The total population in Brazil was estimated at 212.6 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Brazil Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

About this dataset

Context

The dataset tabulates the population of Brazil by race. It includes the population of Brazil across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Brazil across relevant racial categories.

Key observations

The percent distribution of Brazil population by race (across all racial categories recognized by the U.S. Census Bureau): 93.58% are white, 0.21% are Black or African American, 0.30% are Asian, 1.64% are some other race and 4.28% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Brazil
• Population: The population of the racial category (excluding ethnicity) in the Brazil is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Brazil total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Brazil Population by Race & Ethnicity. You can refer the same here

Brazil BR: Population Living in Slums: % of Urban Population data was reported at 14.897 % in 2016. This stayed constant from the previous number of 14.897 % for 2014. Brazil BR: Population Living in Slums: % of Urban Population data is updated yearly, averaging 21.511 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 34.740 % in 2000 and a record low of 14.897 % in 2016. Brazil BR: Population Living in Slums: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Population and Urbanization Statistics. Population living in slums is the proportion of the urban population living in slum households. A slum household is defined as a group of individuals living under the same roof lacking one or more of the following conditions: access to improved water, access to improved sanitation, sufficient living area, housing durability, and security of tenure, as adopted in the Millennium Development Goal Target 7.D. The successor, the Sustainable Development Goal 11.1.1, considers inadequate housing (housing affordability) to complement the above definition of slums/informal settlements.;United Nations Human Settlements Programme (UN-HABITAT);Weighted average;

Abstract Objective: to assess the prevalence of elderly persons living alone in Brazil, based on covariates of health status, behavior and socio-demographic characteristics. Method: data from 11,967 individuals (aged 60 or over) were obtained from the National Health Survey (Brazil, 2013). Living alone was defined as residing in a one-person household. The prevalence of individuals living alone was stratified by socio-demographic conditions and geographic region. Living alone was also assessed as a factor for outcomes of physical functioning, behavior and health conditions. Poisson regression models were used to evaluate the prevalence ratios and a 95% confidence interval was applied. Results: in Brazil, 15.3% of people aged 60 years and over live alone. This condition is more prevalent in higher income regions; however, more lower-income individuals were affected. Prevalence was higher among women and individuals aged 75 years or more. Living alone was associated with difficulties in instrumental activities of daily living (prevalence ratio 1.15; 95% confidence interval 1.04-1.28); the reporting of an illness in the two prior to the study (PR=1.35; 95%CI=1.16-1.57); watching television (five or more hours daily) (PR=1.40; 95%CI=1.26-1.56) and falls in the previous year (PR=1.35; 95%CI=1.10-1.66). Elderly persons living alone also had worse eating habits, with a less frequent intake of meat, beans and salads than their counterparts who lived with others. Conclusion: elderly persons living alone in Brazil have a worse health status and health-related habits. These findings represent a challenge and should motivate social and health policies aimed at fulfilling the greater needs of adults who grow old alone.

Local ecological evidence is key to informing conservation. However, many global biodiversity indicators often neglect local ecological evidence published in languages other than English, potentially biassing our understanding of biodiversity trends in areas where English is not the dominant language. Brazil is a megadiverse country with a thriving national scientific publishing landscape. Here, using Brazil and a species abundance indicator as examples, we assess how well bilingual literature searches can both improve data coverage for a country where English is not the primary language and help tackle biases in biodiversity datasets. We conducted a comprehensive screening of articles containing abundance data for vertebrates published in 59 Brazilian journals (articles in Portuguese or English) and 79 international English-only journals. These were grouped into three datasets according to journal origin and article language (Brazilian-Portuguese, Brazilian-English and International). ..., Data collection We collected time-series of vertebrate population abundance suitable for entry into the LPD (livingplanetindex.org), which provides the repository for one of the indicators in the GBF, the Living Planet Index (LPI, Ledger et al., 2023). Despite the continuous addition of new data, LPI coverage remains incomplete for some regions (Living Planet Report 2024 – A System in Peril, 2024). We collected data from three sets of sources: a) Portuguese-language articles from Brazilian journals (hereafter “Brazilian-Portuguese†dataset), b) English-language articles from Brazilian journals (“Brazilian-English†dataset) and c) English-language articles from non-Brazilian journals (“International†dataset). For a) and b), we first compiled a list of Brazilian biodiversity-related journals using the list of non-English-language journals in ecology and conservation published by the translatE project (www.translatesciences.com) as a starting point. The International dataset was obtained ..., # Knowledge from non-English-language studies broadens contributions to conservation policy and helps to tackle bias in biodiversity data

