sipri milex data 1988-2014

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SIPRI Military Expenditure Database© SIPRI 2015

The SIPRI Military Expenditure Database includes data for 171 countries for the period 1988-2014.*

For information on the sources and methods for SIPRI data, including methods for calculating calendar year data from financial year data, for calculating constant price US$ figures, and for estimating missing data for countries as part of the world and regional totals, see http://www.sipri.org/research/armaments/milex/resultoutput/sources_methods.

This workbook includes the following worksheets:

1) Estimates of world, regional and subregional totals in constant (2011) US$ (billions), and in current (2014) US$b. for 2014.2) Data for military expenditure by country in current price local currency, presented according to each country's financial year.3) Data for military expenditure by country in current price local currency, presented according to calendar year.4) Data for military expenditure by country in constant price US$ (millions), presented according to calendar year, and in current (2014) US$m. for 2014.5) Data for military expenditure by country in current US$ (millions), presented according to calendar year.6) Data for military expenditure by country as a share of GDP, presented according to calendar year.7) Data for military expenditure per capita, in current US$, presented according to calender year.8) Data for military expenditure as a percentage of general government expenditure, presented according to financial year.9) List of footnotes by country.

*In addition, the former People's Democratic Republic of Yemen is listed, although no data is currently available for this country.

World and regional totals

Local currency, financial years

Local currency, calendar years

Constant (2011) US$

Share of GDP

Footnotes

The information in this document is the intellectual property of SIPRI. Under SIPRI's "fair use" policy, the data may be freely used for non-commercial purposes , including research, news reporting, comment, the production of educational materials that are not sold commercially, etc., provided that a) SIPRI is cited as the source of the data, with the citation: "SIPRI Military Expenditure Database 2015, http://milexdata.sipri.org" and b) no more than 10% of the entire dataset is reproduced.

Any commercial use of the data (whether more or less than 10% of the dataset), or any reproduction of more than 10% of the entire dataset, requires specific permission from SIPRI, for which a fee will normally be charged based on the cost of generating the data. Contact [email protected] for further information.

For the purpose of the above, 10% of the SIPRI Military Expenditure Database is defined to consist of 1,000 individual units of data, where a unit of data consists of a figure for military expenditure for one country in one year either in local currency at current prices (financial or calendar year), constant (2011) US$, current US$, or as a share of GDP, in each case together with relevant information contained in the bracketing, special note indicators and footnotes for that country and year; or an estimate of a world or regional total in constant (2011) US$ or current US$, together with the information contained in any bracketing for that figure.

Current US$ Per capitaShare of

governmentspending

Military expenditure by country as percentage of gross domestic product, 1988-2014Countries are grouped by region and subregion

". ." = data unavailable. "xxx" = country did not exist or was not independent during all or part of the year in question.

Country Notes 1988 1989 1990 1991 1992 1993 1994AfricaNorth AfricaAlgeria 1 1.7% 1.5% 1.5% 1.2% 2.1% 2.5% 3.1%Libya . . . . . . . . . . . . . .Morocco 3 4.1% 4.4% 4.1% 4.1% 4.3% 4.7% 4.5%

Tunisia 2.3% 2.3% 2.0% 2.0% 1.9% 1.9% 1.9%Sub-SaharanAngola . . . . . . . . 5.7% 17.4% 5.7%

Benin 2.3% 1.9% 1.7% . . . . . . . .Botswana 4.9% 3.6% 4.4% 4.6% 4.5% 4.9% 4.0%

Burkina Faso 2.3% 2.7% 2.7% 2.2% 2.0% 1.9% 1.4%Burundi 3.1% 3.3% 3.4% 3.8% 3.6% 3.7% 3.9%Cameroon § 1.3% 1.3% 1.5% 1.5% 1.5% 1.3% 1.3%Cape Verde 1.9% . . . . . . 1.0% 0.8% 0.8%Central African Rep. . . . . . . 1.6% 1.6% 1.5% 1.3%

Chad 5.5% 4.2% 2.1% . . 2.1% 2.7% 1.9%Congo § . . . . . . . . 4.3% 4.1% . .Congo, Dem. Rep. 8 . . . . . . . . . . . . . .

Côte d’Ivoire 9 1.2% 1.3% 1.3% 1.4% 1.4% 1.4% 1.1%

Djibouti . . . . . . 6.7% 6.8% 6.2% 5.8%Equatorial Guinea . . . . . . . . . . . . 1.9%Eritrea xxx xxx xxx xxx xxx 21.3% 12.7%Ethiopia 11 8.3% 9.9% 9.0% 5.5% 3.0% 3.0% 2.6%

Gabon 12 . . . . . . . . . . . . . .Gambia 1.1% 1.3% 1.4% 1.6% 1.3% 0.9% 0.8%Ghana 0.4% 0.4% 0.4% 0.6% 0.6% 0.7% 0.7%Guinea 15 . . . . . . 2.4% 1.7% 1.3% 1.4%Guinea-Bissau . . 0.2% . . . . . . . . 0.3%Kenya 2.9% 2.7% 2.9% 2.4% 1.9% 1.8% 1.6%Lesotho 3.8% 4.9% 4.5% 3.8% 2.9% 2.7% 3.1%Liberia 17 . . . . . . . . . . . . . .Madagascar 1.3% 1.2% 1.2% 1.3% 0.8% 1.1% 0.9%

Malawi 1.5% 1.5% 1.3% 1.1% 1.4% 1.3% 1.4%Mali ¶ 2.2% 2.1% 2.0% . . . . 1.6% 1.4%Mauritania 4.5% 4.0% 3.8% 3.6% 2.7% 2.4% 2.2%Mauritius 0.2% 0.3% 0.3% 0.4% 0.4% 0.3% 0.3%Mozambique 5.3% 5.9% 5.9% 2.6% 3.0% 2.9% 3.3%Namibia 21 xxx xxx 8.1% 5.6% 4.3% 2.5% 1.8%Niger . . . . . . . . . . . . 1.2%Nigeria 22 0.9% 0.6% 0.8% 0.8% 0.6% 0.9% 0.8%Rwanda 23 1.6% 1.8% 3.7% 5.5% 4.3% 4.5% 3.4%Senegal 2.0% 1.9% 2.0% 1.9% 1.8% 2.1% 1.7%Seychelles 4.3% 4.3% 4.0% 4.4% 4.7% 2.8% 2.4%

Sierra Leone 25 0.7% 1.0% 1.4% 2.1% 3.0% 3.0% 2.9%Somalia 26 . . . . . . . . . . . . . .

Figures in blue are SIPRI estimates. Figures in red indicate highly uncertain data.

‡ ¶ 2

‖ 4

† 5‡ 6

‡ 7

‖ 10

‡ 13‖ 14

‖ 16

‖ 18

‡ 19

‖ 20

§ ¶ 24

South Africa 4.6% 4.4% 3.9% 3.2% 2.8% 2.5% 2.6%South Sudan 27 xxx xxx xxx xxx xxx xxx xxxSudan 3.6% . . 3.5% 3.6% 3.2% 3.6% 2.8%

Swaziland 1.3% 1.4% 1.3% 1.4% 1.6% 1.7% 1.8%Tanzania 1.4% 2.4% 2.0% 2.2% 2.1% 1.4% 1.3%Togo 3.1% 3.1% 3.1% 2.9% 2.9% 4.0% 2.6%

Uganda 2.5% 2.7% 3.0% 2.5% 1.7% 1.9% 2.0%

Zambia 2.4% 4.2% 3.7% 2.6% 3.0% 1.6% 1.9%

Zimbabwe . . . . . . . . . . . . . .

AmericasCentral America and the Caribbean

Belize . . 1.2% 1.2% 1.1% 1.0% 1.1% 1.4%Costa Rica 31 . . . . . . . . . . . . . .

Cuba 32 . . . . . . . . . . . . . .

Dominican Rep. 0.9% 0.8% 0.7% 0.3% 0.6% 0.8% 0.7%

El Salvador 33 7.7% 7.6% 4.2% 3.5% 3.0% 2.4% 2.0%

Guatemala 1.6% 1.5% 1.5% 1.1% 1.3% 1.1% 1.1%Haiti 34 0.1% 0.1% 0.1% 0.1% 0.1% 0.1% 0.1%

Honduras 35 . . . . . . . . . . . . . .

Jamaica . . 0.5% 0.6% 0.5% 0.8% 0.6% 0.4%

Mexico 0.5% 0.5% 0.5% 0.5% 0.6% 0.6% 0.7%

Nicaragua 36 . . . . . . 4.0% 2.6% 2.1% 1.2%Panama 37 2.1% 2.1% 1.3% 1.2% 1.1% 1.2% 1.2%

Trinidad & Tobago . . . . . . . . 0.1% 0.5% 0.5%North America

Canada 2.0% 1.9% 2.0% 1.9% 1.9% 1.8% 1.7%USA 38 5.7% 5.5% 5.3% 4.6% 4.7% 4.3% 3.9%South America

Argentina 2.0% 1.8% 1.4% 1.4% 1.3% 1.3% 1.5%

Bolivia 39 . . 2.2% 2.8% 2.7% 2.5% 1.9% 2.3%

Brazil 2.1% 2.7% 6.3% 2.0% 1.5% 1.9% 2.0%

Chile 4.3% 3.5% 3.4% 2.8% 2.6% 2.7% 2.6%

Colombia 41 2.0% 2.2% 1.9% 1.9% 2.1% 2.5% 2.5%

Ecuador 42 2.0% 1.9% 1.9% 1.8% 1.7% 1.8% 1.6%

Guyana 2.0% 1.2% 0.9% 0.6% 1.0% 1.0% 1.0%

Paraguay 44 . . 1.9% 1.7% 2.1% 2.0% 1.5% 1.5%

Peru 45 . . 0.2% 0.1% 1.2% 1.8% 1.9% 1.8%

Uruguay 3.2% 3.5% 3.5% 2.4% 2.8% 2.8% 2.6%

Venezuela . . . . . . 1.8% 1.6% 2.1% 1.6%

Asia & OceaniaCentral Asia

Kazakhstan xxx xxx xxx xxx . . 1.1% 0.8%

Kyrgyzstan 47 xxx xxx xxx xxx 1.6% 1.5% 2.6%

Tajikistan xxx xxx xxx xxx 0.0% 0.0% 0.0%

Turkmenistan 48 xxx xxx xxx xxx . . . . 1.8%

Uzbekistan 49 xxx xxx xxx xxx . . . . 1.5%

‡ ‖ 28

‡ 29

‖ 30

§ 40

‡ 43

‖ 46

East Asia

Brunei 50 6.6% 6.2% 6.4% 6.4% 6.2% 5.7% 6.0%

Cambodia 1.3% 2.0% 2.1% 2.3% 3.1% 1.8% 3.8%

China, P. R. 51 . . 2.5% 2.5% 2.4% 2.5% 2.0% 1.7%

Indonesia 52 1.5% 1.4% 1.4% 1.3% 1.4% 1.2% 1.3%

Japan 0.9% 0.8% 0.8% 0.8% 0.9% 0.9% 0.9%

Korea, North 54 . . . . . . . . . . . . . .

Korea, South 55 4.3% 4.3% 4.0% 3.7% 3.7% 3.4% 3.2%

Laos . . . . . . 10.0% 8.7% 8.1% 7.5%

Malaysia 2.4% 2.6% 2.6% 3.2% 3.0% 2.9% 2.8%

Mongolia 6.3% 6.3% 4.3% 3.2% 1.9% 1.7% 1.7%

Myanmar 56 2.1% 3.0% 3.4% 3.2% 3.4% 3.5% 3.5%

Philippines 57 2.5% 2.2% 2.1% 2.0% 2.0% 2.2% 2.2%

Singapore 4.8% 4.7% 4.9% 4.7% 4.7% 4.3% 4.0%

Taiwan 5.3% 5.3% 5.3% 5.0% 4.8% 5.0% 4.7%

Thailand 2.9% 2.7% 2.6% 2.6% 2.7% 2.5% 2.5%

Timor Leste 58 xxx xxx xxx xxx xxx xxx xxx

Viet Nam 59 7.1% 7.3% 7.9% 5.6% 3.4% 2.3% 2.6%South Asia

Afghanistan 60 . . . . . . . . . . . . . .

Bangladesh 1.1% 1.1% 1.1% 1.0% 1.2% 1.2% 1.3%

India 61 3.7% 3.5% 3.2% 3.0% 2.8% 2.9% 2.8%

Nepal ¶ 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 0.9%

Pakistan 6.8% 6.5% 6.5% 6.6% 6.7% 6.4% 5.9%

Sri Lanka 63 2.4% 1.8% 2.3% 3.1% 3.4% 3.4% 3.7%Oceania

Australia 2.2% 2.0% 2.1% 2.2% 2.2% 2.2% 2.1%

Fiji 2.2% 2.5% 2.3% 2.3% 2.0% 2.0% 1.8%

New Zealand 2.4% 2.4% 2.3% 2.3% 2.1% 1.9% 1.8%

Papua New Guinea 1.3% 1.5% 2.1% 1.4% 1.3% 1.4% 1.5%

EuropeAlbania 5.6% 5.2% 5.9% . . 4.9% 3.2% 2.5%

Armenia xxx xxx xxx xxx 2.2% 2.3% . .

Austria 1.3% 1.2% 1.2% 1.2% 1.1% 1.1% 1.1%

Azerbaijan xxx xxx xxx xxx 2.4% 5.0% 1.9%

Belarus xxx xxx xxx xxx 1.6% 2.8% 3.6%

Belgium 2.6% 2.5% 2.4% 2.3% 1.8% 1.7% 1.7%

Bosnia-Herzegovina xxx xxx xxx xxx . . . . . .

Bulgaria . . 4.4% 3.8% 3.0% 3.0% 2.6% 2.5%

Croatia 71 xxx xxx xxx xxx 7.6% 10.7% 11.1%

Cyprus † ‖ 5.7% 5.4% 7.4% 7.3% 9.1% 4.1% 4.0%

Czech Rep. 72 xxx xxx xxx xxx xxx 2.3% 2.3%

Czechoslovakia 73 . . . . . . . . xxx xxx xxx

Denmark 2.1% 2.0% 2.0% 2.0% 1.9% 1.9% 1.8%

† 53

‡ 62

† 64

‡ 65

§ ¶ 66

† 67

‖ 68

† ¶ 69

† 70

Estonia xxx xxx xxx xxx . . 0.8% 1.0%

Finland 1.6% 1.5% 1.6% 1.8% 1.9% 1.9% 1.8%

France 75 3.6% 3.5% 3.4% 3.4% 3.3% 3.3% 3.3%

Georgia xxx xxx xxx xxx . . . . . .

German DR 77 . . . . xxx xxx xxx xxx xxx

Germany 2.8% 2.7% 2.7% 2.2% 2.0% 1.9% 1.7%

Greece 78 4.2% 3.8% 3.8% 3.5% 3.6% 3.6% 3.6%

Hungary 3.8% 3.1% 2.8% 2.4% 2.4% 2.2% 2.1%

Iceland . . . . . . . . . . . . . .

Ireland 1.2% 1.1% 1.3% 1.3% 1.2% 1.2% 1.2%

Italy 80 2.3% 2.3% 2.1% 2.1% 2.0% 2.0% 1.9%

Latvia 81 xxx xxx xxx xxx . . 1.0% 1.2%

Lithuania xxx xxx xxx xxx . . 0.8% 0.5%

Luxembourg 1.1% 0.9% 0.9% 0.9% 0.9% 0.8% 0.8%

Macedonia, FYR 82 xxx xxx xxx xxx . . . . . .

Malta † ‖ 1.3% 1.2% 1.0% 0.9% 1.0% 1.0% 1.1%

Moldova . . . . . . . . . . 0.5% 0.8%

Montenegro 84 xxx xxx xxx xxx xxx xxx xxxNetherlands 2.8% 2.7% 2.5% 2.4% 2.4% 2.2% 2.0%

Norway 2.9% 2.9% 2.9% 2.7% 3.0% 2.7% 2.7%

Poland 85 2.5% 1.8% 2.6% 2.3% 2.2% 2.5% 2.3%

Portugal 2.5% 2.5% 2.4% 2.4% 2.4% 2.4% 2.2%

Romania ‖ 4.3% 4.7% 4.6% 4.8% 4.3% 2.7% 3.1%

Russia/USSR 86 . . . . . . . . 4.9% 4.6% 4.9%

Serbia 87 xxx xxx xxx xxx . . . . . .

