This Giant Map Shows All the Metropolitan Areas in the U.S.
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This Giant Map Shows All the Metropolitan Areas in the U.S.

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This Giant Map Shows All the Metropolitan Areas in the U.S.

The United States is the third most populous country in the world, made up of close to 20,000 cities and towns, and 333 million individuals.

Dividing these population clusters into a coherent framework of statistical areas is no small feat, and the U.S. Census Bureau’s latest map shows just how complex of a task it is.

This enormous map—which covers the entire country, including Puerto Rico—includes 392 metropolitan statistical areas and 547 micropolitan statistical areas.

For reference, here are all the current metropolitan statistical areas in the United States, organized by population:

RankMetropolitan statistical areaPopulation (2020)Change since 2010
1New York-Newark-Jersey City, NY-NJ-PA MSA20,140,4706.58%
2Los Angeles-Long Beach-Anaheim, CA MSA13,200,9982.90%
3Chicago-Naperville-Elgin, IL-IN-WI MSA9,618,5021.66%
4Dallas-Fort Worth-Arlington, TX MSA7,637,38719.96%
5Houston-The Woodlands-Sugar Land, TX MSA7,122,24020.30%
6Washington-Arlington-Alexandria, DC-VA-MD-WV MSA6,385,16213.02%
7Philadelphia-Camden-Wilmington, PA-NJ-DE-MD MSA6,245,0514.69%
8Miami-Fort Lauderdale-West Palm Beach, FL MSA6,138,33310.31%
9Atlanta-Sandy Springs-Alpharetta, GA MSA6,089,81515.19%
10Boston-Cambridge-Newton, MA-NH MSA4,941,6328.55%
11Phoenix-Mesa-Chandler, AZ MSA4,845,83215.57%
12San Francisco-Oakland-Berkeley, CA MSA4,749,0089.54%
13Riverside-San Bernardino-Ontario, CA MSA4,599,8398.88%
14Detroit–Warren–Dearborn, MI MSA4,392,0412.23%
15Seattle-Tacoma-Bellevue, WA MSA4,018,76216.83%
16Minneapolis-St. Paul-Bloomington, MN-WI MSA3,690,26110.26%
17San Diego-Chula Vista-Carlsbad, CA MSA3,298,6346.57%
18Tampa-St. Petersburg-Clearwater, FL MSA3,175,27514.09%
19Denver-Aurora-Lakewood, CO MSA2,963,82116.53%
20Baltimore-Columbia-Towson, MD MSA2,844,5104.94%
21St. Louis, MO-IL MSA2,820,2531.17%
22Orlando-Kissimmee-Sanford, FL MSA2,673,37625.25%
23Charlotte-Concord-Gastonia, NC-SC MSA2,660,32918.56%
24San Antonio-New Braunfels, TX MSA2,558,14319.40%
25Portland-Vancouver-Hillsboro, OR-WA MSA2,512,85912.89%
26Sacramento-Roseville-Folsom, CA MSA2,397,38211.55%
27Pittsburgh, PA MSA2,370,9300.62%
28Austin-Round Rock-Georgetown, TX MSA2,283,37133.04%
29Las Vegas-Henderson-Paradise, NV MSA2,265,46116.10%
30Cincinnati, OH-KY-IN MSA2,256,8845.58%
31Kansas City, MO-KS MSA2,192,0359.09%
32Columbus, OH MSA2,138,92612.46%
33Indianapolis-Carmel-Anderson, IN MSA2,111,04011.82%
34Cleveland-Elyria, OH MSA2,088,2510.53%
35San Juan-Bayamón-Caguas, PR Metropolitan Statistical Area2,002,906-14.77%
36San Jose-Sunnyvale-Santa Clara, CA MSA2,000,4688.90%
37Nashville-Davidson–Murfreesboro–Franklin, TN MSA1,989,51920.86%
38Virginia Beach-Norfolk-Newport News, VA-NC MSA1,799,6745.00%
39Providence-Warwick, RI-MA MSA1,676,5794.73%
40Jacksonville, FL MSA1,605,84819.34%
41Milwaukee-Waukesha, WI MSA1,574,7311.21%
42Oklahoma City, OK MSA1,425,69513.78%
43Raleigh-Cary, NC MSA1,413,98225.08%
44Memphis, TN-MS-AR MSA1,337,7791.65%
45Richmond, VA MSA1,314,43410.78%
46Louisville/Jefferson County, KY-IN MSA1,285,4396.88%
47New Orleans-Metairie, LA MSA1,271,8456.89%
48Salt Lake City, UT MSA1,257,93615.63%
49Hartford-East Hartford-Middletown, CT MSA1,213,5310.09%
50Buffalo-Niagara Falls, NY MSA1,166,9022.76%
51Birmingham-Hoover, AL MSA1,115,2895.11%
52Rochester, NY MSA1,090,1350.97%
53Grand Rapids-Kentwood, MI MSA1,087,5929.45%
54Tucson, AZ MSA1,043,4336.44%
55Urban Honolulu, HI MSA1,016,5086.64%
56Tulsa, OK MSA1,015,3318.30%
57Fresno, CA MSA1,008,6548.40%
58Worcester, MA-CT MSA978,5296.71%
59Omaha-Council Bluffs, NE-IA MSA967,60411.82%
60Bridgeport-Stamford-Norwalk, CT MSA957,4194.43%
61Greenville-Anderson, SC MSA928,19512.63%
62Albuquerque, NM MSA916,5283.32%
63Bakersfield, CA MSA909,2358.29%
64Albany-Schenectady-Troy, NY MSA899,2623.28%
65Knoxville, TN MSA879,7737.96%
66McAllen-Edinburg-Mission, TX MSA870,78112.39%
