Global Time zones and DST
收藏Snowflake2025-10-21 更新2025-10-22 收录
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资源简介:
A global self-hosted time zone dataset containing accurate time zone information and Daylight Saving Time transitions for all locations worldwide. All temporal data follows IANA's standardized time zones (Olson database) and includes future DST switching dates and times to ensure operational accuracy for businesses managing global operations, scheduling, and time-sensitive processes.
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The data is standardized, unified, and ready to use, perfect for Snowflake integration.<br/>
**IMPORTANT**: This is just a sample of data for visualization purposes. Please get in touch with us to get access to the full data.
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**Please note**: This additional dataset must be used in combination with our ZIP code database to provide complete location-based time zone functionality.
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# Product Features
- **IANA standardized zones.** Complete coverage following Olson time zone database standards
- **Future DST transitions.** Precise dates and times for Daylight Saving Time changes in the coming years
- **UTC offset mapping.** Standard time and DST offsets are provided for every location
- **Local time precision.** Exact switching times expressed in local timezone format
- **Global coverage.** Time zone data for all 247 countries with complete geographical precision
- **Regular updates.** Maintained to reflect any legislative changes to time zone rules
- **Windows timezone compatibility.** Mapping files available for Windows timezone conversion
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# Why do companies choose our time zone database
- Enterprise-grade precision for mission-critical operations
- Eliminate timezone confusion and scheduling errors
- Future-proof with advanced DST transition data
- Trusted by global logistics and financial services companies
- Seamless integration with existing scheduling systems
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# Availability
Global coverage in 247 countries.
Note: Custom country packages are available. Please submit a request via our email.<br/>
# About GeoPostcodes
GeoPostcodes provides the most comprehensive global location database. It contains ZIP codes, addresses, boundaries, and population data covering 247 countries, including hard-to-source countries like China, Japan, and Brazil. We deliver high-quality data through standardized, up-to-date datasets curated from over 1,500 authoritative sources.
With 15 years of experience, we provide expert consulting to ensure seamless implementation in your systems. Our self-hosted solution offers complete data ownership, ensuring security, compliance, and performance at a fixed cost.
Fortune 500 companies such as Amazon and DB Schenker use our data for address validation, distance calculation, and map visualization. We power critical operations across logistics, e-commerce, advertising, market research, and marketplaces worldwide.
提供机构:
GeoPostcodes
创建时间:
2025-10-21
原始信息汇总
Global Time zones and DST 数据集概述
数据集描述
全球自托管时区数据集,包含全球所有地点的准确时区信息和夏令时转换数据。所有时间数据遵循IANA标准化时区(Olson数据库),并包含未来DST切换日期和时间,确保企业在管理全球运营、调度和时间敏感流程时的操作准确性。
产品特性
- IANA标准化区域:遵循Olson时区数据库标准的完整覆盖
- 未来DST转换:未来几年夏令时变更的精确日期和时间
- UTC偏移映射:为每个位置提供标准时间和DST偏移
- 本地时间精度:以本地时区格式表示的精确切换时间
- 全球覆盖:247个国家的时区数据,具有完整地理精度
- 定期更新:维护以反映时区规则的任何立法变更
- Windows时区兼容性:提供Windows时区转换的映射文件
业务需求
可靠数据部署
企业级精度,用于关键任务操作
消除时区混淆
多时区业务运营协调、国际系统自动时间转换、客户服务/支持调度
数据字典
表名:GPC_TIMEZONES_US_SAMPLE
列结构:
- ISO:Varchar
- COUNTRY:Varchar
- OLSON:Varchar
- UTC:Varchar
- DST:Varchar
- ZONE:Varchar
- ZONENAME:Varchar
数据示例:
| ISO | COUNTRY | OLSON | UTC | DST | ZONE | ZONENAME |
|---|---|---|---|---|---|---|
| US | United States | America/Sitka | -09:00 | -08:00 | AKST/AKDT | Alaska Standard Time |
| US | United States | America/New_York | -05:00 | -04:00 | EST/EDT | Eastern Standard Time |
使用示例
sql SELECT * FROM "GPC_TIMEZONES_US_SAMPLE" LIMIT 10;
技术规格
- 刷新频率:每年
- 地理覆盖:全球(按邮政编码)
- 云区域可用性:AWS(非洲开普敦、亚太雅加达、亚太孟买、亚太大阪等46个区域)
- 许可证条款:标准
重要说明
- 当前数据仅为可视化目的提供的样本
- 必须与ZIP代码数据库结合使用以提供完整的基于位置的时区功能
- 可提供定制国家包
联系方式
- 销售:sales+snowflake@geopostcodes.com
- 支持:sales+snowflake@geopostcodes.com
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集提供全球时区和夏令时转换信息,基于IANA标准并包含未来转换日期,覆盖247个国家。数据已标准化,适用于企业全球运营,但需结合邮政编码数据库以实现完整功能。
以上内容由遇见数据集搜集并总结生成



