Brazil IBGE Projection: Population: Residents: Female: Age 30 to 34 Years data was reported at 6,600,995.000 Person in 2060. This records a decrease from the previous number of 6,668,550.000 Person for 2059. Brazil IBGE Projection: Population: Residents: Female: Age 30 to 34 Years data is updated yearly, averaging 7,692,298.000 Person from Jun 2010 (Median) to 2060, with 51 observations. The data reached an all-time high of 8,761,261.000 Person in 2017 and a record low of 6,600,995.000 Person in 2060. Brazil IBGE Projection: Population: Residents: Female: Age 30 to 34 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAB044: Population: Projection: by Region and Age: Female (Discontinued).

Analysis unit

Persons, households, and dwellings

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: no - Households: Structurally independent living quarters, consisting of one or more rooms with a private entrance. - Group quarters: Group living together under relations of administrative subordination.

Universe

All people in dwellings in the country (Territorio Nacional). All residents of private (permanent and improvised) and collective dwellings were enumerated on the reference date. Also included: people who were absent (for reasons of vacation, education, work, or hospital stays, for less than 12 months) from their dwelling. Embassies, consulates and Brazilian representatives out of the country are considered National Territory; however, they are not included in the Census (the majority of Brazilian functionaries do not live on the grounds of diplomatic missions). Indigenous persons.

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: Instituto Brasileiro de Geografia e Estatística

SAMPLE SIZE (person records): 20274412.

SAMPLE DESIGN: Long form sample. Systematic sample selected with the same probability inside each census tract. A sample was taken of individual dwellings and of families or individuals in "grupos conviventes" inside collective dwellings with the same sample fraction for that tract in the municipality (for instance, in large municipalities, 1 in 10 dwellings or, within collective dwellings, 1 in 10 families, or 1 in 10 individuals of "grupos conviventes"). There were two distinct sample fractions: a 10% sample in municipalities with an estimated population of greater than 15,000 inhabitants and a 20% sample of the remaining municipalities. Indigenous persons.

Mode of data collection

Face-to-face [f2f]

Research instrument

Long and short enumeration forms. The short form contains general information about the characteristics of the dwelling and each of persons in the dwelling. The long form contains general and more specific information about the characteristics of the dwelling, families, and each of the people in the dwellings. The long form was applied to a 10% sample of the population in municipalities with estimated populations greater than 15,000 and 20% in the remaining municipalities (Silva e Bianchini 1990).

Brazil IBGE Projection: Population: Residents: Male: Age 65 to 69 Years data was reported at 6,767,303.000 Person in 2060. This records an increase from the previous number of 6,757,874.000 Person for 2059. Brazil IBGE Projection: Population: Residents: Male: Age 65 to 69 Years data is updated yearly, averaging 5,036,045.000 Person from Jun 2010 (Median) to 2060, with 51 observations. The data reached an all-time high of 6,827,971.000 Person in 2054 and a record low of 2,253,998.000 Person in 2010. Brazil IBGE Projection: Population: Residents: Male: Age 65 to 69 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAB043: Population: Projection: by Region and Age: Male (Discontinued).

Abstract

Objectives: To provide a broad set of information about health characteristics of population necessary for the formulation, monitoring and evaluation of policies related to health sector.

Reference Period: Month

Periodicity of Data Collection: Every 5 years

Geographic coverage

Whole country

Analysis unit

Individuals

Universe

Population groups: Persons who are members of households

Total population covered: It is a sample survey covering 80,000 households throughout Brazil or 0,11% of the total population

Economic activities: Na

Sectors covered: All sectors

Labor force status: Employed persons, unemployed persons, persons outside labour force

Status in Employment: Employees, employers, own-account workers, contributing family workers

Establishments: No (National Health Survey only collects data in households)

Other limitations: According to the methodology, employment data is collected only for people aged 14 years and over

Classifications: Sex, age, level of education, type of living arrangements, status in employment, occupation, economic activity, type of disability

Cross-classification: Disability variable can be cross-classified by all variables

Kind of data

Sample survey data [ssd]

Frequency of data collection

Periodicity of Data collection: Every 5 years

Abstract

No intuito de aprimorar o sistema das estatísticas socioeconômicas, o IBGE, em convênio com o Banco Mundial, realizou um projeto piloto de pesquisa multitemática para atender a necessidade de informações que (a) qualifiquem e indiquem os determinantes do bem-estar social de diferentes grupos sociais e (b) permitam identificar os efeitos de políticas governamentais nas condições de vida domiciliar.

