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

Implied PPP conversion rate 2015

#国家/地区198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015
61塞尔维亚000000000000000000008.96716.47619.92222.17724.3527.20929.19131.12434.13537.20838.76340.36241.60342.62143.58244.501
62巴基斯坦 5.7685.846.026.0966.4436.5376.6066.717.1117.4317.6728.3688.9859.60310.61711.84312.59514.03314.9215.56615.65216.53316.67517.04618.09419.120.43821.38324.31528.9931.56535.36538.21940.29642.00543.75
63尼泊尔 5.9075.8295.7686.6726.9347.5928.4979.30510.05910.78511.49712.49614.46415.67616.09216.75617.72818.65119.21420.60421.08621.15721.63921.83322.31422.65123.55124.61725.44429.22432.02433.78435.18936.39737.57538.736
64孟加拉国11.05511.12311.43812.26713.2914.12415.13316.04316.76417.35117.78117.98117.84217.81718.43419.08619.41219.88120.63120.98220.8920.92121.38921.85722.20222.64523.25224.35925.64227.05228.37829.46230.53231.51132.38333.167
65海地1.5671.5611.5741.651.7591.8822.040.9810.620.5590.6880.7070.691.0743.9515.4825.9166.5547.3987.8038.4829.25110.02312.45814.92516.86618.79819.57921.80622.2923.85525.82127.67529.28930.67431.798
66叙利亚3.533.8183.6683.73.9213.9184.8335.9287.4078.5319.5619.6839.96210.10311.46912.02313.86414.86514.76315.56217.21817.32117.81617.01217.81819.70220.80822.97426.75924.56926.27127.08427.93328.68129.34329.964
67菲律宾4.0444.134.2314.6496.8717.8457.9028.2558.7519.1949.97511.23111.86612.40313.3614.07614.87115.52316.95418.0518.78919.54620.10120.42121.09521.75522.15822.15723.30423.68124.48325.14325.80726.44727.04827.641
68阿富汗000000000000000000000016.06816.54618.86920.49621.94223.46427.52926.45826.52726.79327.0327.23727.42527.567
69俄罗斯0000000000000.0160.1570.6281.5012.1472.4282.8484.846.5217.4288.4439.40711.00812.73614.20515.70418.19618.47820.28821.79622.81523.89224.83225.723
70多米尼加共和国0.8250.8090.820.8411.0061.3521.4471.6082.2322.6593.8525.8866.0736.2396.7337.2167.3247.828.1978.3598.7488.9919.33212.20818.01818.22318.60119.09920.51720.93122.06822.96123.79424.26824.81925.363
71马其顿000000000000.0271.1436.06414.96617.16417.32317.69917.74417.97519.02919.27919.61219.25519.01519.06119.27120.71321.77621.83822.32222.77823.18323.55423.89624.364
72吉尔吉斯斯坦0000000000000.1130.9152.5183.5044.6535.4545.8847.9749.93310.42810.4710.6610.91811.35412.02913.42916.06116.2517.59318.34819.57320.7422.04623.016
73印度4.985.1075.2315.4595.6825.9256.1976.5496.8727.1737.6098.2998.9279.57410.31311.04111.34411.58912.46513.26913.62913.79513.99614.22614.46714.66914.92515.27716.18716.46317.70618.65819.4120.11920.81321.512
74乌拉圭0.010.0120.0130.0180.0270.0460.0770.1290.2010.340.7331.4222.2183.2084.3666.0327.4848.7729.7710.15210.27210.48811.53812.96713.57913.26213.80814.7215.4216.17417.13518.01718.82619.57720.30221.04
75不丹5.7335.4845.5745.7186.0566.2546.5366.3996.9777.1857.3297.6958.2328.7079.63210.18810.82112.01613.13213.90713.92514.36514.73215.00315.05215.73915.97716.19216.56117.10317.64918.13618.5819.04819.50219.943
