Sectors in McCook Field, Dayton, Ohio (Neighborhood)

Workers by Sector#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Dayton and McCook Field
McCook Field
Dayton
0%20%40%60%CountPrivateLocal GovernmentSole Proprietor1Federal GovernmentSelf-Employed2Non-ProfitState GovernmentUnpaid Family76.253364%68.726477%76.253364%76.3%1948.660196%8.260350%8.660196%8.7%228.636323%4.055081%8.636323%8.6%21224.102312%3.579184%4.102312%4.1%102.248643%1.415026%2.248643%2.2%560.093653%11.794296%0.093653%0.1%00.005509%2.021207%0.005509%0.0%00.000000%0.000000%0.0%0.148379%0

Relative Workers by Sector#2

Percentage more or less common in McCook Field than in Dayton, among the civilian employed population aged 16 and older.
Scope: population of Dayton and McCook Field
Less Common
More Common
100%0%100%%ref.Sole Proprietor1Self-Employed2Federal GovernmentPrivateLocal GovernmentNon-ProfitState GovernmentUnpaid Family112.975357%112.975357%113.0%8.636%8.64%4.055%4.06%58.911739%58.911739%58.9%2.249%2.25%1.415%1.42%14.615846%14.615846%14.6%4.102%4.10%3.579%3.58%10.951948%10.951948%11.0%76.253%76.3%68.726%68.7%4.840539%4.840539%4.8%8.660%8.66%8.260%8.26%-99.205943%-99.205943%99.2%0.094%0.09%11.794%11.8%-99.727439%-99.727439%99.7%0.006%0.01%2.021%2.02%-100.000000%-100.000000%100.0%0.000%0%0.148%0.15%

Part Timers by Sector#3

Part time and seasonal workers as a percentage of total workforce within a sector.
Scope: population of Dayton and McCook Field
McCook Field
Dayton
0%50%100%PartFullState GovernmentSole Proprietor1Federal GovernmentPrivateAll SectorsLocal GovernmentSelf-Employed2Non-Profit100.000000%41.987466%100.000000%100.0%0052.329225%54.306113%52.329225%52.3%11121045.454545%11.627907%45.454545%45.5%455634.285729%41.170585%34.285729%34.3%666712712832.575775%40.326433%32.575775%32.6%82831711720.487701%28.236583%0.487701%0.5%021220.000000%0.000000%0.0%39.258312%0560.000000%0.000000%0.0%47.069653%00

Median Income by Sector#4

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Dayton and McCook Field
McCook Field
Dayton
$0k$10k$20k$30k%CountAll SectorsNon-ProfitPrivate$24,141.982314$32,681.000000$24,141.982314$24.1k100.000%100%254$22,868.000000$36,255.000000$22,868.000000$22.9k0.094%0.09%0$21,811.516181$30,239.000000$21,811.516181$21.8k76.253%76.3%194

Sectors by Neighborhood in Dayton

There are 65 neighborhoods in Dayton. This section compares McCook Field to all of the neighborhoods in Dayton and to those entities that contain or substantially overlap with McCook Field.

