The Producer Price Index (PPI) is a family of indexes that measures the average change over time in selling prices received by domestic producers of goods and services. PPIs measure price change from the perspective of the seller. This contrasts with other measures, such as the Consumer Price Index (CPI), that measure price change from the purchaser's perspective. Sellers' and purchasers' prices may differ due to government subsidies, sales and excise taxes, and distribution costs. There are three main PPI classification structures which draw from the same pool of price information provided to the BLS by cooperating company reporters: Industry classification. A Producer Price Index for an industry is a measure of changes in prices received for the industry's output sold outside the industry (that is, its net output). The PPI publishes approximately 535 industry price indexes in combination with over 4,000 specific product line and product category sub-indexes, as well as, roughly 500 indexes for groupings of industries. North American Industry Classification System (NAICS) index codes provide comparability with a wide assortment of industry-based data for other economic programs, including productivity, production, employment, wages, and earnings. Commodity classification. The commodity classification structure of the PPI organizes products and services by similarity or material composition, regardless of the industry classification of the producing establishment. This system is unique to the PPI and does not match any other standard coding structure. In all, PPI publishes more than 3,700 commodity price indexes for goods and about 800 for services (seasonally adjusted and not seasonally adjusted), organized by product, service, and end use. Commodity-based Final Demand-Intermediate Demand (FD-ID) System. Commodity-based FD-ID price indexes regroup commodity indexes for goods, services, and construction at the subproduct class (six-digit) level, according to the type of buyer and the amount of physical processing or assembling the products have undergone. The PPI publishes over 600 FD-ID indexes (seasonally adjusted and not seasonally adjusted) measuring price change for goods, services, and construction sold to final demand and to intermediate demand. The FD-ID system replaced the PPI stage-of-processing (SOP) system as PPI's primary aggregation model with the release of data for January 2014. The FD-ID system expands coverage in its aggregate measures beyond that of the SOP system by incorporating indexes for services, construction, exports, and government purchases. For more information, visit: https://www.bls.gov/ppi

Producer Prices in the United States decreased to 149.16 points in August from 149.34 points in July of 2025. This dataset provides the latest reported value for - United States Producer Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This table contains figures on the average price development of the selling prices, the import prices and the domestic consumption of industrial products with a base year of 2015=100. This data is available for both domestic and foreign sales. The products are classified based on the goods classification PRODCOM (PRODuction COMmunautaire).

Data available from January 2012 up to and including December 2023.

Status of the figures: The data for August 2023 up to and including December 2023 and the 2023 annual rate are provisional. Since this table has been stopped, the data is no longer made definitive.

Changes as of March 6th 2024 None, this table is stopped.

When will new figures be published? The results in this series are based on 2015=100. Due to the base shift this table is stopped. Figures based on 2021=100 are published in table Producer Price Index (PPI), output and importprices by product, 2021=100. Further information, see Base Year Revision Industrial Producer Price Index, 2021=100 in paragraph 3.

Context

The US Bureau of Labor Statistics monitors and collects day-to-day information about the market price of raw inputs and finished goods, and publishes regularized statistical assays of this data. The Consumer Price Index and the Producer Price Index are its two most famous products. The former tracks the aggregate dollar price of consumer goods in the United States (things like onions, shovels, and smartphones); the latter (this dataset) tracks the cost of raw inputs to the industries producing those goods (things like raw steel, bulk leather, and processed chemicals).

The US federal government uses this dataset to track inflation. While in the short term the raw dollar value of producer inputs may be volatile, in the long term it will always go up due to inflation --- the slowly decreasing buying power of the US dollar.

Content

This dataset consists of a packet of files, each one tracking regularized cost of inputs for certain industries. The data is tracked-month to month with an index out of 100.

Acknowledgements

This data is published online by the US Bureau of Labor Statistics.

Inspiration

• How does the Producer Price Index compare against the Consumer Price Index?
• What have the largest spikes in input costs been, historically? Can you determine why they occurred?
• What is the overall price index trend amongst US producers?

