Data Dictionary

Mer information

Fält	Värde
Data senast uppdaterad	23 september 2024
Metadata senast uppdaterad	19 december 2025
Skapad	7 oktober 2023
Format	CSV
Licens	Open Data Commons Attribution License
Additional info	nan
Data extraction page	https://eci.gov.in/statistical-report/statistical-reports/
Data insights	Here are five potential insights: Trends Over Time: Analyze how voter turnout, party popularity, or the number of candidates contesting in elections has evolved over the years. This can provide insights into the changing political landscape and voter engagement. Dominant Parties by State: Identify which parties have been dominant in specific states over the years. For instance, you can determine which parties have consistently secured the highest vote shares or won the most seats in each state. Candidate Demographics: Explore the demographics of the candidates, such as the distribution of age and gender across different states or parties. This can offer insights into the diversity and representation within the political landscape. Competitive Constituencies: Identify which assembly constituencies are highly competitive (i.e., where the winning margin is consistently low). These areas can be focal points for future campaigns as small shifts in voter sentiment can lead to seat changes. Voter Engagement: Analyze the correlation between the number of candidates contesting in a constituency and voter turnout. This can provide insights into whether a higher number of candidates inspire greater voter participation or if it's the other way around.
Data last updated	31-03-2023
Data retreival date	30-04-2023
Datastore active	True
District no	654
Frequency	quinquennial
Geo columns	['state_code']
Gp no	0
Granularity	Assembly Constituency
Has views	True
Id	a3d7b841-90df-41dc-b786-95e9eb9cf7d0
Idp ready	True
Lgd mapping	yes
Methodology	Election Commission of India (ECI) provides detailed statistical reports at candidate level once the elections are completed. This dataset is a consolidation of such reports after each election across the years and states in India.
Mimetype	text/csv
No indicators	14
Package id	019ee7b0-ca60-47b0-b33c-ce247a6b7668
Position	0
Size	19,2 MiB
Sku	eci-assembly_election_results-ac-qq-cfo
State	active
States uts no	32
Tags	['elections', 'assembly', 'state elections', 'MLA']
Tehsil no	0
Url type	upload
Village no	0
Years covered	2009-2021
Methodology	Election Commission of India (ECI) provides detailed statistical reports at candidate level once the elections are completed. This dataset is a consolidation of such reports after each election across the years and states in India.
Indicators
Similar Resources
Granularity Level	Assembly Constituency
Data Extraction Page	https://eci.gov.in/statistical-report/statistical-reports/
Data Retreival Date	30-04-2023
Data Last Updated	31-03-2023
Sku	eci-assembly_election_results-ac-qq-cfo
Dataset Frequency	quinquennial
Years Covered	2009-2021
No of States/UT(s)	32
No of Districts	654
No of Tehsils/blocks	0
No of Gram Panchayats	0
Mer information	nan
Number of Indicators	14
Insights from the dataset	Here are five potential insights: Trends Over Time: Analyze how voter turnout, party popularity, or the number of candidates contesting in elections has evolved over the years. This can provide insights into the changing political landscape and voter engagement. Dominant Parties by State: Identify which parties have been dominant in specific states over the years. For instance, you can determine which parties have consistently secured the highest vote shares or won the most seats in each state. Candidate Demographics: Explore the demographics of the candidates, such as the distribution of age and gender across different states or parties. This can offer insights into the diversity and representation within the political landscape. Competitive Constituencies: Identify which assembly constituencies are highly competitive (i.e., where the winning margin is consistently low). These areas can be focal points for future campaigns as small shifts in voter sentiment can lead to seat changes. Voter Engagement: Analyze the correlation between the number of candidates contesting in a constituency and voter turnout. This can provide insights into whether a higher number of candidates inspire greater voter participation or if it's the other way around.
IDP Ready	Yes
LGD Mapping	Yes
Mapping Status %
Geo Columns	['state_code']