Graph and download economic data for Resident Population in Dallas-Fort Worth-Arlington, TX (MSA) (DFWPOP) from 2000 to 2024 about Dallas, residents, TX, population, and USA.

In 2023, the population of the Dallas-Fort Worth-Arlington metropolitan area in the United States was about 8.1 million people. This was a slight increase from the previous year, where the population was about 7.95 million people.

Historical dataset of population level and growth rate for the Dallas-Fort Worth metro area from 1950 to 2025.

In 2023, the GDP of the Dallas-Fort Worth metro area amounted to around ****** U.S. dollars, an increase on the previous year. The Dallas-Fort Worth metro area The Dallas–Fort Worth–Arlington Metropolitan Statistical Area is composed of ** counties within the U.S. state of Texas. Dallas–Plano–Irving and Fort Worth–Arlington are the two metropolitan divisions of the area. It is the economic and cultural hub of North Texas or North Central Texas, and is commonly referred to as the Dallas/Fort Worth metro area, DFW or The Metroplex by residents. Estimates of the 2022 population of the Metroplex were roughly **** million inhabitants. The Dallas Cowboys The Dallas Cowboys are a well-known sports team from the city of Dallas in the Dallas/Fort Worth metroplex. The Dallas Cowboy’s franchise value has risen greatly since 2002. The franchise was valued at *** million U.S. dollars in 2002. As of 2022, the Dallas Cowboys franchise was valued around **** billion U.S. dollars. The Dallas Cowboys also ranked first on a list in terms of 2022 revenue of national football league teams, being the only team to have generated more than a billion U.S. dollars in revenue that year, about *** million more U.S. dollars than the second ranked team, the Las Vegas Raiders. In 2022, the average ticket price for Dallas Cowboys games was *** U.S. dollars.

Graph and download economic data for Employed Persons in Dallas-Fort Worth-Arlington, TX (MSA) (LAUMT481910000000005) from Jan 1990 to Aug 2025 about Dallas, TX, household survey, persons, employment, and USA.

Resident Population in Dallas-Fort Worth-Arlington, TX (MSA) was 8344.03200 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Dallas-Fort Worth-Arlington, TX (MSA) reached a record high of 8344.03200 in January of 2024 and a record low of 5196.18800 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Dallas-Fort Worth-Arlington, TX (MSA) - last updated from the United States Federal Reserve on December of 2025.

Comprehensive demographic dataset for Fort Worth Ave, Dallas, TX, 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 Unemployed Persons in Dallas-Fort Worth-Arlington, TX (MSA) (LAUMT481910000000004A) from 1990 to 2024 about Dallas, TX, household survey, persons, unemployment, and USA.

Graph and download economic data for Civilian Labor Force in Dallas-Fort Worth-Arlington, TX (MSA) (LAUMT481910000000006A) from 1990 to 2024 about Dallas, civilian, labor force, labor, TX, household survey, and USA.

Graph and download economic data for Unemployment Rate in Dallas-Fort Worth-Arlington, TX (MSA) (LAUMT481910000000003A) from 1990 to 2024 about Dallas, TX, household survey, unemployment, rate, and USA.

View monthly updates and historical trends for Dallas-Fort Worth, TX Unemployment Rate. Source: Bureau of Labor Statistics. Track economic data with YChar…

