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I’m starting to get requests for voting statistics as custom data pulls for early analyses for redistricting projects. Below is a roundup of my favorite sources of demographic data for voting-related projects. One note: the resources below don’t cover individual voter records. This list below is for voter data for geographic regions like all voters in a congressional district or in a county. Valuable insights start jumping out when you combine these datasets like combining Election Results data with Voter Age Population Demographics from the Census’ American Community Survey.

Table of Contents

Name	Source	Price	Geographies
Registered Voters & Election Results	State, County & City websites	Free	1 state, 1 county, 1 city
Voter Age Population Demographics	Census’s American Community Survey	Free	All US Geographies – large & small
Registered Voters	Census’s Current Population Survey	Free	States & MSAs
Election Results	Dave Leip’s Atlas of US Presidential Elections	$	All US Counties & CDs
U.S Citizen Voting Age Demographics	Social Explorer	$	Some large & small US geographies
Custom Data Pull	Cubit	$	All US geographies – large & small

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1. Registered Voters & Election Results for Single Geographic Areas

• Price: Free
• Geographies: 1 State, 1 county or 1 city

If you need state-level voting statistics, below is a collection of state agencies with registered voter and election results data. Because we’re often pulling voter demographics, I included notes about any demographic data that we’ve found for voters on the states’ websites in the Types of Data section in the table below.

