Agusan Del Norte 2019 Expanded National Nutrition Survey

Total Page:16

File Type:pdf, Size:1020Kb

Agusan Del Norte 2019 Expanded National Nutrition Survey EXPANDED NATIONAL NUTRITION SURVEY: 2019 RESULTS AGUSAN DEL NORTE 2019 EXPANDED NATIONAL NUTRITION SURVEY Overview and Methodology CHARMAINE A. DUANTE Supervising SRS The Department of Science and Technology -Food and Nutrition Research Institute (DOST-FNRI) is the premier Research and Development Institute of the government in food, and nutrition and other S & T services. LEGAL BASIS Executive Order 128 Section 22 The FNRI is mandated to undertake research that defines the citizenry’s nutritional status, with reference particularly to the malnutrition problem, its causes and effects, and identify alternative solutions to them; Executive Order 352 The national nutrition survey is a designated statistical activity that will generate critical data for decision-making of the government and the private sector Designated Statistical Activities • The National Nutrition Survey (NNS) is a comprehensive survey conducted every five years since 1978 and the latest of which is in 2013. • In-between the five-year period, the Updating Survey of Nutritional Status of Children and Other Population Groups is conducted every 2 to 3 years to rapidly assess the nutrition situation of Filipinos. HISTORICAL BACKGROUND 1978 1982 1987 1990 1993 1995 1998 1st NNS 2nd NNS 3rd NNS 1st 4th NNS 2nd 5th NNS Updating Updating Survey Survey 2001 2003 2005 2008 2011 2013 2015 2018-2020 3rd 6th NNS 4th 7th NNS 5th 8th NNS 6th Updating Updating Updating Updating Expanded Survey Survey Survey Survey NNS SURVEY COMPONENTS GOVERNMENT CLINICAL & SOCIO-ECONOMIC PROGRAM ANTHROPOMETRY BIOCHEMICAL DIETARY HEALTH 3 Components in 1978 NNS 9 Components in 2019 ENNS MATERNAL IYCF FOOD SECURITY SAMPLE SIZE 1978 NNS 2018 ENNS 2,800 Households 45,957 Households 17,667 Individuals 159,926 Individuals METHOD OF DATA COLLECTION METHOD OF DATA COLLECTION RESULTS DISSEMINATION The Expanded National Nutrition Survey or ENNS Rationale: Generation of National Nutrition Data • There is a need to generate Nutrition and Health Data Annually at the National Level to cover key health and nutrition indicators for monitoring national programs • To provide official statistics on SDG indicators assigned to FNRI for tracking changes or improvement Rationale: Generation of local level data • To generate reliable estimates for the province and HUCs to be used by local government units (LGUs) and other stakeholders as basis for their development plan. General Objective: To provide empirical data on the nutritional and health status of Filipinos for planning nutrition and development programs, and for timely policy decisions at the national and provincial/HUC levels. Specific Objectives: 1. To assess the physical growth and dimensions of children and other population groups using anthropometric indicators; 2. To assess the nutrition biomarkers of children and other population groups (e.g. hemoglobin, serum retinol, urinary iodine excretion, etc.); Specific Objectives: 3. To determine the following: • the prevalence of non-communicable disease risk factors of 10 years old and above • energy and nutrient intake at the household and individual levels; • the magnitude of food insecurity and coping mechanisms among households; Specific Objectives: 3. To determine the following: • the participation of households and individuals in selected health and nutrition related programs; • feeding practices of infants and young children, 0-23 months; • maternal nutrition and health status among mothers with 0-36 month old children and pregnant women; Specific Objectives: 4. To describe the socio-economic and demographic characteristics of the households and individuals; 5. To evaluate association of different risk factors to nutrition and health status. Specific Objectives: 6. To