Category: mapping

The Largest House in America… & 99 More Mansions

What’s better than a resort feel combined with the comfort of a home? While not the biggest house in the world, no lavishness was spared during the construction of 100 of the biggest houses in the U.S. The massiveness of these mansions is based on the square footage of the main house (you read that right, some of these properties have multiple houses).

Still standing or not, these homes are worth remembering. And when it comes to 100 of the largest homes in the country, inquisitive minds want to know about the 10 biggest of 80,000 square feet or above. As for where most of these massive homes are located and who they were built for? Go window shopping for this information and more on the map below.

View Largest houses in the U.S. in a full screen map

According to Wikipedia’s list, these are the 100 largest houses in the United States. We mapped them in seconds via our online mapping tool, enabling us (and you!) to sort by the additional data like square footage, year completed, who the home was built for, architectural style, and the owner and architect. Let’s jump into what we can learn from our mapped data.

Biggest of Already Big Houses

The 100 houses on the map range in size from 39,648 to 178,926 square feet. But the biggest of these already big homes? They’re all 80,000 square feet or above.

  1. Biltmore Estate
  2. Oheka Castle
  3. Whitemarsh Hall
  4. Arden House
  5. Winterthur
  6. Shadow Lawn (tied with Cornelius Vanderbilt II House)
  7. Cornelius Vanderbilt II House (tied with Shadow Lawn)
  8. Meadow Brook Hall
  9. Versailles
  10. Florham (tied with Harbor Hill)
  11. Harbor Hill (tied with Florham)
Photo of Biltmore Estate by 24dupontchevy

Of the largest U.S. houses, Biltmore Estate is #1. This Asheville, North Carolina residence sprawls across 178,926 square feet and was built in 1895 for George Washington Vanderbilt II. The second-largest home in the U.S. also happens to be the last one above 100,000 square feet. It’s the West Hills, New York Oheka Castle, also known as the Otto Kahn Estate (109,000 square feet).

As for Wyndmoor, Pennsylvania’s Whitemarsh Hall, it added up to exactly 100,000 square feet before it was torn down in 1980. Additionally, Arden House takes up 97,188 square feet while Winterthur resides on 96,582. Both West Long Branch, New Jersey’s Shadow Lawn and N.Y.C.’s Cornelius Vanderbilt II House weighed in at 90,000 square feet, though the Vanderbilt home was demolished in 1926. Meadow Brook Hall in Rochester Hills, Michigan sits atop 88,000 square feet.

And while not the actual palace, Versailles comes pretty close at 85,000 square feet in Windermere, Florida. This leaves Florham in Florham Park, New Jersey and Harbor Hill in Roslyn, New York to tie with 80,000 square feet. And even though Harbor Hill was demolished in 1947, these two homes are representative of where most of the hundred are located.

A Large Number of Large Homes Are Here

You’ll find pins representing these 100 large homes all across the country. However, most are located in the Eastern states of New York, New Jersey, or Pennsylvania.

City-wise, six are—or were—in New York City alone. This includes the Cornelius Vanderbilt II House (demolished in 1926), Andrew Carnegie Mansion, Felix M. Warburg House, Otto H. Kahn House, Riverside (demolished in 1948), and Henry Clay Frick House.

On the other side of the country, The Manor, The Pritzker Estate, 457 Bel Air Road, Château des Fleurs, and 10697 Somma Way are all located in Los Angeles. Then there’s the White House, one of five tens-of-thousands square feet homes in Washington D.C.

Additional estates in the capital city include Dumbarton Oaks, the Perry Belmont House, Townsend House, and Anderson House. Three mansions can also be found in Palm Beach, Florida along with Newport, Rhode Island, but let’s see what other insights can be illuminated from the map.

Who Were These Huge Homes Built For?

More than the biggest or the cities home to quite a few, it’s notable that nine of the people these houses were built for are named William (including one of six Vanderbilts). Even more, the following folks had two of these large homes built for them:

  • Alfred I. du Pont
  • Cornelius Vanderbilt II
  • Edward T. Stotesbury
  • George Crocker
  • Otto Hermann Kahn

Of the five, you may most easily recognize Cornelius Vanderbilt II thanks to his connection to the famous family (and that his namesake home was one of the 10 largest and located, among five others, in the Big Apple). This particular Vanderbilt became the Chairman and President of the New York Central and related railroad lines after his father in 1885. In addition to being the goal of the sixth-largest home in the U.S., the Cornelius Vanderbilt II House, The Breakers, a 62,482 square foot home, was also built for him in Newport, Rhode Island.

