China Imports from United States was US$164.59 Billion during 2024, according to the United Nations COMTRADE database on international trade. China Imports from United States - data, historical chart and statistics - was last updated on December of 2025.

Imports from United States in China decreased to 11862668.27 USD Thousand in February from 14271016.33 USD Thousand in January of 2024. This dataset includes a chart with historical data for China Imports From Us.

Techsalerator’s Import/Export Trade Data for the United States

Techsalerator’s Import/Export Trade Data for the United States offers a comprehensive and insightful collection of information on international trade activities involving U.S. companies. This dataset provides a detailed examination of trade transactions, documenting and classifying imports and exports across various industries within the U.S.

To obtain Techsalerator’s Import/Export Trade Data for the United States, please reach out to info@techsalerator.com or visit Techsalerator 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 the United States delivers a thorough analysis of trade activities, integrating data from customs reports, trade agreements, and shipping records. This comprehensive dataset helps businesses, investors, and trade analysts understand the U.S. trade landscape in detail.

Key Data Fields

• Company Name: Lists the companies involved in trade transactions. This information helps identify potential partners or competitors and track industry-specific trade patterns.
• Trade Volume: Details the quantity or value of goods traded, providing insights into the scale and economic impact of trade activities.
• Product Category: Specifies the types of goods traded, such as raw materials or finished products, aiding in understanding market demand and supply chain dynamics.
• Import/Export Country: Identifies the countries of origin or destination for traded goods, offering insights into regional 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 the United States

• Trade Balance Dynamics: The U.S. trade balance fluctuates with major partners such as China, Canada, and Mexico. Ongoing trade negotiations and policy adjustments aim to address imbalances and foster more equitable trade relationships.
• U.S.-China Trade Relations: The trade relationship with China remains central, influenced by agreements and tariffs. This partnership shapes significant aspects of the U.S. trade policy and practices.
• Expansion of Global Trade Networks: The United States continues to diversify its trade partners and markets beyond traditional partners, reflecting a trend toward broader global trade engagement.
• Growth in Technology Exports: The U.S. sees substantial trade in technology products, including electronics and software, which play a critical role in 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 U.S. Trade Data

• Apple Inc.: A leading technology company involved in exporting electronics and importing components from various global suppliers.
• Boeing: A major aerospace manufacturer engaged in importing and exporting aircraft and aerospace products, impacting U.S. trade in the transportation sector.
• Cargill: A key player in agriculture, known for exporting and importing agricultural products, impacting the U.S. trade in commodities.
• Amazon: A significant e-commerce operator involved in the import and export of a wide range of goods, reflecting its role in the U.S. trade dynamics.
• General Motors: An important automotive manufacturer that engages in global trade of vehicles and automotive parts, highlighting the U.S. role in the automotive sector.

Accessing Techsalerator’s Data

To obtain Techsalerator’s Import/Export Trade Data for the United States, 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 the United States’ import and export activities and trends, Techsalerator’s dataset is an invaluable resource for staying informed and making strategic decisions.

Techsalerator’s Import/Export Trade Data for United States's $26.9 trillion economy provides a detailed and insightful collection of information on international trade activities involving companies in United States.

To obtain Techsalerator’s Import/Export Trade Data for the United States, please reach out to info@techsalerator.com with your 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 the United States offers a rich and detailed collection of information crucial for businesses, investors, and trade analysts. This dataset provides a thorough examination of trade activities, documenting and classifying import and export transactions across various U.S. industries. By integrating data from customs reports, trade agreements, and shipping records, the dataset delivers a comprehensive view of the U.S. trade landscape.

Key Data Fields

Company Name: Lists 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 raw materials or consumer products, aiding in understanding market demand and supply chain dynamics. Import/Export Country: Identifies the countries of origin or destination for traded goods, providing information on regional 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 the U.S.

