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12779 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 2,109

Median Age (see rank)

12779 Zip Code	26.90 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12779 Zip Code	25.10 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12779 Zip Code	30.50 years old
New York	39.60 years old
U.S.	38.80 years old

	12779 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	216	10.24%, see rank	5.97%	6.36%
5 to 9 years	196	9.29%, see rank	5.90%	6.51%
10 to 14 years	247	11.71%, see rank	6.07%	6.59%
15 to 19 years	186	8.82%, see rank	6.71%	6.85%
20 to 24 years	120	5.69%, see rank	7.33%	7.13%
25 to 34 years	327	15.50%, see rank	14.09%	13.47%
35 to 44 years	277	13.13%, see rank	13.02%	12.96%
45 to 54 years	226	10.72%, see rank	14.51%	14.09%
55 to 64 years	166	7.87%, see rank	12.35%	12.29%
65 to 74 years	103	4.88%, see rank	7.55%	7.64%
75 to 84	42	1.99%, see rank	4.42%	4.25%
85 years and over	3	0.14%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 2,460

Median Age (see rank)

12779 Zip Code	31.80 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12779 Zip Code	31.30 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12779 Zip Code	32.20 years old
New York	39.40 years old
U.S.	38.50 years old

	12779 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	238	9.67%, see rank	5.96%	6.54%
5 to 9 years	180	7.32%, see rank	6.01%	6.59%
10 to 14 years	167	6.79%, see rank	6.25%	6.70%
15 to 19 years	180	7.32%, see rank	7.05%	7.14%
20 to 24 years	191	7.76%, see rank	7.28%	6.99%
25 to 34 years	388	15.77%, see rank	13.72%	13.30%
35 to 44 years	306	12.44%, see rank	13.47%	13.30%
45 to 54 years	336	13.66%, see rank	14.86%	14.58%
55 to 64 years	266	10.81%, see rank	11.89%	11.82%
65 to 74 years	127	5.16%, see rank	7.02%	7.03%
75 to 84	59	2.40%, see rank	4.47%	4.23%
85 years and over	22	0.89%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 2,310

Median Age (see rank)

12779 Zip Code	30.40 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12779 Zip Code	31.80 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12779 Zip Code	29.50 years old
New York	39.40 years old
U.S.	38.50 years old

	12779 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	152	6.58%, see rank	5.98%	6.51%
5 to 9 years	138	5.97%, see rank	5.97%	6.57%
10 to 14 years	276	11.95%, see rank	6.25%	6.68%
15 to 19 years	201	8.70%, see rank	6.99%	7.09%
20 to 24 years	150	6.49%, see rank	7.27%	7.04%
25 to 34 years	450	19.48%, see rank	13.78%	13.32%
35 to 44 years	243	10.52%, see rank	13.50%	13.34%
45 to 54 years	295	12.77%, see rank	14.74%	14.44%
55 to 64 years	258	11.17%, see rank	11.91%	11.84%
65 to 74 years	82	3.55%, see rank	7.11%	7.12%
75 to 84	51	2.21%, see rank	4.49%	4.25%
85 years and over	14	0.61%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 1,544

Median Age (see rank)

12779 Zip Code	36.80 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12779 Zip Code	34.40 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12779 Zip Code	38.50 years old
New York	37.20 years old
U.S.	36.50 years old

	12779 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	126	8.16%, see rank	6.53%	6.81%
5 to 9 years	142	9.20%, see rank	7.12%	7.30%
10 to 14 years	111	7.19%, see rank	7.02%	7.29%
15 to 19 years	111	7.19%, see rank	6.78%	7.18%
20 to 24 years	89	5.76%, see rank	6.56%	6.74%
25 to 34 years	154	9.97%, see rank	14.53%	14.18%
35 to 44 years	253	16.39%, see rank	16.20%	16.04%
45 to 54 years	203	13.15%, see rank	13.45%	13.39%
55 to 64 years	137	8.87%, see rank	8.90%	8.63%
65 to 74 years	108	6.99%, see rank	6.72%	6.54%
75 to 84	86	5.57%, see rank	4.54%	4.39%
85 years and over	24	1.55%, 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.