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
401
33
female
0
subsistence_farmer
1
0
0
35.4
23.5
27.1
41
37.4
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.3
97
0
0
1
0
11
2,022
402
40
male
0
subsistence_farmer
1
0
0
33.6
23.2
28.6
59
36.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
1.2
90
0
0
0
0
5
2,023
403
64
male
1
commercial_farmer
1
0
0
29.9
20.6
28.3
59
32.9
0
0
0
0
1
0
1
0
none
0
na
0
0
0
0.3
97
1
0
1
0
12
2,020
404
30
female
0
office_indoor
0
0
0
33.6
22.5
29.5
85
37.9
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
1
2,019
405
20
male
1
construction
1
0
0
31.8
21.3
31.5
85
36
0
0
0
1
1
1
1
0
none
0
na
0
0
0
0.8
93
0
0
0
0
1
2,019
406
15
male
0
subsistence_farmer
1
0
0
27
14.5
29.2
61
30.1
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.5
96
0
0
0
0
4
2,022
407
44
female
0
subsistence_farmer
1
0
0
39.1
28.4
29.8
67
42.5
0
0
1
0
0
0
0
0
none
0
na
0
0
0
2.1
83
0
0
1
0
4
2,020
408
25
male
0
subsistence_farmer
1
0
0
32.6
23.4
31.5
71
36.1
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,023
409
17
female
1
other
1
0
0
38
26.8
29.7
40
40
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,020
410
27
male
1
student
0
1
0
35.5
21.4
28.9
72
39.1
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,021
411
27
female
0
unemployed
0
0
0
32.4
17.9
26.2
66
35.7
1
2
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
1
7
2,023
412
19
female
0
student
0
0
0
32
25.6
30.4
48
34.4
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,019
413
43
male
0
market_vendor
1
0
0
25.2
12.5
30.3
48
27.6
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.5
96
1
0
1
0
3
2,019
414
14
female
1
student
0
0
0
39.8
30.9
25.7
46
42.1
0
0
1
1
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,023
415
14
male
1
domestic_worker
0
0
0
31.6
24
30.4
47
34
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,021
416
13
female
1
subsistence_farmer
0
0
0
36.9
29.7
29.8
37
38.8
0
0
1
1
1
1
0
0
none
0
na
0
0
0
0
100
1
0
0
0
6
2,020
417
38
male
1
other
0
0
0
37.2
25.7
28.9
22
38.3
0
0
1
1
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
6
2,023
418
30
female
1
construction
1
1
0
33.4
21.2
29
48
35.8
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.7
94
0
0
0
0
3
2,020
419
6
male
0
student
0
0
0
32
18.3
32.8
70
35.5
1
1
0
0
0
1
0
0
dehydration
1
moderate
0
0
0
0
100
0
0
0
0
8
2,021
420
36
female
1
other
0
0
0
38.3
28.1
28.8
36
40.1
1
2
1
1
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
1
3
2,020
421
15
female
1
subsistence_farmer
1
0
0
28.5
19.6
24
39
30.4
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,023
422
86
female
1
transport
0
0
1
37.6
29.4
28
37
39.5
0
0
1
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,019
423
16
male
0
domestic_worker
0
0
0
32.8
25.6
32.9
62
35.9
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,023
424
60
male
0
market_vendor
0
0
0
28.4
18.7
30.4
79
32.4
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
11
2,023
425
27
female
1
factory
1
0
0
34.8
23.9
29.8
37
36.6
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
1
0
0
0
4
2,022
426
63
male
1
construction
1
0
0
37.8
23.7
33.4
21
38.8
0
0
0
1
0
0
1
0
none
0
na
0
0
0
1.6
87
0
0
1
0
3
2,021
427
27
female
1
subsistence_farmer
1
0
0
38.7
28.7
28.2
50
41.2
0
0
1
1
0
0
0
0
none
0
na
0
0
0
1.2
90
0
0
0
0
6
2,021
428
38
male
0
subsistence_farmer
1
0
0
31
21
26.5
38
32.9
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,020
429
16
male
0
other
0
0
0
31.1
16.3
24.8
78
35
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,022
430
33
male
1
construction
1
0
0
30.8
22.8
30.7
55
33.5
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,020
431
22
female
1
market_vendor
0
0
0
30.8
17.3
28.2
40
32.8
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,023
432
20
male
0
other
0
0
0
35.5
25.6
30.2
70
39
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0
100
1
0
1
0
5
2,020
433
24
female
1
student
0
0
0
29.4
24.3
31.7
28
30.8
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,021
434
37
male
0
construction
