Olinda, HI Historical Employment Status Data
ACS 2010-2014 data
Olinda, HI | Hawaii | U.S. | |
Population 16 Years and Over | 1,093, see rank | 1,118,419 | 248,775,628 |
Male1 | 601, 54.99%, see rank | 50.12% | 48.69% |
Male, In Labor Force:2 | 441, 73.38%, see rank | 70.81% | 69.28% |
Male, In Armed Forces2 | 5, 0.83%, see rank | 6.31% | 0.73% |
Male, Civilian2 | 436, 72.55%, see rank | 64.50% | 68.54% |
Male, Civilian, Employed3 | 333, 76.38%, see rank | 92.71% | 90.49% |
Male, Civilian, Unemployed3 | 103, 23.62%, see rank | 7.29% | 9.51% |
Male, Not in Labor Force2 | 160, 26.62%, see rank | 29.19% | 30.72% |
Female1 | 492, 45.01%, see rank | 49.88% | 51.31% |
Female, In Labor Force:2 | 307, 62.40%, see rank | 59.96% | 58.79% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.75% | 0.11% |
Female, Civilian2 | 307, 62.40%, see rank | 59.21% | 58.69% |
Female, Civilian, Employed3 | 262, 85.34%, see rank | 93.97% | 91.18% |
Female, Civilian, Unemployed3 | 45, 14.66%, see rank | 6.03% | 8.82% |
Female, Not in Labor Force2 | 185, 37.60%, see rank | 40.04% | 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
Olinda, HI | Hawaii | U.S. | |
Population 16 Years and Over | 993, see rank | 1,093,852 | 243,810,053 |
Male1 | 493, 49.65%, see rank | 49.83% | 48.65% |
Male, In Labor Force:2 | 365, 74.04%, see rank | 71.92% | 70.20% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 6.28% | 0.82% |
Male, Civilian2 | 365, 74.04%, see rank | 65.64% | 69.38% |
Male, Civilian, Employed3 | 322, 88.22%, see rank | 92.42% | 90.27% |
Male, Civilian, Unemployed3 | 43, 11.78%, see rank | 7.58% | 9.73% |
Male, Not in Labor Force2 | 128, 25.96%, see rank | 28.08% | 29.80% |
Female1 | 500, 50.35%, see rank | 50.17% | 51.35% |
Female, In Labor Force:2 | 322, 64.40%, see rank | 61.18% | 59.43% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 0.91% | 0.13% |
Female, Civilian2 | 322, 64.40%, see rank | 60.27% | 59.30% |
Female, Civilian, Employed3 | 314, 97.52%, see rank | 94.23% | 91.21% |
Female, Civilian, Unemployed3 | 8, 2.48%, see rank | 5.77% | 8.79% |
Female, Not in Labor Force2 | 178, 35.60%, see rank | 38.82% | 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
Olinda, HI | Hawaii | U.S. | |
Population 16 Years and Over | 1,113, see rank | 1,068,287 | 238,733,844 |
Male1 | 522, 46.90%, see rank | 49.73% | 48.60% |
Male, In Labor Force:2 | 460, 88.12%, see rank | 72.46% | 70.92% |
Male, In Armed Forces2 | 0, 0.00%, see rank | 6.42% | 0.83% |
Male, Civilian2 | 460, 88.12%, see rank | 66.04% | 70.09% |
Male, Civilian, Employed3 | 410, 89.13%, see rank | 93.58% | 91.78% |
Male, Civilian, Unemployed3 | 50, 10.87%, see rank | 6.42% | 8.22% |
Male, Not in Labor Force2 | 62, 11.88%, see rank | 27.54% | 29.08% |
Female1 | 591, 53.10%, see rank | 50.27% | 51.40% |
Female, In Labor Force:2 | 430, 72.76%, see rank | 61.29% | 59.40% |
Female, In Armed Forces2 | 0, 0.00%, see rank | 1.03% | 0.13% |
Female, Civilian2 | 430, 72.76%, see rank | 60.26% | 59.26% |
Female, Civilian, Employed3 | 430, 100.00%, see rank | 95.21% | 92.41% |
Female, Civilian, Unemployed3 | 0, 0.00%, see rank | 4.79% | 7.59% |
Female, Not in Labor Force2 | 161, 27.24%, see rank | 38.71% | 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.