World Health Survey 2003, Wave 0
South Africa, 2003
Get Microdata
Reference ID
ZAF_2003_WHS_v01_M
Producer(s)
World Health Organization (WHO)
Collection(s)
Created on
Oct 17, 2013
Last modified
Oct 17, 2013
Page views
38041
Downloads
22
Name (q6500)
Data file: WHS-SouthAfrica_F5
Overview
Valid:
601
Invalid:
0
Type:
Discrete
Start:
1521
End:
1558
Width:
38
Range:
-
Format:
character
Questions and instructions
Literal question
Can you please tell me the name, the sex, and the date of birth of the youngest child living in this household.
Categories
| Value | Category | Cases | |
|---|---|---|---|
| A KLEINBOOI | 1 |
0.2%
|
|
| ABONGIWE ZONDO | 1 |
0.2%
|
|
| AKHONA | 1 |
0.2%
|
|
| AKLEHANG | 1 |
0.2%
|
|
| ALDERE BARNARD | 1 |
0.2%
|
|
| ALICIA CORNELIU | 1 |
0.2%
|
|
| ALIYA | 1 |
0.2%
|
|
| AMAHLE | 1 |
0.2%
|
|
| AMAHLELI | 1 |
0.2%
|
|
| AMANDA | 1 |
0.2%
|
|
| AMBER | 2 |
0.3%
|
|
| AMOR | 1 |
0.2%
|
|
| ANDILE | 4 |
0.7%
|
|
| ANELE | 2 |
0.3%
|
|
| ANELISWA | 1 |
0.2%
|
|
| ANGEL | 1 |
0.2%
|
|
| ANISA MTAMBO | 1 |
0.2%
|
|
| ANNELIZE | 1 |
0.2%
|
|
| ANOVUYO | 1 |
0.2%
|
|
| ANTONICHA | 1 |
0.2%
|
|
| ANTONIO | 1 |
0.2%
|
|
| APHIWE | 1 |
0.2%
|
|
| APRIL RAMASOBAN | 1 |
0.2%
|
|
| ARIZELDA | 1 |
0.2%
|
|
| ARNO | 1 |
0.2%
|
|
| ASA | 1 |
0.2%
|
|
| ASIPHE | 1 |
0.2%
|
|
| AUGASTINE | 1 |
0.2%
|
|
| AUSTIN | 1 |
0.2%
|
|
| AVIWE | 1 |
0.2%
|
|
| AYABONGA | 2 |
0.3%
|
|
| AYANDA | 2 |
0.3%
|
|
| BABALO | 1 |
0.2%
|
|
| BABALWA | 1 |
0.2%
|
|
| BAHLE | 1 |
0.2%
|
|
| BALLUSAR | 1 |
0.2%
|
|
| BARNEY-ANN | 1 |
0.2%
|
|
| BATHANDA | 1 |
0.2%
|
|
| BEAUTY | 1 |
0.2%
|
|
| BEN | 1 |
0.2%
|
|
| BENEDINE AUG-01 | 1 |
0.2%
|
|
| BETTY ENJULIKE | 1 |
0.2%
|
|
| BHEKANI | 1 |
0.2%
|
|
| BOITUMELO | 1 |
0.2%
|
|
| BOKAMOSO | 1 |
0.2%
|
|
| BONANI | 1 |
0.2%
|
|
| BONGA | 1 |
0.2%
|
|
| BONGANI | 1 |
0.2%
|
|
| BONGEKA MAXASE | 1 |
0.2%
|
|
