Greater Eldoret Health and Development Survey (Round 1) 2004

Kenya, 2004

Markus Goldstein and Harsha Thirumurthy

CSV JSON

Household ID (asshhid)

Data file: assets_V

Overview

Valid: 5677

Invalid: 0

Minimum: 1

Maximum: 9694

Mean: 798.933

Standard deviation: 1144.965

Type: Discrete

Decimal: 0

Width: 4

Range: 1 - 9694

Format: Numeric

Questions and instructions

Literal question

Household ID

Categories

Value	Cases
1	7	0.1%
3	7	0.1%
4	7	0.1%
5	7	0.1%
6	7	0.1%
7	7	0.1%
8	7	0.1%
9	7	0.1%
10	7	0.1%
11	7	0.1%
12	7	0.1%
13	7	0.1%
14	7	0.1%
15	7	0.1%
16	7	0.1%
17	7	0.1%
18	7	0.1%
19	7	0.1%
20	7	0.1%
21	7	0.1%
22	7	0.1%
23	7	0.1%
24	7	0.1%
25	7	0.1%
26	7	0.1%
27	7	0.1%
28	7	0.1%
29	7	0.1%
30	7	0.1%
31	7	0.1%
32	7	0.1%
33	7	0.1%
34	7	0.1%
35	7	0.1%
38	7	0.1%
39	7	0.1%
41	7	0.1%
43	7	0.1%
44	7	0.1%
46	7	0.1%
47	7	0.1%
48	7	0.1%
49	7	0.1%
50	7	0.1%
53	7	0.1%
55	7	0.1%
56	7	0.1%
58	7	0.1%
60	7	0.1%
61	7	0.1%
62	7	0.1%
64	7	0.1%
65	7	0.1%
66	7	0.1%
67	7	0.1%
68	7	0.1%
69	7	0.1%
70	7	0.1%
73	7	0.1%
74	7	0.1%
75	7	0.1%
76	7	0.1%
77	7	0.1%
78	7	0.1%
79	7	0.1%
80	7	0.1%
82	7	0.1%
84	7	0.1%
89	7	0.1%
93	7	0.1%
94	7	0.1%
95	7	0.1%
97	7	0.1%
98	7	0.1%
99	7	0.1%
102	7	0.1%
103	7	0.1%
104	7	0.1%
106	7	0.1%
108	7	0.1%
109	7	0.1%
110	7	0.1%
111	7	0.1%
112	7	0.1%
113	7	0.1%
114	7	0.1%
115	7	0.1%
117	7	0.1%
120	7	0.1%
121	7	0.1%
123	7	0.1%
124	7	0.1%
125	7	0.1%
128	7	0.1%
150	7	0.1%
151	7	0.1%
152	7	0.1%
154	7	0.1%
155	7	0.1%
156	7	0.1%
158	7	0.1%
161	7	0.1%
162	7	0.1%
163	7	0.1%
164	7	0.1%
165	7	0.1%
166	7	0.1%
167	7	0.1%
168	7	0.1%
169	7	0.1%
170	7	0.1%
171	7	0.1%
172	7	0.1%
173	7	0.1%
174	7	0.1%
200	7	0.1%
201	7	0.1%
202	7	0.1%
203	7	0.1%
204	7	0.1%
205	7	0.1%
206	7	0.1%
207	7	0.1%
208	7	0.1%
209	7	0.1%
210	7	0.1%
211	7	0.1%
212	7	0.1%
213	7	0.1%
216	7	0.1%
217	7	0.1%
218	7	0.1%
219	7	0.1%
221	7	0.1%
222	7	0.1%
223	7	0.1%
250	7	0.1%
251	7	0.1%
252	7	0.1%
253	7	0.1%
254	7	0.1%
255	7	0.1%
256	7	0.1%
257	7	0.1%
258	7	0.1%
259	7	0.1%
260	7	0.1%
261	7	0.1%
262	7	0.1%
263	7	0.1%
264	7	0.1%
265	7	0.1%
266	7	0.1%
267	7	0.1%
268	7	0.1%
269	7	0.1%
273	7	0.1%
274	7	0.1%
275	7	0.1%
276	7	0.1%
277	7	0.1%
278	7	0.1%
279	7	0.1%
280	7	0.1%
281	7	0.1%
282	7	0.1%
300	7	0.1%
301	7	0.1%
302	7	0.1%
303	7	0.1%
304	7	0.1%
305	7	0.1%
306	7	0.1%
307	7	0.1%
309	7	0.1%
310	7	0.1%
311	7	0.1%
