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
1,201
33
male
0
student
0
0
0
33.6
20.9
24.2
44
35.8
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
11
2,022
1,202
35
female
1
commercial_farmer
1
0
0
33.6
23.3
27
30
35.1
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.5
96
0
0
0
0
3
2,021
1,203
27
female
0
subsistence_farmer
1
1
0
31.5
19.9
28.6
37
33.4
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.1
99
0
0
0
0
3
2,021
1,204
20
male
1
other
1
0
0
32.3
19.4
32.5
49
34.8
0
0
0
0
0
1
1
1
none
0
na
0
0
0
0.4
96
0
0
0
0
10
2,023
1,205
53
male
0
subsistence_farmer
1
0
0
28.5
16.1
26.8
32
30.1
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.3
97
0
0
0
0
4
2,019
1,206
47
male
0
commercial_farmer
1
0
0
40.2
25.7
27.2
63
43.4
0
0
1
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
4
2,021
1,207
18
female
1
factory
0
0
0
39.7
27.9
29.3
67
43.1
0
0
1
1
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,022
1,208
20
male
1
student
0
0
0
29.5
15.8
29.2
75
33.2
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,023
1,209
22
female
0
unemployed
0
0
0
34.5
24.5
27.4
53
37.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
2
2,022
1,210
38
male
0
subsistence_farmer
1
0
0
35.2
20.8
25.1
60
38.2
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,020
1,211
48
male
1
market_vendor
1
0
0
32.2
25.8
22.4
49
34.7
0
0
1
1
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
3
2,021
1,212
64
female
0
domestic_worker
1
0
0
26.7
16.9
26.8
42
28.8
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.1
99
0
0
1
0
5
2,022
1,213
49
male
1
construction
1
0
0
37.2
23.6
31
60
40.2
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,023
1,214
37
male
1
construction
1
1
0
29.8
16
30.6
56
32.6
0
0
0
0
0
0
1
1
none
0
na
0
0
0
1.1
91
0
0
1
0
11
2,021
1,215
37
female
1
commercial_farmer
1
0
0
32.9
26.7
31.5
64
36.1
0
0
1
0
0
0
1
0
none
0
na
0
0
0
1.5
88
0
0
0
0
4
2,019
1,216
20
male
0
student
0
0
0
33.2
25
31.6
63
36.4
0
0
0
0
0
1
1
0
dehydration
1
moderate
1
0
0
0
100
1
0
0
0
12
2,020
1,217
16
male
0
domestic_worker
0
0
0
34.8
29.5
29.9
56
37.6
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,021
1,218
39
female
0
office_indoor
0
0
0
33.4
22.2
25.9
53
36
0
0
0
0
0
1
1
1
none
0
na
0
0
0
0
100
1
0
1
0
11
2,022
1,219
33
male
1
office_indoor
0
0
0
32.6
19.4
26.8
44
34.8
0
0
0
0
1
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,020
1,220
23
male
0
commercial_farmer
1
0
0
34.7
20.3
27.1
44
36.9
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.4
96
0
0
1
0
1
2,022
1,221
63
male
0
commercial_farmer
1
0
0
29.6
19.8
27.2
64
32.8
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.3
97
0
0
1
0
4
2,022
1,222
31
male
0
subsistence_farmer
0
0
0
32.1
20.6
25.7
65
35.4
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,023
1,223
13
female
0
construction
1
0
0
29.1
23.8
26.8
73
32.8
1
1
0
0
0
1
0
1
none
0
na
0
0
0
0.3
97
0
0
0
0
11
2,021
1,224
95
male
0
subsistence_farmer
1
0
1
31.5
20.9
25.3
71
35
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.2
98
0
0
0
0
4
2,020
1,225
21
female
1
market_vendor
1
0
0
34.9
29
34.9
39
36.9
0
0
1
0
0
0
0
0
none
0
na
0
0
0
1.6
87
0
0
0
0
6
2,023
1,226
23
male
0
factory
0
0
0
34.9
27.9
27.9
71
38.4
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,021
1,227
18
male
0
transport
1
0
0
27.2
22
28.7
51
29.8
1
2
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
12
2,022
1,228
46
female
0
domestic_worker
0
0
0
37.6
23.2
29.3
14
38.3
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,023
1,229
23
male
0
office_indoor
0
0
0
34.7
20.8
31.5
51
37.2
0
0
0
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
4
2,022
1,230
16
female
1
market_vendor
1
0
0
32.1
23.2
31.3
61
35.1
0
0
0
0
1
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,022
1,231
14
female
0
commercial_farmer
1
0
0
36.5
23.1
27.8
65
39.8
0
0
0
0
0
0
1
0
none
0
na
0
0
0
1.4
88
0
0
0
0
1
2,022
1,232
12
female
1
construction
1
0
0
31.3
18.5
29.2
58
34.2
0
0
0
1
0
1
1
1
none
0
na
0
0
0
1
92
0
0
1
0
2
2,022
1,233
18
female
0
student
0
0
0
22.8
12.1
30.4
66
26.1
0
0
0
0
1
