Home / Food and Agriculture Microdata Catalogue / FOOD-SECURITY / SEN_2019_NFSNRS_V01_EN_M_V01_A_OCS / variable [F2]
Food-Security

National Food Security, Nutrition and Resilience Survey,2019

Senegal, 2019
Get Microdata
Reference ID
SEN_2019_NFSNRS_v01_EN_M_v01_A_OCS
Producer(s)
Executive Secretariat of the National Food Security Council (SECNSA)
Collections
Food Security
Metadata
Documentation in PDF DDI/XML JSON
Created on
Aug 09, 2021
Last modified
Aug 19, 2021
Page views
14231
Downloads
317

commune (commune)

Data file: BASE_ESA_1_ANONYME

Overview

Valid: 4491
Invalid: 0
Type: Discrete
Start: 282
End: 312
Width: 31
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
adeane 5
0.1%
agnam_civol 16
0.4%
aoure 23
0.5%
baba_garage 11
0.2%
badegne_ouolof 8
0.2%
badion 14
0.3%
bagadadji 10
0.2%
baghere 7
0.2%
bala 6
0.1%
balingore 3
0.1%
ballou 16
0.4%
bamba_thialene 8
0.2%
bambali 7
0.2%
bambylor 15
0.3%
bandafassi 11
0.2%
barkedji 6
0.1%
bele 11
0.2%
bembou 14
0.3%
benet_bijini 6
0.1%
bignarabe 16
0.4%
biscuiterie 4
0.1%
boghal 18
0.4%
boke_dialloube 8
0.2%
bokhol 4
0.1%
bokidiawe 11
0.2%
bokiladji 16
0.4%
bonconto 7
0.2%
boulel 15
0.3%
bourouco 17
0.4%
boutoucoufara 7
0.2%
boutoupa_camar 5
0.1%
boynguel_bamba 4
0.1%
coki 3
0.1%
colobane 11
0.2%
colobane_fass_gueule_tapee 3
0.1%
com_aere_lao 6
0.1%
com_bakel 22
0.5%
com_bambey 29
0.6%
com_bargny 14
0.3%
com_bignona 17
0.4%
com_birkelane 22
0.5%
com_bounkiling 8
0.2%
com_dagana 19
0.4%
com_dahra 19
0.4%
com_dembancane 6
0.1%
com_dianah_malary 13
0.3%
com_diaoube_kabendou 14
0.3%
com_diattacounda 5
0.1%
com_diawara 4
0.1%
com_diofior 7
0.2%
com_diourbel 54
1.2%
com_fass 6
0.1%
com_fatick 21
0.5%
com_foundiougne 6
0.1%
com_galoya_toucouleur 7
0.2%
com_gossas 32
0.7%
com_goudiry 19
0.4%
com_goudomp 12
0.3%
com_gueoul 5
0.1%
com_guinguineo 19
0.4%
com_jaxaay_parcelle_niakoul_rap 11
0.2%
com_joal_fadiouth 19
0.4%
com_kaffrine 25
0.6%
com_kahone 8
0.2%
com_kanel 9
0.2%
com_kaolack 59
1.3%
com_karang_poste 5
0.1%
com_kebemer 17
0.4%
com_kedougou 51
1.1%
com_keur_madiabel 6
0.1%
com_kidira 6
0.1%
com_kolda 48
1.1%
com_kothiary 5
0.1%
com_koumpentoum 22
0.5%
com_koungheul 24
0.5%
com_kounkane 7
0.2%
com_linguere 9
0.2%
com_louga 27
0.6%
com_m_backe 27
0.6%
com_m_boro 6
0.1%
com_m_bour 36
0.8%
com_madina_wandifa 13
0.3%
com_malem_hoddar 24
0.5%
com_malem_niani 8
0.2%
com_matam 14
0.3%
com_medina_yoro_foulah 28
0.6%
com_mekhe 8
0.2%
com_n_ganda 5
0.1%
com_ndiagne 8
0.2%
com_ndiamacouta 9
0.2%
com_ndioum 6
0.1%
com_ndoffane 6
0.1%
com_nioro 14
0.3%
com_ourossogui 7
0.2%
com_oussouye 19
0.4%
com_passy 5
0.1%
com_podor 5
0.1%
com_pout 8
0.2%
com_ranerou 23
0.5%
com_richard_toll 28
0.6%
com_ross_bethio 4
0.1%
com_rosso_senegal 7
0.2%