67Baton Rouge, LA MSA870,5695.41%
68El Paso, TX MSA868,8598.05%
69New Haven-Milford, CT MSA864,8350.27%
70Allentown-Bethlehem-Easton, PA-NJ MSA861,8894.96%
71Oxnard-Thousand Oaks-Ventura, CA MSA843,8432.49%
72North Port-Sarasota-Bradenton, FL MSA833,71618.72%
73Columbia, SC MSA829,4708.06%
74Dayton-Kettering, OH MSA814,0491.85%
75Charleston-North Charleston, SC MSA799,63620.32%
76Stockton, CA MSA779,23313.71%
77Greensboro-High Point, NC MSA776,5667.29%
78Boise City, ID MSA764,71824.03%
79Cape Coral-Fort Myers, FL MSA760,82222.96%
80Colorado Springs, CO MSA755,10516.96%
81Little Rock-North Little Rock-Conway, AR MSA748,0316.90%
82Lakeland-Winter Haven, FL MSA725,04620.42%
83Des Moines-West Des Moines, IA MSA709,46616.98%
84Akron, OH MSA702,219-0.14%
85Springfield, MA MSA699,1620.90%
86Poughkeepsie-Newburgh-Middletown, NY MSA697,2214.02%
87Ogden-Clearfield, UT MSA694,86316.36%
88Madison, WI MSA680,79612.45%
89Winston-Salem, NC MSA675,9665.52%
90Provo-Orem, UT MSA671,18527.41%
91Deltona-Daytona Beach-Ormond Beach, FL MSA668,92113.32%
92Syracuse, NY MSA662,057-0.08%
93Durham-Chapel Hill, NC MSA649,90315.18%
94Wichita, KS MSA647,6103.94%
95Toledo, OH MSA646,604-0.74%
96Augusta-Richmond County, GA-SC MSA611,0008.17%
97Palm Bay-Melbourne-Titusville, FL MSA606,61211.64%
98Jackson, MS MSA591,9780.97%
99Harrisburg-Carlisle, PA MSA591,7127.69%
100Spokane-Spokane Valley, WA MSA585,78413.80%
101Scranton–Wilkes-Barre, PA MSA567,5590.70%
102Chattanooga, TN-GA MSA562,6476.53%
103Lancaster, PA MSA552,9846.46%
104Modesto, CA MSA552,8787.47%
105Portland-South Portland, ME MSA551,7407.32%
106Fayetteville-Springdale-Rogers, AR MSA546,72524.22%
107Lansing-East Lansing, MI MSA541,2971.24%
108Youngstown-Warren-Boardman, OH-PA MSA541,243-4.34%
109Fayetteville, NC MSA520,3788.17%
110Lexington-Fayette, KY MSA516,8119.47%
111Pensacola-Ferry Pass-Brent, FL MSA509,90513.57%
112Huntsville, AL MSA491,72317.75%
113Reno, NV MSA490,59615.32%
114Santa Rosa-Petaluma, CA MSA488,8631.03%
115Myrtle Beach-Conway-North Myrtle Beach, SC-NC MSA487,72229.46%
116Port St. Lucie, FL MSA487,65714.98%
117Lafayette, LA MSA478,3842.49%
118Springfield, MO MSA475,4328.87%
119Killeen-Temple, TX MSA475,36717.29%
120Visalia, CA MSA473,1177.00%
121Asheville, NC MSA469,01510.39%
122York-Hanover, PA MSA456,4384.94%
123Vallejo, CA MSA453,4919.71%
124Santa Maria-Santa Barbara, CA MSA448,2295.74%
125Salinas, CA MSA439,0355.78%
126Salem, OR MSA433,35310.91%
127Mobile, AL MSA430,197-0.09%
128Reading, PA MSA428,8494.23%
129Manchester-Nashua, NH MSA422,9375.54%
130Corpus Christi, TX MSA421,9334.17%
131Brownsville-Harlingen, TX MSA421,0173.64%
132Fort Wayne, IN MSA419,6017.97%
133Salisbury, MD-DE MSA418,04611.84%
134Gulfport-Biloxi, MS MSA416,2597.15%
135Flint, MI MSA406,211-4.60%
136Savannah, GA MSA404,79816.45%
137Peoria, IL MSA402,391-3.33%
138Canton-Massillon, OH MSA401,574-0.70%
139Anchorage, AK MSA398,3284.60%
140Beaumont-Port Arthur, TX MSA397,5652.27%
141Shreveport-Bossier City, LA MSA393,406-1.30%
142Trenton-Princeton, NJ MSA387,3405.68%
143Montgomery, AL MSA386,0473.07%
144Davenport-Moline-Rock Island, IA-IL MSA384,3241.22%
145Tallahassee, FL MSA384,2984.60%
146Eugene-Springfield, OR MSA382,9718.89%
147Ocala, FL MSA375,90813.47%
148Naples-Marco Island, FL MSA375,75216.87%
149Ann Arbor, MI MSA372,2587.97%
150Hickory-Lenoir-Morganton, NC MSA365,276-0.06%
151Huntington-Ashland, WV-KY-OH MSA359,862-2.98%
152Fort Collins, CO MSA359,06619.84%
153Lincoln, NE MSA340,21712.60%
154Gainesville, FL MSA339,24711.20%
155Rockford, IL MSA338,798-3.04%
156Boulder, CO MSA330,75812.29%
157Greeley, CO MSA328,98130.12%
158Columbus, GA-AL MSA328,8836.85%
159Green Bay, WI MSA328,2687.19%
160Spartanburg, SC MSA327,99715.37%
161South Bend-Mishawaka, IN-MI MSA324,5011.65%
162Lubbock, TX MSA321,36810.51%
163Clarksville, TN-KY MSA320,53517.01%
164Roanoke, VA MSA315,2512.12%
165Evansville, IN-KY MSA314,0490.80%
166Kingsport-Bristol, TN-VA MSA307,614-0.62%
167Kennewick-Richland, WA MSA303,62219.85%
168Olympia-Lacey-Tumwater, WA MSA294,79316.86%
169Hagerstown-Martinsburg, MD-WV MSA293,8449.18%
