SPC_PNG_2006_SE-PROCFISH_v01_M_v01_A_PUF DDI_PNG_2006_SES-PROCFISH_v01_EN_M_v01_A_OCS_FAO Office of Chief Statistician Statistics for Development Division Nesstar Publisher PNG_2006_SES-PROCFISH_v01_EN_M_v01_A_OCS_v01 Socio-Economic Survey-PROCFish/C 2006 SES-PROCFISH 2006 PNG_2006_SES-PROCFISH_v01_EN_M_v01_A_OCS Coastal Fisheries Programme Reef Fisheries Observatory Nesstar Publisher European Development Fund Coastal Fisheries Programme Socio-Economic/Monitoring Survey [hh/sems] In late 2003 - early 2004, SPC conducted a survey of a number of pacific regional fisheries authorities to determine their views on the information that should be collected in socioeconomic surveys to support reef fisheries management. Socio-economic data were collected from June to November 2006 in Papua New Guinea. Version 01: This is the final, clean, labelled and anonymized version of the Master file. Socio-economic Fisheries Finfish Invertebrates Consumption Subsistence Gift Sale Fishing techniques Habitat Papua New Guinea Four sites: Andra, Tsoilaunung, Sideia and Panapompom. Households The survey covered de jure household members. All household members responding 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] Coastal Fisheries Programme National Fisheries Authority Most of the households included in the survey are chosen by simple random selection, as are the finfish and invertebrate fishers associated with any of these households. In addition, important participants in one or several particular fisheries may be selected for complementary surveying. Random sampling is used to provide an average and representative picture of the fishery situation in each community, including those who do not fish, those engaged in finfish and/or invertebrate fishing for subsistence, and those engaged in fishing activities on a small-scale artisanal basis. This assumption applies provided that selected communities are mostly traditional, relatively small (~100-300 households) and (from a socioeconomic point of view) largely homogenous. Similarly, gender and participation patterns (types of fishers by gender and fishery) revealed through the surveys are assumed to be representative of the entire community. Accordingly, harvest figures reported by male and female fishers participating in a community's various fisheries may be extrapolated to assess the impacts resulting from the entire community, sample size permitting (at least 25-30% of all households). 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.]]> A software programme (SEMCoS) has been developed in tandem with the manual to assist in automatically performing all necessary analysis and producing outputs for the data collected. Coastal Fisheries Programmes "Pacific Community's Coastal Fisheries Programme, Papua New Guinea PROCFish/C - Socio-Economic survey 2006 (SE-PROCFISH 2006), Version 01 of the public-use dataset (2007), 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_PNG_2006_SEprocfish_Households_v01_PUF.NSDstat This file is the "Household" dataset of the 2006 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Papua New Guinea. It contains information collected using the "Household Census and Consumption Survey" form. 120 56 Nesstar 200801 Coastal Fisheries Programme (SPC). Version 01: This is the final, clean, labelled and anonymized version of the Master file. SPC_PNG_2006_SEprocfish_FinfishF_v01_PUF.NSDstat This file is the "Finfish Fisher" dataset of the 2006 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Papua New Guinea. It contains information collected using the "Fishing (Finfish) and Marketing Survey" form. 156 118 Nesstar 200801 Coastal Fisheries Programme (SPC). Version 01: This is the final, clean, labelled and anonymized version of the Master file. SPC_PNG_2006_SEprocfish_InvertebratesF_v01_PUF.NSDstat This file is the "Invertebrate Fisher" dataset of the 2006 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Papua New Guinea. It contains information collected using the "Invertebrate Fishing and Marketing Survey" form. 171 79 Nesstar 200801 Coastal Fisheries Programme (SPC). Version 01: This is the final, clean, labelled and anonymized version of the Master file. SPC_PNG_2006_SEprocfish_Sites_v01_PUF.NSDstat This file is the "Sites" dataset of the 2006 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Papua New Guinea. It contains information collected throughout all the questionnaire forms concerning the different sites and communities that were surveyed in Papua New Guinea (Andra, Tsoilaunung, Sideia and Panapompom). 4 93 Nesstar 200801 Coastal Fisheries Programme (SPC). Version 01: This is the final, clean, labelled and anonymized version of the Master file. Site 120 0 1 4 1 Andra 30 2 Panapompom 30 3 Sideia 30 4 Tsoilaunung 30 Household Code 120 0 Date 120 Number of people in the Household How many people ALWAYS live in your household? 120 0 1 15 5.308 1 5 2 8 3 13 4 23 5 19 6 25 7 7 8 8 9 6 10 2 11 1 12 1 15 2 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) 120 0 0 1 0 No 56 1 Yes 64 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) 120 0 0 1 0 No 109 1 Yes 11 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) 120 0 0 1 0 No 104 1 Yes 16 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) 120 0 0 1 0 No 88 1 Yes 32 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) 120 0 0 1 0 No 81 1 Yes 39 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) 120 0 0 1 0 No 98 1 Yes 22 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) 120 0 0 1 0 No 116 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) 120 0 0 1 0 No 90 1 Yes 30 Household gets remittance Do you get remittances? 120 0 0 1 0 No 52 1 Yes 68 Amount (USD) of remittance How much? (enter amount) Every time? 120 0 0 776.674 62.849 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.)? 120 0 0 4218.543 974.202 Extrapolated yearly consumption in Kg for an adult male in the HH - Fresh fish 120 0 0.402 103.37 30.543 Extrapolated yearly consumption in Kg for an adult male in the HH - Canned fish 120 0 0 48.232 5.642 Extrapolated yearly consumption in Kg for an adult male in the HH - Invertebrate 120 0 0 87.129 7.187 Frequency - Consumption of fresh fish 120 0 0.23 7 3.34 Frequency - Consumption of seafood 120 0 0 6 1.492 Frequency - Consumption of canned fish 120 0 0 7 0.927 Number of Male in the HH - Fishing finfish (exclusively) 120 0 0 3 0.242 0 96 1 21 2 1 3 2 Number of Female in the HH - Fishing finfish (exclusively) 120 0 0 1 0.05 0 114 1 6 Number of Male in the HH - Fishing invertebrate (exclusively) 120 0 0 1 0.025 0 117 1 3 Number of Female in the HH - Fishing invertebrate (exclusively) 120 0 0 1 0.0167 0 118 1 2 Number of Male in the HH - Fishing both finfish and invert. 120 0 0 5 1.075 0 31 1 62 2 18 3 6 4 2 5 1 Number of Female in the HH - Fishing both finfish and invert. 120 0 0 5 1.242 0 20 1 64 2 27 3 7 5 2 Number of Male in the HH - Fishers 120 0 0 5 1.342 0 11 1 77 2 17 3 11 4 3 5 1 Number of Female in the HH - Fishers 120 0 0 5 1.308 0 12 1 72 2 27 3 7 5 2 Number of fishers in the HH How many fishers live in your household? 