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Table 1 Descriptive statistics of LinkedIn data by gender and further disaggregated categories. Note: Number of countries includes those after the application of the observation filter with audience counts of fewer than 1000 removed

From: Analysing global professional gender gaps using LinkedIn advertising data

Category Audience counts (in millions) Number of countries with sufficient data
Total Women Men
Gender 460.18 196.06 264.12 234
Age group     
 18–24 43.61 19.61 23.99 187
 25–34 59.60 26.75 32.85 201
 35–54 47.68 19.00 28.68 194
 55+ 14.14 4.53 9.61 133
Company industry     
 Non-STEM 273.71 122.50 151.21 190
 STEM 97.22 30.59 66.63 164
Field of study     
 Non-STEM 152.87 73.62 79.25 175
 STEM 70.51 17.98 52.53 147
Job function     
 Non-STEM 226.35 106.55 119.80 203
 STEM 87.53 25.40 62.13 201
Job seniority     
 Chief X Officer (CxO) 8.14 2.01 6.14 137
 Director 20.20 7.15 13.05 177
 Entry-level 124.92 55.49 69.43 218
 Manager 28.00 9.66 18.34 184
 Owner 16.36 5.23 11.13 153
 Partner 2.48 0.69 1.79 87
 Senior 92.01 41.33 50.68 212
 Training 6.14 2.82 3.32 126
 Unpaid 5.03 2.11 2.92 98
 Vice President (VP) 8.52 2.38 6.14 140