Dataset DOI: 10.5061/dryad.ngf1vhj68

Description of the data and file structure

We collected time-series of vertebrate population abundance suitable for entry into the LPD (livingplanetindex.org), which provides the repository for one of the indicators in the GBF, the Living Planet Index (LPI, Ledger et al., 2023).

We collected data from three sets of sources: a) Portuguese-language articles from Brazilian journals (hereafter “Brazilian-Portuguese†dataset), b) English-language articles from Brazilian journals (“Brazilian-English†dataset) and c) English-language articles from non-Brazilian journals (“International†dataset). For a) and b), we first compiled a list of Brazilian biodiversity-related journals using the list of non-English-language journals in ecology and conservat...,

Brazil's main stock market index, the IBOVESPA, rose to 145378 points on September 26, 2025, gaining 0.05% from the previous session. Over the past month, the index has climbed 4.43% and is up 9.53% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Brazil. Brazil Stock Market (BOVESPA) - values, historical data, forecasts and news - updated on September of 2025.

All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Brazil. Power Plant emissions from all power plants in Brazil were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Cities can be tremendously efficient. It is easier to provide water and sanitation to people living closer together, while access to health, education, and other social and cultural services is also much more readily available. However, as cities grow, the cost of meeting basic needs increases, as does the strain on the environment and natural resources. Data on urbanization, traffic and congestion, and air pollution are from the United Nations Population Division, World Health Organization, International Road Federation, World Resources Institute, and other sources.

The Santos Enslaved and Enslaver Dataset (SEED), created between 2003 and 2006, offers an innovative micro-historical method so users can better understand the diverse lived experiences and oppression of enslaved people. The dataset is one of the most detailed for any city or county of a slave society. It cross-references the identities of thousands of enslaved individuals and enslavers in documents from 13 Brazilian archives and 43 primary source types. It contains more than 42,806 entries drawing from information in medical, church, government, and judicial records of the nineteenth century. More than 1,960 individuals were identified and cross-referenced through multiple historical sources, allowing for a wide range of narratives to emerge from the data.

Time series data for the statistic Population_Exposed_To_Polluted_Air_In_Percent and country Brazil. Indicator Definition:Percent of population exposed to ambient concentrations of PM2.5 that exceed the WHO guideline value is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 10 micrograms per cubic meter, the guideline value recommended by the World Health Organization as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed.The statistic "Population Exposed To Polluted Air In Percent" stands at 68.14 percent as of 12/31/2017. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.1825 percentage points compared to the value the year prior.The 1 year change in percentage points is 0.1825.The 3 year change in percentage points is -8.98.The 5 year change in percentage points is -18.69.The Serie's long term average value is 83.52 percent. It's latest available value, on 12/31/2017, is 15.38 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2016, to it's latest available value, on 12/31/2017, is +0.182.The Serie's change in percentage points from it's maximum value, on 12/31/2011, to it's latest available value, on 12/31/2017, is -23.79.

The USD/BRL exchange rate fell to 5.3501 on September 26, 2025, down 0.26% from the previous session. Over the past month, the Brazilian Real has strengthened 1.25%, and is up by 1.54% over the last 12 months. Brazilian Real - values, historical data, forecasts and news - updated on September of 2025.

Introduction

Welcome to the Brazilian Portuguese General Conversation Speech Dataset — a rich, linguistically diverse corpus purpose-built to accelerate the development of Portuguese speech technologies. This dataset is designed to train and fine-tune ASR systems, spoken language understanding models, and generative voice AI tailored to real-world Brazilian Portuguese communication.

Curated by FutureBeeAI, this 30 hours dataset offers unscripted, spontaneous two-speaker conversations across a wide array of real-life topics. It enables researchers, AI developers, and voice-first product teams to build robust, production-grade Portuguese speech models that understand and respond to authentic Brazilian accents and dialects.

