Dataset Viewer
Auto-converted to Parquet
Search is not available for this dataset
public_id
int64
CAM5_VaccUptake
int64
CAM5_VaccMonth
int64
BSTR1_Uptake
int64
BSTR2_Month
int64
BSTR3_Like
int64
BSTR4_Readiness
int64
CAM5a_VaccLike
int64
CAM6_VaccWait
int64
Child_Age_04
int64
Child_Age_511
int64
Child_Age_1217
int64
CAM11_Par1_Grid_511
int64
CAM11_Par1_Grid_1217
int64
CAM11_Par2_Grid_511
int64
CAM11_Par2_Grid_1217
int64
CAM11_Par3_Grid_6mo4
int64
MDATE1_Req
int64
CV1
int64
CV2_1_Fever
int64
CV2_2_Cough
int64
CV2_3_Breath
int64
CV2_4_Senses
int64
CV2_5_Flu
int64
CV3_1_Fever
int64
CV3_2_Cough
int64
CV3_3_Breath
int64
CV3_4_Senses
int64
CV3_5_Flu
int64
CV4_1_Self
int64
CV4_2_Family
int64
CV4_3_No
int64
CV5_1_Hospital
int64
CV5_2_Urgent_care
int64
CV5_3_Doctor
int64
CV5_4_Phone
int64
CV5_5_Video
int64
CV5_6_Chat
int64
CV5_7_None
int64
CV6a_Rec
int64
CV6b
int64
CV6c_Rec
int64
CV7a
int64
CV7b
int64
CV8a
int64
CV8b
int64
CV8c
int64
CV9_1_Unemployment_benefits
int64
CV9_2_COVID_enhanced
int64
CV9_3_CARES
int64
CV9_4_None
int64
CV10_1_Children_home
int64
CV10_2_Home_schooled
int64
CV10_3_Work_from_home
int64
CV10_4_Return_to_work
int64
CV10_5_None
int64
CV11_1_Nervous
int64
CV11_2_Worrying
int64
CV11_3_Depressed
int64
CV11_4_Little_interest
int64
CV12_1_Nervous
int64
CV12_2_Worrying
int64
CV12_3_Depressed
int64
CV12_4_Little_interest
int64
CV13
int64
CV14_1
int64
CV14_2
int64
CV14_3
int64
CV14_4
int64
CV14_5
int64
CV15
int64
CV16
int64
parent
int64
xurbanicity
int64
agecat
int64
ppeducat
int64
ppgender
int64
income
int64
ppreg4
int64
race
int64
politicalideo
int64
Weights
float64
10,007,179
2
4
1
12
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
2
2
2
2
2
2
2
2
2
2
2
1
1
0
0
1
0
0
0
0
0
3
1
5
-100
-100
2
2
-100
0
0
0
1
-100
-100
0
0
1
4
4
3
1
2
3
1
-100
2
0
1
0
0
0
2
3
0
3
5
4
2
7
4
2
3
0.498224
10,008,972
2
5
1
13
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
2
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
3
2
1
1
2
2
2
-100
0
0
1
0
0
0
1
0
0
1
1
1
1
-100
-100
-100
-100
2
1
1
1
1
0
3
3
0
3
5
4
2
3
3
3
3
0.273908
10,010,398
0
-100
-100
-100
-100
-100
1
60
0
0
0
-100
-100
-100
-100
-100
-100
1
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
2
-100
1
-100
-100
7
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
0
0
0
0
1
1
-100
0
1
2
3
1
2
3
5
4
1.203634
10,043,788
2
6
1
12
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
3
2
2
2
2
2
2
2
2
2
2
1
1
0
0
0
0
1
0
0
0
5
-100
1
-100
-100
2
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
1
1
1
1
0
3
3
0
3
5
1
1
2
4
5
4
0.700486
10,061,022
2
5
1
12
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
2
2
2
2
2
2
2
2
2
2
2
1
1
0
0
0
0
0
0
0
1
3
2
1
1
2
1
2
-100
0
0
1
0
-100
-100
1
0
0
1
1
1
1
-100
-100
-100
-100
3
0
0
0
1
0
3
2
0
1
4
3
2
7
2
2
4
0.645649
10,064,833
2
6
1
13
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
1
5
-100
-100
1
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
1
0
0
0
0
2
3
0
3
4
4
1
5
2
2
4
0.35973
10,071,047
2
11
1
11
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
1
5
-100
-100
5
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
1
1
1
1
0
3
3
0
1
4
3
2
3
3
3
2
0.553221
10,071,203
0
-100
-100
-100
-100
-100
