Zip Codes with the Highest Percentage of Population employed in Education & Social Services in Ohio

Ohio Report:

Percentage of Population employed in Education & Social Services

Percentage of Population employed in Education & Social Services in the United States by Zip Code

Percentage of Population employed in Education & Social Services in the United States by City

#	Zip Code	Location	City	Population	% In Social Work	National Rank
1.	45712	39.388710, -81.660088	Barlow, Ohio	199	58.88 %	#72
2.	43972	40.102594, -80.973089	Bannock, Ohio	101	57.14 %	#79
3.	45349	39.990917, -83.938169	North Hampton, Ohio	110	57.14 %	#81
4.	43467	41.250142, -83.485940	West Millgrove, Ohio	32	57.14 %	#83
5.	43210	40.001081, -83.022094	Columbus, Ohio	9,728	54.02 %	#117
6.	45674	38.883647, -82.385474	Rio Grande, Ohio	799	53.74 %	#122
7.	45384	39.708734, -83.883736	Wilberforce, Ohio	567	48.96 %	#209
8.	45701	39.311687, -82.073928	Athens, Ohio	31,225	48.65 %	#215
9.	45780	39.361630, -82.156417	The Plains, Ohio	3,276	42.27 %	#412
10.	43022	40.345039, -82.339811	Gambier, Ohio	3,257	41.99 %	#423
11.	45056	39.493598, -84.742465	Oxford, Ohio	27,628	41.72 %	#433
12.	44074	41.285269, -82.232105	Oberlin, Ohio	11,916	41.46 %	#445
13.	45314	39.750080, -83.776250	Cedarville, Ohio	5,415	40.95 %	#462
14.	43032	40.328595, -82.958098	Kilbourne, Ohio	50	38.70 %	#602
15.	45810	40.784403, -83.813269	Ada, Ohio	8,008	37.98 %	#647
16.	43928	40.009876, -80.894430	Glencoe, Ohio	100	37.50 %	#685
17.	44106	41.505181, -81.605496	Cleveland, Ohio	32,417	37.39 %	#713
18.	43023	40.089511, -82.532078	Granville, Ohio	11,269	37.38 %	#715
19.	45220	39.148783, -84.520309	Cincinnati, Ohio	14,426	36.92 %	#755
20.	43111	39.497903, -82.243558	Carbon Hill, Ohio	136	36.70 %	#774
21.	45387	39.798382, -83.891984	Yellow Springs, Ohio	5,541	36.67 %	#775
22.	44504	41.123512, -80.654651	Youngstown, Ohio	6,137	36.46 %	#798
23.	43735	39.849631, -82.122846	East Fultonham, Ohio	352	36.15 %	#842
24.	45741	39.075062, -82.247085	Langsville, Ohio	918	36.00 %	#855
25.	45766	39.325249, -82.257669	New Marshfield, Ohio	1,386	35.81 %	#877
26.	43762	40.025878, -81.741187	New Concord, Ohio	5,341	35.18 %	#944
27.	44510	41.121948, -80.674903	Youngstown, Ohio	3,076	35.05 %	#956
28.	45409	39.723758, -84.186916	Dayton, Ohio	14,431	34.69 %	#996
29.	45003	39.586583, -84.786470	College Corner, Ohio	680	34.23 %	#1,063
30.	43934	40.084213, -80.794712	Lansing, Ohio	482	34.00 %	#1,102
31.	44243	41.148084, -81.340933	Kent, Ohio	5,277	33.81 %	#1,133
32.	45716	39.463020, -82.178561	Buchtel, Ohio	321	33.57 %	#1,170
33.	45817	40.878759, -83.883975	Bluffton, Ohio	6,503	33.39 %	#1,193
34.	45776	39.181410, -82.024066	Shade, Ohio	798	33.33 %	#1,200
35.	45782	39.483918, -82.077868	Trimble, Ohio	279	33.33 %	#1,208
36.	43927	40.121549, -80.940713	Fairpoint, Ohio	44	33.33 %	#1,216
37.	44678	40.558291, -81.350190	Somerdale, Ohio	213	33.03 %	#1,280
38.	43779	39.819570, -81.427766	Sarahsville, Ohio	929	32.64 %	#1,347
39.	45696	38.610915, -82.452046	Willow Wood, Ohio	1,366	32.57 %	#1,363
40.	45207	39.141679, -84.471664	Cincinnati, Ohio	9,259	32.54 %	#1,369
41.	43547	41.492858, -83.871401	Neapolis, Ohio	159	32.50 %	#1,379
42.	44118	41.502337, -81.556571	Cleveland, Ohio	45,279	32.30 %	#1,427
43.	45710	39.208411, -82.228826	Albany, Ohio	5,026	32.24 %	#1,440
44.	43905	40.105937, -80.849674	Barton, Ohio	234	32.07 %	#1,466
45.	45685	38.931802, -82.456548	Thurman, Ohio	918	31.92 %	#1,498
46.	43402	41.417547, -83.656646	Bowling Green, Ohio	35,907	31.71 %	#1,555
47.	45433	39.822987, -84.048310	Dayton, Ohio	3,140	31.44 %	#1,627
