BEA's annual input-output (I-O) accounts provide a time series of detailed, consistent information on the flow of goods and services that make up the production processes of industries. The accounts show how industries interact as they provide inputs to, and use outputs from, each other to produce GDP.

annual-industry-accounts balance-of-payments benchmark-input-output-accounts consumer-spending corporate-profits direct-investment-and-multinational-companies economic-information-for-coastal-areas fixed-assets gdp gdp-by-industry gdp-by-state-and-metropolitan-area input-output-accounts interactive-tables international-investment-position international-services personal-income-and-outlays rims-ii-regional-input-output-multipliers state-and-local-area-personal-income trade-in-goods-and-services underlying-detail

The Arts and Cultural Production Satellite Account (ACPSA) is produced through the partnership between the United States Bureau of Economic Analysis (BEA) and the National Endowment for the Arts (NEA). Built with the BEA's input-output (I-O) accounts, the ACPSA provides detailed statistics that illustrate the impact of arts and cultural production on the United States economy. Specifically, this account provides an assessment of the arts and cultural sector's contributions to gross domestic product (GDP).

For years 1998 to 2014, the ACPSA presents annual statistics about the following items: (1) Output of detailed arts and cultural commodities and the industries producing these commodities; (2) employment and compensation within these industries; (3) arts and cultural value added by industry; and (4) commodity-flow details for arts and cultural production products. In the data tables provided (click on "Other" in the Dataset(s) section), the statistics fall under two broad categories: (1) core arts and cultural production and (2) supporting arts and cultural production. The core category contains the commodities in which the output primarily contributes to arts and culture. Performing arts, museums, design services, and arts education are included in the core category. The supporting category consists of commodities that support the core category through publication, dissemination of the creative process, or other supportive functions. This category contains event promotion, printing, and broadcasting.

Six national-level data tables are provided for each year from 1998 to 2011:

• Table 1. Production of Commodities by Industry
• Table 2. Output and Value Added by Industry
• Table 3. Supply and Consumption of Commodities
• Table 4. Employment and Compensation of Employees by Industry
• Table 5. Total ACPSA-related Employment by Industry
• Table 6. Output by ACPSA Commodity

For the years 2012 to 2014, an additional seventh data table is added:

• Table 7. Real Output by Commodity

For years 2001-2014 a state-level employment data table is included. It contains estimates for each state annually of employment and compensation by industry, and comparisons with ACPSA employment and compensation by industry the same year. It also includes the annual total of employment in each state across the arts and cultural commodities industries.

In addition, estimates of real value added by industry and estimates of real gross output and prices indexes by ACPSA commodity are provided in separate Excel files (click on "Other" in the Dataset(s) section). The industries and commodities presented in the data are based on the 2007 North American Industrial Classification System (NAICS). Users are encouraged to review the Table Guide provided in the Dataset(s) section as it gives important information for all data tables. Also, users should review The NEA Guide to the U.S. Arts and Cultural Production Satellite Account and other related materials available on NEA's Arts Data Profile #12 and Arts Data Profile #13.

This dataset provides the basic building blocks for the USEEIO v1.1 model and life cycle results per $1 (2013 USD) demand for all goods and services in the model in the producer's price (see BEA 2015). The methodology underlying USEEIO is described in Yang, Ingwersen et al., 2017, with updates for v1.1 described in documentation supporting other USEEIO v1.1 datasets. This dataset is in the form of standard matrices. USEEIOv1.1 uses original names for goods and services, to distinguish them from the sector names provided by BEA which reflect industry names and not commodity names, but the BEA codes are maintained. The main model matrices are in green, A, B, and C; the result matrices are in gold, D, L, LCI, and U. Aggregate data quality scores are presented for B, D and U matrices in peach. Data quality scores use the US EPA data quality asssessment system, see US EPA 2016. Aggregated scores are calculated using a flow-weighted average approach as described in Edelen and Ingwersen 2017. References BEA (2015). Detailed Make and Use Tables in Producer Prices, 2007, Before Redefinitions. Bureau of Economic Analysis. https://www.bea.gov/iTable/index_industry_io.cfm Edelen, A. and W. Ingwersen (2017). "The creation, management and use of data quality information for life cycle assessment." International Journal of Life Cycle Assessment. http://dx.doi.org/10.1007/s11367-017-1348-1 US EPA 2016. Guidance on Data Quality Assessment for Life Cycle Inventory Data. US Environmental Protection Agency, National Risk Management Research Laboratory, Life Cycle Assessment Research Center, Washington, DC. https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=321834 Yang, Y., Ingwersen, W. W., Hawkins, T. R., Srocka, M., & Meyer, D. E. (2017). USEEIO: A new and transparent United States environmentally-extended input-output model. Journal of Cleaner Production, 158, 308-318. http://dx.doi.org/10.1016/j.jclepro.2017.04.150. This dataset is associated with the following publication: Yang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model. JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).

