Zip Codes with the Highest Percentage of Population Employed in Public Administration in Maryland

RELATED REPORTS & OPTIONS

Public Administration
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Maryland
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Percentage of Population Employed in Public Administration in Maryland

0.0%
100.0%
Zip Codes with the Highest Percentage of Population Employed in Public Administration in Maryland Map

Zip Codes with the Highest Percentage of Population Employed in Public Administration in Maryland

Zip Code % Employed vs State vs National
1. 21010 100.0% 11.0% (+89.0)#1 4.7% (+95.3)#8
2. 21077 48.4% 11.0% (+37.4)#2 4.7% (+43.7)#122
3. 20630 46.2% 11.0% (+35.2)#3 4.7% (+41.5)#129
4. 20667 44.7% 11.0% (+33.7)#4 4.7% (+40.0)#141
5. 20656 43.5% 11.0% (+32.5)#5 4.7% (+38.8)#153
6. 20690 38.4% 11.0% (+27.4)#6 4.7% (+33.7)#206
7. 20762 38.3% 11.0% (+27.3)#7 4.7% (+33.7)#207
8. 20620 37.2% 11.0% (+26.2)#8 4.7% (+32.6)#218
9. 21626 33.3% 11.0% (+22.3)#9 4.7% (+28.6)#266
10. 20755 32.4% 11.0% (+21.4)#10 4.7% (+27.7)#287
11. 20628 32.1% 11.0% (+21.1)#11 4.7% (+27.4)#295
12. 21005 32.0% 11.0% (+21.0)#12 4.7% (+27.3)#296
13. 21672 32.0% 11.0% (+21.0)#13 4.7% (+27.3)#299
14. 20701 31.6% 11.0% (+20.6)#14 4.7% (+26.9)#307
15. 20617 30.3% 11.0% (+19.3)#15 4.7% (+25.6)#345
16. 20684 30.0% 11.0% (+19.0)#16 4.7% (+25.3)#355
17. 20632 28.9% 11.0% (+17.9)#17 4.7% (+24.3)#376
18. 20623 28.3% 11.0% (+17.3)#18 4.7% (+23.7)#393
19. 20625 26.9% 11.0% (+15.9)#19 4.7% (+22.2)#443
20. 21766 26.6% 11.0% (+15.6)#20 4.7% (+22.0)#453
21. 20603 24.3% 11.0% (+13.3)#21 4.7% (+19.6)#550
22. 21865 24.2% 11.0% (+13.2)#22 4.7% (+19.6)#552
23. 20613 24.2% 11.0% (+13.2)#23 4.7% (+19.5)#553
24. 20616 23.7% 11.0% (+12.7)#24 4.7% (+19.0)#587
25. 20695 23.5% 11.0% (+12.5)#25 4.7% (+18.8)#598
26. 20645 23.5% 11.0% (+12.5)#26 4.7% (+18.8)#600
27. 20619 23.1% 11.0% (+12.1)#27 4.7% (+18.4)#627
28. 20692 22.8% 11.0% (+11.8)#28 4.7% (+18.1)#641
29. 20735 22.7% 11.0% (+11.7)#29 4.7% (+18.1)#644
30. 20772 22.3% 11.0% (+11.3)#30 4.7% (+17.6)#671
31. 20602 21.3% 11.0% (+10.3)#31 4.7% (+16.6)#739
32. 20640 21.2% 11.0% (+10.2)#32 4.7% (+16.5)#746
33. 20754 21.1% 11.0% (+10.1)#33 4.7% (+16.4)#755
34. 20664 20.5% 11.0% (+9.48)#34 4.7% (+15.8)#806
35. 20774 20.5% 11.0% (+9.47)#35 4.7% (+15.8)#808
36. 20650 20.4% 11.0% (+9.41)#36 4.7% (+15.7)#815
37. 20634 20.1% 11.0% (+9.12)#37 4.7% (+15.4)#841
38. 20676 20.0% 11.0% (+9.01)#38 4.7% (+15.3)#844
39. 21113 20.0% 11.0% (+8.97)#39 4.7% (+15.3)#859
40. 20675 19.6% 11.0% (+8.60)#40 4.7% (+14.9)#897
41. 21054 19.6% 11.0% (+8.55)#41 4.7% (+14.9)#900
42. 20658 19.3% 11.0% (+8.34)#42 4.7% (+14.7)#919
43. 20653 19.3% 11.0% (+8.34)#43 4.7% (+14.7)#920
44. 20601 19.0% 11.0% (+8.04)#44 4.7% (+14.4)#955
45. 20720 19.0% 11.0% (+7.95)#45 4.7% (+14.3)#970
46. 21076 18.9% 11.0% (+7.92)#46 4.7% (+14.2)#971
47. 20639 18.8% 11.0% (+7.81)#47 4.7% (+14.1)#984
48. 21132 18.7% 11.0% (+7.68)#48 4.7% (+14.0)#1,002
49. 20716 18.6% 11.0% (+7.61)#49 4.7% (+13.9)#1,008
50. 20833 18.6% 11.0% (+7.58)#50 4.7% (+13.9)#1,015
51. 20607 18.5% 11.0% (+7.51)#51 4.7% (+13.8)#1,027
52. 21918 18.5% 11.0% (+7.49)#52 4.7% (+13.8)#1,029
53. 20629 18.5% 11.0% (+7.46)#53 4.7% (+13.8)#1,031
