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17518 Zip Code Historical Employment Status Data
ACS 2010-2014 data
17518 Zip Code | Pennsylvania | U.S. | |
Population 16 Years and Over | 964, see rank | 10,351,296 | 248,775,628 |
Male1 | 496, 51.45%, see rank | 48.30% | 48.69% |
Male, In Labor Force:2 | 332, 66.94%, see rank | 67.76% | 69.28% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.10% | 0.73% |
Male, Civilian2 | 332, 66.94%, see rank | 67.67% | 68.54% |
Male, Civilian, Employed3 | 309, 93.07%, see rank | 90.82% | 90.49% |
Male, Civilian, Unemployed3 | 23, 6.93%, see rank | 9.18% | 9.51% |
Male, Not in Labor Force2 | 164, 33.06%, see rank | 32.24% | 30.72% |
Female1 | 468, 48.55%, see rank | 51.70% | 51.31% |
Female, In Labor Force:2 | 206, 44.02%, see rank | 58.31% | 58.79% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.01% | 0.11% |
Female, Civilian2 | 206, 44.02%, see rank | 58.30% | 58.69% |
Female, Civilian, Employed3 | 200, 97.09%, see rank | 92.12% | 91.18% |
Female, Civilian, Unemployed3 | 6, 2.91%, see rank | 7.88% | 8.82% |
Female, Not in Labor Force2 | 262, 55.98%, 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
17518 Zip Code | Pennsylvania | U.S. | |
Population 16 Years and Over | 905, see rank | 10,265,643 | 243,810,053 |
Male1 | 478, 52.82%, see rank | 48.17% | 48.65% |
Male, In Labor Force:2 | 345, 72.18%, see rank | 68.43% | 70.20% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.15% | 0.82% |
Male, Civilian2 | 345, 72.18%, see rank | 68.27% | 69.38% |
Male, Civilian, Employed3 | 310, 89.86%, see rank | 90.86% | 90.27% |
Male, Civilian, Unemployed3 | 35, 10.14%, see rank | 9.14% | 9.73% |
Male, Not in Labor Force2 | 133, 27.82%, see rank | 31.57% | 29.80% |
Female1 | 427, 47.18%, see rank | 51.83% | 51.35% |
Female, In Labor Force:2 | 181, 42.39%, see rank | 58.33% | 59.43% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.02% | 0.13% |
Female, Civilian2 | 181, 42.39%, see rank | 58.31% | 59.30% |
Female, Civilian, Employed3 | 169, 93.37%, see rank | 92.27% | 91.21% |
Female, Civilian, Unemployed3 | 12, 6.63%, see rank | 7.73% | 8.79% |
Female, Not in Labor Force2 | 246, 57.61%, 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
17518 Zip Code | Pennsylvania | U.S. | |
Population 16 Years and Over | 831, see rank | 9,693,040 | 217,168,077 |
Male1 | 443, 53.31%, see rank | 47.45% | 48.34% |
Male, In Labor Force:2 | 364, 82.17%, see rank | 69.18% | 70.75% |
Male, In Armed Forces2 | 3, 0.68%, see rank | 0.14% | 0.94% |
Male, Civilian2 | 361, 81.49%, see rank | 69.04% | 69.81% |
Male, Civilian, Employed3 | 354, 98.06%, see rank | 94.26% | 94.28% |
Male, Civilian, Unemployed3 | 7, 1.94%, see rank | 5.74% | 5.72% |
Male, Not in Labor Force2 | 79, 17.83%, see rank | 30.82% | 29.25% |
Female1 | 388, 46.69%, see rank | 52.55% | 51.66% |
Female, In Labor Force:2 | 235, 60.57%, see rank | 55.33% | 57.54% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.02% | 0.15% |
Female, Civilian2 | 235, 60.57%, see rank | 55.31% | 57.39% |
Female, Civilian, Employed3 | 219, 93.19%, see rank | 94.43% | 94.17% |
Female, Civilian, Unemployed3 | 16, 6.81%, see rank | 5.57% | 5.83% |
Female, Not in Labor Force2 | 153, 39.43%, 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.