KALAHI-CIDSS Community Development Grants 2012
Philippines, 2012
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Reference ID
PHL_2012_MCC-KCCDG_v01_M
Producer(s)
Innovations for Poverty Action
Collection(s)
Metadata
Created on
Jun 08, 2015
Last modified
Jun 08, 2015
Page views
255964
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- Data files
- Matching Pairs
-
B15_ History
and Important
Events -
B16_ Health
Facilities -
B17_ Benefits
from Social
Programs -
B18_ Barangay
Welfare -
B08_
Development
Activities -
B09_ Access to
Services and
Landmarks -
B10_ Education
Facilities -
B11_
Infrastracture
1 -
B12_ Community
Participation -
B13_ Social
Cohesion, Crime
and Trust -
B14_
Information
Media -
B03_ Background
Information -
B04_
Demographic
Information -
B05_ Barangay
Government -
B06_ Barangay
Representative
Body -
B07_ Government
Performance - H13 Health
-
H14
Pregnancy-related
Questions -
H15
Agricultural
Crop Profile &
Record of Palay
Crop -
H15 Other Crops
Harvested -
H16 Livestock &
Poultry
Inventory - H17_Fishery_&_Aquaculture
-
H17A Source
Agri
Information -
H18_Community
Participation - H19_Difficulties_&_Tragic_Events
- H20_Governance_&_Empowerment
- H21_Information_&_Communication_1
- H22_Projects_to_Improve_Barangay_Welfare
- H23_Social_Networks_revised
- H24_Social_Cohesion,_Crime_&_Trust-Wide(SCT1-5)
- H25_KALAHI-CIDSS_Evaluation_Wide
-
H02 Basic
Information
about the HH
Head -
H03 Household
Members_Long - H04 Education
-
H05 Labor
Module -
H06 Self-rated
Hunger &
Poverty -
H07 Social
Benefits -
H08 Expenditure
(Food) - H08 Expenditure
-
H09 Housing
Amenities -
H10 Household
Assets -
H11 Access to
Services -
H12 Water &
Sanitation
Species - Fish3 (fish3)
Data file: H17_Fishery_&_Aquaculture
Overview
Valid:
5940
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
211
End:
213
Width:
3
Range:
-95 - 265
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -95 | 5813 |
97.9%
|
|
| 1 | Milkfish | 0 |
0%
|
| 2 | Tiger Prawn | 0 |
0%
|
| 3 | W. Shrimp/Endeavor Prawn | 0 |
0%
|
| 4 | Tilapia | 0 |
0%
|
| 5 | Grouper | 0 |
0%
|
| 6 | Mudcrab | 3 |
0.1%
|
| 7 | Lobster | 0 |
0%
|
| 8 | Samaral/Siganid | 0 |
0%
|
| 9 | Abo | 0 |
0%
|
| 10 | Adlo | 0 |
0%
|
| 11 | Agal-Agal | 0 |
0%
|
| 12 | Ailutan | 0 |
