Datasets:
electricsheepafrica
/
africa-synth-mortality-heat-related-illness-all

Dataset card Data Studio Files
xet
 Community
id
int64
age
int64
sex
string
urban
int64
occupation
string
outdoor_worker
int64
has_chronic_condition
int64
elderly
int64
daily_tmax_c
float64
daily_tmin_c
float64
wbgt_c
float64
relative_humidity_pct
int64
heat_index_c
float64
heatwave_day
int64
consecutive_hot_days
int64
nighttime_heat
int64
uhi_effect
int64
ac_access
int64
shade_available
int64
water_accessible
int64
protective_behaviour
int64
diagnosis
string
heat_illness
int64
severity
string
hospitalised
int64
icu_admission
int64
died
int64
work_hours_lost
float64
work_capacity_pct
int64
early_warning_received
int64
health_facility_disrupted
int64
healthcare_accessible
int64
power_outage
int64
month
int64
year
int64
501
19
male
0
factory
1
0
0
36.1
23.1
32.4
60
39.1
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,022
502
32
male
0
unemployed
0
0
0
31.8
25
29.6
35
33.5
0
0
0
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
3
2,020
503
14
male
0
transport
1
0
0
35.8
21.4
29.5
31
37.3
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.4
96
0
0
0
0
3
2,020
504
20
male
0
office_indoor
0
0
0
34.6
22
29.3
63
37.8
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,020
505
39
male
0
office_indoor
0
0
0
32.5
23
30.5
71
36
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,021
506
11
female
1
subsistence_farmer
1
0
0
30.2
20.7
29.7
46
32.5
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,023
507
13
female
0
construction
1
0
0
38.3
24.6
32.5
58
41.2
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0.2
98
0
0
1
0
4
2,019
508
24
male
0
unemployed
0
0
0
34.5
23
29.6
35
36.2
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,020
509
14
female
0
construction
1
0
0
35.9
25.8
28.1
84
40.1
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,022
510
69
male
0
construction
1
0
1
38.5
24
26.6
39
40.5
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.2
98
0
0
0
0
7
2,021
511
41
female
0
market_vendor
1
0
0
35.4
28.2
30
40
37.4
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
11
2,022
512
80
female
1
student
0
0
1
32.3
21.9
29.6
64
35.5
1
9
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,023
513
17
male
0
subsistence_farmer
1
0
0
34.7
20
29.9
68
38.1
0
0
0
0
1
0
0
0
none
0
na
0
0
0
0.7
94
0
0
0
0
11
2,023
514
26
male
0
student
0
0
0
25.4
17.5
33.6
50
27.9
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
4
2,023
515
55
male
0
subsistence_farmer
1
0
0
29.2
21.4
28.1
43
31.3
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,019
516
34
male
0
factory
0
0
0
36.2
28.1
32.3
46
38.5
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,019
517
20
male
0
student
1
0
0
29.6
15.9
29.8
58
32.5
0
0
0
0
0
0
1
0
none
0
na
0
0
0
1.1
91
0
0
1
0
3
2,021
518
36
female
0
domestic_worker
0
1
0
29.7
21.5
21.8
65
33
1
3
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,021
519
44
female
1
subsistence_farmer
1
0
0
31
24.9
28
53
33.6
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
9
2,021
520
44
female
0
subsistence_farmer
1
0
0
31.9
26.2
33.4
63
35
0
0
1
0
0
0
0
0
none
0
na
0
0
0
1.9
84
0
0
1
0
7
2,023
521
42
male
0
domestic_worker
1
0
0
34.2
28
27
33
35.9
0
0
1
0
0
1
1
1
none
0
na
0
0
0
0
100
0
0
0
0
3
2,020
522
51
male
0
student
1
0
0
32.3
24.2
31.8
45
34.5
1
6
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
1
1
0
9
2,022
523
87
male
0
subsistence_farmer
1
0
1
36.1
26.7
29.1
23
37.2
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,022
524
17
female
1
subsistence_farmer
1
1
0
34.6
26.1
34.1
51
37.1
0
0
1
0
0
1
1
1
none
0
na
0
0
0
0.5
96
1
0
1
0
4
2,021
525
51
male
1
construction
1
1
0
32.5
24.4
31.9
71
36
0
0
0
1
0
1
0
0
none
0
na
0
0
0
2.3
81
0
0
1
0
3
2,022
526
95
female
0
unemployed
0
0
1
33
18.1
29.8
69
36.5
0
0
0
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
7
2,020
527
55
male
1
subsistence_farmer
1
1
0
34.3
26
28.8
98
39.2
0
0
1
1
0
1
0
0
none
0
na
0
0
0
0.7
94
0
0
1
0
3
2,019
528
5
male
0
commercial_farmer
1
0
0
35.2
28.2
25.9
59
38.2
0
0
1
0
0
0
0
1
none
0
na
0
0
0
0.1
99
0
0
1
0
3
2,022
529
33
male
1
student
0
0
0
31.1
19.8
30.5
67
34.5
0
0
0
0
0
1
1
1
none
0
na
0
0
0
0
100
1
0
1
0
11
2,021
530
13
male
0
