{"id":79330,"date":"2025-02-20T05:30:39","date_gmt":"2025-02-20T13:30:39","guid":{"rendered":"https:\/\/www.redfin.com\/news\/?p=79330"},"modified":"2025-02-20T14:15:38","modified_gmt":"2025-02-20T22:15:38","slug":"housing-market-value-december-2024","status":"publish","type":"post","link":"https:\/\/www.redfin.com\/news\/housing-market-value-december-2024\/","title":{"rendered":"U.S. Housing Market Gained $2.5 Trillion in Value in 2024"},"content":{"rendered":"<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><i><span style=\"font-weight: 400;\">The combined value of U.S. homes climbed to $49.7 trillion in 2024.<\/span><\/i><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><i><span style=\"font-weight: 400;\">The total value of homes owned by millennials grew to nearly $10 trillion, representing more than 20% of the U.S. market.<\/span><\/i><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><i><span style=\"font-weight: 400;\">Two upstate New York metros\u2014Albany and Rochester\u2014had the fastest growth in aggregate home value, while Florida metros grew more slowly.<\/span><\/i><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><i><span style=\"font-weight: 400;\">San Diego and Seattle look set to join eight other metros with homes worth $1 trillion in 2025.<\/span><\/i><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The combined value of U.S. homes gained $2.5 trillion in 2024 to reach $49.7 trillion.<\/span><\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-79331\" src=\"https:\/\/www.redfin.com\/news\/wp-content\/uploads\/2025\/02\/Aggregate-Value-2.png\" alt=\"\" width=\"900\" height=\"700\" srcset=\"https:\/\/www.redfin.com\/news\/wp-content\/uploads\/2025\/02\/Aggregate-Value-2.png 900w, https:\/\/www.redfin.com\/news\/wp-content\/uploads\/2025\/02\/Aggregate-Value-2-300x233.png 300w, https:\/\/www.redfin.com\/news\/wp-content\/uploads\/2025\/02\/Aggregate-Value-2-768x597.png 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">This is according to an analysis of the <\/span><a href=\"https:\/\/www.redfin.com\/redfin-estimate\"><span style=\"font-weight: 400;\">Redfin Estimate<\/span><\/a><span style=\"font-weight: 400;\"> for more than 98 million U.S. residential properties as of December 31, 2024. This data is subject to revision.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In percentage terms, the total value of the U.S. housing market grew 5.2% year over year. That was the slowest growth in a calendar year since 2019 and the second-slowest since 2011.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cThere are <\/span><a href=\"https:\/\/www.redfin.com\/news\/home-sales-fall-supply-rises\/\"><span style=\"font-weight: 400;\">more homes<\/span><\/a><span style=\"font-weight: 400;\"> for sale right now than in recent years and that has led to <\/span><a href=\"https:\/\/www.redfin.com\/news\/buyers-market-february-2025\"><span style=\"font-weight: 400;\">buyer\u2019s markets <\/span><\/a><span style=\"font-weight: 400;\">in many areas of the country. That\u2019s good news, but it doesn\u2019t mean homes are getting cheaper\u2014prices continue to <\/span><a href=\"https:\/\/www.redfin.com\/news\/home-price-index-january-2025\/\"><span style=\"font-weight: 400;\">tick up<\/span><\/a><span style=\"font-weight: 400;\"> each month,\u201d said Redfin Economics Research Lead <\/span><a href=\"https:\/\/www.redfin.com\/news\/author\/chen-zhao\/\"><span style=\"font-weight: 400;\">Chen Zhao<\/span><\/a><span style=\"font-weight: 400;\">. \u201cWe expect prices\u2014and therefore home values\u2014to <\/span><a href=\"https:\/\/www.redfin.com\/news\/housing-market-predictions-2025\/\"><span style=\"font-weight: 400;\">keep rising<\/span><\/a><span style=\"font-weight: 400;\"> steadily this year because there are still enough buyers competing over a relatively small number of listings, compared to before the pandemic.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Still, the total value of the U.S. homes has more than doubled over the past decade, from $23 trillion in 2014.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The combined value of U.S. homes peaked at $50.4 trillion in July. The drop to $49.7 trillion is reflective of seasonal sales trends, with overall home values rising during the peak buying seasons between March and September and falling during the winter months when fewer properties are sold.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It\u2019s worth noting that new construction also helps underpin the overall increase in market valuation. This analysis examined the Redfin Estimate for 98.91 million homes, compared to 98.03 million homes a year earlier.