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?

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 increased to 149.78 points in September from 149.32 points in August 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.

United States PPI W: CT: ID: PG: Materials & Components for Construction (MC) data was reported at 10.891 % in 2024. This records an increase from the previous number of 10.782 % for 2023. United States PPI W: CT: ID: PG: Materials & Components for Construction (MC) data is updated yearly, averaging 10.125 % from Dec 2014 (Median) to 2024, with 11 observations. The data reached an all-time high of 10.891 % in 2024 and a record low of 8.787 % in 2017. United States PPI W: CT: ID: PG: Materials & Components for Construction (MC) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I079: Producer Price Index: FD-ID System: Intermediate Demand: Commodity Type: Weights.

United States PPI: Mfg: CE: Semiconductor & Other Electronic Components (SO) data was reported at 58.199 Dec1984=100 in Apr 2025. This records a decrease from the previous number of 58.383 Dec1984=100 for Mar 2025. United States PPI: Mfg: CE: Semiconductor & Other Electronic Components (SO) data is updated monthly, averaging 77.500 Dec1984=100 from Dec 1984 (Median) to Apr 2025, with 485 observations. The data reached an all-time high of 105.700 Dec1984=100 in Apr 1993 and a record low of 53.800 Dec1984=100 in Oct 2020. United States PPI: Mfg: CE: Semiconductor & Other Electronic Components (SO) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I: Producer Price Index: by Industry: Manufacturing: Computer and Electronic Products.

This dataset shows the Producer price index (2010=100) for local production by commodity sections (SITC 4), 2010-2023 (Jan-Jul), Malaysia (Monthly) Footnote Sections Weight Total 100.00 Food 7.454 Beverages & Tobacco 1.307 Crude, Materials, Inedible 5.769 Mineral Fuels, Lubricants,etc. 21.075 Animal & Vegetables Oils & Fats 9.287 Chemicals 8.557 Manufactured Goods 13.672 Machinery & Transport Equipment 25.611 Miscellaneous Manufactured 7.268 Commencing reference month January 2018, the Producer Price Index uses updated basket of goods based on the Economics Census of 2016 and from relevant government agencies. The new basket contains 1063 products. Updating of basket of goods will ensure that the products selected for PPI computation can measures the average price change as imposed by producers of goods in an industry. Source: Department of Statistics, Malaysia No. of Views : 180

PPI: Commodity: sa: ID: PG: Components: Construction data was reported at 122.100 Nov2009=100 in Oct 2018. This records an increase from the previous number of 121.500 Nov2009=100 for Sep 2018. PPI: Commodity: sa: ID: PG: Components: Construction data is updated monthly, averaging 111.050 Nov2009=100 from Nov 2009 (Median) to Oct 2018, with 108 observations. The data reached an all-time high of 122.100 Nov2009=100 in Oct 2018 and a record low of 100.100 Nov2009=100 in Dec 2009. PPI: Commodity: sa: ID: PG: Components: Construction data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I024: Producer Price Index: FD-ID System: Intermediate Demand: Commodity Type: Seasonally Adjusted.

A comprehensive selection of data on input and output indices. Contains producer price indices of materials and fuels purchased and output of manufacturing industry by broad sector.

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.

This dataset shows the Producer Price Index (2010=100) for local production by stage of processing, 2010 - 2023 (Jan-Jul), Malaysia (Monthly) Footnote Weight: Divisions Weight Total 100.000 Crude materials for further processing 16.410 Foodstuffs and feedstuffs 3.243 Non-food materials 13.167 Non-food materials except fuel 3.972 Crude fuel 9.195 Intermediate materials supplies and components 56.119 Materials and components for manufacturing 29.589 Materials for food manufacturing 4.468 Materials for others manufacturing 25.121 Materials and components for construction 2.896 Processed fuels and lubricants 11.880 Containers 0.579 Supplies 11.175 Manufacturing industries 6.793 Non-manufacturing industries 4.382 Feeds 0.564 Other supplies 3.818 Finished goods 27.471 Finished consumer goods 11.511 Finished consumer foods 3.508 Crude 0.265 Processed 3.243 Finished consumer goods excluding foods 8.003 Durable 1.887 Semi-durable 1.560 Non-durable 4.556 Capital equipment 15.960 Manufacturing industries 6.037 Non-manufacturing industries 9.923 Source: Department of Statistics Malaysia No. of Views : 127

United States PPI: Weights: RP: Plastic: MG: Other Parts & Components data was reported at 0.090 % in 2024. This records a decrease from the previous number of 0.091 % for 2023. United States PPI: Weights: RP: Plastic: MG: Other Parts & Components data is updated yearly, averaging 0.129 % from Dec 2007 (Median) to 2024, with 18 observations. The data reached an all-time high of 0.157 % in 2009 and a record low of 0.089 % in 2022. United States PPI: Weights: RP: Plastic: MG: Other Parts & Components data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I068: Producer Price Index: by Commodities: Weights.

United States PPI: Weights: MM: MT: Cans & Can Components (CC) data was reported at 0.248 % in 2024. This records a decrease from the previous number of 0.251 % for 2023. United States PPI: Weights: MM: MT: Cans & Can Components (CC) data is updated yearly, averaging 0.229 % from Dec 2007 (Median) to 2024, with 18 observations. The data reached an all-time high of 0.262 % in 2009 and a record low of 0.202 % in 2012. United States PPI: Weights: MM: MT: Cans & Can Components (CC) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I068: Producer Price Index: by Commodities: Weights.