monitor/ track progress of the achievement of the Sustainable Development Goals (SDGs) designated to FNRI as the data source: SDG 2 (Zero Hunger) SDG 3 (Good Health and Well Being) Baseline Updates Goals/Targets/Indicators Data Source Agency 2015 2018 2019 By 2030, end hunger and ensure access by all people, in particular the poor and people in vulnerable situations, target 2.1 including infants, to safe, nutritious and sufficient food all year round Updating of Nutritional Status of 31.0 Filipino Children and Other Proportion of households meeting 100% 2.1.1.p1 Population Groups, FNRI-DOST recommended energy intake Expanded National Nutrition Survey, 24.2 FNRI-DOST By 2030, end all forms of malnutrition, including achieving, by 2025, the internationally agreed targets on target 2.2 stunting and wasting in children under 5 years of age, and address the nutritional needs of adolescent girls, pregnant and lactating women and older persons Updating of Nutritional Status of Prevalence of stunting (height for age <-2 33.4 Filipino Children and Other standard deviation from the median of the Population Groups, FNRI-DOST 2.2.1 World Health Organization (WHO) Child Growth Standards) among children under Expanded National Nutrition Survey, 30.3 28.8 5 years of age FNRI-DOST Baseline Updates Goals/Targets/Indicators Data Source Agency 2015 2018 2019 By 2030, end all forms of malnutrition, including achieving, by 2025, the internationally agreed targets on stunting target and wasting in children under 5 years of age, and address the nutritional needs of adolescent girls, pregnant and 2.2 lactating women and older persons Prevalence of malnutrition (weight for height >+2 or <-2 standard deviation from the median of the WHO Child 2.2.2 Growth Standards) among children under 5 years of age, by type (wasting and overweight) Prevalence of malnutrition for Updating of Nutritional Status of children under 5 years <-2 SD from 7.1 Filipino Children and Other 2.2.2.1 the median of the WHO CGS Population Groups, FNRI-DOST (wasting) 5.6 5.8 Expanded National Nutrition Survey, FNRI-DOST Prevalence of malnutrition for Updating of Nutritional Status of children under 5 years >+2 SD from 3.9 Filipino Children and Other the median of the WHO CGS Population Groups, FNRI-DOST 2.2.2.2 (overweight) 4.0 2.9 Expanded National Nutrition Survey, FNRI-DOST Baseline Update Goals/Targets/Indicators Data Source Agency 2013 2018 By 2030, end all forms of malnutrition, including achieving, by 2025, the internationally agreed targets on stunting and target 2.2 wasting in children under 5 years of age, and address the nutritional needs of adolescent girls, pregnant and lactating women and older persons 2.2.s1 Prevalence of micronutrient deficiencies (Vitamin A, Iron) 2.2.s1.1 Vitamin A Deficient 6 months to 5 years old 20.4 National Nutrition Survey, FNRI-DOST 16.9 Expanded National Nutrition Survey, FNRI-DOST Pregnant 9.0 National Nutrition Survey, FNRI-DOST 3.2 Expanded National Nutrition Survey, FNRI-DOST Lactating 5.0 National Nutrition Survey, FNRI-DOST 2.3 Expanded National Nutrition Survey, FNRI-DOST 60 years old and up 3.0 National Nutrition Survey, FNRI-DOST 1.1 Expanded National Nutrition Survey, FNRI-DOST Goals/Targets/Indicators Baseline Updates Data Source Agency 2013 2018 2019 target 2.2 By 2030, end all forms of malnutrition, including achieving, by 2025, the internationally agreed targets on stunting and wasting in children under 5 years of age, and address the nutritional needs of adolescent girls, pregnant and lactating women and older persons 2.2.s1.2 Anemia 6 months to 5 13.8 National Nutrition Survey, FNRI-DOST years old 14.3 12.5 Expanded National Nutrition Survey, FNRI-DOST Pregnant 24.6 National Nutrition Survey, FNRI-DOST 26.1 19.9 Expanded National Nutrition Survey, FNRI-DOST Lactating 16.7 National Nutrition Survey, FNRI-DOST 14.4 11.6 Expanded National Nutrition