<\/span><\/p>\n<h2><b>Major metros in upstate New York gained the most value in 2024<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Major metros in the Northeast gained the most value in percentage terms in 2024, led by Albany and Rochester in upstate New York. Albany\u2019s aggregate home value rose 11.3% to pass the $100 billion mark ($110.7 billion), while Rochester\u2019s total value increased 11.2% to $124.3 billion.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The rising value can be attributed to a shortage of homes for sale in the region, which is driving prices up. Out of all major U.S. metros, Rochester has the <\/span><a href=\"https:\/\/www.redfin.com\/news\/buyers-market-february-2025\"><span style=\"font-weight: 400;\">lowest<\/span><\/a><span style=\"font-weight: 400;\"> number of months of for-sale supply, while Albany has the eighth lowest.<\/span><\/p>\n<p><iframe id=\"datawrapper-chart-1nPZy\" style=\"width: 0; min-width: 100% !important; border: none;\" title=\"Metros With Fastest Growing Total Home Value (2024)\" src=\"https:\/\/datawrapper.dwcdn.net\/1nPZy\/2\/\" height=\"515\" frameborder=\"0\" scrolling=\"no\" aria-label=\"Table\" data-external=\"1\"><\/iframe><script type=\"text\/javascript\">!function(){\"use strict\";window.addEventListener(\"message\",(function(a){if(void 0!==a.data[\"datawrapper-height\"]){var e=document.querySelectorAll(\"iframe\");for(var t in a.data[\"datawrapper-height\"])for(var r=0;r<e.length;r++)if(e[r].contentWindow===a.source){var i=a.data[\"datawrapper-height\"][t]+\"px\";e[r].style.height=i}}}))}();\n<\/script><\/p>\n<p><span style=\"font-weight: 400;\">The value of properties in Newark, NJ rose 11.1% to $410.8 billion, while another upstate New York metro Buffalo climbed 11% to $107.8 billion. Hartford, CT (up 10.6% to $140 billion) rounded out the five metros with the highest gains.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Redfin examined the 100 most-populous metro areas and included the 95 that had sufficient data.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Only three metros recorded a fall in total home value, led by Cape Coral, FL, which dropped 2.9% to $199.5 billion. Next came North Port, FL (-1.1% to $247 billion) and Honolulu (-0.4% to $279.8 billion). West Palm Beach, FL (+0.3% to $471.7 billion) and Tampa, FL (+0.8% to $537.1 billion) rounded out the five major metros with the slowest growth.<\/span><\/p>\n<p><iframe id=\"datawrapper-chart-mRz5W\" style=\"width: 0; min-width: 100% !important; border: none;\" title=\"Metros With Slowest Growing Total Home Value (2024)\" src=\"https:\/\/datawrapper.dwcdn.net\/mRz5W\/2\/\" height=\"515\" frameborder=\"0\" scrolling=\"no\" aria-label=\"Table\" data-external=\"1\"><\/iframe><script type=\"text\/javascript\">!function(){\"use strict\";window.addEventListener(\"message\",(function(a){if(void 0!==a.data[\"datawrapper-height\"]){var e=document.querySelectorAll(\"iframe\");for(var t in a.data[\"datawrapper-height\"])for(var r=0;r<e.length;r++)if(e[r].contentWindow===a.source){var i=a.data[\"datawrapper-height\"][t]+\"px\";e[r].style.height=i}}}))}();\n<\/script><\/p>\n<p><span style=\"font-weight: 400;\">Florida\u2019s housing market faced multiple headwinds in 2024. The pandemic-driven construction boom increased housing supply, right as buyer demand slowed due to the relative lack of affordability compared to just a few years ago. On top of those impacts, natural disasters\u2014including major <\/span><a href=\"https:\/\/www.redfin.com\/news\/florida-home-sales-fall-2024\/\"><span style=\"font-weight: 400;\">hurricanes<\/span><\/a><span style=\"font-weight: 400;\"> in October\u2014have led to higher insurance costs and increased climate-related concerns for buyers.<\/span><\/p>\n<h2><b>San Diego and Seattle knock on door of trillion-dollar club<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">There are eight U.S. metros where the total value of homes tops $1 trillion, led by New York, which saw values rise 9.4% to $2.43 trillion in 2024.\u00a0<\/span><\/p>\n<p><iframe id=\"datawrapper-chart-TMAMa\" style=\"width: 0; min-width: 100% !important; border: none;\" title=\"Trillion-Dollar Club: Top 10 Metros By Aggregate Home Value (2024)\" src=\"https:\/\/datawrapper.dwcdn.net\/TMAMa\/3\/\" height=\"548\" frameborder=\"0\" scrolling=\"no\" aria-label=\"Table\" data-external=\"1\"><\/iframe><script type=\"text\/javascript\">!function(){\"use strict\";window.addEventListener(\"message\",(function(a){if(void 0!