17372 Zip Code Income, Population and Demographics
Are you tired of spending 10+ hours searching for demographic and population data for the 17372 zip code? We have all of the data you need by state, county, city, and zip code that will save you many hours of research!
In this article, we'll explore most of the 190+ data points we have for 17372, covering popular demographics statistics like household income, race, age and gender, educational attainment, poverty, housing, and transportation.
17372 is a zip code in Adams County and York County, Pennsylvania, which covers Huntington, Latimore, Reading, Tyrone, York Springs, and Franklin, with a total population of 3,851 people.
The data on this page is from the 2022 American Community Survey (ACS) 5-Year survey from the US Census Bureau.
Median Household Income
According to the latest ACS 5-year survey in 2022, the median household income in 17372 is $69,425.00.
The chart below shows the average household income by age in 17372.
Average Household Income
A very commonly asked question is "what is the average household income in the 17372 zip code?". The official term for the average household income is the mean household income. The mean household income is the total income of all households divided by the number of households.
The average (or mean) household income in 17372 is $84,127.00.
4.80% of households in the 17372 zip code are classed as high income households (making $200,000+ per year).
The difference between a median and an average income
The difference between a median and mean household income is that the median income is the middle point of the set of numbers whereas the mean income is an average of all numbers.
Both metrics are important when looking at the income statistics for 17372 but because the median value doesn't depend on other numbers in the dataset, it doesn't change as much when some of the values are extremely low or extremely high.
Household Income Tiers for 17372
We can also look at the household income tiers. This lets you see how many households fall into each of the earnings brackets and what percentage that bracket is of the total number of households.
The chart below shows the household income brackets to see which age groups have the highest median income. The actual data is more granular than these brackets, but we've simplified them into bigger categories to make reviewing the data for the 17372 zip code easier to view.
You can purchase the raw data above, which will have the full income tiers with smaller jumps in household income.
Per Capita Income
The per capita income is the average income of all people in the 17372 zip code. This is calculated by dividing the total income of all people in 17372 by the total number of people in 17372.
It differs from the average or mean household income because it includes all people in 17372 and not just the people who earn an income (i.e. children, retirees, unemployed, etc.).
The per capita income in the 17372 zip code is $33,834.00.
Population in 17372 by Race and Ethnicity
The total population in 17372 is currently 3,851 people.
The race and ethnicity of the population in 17372 can be very important for social research, economics, and marketing to a multi-culturial society.
Whether you want to target products or services to a particular race or ethnicity, or provide housing and new businesses to improve areas with a larger ethnic minority population, this data is very valuable for discovering suitable areas.
The chart below breaks down the population and percentage for each race and ethnicity in the 17372 zip code.
Population of 17372 by Age and Gender
Another very important demographics statistic for the 17372 zip code is the age and gender of the population. The age and gender of the population can be used to track trends in population growth or decline, and for businesses, the data can be used to identify people important to you and your business need.
In the table below, we show age groups at a 10 year granularity for ease of use. The raw data, which can be purchased above, includes age and gender at a 5 year granularity.
Education Levels
Educational attainment is a very useful statistic that can give insights into other data such as the average household income, unemployment levels, and literacy.
What this means is that it is likely for areas that have higher levels of education to have higher average household incomes, lower unemployment rates, and higher literacy rates.
The chart below shows the educational attainment of the population in the 17372 zip code.
Unemployment Rates
The unemployment rate is the percentage of the population that is actively looking for work but is unable to find a job. The unemployment rate is a very important statistic for 17372 because it can show how many people are actively looking for work and how many people are unable to find a job.
Lower levels of unemployment is generally seen as a positive sign for the economy. It also makes the government in 17372 look good because it shows that they are doing a good job of creating jobs, working to capacity, being efficient, and keeping the economy strong.
The unemployment rate is calculated using the total population in the 17372 zip code that are over the age of 16.
The current population in 17372 that are over the age of 16 is 3,153 people.
The unemployment rate in 17372 is 3.80%, which means 76 people are unemployed.
Median Age in 17372
The median age is an interesting metric because it gives us an idea of the age distribution of people in the 17372 zip code. You know when you see a median age that it is the age where half of the population is older and half is younger than it.
For demographic studies, this can be used to infer and compare date to things such as birth rates, the age of parents, and so on.
An increasing median age can be a sign of an aging population, which can be a sign of a declining population. This is because older people tend to have fewer children and die more often than younger people.
The median age in 17372 is 45.4 years old.
We can also look at the median age by gender to compare the see how each group compares to the total median age:
Median age by gender in 17372
45.4
Total
45
Male
45.9
Female
Households and Families
There are a total of 1,500 households in 17372, and the average household size is 2.56 people.
For families, the total number is 1,012, and the average family size is 3.06 people.
6.00% of those families in the 17372 zip code are living below the poverty line.
The table below shows the poverty thresholds for 17372 in .
Please note that the poverty thresholds shown above are from , while the latest demographics data we have is from 2022.
Households and Families by Marital Status
There are four types of household and family, as defined by the Census Bureau:
- Married-couple
- Male householder, no spouse present
- Female householder, no spouse present
- Nonfamily household
In the table below, you can see the total households and families in the 17372 zip code for each type, as well as the average sizes.
Housing Data in 17372
There are total of 1,582 housing units in the 17372 zip code. Of those units, 1,500 (94.82%) are occupied, and 82 (5.18%) are vacant.
Rental Rates
Of the 1,582 housing units in 17372, 258 (16.31%) are occupied by renters. The median rent paid by renters is $1,084.00.
Owner occupied housing units make up the remaining 74.59% of housing units, with 1,180 housing units in total.
The table below breaks down how much rent is paid by renters in the 17372 zip code.
Property Values
The median value of a property in 17372 is $239,000.00.
The table below breaks down the range of valuations for all properties in 17372.
Property Age
We can also look at the number of properties built in a given year to see the spread of property age in the 17372 zip code.
Vehicles Available per Household
Finally, we have data on how many vehicles each household in 17372 has. The table below breaks down the number of vehicles available per household.
Commuting to Work in 17372
The time and means of commuting to work are useful metrics to look at because they can be correlated against other data such as income and education level.
Does a longer commuting time indicate a higher average income? If so, has the huge increase in home working during the pandemic changed this?
Using these metrics, we can get a better understanding of the demographics of the 17372 zip code, how they commute, and how that correlates to other data points.
The average travel time is 31.9 minutes, and the chart below covers the range of travel times across the population of 17372.
We can also look at the means of transport in 17372 to see which modes of transport people are using to commute to work.
Conclusion
Hopefully this article has given you the demographics data you were looking for in the 17372 zip code.
If you need more demographics data, or you need the data listed above in spreadsheet form with more granular grouping, head back to the top of this page where you can purchase the complete demographics data for 17372.