Organisation for Economy Cooperation and Development (OECD) defines inclusive as "economic growth that creates opportunity for all segments of the population and distributes the dividends of increased prosperity, both in monetary and non-monetary terms, fairly across society". The Joseph Rowntree Foundation (JRF) identified a list of 18 Inclusive growth monitor indicators to provide a benchmark of how an area is performing. This dataset provides data on each indicator. The report and supporting documents can be found at Inclusive growth indicators for cities . We used these indicators to create an Inclusive Economy Calderdale project data pack in 2017 and 2018. In each indicator, Calderdale is compared against the Leeds City Region and 'Best Borough in the North'. Leeds City Region is a Local enterprise region of ten authorities in Yorkshire: Barnsley, Bradford, Calderdale, Craven, Harrogate, Kirklees, Leeds, Selby, Wakefield and York. Best Borough in the North is a group of northern authorities which Calderdale Council benchmarks its corporate performance against: Barnsley, Bolton, Bury, Calderdale, Doncaster, Gateshead, Kirklees, Knowsley, North Tyneside, Oldham, Rochdale, Rotherham, Sefton, South Tyneside, St Helens, Stockport, Tameside, Trafford, Wigan and Wirral. The data in these resources are from several sources. Each resource in this dataset includes the data source used. The Inclusive Economy Calderdale data pack was used as to monitor progress with the Calderdale Inclusive Economy Strategy and as part of the Kindness and Resilience data pack for the We are Calderdale assembly. It has previously contributed to the Grow the Economy data pack for State of Calderdale events in 2018 and 2017.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

Techsalerator's News Events Data for Singapore: A Comprehensive Overview

Techsalerator's News Events Data for Singapore offers a powerful resource for businesses, researchers, and media organizations. This dataset compiles information on significant news events across Singapore, pulling from a wide range of media sources, including news outlets, online publications, and social platforms. It provides valuable insights for those looking to track trends, analyze public sentiment, or monitor industry-specific developments.

Key Data Fields - Event Date: Captures the exact date of the news event. This is crucial for analysts who need to monitor trends over time or for businesses responding to market shifts. - Event Title: A brief headline describing the event. This allows users to quickly categorize and assess news content based on relevance to their interests. - Source: Identifies the news outlet or platform where the event was reported. This helps users track credible sources and assess the reach and influence of the event. - Location: Provides geographic information, indicating where the event took place within Singapore. This is especially valuable for regional analysis or localized marketing efforts. - Event Description: A detailed summary of the event, outlining key developments, participants, and potential impact. Researchers and businesses use this to understand the context and implications of the event.

Top 5 News Categories in Singapore - Politics: Major news coverage on government decisions, political movements, elections, and policy changes that affect the national landscape. - Economy: Focuses on Singapore’s economic indicators, inflation rates, international trade, and corporate activities influencing business and finance sectors. - Social Issues: News events covering public health, education, and other societal concerns that drive public discourse. - Sports: Highlights events in popular sports such as soccer, swimming, and table tennis, often drawing widespread attention and engagement. - Technology and Innovation: Reports on tech developments, startups, and innovations in Singapore’s thriving tech ecosystem, featuring emerging companies and advancements.

Top 5 News Sources in Singapore - The Straits Times: A leading news outlet providing comprehensive coverage of national politics, economy, and social issues. - Channel News Asia: A major news platform known for its timely updates on breaking news, politics, and current affairs. - The Business Times: A widely-read newspaper offering insights into economic developments, business news, and corporate activities. - TODAY: A significant news source covering a broad spectrum of topics, including politics, economy, and social issues. - Channel 8 News: The national news channel delivering updates on significant events, public health, and sports across Singapore.

Accessing Techsalerator’s News Events Data for Singapore To access Techsalerator’s News Events Data for Singapore, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

Techsalerator’s dataset is an invaluable tool for keeping track of significant events in Singapore. It aids in making informed decisions, whether for business strategy, market analysis, or academic research, providing a clear picture of the country’s news landscape.

Techsalerator's News Events Data for Republic of Congo: A Comprehensive Overview

Techsalerator's News Events Data for the Republic of Congo offers a valuable resource for businesses, researchers, and media organizations. This dataset aggregates information on significant news events across the Republic of Congo, drawing from diverse media sources, including news outlets, online publications, and social platforms. It provides critical insights for those looking to track trends, analyze public sentiment, or monitor industry-specific developments.

Key Data Fields

• Event Date: Captures the exact date of the news event, crucial for analysts monitoring trends over time or businesses responding to market shifts.

• Event Title: A brief headline describing the event, allowing users to quickly categorize and assess news content based on relevance to their interests.

• Source: Identifies the news outlet or platform where the event was reported, helping users track credible sources and assess the reach and influence of the event.

• Location: Provides geographic information, indicating where the event took place within the Republic of Congo, valuable for regional analysis or localized marketing efforts.

• Event Description: A detailed summary of the event, outlining key developments, participants, and potential impact, helping researchers and businesses understand the context and implications.

Top 5 News Categories in the Republic of Congo

• Politics: Major news coverage on government decisions, political movements, elections, and policy changes that affect the national landscape.

• Economy: Focuses on economic indicators, inflation rates, international trade, and corporate activities influencing business and finance sectors.

• Social Issues: News events covering protests, public health, education, and other societal concerns that drive public discourse.

• Sports: Highlights events in popular sports and activities, often drawing attention and engagement across the country.

• Technology and Innovation: Reports on tech developments, startups, and innovations within the Republic of Congo’s growing tech ecosystem.

