In 2024, approximately 11.9 million people lived in São Paulo, making it the largest municipality in Brazil and one of the most populous cities in the world. The homonymous state of São Paulo was also the most populous federal entity in the country. Brazil's cities Brazil is home to two large metropolises: São Paulo with close to 11.9 million inhabitants, and Rio de Janeiro with around 6.7 million inhabitants. It also contains a number of smaller but well-known cities, such as Brasília, Salvador, Belo Horizonte, and many others, which report between 2 and 3 million inhabitants each. As a result, the country's population is primarily urban, with nearly 88 percent of inhabitants living in cities. While smaller than some of the other cities, Brasília was chosen to be the capital because of its relatively central location. The city is also well-known for its modernist architecture and utopian city plan, which is quite controversial - criticized by many and praised by others. Sports venues capitals A number of Brazil’s medium-sized and large cities were chosen as venues for the 2014 World Cup, and the 2015 Summer Olympics also took place in Rio de Janeiro. Both of these events required large sums of money to support infrastructure and enhance mobility within a number of different cities across the country. Billions of dollars were spent on the 2014 World Cup, which went primarily to stadium construction and renovation but also to a number of different mobility projects. Other short-term spending on infrastructure for the World Cup and the Rio Olympic Games was estimated at 50 billion U.S. dollars. While these events have poured a lot of money into urban infrastructure, a number of social and economic problems within the country remain unsolved.

In 2024, Florianópolis was considered the leading smart city in Brazil, having received an index score of ***** points. Vitória ranked second that year, at **** points. Meanwhile, Brazil's most populated city, São Paulo, received an index score of ***** points, following in third place.

This horizontal bar chart displays population (people) by capital city using the aggregation sum in Brazil. The data is filtered where the date is 2021. The data is about countries per year.

Abstract The analysis of the literature review defines the spatial fragmentation based on a patchwork pattern as one of the main features of the Brazilian urban fabric. Considering that the recent housing policy, by providing a significance resources to build houses in “Minha Casa, Minha Vida” Program (PMCMV), impacts substantially the Brazilian cities, by either expanding or consolidating the urban grid, this paper explores the relationship between the national housing policies associated with the PMCMV and the urban configuration. The research focus is morphological, according to the theoretical, methodological and technical approach offered by the Theory of the Social Logic of Space (Space Syntax), considering a comparative and exploratory perspective. The analysis are focused in the developments contracted in the “Fundo de Arrendamento Residencial – FAR” category, in 24 Brazilian capitals, aiming at discussing to what extent these real estate developments caused impact in the urban network, taking into account a relational perspective. The evaluated hypothesis is that the new areas developed by means of the PMCMV follow the same fragmentary tendency identified in the country´s major cities, stressing the socio-spatial segregation. Findings, however, have suggested a more heterogeneous situation, in both negative and positive ways: sometimes the developments help to better connect the urban grid.

This horizontal bar chart displays agricultural land (km²) by capital city using the aggregation sum in Brazil. The data is filtered where the date is 2021. The data is about countries per year.

Context

A large chain store requires making the decision to create new distribution hosts and shut down hosts that do not generate business value. Nothing better than Machine Learning to support this decision making.

Content

This Dataset contains the main cities in Brazil and this network is already in all of its regional capitals (capital = admin).

Abstract According to the Urban Mobility National Policy (UMNP), Brazilian cities with more than 20,000 inhabitants are obligated to elaborate Urban Mobility Plans (UMPs). The literature shows a lack of national research on urban freight planning and a need for better understanding issues on cargo transportation for authorities, especially regarding decision-making on policies and on urban freight transportation planning. City Logistics solutions can be considered on UMPs to reduce the problematic urban freight transport. Therefore, a survey was applied to investigate the resources available within cities to draw UMPs, the solutions for cargo movement in Brazilian cities, and the perceptions of public managers about freight transportation. The results show that “restrictions” are the solutions most adopted by Brazilian authorities, including the representative sample for cities within the São Paulo State with more than 250,000 inhabitants. The conclusions point out that Brazilian cities are not prepared to develop an efficient urban freight plan, as public managers seem to be unconscious about urban logistics demands within their cities or have neglected aspects regarding urban freight within the UMNP.

Abstract The drinking water supply to urban populations suffers losses caused by leaks, theft and unauthorised use. This by-product of urbanisation is disproportionately greater in large cities, suggesting that it derives from complex socio-technical mechanisms, with apparently unpredictable behaviours as populations and social activities increase. With the purpose of verifying this hypothesis and seek for quantitative regularities between city size, the size of the utilities and the amount of losses, we analysed a network of municipalities in southern Brazil from the perspective of the "New Science of Cities”, using simple statistical techniques. We found highly hierarchical distributions, typical of natural complex systems, as well as non-linear scaling regimes between the cities’ population and the selected indicators: exponent <1 for the water distribution system variables (network extension, households connected, and volume produced) and > 1 for the volume of losses. Water losses, consistently presented higher per capita volumes as the population increased, with “increasing returns” comparable to products of social activity such as university degrees or bank deposits. The study presents a complementary approach to the problem, suggesting a certain degree of predictability of the losses at a regional level that can inform policy-making and support better decisions regarding the supply of drinking water in Brazilian cities.

