North American Baptist Conference Counties (2010) [ Metro Areas | States ]
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The North American Baptist Conference was founded in 1843 as a German-American Baptist Fellowship.

Using data from the 1980-2010 Religious Congregations and Membership Studies, this list ranks U.S. counties on the highest total number of adherents and the highest percent of the population in the North American Baptist Conference. You can sort the list by clicking on the column headings.

Congregational "Adherents" include all full members, their children, and others who regularly attend services. "Percent" is the percentage of the total population that belongs to that denomination. Note: Adherents are sometimes residents of a county different than the location of their congregation.

[ More information on the data source ]

Complete List

Ranking County   [Download CSV]AdherentsPercent
48 Sacramento County, California
8,848
0.62
50 San Joaquin County, California
4,042
0.59
75 Orange County, California
1,734
0.06
71 Cuyahoga County, Ohio
1,306
0.1
45 Racine County, Wisconsin
1,306
0.67
72 Philadelphia County, Pennsylvania
1,302
0.09
59 Placer County, California
1,275
0.37
25 Burleigh County, North Dakota
1,259
1.55
42 Berrien County, Michigan
1,212
0.77
62 Lucas County, Ohio
1,190
0.27
67 Macomb County, Michigan
1,154
0.14
72 Palm Beach County, Florida
1,125
0.09
46 Kenosha County, Wisconsin
1,083
0.65
61 Northampton County, Pennsylvania
1,008
0.34
73 Hennepin County, Minnesota
948
0.08
76 Wayne County, Michigan
943
0.05
70 Pierce County, Washington
843
0.11
54 Minnehaha County, South Dakota
819
0.48
80 Cook County, Illinois
778
0.01
68 Washington County, Oregon
702
0.13
74 Erie County, New York
662
0.07
78 San Bernardino County, California
598
0.03
67 Dakota County, Minnesota
544
0.14
52 Pennington County, South Dakota
515
0.51
39 Ward County, North Dakota
515
0.84
45 Polk County, Oregon
508
0.67
1 McIntosh County, North Dakota
505
17.98
74 Multnomah County, Oregon
495
0.07
29 Des Moines County, Iowa
493
1.22
69 Waukesha County, Wisconsin
454
0.12
13 Lyon County, Iowa
424
3.66
14 Lake County, South Dakota
404
3.61
76 San Francisco County, California
403
0.05
49 Grand Forks County, North Dakota
400
0.6
76 Monroe County, New York
400
0.05
60 Kankakee County, Illinois
399
0.35
72 Clark County, Washington
391
0.09
17 Marion County, Kansas
380
3
3 Hanson County, South Dakota
365
10.96
30 Alpena County, Michigan
342
1.16
28 Barton County, Kansas
341
1.23
7 Bon Homme County, South Dakota
333
4.71
11 McLean County, North Dakota
333
3.72
21 Butler County, Iowa
328
2.21
23 Hardin County, Iowa
327
1.86
26 Stutsman County, North Dakota
314
1.49
78 DuPage County, Illinois
283
0.03
70 Weld County, Colorado
271
0.11
77 Snohomish County, Washington
258
0.04
79 Oakland County, Michigan
257
0.02
34 Lawrence County, South Dakota
246
1.02
71 McLennan County, Texas
246
0.1
79 Nassau County, New York
242
0.02
51 Whitman County, Washington
235
0.52
80 Riverside County, California
232
0.01
2 Sheridan County, North Dakota
228
17.26
31 Minidoka County, Idaho
227
1.13
18 Turner County, South Dakota
226
2.71
19 Mercer County, North Dakota
224
2.66
49 Brown County, South Dakota
221
0.6
40 Gladwin County, Michigan
214
0.83
37 Stark County, North Dakota
210
0.87
76 Clackamas County, Oregon
206
0.05
74 Ingham County, Michigan
205
0.07
9 Stafford County, Kansas
197
4.44
70 El Dorado County, California
196
0.11
52 Clinton County, Illinois
194
0.51
68 Cass County, North Dakota
190
0.13
57 Lincoln County, South Dakota
188
0.42
80 King County, Washington
182
0.01
38 Fayette County, Iowa
179
0.86
70 Hays County, Texas
175
0.11
47 Morton County, North Dakota
175
0.64
78 Fort Bend County, Texas
166
0.03
74 Washington County, Minnesota
164
0.07
20 Ellsworth County, Kansas
161
2.48
12 Wells County, North Dakota
156
3.71
72 Imperial County, California
155
0.09
80 Allegheny County, Pennsylvania
154
0.01
4 Campbell County, South Dakota
154
10.5
65 Platte County, Missouri
153
0.17
64 Jefferson County, Wisconsin
152
0.18
72 Greene County, Ohio
149
0.09
56 Washington County, Texas
148
0.44
5 Logan County, North Dakota
142
7.14
80 Dallas County, Texas
134
0.01
24 Grant County, South Dakota
134
1.82
68 Adams County, Pennsylvania
133
0.13
