Brazil Mid-Month Consumer Price Index (CPI) m/m

Country:
Brazil
BRL, Brazilian real
Sector:
Prices
Medium -0.59% 0.26%
-0.01%
Last release Importance Actual Forecast
Previous
0.27%
-0.59%
Next release Actual Forecast
Previous
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The National Broad Consumer Price Index (IPCA) measures the inflation of prices of retail products and services in relation to household consumption, where earnings vary between 1 and 40 minimum wages, regardless of the source of income. The index seeks to cover 90% of families living in urban areas included in the National System of Consumer Indices (SNIPC).

The IPCA-15 difference from the National Broad Consumer Price Index (IPCA) is only in the period of time that the survey encompasses, generally from the 16th of the previous month to the 15th of the reference month. The SNIPC collects the data in 11 urban areas, which are the metropolitan areas of Belém, Fortaleza, Recife, Salvador, Belo Horizonte, Rio de Janeiro, São Paulo, Curitiba, Porto Alegre, the Federal District and Goiânia.

Generally, the IPCA methodology includes the following fields: composition of the general price structure; delimitation of the registration bases of products and places; pricing and method of calculation.

The prices are obtained from the registers of informants and products, according to the specific methods of survey. In order to register the informants, two lines of procedures are used, depending on the nature of the various goods searched:

The main line procedure is a survey of informants through the Purchase Locations Search — PLC.

The second line is made for peculiar subitems, where the methodology of the PLC cannot be used (for example: rental values for housing, domestic servants, condominium, utilities, taxes, etc).

The calculation method is accomplished primarily through the arithmetic average of prices collected at different commercial establishments for each product researched in the current month and the average price is compared with the result of the previous month. Subsequently, the subitems index is calculated by applying a simple geometric mean to aggregate the results of the products belonging to the subitems. Finally, for all higher levels of the aggregate set, the Laspeyres formula is used.

The IPCA-15 Monthly is officially released monthly by the IBGE Automatic Recovery System — SIDRA. The growth of this index can be considered positive for the Brazilian real.

Last values:

actual data

forecast

The chart of the entire available history of the "Brazil Mid-Month Consumer Price Index (CPI) m/m" macroeconomic indicator. The dashed line shows the forecast values ​​of the economic indicator for the specified dates.

A significant deviation of a real value from a forecast one may cause a short-term strengthening or weakening of a national currency in the Forex market. The threshold values ​​of the indicators signaling the approach of the critical state of the national (local) economy occupy a special place.

Date (GMT)
Reference
Actual
Forecast
Previous
May 2020
-0.59%
0.26%
-0.01%
Apr 2020
-0.01%
0.27%
0.02%
Mar 2020
0.02%
0.27%
0.22%
Feb 2020
0.22%
0.24%
0.71%
Jan 2020
0.71%
0.23%
1.05%
Dec 2019
1.05%
0.19%
0.14%
Nov 2019
0.14%
0.25%
0.09%
Oct 2019
0.09%
0.28%
0.09%
Sep 2019
0.09%
0.3%
0.08%
Aug 2019
0.08%
0.3%
0.09%
Jul 2019
0.09%
0.35%
0.06%
Jun 2019
0.06%
0.33%
0.35%
May 2019
0.35%
0.28%
0.72%
Apr 2019
0.72%
0.32%
0.54%
Mar 2019
0.54%
0.14%
0.34%
Feb 2019
0.34%
0.1%
0.3%
Jan 2019
0.3%
-0.16%
Dec 2018
-0.16%
0.19%
Nov 2018
0.19%
0.58%
Oct 2018
0.58%
0.09%
Sep 2018
0.09%
0.13%
Aug 2018
0.13%
0.64%
Jul 2018
0.64%
1.11%
Jun 2018
1.11%
0.14%
May 2018
0.14%
0.21%
Apr 2018
0.21%
0.1%
Mar 2018
0.1%
0.38%
Feb 2018
0.38%
0.39%
Jan 2018
0.39%
0.35%
Dec 2017
0.35%
0.32%
Nov 2017
0.32%
0.34%
Oct 2017
0.34%
0.11%
Sep 2017
0.11%
0.35%
Aug 2017
0.35%
-0.18%
Jul 2017
-0.18%
0.16%
Jun 2017
0.16%
0.24%
May 2017
0.24%
0.21%
Apr 2017
0.21%
0.15%
Mar 2017
0.15%
0.54%
Feb 2017
0.54%
0.31%
Jan 2017
0.31%
0.19%
Dec 2016
0.19%
0.26%
Nov 2016
0.26%
0.19%
Oct 2016
0.19%
0.23%
Sep 2016
0.23%
0.45%
Aug 2016
0.45%
0.54%
Jul 2016
0.54%
0.4%
Jun 2016
0.4%
0.86%
May 2016
0.86%
0.51%
Apr 2016
0.51%
0.43%

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