B29001_001 Estimate!!Total CITIZEN, VOTING-AGE POPULATION
## Getting data from the 2014-2018 5-year ACS
2020 Ohio Presidential Election
## Warning: package 'sf' was built under R version 4.0.3
## Linking to GEOS 3.8.0, GDAL 3.0.4, PROJ 6.3.1
## Warning in st_centroid.sf(oh): st_centroid assumes attributes are constant over
## geometries of x
## Warning in st_centroid.sfc(st_geometry(x), of_largest_polygon =
## of_largest_polygon): st_centroid does not give correct centroids for longitude/
## latitude data
## Warning: package 'kableExtra' was built under R version 4.0.2
##
## Attaching package: 'kableExtra'
## The following object is masked from 'package:dplyr':
##
## group_rows
Votes by county in Ohio State
|
county
|
candidate
|
total_votes
|
|
Cuyahoga
|
Joe Biden
|
416176
|
|
Franklin
|
Joe Biden
|
409144
|
|
Hamilton
|
Joe Biden
|
246266
|
|
Summit
|
Joe Biden
|
151668
|
|
Montgomery
|
Joe Biden
|
135064
|
|
Lucas
|
Joe Biden
|
115411
|
|
Butler
|
Donald Trump
|
114392
|
|
Stark
|
Donald Trump
|
111097
|
|
Warren
|
Donald Trump
|
87988
|
|
Lorain
|
Donald Trump
|
79520
|
|
Clermont
|
Donald Trump
|
74570
|
|
Lake
|
Donald Trump
|
73278
|
|
Delaware
|
Donald Trump
|
66356
|
|
Medina
|
Donald Trump
|
64598
|
|
Mahoning
|
Donald Trump
|
59903
|
|
Licking
|
Donald Trump
|
59514
|
|
Trumbull
|
Donald Trump
|
55194
|
|
Greene
|
Donald Trump
|
52072
|
|
Fairfield
|
Donald Trump
|
50797
|
|
Portage
|
Donald Trump
|
45990
|
|
Richland
|
Donald Trump
|
41472
|
|
Miami
|
Donald Trump
|
41371
|
|
Clark
|
Donald Trump
|
39032
|
|
Wayne
|
Donald Trump
|
36759
|
|
Wood
|
Donald Trump
|
35757
|
|
Columbiana
|
Donald Trump
|
35726
|
|
Geauga
|
Donald Trump
|
34143
|
|
Allen
|
Donald Trump
|
33116
|
|
Tuscarawas
|
Donald Trump
|
30458
|
|
Muskingum
|
Donald Trump
|
27867
|
|
Ashtabula
|
Donald Trump
|
26890
|
|
Hancock
|
Donald Trump
|
26310
|
|
Belmont
|
Donald Trump
|
23560
|
|
Jefferson
|
Donald Trump
|
22828
|
|
Scioto
|
Donald Trump
|
22609
|
|
Knox
|
Donald Trump
|
22340
|
|
Washington
|
Donald Trump
|
22307
|
|
Ross
|
Donald Trump
|
22278
|
|
Erie
|
Donald Trump
|
22160
|
|
Darke
|
Donald Trump
|
22004
|
|
Union
|
Donald Trump
|
21669
|
|
Auglaize
|
Donald Trump
|
20798
|
|
Pickaway
|
Donald Trump
|
20593
|
|
Shelby
|
Donald Trump
|
20422
|
|
Lawrence
|
Donald Trump
|
20306
|
|
Mercer
|
Donald Trump
|
19452
|
|
Ashland
|
Donald Trump
|
19407
|
|
Marion
|
Donald Trump
|
19023
|
|
Huron
|
Donald Trump
|
18956
|
|
Sandusky
|
Donald Trump
|
18896
|
|
Logan
|
Donald Trump
|
17964
|
|
Seneca
|
Donald Trump
|
17086
|
|
Preble
|
Donald Trump
