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12518 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 5,889

Median Age (see rank)

12518 Zip Code	42.30 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12518 Zip Code	40.80 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12518 Zip Code	44.00 years old
New York	39.60 years old
U.S.	38.80 years old

	12518 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	231	3.92%, see rank	5.97%	6.36%
5 to 9 years	383	6.50%, see rank	5.90%	6.51%
10 to 14 years	454	7.71%, see rank	6.07%	6.59%
15 to 19 years	420	7.13%, see rank	6.71%	6.85%
20 to 24 years	363	6.16%, see rank	7.33%	7.13%
25 to 34 years	469	7.96%, see rank	14.09%	13.47%
35 to 44 years	842	14.30%, see rank	13.02%	12.96%
45 to 54 years	843	14.31%, see rank	14.51%	14.09%
55 to 64 years	884	15.01%, see rank	12.35%	12.29%
65 to 74 years	471	8.00%, see rank	7.55%	7.64%
75 to 84	346	5.88%, see rank	4.42%	4.25%
85 years and over	183	3.11%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 5,870

Median Age (see rank)

12518 Zip Code	41.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12518 Zip Code	40.40 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12518 Zip Code	42.10 years old
New York	39.40 years old
U.S.	38.50 years old

	12518 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	333	5.67%, see rank	5.96%	6.54%
5 to 9 years	410	6.98%, see rank	6.01%	6.59%
10 to 14 years	450	7.67%, see rank	6.25%	6.70%
15 to 19 years	451	7.68%, see rank	7.05%	7.14%
20 to 24 years	246	4.19%, see rank	7.28%	6.99%
25 to 34 years	540	9.20%, see rank	13.72%	13.30%
35 to 44 years	844	14.38%, see rank	13.47%	13.30%
45 to 54 years	1,002	17.07%, see rank	14.86%	14.58%
55 to 64 years	731	12.45%, see rank	11.89%	11.82%
65 to 74 years	388	6.61%, see rank	7.02%	7.03%
75 to 84	321	5.47%, see rank	4.47%	4.23%
85 years and over	154	2.62%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 5,856

Median Age (see rank)

12518 Zip Code	40.90 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12518 Zip Code	40.30 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12518 Zip Code	42.80 years old
New York	39.40 years old
U.S.	38.50 years old

	12518 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	291	4.97%, see rank	5.98%	6.51%
5 to 9 years	470	8.03%, see rank	5.97%	6.57%
10 to 14 years	434	7.41%, see rank	6.25%	6.68%
15 to 19 years	351	5.99%, see rank	6.99%	7.09%
20 to 24 years	394	6.73%, see rank	7.27%	7.04%
25 to 34 years	555	9.48%, see rank	13.78%	13.32%
35 to 44 years	818	13.97%, see rank	13.50%	13.34%
45 to 54 years	800	13.66%, see rank	14.74%	14.44%
55 to 64 years	897	15.32%, see rank	11.91%	11.84%
65 to 74 years	394	6.73%, see rank	7.11%	7.12%
75 to 84	324	5.53%, see rank	4.49%	4.25%
85 years and over	128	2.19%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 6,276

Median Age (see rank)

12518 Zip Code	38.40 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12518 Zip Code	37.40 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12518 Zip Code	39.20 years old
New York	37.20 years old
U.S.	36.50 years old

	12518 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	417	6.64%, see rank	6.53%	6.81%
5 to 9 years	495	7.89%, see rank	7.12%	7.30%
10 to 14 years	512	8.16%, see rank	7.02%	7.29%
15 to 19 years	421	6.71%, see rank	6.78%	7.18%
20 to 24 years	200	3.19%, see rank	6.56%	6.74%
25 to 34 years	712	11.34%, see rank	14.53%	14.18%
35 to 44 years	1,144	18.23%, see rank	16.20%	16.04%
45 to 54 years	945	15.06%, see rank	13.45%	13.39%
55 to 64 years	564	8.99%, see rank	8.90%	8.63%
65 to 74 years	444	7.07%, see rank	6.72%	6.54%
75 to 84	328	5.23%, see rank	4.54%	4.39%
85 years and over	94	1.50%, 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.