Trade Deficit Dynamics: The U.S. continues to face a notable trade deficit, particularly with major partners like China and the European Union. Efforts are ongoing to address these imbalances through various policy measures and agreements. China-U.S. Trade Relations: The trade relationship with China remains pivotal, characterized by negotiations, tariffs, and agreements that impact global trade flows and supply chains. Shift Towards Regional Trade Agreements: There is a growing emphasis on regional agreements, such as the USMCA, which replaces NAFTA, reflecting a trend toward localized trade solutions. Growth in Technology and E-Commerce: Increased trade in technology products and a surge in e-commerce are reshaping trade patterns and logistics. Sustainability and Environmental Regulations: The U.S. is incorporating sustainability into trade policies, focusing on reducing carbon emissions and promoting green technologies. Notable Companies in U.S. Trade Data Apple Inc.: A major exporter of electronics and software, including iPhones and MacBooks, highlighting its significant role in U.S. trade. Amazon.com, Inc.: A leading e-commerce company with a substantial impact on international trade through its global sales and logistics network. Boeing Company: A key player in aerospace, exporting aircraft and components, contributing significantly to U.S. trade. Microsoft Corporation: Exporter of software, cloud services, and hardware, reflecting the importance of tech exports in the U.S. economy. ExxonMobil Corporation: A major exporter of energy products, including crude oil and refined products, impacting the energy sector of U.S. trade. Accessing Techsalerator’s Data

To obtain Techsalerator’s Import/Export Trade Data for the United States, please reach out to info@techsalerator.com with your 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.

Included Data Fields:

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

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

United States Imports from China was US$462.62 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from China - data, historical chart and statistics - was last updated on December of 2025.

China Exports to United States was US$525.65 Billion during 2024, according to the United Nations COMTRADE database on international trade. China Exports to United States - data, historical chart and statistics - was last updated on November of 2025.

Techsalerator’s Import/Export Trade Data for Saudi Arabia

Techsalerator’s Import/Export Trade Data for Saudi Arabia offers a comprehensive overview of international trade activities involving Saudi companies. This dataset provides an in-depth analysis of trade transactions, documenting and categorizing imports and exports across various industries within Saudi Arabia.

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

Techsalerator's Import/Export Trade Data for Saudi Arabia delivers a thorough analysis of trade activities, integrating data from customs reports, trade agreements, and shipping records. This detailed dataset helps businesses, investors, and trade analysts understand Saudi Arabia’s trade landscape comprehensively.

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, providing insights into the scale and economic impact of trade activities.
• Product Category: Specifies the types of goods traded, such as raw materials or finished products, aiding in understanding market demand and supply chain dynamics.
• Import/Export Country: Identifies the countries of origin or destination for traded goods, offering insights into regional 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 Saudi Arabia

• Trade Balance Dynamics: Saudi Arabia’s trade balance is influenced by major partners like China, the United States, and the European Union. Ongoing trade agreements and policy adjustments aim to optimize trade flows and address imbalances.
• Oil Exports Dominance: Saudi Arabia remains a leading global exporter of oil, with crude oil and petroleum products playing a central role in its export economy.
• Diversification Efforts: There is a significant push towards diversifying Saudi Arabia’s economy and trade portfolio beyond oil, with increased focus on sectors such as technology, renewable energy, and pharmaceuticals.
• Belt and Road Initiative: Saudi Arabia's participation in China’s Belt and Road Initiative is enhancing trade and infrastructure links between the two countries, promoting regional connectivity and economic collaboration.
• Sustainability and Innovation: Saudi Arabia is increasingly integrating sustainability into its trade practices, focusing on environmentally friendly technologies and sustainable supply chains.

Notable Companies in Saudi Trade Data

• Saudi Aramco: The world’s largest oil company, involved in exporting crude oil and petroleum products, significantly impacting Saudi Arabia’s trade dynamics.
• SABIC: A global leader in petrochemicals, contributing to Saudi Arabia’s exports in chemicals and plastics.
• Al Rajhi Bank: Engaged in financial services and trade financing, supporting various trade transactions across industries.
• Saudi Arabian Airlines: The national carrier, facilitating the import and export of goods through air freight services, impacting Saudi Arabia’s trade in the transportation sector.
• Saudi Basic Industries Corporation (SABIC): A major player in the manufacturing and export of chemicals and plastics, reflecting Saudi Arabia’s industrial strength.

Accessing Techsalerator’s Data

To obtain Techsalerator’s Import/Export Trade Data for Saudi Arabia, 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 Saudi Arabia’s import and export activities and trends, Techsalerator’s dataset is an invaluable resource for staying informed and making strategic decisions.

Time series data for the statistic Exports_China_to_the_United_States. Indicator Definition:Goods, Value of Exports, Free on board (FOB), US DollarsThe indicator "Goods, Value of Exports, Free on board (FOB), US Dollars" stands at 36.34 Billion as of 05/31/2025. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -17.60 percent compared to the value the year prior.The 1 year change in percent is -17.60.The 3 year change in percent is -30.16.The 5 year change in percent is -2.53.The 10 year change in percent is 1.28.The Serie's long term average value is 19.76 Billion. It's latest available value, on 05/31/2025, is 83.94 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 02/28/1990, to it's latest available value, on 05/31/2025, is +11,925.40%.The Serie's change in percent from it's maximum value, on 09/30/2021, to it's latest available value, on 05/31/2025, is -36.80%.