|
17022
|
|
Brown
|
Donald Trump
|
16480
|
|
Putnam
|
Donald Trump
|
16412
|
|
Fulton
|
Donald Trump
|
15731
|
|
Highland
|
Donald Trump
|
15678
|
|
Clinton
|
Donald Trump
|
15488
|
|
Crawford
|
Donald Trump
|
15436
|
|
Athens
|
Joe Biden
|
14772
|
|
Ottawa
|
Donald Trump
|
14628
|
|
Champaign
|
Donald Trump
|
14589
|
|
Morrow
|
Donald Trump
|
14077
|
|
Madison
|
Donald Trump
|
13835
|
|
Williams
|
Donald Trump
|
13452
|
|
Guernsey
|
Donald Trump
|
13407
|
|
Defiance
|
Donald Trump
|
13038
|
|
Perry
|
Donald Trump
|
12357
|
|
Coshocton
|
Donald Trump
|
12325
|
|
Van Wert
|
Donald Trump
|
11650
|
|
Jackson
|
Donald Trump
|
11309
|
|
Holmes
|
Donald Trump
|
10796
|
|
Carroll
|
Donald Trump
|
10745
|
|
Gallia
|
Donald Trump
|
10645
|
|
Henry
|
Donald Trump
|
10479
|
|
Hardin
|
Donald Trump
|
9949
|
|
Adams
|
Donald Trump
|
9870
|
|
Hocking
|
Donald Trump
|
9737
|
|
Fayette
|
Donald Trump
|
9473
|
|
Pike
|
Donald Trump
|
9157
|
|
Wyandot
|
Donald Trump
|
8462
|
|
Meigs
|
Donald Trump
|
8316
|
|
Paulding
|
Donald Trump
|
7086
|
|
Harrison
|
Donald Trump
|
5792
|
|
Monroe
|
Donald Trump
|
5463
|
|
Noble
|
Donald Trump
|
5135
|
|
Morgan
|
Donald Trump
|
5041
|
|
Vinton
|
Donald Trump
|
4632
|
## Getting data from the 2015-2019 5-year ACS
## Simple feature collection with 352 features and 7 fields
## geometry type: MULTIPOLYGON
## dimension: XY
## bbox: xmin: -84.82 ymin: 38.4 xmax: -80.52 ymax: 41.98
## geographic CRS: NAD83
## First 10 features:
## GEOID NAME variable estimate moe summary_est summary_moe
## 1 39035 Cuyahoga County, Ohio White 734951 524 1247451 NA
## 2 39035 Cuyahoga County, Ohio Black 364770 1516 1247451 NA
## 3 39035 Cuyahoga County, Ohio Asian 37507 708 1247451 NA
## 4 39035 Cuyahoga County, Ohio Hispanic 74024 NA 1247451 NA
## 5 39123 Ottawa County, Ohio White 37501 66 40632 NA
## 6 39123 Ottawa County, Ohio Black 497 86 40632 NA
## 7 39123 Ottawa County, Ohio Asian 87 41 40632 NA
## 8 39123 Ottawa County, Ohio Hispanic 2050 NA 40632 NA
## 9 39095 Lucas County, Ohio White 295844 317 431102 NA
## 10 39095 Lucas County, Ohio Black 81000 1055 431102 NA
## geometry
## 1 MULTIPOLYGON (((-81.97 41.3...
## 2 MULTIPOLYGON (((-81.97 41.3...
## 3 MULTIPOLYGON (((-81.97 41.3...
## 4 MULTIPOLYGON (((-81.97 41.3...
## 5 MULTIPOLYGON (((-82.74 41.5...
## 6 MULTIPOLYGON (((-82.74 41.5...
## 7 MULTIPOLYGON (((-82.74 41.5...
## 8 MULTIPOLYGON (((-82.74 41.5...
## 9 MULTIPOLYGON (((-83.11 41.7...
## 10 MULTIPOLYGON (((-83.11 41.7...
## Getting data from the 2015-2019 5-year ACS
## Getting data from the 2014-2018 5-year ACS
