100+ datasets found
  1. T

    China GDP

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). China GDP [Dataset]. https://tradingeconomics.com/china/gdp
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    China
    Description

    The Gross Domestic Product (GDP) in China was worth 17794.78 billion US dollars in 2023, according to official data from the World Bank. The GDP value of China represents 16.88 percent of the world economy. This dataset provides - China GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. h

    Alibaba and China outlook

    • datahub.hku.hk
    txt
    Updated Jul 12, 2022
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    Pui Hei Un (2022). Alibaba and China outlook [Dataset]. http://doi.org/10.25442/hku.20277909.v1
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    txtAvailable download formats
    Dataset updated
    Jul 12, 2022
    Dataset provided by
    HKU Data Repository
    Authors
    Pui Hei Un
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    China boasts the fastest growing GDP of all developed nations. Neighboring regions will have the largest middle class in history. China is building transport infrastructure to take advantage. Companies that capture market share in this region will be the largest and best performing over the next decade.

    Macro Tailwinds

    1) China GDP is the fastest growing of any major country with expected 5-6% over the next decade. If businesses (Alibaba, Tencent, etc..) maintain flat market share, that alone will drive 5-6% over the next decade. This is already higher than JP Morgans expectation (from their 13f filings) that the US market will perform between -5% and +5% over this coming decade.

    2) The Southeast Asia Region contains about 5 billion people. China is constructing the One Best One Road which will be completed by 2030. This will grant their businesses access to the fastest and largest growing middle class in human history. Over the next 10+ years this region will be home to the largest middle class in history, potentially over 10x that of North America and Europe, based on stock price in Google Sheets.

    Increasing average Chinese income.

    Chinese average income has more than doubled over the last decade. Having sustained the least economic damage from the virus, this trend is expected to continue. At this pace the average Chinese citizen salary will be at 50% of the average US by 2030 (with stock price in Excel provided by Finsheet via Finnhub Stock Api), with the difference being there are 4x more Chinese. Thus a market potential of almost 2x the US over the next decade.

    The Southeast Asia Region now contains the largest total number of billionaires, this number is expected to increase at an increasing rate as the region continues to develop. Over the next 10 years the largest trading route ever assembled will be completed, and China will be the primary provider of goods to 5b+ people

    2013 North America was home to the largest number of billionaires. This reversed with Asia over the following 5 years. This separation is expected to continue at an increasing rate. Why does this matter? Over the next 10 years the largest trading route ever assembled will be completed, and China will be the primary provider of goods to 5b+ people

    Companies that can easily access all customers in the world will perform best. This is good news for Apple, Microsoft, and Disney. Disney stock price in Excel right now is $70. But not for Amazon or Google which at first may sound contrary as the expectation is that Amazon "will take over the world". However one cannot do that without first conquering China. Firms like Alibaba and Tencent will have easy access to the global infrastructure being built by China in an attempt to speed up and ease trade in that region. The following guide shows how to get stock price in Excel.

    We will explore companies using a:

    1) Past

    2) Present (including financial statements)

    3) Future

    4) Story/Tailwind

    Method to find investing ideas in these regions. The tailwind is currently largest in the Asia region with 6%+ GDP growth according to the latest SEC form 4 from Edgar Company Search. This is relevant as investments in this region have a greater margin of safety; investing in a company that maintains flat market share should increase about 6% per year as the market growth size is so significant. The next article I will explore Alibaba (NYSE: BABA), and why I recently purchased a large position during the recent Ant Financial Crisis.

  3. T

    China GDP Annual Growth Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 19, 2025
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    TRADING ECONOMICS (2025). China GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/china/gdp-growth-annual
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1989 - Mar 31, 2025
    Area covered
    China
    Description

    The Gross Domestic Product (GDP) in China expanded 5.40 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides - China GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. T

    China GDP Growth Rate

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 16, 2025
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    TRADING ECONOMICS (2025). China GDP Growth Rate [Dataset]. https://tradingeconomics.com/china/gdp-growth
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2010 - Mar 31, 2025
    Area covered
    China
    Description

    The Gross Domestic Product (GDP) in China expanded 1.20 percent in the first quarter of 2025 over the previous quarter. This dataset provides - China GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  5. f

    Data from: Unpacking the Nuances of Agenda-Setting in the Online Media...

