Daily Historical Weather Data - US Zip Codes

WeatherTrends360 is one of the world’s most trusted forecasting companies. Our historical dataset is built from decades of observed weather data, quality-controlled and standardized to provide a consistent, high-resolution view of past conditions across every square mile of Earth. This dataset enables users to analyze long-term trends, seasonality, and anomalies with confidence.

The daily historical data provides the foundation needed to understand how weather has impacted your business over time and is applicable across retail, CPG, financial services, insurance, automotive, outdoor, agriculture, and pharma sectors. Whether you’re benchmarking performance, building predictive models, or identifying weather-driven demand patterns, the historical dataset empowers deeper insights using data spanning back to 2007.

Although the data presented here is zip code-level for the United States, WeatherTrends360 is capable of mapping weather data to any customer-specific regions, such as Distribution Centers, Ad Regions, and Designated Market Areas, both in the U.S. and globally. Additionally, long-range forecast products and an extensive weather history are available to offer a comprehensive solution for all your weather data needs.

Fields Included:

-Date

-Zip Code

-Average Temperature (F)

-Minimum Temperature (F)

-Maximum Temperature (F)

-Precipitation (Inches)

-Snowfall (Inches)

About WeatherTrends360

WeatherTrends360 helps businesses both large and small become PROACTIVE vs REACTIVE to achieve Better Business in any Weather ® up to a year ahead, everywhere in the world. Since 2002 we have been forecasting year-ahead temperature and precipitation trends for millions of locations covering the globe and quantifying exactly how that affects thousands of seasonal categories and weather-sensitive businesses.

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数据集概述：Daily Historical Weather Data - US Zip Codes

基本信息

• 数据集名称: Daily Historical Weather Data - US Zip Codes
• 提供商: Weather Trends International
• 定价: 免费 (Free, Unlimited Access)
• 更新频率: 每日 (Daily)
• 时间覆盖: 自2007年至今 (Last 19 years)，按天提供
• 地域覆盖: 美国邮政编码级别 (US Zip Codes)
• 交付方式: Secure share

数据描述

该数据集由 WeatherTrends360 提供，基于数十年的观测数据，经过质量控制和标准化处理，提供自2007年以来的每日历史天气数据。数据可用于分析长期趋势、季节性和异常情况，适用于零售、CPG、金融服务、保险、汽车、户外、农业和制药等多个行业。

数据表及字典 (DAILY_HISTORICAL_WEATHER)

字段名	类型	描述
AVG_TEMP	Float	日均温度 (华氏度)
DATE	Date	日期
MAX_TEMP	Float	每日最高温度 (华氏度)
MIN_TEMP	Float	每日最低温度 (华氏度)
PRCP	Float	每日总降水量 (英寸)
SNOW	Float	每日总降雪量 (英寸)
ZIPCODE	Varchar	美国邮政编码

业务应用场景

• 零售与消费品: 将天气模式与销售业绩相关联，优化库存规划、促销时机和需求预测。
• 能源与公用事业: 通过分析邮政编码级的冷/热度日数，改进负荷预测和定价模型。
• 保险与风险管理: 使用精确的历史天气事件，增强巨灾模型、精算分析及产品定价。
• 农业与食品供应: 支持产量预测、灌溉规划和气候风险评估。
• 物流与运输: 分析天气对交货时间、路线优化和燃料消耗的影响。
• 医疗与制药: 追踪天气与健康结果（如呼吸道疾病、过敏季节）之间的相关性。