Top 400 Regional Markets — North America
TopicFrom the Woodfine Projects
Ranked list of the 400 highest-scoring North American suburban Regional Markets. Rank 1: Plano, TX (suburb of Dallas, score 25.5).
Top 400 Regional Markets — North America
This is a ranked list of the four hundred highest-scoring Regional Markets in North America, where a Regional Market is a named suburb or satellite municipality that lies within commuting distance of a major metropolitan centre and contains one or more retail co-location clusters. Markets are ranked by a composite score that combines the tier composition of their co-location clusters and the presence of civic-anchor infrastructure (medical and academic).
The list identifies commercial markets in the suburban ring of major North American cities — the research gap between institutional metro-market analysis and genuinely rural areas. It is produced separately from lists of metro cores (covered extensively by institutional research) and standalone secondary cities (served by separate analysis).
[edit]Definition and Scope
A North American Regional Market qualifies for this list when it meets three criteria. First, the settlement must contain at least one co-location cluster — a geographically bounded grouping of major-format retail, hardware, warehouse-club, and civic anchors. Second, the settlement must be a named, legally incorporated place or equivalent administrative unit whose name differs from that of its nearest major metropolitan reference centre. Third, the centroid of the settlement's co-location clusters must lie between 15 and 80 kilometres from the centroid of the nearest major metropolitan reference point; markets closer than 15 kilometres are classified as metro-core areas and markets beyond 80 kilometres are classified as standalone secondary cities — both categories are excluded from this list.
The geographic coherence constraint requires that all co-location clusters within a single named settlement lie within a 200-kilometre bounding box. Settlements failing this constraint are name-collision aggregations and are excluded from the ranked list.
[edit]Ranking Methodology
The composite score is the product of three factors. Tier score counts four points per Tier 1 cluster, two points per Tier 2 cluster, and one point per Tier 3 cluster. Civic multiplier is 1.5 when at least one cluster in the market includes a medical or academic anchor and 1.0 otherwise. Confidence factor is 1.0 for high-confidence markets and 0.7 for provisional markets.
The full formula is: Score = tier_score × civic_multiplier × confidence_factor.
The three tiers describe progressively richer combinations of retail anchor categories. Tier 1 (T1) clusters contain a hypermarket (such as Walmart Supercenter, Target, Meijer, or H-E-B), a home-improvement warehouse (Home Depot or Lowe's), and a warehouse club (Costco, Sam's Club, or BJ's). Tier 2 (T2) clusters contain a hypermarket and a hardware anchor without a warehouse club. Tier 3 (T3) clusters contain a single recognised anchor category.
The highest composite score in the current dataset is 25.5 (Plano, Texas, a suburb of Dallas). The minimum score among the ranked 400 is 4.0. Three markets score 20 or above, ten markets score 15 or above, and the majority of the top 400 fall between 4.0 and 12.0.
[edit]Suburban Geography
The 400 markets span 369 United States, 23 Canadian, and 8 Mexican suburbs. The metropolitan areas generating the largest numbers of qualifying suburbs are New York (25 suburbs in the top 400), Chicago (22), and Los Angeles (18). Dallas, Boston, Miami, and Tampa each contribute 10 or more suburbs.