0%
|
| 13 | Akag | 0 |
0%
|
| 14 | Akot | 0 |
0%
|
| 15 | Alatan | 0 |
0%
|
| 16 | Alumahan | 0 |
0%
|
| 17 | Amadas | 0 |
0%
|
| 18 | Anduhail | 0 |
0%
|
| 19 | Angelfish | 0 |
0%
|
| 20 | Angul | 0 |
0%
|
| 21 | Anuping | 1 |
0%
|
| 22 | Atabang | 0 |
0%
|
| 23 | Auliuk | 0 |
0%
|
| 24 | Badlon | 0 |
0%
|
| 25 | Baga | 1 |
0%
|
| 26 | Bagaong | 0 |
0%
|
| 27 | Bagtak | 0 |
0%
|
| 28 | Baha-Oy | 0 |
0%
|
| 29 | Balanak | 1 |
0%
|
| 30 | Balitus | 0 |
0%
|
| 31 | Balo | 0 |
0%
|
| 32 | Banak | 1 |
0%
|
| 33 | Banog | 0 |
0%
|
| 34 | Baraka | 0 |
0%
|
| 35 | Barangan | 0 |
0%
|
| 36 | Baritos | 0 |
0%
|
| 37 | Baw | 0 |
0%
|
| 38 | Bawak | 0 |
0%
|
| 39 | Bawis | 0 |
0%
|
| 40 | Bayo Bayo | 0 |
0%
|
| 41 | Bisugo | 3 |
0.1%
|
| 42 | Biya | 1 |
0%
|
| 43 | Bodus | 0 |
0%
|
| 44 | Bonog | 0 |
0%
|
| 45 | Boras | 0 |
0%
|
| 46 | Budlis | 0 |
0%
|
| 47 | Bugaong | 0 |
0%
|
| 48 | Bugaw | 0 |
0%
|
| 49 | Bugo | 0 |
0%
|
| 50 | Bugok | 0 |
0%
|
| 51 | Buhog | 0 |
0%
|
| 52 | Bukaw | 0 |
0%
|
| 53 | Bulat | 0 |
0%
|
| 54 | Bulaw | 0 |
0%
|
| 55 | Buli | 0 |
0%
|
| 56 | Bulian | 0 |
0%
|
| 57 | Bulis | 0 |
0%
|
| 58 | Bun-Ak | 0 |
0%
|
| 59 | Buraka | 0 |
0%
|
| 60 | Buras | 0 |
0%
|
| 61 | Buraw | 0 |
0%
|
| 62 | Butlog | 0 |
0%
|
| 63 | Buyang | 1 |
0%
|
| 64 | Cabonbon | 0 |
0%
|
| 65 | Canasi | 0 |
0%
|
| 66 | Carpa | 0 |
0%
|
| 67 | Catfish | 0 |
0%
|
| 68 | Cortido | 0 |
0%
|
| 69 | Crab | 2 |
0%
|
| 70 | Dalagang Bukid | 0 |
0%
|
| 71 | Dalo-Dalo | 0 |
0%
|
| 72 | Dalupingan | 0 |
0%
|
| 73 | Danggit | 2 |
0%
|
| 74 | Danoy | 1 |
0%
|
| 75 | Dapa | 0 |
0%
|
| 76 | Dayangdang | 0 |
0%
|
| 77 | Dilis | 1 |
0%
|
| 78 | Donpilas | 0 |
0%
|
| 79 | Dorado | 0 |
0%
|
| 80 | Dugong | 0 |
0%
|
| 81 | Dugso | 0 |
0%
|
| 82 | Eel | 1 |
0%
|
| 83 | Epingan | 0 |
0%
|
| 84 | Epus | 0 |
0%
|
| 85 | Esok | 0 |
0%
|
| 86 | Flying Fish | 0 |
0%
|
| 87 | Frog | 1 |
0%
|
| 88 | Gabot | 1 |
0%
|
| 89 | Gadiw | 0 |
0%
|
| 90 | Galunggong | 1 |
0%
|
| 91 | Ganga | 0 |
0%
|
| 92 | Gangis | 0 |
0%
|
| 93 | Ganting | 0 |
0%
|
| 94 | Gingaw | 0 |
0%
|
| 95 | Guntol | 0 |
0%
|
| 96 | Gusaw | 0 |
0%
|
| 97 | Haburok | 0 |
0%
|
| 98 | Hamul-Od | 0 |
0%
|
| 99 | Hanginan | 1 |
0%
|
| 100 | Hasa-Hasa | 0 |
0%
|
| 101 | Himahan | 0 |
0%
|