Survey, FNRI-DOST 60 years old 20.8 National Nutrition Survey, FNRI-DOST and up 20.2 16.9 Expanded National Nutrition Survey, FNRI-DOST Baseline Updates Goals/Targets/Indicators Data Source Agency 2015 2018 2019 2.2.s2 Prevalence of exclusively Updating of Nutritional Status of Filipino Children and 48.8 breastfed children 0 to 5 Other Population Groups, FNRI-DOST months old 54.9 57.9 Expanded National Nutrition Survey, FNRI-DOST Baseline Updates Goals/Targets/Indicators Data Source Agency 2015 2018 2019 target Strengthen the implementation of the World Health Organization Framework Convention on Tobacco Control in all 3.a countries, as appropriate. 3.a.1 Age-standardized prevalence of current Updating of Nutritional Status of tobacco use among persons aged 15 22.9 20.6 Filipino Children and Other Population years and older Groups, FNRI-DOST 3.a.s1 Prevalence of current tobacco use Prevalence of current tobacco use of Updating of Nutritional Status of Filipino 10-19.9 years old 5.8 Children and Other Population Groups, NNS, FNRI-DOST Expanded National Nutrition Survey, FNRI- 4.5 3.7 DOST Prevalence of current tobacco use of 20 Updating of Nutritional Status of Filipino years old and over 24.9 Children and Other Population Groups, NNS, FNRI-DOST Expanded National Nutrition Survey, FNRI- 22.3 21.7 DOST What and how are the data collected What and how are the data collected METHOD: Actual data collection Measurement of physical growth (weight and Anthropometry height) and body composition (mid upper arm, waist and hip circumferences) Measures the prevalence of underweight, underheight, thinness, overweight and obesity METHOD: Actual data collection Assesses prevalence of Vitamin A Biochemical Deficiency, Iron Deficiency Anemia and other nutrient deficiencies. Collection of blood and urine samples METHOD: Actual data collection Assesses the prevalence of elevated blood pressure, Clinical and high fasting blood glucose and dyslipidemia, as well as behavioral risk factors such as smoking, alcohol Health consumption, physical inactivity and unhealthy diet. Measurement of blood pressure, collection of blood and face-to-face interview METHOD: Actual data collection Determines the quality and quantity of food and nutrient intakes of households and Dietary individual member of the sample households. One-day food weighing (household) and 24-hour food recall (individual) METHOD: Actual data collection Assesses food security at the Food Security household and individual level as well as coping mechanisms and strategies.
Recommended publications
  • Southern Leyte
    EXPANDED NATIONAL NUTRITION SURVEY: 2019 RESULTS SOUTHERN LEYTE 2019 Expanded National Nutrition Survey Overview and Methodology The Department of Science and Technology -Food and Nutrition Research Institute (DOST-FNRI) is the premier Research and Development Institute of the government in food, and nutrition and other S & T services. LEGAL BASIS Executive Order 128 Section 22 The FNRI is mandated to undertake research that defines the citizenry’s nutritional status, with reference particularly to the malnutrition problem, its causes and effects, and identify alternative solutions to them; Executive Order 352 The national nutrition survey is a designated statistical activity that will generate critical data for decision-making of the government and the private sector Designated Statistical Activities • The National Nutrition Survey (NNS) is a comprehensive survey conducted every five years since 1978 and the latest of which is in 2013. • In-between the five-year period, the Updating Survey of Nutritional Status of Children and Other Population Groups is conducted every 2 to 3 years to rapidly assess the nutrition situation of Filipinos. HISTORICAL BACKGROUND 1978 1982 1987 1990 1993 1995 1998 1st NNS 2nd NNS 3rd NNS 1st 4th NNS 2nd 5th NNS Updating Updating Survey Survey 2001 2003 2005 2008 2011 2013 2015 2018-2020 3rd 6th NNS 4th 7th NNS 5th 8th NNS 6th Updating Updating Updating Updating Expanded Survey Survey Survey Survey NNS SURVEY COMPONENTS GOVERNMEN CLINICAL & SOCIO-ECONOMIC T PROGRAM ANTHROPOMETRY BIOCHEMICAL DIETARY HEALTH 3
