The price index of natural gas dropped sharply in October 2022 after having reached around 893 points in August 2022 relative to the base year of 2016. By August 2024, coal had the highest consumer price index of the selected commodities at 196.6. In other words, coal prices worldwide were nearly two times higher in that month than in 2016. The cost of several commodities, especially energy resources, rose at the end of February 2022 after the Russian invasion of Ukraine.

In 2023, the PPI stood at 255.73, a sizable decrease from the previous year. The Producer Price Index (PPI) program measures the average change over time in the selling prices received by domestic producers for their output. The prices included in the PPI are from the first commercial transaction for many products and some services. The monthly Producer Price index can be found here.

Consumer Price Index for All Urban Consumers: Commodities less food in Portland-Salem, OR-WA (CMSA) (DISCONTINUED) was 151.28300 Index 1982-84=100 in January of 2017, according to the United States Federal Reserve. Historically, Consumer Price Index for All Urban Consumers: Commodities less food in Portland-Salem, OR-WA (CMSA) (DISCONTINUED) reached a record high of 161.47800 in January of 2013 and a record low of 100.10000 in January of 1986. Trading Economics provides the current actual value, an historical data chart and related indicators for Consumer Price Index for All Urban Consumers: Commodities less food in Portland-Salem, OR-WA (CMSA) (DISCONTINUED) - last updated from the United States Federal Reserve on March of 2025.

Boston-Brockton-Nashua, MA-NH-ME-CT (CMSA) - Consumer Price Index for All Urban Consumers: Commodities less food in Boston-Cambridge-Newton, MA-NH (CBSA) was 163.97400 Index 1982-84=100 in January of 2021, according to the United States Federal Reserve. Historically, Boston-Brockton-Nashua, MA-NH-ME-CT (CMSA) - Consumer Price Index for All Urban Consumers: Commodities less food in Boston-Cambridge-Newton, MA-NH (CBSA) reached a record high of 171.46700 in January of 2012 and a record low of 100.60000 in January of 1986. Trading Economics provides the current actual value, an historical data chart and related indicators for Boston-Brockton-Nashua, MA-NH-ME-CT (CMSA) - Consumer Price Index for All Urban Consumers: Commodities less food in Boston-Cambridge-Newton, MA-NH (CBSA) - last updated from the United States Federal Reserve on March of 2025.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Commodities in Boston-Cambridge-Newton, MA-NH (CBSA) (CUUSA103SAC) from 1984 to 2024 about Boston, ME, NH, CT, MA, urban, consumer, CPI, commodities, inflation, price index, indexes, price, and USA.

The global energy price index stood at around 106.9 in 2023. This was a decrease of 45 points compared to the previous year, when fuel and power demand increased as the economies recovered from the coronavirus pandemic. For 2024, forecasts suggest the price index would decrease to 104. Price indices show the development of prices for goods or services over time relative to a base year. Commodity prices may be dependent on various factors, from supply and demand to overall economic growth. Electricity prices around the world As with overall fuel prices, electricity costs for end users are dependent on power infrastructure, technology type, domestic production, and governmental levies and taxes. Generally, electricity prices are lower in countries with great coal and gas resources, as those have historically been the main sources for electricity generation. This is one of the reasons why electricity prices are lowest in resource-rich countries such as Qatar, Russia, and the United States. Meanwhile, many European governments that have introduced renewable surcharges to support the deployment of solar and wind power and are at the same time dependent on fossil fuels imports, have the highest household electricity prices. Benchmark oil prices One of the commodities found within the energy market is oil. Oil is the main raw material for all common motor fuels, from gasoline to kerosene. In resource-poor and remote regions such as Alaska, Hawaii, and Cyprus, it is also one of the largest sources for electricity generation. Benchmark oil prices such as Europe’s Brent, the United States' WTI, or the OPEC basket are often used as indicators for the overall energy price development.

Boston-Brockton-Nashua, MA-NH-ME-CT (CMSA) - Consumer Price Index for All Urban Consumers: Commodities in Boston-Cambridge-Newton, MA-NH (CBSA) was 216.66100 Index 1982-84=100 in January of 2022, according to the United States Federal Reserve. Historically, Boston-Brockton-Nashua, MA-NH-ME-CT (CMSA) - Consumer Price Index for All Urban Consumers: Commodities in Boston-Cambridge-Newton, MA-NH (CBSA) reached a record high of 216.66100 in January of 2022 and a record low of 36.50000 in January of 1967. Trading Economics provides the current actual value, an historical data chart and related indicators for Boston-Brockton-Nashua, MA-NH-ME-CT (CMSA) - Consumer Price Index for All Urban Consumers: Commodities in Boston-Cambridge-Newton, MA-NH (CBSA) - last updated from the United States Federal Reserve on March of 2023.

