National Income Dynamics Study 2012
South Africa, 2012
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Reference ID
ZAF_2012_NIDS-W3_v01_EN_M_v01_A_OCS
Producer(s)
Southern Africa Labour and Development Research Unit
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Metadata
Created on
Oct 07, 2020
Last modified
Nov 03, 2020
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b11_4 - Country respondent born in (w3_p_brncc)
Data file: Proxy_W3_Anon_V2.1
Overview
Valid:
54
Invalid:
2661
Minimum:
-3
Maximum:
435
Type:
Discrete
Decimal:
0
Start:
134
End:
136
Width:
3
Range:
-9 - 528
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | Don't Know | 0 |
0%
|
| -8 | Refused | 0 |
0%
|
| -7 | Same as current country | 0 |
0%
|
| -5 | Not Applicable | 0 |
0%
|
| -3 | Missing | 1 |
1.9%
|
| 111 | Lesotho | 8 |
14.8%
|
| 112 | Namibia | 6 |
11.1%
|
| 113 | Botswana | 1 |
1.9%
|
| 114 | Zimbabwe | 10 |
18.5%
|
| 115 | Mozambique | 11 |
20.4%
|
| 116 | Swaziland | 4 |
7.4%
|
| 121 | Angola | 1 |
1.9%
|
| 122 | Democratic Republic of Congo | 0 |
0%
|
| 123 | Malawi | 1 |
1.9%
|
| 124 | Mauritius | 0 |
0%
|
| 125 | Seychelles | 0 |
0%
|
| 126 | Tanzania | 0 |
0%
|
| 127 | Zambia | 1 |
1.9%
|
| 130 | Algeria | 0 |
0%
|
| 131 | Benin | 0 |
0%
|
| 132 | Burkina Faso | 0 |
0%
|
| 133 | Burundi | 0 |
0%
|
| 134 | Cameroon | 0 |
0%
|
| 135 | Cape Verde | 0 |
0%
|
| 136 | Central African Republic | 0 |
0%
|
| 137 | Chad | 0 |
0%
|
| 138 | Comoros | 0 |
0%
|
| 139 | Congo | 1 |
1.9%
|
| 140 | Cote D'ivoire | 0 |
0%
|
| 141 | Djibouti | 0 |
0%
|
| 142 | Egypt | 1 |
1.9%
|
| 143 | Equatorial Guinea | 0 |
0%
|
| 144 | Eritrea | 0 |
0%
|
| 145 | Ethiopia | 0 |
0%
|
| 146 | Gabon | 0 |
0%
|
| 147 | Gambia | 0 |
0%
|
| 148 | Ghana | 0 |
0%
|
| 149 | Guinea | 0 |
0%
|
| 150 | Guinea-Bissau | 0 |
0%
|
| 151 | Kenya | 0 |
0%
|
| 152 | Liberia | 0 |
0%
|
| 153 | Libyan Arab Jamahiriya | 0 |
0%
|
| 154 | Madagascar | 0 |
0%
|
| 155 | Mali | 0 |
0%
|
| 156 | Mauritania | 0 |
0%
|
| 157 | Morocco | 0 |
0%
|
| 158 | Niger | 0 |
0%
|
| 159 | Nigeria | 0 |
0%
|
| 160 | Reunion | 0 |
0%
|
| 161 | Rwanda | 0 |
0%
|
| 162 | Saint Helena | 0 |
0%
|
| 163 | Sao Tome And Principe | 0 |
0%
|
| 164 | Senegal | 0 |
0%
|
| 165 | Sierra Leone | 0 |
0%
|
| 166 | Somalia | 1 |
1.9%
|
| 167 | Sudan | 0 |
0%
|
| 168 | Togo | 0 |
0%
|
| 169 | Tunisia | 0 |
0%
|
| 170 | Uganda | 0 |
0%
|
| 171 | Western Sahara | 0 |
0%
|
| 199 | Other Africa | 0 |
0%
|
| 201 | United States | 0 |
0%
|
| 202 | Anguilla And Barbuda | 0 |
0%
|
| 203 | Antigua | 0 |
0%
|
| 204 | Argentina | 0 |
0%
|
| 205 | Aruba | 0 |
0%
|
| 206 | Bahamas | 0 |
0%
|
| 207 | Barbados | 0 |
0%
|
| 208 | Belize | 0 |
0%
|
| 209 | Bermuda | 0 |
0%
|
| 210 | Bolivia | 0 |
0%
|
| 211 | Brazil | 0 |
0%
|
