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
1,101
16
male
1
subsistence_farmer
1
0
0
31.8
20.1
31.5
61
34.9
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0.5
96
0
0
1
0
12
2,022
1,102
39
female
0
subsistence_farmer
1
0
0
36.4
24
29.9
89
40.9
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
9
2,023
1,103
40
female
0
construction
1
0
0
33.5
25.7
30.8
62
36.6
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.4
96
0
0
1
0
5
2,020
1,104
43
male
0
office_indoor
0
0
0
31.3
25.2
32.4
82
35.4
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,020
1,105
38
male
0
unemployed
0
1
0
32
19
30
64
35.2
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,020
1,106
9
male
1
subsistence_farmer
1
0
0
30
21.2
31.2
59
33
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.9
92
0
0
1
0
7
2,019
1,107
22
female
0
domestic_worker
1
0
0
29.5
24.3
31.7
51
32
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0.8
93
0
0
1
0
5
2,022
1,108
22
female
1
domestic_worker
0
0
0
36.5
28.1
28.7
46
38.8
0
0
1
0
0
1
1
1
none
0
na
0
0
0
0
100
0
0
1
0
7
2,022
1,109
37
female
0
subsistence_farmer
1
0
0
33.6
19.7
30.8
58
36.5
1
1
0
0
0
1
0
0
none
0
na
0
0
0
0.6
95
0
0
1
0
12
2,019
1,110
34
female
0
other
0
0
0
31.1
23.3
30.7
50
33.6
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,021
1,111
10
male
0
student
0
0
0
37.1
25
28.2
53
39.8
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,019
1,112
21
male
0
unemployed
1
0
0
35.3
26.5
26.3
62
38.4
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,023
1,113
30
male
1
transport
0
0
0
27.5
18
31.7
51
30.1
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,019
1,114
55
female
1
commercial_farmer
1
1
0
36.8
31.5
35.2
58
39.7
0
0
1
1
0
1
1
0
none
0
na
0
0
0
2.9
76
0
0
0
0
10
2,022
1,115
59
male
0
factory
1
0
0
27.8
16.8
31.3
34
29.5
1
1
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,023
1,116
19
female
0
domestic_worker
0
0
0
38.6
25.8
31.3
41
40.6
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,023
1,117
66
male
0
subsistence_farmer
1
0
1
31
23.7
29.1
53
33.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
1
92
0
0
1
0
6
2,022
1,118
44
female
0
domestic_worker
1
1
0
34.5
20.9
30.6
85
38.8
0
0
0
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
1
0
4
2,023
1,119
49
male
0
commercial_farmer
1
1
0
36
21.8
28.8
75
39.8
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.4
96
0
0
0
0
5
2,020
1,120
28
male
0
office_indoor
0
0
0
33.5
22.6
28.2
65
36.8
1
2
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
4
2,023
1,121
33
male
0
unemployed
0
0
0
31.5
22.4
29.4
49
34
0
0
0
0
0
0
1
0
heat_cramps
1
severe
1
1
0
0
100
0
0
1
0
8
2,021
1,122
17
male
1
commercial_farmer
0
0
0
32.5
25.4
29.6
83
36.6
0
0
1
0
1
0
1
0
none
0
na
0
0
0
0
100
1
0
0
0
4
2,023
1,123
30
female
0
commercial_farmer
1
0
0
31.8
21.3
34.4
43
34
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,021
1,124
47
male
1
transport
1
0
0
36.1
29.1
29.8
58
39
0
0
1
1
1
1
1
1
none
0
na
0
0
0
0
100
0
0
0
0
7
2,021
1,125
95
male
1
other
0
0
1
33.3
20.6
31.9
38
35.2
0
0
0
1
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
6
2,019
1,126
35
female
0
student
0
0
0
29.4
15.6
28.1
18
30.3
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
1
0
0
0
10
2,023
1,127
22
female
1
market_vendor
1
0
0
33.4
24.3
29
50
35.9
0
0
0
1
0
0
1
0
none
0
na
0
0
0
1
92
0
0
1
0
6
2,022
1,128
23
female
0
commercial_farmer
1
0
0
32.9
23.5
30.6
70
36.4
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.4
96
0
0
0
0
5
2,021
1,129
49
male
0
other
1
0
0
36.4
26.4
31.8
74
40.1
0
0
1
0
0
1
1
0
none
0
na
0
0
0
1.7
86
0
0
1
0
4
2,022
1,130
34
male
0
subsistence_farmer
1
0
0
34.1
23.6
28.9
65
37.4
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.1
99
0
0
1
0
11
2,023
1,131
19
female
0
market_vendor
1
0
0
31.2
18.2
27.4
38
33.1
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0.1
99
0
0
0
0
6
2,022
1,132
21
female
0
subsistence_farmer
1
0
0
35.2
24.4
24.6
53
37.9
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
5
2,023
1,133
34
female
0
other
1
0
0
29.8
15.8
22.3
59
32.8
0
0
0
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
3
