AP® Human Geography review sheet from Aim for Five (aimforfive.com/geo/units/6/6-4)
Unit 6 · Topic 6.4
6.4 The Size and Distribution of Cities
Several models try to explain how many cities a country has, how big they are and how they're spaced: the rank-size rule, the primate city, Christaller's central place theory and the gravity model. Each assumes ideal conditions, so real city systems fit them only roughly.
Key terms
- rank-size rule
- primate city
- central place theory
- range
- threshold
- gravity model
Rank-size rule and primate cities
The rank-size rule says the nth-largest city in a country has about 1/n the population of the largest. So the second city has about half the largest city's population, the third about a third, and so on. A country that roughly follows it has a balanced network of cities of many sizes, and economic activity is spread fairly widely.
A primate city is a country's largest city when it's more than twice as large as the next largest and dominates the country's economy, politics and culture. Geographer Mark Jefferson described the pattern in 1939. Examples include Bangkok in Thailand, Paris in France, Lima in Peru and Mexico City in Mexico.
Primate cities are common in countries with a highly centralized government and in former colonies, where colonial powers built one main port and capital to collect and ship resources. A primate city attracts most investment and migrants, which can leave the rest of the country behind.
Central place theory
Walter Christaller developed central place theory in 1933, studying towns in southern Germany. A central place is a settlement that provides goods and services to the surrounding area, called its market area or hinterland. Two key terms:
- Range: the maximum distance people will travel to get a good or service. It's short for low-order goods like gas and groceries and long for high-order goods like a pro sports game or a specialized hospital.
- Threshold: the minimum number of customers needed to support a business. A convenience store needs only a few thousand nearby; an IKEA or a children's hospital needs a whole metro area.
What central place theory predicts
Christaller predicted a hierarchy: many small places (hamlets and villages) offering low-order goods, fewer towns, and very few cities offering high-order goods. Market areas fit together as hexagons, because hexagons cover a flat surface with no gaps or overlaps.
The model assumes a flat, uniform plain, evenly spread population with equal incomes, travel possible in every direction at equal cost, and shoppers who always go to the nearest place. Real places have rivers, mountains, highways and uneven wealth, and people combine trips or shop online. Still, the basic idea explains why small towns have a gas station but not a stadium.
The rank-size rule and central place theory both describe a hierarchy of cities, but they explain different things: rank-size describes population sizes, while central place theory explains how settlements are spaced by the services they offer.
The gravity model
The gravity model predicts that interaction between two places, such as trade, migration, phone calls or travel, increases with their populations and decreases with the distance between them. A common form is: interaction = (population of A × population of B) ÷ distance². Big places that are close together interact the most. It's a useful starting point but ignores borders, language, cost and culture, which can block interaction between close places or create strong links between distant ones.
Worked examples
Try each one yourself first, then open the solution.
- Example 1
Testing the rank-size rule
The five largest U.S. metropolitan areas in the 2020 Census had about 20.1 million (New York), 13.2 million (Los Angeles), 9.6 million (Chicago), 7.6 million (Dallas–Fort Worth) and 7.1 million (Houston) people. Does the United States follow the rank-size rule, and is New York a primate city?
Show the solutionHide the solution
- Step 1: Predict each rank from New York: rank 2 = 20.1 ÷ 2 ≈ 10.1 million; rank 3 = 20.1 ÷ 3 = 6.7 million; rank 4 ≈ 5.0 million; rank 5 ≈ 4.0 million.
- Step 2: Compare: the actual cities are all larger than predicted (13.2 vs 10.1, 9.6 vs 6.7, 7.6 vs 5.0, 7.1 vs 4.0), but they still shrink steadily by rank.
- Step 3: Check primacy: 20.1 ÷ 13.2 ≈ 1.5, so New York is not more than twice the size of Los Angeles.
Answer: The U.S. follows the rank-size pattern only roughly; its large cities are bigger than the rule predicts, showing a network of many large cities rather than one dominant city. New York is not a primate city, since it's only about 1.5 times the size of Los Angeles.
- Example 2
Applying the gravity model
City A has 2 million people. City B has 1 million and is 100 km away. City C has 4 million and is 300 km away. Using interaction = (P₁ × P₂) ÷ d², which city should interact more with City A?
Show the solutionHide the solution
- Step 1: A and B: (2 × 1) ÷ 100² = 2 ÷ 10,000 = 0.0002.
- Step 2: A and C: (2 × 4) ÷ 300² = 8 ÷ 90,000 ≈ 0.000089.
- Step 3: Compare: 0.0002 ÷ 0.000089 = 2.25, so the A–B link is about 2.25 times stronger, even though C is bigger.
Answer: City B. Because distance is squared, being three times as far away cuts C's interaction to one-ninth, which outweighs C's larger population.
Common mistakes
- Calling any big capital a primate city. It must be more than twice the size of the next city and dominate the country.
- Mixing up range and threshold. Range is distance people will travel; threshold is the number of customers needed.
- Forgetting the gravity model squares distance in its common form, which makes distance matter a lot.
On the exam
- Expect data on a country's city sizes. Decide whether it fits rank-size or has a primate city, and show the numbers that prove it.
- When applying central place theory, use low-order and high-order goods with real examples, and give a limitation of its assumptions.
Connected topics
Videos
Check yourself
5 questions on 6.4 The Size and Distribution of Cities. Pick an answer to see if you got it, and why.
| Rank | Country X city population (millions) | Country Y city population (millions) |
|---|---|---|
| 1 | 12.0 | 12.0 |
| 2 | 6.1 | 1.9 |
| 3 | 4.0 | 1.2 |
| 4 | 2.9 | 1.0 |
| 5 | 2.5 | 0.8 |
Hypothetical data
Which statement best describes the data?
According to the rank-size rule, the fourth-largest city in Country X would be expected to have a population of about
A pattern like Country Y's is most often associated with
A region has many small towns, each with a gas station and a convenience store. Fewer, larger towns each have a supermarket and a dentist. Only one city in the region has a major hospital, a university and a concert arena.
Description of a hypothetical region
The pattern described is best explained by which theory?
Concert arenas are found only in the region's largest city mainly because they have a
0 of 5 answered