Industries in Philadelphia Woods, Dayton, Ohio (Neighborhood)

Industry#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Dayton and Philadelphia Woods
Philadelphia Woods
Dayton
0%5%10%15%20%CountHealthcare1RetailGovernment2ManufacturingAdministrative3Real estateFinance & InsuranceAgriculture4ConstructionOther ServicesEntertainment5EducationInformationHospitalityTransportationProfessional6UtilitiesWholesalersOil & Gas, and MiningOil & Gas, and Mi…Management723.035855%17.132310%23.035855%23.0%4614.113761%11.132021%14.113761%14.1%2811.404043%5.015924%11.404043%11.4%22239.815852%12.831138%9.815852%9.8%19205.986035%5.073827%5.986035%6.0%125.290174%1.170744%5.290174%5.3%10115.023914%2.453677%5.023914%5.0%104.939527%0.030761%4.939527%4.9%9103.467018%4.293935%3.467018%3.5%673.043595%4.626882%3.043595%3.0%62.790437%2.473581%2.790437%2.8%562.783173%10.160321%2.783173%2.8%562.469255%1.818544%2.469255%2.5%452.183850%11.470397%2.183850%2.2%41.469727%4.056891%1.469727%1.5%231.427229%4.480313%1.427229%1.4%230.429669%0.528373%0.429669%0.4%010.326885%1.203315%0.326885%0.3%010.000000%0.000000%0.0%0.023523%00.000000%0.000000%0.0%0.023523%0
Count number of people employed in given industry
1Healthcare and social assistance 2Government not otherwise classified 3Administrative, support, and waste management services 4Agriculture, forestry, fishing, and hunting 5Entertainment, arts, and recreation 6Professional, scientific, and technical services 7Management of companies

Relative Industry#2

Percentage more or less common in Philadelphia Woods than in Dayton, among the civilian employed population aged 16 and older.
Scope: population of Dayton and Philadelphia Woods
Less Common
More Common
0k%5k%10k%15k%%ref.Agriculture1Real estateGovernment2Finance & InsuranceInformationHealthcare3RetailAdministrative4Entertainment5UtilitiesConstructionManufacturingOther ServicesTransportationProfessional6EducationWholesalersHospitalityOil & Gas, and MiningOil & Gas, and Mi…Management715,957.532192%15,957.532192%16.0k%4.940%4.94%0.031%0.03%351.864244%351.864244%0.4k%5.290%5.29%1.171%1.17%127.356799%127.356799%0.1k%11.404%11.4%5.016%5.02%104.750412%104.750412%0.1k%5.024%5.02%2.454%2.45%35.781989%35.781989%0.0k%2.469%2.47%1.819%1.82%34.458543%34.458543%0.0k%23.036%23.0%17.132%17.1%26.785258%26.785258%0.0k%14.114%14.1%11.132%11.1%17.978688%17.978688%0.0k%5.986%5.99%5.074%5.07%12.809590%12.809590%0.0k%2.790%2.79%2.474%2.47%-18.680761%-18.680761%0.0k%0.430%0.43%0.528%0.53%-19.257775%-19.257775%0.0k%3.467%3.47%4.294%4.29%-23.499756%-23.499756%0.0k%9.816%9.82%12.831%12.8%-34.219302%-34.219302%0.0k%3.044%3.04%4.627%4.63%-63.772079%-63.772079%0.1k%1.470%1.47%4.057%4.06%-68.144439%-68.144439%0.1k%1.427%1.43%4.480%4.48%-72.607427%-72.607427%0.1k%2.783%2.78%10.160%10.2%-72.834629%-72.834629%0.1k%0.327%0.33%1.203%1.20%-80.960986%-80.960986%0.1k%2.184%2.18%11.470%11.5%-100.000000%-100.000000%0.1k%0.000%0%0.024%0.02%-100.000000%-100.000000%0.1k%0.000%0%0.024%0.02%
% percentage of industry in Philadelphia Woods
ref. percentage of industry in Dayton
1Agriculture, forestry, fishing, and hunting 2Government not otherwise classified 3Healthcare and social assistance 4Administrative, support, and waste management services 5Entertainment, arts, and recreation 6Professional, scientific, and technical services 7Management of companies

