COD_2017_RIMA_v01_EN_M_v01_A_OCS DDI_COD_2017_RIMA_v01_EN_M_v01_A_OCS_FAO Ellestina Jumbe Office of Chief Statistician Nesstar Publisher COD_2017_RIMA_v01_EN_M_v01_A_OCS Resilience Index Measurement and Analysis, Democratic Republic of the Congo, 2017 RIMA, COD, 2017 COD_2017_RIMA_v01_EN_M_v01_A_OCS Food and Agriculture Organization World Food Programme International Fund for Agricultural Development Government of Canada Nesstar Publisher FAO RIMA Team Other Household Survey [hh/oth] Household characteristics Nutritional diversity Coping strategies Social networks Shocks Perception Exposure to conflicts Employment Productivity Credit Agriculture The Rome-based United Nations agencies (RBA), which include FAO, WFP, and IFAD, with support from the Government of Canada, are implementing a programme to strengthen livelihood resilience in the context of protracted crises in the Democratic Republic of the Congo (COD), Niger and Somalia. The programme will contribute to building sustainable food security and resilience to shocks and stressors among men, women, boys and girls and households, with a particular focus on vulnerable women and children. Thus, the programme focuses on: i) increasing the availability of and access to a nutritious, diverse and stable food supply; ii) increasing the quantity and quality of productive assets at the household and community level; iii) nutrition; iv) strengthening effective governance of common natural resources; and v) enhancing gender equality, through gender mainstreaming in all interventions aimed at empowering women. Democratic Republic of the Congo Regional Households Sample survey data [ssd] Household characteristics - Nutritional diversity - Coping strategies - Social networks - Shocks - Perception - Exposure to conflicts - Employment - Productivity - Credit - Agriculture In COD, the programme is implemented in Rutshuru territory in North Kivu Province. Approximately 12,500 households are supported, mainly through community-based organizations. Stratified sampling proportional to the population was adopted to collect enough observations to be statistically representative at the administrative level of the territories. The territories of Masisi and Rutshuru were selected as primary sampling units (PSUs). The final sample is approximately 1,724 households that provided statistically representative information for each of the two selected territories. The total sample size was 470 households for Masisi and 535 for Rutshuru. Details of the sample are provided in Annex I of the attached report. Computer Assisted Personal Interview [capi] Please refer to the Questionnaire for the value labels of the variables. Data were collected in July and August 2017 using both questionnaires and anthropometric equipment. No weighting Collected data were entered into Excel, coded, and analyzed with SPSS and ENA for SMART software. 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 FAO. Resilience Index Measurement and Analysis (RIMA), Democratic Republic of the Congo, 2017. Dataset downloaded from https://microdata.fao.org. 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 anon_dataset.NSDstat 0 175 Nesstar 200801 Please refer to the Questionnaire to the value labels of the variables. 0 0 genre du chef de menage 0 0 1 Masculin 2 Feminin num_hhmembers 0 0 association sociale 0 0 compter sur les proches en cas de besoin 0 0 0 Non 1 Oui 0 0 etat civil du chef de menage 0 0 1 Marie(e) (monogame) 2 Divorce(e) 3 Celibataire 4 Veuf/Veuve 5 Separe(e) 6 999. NA 0 0 acces au credit 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 1 0 0 1 0 2 1 0 0 1 0 2 1 3 2 4 3 5 4 6 5 7 6 8 7 9 8 10 9 11 10 12 11 13 12 0 0 1 0 2 1 distance imputed 0 0 1 0.00555555569007993 2 0.00628930795937777 3 0.00769230769947171 4 0.00833333376795053 5 0.00999999977648258 6 0.0111111113801599 7 0.0125000001862645 8 0.0133333336561918 9 0.0142857143655419 10 0.0153846153989434 11 0.0166666675359011 12 0.0199999995529652 13 0.0222222227603197 14 0.025000000372529 15 0.0277777779847383 16 0.0285714287310839 17 0.03125 18 0.0333333350718021 19 0.0399999991059303 20 0.0416666679084301 21 0.0454545468091965 22 0.0500000007450581 23 0.0555555559694767 24 0.0625 25 0.0666666701436043 26 0.0714285746216774 27 0.0833333358168602 28 0.100000001490116 29 0.111111111938953 30 0.125 31 0.133333340287209 32 0.142857149243355 33 0.16666667163372 34 0.200000002980232 35 0.25 36 0.333333343267441 37 0.5 38 0.666666686534882 39 1 40 2 41 3.33333325386047 42 10 distance imputed 