120 0 1 8 2.65 1 18 2 55 3 21 4 13 5 7 6 3 7 2 8 1 Number of canoes owned by the HH 120 0 0 7 1.433 0 27 1 51 2 20 3 14 4 4 5 2 6 1 7 1 Number of sailboats owned by the HH 120 0 0 1 0.0833 0 110 1 10 Number of motorboats owned by the HH 120 0 0 1 0.0917 0 109 1 11 Number of boats owned by the HH Does this household own a boat? 120 0 0 7 1.608 0 17 1 55 2 23 3 15 4 6 5 2 6 1 7 1 Main Source of Fish - Caught 120 0 1 1 0 No 0 1 Yes 120 Main Source of Fish - Given 120 0 0 0 0 No 120 1 Yes 0 Main Source of Fish - Bought 120 0 0 0 0 No 120 1 Yes 0 2nd Source - Fish - Caught 120 0 0 0 0 No 120 1 Yes 0 2nd Source - Fish - Given 120 0 0 1 0 No 8 1 Yes 112 2nd Source - Fish - Bought 120 0 0 1 0 No 118 1 Yes 2 3rd Source - Fish - Caught 120 0 0 0 0 No 120 1 Yes 0 3rd Source - Fish - Given 120 0 0 0 0 No 120 1 Yes 0 3rd Source - Fish - Bought 120 0 0 1 0 No 100 1 Yes 20 Main Source of Invertebrate - Caught 120 0 0 1 0 No 4 1 Yes 116 Main Source of Invertebrate - Given 120 0 0 1 0 No 117 1 Yes 3 Main Source of Invertebrate - Bought 120 0 0 0 0 No 120 1 Yes 0 2nd Source - Invertebrate - Caught 120 0 0 1 0 No 119 1 Yes 1 2nd Source - Invertebrate - Given 120 0 0 1 0 No 17 1 Yes 103 2nd Source - Invertebrate - Bought 120 0 0 0 0 No 120 1 Yes 0 3rd Source - Invertebrate - Caught 120 0 0 0 0 No 120 1 Yes 0 3rd Source - Invertebrate - Given 120 0 0 0 0 No 120 1 Yes 0 3rd Source - Invertebrate - Bought 120 0 0 1 0 No 110 1 Yes 10 Nb people having achieved - Primary 120 0 0 7 1.883 0 18 1 35 2 37 3 16 4 5 5 6 6 2 7 1 Nb people having achieved - Secondary 120 0 0 7 0.858 0 60 1 35 2 15 3 7 4 1 6 1 7 1 Nb people having achieved - Tertiary 120 0 0 1 0.0833 0 110 1 10 Unique Household ID 120 0 1 01883B79-B1E9-4FBD-A96F-6AA30FF495FB 2 02B23ACF-231C-407C-BF62-6A8230325E8B 3 048F4F9F-CC13-434D-8F90-126E8712074F 4 06079A86-8138-4FD9-8A15-F91DF924497F 5 0BA82DC8-4689-4E4E-B935-9F20690C754A 6 0C5AF784-FAFD-4E2E-A0E1-7BBD2F45BE3C 7 0DF11E18-DC90-49D9-8C2D-095D00A17EC6 8 0EB042DC-2213-4025-BB9B-5611B03F9435 9 12B9FE38-63D1-4E93-B7F8-3D24A2E60264 10 12E43752-38F3-4D78-819F-E73A777700D4 11 1584D049-438D-4F7D-87A2-BBBE9C556045 12 15F5AE81-A63C-48B7-92C3-52A6736ACA83 13 1710061A-C514-435F-A323-F8A9BE4FFC06 14 17527374-4641-466E-A6BF-36D3E1839701 15 17DC6E74-E5EA-4D6A-8333-1D71799E0AA5 16 1860F86B-445F-4868-9563-3E1289B70627 17 1C809977-DFC9-41B8-8AEC-1DC47E1722FE 18 1CFF0290-0CBF-4A5B-AB40-F27FA829C5E3 19 1DE834D5-B36F-46BD-B8DB-17B3DFB46366 20 20FD59E1-DA41-40C8-B8DF-EA34A5172945 21 21E5B721-BDB3-444C-A432-B9B21AF89730 22 23090030-E1CF-476C-A6B5-E3B91655BCE9 23 24590BFF-349E-4193-9F86-C8BD7338CF5E 24 24C43471-0914-4AF8-AF5C-3E4C2C07783D 25 3225EEC4-718D-4D54-82A0-C5FB8218940E 26 34977A3D-7C4D-4273-BBE2-22F42D934C52 27 38A551E4-7BFE-40B9-B2A6-C749FF7578F4 28 3989BED5-409F-4354-A93E-817A81AEDFB1 29 39A3E49E-37B9-469E-B7E5-2925B5152803 30 3E2D9289-C2D7-4452-9AB3-39A162DA0517 31 428EC8DF-8F1B-40C5-9F09-687F12E826B2 32 434547C7-1B70-4F14-AC12-C57F9A65346E 33 45A709DF-276D-4888-8221-6D708F85E45A 34 460B0E5C-F349-449B-92C2-CCD72BC017BA 35 477AFC7B-72B4-43E1-8894-009BF762E84F 36 480D606F-76E6-48A7-821A-04BE020B6478 37 48DEEE7E-84AB-4350-A33C-747AF126C6BF 38 4B17134E-1D66-4E72-908D-338D78B16497 39 50DA7B0C-0994-445A-B096-80C76126ECDF 40 522C0604-FE5B-4C8B-B1DB-1748972007DE 41 531B90D7-4BAD-40F2-9078-CCC84CA456E2 42 543D5C91-D6C9-44A1-BFD4-B3541062C7AC 43 54DFEE20-F6B6-4D61-8D44-ED72759B075C 44 55056994-4C2B-4697-A706-A4BBF9B96CD5 45 5A36CED2-3726-421D-A5D0-BB660A02DE5A 46 5A391548-1286-4379-AA1B-EC7358A02062 47 5A9604FD-C206-4FF2-8C50-EBD1056304F5 48 5AE292F7-DFC7-47A5-8CA1-D89C6073502E 49 5F3E4BC0-DC2E-409B-8A59-75D913D06D89 50 5FAE4D21-4C4E-47A9-AB66-B0004C5862EA 51 5FC6461B-7B02-478B-BC1C-25ED8AB92A1A 52 62194088-879C-4D59-BA85-A3744F47A038 53 653AE1FB-70BC-409B-9BAA-AAA97AE6A6D5 54 6A488B9C-71FB-4718-BAE4-CE6E4FC8237C 55 6B5BADC1-4A4F-4BF3-B393-86FE5C541D56 56 6F05D7B3-D104-4D38-B3A4-E8F05C29C126 57 6FCB83C5-79DD-436C-81D9-E75C2F75FEB8 58 7010AB13-1C3C-443A-B177-9EA77C92FF74 59 7079FB56-2111-4C93-B0D4-2881D5480E34 60 729239F2-D150-40D5-9C42-1777D87F8D5B 61 73D90F28-2FB1-4BDE-887C-1FE71DD64C9A 62 76B8387F-35C9-4ABB-A23D-7DC9C64EB0F2 63 77322886-BEBC-4C80-AFCA-F0B1B86BD959 64 77474595-40D5-4A13-99B8-9B2A4002F9C1 65 782F8D1D-E497-46A7-9526-ED24D588CB2C 66 79A1FB82-4ED4-4013-A72F-95BC46FB4E71 67 7B6D6BF5-6FE0-4722-BBEA-FA7868818647 68 804E2227-19DE-434E-AD74-596B352ED8A0 69 80F121EB-ADD0-4EF4-8FD0-7410F2A91718 70 81F06066-0C98-4EFF-B4A8-8B23D3691ACF 71 890AE49B-F6D9-412C-B14B-EE155C13F182 72 89324057-A25F-4472-8F61-92AFB1D0AB79 73 896C9FA1-699F-47BF-B550-BCC23DD502BF 74 89C0DB44-1ED6-48BC-9162-704EFD0A19F4 75 93D96396-1C3E-4DA4-8086-6CDFD902BAAC 76 95744CAB-61A8-4089-A434-98B8BD0A7397 77 97034C56-01DD-4A5D-9288-2FB4F076133B 78 9908BEB8-3DB0-4A1C-AA88-214B6F9E7656 79 9AC33949-BAA5-4EBC-9833-674484DD42A7 80 9AE0F002-F182-48CA-B3CE-9D8972D2DB6F 81 9C1D0324-46EA-438F-876C-79E7E1B8F0DD 82 9DE7CF23-97A7-4A0E-B4F2-E3FD82A8859E 83 A01D6CC3-B2E0-41E3-A1AA-72A3F76BD818 84 A08E1AE1-40FF-4866-8123-0EF765D07923 85 A7E4709A-7C74-4B3F-9BE5-A73A494B828B 86 A93D9B41-B2E5-4B7D-8E08-E51F839CB1A2 87 AB32679C-1829-4B6E-A646-3ADF3CE96C66 88 AF47EE24-8914-4396-9206-72168C49333B 89 AF69C1B6-BA0A-4E27-B1D0-1E3356E82466 90 AF74AEC5-E47E-4825-A817-444346515A7B 91 B0F23787-DEDA-4BB7-A4EF-3C18CBF85022 92 B2F8BF07-787A-4218-840F-E2E381B2A052 93 B408E470-4773-4547-985D-4AB3A679BA37 94 B40BDCA8-AAAB-43EB-BEDC-E0B2BF7C059B 95 B82B981F-3ABA-4829-876A-277200F8AAB6 96 B937E700-E178-484B-8BFD-6709F292BD08 97 BC6B1F6A-3E5C-47ED-B400-0427C428213F 98 BE0EFC4C-89E1-4E3F-B053-E95E1A1878D1 99 BE1BB83F-BBFF-428B-BE2C-66BD3C6EAA46 100 BE6BB129-03B1-4EE9-93E3-AB5162269F1B 101 CF2A9194-E29A-45F0-9DF8-FE3820DD1D62 102 D0EF79DF-3BB4-4DCF-B3A6-086CDFD66EB6 103 D15F3594-B032-466D-947D-8C37BD2E8864 104 D235AF0F-4FF2-4F2A-8CE0-F2D106BB0A42 105 D30F939F-C203-48CB-8856-C1D85834487C 106 D57C5FB4-053C-44F8-8005-56F52ED48240 107 DC51E4AD-2543-4324-ADC0-B7B43331027E 108 DD564435-2768-410B-B6D1-AC970B30F749 109 E94ECA0D-F0EF-47BB-8AB0-4543D6469FB1 110 F0C69099-40F2-43EB-855E-64C11B460B68 111 F0E73387-C724-4188-AE8D-C0B73FAE577E 112 F1CDEF45-BD3D-4AA8-80FA-6001BBFE99C8 113 F1DF6121-BF33-4B9B-8182-209C22CE27B7 114 F2D9751E-3EC4-4DBA-BF49-4B7D693443F4 115 F3BF419B-3ABE-4497-B432-BA334C3B3BE8 116 F4B6651D-0C63-475D-A3AD-23AAE337DF6F 117 F6CEB3EE-B8D5-497D-A71D-B4CC13CA615C 118 F9167D58-08F9-473A-A3E3-7E0B796F98C5 119 FAE7C514-E5C5-4825-BCC0-B0AF588CEE38 120 FEDA66E0-5819-479E-9E61-1A96EBF05561 Site 156 0 1 4 1 Andra 32 2 Panapompom 51 3 Sideia 37 4 Tsoilaunung 36 Household code 156 0 Gender of fisher 156 0 1 2 1 Male 109 2 Female 47 Habitat - Coastal 156 0 0 1 0 No 116 1 Yes 40 Habitat - Lagoon 156 0 0 1 0 No 87 1 Yes 69 Habitat - Outer reef 156 0 0 1 0 No 106 1 Yes 50 Habitat - Passe 156 0 0 0 0 No 156 1 Yes 0 Habitat - Magrove 156 0 0 0 0 No 156 1 Yes 0 Habitat combination Which areas do you fish? 156 0 1 5 1 Coastal reef 38 2 Coastal reef+Outer reef 2 3 Lagoon 68 4 Lagoon+Outer reef 1 5 Outer reef 47 Average catch per trip (kg) What is your average catch (kg) per trip? 156 0 0.0172 46.545 6.374 Kept catch (kg) How much of your usual catch do you keep for family consumption? 