Dataset Viewer
Auto-converted to Parquet
Search is not available for this dataset
FIPS
int64
1k
56k
enthusiast_est
float64
0.08
0.4
enthusiast_se
float64
0
0.11
audience_est
float64
0.2
0.57
audience_se
float64
0
0.44
no_outreach_est
float64
0.19
0.7
no_outreach_se
float64
0
0.33
1,001
0.129564
0.029691
0.364804
0.028206
0.505631
0.052809
1,003
0.145499
0.02277
0.348784
0.047926
0.505716
0.050617
1,005
0.153454
0.047568
0.31375
0.055181
0.532797
0.050647
1,007
0.105372
0.028701
0.353687
0.073962
0.54094
0.083841
1,009
0.111034
0.022903
0.298242
0.023813
0.590724
0.043438
1,011
0.15883
0.047605
0.332837
0.034504
0.508333
0.073614
1,013
0.137216
0.030652
0.307131
0.026871
0.555653
0.017213
1,015
0.137467
0.017143
0.312071
0.017481
0.550461
0.032885
1,017
0.141258
0.042312
0.294177
0.048099
0.564565
0.087629
1,019
0.120382
0.030908
0.354356
0.118523
0.525263
0.130689
1,021
0.098553
0.022806
0.33454
0.035571
0.566907
0.038256
1,023
0.155385
0.075824
0.299946
0.086689
0.54467
0.160387
1,025
0.139592
0.043003
0.318281
0.062308
0.542127
0.103363
1,027
0.110182
0.038278
0.293166
0.072961
0.596652
0.107853
1,029
0.117054
0.028695
0.318833
0.11109
0.564113
0.107177
1,031
0.1264
0.019873
0.316514
0.045784
0.557087
0.059127
1,033
0.132844
0.023763
0.319035
0.017
0.548121
0.033339
1,035
0.080714
0.072257
0.509422
0.181976
0.409864
0.124153
1,037
0.121157
0.038022
0.267271
0.041391
0.611571
0.037375
1,039
0.115938
0.027293
0.305776
0.053019
0.578286
0.074439
1,041
0.120131
0.030687
0.338135
0.039046
0.541734
0.0404
1,043
0.116836
0.019825
0.306863
0.041842
0.576301
0.05293
1,045
0.112374
0.028054
0.282512
0.032032
0.605114
0.045888
1,047
0.151189
0.016625
0.349335
0.052943
0.499475
0.062679
1,049
0.113282
0.035287
0.349099
0.035659
0.537619
0.070406
1,051
0.124401
0.016539
0.33812
0.03261
0.537478
0.042963
1,053
0.124149
0.03656
0.318872
0.079142
0.556979
0.115169
1,055
0.116894
0.024616
0.283402
0.031501
0.599703
0.050107
1,057
0.109585
0.026787
0.306213
0.039336
0.584202
0.059202
1,059
0.112553
0.040091
0.367403
0.038775
0.520044
0.078323
1,061
0.118799
0.040297
0.286362
0.065151
0.59484
0.10457
1,063
0.186873
0.011883
0.340261
0.11253
0.472866
0.10344
1,065
0.154176
0.03923
0.379004
0.074452
0.466819
0.097256
1,067
0.137352
0.028668
0.299513
0.03247
0.563134
0.058765
1,069
0.136685
0.02094
0.312429
0.039881
0.550885
0.057913
1,071
0.118027
0.03499
0.296732
0.020265
0.58524
0.054208
1,073
0.203385
0.023812
0.387199
0.021975
0.409416
0.027977
1,075
0.118893
0.043286
0.296452
0.084852
0.584655
0.125482
1,077
0.140699
0.023827
0.309666
0.034843
0.549635
0.054619
1,079
0.127585
0.036331
0.331174
0.060871
0.541241
0.091943
1,081
0.164032
0.035915
0.40462
0.030688
0.431348
0.057893
1,083
0.135036
0.027857
0.373075
0.058137
0.49189
0.080043
1,085
0.150272
0.066697
0.367344
0.195884
0.482385
0.144191
1,087
0.200913
0.016714
0.350728
0.040621
0.448359
0.032178
1,089
0.194622
0.017295
0.379096
0.031928
0.426282
0.03751
1,091
0.144005
0.017449
0.380428
0.037331
0.475567
0.045233
1,093
0.112095
0.020598
0.316475
0.063529
0.57143
0.077888
1,095
0.108604
0.027784
0.283696
0.014992
0.607699
0.034813
1,097
0.149731
0.020772
0.327417
0.01853
0.522853
0.027265
1,099
0.109589
0.028758
0.354724
0.118263
0.535687
0.134722
1,101
0.204044
0.028792
0.401688
0.021252
0.394268
0.039381
1,103
0.122647
0.021385
0.332243
0.028234
0.545111
0.036625
1,105
0.201152
0.042622
0.349676
0.04262
0.449173
0.021161
1,107
0.121801
0.026254
0.287412
0.037602
0.590787
0.047281
1,109
0.141147
0.023087
0.361386
0.011674
0.497468
0.032434
1,111
0.108262
0.024519
0.309338
