Trump’s ‘blue-collar boom’ is likely a dud

In his State of the Union address tonight, President Trump plans to extol the “blue-collar boom” in the economy along with his purported “great American comeback.” He’ll claim this based on two recent signature trade deals—the United States-Mexico-Canada Agreement (USMCA) and a “phase one” deal with China. Unfortunately, both agreements will likely to lead to more outsourcing and job loss for U.S. workers, and the facts just don’t support Trump’s claims about the broader economy.

Trump comes from a world that has ardently championed globalization, like many of his predecessors. However, that approach has decimated U.S. manufacturing over the past 20 years, eliminating nearly 5 million good factory jobs as shown in Figure A, below. Nearly 90,000 U.S. factories have been lost as well.

Figure A

U.S. manufacturing employment, January 1970–December 2019 (millions of jobs)

Date Manufacturing employment (millions of jobs)
1970-01-01 18.424
1970-02-01 18.361
1970-03-01 18.36
1970-04-01 18.207
1970-05-01 18.029
1970-06-01 17.93
1970-07-01 17.877
1970-08-01 17.779
1970-09-01 17.692
1970-10-01 17.173
1970-11-01 17.024
1970-12-01 17.309
1971-01-01 17.28
1971-02-01 17.216
1971-03-01 17.154
1971-04-01 17.149
1971-05-01 17.225
1971-06-01 17.139
1971-07-01 17.126
1971-08-01 17.115
1971-09-01 17.154
1971-10-01 17.126
1971-11-01 17.166
1971-12-01 17.202
1972-01-01 17.283
1972-02-01 17.361
1972-03-01 17.447
1972-04-01 17.508
1972-05-01 17.602
1972-06-01 17.641
1972-07-01 17.556
1972-08-01 17.741
1972-09-01 17.774
1972-10-01 17.893
1972-11-01 18.005
1972-12-01 18.158
1973-01-01 18.276
1973-02-01 18.41
1973-03-01 18.493
1973-04-01 18.53
1973-05-01 18.564
1973-06-01 18.606
1973-07-01 18.598
1973-08-01 18.629
1973-09-01 18.609
1973-10-01 18.702
1973-11-01 18.773
1973-12-01 18.82
1974-01-01 18.788
1974-02-01 18.727
1974-03-01 18.7
1974-04-01 18.702
1974-05-01 18.688
1974-06-01 18.69
1974-07-01 18.656
1974-08-01 18.57
1974-09-01 18.492
1974-10-01 18.364
1974-11-01 18.077
1974-12-01 17.693
1975-01-01 17.344
1975-02-01 17.004
1975-03-01 16.853
1975-04-01 16.759
1975-05-01 16.746
1975-06-01 16.69
1975-07-01 16.678
1975-08-01 16.824
1975-09-01 16.904
1975-10-01 16.984
1975-11-01 17.025
1975-12-01 17.14
1976-01-01 17.287
1976-02-01 17.384
1976-03-01 17.47
1976-04-01 17.541
1976-05-01 17.513
1976-06-01 17.521
1976-07-01 17.524
1976-08-01 17.596
1976-09-01 17.665
1976-10-01 17.548
1976-11-01 17.682
1976-12-01 17.719
1977-01-01 17.803
1977-02-01 17.843
1977-03-01 17.941
1977-04-01 18.024
1977-05-01 18.107
1977-06-01 18.192
1977-07-01 18.259
1977-08-01 18.276
1977-09-01 18.334
1977-10-01 18.356
1977-11-01 18.419
1977-12-01 18.531
1978-01-01 18.593
1978-02-01 18.639
1978-03-01 18.699
1978-04-01 18.772
1978-05-01 18.848
1978-06-01 18.919
1978-07-01 18.951
1978-08-01 19.006
1978-09-01 19.068
1978-10-01 19.142
1978-11-01 19.257
1978-12-01 19.334
1979-01-01 19.388
1979-02-01 19.409
1979-03-01 19.453
