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
1,001
73
female
0
commercial_farmer
1
0
1
32.5
23.8
24.6
89
37
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,023
1,002
44
female
0
other
0
0
0
34.7
23.2
26.3
68
38.1
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,021
1,003
62
male
0
construction
1
1
0
29.8
24.3
32.9
65
33
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.3
97
0
0
1
0
3
2,022
1,004
35
female
1
construction
1
0
0
28.2
16.3
28.4
76
32
0
0
0
1
0
1
0
0
none
0
na
0
0
0
1.2
90
0
0
1
0
6
2,023
1,005
80
male
1
construction
1
1
1
33.9
24.7
28.2
64
37.1
0
0
0
1
0
0
1
0
none
0
na
0
0
0
1
92
0
0
0
0
5
2,021
1,006
24
female
0
mining
1
1
0
34.8
24.4
26.9
31
36.3
0
0
0
0
1
0
0
0
none
0
na
0
0
0
0.2
98
1
0
0
0
12
2,021
1,007
40
female
0
subsistence_farmer
1
0
0
33.8
22.8
26.4
49
36.2
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,023
1,008
54
male
0
student
0
1
0
35.2
28.7
29.9
54
37.9
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,020
1,009
18
male
0
commercial_farmer
1
0
0
35.7
22.6
31.7
13
36.4
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,022
1,010
33
male
0
student
0
0
0
25.5
18.2
27.4
65
28.8
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
3
2,023
1,011
24
female
0
construction
1
0
0
33.9
24.9
31.4
55
36.6
0
0
0
0
0
1
0
0
heat_exhaustion
1
severe
0
0
0
1.5
88
0
0
0
0
10
2,023
1,012
65
female
0
subsistence_farmer
1
1
1
31.6
22.3
27.2
54
34.3
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.3
97
0
0
1
0
11
2,019
1,013
34
female
0
mining
1
0
0
29.9
15.5
29
59
32.9
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,021
1,014
67
male
0
office_indoor
0
0
1
34.4
24.1
29.7
63
37.5
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,021
1,015
46
female
0
subsistence_farmer
1
0
0
36.1
23.3
27.1
20
37.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.2
98
0
0
0
0
6
2,023
1,016
53
female
1
other
1
0
0
34.3
25.2
28.4
67
37.6
1
1
1
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,023
1,017
36
female
0
office_indoor
1
0
0
27.3
19.6
30.6
39
29.2
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.9
92
0
0
0
0
11
2,021
1,018
37
female
1
student
0
0
0
38
25
27
24
39.2
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
9
2,023
1,019
14
male
0
factory
0
0
0
32.7
19.6
33.6
47
35.1
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
9
2,023
1,020
41
male
1
mining
1
1
0
33.6
22.2
32.7
57
36.5
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0.8
93
0
0
0
0
6
2,019
1,021
21
male
0
office_indoor
0
0
0
33.9
26.4
30.2
58
36.8
1
1
1
0
1
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,021
1,022
36
male
1
unemployed
1
0
0
34.6
23.7
24
59
37.6
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,021
1,023
27
male
1
student
0
0
0
34.9
29.6
24.6
70
38.4
0
0
1
0
0
1
1
1
none
0
na
0
0
0
0
100
0
0
1
0
2
2,020
1,024
19
male
0
market_vendor
1
0
0
32.6
23.4
26.5
21
33.6
0
0
0
0
1
0
0
0
none
0
na
0
0
0
0.6
95
0
0
1
0
6
2,022
1,025
68
male
0
subsistence_farmer
1
0
1
41.3
36
31.7
49
43.8
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
11
2,021
1,026
27
male
0
unemployed
0
0
0
32.2
24
27.8
53
34.9
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,020
1,027
19
male
0
student
0
0
0
35.8
27.8
29.4
73
39.4
0
0
1
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
8
2,023
1,028
15
male
0
transport
0
0
0
29.6
23.4
28.6
62
32.7
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,023
1,029
51
male
0
unemployed
1
0
0
30.9
16.6
33.9
47
33.2
0
0
0
0
0
1
0
0
none
0
na
0
0
0
2.3
81
1
0
1
0
8
2,020
1,030
57
female
0
domestic_worker
0
0
0
38.9
33
30.7
39
40.9
1
1
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,023
1,031
19
female
0
unemployed
1
0
0
33.1
20.1
29.6
59
36.1
0
0
0
0
0
0
1
0
none
0
na
0
0
0
1.6
87
1
0
1
0
3
2,022
1,032
32
female
1
office_indoor
0
0
0
32.8
18.4
33.2
68
36.2
0
0
0
0
0
1
1
1
none
0
na
0
0
0
0
100
0
0
1
0
7
2,023
1,033
15
female
1
unemployed
1
0
0
27.1
19.8
27.3
61
30.2
0
0
0
1
1
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,020
1,034
31
male
0
market_vendor
1
1
0
34.1
26.8
25.2
60
37.1
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,019
