NCT of Delhi

Note: AT&C Losses (%) for Utilities Selling Directly to Consumers

All India level Gross Area under Irrigation by Sources and Crop

The latest month average retail price data is provisional and the final figures will be available in source only at the end of the month.

The latest month average retail price data is provisional and the final figures will be available in source only at the end of the month.

  Data on Police Organisation in India - an annual publication of Bureau of Police Research is a compilation of important statistics about Police Force of States and Union Territories as well as Central Armed Police Forces of the Union   Other topics dataset reference link:- https://knoema.com/POBUI2020/police-budget-in-india https://knoema.com/INBPIPHR2020/indian-police-human-resource https://knoema.com/INBPPI2019/police-infrastructure-statistics-of-india

Annual outcomes of crop area and production by product in Brazil from Brazilian Institute of Geography and Statistics (IBGE)

Data values of Number are in Million and Amount are in Rs. Billion; For 'Chennai' and 'New Delhi' Centre, Cheque Truncation System (CTS) implemented in New Delhi and Chennai - grid. The Chennai - grid includes some of the clearing houses in the state of Andhra Pradesh, Karnataka, Kerala, Punjab (Ludhiana), Tamil Nadu, West Bengal (Kolkata), and Union Territories of Puducherry and Chandigarh; For 'Jammu' Centre, Settlement of MICR Clearing is being done in the book of Reserve Bank of India effective November, 2009; The data includes cheque clearing for both i. e. clearing houses managed by Reserve Bank Of India and clearing houses managed by other banks; Paper based inter-bank clearing has been discontinued at all the centres since June, 2005. The other MICR Centres are Agra, Allahabad, Amritsar, Aurangabad, Anand, Baroda, Belgaum, Bhavnagar, Bhilwara, Calicut, Coimbatore, Cuttak, Dehradun, Erode, Gorakhpur, Gwalior, Hubli, Indore, Jabalpur, Jalandhar, Jamshedpur, Jamnagar, Jodhpur, Kochi, Kolhapur, Kota, Lucknow, Ludhiana, Madurai, Mangalore, Mysore, Nasik, Panaji, Pune, Pondichery, Raipur, Rajkot, Ranchi, Salem, Surat, Sholapur, Thrissur, Tiruchirapalli, Tirunelvelli, Tirupur, Udaipur, Varanasi, Vijaywada and Vishakhapatnam; Totals may not tally due to rounding off of figures; Source: Department of Payment and Settlement Systems.

Data cited at: Wikipedia https://en.wikipedia.org Topic:Female foeticide in India Publication URL: https://en.wikipedia.org/wiki/Female_foeticide_in_India License : https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License

The data refers to the statistics of land utilization constitute one of the important items required for planning and development of policy formulation in agriculture. The Directorate of Economics and Statistics in the Ministry of Agriculture has been collection data on the nine fold classification of land, irrigated area (source wise and crop wise) and total area under crops from States and union territories in the country. A web based application can be viewed at http://lus.dacnet.nic.in with four modules: Land Use Classifications, Source wise Irrigation, Crop wise Irrigation and Area under Crops. This application is being used to collect data on how the geographical land is being used under different classifications including irrigated area of different water sources, crop wise irrigated and un-irrigated area. The data is being used for study and analysis of land-use pattern, crop diversifications, impact of the different on-going schemes on irrigation and crops, and for formulation of new schemes. Additionally it also facilitates study of Land Use Pattern, Percentage of Irrigation Availability for each crop and District Wise un-irrigated Crop Production. Various analytical reports include: Source Wise Irrigation, Percentage Availability of water from different sources for crop production and State wise including Time Series Report for Land Use Classification.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Agriculture and Farmers WelfareDepartment of Agriculture, Cooperation and Farmers WelfareDirectorate of Economics and Statistics (DES)   Keywords: LUS; area; land; statistics   Group: LUS   Sectors: Statistics; Agriculture   Note: Data will be updated every year.

Climate Change Knowledge Portal: CMIP6 Mean Projections

The year 2022-2023 is considered as 2023.

Note: FY2000-01 referred as 2001. Source: Ministry of Corporate Affairs

This is the New Series of Consumer Price Index for Rural & Urban with base year 2012. Published by Central Statistical Office and released on 12th of every month. It covers (1) All India Consumer Price Index (Rural/Urban) (2) State Level Consumer Price Index (Rural/Urban) Up to October 2016

Consumption of Electricity in India

Note:- Collected links "https://ncrb.gov.in/hi/node/2742", "https://ncrb.gov.in/sites/default/files/PSI-2019-27-08-2020.pdf"

These Community Mobility Reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19. The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.

