This study investigates a novel dataset comprised of a universe of 537 donations in 33 countries in Latin America and the Caribbean, between February 11 and June 20, 2020, which provides a high level of detail on China’s and Taiwan’s mask diplomacy. We describe who the main donors were, who the main recipients were, what was donated to each country, and which variables explain why some countries received more aid than the others. Drawing on previous literature, the article advances understanding about the political determinants of these donations. Our findings revealed that, although seemingly uncoordinated, donations made by China's central government, Chinese companies, cities, and foundations were strongly affected by two political determinants, namely the recipient’s partnership status with China and the One China Policy. Furthermore, aid provided by China’s Central Government was larger in autocracies than in democracies.

"Text Author Scholarship Metadata.tab" includes all the metadata on primary text titles, publication years, authorial gender, authorial race and ethnicity, and scholarship year that we collected and used to derive the results on contemporaneity, gender balance, and ethnic inequalities. Some of the metadata we used was proprietary to the MLA Bibliography so we cannot share more information on each piece of scholarship that cites an Asian American primary text. We have included accession numbers that will take you to the relevant record in the MLA bibliography (and DOIs for scholarship from Amerasia journal, which is not indexed in the MLA bibliography). "Chinese and Filipinx ethnic specific and panethnic citations.tab" includes all the metadata we used to calculate the results presented in figures 6 and 7. The citation counts under the panethnic label were derived from the metadata in "Text Author Scholarship Metadata.tab". The citation counts under the ethnic specific labels were collected from the MLA bibliography through searches for "Chinese American" "Filipino American/Filipino/Filipina" in the titles and abstracts of scholarly works. The topic modeling results in the article were based on a corpus accessed through the HathiTrust Research Center, with about 100 additional texts we digitized ourselves since they are not available in Hathi. "Topic modeling corpus composition.tab" shows the texts in that corpus and their HathiTrust IDs if the text was from Hathi. (Note that the corpus includes some cited pieces that are part of larger collections—a short story in a story collection, for instance. The Hathi IDs listed for such works are IDs for the whole collection. We cut down such texts to just the piece cited before topic modeling them. There are also instances where both a piece from a collection and the whole collection were cited. In those instances, we included both the whole collection and the piece in our corpus.) "Topics, top words, ethnic coding.tab" shows the topics generated from this corpus when we ran MALLET, the top 50 words in each topic, and how we coded each topic for ethnic affiliation. "Topic percentages in chunked texts.tab" shows the proportional makeup measure MALLET attributed to each topic for each 1000-word text chunk in the corpus. We averaged the proportional makeup percentages for ethnically affiliated topics across all the chunks of a text and then weighted these results by the number of times the text has been cited in Asian Americanist scholarship. Those results are presented in "Percentages of ethnically coded topics in whole texts weighted by citations.tab".

It is an important basis for the research on the prevention and early warning mechanism of alien invasive plants in China to figure out the types of alien plants in China, where they come from, how to enter China, what kind of groups of these alien plants are, as well as their biological and ecological characteristics. The information of alien plants recorded in Flora of China (Chinese edition), Flora of China (English edition) and their records in the Chinese province flora is very limited since various reason. At present, there is no complete database reflecting the information of alien plants in China. By integrating materials related to alien plants in recent years, and textual research on the origin and added habits of alien plants through literature, and then using computer network, databases and big data analysis technical means, after information treatment and taxonomic correction, with reconstruction of the classification, this paper finally determines the species directory data set of the book. There are 14710 data in this set, with 14710 groups of Chinese alien plants belonging to 3233 genera and 283 families (including 13401 original species, 332 hybrids, 2 chimeras, 458 subspecies, 503 varieties and 14 forms). Each taxa includes basic information such as categories of plants, Chinese family, family name, Chinese genus, genus, Chinese name, alias, scientific name, author, survival status, survival time, growth status, country or region of origin and province of Chinese distribution. The data set shows that alien plants have accounted for a considerable proportion in the composition of the Chinese plant species (at present, there are 37464 groups of native plants in China (including infraspecies), and with 14710 alien groups, the proportion of exotic plants is as high as 28.19%). In terms of survival status, cultivated plants account for 91% of all exotic plants, escape plants account for 7.36%, naturalized plant account for 6.69% and invasive plants account for 2.66%; The analysis of life forms shows that perennial groups account for the vast majority of alien plants (13625 species, about 92.6%), and the number of herbs (8937 species, about 60.8%) is more than that of trees (2752 species, about 18.7%), shrubs (4916 species, about 33.4%) as well as other life forms. Most of the alien plants in China were from North America (4242 species), Africa (3707 species), South America (3645 species), Asia (3102 species), Europe (1690 species) and Oceania (1305 species). The top 10 provinces and cities in China with more exotic plants are Taiwan (6122 species), Beijing (5244 species), Fujian (3667 species), Guangdong (3544 species), Yunnan (3404 species), Shanghai (2924 species), Jiangsu (2183 species), Jiangxi (1789 species), Zhejiang (1658 species) and Hubei (973 species). This data set is the first comprehensive and systematic collation of alien plants in China. It can be used as a reference for research related to alien plants, as well as basic data for plant diversity research. It can also be used as a reference book for people in agriculture, forestry, grassland, gardens, herbal medicine, nature protection and environmental protection, as well as teachers and students in colleges and universities.

