CV XE GIS Home Page




  ProximityOne Home

  State & Regional Main

  Situation & Outlook

  Related Sections
  - Applications Gallery
  - States
  - School Districts
  - Metros
  - Cong. Districts
  - Counties
  - Tracts/Neighborhoods
  - Block Groups
  - Census Blocks
  - ZIP Codes
  - Urban Areas

  Estimates-Projections
  - 2060 Demographic
    ... all county interactive table
  - 2030 Demographic-Economic
  - Single Year of Age

  GIS Thematic Mapping
    Visual Analysis Tools

  Ranking Tables
    National Scope
    Demographic Change
    2000-2010
  - States
  - Metros
  - Cong. Districts
  - School Districts
  - Counties
  - Cities/Places
  - Census Tracts


 
Ohio Demographic-Economic Characteristics & Trends

ProximityOne
  information resources & solutions
  (888) DMI-SOLN
  (888) 364-7656




Visual analysis with ProximityOne tools
click graphic for info; hover to pause

 
visually analyze clients/markets
site analysis using 1 mile radius

S1

$median household income
patterns by census tract - Houston

hover to pause

113th Congressional Districts

Click for info

US Asian Indian population 2010

Click for info

geocoded students and school
McKinney ISD, TX

Click for info

geocoded students and school
with tax parcels & streets

Click for info

high school attendance zones
with schools by type

Click for info

%high school graduates by
census tract - Puerto Rico

Click for info

Austin, TX MSA counties &
places 10K+ population markers

Click for info

Appalachia counties (green) &
coalfield counties (orange)

Click for info

China provinces percent urban &
cities (markers) by state plan

Click for info

Honolulu census tracts (red)
& census blocks


Central Park area NYC

Click for info

Kansas City Metro & Counties
Home Depot locations (markers)

Click for info

World Cities; focus on Spain

Click for info


Data Analytics Blog
Power of Combining Maps with Data

Support & Technical Assistance
help using these resources

 

  Select a Different State
  ... click a link below


Use tools and data resources described here to facilitate planning and analysis. See more below about using these resources. This section is updated frequently with topics relating to Ohio demographic-economic characteristics and trends.

Updated: 08/12/16
  Recent updates:
  • 05/19/16. new: ACS 2012-2014 state & national profiles (section 4)
  • 07/22/16. new: county detailed demographic profiles; 2010-2015 (section 7)

1. Visual pattern analysis using GIS resources ... examine Ohio neighborhood/market area demographic-economic patterns. Develop collaborative insights; zoom-in to areas of interest; create alternative views; add your own data.

.. View developed with CV XE GIS software.
.. install Ohio by neighborhood GIS project; create custom maps.

2. Digital Map Database
-- point, line and area features (shapefiles) covering the U.S.

3. Situation & Outlook
.. multi-dimensional demographic-economic characteristics and trends.
.. projections to 2060 .. single year of age x gender x race/origin

4. Ohio Demographic-Economic Characteristics & Patterns
.. ACS 2012-2014 state-level characteristics
.. ACS 2012-2014 national level characteristics
.. How, where and why the population is changing.

