SPC_PNG_2006_SE-PROCFISH_v01_M_v01_A_PUF
DDI_SPC_PNG_2006_SE-PROCFISH_v01_M_v01_A_PUF
Statistics for Development Division
2019-11-05
Nesstar Publisher
PROCFish/C - Socio-Economic survey 2006
SE-PROCFISH 2006
SPC_PNG_2006_SE-PROCFISH_v01_M_v01_A_PUF
Coastal Fisheries Programme
National Fisheries Authority
Provincial staff
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.
Household and Individual (Finfish fishers; Invertebrate fishers; Key informants; Shop owners).
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 [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 this 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
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49
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50
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51
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52
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53
70545016-A808-4C21-A6E1-019D8C8C6E02
54
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55
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56
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57
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58
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59
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60
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61
8170F07D-CF2D-46F1-8E39-2D9D96DC3BE7
62
8C61598D-24F5-4DF4-A5DE-DD27988CD6DF
63
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64
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65
8E00028F-5CE3-4B60-8BB2-FE0C843AC617
66
8E914CC2-DE1F-4CF5-843B-B14F42A9709A
67
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68
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69
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70
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71
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72
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73
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74
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75
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76
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77
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78
A966F10E-FDAF-436E-B299-94BF17DF6E3D
79
AB52E4DF-3D5C-4B4A-ACC0-AE49819B01F2
80
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81
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82
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83
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84
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85
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86
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87
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88
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89
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90
