The American Indian and Alaska Native Summary File (AIANSF) contains summary data for Native Americans derived from the 2010 Census questionnaire. Covered population and housing subjects include age, sex, tribal affiliation (enrolled or principal tribe), household relationship, household type, household size, family type, family size, group quarters and housing tenure. The data are organized in 71 tables (one variable per table cell) which are iterated for the total population, the total American Indian and Alaska Native population alone, the total American Indian and Alaska Native population alone or in combination with one or more other races, and 1,567 detailed tribes and tribal groupings. Sixty-one tables are presented down to the census tract level and 10 tables down to the county level. Altogether the tables are presented at 76 levels of observation, including the United States as a whole, regions, divisions, states, counties, county subdivisions, places, census tracts, metropolitan statistical areas/micropolitan statistical areas, congressional districts (111th Congress), state legislative districts, school districts, 5-digit ZIP code tabulation areas, American Indian Areas/Alaska Native Areas/Hawaiian Home Lands, tribal subdivisions and tribal census tracts. In the Census Bureau's nomenclature, the population group iterations are called "characteristic iterations" and levels of observation are called "summary levels." The AIANSF tables are also presented for geographic components of some summary levels, e.g., all federally-recognized American Indian reservations collectively within each state or the nation as a whole; all metropolitan statistical areas collectively within each state or the nation as a whole, and the principal cities of metropolitan or micropolitan statistical areas. AIANSF contains 17,271 data files: a file with geographic identification variables (the geographic header record file) and 11 files with the population and housing variables for each characteristic iteration. Together with the data files, the Census Bureau prepared a codebook, Microsoft Access database shell and additional documentation. ICPSR provides the data files in a ZIP archive and the database shell and additional documentation in a second ZIP archive

The AIAN Summary File contains data on population characteristics, such as sex, age, average household size, household type, and relationship to householder. The American Indian and Alaska Native Summary File (AIANSF) contains data on population characteristics, such as sex, age, average household size, household type, and relationship to householder. The file also includes housing characteristics, such as tenure (whether a housing unit is owner-occupied or renter- occupied) and age of householder for occupied housing units. Selected aggregates and medians also are provided. A complete listing of subjects in the AIANSF is found in Chapter 3, Subject Locator. The layout of the tables in the AIANSF is similar to that in Summary File 2 (SF 2). These data are presented in 47 population tables (identified with a "PCT") and 14 housing tables (identified with an "HCT") shown down to the census tract level; and 10 population tables (identified with a "PCO") shown down to the county level, for a total of 71 tables. Each table is iterated for the total population, the total American Indian and Alaska Native population alone, the total American Indian and Alaska Native population alone or in combination, and 1,567 detailed tribes and tribal groupings. Tribes or tribal groupings are included on the iterations list if they met a threshold of at least 100 people in the 2010 Census. In addition, the presentation of AIANSF tables for any of the tribes and tribal groupings is subject to a population threshold of 100 or more people in a given geography. That is, if there are fewer than 100 people in a specific population group in a specific geographic area, their population and housing characteristics data are not available for that geographic area in the AIANSF. See Appendix H, Characteristic Iterations, for more information.

The American Indian and Alaska Native (AIAN) tables are released every five years. They are available for selected tribal populations, with more detailed tribal categories compared to those in the Selected Population Tables.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Total. Includes people who reported American Indian (including Canadian Indian), Latin American Indian, or Alaska Native only, regardless of whether they reported one or more American Indian, Latin American Indian, or Alaska Native tribes and villages.All other American Indian tribes (with only one tribe reported). Includes respondents who provided a response of another American Indian tribe not shown separately, such as Abenaki Nation of Missisquoi, Catawba Indian Nation, Kickapoo Tribe of Oklahoma, Mattaponi Indian Tribe, Piqua Shawnee Tribe, or Quapaw Nation. American Indian, not specified. Includes respondents who provided a response such as "American Indian."All other Latin American Indian (with only one group reported). Includes respondents who provided a response of another Latin American Indian group not shown separately, such as Arawak, Lenca, Pipil, Quechua, Toltec, or Zapotec.All other Alaska Native tribes and villages (with only one tribe or village reported). Includes respondents who provided a response of another Alaska Native tribe or village not shown separately, such as Aleut Corporation, Native Village of Unalakleet, Noorvik Native Community, Orutsararmiut Traditional Native Council, Sitka Tribe of Alaska, or Village of Kaltag. Alaska Native, not specified. Includes respondents who provided a response such as "Alaska Indian" or "Alaska Native".American Indian and Alaska Native, not specified. Includes respondents who selected the American Indian or Alaska Native response category on the ACS questionnaire and did not provide a specific group. Two or more American Indian and Alaska Native tribes and villages. Includes respondents who provided multiple American Indian or Alaska Native tribes and villages responses, such as Cherokee Nation and Hopi Tribe of Arizona; or Native Village of Barrow Inupiat Traditional Government and Arctic Slope Corporation; or Confederated Tribes of the Colville Reservation and Tlingit.".Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ende...

