The dataset contains Academic-year-wise historically compiled data on the number of Indian students enrolled in United States of America (USA) for pursuing different studies

The number of visitors to the United States from India increased significantly in 2022. In that year, the number of visitors to the U.S. from India reached approximately 1.26 million, up from the previous year's total of around 433 thousand.

United States Employment: American Indian or Alaska Native data was reported at 1,784.000 Person th in Apr 2025. This records a decrease from the previous number of 1,819.000 Person th for Mar 2025. United States Employment: American Indian or Alaska Native data is updated monthly, averaging 1,329.500 Person th from Jan 2000 (Median) to Apr 2025, with 304 observations. The data reached an all-time high of 1,980.000 Person th in Feb 2025 and a record low of 837.000 Person th in Oct 2003. United States Employment: American Indian or Alaska Native data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Population Survey: Employment.

This map shows the percentage of American Indian or Alaska Native population in the US (Non-Hispanic or Latino). The pattern is shown by states, counties, and Census tracts. Zoom or search for anywhere in the US to see a local pattern. Click on an area to learn more. Filter to your area and save a new version of the map to use for your own mapping purposes.The data is from the U.S. Census Bureau's American Community Survey (ACS). The figures in this map update automatically annually when the newest estimates are released by ACS. For more detailed metadata, visit the ArcGIS Living Atlas Layer: ACS Race and Hispanic Origin Variables - Boundaries.The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesData Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

In 2023, over 51 thousand Indian nationals applied for asylum in the United States. This was a significant increase as compared to the previous year and the highest during the recorded period.

This statistic shows the leading metropolitan areas in the United States in 2023 with the highest percentage of American Indian or Alaska Native population. Among the 81 largest metropolitan areas, Tulsa, Oklahoma was ranked first, with 14.6 percent of the population reporting as American Indian/Alaska Native in 2023.

The dataset contains Academic-year-wise historically compiled data on the total number of Indian students who enrolled for Undergraduate, Graduate, Non-Degree and Optional Practical Training (OPT) courses in the United States of America (USA).

This map shows the distribution of the North American Indian population. The largest number of North American Indians live in Ontario (118 830); they make up 80% of the total Aboriginal population of that province. They are distributed in the large agglomerations of the south, but also in the north and west of the province. In British Columbia, 77% of Aboriginal people are Indians (113 315). These two provinces account for 42% of the Indian population in Canada. The three Prairie Provinces are home to another 42% of the North American Indian population.

The number of residential properties purchased by Indian buyers in the United States decreased with significant fluctuation between 2010 and 2024. In 2024, Indian buyers bought about ***** residential properties in the United States, compared to over ****** properties in 2010. Indian bought residential properties in the United States were worth about *** billion U.S. dollars in 2023.

This statistic displays the number of people speaking Indian languages in the United States as of July 2017, by language. As of this date, there were around *** thousand Hindi speakers in the United States.

About this dataset

Context

The dataset tabulates the population of New York by race. It includes the population of New York across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of New York across relevant racial categories.

Key observations

The percent distribution of New York population by race (across all racial categories recognized by the U.S. Census Bureau): 60.73% are white, 15.21% are Black or African American, 0.42% are American Indian and Alaska Native, 8.65% are Asian, 0.05% are Native Hawaiian and other Pacific Islander, 8.99% are some other race and 5.97% are multiracial.

https://i.neilsberg.com/ch/new-york-population-by-race.jpeg" alt="New York population by race">

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the New York
• Population: The population of the racial category (excluding ethnicity) in the New York is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of New York total population. 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 New York Population by Race & Ethnicity. You can refer the same here

India Visitors Arrivals: North America: USA data was reported at 1,376,919.000 Person in 2017. This records an increase from the previous number of 1,296,939.000 Person for 2016. India Visitors Arrivals: North America: USA data is updated yearly, averaging 251,926.000 Person from Dec 1981 (Median) to 2017, with 37 observations. The data reached an all-time high of 1,376,919.000 Person in 2017 and a record low of 82,052.000 Person in 1981. India Visitors Arrivals: North America: USA data remains active status in CEIC and is reported by Ministry of Tourism. The data is categorized under Global Database’s India – Table IN.QB002: Foreign Tourist Arrivals: by Countries (Annual).

