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12833 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,111

Median Age (see rank)

12833 Zip Code	47.10 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12833 Zip Code	44.00 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12833 Zip Code	49.30 years old
New York	39.60 years old
U.S.	38.80 years old

	12833 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	147	3.58%, see rank	5.97%	6.36%
5 to 9 years	340	8.27%, see rank	5.90%	6.51%
10 to 14 years	282	6.86%, see rank	6.07%	6.59%
15 to 19 years	185	4.50%, see rank	6.71%	6.85%
20 to 24 years	113	2.75%, see rank	7.33%	7.13%
25 to 34 years	466	11.34%, see rank	14.09%	13.47%
35 to 44 years	458	11.14%, see rank	13.02%	12.96%
45 to 54 years	654	15.91%, see rank	14.51%	14.09%
55 to 64 years	804	19.56%, see rank	12.35%	12.29%
65 to 74 years	391	9.51%, see rank	7.55%	7.64%
75 to 84	147	3.58%, see rank	4.42%	4.25%
85 years and over	124	3.02%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,401

Median Age (see rank)

12833 Zip Code	41.60 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12833 Zip Code	41.40 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12833 Zip Code	41.80 years old
New York	39.40 years old
U.S.	38.50 years old

	12833 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	258	5.86%, see rank	5.96%	6.54%
5 to 9 years	263	5.98%, see rank	6.01%	6.59%
10 to 14 years	306	6.95%, see rank	6.25%	6.70%
15 to 19 years	301	6.84%, see rank	7.05%	7.14%
20 to 24 years	208	4.73%, see rank	7.28%	6.99%
25 to 34 years	435	9.88%, see rank	13.72%	13.30%
35 to 44 years	652	14.81%, see rank	13.47%	13.30%
45 to 54 years	890	20.22%, see rank	14.86%	14.58%
55 to 64 years	604	13.72%, see rank	11.89%	11.82%
65 to 74 years	288	6.54%, see rank	7.02%	7.03%
75 to 84	142	3.23%, see rank	4.47%	4.23%
85 years and over	54	1.23%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,160

Median Age (see rank)

12833 Zip Code	49.20 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12833 Zip Code	44.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12833 Zip Code	51.30 years old
New York	39.40 years old
U.S.	38.50 years old

	12833 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	188	4.52%, see rank	5.98%	6.51%
5 to 9 years	265	6.37%, see rank	5.97%	6.57%
10 to 14 years	229	5.50%, see rank	6.25%	6.68%
15 to 19 years	219	5.26%, see rank	6.99%	7.09%
20 to 24 years	170	4.09%, see rank	7.27%	7.04%
25 to 34 years	369	8.87%, see rank	13.78%	13.32%
35 to 44 years	483	11.61%, see rank	13.50%	13.34%
45 to 54 years	726	17.45%, see rank	14.74%	14.44%
55 to 64 years	824	19.81%, see rank	11.91%	11.84%
65 to 74 years	428	10.29%, see rank	7.11%	7.12%
75 to 84	140	3.37%, see rank	4.49%	4.25%
85 years and over	119	2.86%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,492

Median Age (see rank)

12833 Zip Code	36.50 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12833 Zip Code	36.50 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12833 Zip Code	36.50 years old
New York	37.20 years old
U.S.	36.50 years old

	12833 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	267	5.94%, see rank	6.53%	6.81%
5 to 9 years	365	8.13%, see rank	7.12%	7.30%
10 to 14 years	389	8.66%, see rank	7.02%	7.29%
15 to 19 years	331	7.37%, see rank	6.78%	7.18%
20 to 24 years	219	4.88%, see rank	6.56%	6.74%
25 to 34 years	557	12.40%, see rank	14.53%	14.18%
35 to 44 years	897	19.97%, see rank	16.20%	16.04%
45 to 54 years	703	15.65%, see rank	13.45%	13.39%
55 to 64 years	360	8.01%, see rank	8.90%	8.63%
65 to 74 years	257	5.72%, see rank	6.72%	6.54%
75 to 84	119	2.65%, see rank	4.54%	4.39%
85 years and over	28	0.62%, 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.