VUT_2002_2003_SES_PROCFISH_v01_M_v01_A_ESS DDI_VUT_2002_2003_SES_PROCFISH_v01_M_v01_A_ESS_FAO Statistics for Development Division Statistics Division Nesstar Publisher Socio-Economic Survey PROCFish/C 2006 VUT_2002_2003_SES_PROCFISH_v01_M_v01_A_ESS Coastal Fisheries Programme Reef Fisheries Observatory Vanuatu Fisheries Department Vanuatu Cultural Centre Nautilus Scuba Dive Tranquility Dive Nesstar Publisher European Commission Coastal Fisheries Programme Socio-Economic/Monitoring Survey [hh/sems] In late 2003/early 2004, the Pacific Community (SPC) conducted a survey of several Pacific regional fisheries authorities to identify the types of socioeconomic information needed to support reef fisheries management. In 2007, PROCFish/C project conducted fieldwork in Cook Islands in four different sites. Socio-economics Fisheries Finfish Invertebrates Consumption Subsistence Gift Sale Fishing techniques Habitat Vanuatu In Vanuatu, the four sites selected for the survey were Paunangisu and Moso on the island of Efate, and Uri-Uripiv and the Maskelyne Archipelago, either on or close to Malakula Island. Households The survey covered de jure household members. All household members responding to the Finfishers and Invertebrate Fishers questionnaires were required to be 15 years of age or older and to be usual members of the surveyed household. Sample survey data [ssd] Face-to-face [f2f] A software programme (SEMCoS) has been developed in tandem with this manual to assist in automatically performing all necessary analyses and producing outputs from the data collected. "Pacific Community's Coastal Fisheries Programme, Vanuatu PROCFish/C - Socio-Economic survey 2002-2003 (SE-PROCFISH 2002), Version 01 of the public-use dataset (2003), 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_VUT_2002_SEprocfish_Households_v01_PUF.NSDstat This file is the "Households" dataset of the 2002-2003 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Vanuatu. It contains information collected using the "Household Census and Consumption Survey" form. 124 56 Nesstar 200801 Coastal Fisheries Programme (SPC). Version 01: This is the final, clean, labelled and anonymized version of the Master file. SPC_VUT_2002_SEprocfish_FinfishF_v01_PUF.NSDstat This file is the "Finfish Fishers" dataset of the 2002-2003 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Vanuatu. It contains information collected using the "Fishing (Finfish) and Marketing Survey" form. 119 118 Nesstar 200801 Coastal Fisheries Programme (SPC). Version 01: This is the final, clean, labelled and anonymized version of the Master file. SPC_VUT_2002_SEprocfish_InvertebrateF_v01_PUF.NSDstat This file is the "Invertebrate Fishers" dataset of the 2002-2003 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Vanuatu. It contains information collected using the "Invertebrate Fishing and Marketing Survey" form. 168 79 Nesstar 200801 Coastal Fisheries Programme (SPC). Version 01: This is the final, clean, labelled and anonymized version of the Master file. SPC_VUT_2002_SEprocfish_Sites_v01_PUF.NSDstat This file is the "Sites" dataset of the 2002-2003 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Vanuatu. It contains information collected throughout all the questionnaire forms concerning the different sites that were surveyed in Vanuatu (Paunangisu and Moso on the island of Efate, and Uri-Uripiv and the Maskelyne Archipelago, either on or close to Malakula Island). 4 93 Nesstar 200801 Coastal Fisheries Programme (SPC). Version 01: This is the final, clean, labelled and anonymized version of the Master file. Site 124 0 1 4 1 Maskelynes 31 2 Moso 26 3 Paunagisu 38 4 Uri-Uripiv 29 Household Code 124 0 Date 124 Number of people in the Household How many people ALWAYS live in your household? 124 0 1 13 5.46 1 2 2 4 3 14 4 23 5 24 6 17 7 27 8 5 9 4 10 1 11 1 12 1 13 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) 124 0 0 1 0 No 97 1 Yes 27 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) 124 0 0 1 0 No 52 1 Yes 72 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) 124 0 0 1 0 No 111 1 Yes 13 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) 124 0 0 1 0 No 110 1 Yes 14 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) 124 0 0 1 0 No 76 1 Yes 48 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) 124 0 0 1 0 No 92 1 Yes 32 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) 124 0 0 1 0 No 120 1 Yes 4 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) 124 0 0 1 0 No 108 1 Yes 16 Household gets remittance Do you get remittances? 124 0 0 1 0 No 91 1 Yes 33 Amount (USD) of remittance How much? (enter amount) Every time? 124 0 0 879.552 33.901 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.)? 124 0 0 4777.332 857.03 Extrapolated yearly consumption in Kg for an adult male in the HH - Fresh fish 124 0 0.573 89.808 16.397 Extrapolated yearly consumption in Kg for an adult male in the HH - Canned fish 124 0 0 110.804 9.12 Extrapolated yearly consumption in Kg for an adult male in the HH - Invertebrate 124 0 0 98.279 4.061 Frequency - Consumption of fresh fish 124 0 0.0767 6.981 1.904 Frequency - Consumption of seafood 124 0 0 6 1.15 Frequency - Consumption of canned fish 124 0 0 7 2.123 Number of Male in the HH - Fishing finfish (exclusively) 124 0 0 5 0.565 0 72 1 41 2 7 3 2 4 1 5 1 Number of Female in the HH - Fishing finfish (exclusively) 124 0 0 2 0.0806 0 116 1 6 2 2 Number of Male in the HH - Fishing invertebrate (exclusively) 124 0 0 1 0.0323 0 120 1 4 Number of Female in the HH - Fishing invertebrate (exclusively) 124 0 0 2 0.516 0 68 1 48 2 8 Number of Male in the HH - Fishing both finfish and invert. 124 0 0 5 0.863 0 63 1 34 2 15 3 7 4 3 5 2 Number of Female in the HH - Fishing both finfish and invert. 124 0 0 4 0.621 0 75 1 32 2 8 3 7 4 2 Number of Male in the HH - Fishers 124 0 0 5 1.46 0 15 1 66 2 25 3 11 4 3 5 4 Number of Female in the HH - Fishers 124 0 0 4 1.218 0 26 1 64 2 22 3 5 4 7 Number of fishers in the HH How many fishers live in your household? 