Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
GSCI fell to 719.33 Index Points on March 27, 2026, down 0.11% from the previous day. Over the past month, GSCI's price has risen 13.77%, and is up 28.34% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. GSCI Commodity Index - values, historical data, forecasts and news - updated on March of 2026.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
Graph and download economic data for Global Price Index of All Commodities (PALLFNFINDEXQ) from Q1 1992 to Q4 2025 about World, commodities, price index, indexes, and price.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
CRB Index rose to 457.52 Index Points on March 26, 2026, up 1.55% from the previous day. Over the past month, CRB Index's price has risen 16.06%, and is up 22.67% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on March of 2026.
Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
24-25 Winter Term
This readme file was generated 2025-03-01 : 2025-03-16
Title of Dataset: Economic Trends in the US
Author Contact Information Name: Rapinan, Clyde Baron Institution: Drexel University Email: cer344@drexel.edu
Author Contact Information Name: Watson, Cam Institution: Drexel University Email: cw3332@drexel.edu
Author Contact Information Name: Smith, Madison Rae Institution: Drexel University Email: mrs539@drexel.edu
Author Contact Information Name: Nguyen, Ylan Institution: Drexel University Email: yn78@drexel.edu
This dataset has been sourced from the US Treasury Department (USTD), and the US Bureau of Labor Statistics (BLS). These sources contain data generated from the US Bureau of Economic Analysis and the US Census. The data sources cover areas of business and finance, consumer and producer price indexes, population income and employment rates, rates of exchange, national GDP, and various interest rates. The nature of this dataset is a comparison of interest rates of treasury bonds in the US (source: USTD) and consumer price index of popular goods (source: BLS). Users can compare the cost over time of popular food items to the interest rates of economic markers.
Dataset time: range 2014-1 : 2023-12 Dataset size: 33 columns (US Treasury data and Commodities) and 122 rows (interest rates and prices)
Dates of data collection: 2025-03-01 : 2025-03-16
Information about funding sources that supported the collection of the data: none
Licenses/restrictions placed on the data: none
Links to publications that cite or use the data: none
Links to other publicly accessible locations of the data: none
Links/relationships to ancillary data sets: USTD, and BLS all provide information on the sources of data as well as resources for analysis and interpretation.
Recommended citation for this dataset: DSCI.511.900 Group 1, ‘Economic Data in the US’, 2025-03-16, version 1.0
File List: TermProject_README.txt: datasheet and user guide for ‘Economic Data in the US’ dataset, DSCI_511_TermProject.ipynb: python script containing API objects for data querying and data frame construction, DSCI.511.TermProject_Presentation: slidedeck with project overview
Relationship between files, if important: Both the README and the DSCI.511.TermProject_Presentation.pptx give context to the dataset, its creation and its use.
Additional related data collected that was not included in the current data package: none
Description of methods used for collection/generation of data: Group 1 utilized documentation found on USTD’s and BLS’s API user guides to explore complementary and relevant data. Once we understood the nature of available data, we discussed potential uses for our dataset. We were guided by availability, with a preference for open-source data, although other avenues were explored.
Methods for preprocessing the data: Data were generated from collected data at the USTD, the US Bureau of Economic Analysis, the BLS, and the US Census. By using data generated with privacy and accessibility in mind, we minimized preprocessing around these issues. The most important preprocessing we had to do was to ensure timeframes between data were of comparable periods: for example, we initially included data from the Federal Reserve Economic Data (FRED), but ultimately abandoned due to time period inconsistencies when compared to the USTD and the BLS data. We parsed the returned JSON file from the API requests, converted it to a pandas dataframe, flattened the data fields, and determined what dates were common among the two sources. We then merged the dataframes from multiple endpoints into one cohesive dataframe based on shared month and year values. Once merged we replaced empty fields with -1 to differentiate between absent data and data with a zero value. We eliminated series which were missing more than half of their data points within the given timeframe.
Describe any quality-assurance procedures performed on the data: Data were sampled for logic errors and missing values. Data from the BLS required significant ‘nan’ fields to be replaced with zeros, which led us to filtering the series we included to maximize usability. Beyond this preprocessing, we performed logic checks and inspected data for readability.
Limitations: Our data sources contained more data related to our dataset than we could justify including in our collection process. We chose the most accessible and revealing combination of data, however it only represents a sampling of larger data.
Challenges in Data Collection: Understanding what data would provide the most useful dataset to the most users was the most challenging aspect of creating this dataset. The disparities in timescales...
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
Graph and download economic data for Index of Spot Market Prices of 28 Commodities for United States (M0495AUSM346NNBR) from Jan 1935 to Oct 1952 about commodities, price index, indexes, price, and USA.
