The Gross Domestic Product (GDP) in the United States was worth 27720.71 billion US dollars in 2023, according to official data from the World Bank. The GDP value of the United States represents 26.29 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The main stock market index in the United States (US500) decreased 176 points or 2.99% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on March of 2025.

The Economic Indictor Service (EIS) aims to deliver professional economic content to financial institutions on both the buy and sell side service providers. This service covers 136 countries and 43,000 recurring indicators, which are updated on a real-time basis.

We are currently adding additional indicators/countries from Africa as well as expanding our coverage of Indicators in G20. In addition, it provided data of over 1,700 non-recurring indicators in 2020.

The EIS service includes historic data on recurring economic indicators. Recurring events include GDP data, unemployment releases, PMI numbers etc. Information on economic indicators, includes details of issuing agency and historical data series is made available depending on its availability.

The two components available for the Economic Calendar are the following:

1. Live Calendar - updated 24/5 immediately after the data is released and with limited history for recurring indicators.

2. Historical Database - Database of all recurring indicators (with complete history) and non-recurring indicators

Live Calendar can be embedded on client's website using iFrame or API. Historical Database can be made available via API or FTP.

Additional Features of the Economic Indicator Service - Delivery of unique newsfeed by using algorithms and analysts - Feed to client’s website with customized branding - Automatic feed to social media accounts, such as: Twitter and Facebook - Desktop ticker updates - Mobile App integration - Bespoke dashboards for macro-economic & industry reports And most importantly, clients can customize filters to get the specific economic indicators (e.g. for specific countries) they need.

A good retail broker can gain advantage by minimizing the time lag in real time information flow to retail investors vis-à-vis institutional investors. One way to achieve this is by providing access to clients with timely and accurate access to all major economic and other market moving announcements / data. - In order to minimize this disadvantage, many broker dealers provide economic calendar and news flows on their trading platforms. - We have developed two distinct products – Economic Calendar and Economic News to meet this requirement.

Contact Ilze Gouws, i.gouws@africadata.com for more information.

There is substantial evidence that voters’ choices are shaped by assessments of the state of the economy and that these assessments, in turn, are influenced by the news. But how does the economic news track the welfare of different income groups in an era of rising inequality? Whose economy does the news cover? Drawing on a large new dataset of U.S. news content, we demonstrate that the tone of the economic news strongly and disproportionately tracks the fortunes of the richest households, with little sensitivity to income changes among the non-rich. Further, we present evidence that this pro-rich bias emerges not from pro-rich journalistic preferences but, rather, from the interaction of the media’s focus on economic aggregates with structural features of the relationship between economic growth and distribution. The findings yield a novel explanation of distributionally perverse electoral patterns and demonstrate how distributional biases in the economy condition economic accountability.

News Sentiment Index Trend data was reported at 98.290 Index in 21 Mar 2025. This stayed constant from the previous number of 98.290 Index for 20 Mar 2025. News Sentiment Index Trend data is updated daily, averaging 101.205 Index from Jan 2005 (Median) to 21 Mar 2025, with 7047 observations. The data reached an all-time high of 125.840 Index in 03 May 2021 and a record low of 59.790 Index in 15 Mar 2020. News Sentiment Index Trend data remains active status in CEIC and is reported by The Bank of Korea. The data is categorized under Global Database’s South Korea – Table KR.S013: News Sentiment Index.

The news: The present dataset consists of 1789 news articles from the British daily newspaper The Guardian extracted using the content endpoint of The Guardian Open Platform. The news articles were, at the time, all the news corresponding to the sections: business, politics, society and world news for the entire month of January of 2013 (for a total of 1689 news) and an extra set of news articles randomly selected from the period Febrary of 2013 to December of 2015 (100 news articles). The first set of 1689 news articles was used for training and the second set of 100 news articles was used for testing in two publications: * Maisonnave, M., Delbianco, F., Tohmé, F.A. and Maguitman, A.G., 2018, November. A Supervised Term-Weighting Method and its Application to Variable Extraction from Digital Media. In XIX Simposio Argentino de Inteligencia Artificial (ASAI)-JAIIO 47 (CABA, 2018). * Maisonnave, M., Delbianco, F., Tohmé, F.A. and Maguitman, A.G., 2019. A Flexible Supervised Term-Weighting Technique and its Application to Variable Extraction and Information Retrieval. Inteligencia Artificial, 22(63), pp.61-80. The labels: The entire dataset was manually classified into two possible categories: economically relevant and irrelevant. The labelling process was carried out by two experts in Economy working in collaboration. For each news article, the full text of the article was analyzed to determine the category. The format: There are two different versions for this dataset: the reduced and the full versions. The former consists of a CSV and a readme file. The CSV file has five columns: "Instance No.", "Title", "Web Publication Date", "web URL" and "Economically Relevant". This version is reduced in columns as it does not include the full article texts; however, it does include all the 1789 instances. Requesting the full dataset: To gain access to the full version of the dataset (which includes the body of the news articles), please send an email to mariano.maisonnave@cs.uns.edu.ar with a copy to openplatform@theguardian.com requesting authorization and making it clear that the data set will not be used for commercial purposes.

