Indian Springs, MD Historical Employment Status Data
ACS 2010-2014 data
Indian Springs, MD | Maryland | U.S. | |
Population 16 Years and Over | 40, see rank | 4,695,768 | 248,775,628 |
Male1 | 16, 40.00%, see rank | 47.77% | 48.69% |
Male, In Labor Force:2 | 16, 100.00%, see rank | 73.28% | 69.28% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.94% | 0.73% |
Male, Civilian2 | 16, 100.00%, see rank | 72.33% | 68.54% |
Male, Civilian, Employed3 | 16, 100.00%, see rank | 91.57% | 90.49% |
Male, Civilian, Unemployed3 | 0, 0.00%, see rank | 8.43% | 9.51% |
Male, Not in Labor Force2 | 0, 0.00%, see rank | 26.72% | 30.72% |
Female1 | 24, 60.00%, see rank | 52.23% | 51.31% |
Female, In Labor Force:2 | 24, 100.00%, see rank | 64.83% | 58.79% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.21% | 0.11% |
Female, Civilian2 | 24, 100.00%, see rank | 64.62% | 58.69% |
Female, Civilian, Employed3 | 15, 62.50%, see rank | 92.36% | 91.18% |
Female, Civilian, Unemployed3 | 9, 37.50%, see rank | 7.64% | 8.82% |
Female, Not in Labor Force2 | 0, 0.00%, 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
Indian Springs, MD | Maryland | U.S. | |
Population 16 Years and Over | 83, see rank | 4,598,714 | 243,810,053 |
Male1 | 31, 37.35%, see rank | 47.70% | 48.65% |
Male, In Labor Force:2 | 31, 100.00%, see rank | 74.08% | 70.20% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 1.01% | 0.82% |
Male, Civilian2 | 31, 100.00%, see rank | 73.07% | 69.38% |
Male, Civilian, Employed3 | 31, 100.00%, see rank | 91.71% | 90.27% |
Male, Civilian, Unemployed3 | 0, 0.00%, see rank | 8.29% | 9.73% |
Male, Not in Labor Force2 | 0, 0.00%, see rank | 25.92% | 29.80% |
Female1 | 52, 62.65%, see rank | 52.30% | 51.35% |
Female, In Labor Force:2 | 52, 100.00%, see rank | 65.46% | 59.43% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.25% | 0.13% |
Female, Civilian2 | 52, 100.00%, see rank | 65.20% | 59.30% |
Female, Civilian, Employed3 | 52, 100.00%, see rank | 92.74% | 91.21% |
Female, Civilian, Unemployed3 | 0, 0.00%, see rank | 7.26% | 8.79% |
Female, Not in Labor Force2 | 0, 0.00%, 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
Indian Springs, MD | Maryland | U.S. | |
Population 16 Years and Over | 120, see rank | 4,503,062 | 238,733,844 |
Male1 | 50, 41.67%, see rank | 47.64% | 48.60% |
Male, In Labor Force:2 | 50, 100.00%, see rank | 74.56% | 70.92% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 1.00% | 0.83% |
Male, Civilian2 | 50, 100.00%, see rank | 73.56% | 70.09% |
Male, Civilian, Employed3 | 50, 100.00%, see rank | 93.05% | 91.78% |
Male, Civilian, Unemployed3 | 0, 0.00%, see rank | 6.95% | 8.22% |
Male, Not in Labor Force2 | 0, 0.00%, see rank | 25.44% | 29.08% |
Female1 | 70, 58.33%, see rank | 52.36% | 51.40% |
Female, In Labor Force:2 | 60, 85.71%, see rank | 65.16% | 59.40% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.27% | 0.13% |
Female, Civilian2 | 60, 85.71%, see rank | 64.89% | 59.26% |
Female, Civilian, Employed3 | 60, 100.00%, see rank | 93.82% | 92.41% |
Female, Civilian, Unemployed3 | 0, 0.00%, see rank | 6.18% | 7.59% |
Female, Not in Labor Force2 | 10, 14.29%, 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.