15951 Zip Code Map | Maps, Demographics and Population for Saint Michael, PA

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15951 is a 5-digit zip code located in Saint Michael, Pennsylvania. Saint Michael is the primary city for 15951 and is located in Cambria. In the most recent US census the population of 15951 was 570.

There are a total of 273 housing units in 15951, Pennsylvania. A total of 59.34% (162) are currently vacant.

Heading	Statistic
Timezone	GMT-5
City Name	Saint Michael
Housing Units	273
Median Home Value	$58,900
Universities	0
Law Enforcement	0 Locations
Hospitals	0

Heading	Statistic
Current Population	570*
Avg Income	$55,343
Occupied Houses	269
Vacant Houses	162
* Population taken from the last census in 2020.

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Pennsylvania 3-Digit Zip Code Map Showing 15951

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County Map Showing 15951, Pennsylvania

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Population Figures for 15951

Total Population by Age

15951 has a total population of 570. In the bar chart and table below, this population is split into 18 different age range segments.

Most inhabitants of 15951 are in the 30 to 34 years age bracket. As of the last census, there are 158 people in this segment.

The 85 years and over segment is the smallest age range in 15951. There are just 0 people in this category.

Age Range	Population
Under 5	0
5 to 9	0
10 to 14	0
15 to 19	29
20 to 24	16
25 to 29	0
30 to 34	158
35 to 39	14
40 to 44	11

Age Range	Population
45 to 49	0
50 to 54	26
55 to 59	16
60 to 64	47
65 to 69	146
70 to 74	29
75 to 79	0
80 to 84	0
Over 85	0

Race and Gender Population of 15951

Women make up the highest portion of people in 15951. There are 167 men and 325 women in this 5-digit zip code.

There are no people who identify as: American Indian, Asian, Native Hawaiian, Some other race in this 15951 zip code.

Most people in this zip code are White, with a total of 489 people in this category.

The chart and table below shows the population of people and which race they belong to in 15951

Gender	Population
Male	167
Female	325

Race	Population
White	489
Black	3

Real Estate Figures

Median Rent	Median House Value	Median Rooms in House	Most Common Heating Type
Unknown	$58,900	5.2 rooms	Fuel oil, kerosene, etc.

Housing Types in 15951 Zip Code

Below are two charts showing the amount of occupied vs vacant homes and the amount of renter vs owner occupied houses in the 15951 zip code.

The 15951 zip code area has a homeowner vacancy rate of 40.6% and a rental vacancy rate of 83.51%. This means there are a total of 162 vacant housing units throughout the zip code area. Conversely there are 269 housing units that are currently occupied.

Occupied Units	Vacant Units	Owner Vacancy Rate	Rental Vacancy Rate
269	162	40.6%	83.51%

Owner-Occupied	Renter-Occupied
237	32

Property Value in 15951

Most homes in 15951 are valued Less than $50,000, with 100,060 houses in this category.

There are just 0 houses valued at Less than $50,000. As you can see in the chart and table below, this is the smallest segment in this zip code.

The affordability ratio for the 15951 zip code in Pennsylvania is 1.1. This is calculated by dividing the median housing value by the median income and is used to show how affordable a zip code is.

An affordability ratio of 1.1 is generally considered Low (Affordable).

House Value	Units
Less than $50,000	100,060
$50,000 to $99,999	5,050
$100,000 to $149,999	1,040
$150,000 to $199,999	0
$200,000 to $299,999	6,020

House Value	Units
$300,000 to $499,999	0
$500,000 to $999,999	0
$1,000,000 or more	0
Median House Value	$58,900

Heating Types for Homes in 15951

There are 3 different heating types used by people in the 15951 zip code area. As you can see from the table and chart below; Utility gas, Fuel oil, kerosene, etc., Coal or coke are the most commonly used heating types in this area.

Fuel oil, kerosene, etc. is most commonly used to heat homes in 15951. As you can see below, there are 193 houses that use this method.

Heating Type	Units
Utility gas	62
Bottled, tank, or LP gas	0
Electricity	0
Fuel oil, kerosene, etc.	193
Coal or coke	14

Heating Type	Units
Wood	0
Solar energy	0
Other fuel	0
No fuel used	0

Household Income Generated 12-months of 2022

The chart and tables below show the household income segments for households in the 15951. 0 of households are on the low end, earning less than $10,000 in 2022.

On the other end, 0 of households earned more than $200,000 in the same year. You will also see that the mean income of this zip code is around $56,009.

Most households in 15951 earn in the $50,000 to $74,999 range. 29% of households are in this segment.

Income Range	Percent
Less than $10,000	0
$10,000 to $14,999	0
$15,000 to $24,999	28.6
$25,000 to $34,999	5.2
$35,000 to $49,999	13
$50,000 to $74,999	29

Income Range	Percent
$75,000 to $99,999	9.3
$100,000 to $149,999	14.9
$150,000 to $199,999	0
$200,000 or more	0
Mean income	$56,009

Bedrooms, Rooms and Units in Structures in 15951

Below are three pie charts and tables showing the amount of bedrooms, total rooms and structures in houses for this zip code.

Most houses in 15951 have 5 or more bedrooms, with a total of 106 houses.

In regards to rooms in general, people in this zip code have an average of 5.2 rooms in their house. Most houses actually have 5 rooms in their house. 139 homes fit into this category.

139 homes in 15951 are in the 2 units category, which is the most common in terms of structures for this area.

The largest homes tracked, which are 20 units or more, make up 16 of the houses in this zip code. On the other end, 353 houses make up the smallest homes, which are 1 unit, mobile homes or boats.

Bedrooms	Units
No bedroom	106
1 bedroom	106
2 bedrooms	106
3 bedrooms	106
4 bedrooms	106
5 or more bedrooms	106

Rooms	Units
1 room	16
2 rooms	0
3 rooms	0
4 rooms	102
5 rooms	139
6 rooms	77
7 rooms	0
8 rooms	57
9 rooms or more	40
Median rooms	5.2

Units in Structure	Units
1-unit, detached	149
1-unit, attached	204
2 units	204
3 or 4 units	0
5 to 9 units	62
10 to 19 units	0
20 or more units	16
Mobile home	0
Boat, RV, van, etc.	0

Healthcare and Hospitals

Hospitals Database

There are currently no hospital and healthcare locations in the zip code of 15951.

Universities

Universities Database