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    Home / Food and Agriculture Microdata Catalogue / FOOD-SECURITY / RWA_2015_CFSVA_V01_EN_M_V01_A_OCS / variable [V482]
Food-Security

Comprehensive Food Security and Vulnerability Analysis 2015

Rwanda, 2015
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Reference ID
RWA_2015_CFSVA_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics of Rwanda
Collections
Food Security
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 10, 2019
Last modified
Jul 10, 2019
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • cfsva-2015-child-DB-
    annex
  • cfsva-2015-master-DB-
    annex
  • cfsva-2015-mother-DB-
    annex

Sector (S0_E_Sect)

Data file: cfsva-2015-mother-DB- annex

Overview

Valid: 6768
Invalid: 0
Type: Discrete
Decimal: 0
Start: 169
End: 173
Width: 5
Range: 10101 - 50714
Format: Numeric

Questions and instructions

Categories
Value Category Cases
10101 Gitega 16
0.2%
10102 Kanyinya 43
0.6%
10103 Kigali 39
0.6%
10104 Kimisagara 19
0.3%
10105 Mageragere 10
0.1%
10107 Nyakabanda 20
0.3%
10108 Nyamirambo 37
0.5%
10109 Nyarugenge 43
0.6%
10110 Rwezamenyo 30
0.4%
10201 Bumbogo 9
0.1%
10202 Gatsata 16
0.2%
10203 Gikomero 5
0.1%
10204 Gisozi 30
0.4%
10205 Jabana 14
0.2%
10206 Jali 21
0.3%
10207 Kacyiru 3
0%
10209 Kimironko 73
1.1%
10210 Kinyinya 11
0.2%
10211 Ndera 26
0.4%
10212 Nduba 7
0.1%
10213 Remera 17
0.3%
10214 Rusororo 10
0.1%
10215 Rutunga 15
0.2%
10301 Gahanga 20
0.3%
10302 Gatenga 41
0.6%
10303 Gikondo 31
0.5%
10304 Kagarama 16
0.2%
10305 Kanombe 35
0.5%
10306 Kicukiro 31
0.5%
10307 Kigarama 69
1%
10308 Masaka 45
0.7%
10309 Niboye 36
0.5%
10310 Nyarugunga 29
0.4%
20101 Busasamana 12
0.2%
20102 Busoro 30
0.4%
20103 Cyabakamyi 4
0.1%
20104 Kibilizi 47
0.7%
20105 Kigoma 41
0.6%
20106 Mukingo 31
0.5%
20107 Muyira 41
0.6%
20108 Ntyazo 23
0.3%
20109 Nyagisozi 9
0.1%
20110 Rwabicuma 11
0.2%
20201 Gikonko 31
0.5%
20202 Gishubi 18
0.3%
20203 Kansi 18
0.3%
20204 Kibirizi 17
0.3%
20205 Kigembe 8
0.1%
20206 Mamba 27
0.4%
20208 Mugombwa 7
0.1%
20210 Musha 26
0.4%
20211 Ndora 28
0.4%
20212 Nyanza 28
0.4%
20213 Save 9
0.1%
20301 Busanze 34
0.5%
20302 Cyahinda 16
0.2%
20303 Kibeho 20
0.3%
20305 Mata 8
0.1%
20306 Muganza 16
0.2%
20307 Munini 21
0.3%
20308 Ngera 9
0.1%
20309 Ngoma 7
0.1%
20310 Nyabimata 22
0.3%
20311 Nyagisozi 8
0.1%
20312 Ruheru 26
0.4%
20313 Ruramba 35
0.5%
20314 Rusenge 17
0.3%
20402 Huye 4
0.1%
20403 Karama 4
0.1%
20404 Kigoma 7
0.1%
20405 Kinazi 13
0.2%
20406 Maraba 16
0.2%
20407 Mbazi 19
0.3%
20408 Mukura 8
0.1%
20410 Ruhashya 6
0.1%
20411 Rusatira 25
0.4%
20412 Rwaniro 15
0.2%
20413 Simbi 19
0.3%
20414 Tumba 76
1.1%
20501 Buruhukiro 19
0.3%
20502 Cyanika 15
0.2%
20503 Gasaka 19
0.3%
20504 Gatare 42
0.6%
20505 Kaduha 21
