Metadata Table 0.1: Sample Composition (# of Households) Table 0.2: Contact Rate Figure 1. Number of Attempts Table 0.3: Result of Interview Table 0.4: Language of interivew Figure 2. Duration Table 0.5: Sample Composition* Basic Information Table 1.1: Respondent characteristics Table 1.2: Characteristics of Household and Dependency Knowledge, behavior, and concerns Table 2.1: Knowledge of COVID-19 Symptoms (% of Respondents) Table 2.2: Knowledge of measures that risk of contracting COVID-19/ coronavirus (% of HH) Table 2.3: Knowledge of government actions to curb the spread of coronavirus (% of HH) Table 2.4. COVID-19 outbreak - awareness & government action Table 2.5. Prevalence of safe practices, since mid-March Table 2.6. COVID-19 precautions - knowledge & behavior (% of respondents) Table 2.7: Respondent False Beliefs Regarding COVID-19 (% of Respondents) Table 2.8. Prevalence of safe practices, since mid-March Table 2.9. Degree of worry about self/inmediate family becoming seriously ill from Coronavirus Table 2.8. Prevalence of safe practices, since mid-March Table 2.9. Degree of worry about self/inmediate family becoming seriously ill from Coronavirus Table 2.10. Degree of perception of threat to household's finance caused by coronavirus Table 2.11. COVID19 related concerns. Access Table 3.1. Access to basic needs, past 7 days Table 3.2. Access to basic needs, past 7 days Table 3.4. Reasons basic needs were not available (% of HHs that could not buy) Table 3.5. Access to water and soap by urban/rural residence and wealth quintile (% of HHs) Table 3.6. Food Security Problems Table 3.7. Reasons unable to access medical treatment (% of HHs where one of the members needed medical treatment) Table 3.8. Coronavirus restrictions - effects on education* Table 3.9. Types of learning activities, past 7 days Table 3.10. Means of contact with teachers Table 3.11. Access to financial institutions (ATM, bank, money agents) Employment Table 4.1 WORK LAST WEEK (any work for pay or any income generating activities) Table 4.2. Work stoppages, by industry of main job Table 4.3. Work stoppages, main reason Table 4.4. Type of work of those respondents working Table 4.5. Main industry of those respondents working Table 4.6 Respondent work last week by economic activity Table 4.7. WAGE WORKERS, respondents only - underemployment indicators Table 4.8 Family businesses and farms Table 4.9. Family business - Revenues by enterprise Table 4.10. None/Less revenues in family business Table 4.11. HH Income sources in the last 12 months Table 4.12 HH Income sources in the last 12 months by consumption quintiles Table 4.13 type of change in at least one source of income Table 4.14. Percentage of HHs with Non-Farm Businesses (only HHs interviewed in COVID-19 phone survey) Safety Nets Table 5.1 SAFETY NETS since mid-March 2020, by quintiles Table 5.2. Number of shocks per HH, since mid-March Table 5.3. Types of shocks, since mid-March Table 5.4. Coping mechanisms for shocks, since mid-March Table 5.5. Distribution of Number of meals HH were able to eat since the outbreak Table 5.6. Distribution of main source of food consumed Agriculture Table 6.1. Crop farms - prevalence Table 6.2. Household growing crop as one of the three main crops Table 6.3. Changes to crop planting activities Table 6.4. Reasons for change if HH did change planting activities Table 6.5.1. Reasons seed availability changed planting activities Table 6.6. Loss of crops/trees due to locusts Table 6.7. Livestock producers, prevalence Table 6.8. Livestock production changes due to COVID-19 Table 6.9. Changes in livestock production due to COVID-19 Table 6.10. Damages to grazing land due to locusts Table 6.11. Crop and livestock products sales since the outbreak Table 6.12. Effects of locusts on agricultural production Table 0.1: Sample Composition (# of Households) Sector Zones Total % Rural Urban Central Eastern Sample size, UNPS 2019/2020 3285 2,359 757 796 710 HH with at least one phone number 2419 74 1,777 642 663 592 HHs called for Round 1 (sample size) 2419 74 1,777 642 663 592 HHs fully interviewed 2257 93 1,666 591 601 556 HHs reached but not fully interviewed 9 0.37 8 1 2 1 HHs refused 11 0.45 5 6 5 2 HHs unable to reach 141 5.83 98 43 55 33 Zones Northern Western 881 733 575 576 575 576 531 558 2 4 - 4 42 9 Table 0.2: Contact Rate Average # per HH % of Total HHs Calls made - all HHs 1.73 Calls made, HHs interviewed 2.21 93.51 Calls made, HHs refused 3.82 0.45 Calls made, no contact 4.88 4.92 Calls made, other non-response 3.11 1.12 Number of Attempts Reached Not reached Reached Not Reached 0 0 Number0of Attempts 0.000 0.000 0.500 1 1024 58 0.449 0.206 2 559 20 0.245 0.071 0.450 3 326 34 0.143 0.121 0.400 4 176 56 0.077 0.199 5 81 24 0.036 0.085 0.350 6 42 32 0.018 0.113 7 32 16 0.014 0.057 0.300 8 20 10 0.009 0.035 0.250 9 3 6 0.001 0.021 10 7 12 0.003 0.043 0.200 11 5 4 0.002 0.014 0.150 12 0 2 0.000 0.007 13 1 0 0.000 0.000 0.100 14 0 2 0.000 0.007 15 1 0 0.000 0.000 0.050 16 0 2 0.000 0.007 0.000 18 0 4 0 1 2 3 4 52 6 7 8 0 9 10 11 12 13 14 15 16 18 Reached Not Reached Table 0.3: Result of Interview SECTOR OVERALL Rural # of % of overall # of % of rural households sample households sample Reached Complete 2257 93.3 1666 93.8 Partially Complete 4 0.2 3 0.2 Refused 11 0.5 5 0.3 Language barrier 5 0.2 5 0.3 Not reached Nobody answering 10 0.4 8 0.5 Number does not exist 20 0.8 16 0.9 Phone turned off 89 3.7 59 3.3 Wrong number (don't know the household) 11 0.5 6 0.3 Reference person can't connect to household 5 0.2 4 0.3 SECTOR Urban # of % of Urban households sample 591 92.2 1 0.2 6 0.9 0 0.0 2 0.3 4 0.6 30 4.7 5 0.8 1 0.2 Table 0.4: Language of interivew % of Interviews Luo 4.4 Lusoga 13.1 Logishu 8.9 Ateso 4.0 Lugbara 6.6 Luganda 3.4 Runyankole/ Rukiga 28.3 Runyoro/Rutoro 15.6 English 5.8 Other 9.9 Table 0.5: Sample Composition* UNPS Phone sample Characteristic Unweighted Weighted Unweighted Weighted Number of observations** 3076 2226 Average household size 5.13 4.86 5.39 4.88 Household head characteristics Female head (%) 35.6 34.2 32.8 33.3 Age 48.1 45.3 48.0 45.7 Literate (%) 70.7 76.7 76.0 77.1 Asset ownership Regular mobile or fixed phone 3.4 4.0 4.0 3.7 Internet access 2.2 2.4 2.3 2.3 Television 18.3 26.1 21.4 26.4 Refrigerator 5.0 7.2 5.4 6.7 Car 0.5 0.3 0.6 0.3 Generator 76.0 80.7 85.8 87.2 Consumption quintile Q1 19.0 15.7 16.5 15.7 Q2 19.2 17.6 18.7 17.1 Q3 20.8 19.7 21.0 19.3 Q4 21.9 22.3 22.8 22.8 Q5 19.1 24.7 21.1 25.1 * Based on information from