170Utica-Rome, NY MSA292,264-2.38%
171Duluth, MN-WI MSA291,6380.34%
172Crestview-Fort Walton Beach-Destin, FL MSA286,97321.67%
173Longview, TX MSA286,1842.21%
174Aguadilla-Isabela, PR Metropolitan Statistical Area286,064-15.72%
175Wilmington, NC MSA285,90512.17%
176San Luis Obispo-Paso Robles, CA MSA282,4244.74%
177Merced, CA MSA281,2029.93%
178Waco, TX MSA277,5479.80%
179Sioux Falls, SD MSA276,73021.23%
180Cedar Rapids, IA MSA276,5207.20%
181Bremerton-Silverdale-Port Orchard, WA MSA275,6119.75%
182Atlantic City-Hammonton, NJ MSA274,534-0.01%
183Erie, PA MSA270,876-3.45%
184Santa Cruz-Watsonville, CA MSA270,8613.23%
185Amarillo, TX MSA268,7616.68%
186Tuscaloosa, AL MSA268,67412.32%
187Norwich-New London, CT MSA268,555-2.01%
188College Station-Bryan, TX MSA268,24817.31%
189Laredo, TX MSA267,1146.72%
190Kalamazoo-Portage, MI MSA261,6704.53%
191Lynchburg, VA MSA261,5933.55%
192Charleston, WV MSA258,859-6.89%
193Yakima, WA MSA256,7285.55%
194Fargo, ND-MN MSA249,84319.67%
195Binghamton, NY MSA247,138-1.82%
196Fort Smith, AR-OK MSA244,310-1.57%
197Appleton, WI MSA243,1477.75%
198Prescott Valley-Prescott, AZ MSA236,20911.93%
199Macon-Bibb County, GA MSA233,8020.65%
200Tyler, TX MSA233,47911.33%
201Topeka, KS MSA233,152-0.31%
202Daphne-Fairhope-Foley, AL MSA231,76727.16%
203Barnstable Town, MA MSA228,9966.07%
204Bellingham, WA MSA226,84712.78%
205Rochester, MN MSA226,3299.40%
206Burlington-South Burlington, VT MSA225,5626.77%
207Lafayette-West Lafayette, IN MSA223,7166.38%
208Medford, OR MSA223,2599.87%
209Champaign-Urbana, IL MSA222,5382.17%
210Lake Charles, LA MSA222,40211.42%
211Charlottesville, VA MSA221,5249.91%
212Las Cruces, NM MSA219,5614.94%
213Hilton Head Island-Bluffton-Beaufort, SC MSA215,90815.45%
214Athens-Clarke County, GA MSA215,41511.88%
215Lake Havasu City-Kingman, AZ MSA213,2676.53%
216Chico, CA MSA211,632-3.80%
217Ponce, PR Metropolitan Statistical Area211,465-19.48%
218Columbia, MO MSA210,86410.76%
219Springfield, IL MSA208,640-0.73%
220Johnson City, TN MSA207,2854.31%
221Houma-Thibodaux, LA MSA207,137-0.50%
222Monroe, LA MSA207,1041.31%
223Elkhart-Goshen, IN MSA207,0474.80%
224Jacksonville, NC MSA204,57615.08%
225Yuma, AZ MSA203,8814.15%
226Gainesville, GA MSA203,13613.05%
227Florence, SC MSA199,964-2.73%
228St. Cloud, MN MSA199,6715.59%
229Bend, OR MSA198,25325.69%
230Racine, WI MSA197,7271.19%
231Warner Robins, GA MSA191,61414.33%
232Saginaw, MI MSA190,124-5.02%
233Punta Gorda, FL MSA186,84716.80%
234Terre Haute, IN MSA185,031-2.49%
235Billings, MT MSA184,16710.17%
236Redding, CA MSA182,1552.78%
237Dover, DE MSA181,85112.04%
238Kingston, NY MSA181,851-0.35%
239Joplin, MO MSA181,4093.36%
240Yuba City, CA MSA181,2088.58%
241Jackson, TN MSA180,5040.45%
242St. George, UT MSA180,27930.53%
243El Centro, CA MSA179,7022.96%
244Bowling Green, KY MSA179,63913.27%
245Abilene, TX MSA176,5796.85%
246Muskegon, MI MSA175,8242.11%
247Iowa City, IA MSA175,41914.96%
248Midland, TX MSA175,22023.68%
249Panama City, FL MSA175,2163.77%
250Auburn-Opelika, AL MSA174,24124.24%
251Arecibo, PR Metropolitan Statistical Area173,218-13.16%
252Hattiesburg, MS MSA172,2316.05%
253Eau Claire, WI MSA172,0076.74%
254Oshkosh-Neenah, WI MSA171,7302.84%
255Burlington, NC MSA171,41513.42%
256Coeur d'Alene, ID MSA171,36223.73%
257Bloomington, IL MSA170,9540.81%
258Greenville, NC MSA170,2431.25%
259Waterloo-Cedar Falls, IA MSA168,4610.38%
260East Stroudsburg, PA MSA168,327-0.89%
261Pueblo, CO MSA168,1625.72%
262Wausau-Weston, WI MSA166,4282.22%
263Blacksburg-Christiansburg, VA MSA166,3782.10%
264Odessa, TX MSA165,17120.45%
265Kahului-Wailuku-Lahaina, HI MSA164,7546.41%
266Janesville-Beloit, WI MSA163,6872.09%
267Bloomington, IN MSA161,0390.93%
268Jackson, MI MSA160,3660.07%
269Sebastian-Vero Beach, FL MSA159,78815.76%
270State College, PA MSA158,1722.72%
271Idaho Falls, ID MSA157,42918.13%
272Decatur, AL MSA156,4941.73%
273Madera, CA MSA156,2553.57%
274Chambersburg-Waynesboro, PA MSA155,9324.22%
275Grand Junction, CO MSA155,7036.12%
276Elizabethtown-Fort Knox, KY MSA155,5724.88%
277Santa Fe, NM MSA154,8237.39%
278Monroe, MI MSA154,8091.83%
