Hugging Face's logo

Datasets:
electricsheepafrica
/
health-workforce-retention

Tasks:
Tabular Classification
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
Tags:
healthcare
health-workforce
burnout
brain-drain
retention
task-shifting
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
Dataset Viewer
Auto-converted to Parquet Duplicate
id
int64
age
int64
sex
string
marital_status
string
children
int64
cadre
string
qualification
string
years_experience
int64
years_at_current_facility
int64
task_shifting
int64
continuing_education_past_year
int64
patients_per_day
int64
hours_per_week
int64
overtime_hours_week
int64
night_shifts_per_month
int64
staffing_adequate
int64
essential_medicines_available
int64
equipment_functional
int64
burnout_score
int64
burnout_level
string
emotional_exhaustion
int64
depersonalisation
int64
personal_accomplishment_low
int64
depression_symptoms
int64
anxiety_symptoms
int64
salary_satisfaction
string
monthly_salary_usd
int64
salary_paid_on_time
int64
housing_provided
int64
career_progression_opportunities
int64
supervision_received
int64
job_satisfaction
string
intention_to_leave
int64
intention_to_migrate
int64
migration_destination
string
reason_to_leave
string
workplace_violence_past_year
int64
needlestick_injury_past_year
int64
covid_infected
int64
ppe_adequate
int64
sick_days_past_year
int64
absenteeism_rate
float64
1
37
F
single
0
nurse_midwife
degree
9
9
1
0
11
59
19
6
0
1
1
90
high
1
1
0
0
0
neutral
651
0
0
1
0
high
1
0
none
career
0
0
0
0
3
0.012
2
33
F
married
0
nurse_midwife
degree
7
0
0
0
38
52
12
1
1
1
1
79
high
1
0
0
0
0
dissatisfied
208
1
0
0
0
low
1
0
none
poor_conditions
0
1
0
1
7
0.027
3
23
M
married
1
nurse_midwife
diploma
14
3
0
0
13
42
2
0
1
0
0
57
moderate
0
0
0
1
0
neutral
198
1
0
0
1
high
0
0
none
none
0
0
0
0
3
0.012
4
26
M
married
3
nurse_midwife
certificate
2
2
1
0
63
43
3
4
0
0
0
59
moderate
0
0
0
1
0
neutral
188
1
0
1
0
low
0
0
none
none
1
0
0
0
1
0.004
5
52
F
divorced_widowed
0
nurse_midwife
certificate
5
1
1
1
49
51
11
2
1
1
0
74
high
1
0
0
1
0
neutral
186
1
0
0
0
moderate
0
0
none
none
0
0
0
1
0
0
6
23
F
single
2
other
certificate
8
4
0
0
66
45
5
2
1
0
1
46
low
0
0
0
1
1
dissatisfied
271
1
0
0
1
moderate
0
0
none
none
0
1
1
1
0
0
7
40
M
married
1
clinical_officer
diploma
12
3
0
1
18
55
15
4
1
1
0
95
high
1
1
0
1
0
dissatisfied
231
1
0
0
0
low
0
0
none
none
0
1
0
0
3
0.012
8
20
F
single
1
clinical_officer
diploma
3
0
0
0
76
75
35
4
0
0
1
67
moderate
1
0
0
1
0
neutral
134
0
1
0
1
high
1
1
uk
low_salary
0
0
0
1
0
0
9
35
F
married
0
nurse_midwife
certificate
2
2
1
0
49
36
0
3
1
0
1
78
high
1
0
0
0
0
dissatisfied
429
1
0
0
0
moderate
1
0
none
