South Africa - Nutritional and health outcomes in children and youth living in a high HIV prevalence rural setting in South Africa ,2012
Reference ID | AHPU.ZA011.NUTRITION.2012 |
Year | 2003 - 2007 |
Country | South Africa |
Producer(s) |
Elizabeth Kimani-Murage Dr. Kathy Kahn Dr. Shane Norris |
Metadata | Documentation in PDF |
Created on
May 03, 2018
Last modified
May 21, 2018
Page views
11957
surname
(surname)
File: growthStudysample
File: growthStudysample
Overview
Type:
Discrete Format: character Width: 16 | Valid cases: 3512 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
Baloyi | 5 | 0.1% | |
Banda | 2 | 0.1% | |
Bangu | 7 | 0.2% | |
Bila | 3 | 0.1% | |
Cambale | 1 | 0.0% | |
Cebekhulu | 1 | 0.0% | |
Chabangu | 7 | 0.2% | |
Chauke | 15 | 0.4% | |
Chavangu | 2 | 0.1% | |
Chawana | 2 | 0.1% | |
Chawane | 8 | 0.2% | |
Chawuke | 1 | 0.0% | |
Chilaule | 1 | 0.0% | |
Chiloane | 2 | 0.1% | |
Curtin | 1 | 0.0% | |
Dhlamini | 1 | 0.0% | |
Dibakoane | 1 | 0.0% | |
Dibakwane | 2 | 0.1% | |
Dlakude | 1 | 0.0% | |
Dlalana | 1 | 0.0% | |
Dlamini | 19 | 0.5% | |
Dlandla | 1 | 0.0% | |
Dlanga | 1 | 0.0% | |
Dombeni | 7 | 0.2% | |
Dzila | 1 | 0.0% | |
Dzimba | 6 | 0.2% | |
Fakude | 2 | 0.1% | |
Fundama | 3 | 0.1% | |
Gaspa | 1 | 0.0% | |
Gazide | 9 | 0.3% | |
Gina | 2 | 0.1% | |
Gininda | 1 | 0.0% | |
Godi | 14 | 0.4% | |
Godie | 4 | 0.1% | |
Green | 1 | 0.0% | |
Gumede | 11 | 0.3% | |
Gwebane | 1 | 0.0% | |
Gwebu | 1 | 0.0% | |
Hlabane | 2 | 0.1% | |
Hlahla | 1 | 0.0% | |
Hlanhla | 1 | 0.0% | |
Hlantswayo | 1 | 0.0% | |
Hlathswayo | 2 | 0.1% | |
Hlatshwayo | 13 | 0.4% | |
Hlatswayo | 8 | 0.2% | |
Hlatswhayo | 1 | 0.0% | |
Hlatywayo | 1 | 0.0% | |
Hlavangwane | 3 | 0.1% | |
Hlongwane | 4 | 0.1% | |
Hlongwani | 1 | 0.0% | |
Hlungwana | 2 | 0.1% | |
Hlungwane | 3 | 0.1% | |
Honyini | 3 | 0.1% | |
Hun'wane | 2 | 0.1% | |
Javane | 1 | 0.0% | |
Jozina | 1 | 0.0% | |
Kabinde | 1 | 0.0% | |
Karimbe | 1 | 0.0% | |
Kgatla | 1 | 0.0% | |
Khos | 1 | 0.0% | |
Khosa | 280 | 8.0% | |
Khoza | 23 | 0.7% | |
Khumalo | 14 | 0.4% | |
