Charles Petzold



The Systemic Racism of the Electoral College, Revisited

December 18, 2023
New York, N.Y.

The concept of one-person-one-vote is central to democracy. No person’s vote should have more power or influence than anyone else’s. In a 1964 case Wesberry v. Sanders, the Supreme Court stated this explicitly: “As nearly as practicable, one man’s vote in a Congressional election is to be worth as much as another’s.” In Reynolds v. Sims the concept was extended to state legislatures. In 1964, Chief Justice Earl Warren wrote “People, not land or trees or pastures, vote.” (These quotes are from a 1986 New York Times article “One Man, One Vote: Decades of Court Decisions”.)

Yet, there is one major American institution that violates the one-person-one-vote principle most egregiously and with greatest harm. What’s worse, it’s how we choose our President every four years. This is the Electoral College.

In the quadrennial election for President of the United States, each state gets a fixed number of electors that is equal to that state’s number of senators (which is always 2) plus the number of members in the House of Representatives, which is based on population and range from 1 (for six low-population states) to 52 (for California). Because of those two extra electors in each state, low-population states have a greater number of electors proportional to population. In most states, the candidate who gets a plurality of the popular vote (that is, more than any other candidate) is awarded all that state’s electors. The only exceptions are Maine and Nebraska, who apportion their electors based on state districts.

The most obvious result of this scheme is that individual voters in small-population states tend to have more power in choosing the President than individual voters in high-population states, and that difference can skew an election. This is not an academic issue: Twice in recent decades — in 2000 and 2016 — the candidate who lost the popular vote became President anyway. Elected officials often fancy themselves “the people’s choice,” but this is not always the case with the President.

What’s worse is that the Electoral College is racially biased. This is an example of systemic (or institutional) racism — racism that is not the result of discriminatory actions by individuals or by legislation that specifically targets particular races, but instead built into the system. Because low-population states demographically tend to have fewer non-White voters that high-population states, the Electoral College gives White voters greater power to choose the President.

Four years ago, I quantified how the Electoral College favors White voters in my blog entry “The Racism of the Electoral College, Mathematically Demonstrated”. That analysis was based on the 2010 census and the number of state electors applicable to the 2012, 2016, and 2020 elections. In this blog entry, I have updated that analysis with population data from the 2020 census and electors applicable for the 2024 and 2028 Presidential elections, and I have discussed my methodology in more detail.

The Handicapping of High-Population States

Article 1, Section 2, of the United States Constitution mandates that a census be held every ten years for allocating each state’s members in the House of Representatives and by extension, the number of electors of the Electoral College. The first census was held in 1790, and those counts became the basis of electoral votes in the 1792 Presidential election. In 1790, the highest population state was Virginia, which had about 12½ times the population of the lowest population state (Delaware). The number of electors for each state ranged from 3 to 21.

The penalization of high-population states by the Electoral College has worsened over the past two centuries. Today, the largest population state (California) has over 68 times the number of people in the least populated state of Wyoming, and the number of state electors now ranges from 3 to 54.

Here’s a table showing the 50 states plus the District of Columbia with their populations from the 2020 census. The fourth column shows the number of electors applicable for the 2024 and 2028 Presidential elections. (I’ll discuss where the census figures come from shortly; the number of electors are from a page on the National Archives site.) For each state, the penultimate column shows the number of Electors per Million of Population. The final column shows the Relative Electoral Strength of the voters in each state; this is obtained by simply dividing each state’s Electors per Million of Population by that value for the United States as a whole:

