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13053 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,283

Median Age (see rank)

13053 Zip Code	43.30 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13053 Zip Code	40.30 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13053 Zip Code	45.40 years old
New York	39.60 years old
U.S.	38.80 years old

	13053 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	189	4.41%, see rank	5.97%	6.36%
5 to 9 years	280	6.54%, see rank	5.90%	6.51%
10 to 14 years	267	6.23%, see rank	6.07%	6.59%
15 to 19 years	313	7.31%, see rank	6.71%	6.85%
20 to 24 years	203	4.74%, see rank	7.33%	7.13%
25 to 34 years	573	13.38%, see rank	14.09%	13.47%
35 to 44 years	386	9.01%, see rank	13.02%	12.96%
45 to 54 years	715	16.69%, see rank	14.51%	14.09%
55 to 64 years	761	17.77%, see rank	12.35%	12.29%
65 to 74 years	310	7.24%, see rank	7.55%	7.64%
75 to 84	138	3.22%, see rank	4.42%	4.25%
85 years and over	148	3.46%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 5,015

Median Age (see rank)

13053 Zip Code	35.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13053 Zip Code	33.80 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13053 Zip Code	36.70 years old
New York	39.40 years old
U.S.	38.50 years old

	13053 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	236	4.71%, see rank	5.96%	6.54%
5 to 9 years	259	5.16%, see rank	6.01%	6.59%
10 to 14 years	276	5.50%, see rank	6.25%	6.70%
15 to 19 years	736	14.68%, see rank	7.05%	7.14%
20 to 24 years	503	10.03%, see rank	7.28%	6.99%
25 to 34 years	481	9.59%, see rank	13.72%	13.30%
35 to 44 years	566	11.29%, see rank	13.47%	13.30%
45 to 54 years	721	14.38%, see rank	14.86%	14.58%
55 to 64 years	665	13.26%, see rank	11.89%	11.82%
65 to 74 years	326	6.50%, see rank	7.02%	7.03%
75 to 84	168	3.35%, see rank	4.47%	4.23%
85 years and over	78	1.56%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 3,887

Median Age (see rank)

13053 Zip Code	41.40 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13053 Zip Code	38.40 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13053 Zip Code	45.40 years old
New York	39.40 years old
U.S.	38.50 years old

	13053 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	196	5.04%, see rank	5.98%	6.51%
5 to 9 years	221	5.69%, see rank	5.97%	6.57%
10 to 14 years	238	6.12%, see rank	6.25%	6.68%
15 to 19 years	271	6.97%, see rank	6.99%	7.09%
20 to 24 years	241	6.20%, see rank	7.27%	7.04%
25 to 34 years	526	13.53%, see rank	13.78%	13.32%
35 to 44 years	394	10.14%, see rank	13.50%	13.34%
45 to 54 years	666	17.13%, see rank	14.74%	14.44%
55 to 64 years	605	15.56%, see rank	11.91%	11.84%
65 to 74 years	300	7.72%, see rank	7.11%	7.12%
75 to 84	148	3.81%, see rank	4.49%	4.25%
85 years and over	81	2.08%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,413

Median Age (see rank)

13053 Zip Code	35.10 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13053 Zip Code	33.80 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13053 Zip Code	36.30 years old
New York	37.20 years old
U.S.	36.50 years old

	13053 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	269	6.10%, see rank	6.53%	6.81%
5 to 9 years	351	7.95%, see rank	7.12%	7.30%
10 to 14 years	333	7.55%, see rank	7.02%	7.29%
15 to 19 years	366	8.29%, see rank	6.78%	7.18%
20 to 24 years	334	7.57%, see rank	6.56%	6.74%
25 to 34 years	549	12.44%, see rank	14.53%	14.18%
35 to 44 years	700	15.86%, see rank	16.20%	16.04%
45 to 54 years	744	16.86%, see rank	13.45%	13.39%
55 to 64 years	370	8.38%, see rank	8.90%	8.63%
65 to 74 years	209	4.74%, see rank	6.72%	6.54%
75 to 84	148	3.35%, see rank	4.54%	4.39%
85 years and over	40	0.91%, 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.