CMPS 2024 - Report

Author

rcc3342@eid.utexas.edu

CMPS 2024 Summary

Haiiii :3

Basic Exploratory Analysis

Below are descriptive statistics of the CMPS variables, with special emphasis on Latino respondent demographics and attitudes.

Age:

NOTE: In all of the following crosstab proportions, the “All” category is inclusive of those who indicate that “Latino” is their “primary race or ethnicity.”

Distribution of Age Group in CMPS 2024
Age Group Total Count Percentage of Total
18-29 3974 20.2%
30-44 6637 33.8%
45-64 6115 31.1%
65+ 2908 14.8%
Age Variance Across Latino Respondents
Group 18-29 30-44 45-64 65+
All 20.2% 33.8% 31.1% 14.8%
Latino 24.7% 38.5% 28.1% 8.8%

As seen in the table above, Latino respondents seem to run a little younger than average.

Gender Identity:

Distribution of Gender Identity in CMPS 2024
Gender Identity Total Count Percentage of Total
Man 8970 45.7%
Woman 10526 53.6%
Non-binary 138 0.7%
Gender Identity Variance Across Latinos
Group Man Woman Non-binary
All 45.7% 53.6% 0.7%
Latino 44.8% 54.4% 0.8%
Education:

NOTE: I do not have a crosstab for education categories but could easily add one. My concern was legibility, considering how many categories for education there already are.

Below is a detailed breakdown of the education levels of all respondents.

Distribution of Education (Detailed) in CMPS 2024
Education (Detailed) Total Count Percentage of Total
Grades 1-8 128 0.7%
Some high school, but did not graduate 668 3.4%
High school graduate or GED 4724 24.1%
Some college 4011 20.4%
Associates, 2-year degree 2317 11.8%
Bachelors, 4-year degree 5114 26.0%
Post-graduate degree 2672 13.6%

Additionally, CMPS contains a broader categorical education variable that summarizes the categories above.

Distribution of Education Categories in CMPS 2024
Education Categories Total Count Percentage of Total
HS or less 5520 28.1%
Some College 6328 32.2%
4yr Degree 7786 39.7%

The largest category of survey respondents have a four year degree of some kind, although it is fairly evenly distributed.

Variance in Education Levels Across Respondents
Group HS or less Some College 4yr Degree
All 28.1% 32.2% 39.7%
Latino 33.1% 33.9% 33.0%
Income:

Below is a breakdown of which household income bracket respondents fall into. On average, Latino respondents are less likely to be in the $100k+ category. The majority of CMPS 2024 respondents broadly fell into the less than $39k bracket.

Distribution of Age Group in CMPS 2024
Age Group Total Count Percentage of Total
less than $39k 6719 34.2%
$40k-$59k 3592 18.3%
$60k-$99k 4644 23.7%
$100k+ 4593 23.4%
Don't know 86 0.4%
Income Variance Across Latinos
Group less than $39k $40k-$59k $60k-$99k $100k+ Don't know
All 34.2% 18.3% 23.7% 23.4% 0.4%
Latino 35.5% 19.5% 24.8% 19.9% 0.3%
Nativity:

NOTE: Perhaps a table that breaks down the total number of non-U.S. native respondents by race/ethnicity would be helpful here.

Over 70% of total CMPS 2024 respondents are hail from the United States, with just below 62% of Latino respondents being U.S. natives.

Distribution of Nativity in CMPS 2024
Nativity Total Count Percentage of Total
United States 13859 70.6%
Another country 5149 26.2%
Puerto Rico 368 1.9%
Another U.S. territory 258 1.3%
Variance of Nativity Across Latinos
Group United States Another country Puerto Rico Another U.S. territory
All 70.6% 26.2% 1.9% 1.3%
Latino 61.7% 30.0% 6.7% 1.6%
Vote Choice (2024):

The respondents of CMPS 2024 noticeably favor Kamala Harris, with nearly 50% of total respondents supporting her (whether or not they actually voted) in 2024.

NOTE: No voter verification, and the question specifically asks respondents to pick whom they would vote for, regardless of if they voted.

Distribution of Vote Choice in CMPS 2024
Vote Choice Total Count Percentage of Total
Donald Trump 6259 31.9%
Kamala Harris 9672 49.3%
Other 1011 5.1%
None 2692 13.7%

National Origin

Below are descriptors of racial and ethnic background.

Person of Color

Respondents who identified themselves as at least one of “Black” or “Latino” were asked if they identified as a person of color. “NA” indicates that they were not asked this question.

A majority of Latino and Black respondents identified as a person of color.

