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10 Years of Monthly Snowfall by Zip Code

December 2022

Last Updated

38,000 Zip Codes

Locations

120 Months

Data Points per Location

Snowfall

Weather Metric

Monthly Time Series

Data Type

CSV

File Type

120 data points per zip code, nearly 40,000 US zip codes

Excel Download

View Data Sample

10 years worth of monthly rainfall history for all US zip codes.

Longer time frames available as a custom request.

Custom requests or want to be sure this is what you are looking for? Use the chat icon in the bottom left of the screen or email us at contact@weatherdatabyzipcode.com with any questions!

10 Years of Monthly Snowfall Data by Zip Code (Easy Download)

 
Accurate snowfall data can help organizations make better planning decisions. Our snowfall data report includes 10 years of totals from every U.S. zip code.
 

Snowfall can bring a region to a grinding halt. Even when a city or town is prepared with the right equipment like plows and sand, heavy snow makes it hard to keep transportation moving. Perhaps more than any other kind of weather, snow has a way of putting life on pause.

We can’t stop the snow from coming, but we can help improve how both public and private organizations prepare for these storms. Using the data offered in this Excel download – 10 years of monthly snowfall data, organized by zip codes across the entire U.S. – allows business and government agencies to make smart planning decisions based on the likelihood of snow events.

 

Some Questions This Data Can Help You Answer

 

With this much raw data available, you will soon find yourself coming up with many different ideas for how you can pull important insights out of snowfall records. To get the ball rolling, we’d like to offer up three examples of questions that could easily be answered by sorting through the data provided in this Excel download.

Is annual snowfall increasing or decreasing in a given zip code?

 

Watching the trends for annual snowfall in a given area is a potentially useful way to project future years and make adjustments to things like a business model or maintenance schedule.

For example, how has the snowfall in various Michigan locations changed from 2011 to 2020? If there is a big change, that insight could drive logical operational adjustments.

What city has seen the greatest change in snowfall over the last decade?

 

By quickly sorting the data in this file, you can see what locations are experiencing the largest changes to their snowfall averages. This could be useful for taking advantage of opportunities in areas that are snowier or not as snowy as they were in the past, and it could also be an important tool for monitoring climate change trends.

In looking over the data, we can highlight two notable trends that show how powerful this information can be.

  • From 2011 to 2021, Park City, Utah saw some of the biggest change in average yearly snowfall, gaining about 20 inches of snowfall per season.
  • Not all locations gained in terms of snow, however, as Valdez, Alaska went the other direction, with a drop of 40 inches.
 

What U.S. zip codes receive the most snow, and how consistent is that snow from year to year?

 

It’s easy to imagine how a question like this could drive important business decisions. For example, a company that produces winter recreation equipment could target their marketing efforts toward the snowiest parts of the country, without wasting ad spend on areas that don’t really get enough snow to support a thriving market.

 

A Side-by-Side Comparison of 2020-2021 Snowfall Totals

 

You’ll also be able to compare one year to the next quickly when using this data to analyze snow events. For example, when looking at zip codes in Michigan, we can see that the 2020 snow season extended well into April and even May, with some locations getting several inches in April and traces in May. In 2021, however, the snow season largely ended in March, with only small totals in April and no recorded snow in May.

Having this kind of data available is great because you can use it to map changes in business, traffic, or other factors to what was going on with the weather. For instance, if some outdoor businesses got a late start on their revenues in Michigan in 2020, it may have had something to do with that lingering snow season.

 

Snowfall History by Zip Code – Why Is It Important?

 

The patterns that are revealed by tracking the history of snowfall in recent years can be used in many different applications. Businesses may use these data points to help predict the timing of tourist activity – either when tourists will leave because the snow has arrived, or when they will show up to play in that snow.

Alternatively, scientists can use this kind of information to track changes in the climate, forecast future changes to the weather in localized areas, and more. Solid data is at the heart of nearly all scientific work, and our large data set from the past 10 years of snowfall across the country can serve many businesses and organizations well.

 

Accurate, Organized, Complete Snowfall Data

 

Making important planning decisions shouldn’t come down to guesswork. Sure, you won’t be able to predict exactly what the weather is going to do in a given year, or even a given month, but leaning on accurate data of past snowfall totals will put you on solid footing. This huge collection of a decade’s worth of snowfall in every zip code in the United States will give you the hard data you need to make smart choices. Download now or contact us for more information.

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Instant Download
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Regularly Inspected for Flaws

10 Years of Monthly Snowfall by Zip Code

December 2022

Last Updated

38,000 Zip Codes

Locations

120 Months

Data Points per Location

Snowfall

Weather Metric

Monthly Time Series

Data Type

CSV

File Type

$90.00

Our Guarantee
Instant Download
Secure Checkout
Regularly Inspected for Flaws

120 data points per zip code, nearly 40,000 US zip codes

Excel Download

View Data Sample

10 years worth of monthly rainfall history for all US zip codes.

Longer time frames available as a custom request.

Custom requests or want to be sure this is what you are looking for? Use the chat icon in the bottom left of the screen or email us at contact@weatherdatabyzipcode.com with any questions!

10 Years of Monthly Snowfall Data by Zip Code (Easy Download)

 
Accurate snowfall data can help organizations make better planning decisions. Our snowfall data report includes 10 years of totals from every U.S. zip code.
 

