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
141埃及0000000000000000000000-34.933-37.676-40.055-45.269-56.637-56.213-69.705-72.401-97.93-105.717-107.786-92.553-90.047-83.52
142阿尔巴尼亚00000000000000000-42.169-42.654-44.588-43.323-46.6-41.954-32.051-37.821-28.178-28.945-34.389-55.222-85.368-49.698-64.583-71.38-76.238-81.958-86.537
143亚美尼亚0000000000000000000000000-46.014-54.04-73.512-62.677-241.482-167.878-147.828-117.953-105.168-105.792-102.461
144卢旺达000000000000-27.648-26.95-19.097-7.973-24.44-14.217-18.559-26.1645.61-9.278-13.794-38.71710.90812.4193.136-35.7924.464-69.23652.895-27.76-20.397-56.679-87.678-128.49
145马里00000000000000000000-37.08-46.12-66.756-6.697-21.452-31.671034.51-79.191-18.78324.33547.432-141.757-104.665-98.872-121.28-146.963
146肯尼亚00-3.822-2.964-3.985-5.469-6.266-5.154-4.898-6.995-11.371-27-39.466-51.15-27.5460.27-2.354-6.4795.36113.446-3.14-24.521-26.995-26.549-0.16-24.294-40.008-52.015-80.269-120.66-166.323-140.223-103.08-111.893-129.145-155.61
147叙利亚0000000000-10.565-20.481-26.974-20.535-30.361-21.743-19.522-10.276-22.224-12.07-12.88623.281-22.615-29.045-52.981-66.409-19.572-80.264-70.121-132.57-119.765-94.737-101.12-118.288-138.836-157.159
148泰国000000000000000124.784123.995-78.998-293.639-415.45-86.907-90.197-359.373122.0374.736103.746168.2319.45712-281.09-268.997-243.159-176.988-174.485-171.039-166.726
149布基纳法索000001.494-15.013-10.303-12.13651.30223.8321.5236.321-38.826-22.333-35.341-24.793-42.464-48.345-68.571-63.832-83.124-111.386-49.208-120.574-158.456490.699-183.041-152.904-184.915-193.732-166.323-166.915-169.502-174.249-193.617
150菲律宾000000000-19.727-37.647-24.742-25.192-20.68-24.764-21.988-7.664-17.501-72.162-127.322-150.029-162.512-209.178-207.566-196.726-161.123-82.116-101.232-94.655-302.63-333.739-330.004-284.587-218.132-228.307-244.638
151捷克共和国000000000000000-197.041-55.834-68.839-100.061-77.289-81.471-131.838-166.774-170.016-82.749-106.579-84.458-23.175-98.569-213.744-204.247-221.556-218.199-232.446-244.836-257.758
152柬埔寨0000000000000000-113.728-37.215-285.759-166.814-294.353-408.31-619.298-731.156-402.331.26128.91-15.392463.866-1500.82-912.008-1124.52-826.958-638.855-464.422-293.789
153台湾000000000-328.015-173.635-379.094-289.161-367.256-378.403-458.376-535.268-511.77-515.685-694.9-616.098-859.101-557.233-377.185-436.154-211.187-197.704-181.648-307.033-724.389-512.736-356.071-341.546-303.925-321.582-340.745
154塞内加尔0000000000000000000029.19-84.5-27.431-70.247-99.4-127.968-264.79-207.901-281.2-315.812-285.508-323.881-318.786-306.962-327.062-354.399
155孟加拉国-22.8-22.85-27.95-32.225-31.005-32.575-40.095-43.8-45.3-52.518-58.04-59.846-53.5-55.59-61.4-79.8-71.261-71.539-70.982-83.276-120.582-125.847-125.086-101.715-102.62-124.044-134.462-150.639-277.53-228.85-186.315-252.616-291.953-329.811-373.486-388.911
156科特迪瓦00000000000000000-149.83-173.411-223.86-96.669.7-88.662-164.203-136.065-148.007-162.281-73.76-60.97-171.093-27.798-318.028-403.34-368.421-395.209-419.316
157也门000000000000000-29.744-6.808-13.281-66.7610.71694.86346.323-10.432-90.761-55.178-58.45144.601-309.495-243.616-520.514-374.536-389.454-423.604-345.032-362.392-422.416
158巴基斯坦 0000000000000-114.934-100.844-129.047-155.096-157.296-196.784-138.881-155.607-124.027-170.6675.26-130.657-275.652-367.229-472.78-750.97-624.854-910.476-608.366-480.45-521.527-429.637-430.056
159智利00000000000000000000000003127.646110.917168.643876.41-3938.53-1694.72-652.772-556.773-506.763-157.719-449.376
160刚果民主共和国0000000000000000-0.074-0.315-0.429-1.751-12.1817.9161.771-134.257-131.262-351.125-50.341-130.926-195.349-379.714-420.818-1384.42-1187.84-922.721-825.454-483.995
161墨西哥0000000000-24.404-8.8051.5412.342-10.94-89.714-155.703-210.827-258.243-304.358-194.285-210.163-241.555-170.136-114.843-127.84-107.828-146.627-168.85-577.235-466.753-418.148-398.899-430.374-463.462-497.295
