100+ datasets found
  1. C

    China CN: Mid-Autumn Festival: Holiday Entry-Exit: Entry-Exit Passenger

    • ceicdata.com
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    CEICdata.com, China CN: Mid-Autumn Festival: Holiday Entry-Exit: Entry-Exit Passenger [Dataset]. https://www.ceicdata.com/en/china/entryexit/cn-midautumn-festival-holiday-entryexit-entryexit-passenger
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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, 2019 - Dec 1, 2024
    Area covered
    China
    Description

    China Mid-Autumn Festival: Holiday Entry-Exit: Entry-Exit Passenger data was reported at 5,256.000 Person-Time th in 2024. This records an increase from the previous number of 4,432.000 Person-Time th for 2023. China Mid-Autumn Festival: Holiday Entry-Exit: Entry-Exit Passenger data is updated yearly, averaging 5,256.000 Person-Time th from Dec 2019 (Median) to 2024, with 3 observations. The data reached an all-time high of 5,290.000 Person-Time th in 2019 and a record low of 4,432.000 Person-Time th in 2023. China Mid-Autumn Festival: Holiday Entry-Exit: Entry-Exit Passenger 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.

  2. T

    China Foreign Direct Investment YoY

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Jul 28, 2025
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    TRADING ECONOMICS (2025). China Foreign Direct Investment YoY [Dataset]. https://tradingeconomics.com/china/foreign-direct-investment-yoy
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    xml, json, excel, csvAvailable download formats
    Dataset updated
    Jul 28, 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, 2008 - Jun 30, 2025
    Area covered
    China
    Description

    Foreign Direct Investment YoY in China decreased to -15.20 percent in June from -13.20 percent in May of 2025. This dataset includes a chart with historical data for China Foreign Direct Investment YoY.

  3. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
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    xml, csv, excel, jsonAvailable download formats
    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 19, 1990 - Aug 8, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, fell to 3635 points on August 8, 2025, losing 0.12% from the previous session. Over the past month, the index has climbed 4.07% and is up 27.00% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on August of 2025.

  4. f

    Supplementary file 2_Urban–rural disparities in fall risk among older...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated May 15, 2025
    + more versions
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    LiHan Lin; XiaoYang Liu; CaiHua Cai; YiKun Zheng; Delong Li; GuoPeng Hu (2025). Supplementary file 2_Urban–rural disparities in fall risk among older Chinese adults: insights from machine learning-based predictive models.xlsx [Dataset]. http://doi.org/10.3389/fpubh.2025.1597853.s003
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    xlsxAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset provided by
    Frontiers
    Authors
    LiHan Lin; XiaoYang Liu; CaiHua Cai; YiKun Zheng; Delong Li; GuoPeng Hu
    License

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

    Description

    BackgroundFalls among older adults are a significant challenge to global healthy aging. Identifying key factors and differences in fall risks, along with developing predictive models, is essential for differentiated and precise interventions in China’s urban and rural older populations.MethodsThe data of 5,876 older adults were obtained from the China Health and Retirement Longitudinal Survey (Waves 2015 and 2018). A total of 87 baseline input variables were considered as candidate features. Predictive models for fall risk over the next 3 years among urban and rural older populations were developed using five machine learning algorithms. Logistic regression analysis was employed to identify key factors influencing falls in these populations.ResultsThe fall incidence among older adults was 22.4%, with 23.2% in rural areas and 20.9% in urban areas. Common risk factors across both settings include gender, age, fall history, sleep duration, activities of daily living questionnaire scores, memory status, and chair stand test time. In rural areas, additional risks include being unmarried, having diabetes, heart disease, memory-related medication use, and living in houses built 6–20 years ago. For urban, liver disease, arthritis, physical disabilities, depressive symptoms, weak hand strength, poor relations with children, and digestive medication use are significant risk factors while living in a tidy environment is protective. Random Forest models achieved the highest AUC-ROC and sensitivity in both rural (AUC = 0.732, 95% CI: 0.69–0.78; sensitivity = 0.669) and urban (AUC = 0.734, 95% CI: 0.68–0.79; sensitivity = 0.754) areas. Decision curve analysis confirmed the model’s clinical utility across a range of threshold probabilities. Key predictors included prior experience of falling, gender, and chair stand test performance in rural areas, while in urban areas, experience of falling, gender, and age were the most influential features.ConclusionThe key factors influencing falls among older people differ between urban and rural areas, and the predictive models effectively identify high-risk populations in both settings. This facilitates targeted prevention and precise interventions, supporting healthy aging in China.