279Niles, MI MSA154,316-1.59%
280Vineland-Bridgeton, NJ MSA154,152-1.75%
281Homosassa Springs, FL MSA153,8438.93%
282Hanford-Corcoran, CA MSA152,486-0.32%
283Bangor, ME MSA152,199-1.12%
284Alexandria, LA MSA152,192-1.12%
285Dothan, AL MSA151,0073.69%
286Florence-Muscle Shoals, AL MSA150,7912.48%
287Jefferson City, MO MSA150,3090.34%
288Sioux City, IA-NE-SD MSA149,9404.43%
289Albany, GA MSA148,922-3.21%
290Wichita Falls, TX MSA148,128-2.10%
291Valdosta, GA MSA148,1266.12%
292Texarkana, TX-AR MSA147,519-1.13%
293Logan, UT-ID MSA147,34817.46%
294Flagstaff, AZ MSA145,1017.95%
295Rocky Mount, NC MSA143,870-5.59%
296Lebanon, PA MSA143,2577.25%
297Dalton, GA MSA142,8370.43%
298Morristown, TN MSA142,7094.47%
299Winchester, VA-WV MSA142,63211.02%
300Morgantown, WV MSA140,0387.96%
301La Crosse-Onalaska, WI-MN MSA139,6274.46%
302Wheeling, WV-OH MSA139,513-5.70%
303Rapid City, SD MSA139,07410.04%
304Napa, CA MSA138,0191.12%
305Sumter, SC MSA136,700-4.02%
306Springfield, OH MSA136,001-1.69%
307Harrisonburg, VA MSA135,5718.26%
308Sherman-Denison, TX MSA135,54312.13%
309Battle Creek, MI MSA134,310-1.35%
310Jonesboro, AR MSA134,19610.88%
311Manhattan, KS MSA134,0465.48%
312Bismarck, ND MSA133,62620.79%
313Johnstown, PA MSA133,472-7.10%
314Carbondale-Marion, IL MSA133,435-4.11%
315Hammond, LA MSA133,1579.96%
316The Villages, FL MSA129,75238.89%
317Mount Vernon-Anacortes, WA MSA129,52310.80%
318Pittsfield, MA MSA129,026-1.67%
319Albany-Lebanon, OR MSA128,61010.23%
320Glens Falls, NY MSA127,039-1.46%
321Lawton, OK MSA126,652-2.79%
322Cleveland, TN MSA126,1648.96%
323Sierra Vista-Douglas, AZ MSA125,447-4.49%
324Staunton, VA MSA125,4335.85%
325Ames, IA MSA125,2528.12%
326Mansfield, OH MSA124,9360.37%
327San Angelo, TX MSA122,8888.78%
328Altoona, PA MSA122,822-3.36%
329New Bern, NC MSA122,168-3.65%
330Wenatchee, WA MSA122,01210.04%
331Farmington, NM MSA121,661-6.45%
332Owensboro, KY MSA121,5595.93%
333St. Joseph, MO-KS MSA121,467-4.60%
334San Germán, PR Metropolitan Statistical Area120,280-12.50%
335Lawrence, KS MSA118,7857.18%
336Sheboygan, WI MSA118,0342.19%
337Missoula, MT MSA117,9227.89%
338Goldsboro, NC MSA117,333-4.31%
339Weirton-Steubenville, WV-OH MSA116,903-6.07%
340Watertown-Fort Drum, NY MSA116,7210.42%
341Anniston-Oxford, AL MSA116,441-1.80%
342Beckley, WV MSA115,079-7.86%
343Twin Falls, ID MSA114,28314.74%
344Williamsport, PA MSA114,188-1.66%
345California-Lexington Park, MD MSA113,7778.20%
346Brunswick, GA MSA113,4951.00%
347Michigan City-La Porte, IN MSA112,4170.85%
348Muncie, IN MSA111,903-4.90%
349Lewiston-Auburn, ME MSA111,1393.19%
350Longview, WA MSA110,7308.12%
351Kankakee, IL MSA107,502-5.24%
352Ithaca, NY MSA105,7404.11%
353Grand Forks, ND-MN MSA104,3625.99%
354Fond du Lac, WI MSA104,1542.48%
355Decatur, IL MSA103,998-6.11%
356Bay City, MI MSA103,856-3.63%
357Gettysburg, PA MSA103,8522.41%
358Mankato, MN MSA103,5667.06%
359Gadsden, AL MSA103,436-0.95%
360Lima, OH MSA102,206-3.88%
361Sebring-Avon Park, FL MSA101,2352.48%
362Cheyenne, WY MSA100,5129.56%
363Hot Springs, AR MSA100,1804.33%
364Dubuque, IA MSA99,2665.99%
365Rome, GA MSA98,5842.35%
366Victoria, TX MSA98,3314.60%
367Cape Girardeau, MO-IL MSA97,5171.29%
368Fairbanks, AK MSA95,655-1.97%
369Ocean City, NJ MSA95,263-2.06%
370Corvallis, OR MSA95,18411.22%
371Cumberland, MD-WV MSA95,044-7.99%
372Pocatello, ID MSA94,8964.68%
373Mayagüez, PR Metropolitan Statistical Area93,412-19.62%
374Parkersburg-Vienna, WV MSA89,490-3.43%
375Grants Pass, OR MSA88,0906.50%
376Pine Bluff, AR MSA87,751-12.47%
377Great Falls, MT MSA84,4143.80%
378Elmira, NY MSA84,148-5.27%
379Yauco, PR Metropolitan Statistical Area84,112-21.63%
380Kokomo, IN MSA83,6581.09%
381Midland, MI MSA83,494-0.16%
382Bloomsburg-Berwick, PA MSA82,863-3.15%
383Columbus, IN MSA82,2087.05%
384Hinesville, GA MSA81,4244.50%
385Casper, WY MSA79,9555.97%
386Grand Island, NE MSA77,0385.93%
387Danville, IL MSA74,188-9.11%
388Guayama, PR Metropolitan Statistical Area72,240-14.22%
389Lewiston, ID-WA MSA64,3755.73%
390Enid, OK MSA62,8463.74%
391Walla Walla, WA MSA62,5846.47%
392Carson City, NV MSA58,6396.09%

