The Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments. The data from the CFS are used by public policy analysts and for transportation planning and decision making to access the demand for transportation facilities and services, energy use, and safety risk and environmental concerns. This dataset provides data for the Hazardous Materials Series.

The 2017 Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments. The data from the CFS are used by public policy analysts and for transportation planning and decision making to access the demand for transportation facilities and services, energy use, and safety risk and environmental concerns. This dataset provides data for the Exports Series.

The Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments. The data from the CFS are used by public policy analysts and for transportation planning and decision making to access the demand for transportation facilities and services, energy use, and safety risk and environmental concerns. This dataset provides data for the Geographic Area Series.

Release Date: 2020-07-16.Release Schedule:.The data in this file was released in July 2020...Source:.Suggested Citation: U.S. Department of Transportation, Bureau of Transportation Statistics; and, U.S. Department of Commerce, U.S. Census Bureau. (2020-07-16). Hazardous Materials Series: HazMat Temperature Control Shipment Characteristics by UN/NA Number for the United States: 2017 [dataset]. 2017 Commodity Flow Survey. Accessed [enter date you accessed/downloaded this table here] from https://data.census.gov/cedsci/table?q=cf1700h18&hidePreview=true&tid=CFSHAZMAT2017.CF1700H18...Key Table Information:.The estimates presented are based on data from the 2017 Commodity Flow Survey (CFS) and supersede data previously released in the 2017 CFS Preliminary Report. These estimates only cover businesses with paid employees. All dollar values are expressed in current dollars, i.e., they are based on price levels in effect at the time of the sample. Estimates may not be additive due to rounding...Due to definitional and processing changes made each survey year, any data comparisons between one CFS survey and another should be made with caution. See the Comparability of Estimates section of the Survey Methodology for more details...Data Items and Other Identifying Records:.This file contains data on:.Value ($ Millions). Tons (Thousands). Ton-miles (Millions). Average miles per shipment (Number). Coefficient of variation or standard error for all above data items...Geography Coverage:.The data are shown at the U.S. only. For information on Commodity Flow Survey geographies, including changes for 2017, see Census Geographies...Industry Coverage:.N/A..Footnotes:.N/A..FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/cfs/data/2017/CF1700H18.zip...API Information:.Commodity Flow Survey data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2017/cfshazmat.html...Methodology:.The noise infusion data protection method has been applied to prevent data disclosure, and to protect respondent's confidentiality. Estimates are based on a sample of establishments and are subject to both sampling and nonsampling error. Estimated measures of sampling variability are provided in the tables. For information on confidentiality protection, sampling error, and nonsampling error see Survey Methodology...Symbols:. S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.. Z - Rounds to Zero.. X - Not Applicable..For a complete list of all economic programs symbols, see the Symbols Glossary...Contact Information:.U.S. Census Bureau.Commodity Flow Survey.Tel: (301) 763 - 2108.Email: erd.cfs@census.gov