1
60
0
0
0
-100
-100
-100
-100
-100
-100
1
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
2
2
-100
0
0
0
1
-100
-100
0
0
1
-99
2
1
1
-100
1
-100
-100
2
0
0
0
0
1
2
2
0
1
5
4
2
6
1
2
4
0.200384
10,072,637
2
9
0
-100
5
1
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
5
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
6
1
6
-100
-100
3
1
3
1
1
1
0
-100
-100
0
0
1
1
1
1
4
-100
-100
-100
2
1
-100
-100
-100
-100
-100
2
1
0
3
4
1
1
5
4
2
1
3.284472
10,079,730
2
-99
1
-99
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
4
2
1
2
2
2
3
2
2
3
1
0
1
0
0
0
0
0
0
0
1
5
-100
1
-100
-100
2
2
-100
0
0
0
1
-100
-100
0
0
1
3
2
2
2
3
2
2
2
2
1
1
0
1
0
2
2
0
1
5
3
1
5
2
2
4
0.421544
10,083,938
2
4
0
-100
1
2
-100
-100
0
0
0
-100
-100
-100
-100
-100
1
4
2
2
2
2
2
2
2
2
2
2
1
1
0
0
0
0
0
0
0
1
3
2
1
1
1
1
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
4
0
0
0
0
1
2
2
0
1
4
3
1
3
4
2
4
1.160548
10,136,944
0
-100
-100
-100
-100
-100
1
60
0
0
1
-100
0
-100
3
-100
0
4
2
2
2
2
2
2
2
2
2
2
1
0
0
0
1
0
0
0
0
0
3
2
1
1
2
1
2
-100
0
0
0
1
-100
-100
0
0
1
2
1
1
1
1
-100
-100
-100
3
1
1
0
1
0
3
2
1
1
3
2
2
6
4
5
3
1.061549
10,138,193
2
11
1
13
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
4
2
2
2
2
2
2
2
2
2
2
1
0
0
1
0
0
0
0
0
0
6
-100
1
-100
-100
2
2
-100
0
0
0
1
-100
-100
0
0
1
3
3
3
3
3
4
4
3
2
1
1
1
1
0
2
2
0
3
5
3
2
2
2
6
2
0.607199
10,201,712
0
-100
-100
-100
-100
-100
1
60
0
0
0
-100
-100
-100
-100
-100
-100
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
2
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
0
0
0
0
1
2
1
0
2
5
2
2
6
3
2
4
0.676196
10,214,788
2
5
0
-100
4
2
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
3
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
6
-100
1
-100
-100
2
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
2
-100
-100
-100
2
2
1
1
1
1
0
3
2
0
2
5
2
2
5
3
3
2
1.896953
10,225,698
2
6
1
7
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
3
2
1
2
-100
0
0
1
0
-100
-100
1
0
0
2
2
2
2
2
2
2
2
3
1
1
1
1
0
3
3
0
1
4
4
2
5
2
2
2
0.389732
10,269,741
2
6
1
13
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
1
2
1
2
-100
0
0
0
1
-100
-100
0
0
1
2
1
1
2
1
-100
-100
2
2
0
0
0
0
1
2
1
0
3
4
4
1
7
3
2
4
0.447589
10,306,292
2
4
0
-100
4
1
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
3
2
2
2
2
2
2
2
2
2
-99
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
1
1
2
0
0
1
0
-100
-100
0
0
1
2
2
2
3
2
2
2
2
3
0
1
0
1
0
2
3
0
1
5
4
2
5
1
2
2
1.538239
10,331,042
2
6
1
12
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
1
2
1
2
2
2
2
1
2
2
2
1
1
0
0
0
0
0
0
0
1
3
2
1
3
2
1
2
-100
0
0
1
0
-100
-100
1
0
0
2
1
2
2
2
-100
2
2
2
0
1
1
0
0
3
3
0
1
3
4
1
7
4
2
2
0.632482
10,342,613
2
3
1
11
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
1
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
6
2
1
-100
-100
6
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
4
1
1
0
1
0
2
3
0
3
3
4
2
7
2
2
4
1.201717
10,347,854
0
-100
-100
-100
-100
-100
1
60
0
1
0
0
-100
3
-100
-100
1
3
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
3
1
4
-100
-100
1
1
7
0
0
1
0
0
1
0
0
0
1
1
1
1
-100
-100
-100
-100
3
0
0
0
0
1
2
1
1
3
3
4
1
6
1
1
4
0.254375
10,357,673
2
12
1
13