From Metro to Micro

The wide variety of population patterns around the country can make it tricky to divide regions up into uniform units. There are two main divisions to consider when viewing this map:

  1. Metropolitan Areas (metro areas) have at least one urban core area of at least 50,000 population. These are the largest population centers, sometimes encompassing many counties. In some instances, these metro areas are further subdivided into Metropolitan Divisions.
  2. Micropolitan Areas are the smallest areas measured on this map (indicated by a lighter shade of green). These smaller regions, which are generally located further away from large cities, have at least one urban core area of at least 10,000 but fewer than 50,000 people.

One thing to note about all of these definitions is that the cities in these regions must have significant ties to a neighboring region—usually in the form of commuting ties. This is what warrants binding adjacent counties into a measurable area.

Another unique layer of data on this map is the shading that indicates the actual urbanized area within metro areas. In the example of Atlanta-Sandy Springs-Alpharetta, it’s easy to see how urban sprawl has expanded the urban area into a number of neighboring counties.

With this context in mind, we’ll take a closer look at three points of interest on the map that show this concept at work with varying degrees of complexity.

Level One: The Central City

The Texas Triangle offers what is perhaps the most straightforward example of metro areas.

central texas metro areas

As seen above, Houston, Austin, and San Antonio anchor their respective regions, and surrounding counties are bundled into a metro area. The surrounding counties have all been identified as having ties to the central county, and, in some cases, the urban area has spread into the neighboring county over time.

Level Two: The City Cluster

The region anchored by Salt Lake City requires more thought to divide into statistical areas.

salt lake city metro area

While there are a number of population centers in the area, including Salt Lake City, Provo, and Ogden, they all have enough of an economic “magnetic pull” to warrant splitting the region into distinct statistical areas.

Of course, regions are always evolving, and occasionally these areas are updated. Salt Lake City and Ogden were previously combined into a single metro area, but were separated in 2005.

Level Three: The Megaregion

New York City is the ultimate challenge for planners looking to categorize population centers into a neat and tidy statistical box.

For one, the contiguous urban area is massive, stretching from the west side of Long Island out to the east side of New Jersey. In addition to New York City itself, the metro area includes 19 other municipalities with over 100,000 people.

Next, NYC is an unparalleled economic magnet. Measuring commuting activity is a challenge because a wide variety of people visit the city for so many different reasons. The interconnectedness of the Northeast Megaregion also adds to the complexity.

new york city metro area

New York-Newark-Jersey City is such a big pie to carve up, that four of the country’s 11 metro divisions (as indicated by the italicized text and dotted lines) occur in this one area.