156 0 0.0172 7.088 1.028 Given catch (kg) and the rest you gift? 156 0 0 15.99 1.077 Sold catch (kg) and/or sell? How much? 156 0 0 39.972 4.245 Fish for family consumption Do you use your catch for family consumption? 156 0 1 1 0 No 0 1 Yes 156 Give fish as a gift Do you give fish as a gift (for no money)? 156 0 0 1 0 No 16 1 Yes 140 Sell fish Do you sell fish? 156 0 0 1 0 No 35 1 Yes 121 Fishing time - Daytime 156 0 0 1 0 No 1 1 Yes 155 Fishing time - Night 156 0 0 1 0 No 66 1 Yes 90 Fishing time WHEN do you go fishing? 156 0 1 3 1 Day 66 2 Night 1 3 Day and Night 89 Yearly hours What time do you spend fishing this habitat per average trip? 156 0 0.625 1389.714 351.402 Recoded variable. Fishing months Do you go all year? 156 0 3 12 11.885 3 2 12 154 Recoded variable Trips per week How often (days/week) do you fish in each of the habitats visited? 156 0 0.0192 6 1.759 Time spent fishing (in month) How often (days/week) do you fish in each of the habitats visited? 156 0 1 10 4.651 Recoded variable Boat use - Always 156 0 0 1 0 No 5 1 Yes 151 Boat use - Sometimes 156 0 0 1 0 No 154 1 Yes 2 Boat use - Never 156 0 0 1 0 No 153 1 Yes 3 Boat use Do you use a boat for fishing? 156 0 1 3 1 Always 151 2 Sometimes 2 3 Never 3 Preservation method - Ice - Always 156 0 0 0 0 No 156 1 Yes 0 Preservation method - Ice - Sometimes 156 0 0 0 0 No 156 1 Yes 0 Preservation method - Ice - Never 156 0 1 1 0 No 0 1 Yes 156 Preservation method - Ice Do you use ice on your fishing trips? 156 0 1 1 1 Never 156 Fishing technique - Handlining 156 0 0 1 0 No 24 1 Yes 132 Fishing technique - Castnetting 156 0 0 0 0 No 156 1 Yes 0 Fishing technique - Speardiving 156 0 0 1 0 No 114 1 Yes 42 Fishing technique - Deep bottom handlining 156 0 0 1 0 No 104 1 Yes 52 Fishing technique - Gillnetting 156 0 0 1 0 No 153 1 Yes 3 Fishing technique - Spear while walking/canoeing 156 0 0 1 0 No 148 1 Yes 8 Fishing technique - Other 156 0 0 1 0 No 116 1 Yes 40 Total catch per year (kg) What is your average catch (kg) per trip? 156 0 0.746 4672.282 481.989 Recoded variable Size (cm) - Acanthuridae (write down the species in the table) 156 0 0 40 2.985 Size (cm) - Albulidae (write down the species in the table) 156 0 0 0 0 Size (cm) - Balistidae (write down the species in the table) 156 0 0 32 5.067 Size (cm) - Belonidae (write down the species in the table) 156 0 0 26.667 0.797 Size (cm) - Caesionidae (write down the species in the table) 156 0 0 0 0 Size (cm) - Carangidae (write down the species in the table) 156 0 0 46 13.736 Size (cm) - Chanidae (write down the species in the table) 156 0 0 0 0 Size (cm) - Cirrhitidae (write down the species in the table) 156 0 0 0 0 Size (cm) - Gerreidae (write down the species in the table) 156 0 0 0 0 Size (cm) - Hemiramphidae (write down the species in the table) 156 0 0 0 0 Size (cm) - Holocentridae (write down the species in the table) 156 0 0 30.857 1.611 Size (cm) - Kyphosidae (write down the species in the table) 156 0 0 36 3.317 Size (cm) - Labridae (write down the species in the table) 156 0 0 48 2.37 Size (cm) - Lethrinidae (write down the species in the table) 156 0 0 40 14.804 Size (cm) - Lutjanidae (write down the species in the table) 156 0 0 50 17.1 Size (cm) - Mugilidae (write down the species in the table) 156 0 0 40 1.574 Size (cm) - Mullidae (write down the species in the table) 156 0 0 40 3.421 Size (cm) - Other (write down the species in the table) 156 0 0 50 16.071 Size (cm) - Platycephalidae (write down the species in the table) 156 0 0 0 0 Size (cm) - Priacanthidae (write down the species in the table) 156 0 0 0 0 Size (cm) - Scaridae (write down the species in the table) 156 0 0 40 5.606 Size (cm) - Serranidae (write down the species in the table) 156 0 0 43.333 8.677 Size (cm) - Siganidae (write down the species in the table) 156 0 0 40 3.651 Size (cm) - Sphyraenidae (write down the species in the table) 156 0 0 44 2.613 Size (cm) - Average (write down the species in the table) 156 0 8 46.222 24.881 Weight percentage - Acanthuridae (write down the species in the table) 156 0 0 0.5 0.028 Weight percentage - Albulidae (write down the species in the table) 156 0 0 0 0 Weight percentage - Balistidae (write down the species in the table) 156 0 0 0.45 0.0342 Weight percentage - Belonidae (write down the species in the table) 156 0 0 0.212 0.0038 Weight percentage - Caesionidae (write down the species in the table) 156 0 0 0 0 Weight percentage - Carangidae (write down the species in the table) 156 0 0 0.54 0.0963 Weight percentage - Chanidae (write down the species in the table) 156 0 0 0 0 Weight percentage - Cirrhitidae (write down the species in the table) 156 0 0 0 0 Weight percentage - Exocoetidae (write down the species in the table) 156 0 0 0 0 Weight percentage - Gerreidae (write down the species in the table) 156 0 0 0 0 Weight percentage - Hemiramphidae (write down the species in the table) 156 0 0 0 0 Weight percentage - Holocentridae (write down the species in the table) 156 0 0 0.317 0.00986 Weight percentage - Kyphosidae (write down the species in the table) 156 0 0 0.552 0.0237 Weight percentage - Labridae (write down the species in the table) 156 0 0 0.414 0.0161 Weight percentage - Lethrinidae (write down the species in the table) 156 0 0 1 0.201 Weight percentage - Lutjanidae (write down the species in the table) 156 0 0 1 0.212 Weight percentage - Mugilidae (write down the species in the table) 156 0 0 0.25 0.0072 Weight percentage - Mullidae (write down the species in the table) 156 0 0 0.499 0.0255 Weight percentage - Other (write down the species in the table) 156 0 0 0.852 0.179 Weight percentage - Platycephalidae (write down the species in the table) 156 0 0 0 0 Weight percentage - Priacanthidae (write down the species in the table) 156 0 0 0 0 Weight percentage - Scaridae (write down the species in the table) 156 0 0 0.864 0.0453 Weight percentage - Serranidae (write down the species in the table) 156 0 0 0.657 0.0696 Weight percentage - Siganidae (write down the species in the table) 156 0 0 0.54 0.0332 Weight percentage - Sphyraenidae (write down the species in the table) 156 0 0 0.519 0.016 Extrapolated yearly weight (kg) caught by the fisher - Acanthuridae (write down the species in the table) 156 0 0 416.791 9.529 Extrapolated yearly weight (kg) caught by the fisher - Albulidae (write down the species in the table) 156 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher - Balistidae (write down the species in the table) 156 0 0 129.727 6.848 Extrapolated yearly weight (kg) caught by the fisher - Belonidae (write down the species in the table) 156 0 0 259.454 2.825 Extrapolated yearly weight (kg) caught by the fisher - Caesionidae (write down the species in the table) 156 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher - Carangidae (write down the species in the table) 156 0 0 833.371 50.384 Extrapolated yearly weight (kg) caught by the fisher - Chanidae (write down the species in the table) 156 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Cirrhitidae (write down the species in the table) 156 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Exocoetidae (write down the species in the table) 156 