These data represent an update to the dataset, "State IO Two-Region Economic Input-Output Models for 50 U.S. States 2012-2017" based on the methods described by Li et al. (2022). They are an update to that dataset published with an expanded time series. These models were produced with the stateior R package, v0.4.0. Excel files (50 in total) are provided for two region (State of Interest and Rest of U.S.) Make and Use tables for each U.S. State IO model for years 2012-2023. Additional data files supporting this release including all intermediate and final products in native R format (.RDS) and can be opened directly in R software or through the stateior package. See the stateior github page for more details. https://dmap-data-commons-ord.s3.amazonaws.com/index.html#stateio/ All values are in current dollar years (e.g "Make 2012" is the Make table in 2012 USD in a given model). For a description of the methods used and survey of results see the Addendum 1 on the EPA Science Inventory page for the original publication. Please cite this dataset as: Young, Ben, Julie Chen, Jorge Vendries, and Wesley Ingwersen. 2025. “StateIO v0.4.0 Two-Region Economic Input-Output Models for 50 U.S. States: 2012-2023.” Data.gov. https://doi.org/10.23719/1532211. This dataset is associated with the following publication: Li, M., J. Ferreira, C.D. Court, D. Meyer, M. Li, and W.W. Ingwersen. StateIO - Open Source Economic Input-Output Models for the 50 States of the United States of America. International Regional Science Review. SAGE Publications, THOUSAND OAKS, CA, USA, 46(4): 428-481, (2023).
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United States BoP: IO: CA: Exp: Primary Income (PI) data was reported at 10.523 USD bn in Mar 2018. This records a decrease from the previous number of 10.580 USD bn for Dec 2017. United States BoP: IO: CA: Exp: Primary Income (PI) data is updated quarterly, averaging 7.973 USD bn from Mar 2003 (Median) to Mar 2018, with 61 observations. The data reached an all-time high of 10.602 USD bn in Sep 2017 and a record low of 5.336 USD bn in Mar 2006. United States BoP: IO: CA: Exp: Primary Income (PI) data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.JB011: Balance of Payments: BPM6: International Organizations and Unallocated.
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License information was derived automatically
United States BoP: IO: CA: Exp: Secondary Income data was reported at 1.570 USD bn in Mar 2018. This records a decrease from the previous number of 1.656 USD bn for Dec 2017. United States BoP: IO: CA: Exp: Secondary Income data is updated quarterly, averaging 1.262 USD bn from Mar 2003 (Median) to Mar 2018, with 61 observations. The data reached an all-time high of 1.656 USD bn in Dec 2017 and a record low of 689.000 USD mn in Sep 2003. United States BoP: IO: CA: Exp: Secondary Income data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.JB011: Balance of Payments: BPM6: International Organizations and Unallocated.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States BoP: IO: CA: Imp: Primary Income (PI) data was reported at 10.034 USD bn in Mar 2018. This records an increase from the previous number of 9.233 USD bn for Dec 2017. United States BoP: IO: CA: Imp: Primary Income (PI) data is updated quarterly, averaging 5.635 USD bn from Mar 2003 (Median) to Mar 2018, with 61 observations. The data reached an all-time high of 10.034 USD bn in Mar 2018 and a record low of 4.831 USD bn in Mar 2011. United States BoP: IO: CA: Imp: Primary Income (PI) data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.JB011: Balance of Payments: BPM6: International Organizations and Unallocated.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States BoP: IO: CA: Imp: Secondary Income data was reported at 3.521 USD bn in Mar 2018. This records a decrease from the previous number of 4.871 USD bn for Dec 2017. United States BoP: IO: CA: Imp: Secondary Income data is updated quarterly, averaging 3.160 USD bn from Mar 2003 (Median) to Mar 2018, with 61 observations. The data reached an all-time high of 7.801 USD bn in Sep 2016 and a record low of 1.069 USD bn in Sep 2004. United States BoP: IO: CA: Imp: Secondary Income data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.JB011: Balance of Payments: BPM6: International Organizations and Unallocated.
