Graph and download economic data for Housing Inventory: Median Home Size in Square Feet in Dallas-Fort Worth-Arlington, TX (CBSA) (MEDSQUFEE19100) from Jul 2016 to Jun 2025 about Dallas, square feet, TX, median, and USA.

Housing Inventory: Median Home Size in Square Feet in Dallas-Fort Worth-Arlington, TX (CBSA) was 2187.00000 Level in May of 2025, according to the United States Federal Reserve. Historically, Housing Inventory: Median Home Size in Square Feet in Dallas-Fort Worth-Arlington, TX (CBSA) reached a record high of 2767.00000 in May of 2017 and a record low of 2100.00000 in January of 2025. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Median Home Size in Square Feet in Dallas-Fort Worth-Arlington, TX (CBSA) - last updated from the United States Federal Reserve on July of 2025.

Leasing activity in the big-box industrial market in Dallas-Fort Worth, Texas, declined in 2023. Most space was leased in properties falling in the 200,000 to 499,999 square feet size class, amounting to approximately 17 million square feet of the total 32.4 million square feet of big box space leased in 2023. The third-party logistics sector accounted for the largest share of leased space. Dallas-Forth Worth is one of the biggest and fastest growing industrial and logistic property markets in the United States.

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.

Housing Inventory: Median Home Size in Square Feet Month-Over-Month in Dallas-Fort Worth-Arlington, TX (CBSA) was 1.41% in May of 2025, according to the United States Federal Reserve. Historically, Housing Inventory: Median Home Size in Square Feet Month-Over-Month in Dallas-Fort Worth-Arlington, TX (CBSA) reached a record high of 4.41 in May of 2022 and a record low of -2.87 in August of 2018. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Median Home Size in Square Feet Month-Over-Month in Dallas-Fort Worth-Arlington, TX (CBSA) - last updated from the United States Federal Reserve on July of 2025.

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, household survey, TX, and USA.

This report describes the processing and results of land-cover and impervious surface derivation for parts of three metropolitan areas being studied as part of the U.S. Geological Survey's (USGS) National Water-Quality Assessment (NAWQA) Program Effects of Urbanization on Stream Ecosystems (EUSE). The data were derived primarily from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) satellite imagery from the period 1999-2002, and are provided as 30-meter resolution raster datasets. Data were produced to a standard consistent with data being produced as part of the USGS National Land Cover Database 2001 (NLCD01) Program, and were derived in cooperation with, and assistance from, NLCD01 personnel. The data were intended as surrogates for NLCD01 data because of the EUSE Program's time-critical need for updated land-cover for parts of the United States that would not be available in time from the NLCD01 Program. Six datasets are described in this report: separate land-cover (15-class categorical data) and imperviousness (0-100 percent continuous data) raster datasets for parts of the general Denver, Colorado area (South Platte River Basin), Dallas-Fort Worth, Texas area (Trinity River Basin), and Milwaukee-Green Bay, Wisconsin area (Western Lake Michigan Drainages).

[Summary provided by the USGS.]

Graph and download economic data for Estimate of Median Household Income for Dallas County, TX (MHITX48113A052NCEN) from 1989 to 2023 about Dallas County, TX; Dallas; households; TX; median; income; and USA.

Saudi Arabia's King Fahr International Airport covered by far the largest land area, more than ten times the size of the third biggest airport in the ranking, Dallas/Fort Worth International in the United States. The remaining nine airports from this ranking combined do not cover an area as big as the King Fahr International airport in Saudi Arabia does. The airport named after its king Also know as Dammam Airport, King Fahr International Airport started operations in 1999 under the reign of King Fahd ibn Abdulaziz. With three terminals, the airport handles more than a ***** of the international passengers arriving in Saudi Arabia. The airport is a hub for the country's flag carrier, Saudia, SaudiGulf Airlines, and the low-cost airline, Flynas. The largest airports are not also the busiest airports When considering the passenger volumes of airports worldwide, Dallas/Fort Worth International fell somewhat lower down the list. Due to the coronavirus pandemic, Atlanta-Hartsfield- Jackson lost its top spot as the world's busiest airport, with only **** million passengers uplifted in 2020. In that year, the first place was taken by Guangzhou Baiyun International Airport, with over **** million passengers.

This is one of over 400 major media market consumer surveys which have been gifted to Washington State University (WSU) by Leigh Stowell & Company, Inc. of Seattle, Washington, USA. This is a market research firm which specializes in providing newspapers, television affiliates and cable operators with market segmentation research pertinent to consumer purchasing patterns and the effective marketing of goods and services to program audiences. The data in the Stowell Archive were collected via random digit dialing and computer-aided telephone interviews (CATI). Most of the surveys focus on the marketing needs of mass media clients and contain demographics, psychographics, media exposure information, and purchasing behavior data about consumers in major metropolitan areas of the United States and Canada starting in 1989. The sample sizes of the surveys range from 500 to 3,000 respondents, averaging 1,000 observations per study. Data are available at the respondent level, and all observations are keyed to zip code or other geographic identifiers. Additional surveys are anticipated, with over twenty new media marke t studies being donated annually. The University's relationship with Leigh Stowell & Company, Inc. was cultivated by Dr. Nicholas Lovrich, Director of WSU's Division of Governmental Studies and Services (DGSS) and by Dr. John Pierce, former Dean of the WSU College of Liberal Arts over the course of a decade. DGSS collaborated with WSU Libraries Digital Services to process the gifted data files into this digital archive which features powerful search and download capabilities. Further refinement of the archive in accordance with the Data Documentation Initiative is progressing with support from the Office of the Provost, the College of Liberal Arts and the WSU Libraries. It is important to note that the year indicated by the study's title is the year that the original survey was published, and is not necessarily the year in which the interviews were conducted. Refer to the metadata field "Dates of Collection" to di scern the interview dates of each specific survey. Refer also to date fields within the data file itself.

