Capital stock, Public private partnership, Constant prices, Purchasing power parity (PPP) international dollar, ICP benchmark 2017 by country
This dataset provides comprehensive data for investment and capital stock for the general government, private sector and public-private partnerships, across the Fund member countries.
What the numbers show
Capital stock, Public private partnership, Constant prices, Purchasing power parity (PPP) international dollar, ICP benchmark 2017 is currently reported for 130 countries. The highest value is 458.65 in India; the lowest is 0.0007 in Comoros.
The median across all reporting countries is 1.6, and the mean is 19.38.
Over the past decade 90 countries rose and 23 fell. The largest increase was in Zambia (up 10,085.5%), and the largest decrease in Seychelles (down 36.6%).
Capital stock, Public private partnership, Constant … Purchasing: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 458.65 | 2019 | up 368.3% | volatile |
| 2 | Brazil | 437.15 | 2019 | up 121.7% | volatile |
| 3 | Turkey | 192.68 | 2019 | up 529.9% | volatile |
| 4 | China | 172.07 | 2019 | up 29.4% | volatile |
| 5 | Indonesia | 131.02 | 2019 | up 35.5% | volatile |
| 6 | United Kingdom | 125.59 | 2019 | up 18.4% | volatile |
| 7 | Mexico | 91.78 | 2019 | up 93.2% | volatile |
| 8 | Malaysia | 74.41 | 2019 | down 10.3% | volatile |
| 9 | Thailand | 62.03 | 2019 | up 33.9% | volatile |
| 10 | Philippines | 61.98 | 2019 | up 41.2% | volatile |
| 11 | Colombia | 48.09 | 2019 | up 211.3% | volatile |
| 12 | Peru | 41.57 | 2019 | up 497.8% | volatile |
| 13 | Pakistan | 40.94 | 2019 | up 61.5% | volatile |
| 14 | Argentina | 38.71 | 2019 | down 16.4% | volatile |
| 15 | France | 36.96 | 2019 | up 268.7% | volatile |
| 16 | Russia | 35.97 | 2019 | up 342.0% | volatile |
| 17 | Laos | 34.57 | 2019 | up 309.4% | volatile |
| 18 | Spain | 33.77 | 2019 | up 19.3% | volatile |
| 19 | South Africa | 29.26 | 2019 | up 294.5% | volatile |
| 20 | Morocco | 28.37 | 2019 | up 69.5% | volatile |
| 21 | Vietnam | 25.11 | 2019 | up 162.3% | volatile |
| 22 | Portugal | 23.8 | 2019 | up 23.5% | volatile |
| 23 | Germany | 15.11 | 2019 | up 70.2% | volatile |
| 24 | Italy | 14.78 | 2019 | up 163.9% | volatile |
| 25 | Greece | 13.22 | 2019 | up 13.9% | volatile |
| 26 | Egypt | 12.27 | 2019 | up 51.0% | volatile |
| 27 | Jordan | 11.93 | 2019 | up 385.2% | volatile |
| 28 | Netherlands | 10.62 | 2019 | up 168.6% | volatile |
| 29 | Romania | 10.48 | 2019 | up 1,038.1% | volatile |
| 30 | Bulgaria | 9.12 | 2019 | up 59.3% | volatile |
| 31 | Bangladesh | 8.66 | 2019 | up 151.0% | volatile |
| 32 | Hungary | 8.6 | 2019 | down 15.9% | volatile |
| 33 | Nigeria | 8.4 | 2019 | up 81.8% | volatile |
| 34 | Algeria | 8.18 | 2019 | up 14.3% | volatile |