5. Metropolitan Areas
-- interactive demographic-economic data table
-- create custom metro maps
-- create Ohio all CBSAs ACS 2014 1 year estimates dataset
    .. about this feature
-- click link in scroll section below to view Situation & Outlook Metro Report.
Akron, OH MSA (10420)
Ashland, OH MISA (11740)
Ashtabula, OH MISA (11780)
Athens, OH MISA (11900)
Bellefontaine, OH MISA (13340)
Bucyrus, OH MISA (15340)
Cambridge, OH MISA (15740)
Canton-Massillon, OH MSA (15940)
Celina, OH MISA (16380)
Chillicothe, OH MISA (17060)
Cincinnati, OH-KY-IN MSA (17140)
Cleveland-Elyria, OH MSA (17460)
Columbus, OH MSA (18140)
Coshocton, OH MISA (18740)
Dayton, OH MSA (19380)
Defiance, OH MISA (19580)
Findlay, OH MISA (22300)
Fremont, OH MISA (23380)
Greenville, OH MISA (24820)
Jackson, OH MISA (27160)
Lima, OH MSA (30620)
Mansfield, OH MSA (31900)
Marietta, OH MISA (31930)
Marion, OH MISA (32020)
Mount Vernon, OH MISA (34540)
New Philadelphia-Dover, OH MISA (35420)
Norwalk, OH MISA (35940)
Port Clinton, OH MISA (38840)
Portsmouth, OH MISA (39020)
Salem, OH MISA (41400)
Sandusky, OH MISA (41780)
Sidney, OH MISA (43380)
Springfield, OH MSA (44220)
Tiffin, OH MISA (45660)
Toledo, OH MSA (45780)
Urbana, OH MISA (46500)
Van Wert, OH MISA (46780)
Wapakoneta, OH MISA (47540)
Washington Court House, OH MISA (47920)
Wilmington, OH MISA (48940)
Wooster, OH MISA (49300)
Youngstown-Warren-Boardman, OH-PA MSA (49660)
Zanesville, OH MISA (49780)

6. Congressional Districts
-- interactive demographic-economic data tables
-- create custom Congressional District maps
-- create Ohio all congressional districts ACS 2014 1 year estimates dataset -- -- about this feature

7. Counties
-- interactive demographic-economic data tables
-- official population estimates interactive table 2010-2015
-- create Ohio all counties ACS 2014 5 year estimates dataset -- -- about this feature
-- click link following county name in scroll section below to view demographic profile.
Adams County (39001)
Allen County (39003)
Ashland County (39005)
Ashtabula County (39007)
Athens County (39009)
Auglaize County (39011)
Belmont County (39013)
Brown County (39015)
Butler County (39017)
Carroll County (39019)
Champaign County (39021)
Clark County (39023)
Clermont County (39025)
Clinton County (39027)
Columbiana County (39029)
Coshocton County (39031)
Crawford County (39033)
Cuyahoga County (39035)
Darke County (39037)
Defiance County (39039)
Delaware County (39041)
Erie County (39043)
Fairfield County (39045)
Fayette County (39047)
Franklin County (39049)
Fulton County (39051)
Gallia County (39053)
Geauga County (39055)
Greene County (39057)
Guernsey County (39059)
Hamilton County (39061)
Hancock County (39063)
Hardin County (39065)
Harrison County (39067)
Henry County (39069)
Highland County (39071)
Hocking County (39073)
Holmes County (39075)
Huron County (39077)
Jackson County (39079)
Jefferson County (39081)
Knox County (39083)
Lake County (39085)
Lawrence County (39087)
Licking County (39089)
Logan County (39091)
Lorain County (39093)
Lucas County (39095)
Madison County (39097)
Mahoning County (39099)
Marion County (39101)
Medina County (39103)
Meigs County (39105)
Mercer County (39107)
Miami County (39109)
Monroe County (39111)
Montgomery County (39113)
Morgan County (39115)
Morrow County (39117)
Muskingum County (39119)
Noble County (39121)
Ottawa County (39123)
Paulding County (39125)
Perry County (39127)
Pickaway County (39129)
Pike County (39131)
Portage County (39133)
Preble County (39135)
Putnam County (39137)
Richland County (39139)
Ross County (39141)
Sandusky County (39143)
Scioto County (39145)
Seneca County (39147)
Shelby County (39149)
Stark County (39151)
Summit County (39153)
Trumbull County (39155)
Tuscarawas County (39157)
Union County (39159)
Van Wert County (39161)
Vinton County (39163)
Warren County (39165)
Washington County (39167)
Wayne County (39169)
Williams County (39171)
Wood County (39173)
Wyandot County (39175)

