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Thursday, October 31, 2019

Matchback 10.30.2019: State and local counties

Summary:

Exactly 610, 451 ballots have been 'Accepted' or 'Received' in last night's (10/30/2019) statewide matchback. Another 
8,323 have been rejected or 'challenged'.  The WA SoS  total  for this is 618,984  'Ballots Received' for a turnout of 13.8%. This statewide total is  ~41% of the approximately 1.5M votes received for each of the 2015 and 2017  ('off year') general elections. To see my piece on projected ballot totals for this election please see here

The current vote is dominated by those born in the 1940s or 1950s (now ages 60 - 79). These two decades have a combined 300,010 ballots accepted. By comparison, those born 1980 or afterwards (ages 18 - 39) have a combined 26% of that (
300,010total with 79,289 ballots accepted.  That "youth" or millennial vote in WA still has not yet to compete with the pre-war and boomer votes in this general election. (That percentage is unchanged in the last two matchback reports.)  GenXrs, those born in the 60s and 70s are contributing 155,966 votes.  But keep in mind this amazing statistic: Those born in the 1930s (55,720 voted) are currently outvoting those born in the 1980s(48,735 voted). Say what you will about the older vote: Pre-wars and boomers vote like their lives depend upon it.   Please see 'Age by Status' below.  To see my updated and ongoing piece on WWU precinct turnout, see here.


Men are currently out voting women in 25 of 39 counties but this is the first time in my matchback reports that summed female and male votes are nearly equal.  I am reminded that I noticed a strong male registration trend in July 2018. Personally, I am thinking this is male backlash to the women's movement, but more on that this weekend. For the state as a whole:


   BallotStatus Female   Male
1:     Accepted 299290 299815 # Ready for tabulation
2:     Received   4687   4330 # In the chute
3:     Rejected   3919   4319 # Challenged or Rejected
 
For our neck of woods (Whatcom, Skagit, San Juan), accepted female votes are ahead of male votes for the second time in these matchback reports:

   BallotStatus Female  Male
1:     Accepted  17816 17141
2:     Rejected    166   205

Tables made from rdata.table code with output follow the break. Widescreen is best for viewing:


# [All State: 11.30.2019] 
sMB103019[,.N,.(BallotStatus)]
   BallotStatus      N
1:     Accepted 601402
2:     Rejected   8323
3:     Received   9049

VR[StatusCode == "Active",.N]
[1] 4479369
# All status active as of October 1 (4.47M)

# Percentage Accepted and Received as of 10.30.2019
#(601402+9049)/VR[StatusCode == "Active",.N] * 100

See also https://www.sos.wa.gov/elections/research/ballot-return-statistics.aspx

#[All State: Challenge Reason]
sMB103019[BallotStatus == "Rejected",.N]
[1] 8323

sMB103019[,.N,.(ChallengeReason)][order(-N)]
              ChallengeReason      N
 1:                           610457 Accepted
 2:  Signature Does Not Match   3071
 3:                  Unsigned   2422
 4:             Undeliverable   1198
 5:                    Review    477
 6:                      HOLD    450
 7:          Other than Voter    203
 8:       Ballot Style Change    151
 9:                  Deceased     47
10:              Marked Moved     45
11:               ID Required     44
12:      No Signature on File     38
13:         Voter Name Change     28
14:          Other Than Voter     28
15:   Advanced Special Ballot     26
16:          Canvassing Board     24
17:            Empty Envelope     19
18:                      Hold     19
19: Witness Signature Missing     13
20:                   Invalid      6
21:               Id Required      4
22:         Power of Attorney      3
23:         Power Of Attorney      1
              ChallengeReason      N

sMB103019[County == "Whatcom",.N,.(ChallengeReason)][order(-N)]
             ChallengeReason     N
 1:                          23085
 2: Signature Does Not Match    75
 3:                 Unsigned    51
 4:         Other than Voter    29
 5:      Ballot Style Change    18
 6:                     HOLD    10
 7:                   Review     7
 8:                 Deceased     1
 9:              ID Required     1
10:           Empty Envelope     1

# [Whatcom County]
sMB103019[County == "Whatcom",.N,.(BallotStatus)]
   BallotStatus     N
1:     Accepted 23084
2:     Rejected   194

Age By Status (All State):
sMB103019[,.N,.(Decade=paste0(year(mdy_hm(DOB))%/%10,"0s"),BallotStatus)][,
dcast(.SD, BallotStatus ~ Decade, value.var="N",fun.aggregate=fsum)]

   BallotStatus 1900s 1910s 1920s 1930s  1940s  1950s 1960s 1970s 1980s 1990s 2000s
1:     Accepted     2   221 10194 55720 142725 157285 95032 60934 48735 27137  3417
2:     Received     0     3   113   665   1961   2250  1533  1080   802   569    73
3:     Rejected     0     4   152   494   1020   1490  1258  1163  1247  1278   217

sMB103019[Gender == "M" | Gender == "F",.N,.(Gender,BallotStatus)][,
setnames(dcast(.SD, BallotStatus ~ Gender, value.var="N",fun.aggregate=fsum),
c("BallotStatus","Female","Male"))]

