UGANDA COVID Metadata Table 0.1: Sample Composition (# of Households) Table 0.2: Contact Rate Table 0.3: Result of Interview Table 0.5: Sample Composition* Knowledge, behavior, and concerns Table 2.1 Prevalence of safe practices, in the last week + change in safe practice adoptions with respect to last round Figure 1. Prevalence of safe practices in the last week across rounds, (% of respondents) Table 2.5 Concerns about getting seriously ill from COVID by rural, urban, age group for rounds 3, 4, 5 Figure 2. Respondents who were very worried about possibility about themselves or other members getting seriously ill from Table 2.8. % of household with any member received a laboratory diagnosis for COVID-19 Table 2.11a: Share of respondents willing to get tested for free by rural/urban, quintiles, gender and education Table 2.11b: Share of respondents willing to get tested for pay by rural/urban, quintiles, gender and education Table 2.11c: Average amount ready to be paid for testing Figure 3. Share of respondents willing to get tested for free, willing to pay to get tested and amounts ready to be paid in roun Table 2.12: Share of respondents who would agree to be vaccinated by rural/urban, quintiles, gender and education in round Table 2.13a Share of respondents who think that he or she has or have had COVID/19 regardless of having done a test or not Figure 4. Share of respondents who think that they have or had COVID/19 and share of respondents whose friends/relatives/ Table 2.13b Share of respondents whose friend/relative/neighbor have been infected with COVID-19 (suspected or confirmed Mental Health Table 9.10 Respondents who experienced symptoms everyday or half of the days Table 9.11a Depression level of respondents who experienced symptoms everyday or half of the days Table 9.11b Respondents with clinically significant depression (>10) Figure 5. Respondents with depression in round 5, (%) Access Table 3.2. Most important strategies for those children who missed school during the 2019/20 school year in order for them Table 3.3 Practical steps for students and staff to adopt in school to prevent the spread of coronavirus in R5 by area, region Table 3.4 Share of children who received parental support by type of support in R5 by area, region, quintiles Table 3.8. Coronavirus restrictions - effects on education* Figure 6. Households with children (age 3-18) engaged in any learning or education activities in round 5, (%) Safety Nets & Food Security Index Table 8.1-3 Incidence of social assistance in the fourth and fifth round by area, region and quintiles Figure 7. Respondent access to social assistance across rounds 4 and 5 by quintiles and regions, (%) Table 8.2 Sources Assistance since last interview Table 8.4. Food Security Problems Figure 8. Evolution of severe and moderate composite FIES index among respondents across all rounds, (%) Employment Table 4.1 Respondents working status last week (any work for pay or any income generating activities) following respondent Figure 9: Respondents reporting working activities across rounds 1-5, (%) Table 4.2. Work stoppages, by industry of main job Figure 10: Respondents stopped working by sectors across rounds 1, 4 and 5, (%) Table 4.2b Repartition of main activity (working) by sector Table 4.3 Job stability across rounds Table 4.4. Type of work of those respondents working Table 4.5 COVID-19 workplace prevention measures (% of wage workers) - measure taken by employer Table 4.6 Colleagues following practice of personal hygiene and social distancing Table 4.7 Percentage of colleagues following preventive measures Table 4.8 Family businesses, status & fluctuation* (% of HHs) Figure 11: Family business status across rounds 1 ,4 and 5, (% of households) Table 4.9 Family business revenues, by sector Figure 12: Family business revenues in rounds 1 ,4 and 5 compared to previous month (% of households with business) Table 4.10 HH Income sources in the last 12 months Figure 13. Share of households with income in rounds 4 and 5 above or the same compared to the average monthly income d Agriculture - Crop Table 6.1a Percentage of respondents that participated in farming activities (comparison with the 2019 second season based Table 6.1b Reasons for not participating in agricultural activities Table 6.2a Changes in farm gate prices for the 3 main crops (R3, R4,R5) Table 6.2c. Area planted Table 6.3. Changes to crop planting activities Figure 14: Changes to crop planting activities in round 4, (% of households) Agriculture - Livestock Table 7.3 Proportion of households that needed to sell