Khumbula | 2 | 0.1% | |
Kubayi | 6 | 0.2% | |
Lamula | 7 | 0.2% | |
Langa | 1 | 0.0% | |
Lebako | 1 | 0.0% | |
Lekhuleni | 1 | 0.0% | |
Letjane | 1 | 0.0% | |
Letsoalo | 1 | 0.0% | |
Lubisi | 21 | 0.6% | |
Lukhele | 4 | 0.1% | |
Luwumbana | 1 | 0.0% | |
MAkwakwa | 1 | 0.0% | |
Maake | 1 | 0.0% | |
Mabaso | 7 | 0.2% | |
Mabele | 1 | 0.0% | |
Mabena | 1 | 0.0% | |
Mabunda | 46 | 1.3% | |
Mabuye | 3 | 0.1% | |
Mabuza | 8 | 0.2% | |
Maceke | 1 | 0.0% | |
Machabe | 12 | 0.3% | |
Machave | 7 | 0.2% | |
Machavi | 7 | 0.2% | |
Macheke | 1 | 0.0% | |
Machete | 1 | 0.0% | |
Madalana | 3 | 0.1% | |
Madalane | 5 | 0.1% | |
Madlhophe | 1 | 0.0% | |
Madlophe | 1 | 0.0% | |
Madonsela | 12 | 0.3% | |
Mafumu | 2 | 0.1% | |
Mafundza | 1 | 0.0% | |
Mafuwane | 4 | 0.1% | |
Mafuyeka | 10 | 0.3% | |
Magadzi | 1 | 0.0% | |
Magagule | 1 | 0.0% | |
Magale | 5 | 0.1% | |
Mahaule | 2 | 0.1% | |
Mahlalela | 2 | 0.1% | |
Mahlalele | 3 | 0.1% | |
Mahlaule | 1 | 0.0% | |
Maholobela | 2 | 0.1% | |
Mahori | 2 | 0.1% | |
Mahuli | 1 | 0.0% | |
Mahumana | 1 | 0.0% | |
Mahungele | 17 | 0.5% | |
Maile | 5 | 0.1% | |
Makamu | 11 | 0.3% | |
Makaringe | 4 | 0.1% | |
Makhuba | 1 | 0.0% | |
Makhubela | 13 | 0.4% | |
Makhubele | 10 | 0.3% | |
Makhushe | 4 | 0.1% | |
Makhushu | 1 | 0.0% | |
Makhuvele | 3 | 0.1% | |
Makombe | 1 | 0.0% | |
Makombo | 1 | 0.0% | |
Makondo | 1 | 0.0% | |
Makukule | 11 | 0.3% | |
Makwakwa | 10 | 0.3% | |
Malamule | 7 | 0.2% | |
Malandule | 1 | 0.0% | |
Malapana | 1 | 0.0% | |
Malapane | 2 | 0.1% | |
Malatjie | 4 | 0.1% | |
Malele | 1 | 0.0% | |
Maleyana | 1 | 0.0% | |
Malinga | 1 | 0.0% | |
Malitsha | 1 | 0.0% | |
Malomane | 1 | 0.0% | |
Malope | 2 | 0.1% | |
Maluka | 6 | 0.2% | |
Maluleke | 4 | 0.1% | |
Malumane | 2 | 0.1% | |
Malupi | 2 | 0.1% | |
Malwana | 1 | 0.0% | |
Mambana | 11 | 0.3% | |
Mambane | 11 | 0.3% | |
Maminti | 1 | 0.0% | |
Mamisi | 1 | 0.0% | |
Mamiza | 1 | 0.0% | |
Mandhlazi | 3 | 0.1% | |
Mandlati | 2 | 0.1% | |
Mandlaze | 3 | 0.1% | |
Mandlazi | 16 | 0.5% | |
Mandlhazi | 1 | 0.0% | |
Manganyi | 2 | 0.1% | |
