A country's leading city is
always disproportionately large and exceptionally expressive of national
capacity and feeling. The primate city is commonly at least twice as large as
the next largest city and more than twice as significant. - Mark Jefferson, 1939
Geographer Mark Jefferson
developed the law of the primate city to explain the phenomenon of huge cities
that capture such a large proportion of a country's population as well as its
economic activity. These primate cities are often, but not always, the capital
cities of a country. An excellent example of a primate city is Paris, which
truly represents and serves as the focus of France.
They dominate the country in influence and are the national focal-point.
Their sheer size and activity becomes a strong pull factor, bringing additional
residents to the city and causing the primate city to become even larger and
more disproportional to smaller cities in the country. However, not every
country has a primate city, as you'll see from the list below.
Some scholars define a primate city as one that is larger than the
combined populations of the second and third ranked cities in a country. This
definition does not represent true primacy, however, as the size of the first
ranked city is not disproportionate to the second.
The law can be applied to smaller regions as well. For example,
California's primate city is Los Angeles, with a metropolitan area population
of 14.5 million, which is more than double the San Francisco metropolitan area
of 6.3 million. Even counties can be examined with regard to the Law of the
Primate City.
Examples of Countries With
Primate Cities
Examples
of Countries that Lack Primate Cities
Rank-Size
Rule
In 1949, George Zipf devised his theory of rank-size rule to
explain the size cities in a country. He explained that the second and
subsequently smaller cities should represent a proportion of the largest city.
For example, if the largest city in a country contained one million citizens,
Zipf stated that the second city would contain 1/2 as many as the first, or
500,000. The third would contain 1/3 or 333,333, the fourth would house 1/4 or
250,000, and so on, with the rank of the city representing the denominator in the
fraction.
While some countries' urban hierarchy somewhat fits into Zipf's
scheme, later geographers argued that his model should be seen as a probability
model and that deviations are to be expected.