0.3%
20507 Kibirizi 14
0.2%
20508 Kibumbwe 9
0.1%
20511 Mugano 20
0.3%
20512 Musange 6
0.1%
20513 Musebeya 19
0.3%
20517 Uwinkingi 16
0.2%
20602 Byimana 10
0.1%
20603 Kabagali 18
0.3%
20604 Kinazi 84
1.2%
20605 Kinihira 15
0.2%
20606 Mbuye 15
0.2%
20607 Mwendo 19
0.3%
20609 Ruhango 66
1%
20701 Cyeza 26
0.4%
20702 Kabacuzi 17
0.3%
20703 Kibangu 14
0.2%
20704 Kiyumba 10
0.1%
20705 Muhanga 12
0.2%
20706 Mushishiro 14
0.2%
20708 Nyamabuye 46
0.7%
20709 Nyarusange 24
0.4%
20710 Rongi 26
0.4%
20712 Shyogwe 28
0.4%
20801 Gacurabwenge 16
0.2%
20803 Kayenzi 17
0.3%
20804 Kayumbu 22
0.3%
20805 Mugina 40
0.6%
20806 Musambira 10
0.1%
20807 Ngamba 6
0.1%
20808 Nyamiyaga 10
0.1%
20809 Nyarubaka 17
0.3%
20810 Rugarika 24
0.4%
20811 Rukoma 9
0.1%
20812 Runda 29
0.4%
30101 Bwishyura 45
0.7%
30102 Gashari 23
0.3%
30103 Gishyita 9
0.1%
30104 Gitesi 9
0.1%
30105 Mubuga 50
0.7%
30107 Murundi 33
0.5%
30110 Rugabano 29
0.4%
30112 Rwankuba 8
0.1%
30113 Twumba 11
0.2%
30201 Boneza 6
0.1%
30204 Kivumu 25
0.4%
30205 Manihira 8
0.1%
30206 Mukura 4
0.1%
30207 Murunda 4
0.1%
30208 Musasa 27
0.4%
30209 Mushonyi 18
0.3%
30210 Mushubati 36
0.5%
30211 Nyabirasi 30
0.4%
30212 Ruhango 33
0.5%
30213 Rusebeya 5
0.1%
30302 Busasamana 23
0.3%
30303 Cyanzarwe 26
0.4%
30304 Gisenyi 10
0.1%
30305 Kanama 16
0.2%
30306 Kanzenze 9
0.1%
30307 Mudende 8
0.1%
30308 Nyakiriba 19
0.3%
30309 Nyamyumba 19
0.3%
30310 Nyundo 18
0.3%
30311 Rubavu 24
0.4%
30312 Rugerero 35
0.5%
30401 Bigogwe 8
0.1%
30402 Jenda 44
0.7%
30403 Jomba 22
0.3%
30404 Kabatwa 8
0.1%
30405 Karago 17
0.3%
30406 Kintobo 16
0.2%
30407 Mukamira 27
0.4%
30408 Muringa 30
0.4%
30409 Rambura 12
0.2%
30410 Rugera 16
0.2%
30411 Rurembo 8
0.1%
30412 Shyira 12
0.2%
30502 GATUMBA 16
0.2%
30503 HINDIRO 17
0.3%
30504 KABAYA 9
0.1%
30505 KAGEYO 31
0.5%
30506 KAVUMU 18
0.3%
30508 MUHANDA 28
0.4%
30509 MUHORORO 11
0.2%
30510 NDARO 5
0.1%
30511 NGORORERO 57
0.8%
30512 NYANGE 35
0.5%
30601 Bugarama 35
0.5%
30604 Gashonga 13
0.2%
30606 Gihundwe 30
0.4%
30607 Gikundamvura 21
0.3%
30608 Gitambi 19
0.3%
30609 Kamembe 26
0.4%
30610 Muganza 19
0.3%
30612 Nkanka 8
0.1%
30614 Nkungu 21
0.3%
30615 Nyakabuye 12
0.2%
30616 Nyakarenzo 8
0.1%
30617 Nzahaha 22
0.3%
30701 Bushekeri 6
0.1%
30702 Bushenge 19
0.3%
30703 Cyato 16
0.2%
30704 Gihombo 30
0.4%
30705 Kagano 36
0.5%
30707 Karambi 31
0.5%
30708 Karengera 10
0.1%
30709 Kirimbi 7
0.1%
30710 Macuba 28
0.4%
30712 Nyabitekeri 23
0.3%
30714 Ruharambuga 8
0.1%
30715 Shangi 11
0.2%
40101 BASE 33
0.5%
40103 BUSHOKI 6
0.1%
40107 KINIHIRA 9
0.1%
40109 MASORO 51
0.8%
40113 NTARABANA 32
0.5%
40114 RUKOZO 6
0.1%
40115 RUSIGA 16
0.2%
40116 SHYORONGI 24
0.4%
40117 TUMBA 3
0%
40204 Gakenke 39
0.6%
40206 Janja 6
0.1%
40207 Kamubuga 28
0.4%
40209 Kivuruga 31
0.5%
