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
301
87
female
0
unemployed
0
0
1
32.2
24.7
27.7
59
35.2
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
1
0
1
0
6
2,021
302
10
female
1
transport
0
0
0
30.5
16.1
27
40
32.5
0
0
0
0
1
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
4
2,021
303
46
male
1
commercial_farmer
1
0
0
34
28.7
29.1
47
36.4
0
0
1
0
0
1
1
1
none
0
na
0
0
0
0.2
98
0
0
0
0
11
2,020
304
43
male
1
student
1
0
0
29.5
21.7
34.2
77
33.4
0
0
0
1
1
1
0
1
none
0
na
0
0
0
3.7
70
0
0
1
0
3
2,023
305
44
female
0
domestic_worker
0
0
0
35.5
25.2
28.4
38
37.4
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,020
306
84
male
1
other
0
0
1
32.9
21
31.4
37
34.8
0
0
0
1
0
1
1
0
dehydration
1
mild
0
0
0
0
100
0
0
1
0
9
2,020
307
46
male
1
subsistence_farmer
1
0
0
33.1
27
33.1
54
35.8
0
0
1
0
0
1
0
0
heatstroke
1
moderate
1
0
0
1.3
89
0
0
0
0
4
2,022
308
25
male
0
transport
0
0
0
40.8
28.8
30.8
58
43.7
1
3
1
0
0
0
0
1
none
0
na
0
0
0
0
100
1
0
1
0
12
2,022
309
22
female
1
transport
0
0
0
31.7
23.4
28.9
56
34.5
0
0
0
1
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
6
2,021
310
22
male
0
unemployed
1
0
0
34.2
20.3
24.2
33
35.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
10
2,022
311
36
male
1
office_indoor
0
0
0
37.7
22.9
32.5
37
39.6
0
0
0
1
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
8
2,023
312
6
female
0
market_vendor
1
0
0
31
24.7
30.6
51
33.5
1
1
0
0
0
0
0
0
none
0
na
0
0
0
1.2
90
1
0
1
0
10
2,021
313
67
male
1
subsistence_farmer
1
1
1
28.2
17.9
24.1
48
30.6
1
1
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
1
0
0
8
2,021
314
27
female
0
student
0
0
0
33.7
24.1
25.6
52
36.3
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,022
315
29
male
0
office_indoor
0
0
0
40.2
28.1
27.2
53
42.9
0
0
1
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
1
0
5
2,023
316
25
female
0
market_vendor
0
0
0
31.3
22.9
27.5
55
34
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
1
2,022
317
24
male
0
factory
0
0
0
24.9
17.3
27.2
51
27.4
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,022
318
27
male
1
other
0
0
0
28.8
19.7
28.3
29
30.2
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,022
319
23
female
0
office_indoor
0
0
0
37.8
30.5
29
47
40.1
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,021
320
34
female
0
factory
1
1
0
28.8
22.3
23.2
71
32.4
1
3
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,023
321
67
female
0
office_indoor
0
0
1
34
26.2
30.7
54
36.7
0
0
1
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
12
2,020
322
70
female
0
factory
0
0
1
31.1
25.4
28.9
81
35.1
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,022
323
70
male
0
office_indoor
0
0
1
29.7
21.1
27.4
33
31.3
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,023
324
12
male
0
transport
1
0
0
35
22.1
31.7
43
37.1
0
0
0
0
0
0
1
0
none
0
na
0
0
0
1.1
91
1
0
1
0
3
2,021
325
21
male
0
student
0
0
0
36.5
24.1
22.6
49
39
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
2
2,023
326
28
female
1
other
1
1
0
34.9
24.4
22.3
10
35.4
0
0
0
1
1
0
1
1
none
0
na
0
0
0
0
100
1
0
1
0
4
2,020
327
38
female
1
office_indoor
0
0
0
34.4
27.4
29.4
33
36
0
0
1
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,021
328
11
male
0
market_vendor
1
1
0
32.6
27
28.9
69
36.1
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.5
96
0
0
1
0
4
2,023
329
63
female
0
student
0
1
0
33.1
20.5
34.8
64
36.3
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,021
330
13
male
1
commercial_farmer
1
1
0
32.3
26.9
29.5
33
33.9
0
0
1
1
0
0
1
0
none
0
na
0
0
0
0.4
96
0
0
0
0
4
2,022
331
36
male
0
unemployed
1
0
0
35.3
25.7
33.6
69
38.8
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0.8
93
0
0
0
0
3
2,021
332
66
female
1
student
0
0
1
33.6
21.3
26.1
50
36.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
7
2,021
333
37
female
0
market_vendor
0
0
0
34
28.8
29.1
65
37.2
0
0
1
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
4
2,021
334
44
male
1
market_vendor
1
0
0
31.2
19.6
28
57
34