This horizontal bar chart displays military expenditure (% of GDP) by capital city using the aggregation average, weighted by gdp in Brazil. The data is filtered where the date is 2021. The data is about countries per year.

Abstract Ambulatory care sensitive hospitalizations have been used as an indicator of the effectiveness of primary health care. The research involved a descriptive analysis of the evolution of national indicators from 1998 to 2012 and a cross-sectional study of Brazilian municipalities with populations greater than 50,000, by region of the country, for the year 2012, using correlation and linear regression statistical techniques. There was a slight decline in the proportion of ambulatory care sensitive hospitalizations in Brazil. Socioeconomic and demographic factors and physician supply in the healthcare system are associated with the proportion of ambulatory care sensitive hospitalizations, differing by region of the country. Despite advances in the expansion of the Family Health Strategy, some challenges remain, including better distribution of physicians and other health professionals in the country and effective changes in the healthcare model.

Abstract Despite the growing number of research that analyzes the built environment as a support for walking, there are still doubts about the delimitation of the area of influence of this behavior. The use of census tracts is justified by the wide availability of sociodemographic data; however, they have been shown to be fragile for assessing walkability. This article aimed to compare 8 different types of spatial units to verify which ones are better suited to the evaluation of walkability of a Brazilian city, correlating a synthetic walkability index and its component variables with walking frequencies obtained from a recent origin-destination survey. The results showed that the macrozones, the zones of similar sizes (400 m), the grouping by market value, and by topological accessibility showed greater correlations with the levels of walking and that there is a clear dependence of the statistics on the scale of the units and their delimitation, reaffirming the problem of the modifiable areal unit problem (MAUP). The research can contribute to the refinement of spatial methods for walkability assessment, advancing toward a more adequate view of walkability in Brazilian cities.

The Brazilian National Institute of Meteorology (INMET, from the Portuguese "Instituto Nacional de Meteorologia'') is the Brazilian government agency responsible for monitoring, analysing and forecasting weather and climate. It provides meteorological warnings to be used by the local-level municipal authorities.

Data Content

INMET periodically publishes data on its website and provides them via XML RSS Feed. This dataset was collected from the RSS feeds mentioning the Brazilian cities of Belém located in the state of Pará, Belo Horizonte in Minas Gerais state, Porto Alegre in Rio Grande do Sul state, Rio de Janeiro in Rio de Janeiro state and São Paulo in São Paulo state from July/2021 to July/2022.

Data Structure

The description of columns collected from INMET warnings and stored in the warnings file (inmet-meteorological-warnings-1658070001.csv) is presented below. The warnings issued by INMET follow the Common Alerting Protocol (CAP). CAP provides an open, non-proprietary digital message format for all types of alerts and notifications [Standard, OASIS (2010). Common Alerting Protocol Version 1.2. Jul, 1, pp. 1-47. http://docs.oasis-open.org/emergency/cap/v1.2/CAP-v1.2-os.html ].

Columns:

CITY: Name of the city for which the warning was issued.

STATE: The Brazilian acronym for the state in which the city is located, for example, MG for Minas Gerais.

CITYCODE: Unique numeric code for the city for which the warning was issued.

IDENTIFIER: Unique identifier to INMET warning.

RESPONSETYPE: Reaction to the warning.

URGENCY: Urgency for taking action. For example, “Prepare”.

SEVERITY: Severity of the meteorological event. For example, “Future”

CERTAINTY: How likely is the event to happen? For example, “Observed” - Determined to have occurred or to be ongoing; “Likely” - (p > ~50%); “Possible” - Possible but not likely (p <= ~50%).

WARNING: Standardized type of warning. For example, "Aviso de Acumulado de Chuva", "Aviso de Tempestade", "Aviso de Declínio de Temperatura".

TIMESTAMPDATEONSE: Unix timestamp of the minimum time at which the event is expected to start.

TIMESTAMPDATEEXPIRES: Unix timestamp of the maximum at which the event is expected to occur or the warning expires.

COLORRISK: Event colour in hexadecimal following the INMET nomenclature, with yellow meaning potential danger, orange indicating danger, and red indicating great danger.

BASESOURCE: INMET RSS XML file from which the warning was extracted.

The top 100 Airbnb markets in 2025 are: 1. Sao paulo - Lenient regulations, 30,060 listings, 62% occupancy rate, R$235 daily rate. See other 99 places.

Abstract Integrated analysis of urban morphology and functional characteristics allows for a better understanding of the structure and intra-urban dynamics of intermediate cities, indicating a series of elements that demonstrate associations between intra-urban space and the intensity and quality of the relationship of a given centrality with its surroundings. Based on the case study of Montes Claros, Minas Gerais, we present a methodological proposal for evaluating morphological and functional aspects of intermediate cities using information from the Demographic Census and other free geospatial datasets (i.e. digital terrain model and satellite images). We identified the spatial distribution of the types of occupation, such as (a) density of residential type buildings, (b) trade and services and (c) under construction. Furthermore, we quantified and evaluated the characteristics (income and age structure) of the expansion vectors of Montes Claros. In Montes Claros, we identified the formation of less developed intra-urban centralities compared to other development hubs in Minas Gerais (Juiz de Fora, Uberlândia, Pouso Alegre, among others). In the city, the concentration of functions in two centralities (the main center and the most prominent subcenter) increases socio-spatial segregation, given the absence of important centralities close to areas with the greatest peripheral growth between 2000 and 2010.

