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Sastatistics2011.Pdf S o u t h A f r i c a n s t a t i s t i c s thili twee tharodrie nevier tee pedi tharo four een kubili ntathu kunenna one mbili two three mune nne nngwee pedi pedi kuthatu nne vier nye tharo nwe mbini four ne gunye raru nne nna inye gubili nharhu kune 1kunye 2pediimbili 3guthato 4mune nngwee mbirhi ithathu nne 2011 your leading partner in quality statistics South African Statistics, 2011 Pali Lehohla Statistician-General Statistics South Africa 2011 Published by Statistics South Africa, Private Bag X44, Pretoria 0001 © Statistics South Africa, 2011 Data from this publication may be reproduced, applied or processed, provided Statistics South Africa (Stats SA) is acknowledged as the original source of the data; that it is specified that the application and/or analysis is the result of the user's independent processing of the data; and that neither the basic data nor any reprocessed version or application thereof may be sold or offered for sale in any form whatsoever without the prior permission of Stats SA. Stats SA Library Cataloguing-in-Publication (CIP) Data South African Statistics 2009 / Statistics South Africa. Pretoria: Statistics South Africa, 2011 1 vol. (various paging) Previous title: South African Statistics 1995 = Suid-Afrikaanse Statistieke 1995 Title continues in English only ISBN: 978-0-621-40159-2 1. Population – Statistics 2. Tourist trade 3. Vital statistics 4. Education – South Africa – Statistics 5. Labour – Statistics 6. Prices 7. South Africa – Industries – Statistics 8. Commercial statistics 9. Transportation, Automotive 10. Finance, Public 11. National income – Accounting I. South Africa. Statistics South Africa (LCSH 16) A complete set of Stats SA publications is available at Stats SA Library and the following libraries: National Library of South Africa, Pretoria Division National Library of South Africa, Cape Town Division Library of Parliament, Cape Town Bloemfontein Public Library Natal Society Library, Pietermaritzburg Johannesburg Public Library Eastern Cape Library Services, King William's Town Central Regional Library, Polokwane (Pietersburg) Central Reference Library, Nelspruit Central Reference Collection, Kimberley Central Reference Library, Mmabatho This publication is available on the Stats SA website: www.statssa.gov.za Copies are obtainable from: Printing and Distribution, Statistics South Africa Tel: (012) 310 8619 (012) 310 8161 Fax: (012) 321 7381 Email: [email protected] i Preface In publishing the twenty-fifth edition of South African Statistics, Statistics South Africa (Stats SA) continues a tradition of making available in a single volume, comprehensive time series statistical data on important facets of South African life. Data brought together in this edition are drawn only from Stats SA's data sources. Stats SA data are mainly published as statistical releases and reports. This publication contains longer time series that date as far back as 1935. We have updated data for the 2010 and 2011 period. However, data for this period that have not been released by end of August 2011, have not been incorporated in this edition. Where 2010 or 2011 figures were not available, the most recent data are provided. I encourage you to continue giving us feedback on this publication in order for us to improve and meet your statistical needs. Pali Lehohla Statistician-General ii Extract from the Report of the Census Subcommittee to the South African Statistics Council on Census 2001 Preliminary investigations indicate that the 2001 census probably resulted in: •an underestimate of the number of children below age five;¹ •an overestimate of the number of teenagers aged between 10 and 20; •an underestimate of the number of men relative to the number of women;¹ •an underestimate of the number in the white population; • higher than expected numbers aged 80 and older, in the African population; •an underestimate of the number of foreign-born, since some identified themselves incorrectly as being South African-born; • age misstatement in the range 60– 74; •an overestimate of the extent of unemployment; •an underestimate of those who were employed for only a few hours per week; •an underestimate of household income; and •an overestimate of the number of paternal orphans and the number of fathers missing from the household. In addition: • Scanning problems caused some births to be recorded in the wrong province. The number of cases is relatively small and should not lead to too much distortion for most purposes for which these data are used; however, it does produce obviously erroneous results when one tries to estimate the extent of inter-provincial migration of those born since the previous census. • The fertility data (numbers of children ever born, children surviving) are problematic. For further details of these investigations see the full report of the Census Subcommittee. Tables comparing Census data For Census 2001, imputation was used to allocate values for unavailable, unknown, incorrect or inconsistent responses, to other categories. 