Specified tribal affiliation for the Native American and Alaska Native alone population.

Relative concentration of the Southern California region's American Indian population. The variable AIAN_ALN_AND_MULTIRACEAIANALN includes BOTH individuals who select American Indian or Alaska Native as their sole racial identity (they only identify as American Indian), AND individuals who select American Indian / Alaska Native as one of two or more racial identities (they partly identify as American Indian) in response to the Census questionnaire. IMPORTANT: this self reported ancestry and Tribal membership are distinct identities and one does not automatically imply the other. These data should not be interpreted as a distribution of "Tribal people." Numerous Rancherias in the Southern California region account for the wide distribution of very to extremely high concentrations of American Indians.

"Relative concentration" is a measure that compares the proportion of population within each Census block group data unit that identify as American Indian / Alaska Native alone to the proportion of all people that live within the 13,312 block groups in the Southern California RRK region that identify as American Indian / Alaska native alone. Example: if 5.2% of people in a block group identify as AIANALN, the block group has twice the proportion of AIANALN individuals compared to the Southern California RRK region (2.6%), and more than three times the proportion compared to the entire state of California (1.6%). If the local proportion is twice the regional proportion, then AIANALN individuals are highly concentrated locally.

The 1980 American Indian supplementary file provides information on the American Indian, Eskimo, and Aleut populations beyond that obtained from the regular 1980 census questionnaire. The questionnaire was used on all federal and state reservations and in the historic areas of Oklahoma (excluding urbanized areas) to obtain information about the unique living conditions present on many reservations and in those specified areas of Oklahoma. Population items from the supplementary questionnaire include: tribal affiliation, educational attainment, health services received, occupation, work history, benefits received, and income. Housing items include: source of water, source of heat, kitchen facilities, telephone, electrical lighting, and materials and age of structure.

South America has a complex demographic history shaped by multiple migration and admixture events in pre- and post-colonial times. Settled over 14,000 years ago by Native Americans, South America has experienced migrations of European and African individuals, similar to other regions in the Americas. However, the timing and magnitude of these events resulted in markedly different patterns of admixture throughout Latin America. We use genome-wide SNP data for 437 admixed individuals from 5 countries (Colombia, Ecuador, Peru, Chile, and Argentina) to explore the population structure and demographic history of South American Latinos. We combined these data with population reference panels from Africa, Asia, Europe and the Americas to perform global ancestry analysis and infer the subcontinental origin of the European and Native American ancestry components of the admixed individuals. By applying ancestry-specific PCA analyses we find that most of the European ancestry in South American Latinos is from the Iberian Peninsula; however, many individuals trace their ancestry back to Italy, especially within Argentina. We find a strong gradient in the Native American ancestry component of South American Latinos associated with country of origin and the geography of local indigenous populations. For example, Native American genomic segments in Peruvians show greater affinities with Andean indigenous peoples like Quechua and Aymara, whereas Native American haplotypes from Colombians tend to cluster with Amazonian and coastal tribes from northern South America. Using ancestry tract length analysis we modeled post-colonial South American migration history as the youngest in Latin America during European colonization (9–14 generations ago), with an additional strong pulse of European migration occurring between 3 and 9 generations ago. These genetic footprints can impact our understanding of population-level differences in biomedical traits and, thus, inform future medical genetic studies in the region.

