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12783 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 2,425

Median Age (see rank)

12783 Zip Code	41.30 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12783 Zip Code	36.70 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12783 Zip Code	46.00 years old
New York	39.60 years old
U.S.	38.80 years old

	12783 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	112	4.62%, see rank	5.97%	6.36%
5 to 9 years	186	7.67%, see rank	5.90%	6.51%
10 to 14 years	69	2.85%, see rank	6.07%	6.59%
15 to 19 years	99	4.08%, see rank	6.71%	6.85%
20 to 24 years	243	10.02%, see rank	7.33%	7.13%
25 to 34 years	285	11.75%, see rank	14.09%	13.47%
35 to 44 years	316	13.03%, see rank	13.02%	12.96%
45 to 54 years	422	17.40%, see rank	14.51%	14.09%
55 to 64 years	253	10.43%, see rank	12.35%	12.29%
65 to 74 years	253	10.43%, see rank	7.55%	7.64%
75 to 84	61	2.52%, see rank	4.42%	4.25%
85 years and over	126	5.20%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 1,668

Median Age (see rank)

12783 Zip Code	45.40 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12783 Zip Code	43.80 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12783 Zip Code	46.90 years old
New York	39.40 years old
U.S.	38.50 years old

	12783 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	74	4.44%, see rank	5.96%	6.54%
5 to 9 years	56	3.36%, see rank	6.01%	6.59%
10 to 14 years	82	4.92%, see rank	6.25%	6.70%
15 to 19 years	110	6.59%, see rank	7.05%	7.14%
20 to 24 years	119	7.13%, see rank	7.28%	6.99%
25 to 34 years	200	11.99%, see rank	13.72%	13.30%
35 to 44 years	182	10.91%, see rank	13.47%	13.30%
45 to 54 years	342	20.50%, see rank	14.86%	14.58%
55 to 64 years	227	13.61%, see rank	11.89%	11.82%
65 to 74 years	161	9.65%, see rank	7.02%	7.03%
75 to 84	95	5.70%, see rank	4.47%	4.23%
85 years and over	20	1.20%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 1,825

Median Age (see rank)

12783 Zip Code	37.20 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12783 Zip Code	30.70 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12783 Zip Code	48.60 years old
New York	39.40 years old
U.S.	38.50 years old

	12783 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	108	5.92%, see rank	5.98%	6.51%
5 to 9 years	87	4.77%, see rank	5.97%	6.57%
10 to 14 years	48	2.63%, see rank	6.25%	6.68%
15 to 19 years	56	3.07%, see rank	6.99%	7.09%
20 to 24 years	314	17.21%, see rank	7.27%	7.04%
25 to 34 years	252	13.81%, see rank	13.78%	13.32%
35 to 44 years	138	7.56%, see rank	13.50%	13.34%
45 to 54 years	317	17.37%, see rank	14.74%	14.44%
55 to 64 years	139	7.62%, see rank	11.91%	11.84%
65 to 74 years	226	12.38%, see rank	7.11%	7.12%
75 to 84	67	3.67%, see rank	4.49%	4.25%
85 years and over	73	4.00%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 2,169

Median Age (see rank)

12783 Zip Code	41.40 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12783 Zip Code	41.70 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12783 Zip Code	40.90 years old
New York	37.20 years old
U.S.	36.50 years old

	12783 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	117	5.39%, see rank	6.53%	6.81%
5 to 9 years	118	5.44%, see rank	7.12%	7.30%
10 to 14 years	141	6.50%, see rank	7.02%	7.29%
15 to 19 years	128	5.90%, see rank	6.78%	7.18%
20 to 24 years	108	4.98%, see rank	6.56%	6.74%
25 to 34 years	232	10.70%, see rank	14.53%	14.18%
35 to 44 years	396	18.26%, see rank	16.20%	16.04%
45 to 54 years	351	16.18%, see rank	13.45%	13.39%
55 to 64 years	261	12.03%, see rank	8.90%	8.63%
65 to 74 years	205	9.45%, see rank	6.72%	6.54%
75 to 84	87	4.01%, see rank	4.54%	4.39%
85 years and over	25	1.15%, 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.