Chronic Food Insecurity Situation Overview in 71 Provinces of the Philippines 2015-2020
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Distribution and Nesting Density of the Philippine Eagle Pithecophaga
Ibis (2003), 145, 130–135 BlackwellDistribution Science, Ltd and nesting density of the Philippine Eagle Pithecophaga jefferyi on Mindanao Island, Philippines: what do we know after 100 years? GLEN LOVELL L. BUESER,1 KHARINA G. BUESER,1 DONALD S. AFAN,1 DENNIS I. SALVADOR,1 JAMES W. GRIER,1,2* ROBERT S. KENNEDY3 & HECTOR C. MIRANDA, JR1,4 1Philippine Eagle Foundation, VAL Learning Village, Ruby Street, Marfori Heights Subd., Davao City 8000 Philippines 2Department of Biological Sciences, North Dakota State University, Fargo, North Dakota 58105, USA 3Maria Mitchell Association, 4 Vestal Street, Nantucket, MA 02554, USA 4University of the Philippines Mindanao, Bago Oshiro, Davao City 8000 Philippines The Philippine Eagle Pithecophaga jefferyi, first discovered in 1896, is one of the world’s most endangered eagles. It has been reported primarily from only four main islands of the Philippine archipelago. We have studied it extensively for the past three decades. Using data from 1991 to 1998 as best representing the current status of the species on the island of Mindanao, we estimated the mean nearest-neighbour distances between breeding pairs, with remarkably little variation, to be 12.74 km (n = 13 nests plus six pairs without located nests, se = ±0.86 km, range = 8.3–17.5 km). Forest cover within circular plots based on nearest-neighbour pairs, in conjunction with estimates of remaining suitable forest habitat (approximately 14 000 km2), yield estimates of the maximum number of breeding pairs on Mindanao ranging from 82 to 233, depending on how the forest cover is factored into the estimates. The Philippine Eagle Pithecophaga jefferyi is a large insufficient or unreliable data, and inadequately forest raptor considered to be one of the three reported methods. -
Philippine Airlines' Laboratory and Testing Partners for Philippine Domestic Travel
Philippine Airlines’ Laboratory and Testing Partners for Philippine Domestic Travel RAPID TEST AND RT-PCR TEST PARTNER One Health Medical Services, Inc. ADDRESS: OHM Building, Andrews Avenue (beside PAL Gate 1A), MIAA Zone, Pasay City 1300 LANDLINE: (+632) 8938-6680 to 81 MOBILE: (+639) 66-561-7639 E-MAIL: [email protected] RELEASE OF TEST RESULTS: 20 min for Rapid Tests, 24-48 hrs for RT-PCR Tests RT-PCR TEST PARTNERS Cardinal Santos Medical Center Fe Del Mundo Medical Center ADDRESS: 10 Wilson, Greenhills West, San Juan 1502 ADDRESS: 11 Banawe st. Brgy Dona Josefa, Quezon City LANDLINE: (+632) 8724-3997 LANDLINE: (+632) 8712-0845 loc 1903 and 1601 MOBILE: (+639) 49-333-5489 MOBILE: (+639) 17-5583-726 E-MAIL: [email protected] E-MAIL: [email protected] WEBSITE: www.csmceconsult.com WEBSITE: www.fedelmundo.com.ph RELEASE OF TEST RESULTS: 72-120 hrs RELEASE OF TEST RESULTS: 48-72 hrs Kaiser Medical Center New World Diagnostics WEBSITE: https://appointments.kaisermedcenter.com/pal WEBSITE: https://www.nwdi.com.ph/ RELEASE OF TEST RESULTS: 24 hrs RELEASE OF TEST RESULTS: 48-72 hrs (excl. Sun) MAKATI CITY QUEZON CITY ADDRESS: G/F King's Court Building 1, 2129 Don Chino ADDRESS: 205 D. Tuazon Street, Brgy. Maharlika, Roces Avenue, Makati City Quezon City, Philippines LANDLINE: (+632) 8804-9988 LANDLINE: (+632) 8790-8888, local 218 or 225 MOBILE: (+639) 17-577-3886 MOBILE: OIC – Laboratory Manager Gretchen Catli: E-MAIL: [email protected] (+639) 17-530-1143, Sales & Marketing Manager Rio E. Barrozo: (+639) 16-453-5662 MANILA CITY E-MAIL: [email protected], ADDRESS: G/F Robinsons Place Ermita, Manila [email protected] LANDLINE: (+632) 8353-0495 MOBILE: (+639) 17-183-5488 QUEZON CITY E-MAIL: [email protected] ADDRESS: G/F Hipolito Bldg. -