Slovak Rep. † ‖ xxx xxx xxx xxx xxx 2.0% 1.9%

Slovenia ‖ xxx xxx xxx xxx 2.2% 1.8% 1.7%

Spain 2.0% 2.0% 1.8% 1.7% 1.5% 1.7% 1.5%

Sweden 88 2.6% 2.5% 2.6% 2.5% 2.4% 2.5% 2.4%

Switzerland 1.7% 1.6% 1.7% 1.6% 1.6% 1.4% 1.4%

UK 90 4.0% 3.9% 3.8% 3.9% 3.7% 3.4% 3.2%

Ukraine xxx xxx xxx xxx . . 0.5% 2.5%

Yugoslavia (former) 92 . . . . . . . . xxx xxx xxx

Middle EastBahrain 93 5.6% 5.6% 5.3% 5.7% 5.9% 5.4% 5.1%

Egypt 6.5% 5.1% 4.7% 4.8% 4.5% 4.3% 4.2%

Iran 94 6.3% 4.6% 3.2% 2.4% 1.9% 1.8% 2.3%

Iraq 95 . . . . . . . . . . . . . .

Israel 96 17.8% 13.3% 14.7% 14.6% 12.3% 13.0% 11.3%

Jordan 9.4% 9.1% 7.8% 10.0% 6.9% 7.0% 6.5%

Kuwait 8.2% 8.5% 48.5% 117.3% 31.8% 12.4% 13.3%

Lebanon . . . . . . . . . . . . . .

Oman 18.3% 16.7% 16.5% 14.8% 16.2% 15.4% 15.7%

Qatar 16.3% 13.1% 10.7% 13.0% . . . . . .

‖ 74

† 76

† 79

† ¶ 83

† ¶ 89

§ 91

‡ 97

Saudi Arabia 15.2% 13.4% 14.0% 12.5% 11.3% 12.5% 10.6%

Syria 99 7.3% 7.4% 6.4% 9.7% 8.4% 6.7% 7.2%

Turkey ‖ 2.9% 3.1% 3.5% 3.8% 3.9% 3.9% 4.1%

UAE 100 . . . . . . . . . . . . . .

Yemen 101 xxx xxx 6.2% 6.6% 6.8% 6.6% 7.9%Yemen, North 102 . . . . xxx xxx xxx xxx xxxYemen, South . . . . xxx xxx xxx xxx xxx

Numbered footnotes can be found on the Footnotes worksheet.† Figures for these countries do not include military pensions‡ Figures for these countries are for current spending only (i.e. exclude capital spending)§ Figures for these countries are for the adopted budget, rather than actual expenditure¶ Figures for these countries do not include spending on paramilitary forces‖ This country changed or redenominated its currency during the period; all current price local currency figures have been converted to the latest currency.The symbols and between two parts of a series for a country indicate a series break, where data before the red lines may not be consistent with data after.

§ 98

Military expenditure by country as percentage of gross domestic product, 1988-2014


1995 1996 1997 1998 1999 2000 2001 2002 2003 2004

2.9% 3.1% 3.6% 4.0% 3.8% 3.4% 3.8% 3.7% 3.3% 3.3%. . . . 4.1% 5.3% 3.8% 3.1% 2.7% 2.2% 1.9% 1.9%

4.3% 3.9% 4.2% 3.6% 3.0% 2.3% 3.9% 3.6% 3.7% 3.4%

1.9% 2.0% 1.9% 1.8% 1.7% 1.8% 1.7% 1.7% 1.7% 1.6%

4.7% 2.4% 6.0% 2.6% 17.3% 6.4% 4.5% 3.8% 4.8% 4.1%

. . . . . . . . 0.7% 0.6% 0.5% 0.9% 1.0% 1.0%3.5% 2.9% 3.1% 3.4% 2.9% 3.3% 3.5% 3.7% 3.7% 3.1%

1.4% 1.3% 1.4% 1.3% 1.4% 1.4% 1.3% 1.3% 1.2% 1.3%4.2% 5.9% 6.4% 6.6% 6.3% 6.0% 8.0% 7.2% 7.3% 6.6%1.3% 1.2% 1.3% 1.4% 1.4% 1.3% 1.3% 1.3% 1.4% 1.4%1.3% 0.8% 0.8% 0.9% 0.8% 1.3% 0.8% 0.7% 0.7% 0.7%1.2% 1.2% . . . . . . . . . . 1.0% 1.3% 1.2%

1.4% 1.5% 1.1% 0.9% 1.4% 1.5% 1.5% 1.7% 1.5% 1.1%. . . . . . . . . . . . 1.9% 2.3% 2.6% 2.9%. . 1.5% 1.4% 0.4% 1.2% 1.0% . . . . 1.4% 2.1%

. . 0.9% 0.8% . . . . . . . . . . 1.4% 1.5%

5.8% 5.1% 5.5% 5.7% 5.5% 5.1% . . . . . . 5.6%2.1% . . . . . . . . . . . . . . . . . .

19.5% 20.3% 11.9% 32.5% 34.4% 32.7% 22.1% 20.7% 20.9% . .2.1% 1.9% 3.4% 6.3% 8.9% 7.5% 4.4% 3.5% 3.0% 2.8%

. . . . . . . . . . 1.8% 1.9% 1.9% 1.8% 1.7%1.0% 1.2% 1.3% 1.2% 1.0% 1.0% 0.9% 1.0% 1.1% 0.4%0.8% 0.6% 0.7% 0.7% 0.7% 1.1% 0.7% 0.6% 0.7% 0.6%

. . . . 1.2% 1.3% 1.6% 1.5% 2.9% 3.1% 2.4% 2.2%0.5% 0.6% 0.7% 1.4% . . 2.3% 1.6% 1.6% 1.6% . .1.6% 1.4% 1.3% 1.2% 1.2% 1.3% 1.5% 1.6% 1.7% 1.6%3.7% 3.0% 2.8% 3.4% 4.3% 4.0% 3.3% 3.0% 2.8% 2.5%

. . . . . . . . . . . . . . . . . . 0.5%0.9% 1.2% 1.5% 1.3% 1.2% 1.2% 1.4% 1.3% 1.3% 1.2%

0.8% 0.9% 1.0% 0.8% 0.8% 0.7% 0.7% 0.4% 0.4% 0.6%1.5% 1.4% 1.5% 1.4% 1.5% 1.6% 1.5% 1.5% 1.6% 1.6%2.3% 2.6% 3.0% 1.9% 2.3% 2.9% 4.0% 2.7% 4.0% 3.8%0.3% 0.3% 0.2% 0.2% 0.2% 0.2% 0.2% 0.2% 0.2% 0.2%1.5% 1.1% 1.1% 1.1% 1.2% 1.3% 1.2% 1.3% 1.3% 1.4%1.9% 1.9% 2.3% 2.3% 3.1% 2.7% 3.0% 2.6% 2.6% 2.5%1.0% 0.9% 0.9% 1.1% 1.2% 1.2% 1.3% 1.0% 0.9% 1.1%0.7% 0.6% 0.6% 0.9% 1.4% 0.8% 1.3% 1.6% 0.9% 0.7%4.4% 5.3% 4.2% 4.4% 4.4% 3.5% 3.4% 3.0% 2.4% 2.0%1.7% 1.6% 1.5% 1.5% 1.5% 1.3% 1.4% 1.4% 1.4% 1.3%2.3% 2.1% 2.0% 1.7% 1.8% 1.7% 1.8% 1.7% 1.7% 1.9%

2.9% 2.0% 1.1% . . . . 3.7% 2.8% 2.2% 2.1% 1.6%. . . . . . . . . . . . . . . . . . . .

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2.2% 1.8% 1.6% 1.4% 1.3% 1.4% 1.5% 1.6% 1.5% 1.4%xxx xxx xxx xxx xxx xxx xxx xxx xxx . .

2.3% 1.3% 1.0% 2.4% 4.0% 4.5% 2.5% 2.7% 1.9% 4.7%

1.7% 1.7% 1.5% 1.6% 1.7% 1.6% 1.5% 1.5% 1.8% 1.8%1.6% 1.6% 1.5% 1.6% 1.5% 1.5% 1.5% 1.3% 1.1% 1.0%2.0% . . . . . . . . . . . . . . 1.7% 1.6%

2.1% 2.2% 2.1% 2.4% 2.7% 2.5% 2.3% 2.3% 2.4% 2.5%

1.6% 1.2% 1.1% . . 1.8% . . . . . . . . 1.7%. . . . . . . . . . 3.5% 3.0% 7.3% 2.4% 3.2%

1.3% 1.2% 1.4% . . 0.8% 0.9% 0.9% 0.8% 0.9% 0.9%. . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . .

0.5% 0.6% 0.8% 0.8% 0.8% 1.0% 1.2% 1.1% 0.8% 0.7%

1.7% 1.6% 1.5% 1.3% 1.3% 1.3% 1.4% 1.4% 1.1% 1.0%

1.0% 0.8% 0.7% 0.7% 0.7% 0.8% 1.1% 0.8% 0.8% 0.5%0.1% . . . . . . . . . . . . . . . . . .

. . . . . . . . . . 0.7% 0.8% 0.8% 1.0% 0.7%

0.5% 0.6% 0.7% 0.5% 0.5% 0.5% 0.5% 0.6% 0.6% 0.5%

0.6% 0.6% 0.6% 0.6% 0.6% 0.6% 0.6% 0.5% 0.5% 0.4%

1.1% 0.9% 0.9% 0.7% 0.7% 0.8% 0.7% 0.9% 0.9% 0.7%1.1% 1.1% 1.2% 1.0% 1.0% . . . . . . . . . .

. . . . . . . . . . 0.0% 0.2% 0.2% 0.3% 0.6%

1.6% 1.4% 1.2% 1.3% 1.2% 1.1% 1.2% 1.2% 1.1% 1.1%3.6% 3.4% 3.2% 3.0% 2.9% 2.9% 2.9% 3.2% 3.6% 3.8%

1.5% 1.2% 1.1% 1.1% 1.2% 1.1% 1.2% 1.1% 1.1% 1.0%

2.1% 2.0% 2.3% 2.7% 2.1% 2.1% 2.3% 2.0% 2.2% 1.9%

1.9% 1.7% 1.6% 1.7% 1.7% 1.8% 2.0% 1.9% 1.5% 1.5%

2.6% 2.4% 2.5% 2.6% 2.7% 2.7% 2.7% 2.5% 2.4% 2.5%

2.8% 4.4% 2.8% 3.4% 3.8% 3.0% 3.3% 3.4% 3.5% 3.5%

2.3% 2.0% 2.1% 2.4% 1.8% 1.5% 1.6% 1.8% 2.3% 1.9%

0.9% 0.8% . . . . . . 1.8% 2.0% 2.3% 2.2% 2.8%

1.7% 1.5% 1.8% 1.6% 1.5% 1.4% 1.3% 1.2% 1.0% 1.1%1.9% 1.8% 2.0% 2.0% 1.9% 1.7% 1.7% 1.5% 1.5% 1.3%

2.7% 2.8% 2.4% 2.3% 2.4% 2.5% 2.5% 2.5% 2.3% 2.1%

1.5% 1.0% 1.8% 1.6% 1.4% 1.5% 1.6% 1.2% 1.2% 1.3%

1.0% 1.2% 1.1% 1.1% 0.9% 0.8% 1.0% 1.1% 1.1% 1.0%

3.5% 3.0% 3.1% 2.7% 2.6% 2.9% 2.3% 2.7% 2.9% 2.8%

1.1% 1.3% 1.7% 1.7% 1.4% 1.2% 1.2% 2.1% 2.2% 2.2%

2.3% 2.0% 4.0% 3.1% 2.9% . . . . . . . . . .

1.1% 1.2% 1.4% . . 1.6% 1.2% 0.8% 0.6% 0.5% . .

5.5% 6.2% 7.2% 7.5% 6.1% 5.7% 5.2% 5.3% 3.7% 2.5%

3.6% 3.2% 3.0% 2.7% 2.5% 2.2% 1.8% 1.6% 1.5% 1.3%

1.7% 1.7% 1.6% 1.7% 1.9% 1.9% 2.07% 2.17% 2.11% 2.06%1.2% 1.3% 1.5% 1.0% 0.8% 0.7% 0.6% 0.7% 0.9% 0.9%0.9% 0.9% 0.9% 0.9% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0%

. . . . . . . . . . . . . . . . . . . .3.1% 2.9% 2.9% 2.9% 2.6% 2.5% 2.4% 2.3% 2.3% 2.3%5.8% 4.2% 3.8% 2.6% 1.1% 0.8% 0.7% 0.6% 0.6% 0.5%2.8% 2.4% 2.1% 1.6% 2.1% 1.6% 2.1% 2.2% 2.6% 2.3%

1.6% 1.8% 1.6% 1.9% 1.8% 2.0% 1.8% 1.8% 1.5% 1.4%

3.7% 3.5% 2.7% 2.3% 2.0% 2.3% 1.8% 1.3% 1.9% 1.9%

2.3% 2.3% 1.9% 1.7% 1.6% 1.6% 1.5% 1.5% 1.6% 1.4%4.4% 4.4% 4.6% 5.4% 5.3% 4.6% 4.9% 5.0% 4.9% 4.5%

4.2% 4.1% 3.8% 3.4% 3.2% 2.7% 2.7% 2.5% 2.4% 2.3%

2.3% 2.2% 2.2% 1.9% 1.7% 1.5% 1.5% 1.4% 1.3% 1.2%

xxx xxx xxx xxx xxx xxx xxx . . . . . .

. . . . . . . . . . . . . . . . 2.1% 2.0%

. . . . . . . . . . . . . . . . 2.3% 2.4%1.4% 1.3% 1.4% 1.4% 1.4% 1.4% 1.3% 1.2% 1.1% 1.1%

2.7% 2.5% 2.7% 2.8% 3.1% 3.1% 2.9% 2.8% 2.7% 2.8%

0.9% 0.8% 0.8% 0.9% 0.9% 0.9% 1.1% 1.4% 1.5% 1.7%

5.8% 5.6% 5.3% 5.2% 4.5% 4.0% 4.1% 4.2% 4.1% 4.0%

5.9% 5.5% 4.6% 4.6% 4.0% 5.0% 4.3% 3.3% 2.9% 3.0%

2.0% 1.9% 1.9% 1.9% 1.9% 1.8% 1.9% 1.9% 1.8% 1.8%

1.8% 1.5% 1.5% 1.4% 1.2% 1.9% 2.0% 1.7% 1.6% 1.7%

1.8% 1.8% 1.7% 1.7% 1.6% 1.6% 1.5% 1.4% 1.4% 1.3%

1.2% 1.5% 1.6% 1.3% 1.0% 1.0% 0.8% 0.6% 0.5% 0.6%

2.1% 1.4% 1.3% 1.2% 1.2% 1.2% 1.3% 1.3% 1.3% 1.4%

4.1% 3.3% 3.9% 3.5% 3.7% 3.6% 3.1% 2.7% 2.7% 2.7%

1.1% 1.0% 1.0% 1.0% 1.0% 1.0% 0.9% 0.9% 0.9% 0.9%

2.7% 2.3% 2.3% 2.4% 2.6% 2.3% 2.3% 2.2% 2.4% 2.6%1.7% 1.3% 1.8% 1.5% 1.4% 1.3% 1.4% 1.4% 1.3% 1.4%

1.6% 1.5% 1.5% 1.5% 1.4% 1.4% 1.3% 1.2% 1.2% 1.2%

. . . . . . . . . . . . . . 3.9% 2.4% 1.9%

2.4% 2.4% 2.4% 2.5% 2.7% 2.7% 2.9% 2.9% 2.8% 2.6%

9.3% 8.3% 8.9% 6.6% 5.2% 3.1% 2.7% 2.8% 2.1% 1.8%

3.2% 4.8% 6.0% 5.1% 3.0% 3.0% 3.4% 2.3% 2.2% 2.1%

1.8% 1.7% 1.7% 1.8% 1.9% 2.0% 1.8% 1.9% 2.0% 1.8%

xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx

1.7% 1.7% 1.6% 1.6% 1.6% 1.5% 1.6% 1.5% 1.5% 1.5%

1.0% 0.9% 1.0% 1.1% 1.3% 1.4% 1.5% 1.7% 1.7% 1.7%

1.5% 1.6% 1.6% 1.5% 1.3% 1.3% 1.2% 1.2% 1.4% 1.4%

3.0% 2.9% 2.9% 2.7% 2.7% 2.5% 2.5% 2.5% 2.6% 2.6%

. . 2.2% 1.3% 1.1% 0.9% 0.6% 0.7% 1.0% 1.1% 1.4%


1.6% 1.6% 1.5% 1.5% 1.5% 1.5% 1.5% 1.5% 1.4% 1.4%

3.2% 3.3% 3.4% 3.5% 3.6% 3.6% 3.4% 3.2% 2.6% 2.7%

1.6% 1.5% 1.7% 1.5% 1.7% 1.7% 1.8% 1.6% 1.7% 1.5%

. . . . . . . . . . . . . . . . . . . .

