SEN_2015_RIMA_v01_EN_M_v01_A_OCS DDI_SEN_2015_RIMA_v01_EN_M_v01_A_OCS_FAO Ellestina Jumbe Office of Chief Statistician Nesstar Publisher SEN_2015_RIMA_v01_EN_M_v01_A_OCS Resilience Index Measurement and Analysis, Senegal, 2015 RIMA, SEN, 2015 SEN_2015_RIMA_v01_EN_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 Households Sample survey data [ssd] 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 FAO. Resilience Index Measurement and Analysis (RIMA), Senegal, 2015. Dataset downloaded from https://microdata.fao.org. 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DR8141125uuid:baad66b4-1d6c-4a9f-9327-7511b53d2358 1 DR8141131uuid:724f990e-cf71-4691-89ad-a66075891edc 1 DR8141137uuid:a89189b2-c0b4-403c-9551-2412476dd2cd 1 DR8141143uuid:b3980524-6585-4d51-95c9-dd41b80cb084 1 DR8141149uuid:31fa05c0-09de-420f-84ea-c5c465e071bf 1 DR8141155uuid:e7f8e030-8140-453c-af07-9ab4e6a065f9 1 DR8141161uuid:e623b7ba-ff81-4533-bdd8-ea7ab1367448 1 DR8141168uuid:0e44b688-75de-4178-870d-efe6cc385d6b 1 DR9151112uuid:260e2788-5318-4535-9c62-07d0d6d2db6a 1 DR9151116uuid:674cac9d-9abd-4ca2-9653-4385e54aa4e0 1 DR9151119uuid:723b6443-02dd-415b-a0c0-093b4e94216b 1 DR9151120uuid:0d80e2d0-ce6c-4dd2-bc3d-eeb7250e3a89 1 DR9151124uuid:63634b5e-9b67-4a78-b199-523c9904b9c0 1 DR9151128uuid:5b1adc12-0c17-41cc-aa12-54d5e9ad326f 1 DR9151132uuid:9c8824b6-a9aa-4faa-9671-72e7727a91e9 1 DR9151136uuid:29abdd15-a611-45d5-9615-21dcafd0dba9 1 DR9151140uuid:9031a3b0-ee3f-4923-895c-fd520c544f49 1 DR9151141uuid:637b25e4-a661-420c-9f1a-278910d3a26d 1 DR9151144uuid:7ef19b2b-f0b7-40e9-8160-3f5e107d41c0 1 DR9151148uuid:5f1b8f96-f8b3-4585-a7f5-69e91e56f561 1 DR915114uuid:94d1910c-a655-42ca-93e3-5816493f72ee 1 DR9151152uuid:043d9ddc-5eb2-434a-97a8-b05801d86629 1 DR9151156uuid:90ef06b4-6830-4531-9198-4fd2a9e8b919 1 DR9151162uuid:09d2c63c-01f6-47a6-849b-eae5488a59ec 1 (sum) cereals_expenditure_dol 413 1 0 74.616 20.865 16.224 (sum) caffe_expenditure_dol 413 1 0 34.09 7.882 5.428 (sum) fruit_expenditure_dol 414 0 0 5.74 0.215 0.759 (sum) meat_expenditure_dol 414 0 0 66.093 9.432 11.267 (sum) milk_expenditure_dol 413 1 0 20.872 1.715 3.09 (sum) oil_expenditure_dol 414 0 0 34.786 9.329 9.204 (sum) sugar_expenditure_dol 413 1 0 34.09 7.882 5.428 (sum) tuber_expenditure_dol 414 0 0 10.958 1.03 1.58 (sum) legume_expenditure_dol 414 0 0 32.786 6.576 5.238 gross food expenditure, dollars 414 0 4.348 219.325 64.835 39.815 number of agri inputs 262 152 0 16 2.645 3.464 0 106 1 43 2 16 3 17 4 18 5 15 6 8 7 8 8 8 9 6 10 6 11 5 12 1 13 2 14 1 15 1 16 1 Sysmiss 152 agri_inputs dummy 262 152 0 1 0.595 0.492 0 106 1 156 Sysmiss 152 (sum) input_value 262 152 0 3680.346 231.278 594.166 vale of the house in $, imputed 414 0 86.965 69571.75 7821.97 10579.816 dummy one for