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.

Contribution of transportation services to the economy and the Transportation Satellite Accounts

Sharing economy services have exploded in popularity over recent years, with many expecting this trend to continue. The total value of the global sharing economy has been predicted to increase to over ************ U.S. dollars by 2030, up from *** billion U.S. dollars in 2024. This has translated to a compound annual growth rate (CAGR) of approximately ** percent. The sharing economyThe sharing economy is where assets owned by members of a network can be temporarily accessed by other members of the network, generally through an online platform. This differs from traditional businesses, whereby goods and services are owned by a single owner and then rented to the public. Because of this difference, sharing economy companies often escape industry regulations. The two most common examples of the sharing economy are the sharing of private vehicles via ride-hailing apps such as Uber, and the various other sharing economy businesses – predominantly Airbnb, that has left its mark globally. Coworking, where workers from different organizations can access shared office space, is also considered part of the sharing economy. RegulationThe growth predicted above assumes that the sharing economy retains its position outside of industry regulations – something that is not certain. For example, opinions of Canadians on how the government should regulate Uber have been that they should be regulated in the same way as taxis, which would raise licensing and staffing costs. This would of course increase the cost to the consumer. What has kept customers however, are the top benefits consumers recognize from using sharing economy services, such as it generally being cheaper for users.

About this dataset

Context

The dataset tabulates the Economy population by year. The dataset can be utilized to understand the population trend of Economy.

Content

The dataset constitues the following datasets

• Economy, PA Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

In 2024, the gross domestic product (GDP) of the United Kingdom grew by 0.9 percent and is expected to grow by just one percent in 2025 and by 1.9 percent in 2026. Growth is expected to slow down to 1.8 percent in 2027, and then grow by 1.7, and 1.8 percent in 2027 and 2028 respectively. The sudden emergence of COVID-19 in 2020 and subsequent closure of large parts of the economy were the cause of the huge 9.4 percent contraction in 2020, with the economy recovering somewhat in 2021, when the economy grew by 7.6 percent. UK growth downgraded in 2025 Although the economy is still expected to grow in 2025, the one percent growth anticipated in this forecast has been halved from two percent in October 2024. Increased geopolitical uncertainty as well as the impact of American tariffs on the global economy are some of the main reasons for this mark down. The UK's inflation rate for 2025 has also been revised, with an annual rate of 3.2 percent predicated, up from 2.6 percent in the last forecast. Unemployment is also anticipated to be higher than initially thought, with the annual unemployment rate likely to be 4.5 percent instead of 4.1 percent. Long-term growth problems In the last two quarters of 2023, the UK economy shrank by 0.1 percent in Q3 and by 0.3 percent in Q4, plunging the UK into recession for the first time since the COVID-19 pandemic. Even before that last recession, however, the UK economy has been struggling with weak growth. Although growth since the pandemic has been noticeably sluggish, there has been a clear long-term trend of declining growth rates. The economy has consistently been seen as one of the most important issues to people in Britain, ahead of health, immigration and the environment. Achieving strong levels of economic growth is one of the main aims of the Labour government elected in 2024, although after almost one year in power it has so far proven elusive.

This dataset provides a historical overview of key global indicators, including Gross Domestic Product (GDP), population growth, and CO2 emissions. It captures economic trends, demographic shifts, and environmental impacts over multiple decades, making it useful for researchers, analysts, and policymakers.

The dataset includes Real GDP (inflation-adjusted), allowing for economic trend analysis while accounting for inflation effects. Additionally, it incorporates CO2 emissions data, enabling studies on the relationship between economic growth and environmental impact.

This dataset is valuable for multiple research areas:

✅ Macroeconomic Analysis – Study global economic growth, recessions, and recovery trends.

✅ Inflation & Monetary Policy – Compare nominal vs. real GDP to assess inflationary trends.

✅ Climate Change Research – Analyze CO2 emissions alongside economic growth to identify sustainability challenges.

✅ Predictive Modeling – Train machine learning models for forecasting GDP, population, or emissions.

✅ Public Policy & Development – Evaluate the impact of economic and environmental policies over time.

This dataset is shared for educational and analytical purposes only.

