SPC_PYF_2003_SE-PROCFISH_v01_M_v01_A_PUF
DDI_SPC_PYF_2003_SE-PROCFISH_v01_M_v01_A_PUF
Statistics for Development Division
2019-11-06
Nesstar Publisher
PROCFish/C - Socio-Economic survey 2003-2006
SE-PROCFISH 2003
Enquête Socio-Economique du Programme Régional de Développement des Pêches Océaniques et Côtières 2003-2006
SPC_PYF_2003_SE-PROCFISH_v01_M_v01_A_PUF
Coastal Fisheries Programme
Service de la Pêche
Centre de Recherches Insulaires et Observatoire de l’Environnement (CRIOBE)
Reef Fisheries Observatory
Nesstar Publisher
European Development Fund
Coastal Fisheries Programme
Socio-Economic/Monitoring Survey [hh/sems]
In late 2003—early 2004, the Pacific Community (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. Between 2003 and 2006, PROCFish/C project conducted fieldwork in French Polynesia in 5 different sites.
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
French Polynesia
5 sites: Fakarava, Maatea, Mataiea, Raivavae and Tikehau.
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
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.]]>
The team leader should follow up on data gaps identified after filling in the checklist and assign tasks for collecting the missing data accordingly. Most of this missing data should be collected during survey implementation in the respective community(ies).
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, French Polynesia PROCFish/C - Socio-Economic survey 2003-2006 (SE-PROCFISH 2003), 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_PYF_2003_SEprocfish_Household_v01_PUF.NSDstat
This file is the "Household" dataset of the 2003-2006 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of French Polynesia. It contains information collected using the "Household Census and Consumption Survey" form.
138
56
Nesstar 200801
Coastal Fisheries Programme (SPC).
Version 01: This is the final, clean, labelled and anonymized version of the Master file.
SPC_PYF_2003_SEprocfish_FinfishF_v01_PUF.NSDstat
This file is the "Finfish Fishers" dataset of the 2003-2006 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of French Polynesia . It contains information collected using the "Fishing (Finfish) and Marketing Survey" form.
108
118
Nesstar 200801
Coastal Fisheries Programme (SPC).
Version 01: This is the final, clean, labelled and anonymized version of the Master file.
SPC_PYF_2003_SEprocfish_InvertebrateF_v01_PUF.NSDstat
This file is the "Invertebrate Fishers" dataset of the 2003-2006 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of French Polynesia. It contains information collected using the "Invertebrate Fishing and Marketing Survey" form.
85
79
Nesstar 200801
Coastal Fisheries Programme (SPC).
Version 01: This is the final, clean, labelled and anonymized version of the Master file.
SPC_PYF_2003_SEprocfish_Sites_v01_PUF.NSDstat
This file is the "Sites" dataset of the 2003-2006 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of French Polynesia. It contains information collected throughout all the questionnaire forms concerning the different sites that were surveyed in French Polynesia (Fakarava, Maatea, Mataiea, Raivavae and Tikehau).
5
93
Nesstar 200801
Coastal Fisheries Programme (SPC).
Version 01: This is the final, clean, labelled and anonymized version of the Master file.
Site
138
0
1
5
1
Fakarava
25
2
Maatea
28
3
Mataiea
31
4
Raivavae
30
5
Tikehau
24
Household Code
138
0
Date
138
Number of people in the Household
How many people ALWAYS live in your household?
138
0
1
19
5.181
1
7
2
18
3
20
4
20
5
21
6
18
7
13
8
7
9
4
10
1
11
3
12
1
13
2
18
2
19
1
1st Income in cash - Fishing
(rank options, 1 = most money, 2 = second important income source, 3 = 3rd important income source, 4 = 4th important income source)
138
0
0
1
0
No
118
1
Yes
20
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)
138
0
0
1
0
No
122
1
Yes
16
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)
138
0
0
1
0
No
74
1
Yes
64
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)
138
0
0
1
0
No
101
1
Yes
37
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)
138
0
0
1
0
No
122
1
Yes
16
2nd Income in cash - Agriculture
(rank options, 1 = most money, 2 = second important income source, 3 = 3rd important income source, 4 = 4th important income source)
138
0
0
1
0
No
119
1
Yes
19
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)
138
0
0
1
0
No
126
1
Yes
12
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)
138
0
0
1
0
No
91
1
Yes
47
Household gets remittance
Do you get remittances?
138
0
0
1
0
No
131
1
Yes
7
Amount (USD) of remittance
How much? (enter amount) Every time?
138
0
0
2817.802
53.548
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.)?
138
0
1296.96
25939.2
9752.575
Extrapolated yearly consumption in Kg for an adult male in the HH - Fresh fish
138
0
1.454
205.46
53.754
Extrapolated yearly consumption in Kg for an adult male in the HH - Canned fish
138
0
0
36.935
3.995
Extrapolated yearly consumption in Kg for an adult male in the HH - Invertebrate
138
0
0
64.419
4.207
Frequency - Consumption of fresh fish
138
0
0.115
7
3.277
Frequency - Consumption of seafood
138
0
0
7
0.379
Frequency - Consumption of canned fish
138
0
0
7
0.653
Number of Male in the HH - Fishing finfish (exclusively)
138
0
0
3
0.58
0
80
1
40
2
14
3
4
Number of Female in the HH - Fishing finfish (exclusively)
138
0
0
4
0.167
0
120
1
16
3
1
4
1
Number of Male in the HH - Fishing invertebrate (exclusively)
138
0
0
1
0.00725
0
137
1
1
Number of Female in the HH - Fishing invertebrate (exclusively)
138
0
0
3
0.239
0
117
1
11
2
8
3
2
Number of Male in the HH - Fishing both finfish and invert.
138
0
0
4
0.601
0
86
1
33
2
9
3
8
4
2
Number of Female in the HH - Fishing both finfish and invert.
138
0
0
3
0.116
0
126
1
10
3
2
Number of Male in the HH - Fishers
138
0
0
4
1.188
0
30
1
69
2
24
3
13
4
2
Number of Female in the HH - Fishers
138
0
0
4
0.522
0
90
1
32
2
9
3
6
4
1
Number of fishers in the HH
How many fishers live in your household?
138
0
0
7
1.71
0
20
1
54
2
36
3
15
4
6
5
2
6
4
7
1
Number of canoes owned by the HH
138
0
0
2
0.138
0
120
1
17
2
1
Number of sailboats owned by the HH
138
0
0
0
0
0
138
Number of motorboats owned by the HH
138
0
0
3
0.616
0
68
1
59
2
7
3
4
Number of boats owned by the HH
Does this household own a boat?
138
0
0
3
0.754
0
52
1
72
2
10
3
4
Main Source of Fish - Caught
138
0
0
1
0
No
52
1
Yes
86
Main Source of Fish - Given
138
0
0
1
0
No
126
1
Yes
12
Main Source of Fish - Bought
138
0
0
1
0
No
97
1
Yes
41
2nd Source - Fish - Caught
138
0
0
1
0
No
116
1
Yes
22
2nd Source - Fish - Given
138
0
0
1
0
No
106
1
Yes
32
2nd Source - Fish - Bought
138
0
0
1
0
No
117
1
Yes
21
3rd Source - Fish - Caught
138
0
0
1
0
No
134
1
Yes
4
3rd Source - Fish - Given
138
0
0
1
0
No
129
1
Yes
9
3rd Source - Fish - Bought
138
0
0
1
0
No
132
1
Yes
6
Main Source of Invertebrate - Caught
138
0
0
1
0
No
81
1
Yes
57
Main Source of Invertebrate - Given
138
0
0
1
0
No
128
1
Yes
10
Main Source of Invertebrate - Bought
138
0
0
1
0
No
123
1
Yes
15
2nd Source - Invertebrate - Caught
138
0
0
1
0
No
134
1
Yes
4
2nd Source - Invertebrate - Given
138
0
0
1
0
No
128
1
Yes
10
2nd Source - Invertebrate - Bought
138
0
0
1
0
No
135
1
Yes
3
3rd Source - Invertebrate - Caught
138
0
0
1
0
No
137
1
