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12962 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 6,009

Median Age (see rank)

12962 Zip Code	39.80 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12962 Zip Code	40.90 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12962 Zip Code	37.50 years old
New York	39.60 years old
U.S.	38.80 years old

	12962 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	439	7.31%, see rank	5.97%	6.36%
5 to 9 years	445	7.41%, see rank	5.90%	6.51%
10 to 14 years	397	6.61%, see rank	6.07%	6.59%
15 to 19 years	385	6.41%, see rank	6.71%	6.85%
20 to 24 years	243	4.04%, see rank	7.33%	7.13%
25 to 34 years	680	11.32%, see rank	14.09%	13.47%
35 to 44 years	876	14.58%, see rank	13.02%	12.96%
45 to 54 years	909	15.13%, see rank	14.51%	14.09%
55 to 64 years	939	15.63%, see rank	12.35%	12.29%
65 to 74 years	456	7.59%, see rank	7.55%	7.64%
75 to 84	159	2.65%, see rank	4.42%	4.25%
85 years and over	81	1.35%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 5,499

Median Age (see rank)

12962 Zip Code	42.90 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12962 Zip Code	42.10 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12962 Zip Code	43.60 years old
New York	39.40 years old
U.S.	38.50 years old

	12962 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	309	5.62%, see rank	5.96%	6.54%
5 to 9 years	307	5.58%, see rank	6.01%	6.59%
10 to 14 years	357	6.49%, see rank	6.25%	6.70%
15 to 19 years	355	6.46%, see rank	7.05%	7.14%
20 to 24 years	252	4.58%, see rank	7.28%	6.99%
25 to 34 years	618	11.24%, see rank	13.72%	13.30%
35 to 44 years	736	13.38%, see rank	13.47%	13.30%
45 to 54 years	980	17.82%, see rank	14.86%	14.58%
55 to 64 years	806	14.66%, see rank	11.89%	11.82%
65 to 74 years	440	8.00%, see rank	7.02%	7.03%
75 to 84	254	4.62%, see rank	4.47%	4.23%
85 years and over	85	1.55%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 5,941

Median Age (see rank)

12962 Zip Code	40.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12962 Zip Code	40.40 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12962 Zip Code	39.80 years old
New York	39.40 years old
U.S.	38.50 years old

	12962 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	366	6.16%, see rank	5.98%	6.51%
5 to 9 years	478	8.05%, see rank	5.97%	6.57%
10 to 14 years	361	6.08%, see rank	6.25%	6.68%
15 to 19 years	375	6.31%, see rank	6.99%	7.09%
20 to 24 years	374	6.30%, see rank	7.27%	7.04%
25 to 34 years	568	9.56%, see rank	13.78%	13.32%
35 to 44 years	902	15.18%, see rank	13.50%	13.34%
45 to 54 years	919	15.47%, see rank	14.74%	14.44%
55 to 64 years	774	13.03%, see rank	11.91%	11.84%
65 to 74 years	577	9.71%, see rank	7.11%	7.12%
75 to 84	196	3.30%, see rank	4.49%	4.25%
85 years and over	51	0.86%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 5,967

Median Age (see rank)

12962 Zip Code	37.20 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12962 Zip Code	36.70 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12962 Zip Code	37.70 years old
New York	37.20 years old
U.S.	36.50 years old

	12962 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	370	6.20%, see rank	6.53%	6.81%
5 to 9 years	431	7.22%, see rank	7.12%	7.30%
10 to 14 years	505	8.46%, see rank	7.02%	7.29%
15 to 19 years	463	7.76%, see rank	6.78%	7.18%
20 to 24 years	274	4.59%, see rank	6.56%	6.74%
25 to 34 years	728	12.20%, see rank	14.53%	14.18%
35 to 44 years	1,069	17.92%, see rank	16.20%	16.04%
45 to 54 years	961	16.11%, see rank	13.45%	13.39%
55 to 64 years	539	9.03%, see rank	8.90%	8.63%
65 to 74 years	394	6.60%, see rank	6.72%	6.54%
75 to 84	180	3.02%, see rank	4.54%	4.39%
85 years and over	53	0.89%, 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.