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
801
48
male
0
construction
1
0
0
37.9
25.2
28.1
70
41.4
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0.2
98
0
0
0
0
11
2,023
802
26
male
0
domestic_worker
0
1
0
29.5
18.4
32.8
58
32.4
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,020
803
51
male
0
construction
1
0
0
30.2
22
32.7
32
31.8
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.8
93
0
0
1
0
8
2,020
804
19
female
1
construction
1
1
0
30.5
15.7
28.9
46
32.8
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0.7
94
1
0
0
0
5
2,021
805
35
male
1
market_vendor
1
0
0
33.3
19.2
25.5
69
36.8
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,023
806
26
female
0
subsistence_farmer
1
0
0
35
24.9
31.1
55
37.8
0
0
0
0
0
1
0
1
none
0
na
0
0
0
1.4
88
0
0
0
0
3
2,022
807
30
male
0
subsistence_farmer
1
0
0
31.2
24.7
29
59
34.1
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.7
94
0
0
0
0
12
2,019
808
64
male
0
subsistence_farmer
1
1
0
30.6
22.8
32.9
62
33.7
0
0
0
0
0
0
0
0
none
0
na
0
0
0
3.1
75
0
0
0
0
6
2,023
809
19
male
1
office_indoor
0
0
0
36.9
26.4
33.8
65
40.1
1
9
1
0
1
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
7
2,020
810
12
female
0
office_indoor
0
1
0
36.1
24.5
30.1
79
40.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
12
2,022
811
25
female
1
subsistence_farmer
1
0
0
35.3
27.5
25.3
17
36.1
0
0
1
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,022
812
57
male
1
other
1
0
0
30.1
17.7
25.7
52
32.7
1
1
0
0
0
0
1
1
none
0
na
0
0
0
0.1
99
0
0
1
0
7
2,022
813
36
female
0
domestic_worker
0
0
0
37.9
31.3
23.1
38
39.8
1
4
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
1
0
0
12
2,023
814
83
male
0
other
1
0
1
35.7
24.2
28.1
33
37.4
0
0
0
0
0
0
1
0
none
0
na
0
0
0
1.2
90
0
0
0
0
1
2,021
815
37
male
0
factory
0
0
0
33.6
19.2
29
48
36
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,022
816
26
female
1
construction
1
0
0
32.5
25.6
27.5
42
34.6
0
0
1
1
1
1
1
1
none
0
na
0
0
0
0.3
97
0
0
1
0
8
2,019
817
22
female
0
factory
1
0
0
37.4
31.1
30.7
71
40.9
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.5
96
0
0
1
0
3
2,023
818
37
male
1
other
0
1
0
36.5
30
32
67
39.9
1
3
1
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
1
1
2
2,022
819
40
male
0
market_vendor
1
0
0
32.8
21.7
30.8
46
35.1
0
0
0
0
0
0
1
1
none
0
na
0
0
0
1.7
86
0
0
0
0
9
2,021
820
26
female
0
domestic_worker
0
0
0
34.2
19.2
27.7
68
37.6
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,022
821
20
male
0
subsistence_farmer
1
0
0
36.8
29.8
24
75
40.5
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,022
822
25
female
0
mining
1
0
0
41
32.8
30.4
39
43
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,023
823
38
male
1
other
0
0
0
34.9
26.4
29.9
75
38.6
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
11
2,023
824
16
male
0
domestic_worker
0
0
0
39.9
29.3
25.5
80
43.9
0
0
1
0
1
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
12
2,022
825
25
male
0
subsistence_farmer
1
0
0
42.5
32.8
28.5
44
44.7
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.8
93
0
0
1
0
6
2,021
826
19
male
0
student
0
0
0
27.5
22.2
29.1
55
30.2
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,021
827
24
male
0
commercial_farmer
1
0
0
26.7
18.5
30.9
56
29.5
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.1
99
1
0
0
0
2
2,021
828
27
female
0
unemployed
0
1
0
32.3
21.5
29.7
63
35.4
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,022
829
45
female
0
factory
1
0
0
28.9
17.2
33
52
31.5
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0.5
96
0
0
1
0
6
2,020
830
30
female
1
market_vendor
1
0
0
36.3
27.2
28.3
58
39.2
0
0
1
1
0
1
1
0
none
0
na
0
0
0
0.3
97
0
0
1
0
9
2,021
831
64
female
1
office_indoor
0
0
0
33.4
23
27.8
82
37.5
0
0
0
1
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
2
2,019
832
26
male
0
market_vendor
1
0
0
33.1
24.3
26.2
48
35.5
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,020
833
24
male
0
mining
0
0
0
33.8
28.7
29.2
58
36.7
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,021
