2399: 2020 Election Map
| 2020 Election Map |
 Title text: There are more Trump voters in California than Texas, more Biden voters in Texas than New York, more Trump voters in New York than Ohio, more Biden voters in Ohio than Massachusetts, more Trump voters in Massachusetts than Mississippi, and more Biden voters in Mississippi than Vermont. |
- A larger version of this image can be found by clicking the image at xkcd.com - the comic's page can also be accessed by clicking on the comic number above.
Explanation[edit]
This is a sequel to an earlier comic, 1939: 2016 Election Map. The United States elects its president not directly by popular vote but by an Electoral College composed of a number of electors, partially proportional to population, from each state. Presently, a "winner-take-all" system is used in most states: the winner of the popular vote in each state receives all of the electoral votes for that state. Though, strictly speaking, the electors are not required to cast their ballots according to this system, many states impose penalties on them if they don't. Technically, the popular vote in each state is to elect a slate of electors who in turn elect the President.
During the election season, news outlets and other political trackers tend to color-code each state with the party which won the state (or which is projected or speculated to win). Since the 2000 election it's become common practice to code Republican victories as red and Democratic victories as blue. Other parties have less consistent colors, but are commonly green. These colors have become embedded in popular vernacular, as states that are heavily Republican are known as "red states" and those that are heavily Democratic are known as "blue states".
These graphics can be misleading as to the realities on the ground, though. Because each state is colored solidly red or blue, it gives the impression that each state belongs entirely to one party or the other, when the color could represent a very slender minority, or an overwhelming advantage. In addition, such a graphical view means that larger states translate to more area of a given color, giving the impression of party strength, even though that may not represent many voters. In the US, large cities trend largely Democratic, while rural areas trend largely Republican. This means that many Democratic voters are concentrated in relatively small urban areas, so a large "red" state may represent fewer voters than a small "blue" state.
Randall's solution to this is to represent the Republican and Democratic voters in each state with Cueball icons, each icon representing 250,000 voters. He has made some attempt to distribute the Cueball icons within a state in a manner similar to how the actual votes were distributed. This has the advantage of giving a decent impression of how popular each candidate was, how their popularity varied across the country, and how the votes were distributed by both state and region. It also gives at least a basic indication of population patterns in the US, with large regions that are sparsely inhabited, and populations clustered in urban centers.
The title text compares different voter pools in terms of absolute size. These facts are frequently counter-intuitive. California is generally thought of as a "blue state", and Texas as a "red state" (Although that may be changing), so it's surprising to realize that, in 2020, Donald Trump received more votes in California than he did in Texas. The reason for this is not complex, California has a huge population, nearly 40 million people, of whom 17.5 million voted in 2020. Even though Joe Biden won the state easily, Trump received 6 million of those votes. Texas, by contrast, has 27.7 million residents and 11.3 million voters in the 2020 election. Trump received 5.9 million of those votes, which was enough to win the state. Because of the huge variation in population among US states, and the political divisions within each state, there are multiple "blue" states which have more Republican voters that at least some "red" states, and vice versa. This underscores the importance of not viewing any state as politically uniform. Even if a state trends heavily toward one party, there is always a substantial population of the other party, and in large states, which means enough people that they'd be a formidable political force anywhere else.