40211 Minazi 17
0.3%
40213 Muhondo 15
0.2%
40214 Muyongwe 8
0.1%
40215 Muzo 7
0.1%
40216 Nemba 9
0.1%
40217 Ruli 27
0.4%
40219 Rushashi 26
0.4%
40301 Busogo 46
0.7%
40302 Cyuve 32
0.5%
40303 Gacaca 10
0.1%
40304 Gashaki 11
0.2%
40305 Gataraga 14
0.2%
40306 Kimonyi 8
0.1%
40307 Kinigi 8
0.1%
40308 Muhoza 63
0.9%
40309 Muko 11
0.2%
40310 Musanze 11
0.2%
40312 Nyange 11
0.2%
40313 Remera 12
0.2%
40315 Shingiro 23
0.3%
40401 Bungwe 9
0.1%
40402 Butaro 25
0.4%
40403 Cyanika 9
0.1%
40404 Cyeru 12
0.2%
40405 Gahunga 36
0.5%
40407 Gitovu 8
0.1%
40408 Kagogo 39
0.6%
40410 Kinyababa 15
0.2%
40411 Kivuye 9
0.1%
40412 Nemba 17
0.3%
40413 Rugarama 14
0.2%
40414 Rugengabari 7
0.1%
40416 Rusarabuye 6
0.1%
40417 Rwerere 17
0.3%
40503 Byumba 43
0.6%
40505 Giti 10
0.1%
40507 Kaniga 19
0.3%
40508 Manyagiro 21
0.3%
40509 Miyove 8
0.1%
40512 Mutete 8
0.1%
40513 Nyamiyaga 19
0.3%
40514 Nyankenke 25
0.4%
40515 Rubaya 14
0.2%
40517 Rushaki 15
0.2%
40518 Rutare 16
0.2%
40519 Ruvune 11
0.2%
40521 Shangasha 10
0.1%
50101 Fumbwe 14
0.2%
50102 Gahengeri 22
0.3%
50103 Gishali 12
0.2%
50104 Karenge 34
0.5%
50105 Kigabiro 37
0.5%
50106 Muhazi 19
0.3%
50108 Munyiginya 9
0.1%
50109 Musha 17
0.3%
50110 Muyumbu 12
0.2%
50112 Nyakaliro 16
0.2%
50113 Nzige 11
0.2%
50114 Rubona 15
0.2%
50202 KARAMA 23
0.3%
50203 KARANGAZI 15
0.2%
50204 KATABAGEMU 32
0.5%
50205 KIYOMBE 7
0.1%
50206 MATIMBA 6
0.1%
50207 MIMURI 22
0.3%
50209 MUSHERI 14
0.2%
50210 NYAGATARE 63
0.9%
50213 RWIMIYAGA 30
0.4%
50214 TABAGWE 10
0.1%
50303 Gitoki 34
0.5%
50304 Kabarore 17
0.3%
50305 Kageyo 25
0.4%
50307 Kiziguro 7
0.1%
50308 Muhura 41
0.6%
50309 Murambi 34
0.5%
50310 Ngarama 18
0.3%
50311 Nyagihanga 14
0.2%
50313 Rugarama 9
0.1%
50314 Rwimbogo 19
0.3%
50401 Gahini 25
0.4%
50402 Kabare 14
0.2%
50404 Mukarange 43
0.6%
50405 Murama 8
0.1%
50406 Murundi 15
0.2%
50407 Mwiri 21
0.3%
50409 Nyamirama 36
0.5%
50410 Rukara 9
0.1%
50411 Ruramira 7
0.1%
50412 Rwinkwavu 13
0.2%
50501 Gahara 27
0.4%
50503 Kigarama 26
0.4%
50504 Kigina 32
0.5%
50506 Mahama 11
0.2%
50507 Mpanga 32
0.5%
50508 Musaza 31
0.5%
50509 Mushikiri 46
0.7%
50510 Nasho 10
0.1%
50511 Nyamugari 13
0.2%
50512 Nyarubuye 21
0.3%
50601 Gashanda 6
0.1%
50602 Jarama 29
0.4%
50604 Kazo 5
0.1%
50605 Kibungo 9
0.1%
50606 Mugesera 41
0.6%
50608 Mutenderi 8
0.1%
50609 Remera 32
0.5%
50610 Rukira 41
0.6%
50611 Rukumberi 12
0.2%
50612 Rurenge 15
0.2%
50613 Sake 9
0.1%
50614 Zaza 15
0.2%
50702 Juru 6
0.1%
50703 Kamabuye 17
0.3%
50705 Mayange 18
0.3%
50706 Musenyi 16
0.2%
50707 Mwogo 15
0.2%
50709 Ntarama 20
0.3%
50710 Nyamata 21
0.3%
50711 Nyarugenge 23
0.3%
50712 Rilima 23
0.3%
50713 Ruhuha 29
0.4%
50714 Rweru 11
0.2%
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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