Name	Types of Data
Alabama Secretary of State / Elections Data	Voter Registration Statistics by Race; Election Results by Race, Age & Gender
Alaska Division of Elections / Statistics	Registration by Party & Age; Voter Turnout by Age, Gender & Party; Election Results
Arizona Secretary of State / Voter Registration	Voter Registration Statistics by Party; Election Results
Arkansas Secretary of State / Elections / Research	Registered Voters; Election Results
California Secretary of State / Election / Voter Information	Voter Registration Statistics by Age Range and Political Bodies; Qualified Political Parties
Colorado Secretary of State / Voter Registration	Voter Registration by Status, Party, Gender, Age
Connecticut Secretary of the State / Election / Voter Information	Elections Results and Turnout Statistics; Voter Registration Statistics
District of Columbia / Board of Elections	Voter Registration Statistics Monthly Report
State of Delaware / Department of Elections / Office of the State Election Commissioner	Registered Voter Totals by Month; Election Results
Florida Division of Elections / Data & Statistics	Election Data / Results; Voter Registration Statistics; Monthly Reports; Voter Turnout
Georgia Secretary of State / Elections	Active Voters by Race and Gender; Election Results; Turnout by Demographics; Candidate Information
State of Hawaii Office of Elections	Election Results; Registered Voters; Voter Turnout
Idaho Secretary of State’s Office / Elections Office	Voter Registration
Illinois State Board of Elections	Election Information / Results; Voting Information; Election Results / Vote Totals
Indiana Secretary of State / Election Division	Election Results; Voter Registration and Turnout Statistics
Iowa Secretary of State / Elections / Research and Data	Election Results and Statistics; Voter Registration
Kansas Secretary of State / Elections	Election Statistics / Results; Candidate Lists
Commonwealth of Kentucky / State Board of Elections	Election Results; Registration Statistics; Primary Voter Turnout by Age, Gender, Party
Louisiana Secretary of State / Elections & Voting	Registration Statistics by Race; Graphical Election Results
Maine Department of the Secretary of State / Bureau of Corporations, Elections & Commissions	Election Results; Registered & Enrolled Voters
Maryland The State Board of Elections	Voter Registration Statistics by Month; Active Voters; Election Results; Official Turnout by Party; Candidate Lists
Secretary of the Commonwealth Massachusetts / Election/ Voting / Elections Division	Election Results; Registered Voter Enrollment; Voter Turnout Statistics; Candidate Lists;
Michigan Office of Secretary of State / Elections	Candidate Listings and Election Results; Registered Voter Count
Minnesota Secretary of State / Election Administration & Campaigns / Data & Maps	Election Results; Voter Registration; Voter Turnout by Age Group
Mississippi Secretary of State / Online Voter Information Center	Election Results
Missouri Secretary of State / Elections & Voting	Registered Voters; Election Results; Voter Turn Out
Montana Secretary of State / Election & Voter Services	Official Election Results; Voter Registration; Official Turnout Results
Nebraska Secretary of State / Elections	Number of Registered Voters by Party; Election Official Results
Nevada Secretary of State / Elections	Voter Registration by Age & Party; Voter Registration; Election Turnout
New Hampshire Secretary of State / Elections Division	State Election Results; Party Registration/Names on Checklist History
New Jersey Division of Elections / Election Information & Results	Summary of Registered Voters and Ballot Cast; Election Results; Voter Registration
New Mexico Secretary of State / Voting & Elections	Election Results; Voter Registration Statistics / Data
New York State Board of Elections	Election Results; Voter Enrollment by Party Affiliation and Status
North Carolina State Board of Elections	Election Results; Voter Registration Statistics by Party by Race by Sex
North Dakota Secretary of State / Elections	Election Results; Statistics & Turnout from Past Elections
Ohio Secretary of State / Elections and Voting	Election Results; Voter Turnout
Oklahoma State Election Board	Voter Registration; Election Results
Oregon Secretary of State / Voting & Elections	Voter Registration by Year / Month; Elections Historical Turnout; Statewide Election Results
Pennsylvania Department of State / Voting & Elections	Voter Registration Statistics; Election Results
Rhode Island Secretary of State / Voter Information State of Rhode Island Board of Elections	Registered Voters; History of Voter Turnout; Voter Turnout by Generation; Election Results
South Carolina Election Commission / Results & Statistics	Voter Registration; Election Results
South Dakota Secretary of State / Elections & Voting	Election Results; Voter Registration Totals by Party
Tennessee Secretary of State / Elections	Voter Registration; Voter Turnout; Election Results
Texas Secretary of State / Elections	Turnout and Voter Registration; Election Results
Utah Lieutenant Governor / Elections	Voters by Party and Status; Election Results
Vermont Secretary of State / Elections	Voter Registration Totals; Election Results; Voter Registration, Turnout, and Absentee Voter Statistics
Virginia Department of Elections / Results / Reports	Registrant Counts; Election Results; Registration/Turnout Statistics
Washington Secretary of State / Elections / Research	Election Results; Registered Voters by Age; Registered Votes by Gender; Registered Voters by Age Group
West Virginia Secretary of State / Elections Division	Election Results / Turnout; Candidate Listing by Office; Voter Turnout Data; Voter Registration Totals
Wisconsin Election Commission / Elections	Election Results; Voter Registration Statistics; Voter Turnout Statistics
Wyoming Secretary of State / Elections	Voter Registration Statistics; Voter Turnout Statistics; Election Results

If you need voting stats for small geographic areas like counties or cities, many counties make voter statistics available on their website. For example, the following breakdown by Party and Language that’s on Alameda County’s website.

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2. Voter Age Population Demographics: Census’ American Community Survey

• Price: Free
• Geographies: All US Geographies from large like states & counties to small like zips, Census tracts, & block groups

While you can’t get registered voter counts from the Census’ American Community Survey, this dataset has the most current demographics for the voting age population. The most current US Census data is 2017 data, and the 2018 data will be released in December 2019. While you can get American Community Survey demographics for large geographies like congressional districts, you can also get this data for small geographies like zip codes and Census tracts (4,000ish people). These small geographies are particularly helpful if you want to visualize the makeup of a larger geography. You can download this data from census.gov and get the following popular demographics.

Age, Sex, Race/Ethnicity

• Example: voting age population by age and sex

• Example: voting age population by age, sex and race/ethnicity. In this example, we are displaying Hispanic or Latino but other races & ethnicities are available as well. 

