We recently showed Times readers images culled from Google Street View of 10,000 neighborhoods around the United States. Could readers guess, we wondered, how residents in a given place voted in the 2020 presidential election just by eyeballing a typical street scene?
Our neighborhoods were representative of where American voters live, meaning they included about the right number of urban precincts, like this one in brownstone Brooklyn …
Imagery source: Google
… and more rural areas like this one outside Effingham, Ill.:
Imagery source: Google
Not surprisingly, readers nearly aced places like these, accurately guessing that city residents generally voted for Joe Biden and farm-country ones for Donald J. Trump.
But the game was harder than many readers expected, in part because most voters live in between these two extremes.
They live in places like this around Las Vegas …
Imagery source: Google
… or outside Spokane, Wash. …
Imagery source: Google
… or Valparaiso, Ind.:
Imagery source: Google
Places like these confounded our readers. And that may be expected: These precincts were very closely decided in 2020 and don’t fit neatly into any stereotype about Red or Blue America.
Our Street View scenes also have very few people in them, and so they offer few hints about the demographics of local voters. They show, instead, information about driveways, lawns, cars and houses.
Since our quiz was first published a little over a week ago, Times readers have made more than 15 million guesses about the politics of these 10,000 neighborhoods, giving us a better sense of how people perceive partisanship when given just these environmental clues. Most Times readers appeared to recognize the relationship between population density and politics (the denser a community, the more reliably Democratic it is, in general).
But as a group, Times readers did show a subtle bias in their guesses, toward Mr. Trump: When shown a scene from a competitive precinct, they were more likely to guess that Mr. Trump carried it than Mr. Biden.
We also suspect that some readers ascribed too much political meaning to pickup trucks and American flags. And readers looking for socioeconomic signals may have been foiled, too.
Here is some of what we learned from all these guesses — the right ones and the wrong ones. But first, if you haven’t played the game yet, we suggest you do that now.
The easy ones: packed cities and open skies
Below are the scenes that garnered the most accurate guesses from readers (here we’re showing you a small thumbnail of each, but in the game you can pan around every street in more detail). Readers almost universally pegged the neighborhoods at left as voting for Mr. Biden, and those at right as voting for Mr. Trump:
Biden precincts
New York
11498
New York
2263
Brooklyn, N.Y.
6129
Brooklyn, N.Y.
3604
New York
19719
Bronx, N.Y.
15639
New York
17728
New York
16167
New York
13401
Brooklyn, N.Y.
16814
New York
11127
New York
16905
Astoria, N.Y.
3274
Brooklyn, N.Y.
7862
Brooklyn, N.Y.
3086
Corona, N.Y.
9638
Brooklyn, N.Y.
10711
New York
5315
New York
17954
Boston
17257
San Francisco
11752
Brooklyn, N.Y.
14496
New York
15396
Brooklyn, N.Y.
17821
Bronx, N.Y.
8256
New York
16246
New York
4483
New York
2356
Philadelphia
19685
Bronx, N.Y.
8946
Sunnyside, N.Y.
5610
Brooklyn, N.Y.
12585
Brooklyn, N.Y.
9265
New York
16014
San Francisco
16454
Brooklyn, N.Y.
11053
Bronx, N.Y.
9405
Bronx, N.Y.
13288
Brooklyn, N.Y.
9760
Brooklyn, N.Y.
5360
New York
12021
Brooklyn, N.Y.
8979
New York
6259
New York
2800
New York
9217
Brooklyn, N.Y.
7146
New York
9998
Brooklyn, N.Y.
4492
Trump precincts
Augusta, Kan.
16330
Douglass, Kan.
147
Anna, Ohio
4191
Cuero, Texas
8149
La Moille, Ill.
16809
Dodgeville, Wis.
4949
Snyder, Okla.
15184
Grifton, N.C.
5538
Lexington, Neb.
10950
White City, Kan.
14717
Stanley, N.D.
14736
Fredonia, Kan.
17722
Royston, Ga.
16052
Effingham, Ill.
6960
Rush Center, Kan.
6765
Scottsbluff, Neb.
8784
Tuscola, Ill.
2146
Waelder, Texas
5512
Baltimore, Ohio
16186
Oakwood, Ill.
