\documentclass[11pt]{article} \usepackage{multicol} \usepackage{geometry} \usepackage{setspace} \usepackage{subcaption} \usepackage{booktabs} \usepackage{threeparttable} \usepackage{graphicx} \usepackage{longtable} \usepackage{amssymb} \usepackage[utf8]{inputenc} \usepackage[dcucite]{harvard} \usepackage{amsmath} \usepackage{color} \usepackage{setspace} \usepackage{hyperref} \usepackage[T1]{fontenc} \usepackage{array} \usepackage{ragged2e} \usepackage{subcaption} \usepackage{array} \usepackage{tikz} \usepackage{makecell} \usepackage{multirow} \usepackage{rotating} \usepackage{wrapfig} \usepackage{tabularray} \usetikzlibrary{decorations.pathreplacing} \usepackage{indentfirst} \usetikzlibrary{mindmap} \usepackage{tikz-qtree} \tikzstyle{every picture}+=[remember picture] \usetikzlibrary{arrows,shapes,positioning,shadows,trees} \usetikzlibrary{shapes.geometric, arrows} \usepackage[table]{colortbl}% http:\\ctan.org/pkg/xcolor \usepackage{lscape} \usepackage[strict]{changepage} \usepackage{caption,booktabs} \usepackage{color,soul} \usepackage{changepage} \usepackage{url} \usepackage{threeparttablex} \usepackage{makecell} \usepackage[export]{adjustbox} \usepackage{float} \usepackage{pdflscape} \usepackage{rotating} \usepackage[nottoc]{tocbibind} \usepackage{natbib} \usepackage{siunitx} \usepackage{textpos} \usepackage[usenames,dvipsnames]{xcolor} \tikzstyle{processg} = [rectangle, minimum width=3.5cm, minimum height=2cm, text centered, text width=3.5cm, draw=black, fill=blue!20] \setlength{\topmargin}{0.1in} \setlength{\headheight}{0in} \setlength{\headsep}{0in} \setlength{\topskip}{0in} \setlength{\textheight}{8.5in} \setlength{\oddsidemargin}{0in} \setlength{\evensidemargin}{0in} \setlength{\textwidth}{6.5in} \newcommand\inv[1]{#1\raisebox{1.15ex}{$\scriptscriptstyle-\!1$}} \renewcommand\theadalign{l} \makeatletter \setlength{\@fptop}{0pt} \makeatother % ends here \setlength{\TPHorizModule}{1cm} \setlength{\TPVertModule}{1cm} \newcommand{\update}[1]{{\color{red}#1}} \newcommand{\note}[1]{{\color{blue}\emph{[#1]}}} \newcommand{\new}[1]{{\color{magenta}#1}} \begin{document} \thispagestyle{empty} { \fontfamily{phv}\selectfont \begin{center} {\LARGE \textbf{Disaggregating U.S. Labor Statistics}} \\ \vspace{0.25in} {\LARGE \textbf{for the}} \\ \vspace{0.25in} {\LARGE \textbf{GTAP Computable General Equilibrium Model }} \\ \vspace{1.5in} {\Large Meryem Demirkaya} \\\vspace{.25in} {\Large Huyen Nguyen} \\\vspace{.25in} {\Large Marinos Tsigas} \\\vspace{.25in} {\Large Wen Jin “Jean” Yuan} \\\vspace{.25in} \vspace{1.in} {\large ECONOMICS WORKING PAPER SERIES}\\ Working Paper 2025--11--A \\ \vspace{0.5in} U.S. INTERNATIONAL TRADE COMMISSION \\ 500 E Street SW \\ Washington, DC 20436 \\ \vspace{0.5in} November 2025 \\ \end{center} \vfill \noindent The views expressed solely represent the opinions and professional research of the authors. The content of the working paper is not meant to represent the views of the U.S. International Trade Commission, any of its individual Commissioners, or the United States government. \newpage \thispagestyle{empty} \begin{flushleft} Disaggregating U.S. Labor Statistics for the GTAP Computable General Equilibrium Model \\ Meryem Demirkaya, Huyen Nguyen, Marinos Tsigas and Wen Jin “Jean” Yuan \\ Economics Working Paper 2025--11--A \\ November 2025 \\~\\ \end{flushleft} \vfill \begin{abstract} \noindent This paper presents a new database that disaggregates U.S. labor data within the Global Trade Analysis Project (GTAP) model into 22 different occupations. Building on and refining the methodology of Carrico et al.(2012), we construct detailed occupation-by-sector tables for the U.S. economy using survey data from the U.S. Bureau of Labor Statistics (BLS) and the U.S. Department of Agriculture (USDA). We document the data sources, processing steps, and methodological enhancements used to generate 2019 wage and employment tables for integration into the GTAP model framework. The standard GTAP model includes only five broad labor categories. The five-category aggregation can obscure important occupational differences in labor market outcomes. The tables we developed can be used to split the data on payments to labor services in the GTAP model, thereby enabling a more granular representation of labor categories. By disaggregating U.S. labor data within the GTAP model into 22 distinct occupations, the model becomes more suitable for forward-looking counterfactual analyses that examine how economic changes affect workers in different occupations across the U.S. labor market. \end{abstract} \vfill \begin{flushleft} \begin{multicols}{2} Meryem Demirkaya \\ Front Office, Office of Economics\\ U.S. International Trade Commission\\ meryem.demirkaya@usitc.gov \\ \vspace{2em} Marinos Tsigas \\ Independent Research Economist \\ marinos.tsigas@gmail.com \\ \vspace{2em} \columnbreak Huyen Nguyen \\ Front Office, Office of Economics\\ U.S. International Trade Commission\\ huyen.nguyen@usitc.gov \\ \vspace{2em} Wen Jin “Jean” Yuan \\ Country and Regional Analysis Division, Office of Economics\\ U.S. International Trade Commission\\ wen.yuan@usitc.gov \\ \vspace{2em} \end{multicols} \end{flushleft} } % end of helvetica (arial) font \clearpage \newpage \doublespacing \section{Introduction} Computable general equilibrium (CGE) models have been widely used to analyze the impact of economic shocks on national and sectoral outcomes (\cite{nilsson_2018}). In particular, the GTAP CGE model, a multi-country, multi-sector CGE model, has been used frequently to estimate the impact of a variety of economic shocks (\cite{tongeren_2017}). Although wage and employment are an integral part of the general equilibrium effects captured in the GTAP CGE model, the standard GTAP CGE model is limited in its capacity to analyze how different types of economic shocks affect workers in different occupations differently, as it only includes five labor categories: technicians/professionals, officials and managers, clerks, service workers, and agricultural and other unskilled workers. Consequently, it only produces simulation results of national-level wage changes for each of the five labor categories. To enhance the GTAP model’s suitability for forward-looking counterfactual analyses that assess more detailed labor market effects due to changes in economic shocks, in this paper, we update and improve a methodology of Carrico et al. (2012) to break down labor data by occupation within the GTAP model for the U.S. economy. This is done by integrating data from the U.S. Bureau of Labor Statistics’ Occupational Employment Statistics Survey and the U.S. Department of Agriculture’s Census of Agriculture. For the GTAP model with a 2019 baseline, we generate occupation-by-sector tables for the year 2019, which include employment, average annual wage and total wage bill. The final table, the wage bill, can be used in the GTAP model to disaggregate U.S. labor data into 22 different occupations. \section{Data Sources} \subsection{BLS-Occupational Employment and Wage Statistics (OEWS)} \subsubsection*{Key Concepts} The U.S. Bureau of Labor Statistics conducts the Occupational Employment and Wage Statistics (OEWS) survey, which is a semi-annual survey of nonfarm business establishments that measures occupational employment and wage rates.\footnote{Total employment and mean annual wage by occupation and by NAICS industry reported by non-farm business establishments is the unit of observation.} We plan to incorporate the labor data into a 2019 GTAP model baseline. Therefore, our paper uses the 2019 OEWS data. The BLS Handbook of Methods provides definitions of concepts often used in this paper, which are the following:\footnote{Bureau of Labor Statistics, U.S. Department of Labor. Concepts: Handbook of Methods: U.S. Bureau of Labor Statistics. \url{https://www.bls.gov/opub/hom/oews/concepts.htm}.} \textit{Occupations} is defined as a set of activities or tasks that employees are paid to perform. Employees that perform essentially the same tasks are in the same occupation, whether or not they work in the same industry.\footnote{Bureau of Labor Statistics, U.S. Department of Labor. Handbook of Methods: Glossary. \url{https://www.bls.gov/opub/hom/glossary.htm}} Occupations are designated based on the type of work and on the necessary skills. It is important to note that the employee’s education is not considered during the occupation designation; for example, if an employee is a teacher by training but works as mechanical technician, the employee is classified as mechanical technician. Employees with more than one job are classified based on the skill level. The occupation that requires more skills will be reported and if the skill requirement is the same, then the occupations that takes more time is reported. Employees that partake in work-related training, apprentices and trainees are reported in the occupation that they receive training for. \textit{Establishment} is "the physical location of a certain economic activity", i.e. stories, factories, and restaurants.\footnote{Bureau of Labor Statistics, U.S. Department of Labor. Concepts: Handbook of Methods: U.S. Bureau of Labor Statistics.\url{https://www.bls.gov/opub/hom/oews/concepts.htm}. Bureau of Labor Statistics, U.S. Department of Labor. Handbook of Methods: Glossary. \url{https://www.bls.gov/opub/hom/glossary.htm}} If more than one economic activity occurs in a single location, the establishment is considered as two separate locations with the condition that separate payroll records exists and other benchmarks are met.\footnote{Bureau of Labor Statistics, U.S. Department of Labor. Concepts: Handbook of Methods: U.S. Bureau of Labor Statistics. \url{https://www.bls.gov/opub/hom/oews/concepts.htm}; Bureau of Labor Statistics, U.S. Department of Labor. Survey Methods and Reliability Statement for MB3 Research Estimates of the Occupational Employment and Wage Statistics Survey.} Surveyors allot a 6-digit NAICS code to each establishment. \textit{Employment} in the OEWS data refers to the number of full-time and part-time workers in non-farm establishments; examples of workers include workers on paid leave, salaried officers, executives, and staff members of incorporated firms, employees temporarily assigned to other units, and noncontract employees stationed at a permanent duty station. This survey excludes self-employed workers, owners and partners in sole proprietorship firms, household workers and paid family workers.\footnote{The 2019 employment statistics were scaled to the 2019 population employment level. BLS scales employment by multiplying employment per occupation by a ratio estimator. The ratio estimator uses the average November 2018 and May 2019 employment totals from the BLS Quarterly Census of employment (QCEW) and employment totals from the OEWS survey. Scaling allows the OEWS data to be compatible with the QCEW data which covers more than 95 percent of U.S. jobs. Bureau of Labor Statistics, U.S. Department of Labor. Occupational Employment and Wage Statis- tics: Overview.\url{https://www.bls.gov/opub/hom/oews/};Bureau of Labor Statistics, U.S. Department of Labor. Quarterly Census of Employment and Wages. \url{https://www.bls.gov/cew/overview.htm}.} The Standard Occupational Classification (SOC) is used to classify workers into occupations in the OEWS survey.\footnote{Bureau of Labor Statistics, U.S. Department of Labor. Standard Occupational Classification (SOC) System.\url{https://www.bls.gov/soc/2018/}.} The 2019 OEWS survey has about 800 occupational categories aggregated up to 23 major occupation groups, of which 22 are recorded in the 2019 OEWS data; Military Specific occupations are not included in the data. These estimates are constructed using data reported using the 2018 SOC classification (see table \ref{tab:SOC_classification} for the major SOC groups).\footnote{Bureau of Labor Statistics, U.S. Department of Labor. Technical notes for May 2019 OES estimates.\url{https://www.bls.gov/oes/2019/may/oes_tec.htm}. Bureau of Labor Statistics, U.S. Department of Labor. Standard Occupational Classification.\url{https://www.bls.gov/soc/}.