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11752 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 9,351

Median Age (see rank)

11752 Zip Code	42.90 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

11752 Zip Code	41.50 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

11752 Zip Code	43.80 years old
New York	39.60 years old
U.S.	38.80 years old

	11752 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	469	5.02%, see rank	5.97%	6.36%
5 to 9 years	529	5.66%, see rank	5.90%	6.51%
10 to 14 years	649	6.94%, see rank	6.07%	6.59%
15 to 19 years	635	6.79%, see rank	6.71%	6.85%
20 to 24 years	636	6.80%, see rank	7.33%	7.13%
25 to 34 years	968	10.35%, see rank	14.09%	13.47%
35 to 44 years	1,116	11.93%, see rank	13.02%	12.96%
45 to 54 years	1,956	20.92%, see rank	14.51%	14.09%
55 to 64 years	1,126	12.04%, see rank	12.35%	12.29%
65 to 74 years	690	7.38%, see rank	7.55%	7.64%
75 to 84	456	4.88%, see rank	4.42%	4.25%
85 years and over	121	1.29%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 9,531

Median Age (see rank)

11752 Zip Code	39.60 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

11752 Zip Code	38.20 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

11752 Zip Code	40.90 years old
New York	39.40 years old
U.S.	38.50 years old

	11752 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	512	5.37%, see rank	5.96%	6.54%
5 to 9 years	584	6.13%, see rank	6.01%	6.59%
10 to 14 years	705	7.40%, see rank	6.25%	6.70%
15 to 19 years	788	8.27%, see rank	7.05%	7.14%
20 to 24 years	623	6.54%, see rank	7.28%	6.99%
25 to 34 years	1,007	10.57%, see rank	13.72%	13.30%
35 to 44 years	1,380	14.48%, see rank	13.47%	13.30%
45 to 54 years	1,812	19.01%, see rank	14.86%	14.58%
55 to 64 years	962	10.09%, see rank	11.89%	11.82%
65 to 74 years	672	7.05%, see rank	7.02%	7.03%
75 to 84	385	4.04%, see rank	4.47%	4.23%
85 years and over	101	1.06%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 9,184

Median Age (see rank)

11752 Zip Code	42.60 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

11752 Zip Code	40.90 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

11752 Zip Code	43.40 years old
New York	39.40 years old
U.S.	38.50 years old

	11752 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	499	5.43%, see rank	5.98%	6.51%
5 to 9 years	488	5.31%, see rank	5.97%	6.57%
10 to 14 years	613	6.67%, see rank	6.25%	6.68%
15 to 19 years	694	7.56%, see rank	6.99%	7.09%
20 to 24 years	519	5.65%, see rank	7.27%	7.04%
25 to 34 years	944	10.28%, see rank	13.78%	13.32%
35 to 44 years	1,327	14.45%, see rank	13.50%	13.34%
45 to 54 years	1,985	21.61%, see rank	14.74%	14.44%
55 to 64 years	911	9.92%, see rank	11.91%	11.84%
65 to 74 years	690	7.51%, see rank	7.11%	7.12%
75 to 84	438	4.77%, see rank	4.49%	4.25%
85 years and over	76	0.83%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 9,881

Median Age (see rank)

11752 Zip Code	35.30 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

11752 Zip Code	34.60 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

11752 Zip Code	35.80 years old
New York	37.20 years old
U.S.	36.50 years old

	11752 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	713	7.22%, see rank	6.53%	6.81%
5 to 9 years	845	8.55%, see rank	7.12%	7.30%
10 to 14 years	826	8.36%, see rank	7.02%	7.29%
15 to 19 years	658	6.66%, see rank	6.78%	7.18%
20 to 24 years	464	4.70%, see rank	6.56%	6.74%
25 to 34 years	1,386	14.03%, see rank	14.53%	14.18%
35 to 44 years	1,888	19.11%, see rank	16.20%	16.04%
45 to 54 years	1,189	12.03%, see rank	13.45%	13.39%
55 to 64 years	933	9.44%, see rank	8.90%	8.63%
65 to 74 years	604	6.11%, see rank	6.72%	6.54%
75 to 84	301	3.05%, see rank	4.54%	4.39%
85 years and over	74	0.75%, 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.