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Gerreidae (write down the species in the table) 156 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Hemiramphidae (write down the species in the table) 156 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Holocentridae (write down the species in the table) 156 0 0 170.304 2.424 Extrapolated yearly weight (kg) caught by the fisher Kyphosidae (write down the species in the table) 156 0 0 139.957 3.986 Extrapolated yearly weight (kg) caught by the fisher Labridae (write down the species in the table) 156 0 0 240.575 3.75 Extrapolated yearly weight (kg) caught by the fisher Lethrinidae (write down the species in the table) 156 0 0 1044.196 81.527 Extrapolated yearly weight (kg) caught by the fisher Lutjanidae (write down the species in the table) 156 0 0 1039.758 82.796 Extrapolated yearly weight (kg) caught by the fisher Mugilidae (write down the species in the table) 156 0 0 808.553 10.318 Extrapolated yearly weight (kg) caught by the fisher Mullidae (write down the species in the table) 156 0 0 421.229 12.536 Extrapolated yearly weight (kg) caught by the fisher Other (write down the species in the table) 156 0 0 1060.744 73.814 Extrapolated yearly weight (kg) caught by the fisher Platycephalidae (write down the species in the table) 156 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Priacanthidae (write down the species in the table) 156 0 0 0 0 Extrapolated yearly weight (kg) caught by the fisher Scaridae (write down the species in the table) 156 0 0 848.832 25.806 Extrapolated yearly weight (kg) caught by the fisher Serranidae (write down the species in the table) 156 0 0 622.967 19.907 Extrapolated yearly weight (kg) caught by the fisher Siganidae (write down the species in the table) 156 0 0 808.553 17.012 Extrapolated yearly weight (kg) caught by the fisher - Sphyraenidae (write down the species in the table) 156 0 0 416.791 8.313 Extrapolated yearly weight (kg) caught by the fisher - All (write down the species in the table) 156 0 0.497 3843.11 411.775 Household ID 156 0 1 01883B79-B1E9-4FBD-A96F-6AA30FF495FB 2 02B23ACF-231C-407C-BF62-6A8230325E8B 3 048F4F9F-CC13-434D-8F90-126E8712074F 4 06079A86-8138-4FD9-8A15-F91DF924497F 5 0BA82DC8-4689-4E4E-B935-9F20690C754A 6 0C5AF784-FAFD-4E2E-A0E1-7BBD2F45BE3C 7 0DF11E18-DC90-49D9-8C2D-095D00A17EC6 8 0EB042DC-2213-4025-BB9B-5611B03F9435 9 12B9FE38-63D1-4E93-B7F8-3D24A2E60264 10 12E43752-38F3-4D78-819F-E73A777700D4 11 1584D049-438D-4F7D-87A2-BBBE9C556045 12 1710061A-C514-435F-A323-F8A9BE4FFC06 13 17527374-4641-466E-A6BF-36D3E1839701 14 17DC6E74-E5EA-4D6A-8333-1D71799E0AA5 15 1860F86B-445F-4868-9563-3E1289B70627 16 1C809977-DFC9-41B8-8AEC-1DC47E1722FE 17 1CFF0290-0CBF-4A5B-AB40-F27FA829C5E3 18 1DE834D5-B36F-46BD-B8DB-17B3DFB46366 19 20FD59E1-DA41-40C8-B8DF-EA34A5172945 20 21E5B721-BDB3-444C-A432-B9B21AF89730 21 24590BFF-349E-4193-9F86-C8BD7338CF5E 22 24C43471-0914-4AF8-AF5C-3E4C2C07783D 23 3225EEC4-718D-4D54-82A0-C5FB8218940E 24 34977A3D-7C4D-4273-BBE2-22F42D934C52 25 38A551E4-7BFE-40B9-B2A6-C749FF7578F4 26 3989BED5-409F-4354-A93E-817A81AEDFB1 27 39A3E49E-37B9-469E-B7E5-2925B5152803 28 3E2D9289-C2D7-4452-9AB3-39A162DA0517 29 428EC8DF-8F1B-40C5-9F09-687F12E826B2 30 434547C7-1B70-4F14-AC12-C57F9A65346E 31 45A709DF-276D-4888-8221-6D708F85E45A 32 460B0E5C-F349-449B-92C2-CCD72BC017BA 33 477AFC7B-72B4-43E1-8894-009BF762E84F 34 480D606F-76E6-48A7-821A-04BE020B6478 35 48DEEE7E-84AB-4350-A33C-747AF126C6BF 36 4B17134E-1D66-4E72-908D-338D78B16497 37 50DA7B0C-0994-445A-B096-80C76126ECDF 38 522C0604-FE5B-4C8B-B1DB-1748972007DE 39 543D5C91-D6C9-44A1-BFD4-B3541062C7AC 40 54DFEE20-F6B6-4D61-8D44-ED72759B075C 41 55056994-4C2B-4697-A706-A4BBF9B96CD5 42 5A36CED2-3726-421D-A5D0-BB660A02DE5A 43 5A391548-1286-4379-AA1B-EC7358A02062 44 5A9604FD-C206-4FF2-8C50-EBD1056304F5 45 5AE292F7-DFC7-47A5-8CA1-D89C6073502E 46 5F3E4BC0-DC2E-409B-8A59-75D913D06D89 47 5FAE4D21-4C4E-47A9-AB66-B0004C5862EA 48 5FC6461B-7B02-478B-BC1C-25ED8AB92A1A 49 62194088-879C-4D59-BA85-A3744F47A038 50 653AE1FB-70BC-409B-9BAA-AAA97AE6A6D5 51 6A488B9C-71FB-4718-BAE4-CE6E4FC8237C 52 6B5BADC1-4A4F-4BF3-B393-86FE5C541D56 53 6F05D7B3-D104-4D38-B3A4-E8F05C29C126 54 6FCB83C5-79DD-436C-81D9-E75C2F75FEB8 55 7010AB13-1C3C-443A-B177-9EA77C92FF74 56 7079FB56-2111-4C93-B0D4-2881D5480E34 57 729239F2-D150-40D5-9C42-1777D87F8D5B 58 73D90F28-2FB1-4BDE-887C-1FE71DD64C9A 59 76B8387F-35C9-4ABB-A23D-7DC9C64EB0F2 60 77322886-BEBC-4C80-AFCA-F0B1B86BD959 61 77474595-40D5-4A13-99B8-9B2A4002F9C1 62 782F8D1D-E497-46A7-9526-ED24D588CB2C 63 79A1FB82-4ED4-4013-A72F-95BC46FB4E71 64 7B6D6BF5-6FE0-4722-BBEA-FA7868818647 65 804E2227-19DE-434E-AD74-596B352ED8A0 66 80F121EB-ADD0-4EF4-8FD0-7410F2A91718 67 81F06066-0C98-4EFF-B4A8-8B23D3691ACF 68 890AE49B-F6D9-412C-B14B-EE155C13F182 69 89324057-A25F-4472-8F61-92AFB1D0AB79 70 896C9FA1-699F-47BF-B550-BCC23DD502BF 71 89C0DB44-1ED6-48BC-9162-704EFD0A19F4 72 93D96396-1C3E-4DA4-8086-6CDFD902BAAC 73 95744CAB-61A8-4089-A434-98B8BD0A7397 74 97034C56-01DD-4A5D-9288-2FB4F076133B 75 9908BEB8-3DB0-4A1C-AA88-214B6F9E7656 76 9AC33949-BAA5-4EBC-9833-674484DD42A7 77 9AE0F002-F182-48CA-B3CE-9D8972D2DB6F 78 9C1D0324-46EA-438F-876C-79E7E1B8F0DD 79 9DE7CF23-97A7-4A0E-B4F2-E3FD82A8859E 80 A01D6CC3-B2E0-41E3-A1AA-72A3F76BD818 81 A08E1AE1-40FF-4866-8123-0EF765D07923 82 A7E4709A-7C74-4B3F-9BE5-A73A494B828B 83 A93D9B41-B2E5-4B7D-8E08-E51F839CB1A2 84 AB32679C-1829-4B6E-A646-3ADF3CE96C66 85 AF47EE24-8914-4396-9206-72168C49333B 86 AF69C1B6-BA0A-4E27-B1D0-1E3356E82466 87 AF74AEC5-E47E-4825-A817-444346515A7B 88 B0F23787-DEDA-4BB7-A4EF-3C18CBF85022 89 B2F8BF07-787A-4218-840F-E2E381B2A052 90 B408E470-4773-4547-985D-4AB3A679BA37 91 B40BDCA8-AAAB-43EB-BEDC-E0B2BF7C059B 92 B82B981F-3ABA-4829-876A-277200F8AAB6 93 B937E700-E178-484B-8BFD-6709F292BD08 94 BE0EFC4C-89E1-4E3F-B053-E95E1A1878D1 95 BE1BB83F-BBFF-428B-BE2C-66BD3C6EAA46 96 BE6BB129-03B1-4EE9-93E3-AB5162269F1B 97 CF2A9194-E29A-45F0-9DF8-FE3820DD1D62 98 D15F3594-B032-466D-947D-8C37BD2E8864 99 D235AF0F-4FF2-4F2A-8CE0-F2D106BB0A42 100 D30F939F-C203-48CB-8856-C1D85834487C 101 D57C5FB4-053C-44F8-8005-56F52ED48240 102 DC51E4AD-2543-4324-ADC0-B7B43331027E 103 DD564435-2768-410B-B6D1-AC970B30F749 104 E94ECA0D-F0EF-47BB-8AB0-4543D6469FB1 105 F0C69099-40F2-43EB-855E-64C11B460B68 106 F0E73387-C724-4188-AE8D-C0B73FAE577E 107 F1CDEF45-BD3D-4AA8-80FA-6001BBFE99C8 108 F1DF6121-BF33-4B9B-8182-209C22CE27B7 109 F3BF419B-3ABE-4497-B432-BA334C3B3BE8 110 F4B6651D-0C63-475D-A3AD-23AAE337DF6F 111 F6CEB3EE-B8D5-497D-A71D-B4CC13CA615C 112 F9167D58-08F9-473A-A3E3-7E0B796F98C5 113 FAE7C514-E5C5-4825-BCC0-B0AF588CEE38 114 FEDA66E0-5819-479E-9E61-1A96EBF05561 Fisher ID 156 0 1 00BD904C-F19A-4156-A1B9-5DB36663BEE7 2 01DB2AA0-2B21-4C38-9888-A94709F22DB4 3 0300DDC9-8628-4279-A268-7BFC0B626C02 4 031DDB7C-E018-4EB8-9782-A37ABD729E02 5 05050A26-7D5D-439F-9BB7-7031D205046D 6 06780129-57CC-426D-8075-2D1414222D8C 7 0C5D202C-EEC2-451A-96C3-62A0915FAEB7 8 0D66F3CF-52D3-4F1B-AEB4-F54B9145CBFA 9 0DE9ADC0-436A-4DE3-9F47-51C7E66D7EB0 10 0E594B76-E1AB-4506-A433-8238ADD36BBD 11 0EEBE569-A2BD-4AEF-96B7-DD0CAA9FBB6B 12 1030DDC1-E2F0-43A5-B92D-6159A9962F7C 13 136CE24A-E431-4564-BE3E-19306E406FF7 14 15743A98-379F-4DD0-8456-73EEF7064BCC 