India: Crime against Foreigners

India: Crime Against Women

Cyber Crimes against Children

India: Cyber ​​Crimes

This database of official statistics originating from various Government of India ministries and departments will provide important insights and dimensions of various socio-economic concerns for the development of the country and its human capital. Users can drill down through levels of disaggregation of data — National, State, District, and Sub-districts—and extract information, and present the statistical measures of the indicators in the form of map, graph or table using the built-in wizards. data cited at: http://www.devinfo.org/libraries/aspx/Catalog.aspx

A disabled person who did not at all work during the reference period was treated as non-worker. The non-workers broadly constitute Students who did not participate in any economic activity paid or unpaid, household duties who were attending to daily household chores like cooking, cleaning utensils, looking after children, fetching water etc. and are not even helping in the unpaid work in the family form or cultivation or milching, dependant such as infants or very elderly people not included in the category of worker, pensioners those who are drawing pension after retirement and are not engaged in any economic activity. Beggars, vagrants, prostitutes and persons having unidentified source of income and with unspecified sources of subsistence and not engaged in any economically productive work during the reference period. Others, this category includes all Non-workers who may not come under the above categories such as rentiers, persons living on remittances, agricultural or non-agricultural royalty, convicts in jails or inmates of penal, mental or charitable institutions doing no paid or unpaid work and persons who are seeking/available for work   Note: Data cited at https://data.gov.in/catalog/disabled-non-workers-type-disability-and-sex-india-and-states

Note: After 18 months of daily updates, source has stopped operations on 31st October, 2021. At source, the data is available from January 2020 to October 2021.

This dataset covers both Decennial Population by Census and  Population across various districts in India

Title: District-wise crimes under various sections of Indian Penal Code (IPC) crimes   Description: The data refers to district wise details on crimes committed under Indian Penal Code (IPC) during the years . The nature of such crimes includes Murder, Attempt To Murder, Culpable Homicide Not Amounting To Murder, Rape, Custodial Rape, Other Rape, Kidnapping & Abduction, Kidnapping And Abduction Of Women And Girls, Kidnapping And Abduction Of Others, Dacoity, Preparation And Assembly For Dacoity, Robbery, Burglary, Theft, Auto Theft, Other Theft, Riots, Criminal Breach Of Trust, Cheating, Counterfeiting, Arson, Hurt/Grevious Hurt, Dowry Deaths, Assault On Women With Intent To Outrage Her Modesty, Insult To Modesty Of Women, Cruelty By Husband Or His Relatives, Importation Of Girls From Foreign Countries, Causing Death By Negligence and Other IPC Crimes.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Home AffairsDepartment of StatesNational Crime Records Bureau (NCRB)   Keywords: Crime; IPC; Penal; code   Group: Crime Statistics   Sectors: Statistics; Police; Home Affairs and Enforcement   Note: Figures are in number. The districts are police districts and also include special police unit. Therefore these may be different from revenue districts. Source: Crime in India 2013, National Crime Records Bureau (NCRB).

Note: CGWB does not have ground water monitoring wells in the states/UTs of: 1. Sikkim 2. Mizoram 3. Manipur 4. Lakshadweep **Nagaland: No data available during premonsoon 2018

Environment Statistics of Afghanistan 

Educational Standard of Inmates at the End of the Year During 2013, India

FY 2000-01 is considered as year 2000

1: Most surveys were administered using the Enterprise Surveys Global Methodology as outlined in the Methodology page, while some others did not strictly adhere to the Enterprise Surveys Global Methodology. For example, for surveys which do not follow the Global Methodology, the Universe under consideration may have consisted of only manufacturing firms or the questionnaire used may have been different from the standard global questionnaire. Data users should exercise caution when comparing raw data and point estimates between surveys that did and did not adhere to the Enterprise Surveys Global Methodology. For surveys which did not adhere to the Global Methodology plus Afghanistan 2008, any inference from one of these surveys is representative only for the data sample itself. 2: Regional and "all countries" averages of indicators are computed by taking a simple average of country-level point estimates. For each economy, only the latest available year of survey data is used in this computation. Only surveys, posted during the years 2009-2017, and adhering to the Enterprise Surveys Global Methodology are used to compute these regional and "all countries" averages. 3: Descriptions of firm subgroup levels, e.g. how the ex post groupings are constructed, are provided in the Indicator Descriptions (PDF, 710KB) document. 4: Statistics derived from less than or equal to five firms are displayed with an "n.a." to maintain confidentiality and should be distinguished from ".." which indicates missing values. Also note for three growth-related indicators under the "Performance" topic, these indicators are not computed when they are derived from less than 30 firms. 5: Standard errors are labeled "n.c.", meaning not computed, for the following:    1) indicators for all surveys that were not conducted using the Enterprise Surveys Global Methodology and    2) for indicator breakdowns by ex post groupings: exporter or ownership type, and gender of the top manager.