Speech Data

The dataset comprises 30 hours of high-quality audio, featuring natural, free-flowing dialogue between native speakers of Brazilian Portuguese. These sessions range from informal daily talks to deeper, topic-specific discussions, ensuring variability and context richness for diverse use cases.

Topic Diversity

The dataset spans a wide variety of everyday and domain-relevant themes. This topic diversity ensures the resulting models are adaptable to broad speech contexts.

Transcription

Each audio file is paired with a human-verified, verbatim transcription available in JSON format.

These transcriptions are production-ready, enabling seamless integration into ASR model pipelines or conversational AI workflows.

Metadata

The dataset comes with granular metadata for both speakers and recordings:

Such metadata helps developers fine-tune model training and supports use-case-specific filtering or demographic analysis.

Usage and Applications

This dataset is a versatile resource for multiple Portuguese speech and language AI applications:

Guanabara Bay (GB) is the second largest bay in the coast of Brazil (384 km2) (22o41 to 22o56 S ; 43o02 to 43o18 W). In its surroundings live 16 million inhabitants (6 million in Rio de Janeiro city). This system experiences steep spatial gradient from the entrance to inner bay. GB receives high load of nutrients and organic material from riverine sources and from domestic and industrial sewage inputs. As a consequence, this system is characterized as a high eutrophicate and polluted one. In spite of its poor environmental status, GB still presents many living resources who use the bay as a refuge, feeding and nursery grounds, with some of those species having commercial interest. An important characteristic of GB is the influence of South Atlantic Central Water, a deep, cold and rich nutrient water, that enters the bay during the Cabo Frio upwelling period. This phenomenon permits to maintain the bay at a relative good health level in its central part, in contrast with the marginal areas highly polluted. Although encroached on by urban expansion, the inner east margins of Guanabara Bay is still bordered by a 90 km2 fringing mangrove system, of which 43 km2 is an environmental protection area, Guapimirim.

Abstract Aims: 1) to identify the prevalence of active commuting to school (ACS) among Brazilian regions; and 2) to determine associated factors related to ACS in this population. Methods: Cross-sectional study comprising 16,493 adolescents (mean age 14.09±2.12 years). The data comes from the National School Health Survey (2015), and the information was collected by a self-reported questionnaire. Logistic regression models were performed to identify correlates of ACS. Results: Adolescents who live in the Southeast are more prone to have ACS compared to those who live in other regions. Do not have motor vehicles been positively associated with ACS [girls: 2.04 (1.72;2.42); boys 1.85(1.63;2.10)]. Those whom self-reported white was less prone to have ACS compared to their peers from other ethnicities. Those enrolled in private schools [girls: 0.43(0.34;0.54); boys (0.45(0.39;0.53)] and schools setting in rural area [girls: 0.38(0.25;0.57); boys: 0.51(0.37;71)] are less prone to show ACS. In addition, adolescents who accumulated less active time during physical education classes [girls: 0.80(0.66;0.97)] and extracurricular shifts [boys: 0.69(0.60;0.80)] were less prone to have an ACS, compared to their most active peers. Lastly, girls who spent ≤ 2 hours presented fewer odds to have an ACS [0.75(0.63;0.90)]. Conclusions: ACS was most prevalent among those who live in the Southeast region and seems to be negativity associated with the socioeconomic level. Moreover, less active adolescents during both school and leisure time may be more prone to have passive travel go/from school.

Wages in Brazil decreased to 3484 BRL/Month in July from 3486 BRL/Month in June of 2025. This dataset provides - Brazil Average Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

ABSTRACT The development of our society has been based on the use of biodiversity, especially for medicines and nutrition. Brazil is the nation with the largest biodiversity in the world accounting for more than 15% of all living species. The devastation of biodiversity in Brazil is critical and may not only cause the loss of species and genes that encode enzymes involved in the complex metabolism of organisms, but also the loss of a rich chemical diversity, which is a potential source for bioeconomy based on natural products and new synthetic derivatives. Bioeconomy focus on the use of bio-based products, instead of fossil-based ones and could address some of the important challenges faced by society. Considering the chemical and biological diversity of Brazil, this review highlights the Brazilian natural products that were successfully used to develop new products and the value of secondary metabolites from Brazilian biodiversity with potential application for new products and technologies. Additionally, we would like to address the importance of new technologies and scientific programs to support preservation policies, bioeconomy and strategies for the sustainable use of biodiversity.

