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Brazil IPC-Fipe Inflation Month-over-Month (MoM)

Price

0.09 %
Change +/-
-0.24 %
Percentage Change
-114.29 %

The current value of the IPC-Fipe Inflation Month-over-Month (MoM) in Brazil is 0.09 %. The IPC-Fipe Inflation Month-over-Month (MoM) in Brazil decreased to 0.09 % on 5/1/2024, after it was 0.33 % on 4/1/2024. From 1/1/1950 to 6/1/2024, the average GDP in Brazil was 4.28 %. The all-time high was reached on 3/1/1990 with 79.11 %, while the lowest value was recorded on 11/1/1950 with -2.09 %.

Source: FIPE - Fundacao Instituto de Pesquisas Economicas

IPC-Fipe Inflation Month-over-Month (MoM)

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IPC-Fipe Inflation MoM

IPC-Fipe Inflation Month-over-Month (MoM) History

DateValue
5/1/20240.09 %
4/1/20240.33 %
3/1/20240.26 %
2/1/20240.46 %
1/1/20240.46 %
12/1/20230.38 %
11/1/20230.43 %
10/1/20230.3 %
9/1/20230.29 %
5/1/20230.2 %
1
2
3
4
5
...
84

Similar Macro Indicators to IPC-Fipe Inflation Month-over-Month (MoM)

NameCurrentPreviousFrequency
🇧🇷
Consumer Price Index (CPI)
6,895.24 points6,869.14 pointsMonthly
🇧🇷
Consumer Price Index for Housing and Utilities
11,671.71 points11,584.82 pointsMonthly
🇧🇷
Core Inflation Rate
4.655 %5.06 %Monthly
🇧🇷
CPI Transport
6,671.62 points6,582.1 pointsMonthly
🇧🇷
Export Prices
121.8 points123.34 pointsMonthly
🇧🇷
Food Inflation
4.15 %4.71 %Monthly
🇧🇷
GDP Deflator
4.7 %8.6 %Annually
🇧🇷
IGP-M Inflation MoM
0.81 %0.89 %Monthly
🇧🇷
Import Prices
105.43 points107.6 pointsMonthly
🇧🇷
Inflation Rate
3.93 %3.69 %Monthly
🇧🇷
Inflation Rate MoM
0.38 %0.21 %Monthly
🇧🇷
Mid-Month Inflation Rate MoM
0.3 %0.39 %Monthly
🇧🇷
Mid-Month Inflation Rate YoY
4.45 %4.06 %Monthly
🇧🇷
Producer Price Change
4.19 %0.07 %Monthly
🇧🇷
Producer Price Inflation MoM
1.28 %0.36 %Monthly
🇧🇷
Producer prices
162.18 points160.128 pointsMonthly

In Brazil, the IPC-Fipe Inflation MoM measures month-on-month inflation within the boundaries of the city of São Paulo and does not include prices in the wider metropolitan area. Economists regard the FIPE index as an early indicator of Brazil's benchmark IPCA inflation index, which the central bank considers when setting interest rates. The Consumer Prices Index for the City of São Paulo is the most traditional indicator of the cost of living evolution for families in São Paulo city and is one of the oldest indicators in Brazil. It was first calculated in January 1939 by the Statistics and Documentation Division of the São Paulo City Government. In 1968, the responsibility for calculating the index was transferred to the Institute of Economic Research, linked to the Economics Department of USP, and later to Fipe after its establishment in 1973.

What is IPC-Fipe Inflation Month-over-Month (MoM)?

