In the fiscal year of 2022, ******* people became naturalized citizens in the United States. This is an increase from the previous year, when ******* people became naturalized citizens. 2020 saw a significant drop, a figure that was likely due to the impact of the coronavirus (COVID-19) pandemic.

Naturalization is the process by which U.S. citizenship is granted to a foreign citizen or national after he or she fulfills the requirements established by Congress in the Immigration and Nationality Act (INA). Naturalized citizens are U.S. citizens under law, meaning they are able to vote, travel with a U.S. passport, run for public office, and generally live life the same way that people who were born U.S. citizens do. This map shows counts of naturalized citizens in the United States by state, county, and tract. Map starts in New York City, but zoom, pan, or use the search bar to get to your city, county, or neighborhood.This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.

In the fiscal year of 2022, about 128,878 people from Mexico were naturalized as U.S. citizens. India, the Philippines, Cuba, and the Dominican Republic rounded out the top five countries of birth for naturalized U.S. citizens in that year. The total number of naturalizations in the fiscal year of 2022 amounted to 969,380 people.

United States US: Net Migration data was reported at 4,500,000.000 Person in 2017. This stayed constant from the previous number of 4,500,000.000 Person for 2012. United States US: Net Migration data is updated yearly, averaging 4,213,405.500 Person from Dec 1962 (Median) to 2017, with 12 observations. The data reached an all-time high of 8,612,074.000 Person in 1997 and a record low of 1,549,465.000 Person in 1967. United States US: Net Migration data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Population and Urbanization Statistics. Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Sum;

This Dataset contains year, country of citizenship, major class of admission (Immediate relatives of U.S. citizens, Family-sponsored preferences, Employment-based preferences, Diversity, Refugees and asylees) and gender-wise total number of permanent residents in USA

Note: Lawful permanent residents (LPRs) are foreign nationals who have been granted the right to reside permanently in the United States. LPRs are often referred to simply as "immigrants," but they are also known as "permanent resident aliens" and "green card holders."

About this dataset

Context

The dataset tabulates the United States population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for United States. The dataset can be utilized to understand the population distribution of United States by age. For example, using this dataset, we can identify the largest age group in United States.

Key observations

The largest age group in United States was for the group of age 25-29 years with a population of 22,854,328 (6.93%), according to the 2021 American Community Survey. At the same time, the smallest age group in United States was the 80-84 years with a population of 5,932,196 (1.80%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the United States is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of United States 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 United States Population by Age. You can refer the same here

Graph and download economic data for Infra-Annual Labor Statistics: Working-Age Population Total: From 15 to 64 Years for United States (LFWA64TTUSM647S) from Jan 1977 to May 2025 about working-age, 15 to 64 years, population, and USA.

The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

During a 2022 survey, adults in the United States were asked how many states they had visited. In response, nine percent of survey participants answered that they had visited between two and five states, with the source also including the respondents' home states as a state visited. In contrast, two percent of respondents claimed to have visited all 50 U.S. states, with some also having been to Washington D.C.

Total current population for the United States in 2025 is 343,603,404, a 0.52% increase from 2024.

<ul style='margin-top:20px;'>

<li>Total population for the United States in 2024 was <strong>341,814,420</strong>, a <strong>2.06% increase</strong> from 2023.</li>
<li>Total population for the United States in 2023 was <strong>334,914,895</strong>, a <strong>0.49% increase</strong> from 2022.</li>
<li>Total population for the United States in 2022 was <strong>333,271,411</strong>, a <strong>0.37% increase</strong> from 2021.</li>
</ul>Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.

U.S. net migration for 2024 was 1,286,132, a 2.76% decline from 2023.

<ul style='margin-top:20px;'>

<li>U.S. net migration for 2023 was <strong>1,322,668</strong>, a <strong>0.28% increase</strong> from 2022.</li>
<li>U.S. net migration for 2022 was <strong>1,319,009</strong>, a <strong>95.47% increase</strong> from 2021.</li>
<li>U.S. net migration for 2021 was <strong>674,787</strong>, a <strong>104.62% increase</strong> from 2020.</li>
</ul>Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.

In the United States, more women tend to become naturalized citizens than men. In the fiscal year of 2021, 456,025 women were naturalized as U.S. citizens, compared to 357,768 men. The total number of naturalizations amounted to 813,861 people in 2021.

This web map shows the likelihood of non-citizens to have insurance within the United States. This is shown by highlighting if it is more common for non-citizens to have insurance or not have insurance. The data values are from the 2012-2016 American Community Survey 5-year estimate in the B27020 Table for health insurance coverage status and type by citizenship status. The pattern in the map is shown by county and census tract centroid points. This map helps to answer a few questions:Do non-citizens have health insurance?Where are the non-citizens in the US?The color of the symbols represent if an area is more likely to have non-citizens who have insurance, or not have insurance. The color is related to which value is largest. This mapping technique is known as predominance because the color is based on which value is predominant:Non-citizens who have insuranceNon-citizens who do not have insuranceThe size of the symbol shows how many non-citizens live within each area. The strength of the symbol represents HOW predominant the population's insurance type is. The tract pattern shows how distinct neighborhoods are clustered by the likelihood to have insurance or not. The county pattern shows an rural/urban difference in insurance holdings. This pattern is shown by census tracts at large scales, and counties at smaller scales.This map is designed for a dark basemap such as the Human Geography Basemap or the Dark Gray Canvas Basemap. It helps show a local pattern about the uninsured and insured non-citizen population. The layers used in this map are included in the Living Atlas of the World. They can also be found here:2016 ACS Health Insurance by Citizenship - County2016 ACS Health Insurance by Citizenship - TractThis data was downloaded from the United States Census Bureau American Fact Finder on March 1, 2018. It was then joined with 2016 vintage centroid points and hosted to ArcGIS Online and into the Living Atlas. The data contains additional attributes that can be used for mapping and analysis. Nationally, the breakdown of insurance for the civilian noninstitutionalized population in the US is:Total:313,576,137+/-10,365Native Born:271,739,505+/-102,340With health insurance coverage246,142,724+/-281,131With private health insurance186,765,058+/-576,448With public coverage92,452,853+/-209,370No health insurance coverage25,596,781+/-190,502Foreign Born:41,836,632+/-109,590Naturalized:19,819,629+/-35,976With health insurance coverage17,489,342+/-42,261With private health insurance12,927,060+/-50,505With public coverage6,687,375+/-16,733No health insurance coverage2,330,287+/-20,148Noncitizen:22,017,003+/-118,842With health insurance coverage13,243,825+/-44,108With private health insurance9,320,483+/-26,031With public coverage4,459,972+/-34,270No health insurance coverage8,773,178+/-86,951Data note from the US Census Bureau:[ACS] 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 roughly 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.

