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Sunflower at Baguio Botanical Garden
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REGIONAL STATISTICAL DEVELOPMENT PROGRAMCORDILLERA ADMINISTRATIVE REGION
2017-2023
Republic of the PhilippinesPhilippine Statistics AuthorityRegional Statistical Services OfficeCordillera Administrative Region
The Cordillera Administrative Region (CAR)Regional Statistical Development Program 2017-2023
is a publication prepared by the Philippine Statistics Authority - Regional Statistical Services Office Cordillera Administrative Region (PSA-RSSO-CAR) in coordination with various agencies and stakeholders
in the Regional Statistical System.
TERMS OF USE AND DISCLAIMERThe PSA-RSSO-CAR reserves its exclusive right to reproduce all its publications in whatever form. Any part of this publication cannot be reproduced, recopied, lent or repackaged for any commercial purposes without written permission from the PSA RSSO CAR. Any part of this publication may only be reproduced for personal or internal use. Should any portion, data or information in this publication be included in a report, paper, article or statement, the title of the publication and the PSA-RSSO-CAR as publisher should be cited as the source. Any information derived from the processing of data contained in this publication
shall not be the responsibility of PSA-RSSO-CAR.
ISSN 2599-3836 (Print Edition)ISSN 2599-3844 (Electronic/PDF Edition)
Published by thePhilippine Statistics Authority
Regional Statistical Services OfficeCordillera Administrative Region
2nd and 3rd Floor CTLL Building, 141 Abanao ExtensionRizal Monument, Baguio City 2600
Philippines
March 2018
The Cordillera Administrative Region (CAR) Regional Statistical Development Program 2017-2023 is available in print and PDF formats and on the PSA website at
rssocar.psa.gov.ph
For inquiries, please contact us at: (074) 442-7449or email us at socd_psacar@yahoo.com
FOREWORD
The CAR Regional Statistical Development Program (RSDP) 2017-2023 sets the medium-term directions, thrusts and priorities for the generation and dissemination of statistical information to be used in policy and decision-making. It includes priority statistical development activities to address the data requirements of our Regional Development Plan 2017-2023 as well as the need to mandate the Sustainable Development Goals (SDG) into required indicators.
With the RSDP, the different data generation agencies will now be guided on the statistics they will produce, the levels of disaggregation including geographic and dimensional characteristics of these statistics as well as the frequency of generation. This hopefully will lead to the production and delivery of timely, relevant, and quality official statistics that are anchored on every Filipino’s right to information.
We commend the Philippine Statistical Authority – CAR for spearheading the formulation of the RSDP. We recognize their commitment in strengthening the sub- national statistical system by gathering inputs from various regional stakeholders to come up with this statistical program.
We thank everyone who collaborated with the PSA-CAR through the Regional Statistical Committee, in crafting this document.
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MESSAGE
The Regional Statistical Development Program (RSDP) is a mechanism for setting the directions, strategies and priorities of the regional statistical system. It defines the priority statistical programs and activities of the region for 2017 to 2023. It is formulated to address the data requirements of the Regional Development Plan (RDP).
The goals of the RSDP 2017 – 2023 of Cordillera Administrative Region are designed to affect the overall development and improvement in the operations of the regional statistical system and address critical information needs of various stakeholders.
The Regional Statistical Development Program (RSDP) 2017 – 2023 of Cordillera Administrative Region is the first ever statistical program for the region. It was a product of collaborative efforts among various stakeholders in the region. It was formulated through a series of consultations with the aim of harmonizing the various statistical activities of government line agencies, local government units, the academe and other government institutions in the region towards a common vision. The RSDP aims to achieve a regional statistical system that is equipped with a greater capacity to provide excellent services and high quality statistical information to effectively and efficiently respond to the data requirements of planning, policy setting and decision making at the subnational level.
The PSA would like to express our sincere appreciation to the support extended by the Regional Statistics Committee –CAR member agencies in the preparation of the RSDP 2017-2023 for the Cordillera region.
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EXECUTIVE SUMMARYThe CAR Regional Statistical Development Program (RSDP) 2017-2023 is a compilation of statistical development programs (SDPs) prepared by government agencies and institutions in the Cordillera. These SDPs set the direction and answer thrusts of the regional statistical system (RSS) to be responsive of the growing statistical information needs of researchers, academic institutions, policy-makers, project implementers and the general public. The statistical programs are aligned to the thrusts on management and coordination, data production, dissemination and use, research and capacity development, and resources of the RSS. The SDPs are further classified using the Classification of Statistical Activities (CSA) by the United Nations Economic Commission for Europe (October 2015 version, rev. 2009). Further, the RSDP serves as a guide in monitoring the core regional indicators which are the region-specific indicators that determine the status of development0 in the region, and the contribution of agencies and local government units in achieving the commitments to sustainable development goals (SDG).
The challenges posed by global concerns on climate change, natural as well as human-induced disasters, threats to peace and security, and other issues equally demand for stronger local statistical system that provides reliable and comprehensive statistical information as gauge to counter these challenges. These concerns make statistical development programs as vital components of the regular local development plans and organizational management plans, and strategic operational plans of government agencies. All calls for the regional government institutions and stakeholders to invest in resources and other inputs for statistical development purposes. The RSDP helps to ensure that the region is on track in achieving these development goals.
The CAR Regional Statistical Development Program (RSDP) 2017-2023 has six chapters that highlight the statistical development thrusts and key priority programs of the region. It underwent review by the Regional Statistics Committee – CAR through workshops and meetings. It includes special chapters on the core regional indicator system (CoRe-IS) for CAR (Chapter V), and the localization of the SDG indicators (Chapter VI) that will guide concerned government agencies, local government units as well as the private entities in coming up with statistical programs and activities for the monitoring the progress and tracking the pace of development in the region. The sustainable development goals aim to end poverty, fight inequality and injustice, and tackle climate change by 2030 and these are laid out in the 17 global goals, 169 targets and 232 indicators. The last two chapters map out the development indicators available in the region and the agencies responsible in the production of these indicators.
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TABLE OF CONTENTS
Page No.
Foreword i
Message ii
RSC Resolution No. 6, series of 2017 iii
RSC Resolution No. 1, series of 2018 v
Executive Summary vii
CHAPTER I INTRODUCTION 1
About RSDP 2
Formulation of the RSDP 3
Strategic Framework 4
Regional Statistical Framework 5
The Organizational Structure and Coordination Framework in the Subnational Statistical System 6
Situational Analysis 9
Reporting, Monitoring and Evaluation 14
Mapping of SDG, CMCI, CORE-IS, and RDP Indicators 15
CHAPTER II MAJOR DEVELOPMENTS 2011-2016 16
CHAPTER III REGIONAL STATISTICAL SYSTEM-WIDE CONCERNS 19
Management and Coordination 20
Data Production 22
Information Management and Dissemination 23
Research and Capacity Development 24
Resources in the RSS 25
CHAPTER IV STATISTICAL DEVELOPMENT PROGRAMS AND ACTIVITIES
26
Demographic and Social Statistics 27
Economic Statistics 32
Environment and Multi-Domain Statistics 38
Page No.
Methodology data collection, processing, dissemination and analysis 42
Strategic and managerial issues of official statistics 44
CHAPTER V CORE REGIONAL INDICATORS SYSTEM (CORE-IS) FOR CAR
46
CHAPTER VI LOCALIZATION OF THE SUSTAINABLE DEVELOPMENT GOALS (SDG) INDICATORS
64
Appendix 1 RSC-CAR Resolutions Passed 138
Appendix 2 RSC-CAR Committee Members 140
Appendix 3 RSC-CAR Technical Working Groups/Task Forces 142
Appendix 4 SOCD PSA-RSSO-CAR Staff 145
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CHAPTERII N T R O D U C T I O N
ABOUT THE RSDPThe CAR Regional Statistical Development Program (RSDP) is the regional/local counterpart of the Philippine Statistical Development Program (PSDP) which sets the directions, thrusts and priorities of the Philippine Statistical System for the generation and dissemination of statistical information used in policy and decision-making at the local level. The RSDP serves as the roadmap for the integration and coordination of statistical activities in the region. It is an instrument for identifying needed interventions and improvements in the statistical system and basis for programming and resource allocation.
The RSDP is a support document of the Regional Development Plan (RDP) as it supplements the statistical data and information needed in the implementation, monitoring and evaluation of programs, the core regional indicators, and the region’s commitment to achieving the Sustainable Development Goals (SDG). Thus, this document can serve as basis for the local executives and regional officials in addressing statistical development concerns by programming and allocating resources for statistical programs and activities in the regular work plans of regional line agencies and local government units.
Finally, with the emerging concerns such as climate change, disasters and emergencies, threats to peace and order, security, and poverty, the RSDP aims to provide reliable statistics that aide in charting and tracking the progress of the region in addressing these challenges. These challenges are critical and require sound statistical framework to be able to realize the vision of a “responsive, effective and efficient regional statistical system that delivers quality statistics, products and services for evidence-based decision and policy-making towards inclusive and sustainable growth of the Cordillera.”
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FORMULATION OF THE RSDP
Program preparation for the RSDP starts at the provincial/local levels where the statistical development programs shall be identified, included and funded and/or to be funded as espoused in the local development plans or local development investment plans (LDIPs).
At the regional level, government agencies, SUCs, CSOs and the private sector shall incorporate statistical development programs and projects in the annual Work and Financial Plans, Strategic and Operational Plans with counterpart funding requirements and resource allocation. The PSA shall provide technical assistance in the preparation of statistical programs of LGUs and RLAs, if called for.
The statistical development programs shall be submitted to the PSA-CAR for compilation and preparation of consolidated RSDP and alignment of program thrusts with the RDP. The RSC-CAR shall review and approve the RSDP for CAR.
Figure 1. Regional Statistical Planning Framework
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STRATEGIC FRAMEWORK
Vision
A responsive, effective and efficient subnational statistical system that delivers quality statistics, products and services for evidence-based decision and policy-making for the inclusive and sustainable growth of the Cordillera.
Mission
Strengthen the statistical planning, data generation and provision of statistical products and services to the public; and enhance the data accessibility and dissemination for effective policy and program formulation of stakeholders.
Goals
RSDP 2017-2023Goals
1 2 3 4 5Improve
generation and delivery of quality statistics
for evidence-based policy-
making, program implementation and monitoring
Increase level of awareness and educate
statistics users on the rational
and optimal use of statistics
Institutionalize an efficient statistical
system and structure at the
regional and provincial/city
levels
Capacitate data producers,
statistics personnel/work force to better produce and
provide timely quality statistics
to data users
Enhance data management
and information dissemination by investing in statistical
resources and upgrading systems,
technology and facilities for statistical
purposes
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REGIONAL STATISTICAL FRAMEWORK
The development of the subnational statistical system (SSS) is critical in order to make the Philippine Statistical System (PSS) more responsive to the statistical needs of the government and the country as a whole. Like the PSS, the structure of the SSS remains decentralized with the statistical activities undertaken by all government offices/units.
The Cordillera region needs strong coordination mechanisms to manage and guide the agencies and local government units in the region in achieving an orderly statistical system that is capable of providing timely, accurate and useful data for the government and the public, especially for planning and decision-making.
Figure 1. Regional Statistical Framework – CAR
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THE ORGANIZATIONAL STRUCTURE AND COORDINATION FRAMEWORK IN THE SUBNATIONAL STATISTICAL SYSTEM
Statistical System
The Subnational Statistical System (SSS) is the government-wide system of providing statistical information and services to the public at the regional and local levels. Data generation activities are undertaken by these organizations either as their primary or secondary function to service the statistical needs of local development planning. Also, part of the system are the personnel therein, the subnational statistical programs and a policy making and coordinating body. This structure of the SSS is patterned on the basic components of the Philippine Statistical System (PSS).
Regional Statistics Committee (RSC)
The Regional Statistics Committee (RSC) is the highest policy-making and coordinating body on statistical matters in the region. The committee aims to strengthen the capability of the SSS in producing and disseminating timely, reliable and relevant data and prescribes appropriate frameworks for the improvement of statistical products, services, and coordination up to the local government unit (LGU) levels. The committee may create task forces/technical working groups to attend to technical issues and problems and set priority on statistical activities. Committee work includes the resolution of issues, formulation/adoption of policies, establishment of linkages among government and non-government agencies and the promotion of statistical awareness among the citizenry. The Philippine Statistics Authority – Regional Statistical Services Office (PSA-RSSO) serves as the technical secretariat of the RSC.
The Cordillera Administrative Region has an established Regional Statistics Committee (RSC) headed by the Regional Director of the National Economic and Development Authority – CAR as Chairperson and the Regional Director of the Philippine Statistics Committee-CAR as the Vice-Chair (PSA Board Resolution No. 5, Series of 2015). The committee is composed of members from the regional line agencies, state universities and colleges, local government units and the private sector. From an initial membership of 28, the RSC-CAR has 33 members as of May 24, 2017 with the issuance of PSA Board Resolution No.3, series of 2017.
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Philippine Statistics Authority (PSA)
The Philippine Statistics Authority (PSA) serves as the central statistical authority of the Phil-ippine government. The PSA conducts statistical surveys on all aspects of socioeconomic life including agriculture, industry, trade, finance, prices, income and expenditure, education, health, culture, and social situations for the use of the local government and the public. The PSA collaborates with regional line agencies in the collection, compilation, maintenance and dissemination of statistical information and coordinates with RLAs and LGUs on the promotion and adoption of statistical standards. The agency is also responsible in carrying out, enforcing and administering civil registration functions and implementing policies on statistical matters.
Regional Line Agencies (RLAs)
The regional line agencies (RLAs) produce respective statistics in line with their agency man-dates. The field offices (city/provincial) generate and collect data and submit these to the re-spective regional offices. In turn, RLAs consolidate these data and submit them to the national offices for further consolidation. For agencies affected by devolution like DA, DSWD, DENR and DOH, the LGUs are expected to submit reports (provincial and municipal) to the RLAs. Many of the statistics produced by RLAs are also compiled by the PSA. One such compilation is the Regional Social and Economic Trends (RSET), a compendium of local level statistics which has proved to be useful for planning and decision-making and for setting policies to-wards effective governance and improved service delivery at the local level.
Local Government Units (LGUs)
The local government units (LGUs) play an important role in the local statistical system. Ex-ecutive and legislative offices provide the budget for statistical activities of the LGUs. They produce and generate data through their administrative reporting system and utilize them with the data from national line agencies in the formulation, implementation and monitoring of their development plans, projects and activities. A significant role of LGUs in the local statistical system is the generation of data on devolved activities. LGUs are beginning to assume great-er responsibility in the formulation of development plans and administration of services such as the social welfare, health programs, agricultural projects, public works and infrastructure, housing and environment-related concerns.
RSC-CAR Resolution No.03, Series of 2017 on the establishment of City/Provincial Statistics Committees (C/PSCs) as provincial counterpart of the RSC-CAR were endorsed to the LGUs for their concurrence. The C/PSCs aim to provide direction and guidance on statistical mat-ters and institute coordinative mechanisms at the local level to resolve any statistical issues; and also, shall serve as clearinghouse for all statistics generated in the cities/provinces. The C/PSCs also serve as forum for the discussion and resolution of statistical issues at the local levels, venues for data dissemination and statistical advocacy activities.
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Academic Institutions
The academe is another key player in the local statistical system. Benguet State University is the only institution in the region offering Bachelor of Science (BS) in Applied Statistics. How-ever, other universities such as University of the Philippines-Baguio, Saint Louis University, and University of the Cordilleras offer BS in Mathematics which is also aligned in producing professional statisticians and contribute significantly to the promotion of the course. These in-stitutions also conduct statistical trainings and researches to improve the skills and potentials of manpower as well as develop statistical techniques and methodologies.
Data Users
Data users are the people who utilize statistics such as planners, researchers, students, investors and policymakers. The various mass media that disseminate statistical information and the general public as audience are also considered as data users.
Data Providers
Data providers are the persons/respondents/clients or institutions from whom the data are being collected by the agencies, either responding censuses and surveys, but also from filling-up administrative forms.
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SITUATIONAL ANALYSIS
The strengths, weaknesses, as well as opportunities and threats of the regional statistical system of CAR are the following:
Table 1. Strengths and Weaknesses
Strengths Weaknesses
1. Established Regional Statistics Committee (RSC) - CAR
2. Strong support of the Regional Development Council (RDC) to the RSC-CAR
3. Some LGUs have established and active Provincial Statistics Committees
4. Strong linkage and coordination between RSC- CAR member agencies and RDC
5. Presence of academic institutions/SUCs offering statistical courses and relevant courses on statistics
6. Existing statistical classifications
1. No focal person for statistics in some agencies
2. Few schools offering statistics courses3. No plantilla positions for statisticians in
some agencies4. Concepts, standards on the compilation
of statistics not harmonized5. No developed indicators at the local
level to monitor the AmBisyon 20406. Limited manpower to respond to
increasing demand of statistics7. Statistical trainings not affordable8. Lack of knowledge and expertise of
personnel on the use of IT infrastructure, statistical programs and softwares
9. High cost and maintenance of IT facilities and softwares
10. Limited manpower of the PSA to address already many and increasing statistical activities
11. Delayed release of data12. Lack of data to support local
development planning, e.g., poverty, employment, income, expenditure, population projection
13. Lack/insufficient data with disaggregation, i.e., by sex, urban/rural classification, geographic, basic sectors
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STRENGTHS
• The region has an established Regional Statistics Committee (RSC) which is tasked to provide direction and guidance to the local statistical development activities at the regional level. The RSC serves as the policy making body on statistical matters and venue for discussion and resolution of statistical issues at the local level. The RSC is a Special Committee under the Regional Development Council.
• Through RSC-CAR Resolution No.03, Series of 2017, the CAR LGUs organized their Provincial/City Statistics Committees C/PSCs as local counterpart of the RSC-CAR. The C/PSCs has the role to direct and guide the LGUs to institute coordinative mechanisms on statistical matters at the local levels, serves as clearinghouse for all statistics generated in the cities/provinces, a forum for the discussion and resolution of statistical issues at the local levels, and venues for data dissemination and statistical advocacy activities.
• The presence of institutions in the region that offer courses and programs on statistics, conduct statistical training and researches is considered strength of CAR. The institutions readily supply competent manpower of professional statisticians to agencies and develop statistics personnel through skills training offered in said institutions. The Benguet State University (BSU) in La Trinidad, Benguet offers Bachelor of Science (BS) in Applied Statistics. The University of the Philippines (UP) Baguio, Saint Louis University (SLU) and University of the Cordilleras (UC) likewise offer Bachelor of Science in Mathematics which produce professional statisticians.