312	7	0.1%
313	7	0.1%
314	7	0.1%
315	7	0.1%
316	7	0.1%
317	7	0.1%
318	7	0.1%
350	7	0.1%
351	7	0.1%
352	7	0.1%
353	7	0.1%
354	7	0.1%
355	7	0.1%
356	7	0.1%
357	7	0.1%
358	7	0.1%
359	7	0.1%
360	7	0.1%
361	7	0.1%
362	7	0.1%
363	7	0.1%
364	7	0.1%
365	7	0.1%
366	7	0.1%
368	7	0.1%
369	7	0.1%
372	7	0.1%
400	7	0.1%
401	7	0.1%
402	7	0.1%
403	7	0.1%
404	7	0.1%
405	7	0.1%
406	7	0.1%
407	7	0.1%
409	7	0.1%
410	7	0.1%
411	7	0.1%
412	7	0.1%
415	7	0.1%
417	7	0.1%
418	7	0.1%
419	7	0.1%
420	7	0.1%
421	7	0.1%
422	7	0.1%
423	7	0.1%
424	7	0.1%
425	7	0.1%
426	7	0.1%
427	7	0.1%
428	7	0.1%
429	7	0.1%
430	7	0.1%
431	7	0.1%
434	7	0.1%
436	7	0.1%
438	7	0.1%
450	7	0.1%
451	7	0.1%
452	7	0.1%
453	7	0.1%
454	7	0.1%
455	7	0.1%
456	7	0.1%
457	7	0.1%
458	7	0.1%
459	7	0.1%
460	7	0.1%
461	7	0.1%
462	7	0.1%
463	7	0.1%
464	7	0.1%
465	7	0.1%
466	7	0.1%
467	7	0.1%
468	7	0.1%
469	7	0.1%
470	7	0.1%
473	7	0.1%
475	7	0.1%
476	7	0.1%
478	7	0.1%
479	7	0.1%
480	7	0.1%
481	7	0.1%
482	7	0.1%
483	7	0.1%
484	7	0.1%
485	7	0.1%
486	7	0.1%
487	7	0.1%
488	7	0.1%
489	7	0.1%
490	7	0.1%
500	7	0.1%
501	7	0.1%
502	7	0.1%
504	7	0.1%
505	7	0.1%
506	7	0.1%
507	7	0.1%
508	7	0.1%
509	7	0.1%
510	7	0.1%
511	7	0.1%
512	7	0.1%
513	7	0.1%
514	7	0.1%
515	7	0.1%
516	7	0.1%
518	7	0.1%
519	7	0.1%
520	7	0.1%
521	7	0.1%
522	7	0.1%
523	7	0.1%
524	7	0.1%
525	7	0.1%
526	7	0.1%
527	7	0.1%
528	7	0.1%
529	7	0.1%
530	7	0.1%
531	7	0.1%
532	7	0.1%
533	7	0.1%
534	7	0.1%
535	7	0.1%
537	7	0.1%
538	7	0.1%
539	7	0.1%
540	7	0.1%
541	7	0.1%
542	7	0.1%
543	7	0.1%
544	7	0.1%
545	7	0.1%
546	7	0.1%
547	7	0.1%
548	7	0.1%
549	7	0.1%
550	7	0.1%
551	7	0.1%
552	7	0.1%
554	7	0.1%
556	7	0.1%
557	7	0.1%
559	7	0.1%
560	7	0.1%
562	7	0.1%
563	7	0.1%
564	7	0.1%
565	7	0.1%
566	7	0.1%
568	7	0.1%
580	7	0.1%
581	7	0.1%
582	7	0.1%
585	7	0.1%
587	7	0.1%
588	7	0.1%
589	7	0.1%
590	7	0.1%
591	7	0.1%
593	7	0.1%
594	7	0.1%
595	7	0.1%
597	7	0.1%
598	7	0.1%
599	7	0.1%
600	7	0.1%
601	7	0.1%
602	7	0.1%
603	7	0.1%
604	7	0.1%
605	7	0.1%
606	7	0.1%
607	7	0.1%
608	7	0.1%
609	7	0.1%
610	7	0.1%
611	7	0.1%
612	7	0.1%
615	7	0.1%
616	7	0.1%
617	7	0.1%
618	7	0.1%
619	7	0.1%
620	7	0.1%
621	7	0.1%
622	7	0.1%
623	7	0.1%
624	7	0.1%
625	7	0.1%
626	7	0.1%
627	7	0.1%
628	7	0.1%
630	7	0.1%
631	7	0.1%
632	7	0.1%
633	7	0.1%
634	7	0.1%
635	7	0.1%
637	7	0.1%
639	7	0.1%
640	7	0.1%
652	7	0.1%