| BONGILE | 1 |
0.2%
|
|
| BONGO | 1 |
0.2%
|
|
| BONGO ROZANI | 1 |
0.2%
|
|
| BONGUMUSA | 1 |
0.2%
|
|
| BONISIWE | 1 |
0.2%
|
|
| BRAIN MKHIZE | 1 |
0.2%
|
|
| BRANDOLINE | 1 |
0.2%
|
|
| BRITNEY | 1 |
0.2%
|
|
| BRONWYN | 1 |
0.2%
|
|
| BRUCE | 1 |
0.2%
|
|
| BRYTON | 1 |
0.2%
|
|
| BUHLE | 1 |
0.2%
|
|
| BUKHO | 1 |
0.2%
|
|
| C G VAN WYK | 1 |
0.2%
|
|
| CAMAGU | 1 |
0.2%
|
|
| CAMERON | 1 |
0.2%
|
|
| CEBO | 1 |
0.2%
|
|
| CEBOKAZI HASHE | 1 |
0.2%
|
|
| CELINHLANHLA | 1 |
0.2%
|
|
| CELIWE | 1 |
0.2%
|
|
| CELO NGWENYA | 1 |
0.2%
|
|
| CHANBONY | 1 |
0.2%
|
|
| CHANTEL | 1 |
0.2%
|
|
| CHANTELLE | 1 |
0.2%
|
|
| CHARITY | 1 |
0.2%
|
|
| CHARMELA | 1 |
0.2%
|
|
| CHELSEA | 1 |
0.2%
|
|
| CHERYL | 1 |
0.2%
|
|
| CHUE CARMEN | 1 |
0.2%
|
|
| CLAUDIA | 1 |
0.2%
|
|
| CLIFF | 1 |
0.2%
|
|
| COLLEN | 1 |
0.2%
|
|
| CONSTANCIA | 1 |
0.2%
|
|
| COURTNEY | 1 |
0.2%
|
|
| CYNDY-ANN | 1 |
0.2%
|
|
| DAGLEN | 1 |
0.2%
|
|
| DANIEL | 1 |
0.2%
|
|
| DAPHNE | 1 |
0.2%
|
|
| DAVEN | 1 |
0.2%
|
|
| DAVID | 2 |
0.3%
|
|
| DEBBIE LEE | 1 |
0.2%
|
|
| DEHAN | 1 |
0.2%
|
|
| DEVALO | 1 |
0.2%
|
|
| DIANO | 1 |
0.2%
|
|
| DIEGO | 1 |
0.2%
|
|
| DIMPHO | 1 |
0.2%
|
|
| DINEO | 1 |
0.2%
|
|
| DIPUO | 1 |
0.2%
|
|
| DIPUO KHOSA | 1 |
0.2%
|
|
| DISEBO | 1 |
0.2%
|
|
| DOLLY | 2 |
0.3%
|
|
| DORAH | 1 |
0.2%
|
|
| DUMISANI | 1 |
0.2%
|
|
| DUNCAN | 1 |
0.2%
|
|
| DUWE | 1 |
0.2%
|
|
| EDHRICH | 1 |
0.2%
|
|
| EDNA | 1 |
0.2%
|
|
| EDWIN | 1 |
0.2%
|
|
| ELIZARA | 1 |
0.2%
|
|
| ELLIA | 1 |
0.2%
|
|
| ELMONIQUE | 1 |
0.2%
|
|
| EMAAN | 1 |
0.2%
|
|
| EMIL MARAIS | 1 |
0.2%
|
|
| EPHRAIM | 1 |
0.2%
|
|
| ESETHU SIKO | 1 |
0.2%
|
|
| EUAN | 1 |
0.2%
|
|
| EUGENE | 1 |
0.2%
|
|
| EUGENE ZAULA | 1 |
0.2%
|
|
| FANA DLAMINI | 1 |
0.2%
|
|
| FEZILE | 1 |
0.2%
|
|
| FIRDOSE BAWA | 1 |
0.2%
|
|
| FRANCOIS | 1 |
0.2%
|
|
| FRANS | 1 |
0.2%
|
|
| FREDDIE | 1 |
0.2%