==a.data[\"datawrapper-height\"]){var e=document.querySelectorAll(\"iframe\");for(var t in a.data[\"datawrapper-height\"])for(var r=0;r<e.length;r++)if(e[r].contentWindow===a.source){var i=a.data[\"datawrapper-height\"][t]+\"px\";e[r].style.height=i}}}))}();\n<\/script><\/p>\n<p><span style=\"font-weight: 400;\">San Diego and Seattle continue to knock on the door of the trillion-dollar club and look set to join the list in 2025, if home values keep increasing at a similar rate.<\/span><\/p>\n<h2><b>Millennials now own more than 20% of the U.S. home market<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Millennials now own more than 20% of the U.S. home market, with their generation\u2019s total home value rising 18.8% year over year to $9.7 trillion in the third quarter of 2024\u2014the most recent period for which generational data is available. (Note: the Federal Reserve <\/span><a href=\"https:\/\/www.federalreserve.gov\/releases\/z1\/dataviz\/dfa\/distribute\/chart\/#quarter:140;series:Real%20estate;demographic:generation;population:all;units:levels\"><span style=\"font-weight: 400;\">defines<\/span><\/a><span style=\"font-weight: 400;\"> anyone born in 1981 or later as Millennials.)<\/span><\/p>\n<p><iframe id=\"datawrapper-chart-lKADe\" style=\"width: 0; min-width: 100% !important; border: none;\" title=\"Millennials Now Own More Than 20% of the U.S. Home Market\" src=\"https:\/\/datawrapper.dwcdn.net\/lKADe\/1\/\" height=\"442\" frameborder=\"0\" scrolling=\"no\" aria-label=\"Interactive area chart\" data-external=\"1\"><\/iframe><script type=\"text\/javascript\">!function(){\"use strict\";window.addEventListener(\"message\",(function(a){if(void 0!==a.data[\"datawrapper-height\"]){var e=document.querySelectorAll(\"iframe\");for(var t in a.data[\"datawrapper-height\"])for(var r=0;r<e.length;r++)if(e[r].contentWindow===a.source){var i=a.data[\"datawrapper-height\"][t]+\"px\";e[r].style.height=i}}}))}();\n<\/script><\/p>\n<p><span style=\"font-weight: 400;\">The growth for millennials is due to a number of factors, including being the largest generation by population and having reached an age and financial position where they make up the largest share of the homebuying market.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The millennial generation\u2019s growth is nearly four times faster than that of baby boomers, who saw their total home value grow 5.2% to $19.8 trillion. Boomers still own 41.1% of the total U.S. market, the largest share of any generation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The value of homes owned by Gen X increased 4.6% to $14.1 trillion, while the Silent Generation home values fell 3.7% to $4.6 trillion.<\/span><\/p>\n<h2><b>Growth of rural home values outpaces suburban and urban homes for seventh consecutive year<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Rural home values outpaced those in urban areas and the suburbs for the seventh consecutive year, jumping 6.4% year over year to $8.1 trillion. The total value of homes in urban areas rose 4.9% to $10.6 trillion, while the value of homes in the suburbs increased 5.1% to $30.8 trillion.<\/span><\/p>\n<p><iframe id=\"datawrapper-chart-dI2iy\" style=\"width: 0; min-width: 100% !important; border: none;\" title=\"Value of U.S. Real Estate By Urban Area Type\" src=\"https:\/\/datawrapper.dwcdn.net\/dI2iy\/1\/\" height=\"396\" frameborder=\"0\" scrolling=\"no\" aria-label=\"Interactive line chart\" data-external=\"1\"><\/iframe><script type=\"text\/javascript\">!function(){\"use strict\";window.addEventListener(\"message\",(function(a){if(void 0!==a.data[\"datawrapper-height\"]){var e=document.querySelectorAll(\"iframe\");for(var t in a.data[\"datawrapper-height\"])for(var r=0;r<e.length;r++)if(e[r].contentWindow===a.source){var i=a.data[\"datawrapper-height\"][t]+\"px\";e[r].style.height=i}}}))}();\n<\/script><\/p>\n<p><span style=\"font-weight: 400;\">There are around 59 million homes in the suburbs, compared to 23 million in urban areas and 22 million in rural areas.<\/span><\/p>\n<h2><b>Metro-Level Home Value Summary: December 2024<\/b><\/h2>\n<p><i><span style=\"font-weight: 400;\">The table below comes from a list of the 100 most populous metro areas, five of which were excluded due to insufficient data<\/span><\/i><i><span style=\"font-weight: 400;\">.