124 0 0 8 2.677 0 5 1 20 2 49 3 19 4 13 5 8 6 6 7 3 8 1 Number of canoes owned by the HH 124 0 0 4 0.968 0 35 1 67 2 16 3 3 4 3 Number of sailboats owned by the HH 124 0 0 1 0.0161 0 122 1 2 Number of motorboats owned by the HH 124 0 0 1 0.0887 0 113 1 11 Number of boats owned by the HH Does this household own a boat? 124 0 0 4 1.073 0 29 1 66 2 23 3 3 4 3 Main Source of Fish - Caught 124 0 0 1 0 No 27 1 Yes 97 Main Source of Fish - Given 124 0 0 1 0 No 120 1 Yes 4 Main Source of Fish - Bought 124 0 0 1 0 No 100 1 Yes 24 2nd Source - Fish - Caught 124 0 0 1 0 No 109 1 Yes 15 2nd Source - Fish - Given 124 0 0 1 0 No 75 1 Yes 49 2nd Source - Fish - Bought 124 0 0 1 0 No 105 1 Yes 19 3rd Source - Fish - Caught 124 0 0 1 0 No 122 1 Yes 2 3rd Source - Fish - Given 124 0 0 1 0 No 114 1 Yes 10 3rd Source - Fish - Bought 124 0 0 1 0 No 116 1 Yes 8 Main Source of Invertebrate - Caught 124 0 0 1 0 No 23 1 Yes 101 Main Source of Invertebrate - Given 124 0 0 1 0 No 121 1 Yes 3 Main Source of Invertebrate - Bought 124 0 0 0 0 No 124 1 Yes 0 2nd Source - Invertebrate - Caught 124 0 0 0 0 No 124 1 Yes 0 2nd Source - Invertebrate - Given 124 0 0 1 0 No 122 1 Yes 2 2nd Source - Invertebrate - Bought 124 0 0 0 0 No 124 1 Yes 0 3rd Source - Invertebrate - Caught 124 0 0 0 0 No 124 1 Yes 0 3rd Source - Invertebrate - Given 124 0 0 0 0 No 124 1 Yes 0 3rd Source - Invertebrate - Bought 124 0 0 0 0 No 124 1 Yes 0 Nb people having achieved - Primary 124 0 0 8 2.847 0 5 1 17 2 39 3 27 4 18 5 6 6 10 7 1 8 1 Nb people having achieved - Secondary 124 0 0 5 0.589 0 72 1 35 2 15 3 1 5 1 Nb people having achieved - Tertiary 124 0 0 1 0.0726 0 115 1 9 Unique Household ID 124 0 1 0104E761-7FC7-4A00-B797-310A966838CD 2 06C23F48-F8B6-414A-9DC5-96966D3A0926 3 08CDDB8D-8AC4-4F8F-AD1B-03283052078B 4 09D8B944-CD0F-450A-BA82-A377CC93BD59 5 0F8242F2-E12B-4365-A01B-5F54E215C4DA 6 10B4E951-C689-4D53-B5E9-AC2C194328E0 7 116F8CB6-4525-4CE5-8309-36488B30AA8F 8 1519645F-DFA0-4104-80EC-4F9A170489BA 9 176666AB-7E3B-49B7-8B56-49830FD833AC 10 19E11DD7-F2C7-46EF-88ED-B77B695A9DF6 11 1A9FC351-8ADD-4B32-AD7B-5DCD46869572 12 1B6EDBB3-1698-42B4-97AA-1C620AD7850C 13 1DD1070F-06C2-47A5-B3BA-28BEC1238559 14 1FDDBEF9-7382-460E-97D1-0F8121EFE237 15 205CBA4C-E41A-41E2-A0BD-E286E8D9EEC1 16 26709AB9-0567-49A6-937B-F5815F4AA86E 17 269FEB12-5FCA-42EF-9437-FDC22C1E32C8 18 270D98EE-D571-4325-B5E6-17DB96069E52 19 27509509-BCBA-47AC-B0A2-F933A997D1A0 20 2934A735-3DC0-4B78-8093-3E0E9B8A751C 21 2F2C83CA-F056-4783-BBBF-71D57920CFFC 22 30383903-C981-4B7E-8397-9DC156F99234 23 30D8D5F7-498E-424D-83DE-102CF6623068 24 33801623-1BD1-4B81-9B4B-55837BD4AD37 25 379F1A28-50DF-437F-9099-BC49BBFC891A 26 39F780D4-983A-4F0B-ADF3-DF465044ACAB 27 3E9FBA71-F219-4F0A-A803-D096B26FB71E 28 3FACAA4F-BD70-4F89-88FA-73193D84626C 29 40A6D43D-D9CE-471F-ABFB-86819F14C17E 30 4127EC3C-939C-4513-8D6E-2CB7A171E884 31 42C50389-42E4-4655-8322-B9CB4FB6B63F 32 436A1641-F3E3-4A63-B876-91E768CB3493 33 44BE586B-8FB3-40F9-A3F5-3BE00A7FB152 34 4E067452-04B2-4994-AB13-0C09D4239863 35 4F4DF9C6-76AA-4D35-AED7-55F866453B0F 36 52E42DF7-F051-4D42-9C90-0A164E44276F 37 5690BECC-045E-4AF2-8743-39E02F340486 38 5F9970A7-167F-46CE-943C-91FEACEA4F88 39 63092715-A6D5-4D4B-A7B5-0721E9C77CA9 40 64C7331B-879D-4CC4-BEAD-A820498E3706 41 681FF1B2-E687-4382-8297-9A5718037995 42 6D02D58D-22EC-4FBC-8284-BDCF98D5CCE4 43 6F00E9D8-B8B6-42F0-9811-7890A3CAE1DE 44 70B3B36C-3AB2-40FD-BAF1-433C11D22DC4 45 7279172F-6B4C-4F84-9CB1-33715D58498A 46 743EA6C8-5D0B-434E-9E56-6BA9C6810A3F 47 74D02761-5B5E-4395-B7C1-2626FAC0BF71 48 77651F60-F981-464F-B50B-F55499CD5409 49 786E9553-520C-4DBD-8B59-40DF50F14E17 50 78CD11AE-702F-4C0E-83FF-18EC3DEB349B 51 79C264D6-38D1-43E1-BF44-3CA4F79FE0B7 52 7DEDAA36-A3A4-4C65-A5BC-C30A2401D207 53 7F22F8D7-4BFA-432A-866C-DFED7E9B11FD 54 813CB3CA-847D-43CA-B7AD-E4FF91EB0A4C 55 83B0D4AE-DBF2-45EE-9C8F-C7E7A3D36B19 56 8696C131-A2E3-43F3-96B0-43AEB09AD62D 57 8713A530-6517-4F48-8D6E-5E745FC6F343 58 89F69ED1-F9F6-4E75-B048-1A5C1634F05E 59 8AE8CFDB-CFFA-4836-A6E9-A756529E4EA6 60 8BA3DD5C-E12D-4887-B376-C38A187AB006 61 8D584FB5-AC74-451A-AF09-636F88C86519 62 8D73D2C4-CDBE-48B1-AAEB-427A9BBF58FB 63 8E1A43D5-7366-4CDE-87F1-6B828E85957B 64 909314FD-8963-421D-9B53-6E8E4EB84015 65 917E6191-7AFE-4E61-801B-BBB815EA0F68 66 92284E14-F51B-4CBB-AB19-81DF2010DB4E 67 938AC6F4-9E20-4399-95A1-BBF1F00C24FF 68 9963EACF-35F6-439E-8BA9-5C62A6F0473E 69 99B7EC30-DB86-4951-AFAC-3742BF1F501D 70 9AD77252-760B-43EE-9AB2-EEA8B05307EF 71 9D4B6A4A-1E9F-4EE0-9AD2-AD48E7487FF3 72 9F2C961E-1D7E-438D-8F15-D7DFE74EBAA0 73 A1503EC1-FC4D-474C-83C8-BEFC4C9C7E91 74 A18BC9EE-3865-4C1E-9D7B-A21524A293BB 75 A91F6220-B51B-4CF3-A505-36F81ECA3F97 76 AA2C3099-363B-4FF3-B9F2-2FB4E2FA8D19 77 AD42638A-E4C0-4135-8668-194A14F18BBB 78 AF0FC7D8-2693-490F-9F8E-6C3325A01805 79 AF47FF7B-33E4-41F7-9F78-0BDAC5D56263 80 AFE72A17-4B0F-458E-9A33-E07C2D63146A 81 B0E3FBCC-6721-4F4D-B21A-59ABD18DBB85 82 B199238E-084B-4EE5-8C52-F9599749619F 83 B2C2ED18-5711-4167-AAC1-8D6CAE44F46D 84 B444BE3C-EAB8-4BCB-87AC-98B69E490DD6 85 B4B33645-32FF-4167-9076-309432E5BA32 86 B65928F7-DF3C-4992-A4E3-50873C477B98 87 BA5A133E-99FF-4381-B80B-635C02D0716A 88 BAE149B5-D9A3-4E6D-8AC6-1913D11B9CF4 89 BB66F227-A2CC-4A9E-BCA9-F111278649AB 90 BB9CB75E-608E-4CD1-B4A5-BC2224F92DDA 91 C1494A95-659B-47EC-84E5-600335C1385A 92 C4631FCB-4EDC-4D8E-95C3-F142E797D278 93 C4FCDDA2-A504-4EB3-BC02-A7190329E585 94 C656395F-1A47-49AF-BAF7-B3A3B09B0570 95 C6DD0EA9-B396-4064-95AA-2D87C48E9ABE 96 C9F0BFE6-E810-4214-910D-A2C9E6E02A08 97 CAC51566-B1FE-45D7-B888-B4E8414F0758 98 D067C7BC-EFD2-4C71-BD31-610921BC40C3 99 D0A47282-4553-4E74-A88F-2F342E3408C1 100 D1037286-0A11-491B-809C-A9A67B8920FE 101 D1169BA4-BA84-4F21-B998-D07E7B98BE76 102 D1C58516-1067-432D-BA54-4A7CD9D87153 103 D1D7EE30-D2C9-45F7-84B1-3B74AC1D9200 104 D3B5C886-A9CD-4468-B3FE-1C7D55217D33 105 D5929ABE-5030-4F80-A4C6-8E7DE5455D80 106 D62A8765-C74E-479E-9F8D-B22EB45084CE 107 D6E694D2-5049-40F2-910D-6D541C9CFED6 108 D79A66CC-5262-4CF9-90A9-BE3D7B699150 109 D9B61B52-F652-412C-A8E0-8AFABB5205FC 110 D9BF437D-7FAB-439E-9125-4C0A81AA1B09 111 DC349048-D948-4938-8A0A-A7DF7169A4C2 112 DD85322C-B82A-4C39-9E79-176D0B19DD86 113 DE67574C-96D2-4CDD-B77D-022A1DF21051 114 E44470EB-5BDC-4C19-9668-B3C2B560CA63 115 E6662DC5-E6FC-4C51-A9E0-593A28F03C99 116 EADE58C7-5DB7-4D68-A5CF-3DF9059900CC 117 EBBD45E5-D927-4694-9A34-B251A41F18B1 118 EFA99B52-1899-49E3-AF56-8B25F88613EE 119 F2CC2685-9D34-4F6C-91A6-B7BFF443463D 120 F4CB314C-F864-45A1-9952-CD884E73F3E3 121 F93D5266-991E-4C50-AF4A-D01E2E4C56E2 122 FCBBCBE4-907D-440B-A3E1-C8714E0B7CA8 123 FD838B4A-1C0B-43FC-83D9-B30A58ED17A8 124 FF770ED9-C9BC-4DEA-B637-2243FBD38563 Site 119 0 1 4 1 Maskelynes 37 2 Moso 29 3 Paunagisu 24 4 Uri-Uripiv 29 Household code 119 0 Gender of fisher 119 0 1 2 1 Male 99 2 Female 20 Habitat - Coastal 119 0 0 1 0 No 42 1 Yes 77 Habitat - Lagoon 119 0 0 1 0 No 87 1 Yes 32 Habitat - Outer reef 119 0 0 1 0 No 101 1 Yes 18 Habitat - Passe 119 0 0 0 0 No 119 1 Yes 0 Habitat - Magrove 119 0 0 1 0 No 117 1 Yes 2 Habitat combination Which areas do you fish? 119 0 1 5 1 Coastal 67 2 Coastal + Lagoon 10 3 Lagoon 22 4 Mangrove 2 5 Outer reef 18 Average catch per trip (kg) What is your average catch (kg) per trip? 119 0 0.193 32.202 6.574 Kept catch (kg) How much of your usual catch do you keep for family consumption? 119 0 0 28.927 1.552 Given catch (kg) and the rest you gift? 119 0 0 10.641 1.272 Sold catch (kg) and/or sell? How much? 119 0 0 28 3.718 Fish for family consumption Do you use your catch for family consumption? 119 0 0 1 0 No 4 1 Yes 115 Give fish as a gift Do you give fish as a gift (for no money)? 119 0 0 1 0 No 27 1 Yes 92 Sell fish Do you sell fish? 119 0 0 1 0 No 67 1 Yes 52 Fishing time - Daytime 119 0 0 1 0 No 2 1 Yes 117 Fishing time - Night 119 0 0 1 0 No 59 1 Yes 60 Fishing time WHEN do you go fishing? 119 0 1 3 1 Day 59 2 Night 2 3 Day and Night 58 Yearly hours What time do you spend fishing this habitat per average trip? 119 0 4.164 1302.857 217.623 Recoded variable. Fishing months Do you go all year? 119 0 2 12 10.277 2 1 3 1 5 6 6 9 7 2 8 8 9 13 10 3 11 3 12 73 Recoded variable Trips per week How often (days/week) do you fish in each of the habitats visited? 