834
9
male
1
unemployed
0
0
0
29.9
20.7
28.7
63
33
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
8
2,021
835
27
female
1
subsistence_farmer
1
0
0
37.9
29.5
30.3
26
39.2
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0.3
97
0
0
0
0
7
2,022
836
38
male
0
market_vendor
0
0
0
34.5
26.4
30.4
42
36.6
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,023
837
15
female
0
factory
1
1
0
34.4
22.5
34.9
55
37.1
0
0
0
0
0
1
1
1
none
0
na
0
0
0
3.5
72
0
0
1
0
3
2,023
838
87
male
0
student
0
0
1
37.5
31.3
29.7
89
42
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,023
839
56
female
0
unemployed
0
1
0
36.9
25.2
29.6
71
40.4
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,023
840
49
male
0
subsistence_farmer
1
0
0
36
28.4
24.9
49
38.5
1
2
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,022
841
17
male
0
other
1
0
0
27.3
14.2
27.3
36
29.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.5
96
0
0
1
0
11
2,021
842
13
female
0
construction
1
0
0
33
25.7
28.3
47
35.4
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0.5
96
1
0
1
0
7
2,023
843
70
female
0
construction
1
1
1
35
28.6
33.6
34
36.7
0
0
1
0
0
0
1
0
none
0
na
0
0
0
1.7
86
0
0
0
0
6
2,022
844
28
male
1
other
1
0
0
35.3
25.5
27.4
53
37.9
0
0
1
0
1
0
1
0
none
0
na
0
0
0
1
92
0
0
0
0
3
2,019
845
43
male
1
office_indoor
0
0
0
35.4
22.5
31.8
67
38.8
0
0
0
1
1
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,023
846
30
male
1
market_vendor
0
0
0
31.7
23.7
28.8
62
34.8
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
1
0
1
0
5
2,021
847
25
male
1
student
1
0
0
34.9
26.8
30.3
52
37.5
0
0
1
0
0
1
1
1
none
0
na
0
0
0
0.4
96
0
0
0
0
11
2,022
848
39
male
1
office_indoor
0
0
0
33.7
24.1
30.5
58
36.6
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,022
849
16
male
0
subsistence_farmer
1
0
0
31
18.2
27.7
44
33.2
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.1
99
0
0
1
0
6
2,021
850
46
female
0
transport
1
0
0
36.4
27.6
27.3
63
39.5
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0.2
98
0
0
0
0
3
2,021
851
12
male
0
market_vendor
0
0
0
28.3
15.1
29.6
62
31.4
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,020
852
59
male
1
domestic_worker
0
0
0
27.6
19.9
28.3
27
29
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
1
2,023
853
22
female
0
construction
1
0
0
34
26.2
32.7
38
35.9
0
0
1
0
0
0
1
0
none
0
na
0
0
0
1.7
86
0
0
1
0
5
2,023
854
16
female
0
commercial_farmer
1
0
0
34.3
21.5
30.7
42
36.4
0
0
0
0
1
1
1
1
none
0
na
0
0
0
2.2
82
0
0
1
0
7
2,020
855
29
female
0
subsistence_farmer
1
0
0
36.2
21.6
31.2
52
38.8
0
0
0
0
0
0
0
0
none
0
na
0
0
0
1.1
91
0
0
0
0
7
2,021
856
19
male
0
student
1
0
0
35.1
20.9
31.2
64
38.3
0
0
0
0
0
0
0
0
none
0
na
0
0
0
2.5
80
1
0
1
0
9
2,021
857
22
male
0
student
0
0
0
33.7
28.5
29
57
36.6
0
0
1
0
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
2
2,023
858
56
male
0
factory
0
0
0
35.5
21.9
25.6
32
37.1
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,022
859
45
male
1
subsistence_farmer
1
0
0
27.9
13.8
30.6
78
31.8
0
0
0
0
0
1
1
0
none
0
na
0
0
0
1
92
0
0
1
0
2
2,023
860
25
male
0
student
0
0
0
37
22.6
31
65
40.2
1
3
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,023
861
27
female
1
office_indoor
0
0
0
31.8
21.2
32.7
65
35
0
0
0
1
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,023
862
12
male
0
office_indoor
0
0
0
34.2
25.2
32
66
37.5
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
1
0
0
0
11
2,019
863
95
male
1
construction
1
0
1
37.5
25.3
32.8
82
41.6
0
0
1
0
0
1
0
0
none
0
na
0
0
0
1.7
86
0
0
1
0
9
2,023
864
83
female
1
construction
1
0
1
37.1
29
28.8
72
40.7
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0.2
98
0
0
0
0
6
2,022
865
78
female
1
commercial_farmer
1
1
1
38.3
29.1
31.2
43
40.4
1
2
1
1
0
1
1
0
acute_kidney_injury
1
mild
0
0
0
1.1
91
0
0
1
0
4
2,020
866
28
male
1
student
0
0
0
28.2
17.4
30.9
49
30.6
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
1
2,022
867
26
male
0
commercial_farmer
1
0
0
29.1
16.7
25.4
59
32.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