Manungu | 1 | 0.0% | |
Manyathele | 1 | 0.0% | |
Manyatsi | 1 | 0.0% | |
Manyike | 9 | 0.3% | |
Manzini | 36 | 1.0% | |
Maoko | 2 | 0.1% | |
Maphanga | 7 | 0.2% | |
Maphosa/sibuyi | 1 | 0.0% | |
Maphoso | 2 | 0.1% | |
Marikhele | 1 | 0.0% | |
Maringa | 1 | 0.0% | |
Maritsi | 3 | 0.1% | |
Marula | 1 | 0.0% | |
Marule | 1 | 0.0% | |
Maseko | 1 | 0.0% | |
Maselane | 1 | 0.0% | |
Mashaba | 30 | 0.9% | |
Mashale | 8 | 0.2% | |
Mashayila | 1 | 0.0% | |
Mashego | 6 | 0.2% | |
Mashele | 29 | 0.8% | |
Mashengete | 1 | 0.0% | |
Mashile | 1 | 0.0% | |
Mashiloana | 1 | 0.0% | |
Mashiloane | 2 | 0.1% | |
Mashilwana | 1 | 0.0% | |
Mashinini | 4 | 0.1% | |
Mashiyi | 1 | 0.0% | |
Masilana | 1 | 0.0% | |
Masilane | 3 | 0.1% | |
Masilani | 1 | 0.0% | |
Masinga | 18 | 0.5% | |
Masiye | 6 | 0.2% | |
Masuku | 5 | 0.1% | |
Maswanganyi | 2 | 0.1% | |
Matcheke | 2 | 0.1% | |
Mathabela | 7 | 0.2% | |
Mathe | 5 | 0.1% | |
Mathebula | 104 | 3.0% | |
Mathebule | 5 | 0.1% | |
Mathonsi | 15 | 0.4% | |
Mathumbu | 12 | 0.3% | |
Mathunjwa | 1 | 0.0% | |
Matlhavana | 1 | 0.0% | |
Matlhavane | 1 | 0.0% | |
Matlombe | 1 | 0.0% | |
Matsana | 2 | 0.1% | |
Matsane | 9 | 0.3% | |
Matukane | 3 | 0.1% | |
Mautlana | 1 | 0.0% | |
Mavanga | 2 | 0.1% | |
Mavhimbela | 1 | 0.0% | |
Mavhundlha | 3 | 0.1% | |
Mavila | 1 | 0.0% | |
Mavilana | 1 | 0.0% | |
Mavimbela | 1 | 0.0% | |
Mavombo | 1 | 0.0% | |
Mavundla | 1 | 0.0% | |
Mawayi | 1 | 0.0% | |
Mawela | 2 | 0.1% | |
Mawele | 5 | 0.1% | |
Mawelele | 6 | 0.2% | |
Mawila | 1 | 0.0% | |
Mawunye | 2 | 0.1% | |
Mayamuye | 2 | 0.1% | |
Mayibazi | 1 | 0.0% | |
Mayile | 4 | 0.1% | |
Mayindi | 13 | 0.4% | |
Maziba | 2 | 0.1% | |
Mazibuko | 3 | 0.1% | |
Mazuze | 2 | 0.1% | |
Mbambo | 5 | 0.1% | |
Mbatsana | 1 | 0.0% | |
Mbetse | 1 | 0.0% | |
Mbeva | 1 | 0.0% | |
Mbhalati | 1 | 0.0% | |
Mbhambho | 8 | 0.2% | |
Mbhambo | 13 | 0.4% | |
Mbhazo | 1 | 0.0% | |
Mbhembhele | 1 | 0.0% | |
Mbhiza | 1 | 0.0% | |
Mbhokodo | 1 | 0.0% | |
Mbhundzu | 1 | 0.0% | |
Mbhungele | 12 | 0.3% | |
Mbiza | 2 | 0.1% | |
Mbokane | 1 | 0.0% | |
