45776 Zip Code Historical Employment Status Data
ACS 2010-2014 data
45776 Zip Code | Ohio | U.S. | |
Population 16 Years and Over | 447, see rank | 9,197,668 | 248,775,628 |
Male1 | 200, 44.74%, see rank | 48.30% | 48.69% |
Male, In Labor Force:2 | 162, 81.00%, see rank | 68.34% | 69.28% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.17% | 0.73% |
Male, Civilian2 | 162, 81.00%, see rank | 68.17% | 68.54% |
Male, Civilian, Employed3 | 162, 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 | 38, 19.00%, see rank | 31.66% | 30.72% |
Female1 | 247, 55.26%, see rank | 51.70% | 51.31% |
Female, In Labor Force:2 | 144, 58.30%, see rank | 59.15% | 58.79% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.03% | 0.11% |
Female, Civilian2 | 144, 58.30%, see rank | 59.12% | 58.69% |
Female, Civilian, Employed3 | 144, 100.00%, see rank | 91.59% | 91.18% |
Female, Civilian, Unemployed3 | 0, 0.00%, see rank | 8.41% | 8.82% |
Female, Not in Labor Force2 | 103, 41.70%, 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
45776 Zip Code | Ohio | U.S. | |
Population 16 Years and Over | 537, see rank | 9,138,488 | 243,810,053 |
Male1 | 242, 45.07%, see rank | 48.21% | 48.65% |
Male, In Labor Force:2 | 201, 83.06%, see rank | 69.24% | 70.20% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.21% | 0.82% |
Male, Civilian2 | 201, 83.06%, see rank | 69.03% | 69.38% |
Male, Civilian, Employed3 | 158, 78.61%, see rank | 89.43% | 90.27% |
Male, Civilian, Unemployed3 | 43, 21.39%, see rank | 10.57% | 9.73% |
Male, Not in Labor Force2 | 41, 16.94%, see rank | 30.76% | 29.80% |
Female1 | 295, 54.93%, see rank | 51.79% | 51.35% |
Female, In Labor Force:2 | 190, 64.41%, see rank | 59.80% | 59.43% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.04% | 0.13% |
Female, Civilian2 | 190, 64.41%, see rank | 59.76% | 59.30% |
Female, Civilian, Employed3 | 182, 95.79%, see rank | 91.24% | 91.21% |
Female, Civilian, Unemployed3 | 8, 4.21%, see rank | 8.76% | 8.79% |
Female, Not in Labor Force2 | 105, 35.59%, 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
45776 Zip Code | Ohio | U.S. | |
Population 16 Years and Over | 543, see rank | 8,788,494 | 217,168,077 |
Male1 | 268, 49.36%, see rank | 47.75% | 48.34% |
Male, In Labor Force:2 | 193, 72.01%, see rank | 71.67% | 70.75% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.20% | 0.94% |
Male, Civilian2 | 193, 72.01%, see rank | 71.47% | 69.81% |
Male, Civilian, Employed3 | 187, 96.89%, see rank | 94.86% | 94.28% |
Male, Civilian, Unemployed3 | 6, 3.11%, see rank | 5.14% | 5.72% |
Male, Not in Labor Force2 | 75, 27.99%, see rank | 28.33% | 29.25% |
Female1 | 275, 50.64%, see rank | 52.25% | 51.66% |
Female, In Labor Force:2 | 139, 50.55%, see rank | 58.52% | 57.54% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.04% | 0.15% |
Female, Civilian2 | 139, 50.55%, see rank | 58.48% | 57.39% |
Female, Civilian, Employed3 | 131, 94.24%, see rank | 95.22% | 94.17% |
Female, Civilian, Unemployed3 | 8, 5.76%, see rank | 4.78% | 5.83% |
Female, Not in Labor Force2 | 136, 49.45%, 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.