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United States Price per Square: Townhouse: Columbus, OH data was reported at 95.339 USD th in Jul 2019. This records a decrease from the previous number of 108.000 USD th for May 2019. United States Price per Square: Townhouse: Columbus, OH data is updated monthly, averaging 102.500 USD th from May 2012 (Median) to Jul 2019, with 8 observations. The data reached an all-time high of 113.318 USD th in Nov 2017 and a record low of 72.000 USD th in Apr 2013. United States Price per Square: Townhouse: Columbus, OH data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB060: Price per Square: by Metropolitan Areas.
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United States Pending Sales: All Residential: Columbus, IN data was reported at 100.000 Unit in Jul 2020. This records a decrease from the previous number of 124.000 Unit for Jun 2020. United States Pending Sales: All Residential: Columbus, IN data is updated monthly, averaging 44.000 Unit from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 124.000 Unit in Jun 2020 and a record low of 5.000 Unit in Oct 2013. United States Pending Sales: All Residential: Columbus, IN data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB046: Pending Home Sales: by Metropolitan Areas.
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An ESRI Shapfile containing spatially generalized built-up areas for each decade from 1900 to 2010, and for 2015, for each core-based statistical area (CBSA, i.e., metropolitan and micropolitan statistical area) in the conterminous United States. These areas are derived from historical settlement layers from the Historical settlement data compilation for the U.S. (HISDAC-US, Leyk & Uhl 2018). See Burghardt et al. (2022) for details on the data processing.
Additionally, there is a CSV file (HISDAC-US_patch_statistics.csv) containing the counts of built-up property records (BUPR), and -locations (BUPL), as well as total building indoor area (BUI) and built-up area (BUA) per CBSA, year, and patch, extraced from the HISDAC-US data (Uhl & Leyk 2018, Uhl et al. 2021). This CSV can be joined to the shapefile (column uid2) by concatenating the columns msaid_year_Id.
Spatial coverage: all CBSAs that are covered by the HISDAC-US historical settlement layers. This dataset includes around 2,700 U.S. counties. In the remaining counties, construction year coverage in the underlying ZTRAX data (Zillow Transaction and Assessment Dataset) is low. See Uhl et al. (2021) for details. All data created by Johannes H. Uhl, University of Colorado Boulder, USA. Code available at https://github.com/johannesuhl/USRoadNetworkEvolution. References: Burghardt, K., Uhl, J., Lerman, K., & Leyk, S. (2022). Road Network Evolution in the Urban and Rural United States Since 1900. Computers, Environment and Urban Systems. Leyk, S., & Uhl, J. H. (2018). HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years. Scientific data, 5(1), 1-14. DOI: https://doi.org/10.1038/sdata.2018.175 Uhl, J. H., Leyk, S., McShane, C. M., Braswell, A. E., Connor, D. S., & Balk, D. (2021). Fine-grained, spatiotemporal datasets measuring 200 years of land development in the United States. Earth system science data, 13(1), 119-153. DOI: https://doi.org/10.5194/essd-13-119-2021
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United States PH: Authorized: Columbus: GA-AL data was reported at 74.000 Unit in Jun 2018. This records an increase from the previous number of 67.000 Unit for May 2018. United States PH: Authorized: Columbus: GA-AL data is updated monthly, averaging 89.000 Unit from Jan 1995 (Median) to Jun 2018, with 282 observations. The data reached an all-time high of 482.000 Unit in Jul 2001 and a record low of 33.000 Unit in Jan 2016. United States PH: Authorized: Columbus: GA-AL data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.EA012: Private Housing Units: Authorized: By Metropolitan Area.
