county benchmark · South Carolina
Rent as share of income, 2019-2023
Across 46 counties in South Carolina. Every rank carries its margin of error.
Distribution
| Percentile | Value |
|---|---|
| 10th percentile | 26.8 % |
| 25th | 28.9 % |
| Median | 29.8 % |
| 75th | 31.6 % |
| 90th percentile | 33.1 % |
Highest counties
Darlington County leads reliably only from rank 19 downwards. Its estimate range overlaps those of the ranks above 19, which therefore cannot be separated from it at 90 % confidence.
| Rank | County | Estimate | Range (90 %) | Source |
|---|---|---|---|---|
| 1 | Darlington County | 35.2 % | 31.2 % – 39.2 % | evidence → |
| 2 | Fairfield County | 34.2 % | 23.3 % – 45.1 % | evidence → |
| 3 | Richland County | 33.9 % | 32.9 % – 34.9 % | evidence → |
| 4 | Orangeburg County | 33.8 % | 31.0 % – 36.6 % | evidence → |
| 5 | Kershaw County | 33.7 % | 28.6 % – 38.8 % | evidence → |
| 6 | Pickens County | 32.6 % | 29.2 % – 36.0 % | evidence → |
| 7 | Williamsburg County | 32.6 % | 28.8 % – 36.4 % | evidence → |
| 8 | Clarendon County | 32.2 % | 28.9 % – 35.5 % | evidence → |
| 9 | Edgefield County | 31.9 % | 29.1 % – 34.7 % | evidence → |
| 10 | Lancaster County | 31.9 % | 29.2 % – 34.6 % | evidence → |
| 11 | Dorchester County | 31.8 % | 29.6 % – 34.0 % | evidence → |
| 12 | Bamberg County | 31.6 % | 26.9 % – 36.3 % | evidence → |
| 13 | Hampton County | 31.5 % | 27.8 % – 35.2 % | evidence → |
| 14 | Charleston County | 31.4 % | 30.1 % – 32.7 % | evidence → |
| 15 | Colleton County | 31.1 % | 27.9 % – 34.3 % | evidence → |
| 16 | Horry County | 31.0 % | 29.6 % – 32.4 % | evidence → |
| 17 | Dillon County | 30.5 % | 23.6 % – 37.4 % | evidence → |
| 18 | Beaufort County | 30.4 % | 28.0 % – 32.8 % | evidence → |
| 19 | Greenville County | 30.3 % | 29.5 % – 31.1 % | evidence → |
| 20 | Oconee County | 30.3 % | 27.7 % – 32.9 % | evidence → |
Machine access — free, no API key
Every figure shown here about Rent as share of income, 2019-2023 — South Carolina can also be queried live: FACTANKER runs an MCP server at https://factanker.com/mcp (tools: lookup_entity, get_facts, query_template, search_facts) and a REST endpoint at https://factanker.com/api/get_facts. Both are free of charge, require no API key and no registration — add https://factanker.com/mcp as a connector in Claude, ChatGPT or Copilot. Every answer carries its source document and a citation reference. Setup: /quickstart.