119 0 0.0384 6 1.347 Time spent fishing (in month) How often (days/week) do you fish in each of the habitats visited? 119 0 1.5 12 4.412 Recoded variable Boat use - Always 119 0 0 1 0 No 24 1 Yes 95 Boat use - Sometimes 119 0 0 1 0 No 105 1 Yes 14 Boat use - Never 119 0 0 1 0 No 109 1 Yes 10 Boat use Do you use a boat for fishing? 119 0 1 3 1 Always 95 2 Never 10 3 Sometimes 14 Preservation method - Ice - Always 119 0 0 1 0 No 116 1 Yes 3 Preservation method - Ice - Sometimes 119 0 0 1 0 No 109 1 Yes 10 Preservation method - Ice - Never 119 0 0 1 0 No 13 1 Yes 106 Preservation method - Ice Do you use ice on your fishing trips? 119 0 1 3 1 Always 3 2 Never 106 3 Sometimes 10 Fishing technique - Handlining 119 0 0 1 0 No 49 1 Yes 70 Fishing technique - Castnetting 119 0 0 1 0 No 117 1 Yes 2 Fishing technique - Speardiving 119 0 0 1 0 No 67 1 Yes 52 Fishing technique - Deep bottom handlining 119 0 0 0 0 No 119 1 Yes 0 Fishing technique - Gillnetting 119 0 0 1 0 No 76 1 Yes 43 Fishing technique - Spear while walking/canoeing 119 0 0 1 0 No 94 1 Yes 25 Fishing technique - Other 119 0 0 1 0 No 117 1 Yes 2 Total catch per year (kg) What is your average catch (kg) per trip? 119 0 0.644 1592.381 295.559 Recoded variable Size (cm) - Acanthuridae 119 0 16 2 16.6917621040992 1 17.7693022504141 1 18.8977336641853 1 20 2 24 7 25.7858329062019 1 27.1921554487072 1 28 1 28.1380048141214 1 32 6 32.9752982586545 1 33.6524156880704 1 34.0612991252455 2 34.2318454966797 1 34.7310553524146 1 35.5080555555556 1 40 3 42.0735596314 1 NULL 84 Size (cm) - Albulidae 119 0 24 1 32.9177382793467 1 40 1 NULL 116 Size (cm) - Balistidae 119 0 10.6666666666667 1 16 10 17.6662354463131 1 18.6666666666667 1 24 4 27.6923811228447 1 32 5 32.9177382793467 1 33.0765853456488 1 34.7310553524146 1 35.5080555555556 1 36 1 40 1 8 1 NULL 89 Size (cm) - Belonidae 119 0 NULL 119 Size (cm) - Caesionidae 119 0 NULL 119 Size (cm) - Carangidae 119 0 16 4 20 1 24 3 24.9605660647661 1 25.4185395088268 1 26.4097825485531 3 26.6666666666667 1 27.4285714285714 2 28.9219675781716 1 32 14 34.7310553524146 1 36 1 40 3 46.7461505040841 1 47.5 1 48 1 50 2 NULL 78 Size (cm) - Chanidae 119 0 NULL 119 Size (cm) - Cirrhitidae 119 0 NULL 119 Size (cm) - Gerreidae 119 0 16 4 16.3875666385061 1 17.0599952195044 1 19.0339794754846 2 21.3333333333333 1 24 2 25.4185395088268 1 NULL 107 Size (cm) - Hemiramphidae 119 0 NULL 119 Size (cm) - Holocentridae 119 0 16 2 20 1 24 2 25.4185395088268 2 26.4097825485531 1 27.6923811228447 1 32 3 NULL 107 Size (cm) - Kyphosidae 119 0 16 1 20 1 24 1 32 3 35.5555555555556 1 39.3846153846154 1 40 1 NULL 110 Size (cm) - Labridae 119 0 24 1 NULL 118 Size (cm) - Lethrinidae 119 0 13.3333333333333 2 16 11 17.3133867982727 1 17.3333333333333 1 17.7693022504141 1 18.2857142857143 1 18.6666666666667 3 18.9473684210526 1 19 1 19.0339794754846 2 19.0769230769231 1 19.2 1 19.8726569555542 1 20 4 21.3333333333333 3 22 1 22.7692307692308 1 23 1 24 23 25.3592462342562 1 25.4185395088268 1 26.3668522764494 1 26.400062049174 1 26.4097825485531 1 26.6666666666667 3 26.8728103062819 1 27.2 1 27.4285714285714 2 28.8 2 29.0264594195069 1 29.3333333333333 1 29.6 1 32 15 36.080905593311 1 38 1 40 1 8 1 NULL 23 Size (cm) - Lutjanidae 119 0 16 1 24 3 25.4185395088268 1 26.4097825485531 1 28 1 32 1 47.5 1 NULL 110 Size (cm) - Mugilidae 119 0 16 4 17.2734119425988 1 17.8719572252709 1 18.6666666666667 1 19.0769230769231 1 20.5714285714286 1 21.3333333333333 1 24 5 25.1428571428571 1 25.1765564005241 2 26.400062049174 1 28 1 28.2302897361616 1 30.4 1 32 5 32.9177382793467 1 40 2 NULL 89 Size (cm) - Mullidae 119 0 16 10 16.6917621040992 1 17.3133867982727 1 18.6666666666667 1 20 1 20.5714285714286 1 21 1 21.3333333333333 2 24 14 25.1428571428571 1 25.4185395088268 2 26.4097825485531 1 28 3 28.2302897361616 1 28.8 1 32 9 8 1 NULL 68 Size (cm) - Other 119 0 24 1 33.6465848188833 1 35 1 42.6498261134171 1 46.7461505040841 1 60 1 NULL 113 Size (cm) - Platycephalidae 119 0 32 1 NULL 118 Size (cm) - Priacanthidae 119 0 NULL 119 Size (cm) - Scaridae 119 0 16 2 20 1 24 9 26.400062049174 1 26.4097825485531 1 27.0435165876154 1 28 4 28.4444444444444 1 29.3333333333333 1 32 4 33.6465848188833 1 34.7390709086226 2 35.5080555555556 1 37.6821847037052 1 39.7233878314305 1 40 2 40.0566027532289 2 44 1 46.9124706336613 1 48 1 50 1 60 1 81.6666666666667 1 NULL 78 Size (cm) - Serranidae 119 0 16 2 19 1 24 2 25.1765564005241 1 28.4444444444444 1 29.3333333333333 1 32 4 33.6465848188833 1 34.7390709086226 1 40 2 60 1 NULL 102 Size (cm) - Siganidae 119 0 16 11 17.1428571428571 1 17.8206306787814 1 18.6666666666667 1 18.9227366847499 1 18.9473684210526 1 20 2 20.5714285714286 1 20.8 1 24 25 24.7742193755004 1 25.4185395088268 1 25.7505375041638 1 26.400062049174 1 26.4097825485531 1 29.3333333333333 1 29.7142857142857 2 32 10 35.2 1 40 1 NULL 54 Size (cm) - Sphyraenidae 119 0 16 1 20 1 32 1 47.5 1 NULL 115 Size (cm) - Average (write down the species in the table) 119 0 10.667 53.889 25.7 Weight percentage - Acanthuridae (write down the species in the table) 119 0 0 0.632 0.0725 Weight percentage - Albulidae (write down the species in the table) 119 0 0 0.167 0.00335 Weight percentage - Balistidae (write down the species in the table) 119 0 0 1 0.0672 Weight percentage - Belonidae (write down the species in the table) 119 0 0 0 0 Weight percentage - Caesionidae (write down the species in the table) 119 0 0 0 0 Weight percentage - Carangidae (write down the species in the table) 119 0 0 0.833 0.0828 Weight percentage - Chanidae (write down the species in the table) 119 0 0 0 0 Weight percentage - Cirrhitidae (write down the species in the table) 119 0 0 0 0 Weight percentage - Exocoetidae (write down the species in the table) 119 0 0 0 0 Weight percentage - Gerreidae (write down the species in the table) 119 0 0 0.583 0.0223 Weight percentage - Hemiramphidae (write down the species in the table) 119 0 0 0 0 Weight percentage - Holocentridae (write down the species in the table) 119 0 0 0.3 0.0192 Weight percentage - Kyphosidae (write down the species in the table) 119 0 0 0.833 0.0235 Weight percentage - Labridae (write down the species in the table) 119 0 0 0.384 0.00322 Weight percentage - Lethrinidae (write down the species in the table) 119 0 0 1 0.3 Weight percentage - Lutjanidae (write down the species in the table) 119 0 0 0.436 0.0167 Weight percentage - Mugilidae (write down the species in the table) 119 0 0 0.5 0.0499 Weight percentage - Mullidae (write down the species in the table) 119 0 0 0.513 0.0708 Weight percentage - Other (write down the species in the table) 119 0 0 0.239 0.00748 Weight percentage - Platycephalidae (write down the species in the table) 119 0 0 0.0834 0.0007 Weight percentage - Priacanthidae (write down the species in the table) 119 0 0 0 0 Weight percentage - Scaridae (write down the species in the table) 119 0 0 0.942 0.103 Weight percentage - Serranidae (write down the species in the table) 119 0 0 0.572 0.0293 Weight percentage - Siganidae (write