国际货币基金会直到2015年世界经济预测 => 2010年预测数据

发表日子 2011-02-03 10:38:48
最后修正 2011-10-13 20:06:10

Gross domestic product based on purchasing-power-parity (PPP) valuation of country GDP 2015

#国家/地区20082009201020112012201320142015
81坦桑尼亚53.85857.62561.90666.93372.8979.50286.92394.682
82危地马拉66.75267.69469.95872.68675.99279.61183.56687.784
83也门55.46358.13563.32966.74170.39674.58179.23384.364
84黎巴嫩49.955.03659.90663.66267.2171.03275.17379.651
85立陶宛64.18655.19856.42258.93961.25564.22667.64871.294
86斯洛文尼亚59.5255.36956.31458.34560.89563.79466.66969.614
87哥斯大黎加48.89248.81251.1353.97257.09260.51864.24868.263
88巴拿马39.24840.79843.72547.26651.1555.33959.87465.017
89玻利维亚43.64545.52347.79650.59753.57456.81660.37564.21
90乌拉圭42.35743.96748.1451.20954.04457.02260.30563.828
91乌干达36.67939.67342.31945.44249.0653.1457.77762.966
92土库曼30.3732.5335.88340.48345.42150.32655.03360.09
93喀麦隆41.5242.71744.2246.08448.78151.78355.14658.105
94加纳34.25135.99738.14342.48346.0649.68853.58757.702
95萨尔瓦多44.00442.83543.6445.31247.28949.91152.78455.868
96科特迪瓦34.14735.75237.15339.14741.44944.08447.25150.954
97卢森堡40.09438.81540.33642.10443.95745.86347.93350.113
98约旦32.12733.17534.61736.5438.87541.62244.65347.944
99尼泊尔 32.05733.92235.23137.08739.01341.20743.72846.664
100阿富汗21.81326.97629.61632.02634.76737.58940.85844.541
101柬埔寨28.49928.19729.81132.25834.80137.61140.78344.318
102洪都拉斯32.77332.44233.53735.17637.06839.12241.37443.792
103拉脫維亞39.0332.31632.29233.80335.61637.59939.76942.075
104巴拉圭29.49528.62131.46933.47335.44237.40739.5641.872
105波扎那26.73625.99528.41830.1432.75635.71638.17740.93
106巴林27.17528.27529.66331.40133.35435.49537.85540.542
107波斯尼亚和黑塞哥维那30.47129.80430.20831.49233.5235.81538.06540.515
108刚果民主共和国20.57521.35222.71824.62426.63929.21131.61334.405
109莫桑比克18.3919.73421.223.09725.19227.5830.2333.18
110塞内加尔22.00622.69523.81825.1926.67328.34330.23132.311
111特立尼达和多巴哥26.5525.84526.427.40228.45329.63230.92832.308
112阿尔巴尼亚21.90922.83923.63224.68525.92427.42229.20131.229
113爱沙尼亚27.29723.71924.36325.54426.75228.04629.44530.898
114格鲁吉亚21.50420.84622.19423.38324.87726.50828.30430.245
115赞比亚17.17718.42819.82821.37523.11625.06527.35329.891
116加蓬21.19821.08922.24623.67324.81426.14927.37428.519
117牙买加24.28323.75923.94524.68325.526.39827.40128.472
118布基纳法索17.96618.71219.71720.91422.35224.08726.08628.274
119塞浦路斯22.90722.71423.01723.74224.66625.75726.95628.25
120赤道几内亚22.29423.69624.13924.97425.69326.78827.4728.162
数据来源:国际货币基金会2010年。

表格 | 图像 | 闪电图像
| 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 | 在业人口 | 人口 | 失业率 | 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 | 增长率 | 中国人
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 Billions Current international dollar.

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