8. Cities/Places
-- interactive demographic-economic data tables
-- create custom city/place maps.
-- create Ohio all places ACS 2014 5 year estimates dataset -- -- about this feature.
-- click link following city/place name in scroll section below to view demographic-economic profile
Ada (village) (3900198)
Akron (city) (3901000)
Alliance (city) (3901420)
Amherst (city) (3901798)
Apple Valley (CDP) (3902266)
Ashland (city) (3902568)
Ashtabula (city) (3902638)
Athens (city) (3902736)
Aurora (city) (3903086)
Austintown (CDP) (3903184)
Avon (city) (3903352)
Avon Lake (city) (3903464)
Barberton (city) (3903828)
Bay Village (city) (3904416)
Beachwood (city) (3904500)
Beavercreek (city) (3904720)
Beckett Ridge (CDP) (3904840)
Bedford (city) (3904878)
Bedford Heights (city) (3904920)
Bellbrook (city) (3905102)
Bellefontaine (city) (3905130)
Bellevue (city) (3905228)
Belpre (city) (3905424)
Berea (city) (3905690)
Bexley (city) (3906278)
Blacklick Estates (CDP) (3906670)
Blue Ash (city) (3907300)
Boardman (CDP) (3907454)
Bowling Green (city) (3907972)
Brecksville (city) (3908364)
Bridgetown (CDP) (3908602)
Broadview Heights (city) (3909064)
Brook Park (city) (3909288)
Brooklyn (city) (3909246)
Brookville (city) (3909358)
Brunswick (city) (3909680)
Bryan (city) (3909792)
Bucyrus (city) (3910030)
Cambridge (city) (3910996)
Campbell (city) (3911066)
Canal Fulton (city) (3911304)
Canal Winchester (city) (3911332)
Canfield (city) (3911360)
Canton (city) (3912000)
Carlisle (village) (3912168)
Celina (city) (3912868)
Centerville (city) (3913190)
Champion Heights (CDP) (3913484)
Chardon (city) (3913554)
Cheviot (city) (3914128)
Chillicothe (city) (3914184)
Cincinnati (city) (3915000)
Circleville (city) (3915070)
Clayton (city) (3915644)
Cleveland (city) (3916000)
Cleveland Heights (city) (3916014)
Clyde (city) (3916308)
Columbiana (city) (3917036)
Columbus (city) (3918000)
Conneaut (city) (3918350)
Cortland (city) (3918812)
Coshocton (city) (3918868)
Covedale (CDP) (3919008)
Cuyahoga Falls (city) (3919778)
Dayton (city) (3921000)
Deer Park (city) (3921266)
Defiance (city) (3921308)
Delaware (city) (3921434)
Delhi Hills (CDP) (3921518)
Delphos (city) (3921602)
Dent (CDP) (3921742)
Dover (city) (3922456)
Dry Run (CDP) (3922674)
Dublin (city) (3922694)
East Cleveland (city) (3923380)
East Liverpool (city) (3923730)
Eastlake (city) (3923618)
Eaton (city) (3924234)
Elyria (city) (3925256)
Englewood (city) (3925396)
Euclid (city) (3925704)
Fairborn (city) (3925914)
Fairfield (city) (3925970)
Fairlawn (city) (3926166)
Fairview Park (city) (3926446)
Findlay (city) (3927048)
Finneytown (CDP) (3927104)
Forest Park (city) (3927706)
Forestville (CDP) (3927776)
Fostoria (city) (3928014)
Franklin (city) (3928476)
Fremont (city) (3928826)
Gahanna (city) (3929106)
Galion (city) (3929162)
Garfield Heights (city) (3929428)
Geneva (city) (3929610)
Germantown (city) (3929932)
Girard (city) (3930198)
Grafton (village) (3931150)
Grandview Heights (city) (3931304)
Granville (village) (3931402)
Green (city) (3931860)
Greenville (city) (3932340)
Groesbeck (CDP) (3932536)
Grove City (city) (3932592)
Groveport (city) (3932606)
Hamilton (city) (3933012)
Harrison (city) (3933838)
Heath (city) (3934748)
Highland Heights (city) (3935252)
Hilliard (city) (3935476)
Hillsboro (city) (3935560)
Howland Center (CDP) (3936557)
Hubbard (city) (3936582)
Huber Heights (city) (3936610)
Hudson (city) (3936651)
Huron (city) (3937016)
Independence (city) (3937240)
Ironton (city) (3937464)
Jackson (city) (3937842)
Kent (city) (3939872)
Kenton (city) (3939886)
Kenwood (CDP) (3939914)
Kettering (city) (3940040)
Kirtland (city) (3940642)
Lakewood (city) (3941664)
Lancaster (city) (3941720)
Landen (CDP) (3941755)
Lebanon (city) (3942364)
Lima (city) (3943554)
Lincoln Village (CDP) (3943792)
Logan (city) (3944632)
London (city) (3944674)
Lorain (city) (3944856)
Louisville (city) (3945094)
Loveland (city) (3945108)
Lyndhurst (city) (3945556)
Macedonia (city) (3945976)
Mack (CDP) (3946088)
