High Frequency Indicator: The dataset contains year-, quarter- and service-area-wise compiled data from the year 2009 to till date on the total number of wireless and wireline telecom subscribers in India, along with net addition and percentage of change in the number of connections

Segmentation of sub-cortical structures from MRI scans is of interest in many neurological diagnoses. Indian Brain Segmentation Dataset (IBSD) consists of high-quality 1.5T T1w MRI data of 114 subjects generated under fixed imaging protocol along with corresponding manual annotation data of 14 sub-cortical structures done by expert radiologists. The number of MR scans in the dataset consists of an approximately equal number of male and female subjects belonging to a young age group (20-30 years). This data has been used to create a template for the young Indian population. This dataset can also be utilized for variety of tasks such as segmenting structures of interest, aligning/ registering images, etc, using traditional methods as well as Deep Learning approaches since it has adequate quantity of high quality data. Focus Area : Neuro and Mental Health.

High Frequency Indicator: The dataset contains year-, quarter- and service-area-wise from the year 2013 to till date on the per hundred and total number of internet subscribers in rural and urban areas of India

The number of Youtube users in India was forecast to continuously increase between 2024 and 2029 by in total ***** million users (+***** percent). After the ninth consecutive increasing year, the Youtube user base is estimated to reach ****** million users and therefore a new peak in 2029. Notably, the number of Youtube users of was continuously increasing over the past years.User figures, shown here regarding the platform youtube, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Youtube users in countries like Sri Lanka and Nepal.

India Internet Statistics: Number of Subscribers data was reported at 970,160,000.000 Unit in Dec 2024. This records a decrease from the previous number of 971,500,000.000 Unit for Sep 2024. India Internet Statistics: Number of Subscribers data is updated quarterly, averaging 665,310,000.000 Unit from Dec 2013 (Median) to Dec 2024, with 45 observations. The data reached an all-time high of 971,500,000.000 Unit in Sep 2024 and a record low of 238,710,000.000 Unit in Dec 2013. India Internet Statistics: Number of Subscribers data remains active status in CEIC and is reported by Telecom Regulatory Authority of India. The data is categorized under Global Database’s India – Table IN.TE040: Internet Statistics: Number of Subscribers. Internet Subscribers: Total (series ID: 359243527) includes all the mode of access for Internet where includes Wired and Wireless which covers Fixed Wireless (Wi-Fi, Wi-Max, Point-to-Point Radio & VSAT) and Mobile Wireless (Phone + Dongle). [COVID-19-IMPACT]

Geospatial data have become a valuable asset in the 21st century with its applications in almost everyday life and an overriding scope in the field of research. One such growing spatial data is the remotely sensed nighttime lights (NTL) imagery, which simply is a depiction of human activities around the globe at night. It may be a stunning visual to many yet the valuable insights it provides in measuring a number of parameters like population, poverty, electrification, migration, disaster, health, fishing, fires, GDP, pollution, urbanization, settlement, etc. have made researchers and scientists look up to this data to validate and evaluate socio-economic and other indicators independently and concurrently. Apart from using as a proxy in many researches, NTL allows to track statistics of region where data is often not collected or is not reliable. It has potential applications for policy makers and government in the decision making processes. Nighttime lights were in used since the mid 1990's and are publicly made available from 1992 onwards through the Defense Meteorological Satellite Program (DMSP) provided by National Ocean and Atmospheric Administration (NOAA). A more advance system called Visible Infrared Imaging Radiometer Suite (VIIRS) Day Night band (DNB) replaces DMSP system. The extraction provided uses VIIRS monthly aggregates with spatial polygon units of India at sub-districts level. The monthly raw dataset is available from April 2012 onwards. This extraction cover 141 months till December 2023. The primary intent is to disseminate the dataset to a larger audience, be it researcher or policy analyst and planners. The broader objective is to keep on updating the data continuously.

Segmentation of sub-cortical structures from MRI scans is of interest in many neurological diagnoses. Indian Brain Segmentation Dataset (IBSD) consists of high-quality 1.5T T1w MRI data of 114 subjects generated under fixed imaging protocol along with corresponding manual annotation data of 14 sub-cortical structures done by expert radiologists. The number of MR scans in the dataset consists of an approximately equal number of male and female subjects belonging to a young age group (20-30 years). This data has been used to create a template for the young Indian population [1]. This dataset can also be utilized for variety of tasks such as segmenting structures of interest, aligning/ registering images, etc, using traditional methods as well as Deep Learning approaches since it has adequate quantity of high quality data.