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
3
2
2
2
2
2
2
2
2
2
2
1
1
0
0
1
0
0
0
0
0
5
-100
1
-100
-100
1
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
1
1
0
1
0
2
3
0
3
4
2
1
4
3
2
3
0.544449
10,389,435
2
7
1
14
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
1
2
-100
1
0
0
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
0
0
0
1
0
3
2
0
3
4
3
1
7
2
2
3
0.581322
10,418,527
2
5
1
13
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
4
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
1
2
-100
0
0
1
0
-100
-100
0
0
1
2
1
1
1
2
-100
-100
-100
2
1
1
0
1
0
3
3
0
1
4
2
1
5
1
2
3
0.493227
10,428,174
2
4
1
9
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
1
2
2
2
2
2
2
-99
-99
-99
-99
-99
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
1
2
3
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
-99
-100
-100
-100
-100
-100
3
3
0
3
5
3
2
2
4
5
1
0.444763
10,503,251
2
5
1
12
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
1
3
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
6
2
-100
0
0
0
1
-100
-100
1
0
0
1
1
1
1
-100
-100
-100
-100
2
1
1
1
1
0
2
1
0
2
4
4
1
6
3
2
3
0.363459
10,509,607
2
10
0
-100
4
2
-100
-100
0
0
1
-100
2
-100
-99
-100
0
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
6
2
1
-100
-100
1
2
-100
0
0
0
1
0
0
0
0
1
2
2
3
2
2
2
2
2
2
1
0
0
0
0
2
3
1
2
3
1
1
3
3
2
1
3.42813
10,552,007
0
-100
-100
-100
-100
-100
1
60
0
1
1
0
0
3
3
-100
0
1
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
1
2
-100
0
0
1
0
0
0
1
0
0
1
1
1
1
-100
-100
-100
-100
3
0
0
0
0
1
3
3
1
3
3
3
2
6
3
2
3
1.116331
10,570,339
2
15
0
-100
1
3
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
3
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
0
1
0
1
0
3
2
0
2
4
2
2
3
1
2
4
1.863646
10,588,091
0
-100
-100
-100
-100
-100
2
2
0
1
0
0
-100
2
-100
-100
-100
1
2
-99
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
2
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
1
1
1
1
0
3
3
1
1
5
2
2
2
1
2
2
0.184807
10,598,008
2
7
1
14
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
2
2
2
1
2
2
2
2
2
2
2
1
1
0
0
0
0
0
0
0
1
5
-100
1
-100
-100
4
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
0
1
0
0
0
2
2
0
3
4
4
1
7
3
2
2
0.367886
10,605,880
2
3
0
-100
2
2
-100
-100
0
0
0
-100
-100
-100
-100
-100
1
3
2
1
1
2
2
2
1
2
1
2
1
0
0
0
0
1
0
0
0
0
3
2
1
3
2
1
2
-100
0
0
1
0
-100
-100
0
0
1
2
2
1
2
2
1
-100
3
3
1
0
1
0
0
3
2
0
2
4
2
1
5
2
2
1
1.088502
10,621,093
2
4
1
9
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
5
2
2
1
2
3
2
2
2
2
2
0
1
0
0
0
0
0
0
0
1
6
-100
1
-100
-100
2
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
0
1
0
0
0
2
2
0
3
4
3
1
6
4
2
4
0.514642
10,623,406
2
13
1
12
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
1
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
4
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
0
0
1
1
0
2
3
0
1
4
1
2
4
4
5
1
0.892818
10,645,836
2
7
1
10
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
4
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
1
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
2
-100
-100
-100
1
2
1
1
0
0
0
2
2
0
3
5
3
1
7
1
2
3
0.601852
10,656,015
2
4
0
-100
4
2
