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10916 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,374

Median Age (see rank)

10916 Zip Code	42.20 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

10916 Zip Code	40.60 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

10916 Zip Code	43.00 years old
New York	39.60 years old
U.S.	38.80 years old

	10916 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	116	2.65%, see rank	5.97%	6.36%
5 to 9 years	223	5.10%, see rank	5.90%	6.51%
10 to 14 years	485	11.09%, see rank	6.07%	6.59%
15 to 19 years	418	9.56%, see rank	6.71%	6.85%
20 to 24 years	249	5.69%, see rank	7.33%	7.13%
25 to 34 years	396	9.05%, see rank	14.09%	13.47%
35 to 44 years	522	11.93%, see rank	13.02%	12.96%
45 to 54 years	832	19.02%, see rank	14.51%	14.09%
55 to 64 years	545	12.46%, see rank	12.35%	12.29%
65 to 74 years	362	8.28%, see rank	7.55%	7.64%
75 to 84	156	3.57%, see rank	4.42%	4.25%
85 years and over	70	1.60%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,540

Median Age (see rank)

10916 Zip Code	41.60 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10916 Zip Code	40.60 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10916 Zip Code	42.90 years old
New York	39.40 years old
U.S.	38.50 years old

	10916 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	270	5.95%, see rank	5.96%	6.54%
5 to 9 years	307	6.76%, see rank	6.01%	6.59%
10 to 14 years	368	8.11%, see rank	6.25%	6.70%
15 to 19 years	337	7.42%, see rank	7.05%	7.14%
20 to 24 years	235	5.18%, see rank	7.28%	6.99%
25 to 34 years	363	8.00%, see rank	13.72%	13.30%
35 to 44 years	624	13.74%, see rank	13.47%	13.30%
45 to 54 years	884	19.47%, see rank	14.86%	14.58%
55 to 64 years	591	13.02%, see rank	11.89%	11.82%
65 to 74 years	304	6.70%, see rank	7.02%	7.03%
75 to 84	154	3.39%, see rank	4.47%	4.23%
85 years and over	103	2.27%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,468

Median Age (see rank)

10916 Zip Code	40.70 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10916 Zip Code	37.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10916 Zip Code	43.30 years old
New York	39.40 years old
U.S.	38.50 years old

	10916 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	183	4.10%, see rank	5.98%	6.51%
5 to 9 years	327	7.32%, see rank	5.97%	6.57%
10 to 14 years	394	8.82%, see rank	6.25%	6.68%
15 to 19 years	449	10.05%, see rank	6.99%	7.09%
20 to 24 years	384	8.59%, see rank	7.27%	7.04%
25 to 34 years	288	6.45%, see rank	13.78%	13.32%
35 to 44 years	501	11.21%, see rank	13.50%	13.34%
45 to 54 years	843	18.87%, see rank	14.74%	14.44%
55 to 64 years	448	10.03%, see rank	11.91%	11.84%
65 to 74 years	353	7.90%, see rank	7.11%	7.12%
75 to 84	204	4.57%, see rank	4.49%	4.25%
85 years and over	94	2.10%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,070

Median Age (see rank)

10916 Zip Code	38.20 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

10916 Zip Code	37.90 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

10916 Zip Code	38.40 years old
New York	37.20 years old
U.S.	36.50 years old

	10916 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	282	6.93%, see rank	6.53%	6.81%
5 to 9 years	329	8.08%, see rank	7.12%	7.30%
10 to 14 years	381	9.36%, see rank	7.02%	7.29%
15 to 19 years	267	6.56%, see rank	6.78%	7.18%
20 to 24 years	163	4.00%, see rank	6.56%	6.74%
25 to 34 years	383	9.41%, see rank	14.53%	14.18%
35 to 44 years	734	18.03%, see rank	16.20%	16.04%
45 to 54 years	675	16.58%, see rank	13.45%	13.39%
55 to 64 years	391	9.61%, see rank	8.90%	8.63%
65 to 74 years	220	5.41%, see rank	6.72%	6.54%
75 to 84	145	3.56%, see rank	4.54%	4.39%
85 years and over	100	2.46%, 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.