Cost Effect

Manufacturing Sector (NAICS 3361)

Domestic content 0.780571476

Maximum

Original Dollars 2005 2011 Original Dollars

Dataset 2012 BLS ERM 2011 ASM Dataset

Sectors

Motor vehicle 

parts 

manufacturing

Motor vehicle 

parts 

manufacturing

Sectors

Fleet Cost ($Million/year 12$) Max?

2018 115.743311 140.7883 105.9452 ERM

2019 113.3583125 131.4969 98.9533 ERM

2020 112.1920291 124.1125 93.3964 ERM

2021 2173.493962 2,292.9954 1,725.5122 ERM

2022 2160.864069 2,174.0200 1,635.9814 ERM

2023 2223.619805 2,133.4770 1,605.4722 ERM

2024 3455.171817 3,161.4652 2,379.0483 ERM

2025 3647.177174 3,182.4894 2,394.8692 ERM

2026 3735.856668 3,108.7919 2,339.4108 ERM

2027 5309.157095 4,213.2609 3,170.5397 ERM
Parts Sector (NAICS 3363)

Minimum

2005 2011

2012 BLS ERM 2011 ASM, 

NAICS 3361

Motor vehicle 

body and trailer 

manufacturing

Light truck and 

utility vehicle 

manufacturing 

2020-21; Motor 

vehicle body & 

trailer 

manufacturing 

2022-27

Min? Minimum Maximum

 34.8621 27.9849 336112 27.985 140.788

 27.2785 26.0450 336112 26.045 131.497

 21.5694 24.4950 ERM 21.569 124.112

 333.8438 450.9403 ERM 333.844 2,292.995

 265.1681 399.3282 ERM 265.168 2,174.020

 218.0034 328.3008 ERM 218.003 2,133.477

 270.6334 407.5586 ERM 270.633 3,161.465

 228.2325 343.7053 ERM 228.233 3,182.489

 186.7754 281.2733 ERM 186.775 3,108.792

 212.0626 319.3543 ERM 212.063 4,213.261
Rounded Costs (Millions) Minimum Maximum

2018 $ 116 0 100

2019 $ 113 0 100

2020 $ 112 0 100

2021 $ 2,173 300 2,300

2022 $ 2,161 300 2,200

2023 $ 2,224 200 2,100

2024 $ 3,455 300 3,200

2025 $ 3,647 200 3,200

2026 $ 3,736 200 3,100

2027 $ 5,309 200 4,200
U.S. Vehicle Sales: From UsaSa01.xls U.S. Vehicle Production by Manufactu

NOTE: Truck appears to be total trucks not just 

Light Trucks MD/HD Trucks Total Trucks Truck

Year Total Total Total Total Year Total Truck

2013 7,946,365 351,737 8,298,102 6,697,597 2013 0.807124

2012 7,198,160 345,876 7,544,036 6,226,752 2012 0.825387

2011 6,645,021 306,189 6,951,210 5,684,544 2011 0.817778

2010 5,919,085 217,702 6,136,787 5,011,988 2010 0.816712

2009 5,000,792 199,686 5,200,478 3,513,843 2009 0.675677

2008 6,425,634 298,424 6,724,058 4,940,900 2008 0.734809

2007 8,526,888 371,093 8,897,981 6,885,042 2007 0.773776

2006 8,742,808 544,581 9,287,389 6,948,581 2006 0.748174

2005 9,287,771 496,575 9,784,346 7,680,781 2005 0.785007

2004 9,384,365 431,653 9,816,018 7,794,429 2004 0.794052

U.S. Vehicle Sales, 1931-2010. UsaSa01.xls, accessed August 19, 2014, at http://subscribers.wardsauto.com/refcenter/ , ©Co

U.S. Vehicle Production by Manufacturer. UsaPr05.xls, accessed August 10, 2014, at http://subscribers.wardsauto.com/refcen
US Production/US Sales

ears to be total trucks not just LD. For the following, I'm going to use total trucks for sales, for comparability.

Truck Average (20XX-2013) Proportion of LT among all trucks

0.80712397 0.957612355

0.81582101 0.954152393

0.81641771 0.955951698

0.81648015 0.964525085

0.79502598 0.961602376

0.78511522 0.955618467

0.78308722 0.958294696

0.77759511 0.941363391

0.77864882 0.949248013

0.78057148 0.956025651

ers.wardsauto.com/refcenter/ , ©Copyright 2014, Ward's Automotive Group, a division of Penton Media Inc. Redistribution prohibited.