    [Show full text]
  • Chronic Food Insecurity Situation Overview in 71 Provinces of the Philippines 2015-2020
    Chronic Food Insecurity Situation Overview in 71 provinces of the Philippines 2015-2020 Key Highlights Summary of Classification Conclusions Summary of Underlying and Limiting Factors Out of the 71 provinces Severe chronic food insecurity (IPC Major factors limiting people from being food analyzed, Lanao del Sur, level 4) is driven by poor food secure are the poor utilization of food in 33 Sulu, Northern Samar consumption quality, quantity and provinces and the access to food in 23 provinces. and Occidental Mindoro high level of chronic undernutrition. Unsustainable livelihood strategies are major are experiencing severe In provinces at IPC level 3, quality of drivers of food insecurity in 32 provinces followed chronic food insecurity food consumption is worse than by recurrent risks in 16 provinces and lack of (IPC Level 4); 48 quantity; and chronic undernutrition financial capital in 17 provinces. provinces are facing is also a major problem. In the provinces at IPC level 3 and 4, the majority moderate chronic food The most chronic food insecure of the population is engaged in unsustainable insecurity (IPC Level 3), people tend to be the landless poor livelihood strategies and vulnerable to seasonal and 19 provinces are households, indigenous people, employment and inadequate income. affected by a mild population engaged in unsustainable Low-value livelihood strategies and high chronic food insecurity livelihood strategies such as farmers, underemployment rate result in high poverty (IPC Level 2). unskilled laborers, forestry workers, incidence particularly in Sulu, Lanao del Sur, Around 64% of the total fishermen etc. that provide Maguindanao, Sarangani, Bukidnon, Zamboanga population is chronically inadequate and often unpredictable del Norte (Mindanao), Northern Samar, Samar food insecure, of which income.
    [Show full text]
  • Second Quarter of 2019 Compared to Its Performance on the Same Period Last Year (Figure 1)
    TABLE OF CONTENTS I. Macroeconomic Performance . 1 Inflation . 1 Consumer Price Index . 1 Purchasing Power of Peso . 2 Labor and Employment . 2 II. Agriculture, Forestry and Fishery Sector Performance . 3 Crops . 3 Palay . 3 Corn . 4 Fruit Crops . 5 Vegetables . 6 Non-food and Industrial and Commercial Crops . 7 Livestock and Poultry . 7 Fishery . 7 Forestry . 8 III. Trade and Industry Services Sector Performance . 9 Business Name Registration . 9 Export . 9 Manufacturing . 10 Mining . 10 IV. Services Sector Performance . 12 Financing . 12 Tourism . 12 Air Transport . 13 Sea Transport . 13 Land Transport . 14 V. Peace and Security . 16 VI. Development Prospects . 18 MACROECONOMIC PERFORMANCE Inflation Rate Figure 1. Inflation Rate, Caraga Region Page 1 The region’s inflation further eased down in the second quarter of 2019 compared to its performance on the same period last year (Figure 1). On the average, the region’s inflation rate declined by 0.9 percentage point to settle at 2.4 percent in Q2 this year from 3.3 percent in the same period last year. The region’s inflation rate continued to slow down from 2.6 percent in April 2019 to 2.0 percent in June 2019, a decrease of 0.6 percentage point between those Source: PSA Caraga periods. This was attributed to the slow price increases in the overall price indices over time Figure 2. Inflation Rate by Province on the region’s basic goods and services, particularly food items and education. The implementation of Republic Act No. 10931, which provides free tuition, essentially reduced the cost of education in the region.
