C 59.8: R 26/2/ 997 REGIONAL MULTIPLIERS A User Handbook for the Regional Input-Output Modeling System (RIMS II)* Third Edition U.S. DEPARTMENT OF COMMERCE Economics and Statistics Administration Bureau of Economic Analysis / ¥ % Pennsylvania State University Libraries MAY 1 1997 Documents Collection U.S. Depository Copy REGIONAL MULTIPLIERS A User Handbook for the Regional Input-Output Modeling System (RIMS II) Third Edition March 1997 U.S. DEPARTMENT OF COMMERCE William M. Daley, Secretary • • • • X/lM ECONOM 'CS AND STATISTICS ADMINISTRATION ECONOMICS AND STATISTICS ADMINISTRATIO N Everett M. Ehrlich, Under Secretory for Economic Affairs BUREAU OF ECONOMIC ANALYSIS J. Steven Landefeld, Director Betty L. Barker, Deputy Director For sale by the Superintendent of Documents, U.S. Government Printing Office, Washington, DC 20402 Acknowledgments The Regional Input-Output Modeling System at the Bureau of Economic Analysis is under the general guid- ance of Hugh W. Knox, Associate Director for Regional Economics, and under the direction of John R. Kort, Chief of the Regional Economic Analysis Division. This handbook was prepared by G. Andrew Bernat, Jr., Chief of the Analysis Branch, and by regional economists Zoe O. Ambargis, Eric S. Repice, and Philip A. Szczesniak. Howard L. Friedenberg, Chief of the Special Studies Branch, assisted in preparing the text. Clifford H. Woodruff, III designed and produced the tables. Ernestine T. Gladden of the Publication Services Branch of the Current Business Analysis Division coor- dinated the publication of this book and typeset the text and the text tables. Eric B. Manning assisted in type- setting the tables. M. Gretchen Gibson edited the text. Wm. Ronnie Foster designed the cover. 111 Digitized by the Internet Archive in 2013 http://archive.org/details/regionalmultipOOunit Contents Acknowledgments — iii Introduction 1 RIMS II Multipliers for Output, Earnings, and Employment 3 Final-Demand Multipliers for Output ................................. — 3 Multipliers for Earnings 3 Multipliers for Employment 4 Choosing a Multiplier 4 Information Required From Users of RIMS II 7 Affected Region ............ 7 Affected Industries 8 Project Phases 8 Initial Changes 8 Change in final demand — 9 Change in earnings and employment 9 Separating the Initial Changes 9 Four Case Studies Using RIMS II Multipliers ..... 11 Case Study 1 : Constructing and Operating a Sports Facility 1 Sports facility construction 1 Using data on final-demand changes 1 Using data on initial changes in earnings and employment 1 Using data on changes in the bill-of-goods 1 Sports facility operation 12 Case Study 2: Closing and Converting a Military Base and Operating a Factory 14 Military base closing 14 Factory operation 15 Impacts of the conversion 16 Case Study 3: Departure of an Industry from a Region 17 Case Study 4: Arrival of an Industry in a Region 17 Appendix A: Data Sources and Methods 21 The Adjusted National Direct Requirements Table 21 The household row 21 The household column 22 The Regional Direct Requirements Table 22 The Regional Total Requirements Table and the Multipliers 23 Final-demand earnings and employment multipliers 23 Direct-effect earnings and employment multipliers 23 Output-driven multipliers 24 Suggested Reading 24 Appendix B: Detailed Industries for Which Multipliers Are Available 27 Appendix C: Industry Aggregations for Which Multipliers Are Available . 35 Appendix D: Sample Tables From RIMS II 39 Appendix E: BEA Economic Areas 59 VI Introduction Effective planning for public- and private-sector projects and programs at the State and local levels requires a sys- tematic analysis of the economic impacts of the projects and programs on affected regions. In turn, systematic analysis of economic impacts must account for the in- terindustry relationships within regions because these relationships largely determine how regional economies are likely to respond to project and program changes. Thus, regional input-output (I-O) multipliers, which ac- count for interindustry relationships within regions, are useful tools for regional economic impact analysis. In the 1970's, the Bureau of Economic Analysis (BEA) developed a method for estimating regional 1-0 multi- pliers known as RIMS (Regional Industrial Multiplier System), which was based on the work of Garnick and Drake. 1 In the 1 980's, BEA completed an enhancement of RIMS, known as RIMS II (Regional Input-Output Mod- eling System), and published a handbook for RIMS II users. 2 In 1992, BEA published a second edition of the handbook, in which the multipliers were based on more recent data and improved methodology. Now, BEA is making available a third edition of the handbook, in re- sponse to requests by users for additional discussion of the data that they must provide in order to use RIMS II and of the data sources and methods used for multiplier estimation. The multipliers in the third edition reflect 1-0 data for 1987, the most recent benchmark year for which BEA's national 1-0 data are available. RIMS II is based on an accounting framework called an 1-0 table. For each industry, an 1-0 table shows the distribution of the inputs purchased and the outputs sold. A typical 1-0 table in RIMS II is derived mainly from two data sources: BEA's national 1-0 table, which shows the input and output structure of nearly 500 U.S. industries, and BEA's regional economic accounts, which are used to 1 . See Daniel H. Garnick, "Differential Regional Multiplier Models "Jour- nal of Regional Science 10 (February 1970): 35-47; and Ronald L. Drake, "A Short-Cut to Estimates of Regional Input-Output Multipliers," International Regional Science Review 1 (Fall 1976): 1-17. 2. See U.S. Department of Commerce, Bureau of Economic Analysis, Re- gional Input-Output Modeling System (RIMS II): Estimation, Evaluation, and Application of a Disaggregated Regional Impact Model (Washington, DC: U.S. Government Printing Office, 1981); and U.S. Department of Commerce, Bureau of Economic Analysis, Regional Multipliers: A User Handbook for the Regional Input-Output Modeling System (RIMS II) (Washington, DC: U.S. Government Printing Office, 1986). adjust the national 1-0 table in order to reflect a region's industrial structure and trading patterns. 3 Using RIMS II for impact analyses has several advantages. 4 RIMS II multipliers can be estimated for any region composed of one or more counties and for any industry or group of industries in the national 1-0 table. The cost of estimating regional multipliers is rel- atively low because of the accessibility of the main data sources for RIMS II. According to empirical tests, the estimates based on RIMS II are similar in magnitude to the estimates based on relatively expensive surveys. 5 To effectively use the multipliers for impact analy- sis, users must provide geographically and industrially detailed information on the initial changes in output, earn- ings, or employment that are associated with the project or program under study. The multipliers can then be used to estimate the total impact of the project or program on regional output, earnings, or employment. RIMS II is widely used in both the public and private sector. In the public sector, for example, the Department of Defense uses RIMS II to estimate the regional impacts of military base closings, and State departments of trans- portation use RIMS II to estimate the regional impacts of airport construction and expansion. In the private sector, analysts, consultants, and economic development practi- tioners use RIMS II to estimate the regional impacts of a variety of projects, such as the development of theme parks and shopping malls. This handbook comprises three additional sections of text and five appendixes. In the second section, the types of RIMS II multipliers are discussed, and examples of their use are presented. In the third section, the informa- tion that users of RIMS II must provide and the proper use of RIMS II multipliers are discussed. In the fourth 3. See U.S. Department of Commerce, Bureau of Economic Analysis, Benchmark Input-Output Accounts of the United States, 1987 (Washington, DC: U.S. Government Printing Office, 1994); and U.S. Department of Com- merce, Bureau of Economic Analysis, Local Area Personal Income, 1969-92 (Washington, DC: U.S. Government Printing Office, 1994). 4. For a discussion of the limitations of using 1-0 models in impact analysis, see Daniel M. Otto and Thomas G. Johnson, Microcomputer-Based Input- Output Modeling (Boulder, CO: Westview Press, 1993), 28-46. 5. See Regional Input-Output Modeling System (RIMS II), 39-57; and Sharon M. Brucker, Steven E. Hastings, and William R. Latham III, "The Variation of Estimated Impacts from Five Regional Input-Output Models," International Regional Science Review 13 (1990): 119-39. 1 REGIONAL MULTIPLIERS section, four hypothetical case studies that illustrate use of the multipliers are presented; the case studies focus on estimating the regional economic impacts of construct- ing and operating a sports facility, closing and converting a military base, closing a motor vehicle manufactur- ing plant, and opening a glass-container manufacturing plant. In appendix A, the data sources and methods used in estimating the RIMS II multipliers are dis- cussed, and a list of suggestions for further reading is presented. Appendix B presents a list of the detailed industries for which multipliers are available, and appendix C presents a list of the industry aggregations for which multipliers are available. Appendix D presents a sample of one of the four detailed-industry tables that are available from RIMS II, and it presents a sample of one of the four aggregate- industry tables that are available. Appendix E presents information on BEA economic areas, which can help RIMS II users in their choice of regions for impact analysis. Availability of Regional 1-0 Multipliers From RIMS II For any region composed of one or more counties, RIMS II can provide two series of tables of 1-0 multipliers: Series 1 is for detailed industries, and series 2 is for industry aggregations. Each series consists of four tables: (1) Output multipliers, (2) earnings multipliers, (3) employment multipliers, and (4) total final-demand multipliers for output, earnings, and employment and total direct-effect multipliers for earnings and employment. Table designation Type of multiplier Industry composition 1.1 1.2 Final-demand output multipliers 38 row industries and 471 column industries 38 row industries and 471 column industries 38 row industries and 471 column industries Totals of 471 row industries 38 row industries and 38 column industries 38 row industries and 38 column industries 38 row industries and 38 column industries Totals of 38 row industries Final-demand earnings multipliers 1.3 Total final-demand output, earnings, and employment multipliers and total direct-effect earnings ana em- ployment multipliers. Total final-demand output, earnings, and employment multipliers and total direct-effect earnings ana em- ployment multipliers. 1.4 2.1 2.2 2.3 2.4 The prices of the tables (two series per region) are on a descending scale, starting at $ 1 ,500 per region for the first region ordered. For further information or to place an order, e-mail rimsread@bea.doc.gov, call (202) 606-5343, or write to Regional Economic Analysis Division, BE-61, Bureau of Economic Analysis, U.S. Department of Commerce, Washington, DC 20230. RIMS II Multipliers for Output, Earnings, and Employment RIMS II provides users with five types of multipliers: Final-demand multipliers for output, for earnings, and for employment and direct-effect multipliers for earnings and for employment. These multipliers measure the eco- nomic impact of a change in final demand, in earnings, or in employment on a region's economy. 6 This section defines the RIMS II multipliers and gives brief examples of their use. (For a detailed discussion of the source data and methods used in the derivation of the RIMS II multipliers, see appendix A.) Final-Demand Multipliers for Output The final -demand multipliers for output are the basic mul- tipliers from which all the other RIMS II multipliers are derived. They are presented in the final-demand output multiplier table. (For a sample of this table, designated as table 1.1, see appendix D.) In this table, each column entry indicates the change in output in each row indus- try that results from a $1 change in final demand in the column industry. The impact on each row industry is calculated by multiplying the final-demand change in the column industry by the multiplier for each row. The total impact on regional output is calculated by multiplying the final-demand change in the column industry by the sum of all the multipliers for each row except the household row. 7 For example, suppose that final demand in the food products machinery industry in the Kansas City BEA eco- nomic area (hereafter called the Kansas City economic area) increases by $1 million. 8 The effect of this increase 6. The term "change in final demand," rather than the "change in output delivered to final users," is used in this handbook because of its widespread use in regional impact analysis. The impact of an increase in final demand, earnings, or employment differs from that of a decline only by the sign of the impact. 7. The household row is excluded to avoid double counting, because each of the other row entries already includes earnings paid to households. 8. For a detailed map of the Kansas City BEA economic area and a map and a listing of the 1 72 BEA economic areas and associated metropolitan areas, see appendix E. For a discussion of the procedure used to define the BEA economic areas, see Kenneth P. Johnson, "Redefinition of the BEA Economic Areas," Survey of Current Business 75 (February 1995): 75-81. in output on output in each industry in the economic area is calculated from the column of final-demand out- put multipliers for the food products machinery industry (summarized in column 1 in table A). 9 According to these calculations, the output of the farm products and agri- cultural, forestry, and fishing services industry increases by $15,000 (0.0150 times $1 million); the output of the industrial machinery and equipment industry, which in- cludes the food products machinery industry, increases by $1.0393 million (1.0393 times $1 million); and total output in the economic area increases by $2.0655 million (2.0655 times $1 million). Table A.— Final-Demand Multipliers for the Food Prod- ucts Machinery Industry, Kansas City, MO-KS Eco- nomic Area Industry Output (dollars) Earnings (dollars) Employ- ment' (jobs) (1) (2) (3) Farm products and agricultural, forestry, and fishing services Industrial machinery and equipment 0.0150 1.0393 1.0112 2.0655 0.0036 .3072 .2983 .6091 0.2846 9.8743 All other industries Total 14.1743 24.3332 1 . The employment multiplier is measured on the basis of a $1 million change in output delivered to final demand. Multipliers for Earnings RIMS II provides two types of multipliers for estimating the impacts of changes on earnings: Final -demand multi- pliers and direct-effect multipliers. These multipliers are derived from the table of final -demand output multipliers. The final-demand multipliers for earnings can be used if data on final-demand changes are available. In the final-demand earnings multiplier table, each column entry indicates the change in earnings in each row industry that results from a $1 change in final demand in the column industry. The impact on each row industry is calculated by multiplying the final-demand change in the column 9. For the complete final-demand output multiplier table for this economic area, see RIMS table 1 .1 in appendix D. REGIONAL MULTIPLIERS industry by the multiplier for each row. The total impact on regional earnings is calculated by multiplying the final- demand change in the column industry by the sum of the multipliers for each row. For example, the effect of a $1 million increase in final demand in the food products machinery industry on earnings in each industry in the Kansas City economic area is calculated from the multipliers for earnings in column 2 in table A. According to these calculations, earnings in the farm products and agricultural, forestry, and fishing services industry increases by $3,600 (0.0036 times $1 million); earnings in the industrial machinery and equipment industry increases by $307,200 (0.3072 times $1 million); and total earnings in the economic area increases by $609,100 (0.6091 times $1 million). The direct-effect multipliers for earnings can be used if data on the initial changes in earnings by industry are available. In the direct-effect earnings multiplier table, each entry indicates the total change in earnings in the region that results from a $1 change in earnings in the row industry. The total impact on regional earnings is calculated by multiplying the initial change in earnings in the row industry by the multiplier for the row. For example, suppose that output in the food products machinery industry in the Kansas City economic area in- creases so that workers in the industry will have additional annual earnings of $1 million. The effect of this increase on total earnings in the economic area is calculated by multiplying the initial change in earnings of $ 1 million by the multiplier in the row for the food products machinery industry in the direct-effect earnings multiplier table. The multiplier is 2.0829, so the total impact on the economic area is an earnings increase of $2.0829 million (2.0829 times $1 million). 10 Multipliers for Employment change in the column industry by the multiplier for each row. The total impact on regional employment is cal- culated by multiplying the final-demand change in the column industry by the sum of the multipliers for each row. For example, the effect of a $1 million increase in final demand in the food products machinery industry on em- ployment in each industry in the Kansas City economic area is calculated from the multipliers for employment in column 3 in table A. According to these calcula- tions, employment in the farm products and agricultural, forestry, and fishing services industry increases by 0.2846 jobs (0.2846 times 1 for each $1 million change in fi- nal demand); employment in the industrial machinery and equipment industry increases by 9.8743 jobs (9.8743 times 1); and total employment in the economic area increases by 24.3332 jobs (24.3332 times 1). The direct-effect multipliers for employment can be used if data on the initial changes in employment by industry are available. In the direct-effect employment multiplier table, each entry indicates the total change in employment in the region that results from a change of one job in the row industry. The total impact on regional employment is calculated by multiplying the ini- tial change in employment in the row industry by the multiplier for the row. For example, suppose that output in the food products machinery industry in the Kansas City economic area increases so that 1 ,000 new jobs in the industry are cre- ated. The effect of this increase on total employment in the economic area is calculated by multiplying the initial change in employment of 1 ,000 jobs by the multiplier in the row for the food products machinery industry in the direct-effect employment multiplier table. The multiplier is 2.601 , so the total impact on the economic area is 2,601 new jobs (2.601 times l,000). n RIMS II provides two types of multipliers for estimating the impacts of changes on employment: Final-demand multipliers and direct-effect multipliers. These multi- pliers are derived from the table of final-demand output multipliers. The final-demand multipliers for employment can be used if data on final-demand changes are available. In the final-demand employment multiplier table, each col- umn entry indicates the change in employment in each row industry that results from a $1 million change in final demand in the column industry. The impact on each row industry is calculated by multiplying the final-demand Choosing a Multiplier The choice of multiplier for estimating the impact of a project on output, earnings, and employment depends on the availability of estimates of the initial changes in final demand, earnings, and employment. If the estimates of the initial changes in all three measures are available, the RIMS II user can select any of the RIMS II multipliers. To assess the reasonableness of the impact estimates based on the multiplier selected, the user can compare these es- timates with the estimates based on the other multipliers. 10. The multiplier is from RIMS table 1.4, which is not included in this handbook. 1 1 . The multiplier is from RIMS table i .4, which is not included in this handbook. REGIONAL MULTIPLIERS In theory, all the impact estimates should be consistent. 12 If the available estimates are limited to initial changes in final demand, the user can select a final-demand multi- plier for impact estimation. If the available estimates are limited to initial changes in earnings or employment, the user can select a direct-effect multiplier. 13 12. The impact estimates based on the product of the initial change in final demand and the final-demand multiplier for earnings (or employment) reflect national average relationships between output and earnings (or employment). In contrast, the impact estimates based on the product of the initial change in earnings (or employment) and the direct-effect multiplier for earnings (or employment) reflect regional relationships between output and earnings (or em- ployment). If the regional relationships differ from the national relationships, the two sets of estimates will differ and the estimates based on the direct-effect multipliers are preferable. 13. In this instance, the user typically estimates earnings or employment impacts. However, by converting the initial changes in earnings or employment In some instances, such as estimating the impact of shutting down an industry in a region, the user must select the output-driven multiplier for impact estimation. 14 The output-driven multiplier measures the change in output in each row industry that results from a $1 change in total industry output in the column industry under study. Using the output-driven multiplier instead of the final-demand output multiplier ensures that the impact of the industry's shutdown on its own output will not exceed that output. into final-demand changes, the user can also estimate output impacts. For the conversion method, see the section "Initial Changes." 1 4. This multiplier, though not a part of RIMS II, can be derived from the final-demand output multiplier table. See appendix A. Information Required From Users of RIMS II To effectively use the RIMS II multipliers for impact anal- ysis, users must provide geographically and industrially detailed information on the initial changes in output, earn- ings, or employment that are associated with the project or program under study. To provide this information, the user must answer five questions about the project or program. • What is the affected region? • Which industries are initially affected? • Is there more than one phase of the project or program? • What are the initial changes in output, earnings, or employment? • Should the initial changes be separated into production costs, transportation costs, and trade margins? This section provides guidance to the RIMS II user in answering these questions. Affected Region The user must determine the region that is affected by the project or program under study. The choice of the region depends on the purpose of the study. For exam- ple, suppose the user wants to estimate the impact of an increase in final demand for the output of a motor vehicle and equipment factory in Jackson County, MO, a county in the Kansas City metropolitan area and economic area that is closely linked economically to the other counties in the economic area. Assume further that most of the factory's labor force live in the other counties and that most of the factory's nonlabor inputs are purchased from businesses in the other counties. If the study focuses on the impact in the vicinity of the factory, then the region of choice is the county. 15 Alternatively, the focus might be the factory's impact on the surrounding metropolitan area. Finally, if the study seeks a comprehensive estimate of the factory's impact, then the region of choice is the economic area 16 15. For one-county regions, impacts are sometimes underestimated because RIMS II multipliers do not reflect "feedback" effects, such as purchases made in the county by commuters from nearby counties. 16. For a multicounty region, impacts are sometimes overestimated because RIMS II multipliers reflect economic activity in industries that are unaffected For example, the final-demand output multipliers for the motor vehicles and equipment industry for the county, and thus the impacts, are relatively small, because most of the economic effects occur in the other counties (ta- ble B). 17 The multipliers, and the impacts, are larger for the metropolitan area and the economic area, because the larger regions contain a larger number of the businesses from which the factory purchases its inputs, a larger pro- portion of the factory 's labor force, and a larger proportion of the businesses that serve the labor force. Table B. — Final-Demand Output Multipliers for Selected Industries and Areas [Dollars] Industry Farm products and agricultural, forestry, and fishing services Construction Food and kindred products and tobacco products Lumber and wood products and furniture and fixtures Fabricated metal products Motor vehicles and equipment Transportation Retail trade Eating and drinking places Private households Jackson County, MO (D 1 .7944 1 .8723 1 .5222 1 .6863 1.7173 1.6967 1.8649 1 .8285 1 .7608 1.0997 Kansas City, MO-KS metropoli- tan area (2) 2.1363 2.2521 2.0154 1 .9772 2.0087 1.7921 2.1793 2.1561 2.0982 1 .3747 Kansas City, MO-KS economic area (3) 2.6533 2.3270 2.6498 2.0294 2.0989 1 .9636 2.2263 2.1917 2.2618 1 .4576 The use of a multicounty region can sometimes compli- cate the impact analysis because of offsetting effects. For example, suppose a new shopping mall in a county draws a large share of its shoppers from nearby counties, where they previously shopped. For the county with the mall, the impact on sales and sales tax revenues is substantial. However, for the multicounty region, the impact of the mall also reflects the offsetting declines in sales and sales tax revenues in the nearby counties, so the impact on sales and sales tax revenues is smaller than that for the county. by the project or program under study, but overestimation is likely to be less severe for economic areas than for States because of the strong economic links among counties in economic areas. 17. For the final-demand output multipliers for all industries for the county, for the metropolitan area, and for the economic area, see RIMS table 2.4 in appendix D. REGIONAL MULTIPLIERS Affected Industries Project Phases The user must determine which industries are initially affected by the project or program. The specification of these industries in the maximum possible detail will promote the accuracy of the impact analysis. If possible, the industries should be selected from the list of detailed industries for which RIMS II multipliers are available (appendix B). Otherwise, the industries must be selected from the list of aggregations of industries for which the multipliers are available (appendix C). For example, suppose that the user plans to analyze the impact of a new meat-packing plant in the Kansas City economic area. The impact should be calculated with the multiplier for the industry of meat-packing plants and sausages and other prepared meat products (the meat- packing industry), not with the multiplier for the industry of food and kindred products and tobacco products, which comprises the meat-packing industry and 44 other in- dustries. The final-demand output multiplier for the meat-packing industry is 4.1213, so that a $100,000 in- crease in final demand for meat packing is calculated to result in a total output increase of $412,130 in the eco- nomic area. However, if the multiplier of 2.6498 for the food and kindred products and tobacco products indus- try is used, the estimated increase in total output is only $264,980. In addition, if detailed data are available on the pur- chases of goods and services (including labor) made by the initially affected industry, these "bill-of-goods" data should be used in impact estimation. For example, for the impact estimate for the meat-packing plant, instead of using the increase in final demand for meat packing, the user could use the change in the meat-packing industry's purchases of goods and services — such as food products, chemicals, printing, and labor — that are needed to manu- facture the additional packaged meat. The impact would be calculated by multiplying the change in the purchases of each product by the appropriate final-demand output multiplier and then by adding the results to the initial change in the meat-packing industry. The impacts calculated from changes in the bill-of- goods will equal the impacts calculated from final- demand changes if the shares of an industry's bill-of- goods that are accounted for by each purchased good and service equal the inputs per dollar of output for the in- dustry in the RIMS II model. When the impact estimates differ, the bill-of-goods approach is likely to be more accurate because it reflects data for the project and the region under study. 18 The user must determine if the project or program has more than one phase. If so, the user should calculate the impact of each phase. For example, if a project has two phases — construction and operation — then the impact of the construction phase should be calculated separately from the impact of the operation phase. In addition, if the operation changes over time, the impact of each phase of the operation should be estimated. RIMS II, like all 1-0 models, is a "static equilibrium" model, so impacts calculated with RIMS II have no spe- cific time dimension. However, because the model is based on annual data, it is customary to assume that the impacts occur in 1 year. For many situations, this assumption is reasonable. However, for long-term projects, RIMS II should be carefully used because of the difficulty of accounting for the effects of changes in prices and wages. 19 For exam- ple, a factory is shut down, but a reduction in economic activity may not be the only result. The reduction in economic activity can lead to an increase in the supply of inputs — for example, an excess supply of labor — and a corresponding decline in input prices. The decline in input prices can encourage the use of these inputs in other activities, so economic activity picks up. The pickup in economic activity may partially offset the decline in eco- nomic activity initiated by the shutdown of the factory. If the user can determine which industries are likely to increase their output as a result of the decline in input prices, then RIMS II multipliers can be used to estimate the output impacts of the new activity. The net impact of the project can be estimated by adding the impact of the factory shutdown to the impact of the increases in output in other industries. Users should note that the impacts estimated with RIMS II multipliers provide information only about the project or program under study and not about the optimal use of resources, such as public funds or land. If the optimal use of resources is an issue, the user must estimate the impacts of all the feasible projects involving those resources and then compare the results. Initial Changes The user must determine the initial change in final de- mand, earnings, or employment due to the project. 