This Global Data Barometer Country profile for India provides a quick overview of the strengths and weaknesses with regards to data capabilities, governance, availability and impact, and in comparison with other countries in the region and globally. Among the countries reviewed in South Asia, India scored the highest with strengths recorded in Governance and Capability. With a legal framework for data protection and data management, as well as widespread evidence of civil servants training and open data initiatives even at the sub-national level, India also showed evidence of availability for many datasets assessed. However, there may be lacking in terms of use and impact of the datasets, as well as strengthening the framework on data sharing across sectors.

This dataset provides the Subdistrict level administrative boundaries for India in a Shape file format. Rendered in the industry-standard coordinate reference system, EPSG:4326 (WGS84), this dataset ensures precision and compatibility.

High Frequency Indicator: The dataset contains year-, quarter- and service-area-wise data on the teledensity in rural and urban areas of India by percentage of wireline and wireless telecom subscriptions

Teledensity refers to proportion of people per every 100 people using telephone services

This dataset contains comprehensive sales transaction data from the retail sector in India, specifically focusing on the processed meats industry. It spans various retail segments including personal usage, restaurants, hotels, and hospitals. Each record in the dataset represents a sales order with information about the product category, pricing, shipping methods, profit margins, and geographic details across different regions of India.

Key Features: Order Priority: Defines the priority of the sales order (e.g., High, Low). Discount Offered: The discount applied to each sale. Unit Price: The price per unit of the product sold. Freight Expenses: Shipping costs associated with each order. Freight Mode: The mode of transportation used (e.g., Regular Air, Express Air). Segment: Retail segment such as Personal Usage, Hotels, Hospitals, or Restaurant Chains. Product Information: Includes the product type, sub-category, and packaging information. Geographic Information: State, city, and region within India where the transaction took place. Order and Ship Dates: Date of order placement and shipment. Profit: Profit margin from the sale. Quantity Ordered: Number of units ordered. Sales: Total sales amount generated.

District wise language data drawn from the 2011 government censuses. This layer also Includes mother tongue languages and literacy rates for men and women.Data source: https://data.humdata.org/dataset/india-languagesThis map layer is offered by Esri India, for ArcGIS Online subscribers. If you have any questions or comments, please let us know via content@esri.in.

Exports - Tobacco & Manufactured Tobacco Substitutes in India decreased to 419.61 USD Million in 2023 from 1213.37 USD Million in 2022. This dataset includes a chart with historical data for India Exports Ofbacco & Manufactured Tobacco Substitutes.

This Global Data Barometer Country profile for India provides a quick overview of the strengths and weaknesses with regards to data capabilities, governance, availability and impact, and in comparison with other countries in the region and globally. Among the countries reviewed in South Asia, India scored the highest with strengths recorded in Governance and Capability. With a legal framework for data protection and data management, as well as widespread evidence of civil servants training and open data initiatives even at the sub-national level, India also showed evidence of availability for many datasets assessed. However, there may be lacking in terms of use and impact of the datasets, as well as strengthening the framework on data sharing across sectors.

Key information about India Number of Subscriber Mobile

• India Number of Subscriber Mobile was reported at 1,140,000,000.000 Person in Dec 2022
• This records a decrease from the previous number of 1,150,000,000.000 Person for Dec 2021
• India Number of Subscriber Mobile data is updated yearly, averaging 881,839.000 Person from Dec 1960 to 2022, with 51 observations
• The data reached an all-time high of 1,180,000,000.000 Person in 2018 and a record low of 0.000 Person in 1994
• India Number of Subscriber Mobile data remains active status in CEIC and is reported by World Bank
• The data is categorized under World Trend Plus’s Association: Telecommunication Sector – Table IN.World Bank.WDI: Telecommunication

Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services.;International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database;Sum;Please cite the International Telecommunication Union for third-party use of these data.

