The Consumer Price Index (CPI) is a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services. Indexes are available for the U.S. and various geographic areas. Average price data for select utility, automotive fuel, and food items are also available. Prices for the goods and services used to calculate the CPI are collected in 75 urban areas throughout the country and from about 23,000 retail and service establishments. Data on rents are collected from about 43,000 landlords or tenants.

More information and details about the data provided can be found at http://www.bls.gov/cpi

This dataset provides values for CONSUMER PRICE INDEX CPI reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Monthly indexes for major components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the current month and previous four months. The base year for the index is 2002=100.

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.

Comprehensive database of time series covering measures of inflation data for the UK including CPIH, CPI and RPI.

The Consumer Price Index in the United States increased 0.20 percent in February of 2025 over the previous month. This dataset provides - United States Inflation Rate MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2023 about consumer, CPI, inflation, price index, indexes, price, and USA.

Consumer Price Index 1st and 2nd quarters 2018 report.rmieppso.org

Monthly indexes and percentage changes for major components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.

Consumer Price Index CPI in Hong Kong decreased to 108.60 points in February from 108.70 points in January of 2025. This dataset provides the latest reported value for - Hong Kong Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Consumer Price Index CPI in Saudi Arabia increased to 112.28 points in December from 112.24 points in November of 2024. This dataset provides - Saudi Arabia Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Consumer Price Index (CPI) is an indicator of changes in consumer prices. It is obtained by comparing the cost of a fixed basket of goods and services purchased by consumers over time. CPI data and methodology is collected and maintained by Statistics Canada.

Child Protective Investigations (CPI) conducts either a traditional investigation or Alternative Response (AR). Traditional investigations and Alternative Response require caseworkers to assess safety and take needed actions to protect a child while assessing any risk of abuse or neglect in the foreseeable future. AR cases present a less adversarial more collaborative approach to working with families by allowing for family engagement along with other community supports to ensure child safety. AR differs from traditional investigations in that AR cases are Priority 2 cases involving victims who are age 6 or older, there is no substantiation of allegations, no entry of perpetrators into the Central Registry (a repository for reports of child abuse and neglect), and there is a heightened focus on guiding the family to plan for safety in a way that works for them and therefore sustains the safety. Completed investigations only include those cases conducted as a traditional investigation that were not administratively closed or merged into another stage. Investigations may include more than one alleged victim. All allegations in a completed investigation are given one of the following dispositions: Reason to Believe (RTB) - defined in section 2281.2 of the CPS policy handbook Ruled Out (RO) - defined in section 2281.3 of CPS policy handbook Unable to Complete (UTC) - defined in section 2281.4 of CPS policy handbook Unable to Determine (UTD) - defined in section 2281.4 of CPS policy handbook If at least one allegation has an RTB disposition, the investigation is given an overall disposition of RTB. If there are no allegations with an RTB disposition but there is at least one allegation with a disposition of UTD, the investigation is given an overall disposition of UTD. Visit dfps.texas.gov for information on CPI Abuse/Neglect Investigations and all DFPS programs.

The Consumers Price Index (CPI) measures changes to the prices of consumer items bought by New Zealand households, giving a measure of inflation. Data is available from 1920.

Historical (real-time) releases of the measures of core inflation, with data from 1989 (not all combinations necessarily have data for all years). Data are presented for the current release and previous four releases. Users can select other releases that are of interest to them.

This table contains figures on the price movements of a package of goods and services purchased by an average Dutch household. This is called the Consumer Price Index (CPI). The table also shows the derived consumer price index: this is the CPI that removes the impact of changes in the rates of taxes on products (e.g. VAT and excise duties on alcohol and tobacco) and subsidies and of taxes on consumption (e.g. motor vehicle taxes).

In addition, the table shows the monthly and annual changes in the CPI. The annual rate of change in total expenditure is an important indicator of inflation. These figures can be viewed across 337 product groups. There are also 34 aggregations of product groups (special aggregates) in the table. For each product group, you can also find out how much the Dutch consumer spends on it in relation to his total expenditure. This is called the weighting coefficient. The total weighting is 100,000.

Figures of the CPI are published every month. In addition, an annual figure will be published at the end of the year. The CPI of a calendar year is calculated as the average of the 12-month indices of that year.

Data available from: January 1996.