Yes
1
3rd Source - Invertebrate - Given
138
0
0
0
0
No
138
1
Yes
0
3rd Source - Invertebrate - Bought
138
0
0
0
0
No
138
1
Yes
0
Nb people having achieved - Primary
138
0
0
10
1.638
0
49
1
31
2
28
3
8
4
10
5
5
6
3
7
2
8
1
10
1
Nb people having achieved - Secondary
138
0
0
7
1.065
0
55
1
41
2
28
3
10
4
2
5
1
7
1
Nb people having achieved - Tertiary
138
0
0
7
0.775
0
75
1
35
2
18
3
8
5
1
7
1
Unique Household ID
138
0
1
00395108-056B-4DB0-BBD4-8331EB90E5BC
2
00CE6ECC-6A8F-48F3-B0E1-7192988C5782
3
04FBED76-8497-4A74-A65F-A17B7E9185A6
4
0A96359C-CCE4-442F-BFFC-DB5A877F82A3
5
0D20D227-C8ED-4447-96D2-171B76D21162
6
0EC1BA1A-684B-4D9E-8C7A-6B0F35FD0A67
7
0F80BDB3-395B-44A2-9809-11A552B4D3B5
8
117B4AF3-6978-46DD-8D79-8CC9905103DC
9
11DADD4F-D5A0-40AF-AC23-7205436D1130
10
11E4BCE8-8B3B-4391-9FDA-591AABD10354
11
157B1957-A731-4E5C-BFF1-9240CACBD2CF
12
1906D503-444D-4BBB-B1A2-9D86AFE2CEDE
13
19662D21-22D8-4C74-8FED-E86F33D4D149
14
19F51826-B8B6-4397-93CD-CAAF337FEC1A
15
1C47A085-C429-42DF-9568-75A3E9E84675
16
1D77415D-17E4-4EB0-B553-76641F20A3BC
17
1E8806A3-36EF-43A4-BB79-3FE37A92E09B
18
20DFF3E2-F0F7-4677-955D-CFD9D0CE5898
19
21E20976-3960-48C5-BD9E-7407D1D19A02
20
231A35F0-0AA3-4DA6-BEB4-EB0F2501BF91
21
24C5A3B0-BF94-431A-B0F6-2DA558D9DBC1
22
25BBB55A-E2F1-4358-AAFD-520990457B15
23
26A71E2A-F0AF-4943-BF00-BA7C8EEDAA75
24
2AB3A938-FF06-44E2-81B5-28F5F9F384B8
25
2B25933B-9F63-40B0-88CF-93BB7347D717
26
2C4E7474-24C7-452B-B33E-D0D719282F06
27
30B234AE-B9AD-4E64-A5A6-2965DC3B081E
28
310D9530-86FF-4B83-A1D5-BE612FC29870
29
34F8F7DF-12C7-401A-A1E1-69DB8E43914D
30
3692BE6B-AD14-4808-8573-0F5E358CCB65
31
37721753-F3B4-4D37-BA72-9FF094B5D62A
32
37A35021-DFF9-40B6-98C8-0E3282F23D09
33
3B204B57-3E0D-455F-A743-48122EAFAB50
34
3B3C21CE-8479-4C13-8D18-A11234490F26
35
3B6480E6-924A-4B3C-82C5-7266C1F71665
36
3D8AE6EB-5AA3-40A5-820B-193385998CE2
37
3F4A15D8-926B-41D8-9B01-23D3B69A34A3
38
3FA8CDDA-5FED-4777-A103-851CC0129093
39
4174DC8E-3EE7-45E0-B59B-2F17E1448F00
40
41D03363-09F6-42B3-A955-4F0F8DACE907
41
433BD933-64F5-41C7-85AE-8C2DE1A3EBF8
42
44FB8F89-A984-45EB-89B1-DB041F431C82
43
46A24374-8B43-4CB1-8C8C-2A46166841DB
44
4A6E0809-B206-47F2-9D18-C68EE7358103
45
4C6D07A0-417D-401C-A8D3-1747124A87C9
46
4E0A24A8-DC1C-4893-8D27-FFC2143EA219
47
4E656091-1167-4020-92E3-BD4595CDC55F
48
4E667D4D-3CE3-4FFE-A198-5BB1C2B11C1A
49
4ECE1186-1A9D-4B91-AE81-7DCD5624B19D
50
50315ABB-14BB-43ED-B37F-C09F201C9607
51
52ADE879-49AB-4140-A2EF-8FDEB1675C7C
52
56445F57-137F-496B-9EAA-16D1C3BB5D1F
53
56A16F27-1A55-4E8A-843B-4C68DABE079A
54
5700E5D2-1459-423C-A36E-DA1BCBF5517F
55
5787C9F3-8B26-4FF0-A2CB-50748443DE86
56
582FE71D-B047-455E-9531-C2A12000F91F
57
592E8FC2-C229-40AD-9F30-57636F5DE559
58
599CB78E-1CD6-407B-8C72-ABEB69F1F209
59
5A2B647C-E61E-4AB7-893C-2A3913574FD4
60
5F0C5DE2-2633-4C4A-8005-13B675BFEEC0
61
6436C7BA-70CE-40D6-A64E-442B7259C9C6
62
64A0B33D-07D7-4AE1-B279-26A0C5D208D5
63
670FF2FA-A69B-40E3-B697-97B10F1A5654
64
6826DF1D-EE5B-42CF-AD57-466E650E0A6D
65
68E1F3CE-D7DC-403B-9542-4E1B5D6D23BF
66
6D295503-B36B-4871-B540-C55C6927EC5B
67
75B9124B-0382-4679-9E2F-AB56AF68F2F7
68
78A87E5F-AB38-499E-8162-0B35E055A16A
69
7F2D9A62-7337-40AF-BBB6-D2816F7B66BD
70
816647A0-14B1-421C-97A0-AAD3FDAEB52B
71
827C5F57-A6DA-4CDF-A10F-8D1B9DB8FDA4
72
838D150B-90AB-460E-A572-1916990BE7AC
73
88F01ACA-D695-41D1-820C-D133A19F2662
74
8954097B-3D7C-436D-97F0-FBB03E1CD23A
75
8AC8DB50-936D-45B4-B25D-C46B7F5A77DD
76
8B4493F3-570F-49FB-B7FF-65F061159456
77
8D239613-E347-4C42-B579-1B8865A0D09B
78
8D3AC852-CBE4-4D56-B25C-24F6449C4D80
79
8FE94D13-3FF1-490C-A762-C31FD00DA855
80
90C6A6C8-28CA-4DAB-A42B-2B496ECAC7C6
81
933DBF00-6DFD-4F54-AB55-B9F389D8EAF3
82
94D19258-FDD7-455C-AFE3-4D4FC858D37F
83
95D308ED-2932-416D-9EFE-902134010D1A
84
996A2A66-D93C-4B62-B569-58389F0EDF5E
85
9BDBE1B8-4231-474A-86A1-74DCA534D0EF
86
9E638588-3D3E-4461-A2AE-9CDB0CDB31E7
87
9F7C6BD7-9682-4F12-8567-7D321880DE1E
88
A1B9990F-CA4B-4C58-99AB-3F82FF3607AA
89
A39EC905-39D4-446D-999E-28CE8747246E
90
A413B18A-4582-46E0-8DF0-77210AA3754D
91
A4D3662E-7D6E-4FA6-8A31-5CA9BB9C79DE
92
A76DB8CB-DC02-4586-92BB-1E15E3709476
93
A7CD927E-D5DD-4CCD-9ED0-9E2F7811A322
94
AA14811D-3ABE-4D57-94BF-735D9DFBEE2A
95
ACDEF1C0-D061-45DF-8FE8-E27AD2839405
96
AF0C3BF2-F387-49E6-A381-25A9029C8EDD
97
B1998120-443D-4F9A-82D0-5C9C837856F1
98
B1A8E45D-80B7-458F-8536-1D824E33C367
99
B511A981-101C-4B1D-A6B4-ABCDC65876FE
100
B924967A-FA59-4131-8CC9-B24B9858B5D6
101
BA2DFE1F-B04D-42EE-A386-547798018ECC
102
BC84FB7E-1B6F-4050-9061-421CDE2E41F5
103
BED5150E-228F-416E-A37D-80D0DE2DB86B
104
C201D9D6-AD00-42FA-AAED-8EC5D3DE9965
105
C507F818-277F-455B-A405-A87D71263833
106
C6347640-1171-42D1-A6D0-FA90F16A7AE0
107
C6B6C8EB-F62B-4D2B-957B-5EB228BDE458
108
C708CD2F-0987-4C5E-AB74-8D93586B20B2
109
C8D12CBA-9676-4460-86FB-3F22E90703BB
110
CA06B12F-6F6A-4F57-B411-702A70D6B9F5
111
CAD311C3-B9B9-46C6-9680-1755697BC99C
112
CBE5398B-B81E-4475-8328-2782F869C892
113
CC298C83-829D-4F11-93DE-093B455865D7
114
D36AD0D0-9D4B-407B-8B24-A98738D526E7
115
D81DE5F1-B9D4-4DC3-B718-323BBE894FE2
116
D9C5C6F3-681B-4EB4-85AF-FDE1B9BD265E
117
DF381DC9-8D18-4719-A657-4D4CA38DB629
118
DFD4C818-8183-4359-AA30-C25DA2183E0F
119
E221F0D1-3AF7-4C9D-A8E1-05C21CA8A9F3
120
E34B5206-95D3-48DA-9496-B0B6367C38A0
121
E3A6A1BB-8885-4A89-BB25-C9457CC21379
122
E3DA2487-CA8F-4EC6-8DA4-061572BBD878
123
E46AFFF3-2CF7-4ADD-ACEF-AAEE95C39668
124
E6E5851C-AA37-4427-B1C1-AC959C6EF7D6
125
EA5BFDA4-C223-4EF7-B5DF-400D507754E4
126
EAED2F52-5A08-4AA9-890A-1D76DDB30B29
127
EB9F9D7B-9659-4E38-AFBC-8BA0304C0172
128
EBECE67C-774B-4E65-AC4C-DF0BC0AC9F85
129
EC79B5E3-325F-48EF-8FE6-8F847E433DB0
130
ED159D99-1B9D-49D0-BC4C-6BEDE96655C1
131
EE715D37-1F60-4055-8A3E-EEACE251FDBB
132
F09B558D-C73E-4581-B46B-E27FECC7C3E8
133
F103A356-0D84-4310-A09B-97D762A1E335
134
F2BFFFEA-8528-4DA4-8814-92BF6D08D266
135
F958DA92-D811-4A06-97BA-BDD03D8A0D85
136
FCBC2728-C9EB-4299-9405-D2972C5E5A0D
137
FF834970-4C8E-4393-A812-3CB20FF7508C
138
FFA40347-206D-40C1-BF1A-EFF70BEEA5E0
Site
108
0
1
5
1
Fakarava
23
2
Maatea
27
3
Mataiea
22
4
Raivavae
19
5
Tikehau
17
Household code
108
0
Gender of fisher
108
0
1
2
1
Male
90
2
Female
18
Habitat - Coastal
108
0
0
1
0
No
69
1
Yes
39
Habitat - Lagoon
108
0
0
1
0
No
67
1
Yes
41
Habitat - Outer reef
108
0
0
1
0
No
92
1
Yes
16
Habitat - Passe
108
0
0
1
0
No
90
1
Yes
18
Habitat - Magrove
108
0
0
0
0
No
108
1
Yes
0
Habitat combination
Which areas do you fish?
108
0
1
8
1
Coastal reef
37
2
Coastal reef+Lagoon
1
3
Coastal reef+Outer reef
1
4
Lagoon
39
5
Lagoon+Pelagic
1
6
Outer reef
12
7
Outer reef+Pelagic
3
8
Pelagic
14
Average catch per trip (kg)
What is your average catch (kg) per trip?
108
0
0.403
220
22.745
Kept catch (kg)
How much of your usual catch do you keep for family consumption?
108
0
0
19.282
4.779
Given catch (kg)
and the rest you gift?
108
0
0
95
5.693
Sold catch (kg)
and/or sell? How much?
108
0
0
187
12.508
Fish for family consumption
Do you use your catch for family consumption?
108
0
0
1
0
No
3
1
Yes
105
Give fish as a gift
Do you give fish as a gift (for no money)?
108
0
0
1
0
No
41
1
Yes
67
Sell fish
Do you sell fish?
108
0
0
1
0
No
68
1
Yes
40
Fishing time - Daytime
108
0
0
1
0
No
18
1
Yes
90
Fishing time - Night
108
0
0
1
0
No
61
1
Yes
47
Fishing time
WHEN do you go fishing?