Distribution of Do you think of yourself as a person of color? in CMPS 2024
Do you think of yourself as a person of color? Total Count Percentage of Total Valid Percentage
Yes 7399 37.7% 65.8%
No 3147 16.0% 28.0%
Unsure 704 3.6% 6.3%
NA 8384 42.7% -

Noticeably fewer Latino respondents, however, seemed to identify as such compared to Black respondents.

Responses Across Primary Ethnicity: Do you identify as a person of color?
Group Yes No Unsure NA_
All 37.7% (7,399) 16.0% (3,147) 3.6% (704) 42.7% (8,384)
Asian 3.7% (149) 1.4% (58) 0.5% (20) 94.4% (3,832)
Black 86.8% (5,348) 9.8% (602) 3.4% (212) 0.0% (0)
Latino 43.8% (2,409) 46.9% (2,580) 9.3% (509) 0.0% (0)
Middle Eastern/Native American 9.2% (39) 3.5% (15) 1.9% (8) 85.3% (361)
Native-Hawaiian/Pacific Islander 10.9% (47) 4.7% (20) 2.1% (9) 82.3% (354)
White 11.8% (522) 9.1% (400) 1.7% (75) 77.4% (3,414)
Person of Color Significance

Of those who identified as a person of color, they were then asked how “important” being a person of color is to them. A majority of self-identified people of color found it “Extremely important” to them.

Distribution of How important is being a person of color to you? in CMPS 2024
How important is being a person of color to you? Total Count Percentage of Total Valid Percentage
Extremely important 4803 24.5% 64.9%
Somewhat important 1838 9.4% 24.8%
Not too important 530 2.7% 7.2%
Not important at all 228 1.2% 3.1%
NA 12235 62.3% -

Breaking this down into total respondents, we see that of Black respondents, nearly 62% in total consider themselves people of color and identify that status as “Extremely important” to them. On the other hand, only 22.7% of Latino respondents think the same.

How important is being a person of color to you?
Group Extremely important Somewhat important Not too important Not important at all NA_
All 24.5% (4,803) 9.4% (1,838) 2.7% (530) 1.2% (228) 62.3% (12,235)
Asian 1.6% (65) 1.2% (47) 0.8% (32) 0.1% (5) 96.3% (3,910)
Black 61.5% (3,790) 18.6% (1,146) 4.8% (296) 1.9% (116) 13.2% (814)
Latino 22.7% (1,249) 14.1% (775) 4.7% (259) 2.3% (126) 56.2% (3,089)
Middle Eastern/Native American 4.7% (20) 2.1% (9) 2.1% (9) 0.2% (1) 90.8% (384)
Native-Hawaiian/Pacific Islander 7.9% (34) 2.3% (10) 0.7% (3) 0.0% (0) 89.1% (383)
White 6.3% (279) 3.8% (167) 1.4% (60) 0.4% (16) 88.2% (3,889)

As an alternative visualization, respondents were filtered down to those that identified as people of color, so that proportions of importance were more stable. Even so, the proportion of Latino respondents who identified their status as “Extremely important” to them is 20% lower than the same measurement in Black respondents.

How important is being a person of color to you?
Group Extremely important Somewhat important Not too important Not important at all
All 64.9% (4,803) 24.8% (1,838) 7.2% (530) 3.1% (228)
Asian 43.6% (65) 31.5% (47) 21.5% (32) 3.4% (5)
Black 70.9% (3,790) 21.4% (1,146) 5.5% (296) 2.2% (116)
Latino 51.8% (1,249) 32.2% (775) 10.8% (259) 5.2% (126)
Middle Eastern/Native American 51.3% (20) 23.1% (9) 23.1% (9) 2.6% (1)
Native-Hawaiian/Pacific Islander 72.3% (34) 21.3% (10) 6.4% (3) 0.0% (0)
White 53.4% (279) 32.0% (167) 11.5% (60) 3.1% (16)
Race

Because on the CMPS, respondents were allowed to select multiple races, a race variable was made hyphenating racial identities of biracial people, although respondents who indicated being of more than two races were labeled “multiracial.”

A majority of respondents indicated that they were Black.

Distribution of Racial Identification in CMPS 2024
Racial Identification Total Count Percentage of Total Valid Percentage
asian 3613 18.4% 19.1%
asian-mena 9 0.0% 0.0%
asian-nhpi 31 0.2% 0.2%
black 5412 27.6% 28.6%
black-asian 33 0.2% 0.2%
black-mena 5 0.0% 0.0%
black-nhpi 11 0.1% 0.1%
latino 4348 22.1% 23.0%
latino-asian 86 0.4% 0.5%
latino-black 305 1.6% 1.6%
latino-mena 10 0.1% 0.1%
latino-nhpi 18 0.1% 0.1%
mena 292 1.5% 1.5%
multiracial 209 1.1% 1.1%
nhpi 287 1.5% 1.5%
white 3157 16.1% 16.7%
white-asian 161 0.8% 0.9%
white-black 255 1.3% 1.3%
white-latino 576 2.9% 3.0%
white-mena 55 0.3% 0.3%
white-nhpi 23 0.1% 0.1%
NA 738 3.8% -

Below are several more visualizations of who identifies as a person of color across different groups.

