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.