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
101
37
male
0
commercial_farmer
1
0
0
33.2
25.5
29.5
66
36.5
0
0
1
0
0
0
1
0
none
0
na
0
0
0
2
84
0
0
1
0
10
2,021
102
95
female
0
student
1
0
1
35.5
22.3
32.1
53
38.1
0
0
0
0
0
0
0
1
none
0
na
0
0
0
1.8
85
1
0
0
0
4
2,022
103
18
female
0
subsistence_farmer
1
0
0
35
25.6
27.7
40
37
0
0
1
0
0
0
0
0
none
0
na
0
0
0
1.5
88
0
0
0
0
4
2,021
104
16
male
1
unemployed
1
0
0
34.5
29.1
28.1
86
38.8
0
0
1
1
0
0
0
1
none
0
na
0
0
0
1.3
89
0
0
1
0
2
2,021
105
30
male
1
commercial_farmer
1
0
0
30.6
20.3
28.6
56
33.4
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0.9
92
0
0
1
0
2
2,022
106
30
female
0
office_indoor
0
0
0
30.7
18.2
27
38
32.6
1
17
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
1
11
2,023
107
18
male
0
office_indoor
0
0
0
34.5
29.1
25
43
36.6
1
8
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
11
2,023
108
19
male
1
construction
1
0
0
32.4
22.4
27.9
61
35.4
1
5
0
1
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
1
5
2,022
109
43
male
0
subsistence_farmer
1
1
0
36.6
28.7
31.9
68
40
0
0
1
0
0
1
1
1
none
0
na
0
0
0
0
100
0
0
1
0
10
2,022
110
30
female
1
student
1
0
0
33.2
21.5
29.9
50
35.7
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,020
111
51
female
1
subsistence_farmer
1
1
0
33.3
18.4
31.1
70
36.8
1
7
0
0
0
1
1
0
none
0
na
0
0
0
0.1
99
0
0
0
0
9
2,023
112
15
male
0
construction
1
0
0
37.7
23
28.1
62
40.8
0
0
0
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
2
2,023
113
7
male
0
factory
0
0
0
35.4
24.5
27.7
65
38.6
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,022
114
15
male
0
transport
0
0
0
35.9
24.5
27.3
42
38
1
2
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
7
2,021
115
42
female
0
domestic_worker
0
1
0
33.3
26.4
34.3
46
35.6
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,022
116
17
male
1
unemployed
0
0
0
30.1
23
31
94
34.8
1
10
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,019
117
14
female
1
commercial_farmer
1
0
0
31.7
21.1
30.7
55
34.5
0
0
0
1
0
0
0
0
none
0
na
0
0
0
0.9
92
0
0
1
0
12
2,022
118
33
male
1
domestic_worker
0
0
0
37.1
29.6
29.6
54
39.8
0
0
1
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
9
2,019
119
34
male
1
factory
0
0
0
34.1
23.1
28.2
45
36.4
1
7
0
0
1
0
0
0
none
0
na
0
0
0
0
100
0
0
0
1
12
2,019
120
11
male
1
subsistence_farmer
1
0
0
31.4
21.9
30.4
58
34.3
0
0
0
0
1
1
0
1
none
0
na
0
0
0
1.2
90
0
0
1
0
8
2,022
121
29
male
1
factory
1
0
0
28
14.1
27.9
23
29.1
0
0
0
1
0
1
0
0
none
0
na
0
0
0
0.4
96
0
0
1
0
12
2,022
122
33
female
1
construction
1
0
0
37.4
23.5
28.8
60
40.4
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0.6
95
0
0
1
0
11
2,023
123
35
female
0
other
0
0
0
28.2
18.7
32.1
59
31.1
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,023
124
47
female
0
factory
0
0
0
27.4
16.6
29
68
30.8
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
9
2,020
125
19
male
0
other
1
0
0
36.4
22.7
30.7
73
40
1
6
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
