Comprehensive demographic dataset for Provo, UT, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Graph and download economic data for Resident Population in Utah County, UT (UTUTAH9POP) from 1970 to 2024 about Utah County, UT; Provo; UT; residents; population; and USA.

About this dataset

Context

The dataset tabulates the Provo population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Provo across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Provo was 113,343, a 0.30% decrease year-by-year from 2022. Previously, in 2022, Provo population was 113,689, a decline of 1.09% compared to a population of 114,945 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Provo increased by 7,576. In this period, the peak population was 117,797 in the year 2017. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Provo is shown in this column.
• Year on Year Change: This column displays the change in Provo population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Provo Population by Year. You can refer the same here

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Some Other Race Alone (5-year estimate) in Utah County, UT (B03002018E049049) from 2009 to 2023 about Utah County, UT; Provo; UT; latino; hispanic; estimate; 5-year; persons; population; and USA.

Comprehensive demographic dataset for Riverside, Provo, UT, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Graph and download economic data for Population Estimate, Total (5-year estimate) in Utah County, UT (B03002001E049049) from 2009 to 2023 about Utah County, UT; Provo; UT; estimate; 5-year; persons; population; and USA.

Comprehensive demographic dataset for Sunset, Provo, UT, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Pleasant View, Provo, UT, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Spring Creek, Provo, UT, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Graph and download economic data for Resident Population in Provo-Orem, UT (MSA) (PRVPOP) from 2000 to 2022 about Provo, UT, residents, population, and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Utah County, UT (B01002001E049049) from 2009 to 2023 about Utah County, UT; Provo; age; UT; 5-year; median; and USA.

Demographics, population, housing, income, education, schools, and geography for ZIP Code 84605 (Provo, UT). Interactive charts load automatically as you scroll for improved performance.

Resource created for Assignments 7 and 8 of CEEn 534. The Resource includes discharge data for the Provo River from http://data.cuahsi.org/#. This resource also includes a shapefile of Utah Lake, an image of the USGS site, a stock photo image of a dam, and an audio file consisting of the song "America the Beautiful" performed by Larry Green, guitar instructor at BYU. The resource has had a polyline shapefile of the major streams that flow through Utah County and a raster of the projected Population density in Utah county for the year 2050. the idea would be to use the stream flow data to calculate if the river will provide enough water for the populations immediately around it. SLD files have been included to help with visualization.

Abstract from data: Discharge cubic feet per second data collected from 2020-01-01T00:00:00 to 2020-12-31T23:59:59 created on Wed Feb 24 2021 12:36:43 GMT-0700 (Mountain Standard Time) from the following site: PROVO RIVER AT PROVO UT. Data created by CUAHSI HydroClient: http://data.cuahsi.org/#.8