1.0% 1.0% 0.9% 0.8% 0.8% 0.7% 0.7% 0.6% 0.6% 0.6%

1.7% 1.9% 1.9% 1.9% 2.0% 2.0% 2.0% 2.0% 2.0% 2.0%

1.3% 1.0% 0.9% 0.9% 1.1% 1.3% 1.5% 2.3% 2.4% 2.4%0.5% 0.5% 0.7% 1.2% 1.0% 1.2% 1.4% 1.3% 1.1% 1.2%0.7% 0.7% 0.7% 0.7% 0.7% 0.6% 0.8% 0.7% 0.7% 0.7%

. . 3.0% 2.2% 2.2% 1.8% 1.9% 6.6% 2.8% 2.4% 2.5%

0.9% 0.9% 0.9% 0.8% 0.7% 0.7% 0.7% 0.7% 0.7% 0.8%

0.9% 0.9% 0.9% 0.6% 0.5% 0.4% 0.4% 0.4% 0.4% 0.4%


1.9% 1.9% 1.8% 1.7% 1.7% 1.5% 1.5% 1.5% 1.6% 1.5%

2.4% 2.2% 2.1% 2.2% 2.1% 1.7% 1.7% 2.1% 2.0% 1.9%

2.0% 2.0% 2.0% 2.0% 1.9% 1.8% 1.9% 1.9% 1.9% 1.9%

2.3% 2.1% 2.1% 1.9% 1.9% 1.9% 1.9% 2.0% 1.9% 2.0%

2.6% 2.4% 3.0% 3.0% 2.7% 2.5% 2.4% 2.3% 2.1% 2.0%

4.1% 4.1% 4.3% 3.0% 3.3% 3.6% 3.8% 4.1% 3.9% 3.5%. . . . 4.5% 4.0% 4.2% 5.5% 4.3% 4.5% 3.7% 3.1%

3.2% 3.0% 2.3% 1.8% 1.6% 1.7% 1.9% 1.8% 1.9% 1.7%

1.6% 1.5% 1.4% 1.4% 1.2% 1.1% 1.3% 1.4% 1.4% 1.4%

1.4% 1.4% 1.3% 1.3% 1.2% 1.2% 1.2% 1.2% 1.1% 1.1%

2.3% 2.2% 2.1% 2.0% 2.0% 1.9% 1.8% 1.7% 1.7% 1.5%

1.4% 1.4% 1.3% 1.3% 1.2% 1.1% 1.1% 1.0% 1.0% 0.9%

2.9% 2.8% 2.6% 2.5% 2.4% 2.4% 2.4% 2.4% 2.5% 2.4%

2.8% 3.3% 4.1% 3.4% 3.0% 3.6% 2.9% 2.8% 2.8% 2.6%


5.2% 5.3% 5.1% 5.3% 5.5% 4.0% 4.2% 4.6% 4.7% 4.1%3.9% 3.5% 3.3% 3.3% 3.2% 3.2% 3.3% 3.4% 3.3% 3.0%2.4% 2.5% 2.8% 2.9% 2.7% 2.5% 2.7% 2.4% 2.7% 3.1%

. . . . . . . . . . . . . . . . . . 1.7%

8.9% 8.7% 8.5% 7.9% 7.4% 7.1% 7.4% 8.3% 8.5% 8.2%

4.5% 6.0% 6.1% 6.3% 6.3% 6.3% 5.9% 5.4% 6.0% 5.1%

13.6% 10.3% 8.1% 8.8% 7.6% 7.2% 7.7% 7.4% 6.5% 5.8%

. . . . 4.3% 4.0% 4.8% 5.4% 5.4% 4.7% 4.6% 4.6%

14.6% 12.5% 12.5% 12.6% 11.5% 10.8% 12.5% 12.4% 12.2% 12.1%

. . . . . . . . . . . . . . 3.9% 3.3% 2.4%

9.3% 8.5% 11.0% 14.3% 11.4% 10.6% 11.5% 9.8% 8.7% 8.1%

6.9% 6.0% 5.9% 5.8% 5.8% 5.5% 5.5% 5.4% 6.2% 5.5%

3.9% 4.1% 4.1% 3.3% 4.0% 3.7% 3.7% 3.9% 3.4% 2.8%

. . . . 6.8% 8.6% 7.7% 8.3% 5.6% 4.9% 4.7% 4.6%6.0% 5.0% 5.5% 5.7% 4.9% 4.4% 4.8% 6.0% 6.0% 4.7%

xxx xxx xxx xxx xxx xxx xxx xxx xxx xxxxxx xxx xxx xxx xxx xxx xxx xxx xxx xxx

‖ This country changed or redenominated its currency during the period; all current price local currency figures have been converted to the latest currency.between two parts of a series for a country indicate a series break, where data before the red lines may not be consistent with data after.

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

2.8% 2.6% 2.9% 3.0% 3.8% 3.5% 4.3% 4.5% 5.0% 5.4%1.4% 1.0% 0.9% 1.2% . . . . . . 3.3% . . 6.2%3.4% 3.3% 3.2% 3.3% 3.4% 3.5% 3.4% 3.5% 3.9% 3.7%

1.5% 1.4% 1.3% 1.3% 1.3% 1.3% 1.5% 1.5% 1.6% 1.8%

4.5% 4.4% 3.4% 3.7% 4.3% 4.2% 3.5% 3.6% 4.9% 5.2%

1.0% 1.0% . . 1.0% . . . . . . 1.0% 1.0% 1.0%2.9% 2.7% 2.8% 3.0% 3.3% 2.5% 2.4% 2.3% 2.0% 2.0%

1.4% 1.4% 1.8% 1.5% 1.5% 1.4% 1.4% 1.4% 1.4% 1.3%4.4% 3.5% 3.4% 2.7% . . . . . . 2.3% 2.2% 2.0%1.3% 1.4% 1.5% 1.5% 1.5% 1.5% 1.3% 1.3% 1.3% 1.3%0.7% 0.6% 0.5% 0.5% 0.5% 0.5% 0.5% 0.5% 0.5% 0.6%1.1% . . 1.1% 1.5% 1.7% 2.5% . . . . . . . .

0.9% 3.5% 5.5% 7.1% 10.5% 7.6% 6.6% . . . . . .1.7% 1.7% 2.2% 2.0% . . 2.0% . . . . 3.0% 5.6%2.3% 2.4% 2.1% 1.4% 1.1% 1.4% 1.5% 2.1% 2.0% 2.0%

1.5% 1.5% 1.6% 1.6% 1.8% 1.7% 1.5% 1.7% . . . .

6.3% 6.4% 4.1% 3.7% . . . . . . . . . . . .. . . . 1.8% 1.9% 3.7% . . . . . . . . 1.0%. . . . . . . . . . . . . . . . . . . .

2.5% 2.0% 1.5% 1.3% 1.1% 1.0% 0.9% 0.8% 0.7% 0.7%

1.3% 1.1% 1.1% . . . . 0.9% . . 1.4% 1.4% . .0.5% 0.4% 0.6% 1.7% 0.7% . . . . 1.2% 1.1% 1.6%0.6% 0.6% 0.8% 0.6% 0.7% 0.6% 0.9% 1.2% 0.8% 0.7%

. . . . . . . . . . . . . . 3.0% 3.1% 3.8%2.1% . . . . . . 1.7% 2.0% 1.8% 1.8% . . . .1.7% 1.7% 1.8% 1.9% 1.9% 1.9% 1.9% 2.1% 2.0% 1.7%2.5% 2.5% 2.5% 1.7% 2.8% 3.2% 2.3% 2.3% 2.2% 2.2%1.2% 0.5% 0.4% 0.4% 0.6% 0.7% 0.9% 0.8% 0.8% 0.8%1.1% 1.0% 1.1% 1.1% 0.8% 0.7% 0.7% 0.7% 0.7% 0.7%

1.0% 0.8% 0.8% 0.8% 0.9% 0.7% 0.7% 0.9% 1.3% 0.9%1.6% 1.6% 1.5% 1.6% 1.6% 1.6% 1.5% 1.4% 1.3% 1.4%3.1% 2.7% . . 3.5% 4.0% . . . . 4.0% 3.9% 3.8%0.2% 0.2% 0.1% 0.2% 0.2% 0.2% 0.2% 0.1% 0.2% 0.3%0.9% 0.8% 0.9% 0.8% 0.9% 1.1% 0.9% 1.0% 1.0% 1.0%2.6% 2.5% 2.6% 3.0% 3.4% 3.6% 3.5% 3.2% 3.2% 4.6%1.0% . . . . 1.0% 1.0% 1.2% 1.3% 1.0% . . . .0.6% 0.5% 0.6% 0.8% 0.9% 0.5% 0.6% 0.5% 0.5% 0.4%1.7% 1.8% 1.5% 1.4% 1.4% 1.3% 1.2% 1.1% 1.1% 1.1%1.4% 1.6% 1.7% 1.6% 1.7% 1.5% 1.6% 1.4% 1.6% 1.5%1.6% 1.4% 1.5% 1.2% 1.0% 0.7% 0.8% 0.9% 1.0% 1.1%

1.4% 1.5% 1.4% 1.0% 1.1% 1.0% 0.9% 0.6% 0.5% 0.6%. . . . . . . . . . . . . . . . . . . .

Front page

1.4% 1.3% 1.2% 1.2% 1.3% 1.2% 1.1% 1.2% 1.2% 1.2%. . . . . . 5.9% 5.1% 4.3% 5.8% 9.9% 7.2% 9.3%

3.3% 3.4% . . . . . . . . . . . . . . . .

2.3% 2.0% 2.0% 2.2% 2.4% 2.6% 2.6% 2.3% 2.3% 2.2%1.0% 1.0% 1.0% 0.9% 1.0% 1.2% 1.3% 1.3% 1.2% 1.3%1.6% . . . . 1.8% . . 1.8% 1.6% . . . . . .

2.4% 2.2% 2.0% 2.2% 2.0% 3.8% 3.9% 1.8% 1.4% 1.3%

1.8% 1.7% 2.1% 2.1% 1.7% 1.6% 1.5% 1.5% 1.6% 1.8%

1.7% 2.3% . . . . . . 1.0% 1.8% 2.6% 2.7% 2.7%

1.0% 1.0% 1.1% 1.4% 1.3% 1.1% 1.0% 1.0% 1.0% 1.1%. . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . .

0.8% 0.7% 0.7% 0.7% 0.7% 0.7% 0.6% 0.6% 0.6% 0.6%

1.0% 1.0% 1.0% 1.0% 1.0% 1.1% 1.1% 1.1% 1.1% 1.0%

0.4% 0.4% 0.4% 0.4% 0.4% 0.4% 0.4% 0.4% 0.5% 0.4%. . . . . . . . . . . . . . . . . . . .

0.6% 0.7% 0.8% 1.0% 1.1% 1.1% 1.1% 1.0% 1.2% 1.3%

0.5% 0.6% 0.7% 1.0% 0.9% 0.9% 0.9% 0.9% 0.9% 0.9%

0.4% 0.4% 0.5% 0.4% 0.5% 0.6% 0.6% 0.6% 0.6% 0.7%

0.7% 0.5% 0.5% 0.5% 0.5% 0.5% 0.5% 0.7% 0.8% 0.7%. . . . . . . . . . . . . . . . . . . .

0.6% 0.6% 0.6% 0.5% 0.7% 0.7% 0.6% 0.7% 0.9% 0.8%

1.1% 1.2% 1.2% 1.3% 1.4% 1.2% 1.2% 1.1% 1.0% 1.0%3.8% 3.8% 3.8% 4.2% 4.6% 4.7% 4.6% 4.2% 3.8% 3.5%

0.9% 0.9% 0.9% 0.8% 1.0% 0.9% 0.9% 1.0% 1.1% 1.0%

1.8% 1.6% 1.7% 2.0% 2.0% 1.7% 1.5% 1.5% 1.5% 1.4%

1.5% 1.5% 1.5% 1.5% 1.6% 1.6% 1.5% 1.5% 1.5% 1.4%

2.4% 2.4% 2.3% 2.5% 2.2% 2.2% 2.2% 2.1% 1.9% 2.0%

3.4% 3.3% 3.3% 3.7% 3.9% 3.6% 3.1% 3.2% 3.4% 3.4%

2.3% 2.0% 2.6% 2.7% 3.2% 3.1% 3.1% 2.8% 2.8% 2.7%

2.2% 2.1% 2.3% 2.6% 2.5% 1.4% 1.3% 1.2% 1.2% 1.2%

0.9% 1.1% 1.0% 1.0% 1.1% 1.1% 1.2% 1.3% 1.4% 1.5%

1.4% 1.3% 1.1% 1.1% 1.4% 1.3% 1.1% 1.2% 1.5% 1.4%

2.1% 2.1% 1.8% 2.0% 2.1% 2.0% 1.8% 1.8% 1.9% 1.7%

1.4% 1.6% 1.3% 1.4% 1.2% 0.9% 0.8% 1.3% 1.5% 1.1%

1.0% 1.0% 1.3% 1.1% 1.1% 1.1% 1.0% 1.1% 1.1% 1.1%

3.1% 3.2% 3.1% 2.9% 3.2% 3.8% 3.4% 3.2% 3.2% 3.5%

. . . . . . 1.0% 1.0% 1.0% 1.1% 1.0% . . 1.1%

. . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . .

2.6% 2.6% 2.6% 2.5% 3.3% 3.2% 2.5% 2.4% 2.6% 3.1%

1.2% 1.3% 1.1% 1.2% 2.3% 1.6% 1.6% 1.5% 1.6% 1.6%

2.02% 2.03% 2.05% 2.02% 2.19% 2.07% 2.01% 2.02% 2.02% 2.06%

0.8% 0.7% 0.8% 0.6% 0.6% 0.7% 0.7% 0.9% 1.0% 0.8%

1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0%

. . . . . . . . . . . . . . . . . . . .

2.5% 2.5% 2.5% 2.6% 2.7% 2.5% 2.6% 2.6% 2.6% 2.6%

0.4% 0.4% 0.4% 0.3% 0.3% 0.2% 0.2% 0.2% . . . .

2.2% 2.0% 2.1% 1.9% 2.0% 1.6% 1.7% 1.5% 1.5% 1.5%

1.2% 1.1% 1.3% 1.2% 0.8% 0.9% 1.0% 1.1% . . . .

