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12859 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 2,368

Median Age (see rank)

12859 Zip Code	37.50 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12859 Zip Code	37.30 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12859 Zip Code	38.70 years old
New York	39.60 years old
U.S.	38.80 years old

	12859 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	227	9.59%, see rank	5.97%	6.36%
5 to 9 years	133	5.62%, see rank	5.90%	6.51%
10 to 14 years	111	4.69%, see rank	6.07%	6.59%
15 to 19 years	140	5.91%, see rank	6.71%	6.85%
20 to 24 years	114	4.81%, see rank	7.33%	7.13%
25 to 34 years	328	13.85%, see rank	14.09%	13.47%
35 to 44 years	399	16.85%, see rank	13.02%	12.96%
45 to 54 years	401	16.93%, see rank	14.51%	14.09%
55 to 64 years	202	8.53%, see rank	12.35%	12.29%
65 to 74 years	209	8.83%, see rank	7.55%	7.64%
75 to 84	58	2.45%, see rank	4.42%	4.25%
85 years and over	46	1.94%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 2,220

Median Age (see rank)

12859 Zip Code	39.10 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12859 Zip Code	39.30 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12859 Zip Code	38.90 years old
New York	39.40 years old
U.S.	38.50 years old

	12859 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	143	6.44%, see rank	5.96%	6.54%
5 to 9 years	161	7.25%, see rank	6.01%	6.59%
10 to 14 years	160	7.21%, see rank	6.25%	6.70%
15 to 19 years	138	6.22%, see rank	7.05%	7.14%
20 to 24 years	120	5.41%, see rank	7.28%	6.99%
25 to 34 years	261	11.76%, see rank	13.72%	13.30%
35 to 44 years	351	15.81%, see rank	13.47%	13.30%
45 to 54 years	393	17.70%, see rank	14.86%	14.58%
55 to 64 years	276	12.43%, see rank	11.89%	11.82%
65 to 74 years	156	7.03%, see rank	7.02%	7.03%
75 to 84	39	1.76%, see rank	4.47%	4.23%
85 years and over	22	0.99%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 2,448

Median Age (see rank)

12859 Zip Code	36.70 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12859 Zip Code	37.10 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12859 Zip Code	36.30 years old
New York	39.40 years old
U.S.	38.50 years old

	12859 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	198	8.09%, see rank	5.98%	6.51%
5 to 9 years	171	6.99%, see rank	5.97%	6.57%
10 to 14 years	136	5.56%, see rank	6.25%	6.68%
15 to 19 years	122	4.98%, see rank	6.99%	7.09%
20 to 24 years	210	8.58%, see rank	7.27%	7.04%
25 to 34 years	330	13.48%, see rank	13.78%	13.32%
35 to 44 years	375	15.32%, see rank	13.50%	13.34%
45 to 54 years	454	18.55%, see rank	14.74%	14.44%
55 to 64 years	227	9.27%, see rank	11.91%	11.84%
65 to 74 years	142	5.80%, see rank	7.11%	7.12%
75 to 84	62	2.53%, see rank	4.49%	4.25%
85 years and over	21	0.86%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 1,984

Median Age (see rank)

12859 Zip Code	35.10 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12859 Zip Code	34.50 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12859 Zip Code	35.60 years old
New York	37.20 years old
U.S.	36.50 years old

	12859 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	143	7.21%, see rank	6.53%	6.81%
5 to 9 years	141	7.11%, see rank	7.12%	7.30%
10 to 14 years	169	8.52%, see rank	7.02%	7.29%
15 to 19 years	153	7.71%, see rank	6.78%	7.18%
20 to 24 years	80	4.03%, see rank	6.56%	6.74%
25 to 34 years	302	15.22%, see rank	14.53%	14.18%
35 to 44 years	392	19.76%, see rank	16.20%	16.04%
45 to 54 years	281	14.16%, see rank	13.45%	13.39%
55 to 64 years	176	8.87%, see rank	8.90%	8.63%
65 to 74 years	89	4.49%, see rank	6.72%	6.54%
75 to 84	38	1.92%, see rank	4.54%	4.39%
85 years and over	20	1.01%, 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.