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Windows LCID and Currency Symbol Reference Data
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About
Mastering the complexities of global data requires precise knowledge of how different cultures represent numerical and monetary values. These records provide a detailed overview of the decimal and thousand separators, currency symbols, and international codes used across a diverse range of locales. By centralising these standards, the collection enables developers and data scientists to build applications that accurately parse and display financial and statistical data for an international audience, ensuring regional accuracy in every calculation. It serves as a vital bridge between raw data and culturally specific formatting requirements.
Columns
- lcid: The Windows Locale Identifier, a unique numerical code used by systems to identify specific cultural preferences.
- locale: The standard locale string representing the specific language and regional pairing (e.g., "az_AZ").
- decimal_point: The specific character used to separate the integer portion of a number from its fractional part, typically a full stop or a comma.
- thousands_sep: The character used to separate groups of thousands for improved readability, which may vary from a comma to a space or even no character at all.
- int_curr_symbol: The three-letter international currency code, such as EUR or INR, used in global financial transactions.
- currency_symbol: The local graphical symbol representing the currency, such as the Euro sign (€) or Dollar sign ($).
- two_alpha_code: The two-letter ISO country code associated with the specific geographical region.
- display_name: The full, human-readable name of the culture or language-region pair, such as "English (India)".
Distribution
The information is delivered in a single CSV file titled
windows_python_locale_numberformat.csv, with a total size of 9.58 kB. It contains 208 valid records structured across 8 distinct columns. The data exhibits high integrity, with a 100% validity rate for core fields like LCID, locale name, and country codes. This is a static reference resource with no future updates expected, and it currently holds a maximum usability score of 10.00.Usage
This resource is ideal for automating data cleaning tasks when processing international datasets that use varied punctuation for numerical values. It is well-suited for software engineering projects, specifically in the development of localisation (L10n) and internationalisation (I18n) libraries for Python or Windows environments. Additionally, analysts can use these standards to ensure that financial reports and currency conversions are formatted correctly for stakeholders in different cultural contexts.
Coverage
The scope is global, encompassing 200 unique locales and representing 125 different 2-alpha country codes. It provides a snapshot of formatting standards across a wide variety of regions, including European, Asian, and African nations. While the data is highly representative of modern computing standards, it remains focused on the primary separators and currency identifiers used in digital environments.
License
CC0: Public Domain
Who Can Use It
Software developers can leverage these records to create robust number-parsing functions that handle various separators automatically. Data engineers may utilise the LCID and alpha codes to map disparate datasets to a unified cultural standard. Furthermore, UI/UX designers can refer to the currency symbols and display names to ensure that financial dashboards are culturally appropriate and accessible for their target users.
Dataset Name Suggestions
- Global Locale Standards for Number and Currency Formatting
- International Decimal and Thousand Separator Registry
- Windows LCID and Currency Symbol Reference Data
- Cross-Cultural Numerical Localisation Metrics
- Universal Currency and Locale Mapping Archive
Attributes
Original Data Source: Windows LCID and Currency Symbol Reference Data
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