    [Show full text]
  • Region 8 Households Under 4Ps Sorsogon Biri 950
    Philippines: Region 8 Households under 4Ps Sorsogon Biri 950 Lavezares Laoang Palapag Allen 2174 Rosario San Jose 5259 2271 1519 811 1330 San Roque Pambujan Mapanas Victoria Capul 1459 1407 960 1029 Bobon Catarman 909 San Antonio Mondragon Catubig 1946 5978 630 2533 1828 Gamay San Isidro Northern Samar 2112 2308 Lapinig Lope de Vega Las Navas Silvino Lobos 2555 Jipapad 602 San Vicente 844 778 595 992 Arteche 1374 San Policarpo Matuguinao 1135 Calbayog City 853 Oras 11265 2594 Maslog Calbayog Gandara Dolores ! 2804 470 Tagapul-An Santa Margarita San Jose de Buan 2822 729 1934 724 Pagsanghan San Jorge Can-Avid 673 1350 1367 Almagro Tarangnan 788 Santo Nino 2224 1162 Motiong Paranas Taft 1252 2022 Catbalogan City Jiabong 1150 4822 1250 Sulat Maripipi Samar 876 283 San Julian Hinabangan 807 Kawayan San Sebastian 975 822 Culaba 660 659 Zumarraga Almeria Daram 1624 Eastern Samar 486 Biliran 3934 Calbiga Borongan City Naval Caibiran 1639 2790 1821 1056 Villareal Pinabacdao Biliran Cabucgayan Talalora 2454 1433 Calubian 588 951 746 2269 Santa Rita Maydolong 3070 784 Basey Balangkayan Babatngon 3858 617 1923 Leyte Llorente San Miguel Hernani Tabango 3158 Barugo 1411 1542 595 2404 1905 Tacloban City! General Macarthur Capoocan Tunga 7531 Carigara 1056 2476 367 2966 Alangalang Marabut Lawaan Balangiga Villaba 3668 Santa Fe Quinapondan 1508 1271 800 895 2718 Kananga Jaro 997 Salcedo 2987 2548 Palo 1299 Pastrana Giporlos Matag-Ob 2723 1511 902 1180 Leyte Tanauan Mercedes Ormoc City Dagami 2777 326 Palompon 6942 2184 Tolosa 1984 931 Julita Burauen 1091
    [Show full text]
  • Special Release 2019-026 Povstat 1St Sem2019.Pdf
    2018 First Semester Poverty Statistics of Caraga Date of Release: September 2019 Reference No. 2019 - 026 Poverty and Food Thresholds The poverty threshold in Caraga in the first semester of 2018 was estimated at PhP12,314 per capita. This means that a person in the region needed at least PhP12,314 for six months or about PhP2,052 monthly to meet his or her basic food and non-food needs. A family with five members needed no less than PhP10,262 monthly to meet the family’s basic food and non-food needs. This amount was 8.98 percent higher than the poverty threshold in the first semester of 2015. Poverty threshold is the minimum income required to meet the basic food and non-food needs such as clothing, fuel, light and water, housing, rental of occupied dwelling units, transportation and communication, health and education expenses, non-durable furnishing, household operations and personal care and effects. If the income falls below the poverty threshold, the individual or family is considered poor. Table 1. Per Capita Poverty Threshold, Caraga: First Semester 2015 and 2018 First Semester Per Capita Region/Province Poverty Threshold (in PhP) 2015 2018 Caraga 11,299 12,314 Agusan del Norte* 10,119 11,430 Agusan del Sur 11,490 12,095 Surigao del Norte 12,253 13,742 Surigao del Sur 11,361 11,945 Dinagat Islands 12,132 13,177 *Including Butuan City Source: Philippine Statistics Authority, 2018 First Semester Poverty Statistics Surigao del Norte had the highest poverty threshold among the provinces in Caraga with PhP13,742 per person in the first semester of 2018.
