Collections - Dataful

CollectionImmovable Property Returns of IAS and IPS OfficersThis collection contains datasets related to batch and cadre-wise-wise list of IAS and IPS Officers who have filed and not-filed their Immovable Property Return (IPR) Note: 1. The Government servants are required to file annual Immovable Property Return (IPR), under Rule 18(1)(ii) of the CCS (Conduct) Rules, 1964, with full particulars of their immovable property, such as inherited or held on lease or mortgage, either in their own name or in the name of any member of their family or in the name of any member of their family or in the name of any other person. 2. statement_date: This is the annual reference date. As per Rule 16(2) of All India Services (Conduct) Rules, 1968, every member of the service shall submit his/her Immovable Property Return (IPRs) in the prescribed form by 31st January of every year in respect of the previous year ending 31st December. 3. submission_date: This refers to the specific day the officer filed their return. If this field is empty, it indicates that while the officer did submit their IPR, the specific submission date was either not captured by the system or was unavailable in the source records.4 datasetsView →

CollectionExecutive Record Sheet of IAS OfficersThis collection contains datasets related to all the professional details of IAS officers like Mid-Career Training, Foreign Training, Experience, Awards received during training etc.7 datasetsView →

CollectionCadre wise Allotment of IAS officersThis collection contains datasets on cadre, domicile and gender-wise allotment of IAS officers for each state Note: date_of_appointment and present_post_with_effect_from were not available for recent recruitees28 datasetsView →

CollectionPrison Staff Strength and Training from Prison Statistics India Reports, NCRBThis collection of datasets, derived from the National Crime Records Bureau (NCRB) Prison Statistics India reports, provides a detailed structural analysis of the human resources managing India’s correctional facilities. It tracks the year-wise and state-wise sanctioned and actual strength of jail personnel, highlighting critical gaps in the workforce through vacancy data and inmate-to-staff ratios. The data encompasses a wide range of roles, including high-level officers (DG, IG, Superintendent), jail cadre staff (Warders and Matrons), medical professionals, and ministerial staff. A significant focus of this collection is the representation of women among jail officers and staff, as well as the presence of specialised correctional personnel such as psychologists, social workers, and welfare officers. Additionally, the datasets monitor the professional development of the workforce by documenting the frequency and scale of training programs provided to jail staff. These insights are vital for researchers and policymakers evaluating administrative efficiency, staff welfare, and the overall capacity of the Indian penal system to provide secure and rehabilitative environments.10 datasetsView →

CollectionMaster Collection: Participation of Women in Decision MakingThis Collection contains datasets on the role of women in decision-making at various levels. It consists of datasets like women in the Union Council of Ministers, women MPs, the share of women in managerial positions, female police officers, Panchayat Raj institutions, Judges in the Supreme and High Court, women voters etc.12 datasetsView →

CollectionIndia Posts StatisticsThis collection contains datasets related to State and Year-wise number of post offices, letter boxes, postal articles and Mail Traffic by Article type etc.3 datasetsView →

CollectionOfficial Visits of President, PM, EAM and Foreign DignitariesThis collection brings together structured datasets on international and inbound diplomatic visits involving India’s highest offices — the Prime Minister (PM), External Affairs Minister (EAM), and the President of India, as well as visits by foreign dignitaries to India. Each dataset captures key details such as office held, visiting leader, destination or host country, visit duration, calendar year, and the formal nature of the engagement (state visit, official visit, summit, joint commission, etc.).4 datasetsView →

CollectionH-1B Visas Petitions and ApprovalThe US Citizenship and Immigration Services provides annual data with respect to petitions filed, visa approved, by country of birth and type of employment for H-1B Visa. An H-1B visa is a non-immigrant visa that lets companies and offices in the US employ foreign workers who require specialized knowledge or at least a bachelor's degree or work experience. Data pertaining to visas approved and petitions filed across different categories like employment type, country of birth, etc is available in this collection.9 datasetsView →