Snowfall can bring a region to a grinding halt. Even when a city or town is prepared with the right equipment like plows and sand, heavy snow makes it hard to keep transportation moving. Perhaps more than any other kind of weather, snow has a way of putting life on pause.

We can’t stop the snow from coming, but we can help improve how both public and private organizations prepare for these storms. Using the data offered in this Excel download – 10 years of monthly snowfall data, organized by zip codes across the entire U.S. – allows business and government agencies to make smart planning decisions based on the likelihood of snow events.

 

Some Questions This Data Can Help You Answer

 

With this much raw data available, you will soon find yourself coming up with many different ideas for how you can pull important insights out of snowfall records. To get the ball rolling, we’d like to offer up three examples of questions that could easily be answered by sorting through the data provided in this Excel download.

Is annual snowfall increasing or decreasing in a given zip code?

 

Watching the trends for annual snowfall in a given area is a potentially useful way to project future years and make adjustments to things like a business model or maintenance schedule.

For example, how has the snowfall in various Michigan locations changed from 2011 to 2020? If there is a big change, that insight could drive logical operational adjustments.

What city has seen the greatest change in snowfall over the last decade?

 

By quickly sorting the data in this file, you can see what locations are experiencing the largest changes to their snowfall averages. This could be useful for taking advantage of opportunities in areas that are snowier or not as snowy as they were in the past, and it could also be an important tool for monitoring climate change trends.

In looking over the data, we can highlight two notable trends that show how powerful this information can be.

  • From 2011 to 2021, Park City, Utah saw some of the biggest change in average yearly snowfall, gaining about 20 inches of snowfall per season.
  • Not all locations gained in terms of snow, however, as Valdez, Alaska went the other direction, with a drop of 40 inches.
 

What U.S. zip codes receive the most snow, and how consistent is that snow from year to year?

 

It’s easy to imagine how a question like this could drive important business decisions. For example, a company that produces winter recreation equipment could target their marketing efforts toward the snowiest parts of the country, without wasting ad spend on areas that don’t really get enough snow to support a thriving market.

 

A Side-by-Side Comparison of 2020-2021 Snowfall Totals

 

You’ll also be able to compare one year to the next quickly when using this data to analyze snow events. For example, when looking at zip codes in Michigan, we can see that the 2020 snow season extended well into April and even May, with some locations getting several inches in April and traces in May. In 2021, however, the snow season largely ended in March, with only small totals in April and no recorded snow in May.

Having this kind of data available is great because you can use it to map changes in business, traffic, or other factors to what was going on with the weather. For instance, if some outdoor businesses got a late start on their revenues in Michigan in 2020, it may have had something to do with that lingering snow season.

 

Snowfall History by Zip Code – Why Is It Important?

 

The patterns that are revealed by tracking the history of snowfall in recent years can be used in many different applications. Businesses may use these data points to help predict the timing of tourist activity – either when tourists will leave because the snow has arrived, or when they will show up to play in that snow.

Alternatively, scientists can use this kind of information to track changes in the climate, forecast future changes to the weather in localized areas, and more. Solid data is at the heart of nearly all scientific work, and our large data set from the past 10 years of snowfall across the country can serve many businesses and organizations well.

 

Accurate, Organized, Complete Snowfall Data

 

Making important planning decisions shouldn’t come down to guesswork. Sure, you won’t be able to predict exactly what the weather is going to do in a given year, or even a given month, but leaning on accurate data of past snowfall totals will put you on solid footing. This huge collection of a decade’s worth of snowfall in every zip code in the United States will give you the hard data you need to make smart choices. Download now or contact us for more information.

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Being able to download the data immediately we key. Everywhere else wants you to set an appointment or subscribe to get going. I had an EOD request that needed this data so speed was key.
Dave MurphyExcellEnergy
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The Excel file the data comes in was very easy to use and understand. What’s great about the weather data being in excel is I could run formulas against our own sales data (which is also in Excel). Would highly recommend.
Shannon ReelSotra
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I think technically NOAA offers this data for free but it is a total pain to extract. I don’t know anything about APIs so being able to grab this data via excel was wonderful and well worth the money to save time.
Andrew JonesSkyMyst Alarms
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Using this data helped us gain some revenue because we adjust our pricing based on weather. Before we were guestimating. This data helped us refine our pricing and showed us we were leaving money on the table.
Christine RhodesOSTE
Testimonial

Being able to download the data immediately we key. Everywhere else wants you to set an appointment or subscribe to get going. I had an EOD request that needed this data so speed was key.
Dave MurphyExcellEnergy
Testimonial

The Excel file the data comes in was very easy to use and understand. What’s great about the weather data being in excel is I could run formulas against our own sales data (which is also in Excel). Would highly recommend.
Shannon ReelSotra
Testimonial

I think technically NOAA offers this data for free but it is a total pain to extract. I don’t know anything about APIs so being able to grab this data via excel was wonderful and well worth the money to save time.
Andrew JonesSkyMyst Alarms
Testimonial

Using this data helped us gain some revenue because we adjust our pricing based on weather. Before we were guestimating. This data helped us refine our pricing and showed us we were leaving money on the table.
Christine RhodesOSTE