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
601
73
male
0
domestic_worker
0
1
1
38.8
24.3
33.3
56
41.6
1
1
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,021
602
23
male
0
student
0
0
0
32
21.8
29.2
44
34.2
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
12
2,023
603
26
female
0
student
0
0
0
37
30
27.7
39
39
1
2
1
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
2
2,023
604
14
male
0
unemployed
1
0
0
36.9
27.2
30.8
52
39.5
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.2
98
0
0
0
0
10
2,022
605
24
female
0
market_vendor
0
0
0
30.5
19.4
34.2
57
33.4
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
7
2,020
606
51
male
1
mining
1
0
0
33.2
24.7
33.9
54
35.9
1
2
0
0
0
1
0
0
none
0
na
0
0
0
3.7
70
0
0
0
0
7
2,023
607
18
male
0
subsistence_farmer
1
0
0
27.5
22.2
30.8
51
30.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.7
94
0
0
0
0
2
2,022
608
22
male
0
commercial_farmer
1
0
0
36.5
23.7
34
77
40.4
0
0
0
0
0
1
0
0
none
0
na
0
0
0
2.3
81
0
0
0
0
10
2,021
609
13
male
0
market_vendor
1
1
0
30.6
17.8
28.8
61
33.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
1.2
90
0
0
1
0
5
2,019
610
21
male
1
student
0
0
0
31.3
20
30
60
34.3
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,021
611
25
male
0
subsistence_farmer
1
0
0
35.1
23.1
28.9
46
37.4
0
0
0
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
5
2,022
612
35
female
0
market_vendor
0
1
0
34.2
27.1
30.8
48
36.6
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
11
2,022
613
29
male
0
construction
1
0
0
29.6
15.3
26.9
74
33.3
0
0
0
0
0
1
1
1
none
0
na
0
0
0
0.4
96
0
0
1
0
5
2,021
614
29
female
0
subsistence_farmer
1
0
0
33
22.7
28.8
61
36
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,020
615
20
female
0
domestic_worker
0
0
0
34.8
27.7
28
72
38.4
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,020
616
57
female
1
subsistence_farmer
1
0
0
27
20.4
30.4
63
30.1
0
0
0
1
0
1
0
1
none
0
na
0
0
0
0
100
0
0
1
0
6
2,022
617
23
female
1
subsistence_farmer
1
0
0
36.4
26.3
28.6
65
39.6
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.7
94
0
0
0
0
4
2,022
618
15
male
0
commercial_farmer
0
0
0
31.9
17.2
26.3
58
34.8
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,023
619
68
female
0
commercial_farmer
0
1
1
32.4
24.2
30.4
66
35.7
1
8
0
0
0
1
1
0
none
0
na
0
0
0
0
100
1
0
1
0
12
2,022
620
15
female
1
subsistence_farmer
1
0
0
30.5
20.9
27.1
89
35
0
0
0
1
0
0
1
1
none
0
na
0
0
0
0
100
1
0
1
0
11
2,023
621
34
female
0
office_indoor
0
0
0
38.4
25.4
27
44
40.6
1
3
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
8
2,022
622
33
male
1
office_indoor
0
0
0
31.5
19.1
28.4
83
35.6
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
12
2,023
623
64
female
1
subsistence_farmer
1
1
0
33.8
22.7
25.2
30
35.3
0
0
0
1
0
1
1
1
none
0
na
0
0
0
0
100
0
0
0
0
4
2,020
624
21
female
1
commercial_farmer
1
0
0
34.6
19.7
29.5
41
36.6
0
0
0
0
0
1
0
0
none
0
na
0
0
0
1.4
88
0
0
0
0
6
2,021
625
39
male
1
student
1
0
0
33.4
25.5
26.4
54
36.1
0
0
1
1
0
0
1
0
none
0
na
0
0
0
0.3
97
0
0
0
0
7
2,022
626
44
male
0
commercial_farmer
1
1
0
29.7
17.3
27.5
80
33.7
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.7
94
0
0
0
0
12
2,021
627
41
male
1
market_vendor
0
0
0
33.4
23.2
32.9
70
36.9
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
1
0
0
0
10
2,021
628
20
male
1
office_indoor
0
0
0
32
18.8
25.8
72
35.6
0
0
0
1
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
10
2,022
629
24
male
1
office_indoor
0
0
0
30.4
17.5
27.9
67
33.8
0
0
0
1
0
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
3
2,021
630
61
female
0
construction
1
0
0
33.6
20.7
31.1
63
36.8
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.4
96
1
0
0
0
5
2,022
631
56
male
1
market_vendor
0
0
0
29.6
15
30.2
60
32.6
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,023
632
13
female
0
domestic_worker
1
0
0
33.6
27.4
28.3
93
38.2
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.1
99
0
0
1
0
8
2,019
633
43
male
1
unemployed
0
0
0
29.3
15.6
29
