Employment Status in University of Maryland, Baltimore, Maryland (Neighborhood)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Baltimore and University of Maryland
University of Maryland
Baltimore
0%10%20%30%40%50%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.104826%047.123623%54.681654%47.123623%47.1%1131.591187%7.044809%1.591187%1.6%3451.285190%38.168712%51.285190%51.3%123

Employment Status By Sex#2

Percentage of male and female population aged 25 to 64 years old.
Scope: population of Baltimore and University of Maryland
University of Maryland
Baltimore
40%20%0%20%40%FMArmed ForcesEmployed1UnemployedOther2-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-44.741874%-44.741874%-44.741874%44.7%44.741874%6.618670%44.741874%6.618670%51.360544%51.4%686944-0.000000%-2.485660%-0.000000%-2.485660%-2.485660%2.5%0.000000%0.000000%0.000000%0.0%340-48.639456%-4.133011%-48.639456%-4.133011%-52.772467%52.8%48.639456%48.639456%48.639456%48.6%8142

Employment Status by Age#3

Employment status composition of the given age cohorts.
Scope: population of University of Maryland
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%33.333333%33%0.000000%66.666667%67%10.000000%0.000000%0.000000%100.000000%100%00.000000%0.000000%0.000000%0.000000%00.000000%0.000000%0.000000%0.000000%00.000000%0.000000%0.000000%0.000000%00.000000%0.000000%0.000000%100.000000%100%00.000000%61.904762%62%0.000000%38.095238%38%110.000000%81.818182%82%0.000000%18.181818%18%15160.000000%86.486486%86%0.000000%13.513514%14%90.000000%67.027027%67%0.000000%32.972973%33%36370.000000%29.032258%29%5.241935%65.725806%66%210.000000%33.898305%34%0.000000%66.101695%66%11120.000000%26.027397%26%0.000000%73.972603%74%560%20%40%60%80%100%Count

Employment by Sex and Age#4

Percentage of population employed by sex and age cohort.
Scope: population of University of Maryland
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1945.455%45.5%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%45.455%45.5%80.000%80.0%90.476%90.5%66.667%66.7%50.000%50.0%96.552%96.6%63.462%63.5%71.605%71.6%29.341%29.3%28.395%28.4%40.000%40.0%8.696%8.70%30.159%30.2%0.000%0%

Employment Sex Ratio by Age#5

Percentage more males or females employed by age cohort.
Scope: population of Baltimore and University of Maryland
More Females More Males
Baltimore
University of Maryland
1,000%500%0%500%M:FFM75+45-5435-4430-3425-2922-2420-2116-19-1,000.000000%-0.928793%-1,000.000000%> 1000%0.000010-9.962174%60.000000%60.000000%60.0%1.6001.6047-137.500000%-6.615298%-137.500000%137.5%0.4210.421145-3.505852%600.000000%600.000000%600.0%7.0007.0018-13.793103%-9.957431%-13.793103%13.8%0.8790.881917-113.043478%-33.557047%-113.043478%113.0%0.4690.471467-1,000.000000%-41.072464%-1,000.000000%> 1000%0.0530.051101-1,000.000000%-32.474409%-1,000.000000%> 1000%0.0000560

Male Employment by Age#6

Percentage of male population employed by age cohort. Gray areas represent percentile bands from the neighborhoods in Baltimore.
Scope: population of Baltimore, University of Maryland, and selected other neighborhoods in Baltimores
University of Maryland
Baltimore
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000%0%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%80.000%80.0%66.667%66.7%96.552%96.6%71.605%71.6%28.395%28.4%8.696%8.70%0.000%0%

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the neighborhoods in Baltimore.
Scope: population of Baltimore, University of Maryland, and selected other neighborhoods in Baltimores
University of Maryland
Baltimore
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1945.455%45.5%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%45.455%45.5%90.476%90.5%50.000%50.0%63.462%63.5%29.341%29.3%40.000%40.0%30.159%30.2%

