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.

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.

Graph and download economic data for Personal Consumption Expenditures: Goods for New York (NYPCEG) from 1997 to 2023 about PCE, NY, consumption expenditures, consumption, personal, goods, and USA.

This dataset is about news. It has 1 row and is filtered where the keywords includes Economic assistance-Ghana. It features one column called news link.

United States SB: RI: Outlook: BP: Introduce New Goods/Services data was reported at 12.900 % in 11 Apr 2022. This records a decrease from the previous number of 16.000 % for 04 Apr 2022. United States SB: RI: Outlook: BP: Introduce New Goods/Services data is updated weekly, averaging 13.000 % from Feb 2022 (Median) to 11 Apr 2022, with 7 observations. The data reached an all-time high of 20.900 % in 14 Feb 2022 and a record low of 10.800 % in 28 Mar 2022. United States SB: RI: Outlook: BP: Introduce New Goods/Services data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S049: Small Business Pulse Survey: by State: Northeast Region: Weekly, Beg Monday (Discontinued).

New Caledonia NC: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: South Asia data was reported at 0.687 % in 2016. This records a decrease from the previous number of 0.738 % for 2015. New Caledonia NC: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: South Asia data is updated yearly, averaging 0.294 % from Dec 1964 (Median) to 2016, with 42 observations. The data reached an all-time high of 2.882 % in 2011 and a record low of 0.089 % in 1980. New Caledonia NC: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: South Asia data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Caledonia – Table NC.World Bank: Imports. Merchandise imports from low- and middle-income economies in South Asia are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the South Asia region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

New Caledonia NC: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: South Asia data was reported at 3.960 % in 2016. This records an increase from the previous number of 3.922 % for 2015. New Caledonia NC: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: South Asia data is updated yearly, averaging 1.140 % from Dec 1976 (Median) to 2016, with 36 observations. The data reached an all-time high of 5.619 % in 1985 and a record low of 0.001 % in 1976. New Caledonia NC: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: South Asia data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Caledonia – Table NC.World Bank: Exports. Merchandise exports to low- and middle-income economies in South Asia are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the South Asia region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Dataset - Economic risks of climate change : an American prospectus in the news

This data package includes the PIIE dataset to replicate the data and charts presented in The rise of US economic sanctions on China: Analysis of a new PIIE dataset by Martin Chorzempa, Mary E. Lovely, and Christine Wan, PIIE Policy Brief 24-14.

If you use the dataset, please cite as: Chorzempa, Martin, Mary E. Lovely, and Christine Wan. 2024. The rise of US economic sanctions on China: Analysis of a new PIIE dataset, PIIE Policy Brief 24-14. Washington, DC: Peterson Institute for International Economics.

Graph and download economic data for Personal Consumption Expenditures: Goods: Durable Goods for New England BEA Region (NENGPCEDURG) from 1997 to 2023 about New England BEA Region, PCE, durable goods, consumption expenditures, consumption, personal, goods, and USA.

Treasury media release 2010

Graph and download economic data for Real Gross Domestic Product: Nondurable Goods Manufacturing (311-316, 322-326) in the New England BEA Region (NENGNDURMANRGSP) from 1997 to 2024 about New England BEA Region, nondurable goods, GSP, private industries, goods, private, manufacturing, real, industry, GDP, and USA.

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.

ABSTRACT This article seeks to show two interconnected phenomena in China. The first is a historical process that took place in the past 40 years involving institutional and qualitative changes in the state-controlled portion of the Chinese economy. Such changes have brought about new and superior forms of economic planning, based on which a higher stage of development pattern has emerged. We call this new development pattern "New Projectment Economy" and it synthesizes a series of state capacities built over time. The second phenomenon relates to how the state capacities created in the past decades have allowed the country to show adaptive flexibility and rapid efficiency in the containment of Covid-19 crisis internally and thus explain China's successful response in the fight against the coronavirus. Such phenomena, pari passu, show China's potential and projection as an international political actor.