20 18. In contrast, the final-demand approach reflects the national average interindustry relationships that are incorporated in RIMS II. See appendix A. 19. RIMS II, like all I-O models, does not automatically account for these effects. 20. The RIMS II multipliers are then used to estimate how these initial changes affect all industries in the regional economy. The total impact of the project on the regional economy is thus composed of the initial change in the REGIONAL MULTIPLIERS Depending on the availability of data, the user can esti- mate the initial change either as a change in final demand in the initially affected industry or as a change in earnings or employment in the initially affected industry. 21 Change in final demand If the user can estimate the change in final demand in the initially affected industry, the user can estimate the impact on output, earnings, or employment on the basis of final-demand multipliers. In some instances, estimating the final-demand change is easy. For example, suppose all of the output of a new manufacturing plant in a region is shipped out of the region and does not compete with the output of the existing plants. The final-demand change for the region's manufacturing industry is calculated as the difference between the sum of the final-demand output of the new plant and that of the existing plants and the final- demand output of the existing plants. Thus, the change in final demand is simply the output of the new plant. When the activity of a new project competes with the existing regional activity, estimating the change in final demand is more difficult, because it is necessary to esti- mate how much of the new project's output replaces the existing output. For example, suppose a shopping mall is constructed in a region that already has similar shops. If a portion of the sales at the new mall would have occurred at the existing shops in the absence of the new mall, then the final-demand change due to the mall is only the net increase in regional sales. If in the extreme case, all the sales at the new mall would have occurred at the existing shops, the final-demand change due to the mall is zero. Change in earnings and employment If the user can estimate the change in earnings or em- ployment in the initially affected industry, the user can estimate the impact on earnings or employment on the basis of direct-effect multipliers. These estimates, which reflect data for the affected region, are preferable to es- timates on the basis of final-demand multipliers, which reflect national average data. If only data on the initial change in earnings or employ- ment are available, the RIMS II user can still estimate the change in final demand and thus estimate the output im- pacts. First, the final-demand multiplier for earnings (or employment) is divided by the direct-effect multiplier for earnings (or employment) to yield the change in earnings (or employment) per dollar of final demand. Next, the initial change in earnings (or employment) is divided by the change in earnings (or employment) per dollar of final demand to yield the change in final demand. The change in final demand is then multiplied by the final-demand output multiplier to yield the impact on output. Separating the Initial Changes If the initial changes are expressed as final-demand changes — which are valued in purchasers ' , or final users ' , prices — then the user must separate the changes into com- ponents for production costs, transportation costs, and trade margins before doing an impact study. 22 The sep- aration of the changes is necessary because RIMS II follows the convention used in the national 1-0 accounts of valuing output at producers' prices, which exclude dis- tribution costs, such as transportation costs and wholesale and retail trade margins, but include excise taxes col- lected and paid by producers. Transportation costs and trade margins are shown as purchases by the users of commodities. For example, suppose that a consumer spends $100 to buy a car battery at an auto parts store. The price of the battery is the sum of (1) the producer's price that the manufacturer charges the wholesaler; (2) the whole- sale margin, which is the difference between the price the wholesaler charges the retailer and the cost to the wholesaler; (3) the retail margin, which is the differ- ence between the price the retailer charges the consumer and the cost to the retailer; and (4) the transportation costs, which consist of the costs of transporting the out- put from the manufacturer to the wholesaler and from the wholesaler to the retailer. Accordingly, the final-demand changes associated with the battery purchase are the final-demand changes for manufacturing, for wholesale trade, for retail trade, and for transportation. The impact of the purchase is then calculated by multiplying these final-demand changes by the respective final-demand multipliers. directly affected industry plus the sum of the changes in all industries in the region. 21 . To be consistent with BEA's national 1-0 table for 1987, which underlies the current RIMS II multipliers, initial changes that are specified in terms of dollars of final demand or of earnings should be deflated. 22. Data on transportation costs and trade margins from the national 1-0 accounts are provided to RIMS II users as part of the RIMS II product. Four Case Studies Using RIMS II Multipliers The case studies in this section illustrate four types of projects for which RIMS II users might estimate impacts. The first case study is a project that has both a construction and an operation phase. The second is a project with negative impacts on a region that are partly offset by new economic initiatives. The third is a project to relocate an industry, and the fourth is a project to develop a new industry in a region. Case Study 1: Constructing and Operating a Sports Facility This case study of the estimation of the impacts of a new sports facility on a regional economy is in two parts. The first part discusses impact estimation for the construction phase and focuses on three alternative estimation meth- ods. The second part discusses impact estimation for the operation phase. Sports facility construction Suppose developers plan to construct a sports facility in the Kansas City economic area. The plan requires an investment of $111.5 million and will create 1,601 new construction jobs with associated earnings of $34.3 million. Three methods can be used to estimate the impact of the construction. Using data on final-demand changes. — The investment in construction of the sports facility is a $1 1 1.5 million change in final demand for the construction, maintenance, and repair industry because construction is a final good. Table C shows the estimates of the impacts. The change in final demand (row 1) is multiplied by the respective final- demand multipliers for output, earnings, and employment (rows 2-4) to yield the impacts (rows 5-7). The impacts of the sports facility construction are $260.7 million in output, $80.1 million in earnings, and 3,848 jobs. Using data on initial changes in earnings and employ- ment. — The construction jobs and associated earnings required to build the sports facility are initial changes of $34.3 million in earnings and 1,601 jobs in the indus- try. Table C shows the estimates of the impacts. The initial changes (rows 8 and 9) are multiplied by the direct- effect multipliers for earnings and for employment for the construction industry (rows 10 and 11) to yield the impacts (rows 12 and 13). The impacts of sports facility construction are $80.1 million in earnings and 3,847 jobs. Whenever project-specific estimates of initial changes in earnings and jobs are available, this method should be used to calculate impacts. Although the earnings and employment impacts in rows 6 and 7 are virtually the same as those in rows 12 and 13, impacts based on direct- effect multipliers do not always equal impacts based on final-demand multipliers. 23 Table C— Estimation of the Impacts of Sports Facility Construction, Kansas City, MO-KS Economic Area Impact based on data on the change in final demand: Change in final demand (thousands of dollars) Final-demand multiplier: Output (dollars) Earnings (dollars) Employment (jobs) ' Impact on: Output (thousands of dollars) [row 1 x row 2] Earnings (thousands of dollars) [row 1 x row 3] Employment (jobs) [row 1 x row 4] Impact based on data on Initial changes In earnings and employment: Initial change: Earnings (thousands of dollars) Employment (jobs) Direct-effect multiplier: Earnings (dollars) Employment (jobs) Impact on: Earnings (thousands of dollars) [row 8 x row 10] Employment (jobs) [row 9 x row 11] 1 1 1 ,545 2.3369 .7185 34.5 260,670 80,145 3,848 34,345 1,601 2.3335 2.4031 80,144 3,847 1. The employment multiplier is measured on the basis of a $1 million change in output delivered to final demand. Using data on changes in the bill-of -goods. — The pur- chases of goods and services (including labor) by the construction industry that directly result from the $1 1 1.5 million investment in the construction of the sports facility constitute the changes in the bill-of-goods. These pur- chases are converted into regional purchases in producers' prices, and the regional purchases are then multiplied by final-demand multipliers for output, earnings, and employment to yield the impacts. 23. See footnote 12. 11 12 REGIONAL MULTIPLIERS Table D— Purchases Associated With the Sports Facility Construction, Kansas City, MO-KS Economic Area [Thousands of dollars] Industry Total purchases (purchasers' prices) Regional purchases (purchasers' prices) Regional purchases (producers' prices) 0) (2) (3) Manufacturing Paints and allied products 58,468 10,155 6,217 8,370 8,220 9,167 7,876 8,463 37,143 5,453 6,217 8,370 3,288 6,167 3,590 4,058 33,730 4,619 Miscellaneous plastics products Ready-mixed concrete 5,406 8,370 Nonferrous wiredrawing and insulating Fabricated structural metal 2,832 6,167 Pipe, valves, and pipe fittings Wiring devices 2,981 3,355 Transportation Costs: Paints and allied products 477 240 Miscellaneous plastics products Ready-mixed concrete Nonferrous wiredrawing and insulating Fabricated structural metal 94 55 Pipe, valves, and pipe fittings Wiring devices 53 35 Wholesale trade 2,936 Margins: Paints and allied products 594 Miscellaneous plastics products Ready-mixed concrete 717 Nonferrous wiredrawing and insulating Fabricated structural metal 401 Pipe, valves, and pipe fittings Wiring devices 556 668 Engineering, architectural, and surveying services 18,732 34,345 111,545 18,732 34,345 90,220 18,732 Earnings paid to households 34,345 Total 90,220 In table D, column 1 shows the total purchases in purchasers' prices, which include distribution costs, and column 2 shows which of these purchases occur in the economic area. 24 Column 3 then shows the purchases in producers' prices in the economic area. The regional purchases in producers' prices (column 3) reflect the separation of the purchases into production- cost and distribution-cost components. Table E shows this separation for the paints and allied products indus- try. Column 1 (from table D, column 2) shows that the construction industry spent $5,453 million to purchase paints and allied products in the economic area. The en- tries for wholesale trade and for transportation are not shown because these costs are included in the purchase price of paints and allied products. Column 2 shows the dollar composition of the purchases of paints and allied products, in producers' prices, from the national 1-0 ac- counts. Column 3 shows the percentage composition: For the Nation, 84.7 percent of the purchases of paints and 24. For earnings paid to regional households, it is assumed that the changes in earnings paid are reflected in the changes in consumption expenditures and that the consumption pattern of construction wage earners is similar to the consumption pattern for the general population in the RIMS II model. For instances in which earnings paid cannot be treated as earnings spent, see the operation phase of case study 1 and the base-closing phase of case study 2. allied products is for the output of paint manufacturers, 4.4 percent is for the transportation of the paint between the manufacturer and the wholesaler (the transportation cost), and 10.9 percent is for the services provided by the wholesaler (the wholesale margin). Each entry in column 3 is multiplied by $5,453 million (column 1) in order to separate the purchases of paints and allied products in the economic area into production-cost and distribution-cost components. 25 Column 4 shows the resulting regional purchases in producers' prices. Table E.— Purchases of Paints and Allied Products by Production Cost and Distribution Cost for the Kansas City, MO-KS Economic Area [Thousands of dollars] Regional purchases (purchasers' prices) U.S. purchases Regional purchases (producers' prices) ($5,453 x col. 3) Industry Producers' prices Percent of total d) (2) (3) (4) Manufacturing Transportation costs Wholesale trade margins Total 5,453 194,000 10,000 25,000 229,000 84.7 4.4 10.9 100.0 4,619 240 594 5,453 5,453 Table F shows the estimation of the impacts of sports fa- cility construction. The regional purchases in producers' prices (column 1 ) are multiplied by the final-demand mul- tipliers for output, earnings, and employment (columns 2-4) to yield the impacts (columns 5-7) of the changes in the bill-of-goods. The all-industry impacts of the changes in the bill-of-goods (the subtotals in columns 5-7) are then added to the initial changes in output, earnings, and employment to yield total impacts of the sports facility construction of $286.8 million in output, $87.8 million in earnings, and 4,027 jobs. Whenever estimates of purchases of goods and serv- ices that result from a project are available, this method (the bill-of-goods approach) should be used to calculate impacts. These impact estimates are likely to be more accurate than the estimates based on data for the con- struction industry as a whole (used in the first method) because the composition of purchases by the construction industry can differ substantially from project to project. Sports facility operation Suppose that the operation of the new sports facility ini- tially results in output, or annual revenues from ticket and concession sales, of $22.8 million and in 250 new jobs 25. It is assumed that the percentage distribution of these components is the same in the economic area as in the Nation. It is also assumed that all manufacturers, transporters, and wholesalers of paints and allied products are located in the economic area. REGIONAL MULTIPLIERS 13 Table F.— Estimation of the Impacts of Sports Facility Construction Based on Data on Changes In the Bill-of-Goods, Kansas City, MO-KS Economic Area Industry Regional purchases In produc- ers' prices (thousands of dollars) Final-demand multiplier Output (dollars) Earnings (dollars) Employ- ment' Gobs) Impact Output (thousands of dollars) (col. 1 x col. 2) Earnings (thousands of dollars) (col. 1 x col. 3) Employ- ment (Jobs) (col. 1 x col. 4) (D (2) (3) (4) (5) (6) (7) Paints and allied products Miscellaneous plastics products Ready-mixed concrete Nonferrous wiredrawing and insulating Fabricated structural metal Pipe, valves, and pipe fittings Wiring devices Transportation Wholesale trade Engineering, architectural, and surveying services Earnings paid to households Subtotal 4,619 5,406 8,370 2,832 6,167 2,981 3,355 477 2,936 18,732 34,345 90,220 1.7722 1.9872 2.1576 1.8598 2.2295 2.0844 2.0838 2.2263 2.0538 2.6124 1.4569 0.3907 .4842 .5266 .4000 .5818 .6050 .5857 .7393 .6704 1.0134 .4331 14.8 21.5 23.9 17.0 23.1 25.2 24.6 31.5 28.0 43.1 23.0 Plus: Initial change Equals: Total 8,186 10,743 18,059 5,267 13,749 6,214 6,991 1,062 6,030 48,935 50,037 175,273 1 1 1 ,545 286,818 1,805 2,618 4,408 1,133 3,588 1,804 1,965 353 1,968 18,983 14,875 53,500 34,345 87,845 68 116 200 48 142 75 83 15 82 807 790 2,426 1,601 4,027 i . The employment multiplier Is measured on the basis of a $1 million change In output delivered to final demand. with associated earnings of $ 1 5.0 million. The impacts of the operation are estimated on the basis of bill-of-goods purchases. 26 The bill-of-goods purchases are converted into regional purchases, in producers' prices, which are then multi- plied by the appropriate RIMS II multipliers to yield the impacts. In table G, column 1 shows the purchases in purchasers' prices, column 2 shows which of these pur- chases occur in the economic area, and column 3 shows the purchases in producers' prices. For example, suppose that all manufactured products are purchased from wholesalers, and suppose that the manufacturers from which the wholesalers purchase ice cream and frozen desserts and bread, cake, and related products are located outside the economic area. Then, for ice cream and frozen desserts and for bread, cake, and related products, the regional purchases in produc- ers' prices are calculated for wholesale trade but not for manufacturing and transportation (column 3). For the other manufactured products, the regional purchases in producers' prices reflect the separation of the purchases into production costs, transportation costs, and wholesale margins. For advertising, electric services, water supply and sewerage systems, insurance carriers, management and consulting services, and miscellaneous equipment rental and leasing, the regional purchases in purchasers' prices can be viewed as regional purchases in producers' prices because no margin adjustments are necessary. For the $15.0 million in earnings paid to workers in the sports facility, only those earnings that are spent in the economic area can be viewed as purchases in the eco- nomic area. The earnings spent by households are likely to be less than the earnings paid, because a substantial part of earnings goes to high-salaried professional ath- letes, who are likely to save a larger-than-average share Table G.— Purchases Associated With Sports Facility Operation, Kansas City, MO-KS Economic Area [Thousands of dollars] 26. These impact estimates are likely to be more accurate than those based on data for the commercial sports industry because the composition of purchases by each sports facility differs substantially. Industry Total purchases (purchasers' prices) Regional purchases (purchasers' prices) Regional purchases (producers' prices) (1) (2) (3) Manufacturing Ice cream and frozen desserts Bread, cake, and related products Malt beverages 2,200 265 235 650 500 550 1,681 80 101 450 500 550 1,136 291 Bottled and canned soft drinks Other food 370 475 Transportation Costs: Ice cream and frozen desserts .... 23 Bread, cake, and related products Malt beverages 10 Bottled and canned soft drinks .... 2 Other food 11 Wholesale trade 388 Margins: Ice cream and frozen desserts .... 9 Bread, cake, and related products Malt beverages Bottled and canned soft drinks .... 38 149 128 Other food 64 Electric services (utilities) Water supply and sewerage systems Insurance carriers 980 280 320 1,500 1,300 1,200 15,000 22,780 900 280 320 900 801 1,200 8,250 14,332 900 280 320 Management and consulting services, testing and research labs 900 Miscellaneous equipment rental and leasing 801 Advertising Earnings paid to households 1,200 8,250 Total 14,198 14 REGIONAL MULTIPLIERS Table H. — Estimation of the Impacts of Sports Facility Operation, Kansas City, MO-KS Economic Area Industry Regional purchases in produc- ers' prices (thousands of dollars) Final-demand multiplier Output (dollars) Earnings (dollars) Employ- ment' Gobs) Impact Output (thousands of dollars) (col. 1 x col. 2) Earnings (thousands of dollars) (col. 1 x col. 3) Employ- ment Gobs) (col. 1 x col. 4) (1) (2) (3) (4) (5) (6) (7) Ice cream and frozen desserts Bread, cake, and related products Malt beverages Bottled and canned soft drinks Other food Transportation Wholesale trade Electric services (utilities) Water supply and sewerage systems Insurance carriers Management and consulting services, testing and research labs Miscellaneous equipment rental and leasing Advertising Earnings paid to households Subtotal Plus. Initial change Equals: Total 291 370 475 23 388 900 280 320 900 801 1,200 8,250 14,198 2.0156 1.9296 1.8001 2.0317 2.0186 2.2263 2.0538 1 .6283 2.8611 2.6926 2.4989 2.1202 2.3785 1 .4569 0.4017 .4956 .3063 .3907 .4119 .7393 .6704 .3249 .7023 .8838 .9090 .6625 .9678 .4331 18.5 22.4 10.9 16.1 19.9 31.5 28.0 11.7 31.4 36.7 41.5 32.6 41.3 23.0 524 752 959 51 797 1,465 801 862 2,249 1,698 2,854 12,019 25,031 22,780 47,811 89 145 196 17 260 292 197 283 818 531 1,161 3,573 7,562 15,000 22,562 3 6 9 1 11 11 9 12 37 26 50 190 365 250 615 1. The employment multiplier is measured on the basis of a $1 million change in output delivered to final demand. of their earnings and who are likely to reside outside the economic area in the off-season. In this case study, it is assumed that only $8.25 million of the $15.0 million paid to households is spent in the economic area and therefore can be viewed as purchases in the economic area. Table H shows the estimation of the impacts from the sports facility operation. The regional purchases in producers' prices (column 1) are multiplied by the final- demand multipliers for output, earnings, and employment (columns 2-4) to yield the impacts (columns 5-7) of the changes in the bill-of-goods. The all-industry im- pacts of the changes in the bill-of-goods (the subtotals in columns 5-7) are then added to the initial changes in output, earnings, and employment to yield the impacts of the operation of the sports facility of $47.8 million in output, $22.6 million in earnings, and 615 jobs. Case Study 2: Closing and Converting a Military Base and Operating a Factory This case study of the estimation of the impacts of the closing of a military base and the operation of a new factory at the same site is in three parts. The first part discusses the impact estimation for the closing of the military base. The second part discusses the impact esti- mation for the factory operation. The third part discusses the estimation of the combined impact of the base closing and of the factory operation. Military base closing Suppose the Federal Government plans to close a mili- tary base in the Kansas City economic area. In order to calculate the impacts of the base closing, the estimates of the negative changes in final demand for regional goods and services are multiplied by the appropriate RIMS II multipliers. These changes consist of the decline in the purchases of goods and services that results from closing the military base and the decline in purchases by military personnel For both types of purchases, the user must determine which purchases occur in the economic area and then must show these purchases in producers' prices. 27 Table I shows the estimates of the regional purchases, in producers' prices, that result from the bill-of-goods purchases made by the military base with its $114.0 million annual operating budget. Column 1 shows the bill-of-goods purchases. Column 2 shows which of these purchases occur in the economic area. Column 3 then shows the regional purchases, in producers' prices, that result from the operation of the military base. For example, consider the electric and electronic equip- ment industry. Column 3 shows that regional purchases, in producers' prices, of electric and electronic equipment is zero, because none of this industry's output is produced in the economic area. However, the wholesale trade mar- gins and transportation costs that are associated with the purchase of electric and electronic equipment in the eco- 27. For a more extensive treatment of the conversion of purchases from purchasers' to producers' prices, see case study 1 . REGIONAL MULTIPLIERS 15 Table I. — Purchases Associated With Military Base Closing, Kansas City, MO-KS Economic Area [Thousands of dollars] Industry Total purchases (purchasers' prices) Regional purchases (purchasers' prices) Regional purchases (producers' prices) (D (2) (3) Construction Manufacturing Lumber and wood products and furniture and fixtures -6,450 -42,775 -1 ,000 -3,200 -26,725 -5,815 -6,035 -5,150 -35,985 -720 -1,100 -25,050 ^1,740 ^,375 -5,150 -26,944 -602 Fabricated metal products -1,100 Industrial machinery and equipment Electronic and other electric equipment Motor vehicles and equipment Transportation Costs: Lumber and wood products and furniture and fixtures -21,242 -4,000 -278 -1 Fabricated metal products Industrial machinery and equipment Electronic and other electric equipment -19 -111 Motor vehicles and equipment Wholesale trade -147 -4,763 Margins: Lumber and wood products and furniture and fixtures -117 Fabricated metal products Industrial machinery and equipment -3,789 Electronic and other electric equipment -629 Motor vehicles and equipment -228 Communications Electric, gas, and sanitary services .... Business services Miscellaneous services Earnings paid to military personnel Total -4,000 -19,750 -8,125 -2,900 -30,000 -114,000 -4,000 -19,750 -6,575 -2,540 -30,000 -104,000 -4,000 -19,750 -6,575 -2,540 -30,000 -100,000 nomic area are included in the regional purchases from the wholesale trade and transportation industries. Table J shows the estimates of regional purchases, in producers' prices, that result from the bill-of-goods pur- chases by military personnel. Compared with the general population, military personnel receive a larger share of total earnings from payments-in-kind for clothing and housing, so they allocate a smaller share of total purchases to these items. Accordingly, the use of the bill-of-goods data (column 1) as the basis for estimating regional pur- chases in producers' prices permits the RIMS II user to account for the difference between the earnings and ex- penditure patterns of military personnel and those of the general population. 28 Table K shows the estimation of the impacts of the mil- itary base closing. Column 1 shows the total regional purchases in producers' prices, which are the sum of the purchases for the operation of the military base (from ta- ble I, column 3) and the purchases by military personnel (from table J, column 3). The total regional purchases in producers' prices are multiplied by the respective multi- pliers (columns 2-4) to yield the impacts (columns 5-7) 28. The personal consumption expenditures data in RIMS II reflect the earnings and expenditure patterns of the general population. Table J.— Purchases By Military Personnel, Kansas City, MO-KS Economic Area [Thousands of dollars] Industry Total purchases (purchasers' prices) Regional purchases (purchasers' prices) Regional purchases (producers' prices) (D (2) (3) Manufacturing Food and kindred products and tobacco products Apparel and other textile products Chemicals and allied products and petroleum and coal products . Lumber and wood products and furniture and fixtures -6,900 -1,445 -1,213 -2,759 -1,483 -5,100 -945 -963 -2,259 -933 -2,800 -600 -500 -1,200 -500 Transportation Costs: Food and kindred products and tobacco products Apparel and other textile products -79 -26 -2 Chemicals and allied products and petroleum and coal products Lumber and wood products and furniture and fixtures -49 -2 Wholesale trade -447 Margins: Food and kindred products and tobacco products Apparel and other textile products Chemicals and allied products and petroleum and coal products Lumber and wood products and furniture and fixtures -98 -55 -276 -18 Retail trade -1 ,774 Margins: Food and kindred products and tobacco products -221 Apparel and other textile products Chemicals and allied products and petroleum and coal products Lumber and wood products and furniture and fixtures -406 -734 -413 Communications Electric, gas, and sanitary services .... Hotels and other lodging places, amusement and recreation services, and motion pictures Personal services Eating and drinking places -400 -500 -2,500 -2,100 -6,800 -1,800 -21,000 -400 -500 -1 ,800 -1 ,900 -4,800 -1 ,500 -16,000 -400 -500 -1 ,800 -1 ,900 -4,800 Miscellaneous services Total -1 ,500 -16,000 of the changes in the purchases. The all-industry impacts of the changes in the purchases (the subtotals in columns 5-7) are then added to the initial changes in output, earn- ings, and employment to yield the total impacts. The total impacts, or losses, of the military base closing are $176.9 million in output, $79.4 million in earnings, and 5,263 jobs. Factory operation Suppose local planners propose the conversion of the mil- itary base into a factory for manufacturing $50.0 million in output of farm machinery and equipment. Table L shows the estimation of the impacts of the operation of the factory. 29 If all the factory output is sold outside the 29. The impacts of the construction of the factory are not considered, because they are only short-term impacts. 16 REGIONAL MULTIPLIERS Table K.— Estimation of the Impacts of a Military Base Closing, Kansas City, MO-KS Economic Area Industry Regional purchases in produc- ers' prices (thousands of dollars) Final-demand multiplier Output (dollars) Earnings (dollars) Employ- ment' (jobs) Impact Output (thousands of dollars) (col. 1 x col. 2) Earnings (thousands of dollars) (col. 1 x col. 3) Employ- ment (jobs) (col. 1 x col. 4) (1) (2) (3) (4) (5) (6) (7) Construction Manufacturing Food and kindred products and tobacco products Apparel and other textile products Chemicals and allied products and petroleum and coal products Lumber and wood products and furniture and fixtures Fabricated metal products Industrial machinery and equipment Electronic and other electric equipment Motor vehicles and equipment Transportation Communications Electric, gas, and sanitary services Wholesale trade Retail trade Hotels and other lodging places, amusement and recreation services, and motion pictures Personal services Business services Eating and drinking places Miscellaneous services Subtotal Initial change Total -5,150 -29,744 -600 -500 -1 ,200 -1,102 -1,100 -21 ,242 -4,000 -357 -4,400 -20,250 -5,210 -1 ,774 -1 ,800 -1 ,900 -6,575 -4,800 -4,040 -86,000 2.3270 0.7122 34.4 -11,984 -3,668 2.6498 1.7359 1.8983 2.0294 2.0989 2.0785 1.9596 1.9636 2.2263 2.0209 1.7034 2.0623 2.1917 2.3923 2.4157 2.4058 2.2618 2.2759 .5265 .4302 .4244 .5705 .5762 .5955 .5183 .3907 .7393 .4866 .3414 .6737 .7888 .8017 .8541 .9273 .6659 .6561 27.4 25.0 15.8 28.0 23.4 24.6 22.4 14.8 31.5 17.6 12.9 28.1 50.2 50.4 60.5 45.6 53.2 38.1 -1,590 -868 -2,278 -2,236 -2,309 -44,151 -7,854 -795 -8,892 -34,494 -10,745 -3,888 -4,306 -4,590 -15,818 -10,857 -9,195 -176,850 -176,850 -316 -215 -509 -629 -634 -12,650 -1 ,563 -264 -2,141 -6,913 -3,510 -1,399 -1,443 -1,623 -6,097 -3,196 -2,651 -49,421 -30,000 -79,421 -177 -16 -13 -19 -31 -26 -523 -59 -11 -77 -261 -146 -89 -91 -115 -300 -255 -154 -2,363 -2,900 -5,263 1. The employment multiplier Is measured on the basis of a $1 million change In output delivered to final demand. Table L— Estimation of the Impacts of Operating a Fac- tory for Farm Machinery and Equipment in the Kansas City, MO-KS Economic Area Final-demand multiplier Impact Change in final de- mand (thousands ot dollars) Output (dollars) Earnings (dollars) Employ- ment' Gobs) Output (thou- sands of dollars) (col. 1 x col. 2) Earnings (thou- sands of dollars) (col. 1 x col. 3) Employ- ment (jobs) (col. 1 x col. 4) (D (2) (3) (4) (5) (6) (7) 50,000 2.0408 0.5465 24.3 102,040 27,325 1,215 Table M.