SPC_PLW_2007_SE-PROCFISH_v01_M_v01_A_PUF
DDI_SPC_PLW_2007_SE-PROCFISH_v01_M_v01_A_PUF
Statistics for Development Division
2020-07-15
Nesstar Publisher
PROCFish/C - Socio-Economic survey 2007
SE-PROCFISH 2007
Enquête Socio-Economique du Programme Régional de Développement des Pêches Océaniques et Côtières 2007
SPC_PLW_2007_SE-PROCFISH_v01_M_v01_A_PUF
Coastal Fisheries Programme
Bureau of Marine Resources
Department of Conservation and Law Enforcement of Koror State
Conservation International
Reef Fisheries Observatory
Nesstar Publisher
European Commission
Coastal Fisheries Programme
Socio-Economic/Monitoring Survey [hh/sems]
In late 2003—early 2004, the Pacific Community (SPC) conducted a survey of 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. In 2007, PROCFish/C project conducted fieldwork in Palau in 4 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
Palau
In Palau, the four sites selected for the survey were Ngarchelong, Ngatpang, Airai and Koror.
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
Bureau of Marine Resources
Conservation International
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, Palau PROCFish/C - Socio-Economic survey 2007 (SE-PROCFISH 2007), 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_PLW_2007_SEprocfish_Households_v01_PUF.NSDstat
This file is the "Households" dataset of the 2007 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Palau. It contains information collected using the "Household Census and Consumption Survey" form.
128
56
Nesstar 200801
Coastal Fisheries Programme (SPC).
Version 01: This is the final, clean, labelled and anonymized version of the Master file.
SPC_PLW_2007_SEprocfish_FinfishF_v01_PUF.NSDstat
This file is the "Finfish Fishers" dataset of the 2007 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Palau. It contains information collected using the "Fishing (Finfish) and Marketing Survey" form.
119
118
Nesstar 200801
Coastal Fisheries Programme (SPC).
Version 01: This is the final, clean, labelled and anonymized version of the Master file.
SPC_PLW_2007_SEprocfish_InvertebrateF_v01_PUF.NSDstat
This file is the "Invertebrate Fishers" dataset of the 2007 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Palau. It contains information collected using the "Invertebrate Fishing and Marketing Survey" form.
86
79
Nesstar 200801
Coastal Fisheries Programme (SPC).
Version 01: This is the final, clean, labelled and anonymized version of the Master file.
SPC_PLW_2007_SEprocfish_Sites_v01_PUF.NSDstat
This file is the "Sites" dataset of the 2007 Pacific Regional Oceanic and Coastal Fisheries Development Programme Socio-Economic survey of Palau. It contains information collected throughout all the questionnaire forms concerning the different sites that were surveyed in Palau (Ngarchelong, Ngatpang, Airai and Koror).
4
93
Nesstar 200801
Coastal Fisheries Programme (SPC).
Version 01: This is the final, clean, labelled and anonymized version of the Master file.
Site
128
0
1
4
1
Airai
27
2
Koror
51
3
Ngarchelong
25
4
Ngatpang
25
Household Code
128
0
Date
128
Number of people in the Household
How many people ALWAYS live in your household?
128
0
1
14
4.539
1
6
2
16
3
18
4
30
5
23
6
13
7
13
8
3
9
4
11
1
14
1
1st Income in cash - Fishing
(rank options, 1 = most money, 2 = second important income source, 3 = 3rd important income source, 4 = 4th important income source)
128
0
0
1
0
No
116
1
Yes
12
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)
128
0
0
1
0
No
123
1
Yes
5
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)
128
0
0
1
0
No
42
1
Yes
86
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)
128
0
0
1
0
No
98
1
Yes
30
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)
128
0
0
1
0
No
111
1
Yes
17
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)
128
0
0
1
0
No
124
1
Yes
4
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)
128
0
0
1
0
No
122
1
Yes
6
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)
128
0
0
1
0
No
110
1
Yes
18
Household gets remittance
Do you get remittances?
128
0
0
1
0
No
118
1
Yes
10
Amount (USD) of remittance
How much? (enter amount) Every time?
128
0
0
6000
142.969
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.)?
128
0
0
36000
6216.094
Extrapolated yearly consumption in Kg for an adult male in the HH - Fresh fish
128
0
0
230.302
59.086
Extrapolated yearly consumption in Kg for an adult male in the HH - Canned fish
128
0
0
38.69
5.974
Extrapolated yearly consumption in Kg for an adult male in the HH - Invertebrate
128
0
0
339.853
10.557
Frequency - Consumption of fresh fish
128
0
0
7
4.246
Frequency - Consumption of seafood
128
0
0
6
0.805
Frequency - Consumption of canned fish
128
0
0
7
1.941
Number of Male in the HH - Fishing finfish (exclusively)
128
0
0
4
0.602
0
62
1
59
2
4
3
2
4
1
Number of Female in the HH - Fishing finfish (exclusively)
128
0
0
1
0.0469
0
122
1
6
Number of Male in the HH - Fishing invertebrate (exclusively)
128
0
0
1
0.00781
0
127
1
1
Number of Female in the HH - Fishing invertebrate (exclusively)
128
0
0
2
0.102
0
117
1
9
2
2
Number of Male in the HH - Fishing both finfish and invert.
128
0
0
3
0.18
0
108
1
18
2
1
3
1
Number of Female in the HH - Fishing both finfish and invert.
128
0
0
2
0.18
0
106
1
21
2
1
Number of Male in the HH - Fishers
128
0
0
4
0.789
0
41
1
78
2
5
3
3
4
1
Number of Female in the HH - Fishers
128
0
0
2
0.328
0
91
1
32
2
5
Number of fishers in the HH
How many fishers live in your household?
128
0
0
5
1.117
0
33
1
58
2
30
3
4
4
2
5
1
Number of canoes owned by the HH
128
0
0
1
0.0547
0
121
1
7
Number of sailboats owned by the HH
128
0
0
0
0
0
128
Number of motorboats owned by the HH
128
0
0
3
0.523
0
64
1
62
2
1
3
1
Number of boats owned by the HH
Does this household own a boat?
128
0
0
3
0.578
0
58
1
67
2
2
3
1
Main Source of Fish - Caught
128
0
0
1
0
No
38
1
Yes
90
Main Source of Fish - Given
128
0
0
1
0
No
104
1
Yes
24
Main Source of Fish - Bought
128
0
0
1
0
No
114
1
Yes
14
2nd Source - Fish - Caught
128
0
0
1
0
No
124
1
Yes
4
2nd Source - Fish - Given
128
0
0
1
0
No
79
1
Yes
49
2nd Source - Fish - Bought
128
0
0
1
0
No
103
1
Yes
25
3rd Source - Fish - Caught
128
0
0
0
0
No
128
1
Yes
0
3rd Source - Fish - Given
128
0
0
1
0
No
123
1
Yes
5
3rd Source - Fish - Bought
128
0
0
1
0
No
117
1
Yes
11
Main Source of Invertebrate - Caught
128
0
0
1
0
No
82
1
Yes
46
Main Source of Invertebrate - Given
128
0
0
1
0
No
115
1
Yes
13
Main Source of Invertebrate - Bought
128
0
0
1
0
No
98
1
Yes
30
2nd Source - Invertebrate - Caught
128
0
0
1
0
No
125
1
Yes
3
2nd Source - Invertebrate - Given
128
0
0
1
0
No
119
1
Yes
9
2nd Source - Invertebrate - Bought
128
0
0
1
0
No
123
1
Yes
5
3rd Source - Invertebrate - Caught
128
0
0
0
0
No
128
1
Yes
0
3rd Source - Invertebrate - Given
128
0
0
0
0
No
128
1
Yes
0
3rd Source - Invertebrate - Bought
128
0
0
0
0
No
128
1
Yes
0
Nb people having achieved - Primary
128
0
0
5
0.578
0
84
1
26
2
11
3
4
4
1
5
2
Nb people having achieved - Secondary
128
0
0
6
1.164
0
37
1
47
2
35
3
6
4
2
6
1
Nb people having achieved - Tertiary
128
0
0
3
0.68
0
67
1
39
2
18
3
4
Unique Household ID
128
0
1
00452B29-720B-4FD0-84A7-F969C4BAF2F1
2
006AE587-C784-466C-B18E-01413A395670
3
05CEDA14-1EF0-4B4D-BB09-81709E95B78E
4
06C7BE65-35F0-45D8-AA73-7260035D2BD8
5
06CBA531-F4C5-42B8-AE5A-510E4773A04A
6
0714CC80-9CF0-4391-8C12-2D5BB9DA9411
7
08DCB133-0DA5-4355-B8F9-34D977230124
8
0A03BBBC-9FCA-4925-8757-D565119DEC6E
9
0C79E5D6-E9B2-4197-903B-CDAAD5CF9D9E
10
0DDA30BE-983D-4C7F-A47E-E94BD4858D6E