Note that the abundance of NAs in the table below are due to the respondent indicating that they are neither Latino nor Black. Only respondents who identified as either were given this question. For example, an Asian-Latino would be asked whether they identified as a person of color, but an Asian-Middle Eastern respondent would not.

“Primary” Ethnicity

Respondents were asked what they would identify as their “primary race or ethnicity” if they had to choose one. Their responses are used in the CMPS to tailor questions, and this response (rather than the detailed description above) is used for most of the downstream analyses.

Below is the overall distribution of how CMPS 2024 respondents identify their “primary” race or ethnicity.

Distribution of "Primary" Race in CMPS 2024
"Primary" Race Total Count Percentage of Total
asian 3874 19.7%
black 5840 29.7%
latino 4969 25.3%
mena 368 1.9%
native-american 1019 5.2%
nhpi 339 1.7%
white 3225 16.4%
Belonging

Respondents who indicated that they were at least one of Black, Latino, or Afro-Latino were then asked which ethnic/racial group they felt they belonged to.

Below is a breakdown of different groups, mixed or not, and which community they identify with.

NOTE: Counts makes more sense than proportions; however, the scale needs to be fiddled with because the smaller bars become basically invisible in scale with the majority.

race Asians Black people Family's home country Latinos/Hispanics Native Americans Other White people
black 0.69% (37) 85.49% (4,601) 3.14% (169) 2.71% (146) 1.86% (100) 3.46% (186) 2.66% (143)
black-asian 10.53% (2) 78.95% (15) 0.00% (0) 0.00% (0) 0.00% (0) 10.53% (2) 0.00% (0)
black-mena 0.00% (0) 33.33% (1) 0.00% (0) 66.67% (2) 0.00% (0) 0.00% (0) 0.00% (0)
black-nhpi 12.50% (1) 87.50% (7) 0.00% (0) 0.00% (0) 0.00% (0) 0.00% (0) 0.00% (0)
latino 0.95% (41) 3.81% (164) 2.09% (90) 77.83% (3,346) 2.37% (102) 2.61% (112) 10.33% (444)
latino-asian 9.30% (4) 0.00% (0) 6.98% (3) 67.44% (29) 0.00% (0) 6.98% (3) 9.30% (4)
latino-black 0.00% (0) 55.12% (167) 2.64% (8) 33.66% (102) 2.31% (7) 4.29% (13) 1.98% (6)
latino-mena 16.67% (1) 0.00% (0) 0.00% (0) 66.67% (4) 0.00% (0) 16.67% (1) 0.00% (0)
latino-nhpi 0.00% (0) 0.00% (0) 0.00% (0) 84.62% (11) 7.69% (1) 0.00% (0) 7.69% (1)
multiracial 5.36% (6) 34.82% (39) 6.25% (7) 30.36% (34) 2.68% (3) 14.29% (16) 6.25% (7)
white-black 0.45% (1) 69.09% (152) 3.18% (7) 0.91% (2) 0.45% (1) 19.09% (42) 6.82% (15)
white-latino 0.74% (3) 2.96% (12) 2.22% (9) 66.01% (268) 1.48% (6) 3.69% (15) 22.91% (93)
Afro-Latino Identification

Respondents who indicated they were primarily Black or Latino were then asked if they identified as Afro-Latino.

0 indicates “No,” and 1 indicates “Yes.”

Distribution of Do you identify as Afro-Latino? in CMPS 2024
Do you identify as Afro-Latino? Total Count Percentage of Total
0 4057 73.8%
1 1441 26.2%

Distribution of race was then re-visualized but filtered down only to those whom identified as “Afro-Latino.”

Interestingly, a majority of Afro-Latinos only described themselves as “Latino” when asked what they considered their race/ethnicity.

NOTE: ?? This is confusing me, and I feel like I need to double check the code here.

Hispanic/Latino Origin

Respondents were given the opportunity to describe their ethnic background in more detail. The CMPS survey offers both broad and detailed categories for these.

Latin origins were visualized below. Nearly half of the Latino respondents identify their “primary ancestry” as Mexican.