|
|
| GAIWELIN | 1 |
0.2%
|
|
| GAOBOTSWE | 1 |
0.2%
|
|
| GENEVIEVE | 2 |
0.3%
|
|
| GEORGE BOCH | 1 |
0.2%
|
|
| GILLIAN | 1 |
0.2%
|
|
| GLAD | 1 |
0.2%
|
|
| GLADYS MOREKI | 1 |
0.2%
|
|
| GLENN | 1 |
0.2%
|
|
| GORDEN | 1 |
0.2%
|
|
| GRIER | 1 |
0.2%
|
|
| GRINTON | 1 |
0.2%
|
|
| GRIYETTEN | 1 |
0.2%
|
|
| GUGU | 2 |
0.3%
|
|
| HAPPINESS | 1 |
0.2%
|
|
| HAPPY | 1 |
0.2%
|
|
| HEINRICH | 1 |
0.2%
|
|
| HENRY PAULSE | 1 |
0.2%
|
|
| HESTIE | 1 |
0.2%
|
|
| HILTON WILLEMS | 1 |
0.2%
|
|
| HLOMBE | 1 |
0.2%
|
|
| HLONIPHANI | 1 |
0.2%
|
|
| HLUMELO | 1 |
0.2%
|
|
| HUSSAIN BHIKHOO | 1 |
0.2%
|
|
| I | 1 |
0.2%
|
|
| IMAAN | 1 |
0.2%
|
|
| INGA NOMASANA | 1 |
0.2%
|
|
| INNOCENT | 2 |
0.3%
|
|
| IRIS | 1 |
0.2%
|
|
| ISAAC | 2 |
0.3%
|
|
| ISAAK | 1 |
0.2%
|
|
| JABU | 1 |
0.2%
|
|
| JACKIE | 1 |
0.2%
|
|
| JACOB | 2 |
0.3%
|
|
| JADEN | 2 |
0.3%
|
|
| JAMIE | 1 |
0.2%
|
|
| JAN | 1 |
0.2%
|
|
| JANE | 1 |
0.2%
|
|
| JASON | 1 |
0.2%
|
|
| JAVDEN | 1 |
0.2%
|
|
| JAYDON | 1 |
0.2%
|
|
| JEANETTE | 1 |
0.2%
|
|
| JELSIE COETZEE | 1 |
0.2%
|
|
| JERMA | 1 |
0.2%
|
|
| JESSICA | 1 |
0.2%
|
|
| JODY VAN WYK | 1 |
0.2%
|
|
| JOHANNA | 1 |
0.2%
|
|
| JOHN | 4 |
0.7%
|
|
| JOHN-LEE | 1 |
0.2%
|
|
| JONNY NTULI | 1 |
0.2%
|
|
| JORDAN | 1 |
0.2%
|
|
| JOSLIN | 1 |
0.2%
|
|
| JUDITH | 1 |
0.2%
|
|
| JUSTINE | 1 |
0.2%
|
|
| KABELO | 1 |
0.2%
|
|
| KAGISO | 1 |
0.2%
|
|
| KAKRYN | 1 |
0.2%
|
|
| KAMOGELO | 1 |
0.2%
|
|
| KAMOHELO | 2 |
0.3%
|
|
| KAMVALETHU | 1 |
0.2%
|
|
| KANANELO | 1 |
0.2%
|
|
| KARABO | 1 |
0.2%
|
|
| KAREL | 1 |
0.2%
|
|
| KARNECTOO | 1 |
0.2%
|
|
| KATLEGO | 3 |
0.5%
|
|
| KATLEHO | 1 |
0.2%
|
|
| KAY | 1 |
0.2%
|
|
| KEDUMETSE | 1 |
0.2%
|
|
| KEEGAN | 1 |
0.2%
|
|
| KEEKAN | 1 |
0.2%
|
|
| KEKELETSO | 1 |
0.2%
|
|
| KENAN | 1 |
0.2%
|
|
| KGAUGELO | 1 |
0.2%
|
|
| KGOTSWANE | 1 |
0.2%
|
|
| KHAYALETHU | 2 |
0.3%
|