| 102 | Hipon | 0 |
0%
|
| 103 | Hito | 0 |
0%
|
| 104 | Hiwas | 0 |
0%
|
| 105 | Hulimok | 0 |
0%
|
| 106 | Ilak | 0 |
0%
|
| 107 | Imelda Fish | 0 |
0%
|
| 108 | Indong | 0 |
0%
|
| 109 | Ipingan | 0 |
0%
|
| 110 | Ipos-Ipos | 0 |
0%
|
| 111 | Isdang Bato | 3 |
0.1%
|
| 112 | Janin | 1 |
0%
|
| 113 | Kabibe | 0 |
0%
|
| 114 | Kadletan | 0 |
0%
|
| 115 | Kais | 0 |
0%
|
| 116 | Kalan | 0 |
0%
|
| 117 | Kalapati | 0 |
0%
|
| 118 | Kaliwagon | 1 |
0%
|
| 119 | Kanuping | 0 |
0%
|
| 120 | Karaw | 0 |
0%
|
| 121 | Katambak | 3 |
0.1%
|
| 122 | Katumba | 0 |
0%
|
| 123 | Katyawang | 0 |
0%
|
| 124 | Kimpi | 0 |
0%
|
| 125 | Kinason | 0 |
0%
|
| 126 | Kitong | 2 |
0%
|
| 127 | Kuyabotan | 0 |
0%
|
| 128 | Labahita | 0 |
0%
|
| 129 | Lambaro | 0 |
0%
|
| 130 | Lambay | 0 |
0%
|
| 131 | Landong | 0 |
0%
|
| 132 | Langit | 1 |
0%
|
| 133 | Lapu-Lapu | 1 |
0%
|
| 134 | Lapusin | 0 |
0%
|
| 135 | Leyen | 0 |
0%
|
| 136 | Limbahon | 0 |
0%
|
| 137 | Liplipan | 0 |
0%
|
| 138 | Liyabon | 1 |
0%
|
| 139 | Lomong | 0 |
0%
|
| 140 | Lubay Lubay | 0 |
0%
|
| 141 | Lugso | 0 |
0%
|
| 142 | Lumong | 0 |
0%
|
| 143 | Lupit | 1 |
0%
|
| 144 | Luyon | 0 |
0%
|
| 145 | Mackerel | 0 |
0%
|
| 146 | Magadlum | 0 |
0%
|
| 147 | Malabgas | 0 |
0%
|
| 148 | Malasugue | 0 |
0%
|
| 149 | Mamadas | 1 |
0%
|
| 150 | Mambon | 0 |
0%
|
| 151 | Mamburok | 0 |
0%
|
| 152 | Mampig | 0 |
0%
|
| 153 | Managat | 1 |
0%
|
| 154 | Manlalara | 0 |
0%
|
| 155 | Manoping | 1 |
0%
|
| 156 | Maray | 0 |
0%
|
| 157 | Marinaya | 0 |
0%
|
| 158 | Maripati | 0 |
0%
|
| 159 | Marot | 0 |
0%
|
| 160 | Matang Baka | 3 |
0.1%
|
| 161 | Maya-Maya | 1 |
0%
|
| 162 | Mayadas | 0 |
0%
|
| 163 | Molly | 2 |
0%
|
| 164 | Mudfish | 3 |
0.1%
|
| 165 | Mumblad | 0 |
0%
|
| 166 | Ngayaw | 1 |
0%
|
| 167 | Ngisi-Ngisi | 0 |
0%
|
| 168 | Octopus | 4 |
0.1%
|
| 169 | Oring | 0 |
0%
|
| 170 | Oslaw | 0 |
0%
|
| 171 | Owl Owl | 0 |
0%
|
| 172 | Oyster | 0 |
0%
|
| 173 | Pagi | 1 |
0%
|
| 174 | Pagutpot | 1 |
0%
|
| 175 | Pak-An | 0 |
0%
|
| 176 | Palata | 1 |
0%
|
| 177 | Paleleng | 0 |
0%
|
| 178 | Palo-Palo | 1 |
0%
|
| 179 | Panasag | 0 |
0%
|
| 180 | Pangalilen | 0 |
0%
|
| 181 | Panhatac | 0 |
0%
|
| 182 | Pantat | 1 |
0%
|
| 183 | Parangan | 0 |
0%
|
| 184 | Parol | 1 |
0%
|