108
0
1
3
1
Day
61
2
Night
18
3
Day and Night
29
Yearly hours
What time do you spend fishing this habitat per average trip?
108
0
6.247
1737.143
266.587
Recoded variable.
Fishing months
Do you go all year?
108
0
5
12
10.583
5
2
6
2
7
6
8
5
9
9
10
20
11
10
12
54
Recoded variable
Trips per week
How often (days/week) do you fish in each of the habitats visited?
108
0
0.0385
6
1.58
Time spent fishing (in month)
How often (days/week) do you fish in each of the habitats visited?
108
0
1
12
4.454
Recoded variable
Boat use - Always
108
0
0
1
0
No
11
1
Yes
97
Boat use - Sometimes
108
0
0
1
0
No
105
1
Yes
3
Boat use - Never
108
0
0
1
0
No
101
1
Yes
7
Boat use
Do you use a boat for fishing?
108
0
1
4
1
Always
97
2
Sometimes
3
3
Never
7
4
NULL
1
Preservation method - Ice - Always
108
0
0
1
0
No
72
1
Yes
36
Preservation method - Ice - Sometimes
108
0
0
1
0
No
107
1
Yes
1
Preservation method - Ice - Never
108
0
0
1
0
No
37
1
Yes
71
Preservation method - Ice
Do you use ice on your fishing trips?
108
0
1
3
1
Always
36
2
Never
1
3
Sometimes
71
Fishing technique - Handlining
108
0
0
1
0
No
53
1
Yes
55
Fishing technique - Castnetting
108
0
0
0
0
No
108
1
Yes
0
Fishing technique - Speardiving
108
0
0
1
0
No
44
1
Yes
64
Fishing technique - Deep bottom handlining
108
0
0
0
0
No
108
1
Yes
0
Fishing technique - Gillnetting
108
0
0
1
0
No
98
1
Yes
10
Fishing technique - Spear while walking/canoeing
108
0
0
1
0
No
105
1
Yes
3
Fishing technique - Other
108
0
0
1
0
No
85
1
Yes
23
Total catch per year (kg)
What is your average catch (kg) per trip?
108
0
1.02
57325.712
2344.195
Recoded variable
Size (cm) - Acanthuridae
108
0
0
65.32
17.899
Size (cm) - Albulidae
(write down the species in the table)
108
0
0
69.557
2.427
Size (cm) - Balistidae
(write down the species in the table)
108
0
0
80
0.741
Size (cm) - Belonidae
(write down the species in the table)
108
0
0
0
0
Size (cm) - Caesionidae
(write down the species in the table)
108
0
0
44.854
0.415
Size (cm) - Carangidae
(write down the species in the table)
108
0
0
60
17.585
Size (cm) - Chanidae
(write down the species in the table)
108
0
0
0
0
Size (cm) - Cirrhitidae
(write down the species in the table)
108
0
0
0
0
Size (cm) - Gerreidae
(write down the species in the table)
108
0
0
0
0
Size (cm) - Hemiramphidae
(write down the species in the table)
108
0
0
0
0
Size (cm) - Holocentridae
(write down the species in the table)
108
0
0
32
10.784
Size (cm) - Kyphosidae
(write down the species in the table)
108
0
0
60
4.357
Size (cm) - Labridae
(write down the species in the table)
108
0
0
28
1.322
Size (cm) - Lethrinidae
(write down the species in the table)
108
0
0
60
9.505
Size (cm) - Lutjanidae
(write down the species in the table)
108
0
0
66.169
7.03
Size (cm) - Mugilidae
(write down the species in the table)
108
0
0
60
0.556
Size (cm) - Mullidae
(write down the species in the table)
108
0
0
32
3.446
Size (cm) - Other
(write down the species in the table)
108
0
0
67.458
1.143
Size (cm) - Platycephalidae
(write down the species in the table)
108
0
0
0
0
Size (cm) - Priacanthidae
(write down the species in the table)
108
0
0
40
3.63
Size (cm) - Scaridae
(write down the species in the table)
108
0
0
60
23.282
Size (cm) - Serranidae
(write down the species in the table)
108
0
0
66.169
11.101
Size (cm) - Siganidae
(write down the species in the table)
108
0
0
34.717
5.367
Size (cm) - Sphyraenidae
(write down the species in the table)
108
0
0
0
0
Size (cm) - Average
(write down the species in the table)
108
0
8
60
30.103
Weight percentage - Acanthuridae
(write down the species in the table)
108
0
0
1
0.171
Weight percentage - Albulidae
(write down the species in the table)
108
0
0
0.0682
0.00183
Weight percentage - Balistidae
(write down the species in the table)
108
0
0
0.494
0.00457
Weight percentage - Belonidae
(write down the species in the table)
108
0
0
0
0
Weight percentage - Caesionidae
(write down the species in the table)
108
0
0
0.167
0.00154
Weight percentage - Carangidae
(write down the species in the table)
108
0
0
0.809
0.157
Weight percentage - Chanidae
(write down the species in the table)
108
0
0
0
0
Weight percentage - Cirrhitidae
(write down the species in the table)
108
0
0
0
0
Weight percentage - Exocoetidae
(write down the species in the table)
108
0
0
0
0
Weight percentage - Gerreidae
(write down the species in the table)
108
0
0
0
0
Weight percentage - Hemiramphidae
(write down the species in the table)
108
0
0
0
0
Weight percentage - Holocentridae
(write down the species in the table)
108
0
0
1
0.092
Weight percentage - Kyphosidae
(write down the species in the table)
108
0
0
0.536
0.026
Weight percentage - Labridae
(write down the species in the table)
108
0
0
0.411
0.0136
Weight percentage - Lethrinidae
(write down the species in the table)
108
0
0
0.5
0.0602
Weight percentage - Lutjanidae
(write down the species in the table)
108
0
0
0.848
0.0686
Weight percentage - Mugilidae
(write down the species in the table)
108
0
0
0.2
0.00185
Weight percentage - Mullidae
(write down the species in the table)
108
0
0
0.547
0.033
Weight percentage - Other
(write down the species in the table)
108
0
0
0.2
0.00441
Weight percentage - Platycephalidae
(write down the species in the table)
108
0
0
0
0
Weight percentage - Priacanthidae
(write down the species in the table)
108
0
0
0.408
0.0225
Weight percentage - Scaridae
(write down the species in the table)
108
0
0
1
0.19
Weight percentage - Serranidae
(write down the species in the table)
108
0
0
1
0.117
Weight percentage - Siganidae
(write down the species in the table)
108
0
0
0.6
0.0344
Weight percentage - Sphyraenidae
(write down the species in the table)
108
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher - Acanthuridae
(write down the species in the table)
108
0
0
7817.143
257.331
Extrapolated yearly weight (kg) caught by the fisher - Albulidae
(write down the species in the table)
108
0
0
3908.571
55.961
Extrapolated yearly weight (kg) caught by the fisher - Balistidae
(write down the species in the table)
108
0
0
35.938
0.333
Extrapolated yearly weight (kg) caught by the fisher - Belonidae
(write down the species in the table)
108
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher - Caesionidae
(write down the species in the table)
108
0
0
260.571
2.413
Extrapolated yearly weight (kg) caught by the fisher - Carangidae
(write down the species in the table)
108
0
0
35177.142
730.094
Extrapolated yearly weight (kg) caught by the fisher - Chanidae
(write down the species in the table)
108
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher Cirrhitidae
(write down the species in the table)
108
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher Exocoetidae
(write down the species in the table)
108
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher Gerreidae
(write down the species in the table)
108
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher Hemiramphidae
(write down the species in the table)
108
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher Holocentridae
(write down the species in the table)
108
0
0
7961.904
185.34
Extrapolated yearly weight (kg) caught by the fisher Kyphosidae