1979-04-01 19.45
1979-05-01 19.509
1979-06-01 19.553
1979-07-01 19.531
1979-08-01 19.406
1979-09-01 19.442
1979-10-01 19.39
1979-11-01 19.299
1979-12-01 19.301
1980-01-01 19.282
1980-02-01 19.219
1980-03-01 19.217
1980-04-01 18.973
1980-05-01 18.726
1980-06-01 18.49
1980-07-01 18.276
1980-08-01 18.414
1980-09-01 18.445
1980-10-01 18.506
1980-11-01 18.601
1980-12-01 18.64
1981-01-01 18.639
1981-02-01 18.613
1981-03-01 18.647
1981-04-01 18.711
1981-05-01 18.766
1981-06-01 18.789
1981-07-01 18.785
1981-08-01 18.748
1981-09-01 18.712
1981-10-01 18.566
1981-11-01 18.409
1981-12-01 18.223
1982-01-01 18.047
1982-02-01 17.981
1982-03-01 17.857
1982-04-01 17.683
1982-05-01 17.588
1982-06-01 17.43
1982-07-01 17.278
1982-08-01 17.16
1982-09-01 17.074
1982-10-01 16.853
1982-11-01 16.722
1982-12-01 16.69
1983-01-01 16.705
1983-02-01 16.706
1983-03-01 16.711
1983-04-01 16.794
1983-05-01 16.885
1983-06-01 16.96
1983-07-01 17.059
1983-08-01 17.118
1983-09-01 17.255
1983-10-01 17.367
1983-11-01 17.479
1983-12-01 17.551
1984-01-01 17.63
1984-02-01 17.728
1984-03-01 17.806
1984-04-01 17.872
1984-05-01 17.916
1984-06-01 17.967
1984-07-01 18.013
1984-08-01 18.034
1984-09-01 18.019
1984-10-01 18.024
1984-11-01 18.016
1984-12-01 18.023
1985-01-01 18.009
1985-02-01 17.966
1985-03-01 17.939
1985-04-01 17.886
1985-05-01 17.855
1985-06-01 17.819
1985-07-01 17.776
1985-08-01 17.756
1985-09-01 17.718
1985-10-01 17.708
1985-11-01 17.697
1985-12-01 17.693
1986-01-01 17.686
1986-02-01 17.663
1986-03-01 17.624
1986-04-01 17.616
1986-05-01 17.593
1986-06-01 17.53
1986-07-01 17.497
1986-08-01 17.489
1986-09-01 17.498
1986-10-01 17.477
1986-11-01 17.472
1986-12-01 17.478
1987-01-01 17.465
1987-02-01 17.499
1987-03-01 17.507
1987-04-01 17.525
1987-05-01 17.542
1987-06-01 17.537
1987-07-01 17.593
1987-08-01 17.63
1987-09-01 17.691
1987-10-01 17.729
1987-11-01 17.775
1987-12-01 17.809
1988-01-01 17.79
1988-02-01 17.823
1988-03-01 17.844
1988-04-01 17.874
1988-05-01 17.892
1988-06-01 17.916
1988-07-01 17.926
1988-08-01 17.891
1988-09-01 17.914
1988-10-01 17.966
1988-11-01 18.003
1988-12-01 18.025
1989-01-01 18.057
1989-02-01 18.055
1989-03-01 18.06
1989-04-01 18.055
1989-05-01 18.04
1989-06-01 18.013
1989-07-01 17.98
1989-08-01 17.964
1989-09-01 17.922
1989-10-01 17.895
1989-11-01 17.886
1989-12-01 17.881
1990-01-01 17.797
1990-02-01 17.893
1990-03-01 17.868
1990-04-01 17.845
1990-05-01 17.797
1990-06-01 17.776
1990-07-01 17.704
1990-08-01 17.649
1990-09-01 17.609
1990-10-01 17.577
1990-11-01 17.428
1990-12-01 17.395
1991-01-01 17.33
1991-02-01 17.211
1991-03-01 17.14
1991-04-01 17.093
1991-05-01 17.07
1991-06-01 17.044
1991-07-01 17.015
1991-08-01 17.025
1991-09-01 17.01
1991-10-01 16.999
1991-11-01 16.961
1991-12-01 16.916
1992-01-01 16.839
1992-02-01 16.829
1992-03-01 16.805
1992-04-01 16.831
1992-05-01 16.835
1992-06-01 16.826
1992-07-01 16.819
1992-08-01 16.783
1992-09-01 16.761
1992-10-01 16.751
1992-11-01 16.758
1992-12-01 16.769
1993-01-01 16.791
