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13158 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 1,676

Median Age (see rank)

13158 Zip Code	41.90 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13158 Zip Code	41.30 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13158 Zip Code	42.00 years old
New York	39.60 years old
U.S.	38.80 years old

	13158 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	78	4.65%, see rank	5.97%	6.36%
5 to 9 years	110	6.56%, see rank	5.90%	6.51%
10 to 14 years	164	9.79%, see rank	6.07%	6.59%
15 to 19 years	109	6.50%, see rank	6.71%	6.85%
20 to 24 years	99	5.91%, see rank	7.33%	7.13%
25 to 34 years	148	8.83%, see rank	14.09%	13.47%
35 to 44 years	196	11.69%, see rank	13.02%	12.96%
45 to 54 years	273	16.29%, see rank	14.51%	14.09%
55 to 64 years	235	14.02%, see rank	12.35%	12.29%
65 to 74 years	153	9.13%, see rank	7.55%	7.64%
75 to 84	87	5.19%, see rank	4.42%	4.25%
85 years and over	24	1.43%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 1,855

Median Age (see rank)

13158 Zip Code	40.00 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13158 Zip Code	40.30 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13158 Zip Code	39.60 years old
New York	39.40 years old
U.S.	38.50 years old

	13158 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	101	5.44%, see rank	5.96%	6.54%
5 to 9 years	120	6.47%, see rank	6.01%	6.59%
10 to 14 years	150	8.09%, see rank	6.25%	6.70%
15 to 19 years	168	9.06%, see rank	7.05%	7.14%
20 to 24 years	88	4.74%, see rank	7.28%	6.99%
25 to 34 years	214	11.54%, see rank	13.72%	13.30%
35 to 44 years	227	12.24%, see rank	13.47%	13.30%
45 to 54 years	301	16.23%, see rank	14.86%	14.58%
55 to 64 years	268	14.45%, see rank	11.89%	11.82%
65 to 74 years	133	7.17%, see rank	7.02%	7.03%
75 to 84	68	3.67%, see rank	4.47%	4.23%
85 years and over	17	0.92%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 1,891

Median Age (see rank)

13158 Zip Code	37.00 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13158 Zip Code	36.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13158 Zip Code	41.30 years old
New York	39.40 years old
U.S.	38.50 years old

	13158 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	104	5.50%, see rank	5.98%	6.51%
5 to 9 years	108	5.71%, see rank	5.97%	6.57%
10 to 14 years	206	10.89%, see rank	6.25%	6.68%
15 to 19 years	184	9.73%, see rank	6.99%	7.09%
20 to 24 years	129	6.82%, see rank	7.27%	7.04%
25 to 34 years	141	7.46%, see rank	13.78%	13.32%
35 to 44 years	285	15.07%, see rank	13.50%	13.34%
45 to 54 years	236	12.48%, see rank	14.74%	14.44%
55 to 64 years	261	13.80%, see rank	11.91%	11.84%
65 to 74 years	148	7.83%, see rank	7.11%	7.12%
75 to 84	63	3.33%, see rank	4.49%	4.25%
85 years and over	26	1.37%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 2,036

Median Age (see rank)

13158 Zip Code	35.00 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13158 Zip Code	35.10 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13158 Zip Code	34.90 years old
New York	37.20 years old
U.S.	36.50 years old

	13158 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	137	6.73%, see rank	6.53%	6.81%
5 to 9 years	201	9.87%, see rank	7.12%	7.30%
10 to 14 years	181	8.89%, see rank	7.02%	7.29%
15 to 19 years	165	8.10%, see rank	6.78%	7.18%
20 to 24 years	80	3.93%, see rank	6.56%	6.74%
25 to 34 years	254	12.48%, see rank	14.53%	14.18%
35 to 44 years	357	17.53%, see rank	16.20%	16.04%
45 to 54 years	289	14.19%, see rank	13.45%	13.39%
55 to 64 years	176	8.64%, see rank	8.90%	8.63%
65 to 74 years	110	5.40%, see rank	6.72%	6.54%
75 to 84	64	3.14%, see rank	4.54%	4.39%
85 years and over	22	1.08%, 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.