As for the other four names, Alfred Irénée du Pont was an industrialist, financier, philanthropist, and member of the influential du Pont family until his death in 1935. His two houses included the 65th largest, dubbed Nemours in Wilmington, Delaware and #88 NYIT de Seversky Mansion in New York. Interestingly, family member Henry Francis du Pont was the architect of the fifth-largest home, Winterthur. And prominent investment banker Edward T. Stotesbury owned the previously mentioned third-largest home in the country: Whitemarsh Hall. That along with El Mirasol (60,000 square feet) were his.

George Crocker, the second vice president of the Southern Pacific Railroad, had both the Crocker-McMillin Mansion (50,000 square feet) and Darlington (45,000 square feet) built for him in Mahwah, New Jersey. As for Otto Hermann Kahn, the man was a German-born American investment banker, collector, philanthropist, and patron of the arts with the second largest home in America: Oheka Castle along with the Otto H. Kahn House (50,316 square feet).

Architectural Style, Owner, Architect & More

You can also sort the map by the 30+ different architectural styles of these homes—and it’s clear Châteauesque is the most popular. Do the same with the owners of these homes or the brilliant architects like Carrère and Hastings (who had a hand in at least eight of these homes) and Horace Trumbauer (the architect of seven). Get to grouping your additional data like this now with BatchGeo. Or, if you’re in the market for the biggest house in the world, learn how to make an open house map. Or if you’re not quite there yet, apartment hunt visually with a custom map.

How to Prepare Your Data For A Map

You do millions of things to get ready for college, your wedding, a newborn baby, even natural disasters. When you’re prepared, the end result is usually better. Why not do the same for your data? While there are many map making tools on the web, BatchGeo users appreciate the customized Google Maps built right from your Excel or Google Sheets data.

BatchGeo takes its best guess with the additional fields in your spreadsheets, but this post will share some key preparations to get the most out of your map. You’ll learn how to customize your spreadsheet’s groups, remove any extraneous text from the numerical data in your spreadsheet, and separate your date field into individual columns, among other things. So let’s jump into how best to prepare your spreadsheet for a map, starting with your non-location fields.

Know How Many Groups Will Appear on Your Map

There are plenty of instances where you’ll find a data source with more information than just location. In these cases, BatchGeo will take the additional data columns in your spreadsheet and group the data together.

If you want more control over how they are displayed, it can be helpful to know ahead of time how many of the groups in your spreadsheet will appear on your map. BatchGeo will prominently display nine groups, while the rest are classified as Others until you click the “Others” group to view the data within. If you want all of the groups to appear, you’ll need to combined categories until just nine are in your spreadsheet.

To see how many groups you have, make a pivot table to count your data. Then, sort the table by descending count to isolate the lowest quantity categories. From here you can decide to combine categories together until you end up with nine or so.

View Famous Protests in American History in a full screen map

Current BatchGeo users might think of these as grouping best practices, though it all boils down to preparing your data beforehand. When your groups include more markers, your map users will better understand the data within. Of course, some grouping data is numeric, which means BatchGeo will create ranges—but only if the data can be interpreted as a number. The next section shows how to remove unnecessary text from your data.

Remove Extraneous Text From Numerical Data

The way BatchGeo groups your additional data like category or type also applies to your numerical data. Take, for example, data about the tallest lighthouses in the U.S. In addition to the lighthouse name and state, the Wikipedia table also contains information about the height, both in feet and in meters.

While these details are great, after you add the data into a spreadsheet, you’ll need to do a bit of formatting to get the most out of any metric data. Specifically, you’ll want to separate the two different measurements into their own columns by splitting “Text to Columns”.

Select the column you’d like to separate. In Excel’s “Data” menu, opt for “Text to Columns…” and select what you’d like to split the column based on: Delimited (characters such as commas or tabs separate each field) or Fixed width (fields are aligned in columns with spaces between each field) in the Text Wizard. Finish the Wizard.

But more importantly, you should remove the feet and m, also via “Text to Columns”. For more information about simplifying complicated data in Excel visit our post on the subject.

Instead, you can indicate the measurement in the heading like so:

This will enable the numerical data to automatically be detected. When you copy and paste it in BatchGeo to be mapped, the numbers will show as ranges. The map below demonstrates the benefit of removing extraneous text from numerical data to enable ranges:

View Tallest lighthouse in the United States in a full screen map

While this is what your map will look like if you keep the text in:

This applies to more than just the feet and meters in the lighthouse example. Among others, you should do this with numerical such as:

  • Length
  • Weight
  • Volume
  • Distance traveled
  • Number of occurrences
  • Light-years, parsecs, and other measurements

But removing any text from your numerical data isn’t the only thing you can do to prepare your data for a map.