Time series data for the statistic Net_Trade_in_Goods_and_Services_USD and country China. Indicator Definition:Net trade in goods and services is derived by offsetting imports of goods and services against exports of goods and services. Exports and imports of goods and services comprise all transactions involving a change of ownership of goods and services between residents of one country and the rest of the world. Data are in current U.S. dollars.The statistic "Net Trade in Goods and Services USD" stands at 538,958,018,243.69 United States Dollars as of 12/31/2024. Regarding the One-Year-Change of the series, the current value constitutes an increase of 153,382,546,619.02 United States Dollars compared to the value the year prior.The 1 year change is 153,382,546,619.02 United States Dollars.The 3 year change is 77,463,725,484.34 United States Dollars.The 5 year change is 407,113,720,931.65 United States Dollars.The 10 year change is 317,658,771,296.42 United States Dollars.The Serie's long term average value is 139,683,796,122.29 United States Dollars. It's latest available value, on 12/31/2024, is 399,274,222,121.40 United States Dollars higher, compared to it's long term average value.The Serie's change in United States Dollars from it's minimum value, on 12/31/1985, to it's latest available value, on 12/31/2024, is +551,550,018,243.69 .The Serie's change in United States Dollars from it's maximum value, on 12/31/2022, to it's latest available value, on 12/31/2024, is -38,650,921,488.91 .

Exports to United States in China decreased to 30786817 USD Thousand in February from 42633059 USD Thousand in January of 2024. This dataset includes a chart with historical data for China Exports To Us.

Description

This dataset provides monthly economic indicators examining the relationship between US protectionist trade policies and Chinese economic growth from May 2022 to May 2025. The dataset can be used for academic research, statistical analysis, and educational purposes in international economics and trade policy studies.

Context

The dataset captures the economic dynamics during a period of heightened trade tensions between the United States and China. It includes comprehensive indicators of US protectionist measures and their potential impact on various dimensions of Chinese economic performance.

Dataset Structure

Time Period: May 2022 - May 2025 Frequency: Monthly Total Observations: 1127 Total Variables: 14

Column Descriptions

Date

• Type: Categorical (YYYY-MM format)
• Description: Month and year of observation

US Protectionism Indicators

US_Tariff_Index

• Type: Continuous
• Range: 100-120
• Description: Tariff rate index where 100 represents the baseline. Higher values indicate increased protectionist measures.

US_Trade_Restrictions

• Type: Discrete
• Range: 5-15
• Description: Number of new trade restrictions implemented per month, including tariffs, quotas, and non-tariff barriers.

US_AntiDumping_Cases

• Type: Discrete
• Range: 0-12
• Description: Number of anti-dumping cases filed against Chinese products per month.

US_Trade_Policy_Uncertainty

-Type: Continuous - Range: 90-160 - Description: Index measuring uncertainty in trade policy (0-200 scale). Higher values indicate greater uncertainty.

Chinese Growth Indicators

China_GDP_Growth_YoY

• Type: Continuous
• Unit: Percentage (%)
• Range: 3.5-5.5%
• Description: Year-over-year GDP growth rate for China.

China_Industrial_Production_YoY

• Type: Continuous
• Unit: Percentage (%)
• Range: 2.5-5.0%
• Description: Year-over-year change in industrial production output.

China_Exports_Growth_YoY

• Type: Continuous
• Unit: Percentage (%)
• Range: 0-15%
• Description: Year-over-year growth rate of Chinese exports.

China_Manufacturing_PMI

• Type: Continuous
• Range: 47-52
• Description: Purchasing Managers' Index for manufacturing sector. Values >50 indicate expansion, <50 indicate contraction.

China_FDI_Inflow_USD_Billion

• Type: Continuous
• Unit: Billion USD
• Range: 7-15
• Description: Monthly foreign direct investment inflows into China.

Bilateral Trade Indicators

US_China_Trade_Volume_USD_Billion

• Type: Continuous
• Unit: Billion USD
• Range: 40-60
• Description: Total monthly bilateral trade volume between US and China.

US_Trade_Deficit_China_USD_Billion

• Type: Continuous
• Unit: Billion USD
• Range: -32 to -24
• Description: US trade deficit with China. Negative values indicate deficit.