2,020
1,134
29
male
0
subsistence_farmer
1
0
0
33.1
24
29.4
63
36.2
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.2
98
1
0
1
0
3
2,019
1,135
69
male
0
commercial_farmer
1
0
1
36.4
21.7
28.6
50
38.9
0
0
0
0
0
1
1
1
none
0
na
0
0
0
0.4
96
0
0
1
0
10
2,022
1,136
24
male
0
construction
1
0
0
33.7
19.2
28.3
75
37.5
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.8
93
0
0
1
0
3
2,019
1,137
34
male
1
office_indoor
0
0
0
37.1
30.5
27.1
39
39.1
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
9
2,023
1,138
17
female
0
office_indoor
0
1
0
29.8
24.5
25.1
62
32.9
1
1
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,023
1,139
43
female
1
commercial_farmer
1
0
0
37.7
24.3
27.1
98
42.6
1
5
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,023
1,140
30
female
0
subsistence_farmer
1
0
0
37.2
25.2
28.3
54
39.9
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,023
1,141
95
male
0
market_vendor
0
0
1
32.2
22.2
30.3
38
34.1
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,022
1,142
37
male
1
student
0
1
0
35.2
20.9
29.9
15
36
0
0
0
1
1
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,019
1,143
51
female
1
student
0
1
0
31.7
22.2
30.9
78
35.6
0
0
0
1
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
12
2,021
1,144
28
male
0
subsistence_farmer
1
0
0
29.6
17.9
29.7
30
31.1
0
0
0
0
0
0
1
0
none
0
na
0
0
0
1.3
89
0
0
0
0
4
2,021
1,145
24
male
0
subsistence_farmer
1
0
0
38
26.9
28.6
48
40.4
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0.5
96
0
0
1
0
7
2,019
1,146
13
female
0
student
0
1
0
32.9
23.4
26.8
44
35.1
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,023
1,147
47
female
1
mining
0
0
0
32.9
19.9
30.2
64
36.1
0
0
0
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
3
2,023
1,148
14
female
0
commercial_farmer
1
1
0
30.7
24.1
26.5
84
34.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.3
97
0
0
0
0
9
2,020
1,149
7
male
0
subsistence_farmer
0
0
0
33.6
21.3
29.3
75
37.4
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,023
1,150
38
female
0
transport
0
0
0
32.2
24.5
32.8
61
35.2
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
11
2,023
1,151
14
female
1
domestic_worker
0
1
0
32.6
24.7
30.3
61
35.6
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
1
0
1
0
2
2,023
1,152
13
male
1
unemployed
1
0
0
31.7
26.1
31.6
53
34.4
0
0
1
1
1
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
2
2,023
1,153
34
male
0
factory
1
0
0
29.9
20
30.5
13
30.5
0
0
0
0
0
1
1
0
none
0
na
0
0
0
1.3
89
0
0
0
0
12
2,022
1,154
69
female
1
subsistence_farmer
1
0
1
36.7
28.1
28.9
62
39.8
0
0
1
1
0
1
0
0
none
0
na
0
0
0
0.6
95
0
0
1
0
6
2,021
1,155
20
female
0
commercial_farmer
1
0
0
31.1
21.8
32.3
61
34.1
0
0
0
0
0
0
1
0
none
0
na
0
0
0
1.9
84
0
0
1
0
10
2,022
1,156
13
male
1
domestic_worker
0
0
0
38.1
25.2
27.7
50
40.6
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
7
2,020
1,157
37
male
0
office_indoor
0
0
0
38.2
31.6
32
58
41.1
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
1
0
11
2,020
1,158
29
female
0
student
0
0
0
31.5
18.5
32.9
59
34.5
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
7
2,023
1,159
32
male
1
student
1
0
0
32
21.6
28.5
62
35.1
0
0
0
1
0
0
1
0
none
0
na
0
0
0
1
92
0
0
1
0
1
2,019
1,160
54
male
0
office_indoor
1
0
0
33.5
27.4
24.1
48
35.9
1
6
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
1
5
2,019
1,161
17
male
0
subsistence_farmer
1
0
0
31.4
18.8
29.7
39
33.4
0
0
0
0
0
0
1
1
none
0
na
0
0
0
1.1
91
0
0
0
0
9
2,019
1,162
37
female
1
mining
1
0
0
32.7
23.7
27
85
37
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.7
94
0
0
0
0
10
2,020
1,163
40
female
0
market_vendor
1
0
0
33.4
24.4
27.2
47
35.8
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.3
97
0
0
0
0
8
2,022
1,164
91
male
0
subsistence_farmer
1
0
1
31.2
25
26.2
59
34.1
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.7
94
0
0
1
0
3
2,023
1,165
41
female
0
subsistence_farmer
1
0
0
38.9
31.8
29.1
55
41.6
0
0
1
0
0
0
1
0
none
0
na
0
0
0
1
92
0
0
0
0
4
2,023
1,166
29
male
1
other
1
0
0
34.2
27.7
35.7
41
36.2
1
1
1
0
0
1
1
0
none
0
na
0
0
0
0.8
93
0
0
0
0
7
2,021
1,167
7
female
0
construction
1
0
0
32.6
21.1
