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Datasets:
jason1966
/
ajaypalsinghlo_world-happiness-report-2021

Tags:
kaggle
healthcare
religion and belief systems
health
economics
beginner
License:
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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 6 new columns ({'year', 'Healthy life expectancy at birth', 'Log GDP per capita', 'Life Ladder', 'Negative affect', 'Positive affect'}) and 15 missing columns ({'Explained by: Log GDP per capita', 'upperwhisker', 'Explained by: Social support', 'Explained by: Generosity', 'Dystopia + residual', 'Logged GDP per capita', 'Ladder score', 'Explained by: Perceptions of corruption', 'Explained by: Freedom to make life choices', 'lowerwhisker', 'Ladder score in Dystopia', 'Healthy life expectancy', 'Explained by: Healthy life expectancy', 'Regional indicator', 'Standard error of ladder score'}).

This happened while the csv dataset builder was generating data using

hf://datasets/jason1966/ajaypalsinghlo_world-happiness-report-2021/world-happiness-report.csv (at revision a8d3ed95b774e7ac63720cfe46ad7ea8c1ca1ed4), [/tmp/hf-datasets-cache/medium/datasets/85218779860811-config-parquet-and-info-jason1966-ajaypalsinghlo_-0ddfceda/hub/datasets--jason1966--ajaypalsinghlo_world-happiness-report-2021/snapshots/a8d3ed95b774e7ac63720cfe46ad7ea8c1ca1ed4/world-happiness-report-2021.csv (origin=hf://datasets/jason1966/ajaypalsinghlo_world-happiness-report-2021@a8d3ed95b774e7ac63720cfe46ad7ea8c1ca1ed4/world-happiness-report-2021.csv), /tmp/hf-datasets-cache/medium/datasets/85218779860811-config-parquet-and-info-jason1966-ajaypalsinghlo_-0ddfceda/hub/datasets--jason1966--ajaypalsinghlo_world-happiness-report-2021/snapshots/a8d3ed95b774e7ac63720cfe46ad7ea8c1ca1ed4/world-happiness-report.csv (origin=hf://datasets/jason1966/ajaypalsinghlo_world-happiness-report-2021@a8d3ed95b774e7ac63720cfe46ad7ea8c1ca1ed4/world-happiness-report.csv)]

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Country name: string
              year: int64
              Life Ladder: double
              Log GDP per capita: double
              Social support: double
              Healthy life expectancy at birth: double
              Freedom to make life choices: double
              Generosity: double
              Perceptions of corruption: double
              Positive affect: double
              Negative affect: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1736
              to