and were able to sell livestock Figure 15: Need and ability to sell agricultural products since last call in round 4 and 5 and since beginning of 2020 in round 1, Table 7.13a Changes in Sales of livestock products Table 7.13b Reasons why sells declined Table 7.13c Reasons why respondent reported no sell Table 7.14 Price changes by livestock product type UGANDA COVID-19 HIGH FREQUENCY PHONE SURVEY 2020/21 Tables for Round 4 and 5 respect to last round bers getting seriously ill from COVID-19 by residence and across rounds, (% of respondents) and education and education unts ready to be paid in round 5, (% and UGX) nder and education in round 4 of having done a test or not by area, region, education and quintiles in round 5 ents whose friends/relatives/neighbors have been infected with COVID-19 in round 5, (%) D-19 (suspected or confirmed) by area, region, education in round 5 chool year in order for them to catch up for the lost time/classes in R5 by area, region, quintiles avirus in R5 by area, region on, quintiles ound 5, (%) rounds, (%) vities) following respondent seholds with business) he average monthly income during the 12 months period prior to the lockdown, (% of households receiving income) e 2019 second season based on UNPS data) beginning of 2020 in round 1, (% of households working on the farm in round 1/ normally sell their products in rounds 4 and 5) 1 cts in rounds 4 and 5) Table 0.1: Sample Composition (# of Households) Sector Total % Rural Urban Sample size, UNPS 2019/2020 3098 2,328 750 HH with at least one phone number 2331 75 1,721 610 HHs called for Round 5 (sample size) 2331 75 1,721 610 HHs fully interviewed 2122 91 1,579 543 HHs reached but not fully interviewed 13 0.56 9 4 HHs refused 18 0.77 6 12 HHs unable to reach 178 7.64 127 51 sition (# of Households) Zones Central Eastern Northern Western 791 701 871 732 637 572 556 566 637 572 556 566 546 524 512 540 6 - 2 5 8 1 6 3 77 47 36 18 Table 0.2: Contact Rate Average # per HH % of Total HHs Calls made - all HHs 1.40 Calls made, HHs interviewed 1.84 91.36 Calls made, HHs refused 2.06 0.77 Calls made, no contact 4.02 6.23 Calls made, other non-response 2.05 1.63 Table 0.3: Result of Interview OVERALL Rural # of households % of overall sample # of households Reached Complete 2122 91.7 1584 Partially Complete 4 0.2 4 Refused 18 0.8 6 Language barrier 1 0.0 1 Not reached Nobody answering 20 0.9 12 Number does not exist 36 1.6 24 Phone turned off 89 3.8 67 Wrong number (don't know the household) 17 0.7 14 Reference person can't connect to household 8 0.3 4 w SECTOR Rural Urban % of rural sample # of households % of Urban sample 92.3 538 89.8 0.2 0 0.0 0.3 12 2.0 0.1 0 0.0 0.7 8 1.3 1.4 12 2.0 3.9 22 3.7 0.8 3 0.5 0.2 4 0.7 Table 0.5: Sample Composition* UNPS Phone sample Characteristic Unweighted Weighted Unweighted Weighted Number of observations** 3077 2122 Average household size 5.13 4.86 5.39 4.87 Household head characteristics Female head (%) 35.6 34.2 32.8 33.0 Age 48.1 45.3 48.0 45.1 Literate (%) 70.6 76.7 76.1 78.9 Asset ownership Regular mobile or fixed phone 3.4 4.1 3.8 3.4 Internet access 2.2 2.4 2.3 2.4 Television 18.2 26.1 20.9 26.9 Refrigerator 5.0 7.2 5.1 6.5 Car 0.5 0.3 0.6 0.4 Generator 75.9 80.7 85.7 87.6 Consumption quintile Q1 19.0 15.7 16.5 15.3 Q2 19.2 17.6 18.6 17.3 Q3 20.8 19.6 21.2 19.0 Q4 22.0 22.3 23.2 22.6 Q5 19.0 24.7 20.6 25.7 * Based on information from the UNPS only. ** HHs with completed UNPS information Table 2.1 Prevalence of safe practices, in the last week + change Round 5 Ro Residence Gender of respondent Residence % of % of Rural Urban Male Female respondents respondents 61 More frequent handwashing with60 soap 63 59 63 68 68 Avoid handshakes/physical 65 greetings 76 65 72 75 41 than 10 people Avoid groups of more 39 45 37 45 54 Stock up more food than normal 24 23 20 23 22 28 Reduce the number of times to the 37 40 store 35 market/grocery 35 39 48 practices, in the last week + change in safe practice adoptions with respect to last round Round 4 Round 1 Residence Gender of respondent Residence % of Rural Urban Male Female Rural Urban respondents 69 66 72 64 97 97 97 72 82 73 77 96 96 96 53 57 50 59 91 91 92 30 24 29 26 51 45 63 49 47 47 50 85 85 86 Round 1 Gender of respondent Male Female 97 96 95 97 90 93 50 51 84 87 Round 5 Residence Gender of respondent % of respondent Rural Urban Male Female s Very worried 26 26 25 26 26 Somewhat worried 34 34 33 34 34 Not too worried 27 27 27 26 29 Not worried at all 13 12 15 14 12 Table 2.5 Concerns about getting seriously ill from COVID by rural, urban, age group for rounds 3, 