66 St. Landry Parish, Louisiana
133
0.16
13 Emmons County, North Dakota
130
3.66
39 Kingfisher County, Oklahoma
127
0.84
58 Platte County, Nebraska
126
0.39
69 Bay County, Michigan
125
0.12
32 Washita County, Oklahoma
122
1.05
79 Bucks County, Pennsylvania
119
0.02
71 Sheboygan County, Wisconsin
119
0.1
22 McHenry County, North Dakota
117
2.17
43 Iowa County, Iowa
116
0.71
6 Jerauld County, South Dakota
115
5.55
8 McPherson County, South Dakota
115
4.68
33 Barnes County, North Dakota
114
1.03
79 Arapahoe County, Colorado
110
0.02
16 Foster County, North Dakota
110
3.29
80 Hidalgo County, Texas
110
0.01
53 Meriwether County, Georgia
107
0.49
71 Missoula County, Montana
107
0.1
70 Carver County, Minnesota
104
0.11
15 Fallon County, Montana
104
3.6
77 Kitsap County, Washington
104
0.04
81 Los Angeles County, California
104
0
80 Alameda County, California
103
0.01
77 Thurston County, Washington
102
0.04
10 Grant County, North Dakota
98
4.09
79 Hudson County, New Jersey
98
0.02
36 Winnebago County, Iowa
98
0.9
63 Orleans County, New York
91
0.21
80 Mecklenburg County, North Carolina
88
0.01
80 Marion County, Indiana
87
0.01
79 Kane County, Illinois
83
0.02
59 Dickinson County, Kansas
73
0.37
72 Howard County, Indiana
71
0.09
66 Wyoming County, New York
69
0.16
35 Hutchinson County, South Dakota
68
0.93
79 Adams County, Colorado
67
0.02
64 McLeod County, Minnesota
67
0.18
62 Bremer County, Iowa
66
0.27
71 Sauk County, Wisconsin
65
0.1
65 Geary County, Kansas
59
0.17
67 Wilson County, Texas
59
0.14
76 La Crosse County, Wisconsin
57
0.05
55 Blaine County, Oklahoma
55
0.46
27 Corson County, South Dakota
55
1.36
81 Santa Clara County, California
52
0
28 Ellis County, Oklahoma
51
1.23
80 Lake County, Illinois
50
0.01
77 Black Hawk County, Iowa
48
0.04
41 Dewey County, South Dakota
43
0.81
80 Essex County, New Jersey
43
0.01
70 Ravalli County, Montana
43
0.11
74 Rutland County, Vermont
43
0.07
80 Denton County, Texas
41
0.01
81 Suffolk County, New York
40
0
44 Alfalfa County, Oklahoma
39
0.69
80 Stanislaus County, California
38
0.01
80 Erie County, Pennsylvania
36
0.01
66 Gage County, Nebraska
35
0.16
72 Webster County, Iowa
34
0.09
81 Travis County, Texas
31
0
79 Scott County, Minnesota
30
0.02
78 Bonneville County, Idaho
29
0.03
76 Starr County, Texas
28
0.05
81 Bexar County, Texas
19
0
77 Okanogan County, Washington
17
0.04
82 Adams County, North Dakota
--
--
82 Boone County, Missouri
--
--
82 Broward County, Florida
--
--
82 Campbell County, Wyoming
--
--
82 Clearfield County, Pennsylvania
--
--
82 Dakota County, Nebraska
--
--
82 Dane County, Wisconsin
--
--
82 Fairfield County, Connecticut
--
--
82 Franklin County, Iowa
--
--
82 Gasconade County, Missouri
--
--
82 Guadalupe County, Texas
--
--
82 Harris County, Texas
--
--
82 Houston County, Minnesota
--
--
82 Jackson County, Kansas
--
--
82 Jackson County, Missouri
--
--
82 Johnson County, Iowa
--
--
82 Johnson County, Kansas
--
--
82 Kalamazoo County, Michigan
--
--
82 Lincoln County, Washington
--
--
82 Linn County, Iowa
--
--
82 Livingston County, Michigan
--
--
82 Manitowoc County, Wisconsin
--
--
82 Marathon County, Wisconsin
--
--
82 Maricopa County, Arizona
--
--
82 Marinette County, Wisconsin
--
--
82 Marion County, Oregon
--
--
82 Medina County, Ohio
--
--
82 Middlesex County, New Jersey
--
--
82 Milwaukee County, Wisconsin
--
--
82 Mitchell County, Kansas
--
--
82 Montgomery County, Maryland
--
--
82 Montgomery County, Ohio
--
--
82 New Haven County, Connecticut
--
--
82 Peoria County, Illinois
--
--
82 Perkins County, South Dakota
--
--
82 Queens County, New York
--
--
82 Ramsey County, Minnesota
--
--
82 Richland County, Montana
--
--
82 Rio Grande County, Colorado
--
--
82 Roberts County, South Dakota
--
--
82 Rockwall County, Texas
--
--
82 Rush County, Kansas
--
--
82 Saguache County, Colorado
--
--
82 Sandusky County, Ohio
--
--
82 Sedgwick County, Kansas
--
--
82 Solano County, California
--
--
82 Spokane County, Washington
--
--
82 St. Lucie County, Florida
--
--
82 Swift County, Minnesota
--
--
82 Tarrant County, Texas
--
--
82 Tillamook County, Oregon
--
--
82 Walworth County, South Dakota
--
--
82 Westmoreland County, Pennsylvania
--
--
82 Wyandot County, Ohio
--
--
82 Yamhill County, Oregon
--
--
82 Yellowstone National Park, Montana
--
--
82 Yolo County, California
--
--


