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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.
Using these charts and Studies, HousingAlerts.com deciphers the data into two broad categories:
1) Market Momentum (the Six Trigger Alert Report or 'STAR')
and...
2) TA Point Score (TAPS)
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 | 10.9 |
| 2 | Danville, IL | 13.8 |
| 3 | Elmira, NY | 10.6 |
| 4 | Johnstown, PA | 10.9 |
| 5 | Corpus Christi, TX | 10.3 |
| 6 | Decatur, IL | 10.4 |
| 7 | McAllen-Edinburg-Mission, TX | 10.4 |
| 8 | Wichita Falls, TX | 10.4 |
| 9 | Abilene, TX | 10 |
| 10 | Beckley, WV | 10.2 |
| 11 | Charleston, WV | 9.9 |
| 12 | Muncie, IN | 9.7 |
| 13 | Detroit-Dearborn-Livonia, MI (MSAD) | 9.5 |
| 14 | El Paso, TX | 9.5 |
| 15 | Odessa, TX | 9.7 |
| 16 | Pine Bluff, AR | 9.6 |
| 17 | Carbondale-Marion, IL | 9.4 |
| 18 | Hinesville, GA | 9.4 |
| 19 | Terre Haute, IN | 9.5 |
| 20 | Watertown-Fort Drum, NY | 9.5 |
| 21 | Bay City, MI | 9.3 |
| 22 | Huntington-Ashland, WV-KY-OH | 9.2 |
| 23 | Saginaw, MI | 9.2 |
| 24 | San Angelo, TX | 9.4 |
| 25 | Beaumont-Port Arthur, TX | 9.2 |
| 26 | Texarkana, TX-AR | 9 |
| 27 | Vineland-Bridgeton, NJ | 9 |
| 28 | Weirton-Steubenville, WV-OH | 9.2 |
| 29 | Battle Creek, MI | 8.9 |
| 30 | Binghamton, NY | 8.8 |
| 31 | Lubbock, TX | 8.8 |
| 32 | Montgomery, AL | 8.9 |
| 33 | Albany, GA | 8.7 |
| 34 | Enid, OK | 8.6 |
| 35 | Fayetteville, NC | 8.6 |
| 36 | Yuma, AZ | 8.6 |
| 37 | Amarillo, TX | 8.5 |
| 38 | Kankakee, IL | 8.4 |
| 39 | Lawton, OK | 8.4 |
| 40 | Peoria, IL | 8.4 |
| 41 | Davenport-Moline-Rock Island, IA-IL | 8.4 |
| 42 | Florence, SC | 8.4 |
| 43 | Syracuse, NY | 8.4 |
| 44 | Wheeling, WV-OH | 8.4 |
| 45 | Altoona, PA | 8.3 |
| 46 | Hattiesburg, MS | 8.4 |
| 47 | Kokomo, IN | 8.3 |
| 48 | Warner Robins, GA | 8.4 |
| 49 | East Stroudsburg, PA | 8.3 |
| 50 | Fairbanks, AK | 8.3 |
| 51 | Rochester, NY | 8.3 |
| 52 | Victoria, TX | 8.3 |
| 53 | Laredo, TX | 8.2 |
| 54 | Longview, TX | 8.2 |
| 55 | Rockford, IL | 8.2 |
| 56 | Sumter, SC | 8.3 |
| 57 | Columbus, GA-AL | 8.1 |
| 58 | Goldsboro, NC | 8.2 |
| 59 | Philadelphia, PA (MSAD) | 8.2 |
| 60 | Waterloo-Cedar Falls, IA | 8.2 |
| 61 | Gulfport-Biloxi, MS | 8.1 |
| 62 | Lima, OH | 8.1 |
| 63 | New Bern, NC | 8.1 |
| 64 | Scranton--Wilkes-Barre, PA | 8.1 |
| 65 | Farmington, NM | 8 |
| 66 | Houma-Thibodaux, LA | 8 |
| 67 | Macon-Bibb County, GA | 8 |
| 68 | South Bend-Mishawaka, IN-MI | 8 |
| 69 | Columbia, SC | 7.9 |
