*The figures in this table have been rounded for presentation purposes. Data with greater precision can be obtained from the World Bank's DataBank - ICP 2021 database by clicking on the following link: https://databank.worldbank.org/source/icp-2021/.
East Asia & Pacific (Benchmark)
..
..
..
..
..
..
1.478
1.495
1.548
1.290
1.506
1.491
0.628
0.621
0.674
0.339
0.739
0.629
1,464.891
1,431.472
1,562.289
978.082
1,679.075
1,473.002
4.040
3.848
3.964
3.692
4.422
4.068
0.939
0.930
0.998
0.669
1.009
0.939
6.070
6.147
6.436
5.504
6.094
6.117
4,756.169
4,812.631
5,202.292
3,208.413
5,033.643
4,763.594
105.102
105.407
114.599
75.851
112.179
105.879
872.625
903.678
978.175
659.611
826.621
878.021
2,808.075
2,831.945
3,186.724
1,328.911
3,428.436
2,829.187
1.606
1.570
1.665
1.228
1.755
1.601
801.669
782.386
896.105
357.525
1,013.326
800.674
1.431
1.410
1.558
0.949
1.655
1.444
19.699
18.815
20.105
15.397
23.430
19.794
0.883
1.041
1.099
0.731
0.884
0.952
15.575
15.412
16.551
11.177
17.889
15.840
12.386
11.764
12.549
9.233
14.156
12.318
7,211.600
6,809.124
7,484.667
4,049.551
9,091.448
7,208.771
Europe & Central Asia (Benchmark)
..
..
..
..
..
..
42.255
43.672
51.863
17.852
49.297
42.995
154.787
143.566
166.479
65.706
287.605
157.335
0.775
0.820
0.837
0.726
0.683
0.780
0.499
0.413
0.482
0.204
0.925
0.484
0.607
0.522
0.616
0.265
1.051
0.601
0.776
0.821
0.852
0.736
0.630
0.779
0.681
0.698
0.789
0.408
0.775
0.691
0.676
0.643
0.741
0.358
0.802
0.657
0.441
0.453
0.508
0.277
0.425
0.435
0.615
0.648
0.670
0.575
0.524
0.612
12.425
11.990
13.745
7.578
13.279
12.213
6.872
7.513
7.944
6.075
5.843
7.055
0.535
0.542
0.600
0.350
0.549
0.530
0.864
0.890
0.933
0.712
0.844
0.868
0.770
0.779
0.841
0.628
0.726
0.771
0.808
0.820
0.938
0.385
0.996
0.816
0.745
0.750
0.794
0.633
0.749
0.752
0.575
0.595
0.646
0.439
0.521
0.572
136.037
135.394
150.731
85.854
140.361
132.920
138.277
154.597
157.308
130.571
116.385
141.764
0.794
0.942
0.982
0.742
0.637
0.821
0.690
0.737
0.772
0.625
0.547
0.691
121.614
106.756
125.521
47.063
194.650
118.545
..
..
0.402
..
..
..
16.980
16.114
19.344
6.835
34.667
18.347
0.485
0.494
0.555
0.292
0.503
0.480
0.443
0.433
0.490
0.258
0.507
0.436
0.848
1.004
0.972
1.011
0.675
0.914
5.677
5.374
6.378
2.342
10.845
5.936
0.351
0.364
0.421
0.179
0.425
0.361
0.782
0.829
0.855
0.726
0.689
0.797
18.970
19.056
22.153
9.243
22.398
19.211
9.750
10.333
10.404
9.306
8.895
9.921
1.743
1.666
1.855
1.087
2.045
1.705
0.576
0.609
0.661
0.438
0.484
0.573
1.614
1.596
1.847
0.862
1.772
1.593
24.124
22.042
25.426
12.149
33.962
23.721
40.821
40.881
48.222
18.460
53.158
40.878
0.516
0.533
0.609
0.301
0.518
0.512
0.570
0.601
0.644
0.432
0.504
0.565
0.631
0.673
0.706
0.531
0.533
0.629
8.852
9.502
9.462
8.166
8.160
8.968
1.188
1.372
1.380
1.331
0.951
1.236
2.351
2.270
2.704
0.837
4.222
2.473
1.384
1.387
1.683
0.663
1.438
1.376
6.004
5.759
7.106
2.443
8.951
6.013
0.685
0.750
0.784
0.579
0.545
0.685
1,432.907
1,287.366
1,521.475
..
..
..
Latin America & Caribbean (Benchmark)
..
..
..
..
..
..
2.344
2.492
2.753
1.266
2.639
2.337
2.138
2.226
2.580
1.032
2.514
2.145
10.293
10.074
11.082
5.971
13.531
10.324
1.357
1.388
1.521
0.889
1.387
1.357
1.331
1.333
1.447
0.894
1.442
1.333
2.685
2.460
2.526
2.540
3.698
2.742
..
..
0.817
..
