Occupations in Deer Run, Virginia (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Montgomery County and Deer Run
Deer Run
Montgomery County
0%5%10%15%CountEducation1ManagementAdministrativeSales and RelatedFood ServiceHealthcare2ScienceComputers & MathBusiness3FacilitiesPersonal CareEntertainment4TransportationSocial ServiceFire FightingConstruction5ProductionEngineering6Health TechniciansRepair7Healthcare SupportLaw EnforcementMaterial MovingLegalFarming819.660709%13.349067%19.660709%19.7%5413.268706%9.204033%13.268706%13.3%363711.632839%11.735679%11.632839%11.6%3210.845198%9.373525%10.845198%10.8%29309.724326%8.607595%9.724326%9.7%26274.513784%3.512122%4.513784%4.5%124.150257%3.319030%4.150257%4.2%113.695850%4.475434%3.695850%3.7%102.938503%3.381249%2.938503%2.9%82.605271%4.046342%2.605271%2.6%72.393214%4.054924%2.393214%2.4%672.241745%2.025316%2.241745%2.2%62.181157%2.555246%2.181157%2.2%61.757043%1.739970%1.757043%1.8%451.696456%0.967604%1.696456%1.7%451.575280%2.535936%1.575280%1.6%41.544986%4.876636%1.544986%1.5%41.029991%2.100408%1.029991%1.0%230.757346%1.896589%0.757346%0.8%20.727052%1.900880%0.727052%0.7%20.393820%1.632697%0.393820%0.4%10.333232%0.856039%0.333232%0.3%010.333232%1.139241%0.333232%0.3%010.000000%0.000000%0.0%0.347565%00.000000%0.000000%0.0%0.366874%0

Relative Occupations#2

Percentage more or less common in Deer Run than in Montgomery County, among the civilian employed population aged 16 and older.
Scope: population of Montgomery County and Deer Run
Less Common
More Common
100%50%0%50%%ref.Fire FightingEducation1ManagementHealthcare2ScienceSales and RelatedFood ServiceEntertainment3Social ServiceAdministrativeBusiness4TransportationComputers & MathFacilitiesConstruction5Personal CareEngineering6Health TechniciansLaw EnforcementRepair7ProductionMaterial MovingHealthcare SupportLegalFarming875.325491%75.325491%75.3%1.696%1.70%0.968%0.97%47.281524%47.281524%47.3%19.661%19.7%13.349%13.3%44.161867%44.161867%44.2%13.269%13.3%9.204%9.20%28.520133%28.520133%28.5%4.514%4.51%3.512%3.51%25.044281%25.044281%25.0%4.150%4.15%3.319%3.32%15.700320%15.700320%15.7%10.845%10.8%9.374%9.37%12.973787%12.973787%13.0%9.724%9.72%8.608%8.61%10.686156%10.686156%10.7%2.242%2.24%2.025%2.03%0.981244%0.981244%1.0%1.757%1.76%1.740%1.74%-0.876306%-0.876306%0.9%11.633%11.6%11.736%11.7%-13.094132%-13.094132%13.1%2.939%2.94%3.381%3.38%-14.640018%-14.640018%14.6%2.181%2.18%2.555%2.56%-17.419196%-17.419196%17.4%3.696%3.70%4.475%4.48%-35.614164%-35.614164%35.6%2.605%2.61%4.046%4.05%-37.881717%-37.881717%37.9%1.575%1.58%2.536%2.54%-40.980046%-40.980046%41.0%2.393%2.39%4.055%4.05%-50.962333%-50.962333%51.0%1.030%1.03%2.100%2.10%-60.067976%-60.067976%60.1%0.757%0.76%1.897%1.90%-61.072782%-61.072782%61.1%0.333%0.33%0.856%0.86%-61.751791%-61.751791%61.8%0.727%0.73%1.901%1.90%-68.318603%-68.318603%68.3%1.545%1.54%4.877%4.88%-70.749604%-70.749604%70.7%0.333%0.33%1.139%1.14%-75.879169%-75.879169%75.9%0.394%0.39%1.633%1.63%-100.000000%-100.000000%100.0%0.000%0%0.348%0.35%-100.000000%-100.000000%100.0%0.000%0%0.367%0.37%