(write down the species in the table)
108
0
0
217.143
12.38
Extrapolated yearly weight (kg) caught by the fisher Labridae
(write down the species in the table)
108
0
0
259.662
5.564
Extrapolated yearly weight (kg) caught by the fisher Lethrinidae
(write down the species in the table)
108
0
0
6514.285
177.673
Extrapolated yearly weight (kg) caught by the fisher Lutjanidae
(write down the species in the table)
108
0
0
4976.19
166.682
Extrapolated yearly weight (kg) caught by the fisher Mugilidae
(write down the species in the table)
108
0
0
217.143
2.011
Extrapolated yearly weight (kg) caught by the fisher Mullidae
(write down the species in the table)
108
0
0
9047.619
171.136
Extrapolated yearly weight (kg) caught by the fisher Other
(write down the species in the table)
108
0
0
199.048
2.143
Extrapolated yearly weight (kg) caught by the fisher Platycephalidae
(write down the species in the table)
108
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher Priacanthidae
(write down the species in the table)
108
0
0
10422.857
261.942
Extrapolated yearly weight (kg) caught by the fisher Scaridae
(write down the species in the table)
108
0
0
3184.762
187.055
Extrapolated yearly weight (kg) caught by the fisher Serranidae
(write down the species in the table)
108
0
0
1055.042
57.476
Extrapolated yearly weight (kg) caught by the fisher Siganidae
(write down the species in the table)
108
0
0
298.571
20.139
Extrapolated yearly weight (kg) caught by the fisher - Sphyraenidae
(write down the species in the table)
108
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher - All
(write down the species in the table)
108
0
1.018
57325.712
2295.672
Household ID
108
0
1
00395108-056B-4DB0-BBD4-8331EB90E5BC
2
00CE6ECC-6A8F-48F3-B0E1-7192988C5782
3
0A96359C-CCE4-442F-BFFC-DB5A877F82A3
4
0D20D227-C8ED-4447-96D2-171B76D21162
5
0EC1BA1A-684B-4D9E-8C7A-6B0F35FD0A67
6
0F80BDB3-395B-44A2-9809-11A552B4D3B5
7
11DADD4F-D5A0-40AF-AC23-7205436D1130
8
11E4BCE8-8B3B-4391-9FDA-591AABD10354
9
157B1957-A731-4E5C-BFF1-9240CACBD2CF
10
1906D503-444D-4BBB-B1A2-9D86AFE2CEDE
11
19662D21-22D8-4C74-8FED-E86F33D4D149
12
19F51826-B8B6-4397-93CD-CAAF337FEC1A
13
1C47A085-C429-42DF-9568-75A3E9E84675
14
1D77415D-17E4-4EB0-B553-76641F20A3BC
15
1E8806A3-36EF-43A4-BB79-3FE37A92E09B
16
20DFF3E2-F0F7-4677-955D-CFD9D0CE5898
17
21E20976-3960-48C5-BD9E-7407D1D19A02
18
231A35F0-0AA3-4DA6-BEB4-EB0F2501BF91
19
26A71E2A-F0AF-4943-BF00-BA7C8EEDAA75
20
2AB3A938-FF06-44E2-81B5-28F5F9F384B8
21
2C4E7474-24C7-452B-B33E-D0D719282F06
22
30B234AE-B9AD-4E64-A5A6-2965DC3B081E
23
34F8F7DF-12C7-401A-A1E1-69DB8E43914D
24
3692BE6B-AD14-4808-8573-0F5E358CCB65
25
37721753-F3B4-4D37-BA72-9FF094B5D62A
26
3B6480E6-924A-4B3C-82C5-7266C1F71665
27
3D8AE6EB-5AA3-40A5-820B-193385998CE2
28
3F4A15D8-926B-41D8-9B01-23D3B69A34A3
29
3FA8CDDA-5FED-4777-A103-851CC0129093
30
4174DC8E-3EE7-45E0-B59B-2F17E1448F00
31
41D03363-09F6-42B3-A955-4F0F8DACE907
32
433BD933-64F5-41C7-85AE-8C2DE1A3EBF8
33
44FB8F89-A984-45EB-89B1-DB041F431C82
34
4A6E0809-B206-47F2-9D18-C68EE7358103
35
4C6D07A0-417D-401C-A8D3-1747124A87C9
36
4E0A24A8-DC1C-4893-8D27-FFC2143EA219
37
4E667D4D-3CE3-4FFE-A198-5BB1C2B11C1A
38
50315ABB-14BB-43ED-B37F-C09F201C9607
39
56445F57-137F-496B-9EAA-16D1C3BB5D1F
40
5787C9F3-8B26-4FF0-A2CB-50748443DE86
41
592E8FC2-C229-40AD-9F30-57636F5DE559
42
599CB78E-1CD6-407B-8C72-ABEB69F1F209
43
5F0C5DE2-2633-4C4A-8005-13B675BFEEC0
44
6436C7BA-70CE-40D6-A64E-442B7259C9C6
45
64A0B33D-07D7-4AE1-B279-26A0C5D208D5
46
670FF2FA-A69B-40E3-B697-97B10F1A5654
47
68E1F3CE-D7DC-403B-9542-4E1B5D6D23BF
48
6D295503-B36B-4871-B540-C55C6927EC5B
49
75B9124B-0382-4679-9E2F-AB56AF68F2F7
50
7F2D9A62-7337-40AF-BBB6-D2816F7B66BD
51
816647A0-14B1-421C-97A0-AAD3FDAEB52B
52
88F01ACA-D695-41D1-820C-D133A19F2662
53
8954097B-3D7C-436D-97F0-FBB03E1CD23A
54
8AC8DB50-936D-45B4-B25D-C46B7F5A77DD
55
8B4493F3-570F-49FB-B7FF-65F061159456
56
8D239613-E347-4C42-B579-1B8865A0D09B
57
8FE94D13-3FF1-490C-A762-C31FD00DA855
58
90C6A6C8-28CA-4DAB-A42B-2B496ECAC7C6
59
95D308ED-2932-416D-9EFE-902134010D1A
60
9BDBE1B8-4231-474A-86A1-74DCA534D0EF
61
9E638588-3D3E-4461-A2AE-9CDB0CDB31E7
62
A39EC905-39D4-446D-999E-28CE8747246E
63
A413B18A-4582-46E0-8DF0-77210AA3754D
64
A4D3662E-7D6E-4FA6-8A31-5CA9BB9C79DE
65
A76DB8CB-DC02-4586-92BB-1E15E3709476
66
A7CD927E-D5DD-4CCD-9ED0-9E2F7811A322
67
AA14811D-3ABE-4D57-94BF-735D9DFBEE2A
68
B511A981-101C-4B1D-A6B4-ABCDC65876FE
69
B924967A-FA59-4131-8CC9-B24B9858B5D6
70
BA2DFE1F-B04D-42EE-A386-547798018ECC
71
BED5150E-228F-416E-A37D-80D0DE2DB86B
72
C201D9D6-AD00-42FA-AAED-8EC5D3DE9965
73
C6347640-1171-42D1-A6D0-FA90F16A7AE0
74
C6B6C8EB-F62B-4D2B-957B-5EB228BDE458
75
C708CD2F-0987-4C5E-AB74-8D93586B20B2
76
CC298C83-829D-4F11-93DE-093B455865D7
77
D36AD0D0-9D4B-407B-8B24-A98738D526E7
78
D81DE5F1-B9D4-4DC3-B718-323BBE894FE2
79
D9C5C6F3-681B-4EB4-85AF-FDE1B9BD265E
80
DF381DC9-8D18-4719-A657-4D4CA38DB629
81
DFD4C818-8183-4359-AA30-C25DA2183E0F
82
E221F0D1-3AF7-4C9D-A8E1-05C21CA8A9F3
83
E34B5206-95D3-48DA-9496-B0B6367C38A0
84
E3A6A1BB-8885-4A89-BB25-C9457CC21379
85
E6E5851C-AA37-4427-B1C1-AC959C6EF7D6
86
EAED2F52-5A08-4AA9-890A-1D76DDB30B29
87
EBECE67C-774B-4E65-AC4C-DF0BC0AC9F85
88
ED159D99-1B9D-49D0-BC4C-6BEDE96655C1
89
EE715D37-1F60-4055-8A3E-EEACE251FDBB
90
F09B558D-C73E-4581-B46B-E27FECC7C3E8
91
F2BFFFEA-8528-4DA4-8814-92BF6D08D266
92
FFA40347-206D-40C1-BF1A-EFF70BEEA5E0
Fisher ID
108
0
1
01B2DC4B-9F35-4489-A65B-517BD893FA0C
2
02E8F599-77DB-4858-89C8-06265FFE6CE4
3
06B2E241-A08D-45B4-AE38-E980EFE3DB76
4
095523E4-C603-4737-A8B2-ABBF32DED431
5
0B9CBE84-1B9C-4620-904C-09CA81F5F342
6
0BDE24E0-00D5-4B67-BA96-623EDA497CE6
7
0C0798E3-7257-4155-ACBD-F5AE45C2B39F
8
0D6218DA-8DEC-43DD-9D6A-8DE5EF127E00
9
0FCC05DC-7909-400F-B65C-2D1725BD00F7
10
11186287-9684-4857-8599-64A79221EF03
11
12F921F6-5B07-428E-8DDF-369EB732C365
12
13C795A0-4996-46B7-856C-62E4363656EF
13
19150F07-E984-48E4-ABCF-DD4C1BE76E7F
14
1CCBCD7D-C4EE-4676-890C-B15DAC31BBC3
15
1E0208DB-5557-4996-BBE3-052D9731ADD0
16
1E6604C0-EE83-49BA-960D-970376D763D9
17
1F71585B-1118-4C51-802C-C919FEB182EC
18
22B8E9A7-7E0A-4AF6-A848-F0D136F3407E
19
2492282A-2403-4259-B23B-704CDAEE33AC
20
24F4305A-CDC2-4881-A950-20CF9C1086C7
21
252DD866-4685-4AB2-B638-EC6AAEBD7F7F
22
25A2F190-8BD5-4496-8DC8-27611E7C4674
23
27F4E68F-B9F2-4551-B2C9-A79BF2E0261A
24
290AA374-60FC-452F-A801-CB8C62EB9B7B
25
2F2F3533-B6A6-40C6-B1CF-0CE0B6FC3AC1
26
311D6AD2-E27C-4E33-B81C-8BAEC6F060F2
27
3157CBF3-15EA-4AFB-AF3D-C78B5A6D782B
28
342CEEB7-C05E-48C8-89E0-E9492084BA0A
29
365B497E-BBC7-4F20-9C06-E66A1E1B4FDB
30
3A9B616E-1843-419C-8B43-B9C47CCED730
31
3DC598C3-BB42-4FF3-9D97-ADD3C2E6E293
32
3F1DA008-9FF2-4B0C-A194-ED2C2B94D66E
33
403B2C2A-4B65-4926-BE8D-BAEEE913AD5D
34
40B1E2DC-97F4-4AA5-8A6B-456FA92A4DFF
35
4253487A-641A-4D51-B7C7-07DB8BCC19AC
36
42B7856A-1463-4ABD-BCB1-D5747F91573C
37
45A6BBD2-059C-40C7-BE8C-335FE3E2ABF8
38
4ABB3932-F2E7-4862-AE20-453D05CFB73D
39
4B686652-74D5-45FF-91D9-0B64713F1415
40
4D4305AB-FF0C-477F-B665-A09715298832
41
5409AFCF-4C42-4411-949D-F3471E500445
42
5748B88C-FB6C-4B61-9F5E-1DC70AD4A9FC
43
58085203-4FBA-4CC0-BDC7-64798142B47D
44
584291B9-9D55-4DF4-8EB3-CA41E6FF5C12
45