'Undetermined' values were used for only a few variables in a few cases (such as industry and occupation). For Census '96, all such values were grouped as 'Other' or 'Unspecified'. ¹ This is a common feature of censuses, particularly in developing countries. iii Abbreviations and symbols Abbreviations used South Africa: former and current provinces SA South Africa EC Eastern Cape MP Mpumalanga C Cape FS Free State NC Northern Cape N Natal GP Gauteng NW North West OFS Orange Free State KZN KwaZulu-Natal WC Western Cape T Transvaal LP Limpopo (previously known as Northern Province) Units of measurements mm – millimetre g – gram c – cent(s) kg – kilogram cm – centimetre t – ton (1 000kg) m – metre kW – kilowatt km – kilometre MW – megawatt ha – hectare Gwh – gigawatt hour ml – millilitre kWh – kilowatt hour m2 – square metre Mwh – megawatt hour m3 – cubic metre General (in alphabetical order) col – column CPD – Corporation for Public Deposits e.g. – for example Eskom – Electricity Supply Commission F – female fig. – figure FM – frequency modulation f.o.b. – free on board f.o.r. – free on rail GDP – Gross Domestic Product i.e. – that is incl. – including IMF – International Monetary Fund ISIC – International Standard Industrial Classification M – male NAAMSA – National Association of Automobile Manufacturers of South Africa N – number (agricultural tables) n.e.c. – not elsewhere classified n.e.s. – not elsewhere specified n.i.e. – not included elsewhere No. – number O – public ownership P – private ownership PES – post-enumeration survey PIC – Public Investment Commissioner pkt. – packet PMG – Paymaster-General R/D – refer to drawer SADC – South African Development Community SITC – Standard International Trade Classification SDR – Special drawing rights iv T – total TB – Tuberculosis UK – United Kingdom UN – United Nations USA – United States of America w.e.f. – with effect from symbols used .. = Data not available 0 or 0,0 = More than nothing but less than half the final digit shown A blank space = Data not yet available - = Nil or not applicable ––––– = A line drawn under a column of figures, indicates an interruption in the comparability of the series -=A minus sign before a figure, denotes 'less than'; -15 means less than 15 +=A plus sign after a figure, denotes ' and over'; 50+ means 50 and over a=As a result of accountably low numbers of recorded births during January and February, the related rates as well as the natural increase for 1997, were calculated on an adjusted number of births and are indicated with an 'a' * = Revised since previous edition(s) † = For values of 10 000 or less the sample size is too small for reliable estimates Limpopo is the new name for the province previously known as Northern Province, and the capital city of Limpopo is now Polokwane (previously Pietersburg). Rounding-off Figures are rounded off independently of one another; details, therefore, may not necessarily add to the total shown. thili twee tharodrie nevier tee pedi tharo four een kubili ntathu kunenna one mbili two three mune nne nngwee pedi pedi kuthatu nne vier nye tharo nwe mbini four ne gunye raru nne nna inye gubili nharhu kune kunye pediimbili guthato mune 1nngwee 234mbirhi ithathu nne Contents One Land area of South Africa Two Population Three Vital statistics Four Tourism Five Documented migration Six Labour Seven Prices Eight Mining Nine Manufacturing Ten Construction Eleven Electricity, gas and steam Twelve Internal trade Thirteen Transport Fourteen Public finance Fifteen National accounts thili twee tharodrie nevier tee pedi tharo four een kubili ntathu kunenna one mbili two three mune nne nngwee pedi pedi kuthatu nne vier nye tharo nwe mbini four ne gunye raru nne nna inye gubili nharhu kune kunye pediimbili guthato mune 1nngwee 234mbirhi ithathu nne 1 Land area of South Africa 1.1 Land area per province, 2010 1.1 1.2 Municipality names and codes by province, 2010 1.2 Maps Fig. 1.1 – land area per province, 2010 1.1 Fig. 1.2 – Municipalities of South Africa, 2010 1.9 one 1.1 LAND AREA OF SOUTH AFRICA 1.1 Land area per province, 2010 Province Area (Km2) Eastern Cape 168 966 Free State 129 825 Gauteng 16 548 KwaZulu-Natal 94 361 Limpopo 125 755 Mpumalanga 76 495 North West 106 512 Northern Cape 372 889 Western Cape 129 462 South Africa 1 220 813 Source: Municipal Demarcation Board (MDB) Figure 1.1 – Land area per province, 2010 Source: Stats SA, Geography Division 1.2 LAND AREA OF SOUTH AFRICA 1.2 Municipality names and codes by province, 2010
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