FJI_2007-2009_SES-PROCFISH_v01_EN_M_v01_A_OCS DDI_FJI_2007-2009_SES-PROCFISH_v01_EN_M_v01_A_OCS_FAO Office of Chief Statistician Statistics for Development Division Nesstar Publisher FJI_2007-2009_SES-PROCFISH_v01_EN_M_v01_A_OCS_v01 Socio-Economic Survey PROC-Fish/C 2007-2009 SES PROC-Fish 2007-2009 FJI_2007-2009_SES-PROCFISH_v01_EN_M_v01_A_OCS Coastal Fisheries Programme Reef Fisheries Observatory Ministry of Fisheries and Forests University of the South Pacific Nesstar Publisher European Development Fund Coastal Fisheries Programmes Socio-Economic/Monitoring Survey [hh/sems] Socio-Economic Fisheries Finfish Invertebrates Consumption Subsistence Gift Sale Fishing techniques Habitat Fiji Regional Coverage. Households The survey covered de jure household members. All household members responding to the "Finfishers" and "Invertebrate fishers" questionnaires must be aged 15 years and over and must be living in the household surveyed. Sample survey data [ssd] Face-to-face paper [f2f] incorporating demographics, selected socioeconomic parameters and consumption patterns; - Survey of fishers (finfish and invertebrate) => incorporating data by habitat and/or specific fishery; - A general questionnaire targeting key informants => the purpose of which is to assess the overall characteristics of the site's fisheries; - Finfish and invertebrate marketing questionnaires => that target agents, middlemen or buyers/sellers (shops and markets). In addition to the questionnaires, two sets of size charts are provided to help assess the weight of fish and invertebrates caught and consumed. This is necessary as most village fishers do not use kilograms but local units of measure (heaps, plastic bags, strings, baskets, etc.), which are difficult to translate into kilogram weights. Data collection is performed using a standard set of questionnaires developed by PROCFish/C’s socioeconomic component, which include a household survey (key socioeconomic parameters and consumption patterns), finfish fisheries survey, invertebrate fisheries survey, marketing of finfish survey, marketing of invertebrates survey, and general information questionnaire (for key informants). In addition, further observations and relevant details are noted and recorded in a non-standardised format. Questionnaires are fully structured and closed, although open questions may be added on a case-to-case situation.]]> "Pacific Community's Coastal Fisheries Programme, Fiji PROCFish/C - Socio-Economic survey 2007-2009 (SE-PROCFISH 2007), Version 01 of the public-use dataset (2009), provided by the Microdata Library. https://microdata.pacificdata.org/index.php/home" Public use file, accessible to all. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. SPC_FJI_2007_SEprocfish_Households_v01_PUF.NSDstat This file is the "Household" dataset of the 2007-2009 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Fiji Islands. It contains information collected using the "Household Census and Consumption Survey" form. 66 56 Nesstar 200801 Coastal Fisheries Programme (SPC). Version 01: This is the final, clean, labelled and anonymized version of the Master file. SPC_FJI_2007_SEprocfish_FinfishF_v01_PUF.NSDstat This file is the "Finfish Fishers" dataset of the 2007-2009 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Fiji Islands. It contains information collected using the "Fishing (Finfish) and Marketing Survey" form. 114 118 Nesstar 200801 Coastal Fisheries Programme (SPC). Version 01: This is the final, clean, labelled and anonymized version of the Master file. SPC_FJI_2007_SEprocfish_InvertebrateF_v01_PUF.NSDstat This file is the "Invertebrate Fishers" dataset of the 2007-2009 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Fiji Islands. It contains information collected using the "Invertebrate Fishing and Marketing Survey" form. 165 79 Nesstar 200801 Coastal Fisheries Programme (SPC). Version 01: This is the final, clean, labelled and anonymized version of the Master file. SPC_FJI_2007_SEprocfish_Sites_v01_PUF.NSDstat This file is the "Sites" dataset of the 2007-2009 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Fiji Islands. It contains information collected throughout all the questionnaire forms concerning the different sites that were surveyed in Fiji (Muaivuso and Dromuna on Viti Levu, and Lakeba and Mali on Vanua Levu). 4 93 Nesstar 200801 Coastal Fisheries Programme (SPC). Version 01: This is the final, clean, labelled and anonymized version of the Master file. Site 66 0 1 4 1 Dromuna 15 2 Lakeba 20 3 Mali 16 4 Muaivuso 15 Household Code 66 0 Date 66 Number of people in the Household How many people ALWAYS live in your household? 66 0 2 14 5.818 2 2 3 9 4 8 5 12 6 14 7 8 8 6 9 2 10 3 11 1 14 1 1st Income in cash - Fishing (rank options, 1 = most money, 2 = second important income source, 3 = 3rd important income source, 4 = 4th important income source) 66 0 0 1 0 No 20 1 Yes 46 1st Income in cash - Agriculture (rank options, 1 = most money, 2 = second important income source, 3 = 3rd important income source, 4 = 4th important income source) 66 0 0 1 0 No 63 1 Yes 3 1st Income in cash - Salary (rank options, 1 = most money, 2 = second important income source, 3 = 3rd important income source, 4 = 4th important income source) 66 0 0 1 0 No 57 1 Yes 9 1st Income in cash - Other (rank options, 1 = most money, 2 = second important income source, 3 = 3rd important income source, 4 = 4th important income source) 66 0 0 1 0 No 58 1 Yes 8 2nd Income in cash - Fishing (rank options, 1 = most money, 2 = second important income source, 3 = 3rd important income source, 4 = 4th important income source) 66 0 0 1 0 No 50 1 Yes 16 2nd Income in cash - Agriculture (rank options, 1 = most money, 2 = second important income source, 3 = 3rd important income source, 4 = 4th important income source) 66 0 0 1 0 No 56 1 Yes 10 2nd Income in cash - Salary (rank options, 1 = most money, 2 = second important income source, 3 = 3rd important income source, 4 = 4th important income source) 66 0 0 1 0 No 64 1 Yes 2 2nd Income in cash - Other (rank options, 1 = most money, 2 = second important income source, 3 = 3rd important income source, 4 = 4th important income source) 66 0 0 1 0 No 53 1 Yes 13 Household gets remittance Do you get remittances? 66 0 0 1 0 No 51 1 Yes 15 Amount (USD) of remittance How much? (enter amount) Every time? 66 0 0 3550.8 167.523 Average household expenditure in cash (USD) How much CASH money do you use on average for household expenditures (food, fuel for cooking, school bus, etc.)? 66 0 0 3085.817 1146.089 Extrapolated yearly consumption in Kg for an adult male in the HH - Fresh fish 66 0 25.162 171.437 74.001 Extrapolated yearly consumption in Kg for an adult male in the HH - Canned fish 66 0 0 12.058 2.366 Extrapolated yearly consumption in Kg for an adult male in the HH - Invertebrate 66 0 0.851 90.105 9.678 Frequency - Consumption of fresh fish 66 0 2 4 3.197 Frequency - Consumption of seafood 66 0 0.5 6 2.114 Frequency - Consumption of canned fish 66 0 0 2 0.472 Number of Male in the HH - Fishing finfish (exclusively) 66 0 0 2 0.318 0 47 1 17 2 2 Number of Female in the HH - Fishing finfish (exclusively) 66 0 0 1 0.0152 0 65 1 1 Number of Male in the HH - Fishing invertebrate (exclusively) 66 0 0 0 0 0 66 Number of Female in the HH - Fishing invertebrate (exclusively) 66 0 0 2 0.242 0 52 1 12 2 2 Number of Male in the HH - Fishing both finfish and invert. 