Brazil: Human Development Index (0 - 1): The latest value from 2023 is 0.786 points, an increase from 0.76 points in 2022. In comparison, the world average is 0.744 points, based on data from 185 countries. Historically, the average for Brazil from 1980 to 2023 is 0.702 points. The minimum value, 0.545 points, was reached in 1980 while the maximum of 0.786 points was recorded in 2023.

Human development index of Brazil decreased by 0.79% from 0.76 score in 2019 to 0.76 score in 2020. Since the 0.39% rise in 2018, human development index fell by 0.79% in 2020. A composite index measuring average achievement in three basic dimensions of human development—a long and healthy life, knowledge and a decent standard of living. 1=the most developed.

Context

Brazilian summarized census data for each county and the calculated Human Development Index calculated by United Nations Development Programme (PNUD Brasil).

Content

Census data by municipality for the years 1191, 200, adn 2010. PNUD Brasil also calculates the Human Development Index (IDH in Portuguese).

Acknowledgements

Data was cleaned, summarized and published by the United Nations Development Programme

Inspiration

How to improve Brasil?

Abstract Aim: This study aimed to examine the association between physical activity (PA) indicators and TV viewing as a function of the Human Development Index (HDI). Method: This cross-sectional study was based on data from the National School Health Survey, which was composed of 102,072 students (14.28±1.03; 51.3% girls). Total PA, active commuting to school (ACS) and TV viewing were assessed by questionnaires and classified through a gradual scale ranging from “F” (low) to “A+” (high). The correlation between total PA, ACS, TV viewing and HDI was verified by Spearman’s Correlation and presented in rs. Results: HDI was positively associated with total PA [girls: rs = 0.572 (p < 0.001); boys: rs = 0.843 (p < 0.001)] and ACS [girls: rs = 0.433 (p < 0.001); boys: rs = 0.554 (p < 0.001)]; while a negative correlation was found between HDI and TV viewing [girls: rs = -0.330 (p < 0.001); boys: rs = -0.348 (p < 0.001)]. Conclusions: Brazilian adolescents from states with higher HDI were more active and spent more time watching TV than their counterparts from states with lower HDI.

Twin births are an important public health issue due to health complications for both mother and children. While it is known that contemporary factors have drastically changed the epidemiology of twins in certain developed countries, in Brazil, relevant data are still scarce. Thus, we carried out a population-based study of live births in spatial and temporal dimensions using data from Brazil's Live Birth Information System, which covers the entire country. Over 41 million births registered between 2001 and 2014 were classified as singleton, twin or multiple. Twinning rates (TR) averaged 9.41 per 1,000 for the study period and a first-order autoregressive model of time-series analysis revealed a global upward trend over time; however, there were important regional differences. In fact, a Cluster and Outlier Analysis (Anselin Local Moran's I) was performed and identified clusters of high TR in an area stretching from the south of Brazil's Northeast Region to the South Region (Global Moran Index = 0.062, P < 0.001). Spearman's correlation coefficient and a Wilcoxon matched pairs test revealed a positive association between Human Development Index (HDI) and TRs in different scenarios, suggesting that the HDI might be an important indicator of childbearing age and assisted reproduction techniques in Brazil. Furthermore, there was a sharp increase of 26.42% in TR in women aged 45 and over during study period. The upward temporal trend in TRs is in line with recent observations from other countries, while the spatial analysis has revealed two very different realities within the same country. Our approach to TR using HDI as a proxy for underlying socioeconomic changes can be applied to other developing countries with regional inequalities resembling those found in Brazil.

Brazil Insurance Premium: Automotive: by Company: Hdi Seguros S.A. data was reported at 327,317,100.000 BRL in Feb 2025. This records a decrease from the previous number of 343,574,330.000 BRL for Jan 2025. Brazil Insurance Premium: Automotive: by Company: Hdi Seguros S.A. data is updated monthly, averaging 151,731,114.500 BRL from Sep 2000 (Median) to Feb 2025, with 294 observations. The data reached an all-time high of 427,527,407.000 BRL in Jul 2024 and a record low of 7,407,002.000 BRL in Sep 2000. Brazil Insurance Premium: Automotive: by Company: Hdi Seguros S.A. data remains active status in CEIC and is reported by Superintendence of Private Insurance. The data is categorized under Brazil Premium Database’s Insurance Sector – Table BR.RGB004: Insurance Premium: Automotive: by Company.