This city boundary shapefile was extracted from Esri Data and Maps for ArcGIS 2014 - U.S. Populated Place Areas. This shapefile can be joined to 500 Cities city-level Data (GIS Friendly Format) in a geographic information system (GIS) to make city-level maps.
description: The 2016 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. In New England (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont), the Office of Management and Budget (OMB) has defined an alternative county subdivision (generally cities and towns) based definition of Core Based Statistical Areas (CBSAs) known as New England City and Town Areas (NECTAs). NECTAs are defined using the same criteria as Metropolitan Statistical Areas and Micropolitan Statistical Areas and are identified as either metropolitan or micropolitan, based, respectively, on the presence of either an urban area of 50,000 or more population or an urban cluster of at least 10,000 and less than 50,000 population. A NECTA containing a single core urban area with a population of at least 2.5 million may be subdivided to form smaller groupings of cities and towns referred to as NECTA Divisions. The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2015.; abstract: The 2016 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. In New England (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont), the Office of Management and Budget (OMB) has defined an alternative county subdivision (generally cities and towns) based definition of Core Based Statistical Areas (CBSAs) known as New England City and Town Areas (NECTAs). NECTAs are defined using the same criteria as Metropolitan Statistical Areas and Micropolitan Statistical Areas and are identified as either metropolitan or micropolitan, based, respectively, on the presence of either an urban area of 50,000 or more population or an urban cluster of at least 10,000 and less than 50,000 population. A NECTA containing a single core urban area with a population of at least 2.5 million may be subdivided to form smaller groupings of cities and towns referred to as NECTA Divisions. The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2015.
NJDOT has revised the New Jersey urban area based upon the 2020 U.S. Census urban area boundaries. The U.S. Census defines an Urbanized Area as any area with a population >= 5,000. Under the 2020 Urban Area definition, Urban Clusters are no longer a classification. FHWA, however, has slightly different criteria for what defines an urban area. Under FHWA, an Urban Area is >= 5,000, with Small Urban Areas 5,000-49,999 and Urbanized Areas >= 50,000. NJDOT followed the FHWA urban area definitions for this urban area update. To perform this update, NJDOT used the 2020 US Census urban areas greater than 5,000 in population. Since census urban area boundaries are based upon census block boundaries, which can be irregular, NJDOT extended outward the urban area ("smoothed") to the nearest road, stream, political boundary, or manmade feature. When a roadway is used as the adjusted boundary, the following buffers will be applied to include the right of way of the roadway: 50’ from undivided roadway centerlines (single centerline) and 80’ from divided roadway centerlines (dual centerline). Where there was no obvious boundary to smooth to, the census boundary was retained. NJDOT also expanded the urban area to include any densely developed areas not included in the 2020 census urban areas. The urban area update underwent a thorough public review and comment period. Representatives from NJDOT and the 3 metropolitan planning organizations (NJTPA, SJTPO, and DVRPC) met during various phases of the project to review the updated urban area. All comments were logged into an Urban Area Comment Tracking Form, and an official NJDOT response was provided for each comment. Further revisions were made to the urban area based upon comments from FHWA. These revisions were limited in scope and consisted of the following: 1) Smoothed the urban boundary outward at water boundaries: 1000’ from corporate boundary / shoreline for coastal areas and 500’ from corporate boundary / shoreline for bay areas. 2) Utilize Census State Boundary for the state boundary except for coastal boundaries.
The Park-and-Ride layer contains the 238 existing and future park-and-ride and park-and-pool lots in the Twin Cities Metropolitan area and surrounding counties.
The dataset was geocoded using TLG centerline streets. When specific site details were available, the geography was moved off the street lines to the actual lot locations using 2005 Markhurd orthophotography as a base layer. All attempts were made to correctly reflect the real lot locations; however, the positional accuracy of this data cannot be guaranteed.
The Park-and-Ride Annual Survey lookup table contains information about the capacity and usage at each park-and-ride and park-and-pool facility in the Twin Cities metropolitan area.
Attribute information is considered current to the metadata date and will be updated as needed.
This statistic shows the top metropolitan areas with the highest percentage of college graduates in the United States in 2019. In 2019, Boulder in Colorado was ranked first with 64.8 percent of its population having a Bachelor's degree or higher.