Gambling Data Brazil gives you access to valuable contacts across the gambling industry. In addition, this dataset retains player demographics, betting trends, revenue figures, and competitive landscape. Most importantly, we collect these contacts from a dependable and faithful source through verification. Our data about the characteristics of gamblers, includes age, gender, income level, and geographic location. In fact, you can get this contacts list in an Excel and CSV file from our website. Further, Gambling Data Brazil will give you quick responses from clients and you can increase your business. In Brazil, various types of gambling are popular with diverse interests. Betting and lotteries are widely popular for their accessibility and potential for large winnings. Above all, we will give you an up-to-date contact list at a more affordable cost than others. So, if you want to succeed in this field, you should count our Gambling Data Brazil. Brazil gambling data enables targeted marketing efforts, that ensure ads reach the right audience. This contact tool is a great way for online marketing campaigns. Even, anybody can promote your products or services very easily through this. Our service ensures delivery within some time, so people stay connected. You can gain many special offers from our Brazil gambling data. Likewise, by using this gambling data you can grow a dynamic industry that brings higher ROI. Our Brazil gambling database offers various advantages for the gambling business. However, this provides insights into customer preferences behavior, and needs. Further, understanding popular games and betting platforms allows businesses to match clients’ interests. As such, that boosts attention and loyalty and creates an opportunity to win more. Analyzing trends in gambling behavior helps inform strategic decisions. Also, introducing new games to stay ahead of competitors. Overall, trust us and buy it now without any time wasted.

Time series data for the statistic Literacy_Rate_Adult_Total and country Brazil. Indicator Definition:Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.The Serie's long term average value is 90.04 percent. It's latest available value, on 12/31/2022, is 4.65 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/1980, to it's latest available value, on 12/31/2022, is +19.69.The Serie's change in percentage points from it's maximum value, on 12/31/2022, to it's latest available value, on 12/31/2022, is 0.0.

Abstract

The Census of Agriculture investigates information on agricultural establishments and agricultural activities developed inside them, including characteristics of the producers and establishments, economy and employment in the rural area, livestock, cropping and agribusiness. Its data collection unit is every production unit dedicated, either entirely or partially, to agricultural, forest or aquaculture activities, subordinated to a single administration – producer or administrator –, regardless of its size, legal nature or location, aiming at producing either for living or sales.

The first Census of Agriculture dates back to 1920, and it was conducted as part of the General Census. It did not take place in the 1930s due to reasons of political and institutional nature. From 1940 onward, the survey was decennial up to 1970 and quinquennial later on, taking place in the beginning of the years ending in 1 and 6 and relating to the years ending in 0 and 5. In the 1995-1996 Census of Agriculture, the information was related to the crop year (August 1995 to July 1996). In the 2006 Census of Agriculture, the reference for the data returned to be the calendar year. The 2006 edition was characterized both by the technological innovation introduced in the field operation, in which the paper questionnaire was replaced by the electronic questionnaire developed in Personal Digital Assistants - PDAs and by the methodological refinement, particularly concerning the redesign of its contents and incorporation of new concepts. That edition also implemented the National Address List for Statistical Purposes - Cnefe, which gathers the detailed description of the addresses of housing units and agricultural establishments, geographic coordinates of every housing unit and establishment (agricultural, religious, education, health and other) in the rural area, bringing subsidies for the planning of future IBGE surveys. The 2017 Census of Agriculture returned to reference the crop year – October 2016 to September 2017 –, though in a different period than that adopted in the 1995-1996 Census of Agriculture. New technologies were introduced in the 2017 survey to control the data collection, like: previous address list, use of satellite images in the PDAs to better locate the enumerator in relation to the terrain, and use of coordinates of the address and location where the questionnaire is open, which allowed a better coverage and assessment of the work.