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
4
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
3
1
5
-100
-100
5
2
-100
0
0
1
0
-100
-100
1
0
0
1
1
1
1
-100
-100
-100
-100
3
0
1
0
1
0
2
2
0
1
4
3
2
4
3
3
2
2.120836
10,670,316
2
6
1
14
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
1
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
1
1
2
-100
0
0
0
1
-100
-100
0
0
1
3
1
3
1
2
-100
2
-100
2
0
0
0
0
1
3
3
0
2
4
3
2
5
3
5
3
0.529618
10,684,336
2
6
0
-100
1
3
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
6
1
3
3
2
7
1
7
0
0
1
0
-100
-100
0
0
1
2
2
2
2
2
3
2
2
3
0
0
0
0
1
2
2
0
3
4
3
2
3
2
2
4
1.299592
10,691,064
2
13
1
13
-100
-100
-100
-100
0
1
0
0
-100
2
-100
-100
-100
3
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
3
2
1
1
2
3
2
-100
0
0
1
0
0
0
1
0
0
1
1
1
1
-100
-100
-100
-100
4
1
1
1
1
0
2
2
1
1
3
4
2
5
4
2
1
0.507353
10,701,811
2
3
1
11
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
1
3
2
2
2
2
2
2
-99
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
1
2
-100
0
0
1
0
-100
-100
1
0
0
1
1
1
1
-100
-100
-100
-100
2
1
1
0
1
0
2
2
0
3
4
3
2
3
4
2
2
0.477856
10,703,627
0
-100
-100
-100
-100
-100
2
2
0
1
0
1
-100
-100
-100
-100
0
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
1
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
0
0
0
0
1
2
1
1
3
4
4
1
3
2
2
2
0.547192
10,716,279
2
10
1
10
-100
-100
-100
-100
-99
-99
-99
-100
-100
-100
-100
-100
-100
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
2
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
1
1
1
1
0
2
2
-99
1
5
4
1
6
4
2
2
0.451752
10,731,202
2
14
1
14
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
1
2
2
2
2
2
2
2
2
2
2
1
0
0
0
0
0
0
0
0
1
5
-100
1
-100
-100
2
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
1
1
0
0
0
2
2
0
3
5
3
2
3
4
2
2
0.477856
10,742,978
2
15
0
-100
5
1
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
2
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
0
1
0
0
0
2
2
0
3
4
3
1
2
4
3
4
2.18509
10,762,973
2
5
1
11
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
99
2
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
3
2
1
1
2
1
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
2
1
-100
-100
1
-100
2
1
1
1
1
0
3
3
0
1
4
2
2
7
1
2
3
0.652988
10,770,740
2
10
0
-100
1
3
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
4
2
1
2
2
2
2
2
2
2
2
0
0
1
0
0
0
0
0
0
1
3
2
1
1
1
4
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
2
-100
-100
-100
2
4
0
0
0
0
1
-99
-100
0
3
4
2
2
3
4
2
1
1.298691
10,771,714
2
13
1
13
-100
-100
-100
-100
1
1
0
2
-100
-100
-100
1
0
1
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
1
1
1
0
0
1
0
0
0
0
0
1
1
1
1
1
-100
-100
-100
-100
3
1
1
1
1
0
2
2
1
3
3
4
1
5
3
4
3
0.541581
10,790,636
2
4
1
9
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
4
2
2
1
2
2
2
2
1
1
2
0
0
1
0
0
0
0
0
0
1
5
-100
1
-100
-100
2
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
1
1
0
0
0
2
2
0
3
5
2
1
3
2
2
4
0.435851
10,791,580
2
6
1
13
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
1
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
3
2
1
1
2
6
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
0
1
0
1
0
2
2
0
2
5
2
2
2
2
2
4
0.397173
