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14432 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 6,304

Median Age (see rank)

14432 Zip Code	39.70 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14432 Zip Code	41.30 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14432 Zip Code	38.80 years old
New York	39.60 years old
U.S.	38.80 years old

	14432 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	430	6.82%, see rank	5.97%	6.36%
5 to 9 years	455	7.22%, see rank	5.90%	6.51%
10 to 14 years	516	8.19%, see rank	6.07%	6.59%
15 to 19 years	388	6.15%, see rank	6.71%	6.85%
20 to 24 years	365	5.79%, see rank	7.33%	7.13%
25 to 34 years	759	12.04%, see rank	14.09%	13.47%
35 to 44 years	654	10.37%, see rank	13.02%	12.96%
45 to 54 years	805	12.77%, see rank	14.51%	14.09%
55 to 64 years	871	13.82%, see rank	12.35%	12.29%
65 to 74 years	543	8.61%, see rank	7.55%	7.64%
75 to 84	320	5.08%, see rank	4.42%	4.25%
85 years and over	198	3.14%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 5,726

Median Age (see rank)

14432 Zip Code	43.10 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14432 Zip Code	41.20 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14432 Zip Code	45.10 years old
New York	39.40 years old
U.S.	38.50 years old

	14432 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	304	5.31%, see rank	5.96%	6.54%
5 to 9 years	362	6.32%, see rank	6.01%	6.59%
10 to 14 years	368	6.43%, see rank	6.25%	6.70%
15 to 19 years	386	6.74%, see rank	7.05%	7.14%
20 to 24 years	302	5.27%, see rank	7.28%	6.99%
25 to 34 years	563	9.83%, see rank	13.72%	13.30%
35 to 44 years	738	12.89%, see rank	13.47%	13.30%
45 to 54 years	991	17.31%, see rank	14.86%	14.58%
55 to 64 years	700	12.22%, see rank	11.89%	11.82%
65 to 74 years	486	8.49%, see rank	7.02%	7.03%
75 to 84	315	5.50%, see rank	4.47%	4.23%
85 years and over	211	3.68%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 5,813

Median Age (see rank)

14432 Zip Code	42.10 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14432 Zip Code	42.40 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14432 Zip Code	41.50 years old
New York	39.40 years old
U.S.	38.50 years old

	14432 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	470	8.09%, see rank	5.98%	6.51%
5 to 9 years	337	5.80%, see rank	5.97%	6.57%
10 to 14 years	454	7.81%, see rank	6.25%	6.68%
15 to 19 years	326	5.61%, see rank	6.99%	7.09%
20 to 24 years	316	5.44%, see rank	7.27%	7.04%
25 to 34 years	663	11.41%, see rank	13.78%	13.32%
35 to 44 years	518	8.91%, see rank	13.50%	13.34%
45 to 54 years	867	14.91%, see rank	14.74%	14.44%
55 to 64 years	875	15.05%, see rank	11.91%	11.84%
65 to 74 years	499	8.58%, see rank	7.11%	7.12%
75 to 84	310	5.33%, see rank	4.49%	4.25%
85 years and over	178	3.06%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 6,106

Median Age (see rank)

14432 Zip Code	37.80 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14432 Zip Code	36.50 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14432 Zip Code	38.90 years old
New York	37.20 years old
U.S.	36.50 years old

	14432 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	372	6.09%, see rank	6.53%	6.81%
5 to 9 years	457	7.48%, see rank	7.12%	7.30%
10 to 14 years	477	7.81%, see rank	7.02%	7.29%
15 to 19 years	436	7.14%, see rank	6.78%	7.18%
20 to 24 years	251	4.11%, see rank	6.56%	6.74%
25 to 34 years	747	12.23%, see rank	14.53%	14.18%
35 to 44 years	1,092	17.88%, see rank	16.20%	16.04%
45 to 54 years	843	13.81%, see rank	13.45%	13.39%
55 to 64 years	569	9.32%, see rank	8.90%	8.63%
65 to 74 years	368	6.03%, see rank	6.72%	6.54%
75 to 84	330	5.40%, see rank	4.54%	4.39%
85 years and over	164	2.69%, 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.