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13160 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 2,167

Median Age (see rank)

13160 Zip Code	39.70 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13160 Zip Code	39.90 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13160 Zip Code	39.60 years old
New York	39.60 years old
U.S.	38.80 years old

	13160 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	109	5.03%, see rank	5.97%	6.36%
5 to 9 years	146	6.74%, see rank	5.90%	6.51%
10 to 14 years	146	6.74%, see rank	6.07%	6.59%
15 to 19 years	233	10.75%, see rank	6.71%	6.85%
20 to 24 years	128	5.91%, see rank	7.33%	7.13%
25 to 34 years	195	9.00%, see rank	14.09%	13.47%
35 to 44 years	281	12.97%, see rank	13.02%	12.96%
45 to 54 years	345	15.92%, see rank	14.51%	14.09%
55 to 64 years	224	10.34%, see rank	12.35%	12.29%
65 to 74 years	205	9.46%, see rank	7.55%	7.64%
75 to 84	139	6.41%, see rank	4.42%	4.25%
85 years and over	16	0.74%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 2,027

Median Age (see rank)

13160 Zip Code	43.10 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13160 Zip Code	42.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13160 Zip Code	43.70 years old
New York	39.40 years old
U.S.	38.50 years old

	13160 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	88	4.34%, see rank	5.96%	6.54%
5 to 9 years	116	5.72%, see rank	6.01%	6.59%
10 to 14 years	144	7.10%, see rank	6.25%	6.70%
15 to 19 years	175	8.63%, see rank	7.05%	7.14%
20 to 24 years	99	4.88%, see rank	7.28%	6.99%
25 to 34 years	209	10.31%, see rank	13.72%	13.30%
35 to 44 years	244	12.04%, see rank	13.47%	13.30%
45 to 54 years	342	16.87%, see rank	14.86%	14.58%
55 to 64 years	268	13.22%, see rank	11.89%	11.82%
65 to 74 years	198	9.77%, see rank	7.02%	7.03%
75 to 84	109	5.38%, see rank	4.47%	4.23%
85 years and over	35	1.73%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 2,086

Median Age (see rank)

13160 Zip Code	39.50 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13160 Zip Code	37.60 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13160 Zip Code	41.00 years old
New York	39.40 years old
U.S.	38.50 years old

	13160 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	68	3.26%, see rank	5.98%	6.51%
5 to 9 years	141	6.76%, see rank	5.97%	6.57%
10 to 14 years	157	7.53%, see rank	6.25%	6.68%
15 to 19 years	236	11.31%, see rank	6.99%	7.09%
20 to 24 years	176	8.44%, see rank	7.27%	7.04%
25 to 34 years	141	6.76%, see rank	13.78%	13.32%
35 to 44 years	337	16.16%, see rank	13.50%	13.34%
45 to 54 years	290	13.90%, see rank	14.74%	14.44%
55 to 64 years	174	8.34%, see rank	11.91%	11.84%
65 to 74 years	221	10.59%, see rank	7.11%	7.12%
75 to 84	125	5.99%, see rank	4.49%	4.25%
85 years and over	20	0.96%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 1,856

Median Age (see rank)

13160 Zip Code	38.30 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13160 Zip Code	38.60 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13160 Zip Code	38.10 years old
New York	37.20 years old
U.S.	36.50 years old

	13160 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	96	5.17%, see rank	6.53%	6.81%
5 to 9 years	136	7.33%, see rank	7.12%	7.30%
10 to 14 years	163	8.78%, see rank	7.02%	7.29%
15 to 19 years	151	8.14%, see rank	6.78%	7.18%
20 to 24 years	76	4.09%, see rank	6.56%	6.74%
25 to 34 years	217	11.69%, see rank	14.53%	14.18%
35 to 44 years	310	16.70%, see rank	16.20%	16.04%
45 to 54 years	245	13.20%, see rank	13.45%	13.39%
55 to 64 years	208	11.21%, see rank	8.90%	8.63%
65 to 74 years	152	8.19%, see rank	6.72%	6.54%
75 to 84	76	4.09%, see rank	4.54%	4.39%
85 years and over	26	1.40%, 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.