This table lists small business size standards matched to industries described in the North American Industry Classification System (NAICS), as modified by the Office of Management and Budget effective January 1, 2012.

These statistics come from more than three million data items reported on about 250,000 sales tax returns filed quarterly and on about 300,000 returns filed annually. The dataset categorizes quarterly sales and purchases data by industry group using the North American Industry Classification System. The status of data will change as preliminary data becomes final.

This dataset contains 2017 national employment by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. This dataset is associated with the following publication: Ingwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0. Scientific Data. Springer Nature Group, New York, NY, 194, (2022).

These statistics come from more than three million data items reported on about 250,000 sales tax returns filed quarterly and on about 300,000 returns filed annually. The dataset categorizes quarterly sales and purchases data by industry group using the North American Industry Classification System. The status of data will change as preliminary data becomes final.

This dataset contains national 2017 point-source releases to water by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. This dataset is associated with the following publication: Ingwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0. Scientific Data. Springer Nature Group, New York, NY, 194, (2022).

These statistics come from more than three million data items reported on about 250,000 sales tax returns filed quarterly and on about 300,000 returns filed annually. The dataset categorizes quarterly sales and purchases data by industry group using the North American Industry Classification System. The status of data will change as preliminary data becomes final.

This dataset contains 2012 national-level land occupation totals by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSAv1.0.0 by calling the getFlowBySector() function and passing "Land_national_2012" as the method name. FLOWSA is a publicly available python package that generates standardized environmental flows by industry (https://github.com/USEPA/flowsa/releases/tag/v1.0.0). The metadata text file included as a supporting document records the FLOWSA tool version and input dataset bibliographic details. This dataset is associated with the following publication: Ingwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0. Scientific Data. Springer Nature Group, New York, NY, 194, (2022).

This dataset contains 2017 national level criteria and hazardous air pollutant emissions by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. This dataset is associated with the following publication: Ingwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0. Scientific Data. Springer Nature Group, New York, NY, 194, (2022).

This dataset contains national 2017 point-source releases to water by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSAv0.3.1 by calling the getFlowBySector() function and passing "TRI_DMR_national_2017" as the method name. FLOWSA is a publicly available python package that generates standardized environmental flows by industry (https://github.com/USEPA/flowsa/releases/tag/v0.3.1). The metadata text file included as a supporting document records the FLOWSA tool version and input dataset bibliographic details. This dataset is associated with the following publication: Ingwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0. Scientific Data. Springer Nature Group, New York, NY, 194, (2022).

This dataset contains 2012 national-level land occupation totals by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSAv1.0.0 by calling the getFlowBySector() function and passing "Land_national_2012" as the method name. FLOWSA is a publicly available python package that generates standardized environmental flows by industry (https://github.com/USEPA/flowsa/releases/tag/v1.0.0). The metadata text file included as a supporting document records the FLOWSA tool version and input dataset bibliographic details. This dataset is associated with the following publication: Ingwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0. Scientific Data. Springer Nature Group, New York, NY, 194, (2022).

This dataset contains 2017 national Commercial RCRA-defined Hazardous Waste by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSAv0.3.1 by calling the getFlowBySector() function and passing "CRHW_national_2017" as the method name. FLOWSA is a publicly available python package that generates standardized environmental flows by industry (https://github.com/USEPA/flowsa/releases/tag/v0.3.1). The metadata text file included as a supporting document records the FLOWSA tool version and input dataset bibliographic details. This dataset is associated with the following publication: Ingwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0. Scientific Data. Springer Nature Group, New York, NY, 194, (2022).

These statistics come from more than three million data items reported on about 250,000 sales tax returns filed quarterly and on about 300,000 returns filed annually. The dataset categorizes quarterly sales and purchases data by industry group using the North American Industry Classification System. The status of data will change as preliminary data becomes final.

These statistics come from more than three million data items reported on about 250,000 sales tax returns filed quarterly and on about 300,000 returns filed annually. The dataset categorizes quarterly sales and purchases data by industry group using the North American Industry Classification System. The status of data will change as preliminary data becomes final.

This dataset contains 2015 national-level water withdrawal by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSAv1.0.0 by calling the getFlowBySector() function and passing "Water_national_2015_m1" as the method name. FLOWSA is a publicly available python package that generates standardized environmental flows by industry (https://github.com/USEPA/flowsa/releases/tag/v1.0.0). The metadata text file included as a supporting document records the FLOWSA tool version and input dataset bibliographic details. This dataset is associated with the following publication: Ingwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0. Scientific Data. Springer Nature Group, New York, NY, 194, (2022).

These statistics come from more than three million data items reported on about 250,000 sales tax returns filed quarterly and on about 300,000 returns filed annually. The dataset categorizes quarterly sales and purchases data by industry group using the North American Industry Classification System. The status of data will change as preliminary data becomes final.

These statistics come from more than three million data items reported on about 250,000 sales tax returns filed quarterly and on about 300,000 returns filed annually. The dataset categorizes quarterly sales and purchases data by industry group using the North American Industry Classification System. The status of data will change as preliminary data becomes final.

These statistics come from more than three million data items reported on about 250,000 sales tax returns filed quarterly and on about 300,000 returns filed annually. The dataset categorizes quarterly sales and purchases data by industry group using the North American Industry Classification System. The status of data will change as preliminary data becomes final.

These statistics come from more than three million data items reported on about 250,000 sales tax returns filed quarterly and on about 300,000 returns filed annually. The dataset categorizes quarterly sales and purchases data by industry group using the North American Industry Classification System. The status of data will change as preliminary data becomes final.

These statistics come from more than three million data items reported on about 250,000 sales tax returns filed quarterly and on about 300,000 returns filed annually. The dataset categorizes quarterly sales and purchases data by industry group using the North American Industry Classification System. The status of data will change as preliminary data becomes final.

These statistics come from more than three million data items reported on about 250,000 sales tax returns filed quarterly and on about 300,000 returns filed annually. The dataset categorizes quarterly sales and purchases data by industry group using the North American Industry Classification System. The status of data will change as preliminary data becomes final.