the UNPS only. ** HHs with completed UNPS information Table 1.1: Respondent characteristics Number of respondents Distribution of respondents Total Male Female Total Male Age Median age of respondents 43 42 44 15-24 years 116 61 55 5 5 25-39 years 771 423 348 35 38 40-49 years 510 257 253 23 23 50-64 years 481 241 240 22 22 65 years and above 349 135 143 16 12 Relation to the HH head Head 1556 1010 546 71.1 89.4 Spouse 449 25 424 20.5 2.2 Child (own/step/adopted) 143 75 68 6.5 6.6 Other relative 40 20 20 1.8 1.8 Not related 40 2 Education Literate (in any language) 1654 941 709 73.2 83.3 Level No formal education 188 42 146 9.1 3.9 Some primary 807 387 417 38.9 36.1 Completed primary 443 255 188 21.4 23.8 Some secondary 429 263 165 20.7 24.6 Completed secondary 164 103 61 7.9 9.6 Post secondary + 42 21 21 2.0 2.0 42 21 21 2.03 1.96 ion of respondents Female 5 33 24 23 14 51.6 40.1 6.4 1.9 67.0 14.6 41.8 18.8 16.5 6.1 2.1 2.10 Table 1.2: Characteristics of Household and Dependency UNPS Consumption Quintile Overall Q1 Q2 Q3 Q4 Household Household size (average # individuals) 4.7 5.9 5.4 4.7 4.4 Household head, female (%) 30.9 29.9 24.4 33.1 29.9 Education level of HH Head: No formal education 9.6 21.5 10.0 12.3 5.6 Some primary 37.4 53.3 46.5 42.5 36.0 Completed primary 20.1 10.8 25.5 23.6 21.8 Some secondary 18.9 12.8 11.7 17.8 19.1 Completed secondary 10.3 0.8 6.3 3.2 12.5 Post secondary + 3.6 0.8 0.7 5.0 Individuals and Dependency Individuals 50 - 64 years old (%) 6.8 5.9 5.4 7.4 7.0 65 years old and older (%) 4.1 4.2 3.0 5.1 3.3 Household HHs with at least 1 person 50 - 64 (%) 28.1 30.9 24.2 30.9 27.7 HHs with at least 1 person 65+ (%) 16.8 21.7 15.2 20.3 13.3 HHs with at least 1 person 50+ (%) 39.8 42.4 35.8 45.4 37.0 Average share of members 50 - 64 8.2 6.0 6.4 8.4 9.0 Average share of members 65+ 5.8 5.0 4.5 6.8 6.2 HHs with at least 1 person below 15 78.7 91.7 88.9 78.0 77.5 uintile Q5 3.8 35.0 3.6 18.4 17.9 28.4 22.7 8.9 8.1 4.6 27.4 15.4 39.0 9.9 6.1 65.3 Table 2.1: Knowledge of COVID-19 Symptoms (% of Respondents) No formal Some Overall Rural Urban education primary Fever 67.2 64.7 72.8 48.0 64.8 Dry cough 83.0 84.0 81.0 80.1 83.2 Chills 23.5 25.1 19.9 16.0 24.9 Nausea 10.7 11.4 9.3 10.7 10.6 Headhace 32.4 33.4 30.2 32.6 29.4 Diarreha 3.2 3.3 3.0 1.6 4.8 Sore throat 30.3 30.0 31.0 27.1 26.5 Shortness of breath or difficulty breathing 36.0 35.0 38.5 37.7 31.1 Fatigue/general weakness 23.5 24.5 21.2 21.0 23.4 Aches and muscle pain 3.3 3.2 3.5 2.0 2.7 Loss of smell or taste 3.9 3.1 5.5 0.9 3.1 Persistent pain or pressure in the chest 9.38 8.1 12.2 6.3 7.7 Stuffy or runny nose 76.18 75.2 78.4 75.2 74.9 eye pain 8.36 8.6 7.9 4.1 9.4 Do not know 1.28 0.7 2.5 3.2 1.4 Other, not listed in official lists 16.27 16.0 16.9 20.4 15.3 None of above 0 0 0 - - (% of Respondents) Completed Some Completed secondary primary scondary &+ 68.0 69.6 80.3 83.3 85.7 81.1 23.7 25.9 19.9 11.6 9.0 12.8 38.5 32.7 26.5 3.9 1.4 2.2 29.7 33.7 37.9 36.4 38.8 41.6 23.3 24.4 22.5 3.1 2.5 8.2 5.2 2.6 7.4 9.8 12.0 12.0 77.7 78.7 77.2 7.4 9.4 8.4 1.1 0.7 0.0 14.2 15.3 18.6 - - - Table 2.2: Knowledge of measures that risk of contracting COVID-19/ corona Overall (%) Rural (%) Urban (%) At least one action to curb the spread of coronavirus 100.0 100.0 100.0 Handwashing 99.8 99.7 100.0 Use of sanitizer 75.0 69.6 87.0 No Handshake / physical greetings 98.2 98.4 97.6 Use of mask 95.3 94.7 96.5 Use of gloves 65.5 61.8 73.8 Avoid travel 89.5 89.4 89.9 Staying at home and avoid going out unless necessary 97.0 97.1 96.9 Avoid crowded places or gatherings with many people 97.9 97.9 97.9 Maintain enough distance of at least 1 meter 90.7 90.4 91.4 Avoiding touching your face 87.5 86.8 88.9 None of the above reported 0.0 0.0 0.0 ontracting COVID-19/ coronavirus (% of HH) No formal Completed Some Completed Some primary education primary scondary secondary & + 100.0 100.0 100.0 100.0 100.0 100.0 99.4 100.0 100.0 100.0 45.7 72.4 72.0 85.4 88.2 98.6 98.6 96.9 98.8 97.6 85.3 96.0 97.3 96.5 93.9 57.9 62.4 63.3 68.0 75.5 88.8 88.0 91.6 87.8 92.4 96.8 96.2 97.9 97.2 96.9 97.5 97.7 97.0 99.0 98.1 86.7 90.4 90.2 92.6 90.2 83.8 84.6 85.5 91.7 91.9 0.0 0.0 0.0 0.0 0.0 Table 2.3: Knowledge of government actions to curb the spread of coro Overal (%) Rural (%) At least one action to curb the spread of coronavirus 99.0 98.9 Self/institutional quarantine 24.5 22.5 Restricted travel within country/area 69.2 71.4 Restricted international travel 17.3 18.0 Closure of schools and universities 52.4 53.1 Curfew/lockdown 71.1 69.4 Actions to curb the Closure of non essential business 36.8 35.0 spread of Building more hosrpitals or renting hotels to coronavirus accommodate patients 1.9 2.0 Provide food to needy 9.4 8.0 Open clinics and testing location 5.0 5.2 Disseminate knowledge about the virus 49.0 48.6 Compulsary putting on mask in public 60.5 58.3 Social distancing 79.7 81.8 Don't know 1.0 1.1 Note: This was an open question, the options were not read .........................-96 s to curb the spread of coronavirus (% of HH) No formal Some Completed Some Completed Urban (%) education primary primary scondary secondary & + 99.2 98.4 98.5 99.2 99.1 100.0 29.0 14.8 18.0 30.3 26.6 38.2 64.3 69.3 67.2 65.3 74.9 71.9 15.8 8.7 14.8 20.4 22.4 18.0 50.8 59.0 49.2 56.7 56.6 42.8 74.9 79.1 67.2 73.6 70.1 73.6 40.7 22.7 35.3 39.8 44.3 35.3 1.8 0.3 2.5 1.7 2.4 1.7 12.5 2.8 7.9 8.5 14.3 13.9 4.5 1.4 4.1 6.3 5.4 7.9 50.0 45.4 47.7 45.7 54.0 49.8 65.5 53.2 57.8 61.3 70.1 56.2 75.3 83.3 79.5 79.8 82.1 73.7 0.8 1.6 1.5 0.8 0.9 0.0 Table 2.4. COVID-19 outbreak - awareness & % of respondents by UNPS Consumption Quintile Overall (% of respondents) Q1 Q2 Q3 Respondents - have heard of cornavirus 100.0 100.0 100.0 100.0 Respondents - aware of government action 99.0 98.6 99.8 98.1 VID-19 outbreak - awareness & government action by UNPS Consumption Quintile % of respondents by sector Education No formal Some Completed Some Q4 Q5 Rural Urban education primary primary scondary 100.0 100.0 100.0 100.0 100 100 100 100 99.0 99.3 98.9 99.2 98.42 98.53 99.15 99.07 n Completed secondary & + 100 100.00 Table 2.5. Prevalence of safe practices, since mid No formal % of respondents education More frequent handwashing with soap 96.7 96.6 Avoid handshakes/physical greetings 96.1 94.9 Avoid groups of more than 10 people 91.3 90.9 Stock up more food than normal, due to restricted movement 50.5 21.0 Reduce the number of times to the market/grocery store? 