Chennai District

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 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.

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.

India: Crime Against Women

Data cited at: Numbeo Methodology: The Index has been calculated twice per year by considering the latest 36 months. A). Beginning of the Year and B). Mid Year Crime Index is an estimation of the overall level of crime in a given city or a country. We consider crime levels lower than 20 as very low, crime levels between 20 and 40 as being low, crime levels between 40 and 60 as being moderate, crime levels between 60 and 80 as being high and finally crime levels higher than 80 as being very high. Safety index is, on the other way, quite the opposite of crime index. If the city has a high safety index, it is considered very safe.

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

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.

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

Title: District Wise GDP and Growth Rate at Current Price(1999-2000)   Description: Gross domestic product (GDP) at current prices is GDP at prices of the current reporting period. It is the market value of goods and services produced in a country during a year. It is also known as nominal GDP.The data refers to the State-wise District GDP for all districts of the State at 1999-2000 current prices and YoY Growth Rate in GDP (1999-2000 Based Current Prices).   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: NITI Aayog/Planning Commission   Keywords: prices; Gross; domestic; Nominal; Growth   Group: GDP and Growth Rate   Sectors: Prices; Economy   Note: Data processed by Planning Commission, Figures are in Rs Crore.

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 Census Data by district wise, 2011

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.

India district wise statistics at a glance, 2011

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: Kidnapping and Abduction

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

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: 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

Outlook Magazine: Top Engineering Colleges in 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 cited at:  National Institutional Ranking Framework

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

Title: State-Wise Number of Telephones in India   Description: The data refers to State-wise and Circle-wise data related to number of telephones in India (in millions) at end of March of that year. The data covers wireless phones (Fixed DEL, GSM+CSMA and combined total for each category state-wise and circles-wise.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: NITI Aayog/Planning Commission   Keywords: connectivity; Telephone; Wireless; Communication; Telecom   Group: Telecommunications   Sectors: Telecom; Information and Communications   Note: Source : Department of Posts, Ministry of Communications & IT

Title: State-Wise Telephones Statistics per 100 Population in India   Description: The data refers to State-wise and Circle-wise data related to telephones per 100 population at the end of financial year including Public DELs, Pvt. DELs, CMPs and WLL (Fixed & Limited).   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: NITI Aayog/Planning Commission   Keywords: Telephone; statistics   Group: Telecommunications   Sectors: Telecom; Information and Communications   Note: Source : Department of Posts, Ministry of Communications & IT. In these data, Chhattisgarh, Jharkhand, NE-II, Uttaranchal, UP(W) A.N., Chennai are included in MP, Bihar, NE- I,UP[E AND W],WB and TN respectively.

Title: Air Traffic Statistics 2015-16   Description: The catalog Air Traffic Statistics 2015-16 contains Annual/ Month wise various operating and traffic parameters viz, Aircraft utilization, Passengers Carried, Passenger kilometre performed, Available seat kilometre, Cargo Carried, Tonne kilometre performed as well as passenger and weight load factor.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Civil Aviation   Keywords: aircraft; UTILIZATION; passenger; Carried; Kilometre; Performed; Available; Seat; cargo; Tonne; weight; Load; Factor; Civil; Aviation   Group: Air Traffic Statistics   Sectors: Aviation; Transport   Note: Dataset is for Non Scheduled operation Permit Holders; The data in this dataset have been revised and updated as on October 19, 2016; Source: Directorate of Air Transport-I, DGCA.

India: Violent Crimes

Weekly Retail Prices Published by Retail Prices Information System, India The Directorate of Economics & Statistics has been compiling the data on retail prices of various commodities on weekly and monthly frequency sing long. It has also been bringing out retail price data in the annual publication "Agriculture Prices in India". These retail price data are received from all the major states and from various market centers.    DIRECTORATE OF ECONONMICS & STATISTICS, DEPARTMENT OF AGRICULTURE & COOPERATION MINISTRY OF AGRILCULTURE GOVERNMENT OF INDIA NEW DELHI