Core consumer prices in the United States increased 2.90 percent in June of 2025 over the same month in the previous year. This dataset provides - United States Core Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

The UK inflation rate was 3.4 percent in May 2025, down from 3.5 percent in the previous month, and the fastest rate of inflation since February 2024. Between September 2022 and March 2023, the UK experienced seven months of double-digit inflation, which peaked at 11.1 percent in October 2022. Due to this long period of high inflation, UK consumer prices have increased by over 20 percent in the last three years. As of the most recent month, prices were rising fastest in the communications sector, at 6.1 percent, but were falling in both the furniture and transport sectors, at -0.3 percent and -0.6 percent respectively.
The Cost of Living Crisis High inflation is one of the main factors behind the ongoing Cost of Living Crisis in the UK, which, despite subsiding somewhat in 2024, is still impacting households going into 2025. In December 2024, for example, 56 percent of UK households reported their cost of living was increasing compared with the previous month, up from 45 percent in July, but far lower than at the height of the crisis in 2022. After global energy prices spiraled that year, the UK's energy price cap increased substantially. The cap, which limits what suppliers can charge consumers, reached 3,549 British pounds per year in October 2022, compared with 1,277 pounds a year earlier. Along with soaring food costs, high-energy bills have hit UK households hard, especially lower income ones that spend more of their earnings on housing costs. As a result of these factors, UK households experienced their biggest fall in living standards in decades in 2022/23. Global inflation crisis causes rapid surge in prices The UK's high inflation, and cost of living crisis in 2022 had its origins in the COVID-19 pandemic. Following the initial waves of the virus, global supply chains struggled to meet the renewed demand for goods and services. Food and energy prices, which were already high, increased further in 2022. Russia's invasion of Ukraine in February 2022 brought an end to the era of cheap gas flowing to European markets from Russia. The war also disrupted global food markets, as both Russia and Ukraine are major exporters of cereal crops. As a result of these factors, inflation surged across Europe and in other parts of the world, but typically declined in 2023, and approached more usual levels by 2024.

Inflation Rate in India decreased to 2.10 percent in June from 2.82 percent in May of 2025. This dataset provides - India Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In January 2025, the unadjusted consumer price index (CPI) of all items for urban consumers in the United States amounted to about 317.67. The data represents U.S. city averages. The base period was 1982-84=100. The CPI is defined by the United States Bureau of Labor Statistics as “a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services”. The annual consumer price index for urban consumers in the U.S. can be accessed here. Consumer Price Index The Consumer Price Index (CPI) began in 1919 under the Bureau of Labor Statistics and is published every month. The CPI for all urban consumers includes urban households in Metropolitan Statistical Areas and regions with over 2,500 inhabitants, as well as non-farm consumers living in rural regions. This index was established in 1978 and includes about 80 percent of the U.S. population. The monthly CPI of urban consumers in the United States increased from 292.3 in May 2022 to 304.13 in 2023. Inflation tends not to impact everyone equally for a variety of reasons, including geography - CPI often differs between regions, with a high of 287.49 in the Western region as of 2021. There are also disparities in inflation between income quartiles, in which inflation is generally felt more heavily by lower income households. The annual CPI in the United States has increased steadily over the past two decades, from 140.3 in 1992 to 292.56 in 2022. A forecast of the CPI expects this positive trend to continue, reaching 325.6 by 2027. As of March 2023, the CPI of the nation’s education had increased by 3.5 percent. Further, in the same month costs of recreation, rent, housing, medical care, and food and beverages, gasoline, and transportation increased. Comparatively, the CPI in Hong Kong reached 103.3 in 2022.

Consumer Price Index CPI in the United States increased to 322.56 points in June from 321.46 points in May of 2025. This dataset provides the latest reported value for - United States Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In August 2024, the global consumer price index, excluding the United States, stood at *****, compared to ***** for the U.S. The data for the world and emerging economies are distorted by hyperinflation in Venezuela and may not accurately reflect the inflation rate of other countries. However, Russia's war in Ukraine caused a surge in prices globally through 2022 and 2023. The headline consumer price index tracks the changes in the price level of a basket of goods and services purchased by households. Economic challenges in Argentina While CPI increases have been significant globally, certain economies have experienced more dramatic increases than others. Argentina is a notable case of these increases, as the CPI has increased more than *** percent between 2020 and 2023. Currently, most of the Argentinian public considers inflation and low wages to be the biggest challenges facing the country. Consumer responses to price increases Globally, consumers are coping with price increases in many ways. In a May 2023 survey, ** percent respondents from over 14 countries indicated they were more conscious about prices than previously. In another survey from earlier that year, over ** percent of respondents indicated they were most concerned about inflation and had changed their consumption habits as a result.

