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Get ENEM (Exame Nacional do Ensino Médio) data

Source: R/get-enem.R
get_enem.Rd

Downloads and processes microdata from ENEM, the Brazilian National High School Exam. ENEM is used for university admissions and as a high school equivalency exam.

Usage

get_enem(
  year,
  type = "participantes",
  n_max = Inf,
  keep_zip = TRUE,
  quiet = FALSE
)

Arguments

year

The year of the exam (1998-2024).

type

Type of data to load. Only used for ENEM 2024+, where microdata is split into separate files. Options: "participantes" (demographics and socioeconomic data, default), "resultados" (scores). Ignored for years before 2024 (single file with all data).

n_max

Maximum number of rows to read. Default is Inf (all rows). Consider using a smaller value for exploration, as ENEM files contain millions of rows.

keep_zip

Logical. If TRUE, keeps the downloaded ZIP file in cache.

quiet

Logical. If TRUE, suppresses progress messages.

Value

A tibble with the ENEM microdata in tidy format.

Details

ENEM is conducted annually by INEP and is the largest exam in Brazil, with millions of participants. The microdata includes:

  • Participant demographics (age, sex, race, etc.)

  • Socioeconomic questionnaire responses

  • Scores for each test area

  • Essay scores

  • School information (when applicable)

Important notes:

  • ENEM files are very large (several GB when extracted).

  • Use n_max to read a sample first for exploration.

  • Column names are standardized to lowercase with underscores.

  • Score variables start with nu_nota_ prefix.

  • From 2024 onwards, INEP split the microdata into separate files. Use the type parameter to choose which file to load.

Data dictionary

For detailed information about variables, see INEP's documentation: https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos/microdados/enem

See also

Other ENEM functions: enem_summary(), get_enem_escola(), get_enem_itens()

Examples

if (FALSE) { # \dontrun{
# get a sample of 10000 rows for exploration
enem_sample <- get_enem(2023, n_max = 10000)

# get full data (warning: large file)
enem_2023 <- get_enem(2023)

# ENEM 2024+: choose data type
participantes <- get_enem(2024, type = "participantes", n_max = 1000)
resultados <- get_enem(2024, type = "resultados", n_max = 1000)
} # }