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17355 Zip Code Historical Employment Status Data
ACS 2010-2014 data
17355 Zip Code | Pennsylvania | U.S. | |
Population 16 Years and Over | 187, see rank | 10,351,296 | 248,775,628 |
Male1 | 100, 53.48%, see rank | 48.30% | 48.69% |
Male, In Labor Force:2 | 80, 80.00%, see rank | 67.76% | 69.28% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.10% | 0.73% |
Male, Civilian2 | 80, 80.00%, see rank | 67.67% | 68.54% |
Male, Civilian, Employed3 | 74, 92.50%, see rank | 90.82% | 90.49% |
Male, Civilian, Unemployed3 | 6, 7.50%, see rank | 9.18% | 9.51% |
Male, Not in Labor Force2 | 20, 20.00%, see rank | 32.24% | 30.72% |
Female1 | 87, 46.52%, see rank | 51.70% | 51.31% |
Female, In Labor Force:2 | 59, 67.82%, see rank | 58.31% | 58.79% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.01% | 0.11% |
Female, Civilian2 | 59, 67.82%, see rank | 58.30% | 58.69% |
Female, Civilian, Employed3 | 53, 89.83%, see rank | 92.12% | 91.18% |
Female, Civilian, Unemployed3 | 6, 10.17%, see rank | 7.88% | 8.82% |
Female, Not in Labor Force2 | 28, 32.18%, see rank | 41.69% | 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
17355 Zip Code | Pennsylvania | U.S. | |
Population 16 Years and Over | 215, see rank | 10,265,643 | 243,810,053 |
Male1 | 124, 57.67%, see rank | 48.17% | 48.65% |
Male, In Labor Force:2 | 112, 90.32%, see rank | 68.43% | 70.20% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.15% | 0.82% |
Male, Civilian2 | 112, 90.32%, see rank | 68.27% | 69.38% |
Male, Civilian, Employed3 | 102, 91.07%, see rank | 90.86% | 90.27% |
Male, Civilian, Unemployed3 | 10, 8.93%, see rank | 9.14% | 9.73% |
Male, Not in Labor Force2 | 12, 9.68%, see rank | 31.57% | 29.80% |
Female1 | 91, 42.33%, see rank | 51.83% | 51.35% |
Female, In Labor Force:2 | 78, 85.71%, see rank | 58.33% | 59.43% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.02% | 0.13% |
Female, Civilian2 | 78, 85.71%, see rank | 58.31% | 59.30% |
Female, Civilian, Employed3 | 77, 98.72%, see rank | 92.27% | 91.21% |
Female, Civilian, Unemployed3 | 1, 1.28%, see rank | 7.73% | 8.79% |
Female, Not in Labor Force2 | 13, 14.29%, see rank | 41.67% | 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
17355 Zip Code | Pennsylvania | U.S. | |
Population 16 Years and Over | 213, see rank | 9,693,040 | 217,168,077 |
Male1 | 105, 49.30%, see rank | 47.45% | 48.34% |
Male, In Labor Force:2 | 87, 82.86%, see rank | 69.18% | 70.75% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.14% | 0.94% |
Male, Civilian2 | 87, 82.86%, see rank | 69.04% | 69.81% |
Male, Civilian, Employed3 | 80, 91.95%, see rank | 94.26% | 94.28% |
Male, Civilian, Unemployed3 | 7, 8.05%, see rank | 5.74% | 5.72% |
Male, Not in Labor Force2 | 18, 17.14%, see rank | 30.82% | 29.25% |
Female1 | 108, 50.70%, see rank | 52.55% | 51.66% |
Female, In Labor Force:2 | 82, 75.93%, see rank | 55.33% | 57.54% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.02% | 0.15% |
Female, Civilian2 | 82, 75.93%, see rank | 55.31% | 57.39% |
Female, Civilian, Employed3 | 80, 97.56%, see rank | 94.43% | 94.17% |
Female, Civilian, Unemployed3 | 2, 2.44%, see rank | 5.57% | 5.83% |
Female, Not in Labor Force2 | 26, 24.07%, see rank | 44.67% | 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.