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Baltimore and University of Maryland
University of Maryland
Baltimore
0%10%20%30%40%50%CountBoth Parents Work1Stay at Home Moms1Stay at Home Dads1Neither Parent WorksNeither Parent Wo…1Both Work, No Kids2Ladies Who Lunch2Gents Who Lunch2Neither Works, No KidsNeither Works, No …20.000000%0.000000%0.0%24.906150%00.000000%0.000000%0.0%6.738171%00.000000%0.000000%0.0%1.954848%00.000000%0.000000%0.0%1.067382%050.000000%31.493815%50.000000%50.0%10.000000%0.000000%0.0%10.224029%00.000000%0.000000%0.0%8.419687%050.000000%15.195917%50.000000%50.0%1

Employment among the Married Without Children#9

Selected employment arrangements as a percentage of married couples without children under 18 present in the house.
Scope: households in Baltimore and University of Maryland
University of Maryland
Baltimore
0%10%20%30%40%50%CountBoth WorkLadies Who LunchGents Who LunchNeither Work50.000000%48.204734%50.000000%50.0%10.000000%0.000000%0.0%15.648996%00.000000%0.000000%0.0%12.887253%050.000000%23.259016%50.000000%50.0%1

Employment by Educational Attainment#10

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Baltimore and University of Maryland
University of Maryland
Baltimore
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma378.947368%86.577524%78.947368%78.9%6656.000000%68.460146%56.000000%56.0%438.461538%56.874005%38.461538%38.5%230.000000%0.000000%0.0%38.528959%0

The Non-Working by Race#11

Percentage of each ethno-racial group's population 16 to 64 years of age that is either unemployed or not in the labor force.
Scope: population of Baltimore and University of Maryland
Female Male
Baltimore
University of Maryland
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%%WhiteHispanic1BlackAsianOtherMixed-46.875000%-21.233108%-25.925749%-3.155559%-68.108108%68.1%46.875000%25.925749%46.875000%46.9%58.261%58.3%-47.368421%-21.481604%-12.677323%-47.368421%47.4%47.368421%2.631579%21.481604%50.000000%50.0%48.571%48.6%-43.352601%-41.303503%-43.352601%43.4%43.352601%7.810190%41.303503%6.881957%51.162791%51.2%45.946%45.9%-23.809524%-29.451346%-27.752184%-6.990518%-53.260870%53.3%23.809524%27.752184%23.809524%23.8%47.788%47.8%-0.000000%-56.250000%-27.258738%-17.303117%-56.250000%56.3%0.000000%27.258738%0.000000%0.0%56.250%56.3%-0.000000%-54.545455%-40.410959%-2.670732%-54.545455%54.5%0.000000%40.410959%0.000000%0.0%54.545%54.5%

Unemployment by Race#12

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Baltimore and University of Maryland
Female Male
Baltimore
University of Maryland
Shaded bar tips show excess over facing bar.
5%0%5%10%%AsianWhiteHispanic1BlackMixedOther-0.000000%-6.521739%-2.287090%-6.521739%6.5%0.000000%2.287090%1.017120%0.000000%0.0%5.310%5.31%-0.000000%-3.783784%-3.666179%-3.783784%3.8%0.000000%3.666179%0.345666%0.000000%0.0%2.029%2.03%-0.000000%-4.169247%0.000000%0.0%0.000000%0.000000%4.169247%0.037980%0.000000%0.0%0.000%0%-0.000000%-9.485739%0.000000%0.0%0.000000%0.000000%9.485739%2.812061%0.000000%0.0%0.000%0%-0.000000%-6.398052%0.000000%0.0%0.000000%0.000000%6.398052%0.204688%0.000000%0.0%0.000%0%-0.000000%-3.385359%-3.831135%0.000000%0.0%0.000000%0.000000%3.385359%0.000000%0.0%0.000%0%