|
| KHODANI | 1 |
0.2%
|
|
| KIMBERLY | 1 |
0.2%
|
|
| KNOWLEDGE | 1 |
0.2%
|
|
| KOKETSO | 1 |
0.2%
|
|
| KUTULLO | 1 |
0.2%
|
|
| KWANELE | 1 |
0.2%
|
|
| KWAZI | 1 |
0.2%
|
|
| KWAZIKWAKHE NTS | 1 |
0.2%
|
|
| KYLA | 1 |
0.2%
|
|
| KYLA BOTHMA | 1 |
0.2%
|
|
| KYLE | 1 |
0.2%
|
|
| LANDI | 1 |
0.2%
|
|
| LEANE | 1 |
0.2%
|
|
| LEDIA | 1 |
0.2%
|
|
| LEE | 1 |
0.2%
|
|
| LEFA | 1 |
0.2%
|
|
| LEHLOHONOLO | 1 |
0.2%
|
|
| LENIEKA | 1 |
0.2%
|
|
| LERATO | 2 |
0.3%
|
|
| LESEGO | 3 |
0.5%
|
|
| LESLEY | 1 |
0.2%
|
|
| LETHUKUTHULA | 1 |
0.2%
|
|
| LETIA | 1 |
0.2%
|
|
| LETLHOGONOLO | 1 |
0.2%
|
|
| LEVHUWANE | 1 |
0.2%
|
|
| LIHLE | 1 |
0.2%
|
|
| LIHLE MCHUNU | 1 |
0.2%
|
|
| LILITHA | 1 |
0.2%
|
|
| LINATHI PANGALA | 1 |
0.2%
|
|
| LINDO | 1 |
0.2%
|
|
| LINKY | 1 |
0.2%
|
|
| LISA | 1 |
0.2%
|
|
| LISAKANYA | 1 |
0.2%
|
|
| LITALETU | 1 |
0.2%
|
|
| LIYEMA | 1 |
0.2%
|
|
| LIZANO | 1 |
0.2%
|
|
| LIZI MXHOSANA | 1 |
0.2%
|
|
| LOREE-ANN | 1 |
0.2%
|
|
| LORIAL | 1 |
0.2%
|
|
| LUCIA | 1 |
0.2%
|
|
| LUCINDA | 1 |
0.2%
|
|
| LUCKY | 1 |
0.2%
|
|
| LUKHANYO | 1 |
0.2%
|
|
| LUNGA | 1 |
0.2%
|
|
| LUNJE NGAWANA | 1 |
0.2%
|
|
| LUSANDA | 1 |
0.2%
|
|
| LUTHANDO | 1 |
0.2%
|
|
| LWAZI | 1 |
0.2%
|
|
| MADONA | 1 |
0.2%
|
|
| MAIRON | 1 |
0.2%
|
|
| MAKAMA | 1 |
0.2%
|
|
| MALEBO | 1 |
0.2%
|
|
| MALEFU | 1 |
0.2%
|
|
| MALETSATSI | 1 |
0.2%
|
|
| MALISA | 1 |
0.2%
|
|
| MALUVE | 1 |
0.2%
|
|
| MALWANDE MALWAN | 1 |
0.2%
|
|
| MANDISA | 1 |
0.2%
|
|
| MARCIA | 1 |
0.2%
|
|
| MARIA | 2 |
0.3%
|
|
| MARIUS | 1 |
0.2%
|
|
| MARLAN | 1 |
0.2%
|
|
| MARTIN | 1 |
0.2%
|
|
| MARY | 1 |
0.2%
|
|
| MASEGO | 1 |
0.2%
|
|
| MATEMU | 1 |
0.2%
|
|
| MATHABO | 1 |
0.2%
|
|
| MATLHOMOLA | 1 |
0.2%
|
|
| MATODZI MBEDZI | 1 |
0.2%
|
|
| MAVIS | 1 |
0.2%
|
|
| MAXWELL | 1 |
0.2%
|
|
| MBALI | 1 |
0.2%
|
|
| MBUSO | 1 |
0.2%
|
|
| MCKAYLA | 1 |
0.2%
|
|