} \begin{table}[H] \singlespacing \centering \footnotesize \caption{2018 Standard Occupational Classification Major groups in the 2019 May OEWS data} \label{tab:SOC_classification} \begin{tabular}{>{\centering\arraybackslash}p{3cm}p{9cm}}\toprule SOC Major Group &SOC Major Group Description \\\midrule 11 & Management Occupations\\ 13 & Business and Financial Operations Occupations\\ 15 & Computer and Mathematical Occupations \\ 17 & Architecture and Engineering Occupations\\ 19 & Life, Physical, and Social Science Occupations\\ 21 & Community and Social Service Occupations\\ 23 & Legal Occupations\\ 25 & Educational Instruction and Library Occupations\\ 27 & Arts, Design, Entertainment, Sports, and Media Occupations\\ 29 & Healthcare Practitioners and Technical Occupations\\ 31 & Healthcare Support Occupations\\ 33 & Protective Service Occupations\\ 35 & Food Preparation and Serving Related Occupations\\ 37 & Building and Grounds Cleaning and Maintenance Occupations\\ 39 & Personal Care and Service Occupations\\ 41 & Sales and Related Occupations\\ 43 & Office and Administrative Support Occupations\\ 45 & Farming, Fishing, and Forestry Occupations\\ 47 & Construction and Extraction Occupations\\ 49 & Installation, Maintenance, and Repair Occupations\\ 51 & Production Occupations\\ 53 & Transportation and Material Moving Occupations\\\bottomrule \end{tabular} \end{table} \textit{Wage} is the total amount of money that is earned in a pay period. In the calculation of wage, base rate pay, cost-of-living allowances, guaranteed pay, hazardous-duty pay, incentive pay such as commissions and production bonuses, and tips are included. On the other hand, overtime pay, severance pay, shift differentials, nonproduction bonuses, employer costs for supplementary benefits, and tuition reimbursements are excluded. Federal government, the U.S. Postal Service (USPS), and most state governments report individual wage rates for workers.\footnote{Bureau of Labor Statistics, U.S. Department of Labor. Technical notes for may 2019 OES estimates. \url{https://www.bls.gov/oes/2019/may/oes_tec.htm}.} \textit{Industries} are classified by the North American Industry Classification System (NAICS). The 2019 OEWS survey data use the 2017 NAICS revision.\footnote{Bureau of Labor Statistics, U.S. Department of Labor. Technical notes for may 2019 OES estimates. \url{https://www.bls.gov/oes/2019/may/oes_tec.htm}; U.S. Census Bureau. North American Industry Classification System. \url{https://www.census.gov/naics/}.} \subsection{USDA Census of Agriculture} \subsubsection*{Overview} As the OEWS only includes non-farm commercial enterprises, we rely on data from the Census of Agriculture conducted by the Department of Agriculture (USDA) to encompass agricultural sectors.\footnote{According to BLS-OEWS methodology documentation, there are 7 NAICS industries that are not surveyed; These industries are NAICS 111 Crop Production, NAICS 112 Animal Production, NAICS 1131 Timber Tract Operations, NAICS 1131 Timber Tract Operations, NAICS 1132 Forest Nurseries and Gathering of Forest Products, NAICS 114 Fishing, Hunting, and Trapping, NAICS 1153 Support Activities for Forestry and NAICS 814 Private Households. See BLS Frequently Asked Questions for more: \url{https://www.bls.gov/oes/oes_ques.htm}.} The Census of Agriculture, conducted biennially by the National Agricultural Statistical Services (NASS) of the USDA, gathers extensive agricultural data for each county in the United States. Only farms that satisfy the NASS farm definition, which refers to an operation that generates or often generates and sells agricultural products amounting to \$1,000 or more annually, are included. Since 1997, the Census has employed the NAICS codes to categorize agricultural production facilities based on a unified principle of aggregation, which groups together production units that employ similar production methods. The USDA Census of Agriculture is conducted every five years. We use the 2017 Census data, the latest available, to construct wage and employment statistics for the agricultural sectors to align with a 2019 GTAP model baseline.\footnote{See the following for more information: \url{https://www.nass.usda.gov/AgCensus/}.} The 2017 census utilizes fourteen primary NAICS classifications in Table 75, titled "Summary by North American Industry Classification System: 2017." The Census provides comprehensive data on farm establishments, including information on land use, output, product sales, government payments, and production expenses. For labor disaggregation, we utilize data pertaining to farm operators and hired farm labor. \subsubsection*{Key Elements and Data} \textit{Farm producers}\footnote{The term “operators” has been replaced with the term “producers”. U.S. Department of Agriculture, National Agricultural Statistics Service (2022b). 2017 Census of Agriculture. pp.764. \url{https://www.nass.usda.gov/Publications/AgCensus/2017/Full_Report/Volume_1,_Chapter_1_US/usv1.pdf}.} A farm producer is an individual responsible for making decisions related to various aspects of a farm operation, such as planting, harvesting, livestock management, and marketing. The farm producer can be the owner of the farm, a member of the owner's household, a hired manager, a tenant, a renter, or a sharecropper. If someone rents out their land or has others work on their land in exchange for a share of the produce, they are considered the producer only for the portion of land they retain for their own operation. The census collected information for up to four operators per farm.\footnote{U.S. Department of Agriculture, National Agricultural Statistics Service (2022b). 2017 Census of Agriculture. pp. 767. \url{https://www.nass.usda.gov/Publications/AgCensus/2017/Full_Report/Volume_1,_Chapter_1_US/usv1.pdf}.} We categorize farm producers as “SOC11-management occupations”.\footnote{Carrico, C., L. Z. Jones, and M. E. Tsigas (2012a). Disaggregate U.S. Labor Statistics for the USAGE 2.0 and GTAP Applied General Equilibrium Models. SSRN Electronic Journal , 5. \url{https://doi.org/10.2139/ssrn.2169415}.} The Census reports number of farm producers, and information on principal producers such as their number of days worked off farm. Following \cite{caitlyn_carrico_disaggregate_2012}, we adjust the employment counts for farm producers by scaling reported time worked on the farm to calculate “year-round, fulltime” equivalents.\footnote{Carrico, C., L. Z. Jones, and M. E. Tsigas (2012a). Disaggregate U.S. Labor Statistics for the USAGE 2.0 and GTAP Applied General Equilibrium Models. SSRN Electronic Journal , 5. \url{https://doi.org/10.2139/ssrn.2169415}.} For instance, for those with the category “1 to 49 days worked off farm”, we use the scaling factor of [ 1 - ( (1+49) ⁄ 2 )/ 365 = 0.9315]. For other categories, “50 to 99 days off farm”, “100 to 199 days off farm” and “200 days or more off farm”, we apply a similar calculation and use 0.7959, 0.5904, and 0.2274 consecutively as the scaling factor. \textit{Hired farm worker} Hired farmworkers include field crop workers, nursery workers, livestock workers, graders and sorters, agricultural inspectors, supervisors, and hired farm managers. We categorize hired farm worker as “SOC45-farming, fishing and forestry occupations”. We adjusted the employment counts for hired farm worker by scaling reported time spent working on the farm to produce “year-round, full-time” equivalents. For instance, the Census divides hired farm labor into two categories by days worked on farm: 150 days or more, and less than 150 days. For the first category, we use the scaling factor of [((150+365)⁄2)/365]. For the second category, we use the scaling factor of [((1+149)⁄2)/365]. \\ \textit{Wages of hire farm workers and farm producers} As the Census does not report hourly or annual wages of farm producers, we used information on farm labor provided by the Economic Research Service (ERS). According to the ERS, the average hourly wage of hired farm workers in 2022 is \$16.62, whereas that of farm producers is \$24.08.\footnote{U.S. Department of Agriculture, Economic Research Service. Farm labor. \url{https://www.ers.usda.gov/topics/farm-economy/farm-labor/#wages}.} Also from the ERS, the average hourly wage of farm workers in 2017 is \$14.93.\footnote{As noted earlier in the paper, we use data from the 2017 USDA Census of Agriculture—the closest available year that could align with a 2019 GTAP model baseline. For consistency, we also rely on 2017 wage data from the ERS.} We assume the difference in hourly wage between farm producers and hired farm workers in 2017 is the same as that in 2022, which is 1.45 times. As a result, the average hourly wage of farm producers in 2017 is estimated to be \$21.65. \section{Labor Disaggregation Methodology} Appending BLS-OEWS with the USDA data, we generated occupation-by-sector tables for 2019\footnote{The 2019 GTAP model baseline is the most recent version. We plan to incorporate the labor data into this baseline. Therefore, our paper uses the 2019 OEWS data.}, including employment, average annual wage, and total wage bill. The final table, the wage bill, can be used to disaggregate labor payments data into 22 occupation groups for each GTAP sector in the standard GTAP model. Our labor disaggregation methodology is described below. \subsection{Mapping NAICS industries with GTAP sectors} Since there is no existing concordance between NAICS and the latest GTAP database, with a 2019 baseline, we developed a concordance mapping NAICS to GTAP sectors (see Appendix Table \ref{concordance}). The more than 800 NAICS industries were mapped to 65 GTAP sectors.\footnote{Our paper uses the version 12 of the GTAP database, which contains 65 sectors (see appendix table \ref{gtap_des} for GTAP sectors).} This was done with the use of two concordances, the GTAP-CPC (Central Product Classification version 2.1) and the GTAP-ISIC (International Standard Classification of All Economic Activities revision 4). While BLS uses its own NAICS-based system for publishing occupation data, the mapping process revealed 14 NAICS codes unique to the BLS-OEWS dataset. These codes were a combination of NAICS codes. Hence, they are referred to as bundled NAICS codes. In most cases, all NAICS codes found in a bundled code were mapped into a single GTAP sector. Otherwise, if there were more than one GTAP sector in the bundle, employment values were split by the ratio calculated by the authors (see table \ref{share_of_outputs} below).\footnote{The ratio is calculated based on the output shares among GTAP sectors. More details are discussed in the next paragraph.} For instance, BLS’s NAICS 3250A1 “Chemical Manufacturing” code includes NAICS 3251 “Basic Chemical Manufacturing”, 3252 “Resin, Synthetic Rubber, and Artificial and Synthetic Fibers and Filaments Manufacturing”, 3253 “Pesticide, Fertilizer, and Other Agricultural Chemical Manufacturing” and 3259 “Other Chemical Product and Preparation Manufacturing”. While NAICS 3251 and 3259 map into the GTAP sector “Chemical Products”, NAICS 3252 and 3253 map into the GTAP sector “Rubber and Plastic Products”. Since BLS’s NAICS 3250A1 “Chemical Manufacturing” code maps into two GTAP sectors, employment values were split by the ratios found in table \ref{share_of_outputs} using the process described in section \ref{sec:split_occupation_estimates}. \subsection{Split Occupational Estimates} \label{sec:split_occupation_estimates} Thirty-seven 4-digit NAICS industries, along with one bundled NAICS code, correspond to more than one GTAP sector, thus their employment estimates need to be divided between them. According to \cite{caitlyn_carrico_disaggregate_2012}, the employment value of one 4-digit NAICS industry was divided equally between respective GTAP sectors. In our paper, we improved the methodology by accounting for the different sizes of the GTAP sectors. This was achieved by dividing employment values of NAICS industries among the respective GTAP sectors based on their output shares: the employment of the GTAP sectors mapping to one 4-digit NAICS industry are calculated by multiplying the employment of that NAICS industry with the GTAP sectors’ shares of output. For instance, employment estimates from NAICS 2111 “Oil and gas extraction” is multiplied with 0.71 to get the employment estimate of the GTAP sector “Oil” and multiplied with 0.19 to get the employment estimate of the GTAP sector “Gas”, and employment estimates from NAICS 1111 “Oilseed and grain farming” is multiplied with 0.02, 0.12, 0.47, 0.39 to get the employment estimates of GTAP sectors PDR (paddy rice), WHT (wheat), GRO (other grains) and OSD (oil seeds) respectively (see table \ref{share_of_outputs} for more details on the output share among GTAP sectors mapped to respective NAICS industries.) \newgeometry{top=1cm, left=0.5cm, right=0.5cm, bottom=1.5cm} \begin{ThreePartTable} \begin{footnotesize} \setstretch{1} \begin{longtable}{>{\centering\arraybackslash}p{3.0cm}p{2.0cm}p{6.5cm} >{\centering\arraybackslash}p{3cm}} \caption{Share values for NAICS codes mapped into multiple GTAP sectors} \label{share_of_outputs}\\ \toprule 2017 NAICS code & GTAP sector & GTAP Description & Share of output\\ \midrule \endfirsthead \toprule 2017 NAICS code & GTAP sector & GTAP Description & Share of output\\ \midrule \endhead \bottomrule \endfoot \bottomrule \endlastfoot 1111&pdr&Paddy Rice&0.02\\ 1111&wht&Wheat&0.12\\ 1111&gro&Cereal Grains Nec&0.47\\ 1111&osd&Oil Seeds&0.39\\ 1119&c\_b&Sugar Cane, Sugar Beet&0.09\\ 1119&ocr&Crops Nec&0.42\\ 1119&pfb&Plant-based Fibers&0.49\\ 1121&ctl&Bovine Cattle, Sheep and Goats, Horses&0.62\\ 1121&rmk&Raw Milk&0.38\\ 1124&ctl&Bovine Cattle, Sheep