Private Sector by Neighborhood#5

Percentage of the civilian employed population aged 16 and older.
Scope: population of McCook Field, selected other neighborhoods in Dayton, and entities that contain McCook Field
0%20%40%60%80%Count#Kittyhawk NeighborhoodKittyhawkWest Wood NeighborhoodWest WoodWright View NeighborhoodWright ViewGreenwich Village NeighborhoodGreenwich VlgHearthstone NeighborhoodHearthstoneRiverdale NeighborhoodRiverdaleHighview Hills NeighborhoodHighview HlsStoney Ridge NeighborhoodStoney RidgeSpringfield NeighborhoodSpringfieldNorthridge Estates NeighborhoodNorthridge EstsMcCook Field NeighborhoodMcCook FieldLittle Richmond NeighborhoodLittle RichmondEastern Hills NeighborhoodEastern HillsBurkhardt NeighborhoodBurkhardtOld North Dayton NeighborhoodOld N DaytonDayton View Triangle NeighborhoodDayton Vw TrnglGermantown Meadows NeighborhoodGermantown MdwsGateway NeighborhoodGatewayLinden Heights NeighborhoodLinden HtsTwin Towers NeighborhoodTwin TowersHistoric Inner East NeighborhoodHist Inner EResidence Park NeighborhoodResidence PkCornell Heights NeighborhoodCornell HtsCollege Hill NeighborhoodCollege HillFairlane NeighborhoodFairlanePatterson Park NeighborhoodPatterson PkMount Vernon NeighborhoodMount VernonSanta Clara NeighborhoodSanta ClaraWalnut Hills NeighborhoodWalnut HillsEast North CentralShroyer Park NeighborhoodShroyer ParkOhioFairview NeighborhoodFairviewMidwestMontgomery CountyMontgomeryDaytonDayton City School DistrictDaytonUnited States of AmericaUnited StatesMiami Chapel NeighborhoodMiami ChapelDayton Metro AreaDayton AreaBelmont NeighborhoodBelmontGrafton Hill NeighborhoodGrafton HillEdgemont NeighborhoodEdgemontDowntown NeighborhoodDowntownFive Points NeighborhoodFive PointsNorthern Hills NeighborhoodN HlsPhiladelphia Woods NeighborhoodPhiladelphia WdsForest Ridge-Quail Hollow NeighborhoodFrst Rdg-Quail Holl…University Park NeighborhoodUniv PkPheasant Hill NeighborhoodPheasant Hill86.180219%86.180219%86.2%165185.610893%85.610893%85.6%1,483281.696789%81.696789%81.7%1,2361,237377.284595%77.284595%77.3%605477.261353%77.261353%77.3%798577.126100%77.126100%77.1%327328676.592798%76.592798%76.6%473474776.592798%76.592798%76.6%5859876.579960%76.579960%76.6%499500976.436896%76.436896%76.4%8808811076.253364%76.253364%76.3%1941176.134632%76.134632%76.1%2101275.924212%75.924212%75.9%1,7111,7121375.820140%75.820140%75.8%8808811475.120874%75.120874%75.1%1,4941,4951575.095368%75.095368%75.1%5905911674.918555%74.918555%74.9%1491774.621117%74.621117%74.6%2982991874.282434%74.282434%74.3%1,7891974.165637%74.165637%74.2%6036042072.887538%72.887538%72.9%7697702172.236040%72.236040%72.2%7087092272.098569%72.098569%72.1%4782372.013357%72.013357%72.0%5295302471.730578%71.730578%71.7%2892902571.552605%71.552605%71.6%5295302671.296296%71.296296%71.3%2052062771.296296%71.296296%71.3%4464472871.042909%71.042909%71.0%1,7192970.977909%70.977909%71.0%15,618,69115.6M70.887872%70.887872%70.9%9113070.762436%70.762436%70.8%3,839,3203.84M70.413513%70.413513%70.4%5575583369.717832%69.717832%69.7%22,664,11922.7M69.063959%69.063959%69.1%165,038165k68.726477%68.726477%68.7%37,98138.0k68.619618%68.619618%68.6%40,19640.2k68.253043%68.253043%68.3%101,015,409101M68.122977%68.122977%68.1%3493503768.098086%68.098086%68.1%248,827249k67.713496%67.713496%67.7%2,9672,9684263.646542%63.646542%63.6%4354661.911765%61.911765%61.9%3093105161.543492%61.543492%61.5%5475560.933333%60.933333%60.9%866059.203861%59.203861%59.2%4766156.922938%56.922938%56.9%1146254.781801%54.781801%54.8%7957966352.108665%52.108665%52.1%1,4701,4716451.261468%51.261468%51.3%76176265