| MDUDUZI | 1 |
0.2%
|
|
| MELISA | 1 |
0.2%
|
|
| MELISSA | 1 |
0.2%
|
|
| MICEDEUS | 1 |
0.2%
|
|
| MICHAEL | 1 |
0.2%
|
|
| MICHELLE | 2 |
0.3%
|
|
| MIHLA | 1 |
0.2%
|
|
| MIHLE | 1 |
0.2%
|
|
| MILA | 1 |
0.2%
|
|
| MJ | 1 |
0.2%
|
|
| MNQOBI | 1 |
0.2%
|
|
| MOELETSI | 1 |
0.2%
|
|
| MOHALE | 1 |
0.2%
|
|
| MOHAMED | 1 |
0.2%
|
|
| MOHAMMED | 1 |
0.2%
|
|
| MOHAU | 1 |
0.2%
|
|
| MOHLAO | 1 |
0.2%
|
|
| MONICA | 1 |
0.2%
|
|
| MONNYE | 1 |
0.2%
|
|
| MOSES | 1 |
0.2%
|
|
| MOTLALETSHEPO | 1 |
0.2%
|
|
| MOTSATSI | 1 |
0.2%
|
|
| MOTSEPIWA | 1 |
0.2%
|
|
| MPHAPANTSHI | 1 |
0.2%
|
|
| MPHO | 2 |
0.3%
|
|
| MPHO MOATSHE | 1 |
0.2%
|
|
| MTHOKOZISI XABA | 1 |
0.2%
|
|
| MUKATEKO | 1 |
0.2%
|
|
| MUSA | 1 |
0.2%
|
|
| MXOLISI NDWANDW | 1 |
0.2%
|
|
| NASLEY | 1 |
0.2%
|
|
| NAVEN | 1 |
0.2%
|
|
| NCAMI | 1 |
0.2%
|
|
| NDUDUZO | 1 |
0.2%
|
|
| NDUMISO | 1 |
0.2%
|
|
| NEIMA | 1 |
0.2%
|
|
| NELISIWE | 1 |
0.2%
|
|
| NELISWA SIBISI | 1 |
0.2%
|
|
| NEO | 1 |
0.2%
|
|
| NESLINE | 1 |
0.2%
|
|
| NESTUM | 1 |
0.2%
|
|
| NGCALI | 1 |
0.2%
|
|
| NGCEBO MDLALOSE | 1 |
0.2%
|
|
| NHLAMULO | 1 |
0.2%
|
|
| NIKEL | 1 |
0.2%
|
|
| NJABULO | 2 |
0.3%
|
|
| NKOSINATHI | 1 |
0.2%
|
|
| NOBILA KHOLVADI | 1 |
0.2%
|
|
| NOBUHLE | 1 |
0.2%
|
|
| NOKOSELELO | 1 |
0.2%
|
|
| NOKUBONGA | 1 |
0.2%
|
|
| NOKUPHILA | 1 |
0.2%
|
|
| NOKWANDA | 2 |
0.3%
|
|
| NOLWAZI | 1 |
0.2%
|
|
| NOMBUYISELO | 1 |
0.2%
|
|
| NOMCEBO | 1 |
0.2%
|
|
| NOMONDE | 2 |
0.3%
|
|
| NOMZAMO | 2 |
0.3%
|
|
| NONJABULO | 1 |
0.2%
|
|
| NONOPELA | 1 |
0.2%
|
|
| NONTLAHLA | 1 |
0.2%
|
|
| NONTOBEKO | 1 |
0.2%
|
|
| NONTOKOZO | 1 |
0.2%
|
|
| NONTUTHUZELO | 1 |
0.2%
|
|
| NONZUZO | 2 |
0.3%
|
|
| NOOI | 1 |
0.2%
|
|
| NOSILILO | 1 |
0.2%
|
|
| NOSIPHO | 2 |
0.3%
|
|
| NOTHANDO | 1 |
0.2%
|
|
| NOXOLO | 1 |
0.2%
|
|
| NOXOLO KUNENE | 1 |
0.2%
|
|
| NOZANDILE | 1 |
0.2%
|
|
| NOZIPHO | 1 |