85.2 70.4 # Official Use nce of safe practices, since mid-March Completed Some primary Completed primary Some scondary Male Female secondary & + 96.0 97.4 96.3 96.4 96.8 96.5 97.0 94.4 95.6 98.2 94.9 97.4 89.9 90.6 92.3 91.8 89.3 93.1 43.6 51.1 61.0 75.5 50.8 51.2 84.4 86.1 88.2 91.1 84.1 86.7 # Official Use Table 2.6. COVID-19 precautions - knowledge & behavior (% of respondents) Knowledge Behavior change -(% of those that know ab (% of No formal Overall respondents) education Frequent handwashing* 99.8 96.7 96.6 Avoid handshakes/physical greetings 98.2 96.0 94.9 Avoid crowds* 97.9 91.1 91.0 * wording in knowledge and behavior sections differ slightly, but refer to similar behaviors # Official Use vior (% of respondents) ange -(% of those that know about measures) Some Completed Some Completed primary primary scondary secondary & + 96.3 97.4 96.3 96.4 97.0 94.3 95.9 98.2 89.9 91.7 92.2 91.7 # Official Use Table 2.7: Respondent False Beliefs Regarding COVID-19 (% of Respond Overall Rural At least one belief 79.8 78.9 Lemon and alcohol can be used as sanitizers against Coronavirus 63.4 62.9 Africans are immune to Coronavirus 21.5 20.5 Coronavirus does not affect children 16.2 15.2 Coronavirus cannot survive in warm weather 44.1 42.9 COVID-19 is common flue 12.7 12.4 Taking alcohol can make one immune to contracting corona 26.4 27.4 Local herbs can be used to treat corona patients 37.8 38.8 None of above # Official Use Regarding COVID-19 (% of Respondents) Completed No formal Some Completed Some Urban secondary & education primary primary scondary + 81.7 81.1 81.1 79.9 78.4 74.7 64.6 66.6 64.3 60.1 65.0 61.9 23.7 24.5 22.0 25.7 20.2 9.8 18.4 22.2 16.9 19.7 13.4 10.3 46.8 50.1 50.3 43.7 35.7 37.7 13.3 11.3 14.5 13.3 10.6 11.7 24.2 38.4 33.6 22.2 19.0 17.6 35.5 42.2 45.2 34.1 30.9 33.1 # Official Use Table 2.8. Prevalence o Africans are immune to Coronavirus Don't Total True know More frequent handwashing with soap 81.7 93.6 98.1 Avoid handshakes/physical greetings 90.5 93.1 97.0 Avoid groups of more than 10 people 89.9 85.5 92.0 Stock up more food than normal, due to restricted movement 35.5 44.7 53.1 Reduce the number of times to the market/grocery store? 74.7 85.3 85.9 # Official Use Table 2.8. Prevalence of safe practices, since mid-March ns are immune to Coronavirus does not affect Coronavirus cannot survive in COVID-19 is common flue Coronavirus children warm weather Don't Don't Don't False True False True False True know know know 87.6 95.7 97.3 94.4 94.1 98.3 89.0 93.0 97.3 88.8 92.2 97.0 95.4 95.3 96.6 93.0 93.4 96.4 86.3 81.2 92.2 93.6 88.1 91.1 79.0 84.4 92.1 40.3 43.6 52.4 41.3 52.9 53.5 32.9 68.4 51.2 73.7 78.9 86.7 80.3 85.1 87.0 79.2 83.0 85.7 # Official Use Taking alcohol can make one 19 is common flue immune to contracting corona Don't False True False know 93.1 93.9 97.6 97.6 94.4 92.2 96.8 96.9 90.1 86.9 91.5 91.5 41.3 44.5 53.7 53.7 77.3 79.1 87.6 87.6 # Official Use Table 2.9. Degree of worry about self/inmediate family becoming seriou % of respondents by UNPS Consumption Qu Overall (%) Rural (%) Urban (%) Q1 Q2 Q3 Very worried 57.4 57.8 56.4 57.6 58.5 57.3 Somewhat worried 18.2 19.3 15.9 17.2 15.4 19.2 Not too worried 10.6 10.0 12.0 11.9 9.5 9.2 Not worried at all 13.8 12.9 15.6 13.3 16.6 14.2 # Official Use e family becoming seriously ill from Coronavirus by UNPS Consumption Quintile No formal Some Completed Some Completed Q4 Q5 education primary primary scondary secondary 55.4 58.2 55.5 58.8 56.0 62.4 52.0 25.0 14.0 9.7 20.5 19.1 13.1 21.7 8.3 13.8 14.1 9.9 11.1 9.9 11.8 11.3 14.0 20.7 10.8 13.8 14.5 14.5 # Official Use Table 2.10. Degree of perception of threat to household's financ % of respondents by UNPS Consum Overall (%) Rural (%) Urban (%) Q1 Q2 A substantial threat 66.9 62.2 77.3 62.4 67.1 A moderate threat 18.8 21.4 13.2 26.5 13.7 Not much of a threat 9.6 10.9 6.7 7.0 12.9 Not a threat at all 4.7 5.6 2.8 4.1 6.3 # Official Use threat to household's finance caused by coronavirus spondents by UNPS Consumption Quintile No formal Some Completed Some Completed Q3 Q4 Q5 education primary primary scondary secondary 60.6 67.3 73.8 51.4 70.6 66.6 72.5 65.2 24.1 18.6 14.0 24.4 18.0 17.6 14.9 19.4 8.8 12.3 7.0 18.2 7.9 9.7 9.1 9.3 6.5 1.8 5.2 6.1 3.5 6.1 3.5 6.1 # Official Use Table 2.11. COVID19 Overall (%) Degree of worry about self/inmediate family becoming seriously ill from Coronavirus Very worried 57.4 Somewhat worried 18.2 Not too worried 10.6 Not worried at all 13.8 Degree of perception of threat to household's finance caused by coronavirus A substantial threat 66.9 A moderate threat 18.8 Not much of a threat 9.6 Not a threat at all 4.7 # Official Use Table 2.11. COVID19 related concerns. % of respondents by UNPS Consumption Quintile No formal Some Rural (%) Urban (%) Q1 Q2 Q3 Q4 Q5 education primary 57.8 56.4 57.6 58.5 57.3 55.4 58.2 55.5 58.8 19.3 15.9 17.2 15.4 19.2 25.0 14.0 9.7 20.5 10.0 12.0 11.9 9.5 9.2 8.3 13.8 14.1 9.9 12.9 15.6 13.3 16.6 14.2 11.3 14.0 20.7 10.8 62.2 77.3 62.4 67.1 60.6 67.3 73.8 51.4 70.6 21.4 13.2 26.5 13.7 24.1 18.6 14.0 24.4 18.0 10.9 6.7 7.0 12.9 8.8 12.3 7.0 18.2 7.9 5.6 2.8 4.1 6.3 6.5 1.8 5.2 6.1 3.5 # Official Use Complete Some Complete d primary scondary d 56.0 62.4 52.0 19.1 13.1 21.7 11.1 9.9 11.8 13.8 14.5 14.5 66.6 72.5 65.2 17.6 14.9 19.4 9.7 9.1 9.3 6.1 3.5 6.1 # Official Use Table 3.1. Access to basic needs, past 7 days Could not buy (% HH that needed to buy) UNPS Consumption per capita quintiles Overall Rural Urban Q1 Q2 Q3 Q4 Soap 17.7 19.9 13.1 30.1 23.7 16.5 16.0 Water 0.4 0.4 0.6 0.1 0.1 1.1 0.8 Main Staple 87.7 89.4 84.2 86.2 85.5 91.2 86.6 Main Sauce 85.3 85.2 85.6 85.8 85.9 82.8 84.0 Medicine 73.5 70.8 79.4 80.1 66.2 72.1 72.0 Medical Treatment 10.8 12.4 7.4 11.7 12.3 13.7 10.2 apita quintiles Q5 9.1 0.2 88.8 87.6 76.9 7.4 Table 3.2. Access to basic needs, past 7 days Could not buy (% HH that needed to buy) UNPS Consumption per capita quintiles Overall Rural Urban Q1 Q2 Q3 Q4 Main Staple 75.8 71.7 84.9 64.2 77.9 75.6 75.8 Main Sauce 77.2 73.7 85.0 64.4 82.0 71.4 77.5 Medicine 80.3 81.4 77.9 75.3 81.7 81.1 78.9 Medical Treatment 57.0 60.3 49.9 59.2 63.0 59.6 54.9 pita quintiles Q5 81.4 86.1 82.3 49.3 Table 3.3. Access to basic needs, past 7 days Could not buy (% HH that needed to buy) UNPS Consumption per capita quintiles Overall Rural Urban Q1 Q2 Q3 Q4 Main Staple 16.2 14.8 18.6 21.5 18.6 11.7 17.6 Main Sauce 19.0 20.1 17.0 22.0 17.2 24.1 20.6 Medicine 33.0 35.9 26.4 26.5 41.3 34.4 35.5 Medical Treatment 18.98 20.55 14.85 19.74 19.47 23.09 18.67 apita quintiles Q5 13.8 14.4 28.0 14.92 Table 