| Value |
Category |
| 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.