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14569 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 6,216

Median Age (see rank)

14569 Zip Code	45.30 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14569 Zip Code	42.10 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14569 Zip Code	46.80 years old
New York	39.60 years old
U.S.	38.80 years old

	14569 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	273	4.39%, see rank	5.97%	6.36%
5 to 9 years	351	5.65%, see rank	5.90%	6.51%
10 to 14 years	393	6.32%, see rank	6.07%	6.59%
15 to 19 years	314	5.05%, see rank	6.71%	6.85%
20 to 24 years	334	5.37%, see rank	7.33%	7.13%
25 to 34 years	541	8.70%, see rank	14.09%	13.47%
35 to 44 years	885	14.24%, see rank	13.02%	12.96%
45 to 54 years	1,100	17.70%, see rank	14.51%	14.09%
55 to 64 years	837	13.47%, see rank	12.35%	12.29%
65 to 74 years	565	9.09%, see rank	7.55%	7.64%
75 to 84	338	5.44%, see rank	4.42%	4.25%
85 years and over	285	4.58%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 6,211

Median Age (see rank)

14569 Zip Code	42.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14569 Zip Code	40.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14569 Zip Code	44.10 years old
New York	39.40 years old
U.S.	38.50 years old

	14569 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	335	5.39%, see rank	5.96%	6.54%
5 to 9 years	379	6.10%, see rank	6.01%	6.59%
10 to 14 years	395	6.36%, see rank	6.25%	6.70%
15 to 19 years	423	6.81%, see rank	7.05%	7.14%
20 to 24 years	332	5.35%, see rank	7.28%	6.99%
25 to 34 years	666	10.72%, see rank	13.72%	13.30%
35 to 44 years	822	13.23%, see rank	13.47%	13.30%
45 to 54 years	975	15.70%, see rank	14.86%	14.58%
55 to 64 years	885	14.25%, see rank	11.89%	11.82%
65 to 74 years	483	7.78%, see rank	7.02%	7.03%
75 to 84	329	5.30%, see rank	4.47%	4.23%
85 years and over	187	3.01%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 6,137

Median Age (see rank)

14569 Zip Code	42.90 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14569 Zip Code	40.10 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14569 Zip Code	47.00 years old
New York	39.40 years old
U.S.	38.50 years old

	14569 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	255	4.16%, see rank	5.98%	6.51%
5 to 9 years	280	4.56%, see rank	5.97%	6.57%
10 to 14 years	401	6.53%, see rank	6.25%	6.68%
15 to 19 years	405	6.60%, see rank	6.99%	7.09%
20 to 24 years	372	6.06%, see rank	7.27%	7.04%
25 to 34 years	496	8.08%, see rank	13.78%	13.32%
35 to 44 years	968	15.77%, see rank	13.50%	13.34%
45 to 54 years	955	15.56%, see rank	14.74%	14.44%
55 to 64 years	797	12.99%, see rank	11.91%	11.84%
65 to 74 years	514	8.38%, see rank	7.11%	7.12%
75 to 84	379	6.18%, see rank	4.49%	4.25%
85 years and over	315	5.13%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 6,481

Median Age (see rank)

14569 Zip Code	38.90 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14569 Zip Code	37.10 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14569 Zip Code	40.80 years old
New York	37.20 years old
U.S.	36.50 years old

	14569 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	368	5.68%, see rank	6.53%	6.81%
5 to 9 years	454	7.01%, see rank	7.12%	7.30%
10 to 14 years	448	6.91%, see rank	7.02%	7.29%
15 to 19 years	465	7.17%, see rank	6.78%	7.18%
20 to 24 years	310	4.78%, see rank	6.56%	6.74%
25 to 34 years	804	12.41%, see rank	14.53%	14.18%
35 to 44 years	996	15.37%, see rank	16.20%	16.04%
45 to 54 years	946	14.60%, see rank	13.45%	13.39%
55 to 64 years	540	8.33%, see rank	8.90%	8.63%
65 to 74 years	462	7.13%, see rank	6.72%	6.54%
75 to 84	436	6.73%, see rank	4.54%	4.39%
85 years and over	252	3.89%, 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.