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12758 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,529

Median Age (see rank)

12758 Zip Code	40.60 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12758 Zip Code	40.30 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12758 Zip Code	42.20 years old
New York	39.60 years old
U.S.	38.80 years old

	12758 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	365	8.06%, see rank	5.97%	6.36%
5 to 9 years	235	5.19%, see rank	5.90%	6.51%
10 to 14 years	254	5.61%, see rank	6.07%	6.59%
15 to 19 years	318	7.02%, see rank	6.71%	6.85%
20 to 24 years	336	7.42%, see rank	7.33%	7.13%
25 to 34 years	380	8.39%, see rank	14.09%	13.47%
35 to 44 years	518	11.44%, see rank	13.02%	12.96%
45 to 54 years	829	18.30%, see rank	14.51%	14.09%
55 to 64 years	609	13.45%, see rank	12.35%	12.29%
65 to 74 years	426	9.41%, see rank	7.55%	7.64%
75 to 84	216	4.77%, see rank	4.42%	4.25%
85 years and over	43	0.95%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,042

Median Age (see rank)

12758 Zip Code	44.50 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12758 Zip Code	43.10 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12758 Zip Code	46.10 years old
New York	39.40 years old
U.S.	38.50 years old

	12758 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	184	4.55%, see rank	5.96%	6.54%
5 to 9 years	240	5.94%, see rank	6.01%	6.59%
10 to 14 years	282	6.98%, see rank	6.25%	6.70%
15 to 19 years	255	6.31%, see rank	7.05%	7.14%
20 to 24 years	182	4.50%, see rank	7.28%	6.99%
25 to 34 years	397	9.82%, see rank	13.72%	13.30%
35 to 44 years	504	12.47%, see rank	13.47%	13.30%
45 to 54 years	675	16.70%, see rank	14.86%	14.58%
55 to 64 years	635	15.71%, see rank	11.89%	11.82%
65 to 74 years	426	10.54%, see rank	7.02%	7.03%
75 to 84	215	5.32%, see rank	4.47%	4.23%
85 years and over	47	1.16%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,074

Median Age (see rank)

12758 Zip Code	42.10 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12758 Zip Code	41.70 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12758 Zip Code	43.30 years old
New York	39.40 years old
U.S.	38.50 years old

	12758 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	249	6.11%, see rank	5.98%	6.51%
5 to 9 years	255	6.26%, see rank	5.97%	6.57%
10 to 14 years	212	5.20%, see rank	6.25%	6.68%
15 to 19 years	289	7.09%, see rank	6.99%	7.09%
20 to 24 years	284	6.97%, see rank	7.27%	7.04%
25 to 34 years	329	8.08%, see rank	13.78%	13.32%
35 to 44 years	584	14.33%, see rank	13.50%	13.34%
45 to 54 years	691	16.96%, see rank	14.74%	14.44%
55 to 64 years	475	11.66%, see rank	11.91%	11.84%
65 to 74 years	426	10.46%, see rank	7.11%	7.12%
75 to 84	257	6.31%, see rank	4.49%	4.25%
85 years and over	23	0.56%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,339

Median Age (see rank)

12758 Zip Code	39.60 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12758 Zip Code	39.30 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12758 Zip Code	39.90 years old
New York	37.20 years old
U.S.	36.50 years old

	12758 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	280	6.45%, see rank	6.53%	6.81%
5 to 9 years	311	7.17%, see rank	7.12%	7.30%
10 to 14 years	347	8.00%, see rank	7.02%	7.29%
15 to 19 years	286	6.59%, see rank	6.78%	7.18%
20 to 24 years	205	4.72%, see rank	6.56%	6.74%
25 to 34 years	433	9.98%, see rank	14.53%	14.18%
35 to 44 years	668	15.40%, see rank	16.20%	16.04%
45 to 54 years	669	15.42%, see rank	13.45%	13.39%
55 to 64 years	495	11.41%, see rank	8.90%	8.63%
65 to 74 years	373	8.60%, see rank	6.72%	6.54%
75 to 84	213	4.91%, see rank	4.54%	4.39%
85 years and over	59	1.36%, 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.