Zihlman, MD Historical Employment Status Data
ACS 2010-2014 data
Zihlman, MD | Maryland | U.S. | |
Population 16 Years and Over | 302, see rank | 4,695,768 | 248,775,628 |
Male1 | 159, 52.65%, see rank | 47.77% | 48.69% |
Male, In Labor Force:2 | 136, 85.53%, see rank | 73.28% | 69.28% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.94% | 0.73% |
Male, Civilian2 | 136, 85.53%, see rank | 72.33% | 68.54% |
Male, Civilian, Employed3 | 102, 75.00%, see rank | 91.57% | 90.49% |
Male, Civilian, Unemployed3 | 34, 25.00%, see rank | 8.43% | 9.51% |
Male, Not in Labor Force2 | 23, 14.47%, see rank | 26.72% | 30.72% |
Female1 | 143, 47.35%, see rank | 52.23% | 51.31% |
Female, In Labor Force:2 | 90, 62.94%, see rank | 64.83% | 58.79% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.21% | 0.11% |
Female, Civilian2 | 90, 62.94%, see rank | 64.62% | 58.69% |
Female, Civilian, Employed3 | 45, 50.00%, see rank | 92.36% | 91.18% |
Female, Civilian, Unemployed3 | 45, 50.00%, see rank | 7.64% | 8.82% |
Female, Not in Labor Force2 | 53, 37.06%, 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
Zihlman, MD | Maryland | U.S. | |
Population 16 Years and Over | 327, see rank | 4,598,714 | 243,810,053 |
Male1 | 167, 51.07%, see rank | 47.70% | 48.65% |
Male, In Labor Force:2 | 155, 92.81%, see rank | 74.08% | 70.20% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 1.01% | 0.82% |
Male, Civilian2 | 155, 92.81%, see rank | 73.07% | 69.38% |
Male, Civilian, Employed3 | 123, 79.35%, see rank | 91.71% | 90.27% |
Male, Civilian, Unemployed3 | 32, 20.65%, see rank | 8.29% | 9.73% |
Male, Not in Labor Force2 | 12, 7.19%, see rank | 25.92% | 29.80% |
Female1 | 160, 48.93%, see rank | 52.30% | 51.35% |
Female, In Labor Force:2 | 118, 73.75%, see rank | 65.46% | 59.43% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.25% | 0.13% |
Female, Civilian2 | 118, 73.75%, see rank | 65.20% | 59.30% |
Female, Civilian, Employed3 | 92, 77.97%, see rank | 92.74% | 91.21% |
Female, Civilian, Unemployed3 | 26, 22.03%, see rank | 7.26% | 8.79% |
Female, Not in Labor Force2 | 42, 26.25%, 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.
ACS 2006-2010 data
Zihlman, MD | Maryland | U.S. | |
Population 16 Years and Over | 281, see rank | 4,503,062 | 238,733,844 |
Male1 | 148, 52.67%, see rank | 47.64% | 48.60% |
Male, In Labor Force:2 | 126, 85.14%, see rank | 74.56% | 70.92% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 1.00% | 0.83% |
Male, Civilian2 | 126, 85.14%, see rank | 73.56% | 70.09% |
Male, Civilian, Employed3 | 88, 69.84%, see rank | 93.05% | 91.78% |
Male, Civilian, Unemployed3 | 38, 30.16%, see rank | 6.95% | 8.22% |
Male, Not in Labor Force2 | 22, 14.86%, see rank | 25.44% | 29.08% |
Female1 | 133, 47.33%, see rank | 52.36% | 51.40% |
Female, In Labor Force:2 | 108, 81.20%, see rank | 65.16% | 59.40% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.27% | 0.13% |
Female, Civilian2 | 108, 81.20%, see rank | 64.89% | 59.26% |
Female, Civilian, Employed3 | 92, 85.19%, see rank | 93.82% | 92.41% |
Female, Civilian, Unemployed3 | 16, 14.81%, see rank | 6.18% | 7.59% |
Female, Not in Labor Force2 | 25, 18.80%, see rank | 34.84% | 40.60% |
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.