United States GDP Growth Tracker: Yo2Y data was reported at 5.414 % in 23 Apr 2023. This records a decrease from the previous number of 5.752 % for 16 Apr 2023. United States GDP Growth Tracker: Yo2Y data is updated weekly, averaging 4.092 % from May 2020 (Median) to 23 Apr 2023, with 155 observations. The data reached an all-time high of 23.838 % in 03 Apr 2022 and a record low of -8.163 % in 24 May 2020. United States GDP Growth Tracker: Yo2Y data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.WT: GDP Growth Tracker: Weekly.

Indonesia GDP Growth Tracker: YoY: High data was reported at 7.397 % in Apr 2023. This records a decrease from the previous number of 7.878 % for Mar 2023. Indonesia GDP Growth Tracker: YoY: High data is updated monthly, averaging 7.586 % from Jan 2005 (Median) to Apr 2023, with 220 observations. The data reached an all-time high of 18.812 % in Apr 2021 and a record low of -4.607 % in Jun 2020. Indonesia GDP Growth Tracker: YoY: High data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Indonesia – Table ID.OECD.WT: GDP Growth Tracker: Monthly.

Context

This dataset is created as part of Opportunity Insights' Economic Tracker, which you can access directly (and with a very nice user interface) at https://www.tracktherecovery.org. The objective of this data is to allow everyone to track the state of the US economy in "real time" - in other words, the data is made available almost as soon as it comes in, and thus there is very little lag between the dataset and the current date. Another interesting feature is that the dataset is very granular, meaning that it can inform you about the economy even at the county or city level, and in some cases with breakdowns by economic sector or by income bracket.

Content

In short, the data originates from big companies that offer payments services, or job web portals, etc - these companies share their usage data with Opportunity Insight (in a way that protects user privacy, as you can read in detail in OI's website) and they, in turn, match that data with what would correspond to official statistics. Thus, the dataset can be reasonably interpreted as being a sort of tracker for the economy, even though OI does not tap from the same multitude of sources like the official statistical agencies. Further information about the content, including the specific files, can be found at the README page below.

Acknowledgements

This dataset is fully attributed to Opportunity Insights, and it is their complete merit. If you use it, please make sure to cite it adequately, by pointing to their website (as above) and to the following paper: "How Did COVID-19 and Stabilization Policies Affect Spending and Employment? A New Real-Time Economic Tracker Based on Private Sector Data", by Raj Chetty, John Friedman, Nathaniel Hendren, Michael Stepner, and the Opportunity Insights Team. June 2020. Available at: https://opportunityinsights.org/wp-content/uploads/2020/05/tracker_paper.pdf

Japan GDP Growth Tracker: Yo2Y data was reported at 4.152 % in Apr 2023. This records an increase from the previous number of 3.585 % for Mar 2023. Japan GDP Growth Tracker: Yo2Y data is updated monthly, averaging 2.160 % from Jan 2006 (Median) to Apr 2023, with 208 observations. The data reached an all-time high of 12.561 % in May 2022 and a record low of -11.285 % in May 2020. Japan GDP Growth Tracker: Yo2Y data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Japan – Table JP.OECD.WT: GDP Growth Tracker: Monthly.

CNBC Economy Articles Dataset is an invaluable collection of data extracted from CNBC’s economy section, offering deep insights into global and U.S. economic trends, market dynamics, financial policies, and industry developments.

This dataset encompasses a diverse array of economic articles on critical topics like GDP growth, inflation rates, employment statistics, central bank policies, and major global events influencing the market. Designed for researchers, analysts, and businesses, it serves as an essential resource for understanding economic patterns, conducting sentiment analysis, and developing financial forecasting models.

Dataset Highlights

Each record in the dataset is meticulously structured and includes:

• Article Titles
• Publication Dates
• Author Names
• Content Summaries
• URLs to Original Articles

This rich combination of fields ensures seamless integration into data science projects, research papers, and market analyses.

Key Features

• Number of Articles: Hundreds of articles sourced directly from CNBC.
• Data Fields: Includes title, publication date, author, article content, summary, URL, and relevant keywords.
• Topics Covered: U.S. and global economy, GDP trends, inflation, employment, financial markets, and monetary policies.
• Format: Delivered in CSV format for easy integration with research tools and analytical platforms.
• Source: Extracted directly from CNBC’s economy news section, ensuring accuracy and relevance.

Use Cases

• Economic Research: Gain insights into U.S. and global economic policies, market trends, and industry developments.
• Sentiment Analysis: Assess the sentiment of economic articles to gauge market perspectives and investor confidence.
• Financial Modeling: Build forecasting models leveraging key economic indicators discussed in the dataset.
• Content Creation: Develop research-backed reports, articles, and presentations on economic topics.

Who Benefits?