Three tables are provided of US commercial waste generation by NAICS codes for (1) Commercial non-hazardous waste (non-construction), (2) Commercial non-hazardous waste from construction, and (3) Commercial RCRA hazardous waste. The unique waste types within these three tables are defined in referenced sources. These national totals by NAICS are mapped to BEA (NAICS-based) detailed industries (388 total) from the BEA 2007 benchmark input-output tables. A crosswalk table is provided. Three satellite tables for the USEEIO model are provided using the mapped national waste totals and the industry gross output for the data year for that BEA industry after it has been adjusted to 2013 USD using the BEA industry-specific chain price index. See the associated manuscript for more details. The satellite table files are formatted for use in the USEEIO modeling framework (http://github.com/USEPA/useeio/) to incorporate into a USEEIO model. This dataset is associated with the following publication: Meyer, D.E., M. Li, and W.W. Ingwersen. Analyzing economy-scale solid waste generation using the United States environmentally-extended input-output model. Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam, NETHERLANDS, 157: 104795, (2020).

The National Greenhouse Gas Industry Attribution Model is dynamic model that attributes US Greenhouse Gas (GHG) emissions as reported in the US GHG Inventory [1] to industry sectors as classified by the Bureau of Economic Analysis in the 2012 detail benchmark input-output tables [2]. The model is valid for years 2010-2016 and uses the EPA GHG Inventory published in 2018. Data quality score associated with the EPA DQ system [3] for data reliability and technological correlation are assigned as described in Yang et al. 2017, Supporting Information 1 [4]. This model builds upon the USEEIO v1.1 GHG satellite table [5] and the Yale Center for Industrial Ecology USEEIO extensions v2.1 [6]. See the Documentation sheet in the file for a summary table describing the industry attribution approach to each USEPA GHGI emission item. References 1. USEPA, 2020. Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2018. https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2016 2. BEA, 2019a. Input-Output Accounts Data. https://www.bea.gov/industry/input-output-accounts-data 3. USEPA. 2016. Guidance on Data Quality Assessment for Life Cycle Inventory Data (Report). US Environmental Protection Agency, National Risk Management Research Laboratory, Life Cycle Assessment Research Center. https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=321834 4. Yang, Y., Ingwersen, W.W., Hawkins, T.R., Srocka, M., Meyer, D.E., 2017. USEEIO: A New and Transparent United States Environmentally-Extended Input-Output Model. Journal of Cleaner Production 158, 308–318. https://doi.org/10.1016/j.jclepro.2017.04.150 5. Ingwersen, W.W., Yang, Y., Gilkey, K., Li, M., 2017. USEEIOv1.1 - Satellite Tables. https://doi.org/10.23719/1365565 6. Berrill, P., Miller, T.R., 2019. CIE USEEIO extensions v2.1. https://doi.org/10.5281/zenodo.3386529. This dataset is associated with the following publication: Ingwersen, W., and M. Li. Supply Chain Greenhouse Gas Emission Factors for US Industries and Commodities. U.S. Environmental Protection Agency, Washington, DC, USA, 2020.

The dataset provides a set of Import Emission Factors (IEF) for USEEIO models developed using the GLORIA v059a model. The dataset accompanies Addendum 2 "Import Greenhouse Gas Emission and Material Factors Derived from GLORIA" to EPA report "Estimating embodied environmental flows in international imports for the USEEIO Model" (https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=362470). The import factors (IFs) are provided for 15 material categories and 18 GHG categories at the BEA summary and detail levels of sector resolution as reflected in file names. They represents an average for U.S imports that is derived as a weighted average of the import factors from all world regions/countries, weighted by quantity of imports. The sector codes for the import factor use the BEA 2017 NAICS based schema used in input-output tables which is the schema used by the associated USEEIO models. For example, US_summary_import_factors_gloria_2022_17sch.csv is a summary level IFs file. US_detail_import_factors_gloria_2022_17sch.csv is the detail level IEFs file. Concordance files are provided here that are used to map GLORIA commodities and countries to those used in USEEIO. The models are named according to an updated USEEIO naming scheme. See the supporting code on the USEEIO github site (link in references) for more details. This dataset is associated with the following publication: Ingwersen, W.W., J. Namovich, B. Young, and J. Vendries. Estimating embodied environmental flows in international imports for the USEEIO Model. U.S. Environmental Protection Agency, Washington, DC, USA, 2024.

Supporting data for 2 region and 51 region models assessed in the manuscript "Exploring the relevance of spatial scale to life cycle inventory results using environmentally-extended input-output models of the United States". Includes results of the correlation and relative errors analysis, results in kg/$ intensities for the 17 commodities from the 2 region models and the 51 region model, the 51-region model Make and Use tables, 10 NEI emissions and water withdrawal data aggregated by the 15 BEA sectors, interstate commodity flow data aggregated by BEA sectors between states, BEA national level Make and Use tables for 2012 at sector level, and state GDP data.

