pmgsy data as map files

Pradhan Mantri Gram Sadak Yojana (PMGSY) data as GEOJSON files curated in the interest of data community.

Data source: http://omms.nic.in/ (Other details -> Facilities)

Data pipeline

I updated district names in the PMGSY data to match the shapefiles.

Step 1 - Download data

Step 1a - Download state-specific PMGSY data

Pick a state, download data for all districts as an excel file.

Step 1b - Download all shapefiles for states

This is a one time step. I used covid19india's map files.

Step 2 - Filter data

Pick only data-specific rows

Step 3 - Convert to CSV

import pandas as pd

# these are columns with no data but are artifacts from excel formatting
ignore_cols = ['Unnamed: 1', 'Unnamed: 14', 'Unnamed: 15']
df = pd.read_csv('state-file.xlsx')

# create a CSV
df.drop(ignore_cols, axis=1).to_csv('state-file.csv', index=False)

Step 4 - Create GEOJSON

Step 4a - QGIS

Import state map file into QGIS as a layer. Simply drop the map file directly into QGIS. This is more for reference to see how well the PMGSY data points map to the state regions.

To add PMGSY data, Layer -> Add Layer -> Add Delimited text layer

Select the csv file prepared above. Pick longitude for X and latitude for Y attributes. Some points may lie outside of the regions, I retained them (didn't delete anything).

Once the points layer is ready for export, right-click on the points layer -> Export -> Save Features as -> GeoJSON format, set a file name and export. I went with the default export options.

District naming convention

There are a few name mismatches between PMGSY data and the shapefiles. I assumed shapefiles names as ground truth and renamed PMGSY data accordingly.

If you notice a name mapping mismatch please reach out. I'll fix it.

Andhra Pradesh

Nellore -> S.P.S. Nellore
Kadapa -> Y.S.R. Kadapa

Arunachal Pradesh

Dibang Valley -> Upper Dibang Valley
Kamale -> Kamle
Pakke kessang -> Pakke Kessang

Assam

Kamrup Rural -> Kamrup
Kamrup Metro -> Kamrup Metropolitan
N.C. Hills -> Dima Hasao

Biswanath, Charaideo, Hosai, Majuli, South Salmara Mankachar, West Karbi Anglong districts data isn't available yet on PMGSY.

Chhattisgarh

Bilaspur is divided into Bilaspur and Gaurella Pendra Marwahi but united Bilaspur is present in the maps repository.

Telangana

Jagitial -> Jagtial
Jayashankar Bhoopalapally -> Jayashankar Bhupalpally
Komarambheem Asifabad -> Kumurambheem Asifabad
Mahaboobnagar -> Mahabubnagar
Ranga Reddy -> RangaReddy
Yadadri Bhongiri -> Yadadri Bhuvanagiri

Hyderabad district data isn't available yet on PMGSY.

Maharashtra, Madhya Pradesh, Uttar Pradesh files are larger than 25 MB and hence aren't uploaded here.

Shape files

Andhra Pradesh - covid19india
Telangana - Telangana open data portal

License

PMGSY data is shared under the Government Open Data License - India, link

Shapefiles are shared under MIT license (the entire repository is shared as such with no another license for maps)

bkamapantula / pmgsy