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12567 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 2,928

Median Age (see rank)

12567 Zip Code	48.30 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12567 Zip Code	48.30 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12567 Zip Code	48.20 years old
New York	39.60 years old
U.S.	38.80 years old

	12567 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	89	3.04%, see rank	5.97%	6.36%
5 to 9 years	150	5.12%, see rank	5.90%	6.51%
10 to 14 years	147	5.02%, see rank	6.07%	6.59%
15 to 19 years	152	5.19%, see rank	6.71%	6.85%
20 to 24 years	139	4.75%, see rank	7.33%	7.13%
25 to 34 years	282	9.63%, see rank	14.09%	13.47%
35 to 44 years	362	12.36%, see rank	13.02%	12.96%
45 to 54 years	469	16.02%, see rank	14.51%	14.09%
55 to 64 years	519	17.73%, see rank	12.35%	12.29%
65 to 74 years	365	12.47%, see rank	7.55%	7.64%
75 to 84	163	5.57%, see rank	4.42%	4.25%
85 years and over	91	3.11%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 2,854

Median Age (see rank)

12567 Zip Code	45.90 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12567 Zip Code	45.40 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12567 Zip Code	46.40 years old
New York	39.40 years old
U.S.	38.50 years old

	12567 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	134	4.70%, see rank	5.96%	6.54%
5 to 9 years	170	5.96%, see rank	6.01%	6.59%
10 to 14 years	172	6.03%, see rank	6.25%	6.70%
15 to 19 years	159	5.57%, see rank	7.05%	7.14%
20 to 24 years	151	5.29%, see rank	7.28%	6.99%
25 to 34 years	268	9.39%, see rank	13.72%	13.30%
35 to 44 years	338	11.84%, see rank	13.47%	13.30%
45 to 54 years	486	17.03%, see rank	14.86%	14.58%
55 to 64 years	477	16.71%, see rank	11.89%	11.82%
65 to 74 years	266	9.32%, see rank	7.02%	7.03%
75 to 84	177	6.20%, see rank	4.47%	4.23%
85 years and over	56	1.96%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 2,667

Median Age (see rank)

12567 Zip Code	48.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12567 Zip Code	47.70 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12567 Zip Code	49.30 years old
New York	39.40 years old
U.S.	38.50 years old

	12567 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	72	2.70%, see rank	5.98%	6.51%
5 to 9 years	124	4.65%, see rank	5.97%	6.57%
10 to 14 years	131	4.91%, see rank	6.25%	6.68%
15 to 19 years	144	5.40%, see rank	6.99%	7.09%
20 to 24 years	136	5.10%, see rank	7.27%	7.04%
25 to 34 years	240	9.00%, see rank	13.78%	13.32%
35 to 44 years	329	12.34%, see rank	13.50%	13.34%
45 to 54 years	564	21.15%, see rank	14.74%	14.44%
55 to 64 years	391	14.66%, see rank	11.91%	11.84%
65 to 74 years	282	10.57%, see rank	7.11%	7.12%
75 to 84	200	7.50%, see rank	4.49%	4.25%
85 years and over	54	2.02%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 2,938

Median Age (see rank)

12567 Zip Code	40.40 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12567 Zip Code	40.50 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12567 Zip Code	40.10 years old
New York	37.20 years old
U.S.	36.50 years old

	12567 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	149	5.07%, see rank	6.53%	6.81%
5 to 9 years	183	6.23%, see rank	7.12%	7.30%
10 to 14 years	252	8.58%, see rank	7.02%	7.29%
15 to 19 years	230	7.83%, see rank	6.78%	7.18%
20 to 24 years	122	4.15%, see rank	6.56%	6.74%
25 to 34 years	264	8.99%, see rank	14.53%	14.18%
35 to 44 years	533	18.14%, see rank	16.20%	16.04%
45 to 54 years	468	15.93%, see rank	13.45%	13.39%
55 to 64 years	302	10.28%, see rank	8.90%	8.63%
65 to 74 years	241	8.20%, see rank	6.72%	6.54%
75 to 84	145	4.94%, see rank	4.54%	4.39%
85 years and over	49	1.67%, 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.