Income

Voting age population by income is tricky, because the income categories are for households (not individuals), and because the Census publishes data for householders under 25 (which kind of makes sense if you think about how few 18 years olds are working jobs but under 25 years doesn’t align nicely to voting ages). But you can get income data by age of householder for the following age breakdowns:

• Householder under 25 years
• Householder 25 to 44 years
• Householder 45 to 64 years
• Householder 65 years and over

You can get the above data income data by age of householders by race/ethnicity, but I would suggest only getting this data for large geographies like counties because the margins of error will be too large for the small geographies.  Below is a sample of income by age of householder data for a county for the first 2 age brackets. You can also get median income rather than a distribution here. 

There are thousands and thousands of other data points that can be pulled from the American Community Survey (see 2017 ACS Detailed Table Shells), but the ones listed above (age, sex, race/ethnicity and income) are the most popular for voting demographic projects that we’ve done in the past.

When you overlay the above Census tract demographics on top of voting precinct boundaries in a map, you can identify areas with low voter registration. Sometimes, Census tracts and voting precincts line up, so that you can easily compare the Census’ population estimates with the number of registered voters of a precinct. But even when the voting precincts don’t perfectly align with Census tract, we can help you calculate the percent overlap for precincts and Census tracts to estimate the demographics for the precincts. In the map of Miami-Dade County Voting Precincts and Census tracts below, you can see examples of when Census tracts and precinct align and examples of when the boundaries don’t align.

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3. Registered Voters: Census’ Current Population Survey

• Price: Free
• Geographies: states and metropolitan statistical areas

You can get registered voter data from the US Census using their Current Population Survey dataset. I like to use the Current Population Survey for the total population for cities, counties and states, but you can also use this dataset to get registered voter data for large geographies like metropolitan statistical areas and states. This dataset is the most technically challenging dataset to work with in this list, and here’s what you need to do.

1. For the raw microdata, go here:  https://thedataweb.rm.census.gov/ftp/cps_ftp.html?#
   1. click on CPS Supplement
   2. On the top rows, you will see the Technical Documentation and the microdata files (DOS/Windows preferred).
2. After downloading, to read in the ascii file, you’ll have to write your own program, using the Record Layout given in the Tech Doc.
   1. An alternative to writing your own program. The NBER site does not have the Nov 2018 file, but does have the Nov 2016.  You may be able to use the data definition statement file for Nov 2016, as there were no changes to the variables or locations.  Certain values, however, did change.   To obtain this data definition statement file, go here:   https://data.nber.org/data/cps_progs.html then scroll down to Nov 2016 Voting and Registration.  Select the software of your choice (SAS, SPSS, Stata).  Download the file.  This will convert the ascii file to a SAS/SPSS/Stata file.
3. Variables you will definitely need to work with are:  GESTFIPS, GTCBSA, PRTAGE, PRPERTYP, PRCITSHP, PES1, PES2.
4. Be sure to read these parts of the Tech Doc:  Attachments 1, 3, 6, 7, 8.
5. Main universe for the supplement:   PRTAGE = 18+  and PRCITSHP = 1,2,3,4.
6. Condition for being registered to vote:   PES1 = 1  OR  PES2 = 1.

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4. Election Results (and County Registration & Turnout data): US Election Atlas

• Price: Depends on the dataset, but I tend to spend at least $200
• Geographies: All Counties & Congressional Districts in the US

For election results for the entire US, I tend to purchase the 2016 President by County dataset from Dave Leip’s Atlas of US Presidential Elections. Below are some images showing results by state, but county results tend to be more popular. The last time we worked with the Governor Election dataset, there were many states that didn’t have governor election data at the county level.

There’s also voter registration and turnout data by county for the entire US – which sounds interesting, but I haven’t had a chance to work with this data yet. I would like to though. Just waiting for the right project.

