{"id":7926,"date":"2026-07-13T17:08:26","date_gmt":"2026-07-14T00:08:26","guid":{"rendered":"https:\/\/blog.loaning.ai\/en\/?p=7926"},"modified":"2026-07-13T17:09:58","modified_gmt":"2026-07-14T00:09:58","slug":"u-s-home-prices-reach-a-record-high-as-buyer-demand-returns","status":"publish","type":"post","link":"https:\/\/blog.loaning.ai\/en\/7926\/","title":{"rendered":"U.S. Home Prices Reach a Record High as Buyer Demand Returns"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>The median U.S. home-sale price climbed to $408,776 in June, while sales activity strengthened and new listings moved lower.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The U.S. housing market gained momentum in June 2026, pushing home prices to a new record.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The median home-sale price rose <strong>2.2% year over year to $408,776<\/strong>, the highest level on record. The increase came as buyer demand improved, completed sales rose from a year earlier, and the supply of newly listed homes tightened. &nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The market is not returning evenly, however. Affluent buyers are driving much of the activity in several expensive coastal markets, while elevated mortgage rates continue to restrict purchasing power for many first-time and middle-income buyers.<\/p>\n\n\n\n<p class=\"has-white-color has-text-color has-link-color wp-elements-1 wp-block-paragraph\">.<\/p>\n\n\n\n<h2 id=\"h-home-sales-reached-their-strongest-level-in-years\" class=\"wp-block-heading\" style=\"font-size:24px\"><strong>Home Sales Reached Their Strongest Level in Years<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Existing-home sales edged up <strong>0.1% from May<\/strong> to a seasonally adjusted annual rate of approximately <strong>4.4 million<\/strong>\u2014the highest level since November 2022. Compared with June 2025, existing-home sales increased <strong>4.2%<\/strong>. &nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Pending sales also moved higher, rising <strong>0.5% month over month and 4.5% year over year<\/strong>. Aside from April, June recorded the strongest level of pending sales since 2023.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Total closed sales, including both existing and newly built homes, declined slightly from the previous month but remained <strong>4.5% higher than a year earlier<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These figures point to a clear shift: buyers are re-entering the market despite high home prices and mortgage rates that remain well above the levels seen earlier in the decade.<\/p>\n\n\n\n<p class=\"has-white-color has-text-color has-link-color wp-elements-2 wp-block-paragraph\">.<\/p>\n\n\n\n<h2 id=\"h-wealthy-buyers-are-reshaping-coastal-markets\" class=\"wp-block-heading\" style=\"font-size:24px\"><strong>Wealthy Buyers Are Reshaping Coastal Markets<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The strongest price and sales increases were concentrated in markets attracting high-income buyers.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">San Francisco recorded the largest annual home-price gain among the major metros analyzed, with the median sale price rising <strong>9.2%<\/strong>. Pittsburgh followed at <strong>9.1%<\/strong>, while West Palm Beach increased <strong>8.6%<\/strong>. &nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Closed sales climbed roughly <strong>23% year over year<\/strong> in both San Francisco and West Palm Beach\u2014the largest gains among major U.S. metropolitan areas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Demand in the Bay Area is being supported by high-income technology workers and wealth connected to the artificial-intelligence sector. In South Florida, favorable taxes, warm weather, and demand for luxury properties continue to attract wealthy households.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This strength at the top of the market is helping lift national prices, even as many typical buyers remain constrained by affordability.