4 Round 5 Round 4 Age group of respondent Residence Gender of respondent % of below 25 25-44 45-64 65+ respondent Rural Urban Male Female s 21 25 27 31 38 40 32 39 36 25 31 38 40 33 31 35 32 33 38 29 24 22 19 19 20 21 18 16 14 11 7 10 9 13 8 12 ban, age group for rounds 3, 4, 5 Round 4 Round 3 Age group of respondent Residence Gender of respondent % of below 25 25-44 45-64 65+ respondent Rural Urban Male Female s 26 36 39 44 43 43 41 45 40 36 35 29 30 29 29 28 25 32 20 20 19 18 19 18 21 20 17 18 9 12 8 10 10 10 10 10 Round 3 Age group of respondent below 25 25-44 45-64 65+ 27 43 43 53 39 29 28 20 21 20 16 18 13 9 13 9 Table 2.8. % of household with any member received a laboratory diagnosis for COVID-19 Round 5 Round 4 Residence Residence % of respondents Rural Urban % of respondents Rural Urban All households 2.3 2.3 2.3 3.0 3.1 2.8 atory diagnosis for COVID-19 Round 3 Residence % of respondents Rural Urban 2.2 2.4 1.6 Table 2.11 Residence Gender of respondent % of respondent Rural Urban Male Female s Yes 93 94 89 93 92 No 7 5 10 6 7 Not sure 1 1 1 1 0 Table 2.11a: Share of respondents willing to get tested for free by rural/urban, quintiles, gender and education Education level of respondent Consumption quintiles Completed No formal Some Completed Some secondary Poorest Second Third Fourth education primary primary secondary &+ 92 94 95 89 91 98 95 92 92 8 5 5 9 9 2 4 7 8 0 1 0 1 0 0 0 1 0 der and education tiles Regions Age groups of respondent Richest Central Eastern Northern Western below 35 35-44 44-54 55-64 89 87 98 97 91 93 93 91 95 10 12 1 2 9 7 6 9 5 1 1 1 1 0 0 1 0 0 ndent 65+ 92 7 2 Residence Gender of respondent Education le % of No formal Rural Urban Male Female respondents education Yes 67 68 65 69 65 47 No 30 29 33 29 32 46 Not sure 3 3 2 2 3 6 Table 2.11b: Share of respondents willing to get tested for pay by rural/urban, quintiles, gender and e Education level of respondent Consumption quintiles Completed Some Completed Some primary Poorest Second Third primary secondary secondary & + 64 71 71 78 57 66 61 33 27 27 22 40 31 35 3 2 2 0 4 3 5 ural/urban, quintiles, gender and education mption quintiles Regions Age group Fourth Richest Central Eastern Northern Western below 35 68 77 74 57 66 68 69 30 21 26 35 33 30 29 2 1 1 8 1 2 2 Age groups of respondent 35-44 44-54 55-64 65+ 71 62 67 59 28 35 28 36 1 3 5 5 Residence Gender of respondent Education le % of No formal Rural Urban Male Female respondents education Amount 10797 9482 13657 11735 9803 7507 Table 2.11c: Average amount ready to be paid for testing Education level of respondent Consumption quintiles Completed Some Completed Some primary Poorest Second Third primary secondary secondary & + 8831 12497 10969 16086 9003 8871 8515 e paid for testing mption quintiles Regions Age group Fourth Richest Central Eastern Northern Western below 35 11041 13831 10327 9306 10227 12649 11240 Age groups of respondent 35-44 44-54 55-64 65+ 10621 9167 13118 9092 100 16000 90 14000 80 12000 70 % of respondents 60 10000 UGX 50 8000 40 6000 30 4000 20 10 2000 0 0 Total Rural Urban Willing to get tested for free (lhs) Willing to pay to get tested (lhs) Amount to pay (rhs) Residence Gender of respondent Education level of % of No formal respondent Rural Urban Male Female education s Yes 88 90 86 89 88 88 No 10 9 13 10 10 7 Not sure 1 1 1 1 2 4 Table 2.12: Share of respondents who would a Round 5 Education level of respondent Regions Age groups Completed Some Completed Some secondary Central Eastern Northern Western below 35 primary primary secondary &+ 87 91 89 89 83 91 97 86 91 11 9 10 11 15 6 2 14 8 1 1 0 0 2 3 0 0 1 re of respondents who would agree to be vaccinated by rural/urban, quintiles, gender and education in round 4 Age groups of respondent Residence Gender of respondent % of 35-44 44-54 55-64 65+ respondent Rural Urban Male Female s 87 87 88 87 84 86 81 85 84 12 12 8 11 13 12 17 12 14 0 1 3 2 2 2 2 2 2 Round 4 Education level of respondent Regions Completed No formal Some Completed Some secondary Central Eastern Northern Western education primary primary secondary &+ 87 85 89 80 80 76 92 93 81 10 12 9 19 16 22 4 5 16 4 2 2 1 4 1 4 2 3 Age groups of respondent below 35 35-44 44-54 55-64 65+ 84 86 81 86 87 14 12 15 11 10 2 2 3 3 3 Table 2.13a Share of respondents who think Residence Gender of respondent Educat % of No formal respondent Rural Urban Male Female education s Share of respondents who believed to have or had COVID with or without test 7 6 7 8 6 1 f respondents who think that he or she has or have had COVID/19 regardless of having done a test or not by