11
0ECF3CF5-5AFE-451E-92DD-DAADF5364F65
12
1017E74E-7CCC-4804-A68A-1D6AF089B70F
13
118C1864-2AA4-464A-97C4-4A3626E4C8E0
14
15FC7321-BE45-44E9-924C-09F8C698255B
15
1B4CF391-703E-49D1-BE11-9FC020B386AA
16
1BF24432-4C88-4004-8717-379DCB58D9DD
17
1D13B5AA-2B3D-430D-B6A4-0B0833BF2C30
18
222CBA5D-9BC9-41C7-8DFB-217F051E74CB
19
2776117E-4683-4955-9424-A8E7EBC6B421
20
2797B93F-AB20-4633-9804-C1C1D4D43C7D
21
2B7CAAF3-E425-4C78-A532-1A814B1B9627
22
2CB20911-F618-4DC3-B052-2D29A075F163
23
2E5A09AB-4FB9-447C-BE02-E97936ABD21B
24
2EB3FEA0-527F-4E5B-A64B-59D7B22CA0D6
25
31DD425A-6828-475C-B83C-A6701E03BC51
26
3245A8F0-560C-4AA8-8EC4-55422DBFE279
27
3454EB65-2547-4693-9BBB-3927E8C39AAC
28
34B0710F-6C47-46CB-BA7A-104C152D6D23
29
35EF055F-D20C-4B61-83E0-C32B773767E5
30
3604D200-80E6-401E-9C53-085D74BEE42D
31
36710EC3-1417-4B83-B931-CB1ECA8B8306
32
385FD5EF-7E79-4CDB-B934-49C0C35D432D
33
3C330BA5-9BC9-4E09-9AC7-9D3EDDCABB67
34
3C39E844-E846-4712-9707-89164006C43C
35
3D5D82EE-9EA5-4776-8086-5EDC401123C0
36
3FB63512-97E1-448D-B00F-678D1DE84ECF
37
4325EAD6-6183-48B4-9BBF-620A4FF7E529
38
486C591F-AC2B-4925-A251-71E19F4833E6
39
4CC28D73-7218-49D1-8869-75EBEDA3A3B7
40
4D8E6F55-D13E-442D-A803-3E648AFF09F1
41
4DA9D572-595C-46DD-B4EA-510AD6103F7F
42
4DC5239E-1C2F-46F6-8941-8CEAE4C40959
43
4EB1B1C9-617C-42A9-8B20-5F9D9D8DCE30
44
53CBC5E9-C261-465C-9B1E-393898B96A0C
45
554E50AB-F225-4669-AF43-EC33FEF01530
46
55525AD5-7960-4C4F-9E7D-1BB07119AE46
47
55D1F751-0F15-47C7-8EE6-408EEF9811B8
48
56BBA7BB-79E4-4355-8F48-6B63EE550337
49
57CB3F49-3567-4FDC-91BC-DAC2E577C226
50
5908FCC6-360A-48CA-BF9A-A37000AFF30C
51
59A80613-55AD-4AFA-9220-9A9A1003355E
52
5C609FFE-4703-4B8E-8D37-6764105347B4
53
60F6978C-F919-4536-B3FF-DFDF948C3B64
54
63E0B00C-756E-4182-B08C-65317D41700D
55
64E4D723-4B7D-4654-8F12-F7DBB2146C7A
56
65601C11-6C75-40FC-A5AA-B0A5533FC376
57
67ABD745-A457-4FA2-9E4C-73134D65FC4C
58
686EEFBD-1955-4DA0-8D36-D887421EE7F6
59
6ABF72C8-F97A-4B04-A283-21CAECA81368
60
6BD9D4A0-78C2-46B9-A0DE-430A01FCBFFC
61
6DDAFA68-D1F9-4564-A651-993DBC90F5DA
62
6DF9FD48-14DE-487B-BF06-DB2C903B44CB
63
6E09B950-CF6D-4593-A996-DC59884E031F
64
6E8B60B4-9322-49C2-9FB9-354ECE606F22
65
6F6D4BED-8E42-4958-AF18-533B625C6586
66
6FC08A3D-CC03-4994-8E22-77F36F06DEDD
67
77D9EF85-6534-4120-BA89-2414160FAAFF
68
7854E3A5-7B51-437E-A120-309A737C2347
69
7A06CBEF-FE2F-4A2E-AB39-165B83D3177E
70
7CB339B2-3889-4323-BF26-81A0E5FC22A4
71
7CCAA5FE-FD2E-4718-AD7B-32F14D1483FE
72
7D941DF1-E621-4FEC-AF28-173FAA9E61F6
73
7E8D03EE-332E-49C0-BE20-0F11099C5ABE
74
7EDF8FE6-A9A4-49D5-8A53-74DF4C61FCD9
75
82B9BB04-F7C4-4298-9523-3FFED21B1070
76
8A5D77B0-2467-46FE-A07B-E58A8C5DD7D4
77
8C38CE98-AB68-4688-8D7E-661676B20C41
78
8E36918B-72CE-48D7-A8FD-CA13184772AE
79
8EC54A8B-B693-45C7-8DED-3B068ECCA5A5
80
90A47002-12CC-494C-9A41-001FA60A6757
81
9226AB48-F96E-411F-B27C-F160B26740CD
82
96C85FAA-6865-4B68-9028-B4E7EA700BA1
83
9CCB8BBE-92F7-4816-9DE6-4792D424B83D
84
9D0B9F37-22B6-47F2-B61E-70002987499E
85
9D10633B-427E-4BC7-B0D4-595AC7A539A2
86
A0DB43B5-659B-49D0-B1A0-CA70613172B7
87
A38C6BF0-3EF7-4641-B34E-FA9FD03E24C0
88
A3C564D1-624A-4BC8-9822-0EA24DED755B
89
A4E66100-BD20-4A58-95FF-E281B462AA5C
90
A57199CD-3894-46C9-AFB3-7C07625359C5
91
A6D4B3FD-8FF5-4325-9CA0-AF8E380CF92D
92
A7EAD388-FAF1-4450-9D1D-2DF44CD3320A
93
A82A809C-C710-4B31-BDD7-78193055A2F8
94
AF0C9E81-25B8-4FFF-9808-2A74CBE2458B
95
AFD9769E-B3FA-4D9C-923A-7BA68092BD0C
96
B9D46228-F66B-4BCC-8BAD-070BC8C8178D
97
BA23F59A-55C7-4843-BFA0-6EA9E3FB14AB
98
BB8BDB60-42FA-45B0-9B12-36471C00B7C4
99
BD3192F3-0C47-4D12-9696-6D00C349EB17
100
C38B4376-B846-4AF6-9A37-C2BE3F533105
101
C4BE4362-4D64-4BAF-88A3-CA15B38D6339
102
C53CC9CF-6CA1-45D3-9AD5-8F618300832D
103
C6828081-A044-43F8-831C-25688C697563
104
CAC65B61-F36B-4656-8676-50BA1738A34A
105
CB44B871-A14C-41D5-B0E5-C809C9389E2B
106
CD2055AC-1849-4449-A925-79E5E166AD27
107
CEB26039-9383-4C55-869E-3FE86EA8D301
108
D31E57BA-3895-4856-AF7E-A4F17EC4D02F
109
D43F6E48-C372-453C-A1C5-448FE0C118BB
110
D4D4CE2E-89A4-4B34-B01C-BDDCFBFEF37B
111
D8853E96-E8B4-4480-94F1-24143311D610
112
DB624778-1773-4896-9CAD-C9767881FD4E
113
DDA96F15-9255-405A-9637-4336FE07E06A
114
E0D7FD8F-A237-4533-849E-765A3C432D37
115
E22B3BC4-5D4B-4033-A334-EBFE015E71AB
116
E45F6795-FC99-4EFA-BB39-53F8EA813BEB
117
E4B15317-2C23-46C4-AC7F-C24EB90C4D95
118
E71D9006-34D6-400E-8E95-8F76B437A8D7
119
E89B8115-DCB3-43EA-9D2F-A887BED382CA
120
E9E56477-F7FF-4AA9-9D41-A9144DB5C031
121
EAAA8670-1976-4789-8C1A-98CBAFDA2863
122
EC1DEFB1-41AE-4E62-9E61-9432F075DBB7
123
ECBE5FF7-6F23-400E-9EDF-F9166001D740
124
EEFF30D3-25C2-4CEA-95DB-C68F81C0F43E
125
F13471A7-D091-40CE-9C2D-79242D432E88
126
F2462E73-3E8B-480C-9A2A-9FE8328C051D
127
F29D85B0-D82B-4F24-B5D5-F84D6A74099A
128
F4D6E137-DE3F-4CCA-8E24-B59CDF162976
Site
119
0
1
4
1
Airai
29
2
Koror
35
3
Ngarchelong
27
4
Ngatpang
28
Household code
119
0
Gender of fisher
119
0
1
2
1
Male
91
2
Female
28
Habitat - Coastal
119
0
0
1
0
No
105
1
Yes
14
Habitat - Lagoon
119
0
0
1
0
No
41
1
Yes
78
Habitat - Outer reef
119
0
0
1
0
No
86
1
Yes
33
Habitat - Passe
119
0
0
0
0
No
119
1
Yes
0
Habitat - Magrove
119
0
0
0
0
No
119
1
Yes
0
Habitat combination
Which areas do you fish?
119
0
1
5
1
Coastal
13
2
Coastal + Lagoon
1
3
Lagoon
72
4
Lagoon + Outer reef
5
5
Outer reef
28
Average catch per trip (kg)
What is your average catch (kg) per trip?
119
0
0.11
38
14.871
Kept catch (kg)
How much of your usual catch do you keep for family consumption?
119
0
0
19
3.924
Given catch (kg)
and the rest you gift?
119
0
0
23.554
5.123
Sold catch (kg)
and/or sell? How much?
119
0
0
34.56
5.87
Fish for family consumption
Do you use your catch for family consumption?
119
0
0
1
0
No
1
1
Yes
118
Give fish as a gift
Do you give fish as a gift (for no money)?
119
0
0
1
0
No
11
1
Yes
108
Sell fish
Do you sell fish?
119
0
0
1
0
No
79
1
Yes
40
Fishing time - Daytime
119
0
0
1
0
No
26
1
Yes
93
Fishing time - Night
119
0
0
1
0
No
49
1
Yes
70
Fishing time
WHEN do you go fishing?
119
0
1
3
1
Day
49
2
Night
26
3
Day and Night
44
Yearly hours
What time do you spend fishing this habitat per average trip?
119
0
19.989
2084.571
310.799
Recoded variable.
Fishing months
Do you go all year?
119
0
4
12
11.933
4
1
12
118
Recoded variable
Trips per week
How often (days/week) do you fish in each of the habitats visited?
119
0
0.0959
6
1.439
Time spent fishing (in month)
How often (days/week) do you fish in each of the habitats visited?
119
0
0.5
12
5.555
Recoded variable
Boat use - Always
119
0
0
1
0
No
16
1
Yes
103
Boat use - Sometimes
119
0
0
0
0
No
119
1
Yes
0
Boat use - Never
119
0
0
1
0
No
103
1
Yes
16
Boat use
Do you use a boat for fishing?
119
0
1
2
1
Always
103
2
Never
16
3
Sometimes
0
Preservation method - Ice - Always
119
0
0
1
0
No
14
1
Yes
105
Preservation method - Ice - Sometimes
119
0
0
1
0
No
117
1
Yes
2
Preservation method - Ice - Never
119
0
0
1
0
No
107
1
Yes
12
Preservation method - Ice
Do you use ice on your fishing trips?
119
0
1
3
1
Always
105
2
Never
12
3
Sometimes
2
Fishing technique - Handlining
119
0
0
1
0
No
52
1
Yes
67
Fishing technique - Castnetting
119
0
0
1
0
No
101
1
Yes
18
Fishing technique - Speardiving
119
0
0
1
0
No
67
1
Yes
52
Fishing technique - Deep bottom handlining
119
0
0
1
0
No
112
1
Yes
7
Fishing technique - Gillnetting
119
0
0
1
0
No
102
1
Yes
17
Fishing technique - Spear while walking/canoeing
119
0
0
1
0
No
114
1
Yes
5
Fishing technique - Other
119
0
0
1
0
No
111
1
Yes
8
Total catch per year (kg)
What is your average catch (kg) per trip?
