LBR_2023_LAC_hh_v01 DDI_LBR_2024_LAAS_v01_M_v01_A_ESS_FAO Liberia Institute of Statistics and Geo-Information Services Ministry of Agriculture Statistics Division Nesstar Publisher Liberia Annual Agricultural Survey 2024 Income, Labour and Productivity (ILP) module LAAS_2024 LBR_2024_LAAS_v01_M_v01_A_ESS Liberia Institute of Statistics and Geo-Information Services

50x2030 Initiative

Ministry of Agriculture Food and Agriculture Organization of the United Nations © LISGIS . All Rights Reserved Nesstar Publisher Government of Liberia World Bank Matthew Wantoe, Director for ICT Division Agricultural Survey [ag/oth] Agricultural Households Crop Production Area measurement Land Tenure Livestock Labor Use Women's Empowerment Agricultural Households Land Tenure Crop Production Crop Destination Labor Input Use Seed Use and Acquisition Livestock Aquaculture Fishing Forestry Subsidies, Loans and Transfers Liberia National coverage Agricultural households All households in Liberia having at least one member engaged in agriculture activity during the 2023/2024 farming season. Sample survey data [ssd] Liberia Institute of Statistics and Geo Information Services Ministry of Agriculture The survey design and methodology align with the 50×2030 Initiative’s methodological framework and builds upon the experience of the 2024 Liberia Agriculture Census (LAC 2024). It employs a stratified two-stage sampling design to ensure representative estimates at both national and regional levels. The first stage involved a selection of Enumeration Areas (EAs) as Primary Sampling Units (PSUs) using Probability Proportional to Size (PPS), where size was measured by the number of agricultural households per EA from the agricultural census. In the second stage, within each selected EA, 10 agricultural households were chosen using simple random sampling without replacement. Computer Assisted Personal Interview [capi] Data were collected using computer-assisted personal interviewing (CAPI) with tablets equipped with real-time validation rules. Field teams were trained extensively on questionnaire content, area measurement protocols, and data-quality checks. Daily monitoring dashboards allowed monitors and data quality officers to track progress and consistency across regions. To further ensure data quality, the Liberia Institute of Statistics and Geo Information Services (LISGIS) implemented field verification of sampled households, cross-checks of GPS coordinates, and consistency reviews between crop and livestock modules. Each sampled household was assigned a design weight equal to the inverse of its overall probability of selection, incorporating both first- and second-stage probabilities. Weights were adjusted for non-response and calibrated against known population totals from the 2024 Agriculture Census to improve consistency. Confidentiality of respondents is guaranteed by the National Statistics and Geo-Information Act of Liberia, enacted 2004 and the United Nations Fundamental Principles on Official Statistics, specifically principle six. Before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by LISGIS. 2. Not to use any technique in an attempt to learn the identity of any person, household, non-household or community not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor. Liberia Institute of Statistics and Geo-Information Services Liberia Institute of Statistics and Geo-Information Services. Liberia Annual Agriculture Survey 2024 (LAAS-2024), Ref. LBR_LAAS_2024_v01. Dataset downloaded from https://lisgis.gov.lr/. The user of the data acknowledges that the authorized distributor of the data (i.e., LISGIS), MOA and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. SEC0A_ano This file contains information about the interview cover. 5674 12 SEC0B_ano This data file contains information about the identification of the agricultural holding. 5674 10 SEC0C_ano This data file contains information about the record keeping activities of the household. 5674 16 SEC0D_ano This data file contains information about the characteristics of the household members. 31577 20 SEC0E_ano This data file contains information about the land tenure characteristics of the agricultural parcel. 12101 73 SEC1_ano This data file contains information about other details and characteristics of the agricultural parcel. 7537 20 SEC1A_ano This data file contains information about the temporary (non-vegetable) crop production. 9325 112 SEC1B_ano This data file contains information about the destination of the temporary crops produced. 4523 66 SEC1H_ano This data file contains information about the temporary production for vegetable crops. 2711 136 SEC2_ano This data file contains information about the characteristics of the agricultural plot. 9106 25 SEC2A_ano This data file contains information about the permanent crops produced by the holding. 1922 67 SEC2B_ano This data file contains information about the destination of the permanent crops. 782 69 SEC2C_ano This data file contains information about the processing of the crops produced by the household. 14835 20 SEC3_ano This file contains data related to the crops cultivated by the agricultural households. 13957 16 SEC3A_ano This data file contains information about the use of household members as labour input for the household. 26524 18 SEC3B_ano This data file contains information about the hired/external labour used by the household. 16227 15 SEC3C_ano This data file contains information about inputs that were used and how they were acquired. 5601 14 SEC3D_ano This data file contains information about acquisition of permanent crop and trees. 1922 20 SEC4_ano This data file contains information about seed use and acquisition. 7268 26 SEC4AI_ano This data file contains information about livestock rearing activities of the household. 3780 36 SEC4AII_ano This data file contains information about poultry rearing activities of the household. 4466 36 SEC4B_ano This data file contains information about changes to the number of livestock kept by the household. 330 41 SEC4C_ano This data file contains information about changes to the number of poultry kept by the household. 781 43 SEC4DI_ano This data file contains information about input costs of livestock kept by the household. 330 18 SEC4DII_ano This data file contains information about input costs of poultry kept by the household. 781 18 SEC4EI_ano This data file contains information about labour involved in keeping/rearing livestock. 1350 11 SEC4EII_ano This data file contains information about labour involved in keeping/rearing poultry. 2030 11 SEC4F_ano This data file contains information on the health of the animals kept by the household. 1114 23 SEC4G_ano This data file contains information about milk production from the livestock kept by the household. 224 16 SEC4H_ano This data file contains information about egg production from the poultry kept by the household. 442 16 SEC4I_ano This data file contains information about other livestock products. 1890 15 SEC5A_ano This data file contains information about aquaculture practices of the household. 852 18 SEC5B_ano This data file contains information about labour involved in aquaculture production. 690 11 SEC6A_ano This data file contains information about the fishing practices and activities of the household. 4633 41 SEC6B_ano This data file contains information about labour involved in fishing production. 7725 17 SEC7A1_ano This data file contains information about forest products collected by the household. 87787 18 SEC7A2_ano This data file contains information about charcoal produced by the household. 5674 13 SEC7B_ano This data file contains information about labour involved in forestry activities. 20095 12 SEC8_ano This data file contains information about other costs incurred by the holding. 90784 10 SEC9_ano This data file contains information about subsidies, loans and transfers that the household may have received. 5674 72 Household identifier 5674 Region 5607 67 1 6 3.1403602639558 1.090494759873 1 South Eastern A 461 2 South Eastern B 256 3 North Central 3872 4 North Western 480 5 Greater Montserrado 129 6 South Central 409 Enumeration area code 5674 1 189 62.338209376102 49.945621718951 Urban or Rural 5668 6 1 2 1.8454481298518 0.36150884755292 1 Urban 876 2 Rural 4792 Household engaged in Crop cultivation 5662 12 1 2 1.0217237725185 0.14579301871728 1 Yes 5539 2 No 123 Household engaged in Livestock rearing 5674 1 2 1.9524145223828 0.21290629123989 1 Yes 270 2 No 5404 Household engaged in Poultry raising 5672 2 1 2 1.9287729196051 0.25722645410203 1 Yes 404 2 No 5268 Household engaged in None of the above 5674 1 2 1.9783221713077 0.14564216020071 1 Yes 123 2 No 5551 Household engaged in Aquaculture 5662 12 1 2 1.9775697633345 0.14809116960154 1 Yes 127 2 No 5535 Household engaged in Fishery 5664 10 1 2 1.7284604519774 0.44479293091671 1 Yes 1538 2 No 4126 Household engaged in Forestry 5661 13 1 2 1.326090796679 0.46882237049448 1 Yes 3815 2 No 1846 Survey sampling weight 5674 5.8915384219859 662.73644714174 61.33247832415 51.047590712257 Household identifier 5674 Region 5583 91 1 6 3.1382769120545 1.0849983714836 1 South Eastern A 454 2 South Eastern B 255 3 North Central 3872 4 North Western 472 5 Greater Montserrado 127 6 South Central 403 Urban or Rural 5668 6 1 2 1.8454481298518 0.36150884755292 1 Urban 876 2 Rural 4792 Enumeration area code 5674 1 189 62.338209376102 49.945621718951 Household operates land or raises livestock jointly with other households? 5674 1 2 1.909763835037 0.28654505828606 1 YES 512 2 NO 5162 Number of households, this household operates land or raises livestock? 5673 1 3 0.10558787237793 0.36886802800105 No, does not share 5162 1 1 household 453 2 2 households 28 3 3 or more households 30 What is the legal status of the farm? 5658 16 1 5 2.8154825026511 0.65207460940375 1 Holding of natural (civil) person (registered) 575 2 Partnership - registered (two or more households) 64 3 Holding of natural (civil) person (not registered) 4881 4 Partnership - not registered (two or more households) 106 5 Other specify 32 How many holders in this household? 5674 1 9 1.0979908353895 0.39419306342693 Majority of the farm's activities conducted close to the household's locality? 5674 1 2 1.0664434261544 0.24907756080301 1 Yes 5297 2 No 377 Survey sampling weight 5674 5.8915384219859 662.73644714174 61.33247832415 51.047590712257 Household identifier 5674 Region 5607 67 1 6 3.1403602639558 1.090494759873 1 South Eastern A 461 2 South Eastern B 256 3 North Central 3872 4 North Western 480 5 Greater Montserrado 129 6 South Central 409 Urban or Rural 5668 6 1 2 1.8454481298518 0.36150884755292 1 Urban 876 2 Rural 4792 Enumeration area code 5674 1 189 62.338209376102 49.945621718951 Do you keep a record of the transactions that you do in your farm? 5674 1 4 1.2964399013042 0.65815848166846 1 No, Never 4606 2 Occasionally 477 3 Partially 568 4 Yes, systematically 23 Keeps record on area cultivated/harvested 1068 4606 1 2 1.4569288389513 0.49837479694536 1 Yes 580 2 No 488 Keeps record on crop production 1068 4606 1 2 1.2172284644195 0.41255256829526 1 Yes 836 2 No 232 Keeps record on livestock production 1068 4606 1 2 1.9260299625468 0.26184474076691 1 Yes 79 2 No 989 Keeps record on quantities sold 1068 4606 1 2 1.8295880149813 0.37617048659185 1 Yes 182 2 No 886 Keeps record on revenues from quantities sold 1068 4606 1 2 1.9428838951311 0.23217305539278 1 Yes 61 2 No 1007 Keeps record on quantities of inputs used 1068 4606 1 2 1.8998127340824 0.30039019071751 1 Yes 107 2 No 961 Keeps record on quantities of inputs purchased 1068 4606 1 2 1.8848314606742 0.31937478411736 1 Yes 123 2 No 945 Keeps record on cost of inputs purchased 1068 4606 1 2 1.8820224719101 0.32273263800435 1 Yes 126 2 No 942 Keeps record on workers time 1068 4606 1 2 1.5308988764045 0.49927814535385 1 Yes 501 2 No 567 Keeps record on payment to workers 1068 4606 1 2 1.4419475655431 0.49685114286526 1 Yes 596 2 No 472 Survey sampling weight 5674 5.8915384219859 662.73644714174 61.33247832415 51.047590712257 Household identifier 31577 Region 31109 468 1 6 3.1358127872963 1.0492132129044 1 South Eastern A 2315 2 South Eastern B 1407 3 North Central 21974 4 North Western 2660 5 Greater Montserrado 657 6 South Central 2096 Urban or Rural 31544 33 1 2 1.8260841998478 0.37904307052854 1 Urban 5486 2 Rural 26058 Enumeration area code 31577 1 189 61.329005288659 49.333967530442 HOUSEHOLD MEMBER SERIAL NUMBER 31577 1 23 3.8149602558824 2.4470307750638 Sex of household member? 31576 1 1 2 1.5051621484672 0.49998126868476 1 Male 15625 2 Female 15951 Household member's relationship to the head of household? 31554 23 1 5 2.7313811244216 1.0070456074107 1 HEAD 5674 2 WIFE/HUSBAND 4267 3 CHILD/ADOPTED CHILD 14561 4 OTHER RELATIVE 6965 5 NON-RELATIVE 87 How old is household member in completed years? 31188 389 1 6 2.3020071822496 1.5509060976137 1 0–17 14354 2 18–29 5982 3 30–39 3540 4 40–49 3039 5 50–64 2937 6 65+ 1336 Has household member been away from this household during the past 12 months? 31355 222 1 2 1.8646148939563 0.34213990189967 1 YES 4245 2 NO 27110 For how many months has household member been away from this household? 4245 27332 0.5 12 2.6545347467609 2.4414986091659 How many days did the household member eat in this household in the past 7 days? 30996 581 7 6.577171247903 1.5107551869436 What is the household member's present marital status? 31575 2 3 1.4604592240697 0.77520940477199 Not applicable 4087 1 Married or non-formal union 10340 2 Never Married 15670 3 No longer married 1478 Can the household member read and write in any language? 27490 4087 1 2 1.4698435794834 0.49909883967593 1 YES 14574 2 NO 12916 Has the household member ever attended school? 27490 4087 1 2 1.4748272098945 0.49937501152288 1 YES 14437 2 NO 13053 What is the highest educational level the household member has completed? 30280 1297 6 0.90023117569353 1.2594580702272 NONE (NEVER ATTENDED SCHOOL) 16961 1 NURSERY/PRE-SCHOOL 5371 2 ELEMENTARY 4112 3 JUNIOR HIGH 2079 4 SENIOR HIGH 1526 5 VOCATIONAL/OTHERS 63 6 TERTIARY 168 Has the household member ever received any formal training on agriculture? 27490 4087 1 2 1.9716260458348 0.16604178930563 1 YES 780 2 NO 26710 Is this household member a holder in this household? 19189 12388 1 2 1.6833081452916 0.46519823909167 1 Yes 6077 2 No 13112 Is the household member responsible for the household's farm? 27490 4087 1 2 1.5633321207712 0.49598184554898 1 YES 12004 2 NO 15486 Does the household member organize the daily work on the farm? 27490 4087 1 2 1.5873772280829 0.49231497724525 1 YES 11343 2 NO 16147 Survey sampling weight 31577 5.8915384219859 662.73644714174 61.291369906055 51.479072384296 Household identifier 12101 Region 11949 152 1 6 3.149719641811 1.0714807219275 1 South Eastern A 896 2 South Eastern B 554 3 North Central 8351 4 North Western 1030 5 Greater Montserrado 249 6 South Central 869 Urban or Rural 12097 4 1 2 1.8469868562454 0.3600150495309 1 Urban 1851 2 Rural 10246 Enumeration area code 12101 1 189 61.639120733824 49.389051753178 PARCEL ID 12101 1 15 1.8170399140567 1.0502627128927 How was this parcel acquired? 11492 609 1 6 3.6257396449704 2.1701471009844 1 GRANTED BY CUSTOMARY/COMMUNITY AUTHORITIES 4500 2 ALLOCATED BY GOVERNMENT 3 ALLOCATED BY FAMILY MEMBER 4 INHERITED BY THE DEATH OF A FAMILY MEMBER 807 5 PURCHASED 3171 6 RENTED IN, SHORT-TERM (< 3 YEARS) 3014 7 RENTED IN, LONG-TERM 8 SHARECROPPED IN 9 BORROWED FOR FREE 10 BRIDE PRICE 11 GIFT FROM NON-HOUSEHOLD MEMBER 12 MOVED IN WITHOUT PERMISSION 13 OTHER (SPECIFY) How much in total did you pay for parcel (both cash and payments in-kind)? 572 11529 277250 55787.725524476 74492.98438684 277250 277,250 or more 29 Under which tenure system is this parcel? 12014 87 1 10 3.9898451806226 2.3481744701751 1 Purchased 515 2 Inherited 5291 3 Rented 194 4 Government (provided) 25 5 Customary land 4143 6 Private Company (provided) 4 7 Private Individual (provided) 244 8 Squatter 678 9 Gifted 916 10 Other 4 Who in the household [owns/ holds use rights to] this parcel? 1ST PERSON 12070 31 1 99 2.0149958574979 9.2769875381807 Who in the household [owns/ holds use rights to] this parcel? 2ND PERSON 11465 636 1 99 19.227387701701 36.90302709745 Who in the household [owns/ holds use rights to] this parcel? 3RD PERSON 6579 5522 1 99 54.971120231038 47.647287309631 Who in the household [owns/ holds use rights to] this parcel? 4TH PERSON 2024 10077 1 99 40.131422924901 45.817660930474 Household's parcel document issued by or registered at the Land Registry? 12070 31 1 2 1.8993371996686 0.30089417073127 1 Yes 1215 2 No 10855 Parcel documents with household members listed as owners or use rights holders? 1177 10924 1 8 1.6210705182668 1.4699360932783 1 TITLE DEED 864 2 CERTIFICATE OF CUSTOMARY OWNERSHIP 176 3 CERTIFICATE OF OCCUPANCY 47 4 CERTIFICATE OF HEREDITARY ACQUISITION LISTED IN REGISTRY 30 5 SURVEY PLAN 6 6 RENTAL CONTRACT REGISTERED 11 7 LEASE, REGISTERED 9 8 OTHER (SPECIFY) 34 s0eq11_1_pid1_4 1215 10886 1 22 3.2304526748971 6.3712358949824 s0eq11_1_pid1_4 438 11663 2 11 2.1849315068493 0.74419269290733 s0eq11_1_pid1_4 91 12010 3 7 3.5274725274725 0.98138971011814 s0eq11_1_pid1_4 39 12062 4 9 4.5384615384615 1.0220246635749 s0eq11_1_pid1_4 11 12090 5 8 5.7272727272727 1.009049958219 s0eq11_1_pid1_4 7 12094 6 9 6.7142857142857 1.253566341056 s0eq11_1_pid1_4 2 12099 7 7 7 s0eq11_1_pid1_4 1 12100 8 8 8 <NA> Parcel documents with household members listed as owners or use rights holders? 292 11809 1 8 3.027397260274 1.5485064547064 1 TITLE DEED 21 2 CERTIFICATE OF CUSTOMARY OWNERSHIP 125 3 CERTIFICATE OF OCCUPANCY 66 4 CERTIFICATE OF HEREDITARY ACQUISITION LISTED IN REGISTRY 19 5 SURVEY PLAN 47 6 RENTAL CONTRACT REGISTERED 2 7 LEASE, REGISTERED 4 8 OTHER (SPECIFY) 8 9 No other document available s0eq11_2_pid1_4 293 11808 1 22 2.4914675767918 5.1813775700844 s0eq11_2_pid1_4 84 12017 2 8 2.25 0.86254037796178 s0eq11_2_pid1_4 17 12084 3 5 3.4117647058824 0.71228711990073 s0eq11_2_pid1_4 10 12091 4 7 4.7 0.94868329805051 s0eq11_2_pid1_4 4 12097 5 8 6.5 1.2909944487358 s0eq11_2_pid1_4 1 12100 6 6 6 <NA> s0eq11_2_pid1_4 1 12100 7 7 7 <NA> Parcel documents with household members listed as owners or use rights holders? 