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10502 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 5,396

Median Age (see rank)

10502 Zip Code	45.40 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

10502 Zip Code	45.20 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

10502 Zip Code	45.60 years old
New York	39.60 years old
U.S.	38.80 years old

	10502 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	145	2.69%, see rank	5.97%	6.36%
5 to 9 years	309	5.73%, see rank	5.90%	6.51%
10 to 14 years	455	8.43%, see rank	6.07%	6.59%
15 to 19 years	543	10.06%, see rank	6.71%	6.85%
20 to 24 years	251	4.65%, see rank	7.33%	7.13%
25 to 34 years	284	5.26%, see rank	14.09%	13.47%
35 to 44 years	661	12.25%, see rank	13.02%	12.96%
45 to 54 years	1,037	19.22%, see rank	14.51%	14.09%
55 to 64 years	713	13.21%, see rank	12.35%	12.29%
65 to 74 years	430	7.97%, see rank	7.55%	7.64%
75 to 84	415	7.69%, see rank	4.42%	4.25%
85 years and over	153	2.84%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 5,487

Median Age (see rank)

10502 Zip Code	45.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10502 Zip Code	44.80 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10502 Zip Code	45.80 years old
New York	39.40 years old
U.S.	38.50 years old

	10502 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	249	4.54%, see rank	5.96%	6.54%
5 to 9 years	371	6.76%, see rank	6.01%	6.59%
10 to 14 years	475	8.66%, see rank	6.25%	6.70%
15 to 19 years	431	7.85%, see rank	7.05%	7.14%
20 to 24 years	229	4.17%, see rank	7.28%	6.99%
25 to 34 years	300	5.47%, see rank	13.72%	13.30%
35 to 44 years	658	11.99%, see rank	13.47%	13.30%
45 to 54 years	996	18.15%, see rank	14.86%	14.58%
55 to 64 years	835	15.22%, see rank	11.89%	11.82%
65 to 74 years	427	7.78%, see rank	7.02%	7.03%
75 to 84	333	6.07%, see rank	4.47%	4.23%
85 years and over	183	3.34%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 5,361

Median Age (see rank)

10502 Zip Code	45.50 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10502 Zip Code	43.70 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10502 Zip Code	46.80 years old
New York	39.40 years old
U.S.	38.50 years old

	10502 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	192	3.58%, see rank	5.98%	6.51%
5 to 9 years	330	6.16%, see rank	5.97%	6.57%
10 to 14 years	461	8.60%, see rank	6.25%	6.68%
15 to 19 years	532	9.92%, see rank	6.99%	7.09%
20 to 24 years	296	5.52%, see rank	7.27%	7.04%
25 to 34 years	175	3.26%, see rank	13.78%	13.32%
35 to 44 years	627	11.70%, see rank	13.50%	13.34%
45 to 54 years	1,001	18.67%, see rank	14.74%	14.44%
55 to 64 years	838	15.63%, see rank	11.91%	11.84%
65 to 74 years	365	6.81%, see rank	7.11%	7.12%
75 to 84	382	7.13%, see rank	4.49%	4.25%
85 years and over	162	3.02%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,935

Median Age (see rank)

10502 Zip Code	41.30 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

10502 Zip Code	40.60 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

10502 Zip Code	41.80 years old
New York	37.20 years old
U.S.	36.50 years old

	10502 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	299	6.06%, see rank	6.53%	6.81%
5 to 9 years	443	8.98%, see rank	7.12%	7.30%
10 to 14 years	447	9.06%, see rank	7.02%	7.29%
15 to 19 years	309	6.26%, see rank	6.78%	7.18%
20 to 24 years	146	2.96%, see rank	6.56%	6.74%
25 to 34 years	324	6.57%, see rank	14.53%	14.18%
35 to 44 years	887	17.97%, see rank	16.20%	16.04%
45 to 54 years	858	17.39%, see rank	13.45%	13.39%
55 to 64 years	511	10.35%, see rank	8.90%	8.63%
65 to 74 years	403	8.17%, see rank	6.72%	6.54%
75 to 84	260	5.27%, see rank	4.54%	4.39%
85 years and over	48	0.97%, 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.