<\/p>\n\n\n\n<p class=\"has-white-color has-text-color has-link-color wp-elements-3 wp-block-paragraph\">.<\/p>\n\n\n\n<h2 id=\"h-high-mortgage-rates-continue-to-divide-the-market\" class=\"wp-block-heading\" style=\"font-size:24px\"><strong>High Mortgage Rates Continue to Divide the Market<\/strong><\/h2>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"440\" src=\"https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-2-1024x440.png\" alt=\"\" class=\"wp-image-7929\" style=\"aspect-ratio:2.327319862211016;width:812px;height:auto\" srcset=\"https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-2-1024x440.png 1024w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-2-300x129.png 300w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-2-768x330.png 768w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-2-1536x660.png 1536w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-2-750x322.png 750w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-2-1140x490.png 1140w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-2.png 1634w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">The average 30-year fixed mortgage rate was <strong>6.49% in June<\/strong>, slightly higher than in May. Combined with record home prices, that increase placed additional pressure on monthly housing payments. &nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Higher-income buyers are better positioned to absorb elevated borrowing costs or make larger down payments. First-time buyers and households relying more heavily on financing face a different market, where even a small change in the mortgage rate can meaningfully alter the monthly payment.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Price growth has slowed compared with recent years. U.S. home prices were increasing by roughly 5% annually during much of 2024 and posted double-digit gains during parts of the pandemic-era buying surge. June\u2019s 2.2% increase was more moderate and remained below recent wage growth, offering a limited improvement in affordability despite the record price level.<\/p>\n\n\n\n<p class=\"has-white-color has-text-color has-link-color wp-elements-4 wp-block-paragraph\">.<\/p>\n\n\n\n<h2 id=\"h-competition-reached-a-one-year-high\" class=\"wp-block-heading\" style=\"font-size:24px\"><strong>Competition Reached a One-Year High<\/strong><\/h2>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"442\" src=\"https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-3-1024x442.png\" alt=\"\" class=\"wp-image-7930\" style=\"aspect-ratio:2.3167886308198113;width:822px;height:auto\" srcset=\"https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-3-1024x442.png 1024w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-3-300x129.png 300w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-3-768x331.png 768w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-3-1536x663.png 1536w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-3-750x324.png 750w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-3-1140x492.png 1140w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-3.png 1734w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">Buyer competition also strengthened in June.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Approximately <strong>22.2% of homes sold for more than their original asking price<\/strong>, the highest seasonally adjusted share in more than a year. Renewed competition contributed to the increase in the national median sale price. &nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At the same time, the market continued to favor buyers in many locations. Nearly <strong>59.5% of homes sold below their original list price<\/strong>, and the typical home spent <strong>49 days on the market<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The national figures therefore reflect two conditions at once: competition is rising for desirable homes and in high-demand markets, but buyers still retain negotiating power across a large portion of the country.<\/p>\n\n\n\n<p class=\"has-white-color has-text-color has-link-color wp-elements-5 wp-block-paragraph\">.