The online price changes for a selection of food and drink products from several large UK retailers. These data are experimental estimates developed to deliver timely indicators to help better understand real time economic activity and social change in the UK.

The Consumer Price Index (CPI) for food is a component of the all-items CPI. The CPI measures the average change over time in the prices paid by urban consumers for a representative market basket of consumer goods and services. While the all-items CPI measures the price changes for all consumer goods and services, including food, the CPI for food measures the changes in the retail prices of food items only.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Web page with links to Excel files For complete information, please visit https://data.gov.

This statistic depicts the projected drug price changes in the U.S. market from mid-2018 to end-2019, by product group. According to the source, there will be a 3.88 percent increase in the price of noncontract purchases.

Producer Prices in Netherlands decreased 0.90 percent in May of 2025 over the same month in the previous year. This dataset provides - Netherlands Producer Prices Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Food price increases hit the egg category the hardest between December 2021 and December 2024 in the United States. The price of eggs increased by 8.25 percent in 2024.

Producer Prices in Ghana increased 10.20 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Ghana Producer Prices Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In 2022, around 72 percent of respondents to a survey in Germany found that food prices had increased significantly lately. Around 55 percent felt the same about kitchen appliances and dishes. Figures are based on a survey conducted in German in spring 2022.

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

This table presents the Consumer price index (CPI) with reference year 1900 = 100. This index series is an estimation and has been constructed by multiplying the year-on-year mutations of several index series from different reference periods with the overlapping index from the previous reference period. The index shows the price change of the goods and services purchased by an average Dutch household in one year. Annual rate of change is measured as the year on-year change of the CPI, expressed as a percentage. The annual rate of change in this series may differ from the officially published annual rate of change as a result of rounding differences.

Data available from: 1900

Status of the figures: The yearly figures are provisional when first published. Definitive figures are provided in the second version. Disparities between provisional and definitive figures must be attributed to new or updated source material that has become available.

Changes as of 22 June 2017: The term inflation changed in annual rate of change.

When will new figures be published? New figures are available at the beginning of the year.

Turkey TR: Wholesale Price Index: % Change data was reported at 6.470 % in Dec 2013. This records an increase from the previous number of 6.406 % for Sep 2013. Turkey TR: Wholesale Price Index: % Change data is updated quarterly, averaging 48.545 % from Mar 1987 (Median) to Dec 2013, with 108 observations. The data reached an all-time high of 137.650 % in Mar 1995 and a record low of -1.567 % in Jun 2009. Turkey TR: Wholesale Price Index: % Change data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Turkey – Table TR.IMF.IFS: Consumer and Producer Price Index: Quarterly.

Pakistan PK: Consumer Price Index (CPI): % Change data was reported at 4.085 % in 2017. This records an increase from the previous number of 3.765 % for 2016. Pakistan PK: Consumer Price Index (CPI): % Change data is updated yearly, averaging 7.158 % from Dec 1957 (Median) to 2017, with 61 observations. The data reached an all-time high of 26.663 % in 1974 and a record low of -3.390 % in 1959. Pakistan PK: Consumer Price Index (CPI): % Change data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Pakistan – Table PK.IMF.IFS: Consumer and Producer Price Index: Annual.

Brazil BR: Consumer Price Index (CPI): % Change over Previous Period data was reported at 3.446 % in 2017. This records a decrease from the previous number of 8.739 % for 2016. Brazil BR: Consumer Price Index (CPI): % Change over Previous Period data is updated yearly, averaging 8.739 % from Dec 1981 (Median) to 2017, with 37 observations. The data reached an all-time high of 2,947.733 % in 1990 and a record low of 3.195 % in 1998. Brazil BR: Consumer Price Index (CPI): % Change over Previous Period data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Brazil – Table BR.IMF.IFS: Consumer and Producer Price Index: Annual.

Producer Prices in Poland decreased 1.50 percent in May of 2025 over the same month in the previous year. This dataset provides - Poland Producer Prices Change - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

From 2019 to 2020, half of all drugs covered by Medicare Part B and Part D showed a price increase that was above the rate of inflation. However, 42 percent of Medicare covered drugs showed a reduction in prices.

Question Paper Solutions of chapter Inflation and Price Change of Economics for Engineers - Humanities II, 3rd Semester , Information Technology

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Norway Consumer Price Index (CPI): YoY: Tax Changes Adjustment: excl Temporary Changes in Energy Prices data was reported at 2.000 % in Oct 2018. This records a decrease from the previous number of 2.200 % for Sep 2018. Norway Consumer Price Index (CPI): YoY: Tax Changes Adjustment: excl Temporary Changes in Energy Prices data is updated monthly, averaging 1.700 % from Jan 2002 (Median) to Oct 2018, with 202 observations. The data reached an all-time high of 3.700 % in Sep 2008 and a record low of 0.400 % in Feb 2004. Norway Consumer Price Index (CPI): YoY: Tax Changes Adjustment: excl Temporary Changes in Energy Prices data remains active status in CEIC and is reported by Norges Bank. The data is categorized under Global Database’s Norway – Table NO.I012: Consumer Price Index: Tax Changes Adjustment: Percentage Change.

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