license:apache-2.0 size_categories:n<1K format:csv modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us Economics Politics Government Crime Gender
---
license: apache-2.0
tags:
- Economics
- Politics
- Government
- Crime
- Gender
pretty_name: Global Freedom & Safety Index
---

# Freedom vs. Safety Dataset

**License**: Apache-2.0

## Overview
The **Freedom vs. Safety Dataset** explores the relationship between freedom and safety across various countries. It uses scaled freedom indices and a derived safety function to quantify this relationship:

$$ \text{Safety} = 1 - 0.7374 \times \text{Freedom}^2 $$

The freedom index is normalized to the range [0, 1], and safety values are computed based on this index. 

### Dataset Columns:
- **Country**: The name of the country
- **Freedom**: The normalized freedom index for the country (range: 0 to 1)
- **Safety**: The derived safety value based on the freedom index

### Statistical Overview:
- **Freedom**:
  - Mean = 0.626
  - Standard Deviation = 0.214
  - Min = 0.000
  - Max = 1.000
- **Safety**:
  - Mean = 0.677
  - Standard Deviation = 0.190
  - Min = 0.263
  - Max = 1.000

## Caution
While this dataset provides useful insights into the relationship between freedom and safety, users should exercise caution when interpreting the results. The safety values are derived using a mathematical function that does not account for the cultural, economic, or political complexities of each country. These values are statistical abstractions and may not fully capture the nuanced realities of freedom and safety in practice.

## Future Updates
This dataset is a work in progress and will continue to be updated and refined. New versions will be posted here as they become available, so be sure to check for updates.