• The existence of statistical classifications developed and adopted by the PSA is considered one of the strengths on statistical development in the region. Uniform standards and classification systems in the generation of official statistics are used and applied to ensure harmonization and comparability of the standards to all classifications used at the local, national and international levels.
WEAKNESSES
• The absence of plantilla positions on statistics in most agencies and LGUs is considered a weakness. The PSA regional offices has limited manpower to respond to data needs of users due to the increasing demand for statistics and at the same time increasing statistical activities. In the region, aside from PSA, the regional offices of the Department of Health, Department of Social Welfare and Development, Department of Interior and Local Government, Department of Education are the only agencies that have statisticians. In the absence of statisticians, agencies and LGUs sough the services of job order or contractual staff employees to assist in statistical works, and designate statistical tasks to the Planning Officers or personnel with at least a background education or basic training on statistics.
• In terms of training, there are available trainings on statistics in local and international venues, but these are not affordable to government agencies and staff, or these types of training were programmed as part of the agency’s regular personnel capacity building. Moreover, statistical programs and softwares are not utilized due to high cost and lack of expertise of personnel to run the software or operate the facility. The timely release of data becomes a challenge. In response to this, the regular quarterly meetings of the RSC-CAR are venues of the PSA-CAR to orient and inform the regional line agencies on the results of surveys and updates on statistical matters. The creation of the PSAI- CAR Chapter and the training activities offered by the PSA-CAR to RSC-CAR member agencies and its technical working groups are also helpful in uplifting the knowledge of regional stakeholders on statistics. Moreover, the annual celebration of the National Statistics Month (NSM) which is supported by RLAs, LGUs, SUCs, and private institutions/organizations is also effective in disseminating important statistical information to the public and advocate the relevance of statistics.
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• There is lack of disaggregated data to support local development planning in the region. The localization of the SDG indicators and the identification of region-specific core regional indicators for CAR by the RSC-CAR is expected to address the increasing need for disaggregated data.
• There is an existing standard classification system, however, not all agencies and LGUs follow or use these standards resulting in the different generation, interpretation and reporting of data. The RSC-CAR and P/CSC meetings conducted provide opportunity for the PSA-CAR to inform and remind the agencies and offices to adopt and use the classification standards in reporting and compiling statistics data.
• Local level indicators to monitor the AmBisyon 2040 or the 25-year long vision for the Philippines needs to be developed. In 2016, the RSC-CAR conducted meetings and workshops to identify the core regional indicators for CAR, as well as the indicators that need to be monitored in attaining the SDGs. The CoRe IS for CAR was approved and adopted during the 3rd Quarter 2017 RSC-CAR Meeting held last August 29, 2017.
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Table 2. Opportunities and Threats
Opportunities Threats1. Increasing demand for disaggregated
data2. Issuance of freedom of Information (FOI)
Law (Availability of data)3. Shift of government system to federalism4. Data users and data providers are in one
forum during meetings5. Increased demand for climate and
disaster related data6. Availability of information technology for
efficient production and dissemination of data
7. Creation of City/Provincial Statistics Committees (C/PSCs)
8. Emerging data requirements (CMCI, HDI, Seal of good governance, etc.)
9. Data revolution and Big data/open data10. Data Privacy Act of 201211. Community-Based Monitoring System
(CBMS) of LGUs12. Local Government Performance
Monitoring System (LGPMS) installed at the local levels
1. Cordillera is a disaster-prone region
2. Labor turnover of statistic personnel
3. Low salaries of statistic personnel
4. Increasing volume of workloads
5. Decrease of manpower (rightsizing of government offices/agencies)
OPPORTUNITIES
• The increasing need for disaggregated data on statistics is considered an opportunity for the subnational statistical system to upgrade statistical services and products for data users.
• The emergence of freedom of information legislation and laws on privacy and data protection are opportunities to improve the local statistical system. Republic Act 10173 otherwise known as the Data Privacy Act of 2012 provides security and protection of personal data to counter privacy concerns with the advances in information technology. Meanwhile, Executive Order No. 02 issued by President Rodrigo Duterte on July 23, 2016 was the first freedom of information (FOI) law in the Philippines covering all government offices under the Executive Branch which requires all executive departments, agencies, bureaus, and offices to make public records, contracts, transactions and any information requested by the public, except for matters affecting national security. The existence of these laws supports all other laws and policies that aim to strengthen the national and subnational statistical system, aside from an administration that is supportive and favorable in the implementation of local statistical development programs.
• The conduct of forums and information dissemination activities on statistics by agencies are opportunities for data users and data providers to obtain firsthand information.
• Prevailing concerns on climate change and disaster-related data demand for more initiatives on statistics and statistical services. This concern is an opportunity as well as a challenge for further improving the quality of statistics and services in the region as CAR is identified as one of the disaster-prone areas in the country.
• At present, the availability of various information technology and internet communication
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infrastructures results to efficient production and dissemination of data. These are complemented with the data revolution and big data/open data that promote openness and accessibility of information to data users.
• The creation of City/Provincial Statistics Committees (C/PSCs) established at the city and provincial levels are likewise an opportunity that addresses statistical concerns at the local or community levels.
• Emerging data requirements for certain development indices such as the Cities and Municipalities Competitiveness Index (CMCI), Human Development Index (HDI), and Transparency Seal on Good Governance of government agencies and local government units is an opportunity to consider in addressing problems on the lack of statistical data.
• The already installed Community-Based Monitoring System (CBMS) of LGUs and the local Government Performance Monitoring System (LGPMS) can be tapped as a tool in monitoring the implementation of statistical programs at the local levels.
THREATS
• The geographical characteristics and weather conditions prevailing in the Cordillera make the region a disaster-prone area. The timeliness of statistical information is a continuing challenge that needs to be addressed by enhancing systems and ways of data generation, reporting and information dissemination.
• A threat to the efficiency of delivering quality statistical products and services is the labor turnover of statistics personnel with statisticians opting to transfer to more appealing work environment with high pay. Also, the increasing demand for statistics comes increasing and voluminous workloads of statisticians. The government’s plan of rightsizing government offices/agencies (House Bill 5707) can address the lack of personnel to undertake statistical works, statisticians, and plantilla positions on statistics in agencies/offices. The program is an advantage to improve and rationalize the delivery of quality and efficient service, support systems and organization structure and staffing of government agencies/offices.
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REPORTING, MONITORING AND EVALUATION (M&E)
Reporting, monitoring and evaluation (M&E) of the RSDP shall be incorporated in the regular reports, and M&E of programs, activities and projects (PAPs) of LGUs, local/provincial offices, and regional line agencies. Accomplishment reports on the enlisted programs shall be provided to the PSA-CAR for consolidation and to be reported to the RSC-CAR. Another mechanism that can be tapped for the reporting of the local statistical programs is the Local Governance Performance Monitoring System (LGPMS) that are already installed in the LGUs. The LGPMS can be an effective tool that strengthens the local level statistical system.
Furthermore, with an effective statistical framework in place, the core regional indicators and SDG regional-level indicators can be easily generated, monitored and tracked.
Figure 3. RSDP Reporting and M&E Framework
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MAPPING OF SDG, CMCI, CORE IS, AND RDP INDICATORS
The diagram above presents the number of indicators that comprise the Sustainable Development Goals (SDG), the Cities and Municipalities Competitiveness Index (CMCI), the Core Regional Indicators System (CoRe-IS), and the Regional Development Plan (RDP), respectively. The diagram also maps the number of indicators that coincide with the indicators of each of the abovementioned systems.
Seven indicators are common to the four systems of indicators. These are: 1.4.1. p4 Net enrollment rate in kindergarten, 1.4.1. p5 Net enrollment rate in elementary education, 1.4.1.p6 Net enrollment rate in secondary education, 1.4.1.p7 Proportion of families with access to safe water supply, 1.4.1.p8 Proportion of population living in household with access to sanitary facility, 7.1.1 Proportion of population with access to electricity, and 8.10.1 (a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machine (ATM) per 100,000 adults.
There are 115 indicators of the Sustainable Development Goals (SDG) classified under Tier 1. Among these, 7 and 38 indicators are similar with those of the CMCI and RDP, respectively. Furthermore, 63 indicators are distinct to the SDG.
The Cities and Municipalities Competitiveness Index (CMCI) are composed of 136 indicators. 7 of which are shared with the SDG whereas 10 indicators are similar with those identified under the Core Regional indicators. There are 112 indicators unique to the CMCI.
The Core Regional Indicators System (CoRe-IS) is made up of a total of 107 indicators. Out of the 107 indicators, 498 are deemed parallel with those under the Regional Development Plan (RDP). CMCI and CoRe-IS share a total of 10 indicators. 41 unique indicators are identified under the CoRe-IS.
The Regional Development Plan (RDP) have 38 and 49 parallel indicators with CoRe-IS and the SDG indicators, respectively.
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CHAPTERIIMAJOR DEVELOPMENTS 2011-2016
MAJOR DEVELOPMENTS 2011-2016
The region has progressively responded to the increasing demand for statistical information at the regional level. Despite scarce human and financial resources for the improvement of its statistical products and services, significant developments in the regional statistical system were still realized.
The continuous advancement and upgrading of information systems and technology in the region resulted to availability of statistical data to a wider audience both locally and abroad through the agency databanks/databases and information systems established, maintained or developed by the different RLAs and LGUs, including the creation and mainstream of their respective webpages/ websites.
Major developments and updates on the statistical system enumerated in this chapter formed part of Chapter 4 on local statistics development of the Philippine Statistical Development Program (PSDP) 2011-2017.
The following are recent developments on statistics-related activities of agencies and LGUs:
A. Management and Coordination• Launching of the National Household Targeting System for Poverty Reduction
(NHTS-PR) • Administration of the Social Welfare and Development Indicators (SWDI) • Preparation of RDC-CAR resolution requesting DBM to validate and complete the
registry system for the basic sector in agriculture for CAR
B. Data Production• Validation of Indigenous Peoples (IPs) • Validation of Social Pension / Modified Conditional Cash Transfer (MCCT) • Validation for Pantawid Program Grievances • Special validation in Baguio City • Implementation of the following systems:
- Business Profile Monitoring System (BPMS) - Database of Business Establishments (DBEst) - Regional Price Monitoring Report System (PMRS) - Bottom-up Budgeting Online Reporting System - Philippine Business Registry System (PBR) - Online Performance Monitoring of the Negosyo Center - e-NGAs and e-Budget System
• Consolidation of the regional statistical reports on: - Production, Sales and Employment Data for Non-metallic Minerals, Sand and Gravel and other Construction materials - Production, Sales and Employment Data for Metallic minerals (Large and small scale) - Sale and Transport minerals/mineral products/by-products for exports - Taxes, fees and royalties paid by permittees - Mining investments - Energy Consumption Report by mining rights holders - Annual Mineral/Resource/Reserve Inventory Report - Monitoring of prices of non-metallic materials
• Compilation of directory of accredited dealers, traders and retailers of minerals and mineral products and directory of mines and quarries
• Compilation of safety statistics
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• Compilation of Environmental Protection and Enhancement Program (EPEP) Expenditures
• Compilation of Social Development and Management Program Utilization (with CDP)
• Monitoring of Social Development Management Program • Submission of BCEZ Economic Reports to DTI-CAR, NEDA-CAR, City Planning
Office – Baguio, PSA-CAR and PMS-NL
C. Data Dissemination and Use
• Posting of the updated statistical information of PEZA • Preparation of the MDG Watch for CAR and its provinces and Baguio City• Release of the following reports and plans:
- City Socio-Economic Situationer Report - Baguio City Statwatch - Comprehensive Land Use Plan (CLUP) - City Development Plan (CDP) - Annual Performance Report (APR) - Full Disclosure of Budget and Finances and Bids and Public Offerings - Annual Investment Plan
D. Research and Capacity Development• Conduct of training on Strengthening Data Information Management using Excel
for municipal population offices (PPDO-Mt. Province)• Conduct of demographic orientation for students (PPDO-Mt. Province)• Conduct of staff training on the pivot database system and knowledge
management (DTI)• Conduct of seminar workshop in the formulation of the Regional Spatial
Development Framework (RSDF) (NEDA)• Conduct of Workshop on Regional Research Agenda Formulation (NEDA)
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CHAPTER IIIREGIONAL STATISTICAL SYSTEM-WIDE CONCERNS
REGIONAL STATISTICAL SYSTEM-WIDE CONCERNS
Significant developments in the regional statistical system were realized despite the inad-equate manpower and financial resources to improve delivery of statistical products and services.
The regional and local agencies upgraded their information systems and technology that resulted to availability of statistical data to a wider audience, both locally and abroad. The databanks/databases, information systems, and webpages/ websites established and main-tained or developed by the different RLAs and LGUs provide quicker access to information and data by the stakeholders and the public as a whole.
1. MANAGEMENT AND COORDINATION OF THE REGIONAL STATISTICAL SYSTEM-WIDE CONCERNS
Institutional mechanisms are essential for the development of an effective and efficient regional statistical development program and/or system. Management and coordination of statistical activities at the local/regional level is crucial in order to generate, produce and disseminate quality, timely and reliable statistics required in the formulation of local development plans and other necessary growth interventions.
Data users, producers and statistics agency stakeholders need to have well-coordinated roles in order to effectively manage the generation and production of statistics, and the dissemination of statistical results and information.
The following are the program priorities on management and coordination:
1.1 Enhancement and strengthening of mechanisms and systems for statistics generation and dissemination by creating statistical structure of the organization and employment of statisticians and statistics practitioners. The Regional Statistics Committee (RSC) – CAR, the highest policy-making and decision-making body in the region, was reconstituted in 2017 following the issuance of PSA Board Resolution 03 last February 14, 2017. RSC-CAR adopted the PSA Resolution and approved additional RSC-CAR members during its 2nd Quarter Meeting last May 24, 2017 with the issuance of RSC-CAR Resolution No.04, Series of 2017. The RSC is composed of the Regional Directors or the official with equivalent rank or the next-in-rank official of regional line agencies (RLAs), State Universities and Colleges (SUCs) and a representative from the private sector. As of May 24, 2017, the RSC-CAR is composed of 33 members and representatives from 23 RLAs, seven City/Provincial Planning and Development Offices (C/PDOs), two SUCs, and one private sector representative. The Regional Statistics Committee (RSCs) is tasked to provide guidance and direction to the regional/local statistical development activities, and serve as policy-making body on statistical issues and matters at the regional level.
1.2 Establishment of partnerships and coordination with local/regional/national government agencies, private organizations and institutions in the implementation of statistical development programs
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To further improve statistical planning and coordination, the RSC-CAR strengthened its membership by including the National Commission on Indigenous Peoples (NCIP), Department of Science and Technology (DOST), Police Regional Office-Cordillera (PROCOR), and the Bureau of Local Government and Finance (BLGF) regional line agencies, and the Northern Luzon Cooperative Education and Development Center (NORLU CEDEC) private sector representative as members.
1.3 Enhancement and strengthening of mechanisms and systems for statistics generation by creating statistical structure of the organization.
Under the RSC-CAR, sub-committees, technical working groups (TWGs) and task forces were established through issuance of Committee Resolutions to address specific regional statistical development concerns:
3.a. Task Force on the Core Regional Indicators System (CoRe-Is) for CAR3.b. Task Force on Sustainable Development Goals (SDG) for CAR3.c. Regional Technical Committee on Survey Design (RTCSD)3.d. National Statistics Month Technical Working Group
1.4 Implementation of effective statistical policies, coordination and monitoring systems of statistical programs and activities at the local levels RSC-CAR Resolution No. 03, series of 2017 was passed last February 27, 2017 encouraging LGUs to establish City/Provincial Statistics Committees (C/PSCs) to replicate the RSC-CAR in the provinces/cities, and shall serve as clearing house for all statistics generated at the local levels.
As of August 25, 2017, Resolutions/Administrative Orders were passed to create C/PSCs in the following LGUs:
1.4.1 Province of Abra1.4.2 Province of Benguet1.4.3 Province of Ifugao1.4.4 Province of Kalinga1.4.5 Province of Mt. Province1.4.6 Baguio City
1.5 Implementation of data quality assessments, monitoring and evaluation systems to ensure progressive improvements of statistics
A Regional Technical Committee on Survey Design (RTCSD) to oversee the local Statistical Survey Review and Clearance System (SSRCS) in the region was organized last August 15, 2016 through RSC-CAR Resolution No.7. The RTCSD is tasked to provide technical advice in the preparation and development of survey designs government censuses and sample surveys to be conducted in the region. The SSRCS aims to ensure the conformity with standards, concepts and classifications, and consequently reliability, comparability and accuracy of statistics generated out of surveys/censuses.
Further, an Administrative Records Review and Clearance System (ARRCS) to eliminate unnecessary duplication and effect economy in statistical data collection, and to ensure that government surveys/ censuses and administrative-based data collection system conform to standard definitions, concepts and classifications are in place, including the System of Designated (SDS) and other statistical standards such as the data quality assurance framework (DQAF), among others.
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2. DATA PRODUCTION
In order to maximize the benefits that only quality statistics can provide, these need to be appreciated and used by data users. Statistical information is best received by the general users when these are timely, clear, concise, comprehensive and comparable statistics that are being delivered. Consequently, evidence-based decisions, policies, projects and programs are made with reference to the results of quality statistics.
The strategic priorities to improve data production are the following:
2.1 Generation of timely, reliable and quality statistics that address information needs of local stakeholders using internationally-recognized statistical standards, systems and methodologies.
Responding to the challenges, the PSA signifies its commitment to release census and survey results to provide on timely, reliable and quality statistics for the public in compliance with international and national statistical standards and classifications systems/frameworks. For instance, the 2016 Gross Regional Domestic Product (GRDP) for CAR was released three months earlier in May 4, 2017 as compared to the previous years where the GRDP results were released every 4th day of July.
2.2 Generation of relevant socio-economic and environmental statistics that will ad-dress the data demands of stakeholders.
