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Diamond Bluff, WI Historical Employment Status Data
ACS 2010-2014 data
Diamond Bluff, WI | Wisconsin | U.S. | |
Population 16 Years and Over | 170, see rank | 4,561,244 | 248,775,628 |
Male1 | 75, 44.12%, see rank | 49.26% | 48.69% |
Male, In Labor Force:2 | 51, 68.00%, see rank | 71.21% | 69.28% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.10% | 0.73% |
Male, Civilian2 | 51, 68.00%, see rank | 71.11% | 68.54% |
Male, Civilian, Employed3 | 48, 94.12%, see rank | 91.99% | 90.49% |
Male, Civilian, Unemployed3 | 3, 5.88%, see rank | 8.01% | 9.51% |
Male, Not in Labor Force2 | 24, 32.00%, see rank | 28.79% | 30.72% |
Female1 | 95, 55.88%, see rank | 50.74% | 51.31% |
Female, In Labor Force:2 | 52, 54.74%, see rank | 63.79% | 58.79% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.01% | 0.11% |
Female, Civilian2 | 52, 54.74%, see rank | 63.77% | 58.69% |
Female, Civilian, Employed3 | 48, 92.31%, see rank | 93.65% | 91.18% |
Female, Civilian, Unemployed3 | 4, 7.69%, see rank | 6.35% | 8.82% |
Female, Not in Labor Force2 | 43, 45.26%, 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
Diamond Bluff, WI | Wisconsin | U.S. | |
Population 16 Years and Over | 175, see rank | 4,512,525 | 243,810,053 |
Male1 | 93, 53.14%, see rank | 49.23% | 48.65% |
Male, In Labor Force:2 | 62, 66.67%, see rank | 72.39% | 70.20% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.15% | 0.82% |
Male, Civilian2 | 62, 66.67%, see rank | 72.24% | 69.38% |
Male, Civilian, Employed3 | 60, 96.77%, see rank | 91.60% | 90.27% |
Male, Civilian, Unemployed3 | 2, 3.23%, see rank | 8.40% | 9.73% |
Male, Not in Labor Force2 | 31, 33.33%, see rank | 27.61% | 29.80% |
Female1 | 82, 46.86%, see rank | 50.77% | 51.35% |
Female, In Labor Force:2 | 54, 65.85%, see rank | 64.71% | 59.43% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.03% | 0.13% |
Female, Civilian2 | 54, 65.85%, see rank | 64.68% | 59.30% |
Female, Civilian, Employed3 | 50, 92.59%, see rank | 93.55% | 91.21% |
Female, Civilian, Unemployed3 | 4, 7.41%, see rank | 6.45% | 8.79% |
Female, Not in Labor Force2 | 28, 34.15%, 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
Diamond Bluff, WI | Wisconsin | U.S. | |
Population 16 Years and Over | 181, see rank | 4,458,387 | 238,733,844 |
Male1 | 107, 59.12%, see rank | 49.20% | 48.60% |
Male, In Labor Force:2 | 68, 63.55%, see rank | 73.29% | 70.92% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.17% | 0.83% |
Male, Civilian2 | 68, 63.55%, see rank | 73.12% | 70.09% |
Male, Civilian, Employed3 | 59, 86.76%, see rank | 92.52% | 91.78% |
Male, Civilian, Unemployed3 | 9, 13.24%, see rank | 7.48% | 8.22% |
Male, Not in Labor Force2 | 39, 36.45%, see rank | 26.71% | 29.08% |
Female1 | 74, 40.88%, see rank | 50.80% | 51.40% |
Female, In Labor Force:2 | 57, 77.03%, see rank | 64.94% | 59.40% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.03% | 0.13% |
Female, Civilian2 | 57, 77.03%, see rank | 64.90% | 59.26% |
Female, Civilian, Employed3 | 52, 91.23%, see rank | 94.24% | 92.41% |
Female, Civilian, Unemployed3 | 5, 8.77%, see rank | 5.76% | 7.59% |
Female, Not in Labor Force2 | 17, 22.97%, 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.