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12053 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,605

Median Age (see rank)

12053 Zip Code	45.10 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12053 Zip Code	43.60 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12053 Zip Code	45.40 years old
New York	39.60 years old
U.S.	38.80 years old

	12053 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	191	4.15%, see rank	5.97%	6.36%
5 to 9 years	157	3.41%, see rank	5.90%	6.51%
10 to 14 years	279	6.06%, see rank	6.07%	6.59%
15 to 19 years	382	8.30%, see rank	6.71%	6.85%
20 to 24 years	285	6.19%, see rank	7.33%	7.13%
25 to 34 years	443	9.62%, see rank	14.09%	13.47%
35 to 44 years	552	11.99%, see rank	13.02%	12.96%
45 to 54 years	845	18.35%, see rank	14.51%	14.09%
55 to 64 years	808	17.55%, see rank	12.35%	12.29%
65 to 74 years	358	7.77%, see rank	7.55%	7.64%
75 to 84	208	4.52%, see rank	4.42%	4.25%
85 years and over	97	2.11%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,587

Median Age (see rank)

12053 Zip Code	43.40 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12053 Zip Code	42.80 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12053 Zip Code	43.80 years old
New York	39.40 years old
U.S.	38.50 years old

	12053 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	224	4.88%, see rank	5.96%	6.54%
5 to 9 years	273	5.95%, see rank	6.01%	6.59%
10 to 14 years	331	7.22%, see rank	6.25%	6.70%
15 to 19 years	343	7.48%, see rank	7.05%	7.14%
20 to 24 years	198	4.32%, see rank	7.28%	6.99%
25 to 34 years	386	8.42%, see rank	13.72%	13.30%
35 to 44 years	659	14.37%, see rank	13.47%	13.30%
45 to 54 years	882	19.23%, see rank	14.86%	14.58%
55 to 64 years	719	15.67%, see rank	11.89%	11.82%
65 to 74 years	351	7.65%, see rank	7.02%	7.03%
75 to 84	162	3.53%, see rank	4.47%	4.23%
85 years and over	59	1.29%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 3,825

Median Age (see rank)

12053 Zip Code	45.40 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12053 Zip Code	43.20 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12053 Zip Code	48.20 years old
New York	39.40 years old
U.S.	38.50 years old

	12053 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	152	3.97%, see rank	5.98%	6.51%
5 to 9 years	130	3.40%, see rank	5.97%	6.57%
10 to 14 years	218	5.70%, see rank	6.25%	6.68%
15 to 19 years	300	7.84%, see rank	6.99%	7.09%
20 to 24 years	258	6.75%, see rank	7.27%	7.04%
25 to 34 years	373	9.75%, see rank	13.78%	13.32%
35 to 44 years	460	12.03%, see rank	13.50%	13.34%
45 to 54 years	765	20.00%, see rank	14.74%	14.44%
55 to 64 years	691	18.07%, see rank	11.91%	11.84%
65 to 74 years	297	7.76%, see rank	7.11%	7.12%
75 to 84	119	3.11%, see rank	4.49%	4.25%
85 years and over	62	1.62%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,497

Median Age (see rank)

12053 Zip Code	38.00 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12053 Zip Code	38.20 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12053 Zip Code	37.70 years old
New York	37.20 years old
U.S.	36.50 years old

	12053 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	291	6.47%, see rank	6.53%	6.81%
5 to 9 years	361	8.03%, see rank	7.12%	7.30%
10 to 14 years	371	8.25%, see rank	7.02%	7.29%
15 to 19 years	323	7.18%, see rank	6.78%	7.18%
20 to 24 years	145	3.22%, see rank	6.56%	6.74%
25 to 34 years	514	11.43%, see rank	14.53%	14.18%
35 to 44 years	852	18.95%, see rank	16.20%	16.04%
45 to 54 years	767	17.06%, see rank	13.45%	13.39%
55 to 64 years	438	9.74%, see rank	8.90%	8.63%
65 to 74 years	248	5.51%, see rank	6.72%	6.54%
75 to 84	149	3.31%, see rank	4.54%	4.39%
85 years and over	38	0.85%, 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.