Demographic
Population, age, income, household size — segmented by pincode and street level.
SmartData · Curated geospatial datasets
The data behind India's best location decisions.
Demographic, business, footfall, spend, boundaries, and roads — curated to operator standards, refreshed daily, and delivered exactly how your stack needs it: API, bulk, or tiles.
Demographic
Business POIs
Footfall
Spend Capacity
Boundaries
Roads
- 20M+business POIs
- 10K+datasets curated
- Pincodelevel granularity
- Dailyrefresh cycle
Datasets
Six dataset families. Production-grade.
Business POIs
20M+ verified establishments across India. Categorised, geocoded, and refreshed.
Footfall
Anonymised mobility patterns by hour and weekday. Quantify catchment and dwell.
Spend Capacity
Category-wise consumption indices by pincode — apparel, F&B, durables, services.
Boundaries
Admin boundaries — state, district, taluka, ward, pincode. Aligned to government datasets.
Routing & Roads
India road network with speed limits, restrictions, and one-way attributes.
Delivery
Pick the format. We handle the rest.
API
REST endpoints with rate limits, auth, and SDKs for Node, Python, and Go.
Bulk download
Shapefile, GeoJSON, GPKG, CSV — all standard GIS formats supported.
Tile services
XYZ vector and raster tiles, ready for Mapbox, Leaflet, OpenLayers, MapInfo.
BI integrations
Tableau, Power BI, Looker connectors for direct geo-analytics.
Where teams use it
Retail, BFSI, real estate, public sector — same data, different questions.
SmartData powers the location decisions inside India's largest banks, retail chains, and infrastructure programmes. Whatever question you're trying to answer, we have the layers.
- Site selection — retail, banking, F&B catchment analysis
- Distribution network design — beat planning, route-to-market
- Insurance & risk — exposure modelling and claim assessment
- Real estate — micro-market price benchmarking
- Public sector — citizen service planning and digital governance
Tell us what you're trying to decide.
We'll point you to the right dataset and a sample within a working day.
Contact data team →