<\/p>\n\n\n\n<h2 id=\"h-new-listings-fell-as-sellers-pulled-back\" class=\"wp-block-heading\" style=\"font-size:24px\"><strong>New Listings Fell as Sellers Pulled Back<\/strong><\/h2>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"478\" src=\"https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-4-1024x478.png\" alt=\"\" class=\"wp-image-7932\" style=\"aspect-ratio:2.1422967539472393;width:726px;height:auto\" srcset=\"https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-4-1024x478.png 1024w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-4-300x140.png 300w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-4-768x358.png 768w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-4-1536x717.png 1536w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-4-750x350.png 750w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-4-1140x532.png 1140w, https:\/\/blog.loaning.ai\/en\/wp-content\/uploads\/2026\/07\/image-4.png 1612w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">New listings declined approximately <strong>1% from May<\/strong>, reaching their lowest level since December.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Some homeowners are delaying plans to sell because many markets still contain more sellers than active buyers. Others remain reluctant to exchange an existing low-rate mortgage for a new loan at today\u2019s higher rates.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The largest annual declines in new listings occurred in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Dallas:<\/strong> down 6.5%<\/li>\n\n\n\n<li><strong>Fort Worth:<\/strong> down 6.2%<\/li>\n\n\n\n<li><strong>Jacksonville:<\/strong> down 5.5%<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">A continued decline in new supply could place additional upward pressure on prices, especially if buyer demand remains firm.<\/p>\n\n\n\n<div class=\"housing-market-table\">\n\n  <table>\n\n    <colgroup>\n      <col class=\"housing-col-metric\">\n      <col class=\"housing-col-value\">\n      <col class=\"housing-col-monthly\">\n      <col class=\"housing-col-yearly\">\n    <\/colgroup>\n\n    <thead>\n\n      <tr class=\"housing-table-title-row\">\n        <th colspan=\"4\">\n          June 2026 Housing Market Highlights: United States\n        <\/th>\n      <\/tr>\n\n      <tr>\n        <th scope=\"col\">Market Metric<\/th>\n        <th scope=\"col\">June 2026<\/th>\n        <th scope=\"col\">Month-over-Month Change<\/th>\n        <th scope=\"col\">Year-over-Year Change<\/th>\n      <\/tr>\n\n    <\/thead>\n\n    <tbody>\n\n      <tr>\n        <th scope=\"row\">Median sale price<\/th>\n        <td>$408,776<\/td>\n        <td>N\/A<\/td>\n        <td>2.2%<\/td>\n      <\/tr>\n\n      <tr>\n        <th scope=\"row\">\n          Existing-home sales, seasonally adjusted annual rate\n        <\/th>\n        <td>4,397,321<\/td>\n        <td>0.1%<\/td>\n        <td>4.2%<\/td>\n      <\/tr>\n\n      <tr>\n        <th scope=\"row\">Pending home sales<\/th>\n        <td>349,254<\/td>\n        <td>0.5%<\/td>\n        <td>4.5%<\/td>\n      <\/tr>\n\n      <tr>\n        <th scope=\"row\">Homes sold<\/th>\n        <td>302,606<\/td>\n        <td>-0.4%<\/td>\n        <td>4.5%<\/td>\n      <\/tr>\n\n      <tr>\n        <th scope=\"row\">New listings<\/th>\n        <td>376,762<\/td>\n        <td>-0.8%<\/td>\n        <td>0.1%<\/td>\n      <\/tr>\n\n      <tr>\n        <th scope=\"row\">Total homes for sale (active listings)<\/th>\n        <td>1,496,490<\/td>\n        <td>0.4%<\/td>\n        <td>0.8%<\/td>\n      <\/tr>\n\n      <tr>\n        <th scope=\"row\">Months of supply<\/th>\n        <td>3.7<\/td>\n        <td>-0.1<\/td>\n        <td>-0.2<\/td>\n      <\/tr>\n\n      <tr>\n        <th scope=\"row\">Median days on market<\/th>\n        <td>49<\/td>\n        <td>Unchanged<\/td>\n        <td>1<\/td>\n      <\/tr>\n\n      <tr>\n        <th scope=\"row\">\n          Share of homes that sold below original list price\n        <\/th>\n        <td>59.5%<\/td>\n        <td>-0.6 ppts<\/td>\n        <td>-0.8 ppts<\/td>\n      <\/tr>\n\n      <tr>\n        <th scope=\"row\">\n          