1
0
0
35.5
25.2
28.2
68
38.9
1
6
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,019
435
41
male
0
transport
1
0
0
29.9
24.7
28
53
32.5
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.8
93
1
0
1
0
6
2,022
436
34
female
1
office_indoor
0
0
0
33.6
19.7
33.2
45
35.9
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,023
437
16
male
0
student
0
1
0
32.8
19.4
28.1
70
36.3
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,022
438
22
female
0
subsistence_farmer
1
0
0
28.8
20.2
34.4
39
30.8
0
0
0
0
0
0
0
1
dehydration
1
moderate
1
0
0
0
100
0
0
1
0
6
2,022
439
58
male
1
transport
1
0
0
31.5
23.7
28.9
58
34.4
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0.7
94
0
0
1
0
5
2,023
440
30
female
0
domestic_worker
1
0
0
34.8
23.9
30.9
54
37.5
1
2
0
0
0
0
1
0
none
0
na
0
0
0
1.3
89
0
0
1
1
2
2,021
441
20
female
0
construction
1
0
0
28.4
13.4
28.9
37
30.2
0
0
0
0
0
0
0
0
none
0
na
0
0
0
1.1
91
0
0
0
0
2
2,020
442
14
male
0
commercial_farmer
1
0
0
32.9
25.8
30.9
54
35.6
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0.7
94
0
0
1
0
12
2,023
443
17
male
1
unemployed
0
1
0
32.5
26.6
25.7
56
35.3
1
3
1
1
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
2
2,023
444
75
male
0
transport
1
0
1
30.5
20.2
27.8
68
33.9
1
5
0
0
0
1
1
0
none
0
na
0
0
0
0.2
98
0
0
1
1
8
2,022
445
21
male
0
subsistence_farmer
1
0
0
31.7
22.5
25.9
60
34.7
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
10
2,023
446
45
female
0
subsistence_farmer
1
0
0
31
19.6
34
58
33.9
0
0
0
0
0
0
0
1
none
0
na
0
0
0
1.4
88
0
0
0
0
6
2,022
447
95
male
0
office_indoor
0
1
1
30.1
20.7
29
42
32.2
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,023
448
37
female
0
commercial_farmer
1
0
0
32.4
21.7
31.7
65
35.6
0
0
0
0
0
1
0
1
none
0
na
0
0
0
2.8
77
0
0
0
0
4
2,022
449
18
female
1
office_indoor
0
0
0
35.1
29.6
26.8
49
37.6
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,021
450
19
female
0
market_vendor
1
0
0
36.9
27.9
27.9
63
40
1
12
1
0
0
1
1
0
none
0
na
0
0
0
1.1
91
0
0
1
0
2
2,022
451
32
male
0
subsistence_farmer
1
1
0
40.7
25.9
28.3
45
43
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.6
95
0
0
0
0
1
2,022
452
31
male
0
subsistence_farmer
1
0
0
29.8
21.1
27.1
36
31.6
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.6
95
0
0
1
0
7
2,019
453
23
female
0
domestic_worker
0
0
0
31.3
18.3
30.2
64
34.5
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
1
0
0
0
5
2,023
454
26
male
1
unemployed
1
0
0
34.2
24.7
27.4
55
37
0
0
0
0
1
1
0
0
none
0
na
0
0
0
0.5
96
1
0
1
0
8
2,022
455
41
male
0
office_indoor
0
0
0
32.5
25.4
29
36
34.3
0
0
1
0
0
1
1
1
none
0
na
0
0
0
0
100
0
0
1
0
4
2,019
456
43
male
0
office_indoor
0
0
0
29.8
17.9
25.2
63
33
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
1
2,021
457
28
female
0
domestic_worker
0
0
0
35
20.9
29.3
69
38.5
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
12
2,022
458
87
male
0
commercial_farmer
1
0
1
33.6
24.8
30.2
53
36.2
0
0
0
0
0
1
1
1
none
0
na
0
0
0
1.9
84
0
0
0
0
3
2,022
459
19
female
1
market_vendor
1
0
0
31.3
18.1
31
38
33.2
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.9
92
0
0
1
0
11
2,023
460
23
male
0
transport
0
1
0
32.2
21.8
27.6
59
35.2
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,022
461
37
male
0
subsistence_farmer
1
0
0
33.1
24.8
27.1
29
34.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.4
96
1
0
0
0
8
2,019
462
50
male
1
office_indoor
0
0
0
32.9
25
29.7
60
35.9
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
1
0
0
0
4
2,022
463
38
male
0
student
0
0
0
31.4
19
28.6
73
35
0
0
0
0
0
0
1
0
cvd_exacerbation
1
mild
0
0
0
0
100
0
0
0
0
3
2,022
464
51
male
0
construction
1
1
0
35.7
22.3
27
54
38.4
0
0
0
0
1
0
0
0
none
0
na
0
0
0
0.7
94
0
0
1
0
5
2,021
465
52
male
1
construction
1
0
0
32.1
23.4
30
26
33.4
0
0
0
1
1
1
1
0
none
0
na
0
0
0
1.1
91
0
0
0
0
6
2,019
466
34
female
1
factory
0
0
0
36
29.3
30.1
66
39.3
0
0
1
1
1
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,020
467
10
female
0
domestic_worker
0
1
0
28.1
16.5
25.2
29
29.6
