Italy and the United Kingdom were the two countries in which the highest share of respondents were of the opinion that their leaders should do more to combat inflation following the rising inflation rates worldwide in 2022. In these countries, ********** of the respondents thought that their leaders were not doing enough as of **************. Except for China, a majority in all the countries where the survey was conducted thought that their leaders were not doing enough.

Of the major developed and emerging economies, China had the lowest inflation rate at *** percent in December 2024. On the other end of the spectrum, the inflation rate in Russia stood at nearly ** percent. The country's inflation rate increased sharply after the country's President, Vladimir Putin, decided to invade Ukraine, declined somewhat in 2023, before increasing slowly again since. The rate of inflation reflects changes in the cost of a specified basket containing a representative selection of goods and services. It is derived from the consumer price index (CPI).

According to a survey conducted in June 2023, due to high inflation 55 people of French people said they had often looked for reduced prices when going grocery shopping, while a further 33 percent were often going to discount stores. Moreover, 31 percent of the surveyed admitted they sometimes refrained from buying meat, while 27 percent said they were not heating their house even when it was cold.

Inflation Rate in the United States increased to 2.70 percent in June from 2.40 percent in May of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In May 2025, global inflation rates and central bank interest rates showed significant variation across major economies. Most economies initiated interest rate cuts from mid-2024 due to declining inflationary pressures. The U.S., UK, and EU central banks followed a consistent pattern of regular rate reductions throughout late 2024. In early 2025, Russia maintained the highest interest rate at 20 percent, while Japan retained the lowest at 0.5 percent. Varied inflation rates across major economies The inflation landscape varies considerably among major economies. China had the lowest inflation rate at -0.1 percent in May 2025. In contrast, Russia maintained a high inflation rate of 9.9 percent. These figures align with broader trends observed in early 2025, where China had the lowest inflation rate among major developed and emerging economies, while Russia's rate remained the highest. Central bank responses and economic indicators Central banks globally implemented aggressive rate hikes throughout 2022-23 to combat inflation. The European Central Bank exemplified this trend, raising rates from 0 percent in January 2022 to 4.5 percent by September 2023. A coordinated shift among major central banks began in mid-2024, with the ECB, Bank of England, and Federal Reserve initiating rate cuts, with forecasts suggesting further cuts through 2025 and 2026.

The enduring discourse regarding the effectiveness of interest rate policy in mitigating inflation within developing economies is characterized by the interplay of structural and supply-side determinants. Moreover, extant academic literature fails to resolve the direction of causality between inflation and interest rates. Nevertheless, the prevalent adoption of interest rate-based monetary policies in numerous developing economies raises a fundamental inquiry: What motivates central banks in these nations to consistently espouse this strategy? To address this inquiry, our study leverages wavelet transformation to dissect interest rate and inflation data across a spectrum of frequency scales. This innovative methodology paves the way for a meticulous exploration of the intricate causal interplay between these pivotal macroeconomic variables for twenty-two developing economies using monthly data from 1992 to 2022. Traditional literature on causality tends to focus on short- and long-run timescales, yet our study posits that numerous uncharted time and frequency scales exist between these extremes. These intermediate scales may wield substantial influence over the causal relationship and its direction. Our research thus extends the boundaries of existing causality literature and presents fresh insights into the complexities of monetary policy in developing economies. Traditional wisdom suggests that central banks should raise interest rates to combat inflation. However, our study uncovers a contrasting reality in developing economies. It demonstrates a positive causal link between the policy rate and inflation, where an increase in the central bank’s interest rates leads to an upsurge in price levels. Paradoxically, in response to escalating prices, the central bank continues to heighten the policy rate, thereby perpetuating this cyclical pattern. Given this observed positive causal relationship in developing economies, central banks must explore structural and supply-side factors to break this cycle and regain control over inflation.

Explanation of CPI and the Dataset:

What is CPI?

CPI (Consumer Price Index) measures the average change in prices over time that consumers pay for a basket of goods and services. It is a key indicator of inflation and is used by governments and central banks to monitor price stability and for inflation targeting. Components: The construction of CPI involves two main components: Weighting Diagrams: These represent the consumption patterns of households. Price Data: This is collected at regular intervals to track changes in prices.

Role of the Central Statistics Office (CSO):

The CSO, under the Ministry of Statistics and Programme Implementation, is responsible for releasing CPI data. The indices are released for Rural, Urban, and Combined sectors for all-India and individual States/UTs.