| 212 | British Virgin Islands | 0 |
0%
|
| 213 | Canada | 0 |
0%
|
| 214 | Caribbean | 0 |
0%
|
| 215 | Cayman Islands | 0 |
0%
|
| 216 | Chile | 0 |
0%
|
| 217 | Colombia | 0 |
0%
|
| 218 | Costa Rica | 0 |
0%
|
| 219 | Cuba | 0 |
0%
|
| 220 | Dominica | 0 |
0%
|
| 221 | Dominican Republic | 0 |
0%
|
| 222 | Ecuador | 0 |
0%
|
| 223 | El Salvador | 0 |
0%
|
| 224 | Falkland Islands (Malvinas) | 0 |
0%
|
| 225 | French Guiana | 0 |
0%
|
| 226 | Greenland | 0 |
0%
|
| 227 | Grenada | 0 |
0%
|
| 228 | Guadeloupe | 0 |
0%
|
| 229 | Guatemala | 0 |
0%
|
| 230 | Guyana | 0 |
0%
|
| 231 | Haiti | 0 |
0%
|
| 232 | Honduras | 0 |
0%
|
| 233 | Jamaica | 0 |
0%
|
| 234 | Latin America And The Carribean | 0 |
0%
|
| 235 | Martinique | 0 |
0%
|
| 236 | Mexico | 0 |
0%
|
| 237 | Montserrat | 0 |
0%
|
| 238 | Netherlands Antilles | 0 |
0%
|
| 239 | Nicaragua | 0 |
0%
|
| 240 | Panama | 0 |
0%
|
| 241 | Paraguay | 0 |
0%
|
| 242 | Peru | 0 |
0%
|
| 243 | Puerto Rico And Nevis | 0 |
0%
|
| 244 | Saint Kitts And | 0 |
0%
|
| 245 | Saint Lucia | 0 |
0%
|
| 246 | Saint Pierre And Miquelon | 0 |
0%
|
| 247 | Saint Vincent And The Grenadines | 0 |
0%
|
| 248 | Suriname | 0 |
0%
|
| 249 | Trinidad And Tobago | 0 |
0%
|
| 250 | Turks And Caicos Islands | 0 |
0%
|
| 251 | United States Virgin Islands | 0 |
0%
|
| 252 | Uruguay | 0 |
0%
|
| 253 | Venezuela | 0 |
0%
|
| 299 | Other North and South America | 0 |
0%
|
| 301 | China | 0 |
0%
|
| 302 | Afghanistan | 0 |
0%
|
| 303 | Armenia | 0 |
0%
|
| 304 | Azerbaijan | 0 |
0%
|
| 305 | Bahrain | 0 |
0%
|
| 306 | Bangladesh | 0 |
0%
|
| 307 | Bhutan | 0 |
0%
|
| 308 | Brunei Darussalam | 0 |
0%
|
| 309 | Cambodia | 0 |
0%
|
| 310 | Cyprus | 0 |
0%
|
| 311 | Democratic People's Republic of Korea | 0 |
0%
|
| 312 | East Timor | 0 |
0%
|
| 313 | Georgia | 0 |
0%
|
| 314 | Hong Kong Special Administrative Region of China | 0 |
0%
|
| 315 | India | 1 |
1.9%
|
| 316 | Indonesia | 0 |
0%
|
| 317 | Iran (Islamic Republic of) | 0 |
0%
|
| 318 | Iraq | 0 |
0%
|
| 319 | Israel | 0 |
0%
|
| 320 | Japan | 0 |
0%
|
| 321 | Jordan | 0 |
0%
|
| 322 | Kazakhstan | 0 |
0%
|
| 323 | Kuwait | 0 |
0%
|
| 324 | Kyrgyzstan | 0 |
0%
|
| 325 | Lao People's Democratic Republic | 0 |
0%
|
| 326 | Lebanon | 0 |
0%
|
| 327 | Macao Special Administrative Region of China | 0 |
0%
|
| 328 | Malaysia | 0 |
0%
|
| 329 | Maldives | 0 |
0%
|
| 330 | Mongolia | 0 |
0%
|
| 331 | Myanmar | 0 |
0%
|
| 332 | Nepal | 0 |
0%
|
| 333 | Occupied Palesinian Territory | 0 |
0%
|
| 334 | Oman | 0 |
0%
|
| 335 | Pakistan | 0 |
0%
|
| 336 | Philippines | 0 |
0%
|
| 337 | Qatar | 0 |
0%
|
| 338 | Republic Of Korea | 0 |
0%
|
| 339 | Saudi Arabia | 0 |
0%
|
| 340 | Singapore | 0 |
0%
|
| 341 | Sri Lanka | 0 |
0%
|
| 342 | Syrian Arab Republic | 0 |
0%
|
