Geocoded Address Data Powering Global Location Intelligence
Structured geocoded address data with precise coordinates. Built for analytics, routing, and geospatial applications.
Challenges with Address Data Coverage and Quality
Global address data is fragmented. Many regions lack structured, geocoded addresses, limiting the accuracy of geospatial analysis and logistics operations.
Sparse or incomplete address data
Inconsistent address formatting
SafeGraph addresses these gaps with a structured geocoded address database designed for hard-to-source markets.
Built for Advanced Analysis
Every record is parsed into discrete address fields and paired with precise geographic coordinates, ready for ingestion into your data warehouse.
- Parsed address components (street, city, region, postal code)
- Accurate address data with latitude and longitude
- Structured and verified address records designed for reliable geocoding
- Multi-script support for international addresses
- Flat-file delivery for warehouse ingestion
- Consistent schema across countries
Core Capabilities of the SafeGraph Address Dataset
Improve Routing and Location Accuracy
Power routing and spatial analysis with precise address coordinates.
Integrate with Analytics Pipelines
Load address data directly into warehouses for large-scale geospatial analysis.
Validate Address Coverage at Scale
Identify missing addresses and perform bulk address validation across markets.
Support Global Address Workflows
Handle international address formats with multi-script support.
Address Data Across Hard-to-Source Markets
SafeGraph’s geocoded address dataset covers 35+ countries, with particular depth in markets where reliable address data is traditionally sparse or fragmented.
Coverage includes:
- Balkan countries, including Bulgaria
- Eastern Europe and Black Sea corridor, including Turkey
- Mediterranean: Albania
- MENA: Morocco
- Other geographies where mainstream address sources have limited coverage
How Organizations Use SafeGraph Address Data
Teams across logistics, mapping, and geospatial analytics use SafeGraph geocoded address data to improve operational accuracy and strengthen geocoding systems.
Logistics and Delivery
SafeGraph address data helps logistics teams:
- Perform bulk address validation
- Identify missing addresses in service zones
- Improve routing precision with verified coordinates
- Validate address coverage before expanding service areas
- Reduce failed deliveries caused by incomplete address data
Pricing Based on Data Scope
Common uses include:
- Expanding candidate datasets for geocoding APIs
- Supporting batch geocoding workflows
- Enriching internal geocoded address databases
- Providing ground-truth coordinates for validation
- Improving search, autocomplete, and routing accuracy in mapping systems
Address Schema Overview
The dataset follows a consistent, flat schema designed for direct ingestion into analytical warehouses. Each field is typed and documented.
| Column Name | Description | Type | Example |
|---|---|---|---|
| primary_number | A JSON string with alphabet as key. Value: A primary numeric identifier for the building. | JSON | { "latin": "4700" } |
| sub_building | A JSON string with alphabet as key. Value: Combined secondary designators (Ste, Unit, Bldg, Block). | JSON | { "latin": "Unit 1105" } |
| building_name | A JSON string with alphabet as key. Value: The name of the building. | JSON | { "latin": "Eaton" } |
| street | A JSON string with alphabet as key. Value: All street components combined. | JSON | { "latin": "Main Street" } |
| intermediate_locality | Additional details associated with locality like subdivision, neighborhood, or village. | JSON | { "latin": "Hohenlimburg" } |
| locality | Subdivision or district within a city. | JSON | { "latin": "Repto Robles" } |
| city | The city of the point of interest. | JSON | { "latin": "Clearwater" } |
| sub_region | Second largest administrative division in a country. | JSON | { "latin": "Tom" } |
| region | State, province, or county of the location. | JSON | { "latin": "Pinellas" } |
| postal_code | The postal code of the location. | JSON | { "latin": "12235" } |
| full_address | The full unparsed address from the source. | JSON | { "latin": "1680 Campbell Ln Bowling Green KY 42104-1062" } |
| iso_country_code | 2-letter ISO country code. | String | US |
| latitude | Latitude coordinate of the address. | Float | 36.714767 |
| longitude | Longitude coordinate of the address. | Float | 121.662912 |
Address Data Designed for Modern Data Infrastructure
SafeGraph address data integrates easily with modern analytics and geospatial infrastructure.
FAQ’s
What is a geocoded address dataset?
A geocoded address dataset contains structured address records paired with geographic coordinates such as latitude and longitude.
How is this different from a geocoding API?
Geocoding APIs resolve addresses one at a time through a live request. That works for individual lookups but can become expensive at scale. SafeGraph delivers a flat file you load directly into your warehouse, so you can run bulk address validation and analysis without rate limits or live dependencies.
Can the dataset support batch geocoding?
SafeGraph’s flat file format makes it well-suited for batch workflows. You can validate large address lists, fill in missing coordinates, and run coverage analysis across entire service areas directly from your warehouse, without managing API calls or hitting rate limits.
Does the dataset include latitude and longitude?
Yes, the SafeGraph Address dataset does include latitude and longitude for every record. Unlike a standard geocoding API that processes lookups one by one, this dataset provides these coordinates in a structured flat-file format.
How is the dataset delivered?
SafeGraph delivers its geocoded address data as a flat-file (typically CSV or Parquet) designed for direct ingestion into modern data infrastructure.