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13036 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 8,465

Median Age (see rank)

13036 Zip Code	41.40 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13036 Zip Code	42.10 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13036 Zip Code	40.70 years old
New York	39.60 years old
U.S.	38.80 years old

	13036 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	413	4.88%, see rank	5.97%	6.36%
5 to 9 years	495	5.85%, see rank	5.90%	6.51%
10 to 14 years	632	7.47%, see rank	6.07%	6.59%
15 to 19 years	497	5.87%, see rank	6.71%	6.85%
20 to 24 years	464	5.48%, see rank	7.33%	7.13%
25 to 34 years	1,215	14.35%, see rank	14.09%	13.47%
35 to 44 years	902	10.66%, see rank	13.02%	12.96%
45 to 54 years	1,341	15.84%, see rank	14.51%	14.09%
55 to 64 years	1,383	16.34%, see rank	12.35%	12.29%
65 to 74 years	668	7.89%, see rank	7.55%	7.64%
75 to 84	397	4.69%, see rank	4.42%	4.25%
85 years and over	58	0.69%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 8,680

Median Age (see rank)

13036 Zip Code	41.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13036 Zip Code	40.80 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13036 Zip Code	41.70 years old
New York	39.40 years old
U.S.	38.50 years old

	13036 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	483	5.56%, see rank	5.96%	6.54%
5 to 9 years	540	6.22%, see rank	6.01%	6.59%
10 to 14 years	611	7.04%, see rank	6.25%	6.70%
15 to 19 years	621	7.15%, see rank	7.05%	7.14%
20 to 24 years	485	5.59%, see rank	7.28%	6.99%
25 to 34 years	874	10.07%, see rank	13.72%	13.30%
35 to 44 years	1,243	14.32%, see rank	13.47%	13.30%
45 to 54 years	1,507	17.36%, see rank	14.86%	14.58%
55 to 64 years	1,082	12.47%, see rank	11.89%	11.82%
65 to 74 years	718	8.27%, see rank	7.02%	7.03%
75 to 84	410	4.72%, see rank	4.47%	4.23%
85 years and over	106	1.22%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 8,816

Median Age (see rank)

13036 Zip Code	40.90 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13036 Zip Code	40.60 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13036 Zip Code	41.10 years old
New York	39.40 years old
U.S.	38.50 years old

	13036 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	462	5.24%, see rank	5.98%	6.51%
5 to 9 years	637	7.23%, see rank	5.97%	6.57%
10 to 14 years	702	7.96%, see rank	6.25%	6.68%
15 to 19 years	522	5.92%, see rank	6.99%	7.09%
20 to 24 years	531	6.02%, see rank	7.27%	7.04%
25 to 34 years	1,033	11.72%, see rank	13.78%	13.32%
35 to 44 years	1,218	13.82%, see rank	13.50%	13.34%
45 to 54 years	1,616	18.33%, see rank	14.74%	14.44%
55 to 64 years	982	11.14%, see rank	11.91%	11.84%
65 to 74 years	713	8.09%, see rank	7.11%	7.12%
75 to 84	314	3.56%, see rank	4.49%	4.25%
85 years and over	86	0.98%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 8,462

Median Age (see rank)

13036 Zip Code	36.10 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13036 Zip Code	35.90 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13036 Zip Code	36.30 years old
New York	37.20 years old
U.S.	36.50 years old

	13036 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	501	5.92%, see rank	6.53%	6.81%
5 to 9 years	697	8.24%, see rank	7.12%	7.30%
10 to 14 years	687	8.12%, see rank	7.02%	7.29%
15 to 19 years	562	6.64%, see rank	6.78%	7.18%
20 to 24 years	383	4.53%, see rank	6.56%	6.74%
25 to 34 years	1,199	14.17%, see rank	14.53%	14.18%
35 to 44 years	1,534	18.13%, see rank	16.20%	16.04%
45 to 54 years	1,126	13.31%, see rank	13.45%	13.39%
55 to 64 years	797	9.42%, see rank	8.90%	8.63%
65 to 74 years	559	6.61%, see rank	6.72%	6.54%
75 to 84	339	4.01%, see rank	4.54%	4.39%
85 years and over	78	0.92%, 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.