0.2%
|
|
| NQOBA | 1 |
0.2%
|
|
| NQOBILE | 2 |
0.3%
|
|
| NQOBIZIZWE | 1 |
0.2%
|
|
| NTANDOKAZI | 1 |
0.2%
|
|
| NTANGANEDZENI | 1 |
0.2%
|
|
| NTEBALENG | 1 |
0.2%
|
|
| NTHLARI | 1 |
0.2%
|
|
| NTOKOZO | 3 |
0.5%
|
|
| NYIKO | 1 |
0.2%
|
|
| ODWA | 1 |
0.2%
|
|
| OFENTSE | 1 |
0.2%
|
|
| OLEBOGANG | 1 |
0.2%
|
|
| OLUHLE | 1 |
0.2%
|
|
| OLWETU | 1 |
0.2%
|
|
| OMPHEMETSE | 1 |
0.2%
|
|
| ONALENNA | 1 |
0.2%
|
|
| ONKE | 1 |
0.2%
|
|
| ONKGOPOTSE | 1 |
0.2%
|
|
| ONTHATILE | 1 |
0.2%
|
|
| ORATILE | 1 |
0.2%
|
|
| ORIEN | 1 |
0.2%
|
|
| OSIPHAYO | 1 |
0.2%
|
|
| PABALELO | 1 |
0.2%
|
|
| PALESA | 3 |
0.5%
|
|
| PATRICK MABULA | 1 |
0.2%
|
|
| PEARL | 2 |
0.3%
|
|
| PENELOPE | 1 |
0.2%
|
|
| PHABIAN | 1 |
0.2%
|
|
| PHANO | 1 |
0.2%
|
|
| PHELELANI | 1 |
0.2%
|
|
| PHINDILE | 1 |
0.2%
|
|
| PHOLOGO | 1 |
0.2%
|
|
| PHOZISA NTENGO | 1 |
0.2%
|
|
| PHUMULANI | 1 |
0.2%
|
|
| PIET | 1 |
0.2%
|
|
| PINKIE MAHLANGU | 1 |
0.2%
|
|
| PINKY | 1 |
0.2%
|
|
| POLENA | 1 |
0.2%
|
|
| PONTSHO | 2 |
0.3%
|
|
| PORTIA | 1 |
0.2%
|
|
| PORTICIA | 1 |
0.2%
|
|
| PRECIOUS | 1 |
0.2%
|
|
| PRINCESS | 1 |
0.2%
|
|
| PULE | 1 |
0.2%
|
|
| Q0401 | 1 |
0.2%
|
|
| Q0410 | 1 |
0.2%
|
|
| Q0411 | 2 |
0.3%
|
|
| Q0412 | 1 |
0.2%
|
|
| Q0413 | 2 |
0.3%
|
|
| QEDRAH | 1 |
0.2%
|
|
| RACKIE | 1 |
0.2%
|
|
| RAJIENCE | 1 |
0.2%
|
|
| RAYLENE | 1 |
0.2%
|
|
| REFILE | 1 |
0.2%
|
|
| REFILWE | 1 |
0.2%
|
|
| REGINEL | 1 |
0.2%
|
|
| REITUMETSE | 1 |
0.2%
|
|
| RESHOKETSOE | 1 |
0.2%
|
|
| RETHABILE | 1 |
0.2%
|
|
| RICHARD | 2 |
0.3%
|
|
| RICHARDIN | 1 |
0.2%
|
|
| RIVALDO | 1 |
0.2%
|
|
| ROGATOR | 1 |
0.2%
|
|
| ROSELINE | 1 |
0.2%
|
|
| RUAN LAUREN | 1 |
0.2%
|
|
| RUSSEL | 1 |
0.2%
|
|
| RYAN ETHAN | 1 |
0.2%
|
|
| SABELO | 1 |
0.2%
|
|
| SAMKELISIWE | 1 |
0.2%
|
|
| SAMUKELO | 1 |
0.2%
|
|
| SANDILE | 1 |
0.2%
|
|
| SANELE | 4 |
0.7%
|
|
| SANTYN | 1 |