O objetivo da pesquisa é fornecer informações adequadas para planejamento, acompanhamento e análises de políticas econômicas e programas sociais em relação ao seus impactos nas condições de vida domiciliar, em especial nas das populações mais carentes.

Substantivamente, a pesquisa proporciona um panorama do bem-estar dos moradores dos domicílios e possibilita o estudo de seus determinantes. Partindo da premissa que quantificar e situar um problema não é suficiente, a pesquisa busca explicações que permitam indicar soluções. Por exemplo, o conhecimento de quantos pobres existem, como e onde moram e o que fazem é apenas uma parte da investigação. Para se produzirem informações que possam subsidiar soluções mais efetivas, é necessário um levantamento detalhado sobre as causas e conseqüências da pobreza. O mesmo princípio se aplica a outras áreas do bem-estar social.

Desta forma, o questionário da pesquisa é planejado para fornecer um conjunto de informações integradas com o objetivo de: - medir a distribuição do bem-estar e o nível de pobreza, principalmente, em áreas onde predominam a agricultura de subsistência, a economia informal e o emprego sazonal; - descrever os padrões de acesso e utilização de serviços públicos - educação, saúde, saneamento básico, etc.;
- compreender como os moradores dos domicílios reagem às condições econômicas e aos impactos de medidas governamentais; e - permitir análises complexas das relações entre os vários aspectos do bem-estar social, como o impacto da saúde no emprego, o padrão de gastos nos níveis nutricionais dos moradores, etc.

A pesquisa, no entanto, não trata os vários temas investigados com a mesma profundidade que as informações levantadas em pesquisas tópicas. Ao mesmo tempo, por ter uma amostra pequena, a precisão dos resultados é menor do que aqueles das pesquisas tópicas. Mas, pela sua abrangência temática, a pesquisa permite um bom resumo multidimensional do bem-estar e o estudo das interações entre os vários fatores.

Geographic coverage

Northeast Region, Southeast Region

Kind of data

Sample survey data [ssd]

Sampling procedure

O PLANEJAMENTO DA AMOSTRA

O desenho amostral da PPV - Pesquisa sobre Padrões de Vida - foi discutido com os técnicos do Banco Mundial e a dimensão da amostra foi fixada em função do orçamento disponível para a realização da pesquisa.

Como pesquisa piloto optou-se por sua realização apenas nas Regiões Nordeste e Sudeste do País, considerando 10 estratos geográficos, a saber: Região Metropolitana de Fortaleza, Região Metropolitana de Recife, Região Metropolitana de Salvador, restante da área urbana do Nordeste, restante da área rural do Nordeste, Região Metropolitana de Belo Horizonte, Região Metropolitana do Rio de Janeiro, Região Metropolitana de São Paulo, restante da área urbana do Sudeste e restante da área rural do Sudeste.

Tal como em outras pesquisas domiciliares realizadas pelo IBGE, optou-se por um desenho com dois estágios de seleção, com estratificação das unidades primárias e seleção proporcional a uma medida de tamanho e seleção aleatória das unidades de segundo estágio. A unidade primária é o setor da base geográfica do Censo Demográfico de 1991 e a unidade de segundo estágio é o domicílio.

O tamanho da amostra para cada estrato geográfico foi fixado em 480 domicílios. Em cada estrato geográfico foi fixado em 60 o número de setores a serem selecionados e 8 domicílios em cada setor, com exceção para os estratos que correspondem ao restante da área rural de cada Região onde fixou-se em 30 o número de setores e em 16 o número de domicílios a serem selecionados por setor, em função da dificuldade de acesso a esses setores, o que implicaria em aumento de custo.