The tables presented in this file are a supplement to the article “CBS switches to new method for calculating energy prices in the CPI”, published on 30 June 2023. The article presents the results of the research carried out by Statistics Netherlands (CBS) in order to develop new energy prices for the Consumer price index (CPI).

This statistic shows the average inflation rate in Indonesia from 1987 to 2024, with projections up until 2030. In 2024, the average inflation rate in Indonesia amounted to about 2.3 percent compared to the previous year. The global financial crisis and economic consequences The global economy underwent a drastic slump due to the global financial crisis in 2008, which caused a continued increase in the general level of prices of goods and services; the highest recorded global inflation of the past decade took place in 2008, when the global inflation rate increased by more than 6.4 percent in comparison with the previous year. As for Indonesia, the country's inflation rate amounted to around 9.8 percent in comparison to the previous year. The financial crisis also impacted the global unemployment rate. In 2009, the global unemployment rate jumped to around 6.2 percent, and it is not expected to recover to pre-crisis levels anytime soon. The financial crisis impact on the Indonesian economy was slightly more severe: In 2008, the unemployment rate in Indonesia was around 8.4 percent, much higher than the global unemployment rate for the same year. It has, however, now decreased significantly, even though it is still not below the global level, the country itself has reached lower levels than before the crisis. After the financial crisis, the Indonesian government implemented several economic reforms and increased exports in order to strengthen the economy. In 2011, Indonesia exported goods with a value of more than 200 billion U.S. dollars. The main export partners of Indonesia are Japan, China and Singapore. As a result of increased exports, the Indonesian economy was able to grow, making Indonesia one of the twenty nations in the world with the largest gross domestic product in 2015.

In 2019, the average inflation rate in Thailand amounted to about 0.71 percent compared to the previous year, when it was just recovering from a slump below the 0-percent-mark in 2015.

Political turmoil begets economic turmoil

In 2014, after a coup d’etat following months of political crisis, the Thai military took over the country, and the senate and government were dissolved. As a result, Thailand’s economy experienced a sudden downturn, GDP growth and inflation slumped, while unemployment, which is usually delayed in reflecting economic struggles, has been increasing ever since.

Services help stabilization

Apart from the struggles in recent years, Thailand’s economy as a whole is quite stable. Its main GDP generator is the services sector , which includes tourism and telecommunications, and which has shown a stable real GDP growth for the past few years. The new military government also wants to boost the economy further by focusing on high-tech industries and services, with the goal of making Thailand a high-income nation with an economic focus on innovation and growth.

Key information about US Consumer Price Index CPI growth

• US Consumer Price Index (CPI) growth was measured at 2.8 % YoY in Feb 2025, compared with a rate of 3.0 % in the previous month.
• US Consumer Price Index growth data is updated monthly, available from Jan 1948 to Feb 2025, with an averaged number of 2.9 % YoY.
• The data reached an all-time high of 14.6 % YoY in Mar 1980 and a record low of -3.0 % YoY in Aug 1949.

