Employment Status in Tuscany-Canterbury, Baltimore, Maryland (Neighborhood)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Baltimore and Tuscany-Canterbury
Tuscany-Canterbury
Baltimore
0%10%20%30%40%50%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.104826%055.022348%54.681654%55.022348%55.0%1,7611,7623.034580%7.044809%3.034580%3.0%9741.943072%38.168712%41.943072%41.9%1,343
Count population with given employment status
1excluding armed forces 2not in the labor force

Employment Status By Sex#2

Percentage of male and female population aged 25 to 64 years old.
Scope: population of Baltimore and Tuscany-Canterbury
Tuscany-Canterbury
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%00-54.200820%-1.519059%-54.200820%-1.519059%-55.719878%55.7%54.200820%54.200820%54.200820%54.2%964965796797-2.435842%-2.435842%-2.435842%2.4%2.435842%1.303912%2.435842%1.303912%3.739754%3.7%425455-41.844280%-41.844280%-41.844280%41.8%41.844280%0.215146%41.844280%0.215146%42.059426%42.1%724725618
F females with given employment status
M males with given employment status
1excluding armed forces 2not in the labor force

Employment Status by Age#3

Employment status composition of the given age cohorts.
Scope: population of Tuscany-Canterbury
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%25.133690%25%0.000000%74.866310%75%1060.000000%41.420118%41%0.000000%58.579882%59%52530.000000%48.011364%48%0.000000%51.988636%52%1270.000000%77.631579%78%0.000000%22.368421%22%1330.000000%100.000000%100%0.000000%0.000000%600.000000%60.076046%60%0.000000%39.923954%40%1190.000000%53.403141%53%5.759162%40.837696%41%1531540.000000%81.818182%82%11.570248%12%6.611570%7%2980.000000%82.904412%83%0.000000%17.095588%17%3393400.000000%68.674699%69%4.216867%27.108434%27%2572580.000000%46.198830%46%0.000000%53.801170%54%59600.000000%23.529412%24%9.803922%10%66.666667%67%540.000000%0.000000%0.000000%100.000000%100%00%20%40%60%80%100%Count
Count number of people in age cohort

Employment by Sex and Age#4

Percentage of population employed by sex and age cohort.
Scope: population of Tuscany-Canterbury
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1915.517%15.5%35.424%35.4%36.441%36.4%52.941%52.9%43.293%43.3%52.128%52.1%73.103%73.1%85.542%85.5%100.000%100%100.000%100%66.146%66.1%43.662%43.7%39.888%39.9%65.196%65.2%71.521%71.5%100.000%100%82.550%82.6%83.333%83.3%86.695%86.7%52.830%52.8%78.049%78.0%36.154%36.2%33.152%33.2%9.016%9.02%0.000%0%0.000%0%
F employed females as percentage of age cohort
M employed males as percentage of age cohort

Employment Sex Ratio by Age#5

Percentage more males or females employed by age cohort.
Scope: population of Baltimore and Tuscany-Canterbury
More Females More Males
Baltimore
Tuscany-Canterbury
400%300%200%100%0%100%M:FFM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-21-0.928793%113.333333%113.333333%113.3%2.1332.13333472-59.259259%-59.259259%59.3%6.732026%0.6280.633220-10.341952%38.028169%38.028169%38.0%1.3801.38537374-49.295775%-31.502890%-49.295775%49.3%0.6700.67798053-133.333333%-37.134503%-133.333333%133.3%0.4290.434218-309.677419%-26.294037%-309.677419%309.7%0.2440.24959623-9.962174%87.323944%87.323944%87.3%1.8731.8753100-26.285714%-6.615298%-26.285714%26.3%0.7920.79166131132-20.000000%-3.505852%-20.000000%20.0%0.8330.83185154-44.285714%-9.957431%-44.285714%44.3%0.6930.69152105-33.557047%46.875000%46.875000%46.9%1.4691.472435-454.545455%-41.072464%-454.545455%454.5%0.1800.1845468
M:F ratio of males to females in the age cohort
F employed females in the age cohort
M employed males in the age cohort