0 0 1 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0.0133333336561918 25 0.0142857143655419 26 0.0153846153989434 27 0.0161290317773819 28 0.0166666675359011 29 0.0185185186564922 30 0.0199999995529652 31 0.020833333954215 32 0.0222222227603197 33 0.025000000372529 34 0.0263157896697521 35 0.0270270276814699 36 0.0277777779847383 37 0.0285714287310839 38 0.0294117648154497 39 0.0333333350718021 40 0.0357142873108387 41 0.0399999991059303 42 0.0416666679084301 43 0.0500000007450581 44 0.0555555559694767 45 0.0588235296308994 46 0.0666666701436043 47 0.0714285746216774 48 0.0769230797886848 49 0.0833333358168602 50 0.100000001490116 51 0.111111111938953 52 0.125 53 0.133333340287209 54 0.142857149243355 55 0.16666667163372 56 0.200000002980232 57 0.25 58 0.333333343267441 59 0.400000005960464 60 0.5 61 0.666666686534882 62 1 63 1.25 64 1.66666662693024 65 2 66 3.33333325386047 0 0 0 0 0 0 0 0 0 0 0 0 0 0 acces a  la terre 0 0 0 0 0 0 0 0 0 0 0 0 0 0 transferts formels 0 0 transferts formels en dollars 0 0 transferts informels 0 0 transferts informels en dollars 0 0 transferts emis 0 0 transferts emis en dollars 0 0 , imputed 0 0 , imputed 0 0 0 0 , imputed 0 0 , imputed 0 0 transferts formels en dollars, imputed 0 0 transferts informels en dollars, imputed 0 0 transferts emis en dollars, imputed 0 0 formation en technique agricole 0 0 0 0 0 0 livestock ownership, number 0 0 livestock ownership, number 0 0 livestock ownership, number 0 0 livestock ownership, number 0 0 livestock ownership, number 0 0 livestock ownership, number 0 0 TLU weights 0 0 TLU weights 0 0 TLU weights 0 0 TLU weights 0 0 TLU weights 0 0 TLU weights 0 0 tropical livestock unit - calculated 0 0 (sum) salaire 0 0 (sum) usd_salaire 0 0 0 0 0 0 0 0 0 0 0 0 access to basic services 0 0 assets 0 0 social safety net 0 0 adaptive capacity 0 0 number of days 0 0 number of days 0 0 number of days 0 0 number of days 0 0 number of days 0 0 number of days 0 0 number of days 0 0 number of days 0 0 number of days 0 0 number of days 0 0 number of days 0 0 number of days 0 0 number of days 0 0 number of days 0 0 food consumption score calculated by food type 0 0 food consumption score calculated by food type 0 0 food consumption score calculated by food type 0 0 food consumption score calculated by food type 0 0 food consumption score calculated by food type 0 0 food consumption score calculated by food type 0 0 food consumption score calculated by food type 0 0 food consumption score calculated by food type 0 0 food consumption score calculated by food type 0 0 food consumption score 0 0 household dietary diversity score 0 0 0 0 0 0 0 0 amount spent, local currency 0 0 amount spent, local currency 0 0 amount spent, local currency 0 0 amount spent, local currency 0 0 amount spent, local currency 0 0 amount spent, local currency 0 0 amount spent, local currency 0 0 amount spent, local currency 0 0 amount spent, local currency 0 0 amount spent, local currency 0 0 amount spent, local currency 0 0 amount spent, local currency 0 0 total expenditure, local currency 0 0 total expenditure, usd 0 0 , imputed 0 0 per capita food expenditure 0 0 Factor score (Resilience) 0 0 rescaled abs 0 0 rescaled ast 0 0 rescaled ac 0 0 rescaled ssn 0 0 rescaled resilience 0 0 0 0 0 0 0 0 0 0 0 0 0 0 dummy for shock Floods 0 0 dummy for shock Drought 0 0 dummy for shock Plant_pathologies 0 0 dummy for shock Livestock_death 0 0 dummy for shock Bankrupcy 0 0 dummy for shock Increase_food_prices 0 0 dummy for shock High_input_prices 0 0 dummy for shock Water_shortage 0 0 dummy for shock Bad_harvest 0 0 dummy for shock Loss_land 0 0 dummy for shock Accident 0 0 dummy for shock Serious_illness 0 0 dummy for shock Clashes 0 0 dummy for shock Death_hh 0 0 dummy for shock Inability_pay_loan 0 0 dummy for shock Forced_Displacement 0 0 dummy for shock Storm 0 0 dummy for shock Damage_production 0 0 dummy for shock Loss_job 0 0 dummy for shock Crisis_community_politics 0 0 dummy for shock Fire 0 0 dummy for shock Bad_fishing_season 0 0 dummy for shock Loss_fishing_gear 0 0 dummy for shock Other 0 0 consolidated weather_shock 0 0 consolidated illness_shock 0 0 consolidated income_shock 0 0 consolidated income_related_shock 0 0 consolidated fire_shock 0 0 consolidated conflict_shock 0 0 consolidated conflict_related_shock 0 0 consolidated production_shock 0 0 consolidated other_shock 0 0 (sum) fatalities 0 0 (sum) conflict 0 0 coping strategy index - calculated 0 0 inverted csi 0 0 (sum) adul_equivalent 0 0 (sum) female_15_49 0 0