54. 21840 18.0% 11.0% (+6.98)#54 4.7% (+13.3)#1,092
55. 20736 17.9% 11.0% (+6.89)#55 4.7% (+13.2)#1,105
56. 20636 17.7% 11.0% (+6.68)#56 4.7% (+13.0)#1,122
57. 20715 17.5% 11.0% (+6.46)#57 4.7% (+12.8)#1,161
58. 20646 17.4% 11.0% (+6.43)#58 4.7% (+12.7)#1,166
59. 20842 17.3% 11.0% (+6.31)#59 4.7% (+12.6)#1,189
60. 21029 17.3% 11.0% (+6.30)#60 4.7% (+12.6)#1,193
61. 20746 17.2% 11.0% (+6.22)#61 4.7% (+12.5)#1,207
62. 20659 17.2% 11.0% (+6.16)#62 4.7% (+12.5)#1,214
63. 20814 17.2% 11.0% (+6.16)#63 4.7% (+12.5)#1,215
64. 20693 16.8% 11.0% (+5.82)#64 4.7% (+12.1)#1,253
65. 21750 16.7% 11.0% (+5.75)#65 4.7% (+12.1)#1,267
66. 21108 16.6% 11.0% (+5.60)#66 4.7% (+11.9)#1,306
67. 20609 16.6% 11.0% (+5.57)#67 4.7% (+11.9)#1,313
68. 20714 16.5% 11.0% (+5.49)#68 4.7% (+11.8)#1,329
69. 21722 16.5% 11.0% (+5.49)#69 4.7% (+11.8)#1,330
70. 20678 16.5% 11.0% (+5.47)#70 4.7% (+11.8)#1,335
71. 20721 16.4% 11.0% (+5.41)#71 4.7% (+11.7)#1,341
72. 20744 16.4% 11.0% (+5.39)#72 4.7% (+11.7)#1,343
73. 21144 16.3% 11.0% (+5.31)#73 4.7% (+11.6)#1,356
74. 20778 16.2% 11.0% (+5.23)#74 4.7% (+11.5)#1,370
75. 20733 16.2% 11.0% (+5.22)#75 4.7% (+11.5)#1,375
76. 20777 16.2% 11.0% (+5.15)#76 4.7% (+11.5)#1,393
77. 20794 16.0% 11.0% (+4.96)#77 4.7% (+11.3)#1,432
78. 21654 15.8% 11.0% (+4.77)#78 4.7% (+11.1)#1,471
79. 20637 15.7% 11.0% (+4.65)#79 4.7% (+11.0)#1,494
80. 20662 15.6% 11.0% (+4.59)#80 4.7% (+10.9)#1,510
81. 20748 15.4% 11.0% (+4.41)#81 4.7% (+10.7)#1,546
82. 20910 15.4% 11.0% (+4.39)#82 4.7% (+10.7)#1,549
83. 20895 15.2% 11.0% (+4.24)#83 4.7% (+10.6)#1,582
84. 21778 15.2% 11.0% (+4.17)#84 4.7% (+10.5)#1,596
85. 21015 15.2% 11.0% (+4.17)#85 4.7% (+10.5)#1,598
86. 20854 15.2% 11.0% (+4.16)#86 4.7% (+10.5)#1,603
87. 20743 15.1% 11.0% (+4.13)#87 4.7% (+10.4)#1,607
88. 20687 15.1% 11.0% (+4.07)#88 4.7% (+10.4)#1,624
89. 21652 14.8% 11.0% (+3.81)#89 4.7% (+10.1)#1,685
90. 20689 14.8% 11.0% (+3.81)#90 4.7% (+10.1)#1,689
91. 20850 14.8% 11.0% (+3.77)#91 4.7% (+10.1)#1,702
92. 21756 14.8% 11.0% (+3.76)#92 4.7% (+10.1)#1,707
93. 20611 14.8% 11.0% (+3.75)#93 4.7% (+10.1)#1,710
94. 21114 14.7% 11.0% (+3.67)#94 4.7% (+9.99)#1,733
95. 21714 14.5% 11.0% (+3.52)#95 4.7% (+9.83)#1,775
96. 20880 14.3% 11.0% (+3.29)#96 4.7% (+9.60)#1,840
97. 20657 14.3% 11.0% (+3.25)#97 4.7% (+9.57)#1,863
98. 20817 14.1% 11.0% (+3.13)#98 4.7% (+9.45)#1,883
99. 21078 14.1% 11.0% (+3.06)#99 4.7% (+9.37)#1,904
100. 20815 14.1% 11.0% (+3.06)#100 4.7% (+9.37)#1,905

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Public Administration in Maryland?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Public Administration in Maryland are:
#1
100.0%
#2
48.4%
#3
46.2%
#4
44.7%
#5
43.5%
#6
38.4%
#7
38.3%
#8
37.2%
#9
33.3%
#10
32.4%
What zip code has the Highest Percentage of Population Employed in Public Administration in Maryland?
21010 has the Highest Percentage of Population Employed in Public Administration in Maryland with 100.0%.
What is the Percentage of Population Employed in Public Administration in the State of Maryland?
Percentage of Population Employed in Public Administration in Maryland is 11.0%.
What is the Percentage of Population Employed in Public Administration in the United States?
Percentage of Population Employed in Public Administration in the United States is 4.7%.