Separate Your Date Data

Like types or categories and numerical data, dates also provide important context. For example, dates are included in the table of 550+ Major Plane Crashes. However, more often than not, their format isn’t ideal for a spreadsheet (or a map!). Indeed, you’ll find Pivot Tables and other Excel data analysis tricks used to combine dates for maximum insights. We can do something similar for our maps, but that requires a little data preparation.

Instead of complete dates, you’ll want the components of a date. For example, 1977-03-27 separates into individual columns for Year, Month, and Day. This way, you’re able to more easily sort your data by month or year (or both!) in your Excel spreadsheet. Furthermore, when you make your map, the months will be grouped together as displayed below when you opt for Month.

View 550+ Major Plane Crashes in a full screen map

The years, on the other hand, will automatically range (i.e. 1938 – 1923) as you can see above when you select Year.

Add Decades For a More Interesting Story

One final way to add even more insight to your data when prepping it is by assigning decades to the information. This can be an interesting way to push together data that may otherwise be looked at separately.

The methods we’ve covered in this post are some of the ways we’ve altered spreadsheets before we make our maps. You can get creative and find more. The overarching theme of all these tips is to look for ways to manipulate the data to maximize how it will look on the map.

Look for the interesting pieces of your data before you map it. Alternatively, paste your spreadsheet in and see what BatchGeo does on the first try. You can always edit and adjust later. This way, you can be sure the most important parts of your spreadsheet are properly highlighted on your map.

Get started preparing and mapping your data at batchgeo.com today.

Mapped: US Vaccination Rates for MMR, DTaP, and Varicella

Shots, doses, and boosters are common topics of conversation these days. We may think primarily of the COVID vaccine, though that is simply the latest to be recommended through the United States. We can look to other public health vaccines to better understand what places tend to get vaccinated… and which abstain.

It was December 31, 2019 when the world saw the first cases of the latest novel coronavirus. The New Year was only a month old when the World Health Organization declared a global health emergency. COVID-19 took over headlines and hospitals worldwide throughout 2020, leaving devastating consequences in its wake.

However, scientists rapidly developed a COVID-19 vaccine. As doses rolled out, the United States wondered about compliance. How many would voluntarily receive the vaccine? While these numbers are still changing daily, we can look back at older vaccines to see which states, territories, and associated states are likely to be the most compliant. We’ll also be able to identify the parts of the country with less than ideal compliance, as shown on the map below.

View MMR, DTaP, and Varicella US Vaccination Rates in a full screen map

The map contains the CDC’s estimated vaccination coverage for MMR, DTaP, and varicella vaccines among U.S. kindergarteners from 2017–18. You can sort the map by each vaccine’s percentages or use multi-column grouping and filtering to view multiple vaccines’ top or bottom rates altogether. Then read on for more information.

States With Highest Vaccine Compliance

West Virginia often appears in the news for exceptional vaccine rates. But it’s not the only (or even the best!) state, U.S. territory, or other associated states with high compliance among three vaccines: MMR, DTaP, and Varicella.

Measles, Mumps, & Rubella Rates

Doctors recommend two doses of the vaccine for measles, mumps, and rubella (MMR) for best protection. The first is generally given to children between 9-15 months, with a second dose at 15 months-6 years, meaning most children should be vaccinated by the time they enter kindergarten.

A median rate of 94.3% of US kindergarteners received the vaccine, indicating some places have better MMR vaccine compliance than others. Acknowledging the CDC didn’t have MMR data for Wyoming, Puerto Rico, or the U.S. Virgin Islands, below are the locations at or above 96.7% compliance.

State Kindergarten population % surveyed MMR 2 doses (%)
Palau 313 100 100
Mississippi 39,284 100 99.4
Maryland 68,528 98.9 98.6
West Virginia 19,519 77.5 98.4
New York 226,456 100 97.2
North Carolina 127,197 95 97
California 574,702 98.2 96.9
Tennessee 78,743 100 96.9
Texas 387,981 97.4 96.9
Pennsylvania 141,571 87.1 96.7
Delaware 10,988 9.6 96.7

Palau is an island country located east of the Philippines. The U.S. is responsible for the country’s defense until 2044, making it the only territory or associated state to make it in the top best, and the only U.S. location with a perfect MMR injection rate. Of course, these rates are samples. There’s likely someone in Palau who is not vaccinated, but the CDC doesn’t ask every single person.