Producer Prices in the United States increased 2.70 percent in September 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.

Abstract

Transition to free economic structure and, as a consequence, processes of privatization of large agricultural and industrial organizations and birth of numerous new economic entities led to significant changes in quantitative and qualitative characteristics of industrial organizations and peasant farms in RA. During the last decade and especially the last 4-5 years, the structural changes, in their turn, caused also certain complications in the mentioned fields in terms of ensuring collection, comprehensiveness and reliability of statistical data on prices and pricing.

In particular, in case of radical structural changes, international recommendations require the weights upon which price indexes are based to be periodically updated. In order to have a real picture and dynamics of the present situation on creation of indicators for new base year, i.e. collection of information on set of goods-representatives, their weights, average annual prices, prices and price changes, it would be necessary to periodically conduct sample surveys for further improvement of the methodology for price index calculation.

The objectives of the survey were: • to improve the sample, develop a new sample, • to revise the base year and weights, • to receive additional information on prices of sales of industrial, agricultural product and purchase (acquisition of production means) in RA, • to improve methodology for price observation and calculation of price indexes (survey technology, price and other necessary data collection, processing, analyzing), • to revise the base year for producer price indexes, components structure, shares, calculation mechanism, etc., • to derive price indexes that would be in line with the international definitions, standards and classifications, • to complement the NSS RA price indexes database and create preconditions for its regular updating, • to update the information on economic units covered by price indexes calculation, • to ensure use of international standards and classifications in statistics, • to form preconditions for extension of sample observation mechanisms in the state statistics.

Besides the above mentioned, the need of the given survey was also stipulated by the following reasons: - a great mobility of micro-sized, small and medium-sized organizations mainly caused by increased speed of their births, activity and produced commodity changes or deaths that decreases the opportunity to create long-term fixed-base time series of prices and price indexes, - According to the CPA classification coding and recoding activities related to the introduction of Armenian classification of economic activities - NACE (based on the European Communities’ NACE classification).

Geographic coverage

National

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLE DESIGN

Agriculture The sample of the survey was desighned in the conditions of lack of farm register. The number of peasant farms was calculated and derived by database analysis. The number of villages (quotas) selected from each marz was determined taking into account the percent of rural population of marzes. The villages from marz were selected randomly. The peasant farms covered by the survey were selected based on number of privatized plots. The survey was carried out in 200 rural communities selected from 10 marzes, in 5-20 households from each community. Pilot survey was conducted with 1 901 farms in the sample.

Industry The sample frame for the survey was designed as follows: 1. The industrial organizations with share 5 and more percent have been selected by reduction method from fifth level (each subsection) of NACE for whole RA industry. 476 out of 2231 industrial organizations covered by statistical observation were selected for pilot survey.

1. 70 organizations suggested by Industry statistics division of NSS RA and 70 organizations included in state observations on prices conducted previously by the NSS RA (in all 140 organizations), which are considered important and representative for price observation and excluded from the above-mentioned sample, were separated from the general population. These organizations have also been included in sample population of the pilot survey. As it became obvious from further work, the sample covered both the large and medium-sized and the small and micro-sized organizations, which ensured the representativeness of separate branches of industry and organizations by size. As a result, given by the objective of the survey, as well as available financial constraints, the sample population of the pilot survey comprised 616 industrial organizations, the volumes of produced production of whichaccording to the data for January-October of 2006 comprised more than 86% of total volume of RA industrial production. 165 (92.7%) out of 178 classes of NACE were covered by the sample.

Mode of data collection

Face-to-face [f2f]

Producer Price Inflation MoM in the United States increased to 0.30 percent in September from -0.10 percent in August of 2025. This dataset includes a chart with historical data for the United States Producer Price Inflation MoM.

A look at the producer price index for transportation and its components as a measure of inflation faced by consumers.

United States PPI: Weights: MM: MT: CC: Aluminum Cans & Can Components data was reported at 0.149 % in 2024. This records an increase from the previous number of 0.148 % for 2023. United States PPI: Weights: MM: MT: CC: Aluminum Cans & Can Components data is updated yearly, averaging 0.148 % from Dec 2007 (Median) to 2024, with 18 observations. The data reached an all-time high of 0.157 % in 2022 and a record low of 0.117 % in 2013. United States PPI: Weights: MM: MT: CC: Aluminum Cans & Can Components data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I068: Producer Price Index: by Commodities: Weights.

Producer Prices in India decreased to 154.80 points in October from 154.90 points in September 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.

Services producer price inflation (SPPI) records showing higher, lower and equal to quarterly service Producer Price Index movements for selected UK services sectors.

United States PPI: Weights: RP: Plastic: MG: Foam Components for Furniture data was reported at 0.048 % in 2024. This records a decrease from the previous number of 0.049 % for 2023. United States PPI: Weights: RP: Plastic: MG: Foam Components for Furniture data is updated yearly, averaging 0.053 % from Dec 2007 (Median) to 2024, with 18 observations. The data reached an all-time high of 0.075 % in 2008 and a record low of 0.045 % in 2020. United States PPI: Weights: RP: Plastic: MG: Foam Components for Furniture data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I068: Producer Price Index: by Commodities: Weights.