rural and zero for urban 413 1 0 1 0.542 0.499 0 189 1 224 Sysmiss 1 valeur monetaire de la maison imp - fca 414 0 50000 40000000 4574142.512 6290719.022 414 0 86.965 173929.375 11146.583 21914.871 valeur monetaire de la maison imp - us$ 414 0 86.965 69571.75 7955.778 10941.408 log - valeur monetaire de la maison imp - us$ 414 0 4.466 11.15 8.149 1.394 dummy 414 0 1 0 405 2 1 9 dummy 414 0 1 0 394 2 1 20 dummy 414 0 1 0 391 2 1 23 dummy 414 0 1 0 414 2 1 0 dummy 414 0 0 1 0.336 0.473 0 275 1 139 dummy 414 0 1 0 414 dummy 414 0 1 0 287 2 1 127 dummy 414 0 0 1 0.599 0.491 0 166 1 248 dummy 414 0 0 1 0.886 0.318 0 47 1 367 dummy 414 0 0 1 0.647 0.478 0 146 1 268 dummy 414 0 0 1 0.71 0.454 0 120 1 294 dummy 414 0 0 1 0.785 0.411 0 89 1 325 dummy 414 0 0 1 0.877 0.329 0 51 1 363 dummy 414 0 0 1 0.862 0.345 0 57 1 357 dummy 414 0 0 1 0.169 0.375 0 344 1 70 dummy 414 0 0 1 0.379 0.486 0 257 1 157 dummy 414 0 0 1 0.169 0.375 0 344 1 70 dummy 414 0 0 1 0.502 0.501 0 206 1 208 dummy 414 0 0 1 0.271 0.445 0 302 1 112 dummy 414 0 0 1 0.29 0.454 0 294 1 120 dummy 414 0 0 1 0.302 0.46 0 289 1 125 dummy for engrais_in 189 225 0 1 0.164 0.371 0 158 1 31 Sysmiss 225 dummy for engrais_or 186 228 0 1 0.183 0.388 0 152 1 34 Sysmiss 228 dummy for insecticides 185 229 0 1 0.141 0.348 0 159 1 26 Sysmiss 229 dummy for herbicides 185 229 0 1 0.162 0.37 0 155 1 30 Sysmiss 229 dummy for semences_loc 185 229 0 1 0.151 0.359 0 157 1 28 Sysmiss 229 dummy for semences_hyb 185 229 0 1 0.211 0.409 0 146 1 39 Sysmiss 229 dummy for graines_ac 185 229 0 1 0.168 0.374 0 154 1 31 Sysmiss 229 dummy for insemination_art 185 229 0 1 0.151 0.359 0 157 1 28 Sysmiss 229 dummy for veterinaire 185 229 0 1 0.13 0.337 0 161 1 24 Sysmiss 229 dummy for transport 185 229 0 1 0.162 0.37 0 155 1 30 Sysmiss 229 dummy for enrobage 185 229 0 1 0.178 0.384 0 152 1 33 Sysmiss 229 dummy for bineuse 185 229 0 1 0.205 0.405 0 147 1 38 Sysmiss 229 dummy for charrue 185 229 0 1 0.119 0.325 0 163 1 22 Sysmiss 229 dummy for charrue_oxen 185 229 0 1 0.157 0.365 0 156 1 29 Sysmiss 229 dummy for marteau 185 229 0 1 0.151 0.359 0 157 1 28 Sysmiss 229 dummy for sickle 185 229 0 1 0.168 0.374 0 154 1 31 Sysmiss 229 dummy for pelle 185 229 0 1 0.178 0.384 0 152 1 33 Sysmiss 229 dummy for sac 185 229 0 1 0.135 0.343 0 160 1 25 Sysmiss 229 dummy for tracteur_ag 185 229 0 1 0.178 0.384 0 152 1 33 Sysmiss 229 dummy for hache 185 229 0 1 0.162 0.37 0 155 1 30 Sysmiss 229 dummy for irrigation 184 230 1 0 142 2 1 42 Sysmiss 230 dummy for charrette_ag 184 230 0 1 0.163 0.37 0 154 1 30 Sysmiss 230 dummy for pompe 176 238 0 1 0.131 0.338 0 153 1 23 Sysmiss 238 select livestock 263 151 1 9 1 bovins (boeuf, vaches, etc) 37 2 caprins(chevres, bouc) 29 3 camelins(chameau, dromadaire) 27 4 