| 35 | Honduras | 8.03 | 2019 | up 202.4% | volatile |
| 36 | Poland | 7.57 | 2019 | up 102.3% | volatile |
| 37 | Cambodia | 7.47 | 2019 | up 265.6% | volatile |
| 38 | Ecuador | 7.4 | 2019 | down 2.6% | volatile |
| 39 | Belgium | 6.54 | 2019 | up 638.4% | volatile |
| 40 | Dominican Republic | 5.81 | 2019 | up 24.6% | volatile |
| 41 | Ireland | 5.66 | 2019 | up 127.2% | volatile |
| 42 | Guatemala | 5.49 | 2019 | up 158.9% | volatile |
| 43 | Bolivia | 5.38 | 2019 | down 29.4% | volatile |
| 44 | Ghana | 5.16 | 2019 | up 649.3% | volatile |
| 45 | Kenya | 5.13 | 2019 | up 353.4% | volatile |
| 46 | Nepal | 4.96 | 2019 | up 202.0% | volatile |
| 47 | Sri Lanka | 4.86 | 2019 | up 99.6% | volatile |
| 48 | Myanmar | 4.79 | 2019 | up 110.9% | volatile |
| 49 | Ukraine | 4.36 | 2019 | up 1,344.4% | volatile |
| 50 | Albania | 3.89 | 2019 | up 707.8% | volatile |
| 51 | Zambia | 3.75 | 2019 | up 10,085.5% | volatile |
| 52 | Iraq | 3.69 | 2019 | up 858.7% | volatile |
| 53 | Costa Rica | 3.46 | 2019 | up 93.0% | volatile |
| 54 | Senegal | 3.08 | 2019 | up 824.7% | volatile |
| 55 | Jamaica | 2.92 | 2019 | up 109.5% | volatile |
| 56 | Slovakia | 2.69 | 2019 | — | volatile |
| 57 | Cote d'Ivoire | 2.6 | 2019 | up 78.6% | volatile |
| 58 | Serbia | 2.14 | 2019 | — | volatile |
| 59 | Yemen | 2 | 2019 | up 17.8% | volatile |
| 60 | Mozambique | 1.97 | 2019 | up 29.4% | volatile |
| 61 | Uganda | 1.76 | 2019 | up 115.3% | volatile |
| 62 | Georgia | 1.75 | 2019 | up 312.0% | volatile |
| 63 | Cameroon | 1.66 | 2019 | up 128.6% | volatile |
| 64 | Austria | 1.62 | 2019 | up 15.4% | volatile |
| 65 | Armenia | 1.61 | 2019 | up 191.6% | volatile |
| 66 | Croatia | 1.6 | 2019 | up 183.4% | volatile |
| 67 | Tunisia | 1.59 | 2019 | up 7.2% | volatile |
| 68 | Nicaragua | 1.59 | 2019 | up 130.6% | volatile |
| 69 | Iran | 1.54 | 2019 | down 0.5% | volatile |
| 70 | Kazakhstan | 1.5 | 2019 | down 11.1% | volatile |
| 71 | Tajikistan | 1.48 | 2019 | up 5.8% | volatile |
| 72 | Czechia | 1.48 | 2019 | down 19.0% | volatile |
| 73 | Gabon | 1.39 | 2019 | up 73.7% | volatile |
| 74 | Togo | 1.23 | 2019 | up 130.8% | volatile |
| 75 | Bosnia and Herzegovina | 1.18 | 2019 | — | volatile |
| 76 | Sweden | 1.18 | 2019 | up 178.2% | volatile |
| 77 | Denmark | 1.07 | 2019 | up 2,398.2% | volatile |
| 78 | Maldives | 1.05 | 2019 | — | volatile |
| 79 | Congo | 0.9718 | 2019 | up 29.2% | volatile |
| 80 | Sudan | 0.9655 | 2019 | down 7.2% | volatile |
| 81 | Liberia | 0.9237 | 2019 | — | volatile |
| 82 | Finland | 0.8755 | 2019 | up 98.5% | volatile |
| 83 | Cyprus | 0.8413 | 2019 | up 1.2% | volatile |
| 84 | Bhutan | 0.7895 | 2019 | up 485.7% | volatile |
| 85 | Tanzania | 0.7691 | 2019 | up 4.5% | volatile |
