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13646 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 2,681

Median Age (see rank)

13646 Zip Code	36.30 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13646 Zip Code	35.80 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13646 Zip Code	36.90 years old
New York	39.60 years old
U.S.	38.80 years old

	13646 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	243	9.06%, see rank	5.97%	6.36%
5 to 9 years	233	8.69%, see rank	5.90%	6.51%
10 to 14 years	129	4.81%, see rank	6.07%	6.59%
15 to 19 years	130	4.85%, see rank	6.71%	6.85%
20 to 24 years	151	5.63%, see rank	7.33%	7.13%
25 to 34 years	420	15.67%, see rank	14.09%	13.47%
35 to 44 years	280	10.44%, see rank	13.02%	12.96%
45 to 54 years	279	10.41%, see rank	14.51%	14.09%
55 to 64 years	391	14.58%, see rank	12.35%	12.29%
65 to 74 years	258	9.62%, see rank	7.55%	7.64%
75 to 84	123	4.59%, see rank	4.42%	4.25%
85 years and over	44	1.64%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 2,211

Median Age (see rank)

13646 Zip Code	43.40 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13646 Zip Code	42.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13646 Zip Code	44.50 years old
New York	39.40 years old
U.S.	38.50 years old

	13646 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	148	6.69%, see rank	5.96%	6.54%
5 to 9 years	144	6.51%, see rank	6.01%	6.59%
10 to 14 years	129	5.83%, see rank	6.25%	6.70%
15 to 19 years	142	6.42%, see rank	7.05%	7.14%
20 to 24 years	102	4.61%, see rank	7.28%	6.99%
25 to 34 years	226	10.22%, see rank	13.72%	13.30%
35 to 44 years	267	12.08%, see rank	13.47%	13.30%
45 to 54 years	332	15.02%, see rank	14.86%	14.58%
55 to 64 years	340	15.38%, see rank	11.89%	11.82%
65 to 74 years	218	9.86%, see rank	7.02%	7.03%
75 to 84	131	5.92%, see rank	4.47%	4.23%
85 years and over	32	1.45%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 2,735

Median Age (see rank)

13646 Zip Code	38.20 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13646 Zip Code	37.30 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13646 Zip Code	39.50 years old
New York	39.40 years old
U.S.	38.50 years old

	13646 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	210	7.68%, see rank	5.98%	6.51%
5 to 9 years	228	8.34%, see rank	5.97%	6.57%
10 to 14 years	148	5.41%, see rank	6.25%	6.68%
15 to 19 years	143	5.23%, see rank	6.99%	7.09%
20 to 24 years	117	4.28%, see rank	7.27%	7.04%
25 to 34 years	411	15.03%, see rank	13.78%	13.32%
35 to 44 years	377	13.78%, see rank	13.50%	13.34%
45 to 54 years	306	11.19%, see rank	14.74%	14.44%
55 to 64 years	391	14.30%, see rank	11.91%	11.84%
65 to 74 years	221	8.08%, see rank	7.11%	7.12%
75 to 84	139	5.08%, see rank	4.49%	4.25%
85 years and over	44	1.61%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 2,239

Median Age (see rank)

13646 Zip Code	41.10 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13646 Zip Code	40.60 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13646 Zip Code	41.50 years old
New York	37.20 years old
U.S.	36.50 years old

	13646 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	118	5.27%, see rank	6.53%	6.81%
5 to 9 years	155	6.92%, see rank	7.12%	7.30%
10 to 14 years	175	7.82%, see rank	7.02%	7.29%
15 to 19 years	126	5.63%, see rank	6.78%	7.18%
20 to 24 years	104	4.64%, see rank	6.56%	6.74%
25 to 34 years	252	11.26%, see rank	14.53%	14.18%
35 to 44 years	341	15.23%, see rank	16.20%	16.04%
45 to 54 years	315	14.07%, see rank	13.45%	13.39%
55 to 64 years	266	11.88%, see rank	8.90%	8.63%
65 to 74 years	219	9.78%, see rank	6.72%	6.54%
75 to 84	137	6.12%, see rank	4.54%	4.39%
85 years and over	31	1.38%, 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.