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12885 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,595

Median Age (see rank)

12885 Zip Code	46.30 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12885 Zip Code	45.50 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12885 Zip Code	46.60 years old
New York	39.60 years old
U.S.	38.80 years old

	12885 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	237	5.16%, see rank	5.97%	6.36%
5 to 9 years	255	5.55%, see rank	5.90%	6.51%
10 to 14 years	277	6.03%, see rank	6.07%	6.59%
15 to 19 years	270	5.88%, see rank	6.71%	6.85%
20 to 24 years	137	2.98%, see rank	7.33%	7.13%
25 to 34 years	542	11.80%, see rank	14.09%	13.47%
35 to 44 years	525	11.43%, see rank	13.02%	12.96%
45 to 54 years	733	15.95%, see rank	14.51%	14.09%
55 to 64 years	779	16.95%, see rank	12.35%	12.29%
65 to 74 years	502	10.92%, see rank	7.55%	7.64%
75 to 84	286	6.22%, see rank	4.42%	4.25%
85 years and over	52	1.13%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,602

Median Age (see rank)

12885 Zip Code	44.20 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12885 Zip Code	43.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12885 Zip Code	45.20 years old
New York	39.40 years old
U.S.	38.50 years old

	12885 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	252	5.48%, see rank	5.96%	6.54%
5 to 9 years	280	6.08%, see rank	6.01%	6.59%
10 to 14 years	244	5.30%, see rank	6.25%	6.70%
15 to 19 years	313	6.80%, see rank	7.05%	7.14%
20 to 24 years	230	5.00%, see rank	7.28%	6.99%
25 to 34 years	468	10.17%, see rank	13.72%	13.30%
35 to 44 years	575	12.49%, see rank	13.47%	13.30%
45 to 54 years	749	16.28%, see rank	14.86%	14.58%
55 to 64 years	729	15.84%, see rank	11.89%	11.82%
65 to 74 years	441	9.58%, see rank	7.02%	7.03%
75 to 84	234	5.08%, see rank	4.47%	4.23%
85 years and over	87	1.89%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,568

Median Age (see rank)

12885 Zip Code	46.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12885 Zip Code	44.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12885 Zip Code	47.30 years old
New York	39.40 years old
U.S.	38.50 years old

	12885 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	256	5.60%, see rank	5.98%	6.51%
5 to 9 years	266	5.82%, see rank	5.97%	6.57%
10 to 14 years	304	6.65%, see rank	6.25%	6.68%
15 to 19 years	285	6.24%, see rank	6.99%	7.09%
20 to 24 years	205	4.49%, see rank	7.27%	7.04%
25 to 34 years	448	9.81%, see rank	13.78%	13.32%
35 to 44 years	455	9.96%, see rank	13.50%	13.34%
45 to 54 years	859	18.80%, see rank	14.74%	14.44%
55 to 64 years	677	14.82%, see rank	11.91%	11.84%
65 to 74 years	513	11.23%, see rank	7.11%	7.12%
75 to 84	242	5.30%, see rank	4.49%	4.25%
85 years and over	58	1.27%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,646

Median Age (see rank)

12885 Zip Code	38.80 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12885 Zip Code	37.80 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12885 Zip Code	39.80 years old
New York	37.20 years old
U.S.	36.50 years old

	12885 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	258	5.55%, see rank	6.53%	6.81%
5 to 9 years	320	6.89%, see rank	7.12%	7.30%
10 to 14 years	343	7.38%, see rank	7.02%	7.29%
15 to 19 years	321	6.91%, see rank	6.78%	7.18%
20 to 24 years	228	4.91%, see rank	6.56%	6.74%
25 to 34 years	568	12.23%, see rank	14.53%	14.18%
35 to 44 years	728	15.67%, see rank	16.20%	16.04%
45 to 54 years	720	15.50%, see rank	13.45%	13.39%
55 to 64 years	499	10.74%, see rank	8.90%	8.63%
65 to 74 years	348	7.49%, see rank	6.72%	6.54%
75 to 84	222	4.78%, see rank	4.54%	4.39%
85 years and over	91	1.96%, 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.