State Population Percent of Total Electors Electors per Million of Population Relative Electoral Strength
Alabama 5,024,279 1.52 % 9 1.79 1.10
Alaska 733,391 0.22 % 3 4.09 2.52
Arizona 7,151,502 2.16 % 11 1.54 0.95
Arkansas 3,011,524 0.91 % 6 1.99 1.23
California 39,538,223 11.93 % 54 1.37 0.84
Colorado 5,773,714 1.74 % 10 1.73 1.07
Connecticut 3,605,944 1.09 % 7 1.94 1.20
Delaware 989,948 0.30 % 3 3.03 1.87
District of Columbia 689,545 0.21 % 3 4.35 2.68
Florida 21,538,187 6.50 % 30 1.39 0.86
Georgia 10,711,908 3.23 % 16 1.49 0.92
Hawaii 1,455,271 0.44 % 4 2.75 1.69
Idaho 1,839,106 0.55 % 4 2.17 1.34
Illinois 12,812,508 3.87 % 19 1.48 0.91
Indiana 6,785,528 2.05 % 11 1.62 1.00
Iowa 3,190,369 0.96 % 6 1.88 1.16
Kansas 2,937,880 0.89 % 6 2.04 1.26
Kentucky 4,505,836 1.36 % 8 1.78 1.09
Louisiana 4,657,757 1.41 % 8 1.72 1.06
Maine 1,362,359 0.41 % 4 2.94 1.81
Maryland 6,177,224 1.86 % 10 1.62 1.00
Massachusetts 7,029,917 2.12 % 11 1.56 0.96
Michigan 10,077,331 3.04 % 15 1.49 0.92
Minnesota 5,706,494 1.72 % 10 1.75 1.08
Mississippi 2,961,279 0.89 % 6 2.03 1.25
Missouri 6,154,913 1.86 % 10 1.62 1.00
Montana 1,084,225 0.33 % 4 3.69 2.27
Nebraska 1,961,504 0.59 % 5 2.55 1.57
Nevada 3,104,614 0.94 % 6 1.93 1.19
New Hampshire 1,377,529 0.42 % 4 2.90 1.79
New Jersey 9,288,994 2.80 % 14 1.51 0.93
New Mexico 2,117,522 0.64 % 5 2.36 1.45
New York 20,201,249 6.09 % 28 1.39 0.85
North Carolina 10,439,388 3.15 % 16 1.53 0.94
North Dakota 779,094 0.24 % 3 3.85 2.37
Ohio 11,799,448 3.56 % 17 1.44 0.89
Oklahoma 3,959,353 1.19 % 7 1.77 1.09
Oregon 4,237,256 1.28 % 8 1.89 1.16
Pennsylvania 13,002,700 3.92 % 19 1.46 0.90
Rhode Island 1,097,379 0.33 % 4 3.65 2.25
South Carolina 5,118,425 1.54 % 9 1.76 1.08
South Dakota 886,667 0.27 % 3 3.38 2.08
Tennessee 6,910,840 2.09 % 11 1.59 0.98
Texas 29,145,505 8.79 % 40 1.37 0.85
Utah 3,271,616 0.99 % 6 1.83 1.13
Vermont 643,077 0.19 % 3 4.67 2.87
Virginia 8,631,393 2.60 % 13 1.51 0.93
Washington 7,705,281 2.32 % 12 1.56 0.96
West Virginia 1,793,716 0.54 % 4 2.23 1.37
Wisconsin 5,893,718 1.78 % 10 1.70 1.05
Wyoming 576,851 0.17 % 3 5.20 3.20
           
Total U.S. 331,449,281 100.00 % 538 1.62 1.00

I’ve included the District of Columbia in the table because after the 23rd Amendment to the Constitution was ratified in 1961, the citizens in the District of Columbia were allowed to participate in Presidential elections with a “number of electors of President and Vice President equal to the whole number of Senators and Representatives in Congress to which the District would be entitled if it were a State, but in no event more than the least populous State.” The District of Columbia has no voting representation in Congress but for Presidential elections, they have 3 electors.

I am very sad that this table excludes Puerto Rico and the other territories of the United States: American Samoa, Guam, Northern Mariana Islands, and United States Virgin Islands. Although the residents of these territories are United States citizens, they are prohibited from voting for President. Despite the fact that the population of Puerto Rico is greater than 22 states — despite the fact that the population of Puerto Rico is greater than the populations of Wyoming, Washington D.C., Vermont, and Alaska combined — the United States citizens who reside in Puerto Rico have no representation in Congress, and they are disenfranchised in the Presidential election.

But I digress.

You can sort the table alphabetically by state or numerically by population by clicking the arrow icons on the first two columns. Most illuminating is to sort by population. You can then see that the lowest population state has 5.20 electors per million of population while the highest population state has only 1.37. This results in a Relative Electoral Strength ranging from 3.20 to 0.84. What this means is that a resident of Wyoming has 3.8 times the power to choose a President than a resident of California.

Another way to look at this is that when compared with Wyoming, almost three out of every four residents of California are effectively disenfranchised by the Electoral College. Or, when compared with the country has a whole, the citizens of Wyoming exceed the one-person-one-vote rule by one-person-3.2-votes.