    [Show full text]
  • Nepenthes Erucoides (Nepenthaceae), an Ultramaficolous Micro-Endemic from Dinagat Islands Province, Northern Mindanao, Philippines
    Phytotaxa 423 (1): 021–032 ISSN 1179-3155 (print edition) https://www.mapress.com/j/pt/ PHYTOTAXA Copyright © 2019 Magnolia Press Article ISSN 1179-3163 (online edition) https://doi.org/10.11646/phytotaxa.423.1.3 Nepenthes erucoides (Nepenthaceae), an ultramaficolous micro-endemic from Dinagat Islands Province, northern Mindanao, Philippines ALASTAIR S. ROBINSON1,*, SARAH GRACE ZAMUDIO2,3 & ROLLY BALAGON CABALLERO4 1 National Herbarium of Victoria, Royal Botanic Gardens Melbourne, Melbourne, VIC 3004, Australia; e-mail: [email protected] 2 The Graduate School, University of Santo Tomas, España Boulevard, 1015 Manila, Philippines. 3 Research Center for the Natural and Applied Sciences, University of Santo Tomas, España Boulevard, 1015 Manila, Philippines. 4 DENR-PENRO Dinagat Islands, Caraga Region Purok 2, Barangay Santa Cruz, San Jose, Province of Dinagat Islands, Mindanao, Philippines. *Author for correspondence Abstract A new species of Nepenthes—N. erucoides—is described and illustrated from a single ultramafic peak in the Dinagat Islands Province of northeastern Mindanao. It is a distinctive component of a relatively low-elevation, highly biodiverse montane elfin forest that has evolved in association with a particularly thin and extremely hostile substrate. Plant habit, and leaf, inflorescence, indumentum and peristome-column morphology appear superficially similar to those of the ultramaficolous montane species of Palawan, implicating an environmental basis for a syndrome of shared characteristics. Keywords: Philippines,
    [Show full text]
  • Republic Act No. 9355 an Act Creating the Province of Dinagat Islands
    W No. 884 Begun and held in Metro Manila, on Monaay, the twenty-fourth day of July, two thousand six. [REPUBLIC ACT NO. 9355 AN ACT CREATING THE PROVINCE OF DINAGAT ISLANDS Be it enacted by the Senate and House of Represeniaiives of the Philippines in Congress assembled. ARTICLE I GENERALPROVISIONS SECTION1. Title. - This Act shall be known as the "Charter of the Province of Dinagat Islands." SEC.2. Province ofDinugut Islands. - There is hereby created a new province from the present Province of Surigao del Norte to be known as the Province of Dinagat Islands consisting of the municipalities of Basilisa, Cagdianao, Dinagat, Libjo (Albor), Loreto, San Jose and Tubajon with the following boundaries: 2 Bounded on the North, starting from the desolation point is Surigao Strait; on the East by the Philippine Sea; on the South- East by Dinagat sound; on the South by Gaboc Channel and Nonoc Island; on the South-Westby Awasan Bay, Hanigad Island and Hikdop Island; and on the West by Surigao Strait. The geographic positions of four (4) selected outer most points of the main island of the new Province of Dinagat Islands, with latitude and longitude are as follows: SELECTED OUTER MOST POINTS LATITUDE LONGITUDE REMARKS (1) Northernmost Point lO"28'15.6173"125"42'23.5800" Desolation Point (2) Eastem most Point 9"53'37.1G57' 125"42'20.3417" Along Dinagat Sound (3). Southern inmt Point 9"51'12.0722" 125°39151.1G43" Along Gaboe Channel (4) Westernmost Point 10"08'14.3014" 125"28'16.G544" Tungopoint The Province of Dinagat Islands contains an approximate land area of eighty thousand two hundred twelve hectares (80,212 has.) or 802.12 sq.
