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
201
28
female
1
subsistence_farmer
1
0
0
29.9
15.4
29.6
54
32.6
0
0
0
0
0
1
1
1
none
0
na
0
0
0
0
100
0
0
1
0
6
2,023
202
68
female
0
other
0
1
1
35.6
24.7
27.8
43
37.8
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
11
2,019
203
26
male
1
mining
0
0
0
31.6
25.1
33.2
44
33.8
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,023
204
75
male
1
mining
1
0
1
33
19.2
29.6
86
37.3
1
3
0
1
0
0
1
1
heatstroke
1
severe
1
1
0
2.6
79
0
0
1
1
4
2,019
205
53
female
0
construction
1
0
0
37.6
30.2
30.4
42
39.7
1
1
1
0
0
0
1
0
none
0
na
0
0
0
0.3
97
0
1
0
0
8
2,022
206
26
male
1
transport
1
0
0
35.5
26.4
27.9
84
39.7
0
0
1
1
0
0
0
0
none
0
na
0
0
0
0.3
97
0
0
1
0
6
2,022
207
16
male
0
other
0
0
0
31.6
24.2
33.9
59
34.6
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,021
208
16
male
0
student
1
0
0
30
20.4
28.9
48
32.4
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.4
96
0
0
1
0
4
2,021
209
19
female
1
subsistence_farmer
1
0
0
37.1
24.8
30.9
33
38.8
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0.7
94
1
0
0
0
11
2,020
210
85
male
1
other
0
0
1
34
19.2
28.9
39
36
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
1
2,023
211
95
male
1
student
1
0
1
32.8
27.4
27.5
69
36.2
0
0
1
0
0
1
0
1
none
0
na
0
0
0
1
92
0
0
1
0
8
2,023
212
22
female
0
student
0
0
0
33.7
19.9
27.4
80
37.7
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
8
2,023
213
9
female
0
construction
1
0
0
35.4
20.7
33
66
38.7
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0.1
99
0
0
1
0
12
2,022
214
25
male
0
student
0
0
0
32.6
24.9
31.6
37
34.5
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
1
2,022
215
18
male
0
unemployed
1
0
0
27.4
14
30.4
55
30.1
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0.1
99
0
0
0
0
6
2,019
216
36
male
0
construction
1
0
0
34.9
26.8
29.8
51
37.4
0
0
1
0
0
1
1
1
none
0
na
0
0
0
0
100
1
0
0
0
9
2,023
217
14
male
0
student
0
0
0
25.7
13.4
30.9
49
28.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,020
218
47
male
0
subsistence_farmer
1
0
0
35.3
24.2
28.1
59
38.2
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0.3
97
0
0
0
0
2
2,021
219
23
male
0
market_vendor
1
0
0
38
30.6
26.5
95
42.8
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0.3
97
0
0
1
0
1
2,021
220
11
female
1
subsistence_farmer
1
0
0
23.6
9.4
27.8
45
25.9
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,020
221
37
female
1
subsistence_farmer
1
1
0
31.1
21.8
24.9
49
33.6
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
8
2,022
222
32
male
0
construction
1
0
0
29.7
16.3
29.3
45
31.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.1
99
0
0
0
0
6
2,022
223
28
female
0
subsistence_farmer
1
0
0
35.4
24.9
24.5
59
38.4
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
4
2,022
224
73
male
0
subsistence_farmer
1
1
1
30.3
16.5
28.1
58
33.2
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.2
98
0
0
0
0
10
2,020
225
19
female
0
factory
1
0
0
32.7
18.8
28.5
58
35.6
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.7
94
0
0
0
0
7
2,022
226
47
male
0
market_vendor
1
0
0
37.8
26.8
29.9
40
39.8
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0.3
97
0
0
1
0
9
2,022
227
14
male
0
student
0
0
0
33.9
20.1
25.1
35
35.6
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
5
2,023
228
47
female
0
market_vendor
1
0
0
33
23.3
27.8
35
34.8
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.3
97
0
0
1
0
5
2,023
229
27
male
0
subsistence_farmer
1
0
0
31.2
18.2
27.4
48
33.6
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,021
230
57
male
1
mining
1
1
0
32.9
24.2
31.3
64
36.1
0
0
0
0
1
1
0
0
none
0
na
0
0
0
1.9
84
0
0
0
0
11
2,023
231
12
male
1
construction
1
0
0
30.3
16.1
34.4
56
33.1
0
0
0
0
0
0
1
1
none
0
na
0
0
0
1.9
84
0
0
1
0
8
2,023
232
21
male
0
student
0
0
0
32.5
25.2
30.4
32
34.1
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,023
233
30
female
0
market_vendor
1
0
0
31.5
26.4
27.1
62
34.6
0
0
1
0
0
1
0
1
none
0
na
0
0
0
0.3
97
0
0
1
0
4
2,021
234
14
female
1
student
1
0
0
36.2
27
