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United States Population: Utah data was reported at 3,101,833.000 Person in 2017. This records an increase from the previous number of 3,044,321.000 Person for 2016. United States Population: Utah data is updated yearly, averaging 2,751,301.500 Person from Jun 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 3,101,833.000 Person in 2017 and a record low of 2,244,314.000 Person in 2000. United States Population: Utah data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.G003: Population By State.
https://www.utah-demographics.com/terms_and_conditionshttps://www.utah-demographics.com/terms_and_conditions
A dataset listing Utah cities by population for 2024.
In 2023, about 3.42 million people lived in Utah. This was an increase from the previous year, when about 3.38 million people lived in the state. In 1960, the resident population of Utah stood at about 890,000 people.
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.
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Graph and download economic data for Resident Population in Utah (UTPOP) from 1900 to 2024 about UT, residents, population, and USA.
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Resident Population in Utah was 3503.61300 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Utah reached a record high of 3503.61300 in January of 2024 and a record low of 277.00000 in January of 1900. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Utah - last updated from the United States Federal Reserve on July of 2025.
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Chart and table of population level and growth rate for the state of Utah from 1900 to 2024.
https://www.utah-demographics.com/terms_and_conditionshttps://www.utah-demographics.com/terms_and_conditions
A dataset listing Utah counties by population for 2024.
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Context
The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Utah: 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Income brackets:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Utah median household income by age. You can refer the same here
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Data derived from Population Estimates, American Community Survey, Census of Population and Housing, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits
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U.S. Census Bureau QuickFacts statistics for Washington city, Utah. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
U.S. Census Bureau QuickFacts statistics for San Juan County, Utah. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
https://www.icpsr.umich.edu/web/ICPSR/studies/13386/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/13386/terms
Summary File 3 contains sample data, which is the information compiled from the questions asked of a sample of all people and housing units in the United States. Population items include basic population totals as well as counts for the following characteristics: urban and rural, households and families, marital status, grandparents as caregivers, language and ability to speak English, ancestry, place of birth, citizenship status, year of entry, migration, place of work, journey to work (commuting), school enrollment and educational attainment, veteran status, disability, employment status, industry, occupation, class of worker, income, and poverty status. Housing items include basic housing totals and counts for urban and rural, number of rooms, number of bedrooms, year moved into unit, household size and occupants per room, units in structure, year structure built, heating fuel, telephone service, plumbing and kitchen facilities, vehicles available, value of home, and monthly rent and shelter costs. The Summary File 3 population tables are identified with a "P" prefix and the housing tables are identified with an "H," followed by a sequential number. The "P" and "H" tables are shown for the block group and higher level geography, while the "PCT" and "HCT" tables are shown for the census tract and higher level geography. There are 16 "P" tables, 15 "PCT" tables, and 20 "HCT" tables that bear an alphabetic suffix on the table number, indicating that they are repeated for nine major race and Hispanic or Latino groups. There are 484 population tables and 329 housing tables for a total of 813 unique tables.
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Public Use Microdata Areas (PUMAs) are decennial census areas that permit the tabulation and dissemination of Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) data, and data from other census and surveys. For the 2020 Census, the State Data Centers (SDCs) in each state, the District of Columbia, and the Commonwealth of Puerto Rico had the opportunity to delineate PUMAS within their state or statistically equivalent entity. All PUMAs must nest within states and have a minimum population threshold of 100,000 persons. 2020 PUMAs consist of census tracts and cover the entirety of the United States, Puerto Rico and Guam. American Samoa, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands do not contain any 2020 PUMAs because the population is less than the minimum population requirement. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name. The 2020 PUMAs will appear in the 2022 TIGER/Line Shapefiles.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Utah: 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Utah median household income by age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Last Update: 02/2021This datasets was was downloaded from the 2020 Census Redistricting Data (P.L. 94-171) page. All 2020 census boundaries are current to January 1, 2020. The Census Bureau will release the first set of corresponding demographic data in September 2021 (the 2020 Census Redistricting P.L. 94-171 Summary Files). Following that release, AGRC will append the demographic data to the existing 2020 geographies served on this page.Visit the SGID 2020 Census data page for more information.
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Graph and download economic data for Employed Persons in Utah (LASST490000000000005) from Jan 1976 to May 2025 about UT, household survey, employment, persons, and USA.