Comprehensive dataset of 23,396 Life coaches in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
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Institutions of higher education (IHE) throughout the United States have a long history of acting out various levels of commitment to diversity advancement, equity, and inclusion (DEI). Despite decades of DEI “efforts,” the academy is fraught with legacies of racism that uphold white supremacy and prevent marginalized populations from full participation. Furthermore, politicians have not only weaponized education but passed legislation to actively ban DEI programs and censor general education curricula (https://tinyurl.com/antiDEI). Ironically, systems of oppression are particularly apparent in the fields of Ecology, Evolution, and Conservation Biology (EECB)–which recognize biological diversity as essential for ecological integrity and resilience. Yet, amongst EECB faculty, people who do not identify as cis-heterosexual, non-disabled, affluent white males are poorly represented. Furthermore, IHE lack metrics to quantify DEI as a priority. Here we show that only 30.3% of US-faculty positions advertised in EECB from Jan 2019-May 2020 required a diversity statement; diversity statement requirements did not correspond with state-level diversity metrics. Though many announcements “encourage women and minorities to apply,” empirical evidence demonstrates that hiring committees at most institutions did not prioritize an applicant’s DEI advancement potential. We suggest a model for change and call on administrators and faculty to implement SMART (i.e., Specific, Measurable, Achievable, Realistic, and Timely) strategies for DEI advancement across IHE throughout the United States. We anticipate our quantification of diversity statement requirements relative to other application materials will motivate institutional change in both policy and practice when evaluating a candidate’s potential “fit”. IHE must embrace a leadership role to not only shift the academic culture to one that upholds DEI, but to educate and include people who represent the full diversity of our society. In the current context of political censure of education including book banning and backlash aimed at Critical Race Theory, which further reinforce systemic white supremacy, academic integrity and justice are more critical than ever. Methods Here we investigated the (lack of) process in faculty searches at IHE for evaluating candidates’ ability to advance DEI objectives. We quantified the prevalence of required diversity statements relative to research and/or teaching statements for all faculty positions posted to the Eco-Evo Jobs Board (http://ecoevojobs.net) from January 2019 - May 2020 as a proxy for institutional DEI prioritization (Supplement). We also mapped the job posts that required diversity statements geographically to gauge whether and where diversity is valued in higher education across the US. Data analysis We pulled all faculty jobs posted on Eco-Evo jobs board (http://ecoevojobs.net) from Jan 1, 2019, to May 31, 2020. For each position, we recorded the Location (i.e., state), Subject Area, Closing Date, Rank, whether or not the position is Tenure Track, and individual application materials (i.e., Research statement, Teaching statement, combined Teaching and Research statement, Diversity statement, Mentorship statement). Of the 543 faculty positions posted during this time, we eliminated 299 posts because the web links were broken or application information was no longer available (i.e., “NA”), leaving 244 faculty job posts. For each of the retained posts, we coded the requirement of teaching, research, diversity, and/or mentorship statements as follows:
"Yes” = statement required “No” = statement not required “Other” = application materials did not explicitly require a Diversity Statement (i.e., option or suggested that applicants include a statement on diversity and inclusion as a component of their teaching and/or research statement or in their cover letter)
Data visualization We created a Sankey diagram using Sankey Flow Show (THORTEC Software GmbH: www.sankeyflowshow.com) to compare diversity and representation from the general population, through (Science, Technology, Engineering, and Mathematics) STEM academia (a career hierarchy often referred to as the “leaky pipeline”). We procured population data from the US Census Bureau (US Department of Commerce: https://www.census.gov/quickfacts/fact/table/US/PST045219) and quantified the diversity/representation in Conservation Biology (https://datausa.io/profile/cip/ecology-evolution-systematics-population-biology#demographics) and Ecology (https://datausa.io/profile/cip/conservation-biology) using Data USA (developed by Deloitte Touche Tohmatsu Limited and Datawheel). We used the 2015 Diversity Index (produced by PolicyLink and the USC Program for Environmental and Regional Equity: https://nationalequityatlas.org/indicators/Diversity_index/Ranking:33271/United_States/false/Year(s):2015/) to quantify relative ethnic diversity per state, and graphed Figure 2B using the tidyverse, rgdal, broom, and rgeos packages in R (see Base code used to produce Figure 2 in R, below). The Diversity index measures the representation of White, Black, Latino, Asian/Pacific Islander, Native American, and Mixed/other race in a given population. A maximum possible diversity score (1.79) would indicate even representation of all ethnic/racial groups. We checked all figures using the Color Blindness Simulator (ColBlindor: https://www.color-blindness.com/coblis-color-blindness-simulator/) to maintain inclusivity.
Comprehensive dataset of 52 Flowers in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
Comprehensive dataset of 11,268 Trailer dealers in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
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License information was derived automatically
United States BoP: IO: CA: Imp: PI: Investment Income (II) data was reported at 10.034 USD bn in Mar 2018. This records an increase from the previous number of 9.233 USD bn for Dec 2017. United States BoP: IO: CA: Imp: PI: Investment Income (II) data is updated quarterly, averaging 5.635 USD bn from Mar 2003 (Median) to Mar 2018, with 61 observations. The data reached an all-time high of 10.034 USD bn in Mar 2018 and a record low of 4.831 USD bn in Mar 2011. United States BoP: IO: CA: Imp: PI: Investment Income (II) data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.JB011: Balance of Payments: BPM6: International Organizations and Unallocated.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States BoP: IO: CA: Exp: PI: Investment Income (II) data was reported at 9.555 USD bn in Mar 2018. This records a decrease from the previous number of 9.620 USD bn for Dec 2017. United States BoP: IO: CA: Exp: PI: Investment Income (II) data is updated quarterly, averaging 6.931 USD bn from Mar 2003 (Median) to Mar 2018, with 61 observations. The data reached an all-time high of 9.644 USD bn in Sep 2017 and a record low of 4.439 USD bn in Mar 2006. United States BoP: IO: CA: Exp: PI: Investment Income (II) data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.JB011: Balance of Payments: BPM6: International Organizations and Unallocated.