[edit]Top 25
The twenty-five highest-ranked North American Regional Markets are listed below, with the metropolitan centre each market is a suburb of.
| Rank | Market | Country | Suburb of | km | T1 | T2 | T3 | Civic | Score |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Plano, TX | US | Dallas | 28 | 3 | 2 | 1 | Yes | 25.5 |
| 2 | Mesa, AZ | US | Phoenix | 31 | 2 | 2 | 3 | Yes | 22.5 |
| 3 | Frisco, TX | US | Dallas | 44 | 3 | 1 | 0 | Yes | 21.0 |
| 4 | Mississauga, ON | CA | Toronto | 25 | 2 | 1 | 2 | Yes | 18.0 |
| 5 | Santa Clarita, CA | US | Los Angeles | 48 | 2 | 2 | 0 | Yes | 18.0 |
| 6 | Nashua, NH | US | Boston | 56 | 2 | 2 | 0 | Yes | 18.0 |
| 7 | Warwick, RI | US | Providence | 19 | 2 | 1 | 1 | Yes | 16.5 |
| 8 | McKinney, TX | US | Dallas | 46 | 1 | 2 | 2 | Yes | 15.0 |
| 9 | Brampton | CA | Toronto | 30 | 1 | 3 | 0 | Yes | 15.0 |
| 10 | Chesapeake, VA | US | Virginia Beach | 31 | 2 | 1 | 0 | Yes | 15.0 |
| 11 | Surrey | CA | Vancouver | 26 | 1 | 2 | 1 | Yes | 13.5 |
| 12 | Vaughan, Ontario | CA | Toronto | 22 | 1 | 2 | 1 | Yes | 13.5 |
| 13 | Irvine, CA | US | Riverside | 52 | 2 | 0 | 1 | Yes | 13.5 |
| 14 | Pembroke Pines, FL | US | Miami | 30 | 1 | 1 | 2 | Yes | 12.0 |
| 15 | Chandler, AZ | US | Phoenix | 28 | 1 | 1 | 2 | Yes | 12.0 |
| 16 | Niles, IL | US | Chicago | 29 | 1 | 2 | 0 | Yes | 12.0 |
| 17 | Scottsdale, AZ | US | Phoenix | 23 | 1 | 2 | 0 | Yes | 12.0 |
| 18 | Waterloo, ON | CA | Kitchener | 23 | 1 | 2 | 0 | Yes | 12.0 |
| 19 | Clearwater, FL | US | Tampa | 28 | 2 | 0 | 0 | Yes | 12.0 |
| 20 | Joliet, IL | US | Chicago | 56 | 2 | 0 | 0 | Yes | 12.0 |
| 21 | Levittown, NY | US | New York | 33 | 2 | 0 | 0 | Yes | 12.0 |
| 22 | Murrieta, CA | US | Riverside | 49 | 2 | 0 | 0 | Yes | 12.0 |
| 23 | Corona, CA | US | Riverside | 21 | 2 | 0 | 0 | Yes | 12.0 |
| 24 | Maple Grove, MN | US | Minneapolis | 21 | 2 | 0 | 0 | Yes | 12.0 |
| 25 | Danvers, MA | US | Boston | 23 | 2 | 0 | 0 | Yes | 12.0 |
[edit]Full Rankings (26–400)
| Rank | Market | Country | Suburb of | T1 | T2 | T3 | Score |
|---|---|---|---|---|---|---|---|
| 26 | Livonia, MI | US | Detroit | 2 | 0 | 0 | 12.0 |
| 27 | Novi, MI | US | Detroit | 2 | 0 | 0 | 12.0 |
| 28 | Horsham, PA | US | Philadelphia | 2 | 0 | 0 | 12.0 |
| 29 | Buford, GA | US | Atlanta | 1 | 1 | 1 | 10.5 |
| 30 | Pearland, TX | US | Houston | 1 | 1 | 1 | 10.5 |
| 31 | Coral Springs, FL | US | Miami | 1 | 1 | 1 | 10.5 |
| 32 | Overland Park, KS | US | Kansas City | 1 | 1 | 1 | 10.5 |
| 33 | Grand Prairie, TX | US | Dallas | 1 | 1 | 1 | 10.5 |
| 34 | Moorestown-Lenola, NJ | US | Philadelphia | 1 | 0 | 2 | 9.0 |
| 35 | Tempe, AZ | US | Phoenix | 1 | 0 | 2 | 9.0 |
| 36 | Markham | CA | Toronto | 1 | 0 | 2 | 9.0 |
| 37 | Brandon, FL | US | Tampa | 1 | 1 | 0 | 9.0 |
| 38 | Huntington Beach, CA | US | Los Angeles | 1 | 1 | 0 | 9.0 |
| 39 | Anaheim, CA | US | Los Angeles | 1 | 1 | 0 | 9.0 |
| 40 | Stockbridge, GA | US | Atlanta | 1 | 1 | 0 | 9.0 |
| 41 | La Habra, CA | US | Los Angeles | 1 | 1 | 0 | 9.0 |
| 42 | Brandermill, VA | US | Richmond | 1 | 1 | 0 | 9.0 |
| 43 | Irving, TX | US | Dallas | 1 | 1 | 0 | 9.0 |
| 44 | Sandy, UT | US | Salt Lake City | 1 | 1 | 0 | 9.0 |
| 45 | Spartanburg, SC | US | Greenville SC | 1 | 1 | 0 | 9.0 |
| 46 | The Woodlands, TX | US | Houston | 1 | 1 | 0 | 9.0 |
| 47 | Temecula, CA | US | Riverside | 1 | 1 | 0 | 9.0 |
| 48 | Denton, TX | US | Fort Worth | 1 | 1 | 0 | 9.0 |
| 49 | Appleton, WI | US | Green Bay | 1 | 1 | 0 | 9.0 |
| 50 | St. Peters, MO | US | St. Louis | 1 | 1 | 0 | 9.0 |
| 51 | Forney, TX | US | Dallas | 1 | 1 | 0 | 9.0 |
