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ZIP Code Database - Facts & Stats

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Zip Code 17776 - 2010 Census Data

Profile of General Population and Housing Characteristics: 2010

ZIP Code 17776 Data

Zip Code:17776
City:Waterville
State:PA [Pennsylvania]
Counties: LYCOMING, PA
City Alias(es):Waterville
Area Code:570
Time Zone: Eastern (GMT -05:00)
Observes Day Light Savings:Yes
Classification: [Non-Unique]




2010 Census data for ZIP Code 17776

POPULATION BY SEX AND AGE    
Total 2010 Census Population for ZIP Code 17776 295 100.0%
Under 5 years 10 3.4%
5 to 9 years 9 3.1%
10 to 14 years 15 5.1%
15 to 19 years 17 5.8%
20 to 24 years 9 3.1%
25 to 29 years 8 2.7%
30 to 34 years 11 3.7%
35 to 39 years 7 2.4%
40 to 44 years 18 6.1%
45 to 49 years 24 8.1%
50 to 54 years 24 8.1%
55 to 59 years 23 7.8%
60 to 64 years 29 9.8%
65 to 69 years 26 8.8%
70 to 74 years 28 9.5%
75 to 79 years 18 6.1%
80 to 84 years 10 3.4%
85 years and over 9 3.1%
     
Median age (years) 54.3 ( X )
     
16 years and over 259 87.8%
18 years and over 251 85.1%
21 years and over 244 82.7%
62 years and over 108 36.6%
65 years and over 91 30.8%
     
Male population of ZIP Code 17776 152 51.5%
Under 5 years 3 1.0%
5 to 9 years 3 1.0%
10 to 14 years 9 3.1%
15 to 19 years 11 3.7%
20 to 24 years 3 1.0%
25 to 29 years 6 2.0%
30 to 34 years 5 1.7%
35 to 39 years 6 2.0%
40 to 44 years 8 2.7%
45 to 49 years 14 4.7%
50 to 54 years 10 3.4%
55 to 59 years 10 3.4%
60 to 64 years 16 5.4%
65 to 69 years 17 5.8%
70 to 74 years 14 4.7%
75 to 79 years 7 2.4%
80 to 84 years 6 2.0%
85 years and over 4 1.4%
     
Median age (years) 54 ( X )
     
16 years and over 136 46.1%
18 years and over 131 44.4%
21 years and over 126 42.7%
62 years and over 59 20.0%
65 years and over 48 16.3%
     
Female population of ZIP Code 17776 143 48.5%
Under 5 years 7 2.4%
5 to 9 years 6 2.0%
10 to 14 years 6 2.0%
15 to 19 years 6 2.0%
20 to 24 years 6 2.0%
25 to 29 years 2 0.7%
30 to 34 years 6 2.0%
35 to 39 years 1 0.3%
40 to 44 years 10 3.4%
45 to 49 years 10 3.4%
50 to 54 years 14 4.7%
55 to 59 years 13 4.4%
60 to 64 years 13 4.4%
65 to 69 years 9 3.1%
70 to 74 years 14 4.7%
75 to 79 years 11 3.7%
80 to 84 years 4 1.4%
85 years and over 5 1.7%
     
Median age (years) 54.4 ( X )
     
16 years and over 123 41.7%
18 years and over 120 40.7%
21 years and over 118 40.0%
62 years and over 49 16.6%
65 years and over 43 14.6%
     
POPULATION BY RACE FOR ZIP Code 17776    
What is the Population of ZIP Code 17776 295 100.0%
One Race 293 99.3%
White 292 99.0%
Black or African American 1 0.3%
American Indian and Alaska Native 0 0.0%
Asian 0 0.0%
Asian Indian 0 0.0%
Chinese 0 0.0%
Filipino 0 0.0%
Japanese 0 0.0%
Korean 0 0.0%
Vietnamese 0 0.0%
Other Asian [1] 0 0.0%
Native Hawaiian and Other Pacific Islander 0 0.0%
Native Hawaiian 0 0.0%
Guamanian or Chamorro 0 0.0%
Samoan 0 0.0%
Other Pacific Islander [2] 0 0.0%
Some Other Race 0 0.0%
Two or More Races 2 0.7%
White; American Indian and Alaska Native [3] 2 0.7%
White; Asian [3] 0 0.0%
White; Black or African American [3] 0 0.0%
White; Some Other Race [3] 0 0.0%
     
Race alone or in combination with one or more other races: [4]    
White 294 99.7%
Black or African American 1 0.3%
American Indian and Alaska Native 2 0.7%
Asian 0 0.0%
Native Hawaiian and Other Pacific Islander 0 0.0%
Some Other Race 0 0.0%
     
HISPANIC OR LATINO POPULATION FOR ZIP Code 17776    
Total population 295 100.0%
Hispanic or Latino (of any race) 1 0.3%
Mexican 1 0.3%
Puerto Rican 0 0.0%
Cuban 0 0.0%
Other Hispanic or Latino [5] 0 0.0%
Not Hispanic or Latino 294 99.7%
     
