Chile Consumer Price Index (CPI): Housing: Hardware: Calculator data was reported at 24,832.770 1998=100 in Dec 2008. This records an increase from the previous number of 24,608.830 1998=100 for Nov 2008. Chile Consumer Price Index (CPI): Housing: Hardware: Calculator data is updated monthly, averaging 24,642.810 1998=100 from Dec 1998 (Median) to Dec 2008, with 121 observations. The data reached an all-time high of 26,104.340 1998=100 in Mar 2003 and a record low of 23,585.500 1998=100 in Apr 2000. Chile Consumer Price Index (CPI): Housing: Hardware: Calculator data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Chile – Table CL.I014: Consumer Price Index: Greater Santiago: Dec1998=100.

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.

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.

Consumer Price Index CPI in the United States increased to 321.47 points in May from 320.80 points in April 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.

Abstract

The Consumer price surveys primarily provide the following: Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure. Statistics needed for decision-makers, planners and those who are interested in the national economy. Contribution to the preparation of quarterly and annual national accounts data.

Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows: Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs. To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups. Price index numbers are widely used to measure inflation rates and economic recession. Price indices are used by the public as a guide for the family with regard to its budget and its constituent items. Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs. It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.

Geographic coverage

Palestine West Bank Gaza Strip Jerusalem

Analysis unit

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Universe

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Kind of data

Sample survey data [ssd]

Sampling procedure

A non-probability purposive sample of sources from which the prices of different goods and services are collected was updated based on the establishment census 2017, in a manner that achieves full coverage of all goods and services that fall within the Palestinian consumer system. These sources were selected based on the availability of the goods within them. It is worth mentioning that the sample of sources was selected from the main cities inside Palestine: Jenin, Tulkarm, Nablus, Qalqiliya, Ramallah, Al-Bireh, Jericho, Jerusalem, Bethlehem, Hebron, Gaza, Jabalia, Dier Al-Balah, Nusseirat, Khan Yunis and Rafah. The selection of these sources was considered to be representative of the variation that can occur in the prices collected from the various sources. The number of goods and services included in the CPI is approximately 730 commodities, whose prices were collected from 3,200 sources. (COICOP) classification is used for consumer data as recommended by the United Nations System of National Accounts (SNA-2008).

Sampling deviation

Not apply

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

A tablet-supported electronic form was designed for price surveys to be used by the field teams in collecting data from different governorates, with the exception of Jerusalem J1. The electronic form is supported with GIS, and GPS mapping technique that allow the field workers to locate the outlets exactly on the map and the administrative staff to manage the field remotely. The electronic questionnaire is divided into a number of screens, namely: First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number. Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection. Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability. Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs. Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).

In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.

Cleaning operations

The price survey forms were already encoded by the project management depending on the specific international statistical classification of each survey. After the researcher collected the price data and sent them electronically, the data was reviewed and audited by the project management. Achievement reports were reviewed on a daily and weekly basis. Also, the detailed price reports at data source levels were checked and reviewed on a daily basis by the project management. If there were any notes, the researcher was consulted in order to verify the data and call the owner in order to correct or confirm the information.

At the end of the data collection process in all governorates, the data will be edited using the following process: Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction. Mathematical revision of the average prices for items in governorates and the general average in all governorates. Field revision of prices through selecting a sample of the prices collected from the items.

Response rate

Not apply

Sampling error estimates

The findings of the survey may be affected by sampling errors due to the use of samples in conducting the survey rather than total enumeration of the units of the target population, which increases the chances of variances between the actual values we expect to obtain from the data if we had conducted the survey using total enumeration. The computation of differences between the most important key goods showed that the variation of these goods differs due to the specialty of each survey. For example, for the CPI, the variation between its goods was very low, except in some cases such as banana, tomato, and cucumber goods that had a high coefficient of variation during 2019 due to the high oscillation in their prices. The variance of the key goods in the computed and disseminated CPI survey that was carried out on the Palestine level was for reasons related to sample design and variance calculation of different indicators since there was a difficulty in the dissemination of results by governorates due to lack of weights. Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include: Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019. Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following: More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy. Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation: Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire. Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys. A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%): Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs. Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%. The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates. Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.