8
2,023
126
16
male
1
unemployed
1
0
0
31.2
26.1
26.6
52
33.8
0
0
1
1
0
1
0
0
none
0
na
0
0
0
0.1
99
0
0
1
0
4
2,022
127
66
male
0
subsistence_farmer
1
0
1
34.5
28.6
30.1
73
38.1
0
0
1
0
0
0
1
1
none
0
na
0
0
0
0.4
96
0
0
0
0
10
2,019
128
28
female
0
office_indoor
0
0
0
34.2
20
31.1
38
36.1
1
5
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,022
129
31
male
1
subsistence_farmer
1
0
0
36.9
29.7
29.4
46
39.2
0
0
1
0
0
0
1
0
none
0
na
0
0
0
1.7
86
0
0
0
0
5
2,022
130
26
female
0
subsistence_farmer
1
0
0
27.7
19.4
31.9
70
31.2
0
0
0
0
0
0
0
1
dehydration
1
moderate
1
0
0
1.9
84
0
0
0
0
4
2,022
131
48
female
0
office_indoor
0
0
0
30.9
18.5
33.4
67
34.2
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,021
132
17
male
1
transport
1
1
0
33.3
24.5
28.9
46
35.6
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0.1
99
0
0
0
0
4
2,020
133
25
male
0
domestic_worker
0
1
0
38.2
28.6
29.7
34
39.9
0
0
1
0
0
0
0
1
none
0
na
0
0
0
0
100
1
0
0
0
5
2,022
134
12
male
0
subsistence_farmer
1
0
0
38.5
27.3
24.8
92
43.1
1
1
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
1
12
2,022
135
16
male
0
office_indoor
0
0
0
37.3
23.8
29.6
42
39.4
0
0
0
0
1
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
5
2,022
136
15
male
0
unemployed
0
0
0
31
25.1
24.3
56
33.8
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,023
137
35
female
1
unemployed
0
0
0
34.3
29.2
27.3
45
36.5
1
7
1
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,023
138
40
female
0
unemployed
0
0
0
38.8
27.7
33.6
39
40.8
1
3
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,023
139
57
female
0
commercial_farmer
1
1
0
31.8
20.9
33.1
73
35.5
0
0
0
0
0
0
0
0
none
0
na
0
0
0
1.9
84
0
0
1
0
5
2,020
140
25
female
0
transport
1
0
0
33.6
20
25.8
54
36.3
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.3
97
1
0
1
0
8
2,021
141
21
female
0
office_indoor
0
0
0
32.6
18.4
34.7
53
35.2
1
4
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,023
142
95
male
0
subsistence_farmer
1
0
1
32
17.4
30.7
84
36.2
0
0
0
0
0
0
0
0
none
0
na
0
0
0
1.3
89
1
0
0
0
10
2,023
143
51
male
0
domestic_worker
0
0
0
31.4
17.9
25.9
77
35.2
1
1
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,022
144
54
female
1
commercial_farmer
1
0
0
36.8
25.5
26.8
47
39.1
0
0
1
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
8
2,023
145
23
female
1
subsistence_farmer
1
0
0
40.4
34.8
28.3
55
43.1
0
0
1
1
0
1
0
0
none
0
na
0
0
0
0.8
93
0
0
1
0
1
2,022
146
14
male
1
construction
1
1
0
31.6
23.5
26.1
41
33.6
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
9
2,023
147
17
male
0
construction
1
0
0
35.3
27.7
25.8
42
37.4
1
1
1
0
0
0
1
0
none
0
na
0
0
0
0.1
99
0
0
0
0
7
2,019
148
34
female
0
unemployed
0
0
0
35
25.8
29.1
45
37.2
1
1
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,021
149
47
female
0
subsistence_farmer
1
0
0
34.3
22.8
27.5
43
36.4
1
3
0
0
0
1
1
0
none
0
na
0
0
0
0.6
95
0
0
0
0
4
2,020
150
53
male
0
unemployed
0
0
0
35.6
27.9
30.6
60
38.6
0
0
1
