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China Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 14.100 NA in 2016. This records a decrease from the previous number of 14.400 NA for 2015. China Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 15.100 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 18.100 NA in 2000 and a record low of 14.100 NA in 2016. China Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
China's digital economy has been growing rapidly in recent years. In 2023, the economy reached a size of nearly ** trillion yuan, registering a nominal year-on-year growth of **** percent, much higher than the country's nominal GDP growth at *** percent. The digital economy accounted for around ** percent of China's GDP.
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China Educational Attainment: Doctoral or Equivalent: Population 25+ Years: % Cumulative: Female data was reported at 0.090 % in 2020. China Educational Attainment: Doctoral or Equivalent: Population 25+ Years: % Cumulative: Female data is updated yearly, averaging 0.090 % from Dec 2020 (Median) to 2020, with 1 observations. The data reached an all-time high of 0.090 % in 2020 and a record low of 0.090 % in 2020. China Educational Attainment: Doctoral or Equivalent: Population 25+ Years: % Cumulative: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Social: Education Statistics. The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;;
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China recorded a trade surplus of 114.77 USD Billion in June of 2025. This dataset provides - China Balance of Trade - actual values, historical data, forecast, chart, statistics, economic calendar and news.
The statistic shows the degree of adult literacy in China from 1982 to 2020. In 2020, the literacy rate, which is defined as people aged 15 and above who can read and write, had reached about 97.15 percent in China.
Global literacy rates
By 2020, around 86.8 percent of the world population aged 15 years and above had been able to read and write. While in developed regions this figure ranged a lot higher, only around 67 percent of the population in Sub-Saharan Africa was literate. Countries with the lowest literacy rates are also the most underdeveloped worldwide. According to UNESCO, literacy is a human right, especially in a fast-changing and technology-driven world. In China, the literacy rate has developed from 79 percent in 1982 to 97 percent in 2020, indicating that almost one million people per year had become literate over three decades. In India, the situation was entirely different. The second most populous country in the world displayed a literacy rate of merely 76 percent in 2022.
Literacy in China
The dramatic increase in literacy in China has a lot to do with the efficacy of numerous political, economic and educational policies. In 1982, compulsory education was written into the Chinese constitution, postulating a nine-year compulsory education funded by the government. As is shown by the graph above, there was a large gender gap in literacy rate in China as of 1982. Though this gap still existed in 2020, it was narrowed down to three percent, starting from 28 percent in 1982. Since 1990, the national education policy was directed at females, especially from poor and/or minority families. Over the past years, China has achieved gender parity in primary schooling.
However, regional literacy disparities in China should not to be overlooked. Regions with a strong economic background tend to display illiteracy rates below national average. In contrast, economically underdeveloped regions have a much larger share of people who cannot read nor write. Tibet for instance, a region where 92 percent of the population belong to an ethnic minority, showed the highest illiterate rate nationwide, with around 34 percent in 2022.
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China Population: Education Level: Primary: Female data was reported at 195.372 Person th in 2021. This records a decrease from the previous number of 184,765.550 Person th for 2020. China Population: Education Level: Primary: Female data is updated yearly, averaging 195.865 Person th from Dec 1982 (Median) to 2021, with 27 observations. The data reached an all-time high of 224,578.928 Person th in 2000 and a record low of 135.591 Person th in 2019. China Population: Education Level: Primary: Female data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Sample Survey: Level of Education.
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The Chinese Big Data market presents a compelling investment landscape, projected to experience robust growth. With a Compound Annual Growth Rate (CAGR) of 30% from 2019 to 2033, the market's value is expected to surge significantly. Several key drivers fuel this expansion. The burgeoning digital economy in China, coupled with increasing government initiatives promoting data-driven decision-making across sectors, is creating substantial demand for big data solutions. Furthermore, advancements in artificial intelligence (AI) and machine learning (ML) are inextricably linked to big data, fostering innovation and creating new applications across diverse industries, including BFSI, healthcare, retail, and manufacturing. The adoption of cloud-based big data solutions is accelerating, offering scalability and cost-effectiveness for businesses of all sizes. However, challenges remain, including data security concerns, a lack of skilled professionals, and the need for robust data governance frameworks. These restraints, while present, are not expected to significantly impede the overall market trajectory given the substantial opportunities and government support.