26.7
80
40.2
0
0
1
1
0
0
1
1
none
0
na
0
0
0
0.3
97
0
0
1
0
12
2,022
235
84
male
1
domestic_worker
1
0
1
30.5
20.4
24.4
71
34
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,021
236
16
male
0
office_indoor
0
0
0
24.8
14.2
27.4
57
27.7
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
3
2,021
237
34
female
1
factory
0
0
0
31
16.7
31.7
49
33.5
1
2
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,020
238
14
male
0
domestic_worker
1
1
0
30.2
16.8
26
68
33.6
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.1
99
0
0
0
0
2
2,022
239
47
male
1
construction
1
0
0
30.7
15.8
26.2
55
33.5
0
0
0
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
2
2,020
240
54
male
1
domestic_worker
0
0
0
33.2
28.2
26.4
67
36.6
0
0
1
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,023
241
25
male
0
domestic_worker
1
0
0
30.9
21.3
27.4
56
33.7
1
2
0
0
0
1
0
0
none
0
na
0
0
0
0.4
96
0
0
1
1
4
2,020
242
95
female
1
subsistence_farmer
1
0
1
32.6
27.6
27
68
36
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0.7
94
0
0
0
0
3
2,021
243
42
male
0
factory
0
0
0
37.4
24.2
32.4
58
40.3
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
8
2,022
244
38
female
1
subsistence_farmer
1
0
0
33.3
23.4
27.1
55
36
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
12
2,021
245
13
male
0
domestic_worker
0
0
0
29.7
20.2
34.6
65
33
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,021
246
28
female
0
construction
1
0
0
34.8
27.3
30.9
56
37.6
0
0
1
0
0
1
0
0
none
0
na
0
0
0
1.5
88
0
0
0
0
2
2,020
247
34
female
0
market_vendor
1
0
0
28.6
21.1
28
34
30.3
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,019
248
10
female
0
commercial_farmer
0
0
0
32.2
20.7
28.2
68
35.6
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,023
249
20
female
0
construction
1
0
0
32.3
21.3
29.8
41
34.3
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.9
92
0
0
1
0
10
2,019
250
49
male
0
transport
1
0
0
27
17.7
27.1
68
30.4
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.1
99
0
0
0
0
5
2,020
251
17
female
1
student
0
0
0
35.8
26.1
30.2
41
37.8
0
0
1
1
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
10
2,023
252
57
male
0
factory
0
0
0
35.1
21.8
26.4
62
38.2
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,022
253
18
male
0
office_indoor
0
0
0
34.7
27.9
30
59
37.7
1
9
1
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
1
8
2,019
254
15
male
0
subsistence_farmer
1
0
0
36
21
28.5
54
38.7
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.5
96
0
0
1
0
8
2,020
255
22
female
1
other
1
1
0
32.8
26.1
29.2
68
36.2
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0.1
99
0
0
1
0
5
2,020
256
15
male
1
subsistence_farmer
1
0
0
28.1
16.4
29.7
64
31.3
0
0
0
1
0
0
1
0
none
0
na
0
0
0
1.1
91
0
0
0
0
4
2,022
257
12
male
0
domestic_worker
0
0
0
31.4
23.5
32.4
30
32.9
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,021
258
20
male
0
construction
1
0
0
29.7
22.2
26.7
44
31.9
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.4
96
0
0
0
0
8
2,023
259
29
female
1
construction
1
0
0
29.9
19.2
30.4
27
31.2
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,022
260
49
female
0
domestic_worker
0
1
0
29.8
20.5
30.6
68
33.2
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,021
261
20
female
0
subsistence_farmer
1
0
0
34.1
28.5
30.5
65
37.4
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
1
0
0
0
5
2,023
262
37
male
0
commercial_farmer
1
0
0
31.8
25
29.2
76
35.6
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.4
96
0
0
1
0
1
2,022
263
29
male
0
commercial_farmer
1
0
0
29.5
18.3
23.5
63
32.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,022
264
44
male
1
subsistence_farmer
1
0
0
33.7
27.6
27.6
34
35.4
0
0
1
1
1
0
0
1
none
0
na
0
0
0
0.8
93
1
0
0
0
6
2,021
265
24
female
1
factory
0
0
0
31.6
19.7
31.6
60
34.6
0
0
0
0
1
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
11
2,022
266
50
female
1
commercial_farmer
1
0
0
33.9
27.3
33.2
75
37.6
0
0
1
0
0
0
1
0
none
0
na
0
0
0
1.6
87
1
0
1
0
12
2,023
267
45
male
1
office_indoor
0
0
0
40.6
34.2
30.7
29
42.1
1