| 70 | Greenville, NC | 8 |
| 71 | Jackson, MI | 7.9 |
| 72 | Mobile, AL | 8 |
| 73 | Brunswick, GA | 7.9 |
| 74 | Jackson, MS | 7.9 |
| 75 | Springfield, IL | 7.9 |
| 76 | Topeka, KS | 7.9 |
| 77 | Anniston-Oxford, AL | 7.9 |
| 78 | Flint, MI | 7.9 |
| 79 | Lafayette, LA | 7.9 |
| 80 | Shreveport-Bossier City, LA | 7.8 |
| 81 | Sierra Vista-Douglas, AZ | 7.8 |
| 82 | Evansville, IN-KY | 7.8 |
| 83 | Jonesboro, AR | 7.8 |
| 84 | Lakeland-Winter Haven, FL | 7.8 |
| 85 | Williamsport, PA | 7.8 |
| 86 | Augusta-Richmond County, GA-SC | 7.7 |
| 87 | Fort Smith, AR-OK | 7.7 |
| 88 | Utica-Rome, NY | 7.7 |
| 89 | Wichita, KS | 7.7 |
| 90 | Alexandria, LA | 7.7 |
| 91 | Houston-The Woodlands-Sugar Land, TX | 7.7 |
| 92 | Toledo, OH | 7.7 |
| 93 | Youngstown-Warren-Boardman, OH-PA | 7.7 |
| 94 | Atlantic City-Hammonton, NJ | 7.7 |
| 95 | Erie, PA | 7.7 |
| 96 | Joplin, MO | 7.6 |
| 97 | Panama City, FL | 7.7 |
| 98 | Lafayette-West Lafayette, IN | 7.6 |
| 99 | Midland, MI | 7.6 |
| 100 | Sebring-Avon Park, FL | 7.6 |
| 101 | St. Joseph, MO-KS | 7.6 |
| 102 | Columbus, IN | 7.5 |
| 103 | Duluth, MN-WI | 7.6 |
| 104 | San Antonio-New Braunfels, TX | 7.6 |
| 105 | Tyler, TX | 7.6 |
| 106 | Blacksburg-Christiansburg, VA | 7.5 |
| 107 | Dayton-Kettering, OH | 7.5 |
| 108 | Lansing-East Lansing, MI | 7.5 |
| 109 | Michigan City-La Porte, IN | 7.5 |
| 110 | Baton Rouge, LA | 7.5 |
| 111 | Fort Worth-Arlington-Grapevine, TX (MSAD) | 7.5 |
| 112 | Monroe, LA | 7.5 |
| 113 | Rocky Mount, NC | 7.5 |
| 114 | Cumberland, MD-WV | 7.4 |
| 115 | Jacksonville, NC | 7.4 |
| 116 | Monroe, MI | 7.5 |
| 117 | Sioux City, IA-NE-SD | 7.4 |
| 118 | Cedar Rapids, IA | 7.4 |
| 119 | Hot Springs, AR | 7.4 |
| 120 | Little Rock-North Little Rock-Conway, AR | 7.4 |
| 121 | Pittsburgh, PA | 7.4 |
| 122 | Bloomington, IL | 7.4 |
| 123 | Muskegon, MI | 7.4 |
| 124 | Parkersburg-Vienna, WV | 7.3 |
| 125 | Springfield, OH | 7.4 |
| 126 | Glens Falls, NY | 7.3 |
| 127 | Jackson, TN | 7.3 |
| 128 | Ocala, FL | 7.3 |
| 129 | Valdosta, GA | 7.3 |
| 130 | Bloomington, IN | 7.3 |
| 131 | Gadsden, AL | 7.3 |
| 132 | Greensboro-High Point, NC | 7.3 |
| 133 | Waco, TX | 7.3 |
| 134 | New Orleans-Metairie, LA | 7.3 |
| 135 | Oklahoma City, OK | 7.3 |
| 136 | Tampa-St. Petersburg-Clearwater, FL | 7.3 |
| 137 | Tulsa, OK | 7.3 |
| 138 | Cape Girardeau, MO-IL | 7.2 |
| 139 | Champaign-Urbana, IL | 7.2 |
| 140 | Elkhart-Goshen, IN | 7.2 |
| 141 | Mansfield, OH | 7.2 |