Facebook
Twitterhttps://www.ycharts.com/termshttps://www.ycharts.com/terms
View monthly updates and historical trends for US Producer Price Index: All Commodities. from United States. Source: Bureau of Labor Statistics. Track eco…
Facebook
Twitterhttps://www.usa.gov/government-works/https://www.usa.gov/government-works/
Time series of major commodity prices and indices including iron, cooper, wheat, gold, oil
Dataset contains Monthly prices for 53 commodities and 10 indexes, starting from 1980 to 2016, Last updated on march 17, 2016. The reference year for indexes are 2005 (meaning the value of indexes are 100 and all other values are relative to that year).
This is a challenging dataset with a fair share of NaN values. Some really good potential for EDA and also Time Series Analysis!
Facebook
Twitterhttps://www.statcan.gc.ca/en/terms-conditions/open-licencehttps://www.statcan.gc.ca/en/terms-conditions/open-licence
This table contains 5 series, with data for years 1972 - 2010 (not all combinations necessarily have data for all years), and was last released on 2010-05-12. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) Commodity (5 items: Total; all commodities; Food; Total excluding energy; Energy ...).
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States - Producer Price Index by Commodity: All Commodities was 267.84800 Index 1982=100 in February of 2026, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: All Commodities reached a record high of 280.25100 in June of 2022 and a record low of 10.30000 in February of 1933. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: All Commodities - last updated from the United States Federal Reserve on March of 2026.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Commodity: All Commodities (PPIACO) from Jan 1913 to Feb 2026 about commodities, PPI, inflation, price index, indexes, price, and USA.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Agricultural Price Index: Received by Farmers: Food Commodities data was reported at 88.800 2011=100 in Oct 2018. This records a decrease from the previous number of 90.600 2011=100 for Sep 2018. United States Agricultural Price Index: Received by Farmers: Food Commodities data is updated monthly, averaging 101.000 2011=100 from Jan 2010 (Median) to Oct 2018, with 106 observations. The data reached an all-time high of 126.000 2011=100 in Apr 2014 and a record low of 81.000 2011=100 in Feb 2010. United States Agricultural Price Index: Received by Farmers: Food Commodities data remains active status in CEIC and is reported by National Agricultural Statistics Service. The data is categorized under Global Database’s United States – Table US.I043: Agricultural Price Index.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Consumer Price Index for All Urban Consumers: Commodities in U.S. City Average (CUSR0000SAC) from Jan 1956 to Feb 2026 about urban, consumer, commodities, CPI, inflation, price index, indexes, price, and USA.
Facebook
TwitterIn 2025, the average producer price index (PPI) for all commodities in the United States increased to ******* This reflected an increase of about **** points from the previous year. The PPI program tracks the change in prices received by domestic producers for their products. The prices included in the PPI are from the first commercial transaction for many products and some services.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Commodity: Data Processing and Related Services: Data Management, Information Transformation and Other Services (WPU381103) from Dec 2008 to Feb 2026 about information technology, management, processed, information, commodities, services, PPI, inflation, price index, indexes, price, and USA.
Facebook
Twitterhttps://www.statcan.gc.ca/en/terms-conditions/open-licencehttps://www.statcan.gc.ca/en/terms-conditions/open-licence
This table contains 7 series, with data starting from 1972 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Commodity (7 items: Total; all commodities; Metals and Minerals; Energy; Total excluding energy ...).
Facebook
TwitterFood prices increased at the fastest pace in more than two decades from July 2021 to July 2022. We show that this increase has not been driven by commodity prices but by an increase in consumer spending on food at home and increases in costs along the supply chain. Our results suggest that food inflation could ease if consumers shift more purchases back to food service establishments and if costs in food processing and marketing abate. Conversely, food inflation could remain high if broader measures of inflation persist.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Corn fell to 462 USd/BU on March 27, 2026, down 1.07% from the previous day. Over the past month, Corn's price has risen 6.64%, and is up 1.93% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on March of 2026.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Eggs US fell to 1.28 USD/Dozen on March 26, 2026, down 7.54% from the previous day. Over the past month, Eggs US's price has risen 240.76%, but it is still 56.52% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Eggs US.
Facebook
Twitterhttps://www.ycharts.com/termshttps://www.ycharts.com/terms
View monthly updates and historical trends for US Consumer Price Index: Commodities Less Food And Energy Commodities. from United States. Source: Bureau o…
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
PPI: Chem: AC: Oth Agricultural Chemicals data was reported at 197.400 1982=100 in Jun 2018. This records a decrease from the previous number of 201.100 1982=100 for May 2018. PPI: Chem: AC: Oth Agricultural Chemicals data is updated monthly, averaging 129.850 1982=100 from Jan 1967 (Median) to Jun 2018, with 618 observations. The data reached an all-time high of 202.200 1982=100 in Mar 2018 and a record low of 19.800 1982=100 in Dec 1968. PPI: Chem: AC: Oth Agricultural Chemicals data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I017: Producer Price Index: By Commodities.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
GSCI fell to 719.33 Index Points on March 27, 2026, down 0.11% from the previous day. Over the past month, GSCI's price has risen 13.77%, and is up 28.34% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. GSCI Commodity Index - values, historical data, forecasts and news - updated on March of 2026.