and Goats, Horses&0.99\\ 1124&wol&Wool, Silk-Worm Cocoons&0.01\\ 1125&oap&Animal Products Nec&0.48\\ 1125&fsh&Fishing&0.06\\ 1125&ctl&Bovine Cattle, Sheep and Goats, Horses&0.46\\ 1129&oap&Animal Products Nec&0.48\\ 1129&fsh&Fishing&0.06\\ 1129&ctl&Bovine Cattle, Sheep and Goats, Horses&0.46\\ 2111&oil&Oil&0.71\\ 2111&gas&Gas&0.29\\ 2131&oil&Oil&0.71\\ 2131&gas&Gas&0.29\\ 2213&ely&Electricity&0.7\\ 2213&wtr&Water&0.3\\ 3113&sgr&Sugar&0.08\\ 3113&ofd&Food Products Nec&0.92\\ 3121&b\_t&Beverages and Tobacco Products&0.33\\ 3121&ely&Electricity&0.67\\ 3241&p\_c&Petroleum, Coal Products&0.76\\ 3241&nmm&Mineral Products Nec&0.24\\ 3250&rpp&Rubber and Plastic Products&0.26\\ 3250&bph&Basic Pharmaceutical Products&0.18\\ 3250&chm&Chemical Products&0.57\\ 3312&i\_s&Ferrous Metals&0.27\\ 3312 & fmp & Metal Products & 0.73\\ 3315&i\_s&Ferrous Metals&0.49\\ 3315&nfm&Metals Nec&0.51\\ 3320&fmp&Metal Products&0.48\\ 3320&ome&Machinery and Equipment Nec&0.52\\ 3333&ome&Machinery and Equipment Nec&0.51\\ 3333&ele&Computer, Electronic and Optical Products&0.49\\ 3335&fmp&Metal Products&0.48\\ 3335&ome&Machinery and Equipment Nec&0.52\\ 3345&ele&Computer, Electronic and Optical Products&0.49\\ 3345&ome&Machinery and Equipment Nec&0.51\\ 3346&ppp&Paper Products, Publishing&0.41\\ 3346&ele&Computer, Electronic and Optical Products&0.59\\ 3351&eeq&Electrical Equipment&0.27\\ 3351&ome&Machinery and Equipment Nec&0.73\\ 3352&ome&Machinery and Equipment Nec&0.73\\ 3352&eeq&Electrical Equipment&0.27\\ 3391&omf&Manufactures Nec&0.62\\ 3391&ome&Machinery and Equipment Nec&0.38\\ 4412&omf&Manufactures Nec&0.18\\ 4412&trd&Trade&0.82\\ 4442&trd&Trade&0.79\\ 4442&ros&Recreational and Other Services&0.21\\ 4483&ros&Recreational and Other Services&0.21\\ 4483&trd&Trade&0.79\\ 4539&nmm&Mineral Products Nec&0.04\\ 4539&trd&Trade&0.96\\ 5191&ros&Recreational and Other Services&0.38\\ 5191&cmn&Communication&0.62\\ 5251&ins&Insurance (formerly isr)&0.45\\ 5251&ofi&Financial Services Nec&0.55\\ 5415&cmn&Communication&0.24\\ 5415&obs&Business Services Nec&0.76\\ 5511&obs&Business Services Nec&0.77\\ 5511&ofi&Financial Services Nec&0.23\\ 5617&obs&Business Services Nec&0.84\\ 5617&ros&Recreational and Other Services&0.16\\ 6212&edu&Education&0.3\\ 6212&hht&Human Health and Social Work Activities&0.7\\ 6213&edu&Education&0.3\\ 6213&hht&Human Health and Social Work Activities&0.7\\ 6244&edu&Education&0.3\\ 6244&hht&Human Health and Social Work Activities&0.7\\ 8112&omf&Manufactures Nec&0.46\\ 8112&ros&Recreational and Other Services&0.54\\ 8129&ros&Recreational and Other Services&0.16\\ 8129&obs&Business Services Nec&0.84\\ \hline \caption*{\footnotesize \hspace*{9em}Source: GTAP output values from GTAP version 12 database were used. \\ \hspace*{9em}Note: These are the author’s own calculations. \\ } \end{longtable} \end{footnotesize} \end{ThreePartTable} \restoregeometry \setstretch{1.5} \subsection{Generating Matrices by NAICS Industry and Occupation} By appending the OEWS with USDA data and mapping NAICS industries with GTAP model sectors, we produce two matrices:(1) Total Employment categorized by NAICS Industry and Occupation, and (2) Mean Annual Wages classified by NAICS Industry and Occupation. Each employment observation, $e_{ij}$ is a component of Total Employment, where $i$ belongs to the set of all NAICS industries and $j$ belongs to the set of all 22 SOC main occupations.\footnote{The original BLS OEWS dataset offers employment and wage estimates for nearly all occupational categories within each industry; however, many specific occupational employment and wage estimates are either unavailable or withheld from release to maintain confidentiality. In the 2019 BLS OEWS survey, at the 4-digit NAICS level and 2-digit SOC level, out of 4039 records, 137 are found missing employment estimates, and 45 are found missing annual wage estimates. Following \citet{caitlyn_carrico_disaggregate_2012}, we consider unavailable and confidential data as missing data and assign them a value of zero. This is also the reason why our level of disaggregation is at the 4-digit level.Carrico, C., L. Z. Jones, and M. E. Tsigas (2012). Disaggregate U.S. Labor Statistics for the USAGE 2.0 and GTAP Applied General Equilibrium Models. SSRN Electronic Journal. \url{https://doi.org/10.2139/ssrn.2169415}.} Similarly, each observation of the average wage, $w_{ij}$ constitutes a component of Mean Wages for each NAICS industry $i$ and SOC occupation $j$. From the matrices Total Employment and Mean Annual Wage, we get the third matrix—the Wage Bill matrix, $wb_{ij}$ = $e_{ij}$ * $w_{ij}$, which represents labor payments for each NAICS industry $i$ and SOC occupation $j$. \subsection{Aggregating Employment and Wage Bill Estimates by GTAP Model Sector and Occupation} We produce aggregate employment for the GTAP model industry $k$, and SOC occupation $j$:$e_{kj}$ = $\sum_{i}^{n}e_{ij}$. In a similar manner, we produce an aggregate wage bill for the GTAP model industry $k$, and SOC occupation $j$: $wb_{kj} = \sum_{i}^{n}wb_{ij}$. We are now able to retrieve two matrices: (1) Total Wage Bill by GTAP Model Sector and Occupation (see appendix table 5) and (2) Total Employment by GTAP Model Sector and Occupation (see appendix table 3). Each observation of employment, $e_{kj}$ is an element of Total Employment, where $k$ is one of the GTAP model sectors and $j$ is one of the 22 SOC major occupations. \subsection{Plugging into GTAP Standard Model } The shares derived from the first matrix, Total Wage Bill by GTAP Model Sector and Occupation, can be used to split labor data into 22 occupations in the GTAP model. \pagebreak \subsection{Generating Mean Annual Wage by GTAP Model Sector and Occupation} From wage bill and total employment, we calculate the mean wage, $w_{kj} = \frac{wb_{kj}}{e_{kj}}$, for the GTAP model sector by major occupation. At this step, we have the third matrix table, Mean Annual Wage by GTAP model sector and occupation (see appendix table 4). All three matrix tables—total wage bill by GTAP sector and occupation, total employment by GTAP sector and occupation, and mean annual wage by GTAP sector and occupation—are published as appendices tables at the end of this paper. \subsection{Additional Calculations} Employment is computed across all SOC occupations, $e_k = \sum_{j=1}^{22} e_{kj}$, in addition to being computed across all GTAP model sectors, $e_j = \sum_{k=1}^{n}e_{kj}$, for each GTAP model sector $k$ and SOC occupation $j$. For every GTAP model sector $k$ and SOC occupation $j$, the total wage bill amounts are computed across all SOC occupations, $wb_k = \sum_{j=1}^{22} wb_{kj}$, as well as across all GTAP model sectors, $wb_j = \sum_{k=1}^{n}wb_{kj}$. Weighted mean wages were computed for each GTAP model sectors $j$, $w_k = \frac{\sum_{j=1}^{22}wb_{kj}}{\sum_{j=1}^{22}e_{kj}}$, and each SOC occupation $j$, $\overline{w}_j = \frac{\sum_{k=1}^{n}e_{kj}}{\sum_{k=1}{n}wb_{kj}}$.These calculations were performed across all SOC occupations as well as across all GTAP model sectors. In the next section, the descriptive statistics will show which sectors and occupations earn the highest wages and employ the highest number of workers. \section{Descriptive Statistics} After calculating employment and wages for 2019 across 22 occupations and 65 GTAP sectors, this section highlights which sectors and occupations earn the highest wages and employ the most workers in 2019. Additionally, we present findings on the occupations and sectors that hire the largest share of workers. Figure \ref{fig:avg_wage_by_occ} below presents the 2019 U.S. average wages across 22 different occupations. As shown, college degree occupations, such as legal, management, computer and mathematical, and architecture and engineering, pay higher average wages compared to lower-skilled occupations like food preparation and serving, healthcare support, and farming, fishing, and forestry. The legal profession had the highest average wage in 2019 at \$109,451 per year, while food preparation and serving had the lowest average wage at \$26,652 per year. \begin{figure}[H] \centering \includegraphics[width=1\textwidth]{average_wage_by_occupation.png} \caption{U.S. average wage in 2019, by occupation, in dollars} \label{fig:avg_wage_by_occ} \end{figure} Figure \ref{fig:avg_wage_by_gtap} presents the average wages in the United States for all GTAP service sectors and the average wage for non-service sectors. Notably, among all service sectors, average wages are highest in financial services, air transport services, and information and communication sectors. Conversely, the lowest average wage is found in accommodation, food, and services activities, at \$28,190 per year. For non-service sectors, including agricultural and manufacturing, the average wage is \$52,936 per year. \begin{figure}[H] \centering \includegraphics[width=1\linewidth]{average_by_gtap.png} \caption{U.S. average wage, by GTAP sector, dollars/year} \label{fig:avg_wage_by_gtap} \end{figure} Figure \ref{fig:emp_occ} presents U.S. total employment by occupation in 2019. As seen in Figure \ref{fig:emp_occ}, fewer workers are employed in skilled labor occupations compared to unskilled labor occupations. The occupations with the highest number of workers in 2019 are office and administrative support (19.7 million), sales and related occupations (14.4 million), food preparation and serving (13.5 million), and transportation and material moving (12.6 million). \begin{figure}[H] \centering \includegraphics[width=1\linewidth]{employment_by_occupation.png} \caption{U.S. total employment in 2019, by occupation, in million workers} \label{fig:emp_occ} \end{figure} Figure \ref{fig:emp_gtap} presents U.S. total employment by select GTAP sectors in 2019. As seen in Figure \ref{fig:emp_gtap}, five GTAP service sectors—wholesale and retail trade, other business services, human health and social work activities, education, and accommodation, food, and services activities—employ the highest number of workers, with employment numbers being 21.3 million, 20.4 million, 20.2 million, 14.1 million, and 14.0 million, respectively. These five sectors account for around 59 percent of total U.S. employment in 2019. \begin{figure}[H] \centering \includegraphics[width=1\linewidth]{employment_by_gtap.png} \caption{U.S. total employment, by GTAP sector} \label{fig:emp_gtap} \end{figure} The data also shows that certain GTAP sectors account for a relatively large share of certain occupational employment. Table \ref{emp_share_occ_emp} shows, for each occupation, the top three GTAP sectors in terms of employment number and share of that occupation's employment. For example, in management occupations, the other business services (OBS) sector accounts for 16 percent of all management occupation workers. Wholesale and retail trade (TRD) and human health and social work (HHT) sectors account for 9 percent and 7 percent, respectively. In computer and mathematical occupations, 40 percent of computer and mathematical occupation workers are hired in the other business services (OBS) sector, 19 percent in the information and communication (CMN) sector, and 7 percent in the other financial services (OFI) sector. With this information, the model can then simulate how wage and employment would change for workers in different occupations as a result of an economic shock. In particular, when a shock affects specific sectors, it tends to have a greater effect on workers in occupations that are predominantly employed within those sectors. \begin{singlespacing} \begin{ThreePartTable} \begin{footnotesize} \begin{longtable}{p{0.3cm}p{5.5cm} >{\centering\arraybackslash}p{1.5cm}>{\centering\arraybackslash}p{2.0cm}p{3cm}} \caption{Number of Employments and Share of Occupational Employment in GTAP sectors as a percentage of Total Employment in the Occupation} \label{emp_share_occ_emp}\\ \toprule No. & Occuaption& GTAP sector & Employment & Share of occupation employment in specific GTAP sector in total occupation employment \\ \midrule \endfirsthead \toprule No. & Occuaption& GTAP sector & Employment & Share of occupation employment in specific GTAP sector in total occupation employment\\ \midrule \endhead \bottomrule \endfoot \bottomrule \endlastfoot 1&Management&obs&1,609,946&\makecell[c]{16\%}\\ 1&Management&trd&887,075&\makecell[c]{9\%}\\ 1&Management&hht&745,548&\makecell[c]{7\%}\\ 2&Business and Financial Operations&obs&2,351,449&\makecell[c]{29\%}\\ 2&Business and Financial Operations&ofi&1,124,988&\makecell[c]{14\%}\\ 2&Business and Financial Operations&osg&1,062,690&\makecell[c]{13\%}\\ 3&Computer and Mathematical&obs&1,839,441&\makecell[c]{40\%}\\ 3&Computer and Mathematical&cmn&851,631&\makecell[c]{19\%}\\ 3&Computer and Mathematical&ofi&306,627&\makecell[c]{7\%}\\ 4&Architecture and Engineering&obs&1,061,306&\makecell[c]{41\%}\\ 4&Architecture and Engineering&osg&288,320&\makecell[c]{11\%}\\ 4&Architecture and