1.6% . . . . . . . . . . 2.6% 4.6% 4.7% 4.3%

1.3% 1.3% 1.3% 1.3% 1.3% 1.2% 1.2% 1.2% 1.2% 1.1%

4.4% 4.0% 3.7% 3.9% 4.0% 3.5% 3.3% 3.2% 3.2% 3.3%

2.2% 2.0% 2.1% 2.2% 2.4% 2.1% 2.1% 2.2% 2.1% 2.0%

1.1% 1.2% 1.4% 1.6% 1.8% 1.6% 1.6% 1.5% 1.5% 1.5%

0.5% 0.6% 0.8% 0.5% 1.1% 0.6% 0.4% 0.6% 0.6% 0.6%

1.8% 1.9% 2.3% 2.2% 2.3% 2.3% 2.0% 2.2% 2.2% 2.2%

2.0% 1.9% 2.6% 2.3% 2.1% 1.9% 1.8% 1.2% 1.0% 1.2%

1.1% 1.1% 1.1% 1.1% 1.1% 1.3% 1.4% 1.3% 1.3% 1.2%

2.8% 2.5% 2.3% 2.6% 2.9% 2.7% 2.6% 2.5% 2.5% 2.4%

1.8% 1.7% 1.5% 1.4% 1.5% 1.5% 1.5% 1.4% 1.4% 1.4%

3.9% 3.7% 3.4% 3.1% 3.1% 3.1% 3.1% 3.2% 3.2% 3.1%

2.6% 2.8% 3.3% 3.7% 3.6% 3.1% 3.0% 2.5% 2.7% 2.5%

1.8% 1.8% 1.8% 1.8% 1.9% 1.9% 1.8% 1.7% 1.7% 1.8%

1.4% 1.7% 2.2% 1.5% 1.7% 1.6% 1.6% 1.5% 1.4% 1.2%

1.2% 1.3% 1.3% 1.3% 1.4% 1.3% 1.3% 1.2% 1.2% 1.2%

0.6% 0.5% 0.6% 0.5% 0.6% 0.5% 0.5% 0.7% 0.5% 0.6%

1.4% 1.6% 1.8% 2.0% 2.1% 1.6% 1.5% 1.5% 1.4% 1.0%

2.9% 2.9% 3.0% 3.4% 4.2% 4.3% 3.9% 3.8% 4.3% 4.2%

0.9% 0.8% 0.9% 0.9% 0.9% 0.9% 0.8% 0.8% 0.8% 0.8%

2.3% 3.4% 2.9% 3.3% 3.3% 2.8% 4.7% 4.7% 4.7% 4.6%

1.5% 1.7% 1.6% 1.5% 1.4% 1.4% 1.3% 1.2% 1.3% 1.2%

1.1% 1.1% 1.1% 1.2% 1.2% 1.1% 1.1% 1.1% 1.0% 1.0%

1.5% 1.3% 1.1% 1.1% 1.2% 1.2% 1.2% 1.2% 1.1% 1.1%

2.4% 2.3% 2.5% 2.0% 2.0% 1.9% 1.5% 1.6% 1.7% 1.6%

1.8% 1.7% 1.6% 1.8% 1.8% 1.7% 1.8% 1.7% 1.7% 1.5%

2.2% 2.1% 1.9% 1.8% 2.0% 2.1% 1.9% 1.8% 1.9% 2.0%

1.9% 1.7% 1.5% 1.3% 1.4% 1.3% 1.1% 1.1% 1.0% 1.0%


1.3% 1.4% 1.3% 1.4% 1.4% 1.4% 1.4% 1.4% 1.3% 1.3%

1.9% 1.9% 2.1% 2.1% 2.3% 1.8% 1.7% 2.0% 2.0% 2.0%

1.4% 1.4% 1.2% 1.3% 1.5% 1.4% 1.4% 1.5% 1.5% 1.4%

2.5% 2.4% 2.3% 2.3% 2.6% 2.4% 2.3% 2.3% 2.3% 2.2%

3.3% 5.2% 9.2% 8.5% 5.6% 3.9% 3.2% 3.1% 2.5% 2.3%


1.4% 1.3% 1.3% 1.3% 1.4% 1.4% 1.3% 1.4% 1.3% 1.2%

2.9% 2.9% 2.8% 3.1% 3.3% 2.8% 2.5% 2.4% 2.5% 2.2%

1.4% 1.3% 1.3% 1.2% 1.2% 1.1% 1.1% 1.1% 0.9% 0.9%

. . . . . . . . 0.2% 0.2% 0.1% 0.1% . . . .

0.5% 0.5% 0.5% 0.6% 0.6% 0.6% 0.5% 0.5% 0.5% 0.5%

1.9% 1.8% 1.7% 1.8% 1.8% 1.8% 1.7% 1.7% 1.6% 1.5%

2.4% 2.6% 2.4% 2.5% 2.0% 1.5% 1.5% 1.3% 1.3% 1.3%

1.2% 1.2% 1.1% 1.1% 1.1% 0.9% 0.8% 0.8% 0.8% 0.8%

0.6% 0.6% 0.6% 0.5% 0.6% 0.6% 0.5% 0.5% 0.5% 0.5%

2.1% 1.9% 2.0% 1.8% 1.7% 1.4% 1.3% 1.2% 1.2% 1.3%

0.9% 0.7% 0.7% 0.6% 0.7% 0.7% 0.6% 0.6% 0.6% 0.6%

0.4% 0.5% 0.5% 0.6% 0.5% 0.3% 0.3% 0.3% 0.3% 0.4%

xxx 2.3% 1.7% 1.9% 1.9% 1.8% 1.8% 1.7% 1.5% 1.7%

1.5% 1.5% 1.5% 1.4% 1.5% 1.4% 1.4% 1.3% 1.3% 1.2%

1.6% 1.5% 1.5% 1.4% 1.6% 1.5% 1.5% 1.4% 1.4% 1.4%

1.9% 1.9% 2.0% 1.8% 1.8% 1.9% 1.8% 1.8% 1.8% 1.9%

2.1% 2.0% 1.9% 1.9% 2.1% 2.1% 2.1% 2.0% 2.2% 1.9%

2.0% 1.8% 1.5% 1.5% 1.4% 1.3% 1.3% 1.4% 1.3% 1.3%

3.6% 3.5% 3.4% 3.3% 4.1% 3.8% 3.7% 4.0% 4.2% 4.5%

2.5% 2.4% 2.5% 2.3% 2.4% 2.4% 2.3% 2.2% 2.2% 2.3%

1.7% 1.6% 1.5% 1.5% 1.5% 1.3% 1.1% 1.1% 1.0% 1.0%

1.4% 1.5% 1.4% 1.5% 1.6% 1.6% 1.3% 1.2% 1.1% 1.0%

1.0% 1.2% 1.2% 1.2% 1.2% 1.1% 1.0% 1.1% 0.9% 0.9%

1.5% 1.4% 1.4% 1.2% 1.2% 1.3% 1.2% 1.2% 1.2% 1.2%

0.9% 0.8% 0.8% 0.8% 0.8% 0.7% 0.8% 0.7% 0.8% 0.8%

2.4% 2.3% 2.3% 2.4% 2.6% 2.5% 2.4% 2.4% 2.2% 2.2%

2.8% 2.8% 2.9% 2.7% 2.9% 2.7% 2.3% 2.3% 2.4% 3.1%


3.2% 3.1% 3.0% 2.8% 3.6% 3.3% 3.6% 3.9% 4.1% 4.2%

2.9% 2.7% 2.5% 2.3% 2.1% 2.1% 1.9% 1.8% 1.6% 1.6%

3.3% 3.6% 3.0% 3.1% 3.5% 3.2% 2.5% 2.3% . . . .

2.2% 1.9% 2.2% 2.2% 2.7% 2.6% 3.3% 2.9% 3.5% 4.2%

7.6% 7.5% 6.8% 6.6% 6.8% 6.3% 6.0% 5.7% 5.8% 5.2%

4.8% 4.7% 6.0% 6.1% 5.9% 5.0% 4.8% 4.0% 3.5% 3.5%

4.3% 3.5% 3.6% 3.0% 4.0% 3.6% 3.4% 3.2% 3.1% . .

4.5% 4.6% 4.7% 4.1% 4.1% 4.2% 4.1% 4.1% 4.0% 4.5%

11.8% 10.8% 10.3% 7.6% 9.3% 8.3% 9.6% 15.9% 14.8% 11.6%

2.0% 1.8% 2.0% 2.0% 2.0% 1.5% . . . . . . . .

7.7% 7.8% 8.5% 7.4% 9.6% 8.6% 7.2% 7.7% 9.0% 10.4%

5.0% 4.4% 4.1% 3.6% 4.0% 4.1% . . . . . . . .

2.5% 2.5% 2.3% 2.3% 2.6% 2.4% 2.2% 2.3% 2.2% 2.2%

3.7% 3.2% 3.3% 3.7% 5.1% 5.7% 5.2% 4.8% 5.5% 5.1%

4.3% 3.6% 4.1% 3.9% 5.0% 4.6% 5.1% 4.9% 4.4% 4.1%xxx xxx xxx xxx xxx xxx xxx xxx xxx xxxxxx xxx xxx xxx xxx xxx xxx xxx xxx xxx

Military expenditure by country as percentage of Government spending, 1988-2014Countries are grouped by region and subregionFigures are for miltary expenditure expressed as a percentage of general government expenditure, and are for financial years.Data for general government expenditure are from the IMF World Economic Outlook, and include spending by all levels of govt.: central/federal, state/provincial/regional, municipal and local government, etc.


Country Notes Financial Yea 1988 1989 1990 1991 1992 1993 1994

AfricaNorth AfricaAlgeria 1 January . . . . 5.7% 4.4% 7.5% 7.6% 10.1%Libya January . . . . . . . . . . . . . .Morocco 3 Special, see n . . . . 14.5% 15.8% 15.1% 15.8% 16.3%

Tunisia January . . . . . . 5.9% 5.8% 5.6% 5.8%Sub-SaharanAngola January . . . . . . . . . . . . . .

Benin January . . . . 7.6% . . . . . . . .Botswana April 10.6% 10.0% 11.2% 10.7% 10.1% 10.7% 10.2%

Burkina Faso January 14.6% 21.3% 28.9% 14.0% 13.8% 9.4% 8.0%Burundi January . . . . . . . . 13.9% 14.4% 19.2%Cameroon § January . . . . . . . . . . . . . .Cape Verde January . . . . . . . . . . . . . .Central African Rep. January . . . . . . 7.2% 8.3% 14.0% 5.8%

Chad January . . . . . . . . . . . . . .Congo § January . . . . . . . . 11.7% 11.1% . .Congo, Dem. Rep. 8 January . . . . . . . . . . . . . .

Côte d’Ivoire 9 January . . . . . . . . . . . . . .

Djibouti January . . . . 15.2% 16.9% 13.6% 12.7% 13.1%Equatorial Guinea January . . . . . . . . . . . . 7.0%Eritrea January xxx xxx xxx xxx xxx 41.0% 32.6%Ethiopia 11 July 30.5% 30.4% 28.6% 14.0% 17.8% 17.0% 10.4%

Gabon 12 January . . . . . . . . . . . . . .Gambia January . . . . . . . . . . . . . .Ghana January 2.5% 2.2% 2.6% 3.3% 2.5% 2.4% 2.2%Guinea 15 January . . . . . . 10.5% 8.8% 7.2% 7.7%Guinea-Bissau January . . . . . . . . . . . . . .Kenya July 8.8% 10.0% 9.0% 6.5% 6.1% 5.8% 4.6%Lesotho April 8.9% 12.5% 10.6% 9.4% 7.9% 7.5% 8.8%Liberia 17 July . . . . . . . . . . . . . .Madagascar January 9.0% 6.1% 7.1% 7.8% 3.8% 5.4% 4.6%

Malawi April . . . . . . . . . . . . . .Mali ¶ January . . . . . . . . . . . . . .Mauritania January . . . . . . . . . . . . . .Mauritius July . . . . . . . . . . . . . .Mozambique January 11.1% 12.5% 11.4% 10.8% 10.1% 10.0% 10.7%Namibia 21 April xxx xxx 25.5% 14.0% 11.4% 5.6% 5.7%Niger January . . . . . . . . . . . . . .Nigeria 22 January . . . . . . . . . . . . . .Rwanda 23 Special, see n . . . . . . . . 16.3% 19.7% 21.4%Senegal January . . . . . . . . . . . . . .Seychelles January 9.2% 8.3% 8.7% 8.5% 9.3% 4.5% 3.8%

Figures in blue are SIPRI estimates. Figures in red indicate highly uncertain data.

‡ ¶ 2

‖ 4

† 5‡ 6

‡ 7

‖ 10

‡ 13‖ 14

‖ 16

‖ 18

‡ 19

‖ 20

§ ¶ 24

Sierra Leone 25 January . . . . . . . . . . . . . .Somalia 26 January . . . . . . . . . .South Africa April . . . . . . . . . . . . . .South Sudan 27 January xxx xxx xxx xxx xxx xxx xxxSudan January . . . . 12.6% 8.5% 8.6% 15.2% 14.2%

Swaziland April 6.0% 6.4% 7.5% 6.6% 6.7% 7.3% 7.1%Tanzania July . . . . . . 15.8% 9.6% 5.6% 8.6%Togo January . . 10.8% 10.9% 11.5% 13.5% 15.5% 11.3%

Uganda July . . . . . . . . . . . . . .

Zambia January . . . . . . . . . . . . . .

Zimbabwe January . . . . . . . . . . . . . .

AmericasCentral America and the Caribbean

Belize April . . . . . . . . . . . . . .Costa Rica 31 January . . . . . . . . . . . . . .

Cuba 32 January . . . .

Dominican Rep. January . . . . . . . . . . . . . .

El Salvador 33 January . . . . . . . . 15.1% 13.3% 11.2%

Guatemala January . . . . . . . . . . . . . .Haiti 34 April . . . . . . . . . . . . . .

Honduras 35 January . . . . . . . . . . . . . .

Jamaica April . . . . 2.3% 2.3% 4.6% 2.5% 2.1%

Mexico January . . . . 1.8% 2.1% 2.4% 2.6% 3.0%

Nicaragua 36 January . . . . . . . . . . . . . .Panama 37 January 5.5% 5.3% 3.6% 7.0% 4.6% 4.2% 17.5%

Trinidad & Tobago October . . . . . . . . . . . . . .North America

Canada April 3.9% 3.9% 3.7% 3.2% 3.2% 3.1% 3.0%USA 38 October . . . . . . . . . . . . . .South America

Argentina January . . . . . . . . . . . . . .

Bolivia 39 January . . 8.9% 12.4% 11.2% 9.9% 7.1% 8.4%

Brazil January . . . . . . . . . . . . . .

Chile January . . . . 14.8% 12.8% 12.0% 12.2% 12.3%

Colombia 41 January 10.1% 9.0% 9.1% 9.0% 9.7% 10.8% 10.2%

Ecuador 42 January . . . . . . . . . . ### ###

Guyana January . . . . . . . . . . . . . .

Paraguay 44 January . . 14.9% 16.6% 17.2% 14.0% 10.4% 10.3%

Peru 45 January . . . . . . . . . . . . . .

Uruguay January . . . . . . . . . . . . . .

Venezuela January . . . . . . 5.4% 5.4% 7.8% 3.8%

Asia & OceaniaCentral Asia

Kazakhstan January xxx xxx xxx xxx . . . . . .

Kyrgyzstan 47 January xxx xxx xxx xxx . . . . . .

Tajikistan January xxx xxx xxx xxx . . . . . .

‡ ‖ 28

‡ 29

‖ 30

§ 40

‡ 43

‖ 46

Turkmenistan 48 January xxx xxx xxx xxx . . . . . .

Uzbekistan 49 January xxx xxx xxx xxx . . . . 4.5%East Asia

Brunei 50 Special, see n 13.2% 12.5% 14.7% 15.2% 13.4% 11.0% 9.3%

Cambodia January . . . . . . . . . . . . . .

China, P. R. 51 January . . 13.7% 14.2% 14.6% 17.2% 15.2% 14.4%

Indonesia 52 Special, see n . . . . . . . . . . 7.2% 8.2%

Japan April 2.8% 2.8% 2.7% 2.8% 2.8% 2.8% 2.8%

Korea, North 54 January

Korea, South 55 January . . . . . . . . . . . . . .

Laos January . . . . . . . . . . . . . .

Malaysia January . . . . 7.2% 9.9% 8.9% 9.9% 10.4%

Mongolia January 13.5% 12.1% 8.8% 8.2% 7.0% 5.0% 5.9%

Myanmar 56 April . . . . . . . . . . . . . .

Philippines 57 January . . . . . . . . . . . . 9.7%

Singapore April . . . . 25.9% 23.0% 26.2% 23.7% 20.7%

Taiwan January 24.3% 17.1% 19.1% 16.9% 16.5% 19.2% 15.0%

Thailand October (previ. . . . . . . . . . . . . .

Timor Leste 58 Special, see n xxx xxx xxx xxx xxx xxx xxx

Viet Nam 59 January . . . . . . . . . . . . . .South Asia

Afghanistan 60 January . . . . . . . . . . . . . .

Bangladesh July 9.9% 9.5% 8.9% 9.7% 11.0% 9.8% 11.7%

India 61 April 16.1% 14.6% 13.4% 11.7% 11.0% 12.2% 11.0%

Nepal ¶ July . . . . . . . . . . . . . .

