Introduced by the United Nations Development Programme (UNDP) in 1990, the Human Development Index (HDI) is a composite statistic of education, income and longevity indices, calculated in order to measure social and economic development within countries. [1] [2] It consists of a number between 0 and 1, comprising five tiers of human development—very low, low, medium, high, or very high—wherein the development is considered higher when closer to 1. [3] According to the latest Human Development Report , published in 2015 and reflecting data from 2014, Brazil placed 75th among 188 countries with an HDI value of 0.755. [4] [5] The UNDP highlighted the "rapid advance" of Brazil in two decades, leaving a situation of low human development (0.590) in 1990, reaching medium development (0.669) in 2000 and, finally, achieving high human development (0.726) in 2010. [6] [7] [8]
In order to bring a human development perspective to the national level, the UNDP also created, in 1998, the Human Development Atlas in Brazil , which calculates the HDI of all the Brazilian administrative divisions, based on data provided by the decennial censuses conducted by the Brazilian Institute of Geography and Statistics (IBGE). [9] [10] Released in 2013, in partnership with the Institute of Applied Economic Research (IPEA) and the João Pinheiro Foundation (FJP), the latest edition of the Human Development Atlas in Brazil shows that the average HDI of the Brazilian federative units grew by 47.5% from 1991 to 2010. [11] [12]
Since the beginning of the statistical series in 1991, the Federal District, which contains the national capital—Brasília—, has the highest HDI among the 27 federative units of Brazil, being the only one to fall in the category of very high human development according to 2010 figures. It also topped every subindex composing the HDI, except for longevity, when, in 1991, it was surpassed by Santa Catarina. Meanwhile, Alagoas set out the lowest HDI since 2000, especially due to a poor performance in education. Tocantins put forward the fastest progress in HDI value (0.330) from 1991 to 2010, while Rio de Janeiro had the smallest increase (0.188). According to the UNDP report, the states of the North and Northeast regions have the lowest indicators, with most municipalities registering low or medium human development, while in the South, more than 65% of municipalities have achieved high human development. The South and Southeast regions and the Federal District have the highest indicators and human development indices. [13] [14]
The methodology used by the UNDP to measure the HDI of all 5,565 Brazilian municipalities and 27 federative units differs from that used for countries. Although it has the same three dimensions of the global HDI—education, income and longevity—it adapts the global methodology to the Brazilian context and the availability of national indicators. [15] Therefore, a comparison between Brazilian federative units and countries is discouraged and the numbers cannot be used as a parameter. The global report uses mean years of schooling and expected years of schooling to evaluate education, while the local report utilizes schooling of the adult population and school flow of young people. [15] In the case of income, while the global report uses GNI per capita (PPP USD), the local report makes use of the Municipal Income per capita (BRL). [15] As for longevity, both use life expectancy at birth as indicator. [15]
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2021 [16] | 2010 | 2000 | 1991 | ||||||||||||||