Key Table Information.Table Title.Geographic Area Series: Shipment Characteristics by Origin Geography by Destination Geography by Commodity by Mode: 2022.Table ID.CFSAREA2022.CF2200A17.Survey/Program.Economic Surveys.Year.2022.Dataset.ECNSVY Commodity Flow Survey Geographic Area Series.Source.U.S. Census Bureau, 2022 Economic Surveys, Commodity Flow Survey.Release Date.2025-06-26.Release Schedule.The CFS collects data every five years, for years ending in 2 and 7.The data in this file was released in June 2025..Dataset Universe.The dataset universe consists of all in-scope shipments originating from establishments in operation for at least some part of 2022, located in one of the 50 U.S. states or the District of Columbia, having paid employees, and classified in selected NAICS industries.For more information on shipments that are in-scope, see Commodity Flow Survey Questionnaires..Sponsor.Bureau of Transportation Statistics, U.S. Department of Transportation.Methodology.Data Items and Other Identifying Records.Value ($ million)Weight (thousand tons)Average distance (GCD) per shipment (miles)Coefficient of variation for all above data itemsEstimates on this table are given by origin geography, destination geography, commodity, and domestic mode of shipment.Definitions can be found by clicking on the column header in the table or by accessing the Commodity Flow Survey Methodology..Unit(s) of Observation.The reporting units for the CFS are establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed..Geography Coverage.The data are shown for the U.S., region, division, state, and CFS Area levels.For information about CFS geographies, see Commodity Flow Survey Geographies..Sampling.The CFS selects a sample using a three-stage design. The first stage selects a sample of about 165 thousand establishments stratified by industry and geography, the second stage randomly assigns a reporting week in each quarter for the establishments to report shipments, and the third stage is a systematic sample of shipments in the selected weeks.For more information about the sample design, see the Commodity Flow Survey Methodology..Confidentiality.The Census Bureau has reviewed the published CFS tables to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504831, Disclosure Review Board [DRB] Approval Number: CBDRB-FY25-0142).The primary method of disclosure avoidance is noise infusion. Under this method, the tabulation weight for each shipment is perturbed prior to tabulation by applying a random noise multiplier. More information on disclosure avoidance is available in the Commodity Flow Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, see Commodity Flow Survey Methodology.For more information about survey questionnaires, CFS Area definitions, and commodity code definitions, see 2022 CFS Technical Documentation..Weights.Each shipment is assigned a single tabulation weight used when tabulating quantitative values. The tabulation weight is the product of multiple component weights, including weights to reflect the probability of selection in each stage of sampling, weights to represent quarter and establishment non-response, weights to post-stratify to 2022 Economic Census data, and a weight to represent the noise infusion used for disclosure avoidance.For more information about tabulation weights, see Commodity Flow Survey Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/cfs/data/2022/.API Information.Commodity Flow Survey (CFS) data are housed in the Census Bureau Application Programming Interface (API)..Symbols.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.Z - Rounds to zeroX - Not applicableN - Not available or not comparableFor a complete list of symbols, see Economic Census Data Dictionary..Data-Specific Notes.Cell notes:n: Truck as a single mode in 2022 includes the new mode of customer pick-up, as well as for-hire truck and company-owned truck. In 2017, truck as a single mode included only shipments that were made by for-hire truck or company-owned truck.o: Customer pick-up represents a shipment reported as picked up by the customer. Customer pick-up is a new mode for the 2022 CFS. Estimates did not exist for the 2017 CFS and before. See methodology for more information.x: Other mode (single and multimode) represents a shipment with a valid transportation m...

The Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments. The data from the CFS are used by public policy analysts and for transportation planning and decision making to access the demand for transportation facilities and services, energy use, and safety risk and environmental concerns. This dataset provides data for the Temperature Series.

Release Date: 2020-07-16.Release Schedule:.The data in this file was released in July 2020. The data in this file was modified January 28, 2021...Source:.Suggested Citation: U.S. Department of Transportation, Bureau of Transportation Statistics; and, U.S. Department of Commerce, U.S. Census Bureau. (2021-01-28). Geographic Area Series: Shipment Characteristics by Mode of Transportation - Truck: 2017 [dataset]. 2017 Commodity Flow Survey. Accessed [enter date you accessed/downloaded this table here] from https://data.census.gov/cedsci/table?q=cf1700a03&hidePreview=true&tid=CFSAREA2017.CF1700A03...Key Table Information:.The estimates presented are based on data from the 2017 Commodity Flow Surveys (CFS) and supersede data previously released in the 2017 CFS Preliminary Report. These estimates only cover businesses with paid employees. All dollar values are expressed in current dollars, i.e., they are based on price levels in effect at the time of each sample. Estimates may not be additive due to rounding...Due to definitional and processing changes made each survey year, any data comparisons between one CFS survey and another should be made with caution. See the Comparability of Estimates section of the Survey Methodology for more details...Table CF1700A03, new for the 2017 CFS, details the breakdown by truck mode of transportation. Please note that the estimates in this table may differ from CF1700A01. Table CF1700A03 displays estimates where truck was used for any part of the distance...Note: For this table only, the following exceptions apply:."All modes" refers to the total of all Truck shipments, single-mode and multi-mode.. "Truck" refers to single-mode truck shipments only.. "Multiple modes" refers to only those multi-mode shipments which include a truck segment.. "Air" refers to only those Air shipments which include truck to/from airport.. "Other multiple modes" refers to only those Other multiple mode shipments which include a truck segment....Data Items and Other Identifying Records:.This file contains data on:.Value ($ Millions). Tons (Thousands). Ton-miles (Millions). Average miles per shipment (Number). Coefficient of variation or standard error for all above data items...Geography Coverage:.The data are shown at the U.S. only. For information on Commodity Flow Survey geographies, including changes for 2017, see Census Geographies...Industry Coverage:.N/A..Footnotes:.N/A..FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/cfs/data/2017/CF1700A03.zip...API Information:.Commodity Flow Survey data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2017/cfsarea.html...Methodology:.The noise infusion data protection method has been applied to prevent data disclosure, and to protect respondent's confidentiality. Estimates are based on a sample of establishments and are subject to both sampling and nonsampling error. Estimated measures of sampling variability are provided in the tables. For information on confidentiality protection, sampling error, and nonsampling error see Survey Methodology...Symbols:. S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.. Z - Rounds to Zero.. X - Not Applicable..For a complete list of all economic programs symbols, see the Symbols Glossary...Contact Information:.U.S. Census Bureau.Commodity Flow Survey.Tel: (301) 763 - 2108.Email: erd.cfs@census.gov

The Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments. The data from the CFS are used by public policy analysts and for transportation planning and decision making to access the demand for transportation facilities and services, energy use, and safety risk and environmental concerns. This dataset provides data for the Exports Series.

