OpenStreetMap points of interest
OpenStreetMap / Overpass API
In a RepVector build, this dataset covers connectivity, transport and utility conditions in a territory.
What this dataset is
Named physical locations within a radius of a point — any category OSM maps, from schools and warehouses to restaurants, clinics, retail and industrial sites. Answers 'what is actually on the ground here', including categories no government dataset covers. It is published by OpenStreetMap / Overpass API and can be queried at point level, refreshed continuously edited. Each row is an individual entity — an organisation, site or practitioner — so results can be filtered, routed and turned directly into a call list.
Why it is useful
- Explains service delivery constraints such as broadband availability for telehealth.
- Informs realistic coverage planning across rural geographies.
Questions it helps answer
- Can this market support the delivery model I am selling?
How different verticals use it
RepVector is vertical-agnostic: this dataset is selected by what your question asks for, not by industry. These are common ways teams put it to work.
Checks connectivity before committing to a cloud or telehealth rollout.
Reads network and capacity conditions across the service area.
Qualifies which markets can support virtual care delivery.
Assesses the physical and digital backbone of a route network.
How RepVector uses it
- You describe a market in plain language. The geography resolver turns the place you named into the exact identifiers this dataset needs — city to county to state, plus DMA where relevant — so a query at point runs without you knowing any codes.
- The planner selects OpenStreetMap points of interest only when your question matches what it actually reports. It is never included to pad a result.
- Returned rows are normalised into the shared metric layer, so figures from OpenStreetMap / Overpass API line up with every other source in the same dashboard instead of sitting in an isolated table.
- Quality checks score coverage and recency. If OpenStreetMap / Overpass API suppresses or omits a value for your geography, the gap is reported as a gap — nothing is estimated or filled in.
- The result renders as charts, KPIs and, where the rows are entities, prioritised targets you can export to PDF, Excel, CSV or JSON.
What it does not tell you
- Reported at coarse grains and updated infrequently.
How it fits with the rest of the catalog
Infrastructure limits are only actionable when read against where people and sites actually are. RepVector queries every selected dataset against the same resolved geography and time window, then normalises the results into one metric layer so they can be charted side by side. These datasets are the most common companions to OpenStreetMap points of interest:
Other infrastructure datasets
Common questions
What does OpenStreetMap points of interest contain?
Named physical locations within a radius of a point — any category OSM maps, from schools and warehouses to restaurants, clinics, retail and industrial sites. Answers 'what is actually on the ground here', including categories no government dataset covers. It is published by OpenStreetMap / Overpass API at point grain.
How often is it refreshed?
OpenStreetMap / Overpass API publishes on a continuously edited cycle. RepVector re-reads the source on that cadence and keeps every prior capture, so you can see what changed.
Do I need an account to use it?
No. Browsing the catalog and the free lookup tools needs no account. Running a full market build across every county in a territory is the paid product.
Build the list for one county and see whether the names are right.
Ask in plain language. RepVector finds the universe, enriches each target from its own website, scores it 0–100, and hands you a ranked call list with phones, addresses and named contacts.
3 free runs — no card required.