World Economic Outlook according to the IMF until 2015 => Data 2010

Created 2011-02-03 10:38:48
Updated 2011-10-13 20:06:10

Gross domestic product, current prices 2015

#Country/Territoty20082009201020112012201320142015
1Indonesia4951356.715613441.76311183.777071125.587934145.898863855.939875072.4710958789.29
2Iran3166217.233233303.93639283.44206647.434728257.915251224.525845672.466523259.8
3Vietnam1485038.471658389.371934562.952244156.672550632.972889657.833269108.183689794.02
4Korea, South1026451.81063059.11154138.751249290.661335958.361426008.971522213.081630127.41
5Colombia476972.46504668.44527260.31563044.83607664.3654066.52704101.97757293.4
6Japan505112.9474296.9477327.13478616.65486467.67494200.41503679.94514343.36
7Belarus129790.8136789.8157937.16187522.43216694.15244779.75274061.55306616.38
8Iraq103232.2977030.398439.25108644.16127719.31145167.49166705.39189843.28
9Chile89268.591517.61105270.48115849.69125866.27133659.23142208.6151311.99
10Zambia55078.7564615.5876015.2486122.9696964.69108791.37122587.41138213.29
11India5487359520.0370841.681957.8493278.46106142.44120752.59137348.33
12Uzbekistan37746.74809759657.6271243.0583853.0798233.87115080.97134184.42
13Paraguay73621.6670705.3280476.9688456.8996980.11105478.28114343123372.08
14Laos46214.7147566.653727.260120.7566953.9173872.2381941.192203.57
15Lebanon451245205159017.8664128.268179.8272481.9877021.2181824.92
16Cambodia45582.7944841.4947361.6553913.4559951.566258.6272758.4980467.97
17Russia41428.639100.745014.0351071.7156575.3262694.9669017.5975732.52
18China31404.5434050.738945.8344071.1749388.8155224.9961747.3369004.54
19Myanmar28778.4732242.1436207.0140959.9246385.6152533.8459501.3467397.9
20Nigeria24552.7825102.4430980.8436123.1142365.1749486.4856875.7465249.59
21Uganda24497.4530100.9834407.7737836.9942253.0547403.1953171.1259948.97
22Tanzania24781.6828212.6531625.9635869.6540771.1146478.5752288.1758326
23Guinea20777.812177425390.3128810.232913.8336698.9740448.5244606.74
24Hungary26543.2526094.8426924.8928242.9229807.531457.8233201.2835034.75
25Madagascar16099.4816802.9517951.120093.322612.9425085.6127646.8430488.85
26Kazakhstan16307.0115913.5918755.6420362.8822542.124923.8927492.4230470.32
27Costa Rica15706.916799.0818396.5120127.6221958.8323899.3125973.8728201.39
28Pakistan10242.812739.3414668.4317106.519480.8921886.7824475.9827501.21
29Congo, Democratic6529.919072.8412111.6714596.4117043.7919867.8722985.1426530.94
30Mexico12130.0311821.7212870.2313722.9814907.1716136.2617378.1718669.02
31Algeria10993.810135.611999.3813422.4114779.2616160.8117515.6118508.02
32Mongolia6019.846055.797910.879161.9710011.6112801.715493.118246.99
33United States of America14369.0814119.0514624.1815157.2915824.6916525.5917267.518029.32
34Taiwan12698.512512.6813641.8614331.7115049.0415878.7616801.2317802.44
35Angola6316.25988.77806.29119.3710538.712465.9314496.5116411.46
36Cote d'Ivory1048510880.0211366.0412044.3612912.3213898.4315038.616342.82
37Cameroon10628.910474.411111.0311790.4412704.2113681.3814700.5615561.62
38Sierra Leone5825.556330.287583.568562.959742.510999.1512414.613890.71
39Thailand9075.499050.7210032.4710624.7311297.8112042.3312866.6313780.16
40Philippines7409.377678.928575.839319.6910128.6411007.811963.2813001.69