653	7	0.1%
656	7	0.1%
658	7	0.1%
660	7	0.1%
663	7	0.1%
665	7	0.1%
666	7	0.1%
667	7	0.1%
670	7	0.1%
671	7	0.1%
673	7	0.1%
674	7	0.1%
675	7	0.1%
676	7	0.1%
677	7	0.1%
678	7	0.1%
679	7	0.1%
680	7	0.1%
681	7	0.1%
682	7	0.1%
683	7	0.1%
686	7	0.1%
687	7	0.1%
688	7	0.1%
689	7	0.1%
690	7	0.1%
691	7	0.1%
692	7	0.1%
693	7	0.1%
694	7	0.1%
696	7	0.1%
697	7	0.1%
698	7	0.1%
699	7	0.1%
700	7	0.1%
701	7	0.1%
702	7	0.1%
703	7	0.1%
706	7	0.1%
707	7	0.1%
708	7	0.1%
709	7	0.1%
710	7	0.1%
711	7	0.1%
712	7	0.1%
715	7	0.1%
716	7	0.1%
717	7	0.1%
720	7	0.1%
721	7	0.1%
722	7	0.1%
723	7	0.1%
724	7	0.1%
725	7	0.1%
726	7	0.1%
727	7	0.1%
728	7	0.1%
730	7	0.1%
731	7	0.1%
732	7	0.1%
733	7	0.1%
735	7	0.1%
736	7	0.1%
737	7	0.1%
738	7	0.1%
739	7	0.1%
740	7	0.1%
741	7	0.1%
742	7	0.1%
746	7	0.1%
747	7	0.1%
748	7	0.1%
751	7	0.1%
752	7	0.1%
755	7	0.1%
757	7	0.1%
758	7	0.1%
764	7	0.1%
766	7	0.1%
775	7	0.1%
776	7	0.1%
779	7	0.1%
780	7	0.1%
781	7	0.1%
783	7	0.1%
784	7	0.1%
786	7	0.1%
787	7	0.1%
790	7	0.1%
791	7	0.1%
792	7	0.1%
793	7	0.1%
794	7	0.1%
800	7	0.1%
801	7	0.1%
802	7	0.1%
803	7	0.1%
804	7	0.1%
805	7	0.1%
806	7	0.1%
807	7	0.1%
808	7	0.1%
809	7	0.1%
810	7	0.1%
811	7	0.1%
812	7	0.1%
813	7	0.1%
814	7	0.1%
815	7	0.1%
816	7	0.1%
817	7	0.1%
818	7	0.1%
819	7	0.1%
820	7	0.1%
821	7	0.1%
822	7	0.1%
823	7	0.1%
824	7	0.1%
825	7	0.1%
826	7	0.1%
827	7	0.1%
828	7	0.1%
829	7	0.1%
830	7	0.1%
831	7	0.1%
832	7	0.1%
833	7	0.1%
834	7	0.1%
835	7	0.1%
836	7	0.1%
837	7	0.1%
838	7	0.1%
839	7	0.1%
840	7	0.1%
841	7	0.1%
842	7	0.1%
843	7	0.1%
844	7	0.1%
845	7	0.1%
846	7	0.1%
847	7	0.1%
848	7	0.1%
849	7	0.1%
850	7	0.1%
851	7	0.1%
852	7	0.1%
853	7	0.1%
854	7	0.1%
855	7	0.1%
856	7	0.1%
900	7	0.1%
901	7	0.1%
902	7	0.1%
903	7	0.1%
904	7	0.1%
905	7	0.1%
906	7	0.1%
907	7	0.1%
908	7	0.1%
909	7	0.1%
911	7	0.1%
912	7	0.1%
913	7	0.1%
914	7	0.1%
915	7	0.1%
916	7	0.1%
917	7	0.1%
918	7	0.1%
919	7	0.1%
920	7	0.1%
921	7	0.1%
922	7	0.1%
923	7	0.1%
924	7	0.1%
925	7	0.1%
926	7	0.1%
927	7	0.1%
928	7	0.1%
929	7	0.1%
930	7	0.1%
931	7	0.1%
932	7	0.1%
933	7	0.1%
934	7	0.1%
935	7	0.1%
936	7	0.1%
937	7	0.1%
938	7	0.1%
939	7	0.1%
940	7	0.1%
941	7	0.1%
942	7	0.1%
943	7	0.1%
944	7	0.1%
945	7	0.1%
946	7	0.1%
947	7	0.1%
948	7	0.1%
949	7	0.1%
950	7	0.1%
951	7	0.1%
952	7	0.1%
953	7	0.1%
954	7	0.1%
955	7	0.1%
956	7	0.1%
957	7	0.1%
958	7	0.1%
959	7	0.1%
