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Wiki source code of But White women are whores

Version 95.1 by Ryan C on 2025/06/25 17:02
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1 = The latest studies and statistics on interracial relationships =
2
3 {{toc}}
4
5 Focusing on:
6 - Online dating and hookups
7 - Marriage
8 - Cohabitation
9 - Birth data and trends
10 - Relationship outcomes
11 From 2014 to 2024
12
13 [[image:GeEgU8MWcAAEOuh.jpg||width="350px"]]
14
15 == The earliest data from OkCupid ==
16
17 White women are the most racially exclusive.
18 Despite liberals outnumbering cons over 2 to 1, and their preference taboo.
19 Exclusivity increased in 2014, despite an altered matching algorithm.
20 Asian women desired Black men more than White women.
21
22 [[image:GeEhikVWQAAOdYf.png||width="350px"]] [[image:GeEhje9WoAAabKy.png||width="350px"]]
23
24 [Source](https://www.psychologytoday.com/sg/blog/pop-psych/201401/what-does-online-dating-tell-us-about-racial-views)
25
26 == OkCupid Matching Scores ==
27
28 'QuickMatch score' predicts compatibility based on profile information, rather than visual attraction.
29 'Let's Meet score' predicts the willingness to engage in real-world meeting based on visual attraction (rating).
30 [More info](http://shorturl.at/2zNvc)
31
32 [[image:GeEhkDXXwAApqKF.png||width="350px"]] [[image:GeEhkr4WIAAufIw.png||width="350px"]] [[image:GeEhrA8WwAAkrdD.jpg||width="350px"]]
33
34 == European Online Dating Study (2015) ==
35
36 Individuals uniformly prefer to date same-race partners, and there is a hierarchy of preferences among natives and minorities.
37 Non-Arabic minority daters have strong preferences for Europeans.
38
39 [[image:GeEhyWlXsAAn9Zd.png||width="300px"]] [[image:GeEhy53WIAAJON_.png||width="300px"]] [[image:GeEhzYlXAAAOZsc.png||width="300px"]]
40
41 == Crossracial Differences in Preferences (2016) ==
42
43 African-Americans are the least desired dating partners.
44 The percentage of European-Americans willing to date African-Americans is significantly lower than the percentage willing to date Hispanic and Asian-Americans.
45
46 [[image:GeEh5f_XkAATVCz.png||width="350px"]] [[image:GeEh6BIWkAAbeMZ.png||width="350px"]]
47
48 == Assortative Mating and Online Dating (2017, Germany) ==
49
50 Online dating reduces endogamy compared to other forms of meeting partners, but mainly educational and religious endogamy.
51 Racial endogamy is twice as prevalent as the former two.
52
53 [[image:GeEiBViWcAAO_h1.png||width="350px"]] [[image:GeEiCdyXAAAB3Bk.png||width="350px"]]
54
55 == Tinder Usage and Interracial Dating (2020, Netherlands) ==
56
57 Using 24 fake Tinder profiles featuring White and non-White people (minorities in the Netherlands: Turkish, Moroccan, etc).
58 12 White, 12 non-White.
59 All respondents found White-looking profiles more attractive.
60
61 [[image:GeEiZQAXAAAitYl.jpg||width="350px"]] [[image:GeEigtRWAAAmzee.png||width="350px"]]
62
63 Study limitations: Asking respondents to indicate ethnic similarity could have primed them to the purpose of the study, and led to increased social desirability in their answers.
64 Conclusion: All respondents ranked Caucasian-looking Tinder users as more attractive and dateable.
65
66 == Modeling Dating Decisions (2021) ==
67
68 "Attractiveness and race were nearly double the influence of other things...
69 While attractiveness played a major role in the participants' decisions to swipe left or right, race was a leading factor."
70
71 [[image:GeEingJWUAAhkg4.png||width="350px"]] [[image:GeEioFUXkAAA8dW.png||width="350px"]]
72
73 Conclusion:
74 "When the targets were Black, Asian, or Hispanic, they were less likely to be swiped right on. Among the largest effect sizes was a lower likelihood of swiping right if the target was Black.
