Employment Status in State Senate District 33, Colorado (State Senate District)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Colorado and State Senate District 33
State Senate District 33
Colorado
0%10%20%30%40%50%60%CountArmed ForcesEmployed1UnemployedOther20.122713%0.780463%0.122713%0.1%15766.030436%63.419894%66.030436%66.0%84,48084.5k4.114396%4.044108%4.114396%4.1%5,26429.732455%31.755536%29.732455%29.7%38,04038.0k

Employment Status By Sex#2

Percentage of male and female population aged 25 to 64 years old.
Scope: population of Colorado and State Senate District 33
State Senate District 33
Colorado
50%0%50%FMArmed ForcesEmployed1UnemployedOther2-0.106193%-0.106193%-0.106193%0.1%0.106193%0.034078%0.106193%0.034078%0.140271%0.1%7087-60.235444%-60.235444%-60.235444%60.2%60.235444%11.953905%60.235444%11.953905%72.189349%72.2%39,70639.7k44,77444.8k-3.892105%-0.431449%-3.892105%-0.431449%-4.323554%4.3%3.892105%3.892105%3.892105%3.9%2,8502,414-23.778276%-11.556534%-23.778276%-11.556534%-35.334810%35.3%23.778276%23.778276%23.778276%23.8%23,29223.3k14,74814.7k

Employment Status by Age#3

Employment status composition of the given age cohorts.
Scope: population of State Senate District 33
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%6.205986%6%0.748239%93.045775%93%2820.000000%14.960867%15%0.812763%84.226370%84%4970.000000%34.232815%34%0.807564%64.959622%65%1,7380.000000%45.873321%46%1.700027%52.426652%52%1,6730.000000%58.482462%58%3.364352%38.153185%38%1,6340.000000%66.883436%67%2.012270%31.104294%31%5,4510.141557%72.952477%73%4.019211%22.886754%23%14,45814.5k0.229126%77.879237%78%4.100681%17.790956%18%23,18123.2k0.334687%81.114891%81%3.154834%15.395589%15%14,84514.8k0.000000%78.150777%78%4.885223%16.964000%17%12,22212.2k0.000000%70.550213%71%5.139524%24.310263%24%4,4750.000000%58.879959%59%13.144931%13%27.975110%28%2,2710.000000%27.745497%28%9.558396%10%62.696107%63%1,9100%20%40%60%80%100%Count

Employment by Sex and Age#4

Percentage of population employed by sex and age cohort.
Scope: population of State Senate District 33
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-194.101%4.10%9.758%9.76%15.036%15.0%14.855%14.9%30.244%30.2%38.793%38.8%47.139%47.1%44.350%44.4%51.209%51.2%69.035%69.0%66.932%66.9%66.833%66.8%70.679%70.7%75.403%75.4%69.292%69.3%86.618%86.6%73.576%73.6%90.281%90.3%72.285%72.3%84.355%84.4%64.826%64.8%75.950%75.9%55.585%55.6%61.984%62.0%29.814%29.8%25.256%25.3%

Employment Sex Ratio by Age#5

Percentage more males or females employed by age cohort.
Scope: population of Colorado and State Senate District 33
More Females More Males
Colorado
State Senate District 33
40%20%0%20%40%M:FFM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1941.025641%34.759430%41.025641%41.0%1.4101.41117165-42.439024%-42.439024%42.4%24.978541%0.7020.7029220512.210012%26.639972%12.210012%12.2%1.1221.12819919-27.929155%-27.929155%27.9%17.407053%0.7820.78939734-7.623888%-7.623888%7.6%12.639923%0.9290.93847787-3.395522%-3.395522%3.4%9.750207%0.9670.972,7712,68011.559848%12.813148%11.559848%11.6%1.1161.126,8347,62429.514851%25.602005%29.514851%29.5%1.2951.3010,10010.1k13,08113.1k9.408943%23.823018%9.408943%9.4%1.0941.097,0897,75610.325245%19.402791%10.325245%10.3%1.1031.105,8116,41124.198397%12.345632%24.198397%24.2%1.2421.241,9962,47918.365385%13.252887%18.365385%18.4%1.1841.181,0401,231-42.078580%-1.027137%-42.078580%42.1%0.7040.701,121789