9597
Cleburne, Texas
15179
Norman, Okla.
10854
Roanoke, Ind.
10406
Walla Walla, Wash.
6421
Rolfe, Iowa
13789
Wiggins, Colo.
202
Saint Paul, Ind.
18829
Snyder, Texas
18134
Alamosa, Colo.
11376
Kenyon, Minn.
16129
Tremont, Miss.
17432
Green Bay, Wis.
10663
Conway, S.C.
13957
Madras, Ore.
13714
Council Bluffs, Iowa
19846
Dewey, Okla.
11617
Swanville, Minn.
9033
Granton, Wis.
1899
Oologah, Okla.
13917
Mathis, Texas
14137
Shelby, Ohio
16390
Oakwood, Ohio
10412
Farmer City, Ill.
11087
Greenview, Ill.
992
Ellensburg, Wash.
6728
Fennville, Mich.
14741
Boelus, Neb.
7910
Hartwell, Ga.
7531
Imagery source: Google
Clearly, Times readers have learned well that urban and rural America have different politics — a geographic divide that wasn’t so stark just a few generations ago.
The hardest ones: rural Biden, urban Trump
The scenes readers most frequently got wrong were often ones that broke this general rule. If you tripped over these, we get it (we tripped over them, too).
These images look like the reverse of the photos above: Now we have rural places that backed Mr. Biden on the left and urban neighborhoods that voted for Mr. Trump on the right.
Biden precincts
Santa Rosa, Calif.
11076
Greenwood, Miss.
15937
Hollandale, Wis.
3121
Dudley, N.C.
3441
Hollandale, Wis.
2497
Hephzibah, Ga.
8592
Gunnison, Colo.
10389
Tracy, Calif.
2091
Orangeburg, S.C.
7747
Moscow, Tenn.
2278
Hammonton, N.J.
19403
Houston, Miss.
932
Santa Fe, N.M.
3849
Centreville, Ill.
4286
Norwood, N.Y.
15220
Broomfield, Colo.
11413
Hemingway, S.C.
10321
Olympia, Wash.
8251
Rose Hill, N.C.
2309
Huntsville, Texas
4405
Morganton, N.C.
6182
Waterloo, Iowa
10161
Puyallup, Wash.
18070
Bowman, S.C.
19625
MacOn, Ga.
16601
Mayesville, S.C.
17795
Hartsville, S.C.
19870
Peru, N.Y.
2780
Bishopville, S.C.
17549
Granville, Ohio
7499
Mount Vernon, Wash.
12544
Santa Fe, N.M.
4262
Westminster, Colo.
16636
Canton, Miss.
19721
Fayetteville, Ark.
1034
Osyka, Miss.
18818
Alice, Texas
17559
Waterloo, Iowa
17433
Rewey, Wis.
11330
Shubuta, Miss.
12140
Georgetown, Texas
16367
Winterville, N.C.
7327
Williamston, Mich.
13002
Horn Lake, Miss.
8797
Spartanburg, S.C.
14781
Whiting, Vt.
2012
Byram, Miss.
16028
Chimacum, Wash.
6468
Trump precincts
Brooklyn, N.Y.
7522
Woodhaven, N.Y.
8349
Brooklyn, N.Y.
19785
Brooklyn, N.Y.
18928
Brooklyn, N.Y.
17198
Brooklyn, N.Y.
5673
Brooklyn, N.Y.
15781
Brooklyn, N.Y.
16174
Brooklyn, N.Y.
268
Brooklyn, N.Y.
11879
Brooklyn, N.Y.
3911
Brooklyn, N.Y.
3741
Brooklyn, N.Y.
581
Middle Village, N.Y.
17303
Brooklyn, N.Y.
14197
Brooklyn, N.Y.
16194
Forest Hills, N.Y.
2761
Brooklyn, N.Y.
19655
Ridgewood, N.Y.
6277
Brooklyn, N.Y.
10443
Staten Island, N.Y.
13442
Brooklyn, N.Y.
15202
Brooklyn, N.Y.
4630
Brooklyn, N.Y.
12404
Rego Park, N.Y.
13939
Forest Hills, N.Y.
10244
Brooklyn, N.Y.
2344
Philadelphia
14788
Brooklyn, N.Y.
2109
Charleston, S.C.
