Industries in Golden Triangle, Golden Triangle, New Jersey (Neighborhood)

Industry#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Golden Triangle and Golden Triangle
Golden Triangle
Golden Triangle
0%5%10%15%20%CountHealthcare1HospitalityRetailProfessional2ManufacturingFinance & InsuranceEducationGovernment3Administrative4Other ServicesWholesalersTransportationInformationConstructionEntertainment5UtilitiesReal estateAgriculture6Oil & Gas, and MiningOil & Gas, and Mi…Management712.785757%6.331561%12.785757%12.8%27811.830010%23.199613%11.830010%11.8%25725811.162916%11.793137%11.162916%11.2%2438.832174%8.361527%8.832174%8.8%1928.751201%2.368294%8.751201%8.8%1901918.668787%8.748188%8.668787%8.7%1881897.545976%8.409860%7.545976%7.5%1646.071894%10.294828%6.071894%6.1%1324.847554%8.361527%4.847554%4.8%1051064.325980%2.271629%4.325980%4.3%943.001275%1.546641%3.001275%3.0%652.815394%0.966651%2.815394%2.8%612.472298%0.869986%2.472298%2.5%53542.214523%1.304978%2.214523%2.2%482.163951%2.513291%2.163951%2.2%471.596249%2.658289%1.596249%1.6%34350.000000%0.914059%0.914059%0.9%19200.000000%0.000000%0.000000%0.0%00.000000%0.000000%0.000000%0.0%00.000000%0.000000%0.000000%0.0%0

Relative Industry#2

Percentage more or less common in Golden Triangle than in Golden Triangle, among the civilian employed population aged 16 and older.
Scope: population of Golden Triangle and Golden Triangle
Less Common
More Common
0%100%200%%ref.Real estateManufacturingTransportationInformationHealthcare1WholesalersOther ServicesConstructionProfessional2Finance & InsuranceRetailEducationEntertainment3UtilitiesGovernment4Administrative5HospitalityInfinity%0.914%0.91%0.000%0%269.514995%269.514995%269.5%8.751%8.75%2.368%2.37%191.252484%191.252484%191.3%2.815%2.82%0.967%0.97%184.176972%184.176972%184.2%2.472%2.47%0.870%0.87%101.936881%101.936881%101.9%12.786%12.8%6.332%6.33%94.051197%94.051197%94.1%3.001%3.00%1.547%1.55%90.435173%90.435173%90.4%4.326%4.33%2.272%2.27%69.698110%69.698110%69.7%2.215%2.21%1.305%1.30%5.628719%5.628719%5.6%8.832%8.83%8.362%8.36%-0.907620%-0.907620%0.9%8.669%8.67%8.748%8.75%-5.343964%-5.343964%5.3%11.163%11.2%11.793%11.8%-10.272269%-10.272269%10.3%7.546%7.55%8.410%8.41%-13.899725%-13.899725%13.9%2.164%2.16%2.513%2.51%-39.951997%-39.951997%40.0%1.596%1.60%2.658%2.66%-41.019962%-41.019962%41.0%6.072%6.07%10.295%10.3%-42.025491%-42.025491%42.0%4.848%4.85%8.362%8.36%-49.007727%-49.007727%49.0%11.830%11.8%23.200%23.2%

Sex Ratio by Industry#3

Sex ratio by industry among the civilian employed population aged 16 and older.
Scope: population of Golden Triangle and Golden Triangle
Female Male
Golden Triangle
Golden Triangle
1x0x1xFMOther ServicesManufacturingAdministrative1Finance & InsuranceRetailHospitalityAll IndustriesProfessional2Entertainment3InformationGovernment4-1.000000x-1.000000x-1.000000x1.696579x2.357143x1.696579x1.70x343559-1.000000x-1.000000x-1.000000x1.496000x2.266667x1.496000x1.50x76114-1.000000x-1.000000x-1.000000x1.470223x1.011628x1.470223x1.47x42436263-1.000000x-2.351852x-1.000000x1.448226x1.000000x1.448226x1.45x77111112-1.000000x-1.000000x-1.000000x1.234627x1.541667x1.234627x1.23x108109134-1.000000x-1.000000x-1.000000x1.204199x1.352941x1.204199x1.20x116117140141-1.000000x-1.036417x-1.000000x1.052251x1.000000x1.052251x1.05x1,0601,0611,116-1.012555x-2.035088x-1.012555x1.01x1.000000x1.000000x1.000000x96979596-1.123108x-1.000000x-1.123108x1.12x1.000000x50.000000x1.000000x242522-1.189109x-1.000000x-1.189109x1.19x1.000000x50.000000x1.000000x292425-1.582448x-1.730769x-1.582448x1.58x1.000000x1.000000x1.000000x8151