* In an effort to better match the ASARB standards for adherents, a few religious bodies changed the way their adherents were reported in 2010, including Amish groups, Friends groups, Jewish groups, the Church of Jesus Christ of Latter-day Saints, Non-denominational Christian Churches, and the United Methodist Church. This change does not affect any of the data in the newly released 2010 U.S. Religion Census: Religious Congregations & Membership Study. In fact, the data for these groups are now more comparable to that of other bodies than it was in previous decadal reports.

However, the change in methodology can distort assessments on growth or decline between 2000 and 2010 for each of these groups. County-level 2000 data using the new methodology are not readily available. ASARB staff has adjusted some 2000 county-level adherent statistics to allow for a more accurate picture on growth or decline. The revised maps and charts are now available on-line at www.usreligioncensus.org for those who are interested in these trends.

Source

2010 data were collected by the Association of Statisticians of American Religious Bodies (ASARB) and include statistics for 236 religious groups, providing information on the number of their congregations and adherents within each state and county in the United States. Clifford Grammich, Kirk Hadaway, Richard Houseal, Dale E. Jones, Alexei Krindatch, Richie Stanley and Richard H. Taylor supervised the collection. These data originally appeared in 2010 U.S. Religion Census: Religious Congregations & Membership Study, published by the Association of Statisticians of American Religious Bodies (ASARB). [More information on the data collection]