<\/span><\/i><\/p>\n\n<table id=\"tablepress-435\" class=\"tablepress tablepress-id-435\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\"><strong>U.S. metro area<\/strong><\/th><th class=\"column-2\"><strong>Total value of homes<\/strong><\/th><th class=\"column-3\"><strong>Total value of homes, YoY change (%)<\/strong><\/th><th class=\"column-4\"><strong>Total value of homes, YoY change ($)<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">Akron, OH<\/td><td class=\"column-2\"> $ 72,128,474,756 <\/td><td class=\"column-3\">8.00%<\/td><td class=\"column-4\"> $ 5,355,734,481 <\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">Albany, NY<\/td><td class=\"column-2\"> $ 110,590,278,654 <\/td><td class=\"column-3\">11.30%<\/td><td class=\"column-4\"> $ 11,213,529,260 <\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">Allentown, PA<\/td><td class=\"column-2\"> $ 111,055,303,798 <\/td><td class=\"column-3\">9.30%<\/td><td class=\"column-4\"> $ 9,453,928,351 <\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">Anaheim, CA<\/td><td class=\"column-2\"> $ 1,128,528,614,433 <\/td><td class=\"column-3\">7.80%<\/td><td class=\"column-4\"> $ 81,459,932,337 <\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">Atlanta, GA<\/td><td class=\"column-2\"> $ 1,286,012,769,494 <\/td><td class=\"column-3\">3.30%<\/td><td class=\"column-4\"> $ 40,837,449,529 <\/td>\n<\/tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\">Austin, TX<\/td><td class=\"column-2\"> $ 398,274,085,646 <\/td><td class=\"column-3\">2.80%<\/td><td class=\"column-4\"> $ 10,761,489,542 <\/td>\n<\/tr>\n<tr class=\"row-8\">\n\t<td class=\"column-1\">Bakersfield, CA<\/td><td class=\"column-2\"> $ 87,690,840,034 <\/td><td class=\"column-3\">3.50%<\/td><td class=\"column-4\"> $ 2,984,154,690 <\/td>\n<\/tr>\n<tr class=\"row-9\">\n\t<td class=\"column-1\">Baltimore, MD<\/td><td class=\"column-2\"> $ 426,066,850,073 <\/td><td class=\"column-3\">4.30%<\/td><td class=\"column-4\"> $ 17,718,709,766 <\/td>\n<\/tr>\n<tr class=\"row-10\">\n\t<td class=\"column-1\">Baton Rouge, LA<\/td><td class=\"column-2\"> $ 78,028,866,500 <\/td><td class=\"column-3\">6.60%<\/td><td class=\"column-4\"> $ 4,813,351,384 <\/td>\n<\/tr>\n<tr class=\"row-11\">\n\t<td class=\"column-1\">Birmingham, AL<\/td><td class=\"column-2\"> $ 115,948,726,166 <\/td><td class=\"column-3\">4.20%<\/td><td class=\"column-4\"> $ 4,658,650,630 <\/td>\n<\/tr>\n<tr class=\"row-12\">\n\t<td class=\"column-1\">Boise City, ID<\/td><td class=\"column-2\"> $ 129,400,420,258 <\/td><td class=\"column-3\">5.50%<\/td><td class=\"column-4\"> $ 6,705,351,546 <\/td>\n<\/tr>\n<tr class=\"row-13\">\n\t<td class=\"column-1\">Boston, MA<\/td><td class=\"column-2\"> $ 1,282,533,441,634 <\/td><td class=\"column-3\">5.00%<\/td><td class=\"column-4\"> $ 61,441,677,456 <\/td>\n<\/tr>\n<tr class=\"row-14\">\n\t<td class=\"column-1\">Bridgeport, CT<\/td><td class=\"column-2\"> $ 224,607,277,413 <\/td><td class=\"column-3\">7.80%<\/td><td class=\"column-4\"> $ 16,168,559,456 <\/td>\n<\/tr>\n<tr class=\"row-15\">\n\t<td class=\"column-1\">Buffalo, NY<\/td><td class=\"column-2\"> $ 107,787,802,139 <\/td><td class=\"column-3\">11.00%<\/td><td class=\"column-4\"> $ 10,647,528,048 <\/td>\n<\/tr>\n<tr class=\"row-16\">\n\t<td class=\"column-1\">Camden, NJ<\/td><td class=\"column-2\"> $ 164,079,948,044 <\/td><td class=\"column-3\">8.90%<\/td><td class=\"column-4\"> $ 13,435,846,345 <\/td>\n<\/tr>\n<tr class=\"row-17\">\n\t<td class=\"column-1\">Cape Coral, FL<\/td><td class=\"column-2\"> $ 199,485,736,113 <\/td><td class=\"column-3\">-2.90%<\/td><td class=\"column-4\"> $ (5,882,226,048)<\/td>\n<\/tr>\n<tr class=\"row-18\">\n\t<td class=\"column-1\">Charleston, SC<\/td><td class=\"column-2\"> $ 195,082,343,335 <\/td><td class=\"column-3\">7.40%<\/td><td class=\"column-4\"> $ 13,507,808,661 <\/td>\n<\/tr>\n<tr class=\"row-19\">\n\t<td class=\"column-1\">Charlotte, NC<\/td><td class=\"column-2\"> $ 489,622,385,659 <\/td><td class=\"column-3\">5.40%<\/td><td class=\"column-4\"> $ 24,971,921,354 <\/td>\n<\/tr>\n<tr class=\"row-20\">\n\t<td class=\"column-1\">Chicago, IL<\/td><td class=\"column-2\"> $ 1,071,201,960,493 <\/td><td class=\"column-3\">7.60%<\/td><td class=\"column-4\"> $ 75,859,816,293 <\/td>\n<\/tr>\n<tr class=\"row-21\">\n\t<td class=\"column-1\">Cincinnati, OH<\/td><td class=\"column-2\"> $ 250,237,699,830 <\/td><td class=\"column-3\">7.90%<\/td><td class=\"column-4\"> $ 18,312,268,699 <\/td>\n<\/tr>\n<tr class=\"row-22\">\n\t<td class=\"column-1\">Cleveland, OH<\/td><td class=\"column-2\"> $ 212,660,407,904 <\/td><td class=\"column-3\">8.00%<\/td><td class=\"column-4\"> $ 15,745,003,089 <\/td>\n<\/tr>\n<tr class=\"row-23\">\n\t<td class=\"column-1\">Colorado Springs, CO<\/td><td class=\"column-2\"> $ 118,124,413,320 <\/td><td class=\"column-3\">3.30%<\/td><td class=\"column-4\"> $ 3,730,390,445 <\/td>\n<\/tr>\n<tr class=\"row-24\">\n\t<td class=\"column-1\">Columbia, SC<\/td><td