15 1647AA1A-0CF2-4DB3-B684-BFDAF487CB9C 16 1751AF6E-7517-436F-9671-59E06311E5D3 17 17A23BA1-9494-4D76-A0E0-2D9900DED13A 18 186FD743-9C63-4135-8DE5-EC455646FF12 19 1D2DB9DB-58A6-4E74-859C-190BC8FBE4A1 20 24851BCC-AE5F-4C74-92AF-67EB3310E757 21 29BEC5E7-E847-4350-862B-2732DAA576E3 22 2A41F283-9F64-4EDF-BF2E-E210D1C1814F 23 2FEE4C5D-BE75-4228-8022-A0C2DE1D2A19 24 32126E8C-E466-41EC-B954-9EA5003A80F6 25 3693B529-9121-439B-9D9B-4A2B22488E57 26 36C93DA0-CBBE-49DC-A784-E634D959C2D8 27 37DC56CD-67A3-4CAC-B836-8208C33ACF9E 28 37FEF345-CD94-4231-BB5D-2EBCCAEC4904 29 3F8FE6E6-F317-4EF4-9D30-8F972C77C6B4 30 44CFE43C-96EC-440D-A705-D497FD2629D9 31 44EF8260-A401-4F12-B968-40FEA99B53F6 32 492ECD81-37E2-49A6-9FE2-AF35A014775A 33 4B8C75C0-0450-4329-A9FB-105058B17E66 34 4BCC427D-1844-4EF0-AB60-B3A450DEDF1A 35 4C5957C1-4DC1-4819-8874-C36FCA1BA2F6 36 4F74FE2B-2325-490E-B887-E46E26D8BE1D 37 4FEAF7D6-AFD5-4E96-87BA-BAC34E6CD87E 38 5091E9E4-0DB1-4C9D-9DBE-B1BAD4C2458C 39 523D34B7-22C3-4775-952A-966A7AF4DDAA 40 53B6A97B-7B2F-4E6F-8983-B4E1EC6046DD 41 549A991C-12EC-4DB6-BCA2-E4C97827AA1F 42 59D0B262-5371-4399-B273-FC4D6339B00C 43 5A3D2A37-6D5A-4CBE-9D94-3A0659001BB5 44 5A95989D-2C8C-42CD-82BE-337F94B265F5 45 5ED97263-F9C3-41C8-966C-005D5695EF97 46 64B68918-6ED5-45BE-9AF2-29AE9C894E81 47 64F82C6E-21DD-4CCF-BDF6-E77B9281EFAB 48 6593A201-4DCA-44FA-8EFD-EFA1CE8B8769 49 65BC9B6A-4400-47B5-9CAD-797528A5AB2F 50 6BEC5B8D-98EB-4FD0-8C62-5758BF4F6B75 51 6C08FED5-E96A-45CB-A443-FE670A48C247 52 6EEE4105-94F2-4547-AAC2-9645BD3B91A8 53 70545016-A808-4C21-A6E1-019D8C8C6E02 54 71258FA4-BB2D-4E8A-9AA3-7674E386DC1B 55 7883126A-E9EC-4C44-A6BC-A9AC4CEA3E35 56 7A0597E3-13C4-43B7-BB26-AAFA7AA79AD4 57 7AF1FB34-33A0-49E4-AB1E-F7D0A30CD7F3 58 7DA1C22E-DD5B-4407-9362-E2A783BF3872 59 7F5F469F-E9C8-45B5-AE06-F140546EA370 60 815DD06F-230F-4FC1-97F2-46C81453BA83 61 8170F07D-CF2D-46F1-8E39-2D9D96DC3BE7 62 8C61598D-24F5-4DF4-A5DE-DD27988CD6DF 63 8CE51550-273F-49FA-BDA8-C0B97D012312 64 8D0734BA-194F-4F9D-A45A-15948E8F16B5 65 8E00028F-5CE3-4B60-8BB2-FE0C843AC617 66 8E914CC2-DE1F-4CF5-843B-B14F42A9709A 67 91D5C8DC-19A6-4747-89C3-EB63FC333AB8 68 938A2C3A-F740-46BF-A420-FB4363116A4B 69 944FA403-F6AA-4E92-84B5-C8758E361867 70 96764897-F0DF-468B-A856-CD7F111609AF 71 9CA8AB34-9615-4B52-BA15-650C317FC5BA 72 9EE9CB54-F675-4705-B741-770704C6AA6F 73 A136A93C-D19A-4F4B-BFE8-A59E8C3D3B74 74 A254B762-679B-4351-8C8B-6B5E73237298 75 A4AEE325-37C2-4376-92EF-A6F1952F12A4 76 A82A1E94-636C-4B26-A2CB-57113E95D72D 77 A878483D-B7FA-4B50-9ACE-4D10CC6C08A1 78 A966F10E-FDAF-436E-B299-94BF17DF6E3D 79 AB52E4DF-3D5C-4B4A-ACC0-AE49819B01F2 80 ACB1D493-AD10-48FD-9960-D52B0F36076A 81 AD0F12AE-0CA7-4C62-8A61-76512CE8DFE6 82 B4F5CB99-C354-4AE0-9638-0397E716EF36 83 B6590E04-61C2-4D1D-A46F-311033A38FCB 84 B990261F-88AF-4F0D-8E9A-2E465545B1C4 85 BB2AB1B9-E53F-473A-BA16-95D542EBA0B7 86 BCE5AE68-5E5A-4EC9-B087-B3C9EC6BB097 87 BD9545D5-267F-473E-A3BE-AF64ED4DE27B 88 BDBAA625-3AD9-457F-83AA-47D1838778F0 89 BE722EF2-B2F5-41C4-97DE-2A5D4EECB75E 90 BF785A5D-C95D-49CA-8762-F641E7443740 91 C063EF7D-4471-4FED-B80C-2867B7DDAA1A 92 C269654C-A418-4F2F-9108-AFE8B14CCF8F 93 C7062B20-7FF2-4EDE-BBDA-A570C9500BA8 94 CC2EA8D9-55BB-40B4-A73C-9EE99F1AFE65 95 CC94824C-B217-4133-AF7D-3845F1CE7131 96 CC99EE89-7D31-4AF3-9156-176C1EEEF9AD 97 D46305BB-EF75-4ABB-B750-721C9837DA78 98 D54685CE-B1FA-44BD-AAB6-7D61F85F8B36 99 D58E2E8B-2AEF-455D-B7DA-E00CFEFEAAF4 100 D8A25CB0-64E6-41EF-84A7-653880A636ED 101 DA457DBD-6648-4791-A2F3-8D9975F340A6 102 DAC20FF9-ABE6-4020-9B8B-480365A78198 103 DE9DEF0B-52EE-474D-9B58-34C324C85009 104 DF7EC6F6-8EB1-436A-A78E-59795475E8A2 105 DFA9F840-5407-4894-B8C0-CA9FF108A555 106 E08DA9D2-C774-4D00-8EDC-D6923212500D 107 E2E0A98A-F91D-44AF-BCCD-4EE2CC041E29 108 E2F66DF3-C745-4B42-BA7E-75E616CC0069 109 E3D37464-1F4D-4879-AB83-F527525692BF 110 E6727EFB-87F4-437F-8346-3710899BD6BB 111 E68CFCBD-A5B0-4292-8B6B-060C61CFCD8D 112 E84C7F59-5AA1-41E0-89BC-5817647EDA71 113 E8CBA934-B9D3-486D-9BD8-CEFD58853772 114 E925BAB2-9168-48EA-ACAB-7F68CDF7A9A0 115 EA26D131-417B-48B9-A546-108189B06CED 116 EC2E4F2D-9B9E-4FF7-A7A3-08E2A9EFF751 117 EC30378A-23A9-47EB-A604-73BEBF800A1D 118 F0D5A785-C83F-4B91-AEE3-F3A6A7BD12B7 119 F5A9BDC0-DA5C-4103-B2F3-319D9D97BD03 120 FB286E3D-3D3B-4C75-9309-80A92DBC8B3A 121 FB55AC52-8E7A-4149-B341-0988E7F59F59 122 FBCC66A6-AD22-446D-9423-169D1DF0C026 123 FC13E585-560F-4085-B635-5F8A35B2277F 124 FD07762A-CB76-4F1D-9964-DEECB894CCAD Fishery Survey ID 156 0 1 010E7E88-1872-42D7-AC3F-226675129CDF 2 01C1662E-69F3-4B9B-8EA4-C0988FD7DA7B 3 0387A067-58FC-4D89-9747-EA2FBDA69FF3 4 04FB0C87-A134-415B-A3C4-39C2501237F5 5 05319DA8-267D-4EA5-A45F-BA17519E2E5D 6 06BB0C29-6475-4D78-A722-3992C1075397 7 06CF15D3-AC5D-495A-88E3-5DB28C2E913F 8 06D2F925-11AD-4ECA-A1E9-0BB7CABD1FF2 9 08255AF5-32FB-406B-ADF1-B91EDE16395D 10 0D9B5A9D-F13D-4AAF-B766-B1E934D6CC1A 11 0E1E5810-82AC-4968-9D5D-97362C262FF5 12 0E81EF0F-7300-419C-885E-05D908F83831 13 0EA9E01F-8700-4636-AD5E-65097D866F9E 14 0EBE1D6F-324F-4293-A83E-04DE8D895053 15 107B97D5-CD7F-4DDD-AE0C-38A8A473E234 16 11730F58-F98A-4572-8554-40CE8BE7DE37 17 12289A7B-69C6-497D-83A0-72488544B569 18 142F97BF-5933-4299-9A73-D51BA44EC3E8 19 1518342E-3A97-48C7-8DF6-DF16686BFC86 20 1C3C848A-F9F6-4B76-9CBE-77CFFD2607C3 21 1E7D3FA5-044C-4E2E-AF74-129F3B829B42 22 1FBB2CD1-CD6B-42A1-89C1-F461D3633E92 23 23DB3689-4C30-4269-8BB9-6B999EA2C406 24 2441F86F-0A0C-4180-8D68-15B5937442F6 25 2775607A-15EB-4322-BC4C-F4BE263B8EE3 26 28F6F573-B4FD-47BA-8F82-D4F099FFF632 27 2AEFCC13-2AD6-41FD-9FE3-63F386CB39F7 28 2B4D21BA-48FD-4C9A-BABC-2F620F1DC188 29 2EC86B4C-95CA-489A-9E7B-46964D3629E6 30 2F163D22-B2AE-4489-91E5-05DC06B09D21 31 2FC95228-7703-44FE-BC1E-B38596D766EA 32 31A50600-0BE7-4603-AA12-5EC657F713BF 33 32E3A22B-A942-4476-BF1E-11A3B01B6EB0 34 33737675-931E-467C-813B-E2D13EAD65D8 35 362CD026-B3BF-4959-934F-C1B80BE7E616 36 37A9D55F-25D0-4EA2-9184-5832482B31CB 37 3AB60172-BB42-45C5-8012-F6D543A64F92 38 3B9C0653-0DF6-4198-9D57-5AB7CCA82E4D 39 3CAB05FE-C577-4BE8-B0D5-EF1A6AEDFA80 40 3EA43370-6CF5-406E-B8F2-455819387741 41 3FEEAE6B-ECFD-46F2-BDB5-EA62E4BAD819 42 40FAA4FA-74EB-46D9-880E-D4BBC6275C1E 43 422DC79A-F93F-4ADC-AD8D-CD4A0CB5FC82 44 43F59860-FDAF-4539-AE93-57CDB4B74C26 45 440E9297-08F1-4D1B-808B-F72FBB917CB5 46 44ABB9EA-E8B7-4DDE-8A1A-F1606C5B5051 47 458EB1BD-0578-4388-A211-F324B8E3CD4E 48 47AEFEC4-4AA4-4D09-9425-21FF864CE311 49 48D6ACF0-E663-403C-8C11-422CF4CFC03D 50 493076C1-2815-4CEE-88BE-1CD7D0F25A35 51 4A35D0FF-DFD8-4A80-85DE-70D58B741FC6 52 4C4B4506-91A1-4163-A0C7-71E67DB4C674 53 4D6EA66A-040D-43DD-8451-1822F60FD556 54 4DCC1A36-5E56-4218-9170-55DFDBED5383 55 519A235C-9B2C-4028-A294-B633CB29016E 56 5298A7A8-ECEB-482F-A54B-D1A567FC5B5A 57 54240C64-12E2-4DA6-8590-755A2E94D5E0 58 55F34DCE-77B9-40DC-AA00-3EB32E807938 59 56F1872C-BE5B-4370-B987-7706B71C92AF 60 570D7650-0E9A-4EAA-8DD8-4F32EEF93BDE 61 580EB9FE-FC7D-4153-8D81-DA25828DCC71 62 589A39B2-9390-4315-89FE-BE32DEED74A1 63 5904039E-CC33-4369-A405-8A7D908AAEAA 64 5DA57698-AE50-4C40-B796-F2D1320A9CD7 65 6214E97A-E7D9-4C92-9549-7D958A10D6FA 66 624FEC8B-775E-4A68-9465-412E3F2D28F3 67 646ACAD5-C8FA-4E26-8496-A9521E635F95 68 67569A23-A1ED-4902-9FE8-745AF68018D0 69 