DOCSLIB.ORG

2018 Operation Timbang Plus Report Municipal Ranking

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
2018 Operation Timbang Plus Report Municipal Ranking 2018 OPERATION TIMBANG PLUS REPORT MUNICIPAL RANKING HEIGHT/LENGTH FOR AGE: STUNTED+ SEVERELY STUNTED Rank Province Municipality Magnitude Prevalence 1 Northern Samar SILVINO LOBOS 482 49.5% 2 Western Samar MOTIONG 548 46.3% 3 Western Samar SAN JORGE 509 43.8% 4 Western Samar SAN JOSE DE BUAN 334 42.4% 5 Northern Samar SAN ROQUE 1104 41.9% 6 Leyte BABATNGON 1198 40.1% 7 Western Samar SAN SEBASTIAN 222 38.6% 8 Northern Samar LOPE DE VEGA 590 38.4% 9 Western Samar ZUMARRAGA 506 38.0% 10 Northern Samar MAPANAS 440 37.3% 11 Western Samar GANDARA 849 36.6% 12 Western Samar VILLAREAL 886 35.7% 13 Western Samar ALMAGRO 163 33.9% 14 Western Samar PINABACDAO 480 33.5% 15 Western Samar BASEY 1299 33.4% 16 Leyte LA PAZ 464 33.4% 17 Eastern Samar SAN JULIAN 384 32.8% 18 Eastern Samar JIPAPAD 227 32.6% 19 Eastern Samar LLORENTE 103 32.4% 20 Western Samar DARAM 1367 31.9% 21 Western Samar CALBIGA 555 31.9% 22 Western Samar TAGAPUL-AN 213 31.3% 23 Eastern Samar ORAS 896 30.4% 24 Western Samar JIABONG 392 29.6% 25 Leyte PASTRANA 533 29.4% 26 Leyte INOPACAN 482 28.7% 27 Leyte PALO 1870 28.1% 28 Western Samar PAGSANGHAN 195 27.9% 29 Biliran BILIRAN 448 27.7% 30 Leyte KANANGA 1352 27.5% 31 Leyte MAYORGA 477 27.5% 32 Western Samar STA. RITA 1347 27.1% 33 Northern Samar GAMAY 546 26.7% 34 Leyte HINDANG 401 26.5% 35 Leyte BATO 933 26.5% 36 Northern Samar ROSARIO 296 26.3% 37 Northern Samar CAPUL 267 26.3% 38 Eastern Samar GEN. MACARTHUR 397 26.2% 39 Northern Samar LAOANG 1389 26.1% 40 Biliran CABUCGAYAN 569 25.5% 41 Eastern Samar MAYDOLONG 342 25.4% 42 Western Samar MARABUT 262 25.3% 43 Southern Leyte SAN FRANCISCO 431 25.3% 44 Eastern Samar BALANGIGA 347 25.1% 45 Northern Samar SAN VICENTE 125 24.9% 1 2018 OPERATION TIMBANG PLUS REPORT MUNICIPAL RANKING HEIGHT/LENGTH FOR AGE: STUNTED+ SEVERELY STUNTED Rank Province Municipality Magnitude Prevalence 46 Southern Leyte LIBAGON 273 24.8% 47 Leyte PALOMPON 1003 24.7% 48 Northern Samar LAVEZARES 686 24.7% 49 Northern Samar BIRI 225 24.7% 50 Leyte CALUBIAN 694 24.3% 51 Western Samar STA. MARGARITA 562 24.3% 52 Eastern Samar MASLOG 129 23.7% 53 Leyte ISABEL 519 23.7% 54 Leyte JAVIER 613 23.7% 55 Northern Samar PAMBUJAN 776 23.5% 56 Northern Samar MONDRAGON 831 23.3% 57 Western Samar MATUGINAO 206 23.3% 58 Eastern Samar HERNANI 171 23.3% 59 Eastern Samar SAN POLICARPO 300 22.8% 60 Leyte HILONGOS 1227 22.4% 61 Northern Samar