Cameroun - ENQUETE DE BASE EN VUE DE L’EVALUATION DE L’IMPACT CONJOINT DU PROJET FILETS SOCIAUX ET DU PROJET DE RENFORCEMENT DE LA PERFORMANCE DU SYSTEME DE SANTE AU CAMEROUN 2017

ID de référence

CMR-INS-EESR-2017-V1.0

Année

2017

Pays

Cameroun

Producteur(s)

Institut National de la Statistique - MINEPAT

Bailleur(s)

Ministère de l'Economie, de la Planification et de l'Aménagement du Térritoire - MINEPAT - Financier
Banque Mondiale - BM - Financier

Créé le

Apr 04, 2019

Dernière modification

Apr 04, 2019

Affichage par page

296645

Estimation des pertes dues : Aux inondations/tornades (S09Q26A)
Fichier: EESR2018MEN

Aperçu

Type: Discrète
Format: numeric
Largeur: 8
Décimales: 0
Intervalle: 1000-99999998

Enregistrements valides: 1375
Invalide: 5425
Minimum: 1000
Maximum: 99999998

Catégories

Valeur	Catégorie	Enregistrements
1000		2	0.1%
1300		1	0.1%
1400		1	0.1%
1500		2	0.1%
1600		1	0.1%
1900		1	0.1%
2000		9	0.7%
2025		1	0.1%
2250		1	0.1%
2300		1	0.1%
2500		1	0.1%
3000		4	0.3%
3500		1	0.1%
4000		3	0.2%
4250		1	0.1%
4500		2	0.1%
5000		30	2.2%
5400		1	0.1%
6000		7	0.5%
6500		1	0.1%
7000		5	0.4%
7500		3	0.2%
8000		5	0.4%
8200		1	0.1%
8500		3	0.2%
9000		6	0.4%
10000		35	2.5%
10800		1	0.1%
11000		1	0.1%
11500		1	0.1%
12000		17	1.2%
12500		2	0.1%
12900		1	0.1%
13000		3	0.2%
13500		1	0.1%
14000		4	0.3%
14100		1	0.1%
15000		37	2.7%
16000		10	0.7%
17000		5	0.4%
18000		9	0.7%
19000		2	0.1%
19500		1	0.1%
20000		58	4.2%
21000		2	0.1%
22000		7	0.5%
23000		2	0.1%
24000		9	0.7%
25000		35	2.5%
26000		9	0.7%
27000		1	0.1%
28000		4	0.3%
29000		1	0.1%
30000		85	6.2%
31000		1	0.1%
32000		3	0.2%
33000		2	0.1%
34000		6	0.4%
34500		1	0.1%
35000		22	1.6%
35400		1	0.1%
36000		12	0.9%
37000		2	0.1%
37500		1	0.1%
39000		6	0.4%
40000		49	3.6%
40500		1	0.1%
41000		1	0.1%
42000		8	0.6%
42500		1	0.1%
44000		2	0.1%
45000		27	2.0%
46000		3	0.2%
47000		1	0.1%
48000		5	0.4%
50000		111	8.1%
50100		1	0.1%
51000		5	0.4%
52000		2	0.1%
52500		1	0.1%
54000		8	0.6%
54500		1	0.1%
55000		11	0.8%
56000		3	0.2%
56700		1	0.1%
57500		1	0.1%
58000		2	0.1%
60000		52	3.8%
62000		2	0.1%
63000		1	0.1%
64000		3	0.2%
65000		7	0.5%
66000		2	0.1%
67000		2	0.1%
68000		5	0.4%
70000		23	1.7%
71000		1	0.1%
72000		7	0.5%
73000		1	0.1%
74000		2	0.1%
75000		16	1.2%
77000		1	0.1%
78000		3	0.2%
80000		46	3.3%
81000		2	0.1%
84000		3	0.2%
85000		7	0.5%
87500		1	0.1%
90000		21	1.5%
91000		3	0.2%
95000		2	0.1%
96000		11	0.8%
98000		2	0.1%
99000		1	0.1%
100000		67	4.9%
102000		3	0.2%
104000		2	0.1%
105000		1	0.1%
108000		4	0.3%
110000		7	0.5%
111000		1	0.1%
112500		3	0.2%
115000		1	0.1%
117000		2	0.1%
119000		1	0.1%
120000		28	2.0%
122000		1	0.1%
125000		6	0.4%
126500		1	0.1%
128000		1	0.1%
130000		5	0.4%
132000		1	0.1%
135000		5	0.4%
136000		1	0.1%
138000		2	0.1%
140000		7	0.5%
144000		3	0.2%
145000		1	0.1%
150000		50	3.6%
154000		1	0.1%
160000		8	0.6%
161000		1	0.1%
165000		3	0.2%
170000		2	0.1%
171000		2	0.1%
175000		2	0.1%
176000		1	0.1%
179000		1	0.1%
180000		11	0.8%
182000		2	0.1%
184000		1	0.1%
187500		1	0.1%
190000		3	0.2%
192000		1	0.1%
196000		1	0.1%
200000		33	2.4%
204000		2	0.1%
207000		1	0.1%
210000		3	0.2%
220000		1	0.1%
224000		1	0.1%
225000		7	0.5%
228000		2	0.1%
229000		1	0.1%
230000		3	0.2%
238000		1	0.1%
240000		6	0.4%
243000		1	0.1%
250000		13	0.9%
252000		2	0.1%
255000		1	0.1%
256000		1	0.1%
260000		3	0.2%
262500		1	0.1%
270000		2	0.1%
272000		1	0.1%
274500		1	0.1%
275000		1	0.1%
275500		1	0.1%
280000		1	0.1%
285000		1	0.1%
290000		2	0.1%
294000		1	0.1%
300000		14	1.0%
310000		2	0.1%
312000		3	0.2%
315000		2	0.1%
320000		1	0.1%
330000		2	0.1%
335000		1	0.1%
336000		2	0.1%
340000		1	0.1%
348000		1	0.1%
350000		5	0.4%
360000		2	0.1%
375000		1	0.1%
390000		1	0.1%
400000		3	0.2%
420000		2	0.1%
440000		1	0.1%
450000		3	0.2%
480000		2	0.1%
490000		1	0.1%
500000		5	0.4%
550000		1	0.1%
600000		1	0.1%
672000		1	0.1%
690000		1	0.1%
750000		2	0.1%
800000		1	0.1%
840000		1	0.1%
1000000		1	0.1%
2000000		1	0.1%
4430000		1	0.1%
99999998	NSP	3	0.2%
Sysmiss		5425

Avertissement: ces statistiques indiquent le nombre d'enregistrements trouvés dans les fichiers de données, et non des nombres pondérés. Ils ne peuvent pas être interpretés comme étant représentatifs de la population concernée.