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10524 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,402

Median Age (see rank)

10524 Zip Code	49.90 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

10524 Zip Code	49.10 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

10524 Zip Code	50.90 years old
New York	39.60 years old
U.S.	38.80 years old

	10524 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	151	3.43%, see rank	5.97%	6.36%
5 to 9 years	302	6.86%, see rank	5.90%	6.51%
10 to 14 years	207	4.70%, see rank	6.07%	6.59%
15 to 19 years	168	3.82%, see rank	6.71%	6.85%
20 to 24 years	244	5.54%, see rank	7.33%	7.13%
25 to 34 years	352	8.00%, see rank	14.09%	13.47%
35 to 44 years	475	10.79%, see rank	13.02%	12.96%
45 to 54 years	811	18.42%, see rank	14.51%	14.09%
55 to 64 years	738	16.77%, see rank	12.35%	12.29%
65 to 74 years	521	11.84%, see rank	7.55%	7.64%
75 to 84	235	5.34%, see rank	4.42%	4.25%
85 years and over	198	4.50%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,421

Median Age (see rank)

10524 Zip Code	45.60 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10524 Zip Code	45.70 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10524 Zip Code	45.40 years old
New York	39.40 years old
U.S.	38.50 years old

	10524 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	198	4.48%, see rank	5.96%	6.54%
5 to 9 years	275	6.22%, see rank	6.01%	6.59%
10 to 14 years	321	7.26%, see rank	6.25%	6.70%
15 to 19 years	253	5.72%, see rank	7.05%	7.14%
20 to 24 years	195	4.41%, see rank	7.28%	6.99%
25 to 34 years	322	7.28%, see rank	13.72%	13.30%
35 to 44 years	598	13.53%, see rank	13.47%	13.30%
45 to 54 years	827	18.71%, see rank	14.86%	14.58%
55 to 64 years	719	16.26%, see rank	11.89%	11.82%
65 to 74 years	424	9.59%, see rank	7.02%	7.03%
75 to 84	210	4.75%, see rank	4.47%	4.23%
85 years and over	79	1.79%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,482

Median Age (see rank)

10524 Zip Code	45.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10524 Zip Code	43.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10524 Zip Code	46.20 years old
New York	39.40 years old
U.S.	38.50 years old

	10524 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	234	5.22%, see rank	5.98%	6.51%
5 to 9 years	226	5.04%, see rank	5.97%	6.57%
10 to 14 years	376	8.39%, see rank	6.25%	6.68%
15 to 19 years	208	4.64%, see rank	6.99%	7.09%
20 to 24 years	201	4.48%, see rank	7.27%	7.04%
25 to 34 years	374	8.34%, see rank	13.78%	13.32%
35 to 44 years	583	13.01%, see rank	13.50%	13.34%
45 to 54 years	899	20.06%, see rank	14.74%	14.44%
55 to 64 years	642	14.32%, see rank	11.91%	11.84%
65 to 74 years	434	9.68%, see rank	7.11%	7.12%
75 to 84	181	4.04%, see rank	4.49%	4.25%
85 years and over	124	2.77%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,232

Median Age (see rank)

10524 Zip Code	41.40 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

10524 Zip Code	42.00 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

10524 Zip Code	41.00 years old
New York	37.20 years old
U.S.	36.50 years old

	10524 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	286	6.76%, see rank	6.53%	6.81%
5 to 9 years	312	7.37%, see rank	7.12%	7.30%
10 to 14 years	307	7.25%, see rank	7.02%	7.29%
15 to 19 years	218	5.15%, see rank	6.78%	7.18%
20 to 24 years	120	2.84%, see rank	6.56%	6.74%
25 to 34 years	398	9.40%, see rank	14.53%	14.18%
35 to 44 years	777	18.36%, see rank	16.20%	16.04%
45 to 54 years	818	19.33%, see rank	13.45%	13.39%
55 to 64 years	507	11.98%, see rank	8.90%	8.63%
65 to 74 years	294	6.95%, see rank	6.72%	6.54%
75 to 84	153	3.62%, see rank	4.54%	4.39%
85 years and over	42	0.99%, 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.