Inflation Rate in China increased to 0.10 percent in June from -0.10 percent in May of 2025. This dataset provides - China Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This study examined the relationship between debt servicing and foreign exchange rate unification in Nigeria from 1995 to 2023, hypothesizing that a unified exchange rate policy would significantly impact the country's debt service-to-revenue ratio. Using annual time series data from sources such as the International Monetary Fund and World Development Indicators, the study employed an Autoregressive Distributed Lag (ARDL) model to analyze the relationship between the debt service-to-revenue ratio and factors including the official foreign exchange rate, GDP growth rate, inflation rate, and oil prices. The findings revealed several notable insights. Exchange rate unification was found to have a significant negative effect on the debt service-to-revenue ratio, suggesting that a unified exchange rate policy could help reduce Nigeria's debt service burden. Both current and lagged inflation rates showed a significant negative impact on the debt service-to-revenue ratio, indicating that higher inflation might be eroding the real value of debt or increasing nominal revenues faster than debt servicing costs. Lagged exchange rates were found to negatively affect the debt service-to-revenue ratio, implying that higher exchange rates in the previous period decrease the current ratio. Oil prices demonstrated mixed effects, with current prices positively impacting the debt service-to-revenue ratio while lagged prices had a negative effect. The study also revealed strong persistence in debt servicing behavior over time, as evidenced by the significant positive correlation between current and previous year's debt service ratios. These results offer significant implications for policymakers. The negative effect of exchange rate unification on the debt service-to-revenue ratio suggests that such a policy could improve efficiency in forex markets and reduce arbitrage opportunities, ultimately helping to reduce the debt service burden. The negative relationship between inflation and the debt service-to-revenue ratio indicates that higher inflation might be beneficial for debt servicing in the short term, though this should be interpreted cautiously given the potential negative consequences of high inflation. The mixed impact of oil prices reflects the complexity of Nigeria's oil-dependent economy, highlighting the need for economic diversification. The strong persistence in debt servicing commitments points to potential structural issues in debt management or lack of fiscal flexibility. Policymakers can use these findings to inform strategies for managing Nigeria's debt burden. The results suggest that pursuing exchange rate unification, carefully managing inflation, diversifying the economy to reduce oil dependence, and improving fiscal discipline could all contribute to better management of debt servicing costs. However, it's crucial to consider the lagged effects of economic variables on debt servicing when formulating long-term fiscal strategies.

Gross Domestic Product (GDP) is one of the best known indicators of economic activity and is widely used to monitor economic performance. GDP statistics for Scotland are produced by the Scottish Government and have been designated as National Statistics. This dataset contains statistics for the output approach to GDP and growth in real terms, and includes results for the whole economy (Total GDP) and industry sectors. GDP can also be broken down using the income and expenditure approaches, which are available as separate datasets. There are two updates to the output by industry statistics each quarter. The First Estimate of GDP growth is published around 80 days after the quarter’s end, and an updated second estimate is published in the Quarterly National Accounts around 120 days after the quarter’s end. The First Estimate of GDP statistics will be published on this website as open data; the Second Estimate will not currently be available as open data, but will be available on the Scottish Government website. Results for previous periods are also open to revision each quarter. Further details on Scottish GDP statistics, including methodology notes and the revisions policy, are available. The Industry Sector dimension in this dataset contains the broad industry sectors used on GDP statistics for Scotland the UK. These are based on industry sections from the Standard Industrial Classification (SIC, 2007). Further information can be found here The Measure Type dimension in this dataset contains four GDP measures, detailed below. The index measure is rounded to 4 decimal places and the growth rate measures are rounded to 1 decimal place. It is not always possible to replicate the published growth rates using rounded data, but all results are also available unrounded in the downloadable spreadsheets from the latest publication. • 4Q-on-4Q is the percentage change (growth rate) for the latest four quarters compared to the previous four non-overlapping quarters. This rolling annual growth rate gives a smoothed measure of recent trends. This growth rate is calculated from the Index measure. • Index represents the level of output in real, or volume, terms for each industry or total GDP, relative to the base year (2019). An index value of more than 100 means that output is higher than in the base year, and a value of less than 100 means that output is lower than in the base year. • q-on-q is the percentage change (growth rate) for the latest quarter compared to the previous quarter. This quarterly growth rate is usually taken as the headline measure of GDP growth. This growth rate is calculated from the Index measure. • q-on-q year ago is the percentage change (growth rate) for the latest quarter compared to the same quarter in the previous year. This growth rate over the year is usually compared to other statistics such as earnings or price inflation. This growth rate is calculated from the Index measure. The Reference Period dimension relates to standard calendar quarters. Quarter 1 refers to the period from January to March, Quarter 2 refers to April to June, Quarter 3 refers to July to September, and Quarter 4 refers to October to December. The Reference Area dimension for this dataset only contains results for Scotland, with no breakdowns to other areas. In this dataset, all results relate to Scotland’s onshore economy and do not include the output of offshore oil and gas extraction in Scottish Adjacent Waters. Each industry sector is indexed to make them comparable. For each sector, the value during 2019 is taken as the base year, and given the value of 100. All indexed values are chainlinked volume measures, and given relative to the base year.