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5. U.S. Citizen Voting Age Demographics by Age: Social Explorer

• Price: Free trial, then $100 a month for individuals
• Geographies: states, counties, cities, census tracts, block groups, congressional districts, state legislative districts

Social Explorer is a web application that lets you pull and map certain datasets. I don’t use Social Explorer often, because we have in-house tools and mapping software that are more flexible. BUT they do have a Citizen Voting Age Population Special Tabulation based on the most current US Census’ American Community Survey. You can get data on:

• Race
• Citizens by Race
• Citizenship status
• Total Seats in the state
• District Size Deviation based on different bases
• Citizen of Voting Age

If you need some of the more popular demographics like voting age population by race or by age and you don’t already know how to pull this data from census.gov, you could sign up for a free trial of Social Explorer to see if it’s the right tool for your project. 

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6. Custom Data Pull | Cubit

• Price: Starts at $599
• Geographies: All US Geographies from large geographics like states & counties to small geographies like zips, Census tracts, & block

Whew! Still reading? I’m impressed.

So if you’ve gotten this far and you’re thinking, “Yeah, sure I could pull all of this data myself in a couple of days, but I have other important things to do and I really don’t want to sift through all of the data dictionaries, methodology statements and tool instructions to make sure that I have the most current data for my area of interest,” you are not alone. You sound just like our other clients at Cubit who depend on us to provide clean, accurate and easy-to-work-with data as well as human-to-human customer support. You can get voting data, as well as hundreds of other data points, in a custom data pull. Prices start at $599 with a 3 business day turnaround. Tell me what data you need for what geography & I’ll get you a free quote & turnaround estimate.

Don’t see the voting stats that you are looking for in the post above? Contact me. I have a couple of other sources that either aren’t as popular or change with too much frequency for me to include in this roundup.

Conversely, do you have a favorite voter statistics resource that isn’t on my list? Please let me know so I can share it with others.

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Photo by Jake Blucker on Unsplash

Updated: 11/2021. The only time of year that I’m actually happy about traffic is when we get updated traffic data for our reports. Below are 52 of my favorite sources of traffic data that you can use to visualize the AADT or annual average daily traffic that drives past your business (yay!) or past your home (boo!). Let’s start with a table of traffic count data sources from state departments of transportation — DOTs for short.

State DOT Traffic Counts Resources

State DOT Name & Link	Most Current AADT/ADT Year in Interactive Map	Notes
Alabama DOT Traffic	2020 AADT
Alaska DOT Traffic	2020 AADT
Arizona DOT Traffic	2020 (some) AADT
Arkansas DOT Traffic	2020 ADT	Static maps by county here
California DOT Traffic	2019 AADT	Tabular data here
Colorado DOT Traffic	2020 AADT	Other source here
Connecticut DOT Traffic	2019 (some) AADT
Washington DC DOT Traffic	2019 AADT
Delaware DOT Traffic	2020 AADT
Florida DOT Traffic	2020 AADT	Can download shapefile here
Georgia DOT Traffic	2020 (some) AADT	Other source here
Hawaii DOT Traffic	2020 AADT
Idaho DOT Traffic	2019 AADT
Illinois DOT Traffic	2019 (some) ADT	Static traffic map here
Indiana DOT Traffic	2020 AADT	Can download shapefiles here
Iowa DOT Traffic	2019 (some) AADT	Static maps here
Kansas DOT Traffic	2020 AADT	Other map here
Kentucky DOT Traffic	2020 (some) AADT
Louisana DOT Traffic	2020 (some) AADT
Maine	2019 (some) AADT
Maryland DOT Traffic	2020 AADT	Static map here
Massachusetts DOT Traffic	2020 AADT
Michigan DOT Traffic	2020 AADT
Minnesota DOT Traffic	2020 (some) AADT	Static maps & shapefile here
Mississippi DOT Traffic	2019 ADT
Missouri DOT Traffic	2020 AADT
Montana DOT Traffic	2020 AADT
Nebraska DOT Traffic	2020 AADT	Other resource here
Nevada DOT Traffic	2020 AADT	Static maps here
New Hampshire DOT Traffic	2020 AADT
New Jersey DOT Traffic	2019 (some) AADT	Can download shapefile here
New Mexico DOT Traffic	2021 (some) AADT	Static maps here
New York DOT Traffic	2019 AADT	Can download shapefile here
North Carolina DOT Traffic	2019 AADT	Can download shapefile; Static map available
North Dakota DOT Traffic	2020 (some) AADT	Static map here
Ohio DOT Traffic	2020 AADT
Oklahoma DOT Traffic	2020 AADT	Can download shapefile here
Oregon DOT Traffic	2019 AADT
Pennsylvania DOT Traffic	2020 AADT	Static maps here
Rhode Island DOT Traffic	2016 AADT
South Carolina DOT Traffic	2020 AADT
South Dakota DOT Traffic	2020 ADT
Tennessee DOT Traffic	2021 (some) AADT
Texas DOT Traffic	2020 AADT
Utah DOT Traffic	2019 AADT	Data in KMZ file
Vermont DOT Traffic	2020 (some) AADT
Virginia DOT Traffic	2020 ADT
Washington DOT Traffic	2020 AADT
West Virginia DOT Traffic	2017 (some) AADT	Other map here
Wisconsin DOT Traffic	2020(some) AADT
Wyoming DOT Traffic	2019 AADT