Distribution of Latin Origin in CMPS 2024
Latin Origin Total Count Percentage of Total Valid Percentage
CentAm 403 2.1% 7.3%
Cuban 351 1.8% 6.4%
Dominican 270 1.4% 4.9%
Mexican 2681 13.7% 48.8%
Other Latino 51 0.3% 0.9%
PR 919 4.7% 16.7%
SouthAm 656 3.3% 11.9%
Spanish 167 0.9% 3.0%
NA 14136 72.0% -

Below is a more detailed breakdown of responses.

Distribution of Hispanic Origin in CMPS 2024
Hispanic Origin Total Count Percentage of Total Valid Percentage
Argentina 130 0.7% 2.4%
Bolivia 12 0.1% 0.2%
Brazil 48 0.2% 0.9%
Chile 19 0.1% 0.3%
Colombia 138 0.7% 2.5%
Costa Rica 23 0.1% 0.4%
Cuba 351 1.8% 6.4%
Dominican Republic 270 1.4% 4.9%
Ecuador 52 0.3% 0.9%
El Salvador 143 0.7% 2.6%
Guatemala 82 0.4% 1.5%
Honduras 61 0.3% 1.1%
Mexico 2472 12.6% 45.0%
Nicaragua 40 0.2% 0.7%
Other 93 0.5% 1.7%
Panama 54 0.3% 1.0%
Paraguay 5 0.0% 0.1%
Peru 64 0.3% 1.2%
Puerto Rico 919 4.7% 16.7%
Spain 334 1.7% 6.1%
Uruguay 15 0.1% 0.3%
Venezuela 173 0.9% 3.1%
NA 14136 72.0% -

Appearances

Skin Tones

Below is a distribution of how all CMPS 2024 respondents identified the skin tone closest to theirs.

NOTE: Is “Q91 - how important is your skin tone color to your identity?” of interest?

Latino Skin Tones

This data was then filtered to only Latino respondents. Their distribution closely resembles the broader one.

Variance of Skin Tones Across Respondents
Group 1 2 3 4 5 6 7 8 9 10
All 13.9% 20.2% 18.1% 13.3% 8.9% 7.6% 6.4% 5.3% 3.2% 3.0%
Latino 13.4% 24.7% 23.8% 15.1% 9.3% 6.0% 3.6% 2.3% 0.9% 0.8%
Street Race

Respondents were given a list of ways they can be identified by a stranger on the street and were asked to rank the three most likely races they may be identified as. A “1” indicated it was the most likely option, while “3” indicated least likely.

NOTE: More exploratory analysis belongs here for sure, I think! I’m just not sure what exactly that would look like.

The average score for each potential street identification was calculated. In this case, a lower score for a group indicates that that primary race/ethnicity was more likely to be identified with them on the street.

NOTE: This is not presently weighted; while not a reliable metric now, I think it can be paired with proportion or can be weighted if necessary.

Street Race Likelihood; 1 = most likely, 3 = least likely
primary_race aian_street black_street easian_street latino_street mena_street nhpi_street other_street sasian_street seasian_street white_street
asian 2.17 2.14 1.36 2.10 2.24 2.49 1.98 1.57 1.71 1.98
black 2.30 1.14 2.25 2.14 2.29 2.40 2.03 2.40 2.24 2.13
latino 2.31 2.13 2.23 1.35 2.33 2.34 2.24 2.27 2.16 1.73
mena 2.28 2.00 2.09 1.98 1.58 2.10 1.82 1.89 2.19 1.68
native-american 1.48 1.90 2.30 1.79 2.29 2.23 2.21 2.37 2.28 1.66
nhpi 2.13 1.95 2.20 1.83 2.27 1.60 1.62 1.85 1.96 1.89
white 2.26 2.16 2.26 2.12 2.29 2.41 2.26 2.30 2.42 1.10

Below is a breakdown of the most likely street race identifiers for each group, based on mean score.

Most Likely Race Identifiers
primary_race Most Likely Second Most Likely Third Most Likely
asian easian sasian seasian
black black other white
latino latino white black
mena mena white other
native-american aian white latino
nhpi nhpi other latino
white white latino black
Mismatches

Afro-Latino Street Race
Proportion Identifying as Afro-Latino by Street Race
street_race Afro-Latino: 0 Afro-Latino: 1
aian 91.6% 8.4%
black 88.0% 12.0%
easian 97.5% 2.5%
latino 80.3% 19.7%
mena 85.7% 14.3%
nhpi 86.2% 13.8%
other 93.3% 6.7%
sasian 95.3% 4.7%
seasian 94.0% 6.0%
white 95.5% 4.5%

text

Average Street Identification Scores for Afro-Latinos; 1 = most likely, 3 = least likely
Street Race Mean Rank Selected
aian_street 2.27 19.3%
black_street 1.62 57.8%
easian_street 2.26 10.6%
sasian_street 2.29 10.3%
seasian_street 2.05 11.3%
latino_street 1.55 71.3%
mena_street 2.28 18.3%
nhpi_street 2.21 15.1%
white_street 1.94 32.3%
other_street 2.17 1.5%

