38730 Zip Code Map | Maps, Demographics and Population for Boyle, MS

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38730 is a 5-digit zip code located in Boyle, Mississippi. Boyle is the primary city for 38730 and is located in Bolivar. In the most recent US census the population of 38730 was 1551.

There are a total of 662 housing units in 38730, Mississippi. A total of 6.50% (43) are currently vacant.

Heading	Statistic
Timezone	GMT-6
City Name	Boyle
Housing Units	662
Median Home Value	$113,400
Universities	0
Law Enforcement	1 Locations
Hospitals	0

Heading	Statistic
Current Population	1,551*
Avg Income	$58,750
Occupied Houses	623
Vacant Houses	43
* Population taken from the last census in 2020.

Zip Code Products Showing 38730

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Mississippi 3-Digit Zip Code Map Showing 38730

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County Map Showing 38730, Mississippi

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Population Figures for 38730

Total Population by Age

38730 has a total population of 1,551. In the bar chart and table below, this population is split into 18 different age range segments.

Most inhabitants of 38730 are in the 65 to 69 years age bracket. As of the last census, there are 168 people in this segment.

The 80 to 84 years segment is the smallest age range in 38730. There are just 15 people in this category.

Age Range	Population
Under 5	128
5 to 9	158
10 to 14	51
15 to 19	102
20 to 24	39
25 to 29	56
30 to 34	119
35 to 39	125
40 to 44	107

Age Range	Population
45 to 49	136
50 to 54	51
55 to 59	103
60 to 64	34
65 to 69	168
70 to 74	76
75 to 79	58
80 to 84	15
Over 85	42

Race and Gender Population of 38730

Women make up the highest portion of people in 38730. There are 705 men and 863 women in this 5-digit zip code.

There are no people who identify as: American Indian, Asian, Native Hawaiian in this 38730 zip code.

Most people in this zip code are White, with a total of 1,058 people in this category.

The chart and table below shows the population of people and which race they belong to in 38730

Gender	Population
Male	705
Female	863

Race	Population
White	1,058
Black	387
Some other race	79

Real Estate Figures

Median Rent	Median House Value	Median Rooms in House	Most Common Heating Type
$58	$113,400	5.9 rooms	Utility gas

Housing Types in 38730 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 38730 zip code.

The 38730 zip code area has a homeowner vacancy rate of 11.2% and a rental vacancy rate of 13.23%. This means there are a total of 43 vacant housing units throughout the zip code area. Conversely there are 623 housing units that are currently occupied.

Occupied Units	Vacant Units	Owner Vacancy Rate	Rental Vacancy Rate
623	43	11.2%	13.23%

Owner-Occupied	Renter-Occupied
341	282

Property Value in 38730

Most homes in 38730 are valued Median, with 113,400 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 38730 zip code in Mississippi is 1.5. 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 1.5 is generally considered Low (Affordable).

House Value	Units
Less than $50,000	100,000
$50,000 to $99,999	6,030
$100,000 to $149,999	6,010
$150,000 to $199,999	40
$200,000 to $299,999	6,000

House Value	Units
$300,000 to $499,999	4,040
$500,000 to $999,999	90
$1,000,000 or more	0
Median House Value	$113,400

Heating Types for Homes in 38730

There are 3 different heating types used by people in the 38730 zip code area. As you can see from the table and chart below; Utility gas, Bottled, tank, or LP gas, Electricity are the most commonly used heating types in this area.

Utility gas is most commonly used to heat homes in 38730. As you can see below, there are 324 houses that use this method.

Heating Type	Units
Utility gas	324
Bottled, tank, or LP gas	110
Electricity	189
Fuel oil, kerosene, etc.	0
Coal or coke	0

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 38730. 4.3 of households are on the low end, earning less than $10,000 in 2022.

On the other end, 3.5 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 $75,502.

Most households in 38730 earn in the $35,000 to $49,999 range. 21% of households are in this segment.

Income Range	Percent
Less than $10,000	4.3
$10,000 to $14,999	2.1
$15,000 to $24,999	19.1
$25,000 to $34,999	1.6
$35,000 to $49,999	21
$50,000 to $74,999	17.8

Income Range	Percent
$75,000 to $99,999	15.2
$100,000 to $149,999	14.9
$150,000 to $199,999	0.3
$200,000 or more	3.5
Mean income	$75,502

Bedrooms, Rooms and Units in Structures in 38730

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 38730 have 5 or more bedrooms, with a total of 100 houses.

In regards to rooms in general, people in this zip code have an average of 5.9 rooms in their house. Most houses actually have 7 rooms in their house. 194 homes fit into this category.

194 homes in 38730 are in the 1-unit, detached 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 12 of the houses in this zip code. On the other end, 627 houses make up the smallest homes, which are 1 unit, mobile homes or boats.

Bedrooms	Units
No bedroom	100
1 bedroom	100
2 bedrooms	100
3 bedrooms	100
4 bedrooms	100
5 or more bedrooms	100

Rooms	Units
1 room	0
2 rooms	0
3 rooms	22
4 rooms	111
5 rooms	166
6 rooms	96
7 rooms	194
8 rooms	21
9 rooms or more	56
Median rooms	5.9

Units in Structure	Units
1-unit, detached	553
1-unit, attached	7
2 units	7
3 or 4 units	17
5 to 9 units	10
10 to 19 units	0
20 or more units	12
Mobile home	0
Boat, RV, van, etc.	67

Healthcare and Hospitals

Hospitals Database

There are currently no hospital and healthcare locations in the zip code of 38730.

Universities

Universities Database