/subscribers.wardsauto.com/refcenter/ , ©Copyright 2014, Ward's Automotive Group, a division of Penton Media Inc. Redistribution prohibit
omparability.

tribution prohibited.

nc. Redistribution prohibited.
Raw Data: BLS ERM realdomreq (real domestic employment requirements table for 1993-2012), http://www.bls.gov/emp/

Accessed 20140804

Year Sector 81 Sector 82 Sector 83 Ln(Sec81) Ln(Sec82) Ln(Sec83) 2009 & after2009*year

1993 1.515711 5.697388 5.065034 0.415885 1.740008 1.622361 0 0

1994 1.494245 5.998985 5.316176 0.401621 1.79159 1.670754 0 0

1995 1.556725 6.313686 5.353733 0.442584 1.84272 1.677794 0 0

1996 1.467259 6.219066 5.132311 0.383396 1.82762 1.635556 0 0

1997 1.387871 5.88684 4.857377 0.327771 1.772719 1.580499 0 0

1998 1.311273 6.150849 4.733342 0.270998 1.81659 1.554632 0 0

1999 1.147071 5.857525 4.328258 0.137212 1.767727 1.465165 0 0

2000 1.274294 6.280822 4.467074 0.242392 1.837501 1.496734 0 0

2001 1.337286 6.042357 4.518905 0.290642 1.798794 1.50827 0 0

2002 1.141895 5.442209 3.901532 0.132689 1.694185 1.361369 0 0

2003 1.056197 5.014048 3.594178 0.054675 1.612244 1.279315 0 0

2004 0.998661 5.619306 3.450622 -0.00134 1.726208 1.238555 0 0

2005 0.985558 6.046305 3.295317 -0.01455 1.799447 1.192502 0 0

2006 0.941284 6.286797 3.208746 -0.06051 1.838452 1.16588 0 0

2007 0.834809 6.122166 2.878751 -0.18055 1.811916 1.057357 0 0

2008 0.868308 5.421345 3.099576 -0.14121 1.690344 1.131265 0 0

2009 0.885721 3.331253 3.014507 -0.12135 1.203349 1.103436 1 2009

2010 0.670735 2.579223 2.405958 -0.39938 0.947488 0.877948 1 2010

2011 0.593811 2.224018 2.246098 -0.52119 0.799315 0.809194 1 2011

2012 0.525523 1.656104 2.225337 -0.64336 0.504468 0.799908 1 2012

2012 in 2012$0.460404 1.450893 1.949591

Sector 81 0.359379 1.132526 1.521795

SUMMARY OUTPUT

5.899981

Regression Statistics 2.44765

Multiple R 0.953102

R Square 0.908404

Adjusted R Square 0.903315

Standard Error 0.098463

Observations 20

ANOVA

df SS MS F Significance F

Regression 1 1.730695 1.730695 178.5153 8.79E-11

Residual 18 0.174509 0.009695

Total 19 1.905204

CoefficientsStandard Error t Stat P-value Lower 95%Upper 95%Lower 95.0%Upper 95.0%

Intercept 102.2087 7.646032 13.36755 8.72E-11 86.14502 118.2725 86.14502 118.2725

Year -0.05102 0.003818 -13.361 8.79E-11 -0.05904 -0.04299 -0.05904 -0.04299

ProjectionsRaw Data Raw Data

Year Actual 81 Actual 82 Actual 83 Projected 81Projected 82Projected 83Max Min
1993 1.515711 5.697388 5.065034 1.708243 6.045661 5.825414 6.045661 1.708243

