Widgets can display any predetermined Zip Code, County, City or State market and/or markets can be user-selected and/or tied directly into any on-page map, tool or application.
Live Demo - Market Pulse
Close Tab Matching your investing tactics and strategies to your local real estate market trends produces more deals with less risk, effort, and capital. Your micro market intelligence finds and targets those needle-in-a-haystack opportunities and dramatically increases your ROI while slashing your upfront acquisition and marketing costs. Learn more...
Help Close Tab Matching your investing tactics and strategies to your local real estate market trends produces more deals with less risk, effort, and capital. Your micro market intelligence finds and targets those needle-in-a-haystack opportunities and dramatically increases your ROI while slashing your upfront acquisition and marketing costs. Learn more...
Help Close Tab Matching your investing tactics and strategies to your local real estate market trends produces more deals with less risk, effort, and capital. Your micro market intelligence finds and targets those needle-in-a-haystack opportunities and dramatically increases your ROI while slashing your upfront acquisition and marketing costs. Learn more...
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Additional Market Portals (Widgets)
Real Estate Cycle Charts
Charts showing the annual appreciation or decline in real estate values over time are visual snapshots of Supply and Demand forces in action. Technical Analysis (TA) relies on these charts because they accurately reflect what ACTUALLY happened.
The practice of TA consists of what are called "Studies" – different sets of calculations and algorithms proven over time. These Studies include Market Psychology, the most powerful driver of all.
Because real estate is so cyclical (compared to the Stock Market, for example), relatively simple Studies can be used to accurately track local markets.
Long Term Real Estate Cycles
City: Cape Coral-Fort Myers, FL
Charts showing the annual appreciation or decline in real estate values over time are visual snapshots of Supply and Demand forces in action. Technical Analysis (TA) relies on these charts because they accurately reflect what ACTUALLY happened.
The practice of TA consists of what are called “Studies” – different sets of calculations and algorithms proven over time. These Studies include Market Psychology, the most powerful driver of all.
If you want to know more about HosuingAlerts just click here to learn more.
Close Tab STAR Indicators
The STAR momentum indicators show the 'energy' behind any market. For a sustained up-cycle, it MUST be supported by momentum. Market Psychology influences momentum but is not the only driver.
The first step in locating investment candidates is evaluating the STAR indicators. Each of the six 'triggers' represent a distinct Technical Analysis (TA) 'event.'
The left-most columns are Short-Term triggers and carry far less significance than the Long-Term indicators on the right.
However, all Trend Reversals (up or down) BEGIN with the short term triggers. They provide early-warning signals, especially when they develop a consistent pattern of changing colors (from green to red, or red to green) 'growing' from left to right.
Green means positive, upward sloping momentum. Red means the opposite. Yellow occurs when, in the current period, the slope/direction changed for that trigger.
Markets that do not display a consistent color pattern; with seemingly random horizontal color changes from one period to the next, especially in the long-term triggers, are generally lacking ANY momentum, and are poor investment markets for Leveraged Appreciation.
STAR Momentum Indicators
Market Momentum (STAR) Indicators
City: Cape Coral-Fort Myers, FL
The STAR momentum indicators show the ‘energy’ behind any market. For a sustained up-cycle, it MUST be supported by momentum. Market Psychology influences momentum but is not the only driver.
The first step in locating investment candidates is evaluating the STAR indicators. Each of the six ‘triggers’ represent a distinct Technical Analysis (TA) ‘event.’
The left-most columns are Short-Term triggers and carry far less significance than the Long-Term indicators on the right.
However, all Trend Reversals (up or down) BEGIN with the short term triggers. They provide early-warning signals, especially when they develop a consistent pattern of changing colors (from green to red, or red to green) ‘growing’ from left to right.
Green means positive, upward sloping momentum. Red means the opposite. Yellow occurs when, in the current period, the slope/direction changed for that trigger.