The IPC-Fipe Inflation MoM is an indispensable measure within the broader domain of macroeconomic analysis, providing deep insights into the month-over-month (MoM) variations in the consumer price index (CPI) as calculated by the Fundação Instituto de Pesquisas Econômicas (Fipe). As a professional platform dedicated to delivering accurate and comprehensive macroeconomic data, Eulerpool recognizes the importance of this inflation metric in informing economic strategies, investment decisions, and policy formulation. Inflation, as captured by CPI, denotes the rate at which the general level of prices for goods and services rises, subsequently eroding purchasing power. The IPC-Fipe Inflation MoM specifically measures these changes within a monthly frame, offering a granular view of inflationary trends as they unfold over shorter periods. This metric is particularly vital for economists, policymakers, investors, and financial analysts who seek to understand the immediate dynamics of price fluctuations in Brazil's economic environment. The Fundação Instituto de Pesquisas Econômicas (Fipe) is a highly respected research institute in Brazil, renowned for its rigorous methodological approaches to economic data collection and analysis. The IPC-Fipe is one of the institute’s flagship indices, widely regarded as a credible barometer for assessing inflationary pressures in São Paulo, the country's most significant financial hub. The MoM variation of the IPC-Fipe thus reflects the subtle shifts in consumer prices that can signal broader economic trends or pinpoint specific sectors experiencing price volatility. Assessing the IPC-Fipe Inflation MoM involves a robust statistical process where data on the prices of a representative basket of goods and services is meticulously collected from various outlets across São Paulo. This basket includes categories such as food and beverages, housing, clothing, transportation, healthcare, and education, among others. By examining the percentage change in the index from one month to the next, stakeholders can discern whether price levels are accelerating or decelerating, offering a proximate gauge of inflationary momentum. Periodic fluctuations in the IPC-Fipe Inflation MoM can result from a host of factors, including supply chain disruptions, changes in consumer demand, seasonal variations, currency fluctuations, and economic policies. For instance, a spike in IPC-Fipe Inflation MoM may indicate supply constraints or higher import costs due to currency depreciation, while a decline might suggest weakened demand or policy interventions aimed at controlling price growth. Thus, interpreting these monthly movements requires a contextual understanding of both domestic and international economic landscapes. For investors, the IPC-Fipe Inflation MoM presents critical implications. Persistent monthly increases in consumer prices might erode real returns on investments and reduce the purchasing power of fixed-income streams. Consequently, investors often monitor this index to adjust their portfolios in favor of assets that traditionally perform well during inflationary periods, such as commodities, real estate, or inflation-protected securities. Conversely, a lower than expected MoM inflation could signal prolonged economic stagnation, prompting a reevaluation towards more growth-oriented or risk-tolerant assets. From a policy perspective, central banks and government agencies closely monitor IPC-Fipe Inflation MoM data to make informed decisions that regulate economic stability. Central banks, for instance, might adjust interest rates to either curb excessive inflation or stimulate growth in a deflationary environment. For fiscal policymakers, understanding this inflation metric can inform budgetary decisions, social spending programs, and tax policies that aim to stabilize the economy and safeguard the public’s purchasing power. In the broader macroeconomic context, the IPC-Fipe Inflation MoM offers an early indicator of inflationary trends before they are reflected in annual statistics. This near-immediate reflection of price changes allows for proactive adjustments and timely interventions, mitigating the risks of unchecked inflation that might spiral into hyperinflation or, conversely, fighting the risks of deflation that could lead to economic downturns. At Eulerpool, we understand that timely access to accurate and detailed macroeconomic data is the cornerstone of effective decision-making. Our platform ensures that the latest IPC-Fipe Inflation MoM data is readily available to our users, supported by analytical tools and historical context that enhance the utility and interpretation of the information. By facilitating a deeper understanding of monthly inflation dynamics, we enable our clients to navigate the economic landscape with greater foresight and precision. In conclusion, the IPC-Fipe Inflation MoM is a pivotal indicator within the realm of macroeconomic analysis, reflecting the immediate changes in consumer prices that have widespread implications across financial markets, policy decisions, and economic strategies. Its detailed examination offers valuable insights into the short-term inflationary climate of São Paulo, serving as a critical tool for stakeholders seeking to make informed decisions in response to evolving economic conditions. Eulerpool is committed to providing this high-caliber data, empowering our users with the knowledge needed to thrive in an ever-changing economic landscape.