O tamanho da amostra fixado foi defendido pelos técnicos do Banco Mundial em função da experiência nos outros países onde a pesquisa foi ou está sendo conduzida, pela necessidade de produzir informações com a maior rapidez possível e por julgar que o objetivo da pesquisa não é produzir tabulações com cruzamentos de variáveis, tal como ocorre com as informações da Pesquisa Nacional por Amostra de Domicílios - PNAD, mas o de fornecer indicadores de tendência ou de variação em níveis bastante agregados.

A definição dos estratos estatísticos

Conforme descrito anteriormente, o setor é a unidade primária de amostragem, o domicílio é a unidade secundária e unidade de investigação. A estratificação das unidades primárias de amostragem foi definida em duas etapas: a primeira, considerando a divisão geográfica de interesse, que resultou na definição de 10 estratos geográficos; para cada um dos estratos geográficos, a segunda estratificação foi definida por critérios estatísticos, considerando as informações sobre a renda média mensal do chefe do domicílio, variável que foi investigada no Censo Demográfico de 1991 para todos os domicílios.

A alocação da amostra nos estratos de renda

Vale lembrar que o tamanho final da amostra de domicílios foi fixada em função do custo, mais especificamente dos recursos financeiros disponíveis. Em conseqüência, o tamanho da amostra de setores e o número de domicílios a serem selecionados por setor também foram fixados, a saber: - 60 setores e 8 domicílios por setor, nos estratos geográficos urbanos e regiões metropolitanas (estratos geográficos 1,2,3,4,6,7,8 e 9); - 30 setores e 16 domicílios por setor, nos estratos geográficos rurais (estratos geográficos 5 e 10).

Antes da alocação nos estratos de renda, a amostra total nos 10 estratos geográficos ficou com 540 setores e 4.800 domicílios. Foi utilizada a alocação proporcional, com base no número de domicílios particulares permanentes ocupados, obtidos pelo Censo 91.

Vale lembrar quem, durante o procedimento de alocação, os valores resultantes foram arredondados para o maior inteiro e em um único estrato, após o arredondamento, o valor resultante 1 foi alterado para 2 a fim de permitir o cálculo de variâncias. Como pode ser observado, em função da variabilidade da fração amostral, a amostra resultante não é a autoponderada.

A SELEÇÃO DA AMOSTRA

A seleção da amostra de setores

Para a seleção da amostra de setores, segundo o desenho adotado, qual seja, amostra estratificada com probabilidade proporcional ao tamanho, foi utilizado um programa em linguagem SAS, utilizando a macro de seleção PPTCOM (ver Silva (1989), que foi adaptada para considerar automaticamente os estratos geográficos e estratos de renda definidos. A medida de tamanho adotada foi o número de domicílios em cada setor, conforme definição de hi P mais adiante.

Após a seleção dos setores, foi realizada uma comparação desses setores com os setores pertencentes às amostras da PNAD - Pesquisa Nacional por Amostra de Domicílios, da PME - Pesquisa Mensal de Emprego e da amostra selecionada para a POF 96/96 - Pesquisa de Orçamentos Familiares. Como o esquema de seleção das amostras dessas pesquisas é o mesmo, qual seja, seleção com probabilidade proporcional ao tamanho, era de se esperar que houvesse coincidências de setores selecionados para duas ou mais pesquisas. Foram avaliados os procedimentos adotados nessas outras pesquisas para contornar o problema de setores (ou domicílios) serem investigados em mais de um pesquisa no mesmo período. Nenhuma das soluções adotadas em outras pesquisas foi considerada satisfatória, tendo sido decidido substituir os setores coincidentes com os de outras pesquisas, além daqueles que foram selecionados mais de uma vez na própria PPV, uma vez que a seleção foi com reposição.