Boston-Brockton-Nashua, MA-NH-ME-CT (CMSA) - Consumer Price Index for All Urban Consumers: Transportation Commodities Less Motor Fuel in Boston-Cambridge-Newton, MA-NH (CBSA) was 142.72600 Index Dec 2009=100 in January of 2022, according to the United States Federal Reserve. Historically, Boston-Brockton-Nashua, MA-NH-ME-CT (CMSA) - Consumer Price Index for All Urban Consumers: Transportation Commodities Less Motor Fuel in Boston-Cambridge-Newton, MA-NH (CBSA) reached a record high of 142.72600 in January of 2022 and a record low of 100.71800 in May of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Boston-Brockton-Nashua, MA-NH-ME-CT (CMSA) - Consumer Price Index for All Urban Consumers: Transportation Commodities Less Motor Fuel in Boston-Cambridge-Newton, MA-NH (CBSA) - last updated from the United States Federal Reserve on March of 2025.

During the last quarter of 2024, sulfur prices in the United States reached 131 USD/MT in December. Due to robust agricultural demand, high refinery utilization, and supply constraints, the market remained optimistic in Q4 2024. Due to severe winter weather and strikes at important Canadian ports, rail transportation was interrupted, resulting in a shortage.

Explore IMARC's latest publication, “Sulphur Prices, Trend, Chart, Demand, Market Analysis, News, Historical and Forecast Data Report 2025 Edition,” presents a detailed examination of the sulphur pricing,, providing insights into both global and regional trends that are shaping prices.

During the last quarter of 2024, the cassava starch prices in the United States reached 866.4 USD/MT in December. The prices declined by around 0.75% compared to the same quarter last year. A multitude of reasons, such as drought and economic recovery, influenced the prices. Moreover, the rising popularity of convenience foods boosts demand for cassava starch in the United States, thus impacting the prices.

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This table shows the consumption and producer prices of energy.

Energy consumption figures for total energy commodities, natural gas, crude oil, hard coal and other energy commodities are primary consumption. Figures for electricity are final consumption.

The figures for producer prices refer to energy available for domestic consumption. This is the price of producers or importers for the delivery of the energy product.

Data is available from January 1995 up to December 2017

Status of the figures

Energy consumption: All figures from 1995 up to 2014 are definite. Figures of 2015 up to 2016 are revised provisional and figures of 2017 are provisional.

Producer price: All figures from 1995 up to July 2017 are definite. Figures from August 2017 are provisional.

The status of the figures will not be changed, because this table has been discontinued.

Changes as of January 31th 2019: None. This table has been discontinued. Because of the change of the baseline of the producer price index, this table cannot be continued.

When will new figures be published? Not applicable anymore.

Boston-Brockton-Nashua, MA-NH-ME-CT (CMSA) - Consumer Price Index for All Urban Consumers: Education and Communication Commodities in Boston-Cambridge-Newton, MA-NH (CBSA) was 67.19600 Index Dec 2009=100 in January of 2022, according to the United States Federal Reserve. Historically, Boston-Brockton-Nashua, MA-NH-ME-CT (CMSA) - Consumer Price Index for All Urban Consumers: Education and Communication Commodities in Boston-Cambridge-Newton, MA-NH (CBSA) reached a record high of 105.06300 in March of 2010 and a record low of 62.60300 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Boston-Brockton-Nashua, MA-NH-ME-CT (CMSA) - Consumer Price Index for All Urban Consumers: Education and Communication Commodities in Boston-Cambridge-Newton, MA-NH (CBSA) - last updated from the United States Federal Reserve on March of 2025.

In 2023, the annual change of the PPI amounted to -3.3 percent. The PPI for commodities stood at 255.73 in 2023. The Producer Price Index (PPI) program measures the average change over time in the selling prices received by domestic producers for their output. The prices included in the PPI are from the first commercial transaction for many products and some services.

During the last quarter of 2024, methylamine prices in China reached 732 USD/MT in December. The market in the country stayed vibrant by striking a balance between stable production levels and variable raw material costs. Due to rising domestic and international demand, the pharmaceutical industry continued to grow rapidly.

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During the last quarter of 2024, the lithium carbonate prices in the USA reached 10,842 USD/MT in December. As per the lithium carbonate price chart, due to excess and little demand, the market saw fluctuations. At first, prices stayed constant, but when supply exceeded demand, they began to decline. The market was soon dominated by lower-priced cargoes after a brief price spike brought on by expensive imports.

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During the last quarter of 2024, the titanium prices in the United States reached 2960 USD/MT (all values for titanium dioxide) in December. The prices rose by around 19.59% compared to the same quarter last year. The prices are rising due to a combination of factors, including supply chain issues, increased demand, and geopolitical tensions. Moreover, supply chain disruptions have contributed to price inflation.