In response to the growing demand for statistics on Indigenous Peoples (IP), the importance of migration and agriculture activities as a major concern in the region, the following surveys will be conducted:
a) Listing of Farm Households (LFH) b) National Migration Survey (NMS) c) CAR Philippine Indigenous Peoples Ethnographic Survey (PIPES) d) Environmental statistics thru ENRA
2.3 Utilization of new and updated systems, facilities and technologies to improve gener-ation of statistics and provision of statistical information.
Starting 2017, Computer-Aided Personal Interview (CAPI) with the use of tablet phones was employed in surveys like the Labor Force Survey (LFS), National De-mographic and Health Survey (NDHS), and Listing of Farm Household (LFH) by the PSA. With the CAPI, data are captured in electronic forms for easier collection, transfer, tabulation, processing, and makes data available the soonest.
Utilization of tablet and GIS technology for listing and mapping of building structures, housing units and households in the next Census of Population
3. INFORMATION MANAGEMENT AND DISSEMINATION
Statistical products and services are references for local, national, and international evidence-based policy making and program implementation. Hence, these should be disseminated across all levels.
The strategic priorities to improve statistical dissemination are the following:
3.1 Educate users and advocate importance and relevance of statistics to maximize usage of statistical information.
The month of October was declared as the National Statistics Month pursuant to Presidential Proclamation No. 647 in 1991 in recognition of the importance played by statistics in planning, policy formulation, and decision-making both the government and private sectors.
During the month, there are lined-up activities conducted by different line agencies, academe, and local government units with the aim of (a) promoting, enhancing, and instilling nationwide awareness and appreciation of the importance and value of statistics to the different sectors of society; and (b) eliciting the cooperation and support of the general public in upgrading the quality and standards of statistics in the country.
3.2 Improvement of accessibility, dissemination and communication of statistics through conduct of advocacy activities, statistical appreciation seminars consultative meetings, dissemination fora for the public and the media, conferences, and timely release of statistical reports/articles/press releases.
The intranet /internet and social media are the widely accessible and popularly-used means of obtaining information nowadays and agencies can take advantage of the opportunities made available online. Likewise, most government agencies and organizations have operational websites and databases with updated open data that are available online. Information dissemination forums, press conferences, conventions and other advocacy activities and campaigns are also conducted to disseminate important statistical information to the public.
3.3 Establishment of central facility and integrated portal of statistics available for statistics users.
Data from web portals /databanks are accessible online. Information center/ library which is a one-stop-shop of statistical products and services in place at the PSA office and other partner SUCs, similar with other statistical agencies.
3.4 Fast tracking of data access and transfer through free/ open data sharing of statistical information using interactive online media and internet technology.
Online systems are readily accessible through the internet. The Online Price Monitoring System (OPMS or e-Presyo) of the Department of Trade and Industry (DTI) for example, serves as a price guide for consumers for their grocery and shopping decisions which in turn ensures “value for their money.”
3.5 Implementation of proactive information dissemination, education and advocacy programs and activities to strengthen appreciation on the value, relevance and use of statistics.
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4. RESEARCH AND CAPACITY DEVELOPMENT
Statistical Research and Development (R and D) is a key in developing new innovative methodologies in support of a more effective and efficient data production and dissemination. Further, the availability of human resource who are capable to undertake statistical work complemented with adequate efficient support facilities that aids the workforce in delivering timely, reliable and quality statistics is necessary to accomplish statistical development goals.
Organizations need to invest in the continuous career advancement, training and development programs of employees and statisticians to upgrade the delivery of statistics.
Strategic priorities on statistical capacity development include the following:
4.1 Implement appropriate policies to develop and improve statistical data generation and coordination at the local levels.
The Philippine Statistics Association Incorporation (PSAI) – CAR Chapter was created to promote the importance and contribution of statistics and enhance the capacities of statisticians through trainings and annual statistics convention
4.2 Implementation of proactive information dissemination, education and advocacy programs and activities to strengthen appreciation on the value, relevance and use of statistics.
4.3 Identification of best practices in statistical coordination and mechanism for data collection and generation.
Instituting NSM awards at the local level
Conduct of regional and/or provincial statistical conventions
4.4 Capacitation of statistical workforce, data producers and providers through continuous professional development (CPD) to uplift their level of knowledge on statistics.
Dissemination and promotion of the programs and trainings of the Philippine Statistical Research and Training Institute (PSRTI)
Advocating inclusion of separate budget line items for statistical activities and trainings
4.5 Strengthening the agencies, local government units and institutions by establishing statistical mechanisms, facilities and data generation systems and technologies to enable them to produce and disseminate quality statistics.
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5. RESOURCES IN THE RSS
Statistical programs and activities can be successfully pursued with adequate resources and funding support. Government agencies and offices, local government units, the academe, and the private sector are enjoined to allocate in their annual office/agency budget funds for the implementation of statistical programs and activities.
Statistical capacity is enhances through acquisition of material resources, up-to-date IT equip-ment and adoption of new technology that uplift the level of data management and informa-tion dissemination.
The following are the strategic priorities:
5.1 Integration/inclusion of statistical development activities in planning and budgeting sessions of organizations, agencies, and institutions.
Sit at regional budget forums to advocate/remind agencies to include separate bud-get line items for statistical programs, activities and trainings
5.2 Allocation of funds/budgetary requirements to establish and improve statistical ca-pacity of organizations, agencies and institutions.
Preparation of portfolio of statistical project proposals for funding support, local or foreign access available channels of funding support
5.3 Provision of funding support to human resource development, training, seminars and capacity enhancement programs on statistics.
5.4 Posting/placement/hiring of statisticians, practitioners and experts to do statistics-re-lated tasks.
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CHAPTER
STATISTICAL DEVELOPMENT PROGRAMS AND ACTIVITIES2017-2023
IV
STATISTICAL DEVELOPMENT PROGRAMS AND ACTIVITIES
The Classification of Statistical Activities (CSA) of United Nations Economic Commission for Europe (UNECE) was used to classify the statistical development programs and activities of the region. This was adopted in October 2005 and revised in 2009.
Domains 1 to 3 relate to subject-matter activities, typically resulting in data outputs, but also including methodological work aimed at developing or revising standards, and activities related to technical cooperation or training specific to a subject area. Domains 4 and 5 cover substantive cross-cutting issues which do not relate directly to outputs, but are more process and organizing oriented (e.g. general census or survey methodology, statistical coordination, statistical information systems, etc.).
4.1 DEMOGRAPHIC AND SOCIAL STATISTICS
Social statistics reflect the true social conditions of a region whether social problems or developmental issues. These indicate the social conditions brought about by social programs and social policies being implemented, and/or actions undertaken by the government.
The desired overall sector outcome is the improvement in the human development status of all Cordillerans towards inclusive growth and poverty reduction. This can be achieved through efforts to eradicate or at least reduce extreme poverty and hunger and improve peo-ple’s health and nutrition; education; housing and shelter conditions; social protection; and capacity of human resources.
SCOPE AND COVERAGE
The domain on Demographic and Social Statistics chapter covers the statistical programs and activities on the following:
1. Population and housing statistics2. Civil registration and vital statistics3. Labor and employment statistics4. Education and culture statistics5. Health and nutrition statistics6. Social protection statistics 7. Security, justice and peace statistics8. Governance statistics
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STATISTICAL PROGRAMS AND ACTIVITIES
Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
MANAGEMENT AND COORDINATION1. Regional Data
Reconciliation and Technical Working Group Meeting
To reconcile provincial and regional FHSIS report and to discuss issues arising on the implementation of FH-SIS in the provinces/ city and region.
2017 onwards DOH 150,000
2. Quarterly Meeting on Health Sector Performance Monitoring and Evaluation System (HSPMES)
For planning of activities and discussion of issues on the collection, consolidation and analysis of the HSP
indicators
2017 onwardsQuarterly DOH 40,000 H
DATA PRODUCTION3. Survey on
Level Stakeholders’ Satisfaction with NAPOLCOM Plans, programs and Policy Advisory
Respondents are various ranks among Police Uniformed personnel, pre-deter-mined in the survey guidelines for the
current year.
Last Quarter of the current year
NAPOL COM 150,000
4. 2016 Updating of the List of Establishments
This survey provides the following:1.Updated list of establishments/enterprises with information on their characteristics;2. Distribution of establishments/ enterprises;3. Information on business births and deaths and other business demo-graphic indicators;4. List of emerging industries.
2017 onwardsAnnual PSA 217,146.09 Y Y
5. Annual Survey of the Philippine Business and Industry (ASPBI)
It aims to collect and generate information on the levels, structure, performance and trends of economic activities of the formal sector of the entire country
2017 onwards PSA
6. Labor Force Survey (LFS)
The survey is designed to provide statistics on levels and trends of employment, unemployment and underemployment for the country, as a whole, and for each of the administrative regions, including provinces and key cities
2017 onwardsQuarterly PSA 3,195,779 H Y Y Y
7. Consumer Price Index (CPI)
It contains price level of goods and services that most people buy for day-to-day consumption from 1988 to 1995 (with 1988 as base year), by major commodity group, on national and regional levels. Also reports inflation rates and the purchasing power of the peso. The maiden issue covers 1957 to 1994.
2017 onwardsMonthly PSA H Y Y
8. National Demographic and Health Survey
Designed to provide up-to-date information on population, family planning, and health to assist policymakers and program managers in evaluating and designing strategies for improving health and family planning services in the country
2017 onwards Every 5 years PSA H Y
9. Generation of Vital Statistics form the Civil Registration System
Aims to have a continuous, timely, accurate, consistent and complete registration and reporting of all human beings’ life vital events such as birth, marriage and death in a given population using globally accepted standards
2017onwards DOH H Y Y
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Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
10. Vital StatisticsRecording of births, deaths, marriages and other acts and events concerning civil status of persons
2017onwards PSA H Y Y
11. FLEMMS
Designed to provide a quantitative framework that will serve as basis in the formulation of policies and programs on the improvement of literacy and education status of the population
2013 PSA H Y Y Y
12. Population Census (POPCEN)
Designed primarily to take an inventory of the population of the entire Philippines. It also collects information about some characteristics of the population such as age, sex, marital status, and highest grade completed
2020Every 5 years PSA H Y Y Y
13. 2020 Census of Population and Housing (CPH)
It offers a “snapshot” of the entire population on a specific date, that is, how many people reside within the national borders, who they are, and where they live during such specified date. Also, included are the characteristics of the housing units where they reside.
2020Every 10 years PSA H Y Y Y
14. 2016 Model Functioning Survey (MFS)
This survey provides detailed and nuanced information about how people conduct their lives and the difficulties they encounter regardless of any underlying health condition or impairment
2019 PSA 709,880.00
15. Enhanced Basic Education Information System (EBEIS), Learners Information System (LIS) including Alternative Learning System (ALS)
All education data set requests from other agencies and/or stakeholders 2017 onwards DEPED H Y Y Y
16. CHED Electronic collection and knowledge system (CHECKS)
Profile of Higher Education Institution
June – September
Annual CHED 75,000 Y Y
17. Barangay Skills Needs Survey
Survey conducted at the barangay level to determine the skills needs and preferences of trainees. Serves as inputs for programs to be offered by TVIs
2017 onwards
TESDA 47,000,00018. Unified TVET
program Registration and Accredited System
2017 onwardsmonthly H Y
19. Management Information System/ TESDA Training and Monitoring Information System (T2MIS)
Online database system that includes data on enrollees, graduates, assessed, certified, and employed outputs of the sector
2017 onwardsMonthly TESDA H Y Y Y
20. Seal of Good Local Governance (SGLG)
Compliance and non-compliance of LGUs to various indicators April to October DILG Y Y
21. Full Disclosure Policy (FDP)
The FDP is a transparency mechanism that allows the public to see the LGU financial documents to know how local government budget and spend for public services.
Quarterly DILG Y
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Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
22. CAR Philippine Indigenous Peoples Ethnographies (PIPE)
Aims to generate the basic profile of the indigenous communities in the country
2017-2022 NCIP 15,000,000 H Y Y Y
23. Community-based Monitoring Sys-tem(CBMS)
Tool use to monitor LGU performance on poverty reduction 2015-2018 LGU
Benguet 5,000,000 H
STATISTICAL DISSEMINATION AND USE24. Reproduction and
dissemination of crime prevention flyers
Various crime prevention tips and modus operandi
July – AugustAnnual NAPOL
COM 20,000
25. Reproduction and dissemination of Primer on Police Benefits
Death Benefits and Total Permanent Disability July – August NAPOL
COM 10,000
26. Maintenance of Social Network sites and Regional Gov-ernment Network
Part of the Communication Plan Year Round NAPOLCOM 25,000
27. Maintenance of Online RPFP (Responsible Parenthood and Family Planning) Monitoring System
This serves as database/repository for reached couples during FDS classes, RPFP classes, PMC, and other couples classes conducted in the region. It also maintains records of couples with unmet need for Family Planning and couples served with Family Planning.
2012- up to presentMonthly POPCOM 10,000
28. Quarterly StatwatchA statistical report on finance, health, public order and safety, environment, and infrastructure
Jan – DecQuarterly
LGU – Baguio
City130,000
29. Social Protection Research Forum
Present of findings and recommendations of completed researches along social welfare and development. This is in coordination with different student researchers from the academe
AnnuaL DSWD 25,000 H
RESEARCH AND CAPACITY DEVELOPMENT
30. NAPOLCOM PGS, ISO and CSOP Orientation, Cascading, Review
Regional personnel orientation of Performance Governance System, International Standards Organization, Community and Services Oriented Policing System and cascading to the stakeholders
Orientation – 2017 Cascading
– 2017-2018 Monitoring – 2018-2022
NAPOLCOM 5,400 H
31. Assistance for research activities of the NAPOLCOM Central Office
Research on Criminal Justice, Crime Prevention, Police Management, System and Structure
Per request from Central Office
NAPOLCOM 125,000 M
32. Conduct of a Training-Workshop for Public Elementary and Secondary School Heads on Research
Training-Workshop on developing action and basic research proposals and the use of appropriate statistical tools for Public Elementary and Secondary School Heads
April 18-20, 2017 DEPED 326,739
33. Seminar on Statistics for staff
Seminar – Workshop on Application of Statistics in Records
TBD(once) CHED 50,000
34. Data Management Training for Sustainable Livelihood Program (SLP) Project Development Officers (PDOs)
Discussion of different statistics con-cepts and how to effectively present data through tabular and graphical presentations
March 13-17, 2017 DSWD 94,365.28 H Y Y Y
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Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
35. Advanced data management train-ing for Pantawid Pamilya Staff
Discussion of different statistics concepts and how to effectively present data through tabular and graphical presentations
April 4-6, 2017 DSWD 80,000 H Y Y Y
36. Valuation of Baguio City’s Cultural Heri-tage Resources
2018-2019 UP CSC
37. Reinforcement of NCIP-CAR ICT
The region has installed ICT infra at the different NCIP offices; and has created a website. The office needs to form a Communication Team to aid the ICT Focal Point and the Information Officer. The team should take charge in developing a system or a Communication Plan particularly in the management of the website and in coming up with reporting system of the Office.
2017-2022 NCIP 50,000
38. Training on ICD 10 for Non-Coders
The objective of the training is to equip health workers with the ICD – 10 structures and principles for the coding of diseases in the morbidity and mortality data
2018 DOH 175, 500
39. Training on Effec-tive Presentation of Statistical Report
To train program managers on the mechanics of preparing concise and clear statistical reports using computer software applications and how to make effective presentation for various types of audience.
2018 DOH TBD
40. Attendance to Statistics conven-tion, trainings and forums
For increased in knowledge of the personnel and know updates on Statistics
2017 – 2022 DOH TBD
41. Tracer Study on Employability of TVET Graduates
Survey done to determine the employability if TVET graduates and the skills utilization rate of programs attended by respondents.
Annual TESDA c/o CO
42. ARTA – Report Card Survey
A survey being conducted by CSC to identified agencies in the implementation of ARTA. It will assess the agency’s processes and systems in promoting transparency and efficiency.
January to De-cember 2017
Semestral CSC 129,640
43. Statistics Training
Introduction to the wide range of techniques available for statistical forecasting. Qualitative techniques, smoothing and decomposition of time series, regression, adaptive methods, autoregressive-moving average modelling
2017-2018 MGB proposed
4.2 ECONOMIC STATISTICS
Economic statistics provide the status and the direction of the regional economy. Through statistics, politicians and stakeholders involved in decision and policy formulation processes are able to assist and support the region by identifying and implementing program interven-tions to improve and sustain the economy with the end goal to eradicate poverty.
SCOPE AND COVERAGE
This domain focuses on information on the following specific sub-sectors under the economic sector specified in the UN Standard Classification of Statistical Activities.
1. Macroeconomic accounts and statistics 2. Industry, trade, services and investment statistics 3. Energy, gas and water statistics 4. Transport and infrastructure statistics 5. Tourism statistics 6. Monetary, price and financial statistics 7. Science and technology, and innovation statistics
STATISTICAL PROGRAMS AND ACTIVITIES
Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
MANAGEMENT AND COORDINATION
1. Roll-out of the Enhanced Client Profile and Monitoring System (e-CPMS)
CPMS is an online database system where the DTI-Provincial Offices will encode data of the assisted SMEs and potential entrepreneurs. Due to intermittent internet connection, system was inaccessible in most regions and did not gain the full support of the regions.
e-CPMS is a user-friendly and redesigned to be both an offline and online system using a modular approach to encode/ update information. It is designed to supplement the NCPMR.
Test run Q3 2017 DTI
15,000 (roll-out)
140,000 (7 CoS @
P10, 000* 2 mos.)
H Y
2. Full adoption of the Local Tourism Statistics System (LTSS) by the Local Government Units (Municipal level) Policy
The LGU Municipal level to consis-tently collect, record and submit as input to their Provincial data and subsequently submitted to DOT on a regular basis.
DOT to capacitate the Tourism Officer/ designated Statistician in the LTSS
Monthly/ Quarterly DOT
500,000annually H
DATA PRODUCTION3. Negosyo Center
Project Manage-ment Report (NCPMR)
NCPMR is an online database system that records all the assistances for the MSMEs under the Negosyo Center
Monthly (2017), Annual (2015
onwards)DTI Head Office
funded High Y Y
4. Business Permits and Licensing System (BPLS)
It is a DTI program, together with the DILG, that promotes investments and enhances competitiveness by ensuring ease of doing business in the region. This is a system that monitors the compliance of LGUs to their simplifi-cation of business permitting process. Two surveys are done every year to
2012 onwards Annual DTI
200,000 (for the
Field M&E Survey)
High Y
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Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
validate the compliance of LGUs: Customer Experience Survey and Field Monitoring and Evaluation Survey.
