20 datasets found
  1. T

    Chinese Yuan Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jan 4, 2017
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    TRADING ECONOMICS (2017). Chinese Yuan Data [Dataset]. https://tradingeconomics.com/china/currency
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    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jan 4, 2017
    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 2, 1981 - Sep 2, 2025
    Area covered
    China
    Description

    The USD/CNY exchange rate rose to 7.1389 on September 2, 2025, up 0.08% from the previous session. Over the past month, the Chinese Yuan has strengthened 0.58%, but it's down by 0.29% over the last 12 months. Chinese Yuan - values, historical data, forecasts and news - updated on September of 2025.

  2. Currency exchange rate Chinese yuan to U.S. dollar by month 2014-2025

    • statista.com
    Updated Aug 20, 2025
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    Statista (2025). Currency exchange rate Chinese yuan to U.S. dollar by month 2014-2025 [Dataset]. https://www.statista.com/statistics/456227/monthly-exchange-rate-chinese-yuan-to-us-dollar/
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    Dataset updated
    Aug 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States, China
    Description

    In July 2025, the exchange rate of yuan to U.S. dollar was ****. In the past decades, the yuan has undergone a slow liberalization, being increasingly exposed to the international money market. FOREX history of the Renminbi After the Communist Party took control over China, it introduced a unified currency which has since then undergone many changes. During the planned economy, the yuan had a fixed exchange rate. At the time, the currency’s exchange rate was deliberately set high to support the industrial development, which relied on imports. After the country committed to opening its economy, the Renminbi was gradually exposed to the supply and demand of the global FOREX markets. Until 2005, the yuan remained pegged to the U.S. dollar. Currency manipulator, or not? As China manifested its role in the global economy, the country was repeatedly accused of manipulating the value of its currency. Especially, voices from the United States claimed that Beijing would intentionally keep the value of the yuan low. A cheap Renminbi would make products from China more attractive for foreign buyers which in turn would support the country’s export-driven economy. However, currency manipulation is difficult to make out and even harder to prove, which is why no significant actions have been taken.

  3. H

    Is the Chinese Currency Substantially Misaligned to Warrant Further...

    • data.niaid.nih.gov
    • dataverse.harvard.edu
    xls
    Updated Feb 4, 2010
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    Duo Qin; Xinhua He (2010). Is the Chinese Currency Substantially Misaligned to Warrant Further Appreciation? [Dataset] [Dataset]. http://doi.org/10.7910/DVN/TTRH5M
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    xlsAvailable download formats
    Dataset updated
    Feb 4, 2010
    Dataset provided by
    Department of Economics, Queen Mary, University of London
    Institute of World Economics & Politics, Chinese Academy of Social Sciences
    Authors
    Duo Qin; Xinhua He
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Saudi Arabia, United States
    Description

    This study provides quarterly time-series estimates of the misalignment in the REER of the Renminbi (RMB). The estimation is based on a commonly used economic approach, but with a wider and more up-to-date coverage of data and a more extensive use of econometric modelling techniques. Our estimates corroborate and explain most of the previous estimates. More importantly, our estimates demonstrate that there is no significant undervaluation in the REER of the RMB though downward misalignment exists in the trilateral rates between the RMB, US$ and euro. The finding refutes the claim that RMB appreciation is the primary and necessary solution to the current global trade imbalance.

  4. T

    USDCNY US Dollar Chinese Yuan - Currency Exchange Rate Live Price Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
    + more versions
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    TRADING ECONOMICS (2017). USDCNY US Dollar Chinese Yuan - Currency Exchange Rate Live Price Chart [Dataset]. https://tradingeconomics.com/usdcny:cur
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    May 29, 2017
    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 1, 2000 - Sep 2, 2025
    Description

    Prices for USDCNY US Dollar Chinese Yuan including live quotes, historical charts and news. USDCNY US Dollar Chinese Yuan was last updated by Trading Economics this September 2 of 2025.

