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Election results, 2020: Boomerang Pivot Counties

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2020 Election Analysis:
Pivot Counties
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Pivot Counties in the 2020 presidential election
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Pivot Counties are the 206 counties nationwide that Ballotpedia identified as having voted forBarack Obama (D) in 2008 and 2012 andDonald Trump (R) in the2016 presidential election. These counties are sometimes referred to as swing counties by media and political observers.

This page provides a list and overview of theBoomerang Pivot Counties, defined as a Pivot County that voted for Trump in 2016 and forJoe Biden (D) in 2020. For more information onRetained Pivot Counties, those that voted for Trump in 2016 and 2020,click here.

Trump won181 Retained Pivot Counties across 32 states to Biden's25 Boomerang Pivot Counties across 16 states.[1][2]

On this page, you will find:

Overview

Map of Boomerang Pivot Counties

Margin of victory analysis

This table provides a comparison of the 2020 presidential election margins of victory in the 25 Boomerang Pivot Counties with historical margins in the same counties from 2008 to 2016. The first column shows Biden's performance in 2020 followed by Trump's in 2016 and Obama's in 2012 and 2008. The upper section shows the average margins of victory in terms of percentage points and the lower section shows the average in terms of total votes. The second and fourth rows show the historical averages across all 206 Pivot Counties.

Overall, Biden's margin of victory in Boomerang Pivot Counties did not exceed Obama's margins in 2008 and 2012. In previous elections, Trump underperformed in Boomerang Pivot Counties relative to his national averages and medians. In contrast, Obama overperformed in these counties.

Margin of victory overview in the 25 Boomerang Pivot Counties following the 2020 election
2020
(Biden)
2016
(Trump)
2012
(Obama)
2008
(Obama)
Average margins of victory
Percentage points in
Boomerang Pivot Counties
+3.3+2.1+10.0+13.5
Percentage points in
all Pivot Counties
-+11.5+8.2+12.3
Total votes in
Boomerang Pivot Counties
2,6701,4449,1199,406
Total votes in
all Pivot Counties
-2,8242,7473,692


Compared to Obama's results in 2012, the last time a Democrat won in these counties, Biden's margin of victory in Boomerang Pivot Counties decreased in 22 and increased in three:Hillsborough County, New Hampshire,Saratoga County, New York, andClallam County, Washington.

The table below shows the five Pivot Counties with the largest change in margin of victory towards Biden compared toHillary Clinton's (D) 2016 results, all of which are Boomerang Pivot Counties. Obama's margins from 2012 are included for reference.

Largest margin changes in the 206 Pivot Counties towards Biden, 2020
CountyStateChange from 20162020 margin2016 margin2012 margin
Ziebach CountySouth DakotaD+10.5D+8.5R+2.0D+16.4
Kent CountyDelawareD+8.9D+4.1R+4.9D+4.9
Saratoga CountyNew YorkD+8.6D+5.4R+3.2D+2.4
Kent CountyRhode IslandD+8.3D+7.6R+0.7D+17.7
Warren CountyNew YorkD+8.3R+0.2R+8.5D+2.3

List of Boomerang Pivot Counties

The table below lists all Boomerang Pivot Counties. Vote totals for Trump and Biden are included as well as the margins of victory from 2008 to 2012. Percentages and percentage points are the upper values with numerical vote totals included in parentheses below.