| 185 | Pating | 0 |
0%
|
| 186 | Patsi | 1 |
0%
|
| 187 | Payata | 1 |
0%
|
| 188 | Payo-Payo | 0 |
0%
|
| 189 | Pugot | 2 |
0%
|
| 190 | Pulag-Ikog | 0 |
0%
|
| 191 | Pusuan | 1 |
0%
|
| 192 | Putian | 2 |
0%
|
| 193 | Rumpe | 0 |
0%
|
| 194 | Sahoy | 1 |
0%
|
| 195 | Salasalaming | 0 |
0%
|
| 196 | Salay Bato | 0 |
0%
|
| 197 | Salay-Salay | 1 |
0%
|
| 198 | Salmon | 0 |
0%
|
| 199 | Salmonete | 1 |
0%
|
| 200 | Sambukod | 0 |
0%
|
| 201 | Samong | 0 |
0%
|
| 202 | Sandig | 0 |
0%
|
| 203 | Sapsap | 6 |
0.1%
|
| 204 | Sardines | 0 |
0%
|
| 205 | Sarimburao | 0 |
0%
|
| 206 | Saro Basid | 0 |
0%
|
| 207 | Sea Cucumber | 0 |
0%
|
| 208 | Sea Shell | 2 |
0%
|
| 209 | Seaweeds | 0 |
0%
|
| 210 | Siga | 1 |
0%
|
| 211 | Sikad Sikad | 1 |
0%
|
| 212 | Silay | 1 |
0%
|
| 213 | Silinyasi | 0 |
0%
|
| 214 | Sipi | 1 |
0%
|
| 215 | Solid | 0 |
0%
|
| 216 | Sorahan | 0 |
0%
|
| 217 | Squid | 2 |
0%
|
| 218 | Suga | 0 |
0%
|
| 219 | Sulig | 0 |
0%
|
| 220 | Sulisugi | 0 |
0%
|
| 221 | Suran | 0 |
0%
|
| 222 | Swahi | 0 |
0%
|
| 223 | Swordfish | 1 |
0%
|
| 224 | Tabangka | 1 |
0%
|
| 225 | Tabasak | 0 |
0%
|
| 226 | Tahong | 0 |
0%
|
| 227 | Tahumuk | 0 |
0%
|
| 228 | Taklain | 1 |
0%
|
| 229 | Taklobo | 1 |
0%
|
| 230 | Talakitok | 5 |
0.1%
|
| 231 | Talikokod | 0 |
0%
|
| 232 | Talimago | 0 |
0%
|
| 233 | Taluyog | 0 |
0%
|
| 234 | Tamaya | 0 |
0%
|
| 235 | Tambakol | 2 |
0%
|
| 236 | Tambalang | 1 |
0%
|
| 237 | Tamban | 3 |
0.1%
|
| 238 | Tambol | 0 |
0%
|
| 239 | Tamtaka | 0 |
0%
|
| 240 | Tangal | 0 |
0%
|
| 241 | Tanglaron | 0 |
0%
|
| 242 | Tanguigue | 1 |
0%
|
| 243 | Taniti | 0 |
0%
|
| 244 | Tarakito | 1 |
0%
|
| 245 | Tawis | 1 |
0%
|
| 246 | Tibudiong | 0 |
0%
|
| 247 | Tigban | 1 |
0%
|
| 248 | Tilapia | 1 |
0%
|
| 249 | Tilib | 0 |
0%
|
| 250 | Tilos | 0 |
0%
|
| 251 | Tinutunan | 0 |
0%
|
| 252 | Toyatad | 0 |
0%
|
| 253 | Trikito | 1 |
0%
|
| 254 | Tubong | 0 |
0%
|
| 255 | Tulingan | 8 |
0.1%
|
| 256 | Tumatanay | 1 |
0%
|
| 257 | Tuna | 3 |
0.1%
|
| 258 | Turos | 0 |
0%
|
| 259 | Tuway | 0 |
0%
|
| 260 | Ugadiw | 0 |
0%
|
| 261 | Urahan | 1 |
0%
|
| 262 | Usuos | 1 |
0%
|
| 263 | Walit-Waget | 0 |
0%
|
| 264 | Assorted Fish | 1 |
0%
|
| 265 | Don't know | 7 |
0.1%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.