0.061638
0.5824
0.080392
1,113
0.149963
0.032876
0.318223
0.035227
0.531814
0.049757
1,115
0.112451
0.029856
0.29505
0.034104
0.592499
0.063264
1,117
0.157799
0.018802
0.36801
0.044129
0.47419
0.046379
1,119
0.231692
0.082742
0.363044
0.068229
0.405265
0.106121
1,121
0.122609
0.017966
0.305733
0.026101
0.571658
0.043132
1,123
0.133203
0.035701
0.296169
0.037088
0.570629
0.070616
1,125
0.150638
0.026003
0.348053
0.017788
0.501309
0.023077
1,127
0.110823
0.029271
0.301711
0.051821
0.587467
0.074213
1,129
0.111376
0.018733
0.385837
0.09096
0.502787
0.099954
1,131
0.159476
0.039173
0.337512
0.081875
0.503012
0.086951
1,133
0.116125
0.025669
0.296167
0.042465
0.587708
0.067596
2,020
0.202889
0.039088
0.345761
0.020724
0.451349
0.031589
2,090
0.19056
0.030072
0.309522
0.040475
0.499918
0.041901
2,110
0.189291
0.037736
0.258696
0.024
0.552014
0.048224
2,122
0.188102
0.04496
0.285786
0.041489
0.526112
0.02975
2,170
0.157392
0.025762
0.262315
0.06281
0.580293
0.045436
4,001
0.174564
0.030046
0.390479
0.054396
0.434957
0.044427
4,003
0.151913
0.016323
0.324778
0.054954
0.523309
0.050131
4,005
0.21259
0.039901
0.44106
0.022583
0.34635
0.048264
4,007
0.154315
0.018112
0.295596
0.039704
0.550089
0.0336
4,009
0.119618
0.025535
0.296089
0.030381
0.584294
0.04807
4,011
0.125153
0.010987
0.339863
0.047166
0.534984
0.057824
4,012
0.161796
0.048469
0.289135
0.066903
0.549069
0.045245
4,013
0.199757
0.018932
0.371824
0.05156
0.428418
0.043778
4,015
0.130113
0.020761
0.295657
0.036075
0.57423
0.050493
4,017
0.164884
0.014783
0.357298
0.049293
0.477818
0.051718
4,019
0.212203
0.028321
0.392556
0.014345
0.395241
0.038269
4,021
0.144567
0.014212
0.305185
0.035233
0.550248
0.040225
4,023
0.176823
0.048488
0.372649
0.030817
0.450527
0.032282
4,025
0.167637
0.018515
0.311969
0.030505
0.520394
0.0444
4,027
0.160815
0.016381
0.344483
0.052665
0.494702
0.050159
5,001
0.11831
0.027428
0.27939
0.023929
0.6023
0.048607
5,003
0.114517
0.025557
0.301894
0.046286
0.583589
0.071008
5,005
0.130125
0.024491
0.325737
0.021339
0.544139
0.040491
5,007
0.15943
0.018646
0.347126
0.013431
0.493444
0.016347
5,009
0.111933
0.023244
0.271986
0.019776
0.616081
0.039901
5,011
0.128879
0.038088
0.340883
0.11586
0.530238
0.150234
5,013
0.100201
0.045345
0.388826
0.140318
0.510973
0.107569
5,015
0.143668
0.027173
0.308154
0.014409
0.548178
0.013562
5,017
0.176641
0.016106
0.32335
0.039068
0.500008
0.02778
5,019
0.153699
0.034815
0.356226
0.065965
0.490075
0.063595
5,021
0.124535
0.027049
0.294285
0.032609
0.58118
0.057979
5,023
0.111474
0.039964
0.314177
0.049842
0.57435
0.079278
5,025
0.116757
0.04965
0.326887
0.02982
0.556356
0.023824
End of preview. Expand in Data Studio

HHS COVID-19 Small Area Estimations Survey - Updated Bivalent Vaccine Audience - Wave 27

Description

The goal of the Monthly Outcome Survey (MOS) Small Area Estimations (SAE) is to generate estimates of the proportions of adults, by county and month, who were in the population of interest for the U.S. Department of Health and Human Services’ (HHS) We Can Do This COVID-19 Public Education Campaign. These data are designed to be used by practitioners and researchers to understand how county-level COVID-19 updated (bivalent) vaccination hesitancy changed over time in the United States.

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/63vp-8m6s

Usage

You can load this dataset using:

from datasets import load_dataset
 dataset = load_dataset('HHS-Official/hhs-covid-19-small-area-estimations-survey-updated')

License

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

Downloads last month
9