11867
Brooklyn, N.Y.
4095
Brooklyn, N.Y.
12430
Yonkers, N.Y.
9355
Brooklyn, N.Y.
2651
Middle Village, N.Y.
8652
Brooklyn, N.Y.
7452
Middle Village, N.Y.
9784
Brooklyn, N.Y.
13417
Philadelphia
10115
Miami
11621
Brooklyn, N.Y.
472
Brooklyn, N.Y.
9928
Brooklyn, N.Y.
14616
Maspeth, N.Y.
12473
Philadelphia
5293
Brooklyn, N.Y.
12938
Brooklyn, N.Y.
7189
Chicago
11300
Imagery source: Google
The single greatest outliers in the whole collection, shown among the pictures above, were in the Brighton Beach neighborhood of Brooklyn (in a precinct that voted for Mr. Trump by 52 points) and in a corner of Santa Rosa, Calif. (where Mr. Biden prevailed by 46 points). Readers almost universally got these two wrong.
The role of income
If you could accurately estimate the income level of a neighborhood, that would be another helpful clue. Both the richest and poorest places voted overwhelmingly for Mr. Biden. But it’s not so easy to determine income — even at the extremes — from a single Street View image.
Among the precincts within the highest-income census tracts in our sample — places where the average household earns more than $150,000 a year — 81 percent voted for Mr. Biden (readers guessed Biden about 61 percent of the time). Below we’re showing you the very richest of those rich places, which tilt even more heavily toward Biden. There are a few gated walls here. But other scenes look almost rural, spoiling our density rule. A lot of money can buy you a very large wooded lot with few neighbors nearby and a house set far back from the road.
Corona Del Mar, Calif.
19819
Plano, Texas
9729
Hewlett, N.Y.
12034
Southlake, Texas
11231
Paradise Valley, Ariz.
15034
Southlake, Texas
15681
Alamo, Calif.
10187
Woodside, Calif.
17207
Lloyd Harbor, N.Y.
7175
Los Altos Hills, Calif.
14044
Chevy Chase, Md.
11180
New York
12615
Potomac, Md.
18704
Ridgewood, N.J.
18307
Woodside, Calif.
19976
Atherton, Calif.
19534
Pinecrest, Fla.
13227
Piedmont, Calif.
619
Atherton, Calif.
4685
Fairway, Kan.
12811
Redwood City, Calif.
16212
Fairfield, Conn.
16700
Syosset, N.Y.
4332
Kenilworth, Ill.
14613
Rye, N.Y.
11181
New York
14965
Villanova, Pa.
8631
Menlo Park, Calif.
10218
Cabin John, Md.
11423
Scarsdale, N.Y.
14522
Yardley, Pa.
9847
Gaithersburg, Md.
15573
Libertyville, Ill.
9240
Medina, Wash.
16201
Pacific Palisades, Calif.
6319
Chatham, N.J.
17647
New York
19609
Danville, Calif.
1519
Dallas
3951
San Francisco
13044
Rye, N.Y.
10524
Rye, N.Y.
1638
Winnetka, Ill.
18823
Menlo Park, Calif.
11947
Menlo Park, Calif.
3309
New York
12021
Woodinville, Wash.
18458
Lake Bluff, Ill.
12721
Imagery source: Google
Among census tracts below $27,000 in median income — close to the poverty line for a family of four — 89 percent of precincts voted for Mr. Biden (readers said 64 percent). But for the most part, those images don’t telegraph clear signals about income, either.
One of them shows a sidewalk homeless encampment on Skid Row in Los Angeles. But others capture a high-rise public housing development in Manhattan, a child care center in Vicksburg, Miss., and a block of handsome single-family homes in Huntington, W.Va.
Tricks readers said they tried: flags, trucks and sidewalks
Readers told us they had varying strategies for navigating this game. Some focused mostly on housing density. Others looked for the make and model of cars, or even the number of cars in a driveway (many cars might mean overcrowded working-class households with more than two working adults).
Some readers treated the presence of sidewalks as a proxy for density: Sidewalks are often missing in communities where there’s not much nearby to walk to. We also heard from readers confident that American flags and pickup trucks were clear indications of a community’s more conservative politics.
To test some of these ideas, we selected hundreds of images from our collection where these features appeared prominently.