   BallotStatus Female   Male
1:     Accepted 299290 299815
2:     Received   4687   4330
3:     Rejected   3919   4319

Age By Status ("Whatcom","Skagit","San Juan"):
sMB103019[County %in% c("Whatcom","Skagit","San Juan"),
.N,.(Decade=paste0(year(mdy_hm(DOB))%/%10,"0s"),BallotStatus)][,
dcast(.SD, BallotStatus ~ Decade, value.var="N",fun.aggregate=fsum)]

   BallotStatus 1910s 1920s 1930s 1940s 1950s 1960s 1970s 1980s 1990s 2000s
1:     Accepted    18   681  3576  9491  9243  4676  3099  2497  1532   218
2:     Rejected     0    10    33    64    67    60    44    47    43     6

sMB103019[County %in% c("Whatcom","Skagit","San Juan"),][
Gender == "M" | Gender == "F",.N,.(Gender,BallotStatus)][,
setnames(dcast(.SD, BallotStatus ~ Gender, value.var="N",fun.aggregate=fsum),
c("BallotStatus","Female","Male"))]

   BallotStatus Female  Male
1:     Accepted  17816 17141
2:     Rejected    166   205

sMB103019[(Gender == "M" | Gender == "F") & County %in% c("Whatcom","Skagit","San Juan"),
.N,.(County,Gender)][order(County,-Gender)]

     County Gender     N
1: San Juan      M   997
2: San Juan      F  1034
3:   Skagit      M  5048
4:   Skagit      F  5026
5:  Whatcom      M 11301
6:  Whatcom      F 11922

VR[(Gender == "M" | Gender == "F") & StatusCode == "Active" & CountyCode %in% c("WM","SK","SJ"),
.N,.(CountyCode,Gender)][order(CountyCode,-Gender)]
   CountyCode Gender     N
1:         SJ      M  6481
2:         SJ      F  7164
3:         SK      M 36785
4:         SK      F 40808
5:         WM      M 69437
6:         WM      F 75676

# October 1st VRDB WA ('whole enchilada')
VR[StatusCode == "Active",.N,.(Gender)]
   Gender       N
1:      M 2145204
2:      F 2313683
3:           5806
4:      U   14549
5:      O     127

# Status Active just our neck of woods: Whatcom, Skagit, San Juan
VR[StatusCode == "Active" & CountyCode %in% c("WM","SK","SJ"),.N,.(Gender)]
   Gender      N
1:      F 123648
2:      M 112703
3:           425
4:      U     52
5:      O     14

sMB103019[(Gender == "M" | Gender == "F"),
.N,.(County,Gender)][order(County,-Gender)][,
dcast(.SD, County ~ Gender,value.var="N",fun.aggregate=fsum)][,
.(County,Male=M,Female=F)][,
.SD[,.(Pct.Male=round(Male/(Male+Female),3) * 100)],
.(County,Male,Female)]
* = female outvoting male

          County  Male Female Pct.Male
 1:        Adams   491    523     48.4 *
 2:       Asotin  1379   1416     49.3 *
 3:       Benton  6795   6558     50.9
 4:       Chelan  4029   4030     50.0 *
 5:      Clallam  4572   4745     49.1 *
 6:        Clark 17191  17158     50.0
 7:     Columbia   294    284     50.9
 8:      Cowlitz  4242   4138     50.6
 9:      Douglas  1974   2022     49.4 *
10:        Ferry   596    544     52.3
11:     Franklin  2058   1997     50.8
12:     Garfield   160    159     50.2
13:        Grant  3344   3207     51.0
14: Grays Harbor  3955   4251     48.2 *
15:       Island  4904   4924     49.9 *
16:    Jefferson  2439   2537     49.0 *
17:         King 89213  87325     50.5
18:       Kitsap 13044  12776     50.5
19:     Kittitas  2318   2223     51.0
20:    Klickitat  1176   1154     50.5
21:        Lewis  4093   3956     50.9
22:      Lincoln   928    910     50.5
23:        Mason  4453   4275     51.0
24:     Okanogan  1862   1793     50.9
25:      Pacific  1111   1069     51.0
26: Pend Oreille  1020    923     52.5
27:       Pierce 29792  29534     50.2
28:     San Juan   997   1034     49.1 *
29:       Skagit  5048   5026     50.1
30:     Skamania   458    435     51.3
31:    Snohomish 25520  25412     50.1
32:      Spokane 29701  31354     48.6 *
33:      Stevens  3056   2952     50.9
34:     Thurston 13283  13586     49.4 *
35:    Wahkiakum   207    199     51.0
36:  Walla Walla  2353   2428     49.2 *
37:      Whatcom 11301  11922     48.7 *
38:      Whitman  1541   1559     49.7 *
39:       Yakima  7566   7558     50.0 
          County  Male Female Pct.Male


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