Sex Ratio by Industry#3

Sex ratio by industry among the civilian employed population aged 16 and older.
Scope: population of Dayton and Philadelphia Woods
Female Male
Dayton
Philadelphia Woods
2x1x0x1x2xFMProfessional1Entertainment2InformationTransportationAdministrative3RetailOther ServicesAgriculture4All IndustriesHealthcare5Government6-1.000000x-1.000000x-1.000000x2.872350x1.248865x2.872350x2.87x012-1.000000x-1.000000x-1.000000x2.658478x1.208401x2.658478x2.66x124-1.000000x-1.000000x-1.000000x2.139035x1.238307x2.139035x2.14x123-1.000000x-1.000000x-1.000000x2.112726x2.982238x2.112726x2.11x012-1.000000x-1.000000x-1.000000x1.770589x1.472663x1.770589x1.77x478-1.000000x-1.085424x-1.000000x1.426865x1.000000x1.426865x1.43x11121617-1.000000x-1.055466x-1.000000x1.140974x1.000000x1.140974x1.14x233-1.000027x-1.000000x-1.000027x1.00x1.000000x50.000000x1.000000x4545-1.030076x-1.091274x-1.030076x1.03x1.000000x1.000000x1.000000x1011029899-1.175848x-4.866171x-1.175848x1.18x1.000000x1.000000x1.000000x242521-2.388763x-1.000000x-2.388763x2.39x1.000000x1.499549x1.000000x1667
F number of females employed in given industry
M number of males employed in given industry
1Professional, scientific, and technical services 2Entertainment, arts, and recreation 3Administrative, support, and waste management services 4Agriculture, forestry, fishing, and hunting 5Healthcare and social assistance 6Government not otherwise classified

Part Timers by Industry#4

Part time and seasonal workers as a percentage of total workforce within an industry.
Scope: population of Dayton and Philadelphia Woods
Philadelphia Woods
Dayton
0%20%40%60%80%PartFullEntertainment1InformationAdministrative2HospitalityReal estateFinance & InsuranceConstructionOther ServicesHealthcare3Professional4All IndustriesRetailManufacturingEducationAgriculture5WholesalersTransportationUtilitiesGovernment698.484294%63.057791%98.484294%98.5%56088.254692%27.263682%88.254692%88.3%40174.519700%49.144080%74.519700%74.5%89365.636665%65.625493%65.636665%65.6%231254.236177%48.068006%54.236177%54.2%564551.329692%14.380531%51.329692%51.3%54548.168164%41.930046%48.168164%48.2%33445.514371%52.131404%45.514371%45.5%23331.739347%36.005492%31.739347%31.7%1415313230.528459%30.371567%30.528459%30.5%011229.280208%40.326433%29.280208%29.3%585914114212.564035%45.627438%12.564035%12.6%3424253.631726%26.033000%3.631726%3.6%0118192.822228%53.161175%2.822228%2.8%050.000000%0.000000%0.0%47.058824%09100.000000%0.000000%0.0%21.052632%0010.000000%0.000000%0.0%24.085638%0230.000000%0.000000%0.0%10.958904%0010.000000%0.000000%0.0%9.199134%02223
Part number of part time workers employed in given industry
Full number of full time workers employed in given industry
1Entertainment, arts, and recreation 2Administrative, support, and waste management services 3Healthcare and social assistance 4Professional, scientific, and technical services 5Agriculture, forestry, fishing, and hunting 6Government not otherwise classified 7Management of companies

Median Income by Industry#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Dayton and Philadelphia Woods
Philadelphia Woods
Dayton
$0k$50k$100k%CountFinance & InsuranceGovernment1ManufacturingEducationOther ServicesProfessional2All IndustriesInformationRetailTransportationHealthcare3$107,738.000000$38,580.000000$107,738.000000$107.7k5.024%5.02%10$44,967.677227$57,708.000000$44,967.677227$45.0k11.404%11.4%2223$41,667.662917$36,012.000000$41,667.662917$41.7k9.816%9.82%1920$39,506.203070$39,304.000000$39,506.203070$39.5k2.783%2.78%56$32,462.292803$29,329.000000$32,462.292803$32.5k3.044%3.04%6$30,909.000000$45,672.000000$30,909.000000$30.9k1.427%1.43%23$30,725.818644$32,681.000000$30,725.818644$30.7k100.000%100%200201$28,750.000000$40,597.000000$28,750.000000$28.8k2.469%2.47%45$27,630.018509$25,327.000000$27,630.018509$27.6k14.114%14.1%28$26,381.000000$40,170.000000$26,381.000000$26.4k1.470%1.47%23$25,238.133730$30,674.000000$25,238.133730$25.2k23.036%23.0%46
% percent of the workforce employed in given industry
Count number of people employed in given industry
1Government not otherwise classified 2Professional, scientific, and technical services 3Healthcare and social assistance 4Agriculture, forestry, fishing, and hunting 5Management of companies 6Administrative, support, and waste management services 7Entertainment, arts, and recreation

