India State Government : Disbursements: Revenue data was reported at 47,539,280.608 INR mn in 2025. This records an increase from the previous number of 43,513,038.177 INR mn for 2024. India State Government : Disbursements: Revenue data is updated yearly, averaging 1,843,120.000 INR mn from Mar 1971 (Median) to 2025, with 55 observations. The data reached an all-time high of 47,539,280.608 INR mn in 2025 and a record low of 33,900.000 INR mn in 1971. India State Government : Disbursements: Revenue data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s India – Table IN.FC001: State Government: Receipts and Disbursements.

The PowerBI report included in this dataset visualizes crime across the Indian states. You will be able to answer questions on which type of crimes exist? Which weapon was used? Which gender suffered the most? The dataset used for this report is taken from here.Thank you to @SudhanvaHG for providing such a detailed dataset.

India Government Expenditure: Year to Date: Ministry of Finance: Department of Revenue: Capital data was reported at 2,046.400 INR mn in Oct 2025. This records an increase from the previous number of 1,975.400 INR mn for Sep 2025. India Government Expenditure: Year to Date: Ministry of Finance: Department of Revenue: Capital data is updated monthly, averaging 0.000 INR mn from Apr 2017 (Median) to Oct 2025, with 103 observations. The data reached an all-time high of 4,496.900 INR mn in Mar 2025 and a record low of -59.700 INR mn in Jan 2020. India Government Expenditure: Year to Date: Ministry of Finance: Department of Revenue: Capital data remains active status in CEIC and is reported by Controller General of Accounts. The data is categorized under India Premium Database’s Government and Public Finance – Table IN.FA: Central Government: Controller General of Accounts (CGA): Expenditure: by Ministry-wise: Financial Year: Year to Date.

In August 2022, a survey in India revealed, ** percent of respondents believed their mobile number was leaked in the public domain by government bodies, banks, and telecom companies. Email addresses, Aadhar numbers, and PAN card numbers were some other personal details that were reported as comprised by more than ** percent of respondents, respectively.

Abstract

This report published by the Bureau of Indian Affairs office of Trust Responsibility contains acreage totals for US native lands broken down by tribal, individual, and government and summarized at the reservation, agency, state and county levels. The reports for 1966, 1978, 1982, 1983, 1984 and 1985 also includes acreage and income for surface and subsurface leases on US native lands broken down by agriculture, business and mineral leases.

These reports were compiled by the Native Lands Advocacy Project after an extensive search of academic libraries, the Library of Congress, and the National Archives. In 2018 the NLAP submitted a FOIA request to the Bureau of Indian Affairs requesting copies for missing years and received the following response. "We cannot comply with the part of your request for annual reports entitled, Annual Report of Indian Land and Income, Surface and Subsurface Leases, dating back to 1934, or any previous years. We have thoroughly searched our records and have not been able to locate annual reports which may have been prepared in previous years, such as from 1934 forward. All of the annual reports were prepared manually, not generated from a data system; the annual reports are no longer prepared by the BIA."The native lands advocacy project manually transcribed each report into the included spreadsheet to facilitate data discovery and analysis.

In the financial year 2023, the Indian government reported having spent approximately *** million Indian rupees on outdoor publicity. This constituted only ** percent of the ad spending in fiscal year 2019. The overall government ad expenditure on traditional media notably declined since the coronavirus pandemic.

Context

This dataset provides a timeseries of COVID-19 reported cases including cured/migrated information of states of India. The data is available from 30th January 2020 onwards.

Content

The data is in CSV format and has 5 columns.

Date: Date in DD-MM-YYYY format State: Name if the state Total Confirmed Cases: Total number of confirmed cases as on Date Cured/Discharged/Migrated: Total number of cured, discharged or migrated cases as on Date Death: Total number of deaths as on Date

All figures are cumulative.

Acknowledgements

This dataset is created and maintained using the data available in public domain. The state-wise COVID-19 cases in India are published by Ministry of Health and Family Welfare, Government of India on their website https://www.mohfw.gov.in/. A snapshot of the data on the above website is taken at 11PM IST(UTC+05.30) daily and appended to this dataset. Part of the data for initial period is taken from India Today COVID-19 Tracker at https://www.indiatoday.in/india/story/coronavirus-cases-in-india-covid19-states-cities-affected-1653852-2020-03-09.