Markets that do not display a consistent color pattern; with seemingly random horizontal color changes from one period to the next, especially in the long-term triggers, are generally lacking ANY momentum, and are poor investment markets for Leveraged Appreciation.
If you want to know more about HosuingAlerts just click here to learn more.
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The higher the score, the more likely this market will have higher cash flow compared to all markets nationwide.
If you want to know more about HosuingAlerts just click here to learn more.
Close Tab This is the best single indicator (if you only want to look at ONE scoring element). The “Master Score” is a proprietary algorithm that integrates all data into a single score.
If you want to know more about HosuingAlerts just click here to learn more.
Close Tab Close Tab Matching your investing tactics and strategies to your local real estate market trends produces more deals with less risk, effort, and capital. Your micro market intelligence finds and targets those needle-in-a-haystack opportunities and dramatically increases your ROI while slashing your upfront acquisition and marketing costs. Learn more...
Help 
Close Tab Matching your investing tactics and strategies to your local real estate market trends produces more deals with less risk, effort, and capital. Your micro market intelligence finds and targets those needle-in-a-haystack opportunities and dramatically increases your ROI while slashing your upfront acquisition and marketing costs. Learn more...
Help 
Every market can be scored and ranked by each Indicator below ('99' is strongest, '0' is weakest).
Master Score
This is the best single indicator (if you only want to look at ONE scoring element).
Cash Flow
The higher the score, the more likely this market will have higher cash flow compared to all markets nationwide.
Hot Market + Cash Flow Score
This indicator attempts to identify micro markets with both relatively higher cash flow potential AND a relatively higher potential for appreciation.
Rent Growth
A high score means SFR rent rates have been increasing more in this market, RELATIVE to all markets nationwide.
House Value
On a nationwide basis, lower priced properties tend to be in weak or flat markets with less likelihood for appreciation.
Technical Analysis Point Score
This is the Technical Analysis Point Score ranking after combining the Local (city-level) market with the State, Regional and National TAPS scores.