The survey provides information on the total agricultural establishments; total area of those establishments; characteristics of the producers; characteristics of the establishments (use of electricity, agricultural practices, use of fertilization, use of agrotoxins, use of organic farming, land use, existence of water resources, existence of warehouses and silos, existence of tractors, machinery and agricultural implements, and vehicles, among other aspects); employed personnel; financial transactions; livestock (inventories and animal production); aquaculture and forestry (silviculture, forestry, floriculture, horticulture, permanent crops, temporary crops and rural agribusiness).

The periodicity of the survey is quinquennial, though the surveys in 1990, 1995, 2000 and 2005, 2010 and 2015 were not carried out due to budget restrictions from the government; the 1990 Census of Agriculture did not take place; the 1995 survey was carried out in 1996 together with the Population Counting; the 2000 survey did not take place; that of 2005 was carried out in 2007, together with the Population Counting once again; that of 2010 did not take place and that of 2015 was carried out in 2017. Its geographic coverage is national, with results disclosed for Brazil, Major Regions, Federation Units, Mesoregions, Microregions and Municipalities. The results of the 2006 Census of Agriculture, which has the calendar year as the reference period, are not strictly comparable with those from the 1995-1996 Census of Agriculture and 2017 Census of Agriculture, whose reference period is the crop year in both cases.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit was the agricultural holding, defined as any production unit dedicated wholly or partially to agricultural, forestry and aquaculture activities, subject to a single management, with the objective of producing for sale or subsistence, regardless of size, legal form (own, partnership, lease, etc.) or location (rural or urban). The agricultural holdings were classified according to the legal status of the producer as: individual holder, condominium, consortium or partnership; cooperative; incorporated or limited liability company; public utility institutions (church, NGO, hospital), or government.

Kind of data

Census/enumeration data [cen]

Sampling procedure

(a) Frame The 2000 Population and Housing Census and the cartographic documentation constituted the source of the AC 2006 frame. No list frames were available in digital media with georeferenced addresses of the holdings. Census coverage was ensured on the basis of the canvassing of the EAs by enumerators.

(b) Complete and/or sample enumeration methods The AC 2006 was a complete enumeration operation of all agricultural holdings in the country.

Mode of data collection

Face-to-face [f2f]

Research instrument

An electronic questionnaire was used for data collection on:

Total agricultural establishments Total area of agricultural establishments Total area of crops Area of pastures Area of woodlands Total tractors Implements Machinery and vehicles Characteristics of the establishment and of the producer Total staff employed Total cattle, buffallo, goats, Sheep, pigs, poultry (chickens, fowls, chickens and chicks) Other birds (ducks, geese, teals, turkeys, quails, ostriches, partridges, pheasants and others) Plant production

The AC 2006 covered all 16 items recommended by FAO under the WCA 2010.

Cleaning operations

(a) DATA PROCESSING AND ARCHIVING The entire data collection and supervision software was developed in house by IBGE, using the Visual Studio platform in the Microsoft Operations Manager 2005 environment and Microsoft SQL Server 2000, with the assistance of Microsoft Brazil consulting. In addition, the GEOPAD application was installed to view, navigate and view maps and use GPS guidance. Updated versions of the software were installed automatically as soon as census enumerators connected the PDAs to the central server to transmit the data collected. Once internally validated by the device, the data were immediately transmitted to the database at the IBGE state unit. The previous AC (1996) served as the basis for defining the parameter values for the electronic editing process.

(b) CENSUS DATA QUALITY Automatic validation was incorporated into PDAs. Previously programmed skip patterns and real-time edits, performed during enumeration, ensured faster and more reliable interviews. In addition, the Bluetooth® technology incorporated into the PDAs allowed for direct data transmission to IBGE's central mainframe by each of enumerators on a weekly basis.

Data appraisal

The preliminary census results were published in 2007. The final results were released in 2009 through a printed volume and CD-ROMs. The census results were disseminated at the national and subnational scope (country, state and municipality) and are available online at IBGE's website.

