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21052 Zip Code Historical Employment Status Data
ACS 2010-2014 data
21052 Zip Code | Maryland | U.S. | |
Population 16 Years and Over | 221, see rank | 4,695,768 | 248,775,628 |
Male1 | 84, 38.01%, see rank | 47.77% | 48.69% |
Male, In Labor Force:2 | 67, 79.76%, see rank | 73.28% | 69.28% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.94% | 0.73% |
Male, Civilian2 | 67, 79.76%, see rank | 72.33% | 68.54% |
Male, Civilian, Employed3 | 52, 77.61%, see rank | 91.57% | 90.49% |
Male, Civilian, Unemployed3 | 15, 22.39%, see rank | 8.43% | 9.51% |
Male, Not in Labor Force2 | 17, 20.24%, see rank | 26.72% | 30.72% |
Female1 | 137, 61.99%, see rank | 52.23% | 51.31% |
Female, In Labor Force:2 | 83, 60.58%, see rank | 64.83% | 58.79% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.21% | 0.11% |
Female, Civilian2 | 83, 60.58%, see rank | 64.62% | 58.69% |
Female, Civilian, Employed3 | 41, 49.40%, see rank | 92.36% | 91.18% |
Female, Civilian, Unemployed3 | 42, 50.60%, see rank | 7.64% | 8.82% |
Female, Not in Labor Force2 | 54, 39.42%, see rank | 35.17% | 41.21% |
1 Percentage of the population of 16 years and over.
2 Percentage of the population of 16 years and over for the gender.
3 Percentage of the Civilian for the gender.
2 Percentage of the population of 16 years and over for the gender.
3 Percentage of the Civilian for the gender.
ACS 2008-2012 data
21052 Zip Code | Maryland | U.S. | |
Population 16 Years and Over | 201, see rank | 4,598,714 | 243,810,053 |
Male1 | 84, 41.79%, see rank | 47.70% | 48.65% |
Male, In Labor Force:2 | 63, 75.00%, see rank | 74.08% | 70.20% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 1.01% | 0.82% |
Male, Civilian2 | 63, 75.00%, see rank | 73.07% | 69.38% |
Male, Civilian, Employed3 | 50, 79.37%, see rank | 91.71% | 90.27% |
Male, Civilian, Unemployed3 | 13, 20.63%, see rank | 8.29% | 9.73% |
Male, Not in Labor Force2 | 21, 25.00%, see rank | 25.92% | 29.80% |
Female1 | 117, 58.21%, see rank | 52.30% | 51.35% |
Female, In Labor Force:2 | 85, 72.65%, see rank | 65.46% | 59.43% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.25% | 0.13% |
Female, Civilian2 | 85, 72.65%, see rank | 65.20% | 59.30% |
Female, Civilian, Employed3 | 49, 57.65%, see rank | 92.74% | 91.21% |
Female, Civilian, Unemployed3 | 36, 42.35%, see rank | 7.26% | 8.79% |
Female, Not in Labor Force2 | 32, 27.35%, see rank | 34.54% | 40.57% |
1 Percentage of the population of 16 years and over.
2 Percentage of the population of 16 years and over for the gender.
3 Percentage of the Civilian for the gender.
2 Percentage of the population of 16 years and over for the gender.
3 Percentage of the Civilian for the gender.
US Census 2000 data
21052 Zip Code | Maryland | U.S. | |
Population 16 Years and Over | 293, see rank | 4,085,942 | 217,168,077 |
Male1 | 165, 56.31%, see rank | 47.36% | 48.34% |
Male, In Labor Force:2 | 150, 90.91%, see rank | 73.30% | 70.75% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 1.31% | 0.94% |
Male, Civilian2 | 150, 90.91%, see rank | 71.99% | 69.81% |
Male, Civilian, Employed3 | 150, 100.00%, see rank | 95.35% | 94.28% |
Male, Civilian, Unemployed3 | 0, 0.00%, see rank | 4.65% | 5.72% |
Male, Not in Labor Force2 | 15, 9.09%, see rank | 26.70% | 29.25% |
Female1 | 128, 43.69%, see rank | 52.64% | 51.66% |
Female, In Labor Force:2 | 79, 61.72%, see rank | 62.82% | 57.54% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.32% | 0.15% |
Female, Civilian2 | 79, 61.72%, see rank | 62.50% | 57.39% |
Female, Civilian, Employed3 | 65, 82.28%, see rank | 95.22% | 94.17% |
Female, Civilian, Unemployed3 | 14, 17.72%, see rank | 4.78% | 5.83% |
Female, Not in Labor Force2 | 49, 38.28%, see rank | 37.18% | 42.46% |
1 Percentage of the population of 16 years and over.
2 Percentage of the population of 16 years and over for the gender.
3 Percentage of the Civilian for the gender.
2 Percentage of the population of 16 years and over for the gender.
3 Percentage of the Civilian for the gender.
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.