Ideologies: Party Alignment

Distribution of Party ID in CMPS 2024
Party ID Total Count Percentage of Total
Democrat 8275 42.1%
Independent 6769 34.5%
Republican 4590 23.4%

[text]

Distribution of Party ID in CMPS 2024
Party ID Total Count Percentage of Total
Strong Democrat 5480 27.9%
Democrat 2795 14.2%
Weak Democrat 1373 7.0%
Ind/Oth 4483 22.8%
Weak Republican 913 4.7%
Republican 1527 7.8%
Strong Republican 3063 15.6%

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Party Identification by “Primary” Ethnicity

race Strong Democrat Democrat Weak Democrat Ind/Oth Weak Republican Republican Strong Republican
asian 19.40% (701) 17.49% (632) 8.52% (308) 24.99% (903) 6.23% (225) 10.41% (376) 12.95% (468)
asian-mena 22.22% (2) 11.11% (1) 11.11% (1) 11.11% (1) 0.00% (0) 0.00% (0) 44.44% (4)
asian-nhpi 41.94% (13) 16.13% (5) 9.68% (3) 9.68% (3) 0.00% (0) 19.35% (6) 3.23% (1)
black 40.95% (2,216) 15.45% (836) 6.08% (329) 22.14% (1,198) 2.62% (142) 3.71% (201) 9.05% (490)
black-asian 27.27% (9) 21.21% (7) 12.12% (4) 21.21% (7) 0.00% (0) 9.09% (3) 9.09% (3)
black-mena 20.00% (1) 20.00% (1) 20.00% (1) 20.00% (1) 0.00% (0) 20.00% (1) 0.00% (0)
black-nhpi 27.27% (3) 27.27% (3) 0.00% (0) 9.09% (1) 9.09% (1) 9.09% (1) 18.18% (2)
latino 24.86% (1,081) 14.93% (649) 7.04% (306) 23.90% (1,039) 4.46% (194) 8.76% (381) 16.05% (698)
latino-asian 20.93% (18) 22.09% (19) 5.81% (5) 27.91% (24) 3.49% (3) 4.65% (4) 15.12% (13)
latino-black 35.74% (109) 18.03% (55) 8.20% (25) 16.39% (50) 1.97% (6) 6.23% (19) 13.44% (41)
latino-mena 20.00% (2) 10.00% (1) 10.00% (1) 30.00% (3) 10.00% (1) 10.00% (1) 10.00% (1)
latino-nhpi 16.67% (3) 11.11% (2) 5.56% (1) 33.33% (6) 0.00% (0) 11.11% (2) 22.22% (4)
mena 21.23% (62) 10.62% (31) 7.88% (23) 29.79% (87) 5.82% (17) 11.64% (34) 13.01% (38)
multiracial 25.36% (53) 12.44% (26) 8.61% (18) 28.71% (60) 7.66% (16) 4.78% (10) 12.44% (26)
nhpi 11.50% (33) 12.54% (36) 6.62% (19) 33.10% (95) 6.97% (20) 11.15% (32) 18.12% (52)
white 23.88% (754) 9.15% (289) 6.56% (207) 17.29% (546) 5.89% (186) 9.60% (303) 27.62% (872)
white-asian 32.92% (53) 15.53% (25) 8.70% (14) 19.88% (32) 5.59% (9) 6.83% (11) 10.56% (17)
white-black 31.76% (81) 12.16% (31) 6.67% (17) 31.76% (81) 3.92% (10) 8.63% (22) 5.10% (13)
white-latino 24.83% (143) 12.15% (70) 6.42% (37) 18.06% (104) 6.42% (37) 7.81% (45) 24.31% (140)
white-mena 23.64% (13) 14.55% (8) 10.91% (6) 30.91% (17) 1.82% (1) 12.73% (7) 5.45% (3)
white-nhpi 17.39% (4) 17.39% (4) 0.00% (0) 26.09% (6) 13.04% (3) 8.70% (2) 17.39% (4)
NA 17.07% (126) 8.67% (64) 6.50% (48) 29.67% (219) 5.69% (42) 8.94% (66) 23.44% (173)

