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20005 Zip Code Historical Age Data

 

ACS 2010-2014 data

Total population: 12,497

Median Age (see rank)
20005 Zip Code
33.60 years old
District of Columbia
33.70 years old
U.S.
37.40 years old

Median Age, Male (see rank)
20005 Zip Code
35.00 years old
District of Columbia
33.50 years old
U.S.
36.10 years old

Median Age, Female (see rank)
20005 Zip Code
31.30 years old
District of Columbia
33.90 years old
U.S.
38.80 years old

 20005 Zip Code% of the Total PopulationDistrict of ColumbiaU.S.
Under 5 years1601.28%, see rank6.08%6.36%
5 to 9 years1170.94%, see rank4.64%6.51%
10 to 14 years1691.35%, see rank3.80%6.59%
15 to 19 years2391.91%, see rank6.14%6.85%
20 to 24 years7816.25%, see rank9.48%7.13%
25 to 34 years5,36642.94%, see rank22.13%13.47%
35 to 44 years2,01016.08%, see rank13.73%12.96%
45 to 54 years1,55212.42%, see rank12.04%14.09%
55 to 64 years1,0498.39%, see rank10.64%12.29%
65 to 74 years7035.63%, see rank6.26%7.64%
75 to 84 2401.92%, see rank3.43%4.25%
85 years and over1110.89%, see rank1.63%1.85%

US Census 2010 data

Total population: 12,775

Median Age (see rank)
20005 Zip Code
32.50 years old
District of Columbia
33.80 years old
U.S.
37.20 years old

Median Age, Male (see rank)
20005 Zip Code
34.00 years old
District of Columbia
33.60 years old
U.S.
35.80 years old

Median Age, Female (see rank)
20005 Zip Code
30.90 years old
District of Columbia
34.00 years old
U.S.
38.50 years old

 20005 Zip Code% of the Total PopulationDistrict of ColumbiaU.S.
Under 5 years3482.72%, see rank5.42%6.54%
5 to 9 years1641.28%, see rank4.35%6.59%
10 to 14 years1160.91%, see rank4.16%6.70%
15 to 19 years1531.20%, see rank6.63%7.14%
20 to 24 years1,34310.51%, see rank10.65%6.99%
25 to 34 years5,18740.60%, see rank20.73%13.30%
35 to 44 years2,23417.49%, see rank13.40%13.30%
45 to 54 years1,37210.74%, see rank12.58%14.58%
55 to 64 years9577.49%, see rank10.63%11.82%
65 to 74 years5164.04%, see rank6.14%7.03%
75 to 84 2141.68%, see rank3.58%4.23%
85 years and over1711.34%, see rank1.71%1.78%

ACS 2008-2012 data

Total population: 12,062

Median Age (see rank)
20005 Zip Code
34.00 years old
District of Columbia
33.90 years old
U.S.
37.20 years old

Median Age, Male (see rank)
20005 Zip Code
34.90 years old
District of Columbia
33.70 years old
U.S.
35.80 years old

Median Age, Female (see rank)
20005 Zip Code
32.10 years old
District of Columbia
34.10 years old
U.S.
38.50 years old

 20005 Zip Code% of the Total PopulationDistrict of ColumbiaU.S.
Under 5 years1070.89%, see rank5.73%6.51%
5 to 9 years1981.64%, see rank4.45%6.57%
10 to 14 years1160.96%, see rank4.18%6.68%
15 to 19 years3753.11%, see rank6.93%7.09%
20 to 24 years9828.14%, see rank9.80%7.04%
25 to 34 years4,64538.51%, see rank20.75%13.32%
35 to 44 years2,26518.78%, see rank13.58%13.34%
45 to 54 years1,40911.68%, see rank12.48%14.44%
55 to 64 years1,0068.34%, see rank10.70%11.84%
65 to 74 years6185.12%, see rank6.14%7.12%
75 to 84 2191.82%, see rank3.60%4.25%
85 years and over1221.01%, see rank1.66%1.78%

US Census 2000 data

Total population: 10,610

Median Age (see rank)
20005 Zip Code
33.30 years old
District of Columbia
34.60 years old
U.S.
35.30 years old

Median Age, Male (see rank)
20005 Zip Code
33.00 years old
District of Columbia
33.70 years old
U.S.
34.00 years old

Median Age, Female (see rank)
20005 Zip Code
33.60 years old
District of Columbia
35.60 years old
U.S.
36.50 years old

 20005 Zip Code% of the Total PopulationDistrict of ColumbiaU.S.
Under 5 years3803.58%, see rank5.69%6.81%
5 to 9 years3253.06%, see rank6.19%7.30%
10 to 14 years2101.98%, see rank5.25%7.29%
15 to 19 years3563.36%, see rank6.62%7.18%
20 to 24 years1,32512.49%, see rank9.06%6.74%
25 to 34 years3,12429.44%, see rank17.79%14.18%
35 to 44 years1,95318.41%, see rank15.33%16.04%
45 to 54 years1,26111.89%, see rank13.16%13.39%
55 to 64 years6726.33%, see rank8.70%8.63%
65 to 74 years4974.68%, see rank6.28%6.54%
75 to 84 3333.14%, see rank4.37%4.39%
85 years and over1741.64%, see rank1.57%1.51%

* 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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