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0.1
99
0
0
1
0
1
2,023
335
60
male
0
subsistence_farmer
1
0
0
33.2
20.3
27.9
36
35
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,022
336
44
male
1
subsistence_farmer
0
0
0
38.9
31.9
24.5
94
43.6
0
0
1
1
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,023
337
28
male
0
transport
0
0
0
36.5
25.4
30.5
49
39
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
7
2,019
338
47
female
0
construction
1
0
0
34
26.6
25.7
54
36.7
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.1
99
0
0
0
0
11
2,023
339
40
female
1
construction
1
0
0
32.7
21.2
26.1
49
35.2
1
2
0
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
1
0
5
2,021
340
24
female
1
subsistence_farmer
1
0
0
28.9
20.6
26.7
68
32.3
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.4
96
0
0
0
0
5
2,022
341
33
female
0
mining
1
0
0
31.8
23.9
29.1
66
35.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.3
97
0
0
0
0
7
2,022
342
28
female
1
commercial_farmer
1
0
0
33.8
19.8
30.5
45
36
1
4
0
0
0
0
1
0
none
0
na
0
0
0
1.7
86
0
0
1
0
5
2,021
343
40
male
0
subsistence_farmer
1
0
0
30.9
24.6
28.2
38
32.8
0
0
0
0
1
1
0
0
none
0
na
0
0
0
0.3
97
0
0
0
0
10
2,022
344
28
male
0
domestic_worker
1
0
0
34.6
23.7
31.3
49
37.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.8
93
0
0
1
0
3
2,020
345
37
male
0
subsistence_farmer
0
0
0
35.7
21.4
26.6
47
38.1
0
0
0
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
11
2,023
346
55
male
1
factory
0
0
0
31.2
21.3
33.7
62
34.3
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
7
2,019
347
23
female
1
commercial_farmer
1
0
0
37.6
30.8
31.6
81
41.6
0
0
1
1
0
1
1
0
none
0
na
0
0
0
0.8
93
0
0
0
0
10
2,021
348
22
male
1
subsistence_farmer
1
0
0
30.8
16.8
26.9
79
34.8
0
0
0
0
1
0
0
1
none
0
na
0
0
0
0.1
99
0
0
0
0
11
2,022
349
61
female
0
subsistence_farmer
1
0
0
33.2
19.5
28.1
84
37.4
1
1
0
0
0
0
1
1
none
0
na
0
0
0
0.7
94
0
0
1
1
2
2,021
350
40
male
0
domestic_worker
0
0
0
33.6
19.1
29.4
49
36.1
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
1
0
0
0
8
2,021
351
62
female
0
construction
1
0
0
32.4
18.3
26.3
26
33.7
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.4
96
0
0
0
0
2
2,021
352
28
female
0
subsistence_farmer
1
0
0
33
26.4
31.3
43
35.1
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.5
96
0
0
0
0
7
2,023
353
46
female
0
transport
0
0
0
32.3
21.6
28.3
36
34.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,023
354
20
female
0
student
0
0
0
36.2
29.8
27.1
72
39.8
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,019
355
8
female
0
construction
1
0
0
37.4
25.4
27.4
54
40.1
1
7
1
0
0
0
0
0
none
0
na
0
0
0
0.1
99
0
0
0
0
3
2,022
356
21
female
0
unemployed
1
0
0
31.3
22.6
28.7
56
34.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.4
96
0
0
0
0
12
2,023
357
16
male
0
subsistence_farmer
1
0
0
35.8
27.1
27.6
54
38.5
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0.7
94
0
0
1
0
6
2,022
358
27
male
0
subsistence_farmer
1
0
0
34.1
24.8
30.2
47
36.5
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.1
99
0
0
0
0
2
2,021
359
95
male
1
commercial_farmer
1
1
1
31.8
22.4
25.5
78
35.7
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0.1
99
0
0
0
0
10
2,022
360
23
female
1
student
0
0
0
31.5
18
27.4
58
34.4
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
1
2,023
361
29
female
0
subsistence_farmer
1
0
0
31.6
19.8
26.6
37
33.5
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,023
362
34
male
0
domestic_worker
1
0
0
32.5
20.1
33.6
54
35.2
0
0
0
0
0
1
0
0
none
0
na
0
0
0
2.7
78
0
0
0
0
5
2,023
363
25
male
0
office_indoor
0
0
0
27.9
17.4
28.2
70
31.4
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,023
364
48
female
0
subsistence_farmer
1
0
0
37.1
29.5
24.3
10
37.6
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,023
365
21
female
0
mining
1
0
0
35.8
28.4
29.5
73
39.4
0
0
1
0
1
1
0
0
none
0
na
0
0
0
0.4
96
0
0
0
0
9
2,019
366
40
male
1
domestic_worker
1
0
0
34.5
19.8
27
58
37.4
1
2
0
0
1
1
1
1
none
0
na
0
0
0
0.4
96
0
0
1
1
5
2,022
367
78
male
0
construction