| 52 | Mount Clemens, MI | US | Detroit | 1 | 1 | 0 | 9.0 |
| 53 | Sicklerville, NJ | US | Philadelphia | 1 | 1 | 0 | 9.0 |
| 54 | St. Joseph, MO | US | Kansas City | 1 | 1 | 0 | 9.0 |
| 55 | Visalia, CA | US | Fresno | 1 | 1 | 0 | 9.0 |
| 56 | Lakewood Ranch, FL | US | Tampa | 1 | 1 | 0 | 9.0 |
| 57 | Hawthorne, CA | US | Los Angeles | 1 | 1 | 0 | 9.0 |
| 58 | Pueblo, CO | US | Colorado Springs | 1 | 1 | 0 | 9.0 |
| 59 | Lodi, CA | US | Stockton | 1 | 1 | 0 | 9.0 |
| 60 | Victorville, CA | US | Riverside | 1 | 1 | 0 | 9.0 |
| 61 | Sandy Springs, GA | US | Kennesaw | 1 | 1 | 0 | 9.0 |
| 62 | Gaithersburg, MD | US | Baltimore | 1 | 1 | 0 | 9.0 |
| 63 | Laval | CA | Montreal | 1 | 1 | 0 | 9.0 |
| 64 | Abbotsford, BC | CA | Vancouver | 1 | 1 | 0 | 9.0 |
| 65 | Olathe, KS | US | Kansas City | 0 | 3 | 0 | 9.0 |
| 66 | Johns Creek, GA | US | Kennesaw | 0 | 3 | 0 | 9.0 |
| 67 | Commack, NY | US | New York | 2 | 0 | 0 | 8.0 |
| 68 | Folsom, CA | US | Sacramento | 1 | 0 | 1 | 7.5 |
| 69 | Lone Tree, CO | US | Denver | 1 | 0 | 1 | 7.5 |
| 70 | Costa Mesa, CA | US | Los Angeles | 1 | 0 | 1 | 7.5 |
| 71 | Garden Grove, CA | US | Los Angeles | 1 | 0 | 1 | 7.5 |
| 72 | Slidell, LA | US | New Orleans | 1 | 0 | 1 | 7.5 |
| 73 | Hoover, AL | US | Birmingham | 1 | 0 | 1 | 7.5 |
| 74 | Murfreesboro, TN | US | Nashville | 1 | 0 | 1 | 7.5 |
| 75 | Vacaville, CA | US | Sacramento | 1 | 0 | 1 | 7.5 |
| 76 | Davie, FL | US | Miami | 1 | 0 | 1 | 7.5 |
| 77 | Palmdale, CA | US | Los Angeles | 1 | 0 | 1 | 7.5 |
| 78 | Mechanicsburg, PA | US | Lancaster | 1 | 0 | 1 | 7.5 |
| 79 | Newport News, VA | US | Virginia Beach | 1 | 0 | 1 | 7.5 |
| 80 | Shakopee, MN | US | Minneapolis | 1 | 0 | 1 | 7.5 |
| 81 | Thornton, CO | US | Denver | 1 | 0 | 1 | 7.5 |
| 82 | Severn, MD | US | Baltimore | 1 | 0 | 1 | 7.5 |
| 83 | Loveland, CO | US | Denver | 1 | 0 | 1 | 7.5 |
| 84 | Oceanside, CA | US | San Diego | 1 | 0 | 1 | 7.5 |
| 85 | Round Rock, TX | US | Austin | 1 | 0 | 1 | 7.5 |
| 86 | Sunrise, FL | US | Miami | 1 | 0 | 1 | 7.5 |
| 87 | Niagara Falls, NY | US | St. Catharines | 1 | 0 | 1 | 7.5 |
| 88 | The Villages, FL | US | Orlando | 1 | 0 | 1 | 7.5 |
| 89 | Burnsville, MN | US | Minneapolis | 1 | 0 | 1 | 7.5 |
| 90 | Lakeland, FL | US | Tampa | 1 | 0 | 1 | 7.5 |
| 91 | Downey, CA | US | Los Angeles | 1 | 0 | 1 | 7.5 |
| 92 | Burbank, CA | US | Los Angeles | 1 | 0 | 1 | 7.5 |
| 93 | Lewisville, TX | US | Dallas | 1 | 0 | 1 | 7.5 |
| 94 | Methuen Town, MA | US | Boston | 1 | 0 | 1 | 7.5 |
| 95 | Southlake, TX | US | Fort Worth | 1 | 0 | 1 | 7.5 |
| 96 | Rockwall, TX | US | Dallas | 1 | 0 | 1 | 7.5 |
| 97 | Longmont, CO | US | Denver | 1 | 0 | 1 | 7.5 |
| 98 | Daytona Beach, FL | US | Orlando | 1 | 0 | 1 | 7.5 |
| 99 | Newmarket, ON | CA | Toronto | 1 | 0 | 1 | 7.5 |
| 100 | Ecatepec de Morelos | MX | Mexico City | 1 | 0 | 1 | 7.5 |
| 101 | Celaya, Guanajuato | MX | Querétaro | 1 | 0 | 1 | 7.5 |
| 102 | Toluca | MX | Mexico City | 1 | 0 | 1 | 7.5 |
| 103 | Riverview, FL | US | Tampa | 0 | 2 | 1 | 7.5 |
| 104 | Asheville, NC | US | Greenville SC | 0 | 2 | 1 | 7.5 |
| 105 | Bolingbrook, IL | US | Chicago | 0 | 2 | 1 | 7.5 |
| 106 | Baja California | US | Tijuana | 1 | 1 | 0 | 6.3 |
| 107 | California | MX | San Diego | 0 | 0 | 6 | 6.3 |
| 108 | Goldsboro, NC | US | Raleigh | 1 | 0 | 0 | 6.0 |
| 109 | Owasso, OK | US | Tulsa | 1 | 0 | 0 | 6.0 |
| 110 | Stratford Downtown, CT | US | New Haven | 1 | 0 | 0 | 6.0 |
| 111 | East York, PA | US | Lancaster | 1 | 0 | 0 | 6.0 |
| 112 | Torrance, CA | US | Los Angeles | 1 | 0 | 0 | 6.0 |
| 113 | Lincoln Park, NY | US | Albany | 1 | 0 | 0 | 6.0 |
