Hey

You can check this:

 https://garudadevdataservices.github.io/indian_mlas/



On Tue, Mar 3, 2026, 5:28 PM Pranjay Parashar <[email protected]>
wrote:

> Hi DataMeet community,
>
> I’m Pranjay Parashar, founder of Stats&Data. We are an organization
> specializing in political, social, and electoral data analysis. Recently,
> our work has focused heavily on conducting and tracking opinion polls
> across the US, the UK, and the Indian elections.
>
> As we dive deeper into granular electoral analysis for India, we are
> working on a project that requires a master map of all ~4,120 Indian
> Assembly Constituencies (Vidhan Sabha). Because we rely heavily on tools
> like Flourish to publish our data visualizations, we need this boundary
> data to be in highly optimized, lightweight GeoJSON or TopoJSON formats.
>
> I know this community has done incredible foundational work compiling the
> base shapefiles in the datameet/maps repositories. Before we try to
> reinvent the wheel, I wanted to ask the group for advice on a few specific
> challenges:
>
> 1.Recent Delimitations: Has anyone already compiled a unified nationwide
> dataset that includes the post-delimitation boundaries for Jammu & Kashmir
> (2022) and Assam (2023)?
>
> 2.Web Optimization: When converting the heavy ECI/Survey of India
> shapefiles down to web-friendly sizes (ideally under 5MB), what workflows
> or scripts are you using to simplify the geometries without breaking the
> shared topology between constituencies?
>
> 3.Existing Repos: If a clean, web-ready dataset with standard metadata
> (State Name, AC Name, AC Number) already exists for the most recent
> electoral map, could someone point me in the right direction?
>
> Any advice on tools (QGIS workflows, Mapshaper, GeoPandas scripts) or
> links to updated forks would be hugely appreciated.
>
> Thanks for your time and for all the great open-source work this group has
> already done!
>
> Best,
> Pranjay Parashar
>
> Founder, Stats&Data
> https://statsanddataglobal.com/
>
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>

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