{"id":85147,"date":"2026-05-05T16:10:04","date_gmt":"2026-05-05T23:10:04","guid":{"rendered":"https:\/\/www.redfin.com\/news\/?page_id=85147"},"modified":"2026-05-08T09:26:17","modified_gmt":"2026-05-08T16:26:17","slug":"methodology","status":"publish","type":"page","link":"https:\/\/www.redfin.com\/news\/data-center\/methodology\/","title":{"rendered":"Methodology"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"85147\" class=\"elementor elementor-85147\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9989c27 e-flex e-con-boxed e-con e-parent\" data-id=\"9989c27\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7ddfc7b elementor-widget elementor-widget-template\" data-id=\"7ddfc7b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"template.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-template\">\n\t\t\t\t\t<div data-elementor-type=\"container\" data-elementor-id=\"85190\" class=\"elementor elementor-85190\" data-elementor-post-type=\"elementor_library\">\n\t\t\t\t<div class=\"elementor-element elementor-element-98128b4 e-flex e-con-boxed e-con e-parent\" data-id=\"98128b4\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-2e49d5d2 e-con-full e-flex e-con e-child\" data-id=\"2e49d5d2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-96aef1b e-fit_to_content e-n-menu-none dc-mega-menu e-n-menu-layout-horizontal elementor-widget elementor-widget-n-menu\" data-id=\"96aef1b\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;menu_items&quot;:[{&quot;item_title&quot;:&quot;Data Center&quot;,&quot;item_dropdown_content&quot;:&quot;&quot;,&quot;item_icon_active&quot;:null,&quot;item_link&quot;:{&quot;url&quot;:&quot;https:\\\/\\\/redfin.com\\\/news\\\/data-center\\\/&quot;,&quot;is_external&quot;:&quot;&quot;,&quot;nofollow&quot;:&quot;&quot;,&quot;custom_attributes&quot;:&quot;&quot;},&quot;_id&quot;:&quot;1972fcf&quot;,&quot;item_icon&quot;:{&quot;value&quot;:&quot;&quot;,&quot;library&quot;:&quot;&quot;},&quot;element_id&quot;:&quot;&quot;},{&quot;item_title&quot;:&quot;Dashboards&quot;,&quot;item_dropdown_content&quot;:&quot;yes&quot;,&quot;item_icon_active&quot;:null,&quot;_id&quot;:&quot;48cf2c5&quot;,&quot;item_link&quot;:{&quot;url&quot;:&quot;&quot;,&quot;is_external&quot;:&quot;&quot;,&quot;nofollow&quot;:&quot;&quot;,&quot;custom_attributes&quot;:&quot;&quot;},&quot;item_icon&quot;:{&quot;value&quot;:&quot;&quot;,&quot;library&quot;:&quot;&quot;},&quot;element_id&quot;:&quot;&quot;},{&quot;item_title&quot;:&quot;Downloads&quot;,&quot;item_dropdown_content&quot;:&quot;&quot;,&quot;item_icon_active&quot;:null,&quot;item_link&quot;:{&quot;url&quot;:&quot;https:\\\/\\\/redfin.com\\\/news\\\/data-center\\\/downloads\\\/&quot;,&quot;is_external&quot;:&quot;&quot;,&quot;nofollow&quot;:&quot;&quot;,&quot;custom_attributes&quot;:&quot;&quot;},&quot;_id&quot;:&quot;2dbf668&quot;,&quot;item_icon&quot;:{&quot;value&quot;:&quot;&quot;,&quot;library&quot;:&quot;&quot;},&quot;element_id&quot;:&quot;&quot;},{&quot;item_title&quot;:&quot;Methodology&quot;,&quot;item_dropdown_content&quot;:&quot;&quot;,&quot;item_icon_active&quot;:null,&quot;item_link&quot;:{&quot;url&quot;:&quot;https:\\\/\\\/redfin.com\\\/news\\\/data-center\\\/methodology\\\/&quot;,&quot;is_external&quot;:&quot;&quot;,&quot;nofollow&quot;:&quot;&quot;,&quot;custom_attributes&quot;:&quot;&quot;},&quot;_id&quot;:&quot;9d4e024&quot;,&quot;item_icon&quot;:{&quot;value&quot;:&quot;&quot;,&quot;library&quot;:&quot;&quot;},&quot;element_id&quot;:&quot;&quot;}],&quot;content_width&quot;:&quot;fit_to_content&quot;,&quot;content_horizontal_position&quot;:&quot;left&quot;,&quot;item_position_horizontal&quot;:&quot;center&quot;,&quot;breakpoint_selector&quot;:&quot;none&quot;,&quot;item_layout&quot;:&quot;horizontal&quot;,&quot;open_on&quot;:&quot;hover&quot;,&quot;horizontal_scroll&quot;:&quot;disable&quot;,&quot;menu_item_title_distance_from_content&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:0,&quot;sizes&quot;:[]},&quot;menu_item_title_distance_from_content_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;menu_item_title_distance_from_content_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"mega-menu.default\">\n\t\t\t\t\t\t\t<nav class=\"e-n-menu\" data-widget-number=\"158\" aria-label=\"Menu\">\n\t\t\t\t\t<button class=\"e-n-menu-toggle\" id=\"menu-toggle-158\" aria-haspopup=\"true\" aria-expanded=\"false\" aria-controls=\"menubar-158\" aria-label=\"Menu Toggle\">\n\t\t\t<span class=\"e-n-menu-toggle-icon e-open\">\n\t\t\t\t<i class=\"eicon-menu-bar\"><\/i>\t\t\t<\/span>\n\t\t\t<span class=\"e-n-menu-toggle-icon e-close\">\n\t\t\t\t<i class=\"eicon-close\"><\/i>\t\t\t<\/span>\n\t\t<\/button>\n\t\t\t\t\t<div class=\"e-n-menu-wrapper\" id=\"menubar-158\" aria-labelledby=\"menu-toggle-158\">\n\t\t\t\t<ul class=\"e-n-menu-heading\">\n\t\t\t\t\t\t\t\t<li class=\"e-n-menu-item\">\n\t\t\t\t<div id=\"e-n-menu-title-1581\" class=\"e-n-menu-title\">\n\t\t\t\t\t<a class=\"e-n-menu-title-container e-focus e-link\" href=\"https:\/\/redfin.com\/news\/data-center\/\">\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"e-n-menu-title-text\">\n\t\t\t\t\t\t\tData Center\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t<li class=\"e-n-menu-item\">\n\t\t\t\t<div id=\"e-n-menu-title-1582\" class=\"e-n-menu-title\">\n\t\t\t\t\t<div class=\"e-n-menu-title-container\">\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"e-n-menu-title-text\">\n\t\t\t\t\t\t\tDashboards\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/div>\t\t\t\t\t\t\t\t\t\t\t<button id=\"e-n-menu-dropdown-icon-1582\" class=\"e-n-menu-dropdown-icon e-focus\" data-tab-index=\"2\" aria-haspopup=\"true\" aria-expanded=\"false\" aria-controls=\"e-n-menu-content-1582\" >\n\t\t\t\t\t\t\t<span class=\"e-n-menu-dropdown-icon-opened\">\n\t\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-angle-up\"><\/i>\t\t\t\t\t\t\t\t<span class=\"elementor-screen-only\">Close Dashboards<\/span>\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<span class=\"e-n-menu-dropdown-icon-closed\">\n\t\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-angle-down\"><\/i>\t\t\t\t\t\t\t\t<span class=\"elementor-screen-only\">Open Dashboards<\/span>\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t<\/button>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"e-n-menu-content\">\n\t\t\t\t\t\t<div id=\"e-n-menu-content-1582\" data-tab-index=\"2\" aria-labelledby=\"e-n-menu-dropdown-icon-1582\" class=\"elementor-element elementor-element-50633696 e-con-full e-flex e-con e-child\" data-id=\"50633696\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-b69f745 e-con-full e-flex e-con e-child\" data-id=\"b69f745\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-39eb209b elementor-nav-menu--dropdown-none elementor-widget elementor-widget-nav-menu\" data-id=\"39eb209b\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;layout&quot;:&quot;vertical&quot;,&quot;submenu_icon&quot;:{&quot;value&quot;:&quot;&lt;i class=\\&quot;fas fa-caret-down\\&quot; aria-hidden=\\&quot;true\\&quot;&gt;&lt;\\\/i&gt;&quot;,&quot;library&quot;:&quot;fa-solid&quot;}}\" data-widget_type=\"nav-menu.default\">\n\t\t\t\t\t\t\t\t<nav aria-label=\"Menu\" class=\"elementor-nav-menu--main elementor-nav-menu__container elementor-nav-menu--layout-vertical e--pointer-none\">\n\t\t\t\t<ul id=\"menu-1-39eb209b\" class=\"elementor-nav-menu sm-vertical\"><li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85181\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/housing-market\/\" class=\"elementor-item menu-link\">Housing Market Tracker: Weekly &#038; Monthly<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85184\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/buyers-sellers\/\" class=\"elementor-item menu-link\">Balance of Power: Buyers and Sellers<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85180\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/luxury-home-market\/\" class=\"elementor-item menu-link\">Luxury Home Market<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85179\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/price-drops\/\" class=\"elementor-item menu-link\">Price Drops<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85182\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/home-purchase-cancellations\/\" class=\"elementor-item menu-link\">Home Purchase Cancellations<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85183\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/home-delistings-relistings\/\" class=\"elementor-item menu-link\">Home Delistings &#038; Relistings<\/a><\/li>\n<\/ul>\t\t\t<\/nav>\n\t\t\t\t\t\t<nav class=\"elementor-nav-menu--dropdown elementor-nav-menu__container\" aria-hidden=\"true\">\n\t\t\t\t<ul id=\"menu-2-39eb209b\" class=\"elementor-nav-menu sm-vertical\"><li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85181\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/housing-market\/\" class=\"elementor-item menu-link\" tabindex=\"-1\">Housing Market Tracker: Weekly &#038; Monthly<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85184\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/buyers-sellers\/\" class=\"elementor-item menu-link\" tabindex=\"-1\">Balance of Power: Buyers and Sellers<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85180\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/luxury-home-market\/\" class=\"elementor-item menu-link\" tabindex=\"-1\">Luxury Home Market<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85179\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/price-drops\/\" class=\"elementor-item menu-link\" tabindex=\"-1\">Price Drops<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85182\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/home-purchase-cancellations\/\" class=\"elementor-item menu-link\" tabindex=\"-1\">Home Purchase Cancellations<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85183\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/home-delistings-relistings\/\" class=\"elementor-item menu-link\" tabindex=\"-1\">Home Delistings &#038; Relistings<\/a><\/li>\n<\/ul>\t\t\t<\/nav>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-39e33ad1 e-con-full e-flex e-con e-child\" data-id=\"39e33ad1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4776451d elementor-nav-menu--dropdown-none elementor-widget elementor-widget-nav-menu\" data-id=\"4776451d\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;layout&quot;:&quot;vertical&quot;,&quot;submenu_icon&quot;:{&quot;value&quot;:&quot;&lt;i class=\\&quot;fas fa-caret-down\\&quot; aria-hidden=\\&quot;true\\&quot;&gt;&lt;\\\/i&gt;&quot;,&quot;library&quot;:&quot;fa-solid&quot;}}\" data-widget_type=\"nav-menu.default\">\n\t\t\t\t\t\t\t\t<nav aria-label=\"Menu\" class=\"elementor-nav-menu--main elementor-nav-menu__container elementor-nav-menu--layout-vertical e--pointer-none\">\n\t\t\t\t<ul id=\"menu-1-4776451d\" class=\"elementor-nav-menu sm-vertical\"><li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85187\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/investor-home-purchases\/\" class=\"elementor-item menu-link\">Investor Home Purchases<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85185\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/starter-home-market\/\" class=\"elementor-item menu-link\">Starter Home Market<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85186\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/home-price-index\/\" class=\"elementor-item menu-link\">Redfin Home Price Index<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85189\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/existing-home-sales\/\" class=\"elementor-item menu-link\">Existing Home Sales<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85188\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/financing-trends\/\" class=\"elementor-item menu-link\">Financing Trends: Cash Purchases, Loan Types &#038; Down Payments<\/a><\/li>\n<\/ul>\t\t\t<\/nav>\n\t\t\t\t\t\t<nav class=\"elementor-nav-menu--dropdown elementor-nav-menu__container\" aria-hidden=\"true\">\n\t\t\t\t<ul id=\"menu-2-4776451d\" class=\"elementor-nav-menu sm-vertical\"><li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85187\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/investor-home-purchases\/\" class=\"elementor-item menu-link\" tabindex=\"-1\">Investor Home Purchases<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85185\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/starter-home-market\/\" class=\"elementor-item menu-link\" tabindex=\"-1\">Starter Home Market<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85186\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/home-price-index\/\" class=\"elementor-item menu-link\" tabindex=\"-1\">Redfin Home Price Index<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85189\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/existing-home-sales\/\" class=\"elementor-item menu-link\" tabindex=\"-1\">Existing Home Sales<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-85188\"><a href=\"https:\/\/www.redfin.com\/news\/data-center\/financing-trends\/\" class=\"elementor-item