low_salary
1
0
0
1
1
0.004
10
42
M
married
0
nurse_midwife
degree
2
2
1
0
81
55
15
3
1
0
1
89
high
1
1
0
0
1
dissatisfied
128
0
1
0
1
low
0
0
none
none
0
0
0
1
13
0.05
11
28
F
married
0
clinical_officer
diploma
6
6
0
0
49
42
2
0
1
1
0
77
high
1
0
0
0
0
dissatisfied
254
1
0
1
1
low
1
0
none
career
0
0
0
0
3
0.012
12
46
F
divorced_widowed
0
other
certificate
24
0
0
0
75
51
11
2
0
1
0
73
high
1
1
0
0
1
dissatisfied
398
1
0
1
0
low
0
1
europe
none
1
0
0
0
1
0.004
13
31
F
married
0
nurse_midwife
diploma
40
1
0
1
49
46
6
8
0
0
1
63
moderate
1
0
1
0
0
dissatisfied
450
1
0
1
1
low
0
0
none
none
1
0
1
0
3
0.012
14
43
M
married
2
nurse_midwife
degree
23
6
1
0
20
32
0
1
0
0
1
73
high
1
1
0
1
1
neutral
214
1
0
0
0
moderate
1
0
none
burnout
1
0
0
1
2
0.008
15
38
F
single
0
nurse_midwife
degree
2
2
0
0
35
67
27
0
0
0
0
73
high
1
1
0
0
1
satisfied
567
1
0
0
1
moderate
0
1
other_africa
none
0
0
0
0
2
0.008
16
20
F
divorced_widowed
4
nurse_midwife
diploma
8
4
0
1
19
54
14
1
1
0
0
60
moderate
1
0
0
0
1
neutral
295
1
0
0
0
high
1
0
none
low_salary
0
0
0
0
6
0.023
17
27
M
single
1
clinical_officer
diploma
4
0
1
0
24
54
14
5
0
0
0
80
high
1
0
0
0
0
dissatisfied
143
1
0
0
1
moderate
1
1
europe
burnout
0
0
1
1
8
0.031
18
36
F
single
2
pharmacist
certificate
7
7
0
0
23
37
0
0
0
1
0
78
high
1
0
0
0
0
dissatisfied
321
1
1
0
0
low
1
0
none
burnout
0
1
0
0
13
0.05
19
41
M
married
0
nurse_midwife
diploma
4
4
0
0
33
52
12
0
0
0
1
89
high
1
0
1
0
0
dissatisfied
149
0
0
0
1
low
1
0
none
insecurity
1
1
0
0
7
0.027
20
53
M
married
0
clinical_officer
degree
12
12
1
0
24
47
7
1
1
1
1
51
moderate
0
0
0
0
0
neutral
566
0
0
0
0
moderate
0
0
none
none
0
0
0
0
3
0.012
21
23
M
married
1
nurse_midwife
diploma
1
1
1
0
29
43
3
13
1
0
1
58
moderate
0
0
0
0
0
satisfied
2,316
1
1
1
0
moderate
0
1
uk
none
0
1
0
1
0
0
22
33
F
married
0
other
certificate
0
0
0
0
17
58
18
7
0
1
1
50
moderate
0
0
0
0
0
neutral
962
0
1
0
0
high
1
1
europe
low_salary
1
1
0
0
0
0
23
45
F
single
0
other
certificate
5
0
0
0
93
50
10
7
1
0
0
82
high
1
0
1
0
0
neutral
250
1
1
1
1
high
1
0
none
career
0
0
0
0
0
0
24
36
F
married
0
other
certificate
0
0
0
0
14
50
10
10
0
0
0
72
high
1
1
0
0
0
dissatisfied
111
1
1
0
1
low
1
0
none
career
0
0
0
0
8
0.031
25
36
M
single
1
nurse_midwife
certificate
7
2
0
1
46
44
4
0
0
0
1
43
low
0
0
0
0
0
neutral
437
0
0
0
0
high
0
0
none
none
0
1
0
0
0
0
26
52
F
single
2
nurse_midwife
diploma
15
0
1
0
97
44
4
0
1
1
1
70
high
1
0
1
0
1
satisfied
1,303
0
0
0
1
moderate
1
0
none
low_salary
0
0
0
0
3
0.012
27
34
M
single
3
other
certificate
5
0
0
1
25
44
4
0
0
0
0
68
moderate
1
0
1
1
0
dissatisfied
954
1
0
0
0
low
1
0
none
low_salary
0
1
0
0
0
0
28
38