Pakistan July . . . . . . . . . . 26.2% 29.8%

Sri Lanka 63 January . . . . 7.5% 9.6% 11.9% 12.1% 12.6%Oceania

Australia July 7.3% 7.3% 7.1% 6.8% 6.6% 6.7% 6.4%

Fiji January . . . . . . . . 6.9% 6.7% 6.7%

New Zealand July 6.1% 5.7% 5.1% 4.7% 4.3% 4.7% 4.8%

Papua New Guinea January 4.3% 4.3% 5.6% 4.0% 3.8% 3.8% 5.1%

EuropeAlbania January . . . . . . . . . . . . . .

Armenia January xxx xxx xxx xxx . . . . . .

Austria January 2.6% 2.5% 2.4% 2.3% 2.1% 2.0% 1.9%

Azerbaijan January xxx xxx xxx xxx . . . . . .

Belarus January xxx xxx xxx xxx . . . . ###

Belgium January 4.7% 4.6% 4.4% 4.2% 3.3% 3.1% 3.1%

Bosnia-Herzegovina January xxx xxx xxx xxx . . . . . .

Bulgaria January . . . . . . . . . . . . . .

Croatia 71 January xxx xxx xxx xxx . . . . . .

Cyprus † ‖ January . . . . . . . . . . . . . .

Czech Rep. 72 January xxx xxx xxx xxx xxx . . . .Czechoslovakia 73 January xxx xxx xxx

† 53

‡ 62

† 64

‡ 65

§ ¶ 66

† 67

‖ 68

† ¶ 69

† 70

Denmark January 3.6% 3.5% 3.5% 3.5% 3.3% 3.1% 2.9%

Estonia January xxx xxx xxx xxx . . . . . .

Finland January 3.1% 3.2% 3.2% 3.1% 3.0% 2.8% 2.7%

France 75 January 7.0% 7.0% 6.7% 6.6% 6.2% 5.9% 5.9%

Georgia January xxx xxx xxx xxx . . . . . .German DR 77 January xxx xxx xxx xxx xxx

Germany January . . . . . . 4.7% 4.3% 3.9% 3.5%

Greece 78 January 10.0% 8.8% 8.0% 8.0% 8.0% 7.5% 7.9%

Hungary January . . . . . . . . . . . . . .

Iceland January . . . . . . . . . . . . . .

Ireland January 2.2% 2.4% 2.9% 2.7% 2.6% 2.6% 2.6%

Italy 80 January 4.5% 4.3% 3.9% 3.6% 3.4% 3.4% 3.4%

Latvia 81 January xxx xxx xxx xxx . . . . . .

Lithuania January xxx xxx xxx xxx . . 2.2% 1.4%

Luxembourg January . . . . . . . . . . . . . .

Macedonia, FYR 82 January xxx xxx xxx xxx . . . . . .

Malta † ‖ January . . . . . . . . . . . . . .

Moldova January . . . . . . . . . . . . . .

Montenegro 84 January xxx xxx xxx xxx xxx xxx xxxNetherlands January . . . . . . . . . . . . . .

Norway January 5.8% 5.9% 5.7% 5.3% 5.6% 5.2% 5.4%

Poland 85 January . . . . . . . . . . . . . .

Portugal January 6.0% 6.1% 5.8% 5.3% 5.1% 5.2% 5.3%

Romania ‖ January . . . . . . . . . . . . . .

Russia/USSR 86 January . . . . . . . . . . . . . .

Serbia 87 January xxx xxx xxx xxx . . . . . .

Slovak Rep. † ‖ January xxx xxx xxx xxx xxx . . . .

Slovenia ‖ January xxx xxx xxx xxx . . . . . .

Spain January 5.1% 4.8% 4.2% 3.8% 3.4% 3.5% 3.2%

Sweden 88 January 4.3% 4.1% 4.2% 3.8% 3.4% 3.5% 3.5%

Switzerland January 5.3% 5.2% 5.4% 5.0% 4.6% 4.0% 3.9%UK 90 April 10.5% 10.5% 9.9% 10.0% 8.6% 8.1% 7.6%

Ukraine January xxx xxx xxx xxx . . . . . .

Yugoslavia (former) 92 January . . xxx xxx xxx

Middle EastBahrain 93 January . . . . 14.3% 17.0% 16.7% 16.8% 16.3%

Egypt July . . . . . . . . . . . . . .

Iran 94 April . . . . 14.5% 12.7% 10.1% 5.6% 8.4%

Iraq 95 January . . . . . . . . . . . . . .

Israel 96 January . . . . . . . . . . . . . .

Jordan January 21.0% 21.2% 17.5% 22.1% 19.2% 18.9% 18.7%

Kuwait April . . . . 92.0% 44.1% 16.7% 20.6% 24.1%

Lebanon January . . . . . . . . . . . . . .

Oman January . . . . 39.5% 34.3% 35.3% 33.5% 34.4%

‖ 74

† 76

† 79

† ¶ 83

† ¶ 89

§ 91

‡ 97

Qatar January . . . . 25.3% 27.7% . . . . . .

Saudi Arabia January . . . . . . . . . . . . . .

Syria 99 January . . . . 22.7% 28.3% 24.5% 22.9% 23.9%Turkey ‖ January . . . . . . . . . . . . . .

UAE 100 January . . . . . . . . . . . . . .

Yemen 101 January xxx xxx 24.6% 28.2% 29.6% 27.4% 33.4%Yemen, North 102 January . . . . xxx xxx xxx xxx xxxYemen, South January . . . . xxx xxx xxx xxx xxx

Numbered footnotes can be found on the Footnotes worksheet.† Figures for these countries do not include military pensions‡ Figures for these countries are for current spending only (i.e. exclude capital spending)§ Figures for these countries are for the adopted budget, rather than actual expenditure¶ Figures for these countries do not include spending on paramilitary forces‖ This country changed or redenominated its currency during the period; all current price local currency figures have been converted to the latest currency.The symbols and between two parts of a series for a country indicate a series break, where data before the red lines may not be consistent with data after.

§ 98

Military expenditure by country as percentage of Government spending, 1988-2014

Figures are for miltary expenditure expressed as a percentage of general government expenditure, and are for financial years.Data for general government expenditure are from the IMF World Economic Outlook, and include spending by all levels of govt.: central/federal, state/provincial/regional, municipal and local government, etc.


1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

10.0% 11.0% 11.9% 12.8% 11.8% 12.1% 12.3% 10.8% 10.1% 10.7% 10.4% 9.2% 8.8%. . . . 11.7% 14.2% 11.5% 10.3% 6.3% 5.2% 4.8% 4.9% 5.0% 3.6% 2.8%24.0% 18.1% 18.3% 17.2% 16.8% 9.0% 14.5% 12.5% 13.4% 12.3% 10.5% 11.1% 10.7%

5.6% 5.8% 6.0% 5.9% 5.4% 5.3% 5.2% 5.0% 5.1% 4.9% 5.0% 5.0% 4.3%

. . . . . . . . . . 12.9% 10.8% 9.2% 10.9% 11.6% 13.9% 12.3% 8.2%

. . . . . . . . 3.7% 2.6% 2.3% 4.1% 4.7% 5.1% 4.8% 5.1% . .9.2% 7.8% 8.6% 9.2% 7.5% 8.7% 9.5% 9.2% 9.2% 8.4% 8.2% 8.3% 7.9%

7.1% 6.5% 7.0% 6.3% 5.8% 6.2% 5.9% 6.1% 6.1% 6.0% 5.9% 5.1% 6.2%17.4% 21.8% 31.3% 29.3% 25.1% 24.7% 29.5% 27.6% 20.9% 17.0% 16.9% 12.7% 8.8%

. . . . . . . . . . 7.6% 8.3% 4.4% 9.0% 8.8% 9.2% 9.8% 9.3%

. . . . . . . . . . . . . . 1.8% 2.2% 1.9% 1.9% 1.7% 1.8%6.9% 7.0% . . . . . . . . . . 6.5% 10.3% 8.6% 6.8% . . 8.5%

7.7% 8.8% 6.1% 6.2% 7.2% 7.5% 8.7% 8.5% 6.8% 7.9% 7.2% 21.6% 26.4%. . . . . . . . . . . . 8.0% 8.5% 9.0% 10.0% 6.9% 5.9% 6.7%. . 16.2% 12.8% 3.5% 12.3% 8.9% . . . . 8.8% 12.8% 10.2% 10.1% 9.9%

. . . . 3.6% . . . . . . . . . . 8.0% 8.1% 7.8% 7.5% 8.1%

15.2% 14.3% 14.9% 15.4% 15.0% 14.4% 15.3% 17.0% 18.3% 15.0% 17.2% 17.2% 10.8%9.5% . . . . . . . . . . . . . . . . . . . . . . 7.6%

31.1% 38.3% 25.5% 47.7% 41.9% 44.0% 32.1% 33.0% 31.1% . . . . . . . .9.2% 8.2% 21.9% 38.3% 44.3% 19.2% 17.0% 14.0% 12.4% 14.4% 12.2% 10.3% 9.7%

. . . . . . . . . . 8.3% 6.4% 6.9% 7.9% 7.6% 5.8% 5.2% 5.1%

. . . . . . . . . . 3.5% 2.5% 2.4% 2.5% 1.5% 2.2% 1.9% 3.2%2.4% 2.2% 2.2% 2.6% 2.8% 3.4% 1.9% 2.3% 2.3% 1.9% 1.9% 1.7% 2.2%

. . . . 6.7% 8.5% 9.9% 9.0% 15.4% 16.8% 12.0% 12.4% . . . . . .

. . . . . . . . . . 10.4% 7.9% 10.7% 8.4% . . 10.0% . . . .6.2% 6.5% 5.5% 5.4% 5.7% 7.1% 7.1% 7.1% 7.4% 7.4% 7.8% 6.9% 8.2%

10.3% 7.5% 7.5% 8.1% 8.9% 8.6% 6.8% 6.2% 5.9% 5.6% 5.1% 4.8% 4.9%. . . . . . . . . . . . . . . . 3.8% 4.6% 10.4% 4.9% 2.4%

4.8% 6.9% 8.4% 6.7% 6.7% 6.6% 7.8% 8.7% 6.9% 5.0% 5.0% 4.6% 6.0%

. . . . . . . . . . . . . . 2.3% 1.9% 3.0% 4.8% 2.9% 2.7%

. . . . . . . . . . 7.6% 7.1% 6.4% 6.8% 6.5% 6.4% 6.3% 6.3%

. . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . 0.9% 0.8% 0.8% 0.8% 0.7% 0.7% 0.7% 0.7%5.8% 6.0% 5.2% 5.9% 5.8% 5.4% 4.3% 4.8% 4.9% 5.5% 4.1% 3.0% 3.0%6.2% 5.7% 7.1% 6.7% 9.6% 7.5% 9.6% 8.8% 8.5% 9.1% 9.8% 9.7% 10.6%6.2% 6.6% 5.8% 6.1% 6.2% 6.6% 7.4% 5.2% 5.2% 5.3% 4.8% . . . .

. . . . . . . . . . 2.2% 2.5% 4.9% 2.5% 2.7% 2.6% 2.3% 2.3%21.3% 23.7% 21.2% 23.1% 21.3% 18.2% 16.0% 14.9% 11.5% 9.2% 7.5% 8.1% 6.4%

. . . . . . . . . . 7.4% 6.7% 6.9% 6.5% 5.9% 6.1% 6.0% 6.2%4.3% 3.5% 3.7% 2.9% 3.2% 3.0% 3.8% 3.0% 3.9% 4.8% 4.1% 3.2% 3.5%

. . . . . . . . . . 15.4% 14.4% 10.8% 10.9% 8.7% 7.9% 8.9% 10.4%

. . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . 5.8% 6.1% 6.4% 5.8% 5.4% 5.6% 4.8% 4.4%xxx xxx xxx xxx xxx xxx xxx xxx xxx . . . . . . . .22.6% 13.6% 12.9% 30.5% 47.8% 43.2% 25.0% 25.3% 14.9% 28.2% 16.8% 18.0% . .

7.6% 6.8% 6.4% 7.1% 6.0% 5.8% 4.9% 5.1% 6.0% 5.1% 7.0% 6.4% 6.1%10.2% 9.6% 11.8% 10.6% 8.9% 9.6% 10.7% 7.2% 6.0% 5.0% 4.8% 4.7% 4.5%10.8% . . . . . . . . . . . . . . 11.4% 9.9% 8.2% . . . .

. . . . 13.1% 18.1% 14.9% 12.0% 10.9% 10.5% 11.7% 12.5% 12.2% 11.5% 11.6%

. . . . . . . . . . . . . . . . . . 6.8% 7.5% 8.2% 8.3%

. . . . . . . . . . . . . . . . . . . . 9.1% 23.2% . .

. . 4.8% 5.6% . . 3.5% 2.6% 2.5% 2.6% 2.8% 3.0% 3.5% 3.5% 3.8%

. . . . . . . . . . 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

. . . . . . . . . . . . . . . .

. . . . 5.6% 5.9% 5.8% 7.1% 7.7% 6.7% 4.0% 4.0% 5.1% 4.2% 3.9%

9.8% 8.1% 9.3% 8.0% 7.7% 7.0% 7.5% 7.9% 5.8% 5.6% 5.3% 5.2% 5.5%

. . . . . . . . . . 6.4% 7.2% 5.5% 5.4% 3.6% 2.8% 2.9% 2.8%

. . . . 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

. . . . . . . . . . 3.1% 3.1% 2.8% 3.5% 2.5% 2.6% 2.7% 3.0%

2.4% 2.2% 2.4% 1.8% 1.8% 1.8% 1.8% 2.0% 1.8% 1.7% 1.8% 2.0% 2.1%

2.2% 2.2% 2.1% 2.2% 2.2% 2.3% 2.3% 2.1% 2.0% 2.0% 1.9% 1.9% 2.0%

. . . . . . . . . . 2.4% 2.2% 2.9% 2.8% 2.4% 2.3% 2.6% 2.6%8.4% 5.4% 5.0% 3.8% 3.8% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

. . . . . . . . . . 0.6% 0.7% 0.9% 2.7% 2.8% 2.7% 2.1% 2.3%

2.8% 2.7% 2.6% 2.6% 2.7% 2.6% 2.6% 2.6% 2.6% 2.7% 2.7% 2.7% 2.9%. . . . . . . . . . . . 8.9% 9.6% 10.5% 11.2% 11.3% 11.2% 11.0%

5.8% 4.9% 4.5% 4.4% 4.3% 4.1% 4.0% 2.8% 3.5% 3.0% 3.0% 2.8% 2.6%

8.2% 7.7% 8.1% 9.0% 7.3% 7.1% 7.1% 6.1% 6.7% 6.0% 5.4% 5.3% 5.2%

. . 4.3% 4.1% 4.1% 4.2% 5.0% 5.5% 4.9% 3.9% 4.1% 4.1% 4.0% 3.9%

12.6% 11.7% 12.0% 11.7% 11.4% 11.7% 11.4% 10.9% 10.7% 12.1% 12.1% 12.9% 11.8%

10.7% 14.8% 9.0% 10.9% 11.1% 11.5% 12.1% 12.2% 12.4% 13.1% 13.0% 11.6% 11.7%

9.9% 8.1% 8.9% 9.8% 6.5% 6.3% 7.8% 8.3% 11.2% 9.5% 10.7% 9.6% 10.4%

. . . . . . . . . . 3.7% 4.0% 4.6% 4.4% 5.6% 3.8% 3.5% 4.4%

9.5% 8.4% 9.0% 8.4% 6.8% 7.7% 6.8% 6.0% 5.8% 6.5% 5.5% 5.8% 5.8%

. . . . . . . . . . 8.3% 8.5% 7.9% 7.6% 7.1% 7.6% 7.3% 6.4%

. . . . . . . . 8.1% 8.5% 8.2% 8.4% 7.6% 7.1% 7.3% 7.1% 6.4%

4.7% 3.7% 5.8% 5.5% 5.5% 5.4% 4.9% 3.7% 3.7% 4.0% 4.2% 4.2% 3.6%

. . . . . . . . . . . . . . 4.9% 4.8% 4.5% 4.7% 4.9% 5.5%

. . . . . . . . . . 9.9% 8.7% 9.5% 10.4% 10.1% 10.8% 10.9% 9.9%

. . . . . . 10.2% 7.9% 6.2% 6.4% 11.0% 11.7% 10.7% . . . . . .

. . . . 15.8% 12.8% 14.9% . . . . . . . . . . . . . . . .

2.9% 2.5% 3.5% . . 3.9% 2.9% 2.3% 1.6% 1.6% . . . . . . . .

