100+ datasets found
  1. T

    China GDP

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 14, 2024
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    TRADING ECONOMICS (2024). China GDP [Dataset]. https://tradingeconomics.com/china/gdp
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    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 (GDP) in China was worth 18743.80 billion US dollars in 2024, according to official data from the World Bank. The GDP value of China represents 17.65 percent of the world economy. This dataset provides - China GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. T

    China GDP Annual Growth Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 15, 2025
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    TRADING ECONOMICS (2025). China GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/china/gdp-growth-annual
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    xml, csv, json, excelAvailable download formats
    Dataset updated
    Jul 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, 1989 - Sep 30, 2025
    Area covered
    China
    Description

    The Gross Domestic Product (GDP) in China expanded 4.80 percent in the third 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.

  3. GDP composition in China 2024, by industry

    • statista.com
    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/
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    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.

  4. T

    China GDP Growth Rate

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 20, 2025
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    TRADING ECONOMICS (2025). China GDP Growth Rate [Dataset]. https://tradingeconomics.com/china/gdp-growth
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    excel, json, xml, csvAvailable download formats
    Dataset updated
    Oct 20, 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 - Sep 30, 2025
    Area covered
    China
    Description

    The Gross Domestic Product (GDP) in China expanded 1.10 percent in the third 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. Iron Ore Resilience Amid US Tariffs on China - News and Statistics -...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Oct 1, 2025
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    IndexBox Inc. (2025). Iron Ore Resilience Amid US Tariffs on China - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/iron-ore-defies-us-tariff-impact-on-chinas-economy/
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    docx, xlsx, doc, pdf, xlsAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Oct 1, 2025
    Area covered
    United States, China, Australia
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    Iron ore and steel sectors in China show resilience despite US tariffs, driven by strong domestic demand and infrastructure needs.

  6. Vale Faces Market Challenges amid China Economic Woes - News and Statistics...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Oct 1, 2025
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    IndexBox Inc. (2025). Vale Faces Market Challenges amid China Economic Woes - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/vale-faces-market-challenges-amid-china-economic-woes/
    Explore at:
    doc, xls, xlsx, docx, pdfAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Oct 1, 2025
    Area covered
    Brazil, China
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    Vale SA faces financial challenges as Chinese economic issues lead to falling iron ore prices, prompting a strategic pivot in its operations.

  7. 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
    Figsharehttp://figshare.com/
    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.

  8. F

    Nasdaq China New Economy Top 50 ESG TR

    • fred.stlouisfed.org
    json
    Updated Nov 14, 2025
    + more versions
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    (2025). Nasdaq China New Economy Top 50 ESG TR [Dataset]. https://fred.stlouisfed.org/series/NASDAQNQCNNEWT
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 14, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    Graph and download economic data for Nasdaq China New Economy Top 50 ESG TR (NASDAQNQCNNEWT) from 2018-03-12 to 2025-11-14 about 1 to 49, NASDAQ, China, new, and indexes.

  9. C

    China CN: New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily...

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily Average: YoY [Dataset]. https://www.ceicdata.com/en/china/entryexit/cn-new-years-day-holiday-entryexit-entryexit-passenger-daily-average-yoy
    Explore at:
    Dataset updated
    Dec 15, 2024
    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
    Dec 1, 2025
    Area covered
    China
    Description

    China New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily Average: YoY data was reported at 4.500 % in 2025. China New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily Average: YoY data is updated yearly, averaging 4.500 % from Dec 2025 (Median) to 2025, with 1 observations. The data reached an all-time high of 4.500 % in 2025 and a record low of 4.500 % in 2025. China New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily Average: YoY data remains active status in CEIC and is reported by National Immigration Administration. The data is categorized under China Premium Database’s Holiday Economy – Entry-Exit.