    [Show full text]
  • June 2015 MPSA 2A.Pdf
    MRMS Report No. 002A Department of Environment and Natural Resources MINES AND GEOSCIENCES BUREAU Mining Tenements Management Division COMPLETE LIST OF EXISTING MINERAL PRODUCTION SHARING AGREEMENT (MPSA ) As of June 30, 2015 Total = 338 Total Area (Hectares) = 601,679.3364 COMMODITY DATE DATE OF Item No. CONTRACTOR MPSA No. CONTACT INFORMATION LOCATION AREA (Has.) (including associated REMARKS APPROVED EXPIRY minerals) 1 Lepanto Consolidated Mining 001-90-CAR Bryan U. Yap- President Mankayan, Benguet 948.9695 Gold and copper 3/19/1990 3/19/2015 Commercial Operation Co. and Far Southeast Gold Lepanto Cons. Mining Co. 21st Flr., Resources Inc. BA-Lepanto Bldg. 8747 Paseo de Roxas, Makati City, Tel No. 815-9447 2 Sinosteel Philippines HY Mining 002-90-X (SMR) Lyonel Ty Tiao Hui - Director Loreto, Dinagat Islands 972.0000 Chromite 1/22/1991 1/22/2016 Development/Commercial Operation in the Corporation (assignment from 6 Araneta Avenue, Quezon City. (Within Parcel III of portion of the contract area covered by Partial JLB Enterprises Inc.) Tel. No. 7151231; 7151035 Surigao Mineral Declaration of Mining Project Feasibility (DMPF) Reservation) which approved on interim basis on April 13,2012 and Exploration in the remaining portion of the contract area. 3 Comet Mining Corp. 003-90-X (SMR) Mario G. Pronstroller - President Loreto, Dinagat Islands 1,296.0000 Chromite 11/14/1991 11/14/2016 With pending Declaration of Mining Project Rm. 603 Ermita Center Bldg. 1350 (Within Parcel III of Feasibility (DMPF). Roxas Blvd., Ermita Manila Tel. No. Surigao Mineral 5219941 Fax - 5260509 Reservation) 4 San Manuel Mining Corp. 004-91-X (SMR) Manuel G.
    [Show full text]
  • SOIL Ph MAP Magsaysay ( Key Rice Areas ) PROVINCE of DINAGAT ISLANDS °
    125°33' 125°43'30" 10°30' 10°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 IIC U LT U R E BUREAU OF SOILS AND WATER MANAGEMENT Elliptical Road Cor. Visayas Ave., Diliman, Quezon City Dahikan SOIL pH MAP Magsaysay ( Key Rice Areas ) PROVINCE OF DINAGAT ISLANDS ° SCALE 1:150,000 0 1 2 3 4 5 6 Kilometers Projection : Transverse Mercator Datum : PRS 1992 Esperanza DISCLAIMER : All political boundaries are not authoritative D A V A O D E L N O R T E P H I L I P P I N E S E A Loreto ! Santiago San Juan Carmen LOCATION MAP 10°20' 10°20' LUZON A E 15° S E Southern T I N Leyte A I R T P S P O I A L G I I R H U S DINAGAT P ISLANDS S U R I G A O S T R A I T 10° VISAYAS 10° Tubajon ! Surigao MINDANAO del Norte 5° 126° 120° 125° M I N D A N A O S E A LEGEND MAPPING pH Value GENERAL AREA DESCRIPTION UNIT ( 1:1 Ratio ) RATING ha % Libjo Nearly Neutral to ! 12 1.02 6.9 and above; Extremely Alkaline, Low 4.5 and below Extremely Acid - - 127 10.82 4.6 - 5.0 Moderately Low Very Strongly Acid 10°10' 214 18.23 10°10' 201 17.12 5.1 - 5.5 Moderately High Strongly Acid 322 27.43 Moderately Acid 174 14.82 5.6 - 6.8 High to Nearly Neutral 124 10.56 TOTAL 1,174 100.00 Paddy Irrigated Paddy Non-Irrigated Area estimated based on actual field survey, other information from DA-RFOs, MAs, NIA Service Area, NAMRIA Land Basilisa Cover (2010) and BSWM Land Use System Map.
