This graph shows the population of the U.S. by race and ethnic group from 2000 to 2023. In 2023, there were around 21.39 million people of Asian origin living in the United States. A ranking of the most spoken languages across the world can be accessed here. U.S. populationCurrently, the white population makes up the vast majority of the United States’ population, accounting for some 252.07 million people in 2023. This ethnicity group contributes to the highest share of the population in every region, but is especially noticeable in the Midwestern region. The Black or African American resident population totaled 45.76 million people in the same year. The overall population in the United States is expected to increase annually from 2022, with the 320.92 million people in 2015 expected to rise to 341.69 million people by 2027. Thus, population densities have also increased, totaling 36.3 inhabitants per square kilometer as of 2021. Despite being one of the most populous countries in the world, following China and India, the United States is not even among the top 150 most densely populated countries due to its large land mass. Monaco is the most densely populated country in the world and has a population density of 24,621.5 inhabitants per square kilometer as of 2021. As population numbers in the U.S. continues to grow, the Hispanic population has also seen a similar trend from 35.7 million inhabitants in the country in 2000 to some 62.65 million inhabitants in 2021. This growing population group is a significant source of population growth in the country due to both high immigration and birth rates. The United States is one of the most racially diverse countries in the world.

The 2008 National Asian American Survey (NAAS) contains 5,159 completed telephone interviews of self-identified Asian/Asian American residents of the United States. Interviewing began on August 12, 2008, and ended on October 29, 2008. The survey instrument included questions about political behavior and attitudes as well as personal experiences in immigration to the United States. Topics include attitudes toward government, politics and political issues, extent of political involvement, party affiliation, sources of political information, voting behavior, health and financial status, racial and ethnic identification, linked fate and discrimination, and religious and ethnic social networks. The overall length of the interview was approximately 29 minutes. The NAAS includes adults in the United States who identify any family background from countries in Asia, exclusive of countries classified as the Middle East. Survey interviews were conducted in eight languages (English, Cantonese, Mandarin, Korean, Vietnamese, Tagalog, Japanese, and Hindi) -- chosen according to the interviewee's preference -- and yielded sample sizes of at least 500 adult Asian American residents in the six largest national-origin groups. The final breakdown was 1,350 Chinese, 1,150 Asian Indian, 719 Vietnamese, 614 Korean, 603 Filipino, and 541 Japanese origin respondents, with 182 additional respondents who are either from other countries in Asia, or who identify as multi-racial or multi-ethnic. Overall, 40 percent of the sample chose English as their preferred language for the interview. The sample is weighted, using a raking procedure, to reflect the balance of gender, nativity, citizenship status, and educational attainment of the six largest national-origin groups in the United States, as well as the proportion of these national-origin groups within each state. Demographic information includes age, race, language, gender, country of birth, religion, marital status, educational level, employment status, citizenship status, household income, and size of household. Several strategies of sampling were used to collect the data. The largest number of cases were completed interviews drawn from a random selection of respondents in a listed sample of high-probability Asian Americans. This listed sample was drawn from a commercial database of voter registration and marketing, with ethnic propensity classifications based on ethnic names, surnames, and geographic density. Two additional strategies of RDD were used to select respondents, the first from a set of telephone numbers generated to maximize the probability of Filipino Americans, and a second set of telephone numbers generated for the population in general. The general population RDD yielded a very small number of completed interviews relative to contacts made by interviewers (8 out of 1,028 attempts) primarily as a result of the low incidence of the Asian American population in the United States. The sampling design was stratified to collect a disproportionately high number of respondents from "new immigrant destinations" as defined by Audrey Singer of the Brookings Institution. In their raw format, 22 percent of the cases were selected from counties in new destinations while the remaining 78 percent were representative of the United States population. Cases were weighted to account for this stratified sampling design. Additional details about sampling and weighting can be found in the book "Asian American Political Participation: Emerging Constituents and their Political Identities" (Wong, Ramakrishnan, Lee, and Junn. 2011, Publisher: Russell Sage Foundation). Post-stratification weights (NWEIGHTNATYRS) were created using a raking procedure to reflect the balance of gender, nativity, citizenship status, and educational attainment of the six largest national-origin groups in the United States, as well as the proportion of these national-origin groups within each state. More details about the weighting procedure can be found in the book "Asian American Political Participation: Emerging Constituents and their Political Identities" (Wong, Ramakrishnan, Lee, and Junn. 2011, Publisher: Russell Sage Foundation). The universe of analysis contains 5,159 completed telephone interviews of self-identified Asian/Asian American residents of the United States. This is approximately 88 percent of the United States Asian/Asian American adult population. The final breakdown was 1,350 Chinese, 1,150 Asian Indian, 719 Vietnamese, 614 Korean, 603 Filipino, and 541 Japanese origin respondents, with 182 additional respondents who are either from other countries in Asia, or who identify as multi-racial or multi-ethnic. Smallest Geographic Unit: county ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accom...

