Table 2.
Demographic characteristics of abuse/assault and early life experience samples among unique Twitter users.
Characteristic | US census, %a | Twitter overall, %b | Abuse/assault sample (N=1168), %b,c | Early experience sample (N=612), %b,c | |
Sex |
|
||||
|
Male | 49.2 | 45.8 | 10.6 | 9.2 |
|
Female | 50.8 | 54.2 | 89.4 | 90.8 |
Age (years) |
|
||||
|
≤19 | 25.4 | 25.02 | 15.2 | 13.1 |
|
20-24 | 6.70 | 45.33 | 25.5 | 24.1 |
|
25-29 | 7.10 | 16.10 | 20 | 20 |
|
30-34 | 6.70 | 7.16 | 17.8 | 22 |
|
35-39 | 6.60 | 2.40 | 8.1 | 7.3 |
|
40-49 | 12.5 | 3.25 | 9.7 | 9 |
|
50-59 | 13.3 | 0.49 | 2.6 | 3.7 |
|
≥60 | 21.7 | 0.25 | 1 | 0.8 |
Race/ethnicity |
|
||||
|
White/Caucasian | 60.7 | 78.7 | 90.7 | 89.8 |
|
Hispanic | 18.1 | 7.6 | 6.2 | 6.1 |
|
African American | 13.4 | 13.1 | 2.6 | 3.3 |
|
Asian | 5.8 | 0.6 | 0.4 | 0.8 |
|
Native American/Pacific Islander | 1.5 | —d | — | — |
aAge distribution based on 2017 American Community Survey 1-Year Estimates (July 1, 2017).
bProportions provided by Demographics Pro on October 18, 2018.
cBased on our classification in the analytical sample of geotagged novel English language tweets in the United States.
dNot available.