menu-link\" tabindex=\"-1\">Financing Trends: Cash Purchases, Loan Types &#038; Down Payments<\/a><\/li>\n<\/ul>\t\t\t<\/nav>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t<li class=\"e-n-menu-item\">\n\t\t\t\t<div id=\"e-n-menu-title-1583\" class=\"e-n-menu-title\">\n\t\t\t\t\t<a class=\"e-n-menu-title-container e-focus e-link\" href=\"https:\/\/redfin.com\/news\/data-center\/downloads\/\">\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"e-n-menu-title-text\">\n\t\t\t\t\t\t\tDownloads\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t<li class=\"e-n-menu-item\">\n\t\t\t\t<div id=\"e-n-menu-title-1584\" class=\"e-n-menu-title\">\n\t\t\t\t\t<a class=\"e-n-menu-title-container e-focus e-link\" href=\"https:\/\/redfin.com\/news\/data-center\/methodology\/\">\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"e-n-menu-title-text\">\n\t\t\t\t\t\t\tMethodology\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t<\/div>\n\t\t<\/nav>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3d7ea12d e-flex e-con-boxed e-con e-parent\" data-id=\"3d7ea12d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-3875cd54 e-con-full e-flex e-con e-child\" data-id=\"3875cd54\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3b769059 elementor-widget elementor-widget-breadcrumbs\" data-id=\"3b769059\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"breadcrumbs.default\">\n\t\t\t\t\t<p id=\"breadcrumbs\"><span><span><a href=\"https:\/\/www.redfin.com\/news\/\">Home<\/a><\/span><\/span><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-67c1adf e-flex e-con-boxed e-con e-parent\" data-id=\"67c1adf\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b367900 elementor-widget elementor-widget-heading\" data-id=\"b367900\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Methodology<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c3947d0 elementor-widget elementor-widget-text-editor\" data-id=\"c3947d0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Learn about our data collection methods, metrics definitions, and publication schedule<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9003a5e elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"9003a5e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-46cbea0 elementor-widget elementor-widget-text-editor\" data-id=\"46cbea0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>For questions about the data or research collaborations, please contact <span draggable=\"true\"><a href=\"mailto:econdata@redfin.com\" target=\"_blank\" rel=\"noopener noreferrer\" aria-haspopup=\"menu\">econdata@redfin.com<\/a><\/span>.<br \/>For press inquiries, please contact <span draggable=\"true\"><a href=\"mailto:press@redifn.co\" target=\"_blank\" rel=\"noopener noreferrer\" aria-haspopup=\"menu\">press@red<\/a><\/span><span draggable=\"true\"><a href=\"http:\/\/fin.com\" target=\"_blank\" rel=\"noopener noreferrer\">fin.com<\/a><\/span>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b5ffcac e-con-full e-flex e-con e-child\" data-id=\"b5ffcac\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-80aa6ee elementor-widget elementor-widget-table-of-contents\" data-id=\"80aa6ee\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;headings_by_tags&quot;:[&quot;h3&quot;],&quot;exclude_headings_by_selector&quot;:[],&quot;marker_view&quot;:&quot;bullets&quot;,&quot;icon&quot;:{&quot;value&quot;:&quot;&quot;,&quot;library&quot;:&quot;&quot;},&quot;no_headings_message&quot;:&quot;No headings were found on this page.&quot;,&quot;min_height&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;min_height_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;min_height_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"table-of-contents.default\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-toc__header\">\n\t\t\t\t\t\t<h4 class=\"elementor-toc__header-title\">\n\t\t\t\tTable of Contents\t\t\t<\/h4>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div id=\"elementor-toc__80aa6ee\" class=\"elementor-toc__body\">\n\t\t\t<div class=\"elementor-toc__spinner-container\">\n\t\t\t\t<i class=\"elementor-toc__spinner eicon-animation-spin eicon-loading\" aria-hidden=\"true\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2e74a73 e-con-full e-flex e-con e-child\" data-id=\"2e74a73\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7e9e77a elementor-widget elementor-widget-heading\" data-id=\"7e9e77a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">2026 Data Release Calendar<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ec5dcab elementor-widget elementor-widget-text-editor\" data-id=\"ec5dcab\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Housing Market Metrics Release Schedule &#8211; Data updated at 1 pm ET<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b9b2a19 elementor-hidden-mobile elementor-widget elementor-widget-text-editor\" data-id=\"b9b2a19\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n<table id=\"tablepress-531\" class=\"tablepress tablepress-id-531\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Month<\/th><th class=\"column-2\">Release Date<\/th><th class=\"column-3\">Release Title<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">May<\/td><td class=\"column-2\">Every Thu<\/td><td class=\"column-3\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue May 12<\/td><td class=\"column-3\">Apr Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue May 12<\/td><td class=\"column-3\">Apr Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Wed May 13<\/td><td class=\"column-3\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue May 19<\/td><td class=\"column-3\">Apr Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue May 26<\/td><td class=\"column-3\">Apr Luxury, Starter<\/td>\n<\/tr>\n<tr class=\"row-8\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Wed May 27<\/td><td class=\"column-3\">Q1 All Cash\/Loan Types<\/td>\n<\/tr>\n<tr class=\"row-9\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Thu May 28<\/td><td class=\"column-3\">Q1 Investors<\/td>\n<\/tr>\n<tr class=\"row-10\">\n\t<td class=\"column-1\">June<\/td><td class=\"column-2\">Every Thu<\/td><td class=\"column-3\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-11\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Mon June 8<\/td><td class=\"column-3\">May Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-12\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue June 9<\/td><td class=\"column-3\">May Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-13\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Mon June 15<\/td><td class=\"column-3\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-14\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue June 23<\/td><td class=\"column-3\">May Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-15\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Wed June 24<\/td><td class=\"column-3\">Quarterly Migration Report<\/td>\n<\/tr>\n<tr class=\"row-16\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue June 30<\/td><td class=\"column-3\">May Luxury, Starter<\/td>\n<\/tr>\n<tr class=\"row-17\">\n\t<td class=\"column-1\">July<\/td><td class=\"column-2\">Every Thu<\/td><td class=\"column-3\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-18\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Wed July 8<\/td><td class=\"column-3\">June Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-19\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Thu July 9<\/td><td class=\"column-3\">June Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-20\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Wed July 15<\/td><td class=\"column-3\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-21\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Thu July 16<\/td><td class=\"column-3\">Q2 Affordability<\/td>\n<\/tr>\n<tr class=\"row-22\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue July 21<\/td><td class=\"column-3\">June Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-23\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue July 28<\/td><td class=\"column-3\">June Luxury, Starter<\/td>\n<\/tr>\n<tr class=\"row-24\">\n\t<td class=\"column-1\">August<\/td><td class=\"column-2\">Every Thu<\/td><td class=\"column-3\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-25\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Mon Aug 10<\/td><td class=\"column-3\">July Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-26\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue Aug 11<\/td><td class=\"column-3\">July Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-27\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Mon Aug 17<\/td><td class=\"column-3\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-28\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue Aug 18<\/td><td class=\"column-3\">July Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-29\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue Aug 25<\/td><td class=\"column-3\">July Luxury, Starter<\/td>\n<\/tr>\n<tr class=\"row-30\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Wed Aug 26<\/td><td class=\"column-3\">Q2 All Cash\/Loan Types<\/td>\n<\/tr>\n<tr class=\"row-31\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Thu Aug 27<\/td><td class=\"column-3\">Q2 Investors<\/td>\n<\/tr>\n<tr class=\"row-32\">\n\t<td class=\"column-1\">September<\/td><td class=\"column-2\">Every Thu<\/td><td class=\"column-3\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-33\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Wed Sept 9<\/td><td class=\"column-3\">Aug Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-34\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Thu Sept 10<\/td><td class=\"column-3\">Aug Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-35\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Wed Sept 16<\/td><td class=\"column-3\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-36\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue Sept 22<\/td><td class=\"column-3\">Aug Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-37\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Wed Sept 23<\/td><td class=\"column-3\">Quarterly Migration Report<\/td>\n<\/tr>\n<tr class=\"row-38\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue Sept 29<\/td><td class=\"column-3\">Aug Luxury, Starter<\/td>\n<\/tr>\n<tr class=\"row-39\">\n\t<td class=\"column-1\">October<\/td><td class=\"column-2\">Every Thu<\/td><td class=\"column-3\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-40\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Thu Oct 8<\/td><td class=\"column-3\">Sept Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-41\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue Oct 13<\/td><td class=\"column-3\">Sept Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-42\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Thu Oct 15<\/td><td class=\"column-3\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-43\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Thu Oct 15<\/td><td class=\"column-3\">Q3 Affordability<\/td>\n<\/tr>\n<tr class=\"row-44\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue Oct 20<\/td><td class=\"column-3\">Sept Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-45\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue Oct 27<\/td><td class=\"column-3\">Sept Luxury, Starter<\/td>\n<\/tr>\n<tr class=\"row-46\">\n\t<td class=\"column-1\">November<\/td><td class=\"column-2\">Every Thu<\/td><td class=\"column-3\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-47\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue Nov 10<\/td><td class=\"column-3\">Oct Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-48\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Thu Nov 12<\/td><td class=\"column-3\">Oct Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-49\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue Nov 17<\/td><td class=\"column-3\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-50\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Thu Nov 19<\/td><td class=\"column-3\">Oct Luxury, Starter<\/td>\n<\/tr>\n<tr class=\"row-51\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue Nov 24<\/td><td class=\"column-3\">Oct Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-52\">\n\t<td class=\"column-1\">December<\/td><td class=\"column-2\">Wed Dec 2<\/td><td class=\"column-3\">Q3 All Cash\/Loan Types<\/td>\n<\/tr>\n<tr class=\"row-53\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Wed Dec 2<\/td><td class=\"column-3\">Q3 Investors<\/td>\n<\/tr>\n<tr class=\"row-54\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Every Thu<\/td><td class=\"column-3\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-55\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue Dec 8<\/td><td class=\"column-3\">Nov Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-56\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Wed Dec 9<\/td><td class=\"column-3\">Nov Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-57\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue Dec 15<\/td><td class=\"column-3\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-58\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Mon Dec 21<\/td><td class=\"column-3\">Quarterly Migration Report<\/td>\n<\/tr>\n<tr class=\"row-59\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Tue Dec 22<\/td><td class=\"column-3\">Nov Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-60\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Wed Dec 30<\/td><td class=\"column-3\">Nov Luxury, Starter<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-531 from cache -->\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-87dcf99 elementor-hidden-desktop elementor-hidden-tablet elementor-widget elementor-widget-text-editor\" data-id=\"87dcf99\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n<table id=\"tablepress-532\" class=\"tablepress tablepress-id-532\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Release Date<\/th><th class=\"column-2\">Release Title<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">Every Thu<\/td><td class=\"column-2\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">Tue May 12<\/td><td class=\"column-2\">Apr Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">Tue May 12<\/td><td class=\"column-2\">Apr Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">Wed May 13<\/td><td class=\"column-2\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">Tue May 19<\/td><td class=\"column-2\">Apr Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\">Tue May 26<\/td><td class=\"column-2\">Apr Luxury, Starter<\/td>\n<\/tr>\n<tr class=\"row-8\">\n\t<td class=\"column-1\">Wed May 27<\/td><td class=\"column-2\">Q1 All Cash\/Loan Types<\/td>\n<\/tr>\n<tr class=\"row-9\">\n\t<td class=\"column-1\">Thu May 28<\/td><td class=\"column-2\">Q1 Investors<\/td>\n<\/tr>\n<tr class=\"row-10\">\n\t<td class=\"column-1\">Every Thu<\/td><td class=\"column-2\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-11\">\n\t<td class=\"column-1\">Mon June 8<\/td><td class=\"column-2\">May Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-12\">\n\t<td class=\"column-1\">Tue June 9<\/td><td class=\"column-2\">May Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-13\">\n\t<td class=\"column-1\">Mon June 15<\/td><td class=\"column-2\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-14\">\n\t<td class=\"column-1\">Tue June 23<\/td><td class=\"column-2\">May Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-15\">\n\t<td class=\"column-1\">Wed June 24<\/td><td class=\"column-2\">Quarterly Migration Report<\/td>\n<\/tr>\n<tr class=\"row-16\">\n\t<td class=\"column-1\">Tue June 30<\/td><td class=\"column-2\">May Luxury, Starter<\/td>\n<\/tr>\n<tr class=\"row-17\">\n\t<td class=\"column-1\">Every Thu<\/td><td class=\"column-2\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-18\">\n\t<td class=\"column-1\">Wed July 8<\/td><td class=\"column-2\">June Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-19\">\n\t<td class=\"column-1\">Thu July 9<\/td><td class=\"column-2\">June Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-20\">\n\t<td class=\"column-1\">Wed July 15<\/td><td class=\"column-2\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-21\">\n\t<td class=\"column-1\">Thu July 16<\/td><td class=\"column-2\">Q2 Affordability<\/td>\n<\/tr>\n<tr class=\"row-22\">\n\t<td class=\"column-1\">Tue July 21<\/td><td class=\"column-2\">June Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-23\">\n\t<td class=\"column-1\">Tue July 28<\/td><td class=\"column-2\">June Luxury, Starter<\/td>\n<\/tr>\n<tr class=\"row-24\">\n\t<td class=\"column-1\">Every Thu<\/td><td class=\"column-2\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-25\">\n\t<td class=\"column-1\">Mon Aug 10<\/td><td class=\"column-2\">July Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-26\">\n\t<td class=\"column-1\">Tue Aug 11<\/td><td class=\"column-2\">July Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-27\">\n\t<td class=\"column-1\">Mon Aug 17<\/td><td class=\"column-2\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-28\">\n\t<td class=\"column-1\">Tue Aug 18<\/td><td class=\"column-2\">July Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-29\">\n\t<td class=\"column-1\">Tue Aug 25<\/td><td class=\"column-2\">July Luxury, Starter<\/td>\n<\/tr>\n<tr class=\"row-30\">\n\t<td class=\"column-1\">Wed Aug 26<\/td><td class=\"column-2\">Q2 All Cash\/Loan Types<\/td>\n<\/tr>\n<tr class=\"row-31\">\n\t<td class=\"column-1\">Thu Aug 27<\/td><td class=\"column-2\">Q2 Investors<\/td>\n<\/tr>\n<tr class=\"row-32\">\n\t<td class=\"column-1\">Every Thu<\/td><td class=\"column-2\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-33\">\n\t<td class=\"column-1\">Wed Sept 9<\/td><td class=\"column-2\">Aug Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-34\">\n\t<td class=\"column-1\">Thu Sept 10<\/td><td class=\"column-2\">Aug Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-35\">\n\t<td class=\"column-1\">Wed Sept 16<\/td><td class=\"column-2\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-36\">\n\t<td class=\"column-1\">Tue Sept 22<\/td><td class=\"column-2\">Aug Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-37\">\n\t<td class=\"column-1\">Wed Sept 23<\/td><td class=\"column-2\">Quarterly Migration Report<\/td>\n<\/tr>\n<tr class=\"row-38\">\n\t<td class=\"column-1\">Tue Sept 29<\/td><td class=\"column-2\">Aug Luxury, Starter<\/td>\n<\/tr>\n<tr class=\"row-39\">\n\t<td class=\"column-1\">Every Thu<\/td><td class=\"column-2\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-40\">\n\t<td class=\"column-1\">Thu Oct 8<\/td><td class=\"column-2\">Sept Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-41\">\n\t<td class=\"column-1\">Tue Oct 13<\/td><td class=\"column-2\">Sept Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-42\">\n\t<td class=\"column-1\">Thu Oct 15<\/td><td class=\"column-2\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-43\">\n\t<td class=\"column-1\">Thu Oct 15<\/td><td class=\"column-2\">Q3 Affordability<\/td>\n<\/tr>\n<tr class=\"row-44\">\n\t<td class=\"column-1\">Tue Oct 20<\/td><td class=\"column-2\">Sept Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-45\">\n\t<td class=\"column-1\">Tue Oct 27<\/td><td class=\"column-2\">Sept Luxury, Starter<\/td>\n<\/tr>\n<tr class=\"row-46\">\n\t<td class=\"column-1\">Every Thu<\/td><td class=\"column-2\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-47\">\n\t<td class=\"column-1\">Tue Nov 10<\/td><td class=\"column-2\">Oct Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-48\">\n\t<td class=\"column-1\">Thu Nov 12<\/td><td class=\"column-2\">Oct Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-49\">\n\t<td class=\"column-1\">Tue Nov 17<\/td><td class=\"column-2\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-50\">\n\t<td class=\"column-1\">Thu Nov 19<\/td><td class=\"column-2\">Oct Luxury, Starter<\/td>\n<\/tr>\n<tr class=\"row-51\">\n\t<td class=\"column-1\">Tue Nov 24<\/td><td class=\"column-2\">Oct Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-52\">\n\t<td class=\"column-1\">Wed Dec 2<\/td><td class=\"column-2\">Q3 All Cash\/Loan Types<\/td>\n<\/tr>\n<tr class=\"row-53\">\n\t<td class=\"column-1\">Wed Dec 2<\/td><td class=\"column-2\">Q3 Investors<\/td>\n<\/tr>\n<tr class=\"row-54\">\n\t<td class=\"column-1\">Every Thu<\/td><td class=\"column-2\">Weekly Market Tracker<\/td>\n<\/tr>\n<tr class=\"row-55\">\n\t<td class=\"column-1\">Tue Dec 8<\/td><td class=\"column-2\">Nov Market Tracker\/EHS<\/td>\n<\/tr>\n<tr class=\"row-56\">\n\t<td class=\"column-1\">Wed Dec 9<\/td><td class=\"column-2\">Nov Buyers\/Sellers<\/td>\n<\/tr>\n<tr class=\"row-57\">\n\t<td class=\"column-1\">Tue Dec 15<\/td><td class=\"column-2\">Contract cancellations, price drops, delistings\/relistings<\/td>\n<\/tr>\n<tr class=\"row-58\">\n\t<td class=\"column-1\">Mon Dec 21<\/td><td class=\"column-2\">Quarterly Migration Report<\/td>\n<\/tr>\n<tr class=\"row-59\">\n\t<td class=\"column-1\">Tue Dec 22<\/td><td class=\"column-2\">Nov Redfin Home Price Index<\/td>\n<\/tr>\n<tr class=\"row-60\">\n\t<td class=\"column-1\">Wed Dec 30<\/td><td class=\"column-2\">Nov Luxury, Starter<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-532 from cache -->\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c75001e e-con-full e-flex e-con e-child\" data-id=\"c75001e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-68d0539 elementor-widget elementor-widget-heading\" data-id=\"68d0539\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"housing_market\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Housing Market Tracker: Weekly &amp; Monthly<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8a25c5d elementor-widget elementor-widget-text-editor\" data-id=\"8a25c5d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The Housing Market Tracker is Redfin\u2019s most comprehensive data product, offering a detailed snapshot of U.S. residential real estate activity. It covers the full lifecycle of a home sale\u2014from initial listing through closing\u2014and provides the underlying data for many of Redfin\u2019s housing market reports. It is updated on both a weekly and monthly cadence.<\/span><\/p><h4><strong>What We Measure<\/strong><\/h4><p><span style=\"font-weight: 400;\">The tracker monitors roughly 40 metrics spanning sales, listings, prices, and time on market. A full list of metrics and their definitions is available in the Data Center Metric Definitions.<\/span><\/p><p><span style=\"font-weight: 400;\">For each metric, users can view the raw metric, year-over-year changes and, where applicable, month-over-month or week-over-week changes. For rates and shares (e.g., sale-to-list-price ratio, share sold above list), changes are expressed as percentage-point differences rather than percent changes.<\/span><\/p><h4><strong>Weekly vs. Monthly Data<\/strong><\/h4><p><span style=\"font-weight: 400;\">Our weekly dataset covers rolling four-week (28-day) windows. Aggregating over four weeks provides more stable <\/span><span style=\"font-weight: 400;\">values<\/span><span style=\"font-weight: 400;\"> particularly for smaller markets. Year-over-year comparisons look back exactly 52 weeks to preserve alignment.<\/span><\/p><p><span style=\"font-weight: 400;\">For major geographies\u2014national, states and metro areas\u2014monthly data follows standard calendar months. For smaller geographies\u2014cities, zip codes, and neighborhoods\u2014we aggregate over rolling three-month windows to ensure adequate sample sizes.<\/span><\/p><h4><strong>Coverage<\/strong><\/h4><p><span style=\"font-weight: 400;\">Monthly and weekly data are published for a national aggregate and metropolitan areas. Metropolitan areas are defined consistently with the U.S. Office of Management and Budget metropolitan divisions where they exist, and metropolitan statistical areas (MSAs) elsewhere, with a few exceptions.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Monthly data extends to a broader set of geographies as well: neighborhoods, zip codes, cities, counties, and states.<\/span><\/p><p><span style=\"font-weight: 400;\">All metrics cover residential properties: single family, condo\/co-op, townhouse, and multi-family (2-4 unit).<\/span><\/p><p>\u00a0<\/p><h4><strong>Data Revisions<\/strong><\/h4><p><span style=\"font-weight: 400;\">Housing transaction data arrives with a lag\u2014not all closings, listing updates, and status changes are recorded or reported immediately. We address this delay in two ways:\u00a0<\/span><\/p><ol><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Revisions<\/span> <span style=\"font-weight: 400;\">for all historical estimates based on <\/span><i><span style=\"font-weight: 400;\">actual<\/span><\/i><span style=\"font-weight: 400;\">, new information<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Small adjustments<\/span> <span style=\"font-weight: 400;\">of the most recent estimates to reflect <\/span><i><span style=\"font-weight: 400;\">expected<\/span><\/i><span style=\"font-weight: 400;\">, future revisions<\/span><\/li><\/ol><p><span style=\"font-weight: 400;\">For all historical estimates we continuously revise our estimates if and when any new information arrives. Typically, periods more than several months in the past will have very limited revisions, as most transaction data will have been received and incorporated.<\/span><\/p><p><span style=\"font-weight: 400;\">For the most recent month or four-week period, because we can anticipate how data are likely to be revised, we pre-emptively adjust our estimates to account for these expected revisions. This adjustment allows us to report without delay on the most recent periods. For example, if past patterns show that 5% additional home sales are typically reported after a month closes, we increase our estimate of the past month\u2019s home sales by 5% on day one of the following period. As more time passes the expected shortfall shrinks, so these adjustments get smaller every day. After this curing window of about four weeks, all metrics are published without any such adjustment. Most adjustments are small; for example, most national metrics are adjusted by less than 2% two weeks into the curing window.