Male Employment by Age#6

Percentage of male population employed by age cohort. Gray areas represent percentile bands from the upper state legislative districts in Colorado.
Scope: population of Colorado, State Senate District 33, and selected other upper state legislative districts in Coloradoes
State Senate District 33
Colorado
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-199.758%9.76%14.855%14.9%38.793%38.8%44.350%44.4%69.035%69.0%66.833%66.8%75.403%75.4%86.618%86.6%90.281%90.3%84.355%84.4%75.950%75.9%61.984%62.0%25.256%25.3%

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the upper state legislative districts in Colorado.
Scope: population of Colorado, State Senate District 33, and selected other upper state legislative districts in Coloradoes
State Senate District 33
Colorado
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-194.101%4.10%15.036%15.0%30.244%30.2%47.139%47.1%51.209%51.2%66.932%66.9%70.679%70.7%69.292%69.3%73.576%73.6%72.285%72.3%64.826%64.8%55.585%55.6%29.814%29.8%

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Colorado and State Senate District 33
State Senate District 33
Colorado
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 …237.069435%27.708973%37.069435%37.1%8,85718.206169%12.494287%18.206169%18.2%4,3502.176370%1.475984%2.176370%2.2%5200.799397%0.571915%0.799397%0.8%19123.140669%27.281961%23.140669%23.1%5,5297.893525%10.454581%7.893525%7.9%1,8863.478006%5.481464%3.478006%3.5%8317.236429%14.530835%7.236429%7.2%1,729

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 Colorado and State Senate District 33
State Senate District 33
Colorado
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work63.637017%65.581568%63.637017%63.6%8,85731.254491%29.571466%31.254491%31.3%4,3503.736169%3.493357%3.736169%3.7%5201.372324%1.353609%1.372324%1.4%191

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 Colorado and State Senate District 33
State Senate District 33
Colorado
0%10%20%30%40%50%CountBoth WorkLadies Who LunchGents Who LunchNeither Work55.428571%47.242439%55.428571%55.4%5,52918.907268%18.103534%18.907268%18.9%1,8868.330827%9.491903%8.330827%8.3%83117.333333%25.162124%17.333333%17.3%1,729

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 Colorado and State Senate District 33
State Senate District 33
Colorado
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma387.907087%83.649511%87.907087%87.9%33,41733.4k75.081231%76.123851%75.081231%75.1%18,71718.7k64.001677%69.854830%64.001677%64.0%12,21612.2k57.378494%61.183539%57.378494%57.4%9,114

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 Colorado and State Senate District 33
Female Male
Colorado
State Senate District 33
Shaded bar tips show excess over facing bar.
40%20%0%20%%BlackHispanic1OtherMixedAsianWhite-35.648352%-5.692039%-34.493448%-1.035822%-41.340391%41.3%35.648352%34.493448%35.648352%35.6%38.667%38.7%-22.636166%-24.758537%-25.716574%-13.189664%-47.394703%47.4%22.636166%25.716574%22.636166%22.6%35.037%35.0%-23.101449%-21.295102%-25.110321%-15.088150%-44.396552%44.4%23.101449%25.110321%23.101449%23.1%33.034%33.0%-31.906615%-29.707185%-8.362743%-31.906615%31.9%31.906615%0.195296%29.707185%32.101911%32.1%31.991%32.0%-23.130715%-9.636774%-20.743249%-15.701232%-32.767490%32.8%23.130715%20.743249%23.130715%23.1%28.057%28.1%-16.727065%-5.004155%-21.061546%-8.052706%-21.731220%21.7%16.727065%21.061546%16.727065%16.7%19.238%19.2%

