United States — Regional Market index

@@ -1,29 +1,31 @@
---
schema: foundry-doc-v1
title: "United States — Regional Market Index"
title: "United States — Regional Market index"
slug: atlas-united-states
category: markets
type: topic
index_group: north-america-regional-markets
content_type: topic
quality: stub
quality: complete
status: active
audience: customer-woodfine
bcsc_class: current-fact
language_protocol: PROSE-TOPIC
keynote: false
last_edited: 2026-06-29
last_edited: 2026-07-16
editor: woodfine-editorial
short_description: "Ranked index of US regional commercial real estate markets meeting co-location screening thresholds across all major census regions."
paired_with: markets/atlas-united-states.es.md
---

The **United States regional market index** ranks US cities and metropolitan statistical
areas outside major-metro central business districts that meet the population, disposable
income, and retail infrastructure thresholds established by the [[about-regional-markets|co-location
regional market framework]]. The United States contains the highest concentration of qualifying
regional markets in the [[atlas-top-600-north-america|TOP600 North America]] index: the country's
size and economic geography produce hundreds of metropolitan areas in the 50,000–500,000
population range with high disposable income and established power centre investment.
areas outside major-metro central business districts. Each meets the population, disposable
income, and retail infrastructure thresholds established by the [[about-regional-markets-system|co-location
regional market framework]]. The United States contributes 369 of the 400 markets on the
[[atlas-top-400-north-america|Top 400 Regional Markets — North America]] list — by far the
largest national share. The country's size and economic geography produce hundreds of
suburban markets in the 15–80 km commuter belt of major metropolitan areas with high
disposable income and established power centre investment.

## National context

@@ -31,13 +33,13 @@ The United States regional commercial real estate market is characterised by pro
regional income variation, deep national retail penetration, and a well-developed suburban
power centre format that provides consistent site infrastructure across most qualifying markets.
Unlike Canada and European comparables, the US market operates without federal land-use
planning constraints, resulting in uniform power centre development across income-qualified
planning constraints. The result is uniform power centre development across income-qualified
markets in all fifty states.

The primary screening signals — Costco warehouse clubs, Home Depot and Lowe's home-improvement
stores, Walmart and Target general merchandise superstores — are present in virtually every US
market above 80,000 population that clears the household income threshold, providing a
consistent and reliable income signal.
market above 80,000 population that clears the household income threshold. Their presence
provides a consistent and reliable income signal.

## Census region coverage

@@ -59,17 +61,419 @@ resort communities are assessed separately given their atypical income compositi
Qualifying markets in upstate New York, Pennsylvania outside Philadelphia and Pittsburgh,
Connecticut, and New Hampshire.

## Sample markets
**Correction (2026-07-16):** of the five previously-listed sample markets, only two verify
against the real TOP400 data below, and only partially. **Greenville–Spartanburg** appears
as "Spartanburg, SC" (rank 45, suburb of Greenville) — the market is real, but ranked under
the smaller of the two paired city names, not the bi-city label used above. **Provo–Orem**
appears as "Provo, UT" (rank 278, suburb of Salt Lake City) — again real, but under a single
city name rather than the paired label. **Fort Collins, Madison (WI), and Spokane do not
appear anywhere among the 369 verified US entries.** As with the other country pages, this
doesn't mean these aren't real markets — it means they are not currently ranked in the
TOP400 co-location screen specifically. The census-region prose above is left as
qualitative regional description rather than rewritten, but should not be read as implying
these five named markets are themselves TOP400 entries under the names given.

| Market | State | Population range | Notes |
|---|---|---|---|
| Fort Collins | Colorado | 350,000–400,000 | CSU anchored; high income; established power centre base |
| Greenville–Spartanburg | South Carolina | 900,000–1,000,000 | Bi-city metro; BMW manufacturing employment |
| Madison | Wisconsin | 670,000–700,000 | State capital + university; strong income |
| Provo–Orem | Utah | 650,000–700,000 | Tech employment anchor; strong income growth |
| Spokane | Washington | 570,000–600,000 | Inland Pacific Northwest hub; regional retail centre |
## Top 25

The United States' 369 TOP400 entries span the country's full income and metropolitan
range. The twenty-five highest-scoring US markets are listed below, using their continental
rank (the US does not have a separate scoring track — this is a US-filtered view of the
same 400-market ranking).

