Home / Central Data Catalog / MICS / KEN_2013_MICS-KC_V01_M / variable [F2]
MICS

Multiple Indicator Cluster Survey 2013-2014, Kakamega County

Kenya, 2013 - 2014
Get Microdata
Reference ID
KEN_2013_MICS-KC_v01_M
Producer(s)
Population Studies and Research Institute, Kenya National Bureau of Statistics
Collection(s)
UNICEF Multiple Indicator Cluster Surveys (MICS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 28, 2016
Last modified
Jul 28, 2016
Page views
42614
Downloads
5557

Age in days (CAGED)

Data file: ch

Overview

Valid: 806
Invalid: 22
Minimum: 1
Maximum: 9999
Type: Discrete
Decimal: 0
Start: 512
End: 515
Width: 4
Range: 1 - 9999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 1
0.1%
4 1
0.1%
7 1
0.1%
9 2
0.2%
10 2
0.2%
11 1
0.1%
16 1
0.1%
26 1
0.1%
27 1
0.1%
29 1
0.1%
30 1
0.1%
35 1
0.1%
38 1
0.1%
42 1
0.1%
45 1
0.1%
48 1
0.1%
50 1
0.1%
52 1
0.1%
55 1
0.1%
58 2
0.2%
59 1
0.1%
60 2
0.2%
62 2
0.2%
64 2
0.2%
66 1
0.1%
67 1
0.1%
69 1
0.1%
71 1
0.1%
75 1
0.1%
79 1
0.1%
80 1
0.1%
82 1
0.1%
89 1
0.1%
93 2
0.2%
97 3
0.4%
102 1
0.1%
103 1
0.1%
104 1
0.1%
106 1
0.1%
111 1
0.1%
114 1
0.1%
116 1
0.1%
120 1
0.1%
123 1
0.1%
127 1
0.1%
131 1
0.1%
133 1
0.1%
138 1
0.1%
139 2
0.2%
143 1
0.1%
144 1
0.1%
145 1
0.1%
147 1
0.1%
151 1
0.1%
156 1
0.1%
158 1
0.1%
162 1
0.1%
165 1
0.1%
171 1
0.1%
174 1
0.1%
177 1
0.1%
178 1
0.1%
179 1
0.1%
183 1
0.1%
187 1
0.1%
189 1
0.1%
195 1
0.1%
196 1
0.1%
198 2
0.2%
202 1
0.1%
203 1
0.1%
204 1
0.1%
207 1
0.1%
211 1
0.1%
214 1
0.1%
217 2
0.2%
218 1
0.1%
219 2
0.2%
220 1
0.1%
222 2
0.2%
223 1
0.1%
229 1
0.1%
234 1
0.1%
235 1
0.1%
236 1
0.1%
237 1
0.1%
241 1
0.1%
244 2
0.2%
246 1
0.1%
248 1
0.1%
249 1
0.1%
250 1
0.1%
253 1
0.1%
254 1
0.1%
256 1
0.1%
258 1
0.1%
259 1
0.1%
260 1
0.1%
267 1
0.1%
269 1
0.1%
270 1
0.1%
273 1
0.1%
276 1
0.1%
277 2
0.2%
279 1
0.1%
281 1
0.1%
282 1
0.1%
283 1
0.1%
284 1
0.1%
287 1
0.1%
288 1
0.1%
290 1
0.1%
291 1
0.1%
293 1
0.1%
303 1
0.1%
304 1
0.1%
306 1
0.1%
311 1
0.1%
318 1
0.1%
323 1
0.1%
324 2
0.2%
326 1
0.1%
327 1
0.1%
331 3
0.4%
332 1
0.1%
333 1
0.1%
340 2
0.2%