..
..
2.210
2.210
2.379
1.804
1.992
2.210
1.020
1.053
1.108
0.989
1.155
1.086
0.981
1.104
1.176
0.864
0.947
1.064
397.689
417.533
456.988
266.088
380.782
397.518
1,328.017
1,258.431
1,441.741
679.953
1,893.988
1,335.295
340.992
338.343
357.185
236.052
424.228
341.246
1.394
1.388
1.516
0.947
1.424
1.375
1.749
1.716
1.885
1.130
2.104
1.753
20.916
21.538
23.981
11.699
23.490
21.219
0.529
0.540
0.575
0.409
0.528
0.531
0.448
0.473
0.525
0.281
0.462
0.463
1.750
1.689
1.839
1.081
2.282
1.755
3.324
3.461
3.715
..
..
..
104.212
104.013
115.928
52.909
141.669
106.946
10.083
10.200
10.676
9.758
10.737
10.422
68.533
65.331
71.325
43.982
98.833
69.715
8.914
8.776
9.909
4.649
10.960
8.909
1.767
1.857
2.105
0.871
2.469
1.804
10.536
10.205
11.371
5.694
16.277
11.031
0.468
0.443
0.484
0.286
0.603
0.473
2,473.230
2,282.449
2,504.676
1,559.825
3,472.106
2,473.486
1.744
1.755
1.914
1.173
1.851
1.745
2.051
2.216
2.537
0.863
2.170
2.034
1.897
1.826
1.990
1.211
2.456
1.904
1.589
1.651
1.824
0.900
1.792
1.609
2.578
2.641
2.991
1.267
3.411
2.623
4.181
4.125
4.426
3.076
4.672
4.185
23.305
23.491
25.640
16.112
24.417
23.433
Middle East & North Africa (Benchmark)
..
..
..
..
..
..
37.458
33.422
37.928
17.898
61.995
38.305
0.186
0.191
0.206
0.122
0.178
0.185
99.524
91.328
98.482
76.808
115.959
98.243
3.169
3.088
3.422
1.632
6.079
3.411
552.902
532.078
565.770
433.891
592.907
550.185
3.752
4.044
4.214
3.093
3.336
3.791
0.312
0.311
0.337
0.192
0.348
0.311
0.189
0.196
0.191
0.205
0.149
0.189
619.013
695.861
752.772
432.389
460.571
623.488
0.586
0.609
0.643
0.436
0.570
0.582
3.937
4.029
4.254
3.105
3.835
3.956
0.204
0.212
0.216
0.197
0.164
0.203
2.318
2.687
2.887
1.840
1.845
2.350
1.689
1.707
1.743
1.392
1.545
1.674
132.996
181.560
212.344
..
..
..
0.776
0.691
0.742
0.552
1.397
0.800
2.285
2.712
2.790
2.219
1.640
2.356
2.134
1.977
2.144
1.382
2.203
2.005
North America (Benchmark)
..
..
..
..
..
..
1.311
1.532
1.614
1.164
1.434
1.483
1.212
1.235
1.288
1.027
1.159
1.213
1.000
1.000
1.000
1.000
1.000
1.000
South Asia (Benchmark)
..
..
..
..
..
..
29.351
27.110
29.011
23.116
37.088
29.558
19.158
17.916
20.149
9.013
27.558
19.728
20.456
19.181
20.150
19.351
23.893
20.593
8.181
8.998
10.062
4.595
7.831
8.171
30.475
28.269
30.352
25.294
43.171
31.863
33.246
31.172
32.797
30.049
42.948
33.768
49.274
46.192
51.439
24.503
64.251
49.775
Sub-Saharan Africa (Benchmark)
..
..
..
..
..
..
95.837
104.142
115.911
40.311
110.475
95.572
212.266
197.505
215.362
132.378
317.530
215.396
4.682
4.651
5.146
2.804
5.519
4.678
201.595
181.550
193.324
165.648
290.104
205.219
626.168
580.968
641.359
383.858
997.066
640.510
47.982
44.184
48.347
27.835
65.122
47.406
230.585
215.374
235.204
143.493
326.171
232.066
284.034
276.909
307.399
138.371
320.690
280.035
236.583
217.640
232.963
176.775
316.827
236.848
185.248
186.955
211.100
70.922
240.228
186.181
637.266
580.347
634.304
408.747
893.525
638.600
288.932
254.372
283.795
141.218
477.146
288.734
243.186
227.059
242.665
185.147
314.168
243.994
245.970
256.990
302.185
96.341
325.391
242.443
5.983
5.690
6.132
4.168
7.200
5.989
8.336
7.539
8.211
5.695
13.006
8.543
271.626
283.954
320.789
124.718
338.014
270.132
14.688
13.610
14.903
8.378
26.353
15.272
1.694
1.554
1.709
1.034
2.566
1.705
2,819.406
2,573.059
2,814.493
1,714.186
5,198.066
2,910.814
218.428
205.086
227.334
123.680
316.202
220.718
41.279
39.947
43.651
28.877
47.237
41.656
5.441
4.876
5.150
4.859
7.068
5.536
47.336
41.695
45.435
40.798
72.878
48.026
990.840
877.772
946.680
704.485
1,762.766
1,010.696
262.309
230.752
249.105
207.283
447.908
269.304
205.839
183.473
197.893
159.467
320.149
210.193
10.799
10.714
12.030
4.950
15.695
11.149
16.545
16.424
18.298
8.432
19.579
16.485
23.344
21.277
22.612
18.607
32.752
23.917
6.922
6.521
6.945
5.012
7.694
6.820
250.788
228.527
243.664
205.335
320.468
251.683
114.824
106.577
115.950
55.428
193.549
115.689
320.420
275.811
297.619
260.842
530.898
325.037
9.922
9.767
10.875
4.405
12.482
9.843
243.584
221.480
238.208
189.865
327.526
245.160
7.777
7.959
8.996
3.763
8.595
7.620
2,300.201
1,993.286
2,171.895
1,526.125
5,010.718
2,361.160
0.320
0.344
0.377
..