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Last Update: August 2020This dataset contains point locations for preschool and K-12 schools in the state of Utah -- updated for the 2019-2020 school year. Higher education and adult vocational training are not included in the dataset.The Schools Pre K to 12 dataset was built in collaboration with Wasatch Front Regional Council(WFRC), the Utah State Board of Education(USBE), and the Automated Geographic Reference Center(AGRC). The dataset includes public and private K-12 school locations with enrollment and demographics info by grade for public schools (charter and traditional) reported to the USBE. While some preschools are included, this is not a comprehensive statewide dataset for preschools.Schools marked as 'closed' have not been included in this data. More information regarding schools in Utah can be found on the Utah State Board of Education website.The Schools Pre K to 12 will be updated annually in conjunction with USBE’s annual report cycle.MethodologyTabular DataThe tabular portion of the data was downloaded from USBE's data page. The list of fields and the data in this dataset were generated by joining the following USBE reports.2019-2020 School ListFall 2019-2020 Enrollment by Demographics and Grade LevelsGeographic DataPoint locations (geometry) were generated from USBE's school list using the AGRC Geocoding Web APIwhich utilizes address point and street centerline reference data. These were then compared to the previous 2016-2017 school layer’s locations with the best position chosen. Unmatched addresses were hand placed with assistance from publicly available, commercial mapping and search web apps.Fields Worth NotingSchoolType:Residential TreatmentAdult HighVocationalSpecial EducationRegular EducationYIC - Youth-In-CustodyAlternativeSchoolLevel:MID - Junior / Middle SchoolHIGH - High SchoolK12 - Kindergarten through 12th GradePREK - Pre KindergartenELEM - Elementary SchoolAcronyms and Abbreviations in the DataLEA: Local Educational Agency (i.e., school district)LEANameLEANumberLEAIDNESS: Necessarily Existent Small Schools funding
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U.S. Census Bureau QuickFacts statistics for Utah. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
The 2015 TIGER Geodatabases are extracts of selected nation based and state based geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. The geodatabases include feature class layers of information for the fifty states, the District of Columbia, Puerto Rico, and the Island areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the United States Virgin Islands). The geodatabases do not contain any sensitive data. The 2015 TIGER Geodatabases are designed for use with Esriâ s ArcGIS.
The 2015 State Geodatabase for Utah contains multiple layers. These layers are the Block, Block Group, Census Designated Place, Census Tract,
County Subdivision and Incorporated Place layers.
Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered
within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same
decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that
census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and
Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses
county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban
areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The BG boundaries in this release
are those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.
The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to
previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people.
When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living
conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by
highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to
population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable
features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to
allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and
county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may
consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities
that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that
include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American
Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little
or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial
park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.
An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD),
which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state,
but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have
other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated
to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state
in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide
with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial
census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily
have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population.
The boundaries of most incorporated places in this shapefile are as of January 1, 2013, as reported through the Census Bureau's Boundary and
Annexation Survey (BAS). Limited updates that occurred after January 1, 2013, such as newly incorporated places, are also included. The boundaries
of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.
The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no
counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The
latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri,
Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary
divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data
presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data
presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto
Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin
Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for
counties and equivalent entities are mostly as of January 1, 2013, primarily as reported through the Census Bureau's Boundary and
Annexation Survey (BAS). However, some changes made after January 2013, including the addition and deletion of counties, are included.
County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include
legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census,
the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs
for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical
unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county
subdivisions. The boundaries of most legal MCDs are as of January 1, 2013, as reported through the Census Bureau's Boundary and Annexation Survey
(BAS). The boundaries of all CCDs, delineated in 21 states, are those as reported as part of the Census Bureau's Participant Statistical Areas
Program (PSAP) for the 2010 Census.
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License information was derived automatically
United States Population: Utah data was reported at 3,101,833.000 Person in 2017. This records an increase from the previous number of 3,044,321.000 Person for 2016. United States Population: Utah data is updated yearly, averaging 2,751,301.500 Person from Jun 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 3,101,833.000 Person in 2017 and a record low of 2,244,314.000 Person in 2000. United States Population: Utah data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.G003: Population By State.