Census ACS · #503 MSA
Guayama Metro Area
The Guayama, Pr Metropolitan Statistical Area has 67,171 residents. The median household income is $20,430 and the median home value is $97,900.
67,171
Population
530
People / sq mi
$20,430
Median Income
$97,900
Median Home Value
The Guayama CBSA covers 127 sq mi of land at 530.4 people per square mile.
Race & Ethnicity
| White | 37.3% |
| Black or African American | 14.6% |
| Asian | 0.0% |
| Hispanic or Latino (any race) | 0.6% |
Economy & Income
$20,430
Median Household Income
$12,987
Per Capita Income
47.4%
Poverty Rate
2.9%
Unemployment
Housing
$97,900
Median Home Value
$463
Median Rent
72.4%
Homeownership
Education
-
High School+
-
Bachelor's+
Commute
0.4%
Drive Alone
2.5%
Work From Home
26.8 min
Avg Commute
-
Foreign Born
Nearby metros
Other metros
Metro rankings
Frequently Asked Questions
The Guayama, Pr Metropolitan Statistical Area has a population of 67,171 according to Census ACS 5-Year estimates, making it the #503 largest CBSA in the US.
The median household income in the Guayama metro area is $20,430, with a per capita income of $12,987.
The Guayama, Pr CBSA spans the state of PR.
Data for the Guayama, Pr CBSA (25020) from the American Community Survey 5-Year estimates. Core-Based Statistical Areas combine cities, suburbs, and surrounding counties tied together by commuting patterns.
For this entity, the underlying data on this page comes from the U.S. Census Bureau ACS and decennial files. The breakdown above is the federal record; the paragraphs below add the per-entity context that makes the headline numbers usable for a real decision rather than just a data lookup.
The methodology behind every numeric value on this page is publicly documented on the the U.S. Census Bureau ACS and decennial files portal and described in detail on this site’s methodology page. Refresh cadence varies by underlying series; the page surfaces the as-of date for each number so readers can trace any figure back to the source release.
Practical use of this page is in combination with the comparison and ranking pages elsewhere on the site, which surface the same data for this entity’s peers within U.S. states, metros, cities, and ZIPs. A single-entity reading without peer context can be misleading when an entity is an outlier on one axis but typical on another.
Source: U.S. Census Bureau ACS, 2026.