— Estimation of the Impacts of the Conversion of a Military Base to a Factory in the Kansas City, MO-KS Economic Area Factory operation ..., Military base closing Net impact Output (thou- sands of dollars) (1) 102,040 -176,850 -74,810 Earnings (thou- sands of dollars) (2) 27,325 -79,421 -52,096 Employ- ment (jobs) (3) 1,215 -5,263 -4,048 1. The employment multiplier Is measured on the basis of a $1 million change In output delivered to final demand. economic area, the change in final demand is equal to the factory output (column l). 30 This final-demand change is multiplied by the respective multipliers (columns 2-4) to yield the impacts (columns 5-7). Impacts of the conversion Table M shows the estimation of the impacts of the con- version of a military base to a factory. It is assumed that 30. If some of the new factory's output competes with the output of other regional factories, the change in final demand would equal the new factory's output minus the displaced output of the other regional factories. the net impacts occur in 1 year; in practice, it is likely to take several years to shut down the base before conver- sion can begin. Net impacts are estimated by adding the estimates of the impacts of closing the military base (table K) to the estimates of the impacts of the operation of the farm machinery and equipment factory at the same site (table L). The factory operation replaces $102.0 million of the $176.9 million loss of output due to the base clos- ing, $27.3 million of the $79.4 million loss of earnings, and 1,215 of the 5,263 jobs lost. Therefore, the impact of the conversion is a $74.8 million loss of output, a $52.1 million loss of earnings, and 4,048 jobs lost. REGIONAL MULTIPLIERS 17 Case Study 3: Departure of an Industry from a Region This case study of the departure of the motor vehicles and passenger car bodies industry (the motor vehicle industry) shows how the RIMS II user can estimate the impacts of an industry's departure from a region. Suppose that the motor vehicle industry is departing from the Kansas City economic area where it produced $120.0 million in annual output and provided 333 full- and part-time jobs with associated earnings of $15.6 million. The impact of the departure on each regional industry (including the motor vehicle industry) must be estimated on the basis of output-driven multipliers, which measure the change in each industry that results from a $1 change in total output in the motor vehicle industry, because the impact on the motor vehicle industry cannot exceed its total output. Table N shows the calculation of the impacts. The change in the output of the motor vehicle industry equals the industry's total output of $120.0 million. In order to ensure that the impact of the industry's departure on motor vehicle output does not exceed $120.0 million, the final-demand output multiplier for the motor vehi- cle industry must be constrained to equal one. This constraint is applied by converting the final-demand multipliers (columns 1-3) to output-driven multipliers (columns 4-6): Each entry in columns 1-3 is divided by the final-demand output multiplier (1.1 330) for the motor vehicle industry. The resulting output-driven multipliers for each industry are then multiplied by the output-change of $120.0 million to yield the impacts (columns 7-9) on each industry of the motor vehicle industry's departure. This case study does not consider the potentially off- setting impacts of the re-employment of the labor and capital that were left idle as a result of the motor vehicle industry's departure from the area. For example, the un- employed motor vehicle workers might find jobs in other industries in the area, or the availability of the vacant mo- tor vehicle factory might induce a new industry to enter the area. If the user knows how the idle labor and capital are likely to be re-employed, RIMS II multipliers can be used to estimate these offsetting impacts. 31 Case Study 4: Arrival of an Industry in a Region This case study of the glass-containers manufacturing industry shows how the RIMS II user can estimate the impacts of a new industry's arrival in a region. Suppose that a manufacturer plans to locate the first glass-container factory in the Kansas City economic area, 3 1 . For an example of the estimation of offsetting impacts, see case study 2. Table N.— Estimation of the Impacts of the Departure of the Motor Vehicle Industry from the Kansas City, MO-KS Economic Area Industry Final-demand multiplier Output ' (dollars) Earnings (dollars) Employ- ment 1 Cobs) Output-driven multiplier Output ' (dollars) (col. 1 / 1.1330) Earnings (dollars) (col. 2 / 1.1330) Employ- ment 1 Gobs) (col. 3 / 1.1330) Impact Output (thou- sands of dollars) (col. 4 x$120 mil.) Earnings (thou- sands of dollars) (col. 5 x$120 mil.) Employ- ment Gobs) (col. 6 x$120 mil.) Food and kindred products and tobacco products Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products and petroleum and coal products Rubber and miscellaneous plastics products and leather and leather products Lumber and wood products and furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Industrial machinery and equipment Electronic and other electric equipment Motor vehicles and equipment Other transportation equipment Instruments and related products Miscellaneous manufacturing industries Private households All other industries Total 0.0206 .0005 .0134 .0074 .0241 .0269 .0481 .0045 .0054 .0181 .0255 .0195 .0126 1.1330 .0007 .0020 .0012 .3960 .6019 1.9654 0.0025 .0001 .0030 .0015 .0068 .0046 .0111 .0011 .0013 .0040 .0068 .0061 .0032 .1473 .0002 .0005 .0003 .0007 .1949 .3960 0.1007 .0050 .2058 .0513 .2661 .1219 .4529 .0467 .0510 .1257 .2464 .2155 .1403 3.1453 .0081 .0198 .0190 .0829 9.3700 14.6744 0.0182 .0004 .0118 .0065 .0213 .0237 .0425 .0040 .0048 .0160 .0225 .0172 .0111 1 .0000 .0006 .0018 .0011 .3495 .5312 1.7347 0.0022 .0001 .0026 .0013 .0060 .0041 .0098 .0010 .0011 .0035 .0060 .0054 .0028 .1300 .0002 .0004 .0003 .0006 .1720 .3495 0.0889 .0044 .1816 .0453 .2349 .1076 .3997 .0412 .0450 .1109 .2175 .1902 .1238 2.7761 .0071 .0175 .0168 .0732 8.2701 12.9518 -2,184 -48 -1,416 -780 -2,556 -2,844 -5,100 -480 -576 -1,920 -2,700 -2,064 -1,332 -120,000 -72 -216 -132 -63,744 -208,164 -264 -12 -312 -156 -720 -492 -1,176 -120 -132 ^20 -720 -648 -336 -15,600 -24 -48 -36 -72 -20,640 -41,928 -11 -1 -22 -5 -28 -13 -48 -5 -5 -13 -26 -23 -15 -333 -1 -2 -2 -9 -992 -1,554 1 . The column total is the sum of the entries in all rows except "Private households"; the entries for those rows include earnings paid to households. The "Private households" row ent^ is the sum of earnings paid to households by all Industries. 2. The employment multiplier is measured on the basis of a $1 million change in output delivered to final demand. 18 REGIONAL MULTIPLIERS Table O. — Estimation of the Impacts of the Arrival of a Glass-Containers Manufacturing Industry, Kansas City, MO-KS Economic Area Industry Regional purchases in producers' prices (thousands of dollars) Final-demand multiplier Output (dollars) Earnings (dollars) Employment ' (jobs) Impact Output (thousands of dollars) (col. 1 x col. 2) Earnings (thousands of dollars) (col. 1 x col. 3) Employment Gobs) (col. 1 x col. 4) (1) (2) (3) (4) (5) (6) (7) Sand and gravel Paperboard containers and boxes Industrial inorganic and organic chemicals Special dies and tools and machine tool accessories Railroads and related services Electric services (utilities) Gas production and distribution (utilities) Wholesale trade Advertising Earnings paid to households Subtotal Initial change Total 1,348 5,480 3,861 727 800 2,005 2,507 1,446 1,186 15,028 34,388 1.8058 1 .6738 1 .7851 2.0861 2.1208 1 .6283 1 .6774 2.0538 2.3785 1 .4569 0.5165 .4013 .3725 .7671 .6327 .3249 .2767 .6704 .9678 .4331 22.3 16.2 12.9 29.9 22.3 11.7 9.7 28.0 41.3 23.0 2,434 9,172 6,892 1,517 1,697 3,265 4,205 2,970 2,821 21,894 56,867 50,000 106,867 696 2,199 1,438 558 506 651 694 969 1,148 6,509 15,368 15,028 30,396 30 89 50 22 18 23 24 40 49 346 691 350 1,041 1. The employment multiplier is measured on the basis of a $1 million change in output delivered to final demand. where it will produce $50.0 million in annual output and provide 350 full- and part-time jobs with associated earnings of $15.0 million. The change in final demand for the output of the factory is $50.0 million, and the RIMS II user wants to esti- mate the impacts of the change in final demand on the economic area. 32 The impact estimation is complicated by the treatment of the industry in RIMS II; inasmuch as this industry does not yet exist in the economic area, the column entries in the final-demand multiplier table for the industries from which the glass-container indus- try purchases inputs are zero. Impact estimates based on these column entries would thus exclude the impacts of 32. The impacts of the construction of the new factory are not considered. For an illustration of the estimation of construction impacts on the basis of bill-of-goods data, see case study 1 . a change in final demand in the glass-container industry on other regional industries. To overcome this limitation, the user must estimate impacts on the basis of bill-of- goods data on the purchases of goods and services by the glass-container industry. Table O shows the calculation of the impacts. The re- gional purchases, in purchasers' prices (column 1), that result from the operation of the new factory are multiplied by the respective final-demand multipliers for output, earnings, and employment (columns 2-4) to yield the im- pacts of the changes in the purchases (columns 5-7). The all-industry impacts of the changes in the purchases (the subtotals in columns 5-7) are then added to the initial changes in output, earnings, and employment to yield to- tal impacts of the operation of the glass-container factory of $106.9 million in output, $30.4 million in earnings, and 1,041 jobs. Appendix A: Data Sources and Methods Appendix A: Data Sources and Methods Most regional economists agree that the most accurate method of estimating a regional input-output (I-O) model is to survey the businesses in a region in order to determine which goods and services are purchased by industries in the region and whether these goods and services are purchased from other industries in the region or from in- dustries in other regions. However, because these surveys are costly, few regional 1-0 models in the United States are based on survey, or primary source, data. As a result, the estimation of the regional input-output modeling system (RIMS II), like that of most regional 1-0 models, is based on data from the national 1-0 accounts and other secondary data. It is assumed that the national 1-0 data can be used to represent the composition of inputs purchased in the region. The national data are then adjusted by regional data, because the industries in a region cannot obtain all of their inputs from within the region. The RIMS II model and its multipliers are prepared in three major steps. 33 First, an adjusted national industry-by-industry direct requirements table is pre- pared. Second, the adjusted national table is used to prepare a regional industry-by-industry direct require- ments table. 34 Third, a regional industry-by-industry total requirements table is prepared, and the multipliers are derived from this table. only the use of domestically produced commodities: The data in a use table for imported commodities are subtracted from the data in the total commodity use table. After this adjustment, a national industry-by-industry direct requirements table is prepared by means of stan- dard 1-0 procedures. 36 An industry-share matrix, which shows each industry's share of the production of a com- modity, is calculated by dividing each entry in each column of the make table by the respective column total. Next, a commodity-by-industry direct requirements ma- trix, which shows the dollar's worth of each commodity that is required to produce a dollar's worth of each indus- try's output, is calculated by dividing each entry in each column of the use table by the respective column total. A national industry-by-industry direct requirements table is then estimated by multiplying the industry-share ma- trix by the commodity-by-industry direct requirements matrix. Unlike the national 1-0 accounts, RIMS II includes households as both suppliers of labor inputs to regional industries and as purchasers of regional output, because it is customary in regional impact analysis to account for the effects of changes in household earnings and ex- penditures. Thus, both a household row and a household column are added to the national direct requirements table before the table is regionalized. 37 The Adjusted National Direct Requirements Table The adjusted national industry-by-industry direct require- ments table is derived from the make and use tables in BEA's 1987 benchmark 1-0 accounts for the U.S. economy. 35 The use table is adjusted so that it includes 33. This discussion is mainly for users who are familiar with 1-0 theory and linear algebra. For a more detailed discussion of 1-0 theory and the use of regional 1-0 models in impact analysis, see "Suggested Reading" at the end of this appendix. 34. In RIMS II, a region consists of the county or counties that are specified by the user. 35. The make table shows the dollar value, in producers' prices, of each commodity produced by each industry. The use table shows the dollar value, The household row Each entry in the household row shows the earnings re- ceived by households per dollar of output of the column in producers' prices, of each commodity used by each industry and by each final user. See Benchmark Input-Output Accounts for the U.S. Economy, 1987, Survey of Current Business 74 (April 1994): 73-115; and U.S. Depart- ment of Commerce, Bureau of Economic Analysis, Benchmark Input-Output Accounts of the United States, 1987 (Washington, DC: U.S. Government Printing Office, 1994). 36. See Ronald E. Miller and Peter D. Blair, Input-Output Analysis: Foundations and Extensions (Englewood Cliffs, NJ: Prentice-Hall, 1985), 149-199. 37. 1-0 theory requires that the sum of the entries in each column of the direct requirements table be less than, or equal to, one. Because this condition is not met for all industries after the household row is added, nine industries must be combined with similar industries. 21 22 REGIONAL MULTIPLIERS industry corresponding to the entry. In impact analysis with RIMS II, earnings is defined as the earnings that are received by households from the production of regional goods and services and that are available for spending on these goods and services. Thus, earnings is calculated as the sum of wages and salaries, proprietors' income, directors' fees, and employer contributions for health in- surance less personal contributions for social insurance. 38 In equation form, the household row is HSHRj = ( W&Sj + PRPj + DFj + ECHIj - PCSIj)/TIOj, where the subscript j is industry j (column j in the di- rect requirements table), HSHR is the household row, W&S is wages and salaries, PRP is proprietors' income, DF is directors' fees, EC HI is employer contributions for health insurance, PCSI is personal contributions for social insurance, and TIO is total industry output. The estimates of wages and salaries by 1-0 industry are from the national I-O accounts. The other earnings components are not available by 1-0 industry and must be estimated. The estimates of nonfarm proprietors' income by 1-0 industry are made by multiplying nonfarm proprietors' income at the two-digit Standard Industrial Classifica- tion (SIC) level by each 1-0 industry's share of wages and salaries in the corresponding two-digit SIC indus- try. The data source for nonfarm proprietors' income and for wages and salaries at the two-digit SIC level is BEA's Regional Economic Information System (REIS). The estimates of farm proprietors' income for 17 1-0 agricultural industries are calculated by multiplying total farm proprietors' income by the shares of total farm cash receipts accounted for by each of the agricultural indus- tries. The data source for farm proprietors' income and cash receipts is REIS. 39 The estimates of directors' fees by 1-0 industry are cal- culated by multiplying directors' fees at the two-digit SIC level by each 1-0 industry's share of wages and salaries in the corresponding two-digit SIC industry. The data source for directors' fees is REIS. The estimates of employer contributions for health in- surance by 1-0 industry are prepared in two steps. First, 38. Earnings includes employer contributions for health insurance, because personal consumption expenditures data in the national I-O accounts include expenditures on health care. Earnings excludes personal contributions for social insurance, because these contributions are usually deducted from an employee's wages and salaries and therefore are unavailable for spending on regional goods and services. 39. For agriculture, the estimates of proprietors' income by I-O industry are not based on wages and salaries, because the share of total employment ac- counted for by wage-and-salary workers in agriculture is substantially smaller than that in other industries. employer contributions to private pension funds and pri- vate welfare funds at the two-digit SIC level are multiplied by the all-industry ratio of employer contributions for health insurance to employer contributions to private pen- sion funds and private welfare funds to yield estimates of employer contributions for health insurance at the two- digit SIC level. These estimates are then multiplied by each I-O industry's share of wages and salaries in the corresponding two-digit SIC industry. The source for the all-industry data is the national income and product accounts, and the source for the two-digit SIC data is REIS. The estimates of personal contributions for social in- surance by I-O industry are calculated by multiplying personal contributions for social insurance for all indus- tries by each I-O industry's share of wages and salaries for all industries. The data source for personal contributions for social insurance is REIS. The household column Each entry in the household column shows the expend- itures per dollar of household earnings on the product of the row industry corresponding to the entry. The es- timation of the household column is based on personal consumption expenditures (PCE) data from the national I-O accounts. PCE data in the imported-commodity use table are subtracted from PCE data in the overall use ta- ble to yield a column that shows PCE for domestically produced commodities. After each column entry is ex- pressed as a share of total PCE, the column is multiplied by the industry-share matrix (discussed earlier) to yield the PCE shares by I-O industry. 40 The PCE shares by industry are then multiplied by the ratio of personal in- come less taxes and savings to personal income in order to account for the dampening effect of taxes and savings on expenditures. The Regional Direct Requirements Table The regional industry-by-industry direct requirements table is derived from the adjusted national industry-by- industry direct requirements table. Location quotients (LQ's) are used to "regionalize" the national data. 41 The 40. The last entry of the column is purchases of domestic services by households, which equals earnings received by domestic service workers. 41. For most industries in RIMS II, LQ's are based on 1992 wages and salaries by industry at the four-digit SIC level. The LQ for wages and salaries is the ratio of the industry 's share of regional wages and salaries to that industry 's share of national wages and salaries. For some industries, the LQ's are adjusted, because wages and salaries in these industries, in comparison with proprietors' income, accounts for a relatively small share of total earnings. REGIONAL MULTIPLIERS 23 LQ is used as a measure of the extent to which regional supply of an industry's output is sufficient to meet re- gional demand. If the LQ for a row industry in the regional direct requirements table is greater than, or equal to, one, it is assumed that the region's demand for the output of the row industry is met entirely from regional production. In this instance, all row entries for the indus- try in the regional direct requirements table are set equal to the corresponding entries in the adjusted national direct requirements table. Conversely, if the LQ is less than one, it is assumed that regional supply of the industry's output is not sufficient to meet regional demand. In this instance, all row entries for the industry in the regional direct requirements table are set equal to the product of the corresponding entries in the adjusted national direct requirements table and the LQ for the industry. The household row and the household column that were added to the national direct requirements table are also adjusted regionally. The household-row entries are ad- justed downward, on the basis of commuting data from the Census of Population, in order to account for the pur- chases made outside the region by commuters working in the region. The household-column entries are adjusted downward, on the basis of tax data from the Internal Rev- enue Service, in order to account for the dampening effect of State and local taxes on household expenditures. The Regional Total Requirements Table and the Multipliers A regional industry-by-industry total requirements table is prepared by calculating the Leontief inverse from the regional direct requirements table. 42 The regional total re- quirements table shows the regional final-demand output multipliers. In 1-0 terminology, the multipliers account for the sum of the direct, indirect, and induced effects of a change in final demand. The final-demand, direct- effect, and output-driven multipliers can be derived from the total requirements table. 43 Final-demand earnings and employment multipliers Final-demand earnings multipliers are derived by mul- tiplying each final-demand output multiplier in the total requirements table by the household-row entry in the direct requirements table that corresponds to the row industry for the output multiplier. This calculation is expressed as CiJ = Di,j X #47i,i> where Cij is the entry in row i and column j of the final- demand earnings multiplier table, btj is the final-demand output multiplier in the total requirements table, and a m t is the household-row entry in the direct requirements table. 44 Final-demand employment multipliers are derived by multiplying each entry in the final-demand earnings mul- tiplier table by the employment-to-earnings ratio for each row industry. 45 This calculation is expressed as e iJ = c i,j x Gii where etj is the entry in row i and column j of the final- demand employment multiplier table, Cij is the final- demand earnings multiplier, and Gt is the employment- to-earnings ratio for row industry i. Direct-effect earnings and employment multipliers Direct-effect earnings multipliers are derived by dividing each household-row entry in the total requirements table by the corresponding household-row entry in the direct requirements table. This calculation is expressed as Dj = b 47l j/a 47l j, where Dj is the direct-effect earnings multiplier for in- dustry j, £? 471 is the household-row entry for industry j in the total requirements table, and a 471 is the household- row entry for industry j in the direct requirements table. Direct-effect employment multipliers are derived by di- viding the final-demand employment multiplier for each industry by the product of the corresponding household- row entry in the direct requirements table and the employment-to-eamings ratio for each column industry. This calculation is expressed as H j =F j /(a mJ xGj), 42. The Leontief inverse is denned as (I-A)~ l , where / is an identity matrix, A is the regional industry-by-industry direct requirements matrix, and —1 indicates a matrix inversion. 43. For the discussion of the use of these multipliers in regional impact analysis, see the section "RIMS II Multipliers for Output, Earnings, and Employment." 44. The sum of all the entries in column j of the final-demand earnings multiplier table is equal to the household-row entry in column j of the total requirements table. The last row of the final-demand earnings multiplier table represents earnings received by households that have domestic service jobs. 45 . Employment is measured on a job-count basis for both wage-and-salary workers and proprietors. Estimates of employment by 1-0 industry are made by allocating REIS employment data by two-digit SIC industry in proportion to Bureau of Labor Statistics wage-and-salary employment data by I-O industry. 24 REGIONAL MULTIPLIERS where Hj is the direct-effect employment multiplier for industry j, Fj is the final-demand employment multi- plier for industry j, a 471 j is the household-row entry for industry j in the direct requirements table, and Gj is the employment-to-earnings ratio for industry j. 46 Output-driven multipliers Output-driven multipliers can be calculated from the total requirements table. The table entry for which the row entry i equals the column entry j is called the "diagonal" entry for column j. The output-driven multiplier for industry j is defined as the ratio of each entry in column j to the diagonal entry for that column. This ratio is expressed as Oi,j = b Uj /bjj, 46. The final-demand employment multiplier for industry /' is the sum of all the entries except the household-row entry in column j of the final-demand employment multiplier table. where Oij is the output-driven multiplier i for industry j, btj is the final-demand output multiplier i for industry j in the total requirements table, and bjj is the diagonal entry for industry j in the total requirements table. Suggested Reading Hewings, Geoffrey J.D. Regional Input-Output Analysis. Scientific Geography Series vol. 6. Beverly Hills, CA: Sage Publications, 1985. Miernyck, William H. The Elements of Input-Output Analysis. New York, NY: Random House, 1965. Miller, Ronald E., and Peter D. Blair. Input-Output Analysis: Foundations and Extensions. Englewood Cliffs, NJ: Prentice-Hall, 1985. Otto, Daniel M., and Thomas G. Johnson. Microcomputer-Based Input-Output Modeling. Boulder, CO: Westview Press, 1993. Richardson, Harry W. Input-Output and Regional Economics. New York, NY: Halsted Press, 1972. Appendix B: Detailed Industries for Which Multipliers Are Available REGIONAL MULTIPLIERS 27 Appendix B.— Detailed Industries for Which Multipliers Are Available [The detailed industries are based on the 1987 benchmark input-output (l-O) accounts. The titles in boldface represent the groupings of industries used for the summary version of the 1987 tables. An asterisk preceding a Standard Industrial Classification (SIC) code indicates that the SIC industry is included in more than one l-O industry.] I-O industry number and title Related 1987 SIC codes Related 1987 SIC codes 5+6 AGRICULTURE, FORESTRY, AND FISHERIES Livestock and livestock products: 1.0100 Dairy farm products 1.0200 Poultry and eggs 1.0301 Meat animals 1.0302 Miscellaneous livestock Other agricultural products: 2.0100 Cotton 2.0201 Food grains 2.0202 Feed grains 2.0203 Grass seeds 2.0300 Tobacco 2.0401 Fruits 2.0402 Tree nuts 2.0501 Vegetables 2.0502 Sugar crops 2.0503 Miscellaneous crops 2.0600 Oil bearing crops 2.0701 Forest products 2.0702 Greenhouse and nursery products Forestry and fishery products: 3.0001 Forestry products 3.0002 Commercial fishing 9+10 Agricultural, forestry, and fishery services: 4.0001 Agricultural, forestry, and fishery services 4.0002 Landscape and horticultural services . MINING Metallic ores mining: 5.0000 Iron and ferroalloy ores 6.0100 Copper ore 6.0200 Nonferrous metal ores, except copper Coal mining: 7.0000 Coa" Crude petroleum and natural gas: 8.0000 Crude petroleum and natural gas Nonmetalllc minerals mining: 9.0001 Dimension, crushed and broken stone 9.0002 Sand and gravel 9.0003 Clay, ceramic, and refractory minerals 9.0004 Nonmetallic mineral services and mis- cellaneous minerals. 10.0000 Chemical and fertilizer minerals 024,*019, *0259, *029 0251-3, *0259, *019, *0219, *029 0211-4, *0219, *019, *0259, *029 0271-3, *0279, *019, "0219, *0259, "029 0131, "019, "0219, "0259, "029 *011, -019, *0219, *0259, *029 "011, *0139, "019, '0219, *0259, *029 "0139, *019, *0219, -0259, *029 0132,*019, -0219,-0259, *029 0171-2,0174-5, *0179,*019, -0219, -0259, °029 0173,*0179, *019,*0219, -0259, *029 0134,-0139, 016, *019, *0219,*0259, *029,*0119 0133, *019, -0219,-0259, *029 *0119,-0139, *019,*0219, -0259, -029 0116,*0119, *0139, '0219, -0259, *029 *018, *019, *0219, -0259, '029 *018, '019, •0219, *0259, '029 081,083,097 091 0254, *0279, 071-2, 075-6, 085, 092 078 101, 106 102 103-4, 109, *108 122-3, *124 131-2, *138 141-2 144 145 '148, 149 147 CONSTRUCTION 11+12 Construction: 11.0000 New and maintenance and repair 11.0601 Petroleum and natural gas well drilling .... 1 1 .0602 Petroleum, natural gas, and solid mineral exploration. 1 1 .0603 Access structures for solid mineral devel- opment. 12.0215 Maintenance and repair of petroleum and natural gas wells. MANUFACTURING 13 Ordnance and accessories: 13.0100 Guided missiles and space vehicles 13.0200 Ammunition, except for small arms, n.e.c. 13.0300 Tanks and tank components 13.0500 Small arms 13.0600 Small arms ammunition 13.0700 Ordnance and accessories, n.e.c 14 Food and kindred products: 14.0103 Meat packing plants and sausages and other prepared meat products. 14.0105 Poultry slaughtering and processing 14.0250 Creamery butter and natural, processed, and imitation cheese. 14.0400 Dry, condensed, and evaporated dairy products. 14.0500 Ice cream and frozen desserts 14.0600 Fluid milk 14.0700 Canned and cured fish and seafoods 14.0800 Canned specialties 1 4.0900 Canned fruits, vegetables, preserves, jams, and jellies. 14.1000 Dehydrated fruits, vegetables, and soups 14.1100 Pickles, sauces, and salad dressings 14.1200 Prepared fresh or frozen fish and sea- foods. 14.1301 Frozen fruits, fruit juices, and vegetables 14.1302 Frozen specialties, n.e.c 14.1401 Flour and other grain mill products 14.1402 Cereal breakfast foods 14.1403 Prepared flour mixes and doughs 14.1501 Dog and cat food 14.1502 Prepared feeds, n.e.c 14.1600 Rice milling 14.1700 Wet corn milling 14.1801 Bread, cake, and related products 14.1802 Cookies and crackers 14.1803 Frozen bakery products, except bread .... 14.1900 Sugar 14.2001 Candy and other confectionery products . 