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Montgomery County and Deer Run
Female Male
Montgomery County
Deer Run
2x1x0x1x2xFMProductionEngineering1Sales and RelatedHealth TechniciansBusiness2ManagementEducation3All OccupationsHealthcare4TransportationScienceAdministrativeSocial ServiceFood Service-1.000000x-1.000000x-1.000000x2.400000x2.613672x2.400000x2.40x13-1.000000x-1.000000x-1.000000x2.400000x3.574766x2.400000x2.40x012-1.000000x-1.000000x-1.000000x1.539007x1.085442x1.539007x1.54x111218-1.000000x-2.550201x-1.000000x1.500000x1.000000x1.500000x1.50x011-1.000000x-1.000000x-1.000000x1.108696x1.277457x1.108696x1.11x344-1.000000x-1.000000x-1.000000x1.105769x1.559666x1.105769x1.11x1719-1.000000x-1.106297x-1.000000x1.086817x1.000000x1.086817x1.09x252628-1.110614x-1.000000x-1.110614x1.11x1.000000x1.149412x1.000000x145130131-1.128571x-1.842014x-1.128571x1.13x1.000000x1.000000x1.000000x6756-1.400000x-1.000000x-1.400000x1.40x1.000000x2.904918x1.000000x3423-1.914894x-1.000000x-1.914894x1.91x1.000000x1.068182x1.000000x7834-2.121951x-2.122146x-2.121951x2.12x1.000000x1.000000x1.000000x212210-2.625000x-1.749153x-2.625000x2.63x1.000000x1.000000x1.000000x341-2.867470x-1.098326x-2.867470x2.87x1.000000x1.000000x1.000000x192067

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Montgomery County and Deer Run
Deer Run
Montgomery County
0%50%100%PartFullSocial ServiceHealth TechniciansFire FightingTransportationMaterial MovingFood ServicePersonal CareAdministrativeProductionSales and RelatedAll OccupationsEducation1FacilitiesConstruction2Business3ManagementHealthcare4ScienceEntertainment5Computers & MathEngineering6Healthcare SupportLaw EnforcementRepair7100.000000%29.716400%100.000000%100.0%450100.000000%36.425339%100.000000%100.0%20100.000000%27.272727%100.000000%100.0%450100.000000%48.278757%100.000000%100.0%60100.000000%46.139360%100.000000%100.0%01091.277259%71.934197%91.277259%91.3%24283.544304%63.439153%83.544304%83.5%56179.687500%43.491773%79.687500%79.7%25266758.823529%10.602728%58.823529%58.8%231254.748603%49.897002%54.748603%54.7%16131449.681915%38.412358%49.681915%49.7%13713813940.369800%39.103182%40.369800%40.4%21223238.372093%47.613998%38.372093%38.4%23434.615385%25.972927%34.615385%34.6%122328.865979%35.025381%28.865979%28.9%25625.570776%19.673660%25.570776%25.6%92722.818792%20.342089%22.818792%22.8%2391019.708029%31.544926%19.708029%19.7%2917.567568%34.427966%17.567568%17.6%150.000000%0.000000%0.0%25.503356%0100.000000%0.000000%0.0%21.144025%0230.000000%0.000000%0.0%39.684625%010.000000%0.000000%0.0%11.027569%0010.000000%0.000000%0.0%20.993228%02