0.2%
|
|
| SARAH | 1 |
0.2%
|
|
| SBONISILE | 1 |
0.2%
|
|
| SELINA RAMOTEBE | 1 |
0.2%
|
|
| SELLO | 1 |
0.2%
|
|
| SEMONE | 1 |
0.2%
|
|
| SENAMILE | 1 |
0.2%
|
|
| SENZEKILE | 1 |
0.2%
|
|
| SETH | 1 |
0.2%
|
|
| SFISO | 1 |
0.2%
|
|
| SHAANAZ | 1 |
0.2%
|
|
| SHANE | 1 |
0.2%
|
|
| SHARON LEE | 1 |
0.2%
|
|
| SHAUN | 1 |
0.2%
|
|
| SHILUKA | 1 |
0.2%
|
|
| SHORVANDREY | 1 |
0.2%
|
|
| SIBONGILE | 2 |
0.3%
|
|
| SIFISO | 1 |
0.2%
|
|
| SIFUNDO | 1 |
0.2%
|
|
| SIHLE | 4 |
0.7%
|
|
| SIMANKELE | 1 |
0.2%
|
|
| SIMON | 1 |
0.2%
|
|
| SIMONE | 1 |
0.2%
|
|
| SIMONYE | 1 |
0.2%
|
|
| SINESIMO | 1 |
0.2%
|
|
| SINOTHANDO | 1 |
0.2%
|
|
| SINOTHANDO NOTU | 1 |
0.2%
|
|
| SINOVUYO GALADE | 1 |
0.2%
|
|
| SIPHAMANDLA | 1 |
0.2%
|
|
| SIPHESIHLE | 2 |
0.3%
|
|
| SIPHO | 1 |
0.2%
|
|
| SIPHOKAZI | 1 |
0.2%
|
|
| SIPHOKUHLE | 1 |
0.2%
|
|
| SIPHOSETHU | 2 |
0.3%
|
|
| SISINYANA | 1 |
0.2%
|
|
| SISIPLO | 1 |
0.2%
|
|
| SITHEMBILE | 1 |
0.2%
|
|
| SITHOLENE | 1 |
0.2%
|
|
| SIVENATI | 1 |
0.2%
|
|
| SIYABONGA | 1 |
0.2%
|
|
| SIYANDA | 1 |
0.2%
|
|
| SIYASANDA | 1 |
0.2%
|
|
| SLONDIWE | 1 |
0.2%
|
|
| SLOYI | 1 |
0.2%
|
|
| SMANGA | 1 |
0.2%
|
|
| SMANGA DLAMINI | 1 |
0.2%
|
|
| SNOKUBONGA | 1 |
0.2%
|
|
| SOLOMON | 1 |
0.2%
|
|
| SOMAINA | 1 |
0.2%
|
|
| SOMANDLA | 1 |
0.2%
|
|
| SPHAMANDLA | 1 |
0.2%
|
|
| SPHE | 1 |
0.2%
|
|
| SPHELELE | 1 |
0.2%
|
|
| SPHESIHLE | 1 |
0.2%
|
|
| SPHETHELO | 1 |
0.2%
|
|
| SPHILELO | 1 |
0.2%
|
|
| SPOSETU | 1 |
0.2%
|
|
| STEPHANUS | 1 |
0.2%
|
|
| SUSANNE | 1 |
0.2%
|
|
| SUZZETTE | 1 |
0.2%
|
|
| SYLVIA | 1 |
0.2%
|
|
| TANYA | 1 |
0.2%
|
|
| TARRYN | 1 |
0.2%
|
|
| TARYN | 1 |
0.2%
|
|
| TEBELLO | 1 |
0.2%
|
|
| TEBELO | 1 |
0.2%
|
|
| TESSA | 1 |
0.2%
|
|
| THABANG | 1 |
0.2%
|
|
| THABANG & NTHAB | 1 |
0.2%
|
|
| THABANI MLOTSHW | 1 |
0.2%
|
|
| THABISO | 1 |
0.2%
|
|
| THABO | 2 |
0.3%
|
|
| THALENTE | 1 |
