12017 Zip Code Map | Maps, Demographics and Population for Austerlitz, NY

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12017 is a 5-digit zip code located in Austerlitz, New York. Austerlitz is the primary city for 12017 and is located in Columbia. In the most recent US census the population of 12017 was 358.

There are a total of 255 housing units in 12017, New York. A total of 45.49% (116) are currently vacant.

Heading	Statistic
Timezone	GMT-5
City Name	Austerlitz
Housing Units	255
Median Home Value	$164,300
Universities	0
Law Enforcement	0 Locations
Hospitals	0

Heading	Statistic
Current Population	358*
Avg Income	$0
Occupied Houses	212
Vacant Houses	116
* Population taken from the last census in 2020.

Zip Code Products Showing 12017

New York 3-Digit Zip Code Map Showing 12017

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County Map Showing 12017, New York

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Population Figures for 12017

Total Population by Age

12017 has a total population of 358. In the bar chart and table below, this population is split into 18 different age range segments.

Most inhabitants of 12017 are in the 70 to 74 years age bracket. As of the last census, there are 140 people in this segment.

The Under 5 years segment is the smallest age range in 12017. There are just 0 people in this category.

Age Range	Population
Under 5	0
5 to 9	17
10 to 14	4
15 to 19	29
20 to 24	15
25 to 29	18
30 to 34	14
35 to 39	16
40 to 44	11

Age Range	Population
45 to 49	6
50 to 54	39
55 to 59	10
60 to 64	33
65 to 69	42
70 to 74	140
75 to 79	12
80 to 84	6
Over 85	7

Race and Gender Population of 12017

Women make up the highest portion of people in 12017. There are 189 men and 230 women in this 5-digit zip code.

There are no people who identify as: Black, American Indian, Native Hawaiian in this 12017 zip code.

Most people in this zip code are White, with a total of 387 people in this category.

The chart and table below shows the population of people and which race they belong to in 12017

Gender	Population
Male	189
Female	230

Race	Population
White	387
Asian	4
Some other race	28

Real Estate Figures

Median Rent	Median House Value	Median Rooms in House	Most Common Heating Type
Unknown	$164,300	5.8 rooms	Electricity

Housing Types in 12017 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 12017 zip code.

The 12017 zip code area has a homeowner vacancy rate of 36.48% and a rental vacancy rate of 92.06%. This means there are a total of 116 vacant housing units throughout the zip code area. Conversely there are 212 housing units that are currently occupied.

Occupied Units	Vacant Units	Owner Vacancy Rate	Rental Vacancy Rate
212	116	36.48%	92.06%

Owner-Occupied	Renter-Occupied
202	10

Property Value in 12017

Most homes in 12017 are valued Median, with 164,300 houses in this category.

There are just 30 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 12017 zip code in New York is 1.8. 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 1.8 is generally considered Low (Affordable).

House Value	Units
Less than $50,000	30
$50,000 to $99,999	30
$100,000 to $149,999	9,010
$150,000 to $199,999	1,000
$200,000 to $299,999	3,060

House Value	Units
$300,000 to $499,999	4,010
$500,000 to $999,999	1,050
$1,000,000 or more	30
Median House Value	$164,300

Heating Types for Homes in 12017

There are 5 different heating types used by people in the 12017 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., Wood are the most commonly used heating types in this area.

Electricity is most commonly used to heat homes in 12017. As you can see below, there are 107 houses that use this method.

Heating Type	Units
Utility gas	4
Bottled, tank, or LP gas	43
Electricity	107
Fuel oil, kerosene, etc.	55
Coal or coke	0

Heating Type	Units
Wood	3
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 12017. 0 of households are on the low end, earning less than $10,000 in 2022.

On the other end, 10.4 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 $90,806.

Most households in 12017 earn in the $25,000 to $34,999 range. 42% 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	3.3
$25,000 to $34,999	42
$35,000 to $49,999	0
$50,000 to $74,999	15.1

Income Range	Percent
$75,000 to $99,999	15.6
$100,000 to $149,999	4.2
$150,000 to $199,999	9.4
$200,000 or more	10.4
Mean income	$90,806

Bedrooms, Rooms and Units in Structures in 12017

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 12017 have 5 or more bedrooms, with a total of 3 houses.

In regards to rooms in general, people in this zip code have an average of 5.8 rooms in their house. Most houses actually have 6 rooms in their house. 126 homes fit into this category.

126 homes in 12017 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 0 of the houses in this zip code. On the other end, 319 houses make up the smallest homes, which are 1 unit, mobile homes or boats.

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

Rooms	Units
1 room	0
2 rooms	6
3 rooms	12
4 rooms	51
5 rooms	56
6 rooms	126
7 rooms	38
8 rooms	14
9 rooms or more	25
Median rooms	5.8

Units in Structure	Units
1-unit, detached	296
1-unit, attached	20
2 units	20
3 or 4 units	9
5 to 9 units	0
10 to 19 units	0
20 or more units	0
Mobile home	0
Boat, RV, van, etc.	3

Healthcare and Hospitals

Hospitals Database

There are currently no hospital and healthcare locations in the zip code of 12017.

Universities

Universities Database