    • figshare.com
    zip
    Updated Apr 27, 2024
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    Yuzhou Tao; Mark Boukes; Andreas Schuck (2024). Unpacking the Nuances of Agenda-Setting in the Online Media Environment: An Hourly-Event Approach in the Context of Chinese Economic News [Dataset]. http://doi.org/10.6084/m9.figshare.25497556.v1
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    zipAvailable download formats
    Dataset updated
    Apr 27, 2024
    Dataset provided by
    figshare
    Authors
    Yuzhou Tao; Mark Boukes; Andreas Schuck
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This repository contains the appendix, the dataset, and the analysis files for the study "Unpacking the Nuances of Agenda-Setting in the Online Media Environment: An Hourly-Event Approach in the Context of Chinese Economic News."Except for the appendix, the "Data" folder contains 36 csv-format files, each for one specific news event. In each file, the first column "hour" denotes hourly intervals of the data, and the 2–6 columns denote the endogenous variables included in the VAR models (i.e., the raw volume of coverage or discussion in different groups concerning media, the neitizens, and other institutions of interest). The datasets have been aggregated by 19-hour lags each day, resulting in 266 lags for the 14-day time window."AnalysisFiles" folder contains the R code and copy results for analysis, in which:-TimeSeriesAnalysis" contains the R code for the time-series analysis of this study. Besides, this folder also contains copies of the results for VAR models.-"t-test & ANOVA" contains the results of 36 separate VAR models and the R code for the t-test and ANOVA for the event feature on the influence of agenda-setting. Besides, this folder also contains copies of the results of t-tests and ANOVA.-"Figure" contains the R code for creating Figure 1 and Figure 2 in the main text of this study and also contains copies of these two figures.

  6. China CN: Book, Magazine, Newspaper: Taobao Online Sales: Market Share

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Book, Magazine, Newspaper: Taobao Online Sales: Market Share [Dataset]. https://www.ceicdata.com/en/china/taobao-and-tmall-online-sales-cultural-and-entertainment-article/cn-book-magazine-newspaper-taobao-online-sales-market-share
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 1, 2019 - Aug 1, 2020
    Area covered
    China
    Variables measured
    Domestic Trade
    Description

    China Book, Magazine, Newspaper: Taobao Online Sales: Market Share data was reported at 0.150 % in Aug 2020. This records a decrease from the previous number of 0.180 % for Jul 2020. China Book, Magazine, Newspaper: Taobao Online Sales: Market Share data is updated monthly, averaging 0.150 % from Jun 2019 (Median) to Aug 2020, with 15 observations. The data reached an all-time high of 0.220 % in Feb 2020 and a record low of 0.080 % in Dec 2019. China Book, Magazine, Newspaper: Taobao Online Sales: Market Share data remains active status in CEIC and is reported by Moojing Market Intelligence. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales: Cultural and Entertainment Article.

  7. w

    Dataset - Education-Economic aspects-China in the news

    • workwithdata.com
    Updated Aug 30, 2024
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    (2024). Dataset - Education-Economic aspects-China in the news [Dataset]. https://www.workwithdata.com/news?pk=Education-Economic+aspects-China
    Explore at:
    Dataset updated
    Aug 30, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    Dataset - Education-Economic aspects-China in the news

  8. C

    China Book, Newspaper Published Printing: YoY: Current Asset

    • ceicdata.com
    Updated Dec 15, 2023
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    CEICdata.com (2023). China Book, Newspaper Published Printing: YoY: Current Asset [Dataset]. https://www.ceicdata.com/en/china/printing-book-newspaper-and-published-printing/book-newspaper-published-printing-yoy-current-asset
    Explore at:
    Dataset updated
    Dec 15, 2023
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 1, 2014 - Oct 1, 2015
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Book, Newspaper Published Printing: YoY: Current Asset data was reported at 5.355 % in Oct 2015. This records an increase from the previous number of 3.479 % for Sep 2015. China Book, Newspaper Published Printing: YoY: Current Asset data is updated monthly, averaging 11.170 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 20.430 % in Feb 2008 and a record low of 2.906 % in Apr 2015. China Book, Newspaper Published Printing: YoY: Current Asset data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHK: Printing: Book, Newspaper and Published Printing.