Engineering&ome&193,525&\makecell[c]{7\%}\\ 5&Life, Physical, and Social Science&obs&402,464&\makecell[c]{31\%}\\ 5&Life, Physical, and Social Science&osg&311,520&\makecell[c]{24\%}\\ 5&Life, Physical, and Social Science&edu&192,398&\makecell[c]{15\%}\\ 6&Community and Social Service&hht&1,150,623&\makecell[c]{51\%}\\ 6&Community and Social Service&osg&514,120&\makecell[c]{23\%}\\ 6&Community and Social Service&edu&390,924&\makecell[c]{17\%}\\ 7&Legal&obs&752,089&\makecell[c]{66\%}\\ 7&Legal&osg&268,070&\makecell[c]{23\%}\\ 7&Legal&ins&36,026&\makecell[c]{3\%}\\ 8&Educational Instruction and Library&edu&7,962,816&\makecell[c]{90\%}\\ 8&Educational Instruction and Library&hht&440,962&\makecell[c]{5\%}\\ 8&Educational Instruction and Library&osg&216,440&\makecell[c]{2\%}\\ 9&Arts, Design, Entertainment, Sports, and Media&obs&487,600&\makecell[c]{25\%}\\ 9&Arts, Design, Entertainment, Sports, and Media&cmn&460,870&\makecell[c]{23\%}\\ 9&Arts, Design, Entertainment, Sports, and Media&ros&323,183&\makecell[c]{16\%}\\ 10&Healthcare Practitioners and Technical&hht&6,653,291&\makecell[c]{79\%}\\ 10&Healthcare Practitioners and Technical&trd&500,390&\makecell[c]{6\%}\\ 10&Healthcare Practitioners and Technical&edu&488,786&\makecell[c]{6\%}\\ 11&Healthcare Support&hht&5,782,058&\makecell[c]{89\%}\\ 11&Healthcare Support&obs&251,834&\makecell[c]{4\%}\\ 11&Healthcare Support&edu&209,069&\makecell[c]{3\%}\\ 12&Protective Service&osg&1,984,620&\makecell[c]{57\%}\\ 12&Protective Service&obs&846,074&\makecell[c]{24\%}\\ 12&Protective Service&edu&172,269&\makecell[c]{5\%}\\ 13&Food Preparation and Serving Related&afs&11,190,280&\makecell[c]{83\%}\\ 13&Food Preparation and Serving Related&trd&561,822&\makecell[c]{4\%}\\ 13&Food Preparation and Serving Related&hht&527,475&\makecell[c]{4\%}\\ 14&Building and Grounds Cleaning and Maintenance&dwe&1,784,050&\makecell[c]{29\%}\\ 14&Building and Grounds Cleaning and Maintenance&obs&1,683,863&\makecell[c]{27\%}\\ 14&Building and Grounds Cleaning and Maintenance&afs&624,420&\makecell[c]{10\%}\\ 15&Personal Care and Service&ros&1,546,127&\makecell[c]{47\%}\\ 15&Personal Care and Service&hht&566,145&\makecell[c]{17\%}\\ 15&Personal Care and Service&edu&319,043&\makecell[c]{10\%}\\ 16&Sales and Related&trd&9,117,384&\makecell[c]{63\%}\\ 16&Sales and Related&ros&1,214,027&\makecell[c]{8\%}\\ 16&Sales and Related&obs&1,102,875&\makecell[c]{8\%}\\ 17&Office and Administrative Support&obs&3,773,598&\makecell[c]{19\%}\\ 17&Office and Administrative Support&hht&2,631,645&\makecell[c]{13\%}\\ 17&Office and Administrative Support&trd&2,412,205&\makecell[c]{12\%}\\ 18&Farming, Fishing, and Forestry&obs&310,437&\makecell[c]{21\%}\\ 18&Farming, Fishing, and Forestry&v\_f&292,033&\makecell[c]{20\%}\\ 18&Farming, Fishing, and Forestry&ocr&171,780&\makecell[c]{12\%}\\ 19&Construction and Extraction&cns&4,611,410&\makecell[c]{74\%}\\ 19&Construction and Extraction&osg&444,130&\makecell[c]{7\%}\\ 19&Construction and Extraction&obs&276,561&\makecell[c]{4\%}\\ 20&Installation, Maintenance, and Repair&trd&1,585,862&\makecell[c]{27\%}\\ 20&Installation, Maintenance, and Repair&cns&643,470&\makecell[c]{11\%}\\ 20&Installation, Maintenance, and Repair&osg&425,530&\makecell[c]{7\%}\\ 21&Production&fmp&1,090,218&\makecell[c]{12\%}\\ 21&Production&ome&947,163&\makecell[c]{10\%}\\ 21&Production&obs&934,543&\makecell[c]{10\%}\\ 22&Transportation and Material Moving&trd&4,052,823&\makecell[c]{32\%}\\ 22&Transportation and Material Moving&otp&1,681,710&\makecell[c]{13\%}\\ 22&Transportation and Material Moving&obs&1,497,586&\makecell[c]{12\%}\\ \end{longtable} \end{footnotesize} \end{ThreePartTable} \end{singlespacing} \section{Conclusions} The conventional GTAP model has just five generalized labor categories, a level of aggregation that can mask critical differences in occupational labor market outcomes. In response to this limitation, we update and improve the approach developed by Carrico et al. (2012), producing a comprehensive set of wage and employment tables that map occupations to economic sectors. These tables enable the disaggregation of U.S. labor data into 22 distinct occupational groups within the GTAP model, offering a more nuanced and analytically powerful representation of labor heterogeneity. After analyzing employment and wages for 2019 in these wage and employment tables, we found that: 1) Among all services sectors, the highest wages were in financial services, air transport, and information and communication sectors; 2) Skilled labor occupations employed fewer workers than unskilled ones, with employment in certain occupations concentrated in specific GTAP sectors. These findings are significant because economic shocks targeting specific GTAP sectors tend to disproportionately impact workers in occupations heavily concentrated within those sectors -- particularly in terms of wage and employment outcomes. \nocite{bureau_of_labor_statistics_us_department_of_labor_concepts_nodate,bureau_of_labor_statistics_us_department_of_labor_occupational_nodate,bureau_of_labor_statistics_us_department_of_labor_oews_nodate,bureau_of_labor_statistics_us_department_of_labor_standard_nodate,bureau_of_labor_statistics_us_department_of_labor_technical_nodate,caitlyn_carrico_disaggregate_2012,demirkaya_2024,us_census_bureau_north_nodate,us_department_of_agriculture_national_agricultural_statistics_service_2017_2019,usda_ers,bureau_of_labor_statistics_us_department_of_labor_quarterly_nodate} \pagebreak \bibliographystyle{chicago} \bibliography{GTAPlabor.bib} \singlespacing \pagebreak \section{Appendix}\label{sec:appendix} \renewcommand{\tablename}{Appendix Table} \label{appendix_table_1} \setcounter{table}{0} \begin{footnotesize} \begin{longtable}{>{\centering\arraybackslash}p{3cm}p{7cm}} \caption{GTAP sector descriptions} \label{gtap_des}\\ \hline GTAP sector code & GTAP sector description\\ \hline \endfirsthead \hline GTAP sector code & GTAP sector description\\ \hline \endhead \hline \endfoot \hline \hline \endlastfoot pdr&Paddy Rice\\ wht&Wheat\\ gro&Cereal Grains Nec\\ v\_f&Vegetables, Fruit, Nuts\\ osd&Oil Seeds\\ c\_b&Sugar Cane, Sugar Beet\\ pfb&Plant-Based Fibers\\ ocr&Crops Nec\\ ctl&Bovine Cattle, Sheep and Goats, Horses\\ oap&Animal Products Nec\\ rmk&Raw Milk\\ wol&Wool, Silk-Worm Cocoons\\ frs&Forestry\\ fsh&Fishing\\ coa&Coal\\ oil&Oil\\ gas&Gas\\ oxt&Other Extraction (formerly omn Minerals Nec)\\ cmt&Bovine Meat Products\\ omt&Meat Products Nec\\ vol&Vegetable Oils and Fats\\ mil&Dairy Products\\ pcr&Processed Rice\\ sgr&Sugar\\ ofd&Food Products Nec\\ b\_t&Beverages and Tobacco Products\\ tex&Textiles\\ wap&Wearing Apparel\\ lea&Leather Products\\ lum&Wood Products\\ ppp&Paper Products, Publishing\\ p\_c&Petroleum, Coal Products\\ chm&Chemical Products\\ bph&Basic Pharmaceutical Products\\ rpp&Rubber and Plastic Products\\ nmm&Mineral Products Nec\\ i\_s&Ferrous Metals\\ nfm&Metals Nec\\ fmp&Metal Products\\ ele&Computer, Electronic and Optical Products\\ eeq&Electrical Equipment\\ ome&Machinery and Equipment Nec\\ mvh&Motor Vehicles and Parts\\ otn&Transport Equipment Nec\\ omf&Manufactures Nec\\ ely&Electricity\\ gdt&Gas Manufacture, Distribution\\ wtr&Water\\ cns&Construction\\ trd&Trade\\ afs&Accommodation, Food and Service Activities\\ otp&Transport Nec\\ wtp&Water Transport\\ atp&Air Transport\\ whs&Warehousing and Support Activities\\ cmn&Communication\\ ofi&Financial Services Nec\\ ins&Insurance (formerly isr)\\ rsa&Real Estate Activities\\ obs&Business Services Nec\\ ros&Recreational and Other Services\\ osg&Public Administration and Defense\\ edu&Education\\ hht&Human Health and Social Work Activities\\ dwe&Dwellings \end{longtable} \end{footnotesize} \newpage \begin{scriptsize} \begin{longtable}{p{1cm}p{7cm}p{1cm}p{6cm}} \caption{A concordance mapping NAICS to GTAP sectors} \\ \label{concordance}\\ \hline \hline NAICS Code & NAICS Description & GTAP Code & GTAP Description \\ \hline \endfirsthead \hline NAICS Code & NAICS Description & GTAP Code & GTAP Description \\ \hline \endhead \hline \endfoot \hline \hline \endlastfoot 1111&Oilseed and Grain Farming&pdr& Paddy Rice\\ 1111&Oilseed and Grain Farming&wht& Wheat\\ 1111&Oilseed and Grain Farming&gro& Cereal Grains Nec\\ 1111&Oilseed and Grain Farming&osd& Oil Seeds\\ 1112&Vegetable and Melon Farming&v\_f&Vegetables, Fruit, Nuts \\ 1113&Fruit and Tree Nut Farming&v\_f&Vegetables, Fruit, Nuts \\ 1114&Greenhouse, Nursery, and Floriculture Production&ocr&Crops Nec \\ 1119&Other Crop Farming&c\_b&Sugar Cane, Sugar Beet \\ 1119&Other Crop Farming&ocr&Crops Nec \\ 1119&Other Crop Farming&pfb&Plant-Based Fibers \\ 1121&Cattle Ranching and Farming&ctl&Bovine Cattle, Sheep and Goats, Horses \\ 1121&Cattle Ranching and Farming&rmk&Raw Milk \\ 1122&Hog and Pig Farming&oap&Animal Products Nec \\ 1123&Poultry and Egg Production&oap&Animal Products Nec \\ 1124&Sheep and Goat Farming&ctl&Bovine Cattle, Sheep and Goats, Horses \\ 1124&Sheep and Goat Farming&wol&Wool, Silk-Worm Cocoons \\ 1125&Aquaculture&oap&Animal Products Nec \\ 1125&Aquaculture&fsh&Fishing \\ 1125&Aquaculture&ctl&Bovine Cattle, Sheep and Goats, Horses \\ 1129&Other Animal Production&oap&Animal Products Nec \\ 1129&Other Animal Production&fsh&Fishing \\ 1129&Other Animal Production&ctl&Bovine Cattle, Sheep and Goats, Horses \\ 1131&Timber Tract Operations&frs&Forestry \\ 1133&Logging&frs&Forestry \\ 1141&Fishing&fsh&Fishing \\ 1151&Support Activities for Crop Production&obs&Business Services Nec \\ 1152&Support Activities for Animal Production&obs&Business Services Nec \\ 2111&Oil and Gas Extraction&oil&Oil \\ 2111&Oil and Gas Extraction&gas&Gas \\ 2121&Coal Mining&coa&Coal \\ 2122&Metal Ore Mining&oxt&Other Extraction \\ 2123&Nonmetallic Mineral Mining and Quarrying&oxt&Other Extraction \\ 2131&Support Activities for Mining&oil&Oil \\ 2131&Support Activities for Mining&gas&Gas \\ 2211&Electric Power Generation, Transmission and Distribution&ely&Electricity \\ 2212&Natural Gas Distribution &gdt&Gas Manufacture, Distribution \\ 2213&Water, Sewage and Other Systems &ely&Electricity \\ 2213&Water, Sewage and Other Systems &wtr&Water \\ 2361&Residential Building Construction&cns&Construction \\ 2362&Nonresidential Building Construction&cns&Construction \\ 2371&Utility System Construction&cns&Construction \\ 2372&Land Subdivision&cns&Construction \\ 2373&Highway, Street, and Bridge Construction&cns&Construction \\ 2379&Other Heavy and Civil Engineering Construction&cns&Construction \\ 2381&Foundation, Structure, and Building Exterior Contractors&cns&Construction \\ 2382&Building Equipment Contractors&cns&Construction \\ 2383&Building Finishing Contractors&cns&Construction \\ 2389&Other Specialty Trade Contractors&cns&Construction \\ 3111&Animal Food Manufacturing&ofd&Food Products Nec \\ 3112&Grain and Oilseed Milling&vol&Vegetable Oils and Fats \\ 3112&Grain and Oilseed Milling&pcr&Processed Rice \\ 3113&Sugar and Confectionery Product Manufacturing&sgr&Sugar \\ 3113&Sugar and Confectionery Product Manufacturing&ofd&Food Products Nec \\ 3114&Fruit and Vegetable Preserving and Specialty Food Manufacturing&ofd&Food Products Nec \\ 3115&Dairy Product Manufacturing&mil&Dairy Products \\ 3116&Animal Slaughtering and Processing&cmt&Bovine Meat products \\ 3116&Animal Slaughtering and Processing&omt&Meat Products nec \\ 3117&Seafood Product Preparation and Packaging&ofd&Food Products Nec \\ 3118&Bakeries and Tortilla Manufacturing&ofd&Food Products Nec \\ 3119&Other Food Manufacturing&ofd&Food Products Nec \\ 3121&Beverage Manufacturing&b\_t&Beverages and Tobacco Products \\ 3122&Tobacco Manufacturing&b\_t&Beverages and Tobacco Products \\ 3131&Fiber, Yarn, and Thread Mills&tex&Textiles \\ 3132&Fabric Mills&tex&Textiles \\ 3133&Textile and Fabric Finishing and Fabric Coating Mills&tex&Textiles \\ 3141&Textile Furnishings Mills&tex&Textiles \\ 3149&Other Textile Product Mills&tex&Textiles \\ 3151&Apparel Knitting Mills&wap&Wearing Apparel \\ 3152&Cut and Sew Apparel Manufacturing&wap&Wearing Apparel \\ 3159&Apparel Accessories and Other Apparel Manufacturing&wap&Wearing Apparel \\ 3161&Leather and Hide Tanning and Finishing&lea&Leather Products \\ 3162&Footwear Manufacturing&lea&Leather Products \\ 3169&Other Leather and Allied Product Manufacturing&lea&Leather Products \\ 3211&Sawmills and Wood Preservation&lum&Wood Products \\ 3212&Veneer, Plywood, and Engineered Wood Product Manufacturing&lum&Wood Products \\ 3219&Other Wood Product Manufacturing&lum&Wood Products \\ 3221&Pulp, Paper, and Paperboard Mills&ppp&Paper Products, Publishing \\ 3222&Converted Paper Product Manufacturing&ppp&Paper Products, Publishing \\ 3231&Printing and Related Support Activities&ppp&Paper Products, Publishing \\ 3241&Petroleum and Coal Products Manufacturing&p\_c&Petroleum, Coal Products \\ 3241&Petroleum and Coal Products Manufacturing&nmm&Mineral Products Nec \\ $3250^1$&Chemical Manufacturing&rpp&Rubber and Plastic Products \\ $3250^1$&Chemical Manufacturing&bph&Basic