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14867 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 5,738

Median Age (see rank)

14867 Zip Code	35.80 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14867 Zip Code	31.30 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14867 Zip Code	41.40 years old
New York	39.60 years old
U.S.	38.80 years old

	14867 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	450	7.84%, see rank	5.97%	6.36%
5 to 9 years	337	5.87%, see rank	5.90%	6.51%
10 to 14 years	401	6.99%, see rank	6.07%	6.59%
15 to 19 years	288	5.02%, see rank	6.71%	6.85%
20 to 24 years	397	6.92%, see rank	7.33%	7.13%
25 to 34 years	925	16.12%, see rank	14.09%	13.47%
35 to 44 years	553	9.64%, see rank	13.02%	12.96%
45 to 54 years	887	15.46%, see rank	14.51%	14.09%
55 to 64 years	754	13.14%, see rank	12.35%	12.29%
65 to 74 years	469	8.17%, see rank	7.55%	7.64%
75 to 84	225	3.92%, see rank	4.42%	4.25%
85 years and over	52	0.91%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 5,569

Median Age (see rank)

14867 Zip Code	40.50 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14867 Zip Code	39.80 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14867 Zip Code	41.20 years old
New York	39.40 years old
U.S.	38.50 years old

	14867 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	327	5.87%, see rank	5.96%	6.54%
5 to 9 years	341	6.12%, see rank	6.01%	6.59%
10 to 14 years	378	6.79%, see rank	6.25%	6.70%
15 to 19 years	426	7.65%, see rank	7.05%	7.14%
20 to 24 years	276	4.96%, see rank	7.28%	6.99%
25 to 34 years	652	11.71%, see rank	13.72%	13.30%
35 to 44 years	758	13.61%, see rank	13.47%	13.30%
45 to 54 years	933	16.75%, see rank	14.86%	14.58%
55 to 64 years	794	14.26%, see rank	11.89%	11.82%
65 to 74 years	435	7.81%, see rank	7.02%	7.03%
75 to 84	189	3.39%, see rank	4.47%	4.23%
85 years and over	60	1.08%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 5,619

Median Age (see rank)

14867 Zip Code	33.70 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14867 Zip Code	32.20 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14867 Zip Code	35.10 years old
New York	39.40 years old
U.S.	38.50 years old

	14867 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	499	8.88%, see rank	5.98%	6.51%
5 to 9 years	505	8.99%, see rank	5.97%	6.57%
10 to 14 years	374	6.66%, see rank	6.25%	6.68%
15 to 19 years	309	5.50%, see rank	6.99%	7.09%
20 to 24 years	415	7.39%, see rank	7.27%	7.04%
25 to 34 years	803	14.29%, see rank	13.78%	13.32%
35 to 44 years	625	11.12%, see rank	13.50%	13.34%
45 to 54 years	865	15.39%, see rank	14.74%	14.44%
55 to 64 years	601	10.70%, see rank	11.91%	11.84%
65 to 74 years	398	7.08%, see rank	7.11%	7.12%
75 to 84	163	2.90%, see rank	4.49%	4.25%
85 years and over	62	1.10%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 5,430

Median Age (see rank)

14867 Zip Code	35.80 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14867 Zip Code	35.30 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14867 Zip Code	36.20 years old
New York	37.20 years old
U.S.	36.50 years old

	14867 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	364	6.70%, see rank	6.53%	6.81%
5 to 9 years	466	8.58%, see rank	7.12%	7.30%
10 to 14 years	414	7.62%, see rank	7.02%	7.29%
15 to 19 years	345	6.35%, see rank	6.78%	7.18%
20 to 24 years	282	5.19%, see rank	6.56%	6.74%
25 to 34 years	767	14.13%, see rank	14.53%	14.18%
35 to 44 years	949	17.48%, see rank	16.20%	16.04%
45 to 54 years	847	15.60%, see rank	13.45%	13.39%
55 to 64 years	515	9.48%, see rank	8.90%	8.63%
65 to 74 years	257	4.73%, see rank	6.72%	6.54%
75 to 84	175	3.22%, see rank	4.54%	4.39%
85 years and over	49	0.90%, 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.