              {'Country name': Value('string'), 'Regional indicator': Value('string'), 'Ladder score': Value('float64'), 'Standard error of ladder score': Value('float64'), 'upperwhisker': Value('float64'), 'lowerwhisker': Value('float64'), 'Logged GDP per capita': Value('float64'), 'Social support': Value('float64'), 'Healthy life expectancy': Value('float64'), 'Freedom to make life choices': Value('float64'), 'Generosity': Value('float64'), 'Perceptions of corruption': Value('float64'), 'Ladder score in Dystopia': Value('float64'), 'Explained by: Log GDP per capita': Value('float64'), 'Explained by: Social support': Value('float64'), 'Explained by: Healthy life expectancy': Value('float64'), 'Explained by: Freedom to make life choices': Value('float64'), 'Explained by: Generosity': Value('float64'), 'Explained by: Perceptions of corruption': Value('float64'), 'Dystopia + residual': Value('float64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 6 new columns ({'year', 'Healthy life expectancy at birth', 'Log GDP per capita', 'Life Ladder', 'Negative affect', 'Positive affect'}) and 15 missing columns ({'Explained by: Log GDP per capita', 'upperwhisker', 'Explained by: Social support', 'Explained by: Generosity', 'Dystopia + residual', 'Logged GDP per capita', 'Ladder score', 'Explained by: Perceptions of corruption', 'Explained by: Freedom to make life choices', 'lowerwhisker', 'Ladder score in Dystopia', 'Healthy life expectancy', 'Explained by: Healthy life expectancy', 'Regional indicator', 'Standard error of ladder score'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/jason1966/ajaypalsinghlo_world-happiness-report-2021/world-happiness-report.csv (at revision a8d3ed95b774e7ac63720cfe46ad7ea8c1ca1ed4), [/tmp/hf-datasets-cache/medium/datasets/85218779860811-config-parquet-and-info-jason1966-ajaypalsinghlo_-0ddfceda/hub/datasets--jason1966--ajaypalsinghlo_world-happiness-report-2021/snapshots/a8d3ed95b774e7ac63720cfe46ad7ea8c1ca1ed4/world-happiness-report-2021.csv (origin=hf://datasets/jason1966/ajaypalsinghlo_world-happiness-report-2021@a8d3ed95b774e7ac63720cfe46ad7ea8c1ca1ed4/world-happiness-report-2021.csv), /tmp/hf-datasets-cache/medium/datasets/85218779860811-config-parquet-and-info-jason1966-ajaypalsinghlo_-0ddfceda/hub/datasets--jason1966--ajaypalsinghlo_world-happiness-report-2021/snapshots/a8d3ed95b774e7ac63720cfe46ad7ea8c1ca1ed4/world-happiness-report.csv (origin=hf://datasets/jason1966/ajaypalsinghlo_world-happiness-report-2021@a8d3ed95b774e7ac63720cfe46ad7ea8c1ca1ed4/world-happiness-report.csv)]
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Country name
string
Regional indicator
string
Ladder score
float64
Standard error of ladder score
float64
upperwhisker
float64
lowerwhisker
float64
Logged GDP per capita
float64
Social support
float64
Healthy life expectancy
float64
Freedom to make life choices
float64
Generosity
float64
Perceptions of corruption
float64
Ladder score in Dystopia
float64
Explained by: Log GDP per capita
float64
Explained by: Social support
float64
Explained by: Healthy life expectancy
float64
Explained by: Freedom to make life choices
