geographicaviationairportsflightsroutestransportationairlinesconnectivitygeographyeconomicsglobal

International Flight Routes and Airport Connectivity Network

Free

Open dataset

Sample structure: 98.4 / 100

12 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 start: Not documented
Coverage end: Not documented
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: 98.4 / 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	48.8 / 50	293 of 300 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	29.6 / 30	289 of 293 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
route_id	0 / 10	number	0 / 10
airline_code	0 / 10	string	0 / 10
airline_name	0 / 10	string	0 / 10
airline_country	0 / 10	string	0 / 10
airline_active	0 / 10	string	0 / 10
source_airport_code	0 / 10	string	0 / 10
source_airport_name	0 / 10	string	0 / 10
source_city	0 / 10	string	0 / 10
source_country	0 / 10	string	0 / 10
source_continent	0 / 10	string	0 / 10
source_latitude	0 / 10	number	0 / 10
source_longitude	0 / 10	number	0 / 10
dest_airport_code	0 / 10	string	0 / 10
dest_airport_name	0 / 10	string	0 / 10
dest_city	0 / 10	string	0 / 10
dest_country	0 / 10	string	0 / 10
dest_continent	1 / 10	string	0 / 9
dest_latitude	0 / 10	number	0 / 10
dest_longitude	0 / 10	number	0 / 10
distance_km	0 / 10	number	0 / 10
distance_class	0 / 10	string	0 / 10
is_codeshare	0 / 10	number	0 / 10
stops	0 / 10	number	0 / 10
equipment	0 / 10	string	4 / 10
is_domestic	0 / 10	number	0 / 10
is_intercontinental	0 / 10	number	0 / 10
source_country_population	1 / 10	number	0 / 9
source_country_gdp_per_capita	1 / 10	number	0 / 9
dest_country_population	2 / 10	number	0 / 8
dest_country_gdp_per_capita	2 / 10	number	0 / 8

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

About this data

Commercial flight routes connecting airports across countries, including airline information, geographic coordinates, route distances, and country-level economic indicators from World Bank (population 2023, GDP per capita 2023, air passenger volume 2022). Routes classified by distance and domestic/international status.

Retrieve with your agent or Python

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Download the Python example

python3 retrieve-dataset.py 71f62319-b8c7-42f1-be03-c7eb69308335 --output dataset.bin

Full supplier documentation

Original supplier listing: International Flight Routes & Airport Connectivity Network Cleaned dataset of 66,771 commercial flight routes connecting 3,214 airports across 225 countries, enriched with airline data, geographic coordinates, route distances, and country-level economic indicators. ## Sources - **OpenFlights**: Airport locations, airline information, and route data for all commercial airlines worldwide - **World Bank**: Country-level population (2023), GDP per capita (2023), and air passenger volume (2022) ## Key Features - Route-level detail: origin/destination airports, airline, distance (km), equipment type - Distance classification: short-haul (<500km), medium-haul, long-haul, ultra-long-haul (>4000km) - Domestic vs international and intercontinental route flags - Country-level economic context: population, GDP per capita, air passenger volumes - Continental and timezone coverage for all airports ## Coverage - 66,771 routes | 546 airlines | 3,214 airports | 225 countries - Distance distribution: 12K short-haul, 28K medium-haul, 20K long-haul, 7K ultra-long-haul - Intercontinental routes: 9,479 ## Use Cases - Aviation network analysis and hub identification - Route optimization and market gap analysis - Economic corridor mapping between countries - Geographic accessibility studies - Airline competitive landscape analysis

Schema

Name	Type	Description
route_id	string
airline_code	string
airline_name	string
airline_country	string
airline_active	string
source_airport_code	string
source_airport_name	string
source_city	string
source_country	string
source_continent	string
source_latitude	string
source_longitude	string
dest_airport_code	string
dest_airport_name	string
dest_city	string
dest_country	string
dest_continent	string
dest_latitude	string
dest_longitude	string
distance_km	string
distance_class	string
is_codeshare	string
stops	string
equipment	string
is_domestic	string
is_intercontinental	string
source_country_population	string
source_country_gdp_per_capita	string
dest_country_population	string
dest_country_gdp_per_capita	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: "International Flight Routes an" })
// Found: 71f62319-b8c7-42f1-be03-c7eb69308335
get_download_url({ dataset_id: "71f62319-b8c7-42f1-be03-c7eb69308335" })  // 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/71f62319-b8c7-42f1-be03-c7eb69308335/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"