area, region, education and quintiles in Education level of respondent Consumption quintiles Completed Some Completed Some secondary Poorest Second Third Fourth Richest primary primary secondary &+ 8 4 7 10 4 10 6 6 7 on, education and quintiles in round 5 Regions Age groups of respondent Central Eastern Northern Western below 35 35-44 44-54 55-64 65+ 7 9 11 1 8 9 7 2 2 Table Residence Gender of respondent % of Rural Urban Male Female respondents Share of respondents whose friend/relative/neighbor have been infected with COVID-19 (suspected or confirmed) 19 15 26 17 20 Table 2.13b Share of respondents whose friend/relative/neighbor have been infected with COVID-19 (suspected or confirm Education level of respondent Consumption quintiles No formal Completed Some Completed Some primary Poorest Second education primary secondary secondary & + 4 13 22 22 33 14 10 with COVID-19 (suspected or confirmed) by area, region, education in round 5 Consumption quintiles Regions Third Fourth Richest Central Eastern Northern Western 18 18 28 29 16 14 13 Age groups of respondent below 35 35-44 44-54 55-64 65+ 18 23 22 13 9 Having little interest or pleasure in doing things that you used to enjoy? Feeling sad, down, depressed, or hopeless? Trouble sleeping including staying asleep or sleeping much more or much less than you normally do? Feeling tired or like you are carrying a heavy burden or like you have little strength in your body? Your appetite including eating much less or much more than you normally do? Feeling bad about yourself, feeling that you are a failure, feeling that you are worthless, or feeling guilt that that you have let yourself or y Having trouble concentrating on things such as your work, the care of your children or other activities? Moving or speaking so slowly that other people have noticed? or have you experienced the opposite - meaning that others noticed that yo Residence Gender of respondent Education level of responden % of No formal Rural Urban Male Female Some primary respondents education 6 7 4 5 7 12 7 9 9 10 7 11 17 9 7 8 6 7 8 21 7 11 12 8 10 12 31 10 4 4 3 3 4 7 4 6 6 4 6 6 9 8 4 4 4 3 5 10 3 2 3 1 2 3 8 3 Table 9.10 Respondents who experienced symptoms everyday or half of the days Education level of respondent Consumption quintiles Completed Some Completed Poorest Second Third Fourth primary secondary secondary & + 3 2 5 5 6 8 6 8 5 5 11 9 8 9 4 5 6 12 10 8 3 8 9 9 13 14 13 7 2 3 5 4 3 5 3 2 4 1 9 5 6 4 2 4 2 5 3 3 3 0 2 0 3 3 2 2 ay or half of the days Regions Age groups of respondent Richest Central Eastern Northern Western below 35 35-44 5 9 5 5 5 5 5 9 9 8 9 10 8 9 7 5 8 12 6 6 5 10 7 17 9 12 7 8 4 3 6 4 3 4 3 5 7 7 4 5 4 5 6 3 4 4 5 4 3 2 2 2 2 3 1 2 Age groups of respondent 44-54 55-64 65+ 6 7 13 11 10 12 9 7 16 13 16 21 3 4 6 4 8 11 3 3 10 3 2 7 Residence Gender of respondent % of Rural Urban Male Female respondents no depression 75 73 78 78 72 mild depression 20 21 19 17 23 moderate depression 4 4 3 4 4 moderately severe depression 1 1 1 1 1 severe depression 0 0 0 0 1 Table 9.11a Depression level of respondents who experienced symptoms Education level of respondent Consumption quintiles No formal Completed Some Completed Some primary Poorest Second education primary secondary secondary & + 59 73 84 74 78 72 74 28 21 13 23 20 22 20 9 4 2 2 2 4 6 2 1 0 1 0 2 0 2 0 0 0 0 0 0 ndents who experienced symptoms everyday or half of the days Consumption quintiles Regions Third Fourth Richest Central Eastern Northern Western 71 78 77 70 75 76 79 22 19 19 27 18 18 15 5 2 2 1 6 4 5 0 1 2 2 0 1 1 1 0 0 0 1 0 0 Age groups of respondent below 35 35-44 44-54 55-64 65+ 77 80 72 72 63 19 16 21 24 26 3 2 6 3 7 1 1 0 1 2 0 0 0 0 2 Residence Gender of respondent Educ % of No formal Rural Urban Male Female respondents education percent of respondents 5 6 3 5 6 13 Table 9.11b Respon Education level of respondent Consumption quintiles Completed Some Completed Some primary Poorest Second Third primary secondary secondary & + 6 3 3 2 6 7 7 Table 9.11b Respondents with clinically significant depression (>10) mption quintiles Regions Age groups Fourth Richest Central Eastern Northern Western below 35 3 4 3 7 5 6 4 Age groups of respondent employment during last 7 days chan Farming not employed employed above or the 35-44 44-54 55-64 65+ same 4 7 5 11 10 4 5 change in income since last call Farming Business Wage employment lower or no above or the lower or no above or the lower or no income same income same income 7 3 8 5 9 Table 3.2. Most important strategies for those children who missed school during the 2019/20 school year