List of Boomerang Pivot Counties, 2020
CountyStateElection results, 2020Margins of victory
BidenTrump2020201620122008
Pueblo CountyColorado49.57%
(43,772)
47.85%
(42,252)
+1.72
(1,520)
+0.5
(390)
+13.99
(10,657)
+14.97
(10,840)
Kent CountyDelaware51.19%
(44,552)
47.12%
(41,009)
+4.07
(3,543)
+4.87
(3,640)
+4.94
(3,392)
+9.81
(6,565)
Pinellas CountyFlorida49.44%
(277,450)
49.22%
(276,209)
+0.22
(1,241)
+1.11
(5,500)
+5.65
(85,846)
+8.25
(38,233)
Kennebec CountyMaine48.57%
(34,902)
48.32%
(34,721)
+0.25
(181)
+3.58
(2,373)
+13.46
(8,549)
+14.78
(9,756)
Saginaw CountyMichigan49.37%
(51,088)
49.08%
(50,785)
+0.29
(303)
+1.13
(1,073)
+11.89
(11,661)
+17.34
(18,051)
Blue Earth CountyMinnesota50.84%
(18,330)
46.41%
(16,731)
+4.44
(1,599)
+3.69
(1,239)
+9.48
(3,248)
+12.95
(4,543)
Clay CountyMinnesota50.74%
(16,357)
46.66%
(15,043)
+4.08
(1,314)
+1.95
(572)
+7.92
(2,288)
+16.02
(4,688)
Nicollet CountyMinnesota50.31%
(9,622)
47.15%
(9,018)
+3.16
(604)
+3.04
(551)
+7.83
(1,438)
+10.52
(1,919)
Winona CountyMinnesota49.07%
(13,333)
48.68%
(13,227)
+0.39
(106)
+2.9
(756)
+12.85
(3,500)
+19.09
(5,333)
Blaine CountyMontana50.96%
(1,589)
47.11%
(1,469)
+3.85
(120)
+2.46
(66)
+15.32
(438)
+19.24
(563)
Hillsborough CountyNew Hampshire52.81%
(122,344)
45.16%
(104,625)
+7.65
(17,719)
+0.2
(424)
+1.12
(2,312)
+3.73
(7,642)
Sullivan CountyNew Hampshire50.69%
(12,390)
47.08%
(11,508)
+3.61
(882)
+2.58
(586)
+13.27
(2,897)
+17.93
(4,080)
Gloucester CountyNew Jersey49.99%
(86,702)
48.05%
(83,340)
+1.94
(3,362)
+0.48
(674)
+10.77
(14,557)
+12.16
(16,952)
Broome CountyNew York50.53%
(47,010)
47.08%
(43,800)
+3.45
(3,210)
+2.01
(1,731)
+5.31
(4,329)
+8.02
(7,127)
Essex CountyNew York51.62%
(9,947)
46.58%
(8,976)
+5.04
(971)
+1.14
(196)
+18.77
(3,137)
+13.32
(2,477)
Rensselaer CountyNew York51.59%
(40,969)
45.96%
(36,500)
+5.63
(4,469)
+1.41
(1,009)
+12.19
(8,295)
+9.34
(6,913)
Saratoga CountyNew York51.62%
(68,471)
46.21%
(61,305)
+5.4
(7,166)
+3.21
(3,662)
+2.44
(2,575)
+3.4
(3,790)
Montgomery CountyOhio50.18%
(135,064)
47.94%
(129,034)
+2.24
(6,030)
+0.73
(1,893)
+4.62
(12,298)
+6.22
(17,318)
Erie CountyPennsylvania49.66%
(68,286)
48.63%
(66,869)
+1.03
(1,417)
+1.56
(1,957)
+16.03
(19,011)
+19.88
(25,424)
Northampton CountyPennsylvania49.64%
(85,087)
48.92%
(83,854)
+0.72
(1,233)
+3.78
(5,464)
+4.71
(6,160)
+12.3
(16,704)
Kent CountyRhode Island52.76%
(49,113)
45.12%
(42,001)
+7.64
(7,112)
+0.67
(548)
+17.74
(13,997)
+17.4
(14,626)
Ziebach CountySouth Dakota53.09%
(481)
44.59%
(404)
+8.5
(77)
+1.96
(15)
+16.43
(125)
+27.16
(242)
Clallam CountyWashington50.18%
(24,721)
46.81%
(23,062)
+3.37
(1,659)
+2.76
(1,117)
+0.38
(143)
+3.3
(1,271)
Door CountyWisconsin49.93%
(10,044)
48.48%
(9,752)
+1.45
(292)
+3.22
(566)
+6.99
(1,236)
+17.33
(3,030)
Sauk CountyWisconsin50.02%
(18,108)
48.32%
(17,493)
+1.7
(615)
+0.35
(109)
+18.47
(5,898)
+23.04
(7,055)

Last updated: Jan. 4, 9:30 a.m. ET

See also

Footnotes

  1. This analysis does not include counties in Alaska and certain independent cities due to variations in vote total reporting.
  2. The raw data for this study was provided by Dave Leip ofAtlas of U.S. Presidential Elections.
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