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DATASUS Self-Harm Death Records
Data Science and Analytics
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About
This historical series provides detailed mortality data concerning self-inflicted injuries (suicides) in Brazil over a ten-year period. The information is drawn from the DATASUS Sistema de Informação sobre Mortalidade (SIM). Cases were specifically selected using International Classification of Diseases (CID) codes ranging from X600 to X850, representing external causes of mortality due to self-harm. The resulting data product supports epidemiological analysis, time series modelling, and deep dives into public health trends related to mental health and intentional self-injury across Brazilian states and municipalities.
Columns
The dataset contains 18 columns, including:
- Identificação: Unique identifier.
- estado: State of registration.
- pop_ibge: Population of the corresponding state, based on Instituto Brasileiro de Geografia e Estatística (IBGE) figures.
- ano: Year of registration.
- mes: Month of registration.
- DTOBITO: Date of death in YYYY-MM-DD format.
- DTNASC: Date of birth in YYYY-MM-DD format.
- SEXO: Registered sex (Male/Feminino).
- RACACOR: Race or colour according to IBGE classification (e.g., Branca, Parda).
- ASSISTMED: Indication of whether medical assistance was received.
- ESCMAE: Registered educational attainment of the mother.
- ESTCIV: Civil status (e.g., Solteiro/a, Casado/a).
- ESC: Educational attainment of the deceased (in years).
- OCUP: Occupation.
- CODMUNRES: City code.
- CAUSABAS / CAUSABAS_O: Basic cause of death, classified according to CID codes.
- LOCOCOR: Location where the death occurred (e.g., Domicílio, Hospital).
- CIRURGIA: Indication of whether surgery was performed.
Distribution
The data is provided in a CSV file format (
suicidios_2010_a_2019.csv), which is 17.21 MB in size. It contains 18 fields and approximately 112,000 valid records. The expected update frequency for this specific series is noted as 'Never', as it represents a fixed historical collection.Usage
This dataset is suitable for:
- Quantitative Research: Analysing trends in self-inflicted injury rates across different years and months in Brazil.
- Geographic Analysis: Visualizing suicide occurrences based on state and city data.
- Demographic Segmentation: Examining the distribution of cases based on sex (where 79% are Male), race/colour (50% White, 41% Parda), and civil status.
- Healthcare Policy: Informing public health interventions by identifying common locations of occurrence (61% Domicílio) and correlating events with factors like medical assistance history.
Coverage
The data covers Brazil nationally, encompassing mortality records from all 27 unique states. São Paulo state accounts for the highest percentage of registrations (20%). The time frame spans a full decade, from the beginning of 2010 through the end of 2019. The dataset includes demographic variables such as sex, race/colour, education, and occupation, providing a rich basis for targeted social and health studies.
License
CC0: Public Domain
Who Can Use It
- Public Health Researchers: To study mortality patterns, risk factors, and the effectiveness of preventative measures.
- Government Analysts: For planning mental health services and evaluating regional disparities in mortality rates.
- Data Visualization Specialists: To create visual representations of historical suicide trends and demographic distributions.
- Epidemiologists: For assessing the burden of self-inflicted injuries over time within the Brazilian population.
Dataset Name Suggestions
- Brazilian Suicide Mortality Historical Series (2010-2019)
- DATASUS Self-Harm Death Records
- Brazil 10-Year Suicide Data Series
Attributes
Original Data Source: DATASUS Self-Harm Death Records
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