i UNPS consumption per capita quintiles % all HHs Q1 Q2 Q3 Add more days to school calendar 43 39 31 36 Add more hours to the shool day 7 13 16 13 Repeat the missed school period 31 32 33 32 Focus on teaching basic reading and maths 0 1 2 1 Reduce the content of each subject taught 2 3 1 2 Reduce the number of subjects taught 0 0 0 2 Tests levels of learning when children return 6 5 7 10 There will not be any need for catch-up 6 2 3 3 Holiday lessons 4 5 3 4 Other reasons 2 6 6 3 ing the 2019/20 school year in order for them to catch up for the lost time/classes in R5 by area, region, quintiles tion per capita quintiles Region Sector Q4 Q5 Central Eastern Northern Western Rural 29 35 10 21 48 63 37 12 12 11 16 7 14 12 31 32 39 34 35 18 32 2 1 1 1 2 0 1 5 3 3 4 2 1 2 2 1 2 1 0 1 0 11 8 15 11 1 3 6 2 3 5 4 2 1 4 7 4 4 8 2 4 5 1 4 3 8 3 1 4 , quintiles Sector Urban 30 12 30 2 4 2 13 2 4 1 Table 3.3 Practical steps for students and staff to adopt in school to prevent the spread of coronav Region % all HHs Central Maintaining physical distance 84 90 Regular hand cleaning 97 93 Wearing face masks 91 93 Staying isolated at home when experiencing coronavirus symptoms 95 89 ol to prevent the spread of coronavirus in R5 by area, region Region Sector Eastern Northern Western Rural Urban 84 96 89 88 90 96 94 95 95 97 90 99 93 93 94 86 95 92 91 92 Table 3.4 Share of children who received parental support UNPS consumption per capita % all HHs Q1 Q2 Played with the child 66 62 55 Read books or looked at picture books with the child 26 29 28 Told stories to the child 40 39 35 Sang songs to or with the child, including lullabies 47 49 43 Took the child outside the home 31 31 28 Named, counted, or drew things for or with the child 26 36 35 who received parental support by type of support in R5 by area, region, quintiles UNPS consumption per capita quintiles Region Q3 Q4 Q5 Central Eastern Northern Western 67 63 63 62 72 71 49 44 47 35 39 41 22 36 42 42 40 32 45 42 42 52 47 48 41 57 52 44 37 36 32 29 42 25 34 49 47 39 34 38 35 48 Sector Rural Urban 62 64 34 38 40 38 46 53 32 34 38 41 Round1 UNPS consumption per capita quintiles % all HHs Q1 Q2 Q3 Q4 Q5 HHs with children ages 3 - 81 18 96 91 82 78 67 HHs with children attending93 87 school, pre-closures 93 92 96 94 59 Engaged in any learning/education 45 activities* 49 57 66 74 Round2 Percent HHs, by sector UNPS consumption per capita quintiles Rural Urban % all HHs Q1 Q2 Q3 Q4 84 75 81 95 91 81 78 92 94 94 89 93 94 95 56 67 60 44 53 56 69 Table 3.8. Coronavirus restrictions - effects on education 2 Round3 quintiles Percent HHs, by sector UNPS consumption per capita quintiles Q5 Rural Urban % all HHs Q1 Q2 Q3 66 85 72 81 95 90 83 97 93 96 93 89 92 93 73 54 73 52 32 48 51 estrictions - effects on education* Round3 Round4 tion per capita quintiles Percent HHs, by sector UNPS consumption per capita qu Q4 Q5 Rural Urban % all HHs Q1 Q2 77 66 85 72 81 93 89 95 97 93 96 95 93 95 60 63 47 64 52 34 52 Round4 UNPS consumption per capita quintiles Percent HHs, by sector UNPS consumptio Q3 Q4 Q5 Rural Urban % all HHs Q1 82 80 67 84 73 62 31 94 94 96 95 94 81 95 51 59 63 51 57 50 30 Round5 UNPS consumption per capita quintiles Percent HHs, by sector Q2 Q3 Q4 Q5 Rural Urban 52 55 75 100 55 83 91 82 79 66 85 71 48 45 59 66 47 59 Round 4 (O Pre-COVID-19 consumption per adult equivalent All Q1 Q2 Q3 Received any social assistance 12 15 16 15 All HH Q1 Q2 Q3 Food 0 0 0 2 Cash Transfers 0 0 0 0 Other in-kind transfers (excluding food) 11 15 16 14 Cash for work (Labour intensive public work) Table 8.1-3 Incidence of social assistance in the fourth and fifth round by area, region and quintiles Round 4 (Oct/Nov 2020) on per adult equivalent quintiles Region Q4 Q5 Central Eastern Northern Western All 9 8 0 7 5 4 17 Q4 Q1 Central Eastern Northern Western All HH 0 0 0 1 1 0 1 0 1 0 0 0 3 1 9 7 0 6 5 1 15 0.2 region and quintiles Round 5 (Feb 2021) Pre-COVID-19 consumption per adult equivalent quintiles Region Q1 Q2 Q3 Q4 Q5 Central Eastern 18 23 17 15 12 11 5 Q1 Q2 Q3 Q4 Q1 Central Eastern 0 1 1 0 0 0 1 2 1 1 1 2 1 0 16 21 14 14 11 9 4 0.1 0.0 0.3 0.6 0.0 0.5 0.0 Region Northern Western 46 10 Northern Western 0 1 4 0 42 9 0.1 0.0 Table 8.2 Sources Assistance since last interview Round 4 Round 5 Government 94 88 Political leaders 2 8 Community organization/cooperative 0 1 NGO 3 2 Internation organization 2 0 Religious bodies 0 0 Other 4 2 Table 8.4. Food Security Problems Due to lack of money or other % of HHs resources: % of HHs % of HHs % of HHs Round 2 (July/August Round 1 (June 2020) Round 3 (September/October 