The National Medical Expenditure Survey (NMES) series provides information on health expenditures by or on behalf of families and individuals, the financing of these expenditures, and each person's use of services. The Survey of American Indians and Alaska Natives (SAIAN) was designed in collaboration with the Indian Health Service (IHS), and used the same data collection instruments, interview procedures, and time frame as the NMES Household Survey component. However, the SAIAN differed from the Household Survey in several respects. The SAIAN sample was interviewed only three times and was not given the supplements on long-term care, caregiving, and care-receiving. Also, SAIAN respondents were asked additional questions on topics such as use of IHS facilities and traditional medicine, and were given a modified self-administered questionnaire with separate versions for adults and children. Interviewers for the SAIAN were mainly American Indians or Alaska Natives, and about 20 percent of the interviews were not conducted entirely in English. Of these, approximately 40 percent were conducted entirely in the native language of the respondent. Public Use Tape 20P contains detailed information on eligibility status, interview dates, demographic characteristics (age, marital status, military service, education, income), employment and insurance, link variables, and other survey administration variables for all persons in the sample. The Round 1 person characteristics previously released in NATIONAL MEDICAL EXPENDITURE SURVEY, 1987: SURVEY OF AMERICAN INDIANS AND ALASKA NATIVES, ROUND 1 PERSON-LEVEL FILE PUBLIC USE TAPE 11 are being replaced by the data contained in this collection.

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.

In 2022, the most significant cause of death among American Indians or Native Alaskans was heart disease- which contributed to **** percent of deaths. In 2020 and 2021, COVID-19 was the leading cause of death among American Indians or Alaska Natives. The statistic shows the distribution of the 10 leading causes of death among American Indians or Alaska Natives in the United States from 2020 to 2022.

A groundbreaking HUD study documents the severe housing needs of the American Indian and Alaska Native (AIAN) population and calls for an increase in public and private investment to alleviate these conditions. Assessment of American Indian Housing Needs and Programs: Final Report is the most comprehensive examination of the housing needs of this group ever performed. It finds that the AIAN population faces more frequent -- and often more severe -- housing problems than the non-Indian population. The housing needs and underlying socioeconomic conditions of the more than 2 million Native Americans vary greatly across the States, cities, and the 508 federally recognized Tribal Areas where American Indians and Alaska Natives live.The intensity of AIAN housing needs and problems, particularly in Tribal Areas, is illustrated by the following:Fifteen percent of all AIAN households and 28 percent of AIAN households in Tribal Areas are either overcrowded or lack kitchen or plumbing facilities, as compared to the national average of 5 percent.Twenty-nine percent of all AIAN households and 44 percent in Tribal Areas have a housing affordability problem, as compared to the national average of 23 percent.If recent trends continue, the number of AIAN households in Tribal Areas that are overcrowded or have facility problems will grow by an estimated 3,700 per year in the 1990s.Federal housing programs have been a critical source of affordable housing for the AIAN population and will continue to be so. However, Federal assistance by itself never will be able to meet all AIAN housing needs, nor will it create a self-sustaining housing system, the report concludes. Because of this disparity, the report analyzes options for fostering private-sector housing finance institutions.

Tribal Census TractsThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau (USCB), depicts American Indian tribal census tracts. Per the USCB, "a tribal census tract is a relatively permanent statistical subdivision of a federally recognized American Indian reservation and/or off-reservation trust land, delineated by the American Indian tribal government and/or the Census Bureau for the purpose of presenting demographic data. For federally recognized American Indian Tribes with reservations and/or off-reservation trust lands with a population less than 2,400, a single tribal census tract is defined. Qualifying areas with a population greater than 2,400 could define additional tribal census tracts within their area". Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Tribal Census Tracts) and will support mapping, analysis, data exports and OGC API – Feature access.Data.gov: TIGER/Line Shapefile, 2019, nation, U.S., Current Tribal Census Tract NationalGeoplatform: TIGER/Line Shapefile, 2019, nation, U.S., Current Tribal Census Tract NationalFor more information, please visit: Decoding State-County Census Tracts versus Tribal Census TractsFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community. Per the Federal Geospatial Data Committee (FGDC), this theme is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes."For other NGDA Content: Esri Federal Datasets

