Clasificaciones mundiales / EXPLORADOR DE DATOS

EL ÍNDICE MUNDIAL #023

PIB (PPA)2023

PIB convertido utilizando paridades de poder adquisitivo, expresado en dólares internacionales corrientes.

World Bank
Año de clasificación comparable2025Último año de publicación: 2025
Economías con datos197 / 217Ninguna observación: 20
País o territorio en primer lugarChina35.549.988.086.663 $ internacionales

Los 10 mejores

$ internacionales · 2023
01China
35.549.988.086.663
02Estados Unidos
27.811.517.000.000
03India
14.169.361.699.612
04Japón
6.565.294.640.128
05Rusia
6.480.856.591.277
06Alemania
6.018.523.537.417
07Brasil
4.474.720.701.758
08Indonesia
4.338.308.807.418
09Francia
4.165.720.740.902
10Reino Unido
4.165.470.729.171

Clasificación completa

Descargar CSV ↓
PIB (PPA) · 2023 · $ internacionales
RangoPaís/territorioValor ($ internacionales)Año
01China35.549.988.086.6632023
02Estados Unidos27.811.517.000.0002023
03India14.169.361.699.6122023
04Japón6.565.294.640.1282023
05Rusia6.480.856.591.2772023
06Alemania6.018.523.537.4172023
07Brasil4.474.720.701.7582023
08Indonesia4.338.308.807.4182023
09Francia4.165.720.740.9022023
10Reino Unido4.165.470.729.1712023
11Turquía3.685.769.235.0192023
12Italia3.559.677.647.1102023
13México3.267.926.340.1442023
14Corea del Sur2.969.845.527.3502023
15España2.691.365.412.0532023
16Canadá2.601.676.541.8392023
17Arabia Saudí2.413.917.173.1822023
18Egipto2.123.505.572.1832023
19Nigeria1.985.244.857.8012023
20Australia1.926.784.790.3652023
21Polonia1.778.349.511.6312023
22Irán1.715.465.961.2622023
23Tailandia1.692.060.914.1842023
24Bangladés1.569.834.703.3422023
25Vietnam1.508.684.816.2462023
26Pakistán1.489.716.315.9002023
27Países Bajos1.437.170.091.4882023
28Argentina1.377.373.008.8502023
29Malasia1.282.002.684.2922023
30Filipinas1.263.215.410.3912023
31Colombia1.113.485.546.8592023
32Sudáfrica961.603.281.2882023
33Rumanía876.458.840.2082023
34Singapur856.451.638.8202023
35Bélgica855.572.977.2302023
36Suiza835.013.969.7882023
37Emiratos Árabes Unidos817.937.250.4302023
38Kazajistán783.663.069.7732023
39Argelia777.329.509.7542023
40Suecia721.315.715.9032023
41Irlanda708.773.959.8262023
42Austria678.135.494.4552023
43Irak660.992.817.4892023
44Chile652.152.910.2112023
45Ucrania623.390.939.7372023
46Chequia609.064.222.1152023
47Noruega594.836.234.7152023
48Perú576.782.393.0452023
49Israel544.663.843.8432023
50RAE de Hong Kong (China)538.975.658.4082023
51Portugal526.796.742.4072023
52Dinamarca460.445.058.4232023
53Hungría444.849.116.2892023
54Grecia443.495.290.4112023
55Uzbekistán416.369.950.1012023
56Etiopía394.237.719.7492023
57Marruecos379.200.564.1582023
58Finlandia354.393.161.5062023
59Angola350.954.000.1852023
60Kenia349.866.773.6892023
61Catar342.694.016.1652023
62Myanmar (Birmania)322.543.473.2722023
63Sri Lanka319.804.100.1452023
64República Dominicana293.040.490.5952023
65Ecuador286.015.688.7092023
66Nueva Zelanda285.738.436.2462023
67Bielorrusia283.238.528.0532023
68Tanzania259.679.988.7332023
69Kuwait257.635.961.7482023
70Ghana255.525.972.8052023
71Bulgaria250.316.793.4512023
72Guatemala249.245.675.1502023
73Eslovaquia248.895.327.4722023
74Azerbaiyán240.355.291.1382023
75Côte d’Ivoire225.737.405.8782023
76Omán211.966.280.7332023
77Serbia197.218.350.3042023
78Croacia184.337.164.5822023
79República Democrática del Congo183.232.966.9352023
80Panamá177.664.712.3312023
81Túnez171.442.514.6762023
82Nepal160.340.672.6842023
83Bolivia157.983.334.1732023
84Camerún153.644.594.6862023
85Puerto Rico152.444.689.6532023
86Lituania151.390.159.2392023
87Uganda150.844.716.1042023
88Costa Rica149.325.852.5862023
89Turkmenistán144.672.364.3322023
90Jordania130.985.532.8792023
91Camboya129.578.876.7672023
92Sudán121.236.329.9602023
93Paraguay120.354.818.5352023
94Eslovenia119.065.338.1422023
95Uruguay117.043.563.3032023
96Luxemburgo101.694.636.7112023
97Baréin101.285.001.0282023
98Libia101.245.419.0512023
99Zimbabue94.711.248.5862023
100Georgia93.231.249.9682023
101Afganistán91.347.125.3382023
102Senegal86.438.861.4952023
103Zambia84.561.143.3692023
104Letonia80.592.320.9172023
105El Salvador79.926.949.3072023
106RAE de Macao (China)79.028.897.1912023
107Honduras76.475.330.6592023
108Mali75.548.153.5822023
109Bosnia y Herzegovina74.455.244.0502023
110Líbano72.660.549.0032023
111Laos71.280.196.9302023
112Estonia66.935.925.2482023
113Armenia63.885.939.6472023
114Burkina Faso63.587.438.1302023
115Mongolia62.729.158.0182023
116Guinea62.481.097.7952023
117Albania59.923.686.1422023
118Benín58.326.126.5122023
119Chipre57.343.530.6342023
120Nicaragua56.819.122.7862023
121Mozambique56.514.089.6172023
122Madagascar56.467.722.6922023
123Chad52.220.761.0542023
124Botsuana52.158.097.4132023
125Kirguistán51.857.293.7712023
126Gabón51.615.957.0772023
127Tayikistán51.613.134.9232023
128Níger49.774.303.2742023
129Ruanda49.104.646.2452023
130Papúa Nueva Guinea48.543.204.7262023
131Trinidad y Tobago47.386.828.7192023
132Macedonia del Norte46.342.710.3012023
133Guyana45.262.779.4352023
134Moldavia43.627.018.8712023
135Congo42.389.388.8332023
136Brunéi39.057.792.9782023
137Malaui38.662.848.0592023
138Haití37.992.125.1122023
139Malta37.089.933.8202023
140Mauricio36.713.891.7562023
141Jamaica35.955.474.6872023
142Mauritania35.014.705.8312023
143Namibia33.328.321.2662023
144Territorios Palestinos31.916.806.4592023
145Islandia31.723.299.2592023
146Guinea Ecuatorial31.402.794.0792023
147Togo29.375.626.5152023
148Somalia28.582.387.0382023
149Sierra Leona28.521.177.1552023
150Kosovo26.615.488.2482023
151Montenegro19.867.425.7352023
152Burundi15.707.609.0192023
153Bahamas15.627.027.6782023
154Esuatini13.916.034.4602023
155Fiyi13.544.497.8002023
156Surinam13.286.850.2972023
157Maldivas13.048.139.8992023
158Bután12.761.862.2742023
159Liberia9.865.552.3682023
160Gambia8.880.884.3712023
161Yibuti8.337.854.0802023
162Bermudas7.349.441.8432023
163Timor-Leste6.659.500.3312023
164Lesoto6.656.102.8082023
165Barbados6.543.419.9022023
166República Centroafricana6.482.417.9262023
167Islas Caimán6.456.207.3502023
168Guinea-Bisáu6.364.243.9222023
169Andorra5.804.635.3242023
170Belice5.649.093.2862023
171Cabo Verde5.354.203.5502023
172Aruba5.101.901.1442023
173Curazao4.744.297.9062023
174Santa Lucía4.706.935.4882023
175Groenlandia4.486.965.8132023
176Islas Feroe4.340.094.1712023
177Seychelles3.820.035.6082023
178Comoras3.313.718.8252023
179Antigua y Barbuda2.976.085.3772023
180San Marino2.668.518.0382023
181Granada2.222.943.9232023
182Sint Maarten2.211.373.8312023
183Islas Salomón2.079.242.4032023
184San Vicente y las Granadinas2.009.863.8032023
185Samoa1.777.202.5922023
186Islas Turcas y Caicos1.633.832.2652023
187San Cristóbal y Nieves1.590.129.0992023
188Santo Tomé y Príncipe1.421.022.6462023
189Dominica1.350.332.7332023
190Vanuatu1.346.297.2192023
191Tonga816.913.2232023
192Micronesia480.561.3852023
193Kiribati467.391.8492023
194Palaos324.639.0462023
195Islas Marshall292.179.0172023
196Nauru156.416.9722023
197Tuvalu57.952.3382023