The DOT datasets above hit the data sleuthing jackpot in that they are free traffic count data sources as well as trustworthy and fairly current. If you have to have 2021 data, skip to the What traffic count data do we use in Cubit’s reports & maps? section below. It can be a bit of pain to incorporate DOT traffic data into your business documents, but it’s nothing that you can’t solve with a good GIS (mapping software) or worst-case scenario, a screen capture tool. 

Need traffic counts for the entire US?

DOT traffic count data are by definition just for 1 state, but some projects require multi-state traffic counts. The Federal Highway Administration provides spatial data for traffic counts for the entire US. The last time I emailed them (November 2021), the shapefiles contained 2019 AADT. I really like the FHWA data, but what I hear from my clients is that there’s a huge learning curve to working with shapefiles. So if you aren’t already familiar with shapefiles, consider sticking with the state DOT resources in the table above or working with us at Cubit to build you a custom map with traffic data.

Don’t have time to learn about AADT, GIS, shapefiles, etc.?

I hear you! Sure, you could pull traffic data yourself. Or for $124, you can get a radius report with traffic data. In fact, our clients order more traffic data reports than any other radius report customization – it’s that popular! Since 2009, these same clients outsource these data pulling tasks and research to us at Cubit so they can focus on building their businesses. 

What traffic count data do we use in Cubit’s reports & maps?

Unlike most of our demographic data that comes directly from government data sources, we use current (2021) traffic estimates from Kalibrate, a private data vendor, first because:

1. Kalibrate sources their data from public & private data sources. This means that for certain areas, they have more traffic counts than public data sources alone.
2. Kalibrate’s data are consistent across states. If you need a radius report in New York City where you want to see traffic counts for both New York and New Jersey, your traffic data will be consistent rather than using 2020 New York data versus 2019 New Jersey data.

Second, if the Kalibrate traffic data doesn’t have enough current traffic counts for a particularly rural area, then we double-check with either the federal dataset or the state DOT datasets (above). So you get the best of both worlds – current data from a private data source supplemented by government data.

Got questions about traffic counts? Email me, because I’m here to help.

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Photo by Joey Csunyo on Unsplash

Check out this map of the 100 fastest growing cities with populations of 50,000 or greater in the US from 2013 to 2014.

The data are from the US Census Bureau’s 2014 Population Estimates that were released in May 2015.

The top 20 fastest growing US cities from 2013 to 2014 are listed in the Chart below.

