Datasets
Categories
Collections
›
Popular collections
See all collections
District Data
HFIs
Sectors
States
Mentions
Showcase
Other Products
AI Products
GoPie ↗
Tagore AI ↗
CSR Insights ↗
Insights ↗
District Crimes ↗
New
Pricing
Sign in
Loading data…
Collections - Dataful
Collections
Related datasets bundled by topic, one place for a whole line of questioning.
11 of 501 collections
Collection
Assessment of Ground Water Resources in India
This collection contains the details of the assessment of groundwater resources in India. It includes the source and season-wise annual groundwater recharge, purpose-wise groundwater extraction (utilization), projected groundwater availability for future uses, and the current stage of groundwater extraction. These datasets are available at both state and district levels.
9 datasets
View →
Collection
Population Projection of India
The collection contains State-, Age-group- and Gender-wise compiled datasets on India's population from the year 2011 to 2036, based on the technical group report published by the National Commission on Population (NCP). The figures of population given for different years are the projected figures, except for the census year of 2011. The different types of data and information contained in the datasets include independent data on quinquennial and yearly projected population of India, with separate data on projected urban population.
5 datasets
View →
Collection
Protected Areas of India
This Collection contains datasets related to State-wise list of Protected Areas like Wildlife Sanctuaries, National Parks, Marine Protected Areas, Conservation Reserves, and Community Reserves in India and its area along with the year of notification of the each
5 datasets
View →
Collection
Child Immunization (Vaccination)
This Collection contains datasets on year, state and district wise total number of children of age 9-12 months fully immunized A fully immunized child is one who has received all vaccines recommended in the National Immunization Schedule in required doses, before completing one year of age. For the purpose of monitoring and evaluating the programme, a child below 1 year of age who has received one dose of BCG, Measles/MR along with 3 doses of OPV, Pentavalent Vaccine and two doses of IPV is said to be fully immunized. However, for the purpose of the programme and to ensure that the child is completely protected, all other vaccines applicable to a child below one year of age should be provided as per the immunization schedule, like PCV (3 doses), RVV (3 doses), JE (1 dose), wherever applicable.
2 datasets
View →
Collection
Physical and Financials Status of Metro Rail Projects
This Collection contains datasets on physical (operational and under construction length) and financials ( funds allocated and released under Equity, Grant, Subordinate Debt (SD) and Pass Through Assistance (PTA) ) status of Metro Rail/RRTS Projects
2 datasets
View →
Collection
PMGSY: Habitations, Road Lengths, Cost and Expenditure for Rural Connectivity Projects
This Collection contains datasets on year, scheme, district wise sanctioned, connected habitations, completed road lengths, cost and expenditure for Pradhan Mantri Gram Sadak Yojana (PMGSY) rural connectivity projects
3 datasets
View →
Collection
Corporate Social Responsibility (CSR) Statistics
The Corporate Social Responsibility concept in India is governed by Section 135 of the Companies Act, 2013 (Act), Schedule VII of the Act and Companies (CSR Policy) Rules, 2014 wherein the criteria has been provided for assessing the CSR eligibility of a company, Implementation and Reporting of their CSR Policies. This Collection contains datasets on expenditure details, project reports, registration details of companies under CSR Note about discrepancies: Any discrepancies in the data between the MCA's CSR portal and this dataset are due to certain duplicate entries in the MCA CSR portal. In some of these cases, the company name appears differently, even though the CIN is the same. As per the official source, the data for both companies is exactly the same. Further, company names that were repeated due to non-standard formatting, such as extra spaces or other data-cleaning issues, have been standardised. For instance, S. B. MULTIMEDIA PRIVATE PRIVATE LIMITED was standardised to S. B. MULTIMEDIA PRIVATE LIMITED, and R E-ROGERS INDIA PRIVATE LIMITED was standardised to R.E. ROGERS INDIA PRIVATE LIMITED as the same company had duplicate entries with minor variations in names and with same CIN. Other notes: 1. The CSR Official Portal is updated on a regular basis as companies submit their CSR disclosures. Consequently, the CSR data for FY 2024–25 available on Dataful will continue to be updated as new information becomes available on the official portal. 2. Please note that there may be discrepancies in the units for the project_amount_outlay and amount_spent columns. All the values & units in the datasets are shown exactly as presented in the source. 3. Year-wise count of companies in this dataset may not match with that of the original source as the duplicate entries for each year were removed in this dataset. The original source had duplicate rows for hundreds of companies. 4. Nec/Not Mentioned means Not Elsewhere Covered 5. Pan India means companies either did not specify the names of States or indicated more than one State where projects were undertaken 6. All India is different from Pan India. All India means all States put together or total of all the states 7. CIN is the unique field, not the company name
8 datasets
View →
Collection
Debt Securities and Mutual Fund Market Statistics