115 11986 1 8 3.5826086956522 1.1845689770238 1 TITLE DEED 4 2 CERTIFICATE OF CUSTOMARY OWNERSHIP 5 3 CERTIFICATE OF OCCUPANCY 55 4 CERTIFICATE OF HEREDITARY ACQUISITION LISTED IN REGISTRY 35 5 SURVEY PLAN 9 6 RENTAL CONTRACT REGISTERED 2 7 LEASE, REGISTERED 4 8 OTHER (SPECIFY) 1 9 No other document available s0eq11_3_pid1_4 115 11986 1 22 1.2434782608696 1.9761352693056 s0eq11_3_pid1_4 34 12067 2 8 2.5294117647059 1.2366938848017 s0eq11_3_pid1_4 10 12091 3 5 3.5 0.70710678118655 s0eq11_3_pid1_4 4 12097 4 5 4.75 0.5 s0eq11_3_pid1_4 1 12100 6 6 6 <NA> ENUMERATOR: PLOT RENTED IN (SHORT TERM), SHARE CROPPED IN, OR BORROWED FOR FREE 12070 31 1 2 1.9618889809445 0.19147220868234 1 Yes 460 2 No 11610 Household member has right to sell parcel, either alone or with someone else? 11610 491 1 99 2.686391042205 8.4341513053942 1 Yes 677 2 No 10843 98 Don't know 84 99 Refusal 6 s0eq14apid1_4 677 11424 1 21 1.3456425406204 2.0908081608615 s0eq14apid1_4 240 11861 2 21 2.5583333333333 2.5623467059635 s0eq14apid1_4 26 12075 3 7 3.8846153846154 1.3660724161456 s0eq14apid1_4 7 12094 4 6 4.2857142857143 0.75592894601845 s0eq14apid1_4 2 12099 5 8 6.5 2.1213203435596 Outside the household, who can decide whether to sell parcel? 11 12090 1 3 1.5454545454545 0.93419873299383 1 Relative 8 2 Local official 3 Customary leader 3 4 Other Household member has right to bequeath parcel either alone or with someone else? 11610 491 1 99 2.680706287683 8.8099710257419 1 Yes 1514 2 No 9998 98 Don't know 89 99 Refusal 9 s0eq16apid1_4 1508 10593 1 21 2.1007957559682 4.3100382086145 s0eq16apid1_4 608 11493 2 21 2.3996710526316 2.0139055036451 s0eq16apid1_4 69 12032 3 8 3.8115942028986 1.4977960506617 s0eq16apid1_4 22 12079 4 6 4.2727272727273 0.63108509590102 s0eq16apid1_4 5 12096 5 8 6.4 1.1401754250991 Outside the household, who can decide whether to bequeath this parcel? 79 12022 1 4 1.873417721519 1.066591607226 1 Relative 45 2 Local official 4 3 Customary leader 25 4 Other 5 Household member likely to lose ownership or use rights to this parcel? 12101 1 12 1.1296587058921 0.58093437777197 On a scale from 1 to 5, where 1 is not at all likely and 5 is extremely likely, 12101 1 5 1.8596810180977 0.93904023310994 1 Not at all likely 4948 2 Slightly Likely 5050 3 Moderately likely 1164 4 very Likely 731 5 Extremely likely 208 Household member likely to lose ownership or use rights to this parcel? 9445 2656 1 14 2.166437268396 0.93365022004192 On a scale from 1 to 5, where 1 is not at all likely and 5 is extremely likely, 9445 2656 1 5 1.9162519851773 0.93853654092787 1 Not at all likely 3589 2 Slightly Likely 3921 3 Moderately likely 1208 4 very Likely 591 5 Extremely likely 136 Household member likely to lose ownership or use rights to this parcel? 3031 9070 1 12 3.4322005938634 1.2486054560314 On a scale from 1 to 5, where 1 is not at all likely and 5 is extremely likely, 3031 9070 1 5 1.8601121741999 0.97063953634962 1 Not at all likely 1321 2 Slightly Likely 1101 3 Moderately likely 381 4 very Likely 168 5 Extremely likely 60 Household member likely to lose ownership or use rights to this parcel? 1261 10840 1 17 4.5114988104679 1.4598008309595 On a scale from 1 to 5, where 1 is not at all likely and 5 is extremely likely, 1261 10840 1 5 1.746233148295 0.95068672232836 1 Not at all likely 630 2 Slightly Likely 433 3 Moderately likely 114 4 very Likely 56 5 Extremely likely 28 Parcel area in hectares 12101 4 0.83898107594414 1.0410816505108 4 4 or more Kitchen garden/backyard 12018 83 1 2 1.9860209685472 0.11740853947808 1 Yes 168 2 No 11850 Cultivated with temporary crops 11979 122 1 2 1.5105601469238 0.49990933736504 1 Yes 5863 2 No 6116 Cultivated with permanent crops 12052 49 1 2 1.844756057086 0.36215209989399 1 Yes 1871 2 No 10181 Temporary fallow 12066 35 1 2 1.9726504226753 0.16310666080841 1 Yes 330 2 No 11736 Residential 12085 16 1 2 1.6371534960695 0.48084098238022 1 Yes 4385 2 No 7700 Livestock/poultry 12074 27 1 2 1.9949478217658 0.070901834139157 1 Yes 61 2 No 12013 Other parcel uses 12043 58 1 2 1.992775886407 0.084690739468492 1 Yes 87 2 No 11956 ENUMERATOR: is this parcel entirely or partially used for crop production? 12101 1 2 1.3771589124866 0.48469524577167 1 Yes 7537 2 No 4564 ENUMERATOR: is this parcel entirely or partially rented out or sharecropped out 12101 1 2 1.9977687794397 0.047185020950038 1 Yes 27 2 No 12074 Cash: How much do you receive from renting out/sharecropping out this parcel? 27 12074 17820 2515.8148148148 4869.2136313233 17820 17,820 or more 2 In-kind: How much do you receive from renting out/sharecropping out this parcel? 27 12074 7500 1551.5925925926 2134.752611487 7500 7,500 or more 2 How many months did this payment cover? 21 12080 1 12 7.3809523809524 5.1036868093192 Survey sampling weight 12101 5.8915384219859 662.73644714174 60.469502790115 49.996090030638 Household identifier 7537 Region 7439 98 1 6 3.1254200833445 1.0202298391751 1 South Eastern A 534 2 South Eastern B 322 3 North Central 5332 4 North Western 646 5 Greater Montserrado 138 6 South Central 467 Urban or Rural 7533 4 1 2 1.8541085888756 0.35302075148504 1 Urban 1099 2 Rural 6434 Enumeration area code 7537 1 189 61.176595462386 49.043648438457 PARCEL ID 7537 1 14 1.4136924505772 0.88016800617556 Mode of transportation household uses to reach parcel from the dwelling ? 7455 82 1 7 1.1515761234071 0.72488065878886 1 Foot 7071 2 Bicycle 83 3 Cannoe/Boat 4 Motorbike 253 5 Motor Vehicle 6 Rail Vehicle 7 Other 48 Time to parcel from dwelling or main farm building with this transportation mode? 7537 1 6 2.7675467692716 0.8654691684881 1 On dwelling/Main farm building 241 2 <30 minutes 2880 3 30 minutes - 1 hour 3054 4 1 - 2 hours 1165 5 2 - 3 hours 146 6 > 3 hours 51 What is the main soil type on parcel? 7537 1 9 2.0939365795409 0.72191698441663 1 Sandy 450 2 Loamy 6342 3 Clay 592 4 Don't know 101 9 Other specify 52 How would you rate the extent of erosion on this parcel? 7537 1 4 1.448321613374 0.75521200925901 1 No erosion 5107 2 Low 1749 3 Moderate 413 4 High 268 No erosion control 7537 1 2 1.1272389544912 0.3332625673243 1 Yes 6578 2 No 959 Erosion control bunds 7528 9 1 2 1.9532412327311 0.21113575400443 1 Yes 352 2 No 7176 Tree belts 7519 18 1 2 1.9732677217715 0.16131064517039 1 Yes 201 2 No 7318 Drainage ditches 7535 2 1 2 1.9686794956868 0.17419402210662 1 Yes 236 2 No 7299 Other erosion control facilities 7532 5 1 2 1.9713223579395 0.16690995671191 1 Yes 216 2 No 7316 Is there any irrigation infrastructure on this parcel? 7537 1 2 1.9831497943479 0.12871858648485 1 Yes 127 2 No 7410 Method of irrigating plants/pouring water on the plants on this parcel? 95 7442 1 1 1 1 MANUAL IRRIGATION 95 2 Sprinkler IRRIGATION 3 Drip irrigation 4 Flooding/SURFACE IRRIGATIO 5 Equipped wetland/inland valley bottom 6 Equipped flood 7 recession cultivation 8 Spate irrigation 9 Other(Specify) What is the source of water on this parcel? 7488 49 1 9 3.2668269230769 2.1192219997659 1 Well 2478 2 Borehole 321 3 Lake/Pond 189 4 River/Stream 3945 9 Other specify 555 Is there any greenhouse or high shelter on this parcel? 7526 11 1 2 1.9472495349455 0.22354975673734 1 Yes 397 2 No 7129 How many crop plots (also fallow plots and kitchen gardens) are in this parcel? 7537 1 9 1.2081730131352 0.60302410915286 Survey sampling weight 7537 5.8915384219859 662.73644714174 59.26695657425 47.362999926821 Household identifier 9325 Region 9191 134 1 6 3.0936785986291 1.0001274525189 1 South Eastern A 653 2 South Eastern B 490 3 North Central 6591 4 North Western 814 5 Greater Montserrado 86 6 South Central 557 Urban or Rural 9312 13 1 2 1.87360395189 0.33231302447076 1 Urban 1177 2 Rural 8135 Enumeration area code 9325 1 189 62.807399463807 49.796654383592 PARCEL ID 9325 1 11 1.1579624664879 0.52890711638134 PLOT ID 9325 1 7 1.1114209115282 0.42488468076397 CROP CODE 9325 11 99 18.891689008043 20.982711842295 11 Rice/Paddy 4414 12 Cassava 2723 13 Corn/Maize 374 14 Eddoes 359 18 Sweet Potatoes 100 20 Beans 171 42 Plantain 617 46 Bitterballs 50 Cucumber 51 Egg Plant 55 Okra 56 Pepper 65 Cocoa 67 Coffee 69 Palm Oil 74 70 Rubber 71 Sugar Cane 99 Other Crops 493 Solid manure 9325 1 2 1.9963538873995 0.060276098775636 1 Yes 34 2 No 9291 Liquid manure/slurry 9325 1 2 1.9991420911528 0.029279084198005 1 Yes 8 2 No 9317 Vegetative material & compost 9325 1 2 1.9988203753351 0.034327241604317 1 Yes 11 2 No 9314 Stabilised 9325 1 2 1.9995710455764 0.020707882735053 1 Yes 4 2 No 9321 Sewage sludge 9325 1 2 1.9993565683646 0.02535915209208 1 Yes 6 2 No 9319 Biostimulant 9325 1 2 1.9998927613941 0.01035560746157 1 Yes 1 2 No 9324 Other specify 9325 1 2 1.9971045576408 0.053734238713846 1 Yes 27 2 No 9298 No organic fertilizer 9325 1 2 1.0087935656836 0.093365805859366 1 Yes 9243 2 No 82 Urea 9325 1 2 1.9994638069705 0.02315087476643 1 Yes 5 2 No 9320 Other nitrogenous fertilizer 9325 1 2 1.9990348525469 0.031053491844562 1 Yes 9 2 No 9316 Superphosphates (above 35% of p205) 9325 1 2 1.9996782841823 0.017934514478582 1 Yes 3 2 No 9322 Other phosphatic fertiliser 9325 1 2 1.9998927613941 0.01035560746157 1 Yes 1 2 No 9324 Potassium chloride (mop) 9325 1 2 1.9993565683646 0.02535915209208 1 Yes 6 2 No 9319 Both potassic fertiliser 9325 1 2 1.9993565683646 0.02535915209208 1 Yes 6 2 No 9319 NPK 9325 1 2 1.9952815013405 0.068532752035533 1 Yes 44 2 No 9281 Diammonium phosphate (dap) 9325 1 2 1.9997855227882 0.014644255156623 1 Yes 2 2 No 9323 Other specify 9325 1 2 1.9971045576408 0.053734238713846 1 Yes 27 2 No 9298 No inorganic fertiliser 9325 1 2 1.010509383378 0.10198064289882 1 Yes 9227 2 No 98 Insecticides 9325 1 2 1.9846648793566 0.12288846239597 1 Yes 143 2 No 9182 Herbicide (solid) 9325 1 2 1.9996782841823 0.017934514478582 1 Yes 3 2 No 9322 Herbicide (liquid) 9325 1 2 1.9954959785523 0.066964289883526 1 Yes 42 2 No 9283 Fungicide 9325 1 2 1.998927613941 0.032731497633055 1 Yes 10 2 No 9315 Rodenticide 9325 1 2 1.9997855227882 0.014644255156623 1 Yes 2 2 No 9323 Sex pheromones 9325 1 2 1.9994638069705 0.02315087476643 1 Yes 5 2 No 9320 No pesticides 9325 1 2 1.021018766756 0.14345447041904 1 Yes 9129 2 No 196 Did your household harvest any of the crop from the plot? 9325 1 2 1.4558713136729 0.49807555924511 1 Yes 5074 2 No 4251 Lost crop due to: too little rain/drought 4251 5074 1 2 1.9964714184898 0.059303945464116 1 Yes 15 2 No 4236 Lost crop due to: too much rain/flood 4251 5074 1 2 1.9908256880734 0.095353462363322 1 Yes 39 2 No 4212 Lost crop due to: rain came too early 4251 5074 1 2 1.999294283698 0.026559070018685 1 Yes 3 2 No 4248 Lost crop due to: rain came too late 4251 5074 1 2 1.9974123735592 0.050808836908904 1 Yes 11 2 No 4240 Lost crop due to: erratic/irregular rainfall 4251 5074 1 2 1.9990590449306 0.03066416256507 1 Yes 4 2 No 4247 Lost crop due to: hail 4251 5074 2 2 2 1 Yes 2 No 4251 Lost crop due to: frost 4251 5074 2 2 2 1 Yes 2 No 4251 Lost crop due to: too much wind 4251 5074 1 2 1.9997647612327 0.015337495471845 1 Yes 1 2 No 4250 Lost crop due to: pest/diseas 4251 5074 1 2 1.9962361797224 0.061241621516855 1 Yes 16 2 No 4235 Lost crop due to: fire 4251 5074 1 2 1.9997647612327 0.015337495471845 1 Yes 1 2 No 4250 Disagreement on land ownership 4251 5074 1 2 1.9995295224653 0.021687942136158 1 Yes 2 2 No 4249 Crop theft 4251 5074 1 2 1.9967066572571 0.057299816654258 1 Yes 14 2 No 4237 Unable to work field due to sickness 4251 5074 1 2 1.9927075982122 0.085093630845611 1 Yes 31 2 No 4220 No available labor 4251 5074 1 2 1.9774170783345 0.14858710221924 1 Yes 96 2 No 4155 Not harvest season 4251 5074 1 2 1.1479651846624 0.35510724108353 1 Yes 3622 2 No 629 Delayed/deferred harvest 4251 5074 1 2 1.9124911785462 0.2826124839752 1 Yes 372 2 No 3879 Other specify 4251 5074 1 2 1.9616560809221 0.1920477521441 1 Yes 163 2 No 4088 January 5074 4251 1 2 1.9929050059125 0.083940716002695 1 Yes 36 2 No 5038 January of which year 36 9289 2023 2024 2023.9166666667 0.28030595529069 February 5074 4251 1 2 1.9936933385889 0.079171477025894 1 Yes 32 2 No 5042 February of which year 32 9293 2024 2024 2024 March 5074 4251 1 2 1.991919590067 0.089536008758099 1 Yes 41 2 No 5033 March of which year 41 9284 2023 2024 2023.9756097561 0.15617376188861 April 5074 4251 1 2 1.9915254237288 0.091675592154043 1 Yes 43 2 No 5031 April of which year 43 9282 2023 2024 2023.9069767442 0.29390259873218 May 5074 4251 1 2 1.9907370910524 0.095806661957052 1 Yes 47 2 No 5027 May of which year 47 9278 2023 2024 2023.9787234043 0.14586499149789 June 5074 4251 1 2 1.9834450137958 0.12760927851651 1 Yes 84 2 No 4990 June of which year 84 9241 2023 2024 2023.9047619048 0.29530656397046 July 5074 4251 1 2 1.9702404414663 0.16994004500528 1 Yes 151 2 No 4923 July of which year 151 9174 2023 2024 2023.9470198675 0.22473924060857 August 5074 4251 1 2 1.9316121403232 0.25243517813236 1 Yes 347 2 No 4727 August of which year 347 8978 2023 2024 2023.9827089337 0.130541929595 September 5074 4251 1 2 1.8776113519905 0.32776644071383 1 Yes 621 2 No 4453 September of which year 621 8704 2023 2024 2023.9855072464 0.11960664843825 October 5074 4251 1 2 1.6763894363421 0.46789947013028 1 Yes 1642 2 No 3432 October of which year 1642 7683 2023 2024 2023.984774665 0.12248534995801 November 5074 4251 1 2 1.4637366968861 0.49873238728911 1 Yes 2721 2 No 2353 November of which year 2721 6604 2023 2024 2023.987137082 0.11270373360841 December 5074 4251 1 2 1.8579030350808 0.34918397403362 1 Yes 721 2 No 4353 December of which year 721 8604 2023 2024 2023.9902912621 0.098121515047468 Quantity harvested from plot (kg) 5045 4280 0.019799999892712 2600 725.39420284317 748.12695397711 2600 2,600 or more Has your household completed harvest of crop from plot? 5074 4251 1 2 1.423137564052 0.49410553718876 1 Yes 2927 2 No 2147 Is the area that has been harvested of crop on plot less than the area planted? 2927 6398 1 2 1.8308848650495 0.37491762968649 1 Yes 495 2 No 2432 Too little rain/drought 495 8830 1 2 1.9353535353535 0.2461497566421 1 Yes 32 2 No 463 Too much rain/flood 495 8830 1 2 1.9393939393939 0.23884768146865 1 Yes 30 2 No 465 Rain came too early 495 8830 1 2 1.9777777777778 0.14755466670735 1 Yes 11 2 No 484 Rain came too late 495 8830 1 2 1.9212121212121 0.2696799449853 1 Yes 39 2 No 456 Erratic/irregular rainfall 495 8830 1 2 1.9777777777778 0.14755466670735 1 Yes 11 2 No 484 Hail 495 8830 1 2 1.989898989899 0.10009605659334 1 Yes 5 2 No 490 Frost 495 8830 1 2 1.9919191919192 0.089619943916094 1 Yes 4 2 No 491 Too much wind 495 8830 1 2 1.989898989899 0.10009605659334 1 Yes 5 2 No 490 Pest/disease 495 8830 1 2 1.5515151515152 0.49784223399803 1 Yes 222 2 No 273 Fire 495 8830 2 2 2 1 Yes 2 No 495 Crop theft 495 8830 1 2 1.9676767676768 0.17703603491252 1 Yes 16 2 No 479 Unable to work due to sickness 495 8830 1 2 1.9373737373737 0.24253463319026 1 Yes 31 2 No 464 No available labor 495 8830 1 2 1.8949494949495 0.30692867248708 1 Yes 52 2 No 443 Other specify 495 8830 1 2 1.6121212121212 0.48775963236218 1 Yes 192 2 No 303 Approximately what percent of plot planted with crop was harvested? 495 8830 10 100 70.00404040404 25.812073561355 Approximately what percent of plot area with crop do you expect to harvest? 2147 7178 10 100 78.150391243311 27.115915705542 Portion of area planted with crop not harvested due to damages or shocks? 2147 7178 1 2 1.6306474149977 0.48274195488977 1 Yes 793 2 No 1354 Too little rain/drought 793 8532 1 2 1.9583858764187 0.1998317913916 1 Yes 33 2 No 760 Too much rain/flood 793 8532 1 2 1.9432534678436 0.23150366527675 1 Yes 45 2 No 748 Rain came too early 793 8532 1 2 1.9911727616646 0.093596823224629 1 Yes 7 2 No 786 Rain came too late 793 8532 1 2 1.9596469104666 0.19691016363841 1 Yes 32 2 No 761 Erratic/irregular rainfall 793 8532 1 2 1.9886506935687 0.10599371194732 1 Yes 9 2 No 784 Hail 793 8532 1 2 1.9987389659521 0.035511041211421 1 Yes 1 2 No 792 Frost 793 8532 1 2 1.9974779319042 0.050188481411821 1 Yes 2 2 No 791 Too much wind 793 8532 1 2 1.9936948297604 0.079204330345361 1 Yes 5 2 No 788 Pest/disease 793 8532 1 2 1.703656998739 0.45693228658612 1 Yes 235 2 No 558 Fire 793 8532 1 2 1.9962168978562 0.061429218255779 1 Yes 3 2 No 790 Crop theft 793 8532 1 2 1.9495586380832 0.21899202490936 1 Yes 40 2 No 753 Unable to work due to sickness 793 8532 1 2 1.968474148802 0.1748442803577 1 Yes 25 2 No 768 No available labor 793 8532 1 2 1.9016393442623 0.29798962097303 1 Yes 78 2 No 715 Animal damage 793 8532 1 2 1.2799495586381 0.44925752156728 1 Yes 571 2 No 222 Percent of the plot area planted with crop not harvested due to these shocks? 793 8532 0.10000000149012 100 15.791046658284 19.287979274231 Who in the household made or will make decisions concerning the use of the total 5074 4251 1 13 1.1314544737879 0.60962124106395 Who in the household made or will make decisions concerning the use of the total 2211 7114 2 11 2.1990049751244 0.84351071225842 Survey sampling weight 9325 5.8915384219859 662.73644714174 57.652753153864 42.299727109326 Household identifier 4523 Region 4449 74 1 6 3.1571139581929 1.0359084984165 1 South Eastern A 284 2 South Eastern B 195 3 North Central 3227 4 North Western 350 5 Greater Montserrado 67 6 South Central 326 Urban or Rural 4518 5 1 2 1.8804780876494 0.3244375481918 1 Urban 540 2 Rural 3978 Enumeration area code 4523 1 189 62.996020340482 50.521845390352 PARCEL ID 4523 1 7 1.131992040681 0.46224093876896 PLOT ID 4523 1 9 1.1342029626354 0.49220792615043 CROP CODE 4523 11 99 16.797037364581 17.317990637273 11 Rice/Paddy 3357 12 Cassava 592 13 Corn/Maize 44 14 Eddoes 15 18 Sweet Potatoes 8 20 Beans 6 42 Plantain 90 46 Bitterballs 82 50 Cucumber 12 51 Egg Plant 1 55 Okra 40 56 Pepper 147 65 Cocoa 67 Coffee 69 Palm Oil 17 70 Rubber 71 Sugar Cane 99 Other Crops 112 Sale 4523 1 2 1.7433119610878 0.43685407535482 1 Yes 1161 2 No 3362 Used for consumption by household 4523 1 2 1.1728940968384 0.37819750352767 1 Yes 3741 2 No 782 Given out as gifts 4523 1 2 1.8388237895202 0.36773405823393 1 Yes 729 2 No 3794 Exchanged for land, labor, or inputs 4523 1 2 1.9484855184612 0.22106909518912 1 Yes 233 2 No 4290 Animal feed 4523 1 2 1.9971258014592 0.05354037075032 1 Yes 13 2 No 4510 Used as seeds 4523 1 2 1.7992482865355 0.40060697097721 1 Yes 908 2 No 3615 Processed 4523 1 2 1.8980764978996 0.30258113621305 1 Yes 461 2 No 4062 Unprocessed in storage 4523 1 2 1.271943400398 0.44501007982226 1 Yes 3293 2 No 1230 Did your holding sell any unprocessed crop since the harvest? 