| Biden/Harris | Trump/Pence | Total
Votes | |||
|---|---|---|---|---|---|
| State | Votes | Perc | Votes | Perc | |
| California | 11,110,250 | 63.48% | 6,006,429 | 34.32% | 17,500,881 |
| Texas | 5,259,126 | 46.48% | 5,890,347 | 52.06% | 11,315,056 |
| New York | 5,230,985 | 60.86% | 3,244,798 | 37.75% | 8,594,826 |
| Ohio | 2,679,165 | 45.24% | 3,154,834 | 53.27% | 5,922,202 |
| Massachusetts | 2,382,202 | 65.60% | 1,167,202 | 32.14% | 3,631,402 |
| Mississippi | 539,508 | 41.06% | 756,789 | 57.60% | 1,313,894 |
| Vermont | 242,820 | 66.09% | 112,704 | 30.67% | 367,428 |
The following table lists the number of 250,000-vote markers in the map by candidate and state, and compares this with the actual number of votes. Source
| Biden/Harris | Trump/Pence | Others | Total | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| State | Markers | Votes | Actual votes | Markers | Votes | Actual votes | Markers | Votes | Actual votes | Markers | Votes | Actual votes |
| Alabama (AL) | 3 | 750,000 | 849,624 | 6 | 1,500,000 | 1,441,170 | 0 | 0 | 32,488 | 9 | 2,250,000 | 2,323,282 |
| Alaska (AK) | 1 | 250,000 | 153,778 | 1 | 250,000 | 189,951 | 0 | 0 | 15,801 | 2 | 500,000 | 359,530 |
| Arizona (AZ) | 7 | 1,750,000 | 1,672,143 | 7 | 1,750,000 | 1,661,686 | 0 | 0 | 53,497 | 14 | 3,500,000 | 3,387,326 |
| Arkansas (AR) | 2 | 500,000 | 423,932 | 3 | 750,000 | 760,647 | 0 | 0 | 34490 | 5 | 1,250,000 | 1,219,069 |
| California (CA) | 44 | 11,000,000 | 11,110,250 | 24 | 6,000,000 | 6,006,429 | 2 | 500,000 | 384,202 | 70 | 17,500,000 | 17,500,881 |
| Colorado (CO) | 7 | 1,750,000 | 1,804,352 | 5 | 1,250,000 | 1,364,607 | 1 | 250,000 | 88,021 | 13 | 3,250,000 | 3,256,980 |
| Connecticut (CT) | 4.5 | 1,125,000 | 1,080,680 | 3 | 750,000 | 715,291 | 0.5 | 125,000 | 28,309 | 8 | 2,000,000 | 1,824,280 |
| Delaware (DE) | 1 | 250,000 | 296,268 | 1 | 250,000 | 200,603 | 0 | 0 | 7,475 | 2 | 500,000 | 504,346 |
| District of Columbia (DC) | 1 | 250,000 | 317,323 | 0 | 0 | 18,586 | 0 | 0 | 8,447 | 1 | 250,000 | 344,356 |
| Florida (FL) | 21 | 5,250,000 | 5,297,045 | 23 | 5,750,000 | 5,668,731 | 1 | 250,000 | 101,680 | 45 | 11,250,000 | 11,067,456 |
| Georgia (GA) | 10 | 2,500,000 | 2,473,633 | 10 | 2,500,000 | 2,461,854 | 0 | 0 | 62,229 | 20 | 5,000,000 | 4,997,716 |
| Hawaii (HI) | 2 | 500,000 | 366,130 | 1 | 250,000 | 196,864 | 0 | 0 | 11,475 | 3 | 750,000 | 574,469 |
| Idaho (ID) | 1 | 250,000 | 287,021 | 2 | 500,000 | 554,119 | 0 | 0 | 26,874 | 3 | 750,000 | 868,014 |
| Illinois (IL) | 14 | 3,500,000 | 3,471,915 | 10 | 2,500,000 | 2,446,891 | 1 | 250,000 | 114,938 | 25 | 6,250,000 | 6,033,744 |
| Indiana (IN) | 5 | 1,250,000 | 1,242,416 | 7 | 1,750,000 | 1,729,519 | 0 | 0 | 61,183 | 12 | 3,000,000 | 3,033,118 |
| Iowa (IA) | 3 | 750,000 | 759,061 | 4 | 1,000,000 | 897,672 | 0 | 0 | 34,138 | 7 | 1,750,000 | 1,690,871 |
| Kansas (KS) | 2 | 500,000 | 570,323 | 3 | 750,000 | 771,406 | 0 | 0 | 30,574 | 5 | 1,250,000 | 1,372,303 |
| Kentucky (KY) | 3 | 750,000 | 772,474 | 6 | 1,500,000 | 1,326,646 | 0 | 0 | 37,648 | 9 | 2,250,000 | 2,136,768 |
| Louisiana (LA) | 4 | 1,000,000 | 856,034 | 5 | 1,250,000 | 1,255,776 | 0 | 0 | 36,252 | 9 | 2,250,000 | 2,148,062 |
| Maine (ME) | 2 | 500,000 | 435,072 | 1 | 250,000 | 360,737 | 0 | 0 | 23,652 | 3 | 750,000 | 819,461 |
| Maryland (MD) | 8 | 2,000,000 | 1,985,023 | 4 | 1,000,000 | 976,414 | 0 | 0 | 75,593 | 12 | 3,000,000 | 3,037,030 |