| 114 | Bayou Cane, LA | US | New Orleans | 1 | 0 | 0 | 6.0 |
| 115 | San Leandro, CA | US | San Francisco | 1 | 0 | 0 | 6.0 |
| 116 | Gastonia, NC | US | Charlotte | 1 | 0 | 0 | 6.0 |
| 117 | Lake Magdalene, FL | US | Tampa | 1 | 0 | 0 | 6.0 |
| 118 | Hialeah, FL | US | Miami | 1 | 0 | 0 | 6.0 |
| 119 | Dania Beach, FL | US | Miami | 1 | 0 | 0 | 6.0 |
| 120 | Southaven, MS | US | Memphis | 1 | 0 | 0 | 6.0 |
| 121 | Rancho Cordova, CA | US | Sacramento | 1 | 0 | 0 | 6.0 |
| 122 | Moore, OK | US | Oklahoma City | 1 | 0 | 0 | 6.0 |
| 123 | Kannapolis, NC | US | Charlotte | 1 | 0 | 0 | 6.0 |
| 124 | Country Club, FL | US | Miami | 1 | 0 | 0 | 6.0 |
| 125 | Millville, NJ | US | Philadelphia | 1 | 0 | 0 | 6.0 |
| 126 | Cockeysville, MD | US | Baltimore | 1 | 0 | 0 | 6.0 |
| 127 | Goodyear, AZ | US | Phoenix | 1 | 0 | 0 | 6.0 |
| 128 | Seabrook Beach, NH | US | Boston | 1 | 0 | 0 | 6.0 |
| 129 | Glen Carbon, IL | US | St. Louis | 1 | 0 | 0 | 6.0 |
| 130 | Florin, CA | US | Sacramento | 1 | 0 | 0 | 6.0 |
| 131 | Elk Grove, CA | US | Sacramento | 1 | 0 | 0 | 6.0 |
| 132 | Gulfport, MS | US | Mobile | 1 | 0 | 0 | 6.0 |
| 133 | Long Beach, CA | US | Los Angeles | 1 | 0 | 0 | 6.0 |
| 134 | Signal Hill, CA | US | Los Angeles | 1 | 0 | 0 | 6.0 |
| 135 | Orem, UT | US | Salt Lake City | 1 | 0 | 0 | 6.0 |
| 136 | McKee City, NJ | US | Philadelphia | 1 | 0 | 0 | 6.0 |
| 137 | West Jordan, UT | US | Salt Lake City | 1 | 0 | 0 | 6.0 |
| 138 | Milton, GA | US | Kennesaw | 1 | 0 | 0 | 6.0 |
| 139 | Kirkwood, MO | US | St. Louis | 1 | 0 | 0 | 6.0 |
| 140 | Wescosville, PA | US | Wilmington DE | 1 | 0 | 0 | 6.0 |
| 141 | Tukwila, WA | US | Seattle | 1 | 0 | 0 | 6.0 |
| 142 | Eden Prairie, MN | US | Minneapolis | 1 | 0 | 0 | 6.0 |
| 143 | King of Prussia, PA | US | Wilmington DE | 1 | 0 | 0 | 6.0 |
| 144 | Wake Forest, NC | US | Raleigh | 1 | 0 | 0 | 6.0 |
| 145 | Dulles Town Center, VA | US | Baltimore | 1 | 0 | 0 | 6.0 |
| 146 | New Castle, DE | US | Wilmington DE | 1 | 0 | 0 | 6.0 |
| 147 | East Farmingdale, NY | US | New York | 1 | 0 | 0 | 6.0 |
| 148 | Hot Springs, AR | US | Little Rock | 1 | 0 | 0 | 6.0 |
| 149 | Puyallup, WA | US | Tacoma | 1 | 0 | 0 | 6.0 |
| 150 | American Fork, UT | US | Salt Lake City | 1 | 0 | 0 | 6.0 |
| 151 | South Valley Stream, NY | US | New York | 1 | 0 | 0 | 6.0 |
| 152 | Inwood, NY | US | New York | 1 | 0 | 0 | 6.0 |
| 153 | Mason, OH | US | Cincinnati | 1 | 0 | 0 | 6.0 |
| 154 | Independence, MO | US | Kansas City | 1 | 0 | 0 | 6.0 |
| 155 | Florida City, FL | US | Miami | 1 | 0 | 0 | 6.0 |
| 156 | Laguna Niguel, CA | US | Riverside | 1 | 0 | 0 | 6.0 |
| 157 | Hybla Valley, VA | US | Baltimore | 1 | 0 | 0 | 6.0 |
| 158 | Seven Fields, PA | US | Pittsburgh | 1 | 0 | 0 | 6.0 |
| 159 | Clermont, FL | US | Orlando | 1 | 0 | 0 | 6.0 |
| 160 | Riverton, UT | US | Salt Lake City | 1 | 0 | 0 | 6.0 |
| 161 | Ballenger Creek, MD | US | Baltimore | 1 | 0 | 0 | 6.0 |
| 162 | Gilroy, CA | US | San Jose | 1 | 0 | 0 | 6.0 |
| 163 | Skokie, IL | US | Chicago | 1 | 0 | 0 | 6.0 |
| 164 | Homeacre-Lyndora, PA | US | Pittsburgh | 1 | 0 | 0 | 6.0 |
| 165 | Taylor, MI | US | Detroit | 1 | 0 | 0 | 6.0 |
| 166 | Wentzville, MO | US | St. Louis | 1 | 0 | 0 | 6.0 |
| 167 | Chicopee, MA | US | Hartford | 1 | 0 | 0 | 6.0 |
| 168 | Vernon Hills, IL | US | Chicago | 1 | 0 | 0 | 6.0 |
| 169 | Humble, TX | US | Houston | 1 | 0 | 0 | 6.0 |
| 170 | San Dimas, CA | US | Los Angeles | 1 | 0 | 0 | 6.0 |
| 171 | Ames, IA | US | Des Moines | 1 | 0 | 0 | 6.0 |
| 172 | Metuchen, NJ | US | New York | 1 | 0 | 0 | 6.0 |
| 173 | St. Petersburg, FL | US | Tampa | 1 | 0 | 0 | 6.0 |