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NASS Data Visualization provides a dynamic web query interface supporting searches by Commodity (e.g. Cotton, Corn, Farms & Land, Grapefruit, Hogs, Oranges, Soybeans, Wheat), Statistic type (automatically refreshed based upon choice of Commodity - e.g. Inventory, Head, Acres Planted, Acres Harvested, Production, Yield) to generate chart, table, and map visualizations by year (2001-2016), as well as a link to download the resulting data in CSV format compatible for updating databases and spreadsheets. Resources in this dataset:Resource Title: NASS Data Visualization web site. File Name: Web Page, url: https://nass.usda.gov/Data_Visualization/index.php Query interface with visualization of results as charts, tables, and maps.

In November 2024, the producer price index (PPI) in the United States was the highest in the four countries/areas under consideration. That month, its index score stood at above 146, compared to roughly 127 in the Euro Area, which was the second highest in the four areas. Contrarily, China is struggling with a decreasing PPI. The producer price index (PPI) measures the average change over time in the selling prices received by domestic producers for their output.

This dataset contains the common Map Unit attributes for each polygon within the gSSURGO database plus NRCS derived attributes from a data summary table called the National Valu Added Look Up (valu) Table #1. It is comprised of 57 pre-summarized or "ready to map" derived soil survey geographic database attributes including soil organic carbon, available water storage, crop productivity indices, crop root zone depths, available water storage within crop root zone depths, drought vulnerable soil landscapes, and potential wetland soil landscapes. Related metadata values for themes are included. These attribute data are pre-summarized to the map unit level using best practice generalization methods intended to meet the needs of most users. The generalization methods include map unit component weighted averages and percent of the map unit meeting a given criteria. These themes were prepared to better meet the mapping needs of users of soil survey information and can be used with both SSURGO and Gridded SSURGO (gSSURGO) datasets. Gridded SSURGO (gSSURGO) Database is derived from the official Soil Survey Geographic (SSURGO) Database. SSURGO is generally the most detailed level of soil geographic data developed by the National Cooperative Soil Survey (NCSS) in accordance with NCSS mapping standards. The tabular data represent the soil attributes, and are derived from properties and characteristics stored in the National Soil Information System (NASIS). The gSSURGO data were prepared by merging traditional SSURGO digital vector map and tabular data into State-wide extents, and adding a State-wide gridded map layer derived from the vector, plus a new value added look up (valu) table containing "ready to map" attributes. The gridded map layer is offered in an ArcGIS file geodatabase raster format. The raster and vector map data have a State-wide extent. The raster map data have a 10 meter cell size that approximates the vector polygons in an Albers Equal Area projection. Each cell (and polygon) is linked to a map unit identifier called the map unit key. A unique map unit key is used to link to raster cells and polygons to attribute tables, including the new value added look up (valu) table that contains additional derived data.VALU Table Content:The map unit average Soil Organic Carbon (SOC) values are given in units of g C per square meter for eleven standard layer or zone depths. The average thickness of soil map unit component horizons used in these layer/zone calcuations is also included. The standard layers include: 0-5cm, 5-20cm, 20-50cm, 50-100cm, 100-150cm, and 150-150+cm (maximum reported soil depth). The standard zones include: 0-5cm (also a standard layer), o-20cm, 0-30cm, 0-100cm, and 0-150+cm (full reported soil depth). Zero cm represents the soil surface.The map unit average Available Water Storage (AWS) values are given in units of millimeters for eleven standard layer or zone depths. The average thickness of soil map unit component horizons used in these layer/zone calcuations is also included. The standard layers include: 0-5cm, 5-20cm, 20-50cm, 50-100cm, 100-150cm, and 150-150+cm (maximum reported soil depth). The standard zones include: 0-5cm (also a standard layer), 0-20cm, 0-30cm, 0-100cm, and 0-150+cm (full reported soil depth). Zero cm represents the soil surface.The map unit average National Commodity Crop Productivity Index (NCCPI) values (low index values indicate low productivity and high index values indicate high productivity) are provided for major earthy components. NCCPI values are included for corn/soybeans, small grains, and cotton crops. Of these crops, the highest overall NCCPI value is also identified. Earthy components are those soil series or higher level taxa components that can support crop growth. Major components are those soil components where the majorcompflag = 'Yes' in the SSURGO component table. A map unit percent composition for earthy major components is provided. See Dobos, R. R., H. R. Sinclair, Jr, and M. P. Robotham. 