float64
Explained by: Generosity
float64
Explained by: Perceptions of corruption
float64
Dystopia + residual
float64
Finland
Western Europe
7.842
0.032
7.904
7.78
10.775
0.954
72
0.949
-0.098
0.186
2.43
1.446
1.106
0.741
0.691
0.124
0.481
3.253
Denmark
Western Europe
7.62
0.035
7.687
7.552
10.933
0.954
72.7
0.946
0.03
0.179
2.43
1.502
1.108
0.763
0.686
0.208
0.485
2.868
Switzerland
Western Europe
7.571
0.036
7.643
7.5
11.117
0.942
74.4
0.919
0.025
0.292
2.43
1.566
1.079
0.816
0.653
0.204
0.413
2.839
Iceland
Western Europe
7.554
0.059
7.67
7.438
10.878
0.983
73
0.955
0.16
0.673
2.43
1.482
1.172
0.772
0.698
0.293
0.17
2.967
Netherlands
Western Europe
7.464
0.027
7.518
7.41
10.932
0.942
72.4
0.913
0.175
0.338
2.43
1.501
1.079
0.753
0.647
0.302
0.384
2.798
Norway
Western Europe
7.392
0.035
7.462
7.323
11.053
0.954
73.3
0.96
0.093
0.27
2.43
1.543
1.108
0.782
0.703
0.249
0.427
2.58
Sweden
Western Europe
7.363
0.036
7.433
7.293
10.867
0.934
72.7
0.945
0.086
0.237
2.43
1.478
1.062
0.763
0.685
0.244
0.448
2.683
Luxembourg
Western Europe
7.324
0.037
7.396
7.252
11.647
0.908
72.6
0.907
-0.034
0.386
2.43
1.751
1.003
0.76
0.639
0.166
0.353
2.653
New Zealand
North America and ANZ
7.277
0.04
7.355
7.198
10.643
0.948
73.4
0.929
0.134
0.242
2.43
1.4
1.094
0.785
0.665
0.276
0.445
2.612
Austria
Western Europe
7.268
0.036
7.337
7.198
10.906
0.934
73.3
0.908
0.042
0.481
2.43
1.492
1.062
0.782
0.64
0.215
0.292
2.784
Australia
North America and ANZ
7.183
0.041
7.265
7.102
10.796
0.94
73.9
0.914
0.159
0.442
2.43
1.453
1.076
0.801
0.647
0.291
0.317
2.598
Israel
Middle East and North Africa
7.157
0.034
7.224
7.09
10.575
0.939
73.503
0.8
0.031
0.753
2.43
1.376
1.074
0.788
0.509
0.208
0.119
3.083
Germany
Western Europe
7.155
0.04
7.232
7.077
10.873
0.903
72.5
0.875
0.011
0.46
2.43
1.48
0.993
0.757
0.6
0.195
0.306
2.824
Canada
North America and ANZ
7.103
0.042
7.185
7.021
10.776
0.926
73.8
0.915
0.089
0.415
2.43
1.447
1.044
0.798
0.648
0.246
0.335
2.585
Ireland
Western Europe
7.085
0.04
7.164
7.006
11.342
0.947
72.4
0.879
0.077
0.363
2.43
1.644
1.092
0.753
0.606
0.238
0.367
2.384
Costa Rica
Latin America and Caribbean
7.069
0.056
7.179
6.96
9.88
0.891
71.4
0.934
-0.126
0.809
2.43
1.134
0.966
0.722
0.673
0.105
0.083
3.387
United Kingdom
Western Europe
7.064
0.038
7.138
6.99
10.707
0.934
72.5
0.859
0.233
0.459
2.43
1.423
1.062
0.757
0.58
0.34
0.306
2.596
Czech Republic
Central and Eastern Europe
6.965
0.049
7.062
6.868
10.556
0.947
70.807
0.858
-0.208
0.868
2.43
1.37
1.09
0.703
0.58
0.052
0.046
3.124
United States
North America and ANZ
6.951
0.049
7.047
6.856
11.023
0.92
68.2
0.837
0.098
0.698
2.43
1.533
1.03
0.621
0.554
0.252
0.154
2.807
Belgium
Western Europe
6.834
0.034
6.901
6.767
10.823
0.906
72.199
0.783
-0.153
0.646
2.43
1.463
0.998
0.747
0.489
0.088
0.187
2.862
France
Western Europe
6.69