Unemployment by Race#13

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Colorado and State Senate District 33
Female Male
Colorado
State Senate District 33
Shaded bar tips show excess over facing bar.
10%5%0%5%%MixedBlackOtherAsianHispanic1White-5.923567%-5.846861%-6.992841%-11.770428%11.8%5.923567%6.992841%0.215351%5.923567%5.9%9.239%9.24%-6.092308%-2.049671%-7.487054%-0.662225%-8.141979%8.1%6.092308%7.487054%6.092308%6.1%7.179%7.18%-4.666667%-3.357206%-6.185094%-1.204961%-8.023873%8.0%4.666667%6.185094%4.666667%4.7%6.233%6.23%-2.932099%-2.708811%-2.932099%2.9%2.932099%3.307815%2.708811%0.407527%6.239914%6.2%4.549%4.55%-4.015977%-0.347896%-5.295166%-0.074718%-4.363873%4.4%4.015977%5.295166%4.015977%4.0%4.190%4.19%-2.543058%-3.659874%-2.543058%2.5%2.543058%0.417160%3.659874%0.921931%2.960218%3.0%2.751%2.75%

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 Colorado and State Senate District 33
Female Male
Colorado
State Senate District 33
Shaded bar tips show excess over facing bar.
1%0%1%2%3%%AsianBlackWhiteHispanic1MixedOther-0.000000%-0.320996%0.000000%0.0%0.000000%0.537924%0.320996%0.946130%0.537924%0.5%0.263%0.26%-0.105495%-0.268134%-1.009671%-0.373628%0.4%0.105495%1.009671%2.030615%0.105495%0.1%0.248%0.25%-0.088946%-0.215406%-0.088946%0.1%0.088946%0.175722%0.215406%1.358544%0.264669%0.3%0.176%0.18%-0.000000%-0.213349%0.000000%0.0%0.000000%0.000000%0.213349%0.909673%0.000000%0.0%0.000%0%-0.000000%-0.353014%0.000000%0.0%0.000000%0.000000%0.353014%2.461997%0.000000%0.0%0.000%0%-0.000000%-0.242937%0.000000%0.0%0.000000%0.000000%0.242937%0.952501%0.000000%0.0%0.000%0%

Employment by Race#15

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Colorado and State Senate District 33
Female Male
Colorado
State Senate District 33
Shaded bar tips show excess over facing bar.
50%0%50%%WhiteAsianMixedOtherHispanic1Black-78.268780%-70.885747%-78.268780%78.3%78.268780%5.004155%70.885747%8.052706%83.272935%83.3%80.762%80.8%-67.232510%-63.555519%-67.232510%67.2%67.232510%9.636774%63.555519%15.701232%76.869285%76.9%71.943%71.9%-67.898089%-0.195296%-61.930072%-68.093385%68.1%67.898089%61.930072%8.362743%67.898089%67.9%68.009%68.0%-55.603448%-59.801529%-55.603448%55.6%55.603448%21.295102%59.801529%15.088150%76.898551%76.9%66.966%67.0%-52.605297%-61.093762%-52.605297%52.6%52.605297%24.758537%61.093762%13.189664%77.363834%77.4%64.963%65.0%-58.659609%-64.470730%-58.659609%58.7%58.659609%5.692039%64.470730%1.035822%64.351648%64.4%61.333%61.3%

Map of Employment Status by Tract in State Senate District 33

Both Parents Work Employment Status by Tract#16

Percentage of married families with children under the age of 18 present in which both parents work outside the home (%):
12%21%31%40%49%59%

Stay at Home Moms Employment Status by Tract#17

Percentage of married families with children under the age of 18 present in which the husband works outside the home and the wife stays at home (%):
0%8%16%25%33%41%

Stay at Home Dads Employment Status by Tract#18

Percentage of married families with children under the age of 18 present in which the wife works outside the home and the husband stays at home (%):
0.0%2.3%4.7%7.0%9.3%11.7%

Neither Parent Works Employment Status by Tract#19

Percentage of married families with children under the age of 18 present in which neither parent works outside the home (%):
0.0%0.8%1.5%2.3%3.0%3.8%

Employed Working-Age Men Employment Status by Tract#20

Percentage of male population aged 35 to 44 years old that are employed
0%20%40%60%80%100%
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Employment Status by Place in State Senate District 33

There is 1 place that are fully or partially contained within State Senate District 33 (0 fully and 1 partially). This section compares all 1 of those to each other, State Senate District 33, and other entities that contain or substantially overlap with State Senate District 33.