| 174 | Oakbrook Terrace, IL | US | Chicago | 1 | 0 | 0 | 6.0 |
| 175 | Lady Lake, FL | US | Orlando | 1 | 0 | 0 | 6.0 |
| 176 | Merced, CA | US | Modesto | 1 | 0 | 0 | 6.0 |
| 177 | Maplewood, MN | US | Minneapolis | 1 | 0 | 0 | 6.0 |
| 178 | Martinsville, NJ | US | New York | 1 | 0 | 0 | 6.0 |
| 179 | Smith Mills, MA | US | Providence | 1 | 0 | 0 | 6.0 |
| 180 | Framingham, MA | US | Boston | 1 | 0 | 0 | 6.0 |
| 181 | Pittsfield, MA | US | Albany | 1 | 0 | 0 | 6.0 |
| 182 | Harris Hill, NY | US | Buffalo | 1 | 0 | 0 | 6.0 |
| 183 | Salinas, CA | US | San Jose | 1 | 0 | 0 | 6.0 |
| 184 | Castle Rock, CO | US | Denver | 1 | 0 | 0 | 6.0 |
| 185 | Norman, OK | US | Oklahoma City | 1 | 0 | 0 | 6.0 |
| 186 | Elgin, IL | US | Chicago | 1 | 0 | 0 | 6.0 |
| 187 | Uniondale, NY | US | New York | 1 | 0 | 0 | 6.0 |
| 188 | Orland Park, IL | US | Chicago | 1 | 0 | 0 | 6.0 |
| 189 | Citrus Heights, CA | US | Sacramento | 1 | 0 | 0 | 6.0 |
| 190 | Port Orange, FL | US | Orlando | 1 | 0 | 0 | 6.0 |
| 191 | Waterford, CT | US | Hartford | 1 | 0 | 0 | 6.0 |
| 192 | Duluth, GA | US | Atlanta | 1 | 0 | 0 | 6.0 |
| 193 | Wallingford Center, CT | US | New Haven | 1 | 0 | 0 | 6.0 |
| 194 | Sumas, BC | US | Vancouver | 1 | 0 | 0 | 6.0 |
| 195 | Turlock, CA | US | Modesto | 1 | 0 | 0 | 6.0 |
| 196 | Kenilworth, NJ | US | New York | 1 | 0 | 0 | 6.0 |
| 197 | Peachtree City, GA | US | Atlanta | 1 | 0 | 0 | 6.0 |
| 198 | Lynnwood, WA | US | Seattle | 1 | 0 | 0 | 6.0 |
| 199 | The Hammocks, FL | US | Miami | 1 | 0 | 0 | 6.0 |
| 200 | Paramus, NJ | US | New York | 1 | 0 | 0 | 6.0 |
| 201 | Hasbrouck Heights, NJ | US | New York | 1 | 0 | 0 | 6.0 |
| 202 | Douglasville, GA | US | Kennesaw | 1 | 0 | 0 | 6.0 |
| 203 | Matthews, NC | US | Charlotte | 1 | 0 | 0 | 6.0 |
| 204 | Crystal Lake, IL | US | Chicago | 1 | 0 | 0 | 6.0 |
| 205 | Alafaya, FL | US | Orlando | 1 | 0 | 0 | 6.0 |
| 206 | Bowie, MD | US | Baltimore | 1 | 0 | 0 | 6.0 |
| 207 | Colonial Heights, VA | US | Richmond | 1 | 0 | 0 | 6.0 |
| 208 | Flemington, NJ | US | Philadelphia | 1 | 0 | 0 | 6.0 |
| 209 | Rohnert Park, CA | US | San Francisco | 1 | 0 | 0 | 6.0 |
| 210 | Conroe, TX | US | Houston | 1 | 0 | 0 | 6.0 |
| 211 | Pflugerville, TX | US | Austin | 1 | 0 | 0 | 6.0 |
| 212 | Cumming, GA | US | Kennesaw | 1 | 0 | 0 | 6.0 |
| 213 | Hampton, VA | US | Virginia Beach | 1 | 0 | 0 | 6.0 |
| 214 | Snellville, GA | US | Atlanta | 1 | 0 | 0 | 6.0 |
| 215 | Easton, MD | US | Baltimore | 1 | 0 | 0 | 6.0 |
| 216 | Northlake, IL | US | Chicago | 1 | 0 | 0 | 6.0 |
| 217 | Mount Prospect, IL | US | Chicago | 1 | 0 | 0 | 6.0 |
| 218 | Gardena, CA | US | Los Angeles | 1 | 0 | 0 | 6.0 |
| 219 | Hiram, GA | US | Kennesaw | 1 | 0 | 0 | 6.0 |
| 220 | Hanover, PA | US | Lancaster | 1 | 0 | 0 | 6.0 |
| 221 | Chamblee, GA | US | Atlanta | 1 | 0 | 0 | 6.0 |
| 222 | Maryville, TN | US | Knoxville | 1 | 0 | 0 | 6.0 |
| 223 | Leisure Village East, NJ | US | New York | 1 | 0 | 0 | 6.0 |
| 224 | Pomona, CA | US | Riverside | 1 | 0 | 0 | 6.0 |
| 225 | Layton, UT | US | Salt Lake City | 1 | 0 | 0 | 6.0 |
| 226 | Yardville, NJ | US | Philadelphia | 1 | 0 | 0 | 6.0 |
| 227 | Jeannette, PA | US | Pittsburgh | 1 | 0 | 0 | 6.0 |
| 228 | Willoughby, OH | US | Cleveland | 1 | 0 | 0 | 6.0 |
| 229 | Naperville, IL | US | Chicago | 1 | 0 | 0 | 6.0 |
| 230 | Menomonee Falls, WI | US | Milwaukee | 1 | 0 | 0 | 6.0 |
| 231 | Hickory, NC | US | Charlotte | 1 | 0 | 0 | 6.0 |
| 232 | Belton, MO | US | Kansas City | 1 | 0 | 0 | 6.0 |
| 233 | Robertsville, NJ | US | New York | 1 | 0 | 0 | 6.0 |
| 234 | Riverhead, NY | US | New Haven | 1 | 0 | 0 | 6.0 |
| 235 | Denham Springs, LA | US | Baton Rouge | 1 | 0 | 0 | 6.0 |