1993-02-01 16.805
1993-03-01 16.795
1993-04-01 16.772
1993-05-01 16.766
1993-06-01 16.742
1993-07-01 16.739
1993-08-01 16.741
1993-09-01 16.769
1993-10-01 16.778
1993-11-01 16.8
1993-12-01 16.815
1994-01-01 16.855
1994-02-01 16.862
1994-03-01 16.897
1994-04-01 16.933
1994-05-01 16.962
1994-06-01 17.01
1994-07-01 17.026
1994-08-01 17.081
1994-09-01 17.115
1994-10-01 17.144
1994-11-01 17.186
1994-12-01 17.217
1995-01-01 17.262
1995-02-01 17.265
1995-03-01 17.263
1995-04-01 17.278
1995-05-01 17.259
1995-06-01 17.247
1995-07-01 17.218
1995-08-01 17.24
1995-09-01 17.247
1995-10-01 17.216
1995-11-01 17.209
1995-12-01 17.231
1996-01-01 17.208
1996-02-01 17.229
1996-03-01 17.193
1996-04-01 17.204
1996-05-01 17.222
1996-06-01 17.226
1996-07-01 17.223
1996-08-01 17.255
1996-09-01 17.252
1996-10-01 17.268
1996-11-01 17.277
1996-12-01 17.284
1997-01-01 17.297
1997-02-01 17.316
1997-03-01 17.34
1997-04-01 17.349
1997-05-01 17.362
1997-06-01 17.387
1997-07-01 17.389
1997-08-01 17.452
1997-09-01 17.465
1997-10-01 17.513
1997-11-01 17.556
1997-12-01 17.588  
1998-01-01 17.619
1998-02-01 17.627
1998-03-01 17.637
1998-04-01 17.637
1998-05-01 17.624
1998-06-01 17.608
1998-07-01 17.422
1998-08-01 17.563
1998-09-01 17.557
1998-10-01 17.512
1998-11-01 17.465
1998-12-01 17.449
1999-01-01 17.427
1999-02-01 17.395
1999-03-01 17.368
1999-04-01 17.344
1999-05-01 17.333
1999-06-01 17.295
1999-07-01 17.308
1999-08-01 17.287
1999-09-01 17.281
1999-10-01 17.272
1999-11-01 17.282
1999-12-01 17.28
2000-01-01 17.284
2000-02-01 17.285
2000-03-01 17.302
2000-04-01 17.298
2000-05-01 17.279
2000-06-01 17.296
2000-07-01 17.322
2000-08-01 17.287
2000-09-01 17.23
2000-10-01 17.217
2000-11-01 17.202
2000-12-01 17.181
2001-01-01 17.104
2001-02-01 17.028
2001-03-01 16.938
2001-04-01 16.802
2001-05-01 16.661
2001-06-01 16.515
2001-07-01 16.382
2001-08-01 16.232
2001-09-01 16.117
2001-10-01 15.972
2001-11-01 15.825
2001-12-01 15.711
2002-01-01 15.587
2002-02-01 15.515
2002-03-01 15.443
2002-04-01 15.392
2002-05-01 15.337
2002-06-01 15.298
2002-07-01 15.256
2002-08-01 15.171
2002-09-01 15.119
2002-10-01 15.06
2002-11-01 14.992
2002-12-01 14.912
2003-01-01 14.866
2003-02-01 14.781
2003-03-01 14.721
2003-04-01 14.609
2003-05-01 14.557
2003-06-01 14.493
2003-07-01 14.402
2003-08-01 14.376
2003-09-01 14.347
2003-10-01 14.334
2003-11-01 14.316
2003-12-01 14.3
2004-01-01 14.29
2004-02-01 14.279
2004-03-01 14.287
2004-04-01 14.315
2004-05-01 14.342
2004-06-01 14.332
2004-07-01 14.33
2004-08-01 14.345
2004-09-01 14.331
2004-10-01 14.332
2004-11-01 14.307
2004-12-01 14.287
2005-01-01 14.257
2005-02-01 14.273
2005-03-01 14.269
2005-04-01 14.25
2005-05-01 14.256
2005-06-01 14.227
2005-07-01 14.226
2005-08-01 14.203
2005-09-01 14.175
2005-10-01 14.192
2005-11-01 14.187
2005-12-01 14.193
2006-01-01 14.21
2006-02-01 14.209
2006-03-01 14.214
2006-04-01 14.226
2006-05-01 14.203
2006-06-01 14.213
2006-07-01 14.188
2006-08-01 14.159
2006-09-01 14.125
2006-10-01 14.075
2006-11-01 14.041
