Census ACS · #904 μSA
Pierre Metro Area
The Pierre, Sd Micropolitan Statistical Area has 20,744 residents. The median household income is $78,965 and the median home value is $217,500.
20,744
Population
9
People / sq mi
$78,965
Median Income
$217,500
Median Home Value
The Pierre CBSA covers 2,186 sq mi of land at 9.5 people per square mile.
Race & Ethnicity
| White | 82.6% |
| Black or African American | 0.0% |
| Asian | 0.0% |
| Hispanic or Latino (any race) | 13.5% |
Economy & Income
$78,965
Median Household Income
$40,220
Per Capita Income
4.9%
Poverty Rate
0.4%
Unemployment
Housing
$217,500
Median Home Value
$925
Median Rent
75.8%
Homeownership
Education
96.0%
High School+
34.3%
Bachelor's+
Commute
0.8%
Drive Alone
4.9%
Work From Home
13.9 min
Avg Commute
28.8%
Foreign Born
Pierre spans this state
Nearby metros
Largest cities in South Dakota
Largest counties in South Dakota
Part of South Dakota
Other metros
Metro areas in South Dakota
Metro rankings
Frequently Asked Questions
The Pierre, Sd Micropolitan Statistical Area has a population of 20,744 according to Census ACS 5-Year estimates, making it the #904 largest CBSA in the US.
The median household income in the Pierre metro area is $78,965, with a per capita income of $40,220.
The Pierre, Sd CBSA spans the state of South Dakota.
More from South Dakota
Data for the Pierre, Sd CBSA (38180) from the American Community Survey 5-Year estimates. Core-Based Statistical Areas combine cities, suburbs, and surrounding counties tied together by commuting patterns.
The this entity record above pulls directly from the U.S. Census Bureau ACS and decennial files. What follows is the per-entity context — how this entity sits in the broader U.S. population demographics distribution and which underlying factors drive the headline numbers.
Every number on this page links back to the U.S. Census Bureau ACS and decennial files; the methodology page describes the inputs, refresh cadence, and known limitations of the underlying data product.
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.