PALAPAG 799 22.3% 62 Leyte DAGAMI 827 22.2% 63 Leyte ABUYOG 828 22.1% 64 Western Samar STO. NIǸO 216 21.7% 65 Leyte LEYTE 680 21.5% 66 Eastern Samar BALANGKAYAN 179 21.4% 67 Eastern Samar GIPORLOS 353 21.0% 68 Western Samar HINABANGAN 268 21.0% 69 Eastern Samar QUINAPONDAN 261 21.0% 70 Leyte SAN ISIDRO 515 20.9% 71 Leyte CARIGARA 459 20.7% 72 Leyte CAPOOCAN 555 20.6% 73 Leyte STA FE 439 20.4% 74 Southern Leyte MACROHON 466 20.4% 75 Eastern Samar LAWAAN 231 20.3% 76 Leyte MATALOM 486 20.2% 77 Biliran MARIPIPI 102 20.1% 78 Southern Leyte SAN JUAN 236 19.9% 79 Eastern Samar CAN-AVID 388 19.8% 80 Leyte MACARTHUR 404 19.0% 81 Eastern Samar SALCEDO 336 18.8% 82 Southern Leyte MALITBOG 289 18.7% 83 Northern Samar LAS NAVAS 363 18.6% 84 Southern Leyte SOGOD 922 18.5% 85 Western Samar TARANGNAN 359 18.0% 86 Western Samar PARANAS 578 18.0% 87 Northern Samar CATUBIG 590 17.8% 88 Biliran NAVAL 1256 17.8% 89 Leyte MERIDA 481 17.1% 90 Leyte JARO 769 17.0% 2 2018 OPERATION TIMBANG PLUS REPORT MUNICIPAL RANKING HEIGHT/LENGTH FOR AGE: STUNTED+ SEVERELY STUNTED Rank Province Municipality Magnitude Prevalence 91 Leyte TABONTABON 185 16.7% 92 Biliran CULABA 206 16.4% 93 Leyte BURAUEN 773 16.3% 94 Southern Leyte TOMAS OPPUS 200 16.3% 95 Leyte MAHAPLAG 389 15.9% 96 Leyte MATAG-OB 237 15.8% 97 Biliran CAIBIRAN 410 15.6% 98 Northern Samar SAN JOSE 293 15.3% 99 Biliran ALMERIA 255 15.1% 100 Northern Samar VICTORIA 185 15.1% 101 Northern Samar LAPINIG 180 15.0% 102 Southern Leyte SAINT BERNARD 257 13.1% 103 Leyte TOLOSA 222 13.0% 104 Biliran KAWAYAN 263 13.0% 105 Leyte ALANGALANG 895 12.0% 106 Southern Leyte PADRE BURGOS 101 11.9% 107 Southern Leyte HINUNDAYAN 96 11.0% 108 Eastern Samar GUIUAN 481 10.8% 109 Leyte TUNGA 72 10.6% 110 Southern Leyte SILAGO 108 10.2% 111 Southern Leyte HINUNANGAN 215 10.1% 112 Southern Leyte LILOAN 198 9.6% 113 Southern Leyte SAN RICARDO 72 9.5% 114 Leyte JULITA 124 9.2% 115 Northern Samar ALLEN 269 9.1% 116 Leyte ALBUERA 483 8.1% 117 Eastern Samar SULAT 94 7.9% 118 Leyte BARUGO 257 7.8% 119 Leyte DULAG 424 7.6% 120 Leyte TANAUAN 406 7.6% 121 Southern Leyte PINTUYAN 72 7.3% 122 Eastern Samar ARTECHE 80 6.1% 123 Southern Leyte BONTOC 205 6.0% 124 Northern Samar SAN ISIDRO 181 5.9% 125 Northern Samar SAN ANTONIO 81 5.5% 126 Eastern Samar MERCEDES 18 5.2% 127 Western Samar TALALORA 46 5.0% 128 Eastern Samar TAFT 86 3.8% 129 Northern Samar CATARMAN 332 3.6% 130 Leyte TABANGO 113 2.6% 131 Eastern Samar DOLORES 82 2.5% 132 Southern Leyte LIMASAWA 9 2.4% 133 Southern Leyte ANAHAWAN 20 1.9% 134 Northern Samar BOBON 57 1.9% 3 .
