Overview

The Center for Systemic Peace was founded in 1997 to engage in global systems analysis to minimize the effects of political violence in the world as a whole. The following data set shows the state fragility for countries with a population greater than 500,000 in 2013. The State Fragility Index scores countries on two main categories, effectiveness and legitimacy. These are then broken down into four dimensions: Security, Political, Economic, and Social. The State Fragility Index score is the sum of the individual country's effectiveness score and their legitimacy score. Each of these scores are the summation of the four dimensions within the category.

http://www.systemicpeace.org/inscrdata.html

Explore Structure




Index Type Example Value
0 dict { }
... ... ...
Key Type Example Value Comment
"Metrics" dict { }
"Country" str "Afghanistan"
"Year" int 1995
Key Type Example Value Comment
"Legitimacy" dict { }
"Effectiveness" dict { }
"State Fragility Index" int 25 The sum of the Effectiveness Score and the Legitimacy Score
Key Type Example Value Comment
"Security Effectiveness" int 3
"Social Effectiveness" int 3
"Political Effectiveness" int 3
"Economic Effectiveness" int 4
"Effectiveness Score" int 13 The sum of the four dimensions of the Effectiveness Score
Key Type Example Value Comment
"Legitimacy Score" int 12 The sum of the four dimensions of the Legitimacy Score
"Political Legitimacy" int 3
"Security Legitimacy" int 3
"Economic Legitimacy" int 3
"Social Legitimacy" int 3

Downloads

Download all of the following files.

Usage

This library has 1 function you can use.
import state_fragility
list_of_score = state_fragility.get_scores()
Additionally, some of the functions can return a sample of the Big Data using an extra argument. If you use this sampled Big Data, it may be much faster. When you are sure your code is correct, you can remove the argument to use the full dataset.
import state_fragility
# These may be slow!
list_of_score = state_fragility.get_scores(test=True)

Documentation

 state_fragility.get_scores(test=False)

Returns state fragility scores from the dataset.