1994 1.494245 5.998985 5.316176 1.623282 6.024469 5.555436 6.024469 1.623282

1995 1.556725 6.313686 5.353733 1.542547 6.00335 5.29797 6.00335 1.542547

1996 1.467259 6.219066 5.132311 1.465827 5.982306 5.052436 5.982306 1.465827

1997 1.387871 5.88684 4.857377 1.392923 5.961336 4.818281 5.961336 1.392923

1998 1.311273 6.150849 4.733342 1.323645 5.940439 4.594979 5.940439 1.323645

1999 1.147071 5.857525 4.328258 1.257812 5.919615 4.382025 5.919615 1.257812

2000 1.274294 6.280822 4.467074 1.195254 5.898864 4.17894 5.898864 1.195254

2001 1.337286 6.042357 4.518905 1.135807 5.878186 3.985268 5.878186 1.135807

2002 1.141895 5.442209 3.901532 1.079317 5.857581 3.800571 5.857581 1.079317

2003 1.056197 5.014048 3.594178 1.025636 5.837048 3.624434 5.837048 1.025636

2004 0.998661 5.619306 3.450622 0.974626 5.816586 3.45646 5.816586 0.974626

2005 0.985558 6.046305 3.295317 0.926152 5.796197 3.296271 5.796197 0.926152

2006 0.941284 6.286797 3.208746 0.880089 5.775879 3.143505 5.775879 0.880089

2007 0.834809 6.122166 2.878751 0.836317 5.755632 2.99782 5.755632 0.836317

2008 0.868308 5.421345 3.099576 0.794722 5.735456 2.858886 5.735456 0.794722

2009 0.885721 3.331253 3.014507 0.755196 3.32137 2.726392 3.32137 0.755196

2010 0.670735 2.579223 2.405958 0.717636 2.653543 2.600037 2.653543 0.717636

2011 0.593811 2.224018 2.246098 0.681944 2.119996 2.479539 2.479539 0.681944

2012 0.525523 1.656104 2.225337 0.648027 1.693729 2.364625 2.364625 0.648027

2013 0.615797 1.353172 2.255037 2.255037 0.615797

2014 0.585169 1.08109 2.150527 2.150527 0.585169

2015 0.556066 0.863716 2.050861 2.050861 0.556066

2016 0.528409 0.690049 1.955814 1.955814 0.528409

2017 0.502128 0.551301 1.865172 1.865172 0.502128

2018 0.477155 0.440451 1.778731 1.778731 0.440451

2019 0.453423 0.35189 1.696296 1.696296 0.35189

2020 0.430872 0.281135 1.617681 1.617681 0.281135

2021 0.409442 0.224608 1.54271 1.54271 0.224608

2022 0.389078 0.179446 1.471213 1.471213 0.179446

2023 0.369727 0.143365 1.40303 1.40303 0.143365

2024 0.351338 0.114538 1.338007 1.338007 0.114538

2025 0.333864 0.091508 1.275997 1.275997 0.091508

2026 0.317259 0.073109 1.216861 1.216861 0.073109

2027 0.30148 0.058409 1.160466 1.160466 0.058409
3-2012), http://www.bls.gov/emp/ep_data_emp_requirements.htm

Year 2005$ Sector Definition NAICS

1993 81 Motor vehicle manufacturing 3361

1994 82 Motor vehicle body3362 and trailer manufacturing

1995 83 Motor vehicle parts manufacturing 3363

1996 69 Engine, turbine, and power transmission equipment manufacturing 3336

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

Sector 82

SUMMARY OUTPUT

Regression Statistics

Multiple R 0.707454

R Square 0.500491

Adjusted R Square 0.472741

Standard Error0.28686

Observations 20

ANOVA

df SS MS F Significance F

Regression 1 1.484112 1.4841117 18.0354 0.000485

Residual 18 1.481199 0.0822888

Total 19 2.965311

Upper 95.0% CoefficientsStandard Error t Stat P-value Lower 95%Upper 95%Lower 95.0%

Intercept 96.19198 22.27583 4.3182216 0.000414 49.39219 142.9918 49.39219

Year -0.04724 0.011124 -4.24681 0.000485 -0.07061 -0.02387 -0.07061

SUMMARY OUTPUT

Regression Statistics

Multiple R 0.989315

R Square 0.978745

Adjusted R Square 0.97476
Standard Error 0.062763

Observations 20

ANOVA

df SS MS F Significance F

Regression 3 2.9022825 0.967427 245.5863 1.38E-13

Residual 16 0.0630281 0.003939

Total 19 2.9653106

CoefficientsStandard Error t Stat P-value Lower 95%Upper 95%

Intercept 8.7979 6.8093774 1.292027 0.214699 -5.63734 23.23313

2009 & after 443.3857 56.841453 7.800394 7.68E-07 322.8873 563.8842

2009*year -0.22097 0.0282743 -7.81521 7.5E-07 -0.28091 -0.16103

Year -0.00351 0.0034038 -1.03165 0.317578 -0.01073 0.003704

Max Min

83 81

83 81

83 81

83 81

83 81

83 81

83 82

83 82

83 82

83 82

83 82

83 82

83 82

83 82

83 82

83 82
Sector 83

SUMMARY OUTPUT

Regression Statistics

Multiple R 0.973657

R Square 0.948009

Adjusted R Square 0.94512

Standard Error 0.067546

Observations 20

ANOVA

df SS MS F Significance F

Regression 1 1.497451 1.497451 328.2118 5.27E-13

Residual 18 0.082124 0.004562

Total 19 1.579575

Upper 95.0% CoefficientsStandard Error t Stat P-value Lower 95%Upper 95%Lower 95.0%