Records that do not meet the required two-part test.rnrnData/records collected for intelligence purposes about a United States citizen, an alien known by the intelligence element concerned to be a permanent resident alien, an unincorporated associated substantially composed of United States citizens or permanent resident aliens, or a corporation incorporated in the United States, except for a corporation directed and controlled by a foreign government or governments.

This dataset provides information on 1,740 in California, United States as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

This dataset provides information on 169 in Utah, United States as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

This dataset provides information on 260 in Connecticut, United States as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES CITIZENSHIP STATUS - DP02 Universe - Population in households Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Respondents were asked to select one of five categories: (1) born in the United States; (2) born in Puerto Rico, Guam, the U.S. Virgin Islands, or Northern Marianas; (3) born abroad of U.S. citizen parent or parents; (4) U.S. citizen by naturalization; or (5) not a U.S. citizen. Respondents indicating they were a U.S. citizen by naturalization were asked to print their year of naturalization.

This dataset contains the number of arrests, bookins, and removals for non citizens by United States Armed Forces, United States Citizens, parents of USC Arrests, from FY2018 - YTD2022. Also contains data on arrests, bookins, and removals countries that have temporary protected status.

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show the birth and citizenship status by ARC 20 County in the Atlanta region.

The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

For further explanation of ACS estimates and margin of error, visit Census ACS website.

Naming conventions:

Prefixes:

None

Count

p

Percent

r

Rate

m

Median

a

Mean (average)

t

Aggregate (total)

ch

Change in absolute terms (value in t2 - value in t1)

pch

Percent change ((value in t2 - value in t1) / value in t1)

chp

Change in percent (percent in t2 - percent in t1)

Suffixes:

None

Change over two periods

_e

Estimate from most recent ACS

_m

Margin of Error from most recent ACS

_00

Decennial 2000

Attributes:

SumLevel

Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, Super District, etc)

GEOID

Census tract Federal Information Processing Series (FIPS) code

NAME

Name of geographic unit

Planning_Region

Planning region designation for ARC purposes

Acres

Total area within the tract (in acres)

SqMi

Total area within the tract (in square miles)

County

County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

CountyName

County Name

TotPop_e

# Total population, 2017

TotPop_m

# Total population, 2017 (MOE)

Native_e

# U.S. Native, 2017

Native_m

# U.S. Native, 2017 (MOE)

pNative_e

% U.S. Native, 2017

pNative_m

% U.S. Native, 2017 (MOE)

BornUS_e

# Born in the United States, 2017

BornUS_m

# Born in the United States, 2017 (MOE)

pBornUS_e

% Born in the United States, 2017

pBornUS_m

% Born in the United States, 2017 (MOE)

BornState_e

# Born in state of residence, 2017

BornState_m

# Born in state of residence, 2017 (MOE)

pBornState_e

% Born in state of residence, 2017

pBornState_m

% Born in state of residence, 2017 (MOE)

BornDiffState_e

# Born in different state, 2017

BornDiffState_m

# Born in different state, 2017 (MOE)

pBornDiffState_e

% Born in different state, 2017

pBornDiffState_m

% Born in different state, 2017 (MOE)

BornTerr_e

# Born in Puerto Rico, U.S. Island Areas, or born abroad to American parent(s), 2017

BornTerr_m

# Born in Puerto Rico, U.S. Island Areas, or born abroad to American parent(s), 2017 (MOE)

pBornTerr_e

% Born in Puerto Rico, U.S. Island Areas, or born abroad to American parent(s), 2017

pBornTerr_m

% Born in Puerto Rico, U.S. Island Areas, or born abroad to American parent(s), 2017 (MOE)

ForBorn_e

# Foreign born, 2017

ForBorn_m

# Foreign born, 2017 (MOE)

pForBorn_e

% Foreign born, 2017

pForBorn_m

% Foreign born, 2017 (MOE)

Naturalized_e

# Naturalized U.S. citizen, 2017

Naturalized_m

# Naturalized U.S. citizen, 2017 (MOE)

pNaturalized_e

% Naturalized U.S. citizen, 2017

pNaturalized_m

% Naturalized U.S. citizen, 2017 (MOE)

NotNaturalized_e

# Not a U.S. citizen, 2017

NotNaturalized_m

# Not a U.S. citizen, 2017 (MOE)

pNotNaturalized_e

% Not a U.S. citizen, 2017

pNotNaturalized_m

% Not a U.S. citizen, 2017 (MOE)

last_edited_date

Last date the feature was edited by ARC

Source: U.S. Census Bureau, Atlanta Regional Commission

Date: 2013-2017

For additional information, please visit the Census ACS website.