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10913 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 5,657

Median Age (see rank)

10913 Zip Code	41.50 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

10913 Zip Code	40.70 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

10913 Zip Code	41.90 years old
New York	39.60 years old
U.S.	38.80 years old

	10913 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	224	3.96%, see rank	5.97%	6.36%
5 to 9 years	419	7.41%, see rank	5.90%	6.51%
10 to 14 years	425	7.51%, see rank	6.07%	6.59%
15 to 19 years	663	11.72%, see rank	6.71%	6.85%
20 to 24 years	494	8.73%, see rank	7.33%	7.13%
25 to 34 years	324	5.73%, see rank	14.09%	13.47%
35 to 44 years	591	10.45%, see rank	13.02%	12.96%
45 to 54 years	959	16.95%, see rank	14.51%	14.09%
55 to 64 years	641	11.33%, see rank	12.35%	12.29%
65 to 74 years	449	7.94%, see rank	7.55%	7.64%
75 to 84	397	7.02%, see rank	4.42%	4.25%
85 years and over	71	1.26%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 5,532

Median Age (see rank)

10913 Zip Code	39.80 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10913 Zip Code	38.80 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10913 Zip Code	40.50 years old
New York	39.40 years old
U.S.	38.50 years old

	10913 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	270	4.88%, see rank	5.96%	6.54%
5 to 9 years	382	6.91%, see rank	6.01%	6.59%
10 to 14 years	456	8.24%, see rank	6.25%	6.70%
15 to 19 years	583	10.54%, see rank	7.05%	7.14%
20 to 24 years	501	9.06%, see rank	7.28%	6.99%
25 to 34 years	340	6.15%, see rank	13.72%	13.30%
35 to 44 years	691	12.49%, see rank	13.47%	13.30%
45 to 54 years	956	17.28%, see rank	14.86%	14.58%
55 to 64 years	551	9.96%, see rank	11.89%	11.82%
65 to 74 years	383	6.92%, see rank	7.02%	7.03%
75 to 84	320	5.78%, see rank	4.47%	4.23%
85 years and over	99	1.79%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 5,277

Median Age (see rank)

10913 Zip Code	41.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10913 Zip Code	40.70 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10913 Zip Code	41.50 years old
New York	39.40 years old
U.S.	38.50 years old

	10913 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	199	3.77%, see rank	5.98%	6.51%
5 to 9 years	432	8.19%, see rank	5.97%	6.57%
10 to 14 years	578	10.95%, see rank	6.25%	6.68%
15 to 19 years	589	11.16%, see rank	6.99%	7.09%
20 to 24 years	405	7.67%, see rank	7.27%	7.04%
25 to 34 years	238	4.51%, see rank	13.78%	13.32%
35 to 44 years	602	11.41%, see rank	13.50%	13.34%
45 to 54 years	935	17.72%, see rank	14.74%	14.44%
55 to 64 years	577	10.93%, see rank	11.91%	11.84%
65 to 74 years	286	5.42%, see rank	7.11%	7.12%
75 to 84	352	6.67%, see rank	4.49%	4.25%
85 years and over	84	1.59%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 5,076

Median Age (see rank)

10913 Zip Code	38.30 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

10913 Zip Code	37.20 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

10913 Zip Code	39.20 years old
New York	37.20 years old
U.S.	36.50 years old

	10913 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	346	6.82%, see rank	6.53%	6.81%
5 to 9 years	382	7.53%, see rank	7.12%	7.30%
10 to 14 years	383	7.55%, see rank	7.02%	7.29%
15 to 19 years	369	7.27%, see rank	6.78%	7.18%
20 to 24 years	310	6.11%, see rank	6.56%	6.74%
25 to 34 years	494	9.73%, see rank	14.53%	14.18%
35 to 44 years	816	16.08%, see rank	16.20%	16.04%
45 to 54 years	627	12.35%, see rank	13.45%	13.39%
55 to 64 years	499	9.83%, see rank	8.90%	8.63%
65 to 74 years	505	9.95%, see rank	6.72%	6.54%
75 to 84	280	5.52%, see rank	4.54%	4.39%
85 years and over	65	1.28%, 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.