Tamil Nadu

Title: Impact on Education, Health & Employment under RGGVY Scheme   Description: Rajiv Gandhi Grameen Vidyutikaran Yojana (RGGVY) being implemented in Indian states mostly to provide benefits to households below the “poverty line” (BPL) through a free connection but chargeable consumption of power. The principal aims of RGGVY being implemented since 2005 are the following: (1) Electrifying all villages and habitations as per new definition. (2) Providing access to electricity to all rural households. (3)Providing electricity connection to Below Poverty Line (BPL) families free of charge. The data describes employment /occupation, income levels, educational performance etc.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: NITI Aayog/Planning Commission   Keywords: Education; Rajiv; Gandhi; Grameen; Vidyutikaran; Yojana; Impact; occupation; Performance; Opportunity   Group: Rajiv Gandhi Grameen Vidyutikaran Yojana   Sectors: Power and Energy   Note: Evaluation Report on Rajiv Gandhi Grameen Vidyutikaran Yojana (RGGVY) - May, 2014.

Operating unit-level results for 2016 and prior years represent aggregated totals. For 2015 and 2016, results are available at the subnational level. For 2014 results and prior, the data can only be viewed and explored in aggregate country or regional form. General patterns can be explored for all results, allowing the investigation of trends within and among different operating units. Some variation exists between indicator versions from PEPFAR during 2004-2010, 2011-2014, and 2015-2016. More detail regarding these differences can be found in the indicator reference documents and in reference materials attached to this dashboard.

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

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).

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

Title: Number of Allopathic Hospitals / Dispensaries And Beds   Description: The data refers to State-wise number of Allopathic Government Hospitals, Dispensaries and Beds (in ' 000) for 2010-11.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Statistics and Programme Implementation   Keywords: Hospital; Doctor   Group: Health and Family Welfare   Sectors: Health; Health and Family welfare   Note: Figures taken from Statistical Year Book of India - 2013, CSO Source: Central Bureau of Health Intelligence, Directorate General of Health Services; Notes : 1. Leprosy hospital beds strength not given; 2. Government hospitals includes central government, state governments and local govt. bodies; 3.- Year 2003 onwards, CBHI not compile the information on Number of Dispensaries; A-Total hospital reduced from 2001 due to exclusion of CHCs and non reporting; #-No of doctors possessing recognized medical qualification under ( under I.M.C.Act) and registered with State Medicals/ Medical Council of India; NA - Not Available; NULL - Blank.

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.

The Regional Database contains annual data from 1995 to the most recent available year (generally 2014 for demographic and labour market data, 2013 for regional accounts, innovation and social statistics).   In any analytical study conducted at sub-national levels, the choice of the territorial unit is of prime importance. The territorial grids (TL2 and TL3) used in this database are officially established and relatively stable in all member countries, and are used by many as a framework for implementing regional policies. This classification - which, for European countries, is largely consistent with the Eurostat classification - facilitates greater comparability of regions at the same territorial level. The differences with the Eurostat NUTS classification concern Belgium, Greece and the Netherlands where the NUTS 2 level correspond to the OECD TL3 and Germany where the NUTS1 corresponds to the OECD TL2 and the OECD TL3 corresponds to 97 spatial planning regions (Groups of Kreise). For the United Kingdom the Eurostat NUTS1 corresponds to the OECD TL2. Due to limited data availability, labour market indicators in Canada are presented for a different grid (groups of TL3 regions). Since these breakdowns are not part of the OECD official territorial grids, for the sake of simplicity they are labelled as Non Official Grids (NOG).

Note: 2022 data is till 31st May 2022

Title: Weight measurement of sample children (Quick Evaluation Study)   Description: Anganwadi centre provides basic health care in Indian villages. It is a part of the Indian public health-care system. Basic health-care activities include contraceptive counseling and supply, nutrition education and supplementation, as well as pre-school activities. Weight measurement of children is used to measure malnutrition, Malnutrition is defined in three category first is Stunted, meaning the person has a low height for her age - an indication of chronic malnutrition over a long period of time, Second is Wasted, meaning the person has a low weight for her height - an indication of acute malnutrition in the child at present, third is Underweight, meaning the person has a low weight for her age - a indication of general malnutrition. This data contains the insight of weight measurement of children enrolled in Aganwadi Centers of different states and union territories. Quick Evaluation study on randomly selected Anganwadis (ICDS Program)   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: NITI Aayog/Planning Commission   Keywords: child; Anganwadi; AWC; ICDS; malnutrition; Integrated; Development; Health   Group: Anganwadi Centers   Sectors: Statistics   Note: Male(M); Female(F); Normal (N); Moderately Malnourished (MM); Severally Malnourished (SM); Study by Programme Evaluation Organisation (PEO) to validate the ICDS MIS data in selected States/UTs of the country on sample basis.