Status of figures: Rapid estimate figures are published immediately at the end of a reporting month or shortly thereafter. The rapid estimate provides figures for the year-on-year and month-on-month changes in the main level of the CPI and a number of special aggregates. These figures are calculated on the basis of incomplete source data. These numbers are not suitable for indexing. Therefore, the rapid estimate does not publish indices. The changes in the rapid estimate are characterised as preliminary.

The rapid estimate is followed by the first publication of all indices and changes for the month under review. These figures are also provisional. A month later, the figures for the same reporting month become final. Differences between provisional and final indices are due to met source data.

Changes compared to the previous version: Data for a new period has been added and/or adjustments have been made.

Changes as of 8 February 2024: From the reporting month of January 2024, a price development will be published for spending category 063000 Hospital services. This new index series is based on December 2023. This means that the index level of 100 corresponds to the price level as measured on December 2023. Previously, an index for the same spending category was also published between 2006 and 2009. That index series had as base year 2006=100, and stopped after December 2009. The current series will start again at 100 as of December 2023.

Changes as of 1 June 2016: Data for the period 1996 to January 2015 have been added for all series. In order to get an overall picture, the existing series have been extended to include the spending categories that have been discontinued for the period 2015.

These are the categories of expenditure: 2006=100: - 011320 Frozen fish - 031100 Clothing fabrics - 031420 Repair and rental services of clothing - 032200 Repair and rental services of shoes - 043210 Plumber services - 043230 Heating maintenance - 043250 Carpentry services - 043290 Ov. maintenance services home - 051300 Repair of furniture and the like - 053190 Other large household appliances - 063000 Hospital services - 091420 Unrecorded data carriers - 094240 Hire of equipment for culture - 096010 Package holidays inland 2000=100: - 134000 Property tax

Because these series do not have a base year 2015=100, the base year 2006=100 or 2000=100 has been used for this purpose. Where there is a different base year, this is explicitly included in the explanatory memorandum.

When will there be new figures? The figures for the rapid estimate shall be published on the last working day of the month to which the figures refer, or shortly thereafter.

The new indices are usually published between the first and second Thursday of the month following the month under review. The indices of the previous reporting month will then become definitive.

All publication times of the CPI are published on the publicatieplanning.

The Regional Price Index contrasts the cost of a common basket of goods and services at a number of regional locations to the Perth metropolitan area. The RPIs were commissioned to assist with the calculation of the Western Australian State Government’s regional district allowance, and it has been used to assist in policy decision-making. Show full description

Inflation Rate in Malaysia decreased to 1.50 percent in February from 1.70 percent in January of 2025. This dataset provides - Malaysia Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Monthly indexes for major components and special aggregates of the Consumer Price Index (CPI), seasonally adjusted, for Canada. Data are presented for the current month and previous four months. The base year for the index is 2002=100.

Geotail Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution CPI data in GSM coordinates. This data set consists of propagated solar wind data that has first been propagated to a position just outside of the nominal bow shock (about 17, 0, 0 Re) and then linearly interpolated to 1 min resolution using the interp1.m function in MATLAB. The input data for this data set is a 1 min resolution processed solar wind data constructed by Dr. J.M. Weygand. The method of propagation is similar to the minimum variance technique and is outlined in Dan Weimer et al. [2003; 2004]. The basic method is to find the minimum variance direction of the magnetic field in the plane orthogonal to the mean magnetic field direction. This minimum variance direction is then dotted with the difference between final position vector minus the original position vector and the quantity is divided by the minimum variance dotted with the solar wind velocity vector, which gives the propagation time. This method does not work well for shocks and minimum variance directions with tilts greater than 70 degrees of the sun-earth line. This data set was originally constructed by Dr. J.M. Weygand for Prof. R.L. McPherron, who was the principle investigator of two National Science Foundation studies: GEM Grant ATM 02-1798 and a Space Weather Grant ATM 02-08501. These data were primarily used in superposed epoch studies References: Weimer, D. R. (2004), Correction to ‘‘Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique,’’ J. Geophys. Res., 109, A12104, doi:10.1029/2004JA010691. Weimer, D.R., D.M. Ober, N.C. Maynard, M.R. Collier, D.J. McComas, N.F. Ness, C. W. Smith, and J. Watermann (2003), Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique, J. Geophys. Res., 108, 1026, doi:10.1029/2002JA009405.