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91
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94
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95
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96
CC99EE89-7D31-4AF3-9156-176C1EEEF9AD
97
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98
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99
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100
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101
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102
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103
DE9DEF0B-52EE-474D-9B58-34C324C85009
104
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105
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106
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109
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112
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113
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114
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115
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116
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117
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118
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119
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121
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122
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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
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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
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22
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28
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35
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37
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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
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63
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64
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65
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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
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76
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78
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79
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80
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81
7B8C9DA9-57F8-43FF-9003-16F91CB233A0
82
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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
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88
8A71CEEB-F274-4000-8A3B-30C59F583E40
89
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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
16E81593-D5A9-42F7-ABE0-BB15D122007B
15
16FFFC1A-4405-460A-8626-D4B7536E39EA
16
178092FB-1684-413C-B38A-F03AA07C558F
17
1855730C-4F31-49CB-826A-503BD56E916A
18
18A7283E-23AE-49C6-A05B-27BF717A2059
19
1B5D0A04-C4EC-43D4-8CAA-E2CFD8D30449
20
1BD7DD5D-5413-429A-812A-8B8F3CEDCFE7
21
1D9452C3-5C74-43F0-A8A8-7A383BC5B66A
22
1E7B7273-5194-41E1-A78A-8C5B3D4082D3
23
1F09153A-9F56-4043-AE7E-E1CD2212F8D4
24
1F5D7BA2-554E-45B2-8309-1EF97ABD0409
25
22D91978-8299-49CA-BB38-696828B8C08F
26
233DC9B4-47B8-4BD7-BFE3-C4AAAFC251D3
27
2464E733-9050-4659-9959-8BC4B867F069
28
250B8A28-88C1-477D-84B5-200257196F01
29
29EBB3DC-9AEB-4A69-A27C-ADC9E68CB60B
30
2A60A510-BD18-421E-9012-CEB7FE757608
31
2C7CF94C-A032-4046-9191-FD46CC0930DE
32
2D0BA002-8369-48F0-B052-79CC1E7F870B
33
2D3AAC02-6AB7-434C-A293-9F07A8B2176E
34
2EE0CEC4-6B50-4055-8EA5-385B64246A53
35
2F985461-70E1-447A-AB8D-B663603946AC
36
31E5822B-501A-44C6-83B5-7773DB4A8222
37
36441875-D962-46DB-9EF9-EC811AF639C0
38
39AB2D1A-76D5-4267-BAEB-85C560EFC1DF
39
3A308E15-CCD8-4AC9-A899-C68224DCAB27
40
3B77AAFC-8AFB-45DD-B7E6-629FE463926C
41
3C129866-E49E-4EDE-9FFE-7903F14CFFB8
42
3C21FBE7-8EA7-4398-B60E-5AE502BB1A2F
43
3C6D4025-FE24-48E3-8E17-D377B18204AB
44
3C9CBAD6-A57F-404D-926F-11582ED5F1B3
45
3E525E06-532D-4223-94FC-5FD099610E7E
46
3F6B5DB2-6F79-4777-BC1E-5E5A110C8DB8
47
3FF3AD5A-A5A6-493A-B5A2-F7F9EBBB7707
48
400367FB-CB95-4058-8FAE-2F148EE5A419
49
4075DF24-199A-459B-8216-BA544C9DEBD0
50
417E0ADA-B802-4EE9-BAAD-BFDD7D30FD0E
51
42415E3F-8C74-4730-BC81-45AA4B2AF588
52
480E2C0A-BC46-445C-96A7-3161DA309375
53
4B1EE179-2F83-4250-A3C8-3CDEBED23BC4
54
4D555BFE-94E2-4EE4-8FB6-0583931BB707
55
4FC3B424-BB78-4FCC-80CD-95560C1EE660
56
50B47552-8F61-4948-8BA9-C82BE5D62EC4
57
52340304-B5B9-480E-AEB3-9E992D5D11B3
58
52E7BA6B-704B-4F66-BDD7-540C01515DE8
59
57E04DB6-0AEC-4232-8CDD-01F594CAFB08
60
59259A3D-D1D7-4ED8-B3DA-DEFD2BF11CC5
61
5BAD1599-4833-4410-80A2-889F044732C8
62
5BF41E49-5C4E-46D7-959D-EA968A90AE4C
63
5DFD8386-3F75-49D7-BBCF-CDE33E4E12B8
64
5FB0A162-152D-410B-9880-65B3F1350A14
65
635D9151-7794-4DF2-A0C9-DEEE3EC53EF7
66
63A92657-2A39-4586-B806-1BD72D24D175
67
641981A3-8118-43ED-B541-836FFA22D062
68
65B1B58B-006D-4218-BAE9-CE29F409E2DD
69
6625FF0B-C111-4E56-AF26-86AF3298A971
70
69C67FE0-4C07-4712-AADC-A87B495E4AF5
71
6CF36B87-AD61-4D42-B443-2A8FC2FEF6BC
72
70952E74-7195-4775-84F9-9D3771CA1756
73
72D3F1E4-269B-4559-BB4C-098A0DE6272C
74
73BCB88D-8DFC-443D-96B5-060AF3CC8E58
75
75D42787-D633-4D3D-A515-EC8DBA00F560
76
773F4F03-CD68-4EC0-B2B6-F66B89E3F8C8
77
7AFC5665-31F3-4D73-ACD2-EA12B6202186
78
7C4C773B-589B-4AA4-A5AD-5CB60A519894
79
7CD728D9-060A-4605-BBFA-6D82847AC4CE
80
7CE3A500-1AFD-474B-901D-3649D1650CEE
81
7D88751F-6D58-4B37-AC41-17D956BE2955
82
7DCA1B5B-CF77-44EF-8B8A-539D9F8902BE
83
7F274E8A-67B5-42A6-B3D6-D08F88241F19
84
80CAED4F-CDDC-4EC4-9191-0861354C97AA
85
80E63494-AC50-4571-9DEF-6D16CC3A3CD0
86
8200DC1C-3FD5-45B6-99FA-357BC330028A
87
8238A64C-DC6F-42DD-B597-EF1F486C758C
88