1161 3362 1 2 1.2988802756245 0.45796452237828 1 Yes 814 2 No 347 Quantity of harvested crop sold in unprocessed form (kg) 669 3854 0.2309999987483 951 217.54669960531 251.33616493543 951 951 or more ENUMERATOR: ASK RESPONDENT IF S/HE PREFERS GIVING THE TOTAL VALUE OF EARNINGS OR 814 3709 1 2 1.7457002457002 0.43573459606063 1 Total value 207 2 Unit Price 607 What was the total value of all unprocessed crop sales? 207 4316 51950 8841.154589372 13461.473486309 51950 51,950 or more 11 What was the average unit price of the crop sold in this condition and unit? 607 3916 3 240000 3027.3245469522 13338.657461665 Who in the household decides use of earnings from the sale of unprocessed crop? 4523 Who in your household decided what to do with earnings from the sale of unproces 814 3709 1 9 1.1400491400491 0.53192587738678 Who in your household decided what to do with earnings from the sale of unproces 358 4165 2 9 2.159217877095 0.71385759355854 Quantity of unprocessed crop harvest that was consumed (kg) 2999 1524 0.026197727347153 918 217.76592137586 241.90562717001 918 918 or more Quantity of unprocessed crop harvest given as gift (kg) 626 3897 0.085665334094803 399 109.02550367324 106.86822596655 399 399 or more Quantity of unprocessed crop harvest used as exchange (kg) 216 4307 0.02750761371451 330 108.02230539922 87.782232112413 330 330 or more Quantity of unprocessed crop harvest used as animal feed (kg) 6 4517 6.7691013213807 85 31.617437328883 28.565413615834 85 85 or more Quantity of unprocessed crop harvest used as seeds (kg) 652 3871 0.24619313197143 694 172.16649682865 182.15299911434 694 694 or more Crop losses during or after harvesting, post-harvest, transport or storage? 4523 1 2 1.6681406146363 0.47093286893478 1 Yes 1501 2 No 3022 Quantity lost during harvest (kg) 1097 3426 0.2 153 39.230453710269 39.829300691269 153 153 or more Spillage 1435 3088 1 2 1.5289198606272 0.49933695631727 1 Yes 676 2 No 759 Pilferage 1435 3088 1 2 1.9693379790941 0.17246039522741 1 Yes 44 2 No 1391 Rodent/birds 1435 3088 1 2 1.598606271777 0.490351262068 1 Yes 576 2 No 859 Other pests 1435 3088 1 2 1.7602787456446 0.42706213843526 1 Yes 344 2 No 1091 Delayed harvest 1435 3088 1 2 1.8641114982578 0.3427895880069 1 Yes 195 2 No 1240 Other causes 1435 3088 1 2 1.8724738675958 0.33367769984075 1 Yes 183 2 No 1252 Quantity lost during post-harvest and transport (kg) 965 3558 0.21 115 30.10783698624 30.661220699556 115 115 or more Spillage 1249 3274 1 2 1.5204163330665 0.49978311282117 1 Yes 599 2 No 650 Pilferage 1249 3274 1 2 1.9775820656525 0.14809770747771 1 Yes 28 2 No 1221 Rodents/ birds 1249 3274 1 2 1.7213771016813 0.44850109283761 1 Yes 348 2 No 901 Moulds 1249 3274 1 2 1.986389111289 0.11591544391388 1 Yes 17 2 No 1232 Other pests 1249 3274 1 2 1.7502001601281 0.43307047928949 1 Yes 312 2 No 937 Wet grain 1249 3274 1 2 1.9247397918335 0.26391641734919 1 Yes 94 2 No 1155 Improper use of the thresher 1249 3274 1 2 1.951160928743 0.21561780767143 1 Yes 61 2 No 1188 Improper use of the cleaning machine 1249 3274 1 2 1.9807846277022 0.13733624008406 1 Yes 24 2 No 1225 Improper drying facilities 1249 3274 1 2 1.9151321056845 0.2787966403469 1 Yes 106 2 No 1143 Climatic condition 1249 3274 1 2 1.9783827061649 0.14548860280736 1 Yes 27 2 No 1222 Other causes 1249 3274 1 2 1.9215372297838 0.2690061369147 1 Yes 98 2 No 1151 Quantity lost during storage (kg) 650 3873 0.098999999463558 115 27.559030322834 30.489039207291 115 115 or more Spillage 809 3714 1 2 1.6600741656366 0.47397674509272 1 Yes 275 2 No 534 Pilferage 809 3714 1 2 1.9666254635352 0.17972368614266 1 Yes 27 2 No 782 Rodent/birds 809 3714 1 2 1.6081582200247 0.48846363980412 1 Yes 317 2 No 492 Other pests 809 3714 1 2 1.6650185414091 0.47227596281394 1 Yes 271 2 No 538 Delayed harvest 809 3714 1 2 1.9171817058096 0.27577786989948 1 Yes 67 2 No 742 Other causes 809 3714 1 2 1.8825710754017 0.32212984775677 1 Yes 95 2 No 714 Quantity of processed crop harvest (kg) 355 4168 0.29002649074721 1139 260.44461855544 320.14323657028 1139 1,139 or more Do you have any of the crop harvest in unprocessed form in storage now? 4523 1 2 1.271943400398 0.44501007982226 1 Yes 3293 2 No 1230 Quantity of crop harvest stored in unprocessed form (kg) 2872 1651 0.13489912676905 2294 703.27904788412 655.65309655744 2294 2,294 or more What percentage of the stored crop harvest is for consuming? 3148 1375 100 54.17541295964 31.551461419822 What percentage of the stored crop harvest is for selling? 3148 1375 100 3.4031130876747 10.683675014627 What percentage of the stored crop harvest is for planting as seed? 3148 1375 100 18.080050825921 18.509376587796 What percentage of the stored crop harvest is for rendering payment in-kind? 3148 1375 40 1.2172808132147 3.8305123532485 What percentage of the stored crop harvest is for animal feeding? 3148 1375 80 0.079415501905972 1.5190921523847 What percentage of the stored crop harvest is for any other reason? 3148 1375 95 3.0865946632787 10.826931759139 Quantity of crop harvest used for other reasons (kg) 717 3806 0.0072312108726471 424 83.64210012416 110.60654996078 424 424 or more Survey sampling weight 4523 5.8915384219859 662.73644714174 59.301579102131 44.303497391841 Household identifier 2711 Region 2650 61 1 6 3.3739622641509 1.0957213530769 1 South Eastern A 91 2 South Eastern B 201 3 North Central 1553 4 North Western 473 5 Greater Montserrado 95 6 South Central 237 Urban or Rural 2702 9 1 2 1.820873427091 0.38352924656894 1 Urban 484 2 Rural 2218 Enumeration area code 2711 1 178 62.393581704168 49.123442102079 PARCEL ID 2711 1 7 1.1128734784212 0.41443542515663 PLOT ID 2711 1 9 1.1877535964589 0.56836446241925 CROP CODE 2711 46 99 60.447436370343 18.000535659135 11 Rice/Paddy 12 Cassava 13 Corn/Maize 14 Eddoes 18 Sweet Potatoes 20 Beans 42 Plantain 46 Bitterballs 618 50 Cucumber 166 51 Egg Plant 75 55 Okra 430 56 Pepper 956 65 Cocoa 67 Coffee 69 Palm Oil 70 Rubber 71 Sugar Cane 99 Other Crops 466 Solid manure 2711 1 2 1.9623755071929 0.19032144272846 1 Yes 102 2 No 2609 Liquid manure/slurry 2711 1 2 1.9834009590557 0.12778707376132 1 Yes 45 2 No 2666 Vegetative material & compost 2711 1 2 1.986351899668 0.11604653012537 1 Yes 37 2 No 2674 Stabilised 2711 1 2 1.9996311324235 0.019205925558015 1 Yes 1 2 No 2710 Sewage sludge 2711 1 2 1.9992622648469 0.027156268633343 1 Yes 2 2 No 2709 Biostimulant 2711 2 2 2 1 Yes 2 No 2711 Other specify 2711 1 2 1.9970490593877 0.05425235715151 1 Yes 8 2 No 2703 No organic fertilizer 2711 1 2 1.064920693471 0.24643132464684 1 Yes 2535 2 No 176 Urea 2711 1 2 1.9704905938768 0.16926065349907 1 Yes 80 2 No 2631 Other nitrogenous fertilizer 2711 1 2 1.9974179269642 0.050757819780909 1 Yes 7 2 No 2704 Superphosphates (above 35% of p205) 2711 1 2 1.9992622648469 0.027156268633343 1 Yes 2 2 No 2709 Other phosphatic fertiliser 2711 1 2 1.9996311324235 0.019205925558015 1 Yes 1 2 No 2710 Potassium chloride (mop) 2711 2 2 2 1 Yes 2 No 2711 Both potassic fertiliser 2711 2 2 2 1 Yes 2 No 2711 NPK 2711 1 2 1.8775359645887 0.32788145878098 1 Yes 332 2 No 2379 Diammonium phosphate (dap) 2711 1 2 1.9996311324235 0.019205925558015 1 Yes 1 2 No 2710 Other specify 2711 1 2 1.9985245296938 0.038390584056479 1 Yes 4 2 No 2707 No inorganic fertiliser 2711 1 2 1.138694208779 0.34569091066908 1 Yes 2335 2 No 376 Insecticides 2711 1 2 1.9302840280339 0.25471471727206 1 Yes 189 2 No 2522 Herbicide (solid) 2711 1 2 1.9992622648469 0.027156268633343 1 Yes 2 2 No 2709 Herbicide (liquid) 2711 1 2 1.9955735890815 0.066396113868903 1 Yes 12 2 No 2699 Fungicide 2711 1 2 1.9730726669126 0.16190095907014 1 Yes 73 2 No 2638 Rodenticide 2711 1 2 1.9977867945408 0.047001298432424 1 Yes 6 2 No 2705 Sex pheromones 2711 1 2 1.9992622648469 0.027156268633343 1 Yes 2 2 No 2709 No pesticides 2711 1 2 1.078568793803 0.26911420017902 1 Yes 2498 2 No 213 How many plantings of crop on plot did your household perform? 2711 1 9999999 99599.897085946 993169.65550299 January 2711 1 2 1.9944669863519 0.074191844657994 1 Yes 15 2 No 2696 January of which year 15 2696 2023 2024 2023.4666666667 0.51639777949432 February 2711 1 2 1.9940981187754 0.076610795488557 1 Yes 16 2 No 2695 February of which year 16 2695 2023 2024 2023.8125 0.40311288741493 March 2711 1 2 1.9479896717079 0.22208882876851 1 Yes 141 2 No 2570 March of which year 141 2570 2023 2024 2023.9716312057 0.16661600040416 April 2711 1 2 1.8594614533383 0.34760902546355 1 Yes 381 2 No 2330 April of which year 381 2330 2023 2024 2023.9737532808 0.16007837560986 May 2711 1 2 1.6643305053486 0.47231109575015 1 Yes 910 2 No 1801 May of which year 910 1801 2023 2024 2023.9912087912 0.093399730800515 June 2711 1 2 1.7510143858355 0.43250523552873 1 Yes 675 2 No 2036 June of which year 675 2036 2023 2024 2023.9881481481 0.10829940628809 July 2711 1 2 1.9395057174474 0.23844432590023 1 Yes 164 2 No 2547 July of which year 164 2547 2023 2024 2023.9512195122 0.21606855446926 August 2711 1 2 1.9671707856879 0.17822225844297 1 Yes 89 2 No 2622 August of which year 89 2622 2023 2024 2023.9325842697 0.25216124030743 September 2711 1 2 1.9568424935448 0.20324904446405 1 Yes 117 2 No 2594 September of which year 117 2594 2023 2024 2023.9401709402 0.23818995211003 October 2711 1 2 1.944669863519 0.22866569446634 1 Yes 150 2 No 2561 October of which year 150 2561 2023 2024 2023.8933333333 0.30972312092111 November 2711 1 2 1.9317594983401 0.25220467526628 1 Yes 185 2 No 2526 November of which year 185 2526 2023 2024 2023.8918918919 0.31135955237926 December 2711 1 2 1.9620066396164 0.19121545958792 1 Yes 103 2 No 2608 December of which year 103 2608 2023 2024 2023.9126213592 0.28377000202473 Did your household harvest any of the crop planted on this plot? 2711 1 2 1.3139063076356 0.46416442094228 1 Yes 1860 2 No 851 Lost crop due to: too little rain/drought 851 1860 1 2 1.9811985898942 0.13590298199692 1 Yes 16 2 No 835 Lost crop due to: too much rain/flood 851 1860 1 2 1.9776733254994 0.14783055954265 1 Yes 19 2 No 832 Lost crop due to: rain came too early 851 1860 2 2 2 1 Yes 2 No 851 Lost crop due to: rain came too late 851 1860 1 2 1.9870740305523 0.11302167588083 1 Yes 11 2 No 840 Lost crop due to: erratic/irregular rainfall 851 1860 1 2 1.9964747356052 0.059304044171347 1 Yes 3 2 No 848 Lost crop due to: hail 851 1860 2 2 2 1 Yes 2 No 851 Lost crop due to: frost 851 1860 2 2 2 1 Yes 2 No 851 Lost crop due to: too much wind 851 1860 1 2 1.9976498237368 0.048450091330862 1 Yes 2 2 No 849 Lost crop due to: pest/disease 851 1860 1 2 1.9694477085781 0.17220248144359 1 Yes 26 2 No 825 Lost crop due to: fire 851 1860 2 2 2 1 Yes 2 No 851 Disagreement on land ownership 851 1860 2 2 2 1 Yes 2 No 851 Crop theft 851 1860 1 2 1.9929494712103 0.083720099682791 1 Yes 6 2 No 845 Unable to work field due to sickness 851 1860 1 2 1.9894242068155 0.10235358473184 1 Yes 9 2 No 842 No available labor 851 1860 1 2 1.9811985898942 0.13590298199692 1 Yes 16 2 No 835 Not harvest season 851 1860 1 2 1.1833137485311 0.38715106525541 1 Yes 695 2 No 156 Delayed/deferred harvest 851 1860 1 2 1.9271445358402 0.26005194327761 1 Yes 62 2 No 789 Other specify 851 1860 1 2 1.9870740305523 0.11302167588083 1 Yes 11 2 No 840 January 1860 851 1 2 1.991935483871 0.089463863194469 1 Yes 15 2 No 1845 January of which year 15 2696 2024 2024 2024 February 1860 851 1 2 1.997311827957 0.051791774618369 1 Yes 5 2 No 1855 February of which year 5 2706 2023 2024 2023.8 0.44721359549996 March 1860 851 1 2 1.9935483870968 0.080083941454866 1 Yes 12 2 No 1848 March of which year 12 2699 2023 2024 2023.5833333333 0.51492865054444 April 1860 851 1 2 1.9935483870968 0.080083941454866 1 Yes 12 2 No 1848 April of which year 12 2699 2023 2024 2023.4166666667 0.51492865054444 May 1860 851 1 2 1.9774193548387 0.14860226111399 1 Yes 42 2 No 1818 May of which year 42 2669 2023 2024 2023.8333333333 0.37719547023291 June 1860 851 1 2 1.9704301075269 0.16944305806622 1 Yes 55 2 No 1805 June of which year 55 2656 2023 2024 2023.9454545455 0.22918388365078 July 1860 851 1 2 1.9365591397849 0.24381976704713 1 Yes 118 2 No 1742 July of which year 118 2593 2023 2024 2023.9745762712 0.15807952162955 August 1860 851 1 2 1.8596774193548 0.34741480234813 1 Yes 261 2 No 1599 August of which year 261 2450 2023 2024 2023.9885057471 0.10679810646152 September 1860 851 1 2 1.8129032258065 0.39009407189514 1 Yes 348 2 No 1512 September of which year 348 2363 2023 2024 2023.9798850575 0.14059563906539 October 1860 851 1 2 1.6677419354839 0.47114964526686 1 Yes 618 2 No 1242 October of which year 618 2093 2023 2024 2023.9951456311 0.069560287078318 November 1860 851 1 2 1.544623655914 0.49813867455265 1 Yes 847 2 No 1013 November of which year 847 1864 2023 2024 2023.9952774498 0.068598859649866 December 1860 851 1 2 1.8661290322581 0.34060520214616 1 Yes 249 2 No 1611 December of which year 249 2462 2023 2024 2023.9156626506 0.27845277921512 Is the plot where crop was planted divided into beds? 1860 851 1 2 1.9564516129032 0.2041429171736 1 Yes 81 2 No 1779 How many beds of crop on plot did your household cultivate in each planting? 81 2630 1 250 14.098765432099 36.077557060544 What is the average size of a bed? 81 2630 0.03 40 3.8712345679012 5.822816196377 Quantity of crops harvested from plot (kg) 1714 997 0.0052083333333333 250 52.197676427612 66.343263203606 250 250 or more Has your holding completed harvest of crop from plot? 1860 851 1 2 1.4913978494624 0.50006044045206 1 Yes 946 2 No 914 Is the area that has been harvested of crop on plot less than the area planted? 946 1765 1 2 1.8044397463002 0.39684116885332 1 Yes 185 2 No 761 Too little rain/drought 185 2526 1 2 1.8054054054054 0.39696261593365 1 Yes 36 2 No 149 Too much rain/flood 185 2526 1 2 1.9135135135135 0.28184385339551 1 Yes 16 2 No 169 Rain came too early 185 2526 1 2 1.9513513513514 0.21571622565711 1 Yes 9 2 No 176 Rain came too late 185 2526 1 2 1.8594594594595 0.3484901123445 1 Yes 26 2 No 159 Erratic/irregular rainfall 185 2526 1 2 1.9783783783784 0.14583927859853 1 Yes 4 2 No 181 Hail 185 2526 2 2 2 1 Yes 2 No 185 Frost 185 2526 1 2 1.9945945945946 0.073521462209381 1 Yes 1 2 No 184 Too much wind 185 2526 1 2 1.9891891891892 0.10369212315422 1 Yes 2 2 No 183 Pest/disease 185 2526 1 2 1.4378378378378 0.49746714516342 1 Yes 104 2 No 81 Fire 185 2526 2 2 2 1 Yes 2 No 185 Crop theft 185 2526 1 2 1.9459459459459 0.22673796717341 1 Yes 10 2 No 175 Unable to work due to sickness 185 2526 1 2 1.9945945945946 0.073521462209381 1 Yes 1 2 No 184 No available labor 185 2526 1 2 1.9513513513514 0.21571622565711 1 Yes 9 2 No 176 Approximately what percent of plot planted with crop was harvested? 185 2526 5 100 60.637837837838 30.356463312858 Approximately what percent of plot area planted with crop do you expect harvest? 914 1797 5 100 73.375492341148 31.130629114474 Portion of area planted with crop not harvested due to damages or shocks? 914 1797 1 2 1.6072210065646 0.48863574007688 1 Yes 359 2 No 555 Too little rain/drought 359 2352 1 2 1.7827298050139 0.41296355294927 1 Yes 78 2 No 281 Too much rain/flood 359 2352 1 2 1.9526462395543 0.21269083493125 1 Yes 17 2 No 342 Rain came too early 359 2352 1 2 1.9944289693593 0.074535019303453 1 Yes 2 2 No 357 Rain came too late 359 2352 1 2 1.908077994429 0.28931905131351 1 Yes 33 2 No 326 Erratic/irregular rainfall 359 2352 1 2 1.9721448467967 0.1647873902601 1 Yes 10 2 No 349 Hail 359 2352 1 2 1.9972144846797 0.052777981396926 1 Yes 1 2 No 358 Frost 359 2352 1 2 1.9972144846797 0.052777981396926 1 Yes 1 2 No 358 Too much wind 359 2352 1 2 1.983286908078 0.12837316250085 1 Yes 6 2 No 353 Pest/disease 359 2352 1 2 1.3649025069638 0.48207469340511 1 Yes 228 2 No 131 Fire 359 2352 2 2 2 1 Yes 2 No 359 Crop theft 359 2352 1 2 1.8802228412256 0.32515394795063 1 Yes 43 2 No 316 Unable to work due to sickness 359 2352 1 2 1.9526462395543 0.21269083493125 1 Yes 17 2 No 342 No available labor 359 2352 1 2 1.9442896935933 0.22968154947062 1 Yes 20 2 No 339 Percent of the plot area planted with crop wasn't harvested due to these shocks? 359 2352 0.10000000149012 95 19.986350974935 21.793657982711 Survey sampling weight 2711 8.0809132186791 662.73644714174 69.782931779576 59.213744015258 Household identifier 9106 Region 8986 120 1 6 3.1288671266414 0.97929436779932 1 South Eastern A 567 2 South Eastern B 359 3 North Central 6629 4 North Western 735 5 Greater Montserrado 172 6 South Central 524 Urban or Rural 9098 8 1 2 1.8497471971862 0.3573386812475 1 Urban 1367 2 Rural 7731 Enumeration area code 9106 1 189 61.191082802548 48.828147367986 PARCEL ID 9106 1 14 1.3664616736218 0.82666419074075 PLOT ID 9106 1 9 1.2546672523611 0.66648212507126 Cropping activities deciced by single member or jointly by multiple HH members? 9106 1 3 1.5584230177905 0.49748615223724 1 Single Member 4025 2 Multiple Members 5077 3 Only Non-HH members 4 Who in the HH makes decisions on the timing of cropping activities on this plot? 4025 5081 1 13 1.1336645962733 0.62065356417322 s2q2cpid 5077 4029 1 11 1.0620445144771 0.45208909566759 s2q2cpid 4553 4553 2 14 2.1888864484955 0.85370556572323 s2q2cpid 524 8582 3 9 3.4980916030534 1.1053477616539 s2q2cpid 136 8970 4 8 4.5147058823529 0.93480276483883 s2q2cpid 42 9064 5 7 5.2142857142857 0.47037682277159 s2q2cpid 17 9089 6 10 7 1.3693063937629 s2q2cpid 6 9100 7 8 7.1666666666667 0.40824829046386 s2q2cpid 6 9100 8 13 11.5 2.3452078799117 What is the cropping activity on is this plot? 9106 1 3 1.9961563804085 0.29397491241333 1 A KITCHEN GARDEN/BACKYARD 411 2 A CONVENTIONAL PLOT CULTIVATED 8319 3 A CONVENTIONAL PLOT TEMPORATILY LEFT FALLOW 376 Area of plot 9106 1 7 2.0893916099275 1.1786698088709 1 <0.5ha 3784 2 0.5-1ha 2302 3 1-2ha 1852 4 2-5ha 910 5 5-10ha 136 6 10-50ha 92 7 >50ha 30 Is this plot Upland or lowland? 