| Rank | Market | Suburb of | km | T1 | T2 | T3 | Civic | Score |
|---|---|---|---|---|---|---|---|---|
| 1 | [[us-tx-plano|Plano, TX]] | Dallas | 28 | 3 | 2 | 1 | Yes | 25.5 |
| 2 | Mesa, AZ | Phoenix | 31 | 2 | 2 | 3 | Yes | 22.5 |
| 3 | [[us-tx-frisco\|Frisco, TX]] | Dallas | 44 | 3 | 1 | 0 | Yes | 21.0 |
| 5 | Santa Clarita, CA | Los Angeles | 48 | 2 | 2 | 0 | Yes | 18.0 |
| 6 | Nashua, NH | Boston | 56 | 2 | 2 | 0 | Yes | 18.0 |
| 7 | Warwick, RI | Providence | 19 | 2 | 1 | 1 | Yes | 16.5 |
| 8 | McKinney, TX | Dallas | 46 | 1 | 2 | 2 | Yes | 15.0 |
| 10 | Chesapeake, VA | Virginia Beach | 31 | 2 | 1 | 0 | Yes | 15.0 |
| 13 | Irvine, CA | Riverside | 52 | 2 | 0 | 1 | Yes | 13.5 |
| 14 | Pembroke Pines, FL | Miami | 30 | 1 | 1 | 2 | Yes | 12.0 |
| 15 | Chandler, AZ | Phoenix | 28 | 1 | 1 | 2 | Yes | 12.0 |
| 16 | Niles, IL | Chicago | 29 | 1 | 2 | 0 | Yes | 12.0 |
| 17 | Scottsdale, AZ | Phoenix | 23 | 1 | 2 | 0 | Yes | 12.0 |
| 19 | Clearwater, FL | Tampa | 28 | 2 | 0 | 0 | Yes | 12.0 |
| 20 | Joliet, IL | Chicago | 56 | 2 | 0 | 0 | Yes | 12.0 |
| 21 | Levittown, NY | New York | 33 | 2 | 0 | 0 | Yes | 12.0 |
| 22 | Murrieta, CA | Riverside | 49 | 2 | 0 | 0 | Yes | 12.0 |
| 23 | Corona, CA | Riverside | 21 | 2 | 0 | 0 | Yes | 12.0 |
| 24 | Maple Grove, MN | Minneapolis | 21 | 2 | 0 | 0 | Yes | 12.0 |
| 25 | Danvers, MA | Boston | 23 | 2 | 0 | 0 | Yes | 12.0 |
| 26 | Livonia, MI | Detroit | — | 2 | 0 | 0 | — | 12.0 |
| 27 | Novi, MI | Detroit | — | 2 | 0 | 0 | — | 12.0 |
| 28 | Horsham, PA | Philadelphia | — | 2 | 0 | 0 | — | 12.0 |
| 29 | Buford, GA | Atlanta | — | 1 | 1 | 1 | — | 10.5 |
| 30 | Pearland, TX | Houston | — | 1 | 1 | 1 | — | 10.5 |

## Appendix: Full Ranked Table

This table is a filtered, US-specific view of the continental
[[atlas-top-400-north-america|Top 400 Regional Markets — North America]] table — not a
separate dataset — so every rank, score, and tier count matches the continental table
exactly and updates automatically if that table is corrected. Rank numbers are the
market's continental rank (not renumbered for this page), so gaps in the sequence below
are Canadian or Mexican entries filtered out.

**Data-anomaly flag (2026-07-16), not resolved:** two of the 369 rows tagged `country: US`
in the continental table read as non-US geography — rank 106, "Baja California" (a Mexican
state, not a US place name), suburb of Tijuana; and rank 194, "Sumas, BC" (Vancouver's
suburb-of reference and "BC" province-style suffix both read as Canadian, though a real US
border town named Sumas exists in Washington state). Both are included below because they
carry the `US` tag in the source table and this page is a mechanical filter of that field —
not because the geography has been confirmed. This is flagged for the continental table's
own correction, not silently dropped or silently kept without comment.