6CC9E5A1-613B-4659-B34B-7EF408B78876 70 6EAF2EAC-F84D-457C-AA5B-39A7093B6668 71 6F7D214B-3ABF-4FB8-80FC-FB1CE7FB6247 72 6FE20319-60FE-4A68-B808-9B14A2A11CB9 73 704AAFF9-93E7-41A7-AEDC-C552AED684E1 74 74E46970-19CF-4311-80C8-1DDB80E4F0F4 75 7533E81C-0102-468B-BEAD-D9FBB4425E27 76 75AA1756-652B-4D32-A421-45D9CC0A9744 77 7601AAF2-9995-4840-9035-62AE4550AF72 78 76CCEC26-191C-47DD-866F-80A475AD0918 79 79ECA557-7C67-4027-815A-3752780FB283 80 7B89338E-8297-445B-B224-E359195C956D 81 7B8C9DA9-57F8-43FF-9003-16F91CB233A0 82 7E1B5051-E90B-46A5-883C-4F2ACB3E51B7 83 81407635-546A-48D9-A241-E258C53E08F3 84 87A1BAC0-9F4A-40C3-90C1-0058A2E7DCBC 85 87D80D74-3F5A-475C-A8A2-CB2B1E2A2A7F 86 88EDBA99-59AB-4ADE-80DA-960C2F76D9C9 87 893B1BC5-E875-46AC-A2BE-AEC35A7F30DD 88 8A71CEEB-F274-4000-8A3B-30C59F583E40 89 8D0CF29F-9043-44B0-A996-F49BFE9FE700 90 90284F14-1C0D-4B92-8EF9-4441EBA5029B 91 92B44047-DCF7-4C62-BA3B-8C94E723AE2A 92 935CF46E-18D9-405C-848D-D866AD1B05FE 93 93EBE695-C257-41E5-868F-ECA99E86E677 94 9613A272-39F1-4AF8-8FCF-439E72E42C34 95 9A4A792D-F12E-4363-B3DD-5A62E014AC95 96 9B923E94-A8F7-43C1-A4B6-5C1615530BCA 97 9BE9AF35-5769-4682-9AA7-1B54EA1754C5 98 9FE86063-5696-4A3A-A86C-6B50EE47C33A 99 A1E889B0-076B-4CC7-AB88-A4828D67C9DA 100 A2E3670A-F937-4E01-9D84-3AD27EF6C5A6 101 A51DC94F-973A-4CE0-9CB1-C27A082340CF 102 ABFC1AE8-ED61-47CC-A15A-3F7DA178DC69 103 ACBE3316-02F6-4C93-AEAF-B7CC5190D191 104 AE3FA6E4-4990-4E47-82AB-72044812DD1F 105 AE755A06-1427-4B52-803E-8BD6281F81C0 106 B136979B-6D6E-478D-B2BF-3A1C43797440 107 B1A19BAF-2624-408F-9413-056B5F630CD5 108 B2D97DB8-8CCF-4308-9495-7069632C44AE 109 B467A0BD-A597-41AB-8A81-07321267747E 110 B471FA6E-B655-48B4-92E8-049F22B4CA08 111 B5A631CD-EE33-4DD6-A34C-B765A28B0A02 112 BBBDB26C-9E36-4551-820C-FBE51FD887E2 113 BC1ADC1A-1BA5-4281-AC13-3DC11B1A283B 114 BC9A2396-9E0D-4324-9BF8-8785F2636ED2 115 BCA468F4-2F1E-4D4F-A219-C46BF0D9DA57 116 BCD01432-330D-4BD1-B18C-F16A49573880 117 BEE3B0DB-E039-4545-ABFA-6D3FA6386229 118 BF9F658C-00B4-4145-B05A-247D3BE6E11F 119 C166878F-03D6-4029-85DA-F682B7B78145 120 C2CF5707-0619-4A9B-92D5-223A0F167717 121 C5015306-7715-4068-9B0C-5A0FD0179789 122 C75A1C04-1CC2-43DC-995E-0125DF8BB955 123 C9864544-5080-4E01-9CBC-365C3E89A814 124 D01BF1AF-5B82-435B-AF49-1E07B4E14A1E 125 D13F6E41-2CA8-4387-8171-5790D1D07239 126 D437EEAE-4BEA-4417-BE5C-5FFB73DC463E 127 D48A477E-76E0-4FB1-84DF-C4FDF0E54317 128 D4C3326A-DB12-4DC3-A66D-8036D5AFD45B 129 D64C7359-EE74-4398-AD5D-F87B1ED388BF 130 D85EB543-A7C3-429E-A8CE-7DB42A1EB946 131 DC1A33C8-EDDC-42B6-97DB-F1221E1F79B1 132 DD03236D-901E-4570-BED0-70CE8EA0A227 133 DE4B59DB-7BE5-472B-AE58-94065F084F7D 134 DF1AB1F8-30E4-40C4-A46F-657902C0DF06 135 E1326F89-2C49-4A69-8572-3481426AF666 136 E173B0D3-8495-44A3-B482-2DC67BC922A4 137 E50DB383-8AC5-45F8-A34F-716866BCBF7F 138 E5570996-F4AA-4578-A92C-F1DE809117F9 139 E627A86F-D1A0-4C96-A9C7-4C4A1678994E 140 E6A3C6DB-8643-4DFD-A752-6294640B2A51 141 E7138ECB-B97D-45F6-9637-856637A5DD24 142 E72EA076-BADB-40B2-BC69-AFD172EBAA34 143 E757312B-AA1D-4EB2-A43F-A3B3A7A2333D 144 EA0B36A9-5DE3-434A-BB63-F97D55FAE031 145 EA670EFD-8472-489C-8E93-CE8451C598D1 146 EE7CFDB6-308A-4A89-8697-621C73CC41A1 147 EF3049A5-2577-44D4-9DFE-11789A08023C 148 F6013FCC-161D-4F79-97B7-FA3CADD6270C 149 F73C29C1-9C0C-4B38-99D7-9BE915EA08C8 150 F73E98F9-3920-43C8-A533-185E0AD904CA 151 F7C22678-7051-4064-B6E1-5987AAC8019C 152 F7E8A62F-BC8C-467D-8390-EE8841A34916 153 FADD1BCE-72E7-4F7D-98DB-9C9861BCB3D1 154 FB4CB622-9D47-47D2-8F49-F483FDCEFBD4 155 FCB19484-F1A6-409A-B147-0221920D77CD 156 FF31CBC8-D0FB-4797-B809-8AE52C59F548 Site 171 0 1 4 1 Andra 12 2 Panapompom 61 3 Sideia 41 4 Tsoilaunung 57 Household Code 171 0 Gender of fisher Gender 171 0 1 2 1 Male 109 2 Female 62 Habitat Gleaning - Seagrass 171 0 0 1 0 No 148 1 Yes 23 Habitat Gleaning - Mangrove 171 0 0 1 0 No 145 1 Yes 26 Habitat Gleaning - Sand 171 0 0 1 0 No 167 1 Yes 4 Habitat Gleaning - ReefTop 171 0 0 1 0 No 133 1 Yes 38 Habitat Diving - Beche de mer 171 0 0 1 0 No 114 1 Yes 57 Habitat Diving - Trochus 171 0 0 1 0 No 144 1 Yes 27 Habitat Diving - Lobster 171 0 0 1 0 No 151 1 Yes 20 Habitat Diving - Other 171 0 0 1 0 No 170 1 Yes 1 Habitat combination Which type of fisheries do you do? 171 0 1 13 1 Beche de mer 57 2 Seagrass 9 3 Seagrass+Mangrove 5 4 Seagrass+Mangrove+Reef Top 2 5 Seagrass+Reef Top 5 6 Seagrass+Sand 2 7 Lobster 20 8 Mangrove 10 9 Mangrove+Reef Top 7 10 Mangrove+Sand 2 11 Other 1 12 Reef Top 24 13 Trochus 27 Fishing time - Daytime 171 0 0 1 0 No 18 1 Yes 153 Fishing time - Night 171 0 0 1 0 No 127 1 Yes 44 Yearly hours 171 0 9.995 1737.143 294.427 Fishing time Glean/dive at 171 0 1 3 1.409 1 Day 127 2 Night 18 3 Day and Night 26 Fishing months 171 0 0.25 12 9.194 0.25 1 1 8 6 61 8 1 10 5 12 95 Trips per week 171 0 0.115 6 2.024 Time spent fishing 171 0 1 11 4.675 1 6 1.5 6 2 15 2.5 11 3 23 3.5 11 4 14 4.5 9 5 14 5.5 2 6 16 6.5 1 7 20 7.5 1 8 15 9 1 10 3 11 3 Going fishing by foot 171 0 0 1 0 No 153 1 Yes 18 Going fishing by boat 171 0 0 1 0 No 18 1 Yes 153 Targeting Beche de mer - High value - Gift 171 0 0 0 0 No 171 1 Yes 0 Targeting Beche de mer - High value - Sale 171 0 0 1 0 No 114 1 Yes 57 Targeting Beche de mer - High value - Subsistence 171 0 0 0 0 No 171 1 Yes 0 Targeting Beche de mer - Low value - Gift 171 0 0 0 0 No 171 1 Yes 0 Targeting Beche de mer - Low value - Sale 171 0 0 1 0 No 115 1 Yes 56 Targeting Beche de mer - Low value - Subsistence 171 0 0 0 0 No 171 1 Yes 0 Targeting Bivalves - Gift 171 0 0 1 0 No 151 1 Yes 20 Targeting Bivalves - Sale 171 0 0 1 0 No 156 1 Yes 15 Targeting Bivalves - Subsistence 171 0 0 1 0 No 139 1 Yes 32 Targeting Crustaceans - Gift 171 0 0 1 0 No 164 1 Yes 7 Targeting Crustaceans - Sale 171 0 0 1 0 No 164 1 Yes 7 Targeting Crustaceans - Subsistence 171 0 0 1 0 No 140 1 Yes 31 Targeting Gastropods - Gift 171 0 0 1 0 No 142 1 Yes 29 Targeting Gastropods - Sale 171 0 0 1 0 No 145 1 Yes 26 Targeting Gastropods - Subsistence 171 0 0 1 0 No 105 1 Yes 66 Targeting Giant Clams - Gift 171 0 0 1 0 No 162 1 Yes 9 Targeting Giant Clams - Sale 171 0 0 1 0 No 164 1 Yes 7 Targeting Giant Clams - Subsistence 171 0 0 1 0 No 135 1 Yes 36 Targeting Lobster - Gift 171 0 0 1 0 No 169 1 Yes 2 Targeting Lobster - Sale 171 0 0 1 0 No 154 1 Yes 17 Targeting Lobster - Subsistence 171 0 0 1 0 No 157 1 Yes 14 Targeting Octopus - Gift 171 0 0 1 0 No 170 1 Yes 1 Targeting Octopus - Sale 171 0 0 1 0 No 163 1 Yes 8 Targeting Octopus - Subsistence 171 0 0 1 0 No 163 1 Yes 8 Targeting Others - Gift 171 0 0 0 0 No 171 1 Yes 0 Targeting Others - Sale 171 0 0 0 0 No 171 1 Yes 0 Targeting Others - Subsistence 171 0 0 0 0 No 171 1 Yes 0 Targeting Sea urchins - Gift 171 0 0 0 0 No 171 1 Yes 0 Targeting Sea urchins - Sale 171 0 0 0 0 No 171 1 Yes 0 Targeting Sea urchins - Subsistence 171 0 0 0 0 No 171 1 Yes 0 Targeting Trochus - Gift 171 0 0 0 0 No 171 1 Yes 0 Targeting Trochus - Sale 171 0 0 1 0 No 160 1 Yes 11 Targeting Trochus - Subsistence 171 0 0 1 0 No 160 1 Yes 11 Average quantity per trip in Kg Beche de mer - High value 171 0 0 141.753 9.182 Average quantity per trip in Kg Beche de mer - Low value 171 0 0 66.568 5.743 Average quantity per trip in Kg Bivalves 171 0 0 20 0.371 Average