Inflation rates experienced by different groups of consumers within a country vary. This is because the prices of goods and services and the expenditure patterns of consumers differ. The published inflation rate is used for important decisions regarding the preservation of consumer purchasing power. These include the adjustment of social grants and minimum wages by government and the benchmarking of returns by investors when making investment decisions. It is thus vital that inflation is measured accurately to ensure the purchasing power of consumers is preserved. Current measures of inflation published by Stats SA are applicable to typical consumers and are not relevant to each individual. This resource supplements a study that seeks to provide a publicly available model that can be used by consumers to calculate their personal rate of inflation.

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).

In 2024, the consumer price index (CPI) was 315.61. Data represents U.S. city averages. The monthly inflation rate for the United States can be found here. United States urban Consumer Price Index (CPI) The U.S. Consumer Price Index is a measure of change in the price of consumer goods and services purchased by households. 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." To calculate the CPI, the Bureau of Labor Statistics considers the price of goods and services from various categories: housing, transportation, apparel, food & beverage, medical care, recreation, education and other/uncategorized. The CPI is a useful measure, as it indicates how the cost of urban living in the United States has changed over time, compared to a base period. CPI is also used to calculate inflation, or change in the purchasing power of money. According to the U.S. Bureau of Labor Statistics, the U.S. urban CPI has been rising steadily since 1992. As of 2023, the CPI was 304.7, up from 233 ten years earlier and up from 184 twenty years earlier. This indicates the extent to which, compared to a base period 1982-1984 = 100, the price of various goods and services has risen.

In 2024, the average annual inflation rate in China ranged at around 0.2 percent compared to the previous year. For 2025, projections by the IMF expect slightly negative inflation. The monthly inflation rate in China dropped to negative values in the first quarter of 2025. Calculation of inflation The inflation rate is calculated based on the Consumer Price Index (CPI) for China. The CPI is computed using a product basket that contains a predefined range of products and services on which the average consumer spends money throughout the year. Included are expenses for groceries, clothes, rent, power, telecommunications, recreational activities, and raw materials (e.g. gas, oil), as well as federal fees and taxes. The product basked is adjusted every five years to reflect changes in consumer preference and has been updated in 2020 for the last time. The inflation rate is then calculated using changes in the CPI. As the inflation of a country is seen as a key economic indicator, it is frequently used for international comparison. China's inflation in comparison Among the main industrialized and emerging economies worldwide, China displayed comparatively low inflation in 2023 and 2024. In previous years, China's inflation ranged marginally above the inflation rates of established industrialized powerhouses such as the United States or the European Union. However, this changed in 2021, as inflation rates in developed countries rose quickly, while prices in China only increased moderately. According to IMF estimates for 2024, Zimbabwe was expected to be the country with the highest inflation rate, with a consumer price increase of about 561 percent compared to 2023. In 2023, Turkmenistan had the lowest price increase worldwide with prices actually decreasing by about 1.7 percent.

India inflation rate for 2024 was 4.95%, a 0.7% decline from 2023.

<ul style='margin-top:20px;'>

<li>India inflation rate for 2023 was <strong>5.65%</strong>, a <strong>1.05% decline</strong> from 2022.</li>
<li>India inflation rate for 2022 was <strong>6.70%</strong>, a <strong>1.57% increase</strong> from 2021.</li>
<li>India inflation rate for 2021 was <strong>5.13%</strong>, a <strong>1.49% decline</strong> from 2020.</li>
</ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.

The inflation rate for the Retail Price Index (RPI) in the United Kingdom was 4.3 percent in May 2025, down from 4.5 percent in the previous month. From 2021 onwards, prices in the UK rose rapidly, with the RPI inflation rate peaking at 14.2 percent in October 2022. Although inflation fell in subsequent months, it wasn't until July 2023 that inflation fell below double digits, and as of late 2024, the RPI rate was still above three percent. The CPI and CPIH While the retail price index is still a popular method of calculating inflation, the consumer price index (CPI) is the current main measurement of inflation in the UK. There is also an additional price index, which includes some extra housing costs, known as the Consumer Price Index including homer occupiers' costs (CPIH) index, which is seen by the UK's Office of National Statistics as the official inflation rate. As of December 2024, the CPI inflation rate stood at 2.5 percent, while the CPIH rate was 3.5 percent. Core inflation down in 2024 Another way of measuring inflation is to strip out the volatility of energy and food prices and look at the underlying core inflation rate. As of December 2024, this was 3.2 percent, slightly higher than the overall CPI rate, but more aligned with the overall figure than it was in 2022 and 2023. When inflation peaked at 11.2 percent in October 2022, for example, core inflation stood at just 6.5 percent. After energy prices in 2023 fell relative to 2022, the overall inflation rate in the UK declined quite rapidly, with core inflation overtaking the overall rate in July 2023. During the most recent period of high inflation, core inflation peaked at 7.1 percent in May 2023, and while taking longer to fall than the overall figure, has generally been declining since then.