class=\"column-2\"> $ 83,045,295,599 <\/td><td class=\"column-3\">5.40%<\/td><td class=\"column-4\"> $ 4,232,434,245 <\/td>\n<\/tr>\n<tr class=\"row-25\">\n\t<td class=\"column-1\">Columbus, OH<\/td><td class=\"column-2\"> $ 272,777,872,579 <\/td><td class=\"column-3\">8.50%<\/td><td class=\"column-4\"> $ 21,451,329,718 <\/td>\n<\/tr>\n<tr class=\"row-26\">\n\t<td class=\"column-1\">Dallas, TX<\/td><td class=\"column-2\"> $ 746,510,157,173 <\/td><td class=\"column-3\">2.90%<\/td><td class=\"column-4\"> $ 21,352,595,658 <\/td>\n<\/tr>\n<tr class=\"row-27\">\n\t<td class=\"column-1\">Dayton, OH<\/td><td class=\"column-2\"> $ 64,648,119,368 <\/td><td class=\"column-3\">8.60%<\/td><td class=\"column-4\"> $ 5,136,762,743 <\/td>\n<\/tr>\n<tr class=\"row-28\">\n\t<td class=\"column-1\">Denver, CO<\/td><td class=\"column-2\"> $ 682,320,178,276 <\/td><td class=\"column-3\">2.60%<\/td><td class=\"column-4\"> $ 17,345,958,239 <\/td>\n<\/tr>\n<tr class=\"row-29\">\n\t<td class=\"column-1\">Des Moines, IA<\/td><td class=\"column-2\"> $ 65,884,842,170 <\/td><td class=\"column-3\">7.60%<\/td><td class=\"column-4\"> $ 4,653,842,767 <\/td>\n<\/tr>\n<tr class=\"row-30\">\n\t<td class=\"column-1\">Detroit, MI<\/td><td class=\"column-2\"> $ 150,236,261,683 <\/td><td class=\"column-3\">7.20%<\/td><td class=\"column-4\"> $ 10,116,222,331 <\/td>\n<\/tr>\n<tr class=\"row-31\">\n\t<td class=\"column-1\">El Paso, TX<\/td><td class=\"column-2\"> $ 59,515,081,077 <\/td><td class=\"column-3\">2.10%<\/td><td class=\"column-4\"> $ 1,236,747,003 <\/td>\n<\/tr>\n<tr class=\"row-32\">\n\t<td class=\"column-1\">Elgin, IL<\/td><td class=\"column-2\"> $ 86,351,553,525 <\/td><td class=\"column-3\">9.40%<\/td><td class=\"column-4\"> $ 7,430,008,677 <\/td>\n<\/tr>\n<tr class=\"row-33\">\n\t<td class=\"column-1\">Fort Lauderdale, FL<\/td><td class=\"column-2\"> $ 394,606,156,983 <\/td><td class=\"column-3\">1.80%<\/td><td class=\"column-4\"> $ 6,954,993,217 <\/td>\n<\/tr>\n<tr class=\"row-34\">\n\t<td class=\"column-1\">Fort Worth, TX<\/td><td class=\"column-2\"> $ 299,289,931,274 <\/td><td class=\"column-3\">2.40%<\/td><td class=\"column-4\"> $ 6,895,112,341 <\/td>\n<\/tr>\n<tr class=\"row-35\">\n\t<td class=\"column-1\">Frederick, MD<\/td><td class=\"column-2\"> $ 301,120,787,066 <\/td><td class=\"column-3\">7.30%<\/td><td class=\"column-4\"> $ 20,509,996,324 <\/td>\n<\/tr>\n<tr class=\"row-36\">\n\t<td class=\"column-1\">Fresno, CA<\/td><td class=\"column-2\"> $ 104,858,662,236 <\/td><td class=\"column-3\">4.70%<\/td><td class=\"column-4\"> $ 4,716,253,540 <\/td>\n<\/tr>\n<tr class=\"row-37\">\n\t<td class=\"column-1\">Grand Rapids, MI<\/td><td class=\"column-2\"> $ 145,515,725,532 <\/td><td class=\"column-3\">8.30%<\/td><td class=\"column-4\"> $ 11,116,954,481 <\/td>\n<\/tr>\n<tr class=\"row-38\">\n\t<td class=\"column-1\">Greensboro, NC<\/td><td class=\"column-2\"> $ 72,023,667,024 <\/td><td class=\"column-3\">5.20%<\/td><td class=\"column-4\"> $ 3,572,658,169 <\/td>\n<\/tr>\n<tr class=\"row-39\">\n\t<td class=\"column-1\">Greenville, SC<\/td><td class=\"column-2\"> $ 116,537,349,948 <\/td><td class=\"column-3\">4.70%<\/td><td class=\"column-4\"> $ 5,190,254,876 <\/td>\n<\/tr>\n<tr class=\"row-40\">\n\t<td class=\"column-1\">Hartford, CT<\/td><td class=\"column-2\"> $ 140,042,991,414 <\/td><td class=\"column-3\">10.60%<\/td><td class=\"column-4\"> $ 13,434,469,527 <\/td>\n<\/tr>\n<tr class=\"row-41\">\n\t<td class=\"column-1\">Honolulu, HI<\/td><td class=\"column-2\"> $ 279,754,294,552 <\/td><td class=\"column-3\">-0.40%<\/td><td class=\"column-4\"> $ (1,168,201,027)<\/td>\n<\/tr>\n<tr class=\"row-42\">\n\t<td class=\"column-1\">Houston, TX<\/td><td class=\"column-2\"> $ 801,227,007,404 <\/td><td class=\"column-3\">2.20%<\/td><td class=\"column-4\"> $ 16,973,982,847 <\/td>\n<\/tr>\n<tr class=\"row-43\">\n\t<td class=\"column-1\">Jacksonville, FL<\/td><td class=\"column-2\"> $ 260,126,729,576 <\/td><td class=\"column-3\">2.40%<\/td><td class=\"column-4\"> $ 6,038,537,546 <\/td>\n<\/tr>\n<tr class=\"row-44\">\n\t<td class=\"column-1\">Kansas City, MO<\/td><td class=\"column-2\"> $ 127,434,005,156 <\/td><td class=\"column-3\">5.40%<\/td><td class=\"column-4\"> $ 6,537,435,069 <\/td>\n<\/tr>\n<tr class=\"row-45\">\n\t<td class=\"column-1\">Knoxville, TN<\/td><td class=\"column-2\"> $ 133,101,833,371 <\/td><td class=\"column-3\">7.00%<\/td><td class=\"column-4\"> $ 8,719,742,787 <\/td>\n<\/tr>\n<tr class=\"row-46\">\n\t<td class=\"column-1\">Lake County, IL<\/td><td class=\"column-2\"> $ 132,811,140,660 <\/td><td class=\"column-3\">8.30%<\/td><td class=\"column-4\"> $ 10,213,466,047 <\/td>\n<\/tr>\n<tr class=\"row-47\">\n\t<td class=\"column-1\">Lakeland, FL<\/td><td class=\"column-2\"> $ 84,444,924,968 <\/td><td class=\"column-3\">2.30%<\/td><td class=\"column-4\"> $ 1,879,321,365 <\/td>\n<\/tr>\n<tr class=\"row-48\">\n\t<td class=\"column-1\">Las Vegas, NV<\/td><td class=\"column-2\"> $ 433,715,991,076 <\/td><td class=\"column-3\">7.20%<\/td><td class=\"column-4\"> $ 29,087,782,866 <\/td>\n<\/tr>\n<tr class=\"row-49\">\n\t<td class=\"column-1\">Little Rock, AR<\/td><td class=\"column-2\"> $ 66,666,064,419 <\/td><td class=\"column-3\">9.00%<\/td><td class=\"column-4\"> $ 5,492,164,719 <\/td>\n<\/tr>\n<tr class=\"row-50\">\n\t<td class=\"column-1\">Los Angeles, CA<\/td><td class=\"column-2\"> $ 2,176,922,728,723 <\/td><td class=\"column-3\">2.10%<\/td><td class=\"column-4\"> $ 45,440,430,438 <\/td>\n<\/tr>\n<tr class=\"row-51\">\n\t<td class=\"column-1\">Louisville, KY<\/td><td class=\"column-2\"> $ 98,458,077,891 <\/td><td class=\"column-3\">9.20%<\/td><td class=\"column-4\"> $ 8,318,092,295 <\/td>\n<\/tr>\n<tr class=\"row-52\">\n\t<td class=\"column-1\">McAllen, TX<\/td><td class=\"column-2\"> $ 46,416,461,630 <\/td><td class=\"column-3\">2.70%<\/td><td class=\"column-4\"> $ 1,241,335,891 <\/td>\n<\/tr>\n<tr class=\"row-53\">\n\t<td class=\"column-1\">Memphis, TN<\/td><td class=\"column-2\"> $ 96,324,709,097 <\/td><td class=\"column-3\">5.60%<\/td><td class=\"column-4\"> $ 5,125,233,344 <\/td>\n<\/tr>\n<tr class=\"row-54\">\n\t<td class=\"column-1\">Miami, FL<\/td><td class=\"column-2\"> $ 587,327,597,535 <\/td><td class=\"column-3\">6.80%<\/td><td class=\"column-4\"> $ 37,617,307,680 <\/td>\n<\/tr>\n<tr class=\"row-55\">\n\t<td class=\"column-1\">Milwaukee, WI<\/td><td class=\"column-2\"> $ 183,724,093,624 <\/td><td class=\"column-3\">9.10%<\/td><td class=\"column-4\"> $ 15,391,682,050 <\/td>\n<\/tr>\n<tr class=\"row-56\">\n\t<td class=\"column-1\">Minneapolis, MN<\/td><td class=\"column-2\"> $ 549,401,556,026 <\/td><td class=\"column-3\">3.40%<\/td><td class=\"column-4\"> $ 17,841,454,055 <\/td>\n<\/tr>\n<tr class=\"row-57\">\n\t<td class=\"column-1\">Montgomery County, PA<\/td><td class=\"column-2\"> $ 371,821,663,186 <\/td><td class=\"column-3\">6.50%<\/td><td class=\"column-4\"> $ 22,712,529,386 <\/td>\n<\/tr>\n<tr class=\"row-58\">\n\t<td class=\"column-1\">Nashville, TN<\/td><td class=\"column-2\"> $ 384,210,496,588 <\/td><td class=\"column-3\">5.70%<\/td><td class=\"column-4\"> $ 20,767,612,222 <\/td>\n<\/tr>\n<tr class=\"row-59\">\n\t<td class=\"column-1\">Nassau County, NY<\/td><td class=\"column-2\"> $ 793,610,274,756 <\/td><td class=\"column-3\">8.90%<\/td><td class=\"column-4\"> $ 64,580,855,370 <\/td>\n<\/tr>\n<tr class=\"row-60\">\n\t<td class=\"column-1\">New Brunswick, NJ<\/td><td class=\"column-2\"> $ 619,607,416,751 <\/td><td class=\"column-3\">10.30%<\/td><td class=\"column-4\"> $ 57,803,484,671 <\/td>\n<\/tr>\n<tr class=\"row-61\">\n\t<td class=\"column-1\">New Haven, CT<\/td><td class=\"column-2\"> $ 91,741,852,804 <\/td><td class=\"column-3\">9.40%<\/td><td class=\"column-4\"> $ 7,865,504,589 <\/td>\n<\/tr>\n<tr class=\"row-62\">\n\t<td class=\"column-1\">New Orleans, LA<\/td><td class=\"column-2\"> $ 129,095,796,228 <\/td><td class=\"column-3\">4.20%<\/td><td class=\"column-4\"> $ 5,185,937,630 <\/td>\n<\/tr>\n<tr class=\"row-63\">\n\t<td class=\"column-1\">New York, NY<\/td><td class=\"column-2\"> $ 2,425,739,855,238 <\/td><td class=\"column-3\">9.40%<\/td><td class=\"column-4\"> $ 207,902,385,088 <\/td>\n<\/tr>\n<tr class=\"row-64\">\n\t<td class=\"column-1\">Newark, NJ<\/td><td class=\"column-2\"> $ 410,849,778,351 <\/td><td class=\"column-3\">11.10%<\/td><td class=\"column-4\"> $ 41,194,352,143 <\/td>\n<\/tr>\n<tr class=\"row-65\">\n\t<td class=\"column-1\">North Port, FL<\/td><td class=\"column-2\"> $ 246,985,967,566 <\/td><td class=\"column-3\">-1.10%<\/td><td class=\"column-4\"> $ (2,717,384,971)<\/td>\n<\/tr>\n<tr class=\"row-66\">\n\t<td class=\"column-1\">Oakland, CA<\/td><td class=\"column-2\"> $ 893,757,920,936 <\/td><td class=\"column-3\">1.80%<\/td><td class=\"column-4\"> $ 16,125,339,467 <\/td>\n<\/tr>\n<tr class=\"row-67\">\n\t<td class=\"column-1\">Oklahoma City, OK<\/td><td class=\"column-2\"> $ 149,284,333,983 <\/td><td class=\"column-3\">6.00%<\/td><td class=\"column-4\"> $ 8,437,099,659 <\/td>\n<\/tr>\n<tr class=\"row-68\">\n\t<td class=\"column-1\">Orlando, FL<\/td><td class=\"column-2\"> $ 444,805,542,784 <\/td><td class=\"column-3\">2.60%<\/td><td class=\"column-4\"> $ 11,245,324,080 <\/td>\n<\/tr>\n<tr class=\"row-69\">\n\t<td class=\"column-1\">Oxnard, CA<\/td><td class=\"column-2\"> $ 