Source: Ministry of Law and Justice. (1) The expenditure also includes the Govt. of India's share paid to the respective State Govt. by Govt. of India in connection with the election to the 14th Lok Sabha. The figures of '2004' also includes expenditure incurred on State/UT Legislative Assemblies elections which held with '2004' Lok Sabha elections. (2) Figures relates to demand received from State/Uts for conducting of general election 2009 of Lok Sabha. (3) Values of 2016 are Provisional Release. (4) Release for the year 2017-18 upto 31st August,2017

Financial Outcomes Under NREGA : Expenditure details

Data citation: Data retrieved from the Area Database of the Global Data Lab, https://globaldatalab.org/areadata/, version v4.2.Smits, J. GDL Area Database. Sub-national development indicators for research and policy making. GDL Working Paper 16-101 (2016).

Macro Economic indicators for Afghanistan 

Note: FY2011-12, FY2012-13, FY2013-14, FY2014-15, FY2015-16, FY2016-17, FY2017-18, FY2018-19, FY2019-20 have been considered as 2011, 2012,2013,2014,2015 , 2016,2017,2018,2019 respectively.

Health Sector Facts and Figures of Ghana

The Global Consumption Database is a one-stop source of data on household consumption patterns in developing countries. It is designed to serve a wide range of users—from researchers seeking data for analytical studies to businesses seeking a better understanding of the markets into which they are expanding or those they are already serving.   The data are based on national household surveys, which collect information for a group of households representative of the entire country. For each of the countries covered, the resulting datasets have been used to calculate the share of the population at different levels of consumption.   Four levels of consumption are used to segment the market in each country: lowest, low, middle, and higher. They are based on global income distribution data, which rank the global population by income per capita. The lowest consumption segment corresponds to the bottom half of the global distribution, or the 50th percentile and below; the low consumption segment to the 51th–75th percentiles; the middle consumption segment to the 76th–90th percentiles; and the higher consumption segment to the 91st percentile and above.   The Global Consumption Database is the most comprehensive data source to date on consumer spending patterns in developing countries. It builds on the 2007 report The Next 4 Billion, published by IFC (a member of the World Bank Group) and the World Resources Institute.

Title: Gross power generation   Description: The data refers to details on gross power generation by States, Electricity Departments (EDs), Central sector and Imports from Bhutan during the year.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: NITI Aayog / Planning Commission   Keywords: electricity; Department; ED; Import   Group: State power utilities and Electricity Departments   Sectors: Power and Energy   Note: All India generation exclude imports from Bhutan. Source: Power and Energy Division, Planning Commission.

Global Burden of Disease Study 2016 (GBD 2016) Healthcare Access and Quality Index Based on Amenable Mortality 1990–2016. Global Burden of Disease Study 2016 (GBD 2016) estimates were used in an analysis of personal healthcare access and quality for 195 countries and territories, as well as selected subnational locations, over time. This dataset includes the following global, regional, national, and selected subnational estimates for 1990-2016: age-standardized risk-standardized death rates from 24 non-cancer causes considered amenable to healthcare; age-standardized mortality-to-incidence ratios for 8 cancers considered amenable to healthcare; and the Healthcare Access and Quality (HAQ) Index and individual scores for each of the 32 causes on a scale of 0 to 100. Code used to produce the estimates is also included. Results were published in The Lancet in May 2018 in "Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016

In December 2022, IHME paused its COVID-19 modeling. IHME has developed projections for total and daily deaths, daily infections and testing, hospital resource use, and social distancing due to COVID-19 for a number of countries. Forecasts at the subnational level are included for select countries. The projections for total deaths, daily deaths, and daily infections and testing each include a reference scenario: Current projection, which assumes social distancing mandates are re-imposed for 6 weeks whenever daily deaths reach 8 per million (0.8 per 100k). They also include two additional scenarios: Mandates easing, which reflects continued easing of social distancing mandates, and mandates are not re-imposed; and Universal Masks, which reflects 95% mask usage in public in every location. Hospital resource use forecasts are based on the Current projection scenario. Social distancing forecasts are based on the Mandates easing scenario. These projections are produced with a model that incorporates data on observed COVID-19 deaths, hospitalizations, and cases, information about social distancing and other protective measures, mobility, and other factors. They include uncertainty intervals and are being updated daily with new data. These forecasts were developed in order to provide hospitals, policy makers, and the public with crucial information about how expected need aligns with existing resources, so that cities and countries can best prepare. Dataset contains Observed and Projected data

Note: Calculation based on four quarter moving average NHB RESIDEX, India’s first official housing price index, was an initiative of the National Housing Bank (NHB) undertaken at the behest of the Ministry of Finance, Government of India. The index was formulated under the guidance of a Technical Advisory Committee (TAC) comprising of stakeholders from the housing market. It was launched in July, 2007 and updated periodically till March 2015, taking 2007 as the base year. During this period, the coverage of NHB RESIDEX was expanded gradually to 26 cities Initially, NHB RESIDEX was computed using market data, which 2010 onwards, was shifted to valuation data received from banks and housing finance companies (HFCs). Thereafter, data was sourced from Central Registry of Securitisation Asset Reconstruction and Security Interest of India (CERSAI) from 2013 to 2015. With a view to make the NHB RESIDEX more current and up-to-date with the prevailing macro-economic scenario, NHB undertook a review of the processes and methodology used for computation of the index along with the base year and segmentation used.