142.9918 Intercept 96.33645 5.245208 18.36656 4.17E-13 85.31667 107.3562 85.31667

-0.02387 Year -0.04745 0.002619 -18.1166 5.27E-13 -0.05296 -0.04195 -0.05296

4

5

6

7

Actual 81

Actual 82 6

7
Lower 95.0%Upper 95.0%

-5.63734 23.23313

322.8873 563.8842

-0.28091 -0.16103

-0.01073 0.003704 01234

1990 2000 2010 2020 2030

Actual 82

Actual 83

Projected 81

Projected 82

Projected 83

012345

1990
Upper 95.0%

107.3562

-0.04195

Actual 82
2000 2010 2020 2030

Actual 82
Annual Survey of Manufactures

https://www.census.gov/manufacturing/asm/

2011 Statistics for Industry Groups and Industries (REFRESH), accessed 20140805

Geographic area 

name

2007 NAICS 

codes and 

NAICS-based 

rollup code

Meaning of 2007 NAICS codes and NAICS-based rollup 

code Year

Number of 

employees

Relative 

standard error 

of total 

number of 

employees (%)

United States 336 Transportation equipment manufacturing 2011 1238895 1

United States 3361 Motor vehicle manufacturing 2011 149599 2

United States 336112 Light truck and utility vehicle manufacturing 2011 60705 1

United States 33612 Heavy duty truck manufacturing 2011 29103 3

United States 336120 Heavy duty truck manufacturing 2011 29103 3

United States 3362 Motor vehicle body and trailer manufacturing 2011 97728 1

United States 33621 Motor vehicle body and trailer manufacturing 2011 97728 1

United States 336211 Motor vehicle body manufacturing 2011 36441 2

United States 336212 Truck trailer manufacturing 2011 22944 2

United States 336213 Motor home manufacturing 2011 6826 7

United States 336214 Travel trailer and camper manufacturing 2011 31517 2

United States 3363 Motor vehicle parts manufacturing 2011 405353 1

Using 81 Using 81 Using 81 Using 82 Using 83

3361 336112 33612 3362 3363

2011 0.547334 0.45042878 0.846509 2.84586 1.663243

2018 0.382969 0.315164161 0.592301 0.591257 1.19315

2019 0.363921 0.299489231 0.562842 0.472373 1.137853

2020 0.345821 0.284593905 0.534849 0.377393 1.08512

2021 0.328622 0.27043941 0.508248 0.301511 1.03483

2022 0.312277 0.2569889 0.48297 0.240886 0.986871

2023 0.296746 0.244207361 0.458949 0.192451 0.941134

2024 0.281987 0.232061521 0.436123 0.153755 0.897518

2025 0.267962 0.220519764 0.414432 0.12284 0.855922

2026 0.254635 0.209552045 0.39382 0.09814 0.816255

2027 0.241971 0.199129814 0.374233 0.078407 0.778425

Economic Census

Note: as of 20140818, only parts of the data from the 2012 Economic Census have been released, and the above sectors are g

Geographic Area Name 2007 NAICS code Meaning of 2007 NAICS code Footnote identifier CompaniesNumber of establishments

http://factfinder2.census.gov/faces/nav/jsf/pages/searchresults.xhtml?refresh=t
Annual payroll 

($1,000)

Total fringe 

benefits ($1,000)

Relative standard 

error of total 

fringe benefits 

(%)

Employer's 

cost for health 

insurance 

($1,000)

Employer's cost 

for defined 

benefit pension 

plans ($1,000)

Employer's cost for 

defined contribution 

plans ($1,000)

Employer's cost 

for other fringe 

benefits ($1,000)