29.7
60
35.6
0
0
0
0
0
1
0
1
none
0
na
0
0
0
0.2
98
0
0
0
0
7
2,021
1,168
25
female
0
mining
1
0
0
34.1
22.1
29.7
65
37.4
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.3
97
0
0
1
0
7
2,021
1,169
17
male
0
unemployed
0
0
0
32.5
26.5
32.6
67
35.9
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,021
1,170
24
female
0
market_vendor
1
0
0
28.1
20.2
28.3
57
31
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.2
98
0
0
0
0
10
2,023
1,171
16
female
0
student
0
0
0
33.5
27.3
29.5
77
37.4
0
0
1
0
1
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
4
2,019
1,172
39
female
0
subsistence_farmer
1
0
0
33.9
27.6
28.6
59
36.9
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0.5
96
1
0
0
0
9
2,022
1,173
72
male
1
student
0
0
1
36.9
22.1
27.9
45
39.1
1
1
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,022
1,174
95
male
0
mining
1
0
1
30
17.2
24
33
31.6
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
11
2,019
1,175
39
female
0
unemployed
0
0
0
33.6
28.3
29.4
45
35.9
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,023
1,176
41
female
1
student
0
0
0
40.1
26.8
26.6
50
42.6
0
0
1
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
1
2,023
1,177
95
female
1
factory
0
0
1
35
29.5
32.5
75
38.8
0
0
1
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,023
1,178
26
male
1
factory
0
0
0
34.1
19.7
26.2
48
36.5
0
0
0
0
1
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
11
2,022
1,179
15
male
0
student
1
0
0
31.9
23.4
27.9
24
33.1
1
2
0
0
0
1
1
0
none
0
na
0
0
0
0.7
94
0
1
0
0
6
2,023
1,180
17
male
0
subsistence_farmer
1
0
0
35.4
26.1
30.9
56
38.2
0
0
1
0
0
0
0
0
dehydration
1
mild
0
0
0
2.4
80
1
0
1
0
5
2,023
1,181
34
male
0
domestic_worker
1
0
0
31.1
21.2
24.4
30
32.6
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
8
2,021
1,182
36
male
0
construction
1
0
0
32.5
19.4
27.5
57
35.4
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,022
1,183
45
female
0
construction
1
0
0
33.5
24.8
31.3
67
36.9
0
0
0
0
0
1
0
0
none
0
na
0
0
0
3.1
75
0
0
1
0
7
2,019
1,184
47
female
1
domestic_worker
0
0
0
32.5
24.7
30.7
70
36
1
2
0
1
1
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
12
2,019
1,185
35
female
0
commercial_farmer
1
0
0
27.9
21.3
28.7
73
31.5
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.5
96
0
0
1
0
1
2,020
1,186
9
male
1
transport
0
0
0
39.4
31.6
29
61
42.4
1
13
1
1
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,021
1,187
95
male
0
construction
1
0
1
33
18.1
29.6
66
36.3
1
4
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
1
2
2,023
1,188
34
male
0
construction
1
0
0
29.6
16.7
29.5
69
33.1
1
4
0
0
0
0
1
0
dehydration
1
mild
0
0
0
1.7
86
1
0
0
0
9
2,020
1,189
12
male
1
construction
1
0
0
34
28.9
27.4
51
36.5
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0.3
97
0
0
0
0
11
2,022
1,190
39
male
1
domestic_worker
0
1
0
32.9
22.5
28.1
41
34.9
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,019
1,191
27
female
1
market_vendor
0
0
0
36.5
26.8
29.8
59
39.5
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
8
2,020
1,192
18
female
1
market_vendor
0
1
0
29.6
23
25.8
52
32.2
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
3
2,022
1,193
10
female
0
construction
1
0
0
32.6
19.6
27.5
54
35.3
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.4
96
0
0
0
0
11
2,023
1,194
20
female
0
student
0
0
0
37.3
31.7
31
56
40.1
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
5
2,020
1,195
27
female
0
market_vendor
0
0
0
37.4
28.5
24.7
67
40.8
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,023
1,196
26
male
1
student
0
0
0
31.8
19.5
29.4
36
33.6
0
0
0
1
1
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,021
1,197
25
female
0
market_vendor
0
0
0
37
29.5
27.7
46
39.3
0
0
1
0
0
1
1
1
none
0
na
0
0
0
0
100
0
0
1
0
10
2,023
1,198
39
male
0
subsistence_farmer
1
0
0
30.8
18.9
26.5
38
32.7
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0.2
98
0
0
1
0
10
2,021
1,199
11
male
0
student
0
1
0
30.5
18.7
27.8
57
33.4
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
11
2,019
1,200
28
female
0
student
0
1
0
31.6
19
32
98
36.5
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,022