8604553F-C351-4833-9248-DE42B727B08E
89
870208FA-BA10-4DE3-B5A8-E9AAF4A0DF3D
90
87D5F7D1-6A90-486B-A3B9-003D595632E1
91
8B1160B5-05DB-4EAB-8103-49D989EFC88D
92
936871F3-3FC4-46AA-BC84-0987564BF370
93
93746593-2558-4B9E-A5AA-F8FF078E5CF0
94
95262F5F-9EE5-43CE-BCC1-33B912C74291
95
959DDE8F-9F65-4632-9BA0-EFC0A600A96A
96
963858B2-7696-4486-9F11-211FBD68041A
97
96C45F0A-1DC9-4A9B-B22A-F1FBDF6D8C3F
98
96F73680-191E-46CC-83B0-043B2AFB86BF
99
97230E2F-0785-4027-9338-DA8E09DC2B2C
100
9751AA23-7741-468D-A93D-32B592392967
101
97C912BC-0A7D-4D84-A751-47D36E047C44
102
9A65F182-8187-4301-809A-8FC890B003A2
103
9B350ED1-8FD9-4C1A-BC98-4BA6C4ABD757
104
9D69FA0B-6659-4A39-B047-FDDF4E29FE68
105
9DED1AD7-CAC7-4011-B27C-7805C59671FD
106
A2B71E98-B24F-4B6A-90BA-49374C88A8FE
107
A2B7FE29-DA62-44A9-B9E0-6D0E8E6257A0
108
A58E1A10-3FA5-4843-95DF-36584D5D3376
109
A58FFB96-0F2E-446C-B750-FD0D124B523B
110
A61B6952-4BDB-45E1-A0C8-AA41BC83DF8F
111
A841A09F-9B08-4DAD-8DA2-0462BCBD1CA3
112
AAF6865E-DDE8-4315-8307-4A93D5075D7E
113
ABEDE3D1-9C26-4973-8438-D7A6AEF06722
114
B08BDB8A-5CE2-4446-AA33-D795B4DE69E4
115
B25D231A-4DD6-4A95-B028-952E0696F83D
116
B38BB073-F8E1-48C6-8778-FCCEE083C6A0
117
B6444D72-A34E-4DDB-ADF2-CEFBC9E6DEC1
118
B7538E91-440A-480B-A56C-61C8FDAD329E
119
B89467B8-D3B7-48E1-B67D-0E19CA013539
120
BB0615A3-AF65-42F2-85BE-76296E780DB0
121
BB928651-963C-4264-AEBE-DF6C514C412B
122
BF494279-5EB2-4B1C-855B-E52026066D7C
123
BF595900-7CF9-43FB-9F78-E4303B313732
124
C087AC7F-AF13-4F74-A407-BB1FE30F4DEB
125
C1F446D0-7125-4130-8400-6FCE1CE81D10
126
C27A7692-C23C-4737-8BB0-FDC64260BCFF
127
C2ED2D76-299F-4ABC-95BF-2F9E423AB0B7
128
C4ED3E53-EE10-4FB6-8739-BB16391507E1
129
C5591A22-4433-489D-B21D-DB3C5ED6A904
130
C64DC6C8-DDE7-43FC-9D03-F50911F52213
131
CA580A05-D448-4F70-88E6-5083D0E6B6CC
132
CA8550EF-B918-4DD3-BE11-C1A9BFBBA76B
133
CB7B0C46-449A-4AC8-9018-29ADCB544653
134
CC2ABC0C-BA90-4BA5-9AF6-B8AECCA69472
135
CD2643C7-2F68-411F-A4DF-473A82A0A7AF
136
CDC6A0D2-EE60-4F50-B384-92F653B4E21D
137
CFF3222A-9186-4A29-808C-11537B679674
138
D00DCF40-81C5-4E16-9277-A3095C9B71D5
139
D1BCDB7A-8A15-4D8C-B8AC-7AC849D25BAE
140
D229645C-5D4A-4B6D-952E-3B2F79411BA9
141
D3968CD1-0941-41E2-96FB-83D9E0DA9CBC
142
D4FE0DD7-09B2-4463-A054-A548BE28FF51
143
D57DECE0-3A78-453C-8579-175932C24A2D
144
D58E8638-31CE-4FF6-A639-4E4C6A1A0AFD
145
D92D69A6-C521-4C78-90A1-28FBDF37FD77
146
D92FCA7A-D139-42E1-9293-0D0DAFEA52D5
147
D99DBF95-96D1-4FD2-A89F-BF43385262CB
148
DC5946E1-312D-4279-9E88-EE1B5A39B729
149
DC6479CB-BCDE-4467-8B73-DFA22376DA72
150
DDC3B4DB-252E-4CB2-A4BF-6208606614DC
151
DDD098B7-CA0C-49CA-84ED-1B5E084DC542
152
E02762DF-4729-45D1-AA1D-C4C1C94041F8
153
E0306D1C-72D4-4BE7-8A23-216E35ACE66A
154
E083737D-A02E-4710-925D-6B8C6C0C92DB
155
E1CEE774-B37C-47A1-BE99-482A604345E2
156
E587FFF4-EC6D-4FA7-B20F-758CF2772DF0
157
E83FE6C0-E25E-4871-B5B8-B9394D844242
158
E850C8C2-5049-4F2D-958E-3BBD7D01BB27
159