| 142 | Killeen-Temple, TX | 7.2 |
| 143 | Morgantown, WV | 7.1 |
| 144 | Owensboro, KY | 7.1 |
| 145 | Rome, GA | 7.1 |
| 146 | Dothan, AL | 7.1 |
| 147 | Lake Charles, LA | 7.1 |
| 148 | Manhattan, KS | 7.1 |
| 149 | Midland, TX | 7.1 |
| 150 | Florence-Muscle Shoals, AL | 7.1 |
| 151 | Fort Lauderdale-Pompano Beach-Sunrise, FL (MSAD) | 7.1 |
| 152 | Norwich-New London, CT | 7.1 |
| 153 | Savannah, GA | 7.1 |
| 154 | Cleveland-Elyria, OH | 7 |
| 155 | Dubuque, IA | 7.1 |
| 156 | Hartford-East Hartford-Middletown, CT | 7 |
| 157 | New Haven-Milford, CT | 7 |
| 158 | Akron, OH | 7 |
| 159 | Harrisburg-Carlisle, PA | 7 |
| 160 | Memphis, TN-MS-AR | 7 |
| 161 | Orlando-Kissimmee-Sanford, FL | 7 |
| 162 | Pensacola-Ferry Pass-Brent, FL | 7 |
| 163 | Camden, NJ (MSAD) | 6.9 |
| 164 | Clarksville, TN-KY | 6.9 |
| 165 | Elizabethtown-Fort Knox, KY | 6.9 |
| 166 | Virginia Beach-Norfolk-Newport News, VA-NC | 7 |
| 167 | Ithaca, NY | 6.9 |
| 168 | Mankato, MN | 6.9 |
| 169 | Tallahassee, FL | 6.9 |
| 170 | York-Hanover, PA | 6.9 |
| 171 | Chicago-Naperville-Evanston, IL (MSAD) | 6.9 |
| 172 | Fort Wayne, IN | 6.9 |
| 173 | Homosassa Springs, FL | 6.9 |
| 174 | Oshkosh-Neenah, WI | 6.9 |
| 175 | Buffalo-Cheektowaga, NY | 6.9 |
| 176 | Canton-Massillon, OH | 6.8 |
| 177 | Dallas-Plano-Irving, TX (MSAD) | 6.8 |
| 178 | Sherman-Denison, TX | 6.8 |
| 179 | Birmingham-Hoover, AL | 6.8 |
| 180 | Elgin, IL (MSAD) | 6.8 |
| 181 | Hagerstown-Martinsburg, MD-WV | 6.8 |
| 182 | La Crosse-Onalaska, WI-MN | 6.8 |
| 183 | Allentown-Bethlehem-Easton, PA-NJ | 6.7 |
| 184 | Atlanta-Sandy Springs-Alpharetta, GA | 6.7 |
| 185 | Dalton, GA | 6.8 |
| 186 | Palm Bay-Melbourne-Titusville, FL | 6.7 |
| 187 | Grand Forks, ND-MN | 6.7 |
| 188 | Janesville-Beloit, WI | 6.7 |
| 189 | Tuscaloosa, AL | 6.7 |
| 190 | West Palm Beach-Boca Raton-Boynton Beach, FL (MSAD) | 6.7 |
| 191 | Bangor, ME | 6.7 |
| 192 | Hammond, LA | 6.7 |
| 193 | Lake County-Kenosha County, IL-WI (MSAD) | 6.6 |
| 194 | Louisville/Jefferson County, KY-IN | 6.6 |
| 195 | Albany-Schenectady-Troy, NY | 6.6 |
| 196 | Indianapolis-Carmel-Anderson, IN | 6.6 |
| 197 | Port St. Lucie, FL | 6.6 |
| 198 | Punta Gorda, FL | 6.6 |
| 199 | Ames, IA | 6.6 |
| 200 | Daphne-Fairhope-Foley, AL | 6.6 |
| 201 | Gainesville, FL | 6.6 |
| 202 | St. Louis, MO-IL | 6.6 |
| 203 | Cape Coral-Fort Myers, FL | 6.5 |
| 204 | Cincinnati, OH-KY-IN | 6.5 |
| 205 | Hanford-Corcoran, CA | 6.5 |
| 206 | Kansas City, MO-KS | 6.5 |