Em função dessa decisão, foi selecionada uma segunda amostra, usando os mesmos procedimentos adotados quando da seleção da primeira amostra. Dessa segunda amostra foram extraídos todos os setores coincidentes com os das outras três pesquisas, todos os setores coincidentes com os selecionados na primeira amostra e, também, aqueles selecionados mais de uma vez nessa segunda amostra da PPV. Os setores restantes foram analisados comparativamente àqueles a serem substituídos e, para a substituição propriamente dita, foram consideradas algumas variáveis de controle, a saber: estrato geográfico, estrato de renda, situação (urbana ou rural) e tipo de setor (normal ou de favela). Além disso, foi considerado o valor da probabilidade de seleção. Isto significa que um setor substituto tem as mesmas características nas variáveis de controle e tem uma probabilidade de seleção aproximadamente igual à de um setor qualquer dentre os que foram substituídos. Ao todo, foram substituídos 78 setores.

A operação de listagem e a seleção de domicílios

A operação de listagem de setores tem por objetivo construir um cadastro, o mais atualizado possível, dos domicílios existentes nos setores selecionados para a amostra, a fim de permitir a seleção dos domicílios a serem investigados. Em função disso, a operação de listagem foi realizada em quatro etapas, cada uma abrangendo os setores de um trimestre da pesquisa.

Uma vez terminada a listagem dos setores, foi realizada a seleção dos domicílios, que, como definido anteriormente, foi feita com eqüiprobabilidade, considerando os tamanhos de

Brazil IBGE Projection: Population: Residents: Age 0 to 4 Yearss data was reported at 10,774,218.000 Person in 2060. This records a decrease from the previous number of 10,870,292.000 Person for 2059. Brazil IBGE Projection: Population: Residents: Age 0 to 4 Yearss data is updated yearly, averaging 12,967,369.000 Person from Jun 2010 (Median) to 2060, with 51 observations. The data reached an all-time high of 14,858,280.000 Person in 2010 and a record low of 10,774,218.000 Person in 2060. Brazil IBGE Projection: Population: Residents: Age 0 to 4 Yearss data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAB005: Population: Projection: by Region and Age.

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Quarterly: average based on 3 monthly data points

Sampling procedure

Sample size:

Analysis unit

Persons, households, and dwellings Excludes 11 states in the north

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: no - Households: Structurally independent living quarters, consisting of one or more rooms with a private entrance, serving up to three families. - Group quarters: Group living together under relations of administrative subordination; group of six or more persons not related by kinship; or a dwelling with more than 3 families.

Universe

People who spent the night of August 31st to September 1st, 1960, as well as the people who were temporarily absent from the dwelling. Also included: population in transit (those on ships, planes, trains and buses) and people in collective dwellings. Brazilians residing abroad, even those who were performing official governmental functions, were not enumerated. The indigenous population was only partially enumerated - only those living in villages in contact with civilization. Indigenous persons, with exceptions.

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: Servico Nacional de Recenseamento. Instituto Brasileiro de Geografia e Estatística

SAMPLE SIZE (person records): 14983769.

SAMPLE DESIGN: Long-form sample. Systematic sample selected with the same probability inside each census tract. A sample was taken of individual dwellings and of families or individuals in "grupos conviventes" inside collective dwellings with the same sample fraction for tract of that municipality. Each collective dwelling had a separate list form - CD 3 - (Lista de Domicílio Coletivo) to select the families or individuals for the sample. A 25% sample was taken of individual dwellings and of families or individuals in "grupo conviventes". **NOTE: Several states totaling approximately one sixth of the national population are missing from the long-form microdata, and are thus not included in the 1960 sample data. These states are Rondônia, Acre, Amazonas, Roraima, Pará, Amapá, Maranhão, Piauí, Espírito Santo, Guanabara, and Santa Catarina. Indigenous persons, with exceptions.

Mode of data collection

Face-to-face [f2f]

Research instrument

Long and short enumeration forms. The short form contains general information about the characteristics of the dwelling and each of persons in the dwelling. The long form contains general and more specific information about the characteristics of the dwelling, families, and each of the people in the dwellings and was applied to a 25% sample of the population.