<\/span><\/p><p><span style=\"font-weight: 400;\">Unless otherwise noted, all estimates that are derived from Redfin\u2019s Housing Market Tracker are subject to these revisions and adjustments as well.<\/span><\/p><h4><strong>Seasonal Adjustment<\/strong><\/h4><p><span style=\"font-weight: 400;\">Housing market activity follows strong seasonal patterns\u2014listings surge in spring, sales peak in summer, and the market quiets in winter. Seasonal adjustment removes these predictable patterns so that <\/span><span style=\"font-weight: 400;\">month-over-month and week-over-week<\/span><span style=\"font-weight: 400;\"> changes reveal genuine shifts in market conditions.<\/span><\/p><p><span style=\"font-weight: 400;\">For monthly data, we use X-13ARIMA-SEATS, the seasonal adjustment framework developed by the U.S. Census Bureau and used by the Bureau of Labor Statistics, the Federal Reserve, and most major economic statistical agencies. The model automatically selects the best-fitting ARIMA specification for each time series, accounts for trading-day effects, adjusts for month length (including leap years), and captures holiday effects such as Easter.<\/span><\/p><p><span style=\"font-weight: 400;\">We run the adjustment separately for each combination of metric and region. Each series requires at least three years of continuous data. Seasonal factors are re-estimated with each data update, so the full history may shift slightly as new observations refine the models.<\/span><\/p><p><span style=\"font-weight: 400;\">X-13ARIMA-SEATS is designed for monthly or quarterly frequencies and does not natively handle weekly frequency. For key weekly metrics\u2014new listings, pending sales, active listings, and median new listing price\u2014we use Bayesian Structural Time Series (BSTS) models instead.<\/span><\/p><p><span style=\"font-weight: 400;\">Each BSTS model decomposes a weekly series into three parts: a trend, a 52-week seasonal component that evolves gradually over time, and holiday effects. Following Bureau of Labor Statistics practice, we fit these models once per year and freeze the seasonal factors for the coming year. The seasonal component is then divided out (for count and price metrics) or subtracted (for inventory levels) to produce a seasonally adjusted series.<\/span><\/p><p><span style=\"font-weight: 400;\">The remaining weekly metrics\u2014such as sale-to-list-price ratio, days on market, and share sold above list\u2014are published without seasonal adjustment because their seasonal patterns are less pronounced.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-81079f5 e-con-full e-flex e-con e-child\" data-id=\"81079f5\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-60a5512 elementor-widget elementor-widget-heading\" data-id=\"60a5512\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"buyers_and_sellers\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Balance of Power: Buyers and Sellers<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4e9532a elementor-widget elementor-widget-text-editor\" data-id=\"4e9532a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The balance between buyers and sellers is an important driver of how long it takes to buy or sell a home, bargaining power between each side, and home prices.<\/span><\/p><p><span style=\"font-weight: 400;\">The number of active sellers in the housing market is simply the number of homes listed for sale over a given period. There is no equivalent public data source for the number of active buyers. As such, we use a model to estimate the number of active buyers by combining publicly available MLS data with Redfin&#8217;s proprietary data on how long buyers spend searching for a home in each metro area. Our model estimates the number of buyers and sellers in the U.S. housing market <\/span><i><span style=\"font-weight: 400;\">as a whole<\/span><\/i><span style=\"font-weight: 400;\"> \u2014 not just the number using Redfin as their brokerage or real estate platform.<\/span><\/p><h4><strong>Our Approach<\/strong><\/h4><p><span style=\"font-weight: 400;\">We apply a standard economic framework used by economists to understand how homebuyers and sellers \u201cmatch\u201d with one another: When buyers and sellers are searching for each other, the ease with which each side finds a match depends on how many people are on the other side. If there are many buyers and few sellers, sellers match quickly and buyers have to search longer. If there are many sellers and few buyers, the reverse is true. With information on how quickly buyers find homes and how quickly listed homes sell, we can infer how many buyers on average were in the market over a given period.<\/span><\/p><p><b>What&#8217;s novel about the data<\/b><span style=\"font-weight: 400;\">: Our method uses Redfin data on thousands of actual buyers\u2019 search behavior to estimate how long buyers search in each metro area, each month\u2014capturing local differences in buyer behavior over time across the country.<\/span><\/p><h4><strong>What We Report<\/strong><\/h4><p><span style=\"font-weight: 400;\">We report the following metrics on a monthly basis for the following regions: National, Census Regions, and Top 50 metro areas. We also report these numbers by several property types\u2013single family, condo\/co-op, and townhouse. All metrics are seasonally-adjusted.<\/span><\/p><table><tbody><tr><td><p><b>Metric<\/b><\/p><\/td><td><p><b>Definition<\/b><\/p><\/td><td><p><b>Calculation<\/b><\/p><\/td><\/tr><tr><td><p><b>Buyers<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">The number of buyers in the market over a given period<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Redfin Buyers and Sellers Model Estimate<\/span><\/p><\/td><\/tr><tr><td><p><b>Sellers<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">The number of sellers in the market over a given period<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Redfin estimate of active listings from MLS data<\/span><\/p><\/td><\/tr><tr><td><p><b>Balance of Power<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">Whether the market is a Buyer\u2019s Market, Seller\u2019s Market, or Balanced<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Percentage gap between buyers and sellers<\/span><\/p><\/td><\/tr><tr><td><p><b>Seller-Buyer % Difference<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">Percentage gap between buyers and sellers<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">(Sellers \/ Buyers &#8211; 1) x 100%<\/span><\/p><\/td><\/tr><tr><td><p><b>Buyer-Seller Ratio<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">Ratio of buyers and sellers<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Buyers \/ Sellers<\/span><\/p><\/td><\/tr><\/tbody><\/table><h4><span style=\"font-size: 18px; font-weight: 400; color: #333333;\">We classify markets based on the balance of buyers to sellers: a seller&#8217;s market has roughly 90 or fewer sellers per 100 buyers, a buyer&#8217;s market has roughly 110 or more, and a balanced market falls in between.<\/span><\/h4><h4><strong>How To Use These Data<\/strong><\/h4><p><b>Identifying buyer&#8217;s and seller&#8217;s markets.<\/b><span style=\"font-weight: 400;\"> The ratio of buyers to sellers provides a direct read on market conditions at the national, regional, and metro level. <\/span><span style=\"font-weight: 400;\">Nationally, we estimate the long-run average number of buyers and sellers is roughly equal, but with buyer\u2019s or seller\u2019s markets occurring 30-40% of the time.<\/span><\/p><p><b>Forecasting home price growth and days on market.<\/b><span style=\"font-weight: 400;\"> Shifts in the balance of buyers and sellers tend to foreshadow changes in home prices and marketing time. A rising number of buyers relative to sellers can signal upward pressure on price growth and lower time on market for sellers, while a falling number of buyers relative to sellers can signal the reverse.<\/span><\/p><p><b>Understanding local market structure.<\/b><span style=\"font-weight: 400;\"> Some markets show a persistently elevated number of buyers for each seller, while others show the opposite. These patterns can indicate structural imbalances driven by population growth, housing development, or characteristics of the local housing stock that create frictions\u2013making it more or less difficult for buyers to navigate the housing market.<\/span><\/p><p><b>An improvement over months of supply.<\/b><span style=\"font-weight: 400;\"> Months of supply\u2014a commonly used measure of market balance\u2014is calculated as inventory divided by the pace of sales. It is useful, but only captures the seller&#8217;s side of the market. A decline in months of supply could mean buyers are surging or sellers are pulling back\u2014two very different stories. Our measure of buyers and sellers separates these dynamics by estimating both sides independently.<\/span><\/p><h4><strong>How We Estimate the Number of Buyers<\/strong><\/h4><p><b>A Simple Coffee-Shop Analogy<\/b><\/p><p><span style=\"font-weight: 400;\">Suppose you are standing outside a coffee shop and would like to know how many customers are currently inside. With only two pieces of information, you could estimate the answer without entering and manually counting them:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How long each customer spends, on average, inside the store<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How many customers leave the store every hour<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">For example, suppose each customer spends an average of 15 minutes in the store, and 40 customers leave every hour. Then there must be about 10 customers inside at any given time. (15 minutes \u00d7 40 customers per hour \u00f7 60 minutes = 10 customers.)<\/span><\/p><p><span style=\"font-weight: 400;\">If a surge of customers enters the store, the average time each customer spends inside should increase as lines grow and open seats become scarce. Based on this increase in waiting time you could infer, without needing to count the buyers as they entered, how much the number of customers inside at any given time has grown.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Our method relies on a similar logic. In the housing market, we observe how many homes sell each month and how long buyers spend searching, and from these we estimate the number of active buyers. The key difference from the coffee shop is that the housing market is two-sided: both buyers and sellers are searching for a match, and the ease with which each side matches depends on how many people are on the other side. This two-sided structure is what makes the balance of buyers and sellers relevant for bargaining power and market outcomes such as prices and time on market.<\/span><\/p><p><b>Calculating the Number of Buyers<\/b><\/p><p><span style=\"font-weight: 400;\">Our estimate of the number of buyers rests on three inputs:<\/span><\/p><table><tbody><tr><td><p><b>Input<\/b><\/p><\/td><td><p><b>What it helps capture<\/b><\/p><\/td><td><p><b>Source<\/b><\/p><\/td><\/tr><tr><td><p><b>Active listings<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">The number of sellers currently in the market<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">MLS data<\/span><\/p><\/td><\/tr><tr><td><p><b>Sales<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">The number of successful matches between buyers and sellers<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">MLS data (when homes go under contract)<\/span><\/p><\/td><\/tr><tr><td><p><b>Median buyer search time<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">The probability a given buyer finds a home in a given month<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Redfin proprietary data<\/span><\/p><\/td><\/tr><\/tbody><\/table><p><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">The first two are derived from public MLS data. The third\u2014buyer search time\u2014is where Redfin&#8217;s proprietary data provides a unique contribution. We measure the time from a buyer&#8217;s first home tour to closing, which corresponds to the period of most active search. We use a standard statistical model (an exponential distribution) to convert median buyer search time into a monthly buyer match rate.<\/span><\/p><p><span style=\"font-weight: 400;\">Our model implies a simple relationship between these three inputs:\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Number of Buyers = (Seller Match Rate \u00f7 Buyer Match Rate) \u00d7 Number of Sellers<\/span><\/p><h4><strong>Economic Framework and Assumptions<\/strong><\/h4><p><span style=\"font-weight: 400;\">Our model is based on an economic framework commonly used by researchers to estimate the balance of buyers and sellers in the market. We provide detail below on the quality of our data and how our model and its assumptions fit into the body of research on this topic.