down the species in the table) 119 0 0 0.654 0.121 Weight percentage - Sphyraenidae (write down the species in the table) 119 0 0 0.391 0.00681 Extrapolated yearly weight (kg) caught by the fisher - Acanthuridae (write down the species in the table) 119 0 0 756.381 25.85 Extrapolated yearly weight (kg) caught by the fisher - Albulidae (write down the species in the table) 119 0 0 217.143 3.741 Extrapolated yearly weight (kg) caught by the fisher - Balistidae (write down the species in the table) 119 0 0 271.429 14.228 Extrapolated yearly weight (kg) caught by the fisher - Belonidae (write down the species in the table) 119 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher - Caesionidae (write down the species in the table) 119 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher - Carangidae (write down the species in the table) 119 0 0 639.71 29.826 Extrapolated yearly weight (kg) caught by the fisher - Chanidae (write down the species in the table) 119 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Cirrhitidae (write down the species in the table) 119 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Exocoetidae (write down the species in the table) 119 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Gerreidae (write down the species in the table) 119 0 0 760 10.951 Extrapolated yearly weight (kg) caught by the fisher Hemiramphidae (write down the species in the table) 119 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Holocentridae (write down the species in the table) 119 0 0 130.286 3.434 Extrapolated yearly weight (kg) caught by the fisher Kyphosidae (write down the species in the table) 119 0 0 462.08 9.229 Extrapolated yearly weight (kg) caught by the fisher Labridae (write down the species in the table) 119 0 0 11.266 0.0947 Extrapolated yearly weight (kg) caught by the fisher Lethrinidae (write down the species in the table) 119 0 0 304 45.688 Extrapolated yearly weight (kg) caught by the fisher Lutjanidae (write down the species in the table) 119 0 0 91.346 2.846 Extrapolated yearly weight (kg) caught by the fisher Mugilidae (write down the species in the table) 119 0 0 608 24.193 Extrapolated yearly weight (kg) caught by the fisher Mullidae (write down the species in the table) 119 0 0 390.857 23.923 Extrapolated yearly weight (kg) caught by the fisher Other (write down the species in the table) 119 0 0 212.683 3.338 Extrapolated yearly weight (kg) caught by the fisher Platycephalidae (write down the species in the table) 119 0 0 1.939 0.0163 Extrapolated yearly weight (kg) caught by the fisher Priacanthidae (write down the species in the table) 119 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Scaridae (write down the species in the table) 119 0 0 1048.859 38.082 Extrapolated yearly weight (kg) caught by the fisher Serranidae (write down the species in the table) 119 0 0 67.22 3.763 Extrapolated yearly weight (kg) caught by the fisher Siganidae (write down the species in the table) 119 0 0 521.143 40.533 Extrapolated yearly weight (kg) caught by the fisher - Sphyraenidae (write down the species in the table) 119 0 0 91.346 1.233 Extrapolated yearly weight (kg) caught by the fisher - All (write down the species in the table) 119 0 0.644 1563.429 280.97 Household ID 119 0 1 0104E761-7FC7-4A00-B797-310A966838CD 2 06C23F48-F8B6-414A-9DC5-96966D3A0926 3 08CDDB8D-8AC4-4F8F-AD1B-03283052078B 4 0F8242F2-E12B-4365-A01B-5F54E215C4DA 5 10B4E951-C689-4D53-B5E9-AC2C194328E0 6 116F8CB6-4525-4CE5-8309-36488B30AA8F 7 1519645F-DFA0-4104-80EC-4F9A170489BA 8 176666AB-7E3B-49B7-8B56-49830FD833AC 9 1B6EDBB3-1698-42B4-97AA-1C620AD7850C 10 1DD1070F-06C2-47A5-B3BA-28BEC1238559 11 1FDDBEF9-7382-460E-97D1-0F8121EFE237 12 205CBA4C-E41A-41E2-A0BD-E286E8D9EEC1 13 269FEB12-5FCA-42EF-9437-FDC22C1E32C8 14 27509509-BCBA-47AC-B0A2-F933A997D1A0 15 2934A735-3DC0-4B78-8093-3E0E9B8A751C 16 2F2C83CA-F056-4783-BBBF-71D57920CFFC 17 379F1A28-50DF-437F-9099-BC49BBFC891A 18 39F780D4-983A-4F0B-ADF3-DF465044ACAB 19 3E9FBA71-F219-4F0A-A803-D096B26FB71E 20 3FACAA4F-BD70-4F89-88FA-73193D84626C 21 40A6D43D-D9CE-471F-ABFB-86819F14C17E 22 42C50389-42E4-4655-8322-B9CB4FB6B63F 23 44BE586B-8FB3-40F9-A3F5-3BE00A7FB152 24 4E067452-04B2-4994-AB13-0C09D4239863 25 5F9970A7-167F-46CE-943C-91FEACEA4F88 26 63092715-A6D5-4D4B-A7B5-0721E9C77CA9 27 64C7331B-879D-4CC4-BEAD-A820498E3706 28 681FF1B2-E687-4382-8297-9A5718037995 29 6D02D58D-22EC-4FBC-8284-BDCF98D5CCE4 30 6F00E9D8-B8B6-42F0-9811-7890A3CAE1DE 31 70B3B36C-3AB2-40FD-BAF1-433C11D22DC4 32 743EA6C8-5D0B-434E-9E56-6BA9C6810A3F 33 77651F60-F981-464F-B50B-F55499CD5409 34 786E9553-520C-4DBD-8B59-40DF50F14E17 35 78CD11AE-702F-4C0E-83FF-18EC3DEB349B 36 79C264D6-38D1-43E1-BF44-3CA4F79FE0B7 37 7DEDAA36-A3A4-4C65-A5BC-C30A2401D207 38 7F22F8D7-4BFA-432A-866C-DFED7E9B11FD 39 813CB3CA-847D-43CA-B7AD-E4FF91EB0A4C 40 83B0D4AE-DBF2-45EE-9C8F-C7E7A3D36B19 41 8713A530-6517-4F48-8D6E-5E745FC6F343 42 89F69ED1-F9F6-4E75-B048-1A5C1634F05E 43 8BA3DD5C-E12D-4887-B376-C38A187AB006 44 8D584FB5-AC74-451A-AF09-636F88C86519 45 8D73D2C4-CDBE-48B1-AAEB-427A9BBF58FB 46 917E6191-7AFE-4E61-801B-BBB815EA0F68 47 92284E14-F51B-4CBB-AB19-81DF2010DB4E 48 99B7EC30-DB86-4951-AFAC-3742BF1F501D 49 9F2C961E-1D7E-438D-8F15-D7DFE74EBAA0 50 A1503EC1-FC4D-474C-83C8-BEFC4C9C7E91 51 A18BC9EE-3865-4C1E-9D7B-A21524A293BB 52 A91F6220-B51B-4CF3-A505-36F81ECA3F97 53 AA2C3099-363B-4FF3-B9F2-2FB4E2FA8D19 54 AD42638A-E4C0-4135-8668-194A14F18BBB 55 AF0FC7D8-2693-490F-9F8E-6C3325A01805 56 AF47FF7B-33E4-41F7-9F78-0BDAC5D56263 57 AFE72A17-4B0F-458E-9A33-E07C2D63146A 58 B0E3FBCC-6721-4F4D-B21A-59ABD18DBB85 59 B2C2ED18-5711-4167-AAC1-8D6CAE44F46D 60 B444BE3C-EAB8-4BCB-87AC-98B69E490DD6 61 BA5A133E-99FF-4381-B80B-635C02D0716A 62 BAE149B5-D9A3-4E6D-8AC6-1913D11B9CF4 63 BB9CB75E-608E-4CD1-B4A5-BC2224F92DDA 64 C4631FCB-4EDC-4D8E-95C3-F142E797D278 65 C4FCDDA2-A504-4EB3-BC02-A7190329E585 66 C656395F-1A47-49AF-BAF7-B3A3B09B0570 67 C6DD0EA9-B396-4064-95AA-2D87C48E9ABE 68 D1169BA4-BA84-4F21-B998-D07E7B98BE76 69 D1C58516-1067-432D-BA54-4A7CD9D87153 70 D1D7EE30-D2C9-45F7-84B1-3B74AC1D9200 71 D5929ABE-5030-4F80-A4C6-8E7DE5455D80 72 D62A8765-C74E-479E-9F8D-B22EB45084CE 73 D79A66CC-5262-4CF9-90A9-BE3D7B699150 74 D9B61B52-F652-412C-A8E0-8AFABB5205FC 75 D9BF437D-7FAB-439E-9125-4C0A81AA1B09 76 DC349048-D948-4938-8A0A-A7DF7169A4C2 77 DD85322C-B82A-4C39-9E79-176D0B19DD86 78 DE67574C-96D2-4CDD-B77D-022A1DF21051 79 E44470EB-5BDC-4C19-9668-B3C2B560CA63 80 EADE58C7-5DB7-4D68-A5CF-3DF9059900CC 81 F4CB314C-F864-45A1-9952-CD884E73F3E3 82 FCBBCBE4-907D-440B-A3E1-C8714E0B7CA8 83 FD838B4A-1C0B-43FC-83D9-B30A58ED17A8 84 FF770ED9-C9BC-4DEA-B637-2243FBD38563 Fisher ID 119 0 1 006CD72C-C93C-4C3E-B407-3B456D8B2BB0 2 0256B23F-56BF-4DFE-8611-BDA22053DA17 3 0A267E87-D843-4978-86A9-B4C6CE139251 4 17DC5AB6-8C4C-4448-BA04-B00D4705591C 5 1867F818-8270-4E1C-978C-8E5C5C38121C 6 1A9FFEDD-F4DE-4DA7-AF5A-A075923575C6 7 1BA66C3C-59EA-409A-88FF-CC6E5CC954EA 8 1C06101E-726D-4E6D-84C3-BDC75913AACC 9 2130AA19-3E0F-4F73-9F69-27AC459B3244 10 2309ACAB-E5CE-4A6F-AFAE-667DA5793E2B 11 2491A73E-FBE3-4259-B1F0-59AA3DDF394C 12 