Meghalaya

  • Capital:Shillong
  • Languages:English, Khasi, Garo
  • First Person:Satya Pal Malik (Governor)
  • Second Person:Conrad K Sangma (Chief Minister)
  • Population (persons):3288000 (2021)
  • Area sq.km:22429 (2022)
  • Population Density (persons/sq.km):146,595924918632 (2021)
  • Sex Ratio (Females per 1000 males):989 (2011)
  • Gov Website
  • Literacy rate (age 7+) (%):74,40 (2011)
  • Work Participation Rate (%):40,0 (2011)
  • Child Workers Population (5-14 years):53940 (2001)
  • Children aged 11-14 years Attending school (%):69,0 (2001)
  • Literacy rate of 15-24 year-olds (%):74,0 (2001)
  • Gender gap in literacy rate (Male-Female) (%):3,1 (2011)
  • Households holding below Poverty Line Ration cards:9,3 (2008)

Comparar

Todos os conjuntos de dados: E L P R S
  • E
  • L
  • P
    • dezembro 2017
      Fonte: Ministry of Statistics and Programme Implementation, India
      Carregamento por: Knoema
      Acesso em 24 outubro, 2019
      Selecionar Conjunto de dados
      Title: Physical outcomes under Mahatma Gandhi National Rural Employment Guarantee Act (NREGA) Description: Get the data about State-wise and All India data on the work completed under NREGA like rural connectivity, flood control and protection, water conservation and water harvesting, micro irrigation work, land development etc.  
  • R
    • novembro 2023
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 06 novembro, 2023
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      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).
  • S
    • julho 2015
      Fonte: National Institution for Transforming India-NITI Aayog
      Carregamento por: Knoema
      Acesso em 12 setembro, 2019
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      Title: Social allocation ratio   Description: Social allocation ratio is calculated as per the formula (Social allocation ratio = social sector expenditure/ total expenditure). It contains Actual, Pre-actual and Budgeted Expenditure for Total expenditure and Social expenditure. The Data contains Actual, Pre-actual and Budgeted Expenditure for Total expenditure, Social expenditure and Social allocation ratio (social sector expenditure/ total expenditure) of states & Uts.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: NITI Aayog/Planning Commission   Keywords: expenditure; Allocation; Ratio   Group: Financial Resources   Sectors: Revenue; Finance   Note: Source: (i) Social Sector Expenditure - Statement 46 of State Finances (RBI) & (ii) Total Expenditure - Fiscal Indicators of the States/Uts. Data processed and generated by the financial resources division, Planning commission.