Clasamentul mondial / EXPLORATOR DE DATE

INDEXUL GLOBAL #023

PIB (PPA)2023

PIB convertit folosind paritățile puterii de cumpărare, exprimate în dolari internaționali curenti.

World Bank
An de clasare comparabil2025Ultimul an publicat: 2025
Economii cu date disponibile197 / 217Nicio observaţie: 20
Țara sau teritoriul de pe primul locChina35.549.988.086.663 internațional $

Top 10

internațional $ · 2023
01China
35.549.988.086.663
02Statele Unite ale Americii
27.811.517.000.000
03India
14.169.361.699.612
04Japonia
6.565.294.640.128
05Rusia
6.480.856.591.277
06Germania
6.018.523.537.417
07Brazilia
4.474.720.701.758
08Indonezia
4.338.308.807.418
09Franța
4.165.720.740.902
10Regatul Unit
4.165.470.729.171

Clasament complet

Descărcați CSV ↓
PIB (PPA) · 2023 · internațional $
ClasamentȚara/teritoriuValoare (internațional $)Anul
01China35.549.988.086.6632023
02Statele Unite ale Americii27.811.517.000.0002023
03India14.169.361.699.6122023
04Japonia6.565.294.640.1282023
05Rusia6.480.856.591.2772023
06Germania6.018.523.537.4172023
07Brazilia4.474.720.701.7582023
08Indonezia4.338.308.807.4182023
09Franța4.165.720.740.9022023
10Regatul Unit4.165.470.729.1712023
11Turcia3.685.769.235.0192023
12Italia3.559.677.647.1102023
13Mexic3.267.926.340.1442023
14Coreea de Sud2.969.845.527.3502023
15Spania2.691.365.412.0532023
16Canada2.601.676.541.8392023
17Arabia Saudită2.413.917.173.1822023
18Egipt2.123.505.572.1832023
19Nigeria1.985.244.857.8012023
20Australia1.926.784.790.3652023
21Polonia1.778.349.511.6312023
22Iran1.715.465.961.2622023
23Thailanda1.692.060.914.1842023
24Bangladesh1.569.834.703.3422023
25Vietnam1.508.684.816.2462023
26Pakistan1.489.716.315.9002023
27Țările de Jos1.437.170.091.4882023
28Argentina1.377.373.008.8502023
29Malaysia1.282.002.684.2922023
30Filipine1.263.215.410.3912023
31Columbia1.113.485.546.8592023
32Africa de Sud961.603.281.2882023
33România876.458.840.2082023
34Singapore856.451.638.8202023
35Belgia855.572.977.2302023
36Elveția835.013.969.7882023
37Emiratele Arabe Unite817.937.250.4302023
38Kazahstan783.663.069.7732023
39Algeria777.329.509.7542023
40Suedia721.315.715.9032023
41Irlanda708.773.959.8262023
42Austria678.135.494.4552023
43Irak660.992.817.4892023
44Chile652.152.910.2112023
45Ucraina623.390.939.7372023
46Cehia609.064.222.1152023
47Norvegia594.836.234.7152023
48Peru576.782.393.0452023
49Israel544.663.843.8432023
50R.A.S. Hong Kong, China538.975.658.4082023
51Portugalia526.796.742.4072023
52Danemarca460.445.058.4232023
53Ungaria444.849.116.2892023
54Grecia443.495.290.4112023
55Uzbekistan416.369.950.1012023
56Etiopia394.237.719.7492023
57Maroc379.200.564.1582023
58Finlanda354.393.161.5062023
59Angola350.954.000.1852023
60Kenya349.866.773.6892023
61Qatar342.694.016.1652023
62Myanmar (Birmania)322.543.473.2722023
63Sri Lanka319.804.100.1452023
64Republica Dominicană293.040.490.5952023
65Ecuador286.015.688.7092023
66Noua Zeelandă285.738.436.2462023
67Belarus283.238.528.0532023
68Tanzania259.679.988.7332023
69Kuweit257.635.961.7482023
70Ghana255.525.972.8052023
71Bulgaria250.316.793.4512023
72Guatemala249.245.675.1502023
73Slovacia248.895.327.4722023
74Azerbaidjan240.355.291.1382023
75Côte d’Ivoire225.737.405.8782023
76Oman211.966.280.7332023
77Serbia197.218.350.3042023
78Croația184.337.164.5822023
79Congo - Kinshasa183.232.966.9352023
80Panama177.664.712.3312023
81Tunisia171.442.514.6762023
82Nepal160.340.672.6842023
83Bolivia157.983.334.1732023
84Camerun153.644.594.6862023
85Puerto Rico152.444.689.6532023
86Lituania151.390.159.2392023
87Uganda150.844.716.1042023
88Costa Rica149.325.852.5862023
89Turkmenistan144.672.364.3322023
90Iordania130.985.532.8792023
91Cambodgia129.578.876.7672023
92Sudan121.236.329.9602023
93Paraguay120.354.818.5352023
94Slovenia119.065.338.1422023
95Uruguay117.043.563.3032023
96Luxemburg101.694.636.7112023
97Bahrain101.285.001.0282023
98Libia101.245.419.0512023
99Zimbabwe94.711.248.5862023
100Georgia93.231.249.9682023
101Afganistan91.347.125.3382023
102Senegal86.438.861.4952023
103Zambia84.561.143.3692023
104Letonia80.592.320.9172023
105El Salvador79.926.949.3072023
106R.A.S. Macao, China79.028.897.1912023
107Honduras76.475.330.6592023
108Mali75.548.153.5822023
109Bosnia și Herțegovina74.455.244.0502023
110Liban72.660.549.0032023
111Laos71.280.196.9302023
112Estonia66.935.925.2482023
113Armenia63.885.939.6472023
114Burkina Faso63.587.438.1302023
115Mongolia62.729.158.0182023
116Guineea62.481.097.7952023
117Albania59.923.686.1422023
118Benin58.326.126.5122023
119Cipru57.343.530.6342023
120Nicaragua56.819.122.7862023
121Mozambic56.514.089.6172023
122Madagascar56.467.722.6922023
123Ciad52.220.761.0542023
124Botswana52.158.097.4132023
125Kârgâzstan51.857.293.7712023
126Gabon51.615.957.0772023
127Tadjikistan51.613.134.9232023
128Niger49.774.303.2742023
129Rwanda49.104.646.2452023
130Papua-Noua Guinee48.543.204.7262023
131Trinidad și Tobago47.386.828.7192023
132Macedonia de Nord46.342.710.3012023
133Guyana45.262.779.4352023
134Republica Moldova43.627.018.8712023
135Congo - Brazzaville42.389.388.8332023
136Brunei39.057.792.9782023
137Malawi38.662.848.0592023
138Haiti37.992.125.1122023
139Malta37.089.933.8202023
140Mauritius36.713.891.7562023
141Jamaica35.955.474.6872023
142Mauritania35.014.705.8312023
143Namibia33.328.321.2662023
144Teritoriile Palestiniene31.916.806.4592023
145Islanda31.723.299.2592023
146Guineea Ecuatorială31.402.794.0792023
147Togo29.375.626.5152023
148Somalia28.582.387.0382023
149Sierra Leone28.521.177.1552023
150Kosovo26.615.488.2482023
151Muntenegru19.867.425.7352023
152Burundi15.707.609.0192023
153Bahamas15.627.027.6782023
154Eswatini13.916.034.4602023
155Fiji13.544.497.8002023
156Suriname13.286.850.2972023
157Maldive13.048.139.8992023
158Bhutan12.761.862.2742023
159Liberia9.865.552.3682023
160Gambia8.880.884.3712023
161Djibouti8.337.854.0802023
162Bermuda7.349.441.8432023
163Timor-Leste6.659.500.3312023
164Lesotho6.656.102.8082023
165Barbados6.543.419.9022023
166Republica Centrafricană6.482.417.9262023
167Insulele Cayman6.456.207.3502023
168Guineea-Bissau6.364.243.9222023
169Andorra5.804.635.3242023
170Belize5.649.093.2862023
171Capul Verde5.354.203.5502023
172Aruba5.101.901.1442023
173Curaçao4.744.297.9062023
174Sfânta Lucia4.706.935.4882023
175Groenlanda4.486.965.8132023
176Insulele Feroe4.340.094.1712023
177Seychelles3.820.035.6082023
178Comore3.313.718.8252023
179Antigua și Barbuda2.976.085.3772023
180San Marino2.668.518.0382023
181Grenada2.222.943.9232023
182Sint-Maarten2.211.373.8312023
183Insulele Solomon2.079.242.4032023
184Saint Vincent și Grenadinele2.009.863.8032023
185Samoa1.777.202.5922023
186Insulele Turks și Caicos1.633.832.2652023
187Saint Kitts și Nevis1.590.129.0992023
188São Tomé și Príncipe1.421.022.6462023
189Dominica1.350.332.7332023
190Vanuatu1.346.297.2192023
191Tonga816.913.2232023
192Micronezia480.561.3852023
193Kiribati467.391.8492023
194Palau324.639.0462023
195Insulele Marshall292.179.0172023
196Nauru156.416.9722023
197Tuvalu57.952.3382023