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 September of 2025.

About this dataset

Context

The dataset tabulates the population of China by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for China. The dataset can be utilized to understand the population distribution of China by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in China. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for China.

Key observations

Largest age group (population): Male # 15-19 years (53) | Female # 30-34 years (103). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the China population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the China is shown in the following column.
• Population (Female): The female population in the China is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in China for each age group.

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 Gender. You can refer the same here

This study aimed to describe the prevalence of financial maltreatment, and to identify culture related risk factors of financial maltreatment, among a group of Chinese American elders living in the Phoenix metropolitan area. Researchers sought solutions to financial neglect and exploitation of Chinese American elders who have enormous adaptive challenges and lack a harmonious and supportive family environment, as well as frameworks for understanding the cultural environment that can be used by social workers, law enforcement, and service providers.

This dataset is derived from the Whoʻs Who of American Returned Students 遊美同學錄 [Youmei Tongxue Lu] published in Peking [Beijing] in 1917, compiled by the Returned Students’ Information Bureau (Liumei xuesheng tongxunchu 留美學生通訊處) established at Tsinghua School in 1915. This book is crucial for documenting the early liumei's experiences during the transitional period between the late Qing dynasty and the early years of the Republic (1911-).

The dataset records all the institutions to which the students were affiliated in the course of their lives, including the educational institutions in which they studied in China, the United States, and other countries; the public or private organizations in which they were employed; as well as their memberships in clubs and associations. The names of organizations were retrieved automatically from the Chinese biographies using named entity recognition (SpaCy model), then manually cleaned, classified, and validated by the author.

The attached file contains three tabs for (1) the list of affiliations (data); (2) the classification of organizations (class), and (3) the description of variables (key). The dataset records a total of 2,883 affiliations, linking 401 unique individuals to 1,344 unique institutions, distributed as followed:

    category
    n


    education
    565


    association
    271


    administration
    132


    business
    110


    facility
    92


    media
    66


    government
    49


    factory
    30


    other
    22


    military
    7

BackgroundAlthough publications have been increasing rapidly, the research quality has yet to improve in the field of critical care medicine (CCM) in China. This study aimed at investigating the current status of and the influential factors for impactful publications in CCM research by Chinese authors.MethodsPublications by authors with the affiliation of critical care medicine department or intensive care unit (CCM/ICU) in Chinese as well as American hospitals from 2001 to 2020 were retrieved from the Web of Science Core Collection (WoSCC) database for this bibliometric analysis. Moreover, statistical analyses to test factors affecting impactful publications by Chinese authors were performed.ResultsOf 13,487 articles retrieved by this search strategy, 6,622 were published by Chinese authors as first or corresponding authors. The annual publications by Chinese authors have been rapidly increasing from 2001 to 2020, and so did the citations to these articles. However, the proportion in the world of publications by Chinese authors was much less than that by American authors each year [M (IQR): 1.85 (9.592) vs. 27.77 (7.3), p < 0.001]. In addition, impactful articles were significantly less published by Chinese than by American authors, including articles either in journals with a high impact factor (p < 0.001) or in the top 10 journals in the field of CCM (5.4 vs 13.4%, p < 0.001), and articles with high citation frequency as well (p < 0.001). Moreover, the percentage of impactful publications by Chinese authors was likely associated with academic background and regions of the author's affiliations, funds support, public health events of COVID-19, and collaboration between authors.ConclusionOur results demonstrated that CCM research in China grew rapidly in the recent 20 years. However, the impactful publications remained limited, largely owing to the shortage of comprehensive research training, inactive collaboration, and underfunded CCM research.