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, Tuscany-Canterbury, and selected other neighborhoods in Baltimores
Tuscany-Canterbury
Baltimore
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1935.424%35.4%52.941%52.9%52.128%52.1%85.542%85.5%100.000%100%43.662%43.7%65.196%65.2%100.000%100%83.333%83.3%52.830%52.8%36.154%36.2%9.016%9.02%0.000%0%
% employed percentage of male population in Tuscany-Canterbury

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, Tuscany-Canterbury, and selected other neighborhoods in Baltimores
Tuscany-Canterbury
Baltimore
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1915.517%15.5%36.441%36.4%43.293%43.3%73.103%73.1%100.000%100%66.146%66.1%39.888%39.9%71.521%71.5%82.550%82.6%86.695%86.7%78.049%78.0%33.152%33.2%0.000%0%
% employed percentage of female population in Tuscany-Canterbury

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Baltimore and Tuscany-Canterbury
Tuscany-Canterbury
Baltimore
0%10%20%30%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 …210.755442%24.906150%10.755442%10.8%636.402049%6.738171%6.402049%6.4%37381.536492%1.954848%1.536492%1.5%90.000000%0.000000%0.0%1.067382%022.919334%31.493815%22.919334%22.9%13413528.297055%10.224029%28.297055%28.3%16612.548015%8.419687%12.548015%12.5%737417.541613%15.195917%17.541613%17.5%103
1children under 18 present in the house 2no children under 18 present in the house

Employment among the Married With Children#9

Selected employment arrangements as a percentage of married couples with children under 18 present in the house.
Scope: households in Baltimore and Tuscany-Canterbury
Tuscany-Canterbury
Baltimore
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work57.534247%71.844902%57.534247%57.5%6334.246575%19.437098%34.246575%34.2%37388.219178%5.639004%8.219178%8.2%90.000000%0.000000%0.0%3.078996%0

Employment among the Married Without Children#10

Selected employment arrangements as a percentage of married couples without children under 18 present in the house.
Scope: households in Baltimore and Tuscany-Canterbury
Tuscany-Canterbury
Baltimore
0%10%20%30%40%CountBoth WorkLadies Who LunchGents Who LunchNeither Work28.188976%48.204734%28.188976%28.2%13413534.803150%15.648996%34.803150%34.8%16615.433071%12.887253%15.433071%15.4%737421.574803%23.259016%21.574803%21.6%103

Employment by Educational Attainment#11

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 Tuscany-Canterbury
Tuscany-Canterbury
Baltimore
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma378.609626%86.577524%78.609626%78.6%1,10753.583618%68.460146%53.583618%53.6%11854.391892%56.874005%54.391892%54.4%121100.000000%38.528959%100.000000%100.0%15
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

The Non-Working by Race#12

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 Tuscany-Canterbury
Female Male
Baltimore
Tuscany-Canterbury
Shaded bar tips show excess over facing bar.
50%0%50%100%%BlackHispanic1OtherMixedAsianWhite-60.080645%-41.303503%-60.080645%60.1%60.080645%39.919355%41.303503%6.881957%100.000000%100.0%70.623%70.6%-48.275862%-21.481604%-12.677323%-48.275862%48.3%48.275862%51.724138%21.481604%100.000000%100.0%74.576%74.6%-27.027027%-27.258738%-17.303117%-27.027027%27.0%27.027027%45.195195%27.258738%72.222222%72.2%56.881%56.9%-20.000000%-38.119658%-40.410959%-2.670732%-58.119658%58.1%20.000000%40.410959%20.000000%20.0%43.229%43.2%-36.392405%-1.715012%-27.752184%-6.990518%-38.107417%38.1%36.392405%27.752184%36.392405%36.4%37.341%37.3%-23.756906%-25.925749%-3.155559%-23.756906%23.8%23.756906%11.591931%25.925749%35.348837%35.3%29.405%29.4%
% percentage of both sexes combined
1white Hispanic