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,022
1,234
9
male
0
subsistence_farmer
1
0
0
28.7
19.2
25.8
74
32.4
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,021
1,235
26
female
1
unemployed
0
0
0
36.6
23.7
34.9
55
39.4
0
0
0
1
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,021
1,236
49
female
0
student
0
0
0
36.3
28.6
24.5
62
39.4
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
1
2,021
1,237
68
female
0
office_indoor
0
0
1
34.2
24.2
33.6
49
36.7
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
11
2,023
1,238
16
male
0
construction
0
0
0
34.1
22.2
27.4
55
36.9
1
11
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,022
1,239
55
female
0
market_vendor
0
0
0
34.8
27.5
24.5
38
36.7
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,023
1,240
15
female
0
office_indoor
0
0
0
37.7
24.1
32.2
49
40.2
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,023
1,241
69
female
0
market_vendor
1
0
1
33.7
25.3
27.5
39
35.7
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.6
95
0
0
1
0
3
2,023
1,242
34
female
0
construction
1
0
0
36.3
27
29.8
37
38.1
0
0
1
0
0
0
1
0
none
0
na
0
0
0
2.2
82
0
0
1
0
7
2,021
1,243
59
male
1
student
0
0
0
37.9
28.3
28.5
67
41.2
0
0
1
1
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
11
2,023
1,244
18
male
0
subsistence_farmer
1
0
0
26.9
17.5
31.7
62
30
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,022
1,245
20
male
0
factory
1
0
0
31.2
25.5
29.1
43
33.4
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0.9
92
0
0
1
0
8
2,023
1,246
30
female
1
office_indoor
0
0
0
32.2
18.2
29.1
62
35.3
0
0
0
1
0
1
1
1
none
0
na
0
0
0
0
100
1
0
1
0
5
2,021
1,247
61
male
0
subsistence_farmer
1
1
0
30.7
19.5
27.3
65
34
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
1
2,023
1,248
43
male
0
market_vendor
1
0
0
35
24.4
29.3
50
37.5
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,022
1,249
30
female
0
subsistence_farmer
1
0
0
31.6
26.3
30
42
33.7
1
3
1
0
0
0
1
0
none
0
na
0
0
0
0.3
97
0
0
1
0
12
2,021
1,250
54
male
1
construction
0
1
0
29.9
22.7
30.9
43
32
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,022
1,251
22
female
0
domestic_worker
0
0
0
33.3
25
26.6
52
35.9
1
4
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,021
1,252
21
female
0
student
1
0
0
29.1
20
24.6
44
31.3
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
11
2,020
1,253
49
male
1
commercial_farmer
1
0
0
37
26.3
27.1
68
40.4
1
3
1
1
1
0
0
0
none
0
na
0
0
0
0.7
94
1
1
0
0
8
2,022
1,254
11
male
1
commercial_farmer
1
0
0
37.2
28.2
30.9
62
40.3
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0.4
96
0
0
0
0
10
2,022
1,255
41
male
0
factory
1
0
0
35
30
27.1
36
36.8
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0.3
97
0
0
0
0
1
2,021
1,256
24
male
0
subsistence_farmer
1
0
0
36.3
26
29.1
40
38.3
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0.8
93
0
0
0
0
5
2,021
1,257
35
male
1
commercial_farmer
1
0
0
36.4
25.4
34.4
66
39.7
0
0
1
0
0
0
0
0
none
0
na
0
0
0
1.8
85
0
0
0
0
10
2,023
1,258
23
female
1
domestic_worker
0
0
0
28
17.9
33.1
42
30.1
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
8
2,021
1,259
43
female
0
construction
1
0
0
31.1
17.9
33.2
33
32.8
1
1
0
0
0
0
0
0
none
0
na
0
0
0
2.2
82
0
0
0
0
6
2,020
1,260
38
female
0
student
0
0
0
30.7
20.5
35.9
67
34
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
1
2,022
1,261
48
female
0
commercial_farmer
1
0
0
36.7
25.9
27.6
28
38.1
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,023
1,262
28
male
0
office_indoor
0
0
0
36.4
24.6
33.5
39
38.4
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,023
1,263
29
female
0
other
1
0
0
31.6
21.4
28
62
34.7
0
0
0
0
0
0
1
0
none
0
na
0
0
0
1.3
89
0
0
1
0
10
2,022
1,264
17
male
0
office_indoor
0
0
0
30.7
24.9
28
67
34
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,023
1,265
41
male
1
subsistence_farmer
1
0
0
33.6
28.5
29.6
48
36
0
0
1
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,021
1,266
22
male
0
other
1
0
0
32
23.8
25.5
60
35
1
1
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
9
2,023
1,267
47
male
0
factory
0
0
0
35.6
28.7
32
40
37.6
