SD 46 /Midwest · West North Central
Midwest · West North Central
South Dakota population and geography evidence for website planning
South Dakota is a state in the Census Midwest region and West North Central division. This independent profile joins the Census Bureau's 2020 and 2025 population estimates to its reviewed 2025 county and place geography. It is a planning reference—not a local service page, audience forecast, ranking claim or measure of search demand.
01 / Reconciled snapshot
Population estimates with their reference years visible
Population values are estimates, not a census count for 2025. The annual change reconciles the 2024 and 2025 estimates in the pinned source, while the five-year percentage uses the published 2020 estimate as its denominator.
02 / Annual change components
What contributes to the published 2025 change
+2.8 per 1,000.
+2.33 per 1,000.
+3.42 per 1,000.
+5.75 per 1,000.
Net migration equals domestic plus international migration in this record. Natural change plus net migration plus the Census residual of +27 reconciles to the annual population change. Rates are per 1,000 people and should not be read as percentages.
03 / Geographic structure
County equivalents and two Census place types
- Counties or equivalents
- 66
- Incorporated places
- 310
- Census-designated places
- 175
- Combined Census places
- 485
Incorporated places represent 63.92% of the combined place inventory. These are administrative and statistical records, not an instruction to publish a page for every geography.
04 / Ten-metric context
Where each published value sits in the 51-profile benchmark
Higher means a larger published value, not a better outcome. Population and geography percentiles do not measure audience size, search demand, website quality or commercial opportunity.
05 / Constrained comparisons
Three named peers from the same evidence set
Peers use the documented ten-metric distance across all 51 complete profiles. Every delta below is South Dakota minus the named peer. The comparison is descriptive and does not create a market ranking.
Census-region peer
North Dakota · ND 38
Midwest, West North Central. Nearest remaining complete profile in the Census Midwest region.
- 2025 population estimate
- +135,736 people
- Population change, 2020 to 2025
- +2.8 percentage points
- Annual population change, 2025
- +0.11 percentage points
- Natural change rate, 2025
- -0.5 per 1,000
- Domestic migration rate, 2025
- +1.69 per 1,000
- International migration rate, 2025
- -0.11 per 1,000
- Net migration rate, 2025
- +1.58 per 1,000
- County or equivalent count
- +13 geographies
- Census place count
- +79 geographies
- Incorporated-place share
- -23.52 percentage points
Cross-region peer
Oklahoma · OK 40
South, West South Central. Nearest complete profile outside the Census Midwest region.
- 2025 population estimate
- -3,188,194 people
- Population change, 2020 to 2025
- +1.34 percentage points
- Annual population change, 2025
- +0.24 percentage points
- Natural change rate, 2025
- +2.18 per 1,000
- Domestic migration rate, 2025
- -1.2 per 1,000
- International migration rate, 2025
- +1.37 per 1,000
- Net migration rate, 2025
- +0.18 per 1,000
- County or equivalent count
- -11 geographies
- Census place count
- -361 geographies
- Incorporated-place share
- -7 percentage points
Remaining national peer
Nebraska · NE 31
Midwest, West North Central. Nearest remaining complete state/DC profile.
- 2025 population estimate
- -1,082,912 people
- Population change, 2020 to 2025
- +2.54 percentage points
- Annual population change, 2025
- +0.24 percentage points
- Natural change rate, 2025
- -0.25 per 1,000
- Domestic migration rate, 2025
- +2.51 per 1,000
- International migration rate, 2025
- +0.14 per 1,000
- Net migration rate, 2025
- +2.65 per 1,000
- County or equivalent count
- -27 geographies
- Census place count
- -108 geographies
- Incorporated-place share
- -25.12 percentage points
06 / Evidence interpretation
Three distinctive values and four planning safeguards
2025 population estimate: 935,094
South Dakota sits at percentile 10.8 of 100 for 2025 population estimate across the 50 states and District of Columbia, placing the published value in the lower quartile. Against North Dakota, the constrained regional peer, the difference is +135,736 people. This observation can frame a information hierarchy hypothesis and a separate content-governance capacity check, but both need direct user evidence before changing a website brief. Population size does not measure website audience or intent.
Natural change rate, 2025: +2.8 per 1,000
South Dakota sits at percentile 83.3 of 100 for natural change rate, 2025 across the 50 states and District of Columbia, placing the published value in the upper quartile. Against Oklahoma, the constrained cross-region peer, the difference is +2.18 per 1,000. This observation can frame a life-stage research hypothesis and a separate accessibility testing check, but both need direct user evidence before changing a website brief. Aggregate natural change cannot describe an individual visitor.
Population change, 2020 to 2025: 5.33%
South Dakota sits at percentile 81.4 of 100 for population change, 2020 to 2025 across the 50 states and District of Columbia, placing the published value in the upper quartile. Against Nebraska, the constrained national peer, the difference is +2.54 percentage points. This observation can frame a dated-content governance hypothesis and a separate research refresh cadence check, but both need direct user evidence before changing a website brief. A five-year population estimate is not a forecast.