14.2002 Chocolate and cocoa products 14.2003 Chewing gum 14.2004 Salted and roasted nuts and seeds 14.2101 Malt beverages 14.2102 Malt 14.2103 Wines, brandy, and brandy spirits 14.2104 Distilled and blended liquors 14.2200 Bottled and canned soft drinks 14.2300 Flavoring extracts and flavoring syrups, n.e.c. 14.2400 Cottonseed oil mills 14.2500 Soybean oil mills 14.2600 Vegetable oil mills, n.e.c 14.2700 Animal and marine fats and oils 14.2800 Roasted coffee 14.2900 Edible fats and oils, n.e.c 14.3000 Manufactured ice 14.3100 Macaroni, spaghetti, vermicelli, and noo- dles. 14.3201 Potato chips and similar snacks 14.3202 Food preparations, n.e.c 15 Tobacco products: 15.0101 Cigarettes 15.0102 Cigars 15.0103 Chewing and smoking tobacco and snuff 15.0200 Tobacco stemming and redrying 16 Broad and narrow fabrics, yarn and thread mills: 16.0100 Broadwoven fabric mills and fabric finish- ing plants. 16.0200 Narrow fabric mills 16.0300 Yarn mills and finishing of textiles, n.e.c. 15-17,6552 -138 -138,-108, *124, *148 *108,*124, *148 *138 3761 3483 3795 3484 3482 3489 2011,2013 2015 2021,2022 2023 2024 2026 2091 2032 2033 2034 2035 2092 2037 2038 2041 2043 2045 2047 2048 2044 2046 2051, *546 2052 2053 2061-3 2064 2066 2067 2068 2082 2083 2084 2085 2086 2087 2074 2075 2076 2077 2095 2079 2097 2098 2096 2099 211 212 213 214 221-3,2261-2 224 2269, 2281-2 28 REGIONAL MULTIPLIERS Appendix B. — Detailed Industries for Which Multipliers Are Available — Continued 1-0 industry number and title Related 1987 SIC codes l-O industry number and title Related 1987 SIC codes 17 18 19 20+21 22+23 24 25 26A 26B 16.0400 Thread mills Miscellaneous textile goods and floor cover- ings: 17.0100 Carpets and rugs 17.0600 Coated fabrics, not rubberized 17.0700 Tire cord and fabrics 17.0900 Cordage and twine 17.1001 Nonwoven fabrics 17.1100 Textile goods, n.e.c Apparel: 18.0101 Women's hosiery, except socks 18.0102 Hosiery, n.e.c 18.0201 Knit outerwear mills 18.0202 Knit underwear and nightwear mills 18.0203 Knitting mills, n.e.c 18.0300 Knit fabric mills 18.0400 Apparel made from purchased materials ... Miscellaneous fabricated textile products: 19.0100 Curtains and draperies 19.0200 Housefurnishings, n.e.c 19.0301 Textile bags 19.0302 Canvas and related products 19.0303 Pleating and stitching 19.0304 Automotive and apparel trimmings 19.0305 Schiffli machine embroideries 19.0306 Fabricated textile products, n.e.c Lumber and wood products: 20.0100 Logging 20.0200 Sawmills and planing mills, general 20.0300 Hardwood dimension and flooring mills 20.0400 Special product sawmills, n.e.c 20.0501 Millwork 20.0502 Wood kitchen cabinets 20.0600 Veneer and plywood 20.0701 Structural wood members, n.e.c 20.0702 Prefabricated wood buildings and compo- nents. 20.0703 Mobile homes 20.0800 Wood preserving 20.0901 Wood pallets and skids 20.0903 Wood products, n.e.c 20.0904 Reconstituted wood products 21.0000 Wood containers, n.e.c Furniture and fixtures: 22.0101 Wood household furniture, except uphol- stered. 22.0102 Household furniture, n.e.c 22.0103 Wood television and radio cabinets 22.0200 Upholstered household furniture 22.0300 Metal household furniture 22.0400 Mattresses and bedsprings 23.0100 Wood office furniture 23.0200 Office furniture, except wood 23.0300 Public building and related furniture 23.0400 Wood partitions and fixtures 23.0500 Partitions and fixtures, except wood 23.0600 Drapery hardware and window blinds and shades. 23.0700 Furniture and fixtures, n.e.c Paper and allied products, except containers: 24.0100 Pulp mills 24.0400 Envelopes 24.0500 Sanitary paper products 24.0701 Paper coating and glazing 24.0702 Bags, except textile 24.0703 Die-cut paper and paperboard and card- board. 24.0705 Stationery, tablets, and related products ... 24.0706 Converted paper products, n.e.c 24.0800 Paper and paperboard mills Paperboard containers and boxes: 25.0000 Paperboard containers and boxes Newspapers and periodicals: 26.01 00 Newspapers 26.0200 Periodicals Other printing and publishing: 26.0301 Book publishing 26.0302 Book printing 26.0400 Miscellaneous publishing 26.0501 Commercial printing 26.0601 Manifold business forms 26.0602 Blankbooks, looseleaf binders and devices 2284 227 2295 2296 2298 2297 2299 2251 2252 2253 2254 2259 2257-8 231-8, *3999 2391 2392 2393 2394 2395 2396 2397 2399 241 2421 2426 2429 2431 2434 2435-6 2439 2452 2451 2491 2448 2499 2493 2441,2449 2511 2519 2517 2512 2514 2515 2521 2522 253 2541 2542 2591 2599 261 2677 2676 2671-2 2673-4 2675 2678 2679 262-3 265 271 272 2731 2732 274 275 276 2782 27A 27B 28 29A 29B 30 31 32 33+34 35 36 26.0700 Greeting cards 26.0802 Bookbinding and related work 26.0803 Typesetting 26.0806 Platemaking and related services Industrial and other chemicals: 27.0100 Industrial inorganic and organic chemicals 27.0401 Gum and wood chemicals 27.0402 Adhesives and sealants 27.0403 Explosives 27.0404 Printing ink 27.0405 Carbon black 27.0406 Chemicals and chemical preparations, n.e.c. Agricultural fertilizers and chemicals: 27.0201 Nitrogenous and phosphatic fertilizers 27.0202 Fertilizers, mixing only 27.0300 Pesticides and agricultural chemicals, n.e.c. Plastics and synthetic materials: 28.0100 Plastics materials and resins 28.0200 Synthetic rubber 28.0300 Cellulosic manmade fibers 28.0400 Manmade organic fibers, except cellulosic Drugs: 29.0100 Drugs Cleaning and toilet preparations: 29.0201 Soap and other detergents 29.0202 Polishes and sanitation goods 29.0203 Surface active agents 29.0300 Toilet preparations Paints and allied products: 30.0000 Paints and allied products Petroleum refining and related products: 31.0101 Petroleum refining 31.0102 Lubricating oils and greases 31.0103 Products of petroleum and coal, n.e.c 31.0200 Asphalt paving mixtures and blocks 31.0300 Asphalt felts and coatings Rubber and miscellaneous plastics products: 32.0100 Tires and inner tubes 32.0200 Rubber and plastics footwear 32.0300 Fabricated rubber products, n.e.c 32.0400 Miscellaneous plastics products, n.e.c 32.0500 Rubber and plastics hose and belting 32.0600 Gaskets, packing, and sealing devices Footwear, leather, and leather products: 33.0001 Leather tanning and finishing 34.0100 Boot and shoe cut stock and findings 34.0201 Shoes, except rubber 34.0202 House slippers 34.0301 Leather gloves and mittens 34.0302 Luggage 34.0303 Women's handbags and purses 34.0304 Personal leather goods, n.e.c 34.0305 Leather goods, n.e.c Glass and glass products: 35.0100 Glass and glass products, except contain- ers 35.0200 Glass containers Stone and clay products: 36.0100 Cement, hydraulic 36.0200 Brick and structural clay tile 36.0300 Ceramic wall and floor tile 36.0400 Clay refractories 36.0500 Structural clay products, n.e.c 36.0600 Vitreous china plumbing fixtures 36.0701 Vitreous china table and kitchenware 36.0702 Fine earthenware table and kitchenware .. 36.0800 Porcelain electrical supplies 36.0900 Pottery products, n.e.c 36.1000 Concrete block and brick 36.1 100 Concrete products, except block and brick 36.1200 Ready-mixed concrete 36.1300 Lime 36.1400 Gypsum products 36.1500 Cut stone and stone products 36.1600 Abrasive products 36.1700 Asbestos products 277 2789 2791 2796 281 (excl. *2819), 2865, 2869 2861 2891 2892 2893 2895 2899 2873-4 2875 2879 2821 2822 2823 2824 283 2841 2842 2843 2844 285 291 2992 2999 2951 2952 301 302 306 308 3052 3053 311 313 3143-4,3149 3142 315 316 3171 3172 319 321,3229,323 3221 324 3251 3253 3255 3259 3261 3262 3263 3264 3269 3271 3272 3273 3274 3275 328 3291 3292 REGIONAL MULTIPLIERS 29 Appendix B.— Detailed Industries for Which Multipliers Are Available — Continued l-O industry number and title Related 1987 SIC codes l-O industry number and title Related 1987 SIC codes 36.1900 Minerals, ground or treated 3295 3296 3297 3299 3312 3313 3315 3316 3317 332 3462 3398 3399 3331 3334, *2819 3339 334 3351 3353-5 3356 3357 3363, 3365 3366 3364, 3369 3463 3411 3412 3431 3432 3433 3441 3442 3443 3444 3446 3448 3449 3451-2 3465 3466 3469 3421 3423 3425 3429 3471 3479 3495-6 3493 3491-2, 3494, 3498 3497 3499 3511 3519 3523 3524 3531 3532 3533 3534 3535 3536 3537 47 Metalworklng machinery and equipment: 47.0100 Machine tools, metal cutting types 36.2000 Mineral wool 3541 36.2100 Nonclay refractories 47.0200 Machine tools, metal forming types 47.0300 Special dies and tools and machine tool accessories. 47.0401 Power-driven handtools 3542 36.2200 Nonmetallic mineral products, n.e.c 37 Primary iron and steel manufacturing: 37.0101 Blast furnaces and steel mills 3544-5 3546 47.0402 Rolling mill machinery and equipment 47.0404 Electric and gas welding and soldering equipment. 47.0405 Industrial patterns 47.0500 Metalworking machinery, n.e.c 48 Special Industry machinery and equipment: 48.0100 Food products machinery 48.0200 Textile machinery 48.0300 Woodworking machinery 3547 37.0102 Electrometallurgical products, except steel 37.0103 Steel wiredrawing and steel nails and sdiKqs 37.0104 Cold-rolled steel sheet, strip, and bars 37.0105 Steel pipe and tubes 3548 3543 3549 37.0200 Iron and steel foundries 37.0300 Iron and steel forgings 3556 37.0401 Metal heat treating 3552 37.0402 Primary metal products, n.e.c 38 Primary nonferrous metals manufacturing: 38.0100 Primary smelting and refining of copper .... 38.0400 Primary aluminum 3553 48.0400 Paper industries machinery 48.0500 Printing trades machinery and equipment 48.0600 Special industry machinery, n.e.c 49 General industrial machinery and equipment: 49.0100 Pumps and compressors 49.0200 Ball and roller bearings 3554 3555 3559 38.0501 Primary nonferrous metals, n.e.c 38.0600 Secondary nonferrous metals 38.0700 Rolling, drawing, and extruding of copper 38.0800 Aluminum rolling and drawing 3561 , 3563 3562 49.0300 Blowers and fans 49.0500 Mechanical power transmission equipment 49.0600 Industrial process furnaces and ovens 49.0700 General industrial machinery and equip- ment, n.e.c. 49.0800 Packaging machinery 50 Miscellaneous machinery, except electrical: 50.0100 Carburetors, pistons, rings, and valves 50.0200 Fluid power equipment 3564 38.0900 Nonferrous rolling and drawing, n.e.c 38.1000 Nonferrous wiredrawing and insulating 38.1100 Aluminum castings 3566, 3568 3567 3569 38.1200 Copper foundries 38.1300 Nonferrous castings, n.e.c 38.1400 Nonferrous forgings 39 Metal containers: 39.0100 Metal cans 3565 3592 3593-4 39.0200 Metal shipping barrels, drums, kegs, and pails. 40 Heating, plumbing, and fabricated structural metal products: 40.0100 Enameled iron and metal sanitary ware .... 40.0200 Plumbing fixture fittings and trim 40.0300 Heating equipment, except electric and warm air furnaces. 40.0400 Fabricated structural metal 50.0300 Scales and balances, except laboratory .... 50.0400 Industrial and commercial machinery and equipment, n.e.c. 51 Computer and office equipment: 51.0102 Calculating and accounting machines 51.0103 Electronic computers 51.0104 Computer peripheral equipment 3596 3599 3578 3571 3572, 3575, 51.0400 Office machines, n.e.c 52 Service Industry machinery: 52.0100 Automatic vending machines 52.0200 Commercial laundry equipment 52.0300 Refrigeration and heating equipment 52.0400 Measuring and dispensing pumps 52.0500 Service industry machinery, n.e.c 53 Electrical Industrial equipment and apparatus: 53.0200 Power, distribution, and specialty trans- formers. 53.0300 Switchgear and switchboard apparatus 53.0400 Motors and generators 53.0500 Relays and industrial controls 3577 3579 40.0500 Metal doors, sash, frames, molding, and trim. 40.0600 Fabricated plate work (boiler shops) 40.0700 Sheet metal work 3581 3582 40.0800 Architectural and ornamental metal work 40.0901 Prefabricated metal buildings and compo- nents. 40.0902 Miscellaneous structural metal work 41 Screw machine products and stampings: 41.0100 Screw machine products, bolts, etc. 41.0201 Automotive stampings 3585 3586 3589 3612 3613 41.0202 Crowns and closures 3621 41.0203 Metal stampings, n.e.c 3625 53.0700 Carbon and graphite products 3624 42 Other fabricated metal products: 42.0100 Cutlery 53.0800 Electrical industrial apparatus, n.e.c 54 Household appliances: 54.0100 Household cooking equipment 3629 42.0201 Hand and edge tools, except machine tools and handsaws. 3631 42.0202 Saw blades and handsaws 42.0300 Hardware, n.e.c 42.0401 Plating and polishing 54.0200 Household refrigerators and freezers 54.0300 Household laundry equipment 54.0400 Electric housewares and fans 3632 3633 3634 42.0402 Coating.engraving, and allied services, n.e.c. 42.0500 Miscellaneous fabricated wire products 42.0700 Steel springs, except wire 42.0800 Pipe, valves, and pipe fittings 54.0500 Household vacuum cleaners 54.0700 Household appliances, n.e.c 55 Electric lighting and wiring equipment: 55.0100 Electric lamp bulbs and tubes ... 3635 3639 3641 55.0200 Lighting fixtures and equipment 3645-8 42.1000 Metal foil and leaf 55.0300 Wiring devices 3643-4 42.1100 Fabricated metal products, n.e.c 43 Engines and turbines: 43.0100 Turbines and turbine generator sets 56 Audio, video, and communication equipment: 56.0100 Household audio and video equipment 56.0200 Prerecorded records and tapes 3651 3652 43.0200 Internal combustion engines, n.e.c 56.0300 Telephone and telegraph apparatus 56.0500 Communication equipment 3661 3663, 3669 44+45 Farm, construction, and mining machinery: 44.0001 Farm machinery and equipment 57 Electronic components and accessories: 57.0100 Electron tubes 44.0002 Lawn and garden equipment 3671 45.0100 Construction machinery and equipment .... 45.0200 Mining machinery, except oil field 57.0200 Semiconductors and related devices 57.0300 Other electronic components 3674 3672, 3675-9 45.0300 Oil and gas field machinery and equip- ment. 46 Materials handling machinery and equipment: 58 Miscellaneous electrical machinery and sup- plies: 58.0100 Storage batteries 3691 ' 46.0100 Elevators and moving stairways 58.0200 Primary batteries, dry and wet ... 3692 46.0200 Conveyors and conveying equipment 46.0300 Hoists, cranes, and monorails 58.0400 Electrical equipment for internal combus- tion engines. 58.0600 Magnetic and optical recording media 3694 46.0400 Industrial trucks and tractors 3695 30 REGIONAL MULTIPLIERS Appendix B. — Detailed Industries for Which Multipliers Are Available — Continued l-O industry number and title Related 1987 SIC codes l-O industry number and title Related 1987 SIC codes 59A 59B 58.0700 Electrical machinery, equipment, and sup- plies, n.e.c. Motor vehicles (passenger cars and trucks): 59.0301 Motor vehicles and passenger car bodies Truck and bus bodies, trailers, and motor vehi- cles parts: 59.0100 Truck and bus bodies 3699 3711 3713 3715 3714 3721 3724, 3764 3728, 3769 3731 3732 374 375 3792 3716 3799 381 3821 3823-4, 3829 3822 3841 3842 3843 387 3844 3845 3826-7 3825 385 386 3911 3915 3914 3961 393 3944 3942 3949 3951 3952 3953 3955 3965 3991 3996 3995 3993 *3999 40, 474, *4789 41 42, *4789 44 45 46 473, 4783, 4785, *4789 66 67 68A 68B 68C 69A 69B 70A 70B 71 A 71 B 72A 72B 73A 73B 73C 73D 65.0702 Arrangement of passenger transportation Communications, except radio and TV: 66.0000 Communications, except radio and TV Radio and TV broadcasting: 67.0000 Radio and TV broadcasting Electric services (utilities): 68.0100 Electric services (utilities) Gas production and distribution (utilities): 68.0200 Gas production and distribution (utilities) Water and sanitary services: 68.0301 Water supply and sewerage systems 68.0302 Sanitary services, steam supply, and irri- gation systems. WHOLESALE AND RETAIL TRADE Wholesale trade: 69.0100 Wholesale trade 472 481-2, 484, 489 483 59.0200 Truck trailers 491, *493 492, *493 60 59.0302 Motor vehicle parts and accessories Aircraft and parts: 60.0100 Aircraft 61 60.0200 Aircraft and missile engines and engine parts. 60.0400 Aircraft and missile equipment, n.e.c Other transportation equipment: 61.0100 Ship building and repairing 61.0200 Boat building and repairing 61.0300 Railroad equipment 61.0500 Motorcycles, bicycles, and parts 61.0601 Travel trailers and campers 61.0603 Motor homes 494, 4952 4953, 4959, 496- 7, *493 50, 51 Retail trade: 69.0200 Retail trade, except eating and drinking .... FINANCE, INSURANCE, AND REAL ESTATE Finance: 70.0150 Banking and credit agencies 62 61.0700 Transportation equipment, n.e.c Scientific and controlling instruments: 62.0101 Search and navigation equipment 62.0102 Laboratory apparatus and furniture 62.0200 Mechanical measuring devices 62.0300 Environmental controls 62.0400 Surgical and medical instruments and ap- paratus. 62.0500 Surgical appliances and supplies 62.0600 Dental equipment and supplies 62.0700 Watches, clocks, watchcases, and parts ... 62.0800 X-ray apparatus and tubes 52-7 (excl. *546), 59, *7389, 8042 60,61, 67 (excl. 70.0300 Security and commodity brokers Insurance: 70.0400 Insurance carriers 70.0500 Insurance agents, brokers, and services ... Owner-occupied dwellings: 71 0100 Owner-occupied dwellings 6732) 62 63 64 62.0900 Electromedical and electrotherapeutic ap- paratus. 62.1000 Laboratory and optical instruments 62.1100 Instruments to measure electricity Ophthalmic and photographic equipment: 63.0200 Ophthalmic goods 63.0300 Photographic equipment and supplies Miscellaneous manufacturing: 64.0101 Jewelry, precious metal 63 Real estate and royalties: 71.0201 Real estate agents, managers, operators, and lessors. 71 .0202 Royalties 65 (excl. 6552) 64 SERVICES Hotels and lodging places: 72.0100 Hotels and lodging places Personal and repair services (except auto): 72.0201 Laundry, cleaning, garment services, and shoe repair. 72.0202 Funeral service and crematories 72.0203 Portrait photographic studios, and other miscellaneous personal services. 72.0204 Electrical repair shops 72.0205 Watch, clock, jewelry, and furniture repair 72 0300 Beauty and barber shops 64.0102 Jewelers materials and lapidary work 64.0104 Silverware and plated ware 64.0105 Costume jewelry 70 64.0200 Musical instruments 721,725 64.0301 Games, toys, and children's vehicles 64.0302 Dolls and stuffed toys 726 64.0400 Sporting and athletic goods, n.e.c 64.0501 Pens, mechanical pencils, and parts 64.0502 Lead pencils and art goods 722, 729 762 64.0503 Marking devices 64.0504 Carbon paper and inked ribbons 763-4 723-4 64.0700 Fasteners, buttons, needles, and pins 64.0800 Brooms and brushes Computer and data processing services: 73.0104 Computer and data processing services ... Legal, engineering, accounting, and related services: 73.0301 Legal services 73.0302 Engineering, architectural, and surveying services. 73.0303 Accounting, auditing and bookkeeping, and miscellaneous services, n.e.c. Other business and professional services, ex- cept medical: 73 0101 Miscellaneous repair shops 64.0900 Hard surface floor coverings, n.e.c 64.1000 Burial caskets 737 64.1100 Signs and advertising specialties 65A 64.1200 Manufacturing industries, n.e.c TRANSPORTATION, COMMUNICATIONS, AND UTILITIES Railroads and related services; passenger ground transportation: 65.0100 Railroads and related services 65.0200 Local and suburban transit and interurban highway passenger transportation. Motor freight transportation and warehousing: 65.0300 Motor freight transportation and warehousing. Water transportation: 65.0400 Water transportation 81 871 872, 89 769 65B 65C 73.0102 Services to dwellings and other buildings 73.0103 Personnel supply services 73.0105 Management and consulting services, test- ing and research labs. 73.0106 Detective and protective services 73.0107 Miscellaneous equipment rental and leas- ing. 73.0108 Photofinishing labs and commercial pho- tography. 73 0109 Other business services 734 736 874,8731-2, 8734 7381-2 735 65D Air transportation: 65.0500 Air transportation Pipelines, freight forwarders, and related serv- ices: 65.0600 Pipelines, except natural gas 7384, 7335-6 732, 7383, 65E Advertising: 73.0200 Advertising *7389,7331, 7334, 7338 65.0701 Freight forwarders and other transportation services. 731 REGIONAL MULTIPLIERS 31 Appendix B.— Detailed Industries for Which Multipliers Are Available— Continued l-O industry number and title Related 1987 SIC codes l-O industry number and title Related 1987 SIC codes 74 Eating and drinking places: 74.0000 Eating and drinking places Automotive repair and services: 75.0001 Automotive rental and leasing, without drivers. 75.0002 Automotive repair shops and services 75.0003 Automobile parking and car washes Amusements: 76.0101 Motion picture services and theaters 76.0102 Video tape rental 76.0201 Theatrical producers (except motion pic- ture), bands, orchestras and entertainers. 76.0202 Bowling centers 76.0203 Professional sports clubs and promoters 76.0204 Racing, including track operation 76.0205 Physical fitness facilities and membership sports and recreation clubs. 76.0206 Other amusement and recreation services Health services: 77.0100 Doctors and dentists 58 751 753, 7549 752, 7542 781-3 784 792 793 7941 7948 7991,7997 791,7992-3, 7996, 7999 801-3, 8041 806 805 074, 8043, 8049, 807-9 77 0401 Elementary and secondary schools 821 75 76 77.0402 Colleges, universities, and professional schools. 77.0403 Private libraries, vocational schools, and educational services, n.e.c. 77.0501 Business associations and professional membership organizations. 77.0502 Labor organizations, civic, social, and fra- ternal associations. 77.0503 Religious organizations 77 0504 Other membership organizations 822 823-4, 829 861-2 863-4 866 84, 865, 869, 77.0600 Job training and related services 77.0700 Child day care services 8733, 6732 833 835 77.0800 Residential care 836 77.0900 Social services, n.e.c. GOVERNMENT ENTERPRISES 78 Federal Government enterprises: 78.0100 U.S. Postal Service 832, 839 43 78.0200 Federal electric utilities (') 77A 78.0500 Other Federal Government enterprises 79 State and local government enterprises: 79.0000 State and local government enterprises .... SPECIAL INDUSTRIES 91 Household industry: 91.0000 Household industry (') 77B 77.0200 Hospitals 77.0301 Nursing and personal care facilities 77.0302 Other medical and health services, includ- ing veterinarians. Educational and social services, and member- ship organizations: (') ( 2 ) 1. The SIC assigns the same codes to activities of both private firms and government agencies, but the SIC codes in the l-O accounts are used only for classifying pnvate activi- ties. 2. Industry output is defined as the compensation of domestic household workers. Appendix C: Industry Aggregations for Which Multipliers Are Available REGIONAL MULTIPLIERS 35 Appendix G — Industry Aggregations for Which Multipliers Are Available Numerical designation of industry aggregation Industry aggregation Numerical designation of component detailed industries 1 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 Farm and agricultural services, forestry, and fishing: Farm products and agricultural, forestry, and fishing services Forestry and fishing products Mining: Coal mining Oil and gas extraction Metal mining and nonmetallic minerals, except fuels Construction: Construction Manufacturing: Food and kindred products and tobacco products Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products and petroleum and coal products Rubber and miscellaneous plastics products and leather and leather products Lumber and wood products and furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Industrial machinery and equipment Electronic and other electric equipment Motor vehicles and equipment Other transportation equipment Instruments and related products Miscellaneous manufacturing industries Transportation and public utilities:* Transportation Communications Electric, gas, and sanitary services Wholesale and retail trade: Wholesale trade Retail trade Finance, insurance, and real estate: Depository and nondepository institutions and security and commodity brokers .... Insurance Real estate Services: Hotels and other lodging places, amusement and recreation services, and motion pictures. Personal services Business services Eating and drinking places Health services Miscellaneous services Private households 1.0100-2.0702, 4.0001-4.0002 3.0001-3.0002 7.0000 8.0000 5.0000-6.0200, 9.0001-10.0000 11.0000-12.0215 14.0103-15.0200 16.0100-18.0300 18.0400-19.0306 24.0100-25.0000 26.0100-26.0806 27.0100-31.0300 32.0100-34.0305 20.0100-23.0700 35.0100-36.2200 37.0101-38.1400 13.0200, 13.0500-13.0700, 39.0100-42.1100 43.0100-52.0500 53.0200-58.0700 59.0100-59.0302 13.0100, 13.0300,60.0100-61.0700 62.0101-63.0300 64.0101-64.1200 65.0100-65.0702,78.0100 66.0000-67.0000 68.0100-68.0302, 78.0200 69.0100 69.0200 70.0150-70.0300 70.0400-70.0500 71.0100-71.0202 72.0100,76.0101-76.0206 72.0201-72.0300 73.0101-73.0303 74.0000 77.0100-77.0302 75.0001-75.0003, 77.0401-77.0900, 78.0500, 79.0000 91.0000 * Includes Federal Government enterprises. 1 . Appendix B indentifies these industries. Appendix D: Sample Tables From RIMS II REGIONAL MULTIPLIERS 39 Table 1.1— Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area [Dollars] 1.0100 1.0200 1 .0301 1 .0302 2.0100 2.0201 2.0202 2.0203 2.0300 2.0401 2.0402 2.0501 2.0502 2.0503 2.0600 2.0701 1 1 .5957 1.2644 1.9012 1 .3775 1.1519 1.1665 1.1064 1.1119 1 .0469 1 .0875 1 .0699 1.0616 1 .0000 1.0366 1.1114 1 .0205 2 3 .0001 .0001 .0001 .0001 .0001 .0001 .0001 4 .0003 .0003 .0003 .0003 .0003 .0004 .0003 .0002 .0002 .0002 .0002 .0002 .0002 .0002 .0001 5 .0038 .0014 .0031 .0022 .0024 .0076 .0069 .0007 .0036 .0017 .0012 .0015 .0047 .0016 .0002 6 .0429 .0296 .0461 .0331 .0308 .0418 .0353 .0131 .0402 .0251 .0207 .0215 .0207 .0352 .0125 7 .1780 .5404 .1867 .3033 .0319 .0313 .0292 .0194 .0314 .0324 .0286 .0260 .0220 .0287 .0166 8 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0006 .0002 .0001 .0001 .0001 .0001 .0001 9 : .0089 .0091 .0227 .0723 .0114 .0026 .0030 .0043 .0093 .0092 .0060 .0165 .0081 .0194 .0212 .0712 .0177 .0020 .0021 .0030 .0063 .0057 .0041 .0140 .0098 .0092 .0246 .0664 .0124 .0027 .0031 .0043 .0083 .0108 .0069 .0184 .0081 .0084 .0204 .0551 .0173 .0022 .0023 .0037 .0067 .0111 .0067 .0158 .0070 .0071 .0176 .0845 .0076 .0018 .0025 .0026 .0054 .0059 .0041 .0127 .0067 .0061 .0193 .1001 .0087 .0021 .0032 .0035 .0064 .0107 .0064 .0132 .0061 .0061 .0173 .0935 .0099 .0019 .0028 .0044 .0076 .0109 .0063 .0123 .0060 .0374 .0101 .0323 .0050 .0013 .0012 .0014 .0031 .0027 .0018 .0083 .0071 .0067 .0205 .0595 .0160 .0023 .0025 .0049 .0071 .0212 .0114 .0156 .0089 .0259 .0182 .0690 .0088 .0273 .0026 .0025 .0053 .0059 .0042 .0138 .0083 .0408 .0146 .0399 .0071 .0016 .0021 .0021 .0044 .0050 .0035 .0124 .0075 .0276 .0136 .0373 .0085 .0015 .0017 .0021 .0042 .0051 .0035 .0113 .0053 .0041 .0123 .0532 .0057 .0014 .0031 .0020 .0039 .0053 .0034 .0100 .0064 .0055 .0182 .0582 .0077 .0018 .0023 .0030 .0056 .0094 .0058 .0126 .0040 10 .0028 11 .0088 12 .0154 13 .0060 14 .0010 15 .0009 16 .0014 17 .0027 18 .0042 19 .0027 20 .0077 21 .0009 .0008 .0010 .0008 .0007 .0007 .0006 .0004 .0008 .0007 .0007 .0006 .0005 .0006 .0004 22 .0020 .0019 .0023 .0019 .0015 .0015 .0014 .0010 .0016 .0017 .0015 .0014 .0012 .0015 .0009 23 .0013 .0012 .0015 .0012 .0010 .0011 .0010 .0007 .0011 .0011 .0010 .0009 .0008 .0010 .0006 24 .1188 .1041 .1130 .1004 .0556 .0815 .0684 .0488 .0624 .0577 .0467 .0467 .0494 .0501 .0268 25 .0377 .0325 .0417 .0339 .0272 .0305 .0274 .0186 .0331 .0288 .0254 .0234 .0210 .0282 .0164 26 .0535 .0499 .0463 .0506 .0406 .0398 .0352 .0220 .0271 .0350 .0288 .0268 .0302 .0333 .0121 27 .1481 .1112 .1443 .1157 .0822 .0989 .0893 .0537 .1240 .0998 .0593 .0592 .0496 .0794 .0314 28 .0793 .0688 .0868 .0716 .0592 .0628 .0567 .0408 .0692 .0650 .0584 .0531 .0463 .0569 .0352 29 .0646 .0459 .0706 .0510 .0492 .0576 .0462 .0248 .0558 .0450 .0425 .0365 .0392 .0546 .0294 30 .0514 .0382 .0643 .0463 .0475 .0626 .0568 .0214 .0685 .0455 .0351 .0324 .0363 .0931 .0244 31 .2017 .1341 .2417 .1609 .1679 .2467 .1926 .0710 .2433 .1354 .1159 .1240 .1148 .2214 .0860 32 .0146 .0133 .0159 .0129 .0130 .0115 .0103 .0071 .0124 .0126 .0110 .0100 .0085 .0109 .0063 33 .0137 .0120 .0150 .0126 .0116 .0111 .0101 .0066 .0132 .0117 .0102 .0094 .0081 .0104 .0060 34 .0743 .0608 .0816 .0690 .0569 .0676 .0613 .0295 .0854 .0558 .0458 .0443 .0413 .0619 .0287 35 .0419 .0362 .0462 .0377 .0319 .0330 .0296 .0209 .0350 .0347 .0305 .0279 .0244 .0315 .0184 36 .0752 .0730 .0914 .0714 .0540 .0534 .0485 .0368 .0563 .0601 .0543 .0491 .0422 .0509 .0325 37 .0664 .0574 .0712 .0594 .0509 .0512 .0468 .0300 .0528 .0517 .0453 .0424 .0372 .0475 .0261 38 .7000 .6145 .7745 .6384 .5354 .5287 .4798 .3659 .5594 .5975 .5390 .4874 .4193 .5055 .3230 Total 3.0415 2.8523 3.4491 2.7718 2.1272 2.3457 2.1395 1.6901 2.2399 2.0819 1.8749 1.8225 1.0000 1.7449 2.1469 1.4888 2.0702 3.0001 3.0002 4.0001 4.0002 5.0000 6.0100 6.0200 7.0000 8.0000 9.0001 9.0002 9.0003 9.0004 10.0000 11.0000 1 .... 2 .... 3 .... 4 .... 5 .... 6 .... 7 .... 8 .... 9 .... 10 .... 11 .... 12 .... 13 .... 14 .... 15 .... 16 .... 17 .... 18 .... 19 .... 20 .... 21 .... 22 .... 23 .... 24 .... 25 .... 26 .... 27 .... 28 .... 29 .... 30 .... 31 .... 32 .... 33 .... 34 .... 35 .... 36 .... 37 .... 38 .... Total 1.0439 .0001 .0002 .0009 .0185 .0268 .0001 .0066 .0043 .0126 .0211 .0079 .0014 .0013 .0017 .0037 .0036 .0029 .0118 .0006 .0014 .0009 .0464 .0236 .0366 .0624 .0569 .0330 .0257 .0972 .0098 .0092 .0382 .0295 .0534 .0427 .5310 1.7369 0.1511 1.0003 .0002 .0010 .0315 .0950 .0002 .0059 .0068 .0225 .0417 .0065 .0014 .0020 .0060 .0171 .0056 .0027 .0091 .0005 .0014 .0009 .0419 .0197 .0209 .0576 .0429 .0441 .0293 .0753 .0108 .0102 .1237 .0249 .0394 .0449 .3903 1.9952 1 .0000 1.0000 1.0791 .0001 .0008 .0042 .0445 .0601 .0005 .0137 .0270 .0288 .2268 .0131 .0026 .0032 .0037 .0088 .0051 .0046 .0199 .0018 .0026 .0020 .1164 .0379 .0531 .1483 .0946 .0649 .0437 .1481 .0433 .0332 .0959 .0526 .0857 .0982 .8494 2.6688 1 .0765 .0001 .0005 .0018 .0411 .0614 .0002 .0152 .0097 .0328 .0813 .0137 .0029 .0030 .0035 .0079 .0075 .0052 .0276 .0015 .0033 .0020 .0928 .0485 .0486 .1241 .1330 .0692 .0556 .2150 .0217 .0208 .0996 .0715 .1230 .1170 1 .2242 2.6391 1 .0000 1.0000 1 .0000 1.0000 1 .0000 1.0000 0.0122 1 .0024 .0001 .0006 .0272 .0254 .0001 .0066 .0046 .0143 .0171 .0125 .0027 .0031 .0065 .0125 .0395 .0041 .0116 .0006 .0015 .0009 .0631 .0218 .0420 .0619 .0545 .0368 .0237 .1082 .0093 .0089 .0503 .0291 .0509 .0502 .5066 1.8169 0.0053 1.0015 .0002 .0092 .0112 .0028 .0020 .0110 .0106 .0029 .0006 .0029 .0033 .0045 .0033 .0016 .0048 .0003 .0007 .0005 .0156 .0127 .0280 .0197 .0231 .0155 .0097 .2103 .0044 .0039 .0310 .0129 .0219 .0216 .2178 1.5094 0.0129 .0001 .0002 1.0103 .0281 .0266 .0001 .0069 .0073 .0160 .0288 .0140 .0016 .0027 .0063 .0156 .0133 .0047 .0119 .0006 .0017 .0011 .0591 .0247 .0713 .0562 .0565 .0476 .0242 .0985 .0168 .0118 .0685 .0317 .0527 .0494 .5239 1.8798 0.0126 .0001 .0002 1.0089 .0292 .0261 .0001 .0066 .0093 .0142 .0137 .0070 .0015 .0049 .0055 .0125 .0125 .0037 .0116 .0006 .0015 .0010 .0486 .0226 .0730 .0483 .0555 .0371 .0230 .1024 .0146 .0104 .0564 .0307 .0519 .0479 .5165 1.8058 1 .0000 1.0000 0.0137 .0002 .0003 1.0015 .0275 .0284 .0001 ,0075 .0113 .0264 .0147 .0126 .0017 .0027 .0088 .0099 .0229 .0046 .0137 .0007 .0017 .0011 .0599 .0255 .0711 .0635 .0608 .0409 .0267 .0999 .0137 .0111 .0588 .0330 .0570 .0500 .5668 1.8839 0.0116 .0005 .0008 1.0039 .0271 .0230 .0001 .0058 .0053 .0148 .0170 .0103 .0015 .0021 .0100 .0064 .0100 .0037 .0105 .0006 .0014 .0009 .0591 .0225 .1190 .0473 .0489 .0748 .0219 .0887 .0120 .0083 .0603 .0270 .0454 .0480 .4519 1.8504 0.0232 .0001 .0002 .0087 1 .0235 .0365 .0001 .0092 .0091 .0223 .0340 .0205 .0231 .0480 .0255 .0588 .0130 .0203 .0163 .0008 .0026 .0015 .0649 .0373 .0348 .0962 .1164 .0565 .0358 .1292 .0146 .0131 .1560 .0440 .0722 .0685 .7185 2.3369 Note. — The column industries are identified in appendix B, and the row industries are iden- sum ot the entries in rows 1-37; these entries include earnings paid to households employed tified in appendix C. in industries 1-37. Each column total excludes the entry in row 38; this entry is the sum of Each entry measures the change in output in each row industry that results from a $1 earnings paid to households. Column entries may not sum to totals due to rounding, change in output delivered to final demand by the column industry. Each column total is the 40 REGIONAL MULTIPLIERS Table 1.1— Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area— Continued [Dollars] 11.0601 11.0602 11.0603 12.0215 13.0100 13.0200 13.0300 13.0500 13.0600 13.0700 14.0103 14.0105 14.0250 14.0400 14.0500 14.0600 1 .... 