Armed Forces by Race#13

Percentage of each ethno-racial group's population 16 to 64 years of age in the armed forces.
Scope: population of Baltimore and University of Maryland
Female Male
Baltimore
University of Maryland
Shaded bar tips show excess over facing bar.
0.5%0.0%0.5%1.0%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.235399%0.000000%0.00%0.000000%0.000000%0.235399%0.004993%0.000000%0.00%0.000%0%-0.000000%-0.214486%-0.776226%0.000000%0.00%0.000000%0.000000%0.214486%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.080796%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.111199%0.000000%0.00%0.000%0%-0.000000%-0.177109%0.000000%0.00%0.000000%0.000000%0.177109%0.891384%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.373709%0.000000%0.00%0.000%0%

Employment by Race#14

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Baltimore and University of Maryland
Female Male
Baltimore
University of Maryland
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%60%%AsianBlackHispanic1WhiteMixedOther-46.739130%-65.257298%-46.739130%46.7%46.739130%29.451346%65.257298%6.990518%76.190476%76.2%52.212%52.2%-48.837209%-7.810190%-51.814540%-6.881957%-56.647399%56.6%48.837209%51.814540%48.837209%48.8%54.054%54.1%-50.000000%-2.631579%-65.841073%-52.631579%52.6%50.000000%65.841073%12.677323%50.000000%50.0%51.429%51.4%-31.891892%-70.918692%-31.891892%31.9%31.891892%21.233108%70.918692%3.155559%53.125000%53.1%41.739%41.7%-0.000000%-45.454545%-56.918309%-45.454545%45.5%0.000000%56.918309%2.670732%0.000000%0.0%45.455%45.5%-0.000000%-43.750000%-55.438144%-43.750000%43.8%0.000000%55.438144%17.303117%0.000000%0.0%43.750%43.8%

Employment Status by Neighborhood in Baltimore

There are 273 neighborhoods in Baltimore. This section compares University of Maryland to all of the neighborhoods in Baltimore and to those entities that contain or substantially overlap with University of Maryland.

