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12816 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,329

Median Age (see rank)

12816 Zip Code	46.90 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12816 Zip Code	45.70 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12816 Zip Code	47.90 years old
New York	39.60 years old
U.S.	38.80 years old

	12816 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	253	5.84%, see rank	5.97%	6.36%
5 to 9 years	210	4.85%, see rank	5.90%	6.51%
10 to 14 years	179	4.13%, see rank	6.07%	6.59%
15 to 19 years	277	6.40%, see rank	6.71%	6.85%
20 to 24 years	215	4.97%, see rank	7.33%	7.13%
25 to 34 years	428	9.89%, see rank	14.09%	13.47%
35 to 44 years	492	11.37%, see rank	13.02%	12.96%
45 to 54 years	671	15.50%, see rank	14.51%	14.09%
55 to 64 years	713	16.47%, see rank	12.35%	12.29%
65 to 74 years	493	11.39%, see rank	7.55%	7.64%
75 to 84	315	7.28%, see rank	4.42%	4.25%
85 years and over	83	1.92%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,610

Median Age (see rank)

12816 Zip Code	45.70 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12816 Zip Code	44.60 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12816 Zip Code	46.60 years old
New York	39.40 years old
U.S.	38.50 years old

	12816 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	248	5.38%, see rank	5.96%	6.54%
5 to 9 years	273	5.92%, see rank	6.01%	6.59%
10 to 14 years	264	5.73%, see rank	6.25%	6.70%
15 to 19 years	293	6.36%, see rank	7.05%	7.14%
20 to 24 years	225	4.88%, see rank	7.28%	6.99%
25 to 34 years	401	8.70%, see rank	13.72%	13.30%
35 to 44 years	553	12.00%, see rank	13.47%	13.30%
45 to 54 years	778	16.88%, see rank	14.86%	14.58%
55 to 64 years	722	15.66%, see rank	11.89%	11.82%
65 to 74 years	457	9.91%, see rank	7.02%	7.03%
75 to 84	286	6.20%, see rank	4.47%	4.23%
85 years and over	110	2.39%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,522

Median Age (see rank)

12816 Zip Code	45.10 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12816 Zip Code	45.20 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12816 Zip Code	45.00 years old
New York	39.40 years old
U.S.	38.50 years old

	12816 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	276	6.10%, see rank	5.98%	6.51%
5 to 9 years	229	5.06%, see rank	5.97%	6.57%
10 to 14 years	268	5.93%, see rank	6.25%	6.68%
15 to 19 years	333	7.36%, see rank	6.99%	7.09%
20 to 24 years	179	3.96%, see rank	7.27%	7.04%
25 to 34 years	409	9.04%, see rank	13.78%	13.32%
35 to 44 years	559	12.36%, see rank	13.50%	13.34%
45 to 54 years	680	15.04%, see rank	14.74%	14.44%
55 to 64 years	625	13.82%, see rank	11.91%	11.84%
65 to 74 years	505	11.17%, see rank	7.11%	7.12%
75 to 84	342	7.56%, see rank	4.49%	4.25%
85 years and over	117	2.59%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,845

Median Age (see rank)

12816 Zip Code	39.90 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12816 Zip Code	38.60 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12816 Zip Code	41.30 years old
New York	37.20 years old
U.S.	36.50 years old

	12816 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	269	5.55%, see rank	6.53%	6.81%
5 to 9 years	358	7.39%, see rank	7.12%	7.30%
10 to 14 years	394	8.13%, see rank	7.02%	7.29%
15 to 19 years	305	6.30%, see rank	6.78%	7.18%
20 to 24 years	211	4.36%, see rank	6.56%	6.74%
25 to 34 years	529	10.92%, see rank	14.53%	14.18%
35 to 44 years	744	15.36%, see rank	16.20%	16.04%
45 to 54 years	727	15.01%, see rank	13.45%	13.39%
55 to 64 years	500	10.32%, see rank	8.90%	8.63%
65 to 74 years	424	8.75%, see rank	6.72%	6.54%
75 to 84	263	5.43%, see rank	4.54%	4.39%
85 years and over	121	2.50%, 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.