Load more

Recommended publications
  • POPCEN Report No. 3.Pdf
    CITATION: Philippine Statistics Authority, 2015 Census of Population, Report No. 3 – Population, Land Area, and Population Density ISSN 0117-1453 ISSN 0117-1453 REPORT NO. 3 22001155 CCeennssuuss ooff PPooppuullaattiioonn PPooppuullaattiioonn,, LLaanndd AArreeaa,, aanndd PPooppuullaattiioonn DDeennssiittyy Republic of the Philippines Philippine Statistics Authority Quezon City REPUBLIC OF THE PHILIPPINES HIS EXCELLENCY PRESIDENT RODRIGO R. DUTERTE PHILIPPINE STATISTICS AUTHORITY BOARD Honorable Ernesto M. Pernia Chairperson PHILIPPINE STATISTICS AUTHORITY Lisa Grace S. Bersales, Ph.D. National Statistician Josie B. Perez Deputy National Statistician Censuses and Technical Coordination Office Minerva Eloisa P. Esquivias Assistant National Statistician National Censuses Service ISSN 0117-1453 FOREWORD The Philippine Statistics Authority (PSA) conducted the 2015 Census of Population (POPCEN 2015) in August 2015 primarily to update the country’s population and its demographic characteristics, such as the size, composition, and geographic distribution. Report No. 3 – Population, Land Area, and Population Density is among the series of publications that present the results of the POPCEN 2015. This publication provides information on the population size, land area, and population density by region, province, highly urbanized city, and city/municipality based on the data from population census conducted by the PSA in the years 2000, 2010, and 2015; and data on land area by city/municipality as of December 2013 that was provided by the Land Management Bureau (LMB) of the Department of Environment and Natural Resources (DENR). Also presented in this report is the percent change in the population density over the three census years. The population density shows the relationship of the population to the size of land where the population resides.
    [Show full text]
  • EASTERN VISAYAS: SUMMARY of REHABILITATION ACTIVITIES (As of 24 Mar)
    EASTERN VISAYAS: SUMMARY OF REHABILITATION ACTIVITIES (as of 24 Mar) Map_OCHA_Region VIII_01_3W_REHAB_24032014_v1 BIRI PALAPAG LAVEZARES SAN JOSE ALLEN ROSARIO BOBON MONDRAGON LAOANG VICTORIA SAN CATARMAN ROQUE MAPANAS CAPUL SAN CATUBIG ANTONIO PAMBUJAN GAMAY N O R T H E R N S A M A R LAPINIG SAN SAN ISIDRO VICENTE LOPE DE VEGA LAS NAVAS SILVINO LOBOS JIPAPAD ARTECHE SAN POLICARPIO CALBAYOG CITY MATUGUINAO MASLOG ORAS SANTA GANDARA TAGAPUL-AN MARGARITA DOLORES SAN JOSE DE BUAN SAN JORGE CAN-AVID PAGSANGHAN MOTIONG ALMAGRO TARANGNAN SANTO PARANAS NI-O (WRIGHT) TAFT CITY OF JIABONG CATBALOGAN SULAT MARIPIPI W E S T E R N S A M A R B I L I R A N SAN JULIAN KAWAYAN SAN SEBASTIAN ZUMARRAGA HINABANGAN CULABA ALMERIA CALBIGA E A S T E R N S A M A R NAVAL DARAM CITY OF BORONGAN CAIBIRAN PINABACDAO BILIRAN TALALORA VILLAREAL CALUBIAN CABUCGAYAN SANTA RITA BALANGKAYAN MAYDOLONG SAN BABATNGON ISIDRO BASEY BARUGO LLORENTE LEYTE SAN HERNANI TABANGO MIGUEL CAPOOCAN ALANGALANG MARABUT BALANGIGA TACLOBAN GENERAL TUNGA VILLABA CITY MACARTHUR CARIGARA SALCEDO SANTA LAWAAN QUINAPONDAN MATAG-OB KANANGA JARO FE PALO TANAUAN PASTRANA ORMOC CITY GIPORLOS PALOMPON MERCEDES DAGAMI TABONTABON JULITA TOLOSA GUIUAN ISABEL MERIDA BURAUEN DULAG ALBUERA LA PAZ MAYORGA L E Y T E MACARTHUR JAVIER (BUGHO) CITY OF BAYBAY ABUYOG MAHAPLAG INOPACAN SILAGO HINDANG SOGOD Legend HINUNANGAN HILONGOS BONTOC Response activities LIBAGON Administrative limits HINUNDAYAN BATO per Municipality SAINT BERNARD ANAHAWAN Province boundary MATALOM SAN JUAN TOMAS (CABALIAN) OPPUS Municipality boundary MALITBOG S O U T H E R N L E Y T E Ongoing rehabilitation Ongoing MAASIN CITY activites LILOAN MACROHON PADRE BURGOS SAN 1-30 Planned FRANCISCO SAN 30-60 RICARDO LIMASAWA PINTUYAN 60-90 Data sources:OCHA,Clusters 0 325 K650 975 1,300 1,625 90-121 Kilometers EASTERN VISAYAS:SUMMARY OF REHABILITATION ACTIVITIES AS OF 24th Mar 2014 Early Food Sec.