5. Philippine Business Registry System (PBR)
The PBR is a web-based system which will facilitate a seamless transactional environment for business registration across the application systems of all agencies engaged in business registration-related transactions.
Monthly 2012 onwards DTI Head Office
funded Y
6. Online Price Monitoring System (OPMS or e-Presyo)
“e-Presyo” is the Online Price Monitoring System of the DTI where consumers can check the prevailing prices of basic necessities and prime commodities that are being monitored by the DTI. It serves as a price guide for consumers in doing their grocery shopping which in turn ensures “value for money.”
Monthly except Baguio and
Benguet (weekly) 2016 onwards
DTI Head Office Funded
7. Industry Cluster Project
Project focuses on the priority Industry Clusters of DTI-CAR: Coffee, Wearables and Homestyles, Processed Fruits and Nuts, Bamboo and Cacao.This project aims to prepare industry profile or ituationer for the NCR stakeholders of the five identified industry clusters, develop the value chain map of the mentioned industries and identify the possible interventions or assistance to contribute to the inclusive growth of employment, income, and investment generation.
Q4 2017 to 2018 (Updating of
2015 Profiles)DTI
150,000(A Service Provider may be hired to
update the IC profiles)
8. Economic Zone Monitoring Performance Reports
Summarize submitted reports of locatorsData includes Exports, Employment, Salaries & Wages, Investments
Monthly, Qtr, Semi-Annual,
Annual2017 onwards
PEZA N/A H Y Y Y
9. Communication Plan for Minerals Development-Sta-tistical Reporting System
This consolidates the reports of mining companies and permittees of Local Government Unit of the Environment and Natural Resources Office (LGU-ENRO) of the provinces of CAR to the DENR Statistical Reporting System (SRS) Forms No. 1,2,3,4, 5 and 6.
MGB Form 29-18-Energy Consumption Report; MGB-Form 29-16-Integrated Annual Report; Investment Report; Annual Report on Taxes; Directory of Mines and Quarries.
2017-2022 MGB 66,000 H Y Y Y
10. Mineral Resources and Geosciences Reports
Consolidation of reports for submis-sion to MGB-CO- Mining Tenements Statistics Report (MTSR); Safety, Health, Environment and Social De-velopment (SHES) Database; Mineral Resources/Reserve Reports; Mining Tenement Statistical Report: Inventory of Foreign/Alien Workers
2017-2022 MGB Y
11. Convergence program under DOT and DPWH
13 road projects to boost eco-tourism in the region 2017 on-wards DPWH 1,205,000
Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
12. GRDP Estimation
It measures the economic perfor-mance of a region. It covers the value of goods and services produced in the region.
2017 onwardsAnnual PSA H Y Y Y
13. Backyard and Com-mercial Livestock Poultry Survey (BLPS)
The B/CLPS aims to generate primary data on inventory/population and supply and disposition of animals from backyard farms
2017 on-wards PSA H Y
14. Crops Production Survey
The Crops Production Survey aims to generate basic production statistics for crops other than palay and corn at the national, regional and provincial levels
2017 onwards PSA H Y Y
15. Farm Price Survey
The monthly FPS collects prices of crops and backyard livestock and poultry commodities at the first point of sale, which is conducted during the last ten days of the month.
2017 on-wards PSA H
16. Monthly Palay and Corn Situation Report (MPCSR)
The MPCSR is a monthly follow-up survey to monitor palay and corn situation and update of PCPS forecasts.
2017 on-wards PSA H
17. Fishery Production Survey
It aims to generate data on volume and value of fish catch, aquaculture production and value by aquafarm type, by species, by quarter at the national, regional and provincial levels.
2017 on-wards PSA H
18. Palay and Corn Production Survey (PCPS)
Aims to generate estimates and forecasts on Palay areas, production and yield to serve as inputs for policy and programs on rice.
2017 on-wards PSA H
19. Palay and Corn Stock Survey
The general purpose of Palay and Corn Stock Survey of households is to gather information on the current level of stock being maintained by farming and non-farming households as of the first day of the month
2017 on-wards PSA H
20. Survey on Information and Communication Survey (SICT)
It aims to collect and generate information on the availability, distribution and access/utilization of ICT among establishment in the country.
2017 on-wards PSA
21. Foreign Trade Statistics
It contains summary and detailed statistical tables on foreign trade
2017 onwardsannual PSA H Y Y
22. Consumer Price Index (CPI)
It contains price level of goods and services that most people buy for day-to-day consumption from 1988 to 1995 (with 1988 as base year), by major commodity group, on national and regional levels. Also reports inflation rates and the purchasing power of the peso. The maiden issue covers 1957 to 1994.
2017 onwardsMonthly PSA H Y Y Y Y
23. Household Survey on Domestic Visi-tors (HSDV)
It aims to gather data ondomestic and outbound travelsfor policymaking purposes 2019 on-wards PSA 550,194.95
24. Feasibility study preparation
It covers agricultural prod-ucts, etc. under the DA PRDP and CHARMP. Disseminated through clients.
Project-based LGU-Mt. Prov
25. Status report of Irrigation development
Annual 2017 NIA Y
26. Annual Inventory of NIS/CIS Annual 2017 NIA
34 | Page
Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
27. Conduct of Business Expectations Survey
Generates indications of overall business sentiment and prospects/outlook
Quarterly continuing BSP
c/o BSP Manila, De-partment of Economic Statistics
H
28. Compendium on Science and Technology
A national survey that aims to collect data on financial and human resources devoted to R&D.
2017 -onwardsBiennial DOST For verifica-
tion Y Y Y
29. BSP Knowledge Resource Network
An information resource sharing program among public and private libraries. The program involves the setting up of BSP Knowledge Resource Collections (KRCs) in Network member-libraries to house the print publications of the BSP, linking the BSP’s website with member-library portals for online publications and references, and assisting member-libraries with reference and research inquiries regarding economic and financial information.
2017 on-wards BSP
c/o BSP Manila,
Economic and
Financial Learning Center
H
30. Banking Statistics (Fact Book)
A two-volume compilation of various information and statistical data of the BSP Supervised Financial Institutions
Annual 2017 onwards BSP
c/o BSP Manila, Supervi-
sory Data Center,
Supervision and Ex-
amination Sector
H Y Y Y Y
31. Internal Revenue Allotment (IRA) shares of LGUs
Computation and notification of IRA which is used to fund development projects as well as basic services and facilities
April – June Annual DBM H Y Y Y
32. Consolidated tax collections and analyzed drastic changes of collection performance against goal and previous year’s period collection
Analyzed collection statisti-cal perfor-mance by tax type and by district office
2017 onwards monthly BIR H Y Y Y
33. Cooperative Regis-tration Information System (COOPRIS)
It’s a system that will generate statistics on the registered cooperatives
2017 on-wards CDA Y
34. Cooperative Annual Progress Report Information System (CAPRIS)
It’s a system that will generate statistics in coop finances 2017 on-wards CDA Y
35. Cities and Municipalities Competitiveness Index (CMCI)
CMCI is an annual ranking of the Philippines cities and municipalities developed by the NCC together with the RCCs with the assistance of the USAID
2017 on-wards DTI
STATISTICAL DISSEMINATION AND USE
36. Online Price Monitoring System (OPMS or e-Presyo)
“e-Presyo” is the Online Price Monitoring System of the DTI where consumers can check the prevailing prices of basic necessities and prime commodities that are being monitored by the DTI. It serves as a price guide for consumers in doing their grocery shopping which in turn ensures “value for money.”
Monthly except Baguio and
Benguet (weekly) 2016 onwards
DTI Head Office Funded
35 | Page
Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
37. Industry Cluster Project
Project focuses on the priority Industry Clusters of DTI-CAR: Coffee, Wear-ables and Homestyles, Processed Fruits and Nuts, Bamboo and Cacao.This project aims to prepare industry profile or ituationer for the NCR stakeholders of the five identified industry clusters, develop the value chain map of the mentioned industries and identify the possible interventions or assistance to contribute to the inclu-sive growth of employment, income, and investment generation.
Q4 2017 to 2018 (Updating of
2015 Profiles)DTI
150,000(A Service Provider may be hired to
update the IC profiles)
r
38. PEZA-BCEZ Presentation Materials
Presentation materials used during fora with students, LGUs, investors, etc. Some materials are also displayed at the lobby
Monthly updates2017-2022 PEZA 20,000
39. Compendium on Science and Technology
A national survey that aims to collect data on financial and human resources devoted to R&D.
2017 -onwardsBiennial DOST For veri-
fi-cation Y Y Y
40. GRDP News Conference
Forum conducted to disseminate the region’s economic performance 2017 PSA 86,800
41. ASPBI Respon-dents Forum
Forum conducted to disseminate the result of ASPBI 2017 PSA
42. 2015 Census on Population Dissemination
Serve as a venue to disseminate the results of the 2015 Census of Population
2017 PSA 178,500
43. Special Releases, Press Releases, News Letter
A reading material used to disseminate statistics and indicators with brief analysis to all data users and stakeholders
2017 PSA
44. National Statistics Month Celebration 2017 on-wards PSA 288,375 H
45. Building Provincial Database and Information
209-2020 LGU Mountain 200,000
46. Banking Statistics (Fact Book)
A two-volume compilation of various information and statistical data of the BSP Supervised Financial Institutions
Annual 2017 onwards BSP
c/o BSP Manila, Supervi-
sory Data Center,
Supervision and Ex-
amination Sector
H Y Y Y
47. Dissemination of Agriculture and Fisheries Data
Agriculture data being collected shall be consolidated and published in the RFOs quarterly bulletin and other appropriate medium.
2018-2022 DA `
48. Quarterly StatwatchA statistical report on finance, health, public order and safety, environment, and infrastructure
Jan – DecQuarterly
LGU – Baguio
City
49. Research Forums Presentation of Research entries from Higher Education Instructor
SY 2017-2018(once) CHED 50,000
50. Establishment of Facebook account for CAR statistics quarterly submission
Facebook is a free and good platform to create awareness/ dissemination and a venue for discussion of tourism statistics.
3rd Quarter of 2017-2022 DOT N/A
51. Cities and Munici-palities Competitive-ness Index (CMCI) Awarding
A resource person from the PSA to be requested for this activity as part of the strengthening of the DTI-CAR data collection, storage and generation.
2017 on-wards DTI
36 | Page
Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
RESEARCH AND CAPACITY DEVELOPMENT52. Orientation for
DTI-CAR staff on the PSA programs/ services related to data generation, storage and management (conduct of surveys, M&E tools, etc.)
A resource person from the PSA to be requested for this activity as part of the strengthening of the DTI-CAR data collection, stor-age and generation.
2017 only DTI 15,000
53. Research and extension program of the Provincial Agriculture Office
On-farm agricultural data gathering in coordination with the municipal agricultural technicians.
Jan – DecSemi-annual/ an-nual monitoring
per crop
LGU Mt. Province
54. Study on Employment in the Tourism Sector
To measure the economic impact of tourism in terms of its effect on employment
DOT TBD
55. Training of Focal Statistician in the Local Government Units (Municipal level)
LGUs to designate their permanent focal statistician who will work on the Local Tourism Statistics Database of their municipalities.
DOT/ LGUs
56. Training on the Computation of the Gross Regional Domestic Product
To know more about the economic Performance of Baguio City and the economic drivers of the city’s economy
2018 Annual
LGU Baguio
CityH
57. Training Seminar techniques and processes in conducting census and data gathering
To capacitate staff on techniques and process in conducting surveys and data gathering
2018-2020Annual
LGU Baguio
City
25,000 per annum
58. Training Seminar on GRDP DTOI
Training on the computation on GRDP share of Baguio City to the region 2018-2020
LGU Baguio
Cityproposed
59. Seminar Agriculture Sector’s Contribution to Regional Economic Growth Q4, 2017 Once DA 70,000
60. Cities and Municipalities Competitiveness Index (CMCI)
Annual Assessment and Evaluation of the CMCI results as well as benchmarking activities to champion the local government units
2017 on-wards DTI
RESOURCES IN THE RSS61. Establishment of
the BSP Economic and Financial Learning Center in Baguio City
The EFLC of the BSP is the focal point of contact of the public on information concerning economic and financial matters.
2018 BSP High
62. Designation Focal Statistician in the Local Government Units (Municipal level)
LGUs to designate their permanent focal statistician who will work on the Local Tourism Statistics Database of their municipalities.
ProposedDOT/LGUs
37 | Page
4.3 Environment and Multi-Domain Statistics
Environment statistics refers to statistics that present the state or conditions of the environ-ment. Economic statistics measure human activities and natural events that affect the envi-ronment. The impacts of these manmade and natural events and activities, the quality and availability of natural resources and assets, and the social responses to these environmental impacts result to cross-cutting issues such as poverty, gender, sustainable development, cli-mate change and globalization among others that need to be tackled and addressed through program and policy interventions.
SCOPE AND COVERAGE
This domain covers the statistical programs and activities on the following:
1. Environment 2. Regional and small area statistics 3. Poverty and Socio-economic conditions 4. Gender and special population groups 5. Globalization 6. Sustainable development
STATISTICAL PROGRAM AND ACTIVITIES
Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
MANAGEMENT AND COORDINATION1. Quarterly Meeting
of the Regional Statistics Committee
Highest policy-making body that resolves issues and concerns on statistics
2017 onwardsQuarterly RSC H
2. Environment and Natural Resources Accounting (ENRA) Project Team and Steering Committee
The team was created to have an ef-fective and efficient implementation of activities and studies related to ENRA project in the region.
2017 onwards PSA H
3. Regional Technical Committee on Survey Design (RTCSD)
SSRCS involves the evaluation of surveys or censuses sponsored and/or to be conducted by government agencies at the national and sub-national level
2017 onwards PSA H
4. Creation and Convening Regular Provincial Statistics Committee meeting
Ensures a well-coordinated statistical system at the provincial and city levels as coordinator in improving the statistical system that is responsive to development planning and monitoring
2017 onwards
LGU Mt. Province
LGU Ifugao
35,000 H
DATA PRODUCTION5. Annual Poverty
Indicators Survey (APIS)
It aims to collect poverty indicators2017 onwards
annual PSA 37,367
6. Family Income and Expenditures Survey (FIES)
It provides information on the levels of living and disparities in income of Filipino families, as well as their spending patterns.
2018 onwardsEvery 3 years PSA Y Y Y
7. Provincial Socio- economic Profile
Data gathered, processed, and com-piled. Disseminate through clients.
Jan- DecEvery 5 years
LGU Mt. Prov &
Benguet
8. CAR Philippine Indigenous Peoples Ethnographies (PIPE)
Aims to generate the basic profile of the indigenous communities in the country
2017-72022 NCIP 15,000,000
38 | Page
Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
9. Community-based Monitoring System(CBMS)
Tool use to monitor LGU performance on poverty reduction 2015-2018 LGU
Benguet 5,000,000
10. Community-based Monitoring System (CBMS)
Tool use to monitor LGU performance on poverty reduction 2016-2017 LGU
Ifugao P1,760.00
11. Environment and Natural Resources Accounting Estimation (ENRA)
to estimate the environmental accounts of CAR 2017 onwards PSA
525, 000 (2018)
948, 000 (2017)
H
STATISTICAL DISSEMINATION AND USE
12. Special Releases, Press Releases, News Letter
A reading material used to disseminate statistics and indicators with brief analysis to all data users and stakeholders
2017 PSA
13. Provincial Socio-economic Profile
Data gathered, processed, and compiled. Disseminate through clients.
Jan- DecEvery 5 years
LGU Mt. Province
& Benguet
14. Building Provincial Database and Information
2019-2020 LGU Mt. Province 200,000
15. Maintenance of DSEIS (Demographic and Socio-Economic Indicator System)
This was developed as a means of improving the ease and speed in access and dissemination of data on population concerns. The data that are stored and may be retrieved in the DSEIS describe the State of the PPMP, as well as provide means of evaluating the implementation of the ICPD Programme of Action in the country.
2017 onwardsYearly POPCOM N/A H
16. Quarterly StatwatchA statistical report on finance, health, public order and safety, environment, and infrastructure
Jan – DecQuarterly
LGU – Baguio
CityH
17. Social Protection Research Forum
Present of findings and recommendations of completed researches along social welfare and development. This is in coordination with different student researchers from the academe.
Annual DSWD 25,000 H
18. Dissemination of CBMS Survey Result Conduct of forum (PSC, PCD, SP)
May – Dec 20173 years LGU
Ifugao 25,000 H
19. Research Forums Presentation of Research entries from Higher Education Instructor
SY 2017-2018(once) CHED 50,000
20. Research ForumsConduct research forum to disseminate research output to clienteles
Yearly LGU Ifugao 10,000
21. Data Portal on Environment Environmental statistical database
2017 – 2022Annual updating DENR 50,000
22. National Statistics Month Celebration
This is an annual activity in recognition of the importance of statistics in the everyday life.
2017 onwards
PSARLAsLGUsSUCs
288,375
RESEARCH AND CAPACITY DEVELOPMENT23. Capacity – building
on Statistical Genera-tion and
2018-2019 LGU Mt. Province 100,000
39 | Page
Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
Analysis Focusing on Environmental Statistics
24. Seminar on Statistics Seminar – Workshop on Application of Statistics in Records
TBD(once) CHED 50,000
25. Data Management Training for Sustainable Livelihood Program (SLP) Project Development Officers (PDOs)
Discussion of different statistics concepts and how to effectively present data through tabular and graphical presentations
March 13-17, 2017 DSWD 94,365.28
26. Advanced data management training for Pantawid Pamilya Staff
Discussion of different statistics concepts and how to effectively present data through tabular and graphical presentations
April 4-6, 2017 DSWD 80,000
27. Enhancing and sustaining the capacities of the knowledge and training resource center of UP Baguio on Climate Change and Disaster Risk Reduction and Management
2018-2019 UP CSC
28. Reinforcement of NCIP-CAR ICT
The region has installed ICT infra at the different NCIP offices; and has created a website. The office needs to form a Communication Team to aid the ICT Focal Point and the Information Officer. The team should take charge in developing a system or a Communication Plan particularly in the management of the website and in coming up with reporting system of the Office.
2017-2022 NCIP 50,000
29. Training on Effective Presentation of Statistical Report
To train program managers on the mechanics of preparing concise and clear statistical reports using computer software applications and how to make effective presentation for various types of audience.