equins (chevaux, juments) 33 5 ovins(mouton…) 29 6 asins(anes) 27 7 volailles(poules, canards, etc.) 33 8 porcins (porcs) 26 9 autres (specifiez) 22 Sysmiss 151 in the past 12 months have you raised or owned 263 151 0 1 0 non 191 1 oui 72 Sysmiss 151 other livestock 8 406 0 0 0 0 0 8 Sysmiss 406 how much of this livestock did hh have 12 months ago? 93 321 0 206 9.968 33.82 how many cattle were born 93 321 0 55 2.194 8.011 how much of cattle was donated 93 321 0 26 0.398 2.817 how much of this livestock did you purchase to raise 93 321 0 57 0.914 6.061 how much did you spend to buy cattle 7 407 0 240000 61428.714 95990.964 how much of this cattle was donated 93 321 0 0 0 0 0 93 Sysmiss 321 how much was lost or stolen 93 321 0 13 0.72 2.393 0 80 1 4 2 2 5 2 6 1 8 1 10 1 12 1 13 1 Sysmiss 321 how much of livestock did your household sell 93 321 0 200000 2688.247 21322.554 total livestock sales value in fcfa 5 409 45000 520000 303000 203641.842 minutes to nearest cattle market 93 321 0 120 9.398 20.907 how much of livestock did you slaughter 93 321 0 3 0.0538 0.342 0 90 1 2 3 1 Sysmiss 321 how many animals died in past 12 months 93 321 0 35 0.957 4.131 Livestock value in $, imputed 72 342 0 15653.644 779.445 2606.135 livestock code 263 151 1 9 4.76 2.565 1 37 2 29 3 27 4 33 5 29 6 27 7 33 8 26 9 22 Sysmiss 151 how much of this livestock does your household currently own 72 342 0 80 9.431 15.331 number of bovins 8 406 0 56 13.212 18.773 number of caprins 15 399 0.2 3 1.173 1.006 number of cheaveus 11 403 0 0.8 0.727 0.241 number of ovins 22 392 0.1 8 1.155 1.949 number of anes 4 410 0.7 1.4 1.05 0.404 number of poulets 11 403 0.02 0.15 0.0745 0.0432 total livestock 414 0 0 56 0.391 3.095 tropical livestock unit 414 0 0 64.25 3.21 8.013 dummy for main light source 414 0 1 0 220 2 1 194 la distance (min) de la source d'eau - imp 414 0 0 60 6.635 12.016 distance (mn) ecole - imp 414 0 0 120 15.181 16.505 distance (mn) structure de sante - imp 414 0 0 180 24.502 29.741 distance (mn) structure de guerriseur traditionnel - imp 414 0 0 120 13.582 18.888 distance (mn) structure de hopital - imp 414 0 0 380 84.894 81.691 distance (mn) transport public - imp 414 0 0 180 23.684 32.988 distance (mn) marche de produits alimentaire - imp 414 0 0 180 20.464 30.528 dummy 0 for no toiltette facility 414 0 1 0 117 2 1 297 dummy 0 if no safe waste disposal 1 if camion or authorized deposit 121 293 0 1 0.678 0.469 0 39 1 82 Sysmiss 293 dumy 1 for having a credit contracted before nov. 2014 414 0 0 1 0.213 0.41 0 326 1 88 monetary value of credit contracted before nov. 2014 - mro - imp 414 0 0 750000 20597.705 66507.196 monetary value of credit contracted before nov. 2014 - usd - imp 414 0 0 1304.47 35.825 115.676 dumy 1 for having