Top 5 News Sources in the Republic of Congo

• Les Dépêches de Brazzaville: A major source for news on politics, economy, and social issues in the Republic of Congo.

• Radio Congo: Offers updates on current affairs, politics, and regional news through radio broadcasts.

• La Semaine Africaine: A prominent publication providing coverage of national and regional news, including politics and business.

• Télé Congo: A major television network broadcasting updates on current events, sports, and live news.

• Congo-Brazzaville News: An online platform offering real-time updates on breaking news, politics, and social issues.

Accessing Techsalerator’s News Events Data for the Republic of Congo

To access Techsalerator’s News Events Data for the Republic of Congo, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

• Event Date
• Event Title
• Source
• Location
• Event Description
• Event Category (Politics, Economy, Sports, etc.)
• Participants (if applicable)
• Event Impact (Social, Economic, etc.)

Techsalerator’s dataset is an invaluable tool for keeping track of significant events in the Republic of Congo. It aids in making informed decisions, whether for business strategy, market analysis, or academic research, providing a clear picture of the country’s news landscape.

Techsalerator's News Events Data for Trinidad and Tobago: A Comprehensive Overview

Techsalerator's News Events Data for Trinidad and Tobago provides a comprehensive resource for businesses, researchers, and media organizations. This dataset consolidates information on significant news events from various media sources, including news outlets, online publications, and social platforms. It offers valuable insights for those interested in tracking trends, analyzing public sentiment, or monitoring industry-specific developments in Trinidad and Tobago.

Key Data Fields - Event Date: Records the exact date of the news event. This is essential for analysts monitoring trends over time or for businesses responding to market shifts. - Event Title: A concise headline summarizing the event. This helps users quickly categorize and assess news content based on their interests. - Source: Identifies the news outlet or platform reporting the event. This aids users in tracking credible sources and assessing the reach and influence of the event. - Location: Provides geographic information on where the event occurred within Trinidad and Tobago. This is particularly valuable for regional analysis or localized marketing efforts. - Event Description: Offers a detailed summary of the event, outlining key developments, participants, and potential impacts. Researchers and businesses use this to understand the context and implications of the event.

Top 5 News Categories in Trinidad and Tobago - Politics: Covers major news on government decisions, political movements, elections, and policy changes affecting the nation. - Economy: Focuses on economic indicators, inflation rates, international trade, and corporate activities influencing the business and finance sectors. - Social Issues: Includes news on protests, public health, education, and other societal concerns that drive public discourse. - Sports: Highlights events in football, cricket, and other popular sports, drawing widespread attention and engagement across the country. - Technology and Innovation: Reports on tech developments, startups, and innovations within Trinidad and Tobago’s evolving tech ecosystem.

Top 5 News Sources in Trinidad and Tobago - Trinidad and Tobago Guardian: A leading newspaper providing extensive coverage of national politics, economy, and social issues. - Trinidad Express: A major news outlet known for its timely updates on breaking news, politics, and current affairs. - Newsday: A widely-read publication offering insights into local politics, economic developments, and societal trends. - CNC3: A significant news source covering a broad spectrum of topics, including politics, economy, and social issues. - TV6: The national television station delivering updates on significant events, public health, and sports across Trinidad and Tobago.

Accessing Techsalerator’s News Events Data for Trinidad and Tobago To access Techsalerator’s News Events Data for Trinidad and Tobago, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

Techsalerator’s dataset is a valuable tool for tracking significant events in Trinidad and Tobago. It supports informed decision-making for business strategies, market analysis, or academic research, providing a clear overview of the country’s news landscape.

Graph and download economic data for Share of Corporate Equities and Mutual Fund Shares Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBST01122) from Q3 1989 to Q2 2025 about mutual funds, wealth, equity, percentile, corporate, and USA.

India Coal: Resources: Tertiary Coal Fields: Inferred data was reported at 895.000 Ton mn in 2017. This records an increase from the previous number of 799.000 Ton mn for 2016. India Coal: Resources: Tertiary Coal Fields: Inferred data is updated yearly, averaging 799.000 Ton mn from Mar 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 895.000 Ton mn in 2017 and a record low of 369.000 Ton mn in 2008. India Coal: Resources: Tertiary Coal Fields: Inferred data remains active status in CEIC and is reported by Ministry of Coal. The data is categorized under India Premium Database’s Energy Sector – Table IN.RBO005: Coal: Resources: Tertiary Coal Fields: by Major States.

Coal: Resources: Gondawana Coalfields: Uttar Pradesh: Indicated data was reported at 178.000 Ton mn in 2023. This stayed constant from the previous number of 178.000 Ton mn for 2022. Coal: Resources: Gondawana Coalfields: Uttar Pradesh: Indicated data is updated yearly, averaging 178.000 Ton mn from Mar 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 296.000 Ton mn in 2009 and a record low of 177.760 Ton mn in 2016. Coal: Resources: Gondawana Coalfields: Uttar Pradesh: Indicated data remains active status in CEIC and is reported by Ministry of Coal. The data is categorized under India Premium Database’s Energy Sector – Table IN.RBQ006: Coal: Resources: Gondawana Coalfields: by Major States.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Economy, PA, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 33,587, while the mean income for the highest quintile (20% of households with the highest income) is 287,506. This indicates that the top earners earn 9 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 474,140, which is 164.91% higher compared to the highest quintile, and 1411.68% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Economy median household income. You can refer the same here

View monthly updates and historical trends for US Retail Sales. from United States. Source: Census Bureau. Track economic data with YCharts analytics.