Retail Sales in the United States increased 0.20 percent in February of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Information communication (media use) in general. Restrictions on information communication in general. Sociopolitical attitudes. Communication motives. Online access. Restrictions interpersonal and participatory communication. Quality assessments. 2002 federal election. information communication on September 11, 2001. Iraq. Anti-Americanism. Hartz IV. State elections. Climate change. Crises. Citizens´ initiatives.

Subjects: 1. The following subjects were asked identical questions repeatedly at each survey time point: Information communication (media use) in general: television set in the household; reception frequency of news programs on television; most frequently watched news program; reception frequency of political TV magazines; number of days per week with daily newspaper use; interest in the topics of politics, economics, local affairs; reading of news magazines or weekly newspapers; query on news magazines or weekly newspapers read (Spiegel, Focus, Die Zeit); assessment of the economic situation in the country; interest in politics; online access: General online access; online access at home; most frequently used online access; time of first Internet use; duration of use per week; memberships (trade union, party and name of party, citizens´ initiative, environmental organization or animal protection organization, other organizations, name of other organizations); active or passive membership; Internet activities related to active participation; political participation: participation in a demonstration and in a public meeting and frequency of participation in the past year; frequency of own speaking at a public meeting; contacts with politicians (online, in person, by phone, or by mail) and frequency of contact; online letters to the editor in the past year and frequency of online letters to the editor; traditional letters to the editor in the past year and frequency of traditional letters to the editor on political issues; participation in online signature gathering and frequency of participation; participation in traditional signature gathering and frequency of participation; political donations.

Demography: highest educational attainment; vocational training attainment; employment; age (year of birth); nationality; net household income; income group; party affiliation; party identification; occupational status; household size; sex; federal state.

1. In at least one or more waves, the following questions were asked: Duration of daily television use in minutes; daily newspapers read; interest in the topics of culture, sports and advertisements; use of the weekly newspaper Die Woche; recognition among friends for personal information about politics; political information from the newspaper enables participation and commitment to others (altruism); recognition among friends for personal information about politics in the media as well as personal benefit; restrictions Information conventional (foregoing newspaper for reasons of cost and lack of time, political reports in the newspaper are difficult to understand (political competence), too much effort); assessment of personal economic situation; general trust in persons; trust in institutions (Bundestag, authorities, federal government, courts, police, parties); opinion of media coverage (frequent reports on political scandals, negativism with regard to parties and politicians, support for democracy); satisfaction with democracy (school grades); value orientation (personal freedom versus security, personal freedom versus equality, security versus equality); value orientation (scale: respecting law and order, acknowledging others´ opinions, doing what others do, environmental awareness, Christian norms and values, pleasure, success, being technically up-to-date, thriftiness, doing nice things, having own children); psychological self-characterization based on pairs of opposites (Big 5); self-ranking left-right (split: right-left); media influence: Assessment of the political influence of the media and its development; media versus citizens have more influence on politics; political attitude (low responsiveness of politicians, low political influence conviction as citizens); restriction political effort and political competence; importance of selected communication motives: personal benefit, politics must pay off, altruism: personal commitment to others and social commitment, recognition: having a say in political discussions, political expertise is valued, participation: Knowing what´s happening in the country and where you live, not being surprised by political developments); online access at work, school, university, or other location; most used online access; Internet use in the last four weeks; type of online access at home; Internet use on the previous day and duration of use in minutes; restriction of Internet use (cost, poorly developed Internet technology, lack of skills, disruptions during Internet use (social pressure), Internet...

The Gross Domestic Product (GDP) in China expanded 1.60 percent in the fourth quarter of 2024 over the previous quarter. This dataset provides - China GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

News of topics of Econom & Finance, published by the Press Office of the Bilbao City Council.

