county

Yates County, NY

Demographic and economic profile of Yates County, NY, sourced from the US Census Bureau (American Community Survey) via Data USA.

AI Overview

Yates County, NY is a small rural county of 24,637 residents centered on agriculture and related land-use industries, with a median household income of $69,701 and per capita income of $34,262. The labor force is modest—participation stands at 55.3%—with 25.0% of adults holding a bachelor's degree or higher and unemployment at 2.9%. Housing costs are low, with a median home value of $178,000 and median gross rent of $802/month, though the county has seen a population decline of 1.5% over five years.

Claude Sonnet 4.6 · generated Jul 6, 2026 · derived from cached Census, BEA & ACS data on this page

Population

24,637

Census ACS · as of 2023

Median Household Income

$69,701

Data USA · as of 2024

Median Age

42.5 yrs

Data USA · as of 2024

Population Growth (5-year)

-1.5% since 2018

Yates County lost population at this rate over the prior 5-year ACS5 window.

Demographics

Race & Ethnicity

  • White Alone23,137 (94.3%)
  • Two Races Excluding Some Other Race, & Three or More Races354 (1.4%)
  • Two Races Including Some Other Race306 (1.2%)
  • Some Other Race Alone300 (1.2%)
  • Asian Alone215 (0.9%)
  • Black or African American Alone201 (0.8%)

Data USA · as of 2024

Top Languages Spoken at Home

  1. 1.German or other West Germanic3,240
  2. 2.Spanish370
  3. 3.Chinese (incl. Mandarin, Cantonese)105
  4. 4.French (incl. Cajun, Haitian)62
  5. 5.Arabic49

Census ACS · as of 2023

Population Under 18

22.8%

Census ACS · as of 2023

Working-Age (18–64)

55.3%

Census ACS · as of 2023

Population 65 and Over

21.9%

Census ACS · as of 2023

Foreign-Born Population

1.7%

Data USA · as of 2024

Veterans

1,343

Data USA · as of 2024

Economy

GDP per Capita

$42,405

Data USA · as of 2023

Cost of Living Index

—

Not yet cached

Per Capita Income

$34,262

Census ACS · as of 2023

Unemployment Rate

2.9%

Census ACS · as of 2023

Poverty Rate

14.1%

Census ACS · as of 2023

Top Industries

  1. 1.Educational Services, & Health Care & Social Assistance2,500
  2. 2.Manufacturing (Group)1,475
  3. 3.Retail Trade (Group)1,361
  4. 4.Construction (Group)1,017
  5. 5.Agriculture, Forestry, Fishing & Hunting, & Mining747

Data USA · as of 2024

Top Occupations

  1. 1.Management, Business, Science, & Arts Occupations3,375
  2. 2.Sales & Office Occupations2,165
  3. 3.Production, Transportation, & Material Moving Occupations1,804
  4. 4.Service Occupations1,758
  5. 5.Natural Resources, Construction, & Maintenance Occupations1,286

Data USA · as of 2024

Specialized Industries (Location Quotient)

  1. 1.Agriculture, Forestry, Fishing & Hunting, & Mining (LQ 4.21×)705
  2. 2.Construction (LQ 1.60×)1,162
  3. 3.Manufacturing (LQ 1.45×)1,519
  4. 4.Retail Trade (LQ 1.09×)1,251
  5. 5.Educational Services & Health Care (LQ 1.06×)2,597

Census ACS · as of 2023

Housing

Median Home Value

$178,000

Census ACS · as of 2023

Median Gross Rent

$802/mo

Census ACS · as of 2023

Homeownership Rate

77.2%

Data USA · as of 2024

Home Value Distribution

  • $150,000 to $174,999790 (10.8%)
  • $300,000 to $399,999757 (10.3%)
  • $100,000 to $124,999751 (10.3%)
  • $200,000 to $249,999610 (8.3%)
  • $250,000 to $299,999594 (8.1%)
  • $125,000 to $149,999479 (6.5%)

Data USA · as of 2024

Education

Bachelor's Degree or Higher

25.0%

Census ACS · as of 2023

High School Diploma or Higher

84.4%

Census ACS · as of 2023

Workforce

Labor Force Participation

55.3%

Census ACS · as of 2023

Median Worker Earnings

$36,693

Census ACS · as of 2023

Mean Commute Time

22.3 min

Data USA · as of 2024

Households Without a Vehicle

13.0%

Census ACS · as of 2023

How People Get to Work

  • Drove Alone6,987 (68.7%)
  • Worked At Home1,367 (13.4%)
  • Carpooled820 (8.1%)
  • Walked527 (5.2%)
  • Bicycle224 (2.2%)
  • Other171 (1.7%)

Data USA · as of 2024

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Data: US Census Bureau American Community Survey, served via Data USA and the Census Bureau API. See each metric tile for the specific dataset.