Puducherry, India

Note: Please be noted, the India fiscal year is represented in the following manner with an example of: the value for 2022-23 is shown under "2023";   

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.

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

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.

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.

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.

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

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.

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

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

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).  

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

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.   

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

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)