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

General government net lending/borrowing 2015

#国家/地区198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015
1东帝汶000000000000000000002.451-0.3140.2552.0846.153102.031173.56315.987430.772238.215212.482202.027190.835129.455155.06126.333
2刚果共和国0000000000-4.388-12.462-14.005-12.47-13.3-8.23110.1713.584-6.86-5.5491.1296.357-0.4870.3243.64414.63716.4249.44723.5194.89824.74728.49629.3628.39127.44825.352
3科威特0000000000-31.983-151.309-49.578-15.747-9.138-1.85711.60717.1666.87915.15432.35629.47419.33517.30822.21243.30335.48339.79719.94419.60917.12417.88117.90120.01822.37124.984
4阿塞拜疆共和国000000000000000000000.3880.006-0.369-1.7680.9622.4310.6322.29419.9886.76813.89314.37916.89618.22222.6323.231
5伊拉克00000000000000000000000006.49115.47912.431-3.337-21.931-14.181-8.2053.3139.93418.01221.331
6文莱达鲁萨兰国000000000000000-29.355-12.046-16.481-30.561-21.2027.6582.8347.6588.5799.05617.36121.91614.65231.7763.63212.61714.916.90617.75218.48719.775
7利比亚00000000001.2738.419-0.118-5.965-2.7563.92311.694-2.174-2.4415.88113.518-0.71210.019.48513.90629.40233.09333.27130.2589.40113.30514.2314.66316.17617.63818.718
8阿拉伯联合酋长国0000000000000000000-8.5693.378-4.869-6.906-2.853.25113.85718.03216.83718.21-6.3311.5847.9410.17811.24711.40111.808
9挪威5.3474.7663.915.9556.99.7335.7784.4852.6121.7852.1950.108-1.852-1.4310.2673.226.2917.6333.3215.99215.37413.3179.2117.29311.13915.08718.48317.72319.2589.85911.1411.2911.74612.08811.92511.756
10乍得000000000000000-3.244-2.892-2.476-1.433-4.567-5.341-4.008-3.75-4.835-1.5970.9837.4169.54912.2075.823.5829.1529.0839.2568.0148.2
11加蓬0000000000000000000011.8544.3314.018.3197.5568.7079.2248.6811.7267.4686.317.3517.5027.2388.1757.997
12圣多美和普林西比0000000000000000000051.489-12.943-9.942-10.477-16.67537.058-13.776121.56514.9-19.1-14.6433.83-9.123-8.398-8.1817.156
13沙特阿拉伯0000000000000000000-2.4866.1683.227-3.3115.50212.44421.8724.62215.70435.413-2.3691.8666.1936.5045.4945.8056.576
14波扎那0.47-1.611-2.3525.2219.70615.7518.70414.6613.1369.3119.9958.8629.3488.313.082.1836.2794.934-3.4532.9117.621-0.121-3.413-2.657-0.0785.9499.7035.6-3.119-11.516-7.901-4.995-0.8841.5912.8754.209
15安哥拉00000000000000000000-6.145-2.844-6.175-6.395-0.387.34314.82711.3268.923-8.6082.6833.2983.4625.0454.7873.266
16巴贝多00000000000000000001.9-3.815-3.722-8.347-6.06-0.194-4.814-4.914-6.232-6.892-7.205-6.837-3.64-0.7691.3782.3723.021
17乌兹别克斯坦0000000000001.757-14.983-5.607-3.843-7.866-2.171-3.789-3.024-2.494-1.283-1.8870.0730.6011.255.2165.25910.6813.2022.2312.3892.0832.3882.8282.828
18冰岛1.3491.31.705-2.0492.235-1.64-4.039-0.849-2.014-4.402-3.259-0.728-1.944-4.452-4.687-2.951-1.585-0.021-0.4041.1461.693-0.686-2.55-2.8240.034.8916.3195.402-0.54-12.644-9.246-5.647-1.0841.2681.7892.757
19蒙古0-4.983-4.664-5.101-5.456-5.964-15.37-16.298-16.973-14.305-11.77-8.427-9.501-11.679-7.797-5.116-6.834-7.888-12.413-10.609-6.076-4.694-5.197-3.726-1.8292.6368.2232.843-4.924-5.426-2.224-4.762-2.424-0.3883.8212.749
20韩国0000000000000002.4342.6482.3230.870.4933.4431.7262.2462.2072.2522.1412.3544.1981.6910.041.4031.9882.3352.6582.6552.614
21新加坡000000000011.55610.41711.8517.14118.29316.37214.44418.1869.38910.6239.9614.0183.3881.9522.9445.7035.31710.0385.224-0.8242.4131.4511.7921.892.072.203
22牙买加000000000002.5812.6942.3742.3171.682-3.675-6.17-5.944-4.008-1.407-3.884-6.158-5.628-4.766-3.543-4.376-3.918-6.395-9.892-7.123-3.226-1.314-0.0851.0442.156
23巴布亚新几内亚0000000000-4.811-2.579-8.054-8.949-2.9160.311.708-0.542-1.732-4.437-1.076-3.554-4.006-1.1091.5652.7046.5358.9552.509-7.656-1.1730.592-0.009-0.6891.42.15
24瑞典-5.71-4.691-6.586-5.131-3.034-3.665-0.3453.2943.3073.2383.363-0.076-8.886-11.173-9.066-7.317-3.314-1.6241.2161.1963.7261.663-1.404-1.1430.5612.0022.3823.7222.419-0.79-2.157-1.4390.1622.071.5591.701
25所罗门群岛0000000000-8.432-11.698-6.315-7.471-5.053-4.478-3.681-3.8370.553-2.648-6.233-8.918-7.016-2.4446.614-0.945-1.3571.267-0.2892.192.4252.2051.951.7511.5511.451
26格林纳达0000000000-9.784-5.398-1.801-0.195-3.518-0.569-3.702-6.034-2.906-3.341-3.034-7.897-17.878-4.439-2.580.45-6.107-7.889-5.072-6.561-2.936-1.214-0.2890.6060.8951.402
27伊朗0000000000-2.314-3.292-2.867-6.749-4.386-3.416-1.549-2.334-6.673-0.5526.0930.9160.5321.3441.6741.6680.0252.668-0.011-1.6970.3822.3532.0831.8112.0341.337
28多明尼加0000000000-5.661-3.642-2.72-1.736-4.177-3.597-1.983-2.806-4.562-11.401-10.859-8.458-5.32-1.256-0.8431.1593.612.2420.9130.841-1.182-0.648-0.0581.0491.121.164
29阿尔及利亚00000000003.1763.8830.751-5.916-1.8650.5873.9122.93-3.576-1.8959.763.741.1644.885.27113.66213.9146.1649.09-5.343-9.892-8.439-3.47-1.874-0.4511.011
30阿曼 00000000006.1050.661-5.416-7.59-8.148-4.4342.6625.617-4.840.46214.0528.7256.276.8736.33113.03714.47612.1717.1681.9926.7036.225.1223.9712.4590.846
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
Net lending (+)/ borrowing (?) is calculated as revenue minus total expenditure. This is a core GFS balance that measures the extent to which general government is either putting financial resources at the disposal of other sectors in the economy and nonr Percent of GDP.

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