Graph and download economic data for Housing Inventory: Median Days on Market Month-Over-Month in Atlanta-Sandy Springs-Roswell, GA (CBSA) (MEDDAYONMARMM12060) from Jul 2017 to May 2025 about Atlanta, GA, median, and USA.

Atlanta-Sandy Springs-Marietta, GA - All-Transactions House Price Index for Atlanta-Sandy Springs-Alpharetta, GA (MSA) was 294.46000 Index 1995 Q1=100 in October of 2021, according to the United States Federal Reserve. Historically, Atlanta-Sandy Springs-Marietta, GA - All-Transactions House Price Index for Atlanta-Sandy Springs-Alpharetta, GA (MSA) reached a record high of 294.46000 in October of 2021 and a record low of 38.27000 in January of 1976. Trading Economics provides the current actual value, an historical data chart and related indicators for Atlanta-Sandy Springs-Marietta, GA - All-Transactions House Price Index for Atlanta-Sandy Springs-Alpharetta, GA (MSA) - last updated from the United States Federal Reserve on April of 2025.

Graph and download economic data for Housing Inventory: Active Listing Count Month-Over-Month in Atlanta-Sandy Springs-Roswell, GA (CBSA) (ACTLISCOUMM12060) from Jul 2017 to May 2025 about Atlanta, active listing, GA, listing, and USA.

The S&P Case Shiller Atlanta Home Price Index has been steadily rising since 2017. The index measures changes in prices of existing single-family homes. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given month, for example, it means that the house prices increased by 30 percent since 2000. The value of the S&P Case Shiller Atlanta Home Price Index amounted to more than 250 in August 2024. That was below the national average.

Graph and download economic data for S&P CoreLogic Case-Shiller GA-Atlanta Home Price Index (ATXRNSA) from Jan 1991 to Mar 2025 about Atlanta, GA, HPI, housing, price index, indexes, price, and USA.

Graph and download economic data for All Employees: Financial Activities: Real Estate and Rental and Leasing in Atlanta-Sandy Springs-Roswell, GA (MSA) (SMU13120605553000001SA) from Jan 1990 to Apr 2025 about Atlanta, leases, rent, real estate, GA, employment, and USA.

Graph and download economic data for Market Hotness: Page View Count per Property in Fulton County, GA (LDPEPRMMCOUNTY13121) from Sep 2017 to Feb 2025 about Fulton County, GA; Atlanta; GA; listing; and USA.

These data were developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable. .
For a deep dive into the data model including every specific metric, see the ACS 2018-2022 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e22Estimate from 2018-22 ACS_m22Margin of Error from 2018-22 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_22Change, 2010-22 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLineStatistical (buffer)BeltLineStatisticalSub (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)HSSA = High School Statistical Area (11 county region)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)State of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2018-2022). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2018-2022Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://opendata.atlantaregional.com/documents/3b86ee614e614199ba66a3ff1ebfe3b5/about

The average rent for warehouse space in Atlanta, Georgia, experienced a significant rise between 2017 and 2024. By the first quarter of 2024, rents had more than doubled, reaching 8.48 U.S. dollars per square foot. In 2017, this figure was 3.94 U.S. dollars per square foot. In the U.S., Atlanta is one of the markets with the most industrial and logistics real estate inventory.