Breaking this down to Latino voters, we can see …

Latino Voters vs. the General Population
Party Identification: Overall vs. Latino Voters
Group Strong Democrat Democrat Weak Democrat Ind/Oth Weak Republican Republican Strong Republican
All 27.9% 14.2% 7.0% 22.8% 4.7% 7.8% 15.6%
Latino 25.4% 14.8% 7.1% 23.1% 4.6% 8.4% 16.7%
Group Strong Democrat Democrat Weak Democrat Ind/Oth Weak Republican Republican Strong Republican
All 27.9% (5,480) 14.2% (2,795) 7.0% (1,373) 22.8% (4,483) 4.7% (913) 7.8% (1,527) 15.6% (3,063)
Asian 20.3% (825) 17.4% (707) 8.5% (347) 24.8% (1,006) 6.1% (246) 10.0% (406) 12.9% (522)
Black 39.9% (2,459) 15.4% (947) 6.2% (384) 22.5% (1,387) 2.7% (169) 4.1% (254) 9.1% (562)
Latino 25.4% (1,399) 14.8% (811) 7.1% (389) 23.1% (1,270) 4.6% (253) 8.4% (460) 16.7% (916)
Middle Eastern/Native American 20.6% (87) 10.6% (45) 9.2% (39) 31.0% (131) 5.7% (24) 11.1% (47) 11.8% (50)
Native-Hawaiian/Pacific Islander 15.6% (67) 13.0% (56) 6.3% (27) 30.9% (133) 6.3% (27) 10.7% (46) 17.2% (74)
White 24.8% (1,094) 10.2% (451) 6.7% (295) 19.0% (838) 5.9% (260) 9.0% (399) 24.3% (1,074)
Party Identification & Vote Choice

[text]

pid Donald Trump Kamala Harris Other None
Democrat 6.69% (554) 85.68% (7,090) 2.32% (192) 5.31% (439)
Independent 26.43% (1,789) 33.22% (2,249) 9.96% (674) 30.39% (2,057)
Republican 85.32% (3,916) 7.25% (333) 3.16% (145) 4.27% (196)

text

Vote Choice Variance Among Latinos
Group Donald Trump Kamala Harris Other None
All 31.9% (6,259) 49.3% (9,672) 5.1% (1,011) 13.7% (2,692)
Asian 32.4% (1,314) 47.2% (1,915) 5.1% (206) 15.4% (624)
Black 20.1% (1,240) 62.0% (3,819) 4.9% (303) 13.0% (800)
Latino 33.5% (1,841) 45.5% (2,499) 5.5% (300) 15.6% (858)
Middle Eastern/Native American 29.6% (125) 37.1% (157) 13.0% (55) 20.3% (86)
Native-Hawaiian/Pacific Islander 37.7% (162) 36.0% (155) 5.8% (25) 20.5% (88)
White 43.3% (1,908) 44.0% (1,940) 4.4% (195) 8.3% (368)

Ideologies: Black-Latino Relations

[ideology1, ideology2]

Agree or Disagree Questions

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Ideologies: Coalition Politics

[ideology2]

Who is a “Man of Color”?

