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Monthly macroeconomic indicators from the Brazilian Central Bank (Banco Central do Brasil), covering economic activity, inflation, industrial production, services, and oil production.

Usage

macro_series

Format

A data frame with 560 rows and 6 variables:

date

Date, first day of the month (YYYY-MM-DD)

ibcbr_dessaz

IBC-Br dessazonalizado (Seasonally adjusted Central Bank Economic Activity Index). Monthly economic activity indicator that serves as a proxy for GDP, base 2002 = 100

ipca

IPCA - Índice de Preços ao Consumidor Amplo (Broad Consumer Price Index). Monthly inflation rate in percent, official inflation measure used for monetary policy targeting

ipi

IPI - Índice de Produção Industrial (Industrial Production Index). Measures monthly industrial production, base 2012 = 100

oil

Produção de petróleo bruto (Crude oil production). Monthly crude oil production in thousands of barrels per day

Source

Brazilian Central Bank (Banco Central do Brasil) https://www3.bcb.gov.br/sgspub/

Details

This dataset contains key macroeconomic indicators widely used for economic analysis and forecasting in Brazil. The data is sourced directly from the Brazilian Central Bank's Time Series Management System (SGS).

**Series codes used:**

  • IPCA: 433

  • IPI: 21859

  • Oil production: 1389

  • IBC-Br (seasonally adjusted): 24364

Examples

if (FALSE) { # has_insper_fonts()
library(ggplot2)

# Plot inflation over time using insper_timeseries
recent_data <- subset(macro_series, date >= as.Date("2020-01-01"))
insper_timeseries(recent_data, x = date, y = ipca) +
  labs(
    title = "Brazilian Inflation (IPCA)",
    subtitle = "Monthly rate in percent (2020-present)",
    y = "IPCA (%)"
  )
}