  9. C

    China Book, Newspaper Published Printing: Current Asset

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China Book, Newspaper Published Printing: Current Asset [Dataset]. https://www.ceicdata.com/en/china/printing-book-newspaper-and-published-printing/book-newspaper-published-printing-current-asset
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 1, 2014 - Oct 1, 2015
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Book, Newspaper Published Printing: Current Asset data was reported at 46.904 RMB bn in Oct 2015. This records an increase from the previous number of 45.723 RMB bn for Sep 2015. China Book, Newspaper Published Printing: Current Asset data is updated monthly, averaging 36.172 RMB bn from Dec 1998 (Median) to Oct 2015, with 102 observations. The data reached an all-time high of 46.904 RMB bn in Oct 2015 and a record low of 9.789 RMB bn in Dec 1998. China Book, Newspaper Published Printing: Current Asset data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHK: Printing: Book, Newspaper and Published Printing.

  10. GDP composition in China 2024, by industry

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). GDP composition in China 2024, by industry [Dataset]. https://www.statista.com/statistics/1124008/china-composition-of-gdp-by-industry/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    China
    Description

    In 2024, the industrial sector generated around **** percent of China's GDP. It was by far the largest contributor, followed by the wholesale and retail industry that was responsible for **** percent and the financial sector that produced *** percent of the country's economic output. Since China is the second-largest economy in the world, the industrial sector’s output alone exceeded the entire economy of Germany. China’s export and investment-driven economy China economic development of the early 2000s was mainly driven by investments and exports. A country's gross domestic product (GDP) consists of three parts: Consumption, investments, and net exports. Typically, emerging economies rely mainly on investments and exports for growing their economy and China was no exception. By the end of the 2010s, investments fueled more than 40 percent of China's GDP and exports were responsible for almost another 20 percent. In comparison to that, in most developed economies, investments make up only 20 percent of the economic output. Instead, the main economic driver is consumption. The economic structure in China created a huge industrial sector. For instance, China was the biggest steel exporter, the leading merchandise exporter, and exported more than a third of global household goods. Great push towards transformation In early 2018, the Chinese government proclaimed that the country's economy had reached a new development stage where consumption and services replaced investment and manufacturing as the main driver of economic growth. The fear of the middle-income trap and changing demographics were the main reasons for Beijing's emphasis on economic transformation. Although incomes in China had not stagnated, policymakers attempted to preempt “getting stuck” by steering the economy towards high-quality growth and consumption-focus. Furthermore, a society that was older and had a higher share of middle-class population had different requirements to the economy. In the case of a successful transformation, China's economy would become more similar to those of developed nations. For instance, the financial sector was the largest contributor to the United States economy. In the case of Germany, the service sector generates the largest share of gross domestic product.

  11. w

    Dataset of news about Education-Economic aspects-China

    • workwithdata.com
    Updated May 16, 2025
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    Work With Data (2025). Dataset of news about Education-Economic aspects-China [Dataset]. https://www.workwithdata.com/datasets/news?f=1&fcol0=page_name&fop0=%3D&fval0=Education-Economic+aspects-China
    Explore at:
    Dataset updated
    May 16, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    This dataset is about news. It has 1 row and is filtered where the keywords includes Education-Economic aspects-China. It features 10 columns including source, publication date, section, and news link.

  12. C

    China Book, Newspaper Published Printing: Current Asset Turnover Ratio

    • ceicdata.com
    Updated Jun 13, 2017
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    CEICdata.com (2017). China Book, Newspaper Published Printing: Current Asset Turnover Ratio [Dataset]. https://www.ceicdata.com/en/china/printing-book-newspaper-and-published-printing/book-newspaper-published-printing-current-asset-turnover-ratio
    Explore at:
    Dataset updated
    Jun 13, 2017
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 1, 2014 - Oct 1, 2015
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Book, Newspaper Published Printing: Current Asset Turnover Ratio data was reported at 2.248 Times in Oct 2015. This records a decrease from the previous number of 2.273 Times for Sep 2015. China Book, Newspaper Published Printing: Current Asset Turnover Ratio data is updated monthly, averaging 2.168 Times from Dec 2006 (Median) to Oct 2015, with 83 observations. The data reached an all-time high of 3.909 Times in Dec 2012 and a record low of 0.265 Times in Feb 2008. China Book, Newspaper Published Printing: Current Asset Turnover Ratio data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHK: Printing: Book, Newspaper and Published Printing.

