IATA to ISO Converter
A fast, single-field tool that converts valid IATA airport codes (like WUX) into ISO 3166-1 alpha-2 country codes for data normalization.

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About This Tool
The tool converts a 3-letter IATA airport code into the corresponding ISO 3166-1 alpha-2 country code. It targets data engineers, travel analytics teams, product managers, and API integrators who need geographic normalization within datasets, dashboards, ETL pipelines, and travel data workflows. Assumption: the most common interpretation of the keyword is IATA-to-ISO country code mapping; if the intent is different, a separate variant would be required. The core logic is a strict, data-driven lookup against a maintained mapping between airport locations and ISO country codes, returning an alpha-2 code and an optional country name. Example: WUX maps to CN (China). Input is normalized to uppercase with whitespace trimmed to ensure deterministic results. This approach supports high-volume calls with consistent formatting and predictable outputs for downstream joins. Core value includes reducing manual lookups, avoiding inconsistent country identifiers, and enabling reliable geography joins in analytics. Use cases include ETL pipelines, inventory and shipping datasets, and travel itineraries where origin airports must be linked to countries. A differentiator is the combination of an authoritative, regularly updated mapping dataset and immediate, single-field results suitable for caching and scalable implementations. Designed for developers and analysts who prioritize data quality and reproducibility, the tool outputs a two-character ISO code and, where needed, the country name for readable reports. The simple input, instant result design supports straightforward integration into data platforms and batch wrappers for extended workflows.
How to Use
1. Provide the IATA airport code (3-letter, e.g., WUX).
2. Ensure input is in uppercase and trimmed of whitespace.
3. Run the conversion to obtain the ISO alpha-2 code (and country name if enabled).
4. Validate the output against a trusted country list for consistency.
5. Use the result to join with country-level dimensions in analytics pipelines.

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