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
375114
Documentation au format PDF
Métadonnées
DDI/XML
JSON
Supervision Area Name Entered as text (sa_text)
Data file: LQAS 2015_Mères d'enfants 0 - 5 mois
Overview
vald
1349
invd
0
Interval
discrete
Decimal
0
Range
1 - 192
Questions and instructions
Value | Category | Cases | |
---|---|---|---|
1 | .Bambeye | 1 |
0.1%
|
2 | .Kantche | 1 |
0.1%
|
3 | .Mafarawa | 1 |
0.1%
|
4 | .Safarfari | 1 |
0.1%
|
5 | 1 | 6 |
0.4%
|
6 | 2 | 9 |
0.7%
|
7 | 3 | 3 |
0.2%
|
8 | 4 | 1 |
0.1%
|
9 | 5 | 1 |
0.1%
|
10 | 9 | 1 |
0.1%
|
11 | Adrawa kassarawa | 1 |
0.1%
|
12 | Alakosse | 1 |
0.1%
|
13 | Alforma | 19 |
1.4%
|
14 | Almas | 1 |
0.1%
|
15 | Amadou | 17 |
1.3%
|
16 | Amazazagan | 19 |
1.4%
|
17 | Anadou | 1 |
0.1%
|
18 | Anini | 2 |
0.1%
|
19 | Azarori | 1 |
0.1%
|
20 | Baboulwa | 19 |
1.4%
|
21 | Bagarooua | 1 |
0.1%
|
22 | Bagaroua | 17 |
1.3%
|
23 | Bagroua | 1 |
0.1%
|
24 | Baja kouykouyo | 17 |
1.3%
|
25 | Baja kouyokouyo | 1 |
0.1%
|
26 | Baja Kouyokouyo | 1 |
0.1%
|
27 | Bakari | 1 |
0.1%
|
28 | Bakin biirgi | 1 |
0.1%
|
29 | Bakin birgi | 1 |
0.1%
|
30 | Bakin birji | 2 |
0.1%
|
31 | Bambeye | 18 |
1.3%
|
32 | Bangui | 19 |
1.4%
|
33 | Barague | 1 |
0.1%
|
34 | Batte | 18 |
1.3%
|
35 | Belbedji | 18 |
1.3%
|
36 | Belbrdji | 1 |
0.1%
|
37 | Bikaro1 | 1 |
0.1%
|
38 | Cdi urbain | 1 |
0.1%
|
39 | Changn?ta | 2 |
0.1%
|
40 | Changnéta | 17 |
1.3%
|
41 | Changnassou | 13 |
1%
|
42 | Chanyassou | 2 |
0.1%
|
43 | Chipkaou | 1 |
0.1%
|
44 | Csi | 4 |
0.3%
|
45 | Csi dabon kafi | 1 |
0.1%
|
46 | Csi mani ada | 19 |
1.4%
|
47 | Csi sabom kafi | 1 |
0.1%
|
48 | Csi sabon kafi | 15 |
1.1%
|
49 | Csi sabon ksfi | 1 |
0.1%
|
50 | Csi tajae | 19 |
1.4%
|
51 | Csi urbain | 17 |
1.3%
|
52 | Csi urbn | 1 |
0.1%
|
53 | Csi Zorare Chaffa | 11 |
0.8%
|
54 | CSI Zorare Chaffa | 5 |
0.4%
|
55 | Dague | 1 |
0.1%
|
56 | Dajin sodo | 2 |
0.1%
|
57 | Dakoro | 19 |
1.4%
|
58 | Dakwara | 1 |
0.1%
|
59 | Dan baou | 19 |
1.4%
|
60 | Dan goudaou | 19 |
1.4%
|
61 | Dan koullou | 19 |
1.4%
|
62 | Dandoutchi | 19 |
1.4%
|
63 | Danj garin issa | 1 |
0.1%
|
64 | Danja | 1 |
0.1%
|
65 | Danja dan charbaou | 4 |
0.3%
|
66 | Danja garin issa | 2 |
0.1%
|
67 | Djiiraatawa | 1 |
0.1%
|
68 | Djiraatawa | 1 |
0.1%
|
69 | Djiraatawaa | 1 |
0.1%
|
70 | Djirataawa | 1 |
0.1%
|
71 | Djiratawa | 14 |
1%
|
72 | Doche | 1 |
0.1%
|
73 | Dogon gao | 1 |
0.1%
|
74 | Dogon markee zongouna | 1 |
0.1%
|
75 | Echitchi | 1 |
0.1%
|
76 | Edir | 19 |
1.4%
|
77 | Egade | 12 |
0.9%
|
78 | Egade2 | 1 |
0.1%
|
79 | Eldaway | 1 |
0.1%
|
80 | Eldawey | 1 |
0.1%
|
81 | Falenko | 19 |
1.4%
|
82 | Falgo | 1 |
0.1%
|
83 | Fountou | 1 |
0.1%
|
84 | Fountoun | 1 |
0.1%
|
85 | Fountoun toudou | 2 |
0.1%
|
86 | Gabi | 19 |
1.4%
|
87 | Gagawa | 17 |
1.3%
|
88 | Galisso | 1 |
0.1%
|
89 | Gardi | 1 |
0.1%
|
90 | Garin dogo | 1 |
0.1%
|
91 | Garin dogo mai dache | 1 |
0.1%
|
92 | Garin makera douma | 1 |
0.1%
|
93 | Gavawa | 1 |
0.1%
|
