Graph and download economic data for All-Transactions House Price Index for Atlanta-Sandy Springs-Alpharetta, GA (MSA) (ATNHPIUS12060Q) from Q4 1975 to Q4 2024 about Atlanta, appraisers, GA, HPI, housing, price index, indexes, price, 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 *** in a given month, for example, it means that the house prices increased by ** percent since 2000. The value of the S&P Case Shiller Atlanta Home Price Index amounted to more than *** in August 2024. That was below the national average.

The U.S. housing market has slowed, after ** consecutive years of rising home prices. In 2021, house prices surged by an unprecedented ** percent, marking the highest increase on record. However, the market has since cooled, with the Freddie Mac House Price Index showing more modest growth between 2022 and 2024. In 2024, home prices increased by *** percent. That was lower than the long-term average of *** percent since 1990. Impact of mortgage rates on homebuying The recent cooling in the housing market can be partly attributed to rising mortgage rates. After reaching a record low of **** percent in 2021, the average annual rate on a 30-year fixed-rate mortgage more than doubled in 2023. This significant increase has made homeownership less affordable for many potential buyers, contributing to a substantial decline in home sales. Despite these challenges, forecasts suggest a potential recovery in the coming years. How much does it cost to buy a house in the U.S.? In 2023, the median sales price of an existing single-family home reached a record high of over ******* U.S. dollars. Newly built homes were even pricier, despite a slight decline in the median sales price in 2023. Naturally, home prices continue to vary significantly across the country, with West Virginia being the most affordable state for homebuyers.

Graph and download economic data for All-Transactions House Price Index for Georgia (GASTHPI) from Q1 1975 to Q1 2025 about appraisers, GA, HPI, housing, price index, indexes, price, and USA.

The US residential real estate market, a cornerstone of the American economy, is projected to experience steady growth over the next decade. While the provided CAGR of 2.04% is a modest figure, it reflects a market maturing after a period of significant expansion. This sustained growth is driven by several key factors. Firstly, population growth and urbanization continue to fuel demand for housing, particularly in densely populated areas and emerging suburban markets. Secondly, low interest rates (historically, though this can fluctuate) have made mortgages more accessible, stimulating buyer activity. Thirdly, a robust construction sector, though facing challenges in material costs and labor shortages, is gradually increasing the housing supply, mitigating some of the upward pressure on prices. However, challenges remain. Rising inflation and potential interest rate hikes pose a risk to affordability, potentially dampening demand. Furthermore, the ongoing evolution of remote work is reshaping residential preferences, with a shift toward larger homes in suburban or exurban locations. This trend impacts the relative demand for various property types, potentially increasing the appeal of landed houses and villas compared to apartments and condominiums in certain regions. The segmentation of the market into apartments/condominiums and landed houses/villas provides crucial insights into consumer preferences and investment strategies. High-density urban areas will continue to see strong demand for apartments and condos, while suburban and rural areas are likely to experience a greater increase in landed property sales. Major players like Simon Property Group, Mill Creek Residential, and others are strategically adapting to these trends, focusing on both development and management across various property types and geographic locations. Analyzing regional data within the US (e.g., comparing growth in the Northeast versus the Southwest) will highlight market nuances and potential investment opportunities. While the global data provided is valuable for understanding broader market forces, focusing the analysis on the US market allows for a more granular understanding of the specific drivers, trends, and challenges within this significant segment of the real estate sector. The forecast period (2025-2033) suggests continued, albeit measured, expansion. 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.. Key drivers for this market are: Investment Plan Towards Urban Rail Development. Potential restraints include: Italy’s Fragmented Approach to Tenders. Notable trends are: Existing Home Sales Witnessing Strong Growth.

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, 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 All-Transactions House Price Index for Atlanta-Sandy Springs-Alpharetta, GA (MSA) - last updated from the United States Federal Reserve on June of 2025.

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

Graph and download economic data for All-Transactions House Price Index for Fulton County, GA (ATNHPIUS13121A) from 1975 to 2024 about Fulton County, GA; Atlanta; GA; HPI; housing; price index; indexes; price; and USA.