Six Trigger Alert Report
The STAR momentum indicators show the ‘energy’ behind any market. For a sustained up-cycle, it MUST be supported by momentum.
1-Yr THAR
This indicator ranks all markets based on its Total Home Appreciation Rate over the previous year.
Close Tab | Rank | Market | Gross Rent Ratio |
| Rank | Market | Gross Rent Ratio |
| 1 | Brownsville-Harlingen, TX | 9.7 |
| 2 | Danville, IL | 11.4 |
| 3 | Johnstown, PA | 9.1 |
| 4 | McAllen-Edinburg-Mission, TX | 9.6 |
| 5 | Hinesville, GA | 8.5 |
| 6 | Muncie, IN | 8.5 |
| 7 | Pine Bluff, AR | 8.7 |
| 8 | Wichita Falls, TX | 8.6 |
| 9 | Charleston, WV | 8.4 |
| 10 | Corpus Christi, TX | 8.3 |
| 11 | Decatur, IL | 8.2 |
| 12 | Elmira, NY | 8.4 |
| 13 | Abilene, TX | 8.2 |
| 14 | Beaumont-Port Arthur, TX | 7.9 |
| 15 | Saginaw, MI | 8 |
| 16 | Terre Haute, IN | 8 |
| 17 | Beckley, WV | 7.7 |
| 18 | Detroit-Dearborn-Livonia, MI (MSAD) | 7.8 |
| 19 | El Paso, TX | 7.8 |
| 20 | Odessa, TX | 7.9 |
| 21 | Carbondale-Marion, IL | 7.5 |
| 22 | Fayetteville, NC | 7.6 |
| 23 | Huntington-Ashland, WV-KY-OH | 7.4 |
| 24 | Watertown-Fort Drum, NY | 7.6 |
| 25 | Binghamton, NY | 7.4 |
| 26 | Enid, OK | 7.4 |
| 27 | Kokomo, IN | 7.4 |
| 28 | Rockford, IL | 7.4 |
| 29 | Joplin, MO | 7.3 |
| 30 | Montgomery, AL | 7.4 |
| 31 | Peoria, IL | 7.3 |
| 32 | Warner Robins, GA | 7.3 |
| 33 | Battle Creek, MI | 7.3 |
| 34 | Bay City, MI | 7.2 |
| 35 | Florence, SC | 7.3 |
| 36 | Hattiesburg, MS | 7.3 |
| 37 | Albany, GA | 7.2 |
| 38 | Kankakee, IL | 7.1 |
| 39 | Macon-Bibb County, GA | 7.2 |
| 40 | Mobile, AL | 7.2 |
| 41 | Laredo, TX | 7.1 |
| 42 | Rochester, NY | 7.1 |
| 43 | Springfield, IL | 7.1 |
| 44 | Vineland-Bridgeton, NJ | 7.1 |
| 45 | Amarillo, TX | 7.1 |
| 46 | Longview, TX | 7.1 |
| 47 | Victoria, TX | 7 |
| 48 | Weirton-Steubenville, WV-OH | 7.1 |
| 49 | Lubbock, TX | 7 |
| 50 | New Bern, NC | 6.9 |
| 51 | Sumter, SC | 7 |
| 52 | Texarkana, TX-AR | 7 |
| 53 | Brunswick, GA | 6.9 |
| 54 | Davenport-Moline-Rock Island, IA-IL | 6.9 |
| 55 | Flint, MI | 6.9 |
| 56 | Waco, TX | 6.9 |
| 57 | Lima, OH | 6.8 |
| 58 | Midland, MI | 6.9 |
| 59 | Ocala, FL | 6.8 |
| 60 | Syracuse, NY | 6.8 |
| 61 | Gadsden, AL | 6.8 |
| 62 | Jackson, TN | 6.8 |
| 63 | South Bend-Mishawaka, IN-MI | 6.8 |
| 64 | Topeka, KS | 6.8 |
| 65 | Altoona, PA | 6.7 |
| 66 | Gulfport-Biloxi, MS | 6.8 |
| 67 | San Angelo, TX | 6.8 |
| 68 | Wheeling, WV-OH | 6.8 |
| 69 | Columbia, SC | 6.7 |
| 70 | Columbus, IN | 6.7 |