  13. China Book, Newspaper Published Printing: Financial Expense: ytd

    • ceicdata.com
    Updated Dec 15, 2019
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    CEICdata.com (2019). China Book, Newspaper Published Printing: Financial Expense: ytd [Dataset]. https://www.ceicdata.com/en/china/printing-book-newspaper-and-published-printing/book-newspaper-published-printing-financial-expense-ytd
    Explore at:
    Dataset updated
    Dec 15, 2019
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 1, 2014 - Oct 1, 2015
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Book, Newspaper Published Printing: Financial Expense: Year to Date data was reported at 0.764 RMB bn in Oct 2015. This records an increase from the previous number of 0.700 RMB bn for Sep 2015. China Book, Newspaper Published Printing: Financial Expense: Year to Date data is updated monthly, averaging 0.364 RMB bn from Dec 2001 (Median) to Oct 2015, with 99 observations. The data reached an all-time high of 0.999 RMB bn in Dec 2014 and a record low of 0.072 RMB bn in Feb 2007. China Book, Newspaper Published Printing: Financial Expense: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHK: Printing: Book, Newspaper and Published Printing.

  14. T

    China Consumer Confidence

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 14, 2024
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    TRADING ECONOMICS (2024). China Consumer Confidence [Dataset]. https://tradingeconomics.com/china/consumer-confidence
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Mar 14, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1991 - Apr 30, 2025
    Area covered
    China
    Description

    Consumer Confidence in China decreased to 87.50 points in March from 88.40 points in February of 2025. This dataset provides - China Consumer Confidence - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. C

    China Book, Newspaper Published Printing: YoY: Loss Amount: ytd

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). China Book, Newspaper Published Printing: YoY: Loss Amount: ytd [Dataset]. https://www.ceicdata.com/en/china/printing-book-newspaper-and-published-printing
    Explore at:
    Dataset updated
    Mar 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 1, 2014 - Oct 1, 2015
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    Book, Newspaper Published Printing: YoY: Loss Amount: ytd data was reported at 38.003 % in Oct 2015. This records a decrease from the previous number of 40.453 % for Sep 2015. Book, Newspaper Published Printing: YoY: Loss Amount: ytd data is updated monthly, averaging 14.780 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 43.580 % in Nov 2008 and a record low of -7.450 % in Aug 2010. Book, Newspaper Published Printing: YoY: Loss Amount: ytd data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHK: Printing: Book, Newspaper and Published Printing.

  16. China Book, Newspaper Published Printing: Profit to Cost Ratio

    • ceicdata.com
    Updated Sep 15, 2020
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    CEICdata.com (2019). China Book, Newspaper Published Printing: Profit to Cost Ratio [Dataset]. https://www.ceicdata.com/en/china/printing-book-newspaper-and-published-printing/book-newspaper-published-printing-profit-to-cost-ratio
    Explore at:
    Dataset updated
    Sep 15, 2020
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 1, 2014 - Oct 1, 2015
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Book, Newspaper Published Printing: Profit to Cost Ratio data was reported at 5.167 % in Oct 2015. This records an increase from the previous number of 5.050 % for Sep 2015. China Book, Newspaper Published Printing: Profit to Cost Ratio data is updated monthly, averaging 4.510 % from Dec 2006 (Median) to Oct 2015, with 83 observations. The data reached an all-time high of 6.593 % in Dec 2010 and a record low of 0.742 % in Feb 2009. China Book, Newspaper Published Printing: Profit to Cost Ratio data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHK: Printing: Book, Newspaper and Published Printing.

  17. News Events Data in Asia ( Techsalerator)

    • datarade.ai
    Updated Jul 9, 2024
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    Techsalerator (2024). News Events Data in Asia ( Techsalerator) [Dataset]. https://datarade.ai/data-products/news-events-data-in-asia-techsalerator-techsalerator
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 9, 2024
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    United Arab Emirates, Kyrgyzstan, Timor-Leste, Brunei Darussalam, Kazakhstan, Hong Kong, Uzbekistan, Maldives, China, Iran (Islamic Republic of)
    Description

    Techsalerator’s News Event Data in Asia offers a detailed and expansive dataset designed to provide businesses, analysts, journalists, and researchers with comprehensive insights into significant news events across the Asian continent. This dataset captures and categorizes major events reported from a diverse range of news sources, including press releases, industry news sites, blogs, and PR platforms, offering valuable perspectives on regional developments, economic shifts, political changes, and cultural occurrences.

