Value |
Category |
3 |
|
101 |
CHITIPA |
102 |
KARONGA |
103 |
NKHATABAY |
104 |
RUMPHI |
105 |
MZIMBA |
107 |
MZUZU CITY |
201 |
KASUNGU |
202 |
NKHOTA KOTA |
203 |
NTCHISI |
204 |
DOWA |
205 |
SALIMA |
206 |
LILONGWE |
207 |
MCHINJI |
208 |
DEDZA |
209 |
NTCHEU |
210 |
LILONGWE CITY |
301 |
MANGOCHI |
302 |
MACHINGA |
303 |
ZOMBA |
304 |
CHIRADZULU |
305 |
BLANYTYRE |
306 |
MWANZA |
307 |
THYOLO |
308 |
MULANJE |
309 |
PHALOMBE |
310 |
CHIKWAWA |
311 |
NSANJE |
312 |
BALAKA |
313 |
NENO |
314 |
ZOMBA CITY |
315 |
BLANTYRE CITY |
501 |
ANGOLA |
502 |
AUSTRALIA |
503 |
BOTSWANA |
504 |
CANADA |
505 |
CHINA |
506 |
LESOTHO |
507 |
MOZAMBIQUE |
508 |
NAMIBIA |
509 |
NEW ZEALAND |
510 |
SOUTH AFRICA |
511 |
SWAZILAND |
512 |
TANZANIA |
513 |
UNITED KINGDOM (UK) |
514 |
UNITED STATES OF AMERICA (USA) |
515 |
ZAMBIA |
516 |
ZIMBABWE |
517 |
OTHER COUNTRY(SPECIFY) |
Sysmiss |
|
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.