| 86 | El Salvador | 0.7498 | 2019 | up 61.4% | volatile |
| 87 | Mauritius | 0.749 | 2019 | up 178.4% | volatile |
| 88 | Benin | 0.7274 | 2019 | up 321.5% | volatile |
| 89 | Rwanda | 0.6425 | 2019 | up 1,165.2% | volatile |
| 90 | North Macedonia | 0.6151 | 2019 | up 203.9% | volatile |
| 91 | Djibouti | 0.5742 | 2019 | up 5.0% | volatile |
| 92 | Belarus | 0.5411 | 2019 | down 29.8% | volatile |
| 93 | Syria | 0.5287 | 2019 | up 169.3% | volatile |
| 94 | Mongolia | 0.4601 | 2019 | — | volatile |
| 95 | Angola | 0.4182 | 2019 | up 130.3% | volatile |
| 96 | Guinea | 0.3669 | 2019 | up 1,202.3% | volatile |
| 97 | Azerbaijan | 0.3469 | 2019 | down 29.8% | volatile |
| 98 | Zimbabwe | 0.303 | 2019 | up 15.0% | volatile |
| 99 | Montenegro | 0.2672 | 2019 | — | volatile |
| 100 | Madagascar | 0.2656 | 2019 | up 138.2% | volatile |
| 101 | Lebanon | 0.2596 | 2019 | down 29.8% | volatile |
| 102 | Burkina Faso | 0.259 | 2019 | up 347.1% | volatile |
| 103 | East Timor | 0.2364 | 2019 | — | volatile |
| 104 | Uzbekistan | 0.2164 | 2019 | down 29.8% | volatile |
| 105 | Belize | 0.2048 | 2019 | up 17.4% | volatile |
| 106 | Ethiopia | 0.2041 | 2019 | — | volatile |
| 107 | Sierra Leone | 0.1977 | 2019 | — | volatile |
| 108 | Haiti | 0.1871 | 2019 | up 2,053.6% | volatile |
| 109 | Sao Tome and Principe | 0.1688 | 2019 | down 29.8% | volatile |
| 110 | Mali | 0.1548 | 2019 | up 269.6% | volatile |
| 111 | Botswana | 0.1505 | 2019 | — | volatile |
| 112 | Mauritania | 0.1473 | 2019 | — | volatile |
| 113 | Moldova | 0.1329 | 2019 | up 14.5% | volatile |
| 114 | Papua New Guinea | 0.1292 | 2019 | down 29.8% | volatile |
| 115 | Gambia | 0.1132 | 2019 | — | volatile |
| 116 | Paraguay | 0.0952 | 2019 | down 29.8% | volatile |
| 117 | Cape Verde | 0.0793 | 2019 | — | volatile |
| 118 | Lithuania | 0.0718 | 2019 | — | volatile |
| 119 | Namibia | 0.0581 | 2019 | up 863.6% | volatile |
| 120 | Venezuela | 0.0529 | 2019 | down 29.8% | volatile |
| 121 | Seychelles | 0.0422 | 2019 | down 36.6% | volatile |
| 122 | Slovenia | 0.0377 | 2019 | down 36.6% | volatile |
| 123 | Luxembourg | 0.0312 | 2019 | — | volatile |
| 124 | Democratic Republic of Congo | 0.0265 | 2019 | down 22.4% | volatile |
| 125 | Tonga | 0.0162 | 2019 | up 14.2% | volatile |
| 126 | Vanuatu | 0.011 | 2019 | up 8.4% | volatile |
| 127 | Saint Lucia | 0.0083 | 2019 | — | volatile |
| 128 | Niger | 0.0075 | 2019 | down 22.4% | volatile |
| 129 | Malawi | 0.0052 | 2019 | down 22.4% | volatile |
| 130 | Comoros | 0.0007 | 2019 | down 22.4% | volatile |
About this data
This dataset provides comprehensive data for investment and capital stock for the general government, private sector and public-private partnerships, across the Fund member countries.