SEN_2015_RIMA_v01_M_v01_A_OCS DDI_SEN_2015_RIMA_v01_M_v01_A_OCS Ellestina Jumbe Office of Chief Statistician Development Economics Data Group 2023-01-31 Nesstar Publisher Version 01 (January 2023): This metadata was downloaded from the FAO website (https://microdata.fao.org/index.php/catalog) and it is identical to FAO version (SEN_2015_RIMA_v01_EN_M_v01_A_OCS). The following two metadata fields were edited - Document ID and Survey ID. Resilience Index Measurement and Analysis 2015 RIMA 2015 SEN_2015_RIMA_v01_M_v01_A_OCS Food and Agriculture Organization Nesstar Publisher FAO RIMA Team Other Household Survey [hh/oth] Household characteristics Perception Coping strategies Social networks Shocks Employment Productivity Credit Agriculture Matam is one of the poorest regions of Senegal. Located in the northeast of the country, more than 45 percent of the population of Matam is under the poverty line (ANSD/SRSD, 2015). In this region, agriculture and pastoralism are the largest economic sectors, thus recent climatic changes strongly influence the number of malnourished people. Notwithstanding the numerous advances made in recent decades by the Government of Senegal in terms of increasing education rates and reinforcing numerous forms of infrastructure, such as roads, hospitals and schools, Matam still experiences infrastructure weakness and poor access to numerous basic services. Furthermore, Matam falls behind in a range of human development indicators in comparison to other Senegalese regions. Nevertheless, a Food and Agriculture Organization (FAO) resilience analysis based on the Enquête de Suivi de la Pauvreté au Sénégal I (ESPS I) found Matam to be one of the most resilient regions within Senegal. While this result may be in line with the typically high levels of adaptive, transformative and coping capacities of the poorest regions around the world, this result still warranted further investigation. Therefore, an ad hoc survey was carried out by FAO Resilience Analysis and Policies (RAP) team in Matam between December 2015 and January 2016, with the support of the Agence National de Statistique et de la Démographie (ANSD). The resilience survey was conducted within 410 households within the districts of Ranérou, Matam and Kanel in Matam Region. Senegal Regional coverage Households Sample survey data [ssd] The survey covered sections on household characteristics, perception, adaptation strategies, social networks and shocks, employment, productivity and credit, as well as agricultural characteristics. However, the corresponding dataset only includes variables used to calculate the Resilience Capacity Index (RCI). As such, questionnaire attached should only be used as guide to understand which questions were used in the calculation of these variables. The total sample counts 410 observations and is representative at the regional level; the household selection was made in collaboration with ANSD; the sampling framework utilized was that used for the Senegal National Census in 2014. Computer Assisted Personal Interview [capi] Please refer to the questionnaires for the value labels of the variables. All the interviews were carried out using a tablet computer and the Open Data Kit technologies for data collection and data entry; each enumerator was equipped with a tablet. The adoption of new technology reduces the time needed for interviews, lowers the rate of data collection errors, reduces data entry errors, and provides for adequate quality control of data collection almost in real time. The qualitative data collected in the field through focus groups was aimed at exploring the main constraints to resilience capacity at the community level and which coping strategies are implemented. The qualitative investigation was carried out from the 29th of December 2015 to the 9th of January 2016, conducting eight focus groups and ten in-depth interviews. These interviews covered previous situations of household vulnerability, the most frequent shocks faced, and which coping strategies were adopted in response. The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses SEN_2015_RIMA.NSDstat 0 301 Nesstar 200801 household ID 0 0 (sum) cereals_expenditure_dol 0 0 (sum) caffe_expenditure_dol 0 0 (sum) fruit_expenditure_dol 0 0 (sum) meat_expenditure_dol 0 0 (sum) milk_expenditure_dol 0 0 (sum) oil_expenditure_dol 0 0 (sum) sugar_expenditure_dol 0 0 (sum) tuber_expenditure_dol 0 0 (sum) legume_expenditure_dol 0 0 gross food expenditure, dollars 