Stockholm International Peace Research Institute (SIPRI)

Summary

The SIPRI database provides data on military expenditure for more than 160 countries. The SIPRI provides data for the period of 1949-2024 (or most recent year) and it is updated annually.

On the assumption that expenditure is spread evenly throughout the year if financial years do not align with calendar years, local currency military spending at current prices is presented for each country by financial year and by calendar year. The data is provided according to calendar year in terms of current and constant (2023) US dollars, as a percentage of GDP, and on a per capita basis. The financial year is used to represent data as a percentage of total government expenditure. The online database is available at https://www.sipri.org/databases/milex.

The sources for military expenditure data are, in order of priority: (a) primary sources, that is, official data provided by national governments, either in their official publications or in response to questionnaires; (b) secondary sources which quote primary data; and (c) other secondary sources. The second category includes international statistics, such as those of NATO and the International Monetary Fund (IMF).

SIPRI military expenditure data is based on open sources only. The database is revised when new and better sources are available. Therefore, there is sometimes considerable variation between data sets for individual countries in different yearbooks.

The last update was May of 2025.

Tables in IFs

Table	Definition	Unit	Years	Source	Name in Source	Code in Source
GovtMil%GDPSIPRI	Military expenditures as percent of GDP (SIPRI)	Percent	1949-2024	https://www.sipri.org/databases/milex	Military expenditure by country as percentage of gross domestic product, 1948-2024	Share of GDP

Data Pulling Instructions

Step 1: Go to https://www.sipri.org/databases/milex

Step 2: Download the highlighted Excel file. The data for GovtMil%GDPSIPRI will be under the tab "Share of GDP".

Step 3: Use Control F to find and remove "..." and "xxx" as these characters can make importing into IFs or using a script difficult.

Data Notes

1. If you are importing using IFs, change the number format from percent to number (keeping the same value) as IFs will read the percent format and change it to it's decimal value (ex. 1.63% will become 0.02 rounded).