In this map dataset, West Champaran has roughly 11.3 times the mapped area of Sheohar.
A name is not a unit of size
A district directory gives every name roughly the same amount of space. A map does something different. It shows that the geographic units behind those names have very different footprints.
To examine that difference, we measured all 38 Bihar district polygons in one version of the geoBoundaries dataset. Keeping the source and method constant matters: combining official areas from different websites with measurements from a map would create an uneven comparison.
Measure the ground, then ask the question
The chart below compares the five largest and five smallest mapped footprints in this dataset. All bars begin at zero and share the same scale. The measurements use the full retained precision; display labels are rounded to the nearest square kilometre.
The calculation answers a narrow question about this particular set of shapes. It does not tell us how many people live inside them, how far a resident must travel, or which district has greater need. A large footprint is not a population estimate.
Why the outline matters
It is tempting to divide a count by whatever area is easiest to find. But a density calculation needs an area that describes the same boundary and reference period as that count. A 2011 population and a later polygon cannot automatically be treated as a matched pair.
That is why this first atlas keeps geographic measurements separate from demographic data. It is more useful to preserve a clear definition than to fill every available space with a number.
Read a map with its margin notes
Even the source needs a margin note. Its metadata reports 736 Indian administrative features, while the downloaded simplified file contains 735. Our explicit Bihar crosswalk matches 38 unique shapes, but that national discrepancy remains unresolved. We disclose it rather than quietly treating the metadata as an independent count check.
These shapes are intended for exploration. Simplification removes detail and can change measured area. The resulting numbers are approximate; they should not be used to settle administrative, land, legal or engineering questions.
The interesting finding is the difference in scale within one consistently measured atlas. The next useful step is a question, not a conclusion: what other evidence would help us understand the places inside these outlines?
Ten outlines, one scale.
Five largest and five smallest calculated areas · km² · source geography 2021
Read chart values as a table
| District | Area (km²) |
|---|---|
| West Champaran | 5,213.9 |
| Gaya | 5,010.4 |
| East Champaran | 4,208.6 |
| Rohtas | 3,893.7 |
| Madhubani | 3,505.7 |
| Lakhisarai | 1,167.7 |
| Jehanabad | 846.2 |
| Arwal | 612.5 |
| Sheikhpura | 521.4 |
| Sheohar | 461.8 |
Evidence & method
Calculate the geodesic area of each simplified district polygon with Turf area, divide square metres by one million, and sort the unrounded results.
Ratio: 5,213.9 ÷ 461.8 = 11.3. The ratio uses unrounded values.
Source: geoBoundaries · India district boundaries, built 12 December 2023, retrieved 25 October 2026. Underlying boundaries: Pathways Data Pvt. Ltd. / lgdirectory.gov.in. ODbL 1.0.
- These are calculated areas from simplified 2021 source geometry, not official administrative area figures.
- Shape size says nothing about population, public services, wealth or historical importance.
- The source geography is not a certification of present-day boundaries.
Complete methodology · Download the underlying records ↓ · Source register
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