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 |