If the Electoral College were not mandated by the United States Constitution, it would be considered unconstitutional. As it is, it can only be replaced by a Constitutional Amendment, which unfortunately is quite unlikely.

Of course, advocates of federalism believe that the lopsidedness of the Electoral College is not a bug but a feature. But the principles of federalism are already embodied quite effectively in the United States Senate, in which each state regardless of its size is represented by two senators. The President, however, should not be representing the states but the people. There can never be a President favored by all Americans, but the least we can do is select a President by the majority of Americans.

A direct vote for President would also eliminate the racial bias built into the Electoral College.

How Race was Tabulated in the 2020 Census

Race is not a biological concept. It has no taxonomic significance. This world is home to three species of elephants, eight species of bears, forty species of dolphins, but only one species of humans.

Race is instead a social and cultural construct based on relatively insignificant physical characteristics associated with geographic ancestral origins. Optimally, we shouldn’t take account of race at all in our dealings with others, and someday we might ignore race altogether. However, a long history of racism has resulted in profound differences in standards of living related to race. Many vital statistics — including mortality, morbidity, income, wealth, housing, and educational and occupational opportunities — show notable differences by race. Ignoring race entirely in analyzing social phenomena would have the counter-productive effect of masking persistent racial injustices.

For this reason, information about race has continued to be included among the information solicited by our country’s decennial census. A recent New York Times article, “An American Puzzle: Fitting Race in a Box” explored how this information has changed over the centuries.

As you might remember (or as can see by examining a sample 2020 census form), ethnicity and race were most recently handled in two separate questions: For Person 1 in the household, it was questions 8 and 9; for other persons in the household, these were questions 6 and 7. Here’s the portion of that page containing those questions:

Census questions on race and ethnicity

As the census form notes, Spanish descent is not considered a racial category. However, immigration from Mexico, Latin America. and U.S. territories such as Puerto Rico, has resulted in a significant and important Hispanic or Latino population. Also notice that in Question 9, more than one box can be checked based on how the individual self-identifies with these racial categories.

Obviously, summarizing and tabulating this information was challenging for the Census Bureau, and using this information is challenging as well.

When I wrote my blog entry on this subject four years ago, I took advantage of a shortcut. My source for population data was Table 11 in a 2010 Census Brief “Overview of Race and Hispanic Origin: 2010.” For each state, Table 11 shows the total state population, the population of a category labeled Non-Hispanic White alone and the population of a category labeled Minority, which is defined in a footnote as “people who reported their ethnicity and race as something other than non-Hispanic White alone.,” in other words, those who checked only one box in the section on race. The term “minority” is convenient but not ideal, not least because in several states, this category accounts for more than half the population!

I could not find the equivalent of that 2010 Census Brief updated to 2020. Instead, I found several tables that provided much more detailed population data by race. For my purpose, the most useful tabulations on the census.gov website are four separate tables that are labeled P1, P2, P3, and P4. Each of these tables shows population data by state and racial category:

Census Table P1

This table shows the total population in each state, and the state populations for numerous racial categories based on the census tabulations. This table ignores information about Hispanic or Latino origin. The racial categories are indicated by labels in the leftmost column. Data are shown for those who selected just one racial classification, and for those who selected two, three, four, five, and six classifications, resulting in quite a lot of information.

Here is a section of Table P1 showing the population data for Alabama and Alaska (the first two states alphabetically) when the table is almost entirely collapsed except for those who classified themselves as being of only one race:

Census Table P1 Excerpt

You’ll see that the total populations of Alabama and Alaska agree with my earlier table that shows the population of each state. This is my source of population for those figures. The category White alone refers to people who answered the race question on the census form by checking only the White box. Similarly, the Black or African American alone category are those people who checked only the Black or African Am. box. Those who checked multiple boxes are tabulated in subcategories under the heading Population of two or more races.

Census Table P2

This table is similar in structure to Table P2. For each state, the top row shows the state’s total population, which agrees with Table P1. The second row shows the total Hispanic or Latino population for each state. The next row is labeled Not Hispanic or Latino, which is then divided into the same racial categories as Table P1.

Census Table P2 Excerpt

Table P2 does not divide the Hispanic or Latino category by race. However, those numbers can be derived by taking differences between Tables P1 and P2 for the various racial categories. For example, the number of Alabamians who identify as Hispanic or Latino and White alone is the White alone population in Table P1 (3,220,452) minus the Not Hispanic or Latino and White alone population in Table P2 (3,171,351).

