Software Engineer salary in South Carolina
Official occupation: 15-1252 Software Developers · Reference period May 2025 · Data updated · Confidence 95/100
In South Carolina, the median software engineer earns $129,450 a year, 5% below the United States median of $135,980.
It ranks 23rd of 50 states with a published figure.
Pay is widely spread: the top 10% earn at least $212,460, 2.8 times the $76,010 that marks the bottom 10%.
With 13,230 jobs and a location quotient of 0.53, the role is less common here than in the United States as a whole.
For context, the median across all occupations in South Carolina is $46,490, so this role pays 2.8 times the local typical wage.
Published figures
| Measure | South Carolina | National |
|---|---|---|
| Median annual pay Observed | $129,450 | United States: $135,980 |
| Mean annual pay Observed | $136,240 | United States: $148,100 |
| 10th percentile Observed | $76,010 | United States: $82,460 |
| 25th percentile Observed | $95,750 | United States: $105,210 |
| 75th percentile Observed | $167,750 | United States: $171,980 |
| 90th percentile Observed | $212,460 | United States: $214,670 |
| Median hourly pay Observed | $62.24 | United States: $65.38 |
| Employment (jobs) Observed | 13,230 | |
| Jobs per 1,000 employees Observed | 5.737 | |
| Location quotient Observed | 0.53 | |
| Difference from United States median ($135,980) Derived | −5% | |
| Rank among 50 states Derived | 23 | |
| Ratio to South Carolina all-occupation median ($46,490) Derived | 2.78× | |
| 90th / 10th percentile ratio Derived | 2.80 |
Nearby in the ranking
Largest cities in South Carolina: Columbia, Charleston, North Charleston, Mount Pleasant, Rock Hill (GeoNames). Figures are for the whole state, not individual cities.
More pay data
- All roles in South Carolina
- Software Engineer salary across the United States
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Source, method and data quality
- Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (OEWS), May 2025 (Public domain (U.S. Government work)). Reference period: May 2025. Updates: Yearly (spring release).
- Observed figures are copied from the published table without adjustment. Derived figures (rankings, ratios and differences) are calculated by us from those observed figures. No figure on this page is modeled or estimated.
- Relative standard error (PRSE) published per estimate.
- Confidence score: 95/100. Based on the published sampling error and job count. We only publish region pages scoring 60 or more that have at least 6 observed figures.
- Place hierarchy from GeoNames (CC BY 4.0). Data last updated: .
- Full method: methodology.