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) share of world total 2015

据来自国际货币基金组织(国际货币基金)2010年这些数据, 在不久的将来,直到2015年, 美国仍然享受18.4%股份。中国17%紧随其后。 这两个国家生产约35.4%的产品和服务,超过了全球财富的三分之一。
#国家/地区198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015
112爱沙尼亚00000000000000.030.0280.0280.0290.0310.0320.0310.0320.0340.0360.0370.0380.040.0420.0420.040.0340.0330.0330.0330.0320.0320.032
113塞内加尔0.0360.0370.040.0360.0360.0360.0360.0370.0350.0350.0340.0340.0310.0310.030.0310.030.030.0310.0320.0310.0320.0310.0320.0320.0320.0320.0310.0310.0320.0320.0320.0320.0320.0320.032
114格鲁吉亚000000000000000.0220.0210.0230.0240.0240.0240.0230.0240.0250.0260.0270.0280.0290.0310.0310.030.0290.0290.0290.030.030.03
115布基纳法索0.0210.0210.0210.0210.020.0210.0220.0220.0220.0220.0210.0220.020.0210.020.0210.0220.0230.0240.0240.0240.0250.0250.0260.0240.0250.0260.0250.0260.0270.0270.0270.0270.0280.0280.029
116赤道几内亚0.0010.0010.0010.0010.0010.0010.0010.0010.0010.0010.0010.0010.0010.0010.0010.0010.0020.0060.0070.0080.0090.0150.0170.0190.0260.0270.0260.030.0320.0340.0330.0320.0310.0310.030.029
117赞比亚0.0410.0430.0420.040.0380.0370.0360.0350.0370.0340.0330.0320.030.0290.0250.0230.0240.0240.0230.0220.0220.0230.0230.0230.0230.0230.0240.0240.0250.0260.0270.0270.0280.0280.0290.029
118塞浦路斯0.0230.0240.0250.0260.0270.0270.0270.0280.0290.030.0320.0310.0310.0310.0310.0330.0330.0320.0330.0330.0330.0340.0340.0330.0330.0330.0330.0330.0330.0330.0310.030.030.0290.0290.029
119牙买加0.0580.0590.0610.0620.060.0570.0590.0610.0560.0570.0580.0570.0530.0530.0520.0510.0480.0460.0440.0430.0420.0410.040.040.0390.0380.0370.0360.0350.0340.0330.0320.0310.030.030.029
120加蓬0.050.0470.0490.0490.0490.050.0470.0380.0380.0420.0430.0450.040.040.0410.0410.0410.0420.0420.0370.0350.0350.0340.0330.0320.0320.030.030.030.030.0310.0310.030.030.0290.028
121马达加斯加0.0470.0420.0410.040.0390.0380.0370.0360.0360.0360.0360.0330.0310.0310.030.0290.0290.0290.0290.0290.0290.030.0260.0270.0270.0270.0280.0280.0290.0280.0260.0260.0260.0270.0270.027
122马其顿000000000000.0440.0370.0340.0320.0310.030.0290.0290.030.0290.0280.0270.0270.0270.0270.0260.0270.0270.0270.0270.0260.0260.0260.0260.026
123老挝0.010.0110.0120.0120.0120.0120.0130.0120.0110.0120.0120.0130.0120.0130.0130.0140.0140.0150.0150.0150.0150.0150.0160.0170.0170.0170.0180.0180.0190.0210.0210.0220.0220.0230.0240.025
124马里0.0190.0180.020.0180.0170.0160.0170.0170.0160.0170.0190.020.0180.0180.0180.0180.0190.0190.020.020.0180.020.020.0210.0210.0210.0220.0210.0220.0230.0230.0240.0240.0240.0240.024
125毛里求斯0.0160.0150.0150.0160.0150.0150.0160.0170.0180.0190.0190.020.020.0210.0220.0220.0210.0210.0220.0230.0230.0230.0230.0230.0230.0220.0220.0220.0220.0230.0230.0230.0230.0230.0230.024
126文莱达鲁萨兰国000000.0510.0440.0430.0410.040.0390.040.0380.0370.0370.0380.0370.0350.0340.0340.0330.0340.0340.0340.0320.0310.0310.0290.0280.0280.0270.0260.0260.0250.0240.023
