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
Dernière modification
December 11, 2020
Affichage par page
374861
Documentation au format PDF
Métadonnées
DDI/XML
JSON
Supervision Area Name Entered as text (sa_text)
Data file: LQAS 2015_Mères d'enfants 6 - 23 mois
Overview
vald
1347
invd
0
Interval
discrete
Decimal
0
Range
1 - 190
Questions and instructions
Value | Category | Cases | |
---|---|---|---|
1 | .Dan baou | 1 |
0.1%
|
2 | .Maraka | 1 |
0.1%
|
3 | .Mekesso | 1 |
0.1%
|
4 | .Rourouka | 1 |
0.1%
|
5 | 1 | 6 |
0.4%
|
6 | 11 | 1 |
0.1%
|
7 | 2 | 6 |
0.4%
|
8 | 3 | 6 |
0.4%
|
9 | 4 | 1 |
0.1%
|
10 | 5 | 1 |
0.1%
|
11 | 7 | 1 |
0.1%
|
12 | Adrawa kassarawa | 1 |
0.1%
|
13 | Alakosse | 1 |
0.1%
|
14 | Alforma | 19 |
1.4%
|
15 | Almas | 1 |
0.1%
|
16 | Amaazazagaan | 1 |
0.1%
|
17 | Amadou | 19 |
1.4%
|
18 | Amazazagaan | 1 |
0.1%
|
19 | Amazazagan | 17 |
1.3%
|
20 | Anini | 2 |
0.1%
|
21 | Azarori | 1 |
0.1%
|
22 | B | 1 |
0.1%
|
23 | Baboulwa | 18 |
1.3%
|
24 | Bagaroua | 19 |
1.4%
|
25 | Baja kouykouyo | 19 |
1.4%
|
26 | Bakari | 1 |
0.1%
|
27 | Bakin birji | 4 |
0.3%
|
28 | Bambeye | 19 |
1.4%
|
29 | Bangui | 19 |
1.4%
|
30 | Banoulwa | 1 |
0.1%
|
31 | Barague | 1 |
0.1%
|
32 | Batte | 18 |
1.3%
|
33 | Belbedji | 18 |
1.3%
|
34 | Belbrdji | 1 |
0.1%
|
35 | Changn?ta | 3 |
0.2%
|
36 | Changnéta | 16 |
1.2%
|
37 | Changnassou | 13 |
1%
|
38 | Chanyassou | 2 |
0.1%
|
39 | Chipkaou | 1 |
0.1%
|
40 | Csi | 4 |
0.3%
|
41 | Csi dabon kafi | 1 |
0.1%
|
42 | Csi mani ada | 19 |
1.4%
|
43 | Csi mayahi | 1 |
0.1%
|
44 | Csi sabon kaf | 1 |
0.1%
|
45 | Csi sabon kafi | 12 |
0.9%
|
46 | Csi sabon lafi | 1 |
0.1%
|
47 | Csi ssbon kafo | 1 |
0.1%
|
48 | Csi tajae | 19 |
1.4%
|
49 | Csi urbain | 14 |
1%
|
50 | Csi urbaine | 1 |
0.1%
|
51 | Csi urbn | 1 |
0.1%
|
52 | Csi Zorare | 1 |
0.1%
|
53 | Csi Zorare Chaffa | 9 |
0.7%
|
54 | CSI Zorare Chaffa | 7 |
0.5%
|
55 | Csiurbain | 1 |
0.1%
|
56 | Dague | 1 |
0.1%
|
57 | Dajin sodo | 2 |
0.1%
|
58 | Dakoro | 19 |
1.4%
|
59 | Dakwara | 1 |
0.1%
|
60 | Dan baou | 18 |
1.3%
|
61 | Dan goudaou | 19 |
1.4%
|
62 | Dan koullou | 19 |
1.4%
|
63 | Dandoutchi | 19 |
1.4%
|
64 | Danja | 2 |
0.1%
|
65 | Danja dan charbaou | 4 |
0.3%
|
66 | Danja garin issa | 2 |
0.1%
|
67 | Djiiraatawa | 1 |
0.1%
|
68 | Djiratawa | 14 |
1%
|
69 | Djiratawa kassarawa | 1 |
0.1%
|
70 | Djiratawaa | 1 |
0.1%
|
71 | Dogon gao | 1 |
0.1%
|
72 | Dogon marke zangouna | 1 |
0.1%
|
73 | Echitchi | 1 |
0.1%
|
74 | Edir | 19 |
1.4%
|
75 | Egade | 11 |
0.8%
|
76 | Egade2 | 2 |
0.1%
|
77 | Eldaway | 2 |
0.1%
|
78 | Falenko | 19 |
1.4%
|
79 | Falgo | 1 |
0.1%
|
80 | Fountou | 1 |
0.1%
|
81 | Fountoun | 1 |
0.1%
|
82 | Fountoun toudou | 2 |
0.1%
|
83 | Gabi | 19 |
1.4%
|
84 | Gagawa | 18 |
1.3%
|
85 | Galisso | 1 |
0.1%
|
86 | Gardi | 1 |
0.1%
|
87 | Garin dogo | 1 |
0.1%
|
88 | Garin dogo mai dache | 1 |
0.1%
|
89 | Garin makera douma | 1 |
0.1%
|
90 | Giudan Amoumoune | 1 |
0.1%
|
91 | Gomba | 19 |
1.4%
|