1
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,020
268
38
male
1
office_indoor
0
0
0
35.1
20.1
31.8
25
36.4
0
0
0
1
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,020
269
24
female
0
unemployed
0
0
0
33.9
22.8
28.8
59
36.9
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
8
2,023
270
36
female
1
commercial_farmer
1
0
0
30.4
16.9
24.7
77
34.2
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,019
271
10
male
0
subsistence_farmer
1
0
0
33.7
23
30.1
57
36.6
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.4
96
0
0
1
0
10
2,022
272
32
female
1
transport
1
0
0
27.9
16.2
31.9
34
29.6
0
0
0
1
0
0
1
1
none
0
na
0
0
0
1.5
88
0
0
0
0
3
2,023
273
41
male
1
student
0
0
0
30.8
23.2
30
59
33.8
1
7
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
1
2,020
274
22
male
0
factory
0
0
0
32.8
18.2
35.3
59
35.8
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
1
2,023
275
40
female
1
student
0
0
0
31.7
16.8
26.5
60
34.7
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,023
276
17
male
1
office_indoor
0
0
0
34.7
25.1
30.9
48
37.1
0
0
1
0
0
1
1
0
dehydration
1
mild
0
0
0
0
100
0
0
1
0
9
2,020
277
24
male
0
student
0
1
0
32.5
17.5
31.3
43
34.6
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
8
2,021
278
40
male
0
mining
1
0
0
30.5
16.4
30.9
54
33.2
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.3
97
0
0
1
0
6
2,022
279
62
female
0
student
0
1
0
33.1
26.9
31.8
47
35.5
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,020
280
88
female
1
construction
1
1
1
32.2
17.3
29.1
51
34.8
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0.2
98
0
0
1
0
2
2,021
281
30
male
0
student
0
1
0
34.7
28.4
30.3
59
37.7
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,021
282
28
female
1
subsistence_farmer
1
0
0
32.3
21
25
37
34.1
0
0
0
1
1
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
9
2,019
283
53
female
0
other
1
1
0
34.3
22.9
29.3
41
36.3
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.5
96
0
0
0
0
2
2,021
284
32
female
0
student
0
0
0
36.9
31.9
28
46
39.2
0
0
1
0
0
1
1
0
dehydration
1
moderate
1
0
0
0
100
0
0
0
0
9
2,021
285
22
male
0
subsistence_farmer
1
0
0
28.6
22
33
58
31.5
0
0
0
0
0
0
1
0
none
0
na
0
0
0
1.6
87
0
0
1
0
4
2,021
286
12
male
1
subsistence_farmer
1
0
0
36.1
27.7
31.7
52
38.7
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0.9
92
0
0
1
0
12
2,023
287
73
male
0
subsistence_farmer
1
0
1
34.6
27.6
30.9
86
38.9
0
0
1
0
0
0
0
1
none
0
na
0
0
0
0.2
98
1
0
1
0
10
2,020
288
15
female
0
mining
1
0
0
31.4
19.6
28.4
71
34.9
1
12
0
0
1
0
1
0
none
0
na
0
0
0
0.6
95
0
0
1
0
6
2,020
289
46
male
0
subsistence_farmer
1
0
0
39.2
29.9
27
21
40.2
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0.8
93
0
0
0
0
3
2,019
290
22
male
1
unemployed
0
0
0
32.9
19.6
27.2
46
35.2
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
2
2,023
291
38
female
1
student
1
1
0
39
31.8
31.4
51
41.5
1
3
1
1
0
0
1
0
none
0
na
0
0
0
0.9
92
1
0
0
0
12
2,021
292
27
female
0
unemployed
0
0
0
35.9
22.9
27.7
44
38.1
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
1
0
0
0
11
2,021
293
12
male
0
other
1
0
0
33.2
22.9
33
63
36.4
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0.6
95
0
0
0
0
5
2,020
294
36
female
0
mining
1
0
0
35.5
27.1
28
70
39
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.7
94
0
0
1
0
8
2,023
295
23
female
0
commercial_farmer
1
0
0
30.8
20.7
32.7
42
32.9
0
0
0
0
0
1
0
0
none
0
na
0
0
0
2.1
83
0
0
0
0
11
2,019
296
58
female
1
commercial_farmer
1
0
0
31
21.4
27.3
77
34.9
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
4
2,020
297
81
female
0
subsistence_farmer
1
0
1
31.4
24.3
28.9
47
33.8
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.6
95
0
0
1
0
12
2,022
298
33
male
1
unemployed
0
0
0
31.3
19.6
28.2
45
33.5
1
2
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,023
299
51
male
0
student
0
1
0
33.8
21.9
32.1
40
35.8
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
9
2,022
300
51
male
0
office_indoor
0
0
0
36
28.5
25
86
40.3
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
5
2,020