5DF07A84-B781-4105-A792-AD5D36AE98E2
46
616BFF58-2274-41FC-B298-9EBC3460D49B
47
63B5B193-C1F1-4FC2-A646-BE07E6B08E3A
48
660C7F01-1446-455D-9458-D62A829DC1A7
49
693B1EEF-3CC8-4F91-9074-7E94810780F9
50
6A2C2748-CD78-423E-80BD-64540BC316F3
51
6BC46C2C-DF0A-42C0-9E0C-0DCF09F34A10
52
70209DA3-130D-44DF-A771-BF4A5897E4A9
53
70CCBE34-606A-4736-974C-A9649D8669CC
54
7102A389-6425-46A0-AF96-05D930C4555A
55
732EFA37-9241-469F-BDD6-30611968812B
56
7B8810B4-BE03-484F-88BC-4E6A5C026E2B
57
8BAB95E3-0A2F-4630-B106-30F1627B95BD
58
92DF1BFF-9EF5-4161-8C99-5D864F40A87E
59
937C30C5-C8B4-4499-9473-25CECE843B88
60
94E7A646-79C0-4DF4-857C-410AF0436679
61
9801DB77-E4E9-44F1-A24E-C571F190FA1A
62
9D800F59-5833-4D67-9FCC-61B1EF720EFB
63
9FA7EE62-E21B-4D93-8F67-8C44E2F7A332
64
A0950DE6-7EE0-452F-9703-0F5F769236EA
65
A4060985-E9E6-4BCC-B632-FDF48D22EFB9
66
A41BAF51-EE17-48E5-B702-5B08BD9E9ADE
67
A421AA58-25F9-4480-8501-F545B06DDC76
68
A76C3201-F294-4452-8A91-1D74EFCEB023
69
ADCB9508-9611-4504-9B19-A5DE1525C293
70
AE7FA664-D97A-481D-AB75-D9C25C55A0E2
71
AF510FA5-4AB9-48FC-AEE9-CF71E9716428
72
B0D6A08F-ACDC-4C92-99C3-9755783D31ED
73
B29101A4-ECAC-419D-B6ED-A5ABA55378DB
74
B2E2F96E-378C-4FF1-AFE0-8413FB4A726A
75
B3020D16-6FDB-429F-B13B-085007A08315
76
B5486947-F0F7-455A-B267-76AECDEC00E0
77
B83A2966-BE01-4187-BAB3-C614C3E496B2
78
C2D78C9A-F96D-4F97-9449-939D783D5068
79
C6E3EBA0-7610-4B92-B455-C3E0FA9A1965
80
CE48D4FF-6AE6-4B32-B6B2-62C3505BF562
81
D3638500-90B9-4B66-A849-3A281C264106
82
D629CD98-3318-4773-B648-99B5825D0BC3
83
DC414C67-4B9D-4E79-B18D-C1444D1360B2
84
E453B46A-080F-4BAE-B148-9433D08443C6
85
E5B036B0-82B3-4A07-8932-E60FA73D712A
86
E7922633-9B8E-4F98-879E-EF3D285B320A
87
EAE3C3FF-82E3-4C7E-8DCE-9E313DC8D101
88
EB99599F-BEC8-4E7A-9FDE-4C79FD0AEDBA
89
ECDA8E6D-F33F-4E82-9383-79DD69D5592A
90
EEAC9270-96DF-4EE5-90B1-E7C8A2878076
91
EF2C3EF8-8CA6-41D9-81DB-26F6BFB6BFA3
92
F389207D-B728-47EA-9A23-7B12373FEA0E
93
F41ABF75-340B-4E73-982F-C125010DC5BF
94
F54B3D87-4514-4C27-9136-757C4E8CA138
95
F78BD0B5-3A3B-4FC8-AFB4-C9024632D8CB
96
FA26EBDE-615F-42B5-A35E-D1BB5419AC2B
97
FCF3B154-3748-49F5-A029-1407942169EF
98
FF9D7717-B63D-4A6B-A0D6-C45DA88EA247
99
FFBA30EE-BCA8-4B8E-B86F-27B322455972
Fishery Survey ID
108
0
1
05EEF5C4-F52A-4502-B244-B18F4B589CC6
2
06B008AE-F694-456A-ABA9-40AB2C925387
3
07F1FE25-17D1-4406-AE4D-85196D87726F
4
0BFF8F29-A6BB-435C-8DBE-FCFBE7453BE3
5
0C80CA68-EDD3-45F8-ADB3-BDA9A685FCA5
6
0CE33E03-A68F-4D40-A87E-D95096DC51D4
7
0D08D6BE-B0A1-4ED4-96C8-C9321C7FE76C
8
183635AC-4D74-4615-9C33-8A8810784C78
9
1B73CED6-F49C-4015-B8B0-AF3290E9FEAA
10
1D8276E3-92CE-4D8D-8FB9-A11D9E587D83
11
1EA53252-949B-495B-88A3-B66D80BAF7EC
12
201234DD-E20E-4DA8-9CB6-768DC3A11276
13
22AB2AD8-814C-4F52-9907-F5C92CAED4AB
14
255A48FA-A5F6-4059-B7F7-48239BE98EC3
15
2692B40E-04BF-4615-AA55-DE949406AC9F
16
29E61E58-38A0-4F69-A0E6-8C7B83AD95FF
17
2A1EBC7D-FBA6-43F6-BE2C-283A51A571EA
18
335EB8BA-9CA6-4725-8004-F6D95A01B773
19
46BAE9EF-764D-4771-85B6-7BA38DA267BD
20
4B65BB6A-F017-4775-B46A-26E42F1E993C
21
4F1C03D0-4029-4CC0-A79C-6F42AC73D6B9
22
50FF4FEE-5CEC-4DE7-900C-500F46D1A6C8
23
535F0925-84DD-4EB3-AB5A-94BF86BA72AB
24
575E980D-1259-4203-8787-A2F792718106
25
5DF9A194-8F4A-4A29-9DBB-4716F214060A
26
6002BDE2-8929-4751-BAF1-B244828D2662
27
61604776-BB06-4306-834C-E1975D0C88B2
28
61AD8DC8-A4E3-4876-9ECA-26092BDFEC43
29
61D55D71-EDDC-4059-A9D5-55D075EAA8EF
30
62149DBD-1AC1-4F77-993F-F8939A7DF77C
31
6478B850-9C7E-4520-8E13-6958102A982D
32
64FBF5A7-A73F-4D4A-A137-9EEE208BDED9
33
66754130-7D5B-4C07-B6FF-643E88F8CFEA
34
68A1B141-E938-4052-8776-8D135C1EAED2
35
68F19943-CA4A-453E-9BF8-188A9599DD7F
36
6A71324C-E998-4E2F-8BA3-0398FC871A90
37
6BAE2E2C-EABC-4D6B-8470-8875F49E1BB2
38
6BF869AC-9CE5-46F8-9A6C-50DFEBE0008C
39
6DAFDA77-E4FD-46D4-ABD0-AD1E43BF948F
40
6E3A09E6-5F03-49C0-9383-634145534E1F
41
6F880740-A75B-4CD5-82AD-A104AB0F9055
42
6FEB6431-2D71-4C5A-9AE7-802DA18D99B7
43
70B28AE5-ADA2-4075-8660-55EFCBD694A4
44
71CA7CEA-C0C9-491D-8030-110A345DE521
45
73D3D742-F308-465E-9705-DE5D3E0AB149
46
7419C32F-3E64-4BA7-8964-C596AA6B5499
47
744772E6-0A82-449B-84A9-C9C89EB60AE7
48
75F6B775-D24F-4EBB-9DFE-162497834FA4
49
789804C2-3C98-48AA-8DF4-2FC53014F55B
50
7CD55CA9-AC2D-482E-A637-E7806084203B
51
7D78FF66-ABA8-4A15-ABC5-E5B57BCB830A
52
80B1F3FA-D70D-4188-9B39-5EA38BC0BC87
53
85F2A28A-6FD4-4B58-A290-44B3F187F07B
54
86CCDB47-AA0E-4AE7-8660-89BCE73EAE7B
55
87D1C375-FAF8-4315-B15C-006CD9B07CB8
56
8846603F-2F88-4321-9E89-49437C525A89
57
89442003-408B-43E2-8CDE-6CE375956E67
58
8AC6EBD6-0E48-4F38-BCCE-F91639DE8EA3
59
8BBF0CE7-9267-4914-B201-208396E31CD0
60
8DDEB298-D393-4AB6-8934-38F042A6CB2C
61
8E635A14-49B5-408C-86C6-08B96A59EB0B
62
9001D667-37A1-45D5-8C45-3C4BE4507ED7
63
91A79D90-0D27-4CA3-A94B-C95EF5A8ADE7
64
945B946C-3BDE-4603-B541-B229D1435729
65
96152E9C-D20B-49E1-AEAF-79C440EBAC24
66
96D102D0-9482-4E09-90D6-1FFA8AD57E9F
67
9C2699B3-DF42-4C2B-951C-47EB5301EBB7
68
A6B18048-922F-41CF-A5B5-13F1953E5297
69
AAD371FE-DD48-42B1-ACB6-CB392A316989
70
AC894093-D992-4254-A916-CE41E0403CF4
71
AEA65437-E45B-4B2A-B425-BE3DC256CCB3
72
AF620488-7ABA-40F4-8864-E1A7742B6101
73
B098DF73-0A68-4222-BB95-315574CB8A01
74
B0C082E3-F782-475A-9501-41A5F3B02938
75
B618A609-6577-4474-BDC1-22DEC70D642A
76
B853A0F7-5510-475D-88AF-5F2BF3404048
77
B96B7ABD-27CF-46E7-AEED-0E39A6CF814B
78
BD766F5B-AB5E-484A-831D-3B779F50F858
79
BE49274A-C43F-4AA9-BEC0-AE09E8FF6F81
80
C3B6EC0B-F0DB-43D9-BDE4-9244D2DDFCF5
81
C4524D35-5770-4F89-9E39-1462941448C9
82
C4B60183-9A0B-41E5-927F-3468B41CA9D7
83
C998734C-598C-4753-B13F-AA0E37234E19
84
C99AFE3F-2EFD-4AA9-9806-6890BCBC1312
85
C9E37656-5784-4204-BE8D-C1CE04E43AAB
86
CC7B4B17-391C-49E8-827A-AD5F7D122F9A
87
CCCC4FAF-DB94-47FB-8564-B4FA651A28A6
88
D2440798-9DBF-4FCD-8988-AD8A1432DB41
89
D4EB18C7-F5E2-46EF-9D20-333A17A0E6F4
90
D7A0F16E-10A0-4576-B74F-368B35AAC33B
91
D7A6B1DA-96AD-4675-B675-9FC8FC9A1BF8
92
DBAF7E14-510A-4B9D-86B6-005693428E48
93
DD2EFC0D-3C8B-49EF-B8F6-90C063B4C856
94
DEDE5ECE-E5FE-46BE-9625-0A93A7F281EE
95
E0EDE28E-1216-4E64-AE01-6963E41BD176
96
E1DC2A89-E808-43D6-9C3F-B70BDBF1B806
97
E35368E5-E310-4F98-99D7-24085D6BE055
98
E3AE73A1-9342-4BAF-9FD6-9BEC4779997A
99
E58F75FB-EAAF-4642-A480-7F1F055CFC75
100
E7A21858-452E-4C7E-BF92-34CCF51AAD71
101
E7F93F46-188F-4C46-B1B7-E7FE6763069A
102
EDAB53CB-3E29-4525-ACDB-5C0C7EF5BF0E
103
EDF89425-F82E-4886-A4D9-BAE73F5D03A4
104
EE1415F9-99C4-47D5-9D3A-A9FCE71A038B
105
F1FAD23F-BE40-49F2-9B6A-E6C1F812A1DE
106
F20DBE25-C955-4396-BC3E-79D552CCB8DD
107
F49C41EA-CF63-4D34-ACFB-3350EA34DE32
108
F9E83846-FE6E-4379-9EA3-6B7666A268D1
Site
85
0
1
5
1
Fakarava
15
2
Maatea
9
3
Mataiea
14
4
Raivavae
34
5
Tikehau
13
Household Code
85
0
Gender of fisher
Gender
85
0
1
2
1
Male
61
2
Female
24
Habitat Gleaning - Seagrass
85
0
0
1
0
No
84
1
Yes
1
Habitat Gleaning - Mangrove
85
0
0
1
0
No
84
1
Yes
1
Habitat Gleaning - Sand
85
0
0
1
0
No
65
1
Yes
20
Habitat Gleaning - ReefTop
85
0
0
1
0
No
71
1
Yes
14
Habitat Diving - Beche de mer
85
0
0
0
0
No
85
1
Yes
0
Habitat Diving - Trochus
85
0
0
0
0
No
85
1
Yes
0
Habitat Diving - Lobster
85
0
0
1
0
No
66
1
Yes
19
Habitat Diving - Other
85
0
0
1
0
No
55
1
Yes
30
Habitat combination
Which type of fisheries do you do?