| 236 | Ferguson, MO | US | St. Louis | 1 | 0 | 0 | 6.0 |
| 237 | Newport East, RI | US | Providence | 1 | 0 | 0 | 6.0 |
| 238 | Coon Rapids, MN | US | Minneapolis | 1 | 0 | 0 | 6.0 |
| 239 | Pewaukee, WI | US | Milwaukee | 1 | 0 | 0 | 6.0 |
| 240 | West Freehold, NJ | US | New York | 1 | 0 | 0 | 6.0 |
| 241 | East Washington, PA | US | Pittsburgh | 1 | 0 | 0 | 6.0 |
| 242 | Evergreen Park, IL | US | Chicago | 1 | 0 | 0 | 6.0 |
| 243 | Hobart, IN | US | Chicago | 1 | 0 | 0 | 6.0 |
| 244 | Hodgkins, IL | US | Chicago | 1 | 0 | 0 | 6.0 |
| 245 | Bloomingdale, IL | US | Chicago | 1 | 0 | 0 | 6.0 |
| 246 | Mehlville, MO | US | St. Louis | 1 | 0 | 0 | 6.0 |
| 247 | Yuba City, CA | US | Sacramento | 1 | 0 | 0 | 6.0 |
| 248 | Tracy, CA | US | Stockton | 1 | 0 | 0 | 6.0 |
| 249 | Bon Air, VA | US | Richmond | 1 | 0 | 0 | 6.0 |
| 250 | Spanish Fork, UT | US | Salt Lake City | 1 | 0 | 0 | 6.0 |
| 251 | Newnan, GA | US | Atlanta | 1 | 0 | 0 | 6.0 |
| 252 | Simi Valley, CA | US | Oxnard | 1 | 0 | 0 | 6.0 |
| 253 | Kokomo, IN | US | Indianapolis | 1 | 0 | 0 | 6.0 |
| 254 | McDonough, GA | US | Atlanta | 1 | 0 | 0 | 6.0 |
| 255 | Lake Zurich, IL | US | Chicago | 1 | 0 | 0 | 6.0 |
| 256 | Fruitville, FL | US | Tampa | 1 | 0 | 0 | 6.0 |
| 257 | Seven Corners, VA | US | Baltimore | 1 | 0 | 0 | 6.0 |
| 258 | Jericho, NY | US | New York | 1 | 0 | 0 | 6.0 |
| 259 | Parole, MD | US | Baltimore | 1 | 0 | 0 | 6.0 |
| 260 | Madison Heights, MI | US | Detroit | 1 | 0 | 0 | 6.0 |
| 261 | Montgomeryville, PA | US | Philadelphia | 1 | 0 | 0 | 6.0 |
| 262 | Brookside, DE | US | Wilmington DE | 1 | 0 | 0 | 6.0 |
| 263 | Paxtonia, PA | US | Lancaster | 1 | 0 | 0 | 6.0 |
| 264 | Glenview, IL | US | Chicago | 1 | 0 | 0 | 6.0 |
| 265 | West Nyack, NY | US | New York | 1 | 0 | 0 | 6.0 |
| 266 | Port Chester, NY | US | New York | 1 | 0 | 0 | 6.0 |
| 267 | Sevierville, TN | US | Knoxville | 1 | 0 | 0 | 6.0 |
| 268 | Goleta, CA | US | Oxnard | 1 | 0 | 0 | 6.0 |
| 269 | Woburn, MA | US | Boston | 1 | 0 | 0 | 6.0 |
| 270 | San Ramon, CA | US | San Francisco | 1 | 0 | 0 | 6.0 |
| 271 | Clifton, NJ | US | New York | 1 | 0 | 0 | 6.0 |
| 272 | San Mateo, CA | US | San Francisco | 1 | 0 | 0 | 6.0 |
| 273 | Vallejo, CA | US | San Francisco | 1 | 0 | 0 | 6.0 |
| 274 | San Bruno, CA | US | San Francisco | 1 | 0 | 0 | 6.0 |
| 275 | Issaquah, WA | US | Seattle | 1 | 0 | 0 | 6.0 |
| 276 | Mayfield Heights, OH | US | Cleveland | 1 | 0 | 0 | 6.0 |
| 277 | Oaks, PA | US | Wilmington DE | 1 | 0 | 0 | 6.0 |
| 278 | Provo, UT | US | Salt Lake City | 1 | 0 | 0 | 6.0 |
| 279 | Silverdale, WA | US | Seattle | 1 | 0 | 0 | 6.0 |
| 280 | Owings Mills, MD | US | Baltimore | 1 | 0 | 0 | 6.0 |
| 281 | Whippany, NJ | US | New York | 1 | 0 | 0 | 6.0 |
| 282 | Randolph Town, MA | US | Boston | 1 | 0 | 0 | 6.0 |
| 283 | Plymouth Meeting, PA | US | Philadelphia | 1 | 0 | 0 | 6.0 |
| 284 | Waukesha, WI | US | Milwaukee | 1 | 0 | 0 | 6.0 |
| 285 | Gig Harbor, WA | US | Tacoma | 1 | 0 | 0 | 6.0 |
| 286 | Nampa, ID | US | Boise | 1 | 0 | 0 | 6.0 |
| 287 | Grafton, WI | US | Milwaukee | 1 | 0 | 0 | 6.0 |
| 288 | Singac, NJ | US | New York | 1 | 0 | 0 | 6.0 |
| 289 | Summerlin South, NV | US | Las Vegas | 1 | 0 | 0 | 6.0 |
| 290 | Smyrna, TN | US | Nashville | 1 | 0 | 0 | 6.0 |
| 291 | Pontiac, MI | US | Detroit | 1 | 0 | 0 | 6.0 |
| 292 | Akron, OH | US | Cleveland | 1 | 0 | 0 | 6.0 |
| 293 | Mission Viejo, CA | US | Riverside | 1 | 0 | 0 | 6.0 |
| 294 | Pelham Manor, NY | US | New York | 1 | 0 | 0 | 6.0 |
| 295 | Dedham, MA | US | Boston | 1 | 0 | 0 | 6.0 |
| 296 | Bridgeport, CT | US | New Haven | 1 | 0 | 0 | 6.0 |