Analysis unit

Persons, households, and dwellings

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: A place in which, at the time of the census, one or more persons regularly sleep. It may be a room in a factory, store or office building, a loft over a stable, a canal boat, tent, or a wigwam. A building like a tenement or apartment house, if it has only one front door, counts as only one dwelling house, no matter how many persons or families live in it. But one building with a partition wall through it and a front door for each of the two parts, counts as two dwelling houses. So in a block of houses there are as many dwelling-houses as front doors. - Households: A group of persons living together in the same dwelling place. The persons constituting this group may or may not be related by ties of kinship, but if they live together forming one household they should be considered as one family. Thus a servant who sleeps in the house or on the premises should be included with the members of the family for which he or she works. A boarder or lodger should be included with the members of the family with which he lodges, but a persons who boards in one place and lodges or rooms at another should be returned as a member of the family at the place where he lodges or rooms. - Group quarters: Yes

Universe

All persons living in the United States. Native Americans living on reservations or under tribal rule were enumerated using a separate schedule.

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: Department of Commerce and Labor, Bureau of the Census

SAMPLE SIZE (person records): 923153.

SAMPLE DESIGN: 1-in-100 national random sample of the population, including Alaskans, Hawaiians, and persons enumerated on the American Indians schedules.

Mode of data collection

Face-to-face [f2f]

Research instrument

The census operation involved six schedules. Schdule 1 was used to enumerate the population and collected information on individual characteristics. Other schedules were used to enumerate the Native American population, and record information on agriculture and livestock.

This paper studies how even though Native Americans make up a smaller portion of the population, HIV/AIDS effect them just as much as the average population and explores community-based prevention and interventions for the issue at hand to decrease the burden of the health disparity upon to population. It specifically explores Southwestern tribes and the different health disparities that contribute to the overall disparity of HIV being present in the population

As of 2024, there were a total of over *** million Indians living in the USA. Out of this population, over *** million belonged to Persons of Indian origin category.

This layer shows total population counts by sex, age, and race groups data from the 2020 Census Demographic and Housing Characteristics. This is shown by Nation, Tribal Subdivision, Tribal Census Tract, Tribal Block Group, Alaska Native Regional Corporation, American Indian, Alaska Native, or Native Hawaiian Area boundaries. Each geography layer contains a common set of Census counts based on available attributes from the U.S. Census Bureau. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.   To see the full list of attributes available in this service, go to the "Data" tab above, and then choose "Fields" at the top right. Each attribute contains definitions, additional details, and the formula for calculated fields in the field description.Vintage of boundaries and attributes: 2020 Demographic and Housing Characteristics Table(s): P1, H1, H3, P2, P3, P5, P12, P13, P17, PCT12 (Not all lines of these DHC tables are available in this feature layer.)Data downloaded from: U.S. Census Bureau’s data.census.gov siteDate the Data was Downloaded: May 25, 2023Geography Levels included: Nation, Tribal Subdivision, Tribal Census Tract, Tribal Block Group, Alaska Native Regional Corporation, American Indian Alaska Native Native Hawaiian AreaNational Figures: included in Nation layer The United States Census Bureau Demographic and Housing Characteristics: 2020 Census Results 2020 Census Data Quality Geography & 2020 Census Technical Documentation Data Table Guide: includes the final list of tables, lowest level of geography by table and table shells for the Demographic Profile and Demographic and Housing Characteristics.News & Updates This layer is ready to be used in ArcGIS Pro, ArcGIS Online and its configurable apps, Story Maps, dashboards, Notebooks, Python, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the U.S. Census Bureau when using this data. Data Processing Notes: These 2020 Census boundaries come from the US Census TIGER geodatabases. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For Census tracts and block groups, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract and block group boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are unchanged and available as attributes within the data table (units are square meters).  The layer contains all US states, Washington D.C., and Puerto Rico. Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Block groups that fall within the same criteria (Block Group denoted as 0 with no area land) have also been removed.Percentages and derived counts, are calculated values (that can be identified by the "_calc_" stub in the field name). Field alias names were created based on the Table Shells file available from the Data Table Guide for the Demographic Profile and Demographic and Housing Characteristics. Not all lines of all tables listed above are included in this layer. Duplicative counts were dropped. For example, P0030001 was dropped, as it is duplicative of P0010001.To protect the privacy and confidentiality of respondents, their data has been protected using differential privacy techniques by the U.S. Census Bureau.