Census Table P3

This is the same as Table P1 except restricted to ages 18 and over. This table is more appropriate for examining populations of people of voting age.

Census Table P4

This is the same as Table P2 except restricted to ages 18 and over.

Analyzing the Census Data

At first, my only goal was to update the results I showed in my earlier blog entry, which involves dividing the population between those who identified as not Hispanic or Latino and as White. These figures are obtained from Table P2, the 5th line under the headings. In the excerpt shown above, the populations of this group for Alabama and Alaska are 3,171,351 and 421,758. The Minority population in each state is then calculated by subtracting those numbers from the total population in each state. These three populations became the 2nd, 3rd, and 5th columns in the following table:

State Total Population Non-Hispanic White Percentage Non-Hispanic White Minority Percentage Minority Electors Non-Hispanic White Electors Minority Electors
Alabama 5,024,279 3,171,351 63.12 % 1,852,928 36.88 % 9 5.681 3.319
Alaska 733,391 421,758 57.51 % 311,633 42.49 % 3 1.725 1.275
Arizona 7,151,502 3,816,547 53.37 % 3,334,955 46.63 % 11 5.870 5.130
Arkansas 3,011,524 2,063,550 68.52 % 947,974 31.48 % 6 4.111 1.889
California 39,538,223 13,714,587 34.69 % 25,823,636 65.31 % 54 18.731 35.269
Colorado 5,773,714 3,760,663 65.13 % 2,013,051 34.87 % 10 6.513 3.487
Connecticut 3,605,944 2,279,232 63.21 % 1,326,712 36.79 % 7 4.425 2.575
Delaware 989,948 579,851 58.57 % 410,097 41.43 % 3 1.757 1.243
District of Columbia 689,545 261,771 37.96 % 427,774 62.04 % 3 1.139 1.861
Florida 21,538,187 11,100,503 51.54 % 10,437,684 48.46 % 30 15.462 14.538
Georgia 10,711,908 5,362,156 50.06 % 5,349,752 49.94 % 16 8.009 7.991
Hawaii 1,455,271 314,365 21.60 % 1,140,906 78.40 % 4 0.864 3.136
Idaho 1,839,106 1,450,523 78.87 % 388,583 21.13 % 4 3.155 0.845
Illinois 12,812,508 7,472,751 58.32 % 5,339,757 41.68 % 19 11.082 7.918
Indiana 6,785,528 5,121,004 75.47 % 1,664,524 24.53 % 11 8.302 2.698
Iowa 3,190,369 2,638,201 82.69 % 552,168 17.31 % 6 4.962 1.038
Kansas 2,937,880 2,122,575 72.25 % 815,305 27.75 % 6 4.335 1.665
Kentucky 4,505,836 3,664,764 81.33 % 841,072 18.67 % 8 6.507 1.493
Louisiana 4,657,757 2,596,702 55.75 % 2,061,055 44.25 % 8 4.460 3.540
Maine 1,362,359 1,228,264 90.16 % 134,095 9.84 % 4 3.606 0.394
Maryland 6,177,224 2,913,782 47.17 % 3,263,442 52.83 % 10 4.717 5.283
Massachusetts 7,029,917 4,748,897 67.55 % 2,281,020 32.45 % 11 7.431 3.569
Michigan 10,077,331 7,295,651 72.40 % 2,781,680 27.60 % 15 10.859 4.141
Minnesota 5,706,494 4,353,880 76.30 % 1,352,614 23.70 % 10 7.630 2.370
Mississippi 2,961,279 1,639,077 55.35 % 1,322,202 44.65 % 6 3.321 2.679
Missouri 6,154,913 4,663,907 75.78 % 1,491,006 24.22 % 10 7.578 2.422
Montana 1,084,225 901,318 83.13 % 182,907 16.87 % 4 3.325 0.675
Nebraska 1,961,504 1,484,687 75.69 % 476,817 24.31 % 5 3.785 1.215
Nevada 3,104,614 1,425,952 45.93 % 1,678,662 54.07 % 6 2.756 3.244
New Hampshire 1,377,529 1,200,649 87.16 % 176,880 12.84 % 4 3.486 0.514
New Jersey 9,288,994 4,816,381 51.85 % 4,472,613 48.15 % 14 7.259 6.741
New Mexico 2,117,522 772,952 36.50 % 1,344,570 63.50 % 5 1.825 3.175
New York 20,201,249 10,598,907 52.47 % 9,602,342 47.53 % 28 14.691 13.309
North Carolina 10,439,388 6,312,148 60.46 % 4,127,240 39.54 % 16 9.674 6.326
North Dakota 779,094 636,160 81.65 % 142,934 18.35 % 3 2.450 0.550
Ohio 11,799,448 8,954,135 75.89 % 2,845,313 24.11 % 17 12.901 4.099
Oklahoma 3,959,353 2,407,188 60.80 % 1,552,165 39.20 % 7 4.256 2.744
Oregon 4,237,256 3,036,158 71.65 % 1,201,098 28.35 % 8 5.732 2.268
Pennsylvania 13,002,700 9,553,417 73.47 % 3,449,283 26.53 % 19 13.960 5.040
Rhode Island 1,097,379 754,050 68.71 % 343,329 31.29 % 4 2.749 1.251
South Carolina 5,118,425 3,178,552 62.10 % 1,939,873 37.90 % 9 5.589 3.411
South Dakota 886,667 705,583 79.58 % 181,084 20.42 % 3 2.387 0.613
Tennessee 6,910,840 4,900,246 70.91 % 2,010,594 29.09 % 11 7.800 3.200
Texas 29,145,505 11,584,597 39.75 % 17,560,908 60.25 % 40 15.899 24.101
Utah 3,271,616 2,465,355 75.36 % 806,261 24.64 % 6 4.521 1.479
Vermont 643,077 573,201 89.13 % 69,876 10.87 % 3 2.674 0.326
Virginia 8,631,393 5,058,363 58.60 % 3,573,030 41.40 % 13 7.619 5.381
Washington 7,705,281 4,918,820 63.84 % 2,786,461 36.16 % 12 7.660 4.340
West Virginia 1,793,716 1,598,834 89.14 % 194,882 10.86 % 4 3.565 0.435
Wisconsin 5,893,718 4,634,018 78.63 % 1,259,700 21.37 % 10 7.863 2.137
Wyoming 576,851 469,664 81.42 % 107,187 18.58 % 3 2.443 0.557
                 