8730 376 1 2 1.1830469644903 0.38672717097565 1 Upland 7132 2 Lowland 1598 Is this plot in pure stand or mixed? 8730 376 1 2 1.2899198167239 0.45375092371892 1 Pure Stand 6199 2 Mixed Stand 2531 How many crops do you have planted on this plot? 8730 376 1 10 1.5988545246277 1.213453650194 How did you prepare land for planting on the plot? 8730 376 1 7 5.8226804123711 2.3170486716346 1 NO-TILLAGE 1489 2 MULCH TILLAGE 147 3 STRIP OR ZONAL TILLAGE 37 4 RIDGE TILL (INCLUDING NO-TILL OR RIDGES) 66 5 REDUCED OR MINIMUM TILLAGE 118 6 MECHANISED SYSTEM 27 7 TRADITIONAL TILLAGE 6846 8 -----------CONVENTIONAL TILLAGE SYSTEMS----------- What was the most recent year in which this plot was left fallow? 8730 376 2024 1273.4791523482 975.02524201051 For how many years was the plot left fallow? 5504 3602 1 97 5.1102834302326 6.5486348903773 Survey sampling weight 9106 5.8915384219859 662.73644714174 58.98048470819 46.478455334879 Household identifier 1922 Region 1896 26 1 6 3.043776371308 0.64295104643888 1 South Eastern A 61 2 South Eastern B 42 3 North Central 1634 4 North Western 110 5 Greater Montserrado 10 6 South Central 39 Urban or Rural 1920 2 1 2 1.859375 0.34772486922784 1 Urban 270 2 Rural 1650 Enumeration area code 1922 1 189 57.107180020812 44.540922353959 PARCEL ID 1922 1 14 2.0067637877211 1.232247615423 PLOT ID 1922 1 6 1.2981269510926 0.7099256352694 CROP CODE 1922 65 99 69.510926118626 7.5385619979636 11 Rice/Paddy 12 Cassava 13 Corn/Maize 14 Eddoes 18 Sweet Potatoes 20 Beans 42 Plantain 46 Bitterballs 50 Cucumber 51 Egg Plant 55 Okra 56 Pepper 65 Cocoa 714 67 Coffee 138 69 Palm Oil 305 70 Rubber 412 71 Sugar Cane 246 99 Other Crops 107 Solid manure 1922 1 2 1.993756503642 0.07878924385517 1 Yes 12 2 No 1910 Liquid manure/slurry 1922 1 2 1.9979188345473 0.045584156506497 1 Yes 4 2 No 1918 Vegetative material & compost 1922 1 2 1.9984391259105 0.039487327402191 1 Yes 3 2 No 1919 Stabilised 1922 2 2 2 1 Yes 2 No 1922 Sewage sludge 1922 1 2 1.9989594172737 0.032249667258531 1 Yes 2 2 No 1920 Biostimulant 1922 2 2 2 1 Yes 2 No 1922 Other specify 1922 1 2 1.9932362122789 0.081984974562071 1 Yes 13 2 No 1909 No organic fertilizer 1922 1 2 1.0171696149844 0.12993692200011 1 Yes 1889 2 No 33 Urea 1922 1 2 1.9916753381894 0.09088266746592 1 Yes 16 2 No 1906 Other nitrogenous fertilizer 1922 1 2 1.9994797086368 0.022809896167308 1 Yes 1 2 No 1921 Superphosphates (above 35% of p205) 1922 2 2 2 1 Yes 2 No 1922 Other phosphatic fertiliser 1922 2 2 2 1 Yes 2 No 1922 Potassium chloride (mop) 1922 1 2 1.9994797086368 0.022809896167308 1 Yes 1 2 No 1921 Both potassic fertiliser 1922 1 2 1.9973985431842 0.050951348710403 1 Yes 5 2 No 1917 NPK 1922 1 2 1.980749219563 0.13744095532951 1 Yes 37 2 No 1885 Diammonium phosphate (dap) 1922 2 2 2 1 Yes 2 No 1922 Other specify 1922 1 2 1.9927159209157 0.085057542126356 1 Yes 14 2 No 1908 No inorganic fertiliser 1922 1 2 1.0348595213319 0.18347165741279 1 Yes 1855 2 No 67 Insecticides 1922 1 2 1.9739854318418 0.15921997458931 1 Yes 50 2 No 1872 Herbicide (solid) 1922 1 2 1.9963579604579 0.060254992268586 1 Yes 7 2 No 1915 Herbicide (liquid) 1922 1 2 1.9947970863684 0.071962057153745 1 Yes 10 2 No 1912 Fungicide 1922 1 2 1.9953173777315 0.068287052206128 1 Yes 9 2 No 1913 Rodenticide 1922 1 2 1.9973985431842 0.050951348710403 1 Yes 5 2 No 1917 Sex pheromones 1922 1 2 1.9984391259105 0.039487327402191 1 Yes 3 2 No 1919 No pesticides 1922 1 2 1.0348595213319 0.18347165741279 1 Yes 1855 2 No 67 How many plants on this plot were in production? 1922 9999999 437847.21383975 2044730.5116757 Did your household harvest crop on this plot? 1922 1 2 1.554110301769 0.497192811319 1 Yes 857 2 No 1065 Permanent destination 857 1065 1 2 1.0560093348891 0.23007402284379 1 Yes 809 2 No 48 January 857 1065 1 2 1.9218203033839 0.26861091342607 1 Yes 67 2 No 790 January of which year 67 1855 2023 2024 2023.8955223881 0.30818768180843 February 857 1065 1 2 1.9358226371062 0.24521172674968 1 Yes 55 2 No 802 February of which year 55 1867 2023 2024 2023.9454545455 0.22918388365078 March 857 1065 1 2 1.9089848308051 0.28779863969904 1 Yes 78 2 No 779 March of which year 78 1844 2023 2024 2023.8974358974 0.30535240827623 April 857 1065 1 2 1.9148191365228 0.27931365514619 1 Yes 73 2 No 784 April of which year 73 1849 2023 2024 2023.9452054795 0.22915369411187 May 857 1065 1 2 1.901983663944 0.29751036220722 1 Yes 84 2 No 773 May of which year 84 1838 2023 2024 2023.9404761905 0.23802351185831 June 857 1065 1 2 1.8809801633606 0.32400093865745 1 Yes 102 2 No 755 June of which year 102 1820 2023 2024 2023.9607843137 0.19506630644455 July 857 1065 1 2 1.8728121353559 0.33337786010707 1 Yes 109 2 No 748 July of which year 109 1813 2023 2024 2023.9816513761 0.1348285177101 August 857 1065 1 2 1.828471411902 0.37719032843691 1 Yes 147 2 No 710 August of which year 147 1775 2023 2024 2023.9455782313 0.22762360559539 September 857 1065 1 2 1.7444574095683 0.4364204607594 1 Yes 219 2 No 638 September of which year 219 1703 2023 2024 2023.9817351598 0.13421434040728 October 857 1065 1 2 1.6557759626604 0.47539200374561 1 Yes 295 2 No 562 October of which year 295 1627 2023 2024 2023.9898305085 0.10050030502921 November 857 1065 1 2 1.5682613768961 0.49560770476544 1 Yes 370 2 No 487 November of which year 370 1552 2023 2024 2023.9810810811 0.13642321730941 December 857 1065 1 2 1.8424737456243 0.36450894451302 1 Yes 135 2 No 722 December of which year 135 1787 2023 2024 2023.9555555556 0.20684793847593 In the last harvest period, were there any losses of crop before the harvest? 857 1065 1 2 1.7106184364061 0.45374013239278 1 Yes 248 2 No 609 Why were there losses before the harvest? 1922 Percent of the area planted with crop on plot not harvested due to these shocks? 248 1674 0.10000000149012 100 20.352822580795 23.728741862463 Quantity of permanent crop harvested from plot (kg) 824 1098 4952 852.63404571027 1316.8098493566 4952 4,952 or more Who in HH makes decisions on the use of the total harvested crop from plot? 1922 Who in the household made or will make decisions concerning the use of the total 857 1065 1 8 1.1295215869312 0.66331007945587 Who in the household made or will make decisions concerning the use of the total 532 1390 2 14 2.1766917293233 0.88019747981459 Survey sampling weight 1922 5.8915384219859 348.67128957259 50.439356032034 34.33733261258 Household identifier 782 Region 767 15 1 6 3.0573663624511 0.53037732276816 1 South Eastern A 12 2 South Eastern B 5 3 North Central 709 4 North Western 23 5 Greater Montserrado 4 6 South Central 14 Urban or Rural 782 1 2 1.8657289002558 0.34116155906165 1 Urban 105 2 Rural 677 Enumeration area code 782 1 189 54.622762148338 41.485534477091 PARCEL ID 782 1 12 1.9552429667519 1.0477911061348 PLOT ID 782 1 6 1.2647058823529 0.66193937925549 CROP CODE 782 65 99 68.852941176471 5.9123006213098 11 Rice/Paddy 12 Cassava 13 Corn/Maize 14 Eddoes 18 Sweet Potatoes 20 Beans 42 Plantain 46 Bitterballs 50 Cucumber 51 Egg Plant 55 Okra 56 Pepper 65 Cocoa 297 67 Coffee 55 69 Palm Oil 84 70 Rubber 181 71 Sugar Cane 141 99 Other Crops 24 Sale 782 1 2 1.1969309462916 0.3979342211889 1 Yes 628 2 No 154 Used for consumption by household 782 1 2 1.9130434782609 0.28195166838606 1 Yes 68 2 No 714 Given out as gifts 782 1 2 1.9808184143223 0.13725065257517 1 Yes 15 2 No 767 Exchanged for land, labor, or inputs 782 1 2 1.9923273657289 0.087312734999997 1 Yes 6 2 No 776 Animal feed 782 2 2 2 1 Yes 2 No 782 Used for seeds for upcoming season 782 1 2 1.9833759590793 0.12793988399062 1 Yes 13 2 No 769 Processed 782 1 2 1.8874680306905 0.31622207042565 1 Yes 88 2 No 694 Unprocessed in storage 782 1 2 1.8964194373402 0.30491067188462 1 Yes 81 2 No 701 Did your holding sell any unprocessed crop? 628 154 1 2 1.1894904458599 0.39221010575163 1 Yes 509 2 No 119 Quantity of harvested crop sold in unprocessed form (kg) 423 359 1.74825 2557 476.92056805413 710.47418908647 2557 2,557 or more ENUMERATOR: RESPONDENT GIVING THE TOTAL VALUE OF EARNINGS OR THE UNIT PRICE 509 273 1 2 1.6011787819253 0.49013756049738 1 Total value 203 2 Unit Price 306 What was the total value of all unprocessed crop sales? 203 579 35 448750 70710.563251232 114262.7097723 448750 448,750 or more What was the average unit price of the crop sold in this condition? 306 476 15 272000 10964.336601307 27941.551814653 Who in your household decided what to do with earnings from the sale of unproces 509 273 1 22 1.1591355599214 1.4059141249959 Who in your household decided what to do with earnings from the sale of unproces 345 437 2 9 2.1130434782609 0.60662836873601 Who in your household decided what to do with earnings from the sale of unproces 24 758 3 7 3.75 1.2597446256044 Who in your household decided what to do with earnings from the sale of unproces 1 781 6 6 6 <NA> Quantity of unprocessed crop harvest that was consumed (kg) 37 745 0.68156310580553 2154 531.39033540933 646.11683903342 2154 2,154 or more Quantity of unprocessed crop harvest given as gift (kg) 2 780 32.044491525424 1362 697.02224576271 940.42055871878 1362 1,362 or more Quantity of unprocessed crop harvest used as exchange (kg) 1 781 45.692521109716 45.692521109716 45.692521109716 <NA> 46 46 or more Quantity of unprocessed crop harvest used as animal feed (kg) 782 <NA> <NA> <NA> <NA> Crop losses during or after harvesting, post-harvest, transport or storage? 782 1 2 1.7941176470588 0.40460369503243 1 Yes 161 2 No 621 Percentage if quantity is unknown 782 <NA> <NA> <NA> <NA> Quantity lost during harvest (kg) 104 678 1 539 59.364423187879 129.56338964713 539 539 or more Spillage 151 631 1 2 1.6423841059603 0.4808932086708 1 Yes 54 2 No 97 Pilferage 151 631 1 2 1.9006622516556 0.3001103549789 1 Yes 15 2 No 136 Rodent/birds 151 631 1 2 1.8145695364238 0.38993971345895 1 Yes 28 2 No 123 Other pests 151 631 1 2 1.635761589404 0.48281733894037 1 Yes 55 2 No 96 Delayed harvest 151 631 1 2 1.7814569536424 0.41463300616488 1 Yes 33 2 No 118 Other causes 151 631 1 2 1.8543046357616 0.35397459406719 1 Yes 22 2 No 129 Percentage if quantity is unknown 782 <NA> <NA> <NA> <NA> Quantity lost during post-harvest and transport (kg) 80 702 0.2 291 45.608939737231 80.517702457781 291 291 or more Spillage 121 661 1 2 1.6776859504132 0.46930579996874 1 Yes 39 2 No 82 Pilferage 121 661 1 2 1.9338842975207 0.24951744060896 1 Yes 8 2 No 113 Rodents/ birds 121 661 1 2 1.8595041322314 0.34894567686024 1 Yes 17 2 No 104 Moulds 121 661 1 2 1.9752066115702 0.15614149124834 1 Yes 3 2 No 118 Other pests 121 661 1 2 1.7190082644628 0.4513524213566 1 Yes 34 2 No 87 Wet grain 121 661 1 2 1.9421487603306 0.23443267196777 1 Yes 7 2 No 114 Improper use of the thresher 121 661 1 2 1.9504132231405 0.21799234196876 1 Yes 6 2 No 115 Improper use of the cleaning machine 121 661 1 2 1.9504132231405 0.21799234196876 1 Yes 6 2 No 115 Improper drying facilities 121 661 1 2 1.900826446281 0.30013770944035 1 Yes 12 2 No 109 Climatic condition 121 661 1 2 1.8842975206612 0.32119782701185 1 Yes 14 2 No 107 Other causes 121 661 1 2 1.8760330578512 0.33091408587639 1 Yes 15 2 No 106 Percentage if quantity is unknown 782 <NA> <NA> <NA> <NA> Quantity lost during storage (kg) 37 745 1 344 44.112572317188 90.706382231291 344 344 or more Spillage 58 724 1 2 1.6896551724138 0.46667530888204 1 Yes 18 2 No 40 Pilferage 58 724 1 2 1.7931034482759 0.40861858377397 1 Yes 12 2 No 46 Rodent/birds 58 724 1 2 1.8965517241379 0.307203297018 1 Yes 6 2 No 52 Other pests 58 724 1 2 1.7413793103448 0.44170105106485 1 Yes 15 2 No 43 Delayed harvest 58 724 1 2 1.7931034482759 0.40861858377397 1 Yes 12 2 No 46 Other causes 58 724 1 2 1.8275862068966 0.38103879410557 1 Yes 10 2 No 48 Quantity of processed crop harvest (kg) 48 734 7.5 6911 1905.3164677024 2057.6589267459 6911 6,911 or more Do you have any of the harvested crop in unprocessed form in storage now? 81 701 1 2 1.3827160493827 0.48907824615719 1 Yes 50 2 No 31 Quantity of crop harvest stored in unprocessed form (kg) 41 741 10 3300 831.73697780436 1056.0697863441 3300 3,300 or more What percentage of the stored crop harvest is for consuming? 50 732 1 0.03 0.156817845715 What percentage of the stored crop harvest is for selling? 50 732 100 65.9 45.270727578759 What percentage of the stored crop harvest is for planting as seed? 50 732 100 2.54 14.361527404415 What percentage of the stored crop harvest is for rendering payment 50 732 30 0.82 4.4432475712694 What percentage of the stored crop harvest is for animal feeding? 50 732 What percentage of the stored crop harvest is for any other reason? 50 732 7 0.14 0.98994949366117 Quantity of crop harvest used for other reasons (kg) 3 779 730.00001907349 1657 1282.3333524068 488.37109821923 1657 1,657 or more Survey sampling weight 782 5.8915384219859 291.65706774646 46.967745550167 32.404118475641 Household identifier 14835 Region 14444 391 1 6 3.1353503184713 1.0792969742168 1 South Eastern A 1334 2 South Eastern B 460 3 North Central 9706 4 North Western 1771 5 Greater Montserrado 207 6 South Central 966 Urban or Rural 14835 1 2 1.8914728682171 0.31105548630564 1 Urban 1610 2 Rural 13225 Enumeration area code 14835 2 189 59.82480620155 47.651251261136 In the past 12 months, did you or any household members process on the farm any 14835 1 1 1 1 Yes 14835 2 No Processed Item 14835 1 23 12 6.6334731595767 1 Wheat flour 645 2 Maize flour 645 3 Rye flour 645 4 Rice flour 645 5 Other flour 645 6 Husked rice 645 7 Milled rice 645 8 Polished, glazed, parboiled or converted rice 645 9 Processed or preserved fruit and vegetables 645 10 Olive oil 645 11 Soybean oil 645 12 Palm oil 645 13 Other vegetable oils 645 14 Wines 645 15 Spirit drinks 645 16 Tobacco products (cigars, chewing tobacco, etc.) 645 17 Other specify 645 18 Country Bread 645 19 Fufu 645 20 Gari 645 21 Palm Kernel oil 645 22 Coconut oil 645 23 Dipper/cassava dust 645 Holding produced item during the past 12 months 14835 1 2 1.9452645770138 0.22747075494048 1 Yes 812 2 No 14023 To produce item used current or previous stock 812 14023 1 4 1.9137931034483 1.1730457774977 1 ONLY THIS YEAR'S PRODUCTION 459 2 ONLY PREVIOUS YEAR'S PRODUCTION 101 3 MAINLY THIS YEAR'S PRODUCTION 115 4 MAINLY LAST YEAR'S PRODUCTION 137 Holding sold any item in the past 12 months 812 14023 1 2 1.5775862068966 0.49424813549431 1 Yes 343 2 No 469 Quantity of processed item sold in last 12 months(kg) 259 14576 3 1084 290.51467374517 312.41954507087 1084 1,084 or more ENUMERATOR: RESPONDENT GIVING THE TOTAL VALUE OF SALES OR THE UNIT PRICE 343 14492 1 2 1.7463556851312 0.43573204051328 1 Total value 87 2 Unit Price 256 Total value of all item sales 87 14748 2 50000 10260.08045977 14231.881785901 50000 50,000 or more 6 Average unit price of the item sold in the unit given 256 14579 10 10000 2192.08984375 1847.9956889577 Who in your household decided what to do with earnings from the sale of processe 343 14492 1 9 1.1428571428571 0.58739189623801 Who in your household decided what to do with earnings from the sale of processe 183 14652 2 9 2.1530054644809 0.75489554984697 Who in your household decided what to do with earnings from the sale of processe 5 14830 3 4 3.2 0.44721359549996 Quantity of processed item consumed (kg) 415 14420 1.5 619 125.13271578313 158.15571278466 619 619 or more Quantity of processed item given as gifts (kg) 137 14698 1.2 248 70.782223905109 65.067072519281 248 248 or more Quantity of processed item given as reimbursements (kg) 25 14810 1.2 174 60.757952 55.157991114556 174 174 or more Survey sampling weight 14835 5.8915384219859 348.67128957259 61.932459505373 47.411241683425 Household identifier 13957 Region 13749 208 1 6 3.14066477562 0.98645003527507 1 South Eastern A 808 2 South Eastern B 738 3 North Central 9777 4 North Western 1398 5 Greater Montserrado 194 6 South Central 834 Urban or Rural 13923 34 1 2 1.861452273217 0.3454863631328 1 Urban 1929 2 Rural 11994 Enumeration area code 13957 1 189 61.944472307803 49.010530485346 PARCEL ID 13957 1 14 1.2661030307373 0.71914875477029 PLOT ID 13957 1 9 1.1519667550333 0.50695072105197 CROP CODE 13957 11 99 33.930572472594 28.755060771484 11 Rice/Paddy 4414 12 Cassava 2723 13 Corn/Maize 374 14 Eddoes 359 18 Sweet Potatoes 100 20 Beans 171 42 Plantain 617 46 Bitterballs 618 50 Cucumber 166 51 Egg Plant 75 55 Okra 430 56 Pepper 956 65 Cocoa 714 67 Coffee 138 69 Palm Oil 378 70 Rubber 412 71 Sugar Cane 246 99 Other Crops 1066 Is this the main crop on plot? 13957 1 2 1.4458694561869 0.49707905579988 1 Yes 7734 2 No 6223 Approximately what percent of plot is planted with crop? 13957 1.1 100 62.547553199112 38.875548902188 Was this crop under a greenhouse or a high shelter? 13927 30 1 2 1.9569182164142 0.20304852585625 1 Yes 600 2 No 13327 ENUMERATOR: IS THIS TEMPORARY/SEASONAL OR PERMANENT CROP? 13957 1 2 1.1377803252848 0.34468162047804 1 Temporary Crop 12034 2 Permanent Crop 1923 When was most of the crop seed planted on plot? 12034 1923 1 13 5.501578859897 1.9435751639669 1 January 97 2 February 143 3 March 1101 4 April 1704 5 May 3975 6 June 2895 7 July 790 8 August 457 9 September 255 10 October 176 11 November 194 12 December 127 13 Did not plant this season 120 Which Year 12022 1935 1977 5024 2024.253285643 29.275455656624 Is the crop on this plot cultivated in a plantation or scattered in the field? 1927 12030 1 2 1.8282304099637 0.37727796568921 1 Plantation 331 2 Scattered 1596 How many crop plants on are this plot? 1927 12030 1 9999999 6652834.4052932 4720129.7856656 Survey sampling weight 13957 5.8915384219859 662.73644714174 59.016427713507 45.523984477043 Household identifier 26524 Region 25959 565 1 6 3.134596864286 1.046380296521 1 South Eastern A 1928 2 South Eastern B 1181 3 North Central 18317 4 North Western 2271 5 Greater Montserrado 526 6 South Central 1736 Urban or Rural 26465 59 1 2 1.8203287360665 0.38392065623514 1 Urban 4755 2 Rural 21710 Enumeration area code 26524 1 189 61.309304780576 49.540270251972 HOUSEHOLD MEMBER SERIAL NUMBER 26524 1 23 3.5360051274318 2.3129135021988 Has HH member worked in any crop-related activities for the household farm? 26524 1 2 1.376941637762 0.48462923386098 1 Yes 16526 2 No 9998 How many days has the household member worked in those activities? 