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Men of Color by Respondent Race
primary_race African American men Afro-Latino men Asian/Asian American men Black men Hispanic/Latino men I don't believe men of color is a category Middle Eastern/North African men Multi-racial/mixed race men Native Alaskan men Native American/Indigenous men Native Hawaiian or Pacific Islander men None of these groups Unsure White men
black 69.4% 48.6% 23.5% 76.6% 34.8% 6.4% 31.4% 37.7% 21.2% 28.9% 25.4% 0.9% 3.8% 2.6%
latino 57.0% 54.3% 21.6% 62.5% 45.3% 11.6% 31.4% 31.8% 19.7% 27.1% 24.5% 1.3% 6.6% 4.1%
Who is a “Woman of Color”?
Women of Color by Respondent Race
primary_race African American women Afro-Latina women Asian/Asian American women Black women Hispanic/Latina women I don't believe women of color is a category Middle Eastern/North African women Multi-racial/mixed race women Native Alaskan women Native American/Indigenous women Native Hawaiian or Pacific Islander women None of these groups Unsure White women
black 68.2% 43.7% 23.0% 76.1% 34.0% 5.8% 29.7% 36.3% 20.8% 27.7% 24.2% 1.2% 3.0% 2.9%
latino 52.8% 48.6% 19.3% 56.3% 48.4% 10.8% 28.6% 30.2% 18.2% 24.8% 21.7% 1.1% 5.3% 4.6%
Ideology 2
Thermometer - Mean Scores and Variance
Thermometer Ratings by Race (Mean with 95\% CI)
primary_race therm_aina therm_asian therm_black therm_blm therm_christian therm_democrat therm_gay therm_ind therm_jan6 therm_jewish therm_jfp therm_latino therm_mena therm_muslim therm_nonvoter therm_repub therm_trans therm_undocuimmi therm_white
asian 64.1 CI:[63.4, 64.9] 71.6 CI:[70.9, 72.3] 58.5 CI:[57.7, 59.3] 50.1 CI:[49.2, 51.1] 60.8 CI:[60.0, 61.6] 55.3 CI:[54.5, 56.2] 53.9 CI:[52.9, 54.8] 58.7 CI:[58.0, 59.5] 28.0 CI:[27.1, 28.9] 58.0 CI:[57.2, 58.8] 49.0 CI:[48.0, 49.9] 60.1 CI:[59.4, 60.9] 56.1 CI:[55.3, 56.9] 53.5 CI:[52.6, 54.3] 37.4 CI:[36.6, 38.2] 45.7 CI:[44.8, 46.6] 49.4 CI:[48.5, 50.4] 41.6 CI:[40.7, 42.5] 62.0 CI:[61.3, 62.8]
black 66.8 CI:[66.1, 67.5] 62.2 CI:[61.5, 62.9] 76.5 CI:[75.9, 77.1] 67.0 CI:[66.3, 67.8] 68.2 CI:[67.5, 68.9] 64.0 CI:[63.3, 64.8] 55.4 CI:[54.6, 56.3] 60.4 CI:[59.7, 61.0] 31.8 CI:[31.0, 32.6] 60.1 CI:[59.3, 60.8] 54.9 CI:[54.2, 55.7] 63.2 CI:[62.5, 63.9] 61.1 CI:[60.4, 61.8] 59.7 CI:[59.0, 60.4] 41.2 CI:[40.4, 41.9] 40.4 CI:[39.6, 41.2] 51.2 CI:[50.4, 52.0] 50.2 CI:[49.5, 51.0] 59.1 CI:[58.4, 59.8]
latino 69.9 CI:[69.2, 70.6] 66.0 CI:[65.3, 66.7] 67.0 CI:[66.2, 67.7] 56.2 CI:[55.3, 57.1] 65.5 CI:[64.7, 66.3] 57.9 CI:[57.1, 58.7] 58.8 CI:[57.9, 59.7] 59.8 CI:[59.1, 60.6] 34.3 CI:[33.4, 35.2] 62.1 CI:[61.3, 62.9] 53.6 CI:[52.7, 54.5] 76.3 CI:[75.7, 77.0] 61.4 CI:[60.6, 62.1] 57.5 CI:[56.7, 58.3] 40.6 CI:[39.8, 41.4] 47.0 CI:[46.1, 47.9] 52.8 CI:[51.9, 53.7] 57.0 CI:[56.1, 57.9] 64.0 CI:[63.2, 64.7]
mena 69.8 CI:[67.0, 72.5] 67.2 CI:[64.5, 69.9] 67.3 CI:[64.5, 70.0] 58.7 CI:[55.4, 62.0] 61.9 CI:[59.0, 64.8] 51.8 CI:[48.9, 54.7] 49.5 CI:[45.9, 53.1] 58.2 CI:[55.6, 60.8] 26.6 CI:[23.6, 29.5] 58.2 CI:[54.9, 61.5] 62.8 CI:[59.3, 66.3] 67.0 CI:[64.2, 69.7] 70.4 CI:[67.7, 73.0] 67.5 CI:[64.6, 70.4] 36.3 CI:[33.4, 39.3] 43.7 CI:[40.6, 46.8] 46.0 CI:[42.4, 49.6] 48.5 CI:[45.2, 51.9] 62.2 CI:[59.7, 64.8]
native-american 78.4 CI:[76.8, 79.9] 62.6 CI:[60.9, 64.3] 64.6 CI:[62.9, 66.3] 47.7 CI:[45.6, 49.8] 61.8 CI:[59.9, 63.7] 48.9 CI:[47.0, 50.8] 54.7 CI:[52.7, 56.7] 58.7 CI:[57.0, 60.3] 33.1 CI:[31.3, 35.0] 60.7 CI:[58.9, 62.4] 45.0 CI:[43.1, 47.0] 61.5 CI:[59.8, 63.3] 56.3 CI:[54.6, 58.1] 51.3 CI:[49.4, 53.2] 40.4 CI:[38.6, 42.2] 48.6 CI:[46.7, 50.6] 47.4 CI:[45.3, 49.4] 41.0 CI:[39.0, 42.9] 61.0 CI:[59.3, 62.8]
nhpi 67.2 CI:[64.3, 70.2] 67.6 CI:[64.7, 70.4] 65.4 CI:[62.4, 68.5] 54.7 CI:[51.2, 58.3] 65.6 CI:[62.5, 68.7] 51.8 CI:[48.5, 55.0] 58.0 CI:[54.8, 61.3] 60.5 CI:[57.7, 63.4] 35.0 CI:[31.9, 38.1] 59.8 CI:[56.7, 62.9] 49.9 CI:[46.6, 53.2] 63.7 CI:[60.7, 66.7] 58.0 CI:[54.9, 61.0] 56.0 CI:[52.9, 59.1] 38.7 CI:[35.7, 41.8] 48.2 CI:[44.9, 51.6] 51.8 CI:[48.4, 55.2] 46.1 CI:[42.7, 49.5] 60.3 CI:[57.2, 63.4]
white 68.4 CI:[67.5, 69.3] 66.0 CI:[65.1, 66.9] 66.3 CI:[65.4, 67.2] 50.3 CI:[49.1, 51.4] 66.2 CI:[65.2, 67.1] 55.3 CI:[54.2, 56.4] 59.3 CI:[58.2, 60.4] 60.7 CI:[59.8, 61.6] 31.1 CI:[30.0, 32.2] 68.0 CI:[67.1, 68.9] 44.5 CI:[43.4, 45.6] 64.7 CI:[63.8, 65.6] 60.1 CI:[59.1, 61.0] 55.9 CI:[54.9, 56.9] 36.5 CI:[35.5, 37.4] 51.5 CI:[50.3, 52.6] 52.6 CI:[51.4, 53.7] 42.7 CI:[41.7, 43.8] 71.9 CI:[71.1, 72.7]