75 Negative stereotypes may impact their [perceived] attractiveness."
76
77 [[image:GeEix-BWgAApy7S.png||width="350px"]] [[image:GeEiyiFXcAAUYG6.png||width="350px"]]
78
79 == Assortative Online Dating (2022, Netherlands) ==
80
81 Respondents with a Dutch ancestry were more likely to select a White person.
82 Both Dutch and non-Dutch ancestry preferred White targets.
83 Race was the most important factor in partner choice.
84
85 [[image:GeEi554WwAAO7bQ.jpg||width="350px"]] [[image:GeEi6a0XkAAOvGR.png||width="350px"]]
86
87 A dating app experiment with 500 young adults:
88 Visual cues to race determine selection, while related cultural signaling appears irrelevant.
89
90 [[image:GeEi_7qWIAA4P-h.png||width="350px"]] [[image:GeEjAaZWwAAmGAu.png||width="350px"]]
91
92 == Romance & Racism (2022) ==
93
94 White women particularly had strong same-race preferences.
95 Latinas liked White men over Black and Asian, but not Latinos.
96 Asian women preferred Asian over Black, but not White men.
97 Black women did not show a preference for any race.
98
99 [[image:GeEjHvkWIAA-L3h.png||width="300px"]] [[image:GeEjINRW4AAEnMq.png||width="300px"]] [[image:GeEjIuuXAAELMhS.png||width="300px"]]
100
101 White women and Latinas were more willing to date White men than Asian and Black men.
102 Asian and Black men were equally disliked.
103 Asian women preferred White and Asian men. (They were more willing to date Black men than White women were.)
104 Black women had no racial preference.
105
106 [[image:GeEjRC0XoAAhawH.png||width="350px"]] [[image:GeEjRm1XgAAfuwa.png||width="350px"]]
107
108 == Tinder and Russian Generation Z (2022) ==
109
110 Dateability is heavily influenced by racial preferences.
111 Almost everyone stated that they would never swipe right on someone of a different race.
112
113 [[image:GeEjdqXWMAAjI8u.png||width="350px"]] [[image:GeEjeUAWQAAptFT.png||width="350px"]]
114
115 Theorized cause: "Sexual racism" from Russian media.
116 Russian children don't see Black people growing up, so they absorb pictures of Blacks from Russian pop culture. This shows them with low social capital, thus zoomers hesitate.
117
118 [[image:GeEjmlVWcAATC56.png||width="250px"]] [[image:GeEjnf6WUAAw71T.png||width="250px"]] [[image:GeEjn-tXkAAJZDf.png||width="250px"]] [[image:GeEjoZeXoAAhaRk.jpg||width="250px"]]
119
120 == Racial Preferences in Dating Apps (2023, Aldana et al) ==
121
122 In a mock tinder app with 2,513 participants:
123 All of the female participants who initiated a conversation in the heterosexual condition with the Black male profile were trans women, according to their bios.
124
125 [[image:GeEjydPWgAAKbP-.jpg||width="250px"]] [[image:GeEjzCfWMAA66c0.jpg||width="250px"]] [[image:GeEjzi5WkAALq4c.jpg||width="250px"]] [[image:GeEj0BgXYAAsBef.jpg||width="250px"]]
126
127 Thousands of people saw these profiles.
128 White profiles had more likes in every situation.
129 Conclusion: Homogamous preferences, and rooted problems like sexual racism, can lead users to maintain a racialized sexual hierarchy that privileges Whiteness.
130
131 [[image:GeEkIE6W0AAi6qS.jpg||width="350px"]]
132
133 == Match's Singles in America (2023) ==
134
135 Gen Z Less Likely To Date Outside of Their Race Than Millennials.
136 While Gen Z might be known for their progressive politics, they might not be as progressive when it comes to dating compared with their Millenial elders.
137
138 [[image:GeEkfFQWIAAgOaK.jpg||width="350px"]] [[image:GeEkfnEXUAAajhI.jpg||width="350px"]]
139
140 == Annual Review of Sociology (2024) ==
141
142 It was speculated that Asian men face more discrimination from White women than Black men do.
143 Yet, Black and Asian men outmarry at similar rates.
144 White women discriminate against Black and Asian men equally.
145
146 [[image:GeEkrbsWkAEGDEd.png||width="350px"]]
147
148 Therefore, White men's marriage patterns with Black women are the anomaly, and must be due to anti-Black discrimination.
