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Table 6. Household Population 5 to 24 Years Old Who Were Attending School at Anytime During School Year 2007 to 2008 by Age Group, Sex, and City/Municipality: 2007 Househld Population 5 to Age Group 24 Years Old Who Were Sex and City/Municipality Attending School at 5 - 9 10- 14 15 - 19 20 - 24 Anytime During School Year 2007 to 2008 LANAO DEL SUR Both Sexes 338,468 105,010 126,169 82,665 24,624 Male 161,508 51,832 60,662 38,187 10,827 Female 176,960 53,178 65,507 44,478 13,797 BACOLOD-KALAWI (BACOLOD GRANDE) Both Sexes 6,361 2,221 2,279 1,462 399 Male 3,170 1,182 1,101 693 194 Female 3,191 1,039 1,178 769 205 BALABAGAN Both Sexes 7,950 2,919 3,387 1,405 239 Male 3,835 1,465 1,598 672 100 Female 4,115 1,454 1,789 733 139 BALINDONG (WATU) Both Sexes 11,901 3,977 4,111 2,910 903 Male 5,811 2,025 2,017 1,371 398 Female 6,090 1,952 2,094 1,539 505 BAYANG Both Sexes 7,611 2,294 2,480 2,016 821 Male 3,670 1,163 1,219 921 367 Female 3,941 1,131 1,261 1,095 454 BINIDAYAN Both Sexes 7,625 2,301 2,780 1,949 595 Male 3,493 1,090 1,294 871 238 Female 4,132 1,211 1,486 1,078 357 BUBONG Both Sexes 6,971 2,259 2,485 1,725 502 Male 3,265 1,105 1,159 791 210 Female 3,706 1,154 1,326 934 292 Table 6. Household Population 5 to 24 Years Old Who Were Attending School at Anytime During School Year 2007 to 2008 by Age Group, Sex, and City/Municipality: 2007 Househld Population 5 to Age Group 24 Years Old Who Were Sex and City/Municipality Attending School at 5 - 9 10- 14 15 - 19 20 - 24 Anytime During School Year 2007 to 2008 BUTIG Both Sexes 5,827 1,891 2,027 1,412 497 Male 2,786 923 1,009 648 206 Female 3,041 968 1,018 764 291 GANASSI Both Sexes 8,040 2,152 3,255 2,172 461 Male 3,907 1,081 1,586 1,054 186 Female 4,133 1,071 1,669 1,118 275 KAPAI Both Sexes 6,606 2,178 2,654 1,582 192 Male 3,181 1,101 1,295 710 75 Female 3,425 1,077 1,359 872 117 LUMBA-BAYABAO (MAGUING) Both Sexes 18,126 5,516 6,195 4,825 1,590 Male 8,770 2,689 3,076 2,299 706 Female 9,356 2,827 3,119 2,526 884 LUMBATAN Both Sexes 7,265 2,000 2,850 1,929 486 Male 3,345 962 1,346 854 183 Female 3,920 1,038 1,504 1,075 303 MADALUM Both Sexes 6,795 2,534 2,568 1,439 254 Male 3,146 1,196 1,182 662 106 Female 3,649 1,338 1,386 777 148 MADAMBA Both Sexes 5,728 1,657 2,220 1,424 427 Male 2,846 825 1,123 705 193 Female 2,882 832 1,097 719 234 MALABANG Both Sexes 11,086 3,316 4,743 2,544 483 Male 5,252 1,603 2,243 1,195 211 Female 5,834 1,713 2,500 1,349 272 Table 6. Household Population 5 to 24 Years Old Who Were Attending School at Anytime During School Year 2007 to 2008 by Age Group, Sex, and City/Municipality: 2007 Househld Population 5 to Age Group 24 Years Old Who Were Sex and City/Municipality Attending School at 5 - 9 10- 14 15 - 19 20 - 24 Anytime During School Year 2007 to 2008 MARANTAO Both Sexes 10,415 3,228 4,117 2,452 618 Male 5,072 1,620 2,036 1,135 281 Female 5,343 1,608 2,081 1,317 337 MARAWI CITY (Capital) Both Sexes 64,024 17,284 21,487 17,985 7,268 Male 30,341 8,626 10,321 8,206 3,188 Female 33,683 8,658 11,166 9,779 4,080 MASIU Both Sexes 10,065 3,499 3,391 2,509 666 Male 4,969 1,781 1,682 1,179 327 Female 5,096 1,718 1,709 1,330 339 MULONDO Both Sexes 4,519 1,369 1,783 1,064 303 Male 2,254 716 925 482 131 Female 2,265 653 858 582 172 PAGAYAWAN (TATARIKAN) Both Sexes 5,223 1,597 2,346 1,103 177 Male 