India: Human Trafficking

Title: Incidence of recidivism   Description: The data refers to State/UT-wise incidents of total number of convicts admitted and number of habitual offenders.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Home AffairsDepartment of StatesNational Crime Records Bureau (NCRB)   Keywords: Recidivism; incidence; Prison   Group: Prison Statistics   Sectors: Statistics; Police; Home Affairs and Enforcement   Note: Figures are in number. Prison Statistics India 2013, National Crime Records Bureau (NCRB).

Income Tax Department Time Series Data

India Census Data by district wise, 2011

This dataset covers both Decennial Population by Census and Area & Population across various states in India

The Indian Census is the most credible source of information on Demography (Population characterstics), Economic Activity, Literacy and Education, Housing & Household Amenities, Urbanization, Fertility and Mortality, Scheduled Castes and Scheduled Tribes, Language, Religion, Migration, Disability and many other socio-cultural and demographic data since 1872. 2011 Primary Census Abstract data cover all state and districts in India.

Source: Planning Commission, "Data for use of Deputy Chairman, Planning Commission", 10th April 2012.

India district wise statistics at a glance, 2011

Projected Population by Sex and Age as on 1st March - 2011 - 2036 

This database underpins the analysis in the report “More Power to India: The Challenge of Electricity Distribution”. The database is a collection of primary and secondary data on the Indian power sector, collected at the utility and state levels. It covers 87 power utilities and 29 states and spreads over the years 2003 to 2011 across dimensions such as operational and financial performance, market structure, implementation of reforms and corporate and regulatory governance.

Note: FY2000-01 referred as 2001. MOSPI source: Transport Research Wing, Ministry of Road Transport and Highways

India State wise statistics at a glance, 2013

Note: The Ministry of Health and Family Welfare has stopped publishing cumulative COVID-19 cases (Total Confirmed Cases of COVID-19) since 27th July 2020. Kneoma has calculated the cumulative cases by adding "Active Cases + Cured/Discharged/Migrated+Death Cases starting from 28th July 2020.

Source: India Sixth Economic Census 2014 http://mail.mospi.gov.in/index.php/catalog/ECO   ESTABLISHMENT: Those enterprises, which have got at least one hired worker on a 'fairly regular basis' are called establishments. ENTERPRISE: An enterprise is an undertaking which is engaged in the production and/or distribution of some goods and/or services mainly for the purpose of sale, whether fully or partly. An enterprise may be owned and operated by a single household or by several households jointly, or by an institutional body.

Source: India Sixth Economic Census 2014 http://mail.mospi.gov.in/index.php/catalog/ECO   ESTABLISHMENT: Those enterprises, which have got at least one hired worker on a 'fairly regular basis' are called establishments. ENTERPRISE: An enterprise is an undertaking which is engaged in the production and/or distribution of some goods and/or services mainly for the purpose of sale, whether fully or partly. An enterprise may be owned and operated by a single household or by several households jointly, or by an institutional body.

Single Year Age data for India

Production of Selected Commodities (Regional), 2016   This dataset covers the following topics from (i) MILL PRODUCTION OF COTTON YARN, (ii) PRODUCTION OF COTTON CLOTH, (iii) PRODUCTION OF MAN-MADE FIBER FABRICS, (iv) PRODUCTION OF SELECTED ITEMS. Note: 2010 data is provisional. FY2000-01 referred as 2001. This Dataset consists of Production data is based on the information received from the source agencies and not the total Production in the country, of respective items. Source: Office of the Textile Commissioner, Ministry of Textiles

This dataset covers production of milk, wool and eggs in India. Note : Data refers to market year, for example data for 2001-02 market year is uploaded as year 2002

Indian Households by Availability of Separate Kitchen and Type of Fuel Used for Cooking, by Town/Tehsils

Indian Households by Availability of Type of Latrine Facility, by Town/Tehsils

India's Economic Survey: Human Development Indicator Notes: 1. Literacy rates for 1951, 1961 and 1971 Censuses relate to population aged five years and above and from 1981 onwards literacy rates relate to the population aged seven years and above. The literacy rate for 1951 in case of West Bengal relates to total population including 0-4 age group. Literacy rate for 1951 in respect of Chhatisgarh, Madhya Pradesh and Manipur are based on sample population. 2. Arunachal Pradesh Census conducted for the first time in 1961 3. India and Manipur figures includes estimated population for those of the three sub-divisions viz. Mao Maram, Paomata and Purul Senapati district of Manipur as census results of 2001 in these three sub-divisions were cancelled due to technical and administrative reasons.