| Rank | Market | Suburb of | km | T1 | T2 | T3 | Civic | Score |
|---|---|---|---|---|---|---|---|---|
| 31 | Coral Springs, FL | Miami | — | 1 | 1 | 1 | — | 10.5 |
| 32 | Overland Park, KS | Kansas City | — | 1 | 1 | 1 | — | 10.5 |
| 33 | Grand Prairie, TX | Dallas | — | 1 | 1 | 1 | — | 10.5 |
| 34 | Moorestown-Lenola, NJ | Philadelphia | — | 1 | 0 | 2 | — | 9.0 |
| 35 | [[us-az-tempe\|Tempe, AZ]] | Phoenix | — | 1 | 0 | 2 | — | 9.0 |
| 37 | Brandon, FL | Tampa | — | 1 | 1 | 0 | — | 9.0 |
| 38 | Huntington Beach, CA | Los Angeles | — | 1 | 1 | 0 | — | 9.0 |
| 39 | Anaheim, CA | Los Angeles | — | 1 | 1 | 0 | — | 9.0 |
| 40 | Stockbridge, GA | Atlanta | — | 1 | 1 | 0 | — | 9.0 |
| 41 | La Habra, CA | Los Angeles | — | 1 | 1 | 0 | — | 9.0 |
| 42 | Brandermill, VA | Richmond | — | 1 | 1 | 0 | — | 9.0 |
| 43 | Irving, TX | Dallas | — | 1 | 1 | 0 | — | 9.0 |
| 44 | Sandy, UT | Salt Lake City | — | 1 | 1 | 0 | — | 9.0 |
| 45 | [[us-sc-greenville-spartanburg|Spartanburg, SC]] | Greenville SC | — | 1 | 1 | 0 | — | 9.0 |
| 46 | The Woodlands, TX | Houston | — | 1 | 1 | 0 | — | 9.0 |
| 47 | Temecula, CA | Riverside | — | 1 | 1 | 0 | — | 9.0 |
| 48 | Denton, TX | Fort Worth | — | 1 | 1 | 0 | — | 9.0 |
| 49 | Appleton, WI | Green Bay | — | 1 | 1 | 0 | — | 9.0 |
| 50 | St. Peters, MO | St. Louis | — | 1 | 1 | 0 | — | 9.0 |
| 51 | Forney, TX | Dallas | — | 1 | 1 | 0 | — | 9.0 |
| 52 | Mount Clemens, MI | Detroit | — | 1 | 1 | 0 | — | 9.0 |
| 53 | Sicklerville, NJ | Philadelphia | — | 1 | 1 | 0 | — | 9.0 |
| 54 | St. Joseph, MO | Kansas City | — | 1 | 1 | 0 | — | 9.0 |
| 55 | Visalia, CA | Fresno | — | 1 | 1 | 0 | — | 9.0 |
| 56 | Lakewood Ranch, FL | Tampa | — | 1 | 1 | 0 | — | 9.0 |
| 57 | Hawthorne, CA | Los Angeles | — | 1 | 1 | 0 | — | 9.0 |
| 58 | Pueblo, CO | Colorado Springs | — | 1 | 1 | 0 | — | 9.0 |
| 59 | Lodi, CA | Stockton | — | 1 | 1 | 0 | — | 9.0 |
| 60 | Victorville, CA | Riverside | — | 1 | 1 | 0 | — | 9.0 |
| 61 | Sandy Springs, GA | Kennesaw | — | 1 | 1 | 0 | — | 9.0 |
| 62 | Gaithersburg, MD | Baltimore | — | 1 | 1 | 0 | — | 9.0 |
| 65 | Olathe, KS | Kansas City | — | 0 | 3 | 0 | — | 9.0 |
| 66 | Johns Creek, GA | Kennesaw | — | 0 | 3 | 0 | — | 9.0 |
| 67 | Commack, NY | New York | — | 2 | 0 | 0 | — | 8.0 |
| 68 | Folsom, CA | Sacramento | — | 1 | 0 | 1 | — | 7.5 |
| 69 | Lone Tree, CO | Denver | — | 1 | 0 | 1 | — | 7.5 |
| 70 | Costa Mesa, CA | Los Angeles | — | 1 | 0 | 1 | — | 7.5 |
| 71 | Garden Grove, CA | Los Angeles | — | 1 | 0 | 1 | — | 7.5 |
| 72 | Slidell, LA | New Orleans | — | 1 | 0 | 1 | — | 7.5 |
| 73 | Hoover, AL | Birmingham | — | 1 | 0 | 1 | — | 7.5 |
| 74 | Murfreesboro, TN | Nashville | — | 1 | 0 | 1 | — | 7.5 |
| 75 | Vacaville, CA | Sacramento | — | 1 | 0 | 1 | — | 7.5 |
| 76 | Davie, FL | Miami | — | 1 | 0 | 1 | — | 7.5 |
| 77 | Palmdale, CA | Los Angeles | — | 1 | 0 | 1 | — | 7.5 |
| 78 | Mechanicsburg, PA | Lancaster | — | 1 | 0 | 1 | — | 7.5 |
| 79 | Newport News, VA | Virginia Beach | — | 1 | 0 | 1 | — | 7.5 |
| 80 | Shakopee, MN | Minneapolis | — | 1 | 0 | 1 | — | 7.5 |
| 81 | Thornton, CO | Denver | — | 1 | 0 | 1 | — | 7.5 |
| 82 | Severn, MD | Baltimore | — | 1 | 0 | 1 | — | 7.5 |
| 83 | Loveland, CO | Denver | — | 1 | 0 | 1 | — | 7.5 |
| 84 | Oceanside, CA | San Diego | — | 1 | 0 | 1 | — | 7.5 |
| 85 | Round Rock, TX | Austin | — | 1 | 0 | 1 | — | 7.5 |
| 86 | Sunrise, FL | Miami | — | 1 | 0 | 1 | — | 7.5 |
| 87 | Niagara Falls, NY | St. Catharines | — | 1 | 0 | 1 | — | 7.5 |
| 88 | The Villages, FL | Orlando | — | 1 | 0 | 1 | — | 7.5 |
| 89 | Burnsville, MN | Minneapolis | — | 1 | 0 | 1 | — | 7.5 |
| 90 | Lakeland, FL | Tampa | — | 1 | 0 | 1 | — | 7.5 |