F
married
1
other
certificate
18
3
0
0
28
27
0
1
0
0
0
72
high
1
1
0
0
0
satisfied
109
0
0
0
1
low
1
0
none
low_salary
1
0
0
0
4
0.015
29
37
F
married
2
nurse_midwife
certificate
6
2
1
0
93
76
36
1
0
1
0
69
moderate
1
0
0
1
0
neutral
114
1
1
1
0
moderate
0
0
none
none
0
0
0
0
4
0.015
30
37
F
single
0
nurse_midwife
degree
2
2
0
0
13
67
27
2
0
1
0
96
high
1
0
0
0
0
neutral
195
1
1
1
0
low
0
1
usa
none
1
0
0
1
3
0.012
31
35
M
married
1
lab_technician
certificate
11
2
0
0
56
45
5
3
1
0
1
82
high
1
1
0
1
0
dissatisfied
625
1
0
0
1
moderate
1
0
none
burnout
0
0
0
0
4
0.015
32
23
F
single
0
nurse_midwife
certificate
12
3
1
0
16
67
27
12
0
1
1
68
moderate
1
0
0
0
1
dissatisfied
239
1
0
1
1
moderate
0
0
none
none
0
1
0
0
3
0.012
33
35
F
married
3
nurse_midwife
diploma
2
2
0
0
57
68
28
1
1
1
1
82
high
1
1
0
0
0
neutral
391
0
0
0
0
high
0
1
uk
none
0
1
1
1
1
0.004
34
32
M
single
2
nurse_midwife
certificate
35
4
0
0
12
48
8
5
1
0
0
65
moderate
1
0
0
0
1
neutral
505
1
1
1
1
low
0
0
none
none
1
0
0
0
5
0.019
35
48
F
married
0
lab_technician
certificate
7
7
0
0
31
79
39
9
1
1
0
46
low
0
0
0
0
0
dissatisfied
751
1
0
0
0
moderate
0
0
none
none
1
1
0
0
6
0.023
36
40
F
married
0
other
certificate
0
0
0
0
17
38
0
1
1
1
0
71
high
1
1
0
0
0
satisfied
235
1
0
0
0
low
1
1
uk
poor_conditions
1
0
0
0
8
0.031
37
42
M
married
1
other
certificate
7
3
0
1
45
35
0
17
0
1
1
63
moderate
1
0
1
0
1
satisfied
188
1
0
0
0
low
0
0
none
none
0
0
0
0
5
0.019
38
37
F
married
1
nurse_midwife
certificate
2
2
1
1
63
49
9
1
0
0
0
83
high
1
1
0
0
0
dissatisfied
100
1
0
0
1
low
0
0
none
none
0
1
0
1
2
0.008
39
53
F
married
1
pharmacist
certificate
5
2
0
0
146
42
2
4
1
0
1
26
low
0
0
0
0
0
dissatisfied
263
1
0
1
0
low
1
0
none
insecurity
1
0
0
0
1
0.004
40
29
F
single
0
nurse_midwife
diploma
2
2
1
0
13
60
20
1
0
0
1
94
high
1
0
0
0
0
satisfied
910
0
0
1
0
moderate
0
1
europe
none
0
1
1
0
1
0.004
41
31
F
single
1
nurse_midwife
certificate
17
0
1
1
28
65
25
10
0
0
0
91
high
1
0
1
0
0
dissatisfied
603
0
0
0
0
moderate
1
0
none
low_salary
1
0
0
0
3
0.012
42
30
M
married
5
nurse_midwife
diploma
18
3
1
1
12
44
4
1
1
0
0
64
moderate
1
0
1
0
0
dissatisfied
244
1
1
0
0
low
1
0
none
poor_conditions
1
0
0
0
4
0.015
43
43
F
married
5
nurse_midwife
certificate
16
2
0
0
76
63
23
2
1
0
1
72
high
1
1
0
0
0
dissatisfied
138
0
0
0
0
low
0
0
none
none
0
0
0
0
2
0.008
44
39
F
married
2
nurse_midwife
certificate
12
0
1
0
58
47
7
4
1
0
1
90
high
1
1
0
0
0
dissatisfied
231
1
0
1
1
moderate
1
0
none
career
1
0
0
0
7
0.027
45
24
F
married
1
nurse_midwife
diploma
1
1
0
0
10
50
10
4
1
1
1
68
moderate
1
0
0
0
0
dissatisfied
768
0
0
0
1
high
0
0
none
none
0
0
0
0
1
0.004
46
26