Inflation Expectations in the United States increased to 3.10 percent in February from 3 percent in January of 2025. This dataset provides - United States Consumer Inflation Expectations- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Gross Domestic Product (GDP) in South Korea was worth 1712.79 billion US dollars in 2023, according to official data from the World Bank. The GDP value of South Korea represents 1.62 percent of the world economy. This dataset provides - South Korea GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset contains news headlines relevant to key forex pairs: AUDUSD, EURCHF, EURUSD, GBPUSD, and USDJPY. The data was extracted from reputable platforms Forex Live and FXstreet over a period of 86 days, from January to May 2023. The dataset comprises 2,291 unique news headlines. Each headline includes an associated forex pair, timestamp, source, author, URL, and the corresponding article text. Data was collected using web scraping techniques executed via a custom service on a virtual machine. This service periodically retrieves the latest news for a specified forex pair (ticker) from each platform, parsing all available information. The collected data is then processed to extract details such as the article's timestamp, author, and URL. The URL is further used to retrieve the full text of each article. This data acquisition process repeats approximately every 15 minutes.

To ensure the reliability of the dataset, we manually annotated each headline for sentiment. Instead of solely focusing on the textual content, we ascertained sentiment based on the potential short-term impact of the headline on its corresponding forex pair. This method recognizes the currency market's acute sensitivity to economic news, which significantly influences many trading strategies. As such, this dataset could serve as an invaluable resource for fine-tuning sentiment analysis models in the financial realm.

We used three categories for annotation: 'positive', 'negative', and 'neutral', which correspond to bullish, bearish, and hold sentiments, respectively, for the forex pair linked to each headline. The following Table provides examples of annotated headlines along with brief explanations of the assigned sentiment.

Examples of Annotated Headlines


    Forex Pair
    Headline
    Sentiment
    Explanation




    GBPUSD 
    Diminishing bets for a move to 12400 
    Neutral
    Lack of strong sentiment in either direction


    GBPUSD 
    No reasons to dislike Cable in the very near term as long as the Dollar momentum remains soft 
    Positive
    Positive sentiment towards GBPUSD (Cable) in the near term


    GBPUSD 
    When are the UK jobs and how could they affect GBPUSD 
    Neutral
    Poses a question and does not express a clear sentiment


    JPYUSD
    Appropriate to continue monetary easing to achieve 2% inflation target with wage growth 
    Positive
    Monetary easing from Bank of Japan (BoJ) could lead to a weaker JPY in the short term due to increased money supply


    USDJPY
    Dollar rebounds despite US data. Yen gains amid lower yields 
    Neutral
    Since both the USD and JPY are gaining, the effects on the USDJPY forex pair might offset each other


    USDJPY
    USDJPY to reach 124 by Q4 as the likelihood of a BoJ policy shift should accelerate Yen gains 
    Negative
    USDJPY is expected to reach a lower value, with the USD losing value against the JPY


    AUDUSD

    <p>RBA Governor Lowe’s Testimony High inflation is damaging and corrosive </p>

    Positive
    Reserve Bank of Australia (RBA) expresses concerns about inflation. Typically, central banks combat high inflation with higher interest rates, which could strengthen AUD.

Moreover, the dataset includes two columns with the predicted sentiment class and score as predicted by the FinBERT model. Specifically, the FinBERT model outputs a set of probabilities for each sentiment class (positive, negative, and neutral), representing the model's confidence in associating the input headline with each sentiment category. These probabilities are used to determine the predicted class and a sentiment score for each headline. The sentiment score is computed by subtracting the negative class probability from the positive one.

United States PPI: Svcs: MW: MR: PP: WP: News & Other Low Grade Wastepaper data was reported at 117.397 Dec1986=100 in Jan 2025. This stayed constant from the previous number of 117.397 Dec1986=100 for Dec 2024. United States PPI: Svcs: MW: MR: PP: WP: News & Other Low Grade Wastepaper data is updated monthly, averaging 96.200 Dec1986=100 from Dec 1986 (Median) to Jan 2025, with 456 observations. The data reached an all-time high of 374.900 Dec1986=100 in Jun 1995 and a record low of 40.400 Dec1986=100 in Sep 1991. United States PPI: Svcs: MW: MR: PP: WP: News & Other Low Grade Wastepaper data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I093: Producer Price Index: by Industry: Services: Merchant Wholesalers.