India's Economic Survey: Per Capita Net State Domestic Product at Current Prices, 2017-18

1. Public Sector Banks (PSBs) comprises of State Bank of India and its associates, Nationalised banks and 'Other Public Sector Banks'. 'Other Public Sector Banks' comprises IDBI Bank Limited and Bharatiya Mahila Bank Ltd. 2. Aggregate deposits represent the demand and time liabilities of a bank (excluding inter-bank deposits). The Gross Bank Credit represents bank credit (excluding inter bank advances) as per form 'A' return under section 42(2) of RBI Act 1934 together with outstanding amount of bills rediscounted with RBI/financial institutions. 3. Share of Priority sector advances based on the Annual returns received from PSBs.

Title: Industrial Disputes By Causes   Description: The Industrial Disputes regulates how employers may address industrial disputes such as lockouts, layoffs, retrenchment etc. It controls the lawful processes for reconciliation, adjudication of labour disputes. The Act also regulates what rules and conditions employers must comply before the termination or layoff of a workman who has been in continuous service for more than one year with the employer.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Statistics and Programme Implementation   Keywords: BONUS; Employment; Labour; wages; Allowance; industrial; Dispute   Group: Labour and Employment   Sectors: Statistics; Labour and Employment   Note: Source: Labour Bureau Shimla, Ministry of Labour and Employment and also published in statistical year book 2015 by MOSPI. Notes;(P)=Provisional. (-)=Nil

Data cited at: Prof.Prof. Lauren Gardner; Center for Systems Science and Engineering at John Hopkins University, blog Post -  https://systems.jhu.edu/research/public-health/ncov/   On December 31, 2019, the World Health Organization (WHO) was informed of an outbreak of “pneumonia of unknown cause” detected in Wuhan City, Hubei Province, China – the seventh-largest city in China with 11 million residents. As of February 04, 2020, there are over 24,502 cases confirmed globally, including cases in at least 30 regions in China and 30 countries.  Interests: In-Market Segments Knoema All Users   Knoema modified the original dataset to include calculations per million.   https://knoema.com/WBPEP2018Oct https://knoema.com/USICUBDS2020 https://knoema.com/NBSCN_P_A_A0301 https://knoema.com/IMFIFSS2017Nov https://knoema.com/AUDSS2019 https://knoema.com/UNAIDSS2017 https://knoema.com/UNCTADPOPOCT2019Nov https://knoema.com/WHOWSS2018 https://knoema.com/KPMGDHC2019

India: Kidnapping and Abduction

Other Related Topic: Area, Production and Yield of Principal Crops in India

The Border Roads Organisation (BRO) is a road construction executive force in India that provides support to and is a part of the Indian Armed Forces. BRO develops and maintains road networks in India's border areas and friendly neighboring countries. Note: For 2018 value, As on 31.03.2018    

License Fee and Spectrum Charges in Respect of All the Telecom Service Providers in India

India: Regional statistics on livestock and poultry

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We define our day as midnight-to-midnight, Pacific time. Cities represent usage in greater metropolitan areas and are stably defined during this period. In many countries/regions and cities, relative volume has increased since January 13th, consistent with normal, seasonal usage of Apple Maps. Day of week effects are important to normalize as you use this data. Data that is sent from users’ devices to the Maps service is associated with random, rotating identifiers so Apple doesn’t have a profile of your movements and searches. Apple Maps has no demographic information about our users, so we can’t make any statements about the representativeness of our usage against the overall population. This information will be available for a limited time during the COVID‑19 pandemic.

India: Mortality Database This Dataset contains State-wise Estimated Birth Rates, Death Rates And Infant Mortality Rates By Residence

India: Motor vehicles registered and transportation statistics

District Wise total MSME Registered Enterprises in India Note- Dataset updating frequently, Knoema dataset is scheduled to update once daily

Title: Udyog Aadhaar Memorandum ( MSME Registration )   Description: MSME Registration data from Sept.2015 to Till date   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Micro, Small and Medium Enterprises   Keywords: MSME; Aadhaar; UAM; MSME Registration Data; Udyog Aadhaar   Group: MSME Registration   Sectors: Small Scale; Micro; Medium   Note: NA

MSME-total MSME Registered Service Enterprises in India, retrieved from OGD platform of India   

District Wise Total MSME Registered Service Enterprises Till Last Date, India Title: Udyog Aadhaar Memorandum ( MSME Registration )   Description: MSME Registration data from Sept.2015 to Till date   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Micro, Small and Medium Enterprises   Keywords: MSME; Aadhaar; UAM; MSME Registration Data; Udyog Aadhaar   Group: MSME Registration   Sectors: Small Scale; Micro; Medium   Note: NA

India: Murder

This dataset describes about the list of tables that corresponds to National Income of India. Notes: Financial Year 2017-2018, 2018-2019 2019-2020 2020-2021 have been considered as 2018, 2019, 2020 2021 respectively.

