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14422 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 2,432

Median Age (see rank)

14422 Zip Code	43.10 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14422 Zip Code	42.30 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14422 Zip Code	43.70 years old
New York	39.60 years old
U.S.	38.80 years old

	14422 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	119	4.89%, see rank	5.97%	6.36%
5 to 9 years	96	3.95%, see rank	5.90%	6.51%
10 to 14 years	154	6.33%, see rank	6.07%	6.59%
15 to 19 years	149	6.13%, see rank	6.71%	6.85%
20 to 24 years	181	7.44%, see rank	7.33%	7.13%
25 to 34 years	250	10.28%, see rank	14.09%	13.47%
35 to 44 years	342	14.06%, see rank	13.02%	12.96%
45 to 54 years	491	20.19%, see rank	14.51%	14.09%
55 to 64 years	325	13.36%, see rank	12.35%	12.29%
65 to 74 years	135	5.55%, see rank	7.55%	7.64%
75 to 84	153	6.29%, see rank	4.42%	4.25%
85 years and over	37	1.52%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 2,468

Median Age (see rank)

14422 Zip Code	41.90 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14422 Zip Code	41.70 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14422 Zip Code	42.10 years old
New York	39.40 years old
U.S.	38.50 years old

	14422 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	131	5.31%, see rank	5.96%	6.54%
5 to 9 years	145	5.88%, see rank	6.01%	6.59%
10 to 14 years	167	6.77%, see rank	6.25%	6.70%
15 to 19 years	188	7.62%, see rank	7.05%	7.14%
20 to 24 years	129	5.23%, see rank	7.28%	6.99%
25 to 34 years	238	9.64%, see rank	13.72%	13.30%
35 to 44 years	352	14.26%, see rank	13.47%	13.30%
45 to 54 years	463	18.76%, see rank	14.86%	14.58%
55 to 64 years	326	13.21%, see rank	11.89%	11.82%
65 to 74 years	214	8.67%, see rank	7.02%	7.03%
75 to 84	85	3.44%, see rank	4.47%	4.23%
85 years and over	30	1.22%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 2,425

Median Age (see rank)

14422 Zip Code	43.20 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14422 Zip Code	42.40 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14422 Zip Code	43.80 years old
New York	39.40 years old
U.S.	38.50 years old

	14422 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	114	4.70%, see rank	5.98%	6.51%
5 to 9 years	62	2.56%, see rank	5.97%	6.57%
10 to 14 years	194	8.00%, see rank	6.25%	6.68%
15 to 19 years	182	7.51%, see rank	6.99%	7.09%
20 to 24 years	211	8.70%, see rank	7.27%	7.04%
25 to 34 years	170	7.01%, see rank	13.78%	13.32%
35 to 44 years	351	14.47%, see rank	13.50%	13.34%
45 to 54 years	541	22.31%, see rank	14.74%	14.44%
55 to 64 years	324	13.36%, see rank	11.91%	11.84%
65 to 74 years	99	4.08%, see rank	7.11%	7.12%
75 to 84	112	4.62%, see rank	4.49%	4.25%
85 years and over	65	2.68%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 2,518

Median Age (see rank)

14422 Zip Code	36.00 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14422 Zip Code	36.10 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14422 Zip Code	35.80 years old
New York	37.20 years old
U.S.	36.50 years old

	14422 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	171	6.79%, see rank	6.53%	6.81%
5 to 9 years	188	7.47%, see rank	7.12%	7.30%
10 to 14 years	234	9.29%, see rank	7.02%	7.29%
15 to 19 years	203	8.06%, see rank	6.78%	7.18%
20 to 24 years	130	5.16%, see rank	6.56%	6.74%
25 to 34 years	297	11.80%, see rank	14.53%	14.18%
35 to 44 years	504	20.02%, see rank	16.20%	16.04%
45 to 54 years	361	14.34%, see rank	13.45%	13.39%
55 to 64 years	221	8.78%, see rank	8.90%	8.63%
65 to 74 years	123	4.88%, see rank	6.72%	6.54%
75 to 84	76	3.02%, see rank	4.54%	4.39%
85 years and over	10	0.40%, 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.