Urban centres are numerous, and these vary in their size, functions, location and in their social composition, culture and heritage too. It is therefore worthwhile to classify towns into categories for better understanding about their role .
The problem of classifying urban centres is not an easy task. This is because of several reasons. First, the number is too large to handle on some viable grounds. The size of towns has a wide span ranging between 5,000 to 10,000,000, and this might not characterize town’s personality by breaking these into subjective or arbitrary classes. Tier classification system of Indian Cities is an example.
Second, the towns have a long historical background and have been under various regimes dating back thousands of years from the birth of Christ to the present era of democratic set-up. Finally, the data about functions and economy of Indian cities have not yet been standardised because of the absence of a suitable urban agency to deal with these.
There may be several methods, ways and means to classify urban centres. Site and situation of towns, population, size and functions, their social and cultural environment, etc., are some of the recognized bases to put them into groups. Out of all the bases of classification, the variable of ‘function of a town’ is widely accepted and reliable too. ‘Reliable’ in the sense that town itself is defined as an unit characterized by non-agricultural activities.One of the bases is Origin and Stage of Evolution of Urban Systems.
C. D. Harris (1943) introduced one of the first quantitative functional classifications of cities in his paper “A Functional Classification of Cities in the United States.” He analyzed 984 cities (with populations > 10,000) using 1930 U.S. Census employment and occupational data, to determine the dominant economic function of each urban center.
- Basis of Classification
Harris used employment and occupation statistics to measure each city’s specialisation. A town was grouped into the category in which it showed the highest percentage of workforce participation. - Functional Categories (Nine Types)
Harris recognized nine principal types of towns :- Manufacturing (M/M′): Cities with ≥ 60–74 % (M) or ≥ 74 % (M′) of total workers engaged in manufacturing industry.
- Retail Trade (R): At least 50 % of the working population in retail activities, with retail workers ≥ 2.2 times that of wholesale workers.
- Wholesale Trade (W): 20 % or more of total workforce in wholesaling activities.
- Diversified (D): Around 60 % engaged in manufacturing and 20 % in wholesale trade, plus a significant share in retailing.
- Transportation and Communications (T): Minimum 11 % of workforce employed in transport and communication services.
- Mining (S): At least 15 % of the population working in mining industries.
- Educational or University Town (E): 25 % or more workers employed in universities, colleges, and other educational institutions.
- Resort or Retirement (X): Large proportion of the population engaged in tourism, recreation, or seasonal services.
- Miscellaneous/Other (P): Cities that did not fit well into other categories.
- Methodology (Cut‑off Points)
Harris set cut‑off percentages for assigning dominance to each category. For example: - Functional Unit of Analysis
Harris used metropolitan districts (not just municipal boundaries) as his analytical unit because occupational data were available for those units only. - Limitations
Summary Table
| Category | Code | Criterion (approx.) | Key Feature |
|---|---|---|---|
| Manufacturing | M/M′ | M: 60–74 %; M′: ≥ 74 % industrial workers | Industrial concentration |
| Retailing | R | ≥ 50 % in retail; retail ≥ 2.2× wholesale | Consumer trade |
| Wholesaling | W | ≥ 20 % in wholesale | Distribution hub |
| Diversified | D | ~ 60 % manufacturing, 20 % wholesale | Mixed economic base |
| Transport & Communication | T | ≥ 11 % | Logistics and mobility |
| Mining | S | ≥ 15 % | Extraction industries |
| Educational | E | ≥ 25 % in education | Academic specialization |
| Resort/Retirement | X | High tourism or leisure employment | Seasonal economy |
| Miscellaneous | P | — | No dominant function |
Harris’s framework marked the first rigorous attempt at quantitative functional city classification, establishing the foundation later refined statistically by C. Howard Nelson (1955).
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