Context

The coronavirus has presented unique challenges to supply chains worldwide. As cities and states rise to meet challenges its important to know where critical items are produced and to try and understand the impact of these closures on the US supply chain. This can be especially important at the moment with regards to manufacturing capabilities related to medical devices and pharmaceuticals.

Content

"**The survey is the primary source of national and state-level data on domestic freight shipments by establishments in mining, manufacturing, wholesale, auxiliaries, and selected retail and services trade industries located in the 50 states and the District of Columbia. **The survey produces estimates on the type, origin and destination, value, weight, modes of transportation, distance shipped, and ton-miles of commodities shipped. The CFS is conducted every five years as part of the Economic Census. It provides a modal picture of national freight flows, and represents the only publicly available source of commodity flow data for the highway mode. The CFS was conducted in 1993, 1997, 2002, 2007 and most recently in 2012."

"To protect the confidentiality of CFS respondents, the CFS uses noise-infusion when producing estimates of shipment value and shipment weight. Details relating to this disclosure avoidance technique may be found on the CFS website at www.census.gov/econ/cfs/2012_methodology.html along with information on the survey coverage, sampling, mileage calculation, and estimation methodologies."

Read more: https://www.census.gov/data/datasets/2012/econ/cfs/2012-pums-files.html

Acknowledgements

The Commodity Flow Survey (CFS) is a joint effort by the Bureau of Transportation Statistics (BTS) and the U.S. Census Bureau, U.S. Department of Commerce. Special thanks to James Hinckley and Christian Moscardi

The 2012 CFS PUM file is an experimental data product and the Census Bureau solicits user feedback to continue to enhance its usefulness. If you have any questions or feedback you would like to provide us, please contact the Commodity Flow Branch staff by e-mail at ERD.CFS@census.gov or by phone at (301) 763-2108.

Inspiration

Data could be used to evaluate economic impacts from commodity flow to and from cities under quarantine orders. This data could also be used to proxy the local production capacities of medical equipment and pharmaceuticals and also the areas that import these items.

The Commodity Flow Survey (CFS) is the primary source of national and state-level data on domestic freight shipments by American establishments in mining, manufacturing, wholesale, auxiliaries, and selected retail industries. Data are provided on the types, origins and destinations, values, weights, modes of transport, distance shipped, and ton-miles of commodities shipped. The CFS is a shipper-based survey and is conducted every five years as part of the Economic Census. It provides a modal picture of national freight flows, and represents the only publicly available source of commodity flow data for the highway mode. The CFS was conducted in 1993, 1997, 2002, 2007 and most recently in 2012.

ASS: Exp: FI: SCOR: Commodity Contracts Brokerage data was reported at 3.399 USD bn in 2016. This records a decrease from the previous number of 3.602 USD bn for 2015. ASS: Exp: FI: SCOR: Commodity Contracts Brokerage data is updated yearly, averaging 3.602 USD bn from Dec 2003 (Median) to 2016, with 11 observations. The data reached an all-time high of 5.100 USD bn in 2008 and a record low of 2.960 USD bn in 2003. ASS: Exp: FI: SCOR: Commodity Contracts Brokerage data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H021: Annual Services Survey: Employer Firms Expense.