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
10
2,020
468
31
male
0
other
0
0
0
31.8
26.1
31.1
48
34.2
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,023
469
40
male
0
office_indoor
0
0
0
32.9
18.3
28.2
46
35.2
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,022
470
39
female
1
commercial_farmer
0
0
0
29.4
16.3
29.6
65
32.6
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,023
471
38
male
1
subsistence_farmer
1
0
0
33
26.4
27.4
56
35.8
0
0
1
1
0
0
1
0
none
0
na
0
0
0
0.4
96
0
0
0
0
8
2,021
472
13
male
0
construction
1
0
0
30.9
25.8
30.1
61
33.9
0
0
1
0
0
0
1
0
none
0
na
0
0
0
2.1
83
0
0
0
0
4
2,023
473
24
female
1
domestic_worker
1
0
0
32.2
18.9
29.6
57
35.1
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,022
474
57
male
1
subsistence_farmer
1
0
0
24.7
17.5
30.6
91
29.2
0
0
0
1
1
0
1
0
none
0
na
0
0
0
0.5
96
0
0
0
0
5
2,022
475
59
female
0
commercial_farmer
1
0
0
32.6
23.4
28.9
39
34.6
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0.9
92
0
0
0
0
9
2,023
476
10
female
1
subsistence_farmer
1
0
0
33.3
25
28.5
57
36.1
0
0
0
0
0
1
1
0
heat_exhaustion
1
mild
0
0
0
0
100
0
0
0
0
2
2,021
477
37
female
0
other
0
0
0
29.5
21.4
28.4
61
32.5
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
6
2,021
478
40
male
0
student
0
0
0
30.1
23.8
32.1
78
34
1
2
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
1
1
4
2,023
479
18
male
1
office_indoor
0
0
0
30.6
15.7
30.1
41
32.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
1
0
1
0
7
2,023
480
77
female
1
domestic_worker
0
0
1
38.4
28.1
27.6
28
39.8
0
0
1
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
1
2,020
481
24
female
0
construction
1
0
0
27.8
22.6
24.2
57
30.7
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,022
482
95
female
0
office_indoor
0
0
1
30.6
18.8
24.9
34
32.3
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
1
0
9
2,023
483
17
male
0
subsistence_farmer
1
0
0
33.6
20.4
29.3
46
35.9
0
0
0
0
0
1
1
0
none
0
na
0
0
0
1
92
0
0
0
0
6
2,019
484
35
female
0
unemployed
1
0
0
27.8
20.7
26.6
47
30.2
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
1
2,023
485
37
male
0
commercial_farmer
1
0
0
29.4
16.6
31.2
36
31.2
1
2
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
12
2,022
486
52
male
0
subsistence_farmer
1
0
0
37.9
23.9
28.6
36
39.7
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
9
2,021
487
17
male
1
mining
1
0
0
28.1
15.4
32.5
56
30.9
1
4
0
1
0
0
0
1
none
0
na
0
0
0
0.4
96
0
0
1
1
12
2,022
488
28
male
0
market_vendor
0
0
0
36
24
30
52
38.6
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
1
2,023
489
38
female
1
market_vendor
0
0
0
36.4
24.9
32.4
81
40.4
0
0
0
0
1
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,022
490
39
male
0
subsistence_farmer
1
0
0
32.2
22
30.5
49
34.7
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.2
98
0
0
0
0
12
2,020
491
13
male
0
unemployed
0
1
0
30
16.6
32.1
56
32.8
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
7
2,022
492
19
male
0
office_indoor
0
0
0
33.4
27.5
27.2
61
36.4
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,023
493
79
male
0
market_vendor
1
0
1
31.1
17.1
23.3
53
33.8
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,023
494
28
female
1
construction
1
0
0
31.2
21.3
30.6
59
34.1
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0.3
97
0
0
0
0
8
2,022
495
46
female
0
domestic_worker
0
0
0
31.5
18.6
29.9
56
34.3
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,021
496
35
female
0
market_vendor
1
0
0
28.1
13.2
28.2
19
29.1
0
0
0
0
0
1
1
1
none
0
na
0
0
0
0
100
0
0
0
0
12
2,022
497
53
female
1
market_vendor
1
0
0
30.6
17.1
26.6
48
33
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.4
96
0
0
1
0
6
2,022
498
29
female
0
market_vendor
1
0
0
35.8
25.2
31.6
75
39.5
0
0
1
0
0
0
0
0
none
0
na
0
0
0
1.5
88
0
0
0
0
10
2,019
499
39
male
1
subsistence_farmer
1
0
0
38
25.8
31.4
59
41
0
0
1
1
1
0
0
1
none
0
na
0
0
0
2.1
83
0
0
0
0
5
2,023
500
27
male
0
student
0
0
0
27.5
18.3
28.4
45
29.8
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,020