Additional Economic Indicators

USD_CNY_Exchange_Rate

• Type: Continuous
• Range: 6.7-7.3
• Description: Exchange rate expressing yuan per US dollar.

China_Stock_Index

• Type: Continuous
• Range: 2,800-3,500
• Description: Shanghai Composite Stock Index (normalized).

All datasets used in this study are sourced from publicly available international organization databases. These databases adhere to the principle of open access and have no third-party usage restrictions or special constraints. Therefore, all data can be directly obtained from the official websites of the corresponding databases.The detailed information and links of these databases are as follows: United Nations Conference on Trade and Development (UNCTAD) database： （URL:https://unctad.org/statistics ）,UN Comtrade database：（URL:https://comtrade.un.org/ ）,World Trade Organization (WTO) database：（URL:https://www.wto.org/english/res_e/statis_e/statis_e.htm ）,Trade Remedy Information Network of the Ministry of Commerce of the People’s Republic of China：（URL:https://cacs.mofcom.gov.cn/cacscms/view/statistics/ckajtj ）,Global Database of Events, Language, and Tone（GDELT） database：（URL:https://www.gdeltproject.org/ ）.If researchers encounter any issues during the data acquisition process, they are welcome to contact the corresponding author, Minhua Lu, at the email address lumark@shisu.edu.cn

The Agricultural Statistics of the People's Republic of China, 1949-1990 is an historical collection of agricultural statistical data compiled by China's State Statistical Bureau (SSB). The collection contains 297 variables covering social and economic indicators, commodities, price index, production, trade, and consumption. The data are provided at the national level (1949-1990) and the provincial level (1979-1990). This data set is produced in collaboration with the United States Department of Agriculture (USDA), SSB, and the Center for International Earth Science Information Network (CIESIN).

This dataset presents information concerning 8- and 10-digit trade codes related to the rechargeable lithium-ion battery (LIB) supply chain for the People's Republic of China (PRC) and the European Union, and the United States as classified by Customs and Border Protection (CBP) rulings. Note that this dataset is not intended to be a complete or comprehensive list of trade codes for the LIB supply chain; rather, it presents trade codes from the PRC and the EU that more granularly classify products related to LIB supply chain in comparison to the Harmonized Tariff Schedule of the United States (HTSUS). CBP rulings are included to indicate existing classification decisions for relevant products related to the LIB supply chain. Disaggregated trade codes offer more detailed insight into trade flows, supply chains, and the state of domestic and international industries. The dataset covers raw materials, refined and processed materials, battery materials, cell components, batteries and battery components, end-of-life batteries, and machinery. Tariff line information was assembled through conversations with experts and reviews of supply chain process flows in concert with an examination of trade databases, domestic trade documentation, and primary international customs import and export tariff documents.

About this dataset

Context

The dataset tabulates the China population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of China across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of China was 1,282, a 0.71% increase year-by-year from 2022. Previously, in 2022, China population was 1,273, a decline of 0.70% compared to a population of 1,282 in 2021. Over the last 20 plus years, between 2000 and 2023, population of China increased by 120. In this period, the peak population was 1,289 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the China is shown in this column.
• Year on Year Change: This column displays the change in China population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Year. You can refer the same here

Time series data for the data Current Account and Its Components - Current USD, TTM for the country China. The Current Account and Its Components The current account is a component of a country's balance of payments that records the transactions of goods, services, income, and current transfers between residents of the country and the rest of the world. It consists of four main components:

a. Trade in Goods Balance

b. Trade in Services Balance

c. Primary Income Balance

d. Secondary Income Balance

1. Trade in Goods Balance Definition: This includes the export and import of physical items such as machinery, food, clothing, etc.

Credit Example: A German car manufacturer exports cars to the United States (value of exported cars).

Debit Example: A German electronics retailer imports smartphones from South Korea (value of imported smartphones).

1. Trade in Services Balance Definition: This includes the export and import of services such as tourism, financial services, consulting, transportation, etc.

Credit Example: A German IT company provides software development services to a client in Japan (value of exported services).

Debit Example: A German tourist books a hotel room in France (value of imported tourism services).

1. Primary Income Balance Definition: This includes earnings from the provision of factors of production such as labor, financial assets, land, and natural resources. It covers income from interest, profits, and dividends.

Credit Example: A German investor receives dividends from shares held in a U.S. company (value of received dividends).

Debit Example: Foreign investors receive interest payments on bonds issued by a German company (value of interest payments).