This dataset is about the Inflation for Saudi Arabia for 2009 - Jan 2020 (Base year 2007 & 2013). Data from Saudi Arabian Monetary Authority. Follow datasource.kapsarc.org for timely data to advance energy economics research.Note:- Data found here from January 2018 till January 2020 was 2013 base year CPI calculation- Data found here from October 2009 till December 2017 was 2007 base year CPI calculation.You can find Saudi Arabia Inflation Rate with the latest 2018 base year on KAPSARC Dataportal.

Note: The ARCH LM tests confirm the alienation of the heteroscedastic component in the models built for inflation uncertainty while the Durbin Watson test confirms the lack of series correlation. For the normality hypothesis it was considered that the feature is asymptotically reached for a sufficiently high amount of data in the sample.

Econometric equations for inflation.

In 2023, the U.S. Consumer Price Index was 309.42, and is projected to increase to 352.27 by 2029. The base period was 1982-84. The monthly CPI for all urban consumers in the U.S. can be accessed here. After a time of high inflation, the U.S. inflation rateis projected fall to two percent by 2027. United States Consumer Price Index ForecastIt is projected that the CPI will continue to rise year over year, reaching 325.6 in 2027. The Consumer Price Index of all urban consumers in previous years was lower, and has risen every year since 1992, except in 2009, when the CPI went from 215.30 in 2008 to 214.54 in 2009. The monthly unadjusted Consumer Price Index was 296.17 for the month of August in 2022. The U.S. CPI measures changes in the price of consumer goods and services purchased by households and is thought to reflect inflation in the U.S. as well as the health of the economy. The U.S. Bureau of Labor Statistics calculates the CPI and defines it 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 BLS records the price of thousands of goods and services month by month. They consider goods and services within eight main categories: food and beverage, housing, apparel, transportation, medical care, recreation, education, and other goods and services. They aggregate the data collected in order to compare how much it would cost a consumer to buy the same market basket of goods and services within one month or one year compared with the previous month or year. Given that the CPI is used to calculate U.S. inflation, the CPI influences the annual adjustments of many financial institutions in the United States, both private and public. Wages, social security payments, and pensions are all affected by the CPI.

Guyana inflation rate for 2024 was 2.90%, a 0.08% increase from 2023.

<ul style='margin-top:20px;'>

<li>Guyana inflation rate for 2023 was <strong>2.82%</strong>, a <strong>3.29% decline</strong> from 2022.</li>
<li>Guyana inflation rate for 2022 was <strong>6.12%</strong>, a <strong>1.08% increase</strong> from 2021.</li>
<li>Guyana inflation rate for 2021 was <strong>5.03%</strong>, a <strong>4.04% increase</strong> from 2020.</li>
</ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.

The table displays the source data and describes all steps that were taken to estimate the cost of a single MDA round per 100,000 eligibles.n.a. = not applicable.aThe term base year refers to the year in which cost were originally measured (1996 for India, 2002 for West Africa).bCalculated from 1), 3) and 4), assuming that drugs (50 mg DEC tablets) were purchased for all eligible persons.cFor India: cost of DEC (50-mg tablets; 5.2 tablets p.p. on average; 0.026 US$ p.p. on average) were subtracted.dCorrection for inflation, using the annual deflators as published by the World Bank [24], i.e. the rate of price change in the economy as a whole. The amount under 6) was first converted back to local currency using the base year conversion rate. Then we applied the correction for inflation between the base year and 2009. The new amount was reconverted into US dollars using the 2009 conversion rate. Average annual inflation in India was about 5% between 1996 and 2009. The average annual inflation between 2002 and 2009 in Burkina Faso was 9%.eWe assume that sensitization efforts in India are intensified to achieve higher coverage, as studied elsewhere [25], [26]. Associated extra costs (for personnel and supplies) would be 0.009 US $ per person in 2002, or 0.015 US$ per eligible if adjusted to 2009 values.fVolunteer remuneration has changed. In 2002, volunteers were paid for 2 days of training only, not distribution. By 2010 Burkina volunteers were remunerated for about 2.5 days training and 7 days distribution; the daily rate remained the same. [sources: [11] and personal communications from program directors in Burkina Faso in 2011].gIn India, DEC has to be purchased by the government, at 0.00924 US% p.p. on average (for 100 mg tablets, 2.75 tablets p.p. on average).hDonated drug: albendazole (0.022 US$ p.p.).iDonated drugs: albendazole (0.022 US$ p.p.) and ivermectin (4.2 US$ p.p. on average).