The 2006-2010 ACS 5-Year American Indian and Alaska Native Tables (AIANT) use ACS data aggregated over a 5-year period to provide reliable estimates of detailed social, economic, and housing characteristics for many tribal population groups at multiple levels of geography. Detailed tables on topics such as educational attainment, fertility, nativity, citizenship, income, poverty, and homeownership are iterated for many tribal population groups. For the AIAN, detailed tables are presented for up to 950 population groups in selected geographies such as American Indian and Alaska Native areas where population thresholds were met.

The Caribbean basin is home to some of the most complex interactions in recent history among previously diverged human populations. Here, we investigate the population genetic history of this region by characterizing patterns of genome-wide variation among 330 individuals from three of the Greater Antilles (Cuba, Puerto Rico, Hispaniola), two mainland (Honduras, Colombia), and three Native South American (Yukpa, Bari, and Warao) populations. We combine these data with a unique database of genomic variation in over 3,000 individuals from diverse European, African, and Native American populations. We use local ancestry inference and tract length distributions to test different demographic scenarios for the pre- and post-colonial history of the region. We develop a novel ancestry-specific PCA (ASPCA) method to reconstruct the sub-continental origin of Native American, European, and African haplotypes from admixed genomes. We find that the most likely source of the indigenous ancestry in Caribbean islanders is a Native South American component shared among inland Amazonian tribes, Central America, and the Yucatan peninsula, suggesting extensive gene flow across the Caribbean in pre-Columbian times. We find evidence of two pulses of African migration. The first pulse—which today is reflected by shorter, older ancestry tracts—consists of a genetic component more similar to coastal West African regions involved in early stages of the trans-Atlantic slave trade. The second pulse—reflected by longer, younger tracts—is more similar to present-day West-Central African populations, supporting historical records of later transatlantic deportation. Surprisingly, we also identify a Latino-specific European component that has significantly diverged from its parental Iberian source populations, presumably as a result of small European founder population size. We demonstrate that the ancestral components in admixed genomes can be traced back to distinct sub-continental source populations with far greater resolution than previously thought, even when limited pre-Columbian Caribbean haplotypes have survived.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2020, the 2020 Census provides the official counts of the population and housing units for the nation, states, counties, cities, and towns. For 2016 to 2019, the Population Estimates Program provides estimates of the population for the nation, states, counties, cities, and towns and intercensal housing unit estimates for the nation, states, and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-Year Estimates.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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Total includes people who reported American Indian or Alaska Native only, regardless of whether they reported one or more American Indian or Alaska Native tribes or tribal groupings.All Other American Indian Tribes (with only one tribe reported). Includes respondents who provide a response of another American Indian tribe not shown separately, such as Abenaki, Catawba, Eastern Tribes, Kickapoo, Mattaponi, Quapaw, Shawnee, or Yuchi. American Indian Tribes, not specified. Includes people who provide a generic term such as "American Indian" or tribal groupings not elsewhere classified.Alaska Native Tribes, not specified. Includes people who provide a generic term such as "Alaska Indian" or "Alaska Native" or tribal groupings not elsewhere classified.American Indian Tribes or Alaska Native Tribes, not specified. Includes respondents who checked the American Indian or Alaska Native response category on the ACS questionnaire and did not write in a specific group.Two or more American Indian or Alaska Native Tribes. Includes respondents who provided multiple American Indian or Alaska Native Tribes responses such as Blackfeet and Pueblo; or Alaskan Athabascan and Tlingit-Haida; or Paiute and Aleut..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..The 2016-2020 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.