10,792,866
2
15
1
14
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
3
2
2
2
2
2
1
1
2
1
1
1
1
0
1
0
0
0
0
0
0
3
2
1
1
2
1
2
-100
1
0
0
0
-100
-100
0
0
1
2
1
2
3
1
-100
1
3
4
1
1
1
0
0
2
2
0
1
4
3
1
7
2
2
3
0.602955
10,803,622
2
4
1
10
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
-99
2
1
2
2
2
2
2
2
2
2
0
1
0
0
0
0
0
0
0
1
5
-100
1
-100
-100
2
-99
-100
0
0
1
0
-100
-100
0
0
1
-99
-99
-99
-99
-100
-100
-100
-100
3
1
1
1
1
0
2
2
0
2
5
4
1
6
4
2
2
0.384962
10,821,638
2
12
1
12
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
1
2
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
1
5
2
-100
0
0
0
1
-100
-100
1
0
0
2
1
1
1
1
-100
-100
-100
2
1
1
0
1
0
3
3
0
3
4
3
2
7
1
3
1
0.84309
10,822,562
2
11
1
11
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
4
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
2
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
1
0
1
1
0
2
2
0
2
5
1
2
3
4
5
4
0.85658
10,823,343
0
-100
-100
-100
-100
-100
1
60
0
0
0
-100
-100
-100
-100
-100
0
1
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
6
1
3
2
2
3
2
-100
0
0
0
1
-100
-100
0
1
0
1
1
1
1
-100
-100
-100
-100
4
1
1
1
1
0
3
3
0
2
2
2
2
3
3
3
1
1.453402
10,841,411
2
7
1
10
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
2
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
2
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
1
0
0
1
0
2
2
0
2
5
2
2
5
3
2
3
0.490219
10,859,366
2
5
0
-100
4
2
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
1
2
-100
0
0
1
0
-100
-100
1
0
0
1
1
1
1
-100
-100
-100
-100
1
-100
-100
-100
-100
-100
2
1
0
3
4
2
2
5
1
2
4
2.484058
10,887,098
2
10
0
-100
1
3
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
2
2
2
2
2
2
2
2
2
2
2
1
1
0
0
0
0
1
0
0
0
5
-100
1
-100
-100
2
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
0
0
0
1
0
2
2
0
3
5
4
1
5
4
2
4
0.877404
10,889,314
2
6
1
12
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
1
1
2
2
2
2
2
1
1
1
1
1
0
1
0
-100
-100
-100
-100
-100
-100
-100
3
2
1
1
2
7
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
1
-100
-100
-100
-100
-100
2
2
0
1
4
1
2
3
3
5
3
0.864774
10,928,322
0
-100
-100
-100
-100
-100
1
60
0
0
0
-100
-100
-100
-100
-100
0
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
1
4
2
-100
0
0
0
1
-100
-100
0
0
1
2
2
2
1
1
2
1
-100
2
1
1
1
0
0
2
2
0
1
3
2
1
3
4
5
3
0.715845
10,942,055
2
4
0
-100
4
1
-100
-100
0
0
0
-100
-100
-100
-100
-100
1
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
1
3
1
2
3
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
1
1
1
1
0
2
2
0
1
3
1
2
2
1
5
2
4.174449
10,990,383
2
5
1
12
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
2
2
-100
0
0
1
0
-100
-100
0
0
1
2
2
2
2
2
2
2
2
2
1
1
1
1
0
2
2
0
3
5
3
2
2
3
2
3
0.432545
10,995,668
0
-100
-100
-100
-100
-100
1
60
0
1
1
0
0
3
3
-100
0
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
1
2
-100
0
0
1
0
0
0
0
0
1
1
1
1
1
-100
-100
-100
-100
4
0
0
0
0
1
1
-100
1
3
3
2
1
6
2
2
4
1.246688
10,996,094
0
-100
-100
-100
-100
-100
3
2
0
1
0
0
-100
2
-100
-100
0
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
3
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
1
1
0
1
0
2
2
1
1
4
2
1
5
2
3
3
0.93766
11,017,388
0
-100
-100
