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Graph and download economic data for Consumer Price Index for All Urban Consumers: Gasoline (All Types) in U.S. City Average (CUUR0000SETB01) from Mar 1935 to Jul 2025 about gas, urban, consumer, CPI, inflation, price index, indexes, price, and USA.
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.
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The Chained Consumer Price Index for All Urban Consumers, was introduced with the release of July data in August 2002. Designated the C-CPI-U, the index supplements the existing Consumer Price Indexes already produced by the BLS: the CPI for All Urban Consumers (CPI-U) and the CPI for Urban Wage Earners and Clerical Workers (CPI-W). The C-CPI-U employs a Tornqvist formula and utilizes expenditure data in adjacent time periods in order to reflect the effect of any substitution that consumers make across item categories in response to changes in relative prices. The new measure is designed to be a closer approximation to a "cost-of-living" index than the present measures. The use of expenditure data for both a base period and the current period in order to average price change across item categories distinguishes the C-CPI-U from the existing CPI measures, which use only a single expenditure base period to compute the price change over time.
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The Consumer Price Index (CPI) measures over time the prices of goods and services in major expenditure categories typically purchased by urban consumers. The expenditure categories include food, housing, apparel, transportation, and medical care. Essentially, the Index measures consumer purchasing power by comparing the cost of a fixed set of goods and services (called a market basket) in a specific month relative to the cost of the same market basket in an earlier reference period, designated as the base period. The CPI is calculated for two population groups: urban wage earners and clerical workers (CPI-W) and all urban consumers (CPI-U). The CPI-W population includes those urban families with clerical workers, sales workers, craft workers, operatives, service workers, or laborers in the family unit and is representative of the prices paid by about 40 percent of the United States population. The CPI-U population consists of all urban households (including professional and salaried workers, part-time workers, the self-employed, the unemployed, and retired persons) and is representative of the prices paid by about 80 percent of the United States population. Both populations specifically exclude persons in the military, in institutions, and all persons living outside of urban areas (such as farm families). National indexes for both populations are available for about 350 consumer items and groups of items. In addition, over 100 of the indexes have been adjusted for seasonality. The indexes are monthly with some beginning in 1913. Area indexes are available for 27 urban places. For each area, indexes are presented for about 65 items and groups. The area indexes are produced monthly for 5 areas, bimonthly for 10 areas, and semiannually for 12 urban areas. Regional indexes are available for four regions with about 95 items and groups per region. Beginning with January 1987, regional indexes are monthly, with some beginning as early as 1966. City-size indexes are available for four size classes with about 95 items and groups per class. Beginning with January 1987, these indexes are monthly and most begin in 1977. Regional and city-size indexes are available cross-classified by region and city-size class. For each of the 13 cross-classifications, about 60 items and groups are available. Beginning with January 1987, these indexes are monthly and most begin in 1977. Each index record includes a series identification code that specifies the sample (either all urban consumers or urban wage earners and clerical workers), seasonality (either seasonally adjusted or unadjusted), periodicity (either semiannual or regular), geographic area, index base period, and item number of the index.
In 2024, the Consumer Price Index (CPI) for all items in Japan stood at *****, up *** points compared to the base year 2020. The core CPI, excluding fresh food, reached *****.
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.
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.
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.
Palestine West Bank Gaza Strip Jerusalem
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.
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.
Sample survey data [ssd]
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).
Not apply
Computer Assisted Personal Interview [capi]
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.
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.
Not apply
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.
Other technical procedures to improve data quality: Seasonal adjustment processes
This dataset contains USA Consumer Price Index (not seasonally adjusted). Data from U.S. BUREAU OF LABOR STATISTICS.Follow datasource.kapsarc.org for timely data to advance energy economics research.CPI for All Urban Consumers (CPI-U) selected categories (Top Picks) - Not Seasonally AdjustedBase Period: 1982-84=100Hospital services (DECEMBER 1996=100)
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Romania Consumer Price Index (CPI): Same Mth PY=100: FG: Milk & Dairy Products: Cheese: Cow, Telemea Type data was reported at 104.100 Same Mth PY=100 in May 2018. This records an increase from the previous number of 104.010 Same Mth PY=100 for Apr 2018. Romania Consumer Price Index (CPI): Same Mth PY=100: FG: Milk & Dairy Products: Cheese: Cow, Telemea Type data is updated monthly, averaging 105.660 Same Mth PY=100 from Jan 2001 (Median) to May 2018, with 209 observations. The data reached an all-time high of 140.500 Same Mth PY=100 in Jan 2001 and a record low of 91.180 Same Mth PY=100 in Apr 2016. Romania Consumer Price Index (CPI): Same Mth PY=100: FG: Milk & Dairy Products: Cheese: Cow, Telemea Type data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Romania – Table RO.I008: Consumer Price Index: Same Month of Previous Year=100.
In July 2025, the prices of consumer goods and services in Poland increased compared to last year. Food and non-alcoholic beverages prices increased the most, by *** percent year over year.
