Table 5 Respondent biographical information by response counts and response proportion per category.

From: A global dataset of inland fisheries expert knowledge

Affiliation (n = 464)

Count

Proportion

Fisheries experience (n = 464)

Count

Proportion

Government

126

0.27

<5 years

48

0.10

University

152

0.33

5–10 years

72

0.16

Non-governmental organization

92

0.20

10–15 years

83

0.18

For-profit enterprise

15

0.03

15–20 years

56

0.12

Fisher association

9

0.02

>20 years

205

0.44

Tribal affiliate

2

0.00

Sex (n = 461)

Retired

29

0.06

Male

355

0.77

Other

39

0.08

Female

106

0.23

Education level (n = 465)

Field time (n = 465)

Some college courses

2

0.00

None

21

0.05

Associate’s degree

2

0.00

A little time (<10%)

103

0.22

Bachelor’s degree

60

0.13

Some time (10–50%)

185

0.40

Master’s degree

157

0.34

A lot of time (50–80%)

99

0.21

Doctoral degree

244

0.52

Most of the time (>80%)

57

0.12

Area of expertise (n = 466)

Age (n = 457)*

Fishery management

160

0.34

<25

7

0.02

Research - genetics**

21

0.04

25–34

73

0.16

Research - ecology

144

0.31

35–44

99

0.22

Environmental monitoring

29

0.06

45–54

113

0.25

Aquaculture

31

0.07

55–64

111

0.25

Extension/outreach

10

0.02

65–74

49

0.11

Policy

17

0.04

75+

5

0.01

Fishing

23

0.05

   

Other

31

0.07

   
  1. *mean = 48.4 ± 13.1.
  2. **includes evolutionary biology.