Banner Photo by Martin Sanchez on Unsplash

The India IT Services Market Report is Segmented by Service Type (IT Consulting and Implementation, IT Outsourcing, Business Process Outsourcing, and More), End-User Enterprise Size (Small and Medium Enterprises, and Large Enterprises), Deployment Model (Onshore Delivery, and More), and End-User Vertical (BFSI, Manufacturing, Government and Public Sector, and More). The Market Forecasts are Provided in Terms of Value (USD).

Comprehensive dataset containing 18,440 verified Government hospital businesses in India with complete contact information, ratings, reviews, and location data.

The size of the Government Cloud market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 17.13% during the forecast period. Recent developments include: October 2022 - Oracle announced multi-cloud offerings for the Indian government as it doubles down on modernizing its infrastructure in the digital era; there is an excellent demand for multi-Cloud offerings among the government stakeholders, and by introducing the multi-cloud users can migrate or build new applications on Azure and then connect to high-performance and high-availability managed Oracle Database services such as Autonomous Database running on Oracle Cloud Infrastructure (OCI)., August 2022 - Google Cloud announced its collaboration (MoU) with Singapore's National AI to build artificial intelligence applications, train public sector officers on AI, and create test and scale AI applications in key areas such as finance, sustainability, and healthcare.. Key drivers for this market are: 6.1 Need for Greater Storage Capabilities is Driving the Market Demand6.2 Need for Data Transparency are Expanding the Market. Potential restraints include: 7.1 Cloud Computing Skills Gap is Hindering the Market Growth. Notable trends are: Need for Greater Cloud Storage Capabilities to witness growth.

This report provides an overview of the administration of the Indian Oil and Gas Act , RSC 1985, c I-7 (Act). The report is prepared every 2 years in odd years on the anniversary of the coming into force of the Act. Indian Oil and Gas Canada manages and regulates oil and gas resources on designated First Nation lands across Canada and administers the Act.

Question 2.2.5a: Were transfers of extractive resource revenues to subnational governments externally audited over the most recently completed audit timeframe?

India State Government : Receipts: Revenue data was reported at 46,738,085.954 INR mn in 2025. This records an increase from the previous number of 42,104,101.017 INR mn for 2024. India State Government : Receipts: Revenue data is updated yearly, averaging 1,668,200.000 INR mn from Mar 1971 (Median) to 2025, with 55 observations. The data reached an all-time high of 46,738,085.954 INR mn in 2025 and a record low of 33,710.000 INR mn in 1971. India State Government : Receipts: Revenue data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s India – Table IN.FC001: State Government: Receipts and Disbursements.

The gig economy has witnessed remarkable growth in India, offering workers flexibility but often lacking in traditional social security benefits. This research aims to explore the multifaceted factors influencing the social security landscape for gig workers in India. The study draws upon a wide range of data sources, including government reports, labor surveys, academic research, and surveys from non-governmental organizations.

The India Surveillance Camera Market is booming, projected to reach $3.7 billion by 2025 with a 10.8% CAGR. Driven by smart city initiatives and security concerns, this report analyzes market trends, key players (Hikvision, CP PLUS, Panasonic), and segment growth across government, banking, and more. Discover the opportunities and challenges in this rapidly expanding sector. Recent developments include: April 2024: India is bolstering the security of its government institutions by introducing a regulation that phases out Chinese-made surveillance cameras. This decision reflects mounting apprehensions over the security vulnerabilities linked to these devices. Current figures indicate that India boasts a surveillance camera count exceeding two million. Alarmingly, an estimated one million of these cameras are of Chinese origin, heightening fears of data breaches and unauthorized intrusions. In response, the Indian government has set a deadline of October 2024 to enforce this new regulation.January 2024: Consistent Infosystems has expanded its Security & Surveillance product line by launching a new series of Made in India surveillance cameras. This move bolsters its robust offerings in the IT, electronic, and home entertainment sectors. The latest lineup includes a diverse set of cameras: the Smart Wireless 4G PT Camera, 4G Solar Camera, Wireless Pan-Tilt Wifi 3MP/4MP Mini Wi-Fi P2P Plug and Play, 4G Color Camera, and the 4G Dome CCTV Camera, providing a comprehensive surveillance solution.. Key drivers for this market are: Increasing Public Safety and Security Concerns, Rapid Urbanization and Population Growth. Potential restraints include: Increasing Public Safety and Security Concerns, Rapid Urbanization and Population Growth. Notable trends are: IP-based Camera Type is Expected to Register Significant Growth Rate.

About the Dataset: Waste Management and Recycling in India

Overview:

This dataset provides comprehensive information on waste management and recycling practices in various cities across India. It includes key data related to waste generation, recycling rates, population density, municipal efficiency, landfill details, and more. The data spans multiple years (2019–2023) and covers a range of waste types, including plastic, organic waste, electronic waste (e-waste), construction waste, and hazardous waste.

