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13080 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 3,997

Median Age (see rank)

13080 Zip Code	42.10 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13080 Zip Code	40.40 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13080 Zip Code	42.90 years old
New York	39.60 years old
U.S.	38.80 years old

	13080 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	207	5.18%, see rank	5.97%	6.36%
5 to 9 years	316	7.91%, see rank	5.90%	6.51%
10 to 14 years	262	6.55%, see rank	6.07%	6.59%
15 to 19 years	227	5.68%, see rank	6.71%	6.85%
20 to 24 years	222	5.55%, see rank	7.33%	7.13%
25 to 34 years	445	11.13%, see rank	14.09%	13.47%
35 to 44 years	552	13.81%, see rank	13.02%	12.96%
45 to 54 years	750	18.76%, see rank	14.51%	14.09%
55 to 64 years	535	13.39%, see rank	12.35%	12.29%
65 to 74 years	266	6.65%, see rank	7.55%	7.64%
75 to 84	175	4.38%, see rank	4.42%	4.25%
85 years and over	40	1.00%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 3,631

Median Age (see rank)

13080 Zip Code	43.20 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13080 Zip Code	42.10 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13080 Zip Code	44.60 years old
New York	39.40 years old
U.S.	38.50 years old

	13080 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	183	5.04%, see rank	5.96%	6.54%
5 to 9 years	202	5.56%, see rank	6.01%	6.59%
10 to 14 years	249	6.86%, see rank	6.25%	6.70%
15 to 19 years	287	7.90%, see rank	7.05%	7.14%
20 to 24 years	193	5.32%, see rank	7.28%	6.99%
25 to 34 years	320	8.81%, see rank	13.72%	13.30%
35 to 44 years	461	12.70%, see rank	13.47%	13.30%
45 to 54 years	717	19.75%, see rank	14.86%	14.58%
55 to 64 years	488	13.44%, see rank	11.89%	11.82%
65 to 74 years	313	8.62%, see rank	7.02%	7.03%
75 to 84	164	4.52%, see rank	4.47%	4.23%
85 years and over	54	1.49%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 3,962

Median Age (see rank)

13080 Zip Code	41.20 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13080 Zip Code	36.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13080 Zip Code	44.30 years old
New York	39.40 years old
U.S.	38.50 years old

	13080 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	170	4.29%, see rank	5.98%	6.51%
5 to 9 years	290	7.32%, see rank	5.97%	6.57%
10 to 14 years	275	6.94%, see rank	6.25%	6.68%
15 to 19 years	280	7.07%, see rank	6.99%	7.09%
20 to 24 years	222	5.60%, see rank	7.27%	7.04%
25 to 34 years	477	12.04%, see rank	13.78%	13.32%
35 to 44 years	484	12.22%, see rank	13.50%	13.34%
45 to 54 years	731	18.45%, see rank	14.74%	14.44%
55 to 64 years	468	11.81%, see rank	11.91%	11.84%
65 to 74 years	368	9.29%, see rank	7.11%	7.12%
75 to 84	151	3.81%, see rank	4.49%	4.25%
85 years and over	46	1.16%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 3,553

Median Age (see rank)

13080 Zip Code	38.30 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13080 Zip Code	37.60 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13080 Zip Code	38.90 years old
New York	37.20 years old
U.S.	36.50 years old

	13080 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	210	5.91%, see rank	6.53%	6.81%
5 to 9 years	265	7.46%, see rank	7.12%	7.30%
10 to 14 years	328	9.23%, see rank	7.02%	7.29%
15 to 19 years	297	8.36%, see rank	6.78%	7.18%
20 to 24 years	121	3.41%, see rank	6.56%	6.74%
25 to 34 years	368	10.36%, see rank	14.53%	14.18%
35 to 44 years	652	18.35%, see rank	16.20%	16.04%
45 to 54 years	539	15.17%, see rank	13.45%	13.39%
55 to 64 years	335	9.43%, see rank	8.90%	8.63%
65 to 74 years	232	6.53%, see rank	6.72%	6.54%
75 to 84	151	4.25%, see rank	4.54%	4.39%
85 years and over	55	1.55%, 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.