Assembly Elections Data at Candidate Level
The dataset provides detailed information on assembly elections across various states and assembly constituencies of India. It captures information about individual candidates, including their names, parties, vote counts, and relative performance in the elections. The dataset further encompasses details about each assembly constituency, such as its type, total electors, voter turnout percentage, and more, offering a comprehensive view of the election dynamics over multiple years.
Dicionario de datos
- ID
- id
- Tipo
- int4
- Etiqueta
- index
- ID
- year
- Tipo
- text
- Etiqueta
- Year
- ID
- month
- Tipo
- text
- Etiqueta
- Month
- ID
- state_name
- Tipo
- text
- Etiqueta
- State Name
- ID
- state_code
- Tipo
- text
- Etiqueta
- State Code
- ID
- assembly_no
- Tipo
- numeric
- Etiqueta
- Assembly No
- ID
- ac_name
- Tipo
- text
- Etiqueta
- Assembly Constituency Name
- ID
- ac_type
- Tipo
- text
- Etiqueta
- Assmebly Constituency Type
- ID
- candidate_name
- Tipo
- text
- Etiqueta
- Candidate Name
- ID
- sex
- Tipo
- text
- Etiqueta
- Sex
- ID
- age
- Tipo
- numeric
- Etiqueta
- Age
- ID
- candidate_type
- Tipo
- text
- Etiqueta
- Candidate Type
- ID
- party
- Tipo
- text
- Etiqueta
- Party
- ID
- position
- Tipo
- numeric
- Etiqueta
- Position
- ID
- ac_total_candidates
- Tipo
- numeric
- Etiqueta
- Assembly Constituency Candidates
- ID
- total_electors
- Tipo
- numeric
- Etiqueta
- Total Electors in Constituency
- ID
- total_votes
- Tipo
- numeric
- Etiqueta
- Total Votes Obtained
- ID
- total_valid_votes
- Tipo
- numeric
- Etiqueta
- Total Valid Votes
- ID
- vote_share_percentage
- Tipo
- numeric
- Etiqueta
- Vote Share Percentage
- ID
- margin
- Tipo
- numeric
- Etiqueta
- Margin
- ID
- margin_percentage
- Tipo
- numeric
- Etiqueta
- Margin Percentage
- ID
- turnout_percentage
- Tipo
- numeric
- Etiqueta
- Turn out Percentage
- ID
- poll_no
- Tipo
- numeric
- Etiqueta
- Poll No
- ID
- delimit_id
- Tipo
- numeric
- Etiqueta
- Delimit Id
Información adicional
| Campo | Valor |
|---|---|
| Última actualización de datos | 23 de setembro de 2024 |
| Última actualización de metadatos | 23 de setembro de 2024 |
| Creado | 7 de outubro de 2023 |
| Formato | CSV |
| Licenza | 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 |
| 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 |
| Información adicional | 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 % |