Flags
We found that American flags don’t reveal much about a place’s politics. Among scenes we assessed that featured a prominent American flag, those places nearly evenly split 50-50 between Trump and Biden precincts. (Readers guessed the streets were in Trump precincts by about 60 percent to 40 percent.)
Some sample flags from Renton, Wash.:
Imagery source: Google
Philadelphia:
Imagery source: Google
Plainfield, Vt.:
Imagery source: Google
Overland Park, Kan.:
Imagery source: Google
Seneca, S.C.:
Imagery source: Google
Trucks
Pickup trucks were even less useful as a political signal of a Trump area. If you suspected a truck meant a more Republican-leaning precinct, you were more likely to be wrong than right: About 57 percent of places we identified with prominent pickup trucks were in Biden precincts. As a group, readers guessed Trump about 60 percent of the time in places like these.
Below, some of the places where pickup trucks were prominent in our sample:
Jonesboro, Ark.:
Imagery source: Google
Albuquerque:
Imagery source: Google
Manhattan:
Imagery source: Google
Bakersfield, Calif:
Imagery source: Google
Los Angeles:
Imagery source: Google
Sidewalks
Sidewalks were much more common in these scenes than flags or trucks. And they were indeed a decent way to approximate density — and, by extension, to gauge politics. Among the sidewalk scenes we found, about 70 percent were in places that Mr. Biden carried.
Around Tucson:
Imagery source: Google
Toledo, Ohio:
Imagery source: Google
Sonoma, Calif.:
Imagery source: Google
Seekonk, Mass.:
Imagery source: Google
Lewisville, Texas:
Imagery source: Google
The presence of sidewalks might be particularly useful in sorting inner-ring suburbs built before World War II (which lean Democratic) from newer, more car-dependent exurbs (which lean Republican), or in identifying the close-in neighborhoods of smaller towns.
The magic density tipping point
As we suspected, readers tended to struggle with suburban-looking neighborhoods, the sort that are, on average, more evenly divided between Democratic and Republican voters.
Population density is a helpful tool — if you let that be your only guide, you could do pretty well in this game. Where density doesn’t help as much is at the threshold between urban and rural.
If we’re being exact, that threshold is in places that have about 848 voters per square mile. Nearly 75 percent of precincts denser than that backed Mr. Biden, and nearly 75 percent of precincts less dense than that backed Mr. Trump. Understandably, most of us are terrible at picturing population density in the real world — what do places with 848 voters per square mile look like?
Well, they look like this:
Hendersonville, Tenn.
15240
Manhattan, Kan.
4631
Los Lunas, N.M.
18336
Spencerport, N.Y.
3633
Mokena, Ill.
17696
Avondale, Ariz.
3108
Vernon, Conn.
3258
Sharpsville, Pa.
13478
Weymouth, Mass.
13544
Destin, Fla.
2032
Avon, N.Y.
11453
Dayton, Ohio
15187
Rochester, N.Y.
20010
Sumter, S.C.
6784
Summerville, S.C.
4318
Brandon, Miss.
6669
Des Moines
12633
Alton, Ill.
19622
Fayetteville, N.C.
14995
Los Angeles
18325
Keller, Texas
15369
Poughkeepsie, N.Y.
4
Foster City, Calif.
6580
Terrell, Texas
4931
Camarillo, Calif.
8639
Sumter, S.C.
18567
Russellville, Ark.
3303
Greenbelt, Md.
15966
Saint John, Ind.
19382
Littleton, Colo.
7460
Marion, Ind.
14347
Genoa, Ohio
3522
Hudson, N.Y.
886
Tolleson, Ariz.
16203
Plain, Wis.
16191
Houston
9446
Baltimore
760
Harrisburg, Pa.
10368
Shawnee, Kan.
18958
Allentown, Pa.
15386
Mesquite, Texas
19841
Pittsburgh
5259
Hamilton, Ohio
18168
Moon Twp, Pa.
13665
West Liberty, Ohio
12882
Fort Wayne, Ind.
8039
Columbus, Ohio
19195
Madison, Wis.
4238
Imagery source: Google
Main Street(s), U.S.A.
This last set of images is not particularly revelatory about political geography in America today. But we think it’s fun.