4
2,022
868
34
male
0
subsistence_farmer
1
0
0
35.2
21.9
27
54
37.9
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.8
93
0
0
0
0
5
2,022
869
34
female
0
domestic_worker
0
0
0
33.7
22.3
32.6
56
36.5
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
11
2,020
870
18
female
0
subsistence_farmer
1
0
0
31.8
22.1
30.9
62
34.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
1.3
89
0
0
1
0
5
2,022
871
53
female
0
mining
1
1
0
30.9
19.9
29.5
55
33.6
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
1
0
0
0
9
2,020
872
28
male
0
unemployed
0
1
0
37.2
25.3
26.9
67
40.6
0
0
1
0
1
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,021
873
14
female
0
subsistence_farmer
1
0
0
35.6
27.6
28.7
31
37.1
0
0
1
0
1
0
1
0
none
0
na
0
0
0
0.8
93
0
0
0
0
11
2,022
874
45
male
0
transport
1
0
0
31.9
26.8
31.1
26
33.2
0
0
1
0
0
1
1
1
none
0
na
0
0
0
0.7
94
0
0
0
0
6
2,023
875
30
female
1
other
1
0
0
29.2
20.5
32
42
31.3
0
0
0
1
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
11
2,019
876
36
female
0
subsistence_farmer
1
0
0
33.7
22.4
33.6
62
36.8
0
0
0
0
0
0
0
0
none
0
na
0
0
0
1
92
0
0
0
0
6
2,020
877
12
male
0
subsistence_farmer
1
0
0
34.7
25.5
25.7
46
37
0
0
1
0
0
0
0
1
none
0
na
0
0
0
0.2
98
0
0
0
0
10
2,022
878
17
female
1
student
0
0
0
35.6
22
29.5
54
38.3
0
0
0
0
1
1
1
1
none
0
na
0
0
0
0
100
0
0
1
0
7
2,019
879
16
male
0
construction
1
0
0
29.3
20.8
27.1
26
30.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
9
2,023
880
45
female
0
commercial_farmer
1
0
0
32.5
19.3
26.9
69
36
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.3
97
0
0
1
0
8
2,019
881
37
female
1
unemployed
1
0
0
35.2
20.9
24.7
54
37.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
12
2,021
882
41
male
0
market_vendor
0
0
0
35.7
25.3
27.5
57
38.6
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0
100
1
0
0
0
5
2,020
883
19
female
1
mining
0
0
0
34.6
24.3
31.3
40
36.6
0
0
0
1
1
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
5
2,022
884
21
male
0
mining
1
0
0
32.7
26.3
27.7
62
35.8
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.4
96
0
0
1
0
12
2,023
885
26
female
0
unemployed
0
1
0
31.2
25.3
30.3
79
35.1
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
6
2,022
886
27
female
0
subsistence_farmer
1
1
0
36.5
24.9
28.8
44
38.7
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0.6
95
0
0
1
0
9
2,021
887
23
female
0
construction
1
0
0
35.7
29.1
31.4
49
38.2
1
6
1
0
0
0
1
0
none
0
na
0
0
0
1.5
88
0
0
1
0
7
2,023
888
33
male
0
other
0
0
0
33.4
28.4
30.9
73
37
1
1
1
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,023
889
49
male
0
subsistence_farmer
1
0
0
27.9
22.6
29.8
51
30.4
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0.9
92
0
0
1
0
3
2,021
890
27
male
1
subsistence_farmer
1
0
0
31
23.1
26.1
67
34.4
0
0
0
1
1
0
1
1
none
0
na
0
0
0
0.2
98
0
0
0
0
9
2,022
891
75
female
0
student
1
0
1
30.9
16.5
29.4
46
33.2
0
0
0
0
0
0
0
0
none
0
na
0
0
0
1.3
89
0
0
1
0
8
2,023
892
25
female
0
subsistence_farmer
1
0
0
35.1
27.3
31.9
60
38.1
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.2
98
0
0
1
0
9
2,020
893
30
male
0
transport
1
0
0
33.1
21.3
30.7
48
35.5
0
0
0
0
0
0
0
0
none
0
na
0
0
0
1.4
88
0
0
1
0
7
2,023
894
91
female
0
construction
1
0
1
31.2
26.2
30.4
61
34.2
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0.2
98
0
0
0
0
12
2,021
895
13
male
1
transport
1
0
0
31
22.5
26.3
46
33.3
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
9
2,023
896
21
female
0
subsistence_farmer
1
0
0
27.2
21.1
27.6
55
29.9
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.6
95
0
0
0
0
7
2,022
897
38
male
0
other
0
0
0
31.7
26.2
25.6
85
36
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,023
898
20
male
0
office_indoor
0
0
0
33.4
28
34.5
22
34.5
1
2
1
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,021
899
47
male
0
office_indoor
0
0
0
31.3
20
30.4
67
34.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
12
2,019
900
39
male
1
other
0
0
0
30.4
21.3
27.3
56
33.2
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,023