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

Output gap in percent of potential GDP 2015

#国家/地区198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015
1德国1.014-0.795-3.473-3.954-3.375-3.548-3.665-4.807-3.935-2.926-0.1561.1311.038-1.914-0.591-0.186-1.008-0.898-0.4330.1021.7661.335-0.186-1.696-1.828-2.219-0.1241.321.108-4.334-2.222-1.525-0.923-0.3930.1090.213
2西西里13.3452.088-0.058-1.866-1.397-1.298-1.088-0.4821.2122.2852.2011.760.698-1.901-1.449-0.309-0.829-0.566-0.737-0.8081.3541.770.908-0.3380.02-0.420.7511.484-0.501-3.684-2.974-2.587-1.813-1.164-0.5360.017
3海地000000000000000000000000000000000000
4缅甸000000000000000000000000000000000000
5台湾000000000000000000000000000000000000
6澳大利亚1.4642.990.544-2.636-0.3691.2120.2950.6970.6842.0120.975-2.034-1.743-0.9150.366-0.1360.004-0.1960.6250.830.381-0.562-0.102-0.240.0620.03-0.5381.2030.618-0.828-0.440.0510000
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40巴贝多000000000000000000000000000000000000
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42西班牙-0.838-2.955-3.427-3.632-3.878-3.653-3.527-0.9371.3253.4044.4234.1822.307-1.651-1.905-0.45-1.982-1.0120.311.3842.5492.1050.8780.6270.9671.7773.0293.8962.347-2.842-3.596-3.3180000
43厄立特里亚000000000000000000000000000000000000
44白俄罗斯000000000000000000000000000000000000
45蒙古000000000000000000000000000000000000
46挪威0.032-0.478-2.28-2.477-0.9872.74.3623.9891.185-2.025-2.89-3.448-3.149-2.891-2.178-1.854-0.9620.911.7681.1380.888-0.178-1.835-3.581-2.351-0.8610.9783.4922.694-0.783-1.391-1.0560000
47突尼斯000000000000000000000000000000000000
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62坦桑尼亚000000000000000000000000000000000000
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64爱尔兰-6.52-7.56-8.193-8.422-8.49-8.487-8.256-7.963-7.708-7.424-6.564-5.656-5.601-6-6.164-7.419-7.414-6.689-4.197-2.4340.089-0.5680.039-0.805-0.9010.9232.7996.4532.166-6.048-6.77-5.1210000
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70奥地利0.671-1.69-1.586-0.615-2.432-2.199-1.5680.088-1.476-0.4730.9331.6531.117-0.777-0.833-0.621-0.785-1.132-0.1150.6981.9540.286-0.137-1.355-0.909-0.5560.9842.9063.64-1.534-1.066-0.6510000
71萨摩亚000000000000000000000000000000000000
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75比利时1.8730.061-0.621-1.17-1.547-1.532-1.31-1.5610.3381.4822.1081.5580.856-2.034-1.13-0.796-1.793-0.34-0.80.2491.5-0.024-0.549-1.409-0.0370.231.0751.9751.476-2.098-1.585-1.0860000
76阿曼 000000000000000000000000000000000000
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84荷兰-0.335-2.051-4.631-4.526-3.431-2.743-2.132-2.924-2.782-1.0120.296-0.156-1.456-3.546-3.567-3.309-2.954-1.783-0.8690.9392.5222.081-0.026-1.571-1.149-0.910.6422.7383.023-1.699-0.994-0.6270000
85中国000000000000000000000000000000000000
86新加坡000000000000000000000000000000000000
87马耳他1.8862.1190.1630.758-0.7-1.286-1.484-0.8440.1331.064-0.393-0.6521.236-0.497-1.3240.27-0.3210.5810.9612.6830.532-1.774-0.007-1.436-2.197-0.4590.7732.32.774-0.993-1.033-1.1670000
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91以色列000000000000000000000000000000000000
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93克罗地亚000000000000000000000000000000000000
94圣基茨和尼维斯000000000000000000000000000000000000
95几内亚比绍000000000000000000000000000000000000
96喀麦隆000000000000000000000000000000000000
97阿塞拜疆共和国000000000000000000000000000000000000
98圣多美和普林西比000000000000000000000000000000000000
99埃塞俄比亚000000000000000000000000000000000000
100马其顿000000000000000000000000000000000000
101瑞典0.01-1.95-2.56-2.55-0.210.331.423.033.784.493.440.5-2.46-5.35-3.68-1.21-2.28-2.42-0.941.1731.420.670.241.361.332.112.61.44-4.8-2.56-1.520000
102伯了兹000000000000000000000000000000000000
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105基里巴斯000000000000000000000000000000000000
106黑山000000000000000000000000000000000000
107安提瓜 和 巴布达000000000000000000000000000000000000
108巴西000000000000000000000000000000000000
109葡萄牙4.584.0352.7910.4-3.962-5.798-6.254-2.983-1.8310.5694.2983.8433.352-0.764-2.5-3.338-2.854-1.6840.3141.6453.1393.0071.929-0.496-0.177-0.4350.1641.8691.291-1.756-1.246-1.8840000
110哥伦比亚000000000000000000000000000000000000
111乌兹别克斯坦000000000000000000000000000000000000
112厄瓜多尔000000000000000000000000000000000000