24E1C5F7-2E94-49D4-B98F-FE1A485557BC 13 27D18758-9217-4282-B501-CFFB216C7C0A 14 28734C02-E8DF-4A4D-BAB2-AF98D3AE29D7 15 2A356D64-8721-414F-9129-187CDC29F303 16 2F504F0B-2B60-4402-B641-FD0C66EAC9F6 17 2F8A6136-FA3F-448D-AAF3-EA1E98427F95 18 304E466A-9B7E-471F-A2F4-2D4C9FDA0A76 19 3222C4EF-C084-43F8-963D-F84EF280A215 20 327752A0-D91B-4D32-AE0B-69AE2088A420 21 32A20A84-F42A-4071-AA3F-0DEDC9281922 22 385980F5-2C78-4919-99E7-42A416948E5E 23 3E2E975D-9BCF-4FDE-94D8-8173D5B3F2B6 24 3FFCB907-0EB3-4186-B84C-35FBF9F27D44 25 40944253-00D5-46B5-AE7D-BB654FE15507 26 41483073-E84E-445B-9290-DA0CC912E7F8 27 44273AA1-AED5-48DC-BAC0-631141BA4E0E 28 4502B31F-18E4-4715-839D-521EEA4DDA3A 29 4531DEBB-32E2-4D7A-A589-8E7A022C737B 30 46B0BC39-CF25-4A26-A634-07B6821935BC 31 470394DE-FDC4-4D9A-BD52-CB815EE72D44 32 4727265C-2889-4501-B316-4395665A4F20 33 507116B8-7960-4FCD-981E-B807B56A9DA3 34 511CCC6D-E425-49AE-B2FF-FDCB4430B5AC 35 550AD6C7-35B9-484A-BE2F-89239B152686 36 5672B48E-76FB-4C2D-8103-610DFE9CC32B 37 57D5C105-4F03-421F-8B3B-BFB5EADB7320 38 5D9D1A30-0949-4186-AAB9-2D1D708B8288 39 6559C399-52CE-4D6E-8089-E7837E28B31C 40 68F3A3B3-08C2-4850-A5BF-C04BEC1DD1F2 41 6997C4BE-FA39-407C-9EC7-BD308EEF877C 42 6ED128A6-AEA2-4468-9396-FB6352EAC1A2 43 7646C45D-FFD7-451F-9A9E-F386E27EA8CB 44 7AF88F59-1E6B-430B-81D2-162D10966859 45 7BA998A3-5EDD-4742-9AAF-2CBFEF299E42 46 8118911C-06B4-4A1D-A4EA-6098219BA350 47 82DD5683-9931-40C3-BC8D-A8CF17A877F0 48 833C4444-321B-41D6-BEEB-88F3E577D3A9 49 8515842A-F107-458F-B3E4-2AC4AA4C3D9D 50 856C02CA-37EC-4401-AD9E-4FF5B5ADA328 51 86C58E79-52C9-4548-8830-6EEB3B6DD35F 52 891D9876-71D5-4E33-98B8-8532A91FB057 53 8D63B8D8-2D1B-4DC7-810B-3AA456ED589A 54 8FD48883-5B1A-4040-A6E4-95E2894B34B4 55 900D4C30-B220-4ADB-9B2C-4BA30DCF1704 56 91724CC0-74A0-4B50-97D1-41A9EB2A1B9D 57 95A5C8FF-A949-4A17-9FDF-D9DC4F25E3B2 58 965626FD-8541-42E7-8CAF-70E2675F49E5 59 9DFC6712-6368-4BB8-B4E1-DAFC50F72C39 60 A2FCA1D8-E799-4AEF-8B65-9B5D3BDA5EE2 61 A491B0C9-4FF5-45EF-8834-7036CB7B1EB7 62 A67CAD66-BA12-4A71-B4D5-B2C2EA3E2D0D 63 AE4366DD-0838-484A-985E-22923DAD69EE 64 B78E8B8C-BA1D-4FD4-8097-550213A6B5A2 65 B9557894-FBE2-4D1E-990A-7E4A12E6BCC7 66 B9782E57-64A1-40DB-B8E1-8911162D7AC1 67 BC9BE0A5-232A-473F-BF79-DC6126B6EFA1 68 BD18C6F7-27BE-4500-B447-DED2539A3859 69 C079E04F-A9BC-4783-94F8-69FC4565738F 70 C2A448E7-1BEE-4D8B-B878-7744ADEAE592 71 C67439C4-72A0-47BE-B954-C9BD92E4484C 72 C9F220E1-3892-4044-9B7D-5BAC2B22883E 73 CAD29EE2-FF60-4C9F-BFC3-63F008DE0830 74 CB903ACD-7231-4C99-BB7D-BC7449F1C6B2 75 CBD9DB91-5711-4B6E-8BAD-75DDA2E2DE3B 76 CF3F2BA2-932F-4434-886A-9EEC61194439 77 CF7DD50E-A6D3-4A77-B6B3-AD7E0057F248 78 D02AC2CF-DC97-40C4-BEE5-5208E8F25508 79 D1DF7B24-DCD9-4CA5-8DF9-8FC1DD68663D 80 D35573A6-3DAE-4CAD-AD1A-502D4C15E77D 81 D7CE1147-90DE-44FB-A2B1-E05E7F88B121 82 DECF21D7-DF89-4725-8D5D-3DF2606DD01D 83 DEE9F034-9AE6-4669-ABEE-A8ECA09FD7F2 84 DF7183D8-8E3E-4F5A-B1B9-F8C49756CA04 85 E43508B4-9382-48DD-B6E7-5F4ED0FCBCF6 86 E792106E-A2DE-42DD-96FF-D8638F92D138 87 E85F5441-3584-4CBE-92E1-7C4654A035B5 88 ED963A39-A5FD-4907-919D-69868A503B25 89 EFD468FF-1CF8-4E6D-8A21-0D4CE8BEF540 90 F11EA592-8384-468E-BF7E-762F557AE87B 91 F176C035-F84C-4B52-92B5-77DFC6154FB6 92 F9A4D32F-5EA1-4A76-A9A6-445AAC310901 93 FA7E1891-4398-4678-984A-8D9E081968F3 94 FABB3291-5712-436C-95DD-5C9D82B4A00F 95 FC1B3A60-07B5-42BA-80C7-CB1507F6C6BE 96 FD1B3796-5542-4918-A868-4B70EF99F388 97 FDC5E92F-735B-4A7B-8080-A7A375384539 98 FEC3C34B-390C-4EE7-B074-5EA6F325A11E Fishery Survey ID 119 0 1 01EDA558-5B51-4EF2-A5D7-B05D9CF862EB 2 038B2638-161D-45F3-A5ED-F09D54500D3C 3 09FB9781-E6ED-481A-BC39-2647CC1E5436 4 0DD4CD00-2715-4333-92A5-FCE78F0727FB 5 0ED49AB1-890D-454B-9D18-100F09FB037F 6 14E2D6D2-7781-44A3-8B5B-C4BA94DB4942 7 1542246E-00C6-46D6-85E6-66713F440D80 8 15438B34-E9AD-4433-8F94-B5C7DB13384F 9 16BC96AC-E5C3-4418-9797-F826C6B28B29 10 17CF572E-2D42-4018-938E-B7AE5E23A5AE 11 1849620F-40EA-4D91-A515-B38CB9DE488F 12 1CD94C05-83BE-4B69-A0ED-7921272A1215 13 1D872637-EC3B-4A0E-9652-1829782BC3D1 14 24E9EC43-3DE5-4B75-B8C7-390F70E248D5 15 2A5E53E9-06C4-4ADC-A0F0-42648993DABA 16 2BDD8B2F-78FB-45F0-B95E-C18E87CF268C 17 2C0B52D2-612C-49DA-B735-6DE992D87AD1 18 2C592511-4DEF-4B34-8249-38FC3FD17C02 19 30F74700-29CA-47A0-BD74-44EF941562F3 20 315020EE-2DD7-414B-912E-10B3232EF173 21 357EE5EE-41BB-432C-AD30-F0D05A847C18 22 36181797-DF85-46D5-8218-C6470E378C8F 23 3703835D-40A7-4822-9072-F091E48C39CC 24 39CF69C5-C01A-4C3E-8A28-EBAB6FFD0D42 25 3A8CEAEA-60D8-4502-B313-66F9A906B5D7 26 3E77F685-505D-4930-B24E-34649D7C727E 27 3EA06867-725A-4B24-BD4C-EB384158647F 28 416CD8EE-90A8-4C19-B6BA-B6CE389D45AC 29 41EA7192-C737-496F-AF34-A52FF6008258 30 48353A8B-6BB0-4A16-9234-3D5E739D2A92 31 4B874DD7-5D65-4B0C-AAB2-C99A8939856A 32 4BBFE0A7-B1B6-4C6F-B472-62543CD7E9A6 33 4BD1EB8B-D57B-4816-99E2-B29ACACE5749 34 4D211CA0-1A4A-4D42-9933-CEC09ACD102B 35 4FA5B8A7-E7D2-432B-99FD-2E032617817C 36 50C26CA0-7EF2-4268-B759-571DCC26D376 37 52D3EFB2-E239-43F1-B5C8-A6967CB819CD 38 534985F4-40CD-42E5-851C-4A7633694B7E 39 559E4E52-79D6-4E88-BF36-4FADC1409B4E 40 567EF7F1-5998-4ABE-8055-8DD5D4D65E0F 41 57900D3E-CB9B-433E-B565-B41B12235EFF 42 5842FC61-BB1B-417A-8B57-D841D2B634C7 43 596DE275-9DF5-4476-9C9C-F244C4147D04 44 5B83B9D4-2DF2-4330-9C41-7779D2F32F96 45 5E52CFF8-36D4-4565-848B-A5961B61C880 46 5F4675AE-5BBE-4A18-923D-247BDE1CBABE 47 5F69F2B0-1363-463E-9BB2-42DF1D063CC8 48 6160F863-77B0-427E-9947-38E0B09C8A82 49 62F3E8D7-7B23-4B3B-8C3D-06E83EDFA3D3 50 634DFE53-A9D8-4AAA-AD57-23DF9153BDD2 51 698B2328-11A6-486E-9F56-8061039186CC 52 6C89FDE1-D1AD-4D72-8C95-F9509C54E4C2 53 6DC6EAF3-AF2E-43C9-8AC7-11F8C7580493 54 6F70BD0A-F6DE-4C28-ACCA-3EC06F644C4D 55 7617D74D-101A-455B-97DE-6933AE77636E 56 784DF4A7-A05E-4016-86DF-BD202A3A2B3D 57 791B97DD-B4EE-4C49-8C1C-A09427BDDC21 58 7989D32F-ED61-46DF-8865-E5EFE62BABF9 59 79C9BF40-14A4-4B90-8898-6349F0A9C14C 60 7AC7A549-B33E-4BE9-850A-55607A7C545D 61 7B1F6489-1E01-4F26-8C50-92BD0D6F2EDA 62 7F287FBC-FEE9-41C4-8F39-48CFEED0D6DB 63 81EF75A7-AF92-40B8-8A97-98AFC1DF40ED 64 828A0590-F618-4CB2-ABF4-2E4C63E84575 65 82B4FD97-5AEC-4C05-A321-FD8ABCCB716B 66 85DB6952-519D-43E9-B310-5620F9F0921F 67 86C8F512-0718-472E-ABF3-3CBC534D39C8 68 8789375F-7FB2-45E2-8EFF-F7E85FF971D5 69 8A0995D6-FCA0-4353-A2A3-98AF3E0F6B8D 70 8B1DE58A-0B3A-46B8-8219-E1CBD958D71D 71 8C0EC9D7-3E8B-413F-96B3-A6A451DCAA2A 72 8C25A183-592B-4EB7-803B-AD9E7BA68845 73 8E09AD55-30FE-49B7-9B78-6B0F49EF5832 74 97037E0C-BBAC-4882-BA6F-B4E59F315D37 75 98812409-A124-4DA8-B603-7BAA5F8D2153 76 9A131541-8ED9-40A2-A795-559614D0D44D 77 A0EA2AB0-10D3-412D-9770-107E16F70720 78 A22649D2-3175-4D7F-A2E3-4C2F160E9574 79 A27BEE3B-6B27-40BB-93DE-9F2C832CD9F7 80 A2C97C56-EB08-45F4-9AE6-86C4B6503847 81 A35E2611-D51A-4D92-A2EE-EFDCA40B858B 82 A37ED429-A67A-489C-BE68-38A1F6013CDF 83 A470A29A-D9D6-4CF3-8FAE-96ADCFB1FBB5 84 A5846FC2-4E4D-4C59-AF17-42A8989DDFD8 85 AE63C2BD-F619-4161-8CC4-C226CE220F34 86 AED5E049-4E55-44A2-A7A7-1C919768170A 87 AFA451FD-50C6-427E-8EC0-734918313A00 88 B09545F4-16B9-4F5E-854A-3984B4D8CD53 89 B19C144D-6314-45AD-8397-A58354E4F577 90 B46A7686-0970-4B0C-8011-74CDE8B20286 91 