127刚果共和国0.020.020.020.020.020.0190.0190.0190.0220.0260.0250.0250.0240.0230.0210.0210.0210.020.0210.0190.020.020.0210.020.0220.0210.0210.020.0210.0220.0240.0250.0240.0230.0230.022
128乍得0.0160.0140.0140.0160.0160.0170.0170.0170.0180.0180.0180.0190.0180.0170.0170.0170.0160.0170.0170.0170.0160.0170.0180.020.0250.0260.0250.0240.0230.0230.0230.0230.0230.0230.0230.022
129蒙古0.0130.0130.0140.0150.0150.0150.0160.0160.0160.0160.0150.0140.0110.0110.0110.0110.0110.0110.0110.0110.0110.0110.0110.0110.0120.0120.0120.0130.0140.0130.0140.0140.0140.0180.020.022
130尼加拉瓜0.0410.0430.0420.0430.040.0370.0360.0340.0290.0270.0260.0260.0240.0230.0230.0240.0250.0250.0250.0260.0260.0260.0250.0250.0250.0250.0240.0240.0240.0240.0230.0230.0230.0230.0220.022
131亚美尼亚0000000000000.0160.0130.0140.0140.0140.0140.0150.0150.0150.0160.0180.0190.020.0220.0240.0260.0270.0230.0230.0220.0220.0220.0220.022
132巴布亚新几内亚0.0230.0230.0230.0230.0220.0220.0220.0220.0220.020.0190.0210.0210.0250.0250.0240.0240.0220.0220.0220.0210.020.020.020.020.0180.0180.0180.0190.020.020.0210.020.020.0210.021
133塔吉克斯坦0000000000000.0240.0210.0160.0140.0130.0120.0130.0130.0130.0140.0150.0160.0170.0170.0170.0180.0190.020.020.020.020.020.020.02
134马拉威0.0180.0170.0170.0180.0180.0180.0170.0170.0170.0160.0170.0180.0150.0160.0140.0150.0160.0170.0170.0170.0160.0150.0150.0150.0150.0150.0160.0150.0160.0180.0180.0180.0190.0190.020.02
135贝宁0.020.020.020.0190.0180.0180.0180.0170.0170.0160.0170.0170.0160.0170.0160.0170.0170.0170.0180.0180.0180.0190.0190.0190.0190.0190.0180.0180.0190.0190.0190.0190.0190.020.020.02
136纳米比亚00000000000.0180.0180.0180.0170.0180.0180.0180.0180.0180.0180.0180.0170.0180.0180.0190.0190.020.020.020.020.0190.0190.0190.0180.0180.018
137吉尔吉斯斯坦0000000000000.0240.020.0160.0140.0150.0160.0160.0160.0160.0160.0160.0160.0160.0160.0150.0160.0170.0170.0170.0180.0180.0180.0180.018
138卢旺达0.0170.0170.0160.0170.0180.0180.0190.0180.0170.0160.0150.0140.0140.0120.0070.0080.0090.010.010.010.0110.0120.0130.0120.0130.0140.0140.0140.0150.0160.0160.0170.0170.0170.0180.018
139海地0.0430.0430.0420.040.0380.0370.0360.0350.0330.0320.0310.0310.0270.0250.0220.0230.0230.0230.0230.0230.0220.0210.020.020.0180.0180.0170.0170.0170.0170.0150.0150.0160.0160.0160.016
140尼日尔0.0230.0220.0230.0210.0170.0170.0180.0170.0180.0170.0170.0170.0140.0140.0140.0130.0130.0130.0140.0130.0130.0130.0140.0140.0130.0140.0140.0140.0150.0150.0150.0150.0160.0160.0160.016
141冰岛0.0220.0220.0220.0210.0210.0210.0220.0230.0220.0210.0210.020.0180.0180.0180.0170.0170.0170.0180.0180.0180.0180.0180.0180.0180.0190.0190.0190.0180.0170.0160.0160.0160.0150.0150.015
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 Percent.

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