  10. M

    Imports USD y/y - economic news from China

    • mql5.com
    csv
    Updated Nov 23, 2025
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    MQL5 Community (2025). Imports USD y/y - economic news from China [Dataset]. https://www.mql5.com/en/economic-calendar/china/imports-usd-yy
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 23, 2025
    Dataset authored and provided by
    MQL5 Community
    Time period covered
    Nov 7, 2022 - Dec 10, 2024
    Area covered
    China
    Description

    Overview with Chart & Report: China Imports USD y/y reflect a percentage change in the dollar value of goods purchased by residents from non-residents in the reported period compared to the previous period. A buyer in import

  11. T

    China GDP per capita

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 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
    Dec 15, 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.

  12. Variables descriptive statistics.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
    + more versions
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    Xuefeng Zheng; Xiufan Zhang; Decheng Fan (2023). Variables descriptive statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0284803.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xuefeng Zheng; Xiufan Zhang; Decheng Fan
    License

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

    Description

    China is in a critical stage of economic growth mode transformation. The digital transformation of the manufacturing industry may create new impetus and new models for economic growth. Taking the manufacturing industry of 25 prefecture-level cities in the Yangtze River Delta region as the research object, we explore the digital transformation process of the manufacturing industry and verifies its theoretical mechanism of promoting economic growth through the industrial structure. A panel model based on the improved Feder two-sector model and a multiple mediating effect model are established to explore the dynamic mechanism of manufacturing digital transformation to promote economic growth through industrial restructuring. The results show that the digital transformation of the manufacturing industry in the Yangtze River Delta region of China is relatively high, and the speed of digital transformation has been accelerating in recent years. The digital transformation of the manufacturing industry can promote the change in industrial structure and form a new driving force for economic growth. The key is to improve the level of industrial structure and extend the length of the industrial chain. Based on these, we propose measures to promote the transformation and upgrading of industrial structure for the sustainable development of China’s economy.

  13. New Zealand’s daily export trade with China

    • kaggle.com
    zip
    Updated Mar 15, 2020
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    Marília Prata (2020). New Zealand’s daily export trade with China [Dataset]. https://www.kaggle.com/mpwolke/cusersmarildownloadsimportschinacsv
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    zip(2934 bytes)Available download formats
    Dataset updated
    Mar 15, 2020
    Authors
    Marília Prata
    Area covered
    New Zealand, China
    Description

    Context

    This Dataset presents New Zealand’s daily export trade with China from 27 January 2020. It compares 2020 values with those from previous years, to show the potential impacts of COVID-19 since its outbreak in late 2019.

    We advise caution in making decisions based on this experimental data. Please send any comments to overseastrade@stats.govt.nz.

    https://www.stats.govt.nz/experimental/provisional-indications-effects-of-coronavirus-outbreak-on-new-zealand-trade-with-china

    Content

    Imports from China The cumulative total value of imports from China alone in the past four weeks and one day to 29 February 2020 was about $775 million . This is about $169 million less than for the same period in 2019 .

    Daily trade for 1 February–29 February 2020 (published 10 March 2020) Imports from China (experimental, published 10 March 2020) CSV files include imports from China, including key exports of meat, seafood, dairy, and forestry products. The data is provisional and should be regarded as an early, indicative estimate of intentions to export only, subject to revision. These are not official statistics, but an effort to provide the latest available trade data at a time of heightened interest in trade with China. The data compares the four weeks and a day up to 29 February 2020 against previous years. This allows for an estimate to be made of what may have happened to exports, if they had followed typical patterns in the past four weeks.

    Acknowledgements

    https://www.stats.govt.nz/experimental/provisional-indications-effects-of-coronavirus-outbreak-on-new-zealand-trade-with-china Photo by Andy Li on Unsplash

    Inspiration

    The Global trade impact of the Coronavirus (COVID-19) Epidemic . “The spread of the new coronavirus is a public health crisis that could pose a serious risk to the macro economy through the halt in production activities, interruptions of people's movement and cut-off of supply chains” - Japanese Finance Minister Taro Aso. G20 gathering in Riyadh, Saudi Arabia, February 24, 2020. " Besides its worrying effects on human life, the novel strain of coronavirus (COVID-19) has the potential to significantly slowdown not only the Chinese economy but also the global economy. China has become the central manufacturing hub of many global business operations. Any disruption of China’s output is expected to have repercussions elsewhere through regional and global value chains. https://unctad.org/en/PublicationsLibrary/ditcinf2020d1.pdf

  14. f

    Regional heterogeneity estimation results.

