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.

The Gross Domestic Product (GDP) in China expanded 5.20 percent in the second 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.

This data package includes the PIIE dataset to replicate the data and charts presented in The rise of US economic sanctions on China: Analysis of a new PIIE dataset by Martin Chorzempa, Mary E. Lovely, and Christine Wan, PIIE Policy Brief 24-14.

If you use the dataset, please cite as: Chorzempa, Martin, Mary E. Lovely, and Christine Wan. 2024. The rise of US economic sanctions on China: Analysis of a new PIIE dataset, PIIE Policy Brief 24-14. Washington, DC: Peterson Institute for International Economics.

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.

Historical chart and dataset showing China GDP by year from 1960 to 2023.

The Gross Domestic Product (GDP) in China expanded 1.10 percent in the second 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.

This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in US-China Economic Relations: From Conflict to Solutions – Part I, PIIE Briefing 18-1.

If you use the data, please cite as: Posen, Adam S., Jiming Ha, Chad P. Bown, Robert Z. Lawrence, Mary E. Lovely, Zixuan Huang, C. Fred Bergsten, Nicholas R. Lardy, Jacob Funk Kirkegaard, Martin Chorzempa, Nicolas Véron, and Joseph E. Gagnon. (2018). US-China Economic Relations: From Conflict to Solutions – Part I. PIIE Briefing 18-1. Peterson Institute for International Economics.

Note: Updates to this data product are discontinued. The China agricultural and economic database is a collection of agricultural-related data from official statistical publications of the People's Republic of China. Analysts and policy professionals around the world need information about the rapidly changing Chinese economy, but statistics are often published only in China and sometimes only in Chinese-language publications. This product assembles a wide variety of data items covering agricultural production, inputs, prices, food consumption, output of industrial products relevant to the agricultural sector, and macroeconomic data.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Query tool For complete information, please visit https://data.gov.

The Gross Domestic Product per capita in China was last recorded at 23845.62 US dollars in 2024, when adjusted by purchasing power parity (PPP). The GDP per Capita, in China, when adjusted by Purchasing Power Parity is equivalent to 134 percent of the world's average. This dataset provides - China GDP per capita PPP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in Should the United States Recognize China as a Market Economy?, PIIE Policy Brief 16-24. If you use the data, please cite as: Bown, Chad P. (2016). Should the United States Recognize China as a Market Economy?. PIIE Policy Brief 16-24. Peterson Institute for International Economics.

This dataset is about books. It has 1 row and is filtered where the book is The political economy of China-US relations : digital futures and African agency. It features 7 columns including author, publication date, language, and book publisher.

China GDP: PPP: 2017 Price data was reported at 25,684,414.532 Intl $ mn in 2022. This records an increase from the previous number of 24,938,967.814 Intl $ mn for 2021. China GDP: PPP: 2017 Price data is updated yearly, averaging 7,839,613.420 Intl $ mn from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 25,684,414.532 Intl $ mn in 2022 and a record low of 1,616,385.776 Intl $ mn in 1990. China GDP: PPP: 2017 Price 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: Gross Domestic Product: Purchasing Power Parity. PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2017 international dollars.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;Gap-filled total;

Explore real GDP growth projections dataset, including insights into the impact of COVID-19 on economic trends. This dataset covers countries such as Spain, Australia, France, Italy, Brazil, and more.

growth rate, Real, COVID-19, GDP

Spain, Australia, France, Italy, Brazil, Argentina, United Kingdom, United States, Canada, Russia, Turkiye, World, China, Mexico, Korea, India, Saudi Arabia, South Africa, Germany, Indonesia, JapanFollow data.kapsarc.org for timely data to advance energy economics research..Source: OECD Economic Outlook database.- India projections are based on fiscal years, starting in April. The European Union is a full member of the G20, but the G20 aggregate only includes countries that are also members in their own right. Spain is a permanent invitee to the G20. World and G20 aggregates use moving nominal GDP weights at purchasing power parities. Difference in percentage points, based on rounded figures.

CONTEXT

"The Gross Domestic Product per capita, or GDP per capita, is a measure of a country's economic output that accounts for its number of people. It divides the country's gross domestic product by its total population." - https://www.thebalance.com/gdp-per-capita-formula-u-s-compared-to-highest-and-lowest-3305848

CONTENT

• Year - Years from 1-2018 A.D.
• Afganistan...Zimbabwe - Country's GDP p.c.