Private Income by Neighborhood#13

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of McCook Field, selected other neighborhoods in Dayton, and entities that contain McCook Field
$0k$20k$40k%Count#Pheasant Hill NeighborhoodPheasant HillEast North CentralMidwestUnited States of AmericaUnited StatesOhioForest Ridge-Quail Hollow NeighborhoodFrst Rdg-Quail Holl…Dayton Metro AreaDayton AreaDeweese NeighborhoodDeweeseMontgomery CountyMontgomeryFive Oaks NeighborhoodFive OaksEdgemont NeighborhoodEdgemontCarillon NeighborhoodCarillonPatterson Park NeighborhoodPatterson PkShroyer Park NeighborhoodShroyer ParkGateway NeighborhoodGatewayBelmont NeighborhoodBelmontGrafton Hill NeighborhoodGrafton HillNorthridge Estates NeighborhoodNorthridge EstsMcPherson NeighborhoodMcPhersonHearthstone NeighborhoodHearthstoneLinden Heights NeighborhoodLinden HtsUniversity Row NeighborhoodUniv RowPrinceton Heights NeighborhoodPrinceton HtsHillcrest NeighborhoodHillcrestGermantown Meadows NeighborhoodGermantown MdwsOregon NeighborhoodOregonWebster Station NeighborhoodWebster StationDowntown NeighborhoodDowntownEastmont NeighborhoodEastmontWalnut Hills NeighborhoodWalnut HillsUniversity Park NeighborhoodUniv PkMiami Chapel NeighborhoodMiami ChapelMadden Hills NeighborhoodMadden HillsResidence Park NeighborhoodResidence PkDaytonSouth Park NeighborhoodSouth ParkMidtown NeighborhoodMidtownDayton City School DistrictDaytonMacFarlane NeighborhoodMacFarlaneWright View NeighborhoodWright ViewPineview NeighborhoodPineviewHistoric Inner East NeighborhoodHist Inner EOld North Dayton NeighborhoodOld N DaytonNorth Riverdale NeighborhoodN RiverdaleWest Wood NeighborhoodWest WoodSanta Clara NeighborhoodSanta ClaraMcCook Field NeighborhoodMcCook FieldRiverdale NeighborhoodRiverdaleOld Dayton View NeighborhoodOld Dayton VwBurkhardt NeighborhoodBurkhardtFairlane NeighborhoodFairlaneArlington Heights NeighborhoodArlington Hts$53,217.000000$53,217.000000$53.2k51.261%51.3%7617621$42,448.000000$42,448.000000$42.4k70.978%71.0%15,618,69115.6M$42,254.000000$42,254.000000$42.3k69.718%69.7%22,664,11922.7M$42,182.000000$42,182.000000$42.2k68.253%68.3%101,015,409101M$41,669.000000$41,669.000000$41.7k70.762%70.8%3,839,3203.84M$41,273.000000$41,273.000000$41.3k54.782%54.8%7957962$40,702.000000$40,702.000000$40.7k68.098%68.1%248,827249k$39,931.000000$39,931.000000$39.9k67.189%67.2%4444453$39,444.000000$39,444.000000$39.4k69.064%69.1%165,038165k$38,713.000000$38,713.000000$38.7k68.836%68.8%7954$37,875.000000$37,875.000000$37.9k61.912%61.9%3093105$37,875.000000$37,875.000000$37.9k61.912%61.9%1301316$37,365.000000$37,365.000000$37.4k71.553%71.6%5295307$36,610.890064$36,610.890064$36.6k70.888%70.9%9118$35,993.373327$35,993.373327$36.0k74.621%74.6%2982999$35,989.856434$35,989.856434$36.0k67.713%67.7%2,9672,96810$35,706.355050$35,706.355050$35.7k63.647%63.6%43511$35,695.909471$35,695.909471$35.7k76.437%76.4%88088112$35,509.000000$35,509.000000$35.5k63.258%63.3%15213$33,832.604174$33,832.604174$33.8k77.261%77.3%79814$33,750.000000$33,750.000000$33.8k74.282%74.3%1,78915$32,917.000000$32,917.000000$32.9k66.240%66.2%33233316$32,917.000000$32,917.000000$32.9k66.240%66.2%21517$32,716.290022$32,716.290022$32.7k62.393%62.4%90718$32,605.998518$32,605.998518$32.6k74.919%74.9%14919