Mesebetsi Labour Force Survey 1999-2000

South Africa, 1999 - 2000

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Reference ID

zaf-fafo-mlfs-1999-2000-v1

Producer(s)

Norwegian Institute for Applied Social Science (Fafo), South African Department of Labour

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Southern Africa Labour and Development Research Unit

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Feb 11, 2013

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Apr 23, 2020

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province, district (ai1)

Data file: Mesebetsi LFS1999-2000 Admin_v1

Overview

Valid: 50949

Invalid: 0

Type: Discrete

Decimal: 0

loc_start_pos: 90

loc_end_pos: 92

Width: 3

Range: 101 - 931

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
101	bellville	89	0.2%
102	goodwood	114	0.2%
103	cape	114	0.2%
104	simonstown	126	0.2%
105	wynberg	589	1.2%
106	mitchellsplain	519	1%
107	kuilsrivier	175	0.3%
108	paarl	186	0.4%
109	stellenbosch	65	0.1%
111	strand	46	0.1%
114	caledon	84	0.2%
116	heidelberg	33	0.1%
118	george	322	0.6%
119	knysna	34	0.1%
120	mosselbay	36	0.1%
124	oudtshoorn	57	0.1%
127	montagu	62	0.1%
128	robertson	54	0.1%
130	worcester	383	0.8%
132	malmesbury	86	0.2%
133	piketberg	35	0.1%
134	vredenburg	53	0.1%
136	clanwilliam	35	0.1%
137	van rhynsdorp	33	0.1%
139	beaufortwest	54	0.1%
203	lady grey	53	0.1%
210	maclear	37	0.1%
215	queenstown	98	0.2%
217	stutterheim	64	0.1%
219	east london	395	0.8%
221	albany	134	0.3%
224	bathurst	64	0.1%
226	fort beaufort	57	0.1%
227	somerset east	66	0.1%
229	cradock	47	0.1%
230	middelburg	78	0.2%
237	hankey	102	0.2%
238	humansdorp	53	0.1%
240	port elizabeth	810	1.6%
241	uitenhage	330	0.6%
242	mdantsane	196	0.4%
243	zwelitsha	293	0.6%
244	hewu	198	0.4%
245	keiskammahoek	116	0.2%
246	mpofu	61	0.1%
247	victoria east	56	0.1%
248	middeldrift	53	0.1%
249	peddie	51	0.1%
250	bizana	339	0.7%
251	butterworth	148	0.3%
252	elliotdale	106	0.2%
253	engcobo	282	0.6%
254	flagstaff	185	0.4%
255	idutywa	121	0.2%
256	kentani	249	0.5%
257	libode	211	0.4%
258	lusikisiki	715	1.4%
259	maluti	126	0.2%
260	mt ayliff	207	0.4%
261	mt fletcher	226	0.4%
262	mt frere	247	0.5%
263	mqanduli	131	0.3%
264	ngqueleni	108	0.2%
265	nqamakwe	336	0.7%
266	port st johns	61	0.1%
267	qumbu	191	0.4%
268	cofimvaba	273	0.5%
269	tabankulu	292	0.6%
270	tsolo	98	0.2%
271	tsomo	237	0.5%
272	umtata	314	0.6%
273	willowvale	227	0.4%
274	cala	61	0.1%
275	lady frere	110	0.2%
276	sterkspruit	318	0.6%
277	umzimkulu	268	0.5%
301	namakwaland	124	0.2%
306	prieska	40	0.1%
314	richmond	73	0.1%
315	gordonia	108	0.2%
317	barkley-west	99	0.2%
319	herbert	47	0.1%
321	kimberley	411	0.8%
323	postmasburg	57	0.1%
325	fraserburg	31	0.1%
401	boshof	54	0.1%
406	odendaalsrus	126	0.2%
407	virginia	88	0.2%
408	welkom	247	0.5%
409	bothaville	49	0.1%
410	bultfontein	110	0.2%
411	heilbron	107	0.2%
415	kroonstad	178	0.3%
416	parys	42	0.1%
417	theunissen	35	0.1%
418	ventersburg	75	0.1%
421	wesselsbron	40	0.1%
422	bethlehem	54	0.1%
425	frankfort	43	0.1%
427	lindley	199	0.4%
428	reitz	90	0.2%
429	senekal	51	0.1%
430	vrede	123	0.2%
432	clocolan	47	0.1%
433	dewetsdorp	49	0.1%
435	excelsior	53	0.1%
443	winburg	37	0.1%
444	botshabelo	180	0.4%
445	bloemfontein	214	0.4%