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Rank | Federative unit | HDI | E | I | L | HDI | E | I | L | HDI | E | I | L | HDI | E | I | L |
1 | Federal District | 0.814 | 0.817 | 0.821 | 0.803 | 0.824 | 0.742 | 0.863 | 0.873 | 0.725 | 0.582 | 0.805 | 0.814 | 0.616 | 0.419 | 0.762 | 0.731 |
2 | São Paulo | 0.806 | 0.839 | 0.771 | 0.810 | 0.783 | 0.719 | 0.789 | 0.845 | 0.702 | 0.581 | 0.756 | 0.786 | 0.578 | 0.363 | 0.729 | 0.730 |
3 | Santa Catarina | 0.792 | 0.790 | 0.759 | 0.827 | 0.774 | 0.697 | 0.773 | 0.860 | 0.674 | 0.526 | 0.717 | 0.812 | 0.543 | 0.329 | 0.648 | 0.753 |
4 | Minas Gerais | 0.774 | 0.762 | 0.718 | 0.846 | 0.731 | 0.638 | 0.730 | 0.838 | 0.624 | 0.470 | 0.680 | 0.759 | 0.478 | 0.257 | 0.618 | 0.689 |
5 | Rio Grande do Sul | 0.771 | 0.750 | 0.767 | 0.797 | 0.761 | 0.675 | 0.782 | 0.835 | 0.664 | 0.530 | 0.745 | 0.740 | 0.573 | 0.392 | 0.696 | 0.690 |
Espírito Santo | 0.742 | 0.715 | 0.864 | 0.740 | 0.653 | 0.743 | 0.835 | 0.640 | 0.491 | 0.687 | 0.777 | 0.505 | 0.304 | 0.619 | 0.686 | ||
7 | Paraná | 0.769 | 0.780 | 0.744 | 0.785 | 0.746 | 0.642 | 0.769 | 0.840 | 0.664 | 0.505 | 0.720 | 0.804 | 0.542 | 0.328 | 0.667 | 0.729 |
8 | Rio de Janeiro | 0.762 | 0.758 | 0.759 | 0.769 | 0.749 | 0.668 | 0.757 | 0.830 | 0.650 | 0.522 | 0.704 | 0.747 | 0.507 | 0.298 | 0.644 | 0.679 |
9 | Mato Grosso do Sul | 0.742 | 0.741 | 0.733 | 0.751 | 0.729 | 0.629 | 0.740 | 0.833 | 0.613 | 0.445 | 0.687 | 0.752 | 0.488 | 0.259 | 0.641 | 0.699 |
10 | Goiás | 0.737 | 0.778 | 0.714 | 0.721 | 0.735 | 0.646 | 0.742 | 0.827 | 0.615 | 0.439 | 0.686 | 0.773 | 0.487 | 0.273 | 0.633 | 0.668 |
11 | Mato Grosso | 0.736 | 0.758 | 0.720 | 0.730 | 0.725 | 0.635 | 0.732 | 0.821 | 0.601 | 0.426 | 0.689 | 0.740 | 0.449 | 0.221 | 0.627 | 0.654 |
12 | Ceará | 0.734 | 0.766 | 0.658 | 0.784 | 0.682 | 0.615 | 0.651 | 0.793 | 0.541 | 0.377 | 0.588 | 0.713 | 0.405 | 0.204 | 0.532 | 0.613 |
13 | Tocantins | 0.731 | 0.732 | 0.684 | 0.779 | 0.699 | 0.624 | 0.690 | 0.793 | 0.525 | 0.348 | 0.605 | 0.688 | 0.369 | 0.155 | 0.549 | 0.589 |
14 | Rio Grande do Norte | 0.728 | 0.680 | 0.692 | 0.819 | 0.684 | 0.597 | 0.678 | 0.792 | 0.552 | 0.396 | 0.608 | 0.700 | 0.428 | 0.242 | 0.547 | 0.591 |
15 | Pernambuco | 0.719 | 0.721 | 0.647 | 0.797 | 0.673 | 0.574 | 0.673 | 0.789 | 0.544 | 0.372 | 0.615 | 0.705 | 0.440 | 0.232 | 0.569 | 0.617 |
16 | Acre | 0.710 | 0.692 | 0.655 | 0.788 | 0.663 | 0.559 | 0.671 | 0.777 | 0.517 | 0.325 | 0.612 | 0.694 | 0.402 | 0.176 | 0.574 | 0.645 |
17 | Sergipe | 0.702 | 0.684 | 0.662 | 0.764 | 0.665 | 0.560 | 0.672 | 0.781 | 0.518 | 0.343 | 0.596 | 0.678 | 0.413 | 0.211 | 0.552 | 0.581 |
18 | Amazonas | 0.700 | 0.720 | 0.641 | 0.744 | 0.674 | 0.561 | 0.677 | 0.805 | 0.515 | 0.324 | 0.608 | 0.692 | 0.430 | 0.204 | 0.605 | 0.645 |
Rondônia | 0.694 | 0.677 | 0.731 | 0.690 | 0.577 | 0.712 | 0.800 | 0.537 | 0.345 | 0.654 | 0.688 | 0.407 | 0.181 | 0.585 | 0.635 | ||
20 | Roraima | 0.699 | 0.673 | 0.680 | 0.745 | 0.707 | 0.628 | 0.695 | 0.809 | 0.598 | 0.457 | 0.652 | 0.717 | 0.459 | 0.240 | 0.643 | 0.628 |
21 | Paraíba | 0.698 | 0.669 | 0.653 | 0.779 | 0.658 | 0.555 | 0.656 | 0.783 | 0.506 | 0.331 | 0.582 | 0.672 | 0.382 | 0.191 | 0.515 | 0.565 |
22 | Bahia | 0.691 | 0.659 | 0.648 | 0.772 | 0.660 | 0.555 | 0.663 | 0.783 | 0.512 | 0.332 | 0.594 | 0.680 | 0.386 | 0.182 | 0.543 | 0.582 |
23 | Piauí | 0.690 | 0.698 | 0.649 | 0.726 | 0.646 | 0.547 | 0.635 | 0.777 | 0.484 | 0.301 | 0.556 | 0.676 | 0.362 | 0.164 | 0.488 | 0.595 |
Pará | 0.686 | 0.645 | 0.744 | 0.646 | 0.528 | 0.646 | 0.789 | 0.518 | 0.319 | 0.601 | 0.725 | 0.413 | 0.194 | 0.567 | 0.640 | ||