Total U.S. 331,449,281 191,697,647 57.84 % 139,751,634 42.16 % 538 319.099 218.901

The 4th and 6th column show the percentage of the populations of the two racial groups in each state. The table is sortable by any of these columns.

The Electors column shows the number of electors in each state, which is the same as the previous table. The final two column then divide the electors into Non-Hispanic White Electors and Minority Electors based on the percentages of those voters in each state.

This technique might seem odd at first. In most states (with two exceptions), all the state’s electors go to the candidate who gets a plurality of votes in that state, so it might not seem quite legitimate to divide the electors into two groups like this. It’s also quite obvious that individuals of particular races don’t vote in the same way.

Instead, this division of a state’s electors measures the extent to which the collective votes of individuals in these groups can affect the allocation of those electors. In a state whose population is divided equally between two groups, neither group has any intrinsic advantage over the other. If the split is instead 75% / 25% of the population, then the 75% group has a better (although not absolute) advantage in their collective political power. In my type of analysis, those two groups would be associated with 75% and 25% of the state’s electoral votes to reflect that difference.

The fractional electors in the final two columns are totaled. These are weighted averages of the electors in each state based on the population of the two racial groups. The results are summarized here:

  Population Apportioned Electors Electors per Million of Population Relative Electoral Strength
Non-Hispanic White: 191,697,647 319.1 1.665 1.026
Minority: 139,751,634 218.9 1.566 0.965
Total U.S.: 331,449,281 538.0 1.623 1.000

The values in the Electors per Million of Population are calculated by dividing Apportioned Electors by Population divided by a million. The Relative Electoral Strength is the Electors per Million of Population divided by that same value for the Total United States.

This is very similar to the results I got four years ago based on populations from the 2010 census. The Relative Electoral Strength of 1.026 for non-Hispanic White and 0.965 for minority voters might not seem like much, but it means that 17 minority voters are required to achieve the same electoral influence as 16 non-Hispanic White voters.

Where did I get those numbers of 16 and 17 voters? I tried a few possibilities and found that 16 and 17 to come closest to satisfying the following formula where the number of voters are multiplied by the respective Relative Electoral Strength values:

1.026×160.965×17

You can also derive these number of voters by taking the multiplicative inverse of the difference between the two electoral strengths:

11.0260.965= 10.06116.4

The two integers that surround 16.4 are 16 and 17.