Of the contiguous U.S., Mississippi has the best (and near-perfect) 99.4% rate of the MMR vaccination—and it’s not alone in the Southeast. West Virginia has a similarly high rate of compliance along with North Carolina and Tennessee. In the Southwest, Texas alone has high rates.

While Texas, Tennessee, and West Virginia, and other Southern states typically face many health struggles (as discovered in the Worst Statistic About Your State On a Map), it’s clear they excel at vaccinations. West Virginia and Mississippi have a logical reason—they’re the only two states in the U.S. that do not allow religious or philosophical exemptions for vaccines.

Up in the Northeast, Maryland touts the second-best MMR vaccination rate of U.S. states and the third-highest overall. Within the same region, New York, Pennsylvania, and Delaware also have rates far above other states. As only California represents the other side of the country, there’s not much about the West to discuss. Now let’s move on to rates of the multi-dose DTaP vaccine.

States Down with DTaP

With the DTaP or diphtheria and tetanus toxoids and acellular pertussis vaccine, four or five doses are required. Even with the hassle of the additional doses, DTaP compliance looks nearly identical to that of the MMR vaccine, as you’ll see below.

State Kindergarten population % surveyed DTaP 4 or 5 doses (%)
Palau 313 100 100
Mississippi 39,284 100 99.4
Maryland 68,528 98.9 99
Virginia** 100,581 4.2 98.2
West Virginia 19,519 77.5 98
Louisiana** 58,277 100 97.7
Pennsylvania 141,571 87.1 97
New York 226,456 100 96.9
Delaware 10,988 9.6 96.9
North Carolina 127,197 95 96.8
Texas 387,981 97.4 96.8

The island of Palau’s rate remains the same as its MMR rate: 100%. Plus, note the familiar states of Mississippi, Maryland, West Virginia, Pennsylvania, New York, Delaware, North Carolina, and Texas. These highly compliant states are newly joined by Virginia and Louisiana with notably high DTaP vaccine rates.

While Tennessee was included in the MMR list, The Volunteer State nearly missed the cutoff for the highest DTaP rates (it’s #12). Now let’s transition to the last vaccine we can compare: Varicella.

Varicella Vaccine

The varicella vaccine is a two-dose immunization that protects recipients from the highly contagious chickenpox. Aside from the Northern Mariana Islands, the vaccine is not required in most U.S. territories or associated states (American Samoa, Federated States of Micronesia, Guam, Marshall Islands, and Palau). The same goes for several U.S. states including Alabama, Arizona, California, Hawaii, Maine, New Jersey, Oklahoma, and Oregon.

Keeping that in mind, below are the states with the highest varicella compliance.

State Kindergarten population % surveyed Varicella 2 doses (%)
Mississippi 39,284 100 99.4
Maryland 68,528 98.9 98.6
West Virginia 19,519 77.5 98.1
Pennsylvania 141,571 87.1 97
New York 226,456 100 96.9
Tennessee 78,743 100 96.8
North Carolina 127,197 95 96.8
Delaware 10,988 9.6 96.7
Texas 387,981 97.4 96.4
Connecticut 39,174 100 96.3

With Palau Island out of the equation, Mississippi takes the lead, though the state is just short of 100% compliance. Once again, there aren’t many new players when compared to the MMR or DTaP’s top states. In fact, there’s only one new addition, Connecticut. Now let’s take a look in the opposite direction: states with the lowest injection rates.

Lowest Complying States

As the anti-vaccination notion spreads across the country, vaccine compliance has gone down. While many states allow religious or philosophical vaccination exemptions, below are the 10 states with the lowest calculated average of all four immunizations.

  • District of Columbia (80.5)
  • Marshall Islands (82.15)
  • Federated States of Micronesia (84.9)
  • American Samoa (86.35)
  • Northern Mariana Islands (87)
  • Colorado (88.33)
  • Guam (88.5)
  • Kansas (88.96)
  • Idaho (89.13)
  • Washington (90.23)

Perhaps most surprising is that the nation’s capital has the absolute worst vaccination compliance rate in the entire U.S. (and territories plus associated states). We hope our Senators don’t get chickenpox while working in D.C.!

You can view the rest of the places on the lower end of compliance for all the vaccines when you add multiple groups and values to your filter, explained below.

Group & Filter By Multiple Columns

What could be better than filtering your maps by one spreadsheet column? Filtering by two or more, simultaneously. We explain the easy way you can do so for all of your maps in our post on the subject, Multi-Column Grouping and Filtering. A preview: it involves adding additional values at the bottom of your map. The filter increases as you add more values and you can also include values from different groups via the drop-down on the bottom left. Be sure to implement this in your next map with the help BatchGeo.