25 | Amapá | 0.688 | 0.647 | 0.648 | 0.778 | 0.708 | 0.629 | 0.694 | 0.813 | 0.577 | 0.424 | 0.638 | 0.711 | 0.472 | 0.254 | 0.620 | 0.668 |
26 | Alagoas | 0.684 | 0.679 | 0.630 | 0.748 | 0.631 | 0.520 | 0.641 | 0.755 | 0.471 | 0.282 | 0.574 | 0.647 | 0.370 | 0.174 | 0.527 | 0.552 |
27 | Maranhão | 0.676 | 0.716 | 0.603 | 0.715 | 0.639 | 0.562 | 0.612 | 0.757 | 0.476 | 0.312 | 0.531 | 0.649 | 0.357 | 0.173 | 0.478 | 0.551 |
The Human Development Index (HDI) is a statistical composite index of life expectancy, education, and per capita income indicators, which is used to rank countries into four tiers of human development. A country scores a higher level of HDI when the lifespan is higher, the education level is higher, and the gross national income GNI (PPP) per capita is higher. It was developed by Pakistani economist Mahbub ul-Haq and was further used to measure a country's development by the United Nations Development Programme (UNDP)'s Human Development Report Office.
The Human Poverty Index (HPI) was an indication of the poverty of community in a country, developed by the United Nations to complement the Human Development Index (HDI) and was first reported as part of the Human Development Report in 1997. It is developed by United Nations Development Program which also publishes indexes like HDI It was considered to better reflect the extent of deprivation in deprived countries compared to the HDI. In 2010, it was supplanted by the UN's Multidimensional Poverty Index.
The Human Development Report (HDR) is an annual Human Development Index report published by the Human Development Report Office of the United Nations Development Programme (UNDP).
The Gender Development Index (GDI) is an index designed to measure gender equality.
Pirapetinga is a municipality in the state of Minas Gerais in the Southeast region of Brazil. Its estimated population in 2020 was 10,772 inhabitants (IBGE).
Multidimensional Poverty Indices uses a range of indicators to calculate a summary poverty figure for a given population, in which a larger figure indicates a higher level of poverty. This figure considers both the proportion of the population that is deemed poor and the 'breadth' of poverty experienced by these 'poor' households, following the Alkire & Foster 'counting method'. The method was developed following increased criticism of monetary and consumption-based poverty measures, seeking to capture the deprivations in non-monetary factors that contribute towards well-being. While there is a standard set of indicators, dimensions, cutoffs and thresholds used for a 'Global MPI', the method is flexible and there are many examples of poverty studies that modify it to best suit their environment. The methodology has been mainly, but not exclusively, applied to developing countries.
The Gender Inequality Index (GII) is an index for the measurement of gender disparity that was introduced in the 2010 Human Development Report 20th anniversary edition by the United Nations Development Programme (UNDP). According to the UNDP, this index is a composite measure to quantify the loss of achievement within a country due to gender inequality. It uses three dimensions to measure opportunity cost: reproductive health, empowerment, and labor market participation. The new index was introduced as an experimental measure to remedy the shortcomings of the previous indicators, the Gender Development Index (GDI) and the Gender Empowerment Measure (GEM), both of which were introduced in the 1995 Human Development Report.