66 0 0 3 1.03 0 9 1 47 2 9 3 1 Number of Female in the HH - Fishing both finfish and invert. 66 0 0 3 0.864 0 14 1 48 2 3 3 1 Number of Male in the HH - Fishers 66 0 0 3 1.348 0 2 1 43 2 17 3 4 Number of Female in the HH - Fishers 66 0 0 3 1.121 0 2 1 55 2 8 3 1 Number of fishers in the HH How many fishers live in your household? 66 0 0 5 2.47 0 1 1 2 2 39 3 14 4 9 5 1 Number of canoes owned by the HH 66 0 0 0 0 0 66 Number of sailboats owned by the HH 66 0 0 0 0 0 66 Number of motorboats owned by the HH 66 0 0 2 0.455 0 37 1 28 2 1 Number of boats owned by the HH Does this household own a boat? 66 0 0 2 0.455 0 37 1 28 2 1 Main Source of Fish - Caught 66 0 1 1 0 No 0 1 Yes 66 Main Source of Fish - Given 66 0 0 0 0 No 66 1 Yes 0 Main Source of Fish - Bought 66 0 0 0 0 No 66 1 Yes 0 2nd Source - Fish - Caught 66 0 0 0 0 No 66 1 Yes 0 2nd Source - Fish - Given 66 0 0 1 0 No 55 1 Yes 11 2nd Source - Fish - Bought 66 0 0 1 0 No 64 1 Yes 2 3rd Source - Fish - Caught 66 0 0 0 0 No 66 1 Yes 0 3rd Source - Fish - Given 66 0 0 1 0 No 65 1 Yes 1 3rd Source - Fish - Bought 66 0 0 1 0 No 61 1 Yes 5 Main Source of Invertebrate - Caught 66 0 0 1 0 No 1 1 Yes 65 Main Source of Invertebrate - Given 66 0 0 0 0 No 66 1 Yes 0 Main Source of Invertebrate - Bought 66 0 0 0 0 No 66 1 Yes 0 2nd Source - Invertebrate - Caught 66 0 0 0 0 No 66 1 Yes 0 2nd Source - Invertebrate - Given 66 0 0 1 0 No 61 1 Yes 5 2nd Source - Invertebrate - Bought 66 0 0 0 0 No 66 1 Yes 0 3rd Source - Invertebrate - Caught 66 0 0 0 0 No 66 1 Yes 0 3rd Source - Invertebrate - Given 66 0 0 0 0 No 66 1 Yes 0 3rd Source - Invertebrate - Bought 66 0 0 0 0 No 66 1 Yes 0 Nb people having achieved - Primary 66 0 0 4 1.197 0 28 1 7 2 23 3 6 4 2 Nb people having achieved - Secondary 66 0 0 6 1.909 0 11 1 9 2 32 3 6 4 6 5 1 6 1 Nb people having achieved - Tertiary 66 0 0 2 0.167 0 57 1 7 2 2 Unique Household ID 66 0 1 02101EE9-6178-429E-A79B-A90B4584BAFA 2 046AC23D-DA61-4960-90BD-A814E26D85A2 3 04D32A30-7A5E-4875-9F3A-25051C8797B8 4 05B857EE-0098-43B2-A239-3C47FF69FCD5 5 0C461919-39C1-4BD4-AA08-8AEDCB676690 6 0DEB1AA7-3D79-4569-8A7C-05CE5F45ED38 7 1AE5A419-3D5F-4721-AD1D-FC2C69753206 8 1EA03B85-0BBE-468E-A2D2-9859E0862E04 9 20CE3C52-A779-4068-B2AE-B4F8D95E8369 10 2581DADF-56F8-4709-805A-C7305EA6C7D0 11 2847B3D0-9C25-4138-B006-06D45F7AE2A8 12 291845BB-09C8-4539-BFC6-124567C9A2B9 13 2F5E313A-8627-4214-9CF9-4C9D27C69B3F 14 34CECD73-A31A-40D0-9969-1CFF1AEE9E03 15 36E2174C-5B69-4F50-94E7-657235F91409 16 3F114FB2-DCCE-4D58-AF01-39A435FC16C4 17 498DC492-8147-4DDF-85AB-0FE94E162F4A 18 4B85EBBE-0309-471B-897D-C35FF17BC6E4 19 4E027CE1-A196-4839-A342-226582C75556 20 614C93CC-5AEA-4C3D-8367-D109CE1A977B 21 61E1883A-57C4-4542-B696-CC8140692C8B 22 63F5A0AB-29CD-4772-A869-A0E1023AC2BD 23 676A743A-1875-4EAE-B099-934F8FD949A6 24 70D5068E-CAE8-452D-A98B-432597D5F59A 25 71AE3CBF-9BB5-43F1-98A2-419557082D6E 26 75EA2F98-1B56-4873-AE19-0DA2D4420095 27 763161FA-B534-457A-9ADD-714B7FA65C8C 28 788B9A0E-6196-419D-8182-56373E2A6989 29 7AF1007D-0000-4D6B-982B-7D29ABA59D08 30 7CE62099-AA3B-44FC-B235-5FE766A4F022 31 80E8A5E4-3333-481D-8CD7-4FEA288F4AE7 32 86325B21-9D5F-4FEC-AE20-97ED6C11A76B 33 86F1B8B1-C12A-4AC7-869E-2A31619E0FE9 34 8D25FD04-6A7B-4CB7-BC45-C78E9C2252B8 35 945D6118-D7B0-4937-86E2-7ECBB20B5231 36 95F0D449-3BF1-443A-B56D-16FA35FDD463 37 966DA235-B09B-4490-AEB0-7FDE178A91DB 38 9C6DF690-8A8E-4205-9683-3505BC40F149 39 9C7DFB94-DA7E-4ACF-8005-13A2D3DF5CC4 40 A2C8645E-D38F-4279-AD45-3D36F826393A 41 A3AE97F0-22CE-4860-9674-FCD5619BED8C 42 A41AD91B-CDBF-4290-B327-E9458F5947FF 43 AD558027-606C-444E-B2EE-1D079D7FEAD8 44 AF957104-5268-4E86-9A65-9250ACCD13AC 45 B3C438C6-D8A1-4383-943E-7351D7739DF5 46 B611DDF5-EE85-4609-805C-BE39E8DD2C26 47 B82341F5-79A6-4B25-A6B8-22240518EBF9 48 BDE48823-66A1-4984-AB70-D3EBAF260DCC 49 BE6E9E8E-EC30-4AA3-B979-624D8D9F2450 50 C83D651D-3897-4347-9709-5F81727A1DC8 51 C900778A-2BA6-4E33-959E-19ECFAC1FD8E 52 D5E53144-CAB3-448A-953F-9023A18BFC47 53 D9313151-DA97-435F-BC3C-B773D5C5EFB8 54 DADA3374-B342-459E-A425-33B382EB4E3C 55 DC3B7B0F-9289-4FBF-85B1-EDEFA670C81B 56 DD49B2E5-BED1-4073-94D2-9D9CBC506F98 57 DE606AD2-03EE-45AB-BDD0-76D1B260C318 58 DF07EA82-5885-4785-B750-9CEF0B95648B 59 DFF5231E-C69B-4E5D-B404-8553072BAB20 60 E7C70876-5513-4D88-A2ED-672DA12D8167 61 E84F9454-806A-47B1-804A-314AE995FBAB 62 E8731E7A-AFAC-4AE4-8363-91435C74004B 63 F2D46D54-2AF2-4E8C-B55D-99FFEDDD4F36 64 F360DE0D-284A-4210-A1C8-6C38C607F323 65 F567FCE3-49F8-4B10-8A81-4B4FBF20D442 66 F6A50B41-6376-425A-860A-36D5F225DBB4 Site 114 0 1 4 1 Dromuna 32 2 Lakeba 28 3 Mali 28 4 Muaivuso 26 Household code 114 0 Gender of fisher 114 0 1 2 1 Male 81 2 Female 33 Habitat - Coastal 114 0 0 1 0 No 48 1 Yes 66 Habitat - Lagoon 114 0 0 1 0 No 19 1 Yes 95 Habitat - Outer reef 114 0 0 1 0 No 68 1 Yes 46 Habitat - Passe 114 0 0 1 0 No 106 1 Yes 8 Habitat - Magrove 114 0 0 0 0 No 114 1 Yes 0 Habitat combination Which areas do you fish? 114 0 1 5 1 Coastal reef+Lagoon 66 2 Lagoon 2 3 Lagoon+Outer reef 27 4 Outer reef 11 5 Outer reef+Pelagic 8 Average catch per trip (kg) What is your average catch (kg) per trip? 114 0 3.176 14.331 6.871 Kept catch (kg) How much of your usual catch do you keep for family consumption? 114 0 0.598 5.85 2.99 Given catch (kg) and the rest you gift? 114 0 0 4.348 0.615 Sold catch (kg) and/or sell? How much? 114 0 0 10.362 3.275 Fish for family consumption Do you use your catch for family consumption? 114 0 1 1 0 No 0 1 Yes 114 Give fish as a gift Do you give fish as a gift (for no money)? 114 0 0 1 0 No 68 1 Yes 46 Sell fish Do you sell fish? 114 0 0 1 0 No 38 1 Yes 76 Fishing time - Daytime 114 0 1 1 0 No 0 1 Yes 114 Fishing time - Night 114 0 0 1 0 No 33 1 Yes 81 Fishing time WHEN do you go fishing? 114 0 1 3 1 Day 33 2 Night 0 3 Day and Night 81 Yearly hours What time do you spend fishing this habitat per average trip? 114 0 86.857 1042.286 326.34 Recoded variable. Fishing months Do you go all year? 114 0 12 12 12 12 114 Recoded variable Trips per week How often (days/week) do you fish in each of the habitats visited? 114 0 0.69 4 1.831 Time spent fishing (in month) How often (days/week) do you fish in each of the habitats visited? 114 0 2 10 4.206 Recoded variable Boat use - Always 114 0 0 1 0 No 81 1 Yes 33 Boat use - Sometimes 114 0 0 1 0 No 33 1 Yes 81 Boat use - Never 114 0 0 0 0 No 114 1 Yes 0 Boat use Do you use a boat for fishing? 114 0 1 2 1 Always 33 2 Sometimes 81 3 Never 0 4 NULL 0 Preservation method - Ice - Always 114 0 0 1 0 No 93 1 Yes 21 Preservation method - Ice - Sometimes 114 0 0 1 0 No 68 1 Yes 46 Preservation method - Ice - Never 114 0 0 1 0 No 67 1 Yes 47 Preservation method - Ice Do you use ice on your fishing trips? 