  5. o

    Data and code for: "The Rise and Fall of Local Elections in China"

    • openicpsr.org
    Updated Mar 31, 2022
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    Monica Martinez-Bravo; Gerard Padro-i-Miquel; Nancy Qian; Yao Yang (2022). Data and code for: "The Rise and Fall of Local Elections in China" [Dataset]. http://doi.org/10.3886/E166506V1
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    Dataset updated
    Mar 31, 2022
    Dataset provided by
    American Economic Association
    Authors
    Monica Martinez-Bravo; Gerard Padro-i-Miquel; Nancy Qian; Yao Yang
    License

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

    Area covered
    China
    Description

    We posit that autocrats introduce local elections when their bureaucratic capacity is low. Local elections exploit the citizens' informational advantage in keeping local officials accountable, but they also weaken vertical control. As bureaucratic capacity increases, the autocrat limits the role of elected bodies to regain vertical control. We argue that these insights can explain the introduction of village elections in rural China and the subsequent erosion of village autonomy years later. We construct a novel dataset to document political reforms, policy outcomes and de facto power for almost four decades. We find that the introduction of elections improves popular policies and weakens unpopular ones. Increases in regional government resources lead to loss of village autonomy, but less so in remote villages. These patterns are consistent with an organizational view of local elections within autocracies.

  6. China CN: Mid-Autumn Festival: Transport: Cross-regional Personnel Mobility:...

    • ceicdata.com
    + more versions
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    CEICdata.com, China CN: Mid-Autumn Festival: Transport: Cross-regional Personnel Mobility: Highway [Dataset]. https://www.ceicdata.com/en/china/transport/cn-midautumn-festival-transport-crossregional-personnel-mobility-highway
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    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
    Dec 1, 2024
    Area covered
    China
    Description

    China Mid-Autumn Festival: Transport: Cross-regional Personnel Mobility: Highway data was reported at 579.940 Person-Time mn in 2024. China Mid-Autumn Festival: Transport: Cross-regional Personnel Mobility: Highway data is updated yearly, averaging 579.940 Person-Time mn from Dec 2024 (Median) to 2024, with 1 observations. The data reached an all-time high of 579.940 Person-Time mn in 2024 and a record low of 579.940 Person-Time mn in 2024. China Mid-Autumn Festival: Transport: Cross-regional Personnel Mobility: Highway 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.

  7. China CN: Mid-Autumn Festival: Transport: Cross-regional Personnel Mobility:...

    • ceicdata.com
    Updated Feb 5, 2025
    + more versions
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    CEICdata.com (2025). China CN: Mid-Autumn Festival: Transport: Cross-regional Personnel Mobility: Daily Average: YoY [Dataset]. https://www.ceicdata.com/en/china/transport/cn-midautumn-festival-transport-crossregional-personnel-mobility-daily-average-yoy
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    Dataset updated
    Feb 5, 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
    Dec 1, 2024
    Area covered
    China
    Description

    China Mid-Autumn Festival: Transport: Cross-regional Personnel Mobility: Daily Average: YoY data was reported at 31.100 % in 2024. China Mid-Autumn Festival: Transport: Cross-regional Personnel Mobility: Daily Average: YoY data is updated yearly, averaging 31.100 % from Dec 2024 (Median) to 2024, with 1 observations. The data reached an all-time high of 31.100 % in 2024 and a record low of 31.100 % in 2024. China Mid-Autumn Festival: Transport: Cross-regional Personnel Mobility: Daily Average: 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.

  8. C

    China Unemployment rate - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 17, 2015
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    Globalen LLC (2015). China Unemployment rate - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/china/unemployment_rate/
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    excel, csv, xmlAvailable download formats
    Dataset updated
    Jan 17, 2015
    Dataset authored and provided by
    Globalen LLC
    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, 1991 - Dec 31, 2024
    Area covered
    China
    Description

    China: Unemployment rate: The latest value from 2024 is 4.57 percent, a decline from 4.67 percent in 2023. In comparison, the world average is 6.80 percent, based on data from 176 countries. Historically, the average for China from 1991 to 2024 is 4.07 percent. The minimum value, 2.37 percent, was reached in 1991 while the maximum of 5 percent was recorded in 2020.