| 71 | Michigan City-La Porte, IN | 6.7 |
| 72 | Scranton--Wilkes-Barre, PA | 6.7 |
| 73 | Farmington, NM | 6.7 |
| 74 | Jacksonville, NC | 6.7 |
| 75 | Sebring-Avon Park, FL | 6.6 |
| 76 | Sioux City, IA-NE-SD | 6.6 |
| 77 | Columbus, GA-AL | 6.5 |
| 78 | Goldsboro, NC | 6.6 |
| 79 | Jackson, MS | 6.6 |
| 80 | Lawton, OK | 6.5 |
| 81 | Toledo, OH | 6.5 |
| 82 | Anniston-Oxford, AL | 6.5 |
| 83 | Greensboro-High Point, NC | 6.5 |
| 84 | Parkersburg-Vienna, WV | 6.5 |
| 85 | St. Joseph, MO-KS | 6.5 |
| 86 | Jackson, MI | 6.5 |
| 87 | Shreveport-Bossier City, LA | 6.5 |
| 88 | Youngstown-Warren-Boardman, OH-PA | 6.5 |
| 89 | Yuma, AZ | 6.5 |
| 90 | Alexandria, LA | 6.5 |
| 91 | Dothan, AL | 6.5 |
| 92 | Erie, PA | 6.5 |
| 93 | Lansing-East Lansing, MI | 6.5 |
| 94 | East Stroudsburg, PA | 6.4 |
| 95 | Monroe, LA | 6.4 |
| 96 | Panama City, FL | 6.4 |
| 97 | Wichita, KS | 6.4 |
| 98 | Dayton-Kettering, OH | 6.4 |
| 99 | Elkhart-Goshen, IN | 6.4 |
| 100 | Lakeland-Winter Haven, FL | 6.4 |
| 101 | Utica-Rome, NY | 6.4 |
| 102 | Champaign-Urbana, IL | 6.4 |
| 103 | Muskegon, MI | 6.4 |
| 104 | Philadelphia, PA (MSAD) | 6.4 |
| 105 | Williamsport, PA | 6.4 |
| 106 | Augusta-Richmond County, GA-SC | 6.3 |
| 107 | Evansville, IN-KY | 6.4 |
| 108 | Jonesboro, AR | 6.3 |
| 109 | Waterloo-Cedar Falls, IA | 6.3 |
| 110 | Blacksburg-Christiansburg, VA | 6.3 |
| 111 | Fort Wayne, IN | 6.3 |
| 112 | Little Rock-North Little Rock-Conway, AR | 6.3 |
| 113 | Rocky Mount, NC | 6.3 |
| 114 | Glens Falls, NY | 6.2 |
| 115 | Hot Springs, AR | 6.3 |
| 116 | Killeen-Temple, TX | 6.2 |
| 117 | Savannah, GA | 6.2 |
| 118 | Fort Smith, AR-OK | 6.2 |
| 119 | Gainesville, FL | 6.2 |
| 120 | Homosassa Springs, FL | 6.2 |
| 121 | Tallahassee, FL | 6.2 |
| 122 | Dalton, GA | 6.1 |
| 123 | Mansfield, OH | 6.1 |
| 124 | Oklahoma City, OK | 6.1 |
| 125 | Tyler, TX | 6.2 |
| 126 | Florence-Muscle Shoals, AL | 6.1 |
| 127 | Greenville, NC | 6.1 |
| 128 | San Antonio-New Braunfels, TX | 6.1 |
| 129 | Valdosta, GA | 6.1 |
| 130 | Camden, NJ (MSAD) | 6.1 |
| 131 | Harrisburg-Carlisle, PA | 6.1 |
| 132 | Tulsa, OK | 6.1 |
| 133 | York-Hanover, PA | 6.1 |
| 134 | Baton Rouge, LA | 6.1 |
| 135 | Cleveland-Elyria, OH | 6 |
| 136 | Lake Charles, LA | 6 |
| 137 | Memphis, TN-MS-AR | 6 |
| 138 | Canton-Massillon, OH | 6 |
| 139 | Houma-Thibodaux, LA | 6 |
| 140 | Lafayette-West Lafayette, IN | 6 |
| 141 | Springfield, OH | 6 |
| 142 | Atlantic City-Hammonton, NJ | 6 |