Production 

workers avg per 

year

77743343 28527085 1 11235029 3526292 2163629 11602135 839938

10060883 4258652 1 1820629 631049 205542 1601432 128160

4427426 2082004 1 815247 373474 91602 801681 54819

1594724 707837 2 350267 88175 26767 242628 23143

1594724 707837 2 350267 88175 26767 242628 23143

4101669 1011515 1 427122 24755 60308 499330 76305

4101669 1011515 1 427122 24755 60308 499330 76305

1598210 438179 2 198244 13976 27528 198430 27413

907126 239082 3 105307 D D 108264 18708

285310 75920 7 34474 D D 36379 5072

1311024 258333 2 89097 5513 7467 156256 25113

20616517 7333411 1 3189114 571137 488973 3084187 308323

Max Min Max Min

3362 336112 2.84586043 0.450429

3363 336112 1.1931498 0.315164

3363 336112 1.13785341 0.299489

3363 336112 1.08511971 0.284594

3363 336112 1.03482996 0.270439

3363 3362 0.98687087 0.240886

3363 3362 0.94113445 0.192451

3363 3362 0.89751767 0.153755

3363 3362 0.85592231 0.12284

3363 3362 0.81625469 0.09814

3363 3362 0.77842545 0.078407

leased, and the above sectors are generally not included. Because of the age of the 2007 data, they Production workers, nonleased employ Value added ($1,000) Total cost of materials ($1,000) will be om ees wages ($1,000) Total value of shipments ($1,00itted for now.

Number of employ Annual pay ees roll ($1,000) Production workers avg per y Production workers hours (1,000) ear
Production 

workers hours 

(1,000)

Production 

workers 

wages 

($1,000)

Total cost of 

materials ($1,000)

Relative standard 

error of total cost 

of materials (%)

Materials, parts, 

containers, 

packaging, etc. used 

($1,000)

Cost of resales 

($1,000)

Cost of 

contract work 

($1,000)

Cost of 

purchased 

fuels ($1,000)

1659882 44848496 434363633 1 406957402 10876275 11720410 1156999

245848 8055677 178923145 2 177329993 383775 424392 297791

106447 3818925 92747937 1 92304533 31514 31772 153528

40633 1134328 22887790 2 22322887 286412 208488 24705

40633 1134328 22887790 2 22322887 286412 208488 24705

148647 2773623 18107655 1 17124384 606870 204480 54792

148647 2773623 18107655 1 17124384 606870 204480 54792

53841 1010567 6526678 2 5947430 423642 83738 22742

37364 656984 4307948 2 4171016 66773 25638 10541

10065 194506 1564952 6 1501758 28380 25529 2861

47377 911566 5708078 1 5504180 88074 69575 18647

623288 13839879 123019351 1 113474746 5830563 1860575 388917

Total capital expenditures (new and used) ($1,000)
Relative 

standard error 

of cost of 

purchased 

fuels (%)

Quantity of 

electricity 

purchased for 

heat and 

power (1,000 

kWh)

Purchased 

electricity 

($1,000)

Relative 

standard error 

of purchased 

electricity (%)

Quantity of 

generated 

electricity 

(1,000 kWh)

Quantity of 

electricity sold 

or transferred 

(1,000 kWh)

Total value of 

shipments 

($1,000)

Relative 

standard error 

of total value 

of shipments 

(%)

Value of products 

shipments 

($1,000)

1 57936837 3652547 1 884437 294591 691936996 1 673679203

1 9686153 487193 1 D D 234153213 2 233074261

1 4575586 226590 1 D D 121704035 1 121565353

7 632749 45298 1 D S 27339341 2 26842117

7 632749 45298 1 D S 27339341 2 26842117

3 1458731 117130 2 148(s) S 26812629 1 25744363

3 1458731 117130 2 148(s) S 26812629 1 25744363

4 617025 49126 3 148(s) S 9919270 2 9209939

8 425564 33979 2 S S 6760391 2 6604287

20 73318 6423 12 S S 2200726 7 2138116

3 342824 27601 2 S S 7932242 1 7792022

3 21448287 1464551 1 D D 185374641 1 177532965
Value of 

interplant 

transfers ($1,000)

Total 

miscellaneous 

receipts 

($1,000)

Value of 

resales 

($1,000)

Contract 

receipts 

($1,000)

Other 

miscellaneous 

receipts 

($1,000)

Value added 

($1,000)

Relative 

standard error 

of value 

added (%)

Total 

inventories, 

end of year 

($1,000)

Relative 

standard error 

of total 

inventories, 

end of year 

(%)

