Enquêtes Lot Quality Assurance Sampling (LQAS) Niger 2015, 2016, 2017 et 2019 pour l'évaluation des activités de prévention de la malnutrition

Niger, 2015 - 2019

Ministère de la Santé Publique, Direction des Statistiques

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CSI (csi)

Data file: LQAS_Niger_2017

Overview

vald 1501

invd 0

Interval discrete

Decimal 0

Range 1 - 79

Questions and instructions

Categories

Value	Category	Cases
1	DAKORO	19	1.3%
2	INTUILA	19	1.3%
3	ALFORMA	19	1.3%
4	AMADOU	19	1.3%
5	KORNAKA	19	1.3%
6	LALEWA	19	1.3%
7	TSAKAWA	19	1.3%
8	DANJA	19	1.3%
9	DJIRATAWA	19	1.3%
10	GOULBAWA	19	1.3%
11	TCHIZON KOUREGUE	19	1.3%
12	TOFA	19	1.3%
13	GABI	19	1.3%
14	MARAKA	19	1.3%
15	ROUROUKA	19	1.3%
16	TCHIDAFAWA	19	1.3%
17	BAJA KOUYOKOUYO	19	1.3%
18	DAN KOULLOU	19	1.3%
19	GUIDAN AMOUMOUNE	19	1.3%
20	GUIDAN WARI	19	1.3%
21	MARAFAWA	19	1.3%
22	DAN BAOU	19	1.3%
23	MEKESSO	19	1.3%
24	TCHAKE	19	1.3%
25	GUIDAN TAWAYE	19	1.3%
26	KOREN HABJIA	19	1.3%
27	MAYAHI	19	1.3%
28	DAN AMARIA	19	1.3%
29	BAGAROUA	19	1.3%
30	CHANYASSOU	19	1.3%
31	DANDOUTCHI	19	1.3%
32	GOUGOIHEMA	19	1.3%
33	MANI ADA	19	1.3%
34	SAHIYA	19	1.3%
35	SAMIA	19	1.3%
36	FASKA	19	1.3%
37	TAJAE	19	1.3%
38	TARAYE	19	1.3%
39	ZORARÃ‰ CHAFFA	19	1.3%
40	BANGUI	19	1.3%
41	TAKORKA	19	1.3%
42	MANZOU	19	1.3%
43	OURNO	19	1.3%
44	BAMBEYE	19	1.3%
45	EDIR	19	1.3%
46	HADACHIMO	19	1.3%
47	INKARKADA	19	1.3%
48	MOGHEUR	19	1.3%
49	MOULLELA	19	1.3%
50	SAFARFARI	19	1.3%
51	GUIDAN MELI	19	1.3%
52	TEBARAM	19	1.3%
53	TOUDOUNI FARFAROU	19	1.3%
54	DAN GOUDAOU	19	1.3%
55	KANTCHE	19	1.3%
56	YAOURI	19	1.3%
57	GOMBA	19	1.3%
58	BABOULWA	19	1.3%
59	BAKIN BIRDJI	19	1.3%
60	FALENKO	19	1.3%
61	GAGAWA	19	1.3%
62	GUEZAWA	19	1.3%
63	OLLELEWA	19	1.3%
64	SABON KAFI	19	1.3%
65	AMAZAZZAGAN	19	1.3%
66	BATTÃ‰	19	1.3%
67	BELBÃ‰DJI	19	1.3%
68	CHANYÃ‰TA	19	1.3%
69	GANDOU	19	1.3%
70	GUIDAN ANGO	19	1.3%
71	INTABAOUT	19	1.3%
72	EGADÃ‰	19	1.3%
73	TAKALMAWA	19	1.3%
74	ATCIDAKOFATO	19	1.3%
75	DAWAKI	19	1.3%
76	DADJIN TSAKA	19	1.3%
77	BAGGA	19	1.3%
78	INKAFI BIRAWA	19	1.3%
79	KOLKOLI	19	1.3%

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.