94 | Gomba | 19 |
1.4%
|
95 | Gougouha | 1 |
0.1%
|
96 | Gougouhema | 18 |
1.3%
|
97 | Goulbawa | 19 |
1.4%
|
98 | Gudan melli | 1 |
0.1%
|
99 | Guegoua2 | 1 |
0.1%
|
100 | Guezawa | 19 |
1.4%
|
101 | Guidan Amoumoune | 17 |
1.3%
|
102 | Guidan Amounoune | 2 |
0.1%
|
103 | Guidan ango | 11 |
0.8%
|
104 | Guidan Ango | 6 |
0.4%
|
105 | Guidan bakay | 1 |
0.1%
|
106 | Guidan dadi | 1 |
0.1%
|
107 | Guidan melli | 18 |
1.3%
|
108 | Guidan tawaye | 19 |
1.4%
|
109 | Guidan wari | 19 |
1.4%
|
110 | Guidsn ango | 1 |
0.1%
|
111 | Hada chimo | 16 |
1.2%
|
112 | Hada chiom | 1 |
0.1%
|
113 | Hadachimo | 1 |
0.1%
|
114 | HadaChimo | 1 |
0.1%
|
115 | Haoukansara | 1 |
0.1%
|
116 | Igege | 2 |
0.1%
|
117 | Imtuila | 1 |
0.1%
|
118 | Indaji | 1 |
0.1%
|
119 | Inkarkada | 19 |
1.4%
|
120 | Intabanout | 18 |
1.3%
|
121 | Intsbanout | 1 |
0.1%
|
122 | Intuila | 18 |
1.3%
|
123 | Issohou tanko | 1 |
0.1%
|
124 | Jatawa | 1 |
0.1%
|
125 | Kaantche | 1 |
0.1%
|
126 | Kalgo | 2 |
0.1%
|
127 | Kaloli | 1 |
0.1%
|
128 | Kankare dogo | 1 |
0.1%
|
129 | Kantche | 17 |
1.3%
|
130 | Karaye | 19 |
1.4%
|
131 | Kassasawa | 1 |
0.1%
|
132 | Koderawa | 3 |
0.2%
|
133 | Koren habjia | 16 |
1.2%
|
134 | Koren hajia | 1 |
0.1%
|
135 | Koren hanjia | 1 |
0.1%
|
136 | Korin hanjia | 1 |
0.1%
|
137 | Kornaka | 19 |
1.4%
|
138 | Koukakame | 2 |
0.1%
|
139 | Kouna | 1 |
0.1%
|
140 | Lalewa | 19 |
1.4%
|
141 | Mafarawa | 18 |
1.3%
|
142 | Mai aya | 1 |
0.1%
|
143 | MAi gochi | 1 |
0.1%
|
144 | Mai zari | 1 |
0.1%
|
145 | Manxou | 1 |
0.1%
|
146 | Manya uku | 1 |
0.1%
|
147 | Manzou | 17 |
1.3%
|
148 | Manzzou | 1 |
0.1%
|
149 | Maraka | 17 |
1.3%
|
150 | Marska | 2 |
0.1%
|
151 | Mekesso | 3 |
0.2%
|
152 | Moctar | 1 |
0.1%
|
153 | Mogheur | 19 |
1.4%
|
154 | Moulela | 17 |
1.3%
|
155 | Ollelewa | 19 |
1.4%
|
156 | Ourno | 19 |
1.4%
|
157 | Radi magagi/gonao | 4 |
0.3%
|
158 | Rague gaya | 1 |
0.1%
|
159 | Rourouka | 18 |
1.3%
|
160 | Rourouka zaria | 1 |
0.1%
|
161 | Rouwan agouwa | 1 |
0.1%
|
162 | Sabon kafi | 1 |
0.1%
|
163 | Sadatou | 1 |
0.1%
|
164 | Safafari | 1 |
0.1%
|
165 | Safarfari | 17 |
1.3%
|
166 | Sakawa | 16 |
1.2%
|
167 | Sakawa toudou | 2 |
0.1%
|
168 | Samia | 19 |
1.4%
|
169 | Tabateka | 1 |
0.1%
|
170 | Takin kaya | 2 |
0.1%
|
171 | Takorka | 19 |
1.4%
|
172 | Tawalala | 1 |
0.1%
|
173 | Tchake | 19 |
1.4%
|
174 | Tchidafawa | 19 |
1.4%
|
175 | Tchinharouna | 1 |
0.1%
|
176 | Tchizon koregue | 1 |
0.1%
|
177 | Tchizon koureegue | 1 |
0.1%
|
178 | Tchizon kouregue | 16 |
1.2%
|
179 | Tebaram | 16 |
1.2%
|
180 | Tofa | 18 |
1.3%
|
181 | Tofs | 1 |
0.1%
|
182 | Toudouni farfarou | 18 |
1.3%
|
183 | Toudouni farfaru | 1 |
0.1%
|
184 | Tsakawa | 1 |
0.1%
|
185 | Tsamia andi | 5 |
0.4%
|
186 | Ttebarm | 1 |
0.1%
|
187 | Yaouri | 19 |
1.4%
|
188 | Zangounan allou | 1 |
0.1%
|
189 | Zarmou2 | 1 |
0.1%
|
190 | Zorare Chaffa | 2 |
0.1%
|
191 | Zourare chaffa | 20 |
1.5%
|
192 | 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.