Zip code 32157: Lake Como, Florida
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 32157
32157 is a small-town zip code in Lake Como, Florida (Putnam County), covering 2.5 sq mi of land. About 639 people live here, or 254 per square mile. The median resident is 56.7 years old, compared with 38.9 nationally.
The median household earns $22,111 a year, about 27% of the national median of $80,734. 27.4% of residents live below the poverty line (U.S.: 12.5%). A typical home is valued at $119,800, or 5.4 years of median household income (U.S.: 4.1 years), which makes homes relatively expensive for local earners. 82% of occupied homes are lived in by their owners.
17% of adults hold a bachelor's degree or higher (U.S.: 36%). The most common jobs among working residents are in farming, fishing and forestry; construction and repair; and cleaning and personal care.
How 32157 compares
- Uninsured rate37.4%99thWeaknessU.S. 8.4% · FL 11.5%4th of 973 in FL
- 99thU.S. 17.2% · FL 21.3%116th of 977 in FL
- Median age56.798thU.S. 38.9 · FL 42.6149th of 977 in FL
- Housing vacancy31.8%98thU.S. 10.1% · FL 14.7%102nd of 969 in FL
- Poverty rate27.4%94thWeaknessU.S. 12.5% · FL 12.6%54th of 970 in FL
- Homeownership rate81.6%82ndStrengthU.S. 65.2% · FL 67.6%317th of 969 in FL
- Veterans6.6%61stU.S. 6.2% · FL 7.4%601st of 976 in FL
- 58thU.S. 0.483 · FL 0.485488th of 968 in FL
- 51stU.S. 5.2% · FL 4.8%393rd of 973 in FL
- 33rdU.S. 14.1% · FL 21.9%746th of 977 in FL
- Population density254/sq mi24thU.S. 95/sq mi · FL 418/sq mi712th of 977 in FL
- Diversity index30.324thU.S. 61.4 · FL 64.7765th of 977 in FL
- 14thWeaknessU.S. 35.7% · FL 34.1%796th of 975 in FL
- Median home value$119,8005thU.S. $332,700 · FL $359,000895th of 935 in FL
- Residents under 1811.9%4thU.S. 22% · FL 19.5%826th of 977 in FL
- Broadband access76.4%2ndWeaknessU.S. 91% · FL 91.6%935th of 969 in FL
- Population6391stU.S. 334,922,499 · FL 22,416,077932nd of 977 in FL
- Median household income$22,1111stWeaknessU.S. $80,734 · FL $74,568946th of 948 in FL
- Per capita income$17,7731stWeaknessU.S. $44,673 · FL $42,609953rd of 977 in FL
- 1stU.S. 15.1% · FL 15.7%970th of 975 in FL
- 1stStrengthU.S. 51.1% · FL 60.1%941st of 945 in FL
- Median earnings per workerunder $2,5001stWeaknessU.S. $49,666 · FL $44,337961st of 961 in FL
- 1stU.S. 3.8% · FL 3.1%958th of 973 in FL
- 1stU.S. 9.7% · FL 9.5%970th of 973 in FL
- 1stU.S. 10% · FL 12.8%972nd of 973 in FL
- 1stU.S. 14.5% · FL 11.7%972nd of 973 in FL
| Measure | 32157 | Putnam | FL | U.S. | National percentile | Rank in FL |
|---|---|---|---|---|---|---|
| Uninsured rateWeakness | 37.4% | 14.1% | 11.5% | 8.4% | 4th of 973 | |
| Residents 65 and older | 38.5% | 23.8% | 21.3% | 17.2% | 116th of 977 | |
| Median age | 56.7 | 45 | 42.6 | 38.9 | 149th of 977 | |
| Housing vacancy | 31.8% | 15.4% | 14.7% | 10.1% | 102nd of 969 | |
| Poverty rateWeakness | 27.4% | 23.4% | 12.6% | 12.5% | 54th of 970 | |
| Homeownership rateStrength | 81.6% | 75.4% | 67.6% | 65.2% | 317th of 969 | |
| Veterans | 6.6% | 10.7% | 7.4% | 6.2% | 601st of 976 | |
| Income inequality (Gini) | 0.444 | 0.483 | 0.485 | 0.483 | 488th of 968 | |
| Unemployment rate | 4.9% | 7.4% | 4.8% | 5.2% | 393rd of 973 | |
| Foreign-born residents | 5.9% | 4.7% | 21.9% | 14.1% | 746th of 977 | |
| Population density | 254/sq mi | 103/sq mi | 418/sq mi | 95/sq mi | 712th of 977 | |
| Diversity index | 30.3 | 48.4 | 64.7 | 61.4 | 765th of 977 | |
| Bachelor's degree or higherWeakness | 16.9% | 14.5% | 34.1% | 35.7% | 796th of 975 | |
| Median home value | $119,800 | $160,300 | $359,000 | $332,700 | 895th of 935 | |
