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ICP 2021


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ICP-Annual-PPPs
*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/.
 
1000000:GROSS DOMESTIC PRODUCT 
9020000:ACTUAL INDIVIDUAL CONSUMPTION 
9100000:HOUSEHOLDS AND NPISHS FINAL CONSUMPTION EXPENDITURE 
9270000:GENERAL GOVERNMENT FINAL CONSUMPTION EXPENDITURE 
1501000:GROSS FIXED CAPITAL FORMATION 
9250000:DOMESTIC ABSORPTION 
East Asia & Pacific (Benchmark)............
Australia1.4781.4951.5481.2901.5061.491
Brunei Darussalam0.6280.6210.6740.3390.7390.629
Cambodia1,464.8911,431.4721,562.289978.0821,679.0751,473.002
China4.0403.8483.9643.6924.4224.068
Fiji0.9390.9300.9980.6691.0090.939
Hong Kong SAR, China6.0706.1476.4365.5046.0946.117
Indonesia4,756.1694,812.6315,202.2923,208.4135,033.6434,763.594
Japan105.102105.407114.59975.851112.179105.879
Korea, Rep.872.625903.678978.175659.611826.621878.021
Lao PDR2,808.0752,831.9453,186.7241,328.9113,428.4362,829.187
Malaysia1.6061.5701.6651.2281.7551.601
Mongolia801.669782.386896.105357.5251,013.326800.674
New Zealand1.4311.4101.5580.9491.6551.444
Philippines19.69918.81520.10515.39723.43019.794
Singapore0.8831.0411.0990.7310.8840.952
Taiwan, China15.57515.41216.55111.17717.88915.840
Thailand12.38611.76412.5499.23314.15612.318
Viet Nam7,211.6006,809.1247,484.6674,049.5519,091.4487,208.771
Europe & Central Asia (Benchmark)............
Albania42.25543.67251.86317.85249.29742.995
Armenia154.787143.566166.47965.706287.605157.335
Austria0.7750.8200.8370.7260.6830.780
Azerbaijan0.4990.4130.4820.2040.9250.484
Belarus0.6070.5220.6160.2651.0510.601
Belgium0.7760.8210.8520.7360.6300.779
Bosnia and Herzegovina0.6810.6980.7890.4080.7750.691
Bulgaria0.6760.6430.7410.3580.8020.657
Croatia0.4410.4530.5080.2770.4250.435
Cyprus0.6150.6480.6700.5750.5240.612
Czechia12.42511.99013.7457.57813.27912.213
Denmark6.8727.5137.9446.0755.8437.055
Estonia0.5350.5420.6000.3500.5490.530
Finland0.8640.8900.9330.7120.8440.868
France0.7700.7790.8410.6280.7260.771
Georgia0.8080.8200.9380.3850.9960.816
Germany0.7450.7500.7940.6330.7490.752
Greece0.5750.5950.6460.4390.5210.572
Hungary136.037135.394150.73185.854140.361132.920
Iceland138.277154.597157.308130.571116.385141.764
Ireland0.7940.9420.9820.7420.6370.821
Italy0.6900.7370.7720.6250.5470.691
Kazakhstan121.614106.756125.52147.063194.650118.545
Kosovo....0.402......