HISPANIC OR LATINO AND RACE    
Total population 295 100.0%
Hispanic or Latino 1 0.3%
White alone 1 0.3%
Black or African American alone 0 0.0%
American Indian and Alaska Native alone 0 0.0%
Asian alone 0 0.0%
Native Hawaiian and Other Pacific Islander alone 0 0.0%
Some Other Race alone 0 0.0%
Two or More Races 0 0.0%
Not Hispanic or Latino 294 99.7%
White alone 291 98.6%
Black or African American alone 1 0.3%
American Indian and Alaska Native alone 0 0.0%
Asian alone 0 0.0%
Native Hawaiian and Other Pacific Islander alone 0 0.0%
Some Other Race alone 0 0.0%
Two or More Races 2 0.7%
     
RELATIONSHIP    
The Population of ZIP Code 17776 295 100.0%
In households 295 100.0%
Householder 136 46.1%
Spouse [6] 81 27.5%
Child 50 16.9%
Own child under 18 years 38 12.9%
Other relatives 8 2.7%
Under 18 years 2 0.7%
65 years and over 3 1.0%
Nonrelatives 20 6.8%
Under 18 years 4 1.4%
65 years and over 3 1.0%
     
Unmarried partner 14 4.7%
In group quarters 0 0.0%
Institutionalized population 0 0.0%
Male 0 0.0%
Female 0 0.0%
Noninstitutionalized population 0 0.0%
Male 0 0.0%
Female 0 0.0%
     
HOUSEHOLDS BY TYPE    
Total households for ZIP Code 17776 136 100.0%
Family households (families) [7] 90 66.2%
With own children under 18 years 22 16.2%
     
Husband-wife family 81 59.6%
With own children under 18 years 18 13.2%
Male householder, no wife present 3 2.2%
With own children under 18 years 1 0.7%
Female householder, no husband present 6 4.4%
With own children under 18 years 3 2.2%
Nonfamily households [7] 46 33.8%
Householder living alone 34 25.0%
Male 21 15.4%
65 years and over 7 5.1%
Female 13 9.6%
65 years and over 11 8.1%
     
Households with individuals under 18 years 26 19.1%
Households with individuals 65 years and over 63 46.3%
     
Average household size of ZIP Code 17776 2.17 ( X )
Average family size for ZIP Code 17776 [7] 2.54 ( X )
     
HOUSING OCCUPANCY    
Total housing units 524 100.0%
Occupied housing units 136 26.0%
Vacant housing units 388 74.0%
For rent 3 0.6%
Rented, not occupied 1 0.2%
For sale only 11 2.1%
Sold, not occupied 1 0.2%
For seasonal, recreational, or occasional use 361 68.9%
All other vacants 11 2.1%
     
Homeowner vacancy rate (percent) [8] 8.6 ( X )
Rental vacancy rate (percent) [9] 12.5 ( X )
     
HOUSING TENURE    
Occupied housing units 136 100.0%
Owner-occupied housing units 116 85.3%
Population in owner-occupied housing units 253 ( X )
Average household size of owner-occupied units 2.18 ( X )
Renter-occupied housing units 20 14.7%
Population in renter-occupied housing units 42 ( X )
Average household size of renter-occupied units 2.1 ( X )

X Not applicable.

[1] Other Asian alone, or two or more Asian categories.

[2] Other Pacific Islander alone, or two or more Native Hawaiian and Other Pacific Islander categories.

[3] One of the four most commonly reported multiple-race combinations nationwide in Census 2000.

[4] In combination with one or more of the other races listed. The six numbers may add to more than the total population, and the six percentages may add to more than 100 percent because individuals may report more than one race.

[5] This category is composed of people whose origins are from the Dominican Republic, Spain, and Spanish-speaking Central or South American countries. It also includes general origin responses such as "Latino" or "Hispanic."

[6] "Spouse" represents spouse of the householder. It does not reflect all spouses in a household. Responses of "same-sex spouse" were edited during processing to "unmarried partner."

[7] "Family households" consist of a householder and one or more other people related to the householder by birth, marriage, or adoption. They do not include same-sex married couples even if the marriage was performed in a state issuing marriage certificates for same-sex couples. Same-sex couple households are included in the family households category if there is at least one additional person related to the householder by birth or adoption. Same-sex couple households with no relatives of the householder present are tabulated in nonfamily households. "Nonfamily households" consist of people living alone and households which do not have any members related to the householder.

[8] The homeowner vacancy rate is the proportion of the homeowner inventory that is vacant "for sale." It is computed by dividing the total number of vacant units "for sale only" by the sum of owner-occupied units, vacant units that are "for sale only," and vacant units that have been sold but not yet occupied; and then multiplying by 100.

[9] The rental vacancy rate is the proportion of the rental inventory that is vacant "for rent." It is computed by dividing the total number of vacant units "for rent" by the sum of the renter-occupied units, vacant units that are "for rent," and vacant units that have been rented but not yet occupied; and then multiplying by 100.

Source: U.S. Census Bureau, 2010 Census.