119
0
4.78
2475.428
764.806
Recoded variable
Size (cm) - Acanthuridae
119
0
16
2
17.0715782511736
1
17.0834165168182
1
17.2421668333826
1
17.3070603802929
1
18.4687524260539
1
18.8600541527328
1
19.5523844434392
2
24
11
25.0280150753769
1
26.3786863718311
1
26.5
1
26.8855858409947
1
27.879066494055
1
28.1820994042324
1
28.3383940963242
1
29.1152741692876
2
29.3225279981565
2
29.3333333333333
1
30.1842710190365
1
31.0610766213935
2
31.705040155939
1
33.8834876639115
1
34.2748775987206
1
34.7753356837447
1
36.0522089319952
2
40
2
8
2
NULL
73
Size (cm) - Albulidae
119
0
NULL
119
Size (cm) - Balistidae
119
0
16
1
NULL
118
Size (cm) - Belonidae
119
0
NULL
119
Size (cm) - Caesionidae
119
0
NULL
119
Size (cm) - Carangidae
119
0
18.6666666666667
1
26.4238576356033
1
26.6666666666667
2
28
1
32
1
34.7507905435928
3
40
6
NULL
104
Size (cm) - Chanidae
119
0
16
1
NULL
118
Size (cm) - Cirrhitidae
119
0
NULL
119
Size (cm) - Gerreidae
119
0
24
1
26.0859794146768
2
27.7487378962178
1
34.7507905435928
2
NULL
113
Size (cm) - Hemiramphidae
119
0
NULL
119
Size (cm) - Holocentridae
119
0
16
3
24
12
26.4238576356033
1
26.6666666666667
3
32
1
34.7507905435928
2
NULL
97
Size (cm) - Kyphosidae
119
0
16
1
24
1
32.2342778188626
1
36.0522089319952
1
NULL
115
Size (cm) - Labridae
119
0
20
1
26.3786863718311
1
26.4534892436849
1
32
1
40
3
NULL
112
Size (cm) - Lethrinidae
119
0
16
5
17.9172784243509
2
18.2931064221238
1
20
1
21.2674166893511
1
24
10
24.5493006200861
1
24.858702795612
1
25.8172918756269
1
26.0233612309077
1
26.3786863718311
2
26.4238576356033
3
26.4534892436849
1
26.636265156793
1
26.6666666666667
2
26.6942068200534
1
26.8855858409947
1
26.9679130444638
1
27.1284407403164
1
27.1909272588428
1
27.2
1
27.4931049573114
1
27.5
1
27.7764497915553
1
28.4749396345974
2
28.6182887594759
1
28.77629183851
1
28.9650295342621
1
29
1
29.0789427397304
1
29.0987458846756
1
29.1139953619477
1
30.4
2
31.705040155939
1
32
7
32.6959304374327
1
32.8888888888889
1
34.092158927852
1
34.6666666666667
2
34.7132773975914
2
34.7507905435928
2
34.7705584121391
2
35.0596511118555
1
35.1171386749225
1
35.3168862168083
2
35.52086344801
2
36
2
36.3504483960314
2
39.806775053142
1
40
6
43.4384873223379
1
9.84615384615385
1
NULL
28
Size (cm) - Lutjanidae
119
0
16
3
17.834544825199
1
17.9172784243509
2
21.0490258017833
1
21.3333333333333
1
24
8
25.2802172913769
1
25.3970378697761
2
25.445032859057
2
25.4489276465771
2
25.6
1
25.7602529894258
1
26.3786863718311
1
26.4238576356033
3
26.4534892436849
3
26.7260004011513
1
27
1
27.3086282158447
1
27.6670326653857
1
27.7204769601987
1
27.7487378962178
1
27.7552846694393
2
28
3
28.4749396345974
1
28.5557194582272
1
28.5732796558312
1
28.9650295342621
2
31.6130965036599
2
32
6
32.9266746138433
1
34.7507905435928
3
35.4798104126098
1
35.5555555555556
2
36
1
36.7633440351252
1
37.379540238454
1
40
1
43.0395998617766
1
8
1
NULL
50
Size (cm) - Mugilidae
119
0
24
3
26.4238576356033
2
32
2
32.9266746138433
1
34.7507905435928
2
36
1
NULL
108
Size (cm) - Mullidae
119
0
16
3
24
9
25.6
2
27.1909272588428
1
27.6670326653857
5
32
2
9.742611575718721
1
NULL
96
Size (cm) - Other
119
0
24
2
25.4489276465771
1
25.6
2
28.5278543325794
1
29.6301462957207
1
33.2007480130902
1
34.0880876404951
1
34.7132773975914
2
35.4798104126098
1
36.0522089319952
2
40
4
8
1
NULL
100
Size (cm) - Platycephalidae
119
0
NULL
119
Size (cm) - Priacanthidae
119
0
NULL
119
Size (cm) - Scaridae
119
0
16
1
19.6344238796275
1
19.8490329325666
1
20.3138497966923
1
20.3625675780923
1
21.7142857142857
2
24
12
24.4754931869026
1
25.445032859057
1
25.4489276465771
1
25.9272768804439
1
25.9929169414988
1
26.3786863718311
3
26.4534892436849
2
27.1062325004602
2
27.1909272588428
1
27.7204769601987
1
27.7487378962178
1
27.9966149256211
1
28.7643699430357
1
28.9650295342621
1
30
1
30.4
1
30.647326659301
1
31.7008268975549
2
32
9
33.7624751783087
1
33.9926189956704
2
34.7132773975914
1
37.3333333333333
1
38.4
1
9.693730729701951
1
NULL
61
Size (cm) - Serranidae
119
0
16
1
17.9172784243509
2
19.7731371618415
1
21.3333333333333
1
24
4
24.7942486410661
1
25.445032859057
1
26.3786863718311
1
26.4479031560744
1
26.4534892436849
3
26.6666666666667
3
27.1909272588428
1
27.7552846694393
1
28.3512092746566
1
28.9650295342621
1
32
11
32.2342778188626
1
32.9266746138433
1
33.2034413778522
1
33.6788846158209
1
34.0394139188223
1
34.2748775987206
1
34.6666666666667
1
34.7132773975914
4
34.7507905435928
5
34.7753356837447
1
35
1
35.5555555555556
2
35.8540586994453
1
36
2
36.0522089319952
1
36.1157508179208
1
36.1210197290562
2
36.8499900782855
1
36.915480170944
1
37.4398323852933
1
38.4723371479866
1
40
4
43.4384873223379
1
NULL
49
Size (cm) - Siganidae
119
0
16
5
17.0360668556348
2
17.6
1
17.834544825199
1
18.4900288830549
1
19.3165950619848
1
20
1
24
16
24.4754931869026
1
24.9567459456854
2
25.4489276465771
1
25.7602529894258
1
26.149541580456
2
26.227098405563
1
26.2857142857143
1
26.3786863718311
6
26.4238576356033
2
27.2
1
27.6670326653857
1
27.7552846694393
1
28
1
28.5557194582272
1
32
2
34.7132773975914
2
34.7705584121391
1
34.7753356837447
2
40
1
8
2
NULL
59
Size (cm) - Sphyraenidae
119
0
NULL
119
Size (cm) - Average
(write down the species in the table)
119
0
8
43.306
27.39
Weight percentage - Acanthuridae
(write down the species in the table)
119
0
0
0.85
0.096
Weight percentage - Albulidae
(write down the species in the table)
119
0
0
0
0
Weight percentage - Balistidae
(write down the species in the table)
119
0
0
0.0556
0.000467
Weight percentage - Belonidae
(write down the species in the table)
119
0
0
0
0
Weight percentage - Caesionidae
(write down the species in the table)
119
0
0
0
0
Weight percentage - Carangidae
(write down the species in the table)
119
0
0
0.629
0.022
Weight percentage - Chanidae
(write down the species in the table)
119
0
0
1
0.0084
Weight percentage - Cirrhitidae
(write down the species in the table)
119
0
0
0
0
Weight percentage - Exocoetidae
(write down the species in the table)
119
0
0
0
0
Weight percentage - Gerreidae
(write down the species in the table)
119
0
0
0.4
0.0127
Weight percentage - Hemiramphidae
(write down the species in the table)
119
0
0
0
0
Weight percentage - Holocentridae
(write down the species in the table)
119
0
0
0.2
0.0142
Weight percentage - Kyphosidae
(write down the species in the table)
119
0
0
0.211
0.00404
Weight percentage - Labridae
(write down the species in the table)
119
0
0
0.21
0.00636
Weight percentage - Lethrinidae
(write down the species in the table)
119
0
0
1
0.27
Weight percentage - Lutjanidae
(write down the species in the table)
119
0
0
0.579
0.13
Weight percentage - Mugilidae
(write down the species in the table)
119
0
0
0.382
0.0189
Weight percentage - Mullidae
(write down the species in the table)
119
0
0
0.397
0.0224
Weight percentage - Other
(write down the species in the table)
119
0
0
0.267
0.0203
Weight percentage - Platycephalidae
(write down the species in the table)
119
0
0
0
0
Weight percentage - Priacanthidae
(write down the species in the table)
119
0
0
0
0
Weight percentage - Scaridae
(write down the species in the table)
119
0
0
0.741
0.131
Weight percentage - Serranidae
(write down the species in the table)
119
0
0
0.6
0.13
Weight percentage - Siganidae