Dataset Alignment:

Sectors: The dataset includes a "Sector" column that categorizes data into "Rural," "Urban," and "Rural+Urban," aligning with the CPI data released by the CSO. Time Period: The "Year" and "Name" (which appears to represent months) columns in the dataset track the data over time, consistent with the monthly release schedule by the CSO starting from January 2011. State/UT Data: Each column corresponding to a state or union territory likely represents the CPI values for that region. The numeric values under each state/UT column represent the CPI index values, with a base of 2010=100. Purpose: This data can be used to analyze inflation trends, price stability, and the impact on economic policies, such as adjustments to dearness allowance for employees. Practical Use of This Data: Inflation Analysis: By examining the changes in CPI values across different states, analysts can study regional inflation trends and compare them to the national average. Policy Making: Governments and central banks can use this data to design and adjust policies aimed at controlling inflation, targeting specific regions or sectors that are experiencing higher inflation. Wage Indexation: Companies and governments can use CPI data to adjust wages and allowances in line with inflation, ensuring that purchasing power is maintained.

Brazil Approval by Government Area: Fight Against Inflation: Disapproves data was reported at 45.000 % in Mar 2019. This records a decrease from the previous number of 86.000 % for Sep 2018. Brazil Approval by Government Area: Fight Against Inflation: Disapproves data is updated quarterly, averaging 68.500 % from Dec 2010 (Median) to Mar 2019, with 32 observations. The data reached an all-time high of 86.000 % in Sep 2018 and a record low of 42.000 % in Dec 2010. Brazil Approval by Government Area: Fight Against Inflation: Disapproves data remains active status in CEIC and is reported by National Confederation of Industry. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SM004: Approval by Government Area.

The Question “Why unemployment?” is one of the most central topics of economic theory since the great depression. Unemployment remains one of the most important problems of economic policies in industrial countries. Unemployment has different causes and therefore also different countermeasures are required. “Together with the destruction of environment unemployment and inflation are in the focus of economic and political discussions on macroeconomic problems and are considered as the greatest challenges of economic policy. Depending on the level of unemployment there is a higher focus on inflation or on unemployment, if both are on an alarming level at the same time they are in the shot simultaneously. In anyway both issues need to be analyzed together because they are not independent from each other. Experiences from the recent years have shown that combating inflation leads to an increase in unemployment, at least temporarily but probably also permanently. The other way around; combating unemployment may under certain circumstances also lead to an increase in inflation… Unemployment and inflation are macroeconomic problems. The level of both undesirable developments is determined by the relations in the entire economy. Therefor it is necessary to use macroeconomic theory which deals the general economic context for the analysis. Both problems are enhanced by structural factors which also need to be analyzed. In contrast to microeconomic theory which focuses on different individual decision makers, in macroeconomic theory decision makers and decisions are summarized in macroeconomic aggregates. The common procedure is to summarize decision makers into aggregates like “private households”, “enterprises” and “the state” and the decision makers concerning the use of income into “private consumption”, “investments” and “public expenditure” (Kromphardt, Jürgen, 1998: Arbeitslosigkeit und Inflation (unemployment and inflation). 2., newly revised A. Göttingen: Vandenhoeck & Ruprecht, p. 17-18). Macroeconomic approaches on the explanation of unemployment and inflation are highly controversial in economic theory. Therefore the author starts with the attempt to present different explanations for unemployment and inflation from different macroeconomic positions. There are different unemployment: classical unemployment (reason: real wages to high), Keynesian unemployment (reason: demand for goods to low), unemployment due to a lack of working places (reason: capital stock to low). These positions give conflicting explanations and recommendations because they are based on different perceptions of the starting position. Therefor the author confronts central positions with empirical data on the macro level with the following restriction: “It is impossible to prove theories as correct (to verify). This is a reason for the fact that macroeconomic controversies do not come to a conclusion but are continued in a modified way. Furthermore economic statements in this field always affect social and political interests as all economic policies favor or put as a disadvantage interests of distinct social groups in a different way.“ (Kromphardt, a.a.O., S. 20).

Data tables in HISTAT (1) Development of employment: Presented by the development of annual average unemployment rates and the balance of labor force of the institute for labor market and occupation research (IAB, Nuremberg) after the domestic concept(employment with Germany as the place of work) For characterizing the overall economic developments, those values are used which play an important role in the reports of the German central bank: (2) Inflation: Rate of differences in the price index for costs of living compared to the previous year (3) Currency reserves of German federal banks and the German central bank: measure for foreign economic situation and the payment balance of the central bank (4) Development of economic growth: Presented by the nominal and real growth rate of the GDP (5) Inflation rate of the GDP, money supply, growth rate of the price index of the GDP (6) Labor productivity (= GDP per employee, domestic concept) (7) Real wage per employee (8) Exchange rate: DM/$ (monthly averages) (9) Growth of DGP, productivity, economically active population, real incomes, unemployment rate and adjusted wages (10) Time series connected with labor demand (11) GDP, labor volume, employees, working hours and labor productivity (12) Employee compensation, wages and ...

Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2024 about consumer, CPI, inflation, price index, indexes, price, and USA.

In 2023, due to the rising prices of some products and services in recent months in Poland, 82 percent of people bought less and looked for cheaper products during daily shopping. Moreover, around 67 percent of Poles gave up higher expenses to put them off for later.

Inflation Rate in Vietnam increased to 3.57 percent in June from 3.24 percent in May of 2025. This dataset provides the latest reported value for - Vietnam Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Producer Price Index by Industry: Other Measuring and Controlling Device Manufacturing (PCU334519334519) from Jun 1985 to Jun 2025 about manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

Inflation Rate in Indonesia increased to 1.87 percent in June from 1.60 percent in May of 2025. This dataset provides - Indonesia Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Brazil's inflation rate and central bank interest rate have experienced significant fluctuations from 2018 to 2025, reflecting broader global economic trends. The country's inflation peaked at ***** percent in April 2020, followed by a gradual decline and subsequent rise, while the central bank adjusted its Selic rate in response to these economic dynamics. This pattern of volatility and monetary policy adjustments mirrors similar experiences in other major economies during the same period. Global context of inflation and interest rates Brazil's economic indicators align with the global trend of rising inflation and subsequent central bank responses observed in many countries. Like Brazil, other major economies such as the United States, United Kingdom, and European Union implemented aggressive rate hikes throughout 2022-2023 to combat inflationary pressures. However, a coordinated shift began in mid-2024, with many central banks initiating rate cuts. This global trend is reflected in Brazil's monetary policy decisions, as the country began reducing its Selic rate in August 2023 after maintaining it at ***** percent for several months. Comparison with other economies While Brazil's inflation rate reached **** percent in April 2025, other major economies exhibited varying levels of inflationary pressure. For instance, China reported a deflationary rate of **** percent, while Russia maintained a high inflation rate of **** percent during the same period. The United Kingdom, which experienced similar volatility in its inflation rate, saw it peak at *** percent in October 2022 before moderating to *** percent by September 2024. These comparisons highlight the diverse economic conditions and policy responses across different countries, with Brazil's experience falling somewhere in the middle of this spectrum.

Brazil Approval by Government Area: Fight Against Inflation: Don't Know or Number Answer data was reported at 8.000 % in Mar 2019. This records an increase from the previous number of 3.000 % for Sep 2018. Brazil Approval by Government Area: Fight Against Inflation: Don't Know or Number Answer data is updated quarterly, averaging 5.000 % from Dec 2010 (Median) to Mar 2019, with 32 observations. The data reached an all-time high of 10.000 % in Dec 2010 and a record low of 3.000 % in Sep 2018. Brazil Approval by Government Area: Fight Against Inflation: Don't Know or Number Answer data remains active status in CEIC and is reported by National Confederation of Industry. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SM004: Approval by Government Area.

Inflation Rate in Turkey decreased to 35.05 percent in June from 35.41 percent in May of 2025. This dataset provides the latest reported value for - Turkey Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Brazil Approval by Government Area: Fight Against Inflation: Approves data was reported at 47.000 % in Mar 2019. This records an increase from the previous number of 11.000 % for Sep 2018. Brazil Approval by Government Area: Fight Against Inflation: Approves data is updated quarterly, averaging 26.000 % from Dec 2010 (Median) to Mar 2019, with 32 observations. The data reached an all-time high of 50.000 % in Jun 2012 and a record low of 11.000 % in Sep 2018. Brazil Approval by Government Area: Fight Against Inflation: Approves data remains active status in CEIC and is reported by National Confederation of Industry. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SM004: Approval by Government Area.

This data package includes the underlying data files to replicate the data and charts presented in Industrial policy for electric vehicle supply chains and the US-EU fight over the Inflation Reduction Act, PIIE Working Paper 23-1.

If you use the data, please cite as: Bown, Chad P. (2023). Industrial policy for electric vehicle supply chains and the US-EU fight over the Inflation Reduction Act, PIIE Working Paper 23-1. Peterson Institute for International Economics.

Inflation Rate in Brazil increased to 5.35 percent in June from 5.32 percent in May of 2025. This dataset provides - Brazil Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.