a credit contracted during last 12 months 414 0 0 1 0.114 0.318 0 367 1 47 number of produced crops 209 205 0 3 1.182 0.551 0 8 1 163 2 30 3 8 Sysmiss 205 number of produced crops over max in the sample- max 4 209 205 0 0.75 0.295 0.138 (max) rice 209 205 0 1 0.196 0.398 0 168 1 41 Sysmiss 205 (max) wheat 202 212 0 0 0 0 0 202 Sysmiss 212 (max) millet 202 212 0 1 0.668 0.472 0 67 1 135 Sysmiss 212 (max) sorghum 193 221 0 1 0.145 0.353 0 165 1 28 Sysmiss 221 (max) maize 188 226 0 1 0.0638 0.245 0 176 1 12 Sysmiss 226 (max) manioc 186 228 0 0 0 0 0 186 Sysmiss 228 (max) i_potato 186 228 0 0 0 0 0 186 Sysmiss 228 (max) s_potato 186 228 0 1 0.00538 0.0733 0 185 1 1 Sysmiss 228 (max) igname 186 228 0 0 0 0 0 186 Sysmiss 228 (max) beans 186 228 0 1 0.00538 0.0733 0 185 1 1 Sysmiss 228 (max) lentils 186 228 0 0 0 0 0 186 Sysmiss 228 (max) peas 186 228 0 0 0 0 0 186 Sysmiss 228 (max) soybeans 186 228 0 0 0 0 0 186 Sysmiss 228 (max) cabbage 186 228 0 0 0 0 0 186 Sysmiss 228 (max) other_leaf 186 228 0 0 0 0 0 186 Sysmiss 228 (max) lettuce 186 228 0 1 0.00538 0.0733 0 185 1 1 Sysmiss 228 (max) tomato 186 228 0 1 0.00538 0.0733 0 185 1 1 Sysmiss 228 (max) fruits 186 228 0 1 0.00538 0.0733 0 185 1 1 Sysmiss 228 (max) onion 186 228 0 0 0 0 0 186 Sysmiss 228 (max) niebe 186 228 0 1 0.118 0.324 0 164 1 22 Sysmiss 228 (max) pepper 186 228 0 0 0 0 0 186 Sysmiss 228 (max) sesame 186 228 0 1 0.00538 0.0733 0 185 1 1 Sysmiss 228 (max) other 149 265 0 1 0.0201 0.141 0 146 1 3 Sysmiss 265 land in hectare 209 205 0 12 1.269 1.56 monetary value of land in fca 209 205 0 8000000 757672.244 1198939.079 monetary value of land in usd - imp - sum over crops 209 205 0 13914.351 1075.853 1517.151 quantity of harvested crops in the last season 209 205 0 4000 468.81 729.369 monetary value of harvested crops last season - fca 209 205 0 1000000 131288.756 191610.956 monetary value of harvested crops last season - usd - imp 209 205 0 1739.294 228.35 333.268 quantity of harvested crops in the last year 209 205 0 5500 485.841 805.582 monetary value of harvested crops last year - fca 209 205 0 3750000 137206.818 310606.855 monetary value of harvested crops last season - usd - imp 209 205 0 1739.294 194.755 279.096 quantity of harvested crops sold in the last year 209 205 0 2500 28.799 181.704 monetary value of harvested crops sold last year - cfa 209 205 0 115000 5274.402 17396.802 monetary value of harvested crops sold ast season - usd 209 205 0 200.019 9.174 30.258 quantity of harvested crops bartered in the last year 209 205 0 100 2.809 14.744 monetary value of harvested crops bartered in last year - fca 209 205 0 30000 734.526 4042.734 monetary value of harvested crops bartered in last season - usd - imp 209 205 0 52.179 1.278 7.032 quantity