  5. G

    Germany Exchange Rates Expectation: Chinese Yuan: Appreciate

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Germany Exchange Rates Expectation: Chinese Yuan: Appreciate [Dataset]. https://www.ceicdata.com/en/germany/indicator-of-economic-sentiment-zew/exchange-rates-expectation-chinese-yuan-appreciate
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    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
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Germany
    Variables measured
    Economic Sentiment Survey
    Description

    Germany Exchange Rates Expectation: Chinese Yuan: Appreciate data was reported at 10.800 % in Apr 2025. This records a decrease from the previous number of 13.600 % for Mar 2025. Germany Exchange Rates Expectation: Chinese Yuan: Appreciate data is updated monthly, averaging 16.100 % from Apr 2021 (Median) to Apr 2025, with 49 observations. The data reached an all-time high of 35.000 % in Mar 2022 and a record low of 10.100 % in Nov 2023. Germany Exchange Rates Expectation: Chinese Yuan: Appreciate data remains active status in CEIC and is reported by Leibniz Centre for European Economic Research. The data is categorized under Global Database’s Germany – Table DE.S001: Indicator of Economic Sentiment: ZEW.

  6. f

    Literature on China exchange rate and trade.

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). Literature on China exchange rate and trade. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

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

    Area covered
    China
    Description

    Literature on China exchange rate and trade.

  7. f

    China exports (2018) in US billion $.

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). China exports (2018) in US billion $. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

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

    Area covered
    China, United States
    Description

    China exports (2018) in US billion $.

  8. f

    China imports (2018) in US billion $.

    • plos.figshare.com
    xls
    Updated Jun 20, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). China imports (2018) in US billion $. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 20, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

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

    Area covered
    China, United States
    Description

    China imports (2018) in US billion $.

  9. Contemporaneous effect of foreign variables on domestic variables.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). Contemporaneous effect of foreign variables on domestic variables. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t013
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

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

    Description

    Contemporaneous effect of foreign variables on domestic variables.

  10. f

    Weak exogeneity of the country-specific foreign variables.

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). Weak exogeneity of the country-specific foreign variables. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t010
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

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

    Description

    Weak exogeneity of the country-specific foreign variables.

  11. Unit root test for domestic variables.

    • plos.figshare.com
    xls
    Updated Jun 20, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). Unit root test for domestic variables. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 20, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

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

    Description

    Unit root test for domestic variables.

  12. 德国 汇率预期:人民币:升值

    • ceicdata.com
    + more versions
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    CEICdata.com, 德国 汇率预期:人民币:升值 [Dataset]. https://www.ceicdata.com/zh-hans/germany/indicator-of-economic-sentiment-zew/exchange-rates-expectation-chinese-yuan-appreciate
    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
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    德国
    Variables measured
    Economic Sentiment Survey
    Description

    汇率预期:人民币:升值在04-01-2025达10.800%,相较于03-01-2025的13.600%有所下降。汇率预期:人民币:升值数据按月更新,04-01-2021至04-01-2025期间平均值为16.100%,共49份观测结果。该数据的历史最高值出现于03-01-2022,达35.000%,而历史最低值则出现于11-01-2023,为10.100%。CEIC提供的汇率预期:人民币:升值数据处于定期更新的状态,数据来源于Leibniz Zentrum für Europäische Wirtschaftsforschung,数据归类于Global Database的德国 – Table DE.S001: Indicator of Economic Sentiment: ZEW。

  13. f

    Variables’ definitions and data source.

    • figshare.com
    xls
    Updated Jun 21, 2023
    + more versions
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). Variables’ definitions and data source. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

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

    Description

    Variables’ definitions and data source.

  14. f

    Trace statistic test for Co-integration.

    • figshare.com
    xls
    Updated Jun 21, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). Trace statistic test for Co-integration. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t009
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

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

    Description

    Trace statistic test for Co-integration.

  15. Order of VARX* model.

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). Order of VARX* model. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t008
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    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

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

    Description

    Order of VARX* model.