2 .... 3 .... 4 .... 5 .... 6 .... 7 .... 8 .... 9 .... 10 .... 11 .... 12 ..., 13 .... 14 ..., 15 .... 16 .... 17 .... 18 .... 19 .... 20 .... 21 .... 22 .... 23 .... 24 .... 25 .... 26 .... 27 .... 28 .... 29 .... 30 .... 31 .... 32 .... 33 .... 34 .... 35 .... 36 .... 37 .... 38 .... Total 0.0239 .0001 .0003 .0010 1.0284 .0504 .0001 .0126 .0077 .0233 .0300 .0108 .0023 .0195 .0689 .0301 .0085 .0042 .0217 .0011 .0027 .0016 .0702 .0406 .0438 .0919 .1065 .0549 .0418 .1732 .0174 .0169 .0640 .0548 .1020 .0760 1.0145 2.3032 0.0188 .0001 .0002 .0003 1.0196 .0398 .0001 .0100 .0054 .0246 .0180 .0081 .0017 .0015 .0047 .0090 .0089 .0030 .0171 .0009 .0021 .0013 .0345 .0342 .0289 .0462 .0841 .0424 .0327 .2014 .0140 .0131 .0508 .0430 .0811 .0577 .8074 1.9591 0.0113 .0001 .0001 .0004 1.0118 .0240 .0001 .0060 .0034 .0106 .0219 .0053 .0011 .0009 .0066 .0078 .0285 .0021 .0104 .0005 .0013 .0007 .0255 .0178 .0188 .0341 .0508 .0258 .0197 .0779 .0082 .0079 .0281 .0260 .0489 .0350 .4868 1.5795 0.0240 .0001 .0003 .0014 1.0261 .0508 .0002 .0128 .0081 .0229 .0407 .0218 .0047 .0193 .0191 .0325 .0054 .0065 .0220 .0012 .0029 .0016 .0848 .0399 .0419 .0830 .1065 .0576 .0430 .1652 .0176 .0174 .0734 .0553 .1020 .0774 1.0151 2.2891 0.0132 .0001 .0002 .0212 .0278 .0001 .0069 .0045 .0216 .0119 .0097 .0014 .0016 .0057 .0067 .0041 .0342 .0119 1.0061 .0044 .0010 .0304 .0317 .0266 .0441 .0581 .0319 .0238 .1005 .0105 .0094 .0584 .0330 .0555 .0425 .5521 1.7508 0.0t50 .0001 .0004 .0004 .0284 .0308 .0001 .0100 .0076 .0415 .0319 .0120 .0021 .0031 .0451 1 .0947 .0122 .0091 .0133 .0008 .0038 .0017 .0630 .0397 .0514 .0715 .0651 .0408 .0287 .1075 .0140 .0122 .0824 .0381 .0608 .0535 .6053 2.0928 1.0000 1.0000 0.0148 .0001 .0002 .0004 .0254 .0308 .0001 .0076 .0081 .0339 .0166 .0104 .0030 .0026 .0506 1.0405 .0104 .0031 .0133 .0007 .0018 .0014 .0620 .0355 .0404 .0792 .0648 .0369 .0282 .1048 .0135 .0115 .0746 .0374 .0610 .0548 .6072 1.9808 0.0141 .0001 .0002 .0004 .0273 .0290 .0001 .0073 .0201 .0306 .0493 .0287 .0025 .0025 .0263 1.0466 .0086 .0030 .0127 .0007 .0017 .0013 .0568 .0328 .0418 .0699 .0614 .0344 .0266 .0977 .0123 .0109 .0627 .0345 .0575 .0517 .5717 1.9643 1.0000 1.0000 1.4037 .0001 .0003 .0024 .0427 1 .3232 .0001 .0102 .0191 .0400 .0553 .0159 .0027 .0029 .0045 .0100 .0089 .0061 .0188 .0010 .0024 .0016 .1117 .0461 .0509 .1739 .0897 .0673 .0578 .2205 .0168 .0155 .0857 .0485 .0915 .0737 .8110 4.1213 0.1493 .0001 .0001 .0003 .0162 1.1346 .0001 .0049 .0316 .0190 .0165 .0067 .0011 .0011 .0017 .0043 .0020 .0018 .0084 .0004 .0012 .0008 .0387 .0214 .0316 .0751 .0414 .0256 .0180 .0703 .0076 .0077 .0377 .0233 .0399 .0346 .3845 1.8749 0.3621 .0001 .0002 .0010 .0186 1.1908 .0001 .0046 .0348 .0361 .0249 .0136 .0013 .0013 .0024 .0058 .0034 .0024 .0082 .0004 .0013 .0006 .0518 .0223 .0312 .1196 .0397 .0298 .0208 .0828 .0078 .0076 .0461 .0227 .0371 .0352 .3587 2.2687 0.2432 .0002 .0007 .0176 1.0707 .0001 .0041 .0322 .0327 .0199 .0183 .0012 .0013 .0076 .0245 .0061 .0022 .0074 .0004 .0013 .0008 .0432 .0237 .0323 .0794 .0360 .0313 .0181 .0730 .0074 .0071 .0411 .0203 .0336 .0326 .3273 1.9716 0.0929 .0001 .0002 .0004 .0198 1.1562 .0001 .0051 .0957 .0238 .0178 .0196 .0062 .0014 .0022 .0049 .0030 .0022 .0090 .0005 .0014 .0009 .0492 .0253 .0385 .0908 .0438 .0283 .0202 .0793 .0084 .0092 .0520 .0252 .0406 .0414 .4017 2.0166 0.4160 .0001 .0002 .0011 .0215 1.0929 .0001 .0053 .0377 .0272 .0304 .0263 .0014 .0016 .0029 .0082 .0038 .0027 .0095 .0005 .0013 .0010 .0540 .0284 .0356 .0971 .0461 .0332 .0241 .0966 .0092 .0085 .0511 .0258 .0435 .0401 .4200 2.2852 14.0700 14.0800 14.0900 14.1000 14.1100 14.1200 14.1301 14.1302 14.1401 14.1402 14.1403 14.1501 14.1502 14.1600 14.1700 14.1801 1 .... 2 .... 3 .... 4 .... 5 .... 6 .... 7 .... 8 .... 9 .... 10 .... 11 .... 12 .... 13.... 14 .... 15 .... 16 .... 17 .... 18 .... 19 .... 20 .... 21 .... 22 .... 23 .... 24 .... 25 .... 26 .... 27 .... 28 .... 29 .... 30 .... 31 .... 32 .... 33 .... 34 .... 35 .... 36 .... 37 .... 38 .... Total 1 .0000 1.0000 1.0000 1.0000 0.0236 .0001 .0002 .0002 .0167 1 .0409 .0001 .0044 .0281 .0292 .0120 .0066 .0023 .0012 .0209 .0732 .0030 .0019 .0078 .0004 .0012 .0008 .0671 .0236 .0326 .1235 .0384 .0255 .0190 .0662 .0077 .0075 .0462 .0228 .0349 .0370 .3471 1.8268 1.0000 1.0000 0.0316 .0001 .0002 .0003 .0157 1 .0735 .0002 .0046 .0244 .0806 .0240 .0798 .0012 .0014 .0020 .0057 .0030 .0021 .0087 .0004 .0014 .0012 .0711 .0316 .0446 .0717 .0395 .0271 .0218 .0686 .0088 .0089 .0524 .0228 .0359 .0361 .3569 1.9030 1.0000 1.0000 0.0218 .0001 .0002 .0003 .0182 1.0316 .0001 .0051 .0519 .0348 .0182 .0448 .0015 .0014 .0064 .0173 .0026 .0021 .0089 .0005 .0014 .0011 .0820 .0292 .0414 .1209 .0439 .0273 .0205 .0746 .0089 .0083 .0525 .0252 .0400 .0413 .3982 1.8860 0.1553 .0001 .0002 .0006 .0214 1 .2406 .0001 .0061 .0725 .0334 .0244 .0478 .0015 .0017 .0024 .0052 .0037 .0026 .0102 .0005 .0016 .0011 .0660 .0303 .0370 .1175 .0498 .0320 .0252 .0916 .0099 .0093 .0565 .0281 .0467 .0435 .4567 2.2765 0.6079 .0001 .0003 .0041 .0406 1 .0942 .0001 .0083 .0351 .0305 .0615 .0101 .0022 .0028 .0032 .0062 .0077 .0049 .0131 .0008 .0017 .0013 .1433 .0361 .0523 .1620 .0637 .0513 .0472 .1769 .0129 .0115 .0743 .0361 .0559 .0573 .5550 2.9173 0.2422 .0001 .0002 .0017 .0266 1.0448 .0001 .0055 .0601 .0447 .0310 .0090 .0015 .0019 .0027 .0058 .0043 .0029 .0098 .0005 .0015 .0013 .0761 .0355 .0309 .1107 .0479 .0344 .0285 .1099 .0152 .0086 .0629 .0273 .0434 .0417 .4310 2.1712 0.2634 .0001 .0002 .0018 .0271 1.1800 .0001 .0060 .0523 .0345 .0328 .0106 .0016 .0020 .0023 .0044 .0042 .0031 .0105 .0006 .0015 .0012 .0958 .0329 .0349 .1091 .0512 .0370 .0311 .1177 .0156 .0109 .0609 .0289 .0463 .0446 .4597 2.3572 0.1538 .0001 .0002 .0008 .0212 1.1867 .0002 .0079 .0527 .0652 .0383 .0283 .0015 .0016 .0166 .0567 .0041 .0026 .0092 .0005 .0014 .0014 .0675 .0376 .0379 .1023 .0447 .0335 .0269 .0917 .0178 .0085 .0643 .0261 .0410 .0408 .4055 2.2914 0.4042 .0001 .0003 .0022 .0312 1.5889 .0001 .0075 .0187 .0261 .1154 .0150 .0019 .0022 .0029 .0062 .0057 .0040 .0124 .0007 .0018 .0011 .1341 .0330 .0458 .1592 .0603 .0467 .0447 .1399 .0118 .0107 .0706 .0338 .0537 .0546 .5321 3.1470 1.0000 1.0000 0.5649 .0003 .0005 .0028 .0377 1.0882 .0001 .0068 .0211 .0364 .0490 .0091 .0020 .0025 .0033 .0063 .0083 .0047 .0128 .0007 .0016 .0013 .1059 .0350 .0822 .1467 .0608 .0472 .0502 .1553 .0167 .0112 .0727 .0338 .0539 .0634 .5352 2.7955 0.0535 .0001 .0002 .0004 .0194 1.1115 .0001 .0063 .0268 .0357 .0157 .0114 .0013 .0014 .0017 .0036 .0033 .0025 .0110 .0006 .0017 .0012 .0508 .0337 .0326 .0639 .0537 .0346 .0259 .0962 .0108 .0092 .0796 .0310 .0498 .0485 .4956 1.9296 Note.— The column industries are identified in appendix B. and the row Industries are iden- sum of the entries In rows 1-37; these entries Include earnings paid to households employed tified in appendix C. in industries 1-37. Each column total excludes the entry In row 38; this entry Is the sum of Each entry measures the change in output in each row industry that results from a $1 earnings paid to households. Column entries may not sum to totals due to rounding, change in output delivered to final demand by the column industry. Each column total is the REGIONAL MULTIPLIERS 41 Table 1.1— Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area— Continued [Dollars] 14.1802 14.1803 14.1900 14.2001 14.2002 14.2003 14.2004 14.2101 14.2102 14.2103 14.2104 14.2200 14.2300 14.2400 14.2500 14.2600 1 0.0580 0.0613 0.0573 0.2249 0.0154 0.0159 0.0236 0.0350 0.0421 0.7917 2 3 .0001 .0001 .0001 .0001 .0001 4 .0002 .0002 .0001 .0001 .0002 .0001 .0001 .0002 .0001 .0003 5 .0004 .0005 .0003 .0005 .0003 .0002 .0002 .0004 .0005 .0013 6 .0178 .0239 .0172 .0186 .0163 .0126 .0058 .0232 .0138 .0360 7 1.1081 1.1356 1.0000 1.0602 1.0000 1.0000 1.0484 1.0187 1.0000 1.0181 1.0372 1.0814 1.0828 1.0000 1.1470 1.0000 8 .0001 .0002 .0001 .0001 .0001 .0001 .0002 .0001 .0001 9 .0056 .0069 .0047 .0045 .0039 .0038 .0017 .0050 .0036 .0073 10 .0729 .0318 .0190 .0740 .0481 .0299 .0660 .0253 .0165 .0253 .0258 .0209 .0318 .0564 .0128 .0176 .0680 .0093 .0046 .0196 .0051 .0199 .0412 .0226 .0135 .0898 .0381 .0103 .0265 .0478 11 12 13 .0248 .0013 .0014 .0018 .0037 .0040 .0023 .0099 .0824 .0017 .0020 .0028 .0053 .0044 .0028 .0114 .0145 .0012 .0012 .0021 .0049 .0030 .0019 .0083 .0134 .0012 .0013 .0043 .0127 .0040 .0024 .0080 .0083 .0011 .0011 .0383 .1354 .0036 .0017 .0068 .0057 .0012 .0009 .0011 .0029 .0023 .0015 .0067 .0051 .0023 .0004 .0006 .0013 .0013 .0007 .0030 .0731 .0016 .0019 .0326 .1149 .0040 .0024 .0087 .0104 .0010 .0010 .0049 .0159 .0026 .0017 .0064 .0124 .0022 .0024 .0030 .0062 .0084 .0052 .0137 14 15 16 17 18 19 20 21 .0005 .0006 .0004 .0004 .0004 .0004 .0002 .0005 .0003 .0007 22 .0018 .0019 .0016 .0013 .0010 .0010 .0004 .0014 .0011 .0017 23 .0011 .0014 .0009 .0009 .0011 .0011 .0004 .0012 .0017 .0012 24 .0504 .0647 .0503 .0510 .0497 .0531 .0241 .0550 .0488 .0844 25 .0297 .0386 .0240 .0241 .0287 .0296 .0115 .0309 .0449 .0350 26 .0311 .0453 .0285 .0252 .0292 .0214 .0103 .0304 .0210 .0512 27 .0793 .1068 .0818 .0919 .0515 .1095 .0599 .0940 .0718 .1781 28 .0476 .0554 .0404 .0385 .0335 .0330 .0148 .0427 .0312 .0643 29 .0309 .0353 .0277 .0306 .0275 .0289 .0115 .0312 .0265 .0598 30 .0236 .0283 .0209 .0310 .0195 .0174 .0098 .0211 .0169 .0789 31 .0855 .0975 .0743 .0902 .0563 .0580 .0271 .0745 .0609 .1968 32 .0094 .0115 .0078 .0077 .0080 .0081 .0034 .0094 .0104 .0130 33 .0083 .0109 .0071 .0069 .0059 .0062 .0027 .0082 .0060 .0122 34 .0642 .0678 .0522 .0558 .0508 .0480 .0202 .0606 .0656 .0740 35 .0279 .0315 .0235 .0228 .0195 .0201 .0088 .0255 .0189 .0365 36 .0445 .0514 .0375 .0352 .0308 .0302 .0135 .0393 .0287 .0579 37 .0426 .0488 .0354 .0345 .0346 .0303 .0132 .0377 .0290 .0567 38 .4425 .5112 .3732 .3499 .3063 .3007 .1344 .3907 .2852 .5751 Total 1.9416 2.1913 1.0000 1.7990 1.0000 1.0000 1.9646 1.8001 1.0000 1.6643 1.3443 2.0317 1.8121 1.0000 3.1242 1.0000 14.2700 14.2800 14.2900 14.3000 14.3100 14.3201 14.3202 15.0101 15.0102 15.0103 15.0200 16.0100 16.0200 16.0300 16.0400 17.0100 1 0.1099 0.0064 0.3070 0.0153 0.1293 0.0549 0.0900 .0001 0.0109 0.0194 0.0127 0.0212 2 3 .0001 .0001 .0002 .0001 .0001 .0001 .0001 .0001 4 .0005 .0001 .0003 .0002 .0002 .0002 .0002 .0001 .0002 .0002 .0002 5 .0004 .0001 .0007 .0003 .0010 .0005 .0005 .0002 .0003 .0002 .0002 6 .0234 .0088 .0253 .0252 .0276 .0181 .0194 .0106 .0175 .0220 .0167 7 1 .2279 1.0125 1.4438 1.0360 1.2441 1.0508 1.0635 1.0000 1.0000 1.0156 1 .0000 .0191 .0266 .0190 8 .0003 .0001 .0002 .0002 .0002 .0002 .0001 1 .0075 1.0006 1.0007 1.0000 1.0000 9 .0058 .0099 .0246 .0028 .0143 .0169 .0056 .0387 .0365 .0079 .1192 .0311 .0064 .0933 .0288 .0051 .0725 .0336 .0053 .0452 .0408 .0048 .0335 .0404 .0054 .0086 .0130 .0069 .0054 .0459 .0046 .0045 .0103 10 11 12 .0283 .0068 .0313 .0233 .0329 .0260 .0283 .0165 .0142 .0136 .0125 13 .1397 .0135 .0465 .0145 .0802 .0655 .0843 .0167 .0106 .0208 .0047 14 .0016 .0027 .0007 .0007 .0016 .0018 .0015 .0018 .0017 .0021 .0013 .0016 .0014 .0017 .0008 .0008 .0012 .0041 .0014 .0029 .0010 .0011 o 15 16 .0022 .0041 .0042 .0020 .0025 .0020 .0030 .0018 .0013 .0017 .0012 17 .0060 .0138 .0121 .0044 .0053 .0042 .0079 .0041 .0030 .0039 .0026 18 .0041 .0010 .0047 .0055 .0040 .0031 .0038 .0029 .0024 .0029 .0021 19 .0027 .0011 .0032 .0029 .0030 .0023 .0025 .0017 .0017 .0024 .0016 20 .0099 .0052 .0102 .0134 .0109 .0089 .0092 .0066 .0079 .0113 .0078 21 .0005 .0003 .0006 .0007 .0006 .0005 .0005 .0003 .0004 .0006 .0004 22 .0015 .0007 .0014 .0021 .0016 .0021 .0016 .0014 .0011 .0017 .0010 23 .0011 .0005 .0011 .0014 .0012 .0009 .0011 .0009 .0007 .0014 .0006 24 .0554 .1415 .1092 .0514 .0813 .0687 .0697 .0316 .0338 .0438 .0301 25 .0284 .0148 .0308 .0334 .0315 .0253 .0271 .0259 .0179 .0391 .0164 26 .0668 .0165 .0464 .0752 .0427 .0296 .0335 .0188 .0423 .0402 .0486 27 .0826 .0710 .1199 .0466 .1074 .0938 .1015 .0423 .0747 .0584 .0646 28 .0484 .0271 .0497 .0656 .0532 .0437 .0451 .0320 .0383 .0555 .0381 29 .0319 .0162 .0385 .0390 .0352 .0277 .0306 .0290 .0245 .0328 .0237 30 .0234 .0119 .0391 .0302 .0279 .0211 .0244 .0153 .0171 .0238 .0174 31 .0853 .0423 .1132 .1211 .1031 .0774 .0861 .0583 .0623 .0939 .0613 32 .0092 .0047 .0101 .0120 .0104 .0084 .0091 .0075 .0067 .0120 .0065 33 .0090 .0043 .0091 .0195 .0098 .0096 .0106 .0060 .0109 .0191 .0128 34 .0511 .0242 .0575 0765 0595 0520 0598 o o 0869 o 0461 0633 0338 o o 35 .0272 .0142 .0279 0410 0311 0264 0281 o o 0193 o 0222 0329 0223 o o 36 .0454 .0224 0450 0623 0490 0402 0415 o o 0297 o 0358 0523 0356 o o 37 .0433 .0239 .0445 .0642 .0450 .0380 .0408 .0334 !0350 .0497 .0356 38 .4449 .2224 .4434 .6199 .4871 .4000 .4119 .2956 .3552 .5206 .3535 Total 2.2105 1.5453 2.7175 2.0471 2.3641 1.9163 2.0186 1.0000 1.0000 1.6070 1.0000 1.6074 1.8019 1.5609 1.0000 1 0000 Note.— The column industries are Identified in appendix B, and the row Industries are Iden- tified In appendix C. Each entry measures the change in output in each row industry that results from a $1 change in output delivered to final demand by the column industry. Each column total is the sum of the entries In rows 1-37; these entries include earnings paid to households employed In industries 1-37. Each column total excludes the entry In row 38; this entry Is the sum of earnings paid to households. Column entries may not sum to totals due to rounding. 42 REGIONAL MULTIPLIERS Table 1.1 — Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area — Continued [Dollars] 17.0600 17.0700 17.0900 17.1001 17.1100 18.0101 18.0102 18.0201 18.0202 18.0203 18.0300 18.0400 19.0100 19.0200 19.0301 19.0302 1 .... 2 .... 3 .... 4 ..., 5 .... 6 .... 7 .... 8 .... 9 .... 10 .... 11 .... 12 .... 13 .... 14 .... 15 .... 16 .... 17 .... 18.... 19 .... 20 .... 21 .... 22 .... 23 .... 24 .... 25 .... 26 .... 27 .... 28 .... 29 .... 30 .... 31 .... 32 .... 33 .... 34 .... 35 .... 36 .... 37 .... 38 .... Total 0.0102 .0001 .0002 .0004 .0157 .0210 1 .01 1 1 .0066 .0066 .0318 .0757 .0166 .0011 .0012 .0014 .0034 .0022 .0019 .0088 .0005 .0016 .0010 .0546 .0288 .0369 .0679 .0430 .0275 .0192 .0726 .0086 .0102 .0581 .0245 .0401 .0377 .3994 1.7489 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0.0131 .0001 .0002 .0003 .0200 .0323 1 .0021 .0061 .0157 .0378 .0387 .0094 .0018 .0018 .0016 .0039 .0027 .0021 .0103 .0005 .0014 .0012 .0530 .0328 .0428 .0521 .0505 .0302 .0224 .0869 .0099 .0140 .0573 .0294 .0471 .0435 .4689 1.7753 1.0000 1.0000 1.0000 1.0000 0.0134 .0001 .0002 .0002 .0152 .0247 1.0018 .0329 .0083 .0130 .0177 .0548 .0012 .0013 .0014 .0036 .0021 .0021 .0105 .0005 .0015 .0015 .0388 .0207 .0302 .0546 .0513 .0287 .0219 .0860 .0089 .0128 .0381 .0286 .0488 .0406 .4854 1.7181 1.0000 1.0000 1 .0000 1.0000 1.0000 1.0000 0.0144 .0001 .0002 .0143 .0257 .0051 1.1177 .0079 .0209 .0094 .0117 .0011 .0010 .0012 .0028 .0019 .0019 .0097 .0005 .0017 .0013 .0317 .0239 .0235 .0671 .0474 .0317 .0208 .0811 .0087 .0099 .0435 .0287 .0449 .0400 .4460 1.7534 0.0105 .0001 .0002 .0143 .0220 .0084 1.0269 .0107 .0167 .0087 .0063 .0012 .0011 .0012 .0027 .0018 .0018 .0091 .0005 .0016 .0008 .0346 .0214 .0220 .0789 .0448 .0381 .0198 .0772 .0087 .0083 .0437 .0278 .0426 .0350 .4239 1.6496 0.0076 .0001 .0001 .0118 .0156 .0111 1.0138 .0252 .0158 .0078 .0071 .0055 .0011 .0011 .0026 .0015 .0014 .0068 .0003 .0013 .0007 .0324 .0179 .0269 .0974 .0323 .0235 .0157 .0569 .0066 .0073 .0355 .0204 .0302 .0294 .3007 1.5710 0.0105 .0001 .0002 .0142 .0216 .0213 1 .0094 .0116 .0172 .0102 .0098 .0011 .0011 .0011 .0027 .0018 .0018 .0091 .0005 .0021 .0009 .0489 .0225 .0245 .0598 .0452 .0263 .0208 .0761 .0079 .0108 .0419 .0271 .0425 .0345 .4232 1.6370 0.0129 .0002 .0003 .0192 .0275 .0366 1 .0202 .0095 .0244 .0277 .0127 .0014 .0015 .0016 .0037 .0027 .0023 .0111 .0006 .0018 .0029 .0381 .0293 .0273 .0867 .0545 .0330 .0247 .0951 .0103 .0106 .0537 .0343 .0519 .0427 .5158 1.8128 19.0303 19.0304 19.0305 19.0306 20.0100 20.0200 20.0300 20.0400 20.0501 20.0502 20.0600 20.0701 20.0702 20.0703 20.0800 20.0901 1 .... 2 .... 3 .... 4 .... 5 .... 6 .... 7 .... 8 .... 9 .... 10 .... 11 .... 12 .... 13 .... 14 .... 15 .... 16 .... 17 .... 18 .... 19 .... 20 .... 21 .... 22 .... 23 .... 24 .... 25 .... 26 .... 27 .... 28 .... 29 .... 30 .... 31 .... 32 .... 33 .... 34 .... 35 .... 36 .... 37 .... 38 .... Total 0.0120 .0001 .0002 .0159 .0251 .0013 1 .0736 .0084 .0182 .0395 .0208 .0012 .0012 .0014 .0034 .0020 .0023 .0105 .0006 .0016 .0015 .0350 .0244 .0267 .0501 .0514 .0541 .0222 .0899 .0110 .0309 .0434 .0295 .0490 .0387 .4873 1.7971 0.0363 .0001 .0002 .0003 .0184 .0479 .0280 1.0189 .0179 .0258 .0385 .1306 .0016 .0018 .0019 .0049 .0026 .0025 .0110 .0006 .0024 .0013 .0475 .0263 .0305 .0803 .0538 .0398 .0242 .0920 .0107 .0160 .0551 .0314 .0510 .0531 .5062 2.0053 1.0000 1.0000 0.0108 .0002 .0003 .0161 .0226 .0142 1.0201 .0275 .0259 .0271 .0226 .0014 .0016 .0016 .0036 .0024 .0020 .0092 .0005 .0037 .0018 .0402 .0252 .0267 .1002 .0449 .0341 .0210 .0815 .0087 .0104 .0506 .0287 .0424 .0414 .4221 1.7710 0.1012 .0034 .0002 .0005 .0138 .0175 .0001 .0043 .0045 .0099 .0310 .0205 1.0054 .0011 .0127 .0280 .0118 .0038 .0078 .0006 .0010 .0007 .0309 .0148 .0185 .0448 .0355 .0241 .0191 .0582 .0058 .0059 .0318 .0190 .0309 .0489 .3071 1.6681 0.0132 .0001 .0002 .0002 .0215 .0201 .0001 .0049 .0046 .0126 .0116 .0063 1.0215 .0016 .0024 .0079 .0035 .0020 .0088 .0005 .0013 .0007 .0547 .0193 .0387 .0614 .0432 .0314 .0217 .0680 .0074 .0074 .0399 .0257 .0393 .0406 .3911 1.6444 0.0156 .0001 .0002 .0003 .0275 .0312 .0001 .0078 .0139 .0222 .0180 .0077 1.0407 .0021 .0023 .0057 .0039 .0030 .0142 .0007 .0019 .0012 .0646 .0305 .0450 .1199 .0681 .0396 .0310 .1084 .0115 .0117 .0580 .0384 .0613 .0708 .6103 1.9791 0.0163 .0001 .0001 .0006 .0646 .0274 .0001 .0069 .0052 .0171 .0122 .0147 1.0308 .0035 .0028 .0066 .0029 .0032 .0125 .0006 .0015 .0010 .0565 .0258 .0335 .1025 .0612 .0392 .0269 .0973 .0102 .0119 .0536 .0318 .0550 .0584 .5472 1.8946 0.0136 .0001 .0002 .0003 .0232 .0274 .0001 .0067 .0124 .0314 .0284 .0148 1 .0266 .0091 .0091 .0568 .0050 .0034 .0118 .0006 .0018 .0013 .0675 .0330 .0334 .1267 .0576 .0384 .0263 .0986 .0112 .0100 .0608 .0345 .0536 .0479 .5332 1.9836 0.0161 .0001 .0002 .0003 .0258 .0328 .0001 .0081 .0245 .0311 .0451 .0171 1.0439 .0030 .0061 .0391 .0042 .0034 .0141 .0007 .0021 .0014 .0623 .0352 .0362 .1003 .0688 .0412 .0303 .1176 .0125 .0113 .0638 .0394 .0645 .0560 .6413 2.0587 0.0134 .0001 .0003 .0003 .0202 .0228 .0001 .0056 .0068 .0175 .0389 .0097 1.0312 .0020 .0021 .0064 .0036 .0024 .0098 .0005 .0015 .0009 .0604 .0227 .0504 .0774 .0481 .0363 .0236 .0769 .0087 .0081 .0445 .0283 .0442 .0408 .4401 1.7661 0.0139 .0001 .0002 .0003 .0228 .0286 .0001 .0071 .0108 .0211 .0212 .0074 1 .0299 .0020 .0079 .0411 .0032 .0029 .0124 .0007 .0016 .0011 .0725 .0280 .0297 .1339 .0609 .0376 .0260 .1021 .0109 .0107 .0560 .0343 .0567 .0499 .5644 1.9458 0.0142 .0001 .0002 .0005 .0311 .0293 .0001 .0072 .0091 .0442 .0160 .0101 1.0661 .0187 .0139 .0666 .0070 .0057 .0126 .0007 .0018 .0015 .0719 .0392 .0343 .1219 .0614 .0458 .0292 .1030 .0135 .0111 .0790 .0377 .0570 .0517 .5672 2.1135 1.0000 1.0000 0.0100 .0001 .0003 .0005 .0180 .0184 .0001 .0045 .0070 .0244 .0402 .0052 1 .0350 .0016 .0021 .0069 .0032 .0018 .0076 .0004 .0012 .0009 .0714 .0242 .0339 .1108 .0379 .0322 .0192 .0638 .0078 .0072 .0624 .0241 .0343 .0344 .3415 1.7528 0.0148 .0001 .0002 .0003 .0262 .0291 .0001 .0071 .0099 .0253 .0272 .0073 1 .0292 .0022 .0037 .0110 .0050 .0026 .0122 .0007 .0018 .0012 .0747 .0295 .0384 .1151 .0603 .0410 .0269 .0997 .0110 .0110 .0642 .0380 .0560 .0545 .5566 1.9375 Note. — The column industries are identified in appendix B, and the row industries are iden- tified in appendix C. Each entry measures the change in output in each row industry that results from a $1 change in output delivered to final demand by the column industry. Each column total is the sum of the entries in rows 1-37; these entries include earnings paid to households employed in industries 1-37. Each column total excludes the entry in row 38; this entry is the sum of earnings paid to households. Column entries may not sum to totals due to rounding. REGIONAL MULTIPLIERS 43 Table 1.1— Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area— Continued [Dollars] 20.0903 20.0904 21.0000 22.0101 22.0102 22.0103 22.0200 22.0300 22.0400 23.0100 23.0200 23.0300 23.0400 23.0500 23.0600 23.0700 1 0.0159 0.0163 0.0151 0.0148 - 0.0231 0.0140 0.0131 0.0156 0.0133 0.0127 0.0159 0.0153 0.0122 0.0148 2 3 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0002 .0001 .0001 4 .0004 .0002 .0002 .0002 .0002 .0002 .0002 .0002 .0002 .0002 .0002 .0003 .0002 .0002 5 .0003 .0003 .0004 .0004 .0003 .0004 .0003 .0003 .0004 .0004 .0004 .0006 .0004 .0004 6 .0276 .0285 .0313 .0240 .0267 .0269 .0245 .0293 .0242 .0272 .0267 .0304 .0270 .0246 7 .0323 .0335 .0312 .0301 .0378 .0291 .0272 .0312 .0278 .0264 .0331 .0318 .0249 .0311 8 .0001 .0001 .0003 .0002 .0142 .0151 .0048 .0092 .0159 .0385 .0015 .0007 .0269 .0079 9 .0079 .0082 .0076 .0077 .0088 .0099 .0107 .0074 .0069 .0073 .0081 .0077 .0063 .0080 10 .0190 .0331 .0311 .0241 1 .0320 .0039 .0078 .0372 .0052 .0035 .0140 1.0000 .0443 .0216 .0174 .0081 1 .0454 .0020 .0023 .0050 .0039 .0029 .0143 .0348 .0347 .0346 .0122 1.0520 .0081 .0045 .0238 .0054 .0033 .0133 .0476 .0175 .1394 .0165 1.0158 .0065 .0029 .0091 .0034 .0029 .0130 1 .0000 .0140 .0233 .0267 .0830 1.0469 .0030 .0104 .0308 .0044 .0032 .0128 .0359 .0315 .0291 .0437 1 .0072 .0073 .0865 .0301 .0043 .0034 .0124 .0148 .0302 .0193 .0633 1 .0278 .0027 .0686 .1219 .0058 .0031 .0117 .0215 .0231 .0244 .0235 1 .0224 .0030 .0147 .0185 .0031 .0032 .0129 .0251 .0262 .0278 .0330 1 .0046 .0023 .0661 .0289 .0038 .0032 .0119 .0145 .0242 .0235 .0396 1.0049 .0030 .0762 .0278 .0042 .0032 .0113 .0179 .0299 .0319 .0513 1 .0245 .0038 .0182 .0311 .0044 .0041 .0141 .0222 .0303 .0338 .0165 1.0114 .0032 .1476 .0338 .0067 .0041 .0139 .0099 .0242 .0181 .0382 1.0265 .0025 .0979 .0168 .0039 .0026 .0106 .0145 11 .0301 12 .0205 13 .0201 14 1.0170 15 .0026 16 .0520 17 .0396 18 .0120 19 .0134 20 .0135 21 .0007 .0008 .0007 .0007 .0007 .0007 .0006 .0007 .0006 .0006 .0007 .0007 .0006 .0008 22 .0022 .0020 .0022 .0018 .0021 .0020 .0019 .0019 .0018 .0019 .0022 .0020 .0017 .0020 23 .0014 .0012 .0014 .0010 .0018 .0013 .0016 .0012 .0012 .0011 .0014 .0013 .0012 .0013 24 .0654 .0729 .0641 .0931 .0565 .0590 .0492 .0497 .0486 .0601 .0603 .0656 .0499 .0498 25 .0359 .0321 .0354 .0288 .0300 .0374 .0317 .0304 .0316 .0299 .0337 .0364 .0289 .0339 26 .0589 .0401 .0411 .0476 .0331 .0401 .0318 .0343 .0357 .0349 .0392 .0545 .0324 .0365 27 .1078 .1273 .1145 .1056 .1014 .0990 .0932 .0901 .0908 .0993 .0894 .1044 .0830 .1160 28 .0678 .0701 .0650 .0638 .0619 .0609 .0565 .0632 .0581 .0549 .0686 .0666 .0520 .0649 29 .0436 .0466 .0414 .0398 .0589 .0412 .0402 .0422 .0522 .0411 .0464 .0466 .0315 .0395 30 .0306 .0294 .0290 .0291 .0281 .0264 .0248 .0267 .0254 .0245 .0304 .0301 .0232 .0290 31 .1122 .1155 .1072 .1043 .1033 .1061 .1021 .1072 .0984 .0931 .1189 .1114 .0888 .1134 32 .0128 .0124 .0126 .0110 .0115 .0128 .0110 .0114 .0109 .0103 .0129 .0126 .0097 .0125 33 .0114 .0131 .0112 .0131 .0105 .0109 .0101 .0127 .0104 .0102 .0122 .0119 .0095 .0118 34 .0669 .0632 .0879 .0637 .0622 .0740 .0907 .0992 .1128 .0954 .0836 .0894 .0532 .0622 35 .0405 .0402 .0413 .0367 .0393 .0359 .0339 .0373 .0337 .0341 .0415 .0393 .0313 .0380 36 .0632 .0661 .0602 .0582 .0576 .0568 .0530 .0591 .0546 .0510 .0644 .0620 .0483 .0610 37 .0593 .0579 .0570 .0667 .0529 .0569 .0513 .0526 .0482 .0526 .0636 .0584 .0450 .0542 38 .6284 .6575 .5986 .5787 .5722 .5652 .5273 .5880 .5427 .5072 .6406 .6165 .4806 .6071 Total 2.0760 1.0000 2.0449 2.0849 2.1173 1.0000 2.0816 2.1086 2.1336 1.9834 2.0367 2.0400 2.0870 2.2039 1.9390 2.0492 24.0100 24.0400 24.0500 24.0701 24.0702 24.0703 24.0705 24.0706 24.0800 25.0000 26.0100 26.0200 26.0301 26.0302 26.0400 26.0501 1 1.0000 0.0131 .0001 .0001 .0002 .0204 .0272 .0001 .0067 1.0472 .0187 .0253 .0071 .0015 .0015 .0018 .0040 .0040 .0023 .0116 0.0068 .0001 .0001 .0113 .0139 .0005 .0037 1.0536 .0198 .0204 .0245 .0009 .0010 .0012 .0027 .0022 .0014 .0063 0.0124 .0001 .0002 .0004 .0177 .0249 .0002 .0054 1.0318 .0241 .0774 .0534 .0021 .0017 .0043 .0046 .0039 .0022 .0094 0.0109 .0001 .0002 .0003 .0186 .0222 .0003 .0054 1 .0389 .0198 .1043 .0347 .0013 .0015 .0022 .0041 .0036 .0023 .0097 0.0101 .0001 .0002 .0167 .0210 .0001 .0052 1 .0565 .0199 .0164 .0055 .0013 .0012 .0014 .0031 .0025 .0018 .0090 0.0103 .0001 .0002 .0175 .0215 .0003 .0054 1.0587 .0171 .0153 .0058 .0013 .0012 .0014 .0032 .0025 .0019 .0094 0.0111 .0001 .0002 .0003 .0181 .0228 .0001 .0056 1 .0455 .0219 .0365 .0162 .0015 .0014 .0017 .0038 .0037 .0021 .0098 0.0142 .0003 .0005 .0007 .0256 .0262 .0003 .0052 1.0106 .0161 .0295 .0272 .0089 .0018 .0037 .0096 .0038 .0022 .0092 0.0101 .0001 .0002 .0002 .0173 .0207 .0001 .0051 1 .0307 .0122 .0374 .0085 .0013 .0013 .0045 .0039 .0029 .0019 .0090 0.0137 .0001 .0002 .0210 .0288 .0001 .0070 .0117 1.0441 .0190 .0072 .0014 .0014 .0016 .0038 .0025 .0025 .0123 0.0138 .0001 .0003 .0194 .0287 .0001 .0069 .0124 1.2119 .0240 .0114 .0015 .0014 .0017 .0039 .0040 .0029 .0121 0.0115 .0001 .0002 .0165 .0238 .0003 .0058 .0177 1 .2050 .0180 .0093 .0012 .0012 .0015 .0033 .0028 .0021 .0101 0.0169 .0001 .0002 .0003 .0233 .0339 .0004 .0079 .0206 1.0764 .0403 .0326 .0016 .0017 .0022 .0047 .0054 .0029 .0138 0.0123 .0001 .0002 .0167 .0258 .0002 .0062 .0129 1.1443 .0226 .0271 .0013 .0013 .0016 .0038 .0039 .0023 .0109 0.0151 2 3 4 5 6 7 8 .0001 .0002 .0003 .0214 .0313 .0002 9 10 .0076 .0218 11 1 .0798 12 .0525 13 .0323 14 .0016 15 .0017 16 .0021 17 .0049 18 .0051 19 .0028 20 .0133 21 22 23 24 25 26 27 28 29 30 .0006 .0017 .0010 .0638 .0287 .0340 .0844 .0568 .0334 .0260 .0003 .0013 .0007 .0480 .0184 .0220 .0543 .0301 .0207 .0163 .0005 .0018 .0009 .0738 .0248 .0352 .0867 .0455 .0291 .0219 .0005 .0015 .0009 .0812 .0235 .0417 .0645 .0469 .0291 .0224 .0005 .0013 .0008 .0664 .0228 .0255 .0663 .0440 .0258 .0197 .0005 .0014 .0008 .0623 .0227 .0284 .0719 .0454 .0268 .0214 .0005 .0015 .0009 .0650 .0251 .0383 .0940 .0478 .0295 .0226 .0005 .0013 .0008 .0716 .0215 .0791 .0773 .0444 .0299 .0229 .0005 .0012 .0007 .0647 .0207 .0299 .0663 .0440 .0256 .0203 .0006 .0024 .0011 .0650 .0306 .0273 .0482 .0603 .0363 .0256 .0006 .0028 .0015 .0945 .0375 .0257 .0588 .0587 .0445 .0273 .0005 .0019 .0012 .0620 .0305 .0217 .0795 .0487 .0374 .0227 .0007 .0043 .0013 .0678 .0318 .0372 .0645 .0666 .0423 .0289 .0006 .0021 .0012 .0500 .0286 .0229 .0614 .0526 .0361 .0249 .0007 .0039 .0012 .0690 .0294 .0355 .0758 .0648 .0403 .0295 31 32 33 34 35 .0947 .0118 .0104 .0531 .0332 .0531 .0494 .5277 .0505 .0080 .0054 .0321 .0169 .0271 .0326 .2696 .0745 .0105 .0081 .0476 .0268 .0416 .0416 .4138 .0765 .0102 .0138 .0457 .0266 .0428 .0447 .4256 .0739 .0095 .0076 .0398 .0249 .0411 .0372 .4086 .0756 .0100 .0080 .0416 .0255 .0420 .0405 .4175 .0816 .0111 .0087 .0582 .0284 .0440 .0476 .4373 .0695 .0083 .0087 .0454 .0245 .0395 .0553 .3928 .0718 .0074 .0075 .0401 .0249 .0403 .0404 .4013 .1030 .0107 .0101 .0858 .0359 .0566 .0514 .5635 .1219 .0146 .0123 .1600 .0379 .0550 .0545 .5466 .1072 .0125 .0086 .0612 .0311 .0456 .0441 .4535 .1186 .0119 .0120 .0635 .0408 .0631 .0545 .6272 .0919 .0131 .0093 .0637 .0362 .0485 .0522 .4828 .1088 .0140 .0109 .0646 .0408 36 37 .0601 0611 38 .5977 Total 1.0000 1.8287 1.5551 1.8472 1.8530 1.6793 1.6982 1.8068 1.7960 1.6738 1.8296 2.1646 1.9467 1.9951 1.8887 2.0044 Note. — The column industries are identified in appendix B, and the row industries are iden- tified in appendix C. Each entry measures the change in output in each row industry that results from a $1 change in output delivered to final demand by the column industry. Each column total is the sum of the entries in rows 1-37; these entries include earnings paid to households employed in industries 1-37. Each column total excludes the entry in row 38; this entry is the sum of earnings paid to households. Column entries may not sum to totals due to rounding. 44 REGIONAL MULTIPLIERS Table 1.1 — Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area — Continued [Dollars] 26.0601 26.0602 26.0700 26.0802 26.0803 26.0806 27.0100 27.0201 27.0202 27.0300 27.0401 27.0402 27.0403 27.0404 27.0405 27.0406 1 .... 2 .... 3 .... 4 .... 5 .... 6 .... 7 .... 8 .... 9 .... 10 .... 11 .... 12 .... 13.... 14 .... 15 .... 16 .... 17 .... 18 .... 19 .... 20 .... 21 .... 22 .... 23 .... 24 .... 25 .... 26 .... 27 .... 28 .... 29 .... 30 .... 31 .... 32 .... 33 .... 34 .... 35 .... 36 .... 37 .... 38 .... Total 0.0103 .0001 .0002 .0167 .0214 .0001 .0052 .0282 1.0376 .0259 .0067 .0012 .0012 .0014 .0032 .0029 .0020 .0092 .0005 .0015 .0008 .0567 .0239 .0270 .0679 .0447 .0296 .0205 .0746 .0100 .0079 .0615 .0270 .0414 .0405 .4115 1.7095 0.0147 .0001 .0002 .0003 .0218 .0307 .0036 .0075 .0289 1.1022 .0245 .0388 .0017 .0017 .0044 .0120 .0045 .0027 .0131 .0007 .0020 .0013 .0512 .0309 .0321 .0638 .0636 .0374 .0299 .1064 .0130 .0109 .0634 .0394 .0596 .0548 .5932 1.9735 0.0110 .0001 .0002 .0153 .0233 .0001 .0056 .0200 1.1756 .0203 .0196 .0013 .0012 .0015 .0034 .0040 .0021 .0098 .0005 .0016 .0012 .0413 .0267 .0240 .0808 .0474 .0327 .0219 .0802 .0118 .0087 .0590 .0312 .0442 .0479 .4397 1.8757 0.0204 .0001 .0002 .0004 .0287 .0428 .0092 .0104 .0217 1.0376 .0604 .0198 .0020 .0022 .0036 .0077 .0063 .0035 .0177 .0009 .0027 .0016 .0620 .0384 .0426 .0630 .0866 .0490 .0366 .1505 .0172 .0153 .0864 .0550 .0822 .0682 .8174 2.1528 0.0196 .0001 .0002 .0003 .0263 .0415 .0001 .0101 .0094 1 .0505 .0217 .0138 .0019 .0020 .0066 .0056 .0168 .0038 .0175 .0009 .0101 .0017 .0520 .0401 .0377 .0733 .0852 .0509 .0373 .1449 .0179 .0151 .0869 .0543 .0802 .0754 .7976 2.1115 0.0197 .0001 .0002 .0003 .0265 .0414 .0001 .0102 .0097 1.1429 .0203 .0133 .0019 .0022 .0026 .0056 .0037 .0037 .0180 .0009 .0138 .0021 .0610 .0403 .0456 .0790 .0870 .0518 .0391 .1468 .0183 .0152 .0809 .0513 .0814 .0780 .8102 2.2151 0.0100 .0002 .0011 .0023 .0247 .0205 .0001 .0047 .0123 .0192 1.0543 .0184 .0013 .0020 .0048 .0104 .0044 .0021 .0082 .0005 .0014 .0008 .0582 .0229 .0809 .0639 .0409 .0272 .0198 .0704 .0080 .0073 .0777 .0246 .0375 .0424 .3725 1.7851 0.0143 .0002 .0058 .0360 .0362 .0271 .0001 .0065 .0087 .0173 1.3697 .0176 .0019 .0023 .0033 .0066 .0042 .0030 .0119 .0007 .0017 .0010 .2479 .0296 .1470 .1065 .0605 .0392 .0289 .0957 .0103 .0099 .0680 .0323 .0521 .0654 .5186 2.5692 0.0140 .0001 .0014 .0089 .0268 .0285 .0001 .0065 .0309 .0164 1.3412 .0147 .0016 .0019 .0026 .0050 .0041 .0026 .0111 .0006 .0016 .0009 .1255 .0376 .0626 .1036 .0550 .0346 .0244 .0917 .0096 .0093 .0678 .0304 .0501 .0498 .4982 2.2734 0.0179 .0001 .0003 .0028 .0190 .0355 .0001 .0050 .0151 .0620 1.0478 .0147 .0013 .0025 .0035 .0120 .0030 .0021 .0091 .0005 .0015 .0011 .0694 .0295 .0471 .0935 .0434 .0633 .0227 .0756 .0091 .0078 .0992 .0263 .0397 .0418 .3949 1.9254 1.0000 1.0000 0.0167 .0001 .0003 .0014 .0205 .0312 .0001 .0054 .0263 .0165 1 .0994 .0111 .0013 .0017 .0055 .0186 .0028 .0021 .0095 .0005 .0014 .0008 .0913 .0248 .0378 .0691 .0469 .0279 .0210 .0784 .0085 .0079 .0619 .0267 .0430 .0388 .4278 1.8573 0.0203 .0001 .0007 .0021 .0361 .0425 .0001 .0105 .0155 .0218 1.1222 .0134 .0026 .0026 .0028 .0061 .0065 .0037 .0182 .0010 .0023 .0013 .0663 .0428 .0690 .0651 .0897 .0478 .0361 .1442 .0150 .0144 .0874 .0492 .0851 .0669 .8465 2.2113 0.0131 .0001 .0003 .0012 .0219 .0273 .0001 .0053 .0052 .0137 1.1464 .0087 .0013 .0018 .0045 .0155 .0020 .0022 .0092 .0005 .0015 .0007 .0676 .0227 .0301 .0737 .0457 .0261 .0193 .0772 .0080 .0075 .0495 .0256 .0425 .0359 .4226 1.8137 1.0000 1.0000 0.0272 .0001 .0004 .0054 .0235 .0560 .0001 .0061 .0216 .0209 1.0885 .0164 .0022 .0024 .0048 .0133 .0027 .0023 .0104 .0006 .0015 .0009 .0699 .0271 .0468 .0869 .0519 .0343 .0231 .0865 .0094 .0086 .0631 .0293 .0478 .0446 .4747 1.9566 28.0100 28.0200 28.0300 28.0400 29.0100 29.0201 29.0202 29.0203 29.0300 30.0000 31.0101 31.0102 31.0103 31.0200 31.0300 32.0100 1 .... 