Data appraisal

Other technical procedures to improve data quality: Seasonal adjustment processes

Austria AT: Consumer Price Index (CPI): Local Source Base Year: All Items data was reported at 120.267 2020=100 in 2023. This records an increase from the previous number of 111.550 2020=100 for 2022. Austria AT: Consumer Price Index (CPI): Local Source Base Year: All Items data is updated yearly, averaging 55.823 2020=100 from Dec 1958 (Median) to 2023, with 66 observations. The data reached an all-time high of 120.267 2020=100 in 2023 and a record low of 14.452 2020=100 in 1958. Austria AT: Consumer Price Index (CPI): Local Source Base Year: All Items 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 Austria – Table AT.OECD.MEI: Consumer Price Index: COICOP 1999: OECD Member: Annual. The Austrian CPI measure price changes in a fixed basket of goods and services bought in Austria for the purpose of consumption by all Austrian households, foreign visitors and residents in institutional households. The prices used in the CPI calculation are the transaction prices actually paid by consumers including taxes less any general discounts, rebates or subsidies. Method of collection: Personal visits and mail questionnaire, paper collection forms, centrally collected prices by mail and telephone. Treatment of rentals for housing: Apartments rent abroad are included. Treatment of Owner-Occupied Housing: Regular payments for Owner occupied flats are included (payment approach), initial payments are excluded. House construction goods and services and major repairs are included. The purchase of a house and other real estate (land prices, housing agents) are not included. Treatment of missing prices: Prices are adjusted by the rate of change of the other price observations of the same product. If product offers are not available any more a new product offer is selected as replacement immediately after three months at latest. Treatment of quality changes: Quantity adjustment for food, Expert Judgment adjustment method e.g. for clothing, Option pricing method for durables and cars, Hedonic method for notebooks. Introduction of new products: New products are selected with respect to demand (turnover) and availability and they are introduced every December. New models and varieties are implemented by replacement as soon as they become relevant. Treatment of seasonal items: When a product offer disappears for seasonal non-availability, it is not replaced but its price relative is excluded from calculation. The index is then calculated with the rest of available prices. If the seasonal variety becomes available again the respective price relative is included in the calculation again (after potential quality adjustment). For a minority of products which would not at all be available in whole Austria the last prices are carried forward (e.g. schools and theatres in summer or public baths in winter).; Index series starts in January 1958

Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.

In an effort to further coordinate and harmonize the collection of CPI data, the international organizations agreed that the International Monetary Fund (IMF) and the Organisation for Economic Cooperation and Development (OECD) would assume responsibility for the international collection and dissemination of national CPI data. Under this data collection initiative, countries are reporting the aggregate all items index; more detailed indexes and weights for 12 subgroups of consumption expenditure (according to the so-called COICOP-classification), and detailed metadata. These detailed data represent a valuable resource for data users throughout the world and this portal would not be possible without the ongoing cooperation of all reporting countries. In this effort, the OECD collects and validates the data for their member countries, including accession and key partner countries, whereas the IMF takes care of the collection of data for all other countries.

This data package includes the underlying data to replicate the charts, tables, and calculations presented in Modernizing price measurement and evaluating recent critiques of the consumer price index, PIIE Working Paper 25-3.

If you use the data, please cite as:

Sichel, Daniel E., and Christopher Mackie. 2025. Modernizing price measurement and evaluating recent critiques of the consumer price index. PIIE Working Paper 25-3. Washington: Peterson Institute for International Economics.

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.

San Marino Consumer Price Index (CPI): % Change data was reported at 1.046 % in 2017. This records an increase from the previous number of 0.574 % for 2016. San Marino Consumer Price Index (CPI): % Change data is updated yearly, averaging 1.890 % from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 4.293 % in 2008 and a record low of 0.146 % in 2015. San Marino Consumer Price Index (CPI): % Change data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank.WDI: Inflation. 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.; ; International Monetary Fund, International Financial Statistics and data files.; Median;

Key information about Algeria Consumer Price Index CPI growth

• Algeria Consumer Price Index (CPI) growth was measured at 3.7 % YoY in Jan 2025, compared with a rate of 3.0 % in the previous month.
• Algeria Consumer Price Index growth data is updated monthly, available from Jan 1975 to Jan 2025, with an averaged number of 6.2 % YoY.
• The data reached an all-time high of 40.3 % YoY in Jan 1995 and a record low of -5.2 % YoY in Aug 1983.

Consumer Price Index CPI in India increased to 194.20 points in June from 193 points in May of 2025. This dataset provides - India Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Comoros KM: Consumer Price Index (CPI): % Change data was reported at -4.295 % in 2013. This records a decrease from the previous number of 6.315 % for 2012. Comoros KM: Consumer Price Index (CPI): % Change data is updated yearly, averaging 3.533 % from Dec 2001 (Median) to 2013, with 13 observations. The data reached an all-time high of 6.315 % in 2012 and a record low of -4.295 % in 2013. Comoros KM: Consumer Price Index (CPI): % Change data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Inflation. 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.;International Monetary Fund, International Financial Statistics and data files.;Median;