subsistence_farmer
1
0
0
30.8
23.3
30
42
32.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,020
531
95
female
0
subsistence_farmer
1
0
1
31.4
19.6
25.6
56
34.2
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,023
532
50
female
1
subsistence_farmer
1
0
0
32.3
26.6
29.6
55
35
1
1
1
0
0
0
1
0
none
0
na
0
0
0
1
92
0
0
1
1
4
2,019
533
25
male
0
domestic_worker
0
0
0
23.9
18
26.1
73
27.5
1
3
0
0
1
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,023
534
35
male
1
subsistence_farmer
1
1
0
34.9
21.3
28.2
39
36.9
0
0
0
0
1
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,019
535
26
male
0
construction
1
0
0
32.1
23.2
28.2
46
34.4
0
0
0
0
0
0
1
0
heat_exhaustion
1
severe
1
1
0
0
100
0
0
1
0
4
2,021
536
24
male
1
transport
1
1
0
27.7
22.5
28.4
73
31.4
1
7
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
10
2,023
537
21
male
0
construction
1
0
0
37
29.2
28
53
39.6
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,022
538
61
male
1
market_vendor
1
0
0
35.4
24.5
30
15
36.1
0
0
0
0
0
1
1
0
none
0
na
0
0
0
1
92
0
0
0
0
5
2,021
539
7
female
0
commercial_farmer
1
0
0
33.7
26.3
29.5
65
37
0
0
1
0
0
0
0
0
none
0
na
0
0
0
1.1
91
0
0
1
0
12
2,020
540
57
female
1
subsistence_farmer
1
1
0
33.3
26
29.8
41
35.3
0
0
1
1
1
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,020
541
10
male
0
office_indoor
0
0
0
32.3
22.4
28.8
47
34.6
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
3
2,022
542
68
male
0
market_vendor
1
0
1
30.2
23.1
27
69
33.6
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.3
97
0
0
0
0
9
2,023
543
17
female
0
factory
0
0
0
32.8
25.6
26.3
70
36.3
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,021
544
71
female
1
office_indoor
0
0
1
34.5
21
30.7
47
36.9
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,022
545
38
female
1
subsistence_farmer
1
0
0
35.1
27
24
46
37.4
0
0
1
1
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
3
2,023
546
30
female
1
student
0
0
0
29.3
20.7
26.3
41
31.4
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,020
547
16
female
0
office_indoor
0
0
0
34
23.2
30.3
67
37.4
1
2
0
0
0
1
0
0
dehydration
1
mild
0
0
0
0
100
0
0
1
0
4
2,019
548
29
male
1
other
1
0
0
36.9
24.9
29.5
53
39.5
0
0
0
1
0
1
0
0
none
0
na
0
0
0
1.1
91
0
0
0
0
6
2,021
549
36
male
0
market_vendor
0
0
0
34.7
23
33.7
56
37.5
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,020
550
44
male
0
construction
1
0
0
34.4
26.5
25.7
72
38
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0.1
99
0
0
0
0
12
2,022
551
31
female
0
factory
0
0
0
40.7
28
29.5
63
43.9
1
1
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,023
552
45
female
1
transport
1
0
0
36
28.8
26
35
37.8
0
0
1
1
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
7
2,023
553
14
male
0
subsistence_farmer
1
1
0
36.3
29.8
27.9
56
39.1
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0.2
98
0
0
0
0
7
2,023
554
24
female
0
student
0
0
0
27.5
14.3
29.4
61
30.6
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,023
555
39
female
0
transport
1
0
0
33.6
22.2
28.8
39
35.6
0
0
0
0
0
1
1
1
none
0
na
0
0
0
0.3
97
0
0
0
0
5
2,023
556
81
male
0
student
0
0
1
33.1
20.4
26.9
69
36.6
0
0
0
0
0
1
1
1
none
0
na
0
0
0
0
100
0
0
0
0
5
2,023
557
66
female
1
subsistence_farmer
1
1
1
35
27.5
29.6
51
37.5
0
0
1
1
0
1
1
1
none
0
na
0
0
0
0.1
99
0
0
0
0
4
2,023
558
95
male
0
subsistence_farmer
1
0
1
27.2
17
26
48
29.6
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
11
2,019
559
28
male
0
unemployed
0
0
0
33.7
24.2
31
57
36.6
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,020
560
18
female
0
domestic_worker
0
0
0
36.3
23.3
27
46
38.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
2
2,021
561
21
female
1
unemployed
0
0
0
36.8
24.4
24.9
64
40
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
2
2,022
562
14
male
0
subsistence_farmer
1
0
0
32.9
24.7
27.4
50
35.4
0
0
0
0
0
1
1
0
none
0
na
0
0
0
1.2
90
0
0
1
0
6
2,021
563
28
male
0
transport
1
0
0
32.4
21.4
32.4
50
34.9
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,021
564
12
male
1
market_vendor
0
0
0
36.2
21.2
32.6
69
39.7
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,023
565
51
female
1
factory
0
1
0
33.5
27.9
30.5
51
36
0
0
1
1
1
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