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United States Listings w/ Price Drops: Single Family: Columbus, IN data was reported at 47.015 % in Jul 2020. This records an increase from the previous number of 45.865 % for Jun 2020. United States Listings w/ Price Drops: Single Family: Columbus, IN data is updated monthly, averaging 23.377 % from Oct 2015 (Median) to Jul 2020, with 9 observations. The data reached an all-time high of 47.015 % in Jul 2020 and a record low of 0.424 % in Oct 2015. United States Listings w/ Price Drops: Single Family: Columbus, IN data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB041: Listings with Price Drops: by Metropolitan Areas.
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United States Off Within 2 Weeks: Single Family: Columbus, IN data was reported at 56.522 % in Jul 2020. This records a decrease from the previous number of 58.678 % for Jun 2020. United States Off Within 2 Weeks: Single Family: Columbus, IN data is updated monthly, averaging 0.000 % from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 58.678 % in Jun 2020 and a record low of 0.000 % in Jun 2019. United States Off Within 2 Weeks: Single Family: Columbus, IN data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB010: Off Market Within 2 Weeks: by Metropolitan Areas.
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United States Listings w/ Price Drops: Condo/Co-op: Columbus, IN data was reported at 40.000 % in Jul 2020. This records a decrease from the previous number of 66.667 % for May 2020. United States Listings w/ Price Drops: Condo/Co-op: Columbus, IN data is updated monthly, averaging 40.000 % from Feb 2020 (Median) to Jul 2020, with 5 observations. The data reached an all-time high of 66.667 % in May 2020 and a record low of 12.500 % in Mar 2020. United States Listings w/ Price Drops: Condo/Co-op: Columbus, IN data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB041: Listings with Price Drops: by Metropolitan Areas.
Metropolitan area median home prices -2005, 2006, 2007(p) and individual quarters for 2007.
In 2023, the real GDP of the Los Angeles metro area amount to around 1.08 trillion U.S. dollars, and increase after 2021. The overall quarterly GDP growth in the United States can be found here. Gross domestic product of Los AngelesWith a population of over 12.8 million inhabitants in 2023, Los Angeles is the second-largest city in America, following only New York. The Los Angeles metro area also ranked second among U.S. metro areas in terms of gross metropolitan product, second again only to New York City metro area, which came in with a GMP of 1.99 trillion U.S. dollars to Los Angeles’ 1.13 trillion U.S. dollars in the fiscal year of 2021. Chicago metro area ranked third with GMP of 757.2 billion U.S. dollars. Additional detailed statistics about GDP in the United States is available here. Despite Los Angeles’ high GDP, L.A. did not do as well as some cities in terms of median household income. Los Angeles ranked 9th with a median household income of 76,135 U.S. dollars annually in 2022. This was slightly higher than the median household income of the United States in 2022, which came in at 74,580 U.S. dollars annually. Located in Southern California, Los Angeles is home to Hollywood, the famous epicenter of the U.S. film and television industries. The United States is one of the leading film markets worldwide, producing 449 films in 2022, many of them produced by Hollywood-based studios. In 2018, movie ticket sales in North America generated over 11.89 billion U.S. dollars in box office revenue. Famous Hollywood actresses earn millions annually, with the best paid, Sofia Vergara, earning 43 million U.S. dollars in 2020. Second on the list was Angelina Jolie with earnings of 35.5 million U.S. dollars.
In 2023, the population of the Phoenix-Mesa-Chandler metropolitan area in the United States was about 5.1 million people. This is a slight increase from the previous year, when the population was about 5.02 million people.
The Salt River Biodiversity Project collects vegetation data in several urban wetlands across the Phoenix area (Arizona) along the historic channel of the Salt River. This study, along with bird and reptile monitoring (Bateman and Childers 2022, Bateman and Warren 2022), began in 2012. These biodiversity monitoring initiatives help understand how community composition, biodiversity, and ecosystem structure are changing as a result of pressures such as urbanization, climate change, and land management decisions. This dataset contains vegetation assessments from 2012 as well as a reassessment ten years later (2022 and 2023).