Mbokazi | 1 | 0.0% | |
Mbokodo | 3 | 0.1% | |
Mbombi | 1 | 0.0% | |
Mbondzisi | 1 | 0.0% | |
Mbowana | 2 | 0.1% | |
Mbowane | 1 | 0.0% | |
Mboweni | 8 | 0.2% | |
Mbuyane | 1 | 0.0% | |
Mchavini | 1 | 0.0% | |
Mculu | 2 | 0.1% | |
Mdaka | 17 | 0.5% | |
Mdlovu | 2 | 0.1% | |
Mdluli | 28 | 0.8% | |
Meruti | 1 | 0.0% | |
Mfomande | 1 | 0.0% | |
Mganu | 1 | 0.0% | |
Mgemezulu | 2 | 0.1% | |
Mgiba | 11 | 0.3% | |
Mgomezulu | 2 | 0.1% | |
Mhaleni | 1 | 0.0% | |
Mhangana | 3 | 0.1% | |
Mhangane | 4 | 0.1% | |
Mhaule | 1 | 0.0% | |
Mhimbiri | 1 | 0.0% | |
Mhlaba | 37 | 1.1% | |
Mhlanga | 41 | 1.2% | |
Mhlava | 1 | 0.0% | |
Mhlongo | 78 | 2.2% | |
Mhlongo / Gumede | 1 | 0.0% | |
Mkabi | 1 | 0.0% | |
Mkansi | 29 | 0.8% | |
Mkavele | 1 | 0.0% | |
Mkhabela | 18 | 0.5% | |
Mkhabele | 19 | 0.5% | |
Mkhanthswa | 5 | 0.1% | |
Mkhantshwa | 15 | 0.4% | |
Mkhantswa | 5 | 0.1% | |
Mkhantu | 1 | 0.0% | |
Mkhatshwa | 3 | 0.1% | |
Mkhavela | 3 | 0.1% | |
Mkhavele | 2 | 0.1% | |
Mkhomazi | 4 | 0.1% | |
Mkhombo | 5 | 0.1% | |
Mkhonto | 77 | 2.2% | |
Mkhulisi | 1 | 0.0% | |
Mkhwanazi | 6 | 0.2% | |
Mkoena | 4 | 0.1% | |
Mlambo | 1 | 0.0% | |
Mnamati | 3 | 0.1% | |
Mnareng | 3 | 0.1% | |
Mngomezulu | 1 | 0.0% | |
Mnisi | 102 | 2.9% | |
Mokgutlane | 1 | 0.0% | |
Mokoena | 46 | 1.3% | |
Molimo | 1 | 0.0% | |
Molotjo | 1 | 0.0% | |
Mona | 3 | 0.1% | |
Monareng | 3 | 0.1% | |
Mondlana | 2 | 0.1% | |
Mondlane | 1 | 0.0% | |
Mongwana | 1 | 0.0% | |
Mongwane | 5 | 0.1% | |
Mongwe | 3 | 0.1% | |
Morgetse | 1 | 0.0% | |
Moropane | 1 | 0.0% | |
Moshoane | 1 | 0.0% | |
Moyana | 2 | 0.1% | |
Moyane | 6 | 0.2% | |
Mpangana | 1 | 0.0% | |
Mpangane | 3 | 0.1% | |
Mpelewa | 2 | 0.1% | |
Mphogo | 2 | 0.1% | |
Mqanga | 1 | 0.0% | |
Msebi | 1 | 0.0% | |
Msimango | 4 | 0.1% | |
Msumi | 1 | 0.0% | |
Mthabini | 5 | 0.1% | |
Mthanyelo | 1 | 0.0% | |
Mthavini | 2 | 0.1% | |
Mthembi | 1 | 0.0% | |
Mthembu | 2 | 0.1% | |
Mthenjane | 1 | 0.0% | |
Mthethwa | 10 | 0.3% | |
Mthetwa | 2 | 0.1% | |
Mthimkhulu | 4 | 0.1% | |
Mthobeni | 1 | 0.0% | |
Mthombeni | 15 | 0.4% | |