(write down the species in the table)
119
0
0
1
0.114
Weight percentage - Sphyraenidae
(write down the species in the table)
119
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher - Acanthuridae
(write down the species in the table)
119
0
0
694.857
78.864
Extrapolated yearly weight (kg) caught by the fisher - Albulidae
(write down the species in the table)
119
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher - Balistidae
(write down the species in the table)
119
0
0
65.143
0.547
Extrapolated yearly weight (kg) caught by the fisher - Belonidae
(write down the species in the table)
119
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher - Caesionidae
(write down the species in the table)
119
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher - Carangidae
(write down the species in the table)
119
0
0
955.429
16.696
Extrapolated yearly weight (kg) caught by the fisher - Chanidae
(write down the species in the table)
119
0
0
39.625
0.333
Extrapolated yearly weight (kg) caught by the fisher Cirrhitidae
(write down the species in the table)
119
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher Exocoetidae
(write down the species in the table)
119
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher Gerreidae
(write down the species in the table)
119
0
0
359.802
7.355
Extrapolated yearly weight (kg) caught by the fisher Hemiramphidae
(write down the species in the table)
119
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher Holocentridae
(write down the species in the table)
119
0
0
99.945
7.805
Extrapolated yearly weight (kg) caught by the fisher Kyphosidae
(write down the species in the table)
119
0
0
173.714
3.467
Extrapolated yearly weight (kg) caught by the fisher Labridae
(write down the species in the table)
119
0
0
199.89
4.693
Extrapolated yearly weight (kg) caught by the fisher Lethrinidae
(write down the species in the table)
119
0
0
1795.178
200.488
Extrapolated yearly weight (kg) caught by the fisher Lutjanidae
(write down the species in the table)
119
0
0
1172.571
110.035
Extrapolated yearly weight (kg) caught by the fisher Mugilidae
(write down the species in the table)
119
0
0
325.714
16.101
Extrapolated yearly weight (kg) caught by the fisher Mullidae
(write down the species in the table)
119
0
0
586.286
23.022
Extrapolated yearly weight (kg) caught by the fisher Other
(write down the species in the table)
119
0
0
217.143
15.247
Extrapolated yearly weight (kg) caught by the fisher Platycephalidae
(write down the species in the table)
119
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher Priacanthidae
(write down the species in the table)
119
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher Scaridae
(write down the species in the table)
119
0
0
1149.369
111.562
Extrapolated yearly weight (kg) caught by the fisher Serranidae
(write down the species in the table)
119
0
0
434.286
82.535
Extrapolated yearly weight (kg) caught by the fisher Siganidae
(write down the species in the table)
119
0
0
959.473
86.267
Extrapolated yearly weight (kg) caught by the fisher - Sphyraenidae
(write down the species in the table)
119
0
0
0
0
Extrapolated yearly weight (kg) caught by the fisher - All
(write down the species in the table)
119
0
4.777
2475.428
765.017
Household ID
119
0
1
00452B29-720B-4FD0-84A7-F969C4BAF2F1
2
006AE587-C784-466C-B18E-01413A395670
3
06C7BE65-35F0-45D8-AA73-7260035D2BD8
4
06CBA531-F4C5-42B8-AE5A-510E4773A04A
5
0714CC80-9CF0-4391-8C12-2D5BB9DA9411
6
0A03BBBC-9FCA-4925-8757-D565119DEC6E
7
0C79E5D6-E9B2-4197-903B-CDAAD5CF9D9E
8
1017E74E-7CCC-4804-A68A-1D6AF089B70F
9
15FC7321-BE45-44E9-924C-09F8C698255B
10
1B4CF391-703E-49D1-BE11-9FC020B386AA
11
1BF24432-4C88-4004-8717-379DCB58D9DD
12
1D13B5AA-2B3D-430D-B6A4-0B0833BF2C30
13
2797B93F-AB20-4633-9804-C1C1D4D43C7D
14
2CB20911-F618-4DC3-B052-2D29A075F163
15
2E5A09AB-4FB9-447C-BE02-E97936ABD21B
16
31DD425A-6828-475C-B83C-A6701E03BC51
17
3454EB65-2547-4693-9BBB-3927E8C39AAC
18
34B0710F-6C47-46CB-BA7A-104C152D6D23
19
35EF055F-D20C-4B61-83E0-C32B773767E5
20
3604D200-80E6-401E-9C53-085D74BEE42D
21
3C330BA5-9BC9-4E09-9AC7-9D3EDDCABB67
22
3C39E844-E846-4712-9707-89164006C43C
23
486C591F-AC2B-4925-A251-71E19F4833E6
24
4CC28D73-7218-49D1-8869-75EBEDA3A3B7
25
4D8E6F55-D13E-442D-A803-3E648AFF09F1
26
4DA9D572-595C-46DD-B4EA-510AD6103F7F
27
4DC5239E-1C2F-46F6-8941-8CEAE4C40959
28
53CBC5E9-C261-465C-9B1E-393898B96A0C
29
55525AD5-7960-4C4F-9E7D-1BB07119AE46
30
55D1F751-0F15-47C7-8EE6-408EEF9811B8
31
59A80613-55AD-4AFA-9220-9A9A1003355E
32
5C609FFE-4703-4B8E-8D37-6764105347B4
33
60F6978C-F919-4536-B3FF-DFDF948C3B64
34
63E0B00C-756E-4182-B08C-65317D41700D
35
64E4D723-4B7D-4654-8F12-F7DBB2146C7A
36
65601C11-6C75-40FC-A5AA-B0A5533FC376
37
67ABD745-A457-4FA2-9E4C-73134D65FC4C
38
686EEFBD-1955-4DA0-8D36-D887421EE7F6
39
6BD9D4A0-78C2-46B9-A0DE-430A01FCBFFC
40
6DDAFA68-D1F9-4564-A651-993DBC90F5DA
41
6DF9FD48-14DE-487B-BF06-DB2C903B44CB
42
6E09B950-CF6D-4593-A996-DC59884E031F
43
6E8B60B4-9322-49C2-9FB9-354ECE606F22
44
6FC08A3D-CC03-4994-8E22-77F36F06DEDD
45
7854E3A5-7B51-437E-A120-309A737C2347
46
7A06CBEF-FE2F-4A2E-AB39-165B83D3177E
47
7CB339B2-3889-4323-BF26-81A0E5FC22A4
48
7CCAA5FE-FD2E-4718-AD7B-32F14D1483FE
49
7D941DF1-E621-4FEC-AF28-173FAA9E61F6
50
7E8D03EE-332E-49C0-BE20-0F11099C5ABE
51
7EDF8FE6-A9A4-49D5-8A53-74DF4C61FCD9
52
8A5D77B0-2467-46FE-A07B-E58A8C5DD7D4
53
8C38CE98-AB68-4688-8D7E-661676B20C41
54
8EC54A8B-B693-45C7-8DED-3B068ECCA5A5
55
9226AB48-F96E-411F-B27C-F160B26740CD
56
96C85FAA-6865-4B68-9028-B4E7EA700BA1
57
9CCB8BBE-92F7-4816-9DE6-4792D424B83D
58
9D10633B-427E-4BC7-B0D4-595AC7A539A2
59
A0DB43B5-659B-49D0-B1A0-CA70613172B7
60
A3C564D1-624A-4BC8-9822-0EA24DED755B
61
A4E66100-BD20-4A58-95FF-E281B462AA5C
62
A57199CD-3894-46C9-AFB3-7C07625359C5
63
A6D4B3FD-8FF5-4325-9CA0-AF8E380CF92D
64
A82A809C-C710-4B31-BDD7-78193055A2F8
65
AF0C9E81-25B8-4FFF-9808-2A74CBE2458B
66
AFD9769E-B3FA-4D9C-923A-7BA68092BD0C
67
B9D46228-F66B-4BCC-8BAD-070BC8C8178D
68
BA23F59A-55C7-4843-BFA0-6EA9E3FB14AB
69
BB8BDB60-42FA-45B0-9B12-36471C00B7C4
70
BD3192F3-0C47-4D12-9696-6D00C349EB17
71
C38B4376-B846-4AF6-9A37-C2BE3F533105
72
C53CC9CF-6CA1-45D3-9AD5-8F618300832D
73
CAC65B61-F36B-4656-8676-50BA1738A34A
74
CB44B871-A14C-41D5-B0E5-C809C9389E2B
75
CEB26039-9383-4C55-869E-3FE86EA8D301
76
D31E57BA-3895-4856-AF7E-A4F17EC4D02F
77
D43F6E48-C372-453C-A1C5-448FE0C118BB
78
D4D4CE2E-89A4-4B34-B01C-BDDCFBFEF37B
79
D8853E96-E8B4-4480-94F1-24143311D610
80
DDA96F15-9255-405A-9637-4336FE07E06A
81
E0D7FD8F-A237-4533-849E-765A3C432D37
82
E22B3BC4-5D4B-4033-A334-EBFE015E71AB
83
E45F6795-FC99-4EFA-BB39-53F8EA813BEB
84
E4B15317-2C23-46C4-AC7F-C24EB90C4D95
85
E71D9006-34D6-400E-8E95-8F76B437A8D7
86
E89B8115-DCB3-43EA-9D2F-A887BED382CA
87
EEFF30D3-25C2-4CEA-95DB-C68F81C0F43E
88
F13471A7-D091-40CE-9C2D-79242D432E88
89
F2462E73-3E8B-480C-9A2A-9FE8328C051D
90
F4D6E137-DE3F-4CCA-8E24-B59CDF162976
Fisher ID
119
0
1
0258EFB4-B475-4CFE-BE37-89E680C296F4
2
02B44BCF-1AE6-439C-87D6-7676478A8437
3
02E25154-1A75-461A-9C9A-B79C5480C4EC
4
034F884F-E4B8-4D0F-93A7-B0D83E459C5A
5
073BD767-2B9A-4C6E-96E2-567984053BA6
6
08D07FCA-6F31-4213-AD73-6A1E02456FFA
7
09F4630D-B065-44BF-8FC2-F1F91BE13F97
8
0B99DA13-D342-4158-853A-14D0EBEF2485
9
0C355FEB-4E53-42B6-919F-CC6BC7B0C441