446	smithfield	44	0.1%
449	zastron	35	0.1%
450	sasolburg	11	0%
451	thaba nchu	40	0.1%
452	witsieshoek	449	0.9%
501	durban	502	1%
502	inanda	1448	2.8%
503	pinetown	408	0.8%
504	chatsworth	99	0.2%
505	camperdown	167	0.3%
506	richmond	57	0.1%
507	pietermaritzburg	256	0.5%
508	umzinto	149	0.3%
509	ixopo	265	0.5%
510	alfred	61	0.1%
511	port shepstone	272	0.5%
512	mount currie	93	0.2%
513	underberg	26	0.1%
514	polela	215	0.4%
515	impendle	136	0.3%
516	kranskop	66	0.1%
517	lions river	157	0.3%
518	new hanover	54	0.1%
519	mooi river	18	0%
520	umvoti	187	0.4%
521	bergville	39	0.1%
522	escourt	298	0.6%
523	klipriver	333	0.7%
525	dannhauser	56	0.1%
526	dundee	55	0.1%
528	newcastle	255	0.5%
533	vryheid	89	0.2%
534	eshowe	35	0.1%
535	hlabisa	219	0.4%
536	lower umfolozi	481	0.9%
538	mtunzini	77	0.2%
539	ubombo	116	0.2%
540	lower tugela	68	0.1%
541	umbumbulu	262	0.5%
542	umlazi	442	0.9%
543	ndwendwe	214	0.4%
544	mapumulo	52	0.1%
545	nkandla	156	0.3%
546	nqutu	263	0.5%
547	msinga	287	0.6%
548	mahlabathini	115	0.2%
549	nongoma	94	0.2%
550	ingwavuma	109	0.2%
551	simdlangentsha	115	0.2%
601	huhudi	108	0.2%
602	kudumane	178	0.3%
603	vryburg	136	0.3%
604	phokwani	238	0.5%
605	mmabatho	336	0.7%
606	madikwe	108	0.2%
607	lichtenburg	277	0.5%
608	delareyville	503	1%
609	schweizer-renecke	120	0.2%
610	wolmaransstad	187	0.4%
612	klerksdorp	214	0.4%
613	ventersdorp	66	0.1%
614	potchefstroom	417	0.8%
615	mankwe	264	0.5%
616	rustenburg	588	1.2%
617	brits	41	0.1%
618	ga rankuwa	502	1%
619	temba	622	1.2%
701	pretoria	730	1.4%
702	soshanguve	363	0.7%
703	wonderboom	207	0.4%
704	johannesburg	277	0.5%
705	randburg	455	0.9%
706	alberton	745	1.5%
707	benoni	690	1.4%
708	boksburg	355	0.7%
709	germiston	36	0.1%
710	kempton park	356	0.7%
711	brakpan	229	0.4%
712	heidelberg	42	0.1%
714	springs	314	0.6%
715	krugersdorp	487	1%
716	oberholzer	181	0.4%
717	randfontein	0	0%
718	roodepoort	190	0.4%
719	westonaria	249	0.5%
721	cullinan	242	0.5%
722	vereeniging	164	0.3%
723	vanderbijlpark	716	1.4%
724	soweto	1173	2.3%
801	amersfoort	11	0%
802	bethal	161	0.3%
803	carolina	80	0.2%
804	ermelo	231	0.5%
805	piet retief	58	0.1%
806	standerton	186	0.4%
808	wakkerstroom	144	0.3%
809	kriel	46	0.1%
810	balfour	65	0.1%
811	hoeveldrif	313	0.6%
812	delmas	53	0.1%
814	groblersdal	176	0.3%
817	witbank	339	0.7%
818	moutse	290	0.6%
819	barberton	85	0.2%
821	nelspruit	31	0.1%
822	pelgrimsrust	32	0.1%
824	eerstehoek	221	0.4%
825	nkomazi	495	1%
826	nsikazi	524	1%
827	mdutjana	81	0.2%
828	mkobola	339	0.7%
829	mbibana	64	0.1%
830	kwamhlanga	221	0.4%
831	moretele	89	0.2%
902	messina	93	0.2%
904	pietersburg	100	0.2%
905	soutpansberg	33	0.1%
906	potgietersrus	76	0.1%
907	waterberg	28	0.1%
908	ellisras	63	0.1%
909	thabazimbi	11	0%
911	malamulela	413	0.8%
912	hlanganani	58	0.1%
914	mhala	615	1.2%
915	ritavi	215	0.4%
916	giyani	300	0.6%
918	bolobedu	505	1%
919	sekgosese	185	0.4%
920	bochum	252	0.5%
921	mokerong	598	1.2%
922	seshego	478	0.9%
923	thabamoopo	608	1.2%
924	nebo	460	0.9%
925	sekhukhuneland	739	1.5%
926	naphuno	227	0.4%
927	mapulaneng	463	0.9%
928	dzanani	371	0.7%
929	mutali	63	0.1%
930	thohoyandou	590	1.2%
931	vuwani	255	0.5%

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

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