Geodata ready to plug into your pipeline.
200+ micro-territorial variables for Spain and LATAM. REST API, CSV / Parquet / GeoJSON dataset, compatible with Python, R, SQL, and Power BI. No preprocessing required.
200+ variables, 100m grid, 1.4M cells for Spain
REST API; dataset in CSV, GeoJSON, and Parquet
Free sample with variable dictionary
The problem
How we solve it
El problema y cómo lo solucionamos
You need environmental variables for your models and end up building them from scattered public sources, with different formats and granularities.
200+ clean, documented variables on a 100m grid, using the same methodology across all covered countries.
Open data stops at census section or municipality level: too coarse to explain street-level behavior.
Access it your way: REST API for real-time enrichment, or a CSV, GeoJSON, or Parquet dataset for batch processing.
Every update forces you to redo the cleaning and joining process.
Variable dictionary and examples in Python and R: plug into your pipeline with no prior normalization work.
What you receive
01
Dataset sample
+ variable dictionary
02
API documentation
With examples in Python and R
03
Direct support
From the data team
Key features
200+ variables
Clean, documented micro-territorial variables
Granularity
100m grid (1.4M cells for Spain)
REST API
With <200ms latency for real-time enrichment
Batch dataset
In CSV, GeoJSON, and Parquet
Documentation
Complete technical documentation with examples in Python and R
Technical support
From the unica360 data team
How to integrate
API
GET/POST request with an address or coordinates → JSON with all indicators. Compatible with any language that makes HTTP requests.
Dataset
Download the full file, or filtered by variable, geographic area, or category. Annual updates for static data.
App
If you don't need technical integration, access the data through our online location intelligence application.
How it works
01
Tell us your case
Two minutes with the form. No prior calls or commitment.
02
First assessment within
48 h
We tell you whether we can help, how, and with what approach.
03
30-minute call
If it's a fit, we dive deep into your case and scope the proposal.
200+ variables · 100m grid, 1.4 million cells for Spain · Coverage in Spain, Portugal, Italy, France, and Mexico.
FAQ
What granularity does the data have?
The base is a 100m x 100m grid (1.4 million cells for Spain). For Spain, a postal code variant is also available, useful for joining with business data that uses postal codes as a reference. Other aggregations, such as municipality or census tract, are available on request.
What formats is it delivered in?
REST API (real-time queries by address or coordinates), downloadable dataset in CSV, GeoJSON, or Parquet, and an online location intelligence application for visual, no-code exploration.
What sources does it come from?
From official and open sources: INE (including the Household Budget Survey, the Living Conditions Survey, and the Survey of Household Finances), AEAT, Cadastre, Eurostat, and MITMA mobility data, complemented with POIs from directories and online APIs. On top of these sources, unica360 applies proprietary machine learning, NLP, and simulation models to produce indicators that raw data does not offer, such as income at 100m resolution or pedestrian flows by street segment.
Try it with your data.
Full API documentation and a dataset sample to evaluate the fit.