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ELOM and Thrive by Five Index 2016-2023, Merged Data

South Africa, 2016 - 2023
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Reference ID
zaf-dd-elom-tb5i-2016-2023-v1
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DataDrive2030
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DataDrive2030
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Created on
May 31, 2024
Last modified
May 31, 2024
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Municipality : Best (geo data) (mn_best)

Data file: elom-tb5i-2016-2023-v1

Overview

Valid: 9294
Invalid: 0
Type: Discrete
Width: 30
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
!KHEIS 13
0.1%
ABAQULUSI 11
0.1%
AMAHLATHI 40
0.4%
BA-PHALABORWA 12
0.1%
BITOU 3
0%
BLOUBERG 162
1.7%
BREEDE VALLEY 76
0.8%
BUFFALO CITY 27
0.3%
BUSHBUCKRIDGE 127
1.4%
CEDERBERG 15
0.2%
CHIEF ALBERT LUTHULI 33
0.4%
CITY OF CAPE TOWN 1446
15.6%
CITY OF JOHANNESBURG 422
4.5%
CITY OF MATLOSANA 52
0.6%
CITY OF MBOMBELA 110
1.2%
CITY OF TSHWANE 220
2.4%
COLLINS CHABANE 38
0.4%
DAWID KRUIPER 40
0.4%
DIHLABENG 55
0.6%
DIKGATLONG 15
0.2%
DITSOBOTLA 43
0.5%
DR JS MOROKA 53
0.6%
DR NKOSAZANA DLAMINI ZUMA 50
0.5%
DRAKENSTEIN 182
2%
EKURHULENI 235
2.5%
ELIAS MOTSOALEDI 12
0.1%
EMAKHAZENI 20
0.2%
EMALAHLENI 331
3.6%
EMFULENI 107
1.2%
EMTHANJENI 35
0.4%
ENDUMENI 12
0.1%
ENGCOBO 12
0.1%
ENOCH MGIJIMA 21
0.2%
EPHRAIM MOGALE 24
0.3%
ETHEKWINI 91
1%
FETAKGOMO TUBATSE 47
0.5%
GA-SEGONYANA 85
0.9%
GAMAGARA 35
0.4%
GOVAN MBEKI 35
0.4%
GREATER GIYANI 39
0.4%
GREATER KOKSTAD 8
0.1%
GREATER LETABA 23
0.2%
GREATER TAUNG 4
0%
GREATER TZANEEN 94
1%
HESSEQUA 39
0.4%
IMPENDLE 8
0.1%
INKOSI LANGALIBALELE 27
0.3%
INTSIKA YETHU 39
0.4%
JB MARKS 14
0.2%
JOE MOROLONG 321
3.5%
JOZINI 11
0.1%
KAGISANO/MOLOPO 55
0.6%
KAI !GARIB 35
0.4%
KANNALAND 13
0.1%
KING SABATA DALINDYEBO 44
0.5%
KNYSNA 22
0.2%
KOPANONG 16
0.2%
LANGEBERG 23
0.2%
LEPELE-NKUMPI 48
0.5%
LEPHALALE 12
0.1%
LESEDI 27
0.3%
LETSEMENG 12
0.1%
LOCAL MUNICIPALITY OF MADIBENG 50
0.5%
MAFIKENG 55
0.6%
MAFUBE 27
0.3%
MAKANA 7
0.1%
MAKHADO 35
0.4%
MAKHUDUTHAMAGA 12
0.1%
MALUTI A PHOFUNG 73
0.8%
MAMUSA 5
0.1%
MANDENI 18
0.2%
MANGAUNG 45
0.5%
MANTSOPA 27
0.3%
MAPHUMULO 8
0.1%
MAQUASSI HILLS 27
0.3%
MASILONYANA 32
0.3%
MATATIELE 12
0.1%
MATJHABENG 66
0.7%
MBHASHE 33
0.4%
MBIZANA 57
0.6%
METSIMAHOLO 12
0.1%
MHLONTLO 34
0.4%
MKHAMBATHINI 7
0.1%
MKHONDO 22
0.2%
MNQUMA 51
0.5%
MOGALAKWENA 231
2.5%
MOGALE CITY 11
0.1%
MOLEMOLE 12
0.1%
MOQHAKA 65
0.7%
MORETELE 47
0.5%
MOSES KOTANE 58
0.6%
MOSSEL BAY 22
0.2%
MSINGA 33
0.4%
MTHONJANENI 6
0.1%
MTUBATUBA 10
0.1%
MUSINA 95
1%
NALA 48
0.5%
NALEDI 8
0.1%
NDWEDWE 71
0.8%
NELSON MANDELA BAY 24
0.3%
NEWCASTLE 13
0.1%
NGQUSHWA 8
0.1%
NGQUZA HILL 48
0.5%
NGWATHE 35
0.4%
NKETOANA 10
0.1%
NKOMAZI 117
1.3%
NONGOMA 4
0%
NYANDENI 263
2.8%
OUDTSHOORN 24
0.3%
PHOKWANE 31
0.3%
PHUMELELA 34
0.4%
POLOKWANE 74
0.8%
PORT ST JOHNS 12
0.1%
RAND WEST CITY 23
0.2%
RATLOU 25
0.3%
RAY NKONYENI 44
0.5%
RAYMOND MHLABA 31
0.3%
RUSTENBURG 382
4.1%
SALDANHA BAY 63
0.7%
SETSOTO 8
0.1%
SIYANCUMA 26
0.3%
SIYATHEMBA 11
0.1%
SOL PLAATJE 73
0.8%
STELLENBOSCH 119
1.3%
STEVE TSHWETE 40
0.4%
SWELLENDAM 23
0.2%
THABA CHWEU 12
0.1%
THABAZIMBI 188
2%
THE MSUNDUZI 61
0.7%
THEMBELIHLE 12
0.1%
THEMBISILE 61
0.7%
THULAMELA 78
0.8%
TSANTSABANE 102
1.1%
TSWAING 29
0.3%
TSWELOPELE 11
0.1%
UBUHLEBEZWE 27
0.3%
UBUNTU 15
0.2%
ULUNDI 26
0.3%
UMDONI 10
0.1%
UMHLABUYALINGANA 10
0.1%
UMHLATHUZE 27
0.3%
UMLALAZI 53
0.6%
UMNGENI 24
0.3%
UMSHWATHI 11
0.1%
UMSOBOMVU 19
0.2%
UMUZIWABANTU 4
0%
UMVOTI 42
0.5%
UMZIMKHULU 23
0.2%
UMZIMVUBU 47
0.5%
UMZUMBE 83
0.9%
WALTER SISULU 12
0.1%
WITZENBERG 29
0.3%
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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