| 143 | Bloomington, IL | 6 |
| 144 | Gary, IN (MSAD) | 6 |
| 145 | Houston-The Woodlands-Sugar Land, TX | 6 |
| 146 | Akron, OH | 5.9 |
| 147 | Clarksville, TN-KY | 6 |
| 148 | Lafayette, LA | 5.9 |
| 149 | Pittsburgh, PA | 6 |
| 150 | Birmingham-Hoover, AL | 5.9 |
| 151 | Grand Island, NE | 5.9 |
| 152 | Ithaca, NY | 5.9 |
| 153 | Reading, PA | 5.9 |
| 154 | Orlando-Kissimmee-Sanford, FL | 5.8 |
| 155 | Rome, GA | 5.8 |
| 156 | Spartanburg, SC | 5.8 |
| 157 | Tuscaloosa, AL | 5.8 |
| 158 | Bangor, ME | 5.8 |
| 159 | Bloomington, IN | 5.8 |
| 160 | Fairbanks, AK | 5.8 |
| 161 | New Orleans-Metairie, LA | 5.8 |
| 162 | Sherman-Denison, TX | 5.7 |
| 163 | Cedar Rapids, IA | 5.7 |
| 164 | Duluth, MN-WI | 5.7 |
| 165 | Fort Worth-Arlington-Grapevine, TX (MSAD) | 5.7 |
| 166 | Hammond, LA | 5.7 |
| 167 | Buffalo-Cheektowaga, NY | 5.7 |
| 168 | Cape Girardeau, MO-IL | 5.7 |
| 169 | Owensboro, KY | 5.7 |
| 170 | Sierra Vista-Douglas, AZ | 5.7 |
| 171 | Allentown-Bethlehem-Easton, PA-NJ | 5.7 |
| 172 | Atlanta-Sandy Springs-Alpharetta, GA | 5.7 |
| 173 | Elizabethtown-Fort Knox, KY | 5.7 |
| 174 | Manhattan, KS | 5.7 |
| 175 | Janesville-Beloit, WI | 5.7 |
| 176 | Pensacola-Ferry Pass-Brent, FL | 5.7 |
| 177 | Puerto Rico, PR | 5.7 |
| 178 | Tampa-St. Petersburg-Clearwater, FL | 5.7 |
| 179 | Albany-Schenectady-Troy, NY | 5.6 |
| 180 | Auburn-Opelika, AL | 5.6 |
| 181 | Cape Coral-Fort Myers, FL | 5.6 |
| 182 | Morristown, TN | 5.6 |
| 183 | Deltona-Daytona Beach-Ormond Beach, FL | 5.6 |
| 184 | Fond du Lac, WI | 5.6 |
| 185 | Indianapolis-Carmel-Anderson, IN | 5.6 |
| 186 | St. Louis, MO-IL | 5.6 |
| 187 | Chicago-Naperville-Evanston, IL (MSAD) | 5.5 |
| 188 | Cumberland, MD-WV | 5.5 |
| 189 | Hartford-East Hartford-Middletown, CT | 5.5 |
| 190 | Monroe, MI | 5.5 |
| 191 | Columbia, MO | 5.5 |
| 192 | Greenville-Anderson, SC | 5.5 |
| 193 | Omaha-Council Bluffs, NE-IA | 5.5 |
| 194 | Warren-Troy-Farmington Hills, MI (MSAD) | 5.5 |
| 195 | Dover, DE | 5.5 |
| 196 | Hagerstown-Martinsburg, MD-WV | 5.5 |
| 197 | Kansas City, MO-KS | 5.5 |
| 198 | Lancaster, PA | 5.5 |
| 199 | Grand Forks, ND-MN | 5.5 |
| 200 | Louisville/Jefferson County, KY-IN | 5.5 |
| 201 | Oshkosh-Neenah, WI | 5.5 |
| 202 | Punta Gorda, FL | 5.5 |
| 203 | Dubuque, IA | 5.5 |
| 204 | Lake County-Kenosha County, IL-WI (MSAD) | 5.5 |
| 205 | New Haven-Milford, CT | 5.5 |
| 206 | Virginia Beach-Norfolk-Newport News, VA-NC | 5.5 |
| 207 | Kingsport-Bristol, TN-VA | 5.4 |