| Residents under 18 | 11.9% | 21.2% | 19.5% | 22% | 826th of 977 | |
| Broadband accessWeakness | 76.4% | 85.7% | 91.6% | 91% | 935th of 969 | |
| Population | 639 | 75,164 | 22,416,077 | 334,922,499 | 932nd of 977 | |
| Median household incomeWeakness | $22,111 | $47,934 | $74,568 | $80,734 | 946th of 948 | |
| Per capita incomeWeakness | $17,773 | $28,621 | $42,609 | $44,673 | 953rd of 977 | |
| Work from home | 0% | 9.8% | 15.7% | 15.1% | 970th of 975 | |
| Rent-burdened rentersStrength | 0% | 55.4% | 60.1% | 51.1% | 941st of 945 | |
| Median earnings per workerWeakness | under $2,500 | $36,328 | $44,337 | $49,666 | 961st of 961 | |
| Tech workers | 0% | 1.5% | 3.1% | 3.8% | 958th of 973 | |
| Healthcare workers | 0% | 8% | 9.5% | 9.7% | 970th of 973 | |
| Self-employed workers | 0% | 11.7% | 12.8% | 10% | 972nd of 973 | |
| Government workers | 0% | 13.4% | 11.7% | 14.5% | 972nd of 973 |
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
- White82%
- Black0%
- Hispanic14%
- Asian0%
- Native American0%
- Pacific Islander0%
- Other0%
- Multiracial3%
Language spoken at home (households)
Households
- Households
- 309
- Average household size
- 2.1
- Family households
- 46.3%
- Married couples
- 34.3%
- Living alone
- 49.8%
- Veterans (of adults)
- 6.6%
- Male / female
- 59% / 41%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 453
- Owner-occupied
- 81.6%
- Vacant
- 31.8%
- Median year built
- 1981
- Median rooms
- 4.4
- Renters paying 30%+ of income
- 0%
- Renters paying 50%+ of income
- 0%
- Home value to income
- 5.4× (U.S. 4.1×)
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 | 32157 | U.S. |
|---|---|---|
| Management, business, science and arts | — | $74,888 |
| Service | — | $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
- 89%
- Bachelor's degree or higher
- 16.9%
- Graduate or professional degree
- 14.7%
- Households with broadband
- 76.4%
- Cable, fiber or DSL
- 73.1%
- No internet access
- 23.6%
- Without health insurance
- 37.4%
- Limited-English households
- 0%
Geography
- City (USPS)
- Lake Como
- State
- Florida
- County
- Putnam County
- Center point
- 29.4615° N, 81.5878° W
- Land area
- 2.5 sq mi
- Water area
- 0.6 sq mi
- Time zone
- Eastern Time (UTC-5, UTC-4 in summer)
- Zip type
- Residential delivery area
Zip codes near 32157
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 32112 | Crescent City, FL | 2.5 mi | $39,890 |
| 32181 | Pomona Park, FL | 3.3 mi | $47,101 |
| 32193 | Welaka, FL | 4.7 mi | $56,528 |
| 32139 | Georgetown, FL | 6 mi | $58,438 |
| 32189 | Satsuma, FL | 7.1 mi | $42,920 |
| 32187 | San Mateo, FL | 8.4 mi | $51,982 |
| 32190 | Seville, FL | 10 mi | $92,222 |
| 32178 | Palatka, FL · PO box | 13 mi | — |
| 32110 | Bunnell, FL | 14 mi | $57,485 |
| 32131 | East Palatka, FL | 15 mi | $69,416 |
| 32134 | Fort Mc Coy, FL | 16 mi | $45,760 |
| 32147 | Hollister, FL | 17 mi | — |
Questions about 32157
What city is zip code 32157?
32157 is assigned to Lake Como, Florida. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 32157 in?
32157 is in Putnam County, Florida.
What is the population of 32157?
About 639 people live in 32157, according to the Census Bureau's American Community Survey.
What time zone is 32157 in?
32157 is in Eastern Time.
What is the median household income in 32157?
The median household income in 32157 is $22,111.
What zip codes are near 32157?
The closest zip codes to 32157 are 32112, 32181, 32193, 32139, 32189.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 32157, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.