Opinion on questions concerning security policy. East-West comparison. Topics: Satisfaction with the standard of living; attitude to France, Great Britain, Italy, USA, USSR, Red China and West Germany; preferred East-West-orientation of one´s own country and correspondence of national interests with the interests of selected countries; judgement on the American, Soviet and Red Chinese peace efforts; judgement on the foreign policy of the USA and the USSR; trust in the foreign policy capabilities of the USA; the most powerful country in the world, currently and in the future; comparison of the USA with the USSR concerning economic and military strength, nuclear weapons and the areas of culture, science, space research, education as well as the economic prospects for the average citizen; significance of a landing on the moon; Soviet citizen or American as first on the moon; assumed significance of space research for military development; attitude to a united Europe and Great Britain´s joining the Common Market; preferred relation of a united Europe to the United States; fair share of the pleasant things of life; lack of effort or fate as reasons for poverty; general contentment with life; perceived growth rate of the country´s population and preference for population growth; attitude to the growth of the population of the world; preferred measures against over-population; attitude to a birth control program in the developing countries and in one´s own country; present politician idols in Europe and in the rest of the world; attitude to disarmament; trust in the alliance partners; degree of familiarity with the NATO and assessment of its present strength; attitude to a European nuclear force; desired and estimated loyalty of the Americans to the NATO alliance partners; evaluation of the development of the UN; equal voice for all members of the UN; desired distribution of the UN financial burdens; attitude to an acceptance of Red China in the United Nations; knowledge about battles in Vietnam; attitude to the Vietnam war; attitude to the behavior of America, Red China and the Soviet Union in this conflict; attitude to the withdrawal of American troops from Vietnam and preferred attitude of one´s own country in this conflict and in case of a conflict with Red China; opinion on the treatment of colored people in Great Britain, America and the Soviet Union; judgement on the American Federal Government and on the American population regarding the equality of Negros; degree of familiarity with the Chinese nuclear tests; effects of this test on the military strength of Red China; attitude to American private investments in the Federal Republic; the most influential groups and organizations in the country; party preference; religiousness. Interviewer rating: social class of respondent. Additionally encoded were: number of contact attempts; date of interview. Beurteilung von Sicherheitsfragen. Ost-West-Vergleich. Themen: Zufriedenheit mit dem Lebensstandard; Einstellung zu Frankreich, Großbritannien, Italien, USA, UdSSR, Rotchina, Westdeutschland; präferierte Ost-West-Orientierung des eigenen Landes und Übereinstimmung der Landesinteressen mit den Interessen ausgewählter Länder; Beurteilung der Friedensbemühungen Amerikas, der Sowjetunion und Rotchinas; Beurteilung der Außenpolitik der USA und der UdSSR; Vertrauen in die außenpolitischen Fähigkeiten der USA; mächtigstes Land der Erde, derzeit und zukünftig; Vergleich der USA mit der UdSSR bezüglich der militärischen und wirtschaftlichen Stärke, der Atomwaffen und auf den Gebieten Kultur, Wissenschaft, Weltraumforschung, Bildung sowie der wirtschaftlichen Aussichten für den Durchschnittsbürger; Bedeutung einer Mondlandung; Sowjetbürger oder Amerikaner als erster auf dem Mond; vermutete Bedeutung der Weltraumforschung für die militärische Entwicklung; Einstellung zu einem vereinten Europa und zu einem Beitritt Großbritanniens zum Gemeinsamen Markt; präferierte Beziehung eines vereinten Europas zu den Vereinigten Staaten; gerechter Anteil an den angenehmen Dingen des Lebens; fehlende Anstrengung oder Schicksal als Gründe für Armut; allgemeine Lebenszufriedenheit; perzipierte Zuwachsrate der Bevölkerung im Lande und Präferenz für Bevölkerungszuwachs; Einstellung zu einem Anwachsen der Weltbevölkerung; präferierte Maßnahmen zur Bekämpfung einer Überbevölkerung; Einstellung zu einem Geburtenkontrollprogramm in den Entwicklungsländern und im eigenen Lande; gegenwärtige Politikeridole in Europa und in der übrigen Welt; Einstellung zur Abrüstung; Vertrauen in die Bündnispartner; Bekanntheitsgrad der Nato und Einschätzung ihrer derzeitigen Stärke; Einstellung zu einer europäischen Atomstreitmacht; gewünschte und eingeschätzte Loyalität der Amerikaner gegenüber den Nato-Bündnispartnern; Einschätzung der Entwicklung der UNO; gleiches Mitspracherecht für alle UNO-Mitglieder; gewünschte Verteilung der UNO-Finanzlasten; Einstellung zu einer Aufnahme Rotchinas in die Vereinten Nationen; Kenntnisse über Kämpfe in Vietnam; Einstellung zum Vietnamkrieg; Einstellung zum Verhalten Amerikas, Rotchinas und der Sowjetunion in diesem Konflikt; Einstellung zum Rückzug amerikanischer Truppen aus Vietnam und präferierte Haltung des eigenen Landes in diesem Konflikt und im Falle eines Konfliktes mit Rotchina; Beurteilung der Behandlung von Farbigen in Großbritannien, Amerika und der Sowjetunion; Beurteilung der amerikanischen Bundesregierung und der amerikanischen Bevölkerung in bezug auf die Gleichberechtigung für Neger; Bekanntheitsgrad der chinesischen Atombombenversuche; Auswirkungen dieses Versuchs auf die militärische Stärke Rotchinas; Einstellung zu amerikanischen Privatinvestitionen in der Bundesrepublik; einflußreichste Gruppen und Organisationen im Lande; Parteipräferenz; Religiosität. Interviewerrating: Schichtzugehörigkeit des Befragten. Zusätzlich verkodet wurde: Anzahl der Kontaktversuche; Interviewdatum.