960	7	0.1%
961	7	0.1%
962	7	0.1%
963	7	0.1%
964	7	0.1%
965	7	0.1%
966	7	0.1%
967	7	0.1%
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969	7	0.1%
970	7	0.1%
971	7	0.1%
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975	7	0.1%
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978	7	0.1%
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980	7	0.1%
982	7	0.1%
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987	7	0.1%
988	7	0.1%
989	7	0.1%
990	7	0.1%
991	7	0.1%
992	7	0.1%
993	7	0.1%
994	7	0.1%
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996	7	0.1%
997	7	0.1%
998	7	0.1%
999	7	0.1%
1000	7	0.1%
1001	7	0.1%
1002	7	0.1%
1003	7	0.1%
1004	7	0.1%
1005	7	0.1%
1006	7	0.1%
1007	7	0.1%
1008	7	0.1%
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1010	7	0.1%
1011	7	0.1%
1012	7	0.1%
1013	7	0.1%
1014	7	0.1%
1015	7	0.1%
1016	7	0.1%
1017	7	0.1%
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1020	7	0.1%
1021	7	0.1%
1022	7	0.1%
1023	7	0.1%
1024	7	0.1%
1025	7	0.1%
1026	7	0.1%
1027	7	0.1%
1028	7	0.1%
1029	7	0.1%
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1100	7	0.1%
1101	7	0.1%
1102	7	0.1%
1104	7	0.1%
1105	7	0.1%
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1111	7	0.1%
1113	7	0.1%
1114	7	0.1%
1115	7	0.1%
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1120	7	0.1%
1121	7	0.1%
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1123	7	0.1%
1124	7	0.1%
1125	7	0.1%
1126	7	0.1%
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1130	7	0.1%
1131	7	0.1%
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1200	7	0.1%
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1214	7	0.1%
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1225	7	0.1%
1227	7	0.1%
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1234	7	0.1%
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1264	7	0.1%
1265	7	0.1%
1266	7	0.1%
1269	7	0.1%
1270	7	0.1%
1271	7	0.1%
1272	7	0.1%
1273	7	0.1%
1274	7	0.1%
1275	7	0.1%
1276	7	0.1%
1277	7	0.1%
1278	7	0.1%
1279	7	0.1%
1280	7	0.1%
1281	7	0.1%
1282	7	0.1%
1283	7	0.1%
1284	7	0.1%
1285	7	0.1%
9012	7	0.1%
9019	7	0.1%
9043	7	0.1%
9134	7	0.1%
9166	7	0.1%
9210	7	0.1%
9225	7	0.1%
9240	7	0.1%
9265	7	0.1%
9518	7	0.1%
9616	7	0.1%
9653	7	0.1%
9694	7	0.1%

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.