Table 1.
Characteristics of a nationally representative sample of Asian adults in the United States, overall and by geographic heritage groups
| Race/ethnicity | Geographic heritage groups | ||||
|---|---|---|---|---|---|
|
Whitesa (N = 902) |
All Asiansb (N = 500) |
East Asianc (N = 232) |
South Asiand (N = 156) |
Southeast Asiane (N = 87) |
|
| Percentage of respondentsf | |||||
| Genderg | |||||
| Male | 48 | 50 (P = .645) | 43 (P = .326) | 63 (P = .015) | 43 (P = .481) |
| Female | 52 | 50 (P = .645) | 57 (P = .326) | 37 (P = .015) | 57 (P = .481) |
| Age (y) | |||||
| 18‐29 | 18 | 24 (P = .070) | 24 (P = .129) | 18 (P = .943) | 28 (P = .092) |
| 30‐49 | 30 | 39 k (P = .016) | 30 (P = .903) | 57 k (P < .001) | 24 (P = .351) |
| 50‐64 | 29 | 22 (P = .046) | 24 (P = .266) | 21 (P = .111) | 25 (P = .474) |
| 65+ | 23 | 15 (P = .008) | 22 (P = .760) | 3 k (P < .001) | 23 (P = .980) |
| Education | |||||
| No college degreeh | 66 | 46 k (P < .001) | 54 (P = .013) | 20 k (P < .001) | 64 (P = .836) |
| College degree or more | 34 | 54 k (P < .001) | 46 (P = .015) | 80 k (P < .001) | 36 (P = .799) |
| Household income | |||||
| <$25 000 | 23 | 24 (P = .636) | 30 (P = .138) | 15 (P = .076) | 24 (P = .878) |
| $25 000‐<$50 000 | 22 | 13 (P = .004) | 14 (P = .032) | 8 k (P < .001) | 16 (P = .306) |
| $50 000‐<$75 000 | 11 | 12 (P = .797) | 12 (P = .779) | 10 (P = .673) | 18 (P = .227) |
| $75 000+ | 35 | 41 (P = .133) | 31 (P = .304) | 62 k (P < .001) | 34 (P = .824) |
| Health insurance current status | |||||
| Uninsured | 9 | 11 (P = .498) | 12 (P = .484) | 6 (P = .247) | 14 (P = .327) |
| Insured, Medicaid primary source | 6 | 5 (P = .918) | 6 (P = .756) | 3 (P = .311) | 5 (P = .791) |
| Insured, non‐Medicaid primary source | 84 | 83 (P = .733) | 81 (P = .483) | 91 (P = .084) | 81 (P = .554) |
| Living in a neighborhood that is predominantly own race/ethnicityi | 67 | 20 k (P < .001) | 26 k (P < .001) | 17 k (P < .001) | 15 k (P < .001) |
| Area of residence | |||||
| Urban | 17 | 23 (P = .069) | 23 (P = .175) | 21 (P = .335) | 24 (P = .255) |
| Suburban | 53 | 66 k (P < .001) | 67 (P = .005) | 74 k (P < .001) | 58 (P = .478) |
| Rural | 25 | 5 k (P < .001) | 3 k (P < .001) | 0.3 k (P < .001) | 14 (P = .048) |
| US region of residencej | |||||
| Northeast | 18 | 20 (P = .492) | 22 (P = .411) | 25 (P = .160) | 12 (P = .191) |
| Midwest | 25 | 10 k (P < .001) | 4 k (P < .001) | 13 (P = .011) | 11 (P = .003) |
| South | 35 | 19 k (P < .001) | 13 k (P < .001) | 25 (P = .037) | 26 (P = .118) |
| West | 18 | 45 k (P < .001) | 53 k (P < .001) | 32 (P = .011) | 49 k (P < .001) |
| Born in the United States | — | 26 | 33 | 13 l (P < .001) | 32 |
Non‐Hispanic white adults aged 18+.
Non‐Hispanic Asian adults aged 18+.
East Asians include adults who report being of Chinese, Japanese, Korean, and Taiwanese heritage.
South Asians include adults who report being of Indian, Bangladeshi, Pakistani, and Sri Lankan heritage.
Southeast Asians include adults who report being of Filipino, Vietnamese, Cambodian, Indonesian, Laotian, and Malaysian heritage.
Percentages may not add up to 100% due to rounding and don't know/refused responses that are included in the total n but not reported in this table.
Gender indicates self‐ or interviewer‐reported gender of respondent.
Includes those with some college experience (including business, technical, or vocational school after high school) but no college degree, as well as those with a high school degree or GED certificate or less.
Question asked as: “People often describe some neighborhoods or areas as predominantly one group or another, such as a predominantly black or white neighborhood. Would you say that the area where you live is predominantly [Asian American OR white], or not?”
Regions defined by US Census Bureau 4‐region definition.
Bivariate comparisons significantly different from whites at α = 0.05 using the Holm‐Bonferroni method to sequentially correct for 108 comparisons between groups and models (shown in bold).
Pairwise comparisons between geographic heritage groups significantly different from each other using the Holm‐Bonferroni method to correct for multiple comparisons between groups (shown in bold).