| Massachusetts (MA) | 10 | 2,500,000 | 2,382,202 | 4 | 1,000,000 | 1,167,202 | 1 | 250,000 | 81,998 | 15 | 3,750,000 | 3,631,402 |
| Michigan (MI) | 11 | 2,750,000 | 2,804,040 | 9 | 2,250,000 | 2,649,852 | 1 | 250,000 | 85,410 | 21 | 5,250,000 | 5,539,302 |
| Minnesota (MN) | 7 | 1,750,000 | 1,717,077 | 6 | 1,500,000 | 1,484,065 | 0 | 0 | 76,029 | 13 | 3,250,000 | 3,277,171 |
| Mississippi (MS) | 2 | 500,000 | 539,508 | 3 | 750,000 | 756,789 | 0 | 0 | 17,597 | 5 | 1,250,000 | 1,313,894 |
| Missouri (MO) | 5 | 1,250,000 | 1,253,014 | 7 | 1,750,000 | 1,718,736 | 0 | 0 | 54,212 | 12 | 3,000,000 | 3,025,962 |
| Montana (MT) | 1 | 250,000 | 244,786 | 1 | 250,000 | 343,602 | 0 | 0 | 15,286 | 2 | 500,000 | 603,674 |
| Nebraska (NE) | 1 | 250,000 | 374,583 | 2 | 500,000 | 556,846 | 0 | 0 | 25,044 | 3 | 750,000 | 956,383 |
| Nevada (NV) | 3 | 750,000 | 703,486 | 3 | 750,000 | 669,890 | 0 | 0 | 32,000 | 6 | 1,500,000 | 1,405,376 |
| New Hampshire (NH) | 2 | 500,000 | 424,937 | 1 | 250,000 | 365,660 | 0 | 0 | 13,236 | 3 | 750,000 | 790,597 |
| New Jersey (NJ) | 9 | 2,250,000 | 2,608,335 | 7 | 1,750,000 | 1,833,274 | 0 | 0 | 57,744 | 16 | 4,000,000 | 4,549,353 |
| New Mexico (NM) | 2 | 500,000 | 501,614 | 2 | 500,000 | 401,894 | 0 | 0 | 20,457 | 4 | 1,000,000 | 923,965 |
| New York (NY) | 20.5 | 5,125,000 | 5,230,985 | 13 | 3,250,000 | 3,244,798 | 0.5 | 125,000 | 119,043 | 34 | 8,500,000 | 8,594,826 |
| North Carolina (NC) | 11 | 2,750,000 | 2,684,292 | 11 | 2,750,000 | 2,758,775 | 0 | 0 | 81,737 | 22 | 5,500,000 | 5,524,804 |
| North Dakota (ND) | 0 | 0 | 114,902 | 1 | 250,000 | 235,595 | 0 | 0 | 11,322 | 1 | 250,000 | 361,819 |
| Ohio (OH) | 11 | 2,750,000 | 2,679,165 | 12 | 3,000,000 | 3,154,834 | 1 | 250,000 | 88,203 | 24 | 6,000,000 | 5,922,202 |
| Oklahoma (OK) | 2 | 500,000 | 503,890 | 4 | 1,000,000 | 1,020,280 | 0 | 0 | 36,529 | 6 | 1,500,000 | 1,560,699 |
| Oregon (OR) | 5 | 1,250,000 | 1,340,383 | 4 | 1,000,000 | 958,448 | 1 | 250,000 | 75,490 | 10 | 2,500,000 | 2,374,321 |
| Pennsylvania (PA) | 15 | 3,750,000 | 3,458,229 | 14 | 3,500,000 | 3,377,674 | 0 | 0 | 79,380 | 29 | 7,250,000 | 6,915,283 |
| Rhode Island (RI) | 1 | 250,000 | 307,486 | 1 | 250,000 | 199,922 | 0 | 0 | 10,349 | 2 | 500,000 | 517,757 |
| South Carolina (SC) | 4 | 1,000,000 | 1,091,541 | 6 | 1,500,000 | 1,385,103 | 0 | 0 | 36,685 | 10 | 2,500,000 | 2,513,329 |
| South Dakota (SD) | 1 | 250,000 | 150,471 | 1 | 250,000 | 261,043 | 0 | 0 | 11,095 | 2 | 500,000 | 422,609 |
| Tennessee (TN) | 5 | 1,250,000 | 1,143,711 | 7 | 1,750,000 | 1,852,475 | 0 | 0 | 57,665 | 12 | 3,000,000 | 3,053,851 |
| Texas (TX) | 21 | 5,250,000 | 5,259,126 | 24 | 6,000,000 | 5,890,347 | 1 | 250,000 | 165,583 | 46 | 11,500,000 | 11,315,056 |
| Utah (UT) | 2 | 500,000 | 560,282 | 4 | 1,000,000 | 865,140 | 0 | 0 | 62,867 | 6 | 1,500,000 | 1,488,289 |
| Vermont (VT) | 1 | 250,000 | 242,820 | 0 | 0 | 112,704 | 0 | 0 | 3,608 | 1 | 250,000 | 367,428 |
| Virginia (VA) | 10 | 2,500,000 | 2,413,568 | 8 | 2,000,000 | 1,962,430 | 0 | 0 | 84,526 | 18 | 4,500,000 | 4,460,524 |
| Washington (WA) | 9 | 2,250,000 | 2,369,612 | 6 | 1,500,000 | 1,584,651 | 1 | 250,000 | 133,368 | 16 | 4,000,000 | 4,087,631 |
| West Virginia (WV) | 1 | 250,000 | 235,984 | 2 | 500,000 | 545,382 | 0 | 0 | 13,365 | 3 | 750,000 | 794,731 |
| Wisconsin (WI) | 7 | 1,750,000 | 1,630,866 | 6 | 1,500,000 | 1,610,184 | 0 | 0 | 56,991 | 13 | 3,250,000 | 3,298,041 |
| Wyoming (WY) | 0 | 0 | 73,491 | 1 | 250,000 | 193,559 | 0 | 0 | 9,715 | 1 | 250,000 | 276,765 |
| Total | 325 | 81,250,000 | 81,268,867 | 296 | 74,000,000 | 74,216,747 | 12 | 3,000,000 | 2,896,077 | 633 | 158,250,000 | 158,381,691 |
Transcript[edit]
- 2020 Election Map
- [One stick figure in a black circle] = 250,000 votes
- [Stick figure in a blue circle] Biden
- [Stick figure in a red circle] Trump
- [Stick figure in a green circle] Other
- Votes are distributed by state as accurately as possible while keeping national totals correct.
