List of Brazilian states by human development index

from Wikipedia, the free encyclopedia
Brazil's states according to HDI 2017.
  • 0.800 - 1,000
  • 0.700-0.799
  • 0.600 - 0.699
  • The following list sorts the states of Brazil according to their Human Development Index .

    The Human Development Index is a method of calculating the level of development of a country or region. The HDI not only takes into account the gross national income per capita, but also life expectancy and the duration of training based on the number of school years a 25-year-old has completed and the expected duration of a child's education at school age. The HDI was essentially developed by the Pakistani economist Mahbub ul Haq , who worked closely with the Indian economist Amartya Sen and the British economist and politician Meghnad Desai .

    Calculation method

    As of the Human Development Report 2010, the three dimensions are calculated as:

    • Life expectancy index: life expectancy at birth (LE)
    • Education index: Average school attendance (DSD) and expected school attendance (VSD) in years
    • Standard of living : Gross National Income (GNI) per capita (GNIpk), PPP US $
    1. Life Expectancy Index (LEI)
    2. Education Index (BI)
      2.1. Average School Attendance Index (DSDI)
      2.2. Estimated School Attendance Index (VSDI)
    3. Income Index (EI)

    Finally, the HDI is calculated as a geometric mean from the three dimensions:

    LE: life expectancy at birth

    DSD: Average duration of school attendance (number of years that a person aged 25 or older has attended school)

    VSD: Estimated length of school attendance (number of years a 5-year-old child will likely go to school)

    BNEpk: Gross national income per capita adjusted for purchasing power in US dollars

    States according to HDI

    All 26 states and the capital region according to the development of the Human Development Index from 1995 to 2017. For purposes of comparison, a country with a similar Human Development Index in the same year is also given. With a value of 0.760, Brazil was ranked 79th in the Human Development Index, making it one of the countries with high human development. In Brazil, the southern states in particular achieved a higher level of development. In contrast, the states in the northeast were much less developed.

