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Daily observations of the CEPEA/ESALQ Arabica coffee price indicator, accompanied by an inflation-adjusted dollar series and a derived moving-average column.

spot_rs and spot_us are nominal at-sight prices in Brazilian reais and U.S. dollars per 60-kg bag. CEPEA converts the dollar value using the commercial selling exchange rate quoted at 16:30. usd_2022 is calculated in this package from spot_us using U.S. inflation data and priceR.

CEPEA defines the indicator as type 6 Arabica coffee, hard cup or better, well prepared, with up to 86 defects in a 300-g sample. It represents wholesale lot transactions delivered to the city of São Paulo, with freight from the producing region included. The reference regions are Cerrado and southern Minas Gerais, Mogiana and Garça in São Paulo, and northwestern Paraná. Regional weights are based on production volumes reported by IBGE and are updated on the first business day of a new crop. CEPEA excludes observations outside two standard deviations from the sample mean and includes taxes in the reported values. For term transactions, CEPEA discounts prices at CDI from 2021-03-01; before that it used NPR. The survey consults cooperatives, brokers, roasters, and exporters.

The indicator is daily and its historical series begins in September 1996. The bundled observations run from 1996-09-02 through 2025-04-17.

Usage

coffee_arabica

Format

A tibble with daily observations:

date

Observation date (Date).

spot_rs

CEPEA at-sight price in Brazilian reais per 60-kg bag.

spot_us

CEPEA at-sight price in U.S. dollars per 60-kg bag.

usd_2022

spot_us adjusted to 2022 U.S. dollars using priceR.

trend_ma

22-observation, right-aligned moving average of usd_2022. The first 21 observations have no full window and are NA.

Source

Original data: Centro de Estudos Avançados em Economia Aplicada (CEPEA), Escola Superior de Agricultura Luiz de Queiroz (ESALQ), Universidade de São Paulo (USP), CEPEA/ESALQ Arabica price series. See the CEPEA Arabica methodology. CEPEA identifies its coffee data as available under the CC BY-NC 4.0 license. This package distributes an adapted version by adding usd_2022 and trend_ma.

See also