| 208 | Myrtle Beach-Conway-North Myrtle Beach, SC-NC | 5.4 |
| 209 | Palm Bay-Melbourne-Titusville, FL | 5.5 |
| 210 | Port St. Lucie, FL | 5.4 |
| 211 | Elgin, IL (MSAD) | 5.4 |
| 212 | Fort Lauderdale-Pompano Beach-Sunrise, FL (MSAD) | 5.4 |
| 213 | Jacksonville, FL | 5.4 |
| 214 | Trenton-Princeton, NJ | 5.4 |
| 215 | Burlington, NC | 5.4 |
| 216 | Kalamazoo-Portage, MI | 5.4 |
| 217 | La Crosse-Onalaska, WI-MN | 5.4 |
| 218 | Wausau-Weston, WI | 5.4 |
| 219 | Columbus, OH | 5.3 |
| 220 | Des Moines-West Des Moines, IA | 5.3 |
| 221 | Niles, MI | 5.3 |
| 222 | Winston-Salem, NC | 5.4 |
| 223 | Bloomsburg-Berwick, PA | 5.3 |
| 224 | Cincinnati, OH-KY-IN | 5.3 |
| 225 | Daphne-Fairhope-Foley, AL | 5.3 |
| 226 | West Palm Beach-Boca Raton-Boynton Beach, FL (MSAD) | 5.3 |
| 227 | Crestview-Fort Walton Beach-Destin, FL | 5.3 |
| 228 | Dallas-Plano-Irving, TX (MSAD) | 5.3 |
| 229 | Grand Rapids-Kentwood, MI | 5.3 |
| 230 | Lynchburg, VA | 5.3 |
| 231 | Bowling Green, KY | 5.2 |
| 232 | Burlington-South Burlington, VT | 5.2 |
| 233 | College Station-Bryan, TX | 5.2 |
| 234 | Lebanon, PA | 5.2 |
| 235 | Anchorage, AK | 5.2 |
| 236 | Chambersburg-Waynesboro, PA | 5.2 |
| 237 | Charlotte-Concord-Gastonia, NC-SC | 5.2 |
| 238 | Johnson City, TN | 5.2 |
| 239 | Ames, IA | 5.2 |
| 240 | Charleston-North Charleston, SC | 5.2 |
| 241 | Kingston, NY | 5.2 |
| 242 | Springfield, MO | 5.2 |
| 243 | Wilmington, DE-MD-NJ (MSAD) | 5.2 |
| 244 | Chattanooga, TN-GA | 5.2 |
| 245 | Morgantown, WV | 5.2 |
| 246 | Norwich-New London, CT | 5.2 |
| 247 | Racine, WI | 5.2 |
| 248 | California-Lexington Park, MD | 5.2 |
| 249 | Hanford-Corcoran, CA | 5.2 |
| 250 | Knoxville, TN | 5.1 |
| 251 | Rapid City, SD | 5.1 |
| 252 | Lexington-Fayette, KY | 5.1 |
| 253 | Mankato, MN | 5.1 |
| 254 | North Port-Sarasota-Bradenton, FL | 5.1 |
| 255 | Poughkeepsie-Newburgh-Middletown, NY | 5.1 |
| 256 | Athens-Clarke County, GA | 5.1 |
| 257 | Hickory-Lenoir-Morganton, NC | 5.1 |
| 258 | Richmond, VA | 5 |
| 259 | Sebastian-Vero Beach, FL | 5 |
| 260 | Baltimore-Columbia-Towson, MD | 5 |
| 261 | Casper, WY | 5 |
| 262 | Cleveland, TN | 5 |
| 263 | Miami-Miami Beach-Kendall, FL (MSAD) | 5 |
| 264 | Fayetteville-Springdale-Rogers, AR | 5 |
| 265 | Las Cruces, NM | 4.9 |
| 266 | New Brunswick-Lakewood, NJ (MSAD) | 5 |
| 267 | Rochester, MN | 4.9 |
| 268 | Charlottesville, VA | 4.9 |
| 269 | Huntsville, AL | 4.9 |
| 270 | Roanoke, VA | 4.9 |
| 271 | Winchester, VA-WV | 4.9 |
| 272 | Albuquerque, NM | 4.9 |
