TCPD-PPI · PPI

TCPD Political Parties of India (PPI)

TCPD-PPI is used to assign stable party IDs across renames for Indian national and assembly election research.

Open downloadGitHub repoCore referenceMedium
Host / institution

GitHub · Trivedi Centre for Political Data, Ashoka University

Geography

India, national and state elections

Time coverage

1962–present (party registry)

Update frequency

Versioned GitHub releases

What this is best for

Stable party identifiers across renames for Indian national and assembly elections

Main limitations

Party registry—not full candidate microdata (pair with Lok Dhaba / MyNeta)

Quick answers

Short research-facing answers derived from this catalog record.

What is TCPD-PPI used for?
Stable party identifiers across renames for Indian national and assembly elections
How do you access TCPD-PPI data?
TCPD-PPI is labeled “Open download” on this guide. Open the access portal or documentation links on the record for the current host process—do not assume open download if registration or a DUA is required.
What geography and time does TCPD-PPI cover?
Geography: India, national and state elections. Time coverage: 1962–present (party registry).
What are the main limitations of TCPD-PPI?
Party registry—not full candidate microdata (pair with Lok Dhaba / MyNeta)

Guides for using this data

Official portals, user guides, codebooks, and tutorials for access and analysis.

2 links

Variables4

Representative fields from GitHub materials (confirm full dictionary on the official portal). Representative fields for the page table — verify the full dictionary on the official site.

Open official dictionary
Name / codeDescription
party unique IDParty unique ID
party name / abbreviation historyParty name / abbreviation history
statusStatus
electoral history summariesElectoral history summaries
Formats

CSV · codebook

Technical tags
githubreferenceopen download
Example uses
Typical research and analysis uses for this dataset

Party continuity, mergers, and longitudinal election joins

Pairs well with

Many Indian data problems need survey + administrative combinations.