9.1% 12.4% 13.4% 12.1% 10.1% 9.8% 9.9% 8.4% 13.6% 6.3% 8.8% 8.4% 8.2%

. . 20.7% 24.2% 19.9% 18.2% 14.6% 11.7% 9.4% 9.2% 9.2% 9.3% 10.1% 7.6%

15.4% 15.7% 14.4% 13.9% 12.6% 11.3% 11.8% 11.7% 11.5% 11.5% 11.1% 11.2% 11.1%8.8% 9.5% 8.8% 5.5% 4.3% 3.2% 2.7% 3.8% 4.6% 4.9% 4.0% 3.6% 3.8%

2.7% 2.6% 2.7% 2.7% 2.7% 2.6% 2.7% 2.7% 2.8% 2.9% 2.9% 2.8% 2.9%

. . . .

20.3% 18.5% 18.2% 16.4% 14.5% 14.4% 13.5% 13.7% 12.2% 11.7% 12.6% 12.3% 12.1%

. . . . . . . . . . 4.0% 3.4% 3.7% 2.9% 3.4% 2.6% 2.4% 2.1%10.4% 9.3% 8.6% 6.4% 7.8% 5.9% 6.8% 7.5% 8.6% 8.0% 8.5% 7.5% 7.6%

5.5% 5.6% 5.1% 4.9% 5.1% 6.2% 5.2% 5.1% 4.5% 4.4% 4.7% 4.4% 3.8%

. . . . . . 9.7% 9.2% 10.7% 9.6% 8.9% 13.9% 11.8% 9.6% . . . .

10.5% 10.1% 8.3% 8.1% 7.5% 7.5% 6.8% 6.9% 7.3% 6.8% 6.8% 6.9% 7.1%

21.0% 16.3% 18.0% 19.6% 22.1% 22.9% 22.2% 28.2% 34.9% 33.1% 35.2% 30.0% 30.3%

15.5% 15.0% 13.7% 11.6% 13.9% 8.3% 11.1% 11.2% 10.7% 10.7% 10.3% 10.3% 10.7%

13.9% 13.1% 8.9% 7.0% 6.2% 8.1% 7.3% 5.8% 6.6% 6.0% 5.8% 7.4% 8.0%

xxx xxx xxx xxx xxx xxx xxx . . . . 9.4% 10.4% 21.2% 4.6%. . . . . . . . . . . . . . . . 7.6% 7.5% 6.8% 7.4% 8.2%

. . . . . . . . . . . . . . . . 23.6% 16.0% 12.7% 10.5% 12.9%

9.8% 11.1% 11.1% 11.2% 12.8% 10.8% 9.1% 8.8% 9.0% 9.1% 8.5% 9.2% 9.4%

11.3% 11.0% 11.6% 11.5% 12.8% 12.0% 11.2% 10.4% 9.6% 11.0% 10.7% 9.7% 9.0%

. . . . . . . . . . 7.2% 9.0% 10.9% 12.3% 15.2% 14.5% 13.4% 10.5%

29.1% 25.3% 25.9% 24.1% 24.5% 22.9% 25.8% 23.3% 27.0% 27.4% 26.2% 21.8% 19.1%

19.2% 19.4% 17.5% 17.6% 16.0% 18.8% 15.6% 13.6% 12.5% 13.1% 11.1% 11.5% 13.9%

6.2% 5.9% 5.9% 5.7% 5.4% 5.3% 5.6% 5.4% 5.5% 5.4% 5.4% 5.5% 5.4%

6.7% 5.2% 4.5% 4.4% 4.6% 6.7% 6.5% 5.4% 5.3% 6.1% 5.3% 6.0% 8.1%

5.2% 4.9% 4.9% 4.8% 4.7% 4.7% 4.4% 4.3% 4.3% 3.7% 3.9% 4.2% 3.7%

4.4% 5.7% 5.1% 4.3% 3.1% 3.0% 2.5% 1.8% 1.8% 1.9% 1.9% 1.8% 2.2%

. . . . 4.4% 3.6% 3.6% 3.8% 4.1% 4.3% 4.7% 4.7% 4.7% 5.4% 6.2%

. . . . . . . . . . . . . . . . . . . . 14.4% 14.7% 13.6%

1.8% 1.8% 2.0% 1.9% 1.9% 1.9% 1.8% 1.8% 1.8% 1.7% 1.8% 1.7% 1.9%

. . . . . . . . . . 10.9% 12.4% 8.1% 8.5% 10.2% 10.1% 12.7% 11.0%

### ### ### 13.7% 13.9% 12.8% 3.2% 3.1% 3.0% 3.1% 3.3% 3.6% 3.4%

3.0% 2.9% 2.9% 2.8% 2.8% 2.8% 2.7% 2.5% 2.4% 2.4% 2.2% 2.2% 2.3%

. . . . . . . . . . . . . . 7.6% 5.0% 4.3% 3.5% 3.1% 2.7%

. . . . . . . . . . 7.1% 7.8% 7.9% 7.5% 7.2% 6.9% 6.7% 7.0%

. . . . . . . . . . . . . . 6.4% 4.7% 4.2% 4.3% 4.2% 4.0%

9.7% 13.5% 16.5% 13.7% 8.0% 8.1% 8.8% 5.7% 4.9% 5.1% 5.1% 4.9% 4.5%

3.5% 4.2% 3.9% 4.3% 4.6% 4.7% 4.2% 4.2% 4.0% 4.1% 4.4% 3.9% 3.7%xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx

2.9% 2.8% 2.9% 2.9% 2.9% 2.8% 2.9% 2.8% 2.7% 2.7% 2.5% 2.7% 2.6%

2.4% 2.3% 2.9% 2.7% 3.2% 3.8% 4.3% 4.7% 5.0% 5.0% 5.7% 5.6% 6.0%

2.4% 2.6% 2.8% 2.9% 2.4% 2.6% 2.5% 2.4% 2.7% 2.8% 2.8% 2.8% 2.6%

5.5% 5.3% 5.2% 5.1% 5.0% 4.8% 4.7% 4.6% 4.7% 4.8% 4.5% 4.5% 4.4%

. . . . . . . . . . 3.5% 4.3% 6.1% 6.5% 7.1% 15.0% 22.4% 32.2%xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx

3.0% 3.3% 3.2% 3.2% 3.2% 3.3% 3.1% 3.0% 3.0% 3.0% 2.9% 2.9% 2.9%

6.9% 7.5% 7.5% 8.0% 8.0% 7.7% 7.4% 7.1% 5.8% 6.0% 6.6% 6.4% 5.9%

3.3% 3.1% 3.5% 3.1% 3.6% 3.5% 3.8% 3.2% 3.4% 3.1% 2.9% 2.4% 2.6%

. . . . . . . . . . . . . . . . . . . . . . . . . .

2.6% 2.6% 2.4% 2.4% 2.3% 2.3% 2.2% 2.0% 1.8% 1.8% 1.7% 1.6% 1.4%

3.1% 3.4% 3.6% 3.7% 3.8% 4.1% 3.9% 4.0% 3.9% 3.9% 3.7% 3.4% 3.3%. . . . . . 1.6% 1.9% 2.4% 3.0% 4.5% 4.9% 4.8% 4.7% 5.1% 4.7%

1.4% 1.6% 2.3% 3.3% 2.5% 3.4% 3.9% 3.8% 3.5% 3.6% 3.5% 3.5% 3.2%1.7% 1.7% 1.8% 1.8% 1.7% 1.7% 2.1% 1.6% 1.6% 1.6% 1.6% 1.5% 1.5%

. . . . 6.5% 6.4% 5.2% 5.8% 16.3% 6.9% 6.5% 7.0% 6.2% 5.8% 6.2%

. . . . . . . . . . 1.6% 1.6% 1.6% 1.4% 1.6% 2.0% 1.6% 1.5%

2.1% 2.2% 2.0% 1.6% 1.5% 1.1% 1.4% 1.4% 1.2% 1.0% 1.1% 1.2% 1.2%

xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx 5.5% 4.1%

3.4% 3.8% 3.7% 3.6% 3.7% 3.5% 3.4% 3.3% 3.3% 3.3% 3.3% 3.3% 3.2%

4.6% 4.6% 4.4% 4.5% 4.3% 4.1% 3.9% 4.5% 4.2% 4.2% 3.9% 3.7% 3.7%

4.1% 3.9% 4.4% 4.6% 4.5% 4.5% 4.4% 4.3% 4.3% 4.4% 4.5% 4.4% 4.8%

5.5% 5.1% 5.0% 4.6% 4.6% 4.5% 4.5% 4.6% 4.3% 4.4% 4.5% 4.5% 4.2%

. . . . . . . . . . 7.2% 7.4% 7.1% 6.8% 6.1% 6.2% 5.4% 4.3%

. . . . . . 6.9% 9.0% 10.8% 11.3% 11.1% 11.3% 11.2% 10.9% 11.2% 10.1%

. . . . . . . . . . 16.4% 11.9% 9.8% 8.2% 7.3% 6.0% 5.3% 5.6%

. . . . 4.8% 3.9% 3.3% 3.2% 4.2% 4.0% 4.7% 4.5% 4.5% 4.5% 4.4%

4.0% 4.0% 3.6% 3.4% 3.0% 2.7% 3.1% 3.4% 3.4% 3.4% 3.4% 3.7% 3.6%

3.3% 3.2% 3.2% 3.0% 3.1% 3.1% 3.0% 3.0% 2.9% 2.8% 2.7% 3.0% 3.0%

3.5% 3.6% 3.4% 3.4% 3.4% 3.5% 3.3% 3.1% 3.0% 2.8% 2.8% 2.7% 2.7%

4.0% 3.7% 3.5% 3.4% 3.2% 3.2% 3.0% 2.8% 2.6% 2.6% 2.5% 2.4% 2.3%6.9% 7.1% 6.8% 6.8% 6.6% 7.0% 6.5% 6.6% 6.6% 6.2% 6.0% 5.8% 5.9%

. . . . 9.8% 8.7% 11.2% 9.9% 7.8% 7.3% 7.3% 6.3% 6.3% 6.2% 6.5%

xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx

17.1% 19.3% 13.6% 17.6% 17.0% 17.2% 14.6% 14.5% 15.9% 15.5% 12.9% 12.9% 12.7%. . . . . . . . . . . . . . 9.6% 9.9% 9.0% 8.9% 7.7% 7.4%

9.2% 11.5% 12.6% 13.4% 13.2% 14.8% 15.2% 11.4% 13.0% 16.6% 14.4% 15.1% 14.1%

. . . . . . . . . . . . . . . . . . 1.8% 3.5% 3.8% 4.7%

. . . . . . . . . . 14.8% 14.5% 16.0% 16.8% 17.2% 16.4% 16.6% 15.6%

12.3% 16.3% 17.7% 17.5% 18.6% 18.5% 17.7% 16.2% 16.3% 13.6% 12.3% 12.8% 16.3%

26.3% 18.5% 17.7% 16.5% 17.3% 16.7% 17.1% 18.2% 18.0% 17.3% 15.4% 11.2% 12.3%

21.9% 13.2% 10.8% 11.7% 13.6% 12.8% 14.2% 13.1% 13.0% 13.5% 14.2% 12.7% 13.2%

33.3% 32.7% 33.9% 30.3% 29.3% 30.3% 32.8% 31.6% 31.3% 30.8% 33.6% 31.5% 29.1%

. . . . . . . . . . . . . . 12.1% 11.3% 7.8% 6.4% 5.8% 6.6%

. . . . . . . . 34.7% 29.8% 29.0% 25.2% 24.3% 23.1% 25.3% 26.8% 27.0%

23.4% 21.8% 20.3% 20.1% 20.7% 19.0% 18.9% 17.4% 19.1% 17.7% 17.8% 16.5% 15.9%. . . . . . . . . . . . . . 9.0% 8.2% 7.8% 7.5% 7.4% 6.9%

. . . . . . . . 21.3% 26.3% 23.3% 23.1% 23.4% 25.8% 24.4% 22.2% 21.3%26.3% 17.2% 17.0% 17.7% 18.3% 15.5% 18.0% 22.5% 19.4% 15.5% 13.2% 11.5% 12.0%

xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxxxxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx xxx

‖ This country changed or redenominated its currency during the period; all current price local currency figures have been converted to the latest currency.between two parts of a series for a country indicate a series break, where data before the red lines may not be consistent with data after.

Data for general government expenditure are from the IMF World Economic Outlook, and include spending by all levels of govt.: central/federal, state/provincial/regional, municipal and local government, etc.

2008 2009 2010 2011 2012 2013 2014

8.0% 9.1% 9.5% 10.8% 10.2% 13.6% 13.5%3.1% . . . . . . 8.2% . . 8.1%

10.4% 10.8% 10.9% 9.8% 9.8% 11.6% 11.2%

4.2% 4.2% 4.2% 4.5% 4.2% 4.4% 5.3%

6.8% 10.5% 10.6% 8.7% 8.7% 12.0% 12.5%

4.6% . . . . . . 4.9% 4.6% 4.7%6.7% 6.0% 6.2% 6.7% 6.2% 5.6% 5.7%

7.0% 6.3% 6.1% 5.9% 5.1% 4.8% 4.6%6.6% . . . . . . 6.7% 7.1% 6.7%7.8% 8.4% 8.5% 6.4% 6.9% 6.1% 5.5%1.6% 1.5% 1.3% 1.4% 1.4% 1.5% 1.6%9.8% 11.2% 14.0% . . . . . . . .

31.3% 33.0% 23.7% 22.4% . . . . . .7.4% . . 8.5% . . . . 7.1% 12.3%5.7% 4.1% 5.1% 5.2% 7.5% 7.5% 7.0%

7.5% 8.7% 7.8% 7.6% 6.8% . . . .

9.1% . . . . . . . . . . . .7.5% 6.2% . . . . . . . . 2.8%

. . . . . . . . . . . . . .8.5% 6.9% 6.7% 6.9% 5.2% 4.9% 4.4%

. . . . 3.8% . . 5.1% 5.1% . .9.5% 3.4% . . . . 4.1% 4.3% 5.9%1.6% 1.9% 1.5% 2.4% 2.6% 2.0% 1.8%

. . . . . . . . 11.4% 12.3% 12.6%

. . 8.0% 10.8% 9.1% 12.2% . . . .7.3% 7.3% 6.6% 7.3% 7.5% 5.9% 5.1%2.6% 4.7% 5.7% 3.3% 3.7% 3.4% 3.5%1.2% 1.9% 2.0% 3.0% 3.0% 2.3% 2.4%6.1% 5.9% 4.6% 5.2% 5.2% 4.3% 3.9%

3.1% 3.6% 2.5% 2.9% 3.4% 5.1% 3.0%7.7% 6.2% 6.8% 6.1% 7.7% 5.9% 5.4%

11.2% 12.4% . . . . 9.8% 9.9% 9.5%0.8% 0.3% 0.6% 0.6% 0.6% 0.8% 1.0%3.0% 2.7% 3.3% 2.8% 3.0% 2.9% 2.5%

12.1% 10.8% 11.0% 9.5% 9.1% 8.7% 11.8%4.4% 4.1% 5.7% 6.7% 4.5% . . . .3.0% 3.3% 3.2% 3.4% 3.6% 3.5% 3.3%5.8% 8.9% 5.1% 4.6% 4.5% 4.1% 4.1%6.2% 6.3% 5.6% 5.6% 4.8% 5.7% 5.4%4.3% 3.2% 2.1% 2.4% 2.4% 2.6% 3.3%

Front page

5.8% 6.2% 4.8% 4.0% 3.6% 3.9% 4.0%. . . . . . . . . .

4.1% 3.9% 3.5% 3.7% 3.7% 3.6% 3.5%. . . . . . 43.2% 25.5% 27.9% 20.8%. . . . . . . . . . . . . .

6.4% 6.5% 7.8% 8.8% 7.0% 6.6% 5.9%4.1% 4.4% 5.2% 5.0% 5.2% 4.7% 5.4%

10.1% . . 7.9% 6.6% . . . . . .

12.2% 10.1% 25.0% 10.9% 7.6% 7.8% 6.4%

8.0% 8.1% 7.7% 6.7% 6.2% 5.6% 6.8%

. . . . 4.6% 6.5% 8.9% 8.9% 8.7%

5.3% 4.2% 3.6% 3.6% 3.5% 3.5% 3.5%0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

. .