$32,287.000000$32,287.000000$32.3k61.543%61.5%32532620$32,287.000000$32,287.000000$32.3k61.543%61.5%9021$32,287.000000$32,287.000000$32.3k61.543%61.5%54722$32,071.450165$32,071.450165$32.1k61.617%61.6%70470523$31,924.927858$31,924.927858$31.9k71.043%71.0%1,71924$31,218.234352$31,218.234352$31.2k52.109%52.1%1,4701,47125$30,721.000000$30,721.000000$30.7k68.123%68.1%34935026$30,721.000000$30,721.000000$30.7k68.123%68.1%14427$30,692.890739$30,692.890739$30.7k72.236%72.2%70870928$30,239.000000$30,239.000000$30.2k68.726%68.7%37,98138.0k$30,143.000000$30,143.000000$30.1k67.765%67.8%66729$30,143.000000$30,143.000000$30.1k67.765%67.8%767730$30,140.000000$30,140.000000$30.1k68.620%68.6%40,19640.2k$29,125.000000$29,125.000000$29.1k60.933%60.9%15015133$29,028.871200$29,028.871200$29.0k81.697%81.7%1,2361,23737$28,281.000000$28,281.000000$28.3k62.942%62.9%11042$27,238.000000$27,238.000000$27.2k72.888%72.9%76977046$26,800.097139$26,800.097139$26.8k75.121%75.1%1,4941,49549$25,632.712005$25,632.712005$25.6k67.932%67.9%1,2321,23351$24,419.005494$24,419.005494$24.4k85.611%85.6%1,48353$24,074.000000$24,074.000000$24.1k71.296%71.3%44644755$21,811.516181$21,811.516181$21.8k76.253%76.3%19460$21,366.000000$21,366.000000$21.4k77.126%77.1%32732861$21,364.000000$21,364.000000$21.4k70.570%70.6%26762$20,028.483672$20,028.483672$20.0k75.820%75.8%88088163$17,208.884449$17,208.884449$17.2k71.731%71.7%28929064$14,934.000000$14,934.000000$14.9k70.805%70.8%9065

Definitions

A sector describes the organizational category of a person’s employing organization. On this page, all employed persons are categorized as working in one of the following sectors (bolded terms are used in the charts and maps on this page):

  • Private for-profit wage and salary workers:
    • Private: Employee of private company workers
    • Self-Employed: Self-employed in own incorporated business workers
  • Non-Profit: Private not-for-profit wage and salary workers
  • Local Government: Local government workers
  • State Government: State government workers
  • Federal Government: Federal government workers
  • Sole Proprietor: Self-employed in own not incorporated business workers
  • Unpaid Family: Unpaid family workers

Unlike the other geographical entities detailed on this site, neighborhoods are not recognized by the U.S. Census Bureau. To overcome this we have computed reasonable estimates of the same statistics that are presented for other the entity types. Each statistic is computed as the weighted sum or average of the census tracts or block groups that overlap the neighborhood. A weighted sum is used for counts of people or households, and a weighted average is used for statistics that are themselves some form of average, such as median household income. Census block groups are preferred when the statistic in question is available on the block group level. The weight for a given tract (or block group) is computed as the population of the census tabulation blocks that occupy the intersection between the tract and the neighborhood as a fraction of the total population of the neighborhood.

For additional information about the data presented on this site, including our sources, please see the About Page.

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