Bhopal

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.

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.

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

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

District wise per capita income of Madhya Pradesh at current and constant prices. Per capita income, also known as income per person, is the mean income of the people in an economic unit such as a country, state or District. It is calculated by taking a measure of all sources of income in the aggregate (such as GDP or Gross national income) and dividing it by the total population of country, state or District.

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: 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

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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: 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

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

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

Note- Updated every Saturday