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14423 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,828

Median Age (see rank)

14423 Zip Code	45.60 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14423 Zip Code	42.50 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14423 Zip Code	47.80 years old
New York	39.60 years old
U.S.	38.80 years old

	14423 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	259	5.36%, see rank	5.97%	6.36%
5 to 9 years	236	4.89%, see rank	5.90%	6.51%
10 to 14 years	232	4.81%, see rank	6.07%	6.59%
15 to 19 years	311	6.44%, see rank	6.71%	6.85%
20 to 24 years	445	9.22%, see rank	7.33%	7.13%
25 to 34 years	384	7.95%, see rank	14.09%	13.47%
35 to 44 years	497	10.29%, see rank	13.02%	12.96%
45 to 54 years	971	20.11%, see rank	14.51%	14.09%
55 to 64 years	722	14.95%, see rank	12.35%	12.29%
65 to 74 years	393	8.14%, see rank	7.55%	7.64%
75 to 84	267	5.53%, see rank	4.42%	4.25%
85 years and over	111	2.30%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,799

Median Age (see rank)

14423 Zip Code	43.40 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14423 Zip Code	42.40 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14423 Zip Code	44.30 years old
New York	39.40 years old
U.S.	38.50 years old

	14423 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	239	4.98%, see rank	5.96%	6.54%
5 to 9 years	295	6.15%, see rank	6.01%	6.59%
10 to 14 years	348	7.25%, see rank	6.25%	6.70%
15 to 19 years	326	6.79%, see rank	7.05%	7.14%
20 to 24 years	242	5.04%, see rank	7.28%	6.99%
25 to 34 years	458	9.54%, see rank	13.72%	13.30%
35 to 44 years	615	12.82%, see rank	13.47%	13.30%
45 to 54 years	926	19.30%, see rank	14.86%	14.58%
55 to 64 years	665	13.86%, see rank	11.89%	11.82%
65 to 74 years	401	8.36%, see rank	7.02%	7.03%
75 to 84	219	4.56%, see rank	4.47%	4.23%
85 years and over	65	1.35%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,739

Median Age (see rank)

14423 Zip Code	44.00 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14423 Zip Code	41.80 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14423 Zip Code	44.90 years old
New York	39.40 years old
U.S.	38.50 years old

	14423 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	212	4.47%, see rank	5.98%	6.51%
5 to 9 years	222	4.68%, see rank	5.97%	6.57%
10 to 14 years	299	6.31%, see rank	6.25%	6.68%
15 to 19 years	415	8.76%, see rank	6.99%	7.09%
20 to 24 years	259	5.47%, see rank	7.27%	7.04%
25 to 34 years	402	8.48%, see rank	13.78%	13.32%
35 to 44 years	630	13.29%, see rank	13.50%	13.34%
45 to 54 years	868	18.32%, see rank	14.74%	14.44%
55 to 64 years	746	15.74%, see rank	11.91%	11.84%
65 to 74 years	439	9.26%, see rank	7.11%	7.12%
75 to 84	140	2.95%, see rank	4.49%	4.25%
85 years and over	107	2.26%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,953

Median Age (see rank)

14423 Zip Code	37.00 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14423 Zip Code	36.20 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14423 Zip Code	37.70 years old
New York	37.20 years old
U.S.	36.50 years old

	14423 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	339	6.84%, see rank	6.53%	6.81%
5 to 9 years	350	7.07%, see rank	7.12%	7.30%
10 to 14 years	410	8.28%, see rank	7.02%	7.29%
15 to 19 years	381	7.69%, see rank	6.78%	7.18%
20 to 24 years	242	4.89%, see rank	6.56%	6.74%
25 to 34 years	583	11.77%, see rank	14.53%	14.18%
35 to 44 years	915	18.47%, see rank	16.20%	16.04%
45 to 54 years	710	14.33%, see rank	13.45%	13.39%
55 to 64 years	467	9.43%, see rank	8.90%	8.63%
65 to 74 years	332	6.70%, see rank	6.72%	6.54%
75 to 84	178	3.59%, see rank	4.54%	4.39%
85 years and over	46	0.93%, 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.