Inflation is an important measure of any country’s economy, and the Retail Price Index (RPI) is one of the most widely used indicators in the United Kingdom, with the rate expected to be 4.1 percent in 2025, compared with 3.6 percent in 2024. This followed 2022, when RPI inflation reached a rate of 11.6 percent, by far the highest annual rate during this provided time period. CPI vs RPI Although the Retail Price Index is a commonly utilized inflation indicator, the UK also uses a newer method of calculating inflation, the Consumer Price Index. The CPI, along with the CPIH (Consumer Price Index including owner occupiers' housing costs) are usually preferred by the UK government, but the RPI is still used in certain instances. Increases in rail fares for example, are calculated using the RPI, while increases in pension payments are calculated using CPI, when this is used as the uprating factor. The use of one inflation measure over the other can therefore have a significant impact on people’s lives in the UK. High inflation falls to more typical levels by 2024 Like the Retail Price Index, the Consumer Price Index inflation rate also reached a recent peak in October 2022. In that month, prices were rising by 11.1 percent and did not fall below double figures until April 2023. This fall was largely due to slower price increases in key sectors such as energy, which drove a significant amount of the 2022 wave of inflation. Inflation nevertheless remains elevated, fueled not only by high food inflation, but also by underlying core inflation. As of February 2025, the overall CPI inflation rate was 2.8 percent, although an uptick in inflation is expected later in the year, with a rate of 3.7 percent forecast for the third quarter of the year.

In May 2025, the Consumer Price Index including owner occupiers' housing costs (CPIH) inflation rate of the United Kingdom was **** percent, down from *** percent in the previous month. The inflation rate fell noticeably after the COVID-19 pandemic, but rose sharply between Spring 2021 and Autumn 2022. After peaking at *** percent in October 2022, CPIH inflation declined throughout 2023 and into 2024, falling to *** percent by September of that year, before increasing again recently. Cost of living problems persist into 2025 Although it is likely that the worst of the recent inflation surge may have passed, the issues caused by it look set to linger into 2025 and beyond. While the share of households experiencing living cost rises has fallen from ** percent in August 2022, to ** percent in July 2024, this share rose towards the end of the year, with more than half of households reporting rising costs in December. Even with lower inflation, overall consumer prices have already increased by around ** percent in the last three years, rising to almost ** percent for food prices, which lower income households typically spend more of their income on. The significant increase in people relying on food banks across the UK, is evidence of the magnitude of this problem, with approximately **** million people using food banks in 2023/**. Other measure of inflation While the CPIH inflation rate displayed here is the preferred index of the UK's Office of National Statistics, the Consumer Price Index (CPI) is often more prominently featured in the media in general. An older index, the Retail Price Index (RPI) is also still used by the government to calculate certain taxes, and rail fare rises. Other metrics include the core inflation rate, which measures prices increases without the volatility of food and energy costs, while price increases in goods and services can also be tracked separately. The inflation rate of individual sectors can also be measured, and as of December 2024, prices were rising fastest in the communications sector, at *** percent, with costs falling in the transport and furniture sectors.

Many estimated macroeconomic models assume interest rate smoothing in the monetary policy equation. In practice, monetary policymakers adjust a target level for the federal funds rate by discrete increments. One often-neglected consequence of using a quarterly average of the daily federal funds rate in empirical work is that any change in the target federal funds rate will affect the quarterly average in the current quarter and the subsequent quarter. Despite this clear source of predictable change in the quarterly average of the federal funds rate, the vast bulk of the literature that estimates policy rules ignores information concerning the timing and magnitude of discrete changes to the target federal funds rate. Consequently, policy equations that include interest rate smoothing inadvertently make the strong and unnecessary assumption that the starting point for interest rate smoothing is last quarter's average level of the federal funds rate. The authors consider, within an estimated general equilibrium model, whether policymakers put weight on the end-of-quarter target level of the federal funds rate when choosing a point at which to smooth the interest rate.

The misery index (the unweighted sum of unemployment and inflation rates) was probably the first attempt to develop a single statistic to measure the level of a population’s economic malaise. In this letter, we develop a dynamic approach to decompose the misery index using two basic relations of modern macroeconomics: the expectations-augmented Phillips curve and Okun’s law. Our reformulation of the misery index is closer in spirit to Okun’s idea. However, we are able to offer an improved version of the index, mainly based on output and unemployment. Specifically, this new Okun’s index measures the level of economic discomfort as a function of three key factors: (1) the misery index in the previous period; (2) the output gap in growth rate terms; and (3) cyclical unemployment. This dynamic approach differs substantially from the standard one utilised to develop the misery index, and allow us to obtain an index with five main interesting features: (1) it focuses on output, unemployment and inflation; (2) it considers only objective variables; (3) it allows a distinction between short-run and long-run phenomena; (4) it places more importance on output and unemployment rather than inflation; and (5) it weights recessions more than expansions.