    [Show full text]
  • Spes Beneficiaries 2018 E
    Republic of the Philippines DEPARTMENT OF LABOR AND EMPLOYMENT Regional Office No. 8 SPES BENEFICIARIES 2018 E. Samar Field Office No. Name of Student Address 1 ANERI, Ma. Lyn P. Brgy. Garden, Arteche, Eastern Samar 2 CALISAY, Ma. Azlie L. Brgy. Rawis, Arteche, Eastern Samar 3 ADENA, Heniekyle P. Brgy. Central, Arteche, Eastern Samar 4 URBANO, Rosario Brgy. Balud, Arteche, Eastern Samar 5 DESPE, Elvin R. Brgy. Rawis, Arteche, Eastern Samar 6 Rexzour D. hirang Brgy. 01, Balangiga, E. Samar 7 Angel Mae C. Amarille Brgy. Cansumangkay, Balangiga, E. Samar 8 Krisley Iris R. Canillas Brgy. 05, Balangiga, E. samar 9 Jonalyn D. Matiga Brgy. Maybunga, Balangiga, E. Samar 10 Vivian Joy D. Morta Brgy. 01, Balangiga, E. Samar 11 Julius A. Abletes Brgy. San Miguel, Balangiga, E. Samar 12 Roxan Faith C. Ramirez Brgy. 01, Balangiga, E. Samar 13 Julius P. Nacionales Brgy. 05, Balangiga, E. Samar 14 Alyssa Mae A. Padul Brgy. Sta. Rosa, Balangiga, E. Samar 15 Shiena Mae L. Cadion Brgy. Sta. Rosa, Balangiga, E. Samar 16 Ivy C. Dado Brgy. Guinmaayohan, Balangiga, E. Samar 17 Marvin A. Docena Brgy. 06, Balangiga, E. Samar 18 Lorenzo E. Deñado, Jr. Brgy. Sta. Rosa, Balangiga, E. Samar 19 Kesselyn P. Abal Brgy. 05, Balangiga, E. Samar 20 Sherilyn B. Selso Brgy. San Miguel, Balangiga, E. Samar 21 Mylene A. Asis Brgy. Sta. Rosa, Balangiga, E. Samar 22 Catherine A. Bajar Brgy. 05, Balangiga, E. Samar 23 Annie Jane A. Alas Brgy. San Miguel, Balangiga, E. Samar 24 Meljhun A. Valdenor Brgy. 06, Balangiga, E. Samar 25 Eriel B.