  9. Gross domestic product (GDP) growth rate in China 2014-2030

    • statista.com
    Updated Apr 23, 2025
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    Statista (2025). Gross domestic product (GDP) growth rate in China 2014-2030 [Dataset]. https://www.statista.com/statistics/263616/gross-domestic-product-gdp-growth-rate-in-china/
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    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    According to preliminary figures, the growth of real gross domestic product (GDP) in China amounted to 5.0 percent in 2024. For 2025, the IMF expects a GDP growth rate of around 3.95 percent. Real GDP growth The current gross domestic product is an important indicator of the economic strength of a country. It refers to the total market value of all goods and services that are produced within a country per year. When analyzing year-on-year changes, the current GDP is adjusted for inflation, thus making it constant. Real GDP growth is regarded as a key indicator for economic growth as it incorporates constant GDP figures. As of 2024, China was among the leading countries with the largest gross domestic product worldwide, second only to the United States which had a GDP volume of almost 29.2 trillion U.S. dollars. The Chinese GDP has shown remarkable growth over the past years. Upon closer examination of the distribution of GDP across economic sectors, a gradual shift from an economy heavily based on industrial production towards an economy focused on services becomes visible, with the service industry outpacing the manufacturing sector in terms of GDP contribution. Key indicator balance of trade Another important indicator for economic assessment is the balance of trade, which measures the relationship between imports and exports of a nation. As an economy heavily reliant on manufacturing and industrial production, China has reached a trade surplus over the last decade, with a total trade balance of around 992 billion U.S. dollars in 2024.

  10. Replication dataset and calculations for PIIE PB 14-21, Is China's Property...

    • piie.com
    Updated Aug 1, 2014
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    Li-Gang Liu (2014). Replication dataset and calculations for PIIE PB 14-21, Is China's Property Market Heading toward Collapse?, by Li-Gang Liu. (2014). [Dataset]. https://www.piie.com/publications/policy-briefs/chinas-property-market-heading-toward-collapse
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    Dataset updated
    Aug 1, 2014
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Li-Gang Liu
    Area covered
    China
    Description

    This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in Is China's Property Market Heading toward Collapse?, PIIE Policy Brief 14-21. If you use the data, please cite as: Liu, Li-Gang. (2014). Is China's Property Market Heading toward Collapse?. PIIE Policy Brief 14-21. Peterson Institute for International Economics.

  11. China CN: Yield: Autumn Crops

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: Yield: Autumn Crops [Dataset]. https://www.ceicdata.com/en/china/yield-of-farm-crops/cn-yield-autumn-crops
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    Dataset updated
    Dec 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
    Dec 1, 2013 - Dec 1, 2024
    Area covered
    China
    Description

    China Yield: Autumn Crops data was reported at 528,434.000 Ton th in 2024. This records an increase from the previous number of 520,920.000 Ton th for 2023. China Yield: Autumn Crops data is updated yearly, averaging 259,047.000 Ton th from Dec 1949 (Median) to 2024, with 76 observations. The data reached an all-time high of 528,434.000 Ton th in 2024 and a record low of 84,270.000 Ton th in 1949. China Yield: Autumn Crops data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Agriculture Sector – Table CN.RIB: Yield of Farm Crops.

  12. C

    China Rural population, percent - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 30, 2016
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    Globalen LLC (2016). China Rural population, percent - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/China/rural_population_percent/
    Explore at:
    xml, excel, csvAvailable download formats
    Dataset updated
    May 30, 2016
    Dataset authored and provided by
    Globalen LLC
    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

    China: Rural population, percent of total population: The latest value from 2023 is 35.43 percent, a decline from 36.44 percent in 2022. In comparison, the world average is 38.64 percent, based on data from 196 countries. Historically, the average for China from 1960 to 2023 is 67.18 percent. The minimum value, 35.43 percent, was reached in 2023 while the maximum of 83.8 percent was recorded in 1960.

