45841 Zip Code Historical Employment Status Data
ACS 2010-2014 data
45841 Zip Code | Ohio | U.S. | |
Population 16 Years and Over | 644, see rank | 9,197,668 | 248,775,628 |
Male1 | 346, 53.73%, see rank | 48.30% | 48.69% |
Male, In Labor Force:2 | 285, 82.37%, see rank | 68.34% | 69.28% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.17% | 0.73% |
Male, Civilian2 | 285, 82.37%, see rank | 68.17% | 68.54% |
Male, Civilian, Employed3 | 285, 100.00%, see rank | 90.09% | 90.49% |
Male, Civilian, Unemployed3 | 0, 0.00%, see rank | 9.91% | 9.51% |
Male, Not in Labor Force2 | 61, 17.63%, see rank | 31.66% | 30.72% |
Female1 | 298, 46.27%, see rank | 51.70% | 51.31% |
Female, In Labor Force:2 | 186, 62.42%, see rank | 59.15% | 58.79% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.03% | 0.11% |
Female, Civilian2 | 186, 62.42%, see rank | 59.12% | 58.69% |
Female, Civilian, Employed3 | 184, 98.92%, see rank | 91.59% | 91.18% |
Female, Civilian, Unemployed3 | 2, 1.08%, see rank | 8.41% | 8.82% |
Female, Not in Labor Force2 | 112, 37.58%, see rank | 40.85% | 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
45841 Zip Code | Ohio | U.S. | |
Population 16 Years and Over | 521, see rank | 9,138,488 | 243,810,053 |
Male1 | 267, 51.25%, see rank | 48.21% | 48.65% |
Male, In Labor Force:2 | 228, 85.39%, see rank | 69.24% | 70.20% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.21% | 0.82% |
Male, Civilian2 | 228, 85.39%, see rank | 69.03% | 69.38% |
Male, Civilian, Employed3 | 227, 99.56%, see rank | 89.43% | 90.27% |
Male, Civilian, Unemployed3 | 1, 0.44%, see rank | 10.57% | 9.73% |
Male, Not in Labor Force2 | 39, 14.61%, see rank | 30.76% | 29.80% |
Female1 | 254, 48.75%, see rank | 51.79% | 51.35% |
Female, In Labor Force:2 | 166, 65.35%, see rank | 59.80% | 59.43% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.04% | 0.13% |
Female, Civilian2 | 166, 65.35%, see rank | 59.76% | 59.30% |
Female, Civilian, Employed3 | 165, 99.40%, see rank | 91.24% | 91.21% |
Female, Civilian, Unemployed3 | 1, 0.60%, see rank | 8.76% | 8.79% |
Female, Not in Labor Force2 | 88, 34.65%, see rank | 40.20% | 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.
US Census 2000 data
45841 Zip Code | Ohio | U.S. | |
Population 16 Years and Over | 734, see rank | 8,788,494 | 217,168,077 |
Male1 | 390, 53.13%, see rank | 47.75% | 48.34% |
Male, In Labor Force:2 | 311, 79.74%, see rank | 71.67% | 70.75% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.20% | 0.94% |
Male, Civilian2 | 311, 79.74%, see rank | 71.47% | 69.81% |
Male, Civilian, Employed3 | 304, 97.75%, see rank | 94.86% | 94.28% |
Male, Civilian, Unemployed3 | 7, 2.25%, see rank | 5.14% | 5.72% |
Male, Not in Labor Force2 | 79, 20.26%, see rank | 28.33% | 29.25% |
Female1 | 344, 46.87%, see rank | 52.25% | 51.66% |
Female, In Labor Force:2 | 227, 65.99%, see rank | 58.52% | 57.54% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.04% | 0.15% |
Female, Civilian2 | 227, 65.99%, see rank | 58.48% | 57.39% |
Female, Civilian, Employed3 | 227, 100.00%, see rank | 95.22% | 94.17% |
Female, Civilian, Unemployed3 | 0, 0.00%, see rank | 4.78% | 5.83% |
Female, Not in Labor Force2 | 117, 34.01%, see rank | 41.48% | 42.46% |
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.