R E G I O N Xi
Republic of the Philippines National Statistics Office R REPORT NO. 1-N E 2010 CENSUS G OF POPULATION I AND HOUSING POPULATION BY PROVINCE O CITY/MUNICIPALITY BARANGAY N DAVAO REGION XI CITATION: National Statistics Office, 2010 Census of Population and Housing Report No. 1-N REGION XI – DAVAO REGION Population by Province, City/Municipality, and Barangay April 2012 ISSN 0117-1453 2010 Census of Population and Housing Report No. 1 – N Population by Province, City/Municipality, and Barangay REGION XI DAVAO REGION REPUBLIC OF THE PHILIPPINES HIS EXCELLENCY PRESIDENT BENIGNO S. AQUINO III NATIONAL STATISTICAL COORDINATION BOARD Honorable Cayetano W. Paderanga Jr. Chairperson NATIONAL STATISTICS OFFICE Carmelita N. Ericta Administrator Paula Monina G. Collado Deputy Administrator Socorro D. Abejo Director III, Household Statistics Department ISSN 0117-1453 FOREWORD The 2010 Census of Population and Housing (2010 CPH) Report No. 1 is one of several publications designed to disseminate the results of the 2010 CPH. This report presents the population by province, city or municipality and barangay based on the 2010 CPH. This information will be useful for the formulation of the social and economic development policies, plans and programs of the Government. These are also important for purposes of the calculation of Internal Revenue Allocation, determination of number of congressional districts, and creation or conversion of various administrative geographic units. The 2010 CPH is the 13th census of population and the 6th census of housing that was conducted in the country since the first census undertaken in 1903. It was designed to take an inventory of the total population and housing units in the country and collect information about their characteristics as of the reference period May 1, 2010. -
Quintin Paredes 1884–1973
H former members 1900–1946 H Quintin Paredes 1884–1973 RESIDENT COMMISSIONER 1935–1938 NACIONALISTA FROM THE PHILIPPINES s the first Resident Commissioner to represent eventually moved to Manila and studied law under the the Philippines after it became a commonwealth direction of another of his brothers, Isidro. He worked during of the United States, Quintin Paredes worked the day, studied at night, and after passing the bar exam, toA revise the economic relationship between his native Paredes briefly took a job with the Filipino government in archipelago and the mainland. Paredes championed Manila before moving to the private sector.4 Paredes married Philippine independence, constantly reminding policymakers Victoria Peralta, and the couple had 10 children.5 of his home’s history as a valuable and vital trading partner. In 1908 Paredes joined the solicitor general’s office In testimony before congressional committees and in in Manila as a prosecuting attorney and rapidly rose to speeches on the floor of the U.S. House of Representatives, the solicitor general post in 1917. The very next year, Paredes countered common misconceptions about Filipinos Paredes accepted the job as attorney