85
0
1
6
1
Seagrass
1
2
Lobster
19
3
Mangrove
1
4
Other
30
5
Reef top
14
6
Sand
20
Fishing time - Daytime
85
0
0
1
0
No
17
1
Yes
68
Fishing time - Night
85
0
0
1
0
No
60
1
Yes
25
Yearly hours
85
0
0.416
325.714
60.792
Fishing time
Glean/dive at
85
0
1
3
1.388
1
Day
60
2
Night
17
3
Day and Night
8
Fishing months
85
0
1
12
10.247
1
5
2
1
3
1
5
2
6
4
7
4
8
1
9
3
10
1
11
2
12
61
Trips per week
85
0
0.0192
5
0.466
Time spent fishing
85
0
1
10
4.359
Going fishing by foot
85
0
0
1
0
No
62
1
Yes
23
Going fishing by boat
85
0
0
1
0
No
23
1
Yes
62
Targeting Beche de mer - High value - Gift
85
0
0
0
0
No
85
1
Yes
0
Targeting Beche de mer - High value - Sale
85
0
0
0
0
No
85
1
Yes
0
Targeting Beche de mer - High value - Subsistence
85
0
0
0
0
No
85
1
Yes
0
Targeting Beche de mer - Low value - Gift
85
0
0
0
0
No
85
1
Yes
0
Targeting Beche de mer - Low value - Sale
85
0
0
0
0
No
85
1
Yes
0
Targeting Beche de mer - Low value - Subsistence
85
0
0
0
0
No
85
1
Yes
0
Targeting Bivalves - Gift
85
0
0
0
0
No
85
1
Yes
0
Targeting Bivalves - Sale
85
0
0
0
0
No
85
1
Yes
0
Targeting Bivalves - Subsistence
85
0
0
1
0
No
84
1
Yes
1
Targeting Crustaceans - Gift
85
0
0
1
0
No
84
1
Yes
1
Targeting Crustaceans - Sale
85
0
0
1
0
No
83
1
Yes
2
Targeting Crustaceans - Subsistence
85
0
0
1
0
No
83
1
Yes
2
Targeting Gastropods - Gift
85
0
0
1
0
No
84
1
Yes
1
Targeting Gastropods - Sale
85
0
0
1
0
No
77
1
Yes
8
Targeting Gastropods - Subsistence
85
0
0
1
0
No
75
1
Yes
10
Targeting Giant Clams - Gift
85
0
0
1
0
No
83
1
Yes
2
Targeting Giant Clams - Sale
85
0
0
1
0
No
77
1
Yes
8
Targeting Giant Clams - Subsistence
85
0
0
1
0
No
53
1
Yes
32
Targeting Lobster - Gift
85
0
0
0
0
No
85
1
Yes
0
Targeting Lobster - Sale
85
0
0
1
0
No
75
1
Yes
10
Targeting Lobster - Subsistence
85
0
0
1
0
No
60
1
Yes
25
Targeting Octopus - Gift
85
0
0
0
0
No
85
1
Yes
0
Targeting Octopus - Sale
85
0
0
0
0
No
85
1
Yes
0
Targeting Octopus - Subsistence
85
0
0
1
0
No
84
1
Yes
1
Targeting Others - Gift
85
0
0
0
0
No
85
1
Yes
0
Targeting Others - Sale
85
0
0
0
0
No
85
1
Yes
0
Targeting Others - Subsistence
85
0
0
0
0
No
85
1
Yes
0
Targeting Sea urchins - Gift
85
0
0
1
0
No
84
1
Yes
1
Targeting Sea urchins - Sale
85
0
0
0
0
No
85
1
Yes
0
Targeting Sea urchins - Subsistence
85
0
0
1
0
No
81
1
Yes
4
Targeting Trochus - Gift
85
0
0
0
0
No
85
1
Yes
0
Targeting Trochus - Sale
85
0
0
0
0
No
85
1
Yes
0
Targeting Trochus - Subsistence
85
0
0
0
0
No
85
1
Yes
0
Average quantity per trip in Kg Beche de mer - High value
85
0
0
0
0
Average quantity per trip in Kg Beche de mer - Low value
85
0
0
0
0
Average quantity per trip in Kg Bivalves
85
0
0
15
0.176
Average quantity per trip in Kg Crustaceans
85
0
0
7
0.173
Average quantity per trip in Kg Gastropods
85
0
0
4
0.288
Average quantity per trip in Kg Giant clams
85
0
0
150
9.297
Average quantity per trip in Kg Lobster
85
0
0
50
5.703
Average quantity per trip in Kg Octopus
85
0
0
0.275
0.00324
Average quantity per trip in Kg Others
85
0
0
0
0
Average quantity per trip in Kg Sea urchins
85
0
0
10
0.138
Average quantity per trip in Kg Trochus
85
0
0
0
0
Extrapolated quantity per year in Kg Beche de mer - High value
85
0
0
0
0
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
85
0
0
0
0
Variable obtained by calculating the number of species caught per trip in a year
Extrapolated quantity per year in Kg Bivalves
85
0
0
49.973
0.588
Variable obtained by calculating the number of species caught per trip in a year
Extrapolated quantity per year in Kg Crustaceans
85
0
0
304
4.688
Variable obtained by calculating the number of species caught per trip in a year
Extrapolated quantity per year in Kg Gastropods
85
0
0
173.714
5.507
Variable obtained by calculating the number of species caught per trip in a year
Extrapolated quantity per year in Kg Giant clams
85
0
0
3257.143
215.008
Variable obtained by calculating the number of species caught per trip in a year
Extrapolated quantity per year in Kg Lobster
85
0
0
434.286
35.665
Variable obtained by calculating the number of species caught per trip in a year
Extrapolated quantity per year in Kg Octopus
85
0
0
11.943
0.141
Variable obtained by calculating the number of species caught per trip in a year
Extrapolated quantity per year in Kg Others
85
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
85
0
0
299.835
4.096
Variable obtained by calculating the number of species caught per trip in a year
Extrapolated quantity per year in Kg Trochus
85
0
0
0
0
Variable obtained by calculating the number of species caught per trip in a year
Invertebrate Fishery - Survey ID
85
0
1
002E6279-6F04-42A7-80FF-C42ADA4F6C72
2
0032DD24-4863-48A6-8381-314F3A20AC8A
3
05ACF156-5F13-48F1-88B8-18BDFF29097F
4
0A59AEE9-2776-49C6-9C11-7361CC22124D
5
0E57F011-57CB-4D8E-8F03-4F297F926923
6
10493841-FB54-46B6-9DFC-B1FEBBE8DD41
7
16094B3D-A5D7-4CAC-B40E-38AD1AC88868
8
180F24D3-BF8C-49FA-9157-B284578E4DBF
9
1967E694-3B50-4083-A0C4-D1F6D82A63F1
10
1A7BCFF8-554C-451F-98F6-AFF6D20AA4AA
11
1B892AE1-BAB0-44B2-9EB3-E425B0037E60
12
22E8F4D3-CEF1-461D-A2C7-9708D858E5CD
13
26B4CBF2-445E-4BD8-95CB-6136C22871B1
14
27CE5ADF-24AA-4197-9FF9-CF8BED01F4F6
15
28A0C528-72A9-4EE3-A718-1B0D6EFBDFD9
16
28B63399-4483-43C5-A294-14CA43E51611
17
2A404BBA-2F9E-476D-BC0C-1C243F6B423B
18
35D30733-1D62-479E-9E1C-57C96E046083
19
3F0C1E91-C053-4952-AF61-21FEE910E206
20
43DFEA4F-B00F-44DC-9DBF-D935882CC8D1
21
44518630-054F-4E21-BBE7-D28948EA6369
22
459AD8CE-E499-4E2B-86DA-CB68E16EEC3E
23
47686F9D-EFDB-49ED-B69F-9EC322503C6E
24
4DC47A82-9635-45EA-A1C6-13602DFF9B6D
25
502D0433-5FDB-4F21-9AA2-C6DD2927FA04
26
5392DD43-24EB-4D4E-A7AD-417AD9BEEE39
27
5923D198-90EB-421C-8628-94E23A2D9FD2
28
5A5D864A-6072-4ED4-BC3E-AD7D6F48F4F6
29
5AA2F779-27F6-4915-B19B-C3567C32A63A
30
5D1965CE-15B4-490D-A700-2BF6DEB59F64
31
5DF0AEEA-03DC-4861-BB03-CD89A825EDA9
32
5FEE64F5-5E7F-48D3-A626-11A1BCA35965
33
6082094B-E780-4362-8634-CC2C903EA93C
34
60DC9390-A404-43F6-B923-E63C7212E810
35
61E97AC2-F129-49CE-A94F-E7EE69C45B00
36
646EE8C6-7DD2-4100-AD66-7C11717A53B1
37
6D0483D6-1B9C-4F21-8231-63F2E96FAFEE
38
6D476E12-2D29-41D4-84FF-5A29E54D07C5
39
713DD2FE-3458-43DE-A0CE-B01FE56F1371
40
7308CA69-88A9-4150-95D4-B40944ACF83F
41
761BDF0E-9FFD-4E2B-8C80-9A17DE7DFF85
42
765E10A9-DF87-4CE9-B852-21DF4BD1EA1F
43
7C377E12-AB6A-4281-BDC4-5C68BAC3A6FC
44
7C79B381-B1D3-4BF2-9DC5-C0C4E5D915AD
45
7E0E445A-670A-424B-AEBF-F0C2626BA883
46
865D1CC7-1140-4C93-95B1-0BA8AA87746F
47
8ECD5553-65A1-48D8-AD40-96E7897F5264
48
90B36142-F192-4FC0-A84F-44E9BCEED1B3
49
93B45090-E46E-490A-B3D7-36FF6D5C018C
50
946A74ED-6ADA-437B-9EC6-01947ED25A75
51
94E9DA07-7A60-46E2-8B6C-176DCFB1408F
52
98F1361F-173E-492B-9CF7-A1047AFF60D1
53
9A85937F-3AD1-4199-9489-8B8A3296C593
54
9D936CCD-2B7A-4A52-BAB6-FBA141F4ECB9
55
A10EBAF0-201F-469A-9CB1-878E0674AC7B
56
A1D9D8C4-93E3-48BE-9CCB-7032168E2FF1
57
A2D43B46-29BF-447D-81F1-E03DEFCE0F8C
58