The statistic shows the total population of India from 2019 to 2029. In 2023, the estimated total population in India amounted to approximately 1.43 billion people.

Total population in India

India currently has the second-largest population in the world and is projected to overtake top-ranking China within forty years. Its residents comprise more than one-seventh of the entire world’s population, and despite a slowly decreasing fertility rate (which still exceeds the replacement rate and keeps the median age of the population relatively low), an increasing life expectancy adds to an expanding population. In comparison with other countries whose populations are decreasing, such as Japan, India has a relatively small share of aged population, which indicates the probability of lower death rates and higher retention of the existing population.

With a land mass of less than half that of the United States and a population almost four times greater, India has recognized potential problems of its growing population. Government attempts to implement family planning programs have achieved varying degrees of success. Initiatives such as sterilization programs in the 1970s have been blamed for creating general antipathy to family planning, but the combined efforts of various family planning and contraception programs have helped halve fertility rates since the 1960s. The population growth rate has correspondingly shrunk as well, but has not yet reached less than one percent growth per year.

As home to thousands of ethnic groups, hundreds of languages, and numerous religions, a cohesive and broadly-supported effort to reduce population growth is difficult to create. Despite that, India is one country to watch in coming years. It is also a growing economic power; among other measures, its GDP per capita was expected to triple between 2003 and 2013 and was listed as the third-ranked country for its share of the global gross domestic product.

Release Date: 2016-09-23..Table Name. . Statistics for U.S. Employer Firms by Language(s) Used for Customer Transactions by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2014. ..Release Schedule. . This file was released in September 2016.. ..Key Table Information. . These data are related to all other 2014 ASE files.. Refer to the Methodology section of the Annual Survey of Entrepreneurs website for additional information.. ..Universe. . The universe for the 2014 Annual Survey of Entrepreneurs (ASE) includes all U.S. firms with paid employees operating during 2014 with receipts of $1,000 or more which are classified in the North American Industry Classification System (NAICS) sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. total.. In this file, "respondent firms" refers to all firms that reported gender, ethnicity, race, or veteran status for at least one owner or returned a survey form with at least one item completed and were publicly held or not classifiable by gender, ethnicity, race, and veteran status.. ..Geographic Coverage. . The data are shown for:. . United States. States and the District of Columbia. The top fifty most populous metropolitan areas. . ..Industry Coverage. . The data are shown for the total of all sectors (00) and the 2-digit NAICS code level.. ..Data Items and Other Identifying Records. . Statistics for U.S. Employer Firms by Language(s) Used for Customer Transactions by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2014 contains data on:. . Number of firms with paid employees. Sales and receipts for firms with paid employees. Number of employees for firms with paid employees. Annual payroll for firms with paid employees. Percent of respondent firms with paid employees. Percent of sales and receipts of respondent firms with paid employees. Percent of number of employees of respondent firms with paid employees. Percent of annual payroll of respondent firms with paid employees. . The data are shown for:. . Gender, ethnicity, race and veteran status of respondent firms. . All firms. Female-owned. Male-owned. Equally male-/female-owned. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Some other race. Minority. Equally minority/nonminority. Nonminority. Veteran-owned. Equally veteran-/nonveteran-owned. Nonveteran-owned. All firms classifiable by gender, ethnicity, race, and veteran status. Publicly held and other firms not classifiable by gender, ethnicity, race, and veteran status. . . Years in business. . All firms. Firms less than 2 years in business. Firms with 2 to 3 years in business. Firms with 4 to 5 years in business. Firms with 6 to 10 years in business. Firms with 11 to 15 years in business. Firms with 16 or more years in business. . . Languages used for customer transactions in 2014. . All firms. English. African language(s). Arabic. Chinese. French. French Creole. German. Hindi/Urdu. Italian. Japanese. Korean. Polish. Portuguese. Russian. Spanish. Tagalog. Vietnamese. Other. Total reporting. Item not reported. . . . ..Sort Order. . Data are presented in ascending levels by:. . Geography (GEO_ID). NAICS code (NAICS2012). Gender, ethnicity, race, and veteran status (ASECB). Years in business (YIBSZFI). Languages used for customer transactions in 2014 (LANG). . The data are sorted on underlying control field values, so control fields may not appear in alphabetical order.. ..FTP Download. . Download the entire SE1400CSCB19 table at: https://www2.census.gov/programs-surveys/ase/data/2014/SE1400CSCB19.zip. ..Contact Information. . To contact the Annual Survey of Entrepreneurs staff:. . Visit the website at https://www.census.gov/programs-surveys/ase.html.. Email g...