That difference of 6.1% between the two Relative Electoral Strength values might be termed an Electoral Advantage, and it’s handy for determining how many voters of one group are necessary to balance the votes of another group.

But let’s derive an Electoral Advantage more formally. Suppose the population is divided into two groups with a greater Relative Electoral Strength value of Sg and a lesser value of Sl. We want to determine a number of people N to balance these strengths. Here the two Relative Electoral Strength values are multiplied by N±0.5:

Sg×(N0.5) = Sl×(N+0.5)

This can be then be solved for N:

N= (S1+S2)/2 SgSl

The denominator is just the difference of the two Relative Electoral Strength values and the numerator is the aveage. If the two values are close to 1, then the average is approximately 1.

I want to call the multiplicative inverse of this the Electoral Advantage and generalize it to resemble a common percentage difference:

Electoral Advantage= S1S2 (S1+S2)/2

Negative values indicate an electoral disadvantage. When a population is divided into just two categories, one category’s Electoral Advantage is just the negative of the other. Here’s a further summary of the table above:

  Electoral Advantage
Non-Hispanic White: 6.1%
Minority: – 6.1%

I also performed the same analysis using data from Table P1, which doesn’t take account of the Hispanic or Latino differentiation. When using the White alone populations from Table P1 (that is, the people who identifed solely as White without any other race), I discovered that the advantage of the White voters was somewhat less than non-Hispanic White voters.

  Electoral Advantage
White alone: 5.4%
Non-White alone: – 5.4%

This suggested that Latino voters of all races were penalized more than Minority voters as calculated above, which then prompted me to apply my analysis to all the data available in Tables P1, P2, P3, and P4 from the U.S. Census website.

Beyond the Binary Split

The four tables on the census.gov site have an option to download the data in CSV (comma-separated values) format, which I was able to incorporate into a JavaScript program to allocate the electors in each state among all the racial classifications. (My code is easily accessible by viewing this page’s source in your browser.)

I attempted to mimic the layout and some of the functionality of the tables on the census.gov site in the following two tables: The racial and ethnic categories can be collapsed or expanded by clicking the little arrow icons; the heavy vertical bar can be dragged left or right to reveal or truncate the long descriptions of these categories; and the table can be horizontally and vertically scrolled.

First, here is the data from Table P1:

 
 
 
   Racial Category from U.S. Census

As you can see, the Population columns for Alabama and Alaska agree with the little excerpt from Table P1 shown earlier. You can click the checkbox at the bottom to use only populations of ages 18 and over as tabulated in Table P3.

For each state, the numbers in the Population columns match the census data. The Percent of Total column shows the percentage of the state population in each ethnic or racial category. That’s just the population of the racial category divided by the total population in the state. The number of electors in each state is shown at the top of the Apportioned Electors column (9 for Alabama, 3 for Alaska, and so forth). The remainder of the column is calculated by multiplying that number of electors by the population percentage of each racial group.

If you horizontally scroll the data past Wyoming, you’ll see two sections of summaries. Under the heading All States Total for Racial Category appear the total Population of all states for each racial group, the Percent of Total, and the total of the Apportioned Electors in each state. The Electors per Million of population is then calculated. That value divided by the Electors Per Million of the total U.S. then provides a Relative Electoral Strength of each racial group.

The next section is similar except that it shows the figures for All States Total Minus Racial Category. The values in this section for White alone are for all other racial groups except White alone; the values for Black or African American alone are for all other racial groups except Black.

For example, the total population of the United States is 331,449,281. Under the heading All States Total for Racial Category, the population of White alone is 204,277,273, and the population of Black or African American alone is 41,104,200. Under the heading All States Total Minus Racial Category, the White alone row shows 127,172,008, which is the U.S. total of 331,449,281 minus the White alone population of 204,277,273. The Black or African American alone row shows 290,345,081, which is the U.S. total of of 331,449,281 minus the Black population of 41,104,200.

Each racial category is thus divided into two groups: the population in that particular racial category, and the population not in that racial category. That division into two groups allows calculating the Electoral Advantage value shown in the last column. As described earlier, the Electoral Advantage is the difference between the two Relative Electoral Strength values divided by their average. A negative value indicates am electoral disadvantage.