com_saint_louis 70
1.6%
com_salemata 34
0.8%
com_saly_portudal 6
0.1%
com_samine 7
0.2%
com_saraya 39
0.9%
com_sebikotane 7
0.2%
com_sedhiou 16
0.4%
com_semme 5
0.1%
com_sinthiou_bamanbe_banadji 3
0.1%
com_sokone 7
0.2%
com_tambacounda 47
1%
com_thiadiaye 8
0.2%
com_thilogne 5
0.1%
com_thionck_essyl 10
0.2%
com_tivaouane 17
0.4%
com_velingara 14
0.3%
com_ziguinchor 76
1.7%
coubalan 10
0.2%
coumbacara 10
0.2%
dabaly 8
0.2%
dabia 8
0.2%
dakateli 10
0.2%
daliford 8
0.2%
dangalma 8
0.2%
dar_salam 23
0.5%
darou_khoudoss 13
0.3%
darou_marnane 7
0.2%
darou_minam_ii 12
0.3%
darou_mousty 13
0.3%
deali 9
0.2%
dendeye_gouye_gui 8
0.2%
diacounda 6
0.1%
dialacoto 8
0.2%
diama 9
0.2%
diamagadio 7
0.2%
diamaguene_sicap_m_bao 11
0.2%
diamal 6
0.1%
diambaty 5
0.1%
dianke_souf 17
0.4%
diannah_ba 7
0.2%
diaoule 6
0.1%
diarere 17
0.4%
diaroume 5
0.1%
diass 8
0.2%
diende 6
0.1%
diender_guedji 6
0.1%
dimboli 3
0.1%
dindifelo 4
0.1%
dinguiraye 13
0.3%
diokoul_diawrigne 7
0.2%
diokoul_m_belbouck 13
0.3%
dionewar 5
0.1%
diossong 6
0.1%
dioulacolon 10
0.2%
djembering 42
0.9%
djibabouya 8
0.2%
djibanar 14
0.3%
djibidione 7
0.2%
djidah_thiaroye_kao 9
0.2%
djilasse 8
0.2%
djilor 7
0.2%
djinaki 10
0.2%
djiredji 16
0.4%
dodel 12
0.3%
dodji 6
0.1%
dougue 5
0.1%
dounga_lao 10
0.2%
ethiolo 17
0.4%
fafacourou 7
0.2%
fanaye 9
0.2%
faoune 6
0.1%
fass_ngom 8
0.2%
fass_thiekene 7
0.2%
fissel 7
0.2%
fongolembi 5
0.1%
gabou 9
0.2%
gagnick 6
0.1%
gainte_kaye 7
0.2%
gainthe_pathe 6
0.1%
gamadji_sare 6
0.1%
gande 5
0.1%
gandon 17
0.4%
gassane 7
0.2%
gathiary 6
0.1%
gawane 6
0.1%
gniby 5
0.1%
golf_sud 36
0.8%
goumbayel 10
0.2%
grand_dakar 8
0.2%
grand_yoff 17
0.4%
guede_village 6
0.1%
guinaw_rail_nord 3
0.1%
ida_mouride 6
0.1%
inor 6
0.1%
k_mandongo 7
0.2%
k_momar_sarr 4
0.1%
kafountine 13
0.3%
kahene 6
0.1%
kahi 11
0.2%
kamb 6
0.1%
kandia 5
0.1%
kanene_ndiob 6
0.1%
karantaba 8
0.2%
kataba_i 6
0.1%
kathiote 10
0.2%
kelle_gueye 7
0.2%
kerewane 9
0.2%
keur_baka 5
0.1%
keur_m_bouki 11
0.2%
keur_maba_diakhou 6
0.1%
keur_massar 20
0.4%
keur_moussa 7
0.2%
keur_s_diane 9
0.2%
keur_samba_gueye 6
0.1%
keur_soce 7
0.2%
kevoye 9
0.2%
khelcom_birame 9
0.2%
khossanto 12
0.3%
koar 6
0.1%
kolibantang 6
0.1%
komoti 11
0.2%
koul 8
0.2%
koulor 16
0.4%
koussanar 13
0.3%
koussy 3
0.1%
kouthia_gaydi 6
0.1%
kouthiaba_wolof 9
0.2%
lambaye 7
0.2%
latmingue 6
0.1%
leona 16
0.4%
linkering 6
0.1%
lougre_thioly 5
0.1%
loul_sessene 9
0.2%
lour_escale 16
0.4%
m_bao 12
0.3%
mabo 21
0.5%
maka_yop 7
0.2%
makacoulibatang 12
0.3%
malicounda 8
0.2%
mampatim 10
0.2%
mangagoulack 10
0.2%
mangaroungou_santo 9
0.2%
mbadakhoune 10
0.2%
mbam 8
0.2%
mbane 14
0.3%
mbar 27
0.6%
mbelacadiao 6
0.1%
mbeuleup 6
0.1%
mbolo_birane 5
0.1%
mboula 5
0.1%
medina 2
