59262 Zip Code Historical Employment Status Data
ACS 2010-2014 data
59262 Zip Code | Montana | U.S. | |
Population 16 Years and Over | 560, see rank | 807,917 | 248,775,628 |
Male1 | 304, 54.29%, see rank | 50.00% | 48.69% |
Male, In Labor Force:2 | 234, 76.97%, see rank | 68.59% | 69.28% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.69% | 0.73% |
Male, Civilian2 | 234, 76.97%, see rank | 67.89% | 68.54% |
Male, Civilian, Employed3 | 223, 95.30%, see rank | 92.12% | 90.49% |
Male, Civilian, Unemployed3 | 11, 4.70%, see rank | 7.88% | 9.51% |
Male, Not in Labor Force2 | 70, 23.03%, see rank | 31.41% | 30.72% |
Female1 | 256, 45.71%, see rank | 50.00% | 51.31% |
Female, In Labor Force:2 | 118, 46.09%, see rank | 60.09% | 58.79% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.15% | 0.11% |
Female, Civilian2 | 118, 46.09%, see rank | 59.94% | 58.69% |
Female, Civilian, Employed3 | 114, 96.61%, see rank | 94.35% | 91.18% |
Female, Civilian, Unemployed3 | 4, 3.39%, see rank | 5.65% | 8.82% |
Female, Not in Labor Force2 | 138, 53.91%, see rank | 39.91% | 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
59262 Zip Code | Montana | U.S. | |
Population 16 Years and Over | 602, see rank | 794,385 | 243,810,053 |
Male1 | 312, 51.83%, see rank | 49.90% | 48.65% |
Male, In Labor Force:2 | 271, 86.86%, see rank | 69.39% | 70.20% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.76% | 0.82% |
Male, Civilian2 | 271, 86.86%, see rank | 68.63% | 69.38% |
Male, Civilian, Employed3 | 260, 95.94%, see rank | 92.08% | 90.27% |
Male, Civilian, Unemployed3 | 11, 4.06%, see rank | 7.92% | 9.73% |
Male, Not in Labor Force2 | 41, 13.14%, see rank | 30.61% | 29.80% |
Female1 | 290, 48.17%, see rank | 50.10% | 51.35% |
Female, In Labor Force:2 | 127, 43.79%, see rank | 60.88% | 59.43% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.14% | 0.13% |
Female, Civilian2 | 127, 43.79%, see rank | 60.74% | 59.30% |
Female, Civilian, Employed3 | 122, 96.06%, see rank | 94.21% | 91.21% |
Female, Civilian, Unemployed3 | 5, 3.94%, see rank | 5.79% | 8.79% |
Female, Not in Labor Force2 | 163, 56.21%, see rank | 39.12% | 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
59262 Zip Code | Montana | U.S. | |
Population 16 Years and Over | 535, see rank | 701,168 | 217,168,077 |
Male1 | 279, 52.15%, see rank | 49.36% | 48.34% |
Male, In Labor Force:2 | 191, 68.46%, see rank | 70.95% | 70.75% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.89% | 0.94% |
Male, Civilian2 | 191, 68.46%, see rank | 70.06% | 69.81% |
Male, Civilian, Employed3 | 178, 93.19%, see rank | 92.76% | 94.28% |
Male, Civilian, Unemployed3 | 13, 6.81%, see rank | 7.24% | 5.72% |
Male, Not in Labor Force2 | 88, 31.54%, see rank | 29.05% | 29.25% |
Female1 | 256, 47.85%, see rank | 50.64% | 51.66% |
Female, In Labor Force:2 | 133, 51.95%, see rank | 59.91% | 57.54% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.15% | 0.15% |
Female, Civilian2 | 133, 51.95%, see rank | 59.76% | 57.39% |
Female, Civilian, Employed3 | 123, 92.48%, see rank | 94.74% | 94.17% |
Female, Civilian, Unemployed3 | 10, 7.52%, see rank | 5.26% | 5.83% |
Female, Not in Labor Force2 | 123, 48.05%, see rank | 40.09% | 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.