Do non-English speaking drivers pose a safety hazard to others? The argument that non-English speakers cause more accidents than natives has been used for a while to call for English only driver’s license tests.
“We welcome non-English speaking people, who are legally in the U.S., to Alabama. However, if you want to drive in our states, public safety concerns dictate that you need to speak English.” – Tim James, 2010 Alabama gubernatorial race
More recently comments on Facebook such as
“…please excuse me for my following comment: but this is probably WHY the reason the driver test should only been taken in ENGLISH…‼️‼️‼️‼️ if people don’t know the language, they become a danger to themselves and others…‼️‼️‼️‼️”
“The DMV is the one to blame that make them take the test in different Chinese dialects because they don’t speak English and all our street signs are in English. No common sense at all…. well if you are living in the USA there should be a law that only give the test in one language only English no discrimination.”
This argument has been disproved in the past by looking at correlation between immigration and accidents data.
In this paper we used two datasets serving as surrogates for Non-English Speakers and Auto Accidents.
We obtained 2016 data for US New Permanent Residents from the US Department of Homeland Security, and Fatal Car Accidents by State from the Insurance Institute for Highway Safety (2016 is the last year available from the IIHS).
The data was standardized as Percent of each state’s population (also from IIHS), in order to be able to compare them between states. As a simple comparison, we calculated the correlation between the Fatal Car Accidents Percent and New Permanent Residents Percent. If in fact, non-English speakers cause more auto accidents, we would have found that states with high percent of New Permanent Residents will have high percent of Fatal Car Accidents.
For 2016, we found a very low negative correlation between between Fatal Car Accidents Percent and New Permanent Residents Percent. States with high Fatal Crashes Percent had low New Permanent Residents Percent and states with low Fatal Crashes Percent had high New Permanent Residents Percent. However, this relationship was weak (measured between -1 and 1).
The number and types of motor vehicle crash deaths differ widely among the 50 states and the District of Columbia. A state’s population has an obvious effect on the number of motor vehicle deaths. Fatality rates per capita and per vehicle miles traveled provide a way of examining motor vehicle deaths relative to the population and amount of driving. However, many factors can affect these rates, including types of vehicles driven, travel speeds, rates of licensure, state traffic laws, emergency care capabilities, weather, and topography.
Insurance Institute for Highway Safety 2016 https://www.iihs.org/iihs/topics/t/general-statistics/fatalityfacts/state-by-state-overview.
The 2016 Yearbook of Immigration Statistics is a compendium of tables that provide data on foreign nationals who are granted lawful permanent residence (i.e., immigrants who receive a “green card”), admitted as temporary nonimmigrants, granted asylum or refugee status, or are naturalized. The Yearbook also presents data on immigration enforcement actions, including apprehensions and arrests, removals, and returns.
US Department of Homeland Security 2016 https://www.dhs.gov/immigration-statistics/yearbook/2016/table4
To be able to compare the data from different states, one needs to standardize the data by transforming both, New Permanent Residents and Fatal Car Crashes, to percentages of each State Population.
| State | New Permanent Residents | Fatal Crashes | Population | New Permanent Residents % | Fatal Crashes % |
|---|---|---|---|---|---|
| Alabama | 4,736 | 937 | 4,863,300 | 0.097 % | 0.019 % |
| Alaska | 1,726 | 78 | 741,894 | 0.233 % | 0.011 % |
| Arizona | 20,694 | 865 | 6,931,071 | 0.299 % | 0.012 % |
| Arkansas | 3,158 | 488 | 2,988,248 | 0.106 % | 0.016 % |
| California | 223,141 | 3,357 | 39,250,017 | 0.569 % | 0.009 % |
| Colorado | 14,225 | 558 | 5,540,545 | 0.257 % | 0.01 % |
| Connecticut | 12,669 | 281 | 3,576,452 | 0.354 % | 0.008 % |
| Delaware | 2,204 | 116 | 952,065 | 0.231 % | 0.012 % |
| District of Columbia | 3,114 | 26 | 681,170 | 0.457 % | 0.004 % |
