Release Date: 2021-04-08.Release Schedule:..The data in this file come from the 2017 Economic Census. For information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:..Includes only establishments and firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry...Data Items and Other Identifying Records:. Number of establishments. Sales, value of shipments, or revenue ($1,000). Revenue from exports ($1,000). Response coverage of exported energy inquiry (%). .Geography Coverage:..The data are shown for employer establishments at the US level only. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:..The data are shown for 2017 NAICS codes 2211 and 2212. For information about NAICS, see Economic Census: Technical Documentation: Economic Census Code Lists...Footnotes:..Not applicable..FTP Download:..Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector22/EC1722EXPNRG.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.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..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

Summary File 2 contains 100-percent United States decennial Census data, which is the information compiled from the questions asked of all people and about every housing unit. Population items include sex, age, race, Hispanic or Latino origin, household relationship, and group quarters occupancy. Housing items include occupancy status, vacancy status, and tenure (owner occupied or renter occupied). The 100-percent data are presented in 36 population tables ("PCT") and 11 housing tables ("HCT") down to the census tract level. Each table is iterated for 250 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), and 39 Hispanic or Latino groups. The presentation of tables for any of the 250 population groups is subject to a population threshold of 100 or more people. That is, if there were fewer than 100 people in a specific population group in a specific geographic area, their population and housing characteristics data are not available for that geographic area.

About this dataset

Context

The dataset tabulates the data for the Export, PA population pyramid, which represents the Export population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Export, PA, is 21.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Export, PA, is 30.9.
• Total dependency ratio for Export, PA is 52.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Export, PA is 3.2.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Export population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Export for the selected age group is shown in the following column.
• Population (Female): The female population in the Export for the selected age group is shown in the following column.
• Total Population: The total population of the Export for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Export Population by Age. You can refer the same here

For information on economic census geographies, including changes for 2012, see the economic census Help Center..Table NameUtilities: Subject Series: Misc Subjects: Exported Energy to Canada and Mexico for the U.S.: 2012ReleaseScheduleThe data in this file are scheduled for release in June 2016.Key TableInformationSee Methodology. for information on data limitations.UniverseThe universe of this file is selected establishments of firms with payroll in business at any time during 2012 and classified in Utilities (Sector 22).GeographyCoverageThe data are shown at the United States level only.IndustryCoverageThe data are shown for 2012 NAICS codes 2211 and 2212.Data ItemsandOtherIdentifyingRecordsThis file contains data on:.Establishments.Revenue.Revenue from exports.Revenue of establishments responding to exported energy inquiry as a percent of total revenue.FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector22/EC1222SXSB2.zipContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .Includes only establishments of firms with payroll. See Table Notes for more information. Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

Key Table Information.Table Title.Exports Series: Shipment Characteristics by Domestic Mode: 2022 and 2017.Table ID.CFSEXPORT2022.CF2200E2.Survey/Program.Economic Surveys.Year.2022.Dataset.ECNSVY Commodity Flow Survey Commodity Flow Survey - Export.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 export 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)Percent change from 2017 and coefficient of variation or standard error for all above data itemsEstimates on this table are given by 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. only.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 (CPU), 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 mode other than the most common designations. See methodology for more information on other modes.z: Unknown mode repres...

Summary File 4 (SF 4) from the United States 2000 Census contains the sample data, which is the information compiled from the questions asked of a sample of all people and housing units. Population items include basic population totals: urban and rural, households and families, marital status, grandparents as caregivers, language and ability to speak English, ancestry, place of birth, citizenship status, year of entry, migration, place of work, journey to work (commuting), school enrollment and educational attainment, veteran status, disability, employment status, industry, occupation, class of worker, income, and poverty status. Housing items include basic housing totals: urban and rural, number of rooms, number of bedrooms, year moved into unit, household size and occupants per room, units in structure, year structure built, heating fuel, telephone service, plumbing and kitchen facilities, vehicles available, value of home, monthly rent, and shelter costs. In Summary File 4, the sample data are presented in 213 population tables (matrices) and 110 housing tables, identified with "PCT" and "HCT" respectively. Each table is iterated for 336 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), 39 Hispanic or Latino groups, and 86 ancestry groups. The presentation of SF4 tables for any of the 336 population groups is subject to a population threshold. That is, if there are fewer than 100 people (100-percent count) in a specific population group in a specific geographic area, and there are fewer than 50 unweighted cases, their population and housing characteristics data are not available for that geographic area in SF4. For the ancestry iterations, only the 50 unweighted cases test can be performed. See Appendix H: Characteristic Iterations, for a complete list of characteristic iterations.

