MLI_2014_RIMA_v01_M_v01_A_OCS DDI_MLI_2014_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 (MLI_2014_RIMA_v01_EN_M_v01_A_OCS). The following two metadata fields were edited - Document ID and Survey ID. Resilience Index Measurement and Analysis 2014 RIMA 2014 MLI_2014_RIMA_v01_M_v01_A_OCS Food and Agriculture Organization Malian Association of Research Action for Development Nesstar Publisher FAO RIMA Team Other Household Survey [hh/oth] Agriculture Demographic characteristics Health Employment Income Shocks Food expenditure and consumption Food security Livestock Social services Community needs Prices Mali is a Sahelian country, landlocked and structurally vulnerable to food insecurity and malnutrition. The economy is heavily dependent on the primary sector: agriculture, livestock, fishing and forestry account for 68.0% of the active population1 . This sector is itself dependent on exogenous factors, mainly climatic, such as recurrent droughts. In 2018, the prevalence of food insecurity at the national level was 19.1%, of which 2.6% was severely food insecure. The most affected regions were Kidal, Gao, Timbuktu, Mopti and Kayes. The Global Food Crisis Network Partnership Programme baseline studies are designed to feed into the overall monitoring, evaluation, accountability and learning programme of each project. In this regard, the baseline study has short, medium and long-term objectives. Mali Regional coverage Households Sample survey data [ssd] The EAC-I 2014 has been designed to have national coverage, including both urban and rural areas in all the regions of the country except Kidal. The domains were defined as the entire country, district of Bamako, other urban areas, and rural areas; and in the rural areas: agricultural zones, agro-pastoral zones and pastoral zones. Taking this into account, 51 explicit sample strata were selected. The target population was drawn from households in all regions of Mali except Kidal which was not accessible for security reasons. Kidal also has very low population density.The sample was chosen through a random two stage process: - In the first stage, 1070 enumeration areas (EAs) were selected with Probability Proportional to Size (PPS) using the 2009 Census of Population as the base for the sample, and the number of households as a measure of size. - In the second stage o 3 households were selected with equal probability in each of the rural EAs o 9 households were selected with equal probability in each of the urban EAs The total estimated size of the sample for the survey was 4,218. Computer Assisted Personal Interview [capi] Please refer to the Questionnaires for the value labels of the variables. In order to produce nationally representative statistics with the data weights or expansion factors need to be applied. These survey weights adjust for differences in the probability of selection within the sample. To accurately use the datasets, the data must be weighted to reflect the distribution of the full population in the country. A population weight was calculated for the households in the sample. It is found in the file named EACIPOIDS.dta. Data Entry & Data cleaning Data entry was performed at the CPS/SDR using a CSPro application designed by an international consultant recruited by the LSMS team. The data entry program allows three types of data checks: (1) range checks; (2) intra-record check to verify inconsistencies pertinent to the particular module of the questionnaire; and (3) inter-record checks to determine inconsistencies pertinent between the different modules of the questionnaire. Data entry for the first visit was done from August 11th, 2014 to November 30th, 2014 and, from February 9th 2015 to March 27th, 2015 for the second visit. Data cleaning was done from May 2015 to July 2015. Data cleaning was done in a CSPro application. The data cleaning focused on more intra-record and inter-record checks. 