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Davenport, Moline, Rock Island Metro Area Historical Employment Status Data

 

ACS 2010-2014 data

 Davenport, Moline, Rock Island Area%U.S.
Population 16 Years and Over302,853 see rank248,775,628
Male1147,37748.66%, see rank48.69%
Male, In Labor Force:2101,75769.05%, see rank69.28%
Male, In Armed Forces23020.20%, see rank0.73%
Male, Civilian2101,45568.84%, see rank68.54%
Male, Civilian, Employed394,10092.75%, see rank90.49%
Male, Civilian, Unemployed37,3557.25%, see rank9.51%
Male, Not in Labor Force245,62030.95%, see rank30.72%
Female1155,47651.34%, see rank51.31%
Female, In Labor Force:293,51960.15%, see rank58.79%
Female, In Armed Forces2620.04%, see rank0.11%
Female, Civilian293,45760.11%, see rank58.69%
Female, Civilian, Employed387,64893.78%, see rank91.18%
Female, Civilian, Unemployed35,8096.22%, see rank8.82%
Female, Not in Labor Force261,95739.85%, see rank41.21%
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.

ACS 2008-2012 data

 Davenport, Moline, Rock Island Area%U.S.
Population 16 Years and Over300,099 see rank243,810,053
Male1145,66348.54%, see rank48.65%
Male, In Labor Force:2101,98270.01%, see rank70.20%
Male, In Armed Forces24360.30%, see rank0.82%
Male, Civilian2101,54669.71%, see rank69.38%
Male, Civilian, Employed394,48793.05%, see rank90.27%
Male, Civilian, Unemployed37,0596.95%, see rank9.73%
Male, Not in Labor Force243,68129.99%, see rank29.80%
Female1154,43651.46%, see rank51.35%
Female, In Labor Force:294,70161.32%, see rank59.43%
Female, In Armed Forces21520.10%, see rank0.13%
Female, Civilian294,54961.22%, see rank59.30%
Female, Civilian, Employed388,86593.99%, see rank91.21%
Female, Civilian, Unemployed35,6846.01%, see rank8.79%
Female, Not in Labor Force259,73538.68%, see rank40.57%
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.

ACS 2006-2010 data

 Davenport, Moline, Rock Island Area%U.S.
Population 16 Years and Over297,284 see rank238,733,844
Male1144,23148.52%, see rank48.60%
Male, In Labor Force:2102,12770.81%, see rank70.92%
Male, In Armed Forces23960.27%, see rank0.83%
Male, Civilian2101,73170.53%, see rank70.09%
Male, Civilian, Employed395,04293.42%, see rank91.78%
Male, Civilian, Unemployed36,6896.58%, see rank8.22%
Male, Not in Labor Force242,10429.19%, see rank29.08%
Female1153,05351.48%, see rank51.40%
Female, In Labor Force:293,88461.34%, see rank59.40%
Female, In Armed Forces21120.07%, see rank0.13%
Female, Civilian293,77261.27%, see rank59.26%
Female, Civilian, Employed388,02093.87%, see rank92.41%
Female, Civilian, Unemployed35,7526.13%, see rank7.59%
Female, Not in Labor Force259,16938.66%, see rank40.60%
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.

ACS 2005-2009 data

 Davenport, Moline, Rock Island Area%U.S.
Population 16 Years and Over296,210 see rank235,871,704
Male1143,45348.43%, see rank48.74%
Male, In Labor Force:2102,63771.55%, see rank71.28%
Male, In Armed Forces24980.35%, see rank0.84%
Male, Civilian2102,13971.20%, see rank70.44%
Male, Civilian, Employed395,55893.56%, see rank92.66%
Male, Civilian, Unemployed36,5816.44%, see rank7.34%
Male, Not in Labor Force240,81628.45%, see rank28.72%
Female1152,75751.57%, see rank51.26%
Female, In Labor Force:294,25661.70%, see rank59.10%
Female, In Armed Forces2900.06%, see rank0.14%
Female, Civilian294,16661.64%, see rank58.96%
Female, Civilian, Employed388,63394.12%, see rank92.95%
Female, Civilian, Unemployed35,5335.88%, see rank7.05%
Female, Not in Labor Force258,50138.30%, see rank40.90%
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.

* 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.


 
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