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13753 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 5,710

Median Age (see rank)

13753 Zip Code	28.90 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13753 Zip Code	26.90 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13753 Zip Code	31.40 years old
New York	39.60 years old
U.S.	38.80 years old

	13753 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	157	2.75%, see rank	5.97%	6.36%
5 to 9 years	200	3.50%, see rank	5.90%	6.51%
10 to 14 years	218	3.82%, see rank	6.07%	6.59%
15 to 19 years	1,204	21.09%, see rank	6.71%	6.85%
20 to 24 years	866	15.17%, see rank	7.33%	7.13%
25 to 34 years	542	9.49%, see rank	14.09%	13.47%
35 to 44 years	409	7.16%, see rank	13.02%	12.96%
45 to 54 years	591	10.35%, see rank	14.51%	14.09%
55 to 64 years	674	11.80%, see rank	12.35%	12.29%
65 to 74 years	386	6.76%, see rank	7.55%	7.64%
75 to 84	332	5.81%, see rank	4.42%	4.25%
85 years and over	131	2.29%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 5,848

Median Age (see rank)

13753 Zip Code	30.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13753 Zip Code	25.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13753 Zip Code	35.60 years old
New York	39.40 years old
U.S.	38.50 years old

	13753 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	197	3.37%, see rank	5.96%	6.54%
5 to 9 years	199	3.40%, see rank	6.01%	6.59%
10 to 14 years	194	3.32%, see rank	6.25%	6.70%
15 to 19 years	1,178	20.14%, see rank	7.05%	7.14%
20 to 24 years	884	15.12%, see rank	7.28%	6.99%
25 to 34 years	495	8.46%, see rank	13.72%	13.30%
35 to 44 years	449	7.68%, see rank	13.47%	13.30%
45 to 54 years	678	11.59%, see rank	14.86%	14.58%
55 to 64 years	653	11.17%, see rank	11.89%	11.82%
65 to 74 years	422	7.22%, see rank	7.02%	7.03%
75 to 84	336	5.75%, see rank	4.47%	4.23%
85 years and over	163	2.79%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 5,818

Median Age (see rank)

13753 Zip Code	37.10 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13753 Zip Code	35.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13753 Zip Code	40.90 years old
New York	39.40 years old
U.S.	38.50 years old

	13753 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	130	2.23%, see rank	5.98%	6.51%
5 to 9 years	128	2.20%, see rank	5.97%	6.57%
10 to 14 years	213	3.66%, see rank	6.25%	6.68%
15 to 19 years	975	16.76%, see rank	6.99%	7.09%
20 to 24 years	843	14.49%, see rank	7.27%	7.04%
25 to 34 years	535	9.20%, see rank	13.78%	13.32%
35 to 44 years	365	6.27%, see rank	13.50%	13.34%
45 to 54 years	740	12.72%, see rank	14.74%	14.44%
55 to 64 years	796	13.68%, see rank	11.91%	11.84%
65 to 74 years	513	8.82%, see rank	7.11%	7.12%
75 to 84	400	6.88%, see rank	4.49%	4.25%
85 years and over	180	3.09%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 5,474

Median Age (see rank)

13753 Zip Code	35.40 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13753 Zip Code	30.30 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13753 Zip Code	39.40 years old
New York	37.20 years old
U.S.	36.50 years old

	13753 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	178	3.25%, see rank	6.53%	6.81%
5 to 9 years	264	4.82%, see rank	7.12%	7.30%
10 to 14 years	290	5.30%, see rank	7.02%	7.29%
15 to 19 years	937	17.12%, see rank	6.78%	7.18%
20 to 24 years	626	11.44%, see rank	6.56%	6.74%
25 to 34 years	417	7.62%, see rank	14.53%	14.18%
35 to 44 years	626	11.44%, see rank	16.20%	16.04%
45 to 54 years	707	12.92%, see rank	13.45%	13.39%
55 to 64 years	493	9.01%, see rank	8.90%	8.63%
65 to 74 years	452	8.26%, see rank	6.72%	6.54%
75 to 84	287	5.24%, see rank	4.54%	4.39%
85 years and over	197	3.60%, see rank	1.64%	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.