342 1
0.1%
347 1
0.1%
349 1
0.1%
357 1
0.1%
358 1
0.1%
361 1
0.1%
363 1
0.1%
365 1
0.1%
369 1
0.1%
384 1
0.1%
390 1
0.1%
392 2
0.2%
398 1
0.1%
402 1
0.1%
405 1
0.1%
406 3
0.4%
409 1
0.1%
410 1
0.1%
411 1
0.1%
416 2
0.2%
418 1
0.1%
420 2
0.2%
421 1
0.1%
423 1
0.1%
425 2
0.2%
428 1
0.1%
432 2
0.2%
439 1
0.1%
442 1
0.1%
445 1
0.1%
448 1
0.1%
451 1
0.1%
452 1
0.1%
453 1
0.1%
454 1
0.1%
455 1
0.1%
461 1
0.1%
464 1
0.1%
465 1
0.1%
469 1
0.1%
470 1
0.1%
474 1
0.1%
475 1
0.1%
478 1
0.1%
480 1
0.1%
481 1
0.1%
482 2
0.2%
483 1
0.1%
485 3
0.4%
490 1
0.1%
491 1
0.1%
498 1
0.1%
500 1
0.1%
502 1
0.1%
506 1
0.1%
507 1
0.1%
508 1
0.1%
510 1
0.1%
516 2
0.2%
520 1
0.1%
530 1
0.1%
531 1
0.1%
532 1
0.1%
536 1
0.1%
540 1
0.1%
541 1
0.1%
542 2
0.2%
550 2
0.2%
552 3
0.4%
554 1
0.1%
555 1
0.1%
559 1
0.1%
561 1
0.1%
564 1
0.1%
565 1
0.1%
569 1
0.1%
579 1
0.1%
580 2
0.2%
583 1
0.1%
584 1
0.1%
588 1
0.1%
591 1
0.1%
596 2
0.2%
598 1
0.1%
600 1
0.1%
602 1
0.1%
609 1
0.1%
611 2
0.2%
612 1
0.1%
614 2
0.2%
615 1
0.1%
617 1
0.1%
618 1
0.1%
623 1
0.1%
624 1
0.1%
629 1
0.1%
636 1
0.1%
638 1
0.1%
640 1
0.1%
644 1
0.1%
645 1
0.1%
648 1
0.1%
650 2
0.2%
651 2
0.2%
652 2
0.2%
654 1
0.1%
655 1
0.1%
656 1
0.1%
657 1
0.1%
668 1
0.1%
670 1
0.1%
671 1
0.1%
676 1
0.1%
678 2
0.2%
681 1
0.1%
683 1
0.1%
687 1
0.1%
688 1
0.1%
689 2
0.2%
690 1
0.1%
694 3
0.4%
697 1
0.1%
699 1
0.1%
701 2
0.2%
705 1
0.1%
708 1
0.1%
710 1
0.1%
712 1
0.1%
713 1
0.1%
714 2
0.2%
716 1
0.1%
717 1
0.1%
718 1
0.1%
723 2
0.2%
724 1
0.1%
725 2
0.2%
726 1
0.1%
729 1
0.1%
733 1
0.1%
735 1
0.1%
736 2
0.2%
737 1
0.1%
745 1
0.1%
746 1
0.1%
749 1
0.1%
752 1
0.1%
756 1
0.1%
757 2
0.2%
765 1
0.1%
766 1
0.1%
768 1
0.1%
771 1
0.1%
772 2
0.2%
774 1
0.1%
776 2
0.2%
779 1
0.1%
780 1
0.1%
782 1
0.1%
788 1
0.1%
789 1
0.1%
799 1
0.1%
800 2
0.2%
803 1
0.1%
805 1
0.1%
818 1
0.1%
820 1
0.1%
823 1
0.1%
824 1
0.1%
826 2
0.2%
831 1
0.1%
832 1
0.1%
833 1
0.1%
834 2
0.2%
837 1
0.1%
841 1
0.1%
842 2
0.2%
846 1
0.1%
847 1
0.1%
854 2
0.2%
855 1
0.1%
856 1
0.1%
858 1
0.1%
862 2
0.2%
866 1
0.1%
867 1
0.1%
870 1
0.1%
872 1
0.1%
875 3