  13. M

    China Population Growth Rate

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). China Population Growth Rate [Dataset]. https://www.macrotrends.net/global-metrics/countries/chn/china/population-growth-rate
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    China
    Description
    China population growth rate for 2023 was -0.10%, a 0.09% decline from 2022.
    <ul style='margin-top:20px;'>
    
    <li>China population growth rate for 2022 was <strong>-0.01%</strong>, a <strong>0.1% decline</strong> from 2021.</li>
    <li>China population growth rate for 2021 was <strong>0.09%</strong>, a <strong>0.15% decline</strong> from 2020.</li>
    <li>China population growth rate for 2020 was <strong>0.24%</strong>, a <strong>0.12% decline</strong> from 2019.</li>
    </ul>Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
    
  14. C

    China Consumer Price Index (CPI), June, 2025 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jun 15, 2025
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    Globalen LLC (2025). China Consumer Price Index (CPI), June, 2025 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/China/cpi/
    Explore at:
    csv, excel, xmlAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    Globalen LLC
    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 - Jun 30, 2025
    Area covered
    China
    Description

    Consumer Price Index (CPI) in China, June, 2025 The most recent value is 131.4329 index points as of June 2025, a decline compared to the previous value of 131.5645 index points. Historically, the average for China from January 1986 to June 2025 is 88.4255 index points. The minimum of 25.331 index points was recorded in August 1986, while the maximum of 133.1705 index points was reached in February 2024. | TheGlobalEconomy.com

  15. Budget balance in relation to GDP in China 1982-2030

    • statista.com
    Updated Jun 18, 2025
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    Statista (2025). Budget balance in relation to GDP in China 1982-2030 [Dataset]. https://www.statista.com/statistics/270328/budget-balance-in-china-in-relation-to-gross-domestic-product-gdp/
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    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, the budget balance in relation to the gross domestic product (GDP) in China stood at approximately -7.34 percent. Between 1982 and 2024, the figure dropped by around 7.56 percentage points, though the decline followed an uneven course rather than a steady trajectory. The budget balance is forecast to decline by about 0.77 percentage points from 2024 to 2030, fluctuating as it trends downward.The indicator describes the general government net lending / borrowing, which is calculated as revenue minus total expenditure. The International Monetary Fund defines the general government expenditure as consisting of total expenses and the net acquisition of nonfinancial assets. The general government revenue consists of the revenue from taxes, social contributions, grants receivable, and other revenue.

  16. C

    China Financial institutions development, access - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jun 26, 2024
    + more versions
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    Globalen LLC (2024). China Financial institutions development, access - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/China/financial_institutions_development_access/
    Explore at:
    xml, csv, excelAvailable download formats
    Dataset updated
    Jun 26, 2024
    Dataset authored and provided by
    Globalen LLC
    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, 1982 - Dec 31, 2021
    Area covered
    China
    Description

    China: Financial institutions development, access: The latest value from 2021 is 0.461 index points, a decline from 0.486 index points in 2020. In comparison, the world average is 0.363 index points, based on data from 175 countries. Historically, the average for China from 1982 to 2021 is 0.138 index points. The minimum value, 0.028 index points, was reached in 1982 while the maximum of 0.527 index points was recorded in 2018.

  17. Standard amount of bride price in China 2024

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Standard amount of bride price in China 2024 [Dataset]. https://www.statista.com/statistics/1552078/china-common-amount-of-bride-wealth-in-respondents-hometown/
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    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    According to a 2024 survey, over ** percent of respondents in China indicated the common bride price to fall between ****** and ******* yuan. In some economically developed or traditional areas, the standard level of bride wealth reached more than ******* yuan, acknowledged by almost ** percent of respondents.

  18. China CN: Sown Area: Autumn Crops: Xinjiang

    • ceicdata.com
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    CEICdata.com, China CN: Sown Area: Autumn Crops: Xinjiang [Dataset]. https://www.ceicdata.com/en/china/sown-area-farm-crops-grain-by-region-and-harvest-season/cn-sown-area-autumn-crops-xinjiang
    Explore at:
    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
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Agricultural, Fishery and Forestry Production
    Description

    Sown Area: Autumn Crops: Xinjiang data was reported at 1,613.800 ha th in 2023. This records an increase from the previous number of 1,275.800 ha th for 2022. Sown Area: Autumn Crops: Xinjiang data is updated yearly, averaging 728.400 ha th from Dec 1949 (Median) to 2023, with 75 observations. The data reached an all-time high of 1,613.800 ha th in 2023 and a record low of 522.000 ha th in 1954. Sown Area: Autumn Crops: Xinjiang data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Agriculture Sector – Table CN.RIB: Sown Area: Farm Crops: Grain: By Region and Harvest Season.