149 White men's anti-Black discrimination may be a more important explanation for observed intermarriage patterns.
150
151 [[image:GeEkyBdWQAAI1ux.png||width="350px"]]
152
153 == Racial Marriage Preferences and Online Dating (2024) ==
154
155 The rise of dating apps hasn't changed racial marriage preferences:
156 "Our results indicated strong racial preferences... The paper found minimal changes in these preferences over the 2008-21 period, in which online dating dominated marriage selection."
157
158 [[image:GeEk5WXXgAA4E6z.jpg||width="350px"]] [[image:GeEk528WQAAC1zc.png||width="350px"]]
159
160 Conclusion:
161 Our findings of minimal changes in preferences over the 2008-21 period is surprising. Given the proliferation of online dating...
162 Because people have increasingly been marrying someone more like themselves, that can account for the increase in household inequality.
163
164 [[image:GeEk9p-WgAAE_f6.png||width="350px"]]
165
166 = Marriage =
167
168 Among currently married women in their 1st marriage in 2016, 10 percent were in an interracial/interethnic marriage.
169 10.3% of women
170 5.1% of married non-Hispanic White women
171 8% of married Black women
172 20.6% of Asian women
173 22.4% of Hispanic or Latino (any race)
174
175 [[image:GeElhTVWUAAgkH8.png||width="350px"]] [[image:GeElh5kWoAAfp4j.png||width="350px"]]
176
177 Why is the number (5.1%) so low here?
178 Research has shown that interracial couples have higher rates of divorce than other couples, so the percentage of currently married interracial couples shown in the table may be lower than the percentage of interracial couples who married.
179
180 [[image:GeEl0I4WYAAOtU5.png||width="350px"]] [[image:GeEl0u4XIAAw68r.png||width="350px"]]
181
182 What are the trends?
183 2000-2016, the total % of interracial married households increased from 7.4% to 10.2%.
184 Of this:
185 White/Hispanic: 35% to 40% respectively.
186 White/Asian: 12.5%-14.4%
187 White/Black couples: 7.1%-8.1%.
188 Note: this is % of IR households, not all households
189
190 [[image:GeEmHEXXkAEuRGK.jpg||width="350px"]]
191
192 == Black-White Intermarriage in a Global Perspective (2023) ==
193
194 For the first time, French data includes a proxy for race!
195 White females | White males:
196 Brazil: 5.4% / 4.1%
197 France: 2.0% / 1.4%
198 UK: 0.7% / 0.4%
199 USA: 2.0% / 0.6%
200 SA: 0.5% / 1.0%
201
202 [[image:GeEmn2hXsAA5TMv.png||width="350px"]] [[image:GeEmoQjWEAAe5dp.png||width="350px"]]
203
204 "We use the term intermarriage in a generic manner; in our study we examine both married and cohabiting couples.
205 A feature of black–white intermarriage in the US is an imbalanced sex ratio; such gender imbalances are not found in any other countries."
206 [Full study](https://www.demographic-research.org/volumes/vol49/28/49-28.pdf)
207
208 [[image:GeEm27LWgAA3msM.png||width="350px"]] [[image:GeEm4F-XoAAiybb.png||width="350px"]]
209
210 == Marital Instability Among Interracial Couples ==
211
212 White wife/Black husband marriages show twice the divorce rate of White wife/White husband couples by the 10th year of marriage.
213 The highest divorce rate of any combo, including Black-Black marriages.
214
215 [[image:GeEpG5MWUAAPMBw.png||width="250px"]] [[image:GeEpbHcXYAEvFz6.png||width="250px"]] [[image:GeEpcyAXAAADxAL.jpg||width="250px"]]
216
217 From a later study "Marital Dissolution...":
218 Black husband-White wife marriages are 185% more likely to end in divorce.
219 White Husband-Black wife, 158%
220 Hispanic Husband-White wife, 133%
221 White Husband-Hispanic wife, 111%
222 Both gender combinations with Asians had lower divorce rates
223
224 [[image:GeEp8eSWQAAPIhS.png||width="350px"]] [[image:GeEp9BBXIAIMpmK.png||width="350px"]]
225
226 = Cohabitation =
227
228 8% of White adults cohabit, 57% are married.