3.4. Reasons basic nee Water Frequency of reasons given across all times Overall Rural Water supply no longer available 18.29 25.49 Water supply reduced 8.06 4.22 Unable to access communal sources 4.10 6.97 Out of stock 0.00 0.00 Local market closed/ not operating 0.00 0.00 Limited/no transportation 0.00 0.00 Restriction to go outside 6.31 0.00 Price too high 31.72 9.69 Cannot access cash 0.00 0.00 Cannot afford it 31.53 53.63 Afraid to get the virus 0.00 0.00 Other 0.00 0.00 Table 3.4. Reasons basic needs were not available (% of HHs that could not buy) Water Soap Main Staple Main Sauce Urban Overall Rural Urban Overall Rural Urban Overall 8.01 13.53 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.85 0.00 2.93 2.73 3.59 0.72 0.84 0.54 0.97 0.00 1.43 1.87 0.00 3.55 3.80 3.18 0.46 15.30 0.00 0.00 0.00 0.00 0.00 0.00 0.20 63.15 8.44 8.42 8.51 34.50 27.64 44.56 45.96 0.00 13.11 14.94 7.08 22.61 27.77 15.04 14.60 0.00 66.72 63.35 77.88 37.73 38.63 36.41 36.68 0.00 6.42 7.47 2.94 0.00 0.00 0.00 0.00 0.00 0.77 1.01 0.00 0.89 1.32 0.26 0.27 Main Sauce Medical Treatment Rural Urban Overall Rural Urban 0.92 0.69 0 0 0 0.42 2.21 0 0 0 0.66 0.00 26.51 31.81 7.20 0.30 0.00 0.00 0.00 0.00 44.57 49.05 0.00 0.00 0.00 17.55 8.00 0.00 0.00 0.00 35.17 40.05 61.99 58.41 75.04 0.00 0.00 1.55 1.67 1.12 0.40 0.00 9.95 8.12 16.64 Table 3.5. Access to water and soap by urban/rural residence and wealth quintile (% of HHs) UNPS Consumption per capita qui Overall Rural Urban Q1 Q2 HH was able to access sufficient water and soap 82% 80% 86% 70% 76% HH sufficient water, but no soap 17% 19% 13% 30% 24% HH non sufficient water 0% 0% 1% 0% 0% uintile (% of HHs) Consumption per capita quintiles Q3 Q4 Q5 83% 83% 91% 16% 16% 9% 1% 1% 0% Table 3.6. Food Security Problems % of HHs Due to lack of money or other resources: Baseline (April/May 2020) Composite FIES index Overal 8.06% Severe Rural 8.15% Urban 7.87% Q1 10.77% Q2 9.17% Consumption Q3 8.56% Quintile Q4 7.49% Q5 6.01% Overal 42.51% Moderate or Severe Rural 42.11% Urban 43.36% Q1 53.37% Q2 50.46% Consumption Q3 42.31% Quintile Q4 41.07% Q5 31.95% Adult(s) in HH worried about not having enough food Overall 58.2 Rural 56.9 Urban 61.2 Q1 68.7 Q2 64.4 Consumption Q3 58.5 Quintile Q4 55.1 Q5 49.9 Adult(s) in HH unable to eat healthy and nutritious/preferred foods Overall 58.9 Rural 59.8 Urban 57.2 Q1 73.4 Q2 65.1 Consumption Q3 57.7 Quintile Q4 60.1 Q5 45.3 Adult(s) in HH ate only a few kinds of foods Overall 58.2 Rural 57.9 Urban 58.9 Q1 72.9 Q2 64.6 Consumption Quintile Consumption Q3 56.0 Quintile Q4 56.7 Q5 47.6 Adult(s) in HH skipped meal Overall 34.3 Rural 34.4 Urban 33.1 Q1 44.7 Q2 40.4 Consumption Q3 36.0 Quintile Q4 30.6 Q5 25.7 Adults in HH ate less than they should Overall 42.2 Rural 40.7 Urban 45.2 Q1 51.6 Q2 51.6 Consumption Q3 42.1 Quintile Q4 40.5 Q5 31.6 HH ran out of food Overall 23.8 Rural 22.5 Urban 25.6 Q1 29.4 Q2 27.0 Consumption Q3 23.2 Quintile Q4 25.5 Q5 16.9 Adult(s) in HH hungry but did not eat Overall 24.7 Rural 24.9 Urban 24.2 Q1 31.7 Q2 30.9 Consumption Q3 26.1 Quintile Q4 21.8 Q5 17.8 Adult(s) in HH went without eating for a whole day Overall 9.7 Rural 9.8 Urban 9.3 Q1 13.3 Q2 9.5 Consumption Q3 11.7 Quintile Q4 7.8 Consumption Quintile Q5 7.8 Table 3.7. Reasons unable to access medical treatment (% of HHs where one of the members needed medical treatment) Frequency of reasons given across all times Overal Rural Lack of Money 61.99 58.41 No medical personnel available 2.45 2.52 Turned away because facility was full 0.12 0.15 Fear to get infected at the health facility 1.55 1.67 Facility was closed 0.26 0.33 Did not get clearance from the authorities to travel to a facility 3.51 1.82 Lack of transportation 26.51 31.81 Other, 3.61 3.31 eded medical treatment) Urban 75.04 2.21 0.00 1.12 0.00 9.70 7.20 4.73 Table 3.8. Coronavirus restrictions - effects on education* UNPS consumption per capita quintiles % all HHs National level Q1 Q2 Q3 HHs with children ages 5 - 20 80.4 95.5 90.9 80.9 HHs with children attending school, pre-closures 92.1 85.7 93.2 91.1 Any students, in the past 7 days: Engaged in any learning/education activities 58.7 44.0 48.8 57.0 Have contact with teachers 11.4 4.4 9.6 7.1 s on education* ption per capita quintiles Percent HHs, by sector Q4 Q5 Rural Urban 77.2 66.3 83.1 74.8 95.6 94.4 91.6 93.6 ays: 65.8 74.0 55.9 66.6 13.8 16.6 12.1 10.3 Table 3.9. Types of learning activities, past 7 days % of HHs that engaged in % of all HHs with children 3-20 Overall Rural Completed assignments provided by the teacher 13.5 24.8 25.8 Used mobile learning apps 2.7 5.0 1.8 Watched educational TV programs 13.4 24.7 13.5 Listened to educational radio progams 21.7 39.9 41.9 Session/meeting with Lesson Teacher (tutor) 2.1 3.9 4.0 Used reading materials provided by government 23.4 43.0 49.3 Home schooling 3.3 6.0 4.4 Revision of textbooks or notes from past classes 2.43 4.46 5.43 Read newspaper or materials provided with the newspaper 3.37 6.18 2.91 Learning material provided by parents 1.69 3.11 1.68 Other activities 0.60 1.10 1.07 ning activities, past 7 days of HHs that engaged in UNPS Consumption per capita quintiles Urban Q1 Q2 Q3 Q4 Q5 22.7 21.9 17.5 27.0 21.8 30.7 11.5 0.9 0.3 0.3 5.2 11.5 46.8 8.3 5.6 11.1 26.3 53.7 35.9 50.6 44.7 38.9 38.6 34.7 3.7 4.4 3.1 3.5 4.6 4.1 30.4 47.8 52.1 43.9 40.7 36.2 9.1 4.9 2.2 4.6 8.6 5.2 2.53 5.94 6.12 5.82 4.64 1.92 12.69 0.00 2.21 4.72 6.91 12.50 5.94 0.00 0.00 3.62 3.48 6.09 1.14 0.00 0.18 3.78 1.53 0.00 Table 3.10. Means of contact with teachers % of HHs that have contact with teach Overall SMS 5.2 Online apps 0.5 Email 1.8 Mail 0.0 Telephone/audio 11.6 Whatsapp message 17.0 Facebook message 2.4 HH visit school to pick material 57.4 Other 20.5 Table 3.10. Means of contact with teachers % of HHs that have contact with teachers Rural Urban 6.9 1.0 0.0 1.7 0.0 5.9 0.0 0.0 12.7 8.9 7.5 39.4 0.0 8.1 58.7 54.4 23.5 13.7 % of all HHs with children 3-20 0.3 0.0 0.1 0.0 0.7 1.1 0.2 3.6 1.3 Table 3.11. Access to financial institutions (ATM, bank, money agents % of HHs that needed a UNPS Consumptio % all HHs financial institution Q1 Someone in HH needed a financial institution 45.1 100.0 24.6 Able to access 44.3 98.3 23.1 Not able to access 0.8 1.7 1.5 (ATM, bank, money agents) UNPS Consumption per capita quintiles Rural Urban Q2 Q3 Q4 Q5 31.4 42.9 48.9 64.4 37.96 60.56 31.2 42.5 48.3 63.2 37.31 59.54 0.2 0.4 0.6 1.2 0.65 1.02 Table 4.1 WORK LA Status of work Respondent working Respondent stopped working (worked pre-March) Respondent