    [Show full text]
  • Iii Watershed Hydrology Assessment1
    IIL. III L. l1li l WATERSHED HYDROLOGY ASSESSMENT1 . '. .' ..l.. ..l USAID .. *****,. • ..l. - ....... ~ .-l w·· ...- WATERSHED HYDROLOGY ASSESSMENT1 ... ... by REX VICTOR O. CRUZ' Watershed Assessment Specialist November 2000 Samar Island Biodiversity Study (SAMBIO) Resources, Environment and Economics Center for Studies, Inc. (REECS) In association with Orient Integrated Development Consultants, Inc. (OIDCI) Department of Environment and Natural Resources - Region 8 (DENR-8) 1 This publication was made possible through support provided by the U. S. Agency for International Development (USAID) under the terms of Grant No. 492.c..()().()Q..QQ(1..()(). The opinions expressed herein are those of the author and do not necessarily reflect the views of the U. S. Agency for International Development. 2 The author, Dr. Rex Vietor 0 Guz, is the \\'atershed Specialist of SAMBIO, REECS. 13, TABLE OF CONTENTS list of Tables list of Figures ... Executive Summary...•........••.•.•.••..............••..•.•...•.....•.•.•....•.•••.•...••.•••.•....••• vi 1. OBJECTIVES OF THE STUDy........•.••........•••....•.........•............•...•...•. 1 2. METHODOLOGy•..•.......................••...•........•....•...•...........•.•.......•... 1 2.1 Unit of Analysis . 1 2.2 Framework of Analysis . 1 2.3 Key Activities Performed . 2 2.3.1 Collection of secondary data . 3 2.3.2 Collection of primary data . 3 2.3.3 Watershed characterization . 3 2.3.4 Map analysis . 3 2.3.5 Evaluation of soil erosion potentiaL . 3 .... 2.3.6 Evaluation of the potential impacts of management and land use on streamflow : . 4 2.3.7 Identification of areas critical to the protection and .... conservation of soil and water . 4 2.3.8 Identification of appropriate management strategies and land uses . 4 3. RESULTS AND DiSCUSSiON.............•.•.....•.................•...........•.....•._ 4 3.1 The Watersheds of Samar Island .
    [Show full text]
  • Cbmscbmscbmsupdates Vol
    ISSN: 1908-6989 ISSN: 1908-6989 Network CBMSCBMSCBMSUpdates www.pep-net.org Vol. V No. 1, December 2007 The Many Faces of Poverty in Eastern Samar* Henry Afable and Marsmath Baris, Jr.** Cover photo (left): Daily scenes of rural life in the Province of Eastern Samar. (Source: www.batch2006.com) Inside In 2006, the Community-Based Of the total population, about 176,798 or News Updates - Philippines Monitoring System (CBMS) was 51.7 percent are male while 165,032 or CBMS gains foothold in Bicol 8 implemented in Eastern Samar. The 48.3 percent are female. Males outnumber partial results of the CBMS survey their female counterparts with a sex ratio covering 94 percent of the total number of 107.1 males for every 100 females. This of barangays in the whole province (562 is higher than the national sex ratio of out of 597) are now available. This article 101.43 recorded in the 2000 Census on presents a summary of these partial Population and Housing. results. Eastern Visayas LGU reaps Population Profile CBMS core indicators benefits of CBMS 10 Based on the available results, Eastern Table 1 summarizes the list of CBMS core Samar has a population of 341,830 and a indicators for the province of Eastern total of 70,523 households with an Samar. Each indicator is discussed in average of 4.8 persons per household. greater detail in the succeeding paragraphs. Borongan City, the provincial capital, has the largest population in Eastern Samar, Child Deaths contributing 15.0 percent, followed by Of the 49,495 children under five years MIMAROPA RDC sees increased Guiuan (10.9 percent), Oras (7.7 of age, 384 or 0.8 percent died 12 months role of CBMS 11 percent), Llorente (5.3 percent) and Can- before the census period.