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
1
2,022
1,268
48
female
1
mining
1
0
0
30.1
22.8
30.1
74
33.8
0
0
0
1
0
0
0
0
none
0
na
0
0
0
1.3
89
0
0
0
0
12
2,023
1,269
43
male
1
factory
0
0
0
33.9
19.6
31.5
68
37.3
0
0
0
1
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
4
2,022
1,270
21
male
1
domestic_worker
0
0
0
30.2
24.7
28.3
63
33.4
0
0
0
1
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
8
2,022
1,271
54
male
0
domestic_worker
1
1
0
34.6
23.9
28.5
45
36.9
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,023
1,272
86
male
1
factory
0
0
1
30.9
20.1
28.2
46
33.2
0
0
0
1
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
11
2,023
1,273
71
female
0
unemployed
0
0
1
31.9
25.4
26.4
37
33.8
0
0
1
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
11
2,022
1,274
19
female
0
domestic_worker
0
0
0
36.6
26
28
21
37.6
1
5
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
1
12
2,022
1,275
13
male
0
construction
1
0
0
30.8
25
27.2
71
34.4
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
2
2,021
1,276
40
male
1
other
1
0
0
32.8
23.1
28.5
50
35.3
0
0
0
1
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,021
1,277
53
male
0
market_vendor
0
1
0
34.2
23.9
34.9
70
37.7
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
9
2,023
1,278
19
male
1
student
0
0
0
38.1
26.7
28.6
27
39.5
1
3
1
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
3
2,021
1,279
95
male
0
subsistence_farmer
1
0
1
33.8
28.6
29.2
48
36.2
0
0
1
0
0
0
1
0
none
0
na
0
0
0
2.2
82
0
0
1
0
7
2,021
1,280
60
female
0
market_vendor
1
1
0
37.6
24.6
32.9
58
40.5
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.4
96
0
0
1
0
3
2,021
1,281
21
female
0
domestic_worker
0
1
0
30.9
16.1
34.6
51
33.4
0
0
0
0
1
0
0
1
none
0
na
0
0
0
0
100
1
0
0
0
4
2,020
1,282
29
male
1
student
0
0
0
38.7
33.1
24.4
38
40.6
0
0
1
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,021
1,283
24
male
1
construction
1
0
0
35.2
23.9
29.3
53
37.9
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0.1
99
0
0
1
0
7
2,023
1,284
63
female
0
subsistence_farmer
0
0
0
34.8
25.2
30.7
73
38.4
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,023
1,285
22
female
0
construction
1
1
0
28.9
21.3
25.2
58
31.8
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
1
0
1
0
6
2,021
1,286
19
female
1
subsistence_farmer
1
0
0
35.5
24.6
30.7
36
37.3
0
0
0
1
0
1
0
0
none
0
na
0
0
0
0.6
95
0
0
1
0
10
2,022
1,287
18
female
0
factory
0
0
0
29.3
20.9
29.3
58
32.2
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
4
2,023
1,288
50
male
0
factory
0
0
0
38.4
29.5
25.6
82
42.5
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,023
1,289
73
male
0
student
0
0
1
28.4
20.8
29.8
57
31.2
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,022
1,290
32
male
0
office_indoor
0
0
0
35.3
20.5
31.3
77
39.1
0
0
0
0
0
0
0
0
cvd_exacerbation
1
moderate
0
0
0
0
100
0
0
1
0
3
2,023
1,291
17
female
0
student
1
0
0
37.6
29
31.5
46
39.9
0
0
1
0
0
0
0
0
none
0
na
0
0
0
4.4
64
0
0
1
0
4
2,021
1,292
46
female
0
market_vendor
1
0
0
28.9
21.9
32.6
36
30.7
0
0
0
0
0
1
1
0
none
0
na
0
0
0
2.6
79
0
0
1
0
7
2,019
1,293
16
male
1
commercial_farmer
1
0
0
37.4
22.9
30.9
77
41.2
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0.9
92
0
0
1
0
6
2,023
1,294
58
male
0
commercial_farmer
1
0
0
33.1
22.2
29.9
55
35.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
1.2
90
0
0
1
0
8
2,021
1,295
42
male
1
subsistence_farmer
1
1
0
32.9
24.2
29.4
63
36
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,023
1,296
45
male
0
office_indoor
0
0
0
31.2
18.2
30.6
74
34.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
8
2,022
1,297
48
male
1
subsistence_farmer
1
0
0
33
22.6
32.7
68
36.4
0
0
0
0
0
1
1
0
none
0
na
0
0
0
2.8
77
0
0
0
0
4
2,023
1,298
26
male
0
construction
1
0
0
28.9
18.3
28.4
74
32.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.4
96
0
0
0
0
4
2,022
1,299
40
female
0
transport
0
0
0
35.8
21.9
27.5
52
38.4
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,022
1,300
34
male
0
student
0
0
0
35.7
29.4
34.1
95
40.5
0
0
1
0
0
1
1
1
none
0
na
0
0
0
0
100
0
0
1
0
5
2,020