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. consumption.NSDstat 0 24 Nesstar 200801 income.NSDstat 0 268 Nesstar 200801 mli_14_pindex.NSDstat 0 11 Nesstar 200801 weight_conv_table.NSDstat 0 9 Nesstar 200801 Grappe 0 0 Numero du menage 0 0 food consumption annual - xof - imp 0 0 0 0 dummy for consuming auto-consumed food 0 0 Coefficients d'extrapolation 0 0 region 0 0 1 Kayes 2 Koulikoro 3 Sikasso 4 Ségou 5 Mopti 6 Tombouctou 7 Gao 9 Bamako Cercle 0 0 Arrondissement 0 0 1=rural/ 0=urban 0 0 total expenditure annual - xof 0 0 total expenditure annual - usd 0 0 monetary value of consumed food 7 days XOF 0 0 monetary value of consumed food monthly XOF 0 0 monetary value of consumed food monthly XOF percapita 0 0 monetary value of consumed food monthly USD percapita 0 0 monetary value of consumed food monthly USD percapita, imputed 0 0 , imputed 0 0 , imputed 0 0 Household food consumption score 0 0 (sum) calories_pc 0 0 simpson diversity index 0 0 Shannon Diversity Index 0 0 HH dietary diversity score 0 0 Grappe 0 0 Numero du menage 0 0 region 0 0 1 Kayes 2 Koulikoro 3 Sikasso 4 Ségou 5 Mopti 6 Tombouctou 7 Gao 9 Bamako Cercle 0 0 Arrondissement 0 0 1=rural/ 0=urban 0 0 Coefficients d'extrapolation 0 0 Income from safety nets programs 0 0 total value of other income imputed - xof 0 0 total value of other income imputed - usd 0 0 total income from wage employment imputed - xof 0 0 total income from wage employment imputed - usd 0 0 Net income from livestock and by-products, imputed - xof 0 0 Net income from livestock and by-products, imputed -usd 0 0 Net income from non farm enterprises imputed, xof 0 0 Net income from non farm enterprises imputed, usd 0 0 Annual transfers received, xof 0 0 Annual transfers give away, xof 0 0 Annual net transfers imputed, xof 0 0 Annual net transfers imputed, usd 0 0 total value of other income imputed - xof 0 0 total value of other income less income from heritage, loterie, vente de bien im 0 0 total value of other income imputed - usd 0 0 total value of other income less income from heritage, loterie, vente de bien im 0 0 total income from fishing imputed - xof 0 0 total income from fishing imputed - usd 0 0 food consumption annual - xof - imp 0 0 0 0 dummy for consuming auto-consumed food 0 0 total expenditure annual - xof 0 0 total expenditure annual - usd 0 0 , imputed 0 0 , imputed 0 0 head of hh is bambara (majority ethnic groupe) 0 0 female headed hh 0 0 age head of hh 0 0 head of hh married 0 0 head of hh widowed 0 0 share of male hh labor 0 0 share of female hh labor 0 0 hh labor age>14 but <60 0 0 hh male labor age>14 but <60 0 0 hh female labor age>14 but <60 0 0 number of people in the hh 0 0 number of males in the hh 0 0 number of females in the hh 0 0 average years of education in hh 0 0 years of education head of hh 0 0 average years of education among hh members 15-60yrs 0 0 number of child in hh 0 0 number of elder in hh 0 0 child dependency ratio: nber children/hhsize 0 0 elder dependency ratio: nber elder/hhsize 0 0 dependency ration: nber dependents/hhsize 0 0 nber of dependents 0 0 ave years of education among hh members >15 yrs 0 0 (mean) educhigh 0 0 was the child (7-17ans) enrolled in 2013/2014? 