2012. National Commodity Crop Productivity Index (NCCPI) User Guide, Version 2. USDA-NRCS. Available at: ftp://ftp-fc.sc.egov.usda.gov/NSSC/NCCPI/NCCPI_user_guide.pdfThe map unit average root zone depth values for commodity crops are given in centimeters for major earthy components. Criteria for root-limiting soil depth include: presence of hard bedrock, soft bedrock, a fragipan, a duripan, sulfuric material, a dense layer, a layer having a pH of less than 3.5, or a layer having an electrical conductivity of more than 12 within the component soil profile. If no root-restricting zone is identified, a depth of 150 cm is used to approximate the root zone depth (Dobos et al., 2012). The map unit average available water storage within the root zone depth for major earthy components value is given in millimeters.Drought vulnerable soil landscapes comprise those map units that have available water storage within the root zone for commodity crops that is less than or equal to 6 inches (152 mm) expressed as "1" for a drought vulnerable soil landscape map unit or "0" for a nondroughty soil landscape map unit or NULL for miscellaneous areas (includes water bodies).The potential wetland soil landscapes (PWSL version 1) information is given as the percentage of the map unit (all components) that meet the criteria for a potential wetland soil landscape. See table column (field) description for criteria details. If water was determined to account for 80 or greater percent of a map unit, a value of 999 was used to indicate a water body. This is not a perfect solution, but is helpful to identifying a general water body class for mapping.The map unit sum of the component percentage representative values is also provided as useful metadata. For all valu table columns, NULL values are presented where data are incomplete or not available. How NoData or NULL values and incomplete data were handled during VALU table SOC and AWS calculations:The gSSURGO calculations for SOC and AWS as reported in the VALU table use the following data checking and summarization rules. The guiding principle was to only use the official data in the SSURGO database, and not to make assumptions in case there were some data entry errors. However, there were a few exceptions to this principle if there was a good reason for a Null value in a critical variable, or to accommodate the data coding conventions used in some soil surveys.Horizon depths considerations:If the depth to the top of the surface horizon was missing, but otherwise the horizon depths were all okay, then the depth to the top of the surface horizon (hzdept_r) was set to zero.If the depth to the bottom of the last horizon was missing, and the horizon represented bedrock or had missing bulk density, the depth to the bottom was set to equal to the depth to the top of the same horizon (hzdepb_r = hzdept_r), effectively giving the horizon zero thickness (and thus zero SOC or AWS), but not blocking calculation of other horizons in the profile due to horizon depth errors.Other types of horizon depth errors were considered uncorrectable, and led to all horizon depths for the component being set to a NoData value, effectively eliminating the component from the analysis. The errors included gaps or overlaps in the horizon depths of the soil profile, other cases of missing data for horizon depths, including missing data for the bottom depth of the last horizon if the soil texture information did not indicate bedrock and a bulk density value was coded. The SOC or AWS values were effectively set to zero for components eliminated in this way, so the values at the map unit level could be an underestimate for some soils.Horizon rock fragment considerations:Part of the algorithm for calculating the SOC requires finding the volume of soil that is not rock. This requires three SSURGO variables that indicate rock fragments (fraggt10_r, frag3to10_r, and sieveno10_r). If the soil is not organic, and any of these are missing, then the ratio of the volume of soil fines to the total soil volume was set to “NoData†, and the SOC results were coded as “NoData†and effectively set to zero for the horizon. If the soil is organic, then it may be logical that no measurement of rock fragments was made, and default values for the “zero rock†situation was assumed for these variables (i.e., fraggt10_r = 0, frag3to10_r = 0, sieveno10_r = 100). Organic soils were identified by an “O†in the horizon designator or the texture code represented “Peat†, “Muck†or “Decomposed Plant Material†. If all three of the fragment variables were present, but indicated more than 100% rock, then 100% rock was assumed (zero volume of soil and thus zero for SOC). The rock fragment variables do not influence the AWS calculation because rock content is already accounted for in the available water capacity (awc_r) variable at the horizon level.Horizon to component summary:To summarize data from the horizon level to the component level, the evaluation proceeded downward from the surface. If a valid value for AWS could not be calculated for any horizon, then the result for that horizon and all deeper horizons was set to NoData. The same rule was separately applied to the SOC calculation, so it was possible to have results for SOC but not AWS, or vice versa.Component to mapunit summary:To summarize data from the component level to the map unit level, the component percentages must be valid. There are tests both of the individual component percentage (comppct_r) data, and also of the sum of the component percentages at the map unit level (mu_sum_comppct_r). For the gSSURGO VALU table, the following rules were applied for the individual components: 1) The comppct_r must be in the range from 0 to 100, inclusive. 2) Individual components with a comppct_r that was Null (nothing coded) were ignored. A zero comppct_r value excludes

The average 2023 price of avocado oil in the USA was 10746 USD/MT.

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