Pharmaceutical Products \\ $3250^1$&Chemical Manufacturing&chm&Chemical Products \\ 3254&Pharmaceutical and Medicine Manufacturing&bph&Basic Pharmaceutical Products \\ 3261&Plastics Product Manufacturing&rpp&Rubber and Plastic Products \\ 3262&Rubber Product Manufacturing&rpp&Rubber and Plastic Products \\ $3270^2$& Nonmetallic Mineral Product Manufacturing&nmm&Mineral Products Nec \\ 3271&Clay Product and Refractory Manufacturing&nmm&Mineral Products Nec \\ 3272&Glass and Glass Product Manufacturing&nmm&Mineral Products Nec \\ 3273&Cement and Concrete Product Manufacturing&nmm&Mineral Products Nec \\ 3274&Lime and Gypsum Product Manufacturing&nmm&Mineral Products Nec \\ 3279&Other Nonmetallic Mineral Product Manufacturing&nmm&Mineral Products Nec \\ 3311&Iron and Steel Mills and Ferroalloy Manufacturing&i\_s&Ferrous Metals \\ 3312&Steel Product Manufacturing from Purchased Steel&fmp&Metal Products \\ 3312&Steel Product Manufacturing from Purchased Steel&i\_s&Ferrous Metals \\ 3313&Alumina and Aluminum Production and Processing&nfm&Metals Nec \\ 3314&Nonferrous Metal (except Aluminum) Production and Processing&nfm&Metals Nec \\ 3315&Foundries&i\_s&Ferrous Metals \\ 3315&Foundries&nfm&Metals Nec \\ $3320^1$&Fabricated Metal Product Manufacturing&fmp&Metal Products \\ $3320^1$&Fabricated Metal Product Manufacturing&ome&Machinery and Equipment Nec \\ 3327&Machine Shops; Turned Product; and Screw, Nut, and Bolt Manufacturing&fmp&Metal Products \\ 3328&Coating, Engraving, Heat Treating, and Allied Activities&fmp&Metal Products \\ $3330^1$&Machinery Manufacturing&ome&Machinery and Equipment Nec \\ 3333&Commercial and Service Industry Machinery Manufacturing&ele&Computer, Electronic and Optical Products \\ 3333&Commercial and Service Industry Machinery Manufacturing&ome&Machinery and Equipment Nec \\ 3335&Metalworking Machinery Manufacturing&fmp&Metal Products \\ 3335&Metalworking Machinery Manufacturing&ome&Machinery and Equipment Nec \\ 3336&Engine, Turbine, and Power Transmission Equipment Manufacturing&ome&Machinery and Equipment Nec \\ 3341&Computer and Peripheral Equipment Manufacturing&ele&Computer, Electronic and Optical Products \\ 3342&Communications Equipment Manufacturing&ele&Computer, Electronic and Optical Products \\ 3343&Audio and Video Equipment Manufacturing&ele&Computer, Electronic and Optical Products \\ 3344&Semiconductor and Other Electronic Component Manufacturing&ele&Computer, Electronic and Optical Products \\ 3345&Navigational, Measuring, Electromedical, and Control Instruments Manufacturing&ele&Computer, Electronic and Optical Products \\ 3345&Navigational, Measuring, Electromedical, and Control Instruments Manufacturing&ome&Machinery and Equipment Nec \\ 3346&Manufacturing and Reproducing Magnetic and Optical Media&ele&Computer, Electronic and Optical Products \\ 3346&Manufacturing and Reproducing Magnetic and Optical Media&ppp&Paper Products, Publishing \\ 3351&Electric Lighting Equipment Manufacturing&eeq&Electrical Equipment \\ 3351&Electric Lighting Equipment Manufacturing&ome&Machinery and Equipment Nec \\ 3352&Household Appliance Manufacturing&eeq&Electrical Equipment \\ 3352&Household Appliance Manufacturing&ome&Machinery and Equipment Nec \\ 3353&Electrical Equipment Manufacturing&eeq&Electrical Equipment \\ 3359&Other Electrical Equipment and Component Manufacturing&eeq&Electrical Equipment \\ 3361&Motor Vehicle Manufacturing&mvh&Motor Vehicles and Parts \\ 3362&Motor Vehicle Body and Trailer Manufacturing&mvh&Motor Vehicles and Parts \\ 3363&Motor Vehicle Parts Manufacturing&fmp&Metal Products \\ 3364&Aerospace Product and Parts Manufacturing&otn&Transport Equipment Nec \\ 3365&Railroad Rolling Stock Manufacturing&otn&Transport Equipment Nec \\ 3366&Ship and Boat Building&otn&Transport Equipment Nec \\ 3369&Other Transportation Equipment Manufacturing&otn&Transport Equipment Nec \\ $3370^1$&Furniture and Related Product Manufacturing &omf&Manufactures Nec \\ 3379&Other Furniture Related Product Manufacturing&omf&Manufactures Nec \\ 3391&Medical Equipment and Supplies Manufacturing&ome&Machinery and Equipment Nec \\ 3391&Medical Equipment and Supplies Manufacturing&omf&Manufactures Nec \\ 3399&Other Miscellaneous Manufacturing&omf&Manufactures Nec \\ $4230^1$&Merchant Wholesalers, Durable Goods &trd&Trade \\ 4231&Motor Vehicle and Motor Vehicle Parts and Supplies Merchant Wholesalers &trd&Trade \\ 4234&Professional and Commercial Equipment and Supplies Merchant Wholesalers &trd&Trade \\ 4238&Machinery, Equipment, and Supplies Merchant Wholesalers &trd&Trade \\ $4240^1$&Merchant Wholesalers, Nondurable Goods&trd&Trade \\ 4243&Apparel, Piece Goods, and Notions Merchant Wholesalers &trd&Trade \\ 4245&Farm Product Raw Material Merchant Wholesalers &trd&Trade \\ 4251&Wholesale Electronic Markets and Agents and Brokers &trd&Trade \\ 4411&Automobile Dealers &trd&Trade \\ 4412&Other Motor Vehicle Dealers &trd&Trade \\ 4413&Automotive Parts, Accessories, and Tire Stores &trd&Trade \\ 4421& Furniture Stores& trd&Trade\\ 4422&Home Furnishings Stores &ros&Recreational and Other Services \\ 4431&Electronics and Appliance Stores &ros&Recreational and Other Services \\ 4441&Building Material and Supplies Dealers &trd&Trade \\ 4442&Lawn and Garden Equipment and Supplies Stores &ros&Recreational and Other Services \\ 4442&Lawn and Garden Equipment and Supplies Stores &trd&Trade \\ $4450^1$&Food and Beverage Stores&trd&Trade \\ 4453&Beer, Wine, and Liquor Stores &trd&Trade \\ 4461&Health and Personal Care Stores &trd&Trade \\ 4471&Gasoline Stations &trd&Trade \\ 4481&Clothing Stores &trd&Trade \\ 4482&Shoe Stores &trd&Trade \\ 4483&Jewelry, Luggage, and Leather Goods Stores &ros&Recreational and Other Services \\ 4483&Jewelry, Luggage, and Leather Goods Stores &trd&Trade \\ 4511&Sporting Goods, Hobby, and Musical Instrument Stores &ros&Recreational and Other Services \\ 4512&Book Stores and News Dealers &trd&Trade \\ $4520^2$& General Merchandise Stores&trd&Trade \\ $4530^1$& Miscellaneous Store Retailers&trd&Trade \\ 4531&Florists&trd&Trade \\ 4539&Other Miscellaneous Store Retailers &trd&Trade \\ 4541&Electronic Shopping and Mail-Order Houses &trd&Trade \\ 4542&Vending Machine Operators &trd&Trade \\ 4543&Direct Selling Establishments &trd&Trade \\ 4811&Scheduled Air Transportation&atp&Air Transport \\ 4812&Nonscheduled Air Transportation&atp&Air Transport \\ 4821&Rail Transportation&otp&Transport Nec \\ 4831&Deep Sea, Coastal, and Great Lakes Water Transportation&wtp&Water Transport \\ 4832&Inland Water Transportation&wtp&Water Transport \\ $4840^2$&Truck Transportation&otp&Transport Nec \\ 4841&General Freight Trucking&otp&Transport Nec \\ 4842&Specialized Freight Trucking&otp&Transport Nec \\ 4851&Urban Transit Systems&otp&Transport Nec \\ 4852&Interurban and Rural Bus Transportation&otp&Transport Nec \\ 4853&Taxi and Limousine Service&otp&Transport Nec \\ 4854&School and Employee Bus Transportation&otp&Transport Nec \\ 4855&Charter Bus Industry&otp&Transport Nec \\ 4859&Other Transit and Ground Passenger Transportation&otp&Transport Nec \\ 4861&Pipeline Transportation of Crude Oil&otp&Transport Nec \\ 4862&Pipeline Transportation of Natural Gas&otp&Transport Nec \\ 4869&Other Pipeline Transportation&otp&Transport Nec \\ 4871&Scenic and Sightseeing Transportation, Land&otp&Transport Nec \\ 4872&Scenic and Sightseeing Transportation, Water&wtp&Water Transport \\ 4879&Scenic and Sightseeing Transportation, Other&atp&Air Transport \\ 4881&Support Activities for Air Transportation&whs&Warehousing and Support Activities \\ 4882&Support Activities for Rail Transportation&otp&Transport Nec \\ 4883&Support Activities for Water Transportation&whs&Warehousing and Support Activities \\ 4884&Support Activities for Road Transportation&whs&Warehousing and Support Activities \\ 4885&Freight Transportation Arrangement&whs&Warehousing and Support Activities \\ 4889&Other Support Activities for Transportation&whs&Warehousing and Support Activities \\ 4911&Postal Service&cmn&Communication \\ 4921&Couriers and Express Delivery Services&cmn&Communication \\ 4922&Local Messengers and Local Delivery&cmn&Communication \\ 4931&Warehousing and Storage&whs&Warehousing and Support Activities \\ 5111&Newspaper, Periodical, Book, and Directory Publishers&cmn&Communication \\ 5112&Software Publishers&cmn&Communication \\ 5121&Motion Picture and Video Industries&cmn&Communication \\ 5122&Sound Recording Industries&cmn&Communication \\ 5151&Radio and Television Broadcasting&cmn&Communication \\ 5152&Cable and Other Subscription Programming&cmn&Communication \\ $5170^2$& Telecommunications&cmn&Communication \\ 5173&Wired and Wireless Telecommunications Carriers&cmn&Communication \\ 5174&Satellite Telecommunications&cmn&Communication \\ 5179&Other Telecommunications&cmn&Communication \\ 5182&Data Processing, Hosting, and Related Services&cmn&Communication \\ 5191&Other Information Services&cmn&Communication \\ 5191&Other Information Services&ros&Recreational and Other Services \\ 5211&Monetary Authorities-Central Bank&ofi&Financial Services Nec \\ $5220^1$& Credit Intermediation and Related Activities&ofi&Financial Services Nec \\ 5222&Nondepository Credit Intermediation &ofi&Financial Services Nec \\ $5230^2$&Securities, Commodity Contracts, and Other Financial Investments and Related Activities&ofi&Financial Services Nec \\ 5231&Securities and Commodity Contracts Intermediation and Brokerage&ofi&Financial Services Nec \\ 5232&Securities and Commodity Exchanges&ofi&Financial Services Nec \\ 5239&Other Financial Investment Activities&ofi&Financial Services Nec \\ 5241&Insurance Carriers&ins&Insurance \\ 5242&Agencies, Brokerages, and Other Insurance Related Activities&ins&Insurance \\ 5251&Insurance and Employee Benefit Funds &ins&Insurance \\ 5251&Insurance and Employee Benefit Funds &ofi&Financial Services Nec \\ 5259&Other Investment Pools and Funds&ofi&Financial Services Nec \\ $5310^2$&Real Estate&rsa&Real Estate Activities \\ 5311&Lessors of Real Estate&rsa&Real Estate Activities \\ 5312&Offices of Real Estate Agents and Brokers&rsa&Real Estate Activities \\ 5313&Activities Related to Real Estate&rsa&Real Estate Activities \\ $5320^1$&Rental and Leasing Services&obs&Business Services Nec \\ 5321&Automotive Equipment Rental and Leasing&obs&Business Services Nec \\ 5331&Lessors of Nonfinancial Intangible Assets (except Copyrighted Works)&obs&Business Services Nec \\ 5411&Legal Services&obs&Business Services Nec \\ 5412&Accounting, Tax Preparation, Bookkeeping, and Payroll Services&obs&Business Services Nec \\ 5413&Architectural, Engineering, and Related Services&obs&Business Services Nec \\ 5414&Specialized Design Services&obs&Business Services Nec \\ 5415&Computer Systems Design and Related Services&cmn&Communication \\ 5415&Computer Systems Design and Related Services&obs&Business Services Nec \\ 5416&Management, Scientific, and Technical Consulting Services&obs&Business Services Nec \\ 5417&Scientific Research and Development Services&obs&Business Services Nec \\ 5418&Advertising, Public Relations, and Related Services&obs&Business Services Nec \\ 5419&Other Professional, Scientific, and Technical Services&obs&Business Services Nec \\ 5511&Management of Companies and Enterprises&obs&Business Services Nec \\ 5511&Management of Companies and Enterprises&ofi&Financial Services Nec \\ 5611&Office Administrative Services&obs&Business Services Nec \\ 5612&Facilities Support Services&osg&Public Administration and Defense \\ 5613&Employment Services&obs&Business Services Nec \\ 5614&Business Support Services&obs&Business Services Nec \\ 5615&Travel Arrangement and Reservation Services&obs&Business Services Nec \\ 5616&Investigation and Security Services&obs&Business Services Nec \\ 5617&Services to Buildings and Dwellings&obs&Business Services Nec \\ 5617&Services to Buildings and Dwellings&ros&Recreational and Other Services \\ 5619&Other Support Services&obs&Business Services Nec \\ 5621&Waste Collection &wtr&Water \\ 5622&Waste Treatment and Disposal &wtr&Water \\ 5629&Remediation and Other Waste Management Services &wtr&Water \\ 6111&Elementary and Secondary Schools&edu&Education \\ 6112&Junior Colleges&edu&Education \\ 6113&Colleges, Universities, and Professional Schools&edu&Education \\ 6114&Business Schools and Computer and Management Training&edu&Education \\ 6115&Technical and Trade Schools &edu&Education \\ 6116&Other Schools and Instruction&edu&Education \\ 6117&Educational Support Services&edu&Education \\ 6211&Offices of Physicians&hht&Human Health and Social Work Activities \\ 6212&Offices of Dentists&edu&Education \\ 6212&Offices of Dentists&hht&Human Health and Social Work Activities \\ 6213&Offices of Other Health Practitioners&edu&Education \\ 6213&Offices of Other Health Practitioners&hht&Human Health and Social Work Activities \\ 6214&Outpatient Care Centers&hht&Human Health and Social Work Activities \\ 6215&Medical and Diagnostic