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Volume II - The Northern Cape Provincial Spatial Development ...

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Kimberley, Pampierstad, Kathu, Upington, Groblershoop, Orania and Springbok). In<br />

terms of the Infrastructure theme the larger established centres achieved the highest<br />

ratings (i.e. Kimberley, Upington, Calvinia, Colesberg and De Aar). With repect to<br />

Economic Activities, the same pattern is reflected in the larger centres, where a self-<br />

generating economy of scale is in operation (i.e. Kimberley, Upington, Kuruman,<br />

Pampierstad, De Aar and Springbok). In this regard it is significant that towns like<br />

Ritchie, Hartswater and Jan Kempdorp, with its irrigation-agricultural economic base,<br />

performed very competitively. ∗<br />

• At a generalised level Table 3.8 and Figures 3.10–3.14 present the municipalities with<br />

good and poor development performance and municipalities with high and low human<br />

needs. In Figure 3.10 and Table 4.6b only six municipalities are rated High and Very High<br />

on the <strong>Development</strong> Potential scale.<br />

• As expected, the latter municipalities usually also accommodate the better-off<br />

<strong>Development</strong> Potential towns. While eight of the towns with High and Very High<br />

development potential are located in municipalities with equal development potential<br />

ratings, 82 of the Medium and Low <strong>Development</strong> Potential towns are located in<br />

municipalities with the same lower order status (Table 4.8).<br />

• On the other hand, the co-incidence of towns and municipalities with the same Human<br />

Need level is not so clear cut, i.e. 16 towns with Medium/Low/Very Low ratings are<br />

situated in municipalities with High Needs levels (Table 4.9). Eleven municipalities<br />

display High and Very High Needs scores. From Figure 3.18 it appears that the location of<br />

better-off towns and municipalities do not co-incide very well – an indication that poverty<br />

showes up throughout the province. Naturally, there are many exceptions to this broad<br />

generalisation patterns which should be explained for individual cases.<br />

Table 4.8 Cross-tabulation of Town and Municipality <strong>Development</strong> classes<br />

Town<br />

<strong>Development</strong><br />

Municipality <strong>Development</strong> Class<br />

Class<br />

Low Medium High Very High Total<br />

Low 10 (45.4) 22 (31.9) 2 (9.1) 0 34 (29.6%)<br />

Medium 11 (50.0) 39 (56.5) 14 (63.6) 0 64 (55.7%)<br />

High 1 (4.6) 8 (11.6) 5 (22.7) 1 (50.0) 15 (13.0%)<br />

Very High 0 0 1 (4.6) 1 (50.0) 2 (1.7%)<br />

Total 22 (100.0%) 69 (100.0%) 22 (100.0%) 2 (100.0%) 115 (100.0%)<br />

∗ It should be pointed out that by using relative measures such as percentages and z-scores instead of absolute<br />

numbers as input for the calculation of indices, afforded smaller centres an equal opportunity to perform against<br />

the bigger centres.<br />

89

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