Churchill, MT Historical Employment Status Data
ACS 2010-2014 data
Churchill, MT | Montana | U.S. | |
Population 16 Years and Over | 705, see rank | 807,917 | 248,775,628 |
Male1 | 345, 48.94%, see rank | 50.00% | 48.69% |
Male, In Labor Force:2 | 262, 75.94%, see rank | 68.59% | 69.28% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.69% | 0.73% |
Male, Civilian2 | 262, 75.94%, see rank | 67.89% | 68.54% |
Male, Civilian, Employed3 | 238, 90.84%, see rank | 92.12% | 90.49% |
Male, Civilian, Unemployed3 | 24, 9.16%, see rank | 7.88% | 9.51% |
Male, Not in Labor Force2 | 83, 24.06%, see rank | 31.41% | 30.72% |
Female1 | 360, 51.06%, see rank | 50.00% | 51.31% |
Female, In Labor Force:2 | 192, 53.33%, see rank | 60.09% | 58.79% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.15% | 0.11% |
Female, Civilian2 | 192, 53.33%, see rank | 59.94% | 58.69% |
Female, Civilian, Employed3 | 185, 96.35%, see rank | 94.35% | 91.18% |
Female, Civilian, Unemployed3 | 7, 3.65%, see rank | 5.65% | 8.82% |
Female, Not in Labor Force2 | 168, 46.67%, 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
Churchill, MT | Montana | U.S. | |
Population 16 Years and Over | 744, see rank | 794,385 | 243,810,053 |
Male1 | 381, 51.21%, see rank | 49.90% | 48.65% |
Male, In Labor Force:2 | 273, 71.65%, see rank | 69.39% | 70.20% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.76% | 0.82% |
Male, Civilian2 | 273, 71.65%, see rank | 68.63% | 69.38% |
Male, Civilian, Employed3 | 254, 93.04%, see rank | 92.08% | 90.27% |
Male, Civilian, Unemployed3 | 19, 6.96%, see rank | 7.92% | 9.73% |
Male, Not in Labor Force2 | 108, 28.35%, see rank | 30.61% | 29.80% |
Female1 | 363, 48.79%, see rank | 50.10% | 51.35% |
Female, In Labor Force:2 | 208, 57.30%, see rank | 60.88% | 59.43% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.14% | 0.13% |
Female, Civilian2 | 208, 57.30%, see rank | 60.74% | 59.30% |
Female, Civilian, Employed3 | 205, 98.56%, see rank | 94.21% | 91.21% |
Female, Civilian, Unemployed3 | 3, 1.44%, see rank | 5.79% | 8.79% |
Female, Not in Labor Force2 | 155, 42.70%, 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.
ACS 2006-2010 data
Churchill, MT | Montana | U.S. | |
Population 16 Years and Over | 555, see rank | 778,518 | 238,733,844 |
Male1 | 271, 48.83%, see rank | 49.76% | 48.60% |
Male, In Labor Force:2 | 204, 75.28%, see rank | 69.84% | 70.92% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.83% | 0.83% |
Male, Civilian2 | 204, 75.28%, see rank | 69.01% | 70.09% |
Male, Civilian, Employed3 | 194, 95.10%, see rank | 93.45% | 91.78% |
Male, Civilian, Unemployed3 | 10, 4.90%, see rank | 6.55% | 8.22% |
Male, Not in Labor Force2 | 67, 24.72%, see rank | 30.16% | 29.08% |
Female1 | 284, 51.17%, see rank | 50.24% | 51.40% |
Female, In Labor Force:2 | 159, 55.99%, see rank | 60.87% | 59.40% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.13% | 0.13% |
Female, Civilian2 | 159, 55.99%, see rank | 60.74% | 59.26% |
Female, Civilian, Employed3 | 156, 98.11%, see rank | 95.30% | 92.41% |
Female, Civilian, Unemployed3 | 3, 1.89%, see rank | 4.70% | 7.59% |
Female, Not in Labor Force2 | 125, 44.01%, see rank | 39.13% | 40.60% |
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.