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10560 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,742

Median Age (see rank)

10560 Zip Code	50.70 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

10560 Zip Code	51.50 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

10560 Zip Code	49.30 years old
New York	39.60 years old
U.S.	38.80 years old

	10560 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	122	2.57%, see rank	5.97%	6.36%
5 to 9 years	384	8.10%, see rank	5.90%	6.51%
10 to 14 years	245	5.17%, see rank	6.07%	6.59%
15 to 19 years	314	6.62%, see rank	6.71%	6.85%
20 to 24 years	211	4.45%, see rank	7.33%	7.13%
25 to 34 years	332	7.00%, see rank	14.09%	13.47%
35 to 44 years	367	7.74%, see rank	13.02%	12.96%
45 to 54 years	871	18.37%, see rank	14.51%	14.09%
55 to 64 years	938	19.78%, see rank	12.35%	12.29%
65 to 74 years	583	12.29%, see rank	7.55%	7.64%
75 to 84	257	5.42%, see rank	4.42%	4.25%
85 years and over	118	2.49%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,737

Median Age (see rank)

10560 Zip Code	46.20 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10560 Zip Code	45.30 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10560 Zip Code	47.00 years old
New York	39.40 years old
U.S.	38.50 years old

	10560 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	228	4.81%, see rank	5.96%	6.54%
5 to 9 years	321	6.78%, see rank	6.01%	6.59%
10 to 14 years	359	7.58%, see rank	6.25%	6.70%
15 to 19 years	312	6.59%, see rank	7.05%	7.14%
20 to 24 years	179	3.78%, see rank	7.28%	6.99%
25 to 34 years	255	5.38%, see rank	13.72%	13.30%
35 to 44 years	590	12.46%, see rank	13.47%	13.30%
45 to 54 years	931	19.65%, see rank	14.86%	14.58%
55 to 64 years	701	14.80%, see rank	11.89%	11.82%
65 to 74 years	408	8.61%, see rank	7.02%	7.03%
75 to 84	221	4.67%, see rank	4.47%	4.23%
85 years and over	232	4.90%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,812

Median Age (see rank)

10560 Zip Code	48.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10560 Zip Code	49.60 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10560 Zip Code	47.60 years old
New York	39.40 years old
U.S.	38.50 years old

	10560 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	187	3.89%, see rank	5.98%	6.51%
5 to 9 years	375	7.79%, see rank	5.97%	6.57%
10 to 14 years	352	7.32%, see rank	6.25%	6.68%
15 to 19 years	266	5.53%, see rank	6.99%	7.09%
20 to 24 years	256	5.32%, see rank	7.27%	7.04%
25 to 34 years	257	5.34%, see rank	13.78%	13.32%
35 to 44 years	460	9.56%, see rank	13.50%	13.34%
45 to 54 years	1,011	21.01%, see rank	14.74%	14.44%
55 to 64 years	740	15.38%, see rank	11.91%	11.84%
65 to 74 years	464	9.64%, see rank	7.11%	7.12%
75 to 84	311	6.46%, see rank	4.49%	4.25%
85 years and over	133	2.76%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,941

Median Age (see rank)

10560 Zip Code	40.30 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

10560 Zip Code	39.60 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

10560 Zip Code	41.00 years old
New York	37.20 years old
U.S.	36.50 years old

	10560 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	376	7.61%, see rank	6.53%	6.81%
5 to 9 years	373	7.55%, see rank	7.12%	7.30%
10 to 14 years	379	7.67%, see rank	7.02%	7.29%
15 to 19 years	236	4.78%, see rank	6.78%	7.18%
20 to 24 years	150	3.04%, see rank	6.56%	6.74%
25 to 34 years	482	9.76%, see rank	14.53%	14.18%
35 to 44 years	914	18.50%, see rank	16.20%	16.04%
45 to 54 years	814	16.47%, see rank	13.45%	13.39%
55 to 64 years	526	10.65%, see rank	8.90%	8.63%
65 to 74 years	289	5.85%, see rank	6.72%	6.54%
75 to 84	218	4.41%, see rank	4.54%	4.39%
85 years and over	184	3.72%, 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.