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
31赖索托00-14.848-9.023-5.02-11.357-12.65-20.25-16.863-9.7-2.461-0.6042.5515.5965.8135.3985.0242.691-1.987-15.214-5.9080.017-3.456-0.4826.0695.04213.12410.0223.102-1.656-14.853-17.765-9.128-3.315-1.150.81
32澳大利亚000000000.9921.4280.284-2.225-4.168-4.146-3.225-2.033-0.8870.0630.3411.2741.6980.790.9291.5982.0732.4361.9561.543-0.513-4.109-4.572-2.48-0.60.0770.3660.699
33南非 00000000000000000000-1.53-1.128-1.083-1.816-1.190.0010.7721.149-0.461-5.166-5.792-4.497-3.086-1.549-0.4390.692
34香港000000000003.5692.9972.2551.102-0.3052.2386.742-1.6720.767-0.598-4.725-4.708-3.091-0.3181.054.2658.1020.0861.551.5621.7622.6673.3334.6250.656
35拉脫維亞000000000000000000-0.682-3.559-2.542-1.996-2.57-1.675-1.249-1.265-0.4940.641-7.495-7.841-11.947-7.597-1.792-0.2090.6910.648
36哈萨克斯坦00000000000000000000001.4242.8812.4565.7597.2114.7471.063-1.486-2.848-2.025-1.255-0.3460.1770.596
37塞舌尔000-9.79-9.804-14.566-17.771-1.8323.135-1.4864.1420.6992.048-6.165-2.254-4.039-6.492-8.443-10.061-7.208-11.546-8.488-14.722-0.837-0.8561.689-6.188-8.7342.2895.039-0.331.8770.7171.1720.7580.531
38安提瓜 和 巴布达00000000000000000-1.957-2.062-5.861-5.244-11.875-11.417-8.886-5.107-6.181-9.066-6.409-6.104-19.589-1.035-0.6190.1150.7481.1290.425
39巴拿马0000000000-1.4960.214-1.041-5.77211.1076.7712.156-0.799-2.131-1.209-0.607-2.327-3.291-4.705-4.895-2.6190.5113.4430.419-1.011-0.738-1.021-0.662-0.2260.1240.314
40瓦努阿图00000000000-5.531-2.323-3.669-1.493-2.586-1.777-0.507-6.432-0.534-6.08-3.213-3.513-1.3050.7761.8050.4730.2612.1010.053-0.0390.1540.2040.2040.2050.205
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.

参考资料

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