Graph and download economic data for Housing Inventory: Price Increased Count Year-Over-Year in Bartow County, GA (PRIINCCOUYY13015) from Jul 2017 to Jun 2025 about Bartow County, GA; Atlanta; GA; price; 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 Metro Atlanta Housing Strategy is developed by the Research & Analytics Group at the Atlanta Regional Commission. The Atlanta region must offer greater access to quality, affordable housing to maintain our strong economy and high quality of life and empower residents by providing the opportunities they need to succeed. Metro Atlanta has long been an affordable place to live, helping fuel our explosive growth. We need to invest in housing in order to keep this competitive advantage and meet the needs of households across the region.Good housing options should be widely available, in communities large and small, urban and suburban. We all need places to live that won’t break our budgets while offering access to vital resources like healthy food, proximity to job centers, and quality transportation options.The trend lines are clear: housing prices are rising much faster than wages. The supply of housing isn’t keeping up with our fast-growing population, further boosting costs. More than one in three households in our region are “cost burdened” – that is, they spend more than 30% of their income on housing. A strategic, regional approach is needed to increase supply, reduce costs, and preserve affordable units. Our goal: promoting a stronger, healthier housing market that works for everyone.Download the Executive Summary

This dataset contains the quarterly house price index for the Atlanta Metropolitan Statistical Areas from 1991 to present. The HPI is determined by the Federal Housing Finance Agency (FHFA). According to the FHFA, the HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. In addition to the quarterly HPI, this dataset includes the quarter-to-quarter percent change and the quarterly year-over-year (YoY) percent change in the HPI.

Graph and download economic data for All-Transactions House Price Index for DeKalb County, GA (ATNHPIUS13089A) from 1975 to 2024 about De Kalb County, GA; Atlanta; GA; HPI; housing; price index; indexes; price; and USA.

United States Median Home Sale Price: Single Family: Atlanta, GA data was reported at 285.000 USD th in Jul 2020. This records an increase from the previous number of 275.000 USD th for Jun 2020. United States Median Home Sale Price: Single Family: Atlanta, GA data is updated monthly, averaging 211.000 USD th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 285.000 USD th in Jul 2020 and a record low of 90.000 USD th in Feb 2012. United States Median Home Sale Price: Single Family: Atlanta, GA data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB056: Median Home Sale Price: by Metropolitan Areas.

The US commercial real estate (CRE) market, valued at $1.66 trillion in 2025, is projected to experience steady growth, driven by robust economic activity and increasing demand across various sectors. A compound annual growth rate (CAGR) of 2.61% from 2025 to 2033 indicates a positive outlook, although this growth is expected to be moderated by factors like rising interest rates and potential economic slowdowns. Strong performance is anticipated in key sectors such as office, retail, and industrial spaces, particularly in major metropolitan areas like New York, Los Angeles, and Chicago. The multi-family sector, fueled by population growth and urbanization, is also poised for significant expansion. However, challenges remain, including supply chain disruptions impacting construction costs and the evolving nature of work impacting office demand. The logistics sector continues to be a significant driver of growth, fueled by e-commerce expansion and the need for efficient supply chains. Competition among established players like CBRE, Cushman & Wakefield, JLL, and numerous regional firms will likely remain fierce, necessitating strategic acquisitions, technological advancements, and innovative service offerings to secure market share. The regional distribution of the US CRE market reflects the concentration of economic activity and population density. The Northeast and West Coast regions are expected to continue to dominate, with New York, Los Angeles, and San Francisco being key contributors to overall market value. However, growth is also anticipated in secondary markets such as Denver, Austin, and Nashville, driven by factors like lower operating costs and population migration. The ongoing shift towards sustainable and technologically advanced buildings will likely influence investment decisions, as investors prioritize energy efficiency and environmental responsibility. The forecast period (2025-2033) will likely witness increased adoption of PropTech solutions aimed at improving efficiency and transparency within the industry, furthering shaping the competitive landscape and overall market dynamics. Recent developments include: In March 2022, Progressive Real Estate Partners, the leading retail real estate brokerage firm in the Inland Empire, announced the USD 8 million-worth sale of The Grove. This property is a Circle K anchored neighborhood center located in Orange St. in Redlands, CA. The 39,339-square-foot property is situated at the signalized intersection of Orange Street and San Bernardino Avenue, just minutes from the I-10 and I-210 freeways and the University of Redlands., In February 2022, Shannon Waltchack (SW) acquired a 23,150 sq. ft shopping center Gateway Plaza in Bloomingdale, IL - the sixth acquisition in SW's latest fund. The center is 100% occupied by a mix of medical, service, and food tenants, including Aspen Dental, LensCrafters, and McAlister's Deli.. Notable trends are: Industrial Sector Expected to Record High Demand.

The LTR Genie Score of Atlanta, GA is 63, indicating a high level of attractiveness for long-term rental investment. This is supported by the high LTR Rentability, LTR Rent Growth Rate, and LTR Net ROI metrics. On the other hand, the STR Genie Score of 35 suggests a lower level of attractiveness for short-term rental investment, as indicated by the lower STR Net ROI and occupancy rate. Comparing the LTR and STR Genie Scores, it is clear that Atlanta is more favorable for long-term rental investment based on the metrics provided. The 1-Year Price Appreciation Forecast of -0.7% also suggests that long-term rental investment may be a more stable option compared to short-term rentals in this market.Overall, Atlanta, GA presents a promising opportunity for real estate investors looking to invest in long-term rental properties. With a high LTR Genie Score and positive metrics for long-term rental investment, investors may find success in this market. However, it is recommended to carefully evaluate the specific neighborhoods and property types within Atlanta to maximize returns and mitigate risks.

