83120 Zip Code Historical Employment Status Data
ACS 2010-2014 data
83120 Zip Code | Wyoming | U.S. | |
Population 16 Years and Over | 661, see rank | 453,096 | 248,775,628 |
Male1 | 276, 41.75%, see rank | 50.85% | 48.69% |
Male, In Labor Force:2 | 251, 90.94%, see rank | 73.80% | 69.28% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.91% | 0.73% |
Male, Civilian2 | 251, 90.94%, see rank | 72.90% | 68.54% |
Male, Civilian, Employed3 | 169, 67.33%, see rank | 94.40% | 90.49% |
Male, Civilian, Unemployed3 | 82, 32.67%, see rank | 5.60% | 9.51% |
Male, Not in Labor Force2 | 25, 9.06%, see rank | 26.20% | 30.72% |
Female1 | 385, 58.25%, see rank | 49.15% | 51.31% |
Female, In Labor Force:2 | 197, 51.17%, see rank | 62.86% | 58.79% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.19% | 0.11% |
Female, Civilian2 | 197, 51.17%, see rank | 62.66% | 58.69% |
Female, Civilian, Employed3 | 197, 100.00%, see rank | 95.30% | 91.18% |
Female, Civilian, Unemployed3 | 0, 0.00%, see rank | 4.70% | 8.82% |
Female, Not in Labor Force2 | 188, 48.83%, see rank | 37.14% | 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
83120 Zip Code | Wyoming | U.S. | |
Population 16 Years and Over | 489, see rank | 442,182 | 243,810,053 |
Male1 | 259, 52.97%, see rank | 50.75% | 48.65% |
Male, In Labor Force:2 | 208, 80.31%, see rank | 75.38% | 70.20% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 1.07% | 0.82% |
Male, Civilian2 | 208, 80.31%, see rank | 74.31% | 69.38% |
Male, Civilian, Employed3 | 190, 91.35%, see rank | 94.65% | 90.27% |
Male, Civilian, Unemployed3 | 18, 8.65%, see rank | 5.35% | 9.73% |
Male, Not in Labor Force2 | 51, 19.69%, see rank | 24.62% | 29.80% |
Female1 | 230, 47.03%, see rank | 49.25% | 51.35% |
Female, In Labor Force:2 | 154, 66.96%, see rank | 63.44% | 59.43% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.24% | 0.13% |
Female, Civilian2 | 154, 66.96%, see rank | 63.20% | 59.30% |
Female, Civilian, Employed3 | 154, 100.00%, see rank | 95.20% | 91.21% |
Female, Civilian, Unemployed3 | 0, 0.00%, see rank | 4.80% | 8.79% |
Female, Not in Labor Force2 | 76, 33.04%, see rank | 36.56% | 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
83120 Zip Code | Wyoming | U.S. | |
Population 16 Years and Over | 307, see rank | 381,912 | 217,168,077 |
Male1 | 139, 45.28%, see rank | 49.92% | 48.34% |
Male, In Labor Force:2 | 118, 84.89%, see rank | 73.70% | 70.75% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 1.46% | 0.94% |
Male, Civilian2 | 118, 84.89%, see rank | 72.24% | 69.81% |
Male, Civilian, Employed3 | 107, 90.68%, see rank | 94.40% | 94.28% |
Male, Civilian, Unemployed3 | 11, 9.32%, see rank | 5.60% | 5.72% |
Male, Not in Labor Force2 | 21, 15.11%, see rank | 26.30% | 29.25% |
Female1 | 168, 54.72%, see rank | 50.08% | 51.66% |
Female, In Labor Force:2 | 90, 53.57%, see rank | 61.33% | 57.54% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.27% | 0.15% |
Female, Civilian2 | 90, 53.57%, see rank | 61.06% | 57.39% |
Female, Civilian, Employed3 | 90, 100.00%, see rank | 95.08% | 94.17% |
Female, Civilian, Unemployed3 | 0, 0.00%, see rank | 4.92% | 5.83% |
Female, Not in Labor Force2 | 78, 46.43%, see rank | 38.67% | 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.