2006-12-01 14.015
2007-01-01 14.008
2007-02-01 13.997
2007-03-01 13.97
2007-04-01 13.945
2007-05-01 13.929
2007-06-01 13.911
2007-07-01 13.889
2007-08-01 13.828
2007-09-01 13.79
2007-10-01 13.764
2007-11-01 13.757
2007-12-01 13.746
2008-01-01 13.725
2008-02-01 13.696
2008-03-01 13.659
2008-04-01 13.599
2008-05-01 13.564
2008-06-01 13.504
2008-07-01 13.43
2008-08-01 13.358
2008-09-01 13.275
2008-10-01 13.147
2008-11-01 13.034
2008-12-01 12.85
2009-01-01 12.561
2009-02-01 12.38
2009-03-01 12.208
2009-04-01 12.03
2009-05-01 11.862
2009-06-01 11.726
2009-07-01 11.668
2009-08-01 11.626
2009-09-01 11.591
2009-10-01 11.538
2009-11-01 11.509
2009-12-01 11.475
2010-01-01 11.46
2010-02-01 11.453
2010-03-01 11.453
2010-04-01 11.489
2010-05-01 11.525
2010-06-01 11.545
2010-07-01 11.561
2010-08-01 11.553
2010-09-01 11.563
2010-10-01 11.562
2010-11-01 11.585
2010-12-01 11.595
2011-01-01 11.618
2011-02-01 11.653
2011-03-01 11.67
2011-04-01 11.7
2011-05-01 11.712
2011-06-01 11.724
2011-07-01 11.742
2011-08-01 11.766
2011-09-01 11.771
2011-10-01 11.776
2011-11-01 11.774
2011-12-01 11.799
2012-01-01 11.834
2012-02-01 11.857
2012-03-01 11.899
2012-04-01 11.916
2012-05-01 11.93
2012-06-01 11.941
2012-07-01 11.965
2012-08-01 11.961
2012-09-01 11.948
2012-10-01 11.951
2012-11-01 11.947
2012-12-01 11.961
2013-01-01 11.98
2013-02-01 12.002
2013-03-01 12.006
2013-04-01 12.006
2013-05-01 12.007
2013-06-01 12.005
2013-07-01 11.983
2013-08-01 12.011
2013-09-01 12.022
2013-10-01 12.04
2013-11-01 12.072
2013-12-01 12.086
2014-01-01 12.102
2014-02-01 12.122
2014-03-01 12.131
2014-04-01 12.142
2014-05-01 12.154
2014-06-01 12.177
2014-07-01 12.191
2014-08-01 12.205
2014-09-01 12.214
2014-10-01 12.237
2014-11-01 12.282
2014-12-01 12.301
2015-01-01 12.295
2015-02-01 12.303
2015-03-01 12.311
2015-04-01 12.317
2015-05-01 12.334
2015-06-01 12.338
2015-07-01 12.357
2015-08-01 12.343
2015-09-01 12.35
2015-10-01 12.361
2015-11-01 12.357
2015-12-01 12.362
2016-01-01 12.384
2016-02-01 12.369
2016-03-01 12.344
2016-04-01 12.351
2016-05-01 12.333
2016-06-01 12.353
2016-07-01 12.37
2016-08-01 12.347
2016-09-01 12.344
2016-10-01 12.341
2016-11-01 12.341
2016-12-01 12.355
2017-01-01 12.368
2017-02-01 12.386
2017-03-01 12.395
2017-04-01 12.403
2017-05-01 12.405
2017-06-01 12.42
2017-07-01 12.417
2017-08-01 12.459
2017-09-01 12.467
2017-10-01 12.487
2017-11-01 12.517
2017-12-01 12.545
2018-01-01 12.561
2018-02-01 12.592
2018-03-01 12.612
2018-04-01 12.634
2018-05-01 12.655
2018-06-01 12.687
2018-07-01 12.707
2018-08-01 12.715
2018-09-01 12.733
2018-10-01 12.762
2018-11-01 12.789
2018-12-01 12.809
2019-01-01 12.826
2019-02-01 12.834
2019-03-01 12.831
2019-04-01 12.834
2019-05-01 12.836
2019-06-01 12.846
2019-07-01 12.85
2019-08-01 12.852
2019-09-01 12.854
2019-10-01 12.809
2019-11-01 12.867
2019-12-01 12.855
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Source: EPI analysis of Bureau of Labor Statistics 2020 Manufacturing Employment data series [CES3000000001].