Bateman, H. and D. Childers. 2022. Long-term monitoring of herpetofauna along the Salt and Gila Rivers in and near the greater Phoenix metropolitan area, ongoing since 2012 ver 8. Environmental Data Initiative. https://doi.org/10.6073/pasta/3cc81cce91185cdeeded320c4a3528df Accessed 2024-09-11.
Bateman, H. and P. Warren. 2022. Point-count bird censusing: long-term monitoring of bird abundance and diversity along the Salt River in the greater Phoenix metropolitan area, ongoing since 2013 ver 8. Environmental Data Initiative. https://doi.org/10.6073/pasta/070c0bec46e1336684c534f9a4034334 Accessed 2024-09-11.
In 2023, the GDP of the New York metro area amounted to *** trillion chained 2017 U.S. dollars. This is an increase from 2021, when the GDP of the New York metro area was **** trillion dollars. New York CityThe New York metro area’s GDP has steadily risen in the last two decades from *** trillion U.S. dollars in 2001 to **** trillion U.S. dollars in 2023. In September 2023, the New York- Newark-Jersey City area had an unemployment rate of *** percent. It also had the highest population in the country in 2022 at ***** million people. New York City’s economy is one of the greatest in the country and is home to many Fortune 500 companies, including Big Pharma’s Bristol-Myers Squibb. Industries such as media, real estate, fashion and entertainment are some of the most prominent in the area. The finance industry in New York City, also known as Wall Street, is one of the leading financial centers of the world and houses the New York Stock Exchange and NASDAQ. The region is also home to one of the largest trading industries in the country at the Port of New York and New Jersey. This port includes a large estuary, regional airports, and a plethora of rail and road networks. Silicon Alley is one of the country’s largest technology industry hubs, including internet, telecommunications, and biotechnology. In 2022, there were some ****** business establishments in the region that focused on professional, scientific, and technical services.
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United States Price per Square: Townhouse: Portland, ME data was reported at 168.695 USD th in Jul 2020. This records an increase from the previous number of 150.865 USD th for Jun 2020. United States Price per Square: Townhouse: Portland, ME data is updated monthly, averaging 166.767 USD th from May 2015 to Jul 2020, with 61 observations. The data reached an all-time high of 333.333 USD th in Apr 2020 and a record low of 89.874 USD th in May 2015. United States Price per Square: Townhouse: Portland, ME data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB060: Price per Square: by Metropolitan Areas.
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United States Months of Supply: All Residential: Lewiston, ME data was reported at 0.800 Month in Jul 2020. This records an increase from the previous number of 0.700 Month for Jun 2020. United States Months of Supply: All Residential: Lewiston, ME data is updated monthly, averaging 3.400 Month from May 2015 (Median) to Jul 2020, with 63 observations. The data reached an all-time high of 11.600 Month in Jan 2016 and a record low of 0.700 Month in Jun 2020. United States Months of Supply: All Residential: Lewiston, ME data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB029: Months of Supply: by Metropolitan Areas.
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United States Price per Square: Single-Family: Augusta, ME data was reported at 122.354 USD th in Jul 2020. This records a decrease from the previous number of 124.051 USD th for Jun 2020. United States Price per Square: Single-Family: Augusta, ME data is updated monthly, averaging 90.904 USD th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 124.051 USD th in Jun 2020 and a record low of 67.131 USD th in Feb 2015. United States Price per Square: Single-Family: Augusta, ME data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB060: Price per Square: by Metropolitan Areas.
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United States Price per Square: Townhouse: Columbus, OH data was reported at 95.339 USD th in Jul 2019. This records a decrease from the previous number of 108.000 USD th for May 2019. United States Price per Square: Townhouse: Columbus, OH data is updated monthly, averaging 102.500 USD th from May 2012 (Median) to Jul 2019, with 8 observations. The data reached an all-time high of 113.318 USD th in Nov 2017 and a record low of 72.000 USD th in Apr 2013. United States Price per Square: Townhouse: Columbus, OH data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB060: Price per Square: by Metropolitan Areas.