F
single
2
nurse_midwife
diploma
2
2
0
0
77
56
16
1
1
1
0
69
moderate
1
0
0
0
1
neutral
197
1
0
1
0
low
1
0
none
other
0
0
0
1
2
0.008
47
38
F
single
0
doctor
mbbs
6
0
0
0
15
41
1
3
0
1
1
60
moderate
1
0
0
0
0
dissatisfied
398
0
0
0
0
moderate
0
0
none
none
1
0
0
1
2
0.008
48
39
F
divorced_widowed
4
nurse_midwife
certificate
2
0
0
0
17
28
0
0
1
1
0
76
high
1
1
0
0
0
neutral
142
0
0
0
0
high
0
0
none
none
0
0
0
0
5
0.019
49
39
F
married
0
nurse_midwife
diploma
24
4
1
0
44
65
25
4
0
0
1
90
high
1
0
0
0
0
neutral
227
1
0
1
0
low
1
0
none
burnout
0
0
0
0
2
0.008
50
43
F
single
0
nurse_midwife
diploma
2
2
1
0
38
52
12
5
0
1
0
82
high
1
0
0
0
1
dissatisfied
1,311
1
1
1
0
low
0
0
none
none
0
0
0
0
0
0
51
33
F
married
1
nurse_midwife
degree
17
2
1
1
23
62
22
1
1
0
1
76
high
1
0
0
0
0
dissatisfied
504
1
0
0
1
moderate
1
0
none
low_salary
1
0
0
1
3
0.012
52
28
M
single
1
nurse_midwife
diploma
10
5
0
1
25
70
30
3
0
1
0
73
high
1
0
1
0
0
satisfied
217
1
0
0
0
moderate
0
0
none
none
0
0
0
0
4
0.015
53
24
F
married
0
nurse_midwife
degree
5
3
0
0
14
62
22
0
1
1
0
47
low
0
0
0
1
0
neutral
487
1
0
0
0
moderate
0
1
europe
none
0
0
0
0
2
0.008
54
37
M
married
3
other
certificate
12
7
0
0
44
59
19
2
1
0
1
87
high
1
0
0
0
0
neutral
250
1
0
0
0
moderate
0
0
none
none
0
1
0
0
2
0.008
55
20
F
single
0
nurse_midwife
certificate
4
0
1
1
42
47
7
6
1
0
0
48
low
0
0
0
1
0
dissatisfied
106
1
0
0
1
moderate
0
0
none
none
0
0
0
1
4
0.015
56
47
M
married
0
lab_technician
certificate
0
0
0
0
20
52
12
20
0
1
0
67
moderate
1
0
1
1
1
dissatisfied
330
1
0
0
1
low
1
0
none
other
1
0
0
0
18
0.069
57
39
M
single
0
clinical_officer
diploma
1
1
0
1
42
26
0
2
1
1
0
49
low
0
0
0
0
1
neutral
281
0
0
0
0
moderate
0
0
none
none
0
0
0
0
4
0.015
58
31
M
single
1
nurse_midwife
diploma
10
0
1
0
24
37
0
0
0
0
1
77
high
1
1
1
1
0
satisfied
184
1
0
0
0
moderate
1
0
none
burnout
0
1
1
1
6
0.023
59
36
F
married
0
clinical_officer
diploma
6
3
1
1
17
56
16
0
0
0
1
89
high
1
0
0
0
1
neutral
271
1
0
0
1
moderate
0
0
none
none
0
0
0
1
0
0
60
49
M
married
0
nurse_midwife
degree
6
5
1
0
41
32
0
0
0
1
0
94
high
1
1
1
1
0
neutral
238
1
0
0
0
moderate
0
0
none
none
0
0
0
1
0
0
61
23
M
married
3
nurse_midwife
degree
4
4
0
0
68
53
13
2
1
1
0
74
high
1
0
1
1
1
neutral
217
1
0
1
0
moderate
1
0
none
low_salary
1
0
0
0
5
0.019
62
34
F
married
4
pharmacist
certificate
10
9
0
0
28
59
19
3
0
1
0
88
high
1
1
0
1
0
dissatisfied
671
0
1
0
0
high
1
0
none
burnout
0
0
0
0
2
0.008
63
39
F
married
0
nurse_midwife
certificate
8
4
1
0
12
78
38
4
0
0
1
88
high
1
1
0
0
1
dissatisfied
221
1
0
1
0
low
1
0
none
low_salary
0
1
0
0
0
0
64
37
F
single
2
nurse_midwife
certificate
6
0
0
1
15
29
0
