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13495 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 2,304

Median Age (see rank)

13495 Zip Code	34.20 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13495 Zip Code	32.40 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13495 Zip Code	39.60 years old
New York	39.60 years old
U.S.	38.80 years old

	13495 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	117	5.08%, see rank	5.97%	6.36%
5 to 9 years	121	5.25%, see rank	5.90%	6.51%
10 to 14 years	141	6.12%, see rank	6.07%	6.59%
15 to 19 years	86	3.73%, see rank	6.71%	6.85%
20 to 24 years	172	7.47%, see rank	7.33%	7.13%
25 to 34 years	526	22.83%, see rank	14.09%	13.47%
35 to 44 years	285	12.37%, see rank	13.02%	12.96%
45 to 54 years	220	9.55%, see rank	14.51%	14.09%
55 to 64 years	270	11.72%, see rank	12.35%	12.29%
65 to 74 years	154	6.68%, see rank	7.55%	7.64%
75 to 84	105	4.56%, see rank	4.42%	4.25%
85 years and over	107	4.64%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 2,144

Median Age (see rank)

13495 Zip Code	39.10 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13495 Zip Code	38.20 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13495 Zip Code	40.50 years old
New York	39.40 years old
U.S.	38.50 years old

	13495 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	121	5.64%, see rank	5.96%	6.54%
5 to 9 years	116	5.41%, see rank	6.01%	6.59%
10 to 14 years	143	6.67%, see rank	6.25%	6.70%
15 to 19 years	117	5.46%, see rank	7.05%	7.14%
20 to 24 years	149	6.95%, see rank	7.28%	6.99%
25 to 34 years	337	15.72%, see rank	13.72%	13.30%
35 to 44 years	242	11.29%, see rank	13.47%	13.30%
45 to 54 years	277	12.92%, see rank	14.86%	14.58%
55 to 64 years	297	13.85%, see rank	11.89%	11.82%
65 to 74 years	153	7.14%, see rank	7.02%	7.03%
75 to 84	128	5.97%, see rank	4.47%	4.23%
85 years and over	64	2.99%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 2,202

Median Age (see rank)

13495 Zip Code	37.70 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13495 Zip Code	33.30 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13495 Zip Code	40.60 years old
New York	39.40 years old
U.S.	38.50 years old

	13495 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	130	5.90%, see rank	5.98%	6.51%
5 to 9 years	129	5.86%, see rank	5.97%	6.57%
10 to 14 years	127	5.77%, see rank	6.25%	6.68%
15 to 19 years	128	5.81%, see rank	6.99%	7.09%
20 to 24 years	147	6.68%, see rank	7.27%	7.04%
25 to 34 years	394	17.89%, see rank	13.78%	13.32%
35 to 44 years	273	12.40%, see rank	13.50%	13.34%
45 to 54 years	224	10.17%, see rank	14.74%	14.44%
55 to 64 years	267	12.13%, see rank	11.91%	11.84%
65 to 74 years	175	7.95%, see rank	7.11%	7.12%
75 to 84	113	5.13%, see rank	4.49%	4.25%
85 years and over	95	4.31%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 2,271

Median Age (see rank)

13495 Zip Code	40.20 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13495 Zip Code	38.80 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13495 Zip Code	40.80 years old
New York	37.20 years old
U.S.	36.50 years old

	13495 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	120	5.28%, see rank	6.53%	6.81%
5 to 9 years	104	4.58%, see rank	7.12%	7.30%
10 to 14 years	192	8.45%, see rank	7.02%	7.29%
15 to 19 years	174	7.66%, see rank	6.78%	7.18%
20 to 24 years	141	6.21%, see rank	6.56%	6.74%
25 to 34 years	262	11.54%, see rank	14.53%	14.18%
35 to 44 years	290	12.77%, see rank	16.20%	16.04%
45 to 54 years	310	13.65%, see rank	13.45%	13.39%
55 to 64 years	198	8.72%, see rank	8.90%	8.63%
65 to 74 years	198	8.72%, see rank	6.72%	6.54%
75 to 84	224	9.86%, see rank	4.54%	4.39%
85 years and over	58	2.55%, 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.