Abstract

Objectives: To provide general information about people with disabilities that can be used in the development of appropriate policies.

Reference Period: Month

Periodicity of Data Collection: Every 10 years

Geographic coverage

Whole country

Analysis unit

Individuals

Universe

Population groups: All age groups

Total population covered: All

Economic activities: All economic activities

Sectors covered: All sectors

Labor force status: Employed persons, unemployed persons, persons outside labour force

Status in Employment: Employees, employers, own-account workers, contributing family workers, members of producers' cooperatives

Establishments: NR (census was not designed to collect data on all types of establishments)

Other limitations: According to census methodology, employment data is collected only for people with 10 years or more

Classifications: Sex, age, level of education, type of living arrangements, status in employment, occupation, economic activity, type of disability

Cross-classification: Disability variable can be cross-classified by all variables

Kind of data

Census/enumeration data [cen]

Frequency of data collection

Periodicity of Data collection: Every 10 years

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.

Geographic coverage

National

Kind of data

Census/enumeration data [cen]

Sampling procedure

10136022 Individuals 2652356 Households

Mode of data collection

Face-to-face

Brazil IBGE Projection: Population: Residents: Female: Age 5 to 9 Years data was reported at 5,478,538.000 Person in 2060. This records a decrease from the previous number of 5,519,183.000 Person for 2059. Brazil IBGE Projection: Population: Residents: Female: Age 5 to 9 Years data is updated yearly, averaging 6,646,363.000 Person from Jun 2010 (Median) to 2060, with 51 observations. The data reached an all-time high of 7,770,558.000 Person in 2010 and a record low of 5,478,538.000 Person in 2060. Brazil IBGE Projection: Population: Residents: Female: Age 5 to 9 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAB044: Population: Projection: by Region and Age: Female (Discontinued).

Dataset name: asppl_dataset_v2.csv

Version: 2.0

Dataset period: 06/07/2018 - 01/14/2022

Dataset Characteristics: Multivalued

Number of Instances: 8118

Number of Attributes: 9

Missing Values: Yes

Area(s): Health and education

Sources:

• Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2022a);

• Brazilian Occupational Classification (CBO) (Brasil, 2022b);

• National Registry of Health Establishments (CNES) (Brasil, 2022c);

• Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2022e).

Description: The data contained in the asppl_dataset_v2.csv dataset (see Table 1) originates from participants of the technology-based educational course “Health Care for People Deprived of Freedom.” The course is available on the AVASUS (Brasil, 2022a). This dataset provides elementary data for analyzing the course’s impact and reach and the profile of its participants. In addition, it brings an update of the data presented in work by Valentim et al. (2021).

Table 1: Description of AVASUS dataset features.

Attributes	Description	datatype	Value
gender	Gender of the course participant.	Categorical.	Feminino / Masculino / Não Informado. (In English, Female, Male or Uninformed)
course_progress	Percentage of completion of the course.	Numerical.	Range from 0 to 100.
course_evaluation	A score given to the course by the participant.	Numerical.	0, 1, 2, 3, 4, 5 or NaN.
evaluation_commentary	Comment made by the participant about the course.	Categorical.	Free text or NaN.
region	Brazilian region in which the participant resides.	Categorical.	Brazilian region according to IBGE: Norte, Nordeste, Centro-Oeste, Sudeste or Sul (In English North, Northeast, Midwest, Southeast or South).
CNES	The CNES code refers to the health establishment where the participant works.	Numerical.	CNES Code or NaN.
health_care_level	Identification of the health care network level for which the course participant works.	Categorical.	“ATENCAO PRIMARIA”, “MEDIA COMPLEXIDADE”, “ALTA COMPLEXIDADE”, and their possible combinations. (In English "PRIMARY HEALTH CARE", "SECONDARY HEALTH CARE" AND "TERTIARY HEALTH CARE")
year_enrollment	Year in which the course participant registered.	Numerical.	Year (YYYY).
CBO	Participant occupation.	Categorical.	Text coded according to the Brazilian Classification of Occupations or “Indivíduo sem afiliação formal.” (In English “Individual without formal affiliation.”)