0.037
6.762
6.618
10.704
0.942
74
0.822
-0.147
0.571
2.43
1.421
1.081
0.804
0.536
0.092
0.235
2.521
Bahrain
Middle East and North Africa
6.647
0.068
6.779
6.514
10.669
0.862
69.495
0.925
0.089
0.722
2.43
1.409
0.899
0.662
0.661
0.246
0.139
2.631
Malta
Western Europe
6.602
0.044
6.688
6.516
10.674
0.931
72.2
0.927
0.133
0.653
2.43
1.411
1.055
0.747
0.664
0.275
0.183
2.268
Taiwan Province of China
East Asia
6.584
0.038
6.659
6.51
10.871
0.898
69.6
0.784
-0.07
0.721
2.43
1.48
0.982
0.665
0.49
0.142
0.139
2.687
United Arab Emirates
Middle East and North Africa
6.561
0.039
6.637
6.484
11.085
0.844
67.333
0.932
0.074
0.589
2.43
1.555
0.86
0.594
0.67
0.236
0.223
2.422
Saudi Arabia
Middle East and North Africa
6.494
0.056
6.604
6.384
10.743
0.891
66.603
0.877
-0.149
0.684
2.43
1.435
0.964
0.571
0.603
0.09
0.163
2.668
Spain
Western Europe
6.491
0.042
6.574
6.408
10.571
0.932
74.7
0.761
-0.081
0.745
2.43
1.375
1.057
0.826
0.462
0.135
0.124
2.513
Italy
Western Europe
6.483
0.045
6.572
6.395
10.623
0.88
73.8
0.693
-0.084
0.866
2.43
1.393
0.94
0.798
0.379
0.133
0.047
2.794
Slovenia
Central and Eastern Europe
6.461
0.043
6.546
6.376
10.529
0.948
71.4
0.949
-0.101
0.806
2.43
1.36
1.093
0.722
0.69
0.122
0.085
2.388
Guatemala
Latin America and Caribbean
6.435
0.073
6.577
6.292
9.053
0.813
64.958
0.906
-0.038
0.775
2.43
0.845
0.79
0.519
0.638
0.163
0.105
3.375
Uruguay
Latin America and Caribbean
6.431
0.046
6.521
6.341
9.966
0.925
69.1
0.896
-0.092
0.59
2.43
1.164
1.042
0.649
0.625
0.128
0.223
2.6
Singapore
Southeast Asia
6.377
0.043
6.46
6.293
11.488
0.915
76.953
0.927
-0.018
0.082
2.43
1.695
1.019
0.897
0.664
0.176
0.547
1.379
Kosovo
Central and Eastern Europe
6.372
0.059
6.487
6.257
9.318
0.821
63.813
0.869
0.257
0.917
2.43
0.937
0.807
0.483
0.593
0.356
0.014
3.182
Slovakia
Central and Eastern Europe
6.331
0.041
6.411
6.251
10.369
0.936
69.201
0.766
-0.124
0.911
2.43
1.304
1.066
0.653
0.468
0.107
0.018
2.714
Brazil
Latin America and Caribbean
6.33
0.043
6.415
6.245
9.577
0.882
66.601
0.804
-0.071
0.756
2.43
1.028
0.944
0.571
0.514
0.142
0.117
3.015
Mexico
Latin America and Caribbean
6.317
0.053
6.42
6.213
9.859
0.831
68.597
0.862
-0.147
0.799
2.43
1.126
0.83
0.634
0.585
0.092
0.089
2.961
Jamaica
Latin America and Caribbean
6.309
0.156
6.615
6.004
9.186
0.877
67.5
0.89
-0.137
0.884
2.43
0.891
0.932
0.599
0.618
0.099
0.035
3.135
Lithuania
Central and Eastern Europe
6.255
0.045
6.344
6.167
10.499
0.935
67.906
0.773
-0.203
0.826
2.43
1.35
1.065
0.612
0.476
0.056
0.073
2.624
Cyprus
Western Europe
6.223
0.049
6.319
6.128
10.576
0.802
73.898
0.763
-0.015
0.844
2.43
1.377
0.765
0.801
0.464
0.178
0.061
2.578
Estonia
Central and Eastern Europe
6.189
0.038
6.263
6.115
10.481
0.941
68.8
0.909
-0.106
0.527
2.43
1.344
1.079
0.64
0.641
0.119
0.263
2.103
Panama
Latin America and Caribbean
6.18
