ZIP+4. Complete dataset based on US postal data consisting of plus 35 millions of polygons
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https://datarade.ai/data-products/zip-4-complete-dataset-based-on-us-postal-data-consisting-of-geojunxion
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资源简介:
GeoJunxion‘s ZIP+4 is a complete dataset based on US postal data consisting of plus 35 millions of polygons. The dataset is NOT JUST a table of spot data, which can be downloaded as csv or other text file as it happens with other suppliers. The data can be delivered as shapefile through a single RAW data delivery or through an API. The January 2021 USPS data source has significantly changed since the previous delivery. Some States have sizably lower ZIP+4 totals across all counties when compared with previous deliveries due to USPS parcelpoint cleanup, while other States have a significant increase in ZIP+4 totals across all counties due to cleanup and other rezoning. California and North Carolina in particular have several new ZIP5s, contributing to the increase in distinct ZIPs and ZIP+4s. GeoJunxion‘s ZIP+4 data can be used as an additional layer on an existing map to run customer or other analysis, e.g. who is my customer who not, what is the density of my customer base in a certain ZIP+4 etc. Information can be put into visual context, due to the polygons, which is good for complex overviews or management decisions. CRM data can be enriched with the ZIP+4 to have more detailed customer information. Key specifications: Topologized ZIP polygons GeoJunxion ZIP+4 polygons follow USPS postal codes ZIP+4 code polygons: ZIP5 attributes State codes. Overlapping ZIP+4 boundaries for multiple ZIP+4 addresses on one area Updated USPS source (January 2021) Distinct ZIP5 codes: 34 731 Distinct ZIP+4 codes: 35 146 957 The ZIP + 4 polygons are delivered in Esri shapefile format. This format allows the storage of geometry and attribute information for each of the features. The four components for the shapefile data are: .shp – This file stores the geometry of the feature .shx –This file stores an index that stores the feature geometry .dbf –This file stores attribute information relating to individual features .prj –This file stores projection information associated with features Current release version 2021. Earlier versions from previous years available on request.
提供机构:
Geojunxion
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是基于美国邮政数据的ZIP+4完整地理数据集,包含超过3500万个多边形,以shapefile格式或API方式提供。数据源2021年1月有显著更新,适用于客户分布分析、CRM数据增强等商业地理分析场景。
以上内容由遇见数据集搜集并总结生成