48.	45631	38.819839, -82.261287	Gallipolis, Ohio	15,719	31.44 %	#1,628
49.	44122	41.469494, -81.512442	Beachwood, Ohio	34,883	31.25 %	#1,686
50.	45070	39.586753, -84.555759	West Elkton, Ohio	176	31.16 %	#1,701
51.	45232	39.191055, -84.509966	Cincinnati, Ohio	7,623	30.80 %	#1,810
52.	44112	41.535841, -81.574143	Cleveland, Ohio	33,222	30.73 %	#1,836
53.	45775	39.093678, -82.162025	Rutland, Ohio	1,165	30.60 %	#1,876
54.	43606	41.672009, -83.609517	Toledo, Ohio	28,417	30.29 %	#1,965
55.	45652	38.823821, -83.095018	Mc Dermott, Ohio	3,566	30.16 %	#2,020
56.	44120	41.473947, -81.579956	Cleveland, Ohio	47,349	30.14 %	#2,025
57.	45719	39.400443, -82.124978	Chauncey, Ohio	1,067	29.82 %	#2,124
58.	45698	39.276705, -82.396832	Zaleski, Ohio	251	29.78 %	#2,131
59.	43468	41.606025, -83.345929	Williston, Ohio	211	29.77 %	#2,135
60.	45732	39.523071, -82.083313	Glouster, Ohio	5,151	29.72 %	#2,148
61.	44115	41.493076, -81.671235	Cleveland, Ohio	8,186	29.47 %	#2,236
62.	45229	39.153569, -84.487573	Cincinnati, Ohio	17,912	29.44 %	#2,244
63.	43952	40.406753, -80.662777	Steubenville, Ohio	21,074	29.22 %	#2,336
64.	45504	39.944890, -83.860636	Springfield, Ohio	20,107	29.00 %	#2,437
65.	43144	39.518532, -82.167657	Murray City, Ohio	472	28.81 %	#2,523
66.	44121	41.526018, -81.530672	Cleveland, Ohio	35,185	28.73 %	#2,560
67.	43947	39.956139, -80.807586	Shadyside, Ohio	5,356	28.69 %	#2,584
68.	45769	39.109284, -82.051040	Pomeroy, Ohio	6,520	28.66 %	#2,605
69.	45773	39.453546, -81.272822	Reno, Ohio	278	28.57 %	#2,655
70.	43909	40.068145, -80.818476	Blaine, Ohio	87	28.57 %	#2,656
71.	45711	39.428432, -81.931976	Amesville, Ohio	1,123	27.93 %	#2,969
72.	45638	38.561201, -82.680194	Ironton, Ohio	22,019	27.87 %	#3,008
73.	44303	41.104468, -81.536234	Akron, Ohio	8,257	27.76 %	#3,066
74.	43540	41.695224, -83.942032	Metamora, Ohio	1,255	27.76 %	#3,067
75.	44104	41.481905, -81.628233	Cleveland, Ohio	28,904	27.69 %	#3,099
76.	43566	41.501617, -83.754503	Waterville, Ohio	6,720	27.66 %	#3,111
77.	43734	39.883550, -81.905805	Duncan Falls, Ohio	1,055	27.44 %	#3,228
78.	43214	40.051734, -83.016269	Columbus, Ohio	25,561	27.23 %	#3,373
79.	43356	40.465076, -83.032615	Waldo, Ohio	1,042	27.13 %	#3,445
80.	45778	39.353531, -81.893065	Stewart, Ohio	960	27.11 %	#3,457
81.	45168	38.849817, -83.770281	Russellville, Ohio	1,434	27.10 %	#3,462
82.	45416	39.806769, -84.254605	Dayton, Ohio	6,408	27.05 %	#3,486
83.	44697	40.612033, -81.421717	Zoar, Ohio	227	27.00 %	#3,526
84.	45112	38.796513, -84.148909	Chilo, Ohio	106	26.92 %	#3,571
85.	43560	41.700591, -83.738852	Sylvania, Ohio	28,263	26.89 %	#3,593
86.	45219	39.126792, -84.512242	Cincinnati, Ohio	17,326	26.89 %	#3,594
87.	45694	38.743875, -82.780883	Wheelersburg, Ohio	11,474	26.75 %	#3,671
88.	45406	39.784617, -84.242091	Dayton, Ohio	27,679	26.74 %	#3,679
89.	45779	38.998744, -81.967111	Syracuse, Ohio	761	26.70 %	#3,704
90.	44108	41.540560, -81.609345	Cleveland, Ohio	36,456	26.59 %	#3,782
91.	45417	39.751185, -84.248583	Dayton, Ohio	11,258	26.59 %	#3,788
92.	45415	39.835581, -84.257387	Dayton, Ohio	12,637	26.58 %	#3,789
93.	43950	40.096889, -80.924669	Saint Clairsville, Ohio	12,636	26.56 %	#3,799
94.	43914	39.768798, -80.944206	Cameron, Ohio	74	26.53 %	#3,831
95.	44128	41.439866, -81.538521	Cleveland, Ohio	33,612	26.51 %	#3,843
96.	45764	39.442499, -82.231394	Nelsonville, Ohio	9,559	26.51 %	#3,846
97.	43202	40.019812, -83.015100	Columbus, Ohio	20,052	26.49 %	#3,858
98.	45746	39.613117, -81.449218	Macksburg, Ohio	477	26.38 %	#3,940
99.	45695	39.161543, -82.372654	Wilkesville, Ohio	676	26.27 %	#4,018
100.	45408	39.737756, -84.224678	Dayton, Ohio	11,032	26.24 %	#4,034

