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57750 Zip Code Historical Employment Status Data
ACS 2010-2014 data
57750 Zip Code | South Dakota | U.S. | |
Population 16 Years and Over | 394, see rank | 651,429 | 248,775,628 |
Male1 | 190, 48.22%, see rank | 49.87% | 48.69% |
Male, In Labor Force:2 | 116, 61.05%, see rank | 73.30% | 69.28% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.78% | 0.73% |
Male, Civilian2 | 116, 61.05%, see rank | 72.52% | 68.54% |
Male, Civilian, Employed3 | 85, 73.28%, see rank | 94.85% | 90.49% |
Male, Civilian, Unemployed3 | 31, 26.72%, see rank | 5.15% | 9.51% |
Male, Not in Labor Force2 | 74, 38.95%, see rank | 26.70% | 30.72% |
Female1 | 204, 51.78%, see rank | 50.13% | 51.31% |
Female, In Labor Force:2 | 135, 66.18%, see rank | 64.92% | 58.79% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.13% | 0.11% |
Female, Civilian2 | 135, 66.18%, see rank | 64.79% | 58.69% |
Female, Civilian, Employed3 | 102, 75.56%, see rank | 95.64% | 91.18% |
Female, Civilian, Unemployed3 | 33, 24.44%, see rank | 4.36% | 8.82% |
Female, Not in Labor Force2 | 69, 33.82%, see rank | 35.08% | 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
57750 Zip Code | South Dakota | U.S. | |
Population 16 Years and Over | 329, see rank | 636,670 | 243,810,053 |
Male1 | 174, 52.89%, see rank | 49.71% | 48.65% |
Male, In Labor Force:2 | 107, 61.49%, see rank | 73.43% | 70.20% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.88% | 0.82% |
Male, Civilian2 | 107, 61.49%, see rank | 72.55% | 69.38% |
Male, Civilian, Employed3 | 73, 68.22%, see rank | 94.55% | 90.27% |
Male, Civilian, Unemployed3 | 34, 31.78%, see rank | 5.45% | 9.73% |
Male, Not in Labor Force2 | 67, 38.51%, see rank | 26.57% | 29.80% |
Female1 | 155, 47.11%, see rank | 50.29% | 51.35% |
Female, In Labor Force:2 | 87, 56.13%, see rank | 65.39% | 59.43% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.19% | 0.13% |
Female, Civilian2 | 87, 56.13%, see rank | 65.20% | 59.30% |
Female, Civilian, Employed3 | 58, 66.67%, see rank | 95.61% | 91.21% |
Female, Civilian, Unemployed3 | 29, 33.33%, see rank | 4.39% | 8.79% |
Female, Not in Labor Force2 | 68, 43.87%, see rank | 34.61% | 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
57750 Zip Code | South Dakota | U.S. | |
Population 16 Years and Over | 233, see rank | 577,129 | 217,168,077 |
Male1 | 124, 53.22%, see rank | 49.08% | 48.34% |
Male, In Labor Force:2 | 74, 59.68%, see rank | 73.34% | 70.75% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 0.99% | 0.94% |
Male, Civilian2 | 74, 59.68%, see rank | 72.35% | 69.81% |
Male, Civilian, Employed3 | 70, 94.59%, see rank | 95.35% | 94.28% |
Male, Civilian, Unemployed3 | 4, 5.41%, see rank | 4.65% | 5.72% |
Male, Not in Labor Force2 | 50, 40.32%, see rank | 26.66% | 29.25% |
Female1 | 109, 46.78%, see rank | 50.92% | 51.66% |
Female, In Labor Force:2 | 60, 55.05%, see rank | 63.70% | 57.54% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.19% | 0.15% |
Female, Civilian2 | 60, 55.05%, see rank | 63.52% | 57.39% |
Female, Civilian, Employed3 | 55, 91.67%, see rank | 95.88% | 94.17% |
Female, Civilian, Unemployed3 | 5, 8.33%, see rank | 4.12% | 5.83% |
Female, Not in Labor Force2 | 49, 44.95%, see rank | 36.30% | 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.