10
0FA155A4-863E-4BBB-BFDF-72F3E2E363FC
11
12BF5933-5F64-40D8-9945-9073E8D4BD70
12
14BE0899-AB97-437D-B936-481F2FB2D538
13
1CFC50DF-FD9F-4F75-BEAE-845C3DDFD5B8
14
1FD9C22C-7E14-46DC-A1E6-EDC6B63CA3A5
15
2037D760-8704-43A6-83A7-57D28B27FED9
16
2389A837-8233-40FD-AD64-1400E1B0EE60
17
252C61DD-7C32-471F-9AA5-639ED96B860F
18
26DBC2A9-4B5E-4C29-ACD0-5AD5DA2C28B2
19
2829CD0A-92FF-43BC-AA7F-6D28D6143849
20
28D0B1E0-263E-419E-9623-061243481C11
21
299E390C-F8D6-4805-BCC2-2C5A267DD2F0
22
2F729E78-6D60-43E6-85ED-AB11D955C4C0
23
2FCCDB88-6C8B-4ACD-911A-2CB5853733B2
24
2FD33C46-CDFF-4223-B7DC-A87D0233ABA4
25
3531A334-E338-4B57-8F81-7A6DCB10BDDA
26
39569788-F324-4FB2-A190-9236BC1DCEC6
27
39E6DC16-B6AF-4EF2-98B1-56D1EB6BEC12
28
3A5E593D-5101-48C2-9A50-DB14F8AE9C18
29
4165F76C-8562-4F44-B893-CF38BDEFFE07
30
4262B209-4694-4185-B1DD-DADB869B5957
31
42A8A23C-5835-4E30-A2C7-D958E39686B1
32
42BA2F45-2FEF-45FD-A0FA-C56A5A3C9540
33
4507E021-B983-4270-9104-340FD010AC45
34
45F39B9F-91FD-48C1-AB66-0B4193BC6850
35
460C7429-1A6D-42D1-910B-3CF704E932E1
36
49DCDAD5-EC23-4B5E-B05D-0851CF1342EC
37
4E0076F2-9068-4575-B850-CCF5650CFB0F
38
512BC84B-1173-4BD3-A088-B00F9E522111
39
5885174F-D842-405E-ABFA-32853218CC72
40
5D7D3007-A327-4CF6-BF5F-13C6EEBA5DD8
41
609721C1-C8BC-412B-BAF3-4AA801429C9A
42
61B5A4C2-0C98-47CD-8D76-83EBFB77EFB6
43
62F2B9EF-BEB4-414C-8C07-FE28CA74FF5D
44
639A6670-6FBA-49D4-A082-7C46FEF263C3
45
656727A7-B7CF-444B-9837-1D7B3BA90042
46
66E62511-9816-4F49-BDA9-D234D2F897FD
47
680CE1B9-A3EF-4D1C-A10E-C0D88F34371A
48
6B29CDDC-B8CA-41CE-BE64-ABA54061147F
49
70D0A793-9296-4C2B-9D48-706F1E403D91
50
75715B60-7272-4466-90C1-FA8D4FF45AF5
51
78679C55-6EF5-4344-8F1C-68BE083813C7
52
78E6818F-3817-4105-9203-016CB74E89F8
53
7D869A63-5E1D-4352-B558-C9471B5366C3
54
8231BA43-42B5-4870-BB31-37247650CD17
55
87B24FF6-B8C8-4264-872D-91857F31639F
56
8B8F65E9-DE5C-48D8-B10F-C963413E61AB
57
8BC32AC0-FD27-4EB7-9EBE-3D4307A17C11
58
8BEC55B0-9C96-4D37-9DBF-028D179D49E8
59
8BEEFF0E-8E0F-4C22-95D8-B34C76C79E21
60
8DC4FADA-8A54-43EE-AB2F-418D22BABE03
61
90B8CF8D-6D71-4793-9B34-1E41BFDB195C
62
922014C6-9F69-4433-B5BD-85BC3224296D
63
9A214F6E-EFAA-4DC3-AB7A-E48CA5C0C0BC
64
9BBF3F3C-ADF9-43C4-8387-06155A1BE561
65
9CEAF58D-1F55-425D-A312-28977E54E121
66
9E26AF33-8375-439C-A1F7-FAAB3738231D
67
9ECB25CB-8589-4689-9C26-354E2C93F279
68
A2C18617-9168-460D-B8D9-4F4DCE5634D2
69
A7270D5D-ED90-490F-84CE-E65B39D44C32
70
A8327A2F-FC6C-4EC1-B0D3-7ACC951743CB
71
A914997C-2492-4053-B79B-6E7D42D26131
72
A919706E-C39E-4500-B90B-C2B57BA585BC
73
A9F9E7E6-56BE-42CE-B153-938FB6AA96FC
74
AA38AEB8-F315-4412-AE49-8687748580FB
75
B1E37811-934B-4221-BE7B-00DF9C35BE48
76
B67B4790-CA2E-4B13-924A-A7F01E6B19F8
77
B98083D3-18BC-496E-8F32-84FCF60A389C
78
BF30CCE0-68F0-4671-AA39-A0DEB7C9139D
79
C129D7A5-4233-4408-A3E8-79A5A25B0B08
80
C35482B8-53AB-46C7-A6C4-3490008680C3
81
C542FD9B-DE26-4321-A2B5-AB3544A4C1D1
82
C69046C9-8B6D-4F17-8302-5D9A81B9937A
83
C7F94233-E777-40D0-93A4-4554BF9519B9
84
C8CCCC3B-4F96-4819-AF6F-0EA89B98E864
85
C9064C02-F4CE-4606-BF1A-6722F4BC5E33
86
C97BAB60-1311-46ED-8BD2-CC935599CBA1
87
C9A1DDE9-4D10-4088-81C2-8809C93ECA23
88
D283AAA4-DFC5-4F76-8131-F54E96F7AC28
89
D655FCF4-3FD9-4173-BC78-50DC7E69A548
90
DC3C65A2-C309-48CB-AB26-87DD7AB77E7E
91
DE4F1B0A-13E1-4B68-A5D3-F7ABBA3FB222
92
E3A919E0-B57D-44D9-8501-DCB593035969
93
E847EC9E-55D9-4C39-9CEA-3CA21FFE587F
94
E8A6E693-99E6-4C74-A3EC-5A14D1F5209D
95
ECE0A775-A23E-422E-B836-3A345DB44832
96
EDE111AD-F774-4DEF-81F7-ECBF772CF41B
97
F2A19632-05E8-418A-9852-A6F7ED9E48B2
98
F3C8881E-8669-40CA-85FC-53FB81EFA43B
99
F5DDC6C0-3555-4D3E-9448-3B3B75520389
100
F944E3AF-1E21-416C-9AD7-A432234A6D3F
101
FB5E897A-D36F-469C-ADAF-01E560F5342F
Fishery Survey ID
119
0
1
01930EC9-B109-494D-88FE-C5A024FA9DE1
2
02965BCD-EDCD-41C0-A4F3-53A90382A8F3
3
039F9698-7BC0-4BF1-AA0F-28538C9D8441
4
03ECE6BC-47D2-4249-8F9E-04645100D2CC
5
0A8844C2-2BB9-41A3-8E1C-7511DCB91E31
6
0D9849F1-B2ED-4F46-B944-A0FB80697802
7
0E04ADD9-7945-451C-B3B4-ABC8C1406A6D
8
0EEAFAC0-379A-417E-888B-A4684E316E61
9
14F4B0D1-E082-4A23-9594-662983C0C236
10
16EF9D0E-20B9-4ECF-93FB-DA5D2F0CC7F0
11
198AE07C-A24C-4236-8EEA-203A47519188
12
1A6449FD-B804-4CCE-A4F1-758FB1A401D5
13
1CF6716F-DF84-4CED-A6E0-B4F9288E9982
14
1F1E3EB0-02BC-4D46-892A-20F2A7480CD7
15
1FE089A3-97C6-43FA-93A3-5859992A907D
16
22877888-C4FE-4174-B447-FB0E740003C6
17
23895AC9-3E16-47A9-8EDB-78090B7DC9BE
18
240724E9-5323-4B9A-A579-52C07DDEF967
19
280F9DF1-E0B9-4CC9-A30E-7D6F3EBB888C
20
2C709EE1-4AA2-4BE1-BB85-527EAE265D7B
21
2DF5184A-D0C8-4C57-A616-33D26750E5D0
22
2F3BD5B3-CAB2-4517-98D1-06E114C4E03D
23
3093CDD4-BEEA-4BC7-A69C-1710BF956F0B
24
30C33EF3-9987-4260-B6CB-82F5C087F3AE
25
32530E33-AC24-4ACF-9C52-4BECE47F28BF
26
332A1091-F311-4C80-9F28-5166F3B56B60
27
34F75EF4-0208-4CA6-A00A-CE1EC1F2324F
28
353A16A0-4B2B-43AE-B905-87D644281171
29
35C617A3-EFB4-46CE-A68E-D3E27F95400B
30
35F6BFDD-96EF-432B-9568-5099B495DA5A
31
3807327F-3A7E-4799-9D23-75B0A3A722CC
32
44BFE211-F7C0-4632-A6EB-6167B8DBC7EC
33
48E7E70A-77C8-4740-A6B2-D8E9EC513662
34
49C3319A-37A0-43B6-94DD-533A0877B41E
35
4CA9052F-C1B8-4585-AD2E-79D42CD8F2EB
36
4F6B8FDF-F83C-4F99-8166-850CB62CF7CA
37
514FDF89-D2D2-417F-BBBC-5B245BB6F625
38
527C9103-55A1-4BF9-B709-83CB6D0F5287
39
53B2800C-DF0D-479F-9447-699DB63A5291
40
5492B9EC-D831-4A7B-9C8E-A950C19197EC
41
56D6C4CC-97B1-48C0-A288-7A4CB568E9A9
42
584E5CCA-A876-4A9D-A1A7-C60C75D39786
43
5892F1BF-7A79-460D-8C01-F1DB4165B067
44
5950C297-AE89-4686-8F78-9734CBDDBC77
45
5A058AF8-1AD8-4BA2-8F67-C30A279166FA
46
5F63C300-3ED2-4C1D-BD21-0BA949FA2010
47
5FAD045B-AEF9-4C9C-B50F-04A93E0F4C9D
48
60B0492A-9A8D-409F-B1BA-2588DE4D8E4E
49
63CE09ED-6A95-4FFD-A17D-6DDF4ED35AA9
50
63DF0BDC-889A-4C0B-B9AF-6A4DB09C1CC8
51
6431D2B3-0395-49F7-9B79-C1FD2F37020A
52
64E3BD52-AB31-49F7-B007-EF890D1DC31A
53
69FA6C11-9C0E-4BB7-9249-5DD323037F0F
54
6A02DF53-50F1-4ACC-9E86-C311C162053B
55
6A1A4282-4D0D-45E7-9083-C8971C087473
56
6B145D9B-B673-40B6-8FFA-FAA676EBA24E
57
6DE99353-0775-4456-ADD4-06B8ADFBDFE7
58
6F37FE33-B60C-4EE3-B3E3-3562D5C97558
59
71AFB491-00AE-42E3-AE74-FECD32DA9AD7
60
71FD322D-CA43-4893-B6A5-D6796E6D1954
61
7483E2F8-62AB-4E35-BDFA-17EA898BDDE6
62
74AEB429-BC69-43CC-B4D4-A84EADC46BB7
63
7E5C39BC-546C-4541-A41D-68839DCED7D5
64
7E876044-1839-4735-BDAC-04E361CF9045
65
81A39734-8706-4E4D-85FD-782D45962CB9
66
81AE2C2D-901C-45C6-9FE2-E26D8D434543
67
81CECCDA-710C-42FC-B18A-5AE4A5F04BB2
68
8221CD07-88FA-47F9-9F19-6426C58D6BD2
69
83E83700-D732-4622-B289-3140639C848F
70
87F63B78-E0F9-4784-844A-1C6D5533F27C
71
88803952-EFB8-452B-9D8D-6193CEE715A5
72
899A8662-7361-4D81-8AFA-3FED6787A6FF
73
8B204972-AB25-49A1-99A3-8EFCC8F28CC3
74
8B29B7D6-3D2D-4F07-8832-5CC179FD80E2
75
8D29AA5C-1C4D-458B-B0D2-B0DC052DA224
76
8D54A12F-0EED-4D00-BF8F-4607488F1004
77
8DC51484-0D16-4702-A844-AA4C1A8E2BEB
78
91407B4A-8DA7-4133-8844-6F25D614DE4D
79
93421416-0EB4-4A1E-82E2-6C8179EECB7A
80
9774D27F-B2EC-431C-8856-1DB0FC6303D7
81
9A25284E-C27D-40C1-B243-F1D2F941746B
82
9A5DF965-BA9F-4D31-B527-91106849AD71
83
9AB12D23-C966-48C1-A79D-B8C65E0E32F8
84
9C834089-B50F-464F-B603-9921DCF0F987
85
9E640608-ACB7-4B0B-92D5-C26B6B21781F
86
A0F8A5BC-7709-4D1C-B9A6-3FF90A3147BE
87
A3595A39-5D8E-41B9-9071-B096A8F061DD
88
A4C1BEA5-D43D-4C97-96D1-72557C1FCB75