229 Whites are the least likely to cohabit interracially, at 12%.
230 Of cohabiting households in 2007-2011, 2.7% were Black-White.
231 In 2017-2021, this share increased to 2.8%.
232 A 0.1% increase in the last decade.
233
234 [[image:GeEqJ0sXgAAEK28.png||width="250px"]] [[image:GeEqKTGW0AAcgV4.png||width="250px"]] [[image:GeEqKu7XsAAhgue.png||width="250px"]] [[image:GeEqLMnWEAAuKb5.png||width="250px"]]
235
236 White men and women have the same cohabitation rates: 7.9% each.
237 Cohabitation rates have plateaued over the past decade.
238 Only 26% of non-Hispanic White women remain in their cohabitant union for at least 3 years before separation. 8% survive 5 years.
239
240 [[image:GeEqSZkXcAAP9GH.png||width="250px"]] [[image:GeEqS3YXgAAvhXt.png||width="250px"]] [[image:GeEqTUpWoAAnSJn.png||width="250px"]] [[image:GeEqTzZWEAAsfGK.png||width="250px"]]
241
242 = IR Birth Data =
243
244 From the latest CDC Natality Statistics:
245 For White mother births in 2023 (Excluding unknown):
246 87.6% of fathers are non-Hispanic White
247 5.6% are Hispanic-White
248 3.5% are Black (Hisp and non)
249 2.1% are 2 or more races (H&N)
250 1.2% are Asian (H&N)
251
252 [[image:GeEqgXTXwAAwJwc.png||width="350px"]]
253
254 For White father births in 2023 (Excluding unknown):
255 88% of mothers are non-Hispanic White
256 6.2% are Hispanic-White
257 2% are Asian (Hisp and non)
258 2% are 2 or more races (H&N)
259 1.25% are Black (H&N)
260
261 [[image:GeEqqsCWkAAApq-.png||width="350px"]]
262
263 Broken down by single moms and dads (Excl Unknown):
264 White single mothers, by race of dad:
265 Black: 62%
266 2 or more races: 46%
267 Hispanic-White: 43%
268 Asian: 27.3%
269 Non-Hispanic White: 23%
270 For White single fathers:
271 Black: 42%
272 Hispanic-White: 39%
273 Asian: 27%
274 Non-Hispanic White: 23%
275
276 [[image:GeEsXgBXUAAeyHw.png||width="350px"]] [[image:GeEsY1kWUAAeXau.png||width="350px"]]
277
278 == Birthrate Trends (2016-2023) ==
279
280 Like in all previous years, the overall number of IR births is down since 2016.
281 The increases in percentage (0.1% every 3 years for BM-WW births) isn't due to an increase in their number—rather White-White births have simply declined overall.
282
283 [[image:GeEsg7WW4AAN6iJ.jpg||width="350px"]] [[image:GeEshc2XQAAWUsg.png||width="350px"]]
284
285 Key points from the CDC data:
286 IR couples with non-Whites have higher rates of single parenthood in every case, especially with Black partners.
287 The birth rate between White women and Asian men is equivalent to White women and Black men, when controlling for population size.
288
289 [[image:GeEtBKrXsAA4blT.png||width="350px"]]
290
291 Note: the CDC data does not include "Unknown or unstated," thus there's a gap in the data.
292 I'll also be adding relevant racial preference data to this thread for easy reference moving forward.
293
294 == Positioning Multiraciality in Cyberspace (2015) ==
295
296 A 2015 study wanted to find out where multiracial individuals are positioned in the "racial hierarchies of the dating market."
297 For White women:
298 White > Asian-White > Hispanic-White > Black-White > Hispanic > Asian > Black
299
300 [[image:Gee_-pHXUAAjjMJ.png||width="250px"]] [[image:Gee__TCXYAEza7Q.png||width="250px"]] [[image:GefADjfWwAA5pnN.png||width="250px"]]
301
302 For Asian women: Asian-White > White > Asian
303 For Asian men: Asian-White > Asian > White
304 For Hispanic women: Hispanic-White > White > Hispanic
305 For Hispanic men: Hispanic > White > Hispanic-White
306 For Black women: White men > Black-White > Black
307 For Black men: Black-White > White > Black
308
309 [[image:GefBKNFXkAAHNcu.jpg||width="250px"]] [[image:GefBK9jXMAA_hOO.jpg||width="250px"]] [[image:GefBLoJWkAAelJW.png||width="250px"]]
310
311 ---
312
313 doubt.
314
315 === See Also ===
316
317 Boochi's Breakdowns