This collection provides a comprehensive statistical overview of debt instruments and investment flows across the financial sector. By consolidating data on Municipal Bonds, Non-Convertible Debentures (NCDs), Corporate Bonds, and Securitized Debt Instruments, the collection tracks the lifecycle of these markets from issuance and private placements to redemptions and outstanding volumes. It also integrates key Mutual Fund activity statistics, including funds mobilized and total assets under management (AUM) categorized by investment objectives. Together, these datasets offer granular insights into the participation of financial and non-financial corporations, helping analyze liquidity trends, credit market conditions, fundraising activity, and institutional investment patterns. Municipal Bonds are debt securities issued by municipal corporations or local government bodies to finance public infrastructure projects such as roads, water supply systems, and urban development. These bonds typically provide investors with periodic interest payments and repayment of principal at maturity, while enabling municipalities to raise long-term capital for civic projects. Corporate Bonds are debt instruments issued by companies to raise funds for business expansion, operations, refinancing, or capital expenditure. Investors lend money to the corporation in exchange for fixed or variable interest payments over a specified tenure, with repayment of principal upon maturity. Securitized Instruments are financial securities created by pooling underlying assets such as loans, receivables, or mortgages and converting them into tradable investment products. These instruments help institutions improve liquidity and allow investors to participate in diversified income-generating asset pools. A Public Issue refers to the offering of bonds or debt securities to the general public through regulated market mechanisms, enabling broad investor participation. In contrast, a Private Placement involves the sale of bonds directly to a select group of institutional or qualified investors without a public offering, often allowing faster fundraising with customized terms. Financial Corporations are institutions primarily engaged in financial intermediation and related services, such as banks, insurance companies, mutual funds, non-banking financial companies (NBFCs), and other investment entities. These organizations raise, manage, lend, or invest capital within the financial system. Non-Financial Corporations are companies whose primary business activities involve the production of goods or delivery of non-financial services, including sectors such as manufacturing, infrastructure, technology, energy, telecommunications, and retail. These corporations participate in debt markets mainly to raise capital for business operations, expansion, and long-term investments.
9 datasets
View →
Collection
NIRF: Master Data of Higher Educational Institutions' Admissions, Placements, Finances, Research and Ranking
The collection contains year-wise compiled data and the pertinent datasets on different parameters and aspects relating to scoring and ranking of higher educational institutions in India, based on the data published by Ministry of Education under National Institutional Ranking Framework (NIRF) Note: 1. The data pertains only to those universities/colleges/institutions whose detailed NIRF submissions is uploaded to the NIRF portal. 2. The specifics of data contained in the datasets include details relating to admissions and placements such as number of student admissions, graduations, placements, etc., the financial details such as capital, operational and other types of expenditure incurred, the profits earned, etc. research details such as number of consultancy and research projects taken up, number of funding/client organizations, the funds received, the faculty available together with their qualifications, etc. Based on these and other partmeters, the NIRF has also published university/institute-wise score and ranking of each higher educational institutions, which have also been made as separate datasets in the collection. 3. The 2026 rankings and college data have not yet been released by NIRF. However, we have sourced the 2026 data for individual colleges directly from their respective official websites. We followed the same approach for colleges that were not highly ranked in previous years and whose information is not available on the NIRF website.
28 datasets
View →
Collection
Statistics of District Mineral Foundations (DMF)
This collection contains state-, district-, and sector-wise cumulative data on the implementation and utilisation of District Mineral Foundation (DMF) funds. It covers the number of districts with DMFs established, amounts collected from coal, lignite, major and minor minerals, and the amounts allocated and spent. The datasets also provide details on projects sanctioned, yet to commence, ongoing, completed, and scrapped or cancelled. At the All-India and sector levels, it includes projects approved, amounts approved, and expenditure, with sectors classified into High Priority and Other Priority categories. District-level data further captures project sanctions and completions alongside DMF collections, allocations, and expenditure.
6 datasets
View →
Collection
National Family Health Survey (NFHS): Family Profile and Health Status in India
The collection contains All India, State- and District-wise compiled data of National Family Health Survey (NFHS) 3rd, 4th, 5th and 6th reports which give statistical data on family planning, child birth, population, medical, health and other parameters, which serve as the statistical indicators data on family profile and health status in India The different types of health data contained in the dataset include Anaemia among women and children, blood sugar levels and hypertension among men and women, tobacco and alcohol consumption among adults, delivery care and child feeding practices of women, quality of family planning services, screening of cancer among women, marriage and family, maternity care, nutritional status of women, child vaccinations and vitamin A supplementation, treatment of childhood diseases, etc. Within these categories of health data, the dataset contains indicators data such as births attended by skilled health care professionals and caesarean section, number of children with under and heavy weight, stunted growth, their different vaccinations status, male and female sterilization, consumption of iron folic acid among mothers, mother who had antenatal, postnatal, neonatal services, women who are obese and at the risk of weight to hip ratio, educational status among women and children, sanitation, birth and sex ratio, etc. The NFHS is a collaborative project of the International Institute for Population Sciences(IIPS), aimed at providing health data to strengthen India's health policies and programmes.
3 datasets
View →