of harvested crops reimbursed in the last year 209 205 0 100 5.086 19.719 quantity of harvested crops consumed in the last year 209 205 0 2000 133.866 286.175 quantity of harvested crops stored in the last year 209 205 0 1500 130.557 279.946 sum cons_y and stor_y 209 205 0 5550 301.117 606.352 (max) food_shock7 414 0 0 1 0.428 0.495 0 237 1 177 (max) shock_sign 414 0 0 1 0.217 0.413 0 324 1 90 (max) csi 177 237 3 122 32.497 20.363 (max) members_employed 414 0 0 3 0.179 0.453 0 351 1 53 2 9 3 1 (max) hhtotal_wage 414 0 0 5850000 134745.336 506318.741 (max) hhtotal_wage_dol 414 0 0 10174.869 234.362 880.637 (sum) total_wage 414 0 0 5850000 134745.336 506318.741 (sum) wage_sal 414 0 0 5400000 115805.604 443143.663 (sum) kind_sal 414 0 0 1980000 14654.589 130722.778 (sum) occasional_sal 414 0 0 252500 4285.143 21978.966 (sum) total_wage_dol 414 0 0 10174.869 234.362 880.637 (sum) wage_sal_dol 414 0 0 9392.187 201.42 770.757 (sum) kind_sal_dol 414 0 0 3443.802 25.489 227.365 (sum) occasional_sal_dol 414 0 0 439.172 7.453 38.228 livelihood 132 282 1 6 1 pastorale 3 2 agro-pastorale 62 3 agricole 63 4 fluvial 0 5 pêcheur 2 6 urbain 2 7 autre [specifiez] 0 Sysmiss 282 livelihood_other 0 0 ethnic group 135 279 17 25 1 baïnouck 0 2 badiaranké 0 3 balante 0 4 bambara 0 5 bassari 0 6 bédick 0 7 coniagui 0 8 créole 0 9 diahanké 0 10 dialonké 0 11 diola 0 12 fula 0 13 khassonké 0 14 lébou 0 15 mancagne 0 16 manding 0 17 manjaag 1 18 maure 0 19 halpulaar 127 20 sarakholé 0 21 sérer 0 22 socé 0 23 soninké 4 24 soussou 0 25 wolof 3 26 autres à préciser 0 Sysmiss 279 fish sale dollar 8 406 2 75000 9481 26474.479 (max) fish_sale 8 406 0.0435 1739.294 234.593 608.998 (max) unit_fish 8 406 5.8e-07 8.696 1.884 2.894 (max) unit_fish_dol 8 406 1.01e-09 0.0151 0.00328 0.00503 (max) fish_sale_dol 8 406 7.56e-05 3.025 0.408 1.059 number of hired people for hh activity 414 0 0 43 1.104 4.919 value of hired people for hh activity - fca 414 0 0 425000 2266.928 23228.975 value of hired people for hh activity usd 414 0 0 739.2 3.943 40.402 (max) agr 4 410 3 16 9 5.715 3 1 6 1 11 1 16 1 Sysmiss 410 (max) agr_d 4 410 1 1 1 0 1 4 Sysmiss 410 monetary value of product sold - mro 4 410 0 0 0 0 0 4 Sysmiss 410 monetary value of product sold imp - fca 4 410 0 0 0 0 0 4 Sysmiss 410 monetary value of product sold imp - usd 4 410 0 0 0 0 0 4 Sysmiss 410 dummy for getting a training 4 410 0 0 0 0 0 4 Sysmiss 410 1 for selling livestock in the last 12 months 4 410 0 0 0 0 0 4 Sysmiss 410 monetary value of livestock sold - fca 4 410 0 0 0 0 0 4 Sysmiss 410 monetary value of livestock sold - dol 4 410 0 0 0 0 0 4 Sysmiss 410 monetary value of livestock sold - dol - no unit price 4 410 0 0 0 0 0 4 Sysmiss 410 total value of other income - fca 4 410 