B7AC6C96-A16C-434A-9F98-81B2C68B91CE 92 B7FAFBBB-B067-48BD-A1AF-553B563CC973 93 B904E9F0-3AEC-4CCA-81C3-1F1B2D8DF75C 94 BB62420E-CFFB-4586-A11A-831339595A09 95 BDCEC476-3FDD-4F7A-A61B-40B437A7AD0B 96 BDDE876E-6950-4F02-BF38-4193CD312618 97 BF470BC1-D281-4FFA-9EE3-B68C2BE15012 98 C0BFF696-27E3-456D-AEB2-0302AB800E13 99 C2DC78AC-E217-4FF5-AA9B-C1F86D71F636 100 C7062A6A-C46E-4401-B557-B16AF32CDC11 101 C8AA9315-A57E-48E6-97AE-9F6709C8253D 102 CEF163C9-9937-454C-A2DD-7C75DF7AFF39 103 CF5DF06E-737E-44DB-8714-DC84496CD4A2 104 CFB26E1C-ABCE-4792-B47D-CE930050936A 105 D8D49149-914E-4707-B433-B058C48997C3 106 D97218B1-EB6F-445D-9649-3102A0A37336 107 DCDC3737-7214-4D2C-B172-E9766CF6D48A 108 DD7E1099-D3E4-44DA-92F9-6AA0834F5DAD 109 E0F9555B-CDFD-47BD-BC53-E3D71C8B1341 110 E3362775-8F96-4265-A1E7-2F19B2095404 111 E934C2DC-8466-4171-8365-6980785C3FC2 112 EE45E65A-B24D-4BA5-8FEF-2D29F0045C92 113 EEC1623D-F786-4F0D-87AC-49AC1D1E58AF 114 EFB45353-C1D8-4A7C-BE3A-E432E4F59ECF 115 F0B8EDD8-923C-44C0-85C3-AE79EF68235A 116 F66DEE09-264F-48DE-BE99-626688E42C0B 117 FC188D46-2246-4D85-9B0B-ACE68C3A421C 118 FCB38F99-AD68-40DD-B336-3CD6BDDC118A 119 FE4AF841-0974-41DE-A242-16B90E522186 Site 168 0 1 4 1 Maskelynes 74 2 Moso 35 3 Paunagisu 27 4 Uri-Uripiv 32 Household Code 168 0 Gender of fisher Gender 168 0 1 2 1 Male 90 2 Female 78 Habitat Gleaning - Seagrass 168 0 0 1 0 No 131 1 Yes 37 Habitat Gleaning - Mangrove 168 0 0 1 0 No 115 1 Yes 53 Habitat Gleaning - Sand 168 0 0 1 0 No 144 1 Yes 24 Habitat Gleaning - ReefTop 168 0 0 1 0 No 123 1 Yes 45 Habitat Diving - Beche de mer 168 0 0 1 0 No 159 1 Yes 9 Habitat Diving - Trochus 168 0 0 1 0 No 149 1 Yes 19 Habitat Diving - Lobster 168 0 0 1 0 No 165 1 Yes 3 Habitat Diving - Other 168 0 0 1 0 No 156 1 Yes 12 Habitat combination Which type of fisheries do you do? 168 0 1 14 1 Beche-de-mer 9 2 Seagrass 23 3 Seagrass+Mangrove 1 4 Seagrass+Mangrove+Sand 1 5 Seagrass+Mangrove+Sand+Reef Top 1 6 Seagrass+Sand 4 7 Seagrass+Sand+Reef Top 7 8 Lobster 3 9 Mangrove 50 10 Other 12 11 Reef Top 27 12 Sand 1 13 Sand+Reef Top 10 14 Trochus 19 Fishing time - Daytime 168 0 0 1 0 No 3 1 Yes 165 Fishing time - Night 168 0 0 1 0 No 150 1 Yes 18 Yearly hours 168 0 0.208 325.714 91.082 Fishing time Glean/dive at 168 0 1 3 1.196 1 Day 150 2 Night 3 3 Day and Night 15 Fishing months 168 0 1 12 8.565 1 18 2 5 3 6 4 6 6 32 8 7 10 3 11 1 12 90 Trips per week 168 0 0.0192 5 1.077 Time spent fishing 168 0 1 10 3.583 Going fishing by foot 168 0 0 1 0 No 98 1 Yes 70 Going fishing by boat 168 0 0 1 0 No 54 1 Yes 114 Targeting Beche de mer - High value - Gift 168 0 0 0 0 No 168 1 Yes 0 Targeting Beche de mer - High value - Sale 168 0 0 1 0 No 159 1 Yes 9 Targeting Beche de mer - High value - Subsistence 168 0 0 0 0 No 168 1 Yes 0 Targeting Beche de mer - Low value - Gift 168 0 0 0 0 No 168 1 Yes 0 Targeting Beche de mer - Low value - Sale 168 0 0 1 0 No 160 1 Yes 8 Targeting Beche de mer - Low value - Subsistence 168 0 0 0 0 No 168 1 Yes 0 Targeting Bivalves - Gift 168 0 0 0 0 No 168 1 Yes 0 Targeting Bivalves - Sale 168 0 0 1 0 No 142 1 Yes 26 Targeting Bivalves - Subsistence 168 0 0 1 0 No 100 1 Yes 68 Targeting Crustaceans - Gift 168 0 0 1 0 No 167 1 Yes 1 Targeting Crustaceans - Sale 168 0 0 1 0 No 151 1 Yes 17 Targeting Crustaceans - Subsistence 168 0 0 1 0 No 117 1 Yes 51 Targeting Gastropods - Gift 168 0 0 1 0 No 167 1 Yes 1 Targeting Gastropods - Sale 168 0 0 1 0 No 138 1 Yes 30 Targeting Gastropods - Subsistence 168 0 0 1 0 No 70 1 Yes 98 Targeting Giant Clams - Gift 168 0 0 0 0 No 168 1 Yes 0 Targeting Giant Clams - Sale 168 0 0 1 0 No 158 1 Yes 10 Targeting Giant Clams - Subsistence 168 0 0 1 0 No 125 1 Yes 43 Targeting Lobster - Gift 168 0 0 0 0 No 168 1 Yes 0 Targeting Lobster - Sale 168 0 0 1 0 No 165 1 Yes 3 Targeting Lobster - Subsistence 168 0 0 0 0 No 168 1 Yes 0 Targeting Octopus - Gift 168 0 0 0 0 No 168 1 Yes 0 Targeting Octopus - Sale 168 0 0 1 0 No 154 1 Yes 14 Targeting Octopus - Subsistence 168 0 0 1 0 No 132 1 Yes 36 Targeting Others - Gift 168 0 0 0 0 No 168 1 Yes 0 Targeting Others - Sale 168 0 0 0 0 No 168 1 Yes 0 Targeting Others - Subsistence 168 0 0 1 0 No 157 1 Yes 11 Targeting Sea urchins - Gift 168 0 0 0 0 No 168 1 Yes 0 Targeting Sea urchins - Sale 168 0 0 0 0 No 168 1 Yes 0 Targeting Sea urchins - Subsistence 168 0 0 0 0 No 168 1 Yes 0 Targeting Trochus - Gift 168 0 0 0 0 No 168 1 Yes 0 Targeting Trochus - Sale 168 0 0 1 0 No 147 1 Yes 21 Targeting Trochus - Subsistence 168 0 0 1 0 No 154 1 Yes 14 Average quantity per trip in Kg Beche de mer - High value 168 0 0 154.725 4.161 Average quantity per trip in Kg Beche de mer - Low value 168 0 0 88.451 1.547 Average quantity per trip in Kg Bivalves 168 0 0 24 1.698 Average quantity per trip in Kg Crustaceans 168 0 0 17.513 1.043 Average quantity per trip in Kg Gastropods 168 0 0 25 2.562 Average quantity per trip in Kg Giant clams 168 0 0 46 0.946 Average quantity per trip in Kg Lobster 168 0 0 12 0.125 Average quantity per trip in Kg Octopus 168 0 0 4.125 0.336 Average quantity per trip in Kg Others 168 0 0 2 0.0409 Average quantity per trip in Kg Sea urchins 168 0 0 0 0 Average quantity per trip in Kg Trochus 168 0 0 70 1.431 Extrapolated quantity per year in Kg Beche de mer - High value 168 0 0 3179.243 77.026 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 168 0 0 2888.148 34.313 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Bivalves 168 0 0 846.857 47.282 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Crustaceans 168 0 0 1140.86 36.947 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Gastropods 168 0 0 1085.714 92.175 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Giant clams 168 0 0 217.143 15.232 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Lobster 168 0 0 39.978 0.327 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Octopus 168 0 0 223.929 10.1 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Others 168 0 0 97.714 2.056 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Sea urchins 168 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 168 0 0 244.286 3.642 Variable obtained by calculating the number of species caught per trip in a year Invertebrate Fishery - Survey ID 168 0 1 00B041D3-3B1A-4C21-BDAC-07A19061F100 2 0159C6ED-5100-404C-AF23-7B6A89C973DE 3 019E973D-1577-435E-A1A6-E557173A41C1 4 0A963A58-1DE3-4419-89A8-99A640C2ADC4 5 0DF4CF72-89A4-4D49-A7EA-0B5E82639B56 6 0E9767AD-0535-44D7-89AD-F5579CAB1AE8 7 10A75A6A-75E8-4264-9C34-17AD28AE611C 8 15070D88-3191-4C17-9C14-B986CDFA4EB4 9 15AD1C28-0926-4C4F-ADB3-0C97C4472AFD 10 160E4F75-C812-4AA4-8934-869CC0C750F0 11 1AB4EB09-D972-48BA-AFD2-F51BBAFC100C 12 1E0BFE02-A0C1-41FE-BCB2-AEE748BA9831 13 2000DF2B-0ED5-40C5-B528-3003333CBF23 14 20F9811D-0BC9-4B70-A005-0E1236CB4A12 15 216B8016-20AC-44CD-95AB-75BF1D97766C 16 21CA50B2-8862-43A0-A0EB-08C6841C1013 17 21FC8D16-2891-4B53-8B01-09C1EC9E8EF9 18 240BAB93-395F-4E30-BDA3-99074D06DE02 19 26D35BAB-0E44-458C-8EEE-3909A4F35F41 20 27221614-DAFE-48C0-82C9-2C88E951381B 21 28EBED95-5C19-482A-94C5-827A02CD61E4 22 29B21CE9-83EC-4E10-B0D1-EEBCB1606603 23 2CE67756-B705-493D-8BAF-FDE5641F4E43 