Average sale-to-original-list-price ratio\n        <\/th>\n        <td>96.4%<\/td>\n        <td>0.1 ppts<\/td>\n        <td>0.2 ppts<\/td>\n      <\/tr>\n\n      <tr>\n        <th scope=\"row\">\n          Pending sales that fell out of contract, as % of overall pending sales\n        <\/th>\n        <td>13.3%<\/td>\n        <td>-0.2 ppts<\/td>\n        <td>-0.3 ppts<\/td>\n      <\/tr>\n\n      <tr class=\"housing-mortgage-rate-row\">\n        <th scope=\"row\">\n          Monthly average 30-year fixed mortgage rate\n        <\/th>\n        <td>6.49%<\/td>\n        <td>0.05 ppts<\/td>\n        <td>-0.33 ppts<\/td>\n      <\/tr>\n\n    <\/tbody>\n\n  <\/table>\n\n  <div class=\"housing-market-disclosure\">\n    <p>\n      Source: Redfin, June 2026 Housing Market Highlights. All figures are\n      seasonally adjusted except median sale price and mortgage rate data.\n      Percentage-point changes are shown as \u201cppts.\u201d\n    <\/p>\n  <\/div>\n\n<\/div>\n\n\n<style>\n  .housing-market-table,\n  .housing-market-table * {\n    box-sizing: border-box;\n  }\n\n  .housing-market-table {\n    width: 100%;\n    max-width: 100%;\n    margin: 20px 0 26px;\n    overflow: hidden;\n    background-color: #ffffff;\n    border: 1px solid #dbeafe;\n    border-radius: 12px;\n    box-shadow: 0 6px 20px rgba(37, 99, 235, 0.05);\n    font-family:\n      \"Pretendard\",\n      -apple-system,\n      BlinkMacSystemFont,\n      \"Apple SD Gothic Neo\",\n      \"Segoe UI\",\n      Arial,\n      sans-serif;\n  }\n\n  .housing-market-table table {\n    display: table;\n    width: 100% !important;\n    max-width: 100% !important;\n    min-width: 0 !important;\n    margin: 0 !important;\n    padding: 0;\n    table-layout: fixed;\n    border-collapse: collapse;\n    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\"Month-over-Month Change\";\n    }\n\n    .housing-market-table tbody td:nth-of-type(3)::before {\n      content: \"Year-over-Year Change\";\n    }\n\n    .housing-market-table .housing-mortgage-rate-row th {\n      color: #0284c7;\n    }\n\n    .housing-market-disclosure {\n      margin-top: 10px;\n      padding: 10px 11px;\n      border: 1px solid #dbeafe;\n      border-radius: 10px;\n    }\n\n    .housing-market-disclosure p {\n      font-size: 7.5px;\n      line-height: 1.5;\n    }\n  }\n<\/style>\n\n\n\n<p class=\"has-white-color has-text-color has-link-color wp-elements-6 wp-block-paragraph\">.<\/p>\n\n\n\n<h2 id=\"h-housing-conditions-vary-sharply-by-metro\" class=\"wp-block-heading\" style=\"font-size:24px\"><strong>Housing Conditions Vary Sharply by Metro<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">National averages do not represent every local market.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Home prices fell most significantly in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Seattle:<\/strong> down 4.9% year over year<\/li>\n\n\n\n<li><strong>San Jose:<\/strong> down 3.9%<\/li>\n\n\n\n<li><strong>Portland:<\/strong> down 1.8%<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Pending sales posted their strongest annual gains in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>San Francisco:<\/strong> up 16.4%<\/li>\n\n\n\n<li><strong>Austin:<\/strong> up 13.2%<\/li>\n\n\n\n<li><strong>West Palm Beach:<\/strong> up 13%<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Closed sales rose most in West Palm Beach, San Francisco, and San Diego, while Philadelphia, Seattle, and Atlanta recorded the largest declines. &nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The variation shows why buyers cannot rely on national headlines alone. Local inventory, competition, pricing, property taxes, and mortgage costs determine the actual affordability of a home.