Blurring the Lines

Population patterns are constantly changing across the country, so the next version of this map may have a number of changes on it. Our “straightforward” Texas Triangle example may become tougher to divide up as the population boom continues in the region.

Here’s how the population of U.S. countries changed over the past decade:

population change U.S. 2010-2020

Further complicating matters is the rapid move to remote work and distributed teams. A key element of these census divisions are commuting ties. With work increasingly not bound by geographic limitations, it remains unclear how that trend will impact this type of statistical exercise in the future.

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Misc

Visualized: The Most Googled Countries

This series of visualizations uses Google trends search data to show the most googled countries around the world, from 2004 to 2022.

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Visualized: The Most Googled Countries, Worldwide

View a higher resolution version of this network diagram.

Analyzing societal trends can teach us a lot about a population’s cultural fabric.

And since Google makes up more than 90% of internet searches outside of the Great Firewall, studying its usage is one of the best resources for modern social research.

This series of visualizations by Anders Sundell uses Google Trends search data to show the most googled countries around the world, from 2004 to 2022. These graphics provide thought-provoking insight into different cultural similarities and geopolitical dynamics.

A Quick Note on Methodology

The visualization above shows the most googled country in each nation around the world over the last couple of decades.

For example, the arrow pointing from Canada to the United States means that, between 2004 and 2022, people in Canada had more searches about the U.S. than any other country globally.

And since this study only looked at interest in other countries, queries of countries searching for themselves were not included in the data.

Finally, each country’s circle is scaled relative to its search interest, meaning the bigger the circle, the more countries pointing to it (and searching for it).

The Top Googled Countries Overall

Perhaps unsurprisingly, the U.S. is the most googled country on the list, ranking first place in 45 of the 190 countries included in the dataset.

