Dark Mode
DHL Facility Metadata Collection
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides detailed metadata for DHL courier facilities globally. It offers insight into the vast network of the international courier, package delivery, and express mail service, a division of the German logistics firm Deutsche Post. With DHL delivering over 1.6 billion parcels annually, this data is valuable for understanding the physical infrastructure supporting global logistics. It can be used for geospatial analysis, urban planning, and studying cities and urban areas.
Columns
- X: The X coordinate of the facility location.
- Y: The Y coordinate of the facility location.
- OBJECTID: A unique identifier for each DHL facility record.
- FEATURE_ID: An additional feature identifier for each facility.
- NAME: The name associated with the facility, often including "OFFICEMAX" or "DHL EXPRESS".
- ADDRESS: The primary street address of the facility.
- ADDRESS2: Secondary address information, frequently noted as "NOT AVAILABLE".
- CITY: The city where the DHL facility is situated, with common entries such as "HOUSTON" and "ATLANTA".
- STATE: The state where the facility is located, with "TX" and "FL" being among the most frequent. There are 51 unique states represented.
- ZIP: The postal code for the facility's location.
- LATITUDE: The latitude coordinate of the facility.
- LONGITUDE: The longitude coordinate of the facility.
- MATCH_STATUS: Indicates the status of the address matching process, typically "OK" or "Zip Centroid".
- PLACEMENT: Details regarding the placement of the facility, often "Not Available".
- CENSUS_CODE: A census code associated with the facility's location.
- LAST_PICKUP: The last scheduled pickup time at the facility, such as "6:00 Pm [M-F] no Sat Pickup" or "5:30 Pm [M-F] no Sat Pickup".
- LOCATION_TY: The type of location, primarily "Drop Box" or "DHL Authorized Shipping Center".
- LOCATION_TH: Another categorisation of location type, mainly "Drop Box and Drop Off Facility" or "DHL Authorized Shipping Center".
Distribution
The dataset is provided in a CSV format (
DHL_Facilities.csv), with a file size of 5.67 MB. It comprises 18 columns and contains 24.1 thousand valid records. The update frequency for this dataset is noted as "Never".Usage
This dataset is ideal for a variety of applications, including:
- Geospatial analysis to map and understand the distribution of logistics infrastructure.
- Urban planning studies focusing on service accessibility and city logistics.
- Market research for courier and delivery services.
- Logistics optimisation and supply chain network design.
- Academic research on urbanisation, infrastructure, and economic geography.
Coverage
The dataset covers DHL courier facilities globally. The coordinates provided allow for precise geographic analysis. While DHL itself was founded in San Francisco, USA, and expanded worldwide by the late 1970s, the dataset specifically acknowledges Homeland Infrastructure Foundation-Level Data (HIFLD). The
STATE column indicates coverage across 51 unique states, with TX and FL being the most frequently occurring. No specific time range for the data itself is mentioned, and the dataset is not expected to be updated.License
CC0: Public Domain
Who Can Use It
- Urban Planners: To analyse logistics networks and their impact on urban development.
- Geospatial Analysts: For mapping and spatial distribution studies of commercial facilities.
- Logistics and Supply Chain Professionals: To identify DHL presence, assess market reach, or benchmark against competitor networks.
- Data Scientists and Researchers: For studies on infrastructure, service distribution, or location-based analytics.
- Businesses: To inform decisions related to shipping, delivery, and point-of-sale locations.
Dataset Name Suggestions
- DHL Global Facilities Database
- DHL Courier Service Locations
- International DHL Logistics Hubs
- DHL Facility Metadata Collection
Attributes
Original Data Source: DHL Facility Metadata Collection
QUALITY