United States Exports: FAS: sa: FB: Alcoholic Beverages, excluding Wine data was reported at 212.000 USD mn in May 2018. This records a decrease from the previous number of 227.000 USD mn for Apr 2018. United States Exports: FAS: sa: FB: Alcoholic Beverages, excluding Wine data is updated monthly, averaging 76.500 USD mn from Dec 1993 (Median) to May 2018, with 294 observations. The data reached an all-time high of 227.000 USD mn in Apr 2018 and a record low of 27.000 USD mn in Jan 1994. United States Exports: FAS: sa: FB: Alcoholic Beverages, excluding Wine data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA005: Trade Statistics: Census Basis: Seasonally Adjusted: Exports by End-Use Commodity.

Export: 5-Digit: IN: Computer Accessories data was reported at 249.042 USD mn in 2017. This records an increase from the previous number of 211.754 USD mn for 2016. Export: 5-Digit: IN: Computer Accessories data is updated yearly, averaging 202.872 USD mn from Dec 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 311.039 USD mn in 2006 and a record low of 138.639 USD mn in 1999. Export: 5-Digit: IN: Computer Accessories data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.RF007: Exports: By Census Basis: FAS.

Dataset shows an individual’s statistical area 3 (SA3) of usual residence and the SA3 of their place of study, for the census usually resident population count who are studying (part time or full time), by main means of travel to education from the 2018 and 2023 Censuses.

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The main means of travel to education categories are:

• Study at home
• Drive a car, truck, or van
• Passenger in a car, truck, or van
• Bicycle
• Walk or jog
• School bus
• Public bus
• Train
• Ferry
• Other.

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Main means of travel to education is the usual method a person used to travel the longest distance to their place of study.

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Educational institution address is the physical location of the individual’s place of study. Educational institutions include early childhood education, primary school, secondary school, and tertiary education institutions. For individuals who study at home, their educational institution address is the same as their usual residence address.

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Educational institution address is coded to the most detailed geography possible from the available information. This dataset only includes travel to education information for individuals whose educational institution address is available at SA3 level. The sum of the counts for each region in this dataset may not equal the census usually resident population count who are studying (part time or full time) for that region. Educational institution address – 2023 Census: Information by concept has more information.

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This dataset can be used in conjunction with the following spatial files by joining on the SA3 code values:

• Statistical area 3 2023 (generalised)

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Download data table using the instructions in the Koordinates help guide.

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Footnotes

Geographical boundaries

Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

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Subnational census usually resident population

The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city. 

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Population counts

Stats NZ publishes a number of different population counts, each using a different definition and methodology. Population statistics – user guide has more information about different counts. 

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Caution using time series

Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data).

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Educational institution address time series

Educational institution address time series data should be interpreted with care at lower geographic levels, such as statistical area 2 (SA2). Methodological improvements in 2023 Census resulted in greater data accuracy, including a greater proportion of people being counted at lower geographic areas compared to the 2018 Census. Educational institution address – 2023 Census: Information by concept has more information.

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Rows excluded from the dataset

Rows show SA3 of usual residence by SA3 of educational institution address. Rows with a total population count of less than six have been removed to reduce the size of the dataset, given only a small proportion of SA3-SA3 combinations have commuter flows.

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About the 2023 Census dataset

For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

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Data quality

The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

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Quality rating of a variable

The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.

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Main means of travel to education quality rating

Main means of travel to education is rated as moderate quality.

Main means of travel to education – 2023 Census: Information by concept has more information, for example, definitions and data quality.

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Educational institution address quality rating

Educational institution address is rated as moderate quality.

Educational institution address – 2023 Census: Information by concept has more information, for example, definitions and data quality.

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Using data for good

Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

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Confidentiality

The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

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Percentages

To calculate percentages, divide the figure for the category of interest by the figure for ‘Total stated’ where this applies.

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Symbol

-999 Confidential

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Inconsistencies in definitions

Please note that there may be differences in definitions between census classifications and those used for other data collections.