113新西兰8.74210.27411.2237.71910.905-0.2440.7631.8470.8811.340.796-1.993-3.192-1.190.8811.5462.1021.159-1.775-0.6590.238-0.0661.1351.5332.5412.6540.9831.337-0.678-3.738-2.791-1.7620000
114斯洛伐克0000000000000-0.588-0.4610-0.9480.4820.517-1.985-1.58-0.6140.1050.041-0.0510.4241.13221.5-3.755-2.958-1.80000
115毛利塔尼亚000000000000000000000000000000000000
116冰岛000000000000000000000000000000000000
117东帝汶000000000000000000000000000000000000
118黎巴嫩000000000000000000000000000000000000
119巴哈马000000000000000000000000000000000000
120刚果共和国000000000000000000000000000000000000
121塞浦路斯2.408-0.722-0.651-1.4810.95-0.414-2.896-2.196-0.4451.2882.74-1.8981.887-2.37-1.5593.1690.452-1.515-0.793-0.1290.891.188-0.185-1.606-0.817-0.2650.6712.9414.2510.572-0.707-0.7540000
122圣卢西亚000000000000000000000000000000000000
123斐濟000000000000000000000000000000000000
124巴拿马000000000000000000000000000000000000
125加拿大1.0612.103-3.235-3.34-0.9130.376-0.5710.52.072.6321.5-1.596-1.937-1.440.8020.629-1.127-1.202-0.7390.9742.5641.1331.3320.5511.0951.4721.7411.6820.061-3.826-2.391-1.549-0.738-0.258-0.0610
126沙特阿拉伯000000000000000000000000000000000000
127马达加斯加000000000000000000000000000000000000
128瑞士000000000000000000000000000000000000
129阿根廷000000000000000000000000000000000000
130乌干达000000000000000000000000000000000000
131韩国000000000000000000000000000000000000
132摩洛哥000000000000000000000000000000000000
133加纳000000000000000000000000000000000000
134文莱达鲁萨兰国000000000000000000000000000000000000
135卡塔尔000000000000000000000000000000000000
136克么罗群岛000000000000000000000000000000000000
137瓦努阿图000000000000000000000000000000000000
138斯洛文尼亚000000000000000-0.0880.0790.08-0.981-0.132-0.02-1.206-1.136-1.972-1.235-0.0682.666.7697.942-2.55-3.625-3.2210000
139埃及000000000000000000000000000000000000
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146捷克共和国000000000000000000000000000000000000
147圣文森特和格林纳丁斯000000000000000000000000000000000000
148芬兰1.653-0.649-1.39-0.833-0.825-0.483-0.1611.7534.6316.9754.758-1.94-5.437-6.804-4.623-3.408-2.6980.5191.6510.9522.2111.005-0.043-0.371.4121.4213.0945.8314.406-4.418-2.647-1.9090000
149巴布亚新几内亚000000000000000000000000000000000000
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160希腊00-1.216-2.9-1.5770.177-0.123-3.306-0.2852.2341.4732.3920.929-2.831-3.151-3.556-3.931-3.332-3.191-3.161-2.247-1.618-1.6430.8712.4191.9634.1696.8047.3524.024-1.092-4.6440000
161保加利亚000000000000000000000000000000000000
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163刚果民主共和国000000000000000000000000000000000000
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166萨尔瓦多000000000000000000000000000000000000
167印度尼西亚000000000000000000000000000000000000
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173苏丹000000000000000000000000000000000000
174丹麦8.5785.5087.2157.7569.86511.8863.3481.339-0.735-1.59-1.863-2.734-2.892-4.943-1.566-0.3620.1060.720.2950.5871.8441.0410.115-0.6750.3861.6583.8992.4461.044-3.486-2.706-2.3350000
175不丹000000000000000000000000000000000000
176巴拉圭000000000000000000000000000000000000
177中非共和国000000000000000000000000000000000000
178塞尔维亚000000000000000000000000000000000000
179马来西亚000000000000000000000000000000000000
180法国-0.4310.5330.401-0.35-0.945-1.108-0.99-0.7811.2793.0112.6031.8270.862-1.833-1.388-1.004-2.126-1.43600.8862.4181.9720.6980.1350.3580.3380.8251.089-0.373-3.944-3.464-2.929-2.321-1.614-0.842-0.164
181日本-6.371-5.177-4.619-4.313-2.948-0.391-1.443-1.4221.2062.083.4993.2241.324-0.564-1.06-0.5161.1051.2-1.652-2.332-0.456-1.305-2.254-2.157-1.058-0.777-0.3370.388-1.617-7.112-4.95-4.104-2.836-1.724-0.811-0.167
182英国-0.882-3.325-2.744-1.415-2.338-1.959-1.11-0.2232.0481.4490.622-2.176-3.1-2.381-0.476-0.292-0.267-0.233-0.005-0.2820.7090.368-0.376-0.3550.066-0.301-0.0410.6740.425-3.983-2.744-2.347-2.03-1.64-1.175-0.638
183美国-2.982-3.059-7.474-6.043-2.337-1.45-1.161-1.0580.0550.424-0.569-2.907-2.106-1.626-0.328-0.905-0.320.6511.2372.0792.083-0.423-1.502-1.543-0.5040.0090.2650.035-1.821-5.987-4.944-4.297-3.135-2.286-1.675-1.264
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
Output gaps for advanced economies are calculated as actual GDP less potential GDP as a percent of potential GDP. Estimates of output gaps are subject to a significant margin of uncertainty. For a discussion of approaches to calculating potential output, Percent of potential GDP.

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