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Table 1 Sociodemographic characteristics of the IDI study participants (n = 58)

From: Institutional-level drivers of gender-inequitable scientific career progression in sub-Saharan Africa

Gender

Other characteristics

Total (n = 58)

MSc (n = 14)

PhD (n = 19)

PDF (n = 18)

MCR (n = 7)

Women (n = 32)

 Age range

25–29

9

7

2

–

–

30–34

12

2

9

1

–

35–39

5

–

–

2

3

40–44

4

–

1

2

1

45–49

2

–

–

1

1

Total

32

9

12

6

5

 Marital status

Unmarrieda

16

7

4

3

2

Married

16

2

8

3

3

Total

32

9

12

6

5

 With children < 5 years

Unmarried (16)

4/16

0/7

0/4

2/3

2/2

Married (16)

12/16

2/2

6/8

3/3

1/3

Total (32)

16/32

2/9

6/12

5/6

3/5

 Family educational backgroundb

Highly educated

8

2

2

1

3

Less educated

24

7

10

5

2

Total

32

9

12

6

5

Men (n = 26)

 Age range

25–29

4

3

1

–

–

30–34

8

2

3

3

–

35–39

9

–

3

5

1

40–44

2

–

–

2

–

45–49

3

–

–

2

1

Total

26

5

7

12

2

 Marital status

Unmarrieda

11

5

4

1

1

Married

15

–

3

11

1

Total

26

5

7

12

2

 With children < 5 years

Unmarried (11)

0/11

0/5

0/4

0/1

0/1

Married (15)

11/15

0

1/3

10/11

0/1

Total (26)

11/26

0/5

1/7

10/12

0/2

 Family educational backgroundb

Highly educated

4

1

1

2

0

Less educated

22

4

6

10

2

Total

26

5

7

12

2

  1. aThe label “unmarried” includes those who identified themselves as single (never married), divorced, or separated. We grouped them together in order to protect participants’ anonymity and confidentiality, particularly for the latter two identities
  2. bWe based this on the parents’ and siblings’ level of education, with those who had attended university considered as highly educated