Industries by Neighborhood in Dayton

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

Agriculture1 Industry by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Philadelphia Woods, selected other neighborhoods in Dayton, and entities that contain Philadelphia Woods
0%1%2%3%4%Count#Philadelphia Woods NeighborhoodPhiladelphia WdsMidwestUnited States of AmericaUnited StatesEast North CentralTwin Towers NeighborhoodTwin TowersOhioNorthern Hills NeighborhoodN HlsGateway NeighborhoodGatewayDayton Metro AreaDayton AreaDayton View Triangle NeighborhoodDayton Vw TrnglFive Oaks NeighborhoodFive OaksDayton City School DistrictDaytonMontgomery CountyMontgomeryFairview NeighborhoodFairviewNorthridge Estates NeighborhoodNorthridge EstsHillcrest NeighborhoodHillcrestKittyhawk NeighborhoodKittyhawkDaytonGrafton Hill NeighborhoodGrafton HillOld North Dayton NeighborhoodOld N DaytonBelmont NeighborhoodBelmontUniversity Park NeighborhoodUniv PkWest Wood NeighborhoodWest WoodLinden Heights NeighborhoodLinden HtsWalnut Hills NeighborhoodWalnut HillsEastern Hills NeighborhoodEastern HillsNorth Riverdale NeighborhoodN RiverdaleBurkhardt NeighborhoodBurkhardtResidence Park NeighborhoodResidence PkWright View NeighborhoodWright ViewForest Ridge-Quail Hollow NeighborhoodFrst Rdg-Quail Holl…Historic Inner East NeighborhoodHist Inner EPheasant Hill NeighborhoodPheasant HillSouthern Dayton View NeighborhoodS Dayton VwGreenwich Village NeighborhoodGreenwich VlgShroyer Park NeighborhoodShroyer ParkEastmont NeighborhoodEastmontCollege Hill NeighborhoodCollege HillCornell Heights NeighborhoodCornell HtsMiami Chapel NeighborhoodMiami ChapelFairlane NeighborhoodFairlaneOregon NeighborhoodOregonMacFarlane NeighborhoodMacFarlaneMadden Hills NeighborhoodMadden HillsMcPherson NeighborhoodMcPhersonArlington Heights NeighborhoodArlington HtsFive Points NeighborhoodFive PointsWebster Station NeighborhoodWebster StationMidtown NeighborhoodMidtownStoney Ridge NeighborhoodStoney Ridge4.939527%4.939527%4.9%91011.659533%1.659533%1.7%539,487539k1.326306%1.326306%1.3%1,962,9511.96M1.125012%1.125012%1.1%247,559248k0.988875%0.988875%1.0%820.775705%0.775705%0.8%42,08742.1k0.656899%0.656899%0.7%530.373413%0.373413%0.4%140.371379%0.371379%0.4%1,3570.326975%0.326975%0.3%2350.295858%0.295858%0.3%360.259483%0.259483%0.3%1520.250247%0.250247%0.3%5980.221974%0.221974%0.2%1270.144383%0.144383%0.1%1280.041306%0.041306%0.0%0190.038950%0.038950%0.0%0100.030761%0.030761%0.0%170.020586%0.020586%0.0%0110.000147%0.000147%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%0240.000000%0.000000%0.0%0250.000000%0.000000%0.0%0260.000000%0.000000%0.0%0270.000000%0.000000%0.0%0280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0330.000000%0.000000%0.0%0370.000000%0.000000%0.0%0420.000000%0.000000%0.0%0460.000000%0.000000%0.0%0510.000000%0.000000%0.0%0550.000000%0.000000%0.0%0600.000000%0.000000%0.0%0610.000000%0.000000%0.0%0620.000000%0.000000%0.0%0630.000000%0.000000%0.0%0640.000000%0.000000%0.0%065
1Agriculture, forestry, fishing, and hunting

