History in the new South Africa: an introduction - Det danske ...
History in the new South Africa: an introduction - Det danske ...
History in the new South Africa: an introduction - Det danske ...
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KwaZulu-Natal 39.5 39.3 Down 0.2%<br />
Mpumal<strong>an</strong>ga 37.1 37.2 Up 0.1%<br />
North West 33 38 Up 5.0%<br />
Free State 31.5 32.8 Up 1.3%<br />
Nor<strong>the</strong>rn Cape 24.3 24.3 No ch<strong>an</strong>ge<br />
Gauteng 20.1 20.8 Up 0.7%<br />
Western Cape 14.6 16.7 Up 2.1%<br />
Table 3: Poverty by prov<strong>in</strong>ce 1996 <strong>an</strong>d 2001<br />
Poverty levels also rose, though less steeply, <strong>in</strong> <strong>the</strong> wealthiest <strong>an</strong>d most urb<strong>an</strong>ised<br />
prov<strong>in</strong>ces of Gauteng (up by 0.7%) <strong>an</strong>d Western Cape (2.1%). In <strong>the</strong> latter two cases<br />
poverty was also <strong>in</strong>fluenced by <strong>in</strong>-migration from o<strong>the</strong>r prov<strong>in</strong>ces. For example, <strong>the</strong><br />
2001 census enumerated 8.8 million people <strong>in</strong> Gauteng, almost a fifth of <strong>South</strong> <strong>Africa</strong>’s<br />
total population of 44.8 million, <strong>an</strong>d show<strong>in</strong>g <strong>the</strong> largest <strong>in</strong>crease <strong>in</strong> population of all<br />
prov<strong>in</strong>ces s<strong>in</strong>ce <strong>the</strong> 1996 census. Relative to o<strong>the</strong>r prov<strong>in</strong>ces, Gauteng grew by 1.6% to<br />
<strong>in</strong>clude a fifth (19.7%) of <strong>the</strong> national population.<br />
It is also import<strong>an</strong>t to note <strong>the</strong> startl<strong>in</strong>g differences <strong>in</strong> poverty levels – for both 1996 <strong>an</strong>d<br />
2001 – between <strong>the</strong> wealthiest <strong>an</strong>d poorest prov<strong>in</strong>ces <strong>in</strong> <strong>South</strong> <strong>Africa</strong>. For example, <strong>in</strong><br />
1996 poverty <strong>in</strong> Limpopo was more th<strong>an</strong> 3 times higher th<strong>an</strong> <strong>in</strong> <strong>the</strong> Western Cape. In<br />
2001, poverty levels <strong>in</strong> <strong>the</strong> Western Cape were less th<strong>an</strong> half those <strong>in</strong> Mpumal<strong>an</strong>ga <strong>an</strong>d<br />
just more th<strong>an</strong> a third of those <strong>in</strong> <strong>the</strong> Eastern Cape. Relative poverty <strong>an</strong>d <strong>in</strong>equality are<br />
starkly apparent rem<strong>in</strong>ders of our past; <strong>an</strong>d of <strong>the</strong> imperatives that need to shape our<br />
future.<br />
Poverty seemed to be dropp<strong>in</strong>g or steady<strong>in</strong>g <strong>in</strong> <strong>the</strong> 3 poorest prov<strong>in</strong>ces, rema<strong>in</strong><strong>in</strong>g steady<br />
<strong>in</strong> a couple more while ris<strong>in</strong>g more or less steeply <strong>in</strong> <strong>the</strong> rema<strong>in</strong>der. The expectation is<br />
that target<strong>in</strong>g <strong>in</strong> <strong>the</strong> ISRDP <strong>an</strong>d URP have accounted for <strong>the</strong>se trends, which were<br />
occurr<strong>in</strong>g before ei<strong>the</strong>r programme beg<strong>an</strong> to be implemented, <strong>an</strong>d which dem<strong>an</strong>d more<br />
careful resource allocation decisions th<strong>an</strong> merely target<strong>in</strong>g <strong>the</strong> 3 poorest prov<strong>in</strong>ces. The<br />
same applies to <strong>in</strong>dividual government departments: are resource allocation decisions<br />
with<strong>in</strong> <strong>the</strong> ISRDP <strong>an</strong>d URP reflect<strong>in</strong>g <strong>the</strong> ch<strong>an</strong>g<strong>in</strong>g patterns of poverty, or is it still <strong>the</strong><br />
case of <strong>the</strong> bulk of resources go<strong>in</strong>g to <strong>the</strong> 3 poorest <strong>an</strong>d <strong>the</strong> rema<strong>in</strong>der fight over what is<br />
left?<br />
Poverty <strong>in</strong>dicators <strong>in</strong> nodes <strong>an</strong>d prov<strong>in</strong>ces<br />
In Table 4 <strong>the</strong> 1996 <strong>an</strong>d 2001 poverty scores for each node are set out. In some of <strong>the</strong><br />
URP nodes (marked with *), demarcation made extract<strong>in</strong>g data for <strong>the</strong> node particularly<br />
complex <strong>an</strong>d <strong>the</strong> data should be treated with circumspection for 1996; <strong>the</strong> 2001 figures<br />
are accurate. In<strong>an</strong>da, for example, is <strong>an</strong> extremely poor urb<strong>an</strong> node; but extract<strong>in</strong>g<br />
locale-specific data from Census 1996 proved very challeng<strong>in</strong>g; <strong>an</strong>d thus <strong>the</strong> % ch<strong>an</strong>ge<br />
<strong>in</strong> poverty levels <strong>in</strong> In<strong>an</strong>da should be treated with caution.<br />
Node 1996 2001 % ch<strong>an</strong>ge<br />
ISRDP<br />
OR Tambo 65.4 64.3 Down 1.1%<br />
Umkh<strong>an</strong>yakude 63.8 60.6 Down 3.2%<br />
Alfred Nzo 63.5 65.6 Up 2.1%<br />
Umz<strong>in</strong>yathi 59.7 58.3 Down 1.4%<br />
39