    [Show full text]
  • Identification of Storm Surge Vulnerable Areas in the Philippines
    Nat. Hazards Earth Syst. Sci., 15, 1473–1481, 2015 www.nat-hazards-earth-syst-sci.net/15/1473/2015/ doi:10.5194/nhess-15-1473-2015 © Author(s) 2015. CC Attribution 3.0 License. Identification of storm surge vulnerable areas in the Philippines through the simulation of Typhoon Haiyan-induced storm surge levels over historical storm tracks J. P. Lapidez1, J. Tablazon1, L. Dasallas1, L. A. Gonzalo1, K. M. Cabacaba1, M. M. A. Ramos1, J. K. Suarez1, J. Santiago1, A. M. F. Lagmay1,2, and V. Malano3 1Nationwide Operational Assessment of Hazards, Quezon City, Philippines 2National Institute of Geological Sciences, University of the Philippines-Diliman, Quezon City, Philippines 3Philippine Atmospheric, Geophysical and Astronomical Services Administration, Quezon City, Philippines Correspondence to: J. P. Lapidez ([email protected]) Received: 01 October 2014 – Published in Nat. Hazards Earth Syst. Sci. Discuss.: 02 February 2015 Revised: 11 May 2015 – Accepted: 10 June 2015 – Published: 02 July 2015 Abstract. Super Typhoon Haiyan entered the Philippine 1 Introduction Area of Responsibility (PAR) on 7 November 2013, causing tremendous damage to infrastructure and loss of lives mainly The water level oscillations, over and above the predicted as- due to the storm surge and strong winds. Storm surges up tronomical tides in coastal or inland bodies of water, gener- to a height of 7 m were reported in the hardest hit areas. The ated by the wind forcings from an atmospheric weather sys- threat imposed by this kind of natural calamity compelled re-
    [Show full text]
  • Assessment of Climate Change Impacts on Crop Yields in the Philippines
    ASSESSMENT OF CLIMATE CHANGE IMPACTS ON CROP YIELDS IN THE PHILIPPINES FH Bordey, WB Collado, RF Sandoval, and R Espenido 1. INTRODUCTION The Philippines is one of the countries considered to be medium food secure. In 2014, the country had an overall score of 49.4 out of 100 in the Global Food Security Index and is grouped with countries with “moderate environment” based on availability, affordability, and quality and safety of food (EIU, 2014). The country is also improving in terms of eradicating extreme hunger and poverty. According to the Millennium Development Goal Report (UN, 2010), the Philippines was able to reduce the proportion of its population living below $1.25 (PPP) per day from 30.7% in 1991 to 18.4% in 2009. However, the occurrence of climate change and its persistence in the near future could seriously undermine the progress made in achieving food security. The Philippines is particularly vulnerable to impacts of weather-related loss events such as storms, floods, and heat waves. A long-term Global Climate Risk Index from 1994 to 2013 indicated that the Philippines is one of the 10 most affected countries and it ranked first in 2013 (Kreft et al., 2015). Unfortunately, such events are expected to be more frequent and intense given the changing climate. Future climate simulation in the Philippines under the mid-range scenario indicated a rise in annual mean temperature by 0.9 to 1.1°C in 2020 and by 1.8 to 2.2°C in 2050 (PAGASA, 2011). The Philippine Atmospheric, Geophysical and Astronomical 1 Services Administration (PAGASA) further reported the increased likelihood of rainfall reduction during dry months of March to May in most provinces.
    [Show full text]
  • Bringing Fish Catch.Pdf (369.8Kb)
    Bringing Fish Catch to Homes Fresh via Fish Liner or Walkathon: Agusan del Norte, Philippines in Focus Joseph Christopher C. Rayos, Ciara Mae B. Eom, and Cathleen D. Dela Cruz In many rural areas in the Philippines, fresh fish catch does not usually reach the communities and homes because of transportation and accessibility constraints. As a result, the fish catch that comes to rural areas had already been either smoked or pickled or salted or processed in some other ways. Many enterprising sellers, not only the big-time traders but also retailers, have made several attempts to reach the rural communities in the Philippines immediately upon getting their share of fresh fish catch, but these only resulted in heavy competitions to the disadvantage of the retailers or the small-scale vendors who could not easily access the rural areas due to inaccessible road conditions. For this reason, retailers or small-scale vendors Figure 1. Province of Agusan del Norte in Mindanao, Philippines have rethought of the ways on how to reach the rural (Source: Google Map) consuming public in no time, and this paved the way for the conceptualization of the “fish liner” or “walkathon.” Innovation and a showcase of modern Filipino resiliency, a simple motorcycle which is eventually the most convenient transportation that could easily reach the rural areas, has been remodeled into a vehicle for transporting fresh fish for sale. Although “walkathon” refers to a walking marathon, Figure 2. Nile tilapia the locals in Agusan del Norte use it to denote an ingenious (Oreochromis niloticus) means of transporting and vending fresh fish catch.
    [Show full text]