Table 3.
Typical Twitter handle | |||
---|---|---|---|
Disclosed depression (n= 419 Twitter handles)a |
(n = 20,000 Twitter handles)b |
p | |
Age, years | |||
≤16 | 22% | 16% | <.0001 |
17-19 | 55% | 67% | |
20-24 | 17% | 11% | |
25-29 | 2% | 3% | |
30-39 | 2% | 2% | |
≥40 | 2% | 1% | |
Gender | |||
Male | 24% | 42% | <.0001 |
Female | 77% | 58% | |
Race (U.S. only) | |||
Caucasian | 52% | 64% | <.0001 |
African American | 35% | 24% | |
Hispanic | 13% | 11% | |
Asian | 0% | 1% | |
Income | |||
< $10,000 | 55% | 38% | <.0001 |
$10,000-19,999 | 31% | 43% | |
$20,000-29,999 | 9% | 9% | |
$30,000-39,999 | 3% | 4% | |
$40,000-49,999 | 1% | 3% | |
≥ $50,000 | 1% | 2% | |
Marital status | |||
Single | 86% | 74% | <.0001 |
Married | 14% | 27% | |
Top location | |||
United States | 75% | 95% | <.0001 |
United Kingdom | 9% | 0% | |
Canada | 3% | 5% | |
Other | 13% | 0% | |
Following on Twitter | |||
Miley Cyrus | 28% | 12% | <.0001 |
Justin Bieber | 23% | 6% | <.0001 |
Katy Perry | 22% | 6% | <.0001 |
Excludes 206 tweets that appeared to use the terms casually or in a humorous manner, or referenced depression caused by trivial things
Typical Twitter user demographics are based on a random sample of 20,000 English-language Twitter handles from the U.S. and Canada.