Kyrgyz Republic16.98016.11419.3446.83534.66718.347
Latvia0.4850.4940.5550.2920.5030.480
Lithuania0.4430.4330.4900.2580.5070.436
Luxembourg0.8481.0040.9721.0110.6750.914
Moldova5.6775.3746.3782.34210.8455.936
Montenegro0.3510.3640.4210.1790.4250.361
Netherlands0.7820.8290.8550.7260.6890.797
North Macedonia18.97019.05622.1539.24322.39819.211
Norway9.75010.33310.4049.3068.8959.921
Poland1.7431.6661.8551.0872.0451.705
Portugal0.5760.6090.6610.4380.4840.573
Romania1.6141.5961.8470.8621.7721.593
Russian Federation24.12422.04225.42612.14933.96223.721
Serbia40.82140.88148.22218.46053.15840.878
Slovak Republic0.5160.5330.6090.3010.5180.512
Slovenia0.5700.6010.6440.4320.5040.565
Spain0.6310.6730.7060.5310.5330.629
Sweden8.8529.5029.4628.1668.1608.968
Switzerland1.1881.3721.3801.3310.9511.236
Tajikistan2.3512.2702.7040.8374.2222.473
Turkiye1.3841.3871.6830.6631.4381.376
Ukraine6.0045.7597.1062.4438.9516.013
United Kingdom0.6850.7500.7840.5790.5450.685
Uzbekistan1,432.9071,287.3661,521.475......
Latin America & Caribbean (Benchmark)............
Anguilla2.3442.4922.7531.2662.6392.337
Antigua and Barbuda2.1382.2262.5801.0322.5142.145
Argentina10.29310.07411.0825.97113.53110.324
Aruba1.3571.3881.5210.8891.3871.357
Belize1.3311.3331.4470.8941.4421.333
Bolivia2.6852.4602.5262.5403.6982.742
Bonaire....0.817......
Brazil2.2102.2102.3791.8041.9922.210
British Virgin Islands1.0201.0531.1080.9891.1551.086
Cayman Islands0.9811.1041.1760.8640.9471.064
Chile397.689417.533456.988266.088380.782397.518
Colombia1,328.0171,258.4311,441.741679.9531,893.9881,335.295
Costa Rica340.992338.343357.185236.052424.228341.246
Curacao1.3941.3881.5160.9471.4241.375
Dominica1.7491.7161.8851.1302.1041.753
Dominican Republic20.91621.53823.98111.69923.49021.219
Ecuador0.5290.5400.5750.4090.5280.531
El Salvador0.4480.4730.5250.2810.4620.463
Grenada1.7501.6891.8391.0812.2821.755
Guatemala3.3243.4613.715......
Guyana104.212104.013115.92852.909141.669106.946
Honduras10.08310.20010.6769.75810.73710.422
Jamaica68.53365.33171.32543.98298.83369.715
Mexico8.9148.7769.9094.64910.9608.909
Montserrat1.7671.8572.1050.8712.4691.804
Nicaragua10.53610.20511.3715.69416.27711.031
Panama0.4680.4430.4840.2860.6030.473
Paraguay2,473.2302,282.4492,504.6761,559.8253,472.1062,473.486
Peru1.7441.7551.9141.1731.8511.745
St. Kitts and Nevis2.0512.2162.5370.8632.1702.034
St. Lucia1.8971.8261.9901.2112.4561.904
St. Vincent and the Grenadines1.5891.6511.8240.9001.7921.609
Suriname2.5782.6412.9911.2673.4112.623
Trinidad and Tobago4.1814.1254.4263.0764.6724.185
Uruguay23.30523.49125.64016.11224.41723.433
Middle East & North Africa (Benchmark)............
Algeria37.45833.42237.92817.89861.99538.305
Bahrain0.1860.1910.2060.1220.1780.185
Djibouti99.52491.32898.48276.808115.95998.243
Egypt, Arab Rep.3.1693.0883.4221.6326.0793.411
Iraq552.902532.078565.770433.891592.907550.185
Israel3.7524.0444.2143.0933.3363.791
Jordan0.3120.3110.3370.1920.3480.311
Kuwait0.1890.1960.1910.2050.1490.189
Lebanon619.013695.861752.772432.389460.571623.488
Malta0.5860.6090.6430.4360.5700.582
Morocco3.9374.0294.2543.1053.8353.956
Oman0.2040.2120.2160.1970.1640.203
Qatar2.3182.6872.8871.8401.8452.350
Saudi Arabia1.6891.7071.7431.3921.5451.674
Syrian Arab Republic132.996181.560212.344......