| 91 | Downey, CA | Los Angeles | — | 1 | 0 | 1 | — | 7.5 |
| 92 | Burbank, CA | Los Angeles | — | 1 | 0 | 1 | — | 7.5 |
| 93 | Lewisville, TX | Dallas | — | 1 | 0 | 1 | — | 7.5 |
| 94 | Methuen Town, MA | Boston | — | 1 | 0 | 1 | — | 7.5 |
| 95 | Southlake, TX | Fort Worth | — | 1 | 0 | 1 | — | 7.5 |
| 96 | Rockwall, TX | Dallas | — | 1 | 0 | 1 | — | 7.5 |
| 97 | Longmont, CO | Denver | — | 1 | 0 | 1 | — | 7.5 |
| 98 | Daytona Beach, FL | Orlando | — | 1 | 0 | 1 | — | 7.5 |
| 103 | Riverview, FL | Tampa | — | 0 | 2 | 1 | — | 7.5 |
| 104 | Asheville, NC | Greenville SC | — | 0 | 2 | 1 | — | 7.5 |
| 105 | Bolingbrook, IL | Chicago | — | 0 | 2 | 1 | — | 7.5 |
| 106 | Baja California | Tijuana | — | 1 | 1 | 0 | — | 6.3 |
| 108 | Goldsboro, NC | Raleigh | — | 1 | 0 | 0 | — | 6.0 |
| 109 | Owasso, OK | Tulsa | — | 1 | 0 | 0 | — | 6.0 |
| 110 | Stratford Downtown, CT | New Haven | — | 1 | 0 | 0 | — | 6.0 |
| 111 | East York, PA | Lancaster | — | 1 | 0 | 0 | — | 6.0 |
| 112 | [[us-ca-torrance\|Torrance, CA]] | Los Angeles | — | 1 | 0 | 0 | — | 6.0 |
| 113 | Lincoln Park, NY | Albany | — | 1 | 0 | 0 | — | 6.0 |
| 114 | Bayou Cane, LA | New Orleans | — | 1 | 0 | 0 | — | 6.0 |
| 115 | San Leandro, CA | San Francisco | — | 1 | 0 | 0 | — | 6.0 |
| 116 | Gastonia, NC | Charlotte | — | 1 | 0 | 0 | — | 6.0 |
| 117 | Lake Magdalene, FL | Tampa | — | 1 | 0 | 0 | — | 6.0 |
| 118 | Hialeah, FL | Miami | — | 1 | 0 | 0 | — | 6.0 |
| 119 | Dania Beach, FL | Miami | — | 1 | 0 | 0 | — | 6.0 |
| 120 | Southaven, MS | Memphis | — | 1 | 0 | 0 | — | 6.0 |
| 121 | Rancho Cordova, CA | Sacramento | — | 1 | 0 | 0 | — | 6.0 |
| 122 | Moore, OK | Oklahoma City | — | 1 | 0 | 0 | — | 6.0 |
| 123 | Kannapolis, NC | Charlotte | — | 1 | 0 | 0 | — | 6.0 |
| 124 | Country Club, FL | Miami | — | 1 | 0 | 0 | — | 6.0 |
| 125 | Millville, NJ | Philadelphia | — | 1 | 0 | 0 | — | 6.0 |
| 126 | Cockeysville, MD | Baltimore | — | 1 | 0 | 0 | — | 6.0 |
| 127 | Goodyear, AZ | Phoenix | — | 1 | 0 | 0 | — | 6.0 |
| 128 | Seabrook Beach, NH | Boston | — | 1 | 0 | 0 | — | 6.0 |
| 129 | Glen Carbon, IL | St. Louis | — | 1 | 0 | 0 | — | 6.0 |
| 130 | Florin, CA | Sacramento | — | 1 | 0 | 0 | — | 6.0 |
| 131 | Elk Grove, CA | Sacramento | — | 1 | 0 | 0 | — | 6.0 |
| 132 | Gulfport, MS | Mobile | — | 1 | 0 | 0 | — | 6.0 |
| 133 | Long Beach, CA | Los Angeles | — | 1 | 0 | 0 | — | 6.0 |
| 134 | Signal Hill, CA | Los Angeles | — | 1 | 0 | 0 | — | 6.0 |
| 135 | Orem, UT | Salt Lake City | — | 1 | 0 | 0 | — | 6.0 |
| 136 | McKee City, NJ | Philadelphia | — | 1 | 0 | 0 | — | 6.0 |
| 137 | West Jordan, UT | Salt Lake City | — | 1 | 0 | 0 | — | 6.0 |
| 138 | Milton, GA | Kennesaw | — | 1 | 0 | 0 | — | 6.0 |
| 139 | Kirkwood, MO | St. Louis | — | 1 | 0 | 0 | — | 6.0 |
| 140 | Wescosville, PA | Wilmington DE | — | 1 | 0 | 0 | — | 6.0 |
| 141 | Tukwila, WA | Seattle | — | 1 | 0 | 0 | — | 6.0 |
| 142 | Eden Prairie, MN | Minneapolis | — | 1 | 0 | 0 | — | 6.0 |
| 143 | King of Prussia, PA | Wilmington DE | — | 1 | 0 | 0 | — | 6.0 |
| 144 | Wake Forest, NC | Raleigh | — | 1 | 0 | 0 | — | 6.0 |
| 145 | Dulles Town Center, VA | Baltimore | — | 1 | 0 | 0 | — | 6.0 |
| 146 | New Castle, DE | Wilmington DE | — | 1 | 0 | 0 | — | 6.0 |
| 147 | East Farmingdale, NY | New York | — | 1 | 0 | 0 | — | 6.0 |
| 148 | Hot Springs, AR | Little Rock | — | 1 | 0 | 0 | — | 6.0 |
| 149 | Puyallup, WA | Tacoma | — | 1 | 0 | 0 | — | 6.0 |
| 150 | American Fork, UT | Salt Lake City | — | 1 | 0 | 0 | — | 6.0 |
| 151 | South Valley Stream, NY | New York | — | 1 | 0 | 0 | — | 6.0 |
| 152 | Inwood, NY | New York | — | 1 | 0 | 0 | — | 6.0 |
| 153 | Mason, OH | Cincinnati | — | 1 | 0 | 0 | — | 6.0 |