Dataset name: prison_syphilis_and_population_brazil.csv

Dataset period: 2017 - 2020

Dataset Characteristics: Multivalued

Number of Instances: 6

Number of Attributes: 13

Missing Values: No

Source:

• National Penitentiary Department (DEPEN) (Brasil, 2022d);

Description: The data contained in the prison_syphilis_and_population_brazil.csv dataset (see Table 2) originate from the National Penitentiary Department Information System (SISDEPEN) (Brasil, 2022d). This dataset provides data on the population and prevalence of syphilis in the Brazilian prison system. In addition, it brings a rate that represents the normalized data for purposes of comparison between the populations of each region and Brazil.

Table 2: Description of DEPEN dataset Features.

Attributes	Description	datatype	Value
Region	Brazilian region in which the participant resides. In addition, the sum of the regions, which refers to Brazil.	Categorical.	Brazil and Brazilian region according to IBGE: North, Northeast, Midwest, Southeast or South.
syphilis_2017	Number of syphilis cases in the prison system in 2017.	Numerical.	Number of syphilis cases.
syphilis_rate_2017	Normalized rate of syphilis cases in 2017.	Numerical.	Syphilis case rate.
syphilis_2018	Number of syphilis cases in the prison system in 2018.	Numerical.	Number of syphilis cases.
syphilis_rate_2018	Normalized rate of syphilis cases in 2018.	Numerical.	Syphilis case rate.
syphilis_2019	Number of syphilis cases in the prison system in 2019.	Numerical.	Number of syphilis cases.
syphilis_rate_2019	Normalized rate of syphilis cases in 2019.	Numerical.	Syphilis case rate.
syphilis_2020	Number of syphilis cases in the prison system in 2020.	Numerical.	Number of syphilis cases.
syphilis_rate_2020	Normalized rate of syphilis cases in 2020.	Numerical.	Syphilis case rate.
pop_2017	Prison population in 2017.	Numerical.	Population number.
pop_2018	Prison population in 2018.	Numerical.	Population number.
pop_2019	Prison population in 2019.	Numerical.	Population number.
pop_2020	Prison population in 2020.	Numerical.	Population number.

Dataset name: students_cumulative_sum.csv

Dataset period: 2018 - 2020

Dataset Characteristics: Multivalued

Number of Instances: 6

Number of Attributes: 7

Missing Values: No

Source:

• Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2022a);

• Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2022e).

Description: The data contained in the students_cumulative_sum.csv dataset (see Table 3) originate mainly from AVASUS (Brasil, 2022a). This dataset provides data on the number of students by region and year. In addition, it brings a rate that represents the normalized data for purposes of comparison between the populations of each region and Brazil. We used population data estimated by the IBGE (Brasil, 2022e) to calculate the rate.

Table 3: Description of Students dataset Features.

Abstract

The objective of the research is to provide adequate information for planning, monitoring and analysis of economic policies and social programs in relation to their impacts on the conditions of home life, especially those of the poorest populations. Substantially, the survey provides an overview of the well-being of household residents and allows the study of its determinants. Starting from the premise that quantifying and situating a problem is not enough, the research seeks explanations that allow indicating solutions. For example, knowing how many poor people there are, how and where they live and what they do is only part of the investigation. In order to produce information that can support more effective solutions, a detailed survey of the causes and consequences of poverty is necessary. The same principle applies to other areas of social welfare. In this way, the survey questionnaire is designed to provide a set of integrated information with the aim of:

· Measure the distribution of well-being and the level of poverty, mainly in areas where subsistence agriculture, the informal economy and seasonal employment predominate · Describe the patterns of access and use of public services - education, health, basic sanitation, etc. · Understand how households react to economic conditions and the impacts of government measures · Allow complex analyses of the relationships between the various aspects of social well-being, such as the impact of health on employment, the pattern of spending on nutritional levels of residents, etc.