Release Date: 2020-07-16.Release Schedule:.The data in this file was released in July 2020...Source:.Suggested Citation: U.S. Department of Transportation, Bureau of Transportation Statistics; and, U.S. Department of Commerce, U.S. Census Bureau. (2020-07-16). Exports Series: Shipment Characteristics by NAICS: 2017 and 2012 [dataset]. 2017 Commodity Flow Survey. Accessed [enter date you accessed/downloaded this table here] from https://data.census.gov/cedsci/table?q=cf1700e8&hidePreview=true&tid=CFSEXPORT2017.CF1700E8...Key Table Information:.The estimates presented are based on data from the 2017 and 2012 Commodity Flow Surveys (CFS) and supersede data previously released in the 2017 CFS Preliminary Report. These estimates only cover businesses with paid employees. All dollar values are expressed in current dollars relative to each sample year (2017 and 2012), i.e., they are based on price levels in effect at the time of each sample. Estimates may not be additive due to rounding...Due to definitional and processing changes made each survey year, any data comparisons between one CFS survey and another should be made with caution. See the Comparability of Estimates section of the Survey Methodology for more details...Data Items and Other Identifying Records:.This file contains data on:.Value ($ Millions). Tons (Thousands). Ton-miles (Millions). Percent change from 2012 and coefficient of variation or standard error for all above data items...Geography Coverage:.The data are shown at the U.S. only. For information on Commodity Flow Survey geographies, including changes for 2017, see Census Geographies...Industry Coverage:. . . NAICS Code . Description . . . 212 . Mining (Except Oil and Gas). . . 311 . Food Manufacturing. . . 312. Beverage and Tobacco Product Manufacturing. . . 313. Textile Mills. . . 314. Textile Product Mills. . . 315. Apparel Manufacturing. . . 316. Leather and Allied Product Manufacturing. . . 321. Wood Product Manufacturing. . . 322. Paper Manufacturing. . . 323. Printing and Related Support Activities. . . 324. Petroleum and Coal Products Manufacturing. . . 325. Chemical Manufacturing. . . 326. Plastics and Rubber Products Manufacturing. . . 327. Nonmetallic Mineral Product Manufacturing. . . 331. Primary Metal Manufacturing . . . 332. Fabricated Metal Product Manufacturing. . . 333. Machinery Manufacturing. . . 334. Computer and Electronic Product Manufacturing. . . 335. Electrical Equipment, Appliance, and Component Manufacturing. . . 336. Transportation Equipment Manufacturing. . . 337. Furniture and Related Product Manufacturing. . . 339. Miscellaneous Manufacturing. . . 4231 [1] . Motor Vehicle and Parts Merchant Wholesalers. . . 4232 [1] . Furniture and Home Furnishing Merchant Wholesalers. . . 4233 [1] . Lumber and other Construction Materials Merchant Wholesalers. . . 4234 [1] . Commercial Equipment Merchant Wholesalers. . . 4235 [1] . Metal and Mineral (except Petroleum) Merchant Wholesalers. . . 4236 [1] . Electrical and Electronic Goods Merchant Wholesalers. . . 4237 [1] . Hardware and Plumbing Merchant Wholesalers. . . 4238 [1] . Machinery, Equipment, and Supplies Merchant Wholesalers. . . 4239 [1] . Miscellaneous Durable Goods Merchant Wholesalers. . . 4241 [1] . Paper and Paper Product Merchant Wholesalers. . . 4242 [1] . Drugs and druggists' sundries merchant wholesalers. . . 4243 [1] . Apparel, Piece Goods, and Notions Merchant Wholesalers. . . 4244 [1] . Grocery and Related Product Merchant Wholesalers. . . 4245 [1] . Farm Product Raw Material Merchant Wholesalers. . . 4246 [1] . Chemical and Allied Products Merchant Wholesalers. . . 4247 [1] . Petroleum and Petroleum Products Merchant Wholesalers. . . 4248 [1] . Beer, Wine, and Distilled Alcoholic Beverage Merchant Wholesalers. . . 4249 [1] . Miscellaneous Nondurable Goods Merchant Wholesalers. . . 4541. Electronic Shopping and Mail-Order Houses. . . 45431. Fuel Dealers. . . 4841 [2] . General Freight Trucking. . . 4842 [2] . Specialized Freight Trucking. . . 4931 [2]. Warehousing and Storage. . . 5111 [3]. Newspaper, Periodical, Book, and Directory Publishers. . . 551114 [4]. Corporate, Subsidiary, and Regional Managing Offices. ...[1] Wholesale establishments exclude manufacturers sales offices and own brand importers..[2] Includes only captive warehouses that provide storage and shipping support to a single company. Warehouses offering their services to the general public and other businesses are excluded. For tabulation and publication purposes, NAICS 484 is grouped with NAICS 4931..[3] For 2017 this industry includes NAICS 51223. In the 2012 cycle, NAICS 51223 was not sampled..[4] Includes only those establishments in the industry with shipping activity as determined from the advance surve...