37153465 18257793 13253854 1231216 3772723 264738351 1 1E+08 1

D 1078952 558971 D D 55455127 1 6839157 2

D 138682 D D D 29055858 1 2160916 1

D 497224 448751 D D 4491482 3 2097467 7

D 497224 448751 D D 4491482 3 2097467 7

D 1068266 752918 50722 264626 8904991 2 3637354 1

D 1068266 752918 50722 264626 8904991 2 3637354 1

D 709331 521642 43767 143921 3507737 2 1606410 2

D 156104 70489 4528 81087 2512879 3 872490 3

S 62611 49793 D D 649141 13 398760 4

D 140220 110994 D D 2235234 2 759694 3

25857298 7841676 6803663 114791 923222 63007776 1 14610975 1
Finished 

goods 

inventories, 

end of year 

($1,000)

Relative 

standard error 

of finished 

goods 

inventories, 

end of year 

(%)

Work-inprocess 

inventories, 

end-of-year 

($1,000)

Relative 

standard error 

of work-inprocess 

inventories, 

end of year 

(%)

Materials and 

supplies 

inventories, 

end of year 

($1,000)

Relative 

standard error of 

materials and 

supplies 

inventories, end 

of year (%)

Total 

inventories, 

beginning of 

year ($1,000)

Finished 

goods 

inventories, 

beginning of 

year ($1,000)

Work-inprocess 

inventories, 

beginning of 

year ($1,000)

11145193 1 66183057 1 22985170 1 90082471 10349232 59498024

806801 1 1965351 5 4067005 2 5976422 803650 1716537

247480 1 650089 1 1263347 1 1759557 209088 582371

242836 1 938476 11 916154 5 2072029 343270 780325

242836 1 938476 11 916154 5 2072029 343270 780325

960073 3 913378 2 1763903 1 3135326 810497 833410

960073 3 913378 2 1763903 1 3135326 810497 833410

390949 3 533605 3 681856 2 1423117 323513 480980

227058 4 186123 7 459309 2 688187 156518 192164

72627 10 113430 4 212702 3 357200 66717 98704

269438 9 80220 3 410035 2 666821 263748 61562

3953429 3 3016731 1 7640815 1 12437011 3347926 2686697
Materials and 

supplies 

inventories, 

beginning of 

year ($1,000)

Total capital 

expenditures 

(new and 

used) ($1,000)

Relative 

standard error 

of total capital 

expenditures 

(new and 

used) (%)

Capital 

expenditures on 

buildings and 

other structures 

(new and used) 

($1,000)

Capital 

expenditures on 

machinery and 

equipment 

(new and used) 

($1,000)

Capital 

expenditures 

on 

automobiles, 

trucks, etc. for 

highway use 

($1,000)

Capital 

expenditures on 

computers and 

peripheral data 

processing 

equipment 

($1,000)

Capital 

expenditures 

on all other 

machinery 

and 

equipment 

($1,000)

Total 

depreciation 

($1,000)

20235215 17688496 1 2845697 14842799 233177 731750 13877871 13241652

3456235 6480072 1 996364 5483709 55464 125261 5302984 4079201

968098 1464286 1 52733 1411553 14695 41766 1355092 1867522

948434 119135 2 15728 103407 792 13071 89543 173398

948434 119135 2 15728 103407 792 13071 89543 173398

1491419 334317 3 85519 248797 19751 27668 201378 253998

1491419 334317 3 85519 248797 19751 27668 201378 253998

618624 139665 6 50002 89663 6356 10371 72937 98280

339505 95757 2 15519 80239 4037 5390 70812 66425

191778 10457 1 748 9709 248 2847 6614 18316

341511 88437 2 19251 69187 9111 9060 51016 70977

6402388 5633770 1 441193 5192577 67768 184945 4939864 5403227
Relative 

standard error 

of total 

depreciation 

(%)

Total rental 

payments 

($1,000)

Relative 

standard error 

of total rental 

payments (%)

Rental 

payments for 

buildings and 

other 

structures 

($1,000)

Rental 

payments for 

machinery 

and 

equipment 

($1,000)

Total other 

expenses 

($1,000)

Relative 

standard error 

of total other 

expenses (%)

Temporary 

staff and 

leased 

employee 

expenses 

($1,000)

Expensed 

computer 

hardware and 

other 

equipment 

($1,000)

Expensed 

purchases of 

software 

($1,000)