213,532,291,926 <\/td><td class=\"column-3\">2.80%<\/td><td class=\"column-4\"> $ 5,874,212,569 <\/td>\n<\/tr>\n<tr class=\"row-70\">\n\t<td class=\"column-1\">Philadelphia, PA<\/td><td class=\"column-2\"> $ 239,073,152,556 <\/td><td class=\"column-3\">9.30%<\/td><td class=\"column-4\"> $ 20,434,026,853 <\/td>\n<\/tr>\n<tr class=\"row-71\">\n\t<td class=\"column-1\">Phoenix, AZ<\/td><td class=\"column-2\"> $ 1,050,150,002,918 <\/td><td class=\"column-3\">2.60%<\/td><td class=\"column-4\"> $ 27,079,333,693 <\/td>\n<\/tr>\n<tr class=\"row-72\">\n\t<td class=\"column-1\">Pittsburgh, PA<\/td><td class=\"column-2\"> $ 218,319,787,046 <\/td><td class=\"column-3\">8.90%<\/td><td class=\"column-4\"> $ 17,774,540,388 <\/td>\n<\/tr>\n<tr class=\"row-73\">\n\t<td class=\"column-1\">Portland, OR<\/td><td class=\"column-2\"> $ 484,199,672,774 <\/td><td class=\"column-3\">2.70%<\/td><td class=\"column-4\"> $ 12,516,056,698 <\/td>\n<\/tr>\n<tr class=\"row-74\">\n\t<td class=\"column-1\">Providence, RI<\/td><td class=\"column-2\"> $ 99,355,963,176 <\/td><td class=\"column-3\">7.10%<\/td><td class=\"column-4\"> $ 6,577,054,666 <\/td>\n<\/tr>\n<tr class=\"row-75\">\n\t<td class=\"column-1\">Raleigh, NC<\/td><td class=\"column-2\"> $ 269,952,695,607 <\/td><td class=\"column-3\">5.00%<\/td><td class=\"column-4\"> $ 12,746,320,776 <\/td>\n<\/tr>\n<tr class=\"row-76\">\n\t<td class=\"column-1\">Richmond, VA<\/td><td class=\"column-2\"> $ 226,057,461,490 <\/td><td class=\"column-3\">7.70%<\/td><td class=\"column-4\"> $ 16,065,227,146 <\/td>\n<\/tr>\n<tr class=\"row-77\">\n\t<td class=\"column-1\">Riverside, CA<\/td><td class=\"column-2\"> $ 803,430,835,606 <\/td><td class=\"column-3\">5.30%<\/td><td class=\"column-4\"> $ 40,745,682,666 <\/td>\n<\/tr>\n<tr class=\"row-78\">\n\t<td class=\"column-1\">Rochester, NY<\/td><td class=\"column-2\"> $ 124,306,345,033 <\/td><td class=\"column-3\">11.20%<\/td><td class=\"column-4\"> $ 12,552,114,927 <\/td>\n<\/tr>\n<tr class=\"row-79\">\n\t<td class=\"column-1\">Sacramento, CA<\/td><td class=\"column-2\"> $ 460,774,069,753 <\/td><td class=\"column-3\">3.60%<\/td><td class=\"column-4\"> $ 16,103,235,876 <\/td>\n<\/tr>\n<tr class=\"row-80\">\n\t<td class=\"column-1\">San Antonio, TX<\/td><td class=\"column-2\"> $ 297,216,515,453 <\/td><td class=\"column-3\">2.30%<\/td><td class=\"column-4\"> $ 6,730,253,823 <\/td>\n<\/tr>\n<tr class=\"row-81\">\n\t<td class=\"column-1\">San Diego, CA<\/td><td class=\"column-2\"> $ 990,959,272,264 <\/td><td class=\"column-3\">6.50%<\/td><td class=\"column-4\"> $ 60,121,631,255 <\/td>\n<\/tr>\n<tr class=\"row-82\">\n\t<td class=\"column-1\">San Francisco, CA<\/td><td class=\"column-2\"> $ 692,359,715,076 <\/td><td class=\"column-3\">4.30%<\/td><td class=\"column-4\"> $ 28,434,417,143 <\/td>\n<\/tr>\n<tr class=\"row-83\">\n\t<td class=\"column-1\">San Jose, CA<\/td><td class=\"column-2\"> $ 872,422,996,528 <\/td><td class=\"column-3\">6.10%<\/td><td class=\"column-4\"> $ 49,851,074,882 <\/td>\n<\/tr>\n<tr class=\"row-84\">\n\t<td class=\"column-1\">Seattle, WA<\/td><td class=\"column-2\"> $ 939,106,345,974 <\/td><td class=\"column-3\">5.70%<\/td><td class=\"column-4\"> $ 50,879,805,125 <\/td>\n<\/tr>\n<tr class=\"row-85\">\n\t<td class=\"column-1\">St. Louis, MO<\/td><td class=\"column-2\"> $ 268,329,878,402 <\/td><td class=\"column-3\">5.60%<\/td><td class=\"column-4\"> $ 14,340,287,702 <\/td>\n<\/tr>\n<tr class=\"row-86\">\n\t<td class=\"column-1\">Stockton, CA<\/td><td class=\"column-2\"> $ 112,561,917,002 <\/td><td class=\"column-3\">5.50%<\/td><td class=\"column-4\"> $ 5,891,469,143 <\/td>\n<\/tr>\n<tr class=\"row-87\">\n\t<td class=\"column-1\">Tacoma, WA<\/td><td class=\"column-2\"> $ 163,343,386,143 <\/td><td class=\"column-3\">2.30%<\/td><td class=\"column-4\"> $ 3,668,878,549 <\/td>\n<\/tr>\n<tr class=\"row-88\">\n\t<td class=\"column-1\">Tampa, FL<\/td><td class=\"column-2\"> $ 537,104,739,623 <\/td><td class=\"column-3\">0.80%<\/td><td class=\"column-4\"> $ 4,225,311,755 <\/td>\n<\/tr>\n<tr class=\"row-89\">\n\t<td class=\"column-1\">Tucson, AZ<\/td><td class=\"column-2\"> $ 145,081,722,876 <\/td><td class=\"column-3\">2.20%<\/td><td class=\"column-4\"> $ 3,162,638,427 <\/td>\n<\/tr>\n<tr class=\"row-90\">\n\t<td class=\"column-1\">Tulsa, OK<\/td><td class=\"column-2\"> $ 94,232,483,171 <\/td><td class=\"column-3\">5.90%<\/td><td class=\"column-4\"> $ 5,268,025,257 <\/td>\n<\/tr>\n<tr class=\"row-91\">\n\t<td class=\"column-1\">Virginia Beach, VA<\/td><td class=\"column-2\"> $ 239,719,517,900 <\/td><td class=\"column-3\">7.20%<\/td><td class=\"column-4\"> $ 16,047,609,546 <\/td>\n<\/tr>\n<tr