2018 DOH TBD
30. Attendance to Statistics convention, trainings and forums
For increased in knowledge of the personnel and know updates on Statistics
2017 – 2022 DOH TBD
31. Training on Data Management
The objective of the training is for the participants to manage, format, chart and analyze data effectively using MS Excel
2018 DOH TBD
32. Training on Mineral Accounting
To capacitate the ENRA project team and steering committee in preparation for the accounting of minerals in CAR
2017 onwards DENR/PSA 513,000 M
33. Validation of Environ-mental Resources 2017 onwards DENR/
PSA M
34. Impact Analysis of Environment 2017 onwards DENR/
PSA M
35. Training Seminar techniques and processes in conducting census and data gathering
To capacitate staff on techniques and process in conducting surveys and data gathering
2018-2020Annual
LGU Baguio
City
25,000 per annum
40 | Page
Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
36. Capacity Building on Statistical Tools and Data Management
This series of trainings will be conducted for DA staff encompassing planning, monitoring, research and reporting.
2018-2022 Once to twice in a Year DA 1,500,000
37. Conduct of Training Workshop/Orientation – GAD Database
Equip staff in preparing a GAD data base 2018 LGU
Benguet100,000proposed
38. Statistics Training
Introduction to the wide range of techniques available for statistical forecasting. Qualitative techniques, smoothing and decomposition of time series, regression, adaptive methods, autoregressive-moving average modelling
2017-2018 MGB proposed
39. Research Studies
Conduct of various research studies in different fields:- Education- Agriculture- Tourism- Culture- Security- GAD
2018-2022
PLLU, IFSU & Partner
Agencies
IFSU funds average of
P30,000 per research
study
41 | Page
4.4 METHODOLOGY OF DATA COLLECTION, PROCESSING, DISSEMINATION AND ANALYSIS Scope and Coverage
The domain covers the statistical programs and activities on the following:
1. Metadata 2. Classifications 3. Data sources a) Population and housing censuses; registers of population, dwellings and b) buildings c) Business and agricultural censuses and registers d) Household surveys e) Business and agricultural surveys f) Other administrative sources 4. Data editing and data linkage 5. Dissemination, data warehousing 6. Statistical confidentiality and disclosure protection` 7. Data analysis
STATISTICAL PROGRAM AND ACTIVITIES
Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
MANAGEMENT AND COORDINATION
1. Philippine Central Product Classification (PCPC)
standard classification of goods and services in the Philippines, including tangible assets based on their physical properties and intrinsic nature as well as industrial origin
PSA H
2. Philippine Classification of Individual Consumption (PCOICOP)
a detailed classification of individual consumption expenditures on goods and services incurred by the three institutional sectors of the 1993 and 2008 System of National Accounts
PSA H
3. Philippine Standard Classification of Education (PSCEd)
a detailed classification of all educational levels in the Philippine Educational System
PSA H
4. Philippine Standard Commodity Classifi-cation (PSCC)
a detailed classification of all commodities that enter the Philippine trade
PSA H
5. Philippine Standard Occupational Classification (PSOC)
a classification of the different occupations of the working population, including the military workforce of the country
PSA H
6. Philippine Standard Geographic Classification (PSGC)
a classification and coding of the geographical-political subdivisions of the country, such as the region, the province, the municipality/city and the barangay
PSA H
7. Philippine Standard Industrial Classification (PSIC)
a classification of all economic activities obtaining in the country PSA H
DATA PRODUCTION
42 | Page
Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
STATISTICAL DISSEMINATION AND USE8. Maintenance of
Social Network sites and Regional Government Network (Included in Domain 1)
Part of the Communication Plan Year Round NAPOL-COM 25,000
9. Maintenance of Online RPFP (Responsible Parenthood and Family Planning) Monitoring System (Included in Domain 1)
This serves as database/repository for reached couples during FDS classes, RPFP classes, PMC, and other couples classes conducted in the region. It also maintains records of couples with unmet need for Family Planning and couples served with Family Planning.
2012- up to present POPCOM 10,000
10. Development and Maintenance of K.A.B.S.A.T. (Knowledge and Basic Services Access Terminal) (Included in Domain 2)
This project will utilize both traditional and social media to deliver key messages and attract users to the system. To target a bigger part of the audience, this project shall majorly target in school youth and create a strong social media presence. Printing of posters and other materials shall cover all schools in the city.
2017 onwardsmonthly POPCOM 130,000
11. Building Provincial Database and Infor-mation (Included in Domain 3)
2019-2020 LGU Mt. Province 200,000
12. BSP Knowledge Resource Network (Included in Domain 3)
2017 on-wards BSP
RESEARCH AND CAPACITY DEVELOPMENT13. Seminar on
Research or Statistical Analysis
Capability building of members to conduct research and statistical analysis
2018 LGU Ifugao 15,000
RESOURCES IN THE RSS
43 | Page
Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
MANAGEMENT AND COORDINATION
1. Regional Data Reconciliation and Technical Working Group Meeting (Included in Domain 1)
To reconcile provincial and regional FHSIS report and to discuss issues arising on the implementation of FH-SIS in the provinces/ city and region.
2017 on-wards DOH 150,000
2. Quarterly Meeting on Health Sector Performance Monitoring and Evaluation System (HSPMES) (Included in Domain 1)
For planning of activities and discussion of issues on the collection, consolidation and analysis of the HSP indicators
2017 onwardsQuarterly DOH 40,000 H
3. Roll-out of the Enhanced Client Profile and Monitoring System (e-CPMS) (Included in Domain 2)
CPMS is an online data-base system where the DTI-Provincial Offices will encode data of the assisted SMEs and potential entre-preneurs. Due to intermit-tent internet connection, system was inaccessible in most regions and did not gain the full support of the regions.
e-CPMS is a user-friendly and redesigned to be both an offline and online system using a modular approach to encode/ update infor-mation. It is designed to supplement the NCPMR.
Test run Q3 2017 DTI
15,000 (roll-out)
140,000 (7 CoS @
P10, 000* 2 mos.)
H Chap 16
4. Full adoption of the Local Tourism Statistics System (LTSS) by the Local Government Units (Municipal level) Policy
The LGU Municipal level to consistently collect, record and submit as input to their Provincial data and subsequently submitted to DOT on a regular basis.DOT to capacitate the Tourism Officer/ designated Statistician in the LTSS
Monthly/ Quarterly DOT
500,000annually H Chap
9
5. Quarterly Meeting of the Regional Statistics Committee (Included in Domain 3)
Highest policy-making body that resolves issues and concerns on statistics
2017 onwardsQuarterly RSC H
6. Environment and Natural Resources Accounting (ENRA) Project Team and Steering Committee (Included in Domain 3)
The team was created to have an effective and efficient implementation of activities and studies related to ENRA project in the region.
2017 on-wards PSA H
4.5 STRATEGIC AND MANAGERIAL ISSUES OF OFFICIAL STATISTICS
SCOPE AND COVERAGE
This covers the statistical programs and activities on the following:
1. Institutional frameworks and principles; role and organization of official statistics 2. Statistical programmes; coordination within statistical systems 3. Quality frameworks and measurement of performance of statistical systems and offices 4. Management and development of human resources 5. Management and development of technological resources (including standards for 6. electronic data exchange and data sharing) 7. Coordination of international statistical work 8. Technical cooperation and capacity building
STATISTICAL PROGRAM AND ACTIVITIES
44 | Page
Statistical Program/ Project/Activity
Brief Description and Objectives
Date of Implementation
(Specific Year/s)
Lead Agency
Indicative Budget Needed
Prioritization(High,
Medium, Low)
An Indicator of
RDP SDG CORE-IS
CMCI
1. Regional Technical Committee on Survey Design (RTCSD) (Included in Domain 3)
SSRCS involves the evaluation of surveys or censuses sponsored and/or to be conducted by government agencies at the national and sub-national level
2017 on-wards PSA H
2. Creation and Convening Regular Provincial Statistics Committee meeting (Included in Domain 3)
Ensures a well-coordinated statistical system at the provincial and city levels as coordinator in improving the statistical system that is responsive to development planning and monitoring
2017 on-wards LGU Mt. Province 35,000 H
DATA PRODUCTION
STATISTICAL DISSEMINATION AND USE
RESEARCH AND CAPACITY DEVELOPMENT
RESOURCES IN THE RSS
45 | Page
CORE REGIONAL INDICATOR SYSTEM (CoRe IS)
CHAPTER V
CORE REGIONAL INDICATORS SYSTEM (CoRe IS) FOR THE CORDILLERA ADMINISTRATIVE REGION (CAR)Background
The First RSC Summit held on September 6, 2016 in Manila underscored the need to develop a harmonized and standardized set of core regional indicators that would supplement the key development indicators, specifically, the Gross Regional Domestic Product (GRDP).
The RSC-CAR during its first quarter meeting on February 21, 2017, affirmed the need to organize a task force that will look into the issues and concern of the CoRe IS.
By virtue of RSC-CAR Resolution No. 1, series of 2017, the CAR CoRe IS Task Force was created, and they had a meeting to review the indicators and identify core regional indicators that will to be monitored to determine the status of the development of the region.
On August 29, 2017, list of indicators pursuant to RSC-CAR Resolution No 7, series of 2017 was approved and adopted. The CoRe-IS has six major sectors identified: (1) Social, (2) Economic, (3) Environment and Natural Resources and Multi-Domain, (4) Public Administration and Governance, (5) Infrastructure, and (6) Indigenous Peoples (IP).
Table 3. Distribution of CoRe-IS Indicators by Sector
SectorNumber of Indicators
National CARSocial 59 61Economic 20 21ENR and Multi-Domain 19 3Public Administration and Governance 8Infrastructure 10Indigenous Peoples 4TOTAL 98 107
47 | Page
PSA has the most number of indicators to provide equivalent to 34 indicators, followed by DSWD with 15 and DepEd with 13 indicators. Agencies with the least contribution are NNC, DOT, NIA, BIR, DILG, EMB, NCIP, MGB, PAGASA.
Table 4. Distribution of CoRe-IS by Source Agency
Agency Indicators1. PSA2. DSWD3. DEPED4. DOH5. CHED6. BFP7. PNP8. DPWH
34 15 13 4 4 3 3 3
Table 5. List of Indicators in the CAR CoRe Is
Agency Indicators17. DOT18. NIA19. BIR20. DILG21. EMB22. NC23. MGB24. PAGASA
1 1 1 1 1 1 1 1
Agency Indicators9. BSP10. TESDA11. NEA12. LTO13.DOST14.DOE15.DENR NAMRIA16. NNC
3222222
1
Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
1. Demographics and Social Statistics
1.Average (Annual) Family Expenditure
The average expenses or disbursements made by the family purely for personal consumption during the reference period
FIES, APIS PSA
Every 3 years (FIES),
Annually (APIS)
Regional Income Class
SDG 10.1.1 Growth rates of household expenditures or income per capita among
the bottom 40 percent of the population and the total population.
Input to SDG 3.8.2
Proportion of population with large household
expenditures on health as a share of
total household expenditure or
income
N
2. Average Annual Family Income
The average primary income and receipts from other sources received by all family members during the reference period, as participants in any economic activity or as recipients of transfers, pensions, grants, interests, food and non-food items received as gifts by the family
FIES, APIS PSA
Every 3 years (FIES),
Annually (APIS)
Regional Income Class
SDG 10.1.1 Growth rates of household expenditures or income per capita among
the bottom 40 percent of the population and the total population.
N
48 | Page
Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
3. Gini Ratio/ Coefficient
The ratio of the area between the Lorenz curve and the diagonal (the line of perfect equality) to the area below the diagonal. It is a measure of extent to which the distribution of income/expenditure among families/individuals deviates from a perfectly equal distribution with limits 0 for perfect equality and 1 for perfect inequality.
APIS, FIES PSA
Every 3 years (FIES),
Annually (APIS
Regional N
4.Poverty Incidence among Families
The proportion of families with per capita income/ex-penditure less than the per capita poverty threshold to the total number of families.
APIS, FIES PSA
Every 3 years (FIES),
Annually (APIS)
Regional, Provincial
Chap 11 N
5
Poverty Incidence among Population
The proportion of individuals with per capita income/expenditure less than the per capita poverty threshold to the total number of individuals.
APIS, FIES PSA
Every 3 years (FIES),
Annually (APIS)
Regional, Provincial
SDG 1.2.1 Proportion of population living below the national
poverty line, by sex and age
Chap 04 N
6 Poverty Threshold
The minimum income/expenditure required for a family/individual to meet the basic food and non-food requirements
APIS, FIES PSA
Every 3 years (FIES),
Annually (APIS)
Regional, Provincial N
7Subsistence Incidence among Families
The proportion of families with per capita income/ex-penditure less than the per capita poverty threshold to the total number of families.
APIS, FIES PSA
Every 3 years (FIES),
Annually (APIS)
Regional, Provincial
Chap 11 N
8
Subsistence Incidence among Population
The proportion of population with per capita income/expenditure less than the per capita poverty threshold to the total number of population.
APIS, FIES PSA
Every 3 years (FIES),
Annually (APIS)
Regional, Provincial
SDG 1.2.1 Proportion of population living below the national
poverty line, by sex and age
N
9 Achievement Rate
Refers to the degree of per-formance in different subject areas in various levels of basic education
BEIS DepEd Annually Regional Pro-vincial City
Level of Education: Elementary
and Secondary
SubjectBy sex; by learning
area
Input to SDG 4.1.1 Propor-tion of children and young people: (a) in grades 2/3; b) at the end of primary; and c) at the end of lower second-ary achieving at least a minimum proficiency level in (i) reading and (ii) mathematics, by sex
Chap 10 N
10 Cohort Survival Rate (CSR)
The percentage of enrollees at the beginning grade or year in a given school year who reached the final grade or year of the elementary/secondary level.
BEIS DepEd School Year Regional Provincial City
Level of Education: Elementary and Sec-ondaryBy sex
Supplemental indicator to SDG 4.1
Percentage of enrollees at
the beginning grade or year
Chap 10 N
49 | Page
Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
in a given school who reached the final grade or year of the elementary/secondary
level.
11 Gross Survival Rate (Tertiary)
The percentage of new entrants enrolled in bac-calaureate programs who reached the terminal year or are graduating students of baccalaureate programs in the current year.
Administra-tive Data CHED School Year Regional Pro-
vincial City
Level of Education: Elementary
and Secondary
By sex
12 Completion Rate
The percentage of first grade/year entrants in a level of education who complete/finish the level in accordance with the required number of years of study
BEISDepEdCHED School Year Regional
Provincial City
Level of Education: Elementary
and Secondary
By sex
Supplemental indicator to SDG 4.1.1 Percentage
of first grade/year entrants in a level of
education who complete/finish the level in ac-cordance with the required number of
years of study.
Chap 10 N
13 Drop Out Rate
The percentage of pupils/students who leave school during the year for any reason as well as those who complete the previous grade/year level but fail to enroll in the next grade/year level the following school year to the total number of pupils/students enrolled during the previous school year.
BEIS DepEd School YearRegional Provincial
City
Level of Education: Elementary
and Secondary
N
14 Graduation Rate
The percentage of pupils/students who completed the academic requirement for elementary, secondary, or tertiary levels in the current school year to the number of pupils/students enrolled in the terminal year of the level during the same school year.
BEISDepEdCHED School Year Regional
Provincial City
Level of Education: Elementary
and SecondaryBy sex, By program,
By discipline
Chap 10
and14
N
15 Gross Enrollment Rate
The total enrolment in a given level of education, regardless of ages, as a percentage of population who according to the national regulations should be enrolled at this level
BEIS DepEd School Year Regional Provincial City
Level of Education: Elementary
and SecondaryBy sex, By program,
By discipline
Input to SDG 4.3.1 Partic-ipation rate
of youth and adults in formal and non-formal
education and training
in previous 12 months, by sex
Y
16Gross Enrollment Rate (Tertiary)
The percentage of pre-baccalaureate and baccalaureate students over the schooling age of Philippine population of 16-21 years old.
Administra-tive Data CHED School Year Regional Pro-
vincial City
By Program,
by Discipline
50 | Page
Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
17Participation/ Net Enrollment Rate
The ratio of the enrol-ment for the age group corresponding to the official school age in the elemen-tary/secondary level to the population of the same age group in a given year.
n/a DepEd School Year Regional Provincial City
Level of Education: Elementary
and SecondaryBy sex, By program,
By discipline
Input to SDG 4.3.1
Participation rate of youth and adults in formal and non-formal education
and training in previous 12 months, by sex
Chap 10 Y
18 Pupil-Teacher Ratio
The average number of pupils per teacher in elementary education in a given year.
BEIS DepEd Y
19 Student-Teacher Ratio
The average number of students per teacher in secondary education in a given year.
BEIS DepEd Annually Regional
Level of Education: Kindergar-ten-Grade 6, Grade
7-10, Grade 11
Y
20 Student -Faculty Ratio
The average number of students per faculty in tertiary education in a given academic year.
CHED
21Pupil-Classroom Ratio
The average number of pupils per classroom in elementary education in a given school year.
BEIS DepEd Annually Regional
Level of Education: Kindergar-ten-Grade 6, Grade
7-10, Grade 11
Chap 19 Y
22Student-Classroom Ratio
The average number of pupils per classroom in elementary education in a given school year
BEIS DepEd CHED Annually Regional
Level of Education: Kindergar-ten-Grade 6, Grade
7-10, Grade 11
Chap 19 Y
23 Simple/Basic Literacy
The percentage of the population 10 years old and over, who can read, write and understand simple messages in any language or dialect.