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
6
2,021
151
13
male
0
other
1
0
0
29.1
17.7
31.6
48
31.5
0
0
0
0
0
0
1
1
none
0
na
0
0
0
1.3
89
0
0
1
0
3
2,022
152
28
male
1
market_vendor
1
0
0
36.6
26.7
31.5
76
40.4
0
0
1
1
0
1
0
0
none
0
na
0
0
0
1.4
88
1
0
1
0
7
2,019
153
48
female
0
factory
1
1
0
29.5
23.5
26.9
58
32.4
1
3
0
0
0
0
0
0
none
0
na
0
0
0
0.6
95
0
0
0
0
1
2,020
154
74
male
0
unemployed
1
0
1
37.8
24.6
30
13
38.4
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.3
97
1
0
1
0
5
2,022
155
19
female
0
office_indoor
0
0
0
30.8
19.9
25.6
71
34.4
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
1
0
0
0
3
2,022
156
23
male
0
market_vendor
0
0
0
42.3
28.1
30.2
65
45.5
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
1
2,023
157
55
male
1
office_indoor
0
1
0
35.7
25.5
30.5
55
38.5
0
0
1
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,020
158
12
female
1
student
0
0
0
32.3
23.3
29.4
63
35.4
1
4
0
0
0
0
1
0
none
0
na
0
0
0
0
100
1
0
1
0
1
2,022
159
33
male
1
construction
1
0
0
33.9
21.3
28.4
31
35.4
0
0
0
1
1
1
0
0
none
0
na
0
0
0
0.3
97
1
0
0
0
6
2,023
160
28
male
0
student
0
0
0
29.8
15.1
27
39
31.8
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,023
161
13
female
0
office_indoor
0
0
0
34.5
24.5
25.1
54
37.2
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,022
162
30
female
0
transport
1
0
0
34.1
26.3
33.7
66
37.4
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.2
98
0
0
0
0
11
2,020
163
30
male
0
subsistence_farmer
1
0
0
35.9
30.4
28.9
31
37.4
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,020
164
14
male
0
other
1
0
0
37.3
26.8
25.1
50
39.8
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,023
165
61
female
0
student
0
0
0
32.3
24.2
26.6
50
34.8
0
0
0
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
1
0
9
2,023
166
15
male
0
student
0
0
0
29.9
16.8
25.5
45
32.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,023
167
30
male
1
subsistence_farmer
1
0
0
29
17.8
28.7
78
32.9
0
0
0
1
1
1
0
0
none
0
na
0
0
0
0.9
92
0
0
0
0
7
2,023
168
37
female
1
subsistence_farmer
0
0
0
34.7
23.8
26
70
38.2
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
1
0
0
0
5
2,021
169
64
female
1
commercial_farmer
1
1
0
35.2
29.4
29.9
53
37.9
1
1
1
0
0
0
1
0
none
0
na
0
0
0
0.6
95
0
0
1
0
4
2,021
170
22
female
1
transport
1
1
0
40.5
33.8
27.6
28
41.9
0
0
1
1
0
0
1
0
none
0
na
0
0
0
0
100
1
0
0
0
9
2,021
171
19
male
1
market_vendor
0
0
0
35.6
23.8
27.2
60
38.6
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,023
172
44
female
0
factory
0
0
0
32.2
19
29.6
34
33.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
12
2,021
173
65
female
0
commercial_farmer
1
0
1
32.3
26.4
26.7
55
35
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0.2
98
0
0
1
0
4
2,021
174
40
male
0
construction
1
0
0
34.8
21.9
29.2
45
37
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.8
93
0
0
0
0
2
2,023
175
10
male
0
unemployed
1
0
0
29.8
15.2
28.9
41
31.9
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0.4