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Kazakhstan Consumer Price Index (CPI): Prev Dec=100: Housing Services, Water, Electricity, Gas and Other Types Fuel data was reported at 113.900 Prev Dec=100 in 2023. This records a decrease from the previous number of 115.600 Prev Dec=100 for 2022. Kazakhstan Consumer Price Index (CPI): Prev Dec=100: Housing Services, Water, Electricity, Gas and Other Types Fuel data is updated yearly, averaging 107.350 Prev Dec=100 from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 118.400 Prev Dec=100 in 2007 and a record low of 97.300 Prev Dec=100 in 2019. Kazakhstan Consumer Price Index (CPI): Prev Dec=100: Housing Services, Water, Electricity, Gas and Other Types Fuel data remains active status in CEIC and is reported by Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.I009: Consumer Price Index: Previous December=100: Annual.
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United States - Consumer Price Index for All Urban Consumers: Gasoline (All Types) in Midwest - Size Class B/C was 282.28400 Index Dec 1997=100 in July of 2025, according to the United States Federal Reserve. Historically, United States - Consumer Price Index for All Urban Consumers: Gasoline (All Types) in Midwest - Size Class B/C reached a record high of 455.43300 in June of 2022 and a record low of 82.30000 in February of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Consumer Price Index for All Urban Consumers: Gasoline (All Types) in Midwest - Size Class B/C - last updated from the United States Federal Reserve on August of 2025.
In January 2025, the consumer prices index for pork in Taiwan reached *****, representing a *** percent year-on-year increase. Meanwhile, the CPI for rice in Taiwan was ***** in that month.
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United States - Consumer Price Index for All Urban Consumers: Gasoline (All Types) in South - Size Class B/C was 251.96400 Index Dec 1997=100 in January of 2025, according to the United States Federal Reserve. Historically, United States - Consumer Price Index for All Urban Consumers: Gasoline (All Types) in South - Size Class B/C reached a record high of 334.33700 in January of 2022 and a record low of 88.00000 in July of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Consumer Price Index for All Urban Consumers: Gasoline (All Types) in South - Size Class B/C - last updated from the United States Federal Reserve on September of 2025.
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United States - Consumer Price Index for All Urban Consumers: Gasoline (All Types) in Midwest - Size Class D (DISCONTINUED) was 183.48400 Index 1982-84=100 in December of 2017, according to the United States Federal Reserve. Historically, United States - Consumer Price Index for All Urban Consumers: Gasoline (All Types) in Midwest - Size Class D (DISCONTINUED) reached a record high of 305.01700 in July of 2008 and a record low of 50.40000 in March of 1978. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Consumer Price Index for All Urban Consumers: Gasoline (All Types) in Midwest - Size Class D (DISCONTINUED) - last updated from the United States Federal Reserve on July of 2025.
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Consumer Price Index for All Urban Consumers: Gasoline (All Types) in Los Angeles-Riverside-Orange County, CA (CMSA) (DISCONTINUED) was 231.39000 Index 1982-84=100 in July of 2017, according to the United States Federal Reserve. Historically, Consumer Price Index for All Urban Consumers: Gasoline (All Types) in Los Angeles-Riverside-Orange County, CA (CMSA) (DISCONTINUED) reached a record high of 313.92000 in January of 2012 and a record low of 70.60000 in July of 1986. Trading Economics provides the current actual value, an historical data chart and related indicators for Consumer Price Index for All Urban Consumers: Gasoline (All Types) in Los Angeles-Riverside-Orange County, CA (CMSA) (DISCONTINUED) - last updated from the United States Federal Reserve on August of 2025.
In 2024, food items were the category that contributed most to the year-on-year change of the Consumer Price Index (CPI) of all items in Japan, with a contribution of ****. Culture and recreation followed with a contribution ****. The total contribution of all items is equal to the rate of change of the CPI, which was *** percent in 2024. The CPI of all items rose to ***** index points.
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United States - Consumer Price Index for All Urban Consumers: Gasoline (All Types) in U.S. City Average was 287.73600 Index 1982-84=100 in July of 2024, according to the United States Federal Reserve. Historically, United States - Consumer Price Index for All Urban Consumers: Gasoline (All Types) in U.S. City Average reached a record high of 357.84700 in January of 2022 and a record low of 70.40000 in July of 1986. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Consumer Price Index for All Urban Consumers: Gasoline (All Types) in U.S. City Average - last updated from the United States Federal Reserve on July of 2025.
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Graph and download economic data for Consumer Price Index for All Urban Consumers: Gasoline (All Types) in Size Class A (CUUSA000SETB01) from H1 1987 to H1 2025 about gas, urban, consumer, CPI, inflation, price index, indexes, price, and USA.
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Graph and download economic data for Consumer Price Index for All Urban Consumers: Gasoline (All Types) in U.S. City Average (CUUR0000SETB01) from Mar 1935 to Jul 2025 about gas, urban, consumer, CPI, inflation, price index, indexes, price, and USA.