Mthuke | 3 | 0.1% | |
Mtileni | 3 | 0.1% | |
Mtungwa | 3 | 0.1% | |
Mudaka | 1 | 0.0% | |
Mugandi | 1 | 0.0% | |
Muhlovo | 1 | 0.0% | |
Mukayi | 1 | 0.0% | |
Mukuruza | 1 | 0.0% | |
Mulungu | 1 | 0.0% | |
Mwale | 1 | 0.0% | |
Mwendana | 1 | 0.0% | |
Myothwa | 1 | 0.0% | |
Mzimba | 9 | 0.3% | |
N'wandzu | 2 | 0.1% | |
N'wavele | 2 | 0.1% | |
Nape | 2 | 0.1% | |
Ncuba | 1 | 0.0% | |
Ncube | 2 | 0.1% | |
Ndhuvana | 1 | 0.0% | |
Ndima | 4 | 0.1% | |
Ndimande | 6 | 0.2% | |
Ndlala | 1 | 0.0% | |
Ndlamini | 3 | 0.1% | |
Ndlhovu | 3 | 0.1% | |
Ndlovbu | 1 | 0.0% | |
Ndlovu | 165 | 4.7% | |
Ndlovu\Sibuyi | 1 | 0.0% | |
Ndubana | 1 | 0.0% | |
Ndubane | 17 | 0.5% | |
Nduvane | 1 | 0.0% | |
Ndyangu | 1 | 0.0% | |
Ndzhovela | 2 | 0.1% | |
Ndzwana | 1 | 0.0% | |
Nelukato | 1 | 0.0% | |
Nghonyama | 2 | 0.1% | |
Ngobeni | 54 | 1.5% | |
Ngomana | 1 | 0.0% | |
Ngomane | 22 | 0.6% | |
Ngomani | 1 | 0.0% | |
Ngonyama | 6 | 0.2% | |
Ngoveni | 2 | 0.1% | |
Ngwenya | 27 | 0.8% | |
Ngwenyama | 2 | 0.1% | |
Nhavinga | 1 | 0.0% | |
Nhlahla | 4 | 0.1% | |
Nhlanhla | 2 | 0.1% | |
Nhlongo | 3 | 0.1% | |
Nhlungwana | 1 | 0.0% | |
Nhuvunga | 1 | 0.0% | |
Nkalanga | 1 | 0.0% | |
Nkanyane | 1 | 0.0% | |
Nkhantshwa | 1 | 0.0% | |
Nkhonto | 1 | 0.0% | |
Nkomo | 3 | 0.1% | |
Nkondzo | 2 | 0.1% | |
Nkosi | 9 | 0.3% | |
Nkumba | 1 | 0.0% | |
Nkuna | 59 | 1.7% | |
Nkuna/phelembe | 1 | 0.0% | |
Nkwamba | 3 | 0.1% | |
Nonyana | 1 | 0.0% | |
Nonyane | 6 | 0.2% | |
Novela | 4 | 0.1% | |
Nthani | 4 | 0.1% | |
Nthsani | 1 | 0.0% | |
Ntimane | 15 | 0.4% | |
Ntimba | 6 | 0.2% | |
Ntlemo | 1 | 0.0% | |
Ntuli | 2 | 0.1% | |
Nxumalo | 18 | 0.5% | |
Nyabanga | 1 | 0.0% | |
Nyadule | 1 | 0.0% | |
Nyakane | 11 | 0.3% | |
Nyalungu | 28 | 0.8% | |
Nyambi | 11 | 0.3% | |
Nyamushe | 1 | 0.0% | |
Nyathi | 23 | 0.7% | |
Nyezi | 1 | 0.0% | |
Nyunguza | 1 | 0.0% | |
Nzima | 9 | 0.3% | |
Nzima/Ntimana | 1 | 0.0% | |
Nzimande | 1 | 0.0% | |
Phelembe | 9 | 0.3% | |
Philani | 1 | 0.0% | |
Phiri | 3 | 0.1% | |
Phoku | 1 | 0.0% | |
Qhibi | 2 | 0.1% | |
Ramokhuba | 1 | 0.0% | |