Telecommunication Service: Number of Subscribers: Bihar: Wireless: Reliance Jio data was reported at 41,730,845.000 Unit in Mar 2025. This records an increase from the previous number of 41,361,261.000 Unit for Feb 2025. Telecommunication Service: Number of Subscribers: Bihar: Wireless: Reliance Jio data is updated monthly, averaging 31,448,264.000 Unit from Sep 2016 (Median) to Mar 2025, with 103 observations. The data reached an all-time high of 41,820,105.000 Unit in Jun 2024 and a record low of 988,639.000 Unit in Sep 2016. Telecommunication Service: Number of Subscribers: Bihar: Wireless: Reliance Jio data remains active status in CEIC and is reported by Telecom Regulatory Authority of India. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TE009: Telecommunication Service: Number of Subscribers: Telecom Regulatory Authority of India: Bihar.

This data Set includes: 1) A shapefile of the Indian Wells Valley sub watersheds containing 9 sub-watersheds, 2) Geology shapefile of all the watersheds 3) Vegetation shapefile of all the watersheds 4) Basin Characterization Model (BCM) model output of recharge values for all the watersheds from 3 model runs (CanESM2, CCSM4, and HadGEM2-CC)

Crime Trends in India from 2001 to 2020

A Statistical Overview of Criminal Victimization and Offender Action

By Rajanand Ilangovan [source]

About this dataset

This Dataset provides an up-to-date analysis of crime trends in India from 2001 to the present. It contains complete information about different types of crimes such as rape, murder, and theft that were committed across India. By analyzing this dataset we can determine the areas where crimes were most prevalent, what type of offenders were usually involved in the crime and which year had the highest number of registered cases. Additionally, we can also analyse which group experienced most complaints and what kind of punishments or consequences they faced like departmental enquiries, magisterial enquiries or police personnel trials completed. This data set is perfect for further research into crime trends in India and will help us better understand why certain types of crimes take place more frequently than others

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How to use the dataset

• Area Name (state or UT) where the crime was reported. • Year in which the crime was reported. • Subgroup (type of crime). • Number of cases registered, number of cases reported for departmental action etc., related to a particular type of crime and state/UT.
• Number of complaints/cases declared false/unsubstantiated, number of police personnel convictions etc., related to a particular type of crime and state/UT.
• Number of cases in which offenders were others known persons to the victims, neighbours or relatives to the victims etc., related to a particular type of crime and state/UT.

By studying this dataset one might explore different angles by analysing factors like:

• What are the top states with high rate criminal activities? Which areas are relatively safer?
• Are any states witnessing higher incidences than national average levels? Alternatively, are there any regions which have recorded lower rates than national average levels?
• What is trend between sub crimes across India both regional & time wise? How has it changed over time ? (2001-20) ;
Movement among crimes on monthly basis during period 2001 - 2020 Comparison among ages , genders & professions involved with Crime Rates && Timeline comparison between Types Of Crime , Crimes Involving Police Personnel Contractors in Crimes as timeline . Immigration Report . Is absolute difference btw urban & rural up from previous years ? Open conversations about what government efforts need more focus & why . Fundamentals impacting reducing / increasing rate behind closed doors . Any impactful key insights about SelfDefence Degree given out that year highlighting decreasing / increasing amount if increase thenwhat extra activity got curated btw that law was enacted vs before enactment if possible Outliers Analysis on same murders done by pediphiles or sexual assault against women under minorities if exists

Research Ideas

• Analyzing crime trends over time by analyzing the Year, Sub_group and Area_Name columns to understand different types of crimes and patterns of criminal activity in India.

• Evaluating the effectiveness of police response to different types of crimes, such as comparing the CPA_-_Cases_Registered, CPA_-_Cases_Reported_for_Dept._Action and CPB_-_Police_PersonnelAcquitted data fields across different time periods, sub-groups and areas to assess how well law enforcement is responding to crimes reported.

• Tracking changes in punishment awarded for different crimes by analyzing the CPC_-_Police_-Personnel_-Major-Punishment_-awarded data field for changes over ti...

The transportation sub-index of the CPI basket in India increased to 173.70 points in August of 2025 from 173.50 points in July of 2025. This dataset provides - India Cpi Transportation- actual values, historical data, forecast, chart, statistics, economic calendar and news.