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.

Historical dataset showing China economic growth by year from 1960 to 2023.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Economic growth is central to economic development. When national income grows, real people benefit. While there is no known formula for stimulating economic growth, data can help policy-makers better understand their countries' economic situations and guide any work toward improvement. Data here covers measures of economic growth, such as gross domestic product (GDP) and gross national income (GNI). It also includes indicators representing factors known to be relevant to economic growth, such as capital stock, employment, investment, savings, consumption, government spending, imports, and exports.

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.

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

Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Climate Change, External Debt, Trade.

Economic Activity Index in China decreased to 50.80 points in October from 51.70 points in September of 2021. This dataset provides - China Economic Activity Index- actual values, historical data, forecast, chart, statistics, economic calendar and news.

CN: Gross Domestic Product: Chongqing data was reported at 723.200 RMB bn in Mar 2024. This records a decrease from the previous number of 789.793 RMB bn for Sep 2023. CN: Gross Domestic Product: Chongqing data is updated quarterly, averaging 727.771 RMB bn from Mar 2022 (Median) to Mar 2024, with 8 observations. The data reached an all-time high of 829.397 RMB bn in Dec 2022 and a record low of 643.200 RMB bn in Mar 2022. CN: Gross Domestic Product: Chongqing 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.AA: Gross Domestic Product: by Province: Quarterly.

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.

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.

Loans to Private Sector in China increased to 839997.99 CNY Hundred Million in June from 834021.23 CNY Hundred Million in May of 2025. This dataset provides - China Loans To Private Sector - actual values, historical data, forecast, chart, statistics, economic calendar and news.

China GDP: Linked Series data was reported at 126,058,207.463 RMB mn in 2023. This records an increase from the previous number of 120,472,395.262 RMB mn for 2022. China GDP: Linked Series data is updated yearly, averaging 24,476,539.927 RMB mn from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 126,058,207.463 RMB mn in 2023 and a record low of 1,887,286.883 RMB mn in 1990. China GDP: Linked Series 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: Nominal. GDP is the sum of gross value added by all resident producers in the economy 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. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. Data are in current local currency.;World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.;;

GDP from Services in China increased to 390313.80 CNY Hundred Million in the second quarter of 2025 from 195142.30 CNY Hundred Million in the first quarter of 2025. This dataset provides - China Gdp From Services- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The China County-Level Data on Provincial Economic Yearbooks, Keyed To 1:1M GIS Map consists of socioeconomic and boundary data for the administrative regions of China for 1990 and 1991. The socioeconomic data includes natural resources, population, employment, investment, wage, public finance, price, people's livelihood, agriculture, industry, energy, production, transportation, telecommunication, construction, trade, tourism, environmental protection, education, science, patents, culture, sports, health care, and social welfare. The boundary data are at a scale of one to one million (1:1M) at the county level. This data set is produced in collaboration with the University of Washington as part of the China in Time and Space (CITAS) project, University of Michigan Center of China Studies (CCS), and the Center for International Earth Science Information Network (CIESIN).

China Industrial Enterprise: Current Asset data was reported at 92,037.690 RMB bn in Mar 2025. This records an increase from the previous number of 90,242.820 RMB bn for Feb 2025. China Industrial Enterprise: Current Asset data is updated monthly, averaging 36,986.233 RMB bn from Dec 1998 (Median) to Mar 2025, with 290 observations. The data reached an all-time high of 92,515.880 RMB bn in Nov 2024 and a record low of 4,374.037 RMB bn in Mar 1999. China Industrial Enterprise: Current Asset data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OE: Industrial Enterprise.

This dataset contains four files: (1) Raw data of 13 indicators closely related to society, economy, environment, infrastructure, and innovation at the provincial level in China from 1990 to 2021, including GDP per capita, disposable income per capita, rate of high school graduates and above, density of physicians per 10,000 people, unemployment rate, living space per capita, PM2.5 concentration, carbon emission per capita, urban green space per capita, road density, internet penetration rate, patents granted per capita, and R&D expenditure per capita; (2) Population-weighted coefficient of variation for the 13 indicators; (3) Gini coefficient for the 13 indicators; (4) Moran's I for the 13 indicators.

The digital economy (DE) has become a major breakthrough in promoting industrial upgrading and an important engine for high-quality economic growth. However, most studies have neglected the important driving effect of regional economic and social (RES) development on DE. In this paper, we discuss the mechanism of RES development promoting the development of DE, and establish a demand-driven regional DE development model to express the general idea. With the help of spatial analysis toolbox in ArcGIS software, the spatial development characteristics of DE in the Yangtze River Delta City Cluster (YRDCC) is explored. We find the imbalance of spatial development is very significant in YRDCC, no matter at the provincial level or city level. Quantitative analysis reveals that less than 1% likelihood that the imbalanced or clustered pattern of DE development in YRDCC could be the result of random chance. Geographically weighted regression (GWR) analysis with publicly available dataset of YRDCC indicates RES development significantly promotes the development of DE.

The ocean economic input-output (IO) tables are essential databases for analyzing the ocean economy. However, the IO tables issued by Chinese government's statistical department adopt the conventional economic sector classifications, which fall short in capturing the heterogeneity of the ocean and land sectors. To fill this gap, we used the stripping coefficient method to construct the ocean economic IO tables of 11 coastal provinces in China, relying on the latest official provincial IO tables in 2017 and ocean economy data published by official institutions. The provincial ocean economic IO tables, which reflect the interconnectedness among 13 ocean sectors and 42 land sectors, could be widely used to support the ocean policy evaluation at the provincial level. To clarify the interlinkage between Chinese ocean economies and foreign economies, we further differentiated the Chinese ocean sectors from a global multi-regional input-output table that contains Chinese provinces. This dataset could be used to evaluate the development of ocean economy in China from a global perspective.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in China: 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 34(8.17%) households where the householder is under 25 years old, 107(25.72%) households with a householder aged between 25 and 44 years, 127(30.53%) households with a householder aged between 45 and 64 years, and 148(35.58%) 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 65 years and over bracket. This distribution hints at economic disparities within the city of China, 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 median household income by age. You can refer the same here

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.