2
1
1
0
60
moderate
1
0
1
0
1
dissatisfied
134
1
0
0
0
high
0
0
none
none
0
1
0
0
1
0.004
65
41
M
married
0
nurse_midwife
certificate
2
2
1
0
79
47
7
0
1
0
0
58
moderate
0
0
0
1
0
dissatisfied
624
1
1
0
1
low
0
0
none
none
0
0
0
0
9
0.035
66
25
M
single
0
other
certificate
1
1
0
1
16
68
28
0
1
0
0
61
moderate
1
0
1
0
0
dissatisfied
406
1
1
0
1
high
0
0
none
none
0
0
0
0
1
0.004
67
37
F
single
4
other
certificate
1
1
0
1
18
59
19
0
0
1
0
91
high
1
1
0
1
1
dissatisfied
197
1
0
0
0
moderate
0
0
none
none
0
0
0
0
1
0.004
68
20
M
married
2
nurse_midwife
diploma
0
0
0
1
10
44
4
7
1
0
0
57
moderate
0
0
0
0
0
neutral
551
1
0
0
0
low
1
0
none
burnout
0
0
0
1
1
0.004
69
20
M
single
0
nurse_midwife
diploma
23
4
1
1
12
51
11
14
1
0
1
97
high
1
0
1
1
0
dissatisfied
227
1
1
0
0
low
0
0
none
none
0
0
0
1
3
0.012
70
49
F
divorced_widowed
1
nurse_midwife
diploma
0
0
0
1
36
36
0
1
0
1
0
38
low
0
0
0
1
0
dissatisfied
430
0
0
0
1
low
0
0
none
none
0
0
0
0
0
0
71
20
F
married
0
doctor
mbbs
9
4
0
0
29
53
13
17
0
0
0
60
moderate
1
0
1
0
0
dissatisfied
119
1
1
0
0
low
0
1
middle_east
none
0
0
0
0
0
0
72
35
M
married
3
nurse_midwife
certificate
0
0
0
0
37
38
0
0
0
0
0
89
high
1
0
0
0
0
neutral
555
1
1
0
0
low
1
1
europe
other
0
0
0
0
1
0.004
73
20
M
single
0
nurse_midwife
diploma
3
2
0
0
28
44
4
0
0
0
0
75
high
1
0
0
0
1
dissatisfied
349
0
0
1
0
moderate
1
0
none
low_salary
0
0
0
1
0
0
74
28
F
married
1
other
certificate
1
1
0
1
23
62
22
0
0
0
0
90
high
1
0
1
1
1
dissatisfied
929
1
0
0
0
low
0
0
none
none
1
0
1
0
0
0
75
41
M
married
0
nurse_midwife
diploma
3
3
0
0
13
39
0
20
1
1
0
72
high
1
1
0
0
0
satisfied
330
0
1
0
0
low
0
0
none
none
0
0
0
1
13
0.05
76
48
F
single
4
nurse_midwife
degree
3
0
1
1
13
57
17
2
0
0
0
72
high
1
1
1
0
1
dissatisfied
413
1
0
0
0
low
0
0
none
none
0
0
0
0
5
0.019
77
27
F
married
1
nurse_midwife
certificate
2
2
1
1
36
38
0
5
1
0
0
77
high
1
1
1
0
0
dissatisfied
510
0
0
0
0
low
1
0
none
low_salary
0
0
0
1
0
0
78
26
F
single
2
other
certificate
3
3
0
1
52
57
17
10
1
1
0
60
moderate
1
0
0
0
1
neutral
332
0
1
0
1
low
1
0
none
other
1
0
0
0
1
0.004
79
28
M
single
2
nurse_midwife
diploma
15
0
1
0
14
44
4
5
1
0
0
72
high
1
1
0
1
0
neutral
483
1
1
0
1
moderate
0
0
none
none
1
0
0
0
3
0.012
80
39
F
single
1
nurse_midwife
diploma
0
0
1
0
30
20
0
0
0
0
1
73
high
1
1
0
0
1
satisfied
108
1
0
0
1
low
0
0
none
none
0
0
0
1
15
0.058
81
23
F
single
2
nurse_midwife
diploma
4
0
0
1
25
62
22
3
1
1
1
86
high
1
1
1
0
1
dissatisfied
901
0
0
0
1
low
0
0
none
none
0
0
0
0
0
0
82
42
F
single
1
clinical_officer
diploma
12
1
1
0
40
37
0
0
1
0
1
70
high
1
0
1
0
0
dissatisfied
298
0
0
0
0
low
1
0
none
poor_conditions
0
1
0
1
7