    • figshare.com
    xls
    Updated May 16, 2024
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    Yuhu Cui; Hu Tian; Dong An; Yonghua Jia (2024). Regional heterogeneity estimation results. [Dataset]. http://doi.org/10.1371/journal.pone.0298389.t008
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    xlsAvailable download formats
    Dataset updated
    May 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yuhu Cui; Hu Tian; Dong An; Yonghua Jia
    License

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

    Description

    With the development of China’s economy entering a new stage, the quality of life, which centers on the well-being of residents, provides an essential hand in promoting the transformation of the regional economy from high-speed development to high-quality development. Based on a panel threshold regression model, we examine in this paper whether quality of life helps regional economies realize developmental convergence. The research shows that: (1) The quality of life overall can promote regional economic development and passes the series test with relatively robust results. (2) The quality of life has a non-linear effect on regional economic growth, which is mainly manifested in the fact that the impact is more significant in regions with higher levels of quality of life and weaker in regions with lagging quality of life and may widen the gap between regions at the same time. (3) We categorize the study regions to test further regional heterogeneity based on regional location and development status. At the Quality of Life Level-I regions, their influence on economic development has a more substantial pulling effect. Therefore, each region should seize the strategic opportunity to improve the quality of life, focus on the balanced development of the quality of life, strengthen policy support and social security, and strive to promote the coordinated development of China’s regional economy.

  15. C

    China CN: New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily...

    • ceicdata.com
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    CEICdata.com, China CN: New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily Average [Dataset]. https://www.ceicdata.com/en/china/entryexit/cn-new-years-day-holiday-entryexit-entryexit-passenger-daily-average
    Explore at:
    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
    Dec 1, 2018 - Dec 1, 2025
    Area covered
    China
    Description

    China New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily Average data was reported at 1,803.000 Person-Time th in 2025. This records an increase from the previous number of 1,726.000 Person-Time th for 2024. China New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily Average data is updated yearly, averaging 1,758.000 Person-Time th from Dec 2018 (Median) to 2025, with 6 observations. The data reached an all-time high of 1,900.000 Person-Time th in 2019 and a record low of 303.000 Person-Time th in 2023. China New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily Average data remains active status in CEIC and is reported by National Immigration Administration. The data is categorized under China Premium Database’s Holiday Economy – Entry-Exit.

  16. C

    China CN: New Year's Day: Transport: Cross-regional Personnel Mobility: YoY

    • ceicdata.com
    + more versions
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    CEICdata.com, China CN: New Year's Day: Transport: Cross-regional Personnel Mobility: YoY [Dataset]. https://www.ceicdata.com/en/china/transport/cn-new-years-day-transport-crossregional-personnel-mobility-yoy
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    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
    Dec 1, 2025
    Area covered
    China
    Description

    China New Year's Day: Transport: Cross-regional Personnel Mobility: YoY data was reported at -9.100 % in 2025. China New Year's Day: Transport: Cross-regional Personnel Mobility: YoY data is updated yearly, averaging -9.100 % from Dec 2025 (Median) to 2025, with 1 observations. The data reached an all-time high of -9.100 % in 2025 and a record low of -9.100 % in 2025. China New Year's Day: Transport: Cross-regional Personnel Mobility: YoY data remains active status in CEIC and is reported by Ministry of Transport. The data is categorized under China Premium Database’s Holiday Economy – Transport.