Employed Working-Age Men by Neighborhood#19

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of University of Maryland, selected other neighborhoods in Baltimore, and entities that contain University of Maryland
0%50%100%Count#Bolton Hill NeighborhoodBolton HillTuscany-Canterbury NeighborhoodTuscany-CanterburyWestgate NeighborhoodWestgateWakefield NeighborhoodWakefieldBrewers Hill NeighborhoodBrewers HillTen Hills NeighborhoodTen HillsFranklintown NeighborhoodFranklintownTremont NeighborhoodTremontCross Keys NeighborhoodCross KeysPurnell NeighborhoodPurnellLiberty Square NeighborhoodLiberty SqO'Donnell Heights NeighborhoodO'Donnell HtsBurleith-Leighton NeighborhoodBurleith-LeightonDickeyville NeighborhoodDickeyvilleArlington NeighborhoodArlingtonCedarcroft NeighborhoodCedarcroftBellona-Gittings NeighborhoodBellona-GittingsLake Evesham NeighborhoodLake EveshamRosebank NeighborhoodRosebankThe Orchards NeighborhoodThe OrchardsHomeland NeighborhoodHomelandGuilford NeighborhoodGuilfordGwynns Falls - Leakin Park NeighborhoodGwynns Falls - Le…Wyndhurst NeighborhoodWyndhurstNorth Roland Park - Poplar Hill NeighborhoodN Roland Pk - Pop…Cheswolde NeighborhoodCheswoldePatterson Park NeighborhoodPatterson PkCross Country NeighborhoodCross CountryOakenshawe NeighborhoodOakenshaweAbell NeighborhoodAbellGlen NeighborhoodGlenCanton NeighborhoodCantonRidgely Delight NeighborhoodRidgely DelightBaltimore CountyBaltimoreFrankford NeighborhoodFrankfordMarylandForest Park Golf Course NeighborhoodFrst Pk Golf CrseBaltimore, Columbia, and Towson Metro AreaBaltimoreHopkins Bayview NeighborhoodHopkins BayviewUnited States of AmericaUnited StatesSouth AtlanticSouthInner Harbor NeighborhoodInner HarborBrooklyn NeighborhoodBrooklynLake Walker NeighborhoodLake WalkerBaltimoreBaltimore City Public SchoolsBaltimoreReservoir Hill NeighborhoodReservoir HlZIP Code 21201ZIP 21201Barre Circle NeighborhoodBarre Circle040200Tract 040200University of Maryland NeighborhoodUniv of MarylandBroadway East NeighborhoodBroadway EastBelair-Edison NeighborhoodBelair-EdisonOliver NeighborhoodOliverGwynns Falls NeighborhoodGwynns FallsPimlico Good Neighbors NeighborhoodPimlico Good Neig…East Baltimore Midway NeighborhoodE Baltimore MidwayPerkins Homes NeighborhoodPerkins HomesForest Park NeighborhoodForest ParkGarwyn Oaks NeighborhoodGarwyn OaksPenn-Fallsway NeighborhoodPenn-Fallsway040200-1B.G. 040200-1100.000000%100.000000%100.0%1601100.000000%100.000000%100.0%1311322100.000000%100.000000%100.0%1221233100.000000%100.000000%100.0%65664100.000000%100.000000%100.0%96975100.000000%100.000000%100.0%64656100.000000%100.000000%100.0%477100.000000%100.000000%100.0%43448100.000000%100.000000%100.0%389100.000000%100.000000%100.0%3110100.000000%100.000000%100.0%111211100.000000%100.000000%100.0%2212100.000000%100.000000%100.0%1113100.000000%100.000000%100.0%561499.262799%99.262799%99.3%1281598.853211%98.853211%98.9%48491698.853211%98.853211%98.9%401798.853211%98.853211%98.9%36371898.853211%98.853211%98.9%26271998.853211%98.853211%98.9%332098.841035%98.841035%98.8%2152198.482776%98.482776%98.5%612298.453422%98.453422%98.5%122398.266857%98.266857%98.3%392498.080325%98.080325%98.1%762598.000851%98.000851%98.0%3692696.853147%96.853147%96.9%342796.819236%96.819236%96.8%1891902896.527778%96.527778%96.5%802996.527778%96.527778%96.5%623094.396431%94.396431%94.4%3583593993.999872%93.999872%94.0%9309314190.041494%90.041494%90.0%45465889.004314%89.004314%89.0%42,49642.5k87.740808%87.740808%87.7%1,0437587.225633%87.225633%87.2%325,308325k87.192118%87.192118%87.2%29307786.587998%86.587998%86.6%145,215145k84.309623%84.309623%84.3%79683.826751%83.826751%83.8%16,918,49516.9M83.196825%83.196825%83.2%3,276,3853.28M82.890666%82.890666%82.9%6,325,3956.33M81.638126%81.638126%81.6%13411580.440774%80.440774%80.4%57557612479.802956%79.802956%79.8%10710813474.017917%74.017917%74.0%26,60526.6k74.017917%74.017917%74.0%26,60526.6k73.628358%73.628358%73.6%26626715371.312309%71.312309%71.3%70167.440732%67.440732%67.4%2017266.666667%66.666667%66.7%1666.666667%66.666667%66.7%4517462.188429%62.188429%62.2%16319157.372638%57.372638%57.4%43343420957.310168%57.310168%57.3%13813921048.006770%48.006770%48.0%2822942.897834%42.897834%42.9%3424825.555556%25.555556%25.6%505126421.804511%21.804511%21.8%272826519.946838%19.946838%19.9%111226619.393939%19.393939%19.4%82671.681219%1.681219%1.7%17182680.000000%0.000000%0.0%0

Definitions

  • Armed Forces: persons on active duty in the Armed Forces
  • Employed: persons who did any work for pay during the survey week, those who did at least 15 hours of unpaid work in a family-owned enterprise operated by someone in their household, and those who were temporarily absent from their regular jobs
  • Unemployed: persons are classified as unemployed if they do not have a job, have actively looked for work in the prior 4 weeks, and are currently available for work
  • Not in Labor Force: not in the labor force are those who are not classified as employed or unemployed during the survey reference week
  • Working-Age Men: males aged 35 to 44 years old, the national peak employment age

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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