114 0 1 3 1 Always 21 2 Never 47 3 Sometimes 46 Fishing technique - Handlining 114 0 0 1 0 No 12 1 Yes 102 Fishing technique - Castnetting 114 0 0 0 0 No 114 1 Yes 0 Fishing technique - Speardiving 114 0 0 1 0 No 81 1 Yes 33 Fishing technique - Deep bottom handlining 114 0 0 0 0 No 114 1 Yes 0 Fishing technique - Gillnetting 114 0 0 1 0 No 64 1 Yes 50 Fishing technique - Spear while walking/canoeing 114 0 0 1 0 No 91 1 Yes 23 Fishing technique - Other 114 0 0 1 0 No 108 1 Yes 6 Total catch per year (kg) What is your average catch (kg) per trip? 114 0 160.38 1244.717 521.344 Recoded variable Size (cm) - Acanthuridae 114 0 0 33.6 7.786 Size (cm) - Albulidae (write down the species in the table) 114 0 0 0 0 Size (cm) - Balistidae (write down the species in the table) 114 0 0 26 2.485 Size (cm) - Belonidae (write down the species in the table) 114 0 0 36 2.318 Size (cm) - Caesionidae (write down the species in the table) 114 0 0 0 0 Size (cm) - Carangidae (write down the species in the table) 114 0 0 40 7.245 Size (cm) - Chanidae (write down the species in the table) 114 0 0 40 1.796 Size (cm) - Cirrhitidae (write down the species in the table) 114 0 0 0 0 Size (cm) - Gerreidae (write down the species in the table) 114 0 0 24 3.33 Size (cm) - Hemiramphidae (write down the species in the table) 114 0 0 26.667 2.039 Size (cm) - Holocentridae (write down the species in the table) 114 0 0 26 2.932 Size (cm) - Kyphosidae (write down the species in the table) 114 0 0 0 0 Size (cm) - Labridae (write down the species in the table) 114 0 0 0 0 Size (cm) - Lethrinidae (write down the species in the table) 114 0 0 35.429 22.16 Size (cm) - Lutjanidae (write down the species in the table) 114 0 0 26.909 8.699 Size (cm) - Mugilidae (write down the species in the table) 114 0 0 28.8 6.605 Size (cm) - Mullidae (write down the species in the table) 114 0 0 24 3.708 Size (cm) - Other (write down the species in the table) 114 0 0 36 12.174 Size (cm) - Platycephalidae (write down the species in the table) 114 0 0 0 0 Size (cm) - Priacanthidae (write down the species in the table) 114 0 0 0 0 Size (cm) - Scaridae (write down the species in the table) 114 0 0 40 3.62 Size (cm) - Serranidae (write down the species in the table) 114 0 0 36 11.435 Size (cm) - Siganidae (write down the species in the table) 114 0 0 26 2.844 Size (cm) - Sphyraenidae (write down the species in the table) 114 0 0 40 1.754 Size (cm) - Average (write down the species in the table) 114 0 19.68 35.333 25.856 Weight percentage - Acanthuridae (write down the species in the table) 114 0 0 0.466 0.0755 Weight percentage - Albulidae (write down the species in the table) 114 0 0 0 0 Weight percentage - Balistidae (write down the species in the table) 114 0 0 0.337 0.0175 Weight percentage - Belonidae (write down the species in the table) 114 0 0 0.252 0.0103 Weight percentage - Caesionidae (write down the species in the table) 114 0 0 0 0 Weight percentage - Carangidae (write down the species in the table) 114 0 0 0.359 0.0453 Weight percentage - Chanidae (write down the species in the table) 114 0 0 0.299 0.0098 Weight percentage - Cirrhitidae (write down the species in the table) 114 0 0 0 0 Weight percentage - Exocoetidae (write down the species in the table) 114 0 0 0 0 Weight percentage - Gerreidae (write down the species in the table) 114 0 0 0.362 0.0181 Weight percentage - Hemiramphidae (write down the species in the table) 114 0 0 0.253 0.0157 Weight percentage - Holocentridae (write down the species in the table) 114 0 0 0.326 0.0204 Weight percentage - Kyphosidae (write down the species in the table) 114 0 0 0 0 Weight percentage - Labridae (write down the species in the table) 114 0 0 0 0 Weight percentage - Lethrinidae (write down the species in the table) 114 0 0 1 0.383 Weight percentage - Lutjanidae (write down the species in the table) 114 0 0 0.793 0.0784 Weight percentage - Mugilidae (write down the species in the table) 114 0 0 0.593 0.0649 Weight percentage - Mullidae (write down the species in the table) 114 0 0 0.214 0.0203 Weight percentage - Other (write down the species in the table) 114 0 0 0.562 0.0961 Weight percentage - Platycephalidae (write down the species in the table) 114 0 0 0 0 Weight percentage - Priacanthidae (write down the species in the table) 114 0 0 0 0 Weight percentage - Scaridae (write down the species in the table) 114 0 0 0.456 0.0252 Weight percentage - Serranidae (write down the species in the table) 114 0 0 0.44 0.0955 Weight percentage - Siganidae (write down the species in the table) 114 0 0 0.289 0.0177 Weight percentage - Sphyraenidae (write down the species in the table) 114 0 0 0.162 0.0063 Extrapolated yearly weight (kg) caught by the fisher - Acanthuridae (write down the species in the table) 114 0 0 364.185 41.201 Extrapolated yearly weight (kg) caught by the fisher - Albulidae (write down the species in the table) 114 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher - Balistidae (write down the species in the table) 114 0 0 202.154 10.038 Extrapolated yearly weight (kg) caught by the fisher - Belonidae (write down the species in the table) 114 0 0 210.422 5.249 Extrapolated yearly weight (kg) caught by the fisher - Caesionidae (write down the species in the table) 114 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher - Carangidae (write down the species in the table) 114 0 0 340.881 27.596 Extrapolated yearly weight (kg) caught by the fisher - Chanidae (write down the species in the table) 114 0 0 218.62 5.034 Extrapolated yearly weight (kg) caught by the fisher Cirrhitidae (write down the species in the table) 114 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Exocoetidae (write down the species in the table) 114 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Gerreidae (write down the species in the table) 114 0 0 134.675 10.511 Extrapolated yearly weight (kg) caught by the fisher Hemiramphidae (write down the species in the table) 114 0 0 156.578 8.264 Extrapolated yearly weight (kg) caught by the fisher Holocentridae (write down the species in the table) 114 0 0 187.787 9.127 Extrapolated yearly weight (kg) caught by the fisher Kyphosidae (write down the species in the table) 114 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Labridae (write down the species in the table) 114 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Lethrinidae (write down the species in the table) 114 0 0 686.785 189.769 Extrapolated yearly weight (kg) caught by the fisher Lutjanidae (write down the species in the table) 114 0 0 473.264 40.294 Extrapolated yearly weight (kg) caught by the fisher Mugilidae (write down the species in the table) 114 0 0 373.611 36.046 Extrapolated yearly weight (kg) caught by the fisher Mullidae (write down the species in the table) 114 0 0 117.367 10.103 Extrapolated yearly weight (kg) caught by the fisher Other (write down the species in the table) 114 0 0 422.52 48.706 Extrapolated yearly weight (kg) caught by the fisher Platycephalidae (write down the species in the table) 114 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Priacanthidae (write down the species in the table) 114 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Scaridae (write down the species in the table) 114 0 0 238.854 15.364 Extrapolated yearly weight (kg) caught by the fisher Serranidae (write down the species in the table) 114 0 0 279.116 48.68 Extrapolated yearly weight (kg) caught by the fisher Siganidae (write down the species in the table) 114 0 0 155.637 7.446 Extrapolated yearly weight (kg) caught by the fisher - Sphyraenidae (write down the species in the table) 114 0 0 103.916 3.013 Extrapolated yearly weight (kg) caught by the fisher - All (write down the species in the table) 114 0 