    rank State HDI 2017 HDI 2010 HDI 2000 HDI 1991 Increase 1991-2017 Comparable

    country

    1 Distrito Federal do BrasilDistrito Federal do Brasil Federal District 000000000000850.00000000000.850 000000000000824.00000000000.824 000000000000725.00000000000.725 000000000000616.00000000000.616   0.234 LatviaLatvia Latvia
    2 São Paulo (State)São Paulo (State) São Paulo 000000000000826.00000000000.826 000000000000783.00000000000.783 000000000000702.00000000000.702 000000000000578.00000000000.578   0.248 ArgentinaArgentina Argentina
    3 Santa CatarinaSanta Catarina Santa Catarina 000000000000808.00000000000.808 000000000000774.00000000000.774 000000000000674.00000000000.674 000000000000543.00000000000.543   0.265 BelarusBelarus Belarus
    4th ParanáParaná Paraná 000000000000796.00000000000.796 000000000000749.00000000000.749 000000000000650.00000000000.650 000000000000507.00000000000.507   0.289 SeychellesSeychelles Seychelles
    5 Rio Grande do SulRio Grande do Sul Rio Grande do Sul 000000000000792.00000000000.792 000000000000746.00000000000.746 000000000000664.00000000000.664 000000000000542.00000000000.542   0.250 TurkeyTurkey Turkey
    6th Rio de Janeiro (State)Rio de Janeiro (State) Rio de Janeiro 000000000000787.00000000000.787 000000000000761.00000000000.761 000000000000664.00000000000.664 000000000000573.00000000000.573   0.214 SerbiaSerbia Serbia
    7th Minas GeraisMinas Gerais Minas Gerais 000000000000787.00000000000.787 000000000000731.00000000000.731 000000000000624.00000000000.624 000000000000478.00000000000.478   0.309
    8th Espírito SantoEspírito Santo Espírito Santo 000000000000778.00000000000.778 000000000000740.00000000000.740 000000000000640.00000000000.640 000000000000505.00000000000.505   0.273 CubaCuba Cuba
    9 Mato GrossoMato Grosso Mato Grosso 000000000000772.00000000000.772 000000000000725.00000000000.725 000000000000601.00000000000.601 000000000000449.00000000000.449   0.323 MexicoMexico Mexico
    10 GoiásGoiás Goiás 000000000000769.00000000000.769 000000000000735.00000000000.735 000000000000615.00000000000.615 000000000000487.00000000000.487   0.282 Bosnia and HerzegovinaBosnia and Herzegovina Bosnia and Herzegovina
    11 Mato Grosso do SulMato Grosso do Sul Mato Grosso do Sul 000000000000766.00000000000.766 000000000000729.00000000000.729 000000000000613.00000000000.613 000000000000488.00000000000.488   0.278
    12 RoraimaRoraima Roraima 000000000000752.00000000000.752 000000000000707.00000000000.707 000000000000598.00000000000.598 000000000000459.00000000000.459   0.293 China People's RepublicPeople's Republic of China People's Republic of China
    13 TocantinsTocantins Tocantins 000000000000743.00000000000.743 000000000000699.00000000000.699 000000000000525.00000000000.525 000000000000369.00000000000.369   0.374 MongoliaMongolia Mongolia
    14th AmapáAmapá Amapá 000000000000740.00000000000.740 000000000000708.00000000000.708 000000000000577.00000000000.577 000000000000472.00000000000.472   0.268
    15th CearáCeará Ceará 000000000000735.00000000000.735 000000000000682.00000000000.682 000000000000541.00000000000.541 000000000000405.00000000000.405   0.330 JordanJordan Jordan
    16 Amazonas (Brazilian state)Amazonas (Brazil) Amazon 000000000000733.00000000000.733 000000000000674.00000000000.674 000000000000515.00000000000.515 000000000000430.00000000000.430   0.303 JamaicaJamaica Jamaica
    17th Rio Grande do NorteRio Grande do Norte Rio Grande do Norte 000000000000731.00000000000.731 000000000000684.00000000000.684 000000000000552.00000000000.552 000000000000428.00000000000.428
    18th PernambucoPernambuco Pernambuco 000000000000727.00000000000.727 000000000000673.00000000000.673 000000000000544.00000000000.544 000000000000440.00000000000.440   0.287 TongaTonga Tonga
    19th RondôniaRondônia Rondônia 000000000000725.00000000000.725 000000000000690.00000000000.690 000000000000537.00000000000.537 000000000000407.00000000000.407   0.318
    20th ParaíbaParaíba Paraíba 000000000000722.00000000000.722 000000000000658.00000000000.658 000000000000506.00000000000.506 000000000000382.00000000000.382   0.340 Saint Vincent GrenadinesSt. Vincent and the Grenadines St. Vincent and the Grenadines
    21st Acre (state)Acre (state) acre 000000000000719.00000000000.719 000000000000663.00000000000.663 000000000000517.00000000000.517 000000000000402.00000000000.402   0.317 SurinameSuriname Suriname
    22nd BahiaBahia Bahia 000000000000714.00000000000.714 000000000000660.00000000000.660 000000000000512.00000000000.512 000000000000386.00000000000.386   0.328 BotswanaBotswana Botswana
    23 SergipeSergipe Sergipe 000000000000702.00000000000.702 000000000000665.00000000000.665 000000000000518.00000000000.518 000000000000413.00000000000.413   0.289 ParaguayParaguay Paraguay
    24 ParáPará Pará 000000000000698.00000000000.698 000000000000646.00000000000.646 000000000000518.00000000000.518 000000000000413.00000000000.413   0.285 South AfricaSouth Africa South Africa
    25th PiauíPiauí Piauí 000000000000697.00000000000.697 000000000000646.00000000000.646 000000000000484.00000000000.484 000000000000362.00000000000.362   0.335 EgyptEgypt Egypt
    26th MaranhãoMaranhão Maranhão 000000000000687.00000000000.687 000000000000639.00000000000.639 000000000000476.00000000000.476 000000000000357.00000000000.357   0.330 IraqIraq Iraq
    27 AlagoasAlagoas Alagoas 000000000000683.00000000000.683 000000000000631.00000000000.631 000000000000471.00000000000.471 000000000000370.00000000000.370   0.313
    Average  000000000000774.00000000000.774  000000000000727.00000000000.727  000000000000612.00000000000.612  000000000000493.00000000000.493   0.281 MexicoMexico Mexico

    Individual evidence

    1. HDR_2013_EN_TechNotes (PDF) Page 2.
    2. ^ Sub-national HDI - Area Database - Global Data Lab. Retrieved August 4, 2018 .
    3. Radar IDHM: evolução do IDHM e de seus índices componentes no período de 2012 a 2017 .
    4. 2013 Human Development Atlas in Brazil ( Portuguese ) In: Database . United Nations Development Program. Retrieved August 5, 2013.