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Montgomery County and Deer Run
Deer Run
Montgomery County
$0k$50k%CountEngineering1Education2ManagementBusiness3All OccupationsHealthcare4Computers & MathSales and RelatedAdministrativeScienceFacilities$96,333.000000$74,605.000000$96,333.000000$96.3k1.030%1.03%23$92,827.000000$51,932.000000$92,827.000000$92.8k19.661%19.7%54$83,548.000000$63,976.000000$83,548.000000$83.5k13.269%13.3%3637$72,734.000000$53,986.000000$72,734.000000$72.7k2.939%2.94%8$61,517.000000$43,406.000000$61,517.000000$61.5k100.000%100%275276$60,679.000000$70,115.000000$60,679.000000$60.7k4.514%4.51%12$58,333.000000$59,017.000000$58,333.000000$58.3k3.696%3.70%10$54,667.000000$32,117.000000$54,667.000000$54.7k10.845%10.8%2930$51,250.000000$33,704.000000$51,250.000000$51.2k11.633%11.6%32$48,472.000000$44,417.000000$48,472.000000$48.5k4.150%4.15%11$24,191.000000$24,335.000000$24,191.000000$24.2k2.605%2.61%7

Occupations by Neighborhood in Montgomery County

There are 31 neighborhoods in Montgomery County. This section compares Deer Run to all of the neighborhoods in Montgomery County and to those entities that contain or substantially overlap with Deer Run.

Management Occupations by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Deer Run, selected other neighborhoods in Montgomery County, and entities that contain Deer Run
0%5%10%Count#Jefferson Forest NeighborhoodJefferson FrstPreston Forest NeighborhoodPreston FrstMurphy NeighborhoodMurphyMain/Patrick Henry NeighborhoodMain/Patrick HenryWyatt Farm NeighborhoodWyatt FarmIndian Run NeighborhoodIndian RunMount Tabor NeighborhoodMount Tabor020500Tract 020500Apperson/Dickerson NeighborhoodApperson/DickersonDeer Run NeighborhoodDeer RunWoodbine NeighborhoodWoodbineBennett Hill/Progress NeighborhoodBennett Hl/ProgressNorthend NeighborhoodNorthendKabrich Crescent NeighborhoodKabrich CrescentTom's Creek NeighborhoodTom's CreekGlade/Westover NeighborhoodGlade/WestoverLaurel Ridge NeighborhoodLaurel RidgeBrush Mountain NeighborhoodBrush MtnMcBride NeighborhoodMcBrideNorthside Park NeighborhoodNorthside PkShenandoah NeighborhoodShenandoahVirginiaDowntown East NeighborhoodDowntown EastAlleghany NeighborhoodAlleghanyMountain View NeighborhoodMountain ViewSouth AtlanticUnited States of AmericaUnited StatesSouthDistrict A-01ZIP Code 24060ZIP 24060Downtown NeighborhoodDowntownMontgomery CountyMontgomeryMontgomery County Public SchoolsMontgomery CoHethwood NeighborhoodHethwoodGrissom/Highland NeighborhoodGrissom/HighlandBlacksburg, Christiansburg, and Radford Metro AreaBlacksburgEllett/Jennelle NeighborhoodEllett/JennelleMiller Southside NeighborhoodMiller SouthsideHouston/Harrell NeighborhoodHouston/HarrellAirport Acres NeighborhoodAirport AcresFarmview/Ramble NeighborhoodFarmview/Ramble13.885505%13.885505%13.9%2122113.885505%13.885505%13.9%2223213.268706%13.268706%13.3%12313.268706%13.268706%13.3%6566413.268706%13.268706%13.3%38613.268706%13.268706%13.3%3536813.268706%13.268706%13.3%141013.268706%13.268706%13.3%43813.268706%13.268706%13.3%64513.268706%13.268706%13.3%3637713.268706%13.268706%13.3%1920912.722694%12.722694%12.7%34351112.620393%12.620393%12.6%781212.580419%12.580419%12.6%2641312.503812%12.503812%12.5%921412.503812%12.503812%12.5%49501512.503812%12.503812%12.5%16171612.503812%12.503812%12.5%121712.501333%12.501333%12.5%1411421812.423257%12.423257%12.4%402012.423257%12.423257%12.4%1411421911.730860%11.730860%11.7%473,511474k10.576096%10.576096%10.6%902110.576096%10.576096%10.6%78792210.576096%10.576096%10.6%472310.390478%10.390478%10.4%2,952,3322.95M10.035605%10.035605%10.0%14,852,82814.9M9.891059%9.891059%9.9%5,332,9125.33M9.690640%9.690640%9.7%7339.597810%9.597810%9.6%2,3849.506464%9.506464%9.5%30249.204033%9.204033%9.2%4,2909.204033%9.204033%9.2%4,2909.054488%9.054488%9.1%236237259.035865%9.035865%9.0%8687268.990211%8.990211%9.0%7,5407.401946%7.401946%7.4%68277.401946%7.401946%7.4%2627287.401946%7.401946%7.4%18297.401946%7.401946%7.4%45305.619040%5.619040%5.6%2031