Purpose:

The dataset aims to: - Promote efficient waste management practices across Indian cities. - Analyze trends in recycling and waste disposal methods. - Provide insights for improving municipal management systems. - Support research and development in sustainability, environmental science, and urban planning.

Columns:

1. City/District: The name of the Indian city or district.
2. Waste Type: Type of waste generated, e.g., Plastic, Organic, E-Waste, Construction, Hazardous.
3. Waste Generated (Tons/Day): Amount of waste generated in tons per day.
4. Recycling Rate (%): The percentage of waste that is recycled.
5. Population Density (People/km²): The number of people per square kilometer in the city.
6. Municipal Efficiency Score (1-10): A score indicating how effectively the municipality manages waste (e.g., waste segregation, collection, disposal).
7. Disposal Method: The method used for waste disposal (e.g., Landfill, Recycling, Incineration, Composting).
8. Cost of Waste Management (₹/Ton): The cost of managing one ton of waste in Indian Rupees.
9. Awareness Campaigns Count: The number of awareness campaigns organized by the municipality in that year related to waste management.
10. Landfill Name: The name of the landfill site used by the city.
11. Landfill Location (Lat, Long): The geographical location (latitude and longitude) of the landfill.
12. Landfill Capacity (Tons): The total waste capacity (in tons) that the landfill can hold.
13. Year: The year of the data entry, ranging from 2019 to 2023.

Applications:

• Urban Planning: The dataset can be used to analyze and optimize waste management infrastructure in urban areas.
• Sustainability Research: It can help in studying the progress of recycling and waste reduction strategies.
• Policy Making: Government bodies can use this data to craft policies aimed at improving waste management and recycling rates.
• Machine Learning/AI: The dataset can be used to build models for predicting waste generation trends, recycling outcomes, and municipal efficiency.

Sources:

• The data is simulated for this dataset based on average waste management practices observed in Indian cities.
• Real-world data could come from municipal corporations, environmental agencies, and government reports on waste management.

India IN: Government Effectiveness: Estimate data was reported at 0.092 NA in 2017. This records an increase from the previous number of 0.077 NA for 2016. India IN: Government Effectiveness: Estimate data is updated yearly, averaging -0.088 NA from Dec 1996 (Median) to 2017, with 19 observations. The data reached an all-time high of 0.122 NA in 2007 and a record low of -0.206 NA in 2014. India IN: Government Effectiveness: Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank.WGI: Country Governance Indicators. Government Effectiveness captures perceptions of the quality of public services, the quality of the civil service and the degree of its independence from political pressures, the quality of policy formulation and implementation, and the credibility of the government's commitment to such policies. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

India Government Securities Yield: 1 Year data was reported at 6.779 % pa in Jan 2019. This records an increase from the previous number of 6.763 % pa for Dec 2018. India Government Securities Yield: 1 Year data is updated monthly, averaging 7.449 % pa from May 1996 (Median) to Jan 2019, with 273 observations. The data reached an all-time high of 13.007 % pa in Jan 1998 and a record low of 4.006 % pa in Apr 2009. India Government Securities Yield: 1 Year data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.MD002: Government Securities Yield.

In 2016, nearly 60% of the population of India practiced open defecation (OD), which was 4 times the global rate, and reducing OD in India will be essential in meeting Sustainable Development Goal (SDG) 6.2 and improving global public health. The government of India launched the Swachh Bharat Mission (SBM) in 2014 with one key goal for all Indian states to achieve OD-free (ODF) status by 2019. Despite reports from the Government of India on the success of SBM, the true ODF status of Indian states is still unknown. A systematic review of peer-reviewed literature was conducted to assess the impact of SBM on OD in India, evaluate the barriers to reducing OD, and provide recommendations for future interventions to reduce or eliminate OD in India. A total of 237 publications were screened, and 22 were selected for inclusion. While the Prime Minister declared India ODF in 2019, studies suggest that the government monitoring system overestimates numbers of ODF villages and toilet coverage. Reasons for households’ continued OD practice include financial constraints, lack of water supply, governmental mistrust, cultural beliefs, and personal preference. Community incentives and penalties have been used to encourage proper sanitation practices with varying success. Overarching strategies and approaches that have worked well across study districts to reduce OD include high involvement of district leadership and innovative behavior-change and local community mobilization campaigns.

Explore digital skills development driven by government schemes, partnerships, and industry collaborations shaping future opportunities.