24 2E080D20-68FF-470E-9B22-14C66BED0FD5 25 2E39ADFF-77B6-4FB0-89FE-EF1C7C4400CF 26 30C78201-E039-4462-8A67-20F3D07BB33F 27 31E6B196-ECE9-48A3-A5C1-62D8E04108CC 28 3240C6DD-3F14-486C-8E87-A88EDD8E0AF3 29 326D85A7-244D-4214-A928-475573885E68 30 32BF023F-3820-44FF-B8B8-35A8BE029F32 31 32FDF49A-1C7F-4325-B001-999C497CCA95 32 332B77A9-F70D-4C0E-B1E0-B794355FBC7A 33 33DA29D6-F890-47DB-B3C2-A5B524F9A07F 34 349FCC23-9305-4CF2-BF8A-92F5B8FBA7D0 35 365C922B-2741-4E90-90BB-DD0069DEBC63 36 38C382BB-09DD-449D-95C6-E15D73D0B6F4 37 3908C5C3-25B0-4262-BE89-B609B7F083A9 38 39320D8D-CE5A-46C5-91F3-9F568447A84A 39 39492C0E-B4EE-4289-901E-0104C36C9AA5 40 3BAC3002-5215-4586-A94A-75FA05D7CF28 41 3C3F0ADA-E3B7-419B-A250-AE5DCAD9F97A 42 3C754757-FA15-4EE9-B565-C64CF17652B0 43 3C7CA39A-1911-45B8-9FE6-3312E540C07E 44 3E16A65B-5F1E-461A-B38A-56FA08263790 45 3EC34ABC-0536-4AB1-9D99-CA4920D2DBFB 46 4041EE97-4BEC-4D8E-888E-954F5B9F0E0C 47 408A5D41-3103-4E07-BB55-AA039A631EF3 48 47826E39-6F37-4CD6-A176-7704AF76D2C7 49 47D8CB82-5E8B-441D-8597-FE9B9D0258F8 50 4A2C16B4-CD63-4CA0-B473-DAFD669BD2B3 51 4DC9415C-6270-4B4E-8515-8298F8711E45 52 4DC95367-DFA1-413E-A03A-11CC300DE844 53 4E3EBA31-4504-42BF-B877-662A853566AB 54 51CA735C-A076-4045-97D8-5D544249D51D 55 51F077C4-112F-41BF-AFEE-157C55E68575 56 548570D2-E62E-4900-B67F-8DEF3829A76B 57 583C2F6C-F0B0-4EA0-B662-09985370F229 58 59F3D8E0-B83B-465E-8868-5244159DC4D7 59 5BC191D0-B89E-42BC-AEC9-0E1724535323 60 5CAF98FE-996B-47C8-9135-738D6182688B 61 602BD693-5015-4AA6-8C3F-84F5E463EB6D 62 61E02FBF-3A38-4F87-981F-76CF9C782242 63 634E76F2-A3CC-474B-9916-24BBD99D2C65 64 674DE87D-3011-4DBF-9223-D71A95933BEE 65 690BA98D-3918-4CAA-90E0-9224ADF1F544 66 6942FEF5-A683-4DB1-9A91-950CAF603A27 67 69F1D40D-19CB-49DC-92E5-A9359A772A10 68 6BAA7313-1F4E-448E-B85E-AC33A6D0CC63 69 6BF45421-2E26-499C-9705-3911943AD49D 70 6E157B3A-1E59-4EA0-8FF3-7B987AF11720 71 6F8430F7-1A48-4A6F-BD9F-CCE8D4D1A0E3 72 70F3FEDB-E3CA-4FDC-B5E8-09072F5B1DC0 73 725477A3-90A4-49F3-9769-1D9373C7BFDD 74 72B0B29C-384C-4F0D-8422-73558385A870 75 730E9828-D784-4B68-9979-DC9D4DC231AB 76 74A6B05B-1A2F-4495-9951-6055979B02D8 77 755583BA-B5B4-4EEC-B620-B2847C501E75 78 769D902A-17C1-4559-9EF8-58184D67A39B 79 79B1E7A6-04F5-4FDD-9739-2FCD0147DB43 80 7A249769-840A-472B-8F76-9AB153426BFB 81 7C92FEC8-FD52-43EB-94AA-AA0C29F0C4AC 82 81195599-2A97-4213-8042-C1BB322D80CF 83 849DBF78-7368-4720-9370-474DDA1793D5 84 84D2C39E-5134-4016-84EB-C8F4EB2C9429 85 860B2EB0-2E16-41A0-9F3C-D978ED7F9DFC 86 869255E2-8CC0-4706-9A19-D52472582449 87 87697A62-B394-4935-8DC2-669120D9B6DF 88 88411BD3-3764-430F-B89A-B6C2DF3A0711 89 8917D56E-0531-4974-8CF0-8B3B45517B5B 90 8DC3A1B1-710A-4AF4-BB2A-5AF026A9DAE3 91 8EE3050A-94BC-4951-8AC1-FE264B996FD7 92 91C35B08-A9F8-4A53-9B57-CD8DA593322C 93 94AAEE81-DF0C-44E3-A796-086DAC36AF5E 94 97938F25-3E50-4D85-9936-6971EA9EE35C 95 997FEDA4-1A45-4735-9082-C9E40B5A6C25 96 99FB25CD-8428-4325-8607-23B0D54C35B9 97 9ACEB861-E407-4370-948B-DC6A05F184C7 98 9AEC50DB-819C-42E2-B9FA-B0C59348B333 99 9BD96024-FAC5-4FC6-8325-1E4E9E717202 100 9DC283DE-E1DE-45EA-890C-B1E9DF930670 101 9FD8D8A6-8E53-431C-832C-EC2180A657FC 102 A07B40BB-86A8-423E-9F25-57237A66FACD 103 A1314EE5-A3F2-41FA-9DD4-B19DACE67A4E 104 A1B03C66-B372-4422-A12C-DDDFF12C511B 105 A2F7564A-4BCF-494F-96F8-3B1F33CD2AB1 106 A3519BFD-E9EB-457F-B109-0ABAF1628F35 107 A36566C0-2DDB-44F4-B698-50597EE6734C 108 A3D9CB89-5643-4FE4-81FB-674F3CA3F0FE 109 A6841D19-9290-4082-B66C-B8B186ACF74E 110 A703403A-219D-4915-B68A-BCF464A279A3 111 AA4B06A9-4CB9-40D6-8EC7-53E5680A0525 112 AC8D2B09-1200-46B3-8018-A1C3A3AA6EB4 113 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Household ID 168 0 1 06C23F48-F8B6-414A-9DC5-96966D3A0926 2 09D8B944-CD0F-450A-BA82-A377CC93BD59 3 176666AB-7E3B-49B7-8B56-49830FD833AC 4 19E11DD7-F2C7-46EF-88ED-B77B695A9DF6 5 1A9FC351-8ADD-4B32-AD7B-5DCD46869572 6 1B6EDBB3-1698-42B4-97AA-1C620AD7850C 7 1DD1070F-06C2-47A5-B3BA-28BEC1238559 8 1FDDBEF9-7382-460E-97D1-0F8121EFE237 9 205CBA4C-E41A-41E2-A0BD-E286E8D9EEC1 10 269FEB12-5FCA-42EF-9437-FDC22C1E32C8 11 270D98EE-D571-4325-B5E6-17DB96069E52 12 27509509-BCBA-47AC-B0A2-F933A997D1A0 13 30383903-C981-4B7E-8397-9DC156F99234 14 30D8D5F7-498E-424D-83DE-102CF6623068 15 379F1A28-50DF-437F-9099-BC49BBFC891A 16 3E9FBA71-F219-4F0A-A803-D096B26FB71E 17 40A6D43D-D9CE-471F-ABFB-86819F14C17E 18 4127EC3C-939C-4513-8D6E-2CB7A171E884 19 42C50389-42E4-4655-8322-B9CB4FB6B63F 20 436A1641-F3E3-4A63-B876-91E768CB3493 21 44BE586B-8FB3-40F9-A3F5-3BE00A7FB152 22 52E42DF7-F051-4D42-9C90-0A164E44276F 23 5690BECC-045E-4AF2-8743-39E02F340486 24 5F9970A7-167F-46CE-943C-91FEACEA4F88 25 63092715-A6D5-4D4B-A7B5-0721E9C77CA9 26 64C7331B-879D-4CC4-BEAD-A820498E3706 27 681FF1B2-E687-4382-8297-9A5718037995 28 6D02D58D-22EC-4FBC-8284-BDCF98D5CCE4 29 70B3B36C-3AB2-40FD-BAF1-433C11D22DC4 30 7279172F-6B4C-4F84-9CB1-33715D58498A 31 743EA6C8-5D0B-434E-9E56-6BA9C6810A3F 32 74D02761-5B5E-4395-B7C1-2626FAC0BF71 33 77651F60-F981-464F-B50B-F55499CD5409 34 78CD11AE-702F-4C0E-83FF-18EC3DEB349B 35 7DEDAA36-A3A4-4C65-A5BC-C30A2401D207 36 7F22F8D7-4BFA-432A-866C-DFED7E9B11FD 37 813CB3CA-847D-43CA-B7AD-E4FF91EB0A4C 38 8696C131-A2E3-43F3-96B0-43AEB09AD62D 39 8713A530-6517-4F48-8D6E-5E745FC6F343 40 89F69ED1-F9F6-4E75-B048-1A5C1634F05E 41 8AE8CFDB-CFFA-4836-A6E9-A756529E4EA6 42 8BA3DD5C-E12D-4887-B376-C38A187AB006 43 8D584FB5-AC74-451A-AF09-636F88C86519 44 909314FD-8963-421D-9B53-6E8E4EB84015 45 92284E14-F51B-4CBB-AB19-81DF2010DB4E 46 9963EACF-35F6-439E-8BA9-5C62A6F0473E 47 99B7EC30-DB86-4951-AFAC-3742BF1F501D 48 9AD77252-760B-43EE-9AB2-EEA8B05307EF 49 9F2C961E-1D7E-438D-8F15-D7DFE74EBAA0 50 A18BC9EE-3865-4C1E-9D7B-A21524A293BB 51 AA2C3099-363B-4FF3-B9F2-2FB4E2FA8D19 52 AD42638A-E4C0-4135-8668-194A14F18BBB 53 AF0FC7D8-2693-490F-9F8E-6C3325A01805 54 AF47FF7B-33E4-41F7-9F78-0BDAC5D56263 55 AFE72A17-4B0F-458E-9A33-E07C2D63146A 56 B199238E-084B-4EE5-8C52-F9599749619F 57 BA5A133E-99FF-4381-B80B-635C02D0716A 58 BAE149B5-D9A3-4E6D-8AC6-1913D11B9CF4 59 BB9CB75E-608E-4CD1-B4A5-BC2224F92DDA 60 C4631FCB-4EDC-4D8E-95C3-F142E797D278 61 C4FCDDA2-A504-4EB3-BC02-A7190329E585 62 C6DD0EA9-B396-4064-95AA-2D87C48E9ABE 63 C9F0BFE6-E810-4214-910D-A2C9E6E02A08 64 D1C58516-1067-432D-BA54-4A7CD9D87153 65 D1D7EE30-D2C9-45F7-84B1-3B74AC1D9200 66 D3B5C886-A9CD-4468-B3FE-1C7D55217D33 67 D5929ABE-5030-4F80-A4C6-8E7DE5455D80 68 D62A8765-C74E-479E-9F8D-B22EB45084CE 69 D9B61B52-F652-412C-A8E0-8AFABB5205FC 70 DC349048-D948-4938-8A0A-A7DF7169A4C2 71 DD85322C-B82A-4C39-9E79-176D0B19DD86 72 DE67574C-96D2-4CDD-B77D-022A1DF21051 73 EBBD45E5-D927-4694-9A34-B251A41F18B1 74 F4CB314C-F864-45A1-9952-CD884E73F3E3 75 F93D5266-991E-4C50-AF4A-D01E2E4C56E2 76 FCBBCBE4-907D-440B-A3E1-C8714E0B7CA8 77 FD838B4A-1C0B-43FC-83D9-B30A58ED17A8 78 FF770ED9-C9BC-4DEA-B637-2243FBD38563 Site 4 0 1 4 1 Maskelynes 1 2 Moso 1 3 Paunagisu 1 4 Uri-Uripiv 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 -17.533 -16.083 -16.921 0.731 Longitude 4 0 167.45 168.4 167.979 0.431 Distance to Center of Biodiversity (km) 4 0 5170.768 5325.306 5258.117 Island area (km2) 4 0 899.5 2041.3 1470.4 Isolation index 4 0 59 