3.8% 4.1% 4.2% 3.8% 3.0% 3.3% 3.6%

5.1% 4.9% 4.9% 5.1% 5.3% 5.0% 4.6%

3.1% 2.8% 2.8% 2.9% 3.2% 3.4% 3.3%0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

3.4% 3.7% 4.0% 4.4% 3.8% 4.1% 4.2%

3.0% 2.3% 2.6% 3.0% 3.1% 3.3% 3.0%

1.8% 2.0% 2.1% 2.1% 2.2% 2.3% 2.5%

2.4% 2.3% 2.3% 2.4% 2.9% 3.3% 3.0%0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

1.7% 1.7% 1.9% 1.9% 2.7% 2.2% 2.5%

3.0% 2.9% 2.4% 2.6% 2.5% 2.2% 2.3%11.3% 11.1% 11.6% 11.7% 11.2% 10.4% 9.5%

2.5% 2.5% 2.4% 2.2% 2.2% 2.3% 2.0%

5.6% 5.6% 5.3% 4.1% 4.1% 3.8% 3.7%

3.9% 4.2% 4.0% 3.8% 3.7% 3.6% 3.4%

11.7% 8.9% 9.1% 9.3% 8.7% 8.2% 8.2%

13.9% 13.1% 12.4% 10.7% 11.2% 11.8% 11.4%

7.6% 9.5% 8.7% 7.9% 6.7% 6.3% 6.3%

5.1% 4.7% 4.4% 4.1% 3.8% 3.8% 3.7%

5.9% 5.4% 5.7% 5.8% 5.6% 6.0% 6.5%

5.8% 6.6% 6.3% 5.9% 6.1% 6.8% 6.3%

6.8% 6.9% 6.4% 6.0% 5.8% 5.8% 5.0%

3.9% 3.7% 2.7% 1.9% 3.3% 3.8% 2.5%

4.3% 4.7% 4.5% 4.4% 4.8% 5.4% 4.7%

10.0% 9.5% 10.6% 9.3% 8.1% 8.6% 9.9%

3.8% 3.3% 3.6% 4.0% 4.1% . . 4.2%

. . . . . . . . . . . . . .

. . . . . . . . . . . . . .

8.5% 8.4% 8.0% 7.5% 7.0% 6.8% 9.3%

7.6% 11.3% 8.0% 8.1% 7.5% 7.8% 8.0%

8.9% 8.6% 7.9% 7.4% 7.2% 7.0% 7.3%

3.0% 3.4% 3.7% 3.7% 4.5% 4.8% 4.1%

2.7% 2.6% 2.5% 2.5% 2.5% 2.5% 2.5%

12.5% 12.7% 12.9% 12.9% 12.6% 12.4% 12.1%

1.5% 1.2% 1.1% 1.1% 1.0% . . . .

6.8% 6.1% 5.6% 5.9% 5.2% 5.4% 5.4%

3.2% 2.3% 2.4% 2.2% 2.3% . . . .

. . . . . . 18.0% 17.6% 15.5% 13.0%

7.0% 6.3% 6.4% 6.7% 6.1% 6.7% 6.0%

22.8% 21.0% 23.0% 21.8% 21.8% 19.4% 18.3%

11.0% 10.5% 10.3% 10.4% 10.7% 10.7% 10.6%

8.7% 7.3% 7.3% 6.7% 6.7% 6.4% 6.6%

4.2% 6.0% 3.5% 1.9% 2.8% 2.5% 2.3%

8.0% 7.2% 7.7% 7.4% 7.3% 7.6% 8.3%

11.2% 9.9% 9.5% 8.4% 4.4% 4.4% 4.6%

7.2% 9.8% 10.8% 9.8% 9.1% 8.4% 9.0%

9.1% 10.9% 10.1% 9.9% 9.5% 9.3% 9.1%

11.7% 9.3% 8.7% 8.9% 7.2% 10.5% 8.0%

17.2% 18.5% 18.2% 18.3% 17.2% 16.8% 18.2%

16.5% 14.6% 13.5% 13.9% 12.5% 15.0% 13.5%

5.4% 5.3% 5.0% 5.0% 4.4% 4.7% 4.8%

6.0% 6.1% 5.8% 5.7% 5.3% 5.0% 3.8%

3.8% 3.9% 3.4% 3.2% 3.3% 3.5% 3.8%

1.6% 1.7% 1.7% 1.7% 2.2% 1.5% 1.7%

6.3% 6.1% 5.3% 5.3% 5.3% 4.8% 3.1%

15.3% 14.6% 16.3% 15.5% 16.0% 16.8% 16.7%

1.8% 1.7% 1.6% 1.6% 1.6% 1.5% 1.4%

11.2% 9.8% 8.8% 14.0% 12.9% 12.3% 11.7%

3.0% 3.0% 3.3% 3.7% 3.1% 3.1% 2.7%

2.5% 2.2% 2.1% 2.0% 1.9% 1.9% 1.9%

2.5% 2.8% 2.6% 2.4% 2.4% 2.3% 2.2%

5.7% 5.5% 5.1% 4.5% 4.6% 4.5% 4.0%

4.6% 4.3% 4.0% 4.3% 4.1% 3.8% 3.5%

4.3% 4.3% 4.5% 4.2% 4.0% 4.2% 4.3%

3.1% 3.1% 2.9% 2.6% 2.5% 2.5% 2.5%xxx xxx xxx xxx xxx xxx xxx

2.7% 2.4% 2.5% 2.4% 2.4% 2.2% 2.4%

5.4% 5.0% 4.3% 4.6% 4.9% 5.1% 5.1%

2.7% 2.7% 2.6% 2.6% 2.6% 2.5% 2.4%

4.3% 4.4% 4.1% 4.0% 3.9% 3.9% 3.8%

26.1% 15.6% 11.8% 11.2% 10.6% 8.8% 7.8%xxx xxx xxx xxx xxx xxx xxx

3.0% 3.0% 2.9% 2.9% 3.0% 2.9% 2.8%

6.1% 6.1% 5.4% 4.7% 4.7% 5.3% 4.7%

2.5% 2.3% 2.1% 2.1% 2.2% 1.9% 1.7%

. . 0.4% 0.3% 0.3% 0.3% . . . .

1.4% 1.3% 0.9% 1.2% 1.3% 1.3% 1.3%

3.4% 3.3% 3.2% 3.2% 3.1% 3.0% 2.7%

4.0% 3.2% 2.5% 2.7% 2.4% 2.5% 2.6%

3.1% 2.5% 2.1% 2.1% 2.2% 2.3% 2.3%

1.4% 1.2% 1.5% 1.2% 1.1% 1.1% 1.1%

5.2% 5.0% 4.3% 4.0% 3.7% 3.7% 3.6%

1.5% 1.7% 1.7% 1.5% 1.3% 1.3% 1.4%

1.5% 1.0% 0.8% 0.8% 0.8% 0.9% 0.9%

3.6% 3.9% 4.0% 4.0% 3.6% 3.4% 3.9%

3.1% 3.0% 2.8% 2.8% 2.7% 2.6% 2.5%

3.5% 3.6% 3.4% 3.4% 3.3% 3.2% 3.1%

4.1% 4.1% 4.1% 4.2% 4.3% 4.3% 4.7%

4.3% 4.2% 4.0% 4.2% 4.1% 4.5% 3.9%

4.0% 3.5% 3.3% 3.5% 3.9% 3.9% 3.7%

9.9% 10.2% 10.1% 10.3% 10.8% 11.1% 11.7%

5.2% 5.3% 5.1% 5.0% 4.5% 4.7% 4.6%

4.3% 3.7% 3.2% 2.8% 2.9% 2.6% 2.6%

3.7% 3.5% 3.5% 2.8% 2.6% 1.9% 2.1%

2.8% 2.5% 2.3% 2.1% 2.2% 2.1% 2.1%

2.4% 2.3% 2.4% 2.3% 2.3% 2.2% 2.3%

2.5% 2.4% 2.3% 2.3% 2.2% 2.4% 2.4%5.9% 5.6% 5.5% 5.5% 5.3% 5.1% 5.1%

5.6% 6.1% 5.6% 4.9% 4.8% 5.0% 6.5%

xxx xxx xxx xxx xxx xxx xxx

11.9% 14.1% 11.5% 13.0% 13.0% 14.4% 13.3%

6.7% 6.3% 6.6% 6.0% 5.6% 4.8% 5.1%

13.3% 15.9% 15.5% 13.0% 14.9% . . . .

3.8% 4.5% 5.2% 7.3% 6.5% 7.0% 9.1%

15.4% 15.9% 15.0% 14.3% 13.8% 14.4% 13.0%

17.8% 16.9% 17.0% 14.5% 12.8% 10.0% 9.0%

7.4% 9.5% 8.4% 9.4% 9.0% 7.9% . .

11.7% 12.6% 14.0% 14.1% 13.2% 13.2% 14.0%

25.8% 24.3% 24.6% 24.9% 36.5% 34.8% 25.5%

8.4% 5.8% 4.8% . . . . . . . .

25.4% 24.0% 23.6% 20.4% 21.7% 23.7% 25.9%

15.5% 15.0% 13.6% . . . . . . . .6.7% 6.8% 6.6% 6.3% 6.2% 5.9% 5.8%

21.0% 19.8% 24.2% 23.6% 22.8% 24.4% 23.9%

10.8% 16.0% 15.5% 16.5% 12.6% 13.2% 12.9%xxx xxx xxx xxx xxx xxxxxx xxx xxx xxx xxx xxx

Footnotes from the SIPRI Yearbook 2014, written primarily for the data covered in it (2004-2013). As the data is comparable over time the footnotes should, by implication, also be valid for the data for 1988-2003.

The following special notes are used in each worksheet† Figures for these countries do not include military pensions‡ Figures for these countries are for current spending only (i.e. exclude capital spending)§ Figures for these countries are for the adopted budget, rather than actual expenditure¶ Figures for these countries do not include spending on paramilitary forces‖ This country changed or redenominated its currency during the period; all current price local currency figures have been converted to the latest currency.

Numbered footnote references can be found in each of the data sheets

1

2

3

4

5

6

7Investment expenditure for CAR for 2005 amounted to 775 000 CFA. francs.

8

9 Figures for Côte d'Ivore are for the adopted budget up to 2003.10 Figures for Eritrea in 1995 include expenditure for demobilization.

11

The figures for Algeria are budget figures from 2004. In July 2006 the Algerian government issued supplementary budgets increasing the total expenditure by 35 per cent. It is not clear if any of these extra funds were allocated to the military.

The figures for Libya do not include spending on paramilitary forces. The figures for Libya up to 2008 do not include development expenditure, which in 2008 amounted to 1,000 million dinar. The figures from 1959-1982 are not necessarily compatible with those from 1997-2008. The figures from 1997-2008 are not necessarily comparable to those for 2012-2014.

Morocco changed their financial year in 2000. Previously it had operated a July-June financial year, which changed to January-December from 2001. The local currency figure shown for 2000 is the sum of the figure for FY 1999-2000 (5,754m Dirhams) and the figure for a special 6-month financial year from July-December 2000 (8,210m Dirhams).

It should be noted that the rate of the implementation of the Angolan budget could vary considerably. Military expenditure for Angola should be seen in the context of highly uncertain economic statistics due to the impact of war on the Angolan economy.

The figures for Burkina Faso up to 2009 have been substantially revised compared to earlier editions of the SIPRI military expenditure database

Military investment expenditure in Burundi amounted to 4500 million, 7152 million, and 21438 million CFA Francs in 2012, 2013 and 2014 respectively.

The figures for the Democratic Republic of the Congo in constant US dollars have been substantially revised compared to previous editions of the Yearbook/database, due to a reassessment of the available sources for CPI inflation data, which are used to convert the local currency figures into constant prices. The figures for the Democratic Republic of Congo do not include profits from extensive military-run mining operations.

The figure for Ethiopia in 1999 includes an allocation of 1 billion birr in addition to the original defence budget.

12

13

14

15

16

17

18

19 Figures for Mauritania are for operating expenditures only.

20

21

22

23

24

The figures for Gabon exclude off budget spending financed by the Provisions pour Investissements Hydrocarbures (PIH), an investment fund based on tax revenues from foreign oil companies active in Gabon (see International Monetary Fund (IMF), Gabon: Request for Stan-by Arrangement-Staff Report; Staff Statement; Press Relase on the Executive Board Discussion; and Statement by the Executive director for Gabon, Country Report no. 07/174 (IMF: Washington, DC, May 2007), p. 13.

The figures for Gambia from before 2008 are based on a different source and budgetary classification system, and therefore may not be compatible with the figures from 2008 onwards. The very large apparent increase in Gambia's military spending in 2008 compared with 2007 should therefore be treated with caution.The figures for Ghana in 2001 and from 2006 are for the adopted budget rather than actual spendingThe figures for Guinea might be an underestimate as the IMF reports large extra-budgetary spending for the military.

An armed conflict broke out in Guinea Bissau in 1998, which led to a substantial increase in defence expenditure, especially in 2000/01. According to the IMF, the increase was financed by a credit from the banking system, and by promissory notes. Due to the conflict, no data data is available for 1999 and the consistency before and after this year is uncertain.

The figures for Liberia are reported in US dollars. While the Liberian dollar still exists as a national currency, the Liberian economy is heavily dollarized, and in particular the Liberian national budget is only reported in US dollars. All figures for Liberia have thus been converted into US dollars.Figures for Madagascar include expenditure for the gendarmerie and the National Police.

Figures for Mozambique include expenditure for the demobilization of government and RENAMO soldiers and the formation of a new unified army from 1994 onwards.

The figures for Namibia for 1999 refer to the budget of the Ministry of Defence only. In addition to this the 1999 budget of the Ministry of Finance includes a contingency provision of N$104 million for the Namibian military presence in the Democratic Republic of the Congo (DRC). The figures for 2002 include a supplementary allocation of N$78.5 million.Figures for Nigeria before 1999 are understated because of the use by the military of a favourable specific dollar exchange rate.

The figures for Rwanda for 1998 are from the official defence budget. According to the IMF there are additional sources of funding for military activities, both within the budget and extra-budgetary. The figures for 2005 and 2006 include allocations for the African Union (AU) peacekeeping missions. Rwanda switched from a January-December to a July-June Fiscal Year from July 2009, in accordance with the East Africa Community guidelines. A bridging 6-month mini-budget was enacted for the first half of 2009.Senegal's expenditure for paramilitary forces in 1998 amounted to 21 100 million CFA francs.

25

26

27

28 The figures for Sudan are for spending on defence and security.

29

30

31

32

33

34

35 The figures for Honduras do not include arms imports.

36

37

38

39 The figures for Bolivia include some expenditure for civil defence.

The figures for Sierra Leone in 1998 and 1999 are not available due to the coup d'etat and subsequent civil war. It is not clear whether the data before and after these years are based on the same definition.Somalia reports its national budget in US dollars, although the national currency, the shilling, is still in operation.

South Sudan became independent from Sudan on July 9th 2011. Under the terms of the Comprehensive Peace Agreement of 2005, southern Sudan was governed by the autonomous Government of Southern Sudan within the Sudanese state pending a referendum on final status in 2011. Figures for South Sudan prior to 2011 refer to the military spending of the Government of Southern Sudan on the Sudan Peoples Liberation Army (SPLA). South Sudan changed currency upon independence from the Sudanese Pound to a new currency, the South Sudanese Pound, at a rate of 1 for 1. Conversion to the new currency therefore does not affect the figures.

The figures for Swaziland for 2008 and 2010 are estimates based on the Defence, Public Order and Safety budget, and are subject to considerable uncertainty.

Zimbabwe abandoned the Zimbabwean dollar in April 2009 and now mainly uses the US dollar. All figures for Zimbabwe have been converted into US$ at the market exchange rate for the year in question. Constant price US$ figures before 2009 have been calculated using implicit dollar CPI figures provided by the IMF. The figure in 1999 includes a supplementary allocation of New Z$ 1.8 million (US$51.9 million).

Costa Rica has no armed forces. Expenditure for paramilitary forces, border guard, and maritime and air serveillance is less than 0.05% of GDP.

Figures for Cuba are for Defence & Internal Order. The figures shown in table 5A.3 are for current US$, converted at the official exchange rate for each year, instead of constant price (2011) US$, due to the lack of reliable inflation data for Cuba. Data for military expenditure as a share of GDP are not shown due to the lack of reliable GDP data for Cuba.The figures for El Salvador include military pensions from the Armed Forces Pensions Fund for 2002-2012. For 1988-2001, the figures include an estimate of $75m. as an average for pensions, as figures are not available. For 2013-2014, the figures include an estimate of $110.4m. for pensions, the same as the actual figure for 2012. The pensions figures may be slightly overestimated as they include financial investments by the Pensions Fund, which amounted to $17m. in 2010.The Haitian defence forces were disbanded in 1994 and replaced by the national police which also has coast guard functions.