• Researchers & Academics studying macro-economics or financial policy.
  
• Data Scientists building AI models, trend analyzers, or economic forecasting tools.
  
• Economists & Analysts need real-world news data for policy analysis.
  
• Content Strategists who write data-backed articles about economic trends.

Why Choose This Dataset?

• No need to manually scrape CNBC — data is pre-extracted and clean.
  
• High-quality economy news metadata enables detailed filtering (by date, author, topic).
  
• Ready for machine learning, sentiment analysis, or building news-based economic models.
  
• Well-suited for trend tracking, policy analysis, and economic forecasting.

Explore More News Datasets

Interested in additional structured news datasets for your research or analytics needs? Check out our news dataset collection to find datasets tailored for diverse analytical applications.

A new model for tracking GDP in real time allows policymakers to assess the current state of the economy.

The NIESR Monthly GDP Tracker is an economic indicator published by the National Institute of Economic and Social Research in the UK, which provides an estimate of the country's GDP growth on a monthly basis.

Graph and download economic data for Equity Market Volatility Tracker: Macroeconomic News and Outlook: Trade (EMVMACROTRADE) from Jan 1985 to Nov 2025 about volatility, uncertainty, equity, trade, and USA.

Description for the Dataset

Title: Comprehensive Socio-Economic and Environmental Dataset of Bangladesh 1980-2023

Description:
This dataset provides an extensive overview of Bangladesh's socio-economic, demographic, and environmental indicators over time. It encompasses a wide array of features, including literacy rates, population statistics, economic growth metrics, trade balances, environmental indicators, healthcare spending, and poverty rates. The dataset aims to facilitate research and analysis on Bangladesh's development trends, policy impacts, and sustainability challenges.

Key Features: - Population and Demographics: Includes total population, growth rates, population density, birth/death rates, infant mortality rates, fertility rates, urban and rural population distributions, and migration statistics.
- Economic Indicators: GDP, GNP, GNI, trade balances, export and import metrics, inflation rates, unemployment rates, labor force participation, and foreign direct investment.
- Poverty and Social Metrics: National, rural, and urban poverty rates, literacy rates, healthcare spending, and maternal mortality rates.
- Environmental Metrics: Tree cover loss, carbon emissions, renewable energy usage, deforestation causes, and greenhouse gas emissions.
- Infrastructure and Development: Access to electricity and clean water, arable land, private vehicles, and tourism spending.
- Crime and Defense: Crime rates, homicide rates, and military spending.
- Education: Education spending as a percentage of GDP and youth unemployment rates.

Intended Use:
This dataset is designed for data analysis, trend forecasting, and machine learning applications. It is suitable for researchers, policymakers, and analysts studying socio-economic development, environmental sustainability, and public policy in Bangladesh.

Source and Methodology:
The dataset aggregates publicly available statistics from reliable sources, including government reports, international organizations, and research publications. It has been curated and processed to ensure consistency and usability.

Potential Applications:
- Analyzing the impact of socio-economic policies on literacy and poverty rates.
- Forecasting demographic and economic growth trends.
- Exploring the relationship between environmental changes and economic activities.
- Studying the effects of urbanization and migration on rural-urban dynamics.

License:
CC BY-SA 4.0

Keywords:
Bangladesh, Socio-Economic Indicators, Environmental Metrics, Development Trends, Poverty Rates, Literacy Rates, GDP, Carbon Emissions, Renewable Energy, Migration.

The Ontario Economic Accounts (OEA) is a quarterly public document that provides a detailed assessment of the current state of the Ontario economy. This dataset, spanning from January 1, 1981, to June 30, 2024, is based on data from Statistics Canada and offers comprehensive insights into various economic indicators. The OEA is primarily used by economists in both public and private sectors, as well as credit rating agencies, to understand and analyze the economic health of Ontario.

Key Features

• Economic Indicators: The dataset includes a wide range of economic indicators, providing a complete picture of the Ontario economy.
• Historical Data: Data is available from 1981 to 2024, offering a long-term perspective on economic trends and performance.
• Geographical Focus: Data is specific to Ontario, providing insights into provincial economic trends and patterns.
• Comprehensive Coverage: Includes key metrics such as asset groups and historical data, offering a robust foundation for economic analysis.

Potential Uses

• Economic Analysis: Assist in understanding the economic dynamics of Ontario, which is crucial for economic forecasting and planning.
• Policy Analysis: Support policymakers in monitoring and adjusting economic policies based on current and historical trends.
• Investment Decisions: Provide insights into optimal investment strategies for businesses and investors.
• Academic Research: Enable researchers to explore long-term economic trends and their implications for the province.
• Strategic Planning: Inform strategic planning for businesses and policymakers by providing a clear snapshot of current economic conditions and trends.

