How long do people stay in their homes in Bryant, SD?

Name: How long people stay in Bryant, SD, 2020–2024
Creator: US Census Bureau
License: https://www.census.gov/data/developers/about/terms-of-service.html

34.4% (±15.2 points) of households in Bryant, SD moved into their current home in 2020 or later (2020–2024 American Community Survey).

17.0% have lived in it since before 2000.

Figures last updated on November 12, 2026.

Moved in 2020 or later: 34.4% (±15.2 points)
Since before 2000: 17.0%

When households in Bryant moved in

Occupied housing units by year the householder moved in, 2020–2024
Moved in	Bryant	Hamlin County	South Dakota	United States
2023 or later	3.3% (±3.9 points)	2.2%	4.5%	4.6%
2020 to 2022	31.1% (±14.7 points)	19.2%	20.9%	20.2%
2010 to 2019	31.6% (±10.6 points)	38.4%	39.7%	39.6%
2000 to 2009	17.0% (±9.8 points)	19.6%	16.2%	16.4%
1990 to 1999	4.7% (±5.8 points)	10.1%	9.3%	9.6%
1989 or earlier	12.3% (±7.7 points)	10.4%	9.4%	9.5%

A high share of recent movers usually means more renting households and more turnover; a high share of long-time residents usually means more owners who have stayed.

In Bryant, the share of households that moved in since 2020 is not measurably different from Hamlin County (21.4%).

It is not measurably different from South Dakota (25.4%).

It is not measurably different from the national figure (24.8%).

Households that moved in since 2020 in places near Bryant

Nearest places with a published estimate, compared with Bryant
Place	Distance	Households that moved in since 2020	Compared with this place
Bryant	—	34.4% (±15.2 points)	—
Garfield Township (Hamlin County)	2.4 mi	19.0% (±46.4 points)	Not measurably different
Washington Township (Clark County)	3.9 mi	33.3% (±47.1 points)	Not measurably different
Dixon Township (Hamlin County)	5.8 mi	0.0% (±55.4 points)	Not measurably different
Erwin	7.2 mi	22.7% (±61.9 points)	Not measurably different
Pleasant Township (Clark County)	7.2 mi	0.0% (±95.0 points)	Not measurably different
Hartland Township (Kingsbury County)	7.5 mi	0.0% (±56.7 points)	Not measurably different
Cleveland Township (Hamlin County)	7.7 mi	31.6% (±35.5 points)	Not measurably different
Vienna	8.0 mi	26.7% (±78.3 points)	Not measurably different

None of the nearby places differs measurably from this one on this figure.

Distance is measured in a straight line between the Census Bureau’s internal points for each place.

Households that moved in since 2020 across Hamlin County, place by place

Rank	Place	Households that moved in since 2020
1	Lake Norden	48.4% (±12.0 points)
2	Bryant	34.4% (±15.2 points)
3	Cleveland Township (Hamlin County)	31.6% (±35.5 points)
4	Hamlin Township	30.6% (±32.0 points)
5	Hayti	27.1% (±15.1 points)
6	Estelline	24.4% (±9.2 points)
7	Garfield Township (Hamlin County)	19.0% (±46.4 points)
8	Hazel	14.3% (±39.7 points)

Showing 8 of 19 places in Hamlin County, ranked from highest to lowest.

Survey years: 2020–2024 (American Community Survey 5-year estimates).

Margins of error are at the 90% confidence level.

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Questions about Bryant

How often do people move in Bryant?

34.4% of households in Bryant, SD moved into their home in 2020 or later (2020–2024 American Community Survey).

How many long-time residents does Bryant have?

17.0% of households in Bryant have lived in their home since 1999 or earlier.

Sources

Selected Housing Characteristics (DP04), 2020–2024 ACS 5-year estimates — Bryant city, South Dakota

To check these figures in the Census Bureau’s own API, request the variables below from the 2024 ACS 5-year data profile (acs/acs5/profile) for Bryant city, South Dakota (place:08060, in state:46).

Each estimate (E or PE) has a margin of error beside it (M or PM).

The API needs a free key.

Request a Census API key.

DP04_0051PE, DP04_0051PM, DP04_0052PE, DP04_0052PM, DP04_0053PE, DP04_0053PM, DP04_0054PE, DP04_0054PM, DP04_0055PE, DP04_0055PM, DP04_0056PE, DP04_0056PM

This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.

Figures are published by the US Census Bureau, HUD, the Bureau of Labor Statistics and the FBI; Seayora reproduces them and does not adjust them, except where a sentence says it compares dollar figures after inflation. They describe the whole place, not any one building or street, and are not an appraisal, a rent determination, a tax bill, a safety rating or legal advice.