Explore comprehensive county demographic data in a spreadsheet. This dataset provides a list of all U.S. counties with their state. It also has population by county and detailed U.S. Census data by county for age, gender, and race. Explore for free in Row Zero, a 1000x more powerful spreadsheet built for big data.
Open County Demographics Dataset
Dataset Summary
This spreadsheet includes several different sheets of U.S. county data from the U.S. Census Bureau. County demographic data includes county population by age, gender, and race with both raw counts and percentages. It also includes counts for U.S. Citizens of voting age.
You can also map county to state, ZIP to county, and filter to a list of ZIP codes by county.
The workbook contains multiple sheets:
- Demographics by County
- Map County to State
- Map County to ZIP Code
- Map ZIP to County
- Overall U.S. Demographics
- States
Highlights from the Dataset:
Largest Counties in the U.S.
Top 10 most populated counties in America:
- Los Angeles County, California - 9,848,406
- Cook County, Illinois - 5,185,812
- Harris County, Texas - 4,758,579
- Maricopa County, Arizona - 4,491,987
- San Diego County, California - 3,282,782
- Orange County, California - 3,164,063
- Miami-Dade County, Florida - 2,685,296
- Kings County, New York - 2,646,306
- Dallas County, Texas - 2,603,816
- Riverside County, California - 2,449,909
Compare this to the median county population of 25,967 residents. You can also easily filter the spreadsheet to see the largest counties by state.
Oldest Counties in the U.S. (in terms of population)
Several of these are popular counties for retirees.
- Sumter County, Florida - median age of 68.4 and 57.8% of the population 65 and older
- Catron County, New Mexico - median age of 62.6 and 44.5% of population 65+
- Charlotte County, Florida - median age of 60.0 and 40.4% of population 65+
- Meagher County, Montana - median age of 59.9 and 34.5% of the population 65+
- La Paz County, Arizona - median age of 59.7 and 42.2% of the population 65+
- Alcona County, Michigan - median age of 59.7 and 36.2% of the population 65+
- Jefferson County, Washington - median age of 59.5 and 39.6% of the population 65+
- Northumberland County, Virginia - median age of 59.5 and 37.9% the population 65+
- Custer County, Idaho - median age of 59.5 and 36.1% of the population 65+
- Ontonagon County, Michigan - median age of 59.4 and 37.8% of the population 65+
Counties with the Most Children (in terms of population)
Compare oldest counties to youngest counties with the highest percent of population under 18
- Kusilvak Census Area, Alaska - 41.8% under 18 and a median age of 23.6
- Todd County, South Dakota - 39.3% under 18 and a median age of 25.4
- Dewey County, South Dakota - 37.6% under 18 and a median age of 27.6
- Northwest Arctic Borough, Alaska - 37.6% under 18 and a median age of 28.3
- Buffalo County, South Dakota - 36.3% under 18 and a median age of 26.2
- Oglala Lakota County, South Dakota - 36.1% under 18 and a median age of 27
- Sterling County, Texas - 36% under 18 and a median age of 31.4
- Oldham County, Texas - 35.8% under 18 and a median age of 32.5
- Gaines County, Texas - 35.7% under 18 and a median age of 29.3
- Corson County, South Dakota - 35.6% under 18 and a median age of 29.9
Manliest Counties in the U.S. (in terms of population)
Counties with the highest male to female ratio
- Forest County, Pennsylvania - 2.44 males to 1 female
- Crowley County, Colorado - 2.27 males to 1 female
- Aleutians West Census Area, Alaska - 2.27 males to 1 female
- West Feliciana Parish, Louisiana - 2.13 males to 1 female
- Chattahoochee County, Georgia - 2.01 males to 1 female
- Issaquena County, Mississippi - 2.01 males to 1 female
- Stewart County, Georgia - 1.95 males to 1 female
- Concho County, Texas - 1.91 males to 1 female
- Wheeler County, Georgia - 1.87 males to 1 female
- Union County, Florida - 1.81 males to 1 female
Use Cases for this Dataset
Row Zero is a powerful spreadsheet built for big data, so you can easily import your data into the spreadsheet (or vice versa) to map your data or just start exploring this comprehensive county dataset with charts and pivot tables. Here are a few common use cases:
- Lookup population by county by age, race, and gender.
- Rank counties by state by size and percent county breakdown for race, age, and gender.
- Enrich your current datasets with county data. You can use XLOOKUP and the ZIP to County mapping to enrich addresses with county data.
- Calculate market penetration by county. Measure your user counts or sales by county vs county population counts to see your U.S. county market penetration. You can use the detailed demographic breakdowns to measure more advanced cohorts by gender, age, and race.
- Evaluate the diversity of each county by race, gender, and age.
Data Sources
Data sources for this county demographics dataset include the U.S. Census Bureau and the U.S. Office of Housing and Urban Development. Data has been updated as of February 2025 with the most recent data available.