not working & no work pre-March Changes in working condition in wage work Respondent working less* (% of working wage work) Other adults working less* (% of HHs) Average number of HH members working less* At least one adult working less (% of HHs) * NOT ABLE to work as usual in their WAGE JOB (at place of work or from home) last 7 days. Table 4.1 WORK LAST WEEK (any work for pay or any income generating activities) UNPS Consumption per capita quintiles Overall Rural Urban Q1 Q2 Q3 Q4 69.7 73.9 60.4 69.4 76.0 74.0 66.5 16.6 11.6 27.3 13.3 13.8 10.1 17.9 13.7 14.3 12.3 17.4 10.2 15.9 15.3 19.0 19.1 19.0 15.2 14.5 23.0 29.6 20.6 17.9 26.5 16.5 21.6 18.1 20.4 0.3 0.2 0.3 0.2 0.3 0.2 0.2 26.2 22.2 34.7 18.6 25.6 21.9 27.6 ta quintiles Regions Gender Q5 Central Eastern Northern Western Male Female 64.5 74.4 60.9 67.8 72.6 68.7 70.1 24.4 17.5 20.0 15.1 13.8 17.0 16.3 11.1 8.1 18.7 17.1 13.6 14.2 13.5 14.9 19.2 21.7 13.5 20.5 23.3 17.6 24.7 26.8 25.3 8.7 18.3 12.4 24.2 0.3 0.4 0.3 0.1 0.2 0.2 0.3 33.6 32.6 31.8 12.6 24.1 18.6 29.5 Table 4.2. Work stoppages, by industry of main job Percentage of respondents that stopped working Overall Rural Urban Agriculture 19.0 30.5 8.3 Mining 7.0 6.7 7.2 Utilities 0.2 0.5 0.0 Construction 3.4 4.2 2.7 Buying & Selling 34.4 28.2 40.1 Transport 6.3 9.2 3.6 Professional Activities 5.0 2.1 7.8 Public Administration 1.0 2.0 0.0 Personal Services 23.7 16.6 30.3 Potentially related – Business / office closed due to coronavirus legal restrictions; Ill / quarantined; Need to care for ill relative; Not able to go to farm due to movement restrictions; laid off while business continues; Furlough; Not able to farm due to lack of inputs; Potentially unrelated – Business / office closed for another reason; Vacation; Seasonal worker; Retired; Not farming season; Other n job Related to coronavirus & counter measures Potentially related 65.2 94.7 100.0 92.5 91.1 98.8 89.2 100.0 100.0 ; Ill / quarantined; Need to care for usiness continues; Furlough; Not able asonal worker; Retired; Not farming Table 4.3. Work stoppages, main reason Percentage of respondents that Rural stopped to work Business/office closed - coronavirus legal restrictions 61.0 53.2 Ill/quarantined 9.9 12.3 Need to care for ill relative 1.1 1.7 Not able to go to farm - movement restrictions 1.1 0.8 Laid off while business continues 0.3 0.7 Furlough (temporarily laid off) 7.9 10.6 Not able to farm due to lack of inputs 0.2 0.4 Lack of transportation 3.7 2.7 Do not want to be exposed to the virus 4.0 3.2 Business/office closed for another reason 2.4 1.9 Not farming season 2.4 3.1 Seasonal worker/or farming season 2.9 6.1 Retired 1.0 2.0 Vacation 0.0 0.0 Other 2.1 1.3 . Work stoppages, main reason Percentage of respondents Urban Rural Urban Level that stopped to work 68.3 Relation to coronavirus outbreak & related 7.6 0.5 1.4 Potentially 0.0 89.2 85.6 92.5 counter measures related 5.5 0.0 4.6 4.6 2.8 1.8 0.0 Potentially 8.7 13.1 4.6 0.0 unrelated 0.0 2.9 Table 4.4. Type of work of those respondents working Percentage of respondents working Own business 19.4 Business of HH or family member 4.1 Family farming (or livestock or fishing) 57.8 Employee 18.5 Paid apprentice/trainee/intern 0.2 Table 4.5. Main industry of those respondents working % of respondents working Rural Urban Agriculture 62.2 72.88 33.63 Mining 4.3 3.84 5.61 Utilities 0.7 0.26 2.05 Construction 3.8 2.29 7.72 Buying & Selling 15.7 10.41 29.95 Transport 2.3 1.95 3.22 Professional Activities 2.8 0.73 8.19 Public Administration 0.9 0.71 1.37 Personal Services 7.3 6.93 8.26 Table 4.6 Respondent work last week by economic activity Respondent stopped Respondent working (worked pre- working (%) March, %) Agriculture 93.25 6.75 Mining&Manufactu 72.46 27.54 Utilities 93.39 6.61 Construction 82.29 17.71 Buying & Selling 65.96 34.04 Transport 60.67 39.33 Professional Act 69.94 30.06 Public Administr 79.59 20.41 Personal Service 56.57 43.43 Table 4.7. WAGE WORKERS, respondents only - underemploym For respondents that did not work as usual last week Percentage of respondents that worke Main reason Overall Potentially related 91.97 Potentially unrelated 8.03 Note: there are 3.43% of the respondents that are working less Potentially related – Business / office closed due to coronavirus legal restrictions; Ill / quarantined; Need to care for ill relative; Not able to go to farm due to lack of inputs; Potentially unrelated – Business / office closed for another reason; Vacation; Seasonal worker; Retired; Not farming season; other ORKERS, respondents only - underemployment indicators Percentage of respondents that worked LESS Level of pay: Rural Urban Full Pay Partial No Pay 91.37 93.14 29.73 24.58 40.20 8.63 6.86 14.93 6.60 78.47 Need to care for ill relative; Not able to go to farm due to movement restrictions; laid off while business continues; Furlough; Not able to farm due ed; Not farming season; other Table 4.8 Family businesses and farms UNPS consumption per capita quintiles Q1 Q2 Q3 Q4 Q5 HHs with a family business in 2020 37.80 40.65 39.11 44.18 46.10 HHs with family farming in 2020 93.57 88.55 87.65 73.85 59.47 HHs with both business and farm in 2020 35.21 34.72 29.76 28.30 23.46 Percentage of Rural Urban all HHs 42.07 37.21 52.16 78.53 90.95 51.13 29.55 33.84 19.04 Table 4.9. Family business - Revenues by enterprise % of HHs Current sales revenue (late March/ Potentially with family April), compared to February 2020* related business Less Same Higher Agriculture 5.3 77.4 22.6 0.0 92.72 Mining 8.9 10.0 90.0 0.0 100.00 Utilities 0.1 100.0 0.0 0.0 100.00 Construction 0.2 100.0 0.0 0.0 76.25 Buying & Selling 68.3 93.5 4.6 1.8 96.84 Transport 5.7 100.0 0.0 0.0 97.84 Professional Activities 1.3 47.2 52.8 0.0 100.00 Personal Services 10.1 90.8 8.1 1.1 97.48 % of HHs with a family business 90.6 7.6 1.9 % of all HHs 23.1 1.9 0.5 * First confirmed coronavirus cases & counter measures in ealry/ mid March 2020. 