Raphalane | 1 | 0.0% | |
Ratakga | 1 | 0.0% | |
Reuben | 1 | 0.0% | |
Rikhotso | 4 | 0.1% | |
Rikombe | 5 | 0.1% | |
Risenga | 3 | 0.1% | |
Sambo | 51 | 1.5% | |
Sarila | 3 | 0.1% | |
Sedibe | 1 | 0.0% | |
Seerane | 1 | 0.0% | |
Sekatane | 1 | 0.0% | |
Selematsela | 1 | 0.0% | |
Sen'wayo | 1 | 0.0% | |
Sgauke | 1 | 0.0% | |
Shabangu | 50 | 1.4% | |
Shai | 5 | 0.1% | |
Shibambu | 1 | 0.0% | |
Shibure | 1 | 0.0% | |
Shihesi | 2 | 0.1% | |
Shilavi | 5 | 0.1% | |
Shilubana | 2 | 0.1% | |
Shilubane | 14 | 0.4% | |
Shiluvane | 1 | 0.0% | |
Shirindza | 1 | 0.0% | |
Shisana | 1 | 0.0% | |
Shisane | 1 | 0.0% | |
Shishaba | 9 | 0.3% | |
Shivambu | 5 | 0.1% | |
Shobete | 1 | 0.0% | |
Shongwe | 1 | 0.0% | |
Shukusha | 2 | 0.1% | |
Sibiya | 10 | 0.3% | |
Sibuy | 1 | 0.0% | |
Sibuyana | 1 | 0.0% | |
Sibuyane | 3 | 0.1% | |
Sibuyi | 213 | 6.1% | |
Sihlangu | 21 | 0.6% | |
Silaule | 37 | 1.1% | |
Silinda | 3 | 0.1% | |
Silubane | 2 | 0.1% | |
Simangane | 3 | 0.1% | |
Simelane | 1 | 0.0% | |
Sithole | 39 | 1.1% | |
Sivalo | 1 | 0.0% | |
Siwela | 12 | 0.3% | |
Siwele | 2 | 0.1% | |
Skgobela | 1 | 0.0% | |
Skhumbane | 2 | 0.1% | |
Slaule | 1 | 0.0% | |
Sondlana | 2 | 0.1% | |
Sondlane | 5 | 0.1% | |
Sono | 1 | 0.0% | |
Sthole | 1 | 0.0% | |
Sumbana | 2 | 0.1% | |
Sumbane | 1 | 0.0% | |
Theko | 5 | 0.1% | |
Themba | 12 | 0.3% | |
Thengwayo | 1 | 0.0% | |
Thibela | 8 | 0.2% | |
Thobela | 7 | 0.2% | |
Thovela | 2 | 0.1% | |
Tibane | 4 | 0.1% | |
Tivana | 1 | 0.0% | |
Tivane | 4 | 0.1% | |
Tjamango | 1 | 0.0% | |
Toloane | 1 | 0.0% | |
Tselani | 1 | 0.0% | |
Tshabalala | 1 | 0.0% | |
Tsila | 1 | 0.0% | |
Twala | 4 | 0.1% | |
Ubisi | 156 | 4.4% | |
Ubisi/Rikhotso | 1 | 0.0% | |
Ubisse | 1 | 0.0% | |
Velani | 1 | 0.0% | |
Vhukeya | 1 | 0.0% | |
Vurheni | 2 | 0.1% | |
Whati | 5 | 0.1% | |
Xilavi | 1 | 0.0% | |
Xivambu | 1 | 0.0% | |
Xivulelo | 1 | 0.0% | |
Xixongi | 1 | 0.0% | |
Zambukeri | 1 | 0.0% | |
Zimbili | 1 | 0.0% | |
Zitha | 46 | 1.3% | |
Zulu | 1 | 0.0% | |
Zwane | 8 | 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.