Important Dataset Update 6/24/2020:Summit and Wasatch Counties updated.Important Dataset Update 6/12/2020:MAG area updated.Important Dataset Update 7/15/2019: This dataset now includes projections for all populated statewide traffic analysis zones (TAZs). Projections within the Wasatch Front urban area ( SUBAREAID = 1) were produced with using the Real Estate Market Model as described below. Socioeconomic forecasts produced for Cache MPO (Cache County, SUBAREAID = 2), Dixie MPO (Washington County, SUBAREAID = 3), Summit County (SUBAREAID = 4), and UDOT (other areas of the state, SUBAREAID = 0) all adhere to the University of Utah Gardner Policy Institute's county-level projection controls, but other modeling methods are used to arrive at the TAZ-level forecasts for these areas.As with any dataset that presents projections into the future, it is important to have a full understanding of the data before using it. Before using this data, you are strongly encouraged to read the metadata description below and direct any questions or feedback about this data to analytics@wfrc.org. Every four years, the Wasatch Front’s two metropolitan planning organizations (MPOs), Wasatch Front Regional Council (WFRC) and Mountainland Association of Governments (MAG), collaborate to update a set of annual small area -- traffic analysis zone and ‘city area’, see descriptions below) -- population and employment projections for the Salt Lake City-West Valley City (WFRC), Ogden-Layton (WFRC), and Provo-Orem (MAG) urbanized areas. These projections are primarily developed for the purpose of informing long-range transportation infrastructure and services planning done as part of the 4 year Regional Transportation Plan update cycle, as well as Utah’s Unified Transportation Plan, 2019-2050. Accordingly, the foundation for these projections is largely data describing existing conditions for a 2015 base year, the first year of the latest RTP process. The projections are included in the official travel models, which are publicly released at the conclusion of the RTP process. As these projections may be a valuable input to other analyses, this dataset is made available at http://data.wfrc.org/search?q=projections as a public service for informational purposes only. It is solely the responsibility of the end user to determine the appropriate use of this dataset for other purposes. Wasatch Front Real Estate Market Model (REMM) ProjectionsWFRC and MAG have developed a spatial statistical model using the UrbanSim modeling platform to assist in producing these annual projections. This model is called the Real Estate Market Model, or REMM for short. REMM is used for the urban portion of Weber, Davis, Salt Lake, and Utah counties. REMM relies on extensive inputs to simulate future development activity across the greater urbanized region. Key inputs to REMM include:Demographic data from the decennial census;County-level population and employment projections -- used as REMM control totals -- are produced by the University of Utah’s Kem C. Gardner Policy Institute (GPI) funded by the Utah State Legislature;Current employment locational patterns derived from the Utah Department of Workforce Services; Land use visioning exercises and feedback, especially in regard to planned urban and local center development, with city and county elected officials and staff;Current land use and valuation GIS-based parcel data stewarded by County Assessors;Traffic patterns and transit service from the regional Travel Demand Model that together form the landscape of regional accessibility to workplaces and other destinations; andCalibration of model variables to balance the fit of current conditions and dynamics at the county and regional level.‘Traffic Analysis Zone’ ProjectionsThe annual projections are forecasted for each of the Wasatch Front’s 2,800+ Traffic Analysis Zone (TAZ) geographic units. TAZ boundaries are set along roads, streams, and other physical features and average about 600 acres (0.94 square miles). TAZ sizes vary, with some TAZs in the densest areas representing only a single city block (25 acres). ‘City Area’ ProjectionsThe TAZ-level output from the model is also available for ‘city areas’ that sum the projections for the TAZ geographies that roughly align with each city’s current boundary. As TAZs do not align perfectly with current city boundaries, the ‘city area’ summaries are not projections specific to a current or future city boundary, but the ‘city area’ summaries may be suitable surrogates or starting points upon which to base city-specific projections.Summary Variables in the DatasetsAnnual projection counts are available for the following variables (please read Key Exclusions note below):DemographicsHousehold Population Count (excludes persons living in group quarters)Household Count (excludes group quarters)EmploymentTypical Job Count (includes job types that exhibit typical commuting and other travel/vehicle use patterns)Retail Job Count (retail, food service, hotels, etc)Office Job Count (office, health care, government, education, etc)Industrial Job Count (manufacturing, wholesale, transport, etc)Non-Typical Job Count* (includes agriculture, construction, mining, and home-based jobs) This can be calculated by subtracting Typical Job Count from All Employment Count.All Employment Count* (all jobs, this sums jobs from typical and non-typical sectors).* These variable includes REMM’s attempt to estimate construction jobs in areas that experience new and re-development activity. Areas may see short-term fluctuations in Non-Typical and All Employment counts due to the temporary location of construction jobs.Population and employment projections for the Wasatch Front area can be combined with those developed by Dixie MPO (St. George area), Cache MPO (Logan area), and the Utah Department of Transportation (for the remainder of the state) into one database for use in the Utah Statewide Travel Model (USTM). While projections for the areas outside of the Wasatch Front use different forecasting methods, they contain the same summary-level population and employment projections making similar TAZ and ‘City Area’ data available statewide. WFRC plans, in the near future, to add additional areas to these projections datasets by including the projections from the USTM model.Key Exclusions from TAZ and ‘City Area’ ProjectionsAs the primary purpose for the development of these population and employment projections is to model future travel in the region, REMM-based projections do not include population or households that reside in group quarters (prisons, senior centers, dormitories, etc), as residents of these facilities typically have a very low impact on regional travel. USTM-based projections also excludes group quarter populations. Group quarters population estimates are available at the county-level from GPI and at various sub-county geographies from the Census Bureau.

This statistic shows the leading metropolitan areas with the highest percentage of population aged under 18 years in the United States in 2019. In 2019, Provo-Orem, Utah was ranked first with **** percent of its population being under 18 years old.

Statistics for moving services in provo including costs, move sizes, and other relevant data as of December 2025.

This study focused on the geomorphological, ecological, and sedimentological impacts of the Jordanelle Dam Provo River, Utah. This particular study site provides a unique opportunity because the Jordanelle dam was put in place in 1992 and a large scale restoration project was completed in 2008, allowing for high resolution imagery and observations prior to dam placement and restoration. To monitor these effects, we established cross section study sites along the Provo River, with 5 above the dam and 5 below the dam. At each cross section, we measured baseline channel morphology characteristics via surveying and sediment size distribution via sediment collection and lab grain size analysis processing. We also inventoried vegetation characteristics along the river to monitor differences upstream and downstream of the dam. This data, combined with analysis of historical imagery and current high resolution imagery, enables us to identify geomorphic changes over time and evaluate the impacts of those changes on the post-engineered river system as it applies to current and future watershed management. Post-impoundment, we find that channels downstream of the dam have become more stable, allowing for vegetation colonization, as exhibited in land cover changes from bare soil to grass. This results in greater species richness owing to colonization of a more stable riparian zone, ultimately changing habitat conditions. Grain size increases below the dam, which is a known dam impact. This data is particularly important as Utah faces climate change and population growth, both of which stress water availability, and has the potential to inform and improve watershed management practices to result in both a healthy fluvial system and a sustainable water resource.

This dataset tracks annual white student percentage from 1999 to 2023 for Amelia Earhart School vs. Utah and Provo School District

This dataset tracks annual diversity score from 1999 to 2023 for Amelia Earhart School vs. Utah and Provo School District

This dataset tracks annual math proficiency from 2011 to 2023 for Amelia Earhart School vs. Utah and Provo School District