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
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
41中国00-1.334-1.61-1.443-0.455-1.82-2.082-2.22-2.201-1.966-2.204-2.273-1.837-2.618-2.012-1.482-1.741-2.816-3.7-3.268-2.802-2.953-2.448-1.489-1.39-0.6760.901-0.388-2.981-2.891-1.929-1.278-0.84-0.3810.075
42秘鲁00000000000000000000-2.741-2.593-2.151-1.655-1.143-0.5031.9223.1942.196-2.132-0.845-0.116-0.2790.1420.0530.064
43巴拉圭0000000002.0174.0710.241-1.1860.7612.7290.761-0.05-0.672-0.101-3.046-4.555-0.62-2.9490.4771.8310.8630.9691.5482.960.5340.522-0.087-0.206-0.211-0.0480.063
44卡塔尔000000000013.604-3.287-0.956-9.036-9.897-3.214-6.045-8.148-4.799-3.2748.2983.5179.7316.56417.25910.779.64211.3311.47813.67311.336.8894.2313.2311.6290.008
45不丹000000000000000000000000000000000000
46新西兰00000-5.062-3.732-2.235-0.972-1.184-1.634-4.358-3.959-0.0421.9533.213.4592.4290.3680.7692.1212.6173.1924.5685.434.6553.412.8980.741-2.771-4.143-3.3650000
47吉布提00000000000-2.952-11.441-12.995-11.111-8.507-3.9-4.3330.449-2.412-1.759-1.404-3.652-2.264-1.8950.241-2.472-2.5771.254-4.862-0.4750.0360.0230.0060.016-0.024
48瑞士000-0.742-0.352-0.0671.1521.1570.9520.789-0.208-2.205-3.456-3.839-2.995-2.127-2.246-2.68-0.737-0.5462.421-0.429-1.102-0.846-0.81-0.2881.4422.0930.7471.381-1.039-0.8730.1360.3360.293-0.036
49中非共和国00000000-6.673-4.059-4.725-7.178-5.8031.35-9.991-2.691-7.233-0.551-2.93-2.201-1.9-0.909-1.252-3.285-2.231-4.5448.9741.163-1.0051.083-0.725-1.707-0.249-0.42-0.143-0.055
50喀麦隆000000000000000000000.691-0.1340.7431.176-0.6653.15933.0874.5312.334-0.059-2.148-1.774-0.7990.1070.607-0.102
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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