Leading Economic Index Guatemala increased 3.80 percent in May of 2025 over the same month in the previous year. This dataset provides - Guatemala Leading Economic Index- actual values, historical data, forecast, chart, statistics, economic calendar and news.

India Foreign Exchange Rate: Imported Good: New Zealand Dollar data was reported at 50.350 INR/NZD in 20 Nov 2018. This stayed constant from the previous number of 50.350 INR/NZD for 19 Nov 2018. India Foreign Exchange Rate: Imported Good: New Zealand Dollar data is updated daily, averaging 47.600 INR/NZD from Jun 2012 (Median) to 20 Nov 2018, with 2357 observations. The data reached an all-time high of 53.500 INR/NZD in 05 Sep 2013 and a record low of 42.300 INR/NZD in 20 Aug 2015. India Foreign Exchange Rate: Imported Good: New Zealand Dollar data remains active status in CEIC and is reported by Central Board of Indirect Taxes and Customs. The data is categorized under India Premium Database’s Interest and Foreign Exchange Rates – Table IN.MC004: Foreign Exchange Rate: Imported Good.

The Chinese government is vigorously implementing the rural revitalization strategy and accelerating the process of new-type urbanization. The rapid development of the rural digital economy has emerged as a new driving force for new-type urbanization. This study aims to explore how the rural digital economy impacts China’s new-type urbanization from direct, heterogeneous, and indirect perspectives. Using the provincial-level panel data in China from 2014 to 2022, a mixed-methods approach is employed for the empirical research. The CRITIC and Entropy TOPSIS are used to assess the comprehensive development level and temporal characteristics of the rural digital economy and new-type urbanization. Moreover, a global-local auto-correlation analysis is carried out to depict the spatial distribution of the two variables. Subsequently, a two-way fixed effects model is constructed to verify the direct impact of the rural digital economy on new-type urbanization, as well as its structural and spatial heterogeneity characteristics. Finally, an mediating effect model is established to explore the impact paths through which the rural digital economy impacts new-type urbanization. The results show that the rural digital economy has significantly promoted new-type urbanization. Specifically, rural digital infrastructure, digital transformation of agriculture, agricultural production service informatization have a significant positive effect, while the role of rural life digitization is not significant. The rural digital economy has more significant positive impact on population agglomeration and economic growth, followed by social public service, but has no significant impact on ecological environmental protection and urban-rural coordination. Additionally, the qualitative analysis identifies geographical region, poverty, demographic structure and social equality as notable influencing factors in this impact. Further mechanism analysis result indicates that the rural digital economy impacts new-type urbanization through rural human capital improvement, agricultural economic growth and rural industrial structure upgrading. This research contributes to the existing body of knowledge by providing the practical path of rural development to promote new-type urbanization in the context of the digital economy, also clarifies the weak points and key links in this process. It also highlights the need for further research into the institutional factors that influence this relationship to enhances the policy applicability.

Economic Optimism Index in South Korea increased to 92.80 points in June from 92.20 points in May of 2025. This dataset provides - South Korea Economic Optimism Index- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Please refer to: https://data.imf.org/en/news/accessing%20international%20financial%20statistics

United States SBP: Outlook: Business Practices: Introduce New Goods/Services data was reported at 12.700 % in 11 Apr 2022. This records an increase from the previous number of 12.400 % for 04 Apr 2022. United States SBP: Outlook: Business Practices: Introduce New Goods/Services data is updated weekly, averaging 12.200 % from Feb 2022 (Median) to 11 Apr 2022, with 9 observations. The data reached an all-time high of 12.700 % in 11 Apr 2022 and a record low of 11.900 % in 14 Mar 2022. United States SBP: Outlook: Business Practices: Introduce New Goods/Services data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S033: Small Business Pulse Survey: Weekly, Beg Monday (Discontinued).