13 Table 4.10. None/Less revenues in family business Percentage of HHs with a Rural family business Usual place of business closed - coronavirus legal restrictions 52.6 49.9 Ill/quarantined due to coronavirus 0.9 0.2 Need to take care of a family member 0.7 0.2 No customers/ less customers 33.9 36.3 Cant' get input 2.7 3.6 Can't travel/ transport goods for sale 5.0 5.6 Usual place of business closed for another reason 1.7 1.1 Ill with another disease 1.2 1.4 Seasonal Closure 0.1 0.2 Vacation Other 1.1 1.5 e/Less revenues in family business Percentage of HHs with a Urban Rural Urban Level family business 58.1 Relation to coronavirus outbreak & related counter measures 2.3 1.5 Potentially 95.79 95.79 95.79 29.2 related 1.0 3.7 2.8 0.9 Potentially 0.0 4.21 4.21 4.21 unrelated 0.4 Table 4.11. HH Income sources in the last 12 months Change since March 20, 2020 Source of livelihood % of HHs More Same Less Family farming, livestock or fishing 70.7 5% 35% 54% Non-farm family business, including fam 41.0 3% 7% 64% Wage employment of household members 32.4 3% 32% 41% Unemployment benefits 0.0 0% 100% 0% Remittances from abroad 1.1 0% 18% 68% Assistance from family within the country 16.4 7% 10% 76% Assistance from other non-family individual 2.4 1% 8% 87% Income from properties, investments or savings 2.6 0% 7% 64% Pension 0.5 0% 100% 0% Assistance from the Government 0.8 21% 74% 3% Assistance from NGOs / charitable organanization 0.6 0% 9% 91% Other income 0.3 0% 58% 32% March 20, 2020 No earnings 6% 26% 24% 0% 13% 6% 4% 28% 0% 2% 0% 11% Table 4.12 HH Income sources in the last 12 months by consumption qu UNPS consumption pe Source of livelihood Q1 Q2 Household farming, livestock or fishing 91% 84% Non-farm family business 35% 39% Wage employment of household members 30% 29% Remittances from abroad 0% 0% Remittances from family within the country 0% 0% Assistance from other non-family individuals 11% 14% Income from properties, investments, savings 2% 3% Pension 2% 0% Assistance from the Government 0% 0% Assistance from NGOs / charitable orgs 2% 0% Other 0% 0% Overall income 2% 0% nths by consumption quintiles UNPS consumption per capita quintiles Q3 Q4 Q5 81% 63% 47% 36% 46% 45% 27% 30% 41% 0% 0% 0% 1% 1% 3% 23% 15% 16% 1% 1% 4% 0% 2% 7% 0% 1% 1% 1% 0% 1% 1% 0% 2% 0% 0% 0% Table 4.13 type of change in at least one source of income Increase No changes decrese HHs reporting a change in at least one source of income 9% 40% 76% me decrese or no no earinigs earnings 27% 87% Table 4.14. Percentage of HHs with Non-Farm Businesses (only HHs interviewed in COVID-19 phone s Percent HHs, by (UNPS) consumption quintiles Q1 Q2 Q3 Q4 HHs with Non-Farm Businesses in 2019 38.04 44.06 36.43 48.07 HHs with Non-Farm Business since the beginning of 2020* 35.4 38.3 37.7 43.8 *Family business in sectors that are not agriculture, hunting, or fishing In the case of HHs with Non-Farm Businesses in 2019 the sample has been restricted to show only NFE that reported they were operating rviewed in COVID-19 phone survey) umption quintiles Overal Rural Urban Q5 % % % 55.29 45.37 40.78 53.53 45.5 40.8 35.50 51.87 they were operating Table 5.1 SAFETY NETS since mid-March 2020, by quintiles % of HHs Percent HHs, by rural/urban Percent HHs, by (UN Types of assistance, any institution Overall Rural Urban Q1 Food 9.17 5.63 16.90 5.49 Direct cash transfers 0.81 0.85 0.71 1.07 Average amount of cash transfer (in Naira) 97,770 48,049 227,293 15,937 Other in-kind (not food) transfers 3.49 4.30 1.71 5.56 Types of assistance, Government Food 6.07 3.27 12.18 3.30 Direct cash transfers 0.25 0.36 0.00 0.00 Average amount of cash transfer (in Naira) 54,564 54,564 Other in-kind (not food) transfers 1.38 2.01 0.00 1.44 Types of assistance, Other institution Food 3.53 2.68 5.41 2.42 Direct cash transfers 0.63 0.59 0.71 1.07 Average amount of cash transfer (in Naira) 103,873 35,762 227,293 15,937 Other in-kind (not food) transfers 2.11 2.30 1.71 4.12 by quintiles Percent HHs, by (UNPS) consumption quintiles Q2 Q3 Q4 Q5 8.39 4.97 8.08 15.91 0.74 0.46 0.88 0.94 138,509 20,000 29,945 221,489 1.64 5.86 1.13 3.07 3.34 3.44 7.05 10.99 0.54 0.46 0.26 0.03 104,752 20,000 27,457 60,000 0.37 2.54 0.50 1.11 5.05 1.89 2.26 5.05 0.61 0.00 0.61 0.90 74,083 31,013 227,293 1.26 3.32 0.62 1.96 Table 5.2. Number of shocks per HH, since mid-March Percent HHs, by Percent HHs, by (UNPS) consum Since mid-March, HH experienced: % of all HHs Rural Urban Q1 Q2 No shocks 41.8 41.3 43.0 32.0 39.7 1 shock 35.4 33.6 39.3 39.7 35.7 2 - 3 shocks 21.2 22.9 17.4 27.8 23.5 4 - 5 shocks 1.3 1.8 0.2 0.4 1.0 6 - 9 shocks 0.3 0.4 0.0 0.1 0.1 Since mid-March, Most common shocks Increase in price of food items 14.3 13.0 17.2 13.0 10.9 Non-farm business failure 8.0 7.7 8.4 4.7 8.5 Fall in the price of output 6.1 6.7 4.8 9.2 5.3 Job loss 3.6 2.9 5.1 4.6 3.0 Increas in price of inputs 3.0 3.5 2.0 2.7 2.5 March ent HHs, by (UNPS) consumption quintiles Q3 Q4 Q5 39.7 46.2 46.2 38.6 28.1 37.8 20.4 22.7 14.4 0.8 2.3 1.6 0.6 0.7 0.1 13.5 19.1 14.5 7.0 9.1 9.7 4.7 7.4 5.0 1.3 6.0 3.3 3.6 2.2 4.0 Table 5.3. Types of shocks, since mid-March Percent HHs, by HHs were asked about the following shocks: % of all HHs Rural Urban Death or disability of an adult working member of the 0.3 0.2 0.6 household Death of someone who sends remittances to the household 1.2 1.2 1.2 Illness of income earning member of the household 6.8 8.8 2.4 Loss of an important contact 0.5 0.7 0.2 Job loss 5.0 4.1 6.8 Non-farm business failure 14.4 14.2 14.8 Theft of crops, cash, livestock or other property 5.2 5.2 5.0 Destruction of harvest by insufficiente labor 0.9 1.3 0.1 Disease/Pest invasion that caused harvest failure or storage 2.0 2.6 0.8 loss Increase in price of inputs 6.0 7.2 3.3 Fall in the price of output 11.3 12.8 8.0 Increase in price of major food items consumed 29.4 29.1 29.9 Floods 3.5 4.8 0.6 Other (specify) 4.5 4.8 3.7 Table 5.4. Coping mechanisms for sh Percent HHs, by (UNPS) consump % of all HHs Q1 Q2 Sale of assets (Ag. and Non-Ag.) 1.8 3.6 2.6 Endaged in additional income generating activities 5.1 3.7 8.4 Received assistance from friends & family 11.1 11.3 10.9 Borrowed from friends & family 4.1 8.8 0.9 Took a loan from a financial institution 0.2 0.0 0.1 Credited purchases 1.4 1.9 0.8 Delayed payment obligations 0.4 0.9 0.0 Sold harvest in advance 1.2 0.1 1.9 Reduced food consumption 16.3 17.8 19.5 Reduced non-food consumption 12.3 11.8 17.3 Relied on savings 25.0 25.0 26.9 Received assistance from NGO 0.1 0.1 0.0 Took advanced payment from employer 0.0 0.0 0.1 Received assistance from Government 0.7 0.0 0.3 Was covered by an insurance policy 0.0 0.0 0.0 Did nothing 13.3 18.9 13.4 Did other 3.1 5.0 2.3 .4. Coping mechanisms for shocks, since mid-March ent HHs, by (UNPS) consumption quintiles % of HHs Percent shocked HHs, by (UNPS) consumption quintiles Q3 Q4 Q5 with shock Q1 Q2 Q3 2.0 1.3 0.6 3.1 5.3 4.3 3.3 5.0 4.1 4.9 8.8 5.5 13.9 8.4 14.0 11.5 8.9 19.0 16.6 18.0 23.3 3.7 6.8 1.3 7.0 12.9 1.5 6.2 0.0 0.8 0.2 0.4 0.0 0.2 0.0 0.9 3.2 0.3 2.4 2.8 1.3 1.4 0.2 0.0 0.9 0.7 1.3 0.0 0.3 1.6 0.9 1.2 2.0 0.1 3.2 2.7 21.0 16.6 10.0 28.1 26.2 32.3 35.1 15.4 10.2 9.2 21.2 17.3 28.8 25.6 19.7 26.3 27.6 43.1 36.7 44.6 32.9 0.0 0.5 0.0 0.2 0.1 0.0 0.0 0.0 0.0 0.1 0.1 0.0 0.2 0.0 0.1 1.5 1.3 1.3 0.0 0.5 0.