Part Timers by Industry#4

Part time and seasonal workers as a percentage of total workforce within an industry.
Scope: population of Golden Triangle and Golden Triangle
Golden Triangle
Golden Triangle
0%50%100%PartFullEntertainment1HospitalityAdministrative2InformationOther ServicesEducationTransportationAll IndustriesRetailHealthcare3ConstructionManufacturingFinance & InsuranceReal estateUtilitiesGovernment4Professional5Wholesalers79.421238%100.000000%79.421238%79.4%3791050.015073%57.916667%50.015073%50.0%12812912812945.854574%49.710983%45.854574%45.9%48570.000000%43.898410%43.898410%43.9%23243041.236945%29.787234%41.236945%41.2%38395536.859499%10.919540%36.859499%36.9%60611031040.000000%31.338480%31.338480%31.3%194227.909679%30.401160%27.909679%27.9%6076081,56926.271225%6.967213%26.271225%26.3%636417925.242283%17.557252%25.242283%25.2%7020824.510180%33.333333%24.510180%24.5%11123619.905149%24.489796%19.905149%19.9%373815215319.028236%37.569061%19.028236%19.0%3536152153NaN%13.925733%13.925733%13.9%23170.000000%12.625942%12.625942%12.6%4308.431054%15.492958%8.431054%8.4%111216.606174%10.404624%6.606174%6.6%12131791800.000000%0.000000%0.000000%0.0%065

Median Income by Industry#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Golden Triangle and Golden Triangle
Golden Triangle
Golden Triangle
$0k$20k$40k$60k$80k%CountGovernment1Finance & InsuranceHealthcare2Professional3EducationManufacturingInformationWholesalersAll IndustriesTransportationConstructionOther ServicesRetailHospitalityAdministrative4$83,903.625626$80,417.000000$83,903.625626$83.9k6.072%6.07%132$75,744.560455$52,250.000000$75,744.560455$75.7k8.669%8.67%188189$74,276.541324$61,176.000000$74,276.541324$74.3k12.786%12.8%278$65,299.398350$61,576.000000$65,299.398350$65.3k8.832%8.83%192$63,325.256495$70,865.000000$63,325.256495$63.3k7.546%7.55%164$59,109.696601$48,902.000000$59,109.696601$59.1k8.751%8.75%190191$NaN$57,425.526940$57,425.526940$57.4k2.472%2.47%5354$NaN$55,049.107992$55,049.107992$55.0k3.001%3.00%65$54,932.068770$48,323.000000$54,932.068770$54.9k100.000%100%2,177$NaN$51,579.000000$51,579.000000$51.6k2.815%2.82%61$NaN$42,529.021415$42,529.021415$42.5k2.215%2.21%48$NaN$35,608.320620$35,608.320620$35.6k4.326%4.33%94$33,291.191753$26,537.000000$33,291.191753$33.3k11.163%11.2%243$32,470.395571$31,840.000000$32,470.395571$32.5k11.830%11.8%257258$32,128.224448$21,551.000000$32,128.224448$32.1k4.848%4.85%105106

Industries by Neighborhood in Golden Triangle

There is 1 neighborhood in Golden Triangle. This section compares Golden Triangle to all of the neighborhoods in Golden Triangle and to those entities that contain or substantially overlap with Golden Triangle.

Agriculture1 Industry by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Golden Triangle, selected other neighborhoods in Golden Triangle, and entities that contain Golden Triangle
0.0%0.5%1.0%Count#United States of AmericaUnited StatesNortheastMiddle AtlanticPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNew JerseyCamden CountyCamdenZIP Code 08002ZIP 08002Golden TriangleGolden TrnglGolden Triangle NeighborhoodGolden Trngl1.326306%1.326306%1.33%1,962,9511.96M0.610239%0.610239%0.61%165,844166k0.588237%0.588237%0.59%115,925116k0.536869%0.536869%0.54%15,54015.5k0.272150%0.272150%0.27%11,76411.8k0.163712%0.163712%0.16%4010.000000%0.000000%0.00%00.000000%0.000000%0.00%00.000000%0.000000%0.00%01

Construction Income by Neighborhood#26

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Golden Triangle, selected other neighborhoods in Golden Triangle, and entities that contain Golden Triangle
$0k$20k$40k%Count#New JerseyPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaCamden CountyCamdenNortheastMiddle AtlanticZIP Code 08002ZIP 08002Golden Triangle NeighborhoodGolden TrnglUnited States of AmericaUnited States$52,719.000000$52,719.000000$52.7k5.699%5.70%246,350246k$51,450.000000$51,450.000000$51.5k5.249%5.25%151,948152k$51,433.000000$51,433.000000$51.4k5.154%5.15%12,62512.6k$49,906.000000$49,906.000000$49.9k5.692%5.69%1,546,8151.55M$48,546.000000$48,546.000000$48.5k5.631%5.63%1,109,6811.11M$46,800.000000$46,800.000000$46.8k2.850%2.85%326$42,529.021415$42,529.021415$42.5k2.215%2.21%481$42,191.000000$42,191.000000$42.2k6.254%6.25%9,256,6379.26M

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.

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