Cómo funciona este ranking

Para las estadísticas anuales, el valor predeterminado es el año más reciente que cubre al menos el 70 % de la cobertura máxima de países disponible y al menos 20 economías cuando sea posible. Un ranking utiliza un año o edición de informe; las observaciones faltantes no se reemplazan con otro año. Se pueden seleccionar años más nuevos con menor cobertura.

Las tasas de homicidio intencional y las puntuaciones de paz se clasifican de menor a mayor; otros indicadores se clasifican de mayor a menor. Las clasificaciones utilizan valores originales y clasificación de competencia para empates, por ejemplo 1, 2, 2, 4. Filtrar o cambiar el orden de visualización no vuelve a calcular las clasificaciones globales. Los valores más altos no son necesariamente mejores.

Las estadísticas reflejan la instantánea de la fuente pública, no mediciones en vivo. Algunas series son estimaciones modeladas o promedios multianuales. Ver metadatos originales.

Ninguna observación (20)

Corea del Norte · Cuba · Eritrea · Gibraltar · Guam · Isla de Man · Islas Marianas del Norte · Islas Vírgenes Británicas · Islas Vírgenes de EE. UU. · Islas del Canal · Liechtenstein · Mónaco · Nueva Caledonia · Polinesia Francesa · Samoa Americana · San Martín · Siria · Sudán del Sur · Venezuela · Yemen

Fuente y definición

Definición del indicador
PIB convertido utilizando paridades de poder adquisitivo, expresado en dólares internacionales corrientes.
Unidad
$ internacionales
Fuente y definición
World Bank · NY.GDP.MKTP.PP.CD
Abrir fuente original ↗
Metadatos originales
This indicator provides values for gross domestic product (GDP) expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons.  

Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.

{
  "id": "NY.GDP.MKTP.PP.CD",
  "name": "GDP, PPP (current international $)",
  "unit": "",
  "source": {
    "id": "2",
    "value": "World Development Indicators"
  },
  "sourceNote": "This indicator provides values for gross domestic product (GDP) expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons.  \n\nGross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.",
  "sourceOrganization": "International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat, date accessed: Periodical update;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-https://data-explorer.oecd.org/, publisher: OECD, date accessed: Periodical update;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)",
  "topics": [
    {
      "id": "3",
      "value": "Economy & Growth"
    }
  ]
}