Manufacturing Income by Neighborhood#26

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Philadelphia Woods, selected other neighborhoods in Dayton, and entities that contain Philadelphia Woods
$0k$50k%Count#University Row NeighborhoodUniv RowPrinceton Heights NeighborhoodPrinceton HtsLakeview NeighborhoodLakeviewPineview NeighborhoodPineviewGreenwich Village NeighborhoodGreenwich VlgGermantown Meadows NeighborhoodGermantown MdwsUnited States of AmericaUnited StatesEast North CentralMidwestOhioSouth Park NeighborhoodSouth ParkMidtown NeighborhoodMidtownLinden Heights NeighborhoodLinden HtsFive Oaks NeighborhoodFive OaksWalnut Hills NeighborhoodWalnut HillsForest Ridge-Quail Hollow NeighborhoodFrst Rdg-Quail Holl…Dayton Metro AreaDayton AreaDeweese NeighborhoodDeweeseMontgomery CountyMontgomeryShroyer Park NeighborhoodShroyer ParkPatterson Park NeighborhoodPatterson PkBelmont NeighborhoodBelmontSanta Clara NeighborhoodSanta ClaraMount Vernon NeighborhoodMount VernonPhiladelphia Woods NeighborhoodPhiladelphia WdsHearthstone NeighborhoodHearthstonePheasant Hill NeighborhoodPheasant HillLittle Richmond NeighborhoodLittle RichmondGateway NeighborhoodGatewayTwin Towers NeighborhoodTwin TowersCornell Heights NeighborhoodCornell HtsCollege Hill NeighborhoodCollege HillDayton View Triangle NeighborhoodDayton Vw TrnglResidence Park NeighborhoodResidence PkWest Wood NeighborhoodWest WoodDaytonFairview NeighborhoodFairviewDayton City School DistrictDaytonWesleyan Hill NeighborhoodWesleyan HillUniversity Park NeighborhoodUniv PkNorthern Hills NeighborhoodN HlsRoosevelt NeighborhoodRooseveltOld North Dayton NeighborhoodOld N DaytonMiami Chapel NeighborhoodMiami ChapelEastern Hills NeighborhoodEastern HillsOld Dayton View NeighborhoodOld Dayton VwRiverdale NeighborhoodRiverdaleHighview Hills NeighborhoodHighview HlsStoney Ridge NeighborhoodStoney RidgeFairlane NeighborhoodFairlaneArlington Heights NeighborhoodArlington Hts$74,271.000000$74,271.000000$74.3k11.637%11.6%581$74,271.000000$74,271.000000$74.3k11.637%11.6%37382$50,917.000000$50,917.000000$50.9k11.740%11.7%62633$50,917.000000$50,917.000000$50.9k11.740%11.7%20214$49,063.000000$49,063.000000$49.1k14.883%14.9%1161175$48,137.142314$48,137.142314$48.1k19.006%19.0%37386$47,819.000000$47,819.000000$47.8k10.349%10.3%15,316,35515.3M$47,497.000000$47,497.000000$47.5k16.015%16.0%3,524,0283.52M$46,831.000000$46,831.000000$46.8k14.872%14.9%4,834,7684.83M$46,774.000000$46,774.000000$46.8k15.510%15.5%841,515842k$46,111.000000$46,111.000000$46.1k12.255%12.3%1201217$46,111.000000$46,111.000000$46.1k12.255%12.3%13148$45,353.000000$45,353.000000$45.4k9.835%9.84%2362379$45,203.000000$45,203.000000$45.2k14.497%14.5%16710$44,918.781327$44,918.781327$44.9k16.977%17.0%41041111$44,698.000000$44,698.000000$44.7k13.680%13.7%19819912$44,618.000000$44,618.000000$44.6k14.507%14.5%53,00853.0k$43,828.000000$43,828.000000$43.8k15.279%15.3%10113$43,632.000000$43,632.000000$43.6k13.377%13.4%31,96732.0k$42,619.000000$42,619.000000$42.6k10.460%10.5%13414$42,619.000000$42,619.000000$42.6k10.623%10.6%787915$41,940.485536$41,940.485536$41.9k12.903%12.9%56556616$41,731.000000$41,731.000000$41.7k9.606%9.61%6017$41,731.000000$41,731.000000$41.7k9.606%9.61%272818$41,667.662917$41,667.662917$41.7k9.816%9.82%192019$41,483.502304$41,483.502304$41.5k10.101%10.1%10420$39,479.000000$39,479.000000$39.5k9.977%9.98%14821$39,440.776772$39,440.776772$39.4k14.155%14.2%3922$39,167.861951$39,167.861951$39.2k22.597%22.6%9023$39,097.000000$39,097.000000$39.1k14.710%14.7%11912024$38,839.000000$38,839.000000$38.8k16.773%16.8%11125$38,563.474353$38,563.474353$38.6k16.764%16.8%12326$37,578.000000$37,578.000000$37.6k13.515%13.5%10627$37,232.639218$37,232.639218$37.2k12.259%12.3%12028$37,082.429109$37,082.429109$37.1k13.021%13.0%22522629$36,012.000000$36,012.000000$36.0k12.831%12.8%7,091$35,967.307376$35,967.307376$36.0k11.912%11.9%9430$35,526.000000$35,526.000000$35.5k12.568%12.6%7,362$33,269.000000$33,269.000000$33.3k16.413%16.4%8534$32,625.000000$32,625.000000$32.6k10.002%10.0%28235$31,353.097677$31,353.097677$31.4k9.985%9.99%8038$31,250.000000$31,250.000000$31.2k3.200%3.20%7842$30,541.904856$30,541.904856$30.5k11.718%11.7%23344$30,060.000000$30,060.000000$30.1k20.874%20.9%10746$28,047.045821$28,047.045821$28.0k17.505%17.5%39439550$25,625.000000$25,625.000000$25.6k15.823%15.8%596054$22,321.000000$22,321.000000$22.3k17.302%17.3%737455$21,284.000000$21,284.000000$21.3k23.961%24.0%14856$21,284.000000$21,284.000000$21.3k23.961%24.0%1857$18,750.806686$18,750.806686$18.8k14.624%14.6%5958$14,211.000000$14,211.000000$14.2k13.103%13.1%161759
% percent of the workforce employed in given industry
Count number of people employed in given industry
# rank of neighborhood out of 59 by income in given industry