0 2500 625 1250 total value of other income - imp - usd 4 410 0 4.348 1.087 2.174 total value of other income - fca - reduced 4 410 0 0 0 0 0 4 Sysmiss 410 total value of other income - imp - usd - reduced 4 410 0 0 0 0 0 4 Sysmiss 410 vale of gift - imp- fca 1 413 2500 2500 2500 2500 1 Sysmiss 413 vale of gift - imp- usd 1 413 4.348 4.348 4.348 dummy for having received cash transfers in the last 12 months 4 410 0 1 0.25 0.5 0 3 1 1 Sysmiss 410 dummy equal to 1 for receiving cash transfers when most needed 1 413 0 0 0 0 1 Sysmiss 413 monetary value of received cash transfers - fca 4 410 0 45000 11250 22500 monetary value of received cash transfers - imp - usd 4 410 0 78.268 19.567 39.134 dummy for having received in-kind transfers in the last 12 months 4 410 0 1 0.25 0.5 0 3 1 1 Sysmiss 410 dummy equal to 1 for receiving in-kind transfers when most needed 1 413 1 1 1 1 1 Sysmiss 413 monetary value of received in-kind transfers - fca 4 410 0 135000 33750 67500 monetary value of received in-kind transfers - imp - usd 4 410 0 234.805 58.701 117.402 total received transfers cash and in-kind - imp- fca 4 410 0 180000 45000 90000 total received transfers cash and in-kind - imp - usd 4 410 0 313.073 78.268 156.536 participation dummy of part_agri 4 410 0 1 0.75 0.5 0 1 1 3 Sysmiss 410 participation dummy of part_empl 4 410 0 1 0.75 0.5 0 1 1 3 Sysmiss 410 participation dummy of part_fish 4 410 1 1 1 0 1 4 Sysmiss 410 participation dummy of part_livprod 4 410 0 0 0 0 0 4 Sysmiss 410 participation dummy of part_liv 4 410 0 0 0 0 0 4 Sysmiss 410 participation dummy of part_fishliv 4 410 1 1 1 0 1 4 Sysmiss 410 participation dummy of part_other 4 410 0 0 0 0 0 4 Sysmiss 410 dummy for transfers 4 410 0 1 0.25 0.5 0 3 1 1 Sysmiss 410 sum of participation 4 410 2 4 2.75 0.957 2 2 3 1 4 1 Sysmiss 410 participation index 4 410 0.533 1.478 0.973 0.407 total income - fca 4 410 1.739 1750002.625 593302.189 799032.37 total income - usd 4 410 -2118.104 3043.769 247.505 2122.106 total income - fca, imputed 4 410 1.739 1750002.625 593302.189 799032.37 total income - usd, imputed 4 410 -2118.104 3043.769 247.505 2122.106 departement 412 2 1 3 1 matam 199 2 kanel 130 3 ranerou 83 Sysmiss 2 commune 302 112 11 32 11 com .matam 27 12 com. ourossogui 13 13 com. thilogne 12 14 com. nguidilogne 3 15 agnam-civol 22 16 ogo 67 21 com. kanel 3 22 com. semme 4 23 com. waounde 6 24 com. hamady ounare 6 25 com. sinthiou bamanbe-banadji 6 26 com. odobere 6 27 orkadiere 27 28 ouro sidy 17 31 com. ranerou 23 32 velingara 60 Sysmiss 112 max number pf children per hh 260 154 1 10 4.681 2.669 1 22 2 47 3 36 4 29 5 39 6 26 7 18 8 10 9 10 10 23 Sysmiss 154 marital status of hhead 389 25 1 5 1.846 1.361 1 230 2 100 3 1 4 5 5 53 Sysmiss 25 age head