0 0 number of agri inputs 0 0 agri_inputs dummy 0 0 (sum) input_value 0 0 vale of the house in $, imputed 0 0 dummy one for rural and zero for urban 0 0 valeur monetaire de la maison imp - fca 0 0 0 0 valeur monetaire de la maison imp - us$ 0 0 log - valeur monetaire de la maison imp - us$ 0 0 dummy 0 0 1 0 2 1 dummy 0 0 1 0 2 1 dummy 0 0 1 0 2 1 dummy 0 0 1 0 2 1 dummy 0 0 dummy 0 0 1 0 dummy 0 0 1 0 2 1 dummy 0 0 dummy 0 0 dummy 0 0 dummy 0 0 dummy 0 0 dummy 0 0 dummy 0 0 dummy 0 0 dummy 0 0 dummy 0 0 dummy 0 0 dummy 0 0 dummy 0 0 dummy 0 0 dummy for engrais_in 0 0 dummy for engrais_or 0 0 dummy for insecticides 0 0 dummy for herbicides 0 0 dummy for semences_loc 0 0 dummy for semences_hyb 0 0 dummy for graines_ac 0 0 dummy for insemination_art 0 0 dummy for veterinaire 0 0 dummy for transport 0 0 dummy for enrobage 0 0 dummy for bineuse 0 0 dummy for charrue 0 0 dummy for charrue_oxen 0 0 dummy for marteau 0 0 dummy for sickle 0 0 dummy for pelle 0 0 dummy for sac 0 0 dummy for tracteur_ag 0 0 dummy for hache 0 0 dummy for irrigation 0 0 1 0 2 1 dummy for charrette_ag 0 0 dummy for pompe 0 0 select livestock 0 0 1 bovins (boeuf, vaches, etc) 2 caprins(chevres, bouc) 3 camelins(chameau, dromadaire) 4 equins (chevaux, juments) 5 ovins(mouton…) 6 asins(anes) 7 volailles(poules, canards, etc.) 8 porcins (porcs) 9 autres (specifiez) in the past 12 months have you raised or owned 0 0 0 non 1 oui other livestock 0 0 how much of this livestock did hh have 12 months ago? 0 0 how many cattle were born 0 0 how much of cattle was donated 0 0 how much of this livestock did you purchase to raise 0 0 how much did you spend to buy cattle 0 0 how much of this cattle was donated 0 0 how much was lost or stolen 0 0 how much of livestock did your household sell 0 0 total livestock sales value in fcfa 0 0 minutes to nearest cattle market 0 0 how much of livestock did you slaughter 0 0 how many animals died in past 12 months 0 0 Livestock value in $, imputed 0 0 livestock code 0 0 how much of this livestock does your household currently own 0 0 number of bovins 0 0 number of caprins 0 0 number of cheaveus 0 0 number of ovins 0 0 number of anes 0 0 number of poulets 0 0 total livestock 0 0 tropical livestock unit 0 0 dummy for main light source 0 0 1 0 2 1 la distance (min) de la source d'eau - imp 0 0 distance (mn) ecole - imp 0 0 distance (mn) structure de sante - imp 0 0 distance (mn) structure de guerriseur traditionnel - imp 0 0 distance (mn) structure de hopital - imp 0 0 distance (mn) transport public - imp 0 0 distance (mn) marche de produits alimentaire - imp 0 0 dummy 0 for no toiltette facility 0 0 1 0 2 1 dummy 0 if no safe waste disposal 1 if camion or authorized deposit 0 0 dumy 1 for having a credit contracted before nov. 2014 0 0 monetary value of credit contracted before nov. 2014 - mro - imp 0 0 monetary value of credit contracted before nov. 2014 - usd - imp 0 0 dumy 1 for having a credit contracted during last 12 months 0 0 number of produced crops 0 0 number of produced crops over max in the sample- max 4 0 0 (max) rice 0 0 (max) wheat 0 0 (max) millet 0 0 (max) sorghum 0 0 (max) maize 0 0 (max) manioc 0 0 (max) i_potato 0 0 (max) s_potato 0 0 (max) igname 0 0 (max) beans 0 0 (max) lentils 0 0 (max) peas 0 0 (max) soybeans 0 0 (max) cabbage 0 0 (max) other_leaf 0 0 (max) lettuce 0 0 (max) tomato 0 0 (max) fruits 0 0 (max) onion 0 0 (max) niebe 0 0 (max) pepper 0 0 (max) sesame 0 0 (max) other 0 0 land in hectare 0 0 monetary value of land in fca 0 0 monetary value of land in usd - imp - sum over crops 0 0 quantity of harvested crops in the last season 0 0 monetary value of harvested crops last season - fca 0 0 monetary value of harvested crops last season - usd - imp 0 0 quantity of harvested crops in the last year 0 0 monetary value of harvested crops last year - fca 0 0 monetary value of harvested crops last season - usd - imp 0 0 quantity of harvested crops sold in the last year 0 0 monetary value of harvested crops sold last year - cfa 0 0 monetary value of harvested crops sold ast season - usd 0 0 quantity of harvested crops bartered in the last year 0 0 monetary value of harvested crops bartered in last year - fca 0 0 monetary value of harvested crops bartered in last season - usd - imp 0 0 quantity of harvested crops reimbursed in the last year 0 0 quantity of harvested crops consumed in the last year 0 0 quantity of harvested crops stored in the last year 0 0 sum cons_y and stor_y 0 0 (max) food_shock7 0 