When you sample 10,000 addresses from neighborhoods all across the country, you get a lot of homes on Main Street. One hundred and thirteen of them, to be exact, across 30 states, from rural Minnesota to the heart of El Segundo, Calif. Here are all of our Main Street scenes in their cumulative glory. There are about twice as many Trump neighborhoods as Biden ones in this group.
Oak Hill, Ohio
18434
Mocksville, N.C.
10359
Lindsborg, Kan.
16855
Phelps, N.Y.
18853
Schoharie, N.Y.
18546
Bay Shore, N.Y.
17265
Downers Grove, Ill.
14515
Whitehall, Pa.
6418
Cathlamet, Wash.
11391
Brewer, Me.
7018
Frisco, Colo.
2256
Wheaton, Ill.
3239
Madrid, Iowa
107
Cedar City, Utah
13945
Damiansville, Ill.
19414
Napa, Calif.
6407
Cadott, Wis.
7147
Castile, N.Y.
8563
Colo, Iowa
7148
Pierz, Minn.
2791
Tremont, Pa.
17666
Alden, N.Y.
18229
Woodsfield, Ohio
7382
Chillicothe, Ohio
5918
Madison, Ohio
69
Bloomsburg, Pa.
16801
Keedysville, Md.
10239
Bozeman, Mont.
15377
Chatfield, Minn.
7940
Buffalo
2374
Brockton, Mass.
3630
Portage, Ohio
13901
Midland, Ohio
9283
Caledonia, Miss.
2076
Idabel, Okla.
17809
Whitehall, Pa.
4632
Searsmont, Me.
3677
Cazenovia, Wis.
7122
Dickson City, Pa.
8212
Clintonville, Wis.
12810
Corona, N.M.
1095
Arcanum, Ohio
19857
Panama, N.Y.
5110
Callery, Pa.
12174
Waterboro, Me.
1500
Bluffton, Ohio
15941
Bowler, Wis.
9280
Otho, Iowa
3648
Woonsocket, S.D.
6893
Ninety Six, S.C.
14445
Gatesville, Texas
11530
Oshkosh, Wis.
9279
Cornwall, N.Y.
16850
Lincolnville, Me.
2304
Kaysville, Utah
4113
Mendham, N.J.
19729
Brownsville, Pa.
9234
Marlborough, Mass.
6223
Amanda, Ohio
13234
Fremont, Neb.
11542
Burlington, N.C.
5301
Sparta, Ill.
17378
Roswell, N.M.
6871
Shelby, Ohio
2730
Hopkins, Minn.
445
Dunkirk, N.Y.
18472
Darlington, Md.
15083
Concord, Vt.
7432
Clarkdale, Ariz.
1666
Middleton, Tenn.
3363
Napa, Calif.
11288
Chillicothe, Ohio
11911
Circleville, Ohio
7339
MacKinac Island, Mich.
4321
Newark, Ohio
18402
Lawndale, N.C.
11206
Oakfield, N.Y.
12836
El Segundo, Calif.
11707
Kings Park, N.Y.
14950
Blackstone, Mass.
9097
Accident, Md.
9432
Greenwich, Ohio
9541
Hohenwald, Tenn.
5775
Athens, Pa.
9517
Bristol, Vt.
10261
Ney, Ohio
4438
Hempstead, N.Y.
2666
Grantsville, Utah
8528
Tustin, Calif.
756
Creston, Ohio
3744
Lockport, N.Y.
7212
Monongahela, Pa.
672
Houston
5184
Thompsontown, Pa.
12531
Collinsville, Ill.
2820
Dundee, Mich.
17201
Gurdon, Ark.
8026
Batavia, N.Y.
16870
Norwood, N.Y.
15220
Ferndale, Calif.
2677
Royersford, Pa.
15230
Schuylkill Haven, Pa.
6703
Shamrock, Texas
12662
North Andover, Mass.
2819
La Crosse, Wis.
3416
Whitesville, N.Y.
1647
New Holland, Pa.
298
Highland, Kan.
11727
Fountain Inn, S.C.
10100
Ilion, N.Y.
2978
Voorheesville, N.Y.
9501
Whiting, Vt.
2012
Kingston, Mass.
13398
Imagery source: Google
Source: Elections - nytimes.com