-100
-100
-100
1
60
1
0
0
-100
-100
-100
-100
3
0
1
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
6
2
1
-100
-100
1
2
-100
1
0
1
0
0
0
0
0
1
1
1
1
1
-100
-100
-100
-100
3
0
0
0
0
1
2
2
1
2
3
3
2
3
3
2
1
0.810686
11,026,225
2
7
0
-100
2
2
-100
-100
1
0
0
-100
-100
-100
-100
2
0
3
2
2
2
2
1
1
2
2
2
2
0
0
1
0
0
0
0
0
0
1
3
2
1
3
2
1
2
-100
1
0
0
0
0
0
0
0
1
2
1
1
1
1
-100
-100
-100
4
0
1
0
0
0
2
2
1
3
3
3
1
6
2
2
1
2.02619
11,080,504
2
5
1
13
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
4
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
3
2
1
1
2
1
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
1
1
1
1
0
3
3
0
3
4
3
2
4
3
2
3
0.614401
11,096,587
2
6
0
-100
3
3
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
4
2
3
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
6
-100
1
-100
-100
4
2
-100
0
0
1
0
-100
-100
0
0
1
4
4
4
3
3
3
3
3
3
1
0
0
0
0
3
2
0
2
2
2
1
7
2
5
1
3.431853
11,098,800
2
8
1
13
-100
-100
-100
-100
0
0
1
-100
2
-100
-99
-100
0
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
1
2
-100
0
0
1
0
0
0
1
0
0
3
3
2
2
2
2
2
1
2
1
1
0
1
0
3
3
1
2
3
3
1
5
2
2
3
0.649757
11,104,915
2
10
0
-100
3
2
-100
-100
0
0
0
-100
-100
-100
-100
-100
1
4
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
3
2
1
1
2
1
1
1
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
4
1
0
0
0
0
3
2
0
1
4
2
1
6
3
2
3
1.845002
11,140,995
2
13
0
-100
2
2
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
2
1
1
1
1
1
1
1
1
1
1
1
1
0
0
0
1
0
0
0
0
3
1
3
1
2
1
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
1
1
0
1
0
2
2
0
1
3
2
1
3
3
5
1
1.694908
11,156,719
2
10
1
12
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
1
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
1
1
1
0
0
3
3
0
3
5
3
2
5
2
2
2
0.459305
11,159,765
2
5
1
11
-100
-100
-100
-100
0
0
1
-100
2
-100
-99
-100
0
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
1
2
1
2
-100
0
0
0
1
-100
-100
1
0
0
1
1
1
1
-100
-100
-100
-100
2
0
0
0
0
1
1
-100
1
3
4
2
2
7
4
2
2
0.734887
11,162,476
2
4
1
14
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
2
2
1
2
2
2
2
2
2
2
2
0
1
0
0
0
0
0
0
0
1
3
2
1
1
2
1
2
-100
1
1
1
0
-100
-100
1
0
0
1
1
1
1
-100
-100
-100
-100
4
1
1
0
1
0
3
2
0
1
4
4
2
2
2
2
4
0.381596
11,177,399
0
-100
-100
-100
-100
-100
1
60
0
1
1
0
0
3
3
-100
0
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
3
2
7
2
-100
0
0
1
0
0
0
0
0
1
1
1
1
1
-100
-100
-100
-100
2
1
0
0
0
0
3
3
1
2
3
3
2
5
3
2
1
0.691772
11,228,343
2
3
1
14
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
1
2
2
2
2
2
2
2
2
2
2
2
1
1
0
0
0
0
0
0
0
1
3
2
1
1
1
1
2
-100
0
1
0
0
-100
-100
0
0
1
1
1
2
1
-100
-100
1
-100
3
1
1
0
1
0
3
3
0
1
3
4
2
5
2
2
1
0.840203
11,231,872
2
4
1
-99
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
1
2
-100
0
0
1
0
-100
-100
1
1
0
2
2
2
2
2
2
2
2
2
0
1
0
1
0
2
3
0
1
3
4
2
4
3
7
2
0.723582
11,245,821
2
4
1
15
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
3
2
1
2
2
2
2
2
2
2
2
0
0
1
0
0
0
0
0
0
1
3
2
1
1
2
1
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
4
0
1
0
0
0
2
2
0
3
4
4
1
7
4
2
4
0.497041
11,260,847
2
5
1
10
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
1
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
