Zip code 29493: Williams, South Carolina
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 29493
29493 is a small-town zip code in Williams, South Carolina (Colleton County), covering 2.5 sq mi of land. About 156 people live here, or 63 per square mile. The median resident is 50.4 years old, compared with 38.9 nationally. With so few residents, the Census figures below are rough estimates with wide margins of error.
41.7% of residents live below the poverty line (U.S.: 12.5%). The median home value is $92,800. 93% of occupied homes are lived in by their owners.
15% of adults hold a bachelor's degree or higher (U.S.: 36%). Commuters average 79.7 minutes each way, and 2% of workers work from home. The most common jobs among working residents are in healthcare; transportation and moving goods; and management. 31% of them are self-employed (U.S.: 10%).
How 29493 compares
Only about 156 people live here, so these survey estimates have wide margins of error.
- Poverty rate41.7%99thWeaknessU.S. 12.5% · SC 14.1%10th of 401 in SC
- Average commute79.7 min99thWeaknessU.S. 26.4 min · SC 25.6 min1st of 394 in SC
- Healthcare workers35.6%99thU.S. 9.7% · SC 9.5%7th of 409 in SC
- 99thU.S. 10% · SC 9.9%4th of 409 in SC
- Homeownership rate92.9%98thStrengthU.S. 65.2% · SC 71.9%31st of 401 in SC
- Uninsured rate26.3%98thWeaknessU.S. 8.4% · SC 9.6%5th of 407 in SC
- 97thWeaknessU.S. 0.483 · SC 0.47518th of 397 in SC
- Median earnings per worker$90,11496thStrengthU.S. $49,666 · SC $44,6234th of 408 in SC
- Median age50.495thU.S. 38.9 · SC 40.263rd of 411 in SC
- Housing vacancy12.5%80thU.S. 10.1% · SC 13.3%221st of 402 in SC
- Government workers18.6%79thU.S. 14.5% · SC 15.2%123rd of 409 in SC
- 72ndU.S. 5.2% · SC 4.9%116th of 409 in SC
- Per capita income$35,29935thU.S. $44,673 · SC $39,236149th of 411 in SC
- Diversity index32.827thU.S. 61.4 · SC 54.9332nd of 411 in SC
- Broadband access88.6%26thU.S. 91% · SC 88.8%152nd of 401 in SC
- 11thU.S. 14.1% · SC 5.8%253rd of 411 in SC
- Population density63/sq mi9thU.S. 95/sq mi · SC 176/sq mi254th of 411 in SC
- 9thWeaknessU.S. 35.7% · SC 32.1%291st of 409 in SC
- Residents under 1813.5%5thU.S. 22% · SC 21.4%347th of 411 in SC
- 4thU.S. 17.2% · SC 18.9%386th of 411 in SC
- Median home value$92,8002ndU.S. $332,700 · SC $259,000331st of 382 in SC
- Population1561stU.S. 334,922,499 · SC 5,296,225409th of 411 in SC
- Work from home1.7%1stU.S. 15.1% · SC 11.5%353rd of 409 in SC
- Veterans0.7%1stU.S. 6.2% · SC 8.3%390th of 411 in SC
- 1stU.S. 3.8% · SC 2.6%333rd of 409 in SC
| Measure | 29493 | Colleton | SC | U.S. | National percentile | Rank in SC |
|---|---|---|---|---|---|---|
| Poverty rateWeakness | 41.7% | 19.6% | 14.1% | 12.5% | 10th of 401 | |
| Average commuteWeakness | 79.7 min | 34.9 min | 25.6 min | 26.4 min | 1st of 394 | |
| Healthcare workers | 35.6% | 8.2% | 9.5% | 9.7% | 7th of 409 | |
| Self-employed workers | 30.5% | 11% | 9.9% | 10% | 4th of 409 | |
| Homeownership rateStrength | 92.9% | 73.3% | 71.9% | 65.2% | 31st of 401 | |
| Uninsured rateWeakness | 26.3% | 15% | 9.6% | 8.4% | 5th of 407 | |
| Income inequality (Gini)Weakness | 0.550 | 0.465 | 0.475 | 0.483 | 18th of 397 | |
| Median earnings per workerStrength | $90,114 | $42,489 | $44,623 | $49,666 | 4th of 408 | |
| Median age | 50.4 | 42 | 40.2 | 38.9 | 63rd of 411 | |
| Housing vacancy | 12.5% | 18.3% | 13.3% | 10.1% | 221st of 402 | |
| Government workers | 18.6% | 18.3% | 15.2% | 14.5% | 123rd of 409 | |
| Unemployment rate | 6.3% | 9.9% | 4.9% | 5.2% | 116th of 409 | |
| Per capita income | $35,299 | $29,122 | $39,236 | $44,673 | 149th of 411 | |
| Diversity index | 32.8 | 56.4 | 54.9 | 61.4 | 332nd of 411 | |
| Broadband access | 88.6% | 84.8% | 88.8% | 91% | 152nd of 401 | |
| Foreign-born residents | 1.9% | 3.4% | 5.8% | 14.1% | 253rd of 411 | |
| Population density | 63/sq mi | 37/sq mi | 176/sq mi | 95/sq mi | 254th of 411 | |
| Bachelor's degree or higherWeakness | 14.8% | 17.4% | 32.1% | 35.7% | 291st of 409 | |