The US residential real estate market, a significant component of the global market, is characterized by a moderate but steady growth trajectory. With a projected Compound Annual Growth Rate (CAGR) of 2.04% from 2025 to 2033, the market demonstrates resilience despite fluctuating economic conditions. The 2025 market size, while not explicitly provided, can be reasonably estimated based on available data and considering recent market trends. Assuming a continuation of the observed growth pattern in preceding years, a substantial market value in the trillions is plausible. Key drivers include sustained population growth, particularly in urban areas, increasing household formations among millennials and Gen Z, and ongoing demand for both rental properties (apartments and condominiums) and owner-occupied homes (landed houses and villas). However, challenges persist, including rising interest rates which impact affordability, supply chain constraints affecting new construction, and the potential for macroeconomic shifts to influence buyer confidence. Segmentation analysis highlights the varying performance across property types, with apartments and condominiums potentially experiencing higher demand in urban centers while landed houses and villas appeal to a different demographic profile and geographic distribution. The competitive landscape includes a mix of large publicly traded real estate investment trusts (REITs) like AvalonBay Communities and Equity Residential, regional developers like Mill Creek Residential, and established brokerage firms such as RE/MAX and Keller Williams Realty Inc., all vying for market share within distinct segments. The geographical distribution of the market shows significant concentration within North America, particularly in the US, reflecting established infrastructure, economic stability, and favorable regulatory environments. While other regions like Europe and Asia-Pacific contribute to the global market, the US continues to be a dominant force. The forecast period (2025-2033) suggests continued expansion, albeit at a moderate pace, indicating a relatively stable and mature market that remains attractive for investment and development. Future growth hinges upon addressing affordability concerns, navigating fluctuating interest rates, and managing supply-demand dynamics to ensure sustainable market expansion. Government policies influencing housing affordability and construction regulations will play a crucial role in shaping the future trajectory of the US residential real estate sector. Recent developments include: May 2022: Resource REIT Inc. completed the sale of all of its outstanding shares of common stock to Blackstone Real Estate Income Trust Inc. for USD 14.75 per share in an all-cash deal valued at USD 3.7 billion, including the assumption of the REIT's debt., February 2022: The largest owner of commercial real estate in the world and private equity company Blackstone is growing its portfolio of residential rentals and commercial properties in the United States. The company revealed that it would shell out about USD 6 billion to buy Preferred Apartment Communities, an Atlanta-based real estate investment trust that owns 44 multifamily communities and roughly 12,000 homes in the Southeast, mostly in Atlanta, Nashville, Charlotte, North Carolina, and the Florida cities of Jacksonville, Orlando, and Tampa.. Notable trends are: Existing Home Sales Witnessing Strong Growth.

Graph and download economic data for Housing Inventory: Pending Listing Count in Atlanta-Sandy Springs-Roswell, GA (CBSA) (PENLISCOU12060) from Jul 2016 to May 2025 about pending, Atlanta, GA, listing, and USA.

This dataset provides information about the number of properties, residents, and average property values for Toll House Lane cross streets in Atlanta, GA.

Atlanta-Sandy Springs-Alpharetta, GA - All Employees: Financial Activities: Real Estate and Rental and Leasing in Atlanta-Sandy Springs-Roswell, GA (MSA) was 57.81796 Thous. of Persons in March of 2025, according to the United States Federal Reserve. Historically, Atlanta-Sandy Springs-Alpharetta, GA - All Employees: Financial Activities: Real Estate and Rental and Leasing in Atlanta-Sandy Springs-Roswell, GA (MSA) reached a record high of 58.55947 in June of 2024 and a record low of 25.35481 in April of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for Atlanta-Sandy Springs-Alpharetta, GA - All Employees: Financial Activities: Real Estate and Rental and Leasing in Atlanta-Sandy Springs-Roswell, GA (MSA) - last updated from the United States Federal Reserve on June of 2025.

Graph and download economic data for Housing Inventory: Median Listing Price in DeKalb County, GA (MEDLISPRI13089) from Jul 2016 to May 2025 about De Kalb County, GA; Atlanta; GA; listing; median; price; and USA.