general, becoming and worked to place the islands on stable economic footing as the Philippines’ top lawyer. Within two years, he became they moved toward independence. secretary of justice in the cabinet of Governor General One of 10 children, Quintin Paredes was born in the Francis Burton Harrison, a former Member of the U.S. northwestern town of Bangued, in the Philippines’ Abra House of Representatives from New York. President Province, on September 9, 1884, to Juan Felix and Regina Woodrow Wilson nominated Paredes to serve as an Babila Paredes. -
Local Convergence and Industry Roadmaps: Potentials and Challenges in the Region
Local Convergence and Industry Roadmaps: Potentials and Challenges in the Region Dir. Luis G. Banua National Economic and Development Authority Region IV-A 1 Outline of Presentation • Calabarzon Regional Economy • Calabazon Regional Development Plan 2011-2016 Regional Economy Population and Land Area Population as of REGION 2000-2010 Calabarzon - largest May 2010 population among regions Philippines 92,335,113 1.90 NCR 11,855,975 1.78 in 2010, surpassing NCR. CAR 1,616,867 1.70 I 4,748,372 1.23 It is second densely II 3,229,163 1.39 populated among regions III 10,137,737 2.14 - 753 people sqm. IV-A 12,609,803 3.07 IV-B 2,744,671 1.79 V 5,420,411 1.46 Land area - 1,622,861 ha. VI 7,102,438 1.35 VII 6,800,180 1.77 VIII 4,101,322 1.28 IX 3,407,353 1.87 X 4,297,323 2.06 XI 4,468,563 1.97 XII 4,109,571 2.46 CARAGA 2,429,224 1.51 ARMM 3,256,140 1.49 The Calabarzon Region’s share to the GDP is 17.2%, which is second highest next to NCR 1.2 Trillion GRDP Growth Rates by Industry GRDP Growth Rates, 2010-2014 Calabarzon Sectoral Shares to GRDP, 2014 (percent) Source: PSA Strong industry/manufacturing/ commercial sector Total No. of Ecozones in Calabarzon, May 31, 2015 Cavite Laguna Batangas Rizal Quezon Total Manufacturing 9 9 14 - - 32 Agro- 1 - - - 1 2 industrial IT Center 1 1 3 2 - 7 IT Park - 4 - - - 4 Medical - - 1 - - 1 Tourism Tourism - - 1 1 - 2 Total 11 14 19 3 1 48 Source: PEZA Export Sales of all PEZA Enterprises vs. -
Estimation of Local Poverty in the Philippines
Estimation of Local Poverty in the Philippines November 2005 Republika ng Pilipinas PAMBANSANG LUPON SA UGNAYANG PANG-ESTADISTIKA (NATIONAL STATISTICAL COORDINATION BOARD) http://www.nscb.gov.ph in cooperation with The WORLD BANK Estimation of Local Poverty in the Philippines FOREWORD This report is part of the output of the Poverty Mapping Project implemented by the National Statistical Coordination Board (NSCB) with funding assistance from the World Bank ASEM Trust Fund. The methodology employed in the project combined the 2000 Family Income and Expenditure Survey (FIES), 2000 Labor Force Survey (LFS) and 2000 Census of Population and Housing (CPH) to estimate poverty incidence, poverty gap, and poverty severity for the provincial and municipal levels. We acknowledge with thanks the valuable assistance provided by the Project Consultants, Dr. Stephen Haslett and Dr. Geoffrey Jones of the Statistics Research and Consulting Centre, Massey University, New Zealand. Ms. Caridad Araujo, for the assistance in the preliminary preparations for the project; and Dr. Peter Lanjouw of the World Bank for the continued support. The Project Consultants prepared Chapters 1 to 8 of the report with Mr. Joseph M. Addawe, Rey Angelo Millendez, and Amando Patio, Jr. of the NSCB Poverty Team, assisting in the data preparation and modeling. Chapters 9 to 11 were prepared mainly by the NSCB Project Staff after conducting validation workshops in selected provinces of the country and the project’s national dissemination forum. It is hoped that the results of this project will help local communities and policy makers in the formulation of appropriate programs and improvements in the targeting schemes aimed at reducing poverty. -
