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10282 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 5,903

Median Age (see rank)

10282 Zip Code	33.00 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

10282 Zip Code	31.40 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

10282 Zip Code	34.50 years old
New York	39.60 years old
U.S.	38.80 years old

	10282 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	1,021	17.30%, see rank	5.97%	6.36%
5 to 9 years	424	7.18%, see rank	5.90%	6.51%
10 to 14 years	175	2.96%, see rank	6.07%	6.59%
15 to 19 years	98	1.66%, see rank	6.71%	6.85%
20 to 24 years	97	1.64%, see rank	7.33%	7.13%
25 to 34 years	1,484	25.14%, see rank	14.09%	13.47%
35 to 44 years	1,414	23.95%, see rank	13.02%	12.96%
45 to 54 years	640	10.84%, see rank	14.51%	14.09%
55 to 64 years	216	3.66%, see rank	12.35%	12.29%
65 to 74 years	87	1.47%, see rank	7.55%	7.64%
75 to 84	159	2.69%, see rank	4.42%	4.25%
85 years and over	88	1.49%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,783

Median Age (see rank)

10282 Zip Code	33.70 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10282 Zip Code	33.90 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10282 Zip Code	33.50 years old
New York	39.40 years old
U.S.	38.50 years old

	10282 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	682	14.26%, see rank	5.96%	6.54%
5 to 9 years	233	4.87%, see rank	6.01%	6.59%
10 to 14 years	123	2.57%, see rank	6.25%	6.70%
15 to 19 years	74	1.55%, see rank	7.05%	7.14%
20 to 24 years	157	3.28%, see rank	7.28%	6.99%
25 to 34 years	1,382	28.89%, see rank	13.72%	13.30%
35 to 44 years	1,208	25.26%, see rank	13.47%	13.30%
45 to 54 years	390	8.15%, see rank	14.86%	14.58%
55 to 64 years	229	4.79%, see rank	11.89%	11.82%
65 to 74 years	79	1.65%, see rank	7.02%	7.03%
75 to 84	72	1.51%, see rank	4.47%	4.23%
85 years and over	154	3.22%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 5,507

Median Age (see rank)

10282 Zip Code	34.00 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10282 Zip Code	31.90 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10282 Zip Code	35.30 years old
New York	39.40 years old
U.S.	38.50 years old

	10282 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	924	16.78%, see rank	5.98%	6.51%
5 to 9 years	518	9.41%, see rank	5.97%	6.57%
10 to 14 years	140	2.54%, see rank	6.25%	6.68%
15 to 19 years	138	2.51%, see rank	6.99%	7.09%
20 to 24 years	92	1.67%, see rank	7.27%	7.04%
25 to 34 years	1,262	22.92%, see rank	13.78%	13.32%
35 to 44 years	1,427	25.91%, see rank	13.50%	13.34%
45 to 54 years	466	8.46%, see rank	14.74%	14.44%
55 to 64 years	141	2.56%, see rank	11.91%	11.84%
65 to 74 years	111	2.02%, see rank	7.11%	7.12%
75 to 84	157	2.85%, see rank	4.49%	4.25%
85 years and over	131	2.38%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 1,574

Median Age (see rank)

10282 Zip Code	32.00 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

10282 Zip Code	32.10 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

10282 Zip Code	31.80 years old
New York	37.20 years old
U.S.	36.50 years old

	10282 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	109	6.93%, see rank	6.53%	6.81%
5 to 9 years	72	4.57%, see rank	7.12%	7.30%
10 to 14 years	49	3.11%, see rank	7.02%	7.29%
15 to 19 years	27	1.72%, see rank	6.78%	7.18%
20 to 24 years	149	9.47%, see rank	6.56%	6.74%
25 to 34 years	550	34.94%, see rank	14.53%	14.18%
35 to 44 years	369	23.44%, see rank	16.20%	16.04%
45 to 54 years	154	9.78%, see rank	13.45%	13.39%
55 to 64 years	63	4.00%, see rank	8.90%	8.63%
65 to 74 years	22	1.40%, see rank	6.72%	6.54%
75 to 84	9	0.57%, see rank	4.54%	4.39%
85 years and over	1	0.06%, 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.