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License information was derived automatically
United States BoP: IO: CA: Imports of Goods, Services & Income data was reported at 14.584 USD bn in Mar 2018. This records an increase from the previous number of 14.169 USD bn for Dec 2017. United States BoP: IO: CA: Imports of Goods, Services & Income data is updated quarterly, averaging 9.375 USD bn from Mar 2003 (Median) to Mar 2018, with 61 observations. The data reached an all-time high of 16.538 USD bn in Sep 2016 and a record low of 6.926 USD bn in Jun 2006. United States BoP: IO: CA: Imports of Goods, Services & Income data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.JB011: Balance of Payments: BPM6: International Organizations and Unallocated.
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License information was derived automatically
United States BoP: Intl Org & Unallocated (IO): CA: Exp of Goods, Svcs & Income data was reported at 12.708 USD bn in Mar 2018. This records a decrease from the previous number of 12.856 USD bn for Dec 2017. United States BoP: Intl Org & Unallocated (IO): CA: Exp of Goods, Svcs & Income data is updated quarterly, averaging 9.943 USD bn from Mar 2003 (Median) to Mar 2018, with 61 observations. The data reached an all-time high of 12.856 USD bn in Dec 2017 and a record low of 7.297 USD bn in Mar 2006. United States BoP: Intl Org & Unallocated (IO): CA: Exp of Goods, Svcs & Income data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.JB011: Balance of Payments: BPM6: International Organizations and Unallocated.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States BoP: IO: Capital: Transfer Receipts & Other Credits data was reported at 0.000 USD mn in Mar 2018. This stayed constant from the previous number of 0.000 USD mn for Dec 2017. United States BoP: IO: Capital: Transfer Receipts & Other Credits data is updated quarterly, averaging 0.000 USD mn from Mar 2003 (Median) to Mar 2018, with 61 observations. United States BoP: IO: Capital: Transfer Receipts & Other Credits data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.JB011: Balance of Payments: BPM6: International Organizations and Unallocated.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States BoP: IO: Statistical Discrepancy data was reported at -10.464 USD bn in Mar 2018. This records an increase from the previous number of -22.106 USD bn for Dec 2017. United States BoP: IO: Statistical Discrepancy data is updated quarterly, averaging -4.607 USD bn from Mar 2003 (Median) to Mar 2018, with 61 observations. The data reached an all-time high of 12.028 USD bn in Jun 2009 and a record low of -46.415 USD bn in Mar 2014. United States BoP: IO: Statistical Discrepancy data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.JB011: Balance of Payments: BPM6: International Organizations and Unallocated.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States BoP: IO: Balance on Secondary Income data was reported at -2.981 USD bn in Jun 2018. This records a decrease from the previous number of -1.947 USD bn for Mar 2018. United States BoP: IO: Balance on Secondary Income data is updated quarterly, averaging -1.777 USD bn from Mar 2003 (Median) to Jun 2018, with 62 observations. The data reached an all-time high of -266.000 USD mn in Sep 2004 and a record low of -6.257 USD bn in Sep 2016. United States BoP: IO: Balance on Secondary Income data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s United States – Table US.JB009: BPM6: Balance of Payments: International Organizations and Unallocated.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States BoP: IO: CA: Exp: PI: Compensation of Employees data was reported at 968.000 USD mn in Mar 2018. This records an increase from the previous number of 960.000 USD mn for Dec 2017. United States BoP: IO: CA: Exp: PI: Compensation of Employees data is updated quarterly, averaging 992.000 USD mn from Mar 2003 (Median) to Mar 2018, with 61 observations. The data reached an all-time high of 1.145 USD bn in Sep 2013 and a record low of 897.000 USD mn in Dec 2006. United States BoP: IO: CA: Exp: PI: Compensation of Employees data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.JB011: Balance of Payments: BPM6: International Organizations and Unallocated.
These data represent an update to the dataset, "State IO Two-Region Economic Input-Output Models for 50 U.S. States 2012-2017" based on the methods described by Li et al. (2022). They are an update to that dataset published with an expanded time series. These models were produced with the stateior R package, v0.4.0. Excel files (50 in total) are provided for two region (State of Interest and Rest of U.S.) Make and Use tables for each U.S. State IO model for years 2012-2023. Additional data files supporting this release including all intermediate and final products in native R format (.RDS) and can be opened directly in R software or through the stateior package. See the stateior github page for more details. https://dmap-data-commons-ord.s3.amazonaws.com/index.html#stateio/ All values are in current dollar years (e.g "Make 2012" is the Make table in 2012 USD in a given model). For a description of the methods used and survey of results see the Addendum 1 on the EPA Science Inventory page for the original publication. Please cite this dataset as: Young, Ben, Julie Chen, Jorge Vendries, and Wesley Ingwersen. 2025. “StateIO v0.4.0 Two-Region Economic Input-Output Models for 50 U.S. States: 2012-2023.” Data.gov. https://doi.org/10.23719/1532211. This dataset is associated with the following publication: Li, M., J. Ferreira, C.D. Court, D. Meyer, M. Li, and W.W. Ingwersen. StateIO - Open Source Economic Input-Output Models for the 50 States of the United States of America. International Regional Science Review. SAGE Publications, THOUSAND OAKS, CA, USA, 46(4): 428-481, (2023).