96
0
0
0
0
5
2,021
176
31
male
1
subsistence_farmer
1
0
0
33.8
22.5
30.7
69
37.2
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0.1
99
0
0
0
0
10
2,022
177
23
male
0
domestic_worker
1
0
0
30.7
19.5
30.6
96
35.5
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.1
99
0
0
0
0
8
2,022
178
26
female
0
commercial_farmer
1
0
0
33.9
25.2
28.8
72
37.5
0
0
1
0
0
0
0
1
none
0
na
0
0
0
0.7
94
0
0
1
0
12
2,021
179
38
male
0
mining
1
0
0
37.1
30.9
26
50
39.6
1
7
1
0
1
0
0
0
none
0
na
0
0
0
0
100
0
1
0
0
12
2,021
180
25
female
0
domestic_worker
0
0
0
30.5
21.5
28.8
61
33.5
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,023
181
25
male
0
market_vendor
1
0
0
32.2
21.8
29.6
58
35.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.7
94
0
0
1
0
11
2,022
182
14
male
1
mining
1
0
0
32.7
22.7
31.2
42
34.8
0
0
0
1
0
1
0
0
none
0
na
0
0
0
0.8
93
0
0
1
0
12
2,023
183
15
male
0
other
0
0
0
33.9
25.7
29
39
35.9
0
0
1
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
3
2,022
184
64
male
1
subsistence_farmer
1
0
0
31.8
25.9
27.2
36
33.6
0
0
1
1
1
1
1
0
none
0
na
0
0
0
0.1
99
0
0
1
0
5
2,020
185
26
male
0
construction
1
0
0
28.5
15
35.1
47
30.9
0
0
0
0
0
1
1
0
none
0
na
0
0
0
1.8
85
0
0
1
0
7
2,022
186
30
male
1
office_indoor
0
0
0
29.8
15.8
29.9
71
33.4
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,021
187
59
male
0
market_vendor
0
1
0
30.8
21
28.8
48
33.2
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,021
188
23
male
0
other
0
0
0
29.9
23.7
29.5
58
32.8
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,022
189
14
male
0
construction
1
0
0
30.3
19.9
26.4
50
32.8
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
7
2,022
190
65
female
1
factory
0
0
1
34.1
28.1
30.7
80
38.1
0
0
1
1
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,021
191
17
female
0
unemployed
0
0
0
31.6
21.4
30.5
44
33.8
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
11
2,023
192
27
male
0
subsistence_farmer
1
0
0
32.7
27.4
27.6
63
35.9
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.3
97
0
0
1
0
6
2,020
193
33
male
0
market_vendor
1
0
0
32.3
23.3
28.6
76
36.1
0
0
0
0
0
0
1
0
none
0
na
0
0
0
1
92
0
0
0
0
11
2,023
194
29
female
0
unemployed
0
0
0
33.2
27.5
26
63
36.4
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,020
195
45
male
0
office_indoor
0
0
0
34.7
25.2
30.4
42
36.8
0
0
1
0
0
1
0
1
none
0
na
0
0
0
0
100
1
0
0
0
8
2,020
196
28
male
1
commercial_farmer
1
0
0
30.7
20.1
28.8
39
32.6
1
3
0
0
1
1
1
0
none
0
na
0
0
0
0.6
95
0
0
1
0
9
2,021
197
11
male
1
student
0
0
0
31.3
21
32.3
70
34.8
1
8
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,023
198
19
female
1
subsistence_farmer
1
0
0
30.6
18.6
29.2
33
32.2
0
0
0
1
0
1
0
0
none
0
na
0
0
0
1.1
91
1
0
1
0
2
2,022
199
18
male
0
transport
0
0
0
27
14.9
34.3
75
30.8
1
1
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
1
7
2,023
200
38
female
1
student
0
0
0
29.4
22.4
30
60
32.4
0
0
0
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
1
0
1
2,019