41Bangladesh5803.096526.837308.748167.749147.1610241.9111451.9912772.7
42Yemen5375.945097.566806.327751.558941.910103.7211194.612349.48
43Sri Lanka4410.684825.095498.436353.397294.238314.579402.3210582.52
44Equatorial Guinea8250.155769.557298.327882.728455.048850.269217.689728.53
45Senegal5950.116023.166349.556764.597221.257723.138273.368874.98
46Gabon6511.235201.256379.327063.467566.457992.028340.848639.36
47Sao Tome and Principe2513.083077.693706.684173.064558.215017.075483.987231.67
48Congo5279.344523.425961.776887.147154.277057.587030.796928.77
49Mali3912.7842324609.245006.665415.855841.766293.796736.15
50Burkina Faso3688.753968.584227.454513.054856.375258.225712.966204.65
51Rwanda2565.292964.073333.193746.464210.064724.975284.85912.4
52Brazil3004.883143.023607.433943.124292.664671.325085.615535.25
53Armenia3568.233102.823469.773770.924100.444456.3648205213.31
54Chad3739.613227.753808.574067.314433.874637.054805.364991.16
55Czech Republic3688.993628.083774.843961.924186.294426.344681.54950.41
56Serbia2722.462904.913098.73363.663690.384049.094442.664851.38
57Benin2992.563130.333295.883499.623752.794060.754406.174781.9
58South Africa2283.822423.322675.832962.343292.613664.754073.514519.55
59Syria2534.522442.272766.963048.623363.933702.274068.764466.91
60Kenya2077.442273.692514.842769.163134.843484.013944.454416.11
61Sweden3213.6631083271.083422.363595.543795.814003.364222.27
62Niger2404.742483.442694.652867.373292.663532.333802.94051.54
63Venezuela667.997700.208983.9871302.681705.392188.782758.433426.68
64Argentina1031.121144.611484.321875.352248.092626.123000.933353.62
65Burundi1386.21637.111844.052109.362386.762669.292944.743247.43
66Norway2516.82380.722528.442652.42804.132953.013091.753239.13
67Dominican Republic1576.161678.761884.452095.452332.232558.812820.833109.68
68Germany2481.22397.12528.312615.842704.012790.812878.72962.44
69Saudi Arabia1786.141409.121626.981782.571947.782112.582276.162458.22
70Hong Kong1675.321632.281760.271890.082016.352156.162306.622456.24
71France1946.861907.231954.372018.052086.792164.372250.732339.91
72Egypt895.51038.6119813871569.251769.961992.572249.53
73Iceland1477.941500.771598.071717.21806.731908.342019.42135.22
74Denmark1737.451662.371738.211813.761890.241968.022045.532124.26
75Togo1415.391482.791560.341647.131744.751849.751970.322098.51
76Canada1599.611527.261623.341710.051795.781877.981959.652039.76
77Ukraine948.056914.721083.21253.391432.291604.971770.891939.26
78Poland1275.431344.041396.241488.511581.761688.381804.251930.41
79United Kingdom1445.581392.711464.721530.731595.971671.191753.121838.69
80Sicily1567.851520.871557.641600.631652.251704.951760.621818.46
Source: International Monetary Fund 2010 (IMF).

Table | Charts | Flash Charts
| BCA | BCA_NGDPD | FLIBOR6 | GGR | GGR_NGDP | GGSB | GGSB_NPGDP | GGX | GGX_NGDP | GGXCNL | GGXCNL_NGDP | GGXONLB | GGXONLB_NGDP | GGXWDG | GGXWDG_NGDP | GGXWDN | GGXWDN_NGDP | Employment | Population | Unemployment rate | NGAP_NPGDP | NGDP | NGDP_D | NGDP_FY | NGDP_R | NGDP_RPCH | NGDPD | NGDPDPC | NGDPPC | NGDPRPC | NGSD_NGDP | NID_NGDP | PCPI | PCPIE | PCPIEPCH | PCPIPCH | PPPEX | PPPGDP | PPPPC | PPPSH | Growth Rate | Chinese
GDP is expressed in billions of national currency units. Billions National currency.

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