Over 1.2 million employment-based (EB) visas were issued by the United States of America to Indian immigrants. Within the EB visa category, over 830 thousand visas were issued in the EB-2 category, constituting individuals with exceptional knowledge and skills in sciences, arts, and business. The employment-based first preference category, or EB-1, includes exceptional workers, outstanding professors and researchers, and executives or managers of multinational corporations. EB-3 is for skilled workers, and professionals with a bachelor’s degree are eligible for immigration.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Indian Trail: 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 184(1.41%) households where the householder is under 25 years old, 4,951(37.86%) households with a householder aged between 25 and 44 years, 5,924(45.30%) households with a householder aged between 45 and 64 years, and 2,019(15.44%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the town of Indian Trail, 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) 2018-2022 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 Indian Trail median household income by age. You can refer the same here

The provide detailed statistical tables for 18 scenarios by single year of the projection period (2001 to 2017). For each of the scenarios, data are available for persons who identify with each of the following three groups: the North American Indian population, the Métis or the Inuit. All three groups were projected separately for each of the ten provinces and three territories. However, the subprovincial and subterritorial level shown for the three groups varies as it depends on the groups' size. For the North American Indians, future numbers were calculated for the urban parts of all census metropolitan areas (CMAs), urban areas outside CMAs, rural areas and reserves. For the Métis, places of residence were grouped into urban parts of CMAs, urban areas outside CMAs and rural areas, which also include reserves. Because of their relatively small size, the Inuit population was projected separately for urban and rural locations only. This information is further broken down by age and sex. The 18 scenarios, as well as scenario-specific assumptions on the future trend in fertility and internal migration, are presented in the table below. In addition to these two components of population growth, all scenarios assumed declining mortality and negligible importance of international migration to the change of the size of three Aboriginal groups. The statistical tables of this CD-ROM are organized into three sections: Aboriginal groups - The projected population by Aboriginal group, type of residence, province/territory and sex for the 18 scenarios by single year from 2001 to 2017; Age and sex - The projected population by Aboriginal group, type of residence, age group and sex for the 18 scenarios by single year from 2001 to 2017; and Province/territory - The projected total Aboriginal population by province/territory, age group, sex and type of residence for the 18 scenarios for 2001 and 2017. The statistical tables are supplementary to the publication Projections of the Aboriginal populations, Canada, provinces and territories: 2001 to 2017 (catalogue no. 91-547).

This Dataset contains year and citizenship-wise total number of foreigners apprehended in Border Sector

Note:The U.S. federal government's fiscal year runs from October 1 to September 30.

Use this application to view the pattern of concentrations of people by race and Hispanic or Latino ethnicity. Data are provided at the U.S. Census block group level, one of the smallest Census geographies, to provide a detailed picture of these patterns. The data is sourced from the U.S Census Bureau, 2020 Census Redistricting Data (Public Law 94-171) Summary File. Definitions: Definitions of the Census Bureau’s categories are provided below. This interactive map shows patterns for all categories except American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander. The total population countywide for these two categories is small (1,582 and 263 respectively). The Census Bureau uses the following race categories:Population by RaceWhite – A person having origins in any of the original peoples of Europe, the Middle East, or North Africa.Black or African American – A person having origins in any of the Black racial groups of Africa.American Indian or Alaska Native – A person having origins in any of the original peoples of North and South America (including Central America) and who maintains tribal affiliation or community attachment.Asian – A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam.Native Hawaiian or Other Pacific Islander – A person having origins in any of the original peoples of Hawaii, Guam, Samoa, or other Pacific Islands.Some Other Race - this category is chosen by people who do not identify with any of the categories listed above. People can identify with more than one race. These people are included in the Two or More Races Hispanic or Latino PopulationThe Hispanic/Latino population is an ethnic group. Hispanic/Latino people may be of any race.Other layers provided in this tool included the Loudoun County Census block groups, towns and Dulles airport, and the Loudoun County 2021 aerial imagery.

This report presents findings from the 2010 Labor Force Survey of American Indians and Alaska Natives, combined with a larger set of publically available statistics produced by the U.S. Census Bureau. This report is prepared in accordance with Public Law 102-477– the Indian Employment, Training, and Related Services Demonstration Act of 1992, as amended. All of the statistics provided in this report are in reference to the year 2010–the most recent year for which adequate statistics were available for the purposes of the report.

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.

About this dataset

Context

The dataset presents the median household income across different racial categories in Indian Point. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Indian Point population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 96.16% of the total residents in Indian Point. Notably, the median household income for White households is $62,828. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $62,828.

https://i.neilsberg.com/ch/indian-point-mo-median-household-income-by-race.jpeg" alt="Indian Point median household income diversity across racial categories">

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Indian Point.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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 Indian Point median household income by race. You can refer the same here