2 .... 3 .... 4 .... 5 .... 6 .... 7 .... 8 .... 9 .... 10 .... 11 .... 12 .... 13 .... 14 .... 15 .... 16 .... 17 .... 18 .... 19 .... 20 .... 21 .... 22 .... 23 .... 24 .... 25 .... 26 .... 27 .... 28 ... 29 ... 30 .... 31 .... 32 ... 33 ... 34 ... 35 ... 36 ... 37 ... 38 ... Total 0.0108 .0001 .0005 .0017 .0194 .0214 .0001 .0044 .0147 .0184 1.0928 .0621 .0012 .0019 .0020 .0045 .0043 .0021 .0077 .0004 .0015 .0008 .0596 .0217 .0600 .0733 .0372 .0253 .0185 .0641 .0072 .0094 .0856 .0217 .0342 .0388 .3399 1.8294 1.0000 1.0000 1.0000 1.0000 1 .0000 1.0000 0.0140 .0001 .0002 .0003 .0187 .0265 .0001 .0059 .0182 .0254 1.1088 .0260 .0013 .0016 .0025 .0075 .0024 .0025 .0103 .0005 .0020 .0010 .0347 .0279 .0313 .0750 .0504 .0345 .0218 .0890 .0095 .0099 .1260 .0296 .0476 .0466 .4728 1.9094 0.0146 .0001 .0002 .0008 .0159 .0316 .0001 .0046 .0570 .0485 1.0659 .0546 .0012 .0016 .0028 .0068 .0067 .0020 .0080 .0004 .0014 .0011 .0529 .0256 .0305 .0949 .0391 .0258 .0189 .0676 .0084 .0070 .0500 .0235 .0364 .0355 .3615 1.8418 0.0113 .0002 .0005 .0158 .0213 .0001 .0047 .0389 .0318 1 .0678 .0558 .0013 .0015 .0110 .0476 .0029 .0021 .0082 .0004 .0015 .0010 .0508 .0253 .0263 .0717 .0400 .0255 .0188 .0690 .0083 .0095 .0527 .0241 .0372 .0356 .3702 1.8208 0.0172 .0001 .0006 .0012 .0176 .0365 .0001 .0045 .0187 .0170 1.0990 .0401 .0012 .0014 .0046 .0183 .0024 .0018 .0079 .0004 .0013 .0008 .0562 .0208 .0530 .0775 .0387 .0245 .0179 .0642 .0073 .0069 .0422 .0214 .0357 .0364 .3551 1.7951 0.0143 .0001 .0003 .0143 .0308 .0001 .0047 .0382 .0313 1.0308 .0653 .0012 .0017 .0058 .0236 .0025 .0020 .0082 .0004 .0014 .0010 .0417 .0269 .0240 .0713 .0396 .0259 .0187 .0700 .0085 .0070 .0641 .0239 .0371 .0346 .3688 1.7717 0.0156 .0003 .0013 .0183 .0290 .0001 .0049 .0047 .0166 1.1089 .0089 .0011 .0051 .0105 .0372 .0019 .0020 .0086 .0005 .0013 .0007 .0701 .0222 .0296 .0604 .0423 .0249 .0183 .0715 .0077 .0070 .0433 .0238 .0393 .0343 .3907 1.7722 0.0038 .0138 .0002 .0159 .0078 .0021 .0022 .0062 1.0084 .0045 .0008 .0009 .0013 .0030 .0014 .0011 .0033 .0002 .0005 .0003 .0596 .0094 .0299 .0548 .0165 .0213 .0111 .0339 .0034 .0032 .0280 .0096 .0149 .0175 .1485 1.3911 0.0137 .0004 .0005 .0169 .0291 .0001 .0049 .0248 .0199 1.0488 .0440 .0014 .0015 .0103 .0405 .0025 .0021 .0140 .0005 .0013 .0009 .0551 .0256 .0270 .1077 .0413 .0301 .0190 .0713 .0081 .0073 .0438 .0235 .0385 .0345 .3823 1.8109 1.0000 1.0000 0.0105 .0001 .0006 .0207 .0166 .0214 .0001 .0053 .0192 .0181 1.0497 .0222 .0063 .0102 .0019 .0058 .0021 .0020 .0094 .0005 .0013 .0009 .0638 .0254 .0439 .1036 .0460 .0296 .0205 .0768 .0087 .0083 .0487 .0253 .0422 .0399 .4201 1.8079 0.0108 .0001 .0007 .0047 .0185 .0224 .0004 .0056 .0187 .0195 1.0151 .0203 .0020 .0370 .0023 .0058 .0021 .0022 .0098 .0005 .0015 .0009 .0539 .0285 .0478 .1233 .0473 .0316 .0215 .0793 .0092 .0086 .0521 .0270 .0441 .0425 .4389 1.8179 0.0112 .0001 .0002 .0006 .0176 .0229 .0001 .0057 .0072 .0223 .0277 1.0186 .0012 .0016 .0095 .0168 .0030 .0022 .0100 .0005 .0015 .0010 .0759 .0255 .0408 .0805 .0490 .0337 .0226 .0791 .0092 .0082 .0637 .0266 .0448 .0463 .4456 1.7874 Note. — The column industries are identified In appendix B, and the row industries are iden- tified in appendix C. Each entry measures the change in output in each row industry that results from a $1 change in output delivered to final demand by the column industry. Each column total is the sum of the entries In rows 1-37; these entries Include earnings paid to households employed in industries 1-37. Each column total excludes the entry In row 38; this entry Is the sum of earnings paid to households. Column entries may not sum to totals due to rounding. REGIONAL MULTIPLIERS 45 Table 1.1— Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area— Continued [Dollars] 32.0200 32.0300 32.0400 32.0500 32.0600 33.0001 34.0100 34.0201 34.0202 34.0301 34.0302 34.0303 34.0304 34.0305 35.0100 35.0200 1 0.0147 0.0126 0.0127 0.0149 0.5809 0.1168 0.1116 0.1608 0.0402 0.0772 0.0913 0.0130 2 3 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 4 .0003 .0003 .0003 .0003 .0003 .0002 .0002 .0003 .0001 .0002 .0002 .0006 5 .0006 .0006 .0004 .0005 .0018 .0005 .0005 .0006 .0003 .0004 .0005 .0025 6 .0246 .0228 .0218 .0250 .0344 .0240 .0231 .0248 .0173 .0236 .0231 .0283 7 .0300 .0256 .0265 .0309 .5520 .1238 .1200 .1681 .0508 .0895 .1015 .0267 8 .0005 .0003 .0017 .0001 .0001 .0011 .0111 .0009 .0203 .0196 .0047 .0001 g 1.0000 .0074 .0248 .0296 .0380 1.0340 .0016 .0051 .0151 .0302 .0071 .0031 .0131 .0064 .0231 .0176 .1184 1 .0620 .0019 .0056 .0036 .0111 .0066 .0041 .0107 .0068 .0159 .0236 .0302 1 .0362 .0015 .0019 .0124 .0102 .0043 .0026 .0112 .0076 .0243 .0267 .0315 1.0773 .0038 .0067 .0107 .0155 .0075 .0032 .0132 .0087 .0172 .0289 .0576 1.0675 .0022 .0024 .0031 .0072 .0055 .0042 .0152 .0072 .0147 .0194 .0298 1.1910 .0091 .0018 .0020 .0053 .0037 .0026 .0121 .0079 .0204 .0313 .0353 1.2148 .0022 .0018 .0023 .0057 .0039 .0029 .0133 1.0000 .0083 .0320 .0311 .0319 1.2631 .0017 .0018 .0022 .0049 .0044 .0031 .0139 .0067 .0092 .0162 .0195 1.0699 .0052 .0014 .0029 .0218 .0022 .0026 .0105 1 .0000 .0088 .0138 .0254 .0434 1.1320 .0018 .0019 .0032 .0116 .0037 .0030 .0139 .0076 .0165 .0224 .0384 1.1805 .0080 .0019 .0046 .0268 .0039 .0031 .0129 .0067 .0230 .0268 .0331 .0175 .0136 1.0502 .0031 .0078 .0054 .0030 .0116 10 11 12 13 14 15 1.0000 16 17 18 19 20 21 .0007 .0006 .0006 .0007 .0008 .0006 .0007 .0007 .0006 .0007 .0007 .0006 22 .0021 .0018 .0021 .0021 .0021 .0018 .0021 .0020 .0017 .0021 .0018 .0020 23 .0013 .0010 .0011 .0013 .0013 .0010 .0020 .0012 .0013 .0014 .0025 .0012 24 .0759 .0766 .0573 .0670 .0979 .0589 .0609 .1230 .0367 .0601 .0522 .0655 25 .0328 .0264 .0302 .0331 .0382 .0276 .0358 .0355 .0244 .0347 .0306 .0377 26 .0553 .0499 .0480 .0483 .0513 .0360 .0353 .0462 .0269 .0368 .0358 .0724 27 .0817 .0900 .0817 .0856 .1733 .0825 .0923 .1071 .0735 .0767 .0859 .0855 28 .0630 .0527 .0550 .0640 .0739 .0591 .0651 .0677 .0514 .0679 .0629 .0563 29 .0421 .0337 .0387 .0421 .0514 .0351 .0455 .0459 .0347 .0447 .0390 .0367 30 .0300 .0245 .0256 .0300 .0405 .0268 .0296 .0334 .0219 .0303 .0278 .0250 31 .1031 .0898 .0922 .1080 .1511 .1025 .1143 .1199 .0870 .1194 .1120 .0924 32 .0117 .0092 .0099 .0121 .0194 .0115 .0134 .0281 .0122 .0197 .0180 .0109 33 .0111 .0105 .0107 .0116 .0150 .0119 .0122 .0166 .0091 .0123 .0118 .0100 34 .0772 .0581 .0620 .0686 .0751 .0503 .0672 .0723 .0471 .0868 .0695 .0564 35 .0366 .0310 .0319 .0402 .0413 .0344 .0385 .0452 .0293 .0421 .0385 .0323 36 .0576 .0487 .0515 .0598 .0717 .0564 .0622 .0645 .0491 .0647 .0599 .0521 37 .0617 .0494 .0487 .0555 .0671 .0491 .0517 .0603 .0392 .0533 .0499 .0532 38 .5725 .4842 .5125 .5945 .6730 .5535 .6115 .6311 .4861 .6387 .5908 .5187 Total 1.0000 2.0238 1.9872 1.8676 2.0298 3.3606 2.2107 2.3370 1.0000 2.6237 1.8431 1.0000 2.2266 2.2466 1.9633 1.0000 36.0100 36.0200 36.0300 36.0400 36.0500 36.0600 36.0701 36.0702 36.0800 36.0900 36.1000 36.1100 36.1200 36.1300 36.1400 36.1500 1 0.0113 .0020 .0007 .0165 .0440 .0233 .0001 .0056 .0209 .0185 .0394 .0085 .0025 1.0359 .0034 .0127 .0037 .0029 .0101 .0006 .0014 .0011 .1127 .0279 .1496 .0664 .0501 .0445 .0249 .0807 .0090 .0097 .0559 .0276 .0445 .0604 .4424 2.0291 0.0144 .0002 .0013 .0011 .0349 .0290 .0001 .0072 .0057 .0150 .0235 .0066 .0025 1.0046 .0027 .0081 .0050 .0029 .0126 .0007 .0016 .0010 .0952 .0358 .1250 .0437 .0628 .0368 .0267 .0967 .0101 .0115 .0535 .0360 .0568 .0582 .5646 1.9292 1.0000 1.0000 0.0142 .0001 .0006 .0005 .0247 .0265 .0001 .0065 .0064 .0151 .0175 .0060 .0044 1.0104 .0019 .0046 .0032 .0026 .0124 .0006 .0015 .0009 .2454 .0336 .0684 .0401 .0623 .0351 .0277 .0922 .0095 .0102 .0483 .0325 .0519 .0678 .5165 1.9858 0.0161 .0001 .0008 .0013 .0382 .0322 .0001 .0080 .0051 .0165 .0238 .0074 .0024 1.0256 .0025 .0058 .0038 .0032 .0145 .0007 .0017 .0010 .1335 .0385 .0921 .0503 .0716 .0394 .0315 .1098 .0113 .0145 .0558 .0382 .0642 .0780 .6383 2.0394 0.0156 .0001 .0004 .0015 .0262 .0316 .0001 .0080 .0205 .0185 .0181 .0079 .0019 1.0665 .0112 .0621 .0043 .0033 .0138 .0007 .0020 .0012 .1213 .0381 .0567 .0732 .0685 .0376 .0280 .1084 .0114 .0114 .0530 .0366 .0631 .0546 .6278 2.0773 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0.0182 .0001 .0003 .0004 .0302 .0364 .0001 .0090 .0095 .0195 .0256 .0089 .0019 1.0063 .0073 .0331 .0046 .0035 .0170 .0008 .0021 .0012 .1659 .0489 .0764 .0564 .0796 .0422 .0349 .1285 .0128 .0134 .0559 .0422 .0724 .0611 .7200 2.1264 0.0146 .0003 .0004 .0487 .0332 .0294 .0001 .0073 .0077 .0320 .0213 .0076 .0020 1.1176 .0080 .0079 .0037 .0031 .0127 .0007 .0021 .0013 .1224 .0426 .0601 .0649 .0634 .0518 .0300 .1023 .0118 .0134 .0707 .0363 .0568 .0582 .5646 2.1464 0.0156 .0002 .0003 .0194 .0298 .0321 .0001 .0078 .0104 .0403 .0277 .0097 .0035 1.0915 .0369 .0196 .0044 .0034 .0138 .0007 .0020 .0018 .0865 .0476 .0487 .0706 .0682 .0517 .0315 .1130 .0130 .0127 .0828 .0399 .0624 .0623 .6209 2.1619 0.0137 .0003 .0002 .0575 .0281 .0273 .0001 .0068 .0076 .0279 .0339 .0073 .0018 1.1648 .0026 .0072 .0033 .0028 .0118 .0006 .0016 .0012 .1444 .0369 .0492 .0725 .0595 .0383 .0275 .0966 .0111 .0109 .0616 .0329 .0529 .0549 .5266 2.1576 1.0000 1.0000 0.0116 .0002 .0007 .0171 .0301 .0219 .0001 .0054 .0130 .0190 .0207 .0097 .0015 1.0849 .0028 .0062 .0033 .0032 .0098 .0006 .0013 .0009 .2242 .0278 .0809 .0613 .0501 .0308 .0221 .0765 .0089 .0083 .0475 .0264 .0428 .0484 .4254 2.0198 0.0169 2 3 4 5 6 7 8 .0001 .0002 .1294 .0297 .0355 .0001 9 .0089 10 .0159 11 .0238 12 .0240 13 .0124 14 .0023 15 1 .0257 16 .0033 17 .0101 18 .0068 19 .0035 20 .0150 21 22 .0008 .0022 23 .0013 24 25 26 27 28 29 30 .0617 .0435 .0578 .1249 .0733 .0472 .0314 31 .1227 32 .0139 33 .0132 34 .0700 35 .0436 36 .0693 37 .0596 38 .6897 Total 2.2001 NOTE. — The column Industries are Identified In appendix B, and the row industries are iden- sum of the entries In rows 1-37; these entries include earnings paid to households employed tified in appendix C. in industries 1-37. Each column total excludes the entry in row 38; this entry is the sum of Each entry measures the change in output in each row industry that results from a $1 earnings paid to households. Column entries may not sum to totals due to rounding, change in output delivered to final demand by the column industry. Each column total is the 46 REGIONAL MULTIPLIERS Table 1.1— Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area— Continued [Dollars] 36.1600 36.1700 36.1900 36.2000 36.2100 36.2200 37.0101 37.0102 37.0103 37.0104 37.0105 37.0200 37.0300 37.0401 37.0402 38.0100 1 ... 2 ... 3 ... 4 ... 5 ... 6 ... 7 ... 8 ... 9 ... 10 ... 11 ... 12 ... 13 ... 14 ... 15 ... 16 ... 17 ... 18 ... 19 ... 20 ... 21 ... 22 ... 23 ... 24 ... 25 ... 26 ... 27 ... 28 ... 29 ... 30 ... 31 .... 32 ... 33 ... 34 .... 35 .... 36 .... 37 ... 38 ... Total 0.0106 .0001 .0003 .0013 .0188 .0219 .0009 .0053 .0245 .0223 .0453 .0126 .0012 1.0111 .0018 .0036 .0038 .0021 .0091 .0005 .0014 .0009 .0593 .0309 .0379 .0600 .0446 .0313 .0212 .0761 .0086 .0083 .0518 .0266 .0415 .0399 .4124 1.7373 1.0000 1.0000 0.0133 .0001 .0004 .0162 .0255 .0244 .0001 .0060 .0121 .0186 .0133 .0064 .0014 1.0221 .0044 .0042 .0035 .0025 .0109 .0006 .0014 .0009 .2702 .0314 .0700 .0400 .0569 .0364 .0252 .0887 .0094 .0089 .0554 .0299 .0479 .0536 .4769 2.0120 0.0142 .0002 .0009 .0046 .0273 .0290 .0002 .0064 .0218 .0224 .0440 .0233 .0018 1 .0372 .0081 .0078 .0043 .0026 .0108 .0006 .0017 .0010 .0771 .0314 .1098 .0765 .0528 .0365 .0249 .0876 .0099 .0096 .0602 .0312 .0486 .0511 .4833 1.9772 1.0000 1.0000 0.0135 .0001 .0005 .0071 .0263 .0277 .0001 .0067 .0129 .0195 .0198 .0088 .0018 1.0596 .0031 .0114 .0035 .0027 .0121 .0006 .0015 .0011 .0989 .0360 .0708 .0751 .0588 .0368 .0272 .1015 .0103 .0100 .0570 .0340 .0539 .0560 .5361 1.9666 0.0118 .0010 .0007 .0024 .0493 .0241 .0001 .0060 .0062 .0362 .0195 .0082 .0029 .0057 1.0706 .0172 .0101 .0035 .0105 .0006 .0016 .0013 .0791 .0331 .0988 .1107 .0519 .0342 .0247 .0835 .0104 .0098 .0718 .0295 .0471 .0550 .4687 2.0291 1.0000 1.0000 0.0130 .0003 .0004 .0009 .0348 .0269 .0001 .0065 .0081 .0200 .0309 .0093 .0022 .0030 1.2319 .0123 .0451 .0037 .0118 .0006 .0017 .0010 .0676 .0284 .0626 .1198 .0566 .0346 .0253 .0926 .0101 .0100 .0606 .0314 .0522 .0501 .5192 2.1661 0.0107 .0003 .0005 .0009 .0302 .0220 .0001 .0054 .0072 .0212 .0232 .0084 .0024 .0027 1 .2957 .0300 .0221 .0045 .0097 .0005 .0015 .0009 .0719 .0269 .0701 .1341 .0464 .0335 .0229 .0752 .0089 .0086 .0599 .0267 .0423 .0443 .4207 2.1717 1.0000 1.0000 0.0167 .0002 .0004 .0025 .0438 .0348 .0001 .0088 .0065 .0338 .0164 .0125 .0027 .0055 1.0231 .0148 .0131 .0037 .0151 .0008 .0022 .0014 .0622 .0392 .0854 .0837 .0735 .0428 .0324 .1168 .0133 .0138 .0981 .0407 .0688 .0620 .6843 2.0917 0.0144 .0002 .0007 .0006 .0314 .0300 .0001 .0075 .0094 .0288 .0161 .0153 .0020 .0027 1.1932 .0250 .0133 .0035 .0130 .0007 .0019 .0012 .0642 .0333 .0880 .1010 .0636 .0382 .0269 .1016 .0116 .0119 .0666 .0360 .0594 .0551 .5906 2.1685 0.0155 .0003 .0006 .0006 .0292 .0323 .0001 .0078 .0069 .0186 .0678 .0079 .0017 .0022 1.0218 .0075 .0064 .0028 .0133 .0007 .0020 .0011 .0524 .0293 .0834 .0631 .0656 .0392 .0267 .1098 .0111 .0114 .0631 .0362 .0616 .0547 .6124 1.9544 1.0000 1.0000 1 .0000 1.0000 38.0400 38.0501 38.0600 38.0700 38.0800 38.0900 38.1000 38.1100 38.1200 38.1300 38.1400 39.0100 39.0200 40.0100 40.0200 40.0300 1 .... 2 .... 3 .... 4 .... 5 .... 6 .... 7 .... 8 .... 9 .... 10 .... 11 .... 12 .... 13 .... 14 .... 15 .... 16 .... 17 .... 18 .... 19 .... 20 .... 21 .... 22 .... 23 .... 24 .... 25 .... 26 .... 27 .... 28 .... 29 .... 30 .... 31 .... 32 .... 33 .... 34 .... 35 .... 36 .... 37 .... 38 .... Total 0.0096 .0005 .0004 .0007 .0399 .0192 .0001 .0047 .0037 .0109 .0162 .0099 .0015 .0024 1.0658 .0049 .0048 .0026 .0083 .0005 .0012 .0007 .0888 .0178 .2524 .0432 .0418 .0349 .0205 .0655 .0073 .0073 .0473 .0226 .0375 .0641 .3727 1.9590 1.0000 1.0000 0.0100 .0001 .0007 .0004 .0186 .0192 .0001 .0047 .0065 .0138 .0202 .0298 .0014 .0016 1.0220 .0052 .0168 .0022 .0087 .0004 .0014 .0008 .1345 .0224 .0673 .1764 .0423 .0320 .0234 .0682 .0077 .0087 .0585 .0251 .0363 .0436 .3613 1.9308 1.0000 1.0000 0.0091 .0001 .0004 .0003 .0188 .0181 .0001 .0045 .0049 .0127 .0109 .0117 .0013 .0014 1.1553 .0088 .0113 .0020 .0082 .0004 .0011 .0007 .0834 .0194 .0507 .1098 .0401 .0251 .0190 .0630 .0075 .0071 .0415 .0222 .0355 .0421 .3533 1.8484 1.0000 1.0000 0.0104 .0001 .0002 .0004 .0196 .0210 .0002 .0052 .0091 .0239 .0495 .0349 .0103 .0054 1.0519 .0234 .0116 .0034 .0091 .0005 .0015 .0010 .0569 .0254 .0397 .0978 .0436 .0323 .0209 .0746 .0085 .0082 .0540 .0262 .0402 .0391 .4000 1.8598 0.0154 .0001 .0007 .0009 .0307 .0319 .0001 .0079 .0106 .0273 .0145 .0089 .0017 .0050 1.0778 .0055 .0136 .0031 .0139 .0007 .0020 .0013 .0564 .0374 .0811 .0642 .0677 .0473 .0315 .1148 .0123 .0233 .0730 .0393 .0627 .0643 .6234 2.0489 0.0144 .0001 .0003 .0016 .0300 .0301 .0001 .0076 .0124 .0285 .0194 .0092 .0016 .0037 1.0367 .0051 .0104 .0028 .0130 .0007 .0020 .0012 .0540 .0336 .0618 .0611 .0633 .0379 .0367 .1097 .0128 .0116 .0670 .0374 .0591 .0611 .5881 1.9379 0.0152 .0001 .0004 .0007 .0296 .0320 .0001 .0080 .0153 .0313 .0209 .0104 .0018 .0149 1.0484 .0268 .0227 .0033 .0140 .0007 .0023 .0013 .0573 .0353 .0590 .0930 .0677 .0504 .0311 .1154 .0150 .0123 .0732 .0393 .0620 .0700 .6167 2.0811 1.0000 1.0000 0.0105 .0002 .0003 .0005 .0224 .0215 .0001 .0053 .0079 .0478 .0305 .0087 .0021 .0020 .2879 1.0294 .0061 .0027 .0094 .0005 .0014 .0011 .0674 .0266 .0481 .1171 .0457 .0305 .0217 .0774 .0095 .0082 .0524 .0262 .0419 .0434 .4168 2.1144 0.0141 .0002 .0005 .0007 .0304 .0290 .0001 .0072 .0095 .0310 .0368 .0099 .0022 .0032 .2537 1.0631 .0123 .0038 .0128 .0007 .0017 .0013 .0824 .0353 .0669 .1415 .0618 .0412 .0307 .1025 .0125 .0119 .0700 .0373 .0563 .0644 .5598 2.3393 0.0140 .0001 .0005 .0016 .0284 .0291 .0001 .0072 .0298 .0218 .0356 .0124 .0020 .0033 .1006 1.0469 .0119 .0032 .0124 .0007 .0017 .0012 .0579 .0289 .0641 .0838 .0598 .0407 .0279 .0983 .0105 .0115 .0608 .0360 .0562 .0517 .5590 2.0527 0.0104 .0001 .0002 .0004 .0215 .0218 .0001 .0053 .0203 .0207 .0289 .0321 .0016 .0027 .0397 1.0907 .0115 .0026 .0091 .0005 .0016 .0009 .0403 .0238 .0328 .0639 .0443 .0326 .0216 .0811 .0081 .0085 .0524 .0286 .0412 .0381 .4094 1.8402 0.0125 .0001 .0002 .0004 .0233 .0263 .0001 .0065 .0165 .0216 .0154 .0100 .0026 .0024 .0887 1.0303 .0291 .0111 .0114 .0007 .0019 .0028 .0478 .0293 .0364 .0935 .0548 .0377 .0254 .0915 .0099 .0101 .0578 .0329 .0513 .0469 .5104 1.9393 Note.— The column industries are identified in appendix B, and the row industries are iden- sum of the entries in rows 1-37; these entries include earnings paid to households employed tified in appendix C. in industries 1-37. Each column total excludes the entry In row 38; this entry is the sum of Each entry measures the change in output in each row industry that results from a $1 earnings paid to households. Column entries may not sum to totals due to rounding, change in output delivered to final demand by the column industry. Each column total is the REGIONAL MULTIPLIERS 47 Table 1.1— Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area— Continued [Dollars] 40.0400 40.0500 40.0600 40.0700 40.0800 40.0901 40.0902 41.0100 41.0201 41 .0202 41.0203 42.0100 42.0201 42.0202 42.0300 42.0401 1 0.0144 0.0135 0.0161 0.0143 0.0144 0.0124 0.0128 0.0158 0.0158 0.0148 0.0126 0.0148 0.0148 0.0146 0.0184 2 3 .0002 .0001 .0002 .0002 .0002 .0002 .0003 .0001 .0002 .0002 .0001 .0001 .0002 .0001 .0001 4 .0003 .0003 .0003 .0003 .0002 .0003 .0003 .0003 .0003 .0003 .0002 .0003 .0003 .0002 .0004 5 .0007 .0005 .0007 .0006 .0006 .0007 .0007 .0005 .0007 .0008 .0004 .0004 .0005 .0007 .0008 6 .0352 .0342 .0397 .0355 .0396 .0319 .0295 .0271 .0319 .0472 .0227 .0260 .0283 .0583 0406 7 .0296 .0280 .0333 .0294 .0299 .0255 .0265 .0331 .0327 .0304 .0265 .0307 .0307 .0300 .0383 8 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0002 .0001 .0001 .0001 .0001 .0001 .0001 9 .0073 .0069 .0082 .0072 .0074 .0063 .0066 .0082 .0106 .0075 .0066 .0076 .0076 .0074 .0089 10 .0067 .0206 .0209 .0145 .0127 .0299 .0157 .0151 .0085 .0224 .0200 .0137 .0120 .0215 .0250 .0172 .0243 .0192 .0238 .0357 .0061 .0192 .0236 .0087 .0092 .0221 .0190 .0081 .0097 .0332 .0166 .0095 .0093 .0236 .0198 .0114 .0136 .0206 .0304 .0106 .0257 .0397 .0202 .0197 .0164 .0351 .0176 .0152 .0143 .0249 .0186 .0410 .0153 .0227 .0253 .0204 .0106 11 .0241 12 .0881 13 .0162 14 .0021 .0030 .1999 .0025 .0192 .1376 .0023 .0036 .1436 .0026 .0057 .1823 .0023 .0051 .1528 .0058 .0086 .2180 .0025 .0043 .2831 .0020 .0029 .1282 .0024 .0029 .2328 .0028 .0067 .1649 .0053 .0035 .0604 .0098 .0037 .0952 .0093 .0039 .1295 .0057 .0058 .0838 .0072 15 .0063 16 .0259 17 1.1058 .0077 .0040 .0130 1.0520 .0082 .0034 .0122 1.0803 .0138 .0045 .0146 1.0668 .0090 .0052 .0138 1 .0405 .0217 .0035 .0128 1 .0556 .0081 .0034 .0110 1 .0456 .0072 .0036 .0116 1 .0382 .0203 .0035 .0145 1.0175 .0347 .0045 .0148 1.0000 1 .0281 .0135 .0055 .0138 1 .0344 .0083 .0028 .0112 1 .0322 .0093 .0032 .0131 1.0212 .0112 .0034 .0132 1.0679 .0092 .0124 .0129 1.0230 18 .0106 19 .0038 20 .0157 21 .0007 .0006 .0008 .0007 .0007 .0006 .0006 .0007 .0008 .0007 .0006 .0007 .0007 .0007 .0008 22 .0018 .0020 .0021 .0019 .0019 .0016 .0017 .0021 .0020 .0019 .0017 .0019 .0018 .0019 .0025 23 .0011 .0013 .0014 .0011 .0011 .0010 .0011 .0014 .0013 .0011 .0027 .0014 .0012 .0014 .0014 24 .0804 .0586 .0731 .0618 .0603 .0641 .0733 .0550 .0673 .0642 .0434 .0508 .0523 .0530 .0647 25 .0307 .0336 .0332 .0297 .0291 .0276 .0293 .0371 .0322 .0327 .0354 .0377 .0351 .0346 .0411 26 .0458 .0407 .0493 .0450 .0431 .0416 .0512 .0587 .0548 .0502 .0394 .0459 .0541 .0432 .0720 27 .1137 .0975 .1207 .1111 .0912 .1135 .1335 .0857 .1170 .0991 .0651 .1079 .1095 .1011 .0822 28 .0637 .0595 .0714 .0624 .0633 .0543 .0565 .0691 .0693 .0648 .0546 .0643 .0644 .0639 .0768 29 .0387 .0382 .0439 .0399 .0379 .0347 .0394 .0516 .0448 .0384 .0338 .0390 .0385 .0394 .0467 30 .0280 .0274 .0318 .0284 .0273 .0242 .0268 .0317 .0304 .0288 .0236 .0284 .0280 .0277 .0339 31 .1056 .1005 .1140 .1041 .1052 .0893 .0929 .1153 .1128 .1061 .0925 .1066 .1044 .1014 .1265 32 .0132 .0153 .0173 .0149 .0129 .0125 .0136 .0128 .0124 .0114 .0108 .0126 .0115 .0114 .0135 33 .0108 .0101 .0120 .0108 .0109 .0094 .0104 .0129 .0120 .0135 .0098 .0114 .0117 .0128 .0153 34 .0598 .0657 .0771 .0615 .0588 .0556 .0596 .0749 .1137 .0657 .0604 .0665 .0613 .0677 .0764 35 .0355 .0359 .0414 .0368 .0365 .0310 .0317 .0401 .0387 .0368 .0323 .0375 .0374 .0364 .0449 36 .0585 .0544 .0654 .0574 .0585 .0500 .0520 .0653 .0650 .0597 .0515 .0606 .0608 .0589 .0712 37 .0553 .0543 .0640 .0557 .0544 .0514 .0512 .0641 .0582 .0589 .0493 .0541 .0548 .0516 .0715 38 .5818 .5415 .6506 .5713 .5821 .4973 .5172 .6493 .6469 .5939 .5127 .6030 .6048 .5862 .7081 Total 2.2295 2.0878 2.2446 2.1719 2.1271 2.1078 2.2176 2.1424 2.2988 1.0000 2.1457 1.9073 2.0584 2.1004 2.0999 2.1804 42.0402 42.0500 42.0700 42.0800 42.1000 42.1100 43.0100 43.0200 44.0001 44.0002 45.0100 45.0200 45.0300 46.0100 46.0200 46.0300 1 .... 2 .... 3 .... 4 .... 5 .... 6 .... 7 .... 8 .... 9 .... 10 .... 11 .... 12 .... 13 .... 14 .... 15 .... 16 .... 17 .... 18 .... 19 .... 20 .... 21 .... 22 .... 23 .... 24 .... 25 .... 26 .... 27 .... 28 .... 29 .... 30 .... 31 .... 32 .... 33 .... 34 .... 35 .... 36 .... 37 .... 38 .... Total 0.0146 .0003 .0005 .0009 .0292 .0300 .0001 .0072 .0087 .0375 .0832 .0275 .0018 .0031 .1262 1 .0659 .0084 .0035 .0125 .0007 .0020 .0014 .0705 .0363 .0636 .1006 .0611 .0404 .0284 .1045 .0123 .0113 .0684 .0359 .0565 .0575 .5623 2.2123 0.0144 .0002 .0003 .0006 .0290 .0301 .0002 .0075 .0163 .0211 .0199 .0602 .0023 .0027 .1451 1.0289 .0086 .0034 .0131 .0007 .0019 .0012 .0578 .0303 .0478 .1021 .0635 .0411 .0279 .1049 .0114 .0108 .0602 .0365 .0594 .0549 .5909 2.1161 0.0152 .0002 .0004 .0006 .0304 .0316 .0001 .0079 .0078 .0243 .0153 .0117 .0020 .0026 .1822 1.0199 .0084 .0035 .0148 .0007 .0018 .0012 .0633 .0338 .0599 .1197 .0670 .0441 .0299 .1077 .0122 .0117 .0612 .0378 .0629 .0622 .6255 2.1558 0.0148 .0001 .0002 .0005 .0259 .0309 .0001 .0081 .0092 .0316 .0178 .0187 .0022 .0024 .0966 1 .0430 .0106 .0044 .0135 .0007 .0021 .0014 .0545 .0370 .0450 .0950 .0652 .0499 .0302 .1066 .0126 .0112 .0853 .0376 .0608 .0586 .6050 2.0844 1.0000 1.0000 0.0142 .0001 .0002 .0005 .0287 .0293 .0001 .0073 .0095 .0251 .0185 .0124 .0057 .0035 .1183 1 .0493 .0095 .0035 .0129 .0007 .0019 .0012 .0643 .0313 .0452 .1083 .0620 .0416 .0274 .1019 .0116 .0106 .0617 .0365 .0575 .0539 .5720 2.0663 1 .0000 1.0000 0.0122 .0001 .0002 .0004 .0243 .0255 .0001 .0065 .0078 .0186 .0119 .0186 .0016 .0026 .1405 .0281 1 .0292 .0139 .0162 .0007 .0016 .0010 .0427 .0266 .0400 .0963 .0539 .0347 .0242 .0875 .0096 .0109 .0539 .0305 .0506 .0452 .5035 1.9685 0.0135 .0001 .0002 .0004 .0273 .0279 .0001 .0069 .0073 .0310 .0162 .0221 .0025 .0023 .0913 .0181 1.0554 .0062 .0164 .0009 .0018 .0012 .0575 .0339 .0400 .1139 .0586 .0359 .0262 .0957 .0117 .0105 .0706 .0343 .0549 .0477 .5465 2.0408 0.0103 .0001 .0002 .0004 .0221 .0213 .0001 .0053 .0183 .0280 .0159 .0404 .0016 .0020 .0701 .0499 1.0485 .0115 .0134 .0006 .0015 .0011 .0535 .0288 .0304 .1263 .0446 .0294 .0206 .0740 .0093 .0086 .0596 .0270 .0413 .0374 .4111 1.9536 0.0136 .0001 .0003 .0005 .0293 .0282 .0001 .0070 .0065 .0251 .0148 .0188 .0020 .0026 .0940 .0913 1 .0602 .0044 .0146 .0007 .0019 .0014 .0575 .0320 .0431 .1096 .0597 .0390 .0280 .0966 .0119 .0118 .0665 .0352 .0555 .0498 .5522 2.1132 0.0149 .0001 .0002 .0005 .0320 .0309 .0001 .0077 .0063 .0319 .0162 .0122 .0023 .0038 .0865 .0994 1 .0288 .0046 .0137 .0008 .0020 .0022 .0561 .0375 .0409 .0872 .0651 .0411 .0290 .1052 .0130 .0120 .0714 .0386 .0607 .0519 .6038 2.1065 1 .0000 1.0000 0.0157 .0001 .0002 .0005 .0326 .0332 .0002 .0082 .0095 .0623 .0177 .0158 .0023 .0028 .0909 .0668 1.0241 .0423 .0153 .0008 .0024 .0015 .0617 .0409 .0405 .1086 .0701 .0434 .0318 .1134 .0133 .0138 .0816 .0405 .0645 .0612 .6416 2.2304 0.0162 .0001 .0002 .0005 .0318 .0339 .0001 .0083 .0080 .0379 .0171 .0256 .0024 .0029 .0728 .0976 1.0642 .0119 .0148 .0008 .0023 .0015 .0545 .0414 .0434 .1091 .0707 .0462 .0322 .1172 .0142 .0131 .0770 .0420 .0665 .0556 .6614 2.2341 1.0000 1.0000 Note.— The column Industries are identified in appendix B, and the row industries are iden- tified in appendix C. Each entry measures the change in output in each row industry that results from a $1 change in output delivered to final demand by the column industry. Each column total is the sum of the entries in rows 1-37; these entries include earnings paid to households employed in industries 1-37. Each column total excludes the entry in row 38; this entry is the sum of earnings paid to households. Column entries may not sum to totals due to rounding. 48 REGIONAL MULTIPLIERS Table 1.1— Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area— Continued [Dollars] 46.0400 47.0100 47.0200 47.0300 47.0401 47.0402 47.0404 47.0405 47.0500 48.0100 48.0200 48.0300 48.0400 48.0500 48.0600 49.0100 1 .... 2 .... 3 .... 4 .... 5 .... 6 .... 7 .... 8 .... 9 .... 10 .... 11 .... 12 .... 13 .... 14 .... 15.... 16.... 17 .... 18 .... 19 .... 20 .... 21 .... 22 .... 23 .... 24 .... 25 .... 26 .... 27 .... 28 .... 29 .... 30 .... 31 .... 32 .... 33 .... 34 .... 35 .... 36 .... 37 .... 38 .... Total 0.0134 .0001 .0002 .0004 .0313 .0280 .0001 .0069 .0066 .0179 .0136 .0144 .0026 .0025 .0814 .0482 1 .0797 .0210 .0132 .0007 .0019 .0016 .0491 .0297 .0355 .1337 .0588 .0361 .0253 .0978 .0110 .0108 .0610 .0346 .0550 .0467 .5476 2.0708 1.0000 1.0000 0.0171 .0001 .0003 .0004 .0283 .0361 .0001 .0089 .0076 .0236 .0184 .0121 .0022 .0040 .0724 .0418 1.0355 .0144 .0159 .0009 .0025 .0013 .0548 .0375 .0456 .0987 .0753 .0480 .0343 .1214 .0143 .0142 .0719 .0449 .0705 .0668 .7015 2.1421 0.0185 .0001 .0002 .0004 .0288 .0387 .0001 .0096 .0105 .0266 .0178 .0137 .0020 .0050 .0548 .0124 1.0353 .0042 .0169 .0009 .0024 .0014 .0500 .0372 .0448 .0695 .0815 .0463 .0345 .1351 .0145 .0136 .0693 .0463 .0771 .0658 .7671 2.0861 0.0129 .0001 .0002 .0003 .0217 .0269 .0001 .0066 .0157 .0295 .0158 .0333 .0017 .0030 .0481 .0697 1 .0246 .0111 .0120 .0007 .0019 .0012 .0490 .0335 .0351 .1000 .0566 .0393 .0268 .0952 .0121 .0106 .0662 .0343 .0523 .0553 .5199 2.0034 1.0000 1.0000 0.0163 .0001 .0003 .0006 .0265 .0343 .0001 .0083 .0149 .0370 .0596 .0140 .0025 .0024 .0921 .0221 1.0152 .0127 .0146 .0008 .0020 .0015 .0713 .0411 .0456 .1012 .0701 .0538 .0332 .1163 .0178 .0130 .0752 .0406 .0646 .0696 .6425 2.1916 0.0206 .0001 .0002 .0005 .0322 .0434 .0001 .0107 .0073 .0221 .0187 .0125 .0055 .0029 .0330 .0063 1.0258 .0035 .0186 .0010 .0023 .0014 .0476 .0380 .0470 .0614 .0909 .0497 .0372 .1476 .0156 .0150 .0678 .0507 .0870 .0659 .8657 2.0902 1.0000 1.0000 0.0150 .0001 .0002 .0004 .0260 .0313 .0001 .0077 .0089 .0280 .0153 .0223 .0025 .0029 .0734 .0386 1.0393 .0116 .0137 .0008 .0021 .0013 .0519 .0337 .0374 .1039 .0651 .0434 .0290 .1086 .0133 .0116 .0698 .0396 .0612 .0537 .6091 2.0655 1.0000 1.0000 0.0142 .0001 .0002 .0004 .0257 .0301 .0001 .0074 .0210 .0244 .0133 .0165 .0020 .0024 .0853 .0297 1.0315 .0254 .0141 .0009 .0020 .0011 .0482 .0333 .0387 .0979 .0625 .0397 .0273 .1083 .0124 .0109 .0640 .0363 .0589 .0525 .5864 2.0387 0.0152 .0001 .0002 .0004 .0258 .0322 .0001 .0079 .0063 .0291 .0137 .0215 .0020 .0027 .0495 .0124 1.0367 .0103 .0140 .0008 .0022 .0013 .0488 .0365 .0379 .0896 .0667 .0461 .0296 .1104 .0134 .0122 .0701 .0401 .0630 .0544 .6267 2.0034 0.0144 .0001 .0002 .0004 .0262 .0302 .0001 .0074 .0060 .0230 .0130 .0272 .0017 .0024 .0475 .0247 1.0439 .0190 .0131 .0007 .0021 .0011 .0434 .0353 .0335 .0836 .0632 .0403 .0270 .1057 .0120 .0112 .0621 .0368 .0597 .0496 .5943 1.9679 0.0158 .0001 .0002 .0005 .0279 .0330 .0001 .0082 .0081 .0279 .0182 .0193 .0021 .0043 .0538 .0424 1.0332 .0131 .0145 .0008 .0023 .0013 .0529 .0372 .0405 .1126 .0692 .0459 .0306 .1173 .0138 .0124 .0706 .0400 .0651 .0568 .6480 2.0922 0.0147 .0001 .0002 .0004 .0256 .0308 .0001 .0079 .0104 .0340 .0141 .0221 .0020 .0026 .0709 .0321 1 .0532 .0287 .0138 .0008 .0021 .0014 .0506 .0395 .0411 .1014 .0646 .0433 .0296 .1069 .0139 .0124 .0736 .0382 .0607 .0544 .6040 2.0983 49.0200 49.0300 49.0500 49.0600 49.0700 49.0800 50.0100 50.0200 50.0300 50.0400 51.0102 51.0103 51.0104 51.0400 52.0100 52.0200 1 .... 2 .... 3 .... 4 .... 5 .... 6 .... 7 .... 8 .... 9 .... 10 .... 11 .... 12 .... 13 .... 14 .... 15 .... 16 .... 17 .... 18 .... 19 .... 20 .... 21 .... 22 .... 23 .... 24 .... 25 ..., 26 .... 27 .... 28 ..., 29 .... 30 ..., 31 ..., 32 ..., 33 ..., 34 .... 35 .... 36 .... 37 ... 38 .... Total 1.0000 1.0000 0.0141 .0001 .0002 .0004 .0273 .0293 .0002 .0074 .0083 .0199 .0138 .0116 .0020 .0026 .0887 .0265 1.0436 .0189 .0129 .0008 .0023 .0010 .0470 .0311 .0366 .0885 .0614 .0378 .0263 .1093 .0114 .0107 .0590 .0361 .0579 .0499 .5757 1.9949 0.0154 .0001 .0002 .0004 .0283 .0323 .0001 .0080 .0085 .0203 .0138 .0147 .0020 .0027 .0888 .0090 1.0330 .0073 .0144 .0008 .0020 .0011 .0492 .0333 .0451 .0912 .0682 .0404 .0288 .1098 .0126 .0127 .0647 .0385 .0643 .0547 .6402 2.0169 0.0148 .0001 .0002 .0004 .0270 .0312 .0001 .0077 .0080 .0190 .0135 .0150 .0018 .0027 .0517 .0354 1.0519 .0128 .0134 .0007 .0024 .0011 .0434 .0312 .0364 .0777 .0652 .0381 .0274 .1096 .0120 .0109 .0574 .0375 .0617 .0498 .6141 1.9691 0.0146 .0001 .0002 .0004 .0246 .0305 .0003 .0077 .0117 .0210 .0185 .0324 .0018 .0027 .0630 .0231 1.0352 .0119 .0136 .0007 .0024 .0011 .0476 .0315 .0376 .0827 .0641 .0404 .0281 .1059 .0120 .0112 .0639 .0367 .0605 .0522 .6016 1.9917 0.0149 .0001 .0002 .0003 .0247 .0313 .0002 .0079 .0102 .0221 .0168 .0271 .0020 .0025 .0401 .0197 1 .0288 .0126 .0137 .0007 .0022 .0012 .0450 .0325 .0356 .0811 .0654 .0410 .0281 .1078 .0124 .0113 .0624 .0378 .0620 .0521 .6164 1.9539 1.0000 1.0000 0.0170 .0001 .0002 .0004 .0311 .0356 .0002 .0089 .0114 .0332 .0160 .0139 .0021 .0083 .0587 .0374 1.0394 .0086 .0155 .0008 .0024 .0015 .0518 .0407 .0444 .0879 .0745 .0513 .0326 .1233 .0145 .0133 .0921 .0443 .0703 .0617 .6989 2.1453 0.0134 .0001 .0002 .0003 .0207 .0283 .0001 .0069 .0096 .0167 .0393 .0163 .0015 .0019 .0364 .0252 1.0202 .0214 .0122 .0006 .0018 .0009 .0473 .0285 .0322 .0680 .0595 .0422 .0271 .0978 .0100 .0101 .0679 .0355 .0549 .0570 .5466 1.9121 0.0190 .0001 .0002 .0005 .0328 .0398 .0001 .0098 .0087 .0283 .0164 .0114 .0021 .0062 .0783 .0261 1.0550 .0040 .0172 .0009 .0024 .0014 .0501 .0392 .0453 .0775 .0836 .0540 .0349 .1410 .0150 .0142 .0929 .0480 .0793 .0647 .7887 2.2006 1.0000 1.0000 0.0097 .0001 .0002 .0174 .0202 .0001 .0050 .0066 .0142 .0094 .0179 .0012 .0013 .0066 .0111 1.0076 .0258 .0086 .0005 .0018 .0009 .0411 .0222 .0216 .1029 .0418 .0323 .0193 .0771 .0125 .0076 .0488 .0271 .0391 .0375 .3887 1.6972 0.0118 .0001 .0003 .0278 .0246 .0001 .0061 .0074 .0160 .0129 .0266 .0017 .0019 .0212 .0131 1.0091 .0374 .0106 .0006 .0022 .0010 .0426 .0265 .0269 .1119 .0516 .0347 .0225 .0896 .0128 .0090 .0537 .0313 .0483 .0435 .4805 1.8372 0.0142 .0001 .0002 .0003 .0236 .0297 .0002 .0073 .0124 .0171 .0262 .0728 .0018 .0020 .0208 .0203 1.0076 .0168 .0127 .0007 .0022 .0013 .0414 .0299 .0319 .0942 .0620 .0391 .0258 .1071 .0107 .0104 .0662 .0351 .0589 .0473 .5862 1.9504 0.0150 .0001 .0002 .0004 .0290 .0313 .0001 .0079 .0140 .0218 .0250 .0398 .0035 .0030 .0514 .0374 1.0303 .0277 .0136 .0008 .0019 .0033 .0521 .0331 .0390 .0989 .0653 .0394 .0285 .1068 .0129 .0120 .0660 .0388 .0616 .0514 .6131 2.0633 0.0137 .0001 .0002 .0004 .0250 .0286 .0001 .0071 .0069 .0198 .0147 .0324 .0068 .0024 .0849 .0338 1.0180 .0298 .0134 .0007 .0018 .0010 .0410 .0300 .0345 .0891 .0627 .0378 .0279 .1005 .0108 .0106 .0521 .0340 .0570 .0691 .5674 1.9988 Note.