Title: Prison inmates trained under different vocational trainings   Description: The data refers to State/UT-wise and vocational course wise number of training provided to prison inmates. The vocational course are categorized as steel unit, phenyl, soap unit, weaving, tailoring unit, durry unit, dyeing unit, printing unit, coir, book binding, etc.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Home AffairsDepartment of StatesNational Crime Records Bureau (NCRB)   Keywords: Prison; Inmate; Trained; vocational; Training   Group: Prison Statistics   Sectors: Statistics; Police; Home Affairs and Enforcement   Note: Figures are in number. Prison Statistics India 2013, National Crime Records Bureau (NCRB).

Title: Number of Registered Allopathic Doctors And Dental Surgeons   Description: The data refers to the number allopathic doctors and dental surgeons registered with state medical councils for 2010 and 2011 (only for 2010 for allopathic doctors).   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Statistics and Programme Implementation   Keywords: Registered; Allopathic; Doctor; Dental; Surgeon   Group: Health and Family Welfare   Sectors: Statistics; Health; Health and Family welfare   Note: Data taken from Statistical Year Book of India - 2013, CSO Source: Ministry of Health & Family Welfare; NA - Not Available; NULL - Blank; Note: 1. Figures of Medical Practitioners are related to doctors registered with State Medical Councils; 2. Figures of Dental Surgeons are related to doctors registered with Central/State Councils.

Title: Number of Newly Registered Motor Vehicles and Number of Registered Motor Vehicles in India   Description: The data refers to Number of Newly Registered Motor Vehicles and Number of Registered Motor Vehicles in India. Registered Motor Vehicles have been categorized in two broad categories, Transport and Non Transport. Multi-axled/ Articulated Vehicles/ Trucks and Lorries, Light Motor Vehicle (Goods),Buses,Taxis,Light Motor Vehicle (Passengers Auto) are falling under Transport Category and Two Wheelers,Cars,Jeeps,Omni Buses,Tractors,Trailers & Others are falling under Non Transport Category.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Road Transport and Highways   Keywords: Newly; Registered; Motor; vehicle   Group: Road Transport   Sectors: Road Transport; Transport   Note: All figures are in numbers; Source: Offices of State Transport Commissioners/UT Administrations; *: includes other vehicles not covered in item numbers I to VII of Transport Vehicles; The data has been sourced from Road Transport Year Book-2011-12.

Note: Data taken from Energy Statistics India 2021 

Outlook Magazine: Top Engineering Colleges in India

Peak Power Supply Position Report

Title: Percentage Of Households With No Latrine Facilities In Rural India   Description: The data refers to percentage of households with no latrine facilities in Rural India in all the States and UTs of India in the years 2001 and 2011.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: NITI Aayog/Planning Commission   Keywords: Rural; Household; Latrine   Group: Sanitation   Sectors: Rural   Note: Census of India, 2011 (Dataset provided by Shri P.K. Jha, Deputy Adviser (WR), Planning Commission) - Twelfth Five Year Plan Document

Police Budget, India

Police Infrastructure, India

Note: 1. Population data for 2012 - 2036 are projected. 2. Knoema provides the calculated indicator "Average Household Size" based on the following formula: (Average household size = population/number of households).  

Data for the time period of 2018-2019

Data cited at: Directorate of Marketing & Inspection (DMI),Ministry of Agriculture and Farmers Welfare, Government of India and data retrieved from data.gov    Title: Current daily price of various commodities from various markets (Mandi)   Description: The data refers to prices of various commodities. It has the wholesale maximum price, minimum price and modal price on daily basis. This dataset is generated through the AGMARKNET Portal (http://agmarknet.gov.in), which disseminates daily market information of various commodities.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Agriculture and Farmers WelfareDepartment of Agriculture, Cooperation and Farmers WelfareDirectorate of Marketing and Inspection (DMI)   Keywords: mandi; Agriculture; Market; Commodity; Price; Rate   Group: Agricultural Marketing   Sectors: Agricultural Marketing; Agriculture

Title: Annual Survey of Industries   Description: The Annual Survey of Industries (ASI) is the principal source of Industrial Statistics in India. The data includes evaluation of the Principal characteristics of factories, employees, capital, net and gross value, benefits and funds etc over a period of time on annual basis.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Statistics and Programme Implementation   Keywords: ASI; Annual; Result; Principal; Characteristic   Group: Industries   Sectors: Industries   Note: Value Figures in Rs. Lakhs & Others in Numbers

The dataset contains comprehensive statistics on a range of aspects like distribution & nature of prison institutions, overcrowding in prisons, type of prison inmates, prison inmates lodged under various IPC &; SLL crimes with their detention period, demographic features of inmates, details on vocational training, jail inspections & visits, Strength & Training of jail officials and Prison budget & expenditure.

