Use case · Rural and government coverage
Down to the village, across all of India
Global datasets thin out long before they reach rural India. SmartData does not. The administrative hierarchy resolves all the way down to the village, so government, smart-city and land-records teams can plan where coverage has to be complete, not approximate.
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The gap
Where coverage usually runs out
Most geospatial datasets are strong in the metros and thin to the point of useless outside them. For a private team chasing the next city, that is a tolerable trade. For a government, smart-city or land-records programme, it is the opposite of the brief: the places that need the map most are exactly the places the map forgets.
SmartData is built India-first and from primary field survey, so the depth does not stop at the city limit. The administrative hierarchy resolves down to the village, and the rural-specific layers carry on past where global datasets give up.
The hierarchy, all the way down
Populace+, state to village
- 01
36 states and union territories
The outermost tier of Populace+, the demographic and administrative spine for the whole country.
- 02
784 districts
The level most programmes are funded and reported at, mapped consistently nationwide.
- 03
7,006 tehsils
The sub-district tier where rural administration actually happens, and where most datasets stop being complete.
- 04
6,41,731 villages
The level the brief really needs: every village, not a sample, so coverage can be complete rather than approximate.
Beyond boundaries
Rural depth, not just rural boundaries
Knowing where a village sits is the start. Planning for it needs more than an outline. SmartData carries rural market profiles at the tehsil level, so socioeconomic depth reaches past the district averages that flatten rural India into a single number.
For land, agriculture and infrastructure work, the portfolio goes down to village-level soil maps, the kind of ground detail that programmes have historically had to commission survey by survey.
By the numbers
Coverage that is complete, not sampled
Where mobility is relevant
India-first transit, where the programme touches it
When a coverage mandate includes public transport, SmartData carries India-first real-time transit feeds. India's first real-time GTFS feeds were built here, for DIMTS in Delhi, WBSTC in Kolkata and Mysore City Transport, a first that is useful wherever a rural or government programme reaches into mobility.
Proof
Trusted on public-sector mandates
The public sector has put this depth to work at national scale. With Railtel and NIC, SmartData surveyed national fibre infrastructure and enhanced the country's base mapping, the kind of mandate that only holds up when the data reaches everywhere the programme does.
Take coverage down to the village.
Tell us the districts, tehsils or villages you need to reach, and we will show you the layers SmartData already holds on the ground there.
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