1 2588113 1 1778831 809282 40039824 1 4386152 442691 429655

1 138887 3 74602 64285 5663545 1 947628 25423 26374

1 39655 1 14921 24734 2051934 1 240359 10204 D

1 40304 8 27774 12530 842081 3 24811 6318 9051

1 40304 8 27774 12530 842081 3 24811 6318 9051

2 145447 3 120556 24891 2445306 1 74910 15932 9045

2 145447 3 120556 24891 2445306 1 74910 15932 9045

4 71897 5 61012 10885 660877 2 44042 9779 4659

2 21805 8 17172 4634 1013237 2 13420 3899 1300

8 6716 8 6305 410 123408 1 3010 685 1771

2 45029 5 36068 8961 647784 2 14438 1569 1315

1 911990 2 615833 296157 11132439 2 1503525 61365 64305
Data 

processing 

and other 

purchased 

computer 

services 

($1,000)

Communicatio

n services 

($1,000)

Repair and 

maintenance 

services of 

buildings 

and/or 

machinery 

($1,000)

Refuse 

removal 

(including 

hazardous 

waste) 

services 

($1,000)

Advertising 

and 

promotional 

services 

($1,000)

Purchased 

professional 

and technical 

services 

($1,000)

Taxes and 

license fees 

($1,000)

All other 

expenses 

($1,000)

2645861 441217 3311816 718913 744547 2887260 1698411 22333300 1.213894

32162 32574 669259 146472 157214 444734 260587 2921117 0.547334

D 11540 391434 60063 1816 172675 132740 1018200 0.450429

3702 9648 70666 17683 10416 35914 23002(s) 630869 0.846509

3702 9648 70666 17683 10416 35914 23002(s) 630869 0.846509

13262 28489 100762 34774 82415 100817 68989 1915910 2.84586

13262 28489 100762 34774 82415 100817 68989 1915910 2.84586

8622 14876 51641 12038 30308 57037 26743 401132 2.763611

1725 6130 28140 4750 9326 18352 12862 913333 2.767296

1435 1787 3440 1593 11142 4896 4382 89269 2.304694

1481 5697 17540 16394 31640 20532 25003 512176 3.16594

106653 107776 1345145 209170 147832 784773 541183 6260711 1.663243

2.84586

0.450429
In 2012$

Adjusted for 

domestic vs. 

foreign

1.19305 0.931261

0.537936 0.419897

0.442694 0.345555

0.831974 0.649415

0.831974 0.649415

2.796994 2.183254

2.796994 2.183254

2.716156 2.120154

2.719778 2.122981

2.26512 1.768088

3.111577 2.428808

1.634683 1.275987
Table 1.1.9. Implicit Price Deflators for Gross Domestic Product

[Index numbers, 2009=100]

Bureau of Economic Analysis

Last Revised on: March 27, 2014 - Next Release Date April 30, 2014

Line 2005 2006 2007 2008 2009 2010 2011

1 Gross domestic product 91.991 94.818 97.335 99.236 100 101.211 103.199

1.141 1.107 1.079 1.058 1.050 1.037 1.017
2012 2013

105.002 106.588

1.000 0.985
yearID 2b/3 Pickup and Vans Vocational Tractor/Trailer Total

2018 $0 $0 $115,743,311 $115,743,311

2019 $0 $0 $113,358,312 $113,358,312

2020 $0 $0 $112,192,029 $112,192,029

2021 $328,485,418 $591,417,324 $1,253,591,220 $2,173,493,962

2022 $323,957,377 $584,697,312 $1,252,209,380 $2,160,864,069

2023 $490,731,733 $541,364,361 $1,191,523,711 $2,223,619,805

2024 $590,353,678 $951,368,648 $1,913,449,492 $3,455,171,817

2025 $731,272,747 $960,915,888 $1,954,988,539 $3,647,177,174

2026 $788,419,524 $967,293,429 $1,980,143,715 $3,735,856,668

2027 $844,132,964 $1,971,526,565 $2,493,497,566 $5,309,157,095

From GHGHD2 Vehicle Program Costs for GH_20150205.xlsx

BenefitCostAnalysis version3.33.0.1 2/5/2015 14:20

PackageCost version 3.20.1.1

Markup ICM

Reference case 1a

WR sensitivity (2b3) Primary

USD_Basis USD_2012

Control Case (VDS) 3

Control Case (2b3) 3
20140804 For converting to HD, in ERM, need to add new sector: motor vehicle body & trailer manufacturing

ERM values updated.

20140805 ASM 2011 values identified related to HD, put in ASM EC worksheet
ler manufacturing