0.2%
|
|
| THANDEKA GAMA | 1 |
0.2%
|
|
| THANDIWE | 1 |
0.2%
|
|
| THAPELO | 1 |
0.2%
|
|
| THATHO | 1 |
0.2%
|
|
| THATO | 3 |
0.5%
|
|
| THEMBA | 1 |
0.2%
|
|
| THEMBINKOSI | 1 |
0.2%
|
|
| THOBANI | 1 |
0.2%
|
|
| THOBILE | 1 |
0.2%
|
|
| TIA | 1 |
0.2%
|
|
| TOM JUNIOR | 1 |
0.2%
|
|
| TREND | 1 |
0.2%
|
|
| TRISHAL | 1 |
0.2%
|
|
| TRUEMAN | 1 |
0.2%
|
|
| TSHEAMO | 1 |
0.2%
|
|
| TSHEPANG | 1 |
0.2%
|
|
| TSHEPO | 2 |
0.3%
|
|
| TSHESANE | 1 |
0.2%
|
|
| TSHIHLUKE | 1 |
0.2%
|
|
| TWINS | 1 |
0.2%
|
|
| UMPHILE | 1 |
0.2%
|
|
| VANESHIA | 1 |
0.2%
|
|
| VERNO | 1 |
0.2%
|
|
| VEZI MAYISA | 1 |
0.2%
|
|
| VICTOR | 1 |
0.2%
|
|
| VINEETH ADAMS | 1 |
0.2%
|
|
| VUKILE | 1 |
0.2%
|
|
| VUYO | 1 |
0.2%
|
|
| WALLEEH AHMED | 1 |
0.2%
|
|
| WANDILE | 1 |
0.2%
|
|
| WITNA | 1 |
0.2%
|
|
| WYBRA | 1 |
0.2%
|
|
| XAVIER | 1 |
0.2%
|
|
| XOLILE | 1 |
0.2%
|
|
| XOLISILE | 1 |
0.2%
|
|
| YALE | 1 |
0.2%
|
|
| YAMKELA | 1 |
0.2%
|
|
| YAMKELANI DYANT | 1 |
0.2%
|
|
| YANGA MATIWANE | 1 |
0.2%
|
|
| YOLANDA | 2 |
0.3%
|
|
| YONELA | 1 |
0.2%
|
|
| YVONNE | 1 |
0.2%
|
|
| ZAMA | 1 |
0.2%
|
|
| ZAMANI | 1 |
0.2%
|
|
| ZANELE | 3 |
0.5%
|
|
| ZEMVELO | 1 |
0.2%
|
|
| ZENANDE | 1 |
0.2%
|
|
| ZINTLE | 1 |
0.2%
|
|
| ZIXOLILE | 1 |
0.2%
|
|
| ZIZIPHO | 1 |
0.2%
|
|
| ZODUMO | 1 |
0.2%
|
|
| ZONDA | 1 |
0.2%
|
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.
Interviewer instructions
The purpose of these questions is to make sure that the interviewer gets the information about the youngest child in the household, whether related to the respondent or not, and determines the date of birth (month and year)and sex of the child. The interviewer should refer to this name for all questions in this section (Q6504-Q6565, and in malaria endemic areas Q6566-Q6570).
Description
Universe
Questions to be asked to households with children under 5 years.