92 | Gougouhema | 18 |
1.3%
|
93 | Gougouhrma | 1 |
0.1%
|
94 | Goulbawa | 19 |
1.4%
|
95 | Guegouwa2 | 1 |
0.1%
|
96 | Guezawa | 19 |
1.4%
|
97 | Guidan | 1 |
0.1%
|
98 | Guidan Amoumoune | 16 |
1.2%
|
99 | Guidan Amounoune | 1 |
0.1%
|
100 | Guidan ango | 11 |
0.8%
|
101 | Guidan Ango | 7 |
0.5%
|
102 | Guidan bakaye | 1 |
0.1%
|
103 | Guidan melli | 18 |
1.3%
|
104 | Guidan mellli | 1 |
0.1%
|
105 | Guidan tawaye | 19 |
1.4%
|
106 | Guidan wari | 17 |
1.3%
|
107 | Guindan wari | 1 |
0.1%
|
108 | Guirdi | 1 |
0.1%
|
109 | Hada chimo | 18 |
1.3%
|
110 | Hads chimo | 1 |
0.1%
|
111 | Igege | 2 |
0.1%
|
112 | Ikarkada | 1 |
0.1%
|
113 | Indaji | 1 |
0.1%
|
114 | Inkarkada | 17 |
1.3%
|
115 | Inmarkada | 1 |
0.1%
|
116 | Intabanout | 19 |
1.4%
|
117 | Intuila | 18 |
1.3%
|
118 | Intwila | 1 |
0.1%
|
119 | Issoufou tanko | 1 |
0.1%
|
120 | Issouhou tanko | 1 |
0.1%
|
121 | Jatasa | 1 |
0.1%
|
122 | Kalgo | 2 |
0.1%
|
123 | Kaloli | 1 |
0.1%
|
124 | Kankaren dogo | 1 |
0.1%
|
125 | Kantche | 19 |
1.4%
|
126 | Karaye | 19 |
1.4%
|
127 | Kassawa | 1 |
0.1%
|
128 | Koderawa | 3 |
0.2%
|
129 | Koren habjia | 19 |
1.4%
|
130 | Kornaka | 19 |
1.4%
|
131 | Koukakame | 1 |
0.1%
|
132 | Lalewa | 19 |
1.4%
|
133 | Mafarawa | 19 |
1.4%
|
134 | Mai aya | 1 |
0.1%
|
135 | Mai gochi | 1 |
0.1%
|
136 | Mai zari | 1 |
0.1%
|
137 | Manya uku | 1 |
0.1%
|
138 | Manzoi | 1 |
0.1%
|
139 | Manzou | 18 |
1.3%
|
140 | Maraka | 15 |
1.1%
|
141 | MarakA | 2 |
0.1%
|
142 | Maraks | 1 |
0.1%
|
143 | Matafa | 1 |
0.1%
|
144 | Mekesso | 2 |
0.1%
|
145 | Moctar | 2 |
0.1%
|
146 | Mogheur | 19 |
1.4%
|
147 | Moulela | 17 |
1.3%
|
148 | Ollelewa | 18 |
1.3%
|
149 | Ollelwa | 1 |
0.1%
|
150 | Ourno | 19 |
1.4%
|
151 | Radi magagi/gonao | 4 |
0.3%
|
152 | Rague gaya | 1 |
0.1%
|
153 | Rouga tsahirou | 1 |
0.1%
|
154 | Rourouk | 1 |
0.1%
|
155 | Rourouka | 16 |
1.2%
|
156 | Rourouka zaria | 1 |
0.1%
|
157 | Sabon kafi | 1 |
0.1%
|
158 | Safarfari | 19 |
1.4%
|
159 | Sakawa | 18 |
1.3%
|
160 | Sakawa toudou | 1 |
0.1%
|
161 | Salhouhoua | 1 |
0.1%
|
162 | Samia | 19 |
1.4%
|
163 | Ssbon kafi | 1 |
0.1%
|
164 | Tabateka | 1 |
0.1%
|
165 | Takin kaya | 1 |
0.1%
|
166 | Takorka | 19 |
1.4%
|
167 | Tawalala | 1 |
0.1%
|
168 | Tchìzon kouregue | 1 |
0.1%
|
169 | Tchake | 19 |
1.4%
|
170 | Tchidafawa | 19 |
1.4%
|
171 | Tchinharouna | 1 |
0.1%
|
172 | Tchizon kouregue | 17 |
1.3%
|
173 | Tchizon.kouregue | 1 |
0.1%
|
174 | Tebaraam | 1 |
0.1%
|
175 | Tebaram | 16 |
1.2%
|
176 | Terbaram | 1 |
0.1%
|
177 | Tofa | 18 |
1.3%
|
178 | Tofo | 1 |
0.1%
|
179 | Toudouni farfarou | 19 |
1.4%
|
180 | Tsamia and | 1 |
0.1%
|
181 | Tsamia andi | 4 |
0.3%
|
182 | Vsi dabon kafi8 | 1 |
0.1%
|
183 | Yaouri | 19 |
1.4%
|
184 | Zangounan allou | 1 |
0.1%
|
185 | Zeinab | 1 |
0.1%
|
186 | Zorare Chaffa | 1 |
0.1%
|
187 | Zourare chafa | 1 |
0.1%
|
188 | Zourare chaffa | 17 |
1.3%
|
189 | Zourare chaffaa | 1 |
0.1%
|
190 | Zourewa | 1 |
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.