Unemployment by Race#13

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Baltimore and Tuscany-Canterbury
Female Male
Baltimore
Tuscany-Canterbury
Shaded bar tips show excess over facing bar.
20%0%20%40%60%80%100%%Hispanic1BlackWhiteAsianMixedOther-0.000000%-4.169247%0.000000%0.0%0.000000%100.000000%4.169247%0.037980%100.000000%100.0%50.847%50.8%-22.580645%-9.485739%-22.580645%22.6%22.580645%14.498007%9.485739%2.812061%37.078652%37.1%26.409%26.4%-0.000000%-3.666179%0.000000%0.0%0.000000%1.162791%3.666179%0.345666%1.162791%1.2%0.567%0.57%-0.000000%-2.287090%0.000000%0.0%0.000000%0.000000%2.287090%1.017120%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%
% percentage of both sexes combined
1white Hispanic

Armed Forces by Race#14

Percentage of each ethno-racial group's population 16 to 64 years of age in the armed forces.
Scope: population of Baltimore and Tuscany-Canterbury
Female Male
Baltimore
Tuscany-Canterbury
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%
% percentage of both sexes combined
1white Hispanic

Employment by Race#15

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Baltimore and Tuscany-Canterbury
Female Male
Baltimore
Tuscany-Canterbury
Shaded bar tips show excess over facing bar.
50%0%50%%WhiteAsianMixedOtherHispanic1Black-64.651163%-11.591931%-70.918692%-76.243094%76.2%64.651163%70.918692%3.155559%64.651163%64.7%70.595%70.6%-61.892583%-65.257298%-61.892583%61.9%61.892583%1.715012%65.257298%6.990518%63.607595%63.6%62.659%62.7%-41.880342%-56.918309%-41.880342%41.9%41.880342%38.119658%56.918309%2.670732%80.000000%80.0%56.771%56.8%-27.777778%-45.195195%-55.438144%-72.972973%73.0%27.777778%55.438144%17.303117%27.777778%27.8%43.119%43.1%-0.000000%-51.724138%-65.841073%-51.724138%51.7%0.000000%65.841073%12.677323%0.000000%0.0%25.424%25.4%-0.000000%-39.919355%-51.814540%-6.881957%-39.919355%39.9%0.000000%51.814540%0.000000%0.0%29.377%29.4%
% percentage of both sexes combined
1white Hispanic

Employment Status by Neighborhood in Baltimore

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

Employed Working-Age Men by Neighborhood#20

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Tuscany-Canterbury, selected other neighborhoods in Baltimore, and entities that contain Tuscany-Canterbury
0%50%100%Count#120100Tract 120100Bolton Hill NeighborhoodBolton HillTuscany-Canterbury NeighborhoodTuscany-Canterb…Westgate 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 HlBarre Circle NeighborhoodBarre CircleBroadway 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-Fallsway100.000000%100.000000%100.0%175100.000000%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%26626715367.440732%67.440732%67.4%2017262.188429%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%1718268
Count number of employed 35 to 44 year old men
# rank of neighborhood out of 268 by percentage employed 35 to 44 year old men

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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State:
Maryland
City:
Baltimore
Metro Area:
Baltimore Area
City:
Baltimore
ZIP Codes:
21210, 21218
Unified School District:
Baltimore
Congressional Districts:
MD-3, MD-7
State Senate District:
MD-43
State Legislative District:
MD-43
Neighboring Neighborhoods:
Guilford, Johns Hopkins Homewood, Keswick, Roland Park, Wyman Park
Nearby Neighborhoods:
Abell, Blythewood, Evergreen, Hampden, Hoes Heights, Kernewood, Loyola - Notre Dame, Oakenshawe, Pen Lucy, Waverly