The ECB updated its monetary policy strategy for the first time in 18 years in July 2021. Therein, the ECB announced that it is willing to accept a transitory period of moderate inflation overshoot in its efforts to push inflation upwards after a long period of undershooting its target. This study explores whether such an overshoot can be economically justified employing a simple Phillips curve model. The results point to the conclusion that the average inflation rate over the business cycle consolidated about one percentage point below the ECB’s target rate. A temporary asymmetry of the ECB’s monetary strategy seems therefore justified to realign inflation and inflation expectations with the target rate.

Economic welfare is essential in the modern economy since it directly reflects the standard of living, distribution of resources, and general social satisfaction, which influences individual and social well-being. This study aims to explore the relationship between national income accounting different attributes and the economic welfare in Pakistan. However, this study used data from 1950 to 2022, and data was downloaded from the World Bank data portal. Regression analysis is used to investigate the relationship between them and is very effective in measuring the relationship between endogenous and exogenous variables. Moreover, generalized methods of movement (GMM) are used as the robustness of the regression. Our results show that foreign direct investment outflow, Gross domestic product growth rate, GDP per capita, higher Interest, market capitalization, and population growth have a significant negative on the unemployment rate, indicating the rise in these factors leads to a decrease in the employment rate in Pakistan. Trade and savings have a significant positive impact on the unemployment rate, indicating the rise in these factors leads to an increase in the unemployment rate for various reasons. Moreover, all the factors of national income accounting have a significant positive relationship with life expectancy, indicating that an increase in these factors leads to an increase in economic welfare and life expectancy due to better health facilities, many resources, and correct economic policies. However, foreign direct investment, inflation rate, lending interest rate, and population growth have significant positive effects on age dependency, indicating these factors increase the age dependency. Moreover, GDP growth and GDP per capita negatively impact age dependency. Similarly, all the national income accounting factors have a significant negative relationship with legal rights that leads to decreased legal rights. Moreover, due to better health facilities and health planning, there is a negative significant relationship between national income accounting attributes and motility rate among children. Our study advocated the implications for the policymakers and the government to make policies for the welfare and increase the social factors.

These codes help to replicate all the empirical analysis in the article: “What explains monetary policy rate uncertainty? Evidence from the Americas”, Applied Economics Letters (revise and resubmit), authored by Ana Aguilar, Carlos Madeira, Alejandro Parada, Christian Upper (Bank for International Settlements).

The Stata codes use Consensus Economics monthly survey reports with forecasts for countries in the Americas. These forecasts were collected as a Stata dataset, but the files cannot be shared due to copyright concerns. Future users must collect their own Consensus Forecasts data and then use these codes to replicate the empirical analysis of the article.

The data also includes an online appendix with robustness exercises to the main article. These robustness exercises estimate the same uncertainty models, but without the past quarter's inflation rate and GDP growth as additional controls. The results are qualitatively similar to the main article.

This data is used for article of macroeconomic of some Asian countries in long period which explained about four Asian countries, such as Indonesia, Malaysia, Singapore, and South Korea. This data has taken from World Bank Development Indicators (WDI) database and is formed by Vector Auto Regression (VAR) model, then empirical result is executed by Granger causality model on E-views 11 program to gauge the relationship between gross domestic product, exchange rate, inflation rate, foreign direct investment, net export, government expenditures, unemployment rate, and savings. The results showed that most of gross domestic product of sample and other macro-economy variables have not causality relationship.

Abstract This study investigates how the supply shocks, originated by commodity prices, have impacted on the Brazilian inflation, the way, and how efficiently monetary policy of the country has reacted. To this purpose, a semi-structural model containing a Phillips curve, an IS curve, and two versions of the Central Bank's reaction function were estimated. The method of estimation used was the autoregression with Vector Error Correction (VEC) in its structural version. The results suggest that the Brazilian inflation rate has an important index component, but it is also affected by the expectation that the market shows about the inflation, and by the price behavior on the supply side. They both have some impact on inflation expectations.

Abstract This study evaluates the inflation forecasts produced by Phillips curve models with and without ARMA modeling of their errors, considering a sample that contains developed and developing countries. The aim of this study is to provide empirical evidence that this simple reformulation of the Phillips curve can serve as a benchmark for studies that propose econometric or time series models more elaborated to predict the rate of inflation. The results show that the use of ARMA components in the Phillips curve decrease considerably its mean square error of forecast for all countries in the sample.