Ireland IE: NAIRU: Unemployment Gap data was reported at -0.968 % in 2022. This records a decrease from the previous number of -0.568 % for 2021. Ireland IE: NAIRU: Unemployment Gap data is updated yearly, averaging -0.765 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 4.071 % in 2001 and a record low of -6.848 % in 2012. Ireland IE: NAIRU: Unemployment Gap data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Ireland – Table IE.OECD.EO: Non-Accelerating Inflation Rate of Unemployment (NAIRU): Forecast: OECD Member: Annual. GAPUNR - Unemployment gap Difference of nairu and unemployment rate OECD calculation, see OECD Economic Outlook, Database Inventory OECD Economic Outlook, Database Inventory:https://www.oecd.org/eco/outlook/Database_Inventory.pdf

Israel IL: NAIRU: Unemployment Gap data was reported at -0.815 % in 2022. This records an increase from the previous number of -1.343 % for 2021. Israel IL: NAIRU: Unemployment Gap data is updated yearly, averaging -0.153 % from Dec 1995 (Median) to 2022, with 28 observations. The data reached an all-time high of 1.692 % in 2008 and a record low of -1.831 % in 2003. Israel IL: NAIRU: Unemployment Gap data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Israel – Table IL.OECD.EO: Non-Accelerating Inflation Rate of Unemployment (NAIRU): Forecast: OECD Member: Annual. GAPUNR - Unemployment gap Difference of nairu and unemployment rate OECD calculation, see OECD Economic Outlook, Database Inventory OECD Economic Outlook, Database Inventory:https://www.oecd.org/eco/outlook/Database_Inventory.pdf

The Trimmed Mean PCE inflation rate produced by the Federal Reserve Bank of Dallas is an alternative measure of core inflation in the price index for personal consumption expenditures (PCE). The data series is calculated by the Dallas Fed, using data from the Bureau of Economic Analysis (BEA). Calculating the trimmed mean PCE inflation rate for a given month involves looking at the price changes for each of the individual components of personal consumption expenditures. The individual price changes are sorted in ascending order from “fell the most” to “rose the most,” and a certain fraction of the most extreme observations at both ends of the spectrum are thrown out or trimmed. The inflation rate is then calculated as a weighted average of the remaining components. The trimmed mean inflation rate is a proxy for true core PCE inflation rate. The resulting inflation measure has been shown to outperform the more conventional “excluding food and energy” measure as a gauge of core inflation.

When deciding on how to estimate future prices, due to influences that are likely to affect a product, we should consider two factors: the expected inflation and the real price change. The rate of real price change allows us to plot a trend line based on time series reflecting existing or past market price, that is, on "facts". Usually, many potential users are not going to use sophisticated forecasting techniques to estimate future prices, preferring to rely on simple approximation techniques. If acceptable time price series is available, then the simplest approach is to evidence a trend line over time that can be extended into the future. This can be done with regression analysis. In working with historical data, we could arrive at a medium-term trend estimate, which excludes the effects of inflation. Although the real price of forest products does not usually vary in an exponential way, the normal practice in investment analyses is often simplified by compounding price using a real price change rate. We can get the annual rate of real price change (r) from a linearized model that allows us to keep the statistical robustness of a linear regression model (with statistics, confidence indicators and tests), but applying the compound rate approach used in mathematics of finance. To do that, the well-known basic formula for compounding Pn=P0 (1+r)^n, where: Pn = estimated price in year n P0= price in year 0 r = annual rate of real price change (the real compound rate) n = number of years from year 0

is transformed into that of a straight line by making a change of variables (linearization).

The proposed method is easy to reproduce and seems more orthodox than apply projections made using a simple straight-line model. Even though the straight-line represents an average variation over the years, from a mathematics of finance approach we should discuss price variation in terms of the annual compound rate. In Figure 1, you can see the differences between these approaches. If we have a clear trend in past real prices and the likelihood of a real price variation, we could make future price assumptions. If you agree with this statement and believe that price trend based on historical patterns is a significative information, then you should use r value gotten from the linearized model here proposed to project the price according to the previous compounding equation, where P0 is any real price calculated through the linearized compounding model (Table I). In Catalonia, most of forest products prices have not kept up with inflation and reflect a declining trend. A few others have just barely kept up with inflation. This is means that, despite moderate growth in nominal terms, the real price of almost all Catalan forest products presents a negative trend. For example, Scots pine sawlogs -the most representative harvested species in Catalonia (the 27% of the total volume yearly logged)- have dropped by an average of almost 2% per year since 1980.