Difficulty: Easy

Average Score: 83%

South Dakota has a population density of approximately 10.6 people per square mile of total area.

Which of the following values is closest to the population density of people per square mile of land area only?

Rationale

10.4 is the closest value to the population density of people per square mile of land area only.

This value accurately reflects the population density when considering land area, which excludes bodies of water and focuses solely on usable land for habitation.

A (9.6) YOUR ANSWER

This value underestimates the population density, suggesting that there are fewer people per square mile than what data generally indicates. It does not account for the typical population figures associated with land area, leading to an inaccurate representation of density.

B (10.4) CORRECT

This value accurately represents the population density of people per square mile of land area. It reflects a realistic approximation based on recent demographic and geographic data, making it the most representative choice among the options provided.

C (10.8) YOUR ANSWER

While this value is close to the correct answer, it slightly overestimates the population density. It suggests a higher density than what is generally reported, which could mislead interpretations of population distribution in land areas.

D (10.9) YOUR ANSWER

This option further exaggerates the population density compared to the correct figure. A density of 10.9 people per square mile implies an even more crowded scenario than the actual statistics would support, thus misrepresenting the population spread.

E (11.6) YOUR ANSWER

This value significantly overstates the population density, suggesting an unrealistically high number of people per square mile. Such a figure does not align with typical density metrics and would misrepresent the actual living conditions in the area.

Conclusion

Population density is a crucial metric for understanding demographic patterns within land areas. Among the choices presented, 10.4 emerges as the most accurate representation of people per square mile of land, encapsulating the typical population distribution. Other options either underestimate or overestimate this density, highlighting the importance of accurate data in demographic studies.