CountryTop Googled Country
🇦🇩​ Andorra🇪🇸​ Spain
🇦🇪​ The United Arab Emirates 🇮🇳 India
🇦🇫​ Afghanistan🇮🇷 Iran
🇦🇬 Antigua and Barbuda🇺🇸 The United States
🇦🇱 Albania🇮🇹 Italy
🇦🇲 Armenia🇷🇺 Russia
🇦🇴 Angola🇧🇷 Brazil
🇦🇷 Argentina🇪🇸​ Spain
🇦🇹 Austria🇩🇪 Germany
🇦🇺 Australia🇺🇸 The United States
🇦🇿 Azerbaijan🇹🇷 Turkey
🏴󠁢󠁡󠁢󠁩󠁨󠁿 Bosnia and Herzegovina🇷🇴 Romania
🇧🇧 Barbados🇬🇧 United Kingdom
🇧🇩 Bangladesh🇮🇳 India
🇧🇪 Belgium🇫🇷 France
🇧🇫 Burkina Faso🇫🇷 France
🇧🇬 Bulgaria🇷🇺 Russia
🇧🇭 Bahrain🇮🇳 India
🇧🇮 Burundi🇫🇷 France
🇧🇯 Benin🇫🇷 France
🇧🇳 Brunei🇲🇾 Malaysia
🇧🇴 Bolivia🇦🇷 Argentina
🇧🇷 Brazil🇺🇸 The United States
🇧🇸 The Bahamas 🇺🇸 The United States
🇧🇹 Bhutan🇮🇳 India
🇧🇼 Botswana🇿🇦 South Africa
🇧🇾 Belarus🇷🇺 Russia
🇧🇿 Belize🇺🇸 The United States
🇨🇦 Canada🇺🇸 The United States
🇨🇩 The Democratic Republic of Congo🇫🇷 France
🇨🇫 The Central African Republic🇫🇷 France
🇨🇬 The Congo🇨🇩 The Democratic Republic of Congo
🇨🇭 Switzerland🇩🇪 Germany
🇨🇮 Côte d'Ivoire🇫🇷 France
🇨🇱 Chile🇦🇷 Argentina
🇨🇲 Cameroon🇫🇷 France
🇨🇳 China🇺🇸 The United States
🇨🇴 Colombia🇺🇸 The United States
🇨🇷 Costa Rica 🇺🇸 The United States
🇨🇺 Cuba🇪🇸​ Spain
🇨🇻 Cabo Verde🇺🇸 The United States
🇨🇾 Cyprus🇬🇧 United Kingdom
🇨🇿 Czechia🇩🇪 Germany
🇩🇪 Germany🇺🇸 The United States
🇩🇯 Djibouti🇫🇷 France
🇩🇰 Denmark🇩🇪 Germany
🇩🇲 Dominica🇺🇸 The United States
🇩🇴 The Dominican Republic🇺🇸 The United States
🇩🇿 Algeria🇫🇷 France
🇪🇨 Ecuador🇺🇸 The United States
🇪🇪 Estonia🇷🇺 Russia
🇪🇬 Egypt🇸🇦 Saudi Arabia
🇪🇷 Eritrea🇪🇹 Ethiopia
🇪🇸 Spain🇺🇸 The United States
🇪🇹 Ethiopia🇺🇸 The United States
🇫🇮 Finland🇸🇪 Sweden
🇫🇯 Fiji🇦🇺 Australia
🇫🇲 Micronesia🇺🇸 The United States
🇫🇷 France🇺🇸 The United States
🇬🇦 Gabon🇫🇷 France
🇬🇧 United Kingdom🇺🇸 The United States
🇬🇩 Grenada🇺🇸 The United States
🇬🇪 Georgia🇷🇺 Russia
🇬🇭 Ghana🇺🇸 The United States
🇬🇲 Gambia🇬🇧 United Kingdom
🇬🇳 Guinea🇫🇷 France
🇬🇶 Equatorial Guinea🇪🇸​ Spain
🇬🇷 Greece🇬🇧 United Kingdom
🇬🇹 Guatemala🇸🇻 El Salvador
🇬🇼 Guinea-Bissau🇵🇹 Portugal
🇬🇾 Guyana🇮🇳 India
🇭🇳 Honduras🇺🇸 The United States
🇭🇷 Croatia🇩🇪 Germany
🇭🇹 Haiti 🇺🇸 The United States
🇭🇺 Hungary🇺🇸 The United States
🇮🇩 Indonesia🇯🇵 Japan
🇮🇪 Ireland🇬🇧 United Kingdom
🇮🇱 Israel🇺🇸 The United States
🇮🇳 India🇺🇸 The United States
🇮🇶 Iraq🇹🇷 Turkey
🇮🇷 Iran 🇹🇷 Turkey
🇮🇸 Iceland🇬🇧 United Kingdom
🇮🇹 Italy🇺🇸 The United States
🇯🇲 Jamaica🇺🇸 The United States
🇯🇴 Jordan🇪🇬 Egypt
🇯🇵 Japan🇺🇸 The United States
🇰🇪 Kenya🇺🇸 The United States
🇰🇬 Kyrgyzstan🇷🇺 Russia
🇰🇭 Cambodia🇹🇭 Thailand
🇰🇮 Kiribati🇫🇯 Fiji
🇰🇲 Comoros🇫🇷 France
🇰🇳 Saint Kitts and Nevis🇺🇸 The United States
🇰🇵 North Korea🇺🇸 The United States
🇰🇷 South Korea🇯🇵 Japan
🇰🇼 Kuwait🇮🇳 India
🇰🇿 Kazakhstan🇷🇺 Russia
🇱🇦 Laos🇹🇭 Thailand
🇱🇧 Lebanon🇸🇾 Syria
🇱🇨 Saint Lucia🇬🇧 United Kingdom
🇱🇮 Liechtenstein🇨🇭 Switzerland
🇱🇰 Sri Lanka🇮🇳 India
🇱🇷 Liberia🇺🇸 The United States
🇱🇸 Lesotho🇿🇦 South Africa
🇱🇹 Lithuania🇷🇺 Russia
🇱🇺 Luxembourg🇫🇷 France
🇱🇻 Latvia🇷🇺 Russia
🇱🇾 Libya🇪🇬 Egypt
🇲🇦 Morocco🇫🇷 France
🇲🇨 Monaco🇫🇷 France
🇲🇩 Moldova 🇷🇺 Russia
🇲🇪 Montenegro🇷🇸 Serbia
🇲🇬​ Madagascar🇫🇷 France
🇲🇰 Republic of North Macedonia🇷🇸 Serbia
🇲🇱 Mali🇫🇷 France
🇲🇲 Myanmar🇯🇵 Japan
🇲🇳 Mongolia🇯🇵 Japan
🇲🇷 Mauritania🇫🇷 France
🇲🇹 Malta🇬🇧 United Kingdom
🇲🇺 Mauritius🇮🇳 India
🇲🇻 Maldives🇮🇳 India
🇲🇼 Malawi🇿🇦 South Africa
🇲🇽 Mexico🇺🇸 The United States
🇲🇾 Malaysia🇯🇵 Japan
🇲🇿 Mozambique🇧🇷 Brazil
🇳🇪 The Niger🇫🇷 France
🇳🇬 Nigeria🇺🇸 The United States
🇳🇮 Nicaragua🇺🇸 The United States
🇳🇱 The Netherlands🇩🇪 Germany
🇳🇴 Norway🇸🇪 Sweden
🇳🇵 Nepal🇮🇳 India
🇳🇿 New Zealand🇦🇺 Australia
🇴🇲 Oman🇮🇳 India
🇵🇦 Panama🇺🇸 The United States
🇵🇪 Peru🇪🇸​ Spain
🇵🇬 Papua New Guinea🇦🇺 Australia
🇵🇭 The Philippines🇯🇵 Japan
🇵🇰 Pakistan🇮🇳 India
🇵🇱 Poland🇩🇪 Germany
🇵🇸 Palestine🇮🇱 Israel
🇵🇹 Portugal🇧🇷 Brazil
🇵🇾 Paraguay🇦🇷 Argentina
🇶🇦 Qatar🇮🇳 India
🇷🇴 Romania🇮🇹 Italy
🇷🇸 Serbia🇽🇰 Kosovo
🇷🇺 Russia🇺🇸 The United States
🇷🇼 Rwanda🇺🇬 Uganda
🇸🇦 Saudi Arabia🇪🇬 Egypt
🇸🇧 Solomon Islands🇦🇺 Australia
🇸🇨 Seychelles🇮🇳 India
🇸🇩 Sudan 🇪🇬 Egypt
🇸🇪 Sweden🇺🇸 The United States
🇸🇬 Singapore🇯🇵 Japan
🇸🇮 Slovenia🇭🇷 Croatia
🇸🇰 Slovakia🇨🇿 Czechia
🇸🇱 Sierra Leone🇬🇳 Guinea
🇸🇲 San Marino 🇮🇹 Italy
🇸🇳 Senegal🇫🇷 France
🇸🇴 Somalia🇮🇳 India
🇸🇷 Suriname🇳🇱 The Netherlands
🇸🇸 South Sudan🇺🇸 The United States
🇸🇹 Sao Tome and Principe🇵🇹 Portugal
🇸🇻 El Salvador🇺🇸 The United States
🇸🇾 Syria🇱🇧 Lebanon
🇸🇿 Eswatini🇿🇦 South Africa
🇹🇩 Chad🇺🇸 The United States
🇹🇬 Togo🇫🇷 France
🇹🇭 Thailand🇯🇵 Japan
🇹🇯 Tajikistan🇷🇺 Russia
🇹🇱 Timor-Leste🇸🇬 Singapore
🇹🇲 Turkmenistan🇷🇺 Russia
🇹🇳 Tunisia🇫🇷 France
🇹🇴 Tonga🇳🇿 New Zealand
🇹🇷 Turkey🇺🇸 The United States
🇹🇹 Trinidad and Tobago🇺🇸 The United States
🇹🇼 Taiwan🇯🇵 Japan
🇹🇿 Tanzania🇰🇪 Kenya
🇺🇦 Ukraine🇷🇺 Russia
🇺🇬 Uganda🇺🇸 The United States
🇺🇸 The United States🇲🇽 Mexico
🇺🇾 Uruguay🇦🇷 Argentina
🇺🇿 Uzbekistan🇷🇺 Russia
🇻🇨 Saint Vincent and the Grenadines🇧🇧 Barbados
🇻🇪 Venezuela 🇨🇴 Colombia
🇻🇳 Vietnam🇯🇵 Japan
🇻🇺 Vanuatu🇦🇺 Australia
🇽🇰 Kosovo🇦🇱 Albania
🇾🇪 Yemen🇸🇦 Saudi Arabia
🇿🇦 South Africa🇬🇧 United Kingdom
🇿🇲 Zambia🇿🇦 South Africa
🇿🇼 Zimbabwe🇿🇦 South Africa