| 154 | Independence, MO | Kansas City | — | 1 | 0 | 0 | — | 6.0 |
| 155 | Florida City, FL | Miami | — | 1 | 0 | 0 | — | 6.0 |
| 156 | Laguna Niguel, CA | Riverside | — | 1 | 0 | 0 | — | 6.0 |
| 157 | Hybla Valley, VA | Baltimore | — | 1 | 0 | 0 | — | 6.0 |
| 158 | Seven Fields, PA | Pittsburgh | — | 1 | 0 | 0 | — | 6.0 |
| 159 | Clermont, FL | Orlando | — | 1 | 0 | 0 | — | 6.0 |
| 160 | Riverton, UT | Salt Lake City | — | 1 | 0 | 0 | — | 6.0 |
| 161 | Ballenger Creek, MD | Baltimore | — | 1 | 0 | 0 | — | 6.0 |
| 162 | Gilroy, CA | San Jose | — | 1 | 0 | 0 | — | 6.0 |
| 163 | Skokie, IL | Chicago | — | 1 | 0 | 0 | — | 6.0 |
| 164 | Homeacre-Lyndora, PA | Pittsburgh | — | 1 | 0 | 0 | — | 6.0 |
| 165 | Taylor, MI | Detroit | — | 1 | 0 | 0 | — | 6.0 |
| 166 | Wentzville, MO | St. Louis | — | 1 | 0 | 0 | — | 6.0 |
| 167 | Chicopee, MA | Hartford | — | 1 | 0 | 0 | — | 6.0 |
| 168 | Vernon Hills, IL | Chicago | — | 1 | 0 | 0 | — | 6.0 |
| 169 | Humble, TX | Houston | — | 1 | 0 | 0 | — | 6.0 |
| 170 | San Dimas, CA | Los Angeles | — | 1 | 0 | 0 | — | 6.0 |
| 171 | Ames, IA | Des Moines | — | 1 | 0 | 0 | — | 6.0 |
| 172 | Metuchen, NJ | New York | — | 1 | 0 | 0 | — | 6.0 |
| 173 | St. Petersburg, FL | Tampa | — | 1 | 0 | 0 | — | 6.0 |
| 174 | Oakbrook Terrace, IL | Chicago | — | 1 | 0 | 0 | — | 6.0 |
| 175 | Lady Lake, FL | Orlando | — | 1 | 0 | 0 | — | 6.0 |
| 176 | Merced, CA | Modesto | — | 1 | 0 | 0 | — | 6.0 |
| 177 | Maplewood, MN | Minneapolis | — | 1 | 0 | 0 | — | 6.0 |
| 178 | Martinsville, NJ | New York | — | 1 | 0 | 0 | — | 6.0 |
| 179 | Smith Mills, MA | Providence | — | 1 | 0 | 0 | — | 6.0 |
| 180 | Framingham, MA | Boston | — | 1 | 0 | 0 | — | 6.0 |
| 181 | Pittsfield, MA | Albany | — | 1 | 0 | 0 | — | 6.0 |
| 182 | Harris Hill, NY | Buffalo | — | 1 | 0 | 0 | — | 6.0 |
| 183 | Salinas, CA | San Jose | — | 1 | 0 | 0 | — | 6.0 |
| 184 | Castle Rock, CO | Denver | — | 1 | 0 | 0 | — | 6.0 |
| 185 | Norman, OK | Oklahoma City | — | 1 | 0 | 0 | — | 6.0 |
| 186 | Elgin, IL | Chicago | — | 1 | 0 | 0 | — | 6.0 |
| 187 | Uniondale, NY | New York | — | 1 | 0 | 0 | — | 6.0 |
| 188 | Orland Park, IL | Chicago | — | 1 | 0 | 0 | — | 6.0 |
| 189 | Citrus Heights, CA | Sacramento | — | 1 | 0 | 0 | — | 6.0 |
| 190 | Port Orange, FL | Orlando | — | 1 | 0 | 0 | — | 6.0 |
| 191 | Waterford, CT | Hartford | — | 1 | 0 | 0 | — | 6.0 |
| 192 | Duluth, GA | Atlanta | — | 1 | 0 | 0 | — | 6.0 |
| 193 | Wallingford Center, CT | New Haven | — | 1 | 0 | 0 | — | 6.0 |
| 194 | Sumas, BC | Vancouver | — | 1 | 0 | 0 | — | 6.0 |
| 195 | Turlock, CA | Modesto | — | 1 | 0 | 0 | — | 6.0 |
| 196 | Kenilworth, NJ | New York | — | 1 | 0 | 0 | — | 6.0 |
| 197 | Peachtree City, GA | Atlanta | — | 1 | 0 | 0 | — | 6.0 |
| 198 | Lynnwood, WA | Seattle | — | 1 | 0 | 0 | — | 6.0 |
| 199 | The Hammocks, FL | Miami | — | 1 | 0 | 0 | — | 6.0 |
| 200 | Paramus, NJ | New York | — | 1 | 0 | 0 | — | 6.0 |
| 201 | Hasbrouck Heights, NJ | New York | — | 1 | 0 | 0 | — | 6.0 |
| 202 | Douglasville, GA | Kennesaw | — | 1 | 0 | 0 | — | 6.0 |
| 203 | Matthews, NC | Charlotte | — | 1 | 0 | 0 | — | 6.0 |
| 204 | Crystal Lake, IL | Chicago | — | 1 | 0 | 0 | — | 6.0 |
| 205 | Alafaya, FL | Orlando | — | 1 | 0 | 0 | — | 6.0 |
| 206 | Bowie, MD | Baltimore | — | 1 | 0 | 0 | — | 6.0 |
| 207 | Colonial Heights, VA | Richmond | — | 1 | 0 | 0 | — | 6.0 |
| 208 | Flemington, NJ | Philadelphia | — | 1 | 0 | 0 | — | 6.0 |
| 209 | Rohnert Park, CA | San Francisco | — | 1 | 0 | 0 | — | 6.0 |
| 210 | Conroe, TX | Houston | — | 1 | 0 | 0 | — | 6.0 |
| 211 | Pflugerville, TX | Austin | — | 1 | 0 | 0 | — | 6.0 |
| 212 | Cumming, GA | Kennesaw | — | 1 | 0 | 0 | — | 6.0 |