0.027
83
26
F
married
1
nurse_midwife
certificate
7
1
1
1
25
43
3
0
1
1
0
76
high
1
0
1
1
0
satisfied
102
0
0
0
0
high
0
0
none
none
0
0
0
0
2
0.008
84
45
F
single
4
nurse_midwife
degree
2
2
1
0
43
61
21
0
1
0
1
62
moderate
1
0
0
1
1
dissatisfied
114
1
0
0
0
low
0
0
none
none
0
0
0
0
2
0.008
85
25
M
married
1
nurse_midwife
degree
1
1
1
0
33
63
23
13
1
0
1
69
moderate
1
0
0
0
1
satisfied
255
0
0
0
1
low
1
0
none
burnout
0
0
0
0
5
0.019
86
35
F
married
1
lab_technician
certificate
10
5
0
0
49
54
14
0
0
1
1
98
high
1
0
1
0
0
dissatisfied
210
1
0
0
0
moderate
0
1
other_africa
none
0
0
0
1
9
0.035
87
28
M
married
0
nurse_midwife
degree
2
1
1
0
87
35
0
0
1
1
0
33
low
0
0
0
0
0
satisfied
337
0
0
0
0
high
1
1
europe
career
0
1
0
0
7
0.027
88
29
F
married
5
other
certificate
2
1
0
0
17
48
8
0
0
0
0
68
moderate
1
0
1
1
1
dissatisfied
336
1
0
0
0
moderate
1
0
none
burnout
1
0
0
0
19
0.073
89
32
M
single
0
nurse_midwife
certificate
1
1
0
0
19
43
3
1
1
0
0
57
moderate
0
0
0
0
0
satisfied
134
1
0
1
0
high
0
0
none
none
0
0
0
0
1
0.004
90
39
M
married
1
lab_technician
certificate
3
2
0
1
22
52
12
1
1
1
1
96
high
1
1
1
0
1
dissatisfied
815
1
0
1
1
low
0
0
none
none
1
0
0
1
2
0.008
91
53
M
single
1
pharmacist
certificate
5
3
0
1
10
29
0
6
1
1
1
68
moderate
1
0
1
0
0
dissatisfied
308
1
0
0
0
high
1
1
south_africa
other
0
0
0
0
0
0
92
42
F
married
0
other
certificate
3
2
0
1
10
69
29
3
1
1
1
72
high
1
0
0
0
0
dissatisfied
177
1
0
0
0
low
1
0
none
burnout
1
1
0
1
0
0
93
44
F
single
0
pharmacist
certificate
1
0
0
1
15
54
14
10
0
0
1
89
high
1
0
1
0
0
neutral
170
1
1
1
1
low
1
0
none
burnout
0
0
0
1
1
0.004
94
44
M
single
0
nurse_midwife
degree
1
0
0
1
61
32
0
5
1
1
1
50
moderate
0
0
0
1
0
neutral
155
1
0
0
1
low
0
0
none
none
0
0
0
0
1
0.004
95
44
M
single
0
nurse_midwife
certificate
1
1
0
0
11
62
22
4
1
1
0
76
high
1
1
0
1
0
neutral
277
0
0
1
1
high
0
1
europe
none
0
0
0
1
1
0.004
96
24
M
married
1
doctor
mbbs
13
13
0
0
15
52
12
1
1
1
0
69
moderate
1
0
1
1
0
neutral
227
0
0
0
1
low
1
1
middle_east
career
0
0
0
0
0
0
97
20
M
married
1
nurse_midwife
diploma
11
3
0
0
15
62
22
3
1
1
0
71
high
1
1
0
0
1
dissatisfied
248
1
0
1
0
moderate
0
0
none
none
0
0
0
1
5
0.019
98
31
F
married
0
nurse_midwife
diploma
19
0
0
0
10
30
0
1
0
1
0
79
high
1
0
0
0
0
neutral
300
1
0
1
0
high
1
0
none
poor_conditions
0
1
0
0
4
0.015
99
32
F
married
0
nurse_midwife
degree
11
9
0
0
12
43
3
3
1
1
0
68
moderate
1
0
1
1
0
dissatisfied
464
0
0
0
0
low
0
1
uk
none
0
0
0
0
0
0
100
37
F
single
0
nurse_midwife
degree
8
1
1
0
72
40
0
2
1
1
0
61
moderate
1
0
0
0
0
dissatisfied
289
0
0
0
0
low
0
0
none
none
0
0
0
1
11
0.042
End of preview. Expand in Data Studio