16526 9998 1 312 81.997428294808 69.806677996679 How many hours per day on average did household member work? 16526 9998 1 10 6.0251422001694 1.7812063670408 Land preparation 16526 9998 1 2 1.4586106740893 0.49829905541549 1 Yes 8947 2 No 7579 Planting 16526 9998 1 2 1.2596514583081 0.43845662424052 1 Yes 12235 2 No 4291 Fencing 16526 9998 1 2 1.8614304731938 0.34550721631726 1 Yes 2290 2 No 14236 Weeding 16526 9998 1 2 1.4820888297229 0.49969420564854 1 Yes 8559 2 No 7967 Birds scarring 16526 9998 1 2 1.7306063173182 0.44365824335364 1 Yes 4452 2 No 12074 Ridging, fertilizing 16526 9998 1 2 1.9847513009803 0.1225442160708 1 Yes 252 2 No 16274 Other non-harvest activities 16526 9998 1 2 1.6188430352172 0.48568570793113 1 Yes 6299 2 No 10227 Harvesting 16526 9998 1 2 1.4346484327726 0.49572577379791 1 Yes 9343 2 No 7183 Post harvest activities 16526 9998 1 2 1.7124531041994 0.45263238473722 1 Yes 4752 2 No 11774 Survey sampling weight 26524 5.8915384219859 662.73644714174 61.484192973162 51.637640527991 Household identifier 16227 Region 15918 309 1 6 3.1462495288353 1.0874766477378 1 South Eastern A 1275 2 South Eastern B 714 3 North Central 11037 4 North Western 1371 5 Greater Montserrado 342 6 South Central 1179 Urban or Rural 16200 27 1 2 1.8437037037037 0.36314722158966 1 Urban 2532 2 Rural 13668 Enumeration area code 16227 1 189 62.33980403032 50.078188785376 Person type 16227 1 3 2 0.81652174067139 1 MEN (15 AND ABOVE) 5409 2 WOMEN (15 AND ABOVE) 5409 3 CHILDREN (UNDER 15) 5409 Household hired any person to work in any crop related agricultural activity? 16227 1 2 1.5477290934862 0.49773205704457 1 Yes 7339 2 No 8888 How many persons did the household hire to work in crop-related activities? 7339 8888 1 39 14.506404142254 9.4244799844348 39 39 or more How many days did a typical hired person work on in those activities? 7339 8888 1 300 3.7039106145251 10.310349053102 How many hours per day did a typical person work? 7339 8888 1 10 6.5575691511105 1.3853193521722 How much did the HH pay per day to the hired person to work on Ag activities? 7339 8888 20 500 330.76359177 95.277980019828 500 500 or more Persons from other HHs worked on crop related Ag activities as exchange labour? 16227 1 2 1.7480125716399 0.43416745713539 1 Yes 4089 2 No 12138 How many persons worked for the HH on crop-related activities without pay? 4089 12138 1 25 10.054414282221 6.8611676864137 25 25 or more How many days did a typical person work without pay? 4089 12138 1 300 3.426265590609 12.077234522329 How many hours per day did a typical person work? 4089 12138 1 10 6.6786500366838 1.4606085162762 Survey sampling weight 16227 5.8915384219859 662.73644714174 61.596255620624 50.663793044482 Household identifier 5601 Region 5494 107 1 6 3.1437932289771 1.0814628377757 1 South Eastern A 437 2 South Eastern B 244 3 North Central 3825 4 North Western 467 5 Greater Montserrado 122 6 South Central 399 Urban or Rural 5587 14 1 2 1.8424914981206 0.3643121319101 1 Urban 880 2 Rural 4707 Enumeration area code 5601 1 189 62.374218889484 50.056335472445 Input type 5600 1 1 2 1.0108928571429 0.10380812643785 1 INORGANIC FERTILIZER: UREA 5539 2 INORGANIC FERTILIZER: OTHER NITROGENOUS FERTILIZERS 61 3 INORGANIC FERTILIZER: SUPERPHOSPHATES ABOVE 35% OF P2O5 4 INORGANIC FERTILIZER: OTHER PHOSPHATIC FERTILIZERS 5 INORGANIC FERTILIZER: POTASSIUM CHLORIDE (MOP) 6 INORGANIC FERTILIZER: OTHER POTASSIC FERTILIZERS 7 INORGANIC FERTILIZER: NPK COMPOUND 8 INORGANIC FERTILIZER: DIAMMONIUM PHOSPHATE (DAP) 9 INORGANIC FERTILIZER: OTHER COMPOUND FERTILIZERS 10 ORGANIC FERTILIZER: SOLID MANURE 11 ORGANIC FERTILIZER: LIQUID MANURE/SLURRY 12 ORGANIC FERTILIZER: VEGETABLE MATERIAL & COMPOST 13 ORGANIC FERTILIZER: STABILISED SEWAGE SLUDGE 14 ORGANIC FERTILIZER: BIOSTIMULANTS 15 ORGANIC FERTILIZER: OTHER 16 PESTICIDES: INSECTICIDES 17 PESTICIDES: HERBICIDES (SOLID) 18 PESTICIDES: HERBICIDES (LIQUID) 19 PESTICIDES: FUNGICIDES AND BACTERICIDES 20 PESTICIDES: RODENTICIDES 21 PESTICIDES: OTHER Household use any input 5601 1 2 1.9883949294769 0.10710948205324 1 Yes 65 2 No 5536 Quantity of input used 60 5541 0.01 235 55.461086 65.269052015304 235 235 or more Household purchase any of the input? 65 5536 1 2 1.0461538461538 0.21145103088313 1 Yes 62 2 No 3 Quantity of input purchased 59 5542 0.3266 701 101.58546711864 180.90089583697 701 701 or more ENUMERATOR: RESPONDENT GIVING THE TOTAL VALUE OF SALES OR THE UNIT PRICE 62 5539 1 2 1.3225806451613 0.47127986006671 1 Total value 42 2 Unit price 20 What was the total price paid for input purchased? 42 5559 100 35800 7450 10287.193079913 35800 35,800 or more 3 What was the price per unit paid for input purchased? 20 5581 100 14000 3422.5 3851.8783866139 Firm/institution main source of input that your household purchased ? 62 5539 1 5 1.5806451612903 1.3736201672328 1 Local Mecrchant/Grocery 52 2 Government Agency 3 Farmer Association 2 4 Cooperative 5 Agro-Input Dealers 8 99 Other specify Survey sampling weight 5601 5.8915384219859 662.73644714174 61.994166282454 53.293599627568 Household identifier 1922 Region 1880 42 1 6 3.0382978723404 0.628082628127 1 South Eastern A 61 2 South Eastern B 36 3 North Central 1634 4 North Western 104 5 Greater Montserrado 9 6 South Central 36 Urban or Rural 1920 2 1 2 1.859375 0.34772486922784 1 Urban 270 2 Rural 1650 Enumeration area code 1922 1 189 57.107180020812 44.540922353959 PARCEL ID 1922 1 14 2.0067637877211 1.232247615423 PLOT ID 1922 1 6 1.2981269510926 0.7099256352694 CROP CODE 1922 65 99 69.510926118626 7.5385619979636 11 Rice/Paddy 12 Cassava 13 Corn/Maize 14 Eddoes 18 Sweet Potatoes 20 Beans 42 Plantain 46 Bitterballs 50 Cucumber 51 Egg Plant 55 Okra 56 Pepper 65 Cocoa 714 67 Coffee 138 69 Palm Oil 305 70 Rubber 412 71 Sugar Cane 246 99 Other Crops 107 Modern varieties, certified seed 1922 1 2 1.8829344432882 0.32158205497859 1 Yes 225 2 No 1697 Modern varieties, uncertified seed 1922 1 2 1.8074921956296 0.39437224834795 1 Yes 370 2 No 1552 Traditional varieties, uncertified seed 1922 1 2 1.2700312174818 0.44409117234293 1 Yes 1403 2 No 519 Did not use seeds 1922 1 2 1.6035379812695 0.48928973676182 1 Yes 762 2 No 1160 What was the TOTAL number of crop trees/plants/seeds/cuttings planted? 1922 9999999 187876.23204995 1355993.0010983 Unit 998 924 1 17 14.088176352705 4.3274033484507 1 KILOGRAM 12 2 25 KG 27 3 50 KG BAG 6 4 Tin 15 5 Tub 4 6 Bucket 13 7 Bushel 8 Pan 19 9 Sticks 103 10 Bundles 12 11 BUNCH 6 12 PIECE 60 13 OTHER(SPECIFY) 105 14 BALE 1 15 BASKET (DENGU) 16 OX-CART 1 17 Seedlings 614 Did your household purchase any crop trees/plants/seeds/cuttings? 1922 1 2 1.8548387096774 0.35235505731198 1 Yes 279 2 No 1643 How many of the crop trees/plants/seeds/cuttings has the household purchased? 279 1643 1 4099 644.55913978495 1065.6393169661 4099 4,099 or more 14 ENUMERATOR: RESPONDENT GIVING THE TOTAL VALUE OF PURCHASE OR THE UNIT PRICE 279 1643 1 2 1.594982078853 0.49177762605737 1 Total value 113 2 Unit Price 166 What was the total value of crop trees/plants/seeds/cuttings purchased? 113 1809 2 114000 14552.362831858 28247.694524782 114000 114,000 or more 6 What was the average value of each crop trees/plants/seeds/cuttings purchased? 166 1756 1 9999999 182477.56626506 1335965.4054729 Firm/institution main source of croptrees/plants/seeds/cuttings purchased? 279 1643 1 9 1.8673835125448 1.7466238656129 1 Local Mecrchant/Grocery 193 2 Government Agency 2 3 Farmer Association 72 9 Other specify 12 Survey sampling weight 1922 5.8915384219859 348.67128957259 50.439356032034 34.33733261258 Household identifier 7268 Region 7083 185 1 6 3.1307355640265 0.97489953194642 1 South Eastern A 386 2 South Eastern B 420 3 North Central 5101 4 North Western 677 5 Greater Montserrado 56 6 South Central 443 Urban or Rural 7252 16 1 2 1.8703805846663 0.33590740017201 1 Urban 940 2 Rural 6312 Enumeration area code 7268 1 189 63.110897083104 49.871441465647 PARCEL ID 7268 1 11 1.0970005503577 0.41384705361937 PLOT ID 7268 1 9 1.1111722619703 0.41774536413543 CROP CODE 7266 2 11 99 26.755298651252 23.229181996252 11 Rice/Paddy 4414 12 Cassava 13 Corn/Maize 373 14 Eddoes 18 Sweet Potatoes 20 Beans 42 Plantain 46 Bitterballs 618 50 Cucumber 166 51 Egg Plant 73 55 Okra 430 56 Pepper 956 65 Cocoa 67 Coffee 69 Palm Oil 70 Rubber 71 Sugar Cane 99 Other Crops 236 Modern varieties certified seed 7268 1 2 1.9049257017061 0.29333771536894 1 Yes 691 2 No 6577 Modern varieties uncertified seed 7268 1 2 1.7885250412768 0.40838247661416 1 Yes 1537 2 No 5731 Uncertified seed 7268 1 2 1.2925151348376 0.45494890788335 1 Yes 5142 2 No 2126 No seeds used 7268 1 2 1.9898183819483 0.10039591384211 1 Yes 74 2 No 7194 Is the variety recyclable? 2204 5064 1 3 1.3416515426497 0.57078852546374 1 YES, ALL SEED VARIETIES USED ARE RECYCLABLE 1562 2 SOME SEED VARIETIES ARE RECYCLABLE 531 3 NO 111 In which year did you buy the last seed you planted? 7268 1990 2024 2022.762383049 2.8152271167612 What was the TOTAL quantity of temporary crop seeds planted? 7268 9999999 35788.545568244 597076.88548815 Unit 7268 1 17 8.3277380297193 6.401601733106 1 KILOGRAM 125 2 25 KG 1489 3 50 KG BAG 430 4 Tin 1533 5 Tub 80 6 Bucket 844 7 Bushel 22 8 Pan 175 9 Sticks 4 10 Bundles 25 11 BUNCH 42 12 PIECE 8 13 OTHER(SPECIFY) 51 14 BALE 15 BASKET (DENGU) 2 16 OX-CART 17 Cup 2438 What was the TOTAL quantity of temporary crop seeds planted? 7268 <NA> <NA> <NA> <NA> Unit 7268 <NA> <NA> <NA> <NA> 1 KILOGRAM 2 25 KG 3 50 KG BAG 4 Tin 5 Tub 6 Bucket 7 Bushel 8 Pan 9 Sticks 10 Bundles 11 BUNCH 12 PIECE 13 OTHER(SPECIFY) 14 BALE 15 BASKET (DENGU) 16 OX-CART 17 Cup What is the main source of the crop seed used? 7267 1 1 3 1.7421219210128 0.60011198147346 1 PURCHASED 2487 2 LEFT OVER (OWN SEED) 4167 3 RECEIVED FOR FREE 613 Did your household purchase any crop seed that was used? 7268 1 2 1.6459823885526 0.47824743780998 1 Yes 2573 2 No 4695 What was the total quantity of the crop seed purchased? 2573 4695 0.25 9999999 7827.1709677419 278746.04394267 Unit 2573 4695 1 17 8.8383210260396 6.5260198653233 1 KILOGRAM 29 2 25 KG 548 3 50 KG BAG 103 4 Tin 482 5 Tub 24 6 Bucket 319 7 Bushel 5 8 Pan 55 9 Sticks 10 Bundles 9 11 BUNCH 25 12 PIECE 2 13 OTHER(SPECIFY) 10 14 BALE 15 BASKET (DENGU) 16 OX-CART 3 17 Cup 959 ENUMERATOR: RESPONDENT GIVING THE TOTAL VALUE OF THE CROP SEED PURCHASED OR THE UNIT PRICE 2573 4695 1 2 1.6296152351341 0.48300161440617 1 Total value 953 2 Unit Price 1620 What was the total value of the crop seed purchased? 953 6315 1 10000 3203.4407135362 2851.4611791129 10000 10,000 or more 55 What was the average unit price of the crop seed purchased? 1620 5648 1 20000 1684.7685185185 1833.3617094356 Who/which firm/institution was the main source of crop seed purchased? 2573 4695 1 6 1.5371162067625 1.1257804278093 1 LOCAL MERCHANT/GROCERY 2021 2 GOVERNMENT AGENCY 1 3 FARMER ASSOCIATION 426 4 COOPRATIVE 18 5 AGRO-INPUT DEALERS 60 6 OTHER (SPECIFY) 47 Survey sampling weight 7268 5.8915384219859 662.73644714174 58.419540378629 42.722775698519 Household identifier 3780 Region 3570 210 1 4 2.8274509803922 0.83185894105945 1 South Eastern A 532 2 South Eastern B 3 North Central 2590 4 North Western 448 5 Greater Montserrado 6 South Central Urban or Rural 3763 17 1 2 1.8179643901143 0.38592515630643 1 Urban 685 2 Rural 3078 Enumeration area code 3780 3 178 66.374074074074 51.447934201957 Livestock type 3780 11 81 38.214285714286 24.834655278942 11 Large ruminants: Bulls 270 12 Large ruminants: Cows 270 13 Large ruminants: Steers/Heifers 270 14 Large ruminants: Calves - Males/Females 270 21 Small ruminants: Goats - He/She/Kids 270 22 Small ruminants: Sheep - Rams/Ewes/Lambs 270 23 Small ruminants: Rabbits 270 31 Camelids: Camels - He/She/Kids 270 41 Pigs: Pigs - Boar/Sow/Piglets 270 51 Poultry: Indigenous Chicken (Hens) 52 Poultry: Indigenous Chicken (Roster) 53 Poultry: Exotic Chicken (layers) 54 Poultry: Exotic Chicken (broilers) 55 Poultry: Pullets/DOCs 56 Poultry: Ducks 57 Poultry: Guinea Fowls 58 Poultry: Turkeys 59 Poultry: Pigeons 61 Equines: Horses 270 62 Equines: Mules / Donkeys 270 71 Insects: Snails 270 72 Insects: Bees 270 81 Other: Specify 270 510 Poultry: Geese 511 Poultry: Other specify In the last 12 months, did the household own or keep any livestock? 3777 3 1 2 1.9134233518666 0.2812509115147 1 Yes 327 2 No 3450 How many livestock does the household currently keep? 330 3450 23 6.7333333333333 5.9635502097624 23 23 or more 17 Men 323 3457 1 2 1.2383900928793 0.42676001244789 1 Yes 246 2 No 77 Women 323 3457 1 2 1.5913312693498 0.49235057812819 1 Yes 132 2 No 191 Children 323 3457 1 2 1.9071207430341 0.29071352727567 1 Yes 30 2 No 293 All household members 323 3457 1 2 1.938080495356 0.24138324149943 1 Yes 20 2 No 303 Member(s) of household own all the livestock currently kept by the household? 323 3457 1 2 1.1176470588235 0.32268964651027 1 Yes 285 2 No 38 Number of livestock kept by the household owned member(s) of the household? 38 3742 23 4.8421052631579 6.7123376352178 23 23 or more 3 Number of livestock kept by the household owned by women of the household? 28 3752 21 3.1428571428571 5.720102859178 21 21 or more 2 Who in your household owns the livestock currently kept by the household? 3780 Who in your household owns the [BULLS] currently kept by your household? 28 3752 1 5 1.2142857142857 0.78679579246944 Who in your household owns the [BULLS] currently kept by your household? 2 3778 2 2 2 Member(s) of household own any livestock that is not kept by the household? 330 3450 1 2 1.7757575757576 0.41771582014738 1 Yes 74 2 No 256 Number of such livestock owned by member(s) of the household? 74 3706 1 19 5.5540540540541 4.9605067457993 19 19 or more 4 Number of such livestock owned by women of the household? 74 3706 14 2.7702702702703 3.8907945355331 14 14 or more 4 Who in the household owns the livestock not currently kept by the household? 3780 Who in your household owns the [BULLS] currently kept by your household? 74 3706 1 5 1.2837837837838 0.85239823271209 Who in your household owns the [BULLS] currently kept by your household? 17 3763 2 2 2 Sale of live animals 330 3450 1 2 1.230303030303 0.42166614697468 1 Yes 254 2 No 76 Sale of livestock products 330 3450 1 2 1.8333333333333 0.37324394645642 1 Yes 55 2 No 275 Food for the family 330 3450 1 2 1.5575757575758 0.4974282206197 1 Yes 146 2 No 184 Savings and insurance 330 3450 1 2 1.8787878787879 0.32686925688848 1 Yes 40 2 No 290 Social status/prestige 330 3450 1 2 1.8787878787879 0.32686925688849 1 Yes 40 2 No 290 Crop agriculture (manure, draught power) 330 3450 1 2 1.9878787878788 0.10959326781837 1 Yes 4 2 No 326 Transport 330 3450 2 2 2 1 Yes 2 No 330 Other specify 330 3450 1 2 1.930303030303 0.25502231678357 1 Yes 23 2 No 307 Who in your household decides on how to use the earnings made from livestock? 3780 Who in your household decides on how to use the earnings made from [BULLS] in th 330 3450 1 21 1.8757575757576 3.7699443533525 Who in your household decides on how to use the earnings made from [BULLS] in th 113 3667 2 7 2.1769911504425 0.77032099635216 Who in your household decides on how to use the earnings made from [BULLS] in th 3 3777 3 3 3 Survey sampling weight 3780 7.4884905762635 193.99241343826 54.853573952575 31.781780896713 Household identifier 4466 Region 4202 264 1 4 3.044502617801 0.89254603349995 1 South Eastern A 528 2 South Eastern B 3 North Central 2431 4 North Western 1243 5 Greater Montserrado 6 South Central Urban or Rural 4463 3 1 2 1.8577190230786 0.3493772328609 1 Urban 635 2 Rural 3828 Enumeration area code 4466 1 178 64.374384236453 47.695873104608 Livestock type 4466 51 511 137.81818181818 175.7192204238 11 Large ruminants: Bulls 12 Large ruminants: Cows 13 Large ruminants: Steers/Heifers 14 Large ruminants: Calves - Males/Females 21 Small ruminants: Goats - He/She/Kids 22 Small ruminants: Sheep - Rams/Ewes/Lambs 23 Small ruminants: Rabbits 31 Camelids: Camels - He/She/Kids 41 Pigs: Pigs - Boar/Sow/Piglets 51 Poultry: Indigenous Chicken (Hens) 406 52 Poultry: Indigenous Chicken (Roster) 406 53 Poultry: Exotic Chicken (layers) 406 54 Poultry: Exotic Chicken (broilers) 406 55 Poultry: Pullets/DOCs 406 56 Poultry: Ducks 406 57 Poultry: Guinea Fowls 406 58 Poultry: Turkeys 406 59 Poultry: Pigeons 406 61 Equines: Horses 62 Equines: Mules / Donkeys 71 Insects: Snails 72 Insects: Bees 81 Other: Specify 510 Poultry: Geese 406 511 Poultry: Other specify 406 In the last 12 months, did the household own or keep any poultry? 4458 8 1 2 1.8263795423957 0.3788252704797 1 Yes 774 2 No 3684 How many poultry does the household currently keep? 781 3685 20 6.3290653008963 5.1466232665986 20 20 or more 46 Men 770 3696 1 2 1.6246753246753 0.48452135945162 1 Yes 289 2 No 481 Women 770 3696 1 2 1.361038961039 0.48061399940643 1 Yes 492 2 No 278 Children 770 3696 1 2 1.9 0.30019499514571 1 Yes 77 2 No 693 All household members 770 3696 1 2 1.8688311688312 0.33780433093335 1 Yes 101 2 No 669 Member(s) of household own all the poultry currently kept by the household? 770 3696 1 2 1.0649350649351 0.24657140956978 1 Yes 720 2 No 50 Number of poultry kept by the household owned member(s) of the household? 50 4416 11 3.16 3.5591789926949 11 11 or more 4 Number of poultry kept by the household owned by women of the household? 31 4435 8 2.4516129032258 2.7427323320297 8 8 or more 2 Who in your household owns the poultry currently kept by the household? 4466 Who in your household owns the [Indigenous Chicken (Hens)] currently kept by you 31 4435 1 2 1.1612903225806 0.37387825055298 Who in your household owns the [Indigenous Chicken (Hens)] currently kept by you 6 4460 2 7 3 2 Member(s) of household own any poultry that is not kept by the household? 781 3685 1 2 1.8668373879641 0.3399681137919 1 Yes 104 2 No 677 Number of such poultry owned by member(s) of the household? 104 4362 1 13 4.6442307692308 3.4722709315312 13 13 or more 6 Number of such poultry owned by women of the household? 