    [Show full text]
  • Palapag-Mapanas-Gamay
    \.-7 .- Republic of the Philippines DEPARTMENT OF PUBLIC WORKS AND HIGHWAYS NORTHERI{ SAMAR 2lrD DISTRICT ENGINEERING OFFICE REGIONAL OFFICE t{O. VHI Brgy, Burabud, Laoang, Northern Samar Telephone No./Fax No. 2518254 INVITATION TO BID FOR REMEDIAL MEASURE ON DAMAGED ROAD ALOI{G PAI{GPANG. PALAPAG-MAPANAS-GAMAY-LAPINIG ROAD, CABATUAN-MAGTAON SECTION, KO820+900 The Departsnent of Public works and Highways - Northern Samar Second District Engineering Office, through its Eids and Awards Committee (BAC) invites suppliers to submit bids for the following Contract: Contract ID No. 21Grr0001 Remedial Measure on Damaged Road along Pangpang-Palapag- Contract Name MaDanas-Gamay-Lapiniq Road, Cabatuan-lvaqtaon *ction, K0820+900 Contract Location PalaDao, Northern Samar 1. Installation of additional Four (4) pcs. Reinforced Concrete Pipe Brief Description of Cuivert (RCPC), 910mm diameter (36?) Goods to be Procured 2. Construction of 20 Linear meter Detour, (4.00m x 30.00m) Approved Budget for Pho 499.628.14 the Contract Source of Funds GOP Delivery Date of Goods/Contract 30 Cnlendar Days Durauon Service The BAC is conduding the public bidding for this Contract in accordance with RA 9184 and its Implementing Rules and Regulations. Bidders should have completed, within from the date of submission and receipt of bids, a contract similar to the Project. The description of an eligible bidder is contained in the Bidding Documents, particularty, in Section IV Instrudion to Bidders. To be eligible to bid for this Contract, a supplier must meet the following
    [Show full text]
  • World Bank Document
    39386 Public Disclosure Authorized Paper No. 102 / January 2007 Public Disclosure Authorized Measuring the Costs and Benefits of Community Driven Development: The KALAHI-CIDSS Project, Philippines Public Disclosure Authorized Eduardo Araral Camilla Holmemo Public Disclosure Authorized Summary Findings The main focus of this analysis is the economic impacts of the KALAHI-CIDSS project. It looks at the costs and benefits of seven major subproject (SP) categories that cover 1,175 completed and ongoing subprojects (e.g., domestic water supply [both pump and gravity], roads construction and improvement, elementary school buildings, barangay health centers, and day care centers). These seven major categories accounted for 82 percent of total subproject costs. The main findings from the analysis are: 1. The Project overall is economically beneficial. Based on available information and plausible assumptions, the Project overall will generate a conservatively estimated economic internal rate of return of 21 percent and a net present value of Philippine peso (PHP) 1.03 billion. It is therefore considered economically beneficial. The rates of return for the subprojects ranged from 16 percent for day care centers to 65 percent for water supply projects. These results are conservative, considering that other benefits and subprojects were not examined, including benefits from investments to strengthen community participation and local governance. 2. The Project overall is sensitive to a 20 percent increase in costs and 20 percent benefit reduction, with some subprojects more sensitive than others. For the major subproject categories, we show that rates of return for road improvement and school building subprojects are highly sensitive to a 20 percent increase in costs; they are moderately sensitive for health and day care centers, and are not as sensitive for water supply (gravity and pump) and new road construction.
    [Show full text]
  • M Activities As of 05 January 2013
    PHILIPPINES: Ongoing CCCM activities as of 05 January 2013 Biri 8 IOM/DSWD Laoang IOM/DSWD Lavezares Pambujan IOM/DSWD IOM/DSWD Palapag Rosario IOM/DSWD IOM/DSWD Bobon IOM/DSWD Mapanas Victoria Allen Catubig IOM/DSWD IOM/DSWD Lope de IOM/DSWD IOM/DSWD Vega Gamay Capul IOM/DSWD IOM/DSWD IOM/DSWD Northern Samar Lapinig Silvino Lobos Jipapad IOM/DSWD Catarman San Antonio IOM/DSWD IOM/DSWD IOM/DSWD Arteche IOM/DSWD IOM/DSWD San Isidro Oras IOM/DSWD Maslog IOM/DSWD IOM/DSWD Calbayog Las Navas Eastern Samar San Policarpo City IOM/DSWD IOM/DSWD IOM/DSWD Santa Margarita IOM/DSWD Matuguinao IOM/DSWD Dolores Tagapul-An IOM/DSWD IOM/DSWD Motiong Paranas IOM/DSWD IOM/DSWD Can-Avid IOM/DSWD Gandara IOM/DSWD Samar Santo Nino Masbate IOM/DSWD Sulat Almagro San