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Big Lake CDP, MN Historical Employment Status Data
ACS 2010-2014 data
Big Lake CDP, MN | Minnesota | U.S. | |
Population 16 Years and Over | 276, see rank | 4,247,699 | 248,775,628 |
Male1 | 157, 56.88%, see rank | 49.29% | 48.69% |
Male, In Labor Force:2 | 73, 46.50%, see rank | 73.95% | 69.28% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.09% | 0.73% |
Male, Civilian2 | 73, 46.50%, see rank | 73.86% | 68.54% |
Male, Civilian, Employed3 | 70, 95.89%, see rank | 92.86% | 90.49% |
Male, Civilian, Unemployed3 | 3, 4.11%, see rank | 7.14% | 9.51% |
Male, Not in Labor Force2 | 84, 53.50%, see rank | 26.05% | 30.72% |
Female1 | 119, 43.12%, see rank | 50.71% | 51.31% |
Female, In Labor Force:2 | 56, 47.06%, see rank | 66.28% | 58.79% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.01% | 0.11% |
Female, Civilian2 | 56, 47.06%, see rank | 66.27% | 58.69% |
Female, Civilian, Employed3 | 51, 91.07%, see rank | 94.29% | 91.18% |
Female, Civilian, Unemployed3 | 5, 8.93%, see rank | 5.71% | 8.82% |
Female, Not in Labor Force2 | 63, 52.94%, see rank | 33.72% | 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
Big Lake CDP, MN | Minnesota | U.S. | |
Population 16 Years and Over | 245, see rank | 4,180,087 | 243,810,053 |
Male1 | 143, 58.37%, see rank | 49.24% | 48.65% |
Male, In Labor Force:2 | 62, 43.36%, see rank | 74.86% | 70.20% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.12% | 0.82% |
Male, Civilian2 | 62, 43.36%, see rank | 74.74% | 69.38% |
Male, Civilian, Employed3 | 59, 95.16%, see rank | 92.03% | 90.27% |
Male, Civilian, Unemployed3 | 3, 4.84%, see rank | 7.97% | 9.73% |
Male, Not in Labor Force2 | 81, 56.64%, see rank | 25.14% | 29.80% |
Female1 | 102, 41.63%, see rank | 50.76% | 51.35% |
Female, In Labor Force:2 | 51, 50.00%, see rank | 66.66% | 59.43% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.01% | 0.13% |
Female, Civilian2 | 51, 50.00%, see rank | 66.65% | 59.30% |
Female, Civilian, Employed3 | 46, 90.20%, see rank | 94.00% | 91.21% |
Female, Civilian, Unemployed3 | 5, 9.80%, see rank | 6.00% | 8.79% |
Female, Not in Labor Force2 | 51, 50.00%, see rank | 33.34% | 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
Big Lake CDP, MN | Minnesota | U.S. | |
Population 16 Years and Over | 243, see rank | 4,111,966 | 238,733,844 |
Male1 | 139, 57.20%, see rank | 49.21% | 48.60% |
Male, In Labor Force:2 | 61, 43.88%, see rank | 75.58% | 70.92% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.14% | 0.83% |
Male, Civilian2 | 61, 43.88%, see rank | 75.43% | 70.09% |
Male, Civilian, Employed3 | 56, 91.80%, see rank | 92.74% | 91.78% |
Male, Civilian, Unemployed3 | 5, 8.20%, see rank | 7.26% | 8.22% |
Male, Not in Labor Force2 | 78, 56.12%, see rank | 24.42% | 29.08% |
Female1 | 104, 42.80%, see rank | 50.79% | 51.40% |
Female, In Labor Force:2 | 39, 37.50%, see rank | 66.60% | 59.40% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.02% | 0.13% |
Female, Civilian2 | 39, 37.50%, see rank | 66.58% | 59.26% |
Female, Civilian, Employed3 | 39, 100.00%, see rank | 94.58% | 92.41% |
Female, Civilian, Unemployed3 | 0, 0.00%, see rank | 5.42% | 7.59% |
Female, Not in Labor Force2 | 65, 62.50%, see rank | 33.40% | 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.