Data cited at:  National Institutional Ranking Framework

Indian Road Accident Statistics - Number of Road Accidents, Persons Killed and Injured

Data cited at: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2019 (GBD 2019) Socio-Demographic Index (SDI) 1950–2019. Seattle, United States of America: Institute for Health Metrics and Evaluation (IHME), 2020.

Title: Capacity of jails by inmates population   Description: The data refers to State/UT-wise and prison wise total number of prisons, the capacity of jails by sex of prisoners and actual inmates population lodged at the end of the each of the reference year. The actual and total capacity of prisons are categorized by male and female population.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Home AffairsDepartment of StatesNational Crime Records Bureau (NCRB)   Keywords: capacity; Population; Inmate; Women; Jail; Prison   Group: Prison Statistics   Sectors: Statistics; Police; Home Affairs and Enforcement  

Note: FY2017-2018, 2018-2019, 2019-2020 and 2020-21 have been considered as 2017, 2018, 2019 and 2020 respectively. Capital Disbursements and Receipts, Expenditure and Revenue of India

Number and Percentage of population below poverty line & Lorenz Ratio are estimated from Monthly per Capita Expenditure (MPCE) based on Mixed Reference Period(MRP)

State wise GDP, India, by Industry Note: FY2016-17, FY2017-18, FY2018-19, FY2019-20 have been considered as 2016, 2017, 2018 and 2019 respectively.   

Title: State/UT wise Percentage Share in Total Registered Motor Vehicles   Description: Get data on State/UT wise Percentage Share in Total Registered Motor Vehicles in India.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Road Transport and Highways   Keywords: vehicle; Motor; Registered   Group: Road Transport   Sectors: Road Transport; Transport   Note: NA: Not Reported

Title: State/UT wise total and surfaced length of Project roads in India   Description: The data refers to state/UT wise total and surfaced length of Project roads in India.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Road Transport and Highways   Keywords: Project; Surfaced; Roads; Urban   Group: Roads   Sectors: Road Transport; Transport   Note: All figures are in kilometre; The data is sourced from 1.State Departments of Forest,2.Irrigation Departments of States,3.State Departments of Electricity,4.State Sugarcane Departments,5.Coal Departments of State Governments,6.Steel Authority of India Ltd,7.National Mineral Development Corporation; Totals may not add up because of rounding off of decimals.

Title: State/UT wise total and surfaced length of roads in India   Description: The data refers to state/UT wise total and surfaced length of roads in India.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Road Transport and Highways   Keywords: Surfaced; Road; Length   Group: Roads   Sectors: Road Transport; Transport   Note: All figures are in Kilometre; Totals may not add up because of rounding off of decimals;S stands for Surfaced and T stands for Total.

 Crime in India - 2020    

Title: Crime in India - 2019   Description: Catalog contains data of Crime in India - 2019. Get information on Cognizable crimes registered, IPC crimes, SLL cases, Violent crimes, Murder and culpable homicide not amounting to murder, Victims of murder, Victims of culpable homicide not amounting to murder, Murdered by use of fire arms, Unidentified dead bodies recovered and inquest conducted, Victims of kidnapping & abduction, Disposal of crime cases, Charge sheet of crimes, Complaint received and case registered under IPC and SLL, Conviction rate , Detail of courts and period of trials, Crimes committed against women, Victims of rape cases, Offenders relation and nearness to rape victims, Crimes committed against children, Crime committed against scheduled castes and schedule tribes, Property stolen & recovered and percentage recovery, Vehicles stolen, Recovered and co-ordinated, Dacoity cases, Robbery cases, Burglary cases, Theft cases, Cultural property (including antiques) stolen and recovered, Cognizable crime registered & their disposal, Juvenile delinquency under different crime heads, Juveniles apprehended, Disposal of juveniles arrested, Classification of juveniles arrested, Recidivism amongst persons arrested, Disposal of persons arrested, Deaths in police custody /lockup, Escapes from police custody, Reported custodial rape cases and their disposal, Persons arrested under custodial ,Rape and their disposal by police and courts, Event wise persons killed or injured under police firing, Police personnel killed or injured on duty, Police personnel died (natural deaths) while in service, Police personnel committed suicide while in service, Rank wise police personnel killed or injured on duty, Complaints/cases registered against personnel, Incidence of human right violation by police, Sanctioned and strength of civil police including district armed police, Information on police housing, Sanctioned and actual strength of home guards and auxiliary force, Equipments and transport support, Police stations by volume of crime, Police stations by strength of personnel, Organization setup, Representation of SCs/STs and muslims in police etc.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Home AffairsDepartment of StatesNational Crime Records Bureau (NCRB)   Keywords: Murder; Kidnapping; Police; Crime; Rape; Theft; Importation; Girl; Offender; Victim; Culpable; Homicide; Abduction; Infrastructure; Facility; Suicidal; Death; Trial   Group: Crime   Sectors: Police; Home Affairs and Enforcement   Note: ++: Crime Rate is calculated as Crime per one lakh of population; +: Population Source: Registrar General of India estimated population of 2017 based on 2001 Census; Rank is based on Incidence (Col.8) as well as on the Crime Rate (Col.11). Both should be