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 Export Mode by Country of Destination: 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=cf1700e5&hidePreview=true&tid=CFSEXPORT2017.CF1700E5...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:.N/A..Footnotes:.N/A..FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/cfs/data/2017/CF1700E5.zip...API Information:.Commodity Flow Survey data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2017/cfsexport.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

Exports: NAICS: SC: Used or 2nd Hand Merchandise data was reported at 1.529 USD bn in May 2018. This records an increase from the previous number of 1.243 USD bn for Apr 2018. Exports: NAICS: SC: Used or 2nd Hand Merchandise data is updated monthly, averaging 328.400 USD mn from Jan 2000 (Median) to May 2018, with 221 observations. The data reached an all-time high of 1.572 USD bn in Mar 2018 and a record low of 0.000 USD mn in Dec 2015. Exports: NAICS: SC: Used or 2nd Hand Merchandise data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA007: Trade Statistics: Census Basis: NAICS: Exports.

Release Date: 2014-12-09...Table Name.Export Series: Shipment Characteristics by NAICS: 2012 and 2007....ReleaseSchedule. The data in this file are scheduled for release in December 2014.....Key TableInformation.None.....Universe. The 2012 Commodity Flow Survey (CFS) covers business establishments with paid employees that are located in the United States and are classified using the 2007 North American Industry Classification System (NAICS) in mining, manufacturing, wholesale trade, and selected retail trade and services industries, namely, electronic shopping and mail-order houses, fuel dealers, and publishers. Establishments classified in transportation, construction, and all other retail and services industries are excluded from the survey. Farms, fisheries, foreign establishments, and most government-owned establishments are also excluded. The survey also covers auxiliary establishments (i.e., warehouses and managing offices) of multi-establishments companies. For the 2012 CFS, an advance survey (pre-canvass) of approximately 100,000 establishments was conducted to identify establishments with shipping activity and to try and obtain an accurate measure of their shipping activity. Surveyed establishments that indicated undertaking shipping activities and the non-respondents to the pre-canvass were included in the CFS sample universe....GeographyCoverage.The data are shown at the U.S. level.....IndustryCoverage.Selected 2007 NAICS codes.....Data ItemsandOtherIdentifyingRecords. This file contains data on:..Value ($ Millions).Tons (Thousands).Ton-miles (Millions).Percent change from 2007, and coefficient of variation or standard error for all above data items. .The data are shown by originating state (GEOTYPE)......Sort Order.Data are presented in ascending NAICS2007 sequence......FTP Download. Download the entire table at Table E7 FTP. ....ContactInformation.U.S. Census Bureau.Commodity Flow Survey.Tel: (301)763-2108.Email: erd.cfs@census.gov...The estimates presented are based on data from the 2012 and 2007 Commodity Flow Surveys (CFS) and supersede data previously released in the 2012 CFS Preliminary Report. These estimates only cover businesses with paid employees. All dollar values are expressed in current dollars relative to each sample year (2012 and 2007), i.e., they are based on price levels in effect at the time of each sample. Estimates may not be additive due to rounding. ...For information on Commodity Flow Survey geographies, including changes for 2012, see Census Geographies. .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..Source: U.S. Department of Transportation, Bureau of Transportation Statistics and U.S. Census Bureau, 2012 Commodity Flow Survey. .Note: 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.

Release Date: 2014-12-09...Table Name.Export Series: Shipment Characteristics by Domestic Mode: 2012 and 2007....ReleaseSchedule. The data in this file are scheduled for release in December 2014.....Key TableInformation.None.....Universe. The 2012 Commodity Flow Survey (CFS) covers business establishments with paid employees that are located in the United States and are classified using the 2007 North American Industry Classification System (NAICS) in mining, manufacturing, wholesale trade, and selected retail trade and services industries, namely, electronic shopping and mail-order houses, fuel dealers, and publishers. Establishments classified in transportation, construction, and all other retail and services industries are excluded from the survey. Farms, fisheries, foreign establishments, and most government-owned establishments are also excluded. The survey also covers auxiliary establishments (i.e., warehouses and managing offices) of multi-establishments companies. For the 2012 CFS, an advance survey (pre-canvass) of approximately 100,000 establishments was conducted to identify establishments with shipping activity and to try and obtain an accurate measure of their shipping activity. Surveyed establishments that indicated undertaking shipping activities and the non-respondents to the pre-canvass were included in the CFS sample universe....GeographyCoverage.The data are shown at the U.S. level only.....IndustryCoverage.None.....Data ItemsandOtherIdentifyingRecords. This file contains data on:..Value ($ Millions).Tons (Thousands).Ton-miles (Millions).Percent change from 2007, and coefficient of variation or standard error for all above data items. .The data are shown by domestic mode of transportation (DMODE)......Sort Order.Data are presented in ascending DMODE sequence.....FTP Download. Download the entire table at Table E2 FTP. ....ContactInformation.U.S. Census Bureau.Commodity Flow Survey.Tel: (301)763-2108.Email: erd.cfs@census.gov...The estimates presented are based on data from the 2012 and 2007 Commodity Flow Surveys (CFS) and supersede data previously released in the 2012 CFS Preliminary Report. These estimates only cover businesses with paid employees. All dollar values are expressed in current dollars relative to each sample year (2012 and 2007), i.e., they are based on price levels in effect at the time of each sample. Estimates may not be additive due to rounding. ...For information on Commodity Flow Survey geographies, including changes for 2012, see Census Geographies. .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..Source: U.S. Department of Transportation, Bureau of Transportation Statistics and U.S. Census Bureau, 2012 Commodity Flow Survey. .Note: 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.