Producer Prices in the United States increased 2.60 percent in August of 2025 over the same month in the previous year. This dataset provides - United States Producer Prices Change - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Producer Price Index by Commodity: All Commodities (PPIACO) from Jan 1913 to Aug 2025 about commodities, PPI, inflation, price index, indexes, price, and USA.

This table contains figures on the average price development of the selling prices, the import prices and the domestic consumption of industrial products with a base year of 2021=100. This data is available for both domestic and foreign sales. The products are classified based on the goods classification PRODCOM (PRODuction COMmunautaire).

Data available from: January 2018

Status of the figures: The figures in this table are provisional during five months.

Changes as of August 29th 2025 Figures of July 2025 have been added.

When will new figures be published? New figures will be published not later than 30 days after the period under review.

This table contains figures on the average price development of the selling prices of Dutch industrial products with base year 2015=100. The monthly price developments are shown for both domestic and foreign sales. The data is further subdivided into a number of branches by economic activity SIC2008 of Statistics Netherlands.

Data available from January 2012 up to and including December 2023

Status of the figures: The data for August 2023 up to and including December 2023 and the 2023 annual rate are provisional. Since this table has been stopped the data is no longer made definitive.

Changes as of March 6th 2024 None, this table is stopped.

When will new figures be published? The results in this series are based on 2015=100. Due to the base shift this table is stopped. Figures based on 2021=100 are published in table Producer Price Index; output prices by economic activity SIC 2008, 2021=100. Further information, see Base Year Revision Industrial Producer Price Index, 2021=100 in paragraph 3.

This table shows the price indices, quarterly and yearly changes in prices of services that companies provide. The figures are broken down by type of services according to the Classification of Products by Activity (CPA 2008). For some services, a further breakdown has been made on the basis of market data that differ from the CPA. This breakdown is indicated with a letter after the CPA code.

The base year for all Services producer price indices is 2015. The year average, quarterly and yearly changes are calculated with unrounded figures.

Data available from: 4th quarter 2002 up to and including 2023.

Status of the figures: The figures in this table are final.

Changes as of May 17 2024: None, this table is stopped.

When will new figures be published? Not applicable anymore. This table was discontinued on May 17, 2024 and continued as Services producer price index (SPPI); index 2021=100. See paragraph 3.

The Services producer price indices publication schedule can be downloaded as an Excel file under section: 3 relevant articles. More information about the pricing method can be found in the video under section: 3 relevant articles.

Producer Price Inflation MoM in the United States decreased to -0.10 percent in August from 0.70 percent in July of 2025. This dataset includes a chart with historical data for the United States Producer Price Inflation MoM.

This data collection contains the data sets related to human (9606) that were previously deposed as separate datasets in STRING ver.10.5 before changing the download files structure with release of ver.11.0.

Producer Prices in France increased 0.40 percent in July of 2025 over the same month in the previous year. This dataset provides the latest reported value for - France Producer Prices Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Private Participation in Infrastructure (PPI) Project Database has data on over 6,400 infrastructure projects in 137 low- and middle-income countries. The database is the leading source of PPI trends in the developing world, covering projects in the energy, transport, water and sewerage, ICT backbone, and Municipal Solid Waste (MSW) sectors (MSW data includes projects since 2008) Projects include management or lease contracts, concessions, greenfield projects, and divestitures. The database records contractual arrangements for public infrastructure projects in low- and middle-income countries (as classified by the World Bank) that have reached financial closure, in which private parties assume operating risks. Projects included in the database do not have to be entirely privately owned, financed or operated. Some have public participation as well. With few exceptions, the investment amounts in the database represent the total investment commitments entered into by the project entity at the beginning of the project (at contract signature or financial closure), not the planned or executed annual investments. For projects that involve investments, the database figures reflect total project investments encompassing the shares attributable to both the private and the public parties.

