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Schools Near Any Plot in India

How far is the school run? Drop a pin or draw the plot — schools and pre-primary within 3 km, with the nearest international or CBSE school called out even when it is further away.

Why school access matters for land

The school run happens twice a day, every working day, for years — the single most repeated journey a family with children makes. Land that families can live on sells to families; land that is a 40-minute drive from the nearest school does not.

What this tool covers

  • School: Primary through secondary level (Class 1–12 or state equivalent). This is the tier the verdict is based on. Government, aided and private institutions alike.
  • Pre-primary: Kindergartens, preschools and creches. Mapped and counted, but never the headline — a creche next door does nothing for a school-age child.
  • Colleges and universities are not here. They moved to their own tool with a 10 km radius, because a student commutes further than a child and one radius could not serve both honestly.

You see the actual campus, not just a pin

Most schools in our data are mapped with their full campus outline — not just a marker at the gate. On the map you’ll see the actual school grounds drawn in. If your plot is right next to a school compound, that’s obvious at a glance — and you can see exactly where the compound’s boundary runs relative to your land.

School proximity and land value

  • Plots within 500m of a recognised school carry an 8–15% premium over equivalent plots 2–3 km away in most Indian cities.
  • Two layers answer the question: curated OpenStreetMap schools, which we store and export, plus a live Google layer for the schools that exist on the ground but not yet on the owned map.
  • For plotted developments, RERA in most states requires the developer to disclose the nearest school and its distance in the project brochure.

What do these numbers mean?

The card leads with the distance to the nearest school and how much schooling sits around your plot.

Nearest school
Straight-line distance to the nearest school — primary through secondary. This is what the verdict is based on, because it is the tier that decides where a family with school-age children can live. Distance is measured to the campus boundary, not its centre.
Verdict: <1 km Good · 1–3 km Moderate · 3–5 km Limited · >5 km Remote
Pre-primary, shown but never counted
Kindergartens, preschools and creches are mapped and included in the totals, but they never set the headline distance or the verdict. A creche 200 m away does nothing for a nine-year-old.
Watch for: “Only pre-primary nearby” — schooling for older children means a longer trip.
Nearest international / CBSE school
Searched to 30 km whatever your radius, and shown even when it falls outside it. For many buyers this is the question that decides the plot, and “none within 3 km” is not an answer to it.
Note: counts at 5, 10 and 15 km come with it; “20+” means the live search hit its result cap.
How many within the radius
The count and list within your search radius, nearest first and each with its type, so you can judge whether there is real choice or only one option. Pre-primary is included in this count.
Example: “12 within 3 km” — a settled residential area with room to choose.

How the analysis works

Mark the plot, get the result in under a second.

1

You mark the plot

Draw the exact boundary on the map, drop a pin at the centre, or paste an address. Works for any plot size, anywhere in India.

2

Owned base, plus a fresh layer

We read the curated OpenStreetMap school layer, then add live Google results filtered for noise. Schools follow housing, and new plots sit where community mapping is still thin — so on a peri-urban plot the live layer is often the whole answer.

3

Measured from your boundary

Distance is measured to the edge of the campus, not its centre, so a plot adjoining a school compound reads effectively zero. Schools mapped with their full grounds appear as outlines; the rest as circle markers. Pre-primary is drawn and counted, but never sets the headline.

Methodology and data sources

For those who want the technical detail.

A curated base, plus a fresh filtered layer

The base is OpenStreetMap education data via the Humanitarian OpenStreetMap Team — schools and kindergartens, ingested all-India as points and campus polygons. It is stored, mapped, and it is what the GeoJSON download contains. Colleges and universities are a different decision and live in their own tool.

OpenStreetMap contributors / HOT (ODbL)Google Places (live)

Why a live Google layer — and how the noise is handled

OpenStreetMap school coverage is good in towns and cities but under-maps new and rural schools — which is exactly where new plots are sold. A live Google lookup fills that gap.

The cost is noise. Google files a great many non-schools under its school types: music and chess instructors, day-care agencies, coaching centres, online “study at home” services. The layer is therefore filtered by category, by review count and by name. Some will still slip through.

Google results are display-only — shown per Google policy, never stored and never exported. Each search returns at most 20 places, so the live layer is a sample, not a complete list. Green markers are OpenStreetMap (owned, exported); amber are Google (live, display-only), and the two are numbered in separate sequences.

Distances

Measured from your plot geometry to the campus boundary, not its centre — so a plot adjoining a school compound reads effectively zero. Straight-line, not driving distance: a river, a rail line or a highway between the plot and the school can make the real journey far longer than the number shown.

Verdict

A daily-school-run heuristic on the nearest school, with pre-primary excluded: within 1 km good, 1–3 km moderate, 3–5 km limited, beyond 5 km remote. It is a convenience heuristic, not a cited standard.

It says nothing about school quality — not board results, fees, medium of instruction or reputation. No open dataset carries reliable school quality for India, so treat this as “is schooling within reach”, then judge the individual schools yourself.

Frequently Asked Questions

Why are colleges and universities no longer in this tool?
Because the two answer different questions at different distances. A family choosing where to live weighs a school 2 km away very differently from one 6 km away; for a college, 10 km is often unremarkable because students commute. Folding both into one radius meant either a school search too wide to be useful or a college search too narrow to find anything. Colleges and universities now have their own tool with a 10 km radius.
Why is pre-primary shown but not counted?
Kindergartens, preschools and creches are mapped and included in the totals, but they never set the headline distance or the verdict. A creche 200 m away does nothing for a nine-year-old. If the card says “Only pre-primary nearby”, schooling for older children means a longer trip.
What is the international / CBSE spotlight?
The nearest International or CBSE school, searched to 30 km whatever your radius, and shown even when it falls outside it. For many buyers this is the question that decides the plot, and “none within 3 km” is not an answer to it. Counts at 5, 10 and 15 km come with it; “20+” means the live search hit its result cap.
Where does the school data come from?
Two layers. The base is curated OpenStreetMap school data — ours to store, map and export, carrying campus outlines rather than single points. On top is a live Google layer, filtered for noise. Schools follow housing, and new plots are usually in areas where community mapping is still thin, so on a peri-urban plot the live layer is often the whole answer.
Does this tell me if the schools are any good?
No, and we will not pretend otherwise. This measures distance and how many options exist — not board results, fees, medium of instruction or reputation. No open dataset carries reliable school quality for India. Treat it as “is schooling within reach”, then judge the individual schools yourself.
Why two sources?
OpenStreetMap is a rich, exportable base, but community mapping is thin exactly where new plots are proposed. A filtered live-Google layer catches schools that exist but are not mapped yet. Green markers are OpenStreetMap (owned, exported); amber are Google (live, display-only), and the two are numbered in separate sequences.
Why are the Google results not in the download?
The Google Maps Platform terms do not permit storing or redistributing Places data. The GeoJSON download contains your plot and the OpenStreetMap schools, which are data we hold and are free to give you. The report says so on the table itself.
How is the verdict decided?
By the daily school run, on the nearest real school: within 1 km is good, 1–3 km moderate, 3–5 km limited, and beyond 5 km remote. It is a convenience heuristic, not a cited standard, and it says nothing about school quality — only about distance.

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