Employed Working-Age Men by Place#25

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of State Senate District 33, selected places in State Senate District 33, and entities that contain State Senate District 33
0%20%40%60%80%Count#Denver, Aurora, and Lakewood Metro AreaDenver AreaDenver CountyDenverDenverDenver County School District 1Denver Co 1ColoradoState Senate District 33CO-33MountainWestUnited States of AmericaUnited States89.878241%89.878241%89.9%183,286183k88.135281%88.135281%88.1%47,89847.9k88.135281%88.135281%88.1%47,89847.9k88.135281%88.135281%88.1%47,89847.9k87.801056%87.801056%87.8%326,677327k86.617667%86.617667%86.6%13,08113.1k84.587252%84.587252%84.6%1,273,2201.27M84.237717%84.237717%84.2%4,179,1624.18M83.826751%83.826751%83.8%16,918,49516.9M

Employment Status by Metro Area in State Senate District 33

There is 1 metro area that are fully or partially contained within State Senate District 33 (0 fully and 1 partially). This section compares all 1 of those to each other, State Senate District 33, and other entities that contain or substantially overlap with State Senate District 33.

Employed Working-Age Men by Metro Area#30

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of State Senate District 33, selected metro areas in State Senate District 33, and entities that contain State Senate District 33
0%20%40%60%80%Count#Denver, Aurora, and Lakewood Metro AreaDenver AreaDenver CountyDenverDenverDenver County School District 1Denver Co 1ColoradoState Senate District 33CO-33MountainWestUnited States of AmericaUnited States89.878241%89.878241%89.9%183,286183k88.135281%88.135281%88.1%47,89847.9k88.135281%88.135281%88.1%47,89847.9k88.135281%88.135281%88.1%47,89847.9k87.801056%87.801056%87.8%326,677327k86.617667%86.617667%86.6%13,08113.1k84.587252%84.587252%84.6%1,273,2201.27M84.237717%84.237717%84.2%4,179,1624.18M83.826751%83.826751%83.8%16,918,49516.9M

Employment Status by County in State Senate District 33

There is 1 county that are fully or partially contained within State Senate District 33 (0 fully and 1 partially). This section compares all 1 of those to each other, State Senate District 33, and other entities that contain or substantially overlap with State Senate District 33.

Employed Working-Age Men by County#35

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of State Senate District 33, selected counties in State Senate District 33, and entities that contain State Senate District 33
0%20%40%60%80%Count#Denver, Aurora, and Lakewood Metro AreaDenver AreaDenver CountyDenverDenverDenver County School District 1Denver Co 1ColoradoState Senate District 33CO-33MountainWestUnited States of AmericaUnited States89.878241%89.878241%89.9%183,286183k88.135281%88.135281%88.1%47,89847.9k88.135281%88.135281%88.1%47,89847.9k88.135281%88.135281%88.1%47,89847.9k87.801056%87.801056%87.8%326,677327k86.617667%86.617667%86.6%13,08113.1k84.587252%84.587252%84.6%1,273,2201.27M84.237717%84.237717%84.2%4,179,1624.18M83.826751%83.826751%83.8%16,918,49516.9M

Employment Status by County Subdivision in State Senate District 33

There is 1 county subdivision that are fully or partially contained within State Senate District 33 (0 fully and 1 partially). This section compares all 1 of those to each other, State Senate District 33, and other entities that contain or substantially overlap with State Senate District 33.

