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12582 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 6,165

Median Age (see rank)

12582 Zip Code	42.70 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12582 Zip Code	41.70 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12582 Zip Code	44.30 years old
New York	39.60 years old
U.S.	38.80 years old

	12582 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	243	3.94%, see rank	5.97%	6.36%
5 to 9 years	330	5.35%, see rank	5.90%	6.51%
10 to 14 years	359	5.82%, see rank	6.07%	6.59%
15 to 19 years	469	7.61%, see rank	6.71%	6.85%
20 to 24 years	313	5.08%, see rank	7.33%	7.13%
25 to 34 years	681	11.05%, see rank	14.09%	13.47%
35 to 44 years	1,068	17.32%, see rank	13.02%	12.96%
45 to 54 years	1,504	24.40%, see rank	14.51%	14.09%
55 to 64 years	697	11.31%, see rank	12.35%	12.29%
65 to 74 years	406	6.59%, see rank	7.55%	7.64%
75 to 84	77	1.25%, see rank	4.42%	4.25%
85 years and over	18	0.29%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 6,191

Median Age (see rank)

12582 Zip Code	41.60 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12582 Zip Code	41.10 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12582 Zip Code	42.80 years old
New York	39.40 years old
U.S.	38.50 years old

	12582 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	207	3.34%, see rank	5.96%	6.54%
5 to 9 years	250	4.04%, see rank	6.01%	6.59%
10 to 14 years	326	5.27%, see rank	6.25%	6.70%
15 to 19 years	356	5.75%, see rank	7.05%	7.14%
20 to 24 years	283	4.57%, see rank	7.28%	6.99%
25 to 34 years	889	14.36%, see rank	13.72%	13.30%
35 to 44 years	1,249	20.17%, see rank	13.47%	13.30%
45 to 54 years	1,400	22.61%, see rank	14.86%	14.58%
55 to 64 years	808	13.05%, see rank	11.89%	11.82%
65 to 74 years	265	4.28%, see rank	7.02%	7.03%
75 to 84	109	1.76%, see rank	4.47%	4.23%
85 years and over	49	0.79%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 6,201

Median Age (see rank)

12582 Zip Code	42.40 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12582 Zip Code	40.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12582 Zip Code	45.40 years old
New York	39.40 years old
U.S.	38.50 years old

	12582 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	183	2.95%, see rank	5.98%	6.51%
5 to 9 years	318	5.13%, see rank	5.97%	6.57%
10 to 14 years	320	5.16%, see rank	6.25%	6.68%
15 to 19 years	460	7.42%, see rank	6.99%	7.09%
20 to 24 years	311	5.02%, see rank	7.27%	7.04%
25 to 34 years	742	11.97%, see rank	13.78%	13.32%
35 to 44 years	1,120	18.06%, see rank	13.50%	13.34%
45 to 54 years	1,570	25.32%, see rank	14.74%	14.44%
55 to 64 years	703	11.34%, see rank	11.91%	11.84%
65 to 74 years	374	6.03%, see rank	7.11%	7.12%
75 to 84	65	1.05%, see rank	4.49%	4.25%
85 years and over	35	0.56%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,550

Median Age (see rank)

12582 Zip Code	36.80 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12582 Zip Code	36.80 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12582 Zip Code	36.70 years old
New York	37.20 years old
U.S.	36.50 years old

	12582 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	329	7.23%, see rank	6.53%	6.81%
5 to 9 years	389	8.55%, see rank	7.12%	7.30%
10 to 14 years	416	9.14%, see rank	7.02%	7.29%
15 to 19 years	327	7.19%, see rank	6.78%	7.18%
20 to 24 years	211	4.64%, see rank	6.56%	6.74%
25 to 34 years	463	10.18%, see rank	14.53%	14.18%
35 to 44 years	934	20.53%, see rank	16.20%	16.04%
45 to 54 years	826	18.15%, see rank	13.45%	13.39%
55 to 64 years	349	7.67%, see rank	8.90%	8.63%
65 to 74 years	177	3.89%, see rank	6.72%	6.54%
75 to 84	101	2.22%, see rank	4.54%	4.39%
85 years and over	28	0.62%, 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.