0%
medina_baffe 10
0.2%
medina_cherif 10
0.2%
medina_el_hadji 10
0.2%
medina_gounass 18
0.4%
medina_ndiathbe 9
0.2%
medina_sabakh 10
0.2%
medinatoul_salam_2 8
0.2%
meouane 7
0.2%
mereto 14
0.3%
missirah 5
0.1%
missirah_sirimana 13
0.3%
missirah_wadene 10
0.2%
mlomp 20
0.4%
mont_rolland 7
0.2%
moudery 13
0.3%
n_diaganiao 7
0.2%
n_diebene_gandiole 4
0.1%
n_dindy 6
0.1%
n_diognick 24
0.5%
n_dioum_n_gainth 16
0.4%
n_dondol 7
0.2%
n_doulo 21
0.5%
n_gandiouf 5
0.1%
n_gogom 6
0.1%
n_gohe 5
0.1%
n_goundiane 5
0.1%
n_goye 11
0.2%
nabadji_civol 19
0.4%
ndande 6
0.1%
ndendory 8
0.2%
ndiaffate 7
0.2%
ndiago 4
0.1%
ndiamalathiel 12
0.3%
ndiayene_pendao 11
0.2%
ndiebel 7
0.2%
ndiene_lagane 7
0.2%
ndrame_escale 7
0.2%
nette_boulou 7
0.2%
ngathie_naoude 19
0.4%
ngayene 10
0.2%
ngayokheme 6
0.1%
ngnith 8
0.2%
nguelou 22
0.5%
nguer_malal 11
0.2%
niagha 7
0.2%
niaguis 8
0.2%
niakhar 5
0.1%
niaming 4
0.1%
niani_toucouleur 8
0.2%
niassene 6
0.1%
ninefecha 7
0.2%
nioro_alassane_tall 13
0.3%
notto 7
0.2%
nyassia 6
0.1%
ogo 14
0.3%
orefonde 6
0.1%
orkadiere 17
0.4%
ouadiour 19
0.4%
ouakam 9
0.2%
ouarkhoh 7
0.2%
ouassadou 6
0.1%
oubadji 7
0.2%
oudalaye 47
1%
oudoucar 6
0.1%
oukout 13
0.3%
ouro_sidy 12
0.3%
ourour 6
0.1%
panal_ouolof 7
0.2%
parcelles_assainies 17
0.4%
paroumba 3
0.1%
pass_koto 16
0.4%
patar 3
0.1%
patar_lia 5
0.1%
patte_d_oie 5
0.1%
payar 12
0.3%
pekesse 8
0.2%
pikine_est 8
0.2%
pire_goureye 6
0.1%
plateau 5
0.1%
porokhane 6
0.1%
refane 12
0.3%
ribot_escale 13
0.3%
ronkh 8
0.2%
rufisque_centre_nord_ 17
0.4%
rufisque_est 17
0.4%
rufisque_ouest 7
0.2%
sabodala 11
0.2%
sadatou 3
0.1%
sagatta_djolof 3
0.1%
sagatta_gueth 10
0.2%
sagna 32
0.7%
sakal 9
0.2%
sakar 3
0.1%
saly_escale 12
0.3%
sam_notaire 24
0.5%
sam_yabal 8
0.2%
sandiara 6
0.1%
sansamba 9
0.2%
santhiaba_manjacque 7
0.2%
sare_bidji 5
0.1%
sare_coly_salle 7
0.2%
simbadi_balante 13
0.3%
simbandi_brassou 5
0.1%
sindian 5
0.1%
sinthiang_koundara 6
0.1%
sinthiou_fissa 9
0.2%
sinthiou_mamadou_boubou 24
0.5%
ta_ba_niassene 5
0.1%
taiba_moutoupha 6
0.1%
taiba_n_diaye 7
0.2%
tankanto_escale 11
0.2%
tankon 12
0.3%
tattaguine 8
0.2%
tenghory 9
0.2%
thiamene_cayor 6
0.1%
thiamene_djolof 10
0.2%
thiare_ndialgui 7
0.2%
thiaroye_mer 6
0.1%
thiel 7
0.2%
thieppe 4
0.1%
thies_est 31
0.7%
thies_nord 19
0.4%
thies_ouest 10
0.2%
thilmakha 8
0.2%
thiolom_fall 9
0.2%
tivaouane_peulh_niagha 6
0.1%
tocky_gare 4
0.1%
tomboronkoto 18
0.4%
touba_m_bella 7
0.2%
touba_mosquee 65
1.4%
touba_toul 7
0.2%
toubacouta 15
0.3%
toure_m_bonde 1
0%
velingara 24
0.5%
wack_ngouna 2
0%
wakhinane_nimzatt 32
0.7%
yang_yang 7
0.2%
yarang_balante 7
0.2%
yene 6
0.1%
yeumbeul_nord 13
0.3%
yeumbeul_sud 7
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.
Back to Catalog