FIPE: Consumer Price Index (CPI): MoM: 1st Week: Personal Expenses: Hygiene and Beauty Articles: Hygiene Items: Paper Towel data was reported at 0.213 % in Jan 2025. This records an increase from the previous number of -0.431 % for Dec 2024. FIPE: Consumer Price Index (CPI): MoM: 1st Week: Personal Expenses: Hygiene and Beauty Articles: Hygiene Items: Paper Towel data is updated monthly, averaging 0.337 % from Feb 2000 (Median) to Jan 2025, with 300 observations. The data reached an all-time high of 6.943 % in Oct 2001 and a record low of -4.139 % in Dec 2000. FIPE: Consumer Price Index (CPI): MoM: 1st Week: Personal Expenses: Hygiene and Beauty Articles: Hygiene Items: Paper Towel data remains active status in CEIC and is reported by Institute of Economic Research Foundation. The data is categorized under Brazil Premium Database’s Inflation – Table BR.IB007: Consumer Price Index: June1994=100: São Paulo: São Paulo: Month-on-Month: First Week: FIPE.

The UK economy grew by 0.1 percent in the fourth quarter of 2024, compared with zero growth in the previous quarter. After ending 2023 in recession, the UK economy grew quite strongly in the first half of 2024, growing by 0.8 percent in Q1, and 0.4 percent in Q2, with growth slowing in the second half of the year. In the third quarter of 2020 the UK experienced record setting growth of 16.8 percent, which itself followed the record 20.3 percent contraction in Q2 2020. Growing economy key to Labour's plans Since winning the 2024 general election, the UK's Labour Party have seen their popularity fall substantially. In February 2025, the government's approval rating fell to a low of -54 percent, making them almost as disliked as the Conservatives just before the last election. A string of unpopular policies since taking office have taken a heavy toll on support for the government. Labour hope they can reverse their declining popularity by growing the economy, which has underperformed for several years, and when measured in GDP per capita, fell in 2023, and 2024. Steady labor market trends set to continue? After a robust 2022, the UK labor market remained resilient throughout 2023 and 2024. The unemployment rate at the end of 2024 was 4.4 percent, up from four percent at the start of the year, but still one of the lowest rates on record. While the average number of job vacancies has been falling since a May 2022 peak, there was a slight increase in January 2025 when compared with the previous month. The more concerning aspect of the labor market, from the government's perspective, are the high levels of economic inactivity due to long-term sickness, which reached a peak of 2.84 million in late 2023, and remained at high levels throughout 2024.

Gold increased 393.93 USD/t oz. or 15.01% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on March of 2025.

Precise and real-time measurements of economic prosperity are vital to a country’s economic system. This study aims to identify news topics that promoted economic prosperity in China from 2011–2021. By extracting economic topics from news text data, we construct a news coincidence index with comprehensive information and strong timeliness and reveal the trend of topic contribution. The Latent Dirichlet Allocation (LDA) topic model is applied to extract economic topics from the news. We use a mixed-frequency dynamic factor model to track rapid economic development without using high-frequency weekly and daily data. We identify the six most influential topics and investigate their evolution, which may serve as a reference for economic construction and regulation.

New Zealand Household Economic Survey: Average Weekly Household Expenditure: Recreation and Culture: News Paper, Books and Stationery: Books data was reported at 2.700 NZD in 2016. This records a decrease from the previous number of 3.300 NZD for 2013. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Recreation and Culture: News Paper, Books and Stationery: Books data is updated yearly, averaging 3.300 NZD from Jun 2007 (Median) to 2016, with 4 observations. The data reached an all-time high of 3.400 NZD in 2010 and a record low of 2.700 NZD in 2016. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Recreation and Culture: News Paper, Books and Stationery: Books 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.H010: Household Economic Survey: Average Weekly Household Expenditure.

FIPE: Consumer Price Index (CPI): MoM: 1st Week: Personal Expenses: Hygiene and Beauty Articles: Hygiene Items: Toothbrush data was reported at -0.091 % in Jan 2025. This records a decrease from the previous number of 0.430 % for Dec 2024. FIPE: Consumer Price Index (CPI): MoM: 1st Week: Personal Expenses: Hygiene and Beauty Articles: Hygiene Items: Toothbrush data is updated monthly, averaging 0.419 % from Feb 2000 (Median) to Jan 2025, with 300 observations. The data reached an all-time high of 4.524 % in Oct 2014 and a record low of -2.795 % in Jul 2012. FIPE: Consumer Price Index (CPI): MoM: 1st Week: Personal Expenses: Hygiene and Beauty Articles: Hygiene Items: Toothbrush data remains active status in CEIC and is reported by Institute of Economic Research Foundation. The data is categorized under Brazil Premium Database’s Inflation – Table BR.IB007: Consumer Price Index: June1994=100: São Paulo: São Paulo: Month-on-Month: First Week: FIPE.