Graph and download economic data for All-Transactions House Price Index for Forsyth County, GA (ATNHPIUS13117A) from 1985 to 2024 about Forsyth County, GA; Atlanta; GA; HPI; housing; price index; indexes; price; and USA.

The Report Covers US Commercial Real Estate Industry Trends & Statistics and it is Segmented by Type (Office, Retail, Industrial, Logistics, Hospitality, and Multi-family) and by key city (New York, Chicago, Los Angeles, San Francisco, Boston, Denver, Houston, Phoenix, Atlanta, and Salt Lake City). The market size and forecasts are provided in terms of value (USD billion) for all the above segments.

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.

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show comparison of housing ownership costs and rental costs to income by Strong, Prosperous, And Resilient Communities Challenge in the Atlanta region.

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 2013-2017). 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.

Naming conventions:

Prefixes:

None

Count

p

Percent

r

Rate

m

Median

a

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)

Suffixes:

None

Change over two periods

_e

Estimate from most recent ACS

_m

Margin of Error from most recent ACS

_00

Decennial 2000

Attributes:

SumLevel

Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

GEOID

Census tract Federal Information Processing Series (FIPS) code

NAME

Name of geographic unit

Planning_Region

Planning region designation for ARC purposes

Acres

Total area within the tract (in acres)

SqMi

Total area within the tract (in square miles)

County

County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

CountyName

County Name

HUM_SMOCAPI_e

# Housing units with a mortgage, costs as a percentage of income computed, 2017

HUM_SMOCAPI_m

# Housing units with a mortgage, costs as a percentage of income computed, 2017 (MOE)

MSMOCAPI30PctPlus_e

# Housing units with a mortgage, costs 30.0 percent of income or more, 2017

MSMOCAPI30PctPlus_m

# Housing units with a mortgage, costs 30.0 percent of income or more, 2017 (MOE)

pMSMOCAPI30PctPlus_e

% Housing units with a mortgage, costs 30.0 percent of income or more, 2017

pMSMOCAPI30PctPlus_m

% Housing units with a mortgage, costs 30.0 percent of income or more, 2017 (MOE)

HUNM_SMOCAPI_e

# Housing units without a mortgage, costs as a percentage of income computed, 2017

HUNM_SMOCAPI_m

# Housing units without a mortgage, costs as a percentage of income computed, 2017 (MOE)

NMSMOCAPI30PctPlus_e

# Housing units without a mortgage, costs 30.0 percent of income or more, 2017

NMSMOCAPI30PctPlus_m

# Housing units without a mortgage, costs 30.0 percent of income or more, 2017 (MOE)

pNMSMOCAPI30PctPlus_e

% Housing units without a mortgage, costs 30.0 percent of income or more, 2017

pNMSMOCAPI30PctPlus_m

% Housing units without a mortgage, costs 30.0 percent of income or more, 2017 (MOE)

OccGRAPI_e

# Occupied units for which rent as a percentage of income can be computed, 2017

OccGRAPI_m

# Occupied units for which rent as a percentage of income can be computed, 2017 (MOE)

GRAPI30PctPlus_e

# Gross rent 30.0 percent of income or greater, 2017

GRAPI30PctPlus_m

# Gross rent 30.0 percent of income or greater, 2017 (MOE)

pGRAPI30PctPlus_e

% Gross rent 30.0 percent of income or greater, 2017

pGRAPI30PctPlus_m

% Gross rent 30.0 percent of income or greater, 2017 (MOE)

HousingCost30PctPlus_e

# All occupied units for which costs exceed 30 percent of income, 2017

HousingCost30PctPlus_m

# All occupied units for which costs exceed 30 percent of income, 2017 (MOE)

PayingForHousing_e

# Total households paying for housing (rent or owner costs), 2017

PayingForHousing_m

# Total households paying for housing (rent or owner costs), 2017 (MOE)

pHousingCost30PctPlus_e

% Occupied units for which costs exceed 30 percent of income, 2017

pHousingCost30PctPlus_m

% Occupied units for which costs exceed 30 percent of income, 2017 (MOE)

last_edited_date

Last date the feature was edited by ARC

Source: U.S. Census Bureau, Atlanta Regional Commission

Date: 2013-2017

For additional information, please visit the Census ACS website.