scientificcybersecuritycountry-indexrisk-assessmentpolicyglobalmulti-source

Cybersecurity Readiness & Threat Index

2025

Free

Open dataset

Sample structure: 97.7 / 100

8 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: World Bank Open Data
Collection method: uploaded
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.

Sample structure score: 97.7 / 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	47.7 / 50	143 of 150 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	143 of 143 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
region	0 / 10	string	0 / 10
gci_score	0 / 10	number	0 / 10
gci_tier	0 / 10	number	0 / 10
ncsi_score	0 / 10	number	0 / 10
ncsi_ddl_score	0 / 10	number	0 / 10
cyber_safety_score	0 / 10	number	0 / 10
data_breach_cost_usd_m	7 / 10	number	0 / 3
has_data_protection_law	0 / 10	string	0 / 10
data_protection_strength	0 / 10	number	0 / 10
has_cybercrime_law	0 / 10	string	0 / 10
has_national_cert	0 / 10	string	0 / 10
cert_name	0 / 10	string	0 / 10
internet_penetration_pct	0 / 10	number	0 / 10

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

About this data

Multi-source index combining ITU Global Cybersecurity Index, National Cyber Security Index, cyber safety scores, data breach costs, data protection law classifications, and internet penetration rates. Each of 70 countries includes 15 normalized indicators: GCI score and tier, NCSI score, digital development level, composite cyber safety score, average data breach cost, data protection law status and strength, cybercrime legislation status, national CERT/CSIRT presence, and internet penetration rate.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py 4681d2cd-2743-4e91-a619-82ec66938b23 --output dataset.bin

Full supplier documentation

Original supplier listing: Cybersecurity Readiness & Threat Index — 70 Countries (2025) End-to-end multi-source index measuring cybersecurity readiness across 70 countries. Combines data from ITU Global Cybersecurity Index (GCI 2024), National Cyber Security Index (NCSI), MixMode/Comparitech Cyber Safety Score, IBM Cost of Data Breach Report, DLA Piper data protection law classifications, and ITU/World Bank internet penetration statistics. Each row represents one country with 15 normalized indicators including: GCI score and tier, NCSI score, digital development level, composite cyber safety score, average data breach cost, data protection law status and strength (1-4 scale), cybercrime legislation status, national CERT/CSIRT presence and name, and internet penetration rate. Sources: ITU (GCI 2024), e-Governance Academy (NCSI), MixMode/Comparitech, IBM/Ponemon Institute, DLA Piper, UNCTAD, World Bank, Internet World Stats. Ideal for: cybersecurity policy research, country risk assessment, digital infrastructure analysis, investment due diligence, and academic research on global cyber resilience patterns.

Schema

Name	Type	Description
country	string
iso3	string
region	string
gci_score	string
gci_tier	string
ncsi_score	string
ncsi_ddl_score	string
cyber_safety_score	string
data_breach_cost_usd_m	string
has_data_protection_law	string
data_protection_strength	string
has_cybercrime_law	string
has_national_cert	string
cert_name	string
internet_penetration_pct	string

Sample Data

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For AI Agents

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}

# 2. Your agent can then call:
search_datasets({ query: "Cybersecurity Readiness & Thre" })
// Found: 4681d2cd-2743-4e91-a619-82ec66938b23
get_download_url({ dataset_id: "4681d2cd-2743-4e91-a619-82ec66938b23" })  // free — sign in with MCP OAuth first

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