Laboratories&hht&Human Health and Social Work Activities \\ 6216&Home Health Care Services&hht&Human Health and Social Work Activities \\ 6219&Other Ambulatory Health Care Services&hht&Human Health and Social Work Activities \\ 6221&General Medical and Surgical Hospitals&hht&Human Health and Social Work Activities \\ 6222&Psychiatric and Substance Abuse Hospitals&hht&Human Health and Social Work Activities \\ 6223&Specialty (except Psychiatric and Substance Abuse) Hospitals&hht&Human Health and Social Work Activities \\ 6231&Nursing Care Facilities (Skilled Nursing Facilities)&hht&Human Health and Social Work Activities \\ 6232&Residential Intellectual and Developmental Disability, Mental Health, and Substance Abuse Facilities&hht&Human Health and Social Work Activities \\ 6233&Continuing Care Retirement Communities and Assisted Living Facilities for the Elderly&hht&Human Health and Social Work Activities \\ 6239&Other Residential Care Facilities&hht&Human Health and Social Work Activities \\ 6241&Individual and Family Services&hht&Human Health and Social Work Activities \\ 6242&Community Food and Housing, and Emergency and Other Relief Services&hht&Human Health and Social Work Activities \\ 6243&Vocational Rehabilitation Services&hht&Human Health and Social Work Activities \\ 6244&Child Day Care Services&edu&Education \\ 6244&Child Day Care Services&hht&Human Health and Social Work Activities \\ 7111&Performing Arts Companies&ros&Recreational and Other Services \\ 7112&Spectator Sports&ros&Recreational and Other Services \\ 7113&Promoters of Performing Arts, Sports, and Similar Events&ros&Recreational and Other Services \\ 7114&Agents and Managers for Artists, Athletes, Entertainers, and Other Public Figures&obs&Business Services Nec \\ 7115&Independent Artists, Writers, and Performers&ros&Recreational and Other Services \\ 7121&Museums, Historical Sites, and Similar Institutions&ros&Recreational and Other Services \\ 7131&Amusement Parks and Arcades&ros&Recreational and Other Services \\ 7132&Gambling Industries&ros&Recreational and Other Services \\ 7139&Other Amusement and Recreation Industries&ros&Recreational and Other Services \\ 7211&Traveler Accommodation&afs&Accommodation, Food and Service Activities \\ 7212&RV (Recreational Vehicle) Parks and Recreational Camps&afs&Accommodation, Food and Service Activities \\ 7213&Rooming and Boarding Houses, Dormitories, and Workers' Camps&afs&Accommodation, Food and Service Activities \\ 7223&Special Food Services&afs&Accommodation, Food and Service Activities \\ 7224&Drinking Places (Alcoholic Beverages)&afs&Accommodation, Food and Service Activities \\ 7225&Restaurants and Other Eating Places&afs&Accommodation, Food and Service Activities \\ 8111&Automotive Repair and Maintenance&trd&Trade \\ 8112&Electronic and Precision Equipment Repair and Maintenance&trd&Trade \\ 8113&Commercial and Industrial Machinery and Equipment (except Automotive and Electronic) Repair and Maintenance&ros&Recreational and Other Services \\ 8114&Personal and Household Goods Repair and Maintenance&ros&Recreational and Other Services \\ 8121&Personal Care Services &ros&Recreational and Other Services \\ 8122&Death Care Services &ros&Recreational and Other Services \\ 8123&Drycleaning and Laundry Services &ros&Recreational and Other Services \\ 8129&Other Personal Services &obs&Business Services Nec \\ 8129&Other Personal Services &ros&Recreational and Other Services \\ 8131&Religious Organizations &ros&Recreational and Other Services \\ 8132&Grantmaking and Giving Services &ros&Recreational and Other Services \\ 8133&Social Advocacy Organizations &ros&Recreational and Other Services \\ 8134&Civic and Social Organizations &ros&Recreational and Other Services \\ 8139&Business, Professional, Labor, Political, and Similar Organizations &ros&Recreational and Other Services \\ 8141&Private Households&ros&Recreational and Other Services \\ 9211&Executive, Legislative, and Other General Government Support &osg&Public Administration and Defense \\ 9221&Justice, Public Order, and Safety Activities &osg&Public Administration and Defense \\ 9231&Administration of Human Resource Programs &osg&Public Administration and Defense \\ 9241&Administration of Environmental Quality Programs &osg&Public Administration and Defense \\ 9251&Administration of Housing Programs, Urban Planning, and Community Development &osg&Public Administration and Defense \\ 9261&Administration of Economic Programs &osg&Public Administration and Defense \\ 9281&National Security and International Affairs &osg&Public Administration and Defense \\ $9991^3$&Federal Executive Branch (OES Designation)&osg& Public Administration and Defense \\ $9992^3$&Administration of Economic Programs (OES Designation)&osg& Public Administration and Defense \\ $9993^3$&National Security and International Affairs (OES Designation)&osg& Public Administration and Defense \\ \hline \caption*{\footnotesize Notes: \\ \hspace*{2em}$^1$ is a OES designated NAICS code which can includes more than one NAICS code. \\ \hspace*{2em}$^2$ is a 3-digit NAICS code but OES labels it as a 4-digit code.\\ \hspace*{2em}$^3$ is an OES designated NAICS code.} \end{longtable} \end{scriptsize} \thispagestyle{empty} \newgeometry{top=2.0cm, left=0.8cm, right=0.4cm, bottom=3.5cm} \begin{landscape} \begin{sidewaystable}[tbph] \centering \caption{GTAP-Total Employment Matrix (2019), by number of workers} \hspace{-9.0cm}\begin{minipage}[b]{1.0\linewidth} \scalebox{0.5}{ \begin{tabular}{p{1.2cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7 cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}} \hline GTAP Sector&man&bus&com&arc&sci&soc&legal&edu&ent&hep&hes&pro&fod&bui&per&sales&adm&farm&con&man&prd&tra& SUM \\ \hline pdr&7,466&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&2,604&0&0&0&0&10,070\\ wht&44,112&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&15,388&0&0&0&0&59,500\\ gro&173,702&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&60,595&0&0&0&0&234,297\\ v\_f&164,613&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&292,033&0&0&0&0&456,646\\ osd&143,270&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&49,979&0&0&0&0&193,249\\ c\_b&40,968&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&8,730&0&0&0&0&49,698\\ pfb&232,678&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&49,583&0&0&0&0&282,261\\ ocr&253,206&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&171,780&0&0&0&0&424,986\\ ctl&638,933&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&162,943&0&0&0&0&801,876\\ oap&184,111&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&85,183&0&0&0&0&269,294\\ rmk&278,417&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&80,133&0&0&0&0&358,550\\ wol&903&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&93&0&0&0&0&996\\ frs&750&260&0&60&1,060&0&0&0&0&0&0&100&0&160&0&70&3,720&29,790&550&1,900&870&9,070&48,360\\ fsh&13,656&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&3,334&0&0&0&0&16,990\\ coa&1,610&680&70&1,190&490&0&40&0&0&0&0&140&0&130&0&60&1,230&0&3,0170&8,130&2,080&4,730&50,750\\ oil&24,395&21,382&8,592&21,672&12,739&0&2,459&0&290&56&0&354&112&439&0&8095&27,252&49&136,861&23,637&19,708&39,688&347,780\\ gas&10,013&8,776&3,526&8,896&5,229&0&1,009&0&118&22&0&144&46&179&0&3,323&11,186&20&56,177&9,701&8,090&16,290&142,745\\ oxt&5,820&2,890&440&3,540&2,800&0&0&0&50&70&0&400&0&220&0&1,370&10,470&50&56,720&18,450&17,750&21,870&142,910\\ cmt&4,515&3,440&418&494&1,624&70&0&20&136&443&0&438&378&4,717&20&1,896&12,193&5,357&484&15,866&163,354&50,218&266,081\\ omt&4,434&3,379&411&485&1,595&69&0&19&133&436&0&431&371&4,632&19&1,863&1,1976&5,262&475&15,583&160,435&49,321&261,329\\ vol&3,118&2,196&260&1,489&2,355&0&0&0&0&0&0&0&0&567&0&893&4,086&726&437&4,654&26,865&8,536&56,182\\ mil&6,250&4,130&1,050&1,400&4,460&0&0&0&270&0&0&280&2,770&1,960&0&3,840&10,870&340&240&11,280&74,210&27,470&150,820\\ pcr&231&163&19&110&174&0&0&0&0&0&0&0&0&42&0&66&303&53&32&345&1994&633&4,165\\ sgr&295&155&33&63&83&0&0&0&16&0&0&12&63&102&0&604&375&0&49&462&3,027&1,042&6,381\\ ofd&34,344&18,864&3,076&5746&10,366&0&80&0&1,483&80&0&797&34,906&14,737&70&54,315&58,774&8,030&2,370&48,437&425,352&151,527&873,354\\ b\_t&13,890&9,550&1,310&2,000&2,530&0&90&0&7,380&0&0&410&40,120&1,830&730&41,940&17,080&7,010&1,240&15,450&77,330&42,040&281,930\\ tex&8,500&4,480&990&2,730&560&0&0&0&2090&0&0&50&0&870&0&6,770&23,130&0&1,320&14,050&140,290&17,830&223,660\\ wap&5,110&3,170&1,080&250&0&0&0&0&3,870&0&0&80&0&420&0&4,810&13,180&0&0&2,140&69,590&7,440&111,140\\ lea&1,090&790&60&190&30&0&0&0&170&0&0&0&0&130&0&860&2,500&0&0&680&18,470&540&25,510\\ lum&13,630&7,200&1,170&5,310&1,340&0&30&0&700&0&0&620&0&2,090&0&10,510&25,760&7,050&21,400&21,250&216,590&71,420&406,070\\ ppp&38,544&22,871&8,545&11,290&1,800&0&0&0&24,233&80&0&436&0&2,570&0&37,370&107,858&60&3,410&38,700&422,471&77,652&797,890\\ p\_c&5,500&4,623&1,014&7,820&3,479&0&68&0&152&68&0&129&0&152&0&1,564&4,944&0&6,439&7,568&35,416&6,653&85,589\\ chm&23,306&14,207&3,707&19,752&20,249&0&237&0&1,158&124&0&412&0&921&0&1,0178&27,929&231&2,215&22,922&134,297&22,690&304,535\\ bph&46,458&27,931&10,502&23,254&51,191&0&1,165&0&2,616&3,539&170&500&0&2,061&0&21,357&29,299&293&1,580&19,776&132,615&19,083&393,390\\ rpp&42,604&26,320&7,510&3,7203&12,249&0&177&0&2,005&56&0&577&0&3,277&0&19,423&6,8480&105&4,894&54,190&503,016&86,335&868,421\\ nmm&20,139&10,386&1,885&11,919&3,150&0&91&0&1,657&61&0&300&0&1,397&0&15,045&37,635&0&31,120&29,531&172,993&108,366&445,675\\ i\_s&6,198&3,763&1,300&8,333&1,271&0&0&0&73&44&0&225&24&633&0&2,373&9,487&0&3,562&19,137&89,612&13,830&159,865\\ nfm&8,232&4,988&1,303&8,654&1,727&0&0&0&136&35&0&376&25&777&0&2,956&12,420&0&2,943&16,175&10,9162&14,037&183,946\\ fmp&82,866&49,721&12,200&88,570&4,021&0&156&0&3,255&258&0&884&0&6,473&0&3,2375&136,971&43&28,632&74,917&1,090,218&98,714&1,710,274\\ ele&87,020&74,013&120,167&170,104&5,066&0&2,019&68&7,132&586&39&811&0&1,717&0&32,689&67,449&0&1,586&23,894&256,842&17,907&869,109\\ eeq&23,382&16,082&6,834&37,412&980&0&163&0&1,214&0&0&70&0&818&0&10,403&25,386&0&2178&13,188&163,689&15,635&317,434\\ ome&132,664&102,161&5,3648&193,525&8,317&0&1,423&81&8,116&2,033&315&1,181&110&6,431&50&65,748&171,092&106&33,831&80,593&947,163&8,9406&1,897,994\\ mvh&9,470&9,710&3,410&18,570&610&0&110&0&520&190&0&0&0&620&0&5,310&13,720&0&10,320&17,450&289,470&18,390&397,870\\ otn&45,490&67,360&48,900&134,080&3,850&0&0&80&3,050&290&0&3,090&50&2,130&0&6,140&43,010&0&26,190&54,140&257,180&21,310&716,340\\ omf&51,264&35,001&12,553&34,533&3,029&0&494&18&16,971&2,048&444&609&119&3,342&90&35,336&96,037&0&16,760&25,647&484,773&56,779&875,847\\ ely&32,504&32,852&14,426&42,121&9,611&40&1,120&140&1,707&120&0&6,300&0&2,078&0&5,276&64,607&253&19,176&121,140&6,0232&7,655&421,358\\ gdt&7,970&15,080&4,980&7,820&900&0&430&0&380&0&0&110&0&50&0&3,910&19,500&0&11,090&23,630&11,230&2,330&109,410\\ wtr&25,025&11,117&1,443&9,138&7,318&0&9&0&342&1,230&0&590&0&4,291&0&10,703&54,172&216&87,923&26,209&22,577&198,884&461,187\\ cns&497,270&282,160&18,090&94,350&14,620&180&1,970&40&10,640&50&60&6,070&840&36,520&520&167,000&682,740&340&4,611,410&643,470&132,180&237,510&7438,030\\ trd&887,075&497,199&22,4928&74,421&20,229&2,110&6,750&1,560&19,4276&500,390&3,4470&5,9496&5,61822&92,753&113,657&9117,384&2,412,205&62,478&64,208&1,585,862&689,578&4,052,823&21,255,674\\ afs&377,140&44,300&4,400&780&240&150&190&720&18,040&5,690&11,060&77,660&11,190,280&624,420&179,140&477,440&468,150&1,040&5,340&140,470&104,760&315,830&14,047,240\\ otp&71,440&38,100&8,020&8,110&5,080&90&770&290&1,140&920&150&29,190&640&5,940&5,360&23,440&253,890&2,250&35,740&150,800&29,520&1,681,710&2,352,590\\ wtp&4,210&3,060&470&550&50&0&30&200&310&0&0&140&4,560&320&1,040&1,920&10,760&0&90&2,700&720&50,890&82,020\\ atp&10,380&13,400&6,340&1,850&280&0&230&40&1,170&130&0&550&30&210&970&4,380&111,370&60&0&50,280&0&296,450&498,120\\ whs&74,380&54,360&16,040&9,000&1,870&0&270&280&2,570&450&0&14,880&1,200&13,130&7,940&39,110&359,700&630&3,900&107,190&44,270&1,159,570&1,910,740\\ cmn&311,891&311,489&851,631&64,206&2,986&114&7,133&17,423&46,0870&2,229&0&7,809&57,813&21,368&76,154&333,855&1062,139&0&13,261&284,308&27,227&702,101&4,616,007\\ ofi&467,903&1,124,988&306,627&19,508&7,058&5,843&28,038&2,429&21,486&11,186&5,110&9,632&3,467&7,537&1,974&525,379&1,569,674&356&3,093&16,891&6,794&15,889&4,160,862\\ ins&191,522&569,371&199,492&2,150&1,680&12,997&3,6026&380&8,867&56,420&1,380&2,200&890&2,790&220&440,912&849,616&0&610&4,360&1,080&1,810&2,384,773\\ rsa&264,600&122,170&12,210&3,880&400&0&7,390&190&5,710&0&0&25,980&17,400&129,390&20,080&298,560&358,250&0&2,1040&352,350&3,980&18,050&1,661,630\\ obs&1,609,946&2,351,449&1,839,441&1,061,306&402,464&45,607&752,089&22,707&487,600&415,919&251,834&846,074&106,952&1,683,863&217,873&1,102,875&3,773,598&310,437&276,561&390,235&934,543&1,497,586&20,380,959\\ ros&365,415&338,446&76,733&7,353&18,300&116,464&10,380&143,097&323,183&20,033&73,944&160,174&440,971&551,972&1,546,127&1,214,027&792,550&8,426&43,312&352,777&247,281&243,354&7,094,319\\ osg&611,790&1,062,690&266,420&288,320&311,520&514,120&268,070&216,440&44,700&213,110&143,150&1,984,620&78,030&256,840&220,810&58,070&1,579,990&11,440&444,130&425,530&179,530&413,550&9,592,870\\ edu&709,629&345,014&232,314&22,911&192,398&390,924&6,054&7,962,816&268,550&488,786&209,069&172,269&406,783&469,132&319,043&39,310&1,387,932&3,283&40,570&164,010&19,913&262,022&1,411,2732\\ hht&745,548&381,653&145,153&4,748&118,720&1,150,623&6,035&440,962&37,468&6,653,291&5,782,058&77,859&527,475&420,645&566,145&68,077&2,631,645&2,486&19,330&154,787&81,085&166,035&20,181,828\\ dwe&79,500&29,470&1,000&260&1,450&0&0&0&650&0&0&250&0&1784,050&360&46,470&135,450&7,000&34,470&60,210&8,710&47,570&2,236,870\\ SUM&10,282,305&8,189,010&4,546,141&2,583,426&1,285,598&2,239,401&1,142,795&8,810,000&1,978,653&8,380,473&6,513,253&3,495,709&13,478,247&6,173,843&3,278,392&14,417,650&19,663,740&1,457,648&6,219,439&5,767,052&9,120,132&12,558,071&151,580,978\\ \hline \end{tabular}} \end{minipage} \vspace{2mm} \label{tab:total_emp_matrix} \end{sidewaystable} \end{landscape} \restoregeometry \newgeometry{top=2.0cm, left=0.8cm, right=0.8cm, bottom=3.5cm} \begin{landscape} \begin{sidewaystable}[tbph] \centering \caption{GTAP-Mean Annual Wage Matrix (2019), by US dollar} \hspace{-9.0cm}\begin{minipage}[b]{1.0\linewidth} \scalebox{0.5}{ \begin{tabular}{p{1.2cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7 cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}p{1.7cm}} \hline GTAP Sector&man&bus&com&arc&sci&soc&legal&edu&ent&hep&hes&pro&fod&bui&per&sales&adm&farm&con&man&prd&tra \\ \hline pdr&45,029&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&31,054&0&0&0&0\\ wht&45,029&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&31,054&0&0&0&0\\ gro&45,029&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&31,054&0&0&0&0\\ v\_f&45,029&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&31,054&0&0&0&0\\ osd&45,029&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&31,054&0&0&0&0\\ c\_b&45,029&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&31,054&0&0&0&0\\ pfb&45,029&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&31,054&0&0&0&0\\ ocr&45,029&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&31,054&0&0&0&0\\ ctl&45,029&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&31,054&0&0&0&0\\ oap&45,029&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&31,054&0&0&0&0\\ rmk&45,029&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&31,054&0&0&0&0\\ wol&45,029&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&31,054&0&0&0&0\\ frs&97,190&66,130&0&72,520&64,820&0&0&0&0&0&0&28,720&0&33,060&0&57,460&35,200&45,770&43,180&43,440&35,450&41,770\\ fsh&45,029&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&31,054&0&0&0&0\\ coa&117,890&72,030&72,990&82,560&72,390&0&66,130&0&0&0&0&38,360&0&38,620&0&91,740&40,780&0&58,990&61,820&57,230&55,850\\ oil&148,216&88,308&113,800&123,024&95,793&0&99,012&0&75,553&75,930&0&39,020&32,125&29,394&0&90,028&45,295&39,510&51,390&56,253&58,903&49,652\\ gas&148,218&88,309&113,805&123,025&95,790&0&99,012&0&75,565&75,930&0&39,015&32,129&29,394&0&90,028&45,295&39,510&51,390&56,252&58,903&49,652\\ oxt&116,710&73,749&71,372&85,138&68,835&0&0&0&89,810&63,180&0&42,400&0&39,320&0&68,310&41,728&36,250&50,513&58,894&50,261&46,663\\ cmt&117,170&58,530&66,740&78,540&54,990&58,030&0&51,010&38,580&57,000&0&30,630&29,880&31,000&31,460&54,410&37,150&29,080&48,920&46,630&31,620&31,230\\ omt&117,170&58,530&66,740&78,540&54,990&58,030&0&51,010&38,580&57,000&0&30,630&29,880&31,000&31,460&54,410&37,150&29,080&48,920&46,630&31,620&31,230\\ vol&126,060&70,650&78,110&83,090&65,830&0&0&0&0&0&0&0&0&36,650&0&69,930&4,3790&37,760&62,230&54,480&41,950&39,140\\ mil&123,780&69,650&75,810&84,980&55,210&0&0&0&61,410&0&0&35,390&24,420&33,050&0&54,320&42,860&34,370&61,880&54,770&39,650&39,080\\ pcr&126,060&70,650&78,110&83,090&65,830&0&0&0&0&0&0&0&0&36,650&0&69,930&43790&37,760&62,230&54,480&41,950&39,140\\ sgr&125,960&69,460&77,370&84,230&60,120&0&0&0&4,9670&0&0&32,080&27,320&31,420&0&30,990&41,380&0&59,960&54,680&37,190&34,190\\ ofd&122,137&68,723&74,894&80,773&62,133&0&128,315&0&52,469&76,570&0&32,249&27,350&31,134&31600&38,625&40,886&29,301&61,459&52,830&34,995&34,542\\ b\_t&120,184&67,247&81,589&87,425&57,292&0&161,260&0&41,330&0&0&35,320&28,680&34,358&34,740&45,135&42,820&34,710&66,487&55,331&44,575&39,499\\ tex&116,117&63,241&70,173&76,557&54,989&0&0&0&50,045&0&0&27,540&0&27,204&0&62,000&38,547&0&44,916&44,230&32,546&30,701\\ wap&132,659&70,642&83,758&72,332&0&0&0&0&79,643&0&0&31,810&0&27,643&0&60,326&39,660&0&0&41,014&29,630&29,491\\ lea&113,635&64,541&65,350&80,877&47,580&0&0&0&53,500&0&0&0&0&26,076&0&58,155&37,487&0&0&47,236&32,017&31,244\\ lum&109,279&63,076&70,522&61,710&65157&0&127760&0&54024&0&0&30500&0&26184&0&64725&39118&37950&39991&46935&34,430&34,011\\ ppp&124,107&68,083&72,885&82,482&69,518&0&0&0&48,255&71,449&0&38,656&0&30,352&0&68,567&41,277&44,090&59,863&56,534&41,077&35,145\\ p\_c&141,200&85,580&90,530&112,130&79,240&0&141,700&0&67,480&69,050&0&58,550&0&34,800&0&87,560&48,250&0&61,340&69,650&69,950&45,660\\ chm&139,455&77,330&82,580&91,935&69,275&0&156,365&0&60,805&80,380&0&38,155&0&31,845&0&81,665&45,775&34,960&61,870&57,490&46,660&39,850\\ bph&150,212&82,902&96,084&90,717&80,654&0&150,653&0&73,315&72,241&41,820&40,268&0&33,584&0&86,001&48,371&38,226&59,798&59,860&45,749&38,589\\ rpp&128,666&70,500&78,028&79,496&68,045&0&142,838&0&61,465&80,380&0&38,235&0&30,505&0&77,053&42,847&34,960&55,751&52,406&38,584&34,429\\ nmm&119,612&71,422&78,311&81,293&71,374&0&129,477&0&45,094&70,309&0&36,571&0&30,616&0&66,811&43,166&0&45,554&53,083&42,420&42,678\\ i\_s&124,959&69,431&78,552&73,250&58,904&0&0&0&54,601&50,985&0&37,058&28,860&31,090&0&77,701&44,147&0&58,035&54,703&43,356&41,523\\ nfm&127,694&70,142&80,185&75,354&65,792&0&0&0&56,776&47,960&0&37,655&28,860&32,507&0&81,538&44,269&0&58,293&54,813&42,653&37,555\\ fmp&123,606&68,371&76,240&75,953&60,676&0&147,733&0&61,773&73,730&0&40,510&0&29,617&0&74,867&42,347&28,280&53,936&51,510&41,531&36,062\\ ele&159,913&87,182&114,207&96,486&86,092&0&178,653&71,529&83,001&71,946&37,880&51,149&0&33,497&0&94,149&48,719&0&59,205&58,350&40,898&37,644\\ eeq&137,614&73,699&89,505&80,376&69,428&0&160,808&0&66,004&0&0&40,210&0&31,666&0&83,308&44,506&0&54,856&51,974&39,614&35,771\\ ome&137,987&76,290&98,220&83,630&79,014&0&161,389&70,536&66,827&77,433&42,586&46,979&31,821&30,888&30,880&79,772&44,574&31,348&51,059&52,681&41,876&37,280\\ mvh&125,343&75,621&86,135&82,627&67,916&0&176,040&0&65,690&98,700&0&0&0&31,409&0&68,451&44,859&0&61,221&58,623&45,877&42,855\\ otn&151,988&89,315&114,500&101,819&98,482&0&0&71,260&81,197&113,807&0&61,192&39,970&35,903&0&82,763&54,235&0&57,040&63,035&52,608&53,053\\ omf&129,130&70,346&83,171&75,615&74,913&0&147,862&64,230&52,906&83,053&43,270&35,825&31,594&29,805&34,440&66,644&41,014&0&47,588&47,783&37,619&33,942\\ ely&140,827&88,146&91,766&96,453&87,216&57,280&149,075&85,700&79,874&81,800&0&55,240&0&44,158&0&70,010&54,266&43,270&69,155&78,240&78,534&55,653\\ gdt&148,900&93,430&101,870&99,660&93,450&0&167,200&0&93,300&0&0&81,530&0&53,810&0&80,010&60,980&0&72,370&75,900&83,450&65,280\\ wtr&112,411&73,977&78,295&84,492&73,155&0&118,000&0&67,624&50,900&0&43,417&0&32,729&0&63,140&40,224&37,025&48,515&52,231&49,649&41,958\\ cns&113,252&75,478&76,769&78,357&72,457&39,440&130,672&64,540&56,472&64,470&29,540&38,413&26,244&35,047&28,631&69,985&41,913&33,515&52,780&51,297&48,203&46,308\\ trd&117,063&70,026&85,734&85,736&72,701&48,034&105,762&52,004&45,801&67,649&29,436&36,176&27,162&28,610&27,862&36,389&38,353&32,004&48,683&45,777&37,347&31,741\\ afs&70,308&56,574&63,774&65,840&55,525&43,340&126,339&37,050&46,798&58,815&46,255&33,324&26,382&27,984&30,366&26,435&31,354&31,690&51,499&38,078&28,819&25,901\\ otp&109,290&69,146&83,609&96,660&61,587&27,440&143,830&49,740&59,841&33,425&27,480&33,492&27,750&31,758&32,835&63,937&41,801&33,824&60,194&52,439&62,347&45,141\\ wtp&128,514&72,530&86,710&107,588&98,450&0&133,510&29,800&46,422&0&0&36,505&34,196&33,689&34,114&56,070&43,695&0&56,520&51,101&47,835&58,284\\ atp&130,407&71,953&83,506&86,670&75,430&0&150,602&57,550&64,418&58,692&0&42,635&36,520&34,617&38,029&65,940&50,495&45,220&0&81,067&0&88,365\\ whs&113,653&67,358&75,955&82,537&65,717&0&130,168&50,250&44,690&71,780&0&38,125&28,486&36,724&27,575&61,318&42,148&33,190&52,488&53,983&40,547&39,358\\ cmn&153,466&87,318&99,715&98,915&87,931&58,328&161,220&52,774&73,381&64,875&0&55,561&25,475&45,051&28,720&70,665&48,455&0&69,582&63,258&43,209&42,176\\ ofi&151,846&91,911&101,263&107,133&100,789&49,908&150,070&53,305&74,414&76,730&34,558&51,990&36,349&31,140&37,792&86,586&41,963&41,180&63,659&52,112&54,590&43,640\\ ins&156,606&74,767&93,847&105,184&79,509&59,085&98,449&68,114&69,543&77,000&43,060&53,244&34,776&29,570&35,175&68,787&43,656&0&80,185&50,894&45,535&44,986\\ rsa&89,430&73,970&84,320&83,930&86,830&0&97,990&46,810&55,760&0&0&40,730&28,150&33,340&33,310&51,280&39,310&0&53,530&41,640&53,550&35,620\\ obs&148,463&81,073&95,394&88,278&81,552&50,523&111,296&62,891&66,036&67,305&30,677&33,345&29,042&31,306&29,201&58,296&41,023&28,920&49,458&48,485&34,312&31,107\\ ros&110,122&67,747&89,784&82,314&70,897&46,254&117,609&44,205&61,996&63,645&42,410&29,773&27,332&30,963&32,770&33,992&36,293&31,756&52,798&43,714&31,131&33,156\\ osg&103,090&75,979&85,987&89,725&75,607&54,388&98,344&50,191&53,011&90,243&36,034&61,570&32,724&35,807&31,304&41,635&43,743&40,420&51,569&54,448&56,415&52,537\\ edu&105,743&66,457&68,926&75,587&69,035&60,092&124,745&59,449&49,665&83,101&40,808&38,354&28,114&34,255&29,698&45,968&40,251&36,292&57,438&47,466&49,015&35,198\\ hht&103,899&63,422&77,364&78,660&85,180&45,808&103,146&37,645&55,283&86,679&30,366&38,116&28,493&29,153&29,776&45,149&39,015&28,870&56,587&44,829&32,931&32,308\\ dwe&91,640&64,970&65,010&56,170&64,820&0&0&0&38,250&0&0&34,940&0&38,610&37,430&59,140&44,240&45,560&50,260&48,040&39,410&43,510\\ max&159,913&93,430&114,500&123,025&100,789&60,092&178,653&85,700&93,300&113,807&46,255&81,530&39,970&53,810&38,029&94,149&60,980&45,770&80,185&81,067&83,450&88,365\\ average&105,954&78,174&93,762&88,728&77,411&50,481&109,451&57,873&61,837&84,278&31,005&49,891&26,652&33,401&31,219&43,159&41,065&31,144&52,577&50,090&40,122&37,904\\ \hline \end{tabular}} \end{minipage} \vspace{2mm} \label{tab:annual_wage_matrix} \end{sidewaystable} \end{landscape} \restoregeometry \newgeometry{top=2.0cm, left=0.5cm, right=0.5cm, bottom=3.5cm} \begin{landscape} \begin{sidewaystable}[tbph] \centering \caption{GTAP-Wage Bill Matrix (2019), by US dollar} \hspace{-9.0cm}\begin{minipage}[b]{1.0\linewidth} \scalebox{0.41}{ \begin{tabular}{p{1.2cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4 cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}p{2.4cm}} \hline GTAP Sector&man&bus&com&arc&sci&soc&legal&edu&ent&hep&hes&pro&fod&bui&per&sales&adm&farm&con&man&prd&tra \\ \hline pdr&336,185,618&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&80,865,658&0&0&0&0\\ wht&1,986,313,955&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&477,865,107&0&0&0\\ gro&7,821,606,514&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&1,881,741,368&0&0&0&0\\ v\_f&7412,339,023&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&9,068,909,595&0&0&0&0\\ osd&6,451,287,638&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&1,552,067,858&0&0&0&0\\ c\_b&1,844,743,156&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&271,104,912&0&0&0&0\\ pfb&10,477,229,741&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&1,539,770,315&0&0&0&0\\ ocr&11,401,582,589&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&5,334,524,832&0&0&0&0\\ ctl&28,770,437,385&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&5,060,097,099&0&0&0&0\\ oap&8290,312,126&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&2,645,306,955&0&0&0&0\\ rmk&12,536,805,683&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&2,488,482,235&0&0&0&0\\ wol&40,661,079&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&2,888,059&0&0&0&0\\ frs&72,892,500&17,193,800&0&4,351,200&68,709,200&0&0&0&0&0&0&2,872,000&0&5,289,600&0&4,022,200&130,944,000&1,363,488,300&23,749,000&82,536,000&30,841,500&378,853,900\\ fsh&614,914,385&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&103,535,370&0&0&0&0\\ coa&189,802,900&48,980,400&5109,300&98,246,400&35,471,100&0&2,645,200&0&0&0&0&5,370,400&0&5,020,600&0&5,504,400&50,159,400&0&1,779,728,300&502,596,600&119,038,400&264,170,500\\ oil&3,615,734,180&1,888,204,580&977,772,100&2,666,170,560&1,220,303,040&0&243,471,600&0&21,910,360&4,252,080&0&13,813,060&3,598,000&12,903,920&0&728,775,570&1,234,391,380&1,935,990&7,033,234,080&1,329,657,600&1,160,863,760&1,970,592,420\\ gas&1,484,105,720&774,996,380&401,276,220&1,094,426,880&500,884,440&0&99,903,600&0&8,916,690&1,670,460&0&5,618,100&1,477,940&5,261,510&0&299,162,940&506,673,490&790,200&2,886,910,980&545,705,450&476,527,700&808,831,530\\ oxt&679,250,200&213,133,500&31,403,600&301,389,600&192,738,400&0&0&0&4,490,500&4,422,600&0&16,960,000&0&8,650,500&0&93,584,700&436,890,000&1,812,500&2,865,086,800&1,086,598,500&892,135,800&1,020,519,000\\ cmt&529,022,550&201,343,200&27,897,320&38,798,760&89,303,760&4,062,100&0&1,020,200&5,246,880&25,251,000&0&13,415,940&11,294,640&146,227,000&629,200&103,161,360&452,969,950&155,781,560&23,677,280&739,831,580&5,165,253,480&1,568,308,140\\ omt&519,531,780&197,772,870&27,430,140&38,091,900&87,709,050&4,004,070&0&969190&5,131,140&24,852,000&0&13,201,530&11,085,480&143,592,000&597,740&101,365,830&444,908,400&153,018,960&23,237,000&726,635,290&5,072,954,700&1,540,294,830\\ vol&393,055,080&155,147,400&20,308,600&123,721,010&155,029,650&0&0&0&0&0&0&0&0&20,780,550&0&62,447,490&178,925,940&27,413,760&27,194,510&253,549,920&1,126,986,750&334,099,040\\ mil&773,625,000&287,654,500&79,600,500&118,972,000&246,236,600&0&0&0&16,580,700&0&0&9,909,200&67,643,400&64,778,000&0&208,588,800&465,888,200&11,685,800&14,851,200&617,805,600&2,942,426,500&1,073,527,600\\ pcr&29,119,860&11,515,950&1,484,090&9,139,900&11,454,420&0&0&0&0&0&0&0&0&1,539,300&0&4,615,380&13,268,370&2,001,280&1,991,360&18,795,600&83,648,300&24,775,620\\ sgr&37,158,200&10,766,300&2,553,210&5,306,490&4,989,960&0&0&0&794,720&0&0&384,960&1,721,160&3,204,840&0&18,717,960&15,517,500&0&2,938,040&25,262,160&112,574,130&35,625,980\\ ofd&4,194,664,140&1,296,394,040&230,372,520&464,121,780&644,072,720&0&10,265,200&0&77,811,710&6,125,600&0&25,702,260&954,677,720&458,818,040&2,212,000&2,097,895,950&2,403,010,420&235,286,100&145,657,000&2,558,929,260&14,885,342,080&5,234,060,630\\ b\_t&1,669,350,300&642,206,900&106,881,800&174,850,000&144,948,800&0&14,513,400&0&305,015,400&0&0&14,481,200&1,150,641,600&62,875,800&25,360,200&1,892,981,400&731,367,000&243,317,100&82,443,300&854,865,400&3,446,982,000&1,660,529,400\\ tex&986,996,000&283,317,700&69,471,500&209,001,000&30,793,700&0&0&0&104,593,200&0&0&1,377,000&0&23,667,600&0&419,738,700&891,581,800&0&59,289,400&621,428,800&4,565,879,500&547,394,700\\ wap&677,886,000&223,933,600&90,458,400&18,083,100&0&0&0&0&308,216,800&0&0&2,544,800&0&11,610,000&0&290,167,600&522,725,000&0&0&87,769,300&2,061,951,200&219,413,700\\ lea&123,862,100&50,987,200&3,921,000&15,366,600&1,427,400&0&0&0&9,095,000&0&0&0&0&3,389,900&0&50,013,400&93,718,000&0&0&32,120,400&591,362,900&16,871,800\\ lum&1,489,472,200&454,146,200&82,511,000&327,680,500&87,310,100&0&3,832,800&0&37,816,800&0&0&18,910,000&0&54,724,500&0&680,262,500&1,007,689,800&267,544,700&855,800,700&997,366,600&7,457,212,600&2,429,081,400\\ ppp&4,783,571,780&1,557,130,280&622,800,600&931,220,300&125,133,100&0&0&0&1,169,374,140&5,715,900&0&16,853,840&0&78,004,300&0&2,562,361,700&4,452,043,700&2,645,400&204,133,700&2,187,854,700&17,353,815,180&2,729,100,420\\ p\_c&776,600,000&395,636,340&91,797,420&876,856,600&275,675,960&0&9,635,600&0&10,256,960&4,695,400&0&7,552,950&0&5,289,600&0&136,943,840&238,548,000&0&394,968,260&527,111,200&2,477,349,200&303,775,980\\ chm&3,250,138,230&1,098,627,310&306,124,060&1,815,900,120&1,402,749,475&0&37,058,505&0&70,412,190&9,967,120&0&15,719,860&0&29,329,245&0&831,186,370&1,278,449,975&8,075,760&137,042,050&1,317,785,780&6,266,298,020&904,196,500\\ bph&6,978,566,040&2,315,545,830&1,009,071,160&2,109,534,840&4,128,750,475&0&175,510,775&0&191,792,130&255,659,820&7,109,400&20,133,850&0&69,216,795&0&1,836,724,105&1,417,207,775&11,200,280&94,481,000&1,183,784,440&6,067,001,500&736,399,350\\ rpp&5,481,691,620&1,855,571,200&585,991,300&2,957,502,455&833,480,425&0&25,282,255&0&123,238,225&4,501,280&0&22,061,585&0&99,966,165&0&1,496,599,945&2,934,180,000&3,670,800&272,846,780&2,839,901,600&19,408,590,560&2,972,453,650\\ nmm&2,408,863,100&741,785,380&147,617,150&968,929,770&224,828,100&0&11,782,400&0&74,719,960&4,288,850&0&10,971,400&0&42,770,100&0&1,005,173,800&1,624,558,750&0&1,417,646,400&1,567,594,150&7,338,354,350&4,624,839,560\\ i\_s & 774,493,610 & 261,267,110 & 102,117,720 & 610,388,850 & 74,866,990 & 0 & 0 & 0 & 3,985,880 & 2,243,340 & 0 & 8,337,950 & 692,640 & 19,680,070 & 0 & 184,383,350 & 418,825,960 & 0 & 206,721,940 & 1,046,852,040 & 3,885,197,900 & 574,263,180 \\ nfm & 1,051,173,100 & 349,869,280 & 104,481,170 & 652,113,940 & 113,623,010 & 0 & 0 & 0 & 7,721,560 & 1,678,600 & 0 & 14,158,160 & 721,500 & 25,258,170 & 0 & 241,025,000 & 549,818,700 & 0 & 171,555,970 & 886,599,050 & 4,656,053,700 & 527,156,430 \\ fmp & 10,242,718,220 & 3,399,486,750 & 930,131,120 & 6,727,138,300 & 243,979,490 & 0 & 23,046,280 & 0 & 201,071,250 & 19,022,440 & 0 & 35,811,270 & 0 & 191,712,030 & 0 & 2,423,805,300 & 5,800,364,710 & 1,216,040 & 1,544,297,200 & 3,858,981,050 & 45,277,627,805 & 3,559,836,135 \\ ele & 13,915,661,950 & 6,452,609,750 & 13,723,876,470 & 16,412,729,870 & 436,143,500 & 0 & 360,699,800 & 4,863,960 & 591,962,460 & 42,160,450 & 1,477,320 & 41,481,510 & 0 & 57,514,000 & 0 & 3,077,625,900 & 3,286,072,800 & 0 & 93,898,580 & 1,394,209,100 & 10,504,269,290 & 674,083,370 \\ eeq & 3,217,681,540 & 1,185,225,620 & 611,674,660 & 3,007,044,160 & 68,039,100 & 0 & 26,211,760 & 0 & 80,129,440 & 0 & 0 & 2,814,700 & 0 & 25,902,480 & 0 & 866,649,100 & 1,129,827,560 & 0 & 119,476,540 & 685,437,480 & 6,484,344,290 & 559,286,900 \\ ome & 18,305,897,450 & 7,793,860,945 & 5,269,306,830 & 16,184,454,935 & 657,156,745 & 0 & 229,656,700 & 5,713,430 & 542,369,970 & 157,422,150 & 13,414,450 & 55,482,690 & 3,500,300 & 198,643,195 & 1,544,000 & 5,244,839,555 & 7,626,277,165 & 3,322,880 & 1,727,363,725 & 4,245,758,745 & 39,663,200,270 & 3,333,089,810 \\ mvh & 1,186,998,800 & 734,281,500 & 293,719,800 & 1,534,375,700 & 41,428,600 & 0 & 19,364,400 & 0 & 34,158,800 & 18,753,000 & 0 & 0 & 0 & 19,473,800 & 0 & 363,473,400 & 615,458,800 & 0 & 631,804,800 & 1,022,967,400 & 13,279,952,400 & 788,102,100 \\ otn & 6,913,923,800 & 6,016,275,800 & 5,599,064,100 & 13,651,953,300 & 379,156,000 & 0 & 0 & 5,700,800 & 247,652,200 & 33,004,100 & 0 & 189,084,800 & 1,998,500 & 76,472,500 & 0 & 508,166,500 & 2,332,649,100 & 0 & 1,493,873,800 & 3,412,690,300 & 13,529,775,500 & 1,130,559,400 \\ omf & 6,619,711,560 & 2,462,166,100 & 1,044,042,520 & 2,611,215,410 & 226,912,810 & 0 & 73,043,900 & 1,156,140 & 897,863,550 & 170,092,900 & 19,211,880 & 21,817,680 & 3,759,630 & 99,607,460 & 3,099,600 & 2,354,934,300 & 3,938,860,270 & 0 & 797,575,400 & 1,225,488,690 & 18,236,583,490 & 1,927,183,990 \\ ely & 4,577,454,760 & 2,895,768,400 & 1,323,811,020 & 4,062,714,990 & 838,236,100 & 2,291,200 & 166,964,000 & 11,998,000 & 136,345,230 & 9,816,000 & 0 & 348,012,000 & 0 & 91,761,200 & 0 & 369,372,280 & 3,505,994,380 & 10,947,290 & 1,326,125,200 & 9,477,973,800 & 4,730,241,040 & 426,027,350 \\ gdt & 1,186,733,000 & 1,408,924,400 & 507,312,600 & 779,341,200 & 84,105,000 & 0 & 71,896,000 & 0 & 35,454,000 & 0 & 0 & 8,968,300 & 0 & 2,690,500 & 0 & 312,839,100 & 1,189,110,000 & 0 & 802,583,300 & 1,793,517,000 & 937,143,500 & 152,102,400 \\ wtr & 2,813,085,000 & 822,401,950 & 112,979,010 & 772,088,220 & 535,346,300 & 0 & 1,062,000 & 0 & 23,127,480 & 62,607,000 & 0 & 25,616,300 & 0 & 140,441,200 & 0 & 675,783,390 & 2,178,990,680 & 7,997,480 & 4,265,620,650 & 1,368,926,190 & 1,120,915,790 & 8,344,797,160 \\ cns & 56,316,855,400 & 21,296,818,200 & 1,388,742,400 & 7,392,939,200 & 1,059,317,500 & 7,099,200 & 257,423,400 & 2,581,600 & 600,861,000 & 3,223,500 & 1,772,400 & 233,164,300 & 22,044,600 & 1,279,916,200 & 14,888,200 & 11,687,471,200 & 28,615,638,000 & 11,395,100 & 243,392,251,100 & 33,008,353,000 & 6,371,435,400 & 10,998,661,300 \\ trd & 103,843,750,653 & 34,817,084,770 & 19,283,931,780 & 6,380,583,860 & 1,470,666,407 & 101,351,200 & 713,893,400 & 81,126,000 & 8,897,971,127 & 33,850,755,100 & 1,014,655,400 & 2,152,309,980 & 15,260,198,960 & 2,653,625,607 & 3,166,758,180 & 331,768,262,320 & 92,516,393,330 & 1,999,551,780 & 3,125,855,613 & 72,595,981,220 & 25,753,349,260 & 128,640,322,290 \\ afs & 26,515,856,900 & 2,506,216,800 & 280,607,600 & 51,355,200 & 13,325,900 & 6,501,000 & 24,004,500 & 26,676,000 & 844,243,800 & 334,658,500 & 511,584,200 & 2,587,919,700 & 295,226,673,900 & 17,473,545,000 & 5,439,820,600 & 12,620,957,100 & 14,678,492,500 & 32,958,000 & 275,002,500 & 5,348,835,000 & 3,019,060,100 & 8,180,359,800 \\ otp & 7,807,650,500 & 2,634,461,100 & 670,545,000 & 783,913,000 & 312,861,300 & 2,469,600 & 110,749,300 & 14,424,600 & 68,219,200 & 30,751,400 & 4,122,000 & 977,636,300 & 17,760,100 & 188,640,500 & 175,994,100 & 1,498,684,800 & 10,612,781,400 & 76,104,500 & 2,151,329,000 & 7,907,803,900 & 1,840,496,900 & 75,914,767,600 \\ wtp & 541,044,800 & 221,943,100 & 40,753,700 & 59,173,200 & 4,922,500 & 0 & 4,005,300 & 5,960,000 & 14,390,800 & 0 & 0 & 5,110,700 & 155,934,000 & 10,780,400 & 35,478,600 & 107,653,500 & 470,158,500 & 0 & 5,086,800 & 137,973,300 & 34,441,200 & 2,966,050,600 \\ atp & 1,353,627,400 & 964,174,300 & 529,428,000 & 160,339,000 & 21,120,500 & 0 & 34,638,400 & 2,302,000 & 75,368,800 & 7,630,000 & 0 & 23,449,200 & 1,095,600 & 7,269,500 & 36,888,400 & 288,815,400 & 5,623,614,500 & 2,713,200 & 0 & 4,076,036,100 & 0 & 26,195,660,200 \\ whs & 8,453,508,800 & 3,661,574,000 & 1,218,324,700 & 742,832,000 & 122,891,100 & 0 & 35,145,400 & 14,070,000 & 114,852,500 & 32,301,000 & 0 & 567,295,800 & 34,183,700 & 482,192,200 & 218,948,300 & 2,398,155,500 & 15,160,659,700 & 20,909,700 & 204,703,600 & 5,786,452,500 & 1,794,997,500 & 45,638,883,600 \\ cmn & 47,864,707,560 & 27,198,687,800 & 84,920,693,540 & 6,350,937,320 & 262,561,900 & 6,649,400 & 1,149,985,020 & 919,482,240 & 33,818,873,920 & 144,606,020 & 0 & 433,874,980 & 1,472,803,290 & 962,659,660 & 2,187,127,700 & 23,592,011,500 & 51,465,494,400 & 0 & 922,721,060 & 17,984,892,400 & 1,176,441,020 & 29,611,552,860 \\ ofi & 71,049,057,030 & 103,399,272,620 & 31,050,074,350 & 2,089,954,060 & 711,366,300 & 291,609,630 & 4,207,656,290 & 129,478,880 & 1,598,861,740 & 858,301,780 & 176,593,500 & 500,767,520 & 126,021,200 & 234,704,730 & 74,601,980 & 45,490,660,100 & 65,867,987,890 & 14,660,080 & 196,898,120 & 880,223,750 & 370,886,020 & 693,397,200 \\ ins & 29,993,418,060 & 42,569,970,790 & 18,721,803,200 & 226,144,800 & 133,575,600 & 767,928,470 & 3,546,714,180 & 25,883,200 & 616,641,390 & 4,344,320,400 & 59,422,200 & 117,137,700 & 30,950,600 & 82,500,300 & 7,738,500 & 30,328,829,480 & 37,090,960,540 & 0 & 48,912,800 & 221,895,800 & 49,178,200 & 81,424,700 \\ rsa & 23,663,178,000 & 9,036,914,900 & 1,029,547,200 & 325,648,400 & 34,732,000 & 0 & 724,146,100 & 8,893,900 & 318,389,600 & 0 & 0 & 1,058,165,400 & 489,810,000 & 4,313,862,600 & 668,864,800 & 15,310,156,800 & 14,082,807,500 & 0 & 1,126,271,200 & 14,671,854,000 & 213,129,000 & 642,941,000 \\ obs & 239,016,896,630 & 190,638,714,000 & 175,471,704,570 & 93,690,348,940 & 32,821,607,250 & 2,304,204,730 & 83,704,572,070 & 1,428,061,190 & 32,199,363,290 & 27,993,443,310 & 7,725,401,350 & 28,212,377,310 & 3,106,074,700 & 52,714,560,140 & 6,362,102,640 & 64,293,617,240 & 154,803,713,410 & 8,977,846,820 & 13,678,258,990 & 18,920,438,880 & 32,066,319,010 & 46,585,362,330 \\ ros & 40,240,400,620 & 22,928,842,660 & 6,889,380,410 & 605,255,560 & 1,297,416,200 & 5,386,938,540 & 1,220,781,900 & 6,325,603,060 & 20,036,186,360 & 1,274,999,510 & 3,135,991,760 & 4,768,855,450 & 12,052,838,860 & 17,090,522,870 & 50,666,951,630 & 41,267,219,310 & 28,764,187,630 & 267,573,410 & 2,286,795,430 & 15,421,243,000 & 7,698,177,670 & 8,068,551,530 \\ osg & 63,069,723,900 & 80,742,002,700 & 22,908,702,300 & 25,869,623,700 & 23,553,000,500 & 27,962,034,700 & 26,362,961,200 & 10,863,398,600 & 2,369,614,000 & 19,231,584,000 & 5,158,269,100 & 122,193,176,000 & 2,553,451,600 & 9,196,734,100 & 6,912,248,900 & 2,417,748,100 & 69,113,065,000 & 462,404,800 & 22,903,217,600 & 23,169,351,400 & 10,128,159,400 & 21,726,608,600 \\ edu & 75,038,424,180 & 22,928,633,280 & 16,012,387,580 & 1,731,782,150 & 13,282,283,080 & 23,491,464,410 & 755,206,080 & 473,383,073,240 & 13,337,531,200 & 40,618,710,460 & 8,531,623,290 & 6,607,246,740 & 11,436,316,010 & 16,070,298,780 & 9,474,963,070 & 1,806,988,940 & 55,865,476,750 & 119,146,080 & 2,330,266,800 & 7,784,896,660 & 976,041,300 & 9,222,556,770 \\ hht & 77,461,845,660 & 24,205,261,660 & 11,229,580,230 & 373,478,100 & 10,112,573,900 & 52,708,263,560 & 622,485,300 & 16,600,206,280 & 2,071,335,090 & 576,699,595,980 & 175,580,822,020 & 2,967,668,280 & 15,029,114,750 & 12,263,035,100 & 16,857,690,300 & 3,073,634,700 & 102,673,416,960 & 71,770,760 & 1,093,834,300 & 6,938,943,340 & 2,670,219,860 & 5,364,196,550 \\ dwe & 7,285,380,000 & 1,914,665,900 & 65,010,000 & 14,604,200 & 93,989,000 & 0 & 0 & 0 & 24,862,500 & 0 & 0 & 8,735,000 & 0 & 68,882,170,500 & 13,474,800 & 2,748,235,800 & 5,992,308,000 & 318,920,000 & 1,732,462,200 & 2,892,488,400 & 343,261,100 & 2,069,770,700 \\ \hline \end{tabular}} \end{minipage} \vspace{2mm} \label{tab:wage_bill_matrix} \end{sidewaystable} \end{landscape} \restoregeometry \end{document}