#	Geography	Population Estimate (as of July 1)		Change, 2013 to 2014
		2013	2014	Number	%
1	San Marcos city, Texas	54,567	58,892	4,325	7.9
2	Georgetown city, Texas	54,934	59,102	4,168	7.6
3	Doral city, Florida	50,594	54,116	3,522	7
4	Frisco city, Texas	137,062	145,035	7,973	5.8
5	South Jordan city, Utah	59,379	62,781	3,402	5.7
6	Conroe city, Texas	62,591	65,871	3,280	5.2
7	McKinney city, Texas	149,168	156,767	7,599	5.1
8	Milpitas city, California	70,110	73,672	3,562	5.1
9	Meridian city, Idaho	83,515	87,743	4,228	5.1
10	Castle Rock town, Colorado	53,152	55,747	2,595	4.9
11	Dublin city, California	52,162	54,695	2,533	4.9
12	Irvine city, California	237,111	248,531	11,420	4.8
13	New Braunfels city, Texas	63,365	66,394	3,029	4.8
14	Pleasanton city, California	74,248	77,682	3,434	4.6
15	Buckeyetown, Arizona	56,899	59,470	2,571	4.5
16	Chino city, California	81,083	84,723	3,640	4.5
17	Ankeny city, Iowa	51,551	53,801	2,250	4.4
18	Lake Elsinore city, California	57,542	60,029	2,487	4.3
19	Fort Myers city, Florida	68,096	70,918	2,822	4.1
20	Mount Pleasant town, South Carolina	74,735	77,796	3,061	4.1

Download the top 100 city list as an Excel file.

Or if you need to look up the 2014 population for your city, you can find that data for free by clicking on your state and then navigation to your city: https://www.cubitplanning.com/data/quick-reports

Texas and California respectively contain 6 of the top 20 fastest growing Cities.

Since I live in central Texas (Austin to be precise), I’m not surprised to see San Marcos, Georgetown or New Braunfels on the above list. I’m seeing tremendous changes in the smaller cities surrounding Austin, especially as the housing prices & rent rates in Austin are increasing.

Got a question? Contact us.

Photo by Chris Lawton on Unsplash

Once in a blue moon, I get a custom data request to use the most current US Census data to produce estimates for Nielsen’s designated market areas or DMAs.

If you can buy data from Nielsen, you should, because they are the only definitive source for DMAs. That said, I’ve tried to purchase data from Nielsen multiple times and they’ve never called or emailed me back. So if you can’t get Nielsen to call you back, you can use the following process.

Nielsen defines “a DMA region is a group of counties that form an exclusive geographic area in which the home market television stations hold a dominance of total hours viewed.”

Given that DMAs are groups of counties and the US Census Bureau publishes estimates for counties, then all you have to do is:

1. Identify the counties that make up the DMA;
2. Pull the most current Census demographics for those counties; &
3. Sum up the estimates.

Easy peasey, right? There are 12 DMAs that split counties. See the map below for 2 examples of DMAs that split counties.

List of DMAs that Split Counties

Oneida County	Utica
	Syracuse
Lea County	Odessa-Midland
	Albuquerque-Santa Fe
Apache County	Phoenix
	Albuquerque-Santa Fe
Kern County	Bakersfield
	Los Angeles
Riverside County	Los Angeles
	Palm Springs
Solano County	San Francisco- Oakland – San Jose
	Sacramento – Stockton – Modesto
El Dorado County	Reno
	Sacramento – Stockton – Modesto

So if you don’t need data for these problem DMAs, you can google search for a mapping of DMAs to counties (like this one). Then you can pull the most current Census data from census.gov (or we sell the most popular demographic data points for all US counties for $199 as an instant download here) and then use a handy SUMIF function in Excel to produce your estimates.

But if you need demographics for all DMAs or at least 1 DMA that splits counties, here’s how you can handle these problem geographies.

1. Produce a shapefile with DMA Boundaries

For the 199 DMAs that play nice with county boundaries

 A. Start with these boundaries: https://github.com/simzou/nielsen-dma

 B. Fix Rochester, MN and Rochester, NY (which are swapped) and created boundaries for Anchorage, AK, Juneau, AK, Fairbanks, AK and Honolulu, HI (which were missing).

