geographicaviationairportsflightsroutestransportationairlinesconnectivitygeographyeconomicsglobal

Global Flight Routes & Airport Connectivity Network

About this data

Comprehensive 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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# 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: "Global Flight Routes & Airport" })
// Found: 71f62319-b8c7-42f1-be03-c7eb69308335
get_download_url({ dataset_id: "71f62319-b8c7-42f1-be03-c7eb69308335" })  // free — no API key needed

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