Separate annual change into its published components
The 2025 estimate changed by +7,984 people. Natural change added to the estimate by +2,605; domestic migration added to the estimate by +2,169; and international migration added to the estimate by +3,183. Net migration was +5,352, while the Census residual was +27. Keeping those fields separate prevents one headline number from hiding materially different movements.
Treat legal and statistical place types as different concepts
South Dakota's reviewed geography contains 310 incorporated places and 175 census-designated places. Incorporated places account for 63.92% of the combined Census-place inventory. A useful location taxonomy should explain that distinction, preserve official names and identifiers, and avoid creating pages simply because a record exists.
Use percentile position as context, never as a quality score
The evidence matrix compares South Dakota with the same finite 51-profile benchmark. Its three furthest-from-middle values are 2025 population estimate, natural change rate, 2025, population change, 2020 to 2025. These positions describe published quantities only. They cannot establish buyer intent, conversion potential, service need, ranking difficulty or likely traffic.
Pair public evidence with direct task research
The state-level source can help scope questions, but it cannot reveal which journeys matter to a particular organization. Before changing navigation or publishing further location content, validate terminology, priority tasks, accessibility needs and decision criteria with real users and first-party behavior. Record the source date so later estimate revisions can be audited.
Read the complete evidence order before selecting a headline
From the lowest to the highest percentile in the fixed 51-profile benchmark, South Dakota's evidence order is 2025 population estimate (lower quartile); census place count (middle half); incorporated-place share (middle half); county or equivalent count (middle half); domestic migration rate, 2025 (middle half); net migration rate, 2025 (middle half); international migration rate, 2025 (middle half); annual population change, 2025 (upper quartile); population change, 2020 to 2025 (upper quartile); natural change rate, 2025 (upper quartile). This ordered sequence keeps all ten reviewed measures visible, so one migration component, population change or geography count cannot be selected in isolation merely because it produces a convenient narrative.
Evidence fingerprint: sha256:8c9346afcb1…03cae5cba5bd
07 / Falsifiable discovery work
Questions the public data cannot answer by itself
- 01
Does information hierarchy need a different test for South Dakota?
Question 1 starts from 2025 population estimate: 935,094 and the named regional comparison with North Dakota. Test the hypothesis using direct task evidence; do not infer an individual's needs or local search demand from the aggregate Census measure.
- 02
Does life-stage research need a different test for South Dakota?
Question 2 starts from natural change rate, 2025: +2.8 per 1,000 and the named cross-region comparison with Oklahoma. Test the hypothesis using direct task evidence; do not infer an individual's needs or local search demand from the aggregate Census measure.
- 03
Does dated-content governance need a different test for South Dakota?
Question 3 starts from population change, 2020 to 2025: 5.33% and the named national comparison with Nebraska. Test the hypothesis using direct task evidence; do not infer an individual's needs or local search demand from the aggregate Census measure.
- 04
Which South Dakota terms and geographic labels do users actually understand?
The source distinguishes 66 county or equivalent records, 310 incorporated places and 175 census-designated places. Usability research should determine which labels belong in navigation; the inventory alone does not justify separate landing pages.
Practical safeguards for a website brief
- 01
Publish the evidence date beside any derived statement
Label population values as July 1, 2025 estimates and geography as the January 1, 2025 Census snapshot. Do not silently combine them with undated or incomparable sources.
- 02
Keep component definitions available near the summary
Show natural change, domestic migration, international migration, net migration and the residual separately. A glossary or disclosure should explain that Census rates are expressed per 1,000 people.
- 03
Design one coherent taxonomy before expanding location content
Use South Dakota's 66 county equivalents and 485 Census places to test grouping and labels—not as an instruction to manufacture thousands of near-duplicate URLs.
- 04
Measure usefulness with first-party outcomes
If this public-data profile informs a website change, define the intended task outcome, accessibility check and review date. Search impressions or page count alone do not demonstrate that the change helps users.
08 / Method, attribution and limits
A reproducible public-data interpretation
This profile describes aggregate Census estimates and geographic records for South Dakota. Estimates can be revised, boundaries and classifications can change, and state-level measures do not describe an individual visitor. The data cannot establish local buyer intent, market demand, conversion likelihood, website requirements or future population.
Mosalio does not claim an office, staff member, customer or physical-delivery presence in South Dakota. Inclusion does not guarantee crawling, indexing, rankings, impressions, traffic or enquiries.
Population source: U.S. Census Bureau, Annual Estimates of the Resident Population for the United States, Regions, States, District of Columbia, and Puerto Rico: April 1, 2020 to July 1, 2025. Estimate reference date: . Geography source: 2025 TIGERweb ACS legal and statistical geography, as of .
Source: U.S. Census Bureau. Mosalio's independent analysis is not endorsed or certified by the U.S. Census Bureau.
Mosalio validates the exact source digests, reconciles every annual population component, counts the reviewed geography records, calculates percentiles and selects constrained peers with one deterministic transform. The output is independently authored and is not endorsed or certified by the U.S. Census Bureau.
Analysis basis: Midrank percentile across the 50 states and District of Columbia; position describes the published value and is not a quality score. Root-mean-square Euclidean distance across ten clipped robust z-scores; population is log-transformed and geography counts use log1p before median/MAD scaling.
Open the Census population fileReview the geography sourceCensus citation guidance