 C. Doublecheck your work using Nielsen documentation and make any needed corrections.

The 11 DMAs that split counties

1. In the file that you’ve created above, swap the boundaries for these 11 DMAs listed in this blog post above with the boundaries in the 2008 shapefile provided by Harvard here.
2. Doublecheck your work using Nielsen documentation and make any needed corrections.

2. Intersections with Census geographies.

Now that you have a DMA spatial file that you are happy with, run intersections with Census geographies.

1. For the 199 DMAs that play nice with counties, produce a county to DMA list.
2. For the 11 DMAs that split counties, run intersections between the DMA and Census tracts and calculate the area percent overlap. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people.

 3. Estimating Demographics

1. For the 199 DMAs that play nice with counties, sum the county estimates.
2. For the 11 DMAs that split counties, multiply the Census tract estimates by the percent overlap. If 10% of the area of a Census tract is in the Reno DMA, then assign 10% of the population in that Census tract to the Reno DMA. Thoughts: there are more accurate ways to solve this, but this one works pretty well for the level of effort involved.
3. You can use this formula for median calculations like median income or median age.

4. QA

1. Compared your results to Nielsen’s data. For example, New York, Los Angeles, & Chicago are the DMAs with the largest populations. Are your 3 largest DMAs also New York, Los Angeles & Chicago?
2. Consider calculating a percent difference between Nielsen’s Metro age 12+ population for 2019 and the Census Bureau’s 2018 age 10+ population. This percent difference would show you if any of your estimates are off.

Want to geek out more about Census demographics or DMAs or anything else data related?

Either fill out the Custom Data Request form or call me, Kristen, at 1-800-939-2130.

Photo by NASA on Unsplash

Zoom around on this map to explore the 100 fastest growing counties in the US from 2013 to 2014.

The data are from the US Census Bureau’s 2014 Population Estimates that were released on March 26, 2015.

The top 20 fastest growing US counties from 2013 to 2014 are listed in the Chart below.

Rank	Geography	Percent Change, 2013 to 2014
1	Williams County, North Dakota	8.7
2	Stark County, North Dakota	7
3	Sumter County, Florida	5.4
4	Pickens County, Alabama	5.1
5	Hays County, Texas	4.8
6	Fort Bend County, Texas	4.7
7	Forsyth County, Georgia	4.6
8	Wasatch County, Utah	4.3
9	Comal County, Texas	4
10	Morgan County, Utah	4
11	St. Johns County, Florida	4
12	Andrews County, Texas	4
13	Montgomery County, Texas	3.8
14	Williamson County, Texas	3.8
15	Kendall County, Texas	3.8
16	Walton County, Florida	3.6
17	Dallas County, Iowa	3.6
18	Osceola County, Florida	3.6
19	Richland County, Montana	3.5
20	Loudoun County, Virginia	3.4
Source: US Census Bureau, 2014 Population Estimates, Released March 26, 2015.

Download the top 100 county list as an Excel file.

Or if you need to look up the 2014 population for your county, you can find that data for free by 1. clicking on your state and then 2. navigating to your county’s page starting here: https://www.cubitplanning.com/data/quick-reports

Texas contains 7 of the top 20 fastest growing counties while Florida has 4 counties.

Source: US Census Bureau, 2014 Population Estimates, Released March 26, 2015.

Unsurprising: Texas and Florida
As a Central Texan who lives near to Hays, Comal & Williamson Counties, I’m not surprised to see these 3 counties in the top 20 fastest growing list. With solid job opportunities and a reasonable cost of living, continued population growth in Texas is likely.

As for Florida, I’d be interested to pull age data for the new residents. Is this Florida population growth due to Baby Boomer retirees, or are families and young couples moving there in search of job opportunities?

Surprising: North Dakota and Where’s California?
With 2 North Dakota counties at the top of the fastest 100 growing counties list, it appears that the North Dakota oil boom continued to attract workers through 2014. And surprisingly, no California counties appear in the top 20 list this year.

Got questions? Contact us.