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data

The Italian real estate market, valued at approximately €XX million in 2025, exhibits robust growth potential, driven by a compound annual growth rate (CAGR) exceeding 5% through 2033. This expansion is fueled by several key factors. Increased tourism and a growing luxury market, particularly in renowned cities like Rome, Florence, and Venice, significantly contribute to demand. Furthermore, a rising influx of foreign investors seeking high-quality properties and the increasing popularity of Italian lifestyle contribute to the market's dynamism. The market is segmented into villas and landed houses, apartments and condominiums, further differentiated geographically across major Italian cities and other regions. While the luxury segment commands significant attention, the broader market reflects diverse needs and price points, catering to both domestic and international buyers. Potential constraints to growth include economic uncertainties and fluctuating government regulations influencing property investment. However, the overall outlook remains positive, projecting sustained growth driven by the enduring appeal of Italian real estate and increasing global interest. The major players in the Italian real estate market, including Christie's International Real Estate, Sotheby's International Realty, and numerous local agencies, are well-positioned to capitalize on this expansion. The regional distribution of investment reflects global interest, with North America, Europe, and the Asia-Pacific region showing significant participation. Future growth is anticipated to be influenced by broader economic conditions, shifts in investor sentiment, and infrastructural developments. Continuous monitoring of these factors will be crucial for accurate market forecasting. Maintaining a competitive landscape, along with innovative marketing strategies and property management solutions, will likely determine success within this dynamic sector. The overall market shows considerable resilience and potential for substantial expansion over the next decade. Recent developments include: June 2022: The multinational real estate company Hines and Blue Noble, co-investors in the "Future Living" fund run by Savills Investment Administration SGR SpA, confirmed that a leasing deal with Starhotels for the management of a portion of the Corso Italia asset in the center of Florence has been finalized. As part of the new residential rental offer at Il Teatro Luxury Apartments - Starhotels Collezione, more than 150 luxury apartments of different sizes and styles will be available for stays of a few weeks to a few months.So, Corso Italia will start up again, keeping the area's cultural history while offering cutting-edge, in-demand apartments for rent., March 2022: Christie's International Real Estate announced their acquisition of Ansley Real Estate, a leading Atlanta-area luxury brokerage firm. After the acquisition, the company became known as Ansley Christie's International Real Estate. This acquisition will reinforce the brokerage's leadership in Atlanta's luxury market.. Notable trends are: Increase in Residential Properties across the Italy due to Less Mortgage Rates.

Greater Los Angeles, New York, and Dallas/Ft. Worth were the metros that attracted the most multifamily investment in the four quarters ending in second quarter 2024. The three metros recorded over seven billion U.S. dollars in investment. Other popular markets included Greater Washington D.C., Atlanta, and Miami-South Florida.

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable. For a deep dive into the data model including every specific metric, see the ACS 2017-2021 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e21Estimate from 2017-21 ACS_m21Margin of Error from 2017-21 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_21Change, 2010-21 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLine (buffer)BeltLine Study (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Planning Unit STV (3 NPUs merged to a single geographic unit within City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)City of Atlanta Neighborhood Statistical Areas E02E06 (2 NSAs merged to single geographic unit within City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)SPARCC = Strong, Prosperous And Resilient Communities ChallengeState of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)WFF = Westside Future Fund (subarea of City of Atlanta)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2017-2021). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2017-2021Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://garc.maps.arcgis.com/sharing/rest/content/items/34b9adfdcc294788ba9c70bf433bd4c1/data

Graph and download economic data for Market Hotness: Demand Score in Clayton County, GA (DESCCOUNTY13063) from Aug 2017 to Apr 2025 about Clayton County, GA; demand; score; Atlanta; GA; and USA.

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable. For a deep dive into the data model including every specific metric, see the ACS 2017-2021 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e21Estimate from 2017-21 ACS_m21Margin of Error from 2017-21 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_21Change, 2010-21 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLine (buffer)BeltLine Study (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Planning Unit STV (3 NPUs merged to a single geographic unit within City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)City of Atlanta Neighborhood Statistical Areas E02E06 (2 NSAs merged to single geographic unit within City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)SPARCC = Strong, Prosperous And Resilient Communities ChallengeState of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)WFF = Westside Future Fund (subarea of City of Atlanta)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2017-2021). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2017-2021Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://garc.maps.arcgis.com/sharing/rest/content/items/34b9adfdcc294788ba9c70bf433bd4c1/data