| 213 | Hampton, VA | Virginia Beach | — | 1 | 0 | 0 | — | 6.0 |
| 214 | Snellville, GA | Atlanta | — | 1 | 0 | 0 | — | 6.0 |
| 215 | Easton, MD | Baltimore | — | 1 | 0 | 0 | — | 6.0 |
| 216 | Northlake, IL | Chicago | — | 1 | 0 | 0 | — | 6.0 |
| 217 | Mount Prospect, IL | Chicago | — | 1 | 0 | 0 | — | 6.0 |
| 218 | Gardena, CA | Los Angeles | — | 1 | 0 | 0 | — | 6.0 |
| 219 | Hiram, GA | Kennesaw | — | 1 | 0 | 0 | — | 6.0 |
| 220 | Hanover, PA | Lancaster | — | 1 | 0 | 0 | — | 6.0 |
| 221 | Chamblee, GA | Atlanta | — | 1 | 0 | 0 | — | 6.0 |
| 222 | Maryville, TN | Knoxville | — | 1 | 0 | 0 | — | 6.0 |
| 223 | Leisure Village East, NJ | New York | — | 1 | 0 | 0 | — | 6.0 |
| 224 | Pomona, CA | Riverside | — | 1 | 0 | 0 | — | 6.0 |
| 225 | Layton, UT | Salt Lake City | — | 1 | 0 | 0 | — | 6.0 |
| 226 | Yardville, NJ | Philadelphia | — | 1 | 0 | 0 | — | 6.0 |
| 227 | Jeannette, PA | Pittsburgh | — | 1 | 0 | 0 | — | 6.0 |
| 228 | Willoughby, OH | Cleveland | — | 1 | 0 | 0 | — | 6.0 |
| 229 | Naperville, IL | Chicago | — | 1 | 0 | 0 | — | 6.0 |
| 230 | Menomonee Falls, WI | Milwaukee | — | 1 | 0 | 0 | — | 6.0 |
| 231 | Hickory, NC | Charlotte | — | 1 | 0 | 0 | — | 6.0 |
| 232 | Belton, MO | Kansas City | — | 1 | 0 | 0 | — | 6.0 |
| 233 | Robertsville, NJ | New York | — | 1 | 0 | 0 | — | 6.0 |
| 234 | Riverhead, NY | New Haven | — | 1 | 0 | 0 | — | 6.0 |
| 235 | Denham Springs, LA | Baton Rouge | — | 1 | 0 | 0 | — | 6.0 |
| 236 | Ferguson, MO | St. Louis | — | 1 | 0 | 0 | — | 6.0 |
| 237 | Newport East, RI | Providence | — | 1 | 0 | 0 | — | 6.0 |
| 238 | Coon Rapids, MN | Minneapolis | — | 1 | 0 | 0 | — | 6.0 |
| 239 | Pewaukee, WI | Milwaukee | — | 1 | 0 | 0 | — | 6.0 |
| 240 | West Freehold, NJ | New York | — | 1 | 0 | 0 | — | 6.0 |
| 241 | East Washington, PA | Pittsburgh | — | 1 | 0 | 0 | — | 6.0 |
| 242 | Evergreen Park, IL | Chicago | — | 1 | 0 | 0 | — | 6.0 |
| 243 | Hobart, IN | Chicago | — | 1 | 0 | 0 | — | 6.0 |
| 244 | Hodgkins, IL | Chicago | — | 1 | 0 | 0 | — | 6.0 |
| 245 | Bloomingdale, IL | Chicago | — | 1 | 0 | 0 | — | 6.0 |
| 246 | Mehlville, MO | St. Louis | — | 1 | 0 | 0 | — | 6.0 |
| 247 | Yuba City, CA | Sacramento | — | 1 | 0 | 0 | — | 6.0 |
| 248 | Tracy, CA | Stockton | — | 1 | 0 | 0 | — | 6.0 |
| 249 | Bon Air, VA | Richmond | — | 1 | 0 | 0 | — | 6.0 |
| 250 | Spanish Fork, UT | Salt Lake City | — | 1 | 0 | 0 | — | 6.0 |
| 251 | Newnan, GA | Atlanta | — | 1 | 0 | 0 | — | 6.0 |
| 252 | Simi Valley, CA | Oxnard | — | 1 | 0 | 0 | — | 6.0 |
| 253 | Kokomo, IN | Indianapolis | — | 1 | 0 | 0 | — | 6.0 |
| 254 | McDonough, GA | Atlanta | — | 1 | 0 | 0 | — | 6.0 |
| 255 | Lake Zurich, IL | Chicago | — | 1 | 0 | 0 | — | 6.0 |
| 256 | Fruitville, FL | Tampa | — | 1 | 0 | 0 | — | 6.0 |
| 257 | Seven Corners, VA | Baltimore | — | 1 | 0 | 0 | — | 6.0 |
| 258 | Jericho, NY | New York | — | 1 | 0 | 0 | — | 6.0 |
| 259 | Parole, MD | Baltimore | — | 1 | 0 | 0 | — | 6.0 |
| 260 | Madison Heights, MI | Detroit | — | 1 | 0 | 0 | — | 6.0 |
| 261 | Montgomeryville, PA | Philadelphia | — | 1 | 0 | 0 | — | 6.0 |
| 262 | Brookside, DE | Wilmington DE | — | 1 | 0 | 0 | — | 6.0 |
| 263 | Paxtonia, PA | Lancaster | — | 1 | 0 | 0 | — | 6.0 |
| 264 | Glenview, IL | Chicago | — | 1 | 0 | 0 | — | 6.0 |
| 265 | West Nyack, NY | New York | — | 1 | 0 | 0 | — | 6.0 |
| 266 | Port Chester, NY | New York | — | 1 | 0 | 0 | — | 6.0 |
| 267 | Sevierville, TN | Knoxville | — | 1 | 0 | 0 | — | 6.0 |
| 268 | Goleta, CA | Oxnard | — | 1 | 0 | 0 | — | 6.0 |
| 269 | Woburn, MA | Boston | — | 1 | 0 | 0 | — | 6.0 |
| 270 | San Ramon, CA | San Francisco | — | 1 | 0 | 0 | — | 6.0 |