160.376 1244.685 516.439 Household ID 114 0 1 02101EE9-6178-429E-A79B-A90B4584BAFA 2 046AC23D-DA61-4960-90BD-A814E26D85A2 3 04D32A30-7A5E-4875-9F3A-25051C8797B8 4 05B857EE-0098-43B2-A239-3C47FF69FCD5 5 0C461919-39C1-4BD4-AA08-8AEDCB676690 6 1AE5A419-3D5F-4721-AD1D-FC2C69753206 7 1EA03B85-0BBE-468E-A2D2-9859E0862E04 8 20CE3C52-A779-4068-B2AE-B4F8D95E8369 9 2581DADF-56F8-4709-805A-C7305EA6C7D0 10 2847B3D0-9C25-4138-B006-06D45F7AE2A8 11 34CECD73-A31A-40D0-9969-1CFF1AEE9E03 12 36E2174C-5B69-4F50-94E7-657235F91409 13 3F114FB2-DCCE-4D58-AF01-39A435FC16C4 14 4B85EBBE-0309-471B-897D-C35FF17BC6E4 15 4E027CE1-A196-4839-A342-226582C75556 16 614C93CC-5AEA-4C3D-8367-D109CE1A977B 17 61E1883A-57C4-4542-B696-CC8140692C8B 18 63F5A0AB-29CD-4772-A869-A0E1023AC2BD 19 676A743A-1875-4EAE-B099-934F8FD949A6 20 71AE3CBF-9BB5-43F1-98A2-419557082D6E 21 75EA2F98-1B56-4873-AE19-0DA2D4420095 22 763161FA-B534-457A-9ADD-714B7FA65C8C 23 788B9A0E-6196-419D-8182-56373E2A6989 24 7CE62099-AA3B-44FC-B235-5FE766A4F022 25 80E8A5E4-3333-481D-8CD7-4FEA288F4AE7 26 86325B21-9D5F-4FEC-AE20-97ED6C11A76B 27 86F1B8B1-C12A-4AC7-869E-2A31619E0FE9 28 8D25FD04-6A7B-4CB7-BC45-C78E9C2252B8 29 95F0D449-3BF1-443A-B56D-16FA35FDD463 30 966DA235-B09B-4490-AEB0-7FDE178A91DB 31 9C6DF690-8A8E-4205-9683-3505BC40F149 32 9C7DFB94-DA7E-4ACF-8005-13A2D3DF5CC4 33 A2C8645E-D38F-4279-AD45-3D36F826393A 34 A3AE97F0-22CE-4860-9674-FCD5619BED8C 35 A41AD91B-CDBF-4290-B327-E9458F5947FF 36 AF957104-5268-4E86-9A65-9250ACCD13AC 37 B611DDF5-EE85-4609-805C-BE39E8DD2C26 38 B82341F5-79A6-4B25-A6B8-22240518EBF9 39 BDE48823-66A1-4984-AB70-D3EBAF260DCC 40 BE6E9E8E-EC30-4AA3-B979-624D8D9F2450 41 C83D651D-3897-4347-9709-5F81727A1DC8 42 D5E53144-CAB3-448A-953F-9023A18BFC47 43 D9313151-DA97-435F-BC3C-B773D5C5EFB8 44 DADA3374-B342-459E-A425-33B382EB4E3C 45 DC3B7B0F-9289-4FBF-85B1-EDEFA670C81B 46 DD49B2E5-BED1-4073-94D2-9D9CBC506F98 47 DE606AD2-03EE-45AB-BDD0-76D1B260C318 48 DF07EA82-5885-4785-B750-9CEF0B95648B 49 DFF5231E-C69B-4E5D-B404-8553072BAB20 50 E84F9454-806A-47B1-804A-314AE995FBAB 51 E8731E7A-AFAC-4AE4-8363-91435C74004B 52 F2D46D54-2AF2-4E8C-B55D-99FFEDDD4F36 53 F360DE0D-284A-4210-A1C8-6C38C607F323 54 F567FCE3-49F8-4B10-8A81-4B4FBF20D442 Fisher ID 114 0 1 037F1F9B-29B6-4D24-9566-95B596A54755 2 03E5F068-D544-495A-865A-7A9B6F56FD07 3 0580148A-4CD3-4164-A277-5D35CED74518 4 07517F25-3A97-446F-AACE-72FE4B5A7419 5 07F2A6E2-AF3E-4414-AF84-1D2C20D13F79 6 0C87362D-81B0-4BB6-A85B-1B078F3E569F 7 0F349509-A672-452A-A8ED-60FA03A91B7D 8 1071DFFB-E2FE-4AAE-A1BF-5507E32AB831 9 13CDF050-1898-44A2-B912-BF3903F5582B 10 149E4B3E-E643-42D5-98C0-1865A0877193 11 14FF2341-7745-4012-80C6-759B31398D32 12 18828E1E-2922-4FFE-A59C-22DCDF58D4B6 13 1CA44405-1560-411F-8B92-D16F9F899DE5 14 1DFEFAD8-0C8D-4F39-BD59-FFF48B26C3E9 15 2A06DEB8-DA40-43A3-8144-1ACE6CEDEDEF 16 2A78E5C0-A5C0-432C-9000-D66C0197CBF0 17 2C2F147E-E3B8-4EEF-912E-D6442960ADF3 18 2DF113D2-EDBE-4546-8DDE-BE3863D48472 19 2FF40143-C624-4B7D-9F53-C789D31562C9 20 30714911-BC49-4FA5-B771-4251F7DA5423 21 314E0B5B-B82F-471F-AB67-EFF7BB12EADA 22 335E9230-06E8-4DB5-919E-DEDA64C60D56 23 33ADD263-0740-4FBA-BE01-8D33051A1499 24 34720087-985A-43BF-BD1F-D0CBA8DF4A5F 25 37A35FFC-BD5B-40B2-ACDA-91ADA67EDEF5 26 3EC7847E-0679-4134-82B2-B6494DBD7F08 27 48CCD6F1-DAFD-497A-A626-456D947B0E45 28 4955A9A1-E1C0-4DB5-8386-652298B6529D 29 4C6C21F9-A430-4965-9F57-E6A622C0310F 30 4C920197-B930-44F1-8377-F64B122B1831 31 4DB325B7-B940-49DF-ABD5-41F88AC2551B 32 4DEB33D0-E332-4A3A-8D28-640BC4138A8D 33 4F16AF7D-7905-46F4-B07D-42F951CE5967 34 50BADF69-215F-4A70-9C05-8882B17A7C44 35 549934C6-0FB0-4697-B412-B9A7E5DFEE64 36 59CBA6D6-9286-4272-B3C5-DCD87ED80416 37 5ABA29B5-63FB-428E-9047-5A8C23274627 38 5C2F5D7F-FC89-45C9-84B9-662F8921D2D2 39 5EB442B5-17F6-4C43-8FEE-AD55BD551EFA 40 607D8A61-A0ED-4AC2-A06D-15C3546BB716 41 613F9F94-F446-44AE-9D19-225E924E93BD 42 67FE16DF-53BD-43BD-95B0-628FB7CFB6B9 43 69A834E8-4475-448C-953E-C4225F617CC2 44 6B465154-1AD6-4EB2-93F1-20FEC8AC229F 45 71F80E6C-1346-4CE5-9F6E-A2F422DB86C2 46 755B7A5B-0872-41ED-B1D2-86814B51CFC1 47 75BF3F25-4637-48D6-BC40-FE3C409C7453 48 75ED3D94-1A19-467B-AB7C-9D5B923AE7FD 49 7608D99C-A144-4662-B0D4-3EBB8E13440D 50 76DEDD1D-773A-4C99-BFEC-D3236141D452 51 7A7C217A-EDC6-49E9-844E-89A2967A89FE 52 7B0E97DF-BD23-4A8A-9EE5-ACC29DD49394 53 7D1E2B12-5B12-4569-BA91-584BDCDEC811 54 7D81BCD8-1093-4EC6-9094-F3390718B033 55 7DF85A05-FA8B-46C0-9896-A7278774DC5B 56 82A1EA45-EBD4-42E0-8080-47936E8E0B83 57 863FF8E8-10BC-48FB-AA76-FCB8AE79F9ED 58 8A942B0B-0E12-4CCC-A4EB-7A8D62D883D1 59 90C89C59-5EC6-4CA8-A70F-918FE10D7270 60 950ED2E4-B09F-4EB4-A28D-2EB0C8EBB4C4 61 98FD80F7-453D-49E8-8C51-C56D0AB4EDCC 62 9A1C2C05-7229-47D2-B49C-BFA823F0F52B 63 A0FCD06B-0D99-40F0-AC32-15C3485C5C41 64 A5823094-A746-49AF-AF39-946B150E565C 65 A8470DC4-EEB7-409C-BA60-09E5207DC6C7 66 ACEED4FF-3AF0-42AE-B698-D0D982BC88D9 67 AFCC92DE-B83D-496A-8975-86AEF0488783 68 B28A74F0-34F8-41A0-BD99-F29A22B87313 69 B69CDD67-93CE-4C40-97A1-8E7540120807 70 B70F32D3-F4CC-48C4-BA87-ADA05FA99E47 71 B9F369F0-ED8E-4848-9467-ADF90EE4D9BC 72 BA7736A6-A9EF-4840-BAA3-2E14080E2494 73 BD9A1B2F-30A2-4ACB-8CE5-00628499B2B2 74 BFAE9492-7F7E-4A4F-A180-BF4F4F4DDBF1 75 C0EBDA3F-7E9D-493D-A2FB-0E54CC4FA24A 76 C1A71B14-B4BF-4C22-AC88-8E0898B5FE7B 77 C858536D-4032-4D94-BA68-16962E76E906 78 CDD2A4D7-C91E-4A7C-9E24-7C1A88CA481C 79 DAEC83EB-8810-4081-B30F-894BF960926F 80 DE5D5F3D-F5CF-4367-AE9A-A0CE67E62B38 81 DFDC6D40-1DA2-4AC1-B059-7EC1D8B22E84 82 E07AD335-96AB-428F-88A9-81E47DC1BBD7 83 E179F525-C701-41C4-9A89-ACBADEAB6501 84 E73DFDB8-E5FE-4197-91F3-89CE507730A5 85 EDB8FB3E-0A6A-49A9-82C7-08A94CFB008F 86 F0DCA7D8-40E2-42B4-86C6-1D1358C70CC1 87 F1523398-5491-4BC6-9B6F-4DA9C0CDA3D0 88 F23C4642-00FD-40B9-AA53-C5577655DF86 89 F3342AD3-1CFD-4DFC-9358-6BB334D464F5 90 F3B29E23-48A8-4F8E-AA49-86F756714657 91 F438B421-6195-4EB2-BBA2-571969E60027 92 F9F03E91-8BD5-44B7-80F1-3969DDA58D0F 93 FB57819C-BC35-4F88-8083-9090995B544C 94 FF06B9B6-DFD1-4F3C-9733-24D8BA6C4389 Fishery Survey ID 114 0 1 000118E8-BDBF-4A34-86C2-CBF98DEE3A4D 2 00859AC7-AB29-4ED8-9985-1E8CC6CF10E5 3 026D7892-CCB2-4B44-BC0D-1F80978804EF 4 0745720A-6140-434D-8952-64C9A4C42B76 5 0D20E5BE-C11F-46D1-BC33-FB4F10C5F1DE 6 0F2A3A13-EBE8-472D-A9DC-AB7C739FBE17 7 0FF07CF0-67C8-4379-AEF5-4BE8032C5733 8 0FF61A4B-D760-472D-B412-5943820B020D 9 1208FFF0-70C4-45B0-8A4C-E03FFE839C99 10 17B2CA88-B6FB-4A36-94EA-9EC3907FB6AC 11 1E118811-EA31-4771-B3E3-8546123F8881 12 2044AE82-3C34-44BA-A143-64E3C375C2BF 13 250130ED-9E00-4B3E-9745-5B98CA098A81 14 29194EFA-2D0C-4656-B16C-539F18B782BE 15 2A42FD1B-8572-48D9-A171-60BCA990F651 16 2D7B08DD-BED0-4E9B-B302-4D2EE45184C8 17 2E084601-F93B-44B0-88BD-81FC513337D4 18 300073F9-AE89-428F-8BEB-A0F735481C3D 19 3740101C-4707-4718-9FE5-776E11F46024 20 3A9E2A5C-BC94-4D20-B6B3-769D676A2114 21 3AC7EC87-8B69-4DA8-A752-E6DCB3839172 22 3BE80B0B-D2CE-4CE8-ADAB-0C9DFCAC0A3E 23 3CFB0BF0-EBAC-4F1D-B8F3-E3EA7E52AA38 24 3E09D67D-D736-4467-86A0-54AF19BAAB6A 25 416A2E7B-B807-4F00-8670-AB59CF4B00AE 26 41B5F82F-9F24-4F7E-9C1F-5A8358F44E06 27 43384A8C-ADC8-459D-B744-591F8CFB8814 28 4389727B-624F-4F2A-BA64-FBA5FB9FEDB6 29 450726E1-3A57-4954-A8A5-DB0A2D1A3F2A 30 4C2082F7-95E8-4F8C-9A9A-DA7D26DCE2FD 31 5018AC54-2BBD-4919-BDAD-0A7BDCFD9C1D 32 51EAE81D-5C67-4F44-8CD1-34B30D9C09A8 33 53331A10-361C-46E0-A635-CD1117761EF3 34 