Employed Working-Age Men by County Subdivision#40

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of State Senate District 33, selected county subdivisions in State Senate District 33, and entities that contain State Senate District 33
0%20%40%60%80%Count#Denver, Aurora, and Lakewood Metro AreaDenver AreaDenver CountyDenverDenverDenver County School District 1Denver Co 1DenverColoradoState Senate District 33CO-33MountainWestUnited States of AmericaUnited States89.878241%89.878241%89.9%183,286183k88.135281%88.135281%88.1%47,89847.9k88.135281%88.135281%88.1%47,89847.9k88.135281%88.135281%88.1%47,89847.9k88.135281%88.135281%88.1%47,89847.9k187.801056%87.801056%87.8%326,677327k86.617667%86.617667%86.6%13,08113.1k84.587252%84.587252%84.6%1,273,2201.27M84.237717%84.237717%84.2%4,179,1624.18M83.826751%83.826751%83.8%16,918,49516.9M

Employment Status by Upper State Legislative District in Colorado

There are 35 upper state legislative districts in Colorado. This section compares State Senate District 33 to all of the upper state legislative districts in Colorado and to those entities that contain or substantially overlap with State Senate District 33.

Employed Working-Age Men by Upper State Legislative District#45

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of State Senate District 33, selected other upper state legislative districts in Colorado, and entities that contain State Senate District 33
0%20%40%60%80%Count#State Senate District 4CO-4State Senate District 30CO-30State Senate District 23CO-23State Senate District 9CO-9State Senate District 17CO-17State Senate District 19CO-19State Senate District 24CO-24State Senate District 21CO-21State Senate District 28CO-28State Senate District 20CO-20State Senate District 8CO-8State Senate District 15CO-15State Senate District 31CO-31Denver, Aurora, and Lakewood Metro AreaDenver AreaState Senate District 27CO-27State Senate District 12CO-12State Senate District 26CO-26State Senate District 14CO-14State Senate District 18CO-18State Senate District 7CO-7State Senate District 25CO-25State Senate District 29CO-29State Senate District 32CO-32Denver CountyDenverDenverDenver County School District 1Denver Co 1State Senate District 16CO-16ColoradoState Senate District 34CO-34State Senate District 10CO-10State Senate District 5CO-5State Senate District 13CO-13State Senate District 33CO-33State Senate District 11CO-11MountainWestUnited States of AmericaUnited StatesState Senate District 22CO-22State Senate District 6CO-6State Senate District 1CO-1State Senate District 3CO-3State Senate District 35CO-35State Senate District 2CO-294.655029%94.655029%94.7%11,38711.4k194.285938%94.285938%94.3%12,06212.1k293.755380%93.755380%93.8%11,98112.0k393.015004%93.015004%93.0%9,175492.265297%92.265297%92.3%9,877592.209398%92.209398%92.2%8,948691.783997%91.783997%91.8%10,69110.7k791.710275%91.710275%91.7%11,04111.0k891.232685%91.232685%91.2%10,40610.4k991.097010%91.097010%91.1%9,4751090.919643%90.919643%90.9%10,18310.2k1190.665135%90.665135%90.7%8,6831290.478127%90.478127%90.5%11,12711.1k1389.878241%89.878241%89.9%183,286183k89.735763%89.735763%89.7%9,4071489.394257%89.394257%89.4%8,5301589.203313%89.203313%89.2%9,0471689.157509%89.157509%89.2%8,5191789.078901%89.078901%89.1%7,5531888.778955%88.778955%88.8%7,6271988.511184%88.511184%88.5%11,04011.0k2088.351609%88.351609%88.4%9,8302188.175417%88.175417%88.2%11,52111.5k2288.135281%88.135281%88.1%47,89847.9k88.135281%88.135281%88.1%47,89847.9k88.135281%88.135281%88.1%47,89847.9k87.997978%87.997978%88.0%8,7032387.801056%87.801056%87.8%326,677327k87.577992%87.577992%87.6%10,80810.8k2487.226390%87.226390%87.2%8,4882586.774655%86.774655%86.8%9,1072686.755102%86.755102%86.8%8,5022786.617667%86.617667%86.6%13,08113.1k2884.815967%84.815967%84.8%7,9042984.587252%84.587252%84.6%1,273,2201.27M84.237717%84.237717%84.2%4,179,1624.18M83.826751%83.826751%83.8%16,918,49516.9M83.346266%83.346266%83.3%8,5933082.210005%82.210005%82.2%7,4773179.042235%79.042235%79.0%7,4113274.641148%74.641148%74.6%6,2403368.724438%68.724438%68.7%5,3773465.355004%65.355004%65.4%6,87635

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

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