Exports: NAICS: Mfg: Paper data was reported at 2.172 USD bn in May 2018. This records an increase from the previous number of 2.070 USD bn for Apr 2018. Exports: NAICS: Mfg: Paper data is updated monthly, averaging 1.743 USD bn from Jan 2000 (Median) to May 2018, with 221 observations. The data reached an all-time high of 2.201 USD bn in Oct 2013 and a record low of 1.060 USD bn in Feb 2002. Exports: NAICS: Mfg: Paper data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA007: Trade Statistics: Census Basis: NAICS: Exports.

Exports: 1-Digit: Malaysia (MY) data was reported at 1.049 USD bn in May 2018. This records a decrease from the previous number of 1.097 USD bn for Apr 2018. Exports: 1-Digit: Malaysia (MY) data is updated monthly, averaging 845.764 USD mn from Jan 1985 (Median) to May 2018, with 401 observations. The data reached an all-time high of 1.349 USD bn in Mar 2011 and a record low of 92.800 USD mn in Dec 1985. Exports: 1-Digit: Malaysia (MY) data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA011: Trade Statistics: Census Basis: By Country: Exports: FAS.

Exports: FAS: Federated States of Micronesia data was reported at 4.200 USD mn in May 2018. This records an increase from the previous number of 3.200 USD mn for Apr 2018. Exports: FAS: Federated States of Micronesia data is updated monthly, averaging 2.700 USD mn from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 19.800 USD mn in Dec 2008 and a record low of 0.700 USD mn in Apr 1990. Exports: FAS: Federated States of Micronesia data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA011: Trade Statistics: Census Basis: By Country: Exports: FAS.

Exports: FAS: Guinea data was reported at 15.300 USD mn in May 2018. This records an increase from the previous number of 7.500 USD mn for Apr 2018. Exports: FAS: Guinea data is updated monthly, averaging 6.000 USD mn from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 38.800 USD mn in Mar 2015 and a record low of 0.900 USD mn in Aug 1999. Exports: FAS: Guinea data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA011: Trade Statistics: Census Basis: By Country: Exports: FAS.

Exports: NAICS: Mfg: Transportation Equipment data was reported at 24.624 USD bn in May 2018. This records an increase from the previous number of 20.493 USD bn for Apr 2018. Exports: NAICS: Mfg: Transportation Equipment data is updated monthly, averaging 15.531 USD bn from Jan 2000 (Median) to May 2018, with 221 observations. The data reached an all-time high of 25.395 USD bn in Mar 2018 and a record low of 7.382 USD bn in Jul 2000. Exports: NAICS: Mfg: Transportation Equipment data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA007: Trade Statistics: Census Basis: NAICS: Exports.

United States Export: 5-Digit: IN: TV's, VCR's, etc data was reported at 17.063 USD mn in 2017. This records an increase from the previous number of 16.876 USD mn for 2016. United States Export: 5-Digit: IN: TV's, VCR's, etc data is updated yearly, averaging 13.071 USD mn from Dec 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 18.465 USD mn in 2012 and a record low of 2.485 USD mn in 1999. United States Export: 5-Digit: IN: TV's, VCR's, etc data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.RF007: Exports: By Census Basis: FAS.

United States Export: 5-Digit: IN: Other Household Goods data was reported at 167.783 USD mn in 2017. This records an increase from the previous number of 160.815 USD mn for 2016. United States Export: 5-Digit: IN: Other Household Goods data is updated yearly, averaging 76.780 USD mn from Dec 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 167.783 USD mn in 2017 and a record low of 14.342 USD mn in 2000. United States Export: 5-Digit: IN: Other Household Goods data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.RF007: Exports: By Census Basis: FAS.