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Scorecard Visualization

Interactive visualization of human rights indicators across 194 countries.

Quick Overview

  • 194 Countries

    Countries represented in the published research snapshot

  • 10 Indicators

    AI Policy, Data Protection, LGBTQ+ Status, Child Protection, and more

  • 132 Fully Documented

    Countries with written justifications for all ten scored indicators

  • 26 June 2026

    Snapshot generated; source-verification stamp: 9 September 2025

Accessing Data

Interactive Visualizations

Explore the scorecard interactively below. Charts are rendered in your browser from a published static dataset — no server required. To filter, search, sort, and compare individual countries, use the Data Explorer.

Optional interactive charts load Plotly and map assets from cdn.plot.ly. Your browser sends that service a request, including your IP address. Table filters stay in your browser. This choice applies to this page only.

Data handling details

Charts are off. Use the country table or downloads without them.

Use the country table instead Download the published snapshot

Loading scorecard data…

Click a country on the map for its full indicator breakdown and sources.

About this data

Visualizations are generated from the project's designated visualization dataset and are point-in-time. Source-URL verification is an ongoing, separate workflow, so figures may be revised. The canonical pipeline data lives in scorecard_main.xlsx. See Data Access for the API and CSV exports.

Indicators Tracked

Scoring System

Each indicator uses a 0-1-2 scale where higher scores indicate stronger protections:

  • 2 (Best) - Comprehensive protections or safeguards in place
  • 1 (Middle) - Partial protections or mixed implementation
  • 0 (Worst) - No protections, harmful policies, or heightened risk

Risk analysis examines combinations of indicators (e.g., LGBTQ criminalization × biometric ID linkage).

The scorecard tracks 10 indicators spanning data protection, child online safety, LGBTQ+ rights, AI policy, and digital identification. The full definition, sources, and per-category (0/½) rubric for every indicator live on the Scorecard Design & Methodology page.

Composite Scores

In addition to the 10 individual indicators, the scorecard calculates composite metrics:

Protection Score

Formula: Sum of all 10 indicator scores (0–20 scale)

  • Maximum: 20 (all indicators score 2)
  • Minimum: 0 (all indicators score 0)
  • Interpretation: Higher scores indicate stronger digital rights protections

Example: Country with 7 indicators at (2), 2 at (1), 1 at (0) = 14 + 2 + 0 = 16 Protection Score

Risk Index

Formula: 100 − (Protection_Score / 20 × 100)

  • Maximum: 100 (no protections, highest risk)
  • Minimum: 0 (full protections, lowest risk)
  • Interpretation: Inverted scale where higher values indicate greater risk

Example: Protection Score of 16 → Risk Index = 100 − (16/20 × 100) = 100 − 80 = 20

Data Completeness

Formula: (Indicators with written justifications / 10) × 100

  • Maximum: 100% (all 10 indicators have data)
  • Minimum: 0% (no indicator data available)
  • Interpretation: Percentage of indicators with written justifications in the published visualization snapshot

Use the completeness measure to identify countries where more source research is needed before comparison.

Exporting Data

Via self-hosted REST API or CSV

Start your own instance using the API Quick Start. The API queries local pipeline inputs; the downloadable browser snapshot is a separate scored output.

Access scorecard data programmatically (REST API) or as CSV exports — every method, with copy-paste examples in cURL / Python / R, is documented on the Data Access page.

From the Pipeline

Run the scorecard export workflow:

python pipeline_runner.py --mode scorecard --scorecard-action export

The standard export generates scorecard_summary.csv, scorecard_sources.csv and scorecard_indicator_counts.csv. Regional and individual-indicator exports are separate operations.

CSV Format

scorecard_summary.csv:

Country AI_Policy_Status Data_Protection_Law LGBTQ_Legal_Status ...
Kenya Framework Comprehensive Law No Protections ...
South Africa Strategy Comprehensive Law Some Protections ...

scorecard_sources.csv:

country indicator url
Kenya AI_Policy_Status Source URL extracted from the workbook

Data Explorer

Want to filter by region or indicator, search for a country, sort the full table, or compare countries side-by-side?

Open the Data Explorer

Validation & Quality

URL Validation

Run URL checks on the pipeline source register:

python pipeline_runner.py --mode scorecard --scorecard-action validate

Generates validation_report.csv with:

  • HTTP status codes
  • Redirect chains
  • Broken links
  • Response times

Change Detection

Monitor sources for updates:

python processors/scorecard_diff.py

Detects:

  • Content changes (via hashing)
  • Page changes requiring policy review
  • Broken links
  • Changed access or content requiring review

Data Quality

Authoritative Sources:

  • UNESCO - AI policies and digital education
  • UNCTAD - Data protection legislation
  • ILGA World - LGBTQ+ legal status
  • UNICEF - Child protection measures
  • ITU - Telecom regulations
  • Privacy International - Surveillance measures

Updating assessments:

Source checks and content comparisons identify material for review. Changes to an assessment are recorded with the supporting source and date.

Updating an assessment

Record the country, indicator, existing value, proposed correction and source. After reviewing the evidence, update the workbook and regenerate the exports using the Scorecard Workflow.

Data Governance explains how sources and revisions are recorded.

Citing Scorecard Data

Identify LittleRainbowRights Scorecard, the snapshot generation date (26 June 2026), your access date and the particular assessments used. Record the 9 September 2025 source-verification stamp when discussing evidence freshness. Link to the published downloads and relevant original sources.

Cite DigitalChild v2.1.0 separately for the software.

Reading the assessments

The scorecard compares documented laws and policy frameworks using a three-point scale. Read the country assessments alongside their original sources, with attention to:

  • Dates: the snapshot was generated on 26 June 2026; the source-verification stamp is 9 September 2025.
  • Coverage: written justifications and accessible sources vary across countries and indicators.
  • Context: enforcement, local experience and differences within federal systems add detail beyond a national comparison.
  • Relationships: indicators such as criminalization and biometric identification may interact in ways that merit closer study.

Design & Methodology explains the scoring rules and analytical scope. Include the snapshot date and relevant sources when citing an assessment.

Future Enhancements

Planned features (see Roadmap):

  • Interactive choropleth map, indicator & regional charts ✅ LIVE (Plotly.js, this page)
  • Country comparison tool ✅ LIVE (radar comparison in the Data Explorer)
  • Time-series tracking of policy changes
  • API for programmatic access ✅ COMPLETE (12 endpoints implemented for self-hosting, see API docs)
  • Real-time source monitoring alerts
  • Expanded indicators (15-20 total)
  • Sub-national data (states/provinces)

Technical Details

For technical documentation:

Further guidance

Methodology · Data access · FAQ

Software development is recorded in the repository and roadmap.