2,269 720 977 503 69 Female 2,954 877 1,369 600 108 PIAGAPO Both Sexes 8,682 3,111 3,406 1,791 374 Male 4,025 1,484 1,653 755 133 Female 4,657 1,627 1,753 1,036 241 POONA BAYABAO (GATA) Both Sexes 6,800 2,467 2,442 1,451 440 Male 3,303 1,219 1,177 707 200 Female 3,497 1,248 1,265 744 240 PUALAS Both Sexes 5,114 1,564 1,732 1,340 478 Male 2,320 764 791 577 188 Female 2,794 800 941 763 290 Table 6. Household Population 5 to 24 Years Old Who Were Attending School at Anytime During School Year 2007 to 2008 by Age Group, Sex, and City/Municipality: 2007 Househld Population 5 to Age Group 24 Years Old Who Were Sex and City/Municipality Attending School at 5 - 9 10- 14 15 - 19 20 - 24 Anytime During School Year 2007 to 2008 DITSAAN-RAMAIN Both Sexes 6,766 2,172 2,566 1,605 423 Male 3,240 1,027 1,243 779 191 Female 3,526 1,145 1,323 826 232 SAGUIARAN Both Sexes 6,630 2,100 2,654 1,485 391 Male 3,181 1,074 1,290 641 176 Female 3,449 1,026 1,364 844 215 TAMPARAN Both Sexes 7,671 2,956 2,579 1,676 460 Male 3,713 1,470 1,238 789 216 Female 3,958 1,486 1,341 887 244 TARAKA Both Sexes 6,464 1,974 2,236 1,690 564 Male 3,182 992 1,116 808 266 Female 3,282 982 1,120 882 298 TUBARAN Both Sexes 6,528 1,354 2,874 1,748 552 Male 2,856 598 1,254 777 227 Female 3,672 756 1,620 971 325 TUGAYA Both Sexes 8,545 2,552 2,983 2,238 772 Male 4,323 1,320 1,511 1,118 374 Female 4,222 1,232 1,472 1,120 398 WAO Both Sexes 11,085 3,896 4,525 2,321 343 Male 5,492 1,942 2,241 1,104 205 Female 5,593 1,954 2,284 1,217 138 MAROGONG Both Sexes 4,843 1,525 2,197 961 160 Male 2,252 682 1,041 458 71 Female 2,591 843 1,156 503 89 Table 6. Household Population 5 to 24 Years Old Who Were Attending School at Anytime During School Year 2007 to 2008 by Age Group, Sex, and City/Municipality: 2007 Househld Population 5 to Age Group 24 Years Old Who Were Sex and City/Municipality Attending School at 5 - 9 10- 14 15 - 19 20 - 24 Anytime During School Year 2007 to 2008 CALANOGAS Both Sexes 4,983 1,544 1,902 1,182 355 Male 2,465 764 968 573 160 Female 2,518 780 934 609 195 BUADIPOSO-BUNTONG Both Sexes 6,141 2,074 2,418 1,371 278 Male 2,798 1,015 1,108 569 106 Female 3,343 1,059 1,310 802 172 MAGUING Both Sexes 8,772 2,612 2,903 2,516 741 Male 4,211 1,292 1,417 1,169 333 Female 4,561 1,320 1,486 1,347 408 PICONG (SULTAN GUMANDER ) Both Sexes 5,131 2,000 2,194 784 153 Male 2,569 1,028 1,104 361 76 Female 2,562 972 1,090 423 77 LUMBAYANAGUE Both Sexes 6,330 1,526 2,197 1,789 818 Male 3,008 730 1,069 823 386 Female 3,322 796 1,128 966 432 BUMBARAN Both Sexes 2,452 960 1,167 292 33 Male 1,191 472 569 137 13 Female 1,261 488 598 155 20 TAGOLOAN II Both Sexes 1,830 502 930 318 80 Male 890 261 445 156 28 Female 940 241 485 162 52 KAPATAGAN Both Sexes 4,197 1,715 1,601 768 113 Male 2,104 893 807 358 46 Female 2,093 822 794 410 67 Table 6. Household Population 5 to 24 Years Old Who Were Attending School at Anytime During School Year 2007 to 2008 by Age Group, Sex, and City/Municipality: 2007 Househld Population 5 to Age Group 24 Years Old Who Were Sex and City/Municipality Attending School at 5 - 9 10- 14 15 - 19 20 - 24 Anytime During School Year 2007 to 2008 SULTAN DUMALONDONG Both Sexes 4,976 1,422 2,405 1,006 143 Male 1,991 578 957 410 46 Female 2,985 844 1,448 596 97 LUMBACA UNAYAN Both Sexes 2,390 792 1,100 426 72 Male 1,012 354 474 167 17 Female 1,378 438 626 259 55.