Hinabangan IOM/DSWD IOM/DSWD Jorge IOM/DSWD IOM/DSWD San Julian Maripipi IOM/DSWD IOM/DSWD Catbalogan Jiabong Almeria City IOM/DSWD Borongan Calbiga Kawayan IOM/DSWD City IOM/DSWD IOM/DSWD IOM/DSWD IOM/DSWD Villareal Daram IOM/DSWD Naval IOM/DSWD Maydolong IOM/DSWD IOM/DSWD Santa Rita Biliran IOM/DSWD Balangkayan Calubian Caibiran IOM/DSWD IOM/DSWD IOM/DSWD Babatngon IOM/DSWD Llorente Biliran IOM/DSWD IOM/DSWD Leyte IOM/DSWD San Isidro Capoocan General IOM/DSWD IOM/DSWD Marabut Macarthur Alangalang IOM/DSWD Basey IOM/DSWD IOM, IOM/DSWD IOM/DSWD Hernani Tabango Barugo San Miguel Tacloban IOM/DSWD m" Salcedo IOM/DSWD IOM/DSWD IOM/DSWD Villaba IOM/DSWD Kananga IOM/DSWD Jaro IOM/DSWD IOM/DSWD Tolosa IOM, Mercedes IOM/DSWD IOM/DSWD Palompon Pastrana Quinapondan IOM, IOM/DSWD IOM/DSWD Lawaan IOM/DSWD
    [Show full text]
  • THE EXPERIENCE from EASTERN SAMAR by Jose Eleazar R
    COASTAL RESOURCES MANAGEMENT: THE EXPERIENCE FROM EASTERN SAMAR by Jose Eleazar R. Bersales Introduction There is a growing body of literature worldwide addressing strategies to manage local marine resources (Pomeroy, 1994). This appeared as a result of the alarming decline of fish catch pointed out by the Food and Agriculture Organization (FAO) and other numerous independent studies (McGoodwin, 1990). At the close of the millennium, we are seeing the effects of decades of unregulated fishing in so many parts of the world. The Philippines has not been spared and suffers from the combined effects of overfishing and the use of illegal fishing gears and techniques. There is, however, a great deal of effort going on in many parts of the country discussing and actually implementing participatory strategies in coastal resources management. In Eastern Samar, the Guiuan Development Foundation, Inc. (GDFI) is concentrating its efforts to implement a community-based management strategy for the area’s coastal ecosystem. This ecosystem is characterized in a 1990 study undertaken by the Philippine Council for Aquatic and Marine Research and Development (PCAMRD) as exhibiting the following main features: • low fish density and abundant species indicating depauperation of reef fish populations; • live coral cover of only 20%; and, • productive areas limited either to deep waters or to reef areas far away from the main islands (FPE, 1992). The bleak picture has been brought about by extensive habitat destruction and heavy fishing pressure. The use of dynamite, sodium, and cyanide to increase fish catch, as well as the destruction of mangrove forests for fuel wood use, have largely contributed to this prevailing condition.
    [Show full text]
  • The Socio-Economic Impact of the Help for Catubig Agricultural Advancement Project (Hcaap)
    [Ocaña *, Vol.7 (Iss.5): May 2019] ISSN- 2350-0530(O), ISSN- 2394-3629(P) DOI: https://doi.org/10.29121/granthaalayah.v7.i5.2019.830 Social THE SOCIO-ECONOMIC IMPACT OF THE HELP FOR CATUBIG AGRICULTURAL ADVANCEMENT PROJECT (HCAAP) Eduardo L. Ocaña Jr. *1 *1 Department of Social Sciences, College of Arts and Communication, University of Eastern Philippines, Catarman, Northern Samar, Philippines 6400 Abstract Development must not only focus on economic growth expressed in rosy figures of GDP and GNP. The economic gains of the rich as expected by economists, must “trickle down” down to the grass roots. It is along this reality that prompted the national government and development planners to look for strategy in which the marginalized which constitute the biggest number of the population in the Third World countries become recipients of development initiatives. Northern Samar, one of the poorest provinces in the Philippines, has been a recipient of the Help for Catubig Agricultural Advancement Project (HCAPP), a project of 5.2 billion yen or 3.4 billion in pesos allocating 2.4 billion pesos alone to irrigate 4, 550 hectares of agricultural lands to spur agricultural development in the Catubig Valley area of Northern Samar. This research aimed to determine the level of socio-economic impact of the HCAAP and related problems. The areas covered by the HCAAP were the Municipalities of Catubig and Las Navas both located in the Catubig Valley. A descriptive-evaluative study, utilized quantitative techniques like survey employing interview schedule for data collection and analyses. The respondents were beneficiaries from Municipality of Catubig, and Las Navas.