— The column industries are Identified in appendix B, and the row Industries are Iden- sum of the entries In rows 1-37; these entries Include earnings paid to households employed titled In appendix C. In Industries 1-37. Each column total excludes the entry in row 38; this entry Is the sum of Each entry measures the change in output in each row industry that results from a $1 earnings paid to households. Column entries may not sum to totals due to rounding, change in output delivered to final demand by the column industry. Each column total is the REGIONAL MULTIPLIERS 49 Table 1.1— Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area— Continued [Dollars] 52.0300 52.0400 52.0500 53.0200 53.0300 53.0400 53.0500 53.0700 53.0800 54.0100 54.0200 54.0300 54.0400 54.0500 54.0700 55.0100 1 0.0127 .0001 .0002 .0004 .0224 .0265 .0001 .0066 .0126 .0244 .0174 .0248 .0045 .0053 .0656 .0292 1.0397 .0283 .0117 .0007 .0018 .0019 .0473 .0307 .0362 .1174 .0554 .0339 .0245 .0912 .0115 .0099 .0574 .0326 .0522 .0451 .5192 1.9819 1.0000 1.0000 0.0138 .0001 .0002 .0014 .0307 .0286 .0001 .0071 .0126 .0233 .0216 .0216 .0041 .0027 .0689 .0746 1.0334 .0155 .0125 .0007 .0019 .0012 .0553 .0326 .0341 .0990 .0602 .0356 .0261 .1003 .0118 .0107 .0595 .0347 .0563 .0491 .5597 2.0416 0.0148 .0001 .0002 .0004 .0274 .0307 .0001 .0075 .0148 .0320 .0337 .0163 .0026 .0043 .1018 .0304 .0232 1.0097 .0133 .0007 .0020 .0013 .0624 .0371 .0439 .1283 .0638 .0484 .0287 .1052 .0159 .0119 .0716 .0385 .0597 .0544 .5938 2.1372 0.0136 .0001 .0002 .0004 .0281 .0283 .0001 .0071 .0100 .0391 .0189 .0255 .0024 .0024 .0443 .0273 .0055 1.0170 .0122 .0006 .0021 .0024 .0498 .0387 .0338 .0963 .0594 .0445 .0263 .0995 .0153 .0110 .0695 .0347 .0558 .0494 .5549 1.9716 0.0150 .0001 .0002 .0004 .0259 .0313 .0001 .0078 .0156 .0327 .0203 .0257 .0024 .0047 .0909 .0340 .0110 1.0150 .0140 .0008 .0020 .0014 .0563 .0381 .0425 .1031 .0656 .0455 .0289 .1079 .0153 .0119 .0701 .0385 .0617 .0556 .6135 2.0922 0.0162 .0001 .0002 .0004 .0324 .0338 .0001 .0084 .0158 .0400 .0204 .0265 .0022 .0025 .0228 .0252 .0069 1 .021 1 .0145 .0008 .0032 .0017 .0561 .0500 .0387 .1204 .0705 .0559 .0319 .1190 .0181 .0131 .0805 .0425 .0661 .0592 .6579 2.1172 1.0000 1.0000 0.0149 .0001 .0002 .0003 .0258 .0312 .0001 .0079 .0163 .0333 .0173 .0223 .0031 .0020 .0263 .0223 .0043 1.0145 .0135 .0010 .0021 .0013 .0609 .0371 .0365 .0729 .0657 .0460 .0269 .1100 .0148 .0124 .0666 .0366 .0618 .0541 .6153 1.9623 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0.0125 .0001 .0002 .0004 .0230 .0267 .0003 .0064 .0315 .0309 .0315 .0481 .0162 .0081 .0511 .0330 .0065 1.0306 .0110 .0007 .0018 .0030 .0561 .0318 .0364 .0955 .0531 .0362 .0242 .0889 .0118 .0109 .0617 .0323 .0497 .0476 .4946 2.0089 1.0000 1.0000 0.0124 .0001 .0003 .0005 .0247 .0258 .0001 .0064 .0251 .0286 .0414 .0335 .0101 .0093 .0868 .0535 .0063 1.0176 .0110 .0006 .0017 .0028 .0638 .0313 .0438 .1194 .0530 .0393 .0246 .0882 .0118 .0106 .0630 .0318 .0495 .0494 .4920 2.0779 0.0122 2 3 4 .0001 .0002 5 6 7 .0004 .0233 .0253 8 9 10 .0001 .0062 .0176 11 .0307 12 .0148 13 14 .0094 .0023 15 .0400 16 .0032 17 .0067 18 19 .0058 1.0081 20 21 22 23 .0105 .0006 .0019 .0012 24 25 26 27 28 29 .0472 .0313 .0375 .1287 .0514 .0430 30 31 .0238 .0879 32 33 34 35 36 37 .0150 .0105 .0697 .0354 .0480 .0481 38 Total .4771 1.8978 55.0200 55.0300 56.0100 56.0200 56.0300 56.0500 57.0100 57.0200 57.0300 58.0100 58.0200 58.0400 58.0600 58.0700 59.0100 59.0200 1 2 3 4 5 6 7 8 9 10 11 12 0.0133 .0001 .0002 .0004 .0242 .0277 .0002 .0069 .0248 .0217 .0276 .0384 .0039 .0151 .0635 .0449 .0052 1.0309 .0120 .0006 .0019 .0028 .0539 .0316 .0357 .0998 .0581 .0400 .0254 .0988 .0128 .0105 .0572 .0333 .0546 .0482 .5437 2.0262 0.0146 .0001 .0002 .0004 .0267 .0303 .0001 .0074 .0170 .0266 .0339 .0253 .0019 .0033 .0773 .0422 .0081 1.0091 .0130 .0007 .0019 .0012 .0623 .0342 .0437 .1068 .0631 .0478 .0284 .1049 .0151 .0121 .0712 .0387 .0589 .0552 .5857 2.0838 0.0084 .0001 .0002 .0134 .0174 .0001 .0043 .0177 .0167 .0120 .0334 .0042 .0015 .0078 .0191 .0034 1.0386 .0076 .0004 .0019 .0011 .0335 .0210 .0199 .1195 .0362 .0234 .0164 .0639 .0075 .0332 .0499 .0223 .0339 .0330 .3375 1.7231 0.0097 .0002 .0002 .0161 .0200 .0001 .0050 .0089 .0671 .0237 .0615 .0012 .0014 .0016 .0038 .0027 1.0089 .0086 .0004 .0015 .0011 .0455 .0288 .0275 .0788 .0417 .0256 .0192 .0758 .0091 .0081 .0550 .0249 .0393 .0366 .3908 1.7S97 0.0114 .0001 .0002 .0187 .0238 .0002 .0060 .0090 .0210 .0229 .0685 .0015 .0019 .0088 .0178 .0035 1.0739 .0101 .0005 .0021 .0010 .0399 .0280 .0264 .0812 .0495 .0317 .0217 .0869 .0097 .0087 .0574 .0287 .0469 .0398 .4661 1.8S9S 0.0143 .0001 .0002 .0003 .0216 .0298 .0001 .0077 .0083 .0300 .0147 .0143 .0017 .0018 .0150 .0200 .0048 1.0664 .0128 .0007 .0045 .0013 .0417 .0363 .0311 .0745 .0622 .0400 .0277 .1076 .0119 .0108 .0669 .0362 .0591 .0486 .5884 1.9250 0.0157 .0001 .0002 .0004 .0265 .0328 .0001 .0082 .0092 .0198 .0170 .0184 .0029 .0508 .0119 .0464 .0053 1.0164 .0142 .0007 .0044 .0012 .0509 .0330 .0484 .0918 .0689 .0509 .0297 .1117 .0144 .0121 .0639 .0395 .0650 .0583 .6466 2.0413 0.0162 .0001 .0002 .0005 .0372 .0335 .0001 .0084 .0070 .0253 .0255 .0181 .0021 .0033 .0167 .0296 .0070 1.0153 .0140 .0007 .0035 .0013 .0497 .0354 .0472 .0874 .0692 .0556 .0306 .1185 .0154 .0126 .0829 .0415 .0654 .0584 .6503 2.0366 0.0148 .0001 .0002 .0003 .0249 .0309 .0002 .0078 .0107 .0204 .0295 .0881 .0019 .0024 .0162 .0398 .0053 1.0233 .0132 .0007 .0037 .0012 .0475 .0311 .0386 .0863 .0645 .0398 .0276 .1084 .0127 .0111 .0573 .0366 .0610 .0516 .6071 2.0098 0.0124 .0001 .0002 .0006 .0205 .0258 .0002 .0063 .0119 .0267 .0322 .0635 .0015 .0018 .0446 .0089 .0041 1.0520 .0111 .0006 .0016 .0011 .0569 .0301 .0463 .1078 .0541 .0400 .0247 .0881 .0133 .0098 .0569 .0311 .0500 .0525 .4974 1.9894 0.0104 .0001 .0002 .0004 .0192 .0215 .0001 .0053 .0226 .0407 .0208 .0283 .0018 .0017 .0209 .0686 .0057 1.0194 .0093 .0005 .0015 .0013 .0539 .0336 .0294 .0854 .0449 .0444 .0219 .0755 .0114 .0096 .0667 .0279 .0412 .0442 .4102 1.8904 0.0151 .0001 .0002 .0003 .0239 .0315 .0001 .0078 .0108 .0413 .0166 .0215 .0019 .0021 .0472 .0289 .0075 1.0323 .0161 .0007 .0021 .0015 .0655 .0417 .0376 .1299 .0658 .0525 .0307 .1108 .0206 .0126 .0790 .0405 .0614 .0602 .6110 2.1186 1.0000 1.0000 0.0165 .0001 .0002 .0003 .0300 .0343 .0001 .0083 .0118 .0269 .0186 .0167 .0020 .0023 .0184 .0265 .0070 1.0397 .0142 .0008 .0031 .0013 .0451 .0361 .0359 .0826 .0694 .0424 .0294 .1219 .0136 .0118 .0859 .0479 .0657 .0587 .6535 2.0256 0.0144 .0001 .0003 .0004 .0300 .0299 .0006 .0099 .0086 .0554 .0275 .0134 .0032 .0091 .0729 .0781 .0285 .0099 1.0556 .0030 .0022 .0018 .0575 .0464 .0410 .0996 .0627 .0400 .0297 .1036 .0135 .0123 .0842 .0384 .0576 .0571 .5726 2.1978 0.0112 .0001 .0002 .0003 .0230 .0227 .0003 .0057 .0051 .0184 .0175 13 14 .0149 .0126 15 .0033 16 .1094 17 .0254 18 .0123 19 .0035 20 1.0478 21 22 23 .0010 .0014 .0009 24 .0745 25 .0257 26 .0302 27 .0954 28 .0491 29 .0294 30 .0217 31 .0790 32 .0088 33 .0087 34 .0472 35 .0277 36 37 .0449 0442 38 .4465 Total 1.9237 Note.— The column Industries are Identified In appendix B, and the row Industries are Iden- tified In appendix C. Each entry measures the change In output In each row Industry that results from a $1 change in output delivered to final demand by the column Industry. Each column total Is the sum of the entries In rows 1-37; these entries Include earnings paid to households employed In Industries 1-37. Each column total excludes the entry In row 38; this entry Is the sum of earnings paid to households. Column entries may not sum to totals due to rounding. 50 REGIONAL MULTIPLIERS Table 1.1— Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area— Continued [Dollars] 59.0301 59.0302 60.0100 60.0200 60.0400 61.0100 61.0200 61.0300 61.0500 61.0601 61.0603 61.0700 62.0101 62.0102 62.0200 62.0300 1 ... 2 ... 3 ... 4 ... 5 ... 6 ... 7 ... 8 ... 9 ... 10 ... 11 ... 12 ... 13 ... 14 ... 15 ... 16 ... 17 ... 18 ... 19 ... 20 ... 21 ... 22 ... 23 .... 24 ... 25 ... 26 ... 27 ... 28 .... 29 .... 30 .... 31 .... 32 .... 33 ... 34 .... 35 .... 36 .... 37 .... 38 .... Total 0.0102 .0001 .0002 .0003 .0181 .0206 .0005 .0134 .0074 .0241 .0269 .0481 .0045 .0054 .0181 .0255 .0195 .0126 1.1330 .0007 .0020 .0012 .0603 .0258 .0267 .1192 .0440 .0297 .0217 .0708 .0089 .0085 .0487 .0256 .0398 .0438 .3960 1.9654 0.0137 .0001 .0002 .0004 .0266 .0284 .0005 .0071 .0087 .0296 .0225 .0380 .0022 .0029 .0824 .0447 .0272 .0073 1.0510 .0007 .0018 .0013 .0593 .0366 .0420 .1006 .0618 .0364 .0274 .0983 .0115 .0121 .0619 .0344 .0561 .0851 .5580 2.1210 0.0127 .0001 .0001 .0003 .0213 .0265 .0001 .0077 .0052 .0262 .0146 .0203 .0015 .0021 .0217 .0202 .0167 .0271 .0117 1.0063 .0091 .0012 .0524 .0312 .0281 .0578 .0557 .0447 .0243 .0929 .0160 .0095 .0593 .0316 .0527 .0439 .5244 1.8526 1.0000 1.0000 0.0161 .0001 .0002 .0003 .0261 .0337 .0001 .0085 .0058 .0274 .0164 .0121 .0023 .0024 .0257 .0260 .0087 .0081 .0145 1 .0029 .0025 .0013 .0485 .0384 .0373 .0584 .0708 .0453 .0299 .1173 .0172 .0118 .0718 .0390 .0673 .0547 .6691 1.9489 1 .0000 1.0000 0.0124 .0001 .0002 .0004 .0328 .0256 .0005 .0096 .0059 .0181 .0317 .0149 .0076 .0115 .0277 .0665 .0274 .0111 .0143 1 .0022 .0044 .0010 .0453 .0273 .0285 .1074 .0546 .0317 .0234 .1078 .0099 .0093 .0509 .0304 .0506 .0463 .5032 1.9493 0.0135 .0001 .0002 .0005 .0346 .0281 .0001 .0082 .0051 .0161 .0141 .0101 .0021 .0032 .0765 .0191 .0169 .0183 .0136 1 .0042 .0018 .0010 .0439 .0292 .0372 .0701 .0610 .0352 .0263 .0968 .0105 .0102 .0504 .0324 .0564 .0537 .5614 1.9008 0.0111 .0001 .0002 .0003 .0250 .0230 .0002 .0098 .0099 .0153 .0165 .0305 .0017 .0020 .0492 .0340 .0308 .0047 .0130 1.0016 .0018 .0012 .0463 .0243 .0302 .1489 .0481 .0304 .0211 .0797 .0093 .0092 .0478 .0285 .0448 .0397 .4457 1.8904 0.0121 .0001 .0001 .0003 .0265 .0249 .0016 .0111 .0065 .0159 .0232 .0251 .0219 .0109 .0446 .0773 .0142 .0082 .0519 1 .0494 .0016 .0011 .0503 .0272 .0278 .1113 .0526 .0309 .0220 .0866 .0097 .0089 .0471 .0300 .0491 .0420 .4885 2.0239 0.0123 .0001 .0002 .0003 .0234 .0252 .0023 .0162 .0074 .0372 .0238 .0325 .0149 .0115 .0207 .0649 .0182 .0217 .2305 1 .0039 .0018 .0013 .0715 .0355 .0296 .1214 .0527 .0345 .0252 .0880 .0117 .0098 .0719 .0316 .0486 .0473 .4834 2.2495 0.0128 .0001 .0002 .0004 .0255 .0266 .0001 .0077 .0077 .0181 .0210 .0270 .0028 .0022 .0600 .0203 .0149 .0044 .0512 1.0649 .0017 .0010 .0562 .0293 .0332 .1362 .0559 .0330 .0242 .0954 .0106 .0105 .0553 .0321 .0523 .0463 .5198 2.0409 0.0157 .0001 .0002 .0003 .0244 .0329 .0001 .0084 .0068 .0338 .0158 .0130 .0022 .0021 .0264 .0219 .0060 .0310 .0141 .0008 1 .0074 .0015 .0468 .0397 .0353 .0772 .0685 .0442 .0306 .1174 .0132 .0119 .0736 .0401 .0651 .0544 .6474 1.9831 0.0136 .0001 .0002 .0003 .0216 .0287 .0001 .0069 .0110 .0319 .0160 .0195 .0058 .0027 .0272 .0260 .0117 .0135 .0123 .0007 1.0206 .0013 .0465 .0365 .0323 .0741 .0593 .0392 .0270 .0987 .0122 .0106 .0722 .0382 .0554 .0556 .5509 1.9294 0.0150 .0001 .0002 .0003 .0233 .0316 .0001 .0081 .0084 .0307 .0197 .0177 .0019 .0028 .0305 .0300 .0061 .0180 .0145 .0007 1.0151 .0013 .0435 .0364 .0356 .0829 .0672 .0390 .0296 .1111 .0121 .0119 .0646 .0382 .0626 .0719 .6224 1.9827 1.0000 1.0000 62.0400 62.0500 62.0600 62.0700 62.0800 62.0900 62.1000 62.1100 63.0200 63.0300 64.0101 64.0102 64.0104 64.0105 64.0200 64.0301 1 .... 2 .... 3 .... 4 .... 5 .... 6 .... 7 .... 8 .... 9 .... 10 .... 11 .... 12 .... 13 .... 14 .... 15 .... 16 .... 17 .... 18 .... 19 .... 20 .... 21 .... 22 .... 23 .... 24 .... 25 .... 26 .... 27 .... 28 .... 29 .... 30 .... 31 .... 32 .... 33 .... 34 .... 35 .... 36 .... 37 .... 38 .... Total 0.0135 .0001 .0002 .0003 .0211 .0278 .0002 .0072 .0261 .0283 .0317 .0409 .0021 .0038 .0255 .0408 .0056 .0087 .0119 .0006 1.0311 .0012 .0460 .0329 .0368 .0805 .0571 .0350 .0258 .0994 .0111 .0102 .0628 .0357 .0534 .0508 .5309 1.9660 0.0221 .0001 .0002 .0003 .0214 .0348 .0012 .0070 .0239 .0287 .0287 .0236 .0017 .0036 .0256 .0377 .0047 .0068 .0111 .0006 1 .0395 .0012 .0440 .0321 .0327 .0795 .0540 .0369 .0243 .0949 .0110 .0098 .0665 .0328 .0506 .0523 .5031 1.9459 0.0127 .0001 .0002 .0004 .0202 .0264 .0002 .0066 .0134 .0188 .0146 .0158 .0016 .0133 .0487 .0112 .0036 .0060 .0113 .0006 1.0020 .0012 .0480 .0296 .0301 .0809 .0555 .0325 .0235 .0943 .0105 .0095 .0559 .0319 .0522 .0488 .5196 1.8321 0.0108 .0001 .0002 .0171 .0223 .0001 .0056 .0133 .0219 .0141 .0122 .0015 .0034 .0082 .0359 .0050 .0094 .0095 .0005 1.0036 .0021 .0364 .0263 .0264 .0836 .0461 .0293 .0231 .0787 .0104 .0087 .0504 .0282 .0436 .0426 .4338 1.7308 1.0000 1.0000 1 .0000 1.0000 0.0155 .0001 .0002 .0003 .0237 .0325 .0002 .0080 .0122 .0218 .0274 .0813 .0019 .0058 .0234 .0395 .0050 .0206 .0142 .0008 1.0154 .0013 .0507 .0353 .0374 .0794 .0683 .0456 .0301 .1176 .0134 .0118 .1276 .0392 .0640 .0616 .6362 2.1328 0.0147 .0001 .0002 .0003 .0220 .0308 .0001 .0077 .0082 .0244 .0147 .0137 .0016 .0024 .0138 .0256 .0052 .0308 .0132 .0007 1.0193 .0012 .0359 .0347 .0328 .0792 .0644 .0366 .0258 .1114 .0114 .0110 .0587 .0368 .0615 .0484 .6117 1.8994 0.0160 .0001 .0002 .0003 .0235 .0335 .0001 .0081 .0120 .0245 .0269 .0186 .0019 .0201 .0028 .0052 .0089 .0032 .0146 .0007 1.0063 .0013 .0579 .0359 .0404 .0707 .0697 .0452 .0446 .1201 .0184 .0126 .0833 .0482 .0630 .0799 .6266 2.0186 0.0092 .0001 .0001 .0003 .0164 .0190 .0002 .0046 .0315 .0266 .0182 .0265 .0012 .0015 .0076 .0121 .0036 .0092 .0081 .0004 1.0050 .0010 .0381 .0244 .0239 .0640 .0392 .0341 .0186 .0667 .0088 .0070 .0547 .0237 .0368 .0377 .3664 1.6802 0.0107 .0002 .0002 .0164 .0220 .0001 .0053 .0118 .0311 .0105 .0069 .0013 .0018 .0642 .0034 .0063 .0022 .0095 .0005 .0015 1.0019 .0439 .0288 .0278 .1206 .0452 .0323 .0248 .0799 .0106 .0096 .0669 .0321 .0418 .0440 .4153 1.8163 1 .0000 1.0000 0.0169 .0001 .0003 .0003 .0293 .0357 .0001 .0088 .0391 .0376 .0163 .0089 .0020 .0029 .0286 .0159 .0085 .0032 .0157 .0008 .0021 1 .0027 .0739 .0400 .0669 .0883 .0717 .0459 .0389 .1219 .0140 .0133 .0847 .0495 .0674 .0592 .6706 2.1112 0.0149 .0001 .0002 .0003 .0232 .0308 .0002 .0090 .0160 .0590 .0157 .0231 .0087 .0048 .0089 .0053 .0054 .0028 .0133 .0007 .0021 1.0038 .0460 .0464 .0437 .0667 .0628 .0394 .0304 .1050 .0140 .0104 .0814 .0404 .0585 .0661 .5819 1.9595 0.0147 .0001 .0002 .0003 .0243 .0304 .0003 .0075 .0090 .0419 .0166 .0194 .0092 .0021 .0030 .0055 .0051 .0139 .0128 .0007 .0019 1.0211 .0464 .0376 .0349 .0781 .0626 .0380 .0265 .1059 .0128 .0107 .0709 .0382 .0591 .0522 .5882 1.9137 0.0121 .0001 .0002 .0003 .0185 .0241 .0016 .0089 .0487 .0342 .0519 .0493 .0125 .0018 .0098 .0134 .0039 .0056 .0102 .0016 .0017 1.0058 .0550 .0280 .0321 .0790 .0489 .0343 .0232 .0836 .0096 .0089 .0536 .0299 .0450 .0499 .4480 1.8969 Note.— The column industries are identified In appendix B, and the row industries are iden- sum of the entries In rows 1-37; these entries include earnings paid to households employed tified in appendix C. In Industries 1-37. Each column total excludes the entry In row 38; this entry Is the sum of Each entry measures the change in output in each row industry that results from a $1 earnings paid to households. Column entries may not sum to totals due to rounding, change in output delivered to final demand by the column industry. Each column total is the REGIONAL MULTIPLIERS 51 Table 1.1— Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area— Continued [Dollars] 64.0302 64.0400 64.0501 64.0502 64.0503 64.0504 64.0700 64.0800 64.0900 64.1000 64.1100 64.1200 65.0100 65.0200 65.0300 65.0400 1 ... 2 ... 3 ... 4 .... 5 ... 6 ... 7 ... 8 ... 9 ... 10 ... 11 ... 12 ... 13 ... 14 .... 15 ... 16 ... 17 .... 18 ... 19 .... 20 .... 21 .... 22 ... 23 .... 24 .... 25 .... 26 .... 27 .... 28 .... 29 .... 30 .... 31 .... 32 .... 33 .... 34 .... 35 .... 36 .... 37 .... 38 .... Total 0.0140 .0002 .0003 .0250 .0298 .0029 .0079 .0148 .0281 .0453 .0097 .0022 .0021 .0027 .0061 .0049 .0027 .0124 .0006 .0018 1 .0096 .0575 .0319 .0341 .0947 .0589 .0500 .0288 .1131 .0114 .0123 .0694 .0383 .0552 .0803 .5486 1.9590 0.0136 .0001 .0002 .0005 .0195 .0265 .0006 .0106 .0188 .0256 .0368 .0341 .0069 .0030 .0427 .0109 .0055 .0108 .0106 .0006 .0018 1.0061 .0519 .0275 .0355 .0943 .0512 .0471 .0242 .0870 .0101 .0097 .0577 .0329 .0474 .0527 .4712 1.9147 1.0000 1.0000 0.0141 .0001 .0002 .0006 .0241 .0281 .0003 .0070 .0128 .0425 .0204 .0411 .0726 .0220 .0041 .0173 .0041 .0029 .0118 .0006 .0017 1.0034 .0592 .0402 .0357 .1443 .0578 .0357 .0249 .1000 .0121 .0103 .0742 .0360 .0538 .0586 .5355 2.0746 0.0174 .0001 .0002 .0004 .0324 .0365 .0001 .0088 .0084 .0578 .0219 .0300 .0111 .0030 .0370 .0135 .0070 .0035 .0154 .0008 .0022 1.0039 .0491 .0516 .0553 .0670 .0744 .0431 .0304 .1297 .0153 .0138 .0904 .0485 .0704 .0674 .7000 2.1178 .0 1.0000 1.0000 0.0139 .0001 .0002 .0003 .0232 .0293 .0013 .0073 .0091 .0456 .0282 .0168 .0015 .0020 .0310 .0052 .0050 .0026 .0125 .0006 .0018 1 .0050 .0517 .0399 .0457 .0613 .0607 .0376 .0270 .1000 .0125 .0104 .0705 .0377 .0569 .0560 .5661 1.9109 0.0140 .0001 .0002 .0003 .0225 .0289 .0006 .0071 .0123 .0495 .0301 .0097 .0143 .0020 .0120 .0126 .0048 .0027 .0120 .0006 .0019 1.0039 .0513 .0407 .0335 .0666 .0590 .0367 .0253 .0988 .0126 .0103 .0715 .0376 .0556 .0491 .5535 1.8907 1.0000 1.0000 0.0139 .0001 .0002 .0004 .0248 .0293 .0016 .0073 .0067 .0706 .0274 .0104 .0042 .0024 .0566 .0340 .0058 .0035 .0123 .0006 .0018 1.0051 .0560 .0500 .0398 .1259 .0594 .0404 .0267 .1023 .0142 .0112 .0873 .0391 .0557 .0540 .5537 2.0811 0.0169 .0001 .0002 .0003 .0251 .0350 .0001 .0094 .0216 .0664 .0338 .0374 .0177 .0035 .0341 .0129 .0072 .0072 .0149 .0008 .0023 1.0116 .0585 .0502 .0376 .0953 .0723 .0456 .0322 .1266 .0156 .0124 .0891 .0464 .0673 .0650 .6695 2.1729 0.0197 .0001 .0002 .0005 .0329 .0386 .0002 .0082 .0259 .0499 .0359 .0230 .0087 .0029 .0173 .0170 .0128 .0032 .0129 .0007 .0022 1.0093 .0529 .0411 .0352 .0887 .0629 .0402 .0273 .1082 .0131 .0110 .0935 .0483 .0584 .0560 .5809 2.0587 0.0163 .0002 .0014 .1572 .0325 .0001 .0081 .0059 .0193 .0165 .0099 .0045 .0080 .0078 .0142 .0095 .0063 .0142 .0024 .0019 .0012 1.1198 .0278 .0272 .0626 .0744 .0475 .0306 .1134 .0129 .0112 .0850 .0406 .0636 .0668 .6327 2.1208 0.0228 .0001 .0002 .0004 .0347 .0479 .0001 .0126 .0079 .0289 .0212 .0134 .0023 .0031 .0036 .0105 .0035 .0063 .0251 .0014 .0026 .0017 1.0968 .0399 .0374 .0739 .1128 .0636 .0556 .1646 .0168 .0186 .0723 .0561 .0959 .0966 .9538 2.2509 0.0200 .0001 .0002 .0003 .0279 .0387 .0001 .0096 .0072 .0242 .0156 .0093 .0020 .0020 .0026 .0068 .0032 .0043 .0195 .0009 .0022 .0014 1.2716 .0503 .0374 .0628 .1143 .0525 .0470 .1510 .0148 .0146 .0738 .0489 .0761 .1037 .7574 2.3168 0.0148 .0001 .0002 .0003 .0256 .0293 .0001 .0106 .0060 .0259 .0138 .0096 .0017 .0018 .0103 .0161 .0175 .0041 .0120 .0040 .0019 .0018 1.1027 .0347 .0449 .0589 .0565 .0952 .0273 .1281 .0109 .0105 .1122 .0351 .0531 .0514 .5277 2.0286 65.0500 65.0600 65.0701 65.0702 66.0000 67.0000 68.0100 68.0200 68.0301 68.0302 69.0100 69.0200 70.0150 70.0300 70.0400 70.0500 1 .... 2 .... 3 .... 4 .... 5 .... 6 .... 7 .... 8 .... 9 .... 10 .... 11 .... 12 .... 13 .... 14 .... 15 .... 16 .... 17 .... 18 .... 19 .... 20 .... 21 .... 22 .... 23 .... 24 .... 25 .... 26 .... 27 .... 28 .... 29 .... 30 .... 31 .... 32 .... 33 .... 34 .... 35 .... 36 .... 37 .... 38 .... Total 0.0170 .0003 .0003 .0256 .0363 .0001 .0077 .0061 .0332 .0127 .0074 .0016 .0017 .0018 .0046 .0025 .0032 .0131 .0011 .0019 .0014 1.1587 .0504 .0280 .0684 .0646 .0700 .0353 .1206 .0126 .0165 .0809 .0675 .0605 .0528 .6020 2.0664 0.0066 .0002 .0006 .0006 .0626 .0129 .0002 .0072 .0028 .0097 .0071 .0041 .0018 .0032 .0035 .0064 .0079 .0046 .0060 .0003 .0008 .0005 1 .0336 .0141 .1010 .0275 .0298 .0457 .0231 .0518 .0102 .0056 .0407 .0161 .0251 .0397 .2494 1.6135 0.0238 .0001 .0002 .0004 .0337 .0492 .0001 .0113 .0130 .0472 .0180 .0160 .0050 .0025 .0027 .0067 .0035 .0043 .0199 .0021 .0027 .0019 1.2050 .0700 .0381 .0621 .0973 .1254 .0798 .2012 .0188 .0187 .1213 .0786 .0903 .0997 .8978 2.5704 0.0266 .0001 .0002 .0004 .0383 .0550 .0001 .0126 .0089 .0653 .0194 .0119 .0024 .0027 .0026 .0063 .0030 .0049 .0222 .0011 .0031 .0025 1 .0769 .0991 .0638 .0603 .1068 .0938 .0745 .2295 .0213 .0199 .1513 .0867 .1016 .0852 1.0109 2.5604 0.0120 .0001 .0006 .0664 .0244 .0001 .0064 .0048 .0230 .0122 .0095 .0022 .0035 .0030 .0083 .0024 .0161 .0107 .0006 .0015 .0011 .0334 1.2810 .0284 .0379 .0527 .0442 .0221 .1016 .0119 .0113 .0613 .0307 .0479 .0431 .4770 2.0166 0.0162 .0001 .0003 .0290 .0345 .0001 .0083 .0055 .0236 .0134 .0076 .0018 .0019 .0018 .0044 .0021 .0073 .0139 .0008 .0038 .0012 .0436 1.0503 .0258 .0429 .0681 .0481 .0275 .1655 .1570 .0229 .0828 .0443 .0647 .0567 .6435 2.0776 0.0084 .0022 .0007 .0007 .0799 .0165 .0001 .0041 .0032 .0102 .0099 .0053 .0023 .0040 .0030 .0063 .0028 .0035 .0072 .0005 .0011 .0006 .0571 .0159 1 .0523 .0335 .0376 .0331 .0237 .0593 .0062 .0077 .0436 .0198 .0327 .0336 .3249 1.6283 0.0067 .0133 .0002 .0230 .0138 ,0035 .0022 .0074 .0056 .0032 .0009 .0013 .0012 .0025 .0012 .0017 .0060 .0004 .0008 .0005 .0243 .0115 1.2849 .0219 .0301 .0250 .0132 .0503 .0050 .0053 .0282 .0160 .0278 .0386 .2767 1.6774 0.0207 .0001 .0002 .0025 .2529 .0383 .0002 .0092 .0264 .0338 .0599 .0861 .0069 .0163 .0104 .0391 .0081 .0141 .0171 .0008 .0033 .0018 .0851 .0628 1.0447 .0972 .0844 .0935 .2022 .1540 .0218 .0308 .1468 .0508 .0706 .0678 .7023 2.8611 0.0189 .0001 .0012 .0006 .0387 .0388 .0001 .0094 .0070 .0223 .0271 .0106 .0038 .0026 .0063 .0160 .0046 .0050 .0586 .0009 .0052 .0015 .0757 .0342 1.1456 .0817 .0878 .0556 .1365 .1272 .0140 .0240 .0754 .0479 .0754 .0667 .7499 2.3269 0.0173 .0001 .0002 .0003 .0277 .0356 .0001 .0087 .0187 .0384 .0143 .0104 .0040 .0020 .0025 .0063 .0037 .0034 .0152 .0008 .0021 .0016 .0522 .0491 .0362 1.0651 .0732 .0549 .0310 .1370 .0186 .0160 .1125 .0520 .0674 .0753 .6704 2.0538 0.0205 .0001 .0002 .0004 .0408 .0425 .0001 .0101 .0133 .0457 .0163 .0100 .0022 .0026 .0026 .0063 .0028 .0039 .0178 .0009 .0023 .0021 .0503 .0567 .0520 .0512 1 .0875 .0564 .0372 .1928 .0176 .0188 .1174 .0579 .0806 .0826 .8020 2.2024 0.0207 .0001 .0002 .0004 .0351 .0422 .0001 .0102 .0101 .0490 .0159 .0103 .0020 .0024 .0023 .0056 .0028 .0046 .0175 .0012 .0032 .0020 .1050 .0669 .0381 .0539 .0858 1.2365 .0553 .1785 .0175 .0158 .1825 .0602 .0802 .0776 .7973 2.4913 0.0248 .0001 .0002 .0003 .0291 .0521 .0001 .0127 .0077 .0359 .0184 .0110 .0022 .0022 .0023 .0056 .0026 .0043 .0221 .0013 .0029 .0017 .1063 .0561 .0379 .0581 .1074 1.1851 .0445 .1922 .0218 .0176 .1292 .0660 .1027 .0798 1.0218 2.4444 0.0228 .0001 .0002 .0003 .0305 .0474 .0001 .0111 .0081 .0428 .0166 .0101 .0020 .0021 .0022 .0053 .0024 .0041 .0192 .0010 .0029 .0019 .0621 .0641 .0348 .0526 .0935 .1335 1.4459 .1878 .0224 .0166 .1103 .0726 .0889 .0743 .8838 2.6926 0.0216 .0001 .0002 .0003 .0276 .0451 .0001 .0105 .0078 .0412 .0157 .0096 .0019 .0020 .0020 .0050 .0023 .0039 .0183 .0010 .0028 .0018 .0614 .0669 .0349 .0501 .0885 .0520 1 .0740 .1731 .0216 .0166 .1044 .0704 .0841 .0716 .8367 2.1906 Note.— The column industries are identified in appendix B, and the row industries are iden- tified in appendix C. Each entry measures the change in output in each row industry that results from a $1 change in output delivered to final demand by the column industry. Each column total is the sum of the entries in rows 1-37; these entries include earnings paid to households employed in industries 1-37. Each column total excludes the entry in row 38; this entry is the sum of earnings paid to households. Column entries may not sum to totals due to rounding. 52 REGIONAL MULTIPLIERS Table 1.1 — Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area — Continued [Dollars] 71.0100 71.0201 71.0202 72.0100 72.0201 72.0202 72.0203 72.0204 72.0205 72.0300 73.0101 73.0102 73.0103 73.0104 73.0105 73.0106 1 .... 2 .... 3 .... 4 .... 5 .... 6 .... 7 .... 8 .... 9 .... 10 .... 11 .... 12 .... 13 .... 14 .... 15 .... 16.... 17 .... 18 .... 19 .... 20 .... 21 .... 22 .... 23 .... 24 .... 25 .... 26 .... 27 .... 28 .... 29 .... 30 .... 31 .... 32 .... 33 .... 34 .... 35 .... 36 .... 37 .... 38 .... Total 0.0109 .0005 .0547 .0048 .0012 .0011 .0040 .0042 .0021 .0013 .0026 .0015 .0036 .0013 .0013 .0020 .0001 .0003 .0002 .0079 .0057 .0042 .0094 .0126 .0148 .0451 1 .0559 .0022 .0018 .0245 .0066 .0092 .0096 .0913 1.3074 0.0129 .0001 .0007 .0764 .0127 .0028 .0032 .0217 .0078 .0054 .0021 .0039 .0023 .0055 .0017 .0025 .0049 .0003 .0008 .0007 .0228 .0218 .0110 .0204 .0269 .0377 .0360 1.1351 .0073 .0065 .0605 .0241 .0220 .0266 .2188 1.8271 1.0000 1.0000 0.0261 .0001 .0004 .0008 .0660 .0422 .0003 .0199 .0104 .0402 .0307 .0280 .0029 .0079 .0033 .0079 .0035 .0057 .0176 .0011 .0029 .0025 .0620 .0559 .0757 .0662 .0873 .0993 .0382 .1734 1.0159 .0310 .1411 .0471 .0802 .0913 .7972 2.3848 0.0278 .0001 .0006 .0005 .0460 .0571 .0007 .0424 .0163 .0414 .0362 .0281 .0029 .0031 .0038 .0097 .0045 .0054 .0243 .0012 .0033 .0024 .0746 .0607 .0887 .0834 .1180 .0816 .0511 .2401 .0209 1.1046 .1345 .0758 .1099 .1254 1 .0927 2.7272 0.0224 .0001 .0002 .0016 .0534 .0449 .0002 .0132 .0080 .0386 .0251 .0138 .0028 .0571 .0057 .0085 .0029 .0043 .0193 .0010 .0025 .0232 .0651 .0565 .0462 .0784 .0958 .0545 .0385 .1793 .0170 1.0166 .0903 .0509 .0901 .0743 .8962 2.3022 0.0219 .0001 .0003 .0004 .0404 .0446 .0002 .0145 .0160 .1082 .0193 .0129 .0024 .0027 .0030 .0070 .0047 .0056 .0185 .0010 .0138 .0024 .0776 .0770 .0526 .0721 .0906 .0917 .0400 .2303 .0189 1.0265 .4264 .0632 .0846 .1190 .8412 2.8103 0.0124 .0001 .0002 .0205 .0260 .0001 .0065 .0050 .0203 .0108 .0110 .0015 .0014 .0027 .0053 .0083 .0122 .0112 .0006 .0016 .0010 .0315 .0387 .0265 .0680 .0551 .0313 .0229 .1109 .0102 1.0105 .0461 .0311 .0517 .0513 .5146 1.7447 0.0737 .0001 .0002 .0007 .0525 .0888 .0013 .0120 .0140 .0366 .0286 .1247 .0067 .0038 .0060 .0176 .0064 .0060 .0161 .0008 .0024 .0024 .0560 .0551 .0413 .1045 .0816 .0553 .0335 .1605 .0148 1.0168 .0874 .0482 .0749 .0800 .7409 2.4115 0.0281 .0001 .0003 .0005 .0479 .0578 .0002 .0150 .0117 .0452 .0357 .0627 .0031 .0034 .0036 .0102 .0038 .0082 .0252 .0013 .0035 .0066 .0691 .0718 .0687 .0863 .1235 .0740 .0527 .2832 .0233 1 .0228 .0930 .0671 .1158 .1200 1.1519 2.6452 0.0152 .0001 .0002 .0004 .0397 .0313 .0001 .0081 .0061 .0255 .0174 .0208 .0020 .0028 .0069 .0094 .0510 .0041 .0139 .0009 .0022 .0014 .0385 .0437 .0327 .0743 .0679 .0381 .0282 .1275 .0120 .0116 1.0743 .0383 .0620 .0633 .6171 1.9719 0.0272 .0001 .0003 .0004 .0351 .0542 .0002 .0148 .0135 .0350 .0662 .0153 .0025 .0027 .0031 .0078 .0048 .0073 .0233 .0012 .0031 .0023 .0616 .0570 .0449 .0856 .1134 .0712 .0472 .1857 .0200 .0211 1.1220 .0671 .1062 .1007 1 .0567 2.4242 0.0301 .0001 .0002 .0004 .0316 .0632 .0002 .0157 .0097 .0332 .0220 .0127 .0026 .0024 .0027 .0065 .0029 .0049 .0270 .0014 .0036 .0021 .0597 .0590 .0445 .0673 .1325 .0727 .0517 .2142 .0220 .0215 1.0973 .0724 .1276 .0944 1 .2692 2.4121 0.0222 .0001 .0002 .0003 .0299 .0463 .0002 .0113 .0104 .0646 .0198 .0271 .0022 .0022 .0026 .0061 .0042 .0092 .0196 .0010 .0029 .0017 .0621 .0721 .0383 .0692 .0961 .0652 .0396 .1858 .0174 .0163 1.1730 .0586 .0911 .0814 .9064 2.3503 0.0243 .0001 .0002 .0004 .0345 .0510 .0002 .0118 .0099 .0505 .0236 .0191 .0023 .0031 .0030 .0069 .0047 .0104 .0204 .0011 .0030 .0019 .1088 .0631 .0420 .0703 .0983 .0739 .0429 .1979 .0233 .0167 1 .2205 .0691 .0915 .0983 .9090 2.4989 0.0255 .0001 .0002 .0004 .0374 .0535 .0002 .0134 .0075 .0296 .0192 .0122 .0024 .0026 .0026 .0062 .0028 .0053 .0229 .0012 .0036 .0018 .0509 .0702 .0429 .0590 .1126 .0625 .0446 .1987 .0324 .0182 1.1171 .0616 .1078 .0830 1.0727 2.3123 73.0107 73.01 73.0109 73.0200 73.0301 73.0302 73.0303 74.0000 75.0001 75.0002 75.0003 76.0101 76.0102 76.0201 76.0202 76.0203 1 .... 2 .... 3 .... 4 .... 5 .... 6 .... 7 .... 8 .... 9 .... 10 .... 11 .... 12 .... 13 .... 14 .... 15 .... 16 .... 17 .... 18 .... 19 .... 20 .... 21 .... 22 .... 23 .... 24 .... 25 .... 26 .... 27 .... 28 .... 29 .... 30 .... 31 .... 32 ..., 33 .... 34 .... 35 .... 36 ... 37 ... 