This dataset is associated with the following publication: Yang, Y., W. Ingwersen, and D. Meyer. Exploring the relevance of spatial scale to life cycle inventory results using environmentally-extended input-output models of the United States. ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY, 99: 52-57, (2018).

The dataset provides a set of Import Emission Factors (IEF) for USEEIO models developed using the GLORIA v059a model. The dataset accompanies Addendum 2 "Import Greenhouse Gas Emission and Material Factors Derived from GLORIA" to EPA report "Estimating embodied environmental flows in international imports for the USEEIO Model" (https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=362470). The import factors (IFs) are provided for 15 material categories and 18 GHG categories at the BEA summary and detail levels of sector resolution as reflected in file names. They represents an average for U.S imports that is derived as a weighted average of the import factors from all world regions/countries, weighted by quantity of imports. The sector codes for the import factor use the BEA 2017 NAICS based schema used in input-output tables which is the schema used by the associated USEEIO models. For example, US_summary_import_factors_gloria_2022_17sch.csv is a summary level IFs file. US_detail_import_factors_gloria_2022_17sch.csv is the detail level IEFs file. Concordance files are provided here that are used to map GLORIA commodities and countries to those used in USEEIO. The models are named according to an updated USEEIO naming scheme. See the supporting code on the USEEIO github site (link in references) for more details. This dataset is associated with the following publication: Ingwersen, W.W., J. Namovich, B. Young, and J. Vendries. Estimating embodied environmental flows in international imports for the USEEIO Model. U.S. Environmental Protection Agency, Washington, DC, USA, 2024.

The dataset provides a set of Import Emission Factors (IEF) for USEEIO models developed using the CEDA model (Watershed Technology, Inc.) along with example USEEIO models built with them for year 2022 and supporting information . The dataset accompanies the addendum "Import Greenhouse Gas Emission Factors Derived from CEDA 2024" to EPA report "Estimating embodied environmental flows in international imports for the USEEIO Model" (https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=362470). This dataset is analogous to the "USEEIO Models with Import Emission Factors for Greenhouse Gases for 2017-2022 from EXIOBASE coupled model" dataset (https://doi.org/10.23719/1531676), but its uses CEDA instead of EXIOBASE as the coupled model. See the aforementioned addendum for more information. The factors are provided at the BEA summary and detail levels of sector resolution as reflected in file names. The sector codes for the import factor use the BEA 2017 NAICS based schema used in input-output tables which is the schema used by the associated USEEIO models. US_summary_import_factors_ceda_2022_17sch.csv is the summary level IEFs file and USEEIOv2.4-oriole-22.xlsx is the USEEIO model created with them. US_detail_import_factors_ceda_2022_17sch.csv is the detail level IEFs file and USEEIOv2.4-catbird-22.xlsx is the USEEIO model created with them. Various supporting links and files are provided. Concordance files are provided here that are used to map CEDA commodities and countries to those used in USEEIO (and also available online) to create the import emission factors. The models are named according to an updated USEEIO naming scheme. See the supporting code on the USEEIO github site (link in references) for more details. Model specification files for the detail USEEIO model (USEEIOv2.4-catbird-22.yml) and for the summary model (USEEIOv2.4-oriole-22.yml) that are used to create the USEEIO models in useeior are provided. See the model specification and model data formats on the useeior github site (link in references) for more details. This dataset is associated with the following publication: Ingwersen, W.W., J. Namovich, B. Young, and J. Vendries. Estimating embodied environmental flows in international imports for the USEEIO Model. U.S. Environmental Protection Agency, Washington, DC, USA, 2024.

These files contain the environmental data as particular emissions or resources associated with a BEA sectors that are used in the USEEIO model. They are organized by the emission or resources type, as described in the manuscript. The main files (without SI) show the final "satellite tables" in the 'Exchanges' sheet which have emissions or resource use per USD for 2013. The other sheets in these files provide meta data for the create of the tables, including general information, sources, etc. The 'export' sheet is used for saving the satellite table for csv export. The data dictionary describes the fields in this sheet. The supporting files provide all the details data transformation and organization for the development of the satellite tables. This dataset is associated with the following publication: Yang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model. JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).

This dataset is part of the USEEIO v1.1 model release. It provides the elementary flows used in the USEEIO v1.1 Satellite Tables (DOI: 10.23719/1365565) and their matching characterization factors for the various indicators. The indicators are described and categorized. An original mapping file is also provided that shows the correspondence between original source names for resources, emissions, land, etc and USEEIO elementary flows. This dataset supersedes USEEIO Elementary Flows and Life Cycle Impact Assessment (LCIA) Characterization Factors(https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B8A87EE76-F047-43E1-A4B3-9D83BAE110C4%7D). It can be exported as a .csv file and used with the exported satellite tables and BEA 2007 Make and Use tables to build USEEIO v1.1 using the IO Model Builder (https://github.com/USEPA/IO-Model-Builder). This dataset is associated with the following publication: Yang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model. JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).