of hh 358 56 18 65 53.774 10.713 female headed hh 404 10 0 1 0.203 0.403 0 322 1 82 Sysmiss 10 female hh head de iure - divorce, separe 414 0 0 1 0.133 0.34 0 359 1 55 number of people in hh 387 27 5 16 11.463 3.598 5 52 10 183 15 86 16 66 Sysmiss 27 number of females in hh 414 0 0 31 5.623 3.681 number of males in hh 414 0 0 26 5.171 3.325 dependency ratio - actives/hhsize 414 0 0 1 0.554 0.194 dependency ratio - actives/dependents 414 0 0 12 1.74 1.972 share of children 414 0 0 0.857 0.402 0.195 number of illiterate people in hh 414 0 0 33 7.589 4.804 average years of education in hh 414 0 0 18 2.241 2.43 average years of education people >=15 & <=60 386 28 0 13 2.053 2.402 average years of education adult people >=15 390 24 0 13 2.063 2.383 years of education hh head 312 102 6 10 6.5 1.325 6 273 10 39 Sysmiss 102 highest years of education in hh 414 0 0 22 7.058 5.358 community influence for better local services: increasing 414 0 0 4 2.217 1.194 0 66 1 24 2 115 3 172 4 37 decision-making process: increasing 414 0 0 4 2.507 1.507 0 65 1 70 2 21 3 106 4 152 dummy for theft_burglaries 414 0 0 1 0.534 0.499 0 193 1 221 dummy for assasination 414 0 0 1 0.0217 0.146 0 405 1 9 dummy for domestic_violence 414 0 0 1 0.0411 0.199 0 397 1 17 dummy for gender_violence 414 0 0 1 0.0266 0.161 0 403 1 11 dummy for mines_ordnance 414 0 0 1 0.00725 0.0849 0 411 1 3 dummy for land_grabbing 414 0 0 1 0.00242 0.0491 0 413 1 1 dummy for conflict 414 0 0 1 0.00242 0.0491 0 413 1 1 dummy for invasions 414 0 0 1 0.297 0.458 0 291 1 123 dummy for cattle_raids 414 0 0 1 0.0676 0.251 0 386 1 28 well-being perception index - factor 414 0 -2.953 3.511 -4.73e-09 1.082 well-being perception index - factor - scaled 414 0 0 1 0.457 0.167 dummy shock - last month 411 3 0 1 0.00487 0.0697 0 409 1 2 Sysmiss 3 dummy shock - last year 411 3 0 1 0.114 0.319 0 364 1 47 Sysmiss 3 dummy shock - last year 409 5 0 1 0.022 0.147 0 400 1 9 Sysmiss 5 dummy shock - last year 409 5 0 1 0.0807 0.273 0 376 1 33 Sysmiss 5 dummy shock - last year 409 5 0 1 0.0244 0.155 0 399 1 10 Sysmiss 5 dummy shock - last year 409 5 0 1 0.00733 0.0854 0 406 1 3 Sysmiss 5 dummy shock - last year 408 6 0 1 0.142 0.35 0 350 1 58 Sysmiss 6 dummy shock - last year 408 6 0 1 0.262 0.44 0 301 1 107 Sysmiss 6 dummy shock - last year 408 6 0 0 0 0 0 408 Sysmiss 6 dummy shock - last year 408 6 0 1 0.0123 0.11 0 403 1 5 Sysmiss 6 dummy shock - last year 408 6 0 1 0.0343 0.182 0 394 1 14 Sysmiss 6 dummy shock - last year 408 6 0 1 0.0613 0.24 0 383 1 25 Sysmiss 6 dummy shock - last year 408 6 0 1 0.0123 0.11 0 403 1 5 Sysmiss 6 dummy shock - last year 408 6 0 1 0.0147 0.121 0 402 1 6 Sysmiss 6 dummy shock - last year 408 6 0 1 0.0539 0.226 0 386 1 22 Sysmiss 6 dummy shock - last