1,035
42
male
1
office_indoor
1
0
0
33.4
24.4
23.5
40
35.4
0
0
0
1
0
1
1
1
none
0
na
0
0
0
0
100
0
0
1
0
10
2,021
1,036
22
male
0
office_indoor
0
0
0
33.7
20.6
27.9
32
35.3
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,023
1,037
15
male
0
market_vendor
1
0
0
33.9
27.2
27.9
50
36.4
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0.2
98
0
0
1
0
5
2,023
1,038
54
male
0
subsistence_farmer
1
1
0
38.2
30.3
22.1
79
42.2
0
0
1
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
2
2,023
1,039
59
female
0
unemployed
0
0
0
38.4
31.1
33
70
41.9
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,023
1,040
16
male
0
construction
1
0
0
35.6
26.5
32.7
35
37.4
0
0
1
0
0
1
0
1
none
0
na
0
0
0
1.4
88
0
0
0
0
11
2,023
1,041
34
female
1
unemployed
0
0
0
34.1
25.7
31.9
64
37.3
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
1
0
0
0
11
2,020
1,042
29
male
1
commercial_farmer
1
0
0
30.8
21.5
25.6
59
33.8
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
11
2,022
1,043
34
female
1
office_indoor
0
0
0
32.5
23.1
29.6
48
34.9
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,023
1,044
75
female
0
subsistence_farmer
1
1
1
35.7
26.5
28
50
38.2
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.1
99
0
0
0
0
8
2,021
1,045
38
male
1
subsistence_farmer
1
1
0
32.7
21.2
26.9
47
35.1
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0.2
98
0
0
1
0
11
2,019
1,046
29
male
0
factory
0
0
0
40.4
34
30.6
72
44
1
1
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,022
1,047
32
male
0
student
0
0
0
39.6
28.7
30.4
52
42.2
0
0
1
0
1
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,021
1,048
41
male
1
office_indoor
0
0
0
34.4
21.3
24.1
57
37.2
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,020
1,049
12
female
1
student
0
0
0
29.8
24.2
31.6
51
32.4
0
0
0
0
1
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,023
1,050
10
male
1
office_indoor
0
1
0
37.1
26.2
28.9
80
41.1
0
0
1
0
1
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,021
1,051
30
female
1
market_vendor
1
0
0
29.7
19.8
29
56
32.5
0
0
0
0
0
1
0
1
none
0
na
0
0
0
0.1
99
0
0
0
0
10
2,019
1,052
25
female
0
construction
1
0
0
32.2
20.8
28.6
65
35.5
1
17
0
0
0
0
0
0
none
0
na
0
0
0
0.5
96
0
0
1
0
6
2,020
1,053
26
male
0
unemployed
0
0
0
35.6
26.1
28.5
79
39.6
0
0
1
0
1
1
1
1
dehydration
1
moderate
1
0
0
0
100
0
0
1
0
6
2,023
1,054
24
male
0
commercial_farmer
1
0
0
33.3
20.1
25.7
51
35.8
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,022
1,055
38
female
0
subsistence_farmer
1
0
0
36.5
24.4
30.1
38
38.4
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.2
98
0
0
1
0
3
2,023
1,056
36
male
1
market_vendor
1
0
0
36.2
27
35.4
57
39.1
0
0
1
0
0
0
1
0
none
0
na
0
0
0
2.2
82
0
0
1
0
9
2,022
1,057
25
male
1
unemployed
0
0
0
36.6
25.3
33.6
46
38.9
0
0
1
1
1
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,022
1,058
16
male
0
market_vendor
0
0
0
29.3
14.7
30.2
78
33.2
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,021
1,059
30
male
1
domestic_worker
0
0
0
33.5
19.3
29.6
73
37.1
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,023
1,060
39
male
0
unemployed
0
0
0
26.7
15.1
30.9
46
29
0
0
0
0
0
1
1
0
dehydration
1
moderate
1
0
0
0
100
0
0
0
0
3
2,022
1,061
21
male
0
subsistence_farmer
1
0
0
38.8
30
24.2
41
40.8
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,020
1,062
41
male
0
commercial_farmer
1
0
0
32.6
24.7
27.3
57
35.5
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,022
1,063
21
female
1
office_indoor
0
1
0
29.6
24.3
29.9
33
31.2
1
5
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
8
2,022
1,064
76
female
0
domestic_worker
0
0
1
34.9
26.6
26.3
53
37.5
1
4
1
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
1
0
8
2,022
1,065
31
female
0
unemployed
0
0
0
36
29.8
28.4
31
37.5
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
2
2,023
1,066
16
female
1
domestic_worker
0
0
0
30.1
22
25.8
72
33.7
0
0
0
1
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,021
1,067
25
male
1
unemployed
0
1
0
34.3
27.6
31.9
58
37.2
0
0
1
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,019