    [Show full text]
  • The Mangrove Forests Change and Impacts from Tropical Cyclones in the Philippines Using Time Series Satellite Imagery
    remote sensing Article The Mangrove Forests Change and Impacts from Tropical Cyclones in the Philippines Using Time Series Satellite Imagery Mary Joy C. Buitre 1,2, Hongsheng Zhang 1,3,* and Hui Lin 4 1 Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, N.T. 999077, Hong Kong; [email protected] 2 Philippine Council for Industry, Energy and Emerging Technology Research and Development (PCIEERD), DOST Compound, Taguig 1631, Philippines 3 Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China 4 School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China; [email protected] * Correspondence: [email protected]; Tel.: +852-3943-4195 Received: 3 February 2019; Accepted: 20 March 2019; Published: 22 March 2019 Abstract: The Philippines is rich in mangrove forests, containing 50% of the total mangrove species of the world. However, the vast mangrove areas of the country have declined to about half of its cover in the past century. In the 1970s, action was taken to protect the remaining mangrove forests under a government initiative, recognizing the ecological benefits mangrove forests can bring. Here, we examine two mangrove areas in the Philippines—Coron in Palawan and Balangiga-Lawaan in Eastern Samar over a 30-year period. Sets of Landsat images from 1987 to 2016 were classified and spatially analyzed using four landscape metrics. Additional analyses of the mangrove areas’ spatiotemporal dynamics were conducted. The impact of typhoon landfall on the mangrove areas was also analyzed in a qualitative manner. Spatiotemporal changes indicate that both the Coron and Balangiga-Lawaan mangrove forests, though declared as protected areas, are still suffering from mangrove area loss.
    [Show full text]
  • Food Security and Agriculture Cluster
    Food Security and Agriculture Cluster Typhoon Yolanda - Philippines - Region VIII Lavezares San Jose Palapag Allen Laoang Rosario Mondragon Eastern Samar 3W - December 3, 2013 Catarman Victoria Mapanas Map: San Roque Catubig Region VIII - Eastern Samar 3W Pambujan Bobon San Isidro Location: FSAC Tacloban Lope De Vega Las Navas Jipapad Creation Date: Silvino Lobos 3 December 2013 Arteche San Policarpo Matuguinao Map Summary: Calbayog City This map displays where FSAC partners Oras Maslog have an operational presence in Eastern Samar. Gandara Dolores Municipal Boundary Partner Presence Santa Margarita San Jorge San Jose De Buan Can Avid- CA Pagsanghan Tarangnan Paranas CA, FH, PLAN, PW Taft Catbolagan JAPAN Citysiabong Motiong Sulat San Julian Hinabangan OXFAM, WFP/PLAN Calbiga WFP/PLAN Borongan City Naval Villareal Pinabacdao Calubian WFP/PLAN, ICRC San Isidro Santa Rita Maydolong WFP/PLAN Basey Babatngon Basey Balangkayan San Miquel Llorente WFP/PLAN, PW JAPAN Tabango Leyte Hernani Barugo Tacloban General Macarthur WFP/PLAN Tunga Alangalang Capoocan Carigara Quinapondan Villaba Marabut WFP/PLAN, ICRC Kananga Jaro Santa Fe Lawaan Salcedo Palo Balangiga Palo Giporlos Matag-ob Rastrana Tanauan Mercedes WFP/PLAN, ICRC, CA, Palompon Dagami Tabontabon Ormoc Tolosa Guiuan Merida ICRC, PW ACTED, CA, CARITAS, Julita ICRC, ICRC, WFP/ CA, WFP/ Burauen CRS, GOOD NBRS, ICRC, Albuera Dulag JAPAN, Isabel PLAN PLAN PLAN,ICRC WFP/PLAN PW JAPAN, VIVA, WFP/ PLAN, OXFAM La Paz Mayorga Macarthur Sources: Food Security and Agriculture Cluster Partners, MapAction, OCHA JavierJavier AAbuyogbuyog BayBay City Mahaplag Silago Inopacan Sogod Hindang Hilongos.
    [Show full text]