Madeira (city) (3946312)
Mansfield (city) (3947138)
Maple Heights (city) (3947306)
Marietta (city) (3947628)
Marion (city) (3947754)
Martins Ferry (city) (3948104)
Marysville (city) (3948160)
Mason (city) (3948188)
Massillon (city) (3948244)
Maumee (city) (3948342)
Mayfield Heights (city) (3948482)
Medina (city) (3948790)
Mentor (city) (3949056)
Mentor-on-the-Lake (city) (3949098)
Miamisburg (city) (3949434)
Middleburg Heights (city) (3949644)
Middletown (city) (3949840)
Milford (city) (3950176)
Monfort Heights (CDP) (3951212)
Monroe (city) (3951310)
Montgomery (city) (3951716)
Montrose-Ghent (CDP) (3951816)
Moraine (city) (3952010)
Mount Healthy (city) (3952752)
Mount Vernon (city) (3953102)
Napoleon (city) (3953550)
Nelsonville (city) (3953886)
New Albany (city) (3953970)
New Burlington (CDP) (3954264)
New Carlisle (city) (3954334)
New Franklin (city) (3954562)
New Philadelphia (city) (3955216)
Newark (city) (3954040)
Niles (city) (3955916)
North Canton (city) (3956294)
North College Hill (city) (3956322)
North Madison (CDP) (3956812)
North Olmsted (city) (3956882)
North Ridgeville (city) (3956966)
North Royalton (city) (3957008)
Northbrook (CDP) (3956280)
Northgate (CDP) (3956553)
Northridge (CDP) (3956938)
Northwood (city) (3957190)
Norton (city) (3957260)
Norwalk (city) (3957302)
Norwood (city) (3957386)
Oakwood (city) (3957764)
Oberlin (city) (3957834)
Olmsted Falls (city) (3958422)
Ontario (city) (3958520)
Oregon (city) (3958730)
Orrville (city) (3958828)
Oxford (city) (3959234)
Painesville (city) (3959416)
Parma (city) (3961000)
Parma Heights (city) (3961028)
Pataskala (city) (3961112)
Pepper Pike (city) (3961686)
Perry Heights (CDP) (3962134)
Perrysburg (city) (3962148)
Pickerington (city) (3962498)
Piqua (city) (3962848)
Port Clinton (city) (3964150)
Portage Lakes (CDP) (3964136)
Portsmouth (city) (3964304)
Powell (city) (3964486)
Ravenna (city) (3965592)
Reading (city) (3965732)
Reynoldsburg (city) (3966390)
Richmond Heights (city) (3966894)
Rittman (city) (3967356)
Riverside (city) (3967468)
Rocky River (city) (3968056)
Rossford (city) (3968686)
Salem (city) (3969834)
Sandusky (city) (3970380)
Seven Hills (city) (3971416)
Shaker Heights (city) (3971682)
Sharonville (city) (3971892)
Sheffield Lake (city) (3972088)
Shelby (city) (3972102)
Sidney (city) (3972424)
Solon (city) (3972928)
South Euclid (city) (3973264)
Springboro (city) (3974076)
Springdale (city) (3974104)
Springfield (city) (3974118)
St. Clairsville (city) (3969526)
St. Marys (city) (3969680)
Steubenville (city) (3974608)
Stow (city) (3974944)
Streetsboro (city) (3975014)
Strongsville (city) (3975098)
Struthers (city) (3975126)
Summerside (CDP) (3975434)
Sylvania (city) (3976022)
Tallmadge (city) (3976106)
The Village of Indian Hill (city) (3976582)
Tiffin (city) (3976778)
Tipp City (city) (3976876)
Toledo (city) (3977000)
Trenton (city) (3977322)
Trotwood (city) (3977504)
Troy (city) (3977588)
Turpin Hills (CDP) (3977840)
Twinsburg (city) (3978050)
Uhrichsville (city) (3978176)
Union (city) (3978470)
University Heights (city) (3978932)
Upper Arlington (city) (3979002)
Upper Sandusky (city) (3979044)
Urbana (city) (3979072)
Van Wert (city) (3979562)
Vandalia (city) (3979492)
Vermilion (city) (3979716)
Wadsworth (city) (3980304)
Wapakoneta (city) (3980766)
Warren (city) (3980892)
Warrensville Heights (city) (3980990)
Washington Court House (city) (3981718)
Waterville (city) (3981858)
Wauseon (city) (3981928)
Wellston (city) (3982712)
West Carrollton (city) (3983090)
Westerville (city) (3983342)
Westlake (city) (3983622)
Wheelersburg (CDP) (3984588)
White Oak (CDP) (3984812)
Whitehall (city) (3984742)
Wickliffe (city) (3985036)
Willard (city) (3985232)
Willoughby (city) (3985484)
Willoughby Hills (city) (3985512)
Willowick (city) (3985638)
Wilmington (city) (3985792)
Withamsville (CDP) (3986254)
Wooster (city) (3986548)
Worthington (city) (3986604)
Wyoming (city) (3986730)
Xenia (city) (3986772)
Youngstown (city) (3988000)
Zanesville (city) (3988084)

