Hourly and daily trip counts between municipalities and census tracts, by distance band and likely mode, built from aggregated mobile signals and suppressed below k = 20.
Data product · Listing updated 11 Nov 2026
Portugal, Spain
Daily files with a 3-day lag
About 36,000 census tracts; 2.8 billion origin–destination rows
Mid-market, Enterprises, Public sector, Academia and research
Aggregated telecom network events, calibrated with census and travel-survey statistics
Trip detection run by the telecom partner on its own systems; Plazuela receives aggregated zone counts only
Zone-to-zone travel flows for transport planners, logistics teams and researchers.
Trip counts between origin and destination zones at municipality level for both countries and census-tract level for Spain's largest metro areas, by date and hour. Each flow is split by distance band, likely mode (road, rail or air) and broad trip type (home to work, other regular trips, occasional trips). Zone geometries and a lookup to official codes are included.
Stay-point and trip detection is run by our telecom partner inside its own systems; Plazuela receives only aggregated zone-to-zone counts and never sees individual devices, routes or home locations. Counts are expanded to the resident population using census weights, and any flow based on fewer than 20 distinct devices is suppressed and marked. Mode is inferred from speed and network topology and should be read as an estimate. Data is delivered daily with a three-day lag, with history from 2020 for municipalities and 2022 for census tracts.
11 fields as documented by Plazuela Mobility Analytics.
| Field | Type | Description | Example |
|---|---|---|---|
| date | date | Travel date | — |
| hour | integer | Hour of departure, 0–23 | — |
| origin_zone_id | string | Origin municipality or census tract | — |
| destination_zone_id | string | Destination municipality or census tract | — |
| zone_level | string | municipality or census_tract | — |
| trips | integer | Trips expanded to the population | — |
| distance_band | string | Distance band, for example 2-10 km | — |
| mode_estimate | string | road, rail or air (estimated) | — |
| trip_type | string | home_work, regular_other or occasional | — |
| confidence_band | string | high, medium or low | — |
| suppressed | boolean | True when the flow fell below the k = 20 threshold | — |
Free sample available on request
The provider sends a sample file so you can test fit and quality before you buy.
Prices in EUR, as published by Plazuela Mobility Analytics
municipality level, both countries
census-tract level with hourly detail
Converted amounts use DataStoa display rates and are approximate. Plazuela Mobility Analytics quotes the final price, taxes and terms.
Request detailed pricing2 countries.
Time coverage: 2020 to present.
Provider-reported
Latency: Daily files with a 3-day lag
DataStoa has not audited these figures. Ask the provider how they are measured, or test them on a sample.
The licence is agreed directly between you and Plazuela Mobility Analytics. This summary is provider-reported; the linked terms prevail.
Not listed: AI / ML model training, AI retrieval and grounding, redistribution allowed, marketing and outreach. Ask Plazuela Mobility Analytics if you need any of these.
Aggregated footfall and mobility flows for Spain and Portugal
Plazuela turns aggregated, anonymized mobile signals into visit counts and travel flows for Spain and Portugal. Retailers, real-estate investors and public bodies use it to compare locations and plan services.
Also available on: Databricks Marketplace
What buyers say about Plazuela Mobility Analytics. Reviews cover the provider, not only this listing.
from 1 review
Visit trends for our Madrid and Barcelona clubs tracked our own check-in data closely. In smaller towns many places fall below their privacy thresholds and return no figures, which is the right call but limits what we can compare.
Javier M., Expansion manager, Spanish fitness chain