Sociodemographic characteristics of CONVERGE social vulnerability and disasters training module trainees
| Variable | N (%) |
|---|---|
| Gender identity | |
| Female | 632 (58.0%) |
| Male | 452 (39.0%) |
| Other | 32 (2.9%) |
| Race and ethnicity | |
| White | 565 (51.9%) |
| Black | 109 (10.0%) |
| Asian | 107 (9.8%) |
| Hispanic | 74 (6.8%) |
| Some other race or ethnicity1 | 99 (9.1%) |
| More than one race | 68 (6.2%) |
| Prefer not to answer | 72 (6.6%) |
| Age range | |
| 16–25 | 620 (56.9%) |
| 26–35 | 202 (18.5%) |
| 36–45 | 89 (8.2%) |
| 46–55 | 45 (4.1%) |
| 56–65 | 19 (1.7%) |
| 66+ | 2 (0.2%) |
| No answer | 112 (10.3%) |
| Mean age (standard deviation) | 26.3 (61.7) |
| Geographical location by country | |
| United States and US Territories | 884 (81.2%) |
| Canada | 124 (11.4%) |
| Turkey | 40 (3.7%) |
| Nepal | 6 (0.6%) |
| United Kingdom | 5 (0.5%) |
| India | 4 (0.4%) |
| Mozambique | 4 (0.4%) |
| New Zealand | 3 (0.3%) |
| Australia | 2 (0.2%) |
| Barbados | 2 (0.2%) |
| Chile | 2 (0.2%) |
| Austria | 1 (0.1%) |
| Bangladesh | 1 (0.1%) |
| France | 1 (0.1%) |
| Ireland | 1 (0.1%) |
| Japan | 1 (0.1%) |
| Pakistan | 1 (0.1%) |
| Philippines | 1 (0.1%) |
| Romania | 1 (0.1%) |
| Syria | 1 (0.1%) |
| Highest degree completed | |
| High School/GED | 474 (43.5%) |
| Associate | 140 (12.9%) |
| Bachelor's | 248 (22.8%) |
| Master's | 126 (11.6%) |
| Doctorate | 81 (7.4%) |
| Prefer not to answer | 20 (1.8%) |
| Student status | |
| Yes | 941 (86.4%) |
| No | 148 (13.6%) |
| Researcher category | |
| Core | 116 (10.7%) |
| Emerging | 803 (73.7%) |
| Situational | 80 (7.3%) |
| Periodic | 90 (8.3%) |
| Organizational affiliation | |
| Academic institution | 811 (74.5%) |
| Federal, state, or local government | 105 (9.6%) |
| Other2 | 173 (15.9%) |
| Mean time in hazards and disaster research or practice | 2.18 years |
| Total number of trainees | 1,089 (100%) |
| Variable | |
|---|---|
| Female | 632 (58.0%) |
| Male | 452 (39.0%) |
| Other | 32 (2.9%) |
| White | 565 (51.9%) |
| Black | 109 (10.0%) |
| Asian | 107 (9.8%) |
| Hispanic | 74 (6.8%) |
| Some other race or ethnicity1 | 99 (9.1%) |
| More than one race | 68 (6.2%) |
| Prefer not to answer | 72 (6.6%) |
| 16–25 | 620 (56.9%) |
| 26–35 | 202 (18.5%) |
| 36–45 | 89 (8.2%) |
| 46–55 | 45 (4.1%) |
| 56–65 | 19 (1.7%) |
| 66+ | 2 (0.2%) |
| No answer | 112 (10.3%) |
| 26.3 (61.7) | |
| United States and US Territories | 884 (81.2%) |
| Canada | 124 (11.4%) |
| Turkey | 40 (3.7%) |
| Nepal | 6 (0.6%) |
| United Kingdom | 5 (0.5%) |
| India | 4 (0.4%) |
| Mozambique | 4 (0.4%) |
| New Zealand | 3 (0.3%) |
| Australia | 2 (0.2%) |
| Barbados | 2 (0.2%) |
| Chile | 2 (0.2%) |
| Austria | 1 (0.1%) |
| Bangladesh | 1 (0.1%) |
| France | 1 (0.1%) |
| Ireland | 1 (0.1%) |
| Japan | 1 (0.1%) |
| Pakistan | 1 (0.1%) |
| Philippines | 1 (0.1%) |
| Romania | 1 (0.1%) |
| Syria | 1 (0.1%) |
| High School/GED | 474 (43.5%) |
| Associate | 140 (12.9%) |
| Bachelor's | 248 (22.8%) |
| Master's | 126 (11.6%) |
| Doctorate | 81 (7.4%) |
| Prefer not to answer | 20 (1.8%) |
| Yes | 941 (86.4%) |
| No | 148 (13.6%) |
| Core | 116 (10.7%) |
| Emerging | 803 (73.7%) |
| Situational | 80 (7.3%) |
| Periodic | 90 (8.3%) |
| Academic institution | 811 (74.5%) |
| Federal, state, or local government | 105 (9.6%) |
| Other2 | 173 (15.9%) |
| 2.18 years | |
| Total number of trainees | 1,089 (100%) |
Note(s): 1 “Some Other Race or Ethnicity” consists of respondents who indicated their race or ethnicity as Indigenous, Arab, Native Hawaiian, or prefer to self-describe
2 Due to small sample sizes, respondents who indicated they had an affiliation other than government or academia—including those in the private sector, a nonprofit, or other institution, as well as those who are retired or unemployed—were condensed into “Other”
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