543E93E8-2F6E-4390-AE1E-C6025D41583D 35 58A66029-CCEF-490E-B62C-FD1889E31FFF 36 5AF192C8-B9BC-43BB-90F2-AF8F1C60F786 37 5B7C626E-9937-46C6-9E87-BF6AEA94EA73 38 5CAF89F2-7B0B-4A94-B3F3-017DE5C5EF19 39 5D330883-16CB-44B3-9EDE-8A9B99134C1F 40 5FBC471C-1DA0-4B0A-94FE-12712B7BB268 41 60241A2C-BB37-42F1-8D94-86998A483F83 42 647D1EDB-1747-455B-9438-3D1E56230197 43 652F40DC-946E-4D9E-AEB2-8B1179ACB20A 44 663B5CA5-F6F1-4C0D-AC7B-48375AA0BDFD 45 6AC3F7EB-007C-4CA5-BD1D-5E1C265FE921 46 6D2390B6-728D-4DE2-9E43-9D9322EF744C 47 6D5F8803-150A-4DC3-8A75-3CC90DDFC49D 48 6DEBACD7-6864-4F25-8245-8AC4A29B3972 49 73B7BE5D-3282-4A93-8240-3677E6F087C0 50 7516D17F-142E-46E6-8DB6-42CC1BF6E906 51 77325CEC-9AA5-40C4-8CDF-EE8B81924DDA 52 7866AC2A-AE24-4EA6-95BB-2F7337D2423E 53 7872DD61-5CDE-43D9-A867-9EE46DBB4E3A 54 81390D69-5F17-4BA6-BE0A-4F7B6CBB79E3 55 84529479-444C-4E72-B3DE-96B4E810D5B8 56 8B097316-FA47-41A8-802D-8FF33CA68D54 57 91A55137-185C-44F1-A591-E9F4B79BB482 58 9282471D-F71E-4786-AB2A-8EBD75C34FA3 59 94285C2B-0FC7-4CC5-9F9F-C2B832EEAF04 60 9577C8C8-AFC0-441B-ADAA-2095E72AB848 61 9594EEB2-9E3E-4344-9154-8BAD8F60FF27 62 98E087E5-C371-4047-BF77-EE09512DA32C 63 99806CBE-16F5-4D14-B2D4-0FB94F2059C0 64 99A33E90-6119-49EA-BB41-D6BEC9FAF0B2 65 9ABD9C50-D961-4E81-9918-EAF648832819 66 A220E8C1-6CBF-495E-841F-C8C9D6CABBE6 67 A23B719F-A472-443D-8B3E-F0DEDC1C882D 68 A9034FBB-F905-4258-9EE5-7A5B6C973F5F 69 AAE687B4-78F3-4A62-A189-2759EE463494 70 AB980E84-FDEC-4A73-A585-F3685F68B850 71 AD15C0F7-260E-44B3-A368-0EC8A4943660 72 AD38B66E-D2E7-44C7-9E96-403283E4D72F 73 AEA997CC-35DE-489E-B893-48985B48E9F3 74 B18A55EE-2918-465F-9742-5C41A7C253B7 75 B203B6E8-B82D-49EB-A063-9CE9FEBF17CC 76 B29F26B8-4792-4418-8208-EB9403B0EAF8 77 B384B493-6748-4FD1-81E2-E6DB029C3A6C 78 B4D5082E-554C-4C43-8403-CBED3EEA4C64 79 B5633900-E0D4-4B78-BC01-122DF8491CBA 80 BDBCF4C7-8DEB-4E23-9434-B44622FC0CE7 81 BF3C83CA-9F05-4511-B451-ED8C02D04157 82 BF431345-A1A4-4B70-ADF1-EC75D0969BEA 83 BF880AB6-50CC-4E16-AC94-0EFC5400F656 84 C1AAF52A-B5CF-4464-8AA7-97880C3AA409 85 C2CC144D-5284-4CB2-9D79-BDDC4A90E995 86 C3266094-86E1-4E0C-9CEE-6A6EB2C4546C 87 C644F190-E121-4972-89B8-C60AC41E1592 88 C715AE9F-F831-482A-A6C7-255703C3EA86 89 C81FE8BE-D9F8-412A-8474-C054DF76CAA4 90 CAB29828-1F93-43B0-827E-4CD6ADCB0295 91 CBA9DB47-51F0-4A7A-AE91-E22370C1FFB5 92 CBFFFBDA-F9EC-47F2-9A48-C74296122783 93 CDFFAA3C-C840-46F5-AB06-88C781F916C1 94 CE578B19-9883-4964-95C9-81BFBC9215A8 95 CEB62DAE-63B6-44AF-A568-F8476063AD8E 96 CF0F63FA-ADB5-4FC7-9E99-8F212A02389B 97 CFC8FDF6-2112-40E3-8AC0-F7BECD1F7150 98 D0BEBA64-4E55-4265-BFE7-3AF47C6A3C02 99 D2A1B803-CB53-404F-B6B3-3C769F80975D 100 D6A6EAED-0A9D-427C-A3BE-C13B63EB78CF 101 E0386839-2958-43A0-89BE-50AF6D5E8543 102 E08A61B8-5FA8-48C7-B4DE-C94F219A7AA5 103 E2F6F0A2-E514-4C4F-B5FF-D4779F03B297 104 E3A9E27C-F866-4811-B4FF-DB668D425C91 105 E4ECFC2A-A7AD-4C86-A5A5-534BDF187AC8 106 EA413BFF-1CE6-4224-98AE-46FF72006E99 107 EEEA073E-74DC-48DE-BE4D-AEBD030428E4 108 EF9162E3-DC6E-4F7D-9929-2F2DE1B8663D 109 F092B6E7-DCA2-4578-B6C8-A857F5D436AC 110 F8AB72E5-518F-413A-8543-B9B2116AB75B 111 FC275CB9-C49B-467D-A355-6754E8C82EC2 112 FE12C57D-8957-4C2F-BB69-B7EBEF61ACEA 113 FE81620A-CD8A-420D-9840-EEB8DE37F7A9 114 FF0B99DA-7FA7-4789-8274-5263F133A79A Site 165 0 1 4 1 Dromuna 33 2 Lakeba 62 3 Mali 44 4 Muaivuso 26 Household Code 165 0 Gender of fisher Gender 165 0 1 2 1 Male 74 2 Female 91 Habitat Gleaning - Seagrass 165 0 0 1 0 No 111 1 Yes 54 Habitat Gleaning - Mangrove 165 0 0 1 0 No 133 1 Yes 32 Habitat Gleaning - Sand 165 0 0 1 0 No 135 1 Yes 30 Habitat Gleaning - ReefTop 165 0 0 1 0 No 106 1 Yes 59 Habitat Diving - Beche de mer 165 0 0 1 0 No 125 1 Yes 40 Habitat Diving - Trochus 165 0 0 1 0 No 150 1 Yes 15 Habitat Diving - Lobster 165 0 0 1 0 No 153 1 Yes 12 Habitat Diving - Other 165 0 0 1 0 No 132 1 Yes 33 Habitat combination Which type of fisheries do you do? 165 0 1 21 1 Beche-de-mer 39 2 Beche-de-mer+Other 1 3 Seagrass 2 4 Seagrass+Mangrove 26 5 Seagrass+Mangrove+Reef Top 1 6 Seagrass+Mangrove+Sand+Reef Top 1 7 Seagrass+Reef Top 13 8 Seagrass+Reef Top+Other 4 9 Seagrass+Sand+Reef Top 7 10 Lobster 11 11 Mangrove 3 12 Mangrove+Reef Top 1 13 Other 12 14 Reef Top 3 15 Reef Top+Other 4 16 Reef Top+Trochus+Other 3 17 Sand+Reef Top 20 18 Sand+Reef Top+Other 2 19 Trochus 4 20 Trochus+Lobster 1 21 Trochus+Other 7 Fishing time - Daytime 165 0 0 1 0 No 1 1 Yes 164 Fishing time - Night 165 0 0 1 0 No 110 1 Yes 55 Yearly hours 165 0 16.658 868.571 225.499 Fishing time Glean/dive at 165 0 1 3 1.661 1 Day 110 2 Night 1 3 Day and Night 54 Fishing months 165 0 6 12 11.345 6 1 8 9 9 2 10 30 12 123 Trips per week 165 0 0.23 5 1.506 Time spent fishing 165 0 2 8 3.879 Going fishing by foot 165 0 0 1 0 No 78 1 Yes 87 Going fishing by boat 165 0 0 1 0 No 87 1 Yes 78 Targeting Beche de mer - High value - Gift 165 0 0 0 0 No 165 1 Yes 0 Targeting Beche de mer - High value - Sale 165 0 0 1 0 No 127 1 Yes 38 Targeting Beche de mer - High value - Subsistence 165 0 0 1 0 No 161 1 Yes 4 Targeting Beche de mer - Low value - Gift 165 0 0 0 0 No 165 1 Yes 0 Targeting Beche de mer - Low value - Sale 165 0 0 1 0 No 158 1 Yes 7 Targeting Beche de mer - Low value - Subsistence 165 0 0 0 0 No 165 1 Yes 0 Targeting Bivalves - Gift 165 0 0 0 0 No 165 1 Yes 0 Targeting Bivalves - Sale 165 0 0 1 0 No 130 1 Yes 35 Targeting Bivalves - Subsistence 165 0 0 1 0 No 112 1 Yes 53 Targeting Crustaceans - Gift 165 0 0 0 0 No 165 1 Yes 0 Targeting Crustaceans - Sale 165 0 0 1 0 No 149 1 Yes 16 Targeting Crustaceans - Subsistence 165 0 0 1 0 No 150 1 Yes 15 Targeting Gastropods - Gift 165 0 0 0 0 No 165 1 Yes 0 Targeting Gastropods - Sale 165 0 0 1 0 No 146 1 Yes 19 Targeting Gastropods - Subsistence 165 0 0 1 0 No 119 1 Yes 46 Targeting Giant Clams - Gift 165 0 0 0 0 No 165 1 Yes 0 Targeting Giant Clams - Sale 165 0 0 1 0 No 155 1 Yes 10 Targeting Giant Clams - Subsistence 165 0 0 1 0 No 142 1 Yes 23 Targeting Lobster - Gift 165 0 0 0 0 No 165 1 Yes 0 Targeting Lobster - Sale 165 0 0 1 0 No 153 1 Yes 12 Targeting Lobster - Subsistence 165 0 0 1 0 No 164 1 Yes 1 Targeting Octopus - Gift 165 0 0 0 0 No 165 1 Yes 0 Targeting Octopus - Sale 165 0 0 1 0 No 146 1 Yes 19 Targeting Octopus - Subsistence 165 0 0 1 0 No 141 1 Yes 24 Targeting Others - Gift 165 0 0 0 0 No 165 1 Yes 0 Targeting Others - Sale 165 0 0 1 0 No 164 1 Yes 1 Targeting Others - Subsistence 165 0 0 1 0 No 150 1 Yes 15 Targeting Sea urchins - Gift 165 0 0 0 0 No 165 1 Yes 0 Targeting Sea urchins - Sale 165 0 0 0 0 No 165 1 Yes 0 Targeting Sea urchins - Subsistence 165 0 0 0 0 No 165 1 Yes 0 Targeting Trochus - Gift 165 0 0 0 0 No 165 1 Yes 0 Targeting Trochus - Sale 165 0 0 1 0 No 155 1 Yes 10 Targeting Trochus - Subsistence 165 0 0 0 0 No 165 1 Yes 0 Average quantity per trip in Kg Beche de mer - High value 165 0 0 172.735 10.353 Average quantity per trip in Kg Beche de mer - Low value 165 0 0 27.708 0.754 Average quantity per trip in Kg Bivalves 165 0 0 8.84 0.931 Average quantity per trip in Kg Crustaceans 165 0 0 17.645 0.774 Average quantity per trip in Kg Gastropods 165 0 0 5.7 0.29 Average quantity per trip in Kg Giant clams 165 0 0 20 1.067 Average quantity per trip in Kg Lobster 165 0 0 16 0.873 Average quantity per trip in Kg Octopus 165 0 0 30.8 0.677 Average quantity per trip in Kg Others 165 0 0 1.4 0.0532 