Management Income by Neighborhood#31

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Deer Run, selected other neighborhoods in Montgomery County, and entities that contain Deer Run
$0k$50k$100k%Count#Ellett/Jennelle NeighborhoodEllett/JennelleHouston/Harrell NeighborhoodHouston/HarrellAirport Acres NeighborhoodAirport AcresFarmview/Ramble NeighborhoodFarmview/RambleMiller Southside NeighborhoodMiller SouthsideDistrict A-01Downtown NeighborhoodDowntownTom's Creek NeighborhoodTom's CreekGlade/Westover NeighborhoodGlade/WestoverBrush Mountain NeighborhoodBrush MtnLaurel Ridge NeighborhoodLaurel RidgeMcBride NeighborhoodMcBrideNorthend NeighborhoodNorthendGrissom/Highland NeighborhoodGrissom/HighlandDowntown East NeighborhoodDowntown EastAlleghany NeighborhoodAlleghanyMountain View NeighborhoodMountain ViewBennett Hill/Progress NeighborhoodBennett Hl/ProgressVirginia020500Tract 020500Main/Patrick Henry NeighborhoodMain/Patrick HenryApperson/Dickerson NeighborhoodApperson/DickersonWyatt Farm NeighborhoodWyatt FarmDeer Run NeighborhoodDeer RunIndian Run NeighborhoodIndian RunWoodbine NeighborhoodWoodbineMount Tabor NeighborhoodMount TaborMurphy NeighborhoodMurphyPreston Forest NeighborhoodPreston FrstJefferson Forest NeighborhoodJefferson FrstZIP Code 24060ZIP 24060Hethwood NeighborhoodHethwoodUnited States of AmericaUnited StatesSouth AtlanticSouthKabrich Crescent NeighborhoodKabrich CrescentMontgomery CountyMontgomeryMontgomery County Public SchoolsMontgomery CoBlacksburg, Christiansburg, and Radford Metro AreaBlacksburgShenandoah NeighborhoodShenandoahNorthside Park NeighborhoodNorthside Pk$105,863.000000$105,863.000000$105.9k7.402%7.40%681$105,863.000000$105,863.000000$105.9k7.402%7.40%182$105,863.000000$105,863.000000$105.9k7.402%7.40%453$105,863.000000$105,863.000000$105.9k5.619%5.62%204$105,863.000000$105,863.000000$105.9k7.402%7.40%26275$105,089.000000$105,089.000000$105.1k9.691%9.69%733$101,790.194234$101,790.194234$101.8k9.506%9.51%306$100,144.000000$100,144.000000$100.1k12.504%12.5%927$100,144.000000$100,144.000000$100.1k12.504%12.5%49508$100,144.000000$100,144.000000$100.1k12.504%12.5%129$100,144.000000$100,144.000000$100.1k12.504%12.5%161710$98,540.014187$98,540.014187$98.5k12.501%12.5%14114211$97,628.838517$97,628.838517$97.6k12.620%12.6%7812$96,329.542309$96,329.542309$96.3k9.036%9.04%868713$87,083.000000$87,083.000000$87.1k10.576%10.6%9014$87,083.000000$87,083.000000$87.1k10.576%10.6%787915$87,083.000000$87,083.000000$87.1k10.576%10.6%4716$85,206.973799$85,206.973799$85.2k12.723%12.7%343517$84,762.000000$84,762.000000$84.8k11.731%11.7%473,511474k$83,548.000000$83,548.000000$83.5k13.269%13.3%438$83,548.000000$83,548.000000$83.5k13.269%13.3%656618$83,548.000000$83,548.000000$83.5k13.269%13.3%6419$83,548.000000$83,548.000000$83.5k13.269%13.3%3820$83,548.000000$83,548.000000$83.5k13.269%13.3%363721$83,548.000000$83,548.000000$83.5k13.269%13.3%353622$83,548.000000$83,548.000000$83.5k13.269%13.3%192023$83,548.000000$83,548.000000$83.5k13.269%13.3%1424$83,548.000000$83,548.000000$83.5k13.269%13.3%1225$80,114.000000$80,114.000000$80.1k13.886%13.9%222326$80,114.000000$80,114.000000$80.1k13.886%13.9%212227$74,549.000000$74,549.000000$74.5k9.598%9.60%2,384$72,982.170237$72,982.170237$73.0k9.054%9.05%23623728$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$71,343.000000$71,343.000000$71.3k10.390%10.4%2,952,3322.95M$69,211.000000$69,211.000000$69.2k9.891%9.89%5,332,9125.33M$68,133.637095$68,133.637095$68.1k12.580%12.6%26429$63,976.000000$63,976.000000$64.0k9.204%9.20%4,290$63,976.000000$63,976.000000$64.0k9.204%9.20%4,290$58,996.000000$58,996.000000$59.0k8.990%8.99%7,540$55,882.000000$55,882.000000$55.9k12.423%12.4%14114230$55,882.000000$55,882.000000$55.9k12.423%12.4%4031