..
..
6.413
6.221
6.659
4.509
7.008
6.395
37.191
33.705
36.785
..
..
..
4.773
4.835
5.458
1.501
6.620
4.762
889.449
740.680
777.596
805.056
1,490.319
893.333
231.840
220.688
241.470
139.592
314.102
233.807
1,251.634
1,105.098
1,219.186
792.993
2,181.076
1,270.448
4.163
3.883
4.228
2.745
5.550
4.176
0.489
0.440
0.474
0.393
0.632
0.487
..
..
..
..
..
..
Results from the International Comparison Program (Benchmark) 2021 cycle include data for the new reference year 2021, revised data for the previous reference year 2017, and purchasing power parities (PPPs) time series for 2018 to 2020. 2021 results are available for 176 participating economies and their aggregate regions. They cover 45 expenditure headings and provide several indicators for each heading, including PPPs, national accounts expenditures in PPP and nominal terms, and price level indices. Imputed results are available for an additional 19 economies that did not participate in the ICP 2021 cycle. Revised 2017 results are available for 178 participating economies and cover 44 expenditure headings and several indicators, including PPPs, national accounts expenditures in PPP and nominal terms, and price level indices. Additionally, imputed results are available for 17 economies that did not participate in the ICP 2017 cycle. Annual PPPs are available for 2017 to 2021 and cover 6 major expenditure headings. 2022-2023 GDP PPP series are also provided beyond the most recent ICP benchmark based on the standard extrapolation approach. PPPs are statistical estimates and should be treated as approximations of true values, subject to sampling, measurement, and classification errors. They should not be used as indicators of currency under- or overvaluation. ICP Results are based on data supplied by participating economies to the global and regional implementing agencies, and produced in accordance with ICP methodology. Results are not deemed to be national official statistics. The standard ICP methodology between the two most recent 2017 and 2021 ICP cycles has been maintained. However, in ICP 2021, the Commonwealth of Independent States (CIS) region was linked through the standard global core list approach, unlike in ICP 2017, when the CIS region was linked through the Russian Federation, which participated in both the OECD and CIS comparisons. For ICP 2017, the Russian Federation results are based on the OECD comparison, and for ICP 2021, they are based on the CIS comparison. Furthermore, the Asia and Pacific region moved to the standard ICP approach for estimating housing PPPs based on rental and volume data during the ICP 2021 cycle. The standard approach was utilized for the revised ICP 2017 results and ICP 2021 results, both at the regional and global levels, instead of the previously utilized reference volume approach. 1/ PPPs are statistical estimates and should be treated as approximations of true values, subject to sampling, measurement, and classification errors. They should not be used as indicators of currency under- or overvaluation. ICP Results are based on data supplied by participating economies to the global and regional implementing agencies, and produced in accordance with ICP methodology. Results are not deemed to be national official statistics. 2/ The standard ICP methodology between the two most recent 2017 and 2021 ICP cycles has been maintained. However, in ICP 2021, the Commonwealth of Independent States (CIS) region was linked through the standard global core list approach, unlike in ICP 2017, when the CIS region was linked through the Russian Federation, which participated in both the OECD and CIS comparisons. For ICP 2017, the Russian Federation results are based on the OECD comparison, and for ICP 2021, they are based on the CIS comparison. Furthermore, the Asia and Pacific region moved to the standard ICP approach for estimating housing PPPs based on rental and volume data during the ICP 2021 cycle. The standard approach was utilized for the revised ICP 2017 results and ICP 2021 results, both at the regional and global levels, instead of the previously utilized reference volume approach. For the time series estimates for 2018-2020, data were complemented with internal estimates by ICP Global Office where participating economies could not provide any of input data required for PPPs time series estimates.
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