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Ohio Coal or Coke Heating House Percentage Zip Code Rank

Based on ACS 2008-2012 data*

A total of 167 results found. Show Results on Map.

RankCoal or Coke Heating House Percentage ▼Zip / Population
1.16.3%45746 / 350
2.16.0%44062 / 15,353
3.10.8%44080 / 272
4.7.4%43948 / 517
5.6.3%44046 / 2,077
6.6.3%43962 / 127
7.6.0%44491 / 3,203
8.5.7%43804 / 4,050
9.5.0%44814 / 2,703
10.4.9%43779 / 878
11.4.8%44021 / 5,959
12.4.7%44450 / 2,631
13.4.4%44627 / 7,430
14.4.2%43917 / 3,071
15.4.1%44695 / 1,684
16.3.9%44214 / 2,019
17.3.8%44606 / 7,423
18.3.8%43341 / 925
19.3.6%43930 / 779
20.3.3%44064 / 1,863
21.3.2%44099 / 2,004
22.3.0%43977 / 2,406
23.2.8%45658 / 2,164
24.2.7%45131 / 261
25.2.7%45661 / 6,813
26.2.6%44427 / 1,572
27.2.6%44032 / 1,872
28.2.6%44085 / 2,832
29.2.5%43802 / 1,041
30.2.5%44401 / 2,939
31.2.5%43932 / 926
32.2.4%44076 / 4,714
33.2.3%44084 / 3,923
34.2.1%44231 / 8,616
35.2.1%44455 / 1,902
36.2.1%43451 / 1,049
37.2.0%43773 / 3,161
38.2.0%45433 / 2,372
39.1.9%43945 / 3,120
40.1.9%44411 / 2,221
41.1.9%44003 / 4,949
42.1.7%43986 / 2,296
43.1.7%45898 / 1,150
43.1.7%45686 / 3,516
45.1.6%43938 / 5,557
46.1.6%43136 / 516
46.1.6%44048 / 2,590
48.1.6%44443 / 2,085
49.1.6%43988 / 2,532
50.1.5%44418 / 1,517
51.1.4%45645 / 2,957
52.1.3%43942 / 2,486
53.1.3%43153 / 1,043
54.1.3%44423 / 2,837
55.1.2%43777 / 4,371
55.1.2%45619 / 7,743
57.1.2%44827 / 7,279
58.1.2%45363 / 1,665
58.1.2%45634 / 2,271
60.1.2%45692 / 8,319
61.1.2%43318 / 4,317
62.1.2%45682 / 2,517
63.1.1%43144 / 419
64.1.1%44654 / 19,339
65.1.0%43718 / 3,649
66.1.0%43901 / 2,484
67.1.0%44882 / 2,850
68.0.9%44086 / 2,320
69.0.9%44044 / 15,790
70.0.9%44662 / 9,311
71.0.9%43569 / 2,925
72.0.9%44255 / 8,373
73.0.8%45656 / 6,085
74.0.8%44634 / 2,192
75.0.8%44402 / 3,166
76.0.7%43844 / 3,827
77.0.7%44432 / 13,169
77.0.7%45877 / 2,316
79.0.7%45845 / 3,042
80.0.7%44412 / 2,733
81.0.7%45638 / 21,782
82.0.6%44615 / 11,324
82.0.6%43115 / 1,614
84.0.6%45698 / 416
85.0.6%44273 / 6,471
85.0.6%45612 / 5,345
87.0.6%45644 / 4,263
87.0.6%43731 / 6,031
87.0.6%43351 / 10,374
90.0.5%44878 / 3,075
91.0.5%43532 / 4,124
92.0.5%44889 / 7,115
92.0.5%45651 / 5,671
94.0.5%45169 / 4,652
95.0.5%43973 / 2,263
95.0.5%44201 / 6,390
97.0.5%45304 / 7,591
98.0.5%45885 / 12,773
98.0.5%43906 / 8,553
100.0.4%44681 / 7,830
100.0.4%44287 / 7,648
102.0.4%44431 / 4,695
102.0.4%45764 / 8,938
104.0.4%43907 / 5,936
105.0.4%44024 / 23,503
106.0.4%43947 / 5,257
107.0.4%45640 / 16,959
108.0.4%44683 / 8,305
109.0.4%44707 / 8,883
110.0.3%43976 / 1,453
111.0.3%45769 / 6,582
112.0.3%43535 / 883
113.0.3%44429 / 2,519
114.0.3%45631 / 15,815
114.0.3%43138 / 18,741
116.0.2%43515 / 8,280
117.0.2%43078 / 20,931
117.0.2%43343 / 1,489
119.0.2%44691 / 43,057
120.0.2%45669 / 10,899
120.0.2%44906 / 16,962
120.0.2%43604 / 8,638
123.0.2%44875 / 13,911
123.0.2%44822 / 3,153
125.0.2%44667 / 14,082
126.0.2%45209 / 9,810
126.0.2%43140 / 24,185
128.0.2%45502 / 15,961
129.0.1%45843 / 3,890
129.0.1%44890 / 11,255
131.0.1%43612 / 31,067
132.0.1%44720 / 39,054
133.0.1%44212 / 43,699
133.0.1%44124 / 38,113
133.0.1%43130 / 59,904
136.0.1%44460 / 26,796
136.0.1%43616 / 20,947
136.0.1%44030 / 16,785
136.0.1%45891 / 15,432
136.0.1%44077 / 56,017
141.0.1%43302 / 54,664
141.0.1%44805 / 32,530
141.0.1%43551 / 36,721
141.0.1%45459 / 27,472
141.0.1%45701 / 33,528
141.0.1%43026 / 56,946
147.0.1%44106 / 26,768
147.0.1%45662 / 29,861
147.0.1%44840 / 3,481
147.0.1%43201 / 30,186
147.0.1%43402 / 31,372
147.0.1%44004 / 33,727
147.0.1%43065 / 39,033
154.0.1%44137 / 23,255
154.0.1%44647 / 18,815
154.0.1%43221 / 32,785
157.0.1%44203 / 41,125
157.0.1%44256 / 62,319
157.0.1%44094 / 35,309
157.0.1%43224 / 36,303
161.0.0%45601 / 57,082
161.0.0%44001 / 20,411
161.0.0%43701 / 55,815
164.0.0%45103 / 31,766
164.0.0%44883 / 29,681
166.0.0%45231 / 40,393
166.0.0%44135 / 28,024

Please note that we only rank locations with 'Coal or Coke Heating House Percentage' data. The rank above might not be a complete list. Locations without 'Coal or Coke Heating House Percentage' data are not listed.

*ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.


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