Collections - Dataful

CollectionNSSO: Education and EmploymentThe collection contains Year-, State-, Region-, Gender-, Social-group and Age-group-wise historically compiled data from National Sample Survey Organisation (NSSO/NSO) reports on the subject of Education and Employment in India. The specifics of data coverned in the datasets include independent data on level of education among persons of 15 years and 5 years, households with no literate members of age group 15 years and above, literacy rate among different persons of different age and social groups, attendance rate in educational institutions, non-Literacy among rural and urban population of India, number of households who possess lands in rural india, number of households and who have undertaken cultivation on agricultural lands, types of employment people were engaged in, including participation and benefits under NREGS Scheme, etc. The coverage of data is from the year 2000 to 2012 (until the publication of latest report)12 datasetsView →

CollectionCoir BoardThis collection contains the Year Wise exports of coir, production of different coir based products, state wise number of registered coir units, employment in the coir industry, subsidy released under Coir Udyami Yojana scheme and item wise exports of coir products5 datasetsView →

CollectionStatistics on Indian Ship building and Repairing IndustryThis collection includes datasets on the Indian shipbuilding and repairing industry, covering ship orders, ships manufactured and repaired in India, employment in the sector, financial performance, and global ship order data by country, among other key statistics.14 datasetsView →

CollectionEmployment Provident Fund Payroll DataThe collection contains master data on employees payroll from the year 2017-18 to till date. The specifics of data contained in the dataset include year-, month-, state-, age-group-, industry-type- and gender-wise compiled data on estimate number of payroll members and the number of new, exited and rejoined subscribers in Employment Provident Fund Organization (EPFO) The Employment Provident Fund (EPF) was launched in the year 1951 under the Employees Provident Fund Act to administer contributory provident fund, pension scheme and an insurance scheme. It promotes to save funds for retirement for the workforce engaged in the organized sector in India. The Act and Schemes framed there under are administered by a tri-partite Board known as the Central Board of Trustees, Employees' Provident Fund, consisting of representatives of Government (Both Central and State), Employers, and Employees. It is one of the world’s largest organizations in terms of clientele and the volume of financial transactions undertaken by it. The Board is assisted by the Employees’ Provident Fund Organization (EPFO), which functions under Ministry of Labour and Employment. 10 datasetsView →

CollectionMSMEsThis collection contains the state wise details about the number of enterprises, the employment in these enterprises and the ownership pattern of the enterprises.3 datasetsView →

CollectionEmployment in CPSEsThis collection contains the details of the human resources, i.e., personnel working for CPSEs. Parameters like personnel strength, share of female employees, caste-wise representation- both as cumulative and at all levels of employment, and employment trend in Top-12 CPSEs by market capitalization as well as employment share.9 datasetsView →

CollectionPolice: Data Related to Strength, Vacancies, Budgets, Expenditures, Infrastructure and OthersThe collection contains comprehensive year-, state-, region- and designation-wise datasets on police, their employment in terms of their existing strength, actual sanctioned posts, vacancies, budgets granted, expenditure incurred, police per lakh population and per 100 square kilometres area, transport vehicle statistics, among others20 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 →

CollectionPeriodic Labour Force Survey (PLFS)This collection consists of datasets from the Periodic Labour Force Survey (PLFS). PLFS is a national survey conducted in India to assess labor market indicators, including employment, unemployment, and workforce participation. It collects data on various demographic characteristics, employment status, and economic activities, providing insights into the country's labor dynamics and helping inform policy decisions. The years covered in the survey are from July to June. For instance, 2023-24 refers to the period July 2023 to June 2024 and likewise for other years.39 datasetsView →

CollectionEmployment Exchanges in IndiaThis collection contains the details of the total employment exchanges in India, employment exchanges statewise and working statistics related to employment exchanges such as registrations, placements, and vacancies notified.3 datasetsView →

CollectionPrime Minister Employment Generation ProgrammeThis collection consists of data of micro enterprises established in North Eastern States under PMEGP and the women beneficiaries under this scheme across India7 datasetsView →

CollectionVB-G RAM G/MNREGA: Total Persondays and Households Engaged in Work at Block LevelThe collection contains month-, state-, district-, and block-wise data on total number of persondays, and number of households engaged in work, under Mahatma Gandhi National Rural Employment Guarantee Act (MNREGA) Note: The Viksit Bharat - Guarantee for Rozgar and Ajeevika Mission (Gramin) Act, 2025 (VB-G RAM G) came into force on July 1, 2026, officially replacing the old MGNREGA framework.15 datasetsView →