Israel GDP Growth Tracker: YoY: High data was reported at 5.480 % in Apr 2023. This records an increase from the previous number of 4.557 % for Mar 2023. Israel GDP Growth Tracker: YoY: High data is updated monthly, averaging 6.509 % from Jan 2005 (Median) to Apr 2023, with 220 observations. The data reached an all-time high of 28.735 % in Apr 2021 and a record low of -6.045 % in Apr 2020. Israel GDP Growth Tracker: YoY: High data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Israel – Table IL.OECD.WT: GDP Growth Tracker: Monthly.

The NIESR Monthly GDP Tracker is an economic indicator published by the National Institute of Economic and Social Research in the UK, which provides an estimate of the country's GDP growth on a monthly basis.-2025-12-12

The Maryland Department of Commerce collects and publishes its Commerce Consolidated Finance Tracker data to provide information on how the agency's grants, tax credits, equity investments and loan enhancements were distributed between FY 2016 and the most recent past fiscal year. Users can search and sort by company, amount, location and program.

This dataset provides comprehensive insights into the digital transformation of various economic activities. It includes indicators covering a wide range of topics—from the contribution of the digital economy to GDP, to the extent of establishments’ use of online tools and platforms. Key measures include the percentage of establishments offering electronic services or using cloud computing, tracking how businesses receive and deliver orders electronically, and evaluating their presence and advertising activities on social media. Additionally, the dataset tracks after-sale support offered through company websites, highlighting the integration of digital services in customer care. By analyzing these indicators, policymakers, researchers, and industry leaders can assess the growth and impact of digital adoption on economic performance, enabling data-driven decisions for future development.Follow data.kapsarc.org for timely data to advance energy economics research.

Weekly Economic Index in the United States decreased to 2.10 percent in November 22 from 2.29 percent in the previous week. This dataset includes a chart with historical data for the United States Weekly Economic Index.

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

Techsalerator's News Events Data for Peru offers a valuable resource for businesses, researchers, and media organizations. This dataset compiles information on significant news events across Peru, sourced from a variety of media channels including news outlets, online publications, and social platforms. It provides critical insights for tracking trends, analyzing public sentiment, and monitoring industry-specific developments.

Key Data Fields - Event Date: Records the exact date of the news event, essential for tracking trends over time or responding to market shifts. - Event Title: A concise headline describing the event, allowing users to quickly assess and categorize news content based on relevance. - Source: Identifies the news outlet or platform reporting the event, aiding users in tracking credible sources and evaluating the event's reach and influence. - Location: Provides geographic details indicating where the event occurred within Peru, valuable for regional analysis or localized marketing. - Event Description: A detailed summary outlining the key developments, participants, and potential impact of the event. This helps users understand the context and implications.

Top 5 News Categories in Peru - Politics: Covers major news related to government decisions, political movements, elections, and policy changes affecting the national landscape. - Economy: Focuses on economic indicators, inflation rates, international trade, and corporate activities impacting the business and finance sectors in Peru. - Social Issues: Includes news on protests, public health, education, and other societal concerns that influence public discourse. - Sports: Highlights events in popular sports such as football, volleyball, and others, capturing widespread public attention and engagement. - Technology and Innovation: Reports on tech developments, startups, and innovations within Peru’s evolving tech ecosystem, featuring new companies and advancements.

Top 5 News Sources in Peru - El Comercio: A leading news outlet offering comprehensive coverage of national politics, economics, and social issues. - La República: A major newspaper known for its detailed updates on breaking news, politics, and current affairs. - RPP Noticias: A prominent news platform providing timely coverage of a wide range of topics including politics, economy, and social issues. - Perú21: Offers extensive coverage on national and international news, focusing on politics, business, and entertainment. - Gestión: Specializes in economic and business news, providing insights into market trends and financial developments.

Accessing Techsalerator’s News Events Data for Peru To access Techsalerator’s News Events Data for Peru, 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 tracking significant events in Peru, aiding in informed decision-making for business strategy, market analysis, or academic research, and providing a comprehensive view of the country's news landscape.

Modern economies and societies produce massive datasets that need to be analysed using new modelling techniques. In particular, measuring the informational content of text in economic and social news is useful for market participants and societies to adjust their perception and expectations on the dynamics of future events and trends, thus significantly influencing policy-makers’ perception and decisions. Social media and news may provide a larger set of information than standard lower frequency socio-economic indicators. This dataset collects various unconventional datasets extracted from news and social media (JRC computations) which have the potential of bringing together insights on different socio-economic trends.

Small business transactions and revenue data aggregated from several credit card processors, collected by Womply and compiled by Opportunity Insights. Transactions and revenue are reported based on the ZIP code where the business is located.

Data provided for CT (FIPS code 9), MA (25), NJ (34), NY (36), and RI (44).