76莫桑比克0.0670.0460.0510.0550.0620.0810.0890.2430.3490.4960.8910.9771.2911.8412.8244.26.7967.2157.4387.6257.7398.669.1999.53410.11610.90911.80612.31513.03813.3414.44815.06315.72616.36616.99217.634
77泰国13.07712.95812.8312.79312.50812.40412.33712.55512.85713.14613.3813.67413.95714.10414.53215.03115.34215.68816.94616.02615.89815.86815.74315.61615.70215.93216.24116.33716.60216.78317.15617.26117.36817.45117.50117.526
78毛里求斯4.9065.335.5695.7676.0056.3016.6487.0637.6038.0748.6639.1129.0269.369.87610.2410.69711.16411.70212.21712.36712.95513.48913.9914.43314.67715.23216.02516.78716.82117.08517.16217.33617.37317.38717.394
79台湾23.83824.39223.70223.51123.08222.44423.13622.71522.04422.10322.03722.07922.38322.65222.56122.61522.84523.08323.6823.08622.5521.85721.42320.78220.08319.34218.52717.90617.11117.03216.83216.71816.5516.40316.26316.126
80厄立特里亚0000000000001.3361.3361.4771.6161.7541.7951.9392.0722.4312.7363.1273.7314.4444.9575.3475.5736.3318.2189.62610.8811.9813.18414.50716.034
81捷克共和国00000000000000011.16212.08512.87114.13814.32914.23714.614.77314.59714.72914.39514.09614.15514.10714.33914.48714.68614.79114.89514.97615.039
82马尔代夫3.6953.6683.6273.5663.4973.5643.8044.144.1964.2975.2315.7656.3566.9217.3628.3158.4659.3238.9248.9478.8578.7178.6328.4148.2578.1348.1538.5069.3719.94610.45310.89611.25911.45211.59711.728
83挪威6.1236.3226.5836.7746.9327.0756.8767.1637.2627.3937.3917.2937.0737.0796.9186.9837.1397.2127.0767.4358.4178.3738.0948.1588.3988.849.299.2419.9449.4579.89610.06710.26610.41910.51910.617
84洪都拉斯1.0471.0261.011.0391.0351.0581.0751.0741.1061.1411.3321.6211.7271.922.4242.9643.5764.2974.7435.2155.5975.9166.1216.3376.6997.1737.3137.5918.0578.3398.6738.9029.2779.6119.9410.308
85尼加拉瓜0000000000.0010.0651.8972.2882.6962.7953.1043.3393.6024.0614.3714.6454.8724.955.1045.4715.8556.1326.4957.2487.5317.8838.2928.6559.1019.5499.997
86冈比亚1.3291.4721.2591.2381.3171.5612.0712.6812.8053.0763.4153.7753.883.9253.8544.0694.0314.0714.054.1234.1824.715.3816.717.4697.567.3817.4417.6588.0738.3998.70599.2939.5789.858
87瑞典6.7286.7356.8637.2747.5417.88.1298.2848.5178.869.2749.7619.6289.729.779.9269.8219.7979.7399.6849.6149.6249.6169.589.4149.2439.1269.1099.2029.2979.2849.3499.4129.469.4899.51
88爱沙尼亚00000000000002.6473.6214.7835.8386.3286.5836.9297.0897.2977.4217.5737.5377.8138.1968.8019.2329.1449.059.0289.0359.0549.0649.066
89墨西哥0.0150.0180.0270.0480.0740.1150.190.4490.871.0631.3111.5631.7541.8811.9992.6993.4634.0054.575.1835.6875.8886.1986.6516.9597.1277.3817.497.8178.0778.3058.4198.5968.7588.8929.031
90丹麦7.6487.7238.0148.288.4588.5638.6018.7598.8018.9018.8138.7398.688.5498.5018.4328.4418.4598.4648.4818.5518.578.6288.5858.5518.5178.4248.3418.4598.4198.5568.6148.678.7148.7358.745
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 National currency per current international dollar.

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