Data Dictionary

Column Type Label Description
id int4 index
year numeric Year
month numeric Month
state_name text State Name
state_code numeric State Code
ac_name text Assembly Constituency Name
ac_type text Assmebly Constituency Type
candidate_name text Candidate Name
sex text Sex
age numeric Age
candidate_type text Candidate Type
party text Party
position numeric Position
total_electors numeric Total Electors in Constituency
total_votes numeric Total Votes Obtained
total_valid_votes numeric Total Valid Votes
vote_share_percentage numeric Vote Share Percentage
margin numeric Margin
margin_percentage numeric Margin Percentage
turnout_percentage numeric Turn out Percentage

Additional Information

Field Value
Data last updated June 5, 2024
Metadata last updated June 5, 2024
Created unknown
Format CSV
License No License Provided
Created5 months ago
FrequencyOther
Size109,070
Additional infonan
Data extraction pagehttps://eci.gov.in/statistical-report/statistical-reports/
Data insightsCertainly! Here are some updated data insights based on the Assembly Elections Data at Candidate Level for Meghalaya:1. Voter Turnout and Party Popularity: Analyze the trends over time to understand how voter turnout correlates with the popularity of different political parties in Meghalaya. This analysis can reveal shifts in voter engagement and party support over the years.2. Candidate Demographics and Representation: Explore the demographics of candidates contesting in Meghalaya, including age, gender, and ethnic backgrounds. Understanding the diversity of candidates can provide insights into the representation within the state's political landscape.3. Competitive Constituencies and Winning Margins: Identify the constituencies with consistently low winning margins to pinpoint areas of high competition. This analysis can help political parties and candidates focus their efforts on constituencies where small shifts in voter sentiment can significantly impact election outcomes.
Data last updated31-03-2023
Data retreival date30-04-2023
Datastore activeTrue
Gp no0
GranularityAssembly Constituency
Has viewsTrue
Id1eaa2ee7-9cf3-4f7a-851d-6a3bc69cb959
Idp readyTrue
MethodologyElection 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.
No indicators14
Package id49c695e8-4097-4090-9e9e-727b1ed6980f
Position0
Skueci-assembly_election_results-ac-qq-meg
Stateactive
States uts no1
Tehsil no0
Url typeupload
Years coverednan
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.
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-meg
Dataset Frequency
Years Covered nan
No of States/UT(s) 1
No of Districts
No of Tehsils/blocks 0
No of Gram Panchayats 0
Additional Information nan
Number of Indicators 14
Insights from the dataset Certainly! Here are some updated data insights based on the Assembly Elections Data at Candidate Level for Meghalaya:1. Voter Turnout and Party Popularity: Analyze the trends over time to understand how voter turnout correlates with the popularity of different political parties in Meghalaya. This analysis can reveal shifts in voter engagement and party support over the years.2. Candidate Demographics and Representation: Explore the demographics of candidates contesting in Meghalaya, including age, gender, and ethnic backgrounds. Understanding the diversity of candidates can provide insights into the representation within the state's political landscape.3. Competitive Constituencies and Winning Margins: Identify the constituencies with consistently low winning margins to pinpoint areas of high competition. This analysis can help political parties and candidates focus their efforts on constituencies where small shifts in voter sentiment can significantly impact election outcomes.
IDP Ready Yes