0.073
6.323
6.036
10.35
0.896
69.652
0.872
-0.166
0.856
2.43
1.298
0.976
0.667
0.596
0.079
0.053
2.509
Uzbekistan
Commonwealth of Independent States
6.179
0.068
6.312
6.045
8.836
0.918
65.255
0.97
0.311
0.515
2.43
0.769
1.027
0.528
0.716
0.391
0.271
2.477
Chile
Latin America and Caribbean
6.172
0.046
6.262
6.081
10.071
0.882
70
0.742
-0.044
0.83
2.43
1.2
0.946
0.678
0.438
0.159
0.07
2.682
Poland
Central and Eastern Europe
6.166
0.04
6.245
6.087
10.382
0.898
69.702
0.841
-0.165
0.735
2.43
1.309
0.982
0.668
0.558
0.08
0.13
2.438
Kazakhstan
Commonwealth of Independent States
6.152
0.047
6.243
6.06
10.155
0.952
65.2
0.853
-0.069
0.733
2.43
1.23
1.103
0.527
0.573
0.143
0.132
2.446
Romania
Central and Eastern Europe
6.14
0.057
6.253
6.027
10.284
0.832
67.355
0.845
-0.219
0.938
2.43
1.275
0.832
0.595
0.564
0.045
0.001
2.83
Kuwait
Middle East and North Africa
6.106
0.066
6.235
5.977
10.817
0.843
66.9
0.867
-0.104
0.736
2.43
1.461
0.857
0.58
0.591
0.12
0.13
2.368
Serbia
Central and Eastern Europe
6.078
0.053
6.181
5.974
9.787
0.873
68.6
0.778
0.002
0.835
2.43
1.101
0.924
0.634
0.482
0.189
0.066
2.682
El Salvador
Latin America and Caribbean
6.061
0.065
6.188
5.933
9.054
0.762
66.402
0.888
-0.11
0.688
2.43
0.845
0.675
0.565
0.615
0.116
0.16
3.085
Mauritius
Sub-Saharan Africa
6.049
0.059
6.165
5.933
10.008
0.905
66.701
0.867
-0.054
0.789
2.43
1.178
0.996
0.574
0.59
0.153
0.096
2.462
Latvia
Central and Eastern Europe
6.032
0.036
6.103
5.961
10.315
0.927
67.1
0.715
-0.162
0.8
2.43
1.285
1.047
0.587
0.405
0.082
0.089
2.536
Colombia
Latin America and Caribbean
6.012
0.061
6.132
5.892
9.557
0.847
68.001
0.837
-0.135
0.841
2.43
1.021
0.866
0.615
0.554
0.1
0.063
2.794
Hungary
Central and Eastern Europe
5.992
0.047
6.085
5.899
10.358
0.943
68
0.755
-0.186
0.876
2.43
1.301
1.083
0.615
0.454
0.067
0.04
2.432
Thailand
Southeast Asia
5.985
0.047
6.077
5.893
9.805
0.888
67.401
0.884
0.287
0.895
2.43
1.107
0.957
0.596
0.611
0.375
0.028
2.309
Nicaragua
Latin America and Caribbean
5.972
0.083
6.134
5.81
8.62
0.864
67.657
0.836
0.02
0.664
2.43
0.693
0.904
0.604
0.553
0.201
0.176
2.841
Japan
East Asia
5.94
0.04
6.02
5.861
10.611
0.884
75.1
0.796
-0.258
0.638
2.43
1.389
0.949
0.838
0.504
0.02
0.192
2.048
Argentina
Latin America and Caribbean
5.929
0.056
6.04
5.819
9.962
0.898
69
0.828
-0.182
0.834
2.43
1.162
0.98
0.646
0.544
0.069
0.067
2.461
Portugal
Western Europe
5.929
0.055
6.037
5.821
10.421
0.879
72.6
0.892
-0.244
0.887
2.43
1.323
0.939
0.76
0.621
0.029
0.033
2.225
Honduras
Latin America and Caribbean
5.919
0.082
6.081
5.758
8.648
0.812
67.3
0.857
0.081
0.809
2.43
0.703
0.787
0.593
0.578
0.241
0.083
2.934
Croatia
Central and Eastern Europe
5.882
0.048
5.975
5.788
10.217
0.924
70.799
0.754
-0.118
0.939
2.43
1.251
1.039
0.703
0.453
0.111
0
2.325
Philippines
Southeast Asia
5.88
0.052
5.982
5.778