89
A65FC7A4-3389-4C09-AE15-C4A666DBC4B3
90
AC9839B3-A40D-4B8B-A139-F5C6B3A8E06E
91
B3BDECD6-3C5B-456C-A743-D2FBAFD0CBFE
92
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93
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94
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95
BCFC13E7-6E75-4566-A38C-2218F6E8BB81
96
BD02C297-26DE-4255-8481-7A042C69730D
97
BD549FCF-4398-4AE2-82E4-00536139FAD5
98
BEA54D9E-CA9D-487D-AC2D-92B4E080FB36
99
BF767A4C-9061-4AFE-94BD-5A2DCE5A0EF0
100
BF805CE3-712C-4BEB-B367-916BD599262B
101
C286B4CF-FC93-40B4-88D6-848868901ED2
102
C66E46A8-AEA7-4A22-A922-43CD2B2133B2
103
C84C7449-902F-4EAD-A48F-56F530DD6AE0
104
C8EE4519-3E69-4ADF-AA99-A1A492020CFE
105
CC20A6F0-4441-4B79-8C31-888F1299033E
106
CD78C6E9-A314-45BF-9A61-090084AFB6AF
107
D15F8920-8CDD-433F-B0BD-7E517780D888
108
DA29E6FE-EEA8-4B48-87D6-7888FAEF89CD
109
DBD71B5A-296D-4811-B6AC-892A134A7398
110
DEE7F1AE-9300-4FC3-B00E-9C5885B968A0
111
E4BBA761-A0CE-4DF3-82BD-21A320129F3E
112
E535B8CD-2973-4600-B9BD-40B026A7BBD2
113
E9BE2B06-9187-4B1A-B28C-63766E49B5FF
114
EB4E35E0-AC92-4B8D-8381-B187A6BBDCC3
115
EBD95288-6529-4F8D-959E-128476D82F1A
116
EFC2E589-A011-46B7-8A4C-A3AB57EF6575
117
F2DD758D-50D3-4409-9581-E0DFC452B142
118
FB9803A9-8EAE-4A3C-A688-97347A998ABA
119
FDA646B2-0E6F-4E23-8977-5184A685C4DA
Site
86
0
1
4
1
Airai
20
2
Koror
21
3
Ngarchelong
23
4
Ngatpang
22
Household Code
86
0
Gender of fisher
Gender
86
0
1
2
1
Male
40
2
Female
46
Habitat Gleaning - Seagrass
86
0
0
1
0
No
40
1
Yes
46
Habitat Gleaning - Mangrove
86
0
0
1
0
No
75
1
Yes
11
Habitat Gleaning - Sand
86
0
0
0
0
No
86
1
Yes
0
Habitat Gleaning - ReefTop
86
0
0
1
0
No
58
1
Yes
28
Habitat Diving - Beche de mer
86
0
0
0
0
No
86
1
Yes
0
Habitat Diving - Trochus
86
0
0
0
0
No
86
1
Yes
0
Habitat Diving - Lobster
86
0
0
1
0
No
85
1
Yes
1
Habitat Diving - Other
86
0
0
0
0
No
86
1
Yes
0
Habitat combination
Which type of fisheries do you do?
86
0
1
4
1
Seagrass
46
2
Lobster
1
3
Mangrove
11
4
Reef top
28
Fishing time - Daytime
86
0
1
1
0
No
0
1
Yes
86
Fishing time - Night
86
0
0
1
0
No
84
1
Yes
2
Yearly hours
86
0
3.619
868.571
96.533
Fishing time
Glean/dive at
86
0
1
2
1.023
1
Day
84
2
Day and Night
2
Fishing months
86
0
1
12
11.756
1
1
6
1
8
1
12
83
Trips per week
86
0
0.0671
5
0.813
Time spent fishing
86
0
0.5
8
2.826
Going fishing by foot
86
0
0
1
0
No
39
1
Yes
47
Going fishing by boat
86
0
0
1
0
No
47
1
Yes
39
Targeting Beche de mer - High value - Gift
86
0
0
1
0
No
80
1
Yes
6
Targeting Beche de mer - High value - Sale
86
0
0
1
0
No
79
1
Yes
7
Targeting Beche de mer - High value - Subsistence
86
0
0
1
0
No
66
1
Yes
20
Targeting Beche de mer - Low value - Gift
86
0
0
0
0
No
86
1
Yes
0
Targeting Beche de mer - Low value - Sale
86
0
0
0
0
No
86
1
Yes
0
Targeting Beche de mer - Low value - Subsistence
86
0
0
0
0
No
86
1
Yes
0
Targeting Bivalves - Gift
86
0
0
0
0
No
86
1
Yes
0
Targeting Bivalves - Sale
86
0
0
0
0
No
86
1
Yes
0
Targeting Bivalves - Subsistence
86
0
0
0
0
No
86
1
Yes
0
Targeting Crustaceans - Gift
86
0
0
1
0
No
85
1
Yes
1
Targeting Crustaceans - Sale
86
0
0
1
0
No
83
1
Yes
3
Targeting Crustaceans - Subsistence
86
0
0
1
0
No
78
1
Yes
8
Targeting Gastropods - Gift
86
0
0
0
0
No
86
1
Yes
0
Targeting Gastropods - Sale
86
0
0
0
0
No
86
1
Yes
0
Targeting Gastropods - Subsistence
86
0
0
1
0
No
85
1
Yes
1
Targeting Giant Clams - Gift
86
0
0
1
0
No
81
1
Yes
5
Targeting Giant Clams - Sale
86
0
0
1
0
No
84
1
Yes
2
Targeting Giant Clams - Subsistence
86
0
0
1
0
No
54
1
Yes
32
Targeting Lobster - Gift
86
0
0
0
0
No
86
1
Yes
0
Targeting Lobster - Sale
86
0
0
0
0
No
86
1
Yes
0
Targeting Lobster - Subsistence
86
0
0
1
0
No
83
1
Yes
3
Targeting Octopus - Gift
86
0
0
0
0
No
86
1
Yes
0
Targeting Octopus - Sale
86
0
0
0
0
No
86
1
Yes
0
Targeting Octopus - Subsistence
86
0
0
0
0
No
86
1
Yes
0
Targeting Others - Gift
86
0
0
0
0
No
86
1
Yes
0
Targeting Others - Sale
86
0
0
0
0
No
86
1
Yes
0
Targeting Others - Subsistence
86
0
0
0
0
No
86
1
Yes
0
Targeting Sea urchins - Gift
86
0
0
0
0
No
86
1
Yes
0
Targeting Sea urchins - Sale
86
0
0
0
0
No
86
1
Yes
0
Targeting Sea urchins - Subsistence
86
0
0
0
0
No
86
1
Yes
0
Targeting Trochus - Gift
86
0
0
0
0
No
86
1
Yes
0
Targeting Trochus - Sale
86
0
0
0
0
No
86
1
Yes
0
Targeting Trochus - Subsistence
86
0
0
0
0
No
86
1
Yes
0
Average quantity per trip in Kg Beche de mer - High value
86
0
0
111.43
4.236
Average quantity per trip in Kg Beche de mer - Low value
86
0
0
0
0
Average quantity per trip in Kg Bivalves
86
0
0
0
0
Average quantity per trip in Kg Crustaceans
86
0
0
8.75
0.254
Average quantity per trip in Kg Gastropods
86
0
0
0.02
0.000233
Average quantity per trip in Kg Giant clams
86
0
0
40
3.677
Average quantity per trip in Kg Lobster
86
0
0
8
0.116
Average quantity per trip in Kg Octopus
86
0
0
0
0
Average quantity per trip in Kg Others
86
0
0
0
0
Average quantity per trip in Kg Sea urchins
86
0
0
0
0
Average quantity per trip in Kg Trochus
86
0
0
0
0
Extrapolated quantity per year in Kg Beche de mer - High value
86
0
0
1169.498
105.947
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
86
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
86
0
0
0
0
Variable obtained by calculating the number of species caught per trip in a year
Extrapolated quantity per year in Kg Crustaceans
86
0
0
174.904
8.089
Variable obtained by calculating the number of species caught per trip in a year
Extrapolated quantity per year in Kg Gastropods
86
0
0
0.2
0.00232
Variable obtained by calculating the number of species caught per trip in a year
Extrapolated quantity per year in Kg Giant clams
86
0
0
868.571
110.041
Variable obtained by calculating the number of species caught per trip in a year
Extrapolated quantity per year in Kg Lobster
86
0
0
159.912
3.879
Variable obtained by calculating the number of species caught per trip in a year
Extrapolated quantity per year in Kg Octopus
86
0
0
0
0
Variable obtained by calculating the number of species caught per trip in a year
Extrapolated quantity per year in Kg Others
86
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
86
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
86
0
0
0
0
Variable obtained by calculating the number of species caught per trip in a year
Invertebrate Fishery - Survey ID
86
0
1
01E4EB2E-FD97-4B2D-A59B-229D8ADCD9FC
2
03B204C4-B2A9-4A8D-88B8-A5CDBB7733F1
3
04BC6B65-B155-421D-82C8-32E62CD81411
4
065F13A4-A7C6-49FC-9172-383923AF0076
5
12C2905C-F28F-444D-9989-EFD2EB436EC6
6
19742025-481C-4DE2-81DB-5DBE276F192C
7
19B71586-695C-4B30-BCD0-D4C1450B32D6
8
1A3C41CD-9FFC-4EF4-B6B1-B90A6140FB0A
9
21153092-D20A-40CE-9EE4-D397F2C03F96
10
25BCF0F1-9C9F-4A11-AE40-17D08D0E91DC
11
29540D72-F019-436C-A564-13B359C8FA75
12
2F57A58D-3947-44C3-811D-5D030886E68C
13
31B556B5-30A6-4C4C-B60C-A663B62EA10B
14
327FD69C-4BF9-4070-B9D2-CA2202029E2A
15
385F5FE0-FF75-455B-8E10-9C0662D2CFA4
16
3B8C8541-A40E-4499-8EC5-5C3F741F3AF1
17
3C4D4909-582C-48D0-94EB-E78E437364B5
18
3D521061-450C-45CF-825C-80436381F5EB
19
424DB2B3-7E38-4279-A3A4-2963186EDCC7
20
441FE533-AF58-40C8-B5E0-2E8B951B3352
21
4434E7AD-8087-4F7A-8164-DB3FB85038CB
22
44AB0C0B-E165-4BE6-AC7E-72AE3E762B4B
23
499392C0-C300-4356-B6B3-64F7F1D152B3
24
4A7A7465-1D4D-46C0-A034-D49AF60147EA
25
4C6DE952-B31A-4F61-9E59-3E1AEFBBF165