CollectionIndia Banking and Postal Infrastructure DataThe collection consists of datasets covering India's postal and banking infrastructure across states, districts, and villages. It includes geocoded location details, PIN codes, and IFSC codes for post offices, bank branches, ATMs, and India Post Payments Bank (IPPB) access points. 5 datasetsView →

CollectionBanking Data from RBI's Handbook on Indian StatesSince 2016, the Reserve Bank of India (RBI) has published the annual Handbook of Statistics on Indian States, providing a comprehensive time series of socio-economic data. It covers sub-national statistics on demographics, health, state economy, agriculture, environment, prices, wages, industry, infrastructure, banking, and fiscal indicators across Indian states, with data spanning 1951 to 2024. This Collection contains datasets on year and state-wise information on various financial metrics related to Scheduled Commercial Banks and Regional Rural Banks in India. It includes data on credit to agriculture, industry, and personal loans; credit-deposit ratios by place of sanction and utilization; deposits; and the distribution of bank offices and branches.12 datasetsView →

CollectionESG data from BRSRThe Business Responsibility and Sustainability Reports (BRSR) framework is a mandatory disclosure mechanism for top 1000 (NSE and BSE) listed companies or businesses by market capitalization to report their performance on Environmental, Social and Governance (ESG) aspects and demonstrate their commitment to responsible business practices. The data has been updated based on company reports published on the NSE and BSE websites. The collection contains year- and company-wise, along with details of Corporate Identification Number (CIN), datasets on financial, environmental, social and governance performance of top 1000 companies, which are listed every year by market capitalization. The specifics of data contained for each of 1000 companies in the datasets include: -paid up capital, turnover and net worth -the name, shares and contribution, and other details of each of the subsidiary company of the top 1000 companies -number of locations, both within and outside India, where the offices their are located -the types of business activities and products and services that are done -gender-wise number of employees and workers, both permanent and others, along with details of their contribution in turnover of the company, -the details of grievance redressal mechanism such as number of complaints received, disposed and pending resolution, etc. Note: We observed certain discrepancies in the units reported by a few companies in their BRSR submissions, specifically between the PDF files and the corresponding XML files. On Dataful, we have retrieved the units mentioned in the PDF files to correct the XML data wherever possible and are working to make the datasets as accurate as possible. In some cases, data from PDF files of two different years for the same company did not match. In such instances, the data from the latest year has been considered. However, we recommend verifying the information directly with SEBI and/or the respective companies if you notice any such discrepancies. 57 datasetsView →

CollectionUSA Students Studying Abroad (Open Doors Report)The collection contains historically compiled data from the year 1989-90 on United Nations of America (USA) Students who are enrolled in educational institutions in other countries for pursuing different fields of studies. The specifics of data contained in the collection include Academic-year-wise number of international students who are enrolled in different regions and countries for pursuing different programmes and fields of study such as Agriculture, Natural Resources and Conservation, Communication, Journalism, Communications Technologies/Technicians, Construction Trades, Engineering, Engineering Technologies/Technicians, Mechanic and Repair Technologies/Technicians, Military Technologies, Precision Production, Transportation and Materials Moving, Architecture, Visual and Performing, Arts, Health Professions, Residency Programs, English Language and Literature/Letters, Foreign Languages, Literatures and, Linguistics, Philosophy and Religious Studies, Theology and Religious Vocations, Homeland Security, Law Enforcement, and Firefighting, Legal Professions and Studies, Computer and Information Sciences, Mathematics and Statistics, Basic Skills, Family and Consumer Sciences/Human Sciences, Liberal Arts and Sciences/General Studies, Library Science, Multi/Interdisciplinary Studies, Parks, Recreation, Leisure and Fitness Studies, Personal and Culinary Services, Reserve Officer Training Corps, Biological and Biomedical Sciences, Physical Sciences, Science Technologies/Technicians, Area, Ethnic, Cultural and Gender Studies, History, Psychology, Public Administration and Social Service Professions, Social Sciences, Family and Consumer Sciences/Human Sciences, etc.6 datasetsView →