Introduction

This dataset contains information related to Brazilian states, like names, abbreviations, population size, latitude, longitude, capitals, area, GDP, HDI and much more. This data was compiled extracting several datasets from IBGE.

CKDMR according to age groups and years for Brazil and its region time trend regression model for HDI.

Abstract: This study has as objective to verify the convergence betwixt Infant Mortality Rate decreasement and Human Development Index Municipal increasement in Big Regions and Federation Units in Brazil between 2000 to 2010. The type of study adopted is ecological. It is drawn to a conclusion that the Infant Mortality Rate's reduction and the Human Development Index Municipal's increase, happened in a non-homogeneous form in the areas of study.

Suicide, Human Development Index (IDHM), and Discouragement Datasets and Analysis from Southern Brazil

In addition to the individual values for 2001 and 2014, the average value, percentage variation, standard deviation and the parameters estimated in the autoregressive (AR) models are also shown.

Insurance Premium: Automotive: by Company: Hdi Seguros de Automóveis e Bens S.A. data was reported at 7,946,167.000 BRL in Mar 2006. This records a decrease from the previous number of 13,080,131.000 BRL for Feb 2006. Insurance Premium: Automotive: by Company: Hdi Seguros de Automóveis e Bens S.A. data is updated monthly, averaging 24,663,107.000 BRL from Oct 2005 (Median) to Mar 2006, with 6 observations. The data reached an all-time high of 160,723,256.000 BRL in Oct 2005 and a record low of 7,946,167.000 BRL in Mar 2006. Insurance Premium: Automotive: by Company: Hdi Seguros de Automóveis e Bens S.A. data remains active status in CEIC and is reported by Superintendence of Private Insurance. The data is categorized under Brazil Premium Database’s Insurance Sector – Table BR.RGB004: Insurance Premium: Automotive: by Company.

Brazil Insurance Premium: Automotive: by Company: Hdi Global Seguros S.A. data was reported at -746.000 BRL in Nov 2024. This records a decrease from the previous number of -186.000 BRL for Oct 2024. Brazil Insurance Premium: Automotive: by Company: Hdi Global Seguros S.A. data is updated monthly, averaging 1,446.000 BRL from Nov 2019 (Median) to Nov 2024, with 61 observations. The data reached an all-time high of 174,295.000 BRL in Sep 2022 and a record low of -20,135.000 BRL in Oct 2022. Brazil Insurance Premium: Automotive: by Company: Hdi Global Seguros S.A. data remains active status in CEIC and is reported by Superintendence of Private Insurance. The data is categorized under Brazil Premium Database’s Insurance Sector – Table BR.RGB004: Insurance Premium: Automotive: by Company.

The present study assessed the identification of animal and object hoarding disorder cases by contact and mapping and the presence of animal protection programs in association with seven social–economic indicators of the metropolitan area of the ninth-biggest metropolitan area of Brazil. City Secretaries of Health and Environment provided demographic information and responded to a questionnaire. Overall, a very high level of hoarding case identification per municipality was associated with a higher Human Development Index, population, density, and income and related to distance from Curitiba, the capital of Parana State. Low and very low levels of hoarding case identification were related to greater area, higher Social Vulnerability Index (SVI), inequality, illiteracy, and rural areas. Very high identification level of animal protection programs was also associated with higher HDI, density and population, urban area, and high income, and geographical area. Similarly, low and very low levels of animal protection programs identification were major explained by low income, illiteracy, and distance related to higher population, urbanization, and higher HDI. In summary, better identification of hoarding cases and animal protection programs have shown an association with better socioeconomic indicators and higher population, density, and urban area. Whether municipalities with better human socioeconomic indicators may stimulate society's demands for identification of cases of individuals with hoarding disorder and animal programs should be further established. Regardless, animal health and welfare have been associated with improving human quality of life in a major Brazilian metropolitan area.