| 207 | Albuquerque, NM | 6.5 |
| 208 | Dover, DE | 6.5 |
| 209 | Grand Island, NE | 6.5 |
| 210 | Jacksonville, FL | 6.5 |
| 211 | California-Lexington Park, MD | 6.5 |
| 212 | Gary, IN (MSAD) | 6.5 |
| 213 | Morristown, TN | 6.5 |
| 214 | Rochester, MN | 6.5 |
| 215 | El Centro, CA | 6.4 |
| 216 | Kingston, NY | 6.4 |
| 217 | Omaha-Council Bluffs, NE-IA | 6.4 |
| 218 | Reading, PA | 6.4 |
| 219 | Deltona-Daytona Beach-Ormond Beach, FL | 6.4 |
| 220 | Kalamazoo-Portage, MI | 6.4 |
| 221 | Las Cruces, NM | 6.4 |
| 222 | Winston-Salem, NC | 6.4 |
| 223 | Bowling Green, KY | 6.4 |
| 224 | Grand Rapids-Kentwood, MI | 6.4 |
| 225 | Trenton-Princeton, NJ | 6.4 |
| 226 | Wilmington, DE-MD-NJ (MSAD) | 6.3 |
| 227 | Anchorage, AK | 6.3 |
| 228 | Charleston-North Charleston, SC | 6.3 |
| 229 | Niles, MI | 6.3 |
| 230 | Warren-Troy-Farmington Hills, MI (MSAD) | 6.3 |
| 231 | Chambersburg-Waynesboro, PA | 6.3 |
| 232 | Greenville-Anderson, SC | 6.3 |
| 233 | Lancaster, PA | 6.3 |
| 234 | Sebastian-Vero Beach, FL | 6.3 |
| 235 | Auburn-Opelika, AL | 6.3 |
| 236 | Lebanon, PA | 6.2 |
| 237 | Miami-Miami Beach-Kendall, FL (MSAD) | 6.2 |
| 238 | Wausau-Weston, WI | 6.2 |
| 239 | Bloomsburg-Berwick, PA | 6.2 |
| 240 | Columbia, MO | 6.2 |
| 241 | Kingsport-Bristol, TN-VA | 6.2 |
| 242 | North Port-Sarasota-Bradenton, FL | 6.2 |
| 243 | Tucson, AZ | 6.2 |
| 244 | Baltimore-Columbia-Towson, MD | 6.2 |
| 245 | Des Moines-West Des Moines, IA | 6.2 |
| 246 | Gettysburg, PA | 6.2 |
| 247 | Minneapolis-St. Paul-Bloomington, MN-WI | 6.2 |
| 248 | Lawrence, KS | 6.2 |
| 249 | Richmond, VA | 6.1 |
| 250 | Spartanburg, SC | 6.1 |
| 251 | Springfield, MO | 6.2 |
| 252 | Bakersfield, CA | 6.1 |
| 253 | Burlington, NC | 6.1 |
| 254 | Iowa City, IA | 6.1 |
| 255 | Lynchburg, VA | 6.1 |
| 256 | Charlotte-Concord-Gastonia, NC-SC | 6.1 |
| 257 | Chattanooga, TN-GA | 6.1 |
| 258 | Fond du Lac, WI | 6.1 |
| 259 | Pittsfield, MA | 6.1 |
| 260 | Crestview-Fort Walton Beach-Destin, FL | 6.1 |
| 261 | Knoxville, TN | 6.1 |
| 262 | Lexington-Fayette, KY | 6.1 |
| 263 | Racine, WI | 6.1 |
| 264 | Asheville, NC | 6 |
| 265 | Lewiston-Auburn, ME | 6 |
| 266 | Myrtle Beach-Conway-North Myrtle Beach, SC-NC | 6 |
| 267 | Poughkeepsie-Newburgh-Middletown, NY | 6 |
| 268 | College Station-Bryan, TX | 6 |
| 269 | Decatur, AL | 6 |
| 270 | Redding, CA | 6 |
| 271 | Winchester, VA-WV | 6 |
| 272 | Johnson City, TN | 5.9 |
| 273 | Pueblo, CO | 5.9 |
| 274 | Roanoke, VA | 5.9 |
| 275 | St. Cloud, MN | 5.9 |