9.076
0.83
62
0.917
-0.097
0.742
2.43
0.853
0.828
0.426
0.651
0.125
0.126
2.872
South Korea
East Asia
5.845
0.042
5.928
5.763
10.651
0.799
73.9
0.672
-0.083
0.727
2.43
1.403
0.758
0.801
0.353
0.134
0.135
2.262
Peru
Latin America and Caribbean
5.84
0.075
5.988
5.692
9.458
0.832
68.25
0.822
-0.154
0.891
2.43
0.986
0.833
0.623
0.536
0.087
0.031
2.744
Bosnia and Herzegovina
Central and Eastern Europe
5.813
0.05
5.911
5.715
9.59
0.87
68.098
0.706
0.113
0.931
2.43
1.032
0.919
0.618
0.395
0.261
0.005
2.583
Moldova
Commonwealth of Independent States
5.766
0.046
5.856
5.677
9.454
0.857
65.699
0.822
-0.079
0.918
2.43
0.985
0.888
0.542
0.536
0.137
0.013
2.665
Ecuador
Latin America and Caribbean
5.764
0.057
5.875
5.653
9.313
0.821
68.8
0.842
-0.124
0.843
2.43
0.935
0.806
0.64
0.56
0.107
0.062
2.653
Kyrgyzstan
Commonwealth of Independent States
5.744
0.046
5.834
5.653
8.538
0.893
64.401
0.935
0.119
0.908
2.43
0.665
0.971
0.501
0.673
0.266
0.02
2.648
Greece
Western Europe
5.723
0.046
5.813
5.632
10.279
0.823
72.6
0.582
-0.288
0.823
2.43
1.273
0.811
0.76
0.243
0
0.074
2.561
Bolivia
Latin America and Caribbean
5.716
0.053
5.819
5.613
9.046
0.81
63.901
0.875
-0.077
0.839
2.43
0.842
0.782
0.486
0.6
0.138
0.064
2.805
Mongolia
East Asia
5.677
0.042
5.76
5.595
9.4
0.935
62.5
0.708
0.116
0.856
2.43
0.966
1.065
0.442
0.397
0.263
0.053
2.492
Paraguay
Latin America and Caribbean
5.653
0.092
5.832
5.473
9.448
0.893
65.9
0.876
0.028
0.882
2.43
0.983
0.97
0.549
0.602
0.206
0.037
2.306
Montenegro
Central and Eastern Europe
5.581
0.054
5.686
5.475
9.94
0.858
68.699
0.708
-0.034
0.812
2.43
1.155
0.891
0.637
0.397
0.166
0.081
2.254
Dominican Republic
Latin America and Caribbean
5.545
0.071
5.685
5.405
9.802
0.853
66.102
0.86
-0.133
0.714
2.43
1.106
0.879
0.555
0.581
0.101
0.144
2.178
North Cyprus
Western Europe
5.536
0.051
5.636
5.435
10.576
0.82
73.898
0.795
0.012
0.626
2.43
1.377
0.806
0.801
0.503
0.196
0.2
1.653
Belarus
Commonwealth of Independent States
5.534
0.047
5.625
5.442
9.853
0.91
66.253
0.65
-0.18
0.627
2.43
1.124
1.007
0.56
0.326
0.07
0.199
2.247
Russia
Commonwealth of Independent States
5.477
0.033
5.541
5.413
10.189
0.903
64.703
0.718
-0.111
0.845
2.43
1.241
0.992
0.511
0.409
0.115
0.06
2.148
Hong Kong S.A.R. of China
East Asia
5.477
0.049
5.573
5.38
11
0.836
76.82
0.717
0.067
0.403
2.43
1.525
0.841
0.893
0.408
0.232
0.342
1.236
Tajikistan
Commonwealth of Independent States
5.466
0.034
5.532
5.4
8.091
0.86
64.281
0.832
-0.056
0.553
2.43
0.508
0.895
0.498
0.548
0.152
0.247
2.619
Vietnam
Southeast Asia
5.411
0.039
5.488
5.334
8.973
0.85
68.034
0.94
-0.098
0.796
2.43
0.817
0.873
0.616
0.679
0.124
0.091
2.211
Libya
Middle East and North Africa
5.41
0.076
5.558
5.262
9.622
0.827
62.3
0.771
-0.087
0.667
2.43
1.044
0.821
0.435
0.474
0.131
0.174
2.331
Malaysia
Southeast Asia
5.384
0.049
5.48