  17. Panel threshold estimation results.

    • plos.figshare.com
    xls
    Updated May 16, 2024
    + more versions
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    Yuhu Cui; Hu Tian; Dong An; Yonghua Jia (2024). Panel threshold estimation results. [Dataset]. http://doi.org/10.1371/journal.pone.0298389.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 16, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Yuhu Cui; Hu Tian; Dong An; Yonghua Jia
    License

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

    Description

    With the development of China’s economy entering a new stage, the quality of life, which centers on the well-being of residents, provides an essential hand in promoting the transformation of the regional economy from high-speed development to high-quality development. Based on a panel threshold regression model, we examine in this paper whether quality of life helps regional economies realize developmental convergence. The research shows that: (1) The quality of life overall can promote regional economic development and passes the series test with relatively robust results. (2) The quality of life has a non-linear effect on regional economic growth, which is mainly manifested in the fact that the impact is more significant in regions with higher levels of quality of life and weaker in regions with lagging quality of life and may widen the gap between regions at the same time. (3) We categorize the study regions to test further regional heterogeneity based on regional location and development status. At the Quality of Life Level-I regions, their influence on economic development has a more substantial pulling effect. Therefore, each region should seize the strategic opportunity to improve the quality of life, focus on the balanced development of the quality of life, strengthen policy support and social security, and strive to promote the coordinated development of China’s regional economy.

  18. C

    China No of Job Postings: New: Utilities

    • ceicdata.com
    Updated Oct 5, 2023
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    CEICdata.com (2023). China No of Job Postings: New: Utilities [Dataset]. https://www.ceicdata.com/en/china/number-of-job-postings-new-by-industry
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    Dataset updated
    Oct 5, 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
    Sep 1, 2025 - Nov 17, 2025
    Area covered
    China
    Description

    No of Job Postings: New: Utilities data was reported at 449.000 Unit in 17 Nov 2025. This records a decrease from the previous number of 528.000 Unit for 10 Nov 2025. No of Job Postings: New: Utilities data is updated weekly, averaging 0.000 Unit from Jan 2008 (Median) to 17 Nov 2025, with 933 observations. The data reached an all-time high of 2,105.000 Unit in 17 Mar 2025 and a record low of 0.000 Unit in 30 Dec 2019. No of Job Postings: New: Utilities data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s China – Table CN.RL.JP: Number of Job Postings: New: by Industry. The latest China job posting data is pulled from Indeed (starting in 2019), LinkUp and China's local platforms: 51job, Zhaopin, and Liepin (starting in 2020). Postings from LinkedIn were excluded from the China series due to its ban in China. Beginning in July/August 2025, Revelio brought the scraping in-house of the three local Chinese platforms (51job, Zhaopin, and Liepin). This shift, from a third-party provider, resulted in higher reported posting volumes starting in this period.

  19. C

    China Employment: Urban: New Increased: ytd

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). China Employment: Urban: New Increased: ytd [Dataset]. https://www.ceicdata.com/en/china/employment/employment-urban-new-increased-ytd
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    Dataset updated
    Oct 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
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    China
    Variables measured
    Employment
    Description

    China Employment: Urban: New Increased: Year to Date data was reported at 3,080.000 Person th in Mar 2025. This records a decrease from the previous number of 12,560.000 Person th for Dec 2024. China Employment: Urban: New Increased: Year to Date data is updated quarterly, averaging 9,310.000 Person th from Dec 2004 (Median) to Mar 2025, with 71 observations. The data reached an all-time high of 13,610.000 Person th in Dec 2018 and a record low of 2,290.000 Person th in Mar 2020. China Employment: Urban: New Increased: Year to Date data remains active status in CEIC and is reported by Ministry of Human Resources and Social Security. The data is categorized under China Premium Database’s Labour Market – Table CN.GB: Employment.

  20. T

    China Consumer Confidence

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). China Consumer Confidence [Dataset]. https://tradingeconomics.com/china/consumer-confidence
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    excel, xml, json, csvAvailable download formats
    Dataset updated
    Dec 15, 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, 1990 - Sep 30, 2025
    Area covered
    China
    Description

    Consumer Confidence in China increased to 89.60 points in September from 89.20 points in August of 2025. This dataset provides - China Consumer Confidence - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS (2024). China GDP [Dataset]. https://tradingeconomics.com/china/gdp

China GDP

China GDP - Historical Dataset (1960-12-31/2024-12-31)

Explore at:
297 scholarly articles cite this dataset (View in Google Scholar)
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 (GDP) in China was worth 18743.80 billion US dollars in 2024, according to official data from the World Bank. The GDP value of China represents 17.65 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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