| Residents under 18 | 13.5% | 22.7% | 21.4% | 22% | 347th of 411 | |
| Residents 65 and older | 8.3% | 20.4% | 18.9% | 17.2% | 386th of 411 | |
| Median home value | $92,800 | $162,500 | $259,000 | $332,700 | 331st of 382 | |
| Population | 156 | 38,783 | 5,296,225 | 334,922,499 | 409th of 411 | |
| Work from home | 1.7% | 6.3% | 11.5% | 15.1% | 353rd of 409 | |
| Veterans | 0.7% | 9% | 8.3% | 6.2% | 390th of 411 | |
| Tech workers | 0% | 1% | 2.6% | 3.8% | 333rd of 409 |
The percentile is the share of Americans who live in a zip code with a lower value, so the 50th percentile is typical. Rank 1 is the highest value in the state. Both include zip codes with at least 100 residents. Strengths and weaknesses mark measures in the best or worst fifth nationally, where higher or lower is clearly better (income, poverty, education, commute, broadband, insurance and similar). Measures like age or density are left unmarked.
People
Age
Race and ethnicity
- White81%
- Black13%
- Hispanic2%
- Asian0%
- Native American0%
- Pacific Islander0%
- Other0%
- Multiracial4%
Language spoken at home (households)
Households
- Households
- 70
- Average household size
- 2.2
- Family households
- 44.3%
- Married couples
- 40%
- Living alone
- 38.6%
- Veterans (of adults)
- 0.7%
- Male / female
- 40% / 60%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 80
- Owner-occupied
- 92.9%
- Vacant
- 12.5%
- Median year built
- 1973
- Median rooms
- 6.6
- Renters paying 30%+ of income
- —
- Renters paying 50%+ of income
- —
- Home value to income
- —
Work and commute
How people get to work
Commute time (one way)
Jobs and careers
Occupations
Industries
Median earnings by type of work
| Type of work | 29493 | U.S. |
|---|---|---|
| Management, business, science and arts | $87,813 | $74,888 |
| Service | $81,250 | $26,804 |
| Sales and office | — | $40,476 |
| Construction and maintenance | — | $49,199 |
| Production and transportation | — | $39,989 |
Education, internet and health coverage
Highest education (adults 25+)
- High school graduate or higher
- 95.1%
- Bachelor's degree or higher
- 14.8%
- Graduate or professional degree
- 0%
- Households with broadband
- 88.6%
- Cable, fiber or DSL
- 62.9%
- No internet access
- 11.4%
- Without health insurance
- 26.3%
- Limited-English households
- 0%
Geography
- City (USPS)
- Williams
- State
- South Carolina
- County
- Colleton County
- Center point
- 33.0453° N, 80.8428° W
- Land area
- 2.5 sq mi
- Water area
- under 0.1 sq mi
- Time zone
- Eastern Time (UTC-5, UTC-4 in summer)
- Zip type
- Residential delivery area
Cities and towns within this zip
- Williams29% of zip
Census places overlapping the zip's area. Mail may use a different city name than the municipality.
Zip codes near 29493
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 29475 | Ruffin, SC | 5.6 mi | $39,769 |
| 29082 | Lodge, SC | 5.6 mi | $42,833 |
| 29481 | Smoaks, SC | 5.9 mi | $46,719 |
| 29929 | Islandton, SC | 7.8 mi | $58,267 |
| 29081 | Ehrhardt, SC | 12 mi | $38,147 |
| 29433 | Canadys, SC · PO box | 12 mi | — |
| 29432 | Branchville, SC | 13 mi | $54,826 |
| 29933 | Miley, SC · PO box | 13 mi | — |
| 29488 | Walterboro, SC | 14 mi | $49,876 |
| 29471 | Reevesville, SC | 14 mi | $38,500 |
| 29447 | Grover, SC · PO box | 15 mi | — |
| 29913 | Crocketville, SC · PO box | 16 mi | — |
Questions about 29493
What city is zip code 29493?
29493 is assigned to Williams, South Carolina. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 29493 in?
29493 is in Colleton County, South Carolina.
What is the population of 29493?
About 156 people live in 29493, according to the Census Bureau's American Community Survey.
What time zone is 29493 in?
29493 is in Eastern Time.
What zip codes are near 29493?
The closest zip codes to 29493 are 29475, 29082, 29481, 29929, 29081.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 29493, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.