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12197 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 2,560

Median Age (see rank)

12197 Zip Code	47.70 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12197 Zip Code	48.90 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12197 Zip Code	45.60 years old
New York	39.60 years old
U.S.	38.80 years old

	12197 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	74	2.89%, see rank	5.97%	6.36%
5 to 9 years	141	5.51%, see rank	5.90%	6.51%
10 to 14 years	219	8.55%, see rank	6.07%	6.59%
15 to 19 years	141	5.51%, see rank	6.71%	6.85%
20 to 24 years	119	4.65%, see rank	7.33%	7.13%
25 to 34 years	264	10.31%, see rank	14.09%	13.47%
35 to 44 years	192	7.50%, see rank	13.02%	12.96%
45 to 54 years	561	21.91%, see rank	14.51%	14.09%
55 to 64 years	312	12.19%, see rank	12.35%	12.29%
65 to 74 years	304	11.88%, see rank	7.55%	7.64%
75 to 84	171	6.68%, see rank	4.42%	4.25%
85 years and over	62	2.42%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 2,233

Median Age (see rank)

12197 Zip Code	47.10 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12197 Zip Code	46.70 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12197 Zip Code	47.90 years old
New York	39.40 years old
U.S.	38.50 years old

	12197 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	109	4.88%, see rank	5.96%	6.54%
5 to 9 years	103	4.61%, see rank	6.01%	6.59%
10 to 14 years	136	6.09%, see rank	6.25%	6.70%
15 to 19 years	140	6.27%, see rank	7.05%	7.14%
20 to 24 years	89	3.99%, see rank	7.28%	6.99%
25 to 34 years	197	8.82%, see rank	13.72%	13.30%
35 to 44 years	258	11.55%, see rank	13.47%	13.30%
45 to 54 years	386	17.29%, see rank	14.86%	14.58%
55 to 64 years	350	15.67%, see rank	11.89%	11.82%
65 to 74 years	286	12.81%, see rank	7.02%	7.03%
75 to 84	126	5.64%, see rank	4.47%	4.23%
85 years and over	53	2.37%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 2,431

Median Age (see rank)

12197 Zip Code	48.70 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12197 Zip Code	48.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12197 Zip Code	50.10 years old
New York	39.40 years old
U.S.	38.50 years old

	12197 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	29	1.19%, see rank	5.98%	6.51%
5 to 9 years	106	4.36%, see rank	5.97%	6.57%
10 to 14 years	184	7.57%, see rank	6.25%	6.68%
15 to 19 years	137	5.64%, see rank	6.99%	7.09%
20 to 24 years	99	4.07%, see rank	7.27%	7.04%
25 to 34 years	228	9.38%, see rank	13.78%	13.32%
35 to 44 years	227	9.34%, see rank	13.50%	13.34%
45 to 54 years	522	21.47%, see rank	14.74%	14.44%
55 to 64 years	324	13.33%, see rank	11.91%	11.84%
65 to 74 years	351	14.44%, see rank	7.11%	7.12%
75 to 84	164	6.75%, see rank	4.49%	4.25%
85 years and over	60	2.47%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 2,397

Median Age (see rank)

12197 Zip Code	41.90 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12197 Zip Code	41.50 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12197 Zip Code	42.50 years old
New York	37.20 years old
U.S.	36.50 years old

	12197 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	111	4.63%, see rank	6.53%	6.81%
5 to 9 years	156	6.51%, see rank	7.12%	7.30%
10 to 14 years	172	7.18%, see rank	7.02%	7.29%
15 to 19 years	201	8.39%, see rank	6.78%	7.18%
20 to 24 years	79	3.30%, see rank	6.56%	6.74%
25 to 34 years	218	9.09%, see rank	14.53%	14.18%
35 to 44 years	381	15.89%, see rank	16.20%	16.04%
45 to 54 years	367	15.31%, see rank	13.45%	13.39%
55 to 64 years	303	12.64%, see rank	8.90%	8.63%
65 to 74 years	207	8.64%, see rank	6.72%	6.54%
75 to 84	158	6.59%, see rank	4.54%	4.39%
85 years and over	44	1.84%, 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.