9. Census Tracts
-- interactive demographic-economic data tables
-- annual demographic-economic estimates & projections; 2010-2021
-- census tract data analytics
-- create Ohio all tracts ACS 2014 5 year estimates dataset -- -- about this feature

10. ZIP Code Areas
-- interactive demographic-economic data tables
-- create all U.S. ZIP Code areas ACS 2014 5 year estimates dataset -- -- about this feature

11. K-12 Education, Schools & School Districts
-- school district interactive demographic-economic data tables
-- children's demographics by school district school district profiles
-- K-12 Public Schools interactive public schools table
-- K-12 Private Schools interactive private schools table
-- create Ohio all unified school districts ACS 2014 5 year estimates dataset -- -- about this feature

12. Block Groups
-- accessing & integrating block group data using API tools

13. Census Blocks
-- accessing & integrating census block data using API tools

Using these Resources
Knowing "where we are" and "how things have changed" are key factors in knowing about the where, when and how of future change -- and how that change might impact you. There are many sources of this knowledge. Often the required data do not knit together in an ideal manner. Key data are available for different types of geography, become available at different points in time and are often not the perfect subject matter. This section is intended to provide access to relevant data and a means to consume the data more effectively than might otherwise be possible. Use data, tools and resources provided/described here in combination with other data to perform wide-ranging data analytics. See examples.

Terms of Use
Data accessible in this section may be used in reports, analyses and stories. These data may not be redistributed in bulk or as files. There is no warranty of any type associated with any aspect of this section or associated data. The user of this section and associated data is solely responsible for any use, direct or indirect, that might be made of the content.

Support Using these Resources
Learn more about demographic economic data and related analytical tools. Join us in a Data Analytics Lab session. There is no fee for these one-hour informal Web sessions. The open structure provides for Q&A and discussion of application issues of interest to participants.

ProximityOne User Group
Join the ProximityOne User Group to keep up-to-date with new developments relating to children's demographics and school district decision-making information resources. Receive updates and access to tools and resources available only to members. Use this form to join the User Group.

Additional Information
ProximityOne develops geographic-demographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data. Follow ProximityOne on Twitter at www.twitter.com/proximityone. Contact ProximityOne (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest.



Copyright © . Proximity. All Rights Reserved.
Sitemap | Contact Us | News