38 ... Total 0.0166 .0001 .0002 .0003 .0266 .0343 .0001 .0087 .0068 .0326 .0139 .0114 .0017 .0018 .0028 .0087 .0078 .0038 .0144 .0008 .0030 .0024 .0544 .0475 .0349 .0495 .0705 .0569 .0508 .1479 .0140 .0152 1.2039 .0458 .0666 .0637 .6625 2.1202 0.0189 .0001 .0002 .0003 .0288 .0392 .0001 .0094 .0080 .0340 .0149 .0101 .0019 .0021 .0024 .0054 .0031 .0065 .0162 .0008 .0165 .0015 .0648 .0527 .0341 .0553 .0796 .0590 .0331 .1634 .0162 .0140 1 .2753 .0546 .0752 .0704 .7484 2.2680 0.0185 .0001 .0002 .0003 .0271 .0384 .0001 .0090 .0112 .0639 .0176 .0244 .0019 .0020 .0037 .0096 .0085 .0044 .0156 .0008 .0041 .0019 .0609 .0572 .0338 .0583 .0768 .0568 .0326 .1444 .0165 .0132 1.1128 .0580 .0721 .0729 .7170 2.1296 0.0241 .0001 .0002 .0004 .0358 .0500 .0002 .0125 .0098 .0721 .0198 .0122 .0023 .0025 .0026 .0063 .0030 .0045 .0214 .0011 .0030 .0019 .0572 .0794 .0383 .0602 .1035 .0662 .0435 .2285 .0314 .0198 1.1048 .0663 .0973 .0963 .9678 2.3785 0.0282 .0001 .0003 .0004 .0375 .0585 .0002 .0146 .0120 .0388 .0222 .0135 .0028 .0028 .0032 .0078 .0034 .0055 .0263 .0013 .0047 .0023 .0916 .0673 .0465 .0734 .1247 .0710 .0546 .2554 .0417 .0235 1.1440 .0706 .1163 .1213 1.1556 2.5882 0.0246 .0001 .0002 .0004 .0307 .0512 .0002 .0127 .0096 .0390 .0192 .0150 .0023 .0023 .0027 .0066 .0037 .0049 .0218 .0011 .0032 .0020 .0575 .0559 .0397 .0610 .1067 .0773 .0436 .2092 .0254 .0197 1 .4094 .0624 .1019 .0892 1.0134 2.6124 0.0234 .0001 .0002 .0003 .0291 .0484 .0001 .0116 .0101 .0479 .0190 .0132 .0021 .0022 .0026 .0057 .0038 .0093 .0201 .0010 .0033 .0027 .0575 .0554 .0373 .0680 .0981 .0677 .0407 .2097 .0208 .0202 1.4130 .0658 .0935 .0801 .9300 2.5843 0.0860 .0001 .0002 .0005 .0329 .1829 .0001 .0085 .0143 .0332 .0172 .0169 .0020 .0027 .0026 .0062 .0033 .0035 .0146 .0008 .0019 .0017 .0527 .0387 .0472 .0952 .0718 .0522 .0311 .1600 .0149 .0146 .0866 1.0422 .0681 .0613 .6724 2.2686 0.0153 .0001 .0004 .0003 .0266 .0308 .0001 .0097 .0085 .0278 .0206 .0179 .0018 .0043 .0068 .0270 .0210 .0067 .0256 .0013 .0020 .0014 .0756 .0404 .0362 .0887 .0936 .1344 .0930 .1262 .0135 .0191 .1262 .0495 .0563 1.1080 .5598 2.3168 0.0141 .0001 .0002 .0003 .0257 .0291 .0001 .0078 .0057 .0234 .0183 .0113 .0018 .0041 .0078 .0274 .0054 .0105 .0576 .0007 .0018 .0012 .0386 .0388 .0337 .0709 .1034 .0364 .0256 .1346 .0111 .0293 .0543 .0348 .0578 1.0520 .5754 1.9756 0.0196 .0001 .0003 .0005 .0525 .0383 .0001 .0123 .0078 .0388 .0159 .0117 .0024 .0034 .0045 .0086 .0043 .0293 .0158 .0008 .0025 .0022 .0614 .0476 .0551 .0623 .0795 .0618 .0366 .2917 .0165 .0205 .2250 .0628 .0700 1.0958 .6962 2.4585 0.0174 .0001 .0002 .0003 .0280 .0443 .0002 .0097 .0064 .0550 .0172 .0084 .0024 .0019 .0019 .0046 .0022 .0031 .0146 .0010 .0033 .0017 .0477 .0511 .0330 .0439 .0714 .0470 .0302 .1486 1.2181 .0121 .0809 .0432 .0675 .0604 .6713 2.1787 0.0167 .0001 .0002 .0003 .0282 .0355 .0001 .0086 .0058 .0313 .0138 .0097 .0018 .0019 .0024 .0069 .0051 .0035 .0146 .0008 .0022 .0020 .0442 .0514 .0343 .0439 .0717 .0485 .0411 .1566 1.1418 .0133 .1333 .0428 .0681 .0590 .6776 2.1413 0.0206 .0001 .0002 .0004 .0393 .0428 .0002 .0184 .0083 .0465 .0170 .0107 .0045 .0026 .0027 .0062 .0031 .0074 .0178 .0009 .0029 .0019 .0541 .0553 .0499 .0580 .0867 .0582 .0359 .1890 1.0646 .0169 .3351 .0561 .0820 .0969 .8161 2.4933 0.0235 .0002 .0004 .0007 .0734 .0452 .0001 .0110 .0090 .0458 .0218 .0132 .0030 .0042 .0038 .0086 .0061 .0057 .0183 .0010 .0029 .0051 .0669 .0546 .0966 .0627 .0910 .0737 .0397 .2356 1.0185 .0501 .2783 .0677 .0847 .0925 .8420 2.6153 0.0685 .0001 .0004 .0008 .0689 .0870 .0003 .0202 .0128 .0531 .0316 .0199 .0041 .0044 .0045 .0110 .0050 .0070 .0349 .0018 .0048 .0052 .1001 .0797 .0742 .1020 .1725 .1119 .0709 .3500 1.4303 .0329 .1888 .0998 .1632 .1322 1.6237 3.5548 Note. — The column Industries are Identified In appendix B, and the row industries are Iden- tified in appendix C. Each entry measures the change in output in each row industry that results from a $1 change in output delivered to final demand by the column Industry. Each column total Is the sum of the entries In rows 1-37; these entries Include earnings paid to households employed in industries 1-37. Each column total excludes the entry In row 38; this entry is the sum of earnings paid to households. Column entries may not sum to totals due to rounding. REGIONAL MULTIPLIERS 53 Table 1.1— Final-Demand Output Multipliers, Kansas City, MO-KS Economic Area— Continued [Dollars] 76.0204 76.0205 76.0206 77.0100 77.0200 77.0301 77.0302 77.0401 77.0402 77.0403 77.0501 77.0502 77.0503 77.0504 77.0600 77.0700 1 0.0349 0.0363 0.0426 0.0226 0.0326 0.0370 0.0203 0.0324 0.0275 0.0354 0.0202 0.0216 0.0252 0.0242 0.0217 0.0346 2 3 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 4 .0002 .0002 .0002 .0002 .0003 .0004 .0002 .0002 .0002 .0003 .0002 .0003 .0002 .0002 .0002 .0003 5 .0004 .0006 .0005 .0004 .0005 .0008 .0006 .0017 .0009 .0004 .0005 .0008 .0010 .0005 .0004 .0004 6 .0322 .0545 .0452 .0305 .0360 .0828 .0284 .1801 .1000 .0324 .0411 .0655 .1064 .0466 .0336 .0261 7 .0384 .0387 .0517 .0468 .0617 .0693 .0409 .0557 .0464 .0427 .0412 .0399 .0461 .0416 .0422 .0638 8 .0001 .0001 .0001 .0002 .0003 .0002 .0002 .0001 .0001 .0002 .0001 .0002 .0002 .0002 .0004 .0001 9 .0075 .0115 .0103 .0118 .0167 .0157 .0103 .0117 .0116 .0103 .0098 .0099 .0175 .0098 .0104 .0064 10 .0070 .0457 .0141 .0154 .0018 .0020 .0022 .0054 .0028 .0032 .0130 .0076 .0425 .0183 .0097 .0024 .0031 .0028 .0066 .0032 .0044 .0161 .0083 .0399 .0202 .0270 .0023 .0029 .0034 .0072 .0035 .0046 .0168 .0116 .0318 .0266 .0186 .0023 .0027 .0028 .0073 .0029 .0042 .0202 .0128 .0376 .0568 .0463 .0024 .0037 .0032 .0083 .0032 .0052 .0205 .0102 .0320 .0465 .0248 .0035 .0049 .0040 .0096 .0038 .0065 .0220 .0093 .0274 .0639 .0384 .0022 .0036 .0026 .0063 .0029 .0043 .0173 .0116 .0403 .0258 .0140 .0054 .0100 .0060 .0143 .0044 .0088 .0203 .0108 .0511 .0227 .0129 .0036 .0061 .0043 .0098 .0043 .0072 .0203 .0173 .1234 .0235 .0161 .0022 .0052 .0041 .0089 .0036 .0094 .0191 .0162 .3476 .0260 .0166 .0023 .0027 .0026 .0065 .0036 .0045 .0171 .0225 .1765 .0247 .0145 .0037 .0048 .0045 .0101 .0041 .0056 .0162 .0105 .0310 .0189 .0112 .0037 .0057 .0040 .0097 .0033 .0054 .0199 .0193 .1945 .0255 .0142 .0023 .0032 .0030 .0070 .0041 .0042 .0168 .0145 .0367 .0246 .0400 .0191 .0027 .0121 .0349 .0037 .0045 .0179 .0115 11 .0549 12 .0172 13 .0418 14 .0016 15 .0018 16 .0021 17 .0054 18 .0021 19 .0089 20 .0112 21 .0007 .0018 .0033 .0011 .0011 .0011 .0009 .0011 .0012 .0010 .0009 .0009 .0010 .0009 .0009 .0006 22 .0021 .0033 .0026 .0104 .0195 .0080 .0117 .0034 .0047 .0035 .0033 .0034 .0033 .0029 .0026 .0031 23 .0032 .0029 .0041 .0017 .0018 .0018 .0016 .0025 .0025 .0028 .0033 .0031 .0034 .0019 .0054 .0030 24 .0517 .0496 .0548 .0603 .0551 .0591 .0595 .0585 .0795 .0709 .1863 .1304 .0554 .1108 .0583 .0909 25 .0404 .0487 .0485 .0521 .0443 .0471 .0450 .0467 .0525 .0710 .0472 .0511 .0475 .0484 .0440 .0476 26 .0391 .0743 .0390 .0392 .0525 .0685 .0361 .0490 .0452 .0442 .0599 .0614 .0416 .0487 .0442 .0427 27 .0495 .0514 .0595 .0652 .0850 .0802 .0783 .0743 .0684 .0751 .0829 .0712 .0636 .0763 .0789 .0570 28 .0644 .0802 .0834 .0993 .1006 .1093 .0847 .1054 .0996 .0892 .0839 .0795 .1003 .0814 .0875 .0543 29 .0718 .0520 .0563 .0618 .0561 .0637 .0539 .0599 .0638 .0897 .0672 .0528 .0581 .0556 .0696 .0453 30 .0283 .0334 .0355 .0493 .0443 .0460 .0358 .0474 .0481 .0495 .0378 .0399 .0585 .0431 .0418 .0235 31 .1790 .1714 .2209 .1943 .2526 .2150 .1836 .2611 .3208 .2087 .1617 .2625 .3359 .1960 .2003 .1384 32 1.2343 1.0149 1.0194 .0181 .0174 .0184 .0164 .0193 .0187 .0317 .0174 .0375 .0257 .0301 .0190 .0154 33 .0178 .0204 .0242 .0164 .0214 .0224 .0145 .0179 .0188 .0162 .0191 .0167 .0174 .0179 .0182 .0115 34 .1375 .1496 .1411 .1112 .1043 .1052 .0997 .1301 .1172 .1838 .1211 .1544 .0877 .1293 .1294 .0845 35 .0444 .0518 .0539 .0538 .0622 .0645 .0481 .0640 .0577 .0558 .0562 .0648 .0546 .0539 .0506 .0351 36 .0596 .0747 .0779 1.1445 1.0952 1.1012 1.0801 .0934 .0913 .0823 .0781 .0720 .0916 .0741 .0832 .0510 37 .0670 .0767 .0752 .0858 .0825 .0972 .0711 1.0888 1.0883 1.0886 1.0971 1.0833 1.0840 1.0858 1.0688 1.0473 38 .5929 .7431 .7741 .9336 .9469 1.0057 .7972 .9286 .9078 .8179 .7770 .7154 .9109 .7365 .8275 .5063 Total 2.3169 2.2157 2.2867 2.3080 2.4442 2.4826 2.2000 2.5656 2.5182 2.5185 2.6824 2.6301 2.4497 2.4743 2.3226 2.0414 77.0800 77.0900 78.0100 78.0200 78.0500 79.0000 91.0000 1 0.1049 0.0387 0.0253 0.0466 0.0185 0.0330 2 3 .0001 .0001 .0001 .0005 .0001 4 .0005 .0005 .0002 .0002 .0009 .0003 5 .0005 .0008 .0004 .0002 .0025 .0004 6 .0383 .0757 .0325 .0151 .2577 .0313 7 .1778 .0718 .0524 .0794 .0321 .0704 8 .0002 .0002 .0002 .0001 .0001 .0002 9 .0176 .0108 .0138 .0065 .0083 .0177 10 .0109 .0121 .0081 .0061 .0066 .0090 11 .0294 .1285 .0333 .0285 .0207 .0282 12 .0311 .0247 .0197 .0127 .0276 .0240 13 .0192 .0229 .0115 .0121 .0116 .0136 14 .0022 .0031 .0023 .0012 .0066 .0028 15 .0025 .0043 .0024 .0012 .0126 .0025 16 .0026 .0063 .0035 .0083 .0028 .0065 .0039 .0180 .0082 .0174 .0027 17 .0068 18 .0031 .0034 .0032 o .0043 0116 0029 19 .0041 .0053 .0048 .0043 .0110 .0050 20 .0170 .0187 .0268 .0116 .0150 .0304 21 .0009 .0010 .0012 .0014 .0011 .0016 22 .0025 .0031 .0029 .0017 .0020 .0036 23 .0034 .0040 .0018 .0009 .0013 .0021 24 .0608 .0784 1.1456 .0369 .0559 .0556 25 .0473 .0871 .0426 .0358 .0324 .0491 26 .0601 .0599 .0449 1.0000 .0367 .1198 .0471 27 .0918 .0712 .0623 .0527 .0740 .0721 28 .0837 .0929 .1128 .0551 .0765 .1490 29 .0508 .1053 .0580 .0372 .0474 .0738 30 .0368 .0392 .0457 .0229 .0376 .0570 31 .2169 .1896 .1856 .0875 .1181 .2246 32 .0167 .0274 .0183 .0135 .0125 .0236 33 .0162 .0173 .0179 .0092 .0114 .0229 34 .1254 .1514 .0746 .0468 .1232 .0740 35 .0502 .0597 .0591 .0338 .0380 .0754 36 .0796 .0867 .1060 .0527 .0633 .1440 37 1.0675 1.0738 .0968 1.0721 1.0677 .1001 38 .7857 .8613 1 .0544 .5224 .6299 1 .4331 Total 2.4787 2.5814 2.3223 1.0000 1.8490 2.3515 1.4569 Note.— The column industries are identified in appendix B, and the row industries are identified in appendix C. Each entry measures the change in output in each row industry that results from a $1 change In output delivered to final demand by the column industry. Each column total is the sum of the entries in rows 1-37; these entries Include earnings paid to households em- ployed in industries 1-37. Each column total excludes the entry in row 38; this entry is the sum of earnings paid to households. Column entries may not sum to totals due to rounding. 54 REGIONAL MULTIPLIERS Table 2.4. — Total Multipliers for Output, Earnings, and Employment by Industry Aggregation Jackson County, MO Final-demand multiplier Output ' (Dollars) (D Earnings 2 (Dollars) (2) Employment 3 (Jobs) (3) Direct-effect multiplier Earnings * (Dollars) (4) Employment 5 (Jobs) (5) Farm and agricultural services, forestry, and fishing: Farm products and agricultural, forestry, and fishing services Forestry and fishing products Mining: Coal mining Oil and gas extraction Metal mining and nonmetallic minerals, except fuels Construction: Construction Manufacturing: Food and kindred products and tobacco products Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products and petroleum and coal products Rubber and miscellaneous plastics products and leather and leather products Lumber and wood products and furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Industrial machinery and equipment Electronic and other electric equipment Motor vehicles and equipment Other transportation equipment Instruments and related products Miscellaneous manufacturing industries Transportation and public utilities: * Transportation Communications Electric, gas, and sanitary services Wholesale and retail trade: Wholesale trade Retail trade Finance, insurance, and real estate: Depository and nondepositcry institutions and security and commodity brokers .... Insurance Real estate Services: Hotels and other lodging places, amusement and recreation services, and motion pictures Personal services Business services Eating and drinking places Health services Miscellaneous services Private households 1 .7944 1 .4646 1.0000 1.4591 1.5680 1 .8723 1.5222 1 .4834 1.4528 1 .4647 1.6296 1.6214 1.5946 1.6863 1.7749 1.7600 1.7173 1.7207 1.6214 1.6967 1.5913 1.6120 1 .7072 1 .8649 1 .7956 1 .5292 1 .7245 1.8285 2.0713 2.2921 1.3669 2.0903 2.0362 1 .9597 1 .7608 1.8793 1.9062 1 .0997 0.5693 .2058 .1584 .3337 .4528 .2060 .2795 .2776 .2763 .3174 .2812 .3112 .3702 .3348 .3125 .3722 .3916 .3334 .3160 .3769 .3556 .3744 .5455 .3262 .2176 .4446 .5281 .5620 .5846 .0945 .5817 .5768 .6355 .4157 .6052 .4247 .2587 57.6 10.5 6.7 12.6 21.4 1.4820 2.6452 1 .7424 1.6527 1 .9280 1.2005 3.2337 2.1094 2.0024 1.9889 8.5 2.3723 3.0084 16.6 1.6702 1 .4722 16.5 1.6071 1 .4594 10.7 1.6510 1.9042 12.6 1.8263 2.1230 9.5 2.0873 3.2149 14.5 1.7915 1.7847 17.6 1.7619 1.7159 14.0 2.0747 2.2446 11.7 2.1557 2.6618 14.1 1.7836 2.1243 15.3 1.7314 1.9703 13.9 1.7426 1.8935 10.7 2.0014 3.0121 12.0 1.5801 2.2037 12.8 1 .6637 2.0904 20.2 1 .7844 1 .6266 22.3 1 .6545 1.8833 10.8 2.0660 3.2091 7.5 2.0277 2.9406 17.3 1.6393 2.0242 33.8 1.5506 1.3955 23.1 1.9347 2.2180 23.2 2.2017 2.601 1 6.1 5.7340 2.7711 35.3 1.8397 1.6681 41.5 1 .7482 1.4320 30.3 1 .6021 1.6620 35.9 1.6371 1 .2777 25.1 1.4845 1.6487 24.3 1 .9406 1.7071 13.7 " Includes Federal Government enterprises. 1 . Each entry in column 1 measures the total dollar change in output in all row industries that results from a $1 change in output delivered to final demand by the industry corresponding to the entry. 2. Each entry in column 2 measures the total dollar change in earnings of households employed by all row industries that results from a $1 change in output delivered to final demand by the industry corresponding to the entry. 3. Each entry in column 3 measures the total change in number of jobs in all row industries that results from a $1 million change In output delivered to final demand by the Industry cor- responding to the entry. Because the employment multipliers are based on 1992 data, the output delivered to final demand should be in 1992 dollars. 4. Each entry in column 4 measures the total dollar change in earnings of households employed by all row industries that results from a $1 change in earnings paid directly to households em- ployed by the industry corresponding to the entry. 5. Each entry in column 5 measures the total change in number of jobs in all row industries that results from a change of one job in the industry corresponding to the entry. REGIONAL MULTIPLIERS 55 Table 2.4. — Total Multipliers for Output, Earnings, and Employment by Industry Aggregation- Kansas City, MO-KS Metropolitan Area -Continued Final-demand multiplier Output ' (Dollars) (D Earnings 2 (Dollars) (2) Employment 3 (Jobs) (3) Direct-effect multiplier Earnings 4 (Dollars) (4) Employment 5 (Jobs) (5) Farm and agricultural services, forestry, and fishing: Farm products and agricultural, forestry, and fishing services Forestry and fishing products Mining: Coal mining Oil and gas extraction Metal mining and nonmetallic minerals, except fuels Construction: Construction Manufacturing: Food and kindred products and tobacco products Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products and petroleum and coal products Rubber and miscellaneous plastics products and leather and leather products Lumber and wood products and furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Industrial machinery and equipment Electronic and other electric equipment Motor vehicles and equipment Other transportation equipment Instruments and related products Miscellaneous manufacturing industries Transportation and public utilities: * Transportation Communications Electric, gas, and sanitary services Wholesale and retail trade: Wholesale trade Retail trade Finance, insurance, and real estate: Depository and nondepository institutions and security and commodity brokers .... Insurance Real estate Services: Hotels and other lodging places, amusement and recreation services, and motion pictures Personal services Business services Eating and drinking places Health services Miscellaneous services Private households 2.1363 1.7180 1.0000 1 .5642 1.8199 2.2521 2.0154 1.6974 1.6512 1.7074 1.8940 1.8357 1.9662 1.9772 2.0127 2.0070 2.0087 1 .9927 1.9033 1.7921 1.9214 1.8665 1.9511 2.1793 1 .9948 1 .6890 2.0276 2.1561 2.4879 2.6027 1.4374 2.3668 2.3700 2.3783 2.0982 2.2912 2.2065 1.3747 0.6123 .3255 .2336 .4938 .6887 .3950 .3892 .4112 .4182 .4986 .4087 .4913 .5556 .4994 .4744 .5551 .5759 .5209 .3443 .5280 .5374 .5296 .7167 .4760 .3371 .6605 .7749 .8293 .8503 .1395 .7959 .8355 .9184 .6267 .9003 .6257 .4063 42.4 20.4 15.3 20.2 33.3 2.0926 3.2339 1 .9865 1 .9398 2.2660 1.6807 2.3937 1.6603 2.3847 2.3509 19.0 3.5390 4.8870 22.8 2.0687 1.7267 23.9 1.8517 1.6813 17.1 1 .9650 2.3587 21.3 2.0931 2.4464 15.1 2.4798 4.0376 22.3 2.2264 2.3064 27.3 2.0602 2.0150 21.3 2.3445 2.6714 19.2 2.5448 3.2333 22.5 2.0880 2.5524 23.7 2.0130 2.3910 22.5 2.0141 2.2725 13.0 2.8307 4.5336 18.7 2.0030 2.9927 20.9 1 .8972 2.4461 28.4 2.1032 1.9087 30.4 2.0106 2.4347 17.2 2.3372 3.7578 12.7 2.3559 3.6683 27.5 1.8827 2.3815 49.3 1.7591 1.5458 36.8 2.2942 2.6481 35.7 2.4179 2.9416 8.8 6.8454 3.0890 50.1 2.0633 1.7681 59.3 1.9482 1 .5477 45.2 1.8730 1 .9468 50.7 1 .9078 1.4190 38.9 1.7035 1.9555 36.3 2.2868 1 .9454 21.7 ' Includes Federal Government enterprises. 1 . Each entry in column 1 measures the total dollar change in output in all row industries that results from a $1 change in output delivered to final demand by the industry corresponding to the entry. 2. Each entry in column 2 measures the total dollar change in earnings of households employed by all row industries that results from a $1 change in output delivered to final demand by the industry corresponding to the entry. 3. Each entry in column 3 measures the total change in number of jobs in all row industries that results from a $1 million change in output delivered to final demand by the industry cor- responding to the entry. Because the employment multipliers are based on 1992 data, the output delivered to final demand should be in 1992 dollars. 4. Each entry in column 4 measures the total dollar change in earnings of households employed by all row industries that results from a $1 change in earnings paid directly to households em- ployed by the industry corresponding to the entry. 5. Each entry in column 5 measures the total change in number of jobs in all row industries that results from a change of one job in the industry corresponding to the entry. 56 REGIONAL MULTIPLIERS Table 2.4. — Total Multipliers for Output, Earnings, and Employment by Industry Aggregation— Continued Kansas City, MO-KS Economic Area Final-demand multiplier Output ' (Dollars) (D Earnings 2 (Dollars) (2) Employment 3 (Jobs) (3) Direct-effect multiplier Earnings 4 (Dollars) (4) Employment 3 (Jobs) (5) Farm and agricultural services, forestry, and fishing: Farm products and agricultural, forestry, and fishing services Forestry and fishing products Mining: Coal mining Oil and gas extraction Metal mining and nonmetallic minerals, except fuels Construction: Construction Manufacturing: Food and kindred products and tobacco products Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products and petroleum and coal products Rubber and miscellaneous plastics products and leather and leather products Lumber and wood products and furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Industrial machinery and equipment Electronic and other electric equipment Motor vehicles and equipment Other transportation equipment Instruments and related products Miscellaneous manufacturing industries Transportation and public utilities: * Transportation Communications Electric, gas, and sanitary services Wholesale and retail trade: Wholesale trade Retail trade Finance, insurance, and real estate: Depository and nondepository institutions and security and commodity brokers .... Insurance Real estate Services: Hotels and other lodging places, amusement and recreation services, and motion pictures Personal services Business services Eating and drinking places Health services Miscellaneous services Private households 2.6533 1 .9748 1.8218 1 .5807 1 .8689 2.3270 2.6498 1.6891 1 .7359 1.7251 1.9207 1.8983 2.0466 2.0294 2.0524 2.0308 2.0989 2.0785 1.9596 1.9636 1.9878 1 .9246 2.0076 2.2263 2.0209 1.7034 2.0623 2.1917 2.4733 2.6292 1 .4322 2.3923 2.4157 2.4058 2.2618 2.3624 2.2759 1 .4576 0.6479 .3783 .5080 .2391 .5117 .7122 .5265 .3851 .4302 .4215 .5086 .4244 .5081 .5705 .5187 .4913 .5762 .5955 .5183 .3907 .5345 .5534 .5450 .7393 .4866 .3414 .6737 .7888 .8177 .8620 .1371 .8017 .8541 .9273 .6659 .9261 .6561 .4272 43.1 23.5 15.4 15.6 21.0 34.4 2.9133 3.7088 1 .8689 2.0064 1 .9655 2.3114 2.2460 2.7143 4.0024 1.6713 2.4225 2.3971 27.4 4.9032 7.3179 22.7 2.0726 1.7391 25.0 1.9530 1 .7679 17.3 1.9943 2.4034 21.8 2.1092 2.4708 15.8 2.5636 4.2042 23.2 2.3103 2.4134 28.0 2.1081 2.0634 22.2 2.3529 2.6874 19.9 2.5000 3.1802 23.4 2.1798 2.6740 24.6 2.0959 2.4968 22.4 2.1379 2.4186 14.8 3.0353 4.8885 19.2 2.1003 3.1788 21.7 1.9423 2.5180 29.1 2.1500 1 .9465 31.5 2.0200 2.4512 17.6 2.3470 3.7844 12.9 2.3892 3.7429 28.1 1.8949 2.4018 50.2 1.7669 1.5520 36.3 2.2753 2.6295 36.3 2.4143 2.9429 8.6 7.0028 3.1358 50.4 2.0596 1.7619 60.5 1.9549 1.5517 45.6 1 .8729 1 .9482 53.2 2.0005 1 .4683 40.1 1.7256 1 .9862 38.1 2.2691 1.9332 22.9 * Includes Federal Government enterprises. 1 . Each entry in column 1 measures the total dollar change in output in all row industries that results from a $1 change in output delivered to final demand by the industry corresponding to the entry. 2. Each entry in column 2 measures the total dollar change in earnings of households employed by all row industries that results from a $1 change in output delivered to final demand by the industry corresponding to the entry. 3. Each entry in column 3 measures the total change in number of jobs in all row industries that results from a $1 million change in output delivered to final demand by the industry cor- responding to the entry. Because the employment multipliers are based on 1992 data, the output delivered to final demand should be In 1992 dollars. 4. Each entry in column 4 measures the total dollar change in earnings of households employed by all row industries that results from a $1 change in earnings paid directly to households em- ployed by the industry corresponding to the entry. 5. Each entry in column 5 measures the total change in number of jobs in all row industries that results from a change of one job in the industry corresponding to the entry. Appendix E: BEA Economic Areas REGIONAL MULTIPLIERS 59 Q_ 60 REGIONAL MULTIPLIERS BEA Economic Areas and Associated Metropolitan Areas Code Area name Code Area name 001 Bangor, ME Fayetteville, NC Bangor, ME (NECMA) 023 Charlotte-Gastonia-Rock Hill, NC-SC 002 Portland, ME Charlotte-Gastonia-Rock Hill, NC-SC Lewiston-Auburn, ME (NECMA) 024 Columbia, SC Portland, ME (NECMA) Columbia, SC 003 Boston-Worcester-Lawrence-Lowell-Brxkton, MA-NH-RI-VT Sumter, SC Barnstable-Yarmouth, MA (NECMA) Boston-Worcester-Lawrence-Lowell-Brockton, MA-NH (NECMA) 025 Wilmington, NC-SC Florence, SC Myrtle Beach, SC Wilmington, NC Charleston-North Charleston, SC 004 Providence-Warwick-Pawtucket, Rl (NECMA) Burlington, VT-NY Burlington, VT (NECMA) 026 005 Albany-Schenectady-Troy, NY Albany-Schenectady-froy, NY Glens Falls, NY 027 Charleston-North Charleston, SC Augusta-Aiken, GA-SC Augusta-Aiken, GA-SC 006 Syracuse, NY-PA Binghamton, NY 028 Savannah, GA-SC Syracuse, NY Savannah, GA Utica-Rome, NY 029 Jacksonville, FL-GA 007 Rochester, NY-PA Gainesville, FL Elmira, NY Jacksonville, FL Rochester, NY 030 Orlando, FL 008 Buffalo-Niagara Falls, NY-PA Buffalo-Niagara Falls, NY Daytona Beach, FL Lakeland-Winter Haven, FL Jamestown, NY Melbourne-Titusville-Palm Bay, FL 009 State College, PA Altoona, PA Ocala, FL Orlando, FL Johnstown, PA 031 Miami-Fort Lauderdale, FL State College, PA Fort Lauderdale, FL (PMSA) 010 New York-Northern New Jersey-Long Island, NY-NJ-CT-PA-MA-VT Fort Pierce-Port St. Lucie, FL Allentown-Bethlehem-Easton, PA Miami, FL (PMSA) Bergen-Passaic, NJ (PMSA) West Palm Beach-Boca Raton, FL Dutchess County, NY (PMSA) Hartford, CT (NECMA) 032 Fort Myers-Cape Coral, FL Fort Myers-Cape Coral, FL Jersey City, NJ (PMSA) Naples, FL Middlesex-Somerset-Hunterdon, NJ (PMSA) Monmouth-Ocean, NJ (PMSA) 033 Sarasota-Bradenton, FL Punta Gorda, FL Sarasota-Bradenton, FL Nassau-Suffolk, NY (PMSA) New Haven-Bridgeport-Stamford-Danbury-Waterbury, CT (PMSA) New London-Norwich, CT (NECMA) 034 Tampa-St. Petersburg-Clearwater, FL New York, NY (PMSA) Tampa-St. Petersburg-Clearwater, FL Newark, NJ (PMSA) 035 Tallahassee, FL-GA Newburgh, NY-PA (PMSA) Pittsfield, MA (NECMA) Panama City, FL Tallahassee, FL Scranton-Wilkes-Barre-Hazleton, PA Springfield, MA (NECMA) 036 Dothan, AL-FL-GA Trenton, NJ (PMSA) Dothan, AL Williamsport, PA 037 Albany, GA 011 Harrisburg-Lebanon-Carlisle, PA Albany, GA Harrisburg-Lebanon-Carlisle, PA 038 Macon, GA York, PA Macon, GA 012 Philadelphia-Wilmington-Atlantic City, PA-NJ-DE-MD 039 Columbus, GA-AL Atlantic-Cape May, NJ (PMSA) Columbus, GA-AL Dover, DE Lancaster, PA Philadelphia, PA-NJ (PMSA) Reading, PA Vineland-Millville-Bridgeton, NJ (PMSA) 040 041 Atlanta, GA-AL-NC Athens, GA Atlanta, GA Greenville-Spartanburg-Anderson, SC-NC Wilmington-Newark, DE-MD (PMSA) Greenville-Spartanburg-Anderson, SC 013 Washington-Baltimore, DC-MD-VA-WV-PA 042 Asheville, NC Baltimore, MD (PMSA) Asheville, NC Cumberland, MD-WV 043 Chattanooga, TN-GA Hagerstown, MD (PMSA) Chattanooga, TN-GA Washington, DC-MD-VA-WV (PMSA) 044 Knoxville, TN 014 Salisbury, MD-DE-VA Knoxville, TN 015 Richmond-Petersburg, VA Charlottesville, VA 045 Johnson City-Kingsport-Bristol, TN-VA Johnson City-Kingsport-Bristol, TN-VA Richmond-Petersburg, VA 046 Hickory-Morganton, NC-TN Hickory-Morganton-Lenoir, NC 016 Staunton, VA-WV 017 Roanoke, VA-NC-WV 047 Lexington, KY-TN-VA-WV Lynchburg, VA Lexington, KY Roanoke, VA 048 Charleston, WV-KY-OH 018 Greensboro-Winston-Salem-High Point, NC-VA Charleston, WV Danville, VA Huntington-Ashland, WV-KY-OH Greensboro-Winston-Salem-High Point, NC Parkersburg-Marietta, WV-OH 019 Raleigh-Durham-Chapel Hill, NC Raleigh-Durham-Chapel Hill, NC 049 Cincinnati-Hamilton, OH-KY-IN Cincinnati, OH-KY-IN (PMSA) Hamilton-Middletown, OH (PMSA) Rocky Mount, NC 020 Norfolk-Virginia Beach-Newport News, VA-NC 050 Dayton-Springfield, OH Dayton-Springfield, OH Norfolk-Virginia Beach-Newport News, VA-NC 021 Greenville, NC 051 Columbus, OH Goldsboro, NC Columbus, OH Greenville, NC 052 Wheeling, WV-OH Jacksonville, NC Steubenville-Weirton, OH-WV 022 Fayetteville, NC Wheeling, WV-OH See note at end of table. REGIONAL MULTIPLIERS 61 BEA Economic Areas and Associated Metropolitan Areas— Continued Code Area name Code Area name 053 Pittsburgh, PA-WV Tuscaloosa, AL Pittsburgh, PA 079 Montgomery, AL 054 Erie, PA Montgomery, AL Erie, PA 080 Mobile, AL 055 Cleveland-Akron, OH-PA Mobile, AL Akron, OH (PMSA) Canton-Massillon, OH Cleveland-Lorain-Elyria, OH (PMSA) Mansfield, OH 081 Pensacola, FL Fort Walton Beach, FL Pensacola, FL Sharon, PA 082 Biloxi-Gulfport-Pascagoula, MS Youngstown-Warren, OH Biloxi-Gulfport-Pascagoula, MS 056 Toledo, OH 083 New Orleans, LA-MS Lima, OH Houma, LA Toledo, OH New Orleans, LA 057 Detroit-Ann Arbor-Flint, Ml 084 Baton Rouge, LA-MS Ann Arbor, Ml (PMSA) Baton Rouge, LA Detroit, Ml (PMSA) 085 Lafayette, LA Flint, Ml (PMSA) Jackson, Ml Lafayette, LA 058 Lansing-East Lansing, Ml Saginaw-Bay City-Midland, Ml Northern Michigan, Ml 086 Lake Charles, LA Alexandria, LA Lake Charles, LA 059 Green Bay, WI-MI Green Bay, Wl 087 Beaumont-Port Arthur, TX Beaumont-Port Arthur, TX 060 Appleton-Oshkosh-Neenah, Wl Appleton-Oshkosh-Neenah, Wl 088 Shreveport-Bossier City, LA-AR Shreveport-Bossier City, LA 061 062 Traverse City, Ml Grand Rapids-Muskegon-Holland, Ml Grand Rapids-Muskegon-Holland, Ml 089 090 Monroe, LA Monroe, LA Little Rock-North Little Rock, AR 063 Kalamazoo-Battle Creek, Ml Milwaukee-Racine, Wl Little Rock-North Little Rock, AR Pine Bluff, AR Milwaukee-Waukesha, Wl (PMSA) 091 Fort Smith, AR-OK Racine, Wl (PMSA) Fort Smith, AR-OK Sheboygan, Wl 092 Fayetteville-Springdale-Rogers, AR-MO-OK Fayetteville-Springdale-Rogers, AR 064 Chicago-Gary-Kenosha, IL-IN-WI Bloomington-Normal, IL 093 Joplin, MO-KS-OK Chicago, IL (PMSA) Gary, IN (PMSA) Janesville-Beloit, Wl Kankakee, IL (PMSA) Joplin, MO 094 Springfield, MO Springfield, MO Kenosha, Wl (PMSA) 095 Jonesboro, AR-MO Rockford, IL Jonesboro, AR 065 Elkhart-Goshen, IN-MI 096 St. Louis, MO-IL Benton Harbor, Ml St. Louis, MO-IL Elkhart-Goshen, IN 097 Springfield, IL-MO South Bend, IN Springfield, IL 066 Fort Wayne, IN Fort Wayne, IN 098 Columbia, MO Columbia, MO 067 Indianapolis, IN— IL Bloomington, IN Indianapolis, IN Kokomo, IN Lafayette, IN 099 Kansas City, MO-KS Kansas City, MO-KS Lawrence, KS St. Joseph, MO Muncie, IN 100 Des Moines, IA-IL-MO Terre Haute, IN Des Moines, IA 068 Champaign-Urbana, IL Waterloo-Cedar Falls, IA Champaign-Urbana, IL Decatur, IL 101 Peoria-Pekin, IL Peoria-Pekin, IL 069 Evansville-Henderson, IN— KY— IL 102 Davenport-Moline-Rock Island, IA— fL Evansville-Henderson, IN-KY Davenport-Moline-Rock Island, IA— IL Owensboro, KY 103 Cedar Rapids, IA Cedar Rapids, IA 070 Louisville, KY-IN Louisville, KY-IN Iowa City, IA 071 Nashville, TN-KY 104 Madison, WI-IL-IA Clarksville-Hopkinsville, TN-KY Dubuque, IA Nashville, TN Madison, Wl 072 Paducah, KY-IL 105 La Crosse, WI-MN 073 Memphis, TN-AR-MS-KY La Crosse, WI-MN Jackson, TN 106 Rochester, MN-IA-WI Memphis, TN-AR-MS Rochester, MN 074 Huntsville, AL-TN 107 Minneapolis-St. Paul, MN-WI-IA Decatur, AL Eau Claire, Wl Florence, AL Minneapolis-St. Paul, MN-WI Gadsden, AL St. Cloud, MN Huntsville, AL 108 Wausau, Wl 075 Tupelo, MS-AL-TN Wausau, Wl 076 Greenville, MS 109 Duluth-Superior, MN-WI 077 Jackson, MS-AL-LA Duluth-Superior, MN-WI Hattiesburg, MS 110 Grand Forks, ND-MN Jackson, MS Grand Forks, ND-MN 078 Birmingham, AL 111 Minot, ND Anniston, AL 112 Bismarck, ND-MT-SD Birmingham, AL Bismarck, ND See note at end of table. 62 REGIONAL MULTIPLIERS BEA Economic Areas and Associated Metropolitan Areas— Continued Code Area name Code Area name 113 Fargo-Moorhead, ND-MN Fargo-Moorhead, ND-MN 145 Great Falls, MT Great Falls, MT 114 Aberdeen, SD 146 Missoula, MT 115 Rapid City, SD-MT-NE-ND Rapid City, SD 147 Spokane, WA-ID Spokane, WA 116 Sioux Falls, SD-IA-MN-NE 148 Idaho Falls, ID-WY Sioux Falls, SD Pocatello, ID 117 Sioux City, IA-NE-SD 149 Twin Falls, ID Sioux City, IA-NE 150 Boise City, ID-OR 118 Omaha, NE-IA-MO Boise City, ID Omaha, NE-IA 151 Reno, NV-CA 119 Lincoln, NE Reno, NV Lincoln, NE 152 Salt Lake City-Ogden, UT-ID Provc-Orem, UT 120 Grand Island, NE 121 North Platte, NE-CO Salt Lake City-Ogden, UT 122 Wichita, KS-OK 153 Las Vegas, NV-AZ-UT Wichita, KS Las Vegas, NV-AZ 123 Topeka, KS Topeka, KS 154 Flagstaff, AZ-UT Flagstaff, AZ-UT 124 Tulsa, OK-KS 155 Farmington, NM-CO Tulsa, OK 156 Albuquerque, NM-AZ 125 Oklahoma City, OK Albuquerque, NM Enid, OK 157 El Paso, TX-NM Lawton, OK El Paso, TX Oklahoma City, OK Las Cruces, NM 126 Western Oklahoma, OK 158 Phoenix-Mesa, AZ-NM 127 Dallas-Fort Worth, TX-AR-OK Phoenix-Mesa, AZ Dallas, TX (PMSA) 159 Tucson, AZ Fort Worth-Arlington, TX (PMSA) Killeen-Temple, TX Longview-Marshall, TX Tucson, AZ 160 Los Angeles-Riverside-Orange County, CA-AZ Bakersfield, CA Sherman-Denison, TX Texarkana, TX-Texarkana, AR Tyler, TX Waco, TX Los Angeles-Long Beach, CA (PMSA) Orange County, CA (PMSA) Riverside-San Bernardino, CA (PMSA) San Luis Obispc-Atascadero-Paso Robles, CA Wichita Falls, TX Santa Barbara-Santa Maria-Lompoc, CA 128 Abilene, TX Ventura, CA (PMSA) Abilene, TX Yuma, AZ 129 San Angelo, TX San Angelo, TX 161 San Diego, CA San Diego, CA 130 Austin-San Marcos, TX 162 Fresno, CA Austin-San Marcos, TX Fresno, CA 131 Houston-Galveston-Brazoria, TX Visalia— Tulare-Porterville, CA Brazoria, TX (PMSA) 163 San Francisco-Oakland-San Jose, CA Bryan-College Station, TX Merced, CA Galveston-Texas City, TX (PMSA) Modesto, CA Houston, TX (PMSA) Oakland, CA (PMSA) Victoria, TX Salinas, CA 132 Corpus Christi, TX Corpus Christi, TX San Francisco, CA (PMSA) San Jose, CA (PMSA) 133 McAllen-Edinburg-Mission, TX Brownsville-Harlingen-San Benito, TX Santa Cruz-Watsonville, CA (PMSA) Santa Rosa, CA (PMSA) Stockton-Lodi, CA Vallejo-Fairfield-Napa, CA (PMSA) Sacramento-Yolo, CA Chico-Paradise, CA Sacramento, CA (PMSA) 134 McAllen-Edinburg-Mission, TX San Antonio, TX Laredo, TX San Antonio, TX 164 135 Odessa-Midland, TX Yolo, CA (PMSA) Odessa-Midland, TX Yuba City, CA 136 Hobbs, NM-TX 165 Redding, CA-OR Redding, CA 137 Lubbock, TX Lubbock, TX 166 Eugene-Springfield, OR-CA 138 Amarillo, TX-NM Eugene-Springfield, OR Amarillo, TX Medford-Ashland, OR 139 Santa Fe, NM 167 Portland-Salem, OR-WA Santa Fe, NM Portland-Vancouver, OR-WA (PMSA) 140 Pueblo, CO-NM Salem, OR (PMSA) Pueblo, CO 168 Pendleton, OR-WA 141 Denver-Boulder-Greeley, CO-KS-NE Boulder-Longmont, CO (PMSA) 169 Richland-Kennewick-Pasco, WA Richland-Kennewick-Pasco, WA Colorado Springs, CO Yakima, WA Denver, CO (PMSA) 170 Seattle-Tacoma-Bremerton, WA Fort Collins-Loveland, CO Bellingham, WA Grand Junction, CO Bremerton, WA (PMSA) Greeley, CO (PMSA) Olympia, WA (PMSA) 142 Scottsbluff, NE-WY Seattle-Bellevue-Everett, WA (PMSA) 143 Casper, WY-ID-UT Tacoma, WA (PMSA) Casper, WY 171 Anchorage, AK Cheyenne, WY Anchorage, AK 144 Billings, MT-WY 172 Honolulu, HI Billings, MT Honolulu, HI Note.— Codes are assigned beginning in northern Maine, continuing south to Florida, then north to the Great Lakes, and continuing in a serpentine pattern to the West Coast. The metropolitan areas associated with each BEA economic area are listed below the economic area name. Most ot these associated areas are Metropolitan Statistical Areas (MSA's); those which are Primary Met- ropolitan Statistical Areas (PMSA's) or New England County Metropolitan Statistical Areas (NECMA's) are noted in the list. Not all economic areas contain metropolitan areas. Map 2 REGIONAL MULTIPLIERS 63 The Kansas City, MO-KS Economic Area Jackson County, MO Kansas City, MO-KS Metropolitan Area Other Counties in Economic Area U.S. Department of Commerce, Bureau of Economic Analysis ■ - p ^ rmi.Ti mi it Iii ii B i it lii s II II II II IIBI I till |l |l| || I II III ADDDD31Q3t.bQ3