| 271 | Clifton, NJ | New York | — | 1 | 0 | 0 | — | 6.0 |
| 272 | San Mateo, CA | San Francisco | — | 1 | 0 | 0 | — | 6.0 |
| 273 | Vallejo, CA | San Francisco | — | 1 | 0 | 0 | — | 6.0 |
| 274 | San Bruno, CA | San Francisco | — | 1 | 0 | 0 | — | 6.0 |
| 275 | Issaquah, WA | Seattle | — | 1 | 0 | 0 | — | 6.0 |
| 276 | Mayfield Heights, OH | Cleveland | — | 1 | 0 | 0 | — | 6.0 |
| 277 | Oaks, PA | Wilmington DE | — | 1 | 0 | 0 | — | 6.0 |
| 278 | [[us-ut-provo-orem\|Provo, UT]] | Salt Lake City | — | 1 | 0 | 0 | — | 6.0 |
| 279 | Silverdale, WA | Seattle | — | 1 | 0 | 0 | — | 6.0 |
| 280 | Owings Mills, MD | Baltimore | — | 1 | 0 | 0 | — | 6.0 |
| 281 | Whippany, NJ | New York | — | 1 | 0 | 0 | — | 6.0 |
| 282 | Randolph Town, MA | Boston | — | 1 | 0 | 0 | — | 6.0 |
| 283 | Plymouth Meeting, PA | Philadelphia | — | 1 | 0 | 0 | — | 6.0 |
| 284 | Waukesha, WI | Milwaukee | — | 1 | 0 | 0 | — | 6.0 |
| 285 | Gig Harbor, WA | Tacoma | — | 1 | 0 | 0 | — | 6.0 |
| 286 | Nampa, ID | Boise | — | 1 | 0 | 0 | — | 6.0 |
| 287 | Grafton, WI | Milwaukee | — | 1 | 0 | 0 | — | 6.0 |
| 288 | Singac, NJ | New York | — | 1 | 0 | 0 | — | 6.0 |
| 289 | Summerlin South, NV | Las Vegas | — | 1 | 0 | 0 | — | 6.0 |
| 290 | Smyrna, TN | Nashville | — | 1 | 0 | 0 | — | 6.0 |
| 291 | Pontiac, MI | Detroit | — | 1 | 0 | 0 | — | 6.0 |
| 292 | Akron, OH | Cleveland | — | 1 | 0 | 0 | — | 6.0 |
| 293 | Mission Viejo, CA | Riverside | — | 1 | 0 | 0 | — | 6.0 |
| 294 | Pelham Manor, NY | New York | — | 1 | 0 | 0 | — | 6.0 |
| 295 | Dedham, MA | Boston | — | 1 | 0 | 0 | — | 6.0 |
| 296 | Bridgeport, CT | New Haven | — | 1 | 0 | 0 | — | 6.0 |
| 297 | Palo Alto, CA | San Jose | — | 1 | 0 | 0 | — | 6.0 |
| 298 | Edmonds, WA | Seattle | — | 1 | 0 | 0 | — | 6.0 |
| 308 | Edmond, OK | Oklahoma City | — | 0 | 1 | 2 | — | 6.0 |
| 309 | Surprise, AZ | Phoenix | — | 0 | 1 | 2 | — | 6.0 |
| 310 | Escondido, CA | San Diego | — | 0 | 2 | 0 | — | 6.0 |
| 311 | Richardson, TX | Dallas | — | 0 | 2 | 0 | — | 6.0 |
| 312 | Renton, WA | Seattle | — | 0 | 2 | 0 | — | 6.0 |
| 313 | Dublin, CA | San Jose | — | 0 | 2 | 0 | — | 6.0 |
| 314 | Lowell, MA | Boston | — | 0 | 2 | 0 | — | 6.0 |
| 315 | Downers Grove, IL | Chicago | — | 0 | 2 | 0 | — | 6.0 |
| 316 | Brockton, MA | Boston | — | 0 | 2 | 0 | — | 6.0 |
| 317 | Leominster, MA | Worcester | — | 0 | 2 | 0 | — | 6.0 |
| 318 | Arnold, MO | St. Louis | — | 0 | 2 | 0 | — | 6.0 |
| 319 | Fairfield, CA | Sacramento | — | 0 | 2 | 0 | — | 6.0 |
| 320 | Wadsworth, OH | Cleveland | — | 0 | 2 | 0 | — | 6.0 |
| 321 | Jasmine Estates, FL | Tampa | — | 0 | 2 | 0 | — | 6.0 |
| 322 | Hammond, LA | Baton Rouge | — | 0 | 2 | 0 | — | 6.0 |
| 323 | Lorain, OH | Cleveland | — | 0 | 2 | 0 | — | 6.0 |
| 324 | Schererville, IN | Chicago | — | 0 | 2 | 0 | — | 6.0 |
| 325 | Rochester Hills, MI | Detroit | — | 0 | 2 | 0 | — | 6.0 |
| 326 | Kent, WA | Tacoma | — | 0 | 2 | 0 | — | 6.0 |
| 329 | Waldorf, MD | Baltimore | — | 1 | 0 | 1 | — | 5.0 |
| 330 | Carson, CA | Los Angeles | — | 0 | 1 | 1 | — | 4.5 |
| 331 | Winter Haven, FL | Orlando | — | 0 | 1 | 1 | — | 4.5 |
| 332 | Las Cruces, NM | El Paso | — | 0 | 1 | 1 | — | 4.5 |
| 333 | [[us-la-kenner\|Kenner, LA]] | New Orleans | — | 0 | 1 | 1 | — | 4.5 |
| 334 | Delray Beach, FL | Miami | — | 0 | 1 | 1 | — | 4.5 |
| 335 | Covina, CA | Los Angeles | — | 0 | 1 | 1 | — | 4.5 |
| 336 | Mentor, OH | Cleveland | — | 0 | 1 | 1 | — | 4.5 |
| 337 | Trussville, AL | Birmingham | — | 0 | 1 | 1 | — | 4.5 |
| 338 | Cedar Park, TX | Austin | — | 0 | 1 | 1 | — | 4.5 |
| 339 | Weymouth Town, MA | Boston | — | 0 | 1 | 1 | — | 4.5 |
| 340 | Withamsville, OH | Cincinnati | — | 0 | 1 | 1 | — | 4.5 |