1,068
25
female
0
mining
1
0
0
31.7
19.8
26.9
54
34.4
1
3
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,022
1,069
17
female
1
construction
0
0
0
31.6
22.5
30.6
72
35.2
0
0
0
1
0
1
1
1
none
0
na
0
0
0
0
100
0
0
1
0
11
2,022
1,070
21
male
1
subsistence_farmer
1
0
0
33.7
22.5
30
56
36.5
1
1
0
1
0
0
1
0
heat_exhaustion
1
moderate
1
0
0
0.6
95
0
0
0
0
1
2,021
1,071
11
male
0
student
0
0
0
33.5
26.3
30.1
40
35.5
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,023
1,072
33
male
1
commercial_farmer
1
0
0
33.6
18.9
31
55
36.4
0
0
0
1
1
0
1
1
none
0
na
0
0
0
2
84
0
0
1
0
10
2,023
1,073
24
male
1
student
0
0
0
40.5
27.8
21.6
59
43.5
0
0
1
1
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,022
1,074
14
male
1
factory
0
0
0
34.6
25.6
30.3
88
39
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
1
0
1
0
5
2,023
1,075
61
female
1
office_indoor
0
1
0
31.6
25.3
30
73
35.2
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
1
2,019
1,076
21
male
1
construction
1
0
0
33.1
18.6
29
17
34
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.9
92
0
0
1
0
4
2,023
1,077
29
female
0
domestic_worker
0
0
0
40.2
33.8
29
65
43.5
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
12
2,021
1,078
29
female
0
subsistence_farmer
1
0
0
31.5
23.8
28.3
63
34.6
0
0
0
0
0
1
1
0
heatstroke
1
severe
1
0
0
0.5
96
0
0
0
0
1
2,021
1,079
23
female
0
commercial_farmer
1
0
0
31.5
23.6
29
61
34.5
0
0
0
0
0
0
1
0
none
0
na
0
0
0
1.2
90
1
0
1
0
4
2,023
1,080
9
male
0
subsistence_farmer
1
0
0
30.3
20.5
27.4
62
33.4
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,021
1,081
5
female
1
student
1
0
0
33.2
25.2
29.9
46
35.5
0
0
1
0
0
1
0
1
none
0
na
0
0
0
0.8
93
0
0
0
0
12
2,021
1,082
11
female
1
unemployed
0
0
0
26.2
12.8
30.3
74
29.9
1
5
0
1
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,019
1,083
25
female
0
other
1
0
0
36.8
24.2
30
39
38.8
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.7
94
0
0
1
0
3
2,019
1,084
25
male
1
construction
1
0
0
30.9
25.1
28.7
50
33.4
0
0
1
1
0
1
0
0
none
0
na
0
0
0
0.3
97
0
0
0
0
7
2,023
1,085
29
male
0
commercial_farmer
1
0
0
26.5
18.4
31.1
54
29.2
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.8
93
0
0
1
0
3
2,023
1,086
30
female
0
domestic_worker
1
0
0
26.3
20.7
28.7
62
29.4
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0.5
96
0
0
1
0
4
2,022
1,087
33
male
1
student
1
0
0
30
19.9
29
64
33.2
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.8
93
1
0
1
0
6
2,022
1,088
46
female
0
unemployed
0
0
0
28.6
17.1
30.8
46
30.9
1
9
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
1
4
2,022
1,089
22
female
1
market_vendor
1
0
0
33.9
19.5
32.5
42
36
0
0
0
1
0
0
0
0
none
0
na
0
0
0
1
92
0
0
1
0
2
2,022
1,090
17
female
1
subsistence_farmer
1
0
0
29.2
21.7
30.3
43
31.3
1
2
0
1
0
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
12
2,021
1,091
31
male
1
market_vendor
1
0
0
28.1
21.5
28.3
63
31.2
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0.9
92
0
0
0
0
5
2,023
1,092
62
female
0
transport
1
0
0
31
16.7
28.7
75
34.8
1
1
0
0
0
0
1
0
none
0
na
0
0
0
0.6
95
0
0
1
0
7
2,020
1,093
27
male
1
other
1
1
0
34.5
26.3
30
32
36.1
0
0
1
1
1
1
0
0
none
0
na
0
0
0
0.9
92
0
0
0
0
11
2,023
1,094
21
male
1
subsistence_farmer
1
1
0
29.8
18.8
33.4
62
32.9
0
0
0
1
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,023
1,095
28
female
1
subsistence_farmer
1
0
0
39
31.1
29.5
45
41.2
0
0
1
0
1
0
1
0
none
0
na
0
0
0
0.5
96
0
0
1
0
8
2,023
1,096
39
male
1
construction
1
0
0
33.1
27.1
30.3
52
35.7
1
1
1
1
0
0
0
0
none
0
na
0
0
0
0.3
97
0
0
1
0
6
2,019
1,097
29
male
0
subsistence_farmer
1
0
0
30.1
22.7
30.2
73
33.8
0
0
0
0
1
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
12
2,022
1,098
45
male
0
subsistence_farmer
1
0
0
30.3
17.7
32.2
79
34.2
0
0
0
0
0
0
0
0
none
0
na
0
0
0
2.3
81
0
0
1
0
3
2,021
1,099
25
male
0
subsistence_farmer
1
0
0
33.9
24.8
26.2
78
37.8
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.4
96
1
0
0
0
12
2,019
1,100
11
male
0
subsistence_farmer
1
1
0
35.8
22.2
26.8
63
38.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.4
96
1
0
0
0
8
2,023