While it’s the top googled country in neighboring places like Canada and Mexico, it’s also number one in countries much farther away like Nigeria, Sweden, and Australia.

The U.S. is currently the world’s largest economy by nominal GDP, and one of the biggest cultural influences globally. However, it’s worth noting that China, the world’s second-largest economy and the most populated, had very little search interest in comparison, at least based on Google Trends data.

Zooming into Specific Regions

In addition to the network map highlighting the overall top googled countries, Sundell created a series of videos breaking down the data monthly, by regions. Here are the videos for the U.S., Europe, and Asia.

The United States

Since 2004, there have been a high number of searches for Canada, Mexico and India in America.

The searches for Mexico seem to be concentrated in the Western U.S., which is also where a large portion of the country’s Hispanic population lives. In contrast, searches for India seem to come mostly from the eastern side of the country.

Europe

The U.S. is by the far the most commonly googled country across Europe, ranking number one consistently over the last two decades.

However, Russia stole the limelight in 2014, the year that they invaded and ultimately annexed Crimea.

Asia

In the early 2000s, the U.S. held the top googled spot in Asia, but over time, relative searches for the U.S. go down. India stole the top spot to become the most googled country in Asia for a majority of the 2010s.

One anomaly occurred when Japan briefly took the top spot in March 2011, which is when a magnitude 9.0 earthquake hit the northern coast of Japan, causing a devastating tsunami.

What will future search results reveal about the global landscape? Were any of the results surprising?

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Politics

Which Countries Trust Their Government, and Which Ones Don’t?

There is a clear correlation between trust in government and trust in public institutions, but a few countries buck the trend.

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Which Countries Trust Their Government, and Which Ones Don’t?

In many countries around the world, vast portions of the population do not trust their own government.

Lack of faith in government and politics is nothing new, but in times of uncertainty, that lack of trust can coalesce into movements that challenge the authority of ruling parties and even threaten the stability of nations.

This visualization uses data from the Ipsos Global Trustworthiness Monitor to look at how much various populations trust their government and public institutions.

Tracking Trust in Government

Since the beginning of the pandemic, global trust in government has improved by eight percentage points, but that is only a small improvement on an otherwise low score.

At the country level, feelings towards government can vary widely. India, Germany, Netherlands, and Malaysia had the highest government trust levels.

Many of the countries with the lowest levels of trust were located in Latin America. This makes sense, as trust in politicians in this region is almost non-existent. For example, in Colombia, only 4% of the population consider politicians trustworthy. In Argentina, that figure falls to just 3%.

Trust in Public Institutions

Broadly speaking, people trust their public services more than the governments in charge of managing and funding them. This makes sense as civil servants fare much better than politicians and government ministers in trustworthiness.

chart showing global trust in professions. Politicians and government ministers rank the lowest.

As our main chart demonstrates, there is a correlation between faith in government and trust in public institutions. There are clear “high trust” and “low trust” groupings in the countries included in the polling, but there is also a third group that stands out—the countries that have high trust in public institutions, but not in their government. Leading this group is Japan, which has a stark difference in trust between public services and politicians. There are many factors that explain this difference, such as values, corruption levels, and the reliability of public services in various countries.

While trust scores for government improved slightly during the pandemic, trust in public institutions stayed nearly the same.

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