- Location within each state is approximate.
- [Blue, red, and green circles are distributed across a map of the United States.]
add a comment! ⋅ add a topic (use sparingly)! ⋅ 
refresh comments!Discussion
r/PeopleLiveInCities162.158.49.18 12:27, 17 December 2020 (UTC)
I see a political comic... sure hope this doesn't spiral out of control. ChessCake (talk) 22:21, 16 December 2020 (UTC)
- How dare you accuse me of spiraling things out of control, you so-and-so! This kind of baseless backwards logic is exactly the problem with people who share your particular political opinions! --NeatNit (talk) 22:38, 16 December 2020 (UTC)
- You're being sarcastic, right? Just want to be clear so we don't fuel the [potential] flames to come. ChessCake (talk) 22:51, 16 December 2020 (UTC)
- I took "so-and-so" as proof that neatnit was joking. Angry people on the internet use harsher words. SDT 162.158.75.38 22:57, 16 December 2020 (UTC)
- Definitely. Call someone a "blankety-blank" and you are inviting bloody revenge. These Are Not The Comments You Are Looking For (talk) 04:58, 20 December 2020 (UTC)
- Definitely. The "so-and-so" instead of an insult, and the deliberately vague grouping of "people who share your particular political opinions" were a clear giveaway. :) --V2Blast (talk) 22:59, 16 December 2020 (UTC)
- explainexplainxkcdcomments.com 172.68.65.154 00:54, 19 December 2020 (UTC)
- I took "so-and-so" as proof that neatnit was joking. Angry people on the internet use harsher words. SDT 162.158.75.38 22:57, 16 December 2020 (UTC)
- You're being sarcastic, right? Just want to be clear so we don't fuel the [potential] flames to come. ChessCake (talk) 22:51, 16 December 2020 (UTC)
It seems to me that one of the main messages in this comic is that voters for both Trump and Biden are pretty well distributed around the country. Looking at the typical choropleth maps with states colored red or blue, it can seem that the political division in the country is also a geographical division. This map, and the title text, emphasize that, at the scale of the whole country, that really isn't the case. The urban/suburban/rural breakdown isn't all that evident at this scale. Orion205 (talk) 07:06, 17 December 2020 (UTC)
- The urban/suburban/rural breakdown isn't all that evident at this scale: au contraire, it's quite clear that the denser the area, the more Biden voters there are, even in red states. See Texas for instance, where around big cities you have more blue dots than red.141.101.107.160 10:51, 17 December 2020 (UTC)
I found this map a few weeks ago and I love it, it kind of requires interactivity but it can be set to display the difference between population and land area in on of the best ways I've seen. Especially because you can set the population indicators to avoid overlapping, so you can get a land-area-like feel for their size. Kjmitch (talk) 18:27, 17 December 2020 (UTC)
Where does the .5 in the table for NY and CT come from? I can see that two markers sit across the border for the two states, but it personally seems to me that the numbers can be more accurate with some editing. 108.162.229.220 03:02, 18 December 2020 (UTC)
- Well, I added the 0.5s for CT because I could see the markers sitting across the border. But since the full table wasn't available yet at that time, I didn't know whether it was split on purpose or just lack of space. If it's more accurate to assign the markers to either state, then feel to do that. 162.158.159.18 10:13, 18 December 2020 (UTC)
I have no memory of this XKCD getting published, even though I was following the comic well before 2020. Dang. 173.245.52.208 04:17, 16 March 2022 (UTC)
As seen on CNN[edit]
https://www.cnn.com/2020/12/17/politics/donald-trump-joe-biden-2020-election/index.html