| 297 | Palo Alto, CA | US | San Jose | 1 | 0 | 0 | 6.0 |
| 298 | Edmonds, WA | US | Seattle | 1 | 0 | 0 | 6.0 |
| 299 | Coquitlam, BC | CA | Vancouver | 1 | 0 | 0 | 6.0 |
| 300 | Pointe-Claire | CA | Montreal | 1 | 0 | 0 | 6.0 |
| 301 | Bellefeuille, Quebec | CA | Montreal | 1 | 0 | 0 | 6.0 |
| 302 | Ajax, ON | CA | Toronto | 1 | 0 | 0 | 6.0 |
| 303 | Port Coquitlam, BC | CA | Vancouver | 1 | 0 | 0 | 6.0 |
| 304 | Huixquilucan | MX | Mexico City | 1 | 0 | 0 | 6.0 |
| 305 | Coacalco de Berriozábal | MX | Mexico City | 1 | 0 | 0 | 6.0 |
| 306 | Metepec | MX | Mexico City | 1 | 0 | 0 | 6.0 |
| 307 | Atizapán de Zaragoza | MX | Mexico City | 1 | 0 | 0 | 6.0 |
| 308 | Edmond, OK | US | Oklahoma City | 0 | 1 | 2 | 6.0 |
| 309 | Surprise, AZ | US | Phoenix | 0 | 1 | 2 | 6.0 |
| 310 | Escondido, CA | US | San Diego | 0 | 2 | 0 | 6.0 |
| 311 | Richardson, TX | US | Dallas | 0 | 2 | 0 | 6.0 |
| 312 | Renton, WA | US | Seattle | 0 | 2 | 0 | 6.0 |
| 313 | Dublin, CA | US | San Jose | 0 | 2 | 0 | 6.0 |
| 314 | Lowell, MA | US | Boston | 0 | 2 | 0 | 6.0 |
| 315 | Downers Grove, IL | US | Chicago | 0 | 2 | 0 | 6.0 |
| 316 | Brockton, MA | US | Boston | 0 | 2 | 0 | 6.0 |
| 317 | Leominster, MA | US | Worcester | 0 | 2 | 0 | 6.0 |
| 318 | Arnold, MO | US | St. Louis | 0 | 2 | 0 | 6.0 |
| 319 | Fairfield, CA | US | Sacramento | 0 | 2 | 0 | 6.0 |
| 320 | Wadsworth, OH | US | Cleveland | 0 | 2 | 0 | 6.0 |
| 321 | Jasmine Estates, FL | US | Tampa | 0 | 2 | 0 | 6.0 |
| 322 | Hammond, LA | US | Baton Rouge | 0 | 2 | 0 | 6.0 |
| 323 | Lorain, OH | US | Cleveland | 0 | 2 | 0 | 6.0 |
| 324 | Schererville, IN | US | Chicago | 0 | 2 | 0 | 6.0 |
| 325 | Rochester Hills, MI | US | Detroit | 0 | 2 | 0 | 6.0 |
| 326 | Kent, WA | US | Tacoma | 0 | 2 | 0 | 6.0 |
| 327 | Chatham-Kent, ON | CA | Detroit | 0 | 2 | 0 | 6.0 |
| 328 | Guelph, Ontario | CA | Kitchener | 0 | 2 | 0 | 6.0 |
| 329 | Waldorf, MD | US | Baltimore | 1 | 0 | 1 | 5.0 |
| 330 | Carson, CA | US | Los Angeles | 0 | 1 | 1 | 4.5 |
| 331 | Winter Haven, FL | US | Orlando | 0 | 1 | 1 | 4.5 |
| 332 | Las Cruces, NM | US | El Paso | 0 | 1 | 1 | 4.5 |
| 333 | Kenner, LA | US | New Orleans | 0 | 1 | 1 | 4.5 |
| 334 | Delray Beach, FL | US | Miami | 0 | 1 | 1 | 4.5 |
| 335 | Covina, CA | US | Los Angeles | 0 | 1 | 1 | 4.5 |
| 336 | Mentor, OH | US | Cleveland | 0 | 1 | 1 | 4.5 |
| 337 | Trussville, AL | US | Birmingham | 0 | 1 | 1 | 4.5 |
| 338 | Cedar Park, TX | US | Austin | 0 | 1 | 1 | 4.5 |
| 339 | Weymouth Town, MA | US | Boston | 0 | 1 | 1 | 4.5 |
| 340 | Withamsville, OH | US | Cincinnati | 0 | 1 | 1 | 4.5 |
| 341 | Sugar Land, TX | US | Houston | 0 | 1 | 1 | 4.5 |
| 342 | Tuscaloosa, AL | US | Birmingham | 0 | 1 | 1 | 4.5 |
| 343 | Garland, TX | US | Dallas | 0 | 1 | 1 | 4.5 |
| 344 | Gilbert, AZ | US | Phoenix | 0 | 1 | 1 | 4.5 |
| 345 | Short Pump, VA | US | Richmond | 0 | 1 | 1 | 4.5 |
| 346 | Pinellas Park, FL | US | Tampa | 0 | 1 | 1 | 4.5 |
| 347 | Noblesville, IN | US | Indianapolis | 0 | 1 | 1 | 4.5 |
| 348 | Four Corners, FL | US | Orlando | 0 | 1 | 1 | 4.5 |
| 349 | Strongsville, OH | US | Cleveland | 0 | 1 | 1 | 4.5 |
| 350 | North Miami, FL | US | Miami | 0 | 1 | 1 | 4.5 |
| 351 | Allen, TX | US | Dallas | 0 | 1 | 1 | 4.5 |
| 352 | Lake Forest, CA | US | Riverside | 0 | 1 | 1 | 4.5 |
| 353 | New Braunfels, TX | US | San Antonio | 0 | 1 | 1 | 4.5 |
| 354 | Gonzales, LA | US | Baton Rouge | 0 | 1 | 1 | 4.5 |
| 355 | West Berlin, NJ | US | Philadelphia | 0 | 1 | 1 | 4.5 |
| 356 | Sterling Heights, MI | US | Detroit | 0 | 1 | 1 | 4.5 |
| 357 | Upland, CA | US | Riverside | 0 | 1 | 1 | 4.5 |
