Candidate Dataset of 13th Bangladesh National Parliament Election 2026

Description

This dataset contains structured information extracted from the nomination affidavits (Holofnama) submitted by candidates contesting in the 13th National Parliamentary Election of Bangladesh, held on 12 February 2026. The source documents were publicly released by the Election Commission of Bangladesh, and the dataset was compiled through a manual extraction process followed by systematic standardization, normalization, and validation to ensure consistency and usability across records. The dataset preserves the information exactly as declared by the candidates in their publicly available affidavits, with no alteration beyond formatting standardization. It includes a broad range of candidate-level attributes such as personal and demographic details, electoral constituency, political party affiliation, profession, educational qualifications, annual income, movable and immovable assets, liabilities, tax-related disclosures, and participation in social activities. The final dataset is organized in both excel and tabular CSV format, where each row represents an individual candidate and each column corresponds to a specific declared attribute. This structure makes the dataset suitable for use in a wide variety of computational and social science workflows. This dataset may be useful for researchers and practitioners working in political science, governance, electoral studies, public policy, socio-economic analysis, statistical modeling, data mining, machine learning, and comparative election studies. It also provides a valuable resource for transparency and accountability research in democratic institutions. No sensitive or hidden personal information is included beyond what is already publicly disclosed in official candidate affidavits, and no private identifiers beyond candidate names have been added.

Steps to reproduce

The dataset can be reproduced by first downloading the candidate nomination affidavits (Holofnama) from the official website of the Election Commission of Bangladesh (https://ecs.gov.bd/en). Each affidavit should then be reviewed individually to identify the relevant candidate-level information. A structured extraction template should be prepared in advance, including variables such as constituency, candidate name, party affiliation, gender, date of birth, educational qualification, profession, yearly income, movable and immovable property, tax return information, and income tax paid for the candidate, spouse, and children. After extraction, the data should be standardized by unifying date and number formats, standardizing categorical labels, removing formatting inconsistencies, and harmonizing constituency and party names where required. Finally, each record should be validated against the original affidavit through manual checking, spot-checking, and resolution of any inconsistent or suspicious entries directly from the source documents.

Institutions

• Daffodil International University

  Dhaka Division, Dhaka

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