1
0
1
37.4
25.8
27.2
37
39.2
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0.4
96
0
0
0
0
12
2,023
368
67
female
0
factory
1
0
1
30.1
16.6
26.6
71
33.6
0
0
0
0
1
0
1
0
none
0
na
0
0
0
0.3
97
0
0
1
0
4
2,020
369
14
female
1
construction
1
0
0
26.9
19.4
29.8
50
29.4
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0.9
92
0
0
1
0
3
2,023
370
34
male
0
office_indoor
0
0
0
32.7
19.2
35.4
38
34.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,021
371
24
female
0
other
0
0
0
36.5
22
27.6
41
38.5
1
2
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
1
2,023
372
17
female
0
student
0
0
0
29.9
18.1
32.5
55
32.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,020
373
95
male
0
other
0
0
1
36.8
26.2
28.4
55
39.5
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,023
374
59
female
0
domestic_worker
0
0
0
33
18.9
31.6
38
34.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,023
375
26
male
0
subsistence_farmer
0
0
0
34.6
27.3
30.9
46
36.9
0
0
1
0
1
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
7
2,020
376
23
female
1
mining
1
0
0
35.4
27.8
34.1
47
37.8
0
0
1
1
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
1
2,021
377
11
female
0
construction
1
0
0
39.8
33.5
31.8
42
41.9
0
0
1
0
0
0
1
0
none
0
na
0
0
0
2.6
79
0
0
1
0
5
2,022
378
54
male
0
unemployed
0
0
0
32.7
23.5
30.9
58
35.6
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,020
379
24
male
0
domestic_worker
0
0
0
26.4
11.7
34.1
38
28.3
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,023
380
71
male
0
office_indoor
0
0
1
29.8
15.9
29
42
31.9
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,021
381
13
female
0
student
1
0
0
33.7
23.5
32.1
73
37.4
0
0
0
0
1
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
8
2,023
382
18
female
0
transport
1
1
0
37.5
26.8
30.9
47
39.9
0
0
1
0
0
0
0
0
none
0
na
0
0
0
1.2
90
0
0
0
0
8
2,020
383
12
female
0
unemployed
1
0
0
33.4
21.7
23.8
47
35.8
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
5
2,020
384
21
female
0
commercial_farmer
1
0
0
33.6
22.9
32.2
63
36.8
0
0
0
0
0
0
0
0
none
0
na
0
0
0
2.6
79
0
0
1
0
3
2,023
385
18
male
1
market_vendor
0
0
0
30
20.3
26
52
32.6
0
0
0
1
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,019
386
14
male
0
commercial_farmer
1
0
0
36.7
27.8
26
75
40.5
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.1
99
0
0
1
0
4
2,020
387
23
female
0
construction
1
1
0
35.8
30.2
27
75
39.5
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.2
98
1
0
0
0
4
2,022
388
16
male
0
office_indoor
0
0
0
34.4
25.9
25.8
53
37
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,023
389
26
male
0
subsistence_farmer
1
0
0
37.8
29.1
30.8
87
42.1
1
10
1
0
0
1
0
0
none
0
na
0
0
0
0.4
96
0
0
0
0
5
2,021
390
82
female
1
construction
1
0
1
29.4
18.6
26.3
64
32.6
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0.2
98
0
0
0
0
6
2,020
391
11
female
0
student
1
0
0
33.2
21.4
32.2
55
36
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
1
0
1
0
11
2,022
392
18
male
0
student
0
0
0
31
25.9
30.1
53
33.6
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,021
393
37
female
1
market_vendor
1
0
0
30.2
15.8
32.3
57
33
0
0
0
1
1
0
0
0
none
0
na
0
0
0
0.1
99
0
0
0
0
11
2,022
394
29
male
0
domestic_worker
0
0
0
32
22.8
30.2
61
35
0
0
0
0
0
0
1
0
heat_cramps
1
mild
0
0
0
0
100
0
0
0
0
10
2,023
395
27
male
0
office_indoor
0
0
0
34.4
20.5
32.9
48
36.8
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
8
2,021
396
35
male
0
unemployed
1
0
0
33
18.4
29.3
68
36.4
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.9
92
0
0
1
0
10
2,023
397
21
female
1
factory
1
0
0
35.6
23.2
34.6
88
40
0
0
0
1
0
1
1
0
none
0
na
0
0
0
2.8
77
0
0
0
0
7
2,023
398
50
female
0
student
0
0
0
32
20.2
25.8
43
34.1
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,022
399
34
female
0
student
0
0
0
34.4
29.2
29.3
75
38.1
0
0
1
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
5
2,022
400
26
female
1
unemployed
0
1
0
31.9
20.3
28.4
37
33.8
0
0
0
1
1
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,020