0 0 Was a health services or traditional healer consulted while sick? 0 0 Household owns tractor 0 0 Household owns sprayer 0 0 Household owns planter 0 0 Household owns plough 0 0 Household owns hoe 0 0 Household owns harrow 0 0 Household owns animals 0 0 Household owns cart 0 0 Household owns hive 0 0 Household owns huller 0 0 Household owns pump 0 0 Household owns scales 0 0 Household owns bundling 0 0 Household owns cutter 0 0 Household owns trough 0 0 Household owns mower 0 0 Household owns mill 0 0 Household owns spreader 0 0 Household owns milkingm 0 0 Household owns other 0 0 Nber of ntractor 0 0 Nber of nsprayer 0 0 Nber of nplanter 0 0 Nber of nplough 0 0 Nber of nhoe 0 0 Nber of nharrow 0 0 Nber of nanimals 0 0 Nber of ncart 0 0 Nber of nhive 0 0 Nber of nhuller 0 0 Nber of npump 0 0 Nber of nscales 0 0 Nber of nbundling 0 0 Nber of ncutter 0 0 Nber of ntrough 0 0 Nber of nmower 0 0 Nber of nmill 0 0 Nber of nspreader 0 0 Nber of nmilkingm 0 0 Nber of nother 0 0 total value of agricultural assets 0 0 total value of agricultural assets - imputed 0 0 total value of animals owned 0 0 total value of animals owned - imputed 0 0 0 0 Household owns bull 0 0 Household owns cow 0 0 Household owns calf 0 0 Household owns sheep 0 0 Household owns pig 0 0 Household owns donkey 0 0 Household owns camel 0 0 Household owns poultry 0 0 Household owns rabbit 0 0 Nber of npigs owned by HH, imputed 0 0 Nber of nbulls owned by HH, imputed 0 0 Nber of ncows owned by HH, imputed 0 0 Nber of ncalves owned by HH, imputed 0 0 Nber of nsheeps owned by HH, imputed 0 0 Nber of ndonkeys owned by HH, imputed 0 0 Nber of npoultrys owned by HH, imputed 0 0 Nber of ncamels owned by HH, imputed 0 0 Nber of nrabbits owned by HH, imputed 0 0 Tropical Livestock Units: bulls 0 0 Tropical Livestock Units: sheep 0 0 Tropical Livestock Units: pigs 0 0 Tropical Livestock Units: poultry (chicken, turkeys) 0 0 Tropical Livestock Units: donkeys, mules, horses 0 0 Tropical Livestock Units: cow 0 0 Tropical Livestock Units: calf 0 0 Tropical Livestock Units: rabbit 0 0 Tropical Livestock Units: camels 0 0 Tropical Livestock Units: cattle (cows, calves, bulls) 0 0 Tropical Livestock Units: total 0 0 Number of salon household owns 0 0 Number of ktable household owns 0 0 Number of bed household owns 0 0 Number of ofurniture household owns 0 0 Number of iron household owns 0 0 Number of stove household owns 0 0 Number of sewing household owns 0 0 Number of moulinex household owns 0 0 Number of foyer household owns 0 0 Number of fridge household owns 0 0 Number of fan household owns 0 0 Number of aircond household owns 0 0 Number of waterheater household owns 0 0 Number of radio household owns 0 0 Number of tv household owns 0 0 Number of dvd household owns 0 0 Number of decodeur household owns 0 0 Number of car household owns 0 0 Number of bike household owns 0 0 Number of photo household owns 0 0 Number of video household owns 0 0 Number of hifi household owns 0 0 Number of tel household owns 0 0 Number of computer household owns 0 0 Number of generator household owns 0 0 Number of pirogue household owns 0 0 Household owns salon 0 0 Household owns ktable 0 0 Household owns bed 0 0 Household owns ofurniture 0 0 Household owns iron 0 0 Household owns stove 0 0 Household owns sewing 0 0 Household owns moulinex 0 0 Household owns foyer 0 0 Household owns fridge 0 0 Household owns fan 0 0 Household owns aircond 0 0 Household owns waterheater 0 0 Household owns radio 0 0 Household owns tv 0 0 Household owns dvd 0 0 Household owns decodeur 0 0 Household owns car 0 0 Household owns bike 0 0 Household owns photo 0 0 Household owns video 0 0 Household owns hifi 0 0 Household owns tel 0 0 Household owns computer 0 0 Household owns generator 0 0 Household owns pirogue 0 0 Rural: agricultural wealth index 0 0 Non-agricultural wealth index, rural + urban 0 0 Urban: non-agricultural wealth index 0 0 Rural: non-agricultural wealth index 0 0 land owned, hectacres 0 0 Land owned that is fallow, hectares 0 0 land owned on which there is a construction against erosion 0 0 hh is landless 0 0 land ownership quintiles 0 0 HH is connected to drinking water system 0 0 Nber of rooms in the dwelling 0 0 time to main drinking water point during dry season, min 0 0 HH is connected to electric system 0 0 HH uses electricity as main source of lightening 0 0 HH participe to a waste disposal system (depotoire public, ramassage 0 0 HH uses improved sanitations (W.C avec chasse d'eau, latrines couvertes) 0 0 Community has primary 0 0 Community has secondary 0 0 Community has literacy 0 0 Community has health 0 0 Community has drugstore 0 0 Community has post 0 0 Community has market 0 0 Community has microf 0 0 Community has station 0 0 Community has road 0 0 Community has state 0 0 Community has agorg 0 0 distance in km to dist_primary 0 0 distance in km to dist_secondary 0 0 distance in km to dist_literacy 0 0 distance in km to dist_health 0 0 distance in km to dist_drugstore 0 0 distance in km to dist_post 0 0 distance in km to dist_market 0 0 distance in km to dist_microf 0 0 distance in km to dist_station 0 0 distance in km to dist_road 0 0 distance in km to dist_state 0 0 distance in km to dist_agorg 0 0 distance in km to dist_radio 0 0 HH has savings: 1=yes/0=no 0 0 HH has access to credit: 1=yes/ 0=no 0 0 Amount of last credit contacted imputed, xof 0 0 Le menage s'est preoccuper d'avoir suffisament a  manger durant les 7 derniers jr 0 0 Le menage a ete face a  une situation oa il n'y avait pas suffisament a  manger po 0 0 Lack of diversification, hh eating mos of the time the same thing 0 0 hh was hungry (not enough food/no money) 0 0 HH received informal transfers 0 0 HH received cereals 0 0 HH had a child who benefited from school feeding 0 0 HH participated to public works/food for work programs 0 0 HH benefited from child programs: nutrition/healthcare for under 5/ bednets 0 0 HH benefited from a cash transfer program 0 0 HH benefited from a scholarship 0 0 HH received pensions: retirement/disability/widow 0 0 HH received subventions for ag inputs 0 0 HH received at least one type of formal transfers last 12 months 0 0 Shock faced by hh last 3 years:drought 0 0 Shock faced by hh last 3 years:flood 0 0 Shock faced by hh last 3 years:crop_disease 0 0 Shock faced by hh last 3 years:anim_disease 0 0 Shock faced by hh last 3 years:low_price 0 0 Shock faced by hh last 3 years:high_input_p 0 0 Shock faced by hh last 3 years:high_food_p 0 0 Shock faced by hh last 3 years:notransfer 0 0 Shock faced by hh last 3 years:loss_agrev 0 0 Shock faced by hh last 3 years:bankrupt 0 0 Shock faced by hh last 3 years:loss_salary 0 0 Shock faced by hh last 3 years:loss_job 0 0 Shock faced by hh last 3 years:illness 0 0 Shock faced by hh last 3 years:death 0 0 Shock faced by hh last 3 years:divorse 0 0 Shock faced by hh last 3 years:theft 0 0 Shock faced by hh last 3 years:violence 0 0 Shock faced by hh last 3 years:locust 0 0 pc expenditures, hhexp/hhsize 0 0 rural pcexp quintiles 0 0 rural pcexp deciles 0 0 rural & urban pcexp deciles 0 0 urban pcexp quintiles 0 0 urban pcexp deciles 0 0 rural & urban pcexp quintiles 0 0 region 0 0 1 Kayes 2 Koulikoro 3 Sikasso 4 Segou 5 Mopti 6 Tombouctou 7 Gao 9 Bamako cercle 0 0 region 0 0 prix_riz 0 0 inflation-riz 0 0 prix_mais 0 0 inflation-maiss 0 0 prix_mil 0 0 inflation-mil 0 0 prix_sorgho 0 0 inflation-sorgho 0 0 Grappe 0 0 itemid 0 0 unit 0 0 price per unit 0 0 conversion in kg 0 0 price per kg 0 0 label 0 0 kcal 0 0 0 0 1 master only (1) 2 using only (2) 3 matched (3) 4 missing updated (4) 5 nonmissing conflict (5)