Financial Inclusion Insights Survey 2014

Rwanda, 2014 - 2015

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Reference ID

RWA_2014_FII_v01_M_v01_A_PUF

DOI

https://doi.org/10.48529/42af-y748

Producer(s)

InterMedia

Metadata

Documentation in PDF DDI/XML JSON

Created on

Nov 21, 2016

Last modified

Nov 30, 2016

Page views

59079

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AA3.County (AA3)

Data file: final_cgap_rwanda_im_v2

Overview

Valid: 2003

Invalid: 0

Type: Discrete

Decimal: 0

Start: 8

End: 10

Width: 3

Range: 1 - 182

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Boneza	10	0.5%
2	Bugarama	10	0.5%
3	Bugeshi	10	0.5%
4	Bukure	10	0.5%
5	Busanze	10	0.5%
6	Busasamana	20	1%
7	Bushekeri	10	0.5%
8	Bushoki	10	0.5%
9	Butaro	10	0.5%
10	Bweyeye	10	0.5%
11	Bwishyura	10	0.5%
12	Byimana	10	0.5%
13	Coko	10	0.5%
14	Cyabakamyi	10	0.5%
15	Cyanika	20	1%
16	Cyanzarwe	10	0.5%
17	Cyato	10	0.5%
18	Cyeza	10	0.5%
19	Cyumba	10	0.5%
20	Cyuve	10	0.5%
21	Fumbwe	10	0.5%
22	Gahara	10	0.5%
23	Gashenyi	10	0.5%
24	Gataraga	10	0.5%
25	Gatebe	10	0.5%
26	Gatenga	10	0.5%
27	Gatore	10	0.5%
28	Gatsata	10	0.5%
29	Gatsibo	10	0.5%
30	Gatumba	10	0.5%
31	Giheke	10	0.5%
32	Gisenyi	10	0.5%
33	Gishali	10	0.5%
34	Gishubi	10	0.5%
35	Gisozi	10	0.5%
36	Gitambi	10	0.5%
37	Gitega	10	0.5%
38	Gitesi	10	0.5%
39	Jabana	10	0.5%
40	Jenda	20	1%
41	Juru	10	0.5%
42	Kabare	10	0.5%
43	Kabarondo	10	0.5%
44	Kabarore	10	0.5%
45	Kabatwa	10	0.5%
46	Kabaya	10	0.5%
47	Kacyiru	10	0.5%
48	Kaduha	10	0.5%
49	Kagano	10	0.5%
50	Kagarama	10	0.5%
51	Kageyo	20	1%
52	Kaniga	10	0.5%
53	Kanombe	10	0.5%
54	Kanyinya	10	0.5%
55	Kanzenze	10	0.5%
56	Karama	20	1%
57	Karambi	10	0.5%
58	Karambo	10	0.5%
59	Karangazi	10	0.5%
60	Karembo	10	0.5%
61	Kavumu	10	0.5%
62	Kayenzi	10	0.5%
63	Kibangu	10	0.5%
64	Kibirizi	20	1%
65	Kibungo	10	0.5%
66	Kigarama	10	0.5%
67	Kigina	10	0.5%
68	Kigoma	10	0.5%
69	Kimiromko	10	0.5%
70	Kimisagara	10	0.5%
71	Kinazi	20	1%
72	Kinigi	10	0.5%
73	Kinihira	30	1.5%
74	Kinoni	10	0.5%
75	Kinyinya	11	0.5%
76	Kirimbi	10	0.5%
77	Kivu	10	0.5%
78	Kivumu	10	0.5%
79	Kiyombe	10	0.5%
80	Kiziguro	10	0.5%
81	Mageragere	10	0.5%
82	Mahembe	10	0.5%
83	Mamba	10	0.5%
84	Mayange	10	0.5%
85	Mbazi	10	0.5%
86	Mbogo	10	0.5%
87	Mimuri	10	0.5%
88	Mpanga	10	0.5%
89	Mugano	10	0.5%
90	Mugina	10	0.5%
91	Mugombwa	10	0.5%
92	Mugunga	10	0.5%
93	Muhanda	10	0.5%
94	Muhanga	10	0.5%
95	Muhazi	10	0.5%
96	Muhoza	10	0.5%
97	Mukamira	10	0.5%
98	Mukarange	20	1%
99	Mukingo	10	0.5%
100	Mukura	10	0.5%
101	Munini	10	0.5%
102	Murambi	20	1%
103	Murundi	10	0.5%
104	Mururu	10	0.5%
105	Musanze	10	0.5%
106	Musasa	10	0.5%
107	Musaza	10	0.5%
108	Musebeya	10	0.5%
109	Musenyi	10	0.5%
110	Musha	20	1%
111	Musheri	10	0.5%
112	Mushubati	10	0.5%
113	Mutenderi	10	0.5%
114	Mutuntu	10	0.5%
115	Muyira	10	0.5%
116	Muzo	10	0.5%
117	Mwendo	10	0.5%
118	Mwulire	10	0.5%
119	Nasho	10	0.5%
120	Ndaro	10	0.5%
121	Ndera	20	1%
122	Nemba	10	0.5%
123	Ngoma	10	0.5%
124	Niboye	10	0.5%
125	Nkotsi	10	0.5%
126	Nkungu	10	0.5%
127	Ntarabana	10	0.5%
128	Ntarama	10	0.5%
129	Ntongwe	10	0.5%
130	Nyabimata	10	0.5%
131	Nyagatare	10	0.5%
132	Nyagihanga	10	0.5%
133	Nyagisozi	10	0.5%
134	Nyakabanda	11	0.5%
135	Nyakarenzo	10	0.5%
136	Nyakiriba	20	1%
137	Nyamabuye	20	1%
138	Nyamirama	10	0.5%
139	Nyamiyaga	20	1%
140	Nyanza	10	0.5%
141	Nyarubaka	10	0.5%
142	Nyarubuye	10	0.5%
143	Nyarugenge	21	1%
144	Nyundo	10	0.5%
145	Rambura	10	0.5%
146	Rangiro	10	0.5%
147	Remera	10	0.5%
148	Rongi	10	0.5%
149	Rubavu	10	0.5%
150	Rubona	10	0.5%
151	Rugabano	10	0.5%
152	Rugarama	10	0.5%
153	Ruhango	10	0.5%
154	Ruheru	10	0.5%
155	Ruhunde	10	0.5%
156	Rukara	10	0.5%
157	Rukira	20	1%
158	Rukoma	10	0.5%
159	Rukomo	20	1%
160	Runda	10	0.5%
161	Rurenge	10	0.5%
162	Rusasa	10	0.5%
163	Rusatira	10	0.5%
164	Rusenge	10	0.5%
165	Rutunga	10	0.5%
166	Ruvune	10	0.5%
167	Rwankuba	10	0.5%
168	Rwaza	10	0.5%
169	Rweru	10	0.5%
170	Rwimbogo	10	0.5%
171	Rwimiyaga	10	0.5%
172	Shangi	10	0.5%
173	Shyira	10	0.5%
174	Shyogwe	10	0.5%
175	Simbi	10	0.5%
176	Sovu	10	0.5%
177	Tabagwe	10	0.5%
178	Tare	10	0.5%
179	Tumba	10	0.5%
180	Uwinkingi	10	0.5%
181	Zaza	10	0.5%
182	Nyamirambo	0	0%

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.

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