A 50 Airport enriched dataset that includes a location, business, foot traffic, passenger analysis, based on internal and external arquitectural mapping that helps users to understand passenger preferences, retail site selection plans, footfall mobility patterns, financial performance, among others. This dataset contains enriched airport data with arquitectural mappings and mobility, financial, passengers, and internal retail establishments performance from 50 international and national USA, Canada, Mexico, Brasil, Colombia, Argentina, Perú, Spain, France, Netherlands, United Kingdom, South Korea, Turkey and Singapur airports. Cities: -Atlanta -Nashville -North Carolina -Dallas -New York -California -Chicago -Houston -Los Ángeles -Miami -Minnesota -New Orleans -Pensilvania -Washington D.C. -Mexico City -Monterrey -Tijuana -Guadalajara -Montreal -Mississuaga -Bogota -Antioquia -Buenos Aires -Brasilia -Curitiba -Porto Alegre -Recife -Rió de Janeiro -Salvador de Bahía -Sao Paulo -Fortaleza -Lima -Alicante -Barcelona -Bilbao -Madrid -Sevilla -Valencia -Paris -Ámsterdam -London -Manchester -Stansted -Seul -Singapur -Estambul Posible uses Cases: - Connectivity between airports . - Commercial insights. - Passengers preferences, footfall and foot traffic patterns inside and outside the airports -Shared passengers. -Revenue per passenger such as: Duty Free, Retail, car dealerships, restaurants, VIP, Convenience Stores, services among others. -Establishments concession and passenger volume measured by square meters -Measure of passengers visits and preferences of the internal outlets - Financial and site selection profitability by outlet and airport areas -Airports preference by passengers reviews