5.289
10.238
0.817
67.102
0.895
0.125
0.839
2.43
1.259
0.797
0.587
0.624
0.27
0.064
1.784
Indonesia
Southeast Asia
5.345
0.056
5.454
5.235
9.365
0.811
62.236
0.873
0.542
0.867
2.43
0.954
0.786
0.433
0.598
0.541
0.046
1.987
Congo (Brazzaville)
Sub-Saharan Africa
5.342
0.097
5.533
5.151
8.117
0.636
58.221
0.695
-0.068
0.745
2.43
0.518
0.392
0.307
0.381
0.144
0.124
3.476
China
East Asia
5.339
0.029
5.397
5.281
9.673
0.811
69.593
0.904
-0.146
0.755
2.43
1.061
0.785
0.665
0.636
0.093
0.117
1.982
Ivory Coast
Sub-Saharan Africa
5.306
0.078
5.46
5.152
8.551
0.644
50.114
0.741
-0.016
0.794
2.43
0.669
0.409
0.052
0.438
0.177
0.092
3.469
Armenia
Commonwealth of Independent States
5.283
0.058
5.397
5.168
9.487
0.799
67.055
0.825
-0.168
0.629
2.43
0.996
0.758
0.585
0.54
0.079
0.198
2.127
Nepal
South Asia
5.269
0.07
5.406
5.132
8.12
0.774
64.233
0.782
0.152
0.727
2.43
0.519
0.702
0.496
0.488
0.287
0.135
2.642
Bulgaria
Central and Eastern Europe
5.266
0.054
5.371
5.16
10.016
0.931
67
0.788
-0.096
0.932
2.43
1.181
1.055
0.583
0.494
0.125
0.005
1.823
Maldives
South Asia
5.198
0.072
5.339
5.057
9.826
0.913
70.6
0.854
0.024
0.825
2.43
1.115
1.015
0.697
0.575
0.204
0.073
1.52
Azerbaijan
Commonwealth of Independent States
5.171
0.04
5.25
5.091
9.569
0.836
65.656
0.814
-0.223
0.506
2.43
1.025
0.841
0.541
0.526
0.043
0.276
1.919
Cameroon
Sub-Saharan Africa
5.142
0.074
5.288
4.996
8.189
0.71
53.515
0.731
0.026
0.848
2.43
0.543
0.556
0.159
0.425
0.205
0.058
3.195
Senegal
Sub-Saharan Africa
5.132
0.068
5.266
4.998
8.118
0.71
59.802
0.695
-0.046
0.801
2.43
0.518
0.558
0.357
0.381
0.158
0.088
3.071
Albania
Central and Eastern Europe
5.117
0.059
5.234
5.001
9.52
0.697
68.999
0.785
-0.03
0.901
2.43
1.008
0.529
0.646
0.491
0.168
0.024
2.25
North Macedonia
Central and Eastern Europe
5.101
0.051
5.202
5.001
9.693
0.805
65.474
0.751
0.038
0.905
2.43
1.068
0.772
0.535
0.45
0.212
0.022
2.042
Ghana
Sub-Saharan Africa
5.088
0.067
5.219
4.958
8.58
0.727
57.586
0.807
0.123
0.848
2.43
0.68
0.595
0.287
0.517
0.268
0.058
2.684
Niger
Sub-Saharan Africa
5.074
0.102
5.273
4.875
7.098
0.641
53.78
0.806
0.018
0.693
2.43
0.162
0.402
0.167
0.516
0.2
0.157
3.47
Turkmenistan
Commonwealth of Independent States
5.066
0.036
5.136
4.996
9.629
0.983
62.409
0.877
0.273
0.888
2.43
1.046
1.172
0.439
0.602
0.366
0.033
1.409
Gambia
Sub-Saharan Africa
5.051
0.089
5.225
4.877
7.686
0.69
55.16
0.697
0.424
0.746
2.43
0.367
0.511
0.21
0.384
0.465
0.123
2.99
Benin
Sub-Saharan Africa
5.045
0.073
5.189
4.901
8.087
0.489
54.713
0.757
-0.034
0.661
2.43
0.507
0.058
0.196
0.457
0.166
0.178
3.482
Laos
Southeast Asia
5.03
0.045
5.119
4.941
8.947
0.728
58.968
0.91
0.123
0.658
2.43
0.808
0.598
0.33
0.643
0.268
0.179
2.204
End of preview.

World Happiness Report 2021

World Happiness Report

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