Average quantity per trip in Kg Sea urchins 165 0 0 0 0 Average quantity per trip in Kg Trochus 165 0 0 16 0.57 Extrapolated quantity per year in Kg Beche de mer - High value 165 0 0 8858.856 533.22 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Beche de mer - Low value 165 0 0 2406.667 60.825 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Bivalves 165 0 0 1151.726 78.682 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Crustaceans 165 0 0 1824 51.414 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Gastropods 165 0 0 412.571 22.967 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Giant clams 165 0 0 868.571 55.937 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Lobster 165 0 0 1302.857 24.877 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Octopus 165 0 0 615.662 29.262 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Others 165 0 0 121.6 4.831 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Sea urchins 165 0 0 0 0 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Trochus 165 0 0 868.571 17.921 Variable obtained by calculating the number of species caught per trip in a year Invertebrate Fishery - Survey ID 165 0 1 0383C10C-E900-4479-9C29-B4FDF5542637 2 0441E4A9-F047-495A-828A-A21EAD2B6F1A 3 04F40B24-A977-4102-B6F5-9F5CCCB3517C 4 071622AF-4A1B-4726-BD4A-37249BBA39CF 5 09BCBE2D-1C22-4F44-AE2D-78B4165BC3AC 6 0A459736-09E3-4966-B0C2-7CD854AFAB05 7 0B95BA5B-1024-45D6-9CDF-55B887E51AC6 8 0C2A4222-6F6C-46B7-8B18-A0729FF1E0FE 9 0C414B2F-72C7-4B9B-BE24-6636C3F70FE6 10 0DDD5479-636A-4CAD-96ED-39540ACFDC24 11 0EDB46FC-EDAA-4654-9F1D-3D8FE40E5AC6 12 11A47ECF-CA3A-4205-88E6-3296ED8633E4 13 123BFFAA-0530-470A-B719-E7AD2A5C764E 14 131404F6-89A8-4B3B-899B-8D4D2AAC88EC 15 13231232-79E2-4BF5-8CBB-81DB6400C8B5 16 13C85B69-6618-4B28-B90B-42753C0BB707 17 141AE64F-A1E7-4D09-89E0-34E9E55D6DD4 18 164B5109-C560-4D82-A667-068AACE5255A 19 176BD153-93DD-404C-B1EB-1F4EE64D986B 20 17DAB6A7-5472-4F4B-A76B-59E8A2401034 21 1C1B91DA-0646-4547-8463-B6CA3698C9C1 22 1FEF812F-F252-4E42-AE83-9ED45EAC71BD 23 24700BBB-87C0-4F10-A5CF-71B08D3E9397 24 2809D1D5-F6DF-4D43-987D-45FD905C1580 25 2CF6F306-9233-49DF-8DA9-571DEB12C254 26 2D268B8B-0469-4537-A0A9-59B7D4813C9A 27 2E54AB4B-DC01-47D9-AA15-CDA4BE03A28B 28 2EE9836B-AB0E-4787-BDEF-6F0997177AC2 29 2F8C593D-746A-4807-ADA2-99F3C8A171EC 30 338842D3-1737-4B78-B176-E5E03B86636E 31 3461CDD7-2307-48F6-9687-F33C31758342 32 3641EE30-AE6C-41CA-BE18-79060DFCDAA9 33 375DF943-6671-422A-9D2F-1BEAEA8EEF6F 34 37627A35-FF1E-49F7-AC6D-A4C18075D241 35 38766193-2ED0-4C2F-AAEC-7A6FC3BADDF6 36 39693337-532C-48CD-BC90-EDE7356F11EC 37 3A4006CE-BB58-430A-9B44-3883E02F1291 38 3A5AAA2B-3F3C-465B-8BFF-F3375EB74202 39 3E15F6C3-7910-433C-8D11-E753901C8A31 40 3EA5B76E-40BE-4DEE-A722-E219E47DCBF2 41 3EDDD7F3-01F1-4871-8DA6-DC17B5996DFD 42 3EFDF1B5-AB94-4DCA-845E-ED2A63C14001 43 3F6DFB9D-EA6C-48FC-9E62-D99FD9501235 44 41668B07-60D5-48D0-96CB-D1A5A86B6982 45 422374E3-0806-4296-A481-7E3109DAAFF8 46 429304F5-2D85-4442-B7FD-21CE3613D33B 47 42C9F9DB-B25B-4664-9E1E-5EC7693B9CF4 48 449D74FA-4897-4C66-A361-19DE795B7880 49 44DB2A19-DC30-4099-9CB5-528EACF41BAB 50 46BDC14D-361F-4239-9088-CFB1D5940CC2 51 46E29DD1-F438-44A3-97F5-432C4318386C 52 48C8C416-BCC5-44B7-883A-1A7F9555381F 53 4C1FDEDE-8BDD-4C9B-AF31-B98BF95DDFA0 54 50D46508-1DB7-4DC8-A9E3-45E665E4357B 55 51725103-9C33-4726-AB19-B544004F25F0 56 5218180D-F318-40F1-A9A3-A228809FBCD7 57 52A5DD22-7C9B-46A0-BF68-E3718BD9F7AF 58 52E51406-4C4C-4BBE-9FE7-BE5122509BCC 59 53C7B805-49CE-417A-9411-63A5E37A1793 60 584B09A7-1438-4D69-A9B4-CADD7BC1B2FF 61 587ECA33-6696-43F2-AD81-05FB2848932B 62 588AC84C-E20B-4ADB-AAE4-0D0DEE336B5D 63 58DA6EBC-E3AA-46FC-A678-46BBB4F5A24F 64 59CC7038-6D96-44EF-B6F6-D857E5127153 65 5B206D1F-7BD0-421A-8D96-2C8E34C300BC 66 5B406E9E-5D00-4AB8-9F83-81588C51A259 67 5CFC5073-B727-4FDC-9CBC-AB2F3A32E2EC 68 5F453D30-F886-46EE-A29D-56903AD57BE4 69 60C61254-5C7F-4577-80E1-8EEDA07A9960 70 62299FDF-741C-45AF-8404-1B3D956E5D9A 71 64DF6200-FB2F-4578-92CA-F9CB7D4F5FEE 72 654289B4-46E2-4CE0-B334-61903C9F208A 73 6598A4FB-130D-4105-B5EB-55DA7B6608A4 74 672B114F-04D3-49DD-9EEB-735E367F2390 75 67D3756B-F493-400D-BA79-5E249CDE18C6 76 684FE36E-32E9-45A1-8D1C-92F71B6A8695 77 73C6A401-643A-4835-8BCB-D6A6ED72C72B 78 73F67FC3-6E18-4CFB-9EDA-744847F160AA 79 7642119A-F3A2-473C-A798-E081133398ED 80 79FC0482-422D-4AFB-8AC0-42E83A1C6BAB 81 7B273E6F-0B92-4685-8BFF-5AA5755EA587 82 7C322AE2-7A9B-4156-8B65-350FC4CC318A 83 7D0009E3-62AE-450E-83BE-CE5A0990AABE 84 7F6C433E-0AD7-46F6-AAF8-F5D37709A826 85 8170ED67-1872-4BC0-A896-6451C99DA8FF 86 81F660A4-7B3F-4468-8F38-61AB7553608B 87 81F7D2A7-F303-4A5F-8001-442CD22BBCDB 88 83B5C73B-1E55-47CF-9BC1-C182066F027D 89 8583E74F-D514-45AC-8652-8816A8BD3D14 90 866F2718-293A-4FFF-A891-6973B490E1AE 91 892974B0-931F-4916-8B6B-5D8A82962973 92 8AF06EF3-68B9-4D15-92BD-35493A3A3782 93 8C77AAB2-47D2-48DB-B32D-5EC349327B06 94 8DB6E248-7252-4B47-B100-C5EA6FF760F2 95 8ECAE7D2-ECAF-497B-91F5-DC066FE3E86F 96 8FD03A25-15F5-4300-B1CD-4162A5E95E91 97 9125BBA5-A6F7-4B76-8579-A2C419A4D831 98 918D8F87-B8BA-4814-925F-976F0D299584 99 921AC5EE-8EF8-4203-83E9-9E7DF106073A 100 92327C32-24EF-4E6C-9734-29DB21CB989A 101 92E54AA0-4D39-47B9-BC32-927B9D464E20 102 9356F2ED-29A2-4A55-ABC6-473D95BF9C45 103 94AD75C4-52EE-4F88-9B1A-8D1BB62D9BDB 104 98CE59BE-B8E1-4204-A68E-F1848F6D9B8D 105 9CCE11DB-CFE9-4276-9BEE-6E8308B77526 106 9E216640-0C76-4F82-B4F2-9612C1D975FD 107 9E2B264B-6C47-457A-9F3E-B69E5C481573 108 A1835BCB-93DD-44C3-B42D-5E0DED291402 109 A33BBA6B-85CC-46CE-8B17-0F29C2432AF5 110 A3AFB381-9D26-43B6-8FB2-1015318146EB 111 A6932AE2-554E-4CEA-BFEF-BC6B2A9145B7 112 A7A48E17-ABFC-4334-B944-422FD782BA28 113 A9CD5C14-FEF0-49F7-9749-F1F3A0B75CE3 114 AAA8EA99-E56A-4AF5-A179-2B69B4AD3067 115 AABB48CA-BA90-4AB5-936A-6FF19AC73594 116 AB02D7B6-750B-48D8-9795-745ADFD4153F 117 AB9F2483-DC14-493B-8824-8A3702D5129A 118 ACD8F5B9-67AD-452F-AD0F-F820EDAF100E 119 B1F3470F-6A89-494C-9B47-CE86FCAEE13F 120 B3057FF9-F10D-416C-857D-F502962B772E 121 B51F08C0-70A8-4B8C-B39A-47A7AEE7C5F1 122 B7947620-1798-4CED-A907-A9FB0B3E000D 123 B844658E-2B4C-4805-AFA8-9A7F84461054 124 B8CE17DF-2787-4B36-8CE1-6EC94E734284 125 B946783D-F352-497C-B9EE-FFE60D1A9655 126 B9E49DA9-6205-4FF3-96FD-BFCB4FEA338A 127 BA97B5F4-A159-4F25-B6E2-056F306D8E7D 128 BC400EAC-3C98-4096-B74F-E2495BC672C9 129 BE2C4EF9-1888-48A5-8A77-0602A90CD089 130 BF19BD6D-3DDE-4B7C-8F84-FE6F8256656A 131 C0B5AAF3-0A14-4C27-A06F-E693721B1254 132 C20958A0-836D-4E96-9E4B-9C84EF4C1D6F 133 CBC09A78-4396-4E5F-8D6B-500A69527D9A 134 CC8C4D59-F6B8-49A3-84F3-927F73E52D81 135 CEB9795C-0F2C-4EC8-8ED0-6817344E0133 136 CEF6CA0E-E831-4E24-BE47-F3D9AE999D73 137 CF3833EC-EEFF-42A7-B0A7-396EB23BA06B 138 CFF99AE6-7C1F-41F7-9499-5D6FC483901B 139 D2CBB1FD-2900-4BBA-8797-5C5F95BD6872 140 D4AB4DD4-FD6A-4B4F-B4ED-7ED4FD92F7AE 141 D696BD32-9AE5-47F2-A348-0F2D956A63A8 142 D7093A23-6299-4AD0-8216-A4198FDFD58B 143 D94F99F6-7098-402B-B2D9-1A122A3D9416 144 D95C4424-5810-48FB-8177-4235666C0427 145 DA77A9AC-617F-4EEB-A37A-2E0ABF655621 146 DAE5ABAD-EBE4-4AB2-867D-A484C1E4C58D 147 DC07EA0C-6117-4A9F-9DD4-CECC37D0930B 148 DF6FCA18-911F-449A-85BF-1F17DC0BD726 149 E06B96B4-479C-4C85-A05B-6C5AFCDB0B40 150 E17FE399-120C-401D-A4B3-EBC2393CE45A 151 E6374C00-AC5E-4D96-93EB-F5DD39CCCAAB 152 E6D3D993-9714-46DF-AA52-356E85D1EB32 153 