NOTE: I could make this more legible using an HTML insert, s.t. the mean score is displayed, and upon hovering, the confidence interval appears.

Questions on Various Issues

Sexism & homophobia:

text

Government Support

American Attitudes

Greatest Issue Facing America

A free response question asking respondents “What do you consider to be the most important moral issues facing the nation?” was filtered down to only Latino respondents.

NOTE: I’m not sure what the best way to analyze this is! Presently, I’ve just counted and categorized which words appear most frequently, but something more advanced is probably preferred.

          feature frequency rank docfreq group
1          racism       379    1     379   all
2     immigration       231    2     231   all
3        abortion       231    2     230   all
4         racismo       129    4     129   all
5          rights       126    5     124   all
6       inflation       125    6     125   all
7          people       123    7     121   all
8         economy       112    8     112   all
9            know       107    9     107   all
10 discrimination       104   10     104   all
11         racial       100   11     100   all
12        respect        97   12      97   all
13     inequality        95   13      95   all
14       equality        85   14      85   all
15          trump        83   15      83   all
16           lack        81   16      81   all
17           race        69   17      69   all
18         social        64   18      64   all
19           sure        62   19      62   all
20     corruption        60   20      60   all
21         issues        59   21      59   all
22         aborto        59   21      59   all
23        justice        57   23      57   all
24          moral        56   24      56   all
25          human        56   24      56   all
26        respeto        54   26      54   all
27      president        53   27      53   all
28 discriminación        52   28      52   all
29          issue        50   29      50   all
30        poverty        48   30      48   all
31          don’t        47   31      47   all
32    desigualdad        46   32      46   all
33            war        44   33      44   all
34       religion        43   34      43   all
35       violence        42   35      42   all
36     healthcare        42   35      42   all
37          crime        40   37      40   all
38        honesty        39   38      39   all
39      democracy        37   39      37   all
40       economic        37   39      37   all
41           none        36   41      36   all
42   homelessness        36   41      36   all
43      education        36   41      36   all
44            gun        35   44      34   all
45    deportation        35   44      35   all
46     government        35   44      35   all
47           jobs        33   47      32   all
48       derechos        32   48      32   all
49         wealth        32   48      32   all
50          money        32   48      32   all
Dictionary object with 8 key entries.
- [Racism]:
  - racism, racismo, discrimina*, racial
- [Immigration]:
  - immigration, immigrant, border, migrat*, deport*
- [Economy]:
  - econom*, inflation, cost
- [Employment]:
  - jobs, wages
- [Abortion]:
  - abortion, aborto
- [Rights]:
  - rights, derechos, equality, inequality
[ reached max_nkey ... 2 more keys ]
# A tibble: 8 × 2
  issue       count
  <chr>       <dbl>
1 Racism        784
2 Economy       372
3 Rights        338
4 Immigration   318
5 Abortion      290
6 Employment     42
7 Healthcare     42
8 Housing        18
Black Americans’ Opinions

Bivariate Analysis

y: 2024 vote choice, party ID, support for Black-Latino coalition politics, support for policies that address racial inequality and multi-racial democracy

x: anti-Blackness, colorism, Latino identity, racial solidarity

controls: age, gender, education, income, nativity, national origin, regionf