Producer Price Indices (PPIs) are a series of economic indicators that measure the price movement of goods bought and sold by UK manufacturers.

Protein-protein interactions are key to many biological processes. Computational methodologies devised to predict protein-protein interaction (PPI) sites on protein surfaces are important tools in providing insights into the biological functions of proteins and in developing therapeutics targeting the protein-protein interaction sites. One of the general features of PPI sites is that the core regions from the two interacting protein surfaces are complementary to each other, similar to the interior of proteins in packing density and in the physicochemical nature of the amino acid composition. In this work, we simulated the physicochemical complementarities by constructing three-dimensional probability density maps of non-covalent interacting atoms on the protein surfaces. The interacting probabilities were derived from the interior of known structures. Machine learning algorithms were applied to learn the characteristic patterns of the probability density maps specific to the PPI sites. The trained predictors for PPI sites were cross-validated with the training cases (consisting of 432 proteins) and were tested on an independent dataset (consisting of 142 proteins). The residue-based Matthews correlation coefficient for the independent test set was 0.423; the accuracy, precision, sensitivity, specificity were 0.753, 0.519, 0.677, and 0.779 respectively. The benchmark results indicate that the optimized machine learning models are among the best predictors in identifying PPI sites on protein surfaces. In particular, the PPI site prediction accuracy increases with increasing size of the PPI site and with increasing hydrophobicity in amino acid composition of the PPI interface; the core interface regions are more likely to be recognized with high prediction confidence. The results indicate that the physicochemical complementarity patterns on protein surfaces are important determinants in PPIs, and a substantial portion of the PPI sites can be predicted correctly with the physicochemical complementarity features based on the non-covalent interaction data derived from protein interiors.

Input and output price indices for the UK, providing months when movements were higher, lower or equal.

The production price index (PPI) for construction materials and components in the United States decreased slightly in 2024. Up until 2020, construction prices had been rising fairly steadily. However, in the years after that construction producer prices have been very unstable. Production price index A PPI of *** in 2022, indicates that the real-world price has risen by *** percent in comparison to the base year - 1982 in this case. Similarly, under the same baseline, the PPI for construction machinery and equipment has also risen steadily until 2018. Like all prices, there are regional differences within the United States. The PPI acts as a measurement for the average changes in prices that domestic producers receive for their output. In the United States, the PPI is one of the oldest continuous statistical datasets published by the government. Common construction materials Some building materials are essential to construction work, and the decision on which to use is important for the life and the endurance of the building. Materials such as cement, steel, and sand are essential to many construction projects. The production of cement is tightly linked to the demand that comes from the construction industry. The durability and potency of steel gives it an advantage over wood and concrete, providing buildings with a higher resistance but a cheaper price tag. Sand is commonly used in buildings, but it is especially common in roads that require stones of various grades and granulation.

Producer Prices in India increased to 155.20 points in August from 154.40 points in July of 2025. This dataset provides the latest reported value for - India Producer Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Germany Producer Price Index(PPI) data was reported at 127.100 2021=100 in Mar 2025. This records a decrease from the previous number of 128.000 2021=100 for Feb 2025. Germany Producer Price Index(PPI) data is updated monthly, averaging 88.300 2021=100 from Jan 2000 (Median) to Mar 2025, with 303 observations. The data reached an all-time high of 142.300 2021=100 in Sep 2022 and a record low of 68.700 2021=100 in Feb 2000. Germany Producer Price Index(PPI) data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.I033: Producer Price Index: 2021=100.

The datasets contains information about protein-protein interactions (PPI) and protein-protein complex interactions (PCI) in human. It was received by querying the IntAct database based on the criteria that the organism is human and the confidence level of the interaction is based on MI score ≥ 0.45 The confidence level of each interaction is characterised by IntAct MI score. The result was downloaded from IntAct molecular interaction database version 4.2.6 https://www.ebi.ac.uk/intact/.