162斯里兰卡0000000000-25.152-36.32-25.764-35.295-52.469-58.198-64.64-62.732-85.947-76.491-119.396-146.722-133.987-132.951-156.753-172.731-205.746-246.02-315.381-476.797-438.131-431.114-377.135-401.084-446.625-512.078
163赤道几内亚-1.082-1.446-2.002-0.7380.659-0.898-2.3290.21-12.278-5.898-1.896-2.159-3.63-3.533-3.95-2.482-3.18910.086-5.9-0.868-21.948182.781252.785202.361340.154894.85311801165.471268.3-459.435251.64-310.185-546.266-538.419-500.325-525.483
164几内亚0000000000-102.71-115.726-134.328-153.877-164.894-160.844-156.788-150.13-54.158-147.406-173.2-245.621-280.437-442.628-436.777-176.4-473.6653.967-275.697-1577.76-1345.1-498.55915661.93-389.593-434.547-614.835
165塞拉利昂00000000000000000000-104.556-164.039-157.049-151.406-93.802-66.638-93.1541281.16-273.195-202.424-362.349-427.164-371.55-476.096-555.124-657.188
166尼日利亚00000000000000000000280.387-262.081152.133-291.989950.6541365.41301.96-277.2864.737-2590.7-2457.41-1542.53-1297.43-861.706-770.72-757.078
167哥斯大黎加00000000000000000000-117.763-126.973-217.497-186.36-166.011-115.05455.171260.147116.68-535.347-865.441-885.05-883.527-817.202-871.475-908.365
168美国000000000000000000000-27.714-413.4-544.5-520.4-402.9-272.8-375.3-958.425-1819.09-1621.02-1464.99-1053.61-948.834-1023.17-1171.83
169乌干达00000000000000000-158.25-124.983-250.245-453.403-292.491-539.987-521.868-187.79-94.077-165.938-278.648-746.321-623.058-848.098-1173.69-1348.76-1532.96-1594.63-1540.43
170缅甸00000000000-10.471-7.527-7.957-15.857-24.853-22.637-9.813-6.864-27.667-86.142-106.074-71.214-266.902-246.517-181.389-384.478-459.954-440.073-609.311-921.478-1027.17-1079.94-1272.36-1422.22-1589.52
171匈牙利000000000000000-289.341-138.828-316.368-378.023-306.865-575.034-599.056-1517.1-1358.33-1338.35-1739.42-2231.11-1280.28-992.461-1071.39-1134.02-1278.27-1548.27-1654.29-1755.85-1831.79
172马达加斯加-25.275-26.712-24.33-25.482-28.781-13.296-14.527-16.119-7.284-37.342-9.086-55.915-73.94-104.138-163.788-176.392-170.914-99.674-271.061-147.359-167.07-281.719-392.972-352.741-506.957-480.2444445.52-368.315-313.1-515.553-158.606-1020.27-1421.28-1577.52-1743.05-2113.55
173老挝00000000000000000000-677.196-900.283-888.43-1214.22-793.414-1008.89-1073.27-1029.39-1749.24-3208.71-2084.24-803.399-873.332-1436.37-1806.92-2231.09
174坦桑尼亚0000000000011.466-82.66-39.356-102.96-73.04786.02510.24624.741-87.744-56.902-34.622-149.719-372.21-453.675-836.963-783.285-1.22-1274.73-2106.92-2027.75-2202.5-2264.83-1914.08-2068.09-2257.64
175赞比亚00000000000000000000130-871.146-829.915-1233.02-745.757-882.1547773.82-583.363-808.497-2083.34-2041.31-2762.28-3989.39-3645.72-2797.57-2278.32
176俄罗斯000000000000000000-209.165-185.349243.205286.63778.051191.071834.6161762.512241.822451774.23-2426.6-2153.44-1825.79-1641.97-1593.58-2109.74-2609
177白俄罗斯000000000000000000-0.4288.94-14.83-116.879345.766-23.232278.802126.7351337.632196.54354.35-597.3-6309.76-8787.3-5179.08-4847.78-4742.67-5010.79
178黎巴嫩000000000000000-2426.42-5175.29-5871.41-4466.65-4329-6143.07-5502.56-4596.95-4102.85-3136.31-2778.19-3509.94-4090.16-4326.54-4228.32-5109.4-6134.62-5548.96-5688.5-6333.22-6949.39
179印度00000000-267.894-427.753-522.427-525.877-540.385-655.239-735.409-778.553-921.218-1064.78-1420.84-1816.23-2037.47-2245.34-2365.07-2479.85-2340.31-2383.32-2254.52-1990.85-4149.29-5998.84-6798.38-7247.89-7893.64-8388.65-8850.35-9267.64
180哥伦比亚00-149.7-161.4-207.7-171.8-183.4-73.74-146.653-305.7-114.3127-31.2-146.537-111.331-1007.47-2823.09-4803.33-5648.16-8984.8-6090.78-6936.33-8202.03-5745.71-3117.8-529.416-3229.75-4453.59342.25-12865.7-18297.63-21800.41-18171.45-16952.7-16154.86-16102.83
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 Billions National currency.

参考资料

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