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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