No ano de 2010, o Brasil conseguiu cumprir a Meta 1 estabelecida pela Estratégia Global para a Conservação de Plantas (GSPC-CDB), no âmbito da Convenção da Diversidade Biológica com a publicação do Catálogo de Plantas e Fungos do Brasil (veja acima em “Publicações/Referências”) e com o lançamento da primeira versão online da Lista de Espécies da Flora do Brasil. O projeto “Lista do Brasil”, como ficou popularmente conhecido, foi encerrado em novembro de 2015, com a publicação de cinco artigos e suas respectivas bases de dados (veja acima em “Acesso aos Dados” e “Publicações/Referências”). No início de 2016 foi lançado o projeto Flora do Brasil 2020, com o objetivo de cumprir a Meta 1 estabelecida pela GSPC-CDB para 2020, com a divulgação de descrições morfológicas, chaves de identificação e ilustrações para todas as espécies de plantas, algas e fungos conhecidos para o país. Ao final de 2020 foram disponibilizadas de forma ampla e irrestrita monografias para todas as famílias de Briófitas, de Samambaias e Licófitas e de Gimnospermas nativas do Brasil, bem como as monografias para 90% das famílias de Angiospermas. Os resultados alcançados foram fruto do trabalho colaborativo de mais de 900 taxonomistas, brasileiros e estrangeiros, em uma plataforma online para a inclusão de dados dos seus grupos de especialidade. Além da elaboração das monografias, esses pesquisadores também são responsáveis pela inclusão de informações sobre nomenclatura (nomes aceitos vs. sinônimos) e distribuição geográfica (abrangência no Brasil, endemismo e Domínios Fitogeográficos), além de incluírem dados valiosos sobre formas de vida, substrato e tipos de vegetação para as espécies trabalhadas. É importante ressaltar que imagens em alta resolução de exsicatas, bem como imagens das espécies na natureza e ilustrações científicas também são associadas às espécies para auxiliarem no seu reconhecimento. Contudo, as monografias concluídas para Algas e Fungos não conseguiram abranger a real diversidade destes grupos no Brasil e isso foi um estímulo para o início desta nova fase do projeto, agora denominado Flora e Funga do Brasil. Esta mudança visa buscar uma terminologia biológica mais inclusiva para o Reino Fungi e um maior engajamento da comunidade micológica e liquenológica, tanto para a melhoria da lista de espécies ocorrentes no País, quanto para a elaboração de monografias.

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In 2010, Brazil met Target 1 established by the Global Strategy for Plant Conservation (GSPC-CDB), within the scope of the Convention on Biological Diversity, with the publication of the “Catálogo de Plantas e Fungos do Brasil” (see above “Publications/References”) and with the release of the first online version of the “Lista de Espécies da Flora do Brasil”. The “Lista do Brasil” project, as it became popularly known, ended in November 2015, with the publication of five articles and their respective databases (see above in “Access to Data” and “Publications/References”). In early 2016, the “Flora do Brasil 2020” project was launched, aiming to fulfill Target 1 established by the GSPC-CDB for 2020, with morphological descriptions, identification keys and illustrations for all species of plants, algae and fungi known to the country. By the end of 2020, monographs for all families of Bryophytes, Ferns and Lycophytes and Gymnosperms native to Brazil were made available in a broad and unrestricted way, as well as monographs for 90% of Angiosperm families. The results achieved were consequence of the collaborative work of more than 900 taxonomists, Brazilians and foreigners, in an online platform for the inclusion of data from the taxonomic groups of their specialty. In addition to preparing the monographs, these researchers were also responsible for including information on nomenclature (accepted names vs. synonyms) and geographic distribution (by states in Brazil, endemism and Phytogeographic Domains), in addition to including valuable data on life forms, substrate and vegetation types for the species worked. It is important to note that high resolution images of exsiccates, as well as images of species in nature and scientific illustrations are also associated with taxa to aid in their recognition. However, the monographs completed for Algae and for Fungi were not able to cover the real diversity of these groups in Brazil and this was a stimulus for the beginning of this new phase of the project, now called Flora e Funga do Brasil. This change aims to seek a more inclusive biological terminology for the Fungi Kingdom and a greater engagement of the mycological and lichenological community, both for the improvement of the list of species occurring in the country, and for the elaboration of monographs.