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RSE International Survey 2022

Sociodemography

  1. Australia
  2. Canada
  3. Germany
  4. Netherlands
  5. New Zealand
  6. South Africa
  7. United Kingdom
  8. United States
  9. World

Here we asked questions to know the sociodemographic composition of our participants, including the age, the gender and the disability and ethnicity for specific countries.

Questions in this section:

  • Please select your age (one choice)
  • What best describes your gender (one choice)
  • Do you have a condition that is defined as a disability by your country? (yes-no)

Australia

Gender

Gender for Australia Count Percentage
Male 26 83.87
Female 4 12.9
Prefer not to say 1 3.23

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2022-08-22T11:23:04.716909 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/

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Canada

Gender

No data found in survey.

2022-08-22T11:23:04.900518 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/

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Germany

Gender

Gender for Germany Count Percentage
Male 174 84.47
Female 27 13.11
Prefer not to say 4 1.94
Prefer to self describe 1 0.49

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2022-08-22T11:23:05.160143 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/

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Netherlands

Gender

Gender for Netherlands Count Percentage
Male 48 82.76
Female 7 12.07
Prefer not to say 3 5.17

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2022-08-22T11:23:05.414014 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/

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New Zealand

Gender

Gender for New Zealand Count Percentage
Male 20 76.92
Female 4 15.38
Prefer not to say 1 3.85
Prefer to self describe 1 3.85

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2022-08-22T11:23:05.681331 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/

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South Africa

Gender

Gender for South Africa Count Percentage
Female 2 100

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2022-08-22T11:23:05.875261 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/

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United Kingdom

Gender

Gender for United Kingdom Count Percentage
Male 104 71.23
Female 29 19.86
Prefer not to say 9 6.16
Prefer to self describe 4 2.74

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2022-08-22T11:23:06.135814 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/

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Ethnicity

Ethnicity for United Kingdom Count Percentage
White: English / Welsh / Scottish / Northern Irish / British 96 54.55
White: Any other White background 32 18.18
Do not wish to declare 7 3.98
White: Irish 5 2.84
Asian / Asian British: Indian 3 1.7
Mixed / Multiple Ethnic groups: Any other Mixed / Multiple ethnic background, 2 1.14
Asian / Asian British: Chinese 2 1.14
Other Ethnic group: Any other ethnic group 1 0.57
Mixed / Multiple Ethnic groups: White and Asian 1 0.57
Asian / Asian British: Bangladeshi 1 0.57

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2022-08-22T11:23:06.720748 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/

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United States

Gender

Gender for United States Count Percentage
Male 107 78.1
Female 24 17.52
Prefer not to say 4 2.92
Prefer to self describe 2 1.46

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2022-08-22T11:23:07.204252 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/

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Hispanic or Latino

Whether Hispanic or Latino for United States Count Percentage Percentage in 2018 Difference with previous year
Yes 3 2.29 6.4 -4.11
No 128 97.71 93.6 4.11

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2022-08-22T11:23:07.454926 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/

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World

Gender

Gender for World Count Percentage
Male 639 79.48
Female 127 15.8
Prefer not to say 29 3.61
Prefer to self describe 9 1.12

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2022-08-22T11:23:07.750088 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/

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