| 273 | Bakersfield, CA | 4.9 |
| 274 | Lewiston-Auburn, ME | 4.9 |
| 275 | Midland, TX | 4.8 |
| 276 | Eau Claire, WI | 4.8 |
| 277 | Manchester-Nashua, NH | 4.8 |
| 278 | Sheboygan, WI | 4.8 |
| 279 | Wilmington, NC | 4.8 |
| 280 | Appleton, WI | 4.8 |
| 281 | Jefferson City, MO | 4.8 |
| 282 | Lincoln, NE | 4.8 |
| 283 | Minneapolis-St. Paul-Bloomington, MN-WI | 4.8 |
| 284 | Decatur, AL | 4.7 |
| 285 | Springfield, MA | 4.7 |
| 286 | Tucson, AZ | 4.7 |
| 287 | Visalia, CA | 4.8 |
| 288 | Ann Arbor, MI | 4.7 |
| 289 | Gettysburg, PA | 4.7 |
| 290 | Green Bay, WI | 4.7 |
| 291 | Salisbury, MD-DE | 4.7 |
| 292 | Milwaukee-Waukesha, WI | 4.7 |
| 293 | Montgomery County-Bucks County-Chester County, PA (MSAD) | 4.6 |
| 294 | St. Cloud, MN | 4.6 |
| 295 | State College, PA | 4.6 |
| 296 | Colorado Springs, CO | 4.6 |
| 297 | El Centro, CA | 4.6 |
| 298 | Gainesville, GA | 4.6 |
| 299 | Iowa City, IA | 4.6 |
| 300 | Lawrence, KS | 4.6 |
| 301 | Nassau County-Suffolk County, NY (MSAD) | 4.5 |
| 302 | Pittsfield, MA | 4.5 |
| 303 | Washington-Arlington-Alexandria, DC-VA-MD-WV (MSAD) | 4.5 |
| 304 | Durham-Chapel Hill, NC | 4.5 |
| 305 | Madison, WI | 4.5 |
| 306 | Nashville-Davidson--Murfreesboro--Franklin, TN | 4.5 |
| 307 | Phoenix-Mesa-Chandler, AZ | 4.5 |
| 308 | Olympia-Lacey-Tumwater, WA | 4.5 |
| 309 | Raleigh-Cary, NC | 4.5 |
| 310 | Rockingham County-Strafford County, NH (MSAD) | 4.5 |
| 311 | Staunton, VA | 4.5 |
| 312 | Bridgeport-Stamford-Norwalk, CT | 4.4 |
| 313 | Frederick-Gaithersburg-Rockville, MD (MSAD) | 4.4 |
| 314 | Las Vegas-Henderson-Paradise, NV | 4.4 |
| 315 | Naples-Marco Island, FL | 4.4 |
| 316 | Fresno, CA | 4.4 |
| 317 | Hilton Head Island-Bluffton, SC | 4.4 |
| 318 | Lake Havasu City-Kingman, AZ | 4.4 |
| 319 | Sioux Falls, SD | 4.4 |
| 320 | Asheville, NC | 4.4 |
| 321 | Austin-Round Rock-Georgetown, TX | 4.3 |
| 322 | Chico, CA | 4.3 |
| 323 | Pueblo, CO | 4.3 |
| 324 | Vallejo, CA | 4.3 |
| 325 | Bismarck, ND | 4.2 |
| 326 | Modesto, CA | 4.2 |
| 327 | Riverside-San Bernardino-Ontario, CA | 4.2 |
| 328 | Yakima, WA | 4.2 |
| 329 | Fargo, ND-MN | 4.2 |
| 330 | Tacoma-Lakewood, WA (MSAD) | 4.2 |
| 331 | The Villages, FL | 4.2 |
| 332 | Worcester, MA-CT | 4.2 |
| 333 | Albany-Lebanon, OR | 4.1 |
| 334 | Great Falls, MT | 4.1 |
| 335 | Merced, CA | 4.1 |
| 336 | Portland-South Portland, ME | 4.2 |
| 337 | Harrisonburg, VA | 4.1 |
| 338 | Redding, CA | 4.1 |
| 339 | Salem, OR | 4 |
| 340 | Santa Fe, NM | 4 |