104 4362 10 3.2788461538462 2.8093351000293 10 10 or more 8 Who in the household owns the poultry not currently kept by the household? 4466 Who in your household owns the [Indigenous Chicken (Hens)] that is not currently 104 4362 1 7 1.4230769230769 0.96232230933046 Who in your household owns the [Indigenous Chicken (Hens)] that is not currently 19 4447 2 4 2.1052631578947 0.45883146774112 Sale of live poultry 781 3685 1 2 1.50576184379 0.50028718893655 1 Yes 386 2 No 395 Sale of poultry products 781 3685 1 2 1.9308578745198 0.25385824134254 1 Yes 54 2 No 727 Food for the family 781 3685 1 2 1.1037131882202 0.30508349372977 1 Yes 700 2 No 81 Savings and isurance 781 3685 1 2 1.8693982074264 0.33718027050422 1 Yes 102 2 No 679 Social status/prestige 781 3685 1 2 1.8194622279129 0.38488122399548 1 Yes 141 2 No 640 Crop agriculture (manure, draught power) 781 3685 1 2 1.9974391805378 0.05057209072555 1 Yes 2 2 No 779 Transport 781 3685 1 2 1.9961587708067 0.06189814122991 1 Yes 3 2 No 778 Other specify 781 3685 1 2 1.9193341869398 0.27249571574428 1 Yes 63 2 No 718 Who in your household decides on how to use the earnings made from poultry? 4466 Who in your household decides on how to use the earnings made from [Indigenous C 781 3685 1 21 3.0819462227913 5.7844570077085 Who in your household decides on how to use the earnings made from [Indigenous C 258 4208 2 7 2.1744186046512 0.65764336600544 Who in your household decides on how to use the earnings made from [Indigenous C 16 4450 3 3 3 Survey sampling weight 4466 5.8915384219859 220.66637028602 62.895920156012 41.193702986637 Household identifier 330 Region 309 21 1 4 2.8349514563107 0.82686727737232 1 South Eastern A 45 2 South Eastern B 3 North Central 225 4 North Western 39 5 Greater Montserrado 6 South Central Urban or Rural 326 4 1 2 1.8067484662577 0.39545554403161 1 Urban 63 2 Rural 263 Enumeration area code 330 3 178 67.012121212121 50.991803129211 Livestock type 330 12 81 28.621212121212 13.029969140053 11 Large ruminants: Bulls 12 Large ruminants: Cows 7 13 Large ruminants: Steers/Heifers 14 Large ruminants: Calves - Males/Females 21 Small ruminants: Goats - He/She/Kids 159 22 Small ruminants: Sheep - Rams/Ewes/Lambs 58 23 Small ruminants: Rabbits 31 Camelids: Camels - He/She/Kids 41 Pigs: Pigs - Boar/Sow/Piglets 96 51 Poultry: Indigenous Chicken (Hens) 52 Poultry: Indigenous Chicken (Roster) 53 Poultry: Exotic Chicken (layers) 54 Poultry: Exotic Chicken (broilers) 55 Poultry: Pullets/DOCs 56 Poultry: Ducks 57 Poultry: Guinea Fowls 58 Poultry: Turkeys 59 Poultry: Pigeons 61 Equines: Horses 62 Equines: Mules / Donkeys 71 Insects: Snails 72 Insects: Bees 81 Other: Specify 10 510 Poultry: Geese 511 Poultry: Other specify How many livestock were born in the past 12 months? 321 9 11 3.0404984423676 3.1634996049911 11 11 or more 19 How many livestock did the household buy alive in the past 12 months? 330 3 0.61515151515152 1.0137717986057 3 3 or more 28 ENUMERATOR:RESPONDENT GIVING THE TOTAL VALUE OF THE PURCHASED OR THE UNIT PRICE 101 229 1 2 1.4653465346535 0.50128547626365 1 Total Value 54 2 Unit Price 47 What was the total value of livestock purchased in the past 12 months 54 276 2 59010 13676.555555556 17298.20697292 59010 59,010 or more 3 What was the average unit price of livestock purchased in the past 12 months? 47 283 5 40000 7801.8085106383 9170.9117432055 How many livestock were received for free or as gifts in the past 12 months? 101 229 1 0.10891089108911 0.31308114280518 1 1 or more 11 How many livestock has the household sold alive in the past 12 month? 330 6 1.0030303030303 1.7055220253688 6 6 or more 17 ENUMERATOR:RESPONDENT GIVING THE TOTAL VALUE OF THE PURCHASED OR THE UNIT PRICE 117 213 1 2 1.5811965811966 0.49548506778914 1 Total value 49 2 Unit price 68 What were the total revenues from these livestock sales? 49 281 12 125760 24895.040816327 33846.971573022 125760 125,760 or more 3 What was the average unit price of the livestock sold in the past 12 months? 68 262 8 65000 13883.867647059 13952.846305575 How many livestock died due to diseases in the past 12 months? 330 15 0.93333333333333 1.9229325797283 How many livestock died for causes other than disease in the past 12 months? 330 100 0.77272727272727 5.6477002731414 Drought 138 192 1 2 1.9420289855072 0.23453995790576 1 Yes 8 2 No 130 Killed by flood 138 192 1 2 1.9492753623188 0.22023424053135 1 Yes 7 2 No 131 Extreme temperature/heatstress 138 192 1 2 1.8695652173913 0.33800805407676 1 Yes 18 2 No 120 Old age 138 192 1 2 1.963768115942 0.18754737756098 1 Yes 5 2 No 133 Other specify 138 192 1 2 1.5797101449275 0.4954036060517 1 Yes 58 2 No 80 Accident 138 192 1 2 1.7173913043478 0.45190804624348 1 Yes 39 2 No 99 Attack from other animals 138 192 1 2 1.8695652173913 0.33800805407676 1 Yes 18 2 No 120 How many livestock died due to cause 1 in the past 12 months? 138 192 50 2.3840579710145 4.449755941422 How many livestock died due to cause 2 in the past 12 months? 15 315 1 6 2.4666666666667 1.7265434778633 Drought 8 322 1 4 2.25 1.0350983390135 Killed by flood 7 323 1 6 3.5714285714286 2.0701966780271 Extreme temperature/heatstress 18 312 50 5.4444444444444 11.377078205617 Old age 5 325 1 3 2 1 Other specify 58 272 7 2.1034482758621 1.5860096144972 Accident 39 291 9 1.4615384615385 1.603387103113 Attack from other animals 18 312 6 2 1.8149704259461 How many livestock were lost (stolen, missing etc.) in the past 12 months 330 7 0.26969696969697 0.83428977074595 How many livestock were given away in the past 12 months? 330 8 0.32727272727273 0.90027781165578 How many livestock has this household slaughtered in the past 12 months? 330 10 0.49090909090909 1.2456278885346 Proportion of livestock slaughtered and consumed by the household in the past 12 months? 79 251 0.25 100 30.294303797468 40.780167366879 Did the household sell any slaughtered livestock or their meat in the past 12 months? 79 251 1 2 1.8354430379747 0.37314944235402 1 Yes 13 2 No 66 Proportion of livestock slaughtered and sold by the household in the past 12 months? 13 317 0.5 80 26.153846153846 28.004750054964 What were the total revenues from these sales of slaughtered livestock? 13 317 1 25000 9703.9230769231 9107.7480793511 25000 25,000 or more 2 Survey sampling weight 330 7.4884905762635 193.99241343826 55.185225686685 31.735043637837 Household identifier 781 Region 727 54 1 4 3.0275103163686 0.86359632576461 1 South Eastern A 87 2 South Eastern B 3 North Central 446 4 North Western 194 5 Greater Montserrado 6 South Central Urban or Rural 779 2 1 2 1.8408215661104 0.36607743958186 1 Urban 124 2 Rural 655 Enumeration area code 781 1 178 63.052496798976 46.726575752761 Livestock type 781 51 81 52.102432778489 3.1876776728201 11 Large ruminants: Bulls 12 Large ruminants: Cows 13 Large ruminants: Steers/Heifers 14 Large ruminants: Calves - Males/Females 21 Small ruminants: Goats - He/She/Kids 22 Small ruminants: Sheep - Rams/Ewes/Lambs 23 Small ruminants: Rabbits 31 Camelids: Camels - He/She/Kids 41 Pigs: Pigs - Boar/Sow/Piglets 51 Poultry: Indigenous Chicken (Hens) 388 52 Poultry: Indigenous Chicken (Roster) 309 53 Poultry: Exotic Chicken (layers) 10 54 Poultry: Exotic Chicken (broilers) 9 55 Poultry: Pullets/DOCs 20 56 Poultry: Ducks 37 57 Poultry: Guinea Fowls 58 Poultry: Turkeys 59 Poultry: Pigeons 61 Equines: Horses 62 Equines: Mules / Donkeys 71 Insects: Snails 72 Insects: Bees 81 Other: Specify 8 510 Poultry: Geese 511 Poultry: Other specify How many poultry were born in the past 3 months? 781 20 4.7797695262484 5.76501610718 20 20 or more How many poultry did this household buy alive in the past 3 months? 781 2 0.20742637644046 0.57556764290551 2 2 or more 65 ENUMERATOR: RESPONDENT GIVING THE TOTAL VALUE OF THE PURCHASED OR THE UNIT PRICE 98 683 1 2 1.5714285714286 0.49741600337381 1 Total Value 42 2 Unit Price 56 What was the total value of the poultry purchased in the past 3 months? 42 739 1 5385 1407.4523809524 1411.3518204515 5385 5,385 or more 3 What was the average unit price of the poultry purchased in the last 3 months? 56 725 5 2000 753.125 434.66764994544 How many poultry were received for free or as gifts in the past 3 months? 781 2 0.16645326504481 0.50174193431123 2 2 or more 44 How many poultry has this household sold alive in the past 3 months? 781 6 0.69910371318822 1.6338915997528 6 6 or more 41 ENUMERATOR: RESPONDENT GIVING THE TOTAL VALUE OF THE PURCHASED OR THE UNIT PRICE 158 623 1 2 1.7088607594937 0.45573203474735 1 Total Value 46 2 Unit Price 112 What were the total revenues from these poultry sales? 46 735 2 46350 6300.2608695652 11325.162643786 46350 46,350 or more 3 What was the average unit price of the poultry sold in the past 3 months? 112 669 5 18000 1084.1071428571 1676.4743698432 How many poultry died due to diseases in the past 3 months? 781 16000 22.522407170294 572.74651713887 How many poultry died for causes other than disease in the past 3 months? 781 50 1.5928297055058 4.555993494957 Drought 310 471 1 2 1.9774193548387 0.14880250680666 1 Yes 7 2 No 303 Killed by flood 310 471 1 2 1.9354838709677 0.24606730352078 1 Yes 20 2 No 290 Extreme temperature/heatstress 310 471 1 2 1.9451612903226 0.2280332538025 1 Yes 17 2 No 293 Old age 310 471 1 2 1.9870967741935 0.11303960265985 1 Yes 4 2 No 306 Other specify 310 471 1 2 1.8387096774194 0.3683931867387 1 Yes 50 2 No 260 Accident 310 471 1 2 1.841935483871 0.36539130379045 1 Yes 49 2 No 261 Attack from other animals 310 471 1 2 1.3548387096774 0.47923800741633 1 Yes 200 2 No 110 How many poultry died due to cause 1 in the past 3 months? 307 474 500 4.5765472312704 28.688714226802 How many poultry died due to cause 2 in the past 3 months? 34 747 20 2.7352941176471 4.0549918621105 Drought 7 774 2 15 5.8571428571429 5.3363086938623 Killed by flood 20 761 18 3.95 4.5477004021119 Extreme temperature/heatstress 17 764 10 3.0588235294118 2.2491828581535 Old age 4 777 1 6 3.25 2.0615528128088 Other specify 50 731 30 3.78 5.281040404608 Accident 46 735 15 1.9782608695652 2.9551396314804 Attack from other animals 197 584 500 5.258883248731 35.683829653591 How many poultry were lost (stolen, missing etc.) in the past 3 months? 781 40 1.145966709347 3.059948004237 How many poultry were given away in the past 3 months? 781 25 0.57746478873239 1.8160831973917 How many poultry has this household slaughtered in the past 3 months? 781 40 1.4455825864277 3.6078506386311 How many poultry slaughtered and consumed by the household in the past 3 months? 301 480 1 40 3.7707641196013 4.9508190313161 Did the household sell any slaughtered poultry in the past 3 months? 301 480 1 2 1.9501661129568 0.21796400080711 1 Yes 15 2 No 286 How many slaughtered poultry did your household sell in the past 3 months? 15 766 1 13 3.1666666666667 3.662876829306 13 13 or more ENUMERATOR: RESPONDENT GIVING THE TOTAL VALUE OF THE PURCHASED OR THE UNIT PRICE 15 766 1 2 1.4666666666667 0.51639777949432 1 Total Value 8 2 Unit Price 7 Total revenues from these sales of slaughtered poultry? 8 773 400 7550 2293.75 2360.7561591272 7550 7,550 or more 1 Average unit price of the poultry slaughtered and sold in the last 3 months? 7 774 200 1500 785.71428571429 517.77914026662 Survey sampling weight 781 5.8915384219859 220.66637028602 61.019925344141 40.282909650922 Household identifier 330 Region 290 40 1 4 2.8689655172414 0.78705066744911 1 South Eastern A 37 2 South Eastern B 3 North Central 217 4 North Western 36 5 Greater Montserrado 6 South Central Urban or Rural 312 18 1 2 1.8269230769231 0.37892149435861 1 Urban 54 2 Rural 258 Enumeration area code 330 3 178 67.012121212121 50.991803129211 Livestock type 330 12 81 28.209090909091 12.42638783688 11 Large ruminants: Bulls 12 Large ruminants: Cows 7 13 Large ruminants: Steers/Heifers 2 14 Large ruminants: Calves - Males/Females 21 Small ruminants: Goats - He/She/Kids 159 22 Small ruminants: Sheep - Rams/Ewes/Lambs 58 23 Small ruminants: Rabbits 31 Camelids: Camels - He/She/Kids 41 Pigs: Pigs - Boar/Sow/Piglets 96 51 Poultry: Indigenous Chicken (Hens) 52 Poultry: Indigenous Chicken (Roster) 53 Poultry: Exotic Chicken (layers) 54 Poultry: Exotic Chicken (broilers) 55 Poultry: Pullets/DOCs 56 Poultry: Ducks 57 Poultry: Guinea Fowls 58 Poultry: Turkeys 59 Poultry: Pigeons 61 Equines: Horses 62 Equines: Mules / Donkeys 71 Insects: Snails 72 Insects: Bees 81 Other: Specify 8 510 Poultry: Geese 511 Poultry: Other specify Household practiced any controlled mating or other breeding strategy for livestock in the past 12 months? 330 1 2 1.9 0.30045558112806 1 Yes 33 2 No 297 Household incurred any cost related to breeding livestock in the past 12 months? 33 297 1 2 1.7575757575758 0.43519413988924 1 Yes 8 2 No 25 Amount household spent in total over the last 12 months for breeding livestock? 8 322 60 30765 9165.625 11983.13917776 30765 30,765 or more 1 Main source of water for livestock in the past 12 months? 1st Season 302 28 1 6 3.3046357615894 1.3067337866409 1 Borehole 52 2 Dam 2 3 Well 101 4 River/spring/stream 112 5 rainwater harvesting 19 6 OTHER(SPECIFY) 16 Main source of water for livestock in the past 12 months? 2nd Season 321 9 1 6 3.196261682243 1.2532900627183 1 Borehole 56 2 Dam 4 3 Well 118 4 River/spring/stream 125 5 rainwater harvesting 6 OTHER(SPECIFY) 18 Household paid for the water for livestock in the past 12 months? 1st season 330 2 2 2 1 Yes 2 No 330 Household paid for the water for livestock in the past 12 months? 2nd season 330 1 2 1.9969696969697 0.055048188256318 1 Yes 1 2 No 329 How much has this household paid for water for livestock in the past 12 months? 1 329 10 10 10 <NA> Household purchased any fodder or feed for livestock? 1st Season 330 1 2 1.8666666666667 0.3404508602533 1 Yes 44 2 No 286 Household purchased any fodder or feed for livestock? 2nd Season 330 1 2 1.8727272727273 0.33378434993729 1 Yes 42 2 No 288 Amount household spent to purchase fodder or feed for livestock? 1st Season 44 286 192800 29998.863636364 53839.580288626 192800 192,800 or more 3 Amount household spent to purchase fodder or feed for livestock? 2nd Season 42 288 149650 24645.428571429 41367.227038276 149650 149,650 or more 3 Survey sampling weight 330 7.4884905762635 193.99241343826 55.185225686685 31.735043637837 Household identifier 781 Region 694 87 1 4 3.0374639769452 0.84346733069521 1 South Eastern A 78 2 South Eastern B 3 North Central 434 4 North Western 182 5 Greater Montserrado 6 South Central Urban or Rural 743 38 1 2 1.8721399730821 0.33415883339169 1 Urban 95 2 Rural 648 Enumeration area code 781 1 178 63.052496798976 46.726575752761 Livestock type 781 51 81 52.106274007682 3.1929769200549 11 Large ruminants: Bulls 12 Large ruminants: Cows 13 Large ruminants: Steers/Heifers 14 Large ruminants: Calves - Males/Females 21 Small ruminants: Goats - He/She/Kids 22 Small ruminants: Sheep - Rams/Ewes/Lambs 23 Small ruminants: Rabbits 31 Camelids: Camels - He/She/Kids 41 Pigs: Pigs - Boar/Sow/Piglets 51 Poultry: Indigenous Chicken (Hens) 388 52 Poultry: Indigenous Chicken (Roster) 309 53 Poultry: Exotic Chicken (layers) 10 54 Poultry: Exotic Chicken (broilers) 10 55 Poultry: Pullets/DOCs 17 56 Poultry: Ducks 37 57 Poultry: Guinea Fowls 2 58 Poultry: Turkeys 59 Poultry: Pigeons 61 Equines: Horses 62 Equines: Mules / Donkeys 71 Insects: Snails 72 Insects: Bees 81 Other: Specify 8 510 Poultry: Geese 511 Poultry: Other specify Household practiced any controlled mating or other breeding strategy for poultry in the past 12 months? 781 1 2 1.9142125480154 0.28022939485318 1 Yes 67 2 No 714 Household incurred any cost related to breeding poultry in the past 12 months? 67 714 1 2 1.6268656716418 0.48728751066094 1 Yes 25 2 No 42 Amount household spent in total over the last 12 months for breeding poultry? 25 756 30 12600 1833.2 4062.2548336279 12600 12,600 or more 2 Main source of water for poultry in the past 12 months? 1st Season 756 25 1 6 3.6044973544974 1.4902529715449 1 Borehole 132 2 Dam 6 3 Well 197 4 River/spring/stream 155 5 rainwater harvesting 226 6 OTHER(SPECIFY) 40 Main source of water for poultry in the past 12 months? 2nd Season 779 2 1 6 3.1566110397946 1.5104151922189 1 Borehole 179 2 Dam 8 3 Well 304 4 River/spring/stream 179 5 rainwater harvesting 18 6 OTHER(SPECIFY) 91 Household paid for the water for poultry in the past 12 months? 1st season 781 2 2 2 1 Yes 2 No 781 Household paid for the water for poultry in the past 12 months? 2nd season 781 2 2 2 1 Yes 2 No 781 How much has this household paid for water for poultry in the past 12 months? 781 <NA> <NA> <NA> <NA> Household purchased any fodder or feed for poultry? 1st Season 781 1 2 1.9910371318822 0.09430759767076 1 Yes 7 2 No 774 Household purchased any fodder or feed for poultry? 2nd Season 781 1 2 1.9910371318822 0.09430759767076 1 Yes 7 2 No 774 Amount household spent to purchase fodder or feed for poultry? 1st Season 7 774 6 11160 3230.8571428571 3955.1458223674 11160 11,160 or more 1 Amount household spent to purchase fodder or feed for poultry? 2nd Season 7 774 120 5580 2392.8571428571 2221.5963801263 5580 5,580 or more 1 Survey sampling weight 781 5.8915384219859 220.66637028602 61.019925344141 40.282909650922 Household identifier 1350 Region 1195 155 1 4 2.8535564853556 0.79748998247109 1 South Eastern A 160 2 South Eastern B 3 North Central 890 4 North Western 145 5 Greater Montserrado 6 South Central Urban or Rural 1290 60 1 2 1.8410852713178 0.36573833696377 1 Urban 205 2 Rural 1085 Enumeration area code 1350 3 178 66.374074074074 51.460191330447 Worker category 1350 1 5 3 1.4147376363442 1 Household members: adult males 270 2 Household members: adult females 270 3 Household members: children 270 4 Free/exchange workers 270 5 Hired worker 270 Workers involved in keeping/raising livestock in the past 3 months? 1350 1 2 1.7407407407407 0.43839052902313 1 Yes 350 2 No 1000 How many workers were involved in keeping/raising livestock in the past 3 months? 350 1000 1 4 1.4057142857143 0.81600847555253 4 4 or more 18 Days a typical worker worked to keep/raise livestock in the past 3 months? 