World Economic Outlook according to the IMF until 2015 => Data 2010

Created 2011-02-03 10:38:48
Updated 2011-10-13 20:06:10

Inflation, end of period consumer prices 2015

#Country/Territoty198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015
1Venezuela000009.12212.71140.27535.5181.00636.47831.01831.85745.94170.83656.615103.24337.60929.90620.02813.43112.28231.21527.08419.18514.35816.96622.45730.925.05733.33128.726.424.121.8
2Eritrea000000000000010.6197.28912.3023.5097.7369.0210.62526.8357.74923.81820.84817.38318.4999.03812.59330.22630.16916.76514.514.5141414
3Argentina87.635131.275209.729433.693687.981385.41881.909174.79387.744923.551343.9383.98717.54612.5673.8541.6080.0540.3280.664-1.81-0.734-1.54440.9533.6566.10112.3279.8418.4687.2387.695111111111111
4Iran000000000014.66222.48521.94526.43434.20236.51817.38619.319.03917.93511.32311.70917.4713.92516.69310.16915.31322.517.810.481010101010
5Uzbekistan0000000000000884.7821281.43116.91764.37450.22726.0725.9728.18226.48321.5577.7879.0912.33511.42911.91714.44910.60412.9471010101010
6Myanmar000000000000000026.645.133.7254.9043.82553.81554.0197.9567.67512.61638.71528.8289.2336.899.259.259.259.259.25
7Nigeria017.31212.533.33325013.33311.76539.47443.3962.63223.07748.95861.53876.62351.44214.31410.21311.9130.22414.52716.49512.16923.81110.00811.5658.5496.57715.05411.94211.28.58.58.58.58.5
8Congo, Democratic052.17440.714-11.094159.08339.2238.26106.47120.5956.12264.974227.982729.794583.089796.9370.2721705.1120133.333485.714509.756135.0915.7514.4439.21721.27218.1969.96427.57252.31512998.58
9Kyrgyzstan0000000000000929.86762.12432.09934.83313.02116.81139.8649.5693.6922.3025.5632.7644.925.09720.05220.06-0.0255.9968.0027.9958.0027.9977.998
10Nicaragua00000000000000011.12212.0977.25418.4634.8396.4544.8383.8736.489.2569.5839.44716.87713.7740.9376.77.0187.1846.9386.938
11Equatorial Guinea016.738.25660.05859.51861.34-13.5143.125-0.337-8.1966.985-0.0692.82-2.74243.74611.698-0.0033.7276.5871.1246.61412.2516.1625.8635.073.1883.8073.7376.1688.0857.6996.8887.3036.8836.5216.411
12Yemen00000000000000057.227.2267.0511.9110.1848.45822.354.3313.5919.98112.4787.86111.16810.7958.83310.7667.08213.3638.1987.9296.159
13Sri Lanka24.67218.275.38821.4359.4821.4829.07410.16715.0315.10319.6229.01513.81510.324.2111.51216.80110.7413.7243.98410.83710.81711.2897.27812.9487.4813.46418.73314.3744.8116.4578.5837.5766
14Angola01.8331.8331.8331.8331.8331.8331.8331.8331.8331.833175.72495.7931837.87971.9543783.921650.83149.621134.809329.001268.35116.068105.5976.71131.01318.5312.20711.77613.1713.98711.1621210766
15Pakistan15.12510.4323.7938.8273.4094.9764.7034.68110.7885.48513.8112.65914.3839.62611.76312.09210.29712.4536.4793.6815.12.5253.3881.9268.4558.7367.6456.99921.53113.13912.6912.58.5766
16Ethiopia05.435.23-0.189.0520.47-11.82-4.666.8711.055.00544.9962.0534.7146.29314.835-8.9992.62.312.2590.271-11.431-1.01623.5111.74612.9911.56915.11655.272.6997.3019.7526666
17Georgia00000000000000057.37313.6897.20510.66910.8654.6393.4035.4236.9537.5036.1798.77810.9835.5482.9838.82866666
18Egypt20.39.615.616.73519.5811.40427.95325.119.99116.65321.3820.7099.74414.9536.3939.7258.1564.7614.5312.8772.5422.2312.7494.01311.7094.687.2428.55420.1789.95910.704108776
19Tonga0003.9475.31612.527.352.51713.5844.0356.92513.8318.418-2.6987.58-0.0323.1221.9793.2294.4366.38.711.511.19.37.5696.42.84.24.15.1666
20Kazakhstan00000000000002165854.58560.38828.63811.3211.8818.0959.8036.4456.6867.0017.0117.8688.318.8379.4796.2697.9736.8036.2736.1685.9575.957
Source: International Monetary Fund 2010 (IMF).

Table | Charts | Flash Charts
| 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 | Employment | Population | Unemployment rate | 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 | Growth Rate | Chinese
Data for inflation are end of the period, not annual average data. Percent change.

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