Variable: Global Militarization Index

QoG Code: (bicc_gmi)


Dataset: Global Militarization Index

Description:

The Global Militarization Index is divided into three overarching categories: expenditure, personnel and heavy weapons. (See variables bicc_milexp, bicc_milper, and bicc_hw).

In order to increase the compatibility between different indicators and preventing extreme values from crating distortions when normalizing data, in a first step every indicator was represented in a logarithm with the factor 10. Second, all data was normalized using the formula x=(y-min)/(max-min), with min and max representing, respectively, the lowest and the highest value of the logarithm. In a third step, every indicator was weighted in accordance to a subjective factor, reflecting the relative importance attributed to it by BICC researchers. In order to calculate the final score, the weighted indicators were added together and then normalized one last time on a scale ranging from 0 to 1,000. For better comparison of individual years, all years were finally normalized.

Weighting Factors used:
Military expenditures as percentage of GDP - 5
Military expenditures in relation to health spending - 3
Military and paramilitary personnel in relation to population - 4
Military reservers in relation to population - 2
Military and paramilitary personnel in relation to physicians - 2
Heavy weapons in relation to population - 4

Type of variable: Continuous

Downloaded by QoG on: 2023-10-26
Last updated by source: 2022-11-01


Categories:

Conflict


Find this variable in:

Basic Cross-section - 2024 Basic Time-series - 2024 OECD Cross-section - 2024 OECD Time-series - 2024 Standard Cross-section - 2024 Standard Time-series - 2024 Original Dataset

Details of this variable in our compilations datasets
Dataset No. Countries
Basic cross-section: 157
Basic time-series: 167
Standard cross-section: 157
Standard time-series: 167
OECD cross-section: 37
OECD time-series: 38

Dataset Available for years:
Standard time-series: 1990-2021
Basic time-series: 1990-2021
OECD time-series: 1990-2021

This variable has information for these countries:

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