The research, however, does not address the various topics investigated with the same depth as the information collected in topical research. At the same time, due to having a small sample, the accuracy of the results is less than that of topical research. However, due to its thematic scope, the research allows a good multidimensional summary of well-being and the study of the interactions between the various factors.

Geographic coverage

National

Analysis unit

Households

Kind of data

Sample survey data [ssd]

Sampling procedure

(a) THE SAMPLE PLANNING

The sample design of the PPV - Research on Living Standards - was discussed with World Bank technicians and the sample size was determined according to the budget available for the research. As a pilot research, it was chosen to be carried out only in the Northeast and Southeast regions of the country, considering 10 geographic strata, namely: Metropolitan Region of Fortaleza, Metropolitan Region of Recife, Metropolitan Region of Salvador, remainder of the urban area of the Northeast, remainder of rural area of the Northeast, Metropolitan Region of Belo Horizonte, Metropolitan Region of Rio de Janeiro, Metropolitan Region of São Paulo, remainder of the urban area of the Southeast and remainder of the rural area of the Southeast. As in other household surveys conducted by IBGE, a design with two stages of selection was chosen, with stratification of the primary units and selection proportional to a size measure and random selection of the second stage units. The primary unit is the sector of the geographical base of the 1991 Demographic Census and the second stage unit is the household.

(b) SAMPLE SIZE The sample size for each geographic stratum was fixed at 480 households. In each geographic stratum, the number of sectors to be selected was set at 60 and 8 households in each sector, with the exception of strata that correspond to the rest of the rural area of each Region, where the number of sectors was fixed at 30 and 16 the number of households to be selected by sector, due to the difficulty of access to these sectors, which would imply increase costs. The size of the fixed sample was defended by World Bank technicians due to the experience in other countries where the research was or is being conducted, the need to produce information as quickly as possible and because the research is not intended to produce tabulation with crossings of variables, as occurs with the information from the National Household Sample Survey - PNAD, but to provide trend or variation indicators at very aggregate levels.

(c) THE DEFINITION OF STATISTICAL STRATA

The final sample size of households was fixed according to the cost, more specifically the financial resources available. As a result, the sample size of sectors and the number of households to be selected by sector were also fixed, namely: - 60 sectors and 8 households per sector, in urban geographic strata and metropolitan regions - 30 sectors and 16 households per sector, in rural geographic strata

Before the allocation in the income strata, the total sample in the 10 geographic strata had 540 sectors and 4,800 households. Proportional allocation was used, based on the number of occupied permanent private households, obtained by Census 91.

Mode of data collection

Face-to-face [f2f]

Geographic coverage

National

Kind of data

Census/enumeration data [cen]

Sampling procedure

5870469 Individuals 1343377 Households

Mode of data collection

Face-to-face

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Pesquisa no sistema SIDRA

https://sidra.ibge.gov.br/pesquisa/censo-demografico

Tabelas SIDRA

Tabela 1378 - População residente, por situação do domicílio, sexo e idade, segundo a condição no domicílio e compartilhamento da responsabilidade pelo domicílio

Brazil IBGE Projection: Population: Residents: Male: Age 45 to 49 Years data was reported at 7,050,917.000 Person in 2060. This records an increase from the previous number of 6,991,754.000 Person for 2059. Brazil IBGE Projection: Population: Residents: Male: Age 45 to 49 Years data is updated yearly, averaging 7,427,925.000 Person from Jun 2010 (Median) to 2060, with 51 observations. The data reached an all-time high of 8,239,414.000 Person in 2044 and a record low of 5,768,516.000 Person in 2010. Brazil IBGE Projection: Population: Residents: Male: Age 45 to 49 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAB043: Population: Projection: by Region and Age: Male (Discontinued).