quantity per trip in Kg Crustaceans 171 0 0 16.992 0.706 Average quantity per trip in Kg Gastropods 171 0 0 30.5 2.993 Average quantity per trip in Kg Giant clams 171 0 0 23.5 0.879 Average quantity per trip in Kg Lobster 171 0 0 22 0.981 Average quantity per trip in Kg Octopus 171 0 0 5.5 0.148 Average quantity per trip in Kg Others 171 0 0 0 0 Average quantity per trip in Kg Sea urchins 171 0 0 0 0 Average quantity per trip in Kg Trochus 171 0 0 8 0.177 Extrapolated quantity per year in Kg Beche de mer - High value 171 0 0 6424.461 568.881 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 171 0 0 4610.548 385.026 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Bivalves 171 0 0 1737.143 25.417 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Crustaceans 171 0 0 2213.75 52.332 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Gastropods 171 0 0 2627.428 174.31 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Giant clams 171 0 0 1020.571 53.537 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Lobster 171 0 0 2019.429 50.641 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Octopus 171 0 0 358.286 9.068 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Others 171 0 0 0 0 Variable obtained by calculating the number of species caught per trip in a year Extrapolated quantity per year in Kg Sea urchins 171 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 171 0 0 1042.286 12.395 Variable obtained by calculating the number of species caught per trip in a year Invertebrate Fishery - Survey ID 171 0 1 03C13F5B-8582-4DF8-8853-9720FC1B85CC 2 07F1B0ED-3B80-4886-AA20-ECBB155EF436 3 0A5D25FB-6EEE-41F9-B398-A598E9EF8F1B 4 0C56AD6F-6AB8-417C-8D6A-6545C1EC0DBA 5 0CD0B2FC-2EDA-41F4-8055-108C94DA4572 6 0E1FC316-0336-41DA-A5D0-4EEEFE785691 7 0E84918E-EAEB-498F-ADFC-E38FC8FA682A 8 0F8AAB4A-9614-41A2-A595-0F052593402A 9 0FA40124-D605-410B-87C4-88EFEF79A7F8 10 1003ADD8-8E13-421E-9BC6-C96AF71E7B5A 11 110C0B56-42D6-4879-8B75-5285039A3876 12 14176BDB-0383-49BA-8520-84A491536418 13 16064A15-BC38-4EB9-8BDE-BE6D3597121D 14 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5A391548-1286-4379-AA1B-EC7358A02062 38 5F3E4BC0-DC2E-409B-8A59-75D913D06D89 39 5FAE4D21-4C4E-47A9-AB66-B0004C5862EA 40 62194088-879C-4D59-BA85-A3744F47A038 41 653AE1FB-70BC-409B-9BAA-AAA97AE6A6D5 42 6A488B9C-71FB-4718-BAE4-CE6E4FC8237C 43 6B5BADC1-4A4F-4BF3-B393-86FE5C541D56 44 6F05D7B3-D104-4D38-B3A4-E8F05C29C126 45 7010AB13-1C3C-443A-B177-9EA77C92FF74 46 7079FB56-2111-4C93-B0D4-2881D5480E34 47 729239F2-D150-40D5-9C42-1777D87F8D5B 48 73D90F28-2FB1-4BDE-887C-1FE71DD64C9A 49 76B8387F-35C9-4ABB-A23D-7DC9C64EB0F2 50 77322886-BEBC-4C80-AFCA-F0B1B86BD959 51 782F8D1D-E497-46A7-9526-ED24D588CB2C 52 79A1FB82-4ED4-4013-A72F-95BC46FB4E71 53 804E2227-19DE-434E-AD74-596B352ED8A0 54 80F121EB-ADD0-4EF4-8FD0-7410F2A91718 55 81F06066-0C98-4EFF-B4A8-8B23D3691ACF 56 890AE49B-F6D9-412C-B14B-EE155C13F182 57 89324057-A25F-4472-8F61-92AFB1D0AB79 58 896C9FA1-699F-47BF-B550-BCC23DD502BF 59 93D96396-1C3E-4DA4-8086-6CDFD902BAAC 60 95744CAB-61A8-4089-A434-98B8BD0A7397 61 97034C56-01DD-4A5D-9288-2FB4F076133B 62 9908BEB8-3DB0-4A1C-AA88-214B6F9E7656 63 9AC33949-BAA5-4EBC-9833-674484DD42A7 64 9AE0F002-F182-48CA-B3CE-9D8972D2DB6F 65 9C1D0324-46EA-438F-876C-79E7E1B8F0DD 66 9DE7CF23-97A7-4A0E-B4F2-E3FD82A8859E 67 A08E1AE1-40FF-4866-8123-0EF765D07923 68 A93D9B41-B2E5-4B7D-8E08-E51F839CB1A2 69 AB32679C-1829-4B6E-A646-3ADF3CE96C66 70 AF47EE24-8914-4396-9206-72168C49333B 71 AF69C1B6-BA0A-4E27-B1D0-1E3356E82466 72 B0F23787-DEDA-4BB7-A4EF-3C18CBF85022 73 B2F8BF07-787A-4218-840F-E2E381B2A052 74 B40BDCA8-AAAB-43EB-BEDC-E0B2BF7C059B 75 B82B981F-3ABA-4829-876A-277200F8AAB6 76 B937E700-E178-484B-8BFD-6709F292BD08 77 BE0EFC4C-89E1-4E3F-B053-E95E1A1878D1 78 BE1BB83F-BBFF-428B-BE2C-66BD3C6EAA46 79 BE6BB129-03B1-4EE9-93E3-AB5162269F1B 80 D15F3594-B032-466D-947D-8C37BD2E8864 81 D235AF0F-4FF2-4F2A-8CE0-F2D106BB0A42 82 D30F939F-C203-48CB-8856-C1D85834487C 83 D57C5FB4-053C-44F8-8005-56F52ED48240 84 DC51E4AD-2543-4324-ADC0-B7B43331027E 85 E94ECA0D-F0EF-47BB-8AB0-4543D6469FB1 86 F0C69099-40F2-43EB-855E-64C11B460B68 87 F0E73387-C724-4188-AE8D-C0B73FAE577E 88 F1CDEF45-BD3D-4AA8-80FA-6001BBFE99C8 89 F1DF6121-BF33-4B9B-8182-209C22CE27B7 90 F2D9751E-3EC4-4DBA-BF49-4B7D693443F4 91 F3BF419B-3ABE-4497-B432-BA334C3B3BE8 92 F4B6651D-0C63-475D-A3AD-23AAE337DF6F 93 F6CEB3EE-B8D5-497D-A71D-B4CC13CA615C 94 F9167D58-08F9-473A-A3E3-7E0B796F98C5 95 FAE7C514-E5C5-4825-BCC0-B0AF588CEE38 96 FEDA66E0-5819-479E-9E61-1A96EBF05561 Site 4 0 1 4 1 Andra 1 2 Panapompom 1 3 Sideia 1 4 Tsoilaunung 1 Low island 4 0 0 1 0 No 3 1 Yes 1 High island 4 0 0 1 0 No 1 1 Yes 3 Latitude 4 0 -10.767 -1.917 -6.446 4.872 Longitude 4 0 147.017 152.4 150.188 2.269 Distance to Center of Biodiversity (km) 4 0 2531.845 3446.41 3046.521 Island area (km2) 4 0 40.046 7404.5 2370.689 Isolation index 4 0 35 66 51 35 1 49 1 54 1 66 1 Distance to capital (km) 4 0 412.768 852.359 672.955 Market by boat 4 0 1 1 0 No 0 1 Yes 4 Market by road 4 0 0 0 0 No 4 1 Yes 0 Market by air 4 0 0 0 0 No 4 1 Yes 0 Nearest market 4 0 1 4 1 Kavieng 1 2 Lorengau 1 3 Misima 1 4 Sideia 1 Distance to market 4 0 0 39.796 24.84 Fishing ground area (km2) 4 0 14.906 244.481 97.11 Reef area (km2) 4 0 14.601 82.573 41.523 Coastal reef area (km2) 4 0 3.003 24.418 13.14 Lagoon area (km2) 4 0 0.571 192.602 65.726 Outer reef area (km2) 4 0 4.359 36.714 18.244 Total population 4 0 336 1669.8 336 1 419.333305 1 531.3 1 1669.8 1 Total number of households 4 0 70 363 148.75 Household surveyed 4 0 30 30 Average Household size 4 0 4.6 6.9 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 20.631 35.552 30.543 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 2.236 11.28 7.187 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 1.195 11.795 5.642 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 30.104 46.832 37.73 Recoded variable Pourcentage of Household remittance How much? (enter amount) Every time? 4 0 40 66.667 56.667 Recoded variable Average remittance in USD How much? (enter amount) Every time? 4 0 87.78 151.02 112.085 Recoded variable Percentage 1st income - Fishing Where does the CASH money in this household come from? 4 0 43.333 70 53.333 Recoded variable Percentage 1st income - Salary Where does the CASH money in this household come from? 4 0 3.333 20 13.333 Recoded variable Percentage 2nd income - Fishing Where does the CASH money in this household come from? 4 0 20 50 32.5 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 0 467.946 2071.94 974.202 Recoded variable Percentage education - Primary What is the educational level of your household members? 4 0 0.442 0.87 0.664 0.441860465116279 1 0.66304347826087 1 0.681159420289855 1 0.869565217391304 1 Recoded variable Percentage education - Secondary What is the educational level of your household members? 4 0 0.12 0.523 0.307 0.119565217391304 1 0.282608695652174 1 0.304347826086957 1 0.523255813953488 1 Recoded variable Percentage education - Tertiary What is the educational level of your household members? 4 0 0.0109 0.0543 0.0286 0.0108695652173913 1 0.0144927536231884 1 0.0348837209302326 1 0.0543478260869565 1 Recoded variable Extrapolated number - Fishers How many fishers live in your household? 