  16. Trade weight matrix.

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). Trade weight matrix. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

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

    Description

    Trade weight matrix.

  17. Value of personal housing loans China 2015-2024

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Value of personal housing loans China 2015-2024 [Dataset]. https://www.statista.com/statistics/1218194/china-value-of-personal-housing-loans/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, the value of personal housing loans in China amounted to ************** yuan, representing a slight drop of *** percent compared to the previous year. The overall value of outstanding mortgages more than doubled between 2016 and 2021 before it plateaued afterwards. A key factor to the growth of the real estate market China's personal housing loan market emerged in the 1990s in tandem with the marketization of the country's real estate sector. Its subsequent expansion also mirrored the growth in the property industry. Thanks to the dramatic rise in home prices across China since the early 2000s, substantial capital has poured into the market through real estate development loans and personal housing credits. For almost two decades, many Chinese middle class citizens accumulated their personal wealth through the considerable appreciation of their properties, which they financed with the help of mortgages. Risks The persistently high level of outstanding personal mortgage is becoming increasingly concerning amidst China’s current economic and market situation. With the country’s economic slowdown and the oversupply in the property sector, the housing market is losing steam, resulting in elevated risks of bad debts to financial institutions. At the same time, the household debt in China is now staying above ** percent of the country’s GDP, undermining the ability to consume and invest in the Chinese population.

  18. Average price of commodity residential housing sold in Shanghai 1995-2023

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Average price of commodity residential housing sold in Shanghai 1995-2023 [Dataset]. https://www.statista.com/statistics/1325915/china-average-price-of-residential-housing-sold-in-shanghai/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2023, the average price of residential housing sold in Shanghai, the most important economic hub of China, reaching ****** yuan per square meter, making the city one of the least affordable cities in the country. The housing market boom Since the housing reform in the 1990s, the prices of homes in Shanghai have increased almost every year, thanks to the growth of the city’s population and, thus, the high demands in the housing market. The high property prices gradually became out of reach for most residents, who earn an annual per capita income of only ******* yuan in 2023. Residential properties in the city center were especially unaffordable, as newly built homes located within Shanghai's inner ring road had an average price of ******* yuan in 2023, ********* more expensive than their counterparts outside the outer ring road. Risks and interventions The high price not only made living in the city expensive for its residents, but also posed a grave risk to China’s financial system. In the first 20 years of this century, the total value of personal housing mortgage loans in Shanghai increased by ******************, and defaults of any moderate scale can be consequential. Therefore, both the central and the municipal authorities had been attempting to curb the continuous rise of property costs in Shanghai, through the increase in the supply of housing stocks and policies limiting speculations in the market. However, most measures were not as effective as anticipated.

  19. PKmsq test statistics.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). PKmsq test statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t012
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

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

    Description

    PKmsq test statistics.

  20. PKsup test statistics.

    • plos.figshare.com
    xls
    Updated Jun 10, 2023
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    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal (2023). PKsup test statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0275859.t011
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Aftab Alam; Jingmei Ma; Ibrar Hussain; Rizwan Fazal
    License

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

    Description

    PKsup test statistics.

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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TRADING ECONOMICS (2017). Chinese Yuan Data [Dataset]. https://tradingeconomics.com/china/currency

Chinese Yuan Data

Chinese Yuan - Historical Dataset (1981-01-02/2025-09-02)

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49 scholarly articles cite this dataset (View in Google Scholar)
xml, csv, excel, jsonAvailable download formats
Dataset updated
Jan 4, 2017
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 2, 1981 - Sep 2, 2025
Area covered
China
Description

The USD/CNY exchange rate rose to 7.1389 on September 2, 2025, up 0.08% from the previous session. Over the past month, the Chinese Yuan has strengthened 0.58%, but it's down by 0.29% over the last 12 months. Chinese Yuan - values, historical data, forecasts and news - updated on September of 2025.

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