350 1000 1 90 45.082857142857 35.733276375445 Hours per day a typical worker worked to keep/raise livestock in the past 3 months? 350 1000 1 10 2.8714285714286 2.5822927362493 Amount household paid per day to the worker for livestock work? 1350 <NA> <NA> <NA> <NA> Survey sampling weight 1350 7.4884905762635 193.99241343826 54.853573952575 31.789352694845 Household identifier 2030 Region 1845 185 1 4 3.0650406504065 0.86263579897053 1 South Eastern A 210 2 South Eastern B 3 North Central 1095 4 North Western 540 5 Greater Montserrado 6 South Central Urban or Rural 1950 80 1 2 1.8897435897436 0.31328943123637 1 Urban 215 2 Rural 1735 Enumeration area code 2030 1 178 64.374384236453 47.702283696663 Worker category 2030 1 5 3 1.4145620195824 1 Household members: adult males 406 2 Household members: adult females 406 3 Household members: children 406 4 Free/exchange workers 406 5 Hired worker 406 Workers involved in keeping/raising poultry in the past 3 months? 2030 1 2 1.7389162561576 0.43933370390026 1 Yes 530 2 No 1500 How many workers were involved in keeping/raising poultry in the past 3 months? 530 1500 1 4 1.4056603773585 0.80848877539479 4 4 or more 28 Days a typical worker worked to keep/raise poultry in the past 3 months? 530 1500 1 90 44.790566037736 36.316341492699 Hours per day a typical worker worked to keep/raise poultry in the past 3 months? 530 1500 1 10 3.3622641509434 3.2970300214327 Amount household paid per day to the worker for poultry work? 2030 <NA> <NA> <NA> <NA> Survey sampling weight 2030 5.8915384219859 220.66637028602 62.895920156012 41.199239650669 Household identifier 1114 Region 998 116 1 4 2.9959919839679 0.82585111134526 1 South Eastern A 114 2 South Eastern B 3 North Central 660 4 North Western 224 5 Greater Montserrado 6 South Central Urban or Rural 1064 50 1 2 1.8618421052632 0.34522790197581 1 Urban 147 2 Rural 917 Enumeration area code 1114 1 178 64.139138240575 48.028232128375 Livestock type 1114 12 81 45.52513464991 13.323934116178 11 Large ruminants: Bulls 12 Large ruminants: Cows 4 13 Large ruminants: Steers/Heifers 14 Large ruminants: Calves - Males/Females 21 Small ruminants: Goats - He/She/Kids 158 22 Small ruminants: Sheep - Rams/Ewes/Lambs 57 23 Small ruminants: Rabbits 31 Camelids: Camels - He/She/Kids 41 Pigs: Pigs - Boar/Sow/Piglets 96 51 Poultry: Indigenous Chicken (Hens) 388 52 Poultry: Indigenous Chicken (Roster) 310 53 Poultry: Exotic Chicken (layers) 8 54 Poultry: Exotic Chicken (broilers) 7 55 Poultry: Pullets/DOCs 20 56 Poultry: Ducks 37 57 Poultry: Guinea Fowls 3 58 Poultry: Turkeys 59 Poultry: Pigeons 61 Equines: Horses 62 Equines: Mules / Donkeys 71 Insects: Snails 72 Insects: Bees 81 Other: Specify 26 510 Poultry: Geese 511 Poultry: Other specify Household animals experienced any diseases? 1114 PPR 1114 1 2 1.9730700179533 0.1619515432798 1 Yes 30 2 No 1084 Brucellosis 1114 1 2 1.9856373429084 0.11903398793789 1 Yes 16 2 No 1098 Antrax 1114 1 2 1.9901256732496 0.09892223526841 1 Yes 11 2 No 1103 FMD 1114 1 2 1.9937163375224 0.079055602497892 1 Yes 7 2 No 1107 New casttle disease 1114 1 2 1.9228007181329 0.26702726364976 1 Yes 86 2 No 1028 Fowl pox 1114 1 2 1.9147217235189 0.27942079056134 1 Yes 95 2 No 1019 Foot and mouth disease 1114 1 2 1.9236983842011 0.26559932847392 1 Yes 85 2 No 1029 CBPP 1114 1 2 1.9973070017953 0.051847459286727 1 Yes 3 2 No 1111 Other 1114 1 2 1.9937163375224 0.079055602497892 1 Yes 7 2 No 1107 None of the above 1114 1 2 1.2396768402154 0.42707795869778 1 Yes 847 2 No 267 Has this household vaccinated any animals in the past 12 months? 1114 1 2 1.9461400359066 0.22584254180222 1 Yes 60 2 No 1054 Household treated any animals against internal parasites in the past 12 months? 1114 1 2 1.9452423698384 0.22760873522853 1 Yes 61 2 No 1053 Household treated animals against external parasites in the past 12 months? 1114 1 2 1.9497307001795 0.21859824441624 1 Yes 56 2 No 1058 Amount household spent on vaccines and treatments against internal and/ external parasites for animals? 74 1040 1 28050 5856.1486486486 7506.2359548896 28050 28,050 or more 5 Animals in the household received any curative treatment in the past 12 months? 1114 1 2 1.9578096947935 0.20111337818569 1 Yes 47 2 No 1067 Amount household spend in total on curative treatments in the past 12 months? 47 1067 40 17100 4837.6595744681 5312.601185846 17100 17,100 or more 3 Survey sampling weight 1114 5.8915384219859 220.66637028602 59.37295149909 38.043309673331 Household identifier 224 Region 189 35 1 4 2.8730158730159 0.90198475287976 1 South Eastern A 30 2 South Eastern B 3 North Central 123 4 North Western 36 5 Greater Montserrado 6 South Central Urban or Rural 213 11 1 2 1.8591549295775 0.34868112620329 1 Urban 30 2 Rural 183 Enumeration area code 224 3 173 66.669642857143 49.975669128133 Livestock type 224 12 22 20.977678571429 1.6739743434409 11 Large ruminants: Bulls 12 Large ruminants: Cows 7 13 Large ruminants: Steers/Heifers 14 Large ruminants: Calves - Males/Females 21 Small ruminants: Goats - He/She/Kids 159 22 Small ruminants: Sheep - Rams/Ewes/Lambs 58 23 Small ruminants: Rabbits 31 Camelids: Camels - He/She/Kids 41 Pigs: Pigs - Boar/Sow/Piglets 51 Poultry: Indigenous Chicken (Hens) 52 Poultry: Indigenous Chicken (Roster) 53 Poultry: Exotic Chicken (layers) 54 Poultry: Exotic Chicken (broilers) 55 Poultry: Pullets/DOCs 56 Poultry: Ducks 57 Poultry: Guinea Fowls 58 Poultry: Turkeys 59 Poultry: Pigeons 61 Equines: Horses 62 Equines: Mules / Donkeys 71 Insects: Snails 72 Insects: Bees 81 Other: Specify 510 Poultry: Geese 511 Poultry: Other specify Did your household milk any livestock in the last 12 months? 223 1 2 2 2 1 Yes 2 No 223 For how many months on average were livestock milked in the past 12 months? 1 223 2 2 2 <NA> How many animals were milked on average per month? 1 223 4 4 4 <NA> 4 4 or more 1 What was the average quantity of milk milked per day from the livestock herd? 1 223 2 2 2 <NA> 2 2 or more 1 How much of raw milk collected did the household consume per week? 1 223 3 3 3 <NA> 3 3 or more 1 Did this household sell the raw milk of the livestock milked? 1 223 2 2 2 <NA> 1 Yes 2 No 1 How much of the raw milk did the household sell per week? 224 <NA> <NA> <NA> <NA> ENUMERATOR: RESPONDENT GIVING THE TOTAL VALUE OF EARNINGS OR THE UNIT PRICE 224 <NA> <NA> <NA> <NA> 1 Total Value 2 Unit Price How much did the household earn from selling the raw milk per week in total? 224 <NA> <NA> <NA> <NA> What was the average price per litre of raw millk sold in the past 12 months? 224 <NA> <NA> <NA> <NA> Survey sampling weight 224 10.832828711393 193.99241343826 57.505428106175 33.322038922646 Household identifier 442 Region 398 44 1 4 3.070351758794 0.84583756465279 1 South Eastern A 43 2 South Eastern B 3 North Central 241 4 North Western 114 5 Greater Montserrado 6 South Central Urban or Rural 422 20 1 2 1.8886255924171 0.31496862130632 1 Urban 47 2 Rural 375 Enumeration area code 442 1 178 63.660633484163 47.278043184953 Livestock type 442 51 81 51.776018099548 3.1611393909641 11 Large ruminants: Bulls 12 Large ruminants: Cows 13 Large ruminants: Steers/Heifers 14 Large ruminants: Calves - Males/Females 21 Small ruminants: Goats - He/She/Kids 22 Small ruminants: Sheep - Rams/Ewes/Lambs 23 Small ruminants: Rabbits 31 Camelids: Camels - He/She/Kids 41 Pigs: Pigs - Boar/Sow/Piglets 51 Poultry: Indigenous Chicken (Hens) 388 52 Poultry: Indigenous Chicken (Roster) 53 Poultry: Exotic Chicken (layers) 10 54 Poultry: Exotic Chicken (broilers) 55 Poultry: Pullets/DOCs 56 Poultry: Ducks 37 57 Poultry: Guinea Fowls 3 58 Poultry: Turkeys 59 Poultry: Pigeons 61 Equines: Horses 62 Equines: Mules / Donkeys 71 Insects: Snails 72 Insects: Bees 81 Other: Specify 4 510 Poultry: Geese 511 Poultry: Other specify Has any poultry raised by the household produced any eggs in the past 12 months? 442 1 2 1.289592760181 0.45408732489718 1 Yes 314 2 No 128 How many clutching periods did the poultry have on average in the last 12 months? 314 128 1 6 2.343949044586 1.0796601985625 How many eggs per clutching period did poultry lay on average? 314 128 1 40 12.624203821656 8.2143130850925 40 40 or more 18 How many poultry had their clutching period in the past 3 months? 314 128 6 2.359872611465 1.6129808839423 6 6 or more 25 Number of eggs laid consumed in the last clutching period by the household in the past 3 months? 293 149 12 1.6894197952218 3.511593909537 12 12 or more 16 Did this household sell the poultry eggs in the last 3 months? 314 128 1 2 1.9872611464968 0.11232433336448 1 Yes 4 2 No 310 How many of the eggs produced did your household sell in the last 3 months? 4 438 32 497373 124846.25 248351.92637113 497373 497,373 or more 1 ENUMERATOR: RESPONDENT GIVING THE TOTAL VALUE OF EARNINGS OR THE UNIT PRICE 4 438 2 2 2 1 Total Value 2 Unit Price 4 How much has the household earned by selling eggs in the past 3 months? 4 438 10 10 10 10 10 or more 4 Average unit price of the poultry eggs sold in the past 3 months? 4 438 10 10 10 Survey sampling weight 442 5.8915384219859 220.66637028602 62.047255211292 40.34053110208 Household identifier 1890 Region 1666 224 1 4 2.8613445378151 0.78994073151122 1 South Eastern A 217 2 South Eastern B 3 North Central 1246 4 North Western 203 5 Greater Montserrado 6 South Central Urban or Rural 1806 84 1 2 1.8410852713178 0.36569780969488 1 Urban 287 2 Rural 1519 Enumeration area code 1890 3 178 66.374074074074 51.454742636342 Product type 1890 1 7 4 2.0005293105822 1 Honey 270 2 Silkworm cocoons 270 3 Furs 270 4 Animal skins and hides 270 5 Animal dung 270 6 Animal power 270 7 Other specify 270 Household produced any product in the past 12 months using the farm's livestock? 1890 1 2 1.9962962962963 0.060761333838406 1 Yes 7 2 No 1883 How much product was produced in the past 12 months? 7 1883 1 240 36.285714285714 89.832648641264 Unit 7 1883 3 10 6 2.3094010767585 1 Kilograms (kg) 2 Liters (L) 3 Gallons (gal) 1 4 Pounds (lbs) 5 Pieces 3 6 25 KG BAG 1 7 50 KG BAG 8 Tin 1 9 Tub 10 Bucket 1 11 Bushel 12 Pan Did this household sell any product in the past 12 months? 7 1883 1 2 1.8571428571429 0.37796447300923 1 Yes 1 2 No 6 How much product was sold in the past 12 months? 1 1889 1 1 1 <NA> Unit 1 1889 2 2 2 <NA> 1 Kilograms (kg) 2 Liters (L) 1 3 Gallons (gal) 4 Pounds (lbs) 5 Pieces 6 25 KG BAG 7 50 KG BAG 8 Tin 9 Tub 10 Bucket 11 Bushel 12 Pan ENUMERATOR: RESPONDENT GIVING THE TOTAL VALUE OF EARNINGS OR THE UNIT PRICE 1 1889 2 2 2 <NA> 1 Total value 2 Unit Price 1 How much did this household earn by selling product in the past 12 months? 1890 <NA> <NA> <NA> <NA> What is the average unit price of product sold in the past 12 months? 1 1889 3500 3500 3500 <NA> Survey sampling weight 1890 7.4884905762635 193.99241343826 54.853573952575 31.785986783173 Household identifier 852 Region 691 161 1 4 3.123010130246 0.5928855242159 1 South Eastern A 28 2 South Eastern B 3 North Central 522 4 North Western 141 5 Greater Montserrado 6 South Central Urban or Rural 846 6 1 2 1.8628841607565 0.34417307234174 1 Urban 116 2 Rural 730 Enumeration area code 852 3 173 67.411971830986 52.170046444761 Did any household members practice aquaculture in the last 12 months? 852 1 1 1 1 Yes 852 2 No Type of specie 852 1 7 4.0246478873239 2.1419876100714 1 Nile Tilapia 137 2 Catfish 138 3 Heterotis niloticus 136 4 Other Fish 23 5 Crustaceans (Crawfish, Crab, lobster, etc.) 136 6 Clams / mollusks 138 7 Other specify 144 Did your household collect item in the past 12 months? 852 1 2 1.7453051643192 0.4359454529011 1 Yes 217 2 No 635 What is the total quantity of item collected in the past 12 months? 217 635 1 9999999 1198263.3341014 3254927.4252331 Unit 217 635 1 12 6.1059907834101 3.3503470052325 1 Kilograms (kg) 3 2 Pounds (lbs) 2 3 Pieces (individual fish) 76 4 Liters (L) (for small, uncounted quantities 5 Pieces 57 6 25 KG BAG 3 7 50 KG BAG 4 8 Tin 9 Tub 11 10 Bucket 36 11 Bushel 12 Pan 25 How much of the item collected was consumed by the household in the past 12 months? 217 635 9999999 1059950.8917051 3085360.4056878 Unit 197 655 1 12 6.2131979695431 3.537730799624 1 Kilograms (kg) 3 2 Pounds (lbs) 1 3 Pieces (individual fish) 72 4 Liters (L) (for small, uncounted quantities 5 Pieces 51 6 25 KG BAG 2 7 50 KG BAG 8 Tin 9 Tub 8 10 Bucket 28 11 Bushel 12 Pan 32 Did your household sell some of the item collected in the past 12 months? 217 635 1 2 1.7188940092166 0.45057850963353 1 Yes 61 2 No 156 How much of item did your household sell ? 61 791 0.5 9999999 328124.92213115 1795514.7866853 Unit 61 791 1 12 6.8360655737705 3.3125032219801 1 Kilograms (kg) 1 2 Pounds (lbs) 3 Pieces (individual fish) 16 4 Liters (L) (for small, uncounted quantities 1 5 Pieces 10 6 25 KG BAG 3 7 50 KG BAG 3 8 Tin 9 Tub 11 10 Bucket 8 11 Bushel 12 Pan 8 ENUMERATOR: RESPONDENT GIVING THE TOTAL VALUE OF EARNINGS OR THE UNIT PRICE 61 791 1 2 1.6065573770492 0.49256771191347 1 Total value 24 2 Unit price 37 What was the total amount earned from the sale of item in the past 12 months? 24 828 500 29850 8658.3333333333 9415.5129471512 29850 29,850 or more 2 What was the average unit price of the item sold in the past 12 months? 37 815 100 25000 2052.7027027027 4351.8027226584 Survey sampling weight 852 7.0959226830445 297.95127646716 55.17425263564 46.148085853245 Household identifier 690 Region 560 130 1 4 3.1339285714286 0.57521149123373 1 South Eastern A 20 2 South Eastern B 3 North Central 425 4 North Western 115 5 Greater Montserrado 6 South Central Urban or Rural 685 5 1 2 1.8613138686131 0.34587125667836 1 Urban 95 2 Rural 590 Enumeration area code 690 3 173 67.014492753623 51.868286004006 Worker category 690 1 5 3 1.4152394700614 1 Household members: adult males 138 2 Household members: adult females 138 3 Household members: children 138 4 Free/exchange workers 138 5 Hired worker 138 Workers involved in aquaculture activities in the past 12 months? 690 1 2 1.7623188405797 0.42597159470953 1 Yes 164 2 No 526 How many workers worked on acquaculture activities in the past 12 months? 164 526 1 6 1.8048780487805 1.3962177163383 6 6 or more 12 Days did a typical worker worked in the past 12 months? 164 526 1 99 12.274390243902 19.981993802247 Hours per day did a typical worker worked on aquaculture activities in the past 12 months? 164 526 1 9 3.7621951219512 2.1702472361435 Amount household paid in total to workers for aquaculture activities in the past 12 months? 5 685 300 86880 22916 37483.226648729 86880 86,880 or more 1 Survey sampling weight 690 7.0959226830445 297.95127646716 54.825971316729 45.297834028087 Household identifier 4633 Region 4506 127 1 6 3.1679982245894 0.86744363271321 1 South Eastern A 247 2 South Eastern B 24 3 North Central 3394 4 North Western 588 5 Greater Montserrado 72 6 South Central 181 Urban or Rural 4606 27 1 2 1.8936170212766 0.30836064042904 1 Urban 490 2 Rural 4116 Enumeration area code 4633 2 189 62.06583207425 49.361123290407 During the past 12 months have you or any member of your household caught fish, 4633 1 1 1 1 Yes 4633 2 No Does your holding keep records of its fishing production? 4633 1 2 1.9203539823009 0.2707736228063 1 Yes 369 2 No 4264 Fishing production 4633 1 3 1.9995683142672 0.8164964667859 1 Fish 1545 2 Crustaceans 1545 3 Clams / mollusks 1543 During the past 12 months did your household catch item? 4633 1 2 1.6125620548241 0.48721763187896 1 Yes 1795 2 No 2838 How many months did the household catch items in the past 12 months? 1658 2975 1 12 3.8920386007238 2.8625392407732 January 1658 2975 1 2 1.4939686369119 0.5001144626793 1 Yes 839 2 No 819 February 1658 2975 1 2 1.4047044632087 0.49098284614884 1 Yes 987 2 No 671 March 1658 2975 1 2 1.3992762364294 0.48989741359815 1 Yes 996 2 No 662 April 1658 2975 1 2 1.7020506634499 0.45749510040497 1 Yes 494 2 No 1164 May 1658 2975 1 2 1.7852834740651 0.41074943411591 1 Yes 356 2 No 1302 June 1658 2975 1 2 1.8232810615199 0.38154574841344 1 Yes 293 2 No 1365 July 1658 2975 1 2 1.8172496984318 0.38657827564606 1 Yes 303 2 No 1355 August 1658 2975 1 2 1.8094089264174 0.39288575426065 1 Yes 316 2 No 1342 September 1658 2975 1 2 1.7750301568154 0.41768844632912 1 Yes 373 2 No 1285 October 1658 2975 1 2 1.7038600723764 0.45669121421359 1 Yes 491 2 No 1167 November 1658 2975 1 2 1.6531966224367 0.47609611033599 1 Yes 575 2 No 1083 December 1658 2975 1 2 1.7406513872135 0.4384094368741 1 Yes 430 2 No 1228 How many days per month did your household catch item on average in the past 12 months? 1658 2975 1 31 10.417973462002 8.137077881272 How much item did the household collect on average on a typical fishing day? 1658 2975 0.25 9999999 241283.13465018 1534844.6323567 Unit 1658 2975 1 4 2.9499396863691 0.58488556564992 1 Kilograms (kg) 100 2 Pounds (lbs) 27 3 Pieces (individual fish) 1387 4 Liters (L) (for small, uncounted quantities 144 How much of the item fished did the household consume on a typical fishing day? 1658 2975 9999999 180953.35117008 1333317.9168556 Unit 1648 2985 1 4 2.9569174757282 0.53302651738084 1 Kilograms (kg) 83 2 Pounds (lbs) 22 3 Pieces (individual fish) 1426 4 Liters (L) (for small, uncounted quantities 117 Did household members sell any of the item fished on a typical/normal day? 1658 2975 1 2 1.891435464415 0.31118592981968 1 Yes 180 2 No 1478 How much of item did the household sell ? 180 4453 0.1 9999999 222343.11722222 1478148.8912991 Unit 180 4453 1 4 2.9 0.65245561076777 1 Kilograms (kg) 14 2 Pounds (lbs) 6 3 Pieces (individual fish) 144 4 Liters (L) (for small, uncounted quantities 16 What was the average unit price of the item sold last time? 180 4453 2 9999999 167675.01666667 1283632.96226 What is the total quantity of item fished in the past 12 months? 137 4496 1 9999999 365122.15328467 1882066.8324366 Unit 137 4496 1 4 3.0948905109489 0.69539675174376 1 Kilograms (kg) 9 2 Pounds (lbs) 3 Pieces (individual fish) 97 4 Liters (L) (for small, uncounted quantities 31 How much of the item fished in the past 12 months was consumed? 137 4496 9999999 292063.91970803 1689747.7249845 Unit 132 4501 1 4 3.0909090909091 0.67058759074657 1 Kilograms (kg) 8 2 Pounds (lbs) 3 Pieces (individual fish) 96 4 Liters (L) (for small, uncounted quantities 28 Did the household members sell any of the item collected? 