A2FFD71A-9E3F-44F8-B4CA-3FD484D00406
59
A55FAB60-B5FE-4107-91C1-AECBAD5716BB
60
A616B5C5-BF5D-4B5E-8AC6-0DAABD4AC81C
61
A6D8CEE6-1D08-4CF3-BC2B-EEA84F884B1F
62
A733FD13-39CA-4BC4-B6F1-A4A990ED0B69
63
ACB05588-BE0A-46A6-B3D0-5FA58DB450FD
64
AEB33BD3-B4D0-4B99-BDFD-7E9AE3344580
65
B8EC9833-F1F3-44F3-B079-F58FA003512C
66
BEB23D80-3592-4CBD-B343-9E35A4142269
67
BF88DC7C-0B06-42F3-8BE7-8A99E6F5FAB3
68
C030CBF9-42A6-447D-B8F9-19AC3B385E75
69
C16B5719-9832-4DD8-BC9D-FCD6A5945225
70
C7BC3E69-23CA-418C-9A27-E9D23EC90954
71
CBFDA71B-6628-4B21-9AD5-D67A56EAF0C3
72
D2D00F4B-A017-40D9-B5BD-1ABC3AD92F04
73
DB62AE52-549D-4F3D-A78D-24A9145E087D
74
DCE3762C-14D8-4F1A-A1EF-F154E2BE6240
75
E2C9A3A2-1D7C-4B77-88D1-93BBBA3F6045
76
EC7FD809-956F-41C7-8A2C-141005CCF913
77
EF643921-B68E-41DA-BC2C-C575F4EC95D5
78
F20AC250-F5EB-47E1-8891-A124AF78A783
79
F48597FD-9460-44A4-A1DC-D452376CDF0D
80
F62FB5DE-6E08-4453-95D3-7901838FFD94
81
F8FC2958-010D-4300-BA65-8BC8186BA800
82
F9D3586B-A224-4D18-AE16-973EDC2B2D4A
83
FB16A4D2-F36C-4029-B58F-A134E30ED0A7
84
FBB69F79-9CAA-46BF-90D2-C55911DF9ECC
85
FD05C254-112C-4422-8BAA-E090E28DB49C
Invertebrate fisher ID
85
0
1
0264E7B8-FFAE-4D24-8D19-CC8174BAFE2E
2
04ABB4B7-C379-48C2-8804-BB3D91F1D879
3
0523101B-E324-4C17-93E1-EB95E6BBDB8A
4
0BB165A8-0C54-4AF1-B4C5-FDFC07C9F9C1
5
0F933910-B7FB-4953-8B32-EA980548D83A
6
16F1A215-567C-466E-B6DB-40E058B26969
7
1E442FD3-4A56-448E-9520-5EF4BA2E2B0E
8
26003F03-5C62-4777-B2C6-BEA361BE3B07
9
2B809850-C9D7-40E6-9862-0F93962DB1FE
10
2CD78E57-0040-4018-B7F0-4E48CCFCEC21
11
2D28C62C-B4F4-4E7D-A7F7-120BA7E0D38F
12
3794B862-7331-4EC7-8574-AE50A1F4FFF7
13
37F1195B-F0B2-437D-A368-F480C8B8A968
14
41D083F0-8C89-4CC1-953D-60300DECC822
15
4221562D-C63A-4CB7-BD37-6E8A14CD9D66
16
4BB469DA-F6B5-4A09-93EC-2A5C0EA6A7D9
17
4E0331BD-9CC7-4357-8C34-5E62BC1EC49E
18
4E0C8F5F-3B45-46FC-8844-5FC1C69D2115
19
4EDBD912-6DA8-4055-A20F-3CEDCF6A9970
20
54659ED0-BB4F-444D-AE91-3980AA13F7D2
21
575FC806-3372-4A3B-BEF8-4137239E3C71
22
5845F020-679F-40C9-96D8-9A25DA52C5C9
23
5D5483BA-21C8-4C4E-B37C-636DDA36199D
24
5EFB503F-78E7-4B03-946A-C979789B9B4C
25
613EC15E-B839-4DA4-8705-FAC897C18B2F
26
63AFC88A-7F12-43AA-B8B8-BB74176F3A26
27
6627109E-8337-447E-8087-9B2663A0119F
28
68450B1F-75C8-439F-A4DE-F29BB997F7D4
29
6A14BC50-35AE-4D76-AF46-1A6CE5539D57
30
6ABA0999-12F5-4C23-ACCB-8271B0827957
31
6C757F0D-851C-4669-BED0-6AA3381A59CB
32
6F4F496D-F6D4-4A47-9578-15205162B520
33
721BCDAF-C963-4FFA-BB25-B099AA3B7AB8
34
7CBF14C0-1D25-433D-8104-F1F3C5C6696B
35
7D14CCB5-5130-4AC9-900A-2AA341B219C9
36
7F324730-ACB1-43F4-8840-F714A3EACC8F
37
813C43AA-AAE2-4D15-A50F-9AF22254BB36
38
8785FA66-3B02-4A63-8868-326A1324E04C
39
8A9A9E2D-032C-49D1-A4CB-68B5F6475547
40
8CB37F07-E527-41C1-B8D6-BB2B68E2181A
41
8DF6C8D4-9C99-4AD5-A5D6-AD4CC3CAD7FF
42
8EBD51D5-247E-444A-96DE-9B26977A54CF
43
93FFFB1F-9F3D-425D-8D26-1E225D60382D
44
9528B217-DD5D-4D1A-87C5-542161BB559F
45
953F2F01-3A85-432E-BA35-7F673E90AD15
46
A14A9FC1-C07B-464B-8506-DC3545D1A9FE
47
AF02E90E-9918-4BB6-B216-E81070867ABA
48
B49CC1DC-C5B6-48C8-8646-0CB289D9F9D5
49
C006131D-1E59-4F1F-AA58-9C1AE85F159F
50
C34946B6-56C1-4046-840B-D45CFA3EA3F8
51
C375687A-7059-40FB-85FF-60BDCE1E007B
52
C5ABEECE-BCB2-46AF-951F-0725ADA9CA32
53
C6303CF1-4909-440B-9082-A6AD9D0C639A
54
D3D5BA26-AE47-43C9-9725-A58906FC68A8
55
D519E6E5-1C0D-4CC9-A92D-F2CDB064706E
56
D836DD4F-3847-49DE-820C-CC06AA39A7A4
57
D8B4F3D0-9ECC-432E-B555-646515F30CC8
58
D9A0D718-E135-45F2-8847-686C1C9AD07B
59
DD07A411-2139-49B3-AF7F-7A5F9AB5E43D
60
E163DA36-0915-4B36-8C9D-A4243A9A32E1
61
E3279003-8D2A-4FD9-B143-AB88E96F0CC1
62
E4FD6DE5-0D82-47E8-8383-8543517AE38B
63
ECD6646B-81A7-4E42-8673-A7C265576339
64
F0818B7A-023F-4206-8B16-6172878728D0
65
F9A67E08-A871-44C7-9C9A-B9133A2B4DE6
66
FA1A7B17-4DAF-4D8C-9D37-2DF388F84A86
Household ID
85
0
1
0F80BDB3-395B-44A2-9809-11A552B4D3B5
2
19662D21-22D8-4C74-8FED-E86F33D4D149
3
1D77415D-17E4-4EB0-B553-76641F20A3BC
4
1E8806A3-36EF-43A4-BB79-3FE37A92E09B
5
21E20976-3960-48C5-BD9E-7407D1D19A02
6
231A35F0-0AA3-4DA6-BEB4-EB0F2501BF91
7
26A71E2A-F0AF-4943-BF00-BA7C8EEDAA75
8
2AB3A938-FF06-44E2-81B5-28F5F9F384B8
9
2C4E7474-24C7-452B-B33E-D0D719282F06
10
310D9530-86FF-4B83-A1D5-BE612FC29870
11
34F8F7DF-12C7-401A-A1E1-69DB8E43914D
12
3692BE6B-AD14-4808-8573-0F5E358CCB65
13
37721753-F3B4-4D37-BA72-9FF094B5D62A
14
3B6480E6-924A-4B3C-82C5-7266C1F71665
15
3D8AE6EB-5AA3-40A5-820B-193385998CE2
16
3F4A15D8-926B-41D8-9B01-23D3B69A34A3
17
3FA8CDDA-5FED-4777-A103-851CC0129093
18
4174DC8E-3EE7-45E0-B59B-2F17E1448F00
19
41D03363-09F6-42B3-A955-4F0F8DACE907
20
4A6E0809-B206-47F2-9D18-C68EE7358103
21
4C6D07A0-417D-401C-A8D3-1747124A87C9
22
4E656091-1167-4020-92E3-BD4595CDC55F
23
4E667D4D-3CE3-4FFE-A198-5BB1C2B11C1A
24
56445F57-137F-496B-9EAA-16D1C3BB5D1F
25
5F0C5DE2-2633-4C4A-8005-13B675BFEEC0
26
64A0B33D-07D7-4AE1-B279-26A0C5D208D5
27
670FF2FA-A69B-40E3-B697-97B10F1A5654
28
6826DF1D-EE5B-42CF-AD57-466E650E0A6D
29
68E1F3CE-D7DC-403B-9542-4E1B5D6D23BF
30
6D295503-B36B-4871-B540-C55C6927EC5B
31
7F2D9A62-7337-40AF-BBB6-D2816F7B66BD
32
827C5F57-A6DA-4CDF-A10F-8D1B9DB8FDA4
33
8954097B-3D7C-436D-97F0-FBB03E1CD23A
34
8B4493F3-570F-49FB-B7FF-65F061159456
35
90C6A6C8-28CA-4DAB-A42B-2B496ECAC7C6
36
933DBF00-6DFD-4F54-AB55-B9F389D8EAF3
37
95D308ED-2932-416D-9EFE-902134010D1A
38
A39EC905-39D4-446D-999E-28CE8747246E
39
A413B18A-4582-46E0-8DF0-77210AA3754D
40
A4D3662E-7D6E-4FA6-8A31-5CA9BB9C79DE
41
A76DB8CB-DC02-4586-92BB-1E15E3709476
42
A7CD927E-D5DD-4CCD-9ED0-9E2F7811A322
43
ACDEF1C0-D061-45DF-8FE8-E27AD2839405
44
BED5150E-228F-416E-A37D-80D0DE2DB86B
45
C201D9D6-AD00-42FA-AAED-8EC5D3DE9965
46
C6B6C8EB-F62B-4D2B-957B-5EB228BDE458
47
C708CD2F-0987-4C5E-AB74-8D93586B20B2
48
CAD311C3-B9B9-46C6-9680-1755697BC99C
49
CBE5398B-B81E-4475-8328-2782F869C892
50
CC298C83-829D-4F11-93DE-093B455865D7
51
D36AD0D0-9D4B-407B-8B24-A98738D526E7
52
D9C5C6F3-681B-4EB4-85AF-FDE1B9BD265E
53
DF381DC9-8D18-4719-A657-4D4CA38DB629
54
E221F0D1-3AF7-4C9D-A8E1-05C21CA8A9F3
55
E34B5206-95D3-48DA-9496-B0B6367C38A0
56
EBECE67C-774B-4E65-AC4C-DF0BC0AC9F85
57
ED159D99-1B9D-49D0-BC4C-6BEDE96655C1
58
EE715D37-1F60-4055-8A3E-EEACE251FDBB
59
F103A356-0D84-4310-A09B-97D762A1E335
60
F2BFFFEA-8528-4DA4-8814-92BF6D08D266
61
FFA40347-206D-40C1-BF1A-EFF70BEEA5E0
Site
5
0
1
5
1
Fakarava
1
2
Maatea
1
3
Mataiea
1
4
Raivavae
1
5
Tikehau
1
Low island
5
0
0
1
0
No
3
1
Yes
2
High island
5
0
0
1
0
No
2
1
Yes
3
Latitude
5
0
-23.867
-15
-17.76
3.559
Longitude
5
0
210.583
214.383
212.177
1.39
Distance to Center of Biodiversity (km)
5
0
9670.398
10060.101
9838.62
Island area (km2)
5
0
15
1068.8
249.5
Isolation index
5
0
99
114
103.4
99
1
100
1
102
2
114
1
Distance to capital (km)
5
0
30.406
730.908
351.145
Market by boat
5
0
0
1
0
No
2
1
Yes
3
Market by road
5
0
0
1
0
No
4
1
Yes
1
Market by air
5
0
0
1
0
No
3
1
Yes
2
Nearest market
5
0
1
4
1
Maatea
1
2
Mataiea
1
3
Papeete
2
4