0.4%
881 1
0.1%
883 1
0.1%
886 1
0.1%
887 1
0.1%
889 2
0.2%
890 1
0.1%
892 1
0.1%
894 1
0.1%
895 2
0.2%
898 1
0.1%
905 1
0.1%
908 2
0.2%
915 1
0.1%
916 1
0.1%
922 1
0.1%
923 1
0.1%
924 1
0.1%
926 1
0.1%
928 1
0.1%
929 1
0.1%
931 1
0.1%
934 1
0.1%
939 1
0.1%
946 1
0.1%
948 1
0.1%
949 1
0.1%
950 1
0.1%
954 1
0.1%
956 1
0.1%
958 1
0.1%
961 1
0.1%
966 1
0.1%
967 1
0.1%
970 1
0.1%
971 1
0.1%
973 1
0.1%
974 1
0.1%
977 1
0.1%
978 2
0.2%
979 1
0.1%
984 2
0.2%
986 1
0.1%
999 1
0.1%
1000 1
0.1%
1002 1
0.1%
1005 1
0.1%
1006 1
0.1%
1009 1
0.1%
1011 1
0.1%
1016 1
0.1%
1017 1
0.1%
1022 1
0.1%
1024 1
0.1%
1033 1
0.1%
1035 1
0.1%
1042 1
0.1%
1044 1
0.1%
1048 1
0.1%
1052 1
0.1%
1053 2
0.2%
1057 1
0.1%
1060 1
0.1%
1063 1
0.1%
1065 1
0.1%
1067 1
0.1%
1069 1
0.1%
1072 1
0.1%
1074 1
0.1%
1076 1
0.1%
1078 1
0.1%
1079 1
0.1%
1080 1
0.1%
1082 1
0.1%
1085 1
0.1%
1086 2
0.2%
1089 1
0.1%
1090 1
0.1%
1103 1
0.1%
1105 1
0.1%
1106 2
0.2%
1109 3
0.4%
1112 1
0.1%
1120 1
0.1%
1121 1
0.1%
1122 2
0.2%
1127 1
0.1%
1131 1
0.1%
1132 1
0.1%
1135 2
0.2%
1137 2
0.2%
1139 3
0.4%
1140 2
0.2%
1142 1
0.1%
1143 1
0.1%
1144 1
0.1%
1145 3
0.4%
1148 1
0.1%
1150 1
0.1%
1155 1
0.1%
1157 4
0.5%
1158 1
0.1%
1159 2
0.2%
1160 1
0.1%
1161 1
0.1%
1163 1
0.1%
1166 2
0.2%
1174 1
0.1%
1177 1
0.1%
1184 1
0.1%
1186 2
0.2%
1187 1
0.1%
1191 1
0.1%
1194 2
0.2%
1198 1
0.1%
1199 1
0.1%
1202 1
0.1%
1205 1
0.1%
1206 1
0.1%
1207 1
0.1%
1209 1
0.1%
1210 1
0.1%
1211 2
0.2%
1212 3
0.4%
1214 2
0.2%
1216 2
0.2%
1218 1
0.1%
1226 1
0.1%
1227 2
0.2%
1229 1
0.1%
1230 1
0.1%
1231 1
0.1%
1238 1
0.1%
1239 1
0.1%
1242 1
0.1%
1243 3
0.4%
1247 1
0.1%
1255 1
0.1%
1258 1
0.1%
1261 2
0.2%
1262 1
0.1%
1263 1
0.1%
1265 2
0.2%
1266 1
0.1%
1268 1
0.1%
1269 1
0.1%
1273 1
0.1%
1274 1
0.1%
1275 1
0.1%
1281 1
0.1%
1283 2
0.2%
1289 1
0.1%
1290 1
0.1%
1294 1
0.1%
1295 1
0.1%
1297 1
0.1%
1302 1
0.1%
1309 3
0.4%
1310 1
0.1%
1311 1
0.1%
1312 1
0.1%
1313 2
0.2%
1314 2
0.2%
1315 1
0.1%
1316 2
0.2%
1319 2
0.2%
1320 1
0.1%
1324 2
0.2%
1327 1
0.1%
1330 1
0.1%
1332 1
0.1%
1336 1
0.1%
1340 1
0.1%
1345 2
0.2%
1346 1
0.1%
1348 2
0.2%