  19. T

    China Balance of Trade

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 7, 2025
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    TRADING ECONOMICS (2025). China Balance of Trade [Dataset]. https://tradingeconomics.com/china/balance-of-trade
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    excel, json, xml, csvAvailable download formats
    Dataset updated
    Aug 7, 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, 1981 - Jul 31, 2025
    Area covered
    China
    Description

    China recorded a trade surplus of 98.24 USD Billion in July of 2025. This dataset provides - China Balance of Trade - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  20. f

    Data_Sheet_1_Depressive symptoms increase the risk of falls and injurious...

    • frontiersin.figshare.com
    docx
    Updated May 31, 2023
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    Hanli Bu; Suqing Lu; Linxian Wang; Dan Jiang; Zhenzhen Tian; Yi Ding; Qin Zhuang (2023). Data_Sheet_1_Depressive symptoms increase the risk of falls and injurious falls in Chinese adults aged ≥ 45 years: A 3-year cohort study.docx [Dataset]. http://doi.org/10.3389/fpubh.2022.964408.s001
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Hanli Bu; Suqing Lu; Linxian Wang; Dan Jiang; Zhenzhen Tian; Yi Ding; Qin Zhuang
    License

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

    Description

    BackgroundFalls and depressive symptoms are both public health concerns in China, but the effects of depressive symptoms on falls and injurious falls have not been thoroughly investigated.MethodsThis population-based prospective cohort study used data derived from adults aged ≥45 years acquired from the 2015 and 2018 China Health and Retirement Longitudinal Study. Data were analyzed from August 2021 to December 2021. Self-reported depressive symptoms were determined using a 10-item Center for Epidemiologic Studies Depression scale (CESD-10) with a total score range of 0–30. Item responses of 3–4 or 5–7 days were deemed indicative of specific depressive symptoms. The outcome variables were self-reported accidental falls and injurious falls.ResultsOf the 12,392 participants included in the study, 3,671 (29.6%) had high baseline depressive symptoms (CESD-10 scores ≥ 10), 1,892 (15.3%) experienced falls, and 805 (6.5%) experienced injurious falls during 2015–2018 follow-up. High depressive symptoms increased the risk of falls [odds ratio (OR) 1.34, 95% confidence interval (CI) 1.19–1.50] and injurious falls (OR 1.28, 95% CI 1.09–1.51) in a multivariable logistic regression model adjusted for major demographic, health-related, and anthropometric covariates. All of the 10 specific depressive symptoms except “felt hopeless” were associated with falls, and four specific symptoms significantly increased the risk of injurious falls; “had trouble concentrating” (OR 1.32, 95% CI 1.13–1.55); “felt depressed” (OR 1.32, 95% CI 1.12–1.55); “everything was an effort” (OR 1.23, 95% CI 1.04–1.45); and “restless sleep” (OR 1.18, 95% CI 1.02–1.40).ConclusionHigh depressive symptoms are significantly related to risk of falls and injurious falls. Four specific symptoms (had trouble concentrating, felt depressed, everything was an effort, and restless sleep) increase the risk of injurious falls in Chinese adults aged ≥ 45 years.

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CEICdata.com, China CN: Mid-Autumn Festival: Holiday Entry-Exit: Entry-Exit Passenger [Dataset]. https://www.ceicdata.com/en/china/entryexit/cn-midautumn-festival-holiday-entryexit-entryexit-passenger

China CN: Mid-Autumn Festival: Holiday Entry-Exit: Entry-Exit Passenger

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

Time period covered
Dec 1, 2019 - Dec 1, 2024
Area covered
China
Description

China Mid-Autumn Festival: Holiday Entry-Exit: Entry-Exit Passenger data was reported at 5,256.000 Person-Time th in 2024. This records an increase from the previous number of 4,432.000 Person-Time th for 2023. China Mid-Autumn Festival: Holiday Entry-Exit: Entry-Exit Passenger data is updated yearly, averaging 5,256.000 Person-Time th from Dec 2019 (Median) to 2024, with 3 observations. The data reached an all-time high of 5,290.000 Person-Time th in 2019 and a record low of 4,432.000 Person-Time th in 2023. China Mid-Autumn Festival: Holiday Entry-Exit: Entry-Exit Passenger 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.

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