FLEMMS PSA every 5 years Regional Sex
Input to SDG 4.1.1 Propor-
tion of children and young
people: (a) in grades 2/3; b) at the end of
primary; and c) at the end of
lower second-ary achieving
at least a minimum
proficiency level in (i)
reading and (ii) mathematics,
by sex
Input to SDG 4.6.1 Percentage
of population in a given age group
achieving at least a fixed
N
51 | Page
Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
level of proficiency
in functional (a) literacy
and (b) numeracy skills, by
sex
24
Student Grantees of Student Financial Assistance Programs (STUFAPS)
The number of recipients of student assistance through financial grants or loans
Admin reports CHED Annually Regional
Type of sponsor:
public and private
Input to SDG 4.b.1 Volume
of official development
assistance flow for scholarship
[s by sector and type of
study
N
25
Enrolment in Non-Formal Technical and Vocational Education Training (TVET) Programs
Number of enrollees in TVET programs
Admin reports TESDA Annually Regional Program N
26
Graduates in Non-Formal Technical and Vocational Education Training (TVET) Programs
Number of graduates in TVET programs
Admin reports TESDA Annually Regional Program Chap
10 N
27 Employment Rate
Percentage of the total number of employed per-sons to the total number of employed persons
Labor Force
SurveyPSA Quarterly Regional n/a
Chap-ter 10 & 13
N
28 Underemploy-ment Rate
Percentage of the total number of underemployed persons to the total number of employed persons
Labor Force
SurveyPSA Quarterly Regional n/a N
29 Unemployment Rate
Percentage of the total number of unemployed persons to the total number of employed persons
Labor Force
SurveyPSA Quarterly Regional n/a
SDG 8.5.2 unemployment rate, by sex,
age and persons with disabilities
Chap 11 N
30Hospital Bed-Population Ratio (HBPR)
The ratio of hospital beds to the population, usually expressed as the number of available hospital beds for every 1,000 population
Field Health
Services Information
System (FHSIS)
DOH Annually Provincial City n/a Chap 19 Y
31
Skilled Health Personnel to Population Ratio
The ratio of skilled health personnel to the population FHSIS DOH n/a Regional Pro-
vincial City
Type of medical
personnel
SDG 3.c.1 Health worker density and distribution
Y
32
Proportion of Births Attended by Skilled Health Personnel
The number of deliveries attended by skilled health personnel as a percentage of all live births.
FHSIS DOH Annually Regional Pro-vincial City n/a
SG 3.1.2 Proportion of births
attended by skilled health
personnel
N
33Contraceptive Prevalence Rate (CPR)
The proportion of currently married women in the reproductive ages of 15-49
FHSIS DOH Quarterly, Annually
Regional Provincial City n/a
52 | Page
Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
years reporting current use of any contraceptive method.
regarding sexual
relations, contraceptives
use and reproductive health care
34 Fully Immunized Children
The number of fully immu-nized children as a per-centage of all one-year old children in the population
FHSIS DOH Quarterly, Annually
Regional Pro-vincial City n/a N
35
Prevalence of Malnutrition among 0-5 years old children
The number of children aged 0-59 months whose weights for age are less than two standard deviations below the median weight for age of the World Health Organization-Child Growth Standards (WHO-CGS) in a given time period expressed as a percentage of all children aged 0-59 months who were weighed in the same time period.
Operation Timbang NNC Annually Provincial
City
Form of malnutri-
tion
SDG 2.2.2 Prevalence of malnutrition (weight for
height >+2 or <-2 standard
deviation from the median of the WHO Child Growth Standards)
among children under 5 years of age, by type (wasting and overweigh)
Input to SDG 2.1.1Prevalenc of undernour-
ishment
Chap 10 N
36 Infant Mortality Rate
The probability of dying between birth and age one, expressed as the number of infant deaths or deaths occurring before reaching 1 months of life in a given period per 1,000 live births
Generation of Vital Statistics from the Civil Reg-istration System
DOH AnnuallyRegional, Provincial,
CitySex
Input of SDG 3.2.2 Neonatal
mortality
Chap 13 N
37 Maternal Mortality Rate
The ratio between the number of women who died (for reasons of pregnant, childbirth and puerperium) to the number of reported live births in a given year, expressed as the number of maternal
Generation of Vital Statistics from the Civil Reg-istration System
DOH Annually Regional, Pro-vincial, City Sex
SDG 3.1.1 Ma-ternal mortality
ratio
Chap13 N
38 Under-five Mortality Rate
The probability of dying between birth and age five, expressed as the number of deaths below five per 1,000 live births during a given period.
Generation of Vital Statistics from the Civil Reg-istration System
DOH AnnuallyRegional, Provincial,
CitySex
SDG 3.2.1 Under-five
mortality rate
Chap13 N
39
Proportion of Tuberculosis (TB) cases detected under directly observed treatment short course (DOTS)
The number of new infectious tuberculosis cases detected under the international recommended tuberculosis control strategy DOTS as a percentage of all tuberculosis cases.
Admin reports DOH Annually Regional, Pro-
vincial, City, n/a
SDG 3.3.2 Tuberculosis
incidence per 1,000 population
Chap 10 N
40Unduplicated number of clients served
Number of clients served with social welfare and development assistance
Admin reports
DSWDLGU Annually Regional
Input to SDG 1.3.1
Proportion of population covered by
N
53 | Page
Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
social protection
floors/systems, by sex,
distinguishing children,
unemployed persons, older
persons, persons with disabilities, pregnant women,
newborns, work-injury
victims and the poor and the vulnerable
41
Number of families provided with disaster relief assistance
This indicator measures the frequency of internally-dis-placed families and individ-uals provided with food and non-food items (FNFI)
Admin reports DSWD Annually Regional
SDG 11.5.1 Number of
deaths, miss-ing persons and directly affected per-
sons attributed to disasters per 100,000 population
N
42Number of Out-of-School Youth Served
Admin reports DSWD Annually
Input to SDG 8.6.1 Propor-tion of youth (aged 15-24 years) not in education,
employment or training
Input to SDG 8.7.1 Proportion
and number of children aged 15-17 years engaged in
child labor by sex and age
Chap 11 N
43
Number of Pantawid households provided with cash grants
The indicator measures the frequency of Pantawid households served under two modalities of the Pantawid Pamilya Pilipino Program
Admin reports DSWD Annually Regional
Input to SDG 1.3.1
Proportion of population
covered by so-cial protection
floors/sys-tems, by sex, distinguishing
children, unemployed
persons, older persons, persons with disabilities,
pregnant wom-en, newborns,
work-injury victims and the poor and the vulnerable
Chap 11 Y
54 | Page
Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
44
Number of Senior Citizens provided with social pension
The indicator measures the frequency of indigent senior citizens (aged 60 and above)
Admin reports DSWD Annually Regional Sex
Input to SDG 1.3.1 Proportion
of population covered by
social protection floors/systems,
by sex, distinguishing
children, unemployed
persons, older persons,
persons with disabilities, pregnant women,
newborns, work-injury
victims and the poor and the vulnerable
Chap 11 N
45
Number of Women in Especially Difficult Circumstance Served
Admin reports DSWD Annually n/a
SexBy
Clientele category,
By Client’s place Origin
Input to SDG 10.3.1 Proportion of
the population reporting having personality felt discriminated
against or harassed within
the previous 12 months on the basis of a ground of
discrimination prohibited under
international human rights
law
Input to SDG 16.2.2 Number of victims of hu-man trafficking
per 100,000 population, by sex, age and form of exploitation
Chap 11 N
46
Number of Children in Child Development Centers (CDC) and Supervised Neighborhood plays (SNPs) provided with supplementary feeding programs (SFP)
Measures the frequency of children in CDCs and SNPs who have been served in a complete cycle of SFP
Admin reports DSWD Annually Regional Chap
11
47
Number of Sustainable Livelihood Programs (SLP) households assisted through the
Measures the frequency of SLP households with one member engaged in established/diversified/enhanced microenterprises that have started business operations.
DSWD Annually Regional
55 | Page
Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
Microenterprise Development Track
To qualify for engagement in microenterprises, member must be an adult or aged 16-17 years old with consent of parent/guard-ian as tagged in the SLP Information System
48
Number of SLP households with one adult family member assisted through Employment Facilitation Track
Measures the frequency of SLP households with one member employed with a minimum of three months engagement
Admin reports DSWD Annually Regional
49
Number of households that benefitted from completed KC-NCDDP sub projects
This indicator measures the number of households that are able to access community sub-projects funded through Kala-hi-CIDSS-NCDDP
Admin reports DSWD Annually Regional
50
Number of client served in residential and non-residential care facilities
This indicator measures the frequency of clients who are assisted and are reading in the DSWD Residential and Non-residential Facilities.
Admin reports DSWD Annually Regional Type of
Facility
51
Number of children placed for alternative care
This indicator measures the frequency of children served through the Alternative Parental Care Program: Adopting and Foster Care
Admin reports DSWD Annually Regional Type of
Service
52
Number of trafficked persons provided with social welfare services
This indicator measures the frequency of trafficked persons (individuals) served through the Recovery and Reintegrated Program Trafficked persons (RRPTP) disaggregated by sector.
Admin reports DSWD Annually Regional
Sector: Women, children, youth, PWDs, senior
citizens
53
Number of clients served through assistance to individuals in crisis situation (IACS)
This indicator measures the frequency of clients served through assistance to indi-viduals in crisis situation.
Admin reports DSWD Annually Regional By type
54
Number of clients served through assistance to communities in need
This indicator measures the frequency of clients served through assistance to communities in need.
Admin reports DSWD Annually Regional
55 Population
Total number of individuals in a territory at a specified time. It covers both nationals and aliens, native and foreign-born persons, internees, refugees and any other group physically present within the borders of a country at a specified time. In assembling national demographic statistics for publication, the basic aim has been to obtain data for the physically present (or “de facto”) population
POPCEN PSA Every 5 years
Regional, Pro-vincial, City, Municipality
By Sex, by Age
Input to several SDG indicators
Chap 13 N
56 | Page
Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
rather the for the legally established resident (or “de jure”) inhabitants.
56 Population Density
Refers to the number of persons per unit of land area (usually in square kilometres).
Census of Popula-tion and Housing (CPH)
PSA Every 5 years
Regional, Pro-vincial, City, Municipality
n/a
Input to SDG 3.c.1 Health
worker density and distribution
Chap 03 N
57 Population Growth Rate
Indicates how fast a population increases or decreases as a result of interplay of births, deaths, and migration during a given period of time.
Census of Population (POPCEN) and CPH
PSA Every 5 years
Regional, Pro-vincial, City, Municipality
n/a
Input to SDG 11.3.1 Ratio of land con-
sumption rate to population growth rate
Chap 03 N
58
Number of Families by Main Source of Water Supply
APIS or FIES for non-cen-sus years and CPH
for census years
PSA/ DOH Annually n/a
Source of water supply
SDG 6.1.1 Proportion of
population using safely managed drinking water
services
Chap 19 Y
59Number of Families by type of toilet facility
APIS or FIES for non-cen-sus years and CPH
for census years
PSA Annually n/aSource of water supply
Input to SDG 6.2.1Proporiton of population using safely
managed sani-tation services,
including a hand-washing
facility with soup and water
Chap 19 N
60
Licensure Examination Regional Passing Rate
Admin reports CHED Annually Regional By Disci-
pline
4.3.s3 Passing rate in licensure
exam (HEd)
Chap 10
61
Number of Pantawid Pamilyang Pilipino Beneficiaries
Admin reports DSWD Annually Regional Type
2 Economic Statistics
62
Gross Regional Domestic Expenditure (at current and constant prices)
The expenditure of residents of the region in the domestic territory plus their expenditures in other regions including the rest of the world.
Conduct of various surveys
and gather-ing of
data from several
administra-tive-based
data systems
PSA Annually RegionalType of expendi-
ture
Chap 04
and 15
N
63
Gross Regional Domestic Product (at current and constant prices)
The aggregates of gross value added (GVA) of all resident produce units in the region.
Conduct of various surveys
and gather-ing of
data from several
administra-tive-based
data systems
PSA Annually RegionalType of expendi-
ture
Chap 04 N
Gross Regional Research &
Expenses or costs incurred by R&D institutions or unit
Compen-dium DOST Every 2
years Regional Sector Sector Chap 14
57 | Page
Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
64Development (R&D) Expenditure
implementing R&D projects/activities during specific period.
Total R&D expenditure of R&D institutions located in or operating within a particular region.
(Govern-ment,
public and private HEIs,
private non-profit)
Chap 14
65 Gross Regional R&D Personnel
Total number of persons engaged in R&D work of an institution that is implement-ing R&D projects located in the region.
DOST Regional
Category (re-
searcher, technician,
auxiliary personnel)
Chap 14
66 Area of Farm Refers to the size or actual measurement of the farm
PCPSCrPS PSA
AnnuallyQuarterly
Semi- Annually
Regional, Provincial
n/atype of crop
Input to SDG 5.a.1 (a)
Population of total agricultural population with ownership or secure rights
over agricultural land, by sex;
and b) share of women among
owners or rights-bearers of agricultural
land, by type of tenure
N
67Volume of Crops Production
It is the quality produced and actually harvested for a particular crop during a reference period. It includes those harvested but damaged, stolen, given away, consumed, given as harvesters and threshers shares, reserved etc. excluded are those produced but not harvested due to low price, lack of demand and force majeure or fortuitous events, etc.
PCPSCrPS PSA Annually,
QuarterlyRegional, Provincial
Palay, corn, major
crops
SDG 2.3.1 Volume of production
per labour unit by classes of farming/
pastoral/forestry enterprise size
Chap 8 N
68Volume of Fishery Production
It is the quantity of fish un-loaded in the landing center, caught in inland bodies of water and/or harvested/produced from aqua farms; presented in metric tons.
Aquacul-ture Survey Inland and Municipal Survey
PSA Annually, Quarterly
Regional, Provincia
Type, Species
SDG 2.3.1 volume of
production per labour unit by classes of farming/
pastoral/forestry enterprise size
Chap 8 N
69Volume of Livestock Production
It refers to the volume of indigenous (local-raised) animals disposed for slaughter plus animals exported or shipped-out for slaughter both on live weight equivalent.
BLPS/CLPS PSA Annually,
QuarterlyRegional, Provincial
Type, Species
SDG 2.3.1 vol-ume of produc-tion per labour unit by classes
of farming/pastoral/forestry enterprise size
Chap 8 N
70
Volume of Poultry Production
It refers to the volume of indigenous (local-raised) an-imals disposed for slaughter plus animals exported or shipped-out for slaughter
BLPS/CLPS PSA Annually,
QuarterlyRegional, Provincial
Type, Species
SDG 2.3.1 volume of
production per labour unit by
Chap 8 N
58 | Page
Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
both on live weight equivalent.
classes of farming/
pastoral/forestry enterprise size
71 Consumer Price Index
Indicator of the change in the average prices of a fixed basket of goods and ser-vices commonly purchased by household relative to base year.
Survey of Retail Prices of
Commodi-ties for the CPI (Agri-
culture and Non-Agri-culture)
PSA Annually, Monthly
Regional, Provincial
Major commodity
groupN
72 Inflation RateThe annual rate of change or the year-on-year change in the CPI.
Survey of Retail Prices of
Commodi-ties for the CPI (Agri-
culture and Non-Agri-culture)
PSA Annually, Monthly
Regional, Provincial
Major commodity
group
Chap 15 Y
73 Purchasing power of peso
A measure of the real value of the peso in a given period relative to a chosen reference period. It is computed by getting the reciprocal of the CPI and multiplying the result by 100.
Survey of Retail Prices of
Commodi-ties for the CPI (Agri-
culture and Non-Agri-culture)
PSA Annually, Monthly
Regional, Provincial n/a N
74 Bank Density Ratio
Ratio of the total number of domestic banking offices to the total number of cities/municipalities in the Philippines.
Admin reports BSP Annually Regional,
ProvincialType of
bank
SDG 8.10.1 Number of commercial bank branches and automated teller machines (ATMs) per 100,000 adults
Y
75 Total Deposit Liabilities
Deposits liabilities include a) Demand Deposits, b) Savings Deposits, and c) Time Certificate Deposits.
Admin reports BSP Annually Regional,
Provincial n/a
Input to SDG 8.10.2 Proportion of
adults (15 years and older with
an account at a bank or
other financial institution or
with a mobile-money-service
provider
Chap 15 N
76 Loan Portfolio
Non-derivative financial assets with fixed or determinable payments that are not quoted in an active market. These include a)Loans to BSP b) Interbank Loans c) Loans and receivable- others, and d) Loans and Receivables arising from repurchase agreements (LRARA), net of amortization.
Admin reports BSP Annually Regional,
ProvincialType of
bank
Input to SDG 9.3.2 Proportion of small-scale industries with a loan or line of
credit
N
77 Number of Establishments ULE PSA Annually Regional,
ProvincialType of industry
Input to SDG 16.5.2. Proportion of
N
59 | Page
Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
businesses that had at least one contact with a public official and that paid a bribe to a
public official, or were asked for a bribe by those public
officials during the previous 12
months
78
Number of Micro, Small and Medium Enterprises
Includes tourist, excursion-ists, aliens entering the country for a temporary stay not exceeding one year and for purpose other than immigration, permanent residence or employment for remuneration in the country and Filipino nation-als residing permanently abroad on temporary stay in Philippines not exceeding one year. This includes the following: a)transit visitors and change-plan passen-gers remain in the premises of the port of entry terminal: b)aliens with pre-arranged employment for remunera-tion in the Philippines, even if length of stay overseas who are not permanent residents abroad: e) Filipino overseas contract workers on home visits: and f) returning residents of the Philippines.
ULE PSA Annually Regional, Provincial
Type of industry
Input to SDG 9.3.2 Proportion of small-scale industries with a loan or line of
credit
Chap 9 N
79 Visitor Arrivals
Quantity of and total income generated from all goods leaving the country which are properly cleared through the customs.
Admin reports DOT Annually,
MonthlyRegional, Provincial
Country of origin
Input to SDG 16.5.2 Proportion of
businesses that had at least one contact with a public official and that paid a bribe to a
public official, or were asked for a bribe by those public
officials during the previous 12
months
Chap 9 N
80 Volume and Value of Exports
Quantity of and total income generated from all goods entering any seaports or airports of entry of the Philippine properly cleared through the Customs or remaining under the Customs control, whether the goods are for direct consumption, for merchanting (global manufacturing, global wholesaling/retailing, and
Foreign Trade
Statistics (FTS) and commodity flow data
PSA Annually Regional n/a
Input to SDG 17.4.1 Debt service as a
proportion of ex-ports of goods and services
N
60 | Page
Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
81 Volume and Val-ue of Imports
Focuses on the quantity and value of Philippine trade with other countries for the calendar year
Foreign Trade Statistics (FTS) and commodity flow data
PSA Annually Regional n/a
Input to SDG 10.a.1 Proportion
of tariff lines applied to
imports from least developed countries and
developing countries with
zero-tariff
N
82 Mineral Production
It includes the volume and value of production of minerals
Admin reports MGB Quarterly Regional
3 Environment and Natural Resources and Multi-Domain 3.1 Environment
83 Distribution of Pollutants
Station records EMB Annually Type of
Emission
Input to SDG 11.6.2 Annual mean levels of fine particulate
matter (e.g. PM2.5 and
PM10) in cities (population weighted)
Chap 20 N
84 Total Forest Land
NAMRIA
SDG 15.1.1 Forest area as a proportion of total land area
Chap 20 N
85 Minimum temperature
Station records
PAGASA
3.2 Public Administration and Governance
86 Crime Solution Efficiency
Percentage of solved cases out of total number of crime incidents handled by law enforcement agencies for a given period of time.