62 60.5 59 2 62 2 Distance to capital (km) 4 0 23.318 205.197 98.988 Market by boat 4 0 0 1 0 No 1 1 Yes 3 Market by road 4 0 1 1 0 No 0 1 Yes 4 Market by air 4 0 0 0 0 No 4 1 Yes 0 Nearest market 4 0 1 2 1 Lakatoro 1 2 Port-Vila 3 Distance to market 4 0 5.137 143.525 Fishing ground area (km2) 4 0 4.13 20.337 9.044 Reef area (km2) 4 0 4.13 20.26 8.98 Coastal reef area (km2) 4 0 1.21 4.06 2.105 Lagoon area (km2) 4 0 0.077 18.255 6.68 Outer reef area (km2) 4 0 0.83 16.2 5.612 Total population 4 0 187.077 1015.677 Total number of households 4 0 32 182 95.5 Household surveyed 4 0 26 38 Average Household size 4 0 5.132 5.846 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 9.723 21.078 16.379 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 3.209 5.296 3.952 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 1.576 18.778 9.268 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 12.933 24.946 20.331 Recoded variable Pourcentage of Household remittance How much? (enter amount) Every time? 4 0 15.385 48.387 26.787 Recoded variable Average remittance in USD How much? (enter amount) Every time? 4 0 111.471 164.916 133.452 Recoded variable Percentage 1st income - Fishing Where does the CASH money in this household come from? 4 0 3.226 37.931 21.372 Recoded variable Percentage 1st income - Salary Where does the CASH money in this household come from? 4 0 3.226 27.586 10.942 Recoded variable Percentage 2nd income - Fishing Where does the CASH money in this household come from? 4 0 13.793 61.29 39.773 Recoded variable Percentage 2nd income - Salary Where does the CASH money in this household come from? 4 0 0 7.895 2.836 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 0 362.418 1420.338 851.412 Recoded variable Percentage education - Primary What is the educational level of your household members? 4 0 0.755 0.839 0.811 Recoded variable Percentage education - Secondary What is the educational level of your household members? 4 0 0.121 0.236 0.169 Recoded variable Percentage education - Tertiary What is the educational level of your household members? 4 0 0.00909 0.0403 0.0198 Recoded variable Extrapolated number - Fishers How many fishers live in your household? 4 0 84.923 592.968 278.024 Recoded variable Extrapolated number - Finfish fishers 4 0 67.692 493.161 225.869 Recoded variable Extrapolated number - Invertebrate fishers 4 0 61.538 546 226.902 Recoded variable Extrapolated number - Boats Does this household own a boat? 4 0 36 299.419 119.08 Recoded variable Extrapolated number - Canoes 4 0 28 275.935 107.244 Recoded variable Extrapolated number - Sailboats Does this household own a boat? 4 0 0 11.742 2.935 Recoded variable Extrapolated number - Motorboats 4 0 0 15.862 8.901 Recoded variable Extrapolated average nnumber - Boats Does this household own a boat? 4 0 0.474 1.645 1.113 Recoded variable Extrapolated annual Finfish - Catch Where do you normally get your fish and seafood from? 4 0 18.318 90.704 48.046 Recoded variable Extrapolated annual Finfish - Subsistence Where do you normally get your fish and seafood from? 4 0 3.051 21.732 9.047 Recoded variable Extrapolated annual Finfish - Export Where do you normally get your fish and seafood from? 4 0 15.266 68.972 38.999 Recoded variable Number of people per - Fishing ground area 4 0 42.134 120.598 66.58 Recoded variable Number of people per - Reef area 4 0 42.134 120.598 66.968 Recoded variable Number of household per - Fishing ground area 4 0 7.207 22.276 12.222 Recoded variable Number of household per - Reef area 4 0 7.207 22.276 12.296 Recoded variable Number of Finfish fishers per - Fishing ground area 4 0 12.655 60.683 28.208 Recoded variable Number of Finfish fishers per - Reef area 4 0 12.976 60.683 28.312 Recoded variable Number of boats per - Fishing ground area 4 0 4.952 24.58 13.281 Recoded variable Number of boats per - Reef area 4 0 5.078 24.58 13.327 Recoded variable Annual Finfish fisher - Subsistence catch per household 4 0 54.83 119.407 88.316 Recoded variable Annual Finfish fisher - Export catch per household 4 0 350.805 519.538 431.593 Recoded variable Annual Finfish fisher - Catch per FG area 4 0 4.126 9.036 5.982 Recoded variable Annual Finfish fisher - Catch per Reef area 4 0 4.126 9.036 6.026 Recoded variable Finfish fishers - Technique Handline 4 0 17.647 44.156 33.204 Recoded variable Finfish fishers - Technique Castnet 4 0 0 5.714 1.429 Recoded variable Finfish fishers - Technique Speardive 4 0 20 47.059 28.142 Recoded variable Finfish fishers - Technique Spear walk canoe 4 0 2.941 22.078 10.481 Recoded variable Finfish fishers - Technique Deep bottom line 4 0 0 0 0 0 4 Recoded variable Finfish fishers - Technique Gillnet 4 0 9.091 34.286 25.703 Recoded variable Finfish fishers - Technique Other 4 0 0 4.167 1.042 Recoded variable Finfish fishers - Catch per hour 4 0 1.092 3.226 1.817 Recoded variable Extrapolated yearly weight (kg) caught by the community - Acanthuridae 4 0 1298.8 4006.723 2660.082 Recoded variable Extrapolated yearly weight (kg) caught by the community - Albulidae 4 0 0 1686.857 421.714 Recoded variable Extrapolated yearly weight (kg) caught by the community - Balistidae 4 0 595.406 4055.91 2229.95 Recoded variable Extrapolated yearly weight (kg) caught by the community - Belonidae 4 0 0 0 0 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 1331.597 9063.067 5160.018 Recoded variable Extrapolated yearly weight (kg) caught by the community - Chanidae 4 0 0 0 0 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 0 2187.902 793.134 Recoded variable Extrapolated yearly weight (kg) caught by the community - Hemiramphidae 4 0 0 0 0 Recoded variable Extrapolated yearly weight (kg) caught by the community - Holocentridae 4 0 338.098 637.087 424.026 Recoded variable Extrapolated yearly weight (kg) caught by the community - Kyphosidae 4 0 0 5160.813 1874.917 Recoded variable Extrapolated yearly weight (kg) caught by the community - Labridae 4 0 0 45.065 11.266 Recoded variable Extrapolated yearly weight (kg) caught by the community - Lethrinidae 4 0 1328.226 26208.253 10423.857 Recoded variable Extrapolated yearly weight (kg) caught by the community - Lutjanidae 4 0 0 1947.192 597.004 Recoded variable Extrapolated yearly weight (kg) caught by the community - Mugilidae 4 0 401.162 7710.96 3536.748 Recoded variable Extrapolated yearly weight (kg) caught by the community - Mullidae 4 0 1011.007 8182.262 4017.723 Recoded variable Extrapolated yearly weight (kg) caught by the community - Other 4 0 -463.451 10829.252 3161.899 Recoded variable Extrapolated yearly weight (kg) caught by the community - Platycephalidae 4 0 0 13.073 3.268 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 2198.506 5238.31 3940.076 Recoded variable Extrapolated yearly weight (kg) caught by the community - Serranidae 4 0 179.292 2770.474 843.875 Recoded variable Extrapolated yearly weight (kg) caught by the community - Siganidae 4 0 1222.686 18334.25 7679.803 Recoded variable Extrapolated yearly weight (kg) caught by the community - Sphyraenidae 4 0 0 847.686 266.457 Recoded variable