1
5
-100
-100
1
1
2
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
1
1
1
1
0
3
2
0
3
5
3
1
7
4
2
4
0.604098
11,267,727
2
5
1
12
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
2
2
-100
0
0
0
1
-100
-100
-99
-99
-99
1
1
1
1
-100
-100
-100
-100
2
1
1
0
1
0
2
3
0
2
5
4
2
5
4
2
2
0.338623
11,282,982
2
4
1
12
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
1
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
2
2
-100
0
0
1
0
-100
-100
1
0
0
1
1
1
1
-100
-100
-100
-100
2
1
1
1
1
0
3
3
0
3
5
4
1
7
1
2
3
0.442677
11,311,311
2
9
1
14
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
2
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
1
1
0
1
0
2
2
0
3
5
3
2
2
3
2
3
0.432545
11,312,093
2
1
1
7
-100
-100
-100
-100
1
0
0
-100
-100
-100
-100
-99
0
1
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
1
3
1
2
1
2
-100
0
0
0
1
1
0
0
0
0
1
1
1
1
-100
-100
-100
-100
3
1
0
0
0
0
3
2
1
1
3
1
1
2
4
5
4
0.978135
11,331,682
2
11
1
13
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
4
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
2
2
-100
0
0
1
0
-100
-100
0
0
1
2
2
2
1
2
1
1
-100
2
1
1
1
1
0
2
2
0
3
5
1
2
4
3
2
4
0.73623
11,352,495
2
1
1
14
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
1
2
2
2
2
2
2
2
2
2
2
1
1
0
0
0
0
0
0
0
1
3
2
1
1
2
1
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
1
1
0
1
0
2
3
0
2
4
3
1
5
2
2
3
0.469703
11,354,442
2
13
1
13
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
4
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
2
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
2
1
-100
-100
1
-100
1
-100
-100
-100
-100
-100
3
3
0
2
5
2
1
3
3
2
3
0.351335
11,377,185
2
5
1
12
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
2
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
1
1
1
1
0
3
3
0
2
5
2
2
6
4
2
3
0.647569
11,395,518
2
5
1
14
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
3
2
2
2
2
2
2
2
2
2
2
1
1
0
0
0
0
1
0
0
0
3
2
1
2
2
1
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
1
1
0
1
0
2
3
0
1
4
2
2
4
2
2
1
0.643604
11,437,437
0
-100
-100
-100
-100
-100
2
2
0
0
0
-100
-100
-100
-100
-100
-100
3
1
1
2
2
1
1
1
2
2
1
1
0
0
0
0
1
0
0
0
0
4
1
4
-100
-100
7
2
-100
0
0
0
1
-100
-100
0
0
1
2
4
4
-99
2
3
2
-100
2
0
0
1
0
0
3
3
0
3
4
3
2
3
4
5
4
0.479929
11,454,188
2
12
1
12
-100
-100
-100
-100
1
0
0
-100
-100
-100
-100
1
-100
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
1
4
-100
-100
1
2
-100
1
1
1
0
0
0
1
0
0
1
2
2
1
-100
2
1
-100
2
1
1
1
1
0
3
3
1
1
3
3
1
5
2
3
2
0.742374
11,462,440
2
5
1
11
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
2
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
1
1
1
1
0
2
3
0
3
5
4
2
6
3
2
2
0.443221
11,509,469
2
4
1
-99
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
0
3
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
3
2
1
1
2
1
2
-100
0
0
1
0
-100
-100
0
1
0
3
2
2
2
2
2
2
2
3
1
1
0
1
0
2
1
0
2
3
4
1
3
3
2
3
0.588789
11,540,005
2
6
1
12
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
1
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
1
2
-100
0
0
0
1
-100
-100
1
0
0
2
1
2
1
1
-100
1
-100
2
1
1
0
0
0
3
1
0
1
3
3
1
7
3
2
4
0.672302
11,545,579
2
4
1
13