EC41CED7-014E-4139-BCAD-1B7DAE16E1A2 154 EE4D1848-B5ED-4C8C-BBCB-118128E0FA59 155 F096C525-C1DF-42DD-AC9B-DC38FCAE4FE6 156 F194E0B1-8879-4C7A-A250-05F1D219A701 157 F1BD3BCA-B356-4E3B-9CFB-29A49BDB52F7 158 F24EC045-1B16-4A18-990B-FF8E00E4AC13 159 F43804E8-FAA8-426D-A192-85FD15D30C4B 160 F48B11F1-79BF-4C87-8B7C-72BEFCBD824C 161 F533500B-F3E7-4A9A-8D18-96FC9235313A 162 F5D7A758-02CF-42E3-A3EE-2F45E7D49905 163 F6340F0A-9112-4AB0-B308-869BD2B4ADD6 164 F8985741-85FC-4FCE-844D-3BEBA1E36494 165 FF9BA057-488F-4E0E-9864-A8CF97879AF5 Invertebrate fisher ID 165 0 1 02BEE083-542F-439C-9181-FA8BDA057B82 2 03672ADB-445E-48DE-9E4E-DF42D3770C38 3 071F7093-7851-4F16-9DB1-3DBFD9EA3F18 4 0C9468E8-190D-4972-AD9B-9619A904116A 5 12AD7B1F-0A54-4AE3-B714-03BA9A54C338 6 1587C185-1A48-42D4-BC20-53F104056601 7 1662EE2B-CA9E-4D59-BF23-8BED2FC9B50A 8 20804D4F-97EA-44FD-92E3-2800D090A673 9 20F7D358-5C1C-4E09-B57B-DB5D534C278B 10 294AB45D-A1D9-4E6A-B684-A26418DC9C4A 11 2BFD739B-F5D6-4C62-A1F2-2F7EAADC60E8 12 2DCE60D0-4BDC-4493-B3E5-A749C13DE729 13 30AA57F9-BB4C-41BA-B775-459E0857C9D5 14 3203D89A-C211-4FD2-8FCD-2F07B7201E2D 15 337734F7-C192-4802-AA91-F7515E4E5A39 16 35ABC504-27A5-4F07-BEA8-0DE23F309EE2 17 391EB10E-9E10-4522-8913-6FCBF7606E77 18 3E500EA5-AD32-4B35-B8B3-38FC0AEB9788 19 3FAEB6BC-7951-463B-9BAB-773E03ABA58D 20 43D1E97E-A8CC-42DF-9CA3-963681121FB7 21 43F113DB-6CF7-4975-9F70-0C55C74D544E 22 4469B02D-9E29-40FF-BFF3-79A52FA2EBC6 23 4D4067B5-A51F-4F76-B227-448EF27DD0D6 24 528250E0-DC3E-46EC-93C1-43B79BD80710 25 541B2862-5A53-4475-8367-4068D062EB3E 26 58082EF9-4A0C-497A-BA1D-64F8C92F20AA 27 5C8E8660-375E-4000-8189-E02819F40A2B 28 5F376F66-BFA0-4415-B205-60F3A2B0B13D 29 60C0B1F2-BD05-4C60-A115-8B548650767A 30 63BCD2CA-EA7F-4C9C-BADB-58E4E5A68C02 31 65BB3BA7-2139-48F5-9E27-0CDC9D19AD82 32 693D0A3E-7523-421A-BD1C-BF92189E439E 33 6B66B783-7826-44ED-B859-031DFF797E16 34 6BEC622F-E3F2-4C20-8883-2B8904F95464 35 6CDB889F-ACAB-43FB-B063-DFC604D3CEAB 36 6DF1ACE4-39DD-4550-9D9E-2F11938DAE64 37 6F90D6BE-C421-4CA0-8DC4-6597EBC23D1C 38 73168711-F2B9-4CFB-A617-0478FA03D90B 39 76A5AEC8-3EBD-4C9E-9755-0329AD54D305 40 777C6C72-C2EE-4232-A21E-AFD8E68D3BF6 41 780F1606-67F8-4F5C-AB65-5CE378E5B2EB 42 7A8801D5-69A2-4D9D-B69C-14A32F54F908 43 7BDB4F39-0D69-4C49-8EDB-B95EE5292B70 44 7D90B0CF-3B0D-456D-AD51-24E129784C0D 45 7FD535F0-BC21-4801-865E-B78CEFC1B769 46 80EE2A27-B16F-4770-B808-22BA624FD3F2 47 83252F79-C1BD-4F9C-947D-ACF8922ED578 48 837804BC-2092-405B-AB4A-E03665601682 49 84B134A6-749E-4C0A-89DF-49E811F57897 50 84D95E94-710D-495C-92B5-03F2EE8909C9 51 85C43351-CA50-4F21-B7BD-DC16C1D9B33D 52 897D89C6-C38B-467B-AAC1-8C29B5DD1800 53 8F73850F-D0DB-4D97-8AA2-399AA842BC21 54 94956C2C-7520-4F9E-81D0-D77ED8A3388B 55 95E69168-65FF-4ACE-9737-06D6D6BEAB31 56 97009FF4-1A1B-42B2-8C15-DB7CEEF03FF2 57 98EF54E4-B622-4973-B21C-2D562178959A 58 9D62EEE1-1989-4F43-A682-D3C2BB1D89A5 59 9F6A3C41-B70F-45A6-BBC7-0F1557E3A367 60 A14F281B-AD3C-4E65-9115-616242016CCD 61 A1DFBFEF-49B8-4E9C-AF07-44A20F7DAE0D 62 A2EE5851-9E5E-43F4-A803-F92BC18307A6 63 A8215AF6-F93D-4799-B45C-63E6E882D90E 64 AC30E581-A1C5-4959-9525-18526F2AF70A 65 AD542372-F4AB-43BC-8DC6-41FDD933876F 66 AEF7FF50-28E6-432C-976E-C42546C2EE19 67 B11F1098-4217-4836-9597-517A97E557C9 68 B1D5087C-713D-44D5-AB65-5A81F1B569E0 69 BEB095E7-4E05-47A5-93C7-4957AA4C9A42 70 BFF8E714-8C9F-4B8D-A88F-E0734F5E7E4A 71 C0CA2390-415D-4897-8EF9-C4E7DC27A035 72 C1B30F49-9F21-47F6-8348-CEC379FC95FB 73 C61BC3D9-8E99-4713-AAD4-E92718E4758A 74 D16B1C5A-203D-4BF1-A023-17E57872CE54 75 D44F11C5-D653-4E99-BE0D-D6A3E5A99AE4 76 D59AA769-434F-4BD0-B1CA-33D55639D5E6 77 D80D596F-7053-49B5-8A90-DA5781635EE8 78 D82ED5E2-98DB-4ED3-A2CC-9CA72719EC03 79 DA54F5BE-2551-407D-B518-C0205ADF243E 80 DBDADB0B-813A-4CCB-8234-F7D164984204 81 DFC25FC1-C7B9-4178-A634-D51CCF6663FE 82 E16B456C-4D0C-4878-9443-AE4B69E67AC2 83 E7051CD3-A5B5-4577-9E68-E32798E9EE75 84 E713AE7B-9A87-458F-9443-D56717C8DD82 85 EC284424-19D9-44A1-9101-47FE5CF20E2E 86 F37A2BA5-EFFC-42BB-B92C-AB4D1D5D721D 87 F88CD12B-9CA0-4353-8AF7-76A952041FB8 88 FAD3EADB-3CAF-4E23-931E-5A65EA771811 89 FE013ADB-CFD7-4EBF-9340-8B084B64C83A Household ID 165 0 1 02101EE9-6178-429E-A79B-A90B4584BAFA 2 04D32A30-7A5E-4875-9F3A-25051C8797B8 3 05B857EE-0098-43B2-A239-3C47FF69FCD5 4 0C461919-39C1-4BD4-AA08-8AEDCB676690 5 1EA03B85-0BBE-468E-A2D2-9859E0862E04 6 20CE3C52-A779-4068-B2AE-B4F8D95E8369 7 2581DADF-56F8-4709-805A-C7305EA6C7D0 8 2847B3D0-9C25-4138-B006-06D45F7AE2A8 9 3F114FB2-DCCE-4D58-AF01-39A435FC16C4 10 4B85EBBE-0309-471B-897D-C35FF17BC6E4 11 4E027CE1-A196-4839-A342-226582C75556 12 614C93CC-5AEA-4C3D-8367-D109CE1A977B 13 61E1883A-57C4-4542-B696-CC8140692C8B 14 63F5A0AB-29CD-4772-A869-A0E1023AC2BD 15 676A743A-1875-4EAE-B099-934F8FD949A6 16 70D5068E-CAE8-452D-A98B-432597D5F59A 17 75EA2F98-1B56-4873-AE19-0DA2D4420095 18 788B9A0E-6196-419D-8182-56373E2A6989 19 7AF1007D-0000-4D6B-982B-7D29ABA59D08 20 7CE62099-AA3B-44FC-B235-5FE766A4F022 21 80E8A5E4-3333-481D-8CD7-4FEA288F4AE7 22 86325B21-9D5F-4FEC-AE20-97ED6C11A76B 23 86F1B8B1-C12A-4AC7-869E-2A31619E0FE9 24 8D25FD04-6A7B-4CB7-BC45-C78E9C2252B8 25 95F0D449-3BF1-443A-B56D-16FA35FDD463 26 966DA235-B09B-4490-AEB0-7FDE178A91DB 27 9C6DF690-8A8E-4205-9683-3505BC40F149 28 9C7DFB94-DA7E-4ACF-8005-13A2D3DF5CC4 29 A2C8645E-D38F-4279-AD45-3D36F826393A 30 A3AE97F0-22CE-4860-9674-FCD5619BED8C 31 A41AD91B-CDBF-4290-B327-E9458F5947FF 32 AD558027-606C-444E-B2EE-1D079D7FEAD8 33 AF957104-5268-4E86-9A65-9250ACCD13AC 34 B611DDF5-EE85-4609-805C-BE39E8DD2C26 35 B82341F5-79A6-4B25-A6B8-22240518EBF9 36 BDE48823-66A1-4984-AB70-D3EBAF260DCC 37 BE6E9E8E-EC30-4AA3-B979-624D8D9F2450 38 C83D651D-3897-4347-9709-5F81727A1DC8 39 C900778A-2BA6-4E33-959E-19ECFAC1FD8E 40 D5E53144-CAB3-448A-953F-9023A18BFC47 41 D9313151-DA97-435F-BC3C-B773D5C5EFB8 42 DADA3374-B342-459E-A425-33B382EB4E3C 43 DC3B7B0F-9289-4FBF-85B1-EDEFA670C81B 44 DD49B2E5-BED1-4073-94D2-9D9CBC506F98 45 DE606AD2-03EE-45AB-BDD0-76D1B260C318 46 DF07EA82-5885-4785-B750-9CEF0B95648B 47 DFF5231E-C69B-4E5D-B404-8553072BAB20 48 E7C70876-5513-4D88-A2ED-672DA12D8167 49 E84F9454-806A-47B1-804A-314AE995FBAB 50 E8731E7A-AFAC-4AE4-8363-91435C74004B 51 F2D46D54-2AF2-4E8C-B55D-99FFEDDD4F36 52 F360DE0D-284A-4210-A1C8-6C38C607F323 53 F567FCE3-49F8-4B10-8A81-4B4FBF20D442 Site 4 0 1 4 1 Dromuna 1 2 Lakeba 1 3 Mali 1 4 Muaivuso 1 Low island 4 0 0 0 0 No 4 1 Yes 0 High island 4 0 1 1 0 No 0 1 Yes 4 Latitude 4 0 -18.133 -16.2 -17.183 1.025 Longitude 4 0 178.367 179.7 179.05 0.622 Distance to Center of Biodiversity (km) 4 0 6338.952 6413.526 6378.206 Island area (km2) 4 0 5587.1 10531 8059.05 Isolation index 4 0 88 91 89.5 88 2 91 2 Distance to capital (km) 4 0 5.28 254.391 128.457 Market by boat 4 0 0 1 0 No 1 1 Yes 3 Market by road 4 0 0 1 0 No 2 1 Yes 2 Market by air 4 0 0 0 0 No 4 1 Yes 0 Nearest market 4 0 1 3 1 Lambasa 2 2 Lami 1 3 Nabua 1 Distance to market 4 0 5.642 88.079 Fishing ground area (km2) 4 0 20.037 238.532 164.335 Reef area (km2) 4 0 16.129 108.463 75.917 Coastal reef area (km2) 4 0 4.075 20.385 12.863 Lagoon area (km2) 4 0 14.114 213.793 143.882 Outer reef area (km2) 4 0 1.848 15.115 7.59 Total population 4 0 115 290 Total number of households 4 0 25 42 33 Household surveyed 4 0 15 20 Average Household size 4 0 4.6 7.25 Per capita consumption - Fresh fish During an average/normal week, on how many days do you prepare fish, other seafood and canned fish for your family? 