4 0 193.667 871.2 375.608 Recoded variable Extrapolated number - Finfish fishers 4 0 189 859.1 370.133 Recoded variable Extrapolated number - Invertebrate fishers 4 0 172.667 605 301.242 Recoded variable Extrapolated number - Boats Does this household own a boat? 4 0 65.333 411.4 207.308 Recoded variable Extrapolated number - Canoes 4 0 39.667 350.9 182.225 Recoded variable Extrapolated number - Sailboats Does this household own a boat? 4 0 0 23.333 5.833 Recoded variable Extrapolated number - Motorboats 4 0 0 60.5 19.25 Recoded variable Extrapolated average nnumber - Boats Does this household own a boat? 4 0 0.933 2.333 1.608 Recoded variable Extrapolated annual Finfish - Catch Where do you normally get your fish and seafood from? 4 0 51.107 409.428 165.79 Recoded variable Extrapolated annual Finfish - Subsistence Where do you normally get your fish and seafood from? 4 0 10.159 47.659 20.33 Recoded variable Extrapolated annual Finfish - Export Where do you normally get your fish and seafood from? 4 0 40.948 361.769 145.46 Recoded variable Number of people per - Fishing ground area 4 0 1.374 35.642 16.563 1.37434223305826 1 10.4980640333548 1 18.7388746348526 1 35.6422077801848 1 Recoded variable Number of people per - Reef area 4 0 4.069 36.388 23.767 4.06911242121999 1 18.6024847627451 1 36.006948060096 1 36.3879236200156 1 Recoded variable Number of household per - Fishing ground area 4 0 0.286 5.166 2.913 0.286321298553803 1 2.1279860964899 1 4.073668398881 1 5.16553735944707 1 Recoded variable Number of household per - Reef area 4 0 0.848 7.828 4.43 0.84773175442083 1 3.77077419317632 1 5.27361211884284 1 7.8275974043687 1 Recoded variable Number of Finfish fishers per - Fishing ground area 4 0 0.773 15.324 7.711 0.773067506095269 1 5.10716663157576 1 9.64101249490609 1 15.3244240560014 1 Recoded variable Number of Finfish fishers per - Reef area 4 0 2.289 18.525 11.377 2.28887573693624 1 9.04985806362316 1 15.645045770159 1 18.5253086386077 1 Recoded variable Number of boats per - Fishing ground area 4 0 0.267 12.053 5.316 0.267233116543117 1 4.3269043535341 1 4.616822827509 1 12.0529187835307 1 Recoded variable Number of boats per - Reef area 4 0 0.791 12.305 7.409 0.791216021548857 1 7.66723960253378 1 8.87127444908539 1 12.3050931860959 1 Recoded variable Annual Finfish fisher - Subsistence catch per household 4 0 131.293 154.641 141.46 Recoded variable Annual Finfish fisher - Export catch per household 4 0 531.795 1512.834 940.776 Recoded variable Annual Finfish fisher - Catch per FG area 4 0 0.249 4.595 2.955 Recoded variable Annual Finfish fisher - Catch per Reef area 4 0 0.737 8.829 4.839 Recoded variable Finfish fishers - Technique Handline 4 0 25 69.811 49.608 25 1 43.2432432432432 1 60.377358490566 1 69.811320754717 1 Recoded variable Finfish fishers - Technique Castnet 4 0 0 0 0 0 4 Recoded variable Finfish fishers - Technique Speardive 4 0 2.703 30.189 18.136 2.7027027027027 1 11.3207547169811 1 28.3333333333333 1 30.188679245283 1 Recoded variable Finfish fishers - Technique Spear walk canoe 4 0 0 9.434 3.226 0 1 1.66666666666667 1 1.8018018018018 1 9.43396226415094 1 Recoded variable Finfish fishers - Technique Deep bottom line 4 0 1.887 28.829 15.706 1.88679245283019 1 3.77358490566038 1 28.3333333333333 1 28.8288288288288 1 Recoded variable Finfish fishers - Technique Gillnet 4 0 0 5.66 1.415 0 3 5.66037735849057 1 Recoded variable Finfish fishers - Technique Other 4 0 0 23.423 11.909 0 1 7.54716981132075 1 16.6666666666667 1 23.4234234234234 1 Recoded variable Finfish fishers - Catch per hour 4 0 0.757 1.683 1.397 0.757018999839935 1 1.48272391613143 1 1.66335295709173 1 1.68309432792872 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Acanthuridae 4 0 0 13617.305 4673.34 0 1 703.427718414668 1 4372.62571682231 1 13617.3047217712 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Albulidae 4 0 0 0 0 0 4 Recoded variable Extrapolated yearly weight (kg) caught by the community - Balistidae 4 0 1038.143 8741.723 3284.019 1038.14266014195 1 1642.71669926422 1 1713.49320905403 1 8741.72274469487 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Belonidae 4 0 0 8244.124 2242.691 0 2 726.641477449485 1 8244.12433896894 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Caesionidae 4 0 0 0 0 0 4 Recoded variable Extrapolated yearly weight (kg) caught by the community - Carangidae 4 0 6393.616 52865.781 19470.322 6393.61563374608 1 7867.7436805961 1 10754.1498982354 1 52865.7805408454 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Chanidae 4 0 0 0 0 0 4 Recoded variable Extrapolated yearly weight (kg) caught by the community - Cirrhitidae 4 0 0 0 0 0 4 Recoded variable Extrapolated yearly weight (kg) caught by the community - Exocoetidae 4 0 0 0 0 0 4 Recoded variable Extrapolated yearly weight (kg) caught by the community - Gerreidae 4 0 0 0 0 0 4 Recoded variable Extrapolated yearly weight (kg) caught by the community - Hemiramphidae 4 0 0 0 0 0 4 Recoded variable Extrapolated yearly weight (kg) caught by the community - Holocentridae 4 0 49.397 1152.981 453.573 49.3971368998322 1 212.045934231276 1 399.869374341816 1 1152.98145402357 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Kyphosidae 4 0 0 3700.305 925.076 0 3 3700.30529095812 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Labridae 4 0 0 3032.564 1135.931 0 1 607.813238879443 1 903.346156793214 1 3032.56423591978 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Lethrinidae 4 0 2153.16 93562.61 32858.178 2153.15958008266 1 6317.25260284394 1 29399.6915846714 1 93562.6097408604 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Lutjanidae 4 0 4130.302 35746.321 19583.219 4130.30161097214 1 17036.5359927321 1 21419.7193591381 1 35746.3206891283 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Mugilidae 4 0 0 17734.003 5139.939 0 1 161.888947175814 1 2663.8637205967 1 17734.0030332766 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Mullidae 4 0 0 7656.306 2303.834 0 1 331.775790371629 1 1227.25234651876 1 7656.30596585697 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Other 4 0 14160.7 65172.659 38192.232 14160.7000956491 1 18137.4101857766 1 55298.1580810429 1 65172.6592576289 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Platycephalidae 4 0 0 0 0 0 4 Recoded variable Extrapolated yearly weight (kg) caught by the community - Priacanthidae 4 0 0 0 0 0 4 Recoded variable Extrapolated yearly weight (kg) caught by the community - Scaridae 4 0 434.01 45279.456 13949.578 434.009780331004 1 3560.59304089132 1 6524.25151302594 1 45279.4562704947 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Serranidae 4 0 3680.16 14880.574 6692.484 3680.16027554832 1 3847.18878213887 1 4362.01361712625 1 14880.5738241464 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Siganidae 4 0 112.875 50338.76 13207.377 112.874668312439 1 1094.20473896859 1 1283.66686293934 1 50338.7602387805 1 Recoded variable Extrapolated yearly weight (kg) caught by the community - Sphyraenidae 4 0 0 4034.117 1678.035 0 1 811.940936611591 1 1866.08083868983 1 4034.11696108705 1 Recoded variable