Province, City, Municipality Total and Barangay Population AURORA
2010 Census of Population and Housing Aurora Total Population by Province, City, Municipality and Barangay: as of May 1, 2010 Province, City, Municipality Total and Barangay Population AURORA 201,233 BALER (Capital) 36,010 Barangay I (Pob.) 717 Barangay II (Pob.) 374 Barangay III (Pob.) 434 Barangay IV (Pob.) 389 Barangay V (Pob.) 1,662 Buhangin 5,057 Calabuanan 3,221 Obligacion 1,135 Pingit 4,989 Reserva 4,064 Sabang 4,829 Suclayin 5,923 Zabali 3,216 CASIGURAN 23,865 Barangay 1 (Pob.) 799 Barangay 2 (Pob.) 665 Barangay 3 (Pob.) 257 Barangay 4 (Pob.) 302 Barangay 5 (Pob.) 432 Barangay 6 (Pob.) 310 Barangay 7 (Pob.) 278 Barangay 8 (Pob.) 601 Calabgan 496 Calangcuasan 1,099 Calantas 1,799 Culat 630 Dibet 971 Esperanza 458 Lual 1,482 Marikit 609 Tabas 1,007 Tinib 765 National Statistics Office 1 2010 Census of Population and Housing Aurora Total Population by Province, City, Municipality and Barangay: as of May 1, 2010 Province, City, Municipality Total and Barangay Population Bianuan 3,440 Cozo 1,618 Dibacong 2,374 Ditinagyan 587 Esteves 1,786 San Ildefonso 1,100 DILASAG 15,683 Diagyan 2,537 Dicabasan 677 Dilaguidi 1,015 Dimaseset 1,408 Diniog 2,331 Lawang 379 Maligaya (Pob.) 1,801 Manggitahan 1,760 Masagana (Pob.) 1,822 Ura 712 Esperanza 1,241 DINALUNGAN 10,988 Abuleg 1,190 Zone I (Pob.) 1,866 Zone II (Pob.) 1,653 Nipoo (Bulo) 896 Dibaraybay 1,283 Ditawini 686 Mapalad 812 Paleg 971 Simbahan 1,631 DINGALAN 23,554 Aplaya 1,619 Butas Na Bato 813 Cabog (Matawe) 3,090 Caragsacan 2,729 National Statistics Office 2 2010 Census of Population and -
(0399912) Establishing Baseline Data for the Conservation of the Critically Endangered Isabela Oriole, Philippines
ORIS Project (0399912) Establishing Baseline Data for the Conservation of the Critically Endangered Isabela Oriole, Philippines Joni T. Acay and Nikki Dyanne C. Realubit In cooperation with: Page | 0 ORIS Project CLP PROJECT ID (0399912) Establishing Baseline Data for the Conservation of the Critically Endangered Isabela Oriole, Philippines PROJECT LOCATION AND DURATION: Luzon Island, Philippines Provinces of Bataan, Quirino, Isabela and Cagayan August 2012-July 2014 PROJECT PARTNERS: ∗ Mabuwaya Foundation Inc., Cabagan, Isabela ∗ Department of Natural Sciences (DNS) and Department of Development Communication and Languages (DDCL), College of Development Communication and Arts & Sciences, ISABELA STATE UNIVERSITY-Cabagan, ∗ Wild Bird Club of the Philippines (WBCP), Manila ∗ Community Environmental and Natural Resources Office (CENRO) Aparri, CENRO Alcala, Provincial Enviroment and Natural Resources Office (PENRO) Cagayan ∗ Protected Area Superintendent (PASu) Northern Sierra Madre Natural Park, CENRO Naguilian, PENRO Isabela ∗ PASu Quirino Protected Landscape, PENRO Quirino ∗ PASu Mariveles Watershed Forest Reserve, PENRO Bataan ∗ Municipalities of Baggao, Gonzaga, San Mariano, Diffun, Limay and Mariveles PROJECT AIM: Generate baseline information for the conservation of the Critically Endangered Isabela Oriole. PROJECT TEAM: Joni Acay, Nikki Dyanne Realubit, Jerwin Baquiran, Machael Acob Volunteers: Vanessa Balacanao, Othniel Cammagay, Reymond Guttierez PROJECT ADDRESS: Mabuwaya Foundation, Inc. Office, CCVPED Building, ISU-Cabagan Campus, -