The market segmentation reveals diverse investment avenues. The cloud deployment model is projected to dominate due to its advantages, while the large enterprise segment presents the largest revenue pool. Within solutions, customer analytics, fraud detection, and predictive maintenance are currently high-growth areas, offering attractive ROI. Geographically, China itself represents a significant portion of the market, although international players are also gaining traction. Considering the robust CAGR and the diverse segments, strategic investments targeting cloud-based solutions, AI-powered analytics, and specific industry verticals (like BFSI and healthcare) hold significant promise for high returns. Careful consideration of regulatory landscapes and data privacy regulations is crucial for successful investment strategies within this dynamic market. Investment Opportunities of Big Data Technology in China
This comprehensive report analyzes the burgeoning investment opportunities within China's Big Data Technology sector, offering a detailed forecast from 2019-2033. The report utilizes 2025 as its base and estimated year, covering the historical period (2019-2024) and forecasting market trends from 2025-2033. It delves into market dynamics, key players, and emerging trends shaping this rapidly expanding industry. This report is crucial for investors, businesses, and analysts seeking to understand and capitalize on the immense potential of China's big data market. Recent developments include: November 2022 - Alibaba announced the Innovative upgrade, and Greener 11.11 runs wholly on Alibaba Cloud, whereas Alibaba Cloud's dedicated processing unit powered 11.11 for the Apsara Cloud operating system. The upgraded infrastructure system significantly improved the efficiency of computing, storage, etc., October 2022 - Huawei Technologies Co.has unveiled its 4-in-1 hyper-converged enterprise gateway NetEngine AR5710, delved into the latest CloudCampus 3.0 + Simplified Solution, and launched a series of products for large enterprises and Small- and Medium-Sized Enterprises (SMEs). With these new offerings, Huawei aims to help enterprises simplify their campus networks and maximize digital productivity.. Key drivers for this market are: 6.1 Data Explosion: Unstructured, Semi-structured and Complex6.2 Improvement in Algorithm Development6.3 Need for Customer Analytics. Potential restraints include: 7.1 Lack of General Awareness And Expertise7.2 Data Security Concerns. Notable trends are: Need for Customer Analytics to Increase Exponentially Driving the Market Growth.
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.
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Total Vehicle Sales in China increased to 2686000 Units in May from 2590000 Units in April of 2025. This dataset provides - China Total Vehicle Sales- actual values, historical data, forecast, chart, statistics, economic calendar and news.
Quarterly update produced by the British Embassy in Beijing on key commercial regulatory developments in China.
This statistic shows the inequality of income distribution in China from 2005 to 2023 based on the Gini Index. In 2023, China reached a score of ************ points. The Gini Index is a statistical measure that is used to represent unequal distributions, e.g. income distribution. It can take any value between 1 and 100 points (or 0 and 1). The closer the value is to 100 the greater is the inequality. 40 or 0.4 is the warning level set by the United Nations. The Gini Index for South Korea had ranged at about **** in 2022. Income distribution in China The Gini coefficient is used to measure the income inequality of a country. The United States, the World Bank, the US Central Intelligence Agency, and the Organization for Economic Co-operation and Development all provide their own measurement of the Gini coefficient, varying in data collection and survey methods. According to the United Nations Development Programme, countries with the largest income inequality based on the Gini index are mainly located in Africa and Latin America, with South Africa displaying the world's highest value in 2022. The world's most equal countries, on the contrary, are situated mostly in Europe. The United States' Gini for household income has increased by around ten percent since 1990, to **** in 2023. Development of inequality in China Growing inequality counts as one of the biggest social, economic, and political challenges to many countries, especially emerging markets. Over the last 20 years, China has become one of the world's largest economies. As parts of the society have become more and more affluent, the country's Gini coefficient has also grown sharply over the last decades. As shown by the graph at hand, China's Gini coefficient ranged at a level higher than the warning line for increasing risk of social unrest over the last decade. However, the situation has slightly improved since 2008, when the Gini coefficient had reached the highest value of recent times.
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China GDP: Prefecture Level City data was reported at 71,746.936 RMB bn in 2015. This records an increase from the previous number of 67,836.364 RMB bn for 2014. China GDP: Prefecture Level City data is updated yearly, averaging 16,335.067 RMB bn from Dec 1991 (Median) to 2015, with 23 observations. The data reached an all-time high of 71,746.936 RMB bn in 2015 and a record low of 1,559.944 RMB bn in 1991. China GDP: Prefecture Level City 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.AE: Gross Domestic Product: Prefecture Level City.
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Imports: CIF: 3-Digit: CN: Aluminum data was reported at 90.504 USD mn in May 2018. This records a decrease from the previous number of 104.025 USD mn for Apr 2018. Imports: CIF: 3-Digit: CN: Aluminum data is updated monthly, averaging 51.116 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 265.393 USD mn in Jan 2018 and a record low of 0.041 USD mn in Feb 1997. Imports: CIF: 3-Digit: CN: Aluminum data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA081: Trade Statistics: China: Imports: CIF: SITC.