71
32.9
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
1
0
0
0
9
2,021
634
34
male
1
student
0
0
0
33
25.8
28.8
57
35.9
0
0
1
1
1
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
10
2,019
635
43
female
1
subsistence_farmer
1
0
0
35.8
21.3
33.3
24
37
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,023
636
19
male
1
domestic_worker
0
0
0
28.7
18.3
28.4
36
30.5
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
1
2,022
637
9
male
1
construction
1
0
0
27.3
21.7
31.7
45
29.6
1
6
0
1
0
1
1
0
none
0
na
0
0
0
2.3
81
0
0
1
0
3
2,022
638
30
female
1
domestic_worker
1
0
0
27.7
18.1
30.1
51
30.2
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.4
96
0
0
0
0
8
2,022
639
16
female
0
domestic_worker
0
0
0
36.7
30
31
75
40.5
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,022
640
34
male
1
factory
0
0
0
33.1
24.7
34.6
68
36.5
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,023
641
41
male
0
office_indoor
0
0
0
33.7
22.4
30.8
46
36
0
0
0
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
4
2,023
642
19
female
0
subsistence_farmer
1
0
0
29.8
15.2
31.4
41
31.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.9
92
0
0
0
0
11
2,021
643
45
male
0
construction
1
0
0
32.6
25.3
27.2
50
35.1
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.3
97
1
0
0
0
9
2,022
644
47
male
0
commercial_farmer
1
0
0
31.6
21.7
28.8
80
35.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.2
98
0
0
1
0
6
2,020
645
52
male
0
construction
1
0
0
32.8
22.6
28
46
35.1
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0.2
98
0
0
0
0
12
2,023
646
21
male
0
unemployed
0
0
0
33.9
21.4
29.4
82
38
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
5
2,021
647
41
male
0
subsistence_farmer
1
0
0
31.2
20.6
27.1
42
33.3
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.1
99
0
0
0
0
7
2,023
648
54
female
0
student
0
0
0
35.9
24
29.5
53
38.5
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
1
0
0
0
6
2,023
649
38
female
0
other
0
0
0
32.3
19.8
29.7
43
34.4
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,023
650
33
male
0
subsistence_farmer
1
0
0
36.3
21.6
29.9
75
40
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
9
2,019
651
55
male
1
commercial_farmer
1
0
0
27.2
17.5
26.4
75
30.9
0
0
0
1
1
0
0
0
none
0
na
0
0
0
0.2
98
0
0
1
0
10
2,023
652
38
male
1
construction
1
0
0
30.8
23.3
30
54
33.5
0
0
0
1
0
0
0
0
none
0
na
0
0
0
0.8
93
0
0
1
0
7
2,022
653
17
male
0
construction
1
0
0
36
22.4
27.2
59
39
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
2
2,022
654
29
male
1
subsistence_farmer
1
0
0
33.3
23.9
23.6
73
36.9
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,021
655
59
male
1
construction
1
0
0
33.9
28.8
32.4
73
37.5
0
0
1
1
0
0
1
1
none
0
na
0
0
0
1.6
87
0
0
0
0
6
2,019
656
45
female
0
unemployed
0
0
0
36
27.2
33.8
71
39.5
0
0
1
0
0
1
0
1
none
0
na
0
0
0
0
100
1
0
0
0
4
2,022
657
25
male
0
factory
0
0
0
28
14
30.3
65
31.2
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,022
658
44
female
0
transport
0
0
0
31.5
20
30.4
52
34.1
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,022
659
8
female
1
construction
1
0
0
30.6
17.8
33.6
53
33.2
0
0
0
1
0
1
1
0
none
0
na
0
0
0
1.3
89
0
0
0
0
7
2,021
660
46
male
1
market_vendor
0
0
0
29.6
16.7
29.9
50
32.1
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,023
661
48
female
0
subsistence_farmer
1
0
0
31.8
25.9
29.4
44
34
0
0
1
0
0
0
0
1
none
0
na
0
0
0
1.5
88
0
0
0
0
5
2,023
662
33
male
0
construction
0
0
0
32.1
25.1
30.6
44
34.3
0
0
1
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
5
2,022
663
14
male
1
market_vendor
0
0
0
38.7
33.5
30.4
69
42.2
1
3
1
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,022
664
35
female
0
other
0
0
0
36
29.3
28.7
78
39.9
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,021
665
28
male
0
unemployed
0
0
0
32.7
24.1
34
61
35.8
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,021
666
43
male
0
mining
0
0
0
25.3
13.1
33
60
28.3
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
12
2,020