<\/span><\/p><p><b>Redfin\u2019s estimate of median buyer search time is broadly representative of the market: <\/b><span style=\"font-weight: 400;\">Redfin is one of the largest residential real estate brokerages in the United States, with tens of thousands of buyers purchasing homes with Redfin Agents each year. For each region, we use a rolling measure of buyer search time to smooth out noise and ensure sufficient sample size. As a source of external validation, our estimate of the national average buyer search time is similar to the national values reported in the NAR\u2019s annual Profile of Home Buyers and Sellers. For example, the NAR reports the median buyer in 2024 searched for 10 weeks; we estimate a median buyer search time of approximately 9 weeks in 2024.<\/span><\/p><p><b>The speed at which buyers find homes can be used to infer the number of active buyers in the market: <\/b><span style=\"font-weight: 400;\">We use median buyer search time, or the <\/span><i><span style=\"font-weight: 400;\">speed<\/span><\/i><span style=\"font-weight: 400;\"> at which the typical buyer moves through the market, to estimate the <\/span><i><span style=\"font-weight: 400;\">rate<\/span><\/i><span style=\"font-weight: 400;\"> at which existing buyers are finding homes. To do so, we make the simplifying assumption that the amount of time a buyer spends searching follows an exponential distribution, which allows us to estimate the buyer match rate using median time on market. This assumption is intended to capture the average rate of exit of successful buyers through the market.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><b>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Observed buyer search times reflect market-wide congestion and other frictions, including from buyers who ultimately do not complete a purchase: <\/b><span style=\"font-weight: 400;\">Our estimate of median buyer search time is based on Redfin buyers who successfully closed a deal. However, even buyers who ultimately withdraw without purchasing a home can contribute meaningful frictions to the housing market, such as buyers who have an offer accepted but fail to close. A market with more active buyers increases the time it takes for any individual buyer to find a home. Because the amount of time successful buyers spend in the market reflects this congestion, median buyer time on market serves as a signal of overall market balance (or \u201ctightness\u201d). We therefore interpret our measure of active buyers as the total number of effective buyers contributing to tightness in the market.<\/span><\/p><p><b>Relationship to the academic literature:<\/b><span style=\"font-weight: 400;\"> Our approach follows the standard method of inferring the unobserved stock of active buyers from observable market data using a search and matching framework. Studies such as Anenberg and Ringo (2024) and Gabrovski and Ortego-Marti (2024) estimate the number of buyers indirectly from the seller side, using the rate at which listed homes sell and an assumed matching function elasticity to infer how many buyers must be in the market. Because we observe buyer search duration directly from Redfin tour data \u2013 conceptually the same measure as the NAR survey-based buyer time on market used by Genesove and Han (2012) \u2013 we take a more direct approach: we compute the buyer match rate from median buyer time on market and estimate the buyer stock as sales divided by this rate. This avoids the need to specify a matching function or calibrate its elasticity. As in Anenberg and Ringo (2024) we assume that buyer search time follows an exponential distribution. Finally, our approach to calling buyers and sellers markets is motivated by the empirical relationships between market tightness and home sales and price growth documented by Anenberg and Ringo (2024) and Carrillo, de Wit, and Larson (2015).<\/span><\/p><h4><strong>References<\/strong><\/h4><p><span style=\"font-weight: 400;\">Anenberg, Elliot and Daniel Ringo, \u201cVolatility in Home Sales and Prices: Supply or Demand?\u201d <\/span><i><span style=\"font-weight: 400;\">Journal of Urban Economics<\/span><\/i><span style=\"font-weight: 400;\">, January 2024, Vol. 139.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Carrillo, Paul E., Eric R. de Wit, and William Larson, \u201cCan Tightness in the Housing Market Help Predict Subsequent Home Price Appreciation? Evidence from the United States and the Netherlands,\u201d <\/span><i><span style=\"font-weight: 400;\">Real Estate Economics, <\/span><\/i><span style=\"font-weight: 400;\">January 2015,<\/span> <span style=\"font-weight: 400;\">Vol. 43, No. 3, pp. 609-651.<\/span><\/p><p><span style=\"font-weight: 400;\">Gabrovski, Miroslav and Victor Ortego-Marti, &#8220;On the Slope of the Beveridge Curve in the Housing Market,&#8221; <\/span><i><span style=\"font-weight: 400;\">Economics Bulletin<\/span><\/i><span style=\"font-weight: 400;\">, AccessEcon, 2024, Vol. 44, No. 3, pp. 948-960.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">Genesove, David and Lu Han, \u201cSearch and Matching in the Housing Market,\u201d <\/span><i><span style=\"font-weight: 400;\">Journal of Urban Economics<\/span><\/i><span style=\"font-weight: 400;\">, July 2012, Vol. 72, No. 1, pp. 21-45.<\/span><\/p><p><span style=\"font-weight: 400;\">National Association of Realtors, \u201cProfile of Home Buyers and Sellers: 2024,\u201d <\/span><a href=\"http:\/\/www.nar.realtor\"><i><span style=\"font-weight: 400;\">www.nar.realtor<\/span><\/i><\/a><span style=\"font-weight: 400;\">, November 2024, accessed April 2026, available at <\/span><a href=\"https:\/\/www.nar.realtor\/sites\/default\/files\/2024-11\/2024-profile-of-home-buyers-and-sellers-highlights-11-04-2024_2.pdf?utm\"><span style=\"font-weight: 400;\">https:\/\/www.nar.realtor\/sites\/default\/files\/2024-11\/2024-profile-of-home-buyers-and-sellers-highlights-11-04-2024_2.pdf?utm<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c7d17f4 e-con-full e-flex e-con e-child\" data-id=\"c7d17f4\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1ed6fcc elementor-widget elementor-widget-heading\" data-id=\"1ed6fcc\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"starter_home\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Price Tiers: Luxury versus Non-Luxury Home Markets; Starter Home Market<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5b5debf elementor-widget elementor-widget-text-editor\" data-id=\"5b5debf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The housing market doesn&#8217;t move in lockstep across price points. Luxury homes often experience different demand patterns, price trends, and inventory dynamics than starter homes or mid-market properties. To capture these differences, Redfin segments the market into price tiers that reflect local affordability nuances.<\/span><\/p><h4><strong>The Three Key Market Segments<\/strong><\/h4><p><span style=\"font-weight: 400;\">We focus on three price segments:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Starter homes<\/b><span style=\"font-weight: 400;\"> are properties with prices in the 5th-35th percentile of their local market\u2019s price range. These serve as a proxy for the entry-level market where first-time buyers, young families, and cost-conscious purchasers compete. We exclude the bottom 5% to filter out outliers like distressed sales or unusual property types that don&#8217;t reflect typical starter inventory.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Non-luxury (mid-market) homes<\/b><span style=\"font-weight: 400;\"> are properties with prices in the 35th-65th percentile. This middle tier represents the core of the market where move-up buyers and established homeowners typically shop.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Luxury homes<\/b><span style=\"font-weight: 400;\"> are properties with prices at or above the 95th percentile, or the top 5% of the market. These high-end sales often behave differently from the broader market, driven by discretionary budgets and distinct buyer demographics.<\/span><\/li><\/ul><h4><strong>Why We Use Percentiles, Not Dollar Thresholds<\/strong><\/h4><p><span style=\"font-weight: 400;\">A $800,000 home is entry-level in San Francisco but luxury in Cleveland. Rather than applying the same dollar cutoffs everywhere, we define price segments relative to each local market using percentiles. This approach ensures that &#8220;luxury&#8221; always means the same thing\u2014the most expensive homes in that specific metro\u2014whether we&#8217;re analyzing New York or Nashville.<\/span><\/p><h4><strong>How We Calculate Local Price Thresholds<\/strong><\/h4><p><span style=\"font-weight: 400;\">Each month, we calculate percentile cutoffs specific to each metropolitan area by analyzing home sales over the prior 12 months. This rolling 12-month window ensures our thresholds adapt to recent market conditions\u2014rising when prices surge and falling when they decline\u2014while remaining stable enough to avoid wild month-to-month swings from small sample sizes.<\/span><\/p><p><span style=\"font-weight: 400;\">We use the property&#8217;s sale price when available, or its list price if it hasn&#8217;t sold yet, to determine where it falls in the distribution. For each metro and month, we identify four key percentiles: the 5th, 35th, 65th, and 95th. These thresholds are then applied to classify market activity in the following month into their respective price buckets. For example, if a metro&#8217;s 95th percentile threshold for March is $1.2 million (based on sales from March last year through February this year), then any home listed, sold, or sitting on the market in March with a price at or above $1.2 million is classified as luxury.<\/span><\/p><h4><strong>Smoothing for Clearer Trends<\/strong><\/h4><p><span style=\"font-weight: 400;\">To reduce month-to-month noise and provide clearer trend lines, metrics are reported in rolling three-month periods. This smoothing adjustment is especially important for smaller metros or thinner market segments like luxury.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1cc441c e-con-full e-flex e-con e-child\" data-id=\"1cc441c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-16569ba elementor-widget elementor-widget-heading\" data-id=\"16569ba\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"price_drops\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Price Drops<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d53072a elementor-widget elementor-widget-text-editor\" data-id=\"d53072a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">When a home lingers on the market or market conditions soften, sellers often reduce their asking price. Rising price drop activity generally signals that sellers are having trouble finding buyers at their asking prices\u2014a leading indicator that price growth may be slowing.<\/span><\/p><h4><strong>What Counts as a Price Drop<\/strong><\/h4><p><span style=\"font-weight: 400;\">Our measure of price drops is the number of active listings that reduce their list price within a given period. A price drop is recorded when a seller reduces the asking price of an active listing by at least 1% but no more than 50%. The percentage floor filters out trivial rounding adjustments, while the ceiling excludes likely data errors. This measure of price drops does not include cases where the sale price is less than the final list price.<\/span><\/p><h4><strong>What We Report<\/strong><\/h4><p><span style=\"font-weight: 400;\">We report \u201cprice drops\u201d as the number of active listings that have had at least one price drop in a given period. To put this number in context, we also report price drops as a share of active listings, or price drops divided by the number of active listings. We also report the average size of price drops, which is the average magnitude of each price drop over a given period measured as the change in list price as a percentage of the old price. Finally, we report the percent of homes sold with a price drop, which reflects whether homes sold have had any price drops over their listing history, as reflected by a final list price at least 1% below the original list price.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9ed1b9b e-con-full e-flex e-con e-child\" data-id=\"9ed1b9b\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3831591 elementor-widget elementor-widget-heading\" data-id=\"3831591\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"contract_cancellations\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Home Purchase Cancellations<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b09371e elementor-widget elementor-widget-text-editor\" data-id=\"b09371e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">A contract cancellation occurs when a purchase agreement is cancelled after the seller has accepted an offer and the home returns to the market for sale. Tracking cancellations reveals how often deals fall apart after a buyer goes under contract, which can signal financing difficulties, appraisal shortfalls, inspection issues, or shifting buyer sentiment.