2020) 2020) Round 4 (November 2020) Composite FIES index Severe Overal 9% 5% 2% 1% Rural 9% 6% 2% 2% Urban 8% 3% 1% 1% Poorest quintile Consumption Quintile 10% 8% 3% 2% Q2 11% 6% 2% 2% Q3 9% 5% 2% 2% Q4 8% 3% 2% 1% Richest quintile 7% 3% 1% 0% Region Central 8% 3% 2% 1% Eastern 10% 9% 4% 3% Northern 16% 8% 2% 2% Western 2% 1% 0% 1% Moderate Overal 43% 33% 23% 23% Rural 42% 35% 25% 25% Urban 44% 29% 18% 17% Poorest quintile Consumption Quintile 52% 41% 31% 33% Q2 52% 40% 29% 29% Q3 43% 38% 27% 23% Q4 40% 27% 20% 18% Richest quintile 31% 21% 10% 11% Region Central 38% 23% 16% 19% Eastern 53% 45% 33% 31% Northern 64% 51% 29% 28% Western 22% 19% 17% 15% % of HHs Round 5 (February 2021) 2% 3% 1% 3% 3% 3% 1% 1% 1% 5% 1% 1% 22% 23% 19% 26% 28% 26% 20% 11% 15% 33% 24% 17% Table 4.1 Respondents working status last week (any work for pay or any income generating activities) following respon Status of work Pre-March 2020Round 1 Round 2 Round 3 Respondent WORKING (%) 86 70 86 89 Also was working in previous round 76 93 Returned to work since previous round 24 7 Respondent NOT WORKING (%) 14 30 14 11 Also not working in previous round* 47 64 70 Stopped working since previous round* 53 36 30 rating activities) following respondent Round 4 Round 5 88 86 96 95 4 5 12 14 56 53 44 47 Table 4.2 Work stoppages, by industry of main job RETURNED to work (% of Stopping activities by sector in respondents that STOPPED) Round 1 Round 4 Round 5 Round 4 All 17 5 8 4 Agriculture 19 58 83 52 Mining & Utilities 6 11 2 8 Construction, Transport & Professional Act. 15 7 2 11 Commerce 35 19 6 3 Public administration 1 Personal services 17 2 17 Other 7 5 5 9 ETURNED to work (% of spondents that STOPPED) Round 5 4 65 8 14 8 5 Table 4.2b Repartition of main activity (working) by sector Round 1 Round 4 Round 5 Agriculture 62 60 58 Mining & Utilities 5 6 6 Construction, Transport & Professional Act. 9 9 10 Commerce 16 15 16 Public Administration 1 1 1 Services 3 6 6 Other 5 4 4 All 1 1 1 Table 4.3 Job stability across rounds Round 2 Round 3 Round 4 Round 5 Same job as before 60 91 88 87 Changed jobs 3 1 3 4 Not previously working 38 8 9 9 Table 4.4 Type of work of those respondents working Round 1 Round 2 Round 3 % of % of all % of all respondents % of all respondents respondents classified as respondents working working new workers working in Round 2 Family Business 23 24 76 21 Family farming (or livestock or fishing) 58 62 91 66 Employee in private company 19 12 82 13 Employee in government 3 88 Paid apprentice/trainee/intern 0 0 Percentage of respondents working 70 86 87 89 ose respondents working Round 3 Round 4 Round 5 % of % of % of respondents % of all respondents % of all respondents classified as respondents classified as respondents classified as new workers working new workers working new workers in Round 3 in Round 4 in Round 5 5 20 4 28 5 7 62 4 52 4 11 12 11 15 6 5 9 5 2 0 0 0 7 88 5 84 4 Table 4.5 COVID-19 workplace prevention measures (% of wage workers) - measure taken by employer Use of disinfectant for cleaning Provide hand sanitizer Raising awareness about preventative measures Provide masks Provide gloves Allowed to work from home Respondent not going to office or office is closed None (employer not taking any measures) Other rkers) - measure taken by employer Round 4 49 58 56 61 12 3 0 20 6 Table 4.6 Colleagues following practice of personal hygiene and social distancing. Round 4 Do not follow at all 9 Mostly do not follow 12 Sometimes follow and sometimes don't follow 13 Mostly follow 24 Strongly follow 33 Table 4.7 Percentage of colleagues following preventive measures Round 4 Percentage of colleagues following preventive measures 64 Table 4.8 Family businesses, status & fluctuation* (% of HHs) GHS-P Round 1 Round 2 Round 3 Round4 Open 48 26 35 39 40 Temporarily closed (R1 "closed") 17 10 9 8 Permanently close 2 2 1 No NFE 52 58 53 50 51 Round5 41 8 2 50 Table 4.9 Family busine Round 1 (June 20) Round 4 (Oct/Nov 20 Same as last month Less than last month Less Higher than last than last month month Agriculture 78 22 0 23 Mining & Utilities 79 17 4 43 Construction, Transport & Professional Act. 91 9 0 32 Commerce 93 5 2 26 Services 91 8 1 10 All activities 90 8 2 28 Table 4.9 Family business revenues, by sector Round 4 (Oct/Nov 20) Round Round 5 (Feb 5 Compared to the average monthly revenues during the 12 mo 21) Higher than last Same as last month Less month than last month Same as last month Less Higher than last month 42 35 45 24 31 50 27 30 37 32 31 47 30 38 29 22 48 62 35 40 33 31 37 52 24 66 19 41 40 42 32 40 32 31 37 51 age monthly