667
13
female
1
subsistence_farmer
1
0
0
31.6
18.3
32.2
49
34.1
0
0
0
1
0
1
1
0
heat_exhaustion
1
severe
0
0
0
3.3
73
1
0
0
0
7
2,019
668
45
female
1
other
1
0
0
34.1
27.6
31.4
67
37.5
0
0
1
0
0
0
0
0
none
0
na
0
0
0
1.7
86
0
0
1
0
3
2,021
669
33
female
0
mining
1
0
0
27.7
21.7
30.3
51
30.2
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.9
92
0
0
0
0
4
2,022
670
31
male
0
subsistence_farmer
1
0
0
37.9
23.6
28.7
66
41.2
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0.6
95
1
0
0
0
11
2,023
671
35
male
0
transport
1
0
0
28.8
19.4
25
70
32.3
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
9
2,020
672
23
male
1
factory
1
0
0
31.3
20.1
26.2
60
34.3
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0.1
99
0
0
0
0
7
2,022
673
30
female
0
subsistence_farmer
1
0
0
29
20.7
29.8
51
31.6
1
4
0
0
0
0
0
1
none
0
na
0
0
0
0.4
96
0
0
1
0
8
2,020
674
21
male
1
student
0
0
0
33.4
25.6
29.4
27
34.8
0
0
1
1
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,019
675
30
female
0
other
0
0
0
32
20.9
28.2
73
35.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,020
676
39
male
1
transport
1
0
0
37.8
29.2
27.4
44
40
0
0
1
0
0
0
0
1
none
0
na
0
0
0
0.3
97
1
0
1
0
1
2,021
677
20
male
0
factory
0
1
0
29
22.5
28.5
57
31.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
12
2,023
678
48
male
1
mining
1
0
0
36.9
30.9
27.9
49
39.4
0
0
1
1
0
0
1
0
none
0
na
0
0
0
0.4
96
0
0
0
0
12
2,023
679
24
male
0
subsistence_farmer
1
0
0
27.6
15.4
32.7
42
29.7
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
1
0
1
0
5
2,021
680
54
male
1
office_indoor
0
1
0
36.2
26
25.4
19
37.2
0
0
1
1
0
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
10
2,020
681
25
female
0
construction
1
0
0
29.2
17.7
32
57
32
0
0
0
0
0
0
0
0
none
0
na
0
0
0
2.9
76
0
0
0
0
2
2,020
682
71
male
1
commercial_farmer
1
0
1
34
23.9
28.4
79
38
1
2
0
1
0
1
1
0
none
0
na
0
0
0
0.8
93
1
0
0
1
8
2,023
683
20
female
0
market_vendor
0
0
0
31.2
18.5
31.8
57
34
1
8
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
7
2,019
684
46
male
1
construction
1
0
0
35.3
24.3
31.8
44
37.5
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,023
685
38
male
0
mining
1
0
0
32.4
20
27.1
59
35.4
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.1
99
0
0
0
0
10
2,021
686
16
female
0
subsistence_farmer
1
0
0
32.8
18.5
30
52
35.4
0
0
0
0
1
0
1
0
none
0
na
0
0
0
2.1
83
0
0
0
0
2
2,022
687
17
male
1
office_indoor
0
0
0
36.2
30.3
29.5
54
38.9
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
7
2,023
688
29
female
0
factory
0
0
0
36.3
25.3
32.4
62
39.4
0
0
1
0
0
0
0
0
heat_exhaustion
1
moderate
1
0
0
0
100
0
0
1
0
11
2,019
689
16
male
0
other
0
0
0
35.1
24.3
29.1
49
37.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,020
690
25
male
0
construction
1
1
0
30.3
21.2
26.7
67
33.6
1
3
0
0
0
0
1
1
none
0
na
0
0
0
0.6
95
0
0
0
0
7
2,020
691
14
male
1
office_indoor
0
0
0
31.8
25.5
27.9
54
34.5
0
0
1
1
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,019
692
27
male
0
subsistence_farmer
1
0
0
35.5
24.9
31.2
78
39.4
0
0
0
0
0
0
1
0
none
0
na
0
0
0
2.5
80
1
0
1
0
7
2,023
693
26
male
1
construction
1
0
0
38.9
29.7
29.9
56
41.7
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,021
694
57
male
0
mining
0
0
0
34.2
26.2
25.8
70
37.7
1
6
1
0
1
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,021
695
27
male
0
market_vendor
0
0
0
33.7
25.5
33.1
30
35.2
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
1
0
0
0
6
2,023
696
35
male
0
other
0
0
0
34.8
21.4
25.4
75
38.5
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,023
697
10
male
0
unemployed
1
0
0
34.7
22
26.6
67
38.1
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,021
698
34
male
0
student
0
0
0
32.6
19
28.4
23
33.8
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
8
2,022
699
32
male
1
commercial_farmer
1
1
0
28
22.4
29.4
48
30.4
0
0
0
0
1
0
1
0
none
0
na
0
0
0
0.2
98
0
0
0
0
11
2,023
700
26
female
0
unemployed
0
0
0
33.2
27.1
31
36
35
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
1
0
1
2,023