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12449 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 3,301

Median Age (see rank)

12449 Zip Code	51.10 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12449 Zip Code	45.20 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12449 Zip Code	53.90 years old
New York	39.60 years old
U.S.	38.80 years old

	12449 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	110	3.33%, see rank	5.97%	6.36%
5 to 9 years	156	4.73%, see rank	5.90%	6.51%
10 to 14 years	137	4.15%, see rank	6.07%	6.59%
15 to 19 years	204	6.18%, see rank	6.71%	6.85%
20 to 24 years	189	5.73%, see rank	7.33%	7.13%
25 to 34 years	176	5.33%, see rank	14.09%	13.47%
35 to 44 years	441	13.36%, see rank	13.02%	12.96%
45 to 54 years	466	14.12%, see rank	14.51%	14.09%
55 to 64 years	536	16.24%, see rank	12.35%	12.29%
65 to 74 years	268	8.12%, see rank	7.55%	7.64%
75 to 84	289	8.75%, see rank	4.42%	4.25%
85 years and over	329	9.97%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 3,367

Median Age (see rank)

12449 Zip Code	48.00 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12449 Zip Code	45.10 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12449 Zip Code	50.00 years old
New York	39.40 years old
U.S.	38.50 years old

	12449 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	120	3.56%, see rank	5.96%	6.54%
5 to 9 years	154	4.57%, see rank	6.01%	6.59%
10 to 14 years	180	5.35%, see rank	6.25%	6.70%
15 to 19 years	203	6.03%, see rank	7.05%	7.14%
20 to 24 years	168	4.99%, see rank	7.28%	6.99%
25 to 34 years	313	9.30%, see rank	13.72%	13.30%
35 to 44 years	393	11.67%, see rank	13.47%	13.30%
45 to 54 years	595	17.67%, see rank	14.86%	14.58%
55 to 64 years	500	14.85%, see rank	11.89%	11.82%
65 to 74 years	292	8.67%, see rank	7.02%	7.03%
75 to 84	247	7.34%, see rank	4.47%	4.23%
85 years and over	202	6.00%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 3,262

Median Age (see rank)

12449 Zip Code	53.20 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12449 Zip Code	47.10 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12449 Zip Code	58.80 years old
New York	39.40 years old
U.S.	38.50 years old

	12449 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	40	1.23%, see rank	5.98%	6.51%
5 to 9 years	149	4.57%, see rank	5.97%	6.57%
10 to 14 years	105	3.22%, see rank	6.25%	6.68%
15 to 19 years	232	7.11%, see rank	6.99%	7.09%
20 to 24 years	181	5.55%, see rank	7.27%	7.04%
25 to 34 years	114	3.49%, see rank	13.78%	13.32%
35 to 44 years	415	12.72%, see rank	13.50%	13.34%
45 to 54 years	569	17.44%, see rank	14.74%	14.44%
55 to 64 years	552	16.92%, see rank	11.91%	11.84%
65 to 74 years	261	8.00%, see rank	7.11%	7.12%
75 to 84	290	8.89%, see rank	4.49%	4.25%
85 years and over	354	10.85%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 3,557

Median Age (see rank)

12449 Zip Code	41.40 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12449 Zip Code	39.50 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12449 Zip Code	43.50 years old
New York	37.20 years old
U.S.	36.50 years old

	12449 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	185	5.20%, see rank	6.53%	6.81%
5 to 9 years	217	6.10%, see rank	7.12%	7.30%
10 to 14 years	228	6.41%, see rank	7.02%	7.29%
15 to 19 years	191	5.37%, see rank	6.78%	7.18%
20 to 24 years	166	4.67%, see rank	6.56%	6.74%
25 to 34 years	406	11.41%, see rank	14.53%	14.18%
35 to 44 years	603	16.95%, see rank	16.20%	16.04%
45 to 54 years	509	14.31%, see rank	13.45%	13.39%
55 to 64 years	354	9.95%, see rank	8.90%	8.63%
65 to 74 years	288	8.10%, see rank	6.72%	6.54%
75 to 84	234	6.58%, see rank	4.54%	4.39%
85 years and over	176	4.95%, 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.