| 341 | Sugar Land, TX | Houston | — | 0 | 1 | 1 | — | 4.5 |
| 342 | Tuscaloosa, AL | Birmingham | — | 0 | 1 | 1 | — | 4.5 |
| 343 | Garland, TX | Dallas | — | 0 | 1 | 1 | — | 4.5 |
| 344 | Gilbert, AZ | Phoenix | — | 0 | 1 | 1 | — | 4.5 |
| 345 | Short Pump, VA | Richmond | — | 0 | 1 | 1 | — | 4.5 |
| 346 | Pinellas Park, FL | Tampa | — | 0 | 1 | 1 | — | 4.5 |
| 347 | Noblesville, IN | Indianapolis | — | 0 | 1 | 1 | — | 4.5 |
| 348 | Four Corners, FL | Orlando | — | 0 | 1 | 1 | — | 4.5 |
| 349 | Strongsville, OH | Cleveland | — | 0 | 1 | 1 | — | 4.5 |
| 350 | North Miami, FL | Miami | — | 0 | 1 | 1 | — | 4.5 |
| 351 | Allen, TX | Dallas | — | 0 | 1 | 1 | — | 4.5 |
| 352 | Lake Forest, CA | Riverside | — | 0 | 1 | 1 | — | 4.5 |
| 353 | New Braunfels, TX | San Antonio | — | 0 | 1 | 1 | — | 4.5 |
| 354 | Gonzales, LA | Baton Rouge | — | 0 | 1 | 1 | — | 4.5 |
| 355 | West Berlin, NJ | Philadelphia | — | 0 | 1 | 1 | — | 4.5 |
| 356 | Sterling Heights, MI | Detroit | — | 0 | 1 | 1 | — | 4.5 |
| 357 | Upland, CA | Riverside | — | 0 | 1 | 1 | — | 4.5 |
| 358 | Burleson, TX | Fort Worth | — | 0 | 1 | 1 | — | 4.5 |
| 359 | Ballwin, MO | St. Louis | — | 0 | 1 | 1 | — | 4.5 |
| 360 | Tomball, TX | Houston | — | 0 | 1 | 1 | — | 4.5 |
| 361 | Santa Rosa, CA | San Francisco | — | 0 | 1 | 1 | — | 4.5 |
| 362 | Ann Arbor, MI | Detroit | — | 0 | 1 | 1 | — | 4.5 |
| 363 | Monroeville, PA | Pittsburgh | — | 0 | 1 | 1 | — | 4.5 |
| 364 | Pompano Beach, FL | Miami | — | 0 | 1 | 1 | — | 4.5 |
| 368 | Santee, CA | San Diego | — | 1 | 0 | 0 | — | 4.0 |
| 369 | Woodland, CA | Sacramento | — | 1 | 0 | 0 | — | 4.0 |
| 370 | Sequim, WA | Seattle | — | 1 | 0 | 0 | — | 4.0 |
| 371 | Bel Air South, MD | Baltimore | — | 1 | 0 | 0 | — | 4.0 |
| 372 | [[us-mn-eagan\|Eagan, MN]] | Minneapolis | — | 1 | 0 | 0 | — | 4.0 |
| 373 | Bradenton, FL | Tampa | — | 1 | 0 | 0 | — | 4.0 |
| 374 | Madison Park, NJ | New York | — | 1 | 0 | 0 | — | 4.0 |
| 375 | Mooresville, NC | Charlotte | — | 1 | 0 | 0 | — | 4.0 |
| 376 | Gurnee, IL | Chicago | — | 1 | 0 | 0 | — | 4.0 |
| 377 | Harwick, PA | Pittsburgh | — | 1 | 0 | 0 | — | 4.0 |
| 378 | Ledgewood, NJ | New York | — | 1 | 0 | 0 | — | 4.0 |
| 379 | Rock Hill, SC | Charlotte | — | 1 | 0 | 0 | — | 4.0 |
| 380 | Watchung, NJ | New York | — | 1 | 0 | 0 | — | 4.0 |
| 381 | Mount Juliet, TN | Nashville | — | 1 | 0 | 0 | — | 4.0 |
| 382 | Bonney Lake, WA | Tacoma | — | 1 | 0 | 0 | — | 4.0 |
| 383 | Westland, MI | Detroit | — | 1 | 0 | 0 | — | 4.0 |
| 384 | Radisson, NY | Syracuse | — | 1 | 0 | 0 | — | 4.0 |
| 385 | Industry, CA | Los Angeles | — | 1 | 0 | 0 | — | 4.0 |
| 386 | Poway, CA | San Diego | — | 1 | 0 | 0 | — | 4.0 |
| 387 | Algonquin, IL | Chicago | — | 1 | 0 | 0 | — | 4.0 |
| 388 | Lake Elsinore, CA | Riverside | — | 1 | 0 | 0 | — | 4.0 |
| 389 | Chesterfield, MO | St. Louis | — | 1 | 0 | 0 | — | 4.0 |
| 390 | South Miami Heights, FL | Miami | — | 1 | 0 | 0 | — | 4.0 |
| 391 | Sherwood Manor, CT | Hartford | — | 1 | 0 | 0 | — | 4.0 |
| 392 | Holbrook, NY | New Haven | — | 1 | 0 | 0 | — | 4.0 |
| 393 | Chaska, MN | Minneapolis | — | 1 | 0 | 0 | — | 4.0 |
| 394 | Nanuet, NY | New York | — | 1 | 0 | 0 | — | 4.0 |
| 395 | Auburn Hills, MI | Detroit | — | 1 | 0 | 0 | — | 4.0 |
| 396 | Eastvale, CA | Riverside | — | 1 | 0 | 0 | — | 4.0 |

## See also

- [[atlas-top-600-north-america]] — the North American master index
- [[about-regional-markets]] — the co-location methodology and market selection criteria
- [[atlas-top-400-north-america]] — the full North American ranked list this page filters
- [[about-regional-markets-system]] — the co-location methodology and market selection criteria