Definitions

An occupation describes the kind of work a person does on the job. On this page, all employed persons are categorized into one of the following occupations (bolded terms are used in the charts and maps on this page):

  • Management, business, science, and arts occupations:
    • Management, business, and financial occupations:
      • Management: Management occupations
      • Business: Business and financial operations occupations
    • Computer, engineering, and science occupations:
      • Computers & Math: Computer and mathematical occupations
      • Engineering: Architecture and engineering occupations
      • Science: Life, physical, and social science occupations
    • Education, legal, community service, arts, and media occupations:
      • Social Service: Community and social service occupations
      • Legal: Legal occupations
      • Education: Education, training, and library occupations
      • Entertainment: Arts, design, entertainment, sports, and media occupations
    • Healthcare practitioners and technical occupations:
      • Healthcare: Health diagnosing and treating practitioners and other technical occupations
      • Health Technicians: Health technologists and technicians
  • Service occupations:
    • Healthcare Support: Healthcare support occupations
    • Protective service occupations:
      • Fire Fighting: Fire fighting and prevention, and other protective service workers including supervisors
      • Law Enforcement: Law enforcement workers including supervisors
    • Food Service: Food preparation and serving related occupations
    • Facilities: Building and grounds cleaning and maintenance occupations
    • Personal Care: Personal care and service occupations
  • Sales and office occupations:
    • Sales and Related: Sales and related occupations
    • Administrative: Office and administrative support occupations
  • Natural resources, construction, and maintenance occupations:
    • Farming: Farming, fishing, and forestry occupations
    • Construction: Construction and extraction occupations
    • Repair: Installation, maintenance, and repair occupations
  • Production, transportation, and material moving occupations:
    • Production: Production occupations
    • Transportation: Transportation occupations
    • Material Moving: Material moving occupations

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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