This project comprise a labelled image dataset developed to provide an object detector for ACRs (accessibility curb ramps) located in sidewalks covering Brazilian Cities (specifically São Paulo State). There are two panorama image datasets included, being one original and one tiled. The second one resulted in the best detections. Also, there are two Yolov4 object detector included, one for each dataset.

ABSTRACT This paper deals with a controversial aspect of the Brazilian public policies: the way urban investment and the provision of urban services are financed. The failure of pat solutions, based on a highly centralized decision-making process of channeling budgetary resources and forced savings to state and local governments, led to a situation in which financial difficulties became one of the main reasons of the deteriorating urban infrastructure and urban services in most of the major Brazilian cities. Against this background the paper argues for a through revision of the way and means of urban development financing, based on recommendations of pooling available resources, implementing professional management and moving toward better intergovernmental coordination of urban policies. Confidence in the newer rules, and in its maintenance over time, is also emphasized as an important requisite for attracting private capital to important areas, such as sanitation, transportation and housing.

Abstract Background Cardiovascular diseases are the leading cause of adult mortality. Geographically remote and low-income Brazilian regions lack specialized consultations. The telemedicine management of this population by cardiologists is not fully known. Objectives To analyze cardiology teleconsultation in the Brazilian region with the highest number of isolated cities. Methods From February 2020 to October 2021, patients from the North Region of Brazil evaluated by local general practitioners were referred for cardiological evaluation by telemedicine. Referral reasons, demographics, clinical history, physical examinations, tests, medications, and prescriptions pre- and post-telemedicine were analyzed (p

{"Abstract In this work a methodology was developed to evaluate the influence of urban context on the usable solar radiation for energy generation through photovoltaic modules on building envelope. The methodology is based on computer simulations using the programs Diva-for-Rhino and EnergyPlus. Two Brazilian cities with different climate were selected for the study: Florianopolis and Fortaleza. Different urban contexts were defined considering buildings with uniform height (Uniform Context) and random height (Random Context). Through the analysis of solar radiation on the building envelope the influence of shading on energy generation for the different office building types was determined. In addition, strategies for PV application on building envelope through the detailed analysis of available solar radiation were developed. The results showed that within an uniform context PV modules are a good option for energy generation. For buildings up to 6 floors enough energy can be generated to achieve an equalized annual energy balance. For this context the area with highest potential for energy generation is the roof. For the random contexts the facades of the high-rise buildings are an interesting option for PV application as well."}

A self-hosted location dataset containing all administrative divisions, cities, and zip codes for Brazil. All geospatial data is updated weekly to maintain the highest data quality, including coverage of complex regions within the country.

Use cases for the Global Zip Code Database (Geospatial data) - Address capture and validation - Map and visualization - Reporting and Business Intelligence (BI) - Master Data Management - Logistics and Supply Chain Management - Sales and Marketing

Data export methodology Our location data packages are offered in variable formats, including .csv. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Product Features - Fully and accurately geocoded - Administrative areas with a level range of 0-4 - Multi-language support including address names in local and foreign languages - Comprehensive city definitions across countries

For additional insights, you can combine the map data with: - UNLOCODE and IATA codes - Time zones and Daylight Saving Times

Why do companies choose our location databases - Enterprise-grade service - Reduce integration time and cost by 30% - Weekly updates for the highest quality

Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

ABSTRACT Background: To improve the comparability of multiple sclerosis (MS) prevalence across Brazilian regions, the Brazilian Committee for Treatment and Research in MS has implemented a standardized approach to assess the prevalence of the disease in five key cities, which were deemed representative of their regions in terms of socio-geographical features and where in-person revision of each case was feasible. Objective: To report the point-prevalence of MS in Passo Fundo, one of the key cities in Southern Brazil. Methods: We sought to identify all MS patients who were living in Passo Fundo on July 1st, 2015. The primary source for case ascertainment was records from the offices of neurologists and neurosurgeons practicing in the city. Multiple secondary sources were used to maximize identification of cases. All patients underwent in-person review of the diagnosis by a panel of neurologists with experience in MS. Results: We identified 52 MS patients living in Passo Fundo on July 1st, 2015. The point-prevalence rate for MS was 26.4/100,000 population (95% confidence interval, 19.7 to 34.6/100,000). Among the MS cases, 42 (80.8%) were female, for a sex ratio of 4.2:1. Forty-six cases (88.5%) were categorized as relapsing-remitting MS, and the remaining 6 cases, as secondary progressive MS (11.5%). Other epidemiological and clinical features were comparable to national and international MS populations. Conclusions: The prevalence of MS in Passo Fundo is one of the highest reported in Brazil so far. Studies in other key Brazilian cities, using the same methodology, are currently being carried out.