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198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015
87哥斯大黎加6.8647.3377.2177.8158.7599.099.80510.5711.30812.413.34314.12815.78717.33218.53419.66220.21421.71823.80826.14527.19228.10529.38931.94534.18937.28241.87746.53548.89248.81251.1353.97257.09260.51864.24868.263
88巴拿马5.3696.4127.1677.1167.5848.1998.6798.777.8578.2819.29810.53411.66812.57713.20813.71915.01116.26317.65418.61519.53520.09120.87122.21724.51526.96830.22134.87939.24840.79843.72547.26651.1555.33959.87465.017
89玻利维亚9.64410.57910.78310.75611.13811.28211.23511.84612.60913.58114.75916.08816.7417.8419.06720.37421.66823.14324.58125.04926.23427.27828.40929.80731.86634.54437.38140.23743.64545.52347.79650.59753.57456.81660.37564.21
90乌拉圭9.9911.13410.7110.76811.05111.55312.85514.27714.98415.72216.37717.55819.39920.35522.29722.43224.13425.827.20926.7926.88426.5425.06826.20428.9332.04834.52438.19242.35743.96748.1451.20954.04457.02260.30563.828
91乌干达3.4713.9434.5274.9364.9684.9655.1235.4826.1416.7817.57.9048.3169.29.99811.35912.62913.55514.2315.61816.82318.09519.99421.74625.91125.86329.58633.01936.67939.67342.31945.44249.0653.1457.77762.966
92土库曼0000000000009.0678.347.0436.6726.3435.7266.1797.3048.84910.89412.81615.3318.08920.35323.41226.89730.3732.5335.88340.48345.42150.32655.03360.09
93喀麦隆8.93911.44413.0614.50616.17518.01519.66419.79918.86819.23418.74618.6818.53918.35118.2719.26720.61522.04923.42424.81526.40428.21929.82631.69633.73234.85737.15239.49341.5242.71744.2246.08448.78151.78355.14658.105
94加纳4.495.4295.495.4396.1016.6187.0177.6048.5339.2359.8310.68611.31912.07412.73313.52114.41115.28216.17917.14418.1719.35820.56622.11123.96226.14128.72831.25934.25135.99738.14342.48346.0649.68853.58757.702
95萨尔瓦多9.72610.0289.96910.52311.06411.46911.74512.38913.05613.67914.89315.97317.58519.29820.89722.69723.52324.95526.18327.48528.68429.83331.02632.42333.83436.37539.14442.0444.00442.83543.6445.31247.28949.91152.78455.868
96科特迪瓦9.45910.70811.38411.53811.73212.52213.41313.73414.36715.3515.76816.33416.67919.26219.70121.23223.39725.17226.5927.47226.76727.37727.38327.50328.69430.02331.22732.65634.14735.75237.15339.14741.44944.08447.25150.954
97卢森堡4.8555.3525.7386.0776.6037.1848.0768.6399.69211.04312.07913.58914.16415.08515.99216.55917.1318.46819.88821.8824.24125.41226.88427.88830.10132.82835.78639.22440.09438.81540.33642.10443.95745.86347.93350.113
98约旦4.3875.6236.3856.497.0237.047.5927.9938.3897.7718.0488.4699.91410.58711.34812.30212.79613.45514.01714.70415.66116.85918.12319.28721.48723.47426.16129.21732.12733.17534.61736.5438.87541.62244.65347.944
99尼泊尔 4.0224.7665.2485.2936.0246.5877.047.3688.2078.8869.65710.63611.33512.03113.29414.04215.07316.14616.80917.82119.3220.86921.23222.54524.05526.02227.77329.56632.05733.92235.23137.08739.01341.20743.72846.664
100阿富汗000000000000000000000011.17213.13913.67315.72117.56920.65421.81326.97629.61632.02634.76737.58940.85844.541
101柬埔寨0000002.9883.7374.2374.5434.7715.3165.8266.1966.8447.4367.9888.5869.11810.35411.50612.72413.78115.27517.21120.14323.0426.1428.49928.19729.81132.25834.80137.61140.78344.318
102洪都拉斯5.8466.5566.8597.0657.6498.218.4529.2229.97910.80411.23212.00812.98414.09814.20715.09515.93317.02417.71517.63619.05420.01521.10322.53724.11125.61628.2130.84832.77332.44233.53735.17637.06839.12241.37443.792
103拉脫維亞00000000000013.70512.41112.95112.94513.66815.0715.97116.73318.27820.19521.8523.92626.68430.40235.23339.88839.0332.31632.29233.80335.61637.59939.76942.075
104巴拉圭5.9677.1247.4537.5128.0148.5768.7899.41210.30811.31912.09612.83913.59314.43715.29116.4616.84117.65117.95417.94817.72318.49818.78819.9321.29823.03524.81727.27529.49528.62131.46933.47335.44237.40739.5641.872
105波扎那1.6091.9032.342.6952.9783.3053.6694.3375.5376.0146.7957.4757.6368.1198.2259.0689.65110.77712.02913.40714.50315.34916.99518.45621.06321.66623.51725.37326.73625.99528.41830.1432.75635.71638.17740.93
106巴林3.1753.5684.0294.4814.8444.9445.0785.1615.6566.1296.8287.1937.8579.0649.2329.79410.3910.90611.55912.23613.15514.07315.04416.48118.09820.35922.42125.01627.17528.27529.66331.40133.35435.49537.85540.542
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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