BSP Holdings 2012 Production ABRA APAYAO BENGUET SAFETY
Mineral Production III. Exports Environmental Protection and Enhancement Program A. Metallic Quantity Value (PhP) Commodity/ Quantity Value (PhP) Value (US$) AEPEP Commitment Gold (Kg) 3,400.69 8,326,807,058.00 Destination Company 2012 Commitment Silver (Kg) 3,680.31 97,288,217.00 A. Gold (kg) 3,080.64 6,998,402,339 412,991,653 (PhP) Copper (DMT) 40,532.00 3,802,572,437.00 China, Japan, Philex Mining Corporation 261,213,336.00 7,482.13 7,398,440.00 London, Canada, SSM-Gold (gms) Lepanto Consolidated Mining Company 106,250,000.00 B. Non-Metallic Switzerland ML Carantes Devt. & Gen. Const. Entp. 308,154.00 Quicklime (MT) 8,884.71 63,616,454.14 B. Silver (kg) 3,660.40 215,133,289.40 10,980,778 Slakelime (MT) 461.11 2,377,603.85 China, Japan, Mountain Rock Aggregates 440,500.00 London, Canada, I. Large Scale Metallic Non-Metallic BC-BAGO 2,111,000.00 Mining Switzerland A. Number of 3 1 C. Copper (DMT) 40,136 3,426,102,554 60,400,939 BC-ACMP 4,802,000.00 Producers Japan Itogon Suyoc Resources, Inc. 1,385,310.00 B. Total Area 1,637.0800 19.09 IV. Sand & Gravel TOTAL 376,113,850.00 Covered (Has.) Province ABRA APAYAO BENGUET C. Employment 4,953 Males 406 Females A. Quantity Produced 35,191 250,318 66,553 D. Local Sales (PhP) (cu.m.) Gold (Kg) 194.52 437,814,493.00 B. Value (PhP) 1,294,911 100,127,312 12,235,927 SAFETY STATISTICS January-December 2012 SSM-Gold (gms) 7,705.13 7,875,105.00 C. -
Chec List Amphibians and Reptiles, Romblon Island
Check List 8(3): 443-462, 2012 © 2012 Check List and Authors Chec List ISSN 1809-127X (available at www.checklist.org.br) Journal of species lists and distribution Amphibians and Reptiles, Romblon Island Group, central PECIES Philippines: Comprehensive herpetofaunal inventory S OF Cameron D. Siler 1*, John C. Swab 1, Carl H. Oliveros 1, Arvin C. Diesmos 2, Leonardo Averia 3, Angel C. ISTS L Alcala 3 and Rafe M. Brown 1 1 University of Kansas, Department of Ecology and Evolutionary Biology, Biodiversity Institute, Lawrence, KS 66045-7561, USA. 2 Philippine National Museum, Zoology Division, Herpetology Section. Rizal Park, Burgos St., Manila, Philippines. 3 Silliman University Angelo King Center for Research and Environmental Management, Dumaguete City, Negros Oriental, Philippines. * Corresponding author. E-mail: [email protected] Abstract: We present results from several recent herpetological surveys in the Romblon Island Group (RIG), Romblon Province, central Philippines. Together with a summary of historical museum records, our data document the occurrence of 55 species of amphibians and reptiles in this small island group. Until the present effort, and despite past studies, observations of evolutionarily distinct amphibian species, including conspicuous, previously known, endemics like the forestherpetological frogs Platymantis diversity lawtoni of the RIGand P.and levigatus their biogeographical and two additional affinities suspected has undescribedremained poorly species understood. of Platymantis We . reportModerate on levels of reptile endemism prevail on these islands, including taxa like the karst forest gecko species Gekko romblon and the newly discovered species G. coi. Although relatively small and less diverse than the surrounding landmasses, the islands of Romblon Province contain remarkable levels of endemism when considered as percentage of the total fauna or per unit landmass area. -
