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

Implied PPP conversion rate 2015

#Country/Territoty20082009201020112012201320142015
1Sao Tome and Principe8945.7110438.4811921.4112558.112771.6413067.6713251.5213280.66
2Vietnam6152.66464.297018.467524.057884.468207.618500.098770.46
3Indonesia5435.295840.66142.656402.796654.576863.447026.27154.71
4Iran3983.563988.964380.94851.965223.935548.35894.426272.01
5Zambia3206.63506.363833.784029.114194.624340.364481.694623.85
6Laos3482.53292.413424.563522.243599.633673.593722.493760.9
7Guinea1991.052073.472325.572508.042714.652862.852978.053099.08
8Paraguay2496.062470.442557.332642.632736.282819.742890.342946.43
9Sierra Leone1361.831420.911614.161710.251811.781897.681977.452041.24
10Cambodia1599.451590.271588.71671.311722.721761.71784.051815.71
11Belarus1086.221131.681207.651332.511451.361543.551624.561708.42
12Colombia1192.811240.311226.571236.371259.41278.231294.891309.47
13Madagascar798.101856.786925.387994.3321054.941099.291135.081171.09
14Uzbekistan525.414613.695698.874770.641836.244906.128980.0031058.41
15Lebanon904.291945.755985.1751007.331014.431020.421024.581027.3
16Uganda667.89758.723813.057832.635861.261892.038920.278952.081
17Iraq975.072691.831853.545834.145871.709887.318902.34916.209
18Mongolia638.252646.656771.677824.896837.588826.291829.837850.83
19Korea, South761.912780.39792.1810.838820.819829.233836.996846.485
20Congo, Democratic317.378424.925533.121592.773639.807680.149727.083771.139
21Burundi446.698505.193542.988586.937625.561656.485678.055699.562
22Myanmar424.55449.228474.911504.999537.409570.996605.46641.48
23Tanzania460.129489.592510.867535.903559.35584.622601.543616.018
24Chile364.847376.396408.745419.232429.562429.994430.446430.311
25Costa Rica321.26344.158359.796372.928384.619394.912404.276413.127
26Equatorial Guinea370.069243.481302.35315.631329.085330.381335.55345.445
27Rwanda238.305261.998277.194290.631302.883313.277323.417333.415
28Cote d'Ivory307.057304.319305.922307.673311.524315.269318.272320.739
29Congo368.59291.196343.777360.521358.155342.24327.296308.147
30Gabon307.168246.636286.759298.38304.923305.636304.695302.931
31Central Africa275.81283.085288.935292.065295.167297.776299.796301.577
32Mali259.342266.125273.184277.964281.019284.02286.61288.515
33Senegal270.39265.398266.589268.543270.737272.486273.676274.672
34Comoros235.72244.293251.251256.119260.247264.438268.631272.695
35Togo259.955261.873264.441266.161267.899268.757270.796272.498
36Cameroon255.997245.203251.266255.848260.435264.207266.574267.819
37Niger237.375245.822255.478255.079257.01258.251259.061259.642
38Benin229.18231.753235.142237.791240.314242.577244.233245.728
39Guinea-Bissau229.591230.049233.542235.361236.862238.027238.65239.118
40Armenia189.939190.641203.082208.289214.316220.261225.267230.199
41Chad231.398201.054225.327228.557233.091230.725229.238227.798
42Burkina Faso205.324212.084214.405215.794217.265218.303219.006219.448
43Hungary135.18140.573142.911145.031146.643148.039149.147150.141
44Mauritania135.103125.61143.984147.241146.561148.478147.425147.191
45Iceland114.95124.093135.001138.999140.937144.286145.629146.708
46Yemen96.92987.685107.475116.144127.022135.473141.287146.384
47Nigeria76.73472.6882.76588.66295.695102.849109.541116.504
48Kazakhstan91.58287.52797.04899.049102.528105.447107.582109.923
49Djibouti92.7593.44696.20198.763100.884102.391103.711104.963
50Japan116.357114.225110.784108.03106.198104.352102.785101.433
51Angola59.95755.96368.2773.52178.88886.69993.997100.393
52Guyana79.39981.88184.38985.73189.30991.38193.76296.267
53Cape Verde67.81670.35372.05373.1174.15575.01175.97876.886
54Malawi51.43155.25259.16963.11966.51269.9773.14475.851
55Sri Lanka47.79450.03752.80756.29359.89163.16565.95568.49
56Vanuatu57.49259.38661.10362.18563.09663.95264.73165.442
57Jamaica41.57945.60150.13652.96755.73158.61960.83163.059
58Albania49.66650.62851.78752.73253.66354.48955.21155.824
59Algeria47.18142.0947.58150.55852.75654.59355.89755.717
60Kenya34.63236.67738.61139.67341.69242.87144.79546.249
61Serbia34.13537.20838.76340.36241.60342.62143.58244.501
62Pakistan24.31528.9931.56535.36538.21940.29642.00543.75
63Nepal25.44429.22432.02433.78435.18936.39737.57538.736
64Bangladesh25.64227.05228.37829.46230.53231.51132.38333.167
65Haiti21.80622.2923.85525.82127.67529.28930.67431.798
66Syria26.75924.56926.27127.08427.93328.68129.34329.964
67Philippines23.30423.68124.48325.14325.80726.44727.04827.641
68Afghanistan27.52926.45826.52726.79327.0327.23727.42527.567
69Russia18.19618.47820.28821.79622.81523.89224.83225.723
70Dominican Republic20.51720.93122.06822.96123.79424.26824.81925.363
71Macedonia21.77621.83822.32222.77823.18323.55423.89624.364
72Kyrgyzstan16.06116.2517.59318.34819.57320.7422.04623.016
73India16.18716.46317.70618.65819.4120.11920.81321.512
74Uruguay15.4216.17417.13518.01718.82619.57720.30221.04
75Bhutan16.56117.10317.64918.13618.5819.04819.50219.943
76Mozambique13.03813.3414.44815.06315.72616.36616.99217.634
77Thailand16.60216.78317.15617.26117.36817.45117.50117.526
78Mauritius16.78716.82117.08517.16217.33617.37317.38717.394
79Taiwan17.11117.03216.83216.71816.5516.40316.26316.126
80Eritrea6.3318.2189.62610.8811.9813.18414.50716.034
81Czech Republic14.10714.33914.48714.68614.79114.89514.97615.039
82Maldives9.3719.94610.45310.89611.25911.45211.59711.728
83Norway9.9449.4579.89610.06710.26610.41910.51910.617
84Honduras8.0578.3398.6738.9029.2779.6119.9410.308
85Nicaragua7.2487.5317.8838.2928.6559.1019.5499.997
86Gambia, The7.6588.0738.3998.70599.2939.5789.858
87Sweden9.2029.2979.2849.3499.4129.469.4899.51
88Estonia9.2329.1449.059.0289.0359.0549.0649.066
89Mexico7.8178.0778.3058.4198.5968.7588.8929.031
90Denmark8.4598.4198.5568.6148.678.7148.7358.745
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
These data form the basis for the country weights used to generate the World Economic Outlook country group composites for the domestic economy. Please note: The IMF is not a primary source for purchasing power parity (PPP) data. WEO weights have been National currency per current international dollar.

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