1349 1
0.1%
1350 1
0.1%
1351 1
0.1%
1355 1
0.1%
1356 1
0.1%
1357 1
0.1%
1359 1
0.1%
1360 1
0.1%
1361 1
0.1%
1362 2
0.2%
1363 1
0.1%
1368 1
0.1%
1372 1
0.1%
1374 2
0.2%
1375 2
0.2%
1377 1
0.1%
1384 1
0.1%
1386 1
0.1%
1391 1
0.1%
1392 1
0.1%
1399 1
0.1%
1400 1
0.1%
1402 1
0.1%
1403 1
0.1%
1405 1
0.1%
1407 1
0.1%
1408 1
0.1%
1409 3
0.4%
1410 1
0.1%
1411 1
0.1%
1413 1
0.1%
1417 1
0.1%
1419 1
0.1%
1420 1
0.1%
1427 1
0.1%
1429 1
0.1%
1432 1
0.1%
1433 1
0.1%
1434 2
0.2%
1436 2
0.2%
1437 1
0.1%
1441 1
0.1%
1444 1
0.1%
1446 1
0.1%
1451 1
0.1%
1452 1
0.1%
1461 1
0.1%
1463 1
0.1%
1467 1
0.1%
1468 1
0.1%
1470 1
0.1%
1472 1
0.1%
1474 1
0.1%
1478 1
0.1%
1480 1
0.1%
1482 2
0.2%
1484 1
0.1%
1486 1
0.1%
1490 1
0.1%
1499 1
0.1%
1501 1
0.1%
1502 1
0.1%
1507 2
0.2%
1515 2
0.2%
1516 1
0.1%
1517 1
0.1%
1519 2
0.2%
1521 1
0.1%
1523 1
0.1%
1529 1
0.1%
1532 1
0.1%
1536 1
0.1%
1537 1
0.1%
1542 1
0.1%
1544 2
0.2%
1545 2
0.2%
1547 2
0.2%
1549 1
0.1%
1550 1
0.1%
1552 1
0.1%
1557 1
0.1%
1561 2
0.2%
1563 2
0.2%
1564 2
0.2%
1569 1
0.1%
1572 1
0.1%
1573 1
0.1%
1574 1
0.1%
1577 1
0.1%
1585 1
0.1%
1586 2
0.2%
1592 1
0.1%
1597 1
0.1%
1598 1
0.1%
1600 1
0.1%
1602 1
0.1%
1606 1
0.1%
1607 1
0.1%
1610 4
0.5%
1613 2
0.2%
1620 1
0.1%
1632 1
0.1%
1634 1
0.1%
1642 1
0.1%
1644 2
0.2%
1650 1
0.1%
1651 1
0.1%
1652 1
0.1%
1655 1
0.1%
1658 1
0.1%
1660 3
0.4%
1661 1
0.1%
1663 1
0.1%
1664 3
0.4%
1670 1
0.1%
1673 1
0.1%
1675 1
0.1%
1679 1
0.1%
1682 2
0.2%
1684 1
0.1%
1687 1
0.1%
1688 1
0.1%
1690 2
0.2%
1693 1
0.1%
1694 2
0.2%
1695 1
0.1%
1698 1
0.1%
1701 1
0.1%
1706 1
0.1%
1708 1
0.1%
1709 1
0.1%
1714 1
0.1%
1716 1
0.1%
1718 1
0.1%
1719 1
0.1%
1723 1
0.1%
1725 1
0.1%
1727 1
0.1%
1728 2
0.2%
1737 1
0.1%
1738 1
0.1%
1743 1
0.1%
1745 2
0.2%
1747 1
0.1%
1763 1
0.1%
1769 1
0.1%
1774 3
0.4%
1781 1
0.1%
1788 1
0.1%
1789 1
0.1%
1796 1
0.1%
1799 1
0.1%
1800 1
0.1%
1803 2
0.2%
1808 1
0.1%
1811 1
0.1%
1820 1
0.1%
1821 1
0.1%
1822 1
0.1%
1823 2
0.2%
1824 1
0.1%
9999 12
1.5%
Sysmiss 22
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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