Definitions

An industry describe the kind of business conducted by a person’s employing organization. On this page, all employed persons are categorized as working in one of the following industries (bolded terms are used in the charts and maps on this page):

  • Agriculture, forestry, fishing and hunting, and mining:
    • Agriculture: Agriculture, forestry, fishing and hunting
    • Oil & Gas, and Mining: Mining, quarrying, and oil and gas extraction
  • Construction: Construction
  • Manufacturing: Manufacturing
  • Wholesalers: Wholesale trade
  • Retail: Retail trade
  • Transportation and warehousing, and utilities:
    • Transportation: Transportation and warehousing
    • Utilities: Utilities
  • Information: Information
  • Finance and insurance, and real estate and rental and leasing:
    • Finance & Insurance: Finance and insurance
    • Real estate: Real estate and rental and leasing
  • Professional, scientific, and management, and administrative and waste management services:
    • Professional: Professional, scientific, and technical services
    • Management: Management of companies and enterprises
    • Administrative: Administrative and support and waste management services
  • Educational services, and health care and social assistance:
    • Education: Educational services
    • Healthcare: Health care and social assistance
  • Arts, entertainment, and recreation, and accommodation and food services:
    • Entertainment: Arts, entertainment, and recreation
    • Hospitality: Accommodation and food services
  • Other Services: Other services, except public administration
  • Government: Public administration

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.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Ohio
County:
Montgomery
Metro Area:
Dayton Area
City:
Dayton
Township:
Harrison
ZIP Codes:
45405, 45406
Unified School District:
Dayton
Congressional District:
OH-10
State Senate District:
OH-5
State House Districts:
OH-39, OH-43
Neighboring Neighborhoods:
College Hill, Fairview
Nearby Neighborhoods:
Cornell Heights, Dayton View Triangle, Greenwich Village, Hillcrest, Mount Vernon, North Riverdale, Northern Hills, Princeton Heights, Santa Clara, Wesleyan Hill