The Consumer Price Index (CPI) is a measure that examines the weighted average of prices of a basket of consumer goods and services, such as transportation, food, and medical care. It is calculated by taking price changes for each item in the predetermined basket and averaging them. Prices are collected periodically, and the CPI is often used to measure inflation, reflecting the cost of living. The CPI is typically set against a base year. The index is set to 100 in the base year, and changes in the CPI indicate price changes compared to that year. A typical household might purchase a wide range of products and services. Items in the basket are weighted according to their importance or share in total household spending. The Inflation Rate is the percentage increase in the general level of prices for goods and services over a period of time. It indicates how much prices have risen over a specific period, typically a year. Higher inflation decreases the purchasing power of money, meaning consumers can buy less with the same amount of money.It reflects the overall health of an economy. Moderate inflation is expected in a growing economy, but hyperinflation can indicate economic instability. The Inflation Rate is calculated using the following formula: Inflation Rate (%) = ((CPI in Current Year−CPI in Previous Year)/ (CPI in Previous Year))×100

Singapore Consumer Price Index (CPI): Weights: FFSS: Milk, Cheese & Eggs: Formula Milk Powder data was reported at 0.270 % in Dec 2024. This stayed constant from the previous number of 0.270 % for Nov 2024. Singapore Consumer Price Index (CPI): Weights: FFSS: Milk, Cheese & Eggs: Formula Milk Powder data is updated monthly, averaging 0.270 % from Jan 2014 (Median) to Dec 2024, with 132 observations. The data reached an all-time high of 0.270 % in Dec 2024 and a record low of 0.270 % in Dec 2024. Singapore Consumer Price Index (CPI): Weights: FFSS: Milk, Cheese & Eggs: Formula Milk Powder data remains active status in CEIC and is reported by Singapore Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.I007: Consumer Price Index: 2019=100: Weights.

The Chinese economy has undergone a long-term transition reform, but there is still a planned economy characteristic in the financial sector, which is financial repression. Due to the existence of financial repression, China’s actual interest rate level should be lower than the Consumer Price Index (CPI). However, based on official China’s interest rates and CPI, over half of the years China’s actual interest rate remained higher than CPI by our calculation from 1999 to 2022. This is inconsistent with the financial repression that exists in China, and the main reason is the calculation methods of China’s CPI. China’s CPI measurement system originated from the planned economy era, which did not fully consider the rise in housing purchase prices, so the current CPI measurement system can be more realistically presented by taking the rise in housing prices into consider. The core idea of this study is to mining relevant official statistical data and calculate the proportion of Chinese residents’ expenditure on purchasing houses to their total expenditure. By taking the proportion of house purchases as the weight of house price factor, and taking the proportion of other consumption as the weight of official CPI, the Generalized CPI (GCPI) is formulated. The GCPI is then compared with market interest rates to determine the actual interest rate situation in China over the past 20 years. This study has found that if GCPI is used as a measure, China’s real interest rates have been negative for most years since 1999. Chinese residents have suffered the negative effects of financial repression over the past 20 years, and their property income cannot keep up with the actual losses caused by inflation. Therefore, it is believed that China’s CPI calculation method should be adjusted to take into account the rise in housing prices, so China’s actual inflation level could be more accurately reflected. In view of the above, deepening interest rate marketization reform and expand channels for financial investment are the future development goals of China’s financial system.

Measures of monthly UK inflation data including CPIH, CPI and RPI. These tables complement the consumer price inflation time series dataset.

United States PCE: PI: Qtr: Less Formula Effect data was reported at -0.050 Point in Mar 2013. This records an increase from the previous number of -0.160 Point for Dec 2012. United States PCE: PI: Qtr: Less Formula Effect data is updated quarterly, averaging -0.160 Point from Mar 2002 (Median) to Mar 2013, with 45 observations. The data reached an all-time high of 0.710 Point in Dec 2008 and a record low of -0.450 Point in Sep 2005. United States PCE: PI: Qtr: Less Formula Effect data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A139: NIPA 2009: Personal Consumption Expenditure Price Index and CPI Reconciliation: Quarterly.

United States PCE: PI: saar: Less Formula Effect (LFE) data was reported at -0.100 % Point in Mar 2025. This records a decrease from the previous number of -0.060 % Point for Dec 2024. United States PCE: PI: saar: Less Formula Effect (LFE) data is updated quarterly, averaging -0.160 % Point from Mar 2002 (Median) to Mar 2025, with 93 observations. The data reached an all-time high of 0.550 % Point in Jun 2020 and a record low of -0.590 % Point in Sep 2005. United States PCE: PI: saar: Less Formula Effect (LFE) data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s United States – Table US.I048: PCE Price Index and CPI Reconciliation: NIPA 2023: Quarterly.

Montenegro ME: Consumer Price Index (CPI): % Change data was reported at 2.380 % in 2017. This records an increase from the previous number of -0.271 % for 2016. Montenegro ME: Consumer Price Index (CPI): % Change data is updated yearly, averaging 2.652 % from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 8.759 % in 2008 and a record low of -0.711 % in 2014. Montenegro ME: Consumer Price Index (CPI): % Change data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Montenegro – Table ME.World Bank.WDI: Inflation. 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.; ; International Monetary Fund, International Financial Statistics and data files.; Median;