Admin reports PNP Annually Regional,
Provincial n/a
Input to SDG 16.3.2
Unsentenced detainees as
a proportion of overall prison
population
Chap 18 N
87 Crime Volume
The total number of crime incidents committed in a given area over a period of time.
NCRS PNP Annually Regional, Provincial/City
Type of CrimeBy sex
Goal 16 Chap 18 N
88Ratio of Firemen to population
An indicator that measures the adequacy of the firefighting man power to safeguard the people and property. It is computed by dividing the total population by the total number of firemen.
Administra-tive-based
recordsBFP Annually Provincial n/a
By sex N
89Number of suppressed fire incidents
Total number of fire incidents suppressed over a given period of time.
Administra-tive-based
recordsBFP Annually Chap
18
90Ratio of Policemen to population
An indicator that measures the adequacy of the police force in its task of promoting peace and order, and of providing security to the people and property. It is computed by dividing the total population by the total number of policemen.
Administra-tive-based
recordsPNP Annually Provincial n/a Y
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Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
91Total Revenue Collections (LGU)
Administra-tive-based records
BIR, BLGF
Annually, Quarterly
Regional, Provincial/
City
Type of Revenue
Input to SDG 17.1.1 Total government revenue as a proportion of
GDP, by source LOOK SDG 8
Chap 15 & 16
Y
92Compliance to Full Disclosure Policy
Number of LGUs complying with the Full Disclosure Policy of the Government.
Administra-tive-based
recordsDILG Annually,
Quarterly
Regional, Provincial/
City
93Ratio of Fire truck to Population
Administra-tive-based
recordsBFP Annually Regional
3.3 Infrastructure
94Length of National Bridges
Road and Bridge
Application System
DPWH AnnuallyRegional,
Engineering District
Type: permanent, temporary
N
95Number of National Bridges
Road and Bridge
Application System
DPWH AnnuallyRegional,
Engineering District
Type: permanent, temporary
N
96 Length of National Roads
Road and Bridge
Application System
DPWH AnnuallyRegional,
Engineering District
Type of Material
Input to SDG 9.1.1 Proportion
of the rural population who live within 2 km of an all-season
road
Chap 18 Y
97Number of Driver Permits/Licenses Issued
Administra-tive-based
recordsLTO Annually Regional,
Provincial/City n/a N
98Number of Motor Vehicles Registered
Administra-tive-based
recordsLTO Annually Regional,
Provincial
Type of vehicle and
status
Chap 19 N
99 Status of Energization
Number of barangays with access to/covered by electricity connections divided by the total number of barangays.
Administra-tive-based
recordsNEA Monthly
Regional, Pro-vincial (Electric
Coop), Municipality
n/a
Related to 7.1.1 Proportion of population
with access to electricity
Input to SDG 4.a.1 Proportion of schools with access to: a) electricity; b)
the Internet for pedagogical purposes; c)
computers for pedagogical purposes; d) adapted
infrastructure and materials for students
with disabilities: e) basic
drinking water; f) single-sex
basic sanitation facilities;
and g) basic handwashing facilities (as
per the WASH indicator
definitions
Chap 19 Y
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Source of Data Disaggregation
NO Indicator Definition Statistical Activity Agency Frequency
of Data
Geographical (Provincial,
City, Municipal, Barangay)
Dimension (Sex, Age,
Marital Status,
Industry, Occupa-tion, etc.)
SDG 2030
CAR RDP
2017 - 2022
CMCI
100Percentage of Families with Electricity
Number of families with electricity connections divided by the total number of families in a particular area.
Annual Poverty Indicators Survey (APIS)
PSA Annual Regional n/a Chap 19 Y
101
Power consumption in Kilowatt-hour (Kwh)
DOE Annually
102Oil Consumption in Liters (L)
DOE Annually
103Percent level of Irrigation Development
Administra-tive-based records
NIA Annually n/a Chap 8 N
4 Indigenous Peoples
104
Number of Poor IP from the Pantawid Pamilya
National Household Targeting System (NHTS)
DSWD Annual Regional
105
Number of capability building activities (IPED)
BEIS DEPED Annual Regional n/a
106
Number of contextualized learning materials (IPED)
BEIS DEPED Annual Regional n/a Chap 7
107
Number of Land Tenure Instruments issued
Administra-tive-based
recordsNCIP Annual Regional Type Chap
7
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CHAPTER
LOCALIZATION OF THE SUSTAINABLE DEVELOPMENT GOALS (SDG) INDICATORS
VI
LOCALIZATION OF THE SUSTAINABLE DEVELOPMENT GOALS (SDG) INDICATORSThe Sustainable Development Agenda was adopted by the 21 UN members countries on September 25, 2015 composed of 17 developmental goals, 169 targets, and 230 indicators. SDG intends to end poverty, protect the planet and ensure that all people enjoy peace and prosperity.
The RSC-CAR during its 2nd Quarter meeting on 19 May 2016 at the RDC Hall, Baguio City, recognized the need to create a Technical Working Group (TWG) on SDG to study the core global SDG Indicator Framework and assess the identified SDG indicators to be monitored in the region. The committee passed RSC Resolution No. 6, series of 2016 - Creation of the TWG on SDG.
On February 21, 2017, the TWG on SDG met to review the availability of the identified national SDG indicators in the region and identify possible supplemental and proxy indicators. The TWG is headed by NEDA-CAR and PSA-CAR as the co-chair, and the 24 members includes BSP, BFAR, CHED, POPCOM, DA, DEPED, DOE, DENR, DOH, DILG, DOLE, DSWD, DOTC, DPHW, DOST, EMB, HLURB, NCIP, NNC, NTC, OCD, PEZA, PROCOR, and WWRRC.
A Regional Assessment Workshop on SDG for Luzon Cluster was conducted on October 16-17, 2017 at Le Monet Hotel, Baguio City to further review the indicators of the SDG. As a result, there were 53 supplemental and proxy indicators identified for TIER 1.
TIER (based on IAEG*-SDG definition)
The following are the programs and activities in the localization of the monitoring of the SDG statistics:
SDG Watch – is a publication on the monitoring of the SDG indicators which shall be prepared and reported by the PSA. There will be a quarterly monitoring of the indicators in order to determine the status of the region in achieving the targets and goals of the SDG.
SDG Website – is a monitoring system with the use technology for easy access. There shall be a separate section for the SDG in the PSA-CAR website wherein updates shall be uploaded from time to time.
Conduct Fora – partners from line agencies, universities, and local government units conduct information dissemination activities.
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Table 6. CAR SDG Indicators by TIER Classifications
AGENCY TIER 3 TIER 2 TIER 1PSA 1.2.2 Proportion of men, women and
children of all ages living in poverty in all its dimensions according to national definitions1.a.3 Sum of total grants and non-debt-creating inflows directly allocated to poverty reduction programmes as a proportion of GDP7.3.1 Energy intensity measured in terms of primary energy and GDP7.b.1 Investments in energy efficiency as a percentage of GDP and the amount of foreign direct investment in financial transfer for infrastructure and technology to sustainable development services8.4.1 Material footprint, material footprint per capita, and material footprint per GDP8.4.2 Domestic material consumption, domestic material consumption per capita, and domestic material consumption per GDP8.9.1 Tourism direct GDP as a proportion of total GDP and in growth rate8.b.1 Total government spending in social protection and employment programmes as a proportion of the national budgets and GDP10.4.1 Labour share of GDP, comprising wages and social protection transfers10.7.1 Recruitment cost borne by employee as a proportion of yearly income earned in country of destination12.2.1 Material footprint, material footprint per capita, and material footprint per GDP Indicator is also found in SDG 8.4.112.2.2 Domestic material consumption, domestic material consumption per capita, and domestic material consumption per GDP Indicator is also found in SDG 8.4.2.17.1.1 Total government revenue as a proportion of GDP, by source17.1.2 Proportion of domestic budget funded by domestic taxes
1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) 5.a.1 (a) Proportion of total agricultural population with ownership or secure rights over agricultural land, by sex; and (b) share of women among owners or rights-bearers of agricultural land, by type of tenure8.3.1 Proportion of informal employment in non agriculture employment, by sex10.c.1 Remittance costs as a proportion of the amount remitted11.3.1 Ratio of land consumption rate to population growth rate11.5.2 Direct disaster economic loss in relation to global GDP, including disaster damage to critical infrastructure and disruption of basic services
1.2.1 Proportion of population living below the national poverty line, by sex and age1.4.1p1 Proportion of population living in households with access to basic services1.4.1.p2 Percentage of all women and currently married women ages 15-49 who have ever used any contraceptive methods1.4.1p3 Percentage of population that visited a health facility or sought advice or treatment in the 30 days preceeding the survey1.4.1.p8 Proportion of population living in households with access to sanitary facility1.4.1.p9 Proportion of families with owned or owner-like possession of housing units1.4.2.p10 Proportion of families which own house and lot or owner-like possession of house and lot; rent house/room including lot; own house, rent lot; own house, rent-free lot with consent of owner; rent-free house and lot with consent of owner3.6.1 Death rate due to road traffic injuries3.7.1 Proportion of women of reproductive age (aged 15-49 years) who have their need for family planning satisfied [provided] with modern methods3.7.2 Adolescent birth rate (aged 10-14 years or aged 15-19years) per 1,000 women in that age group3.7.s1 Contraceptive Prevalence Rate3.9.3 Mortality rate attributed to unintentional poisoning3.a.1 Age-standardized prevalence of current tobacco use among persons aged 15 years and older4.4.1.p1 Proportion of population with exposure to internet4.6.1 Percentage of population in a given age group achieving at least a fixed level of proficiency in functional (a) literacy and (b) numeracy skills, by sex5.2.1 Proportion of ever-partnered women and girls aged 15 years and older subjected to physical, sexual or psychological violence by a current or former intimate partner in the previous 12 months, by form of violence and by age5.2.2 Proportion of women and girls aged 15 years and older subjected to sexual violence by persons other than an intimate partner in the previous 12 months, by age and place of occurrence5.3.1 Proportion of women aged 20-24 years who were married or in a union before age 15 and before age 185.5.2 Proportion of women in managerial positions6.1.1 .p1 Proportion of household using safely managed drinking water services7.1.1 Proportion of population with access to electricity8.1.1 Annual growth rate of real GDP per capita8.2.1 Annual growth rate of real GDP per employed person
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AGENCY TIER 3 TIER 2 TIER 18.5.2 Unemployment rate, by sex, age and persons with disabilities8.6.1 Proportion of youth (aged 15-24 years) not in education, employment or training8.8.1 Frequency rates of fatal and non-fatal occupational injuries, by sex and migrant status9.2.1 Manufacturing value added as a proportion of GDP and per capita9.2.2 Manufacturing employment as a proportion of total employment10.1.1 Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population and the total population10.2.1 Proportion of people living below 50 per cent of median income, by age, sex andpersons with disabilities16.9.1 Proportion of children under 5 years of age whose births have been registered with a civil authority, by age17.8.1 Proportion of individuals using the Internet
DSWD 1.3.1s1 Proportion of population provided with social protection with the following: KALAHI, SLP, SFP, AICS, and CCT1.a.1.p1 Proportion of CCT budget/expenditure as direct poverty reduction program to the national budget/expenditure4.2.2 Participation rate in organized learning (one year before the official primary entry age), by sex5.2.s3 Number of cases served by Department of Social Welfare and Development (DSWD) on violence against women and child abuse
DEPED 4.1.1 Proportion of children and young people: (a) in grades 2/3; (b) at the end of primary; and (c) at the end of lower secondary achieving at least a minimum proficiency level in (i) reading and (ii) mathematics, by sex4.3.1 Participation rate of youth and adults in formal and non-formal education and training in the previous 12 months, by sex(non-formal , DSWD and/or TESDA)4.c.1 Proportion of teachers in: (a) pre-primary; (b) primary; (c) lower secondary; and (d) upper secondary education who have received at least the minimum organized teacher training (e.g. pedagogical training) pre-service or in-service required for teaching at the relevant level in a given country
1.4.1p4 Net Enrolment Rate in kindergarten1.4.1p5 Net Enrolment Rate in elementary1.4.1p6 Net Enrolment Rate in secondary education1.4.1p7 Proportion of families with access to safe water supply4.1.s1 Completion Rate4.1.s2 Cohort Survival Rate4.1.s3 Dropout Rate or School Leavers Rate4.3.s1 Net Enrolment Rate in elementary education4.3.s2 Net Enrolment Rate in secondary education4.5.1 Parity indices (female/male, rural/urban, bottom/top wealth quintile and others such as disability status, indigenous peoples and conflict-affected, as data become available) for all education indicators on this list that can be disaggregated4.5.1s1 parity indices of female and male in the enrollment of primary education4.a.1 Proportion of schools with access to: (a) electricity; (b) the Internet for pedagogical purposes; (c) computers for pedagogical purposes; (d) adapted infrastructure and materials for students with disabilities; (e) basic drinking water; (f) single-sex basic sanitation facilities; and (g) basic handwashing facilities (as per the WASH indicator definitions)
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AGENCY TIER 3 TIER 2 TIER 1 4.a.1.1 electricity 4.a.1.2 internet 4.a.1.3 computers 4.a.1.4 water sanitation
DILG 1.5.4 Proportion of local governments that adopt and implement local disaster risk reduction strategies in line with national disaster risk reduction strategies
DOST FNRI 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES)
2.1.1 Prevalence of undernourishment 2.1.1.p1 Proportion of households meeting 100% recommended energy intake2.2.1 Prevalence of stunting (height for age <-2 standard deviation from the median of the World Health Organization (WHO) Child Growth Standards) among children under 5 years of age2.2.2 Prevalence of malnutrition (weight for height >+2 or <-2 standard deviation from the median of the WHO Child Growth Standards) among children under 5 years of age, by type (wasting and overweight)2.2.2.1 Prevalence of malnutrition for children under 5 years <-2 SD from the median of the WHO CGS (wasting)2.2.2.2 Prevalence of malnutrition for children under 5 years <+2 SD from the median of the WHO CGS (overweight)2.2.s1 Prevalence of micronutrient deficiencies (Vit. A, Iron)2.2.s2 Prevalence of exclusive breastfeeding3.5.2 Harmful use of alcohol, defined according to the national context as alcohol per capita consumption (aged 15 years and older) within a calendar year in litres of pure alcohol3.a.s1 Prevalence of current tobacco use
DOH 3.3.1 Number of new HIV infections per 1,000 uninfected population, by sex, age and key populations3.3.5 Number of people requiring interventions against neglected tropical diseases3.9.2 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)3.c.1 Health worker density and distribution3.d.1 International Health Regulations (IHR) capacity and health emergency preparedness6.1.1 Proportion of population using safely managed drinking water services6.2.1 Proportion of population using safely managed sanitation services, including a hand-washing facility with soap and water
3.3.4 Hepatitis B incidence per 100,000 population3.b.1 Proportion of the target population covered by all vaccines included in their national programme3.b.3 Proportion of health facilities that have a core set of relevant essential medicines available and affordable on a sustainable basis
3.1.1 Maternal mortality ratio 3.1.2 Proportion of births attended by skilled health personnel3.1.s1 Proportion of births delivered in a health facility3.2.1 Under-five mortality rate3.2.2 Neonatal mortality rate3.2.s1 Infant Mortality Rate3.3.1.p1Number of new HIV infections (newly diagnosed cases/year)3.3.2 Tuberculosis incidence per 100,000 population (per 100,000 in DOH)3.3.3 Malaria incidence per 1,000 population (per 100,000 in DOH)3.5.1.p1 Percentage of drug abuse cases or drug users who completed treatment3.b.1p1 Proportion of fully immunized children3.b.3p1 Percentage availability of essential drugs in public health facilities
DOH/PSA 3.4.1 Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease
PHILHEALTH
3.8.1 Coverage of essential health services (defined as the average coverage of essential services based on tracer interventions that include reproductive, maternal, newborn and child health, infectious diseases, non-communicable diseases and service capacity and access, among the general and the most disadvantaged population)
3.8.2 Number of people covered by health insurance or a public health system per 1,000 population3.8.s1 % of population covered by the social health insurance3.8.s2 Out-of-pocket health spending as percentage of total health expenditure
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AGENCY TIER 3 TIER 2 TIER 1CHED 4.3.1 Participation rate of youth and
adults in formal and non-formal education and training in the previous 12 months, by sex4.4.1 Proportion of youth and adults with information and communications technology (ICT) skills, by type of skill4.c.1 Proportion of teachers in: (a) pre-primary; (b) primary; (c) lower secondary; and (d) upper secondary education who have received at least the minimum organized teacher training (e.g. pedagogical training) pre-service or in-service required for teaching at the relevant level in a given country
4.3.s3 Passing rate in licensure exam (HEd)4.5.1 Parity indices (female/male, rural/urban, bottom/top wealth quintile and others such as disability status, indigenous peoples and conflict-affected, as data become available) for all education indicators on this list that can be disaggregated4.c.s1 Faculty qualification (HEd)
TESDA 4.3.1 Participation rate of youth and adults in formal and non-formal education and training in the previous 12 months, by sex4.4.1 Proportion of youth and adults with information and communications technology (ICT) skills, by type of skill
4.3.s4 Certification rate (TVET)4.5.1 Parity indices (female/male, rural/urban, bottom/top wealth quintile and others such as disability status, indigenous peoples and conflict-affected, as data become available) for all education indicators on this list that can be disaggregated4.c.s2 Number of TVET trainers trained
COMELEC 5.5.1 Proportion of seats held by women in (a) national parliaments and (b) local governments
DTI 5.5.2s1 Percentage of firms owned by women (through business permits and licences system)
DAR 5.a.1p1Number agricultural and residential land free patents issued to women and men
DAR, NCIP 5.a.1p2Number of holders of emancipation patents and certificates of land ownership, certificate of ancestral land titles (CALTs), certificate of ancestral domain titles (CADTs) by sex, stewardship5.a.1p3 Number of women beneficiaries with secured land tenure in Residential areas
WWRRC 6.6.1 Change in the extent of water-related ecosystems over time
6.a.1 Amount of water- and sanitation-related official development assistance that is part of a government-coordinated spending plan
DILG 6.b.1 Proportion of local administrative units with established and operational policies and procedures for participation of local communities in water and sanitation management6.b.s2 Number of local WASH ordinances strengthening WASH governance in the communities
DILG DOH
6.b.s1 Number of functional WASH councils/ committees in LGUs
DOE 7.1.2 Proportion of population with primary reliance on clean fuels and technology
BSP 8.10.1 (a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machines (ATMs) per 100,000 adults8.10.2 Proportion of adults (15 years and older) with an account at a bank or other financial institution or with a mobile-money-service provider
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AGENCY TIER 3 TIER 2 TIER 1DOTr 9.1.2 Passenger and freight volumes, by
mode of transportPSADOST
9.5.1 Research and development expenditure as a proportion of GDP
DOST 9.5.2 Researchers (in full-time equivalent) per million inhabitants
9.5.2.s1 Proportion of graduates of science courses to total graduates
LGUs/EMB 11.6.1 Proportion of urban solid waste regularly collected and with adequate final discharge out of total urban solid waste generated, by cities
EMB 9.4.1 CO2 emission per unit of value added
6.3.2 Proportion of bodies of water with good ambient water quality
11.6.2 Annual mean levels of fine particulate matter (e.g. PM2.5 and PM10) in cities (population weighted)11.6.2p1 Percentage of highly urbanized and other major urban centers within ambient air quality guidelines value increased12.4.2 Hazardous waste generated per capita and proportion of hazardous waste treated, by type of treatment
OCDDILG
11.b.2 Proportion of local governments (units) that adopt and implement local disaster risk reduction strategies in line with national disaster risk reduction strategies Indicator is also found in SDG 1.5.3 and 13.1.2.