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
1
4
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
1
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
2
0
0
0
0
1
3
3
0
1
4
4
2
6
3
2
4
0.39601
11,548,111
2
3
1
12
-100
-100
-100
-100
0
0
1
-100
2
-100
-99
-100
0
1
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
2
2
1
2
-100
0
0
0
1
-100
-100
1
0
0
1
1
1
1
-100
-100
-100
-100
2
1
1
1
1
0
2
2
1
3
4
4
1
6
2
4
3
0.539961
11,550,055
2
4
1
9
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
3
2
1
1
2
2
2
3
3
3
3
1
1
0
1
1
0
0
1
0
0
5
-100
1
-100
-100
2
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
1
1
0
1
0
2
2
0
3
5
4
2
5
3
3
3
0.297401
11,582,711
2
6
1
13
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
-100
3
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
5
-100
1
-100
-100
4
2
-100
0
0
0
1
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
0
0
0
1
0
2
3
0
1
4
3
2
3
2
2
4
0.476896
11,585,806
0
-100
-100
-100
-100
-100
3
2
1
0
0
-100
-100
-100
-100
2
99
3
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
4
2
1
-100
-100
1
2
-100
0
1
0
0
1
0
0
1
0
3
2
3
3
3
3
4
2
2
0
0
0
1
0
2
2
1
1
3
4
2
5
4
5
3
0.495343
11,589,954
2
11
1
11
-100
-100
-100
-100
0
0
0
-100
-100
-100
-100
-100
99
2
2
2
2
2
2
2
2
2
2
2
0
1
0
-100
-100
-100
-100
-100
-100
-100
3
2
1
1
1
1
2
-100
1
0
0
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
3
1
1
0
0
0
2
3
0
1
4
4
2
6
2
2
2
0.491279
11,602,074
0
-100
-100
-100
-100
-100
1
60
0
0
0
-100
-100
-100
-100
-100
-100
5
2
1
1
2
2
2
2
2
2
2
0
0
1
0
0
0
0
0
0
1
5
-100
1
-100
-100
2
2
-100
0
0
0
1
-100
-100
0
0
1
3
3
3
3
2
2
2
2
1
-100
-100
-100
-100
-100
3
2
0
2
5
2
1
2
3
2
4
0.435023
11,612,262
0
-100
-100
-100
-100
-100
1
2
0
0
0
-100
-100
-100
-100
-100
0
2
2
2
2
2
2
2
2
2
2
2
0
0
1
-100
-100
-100
-100
-100
-100
-100
3
2
1
1
2
4
2
-100
0
0
1
0
-100
-100
0
0
1
1
1
1
1
-100
-100
-100
-100
4
0
0
0
0
1
2
3
0
1
4
3
1
4
1
2
4
0.494256
End of preview. Expand in Data Studio

HHS COVID-19 Monthly Outcome Survey - Wave 14

Description

The Monthly Outcome Survey (MOS) was designed to assess COVID-19 vaccine uptake as well as beliefs, intentions, and behaviors relevant to COVID-19 vaccination at a point in time. The survey fielded on a monthly basis from January 2021 to April 2023. When the MOS first launched, it focused on the primary series of COVID-19 vaccines; in later waves, it was expanded to assess parents’ intentions to get their children vaccinated or boosted and to track booster and updated vaccine uptake and readiness. The MOS fielded as part of an online omnibus survey, conducted with a cross-sectional sample of approximately 5,000 U.S. adults each month.

Dataset Details

  • Publisher: U.S. Department of Health & Human Services
  • Geographic Coverage: U.S.
  • Last Modified: 2024-11-18
  • Contact: Kelley Smith ([email protected])

Source

Original data can be found at: https://healthdata.gov/d/hnmf-jj4n

Usage

You can load this dataset using:

from datasets import load_dataset
 dataset = load_dataset('HHS-Official/hhs-covid-19-monthly-outcome-survey-wave-14')

License

This dataset is licensed under https://www.usa.gov/government-works

Downloads last month
35