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14485 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,609

Median Age (see rank)

14485 Zip Code	41.40 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14485 Zip Code	42.70 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14485 Zip Code	41.10 years old
New York	39.60 years old
U.S.	38.80 years old

	14485 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	165	3.58%, see rank	5.97%	6.36%
5 to 9 years	269	5.84%, see rank	5.90%	6.51%
10 to 14 years	248	5.38%, see rank	6.07%	6.59%
15 to 19 years	439	9.52%, see rank	6.71%	6.85%
20 to 24 years	420	9.11%, see rank	7.33%	7.13%
25 to 34 years	417	9.05%, see rank	14.09%	13.47%
35 to 44 years	526	11.41%, see rank	13.02%	12.96%
45 to 54 years	687	14.91%, see rank	14.51%	14.09%
55 to 64 years	647	14.04%, see rank	12.35%	12.29%
65 to 74 years	484	10.50%, see rank	7.55%	7.64%
75 to 84	239	5.19%, see rank	4.42%	4.25%
85 years and over	68	1.48%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,267

Median Age (see rank)

14485 Zip Code	42.20 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14485 Zip Code	40.60 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14485 Zip Code	43.40 years old
New York	39.40 years old
U.S.	38.50 years old

	14485 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	228	5.34%, see rank	5.96%	6.54%
5 to 9 years	230	5.39%, see rank	6.01%	6.59%
10 to 14 years	286	6.70%, see rank	6.25%	6.70%
15 to 19 years	351	8.23%, see rank	7.05%	7.14%
20 to 24 years	294	6.89%, see rank	7.28%	6.99%
25 to 34 years	418	9.80%, see rank	13.72%	13.30%
35 to 44 years	509	11.93%, see rank	13.47%	13.30%
45 to 54 years	769	18.02%, see rank	14.86%	14.58%
55 to 64 years	596	13.97%, see rank	11.89%	11.82%
65 to 74 years	331	7.76%, see rank	7.02%	7.03%
75 to 84	182	4.27%, see rank	4.47%	4.23%
85 years and over	73	1.71%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,345

Median Age (see rank)

14485 Zip Code	40.60 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14485 Zip Code	40.40 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14485 Zip Code	41.20 years old
New York	39.40 years old
U.S.	38.50 years old

	14485 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	213	4.90%, see rank	5.98%	6.51%
5 to 9 years	252	5.80%, see rank	5.97%	6.57%
10 to 14 years	186	4.28%, see rank	6.25%	6.68%
15 to 19 years	485	11.16%, see rank	6.99%	7.09%
20 to 24 years	402	9.25%, see rank	7.27%	7.04%
25 to 34 years	353	8.12%, see rank	13.78%	13.32%
35 to 44 years	522	12.01%, see rank	13.50%	13.34%
45 to 54 years	660	15.19%, see rank	14.74%	14.44%
55 to 64 years	654	15.05%, see rank	11.91%	11.84%
65 to 74 years	368	8.47%, see rank	7.11%	7.12%
75 to 84	196	4.51%, see rank	4.49%	4.25%
85 years and over	54	1.24%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,593

Median Age (see rank)

14485 Zip Code	36.00 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14485 Zip Code	35.20 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14485 Zip Code	36.80 years old
New York	37.20 years old
U.S.	36.50 years old

	14485 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	212	4.62%, see rank	6.53%	6.81%
5 to 9 years	320	6.97%, see rank	7.12%	7.30%
10 to 14 years	356	7.75%, see rank	7.02%	7.29%
15 to 19 years	426	9.27%, see rank	6.78%	7.18%
20 to 24 years	385	8.38%, see rank	6.56%	6.74%
25 to 34 years	518	11.28%, see rank	14.53%	14.18%
35 to 44 years	819	17.83%, see rank	16.20%	16.04%
45 to 54 years	701	15.26%, see rank	13.45%	13.39%
55 to 64 years	392	8.53%, see rank	8.90%	8.63%
65 to 74 years	253	5.51%, see rank	6.72%	6.54%
75 to 84	153	3.33%, see rank	4.54%	4.39%
85 years and over	58	1.26%, 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.