| 341 | Flagstaff, AZ | 4 |
| 342 | Greeley, CO | 4 |
| 343 | Newark, NJ-PA (MSAD) | 4 |
| 344 | Stockton, CA | 4 |
| 345 | Boston, MA (MSAD) | 3.9 |
| 346 | Cheyenne, WY | 4 |
| 347 | Kennewick-Richland, WA | 3.9 |
| 348 | Medford, OR | 3.9 |
| 349 | Bremerton-Silverdale-Port Orchard, WA | 3.9 |
| 350 | Denver-Aurora-Lakewood, CO | 3.9 |
| 351 | Madera, CA | 3.9 |
| 352 | Yuba City, CA | 3.8 |
| 353 | Eugene-Springfield, OR | 3.8 |
| 354 | Prescott Valley-Prescott, AZ | 3.8 |
| 355 | Providence-Warwick, RI-MA | 3.8 |
| 356 | Sacramento-Roseville-Folsom, CA | 3.8 |
| 357 | Billings, MT | 3.7 |
| 358 | Fort Collins, CO | 3.7 |
| 359 | Oxnard-Thousand Oaks-Ventura, CA | 3.7 |
| 360 | Portland-Vancouver-Hillsboro, OR-WA | 3.7 |
| 361 | Cambridge-Newton-Framingham, MA (MSAD) | 3.6 |
| 362 | Reno, NV | 3.6 |
| 363 | Salt Lake City, UT | 3.6 |
| 364 | Spokane-Spokane Valley, WA | 3.6 |
| 365 | Barnstable Town, MA | 3.6 |
| 366 | Lewiston, ID-WA | 3.6 |
| 367 | Longview, WA | 3.6 |
| 368 | Pocatello, ID | 3.6 |
| 369 | Bend, OR | 3.5 |
| 370 | Boise City, ID | 3.5 |
| 371 | Grand Junction, CO | 3.6 |
| 372 | St. George, UT | 3.5 |
| 373 | Idaho Falls, ID | 3.5 |
| 374 | Ogden-Clearfield, UT | 3.5 |
| 375 | Santa Maria-Santa Barbara, CA | 3.5 |
| 376 | Wenatchee, WA | 3.4 |
| 377 | Corvallis, OR | 3.4 |
| 378 | New York-Jersey City-White Plains, NY-NJ (MSAD) | 3.3 |
| 379 | Provo-Orem, UT | 3.4 |
| 380 | Santa Rosa-Petaluma, CA | 3.4 |
| 381 | Bellingham, WA | 3.3 |
| 382 | Boulder, CO | 3.3 |
| 383 | San Diego-Chula Vista-Carlsbad, CA | 3.3 |
| 384 | Twin Falls, ID | 3.3 |
| 385 | Coeur d'Alene, ID | 3.3 |
| 386 | Ocean City, NJ | 3.3 |
| 387 | Salinas, CA | 3.2 |
| 388 | Walla Walla, WA | 3.2 |
| 389 | Anaheim-Santa Ana-Irvine, CA (MSAD) | 3.2 |
| 390 | Grants Pass, OR | 3.2 |
| 391 | Logan, UT-ID | 3.2 |
| 392 | Seattle-Bellevue-Kent, WA (MSAD) | 3.2 |
| 393 | Missoula, MT | 3.1 |
| 394 | Napa, CA | 3.1 |
| 395 | San Luis Obispo-Paso Robles, CA | 3.1 |
| 396 | Urban Honolulu, HI | 3.1 |
| 397 | Carson City, NV | 2.8 |
| 398 | Los Angeles-Long Beach-Glendale, CA (MSAD) | 3 |
| 399 | Mount Vernon-Anacortes, WA | 3 |
| 400 | Oakland-Berkeley-Livermore, CA (MSAD) | 2.9 |
| 401 | Kahului-Wailuku-Lahaina, HI | 2.7 |
| 402 | San Francisco-San Mateo-Redwood City, CA (MSAD) | 2.2 |
| 403 | San Jose-Sunnyvale-Santa Clara, CA | 2.6 |
| 404 | San Rafael, CA (MSAD) | 2.4 |
| 405 | Santa Cruz-Watsonville, CA | 2.7 |
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