<\/span><\/p><h4><strong>How We Identify Cancellations<\/strong><\/h4><p><span style=\"font-weight: 400;\">We monitor every listing\u2019s sales status on the MLS. When a listing transitions from being under contract, such as pending or contingent status, back to active status, we count it as a cancellation; the buyer had their offer accepted, but the transaction fell apart and the property is again available for sale.<\/span><\/p><p><span style=\"font-weight: 400;\">The cancellation rate is calculated by dividing the number of these contract cancellations by the total number of homes that went under contract during the same period.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8821c01 e-con-full e-flex e-con e-child\" data-id=\"8821c01\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-db747ff elementor-widget elementor-widget-heading\" data-id=\"db747ff\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"delistings_relistings\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Home Delistings &amp; Relistings<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8523de5 elementor-widget elementor-widget-text-editor\" data-id=\"8523de5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Not every listing ends in a sale. Some sellers withdraw their homes from the market (delist), only to return weeks or months later (relist). Tracking these events reveals seller sentiment: A surge in delistings can signal sellers pulling back in unfavorable conditions, while rising relistings suggest renewed optimism or urgency.<\/span><\/p><h4><strong>How We Define Delistings and Relistings<\/strong><\/h4><p><span style=\"font-weight: 400;\">A delisting occurs when an active listing is removed from the market without a sale. We exclude temporary withdrawals (homes that return to market within 31 days of delisting).\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">A relisting is counted when a delisted home returns to active status. Only relistings within 365 days of the original delisting, measured from the date of the delisting, are included.<\/span><\/p><h4><strong>Data Quality<\/strong><\/h4><p><span style=\"font-weight: 400;\">A delisting must follow a period of genuine active marketing. We verify that no other listing for the same property is simultaneously active (which would indicate a new MLS number rather than a true withdrawal) and exclude properties that sold shortly after an apparent delisting. A delisting may also be revised if the property is reported as sold within 365 days without having first been relisted.<\/span><\/p><h4><strong>What We Report<\/strong><\/h4><p><span style=\"font-weight: 400;\">We report delisting and relisting counts, both as raw numbers and as a share of active listings. We also report median time from first listing to delisting and median time from delisting to relisting. Metrics are available at all Housing Market Tracker geographies on both weekly and monthly frequencies. Data begins in 2016; earlier periods are excluded due to incomplete listing-history records.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-72a71c6 e-con-full e-flex e-con e-child\" data-id=\"72a71c6\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4d76534 elementor-widget elementor-widget-heading\" data-id=\"4d76534\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"investors\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Investor Home Purchases<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1b9e8e8 elementor-widget elementor-widget-text-editor\" data-id=\"1b9e8e8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Investor activity\u2014from small landlords and house flippers to large institutional buyers\u2014can provide insight into where professional market participants see opportunity, how investment is shaping local housing markets, and the degree to which investor demand may be competing with traditional homebuyers.<\/span><\/p><h4><strong>How We Identify Investors<\/strong><\/h4><p><span style=\"font-weight: 400;\">We classify a home purchase as an investor transaction based on the buyer\u2019s identity in public county records. A buyer is flagged as an investor if the purchasing entity is a corporation, LLC, partnership, or other non-individual entity\u2014identified either as a corporate owner by our public record data providers or by entity name (containing the terms LLC, Inc., Corp., Trust, or Homes).<\/span><\/p><p><span style=\"font-weight: 400;\">This approach intentionally casts a wide net. It can capture large institutional buyers and individual landlords operating through an LLC. As such, it may include non-investor entities such as family trusts and may exclude investors who purchase under personal names.<\/span><\/p><h4><strong>Coverage<\/strong><\/h4><p><span style=\"font-weight: 400;\">We track investor purchase counts and investor market share: investor purchases as a percentage of total home purchases. Investor metrics are published quarterly for the nation and the 50 most populous metropolitan areas, except where county-record data quality or non-disclosure laws prevent reliable identification. These data include single family, condo\/co-op, townhouse, and mutli-family (2-4 unit) properties. Purchase data is available from 2000 onward while listing-based metrics are available from 2012 onward.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c236340 e-con-full e-flex e-con e-child\" data-id=\"c236340\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d69aba9 elementor-widget elementor-widget-heading\" data-id=\"d69aba9\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"rhpi\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Redfin Home Price Index (RHPI): Methodology<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6c8a59b elementor-widget elementor-widget-text-editor\" data-id=\"6c8a59b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The most common way to track home prices \u2014 the median sale price in a given period \u2014 can be misleading. It reflects which homes happened to sell, not how home values are actually changing. A different mix of homes on the market can push the median up or down even without any home gaining or losing value. A surge of new construction, which tends to be higher-priced than existing homes, could make it seem prices are rising even if the average home is losing value. To see how home values are actually changing, we need an approach that holds the mix of homes sold constant.<\/span><\/p><h4><strong>What Is the RHPI?<\/strong><\/h4><p><span style=\"font-weight: 400;\">The RHPI is a repeat-sales home price index. It is based on homes that have sold more than once and measures how each home&#8217;s price changed between sales \u2014 capturing the price changes experienced by individual homeowners. A statistical model combines these pairs to estimate a single price level for each month, nationally and by metro. The price level is expressed as an index to illustrate changes in the price level over time. For example, if the index for an area grows from 100 to 110, that means home values in that area grew on average by 10%.<\/span><\/p><p><span style=\"font-weight: 400;\">The RHPI is constructed using a real-time MLS feed, which allows it to update more frequently than other repeat-sale indexes, such as the S&amp;P Cotality Case-Shiller Home Price Indices and the FHFA Home Price Index. Redfin\u2019s RHPI also differs from other repeat-sales indexes in geographic coverage and weighting methodology, as detailed below.<\/span><\/p><p><span style=\"font-weight: 400;\">The RHPI is reported in seasonally adjusted values to account for predictable fluctuations in prices from month to month.<\/span><\/p><h4><strong>How the Index Is Constructed<\/strong><\/h4><h5><strong>Step 1: Identifying Repeat-Sale Pairs<\/strong><\/h5><p><span style=\"font-weight: 400;\">The RHPI is built from repeat-sale pairs, or homes that have sold at least twice. For each home, we pair the most recent sale with the one that immediately preceded it.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">We limit the analysis to single-family homes with sale price data on both transactions. We exclude from the analysis<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Flips, identified as properties sold twice within 180 days, as those price changes typically reflect renovation rather than market movement.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">New construction, as there is only one sale on record.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Condo\/co-op, townhouse, and multi-family (2-4 unit) properties.<\/span><\/li><\/ul><h5><strong>Step 2: Estimating Price Levels via Regression<\/strong><\/h5><p><span style=\"font-weight: 400;\">The RHPI combines repeat-sales pairs to construct a picture of how the price level evolves over time. For example, if many homes that sold in a given month went up in price compared to when they were last purchased, the month gets a higher index value. The statistical model looks at all such pairs simultaneously to estimate a price level for each month.<\/span><\/p><p><span style=\"font-weight: 400;\">We estimate these monthly price levels using a log-linear regression. For each pair, the dependent variable is the log price ratio:<\/span><\/p><p><span style=\"font-weight: 400;\">ln(Sale Price) \u2212 ln(Purchase Price)<\/span><\/p><p><span style=\"font-weight: 400;\">This is regressed on monthly indicator variables (\u22121 for the purchase month, +1 for the sale month). Each month&#8217;s coefficient captures its log price level. The index is derived by exponentiating the coefficients and rescaling so that January 2020 = 100. Due to data availability, we publish time series from 2012 onwards.<\/span><\/p><h5><strong>Step 3: Geographic Aggregation<\/strong><\/h5><p><span style=\"font-weight: 400;\">We run regressions for each of the 50 most populous U.S. metro areas. The national index is constructed as a weighted average of state-level indices, where weights are proportional to each state&#8217;s single-family housing stock.<\/span><\/p><h5><strong>Step 4: Seasonal Adjustment<\/strong><\/h5><p><span style=\"font-weight: 400;\">As in our Housing Market Tracker, we remove predictable seasonal patterns in home prices using X-13ARIMA-SEATS, the same method used by the U.S. Census Bureau and Bureau of Labor Statistics. The result is an index that reflects underlying price trends independent of time of year.<\/span><\/p><h5><strong>Step 5: Growth Rates<\/strong><\/h5><p><span style=\"font-weight: 400;\">Because single-month changes can be noisy, we report a three-month rolling average of month-over-month changes, i.e., January-March compared with February-April. Year-over-year changes for rolling three-month periods are published as well.<\/span><\/p><h4><strong>How the RHPI Differs from Case-Shiller<\/strong><\/h4><table><thead><tr><th>\u00a0<\/th><th><p><b>RHPI<\/b><\/p><\/th><th><p><b>Case-Shiller<\/b><\/p><\/th><\/tr><\/thead><tbody><tr><td><p><b>Weighting<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">Equal-weighted\u2014every sale counts the same<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Value-weighted\u2014higher priced homes have more influence<\/span><\/p><\/td><\/tr><tr><td><p><b>Data source<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">Real-time MLS feed<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">County recorder deed records<\/span><\/p><\/td><\/tr><tr><td><p><b>Timeliness<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">~2-week lag<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">~2-month lag<\/span><\/p><\/td><\/tr><tr><td><p><b>Geographic scope<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">50 most populous metros + national<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">10- and 20-city composites + national<\/span><\/p><\/td><\/tr><tr><td><p><b>Flip exclusion<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">180 days<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Six months<\/span><\/p><\/td><\/tr><\/tbody><\/table><p><span style=\"font-weight: 400;\">The equal-weighting distinction matters: In a value-weighted index, a $2 million home appreciating 5% has far more impact than a $200,000 home appreciating the same amount. The RHPI treats both equally, making it more representative of the typical homebuyer&#8217;s experience.<\/span><\/p><h4><strong>Data Revisions<\/strong><\/h4><p><span style=\"font-weight: 400;\">Some sale records arrive after the close of a reporting month. When we update the RHPI, we re-estimate the full history with all available pairs, so prior months may shift slightly. Revisions are small and typically stabilize within two to three months.