The National Asian American Survey (NAAS) Post-Election Survey, 2016 contains nationally representative data from telephone interviews of adult U.S. residents who self-identified as Asian/Asian American, Native Hawaiian or Pacific Islander, White, African American/Black, Hispanic/Latino, and Multiracial. The survey included sizable samples of Asian Americans in 9 Asian national origin groups (Chinese, Filipino, Indian, Vietnamese, Korean, Japanese, Hmong, Cambodian), as well as Native Hawaiian/Pacific Islanders. The survey instrument included questions about immigrant background, social identities, social attitudes, political behavior, and policy attitudes. Demographic information included age, race, language, gender, country of birth, religion, marital status, educational level, employment status, citizenship status, household income, and size of household. The study contains 2 data files, public-use and restricted-use versions of the same dataset (386 variables, 6448 cases).

This data set consists of the taxonomically harmonized and temporally standardized fossil pollen data from 3680 records. 1122 records are located in North America, 1446 records in Europe, 687 records in Asia, 185 records in South America, 159 in Africa and 81 in the Indo-Pacific region. We expanded the previous version of the LegacyPollen 1.0 data set (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) with records from the Neotoma Paleoecology Database (https://www.neotomadb.org/; last access: August 31, 2022), ACER 1.0 database (Sánchez Goñi et al., 2017; https://doi.org/10.1594/PANGAEA.870867), Chinese fossil pollen dataset (Zhou et al., 2023, https://www.plant-ecology.com/CN/Y2023/V47/I10/1453 [in Chinese]; Cao et al., 2022, https://doi.org/10.1111/gcb.16274), and our own collection for the Asian sector. Taxonomic harmonization (i.e., woody taxa and major herbaceous taxa have been harmonized to genus level and other herbaceous taxa to family level) and temporal standardization (i.e., re-estimation of age-depth models) follow the previously established frameworks LegacyPollen 1.0 (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) and LegacyAge 1.0 (Li et al., 2022; https://doi.org/10.5194/essd-14-1331-2022), respectively. In compiling the dataset, we also followed the practices recommended by Flantua et al. (2023; https://doi.org/10.1111/geb.13693) for large-scale paleoecological data synthesis, such as how to select data sources and filter the dataset.Compared to the LegacyPollen 1.0 dataset, we now include the Neotoma DOI (if Neotoma source) in the overview table of site metadata to eliminate the broken chain of static LegacyPollen 2.0 dataset with living (such as updating discovered metadata errors and chronologies) Neotoma and associated risk of data staleness. Furthermore, we also added the PANGAEA Event (PANGAEA dataset identifier) for each new record to ensure that our dataset meets PANGAEA's high standards for quality, usability, and compliance.