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Trump has not brought these jobs back, nor will his present policies change the status quo. Globalization, and China trade in particular, have also hurt countless communities throughout the country, especially in the upper Midwest, mid-Atlantic, and Northeast regions. The nation has lost a generation of skilled manufacturing workers, many of whom have dropped out of the labor force and never returned. All of this globalized trade has reduced the wages of roughly 100 million Americans, all non-college educated workers, by roughly $2,000 per year.

In addition, more than half of the U.S. manufacturing jobs lost in the past two decades were due to the growing trade deficit with China, which eliminated 3.7 million U.S. jobs, including 2.8 million manufacturing jobs, between 2001 and 2018. In fact, the United States lost 700,000 jobs to China in the first two years of the Trump administration, as shown in our recent report. The phase one trade deal will not bring those jobs back, either.

In the State of the Union, Trump will claim that he has created a “great American comeback” and generated a “blue-collar boom” with strong wage gains for lower-income workers. As shown in Figure B, below, globalization has generated huge wage gains for those in the top 20% and especially those in the top 10%, top 1%, and top 0.1% of the income distribution. Average wages for the top 20% increased $15 per hour (33.4%) over the past two decades. Wage gains for the bottom 80% ranged from $1.39 to $2.46 per hour (13.5% to 16.4%).

Figure B

Globalization gave the vast majority of wage gains to the top 20%: Change in real wages by income group, 1998–2019

 

Income group Percent Real dollars
Bottom 20% 16.4% $1.39
Middle 60% 13.5%   $2.46
Top 20% 33.4% $15.13
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Source: EPI analysis of Current Population Survey microdata

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Donald Trump has failed to reverse these trends, and in many ways, has made them worse. In the past three years, the vast majority of wage gains have gone to workers in the top 20%, continuing the inequality that has been well-established in the era of globalization as shown in Figure C, below. Over the past three years, workers in the top 20% enjoyed average real wage gains of $2.61 per hour, five times the gains of workers in the bottom quintile and nearly 3.5 times the gains enjoyed in the middle 60%.

Figure C

Trump has left the middle class behind, and delivered the vast bulk of real wage gains to the top 20% of workers, 2016–2019

Income group Percent Real dollars
Bottom 20% 5.6% $0.52
Middle 60% 3.8%  $0.76 
Top 20% 4.5% $2.61
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Source: EPI analysis of Current Population Survey microdata

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Wage gains were significantly larger for workers in the bottom 20% than they were for middle-class workers, due largely to measures such as higher minimum wages that took effect in 13 states and the District of Columbia in 2018 and 19 states in January 2019. These are policies that were implemented by state legislatures and local governments around the country to help offset the effects of a decline in the real value of the federal minimum wage. They also helped offset the negative effects of dozens of efforts by the Trump Labor Department to weaken labor standards, attack worker rights, and roll back wages.

Globalization has reduced wages for working Americans by putting non-college educated workers into a competitive race to the bottom in wages, benefits, and working conditions with low-wage workers in Mexico, China, and other low-pay, rapidly industrializing countries. The Trump administration’s two trade deals don’t change that reality. Workers counting on Trump to deliver a “great American comeback” have been left waiting at the station.