9
2,020
566
13
male
0
subsistence_farmer
1
1
0
39.5
29.8
31.7
58
42.4
0
0
1
0
0
0
1
0
none
0
na
0
0
0
2
84
0
0
0
0
5
2,021
567
54
female
0
factory
0
0
0
32.7
26
28.2
28
34.1
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,023
568
19
female
0
unemployed
0
0
0
32.5
24.2
28.6
50
35
1
15
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,023
569
39
male
1
domestic_worker
0
0
0
33
18.7
30.5
42
35.1
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,023
570
61
female
0
domestic_worker
0
1
0
33.1
20.5
29.6
60
36.1
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,023
571
14
male
1
subsistence_farmer
1
0
0
29.7
21.9
28.6
38
31.6
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
4
2,022
572
33
female
1
office_indoor
0
0
0
33.1
21.5
28.5
15
33.9
0
0
0
1
1
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,022
573
48
female
0
subsistence_farmer
1
0
0
35.7
22.3
30.2
65
39
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.2
98
0
0
1
0
4
2,022
574
29
female
0
construction
1
0
0
29.2
19
35.5
79
33.1
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.5
96
0
0
0
0
4
2,023
575
29
male
0
commercial_farmer
1
0
0
39.4
25.2
23.6
46
41.7
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
11
2,020
576
23
male
1
subsistence_farmer
1
0
0
33.6
26.1
27.6
47
36
0
0
1
1
0
1
1
0
none
0
na
0
0
0
0.3
97
0
0
0
0
10
2,019
577
15
male
1
construction
1
0
0
29.5
16.6
27.8
59
32.5
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.5
96
0
0
0
0
8
2,023
578
32
male
0
subsistence_farmer
1
0
0
31.5
26.4
27
56
34.3
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.5
96
0
0
0
0
6
2,019
579
33
female
0
student
0
0
0
27.4
17.6
28.4
44
29.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,020
580
40
female
1
student
0
0
0
30.1
16.7
29.7
46
32.4
1
3
0
1
0
1
1
1
none
0
na
0
0
0
0
100
0
0
0
0
6
2,023
581
37
male
0
transport
0
0
0
31.7
17.9
25.2
54
34.4
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,023
582
21
male
0
transport
1
0
0
32.9
19.4
26.3
56
35.7
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.1
99
1
0
1
0
5
2,022
583
54
male
0
subsistence_farmer
1
1
0
33.3
26.7
27.5
75
37
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.1
99
0
0
1
0
7
2,019
584
36
male
0
student
1
0
0
31.9
21.6
29.1
55
34.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.6
95
0
0
1
0
9
2,023
585
18
male
0
construction
0
0
0
32.3
18.2
29.1
80
36.3
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
7
2,023
586
32
male
1
mining
1
0
0
33.4
19.7
27.9
79
37.4
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.5
96
0
0
1
0
4
2,023
587
29
female
1
student
0
0
0
33
21
30.4
42
35.1
0
0
0
1
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,022
588
27
male
0
construction
1
0
0
28.7
22.7
31.3
57
31.6
0
0
0
0
0
0
0
0
none
0
na
0
0
0
1
92
0
0
0
0
3
2,021
589
39
male
1
student
1
0
0
33.4
23.7
25.8
50
35.9
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0.2
98
1
0
0
0
5
2,023
590
26
female
1
transport
1
0
0
36.6
25
33.5
44
38.8
0
0
0
1
1
1
1
0
none
0
na
0
0
0
0.5
96
0
0
0
0
4
2,022
591
12
male
0
student
0
0
0
33.6
23.2
28.5
72
37.2
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
8
2,020
592
38
male
1
commercial_farmer
1
0
0
34
26.7
28.4
41
36
1
4
1
1
1
0
1
0
none
0
na
0
0
0
0.1
99
1
0
0
0
12
2,021
593
14
male
0
unemployed
1
0
0
30.4
17
28.5
84
34.6
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0.2
98
0
0
0
0
4
2,021
594
28
male
0
transport
1
0
0
36.6
30.3
30.9
59
39.6
0
0
1
0
0
0
1
0
dehydration
1
moderate
1
0
0
1.4
88
1
0
1
0
10
2,020
595
14
female
0
transport
1
0
0
33.8
21
29.4
48
36.2
0
0
0
0
0
1
1
0
none
0
na
0
0
0
1.1
91
0
0
0
0
12
2,022
596
13
male
0
commercial_farmer
0
0
0
28.7
20.8
31
51
31.2
1
1
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
1
8
2,022
597
53
female
1
office_indoor
0
0
0
34.3
28.8
29.5
62
37.4
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,022
598
19
female
1
factory
0
0
0
31.9
24.4
28.7
56
34.7
1
2
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,020
599
34
male
1
student
0
0
0
34.7
27.9
28.5
72
38.3
1
9
1
1
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,020
600
27
female
0
construction
1
0
0
34.7
20.2
28.2
57
37.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
12
2,022