Trend Market Economy is calculated based on data of Market Economy status index for 2016 and 2018 whether it is increasing or decreasing. Market Economy Status index is calculated taking account indicators like Level of Socioeconomic Development, Organization of the Market and Competition, Currency and Price Stability, Private Property, welfare regime, economic performance and sustainability. Market Economy Status index is one of indicators contributing for Bertelsmann Stiftung’s Transformation Index (BTI). The short description of Bertelsmann Stiftung’s Transformation Index (BTI)is given below :- Advocating reforms aimed at supporting the development of a constitutional democracy and a socially responsible market economy, the BTI provides the framework for an exchange of good practices among agents of reform. The BTI publishes two rankings, the Status Index and the Management Index, both of which are based on in-depth assessments of 129 countries. The Status Index ranks the countries according to the state of their democracy and market economy, while the Management Index ranks them according to their respective leadership’s management performance. Distributed among the dimensions of democracy, market economy and management, a total of 17 criteria are subdivided into 49 questions. BTI countries are selected according to the following criteria: They have yet to achieve a fully consolidated democracy and market economy, have populations of more than two million (excepting seven states chosen as particularly interesting cases), and are recognized as sovereign states. Quality/Lineage: The data is downloaded from the above link https://www.bti-project.org/en/data/ and manipulated only table format keeping the value same for all the countries as the requirement of the Strive database. The map is created based on the values of the country using rworldmap package in R.

Economy Survey: Manufacturing: Sales: Trend: Furniture & Other data was reported at 508.834 NZD mn in Jun 2018. This records an increase from the previous number of 496.879 NZD mn for Mar 2018. Economy Survey: Manufacturing: Sales: Trend: Furniture & Other data is updated quarterly, averaging 453.614 NZD mn from Mar 1995 (Median) to Jun 2018, with 94 observations. The data reached an all-time high of 537.465 NZD mn in Mar 2005 and a record low of 391.839 NZD mn in Dec 2012. Economy Survey: Manufacturing: Sales: Trend: Furniture & Other data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.S007: Economy Survey: ANZSIC06: Trend.

"The International Economic Dynamics Index" includes statistical values of industrial production, unemployment rate, wholesale price, consumer price, central bank discount rate, basic interest rate, commodity trade, and foreign exchange reserves for the latest 10 years and the latest 2 years of each month.

The global shift towards sustainable development has highlighted the circular economy as a crucial approach to sustainable entrepreneurship and business. This study aims to map research trends in circular economy across various countries from 2014 to 2023. Using bibliometric analysis, we examined 237 publication documents sourced from Scopus.

Japan Economy Watchers: DI: FEC: sa: Household Trends (HT) data was reported at 46.200 NA in Jun 2019. This records an increase from the previous number of 46.100 NA for May 2019. Japan Economy Watchers: DI: FEC: sa: Household Trends (HT) data is updated monthly, averaging 48.200 NA from Jan 2002 (Median) to Jun 2019, with 210 observations. The data reached an all-time high of 56.800 NA in Nov 2013 and a record low of 23.100 NA in Dec 2008. Japan Economy Watchers: DI: FEC: sa: Household Trends (HT) data remains active status in CEIC and is reported by Cabinet Office. The data is categorized under Global Database’s Japan – Table JP.S070: Economy Watchers Survey: Seasonally Adjusted.

About this dataset

Context

The dataset tabulates the Economy population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Economy across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Economy was 147, a 0.68% decrease year-by-year from 2021. Previously, in 2021, Economy population was 148, a decline of 0.00% compared to a population of 148 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Economy decreased by 53. In this period, the peak population was 201 in the year 2002. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Economy is shown in this column.
• Year on Year Change: This column displays the change in Economy population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Year. You can refer the same here

Consumer trends time series dataset up to Quarter 2 (April to June) 2025.

About this dataset

Context

The dataset tabulates the Economy population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Economy.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Economy, IN Population Breakdown by Race
• Economy, IN Non-Hispanic Population Breakdown by Race
• Economy, IN Hispanic or Latino Population Distribution by Their Ancestries

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/.

The statistic shows global gross domestic product (GDP) from 1985 to 2024, with projections up until 2030. In 2020, global GDP amounted to about 85.76 trillion U.S. dollars, two and a half trillion lower than in 2019. Gross domestic product Gross domestic product, also known as GDP, is the accumulated value of all finished goods and services produced in a country, often measured annually. GDP is significant in determining the economic health, growth and productivity in the country, and is a stat often used when comparing several countries at a time, most likely in order to determine which country has seen the most progress. Until 2020, Global GDP had experienced a growth every year since 2010. However, a strong growth rate does not necessarily lead to all positive outcomes and often has a negative effect on inflation rates. A severe growth in GDP leads to lower unemployment, however lower unemployment often leads to higher inflation rates due to demand increasing at a much higher rate than supply and as a result prices rise accordingly. In terms of unemployment, growth had been fairly stagnant since the economic downturn of 2007-2009, but it remains to be seen what the total impact of the coronavirus pandemic will be on total employment.