| Florida | 136,337 | 2,933 | 20,612,439 | 0.661 % | 0.014 % |
| Georgia | 29,572 | 1,422 | 10,310,371 | 0.287 % | 0.014 % |
| Hawaii | 6,285 | 109 | 1,428,557 | 0.44 % | 0.008 % |
| Idaho | 2,562 | 232 | 1,683,140 | 0.152 % | 0.014 % |
| Illinois | 43,207 | 1,003 | 12,801,539 | 0.338 % | 0.008 % |
| Indiana | 9,946 | 768 | 6,633,053 | 0.15 % | 0.012 % |
| Iowa | 5,299 | 356 | 3,134,693 | 0.169 % | 0.011 % |
| Kansas | 5,709 | 381 | 2,907,289 | 0.196 % | 0.013 % |
| Kentucky | 7,098 | 763 | 4,436,974 | 0.16 % | 0.017 % |
| Louisiana | 5,784 | 704 | 4,681,666 | 0.124 % | 0.015 % |
| Maine | 1,748 | 151 | 1,331,479 | 0.131 % | 0.011 % |
| Maryland | 26,077 | 472 | 6,016,447 | 0.433 % | 0.008 % |
| Massachusetts | 35,706 | 359 | 6,811,779 | 0.524 % | 0.005 % |
| Michigan | 22,569 | 980 | 9,928,300 | 0.227 % | 0.01 % |
| Minnesota | 15,603 | 357 | 5,519,952 | 0.283 % | 0.006 % |
| Mississippi | 2,149 | 628 | 2,988,726 | 0.072 % | 0.021 % |
| Missouri | 6,868 | 868 | 6,093,000 | 0.113 % | 0.014 % |
| Montana | 566 | 171 | 1,042,520 | 0.054 % | 0.016 % |
| Nebraska | 5,654 | 194 | 1,907,116 | 0.296 % | 0.01 % |
| Nevada | 11,555 | 303 | 2,940,058 | 0.393 % | 0.01 % |
| New Hampshire | 2,332 | 130 | 1,334,795 | 0.175 % | 0.01 % |
| New Jersey | 56,187 | 569 | 8,944,469 | 0.628 % | 0.006 % |
| New Mexico | 4,104 | 358 | 2,081,015 | 0.197 % | 0.017 % |
| New York | 159,878 | 965 | 19,745,289 | 0.81 % | 0.005 % |
| North Carolina | 20,811 | 1,348 | 10,146,788 | 0.205 % | 0.013 % |
| North Dakota | 1,595 | 102 | 757,952 | 0.21 % | 0.013 % |
| Ohio | 17,251 | 1,053 | 11,614,373 | 0.149 % | 0.009 % |
| Oklahoma | 5,960 | 624 | 3,923,561 | 0.152 % | 0.016 % |
| Oregon | 10,033 | 446 | 4,093,465 | 0.245 % | 0.011 % |
| Pennsylvania | 27,217 | 1,088 | 12,784,227 | 0.213 % | 0.009 % |
| Rhode Island | 4,194 | 48 | 1,056,426 | 0.397 % | 0.005 % |
| South Carolina | 5,104 | 936 | 4,961,119 | 0.103 % | 0.019 % |
| South Dakota | 1,229 | 103 | 865,454 | 0.142 % | 0.012 % |
| Tennessee | 10,032 | 966 | 6,651,194 | 0.151 % | 0.015 % |
| Texas | 110,651 | 3,407 | 27,862,596 | 0.397 % | 0.012 % |
| Utah | 7,271 | 259 | 3,051,217 | 0.238 % | 0.008 % |
| Vermont | 886 | 57 | 624,594 | 0.142 % | 0.009 % |
| Virginia | 29,242 | 722 | 8,411,808 | 0.348 % | 0.009 % |
| Washington | 27,304 | 504 | 7,288,000 | 0.375 % | 0.007 % |
| West Virginia | 928 | 250 | 1,831,102 | 0.051 % | 0.014 % |
| Wisconsin | 7,111 | 544 | 5,778,708 | 0.123 % | 0.009 % |
| Wyoming | 462 | 100 | 585,501 | 0.079 % | 0.017 % |
The plot, as well as the correlation, show weak negative relationships betwen Fatal Crashes Percent and New Permanent Residents Percent for 2016 in the US. In other words, states with high Fatal Crashes Percent have low New Permanent Residents Percent and states with low Fatal Crashes Percent have high New Permanent Residents Percent.
Since the relationship is not linear, we looked at both the Spearman and Kendall correlations.
The Spearman correlation between two variables is equal to the Pearson correlation between the rank values of those two variables; while Pearson’s correlation assesses linear relationships, Spearman’s correlation assesses monotonic relationships (whether linear or not).
Spearman's rank correlation rho
data: New.Permanent.Residents.Percent and Fatal.Crashes.Percent
S = 37466, p-value = 6.054e-08
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
-0.6952941
The Kendall rank correlation coefficient is a statistic used to measure the ordinal association between two measured quantities
Kendall's rank correlation tau
data: New.Permanent.Residents.Percent and Fatal.Crashes.Percent
z = -5.3688, p-value = 7.927e-08
alternative hypothesis: true tau is not equal to 0
sample estimates:
tau
-0.5184314
| State | Fatal Crashes | Population | Fatal Crashes % of Population |
|---|---|---|---|
| Mississippi | 628 | 2,988,726 | 0.021 % |
| Alabama | 937 | 4,863,300 | 0.019 % |
| South Carolina | 936 | 4,961,119 | 0.019 % |
| New Mexico | 358 | 2,081,015 | 0.017 % |
| Kentucky | 763 | 4,436,974 | 0.017 % |
| State | New Permanent Residents | Population | New Permanent Residents % of Population |
|---|---|---|---|
| New York | 159,878 | 19,745,289 | 0.81 % |
| Florida | 136,337 | 20,612,439 | 0.661 % |
| New Jersey | 56,187 | 8,944,469 | 0.628 % |
| California | 223,141 | 39,250,017 | 0.569 % |
| Massachusetts | 35,706 | 6,811,779 | 0.524 % |