    Key Features of the Dataset: Extensive Coverage:

    The dataset aggregates news events from a wide range of sources such as company press releases, industry-specific news outlets, blogs, PR sites, and traditional media. This broad coverage ensures a diverse array of information from multiple reporting channels. Categorization of Events:

    News events are categorized into various types including business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly find and analyze information relevant to their interests or sectors. Real-Time Updates:

    The dataset is updated regularly to include the most current events, ensuring users have access to the latest news and can stay informed about recent developments as they happen. Geographic Segmentation:

    Events are tagged with their respective countries and regions within Asia. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

    Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps users understand the context and significance of each event. Historical Data:

    The dataset includes historical news event data, enabling users to track trends and perform comparative analysis over time. This feature supports longitudinal studies and provides insights into the evolution of news events. Advanced Search and Filter Options:

    Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. Asian Countries and Territories Covered: Central Asia: Kazakhstan Kyrgyzstan Tajikistan Turkmenistan Uzbekistan East Asia: China Hong Kong (Special Administrative Region of China) Japan Mongolia North Korea South Korea Taiwan South Asia: Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Southeast Asia: Brunei Cambodia East Timor (Timor-Leste) Indonesia Laos Malaysia Myanmar (Burma) Philippines Singapore Thailand Vietnam Western Asia (Middle East): Armenia Azerbaijan Bahrain Cyprus Georgia Iraq Israel Jordan Kuwait Lebanon Oman Palestine Qatar Saudi Arabia Syria Turkey (partly in Europe, but often included in Asia contextually) United Arab Emirates Yemen Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and identify emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across Asia, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to Asian news and events. Techsalerator’s News Event Data in Asia is a crucial resource for accessing and analyzing significant news events across the continent. By offering detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

  18. T

    China Inflation Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 9, 2025
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    TRADING ECONOMICS (2025). China Inflation Rate [Dataset]. https://tradingeconomics.com/china/inflation-cpi
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1986 - May 31, 2025
    Area covered
    China
    Description

    Inflation Rate in China remained unchanged at -0.10 percent in May. This dataset provides - China Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  19. T

    China GDP per capita

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 14, 2024
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    TRADING ECONOMICS (2024). China GDP per capita [Dataset]. https://tradingeconomics.com/china/gdp-per-capita
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Mar 14, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    China
    Description

    The Gross Domestic Product per capita in China was last recorded at 13121.68 US dollars in 2024. The GDP per Capita in China is equivalent to 104 percent of the world's average. This dataset provides - China GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  20. China CN: Culture and Related Industry: ytd: % of Operating Revenue: Core...

    • ceicdata.com
    Updated Sep 15, 2024
    + more versions
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    CEICdata.com (2024). China CN: Culture and Related Industry: ytd: % of Operating Revenue: Core Areas: News Information Services [Dataset]. https://www.ceicdata.com/en/china/financial-data-of-culture-and-related-industry/cn-culture-and-related-industry-ytd--of-operating-revenue-core-areas-news-information-services
    Explore at:
    Dataset updated
    Sep 15, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    China
    Description

    China Culture and Related Industry: Year to Date: % of Operating Revenue: Core Areas: News Information Services data was reported at 13.900 % in Mar 2025. This records an increase from the previous number of 13.300 % for Dec 2024. China Culture and Related Industry: Year to Date: % of Operating Revenue: Core Areas: News Information Services data is updated quarterly, averaging 11.800 % from Jun 2019 (Median) to Mar 2025, with 24 observations. The data reached an all-time high of 13.900 % in Mar 2025 and a record low of 7.400 % in Jun 2019. China Culture and Related Industry: Year to Date: % of Operating Revenue: Core Areas: News Information Services data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AVA: Financial Data of Culture and Related Industry.

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Email
Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS (2025). China GDP [Dataset]. https://tradingeconomics.com/china/gdp

China GDP

China GDP - Historical Dataset (1960-12-31/2023-12-31)

Explore at:
295 scholarly articles cite this dataset (View in Google Scholar)
csv, json, excel, xmlAvailable download formats
Dataset updated
May 15, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 31, 1960 - Dec 31, 2023
Area covered
China
Description

The Gross Domestic Product (GDP) in China was worth 17794.78 billion US dollars in 2023, according to official data from the World Bank. The GDP value of China represents 16.88 percent of the world economy. This dataset provides - China GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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