revenues during the 12 months period prior to the school closure The same High 24 26 31 21 13 25 21 27 34 24 23 25 Table 4.10 HH Income sources in the last 12 months Compared to the Round 4 monthly income Compared to the Round average 5 average during the 12 months period prior to during the 12 months p Above Same Below Above Family farming, livestock or fishing 28 30 41 32 Non-farm family business, including fam 31 10 59 37 Wage employment of household members 16 40 44 20 Unemployment benefits 0 0 0 0 Remittances from abroad 13 11 75 14 Assistance from family within the country 22 18 60 26 Assistance from other non-family individual 39 19 42 15 Income from properties, investments or savings 31 31 38 21 Pension 10 90 0 5 Assistance from the Government 17 67 16 9 Assistance from NGOs / charitable organanization 52 7 41 36 Other income 20 0 80 0 mpared to the Round 5 monthly income average during the 12 months period prior to Same Below 29 39 15 47 42 38 0 0 3 83 19 55 11 74 29 50 95 0 82 10 0 64 19 81 % of Percent HHs, by rural/urban Percent HHs, by region producer HHs Rural Urban Central Eastern Northern 0.76 Percentage of respondents 0.51 0.88 in farming that participated activities 0.65 0.82 0.80 Table 6.1a Percentage of respondents t Round 4 y region Percent HHs, by landholding quintile Percent HHs, by consu Western Q1 Q1 Q3 Q4 Q5 Q1 0.81 0.92 0.96 0.92 0.94 0.97 0.84 .1a Percentage of respondents that participated in farming activities (comparison with the 2019 second season based on UNPS data) Percent HHs, by consumption per capita quintile % of Percent HHs, by rural/urban Q1 Q3 Q4 Q5 producer HHs Rural Urban 0.85 0.84 0.75 0.59 0.95 0.96 0.93 season based on UNPS data) Round 5 Percent HHs, by region Percent HHs, by landholding quintile Central Eastern Northern Western Q1 Q1 Q3 0.98 0.95 0.88 0.99 0.94 0.98 0.94 by landholding quintile Percent HHs, by consumption per capita quintile Q4 Q5 Q1 Q1 Q3 Q4 Q5 0.98 0.99 0.91 0.96 0.97 0.96 0.94 Table 6.1 % of producer Percent HHs, by rural/urban Percent HHs, by r HHs Rural Urban Central Advised to stay home 0% 1% 0% 0% Reduced availability of hired labor 0% 1% 0% 0% Restriction on movement and travel 2% 1% 5% 8% Unable to acquire/transport seeds 7% 10% 0% 38% Unable to acquire/transport fertilizer 0% 0% 0% 0% Unable to acquire/transport other inputs 0% 0% 0% 0% Unable to sell/transport outputs 0% 0% 0% 0% Ill or need to care for ill family member 16% 10% 31% 49% Other 75% 79% 64% 6% Table 6.1b Reasons for not participating in agricultural activities Round 4 Percent HHs, by region Percent HHs, by landholding quintile Eastern Northern Western Q1 Q1 Q3 Q4 0% 7% 7% 0% 0% 0% 4% 0% 7% 7% 0% 0% 0% 4% 0% 7% 7% 0% 26% 0% 4% 0% 0% 0% 0% 0% 8% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 2% 88% 88% 5% 0% 0% 0% 98% 5% 5% 95% 74% 92% 96% quintile Percent HHs, by consumption per capita quintile Q5 Q1 Q1 Q3 Q4 Q5 0% 0% 0% 3% 0% 0% 0% 0% 0% 3% 0% 0% 0% 0% 0% 3% 0% 14% 0% 0% 0% 42% 14% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 41% 0% 0% 74% 100% 100% 59% 55% 86% 12% Table 6.2a Changes in farm gate prices f Round 3 Total Rural Urban Central Eastern Small bunch of Banana 4000 4000 5000 5000 4000 Medium bunch of bananas 7000 7000 8000 8000 7000 Large bunch of bananas 10000 10000 12000 15000 15000 100 kg bag of fresh cassava 40000 40000 40000 50000 40000 one basin of dry cassava chips 9000 9000 8000 7000 7000 one kg of dry cassava flour 1000 1000 1000 1000 800 one kg of beans 3000 3000 3000 3800 2500 one kg of maize 600 600 600 600 600 Changes in farm gate prices for the 3 main crops (R3, R4,R5) Round 4 Northern Western Total Rural Urban Central Eastern 10000 4000 5000 4500 5000 5000 4000 20000 6000 7000 7000 8000 8000 7000 30000 10000 10000 10000 12000 15000 12000 40000 50000 50000 50000 60000 50000 50000 10000 10000 10000 10000 10000 15000 8000 800 1000 1000 1000 1000 1200 1000 2500 3000 2500 2500 3000 3000 2000 500 700 650 600 700 600 700 Northern Western 10000 5000 20000 7000 30000 10000 40000 70000 11000 10000 800 800 2000 2500 500 700 Percent HHs, by rural/urban Percent HHs, by region % of producer HHs Rural Urban Central Eastern Northern Area planted in acres 1.09 1.08 1.12 0.93 0.95 1.49 Table 6.2c. Area planted Round 5 y region Percent HHs, by landholding quintile Percent HHs, by consu Western Q1 Q1 Q3 Q4 Q5 Q1 1.04 1.08 1.38 0.84 0.96 1.52 1.04 Percent HHs, by consumption per capita quintile Q1 Q3 Q4 Q5 1.07 1.00 1.05 1.28 % of to COVID Planting activity response 19 Percent HHs, by rural/urban Percent HHs, by region producer HHs Rural Urban Central Eastern Northern