Cum funcționează acest clasament

Pentru statisticile anuale, valoarea implicită este cel mai nou an care acoperă cel puțin 70% din acoperirea maximă disponibilă a țării și cel puțin 20 de economii acolo unde este posibil. Un clasament folosește o ediție de un an sau un raport; observațiile lipsă nu sunt înlocuite cu încă un an. Pot fi selectați ani mai noi cu acoperire mai mică.

Ratele de omucidere intenţionate şi scorurile de pace sunt clasate de la cel mai mic la cel mai mare; alți indicatori se clasează de la cel mai mare la cel mai mic. Clasamentele folosesc valorile originale și clasamentul competiției pentru egalități, de exemplu 1, 2, 2, 4. Filtrarea sau modificarea ordinii de afișare nu recalculează pozițiile globale. Valorile mai mari nu sunt neapărat mai bune.

Statisticile reflectă instantaneul sursei publice, nu măsurătorile în direct. Unele serii sunt estimări modelate sau medii multianuale. Vedeți metadatele originale.

Nicio observaţie (20)

Coreea de Nord · Cuba · Eritreea · Gibraltar · Guam · Insula Man · Insulele Canalului · Insulele Mariane de Nord · Insulele Virgine Americane · Insulele Virgine Britanice · Liechtenstein · Monaco · Noua Caledonie · Polinezia Franceză · Samoa Americană · Sfântul Martin · Siria · Sudanul de Sud · Venezuela · Yemen

Sursă și definiție

Definirea indicatorului
PIB convertit folosind paritățile puterii de cumpărare, exprimate în dolari internaționali curenti.
Unitate
internațional $
Sursă și definiție
World Bank · NY.GDP.MKTP.PP.CD
Deschide sursa originală ↗
Metadate originale
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"
    }
  ]
}