EA129E96-43D6-466C-8EBE-66E9FE3AD05D
160
EAB77FA1-27D3-401A-8D23-94AAF6336974
161
ED083E25-9FC5-4058-89BC-271B148735F0
162
EF21452D-B4B9-4628-87CB-FEF68132C943
163
EF6D5C73-9A6F-4D24-92E9-3F3508934348
164
EFD15DB1-DDAE-415A-9FA5-C2060957F2B5
165
F185D74C-28B7-45DF-9BDC-3F2EE0CCFC44
166
F3B88A4A-70F4-47DE-92FD-A2C154D59C95
167
F7A83E4F-DC97-4403-A508-5D5ACF7C9BAA
168
F9328D18-4FC8-425A-93F6-9376F6413ACE
169
F94EBDA5-C1CB-4BF2-B04B-27AF4030798A
170
FBD33A17-4FC0-4BD9-B78B-C91AAF40D1F6
171
FDA2D5EB-6793-423E-ADBD-6784AAEADEB3
Invertebrate fisher ID
171
0
1
007853FB-BEC0-461E-A872-C41C4D2BD07F
2
039491B6-47BF-45EE-88B5-D6AFBE8C4F96
3
05703662-14D9-4CE8-B684-5B02392B1CB8
4
07D871DB-253F-42AC-AE9F-AA1E98419131
5
0866BD16-F7AE-41CE-B7AB-44A66659492D
6
09028630-4E4A-4A22-BCE7-7C5D2FEB56BE
7
0B33D232-086E-4893-8E9C-53C607C2F1AB
8
0D355F5F-082D-4A1F-A158-445661A781CC
9
0DE0BDE8-5D41-486A-862A-E6521065C1B6
10
0E442276-2610-4E24-84C5-9C90CA650EAC
11
105475A7-EA26-4523-9E0E-DFD33D7EFD42
12
1371D168-14CD-454C-9616-7F35BE0E91C9
13
19138321-5BF7-479B-B66C-135DEE43F403
14
1A0A1D22-9BC1-4253-BAC0-A2EB650A853A
15
1CA4D438-F4CC-4B99-8A69-456F89461D76
16
1F5B87C9-6E85-43DB-8C47-57156EB69088
17
20D62516-6BE2-4AEB-8D08-12FBC52D40E6
18
276E2239-C5C5-47F3-A204-48684098C95F
19
2A06D29C-20FE-46CA-A4D6-38800F9EA385
20
2E11B95E-42EC-4C9B-881E-BB8994B2221F
21
310AB5FA-9F2C-496D-BB59-2EF35151EE12
22
346297A1-7E99-45F3-9384-434FE929FDCC
23
37099768-41EF-4281-B96D-7C63E3D9831D
24
39A89DB8-C459-4E46-B489-2B11BFA3F216
25
3BDF96D9-C1E6-4BF2-BB38-ABB13486083B
26
3DDFDDD1-F973-4FD6-9297-6EFF2E5B80F5
27
3FB0846E-C785-4BBA-9F11-5909CD4922E4
28
4099EF1F-64F5-41C3-8924-AF92F3EFDFA9
29
421A0384-E5F4-4B38-939A-A4FD83B52000
30
4313B178-59BA-401C-AC61-ED83CE88BE8C
31
470DE245-0CF9-417C-A5C4-D626FE4ABE50
32
4A7CA5E3-111E-4D73-97F7-4C8C4B5E9A78
33
50D0711C-A8B8-4B12-AD6A-0E13A5F5D5E7
34
53213C7C-B16A-4131-A036-B942E646DC46
35
53E8BB40-3ADE-4BFF-9940-F0474DB4AF7C
36
5544B3D5-E594-4B38-861E-B60A3EF638D9
37
57D6A58D-4ACD-4F05-AA23-108A94AD44A1
38
5998A020-FDD4-4EE3-8F1C-ED554DD95B7F
39
5A219D0C-A355-4066-93D4-0D71E21718B1
40
5B64C585-F258-445E-9F92-3C97A3B5F2FB
41
5C8E77E2-2179-4F0F-B411-B75D6276A845
42
5F0EF174-5BD4-4E49-B73A-13EFADBA4469
43
67EF9565-FC9B-46BD-A6DB-2364059FCBB8
44
69010A15-824D-4DEB-A9F7-87BADB3CDE31
45
69770AD0-29B2-4AA9-B2B9-7D5EB07C7D55
46
6D35AE54-E582-4830-A370-1B583EBDA87F
47
7007AD43-8E8E-41E1-9C58-04BD8AB382B9
48
715FEEC5-E915-4F8B-BBC0-08F3B890CD6E
49
76ACD9F5-7882-4C3C-AB5E-BD9118077362
50
773C6DD4-F89E-48C6-B8DF-36EBF84880D0
51
7A7D9882-AF38-4DE6-8CCF-AD43535FA538
52
7B3C11CA-C9CA-4964-B65F-B43EE7DA50B3
53
7BE776B4-8636-49A2-83B3-DDDD7E62D297
54
7F7238BD-10DB-4A78-84E6-2FEFD30150CD
55
807ED3D3-F9F8-4B28-B5DF-62C011809233
56
85786888-0E99-4256-8192-82BE74FAE0F7
57
862DF993-47D9-4931-9F99-BA9953F5EAFC
58
87AB428E-8925-4B6F-AE6D-8743A5DB59E1
59
88E01274-2278-4196-B0EA-4918AA170DA8