<\/p>\n\n\n\n<div class=\"metro-data-table\">\n\n  <div class=\"metro-table-scroll\">\n\n    <table>\n\n      <colgroup>\n        <col class=\"metro-col-area\">\n        <col class=\"metro-col-price\">\n        <col class=\"metro-col-change\">\n        <col class=\"metro-col-change\">\n        <col class=\"metro-col-change\">\n        <col class=\"metro-col-change\">\n        <col class=\"metro-col-change\">\n        <col class=\"metro-col-days\">\n        <col class=\"metro-col-days-change\">\n      <\/colgroup>\n\n      <thead>\n\n        <tr class=\"metro-table-title-row\">\n          <th colspan=\"9\">\n            June 2026 Full Metro-Level Data\n          <\/th>\n        <\/tr>\n\n        <tr>\n          <th scope=\"col\">U.S. Metro Area<\/th>\n          <th scope=\"col\">Median Sale Price<\/th>\n          <th scope=\"col\">\n            Median Sale Price,<br>\n            Y\/Y Change\n          <\/th>\n          <th scope=\"col\">\n            Pending Sales,<br>\n            Y\/Y Change\n          <\/th>\n          <th scope=\"col\">\n            Homes Sold,<br>\n            Y\/Y Change\n          <\/th>\n          <th scope=\"col\">\n            New Listings,<br>\n            Y\/Y Change\n          <\/th>\n          <th scope=\"col\">\n            Active Listings,<br>\n            Y\/Y Change\n          <\/th>\n          <th scope=\"col\">\n            Median Days<br>\n            on Market\n          <\/th>\n          <th scope=\"col\">\n            Median Days on Market,<br>\n            Y\/Y Change\n          <\/th>\n        <\/tr>\n\n      <\/thead>\n\n      <tbody>\n\n        <tr>\n          <th scope=\"row\">Anaheim, CA<\/th>\n          <td>$1,271,194<\/td>\n          <td>2.5%<\/td>\n          <td>4.2%<\/td>\n          <td>7.1%<\/td>\n          <td>-4.7%<\/td>\n          <td>15.0%<\/td>\n          <td>46<\/td>\n          <td>0<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Atlanta, GA<\/th>\n          <td>$408,776<\/td>\n          <td>0.7%<\/td>\n          <td>-0.7%<\/td>\n          <td>-3.7%<\/td>\n          <td>1.5%<\/td>\n          <td>-1.1%<\/td>\n          <td>61<\/td>\n          <td>2<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Austin, TX<\/th>\n          <td>$448,657<\/td>\n          <td>0.3%<\/td>\n          <td>13.2%<\/td>\n          <td>0.4%<\/td>\n          <td>-1.9%<\/td>\n          <td>9.1%<\/td>\n          <td>90<\/td>\n          <td>5<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Baltimore, MD<\/th>\n          <td>$438,686<\/td>\n          <td>4.5%<\/td>\n          <td>1.6%<\/td>\n          <td>-2.6%<\/td>\n          <td>12.3%<\/td>\n          <td>3.2%<\/td>\n          <td>38<\/td>\n          <td>4<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Boston, MA<\/th>\n          <td>$797,612<\/td>\n          <td>-0.2%<\/td>\n          <td>9.3%<\/td>\n          <td>1.4%<\/td>\n          <td>14.1%<\/td>\n          <td>6.0%<\/td>\n          <td>25<\/td>\n          <td>2<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Charlotte, NC<\/th>\n          <td>$428,716<\/td>\n          <td>0.9%<\/td>\n          <td>3.4%<\/td>\n          <td>0.9%<\/td>\n          <td>7.6%<\/td>\n          <td>4.9%<\/td>\n          <td>66<\/td>\n          <td>5<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Chicago, IL<\/th>\n          <td>$408,776<\/td>\n          <td>6.2%<\/td>\n          <td>5.2%<\/td>\n          <td>0.8%<\/td>\n          <td>0.5%<\/td>\n          <td>4.7%<\/td>\n          <td>54<\/td>\n          <td>0<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Cincinnati, OH<\/th>\n          <td>$324,030<\/td>\n          <td>2.7%<\/td>\n          <td>6.5%<\/td>\n          <td>3.0%<\/td>\n          <td>15.0%<\/td>\n          <td>3.5%<\/td>\n          <td>44<\/td>\n          <td>2<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Cleveland, OH<\/th>\n          <td>$274,179<\/td>\n          <td>3.7%<\/td>\n          <td>2.8%<\/td>\n          <td>4.9%<\/td>\n          <td>1.8%<\/td>\n          <td>0.4%<\/td>\n          <td>28<\/td>\n          <td>-1<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Columbus, OH<\/th>\n          <td>$368,895<\/td>\n          <td>-0.3%<\/td>\n          <td>2.2%<\/td>\n          <td>4.9%<\/td>\n          <td>5.3%<\/td>\n          <td>-0.4%<\/td>\n          <td>48<\/td>\n          <td>2<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Dallas, TX<\/th>\n          <td>$413,761<\/td>\n          <td>-1.5%<\/td>\n          <td>-1.5%<\/td>\n          <td>0.1%<\/td>\n          <td>-7.5%<\/td>\n          <td>-6.5%<\/td>\n          <td>61<\/td>\n          <td>1<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Denver, CO<\/th>\n          <td>$607,070<\/td>\n          <td>0.4%<\/td>\n          <td>-3.1%<\/td>\n          <td>-0.1%<\/td>\n          <td>-5.8%<\/td>\n          <td>-0.7%<\/td>\n          <td>39<\/td>\n          <td>3<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Fort Worth, TX<\/th>\n          <td>$368,796<\/td>\n          <td>2.3%<\/td>\n          <td>-0.2%<\/td>\n          <td>5.6%<\/td>\n          <td>-8.6%<\/td>\n          <td>-6.2%<\/td>\n          <td>57<\/td>\n          <td>0<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Houston, TX<\/th>\n          <td>$345,665<\/td>\n          <td>0.2%<\/td>\n          <td>-10.5%<\/td>\n          <td>-0.5%<\/td>\n          <td>-1.2%<\/td>\n          <td>0.8%<\/td>\n          <td>68<\/td>\n          <td>8<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Indianapolis, IN<\/th>\n          <td>$324,030<\/td>\n          <td>-0.3%<\/td>\n          <td>5.9%<\/td>\n          <td>10.9%<\/td>\n          <td>6.6%<\/td>\n          <td>1.2%<\/td>\n          <td>32<\/td>\n          <td>6<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Jacksonville, FL<\/th>\n          <td>$394,215<\/td>\n          <td>5.7%<\/td>\n          <td>2.6%<\/td>\n          <td>-1.3%<\/td>\n          <td>-16.6%<\/td>\n          <td>-5.5%<\/td>\n          <td>70<\/td>\n          <td>-7<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Kansas City, MO<\/th>\n          <td>$363,910<\/td>\n          <td>1.1%<\/td>\n          <td>1.7%<\/td>\n          <td>2.9%<\/td>\n          <td>-4.4%<\/td>\n          <td>1.2%<\/td>\n          <td>22<\/td>\n          <td>-1<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Las Vegas, NV<\/th>\n          <td>$453,642<\/td>\n          <td>0.8%<\/td>\n          <td>7.4%<\/td>\n          <td>10.3%<\/td>\n          <td>-0.2%<\/td>\n          <td>0.6%<\/td>\n          <td>68<\/td>\n          <td>8<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Los Angeles, CA<\/th>\n          <td>$947,164<\/td>\n          <td>-0.2%<\/td>\n          <td>5.6%<\/td>\n          <td>2.9%<\/td>\n          <td>-4.1%<\/td>\n          <td>3.9%<\/td>\n          <td>49<\/td>\n          <td>1<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Miami, FL<\/th>\n          <td>$576,124<\/td>\n          <td>0.2%<\/td>\n          <td>4.7%<\/td>\n          <td>8.2%<\/td>\n          <td>-13.5%<\/td>\n          <td>-2.9%<\/td>\n          <td>94<\/td>\n          <td>3<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Milwaukee, WI<\/th>\n          <td>$378,866<\/td>\n          <td>3.8%<\/td>\n          <td>7.0%<\/td>\n          <td>4.4%<\/td>\n          <td>6.7%<\/td>\n          <td>2.7%<\/td>\n          <td>45<\/td>\n          <td>1<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Minneapolis, MN<\/th>\n          <td>$408,776<\/td>\n          <td>0.9%<\/td>\n          <td>5.3%<\/td>\n          <td>8.9%<\/td>\n          <td>7.3%<\/td>\n          <td>7.5%<\/td>\n          <td>32<\/td>\n          <td>1<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Montgomery County, PA<\/th>\n          <td>$548,358<\/td>\n          <td>3.5%<\/td>\n          <td>6.8%<\/td>\n          <td>2.3%<\/td>\n          <td>11.3%<\/td>\n          <td>6.8%<\/td>\n          <td>32<\/td>\n          <td>2<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Nashville, TN<\/th>\n          <td>$498,507<\/td>\n          <td>2.8%<\/td>\n          <td>4.7%<\/td>\n          <td>4.8%<\/td>\n          <td>9.4%<\/td>\n          <td>0.0%<\/td>\n          <td>78<\/td>\n          <td>8<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Nassau County, NY<\/th>\n          <td>$781,161<\/td>\n          <td>4.9%<\/td>\n          <td>5.7%<\/td>\n          <td>-1.7%<\/td>\n          <td>2.5%<\/td>\n          <td>1.2%<\/td>\n          <td>34<\/td>\n          <td>1<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">New Brunswick, NJ<\/th>\n          <td>$603,194<\/td>\n          <td>4.9%<\/td>\n          <td>7.2%<\/td>\n          <td>2.0%<\/td>\n          <td>11.6%<\/td>\n          <td>8.5%<\/td>\n          <td>36<\/td>\n          <td>-1<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">New York, NY<\/th>\n          <td>$843,474<\/td>\n          <td>2.9%<\/td>\n          <td>5.1%<\/td>\n          <td>-1.3%<\/td>\n          <td>0.4%<\/td>\n          <td>-1.5%<\/td>\n          <td>57<\/td>\n          <td>1<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Newark, NJ<\/th>\n          <td>$697,245<\/td>\n          <td>4.8%<\/td>\n          <td>7.8%<\/td>\n          <td>6.0%<\/td>\n          <td>6.7%<\/td>\n          <td>8.6%<\/td>\n          <td>25<\/td>\n          <td>-7<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Oakland, CA<\/th>\n          <td>$977,074<\/td>\n          <td>1.8%<\/td>\n          <td>-0.1%<\/td>\n          <td>3.6%<\/td>\n          <td>-8.2%<\/td>\n          <td>1.5%<\/td>\n          <td>22<\/td>\n          <td>-3<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Orlando, FL<\/th>\n          <td>$413,761<\/td>\n          <td>0.7%<\/td>\n          <td>2.2%<\/td>\n          <td>6.4%<\/td>\n          <td>-6.0%<\/td>\n          <td>2.6%<\/td>\n          <td>50<\/td>\n          <td>-5<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Philadelphia, PA<\/th>\n          <td>$337,988<\/td>\n          <td>7.3%<\/td>\n          <td>2.3%<\/td>\n          <td>-6.8%<\/td>\n          <td>9.7%<\/td>\n          <td>16.7%<\/td>\n          <td>51<\/td>\n          <td>5<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Phoenix, AZ<\/th>\n          <td>$463,612<\/td>\n          <td>0.9%<\/td>\n          <td>4.8%<\/td>\n          <td>5.3%<\/td>\n          <td>-4.9%<\/td>\n          <td>-2.6%<\/td>\n          <td>64<\/td>\n          <td>0<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Pittsburgh, PA<\/th>\n          <td>$291,527<\/td>\n          <td>9.1%<\/td>\n          <td>1.4%<\/td>\n          <td>2.8%<\/td>\n          <td>11.5%<\/td>\n          <td>9.8%<\/td>\n          <td>62<\/td>\n          <td>3<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Portland, OR<\/th>\n          <td>$568,298<\/td>\n          <td>-1.8%<\/td>\n          <td>7.0%<\/td>\n          <td>11.4%<\/td>\n          <td>-1.1%<\/td>\n          <td>2.2%<\/td>\n          <td>36<\/td>\n          <td>1<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Providence, RI<\/th>\n          <td>$547,361<\/td>\n          <td>4.3%<\/td>\n          <td>5.9%<\/td>\n          <td>9.9%<\/td>\n          <td>4.4%<\/td>\n          <td>4.9%<\/td>\n          <td>30<\/td>\n          <td>1<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Riverside, CA<\/th>\n          <td>$588,234<\/td>\n          <td>-1.1%<\/td>\n          <td>2.2%<\/td>\n          <td>1.6%<\/td>\n          <td>-12.4%<\/td>\n          <td>-1.4%<\/td>\n          <td>53<\/td>\n          <td>-2<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Sacramento, CA<\/th>\n          <td>$598,209<\/td>\n          <td>-0.3%<\/td>\n          <td>11.0%<\/td>\n          <td>10.9%<\/td>\n          <td>-5.3%<\/td>\n          <td>-1.8%<\/td>\n          <td>33<\/td>\n          <td>-3<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">San Antonio, TX<\/th>\n          <td>$328,985<\/td>\n          <td>2.8%<\/td>\n          <td>1.7%<\/td>\n          <td>2.1%<\/td>\n          <td>-0.8%<\/td>\n          <td>-1.7%<\/td>\n          <td>81<\/td>\n          <td>-1<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">San Diego, CA<\/th>\n          <td>$952,149<\/td>\n          <td>3.9%<\/td>\n          <td>2.4%<\/td>\n          <td>12.8%<\/td>\n          <td>-5.9%<\/td>\n          <td>5.3%<\/td>\n          <td>34<\/td>\n          <td>-3<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">San Francisco, CA<\/th>\n          <td>$1,724,835<\/td>\n          <td>9.2%<\/td>\n          <td>16.4%<\/td>\n          <td>23.1%<\/td>\n          <td>-15.7%<\/td>\n          <td>2.2%<\/td>\n          <td>20<\/td>\n          <td>-3<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">San Jose, CA<\/th>\n          <td>$1,615,164<\/td>\n          <td>-3.9%<\/td>\n          <td>6.3%<\/td>\n          <td>-0.4%<\/td>\n          <td>6.9%<\/td>\n          <td>-3.6%<\/td>\n          <td>21<\/td>\n          <td>2<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Seattle, WA<\/th>\n          <td>$827,522<\/td>\n          <td>-4.9%<\/td>\n          <td>-10.8%<\/td>\n          <td>-5.9%<\/td>\n          <td>12.3%<\/td>\n          <td>0.2%<\/td>\n          <td>25<\/td>\n          <td>9<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">St. Louis, MO<\/th>\n          <td>$309,075<\/td>\n          <td>5.7%<\/td>\n          <td>3.8%<\/td>\n          <td>7.0%<\/td>\n          <td>13.3%<\/td>\n          <td>13.0%<\/td>\n          <td>31<\/td>\n          <td>-2<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Tampa, FL<\/th>\n          <td>$391,328<\/td>\n          <td>3.0%<\/td>\n          <td>-1.8%<\/td>\n          <td>2.2%<\/td>\n          <td>-10.4%<\/td>\n          <td>-1.6%<\/td>\n          <td>46<\/td>\n          <td>-1<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Virginia Beach, VA<\/th>\n          <td>$398,806<\/td>\n          <td>5.2%<\/td>\n          <td>-1.9%<\/td>\n          <td>5.1%<\/td>\n          <td>-0.3%<\/td>\n          <td>2.7%<\/td>\n          <td>35<\/td>\n          <td>0<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">Washington, DC<\/th>\n          <td>$623,134<\/td>\n          <td>2.7%<\/td>\n          <td>1.0%<\/td>\n          <td>3.6%<\/td>\n          <td>8.1%<\/td>\n          <td>5.5%<\/td>\n          <td>\u2014<\/td>\n          <td>\u2014<\/td>\n        <\/tr>\n\n        <tr>\n          <th scope=\"row\">West Palm Beach, FL<\/th>\n          <td>$548,358<\/td>\n          <td>8.6%<\/td>\n          <td>13.0%<\/td>\n          <td>23.8%<\/td>\n          <td>-6.4%<\/td>\n          <td>2.4%<\/td>\n          <td>81<\/td>\n          <td>-8<\/td>\n        <\/tr>\n\n      <\/tbody>\n\n    <\/table>\n\n  <\/div>\n\n  <div class=\"metro-table-disclosure\">\n    <p>\n      Source: Redfin, June 2026 Full Metro-Level Data. The table covers major\n      U.S. metropolitan areas included in Redfin\u2019s June 2026 housing-market\n      analysis. All percentage changes shown are year-over-year changes.\n      Washington, DC median-days-on-market figures were not provided in the\n      source table.\n    <\/p>\n  <\/div>\n\n<\/div>\n\n\n<style>\n  .metro-data-table,\n  .metro-data-table * {\n    box-sizing: border-box;\n  }\n\n  .metro-data-table {\n    width: 100%;\n    max-width: 100%;\n    margin: 20px 0 26px;\n    overflow: hidden;\n    background-color: #ffffff;\n    border: 1px solid #dbeafe;\n    border-radius: 12px;\n    box-shadow: 0 6px 20px rgba(37, 99, 235, 0.05);\n    font-family:\n      \"Pretendard\",\n      -apple-system,\n      BlinkMacSystemFont,\n      \"Apple SD Gothic Neo\",\n      \"Segoe UI\",\n      Arial,\n      sans-serif;\n  }\n\n  .metro-table-scroll {\n    width: 100%;\n    max-width: 100%;\n    overflow-x: auto;\n    overflow-y: visible;\n    -webkit-overflow-scrolling: touch;\n  }\n\n  .metro-data-table table {\n    width: 100%;\n    min-width: 1120px;\n    margin: 0;\n    padding: 0;\n    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strengthened and new listings moved lower. The U.S. housing market gained momentum in June 2026, pushing home prices to a new record. The median home-sale price rose 2.2% year over year to $408,776, the highest level on record. The increase came as [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":7457,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jnews-multi-image_gallery":[],"jnews_single_post":{"format":"standard"},"jnews_primary_category":[],"footnotes":""},"categories":[443],"tags":[],"class_list":["post-7926","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.2 (Yoast SEO v28.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>U.S. Home Prices Reach Record High in June 2026<\/title>\n<meta name=\"description\" content=\"U.S. home prices reached a record $408,776 in June 2026 as sales increased and buyer demand strengthened nationwide.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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