0 (max) shock_sign 0 0 (max) csi 0 0 (max) members_employed 0 0 (max) hhtotal_wage 0 0 (max) hhtotal_wage_dol 0 0 (sum) total_wage 0 0 (sum) wage_sal 0 0 (sum) kind_sal 0 0 (sum) occasional_sal 0 0 (sum) total_wage_dol 0 0 (sum) wage_sal_dol 0 0 (sum) kind_sal_dol 0 0 (sum) occasional_sal_dol 0 0 livelihood 0 0 1 pastorale 2 agro-pastorale 3 agricole 4 fluvial 5 pêcheur 6 urbain 7 autre [specifiez] livelihood_other 0 0 ethnic group 0 0 1 baïnouck 2 badiaranké 3 balante 4 bambara 5 bassari 6 bédick 7 coniagui 8 créole 9 diahanké 10 dialonké 11 diola 12 fula 13 khassonké 14 lébou 15 mancagne 16 manding 17 manjaag 18 maure 19 halpulaar 20 sarakholé 21 sérer 22 socé 23 soninké 24 soussou 25 wolof 26 autres à préciser fish sale dollar 0 0 (max) fish_sale 0 0 (max) unit_fish 0 0 (max) unit_fish_dol 0 0 (max) fish_sale_dol 0 0 number of hired people for hh activity 0 0 value of hired people for hh activity - fca 0 0 value of hired people for hh activity usd 0 0 (max) agr 0 0 (max) agr_d 0 0 monetary value of product sold - mro 0 0 monetary value of product sold imp - fca 0 0 monetary value of product sold imp - usd 0 0 dummy for getting a training 0 0 1 for selling livestock in the last 12 months 0 0 monetary value of livestock sold - fca 0 0 monetary value of livestock sold - dol 0 0 monetary value of livestock sold - dol - no unit price 0 0 total value of other income - fca 0 0 total value of other income - imp - usd 0 0 total value of other income - fca - reduced 0 0 total value of other income - imp - usd - reduced 0 0 vale of gift - imp- fca 0 0 vale of gift - imp- usd 0 0 dummy for having received cash transfers in the last 12 months 0 0 dummy equal to 1 for receiving cash transfers when most needed 0 0 monetary value of received cash transfers - fca 0 0 monetary value of received cash transfers - imp - usd 0 0 dummy for having received in-kind transfers in the last 12 months 0 0 dummy equal to 1 for receiving in-kind transfers when most needed 0 0 monetary value of received in-kind transfers - fca 0 0 monetary value of received in-kind transfers - imp - usd 0 0 total received transfers cash and in-kind - imp- fca 0 0 total received transfers cash and in-kind - imp - usd 0 0 participation dummy of part_agri 0 0 participation dummy of part_empl 0 0 participation dummy of part_fish 0 0 participation dummy of part_livprod 0 0 participation dummy of part_liv 0 0 participation dummy of part_fishliv 0 0 participation dummy of part_other 0 0 dummy for transfers 0 0 sum of participation 0 0 participation index 0 0 total income - fca 0 0 total income - usd 0 0 total income - fca, imputed 0 0 total income - usd, imputed 0 0 departement 0 0 1 matam 2 kanel 3 ranerou commune 0 0 11 com .matam 12 com. ourossogui 13 com. thilogne 14 com. nguidilogne 15 agnam-civol 16 ogo 21 com. kanel 22 com. semme 23 com. waounde 24 com. hamady ounare 25 com. sinthiou bamanbe-banadji 26 com. odobere 27 orkadiere 28 ouro sidy 31 com. ranerou 32 velingara max number pf children per hh 0 0 marital status of hhead 0 0 age head of hh 0 0 female headed hh 0 0 female hh head de iure - divorce, separe 0 0 number of people in hh 0 0 number of females in hh 0 0 number of males in hh 0 0 dependency ratio - actives/hhsize 0 0 dependency ratio - actives/dependents 0 0 share of children 0 0 number of illiterate people in hh 0 0 average years of education in hh 0 0 average years of education people >=15 & <=60 0 0 average years of education adult people >=15 0 0 years of education hh head 0 0 highest years of education in hh 0 0 community influence for better local services: increasing 0 0 decision-making process: increasing 0 0 dummy for theft_burglaries 0 0 dummy for assasination 0 0 dummy for domestic_violence 0 0 dummy for gender_violence 0 0 dummy for mines_ordnance 0 0 dummy for land_grabbing 0 0 dummy for conflict 0 0 dummy for invasions 0 0 dummy for cattle_raids 0 0 well-being perception index - factor 0 0 well-being perception index - factor - scaled 0 0 dummy shock - last month 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy shock - last year 0 0 dummy for belonging to at least one association 0 0 dummy for belonging to a credit group 0 0 dummy for relying on relatives in case of need 0 0 monetary value of loss last month - fca - imp 0 0 monetary value of loss last month - imp - usd 0 0 monetary value of loss last year - fca - imp 0 0 monetary value of loss last year - imp - usd 0 0 number of female hh member divided by number of male hh member 0 0