Raivavae
1
Distance to market
5
0
0
440.542
Fishing ground area (km2)
5
0
12.359
653.676
247.723
Reef area (km2)
5
0
10.852
95.046
54.706
Coastal reef area (km2)
5
0
0
9.426
2.339
Lagoon area (km2)
5
0
8.457
642.749
228.514
Outer reef area (km2)
5
0
2.495
58.811
16.87
Total population
5
0
481
7932.903
Total number of households
5
0
74
1537
442
Household surveyed
5
0
24
31
Average Household size
5
0
4
6.5
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?
5
0
34.554
69.833
54.982
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?
5
0
1.093
10.327
4.162
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?
5
0
2.366
5.09
4.038
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?
5
0
44.881
74.999
59.144
Recoded variable
Pourcentage of Household remittance
How much? (enter amount) Every time?
5
0
0
10.714
4.955
Recoded variable
Average remittance in USD
How much? (enter amount) Every time?
5
0
0
2161.6
841.017
Recoded variable
Percentage 1st income - Fishing
Where does the CASH money in this household come from?
5
0
3.226
37.5
15.45
Recoded variable
Percentage 1st income - Salary
Where does the CASH money in this household come from?
5
0
20.833
90.323
44.784
Recoded variable
Percentage 2nd income - Fishing
Where does the CASH money in this household come from?
5
0
4
22.581
11.292
Recoded variable
Percentage 2nd income - Salary
Where does the CASH money in this household come from?
5
0
0
25
9.314
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.)?
5
0
6295.66
12718.575
9565.796
Recoded variable
Percentage education - Primary
What is the educational level of your household members?
5
0
0.385
0.577
0.477
Recoded variable
Percentage education - Secondary
What is the educational level of your household members?
5
0
0.24
0.36
0.309
Recoded variable
Percentage education - Tertiary
What is the educational level of your household members?
5
0
0.08
0.295
0.214
Recoded variable
Extrapolated number - Fishers
How many fishers live in your household?
5
0
120.25
2131.967
668.895
Recoded variable
Extrapolated number - Finfish fishers
5
0
114.083
2082.386
614.129
Recoded variable
Extrapolated number - Invertebrate fishers
5
0
40.083
991.612
345.582
Recoded variable
Extrapolated number - Boats
Does this household own a boat?
5
0
83.25
1041.193
305.516
Recoded variable
Extrapolated number - Canoes
5
0
0
545.386
122.241
Recoded variable
Extrapolated number - Sailboats
Does this household own a boat?
5
0
0
0
0
Recoded variable
Extrapolated number - Motorboats
5
0
75.536
495.805
183.276
Recoded variable
Extrapolated average nnumber - Boats
Does this household own a boat?
5
0
0.56
1.125
0.76
Recoded variable
Extrapolated annual Finfish - Catch
Where do you normally get your fish and seafood from?
5
0
148.164
1094.011
546.986
Recoded variable
Extrapolated annual Finfish - Subsistence
Where do you normally get your fish and seafood from?
5
0
30.602
383.667
110.894
Recoded variable
Extrapolated annual Finfish - Export
Where do you normally get your fish and seafood from?
5
0
97.456
1056.383
436.092
Recoded variable
Number of people per - Fishing ground area
5
0
1.113
345.566
86.629
Recoded variable
Number of people per - Reef area
5
0
6.284
551.69
133.319
Recoded variable
Number of household per - Fishing ground area
5
0
0.171
66.954
17.636
Recoded variable
Number of household per - Reef area
5
0
0.967
106.89
26.745
Recoded variable
Number of Finfish fishers per - Fishing ground area
5
0
0.264
90.711
23.581
Recoded variable
Number of Finfish fishers per - Reef area
5
0
1.491
144.819
36.025
Recoded variable
Number of boats per - Fishing ground area
5
0
0.13
45.356
11.622
Recoded variable
Number of boats per - Reef area
5
0
1.088
72.409
17.783
Recoded variable
Annual Finfish fisher - Subsistence catch per household
5
0
172.648
413.547
279.911
Recoded variable
Annual Finfish fisher - Export catch per household
5
0
414.705
14275.446
3374.254
Recoded variable
Annual Finfish fisher - Catch per FG area
5
0
0.267
47.656
12.879
Recoded variable
Annual Finfish fisher - Catch per Reef area
5
0
2.279
76.083
21.729
Recoded variable
Finfish fishers - Technique Handline
5
0
23.333
41.026
35.207
Recoded variable
Finfish fishers - Technique Castnet
5
0
0
0
0
Recoded variable
Finfish fishers - Technique Speardive
5
0
25.641
63.333
41.916
Recoded variable
Finfish fishers - Technique Spear walk canoe
5
0
0
6.667
1.958
Recoded variable
Finfish fishers - Technique Deep bottom line
5
0
0
0
0
0
5
Recoded variable
Finfish fishers - Technique Gillnet
5
0
0
19.231
7.15
Recoded variable
Finfish fishers - Technique Other
5
0
0
33.333
13.769
Recoded variable
Finfish fishers - Catch per hour
5
0
1.646
25.957
7.771
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Acanthuridae
5
0
31913.43
241634.481
89891.664
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Albulidae
5
0
0
32969.755
6593.951
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Balistidae
5
0
0
387.83
77.566
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Belonidae
5
0
0
0
0
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Caesionidae
5
0
0
2520.436
504.087
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Carangidae
5
0
17878.316
390520.13
128179.764
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Chanidae
5
0
0
0
0
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Cirrhitidae
5
0
0
0
0
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Exocoetidae
5
0
0
0
0
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Gerreidae
5
0
0
0
0
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Hemiramphidae
5
0
0
0
0
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Holocentridae
5
0
9058.369
170485.482
59241.216
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Kyphosidae
5
0
0
19679.199
7296.72
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Labridae
5
0
0
41054.036
8518.493
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Lethrinidae
5
0
3417.918
96274.754
28320.25
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Lutjanidae
5
0
0
90774.405
32975.779
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Mugilidae
5
0
0
3665.693
733.139
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Mullidae
5
0
0
95158.214
28937.735
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Other
5
0
-2194.255
24301.522
5279.475
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Platycephalidae
5
0
0
0
0
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Priacanthidae
5
0
626.421
152054.084
31806.421
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Scaridae
5
0
19241.572
184182.914
72826.489
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Serranidae
5
0
1276.461
116181.665
37353.655
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Siganidae
5
0
0
15252.479
8449.562
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Sphyraenidae
5
0
0
0
0
Recoded variable