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 13.0 10.5 11.8 22.9 27.8 22.2 21.7 6.0 1.8 1.4 5.3 7.4 3.8 10.0 by (UNPS) consumption quintiles Q4 Q5 2.4 1.1 7.6 9.2 21.5 16.5 12.7 2.4 1.6 0.3 5.9 0.5 0.0 1.6 1.7 2.2 31.1 18.6 19.0 17.1 49.1 51.3 1.0 0.0 0.0 0.1 2.8 2.3 0.0 0.0 19.6 21.9 3.4 2.6 Table 5.5. Distribution of Number of meals HH were able to eat since the outbreak Number of meals eaten per day since Percent HHs, by rural/urban Percent HHs, by (UNPS) c % of all HHs the outbreak Rural Urban Q1 Light Breakfast and One main Meal 17.6 18.2 16.3 21.3 Heavy Breakfast and one main Meals 28.5 31.3 22.5 42.9 Three Meals 42.9 40.0 49.3 23.7 Only one meal 10.9 10.5 11.9 12.2 able to eat since the outbreak Percent HHs, by (UNPS) consumption quintiles Q2 Q3 Q4 Q5 25.3 17.4 16.2 11.8 35.9 31.3 20.5 19.4 27.5 40.5 51.5 59.8 11.3 10.8 11.8 9.0 Table 5.6. Distribution of main source of food consumed Percent HHs, by rural/urban Percent HHs, by (UNPS) c Source of food % of all HHs Rural Urban Q1 Market 39.9 27.5 66.9 24.5 Mobile retailer 1.0 0.5 2.1 0.1 Purchased from neighbour 1.3 2.0 0.0 5.1 Donation from non-gov't 2.2 2.5 1.4 1.5 Garden 54.9 66.6 29.4 68.1 Food reserves 0.8 1.0 0.3 0.8 of food consumed Percent HHs, by (UNPS) consumption quintiles Q2 Q3 Q4 Q5 33.2 35.5 45.1 52.7 0.7 0.0 0.7 2.8 0.5 0.4 0.6 1.1 0.4 3.3 2.6 2.6 63.8 59.6 50.9 40.0 1.4 1.2 0.1 0.8 Table 6.1. Crop farms - pr % of all Percent HHs, by rural/urban Percent HHs, by region Crops, ordered by prevalence HHs Rural Urban Central Eastern Northern HHs farming in 2019 72.4 89.3 35.1 53.1 83.3 89.5 HHs farming in 2020 78.2 90.6 50.9 63.6 83.0 90.6 Non-farming but planning to 0.7 0.2 1.6 0.0 1.1 1.0 Non-farming & not planning to 1.3 0.5 3.0 1.8 1.3 2.2 No farms in 2020 19.5 8.3 44.2 34.1 14.6 5.5 Table 6.1. Crop farms - prevalence Hs, by region Percent HHs, by landholding quintile Percent HHs, by consumption per capita quintile Western Q1 Q1 Q3 Q4 Q5 Q1 Q1 Q3 Q4 73.5 100.0 100.0 100.0 100.0 100.0 95.3 86.1 83.9 67.2 81.8 96.5 99.6 97.0 98.0 100.0 93.3 88.5 86.3 73.8 0.8 0.2 0.0 0.5 0.2 0.0 0.0 0.4 0.6 0.8 0.1 1.8 0.0 0.5 0.0 0.0 0.2 2.1 0.4 1.5 17.2 1.4 0.4 2.0 1.8 0.0 6.4 8.9 12.0 23.7 n per capita quintile Q5 44.9 59.2 1.2 2.1 37.0 Table 6.2. Household growing crop as one o Percent HHs, by rural/urban Percent HHs, by region Crops, ordered by % of producer prevalence HHs Rural Urban Central Eastern Northern Beans 61.0 59.8 65.3 64.3 37.8 46.6 Maize 61.3 62.5 56.6 67.8 77.6 57.5 Cassava 36.3 37.4 32.1 26.2 44.2 64.6 Banana (Food) 26.8 25.4 32.0 43.7 15.1 0.4 Sweet Potatoes 23.4 23.3 23.9 30.4 35.7 8.7 sehold growing crop as one of the three main crops Hs, by region Percent HHs, by landholding quintile Percent HHs, by consumption per capita quintile Western Q1 Q1 Q3 Q4 Q5 Q1 Q1 Q3 Q4 89.1 53.5 51.4 75.0 72.3 66.7 54.1 62.6 60.9 66.5 45.0 67.2 67.6 52.9 61.2 48.7 55.1 69.0 62.3 59.4 15.4 43.1 51.8 30.0 28.9 39.0 34.4 42.1 38.9 36.3 42.9 21.9 25.9 39.9 31.5 28.6 16.2 24.5 26.8 29.0 19.5 21.9 21.0 21.5 25.2 11.0 25.0 19.6 25.1 24.8 n per capita quintile Q5 62.3 59.5 28.4 38.3 22.8 Table 6.3. Changes to crop pl Planting activity response to % of producer Percent HHs, by rural/urban Percent HHs, by region COVID 19 HHs Rural Urban Central Eastern Yes, changed planting activities 22.7 22.4 24.0 25.0 24.7 No, too early in ag cycle 0.3 0.2 0.8 0.9 0.2 No, did not change 76.9 77.4 75.1 74.1 75.1 Percent HHs, by rural/urban Percent HHs, by region % of HHs that Changes changed Rural Urban Central Eastern Abandoned crop farming 6.3 6.1 7.1 8.5 4.7 Reduced area planted 38.3 39.0 35.5 32.1 51.6 Increased area planted 38.1 42.0 24.1 24.7 23.6 Planted fast maturing varieties 4.7 5.6 1.5 0.9 4.6 Increased crop diversity 17.4 12.8 34.1 25.1 23.1 Reduced crop diversity 10.6 11.8 6.1 24.5 11.5 Delayed planting 5.2 5.2 5.2 2.0 13.5 Other, specify 3.3 1.0 11.7 4.3 2.3 Table 6.3. Changes to crop planting activities Percent HHs, by region Percent HHs, by landholding quintile Percent HHs, by consumption per capita qu Northern Western Q1 Q1 Q3 Q4 Q5 Q1 Q1 Q3 34.6 9.5 21.7 28.9 15.4 13.5 24.2 18.3 19.7 21.8 0.2 0.0 0.3 0.0 0.0 0.3 0.3 0.5 0.0 0.1 65.2 90.5 78.1 71.1 84.6 86.3 75.5 81.3 80.3 78.1 Percent HHs, by region Percent HHs, by landholding quintile Percent HHs, by consumption per capita qu Northern Western Q1 Q1 Q3 Q4 Q5 Q1 Q2 Q3 1.2 20.0 10.6 1.8 16.9 8.1 7.0 6.0 9.5 2.9 32.0 44.8 37.5 35.8 34.5 46.3 35.2 20.2 35.5 57.9 62.5 28.9 33.2 46.7 31.5 39.9 55.6 57.8 36.8 29.1 1.6 23.0 7.1 0.4 11.4 4.2 5.6 8.2 7.2 2.3 2.1 33.4 19.9 16.4 9.9 3.5 8.1 14.6 9.8 16.6 2.3 0.9 14.4 15.3 21.6 2.2 3.4 10.6 7.7 9.9 1.3 7.3 9.9 6.3 6.3 3.8 1.7 2.5 11.5 7.6 3.2 0.0 0.0 6.0 1.8 0.7 4.2 0.0 6.7 1.8 onsumption per capita quintile Q4 Q5 27.4 24.9 0.3 0.8 72.2 74.3 onsumption per capita quintile Q4 Q5 10.4 3.0 34.6 37.9 37.7 35.5 6.7 0.4 16.5 29.2 13.3 10.5 2.5 3.2 0.8 5.1 Table 6.4. Reasons for change if HH did change planting activities Reasons for change in % of HHs Percent HHs, by rural/urban Percent HHs, by landholding quintile planting activities that Rural Urban Q1 Q1 Q3 Advised to stay home 51.0 52.4 45.8 54.1 58.4 64.8 Hired labor availability 17.3 17.8 15.5 10.2 8.1 17.9 Restrictions on movement 41.8 35.5 64.6 34.7 51.5 44.2 Seed availability 8.0 8.1 7.6 12.0 9.8 7.6 Fertilizer availability 2.7 2.6 2.7 5.9 3.0 0.0 Other input availability 6.0 6.5 4.5 8.2 6.2 4.5 Any input availability 14.0 14.8 10.8 21.4 14.9 9.5 Difficulty selling outputs 3.7 4.4 1.0 3.3 4.3 8.0 Sickness 1.7 1.9 0.9 2.1 2.5 3.5 Delayed planting 4.5 5.3 1.3 8.5 2.4 4.6 Other, specify 9.6 11.3 3.8 6.7 11.7 0.9 H did change planting activities , by landholding quintile Percent HHs, by consumption per capita quintile Q4 Q5 Q1 Q1 Q3 Q4 Q5 31.2 58.3 54.1 61.0 42.8 54.7 39.7 31.7 11.3 3.1 11.8 21.8 27.4 16.4 19.3 40.0 33.4 44.5 29.8 50.0 46.8 4.2 3.0 18.4 2.7 8.2 5.6 8.4 0.0 1.7 8.1 1.2 2.0 1.4 2.4 2.3 6.6 2.6 3.7 7.5 7.8 7.3 6.5 9.1 27.0 6.4 13.2 12.8 14.4 1.5 0.7 0.3 3.6 0.7 8.7 3.1 3.8 0.6 1.6 1.0 3.3 0.7 2.1 11.4 2.8 15.5 5.7 1.4 1.0 2.6 10.2 16.0 20.1 9.8 9.3 6.4 7.2 Table 6.5 Reasons seed availability changed planting activities % of HHs Percent HHs, by rural/urban Seed availability issue with issue Rural Urban Shops out of stock 0.6 0.8 0.0 Local markets closed 24.2 22.3 31.7 Limited transportation 20.5 24.9 3.3 Movement restrictions 