scientificinternet freedomdigital rightscensorshippress freedompolicyhuman rightsglobal index2025

Internet Freedom & Digital Rights Index

2025

Free

Open dataset

Sample structure: 100 / 100

6 download links issued

Seller: waseemahmad

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Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: Supplier-cited: Freedom House; Reporters Without Borders
Collection method: Supplier description: End-to-end dataset tracking internet freedom and digital rights across 70 countries, combining Freedom House Freedom on the Net scores (0-100) with Reporters Without Borders Press Freedom Index scores. Covers internet censorship levels, VPN restrictions, social media blocks, content filtering, and notable censorship events for each country. Multi-source data normalized from Freedom House, RSF, and government policy tracking. Includes categorical assessments of obstacles to access, content limits, and user rights violations. Ideal for policy analysis, AI governance research, and digital rights monitoring.
Coverage / snapshot: 2025
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract. Other cited publishers: Reporters Without Borders: https://rsf.org/en/index

Sample structure score: 100 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	50 / 50	130 of 130 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	130 of 130 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
country	0 / 10	string	0 / 10
iso3	0 / 10	string	0 / 10
continent	0 / 10	string	0 / 10
internet_freedom_score	0 / 10	number	0 / 10
internet_freedom_status	0 / 10	string	0 / 10
press_freedom_score	0 / 10	number	0 / 10
press_freedom_rank	0 / 10	number	0 / 10
obstacles_to_access	0 / 10	string	0 / 10
content_limits	0 / 10	string	0 / 10
user_rights_violations	0 / 10	string	0 / 10
vpn_restriction	0 / 10	string	0 / 10
social_media_blocked	0 / 10	string	0 / 10
notable_censorship_events	0 / 10	string	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Tracks internet censorship, VPN restrictions, social media blocks, and content filtering across countries. Combines Freedom House Freedom on the Net scores with Reporters Without Borders Press Freedom Index data, including categorical assessments of access obstacles, content limits, and user rights violations.

Retrieve with your agent or Python

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Download the Python example

python3 retrieve-dataset.py 29d27ad1-8921-4eab-bcbd-8c16c305ad39 --output dataset.bin

Full supplier documentation

Original supplier listing: Internet Freedom & Digital Rights Index — 70 Countries (2025) End-to-end dataset tracking internet freedom and digital rights across 70 countries, combining Freedom House Freedom on the Net scores (0-100) with Reporters Without Borders Press Freedom Index scores. Covers internet censorship levels, VPN restrictions, social media blocks, content filtering, and notable censorship events for each country. Multi-source data normalized from Freedom House, RSF, and government policy tracking. Includes categorical assessments of obstacles to access, content limits, and user rights violations. Ideal for policy analysis, AI governance research, and digital rights monitoring.

Schema

Name	Type	Description
country	string
iso3	string
continent	string
internet_freedom_score	string
internet_freedom_status	string
press_freedom_score	string
press_freedom_rank	string
obstacles_to_access	string
content_limits	string
user_rights_violations	string
vpn_restriction	string
social_media_blocked	string
notable_censorship_events	string

Sample Data

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For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Internet Freedom & Digital Rig" })
// Found: 29d27ad1-8921-4eab-bcbd-8c16c305ad39
get_download_url({ dataset_id: "29d27ad1-8921-4eab-bcbd-8c16c305ad39" })  // free — sign in with MCP OAuth first

Via REST API

# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/29d27ad1-8921-4eab-bcbd-8c16c305ad39/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"