| 343 | Taiwan Province of China | 0 |
0%
|
| 344 | Tajikistan | 0 |
0%
|
| 345 | Thailand | 0 |
0%
|
| 346 | Turkey | 0 |
0%
|
| 347 | Turkmenistan | 0 |
0%
|
| 348 | United Arab Emirates | 0 |
0%
|
| 349 | Uzbekistan | 0 |
0%
|
| 350 | Viet Nam | 0 |
0%
|
| 351 | Yemen | 0 |
0%
|
| 399 | Other Asia | 0 |
0%
|
| 401 | United Kingdom | 3 |
5.6%
|
| 402 | Albania | 0 |
0%
|
| 403 | Andorra | 0 |
0%
|
| 404 | Austria | 0 |
0%
|
| 405 | Belarus | 0 |
0%
|
| 406 | Belgium | 0 |
0%
|
| 407 | Bosnia And Herzegovina | 0 |
0%
|
| 408 | Bulgaria | 0 |
0%
|
| 409 | Channel Islands | 0 |
0%
|
| 410 | Croatia | 0 |
0%
|
| 411 | Czech Republic | 0 |
0%
|
| 412 | Denmark | 0 |
0%
|
| 413 | Estonia | 0 |
0%
|
| 414 | Faeroe Islands | 0 |
0%
|
| 415 | Finland | 0 |
0%
|
| 416 | France | 0 |
0%
|
| 417 | Germany | 0 |
0%
|
| 418 | Gibraltar | 0 |
0%
|
| 419 | Greece | 0 |
0%
|
| 420 | Holy See | 0 |
0%
|
| 421 | Hungary | 0 |
0%
|
| 422 | Iceland | 0 |
0%
|
| 423 | Ireland | 0 |
0%
|
| 424 | Isle Of Man | 0 |
0%
|
| 425 | Italy | 0 |
0%
|
| 426 | Latvia | 0 |
0%
|
| 427 | Liechtenstein | 0 |
0%
|
| 428 | Lithuania | 0 |
0%
|
| 429 | Luxembourg | 0 |
0%
|
| 430 | Malta | 0 |
0%
|
| 431 | Monaco | 0 |
0%
|
| 432 | Netherlands | 2 |
3.7%
|
| 433 | Norway | 0 |
0%
|
| 434 | Poland | 0 |
0%
|
| 435 | Portugal | 1 |
1.9%
|
| 436 | Republic Of Moldova | 0 |
0%
|
| 437 | Romania | 0 |
0%
|
| 438 | Russian Federation | 0 |
0%
|
| 439 | San Marino | 0 |
0%
|
| 440 | Slovakia | 0 |
0%
|
| 441 | Slovenia | 0 |
0%
|
| 442 | Southern Europe | 0 |
0%
|
| 443 | Spain | 0 |
0%
|
| 444 | Svalbard And Jan Mayen Islands | 0 |
0%
|
| 445 | Sweden | 0 |
0%
|
| 446 | Switzerland | 0 |
0%
|
| 447 | The Former Yugoslav Republic of Macedonia | 0 |
0%
|
| 448 | Ukraine | 0 |
0%
|
| 449 | Federal Republic of Yugoslavia | 0 |
0%
|
| 499 | Other Europe | 0 |
0%
|
| 501 | Australia | 0 |
0%
|
| 502 | American Samoa | 0 |
0%
|
| 503 | Cook Islands | 0 |
0%
|
| 504 | Fiji | 0 |
0%
|
| 505 | French Polynesia | 0 |
0%
|
| 506 | Guam | 0 |
0%
|
| 507 | Kiribati | 0 |
0%
|
| 508 | Marshall Islands | 0 |
0%
|
| 509 | Melanesia | 0 |
0%
|
| 510 | Micronesia | 0 |
0%
|
| 511 | Micronesia (Federated States of) | 0 |
0%
|
| 512 | Nauru | 0 |
0%
|
| 513 | New Caledonia | 0 |
0%
|
| 514 | New Zealand | 0 |
0%
|
| 515 | Niue | 0 |
0%
|
| 516 | Norfolk Island | 0 |
0%
|
| 517 | Northern Mariana Islands | 0 |
0%
|
| 518 | Palau | 0 |
0%
|
| 519 | Papua New Guinea | 0 |
0%
|
| 520 | Pitcairn | 0 |
0%
|
| 521 | Polynesia | 0 |
0%
|
| 522 | Samoa | 0 |
0%
|
| 523 | Solomon Islands | 0 |
0%
|
| 524 | Tokelau | 0 |
0%
|
| 525 | Tonga | 0 |
0%
|
| 526 | Tuvalu | 0 |
0%
|
| 527 | Vanuatu | 0 |
0%
|
| 528 | Wallis and Futuna Islands | 0 |
0%
|
| Sysmiss | 2661 |
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.