class=\"row-92\">\n\t<td class=\"column-1\">Warren, MI<\/td><td class=\"column-2\"> $ 372,326,559,992 <\/td><td class=\"column-3\">7.60%<\/td><td class=\"column-4\"> $ 26,151,976,782 <\/td>\n<\/tr>\n<tr class=\"row-93\">\n\t<td class=\"column-1\">Washington, DC<\/td><td class=\"column-2\"> $ 1,050,102,365,631 <\/td><td class=\"column-3\">5.80%<\/td><td class=\"column-4\"> $ 57,737,933,641 <\/td>\n<\/tr>\n<tr class=\"row-94\">\n\t<td class=\"column-1\">West Palm Beach, FL<\/td><td class=\"column-2\"> $ 471,745,502,390 <\/td><td class=\"column-3\">0.30%<\/td><td class=\"column-4\"> $ 1,438,201,664 <\/td>\n<\/tr>\n<tr class=\"row-95\">\n\t<td class=\"column-1\">Wilmington, DE<\/td><td class=\"column-2\"> $ 80,656,130,450 <\/td><td class=\"column-3\">3.70%<\/td><td class=\"column-4\"> $ 2,865,507,656 <\/td>\n<\/tr>\n<tr class=\"row-96\">\n\t<td class=\"column-1\">Worcester, MA<\/td><td class=\"column-2\"> $ 166,226,519,015 <\/td><td class=\"column-3\">6.70%<\/td><td class=\"column-4\"> $ 10,471,675,651 <\/td>\n<\/tr>\n<tr class=\"row-97\">\n\t<td class=\"column-1\"><strong>National<\/strong><\/td><td class=\"column-2\"><strong> $ 49,682,789,576,006 <\/strong><\/td><td class=\"column-3\"><strong>5.20%<\/strong><\/td><td class=\"column-4\"><strong> $ 2,474,136,310,007 <\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-435 from cache -->\n<h2><b>Methodology<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">This analysis estimated current (December 2024) home values using the <\/span><a href=\"https:\/\/www.redfin.com\/redfin-estimate\"><span style=\"font-weight: 400;\">Redfin Estimate<\/span><span style=\"font-weight: 400;\">, <\/span><\/a><span style=\"font-weight: 400;\">MLS data and public records. The Redfin Estimate covers more than 98 million single-family homes, condos, townhouses and 2-4 unit multifamily properties, and is available in most but not all parts of the U.S. Historical values were imputed using public records and MLS data on price per square foot trends by zip code (or city, county or state when zip-code data was insufficient). Both existing homes and new-construction homes are included in this dataset, which dates back to the year 2000. Homes are not added to the dataset until they are first built or sold.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Homes are determined to be rural, suburban or urban based on categories for the census tract of the property from the U.S. Department of Housing and Urban Development (HUD). HUD has<\/span><a href=\"https:\/\/www.huduser.gov\/portal\/AHS-neighborhood-description-study-2017.html#overview-tab\"><span style=\"font-weight: 400;\"> a <\/span><span style=\"font-weight: 400;\">model<\/span><\/a><span style=\"font-weight: 400;\"> that describes neighborhood types based on responses to the 2017 American Housing Survey.\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The combined value of U.S. homes climbed to $49.7 trillion in 2024. The total value of homes owned by millennials grew to nearly $10 trillion, representing more than 20% of the U.S. market. Two upstate New York metros\u2014Albany and Rochester\u2014had the fastest growth in aggregate home value, while Florida metros grew more slowly. San Diego [&hellip;]<\/p>\n","protected":false},"author":13568,"featured_media":79334,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[27,8],"tags":[20,623],"coauthors":[682,622],"class_list":["post-79330","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-affordability","category-housing-market-news","tag-housing-affordability","tag-national"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.7 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>U.S. Housing Market Gained $2.5 Trillion in Value in 2024<\/title>\n<meta name=\"description\" content=\"The combined value of U.S. homes climbed to $49.7 trillion in 2024. Two upstate New York metros\u2014Albany and Rochester\u2014had the fastest growth in aggregate home value, while Florida metros grew more slowly. San Diego and Seattle look set to join eight other metros with homes worth $1 trillion in 2025.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.redfin.com\/news\/housing-market-value-december-2024\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"U.S. Housing Market Gained $2.5 Trillion in Value in 2024\" \/>\n<meta property=\"og:description\" content=\"The combined value of U.S. homes climbed to $49.7 trillion in 2024. Two upstate New York metros\u2014Albany and Rochester\u2014had the fastest growth in aggregate home value, while Florida metros grew more slowly. 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