FILE INFO

• GDP.csv - GDP p.c. by Country starting from year 1 in CSV File
• GDP.xlsx - GDP p.c. by Country starting from year 1 in XLSX File

This dataset is about book subjects. It has 12 rows and is filtered where the books is A political economy of the United States, China, and India : prosperity with inequality. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in China town: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 41(2.21%) households where the householder is under 25 years old, 673(36.28%) households with a householder aged between 25 and 44 years, 782(42.16%) households with a householder aged between 45 and 64 years, and 359(19.35%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the town of China town, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for China town median household income by age. You can refer the same here

If you use the data, please cite as: Posen, Adam S., and Jiming Ha. (2017). US-China Cooperation in a Changing Global Economy. PIIE Briefing 17-1. Peterson Institute for International Economics.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in China Grove: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 107(5.37%) households where the householder is under 25 years old, 756(37.93%) households with a householder aged between 25 and 44 years, 699(35.07%) households with a householder aged between 45 and 64 years, and 431(21.63%) households where the householder is over 65 years old.
• The age group of under 25 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the town of China Grove, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for China Grove median household income by age. You can refer the same here

Techsalerator’s Import/Export Trade Data for China

Techsalerator’s Import/Export Trade Data for China provides an extensive and detailed collection of information on international trade activities involving Chinese companies. This dataset offers a thorough analysis of trade transactions, documenting and categorizing imports and exports across various industries within China.

To obtain Techsalerator’s Import/Export Trade Data for China, please contact info@techsalerator.com or visit https://www.techsalerator.com/contact-us with your specific requirements. Techsalerator will provide a customized quote based on your data needs, with delivery available within 24 hours. Ongoing access options can also be discussed.

Techsalerator's Import/Export Trade Data for China delivers an in-depth examination of trade activities, integrating data from customs reports, trade agreements, and shipping records. This comprehensive dataset assists businesses, investors, and trade analysts in understanding China’s trade landscape in detail.

Key Data Fields

• Company Name: Lists the companies involved in trade transactions, helping identify potential partners or competitors and track industry-specific trade patterns.
• Trade Volume: Details the quantity or value of goods traded, offering insights into the scale and economic impact of trade activities.
• Product Category: Specifies the types of goods traded, such as electronics or textiles, aiding in understanding market demand and supply chain dynamics.
• Import/Export Country: Identifies the countries of origin or destination for traded goods, providing insights into global trade relationships and market access.
• Transaction Date: Records the date of transactions, revealing seasonal trends and shifts in trade dynamics over time.

Top Trade Trends in China

• Trade Balance Dynamics: China’s trade balance exhibits significant fluctuations, influenced by major partners such as the United States and the European Union. Trade policies and negotiations play a crucial role in addressing imbalances and shaping trade relationships.
• US-China Trade Relations: The trade relationship with the United States remains pivotal, influenced by agreements and tariffs. This partnership impacts various aspects of China’s trade policies and practices.
• Expansion of Global Trade Networks: China is increasingly broadening its trade partners and markets, reflecting a trend towards more extensive global trade engagement.
• Growth in Technological Exports: China continues to experience substantial trade in technology products, including electronics and machinery, which are key components of its export economy.
• Emphasis on Sustainable Trade Practices: There is a growing focus on integrating sustainability into trade policies, promoting environmentally friendly practices and technologies.

Notable Companies in Chinese Trade Data

• Huawei Technologies: A leading telecommunications company involved in exporting and importing advanced technology and electronics, playing a significant role in China’s trade dynamics.
• Lenovo: A major player in the technology sector, known for its global trade in computing products and electronics.
• China National Petroleum Corporation (CNPC): A key entity in the energy sector, involved in the import and export of oil and gas products.
• Alibaba Group: A major e-commerce company that facilitates a substantial volume of international trade through its platforms.
• BYD: A significant player in the electric vehicle and battery industry, impacting China’s trade in automotive technology and related components.

Accessing Techsalerator’s Data

To obtain Techsalerator’s Import/Export Trade Data for China, please contact us at info@techsalerator.com with your requirements. We will provide a customized quote based on the number of data fields and records needed, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields:

• Company Name
• Trade Volume
• Product Category
• Import/Export Country
• Transaction Date
• Shipping Details
• Customs Codes
• Trade Value

For detailed insights into China’s import and export activities and trends, Techsalerator’s dataset is an invaluable resource for staying informed and making strategic decisions.

This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in The 2018 US-China Trade Conflict after 40 Years of Special Protection, PIIE Working paper 19-7.

If you use the data, please cite as: Bown, Chad P. (2019). The 2018 US-China Trade Conflict after 40 Years of Special Protection. PIIE Working paper 19-7. Peterson Institute for International Economics.