Colleges and universities in the United States are still a popular study destination for Chinese students, with around 277 thousand choosing to take courses there in the 2023/24 academic year. Although numbers were heavily affected by the coronavirus pandemic, China is still the leading source of international students in the U.S. education market, accounting for 24.6 percent of all incoming students. The education exodus Mathematics and computer science courses led the field in terms of what Chinese students were studying in the United States, followed by engineering and business & management programs. The vast majority of Chinese students were self-funded, wth the remainder receiving state-funding to complete their overseas studies. Tuition fees can run into the tens of thousands of U.S. dollars, as foreign students usually pay out-of-state tuition fees. What about the local situation? Although studying abroad attracts many Chinese students, the country itself boasts the largest state-run education system in the world. With modernization of the national tertiary education system being a top priority for the Chinese government, the country has seen a significant increase in the number of local universities over the last decade. Enrolments in these universities exceeded 37 million in 2023, and a record of more than ten million students graduated in the same year, indicating that China's education market is still expanding.
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Key information about China GDP Per Capita
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Domestic Exports: to China: Gold: Volume data was reported at 2,645.000 kg in Sep 2018. This records an increase from the previous number of 1,095.000 kg for Aug 2018. Domestic Exports: to China: Gold: Volume data is updated monthly, averaging 2,306.000 kg from Aug 2001 (Median) to Sep 2018, with 206 observations. The data reached an all-time high of 58,764.000 kg in May 2016 and a record low of 12.000 kg in Jan 2003. Domestic Exports: to China: Gold: Volume data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.JA030: Gold Trade Statistics: China. The volume of “Gold” consists of the following items: Gold (Including Gold Plated With Platinum), Non-Monetary, Unwrought Or In Semi-Manufactured Forms, Or In Powder Form Base Metals Or Silver, Clad With Gold, Not Further Worked Than Semi-Manufactured Waste And Scrap Of Gold (Including Metal Clad With Gold But Excluding Sweepings Containing Other Precious Metals) And Ash Containing Precious Metal Or Precious Metal Compounds Gold Coin And Current Coin
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Key information about China Gross National Product (GNP)
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CN: Input-Output: Final Use: Intermediate Input: Final Use: Banking and Insurance data was reported at 1,699.598 RMB bn in 2015. This records an increase from the previous number of 1,093.928 RMB bn for 2012. CN: Input-Output: Final Use: Intermediate Input: Final Use: Banking and Insurance data is updated yearly, averaging 351.921 RMB bn from Dec 1995 (Median) to 2015, with 9 observations. The data reached an all-time high of 1,699.598 RMB bn in 2015 and a record low of 46.664 RMB bn in 1995. CN: Input-Output: Final Use: Intermediate Input: Final Use: Banking and Insurance 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.AG: Input-Output Table: Final Use: Input/Output: Final Use.
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CN: Number of Ships in Port : (Unregistered) Oil/Gas/Chemical Tanker: Dongguan data was reported at 5.000 Unit in 17 May 2025. This records a decrease from the previous number of 7.000 Unit for 15 May 2025. CN: Number of Ships in Port : (Unregistered) Oil/Gas/Chemical Tanker: Dongguan data is updated daily, averaging 11.000 Unit from Jan 2019 (Median) to 17 May 2025, with 2323 observations. The data reached an all-time high of 28.000 Unit in 31 Aug 2019 and a record low of 0.000 Unit in 02 Sep 2023. CN: Number of Ships in Port : (Unregistered) Oil/Gas/Chemical Tanker: Dongguan data remains active status in CEIC and is reported by Elane Inc.. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TDM: Elane Shipping Statistics: Ship in Port: Dongguan.
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China Credit Card Payable Credit data was reported at 8,710.000 RMB bn in Dec 2024. This records an increase from the previous number of 8,610.000 RMB bn for Sep 2024. China Credit Card Payable Credit data is updated quarterly, averaging 3,675.000 RMB bn from Mar 2008 (Median) to Dec 2024, with 68 observations. The data reached an all-time high of 8,760.000 RMB bn in Sep 2022 and a record low of 88.410 RMB bn in Mar 2008. China Credit Card Payable Credit data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money and Banking – Table CN.KC: Bank Card Statistics.
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China Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 14.100 NA in 2016. This records a decrease from the previous number of 14.400 NA for 2015. China Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 15.100 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 18.100 NA in 2000 and a record low of 14.100 NA in 2016. China Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;