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0476272 e-con-full e-flex e-con e-child\" data-id=\"0476272\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0800132 elementor-widget elementor-widget-heading\" data-id=\"0800132\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"ehs\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Existing Home Sales<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a2ebc84 elementor-widget elementor-widget-text-editor\" data-id=\"a2ebc84\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Redfin\u2019s Existing Home Sales estimates track the number of previously owned homes sold each month across the United States. By focusing exclusively on resales\u2014excluding new construction\u2014these figures measure activity in the secondary housing market, where most Americans buy and sell.<\/span><\/p><h4><strong>What We Measure<\/strong><\/h4><p><span style=\"font-weight: 400;\">We count closed residential transactions\u2014single family, condo\/co-op, townhouse, and multi-family (2-4 unit) properties\u2014where the property was not newly built. We report raw sales counts, seasonally adjusted annualized rates, and month-over-month and year-over-year changes.<\/span><\/p><p><span style=\"font-weight: 400;\">Data is published at two geographic levels\u2014the nation overall and the four U.S. Census regions (Northeast, Midwest, South, and West)\u2014mirroring the breakdowns used in the National Association of Realtors (NAR) existing home sales report to make direct comparison straightforward.<\/span><\/p><h4><strong>Scaling to NAR\u2019s Existing Home Sales<\/strong><\/h4><p><span style=\"font-weight: 400;\">Our existing homes sales figures are constructed to closely mirror NAR\u2019s existing home sales (EHS). NAR derives its estimates from a representative <\/span><a href=\"https:\/\/www.nar.realtor\/research-and-statistics\/housing-statistics\/existing-home-sales\/existing-home-sales-explained\"><span style=\"font-weight: 400;\">sample<\/span><\/a><span style=\"font-weight: 400;\"> of MLSs, and we follow a similar approach. We count closed sales within a consistent base of approximately 450 counties, grouped into the four Census regions (Northeast, Midwest, South, West). Each region\u2019s raw count is then scaled by a weighting factor calibrated against NAR\u2019s reported regional totals using 2016 to 2018 data. The four scaled regional estimates are summed to produce the national EHS figure.\u00a0\u00a0<\/span><\/p><h4><strong>Data Coverage and Adjustments<\/strong><\/h4><p><span style=\"font-weight: 400;\">Estimates are subject to revisions. For the most recent periods, we also adjust the estimates to reflect future, expected revisions. See the methodology on the Housing Market Tracker for more detail.<\/span><\/p><p><span style=\"font-weight: 400;\">The data are seasonally adjusted using X-13ARIMA-SEATS, with each region\u2019s series adjusted independently.<\/span><\/p><p><span style=\"font-weight: 400;\">These estimates are published at the national level and for each of the four U.S. Census regions (Northeast, Midwest, South, and West). They cover all residential property types: single family, condo\/co-op, townhouse, and multi-family (2\u20134 unit). They do not include new construction.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9d46f60 e-con-full e-flex e-con e-child\" data-id=\"9d46f60\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2c7b28a elementor-widget elementor-widget-heading\" data-id=\"2c7b28a\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"cash_loan\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Financing Trends: Cash Purchases, Loan Types &amp; Down Payments<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-36bd418 elementor-widget elementor-widget-text-editor\" data-id=\"36bd418\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Understanding how Americans finance their home purchases provides critical insight into housing market dynamics. All-cash activity may signal investor presence or heightened competition, while shifts in loan type composition may reflect changing affordability conditions and buyer demographics.<\/span><\/p><h4><strong>What We Measure<\/strong><\/h4><p><span style=\"font-weight: 400;\">We measure the share of homes sold by how the sale was financed. We classify home sales into five financing categories based on public records data that shows the mortgage financing associated with each transaction:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>All-cash purchases<\/b><span style=\"font-weight: 400;\"> are sales with no recorded mortgage financing. These purchases are often made by investors, downsizing homeowners or buyers in highly competitive markets where cash offers provide an advantage.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>FHA-financed sales<\/b><span style=\"font-weight: 400;\"> use Federal Housing Administration loans, which allow lower down payments (as low as 3.5%) and are designed to help first-time buyers and those with less cash on hand. These sales can provide insight into the entry-level market and buyers facing affordability constraints.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>VA-financed sales<\/b><span style=\"font-weight: 400;\"> use Department of Veterans Affairs loans, which are available to eligible veterans, active-duty service members, and surviving spouses. These loans typically require no down payment.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Conforming sales<\/b><span style=\"font-weight: 400;\"> use conventional financing, or a mortgage through a private lender, where the loan amount is at or below the local conforming loan limit set by the U.S. Federal Housing Finance Agency (FHFA). These loans typically require down payments of 5% to 20%, and can provide insight into the bulk of the housing market.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Jumbo sales<\/b><span style=\"font-weight: 400;\"> use conventional financing, or a mortgage through a private lender, where the loan amount exceeds the local conforming loan limit set by the U.S. Federal Housing Finance Agency (FHFA). These loans typically require larger down payments, and can provide insight into the higher-end market.<\/span><\/li><\/ul><h4><strong>How We Calculate Shares<\/strong><\/h4><p><span style=\"font-weight: 400;\">We measure the share of overall U.S. home purchases made with all cash, as well as the share of mortgaged home purchases made with different loan types.<\/span><\/p><p><span style=\"font-weight: 400;\">All-cash purchase share is measured as a share of total U.S. home purchases (sales). This metric helps track overall market liquidity and investor activity.<\/span><\/p><p><span style=\"font-weight: 400;\">Government-backed and conventional loan shares (FHA, VA, conforming, and jumbo) are measured as a percentage of financed sales only\u2014specifically, the sum of FHA, VA, and all conventional loans (conforming + jumbo). By excluding all-cash from the denominator, we can better isolate shifts in the composition of mortgage-backed purchases.<\/span><\/p><p><span style=\"font-weight: 400;\">For example, if FHA-financed sales share is 15%, this means that among buyers who obtained an FHA, VA, or conventional mortgage, 15% chose FHA financing.<\/span><\/p><h4><strong>Additional Financing Metrics<\/strong><\/h4><p><span style=\"font-weight: 400;\">Beyond loan type shares, we track several metrics that provide context on buyer financial behavior:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Median down payment<\/b><span style=\"font-weight: 400;\"> measures the typical dollar amount that financed buyers (excluding all-cash) put down.\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Median percent down payment<\/b><span style=\"font-weight: 400;\"> expresses the typical down payment as a percentage of the sale price, for financed buyers only.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Share of buyers putting 10%+ down<\/b><span style=\"font-weight: 400;\"> shows the percentage of financed buyers who put down more than 10% of the purchase price\u2014an indicator of financial strength.<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">We calculate these metrics monthly for both the nation overall and for the top 50 largest U.S. metropolitan areas by population, excluding those where data coverage or quality limitations prevent reliable reporting. Our analysis includes multiple types of residential properties\u2014single family, townhouse, condo\/co-op, and multi-family (2-4 unit).<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3479c0b e-con-full e-flex e-con e-child\" data-id=\"3479c0b\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-48c0c86 elementor-widget elementor-widget-heading\" data-id=\"48c0c86\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Data Dictionary<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bab606b elementor-widget elementor-widget-text-editor\" data-id=\"bab606b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<div class=\"data-dict\"><h4><strong>Active listings<\/strong><\/h4><p><span style=\"font-weight: 400;\">The total number of homes available for sale at any point during a given period. Only listings on the market for less than one year are included.<\/span><\/p><hr \/><h4><strong>Age of inventory<\/strong><\/h4><p><span style=\"font-weight: 400;\">The median number of days that active listings have been on the market during a given period.<\/span><\/p><hr \/><h4><strong>Average sale to list ratio<\/strong><\/h4><p><span style=\"font-weight: 400;\">For homes sold during a given period, the average ratio of each home&#8217;s final sale price to its final list price. Sales where the ratio is less than 0.5 or greater than 2.0 are excluded. An average ratio of 0.99 means the typical home sold for 1% below its final list price, while a ratio of 1.01 means the typical home sold for 1% above its final list price.<\/span><\/p><hr \/><h4><strong>Average sale to original list ratio<\/strong><\/h4><p><span style=\"font-weight: 400;\">For homes sold during a given period, the average ratio of each home&#8217;s final sale price to its original list price. Sales where the ratio is less than 0.5 or greater than 2.0 are excluded. An average ratio of 0.99 means the typical home sold for 1% below its original list price, while a ratio of 1.01 means the typical home sold for 1% above its original list price.<\/span><\/p><hr \/><h4><strong>Buyers and sellers<\/strong><\/h4><p><span style=\"font-weight: 400;\">Redfin reports an estimate of the number of active buyers in the market\u2013the buyer-side analogue to active listings (or \u201csellers\u201d). Buyers are estimated using a model combining MLS data on home sales and Redfin proprietary data on buyer search time. These metrics are also reported as a ratio\u2013buyers divided by sellers\u2013and a percent difference\u2013sellers minus buyers as a percent of buyers. These metrics are also used to identify the relative \u201cbalance of power\u201d in a market.<\/span><\/p><hr \/><h4><strong>Contract cancellations<\/strong><\/h4><p><span style=\"font-weight: 400;\">The number of homes where a purchase agreement was canceled after the seller accepted an offer, and the home returned to the market for sale. The cancellation is counted when the home is again available for sale. <\/span><span style=\"font-weight: 400;\">Homes that fell out of contract during a given period did not necessarily go under contract in the same period.<\/span><span style=\"font-weight: 400;\"> This metric is also reported as a percentage: contract cancellations as a share of total pending sales during a given period.<\/span><\/p><hr \/><h4><strong>Delistings<\/strong><\/h4><p><span style=\"font-weight: 400;\">The number of homes withdrawn from the market that did not sell. A delisting is counted when a listing changes from active status to off-market and the home does not become available for sale again or sell within the following 31 days. To qualify, the listing must have been active\u2013not contingent, pending, or sold\u2013prior to the delisting. This metric is also reported as a percentage: the number of delistings as a share of active listings during a given period. If a delisted home returns to the market after 31 days but no later than 365 days, it is considered a relisting. (See \u201cRelistings\u201d)<\/span><\/p><hr \/><h4><strong>Homes sold<\/strong><\/h4><p><span style=\"font-weight: 400;\">The total number of closed home sales during a given period. A home is counted based on the date the sale closed\u2013not the date it went under contract.<\/span><\/p><hr \/><h4><strong>Inventory<\/strong><\/h4><p><span style=\"font-weight: 400;\">The total number of homes available for sale on the final day of a given period. This represents an end-of-period snapshot, differentiating it from &#8220;active listings,&#8221; which captures the total number of homes that were for sale at any point in the period. Homes on the market for more than one year are excluded.<\/span><\/p><hr \/><h4><strong>Inventory over 60 days<\/strong><\/h4><p><span style=\"font-weight: 400;\">Total inventory that has been on the market for over 60 days. (See \u201cInventory\u201d) This metric is also reported as a percent of all inventory.<\/span><\/p><hr \/><h4><strong>Median days to close<\/strong><\/h4><p><span style=\"font-weight: 400;\">For homes that sold during a given period, the median time from going under contract to closing.