In the United States, online grocery prices hit a **** year peak in September 2022, when they registered a **** percent year-over-year increase. In the country, the prices of grocery products available online has increased continuously, only lowering by **** percent as of March 2025, marking an unprecedented period of inflation.

Monthly average retail prices for food, household supplies, personal care items, cigarettes and gasoline. Prices are presented for the current month and previous four months. Prices are in Canadian current dollars.

Building materials made of steel, copper and other metals had some of the highest price growth rates in the U.S. in the first half of 2025 in comparison to the previous year. The growth rate of the cost of several construction materials was slightly lower than in late 2024. It is important to note, though, that the figures provided are Producer Price Indices, which cover production within the United States, but do not include imports or tariffs. This might matter for lumber, as Canada's wood production is normally large enough that the U.S. can import it from its neighboring country. Construction material prices in the United Kingdom Similarly to these trends in the U.S., at that time the price growth rate of construction materials in the UK were generally lower 2024 than in 2023. Nevertheless, the cost of some construction materials in the UK still rose that year, with several of those items reaching price growth rates of over **** percent. Considering that those materials make up a very big share of the costs incurred for a construction project, those developments may also have affected the average construction output price in the UK. Construction material shortages during the COVID-19 pandemic During the first years of the COVID-19 pandemic, there often were supply problems and material shortages, which created instability in the construction market. According to a survey among construction contractors, the construction materials most affected by shortages in the U.S. during most of 2021 were steel and lumber. This was also a problem on the other side of the Atlantic: The share of building construction companies experiencing shortages in Germany soared between March and June 2021, staying at high levels for over a year. Meanwhile, the shortage of material or equipment was one of the main factors limiting the building activity in France in June 2022.

Cost of food in the United States increased 2.90 percent in July of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Food in U.S. City Average (CPIUFDNS) from Jan 1913 to Jul 2025 about food, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

The rate at which prices for goods and services are generally rising and, as a result, currency's purchasing power is declining is known as inflation. Central banks attempt to limit inflation—and avoid deflation—in order to keep the economy running smoothly. Each unit of currency may purchase fewer products and services as prices rise. This results in a reduction in the actual value of money, a process that impacts every level of the economy, from consumers to governments. The percentage change in the cost of a basket of goods and services over a certain time period, often a year, is measured by the inflation rate. It’s a key metric for assessing the health of an economy, showing how much more expensive everyday goods and services have become. The change in the average price level of a basket of goods and services over a year is represented by the inflation rate average consumer prices (annual per cent change). It’s calculated by taking the average of prices across all months of a given year compared to the previous year. This metric is determined by averaging monthly price data and comparing it to the average of the previous year. It provides a broader view of inflation trends across a longer time frame, smoothing out any short-term volatility. The Inflation rate, end of period consumer prices (annual per cent change) reflects the price level change from the end of one period (typically December) to the end of the next period (the following December). Instead of taking an average, this rate focuses on the price level at a specific point in time, providing a snapshot of inflation. It’s calculated by comparing the Consumer Price Index (CPI) of the final month of the year with the CPI of the last month of the previous year.

The price rate of change (ROC) in Western European countries* across various time periods in the late twentieth century fluctuate greatly. In the 13 years between 1960 and 1973, the average price of items increased by just 4.6 percent, compared to an increase of 12.4 percent in the seven years between 1973 and 1980. This spike came as a result of the recession of 1973-1975 and the oil shock of 1979, as conflict in the Middle East led to significant rises in oil prices in Western Europe, whose economies had become increasingly dependent on foreign oil imports to sustain industrial production. Further conflicts in the region led to additional recessions in the west in the early 1980s, and price ROC in Western Europe remained relatively high at 8.8 percent in the first half of the decade. A series of domestic and international policy changes helped to stabilize inflation across Western Europe in the second half of the decade, and the price ROC dropped to just 4.1 percent over these five years.

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

Regular butter, sold in sticks, per pound (16 oz.). Includes organic and non-organic butter."

Consumer Price Index CPI in the United States increased to 323.05 points in July from 322.56 points in June 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

Food Price Index in World increased to 130.10 Index Points in July from 128 Index Points in June of 2025. This dataset includes a chart with historical data for World Food Price Index.

Monthly indexes and percentage changes for all 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.

Abstract

Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

        A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.

Geographic coverage notes

The data cover the following sub-national areas: Abia, Borno, Yobe, Katsina, Kano, Kaduna, Gombe, Jigawa, Kebbi, Oyo, Sokoto, Zamfara, Lagos, Adamawa, Market Average

In July 2025, the 12-month inflation rate for food items in the United States was at 2.9 percent. That month, egg prices increased by over 16 percent compared to July 2024. Inflation for sugar and sweets saw an increase at 5.1 percent.

Fresh whole milk, fortified, sold per gallon regardless of packaging type. Includes organic and non-organic milk."

Oman Consumer Price Index (CPI): YoY: Miscellaneous Goods and Services data was reported at 6.110 % in Mar 2025. This records a decrease from the previous number of 6.250 % for Feb 2025. Oman Consumer Price Index (CPI): YoY: Miscellaneous Goods and Services data is updated monthly, averaging 0.890 % from Jan 2013 (Median) to Mar 2025, with 146 observations. The data reached an all-time high of 6.250 % in Feb 2025 and a record low of -4.780 % in Dec 2019. Oman Consumer Price Index (CPI): YoY: Miscellaneous Goods and Services data remains active status in CEIC and is reported by National Centre for Statistics and Information. The data is categorized under Global Database’s Oman – Table OM.I001: Consumer Price Index: Year Over Year.

Supermarkets have maintained stable volume-driven business strategies amid a pricing environment that has been in the spotlight. Conflict in the Middle East, avian flu outbreaks and other inflationary pressures have driven prices up, with many stores passing on these costs to consumers. While consumers are paying more for groceries and upstream suppliers are seeing their margins shrink, supermarkets Coles and Woolworths have maintained relatively stable profit margins, among the highest in the world. The continued expansion of Aldi and Amazon has forced the two established industry giants to shift gears recently to remain price-competitive on both the physical store and online service fronts, launching short-term price discounting initiatives. These supermarket giants also rely on loyalty programs and promotions. Coles and Woolworths have displayed interest in data analytics, strengthening their relationships with analytics data giants like Palantir to optimise their marketing and operational processes. The ACCC's landmark supermarkets inquiry, while not finding evidence of price gouging, identified 20 key recommendations that would ensure a more sustainable market and avoid oligopolistic exploitation. Supermarket and grocery revenue rose significantly following the COVID-19 outbreak. A combination of panic buying, along with the suspension of many specials and promotions in supermarkets, boosted grocery turnover at the beginning of the period, spiking revenue for the two years through 2020-21. This high benchmark at the start of the period has resulted in an industry correction and an annualised revenue contraction of 0.4% to $144.3 billion over the five years through 2025-26. Revenue is estimated to climb 0.4% in 2025-26, reflecting the price-driven industry growth that falling tobacco sales have offset. Supermarkets and grocery stores are set to perform well, with industry revenue slated to climb at an annualised 1.5% through 2030-31 to $155.6 billion. Population growth will remain a key growth factor that stores rely on, as many continue a volume-driven business approach to generating revenue. Should the transparency-related recommendations from the ACCC's inquiry be implemented, some price-driven growth may be curtailed. Eventually, when inflationary pressures subside and consumer sentiment returns to a positive level, supermarkets and grocers will be well-positioned to take advantage of consumer appetite for value-added and premium goods. Strong growth in online sales is set to continue.

Ground, regular caffeine content coffee sold in a can or plastic container, regardless of size."