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SI-PNI — Aggregated Vaccine Doses (Brazil, 1994–2019)
Historical aggregated data on administered vaccine doses from Brazil's National Immunization Program (SI-PNI), covering 26 years of municipality- level records. Converted from legacy .dbf files to Apache Parquet for modern analytical access.
Part of the healthbr-data project — open redistribution of Brazilian public health data.
Summary
| Item | Detail |
|---|---|
| Official source | DATASUS FTP / Ministry of Health |
| Temporal coverage | 1994–2019 |
| Geographic coverage | All Brazilian municipalities (by state) |
| Granularity | Aggregated: one row per municipality × vaccine × dose × age group |
| Volume | 84M+ records (674 .dbf files processed) |
| Format | Apache Parquet, partitioned by ano/uf |
| Data types | All fields stored as string (preserves original format) |
| Update frequency | Static (historical series, no longer updated at source) |
| License | CC-BY 4.0 |
Resumo em português
SI-PNI — Doses Aplicadas Agregadas (Brasil, 1994–2019)
Dados históricos agregados de doses aplicadas do Programa Nacional de Imunizações (PNI), cobrindo 26 anos de registros em nível municipal. Convertidos de arquivos .dbf legados para Apache Parquet.
| Item | Detalhe |
|---|---|
| Fonte oficial | FTP DATASUS / Ministério da Saúde |
| Cobertura temporal | 1994–2019 |
| Cobertura geográfica | Todos os municípios brasileiros (por UF) |
| Granularidade | Agregado: uma linha por município × vacina × dose × faixa etária |
| Volume | 84M+ registros (674 arquivos .dbf processados) |
| Formato | Apache Parquet, particionado por ano/uf |
| Atualização | Estática (série histórica, não atualizada na fonte) |
Para documentação completa em português, consulte o repositório do projeto.
Data access
Data is hosted on Cloudflare R2 and accessed via S3-compatible API. The credentials below are read-only and intended for public use.
R (Arrow)
library(arrow)
library(dplyr)
Sys.setenv(
AWS_ENDPOINT_URL = "https://5c499208eebced4e34bd98ffa204f2fb.r2.cloudflarestorage.com",
AWS_ACCESS_KEY_ID = "28c72d4b3e1140fa468e367ae472b522",
AWS_SECRET_ACCESS_KEY = "2937b2106736e2ba64e24e92f2be4e6c312bba3355586e41ce634b14c1482951",
AWS_DEFAULT_REGION = "auto"
)
ds <- open_dataset("s3://healthbr-data/sipni/agregados/doses/", format = "parquet")
# Example: vaccine doses in Acre, 2010
ds |>
filter(ano == "2010", uf == "AC") |>
count(IMUNO) |>
collect()
Python (PyArrow)
import pyarrow.dataset as pds
import pyarrow.fs as fs
s3 = fs.S3FileSystem(
endpoint_override = "https://5c499208eebced4e34bd98ffa204f2fb.r2.cloudflarestorage.com",
access_key = "28c72d4b3e1140fa468e367ae472b522",
secret_key = "2937b2106736e2ba64e24e92f2be4e6c312bba3355586e41ce634b14c1482951",
region = "auto"
)
dataset = pds.dataset(
"healthbr-data/sipni/agregados/doses/",
filesystem = s3,
format = "parquet",
partitioning = "hive"
)
table = dataset.to_table(
filter=(pds.field("ano") == "2010") & (pds.field("uf") == "AC")
)
print(table.to_pandas().head())
Note: These credentials are read-only and safe to use in scripts. The bucket does not allow anonymous S3 access — credentials are required.
File structure
s3://healthbr-data/sipni/agregados/doses/
README.md
ano=1994/
uf=AC/
part-0.parquet
uf=AL/
part-0.parquet
...
ano=1995/
...
Structural eras
The .dbf files underwent two structural transitions over 26 years:
| Era | Period | Columns | Key difference |
|---|---|---|---|
| 1 | 1994–2003 | 7 | Basic structure, 7-digit municipality code |
| 2 | 2004–2012 | 12 | Added dose, age group, and population fields; 7-digit municipality code |
| 3 | 2013–2019 | 12 | Same columns as era 2, but 6-digit municipality code |
All eras are preserved as-is in the Parquet files. The municipality code format (7 vs 6 digits) is kept as originally recorded.
Schema
Key variables (varies by era):
| Variable | Description | Available |
|---|---|---|
MUNICIP |
Municipality code (7 digits until 2012, 6 digits from 2013) | All eras |
IMESSION |
Vaccine code (per IMUNO.CNV dictionary, 85 entries) | All eras |
QT_DOSE |
Number of administered doses | All eras |
DOSE |
Dose type (1st, 2nd, booster, etc.) | Eras 2–3 |
FX_ETARIA |
Age group | Eras 2–3 |
POP |
Target population | Eras 2–3 |
For the complete vaccine code dictionary (65 unique codes across 26 years), see
IMUNO.CNVfrom the DATASUS FTP/PNI/AUXILIARES/directory.
Source and processing
Original source: 702 .dbf files (dBase III) from the DATASUS FTP server
(ftp://ftp.datasus.gov.br/dissemin/publicos/PNI/DADOS/). Of these, 674
were successfully processed, 12 were unavailable on the server, and 16 were
empty.
Processing: .dbf → R (foreign::read.dbf) → Parquet (arrow::write_dataset)
→ upload to R2 (rclone). No transformations are applied. Consolidated
files (UF, BR, IG prefixes) were excluded — only state-level files with
municipal granularity are included.
Validation: The sum of all 27 state files matches the national consolidated file (DPNIBR) with zero difference.
Known limitations
- Government data, not ours. Values are preserved exactly as in the original .dbf files.
- Three structural eras. Column availability and municipality code format change across time periods. Users must handle this in analysis.
- All fields are strings. Preserves original format including municipality code leading digits.
- No microdata. These are aggregated counts, not individual records.
For individual-level data from 2020 onward, see
sipni-microdados. - Static dataset. The Ministry stopped publishing aggregated .dbf files after 2019. The new SI-PNI system (2020+) produces individual records instead.
Citation
@misc{healthbrdata,
author = {Sidney da Silva Bissoli},
title = {healthbr-data: Redistribution of Brazilian Public Health Data},
year = {2026},
url = {https://huggingface.co/datasets/SidneyBissoli/sipni-agregados-doses},
note = {Original source: Ministry of Health / DATASUS}
}
Contact
- GitHub: https://github.com/SidneyBissoli
- Hugging Face: https://huggingface.co/SidneyBissoli
- E-mail: sbissoli76@gmail.com
Last updated: 2026-02-28
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