<\/span><\/p><hr \/><h4><strong>Median days on market<\/strong><\/h4><\/div><p><span style=\"font-weight: 400;\">For homes that went under contract during a given period, the median number of days they were listed for before going under contract. Homes on the market for more than one year are excluded.<\/span><\/p><hr \/><div class=\"data-dict\"><h4><strong>Median new listing price<\/strong><\/h4><p><span style=\"font-weight: 400;\">The median asking price of homes listed for sale during a given period.<\/span><\/p><hr \/><h4><strong>Median new listing price per square foot<\/strong><\/h4><p><span style=\"font-weight: 400;\">For homes that sold during a given period, the median of each home&#8217;s sale price divided by its square footage. Homes without square footage data are excluded.<\/span><\/p><hr \/><h4><strong>Median sale price<\/strong><\/h4><p><span style=\"font-weight: 400;\">The median final sale price of homes that closed during a given time period.<\/span><\/p><hr \/><h4><strong>Median sale price per square foot<\/strong><\/h4><p><span style=\"font-weight: 400;\">The median price per square foot for homes that sold during a given period, calculated by dividing the final sale price by the approximate square footage. Homes without square footage data are excluded.<\/span><\/p><hr \/><h4><strong>Months of supply<\/strong><\/h4><p><span style=\"font-weight: 400;\">A calculation of how long it would take for all inventory to sell at the market\u2019s current pace of home sales, assuming no new listings. It is calculated as inventory divided by home sales. (See \u201cInventory\u201d and \u201cHomes sold\u201d)<\/span><\/p><hr \/><h4><strong>New listings<\/strong><\/h4><p><span style=\"font-weight: 400;\">The total number of homes newly listed for sale during a given period. A home is counted when it appears as available for sale.<\/span><\/p><hr \/><h4><strong>Off market in one week<\/strong><\/h4><p><span style=\"font-weight: 400;\">The number of homes that went under contract within seven days after being newly listed. Also reported as a percent of all pending sales.<\/span><\/p><hr \/><h4><strong>Off market in two weeks<\/strong><\/h4><p><span style=\"font-weight: 400;\">The number of homes that went under contract within 14 days after being newly listed. Also reported as a percent of all pending sales.<\/span><\/p><hr \/><h4><strong>Pending sales<\/strong><\/h4><p><span style=\"font-weight: 400;\">The total number of homes that went under contract during a given period. The date a home went under contract is when the listing is first reported as having an accepted offer or sold.<\/span><\/p><hr \/><h4><strong>Price drops<\/strong><\/h4><p><span style=\"font-weight: 400;\">The number of homes that had at least one price drop during the period. A price drop is a list price reduction of at least 1% but no more than 50%. This metric is also expressed as a share of active listings. A related metric is the average price drop, which is the average size of price drops that occurred during a given period, expressed as a percentage of the pre-drop list price.<\/span><\/p><hr \/><h4><strong>Relistings<\/strong><\/h4><p><span style=\"font-weight: 400;\">The number of homes returning to the market in a given period after having been previously delisted. (See \u201cDelistings\u201d) The relisting is counted in the period when the home is again available for sale. This metric is also reported as a percentage: relistings as a share of active listings during a given period.<\/span><\/p><hr \/><h4><strong>Share sold above list<\/strong><\/h4><p><span style=\"font-weight: 400;\">The percentage of homes sold where the sale price was above the most recent list price.<\/span><\/p><hr \/><h4><strong>Share sold above original list<\/strong><\/h4><p><span style=\"font-weight: 400;\">The percentage of homes sold where the sale price was above the original list price.<\/span><\/p><hr \/><h4><strong>Share sold at list<\/strong><\/h4><p><span style=\"font-weight: 400;\">The percentage of homes sold where the sale price was equal to the most recent list price.<\/span><\/p><hr \/><h4><strong>Share sold at original list<\/strong><\/h4><p><span style=\"font-weight: 400;\">The percentage of homes sold where the sale price was equal to the original list price.<\/span><\/p><hr \/><h4><strong>Share sold below list<\/strong><\/h4><p><span style=\"font-weight: 400;\">The percentage of homes sold where the sale price was below the most recent list price.<\/span><\/p><hr \/><h4><strong>Share sold below original list<\/strong><\/h4><p><span style=\"font-weight: 400;\">The percentage of homes sold where the sale price was less than the original list price.<\/span><\/p><hr \/><p><span style=\"font-weight: 400;\">For questions or clarification, please contact <\/span><a href=\"mailto:econdata@redfin.com\"><b>econdata@redfin.com<\/b><\/a><\/p><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Learn about our data collection methods, metrics definitions, and publication schedule For questions about the data or research collaborations, please contact econdata@redfin.com.For press inquiries, please contact press@redfin.com. Table of Contents 2026 Data Release Calendar Housing Market Metrics Release Schedule &#8211; Data updated at 1 pm ET Housing Market Tracker: Weekly &amp; Monthly The Housing Market [&hellip;]<\/p>\n","protected":false},"author":12371,"featured_media":0,"parent":24,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"full-width-container","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":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","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":""},"coauthors":[163],"class_list":["post-85147","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.7 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Methodology - Redfin<\/title>\n<meta name=\"description\" content=\"Redfin U.S. housing market data update schedule and methodology\" \/>\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\/data-center\/methodology\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Methodology\" \/>\n<meta property=\"og:description\" content=\"Redfin U.S. housing market data update schedule and methodology\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.redfin.com\/news\/data-center\/methodology\/\" \/>\n<meta property=\"og:site_name\" content=\"Redfin Real Estate News\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/redfin\" \/>\n<meta property=\"article:modified_time\" content=\"2026-05-08T16:26:17+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@redfin\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n\t<meta name=\"twitter:label2\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data2\" content=\"Suzanne Harrison\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.redfin.com/news\\\/data-center\\\/methodology\\\/\",\"url\":\"https:\\\/\\\/www.redfin.com/news\\\/data-center\\\/methodology\\\/\",\"name\":\"Methodology - Redfin\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.redfin.com/news\\\/#website\"},\"datePublished\":\"2026-05-05T23:10:04+00:00\",\"dateModified\":\"2026-05-08T16:26:17+00:00\",\"description\":\"Redfin U.S. housing market data update schedule and methodology\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.redfin.com/news\\\/data-center\\\/methodology\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.redfin.com/news\\\/data-center\\\/methodology\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.redfin.com/news\\\/data-center\\\/methodology\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.redfin.com/news\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Data Center\",\"item\":\"https:\\\/\\\/www.redfin.com/news\\\/data-center\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Methodology\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.redfin.com/news\\\/#website\",\"url\":\"https:\\\/\\\/www.redfin.com/news\\\/\",\"name\":\"Redfin Real Estate News\",\"description\":\"The latest real estate news and research from technology-powered residential real estate company, Redfin.\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.redfin.com/news\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.redfin.com/news\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.redfin.com/news\\\/#organization\",\"name\":\"Redfin\",\"url\":\"https:\\\/\\\/www.redfin.com/news\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.redfin.com/news\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/www.redfin.com\\\/news\\\/wp-content\\\/uploads\\\/2020\\\/10\\\/Redfin-News-Logo.png\",\"contentUrl\":\"https:\\\/\\\/www.redfin.com\\\/news\\\/wp-content\\\/uploads\\\/2020\\\/10\\\/Redfin-News-Logo.png\",\"width\":1100,\"height\":235,\"caption\":\"Redfin\"},\"image\":{\"@id\":\"https:\\\/\\\/www.redfin.com/news\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/redfin\",\"https:\\\/\\\/x.com\\\/redfin\",\"https:\\\/\\\/www.instagram.com\\\/redfinrealestate\\\/\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/redfin\",\"https:\\\/\\\/www.pinterest.com\\\/redfin\\\/\",\"https:\\\/\\\/en.wikipedia.org\\\/wiki\\\/Redfin\"]}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Methodology - Redfin","description":"Redfin U.S. housing market data update schedule and methodology","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.redfin.com\/news\/data-center\/methodology\/","og_locale":"en_US","og_type":"article","og_title":"Methodology","og_description":"Redfin U.S. housing market data update schedule and methodology","og_url":"https:\/\/www.redfin.com\/news\/data-center\/methodology\/","og_site_name":"Redfin Real Estate News","article_publisher":"https:\/\/www.facebook.com\/redfin","article_modified_time":"2026-05-08T16:26:17+00:00","twitter_card":"summary_large_image","twitter_site":"@redfin","twitter_misc":{"Est. reading time":"1 minute","Written by":"Suzanne Harrison"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.redfin.com\/news\/data-center\/methodology\/","url":"https:\/\/www.redfin.com\/news\/data-center\/methodology\/","name":"Methodology - Redfin","isPartOf":{"@id":"https:\/\/www.redfin.com\/news\/#website"},"datePublished":"2026-05-05T23:10:04+00:00","dateModified":"2026-05-08T16:26:17+00:00","description":"Redfin U.S. housing market data update schedule and methodology","breadcrumb":{"@id":"https:\/\/www.redfin.com\/news\/data-center\/methodology\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.redfin.com\/news\/data-center\/methodology\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.redfin.com\/news\/data-center\/methodology\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.redfin.com\/news\/"},{"@type":"ListItem","position":2,"name":"Data Center","item":"https:\/\/www.redfin.com\/news\/data-center\/"},{"@type":"ListItem","position":3,"name":"Methodology"}]},{"@type":"WebSite","@id":"https:\/\/www.redfin.com\/news\/#website","url":"https:\/\/www.redfin.com\/news\/","name":"Redfin Real Estate News","description":"The latest real estate news and research from technology-powered residential real estate company, Redfin.","publisher":{"@id":"https:\/\/www.redfin.com\/news\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.redfin.com\/news\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.redfin.com\/news\/#organization","name":"Redfin","url":"https:\/\/www.redfin.com\/news\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.redfin.com\/news\/#\/schema\/logo\/image\/","url":"https:\/\/www.redfin.com\/news\/wp-content\/uploads\/2020\/10\/Redfin-News-Logo.png","contentUrl":"https:\/\/www.redfin.com\/news\/wp-content\/uploads\/2020\/10\/Redfin-News-Logo.png","width":1100,"height":235,"caption":"Redfin"},"image":{"@id":"https:\/\/www.redfin.com\/news\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/redfin","https:\/\/x.com\/redfin","https:\/\/www.instagram.com\/redfinrealestate\/","https:\/\/www.linkedin.com\/company\/redfin","https:\/\/www.pinterest.com\/redfin\/","https:\/\/en.wikipedia.org\/wiki\/Redfin"]}]}},"_links":{"self":[{"href":"https:\/\/www.redfin.com\/news\/wp-json\/wp\/v2\/pages\/85147","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.redfin.com\/news\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.redfin.com\/news\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.redfin.com\/news\/wp-json\/wp\/v2\/users\/12371"}],"replies":[{"embeddable":true,"href":"https:\/\/www.redfin.com\/news\/wp-json\/wp\/v2\/comments?post=85147"}],"version-history":[{"count":28,"href":"https:\/\/www.redfin.com\/news\/wp-json\/wp\/v2\/pages\/85147\/revisions"}],"predecessor-version":[{"id":85472,"href":"https:\/\/www.redfin.com\/news\/wp-json\/wp\/v2\/pages\/85147\/revisions\/85472"}],"up":[{"embeddable":true,"href":"https:\/\/www.redfin.com\/news\/wp-json\/wp\/v2\/pages\/24"}],"wp:attachment":[{"href":"https:\/\/www.redfin.com\/news\/wp-json\/wp\/v2\/media?parent=85147"}],"wp:term":[{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.redfin.com\/news\/wp-json\/wp\/v2\/coauthors?post=85147"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}