year 408 6 0 1 0.0809 0.273 0 375 1 33 Sysmiss 6 dummy shock - last year 408 6 0 1 0.098 0.298 0 368 1 40 Sysmiss 6 dummy shock - last year 408 6 0 1 0.252 0.435 0 305 1 103 Sysmiss 6 dummy shock - last year 407 7 0 1 0.00246 0.0496 0 406 1 1 Sysmiss 7 dummy shock - last year 407 7 0 0 0 0 0 407 Sysmiss 7 dummy shock - last year 407 7 0 1 0.00737 0.0856 0 404 1 3 Sysmiss 7 dummy shock - last year 407 7 0 1 0.0221 0.147 0 398 1 9 Sysmiss 7 dummy shock - last year 407 7 0 1 0.0614 0.24 0 382 1 25 Sysmiss 7 dummy shock - last year 407 7 0 1 0.0688 0.253 0 379 1 28 Sysmiss 7 dummy shock - last year 407 7 0 0 0 0 0 407 Sysmiss 7 dummy shock - last year 407 7 0 1 0.00246 0.0496 0 406 1 1 Sysmiss 7 dummy shock - last year 407 7 0 1 0.0123 0.11 0 402 1 5 Sysmiss 7 dummy shock - last year 407 7 0 1 0.027 0.162 0 396 1 11 Sysmiss 7 dummy shock - last year 407 7 0 1 0.027 0.162 0 396 1 11 Sysmiss 7 dummy shock - last year 407 7 0 1 0.0614 0.24 0 382 1 25 Sysmiss 7 dummy shock - last year 407 7 0 0 0 0 0 407 Sysmiss 7 dummy shock - last year 407 7 0 1 0.00491 0.07 0 405 1 2 Sysmiss 7 dummy shock - last year 407 7 0 1 0.00246 0.0496 0 406 1 1 Sysmiss 7 dummy shock - last year 407 7 0 1 0.0295 0.169 0 395 1 12 Sysmiss 7 dummy shock - last year 407 7 0 0 0 0 0 407 Sysmiss 7 dummy shock - last year 407 7 0 1 0.0221 0.147 0 398 1 9 Sysmiss 7 dummy shock - last year 407 7 0 0 0 0 0 407 Sysmiss 7 dummy shock - last year 407 7 0 1 0.00491 0.07 0 405 1 2 Sysmiss 7 dummy shock - last year 406 8 0 0 0 0 0 406 Sysmiss 8 dummy shock - last year 406 8 0 0 0 0 0 406 Sysmiss 8 dummy shock - last year 406 8 0 1 0.00493 0.0701 0 404 1 2 Sysmiss 8 dummy shock - last year 406 8 0 1 0.00493 0.0701 0 404 1 2 Sysmiss 8 dummy shock - last year 406 8 0 1 0.00739 0.0857 0 403 1 3 Sysmiss 8 dummy shock - last year 406 8 0 1 0.00739 0.0857 0 403 1 3 Sysmiss 8 dummy shock - last year 406 8 0 1 0.00246 0.0496 0 405 1 1 Sysmiss 8 dummy shock - last year 406 8 0 1 0.00246 0.0496 0 405 1 1 Sysmiss 8 dummy shock - last year 355 59 0 0 0 0 0 355 Sysmiss 59 dummy shock - last year 355 59 0 1 0.00845 0.0917 0 352 1 3 Sysmiss 59 dummy for belonging to at least one association 414 0 0 1 0.186 0.39 0 337 1 77 dummy for belonging to a credit group 414 0 0 1 0.123 0.329 0 363 1 51 dummy for relying on relatives in case of need 414 0 0 1 0.493 0.501 0 210 1 204 monetary value of loss last month - fca - imp 411 3 0 1620000 68191.774 186053.07 monetary value of loss last month - imp - usd 411 3 0 2817.656 118.606 323.601 monetary value of loss last year - fca - imp 411 3 0 2500000 179911.122 346371.193 monetary value of loss last year - imp - usd 411 3 0 4348.234 312.918 602.441 number of female hh member divided by number of male hh member 409 5 0 7 1.294 0.968