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    Home / Data Portal / ARRRD / ZAF-MC-WISA-2007-2011-V1 / variable [V70]
ARRRD

Water Inequality in South Africa 2007-2011

South Africa, 2007 - 2011
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Reference ID
zaf-mc-wisa-2007-2011-v1
Producer(s)
Megan Cole
Collections
African Research Replication and Reproducibility Data African Centre of Excellence for Inequality Research
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 05, 2024
Last modified
Jun 06, 2024
Page views
10409
Downloads
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  • Study Description
  • Data Description
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  • Data files
  • wausa-access-district-mun-v1
  • wausa-access-local-mun-v1
  • wausa-access-province-v1
  • wausa-access-ward-v1
  • wausa-use-district-mun-v1
  • wausa-use-local-mun-v1
  • wausa-use-province-v1
  • wausa-use-town-v1

(Municipality_Code)

Data file: wausa-use-local-mun-v1

Overview

Valid: 234
Invalid: 0
Type: Discrete
loc_start_pos: 54
loc_end_pos: 59
Width: 6
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
BUF 1
0.4%
CPT 1
0.4%
EC101 1
0.4%
EC102 1
0.4%
EC103 1
0.4%
EC104 1
0.4%
EC105 1
0.4%
EC106 1
0.4%
EC107 1
0.4%
EC108 1
0.4%
EC109 1
0.4%
EC121 1
0.4%
EC122 1
0.4%
EC123 1
0.4%
EC124 1
0.4%
EC126 1
0.4%
EC127 1
0.4%
EC128 1
0.4%
EC131 1
0.4%
EC132 1
0.4%
EC133 1
0.4%
EC134 1
0.4%
EC135 1
0.4%
EC136 1
0.4%
EC137 1
0.4%
EC138 1
0.4%
EC141 1
0.4%
EC142 1
0.4%
EC143 1
0.4%
EC144 1
0.4%
EC153 1
0.4%
EC154 1
0.4%
EC155 1
0.4%
EC156 1
0.4%
EC157 1
0.4%
EC441 1
0.4%
EC442 1
0.4%
EC443 1
0.4%
EC444 1
0.4%
EKU 1
0.4%
ETH 1
0.4%
FS161 1
0.4%
FS162 1
0.4%
FS163 1
0.4%
FS164 1
0.4%
FS181 1
0.4%
FS182 1
0.4%
FS183 1
0.4%
FS184 1
0.4%
FS185 1
0.4%
FS191 1
0.4%
FS192 1
0.4%
FS193 1
0.4%
FS194 1
0.4%
FS195 1
0.4%
FS196 1
0.4%
FS201 1
0.4%
FS203 1
0.4%
FS204 1
0.4%
FS205 1
0.4%
GT421 1
0.4%
GT422 1
0.4%
GT423 1
0.4%
GT481 1
0.4%
GT482 1
0.4%
GT483 1
0.4%
GT484 1
0.4%
JHB 1
0.4%
KZN211 1
0.4%
KZN212 1
0.4%
KZN213 1
0.4%
KZN214 1
0.4%
KZN215 1
0.4%
KZN216 1
0.4%
KZN221 1
0.4%
KZN222 1
0.4%
KZN223 1
0.4%
KZN224 1
0.4%
KZN225 1
0.4%
KZN226 1
0.4%
KZN227 1
0.4%
KZN232 1
0.4%
KZN233 1
0.4%
KZN234 1
0.4%
KZN235 1
0.4%
KZN236 1
0.4%
KZN241 1
0.4%
KZN242 1
0.4%
KZN244 1
0.4%
KZN245 1
0.4%
KZN252 1
0.4%
KZN253 1
0.4%
KZN254 1
0.4%
KZN261 1
0.4%
KZN262 1
0.4%
KZN263 1
0.4%
KZN265 1
0.4%
KZN266 1
0.4%
KZN271 1
0.4%
KZN272 1
0.4%
KZN273 1
0.4%
KZN274 1
0.4%
KZN275 1
0.4%
KZN281 1
0.4%
KZN282 1
0.4%
KZN283 1
0.4%
KZN284 1
0.4%
KZN285 1
0.4%
KZN286 1
0.4%
KZN291 1
0.4%
KZN292 1
0.4%
KZN293 1
0.4%
KZN294 1
0.4%
KZN431 1
0.4%
KZN432 1
0.4%
KZN433 1
0.4%
KZN434 1
0.4%
KZN435 1
0.4%
LIM331 1
0.4%
LIM332 1
0.4%
LIM333 1
0.4%
LIM334 1
0.4%
LIM335 1
0.4%
LIM341 1
0.4%
LIM342 1
0.4%
LIM343 1
0.4%
LIM344 1
0.4%
LIM351 1
0.4%
LIM352 1
0.4%
LIM353 1
0.4%
LIM354 1
0.4%
LIM355 1
0.4%
LIM361 1
0.4%
LIM362 1
0.4%
LIM364 1
0.4%
LIM365 1
0.4%
LIM366 1
0.4%
LIM367 1
0.4%
LIM471 1
0.4%
LIM472 1
0.4%
LIM473 1
0.4%
LIM474 1
0.4%
LIM475 1
0.4%
MAN 1
0.4%
MP301 1
0.4%
MP302 1
0.4%
MP303 1
0.4%
MP304 1
0.4%
MP305 1
0.4%
MP306 1
0.4%
MP307 1
0.4%
MP311 1
0.4%
MP312 1
0.4%
MP313 1
0.4%
MP314 1
0.4%
MP315 1
0.4%
MP316 1
0.4%
MP321 1
0.4%
MP322 1
0.4%
MP323 1
0.4%
MP324 1
0.4%
MP325 1
0.4%
NC061 1
0.4%
NC062 1
0.4%
NC064 1
0.4%
NC065 1
0.4%
NC066 1
0.4%
NC067 1
0.4%
NC071 1
0.4%
NC072 1
0.4%
NC073 1
0.4%
NC074 1
0.4%
NC075 1
0.4%
NC076 1
0.4%
NC077 1
0.4%
NC078 1
0.4%
NC081 1
0.4%
NC082 1
0.4%
NC083 1
0.4%
NC084 1
0.4%
NC085 1
0.4%
NC086 1
0.4%
NC091 1
0.4%
NC092 1
0.4%
NC093 1
0.4%
NC094 1
0.4%
NC451 1
0.4%
NC452 1
0.4%
NC453 1
0.4%
NMA 1
0.4%
NW371 1
0.4%
NW372 1
0.4%
NW373 1
0.4%
NW374 1
0.4%
NW375 1
0.4%
NW381 1
0.4%
NW382 1
0.4%
NW383 1
0.4%
NW384 1
0.4%
NW385 1
0.4%
NW392 1
0.4%
NW393 1
0.4%
NW394 1
0.4%
NW396 1
0.4%
NW397 1
0.4%
NW401 1
0.4%
NW402 1
0.4%
NW403 1
0.4%
NW404 1
0.4%
TSH 1
0.4%
WC011 1
0.4%
WC012 1
0.4%
WC013 1
0.4%
WC014 1
0.4%
WC015 1
0.4%
WC022 1
0.4%
WC023 1
0.4%
WC024 1
0.4%
WC025 1
0.4%
WC026 1
0.4%
WC031 1
0.4%
WC032 1
0.4%
WC033 1
0.4%
WC034 1
0.4%
WC041 1
0.4%
WC042 1
0.4%
WC043 1
0.4%
WC044 1
0.4%
WC045 1
0.4%
WC047 1
0.4%
WC048 1
0.4%
WC051 1
0.4%
WC052 1
0.4%
WC053 1
0.4%
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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