The USGS Central Region Energy Team assesses oil and gas resources of the United States. The onshore and State water areas of the United States comprise 71 provinces. Within these provinces, Total Petroleum Systems are defined and Assessment Units are defined and assessed. Each of these provinces is defined geologically, and most province boundaries are defined by major geologic changes. The Bend Arch-Fort Worth Basin Province is located in north central Texas and south western Oklahoma, encompassing all or parts of Archer, Bandera, Baylor, Blanco, Bosque, Brown, Burnet, Callahan Clay, Coleman, Collin, Comanche, Concho, Cooke, Coryell, Dallas, Denton, Eastland, Ellis, Erath, Foard, Gillespie, Grayson, Hardeman, Harmon, Haskell, Hill, Jack, Jackson, Johnson, Jones, Kendall, Kerr, Kimble, Know, Lampasas, Llano, Mason, McCulloch, McLennan, Menard, Mills, Montague, Palo Pinto, Parker, Real, Runnels, San Saba, Shackelford, Somervell, Stephens, Tarrant, Taylor, Throckmorton, Tillman, Wichita, Wilbarger, Wise, Young Counties in Texas and Harmon, Jackson and Tillman Counties in Oklahoma. The main population centers within the study area are Dallas and Fort Worth, Texas. The main highway, I-20, generally traverses the area from east to west and I-35 traverses the eastern edge of the Province from north to south. The Colorado River, Brazos River and Pease River (RED RIVER) and their tributaries drain the area. For this study the Bend Arch-Fort Worth Province also includes Hardeman Basin.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Dallas-Fort Worth International Airport (Other) in Texas, including incidents, statistics, demographics, and detailed incident information.

This dataset provides a comprehensive overview of academic performance, student engagement, and sentiment trends collected from educational institutions in the Dallas-Fort Worth metropolitan area, including institutions such as Southern Methodist University, University of Texas at Arlington, Dallas College, and Texas Christian University. Covering the period from January 2018 to December 2024, the dataset includes hourly records that capture students' experiences across various programs and disciplines. Data sources include institutional records, learning management systems, and student feedback platforms, providing insights into academic achievements, student behaviors, and support services utilization.

The dataset aims to facilitate in-depth analysis of performance trends, engagement patterns, and the effectiveness of academic support services, making it suitable for educational data mining and predictive modeling. Prior to analysis, the data underwent preprocessing steps to handle missing values, mitigate outliers, and adjust for institutional variations, ensuring reliability and consistency.

Dataset Features Overview

S.No Features Description 1 Timestamp The date and time when the data was recorded, on an hourly basis. 2 Student_ID A unique identifier assigned to each student in the dataset. 3 Age The age of the student at the time of data collection. 4 Gender The gender of the student (encoded as binary or categorical values). 5 Ethnicity The ethnic background of the student, based on available demographic data. 6 SES Socioeconomic status indicator reflecting the student's background. 7 Location The geographic location where the data was collected, specifically in the Dallas-Fort Worth area. 8 Enrollment_Status Status indicating whether the student is enrolled full-time or part-time. 9 GPA Grade Point Average, representing the student's academic performance. 10 Attendance_Rate The rate at which the student attends classes, expressed as a percentage. 11 Study_Hours_per_Week The number of hours the student spends studying each week. 12 Extracurricular_Participation A score indicating the level of participation in extracurricular activities. 13 Course_Load The number of courses a student is taking during a given period. 14 Previous_Academic_Performance A historical indicator of the student's academic performance. 15 Course_Type The type of course (e.g., lecture, lab, seminar). 16 Instructor_Rating A rating reflecting the student's satisfaction with the instructor's teaching. 17 Learning_Style_Compatibility A score indicating how well the student's preferred learning style aligns with the course's format. 18 Career_Alignment_Indicator Measures the alignment between the course content and the student's career goals. 19 Library_Usage_Frequency The frequency with which the student accesses the library or online learning resources. 20 Study_Group_Participation Participation in study groups or collaborative learning activities. 21 Resource_Access_Score An indicator of the student's access to academic resources. 22 Peer_Interaction_Score A measure of the student's interaction with peers. 23 Stress_Indicator_Score A score reflecting the student's reported stress level. ... ... ... 43 Learning_Satisfaction_Level Indicator of the student's satisfaction with their learning experience. This dataset allows researchers and analysts to explore key factors affecting academic success, engagement, and satisfaction in a real-world educational environment.

Coastal Moving Services’ 2025 destinations dataset with median home prices, rent, cost of living, unemployment, industries, and key notes.

U.S. Census Bureau QuickFacts statistics for Missouri City city, Texas. 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.