ObjectiveFew comparisons have been implemented between different prenatal care utilization indices and their effects on adverse outcomes. This study investigated the appropriateness of Chinese antenatal care (ANC) regulations and compared Chinese and American adequacy of prenatal care utilization (APNCU) scores.MethodsFrom 2010 to 2022, the medical records of 60,114 pregnant women were collected from the electronic medical record system (EMRS) in Zhoushan, China. ANC utilization was measured using the APNCU score and five times antenatal care (ANC5). Birth weight outcomes, including small for gestational age (SGA) and large for gestational age (LGA), low birth weight (LBW), macrosomia, birth weight, and preterm birth (PTB), were utilized as outcomes. Multinomial, linear, and logistic regression were used to analyze the association of ANC5 and APNCU with outcomes, respectively. Crossover analysis was implemented to compare the interaction between ANC5 and APNCU on the outcomes.ResultsWomen who received inadequate prenatal care had increased odds for PTB (ANC5: odds ratio (OR) = 1.12, 95% confidence interval (95%CI) = 1.03–1.21; APNCU: OR = 1.18, 95%CI: 1.07–1.29), delivering SGA infants (ANC5: OR = 1.13, 95%CI = 1.07–1.21; APNCU: OR = 1.11, 95%CI = 1.03–1.20). Crossover analysis revealed that inadequate prenatal care in APNCU only was significantly associated with an increased risk of PTB (OR = 1.48, 95%CI: 1.26–1.73).ConclusionWomen with inadequate prenatal care in ANC5 or APNCU were more likely to suffer from adverse birth outcomes, including PTB, birth weight loss, SGA, and LBW. It indicated that adequate prenatal care is necessary for pregnant women. However, there were interactions between ANC5 and APNCU on PTB, with inadequate prenatal care use by APNCU showing the highest risk of PTB. This indicates that APNCU would be a better tool for evaluating prenatal care use.

Study implications for vaccine outreach strategies.

A Chinese automobile company, Geely Auto, aspires to enter the US market by setting up their manufacturing unit there and producing cars locally to give competition to their US and European counterparts.

They have contracted an automobile consulting company to understand the factors on which the pricing of cars depends. Specifically, they want to understand the factors affecting car pricing in the American market, as they may differ from the Chinese market.

The company wants to know the following things:

Which variables are significant in predicting the price of a car? How well do those variables describe the price of a car? Based on various market surveys, the consulting firm has gathered a large data set of different types of cars across the American market.

You are required to model the price of cars with the available independent variables. The management will use be using this model to understand exactly how the prices vary with the independent variables. Accordingly, they can change the design of the cars, the business strategy, etc., to meet certain price levels. Further, the model will allow the management to understand the pricing dynamics of a new market.

This dataset includes the race of applicants for Insurance Affordability Programs (IAPs) who reported their race as American Indian and/or Alaska Native, Asian Indian, Black or African American, Chinese, Cambodian, Filipino, Guamanian or Chamorro, Hmong, Japanese, Korean, Laotian, Mixed Race, Native Hawaiian, Other, Other Asian, Other Pacific Islander, Samoan, Vietnamese, or White by reporting period. The race data is from the California Healthcare Eligibility, Enrollment and Retention System (CalHEERS) and includes data from applications submitted directly to CalHEERS, to Covered California, and to County Human Services Agencies through the Statewide Automated Welfare System (SAWS) eHIT interface. Please note the reporting category Other Asian option on the CalHEERS application was removed in September 2017. This dataset is part of public reporting requirements set forth by the California Welfare and Institutions Code 14102.5.

Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2024.

Key themes.

Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Race for the U.S.: 2017.Table ID.ABSCS2017.AB00MYCSA01C.Survey/Program.Economic Surveys.Year.2017.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2020-05-19.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2017 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Race White Black or African American American Indian and Alaska Native Asian Asian Indian Chinese Filipino Japanese Korean Vietnamese Other Asian Native Hawaiian and Other Pacific Islander Native Hawaiian Guamanian or Chamorro Samoan Other Pacific Islander Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White) Equally minority/nonminority Nonminority (Firms classified as non-Hispanic and White) Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2017 BERD sample, or have high receipts, payroll, or employment. Total sample size is 850,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2017 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY20-008).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology.....

This dataset includes the race of eligible individuals who selected and enrolled in a Covered California Qualified Health Plan (QHP) and identified their race as American Indian and/or Alaska Native, Asian Indian, Black or African American, Chinese, Filipino, Guamanian or Chamorro, Japanese, Korean, Mixed Race, Native Hawaiian, Other, Other Asian, Other Pacific Islander, Samoan, Vietnamese, or White, by reporting period. Covered California reported data is from the California Healthcare Eligibility, Enrollment and Retention System (CalHEERS) and includes those who selected and enrolled in a QHP, and paid their first premium. This dataset is part of public reporting requirements set forth by the California Welfare and Institutions Code 14102.5.

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 September of 2025.