Download the SHRUG
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What is the SHRUG?
The SHRUG is an easily linkable dataset covering a wide range of socioeconomic variables in India. Some highlights:
- Open-source geometries at the village- and town-level based on 2011 Census polygons.
- Socioeconomic data covering a huge range of dimensions, all linked with the same identifiers.
- All data is available at the subdistrict, district, constituency, town, and village level.
- The only large-scale socioeconomic data at the level of assembly constituencies.
- Everything merges cleanly and easily.
The essential unit of observation of the shrug is
the shrid, which is a village or town
unit with consistent boundaries since 1991. We put in
a ton of work to reconcile boundary changes across
censuses. Villages and towns merge and split; shrids
are aggregated units that keep the same boundaries
across all periods. You can read more about how we did
this in the SHRUG paper.
The variables are grouped into different modules
based on the data source and subject matter, and
each module can be independently downloaded from
links provided below. Each download link contains
flat data tables at all available geographic
levels (e.g. village, town, constituency). You can
merge at any geographic level you wish using the
appropriate key in the core keys module. Many
SHRUG variables can be interactively visualized
using the SHRUG Atlas.
If you are using previous versions, we recommend you download version 2.0 or newer. v.1.5 Samosa shrid IDs do not match to 2.0 Pakora, and many other improvements have been made.
For more information, please see:
- The SHRUG landing page
- The SHRUG documentation and metadata site
- Our SHRUG tutorials
- Search all SHRUG variables
- Learn more about SHRUG location units and imputation
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Visit the SHRUG GitHub repository for release notes and to file a bug report or feature request. For older versions of the data, visit the Harvard Dataverse. Ignore the Harvard Dataverse version header which is Harvard’s own numbering system.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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