60
89DEF8C0-6579-44A2-8D68-6F48D183F9D1
61
8B588A63-03DD-47B4-8272-035EE520F301
62
8E0BCCEB-B100-4861-BA5A-E98B26A4ED69
63
8F16973A-6CA7-46BB-8974-1C38CA969264
64
9293AB83-B2CF-4067-973B-B66EDC2AE22E
65
95008C4A-C6C8-45F4-A503-91172AE73EE2
66
96200615-0B01-49FE-B7F3-B2C5ADF8E0B3
67
9672F01F-175E-4C3F-A776-9505C9EA9485
68
99B287A8-A516-4945-8533-3CB06BCBCD40
69
A1679AB0-EACC-4AE3-B6B3-46BE7B186E47
70
A1FB02C9-293A-44FC-9C35-05589466EA8C
71
A9147EE6-914C-40F7-8C70-6EF536459CFD
72
A9BA9849-CF5E-4C6D-AAEE-F63FA30637B2
73
ADBB42AC-8018-45E5-B2C5-2EEAA63C7DFC
74
AE9EC292-2430-4B9F-99A2-93C4B1B94F96
75
AF38AB25-59D8-4951-902B-BAB52B1843F7
76
B35C828D-9198-4173-98E5-CE844AA69B22
77
B749CD01-E46B-4181-B936-D6C6E4DE75F8
78
BAC8334D-0879-44CB-B89C-D2CC0F84B915
79
BE7D46B5-D08A-4209-A821-2D058C6CF73B
80
BFCE0520-27E5-4E56-94A9-871812827B64
81
C4D1F816-722D-4CB4-AF37-8A0192540FFE
82
C8E1EE45-4C12-44E9-85D8-21D9854E05A5
83
C9A582C0-6E6D-44A4-AB1E-AC7105CD1FA6
84
CC60C9FE-C023-4C23-A61F-AD7C997045CE
85
CEDA0CAA-B2CA-422B-90FD-9933819640BD
86
D37E4B92-7DDE-4715-8244-615247A8F848
87
D650FCD2-1FF8-4B81-BC1A-D5F3DCA8C3D1
88
D90BED69-61C1-45C3-AEAB-DD290ECF619A
89
D9BDF3DE-1180-4F5C-B8F4-130DD65880D7
90
DC188685-CC14-4F58-8CC4-B41F0AC840B4
91
DDE35350-71C5-407F-B4E7-8B3EEE546B76
92
E5DC7C54-740D-454C-983F-A331A8CCAA6B
93
E6024BC1-30F7-4F4A-8910-9AD04245596C
94
E93DE31B-8D84-43C2-8655-F237BF55F1FE
95
EAFC5A58-A85F-472C-A08F-B8C984C9C778
96
F1B48681-8697-4267-A961-AE815D97748E
97
F1E911BB-754F-4EFC-B1CF-616E1E876B05
98
F22A0DAC-8B79-43B4-8194-71C6BADA16E2
99
F6A23B89-FD3A-4C4E-8050-9E3C76D9B07D
100
F6F2BD62-864F-41BF-AB90-A92B153017F3
101
FE53A1C6-F73E-4968-A665-27CA6239384C
Household ID
171
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
1584D049-438D-4F7D-87A2-BBBE9C556045
11
17DC6E74-E5EA-4D6A-8333-1D71799E0AA5
12
1860F86B-445F-4868-9563-3E1289B70627
13
1C809977-DFC9-41B8-8AEC-1DC47E1722FE
14
1CFF0290-0CBF-4A5B-AB40-F27FA829C5E3
15
21E5B721-BDB3-444C-A432-B9B21AF89730
16
23090030-E1CF-476C-A6B5-E3B91655BCE9
17
24590BFF-349E-4193-9F86-C8BD7338CF5E
18
24C43471-0914-4AF8-AF5C-3E4C2C07783D
19
3225EEC4-718D-4D54-82A0-C5FB8218940E
20
34977A3D-7C4D-4273-BBE2-22F42D934C52
21
38A551E4-7BFE-40B9-B2A6-C749FF7578F4
22
3989BED5-409F-4354-A93E-817A81AEDFB1
23
39A3E49E-37B9-469E-B7E5-2925B5152803
24
3E2D9289-C2D7-4452-9AB3-39A162DA0517
25
428EC8DF-8F1B-40C5-9F09-687F12E826B2
26
45A709DF-276D-4888-8221-6D708F85E45A
27
460B0E5C-F349-449B-92C2-CCD72BC017BA
28
477AFC7B-72B4-43E1-8894-009BF762E84F
29
480D606F-76E6-48A7-821A-04BE020B6478
30
48DEEE7E-84AB-4350-A33C-747AF126C6BF
31
4B17134E-1D66-4E72-908D-338D78B16497
32
50DA7B0C-0994-445A-B096-80C76126ECDF
33
522C0604-FE5B-4C8B-B1DB-1748972007DE
34
543D5C91-D6C9-44A1-BFD4-B3541062C7AC
35
54DFEE20-F6B6-4D61-8D44-ED72759B075C
36
5A36CED2-3726-421D-A5D0-BB660A02DE5A
37
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