Tunisia0.7760.6910.7420.5521.3970.800
United Arab Emirates2.2852.7122.7902.2191.6402.356
West Bank and Gaza2.1341.9772.1441.3822.2032.005
North America (Benchmark)............
Bermuda1.3111.5321.6141.1641.4341.483
Canada1.2121.2351.2881.0271.1591.213
United States1.0001.0001.0001.0001.0001.000
South Asia (Benchmark)............
Bangladesh29.35127.11029.01123.11637.08829.558
Bhutan19.15817.91620.1499.01327.55819.728
India20.45619.18120.15019.35123.89320.593
Maldives8.1818.99810.0624.5957.8318.171
Nepal30.47528.26930.35225.29443.17131.863
Pakistan33.24631.17232.79730.04942.94833.768
Sri Lanka49.27446.19251.43924.50364.25149.775
Sub-Saharan Africa (Benchmark)............
Angola95.837104.142115.91140.311110.47595.572
Benin212.266197.505215.362132.378317.530215.396
Botswana4.6824.6515.1462.8045.5194.678
Burkina Faso201.595181.550193.324165.648290.104205.219
Burundi626.168580.968641.359383.858997.066640.510
Cabo Verde47.98244.18448.34727.83565.12247.406
Cameroon230.585215.374235.204143.493326.171232.066
Central African Republic284.034276.909307.399138.371320.690280.035
Chad236.583217.640232.963176.775316.827236.848
Comoros185.248186.955211.10070.922240.228186.181
Congo, Dem. Rep.637.266580.347634.304408.747893.525638.600
Congo, Rep.288.932254.372283.795141.218477.146288.734
Cote d'Ivoire243.186227.059242.665185.147314.168243.994
Equatorial Guinea245.970256.990302.18596.341325.391242.443
Eswatini5.9835.6906.1324.1687.2005.989
Ethiopia8.3367.5398.2115.69513.0068.543
Gabon271.626283.954320.789124.718338.014270.132
Gambia, The14.68813.61014.9038.37826.35315.272
Ghana1.6941.5541.7091.0342.5661.705
Guinea2,819.4062,573.0592,814.4931,714.1865,198.0662,910.814
Guinea-Bissau218.428205.086227.334123.680316.202220.718
Kenya41.27939.94743.65128.87747.23741.656
Lesotho5.4414.8765.1504.8597.0685.536
Liberia47.33641.69545.43540.79872.87848.026
Madagascar990.840877.772946.680704.4851,762.7661,010.696
Malawi262.309230.752249.105207.283447.908269.304
Mali205.839183.473197.893159.467320.149210.193
Mauritania10.79910.71412.0304.95015.69511.149
Mauritius16.54516.42418.2988.43219.57916.485
Mozambique23.34421.27722.61218.60732.75223.917
Namibia6.9226.5216.9455.0127.6946.820
Niger250.788228.527243.664205.335320.468251.683
Nigeria114.824106.577115.95055.428193.549115.689
Rwanda320.420275.811297.619260.842530.898325.037
Sao Tome and Principe9.9229.76710.8754.40512.4829.843
Senegal243.584221.480238.208189.865327.526245.160
Seychelles7.7777.9598.9963.7638.5957.620
Sierra Leone2,300.2011,993.2862,171.8951,526.1255,010.7182,361.160
Somalia0.3200.3440.377......
South Africa6.4136.2216.6594.5097.0086.395
South Sudan37.19133.70536.785......
Sudan4.7734.8355.4581.5016.6204.762
Tanzania889.449740.680777.596805.0561,490.319893.333
Togo231.840220.688241.470139.592314.102233.807
Uganda1,251.6341,105.0981,219.186792.9932,181.0761,270.448
Zambia4.1633.8834.2282.7455.5504.176
Zimbabwe0.4890.4400.4740.3930.6320.487
WORLD (Benchmark)............
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.
Source: ICP 2021. Click on a metadata icon for original source information to be used for citation.
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