26
4E3EB7F7-3DE1-44F2-9A66-1C2E03DF763B
27
519E205B-FBA1-4343-A274-2DFD6A92738C
28
52550AA1-EBF4-434F-AE24-DC14258242A3
29
55D2C066-6A3C-4DE7-A03D-BA4DBFD7B2C9
30
56B5A7A1-3C0E-46B9-B575-454810AA4B41
31
58275C1E-5055-41C8-A02B-9FEAE04AFC3C
32
5C930724-8920-4D8A-AFEE-33BAA1A686C2
33
5D9E37A4-977E-4B7F-A6BD-85F920C1C35D
34
5E7680E3-2EFD-41EA-B5DC-0A823C166D29
35
63065226-713D-4C34-8AE7-C8211F2DB8FE
36
69666A2A-954B-4B30-BA7B-AEB5FA086B07
37
6B7ABE21-C5BC-43F7-89E1-42C95FDDD946
38
6FB84268-7603-43C5-82BF-BA30F3F39FDB
39
704185C6-A0A2-4BED-84B9-4755B7098118
40
713883FB-7750-4FD4-8987-44D5DFE57F0D
41
729D6C83-936D-414C-815F-E5B78B67990F
42
74B5A212-3A0F-41C9-9221-58FAE710E02A
43
77D1C878-F0E4-4C81-80EC-33E4213530F4
44
77D2B4A2-C4F1-4CF0-A815-599743D81746
45
78610E89-7382-4549-B920-8DF4F0E1F380
46
7AFD2896-D310-47A5-B21C-976FC10FB5BE
47
7BBB6DF2-634B-4280-AE3C-BDA3636E6D88
48
7C611808-DF27-47ED-8A86-0F09636EA4AE
49
822F38DE-AC22-482B-A568-51928633B9D0
50
82B1919A-1520-4809-A776-933C1F0FB87B
51
83E9C197-F4CC-45FA-A176-351348CDF0C4
52
87B66FDC-E0F8-4EC8-9529-CEE82E6C2C7B
53
8E4241DD-85D9-423C-80B1-F7BFDD7C8BB9
54
94A8D788-355C-40CE-95DB-C2A5A3A22347
55
97A25B28-E017-4CFD-AD63-317BE6F4FD6C
56
99DBF18C-07DE-440C-BC6F-F52F404EE61D
57
9A1DCF70-2591-4110-B4D0-15CA7159CF97
58
9D00C0C7-AF46-4FB0-8C20-3C765DE2DC66
59
9DA3B90F-D31E-42EB-96D1-F979066701B1
60
A3064C10-8FE9-4D4E-A176-789F7DEB5E24
61
A4D75310-0BD7-4A1A-BC7F-67B19C29DA12
62
A4EE972A-620B-446F-89B1-B338F27B33B3
63
ACBAA3E8-78DA-4B0F-9E35-E8A526A04331
64
AEE42B29-13EB-47A5-9AAC-8405170BDAA5
65
B1A020E0-AE05-4488-9955-5FE4C2A2E65E
66
B1F6C36F-FFF9-400B-8495-AE7DB52A96C0
67
B2C22E60-09FB-4EA7-A8D1-24EEC1A799A1
68
B309B134-60F1-4A66-BEB3-E1500E044F86
69
B5BF3708-1ADB-4C02-9C95-A412BB33CD51
70
B5F88BDC-D66F-4818-AB80-B01ED6C13E20
71
B755948D-91C1-48E8-89A0-58299B063357
72
BFBD9CE1-6B15-4C82-8576-D067EFDEE73F
73
CAE00438-342E-441D-BAD5-F7D7333100D6
74
CB9BBC21-6A27-473B-9A06-1154CC0F89E1
75
CD7E5DB5-6070-4112-B99C-1533CDA89C72
76
D9E18F8C-CCF1-4C49-8663-D1AD35EBC16E
77
DB8D776A-8A1F-4366-83A5-75C168F4D9C7
78
DF3E73CC-AD7D-41B7-85ED-765AD13B99F1
79
E4C033B0-F78B-4AFA-BA4E-D365554D75A0
80
E92A2FD7-6C57-422C-8976-6781B90992B3
81
EC257C07-0945-4644-9FFE-9B6891D24B59
82
EC9B7C49-E991-4A58-B609-4985D0658A6F
83
F42B9232-38A6-4DAF-8E30-8C7A6790B23E
84
F615CE70-080F-4717-A558-B48B9541901C
85
FB24ABA4-1E2E-47CC-A04E-3E67E96B5F75
86
FBF019BB-6CA1-4F10-9693-BC85D8124629
Invertebrate fisher ID
86
0
1
0376CAEE-574E-4BD7-82D8-CEA362A5B937
2
0A0E330B-7C2F-4A3F-A1DD-8650DE2BF89C
3
13804F65-DE25-4B29-A548-019D13FD0686
4
14BB1894-E6FE-4B95-9F97-A158020E919B
5
183AB40F-8A68-4D31-B2EC-1E5B10A57A6E
6
1B5AC7E5-E7F2-45CE-9AEF-8B81F3090FF6
7
1E7A5A5C-BA8C-4F8D-B968-20D8E7786349
8
21658C21-EDDE-4850-A8EA-A94336157DD3
9
2B69195A-E981-4320-9580-BADE6F05BBD7
10
2CB8E04A-81B0-415B-AEB8-2F0E6FD26D4C
11
31356F2E-0E16-475B-AEC2-89644D6549C9
12
351E64EC-0FE8-4603-A6FE-18BDD7AA7F77
13
36EB8FC8-17A4-4507-A868-0EAFFD9B03D9
14
3AA30D3E-0976-4507-A864-55935E510EBB
15
3FF4E655-644C-4926-AC4D-5CF1B16689CC
16
411F20BC-1902-4B10-A714-DAAEA250F786
17
45EB7E6F-458A-41B0-B9F8-9855B5FF2252
18
4688D1E8-054B-4E0B-9F82-584F89D39179
19
498F8BAA-9E20-46F9-83E9-1FC0D38E5C3D
20
4BD5D030-6E5C-4237-A58E-865C4BDB1F93
21
519E025E-2656-47FC-A03E-2FF308F81510
22
571346C3-890A-46BC-8AA4-2CC52EA6F3AF
23
5D2CF333-205E-4EF4-84F6-9A427FE6C69F
24
6031F585-C69C-477C-90E9-96B1F3BBED3C
25
6048241F-60B2-4DD6-8BE1-BC1DC6D447EA
26
613C9D27-7E9B-4673-B2EA-352BA3C8CDC5
27
6918B13D-2560-4721-B3DF-6CC7503198DD
28
7022A982-6B0F-421A-A0D0-B477D07EC548
29
84CDEBFF-8EB5-4C1D-A92C-FA0FDBB80F77
30
8794C56A-6546-4DDE-9CB3-4025388915FC
31
8921A4EC-C10E-48BE-ABD6-66F231133AFD
32
8AED0CEE-FA51-4DBD-B864-5DD3FB9F8E63
33
8FC97196-DFE8-48DA-B070-DCAB6670C483
34
90D2D4EF-97D9-4834-B57C-E4FB6106C895
35
943B7418-2F65-4FBD-8530-60163268DAFA
36
9D4D6670-D279-4B8C-8381-961CC7496BD3
37
A08477A2-2159-4E7D-8C6F-2DAFCC1882B4
38
A22C8E88-B3D2-4301-AEC6-5B0670EC9036
39
A40631A4-894E-494E-A629-8A58BBA00700
40
ABC0B464-0A2B-4A40-A377-2DC0EBC679D2
41
AD51E380-1E14-4322-A08D-7D8FEAE81B39
42
B1F78F52-3DE2-4864-A576-FDCEB5F8290E
43
B6D58196-69AB-4B38-89DB-4470C53B96C3
44
B6F55EFC-185D-46F6-B861-AE1CA2340842
45
B8046AEC-AC0E-4579-A0DA-AF6EE13D4C08
46
BCDF2BFB-8712-4DDA-A309-6C58F0D74061
47
C2ACEFAE-DFED-4C97-BCFC-81DB3251A1A7
48
D12B68E1-F946-4D9E-8D81-ED67EF966C2F
49
D14E6A56-6E3E-4452-8ED6-9C8CE9287CCB
50
D7207662-7F98-4847-9AD8-86F045213C37
51
E97DFBF1-EA62-462F-9771-257F29C19097
52
ECD3EC39-EFCC-4B5E-8F16-68700E0A7985
53
F6A21FB6-C52B-4A89-9C98-45CE15099546
54
F71149DC-17DE-4AC0-919E-4C01C5285650
55
F75D75C3-B6B2-4899-8301-64BF62C4F91B
56
F85C89D5-3C8A-45E5-AA2F-2C0DC4A80D2F
57
F866A429-B91B-4349-AB78-6BD04B81673F
58
FBA47471-C413-4674-9E9C-D22C8F74EE43
59
FD44C747-2E1E-4DDF-83B3-D49D200FD7DF
60
FDCB3412-4B3D-4442-A145-606F2894AEA6
Household ID
86
0
1
00452B29-720B-4FD0-84A7-F969C4BAF2F1
2
0C79E5D6-E9B2-4197-903B-CDAAD5CF9D9E
3
0ECF3CF5-5AFE-451E-92DD-DAADF5364F65
4
1017E74E-7CCC-4804-A68A-1D6AF089B70F
5
222CBA5D-9BC9-41C7-8DFB-217F051E74CB
6
2797B93F-AB20-4633-9804-C1C1D4D43C7D
7
2CB20911-F618-4DC3-B052-2D29A075F163
8
31DD425A-6828-475C-B83C-A6701E03BC51
9
3454EB65-2547-4693-9BBB-3927E8C39AAC
10
34B0710F-6C47-46CB-BA7A-104C152D6D23
11
35EF055F-D20C-4B61-83E0-C32B773767E5
12
385FD5EF-7E79-4CDB-B934-49C0C35D432D
13
3C330BA5-9BC9-4E09-9AC7-9D3EDDCABB67
14
3FB63512-97E1-448D-B00F-678D1DE84ECF
15
4CC28D73-7218-49D1-8869-75EBEDA3A3B7
16
4DA9D572-595C-46DD-B4EA-510AD6103F7F
17
4DC5239E-1C2F-46F6-8941-8CEAE4C40959
18
55525AD5-7960-4C4F-9E7D-1BB07119AE46
19
57CB3F49-3567-4FDC-91BC-DAC2E577C226
20
5908FCC6-360A-48CA-BF9A-A37000AFF30C
21
60F6978C-F919-4536-B3FF-DFDF948C3B64
22
63E0B00C-756E-4182-B08C-65317D41700D
23
67ABD745-A457-4FA2-9E4C-73134D65FC4C
24
686EEFBD-1955-4DA0-8D36-D887421EE7F6
25
6BD9D4A0-78C2-46B9-A0DE-430A01FCBFFC
26
6DF9FD48-14DE-487B-BF06-DB2C903B44CB
27
6E09B950-CF6D-4593-A996-DC59884E031F
28
6FC08A3D-CC03-4994-8E22-77F36F06DEDD
29
7854E3A5-7B51-437E-A120-309A737C2347
30
7A06CBEF-FE2F-4A2E-AB39-165B83D3177E
31
7CB339B2-3889-4323-BF26-81A0E5FC22A4
32
7D941DF1-E621-4FEC-AF28-173FAA9E61F6
33
7E8D03EE-332E-49C0-BE20-0F11099C5ABE
34
82B9BB04-F7C4-4298-9523-3FFED21B1070
35
8C38CE98-AB68-4688-8D7E-661676B20C41
36
8E36918B-72CE-48D7-A8FD-CA13184772AE
37
8EC54A8B-B693-45C7-8DED-3B068ECCA5A5
38
9226AB48-F96E-411F-B27C-F160B26740CD
39
9D10633B-427E-4BC7-B0D4-595AC7A539A2
40
A0DB43B5-659B-49D0-B1A0-CA70613172B7
41
A3C564D1-624A-4BC8-9822-0EA24DED755B
42
A6D4B3FD-8FF5-4325-9CA0-AF8E380CF92D
43
AF0C9E81-25B8-4FFF-9808-2A74CBE2458B
44
B9D46228-F66B-4BCC-8BAD-070BC8C8178D
45
BB8BDB60-42FA-45B0-9B12-36471C00B7C4
46
C38B4376-B846-4AF6-9A37-C2BE3F533105
47
CAC65B61-F36B-4656-8676-50BA1738A34A
48
CD2055AC-1849-4449-A925-79E5E166AD27
49
D8853E96-E8B4-4480-94F1-24143311D610
50
DDA96F15-9255-405A-9637-4336FE07E06A
51
E0D7FD8F-A237-4533-849E-765A3C432D37
52
E22B3BC4-5D4B-4033-A334-EBFE015E71AB
53
EC1DEFB1-41AE-4E62-9E61-9432F075DBB7
54
F13471A7-D091-40CE-9C2D-79242D432E88
Site
4
0
1
4
1
Airai
1
2
Koror
1
3
Ngarchelong
1
4
Ngatpang
1
Low island
4
0
0
0
0
No
4
1
Yes
0
High island
4
0
1
1
0
No
0
1
Yes
4
Latitude
4
0
7.333
7.7
7.465
0.166
Longitude
4
0