| 276 | Colorado Springs, CO | 5.9 |
| 277 | Hickory-Lenoir-Morganton, NC | 5.9 |
| 278 | Springfield, MA | 5.9 |
| 279 | Visalia, CA | 5.9 |
| 280 | Columbus, OH | 5.9 |
| 281 | Huntsville, AL | 5.8 |
| 282 | Lincoln, NE | 5.9 |
| 283 | State College, PA | 5.8 |
| 284 | Burlington-South Burlington, VT | 5.8 |
| 285 | Lake Havasu City-Kingman, AZ | 5.8 |
| 286 | Las Vegas-Henderson-Paradise, NV | 5.8 |
| 287 | Puerto Rico, PR | 5.8 |
| 288 | Austin-Round Rock-Georgetown, TX | 5.7 |
| 289 | Casper, WY | 5.8 |
| 290 | Rapid City, SD | 5.8 |
| 291 | Vallejo, CA | 5.7 |
| 292 | Cleveland, TN | 5.7 |
| 293 | Manchester-Nashua, NH | 5.7 |
| 294 | Staunton, VA | 5.7 |
| 295 | Wilmington, NC | 5.7 |
| 296 | Chico, CA | 5.7 |
| 297 | Eau Claire, WI | 5.7 |
| 298 | Fayetteville-Springdale-Rogers, AR | 5.7 |
| 299 | Yakima, WA | 5.6 |
| 300 | Bremerton-Silverdale-Port Orchard, WA | 5.6 |
| 301 | Charlottesville, VA | 5.6 |
| 302 | Harrisonburg, VA | 5.6 |
| 303 | Olympia-Lacey-Tumwater, WA | 5.6 |
| 304 | New Brunswick-Lakewood, NJ (MSAD) | 5.6 |
| 305 | Raleigh-Cary, NC | 5.6 |
| 306 | Riverside-San Bernardino-Ontario, CA | 5.6 |
| 307 | Sheboygan, WI | 5.6 |
| 308 | Fargo, ND-MN | 5.6 |
| 309 | Fresno, CA | 5.5 |
| 310 | Merced, CA | 5.6 |
| 311 | Rockingham County-Strafford County, NH (MSAD) | 5.5 |
| 312 | Ann Arbor, MI | 5.5 |
| 313 | Eugene-Springfield, OR | 5.5 |
| 314 | Jefferson City, MO | 5.5 |
| 315 | Medford, OR | 5.5 |
| 316 | Bridgeport-Stamford-Norwalk, CT | 5.5 |
| 317 | Nassau County-Suffolk County, NY (MSAD) | 5.5 |
| 318 | Portland-Vancouver-Hillsboro, OR-WA | 5.5 |
| 319 | Sioux Falls, SD | 5.5 |
| 320 | Albany-Lebanon, OR | 5.4 |
| 321 | Athens-Clarke County, GA | 5.4 |
| 322 | Bismarck, ND | 5.4 |
| 323 | Tacoma-Lakewood, WA (MSAD) | 5.5 |
| 324 | Worcester, MA-CT | 5.5 |
| 325 | Madison, WI | 5.4 |
| 326 | Modesto, CA | 5.4 |
| 327 | Nashville-Davidson--Murfreesboro--Franklin, TN | 5.4 |
| 328 | Washington-Arlington-Alexandria, DC-VA-MD-WV (MSAD) | 5.4 |
| 329 | Durham-Chapel Hill, NC | 5.4 |
| 330 | Gainesville, GA | 5.3 |
| 331 | Portland-South Portland, ME | 5.3 |
| 332 | Yuba City, CA | 5.3 |
| 333 | Boston, MA (MSAD) | 5.3 |
| 334 | Great Falls, MT | 5.3 |
| 335 | Milwaukee-Waukesha, WI | 5.3 |
| 336 | Stockton, CA | 5.3 |
| 337 | Appleton, WI | 5.2 |
| 338 | Frederick-Gaithersburg-Rockville, MD (MSAD) | 5.2 |
| 339 | Reno, NV | 5.3 |
| 340 | Salisbury, MD-DE | 5.2 |
| 341 | Green Bay, WI | 5.2 |