The Gross Domestic Product (GDP) in the United States was worth 29184.89 billion US dollars in 2024, according to official data from the World Bank. The GDP value of the United States represents 27.49 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

The digital economy, as a new economic form with high information density, provides a new driving force for the realization of high-quality agricultural development. Panel data of 31 provinces in China from 2011 to 2020 were selected for analysis. The static panel data interaction effect model and panel threshold model were used to verify the nonlinear influence mechanism and heterogeneity of financial development in the process of the digital economy affecting high-quality agricultural development. The findings are as follows. (1) During the study period, the high-quality development of China’s agriculture showed a steady upward trend; however, the regional differences were significant, and the eastern part was larger than the central and western part. (2) The digital economy can promote high-quality agricultural development. (3) The digital economy has a double threshold effect in the process of affecting high-quality agricultural development, which depends on the level of financial development. When the threshold is exceeded, the digital economy has a more significant promoting effect on high-quality agricultural development. (4) The impact of the digital economy on high-quality agricultural development is heterogeneous. From the perspective of different regions, the impact effect is greatest in the eastern region, while the effect is smaller in the central and western regions. From different resource endowments, the positive impact effect is greatest in the major grain-selling areas, followed by the major grain producing areas, but the positive digital economy driving effect is not significant in the balance of production and sales areas. Finally, three policy suggestions are proposed. First, the Chinese government should increase investments in and support for digital technology to promote the integration of the digital economy and agriculture. Second, the Chinese government should promote the development of digital inclusive finance in areas with financial development below the threshold. Third, different regions should implement differentiated digital economies to promote high-quality agricultural development.

This dataset aims to provide insights into the economic significance of the fisheries and aquaculture sector within the marine economy. By examining the GDP weightage of fisheries and aquaculture activities, policymakers, economists, and researchers can gain a deeper understanding of their contributions to the overall economy.

The dataset consists of various variables related to fisheries and aquaculture, including production data, economic indicators, and other relevant metrics. The data can be analyzed to assess the sector's economic performance, growth trends, and its impact on the broader marine economy.

Key Features of the Dataset:

Fisheries and Aquaculture Data: The dataset includes information on fishery catches, aquaculture production, and other relevant data related to the industry's output. Economic Indicators: The dataset contains economic indicators such as Gross Domestic Product (GDP) contributions, employment figures, export values, and investment statistics, allowing for a comprehensive analysis of the sector's economic impact. Time-Series Data: The dataset covers a span of several years, enabling researchers to analyze the dynamics, trends, and fluctuations in the fisheries and aquaculture sector over time. Geographic Coverage: The dataset encompasses a specific geographical region or country, providing a localized view of the fisheries and aquaculture industry's economic significance within that context. Potential Applications and Benefits of the Dataset:

Policy Development: Policymakers can leverage this dataset to formulate evidence-based policies and strategies that promote sustainable growth, employment generation, and value addition in the fisheries and aquaculture sector. Economic Analysis: Economists and researchers can use this dataset to study the sector's performance, its contributions to the GDP, trade patterns, and its linkage to other sectors within the marine economy. Investment Opportunities: Investors and industry stakeholders can explore the dataset to identify emerging opportunities, evaluate market trends, and make informed decisions regarding investment in fisheries and aquaculture ventures. Sustainability Assessment: The dataset can be used to assess the sustainability of fisheries and aquaculture practices, monitor resource utilization, and guide conservation efforts. Note: The dataset provided is fictional and serves as an example. In reality, accessing actual Marine Economy Account Data related to Fisheries and Aquaculture GDP weightage would involve gathering data from reliable sources such as government agencies, research institutes, or international organizations specializing in fisheries and marine economics.

The statistic shows the gross domestic product (GDP) of the United States from 1987 to 2024, with projections up until 2030. The gross domestic product of the United States in 2024 amounted to around 29.18 trillion U.S. dollars. The United States and the economy The United States’ economy is by far the largest in the world; a status which can be determined by several key factors, one being gross domestic product: A look at the GDP of the main industrialized and emerging countries shows a significant difference between US GDP and the GDP of China, the runner-up in the ranking, as well as the followers Japan, Germany and France. Interestingly, it is assumed that China will have surpassed the States in terms of GDP by 2030, but for now, the United States is among the leading countries in almost all other relevant rankings and statistics, trade and employment for example. See the U.S. GDP growth rate here. Just like in other countries, the American economy suffered a severe setback when the economic crisis occurred in 2008. The American economy entered a recession caused by the collapsing real estate market and increasing unemployment. Despite this, the standard of living is considered quite high; life expectancy in the United States has been continually increasing slightly over the past decade, the unemployment rate in the United States has been steadily recovering and decreasing since the crisis, and the Big Mac Index, which represents the global prices for a Big Mac, a popular indicator for the purchasing power of an economy, shows that the United States’ purchasing power in particular is only slightly lower than that of the euro area.