1. Secondary Income Balance Definition: This includes current transfers such as foreign aid, remittances, and other one-way payments that do not involve an exchange of goods or services.

Credit Example: Remittances sent by German residents working abroad to their families in Germany (value of received remittances).

Debit Example: Germany sends humanitarian aid to a developing country (value of sent aid). Secondary Income Balance (USD)The indicator "Secondary Income Balance (USD)" stands at 14.19 Billion United States Dollars as of 3/31/2025. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.6144 Billion United States Dollars compared to the value the year prior.The 1 year change is 0.6144 Billion United States Dollars.The 3 year change is -2.95 Billion United States Dollars.The 5 year change is 5.75 Billion United States Dollars.The 10 year change is 17.47 Billion United States Dollars.The Serie's long term average value is 13.68 Billion United States Dollars. It's latest available value, on 3/31/2025, is 0.52 Billion United States Dollars higher, compared to it's long term average value.The Serie's change in United States Dollars from it's minimum value, on 9/30/2017, to it's latest available value, on 3/31/2025, is +27.83 Billion.The Serie's change in United States Dollars from it's maximum value, on 9/30/2008, to it's latest available value, on 3/31/2025, is -29.66 Billion.Trade in Services Balance (USD)The indicator "Trade in Services Balance (USD)" stands at -227.06 Billion United States Dollars as of 3/31/2025. Regarding the One-Year-Change of the series, the current value constitutes an decrease of -0.3885 Billion United States Dollars compared to the value the year prior.The 1 year change is -0.3885 Billion United States Dollars.The 3 year change is -141.70 Billion United States Dollars.The 5 year change is 23.05 Billion United States Dollars.The 10 year change is -17.70 Billion United States Dollars.The Serie's long term average value is -103.37 Billion United States Dollars. It's latest available value, on 3/31/2025, is -123.69 Billion United States Dollars lower, compared to it's long term average value.The Serie's change in United States Dollars from it's minimum value, on 12/31/2018, to it's latest available value, on 3/31/2025, is +65.52 Billion.The Serie's change in United States Dollars from it's maximum value, on 9/30/2007, to it's latest available value, on 3/31/2025, is -234.92 Billion.Trade in Goods Balance (USD)The indicator "Trade in Goods Balance (USD)" stands at 885.97 Billion United States Dollars as of 3/31/2025, the highest value at least since 6/30/2001, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 288.50 Billion United States Dollars compared to the value the year prior.The 1 year change is 288.50 Billion United States Dollars.The 3 year change is 301.62 Billion United States Dollars.The 5 year change is 553.89 Billion United States Dollars.The 10 year change is 376.42 Billion United States Dollars.The Serie's long term average value is 339.77 Billion United States Dollars. It's latest available value, on ...

About this dataset

Context

The dataset tabulates the China town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of China town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of China town was 4,528, a 1.23% increase year-by-year from 2021. Previously, in 2021, China town population was 4,473, an increase of 1.34% compared to a population of 4,414 in 2020. Over the last 20 plus years, between 2000 and 2022, population of China town increased by 421. In this period, the peak population was 4,528 in the year 2022. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the China town is shown in this column.
• Year on Year Change: This column displays the change in China town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Year. You can refer the same here

This uniquely granular dataset captures 13,427 development projects worth $843 billion financed by more than 300 Chinese government institutions and state-owned entities across 165 countries in every major region of the world from 2000-2017.

About this dataset

Context

The dataset tabulates the China population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of China across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of China was 1,273, a 0.55% decrease year-by-year from 2021. Previously, in 2021, China population was 1,280, a decline of 0.62% compared to a population of 1,288 in 2020. Over the last 20 plus years, between 2000 and 2022, population of China increased by 111. In this period, the peak population was 1,288 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the China is shown in this column.
• Year on Year Change: This column displays the change in China population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Year. You can refer the same here

We analyze whether--and, if so, how--Americans reacted to the escalation of the trade war between the United States and China in June 2018. To address this issue, we leverage surveys conducted in the U.S. during this phase of the economic clash. We find a significant reduction in support for Donald Trump and his trade policy immediately following the announcement of retaliatory tariffs by the Chinese government. Moreover, respondents’ economic concerns about the trade war were primarily sociotropic and only weakly related to personal pocketbook considerations or local exposure to Chinese retaliatory tariffs. We also find that the trade war's intensification was politically consequential, decreasing support for Republican candidates in the 2018 midterm elections. Our findings indicate that trade wars can be politically costly for incumbent politicians, even among voters who are not directly affected by retaliatory tariffs.