| 342 | Montgomery County-Bucks County-Chester County, PA (MSAD) | 5.2 |
| 343 | Sacramento-Roseville-Folsom, CA | 5.2 |
| 344 | Salem, OR | 5.2 |
| 345 | Flagstaff, AZ | 5.2 |
| 346 | Hilton Head Island-Bluffton, SC | 5.1 |
| 347 | Kennewick-Richland, WA | 5.1 |
| 348 | Naples-Marco Island, FL | 5.1 |
| 349 | Cheyenne, WY | 5.1 |
| 350 | Madera, CA | 5 |
| 351 | Pocatello, ID | 5 |
| 352 | Providence-Warwick, RI-MA | 5 |
| 353 | Greeley, CO | 4.9 |
| 354 | Lewiston, ID-WA | 4.9 |
| 355 | Oxnard-Thousand Oaks-Ventura, CA | 5 |
| 356 | Prescott Valley-Prescott, AZ | 5 |
| 357 | Denver-Aurora-Lakewood, CO | 4.9 |
| 358 | Newark, NJ-PA (MSAD) | 4.9 |
| 359 | Phoenix-Mesa-Chandler, AZ | 4.9 |
| 360 | Spokane-Spokane Valley, WA | 4.9 |
| 361 | Cambridge-Newton-Framingham, MA (MSAD) | 4.8 |
| 362 | Longview, WA | 4.9 |
| 363 | Santa Maria-Santa Barbara, CA | 4.8 |
| 364 | Twin Falls, ID | 4.8 |
| 365 | Boise City, ID | 4.8 |
| 366 | Grand Junction, CO | 4.7 |
| 367 | Salt Lake City, UT | 4.7 |
| 368 | Seattle-Bellevue-Kent, WA (MSAD) | 4.7 |
| 369 | Barnstable Town, MA | 4.7 |
| 370 | Billings, MT | 4.7 |
| 371 | Idaho Falls, ID | 4.7 |
| 372 | Ogden-Clearfield, UT | 4.6 |
| 373 | Corvallis, OR | 4.6 |
| 374 | Fort Collins, CO | 4.6 |
| 375 | Santa Rosa-Petaluma, CA | 4.6 |
| 376 | Walla Walla, WA | 4.6 |
| 377 | New York-Jersey City-White Plains, NY-NJ (MSAD) | 4.6 |
| 378 | Ocean City, NJ | 4.5 |
| 379 | San Diego-Chula Vista-Carlsbad, CA | 4.6 |
| 380 | Santa Fe, NM | 4.5 |
| 381 | Carson City, NV | 4.5 |
| 382 | Grants Pass, OR | 4.4 |
| 383 | The Villages, FL | 4.4 |
| 384 | Wenatchee, WA | 4.4 |
| 385 | Bend, OR | 4.3 |
| 386 | Boulder, CO | 4.2 |
| 387 | Coeur d'Alene, ID | 4.3 |
| 388 | St. George, UT | 4.4 |
| 389 | Bellingham, WA | 4.2 |
| 390 | Mount Vernon-Anacortes, WA | 4.2 |
| 391 | Santa Cruz-Watsonville, CA | 4.2 |
| 392 | Urban Honolulu, HI | 4.2 |
| 393 | Anaheim-Santa Ana-Irvine, CA (MSAD) | 4.1 |
| 394 | Missoula, MT | 4 |
| 395 | Napa, CA | 4.1 |
| 396 | Provo-Orem, UT | 4.1 |
| 397 | Logan, UT-ID | 3.9 |
| 398 | Los Angeles-Long Beach-Glendale, CA (MSAD) | 3.9 |
| 399 | Oakland-Berkeley-Livermore, CA (MSAD) | 3.9 |
| 400 | San Luis Obispo-Paso Robles, CA | 4 |
| 401 | Kahului-Wailuku-Lahaina, HI | 3.3 |
| 402 | Salinas, CA | 3.4 |
| 403 | San Francisco-San Mateo-Redwood City, CA (MSAD) | 3 |
| 404 | San Jose-Sunnyvale-Santa Clara, CA | 3 |
| 405 | San Rafael, CA (MSAD) | 3 |
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