134.483
134.625
134.549
0.0584
Distance to Center of Biodiversity (km)
4
0
1111.978
1140.446
1123.685
Island area (km2)
4
0
374.1
374.1
374.1
Isolation index
4
0
81
81
81
81
4
Distance to capital (km)
4
0
0
43.631
16.744
Market by boat
4
0
0
1
0
No
2
1
Yes
2
Market by road
4
0
1
1
0
No
0
1
Yes
4
Market by air
4
0
0
0
0
No
4
1
Yes
0
Nearest market
4
0
1
1
1
Koror
4
Distance to market
4
0
0
43.631
Fishing ground area (km2)
4
0
80.26
814.028
291.652
Reef area (km2)
4
0
35.459
193.352
94.566
Coastal reef area (km2)
4
0
3.733
28.812
18.214
Lagoon area (km2)
4
0
55.91
752.185
253.47
Outer reef area (km2)
4
0
3.995
34.61
19.968
Total population
4
0
184.44
2332.592
Total number of households
4
0
44
470
182.75
Household surveyed
4
0
25
51
Average Household size
4
0
3.48
4.963
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
51.597
65.57
57.55
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
5.229
26.729
11.998
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
5.538
6.643
6.058
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
59.344
82.004
69.548
Recoded variable
Pourcentage of Household remittance
How much? (enter amount) Every time?
4
0
3.704
16
7.887
Recoded variable
Average remittance in USD
How much? (enter amount) Every time?
4
0
800
2650
1518.75
Recoded variable
Percentage 1st income - Fishing
Where does the CASH money in this household come from?
4
0
5.882
14.815
10.174
Recoded variable
Percentage 1st income - Salary
Where does the CASH money in this household come from?
4
0
51.852
84
66.1
Recoded variable
Percentage 2nd income - Fishing
Where does the CASH money in this household come from?
4
0
3.922
24
15.684
Recoded variable
Percentage 2nd income - Salary
Where does the CASH money in this household come from?
4
0
0
11.111
5.268
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
4464
8488.889
6130.163
Recoded variable
Percentage education - Primary
What is the educational level of your household members?
4
0
0.0526
0.329
0.232
Recoded variable
Percentage education - Secondary
What is the educational level of your household members?
4
0
0.429
0.579
0.482
Recoded variable
Percentage education - Tertiary
What is the educational level of your household members?
4
0
0.237
0.368
0.286
Recoded variable
Extrapolated number - Fishers
How many fishers live in your household?
4
0
58.08
609.259
219.185
Recoded variable
Extrapolated number - Finfish fishers
4
0
49.28
557.037
199.928
Recoded variable
Extrapolated number - Invertebrate fishers
4
0
22.88
313.333
104.354
Recoded variable
Extrapolated number - Boats
Does this household own a boat?
4
0
31.8
278.518
104.506
Recoded variable
Extrapolated number - Canoes
4
0
1.76
52.222
15.359
Recoded variable
Extrapolated number - Sailboats
Does this household own a boat?
4
0
0
0
0
Recoded variable
Extrapolated number - Motorboats
4
0
27.56
226.296
89.146
Recoded variable
Extrapolated average nnumber - Boats
Does this household own a boat?
4
0
0.431
0.84
0.616
Recoded variable
Extrapolated annual Finfish - Catch
Where do you normally get your fish and seafood from?
4
0
30.528
433.062
155.617
Recoded variable
Extrapolated annual Finfish - Subsistence
Where do you normally get your fish and seafood from?
4
0
10.218
116.908
47.258
Recoded variable
Extrapolated annual Finfish - Export
Where do you normally get your fish and seafood from?
4
0
18.761
316.154
108.359
Recoded variable
Number of people per - Fishing ground area
4
0
0.964
27.007
7.877
Recoded variable
Number of people per - Reef area
4
0
1.708
56.277
16.95
Recoded variable
Number of household per - Fishing ground area
4
0
0.201
5.442
1.619
Recoded variable
Number of household per - Reef area
4
0
0.491
11.339
3.48
Recoded variable
Number of Finfish fishers per - Fishing ground area
4
0
0.17
6.45
1.882
Recoded variable
Number of Finfish fishers per - Reef area
4
0
0.51
13.439
4.014
Recoded variable
Number of boats per - Fishing ground area
4
0
0.0869
3.225
0.986
Recoded variable
Number of boats per - Reef area
4
0
0.294
6.72
2.106
Recoded variable
Annual Finfish fisher - Subsistence catch per household
4
0
192.798
305.712
253.676
Recoded variable
Annual Finfish fisher - Export catch per household
4
0
373.925
701.837
543.701
Recoded variable
Annual Finfish fisher - Catch per FG area
4
0
0.137
5.014
1.447
Recoded variable
Annual Finfish fisher - Catch per Reef area
4
0
0.439
10.448
3.081
Recoded variable
Finfish fishers - Technique Handline
4
0
28.571
65.625
40.869
Recoded variable
Finfish fishers - Technique Castnet
4
0
0
17.308
9.516
Recoded variable
Finfish fishers - Technique Speardive
4
0
15.385
46.939
29.586
Recoded variable
Finfish fishers - Technique Spear walk canoe
4
0
0
9.615
2.404
Recoded variable
Finfish fishers - Technique Deep bottom line
4
0
0
10.204
3.642
0
1
1.92307692307692
1
2.4390243902439
1
10.2040816326531
1
Recoded variable
Finfish fishers - Technique Gillnet
4
0
4.082
17.308
9.52
Recoded variable
Finfish fishers - Technique Other
4
0
3.125
5.769
4.463
Recoded variable
Finfish fishers - Catch per hour
4
0
2.509
3.235
2.846
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Acanthuridae
4
0
2412.745
21861.471
10512.557
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Albulidae
4
0
0
0
0
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Balistidae
4
0
0
260.043
65.011
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Belonidae
4
0
0
0
0
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Caesionidae
4
0
0
0
0
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Carangidae
4
0
0
16180.476
4592.767
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Chanidae
4
0
0
69.74
17.435
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Cirrhitidae
4
0
0
0
0
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Exocoetidae
4
0
0
0
0
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Gerreidae
4
0
0
1885.89
885.064
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Hemiramphidae
4
0
0
0
0
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Holocentridae
4
0
108.73
4484.005
1736.386
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Kyphosidae
4
0
0
1830.264
771.247
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Labridae
4
0
54.322
581.831
292.529
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Lethrinidae
4
0
9527.729
122589.59
41551.679
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Lutjanidae
4
0
3228.609
80072.091
26042.128
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Mugilidae
4
0
0
28452.418
7327.079
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Mullidae
4
0
897.283
5085.101
3091.224
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Other
4
0
302.634
5629.256
2411.423
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Platycephalidae
4
0
0
0
0
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Priacanthidae
4
0
0
0
0
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Scaridae
4
0
2408.196
38123.165
18846.459
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Serranidae
4
0
4990.626
38963.722
14549.186
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Siganidae
4
0
3165.286
75388.43
22924.378
Recoded variable
Extrapolated yearly weight (kg) caught by the community - Sphyraenidae
4
0
0
0
0
Recoded variable