ASS: Exp: FI: SCOR: Securities & Commodity Exchanges data was reported at 4.380 USD bn in 2016. This records an increase from the previous number of 4.088 USD bn for 2015. ASS: Exp: FI: SCOR: Securities & Commodity Exchanges data is updated yearly, averaging 5.521 USD bn from Dec 2009 (Median) to 2016, with 8 observations. The data reached an all-time high of 5.916 USD bn in 2011 and a record low of 4.088 USD bn in 2015. ASS: Exp: FI: SCOR: Securities & Commodity Exchanges data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H021: Annual Services Survey: Employer Firms Expense.

This data was extracted from GeoFreight (http://www.fhwa.dot.gov/freightplanning/geofreight.htm) built by Oak Ridge National Labs and made available by the Bureau of Transportation Statistics as a CD-ROM. The data was released December 2003 and utilizes the 2003 commodity flow survey data and other data sources. The data extracted from GeoFreight has a weird projection that takes considerable effort to convert to standard Mercator or NAD 1983 projection to work easily with other data sets. Otherwise great data with rare insights to how commodities get moved across the country.

United States ASS: Exp: FI: SCOR: Commodity Contracts Dealing data was reported at 4.013 USD bn in 2016. This records an increase from the previous number of 3.984 USD bn for 2015. United States ASS: Exp: FI: SCOR: Commodity Contracts Dealing data is updated yearly, averaging 4.144 USD bn from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 5.351 USD bn in 2011 and a record low of 1.823 USD bn in 2003. United States ASS: Exp: FI: SCOR: Commodity Contracts Dealing data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H021: Annual Services Survey: Employer Firms Expense.

VITAL SIGNS INDICATOR Rent Payments (EC8)

FULL MEASURE NAME Median rent payment

LAST UPDATED August 2019

DESCRIPTION Rent payments refer to the cost of leasing an apartment or home and serves as a measure of housing costs for individuals who do not own a home. The data reflect the median monthly rent paid by Bay Area households across apartments and homes of various sizes and various levels of quality. This differs from advertised rents for available apartments, which usually are higher. Note that rent can be presented using nominal or real (inflation-adjusted) dollar values; data are presented inflation-adjusted to reflect changes in household purchasing power over time.

DATA SOURCE U.S. Census Bureau: Decennial Census 1970-2000 https://nhgis.org Note: Count 1 and Count 2; Form STF1; Form SF3a

U.S. Census Bureau: American Community Survey 2005-2017 http://api.census.gov Note: Form B25058; 1-YR

Bureau of Labor Statistics: Consumer Price Index 1970-2017 http://www.bls.gov/data/ Note: All Urban Consumers Data Table (by metro)

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Rent data reflects median rent payments rather than list rents (refer to measure definition above). Larger geographies (metro and county) rely upon ACS 1-year data, while smaller geographies rely upon ACS 5-year rolling average data. 1970 Census data for median rent payments has been imputed by ABAG staff as the source data only provided the mean, rather than the median, monthly rent. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

Inflation-adjusted data are presented to illustrate how rent payments have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself.

United States QSS: Revenue: FI: SCOR: Securities & Commodity Exchanges data was reported at 3.617 USD bn in Mar 2018. This records an increase from the previous number of 3.044 USD bn for Dec 2017. United States QSS: Revenue: FI: SCOR: Securities & Commodity Exchanges data is updated quarterly, averaging 2.628 USD bn from Sep 2009 (Median) to Mar 2018, with 35 observations. The data reached an all-time high of 3.617 USD bn in Mar 2018 and a record low of 2.297 USD bn in Sep 2012. United States QSS: Revenue: FI: SCOR: Securities & Commodity Exchanges data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H019: Quarterly Services Survey.

United States QSS: Revenue: FI: SCOR: Securities & Commodity Contracts data was reported at 84.687 USD bn in Mar 2018. This records an increase from the previous number of 72.774 USD bn for Dec 2017. United States QSS: Revenue: FI: SCOR: Securities & Commodity Contracts data is updated quarterly, averaging 63.623 USD bn from Sep 2009 (Median) to Mar 2018, with 35 observations. The data reached an all-time high of 84.687 USD bn in Mar 2018 and a record low of 52.777 USD bn in Dec 2011. United States QSS: Revenue: FI: SCOR: Securities & Commodity Contracts data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H019: Quarterly Services Survey.

This data release contains the U.S. salient statistics and world production data extracted from the tables and figures of the USGS Mineral Commodity Summaries 2024 that give an overview of the U.S. mineral industry in 2023.

Graph and download economic data for All Employees, Securities, Commodity Contracts, Funds, Trusts, and Other Financial Vehicles, Investments, and Related Activities (CES5552300001) from Jan 1990 to Aug 2025 about contracts, establishment survey, investment, financial, securities, commodities, employment, and USA.