Title: Basic Road Statistics of India : 2016-17   Description: Data of Basic Road Statistics of India : 2016-17. It provides comprehensive information on the total road network of the country. Road Statistics of India contains information on various categories of roads at National, State and Local (Municipal and Panchayat) levels. Apart from this, the information on plan allocation and expenditure on roads and an international comparison of road networks are also provided.  

This dataset covers both Decennial Population by Census and Population across various districts in India

This dataset covers number of houses across various districts in India

Percentage distribution of persons working according to CWS by broad industry of work for each State/ UT

State-Wise Labor Force & Unemployment Rate in India

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The Basic Road Statistics of India, 2017-18 provides a broad overview of road transport sector in the country with focused emphasis on recent development. The broad theme of the publication is to provide an insight into the performance of major indicators of roads across country category-wise.  

Average no. of days worked in a week for workers in CWS and average number of hours actually worked per week considering all the economic activities performed during the week for workers in CWS for each State/ UT

Title: State/UT-wise traffic accidents by month of occurrence   Description: The data refers to State/UT-wise number of traffic accidents by month of occurrence. The traffic accidents are grouped into Road Accidents, Road-Rail Accidents and other Railways Accidents.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Home AffairsDepartment of StatesNational Crime Records Bureau (NCRB)   Keywords: Accident; Death; suicide; Traffic; Road; Railway   Group: Accidental Deaths and Suicides   Sectors: Statistics; Police; Home Affairs and Enforcement   Note: All figures are in number; Accidental Deaths and Suicides in India 2014, National Crime Records Bureau (NCRB).

Source: Central Pollution Control Board, Ministry of Environment and Forests, Govt. of India

The TomTom Traffic Index is published to provide drivers, industry and policy makers with unbiased information about congestion levels in urban areas. Now in its 6th year, we’re offering even more insight into why our urban centers are congested, putting the issue into context, and offering ideas about how the problem can be alleviated. This year, TomTom is also celebrating those cities that deserve special recognition for their efforts to beat traffic congestion, with the TomTom Traffic Index awards.

Note: 2001-2002 data refered as 2002. Source: Ministry of Drinking Water & Sanitation, Govt of India

Production of these unemployment rates and their public distribution is sponsored by CMIE.   The 'Unemployment Rate in India' database provides estimates of the Unemployment Rate based on a panel size of over 178,000 households. Estimations on trailing 30 days data and Monthly data are recorded. The unemployment rate is generated every day for trailing 30 days. Standard monthly measures are also generated.   Note: * The State-wise data has become paid data that requires a subscription. * The latest data for state-wise are not available in this dataset later to March 2023 * The latest updates are maintained only for India - Unemployment Rate (Total)  

India: Violent Crimes

Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/    

Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/  

The ease of doing business score helps assess the absolute level of regulatory performance over time. It captures the gap of each economy from the best regulatory performance observed on each of the indicators across all economies in the Doing Business sample since 2005. One can both see the gap between a particular economy’s performance and the best performance at any point in time and assess the absolute change in the economy’s regulatory environment over time as measured by Doing Business. An economy’s ease of doing business score is reflected on a scale from 0 to 100, where 0 represents the lowest and 100 represents the best performance. For example, an ease of doing business score of 75 in Doing Business 2019 means an economy was 25 percentage points away from the best regulatory performance constructed across all economies and across time. A score of 80 in Doing Business 2020 would indicate the economy is improving   NOTE- The source discontinued this dataset; Reference-Doing Business Legacy (worldbank.org)

The Youth Economic Strategy (YES) Index is part of a Citi Foundation initiative that aims to inspire policymakers, the private sector and key stakeholders to improve opportunities for youth aged 13 to 25. The YES index, which was commissioned by the Citi Foundation and created by The Economist Intelligence Unit, evaluates the economic environment for youth in 35 cities across the world by measuring the drivers and enablers which promote youth economic opportunities- that is, the prospect that a young person can improve his/her economic situation. The index is based on 31 indicators, both quantitative and qualitative and mostly city-based, and offers a robust and comprehensive look at youth-focused policies around the world. The research was conducted between January 2015 and May 2015. Note : Score Range: Score 70.1-100 = Advanced, 50.1-70 = Progressing, 30.1-50 = Emerging, 0-30 = Nascent