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    Philippines: Marawi Armed Conflict 3W (Ongoing/Planned Activities) as of 15 February 2018 Food, Agriculture, Livelihood; Non-Food Items; P Cash and Multi-cluster BALOI ALUBIJID/LINAMON CAGAYAN DE ORO CITY Operation Blessing Foundation ECOWEB Inc, UMCOR. OXFAM P Philippines, Inc. P Christian Aid/MuCAARD-UK/FPE/PEF/FSSI/ SEDFI/Mahintana/PhilDHRRA-Mindanao, ILIGAN CITY FAO, MARADECA, Operation Christian Aid, CLEARNet, ECOWEB Inc, Blessing Foundation Philippines, Inc., P JOHANNITER, OXFAM The Moropreneur Inc Christian AId, Lanao Youth Council Christian Aid, FAO, Muslim Aid Phils., Ranao Rescue Team, The Moropreneur Inc, Operation Blessing Foundation UCCP, Lanao District Conference, WFP Philippines, Inc. IMCC, Operation Blessing Foundation Philippines, Inc. BACOLOD/MAGSAYSAY Christian Aid, CLEARNet, CORDAID, Christian Aid ECOWEB Inc., IMDP, IRDT, LAFCCOD- RDRRAC-MIHANDs, OXFAM, WFP KOLAMBUGAN Christian Aid/MuCAARD-UK/FPE/PEF/FSSI/ MARAWI CITY SEDFI/Mahintana/PhilDHRRA-Mindanao Christian Aid, ECOWEB Inc, P OXFAM, World Vision Intl. Christian Aid, LAFCCOD-RDRRAC-MIHANDs LANAO DEL NORTE Action Against Hunger, Christian Aid, FAO, Plan Intl. BALINDONG (WATU) Christian AId P OXFAM Operation Blessing Foundation Christian Aid/MuCAARD-UK/FPE/PEF/FSSI/ Philippines, Inc. SEDFI/Mahintana/PhilDHRRA-Mindanao, MuCAARD KAPAI Christian Aid/MuCAARD-UK/FPE/PEF/FSSI/ SEDFI/Mahintana/PhilDHRRA-Mindanao MADALUM World Food Programme (WFP) Christian Aid LANAO DEL SUR MARANTAO BUBONG P OXFAM P Lutheran World Relief (LWR), OXFAM Plan International, Al-Mujadilah Development Foundation, Inc. World Food Programme (WFP) Ramon Aboitiz Foundation Inc. DITSAAN-RAMAIN BUADIPOSO-BUNTONG P Lutheran World Relief (LWR), OXFAM P Lutheran World Relief (LWR) Ongoing/planned Christian Aid/MuCAARD-UK/FPE/PEF/FSSI/ BALABAGAN/BAYANG/MALABANG activites CARE SEDFI/Mahintana/PhilDHRRA-Mindanao, Ramon Aboitiz Foundation Inc.
  • Spatial Prioritization of REDD+ Sites in the Philippines

    Spatial Prioritization of REDD+ Sites in the Philippines

    Spatial Prioritization of REDD+ sites in the Philippines Stephanie A. Roe Advisor: Dr. Jennifer Swenson Supporting Faculty: Dr. Dean Urban and Dr. Stuart Pimm DUKE UNIVERSITY, NICHOLAS SCHOOL OF THE ENVIRONMENT May 2012 Table of Contents Abstract 2 Introduction 3 Deforestation and REDD+ REDD+ in the Philippines Study overview and objectives Methods 8 Comparative studies Multi-attribute utility theory analysis Objectives Hierarchy, Data, Utility Functions and Weights Geospatial overlay analysis Results 16 Criteria Indicator Maps Spatial prioritization results from MAUT model Utility scores (priority rank) by municipality and province Discussion and Recommendations 23 Conclusion 26 Acknowledgements 27 Appendices 28 References 33 1 Abstract Approximately 13 million hectares of tropical forests are cut down annually, contributing 12-20% of global greenhouse gas emissions. REDD+ (Reduction in Emissions from Deforestation and Degradation) is designed to tackle this challenge by providing economic incentives for conservation, restoration and sustainable management of forests. In addition to emissions reductions, REDD+ also has the capacity to deliver co-benefits including biodiversity conservation and rural development by conserving species-rich forests and providing poor forest communities with alternative livelihoods. The Philippines, a biodiversity hotspot with the seventh highest deforestation rate in the world seeks to maximize these co-benefits during project planning and site selection. The 2010 Philippine National REDD-plus Strategy outlines the rationale for targeting project sites, however, a national-scale spatial prioritization assessment has yet to be conducted. This study performs a multi-attribute utility theory (MAUT) analysis using five environmental and socio-economic indicators (carbon stocks, deforestation rate, biodiversity, indigenous community areas, and poverty incidence).