137 4496 1 2 1.8540145985401 0.35438733349015 1 Yes 20 2 No 117 How much item did the household members sell ? 20 4613 3 9999999 501609.6 2235698.1650543 Unit 20 4613 1 4 2.9 0.71818484645961 1 Kilograms (kg) 2 2 Pounds (lbs) 3 Pieces (individual fish) 16 4 Liters (L) (for small, uncounted quantities 2 ENUMERATOR: RESPONDENT GIVING THE TOTAL VALUE OF EARNINGS OR THE UNIT PRICE 20 4613 1 2 1.55 0.51041778553404 1 Total value 9 2 Unit price 11 What was the total value of sales of item in the past 12 months? 9 4624 20 6011599 674952.11111111 2001262.9690105 6011599 6,011,599 or more 1 What was the average unit price of the item sales in the past 12 months? 11 4622 150 900 400 210.95023109729 Survey sampling weight 4633 5.8915384219859 662.73644714174 59.795937889776 46.045316000711 Household identifier 7725 Region 7510 215 1 6 3.167776298269 0.86578331680363 1 South Eastern A 410 2 South Eastern B 40 3 North Central 5660 4 North Western 980 5 Greater Montserrado 120 6 South Central 300 Urban or Rural 7680 45 1 2 1.8932291666667 0.30884177530838 1 Urban 820 2 Rural 6860 Enumeration area code 7725 2 189 62.053074433657 49.35224934821 DOES THE HOLDING KEEP RECORD OF THEIR FISHING ACTIVITIES? REFER TO SECTION 6A, Q 7725 1 2 1.8996763754045 0.30045046254347 1 Yes 775 2 No 6950 Worker category 7725 1 5 3 1.4143051061193 1 Household members: adult males 1545 2 Household members: adult females 1545 3 Household members: children 1545 4 Free/exchange workers 1545 5 Hired worker 1545 Worker involved in Fishing activities in the past 12 months? 7725 1 2 1.7650485436893 0.42399592098806 1 Yes 1815 2 No 5910 How many workers normally worked on fishing activities? 1623 6102 1 4 1.4467036352434 0.81943857071574 4 4 or more 82 How many months did a typical worker work on fishing activities in the past 12 months? 1623 6102 1 12 3.935921133703 2.8846863628094 How many days per month did a typical worker work on average in these months? 1623 6102 1 90 9.5369685767098 8.2488007530041 How many hours per day did a typical worker work on fishing activities? 1623 6102 1 10 3.9112754158965 1.9691241332039 How much do you pay to worker for a day of work? 7725 <NA> <NA> <NA> <NA> How many workers fished in the past 12 months? 192 7533 1 3 1.4375 0.69872733973128 3 3 or more 23 How many days did a typical worker work in the past 12 months? 192 7533 1 210 16.671875 27.985442001248 How many hours per day did a typical worker work on fishing activities? 192 7533 1 8 4.2239583333333 1.5542035411971 How much did the holding pay in total to the worker for working on fishing activities? 7725 <NA> <NA> <NA> <NA> Survey sampling weight 7725 5.8915384219859 662.73644714174 59.787683557995 46.036912831926 Household identifier 87787 Region 85855 1932 1 6 3.1607710674975 1.1577523028705 1 South Eastern A 7631 2 South Eastern B 4135 3 North Central 57675 4 North Western 7561 5 Greater Montserrado 920 6 South Central 7933 Urban or Rural 87350 437 1 2 1.9017286777333 0.29768285803791 1 Urban 8584 2 Rural 78766 Enumeration area code 87787 1 189 63.41787508401 50.140362602292 During the past 12 months have you or any member of your household collected any 87787 1 1 1 1 Yes 87787 2 No Forest products 87787 1 23 11.999396265962 6.6332298041547 1 Firewood 3818 2 Other woods 3817 3 Coconuts 3816 4 Jackfruit 3817 5 Chayote Squash (xuxu, pimpinela) 3817 6 Mushrooms 3817 7 Honey 3818 8 Palmwine 3817 9 Ornamental flowers 3818 10 Medicinal plants 3818 11 Tea leaves 3816 12 Snails 3818 13 Baboon Worm 3816 14 Chewing Sticks 3816 15 Melequeta Pepper 3818 16 Baboon and Ratten 3817 17 Monkey Apple 3815 18 Xylopia 3816 19 Wild birds (pheasant, bats, quail, etc) 3815 20 Wild pigs 3817 21 Sand 3818 22 Rocks, stone, mud 3816 23 Other specify 3816 During the past 12 months did your household collect product? 87787 1 2 1.927267135225 0.2596989861749 1 Yes 6385 2 No 81402 How many months did the household collect product in the past 12 months? 6385 81402 1 12 7.4012529365701 4.4363711981019 How many days per month did your household collect product on average? 6385 81402 1 31 10.191386061081 8.8119817453089 On a typical day , how much product is collected by the household? 6385 81402 0.5 9999999 97112.653876273 980686.19264233 Unit 6385 81402 1 17 6.0512137823023 4.2478848690214 1 Kilograms (kg) 16 2 Pieces (individual items) 1298 3 Liters (L) 303 4 Baskets 47 5 Bundles 2770 6 Bunches 830 7 Square meters (m²) 1 8 Tons (metric tons) 2 9 Cubic meters (m³) 10 Bottles 244 11 25 KG BAG 101 12 50 KG BAG 9 13 Tin 69 14 Tub 16 15 Bucket 121 16 Bushel 6 17 Pan 552 On a typical day , how much of the product was used by the household? 6385 81402 9999999 95543.617927956 972822.48199108 Unit 6266 81521 1 17 5.1476220874561 4.2047070034301 1 Kilograms (kg) 17 2 Pieces (individual items) 2379 3 Liters (L) 321 4 Baskets 28 5 Bundles 2085 6 Bunches 587 7 Square meters (m²) 1 8 Tons (metric tons) 9 Cubic meters (m³) 10 Bottles 197 11 25 KG BAG 50 12 50 KG BAG 9 13 Tin 24 14 Tub 5 15 Bucket 62 16 Bushel 6 17 Pan 495 Did the household sell any of the product collected? 6385 81402 1 2 1.9141738449491 0.28012910642134 1 Yes 548 2 No 5837 How much of the product collected on a typical day was sold? 548 87239 0.3 9999999 182521.92242701 1339693.2898067 Unit 548 87239 1 17 6.5109489051095 5.043310465435 1 Kilograms (kg) 7 2 Pieces (individual items) 125 3 Liters (L) 161 4 Baskets 5 5 Bundles 39 6 Bunches 12 7 Square meters (m²) 8 Tons (metric tons) 1 9 Cubic meters (m³) 10 Bottles 49 11 25 KG BAG 40 12 50 KG BAG 2 13 Tin 45 14 Tub 2 15 Bucket 27 16 Bushel 17 Pan 33 What is the average unit price of product? 548 87239 5 36000 1118.0127737226 2913.1656066479 Survey sampling weight 87787 5.8915384219859 662.73644714174 59.456825610754 43.045140818281 Household identifier 5674 Region 5530 144 1 6 3.1365280289331 1.0772244952464 1 South Eastern A 444 2 South Eastern B 244 3 North Central 3864 4 North Western 466 5 Greater Montserrado 115 6 South Central 397 Urban or Rural 5638 36 1 2 1.8492373181979 0.35784914223487 1 Urban 850 2 Rural 4788 Enumeration area code 5674 1 189 62.338209376102 49.945621718951 Any household member(s) produced any charcoal for either your own use or sale? 5674 1 2 1.8283397955587 0.3771180763599 1 Yes 974 2 No 4700 How much charcoal was produced by the household in the last 12 months? 972 4702 23 9233 2582.4448559671 2564.0566171171 9233 9,233 or more How much of the charcoal produced was also used by the household? 555 5119 1150 206.99963963964 273.11244097447 1150 1,150 or more Did the household sell any of the charcoal produced in the last 12 months? 974 4700 1 2 1.070841889117 0.25669235618832 1 Yes 905 2 No 69 How much of the charcoal produced in the last 12 months was sold? 905 4769 26.8 9200 2602.4857458564 2508.7626361412 9200 9,200 or more ENUMERATOR: RESPONDENT GIVING THE TOTAL VALUE OF SALES OR THE UNIT PRICE 905 4769 1 2 1.8353591160221 0.37106118494484 1 Total value 149 2 Unit price 756 Amount the household earned in total from selling charcoal in the past 12 months? 149 5525 1500 3000000 56315.691275168 246615.87134424 What was the average price kilogram of charcoal sold in the past 12 months? 905 4769 7 30 18.062983425414 4.1821642395409 Survey sampling weight 5674 5.8915384219859 662.73644714174 61.33247832415 51.047590712257 Household identifier 20095 Region 19630 465 1 6 3.1676006113092 1.1450997558968 1 South Eastern A 1680 2 South Eastern B 910 3 North Central 13255 4 North Western 1785 5 Greater Montserrado 225 6 South Central 1775 Urban or Rural 19975 120 1 2 1.8948685857322 0.30673035399999 1 Urban 2100 2 Rural 17875 Enumeration area code 20095 1 189 63.187360039811 49.969927051256 Worker category 20095 1 5 3 1.4142487518816 1 Household members: adult males 4019 2 Household members: adult females 4019 3 Household members: children 4019 4 Free/exchange workers 4019 5 Hired worker 4019 Worker worked to collect forest / wild products or produce charcoal in the past 12 months? 20095 1 2 1.7277432197064 0.44513243668105 1 Yes 5471 2 No 14624 How many workers normally worked on these forestry activities? 5471 14624 1 5 1.6949369402303 1.1183895572161 5 5 or more How many months did a typical worker work on these forestry activities in the past 12 months? 5471 14624 1 12 6.9990860902943 4.3925521856799 How many days per month did a typical worker work on average during these months? 5471 14624 1 26 11.666240175471 8.0589754267386 Hours per day a typical worker collected forest products or produced charcoal? 5471 14624 1 10 3.7331383659294 2.33142360313 How much did your household pay worker for a day of work? 115 19980 1 1500 487.02608695652 345.53986392183 1500 1,500 or more 7 Survey sampling weight 20095 5.8915384219859 662.73644714174 60.07818487094 43.950259312659 Household identifier 90784 Region 88480 2304 1 6 3.1365280289331 1.0771331794973 1 South Eastern A 7104 2 South Eastern B 3904 3 North Central 61824 4 North Western 7456 5 Greater Montserrado 1840 6 South Central 6352 Urban or Rural 90208 576 1 2 1.8492373181979 0.35781938866644 1 Urban 13600 2 Rural 76608 Enumeration area code 90784 1 189 62.338209376102 49.941495311611 Item/Service 90784 1 16 8.5 4.6097976175383 1 Animal traction rental (e.g. to prepare land) 5674 2 Post-harvest labor (e.g. for Shelling, Peeling, Drying, Cleaning or Processing , etc) 5674 3 Transport related to agricultural activities (e.g. transport crop to market, transport to buy inputs) 5674 4 Rentals or leasing of machinery, equipment, or vehicles related to agricultural acitivities (exclude transport costs) 5674 5 Repairs and maintenance of machinery, equipment, and vehicles 5674 6 Fuel and lubricants for agricultural machinery, equipment, and vehicles 5674 7 Rentals or leasing of farm buildings 5674 8 Repairs and maintenance of farm buildings and fences 5674 9 Agricultural insurance 5674 10 Agricultural advisory services (e.g. government extension services) 5674 11 Water for crop cultivation (including irrigation fees) 5674 12 Electricity use related to agricultural activities (including processing of crops) 5674 13 Taxes and licensing fees related to agricutural activities (e.g. land taxes, certification fees) 5674 14 Contractual services for agricultural activities [exclude these costs from items above) 5674 15 Hired workers for simple and routine tasks on the holding 5674 16 Other specify 5674 Did your household pay for service? 90784 1 2 1.9711072435671 0.16750604205477 1 Yes 2623 2 No 88161 What was the total amount paid for the service? 2623 88161 50000 11688.185665269 14141.166266454 50000 50,000 or more 143 What period of time does this payment cover? 2623 88161 1 312 3.6191383911552 17.110189612581 Unit 2623 88161 1 5 2.6462066336256 1.1710465496126 1 Year 542 2 Month 658 3 Day 751 4 Agriculture Season 530 5 Week 142 Survey sampling weight 90784 5.8915384219859 662.73644714174 61.33247832415 51.043373262444 Household identifier 5674 Region 5530 144 1 6 3.1365280289331 1.0772244952464 1 South Eastern A 444 2 South Eastern B 244 3 North Central 3864 4 North Western 466 5 Greater Montserrado 115 6 South Central 397 Urban or Rural 5638 36 1 2 1.8492373181979 0.35784914223487 1 Urban 850 2 Rural 4788 Enumeration area code 5674 1 189 62.338209376102 49.945621718951 Any household member received a Cash subsidy for agricultural purpose? 5674 1 2 1.9829044765597 0.12963883866514 1 Yes 97 2 No 5577 What was the value of Cash subsidy received? 96 5578 39250 9891.875 10804.345160263 39250 39,250 or more 5 Any household member received a Voucher for agricultural purpose? 5674 1 2 1.9994712724709 0.022990022350899 1 Yes 3 2 No 5671 What was the value of Voucher received? 3 5671 6000 20000 13666.666666667 7094.5988845976 Fuel 5674 2 2 2 1 Yes 2 No 5674 Seeds 5674 1 2 1.9948889672189 0.071314840393228 1 Yes 29 2 No 5645 Fertilisers 5674 2 2 2 1 Yes 2 No 5674 Other specify 5674 1 2 1.9992950299612 0.0265442505263 1 Yes 4 2 No 5670 None of the above 5674 1 2 1.0058160028199 0.07604732852696 1 Yes 5641 2 No 33 What quantity of subsidized Seeds did your holding purchase? 29 5645 1 1505 186.37931034483 428.09439995279 1505 1,505 or more 2 What was the subsidized unit price of Seeds? ($) 29 5645 2 9999999 347521.75862069 1856437.7065092 How much did your holding spend on subsidized Seeds? 26 5648 5 10000 3890.5769230769 2973.5582479323 10000 10,000 or more 3 What quantity of subsidized Other specify did your holding purchase? 4 5670 2 9999999 2500501.25 4999665.2552951 What was the subsidized unit price of Other specify? ($) 4 5670 25 30000 8943.75 14289.045556533 How much did your holding spend on subsidized Other specify? 4 5670 100 9999999 2513274.75 4991201.8971403 Any household member received a tax break for agricultural purpose? 5674 1 2 1.9994712724709 0.022990022350899 1 Yes 3 2 No 5671 What was the value of the tax break received? 3 5671 3500 30000 13833.333333333 14180.385514271 Any household member taken any cash or in-kind loan for agricultural purposes? 5674 1 2 1.8649982375749 0.34175557221633 1 Yes 766 2 No 4908 What was the total amount received? ($) cash 765 4909 60000 20387.477124183 16710.496537895 60000 60,000 or more 50 What was the total amount received? ($) in-kind 764 4910 40000 7735.0876963351 11821.461431827 40000 40,000 or more 45 Who was the main loan provider? 766 4908 1 99 5.5274151436031 10.268482414045 1 PUBLIC BANKS OR OTHER GOV INSTITUTIONS 6 2 COMMERCIAL BANKS OR INSURANCE COMPANY 7 3 MICROFINANCE INSTITUTIONS OR NGOS????? 96 4 VILLAGE SAVING LOANS ASSOCIATIONS(VSLA) 450 5 PRODUCTION COOPERATIVES 6 6 PRIVATE MONEY LENDER 143 7 FRIENDS OR FAMILY - LIVING IN THE COUNTRY 45 8 FRIENDS OR FAMILY - LIVING ABROAD 4 99 OTHER (SPECIFY) 9 Pay for laborers 766 4908 1 2 1.097911227154 0.29738876200894 1 Yes 691 2 No 75 Purchase seeds, fertilizers agrochemicals 766 4908 1 2 1.8041775456919 0.397091767359 1 Yes 150 2 No 616 Buy or repair farm equipment, machinery or buildings 766 4908 1 2 1.9621409921671 0.19097989071448 1 Yes 29 2 No 737 Draught power 766 4908 2 2 2 1 Yes 2 No 766 Purchase animals 766 4908 1 2 1.9934725848564 0.080580921242825 1 Yes 5 2 No 761 Purchase animal inputs 766 4908 1 2 1.9934725848564 0.080580921242825 1 Yes 5 2 No 761 Aquacuture 766 4908 1 2 1.9947780678851 0.072121106132158 1 Yes 4 2 No 762 Apiculture (bee keeping) 766 4908 1 2 1.9986945169713 0.036131468676496 1 Yes 1 2 No 765 Trading produce 766 4908 1 2 1.9660574412533 0.18119968212104 1 Yes 26 2 No 740 Purchase land 766 4908 1 2 1.9986945169713 0.036131468676496 1 Yes 1 2 No 765 Other specify 766 4908 1 2 1.9125326370757 0.28270330571847 1 Yes 67 2 No 699 Who in the household was responsible for negotiating the largest loan taken? 5674 Who in the household was responsible for negotiating the largest loan taken? 766 4908 1 22 1.6801566579634 3.1503995765246 Who in the household was responsible for negotiating the largest loan taken? 214 5460 2 21 2.2990654205607 1.5025171572753 Who in the household was responsible for negotiating the largest loan taken? 10 5664 3 6 3.7 1.0593499054714 Who in the household was responsible for negotiating the largest loan taken? 2 5672 4 8 6 2.8284271247462 Did not request 4908 766 1 2 1.2870823145884 0.45244642582102 1 Yes 3499 2 No 1409 Request was refused 4908 766 1 2 1.9757538712306 0.15382807070411 1 Yes 119 2 No 4789 Impossible to request, no access 4908 766 1 2 1.671760391198 0.46962038231843 1 Yes 1611 2 No 3297 Investment activitiy not accepted 4908 766 1 2 1.9969437652812 0.05520430305929 1 Yes 15 2 No 4893 Not enough income5 4908 766 1 2 1.9718826405868 0.16532496015351 1 Yes 138 2 No 4770 Bad credit history 4908 766 1 2 1.9987775061125 0.034946362104046 1 Yes 6 2 No 4902 Inadequate collateral 4908 766 1 2 1.9873675631622 0.11169333116817 1 Yes 62 2 No 4846 Other specify 4908 766 1 2 1.9908312958435 0.095323084212215 1 Yes 45 2 No 4863 Has the HH repaid any cash or in-kind loan taken for agricultural purposes? 5674 1 2 1.9041240747268 0.29444696004153 1 Yes 544 2 No 5130 What was the total amount repaid? ($) cash 543 5131 60000 17488.130755064 15788.002245488 60000 60,000 or more 32 What was the total amount repaid? ($) in-kind 542 5132 30741 5918.1088560886 9134.1477537731 30741 30,741 or more 28 Any HH member received a transfer in cash or in-kind for agricultural purposes? 5674 1 2 1.9492421572083 0.21952215676182 1 Yes 288 2 No 5386 Government 288 5386 2 2 2 1 Yes 2 No 288 Development partners/ngos 288 5386 1 2 1.9826388888889 0.13084014829451 1 Yes 5 2 No 283 Individuals (e.g., relatives, friends) 288 5386 1 2 1.0069444444444 0.083188026625869 1 Yes 286 2 No 2 Other specify 288 5386 1 2 1.9895833333333 0.10170583392831 1 Yes 3 2 No 285 Total amount received from Goverment? Cash 5674 <NA> <NA> <NA> <NA> Total amount received from Goverment? In-kind 5674 <NA> <NA> <NA> <NA> Total amount received from Development partners/NGOs? Cash 5 5669 15000 21000 16200 2683.2815729997 Total amount received from Development partners/NGOs? In-kind 5 5669 Total amount received from Individuals (e.g., relatives, friends)? Cash 286 5388 15000 52.447552447552 886.96859398362 Total amount received from Individuals (e.g., relatives, friends)? In-kind 286 5388 100 0.36013986013986 5.913382264401 Total amount received from Other (specify) Cash 3 5671 500 25000 11833.333333333 12352.462642459 Total amount received from Other (specify) In-kind 3 5671 Who in the household was responsible for managing the largest transfer received? 5674 Who in the household was responsible for managing the largest transfer received? 288 5386 1 11 1.2743055555556 0.75438292181202 Who in the household was responsible for managing the largest transfer received? 45 5629 2 9 2.3333333333333 1.2060453783111 Who in the household was responsible for managing the largest transfer received? 4 5670 3 4 3.5 0.57735026918963 Who in the household was responsible for managing the largest transfer received? 1 5673 4 4 4 <NA> Who in the household was responsible for managing the largest transfer received? 1 5673 5 5 5 <NA> Survey sampling weight 5674 5.8915384219859 662.73644714174 61.33247832415 51.047590712257