Data notes from Opportunity Insights: Seasonally adjusted change since January 2020. Data is indexed in 2019 and 2020 as the change relative to the January index period. We then seasonally adjust by dividing year-over-year, which represents the difference between the change since January observed in 2020 compared to the change since January observed since 2019. We account for differences in the dates of federal holidays between 2019 and 2020 by shifting the 2019 reference data to align the holidays before performing the year-over-year division.

Small businesses are defined as those with annual revenue below the Small Business Administration’s thresholds. Thresholds vary by 6 digit NAICS code ranging from a maximum number of employees between 100 to 1500 to be considered a small business depending on the industry.

County-level and metro-level data and breakdowns by High/Middle/Low income ZIP codes have been temporarily removed since the August 21st 2020 update due to revisions in the structure of the raw data we receive. We hope to add them back to the OI Economic Tracker soon.

More detailed documentation on Opportunity Insights data can be found here: https://github.com/OpportunityInsights/EconomicTracker/blob/main/docs/oi_tracker_data_documentation.pdf

United States GDP Growth Tracker: Yo2Y: Low data was reported at 2.227 % in 23 Apr 2023. This records a decrease from the previous number of 3.061 % for 16 Apr 2023. United States GDP Growth Tracker: Yo2Y: Low data is updated weekly, averaging 1.551 % from May 2020 (Median) to 23 Apr 2023, with 155 observations. The data reached an all-time high of 18.015 % in 03 Apr 2022 and a record low of -14.011 % in 24 May 2020. United States GDP Growth Tracker: Yo2Y: Low data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.WT: GDP Growth Tracker: Weekly.

Circular Economy Tracking Market Outlook

According to our latest research, the global Circular Economy Tracking market size reached USD 2.3 billion in 2024, with a robust compound annual growth rate (CAGR) of 17.4% from 2025 to 2033. The market is forecasted to achieve USD 10.2 billion by 2033, driven by heightened regulatory focus, increasing corporate sustainability commitments, and technological advancements in data analytics and IoT. This growth is primarily fueled by the urgent need for enterprises to measure, monitor, and optimize their resource utilization and waste management practices in alignment with circular economy principles.

The surge in demand for Circular Economy Tracking solutions is underpinned by a global shift towards sustainable business practices. Governments and regulatory bodies across regions are implementing stringent policies to reduce carbon footprints and promote resource efficiency. These regulations are compelling organizations, especially in resource-intensive industries, to adopt advanced tracking systems that provide real-time visibility into material flows, waste generation, and recycling rates. Furthermore, the integration of digital technologies such as IoT sensors, blockchain, and AI-driven analytics is enabling more accurate and comprehensive tracking, which is crucial for achieving circularity targets. As organizations strive to meet environmental, social, and governance (ESG) standards, the adoption of circular economy tracking platforms is expected to accelerate significantly.

Another key growth factor for the Circular Economy Tracking market is the increasing consumer and investor demand for transparency and accountability in supply chains. Modern consumers are more environmentally conscious and prefer brands that demonstrate responsible sourcing and production. Similarly, investors are directing capital towards companies with strong sustainability credentials, pushing businesses to implement traceability solutions that can verify circular practices. This shift is particularly evident in sectors such as manufacturing, electronics, and retail, where the end-to-end lifecycle of products—from raw material extraction to end-of-life disposal—must be meticulously tracked and reported. As a result, companies are investing heavily in software and hardware solutions that enable detailed monitoring and reporting of their circular economy initiatives.

The proliferation of collaborative platforms and industry partnerships is also catalyzing the adoption of circular economy tracking systems. Organizations are increasingly participating in cross-sector alliances and sharing best practices to achieve collective sustainability goals. These collaborations are fostering the development of interoperable tracking solutions that can be seamlessly integrated across diverse value chains. Additionally, the rise of circular business models—such as product-as-a-service, remanufacturing, and resource recovery—is necessitating advanced tracking capabilities to ensure efficient resource utilization and minimize waste. As digital transformation continues to reshape traditional industries, the demand for scalable and customizable circular economy tracking solutions is poised for sustained growth.

From a regional perspective, Europe remains at the forefront of the Circular Economy Tracking market, driven by ambitious policy frameworks such as the European Green Deal and the Circular Economy Action Plan. North America is witnessing rapid adoption due to strong regulatory support and innovation in sustainability technologies, while the Asia Pacific region is emerging as a high-growth market, propelled by industrialization and increasing environmental awareness. Latin America and the Middle East & Africa are also showing promising potential, albeit at a nascent stage, as governments and businesses in these regions begin to recognize the economic and environmental benefits of circularity. The diverse regulatory landscapes and varying levels of technological maturity across regions present both opportunities and challenges for market participants.