4 0 67.901 80.733 73.964 Recoded variable Per capita consumption - Invertebrates During an average/normal week, on how many days do you prepare fish, other seafood and canned fish for your family? 4 0 4.405 13.093 9.554 Recoded variable Per capita consumption - Canned fish During an average/normal week, on how many days do you prepare fish, other seafood and canned fish for your family? 4 0 1.774 3.044 2.413 Recoded variable Per capita consumption - Fish and Invertebrates During an average/normal week, on how many days do you prepare fish, other seafood and canned fish for your family? 4 0 78.134 93.827 83.518 Recoded variable Pourcentage of Household remittance How much? (enter amount) Every time? 4 0 6.25 40 21.562 Recoded variable Average remittance in USD How much? (enter amount) Every time? 4 0 307.736 2544.74 1029.415 Recoded variable Percentage 1st income - Fishing Where does the CASH money in this household come from? 4 0 40 87.5 69.792 Recoded variable Percentage 1st income - Salary Where does the CASH money in this household come from? 4 0 0 40 14.792 Recoded variable Percentage 2nd income - Fishing Where does the CASH money in this household come from? 4 0 12.5 35 23.542 Recoded variable Percentage 2nd income - Salary Where does the CASH money in this household come from? 4 0 0 6.667 3.333 Recoded variable Average expenditure in USD How much CASH money do you use on average for household expenditures (food, fuel for cooking, school bus, etc.)? 4 0 817.657 1330.077 1170.392 Recoded variable Percentage education - Primary What is the educational level of your household members? 4 0 0.241 0.541 0.381 Recoded variable Percentage education - Secondary What is the educational level of your household members? 4 0 0.432 0.741 0.573 Recoded variable Percentage education - Tertiary What is the educational level of your household members? 4 0 0 0.138 0.046 Recoded variable Extrapolated number - Fishers How many fishers live in your household? 4 0 61.25 98 80.854 Recoded variable Extrapolated number - Finfish fishers 4 0 53.333 95.2 73.383 Recoded variable Extrapolated number - Invertebrate fishers 4 0 50 85 68.662 Recoded variable Extrapolated number - Boats Does this household own a boat? 4 0 10 22.5 15.242 Recoded variable Extrapolated number - Canoes 4 0 0 0 0 Recoded variable Extrapolated number - Sailboats Does this household own a boat? 4 0 0 0 0 Recoded variable Extrapolated number - Motorboats 4 0 10 22.5 15.242 Recoded variable Extrapolated average nnumber - Boats Does this household own a boat? 4 0 0.4 0.562 0.457 Recoded variable Extrapolated annual Finfish - Catch Where do you normally get your fish and seafood from? 4 0 26.143 50.156 36.696 Recoded variable Extrapolated annual Finfish - Subsistence Where do you normally get your fish and seafood from? 4 0 7.995 20.926 13.506 Recoded variable Extrapolated annual Finfish - Export Where do you normally get your fish and seafood from? 4 0 17.421 34.356 23.19 Recoded variable Number of people per - Fishing ground area 4 0 0.551 12.018 3.632 Recoded variable Number of people per - Reef area 4 0 1.302 14.93 5.173 Recoded variable Number of household per - Fishing ground area 4 0 0.12 2.096 0.629 Recoded variable Number of household per - Reef area 4 0 0.23 2.604 0.889 Recoded variable Number of Finfish fishers per - Fishing ground area 4 0 0.256 4.751 1.419 Recoded variable Number of Finfish fishers per - Reef area 4 0 0.53 5.902 1.999 Recoded variable Number of boats per - Fishing ground area 4 0 0.0526 0.838 0.26 Recoded variable Number of boats per - Reef area 4 0 0.0922 1.042 0.378 Recoded variable Annual Finfish fisher - Subsistence catch per household 4 0 319.817 523.138 397.807 Recoded variable Annual Finfish fisher - Export catch per household 4 0 570.902 818.004 702.917 Recoded variable Annual Finfish fisher - Catch per FG area 4 0 0.125 2.503 0.738 Recoded variable Annual Finfish fisher - Catch per Reef area 4 0 0.246 3.11 1.033 Recoded variable Finfish fishers - Technique Handline 4 0 37.681 59.524 49.046 Recoded variable Finfish fishers - Technique Castnet 4 0 0 0 0 Recoded variable Finfish fishers - Technique Speardive 4 0 6.122 24.074 14.873 Recoded variable Finfish fishers - Technique Spear walk canoe 4 0 3.704 16.327 10.184 Recoded variable Finfish fishers - Technique Deep bottom line 4 0 0 0 0 0 4 Recoded variable Finfish fishers - Technique Gillnet 4 0 20.37 28.571 23.623 Recoded variable Finfish fishers - Technique Other 4 0 0 7.246 2.275 Recoded variable Finfish fishers - Catch per hour 4 0 1.415 2.282 1.76 Recoded variable Extrapolated yearly weight (kg) caught by the community - Acanthuridae 4 0 1659.469 3918.539 2762.053 Recoded variable Extrapolated yearly weight (kg) caught by the community - Albulidae 4 0 0 0 0 Recoded variable Extrapolated yearly weight (kg) caught by the community - Balistidae 4 0 67.788 1129.96 601.284 Recoded variable Extrapolated yearly weight (kg) caught by the community - Belonidae 4 0 0 634.911 270.174 Recoded variable Extrapolated yearly weight (kg) caught by the community - Caesionidae 4 0 0 0 0 Recoded variable Extrapolated yearly weight (kg) caught by the community - Carangidae 4 0 378.112 3418.161 1721.078 Recoded variable Extrapolated yearly weight (kg) caught by the community - Chanidae 4 0 0 1560.145 416.977 Recoded variable Extrapolated yearly weight (kg) caught by the community - Cirrhitidae 4 0 0 0 0 Recoded variable Extrapolated yearly weight (kg) caught by the community - Exocoetidae 4 0 0 0 0 Recoded variable Extrapolated yearly weight (kg) caught by the community - Gerreidae 4 0 135.575 1578.1 773.829 Recoded variable Extrapolated yearly weight (kg) caught by the community - Hemiramphidae 4 0 255.047 1580.77 643.139 Recoded variable Extrapolated yearly weight (kg) caught by the community - Holocentridae 4 0 0 1293 623.708 Recoded variable Extrapolated yearly weight (kg) caught by the community - Kyphosidae 4 0 0 0 0 Recoded variable Extrapolated yearly weight (kg) caught by the community - Labridae 4 0 0 0 0 Recoded variable Extrapolated yearly weight (kg) caught by the community - Lethrinidae 4 0 6532.639 20468.814 13767.15 Recoded variable Extrapolated yearly weight (kg) caught by the community - Lutjanidae 4 0 819.498 7684.961 3095.753 Recoded variable Extrapolated yearly weight (kg) caught by the community - Mugilidae 4 0 512.993 3699.792 2254.598 Recoded variable Extrapolated yearly weight (kg) caught by the community - Mullidae 4 0 101.682 1911.511 784.568 Recoded variable Extrapolated yearly weight (kg) caught by the community - Other 4 0 1588.029 5635.864 3670.955 Recoded variable Extrapolated yearly weight (kg) caught by the community - Platycephalidae 4 0 0 0 0 Recoded variable Extrapolated yearly weight (kg) caught by the community - Priacanthidae 4 0 0 0 0 Recoded variable Extrapolated yearly weight (kg) caught by the community - Scaridae 4 0 373.209 2602.56 1120.1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Serranidae 4 0 1730.399 4785.488 3515.298 Recoded variable Extrapolated yearly weight (kg) caught by the community - Siganidae 4 0 0 875.719 495.643 Recoded variable Extrapolated yearly weight (kg) caught by the community - Sphyraenidae 4 0 0 451.216 179.802 Recoded variable