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10923 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 8,705

Median Age (see rank)

10923 Zip Code	39.40 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

10923 Zip Code	36.00 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

10923 Zip Code	41.10 years old
New York	39.60 years old
U.S.	38.80 years old

	10923 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	425	4.88%, see rank	5.97%	6.36%
5 to 9 years	377	4.33%, see rank	5.90%	6.51%
10 to 14 years	669	7.69%, see rank	6.07%	6.59%
15 to 19 years	801	9.20%, see rank	6.71%	6.85%
20 to 24 years	606	6.96%, see rank	7.33%	7.13%
25 to 34 years	1,106	12.71%, see rank	14.09%	13.47%
35 to 44 years	1,075	12.35%, see rank	13.02%	12.96%
45 to 54 years	1,716	19.71%, see rank	14.51%	14.09%
55 to 64 years	919	10.56%, see rank	12.35%	12.29%
65 to 74 years	583	6.70%, see rank	7.55%	7.64%
75 to 84	307	3.53%, see rank	4.42%	4.25%
85 years and over	121	1.39%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 8,732

Median Age (see rank)

10923 Zip Code	38.10 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10923 Zip Code	36.80 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10923 Zip Code	39.30 years old
New York	39.40 years old
U.S.	38.50 years old

	10923 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	527	6.04%, see rank	5.96%	6.54%
5 to 9 years	555	6.36%, see rank	6.01%	6.59%
10 to 14 years	591	6.77%, see rank	6.25%	6.70%
15 to 19 years	671	7.68%, see rank	7.05%	7.14%
20 to 24 years	552	6.32%, see rank	7.28%	6.99%
25 to 34 years	1,146	13.12%, see rank	13.72%	13.30%
35 to 44 years	1,202	13.77%, see rank	13.47%	13.30%
45 to 54 years	1,458	16.70%, see rank	14.86%	14.58%
55 to 64 years	977	11.19%, see rank	11.89%	11.82%
65 to 74 years	615	7.04%, see rank	7.02%	7.03%
75 to 84	329	3.77%, see rank	4.47%	4.23%
85 years and over	109	1.25%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 8,736

Median Age (see rank)

10923 Zip Code	36.20 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10923 Zip Code	35.90 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10923 Zip Code	36.80 years old
New York	39.40 years old
U.S.	38.50 years old

	10923 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	619	7.09%, see rank	5.98%	6.51%
5 to 9 years	368	4.21%, see rank	5.97%	6.57%
10 to 14 years	541	6.19%, see rank	6.25%	6.68%
15 to 19 years	740	8.47%, see rank	6.99%	7.09%
20 to 24 years	555	6.35%, see rank	7.27%	7.04%
25 to 34 years	1,418	16.23%, see rank	13.78%	13.32%
35 to 44 years	1,206	13.80%, see rank	13.50%	13.34%
45 to 54 years	1,474	16.87%, see rank	14.74%	14.44%
55 to 64 years	755	8.64%, see rank	11.91%	11.84%
65 to 74 years	706	8.08%, see rank	7.11%	7.12%
75 to 84	208	2.38%, see rank	4.49%	4.25%
85 years and over	146	1.67%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 9,273

Median Age (see rank)

10923 Zip Code	35.70 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

10923 Zip Code	34.90 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

10923 Zip Code	36.40 years old
New York	37.20 years old
U.S.	36.50 years old

	10923 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	633	6.83%, see rank	6.53%	6.81%
5 to 9 years	714	7.70%, see rank	7.12%	7.30%
10 to 14 years	744	8.02%, see rank	7.02%	7.29%
15 to 19 years	599	6.46%, see rank	6.78%	7.18%
20 to 24 years	527	5.68%, see rank	6.56%	6.74%
25 to 34 years	1,306	14.08%, see rank	14.53%	14.18%
35 to 44 years	1,666	17.97%, see rank	16.20%	16.04%
45 to 54 years	1,270	13.70%, see rank	13.45%	13.39%
55 to 64 years	976	10.53%, see rank	8.90%	8.63%
65 to 74 years	549	5.92%, see rank	6.72%	6.54%
75 to 84	227	2.45%, see rank	4.54%	4.39%
85 years and over	62	0.67%, 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.