computer-assisted personal interview (CAPI); computer-assisted telephone interview (CATI)This data collection was previously distributed by the National Endowment for the Arts (NEA) from their website. The SPPA 2012 was originally released in September 2013. This previous release has been revised to reflect changes in how the 2012 SPPA counted "interviews." Specifically, the Census revisions count "yes," "no," and "don't know" as interviews, in accordance with estimates generated from the 2008 and earlier waves of the SPPA. Alternatively, the September 2013 estimates provided by the U.S. Census Bureau had included respondents who "refused to answer" as interviews--an action that clouded comparisons with previous SPPA waves. Many of the 2012 SPPA estimates were unaffected by these revisions. And of those that were affected, most changes to participation rates were marginal, often in the range of 1-2 tenths of a percentage point. Users are strongly encouraged to refer the CPS User Guide (produced by the Census Bureau), which contains additional detailed technical documentation regarding the CPS study design, sampling frame used, and response rates. Users are also encouraged to read the SPPA User Guide (produced by the Urban Institute) for information about the SPPA, including the design, dealing with missing respondent data, weights, and multi-variable analysis.The universe statements for each variable are defined in the basic or supplement record layouts found in Attachment 6 and 7, respectively, of the CPS User Guide. The SPPA provides estimates for 32 states: Alabama; California; Colorado, Connecticut; Florida; Georgia; Illinois; Iowa; Kansas; Maine; Maryland; Massachusetts; Michigan; Minnesota; Missouri; Nebraska; Nevada; New Jersey; New York; North Carolina; North Dakota; Ohio; Oregon; Pennsylvania; Rhode Island; South Carolina; South Dakota; Texas; Virginia; Washington; West Virginia; and Wyoming. In addition, the SPPA can reliably supply arts participation estimates for 11 metropolitan areas: Boston-Worchester-Manchester, MA-NH; Chicago-Naperville-Michigan City, IL-IN; Dallas-Fort Worth, TX; Denver-Aurora-Boulder, CO; Detroit-Warren-Flint, MI; Los Angeles-Long Beach-Riverside, CA; Miami-Fort Lauderdale-Miami Beach, FL; New York-Newark-Bridgeport, NY-NJ-CT-PA; Philadelphia-Camden-Vineland, PA-NJ-DE-MD; San Jose-Francisco-Oakland, CA; and Washington-Baltimore-Northern Virginia, DC-MD-VA-WV. Users cannot do analysis that combines variables from Core 1 and Core 2 because respondents were assigned to either complete Core 1 or Core 2, but never Core 1 and Core 2. Also, analyses cannot use variables from more than two modules in the same runs since no respondent answered more than 2 modules. So doing such analyses can raise sample size concerns.Users must use appropriate weights to analyze the SPPA 2012 data. For online analysis, subsets of the data were created, each with the variables that need to be used with the 1 SPPA weight variable. The Part 2 dataset contains CPS variables and SPPA Core 1 questions including those about asked respondents' and their spouse/partners' artistic activity and frequency of participation in the past year. The Part 3 dataset contains CPS variables and SPPA Core 2 experimental questions including those about asked respondents' and their spouse/partners' artistic activity and frequency of participation in the past year. The Part 4 dataset contains CPS variables and SPPA modules A1 and D questions that asked respondents and their spouse/partners about reading, film, and sporting event attendance as well as creating, performing, and other artistic activities in the past year. The Part 5 dataset contains CPS variables and SPPA Module A2 questions that asked respondents about other live performances attendances and music listening preferences in the past year. The Part 6 dataset contains CPS variables and Modules B, C, and E questions including those that asked respondents about accessing art through media and frequency of participation through the media in the past year, creating arts through the media in the past year, and participation in arts education in the past year.The "PC" variables (e.g. JAZZ_PC) should be used to match the SPPA 2012 published results.Information regarding data processing for this data collection is in the "Codebook Notes" page(s) in the ICPSR Codebook. Most notably: For this data collection, ICPSR created the CASEID variable which is a unique case identifier. The "Basic CPS Record Layout" section in the CPS User Guide (see Attachment 6) contains many FILLER variables and a couple PADDING variables with column locations. Also, only 1 FILLER variable was found in the data that ICPSR received, and ICPSR removed the FILLER variable. As a result, the column locations in any ICPSR-released data product (e.g., codebook and setup files) will have column locations that are not consistent with locations described in the CPS User Guide. Please note that miss...

Graph and download economic data for All-Transactions House Price Index for Dallas-Plano-Irving, TX (MSAD) (ATNHPIUS19124Q) from Q4 1975 to Q1 2025 about Dallas, appraisers, HPI, TX, housing, price index, indexes, price, and USA.