Healthcare Worker Workforce & Retention Dataset

Abstract

This dataset provides 30,000 simulated healthcare worker records (10,000 per scenario) from sub-Saharan Africa. Each record contains 45+ variables including cadre, workload, burnout, salary, migration intentions, and workplace safety. Three settings: urban tertiary (22% high burnout), district hospital (59%), and rural health centre (83%).

1. Introduction

SSA faces a critical healthcare worker shortage that could be 93% larger than current estimates when accounting for disease burden (McKinsey 2024). Brain drain, low salaries, burnout, and poor working conditions drive attrition. Task shifting is widespread but insufficient. WHO's Health Workforce Support and Safeguards List highlights the severity.

This dataset is entirely simulated. It must not be used for workforce planning decisions.

2. Methodology

2.1 Parameterization

Parameter Value Source
HCW shortage scale 93% larger McKinsey 2024
Brain drain Major issue ScienceDirect 2025
Task shifting Widespread PMC 2025
Salary dissatisfaction ~55% WHO AFRO
Vacancy rate rural ~60% BMJ GH 2022

2.2 Scenario Design

Scenario Doctor Ratio Vacancy Burnout High Migration
Urban tertiary 15% 25% 22% 24%
District hospital 5% 41% 59% 16%
Rural HC 1% 61% 83% 8%

3. Schema

Column Type Description
id int Unique identifier
age int Worker age
sex categorical M / F
cadre categorical doctor / nurse / clinical_officer / lab_tech / pharmacist / chw
burnout_score int Burnout score (0-100)
burnout_level categorical low / moderate / high
intention_to_leave binary Plans to leave
intention_to_migrate binary Plans to migrate abroad
migration_destination categorical UK / USA / Middle East / SA / Europe
salary_satisfaction categorical satisfied / neutral / dissatisfied
vacancy_rate derived Staffing adequacy
task_shifting binary Performing shifted tasks

4. Validation

Validation Report

Key validation checks:

  • Burnout gradient: 22% → 59% → 83% ✓
  • Vacancy gradient: 25% → 41% → 61% ✓
  • Salary dissatisfied: ~55% ✓
  • Migration higher in urban (doctors) ✓
  • Low salary = #1 reason to leave ✓

5. Usage 

from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/health-workforce-retention", "district_hospital")
df = dataset["train"].to_pandas()

6. Limitations

  • Simulated: Not from real HR records.
  • No facility-level data: No bed counts or catchment.
  • Simplified: No detailed training pipeline.
  • Cross-sectional: No longitudinal tracking.

7. References

  1. McKinsey (2024). SSA healthcare worker shortage.
  2. ScienceDirect (2025). HCW migration mitigation Africa.
  3. PMC (2025). Skilled HCW shortage and surplus.
  4. BMJ GH (2022). Projected HWF requirements 2023-2030.
  5. PMC (2025). HWF shortage addressing health needs.

Citation 

@dataset{esa_hcw_workforce_2025,
  title={Healthcare Worker Workforce and Retention Dataset},
  author={Electric Sheep Africa},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/electricsheepafrica/health-workforce-retention}
}

License

CC-BY-4.0
Downloads last month
39
Number of rows:
30,000
Total file size:
4.72 MB