Uttar Pradesh

  • Capital:Lucknow
  • Languages:Hindi, Urdu
  • First Person:Anandiben Mafatbhai Patel (Governor)
  • Second Person:Sri Yogi Adityanath (Chief Minister)
  • Population (persons):230907000 (2021)
  • Area sq.km:240928 (2022)
  • Population Density (persons/sq.km):958,406660911144 (2021)
  • Sex Ratio (Females per 1000 males):912 (2011)
  • Gov Website
  • Literacy rate (age 7+) (%):67,70 (2011)
  • Work Participation Rate (%):32,9 (2011)
  • Child Workers Population (5-14 years):1927997 (2001)
  • Children aged 11-14 years Attending school (%):69,1 (2001)
  • Literacy rate of 15-24 year-olds (%):66,5 (2001)
  • Gender gap in literacy rate (Male-Female) (%):20,1 (2011)
  • Households holding below Poverty Line Ration cards:27,7 (2008)

Comparar
Todos los conjuntos de datos: C H K M R V
  • C
    • Crime against Children in India
      septiembre 2021
      Fuente: Ministry of Statistics and Programme Implementation, India
      Subido por: Knoema
      Acceso el: 28 septiembre, 2021
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    • Crime Against Foreigners in India
      diciembre 2023
      Fuente: National Crime Records Bureau, India
      Subido por: Knoema
      Acceso el: 12 diciembre, 2023
      Seleccionar base de datos
      India: Crime against Foreigners
    • Crime against Women in India
      diciembre 2023
      Fuente: National Crime Records Bureau, India
      Subido por: Knoema
      Acceso el: 15 enero, 2024
      Seleccionar base de datos
      India: Crime Against Women
    • Crime Committed by Foreigners in India
      diciembre 2023
      Fuente: National Crime Records Bureau, India
      Subido por: Knoema
      Acceso el: 11 diciembre, 2023
      Seleccionar base de datos
    • Crime Index by Numbeo
      abril 2024
      Fuente: Numbeo
      Subido por: Knoema
      Acceso el: 24 abril, 2024
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      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.
    • Cyber Crimes in India
      diciembre 2023
      Fuente: National Crime Records Bureau, India
      Subido por: Knoema
      Acceso el: 12 diciembre, 2023
      Seleccionar base de datos
      India: Cyber ​​Crimes
  • H
  • K
  • M
  • R
    • Regional Social and Environmental indicators
      noviembre 2023
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 06 noviembre, 2023
      Seleccionar base de datos
      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).
  • V