The figures for Nicaragua includes military aid from USA and Taiwan for the years 2002 - 2009 of 12.5, 16.9, 13.6, 11.1, 7.3, 28.8, 12.2 and 11.6 million gold cordobas, respectively.

The Panamanian defence forces were disbanded in 1990 and replaced by the national guard, consisting of the national police and the air and maritime services.All figures for the USA are for financial year (1 Oct. of the previous year-30 Sep. of the stated year) rather than calendar year.

40

41

42

43

44

45

46

47

48

49

50

51

The figures for Chile are for the adopted budget. The figures for Chile include direct transfers from the state-owned copper company Corporacion Nacional del Cobre (CODELCO) for military purchases. Since 2004, the MOD has built up a surplus from unspent portions of these transferred funds, which in 2011 were placed in a Strategic Contingency Fund for future equipment spending. The SIPRI figures continue to count the transfers from CODELCO rather than actual spending.

The figures for Colombia in 2002 – 2007 include special allocations totaling 2.5 billion pesos from a war tax decree of 12 August 2002. Most of these allocations were spent between 2002-2004.

Ecuador changed its currency from the sucre to the US dollars on 13 March 2000, at a rate of one dollar to 25 000 sucres. The current price figures for each year represent the dollar value of military expenditure at the market exchange rate for that year.The figures for Guyana for 2000-2014 may not be directly comparable to those from 1988-1995.

The figures for Paraguay in 2003 are for the modified budget, rather than actual expenditure. The figures for Paraguay have been revised from the previous edition of the database so as to include spending or estimated spending on military pensions.

The figures for Peru before 1997 are based on data from the Peruvian Ministry of Defence and are suspected to come from different stages of the budget process. The figures for Peru from 2005 do not include the transfer of 20% of gas production revenues from state-owned company CAMISEA for the armed forces and national police.

The figures for Venezuela exclude an unknown amount of additional funding from the National Development Fund FONDEN, created in 2005 and funded by contributions from the Central Bank and the state oil company PDVSA. Figures for Venezuela for the years 1991-1997 and for the most recent year, are for the adopted budget rather than for the actual expenditure.The figures for Kyrgyzstan include spending on internal security, accounting for a substantial part of total military spending.The coverage of the series for Turkmenistan varies over time due to classification changes in the Turkmen system of public accounts.

The figures for Uzbekistan expressed in constant US dollars should be seen in the light of considerable difference beetwen the official and the unofficial exchange rates.

The local currency figure for Brunei Darussalam for 2003 is for a special 15-month FY from Jan. 2003 to Mar. 2004. FYs up to 2002 are Jan.–Dec, those from 2004 onwards are Apr.–Mar.

The figures for China are for estimated total military expenditure, including estimates for items not included in the official defence budget. On the estimates in local currency and as share of GDP for the period 1989-98, see Shaoguang Wang, The military expenditure of China, 1989 to 98, SIPRI Yearbook 1999: Armaments, Disarmament and International Security (Oxford University Press: Oxford, 1999), pp. 349. The estimates for the years 1999-2014 are based on: publicly-available figures for official military expenditure and for certain other items; estimates based on official data and Prof. Wang's methodology for others; for the most recent years, where no official data is available for certain items, estimates are based on either the percentage change in official military expenditure, recent trends in spending in the same category, and in the case of the commercial earnings of the Peoples Liberation Army (PLA), on the assumption of a gradual decrease.

52

53

54

55

56

57

58

59

60

61

The figures for Indonesia exclude substantial off-budget funds received by the armed forces from a variety of sources including revenues from military-owned foundations and co-operatives, and the leasing of land from the private sector. The size of these revenues are not known, but are thought to be small as a percentage of overall military spending.The figures for Japan include the budgeted amount for the Special Action Committee on Okinawa (SACO) and exclude military pensions.

The figures for North Korea are as reported by North Korean Authorities. They do not include investment in the arms industry and R&D in dual-use technology, or various social welfare services provided through the military sector. Due to lack of a credible exchange rate between the North Korean won and the US dollar no dollar estimates can be provided.

The figures for South Korea do not include spending on 3 "special funds" for relocation of military installations, relocations of US bases, and Welfare for Troops. These amounted to 449.3 billion, 1048.8, 1285.2, 916.7 and 943.6 billion Won in 2009-2013 respectively.

The figures for Myanmar (Burma) are not presented in US dollar terms owing to the extreme variation of in stated the exchange rate between the kyat and the US dollar. Stated exchange rates vary from 6.076 to 960 Kyat/US$ (2003). The figures for 2011-2014 are from the official state budget, and may not be directly comparable with earlier figures which are from secondary sources. The new 2011 constitution also allows the chief of staff of the armed forces to draw unlimited additional funds from a *special fund* without the consent of parliament. It is not known if this facility has been used so far.

The figures for the Philippines are slightly overstated as they include spending on Veterans Affairs. Up to 2010 these amounted to around 1b. pesos or less, but in 2011 and 2012 this increased to 13.9b. and 8.3b. pesos respectively.

The local currency figure for Timor-Leste for 2007 is for a special 6-month FY July-Dec. 2007. Previous FYs, up to 2006/2007, are July-June; FYs from 2008 are Jan.-Dec

The defence budget of Viet Nam has been declared to be a state secret according to media sources. The figures for Viet Nam for 2012-2014 are also from media sources, whose reliability cannot be easily assessed.

Afghanistan’s Fiscal Year runs from Mar. to Feb. The figures are for core budget expenditure on the Afghan National Army. Military aid from foreign donors—which in 2009 included $4 billion from the USA, 16 times Afghanistan’s domestic military expenditure—is not included. The figures for Afghanistan have been substantially revised downwards from the previous edition of the SIPRI Yearbook, which mistakenly included foreign military aid.

The figures for India include expenditure on the paramilitary forces of the Border Security Force, the Central Reserve Police Force, the Assam Rifles, the Indo-Tibetan Border Police and, from 2007 the Sashastra Seema Bal but do not include spending on military nuclear activities.

62

63

64

65

66 The figures for Albania prior to 2006 do not fully include pensions.

67

68

69

70

71

72

73

74

Defence spending in the Public Sector Development Plan amounted to 2.3, 5, 3.9, 1.4, 1.8 and 4.2 billion rupees in 2008-2013 respectively. The figures for Pakistan have been revised compared to previous versions of the SIPRI military expenditure database and yearbook to include spending on paramilitary forces: the Civil Armed Police, the Coastguard and the Pakistan Rangers.The figures for Sri Lanka for 2000 do not fully reflect the special allocation of 28 billion rupees for war-related expenditure.

The figures for Fiji do not include spending on military pensions, or capital expenditure. For the years 2010-2013, capital expenditure on the Fiji Military Forces amounted to 2.7, 5.6, 7.3 and 4.7 million Fijian dollars respectively. For the years 1998 to 2002 Fijis spending on military pensions amounted to roughly 3.5 per cent of annual military spending.

Figures for Papua New Guinea before 2004 are for the recurrent part of the budget, excluding development expenditure. The latter is highly variable over the period 2004-2014, but is a small share (<3%) of the total in the years 2004-2006.

If the figures for Armenia were to include military pensions they would be 15-20% higher.

The figures for Azerbaijan for 2011 to 2014 include allocations of 1087, 1123, 1172 and 1172 million manats respectively for "special defence projects" in addition to the main defence budget.

The figures for Bosnia and Herzegovina from 2005 onwards are for the armed forces of Bosnia and Herzegovina, which was formed in 2005 from the Croat-Bosniac army of the Federation of Bosnia and Herzegovina and the Bosnian Serb Army of Republika Srpska. The figures prior to 2005 include expenditure for both the army of the Federation of Bosnia and Herzegovina and the Army of Republika Srpska. Data for Bosnia and Herzegovina does not include spending on arms imports.

NATO has provided figures for Bulgaria including pensions from 2006-2008: 1393, 1712 and 1749 million Leva for 2006, 2007 and 2008 respectively.

The figures for Croatia for 2004-10 include sums allocated from central government expenditure for repayments on a loan for a military radar system. The sums allocated were 160, 431.1, 147.8, 91.4, 53.2, 54.6 and 55.2 million Koruny in 2004-2010 respectively. Payments continued in 2011, but figures are not available, so a figure of 55.2 million Koruny has been included in the figures for 2011 as an estimate. The loan repayments concluded in 2011, according to the Croatian government.

The figures for the Czech Republic do not include military aid to Afghanistan or Iraq. Aid to Afghanistan was 18.7 million koruny in 2004 and 612.6 million koruny in 2007. Aid to Iraq was 1.1 million koruny in 2005.

Czechoslovakia was divided into the Czech Republic and the Republic of Slovakia on 1 Jan. 1993. Figures in the table for constant dollars are based on subsequent CPI and exchange rate data for the Czech Republic, and should be interpreted with caution.

Estonia merged their Border Guard Service with the National Police in 2010, and are no longer classed as a paramilitary force by SIPRI. This accounts for much of the decrease in Estonian military spending in 2010.

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The figures for France from 2006 are calculated with a new methodology due to a change in the French budgetary system and financial law.

The budget figures for Georgia for 2003 are believed to be an underestimation of actual spending because of the political turmoil during the year.

The German Democratic Republic (GDR, East Germany) ceased to exist in Oct. 1990 when it was unified with the Federal Republic of Germany (West Germany). The figures for GDR in constant US dollars are based on subsequent price and exchange rate data for the united Germany, and should be interpreted with caution.

The figures for Greece for 2014 should be treated with caution, as the economic and fiscal crisis may lead to actual expenditure being significantly lower than the revised budget that has been used as a basis for the current estimate.

Iceland does not have an army/military. The figures for Iceland relate to spending on maintaining the Icelandic Air Defence System, intelligence gathering and military exercises, for which Iceland has been responsible since 2008 NATO membership fees, and spending on the "Vikingasveitin" paramilitary special forces. The figures for Italy include spending on civil defence, which typically amounts to about 4.5% of the total.

Latvia adopted the Euro on the 1st January 2014, at a transition rate of €1 = 0.702804 lats. All figures have been converted into Euros using this rate. Figures for Latvia do not include allocations for military pensions paid by Russia, which averaged 27 million lats per year over 1996-1998.The definition of military expenditure for FYROM changed from 2006. Border troops were transfered from the Ministry of Defence to the Ministry of Interior Affairs and part of the military pensions, previously entirely excluded, are now included.

Adding all military items in Moldova's budget, including expenditure on military pensions and paramilitary forces, would give total miltiary expenditure for 2005, 2006 and 2007 of 343, 457 and 530 million lei, respectively.

Montenegro declared its independence from the State Union of Serbia and Montenegro on 3 June 2006 and was accepted as a member of the United Nations on 28 June 2006.

The figures for Poland exclude some defence spending in other ministries, and additional domestic defence spending such as the Armed Forces Modernization Fund and some additional Defence R&D. Between 2004 and 2014 these additional sums varied between about 240 million and 640 million Zlotys.

Figures are for the USSR from 1988-1990, and from Russia from 1992 onwards. No figure is available for 1991. For the sources and methods of the military expenditure figures for the USSR and Russia, see Cooper, J., 'The military expenditure of the USSR and the Russian Federation, 1987–97', SIPRI Yearbook 1998: Armaments, Disarmament and International Security (Oxford University Press: Oxford, 1998), appendix 6D, pp. 243–59.

Montenegro seceded from the State Union of Serbia and Montenegro 3 June 2006. The figures up to 2005 are for the State Union of Serbia and Montenegro (known as the Federal Republic of Yugoslavia until February 2003) and for 2006 onwards for Serbia alone.

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Sweden changed its accounting system in 2001 giving rise to a series break between 2000 and 2001. This break means that the decrease in military expenditure between 2000 and 2001 is overestimated by 1.4 percentage points.

Figures for Switzerland do not include expenditure on military pensions or paramilitary forces, or spending by cantons and local government. From 1990-2006, military spending by cantons and local government typically amounted to between 5-8% of the central government spending figures.

From 2001, the UK moved from a cash based accounting system to a resource based system. The figures for the UK from 2001 are based on the "Net Cash Requirement" figures given in the Annual UK Defence Statistics, which are closest to the old cash definition. The Net Cash Requirement definition differ slightly from the cash definition used up to 2000. The effect on the figures for UK military expenditure is unknown.

Figures for Ukraine are for the adopted budget up to 2007. The figures for Ukraine from 2009-2013 have been revised based on more accurate information on military pensions, which were previously estimated for these years. This has led to significant reductions in the estimates for Ukraine for 2011-2013 compared to previous editions of the Yearbook. Given the war in the east of the country, the figure for 2014 should be treated as provisional.

Former Yugoslavia including Croatia, Macedonia and Slovenia, has a separate entry up to and including the year 1991. Constant dollar figures are not available due to the lack of reliable economic data for Yugoslavia and its successor states.

The figures for Bahrain do not include extra budgetary spending on defence procurement. The figures for Bahrain have been revised for this edition of the SIPRI database to include spending on the paramilitary National Guard.

It is not clear whether the figures for Iran include spending on paramilitary forces such as the Islamic Revolutionary Guards Corps (IRGC).

The figure for Iraq for 2014 is an estimate based on the budget for Defence & Security, and is particularly uncertain due to the war with the Islamic State in Iraq and the Levant (ISIL) that broke out during 2014. The figures for Iraq do not include spending on the National Defence Council, the Office of the Chief of the Armed Forces or the Directorate of Disarmament and Integration of Militias, which totaled 308 and 314 billion dinars in 2011 and 2012 respectively.

The figures for Israel from 1988 have been substantially revised, first of all to remove US military aid from the total, secondly to add data and estimates on supplemental allocations made to the defence budget each year, based on new information from the Knesset Research Center covering 2006-14 (figures for the previous years estimated by SIPRI). The figure for 2014 includes only provisional information on supplementary allocations, and is almost certainly an underestimate, as it does not include the full cost of Operation Protective Edge.

Figures for Oman are for current expenditure on defence and national security. Actual expenditure figures for Oman for 2011-13 have been much higher than the original budget, due to substantial supplementary allocations for arms purchases. It is likely that this pattern will continue in 2014, so the budgeted figure reported should be treated with caution.

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The figures for Saudi Arabia are for defence and security and are for the adopted budget rather actual expenditure. The figures for Saudi Arabia may not include billions of dollars of military aid for Lebanon and Egypt that was announced in 2013 and 2014.

The figures for Syria in US dollars have been converted from local currency using the market exchange rate for the base year of 2011 of 1 dollar = 48.215 syrian pounds. Previously, Syria operated an official exchange rate of 1 dollar = 11.225 Syrian pounds, which was used in previous SIPRI Yearbooks. Syria abolished the official rate in 2007, moving to the parallel market rate that had previously operated unofficially.

The military expenditure of the United Arab Emirates is uncertain and lacking in transparency. Official documents and IMF reports sometimes give figures for defence spending, but only covering "goods and services" i.e. not salaries or military equipment. However, IMF reports give figures for spending on "Abu Dhabi Federal Services", said to be mostly for military spending. We have estimated total UAE military spending by taking 80% of the Federal Services figure, plus, the MOD goods and services figure, or estimates of this where not available.

The Republic of Yemen was formed in 1990 from the merger of the Yemen Arab Republic (North Yemen) and the People's Democratic Republic of Yemen (South Yemen).

North Yemen merged with South Yemen into the Republic of Yemen in 1990. Figures in the table for constant dollars are based on subsequent price and exchange rate data for the united Republic of Yemen, and should be interpreted with caution.

Footnotes from the SIPRI Yearbook 2014, written primarily for the data covered in it (2004-2013). As the data is comparable over time the footnotes should, by implication, also be valid for the data for 1988-2003.

Figures for these countries are for current spending only (i.e. exclude capital spending)Figures for these countries are for the adopted budget, rather than actual expenditure

This country changed or redenominated its currency during the period; all current price local currency figures have been converted to the latest currency.

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Footnotes from the SIPRI Yearbook 2014, written primarily for the data covered in it (2004-2013). As the data is

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sipri milex data 1988-2014

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