| 358 | Burleson, TX | US | Fort Worth | 0 | 1 | 1 | 4.5 |
| 359 | Ballwin, MO | US | St. Louis | 0 | 1 | 1 | 4.5 |
| 360 | Tomball, TX | US | Houston | 0 | 1 | 1 | 4.5 |
| 361 | Santa Rosa, CA | US | San Francisco | 0 | 1 | 1 | 4.5 |
| 362 | Ann Arbor, MI | US | Detroit | 0 | 1 | 1 | 4.5 |
| 363 | Monroeville, PA | US | Pittsburgh | 0 | 1 | 1 | 4.5 |
| 364 | Pompano Beach, FL | US | Miami | 0 | 1 | 1 | 4.5 |
| 365 | Richmond Hill, Ontario | CA | Toronto | 0 | 1 | 1 | 4.5 |
| 366 | Oshawa, ON | CA | Toronto | 0 | 1 | 1 | 4.5 |
| 367 | Langley District Municipality | CA | Vancouver | 1 | 0 | 0 | 4.2 |
| 368 | Santee, CA | US | San Diego | 1 | 0 | 0 | 4.0 |
| 369 | Woodland, CA | US | Sacramento | 1 | 0 | 0 | 4.0 |
| 370 | Sequim, WA | US | Seattle | 1 | 0 | 0 | 4.0 |
| 371 | Bel Air South, MD | US | Baltimore | 1 | 0 | 0 | 4.0 |
| 372 | Eagan, MN | US | Minneapolis | 1 | 0 | 0 | 4.0 |
| 373 | Bradenton, FL | US | Tampa | 1 | 0 | 0 | 4.0 |
| 374 | Madison Park, NJ | US | New York | 1 | 0 | 0 | 4.0 |
| 375 | Mooresville, NC | US | Charlotte | 1 | 0 | 0 | 4.0 |
| 376 | Gurnee, IL | US | Chicago | 1 | 0 | 0 | 4.0 |
| 377 | Harwick, PA | US | Pittsburgh | 1 | 0 | 0 | 4.0 |
| 378 | Ledgewood, NJ | US | New York | 1 | 0 | 0 | 4.0 |
| 379 | Rock Hill, SC | US | Charlotte | 1 | 0 | 0 | 4.0 |
| 380 | Watchung, NJ | US | New York | 1 | 0 | 0 | 4.0 |
| 381 | Mount Juliet, TN | US | Nashville | 1 | 0 | 0 | 4.0 |
| 382 | Bonney Lake, WA | US | Tacoma | 1 | 0 | 0 | 4.0 |
| 383 | Westland, MI | US | Detroit | 1 | 0 | 0 | 4.0 |
| 384 | Radisson, NY | US | Syracuse | 1 | 0 | 0 | 4.0 |
| 385 | Industry, CA | US | Los Angeles | 1 | 0 | 0 | 4.0 |
| 386 | Poway, CA | US | San Diego | 1 | 0 | 0 | 4.0 |
| 387 | Algonquin, IL | US | Chicago | 1 | 0 | 0 | 4.0 |
| 388 | Lake Elsinore, CA | US | Riverside | 1 | 0 | 0 | 4.0 |
| 389 | Chesterfield, MO | US | St. Louis | 1 | 0 | 0 | 4.0 |
| 390 | South Miami Heights, FL | US | Miami | 1 | 0 | 0 | 4.0 |
| 391 | Sherwood Manor, CT | US | Hartford | 1 | 0 | 0 | 4.0 |
| 392 | Holbrook, NY | US | New Haven | 1 | 0 | 0 | 4.0 |
| 393 | Chaska, MN | US | Minneapolis | 1 | 0 | 0 | 4.0 |
| 394 | Nanuet, NY | US | New York | 1 | 0 | 0 | 4.0 |
| 395 | Auburn Hills, MI | US | Detroit | 1 | 0 | 0 | 4.0 |
| 396 | Eastvale, CA | US | Riverside | 1 | 0 | 0 | 4.0 |
| 397 | Boisbriand, QC | CA | Montreal | 1 | 0 | 0 | 4.0 |
| 398 | Nanaimo, BC | CA | Vancouver | 1 | 0 | 0 | 4.0 |
| 399 | Vaudreuil-Dorion, QC | CA | Montreal | 1 | 0 | 0 | 4.0 |
| 400 | Okotoks | CA | Calgary | 1 | 0 | 0 | 4.0 |
[edit]Country Breakdown
| Country | Count | Notes |
|---|---|---|
| United States | 369 | Suburbs of all major US metropolitan areas |
| Canada | 23 | Suburbs of Toronto (8), Vancouver (4), Calgary (2), and others |
| Mexico | 8 | Suburbs of Mexico City, Guadalajara, and Monterrey |
[edit]Data Sources and Methodology
Co-location data is drawn from OpenStreetMap (ODbL licence) filtered by Wikidata chain identifiers, supplemented by civic-anchor records from the Overture Maps Foundation Places dataset (CDLA Permissive 2.0). Cluster boundaries are computed by a two-pass DBSCAN algorithm. Metropolitan reference centroids are drawn from 120 major North American metropolitan areas.
The suburban-regional classification (15–80 km from the nearest major metro centroid) is a filter applied before scoring, not a score component. Every market in this list is already in the suburban band; no distance bonus or penalty is applied within the list. This design reflects the research intent: the list surfaces the suburban ring as a distinct analysis tier, not a continuum from metro core to rural periphery.