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14067 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 5,456

Median Age (see rank)

14067 Zip Code	41.10 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14067 Zip Code	40.60 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14067 Zip Code	43.70 years old
New York	39.60 years old
U.S.	38.80 years old

	14067 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	360	6.60%, see rank	5.97%	6.36%
5 to 9 years	506	9.27%, see rank	5.90%	6.51%
10 to 14 years	363	6.65%, see rank	6.07%	6.59%
15 to 19 years	340	6.23%, see rank	6.71%	6.85%
20 to 24 years	173	3.17%, see rank	7.33%	7.13%
25 to 34 years	554	10.15%, see rank	14.09%	13.47%
35 to 44 years	624	11.44%, see rank	13.02%	12.96%
45 to 54 years	884	16.20%, see rank	14.51%	14.09%
55 to 64 years	850	15.58%, see rank	12.35%	12.29%
65 to 74 years	579	10.61%, see rank	7.55%	7.64%
75 to 84	139	2.55%, see rank	4.42%	4.25%
85 years and over	84	1.54%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 5,040

Median Age (see rank)

14067 Zip Code	42.10 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14067 Zip Code	41.40 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14067 Zip Code	42.80 years old
New York	39.40 years old
U.S.	38.50 years old

	14067 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	267	5.30%, see rank	5.96%	6.54%
5 to 9 years	354	7.02%, see rank	6.01%	6.59%
10 to 14 years	348	6.90%, see rank	6.25%	6.70%
15 to 19 years	352	6.98%, see rank	7.05%	7.14%
20 to 24 years	223	4.42%, see rank	7.28%	6.99%
25 to 34 years	520	10.32%, see rank	13.72%	13.30%
35 to 44 years	659	13.08%, see rank	13.47%	13.30%
45 to 54 years	915	18.15%, see rank	14.86%	14.58%
55 to 64 years	683	13.55%, see rank	11.89%	11.82%
65 to 74 years	397	7.88%, see rank	7.02%	7.03%
75 to 84	229	4.54%, see rank	4.47%	4.23%
85 years and over	93	1.85%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 5,038

Median Age (see rank)

14067 Zip Code	42.20 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14067 Zip Code	41.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14067 Zip Code	42.80 years old
New York	39.40 years old
U.S.	38.50 years old

	14067 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	435	8.63%, see rank	5.98%	6.51%
5 to 9 years	349	6.93%, see rank	5.97%	6.57%
10 to 14 years	281	5.58%, see rank	6.25%	6.68%
15 to 19 years	241	4.78%, see rank	6.99%	7.09%
20 to 24 years	95	1.89%, see rank	7.27%	7.04%
25 to 34 years	594	11.79%, see rank	13.78%	13.32%
35 to 44 years	769	15.26%, see rank	13.50%	13.34%
45 to 54 years	806	16.00%, see rank	14.74%	14.44%
55 to 64 years	665	13.20%, see rank	11.91%	11.84%
65 to 74 years	545	10.82%, see rank	7.11%	7.12%
75 to 84	128	2.54%, see rank	4.49%	4.25%
85 years and over	130	2.58%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 5,128

Median Age (see rank)

14067 Zip Code	37.50 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14067 Zip Code	37.00 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14067 Zip Code	37.90 years old
New York	37.20 years old
U.S.	36.50 years old

	14067 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	302	5.89%, see rank	6.53%	6.81%
5 to 9 years	376	7.33%, see rank	7.12%	7.30%
10 to 14 years	405	7.90%, see rank	7.02%	7.29%
15 to 19 years	387	7.55%, see rank	6.78%	7.18%
20 to 24 years	229	4.47%, see rank	6.56%	6.74%
25 to 34 years	659	12.85%, see rank	14.53%	14.18%
35 to 44 years	875	17.06%, see rank	16.20%	16.04%
45 to 54 years	747	14.57%, see rank	13.45%	13.39%
55 to 64 years	517	10.08%, see rank	8.90%	8.63%
65 to 74 years	344	6.71%, see rank	6.72%	6.54%
75 to 84	212	4.13%, see rank	4.54%	4.39%
85 years and over	75	1.46%, 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.