Province of Apayao
! 120°50' 121°0' 121°10' 121°20' 121°30' R E P U B L I C O F T H E P H I L I P P I N E S D E PA R T M E N T O F A G R I C U LT U R E 18°30' BUREAU OF SOILS AND WATER MANAG EMENT 18°30' Elliptical Road,cor.Visa yas Ave.,Diliman,Que zon City SOIL ph MAP ( Key Rice Areas ) PROVINCE OF APAYAO Abulug ! ° SCALE 1 : 100 , 000 0 1 2 4 6 8 10 Kilometers Ballesteros Projection : BallesteTraon!ssverse Mercator ! Datum : Luzon 1911 DISCLAIMER: All political boundaries are not authoritative 18°20' Luna ! 18°20' Santa Marcela ! Province of Ilocos Norte Calanasan ! Pudtol ! Flora ! 18°10' Province of Cagayan 18°10' ! KABUGAO P 18°0' 18°0' LEGEND pH Value GENERAL AREA MAPPING UNIT DESCRIPTION ( 1:1 RATIO ) RATING ha % Nearly Neutral - - > 6.8 or to Extremely Alkaline - - Low - - < 4.5 Extremely Acid - - Moderately Very Strongly - - 4.6 - 5.0 Low Acid - - Moderately 2 ,999 1 0.98 5.1 - 5.5 Strongly Acid Province of Cagayan High 2 ,489 9 .12 Moderately 7 ,474 2 7.37 5.6 - 6.8 High Acid to Slightly Acid 1 4,341 5 2.53 Province of Abra T O T A L 27,303 100.00 17°50' Paddy Irrigated Paddy Non Irrigated 17°50' Arreae aes trimefaeterds b taose tdh oen aacctutuala file aldr seurav esyu, ortvhery inefdor mbyat itohne fr ofmie lDdA -sRuFOr'vs,e MyA t'es,a NmIA. -
Drop-In to Special Education Centers in Bulacan
African Educational Research Journal Vol. 6(4), pp. 250-261, November 2018 DOI: 10.30918/AERJ.64.18.090 ISSN: 2354-2160 Full Length Research Paper Drop-in to special education centers in Bulacan Leonora F. de Jesus College of Education, Bulacan State University, Philippines. Accepted 26 October, 2018 ABSTRACT The 1987 Philippine Constitution corroborated with the Magna Carta for Disabled is giving full support to the improvement of the total well-being of children with special needs (CSN). This is a proof that the government takes appropriate steps to make education accessible to all disabled persons. This study aimed to determine the extent of support the government is giving to students with special needs; in terms of admission, curriculum, teaching strategies, teacher’s training, special equipment and instructional materials, pupils development activities, funding and early interventions. SWOT analysis was used to capture the strength, weaknesses, opportunities and threats in implementation of the Special Education (SPED) Program in twelve SPED centers in Bulacan. The result of the study will provide perspective if mandates are being followed by the authority involved in the program. Thirty five SPED teachers teaching in self-contained classes in the twelve SPED centers in Bulacan were respondents of this study. Sequential explanatory design was used. This is a two phase design where the quantitative data is collected first such as the respondents’ profile and their evaluation to the program; followed by qualitative data collection in SWOT format. The purpose of qualitative results is to further explain and interpret the findings from the quantitative phase. The profile of respondents was treated using frequency counts and percentage while the evaluation on the management of SPED program was analyzed using mean, standard deviation and SWOT analysis.