Yes, changed planting5 activities 5 4 2 1 12 0 No, too early in ag cycle 0 0 0 0 0 No, did not change 95 95 95 98 98 88 Round 4 Percent HHs, by landholding quintile Percent HHs, by consumption per Western Q1 Q1 Q3 Q4 Q5 Q1 6 6 5 4 2 9 3 0 0 0 0 0 0 0 94 94 94 95 97 91 97 Table 6.3. Changes to crop planting activities rcent HHs, by consumption per capita quintile Percent HHs, by rural/urban % of producer HHs Q1 Q3 Q4 Q5 Rural Urban 6 5 5 6 1 1 0 0 0 0 0 67 84 7 94 95 94 93 32 15 93 Round 5 Percent HHs, by region Percent HHs, by landholding quintile Central Eastern Northern Western Q1 Q1 Q3 0 0 0 4 0 0 0 100 68 26 96 62 93 77 0 32 74 0 38 7 23 Percent HHs, by consumption per capita quintile Q4 Q5 Q1 Q1 Q3 Q4 Q5 44 0 0 0 6 0 0 0 100 22 44 82 98 93 56 0 78 56 11 2 7 Table 7.3 Pro % of producer/sell er HHs Since the last call, were there any products from your farm that needed to be sold? 53 Was your household able to sell any products from your farm? 90 Table 7.3 Proportion of households that needed to sell and were able to sell livestock Round 4 % of Percent HHs, by rural/urban Percent HHs, by region producer/sell Rural Urban Central Eastern Northern Western er HHs 53 53 45 66 38 61 77 90 88 87 83 92 96 93 ock Round 5 %1 Round of Percent HHs, by rural/urban Percent HHs, by region producer/sell Rural Urban Central Eastern Northern Western er HHs 77 75 80 71 74 80 43 93 91 96 93 89 93 60 Table 7.13a Changes in Sales of livestock products % of seller Percent HHs, by rural/urban Percent HHs, by region HHs Rural Urban Central Eastern Increased 27 26 31 40 24 Declined 7 8 4 7 7 Milk No change 27 22 41 30 22 No sales 39 44 23 23 48 Increased 4 5 1 7 4 Declined 3 3 1 0 2 Egg No change 5 5 7 1 0 No sales 88 87 90 92 94 Increased 36 31 52 63 8 Declined 4 2 9 4 1 Meat No change 13 14 10 13 2 No sales 47 52 29 20 89 Percent HHs, by region Northern Western 8 38 10 4 31 24 51 34 0 1 5 8 3 29 93 61 23 37 0 10 10 29 66 25 Table 7.13b Reasons why sells declined % of seller Percent HHs, by rural/urban HHs declaring decrease in Rural Urban sell Local market not operating/closed 5 0 38 Hotel/restaurants were closed 0 0 0 Limited/no transportations 0 0 0 Milk Restriction on movement/travel 0 0 0 Fall in prices/reduced profitabilities 50 47 67 Other 50 53 33 Local market not operating/closed 0 0 0 Hotel/restaurants were closed 0 0 0 Limited/no transportations 0 0 0 Egg Restriction on movement/travel 0 0 0 Fall in prices/reduced profitabilities 52 47 100 Other 48 53 0 Local market not operating/closed 0 0 0 Hotel/restaurants were closed 0 0 0 Limited/no transportations 0 0 0 Meat Restriction on movement/travel 3 7 0 Fall in prices/reduced profitabilities 97 94 100 Other 3 6 0 sells declined Percent HHs, by region Central Eastern Northern Western 0 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 23 38 70 100 77 62 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 93 100 0 7 0 0 0 0 0 0 0 0 0 10 0 0 100 100 95 0 0 5 %7.13c Table Reasons why respondent reported no sell of seller HHs declaring Percent HHs, by rural/urban no sell Rural Urban Local market not operating/closed 0 0 0 Hotel/restaurants were closed 0 0 0 Limited/no transportations 0 0 0 Milk Restriction on movement/travel 0 0 0 Fall in prices/reduced profitabilities 0 0 0 Production only for home production 100 100 100 Other 0 0 0 Local market not operating/closed 0 0 0 Hotel/restaurants were closed 0 0 0 Limited/no transportations 0 0 0 Egg Restriction on movement/travel 0 0 0 Fall in prices/reduced profitabilities 1 2 0 Production only for home production 93 93 92 Other 6 6 8 Local market not operating/closed 0 0 0 Hotel/restaurants were closed 0 0 0 Limited/no transportations 0 0 0 Meat Restriction on movement/travel 0 0 0 Fall in prices/reduced profitabilities 8 10 0 Production only for home production 93 92 96 Other 4 4 4 ent reported no sell Percent HHs, by region Central Eastern Northern Western 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 100 100 100 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 97 89 100 100 0 11 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 54 0 0 0 52 100 100 100 25 0 0 0 Table 7.14 Price changes by livestock product type % of seller HHs able to Percent HHs, by rural/urban Percent HHs, by region report price Rural Urban Central Eastern Increased 16 18 12 46 4 Milk Declined 5 6 2 6 3 No change 78 76 86 47 94 Increased 2 2 1 2 2 Egg Declined 2 2 1 0 0 No change 96 96 97 98 98 Increased 32 29 40 48 15 Meat Declined 5 4 9 4 5 No change 63 67 51 48 80 pe Percent HHs, by region Northern Western 4 14 7 6 89 80 3 2 5 8 93 90 18 34 0 12 82 54