17952 Zip Code Map | Maps, Demographics and Population for Mary D, PA

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17952 is a 5-digit zip code located in Mary D, Pennsylvania. Mary D is the primary city for 17952 and is located in Schuylkill. In the most recent US census the population of 17952 was 245.

There are a total of 134 housing units in 17952, Pennsylvania. A total of 28.36% (38) are currently vacant.

Heading	Statistic
Timezone	GMT-5
City Name	Mary D
Housing Units	134
Median Home Value	$58,600
Universities	0
Law Enforcement	0 Locations
Hospitals	0

Heading	Statistic
Current Population	245*
Avg Income	$56,528
Occupied Houses	103
Vacant Houses	38
* Population taken from the last census in 2020.

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Pennsylvania 3-Digit Zip Code Map Showing 17952

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County Map Showing 17952, Pennsylvania

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Population Figures for 17952

Total Population by Age

17952 has a total population of 245. In the bar chart and table below, this population is split into 18 different age range segments.

Most inhabitants of 17952 are in the 40 to 44 years age bracket. As of the last census, there are 23 people in this segment.

The 25 to 29 years segment is the smallest age range in 17952. There are just 0 people in this category.

Age Range	Population
Under 5	3
5 to 9	12
10 to 14	18
15 to 19	11
20 to 24	16
25 to 29	0
30 to 34	13
35 to 39	16
40 to 44	23

Age Range	Population
45 to 49	18
50 to 54	18
55 to 59	6
60 to 64	18
65 to 69	18
70 to 74	18
75 to 79	5
80 to 84	10
Over 85	6

Race and Gender Population of 17952

Men make up the highest portion of people in 17952. There are 123 men and 106 women in this 5-digit zip code.

There are no people who identify as: Black, American Indian, Asian, Native Hawaiian, Some other race in this 17952 zip code.

Most people in this zip code are White, with a total of 225 people in this category.

The chart and table below shows the population of people and which race they belong to in 17952

Gender	Population
Male	123
Female	106

Race	Population
White	225

Real Estate Figures

Median Rent	Median House Value	Median Rooms in House	Most Common Heating Type
Unknown	$58,600	6.9 rooms	Fuel oil, kerosene, etc.

Housing Types in 17952 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 17952 zip code.

The 17952 zip code area has a homeowner vacancy rate of 28.15% and a rental vacancy rate of 86.36%. This means there are a total of 38 vacant housing units throughout the zip code area. Conversely there are 103 housing units that are currently occupied.

Occupied Units	Vacant Units	Owner Vacancy Rate	Rental Vacancy Rate
103	38	28.15%	86.36%

Owner-Occupied	Renter-Occupied
97	6

Property Value in 17952

Most homes in 17952 are valued Median, with 58,600 houses in this category.

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

The affordability ratio for the 17952 zip code in Pennsylvania is 0.3. 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 0.3 is generally considered Low (Affordable).

House Value	Units
Less than $50,000	3,030
$50,000 to $99,999	3,010
$100,000 to $149,999	50
$150,000 to $199,999	40
$200,000 to $299,999	1,040

House Value	Units
$300,000 to $499,999	70
$500,000 to $999,999	0
$1,000,000 or more	30
Median House Value	$58,600

Heating Types for Homes in 17952

There are 5 different heating types used by people in the 17952 zip code area. As you can see from the table and chart below; Utility gas, Bottled, tank, or LP gas, Electricity, 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 17952. As you can see below, there are 40 houses that use this method.

Heating Type	Units
Utility gas	6
Bottled, tank, or LP gas	5
Electricity	17
Fuel oil, kerosene, etc.	40
Coal or coke	35

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 17952. 2.9 of households are on the low end, earning less than $10,000 in 2022.

On the other end, 13.6 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 $175,494.

Most households in 17952 earn in the $35,000 to $49,999 range. 26% of households are in this segment.

Income Range	Percent
Less than $10,000	2.9
$10,000 to $14,999	5.8
$15,000 to $24,999	5.8
$25,000 to $34,999	0
$35,000 to $49,999	26.2
$50,000 to $74,999	20.4

Income Range	Percent
$75,000 to $99,999	6.8
$100,000 to $149,999	18.4
$150,000 to $199,999	0
$200,000 or more	13.6
Mean income	$175,494

Bedrooms, Rooms and Units in Structures in 17952

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 17952 have 5 or more bedrooms, with a total of 33 houses.

In regards to rooms in general, people in this zip code have an average of 6.9 rooms in their house. Most houses actually have 9 rooms or more in their house. 40 homes fit into this category.

40 homes in 17952 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 0 of the houses in this zip code. On the other end, 141 houses make up the smallest homes, which are 1 unit, mobile homes or boats.

Bedrooms	Units
No bedroom	33
1 bedroom	33
2 bedrooms	33
3 bedrooms	33
4 bedrooms	33
5 or more bedrooms	33

Rooms	Units
1 room	0
2 rooms	0
3 rooms	0
4 rooms	3
5 rooms	27
6 rooms	31
7 rooms	23
8 rooms	17
9 rooms or more	40
Median rooms	6.9

Units in Structure	Units
1-unit, detached	58
1-unit, attached	83
2 units	83
3 or 4 units	0
5 to 9 units	0
10 to 19 units	0
20 or more units	0
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 17952.

Universities

Universities Database