26.0 32.8 0.0 Increased price 55.1 45.3 93.2 Not enough money 23.7 26.9 11.1 Other, specify 0.0 0.0 0.0 Table 6.5.2. Reasons fertilizer availability changed planting activities % of HHs Percent HHs, by rural/urban Fertilizer availability issue with issue Rural Urban Shops out of stock 0.0 0.0 0.0 Local markets closed 4.9 0.0 22.6 Limited transportation 8.4 10.8 0.0 Movement restrictions 0.0 0.0 0.0 Increased price 20.5 12.8 47.8 Not enough money 66.1 76.4 29.6 Other, specify 0.0 0.0 0.0 Table 6.5.3. Reasons other input availability changed planting Other input availability % of HHs Percent HHs, by rural/urban issue with issue Rural Urban Shops out of stock 1.3 1.6 0.0 Local markets closed 6.5 0.0 41.1 Limited transportation 18.6 22.1 0.0 Movement restrictions 12.4 14.8 0.0 Increased price 27.6 29.9 15.3 Not enough money 32.0 29.8 43.6 Other, specify 1.5 1.8 0.0 Table 6.5. Reasons input availability changed planting activities Other input availability % of HHs Percent HHs, by rural/urban issue with issue Rural Urban Shops out of stock 0.9 1.1 0.0 Local markets closed 14.4 11.7 27.9 Limited transportation 13.6 15.9 2.3 Movement restrictions 15.3 18.3 0.0 Increased price 34.1 31.1 49.5 Not enough money 30.2 30.7 27.7 Other, specify 0.6 0.8 0.0 Table 6.6. Loss of crops/trees du % of HHs that Percent HHs, by rural/urban Percent HHs, by region Locust Damage cultivate Rural Urban Central Eastern Northern Yes 2.6 2.9 1.8 0.8 2.3 7.0 No 97.3 97.1 97.8 98.9 97.7 93.0 ble 6.6. Loss of crops/trees due to locusts Hs, by region Percent HHs, by UNPS landholding quintile Percent HHs, by UNPS consumption per capita Western Q1 Q1 Q3 Q4 Q5 Q1 Q1 Q3 Q4 1.0 3.7 2.2 0.4 1.2 5.9 4.9 2.3 2.3 2.0 99.0 96.3 97.8 99.6 98.8 94.1 95.1 97.7 97.7 98.0 umption per capita Q5 2.0 97.7 Table 6.7. Livestock producer Percent HHs, by rural/urban Percent HHs, by region % of all HHs Rural Urban Central Eastern Northern Kept livestock 2019 56.0 67.8 30.1 43.2 77.7 73.0 Kept livestock 2020 49.2 58.3 29.2 42.3 55.2 65.4 Kept livestock 2019 not 2020 16.8 19.6 10.6 11.5 27.8 15.5 Never kept livestock 34.0 22.0 60.1 46.1 17.0 19.1 e 6.7. Livestock producers, prevalence Hs, by region Percent HHs, by landholding quintile Percent HHs, by consumption per capita quintile Western Q1 Q1 Q3 Q4 Q5 Q1 Q1 Q3 Q4 40.9 78.0 88.2 58.0 72.3 83.8 73.6 63.7 63.4 53.1 40.1 58.8 79.8 55.0 60.3 77.3 62.1 54.2 54.0 46.5 15.4 27.0 13.7 17.5 21.0 16.8 21.4 18.6 19.0 16.6 44.6 14.1 6.5 27.5 18.6 5.9 16.5 27.1 27.0 36.9 n per capita quintile Q5 37.8 35.8 11.6 52.6 Table 6.8. Livestock production ch Percent HHs, by rural/urban Percent HHs, by region Livestock production changes due % of HHs with to COVID 19 livestock Rural Urban Central Eastern Changed production 8.3 7.8 10.5 16.7 8.1 Did not change 91.7 92.2 89.5 83.3 91.9 le 6.8. Livestock production changes due to COVID-19 Percent HHs, by region Percent HHs, by landholding quintile Percent HHs, by consumption per capita qu Northern Western Q1 Q1 Q3 Q4 Q5 Q1 Q1 Q3 1.8 6.2 5.4 6.2 10.9 0.6 9.7 4.1 4.7 6.9 98.2 93.8 94.6 93.8 89.1 99.4 90.3 95.9 95.3 93.1 onsumption per capita quintile Q4 Q5 12.3 13.8 87.7 86.2 Table 6.9. Changes in livestock prod Percent HHs, by rural/urban Percent HHs, by region % of HHs that Changes changed Rural Urban Central Eastern Could not access veterinarian 39.7 42.1 32.1 30.1 64.5 Could not vaccinate 30.2 31.3 26.5 28.4 45.3 Could not deworm 25.2 30.1 9.3 25.4 15.1 Postponed insemination 0.0 0.0 0 0 0.0 Changed feed ratio due to cost 52.4 43.6 81.1 73.8 7.0 Could not sell animals 14.5 16.8 7.0 10.0 21.8 Changed watering of animals 15.5 18.9 4.5 8.9 6.7 e 6.9. Changes in livestock production due to COVID-19 Percent HHs, by region Percent HHs, by landholding quintile Percent HHs, by consumption per capita qu Northern Western Q1 Q2 Q3 Q4 Q5 Q1 Q2 Q3 10.8 45.6 52.6 87.3 23.9 49.7 52.8 21.6 52.1 48.8 36.6 12.3 69.2 56.4 19.9 100.0 16.7 19.5 19.9 43.5 4.9 46.4 39.1 28.5 35.2 73.9 33.8 7.7 50.9 38.1 0 0 0 0 0 0 0.0 0 0 0 2.9 65.6 40.5 17.3 64.0 23.4 23.7 6.9 50.8 50.7 14.3 18.8 32.7 0.0 0.0 0.0 24.6 37.9 9.3 30.3 37.0 41.9 5.2 10.3 39.0 23.4 14.2 32.3 22.3 12.7 onsumption per capita quintile Q4 Q5 28.7 46.3 15.1 45.9 22.4 17.8 0 0.0 69.4 51.9 0.0 15.0 22.9 1.9 Table 6.10. Damages to grazing Percent HHs, by rural/urban Percent HHs, by region % of livestock HHs Rural Urban Central Eastern Locusts 3.7 4.1 2.0 2.8 3.7 No Locusts 96.3 95.9 98.0 97.2 96.3 Table 6.10. Damages to grazing land due to locusts Percent HHs, by region Percent HHs, by landholding quintile Percent HHs, by consumption per capita qu Northern Western Q1 Q1 Q3 Q4 Q5 Q1 Q1 Q3 5.3 2.8 3.4 3.6 2.2 2.7 5.6 6.3 4.4 1.2 94.7 97.2 96.6 96.4 97.8 97.3 94.4 93.7 95.6 98.8 onsumption per capita quintile Q4 Q5 5.7 0.6 94.3 99.4 Table 6.11. Crop and livestock produc Percent HHs, by rural/urban Percent HHs, by region % of all HHs Rural Urban Central Eastern Needed to sell farm products 44.1 46.1 36.7 55.0 30.7 Needed and able to sell 26.2 28.1 19.1 37.9 16.3 Needed but unable to sell 17.9 18.0 17.6 17.0 14.4 .11. Crop and livestock products sales since the outbreak Percent HHs, by region Percent HHs, by landholding quintile Percent HHs, by consumption per capita qu Northern Western Q1 Q2 Q3 Q4 Q5 Q1 Q2 Q3 30.4 57.3 36.4 46.0 56.9 50.3 56.6 41.1 41.5 45.2 14.5 33.8 21.8 27.2 31.5 29.4 37.2 23.8 24.4 25.7 15.9 23.6 14.5 18.8 25.4 21.0 19.4 17.3 17.1 19.5 onsumption per capita quintile Q4 Q5 44.5 50.2 28.3 29.9 16.2 20.3 Table 6.12. Effects of locusts on a Percent HHs, by rural/urban Percent HHs, by region % of HHs Rural Urban Central Eastern Grew crops 78.2 90.6 50.9 63.6 83.0 Crops damaged by locusts 2.6 2.9 1.8 0.8 2.3 Kept livestock 49.2 58.3 29.2 42.3 55.2 Grazing land affected by locusts 3.7 4.1 2.0 2.8 3.7 Grew crops or kept livestock 79.0 90.8 53.0 64.6 84.8 Crops or grazing land damaged 4.1 4.6 2.2 2.7 3.2 Population affected by locusts 3.2 4.2 1.2 1.7 2.7 ble 6.12. Effects of locusts on agricultural production Percent HHs, by region Percent HHs, by landholding quintile Percent HHs, by consumption per capita qu Northern Western Q1 Q1 Q3 Q4 Q5 Q1 Q1 Q3 90.6 81.8 96.5 99.6 97.0 98.0 100.0 93.3 88.5 86.3 7.0 1.0 3.7 2.2 0.4 1.2 5.9 4.9 2.3 2.3 65.4 40.1 58.8 79.8 55.0 60.3 77.3 62.1 54.2 54.0 5.3 2.8 3.4 3.6 2.2 2.7 5.6 6.3 4.4 1.2 91.1 81.9 96.7 99.6 97.1 98.1 100.0 93.3 88.7 86.7 9.4 1.9 4.9 3.7 1.5 2.7 8.2 7.1 5.0 2.5 8.6 1.5 4.8 3.7 1.5 2.7 8.2 6.6 4.4 2.2 onsumption per capita quintile Q4 Q5 73.8 59.2 2.0 2.0 46.5 35.8 5.7 0.6 75.6 60.4 4.0 2.2 3.0 1.3