Van Dyne, WI Historical Employment Status Data
ACS 2010-2014 data
Van Dyne, WI | Wisconsin | U.S. | |
Population 16 Years and Over | 253, see rank | 4,561,244 | 248,775,628 |
Male1 | 129, 50.99%, see rank | 49.26% | 48.69% |
Male, In Labor Force:2 | 101, 78.29%, see rank | 71.21% | 69.28% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.10% | 0.73% |
Male, Civilian2 | 101, 78.29%, see rank | 71.11% | 68.54% |
Male, Civilian, Employed3 | 96, 95.05%, see rank | 91.99% | 90.49% |
Male, Civilian, Unemployed3 | 5, 4.95%, see rank | 8.01% | 9.51% |
Male, Not in Labor Force2 | 28, 21.71%, see rank | 28.79% | 30.72% |
Female1 | 124, 49.01%, see rank | 50.74% | 51.31% |
Female, In Labor Force:2 | 101, 81.45%, see rank | 63.79% | 58.79% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.01% | 0.11% |
Female, Civilian2 | 101, 81.45%, see rank | 63.77% | 58.69% |
Female, Civilian, Employed3 | 101, 100.00%, see rank | 93.65% | 91.18% |
Female, Civilian, Unemployed3 | 0, 0.00%, see rank | 6.35% | 8.82% |
Female, Not in Labor Force2 | 23, 18.55%, see rank | 36.21% | 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
Van Dyne, WI | Wisconsin | U.S. | |
Population 16 Years and Over | 279, see rank | 4,512,525 | 243,810,053 |
Male1 | 133, 47.67%, see rank | 49.23% | 48.65% |
Male, In Labor Force:2 | 107, 80.45%, see rank | 72.39% | 70.20% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.15% | 0.82% |
Male, Civilian2 | 107, 80.45%, see rank | 72.24% | 69.38% |
Male, Civilian, Employed3 | 107, 100.00%, see rank | 91.60% | 90.27% |
Male, Civilian, Unemployed3 | 0, 0.00%, see rank | 8.40% | 9.73% |
Male, Not in Labor Force2 | 26, 19.55%, see rank | 27.61% | 29.80% |
Female1 | 146, 52.33%, see rank | 50.77% | 51.35% |
Female, In Labor Force:2 | 107, 73.29%, see rank | 64.71% | 59.43% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.03% | 0.13% |
Female, Civilian2 | 107, 73.29%, see rank | 64.68% | 59.30% |
Female, Civilian, Employed3 | 107, 100.00%, see rank | 93.55% | 91.21% |
Female, Civilian, Unemployed3 | 0, 0.00%, see rank | 6.45% | 8.79% |
Female, Not in Labor Force2 | 39, 26.71%, see rank | 35.29% | 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
Van Dyne, WI | Wisconsin | U.S. | |
Population 16 Years and Over | 328, see rank | 4,458,387 | 238,733,844 |
Male1 | 136, 41.46%, see rank | 49.20% | 48.60% |
Male, In Labor Force:2 | 131, 96.32%, see rank | 73.29% | 70.92% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.17% | 0.83% |
Male, Civilian2 | 131, 96.32%, see rank | 73.12% | 70.09% |
Male, Civilian, Employed3 | 109, 83.21%, see rank | 92.52% | 91.78% |
Male, Civilian, Unemployed3 | 22, 16.79%, see rank | 7.48% | 8.22% |
Male, Not in Labor Force2 | 5, 3.68%, see rank | 26.71% | 29.08% |
Female1 | 192, 58.54%, see rank | 50.80% | 51.40% |
Female, In Labor Force:2 | 55, 28.65%, see rank | 64.94% | 59.40% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.03% | 0.13% |
Female, Civilian2 | 55, 28.65%, see rank | 64.90% | 59.26% |
Female, Civilian, Employed3 | 55, 100.00%, see rank | 94.24% | 92.41% |
Female, Civilian, Unemployed3 | 0, 0.00%, see rank | 5.76% | 7.59% |
Female, Not in Labor Force2 | 137, 71.35%, see rank | 35.06% | 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.