The Corps Water Management System (CWMS) includes four interrelated models to assist with water management for the basin: - GeoHMS (Geospatial Hydrologic Modeling Extension) - ResSIM (Reservoir System Simulation) - RAS (River Analysis System) - FIA (Flood Impact Analysis)

The West Fork Trinity River begins in Archer County and flow in a southeasterly direction for approximately 715 miles to empty into Trinity Bay which empties into Galveston Bay and then into the Gulf of Mexico. The Trinity River and its principal tributaries West Fork, Clear Fork, Denton Creek, Elm Fork, and East Fork flow through the urban populations of the Fort Worth/Dallas Metropolitan area. The Trinity River then flows from Dallas to the Texas coast through primarily agricultural land. The total drainage area of the Trinity River basin is approximately 17,969 square miles. The precipitation varies from northwest to southeast portion of the basin. The northern portion of the basin receives 35-40 inches of precipitation, on average, each year. As one travel southeast, the average annual precipitation exceeds 50 inches. The basin, particularly in the southeast, can experience extremely intense precipitation events capable of producing staggering rainfall totals. These systems range from intense thunderstorms to hurricanes. The range in average annual precipitation is shown on the figure below. Many reservoirs were constructed in the Trinity Basin, and they are managed for flood control, water supply, recreation, and other uses. Several entities assist with water management operations including: U.S. Army Corp of Engineers (USACE), Tarrant Regional Water District (TRWD), Dallas Water Utilities, Trinity River Authority (TRA), and North Texas Municipal Water District (NTMWD). Reservoirs in the basin with USACE regulatory authority include; Benbrook Dam, Joe Pool Dam, Ray Roberts Dam, Lewisville Dam, Grapevine Dam, Lavon Dam, Navarro Mills Dam, and Bardwell Dam. The Upper Trinity encompasses the Fort Worth/Dallas Metropolitan area and five of the USACE reservoirs provide flood reduction management for the urban area. During non-flood control operation, the USACE reservoirs are operated for water supply requests from local water authorities: TRWD, Dallas Water Utilities, and, NTWMD. During flood control operations, the USACE reservoirs are operated to multiple downstream USGS gages within the urban area to provide a balanced system approach of the USACE flood storage and the local water supply reservoir releases. Priority is first given to the local water supply reservoir releases at the downstream USGS gage locations. The USGS gages within the Fort Worth/Dallas Metropolitan area that are key downstream constraints for system balancing are: West Fork Trinity River at Fort Worth, West Fork Trinity River at Grand Prairie, Elm Fork Trinity River near Carrollton, and Trinity River at Dallas.

This map shows median household income by race and by age of householder. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey. This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2016-2020ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053Data downloaded from: Census Bureau's API for American Community Survey Date of API call: March 17, 2022The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, 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 level 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 still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2016-2020 5-year estimates, Table(s) B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053

The cities expected by industry experts to have the highest investor demands in the United States in 2023 were chosen due to their sustained population and job growth, attraction to educated millennials, high levels of economic diversity, and white-collar employment among others. Austin, Nashville, and Dallas Fortworth ranked highest among the top 15 cities with the highest projected investor demand in real estate in the United States for 2023.

The size of the North America Commercial Drone Market market was valued at USD XX Million in 2024 and is projected to reach USD XXX Million by 2033, with an expected CAGR of 9.9 % during the forecast period. Recent developments include: In January 2024, Walmart announced the largest drone delivery expansion, which includes stores across the Dallas-Fort Worth area. This expansion aims to offer drone delivery to up to 75% of the Dallas-Fort Worth population, covering more than 30 towns and municipalities without the help of dedicated observers who can see the drone at all times, called the Beyond Visual Line of Sight (BVLOS). , In October 2023, Amazon Pharmacy recently announced drone delivery for medications. This service is initially being launched in College Station, Texas, allowing customers to receive their prescription medications delivered right outside their door within 60 minutes or less. By introducing drone delivery for medications, Amazon aims to enhance convenience and access to appropriate patient care, bridging the gap between diagnosis and treatment within a critical timeframe. .