Brazil IBGE Projection: Population: Residents: Age 55 to 59 Years data was reported at 14,494,713.000 Person in 2060. This records a decrease from the previous number of 14,747,850.000 Person for 2059. Brazil IBGE Projection: Population: Residents: Age 55 to 59 Years data is updated yearly, averaging 14,494,713.000 Person from Jun 2010 (Median) to 2060, with 51 observations. The data reached an all-time high of 15,990,939.000 Person in 2043 and a record low of 8,387,564.000 Person in 2010. Brazil IBGE Projection: Population: Residents: Age 55 to 59 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAB042: Population: Projection: by Region and Age (Discontinued).

Abstract

The National Household Survey - PNAD investigates annually and permanently, general characteristics of the population, education, labor, income and housing, and others with varying regularity, according to the information needs for the country. Such characteristics include migration, fertility , marriage, health, food security, among other topics. The survey of these statistics is an important instrument for the formulation, validation and evaluation of policies to socio-economic development and the improvement of living conditions in Brazil.

Geographic coverage

National

Analysis unit

• Households
• Individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey is conducted by a random sample of households. The information is provided by person resident or non-resident, considered capable of providing information for the whole neighborhood and the home. The interviewer is instructed not to accept a person under 14 years of age as an informant. The sampling plan uses cluster sampling, self-weighted in three stages (respectively municipalities, census tracts and households) with geographical stratification of the units of the first stage set for each state. The large municipalities in terms of population and those belonging to the metropolitan areas were each treated as a stratum and therefore included in the sample with certainty, being called autorrepresentativos. The other municipalities within the same geographic microregion were grouped into strata of approximately equal size, and designated non autorrepresentativos. Strata in these municipalities were selected systematically with probability proportional to size (ppt). Sectors are the unit of selection in the second stage and also are selected systematically and ppt, in which case the size is measured by the number of households. The sectors were stratified according to the situation of urban and rural states of the northern region, except for Tocantins, to allow comparison of indicators from PNADs after 2004 with those performed before insertion of the rural area of the northern states. In other regions this stratification is only implicit, ie, there is an ordering for the situation of the sector before the systematic selection. Municipalities and selected sectors are kept in the sample until they are available new Census data, when they are selected new units for the sample. Each year, in each sector selected for the sample is prepared (or updated) in the field a listing of households, producing an updated register for selection. An important characteristic of this listing operation refers to the Register of New Buildings, which is prepared to contain the buildings account for large changes in the sizes of sectors. The inventory of new construction is done in the municipalities of the sample, both in the sectors selected for the sample as those not selected. An area of new construction is excluded from the area of the original sector and is dealt with separately at the time of selection of households in this case is performed according to the sample fraction of the area. Households, which are units of the third selection stage, are formed by private households and the housing units in collective households occupied during the listing operation. The initial number of households per sector in the sample was set at 16. The sampling fraction indicates the proportion of the population constituting the sample. Currently fractions ranging from 1/50 (rural area of Roraima) to 1/800 (Sao Paulo). How the selection of households in each selected sector for the sample is done systematically to ensure self-weighting sample, the selection range of households remains fixed from year to year. This procedure entails an annual increase in the number of households in the sample, it depends on the number of households upgraded the sector by listing operation. In PNAD 2008, approximately 151,000 households were selected. The final size of the sample of PNAD 2009 was approximately 851 municipalities, 7818 153837 sectors and households. In 2007 PNAD introduced the use of electronic collector ( Personal Digital Assistant - PDA) for carrying out data collection, making it possible to improve the research operating system . Also during PNAD 2007 the DIA system was used, which is an imputation system that automatically detects qualitative data errors. Developed by the National Institute of Statistics - INE of Spain, the software aims to facilitate debugging censuses and large statistical research. In this first year of use of the application, all steps of criticism usually applied to data from the National Household Survey core questionnaire were performed, followed by a process of simultaneous validation of the data collected. In 2008 PNAD used only the Canadian Census Edit and Imputation System - CANCEIS already including the procedures usually applied to critical data from the questionnaires. Starting from PNAD 2011 sample selection of Rondônia, Acre, Amazonas, Roraima, Pará and Amapá followed the same methodology in other units of the Federation.

Mode of data collection

Face-to-face [f2f]