1-100 out of 1,153 total

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% Apart./Condos
% Arabs
% Asians
% Blacks
% Bottled Gas
% Carpool to Work
% Children Under 10
% Chinese
% Coal / Coke
% College Grad.
% Construction Jobs
% Cubans
% Czechs
% Danish
% Detached
% Drive to Work
% Dutch
% Electrical
% English
% Farming Jobs
% Filipinos
% French
% French Canadians
% Fuel/Oil
% Germans
% Gov. Employees

% Greeks
% H/Income < $10k
% H/Income > $100k
% H/holds 1+ Car
% H/holds 2+ Cars
% High School Grad.
% Hispanics
% Hungarians
% In Agricultural
% In Arts
% In College
% In Construction
% In Finance
% In High School
% In IT
% In Labor Force
% In Labor Force (f)
% In Labor Force (m)
% In Manufacturing
% In Military
% In Retail Trade
% In Science
% In Social Work
% In Transportation
% Income Over $200k
% Indians (Asian)

% Irish
% Italians
% Japanese
% Korens
% Lithuanians
% Management Jobs
% Mexicans
% Natives
% No-Mortgage Prop.
% Norwegians
% Not in Labor Force
% Owner-Occupied
% Poles
% Portugese
% Poverty Level
% Poverty Level
% Production Jobs
% Properties < $200k
% Properties < $500k
% Properties > $1M
% Properties > $500k
% Pub/Transit
% Russians
% Sales Jobs
% Scotts
% Self-Employed

% Seniors Over 65
% Service Jobs
% Slovaks
% Solar Heated
% Swedes
% Swiss
% Tenant-Occupied
% Ukranians
% Unemployment Rate
% Utility Gas
% Vacant Homes
% Walk to Work
% Welsh
% West Indians
% Whites
% Wood Heated
% Work from Home
Avg. Income/H/hold
Avg. Income/Person
Avg. Population Age
Commute Time
Females / Male
Males / Female
People / Sq. Mile
Rooms / Home