This section is generated from cached city metrics and clearly labeled state-level benchmarks. It is meant to make the Gantt page less generic and more useful for comparing housing, income, utilities, taxes, insurance, demographics, and nearby alternatives.
Affordability Summary
Population is 15,057, so Gantt should be compared with similar-size places before using broader South Carolina averages. Median household income is $47,265, so the best affordability read for Gantt is income versus housing, taxes, utilities, and insurance together.
Median home value is $156,200, so ownership costs in Gantt should be checked with mortgage, property tax, insurance, and maintenance assumptions. Two-bedroom rent is $1,021/mo, so renters can compare Gantt against ownership costs and nearby rental markets.
Housing and Income Context
For Gantt, income is more constrained, so utilities, rent, and taxes deserve extra attention. Home values are comparatively low, but maintenance, taxes, and utilities still matter.
Use the home value, rent, and income fields together before deciding whether Gantt looks more favorable for renting, buying, or comparing with Greenville, SC.
Utility Cost Context
The residential electricity benchmark is $0.164/kWh, so Gantt households should treat usage, home size, heating, and cooling as the practical bill drivers. The electricity value shown for Gantt is a South Carolina state-level EIA benchmark, so it should not be read as a local provider tariff.
For Gantt, utility planning is stronger when the electric benchmark is paired with home age, square footage, insulation, HVAC equipment, and household occupancy.
Property Tax Context
Median property tax paid is $836, so Gantt buyers should still verify parcel-specific tax records before budgeting. Parcel boundaries, exemptions, school districts, and reassessment rules can move the actual bill for a Gantt address.
Compare the property tax field with home value rather than reading it by itself; a lower tax bill can still pair with a different assessment base or exemption profile.
Insurance and Risk Context
Insurance costs in Gantt depend on address-level factors such as roof condition, structure age, coverage limits, claims history, deductible choice, and carrier underwriting.
Home value, tax burden, and insurance exposure should be reviewed together for Gantt, especially when comparing with Greenville, SC.
Population and Demographics
Median age is 33.2, so Gantt may have different school, commute, healthcare, and housing demand patterns than a statewide average. Bachelor+ share is 19.0%, so Gantt education context can be useful when reading labor-market and school sections.
Unemployment is 4.8%, so Gantt wage and job-market context should be compared with commute options and regional employment centers.