For many of the smaller racial groups (particularly those who checked multiple boxes on the census form), the population of the racial group is quite small, and hence the Percent of Total of the population that is not in the racial group is near 100%, and the Relative Electoral Strength is approximately 1.000.

What’s interesting is that certain non-White racial groups have a very high electoral advantage, for example, American Indian and Alaska Native alone with an 11.2% advantage. This is primarily because the states with appreciable populations of this group — Alaska with 15.2%, Arizona with 4.5%, Montana with 6.2%, New Mexico with 10.0%, North Dakota with 5.0%, Oklahoma with 8.4%, and South Dakota with 8.8% — are relatively low-population states. Similarly, the only state with more than 2% of a Native Hawaiian and Other Pacific Islander alone population is Hawaii, which has only 4 electors, resulting in that group having a 16.0% electoral advantage.

Of course, what we’re really measuring here is the demographic distribution of racial groups among high-population states and low-population states. But that’s the insidiousness of system racism. Why should a state of residence make a difference in how much clout various groups have in choosing the President?

The following table is similar except that it is based on census Table P2 (with calculations using Table P1) and thus includes the division between Hispanic or Latino and Not Hispanic or Latino:

 
 
 
   Racial / Ethnic Category from U.S. Census

This table calculates a 6.1% advantage to non-Latino White voters (which matches what’s shown in my earlier table with the binary split), but also a 8.1% disadvantage to the Latino population regardless of race.

Those two tables are some awkward to use, so here I’ve summarized the results for the major racial groups, more conventionally putting the sub-totals and totals at the bottom of each group rather than at the top:

  Population Percent of Total Apportioned Electors Electors per Million Relative Electoral Strength All Others Electoral Strength Electoral Advantage
Not Hispanic or Latino
     White alone
     Black or African American alone
     Asian alone
     All Others (including two or more races)
     Sub-Total
 
Hispanic or Latino
     White alone
     Black or African American alone
     Asian alone
     All Others (including two or more races)
     Sub-Total
 
Total Latino or Not Latino
     White alone
     Black or African American alone
     Asian alone
     All Others (including two or more races)
 
Total

The All Others Electoral Strength column is calculated using the total U.S. Population figure minus the Population for the particular racial and ethnic group, divided by the total U.S. electors minus the Apportioned Electors for the particular group, and then dividing by the Electors Per Million for the total U.S.

Here’s the same table but restricted to ages 18 and over:

  Population Percent of Total Apportioned Electors Electors per Million Relative Electoral Strength All Others Electoral Strength Electoral Advantage
Not Hispanic or Latino
     White alone
     Black or African American alone
     Asian alone
     All Others (including two or more races)
     Sub-Total
 
Hispanic or Latino
     White alone
     Black or African American alone
     Asian alone
     All Others (including two or more races)
     Sub-Total
 
Total Latino or Not Latino
     White alone
     Black or African American alone
     Asian alone
     All Others (including two or more races)
 
Total

What jumps out is the prevalence of negative numbers in the rightmost column. Almost every group except people who identify as non-Hispanic White alone are disadvantaged by the Electoral College. Obviously there is nothing in the Constitutional description of the Electoral College that explicitly penalizes various racial groups; nor is it administered with any racial bias. The problem is that the Electoral College favors low-population states which demographically tend to be White.

The bigger problem is that the Electoral College remains in place long after it has ceased to be performing any useful function.

What Can be Done? (Short Answer: Not Much)

Theoretically, it’s possible to amend the Constitution to change the way we vote. It’s been done before, most significantly with the 17th Amendment ratified in 1913. Prior to this amendment, senators were chosen by each state’s legislature. The 17th Amendment mandated that senators be selected by popular vote.

Similarly, another Constitutional amendment would be required to abolish the Electoral College and replace it by a nationwide popular vote. If you look back at the first table that I showed in this blog entry and ignore the District of Columbia (which has no role in ratifying Constitutional amendments), the final column reveals that replacing the Electoral College with a popular vote for President would result in the following:

  • 16 high-population states would gain electoral strength
  • 3 states would have about the same electoral strength
  • 31 low-population states would lose electoral strength
  • The problem is that such an amendment would require ratification by 38 states (three-quarters of 50), which would require at least 19 low-population states to voluntarily cede electoral power in choosing the President.

    Regardless of the benefit of such an amendment to the country as a whole, this would be an extremely hard sell.