In Brazil, each region has its own cultural identity regarding accent, gastronomy, traditions, all of which may reflect its literature. Specially, we believe that country's background and contextual features are directly related to what people read. Hence, we present an enhanced dataset that comprises cultural, geographic, and socioeconomic information to explore Brazilian cultural identity through reading preference.

As our main data source, we chose the Goodreads website due to the sheer volume of data available and its organized and easily accessible API. We collect data from Brazilian readers through the goodreads library, which provides a Python interface to the Goodreads API. Specifically, we collect members of two of the largest Brazilian reading groups: the "Clube de Leitores em Português" (4,229 members) and the "Goodreads Brasil" (3,222 members). For all members of both groups, we also collect data from their friends. Then, we filter only those containing Brazil as location information from the final users' set. Finally, with the same library, we gather users' bookshelves to assess their reading preferences.

To investigate the Brazilian reading identity, we consider a medley of demographic and socioeconomic data from the Brazilian Institute of Geography and Statistics (IBGE): including territorial area, population estimate, demographic density, Human Development Index (HDI), Gross Domestic Product (GDP), and monthly household income per capita. All indicators refer to the year 2020, except the HDI that refers to the year 2017. The data collection was carried out from February 23 to March 04, 2021.

Our final dataset, named as BraCID, comprises:

• 38,231 Brazilian Goodreads users
• 75,093 Distinct books
• 80 Literary genres
• 6 IBGE indicators regarding the 27 federative units of Brazil

Brasil: Índice de Desenvolvimento Humano (0 - 1): Para este indicador, fornecemos dados para Brasil de 1980 a 2023. O valor médio por Brasil durante este período foi 0.702 points com o mínimo de 0.545 points em 1980 e o máximo de 0.786 points em 2023. Os dados mais recentes de 2023 são 0.786 points. Para efeito de comparação, a média mundial em 2023 com base em 185 países é 0.744 points.

Insurance: Current Risk not Issued: Automotive: by Company: Hdi Seguros S.A. data was reported at -152,768.920 BRL in Feb 2025. This records a decrease from the previous number of 25,574.390 BRL for Jan 2025. Insurance: Current Risk not Issued: Automotive: by Company: Hdi Seguros S.A. data is updated monthly, averaging -88,392.820 BRL from Dec 2013 (Median) to Feb 2025, with 135 observations. The data reached an all-time high of 18,177,151.030 BRL in Sep 2015 and a record low of -15,716,862.170 BRL in Jan 2018. Insurance: Current Risk not Issued: Automotive: by Company: Hdi Seguros S.A. data remains active status in CEIC and is reported by Superintendence of Private Insurance. The data is categorized under Brazil Premium Database’s Insurance Sector – Table BR.RGB012: Premium: Current Risk not Issued: Automotive: by Company.

Association between participation frequency in physical education classes and indicators of physical activity and sitting time according to sex and income level of the Brazilian regions (n = 12,220).

Brazil Insurance: Direct Premium: Automotive: by Company: Hdi Global Seguros S.A. data was reported at 2,641.000 BRL in Jun 2023. This records an increase from the previous number of 381.000 BRL for Dec 2022. Brazil Insurance: Direct Premium: Automotive: by Company: Hdi Global Seguros S.A. data is updated monthly, averaging 13,411.000 BRL from Nov 2019 (Median) to Jun 2023, with 37 observations. The data reached an all-time high of 170,031.000 BRL in Nov 2019 and a record low of -11,973.000 BRL in Aug 2020. Brazil Insurance: Direct Premium: Automotive: by Company: Hdi Global Seguros S.A. data remains active status in CEIC and is reported by Superintendence of Private Insurance. The data is categorized under Brazil Premium Database’s Insurance Sector – Table BR.RGB002: Direct Premium: Automotive: by Company.