OCD 1.5.1 Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population3.1.1 Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population11.5.1 Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population Indicator is also found in SDG 1.5.1 and 13.1.213.1.3 Proportion of local governments that adopt and implement local disaster risk reduction strategies in line with national disaster risk reduction strategies
DENR 6.3.1 Proportion of wastewater safely treated6.4.1 Change in water-use efficiency over time6.5.1 Degree of integrated water resources management (IWRM) implementation (0-100)15.5.1 Red List Index15.7.1 Proportion of traded wildlife that was poached or illicitly trafficked Indicator is also found in SDG 15.c.1.15.c.1 Proportion of traded wildlife that was poached or illicitly traffickedIndicator is also found in SDG 15.7.1.
15.3.1 Proportion of land that is degraded over total land area15.4.1 Coverage by protected areas of important sites for mountain biodiversity
6.3.1.p1 Volume of wastewater treated (industries)6.3.2.p1 Proportion of monitored bodies of water with good ambient water quality6.5.1.p1 Percentage of implementation of programs and projects identified in the Integrated River Basin Master Plans (IRBMP)
15.1.1 Forest area as a proportion of total land area15.1.2 Proportion of important sites for terrestrial and freshwater biodiversity that are covered by protected areas, by ecosystem type15.2.1 Progress towards sustainable forest management15.3.1.p1 Forest Cover Change ( from close to open forest)
PROCOR 16.1.2 Conflict-related deaths per 100,000 population, by sex, age and cause16.4.1 Total value of inward and outward illicit financial flows (in current United States dollars)16.b.1 Proportion of population reporting having personally felt discriminated
11.7.2 Proportion of persons victim of physical or sexual harassment, by sex, age, disability status and place of occurrence, in the previous 12 months16.1.3 Proportion of population subjected to physical, psychological or sexual violence in the previous 12 months16.1.4 Proportion of population that feel
5.2.s1 Number of reported gender-based violence cases (includes e-VAW)5.2.s2 Number of reported abuse cases for women and children16.1.1 Number of victims of intentional homicide per 100,000 population by sex and by age16.1.s1 Number of murder cases
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AGENCY TIER 3 TIER 2 TIER 1against or harassed in the previous 12 months on the basis of a ground of discrimination prohibited under international human rights law
safe walking alone around the area they live16.2.1 Proportion of children aged 1-17 years who experienced any physical punishment and/or psychological aggression by caregivers in the past month16.2.2 Number of victims of human trafficking per 100,000 population, by sex, age and form of exploitation16.2.3 Proportion of young women and men aged 18 29 years who experienced sexual violence by age 1816.3.1 Proportion of victims of violence in the previous 12 months who reported their victimization to competent authorities or other officially recognized conflict resolution mechanisms16.3.2 Unsentenced detainees as a proportion of overall prison population16.4.2 Proportion of seized, found or surrendered arms whose illicit origin or context has been traced or established by a competent authority in line with international instruments16.10.1 Number of verified cases of killing, kidnapping, enforced disappearance, arbitrary detention and torture of journalists, associated media personnel, trade unionists and human rights advocates in the previous 12 months
16.1.s2 Monthly average index crime rate
CSCPSA
16.5.2 Proportion of businesses that had at least one contact with a public official and that paid a bribe to a public official, or were asked for a bribe by those public officials during the previous 12 months
16.5.1 Proportion of persons who had at least one contact with a public official and who paid a bribe to a public official, or were asked for a bribe by those public officials during the previous 12 months
DBM 1.a.1 Proportion of domestically generated resources allocated by the government directly to poverty reduction programmes 1.b.1 Proportion of government recurrent and capital spending to sectors that disproportionately benefit women, the poor and vulnerable groups
1.a.2 Proportion of total government spending on essential services16.6.1 Primary government expenditures as a proportion of original approved budget, by sector (or by budget codes or similar)
CSC 16.6.2 Proportion of the population satisfied with their last experience of public services
16.7.1 Proportions of positions (by sex, age, persons with disabilities and population groups) in public institutions (national and local legislatures, public service, and judiciary) compared to national distributions
DA 2.4.1 Proportion of agricultural area under productive and sustainable agriculture
2.b.1 Agricultural export subsidies
NTC 5.b.1 Proportion of individuals who own a mobile telephone, by sex9.c.1 Proportion of population covered by a mobile network, by technology
WWRRC 6.4.2 Level of water stress: freshwater withdrawal as a proportion of available freshwater resources
NEDA 3.b.2 Total net official development assistance to medical research and basic health sectors
9.a.1 Total official international support (official development assistance plus other official flows) to infrastructure10.b.1 Total resource flows for development, by recipient and donor countries and type of flow (e.g. official development assistance, foreign direct investment and other flows)
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AGENCY TIER 3 TIER 2 TIER 1DICT 17.6.2 Fixed Internet broadband
subscriptions per 100 inhabitants, by speed
DOLE 8.8.2 Increase in national compliance of labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislation, by sex and migrant status
DOT 8.9.2 Number of jobs in tourism industries as a proportion of total jobs and growth rate of jobs, by sex12.b.1 Number of sustainable tourism strategies or policies and implemented action plans with agreed monitoring and evaluation tools
POPCOM 5.6.1 Proportion of women aged 15-49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care
DSWD, DEPED DOHPSA
1.4.1 Proportion of population living in households with access to basic services
DADENR
2.5.1 Number of plant and animal genetic resources for food and agriculture secured in either medium or long-term conservation facilities
DA, DBM 2.a.1 The agriculture orientation index for government expenditures
DA, DBM 2.a.2 Total official flows (official development assistance plus other official flows) to the agriculture sector
PSA/DTI 2.c.1 Indicator of food price anomaliesDSWD/DOH
4.2.1 Proportion of children under 5 years of age who are developmentally on track in health, learning and psychosocial well-being, by sex
TESDACHED
4.4.1 Proportion of youth and adults with information and communications technology (ICT) skills, by type of skill
DepEdCHEDTESDA DOST
4.b.1 Volume of official development assistance flows for scholarships by sector and type of study
DILGNEDADSWD
5.1.1 Whether or not legal frameworks are in place to promote, enforce and monitor equality and non discrimination on the basis of sex
HUDCCHLURB
11.1.1 Proportion of urban population living in slums, informal settlements or inadequate housing
NCIPDOTNCAA
11.4.1 Total expenditure (public and private) per capita spent on the preservation, protection and conservation of all cultural and natural heritage, by type of heritage (cultural, natural, mixed and World Heritage Centre designation), level of government (national, regional and local/municipal), type of expenditure (operating expenditure/investment) and type of private funding (donations in kind, private non-profit sector and sponsorship)
LGUs/ NAMRIA
11.7.1 Average share of the built-up area of cities that is open space for public
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AGENCY TIER 3 TIER 2 TIER 1use for all, by sex, age and persons with disabilities
DSWD, DEPED, DOH,PSA
1.3.1 Proportion of population covered by social protection floors/systems, by sex, distinguishing children, unemployed persons, older persons, persons with disability, pregnant women, newborns, work-injury victims and the poor and the vulnerable
DA,DENR, NCIP
1.4.2 Proportion of total adult population with secure tenure rights to land, with legally recognized documentation and who perceive their rights to land as secure, by sex and by type of tenure
DAR,PSA 2.3.1 Volume of production per labour unit by classes of farming/pastoral/forestry enterprise size
DTI,DOSTDA
2.3.2 Average income of small-scale food producers, by sex and indigenous status
DADENR
2.5.2 Proportion of local breeds classified as being at risk, not-at-risk or at unknown level of risk of extinction
DOHPSA
3.4.2 Suicide mortality rate
DOH DSWD
3.5.1 Coverage of treatment interventions (pharmacological, psychosocial and rehabilitation and aftercare services) for substance use disorders
Multiple agencies
3.9.1 Mortality rate attributed to household and ambient air pollution5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location
CSC/DOLE 8.5.1 Average hourly earnings of female and male employees, by occupation, age and persons with disabilities
DOLE/DSWD
8.7.1 Proportion and number of children aged 5 17 years engaged in child labour, by sex and age
PSA/DPWH 9.1.1 Proportion of the rural population who live within 2 km of an all-season road
DTIDOST
9.3.1 Proportion of small-scale industries in total industry value added
DTIDOST
9.3.2 Proportion of small-scale industries with a loan or line of credit9.b.1 Proportion of medium and high-tech industry value added in total value added
CHRCSCDSWD
10.3.1 Proportion of the population reporting having personally felt discriminated against or harassed within the previous 12 months on the basis of a ground of discrimination prohibited under international human rights law
LTO DPWH
11.2.1 Proportion of population that has convenient access to public transport, by sex, age and persons with disabilities
PSA 11.3.2 Proportion of cities with a direct participation structure of civil society in urban planning and management that operate regularly and democratically
NEDAPSAHLURBDILG
11.a.1 Proportion of population living in cities that implement urban and regional development plans integrating population
73 | Page
AGENCY TIER 3 TIER 2 TIER 1projections and resource needs, by size of city
PEZADENR
12.6.1 Number of companies publishing sustainability reports
Multiple agencies
12.8.1 Extent to which (i) global citizenship education and (ii) education for sustainable development (including climate change education) are mainstreamed in (a) national education policies; (b) curricula; (c) teacher education; and (d) student assessment
Multiple agencies
12.c.1 Amount of fossil-fuel subsidies per unit of GDP (production and consumption) and as a proportion of total national expenditure on fossil fuels
Multiple agencies
16.7.2 Proportion of population who believe decision-making is inclusive and responsive, by sex, age, disability and population group
74 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xGo
al 1.
End
pove
rty in
all it
s for
ms e
very
wher
eTa
rget
1.1:
By 20
30, e
radi
cate
extre
me p
over
ty fo
r all p
eopl
e eve
rywh
ere,
curre
ntly
mea
sure
d as
peo
ple l
iving
on
less t
han
$1.25
a da
y1.1
.1 Pr
opor
tion o
f pop
ulatio
n belo
w the
int
erna
tiona
l pov
erty
line,
by se
x, ag
e, em
ploym
ent s
tatus
and g
eogr
aphic
al loc
ation
(urb
an/ru
ral)
2PS
A1
10
1
Targ
et 1.
2: B
y 203
0, re
duce
at le
ast b
y half
the p
ropo
rtion
of m
en, w
omen
and
child
ren
of al
l age
s livi
ng in
pov
erty
in al
l its d
imen
sions
acco
rdin
g to
nat
iona
l defi
nitio
ns
1.2.1
Prop
ortio
n of p
opula
tion l
iving
below
the
natio
nal p
over
ty lin
e, by
sex a
nd ag
e1
PSA
FIES
AP
IS
Pove
rty In
ciden
ce is
the p
ropo
rtion o
f ind
ividu
als w
ith pe
r cap
ita in
come
less
tha
n the
pove
rty th
resh
olds
P =
(Q/n)
x 10
0Y
YY
N1
11
1
Ever
y 3
year
s FIE
S;
Non-
FIES
ye
ars A
PIS
1.2.2
Prop
ortio
n of m
en, w
omen
and
child
ren o
f all a
ges l
iving
in po
verty
in
all its
dime
nsion
s acc
ordin
g to n
ation
al de
finitio
ns
3PS
A
Targ
et 1.
3: Im
plem
ent n
atio
nally
appr
opria
te so
cial p
rote
ctio
n sy
stem
s and
mea
sure
s for
all, i
nclu
ding
floo
rs, a
nd b
y 203
0 ach
ieve s
ubst
antia
l cov
erag
e of t
he p
oor a
nd th
e vul
nera
ble
1.3.1
Prop
ortio
n of p
opula
tion c
over
ed
by so
cial p
rotec
tion fl
oors/
syste
ms, b
y se
x, dis
tingu
ishing
child
ren,
unem
ploye
d pe
rsons
, olde
r per
sons
, per
sons
with
dis
abilit
y, pr
egna
nt wo
men,
newb
orns
, wo
rk-inj
ury v
ictim
s and
the p
oor a
nd th
e vu
lnera
ble
3
DSW
D,
DEPE
D,
DOH,
PS
A
1.3.1s
1 Pro
portio
n of p
opula
tion p
rovid
ed
with
socia
l pro
tectio
n with
the f
ollow
ing:
KALA
HI, S
LP, S
FP, A
ICS,
and C
CT1
DSW
DAd
min
Data
YY
YN
1
Quar
terly
Targ
et 1.
4: B
y 203
0, en
sure
that
all m
en an
d wo
men
, in p
artic
ular
the p
oor a
nd th
e vul
nera
ble,
have
equa
l rig
hts t
o ec
onom
ic re
sour
ces,
as w
ell as
acce
ss to
bas
ic se
rvice
s, ow
ners
hip
and
cont
rol o
ver l
and
and
othe
r for
ms o
f pr
oper
ty, in
herit
ance
, nat
ural
reso
urce
s, ap
prop
riate
new
tech
nolo
gy an
d fin
ancia
l ser
vices
, inclu
ding
micr
ofina
nce
1.4.1
Prop
ortio
n of p
opula
tion l
iving
in
hous
ehold
s with
acce
ss to
basic
servi
ces
2
DSW
D,
DEPE
D DO
HPS
A
75 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x
1.4.1p
1 Pro
portio
n of p
opula
tion l
iving
in
hous
ehold
s with
acce
ss to
basic
servi
ces
1PS
AND
HS
Perce
ntage
of w
omen
ages
15-4
9 with
a l
ive bi
rth in
the fi
ve ye
ars p
rece
eding
the
surve
y who
rece
ived a
ntena
tal
care
, deli
very
assis
tance
, and
postn
a-tal
care
from
healt
h per
sson
el for
the
most
rece
nt bir
th
Perce
ntage
of w
omen
ages
15-4
9 wi
th a l
ive bi
rth in
the fi
ve ye
ars
prec
eedin
g the
surve
y who
rece
ived
anten
atal c
are,
deliv
ery a
ssist
ance
, an
d pos
tnatal
care
from
healt
h per
s-so
nel fo
r the
mos
t rec
ent b
irth is
the
numb
er of
wom
en ag
es 15
-49 w
ith a
live b
irth in
the fi
ve ye
ars p
rece
eding
the
surve
y who
rece
ived a
ntena
tal
care
, deli
very
assis
tance
, and
postn
a-tal
care
from
healt
h per
sson
el for
the
most
rece
nt bir
th div
ided b
y the
total
nu
mber
of w
omen
ages
15-4
9 with
a liv
e birth
in th
e five
year
s pre
ceed
ing
the su
rvey
YN
NN
11
0
1.4.1.
p2 P
erce
ntage
of al
l wom
en an
d cu
rrentl
y mar
ried w
omen
ages
15-4
9 wh
o hav
e eve
r use
d any
contr
acep
tive
metho
ds
1PS
AND
HSPe
rcenta
ge of
all w
omen
and c
urre
ntly
marri
ed w
omen
ages
15-4
9 who
have
ev
er us
ed an
y con
trace
ptive
meth
ods
Perce
ntage
of al
l wom
en an
d cu
rrentl
y mar
ried w
omen
ages
15-4
9 wh
o hav
e eve
r use
d any
contr
a-ce
ptive
meth
ods i
s the
numb
er of
wo
men a
nd cu
rrentl
y mar
ried w
omen
ag
es 15
-49 w
ho ha
ve ev
er us
ed an
y co
ntrac
eptiv
e meth
ods d
ivide
d by t
he
total
numb
er of
wom
en an
d cur
rentl
y ma
rried
wom
en ag
es 15
-49
YY
YN
11
0
N/A
5 yea
rs
1.4.1p
3 Per
centa
ge of
popu
lation
that
visite
d a he
alth f
acilit
y or s
ough
t adv
ice
or tr
eatm
ent in
the 3
0 day
s pre
ceed
ing
the su
rvey
1PS
AND
HS
Perce
ntage
of po
pulat
ion th
at vis
ited
a hea
lth fa
cility
or so
ught
advic
e or
treatm
ent in
the 3
0 day
s pre
ceed
ing
the su
rvey
Perce
ntage
of po
pulat
ion th
at vis
ited
a hea
lth fa
cility
or so
ught
advic
e or
treatm
ent in
the 3
0 day
s pre
ceed
ing
the su
rvey
YN
NN
11
0
N/A
5 yea
rs
1.4.1p
4 Net
Enro
lmen
t Rate
in
kinde
rgar
ten1
DEPE
DEB
IES
The e
nrolm
ent in
elem
entar
y of th
e offi
cial s
choo
l age
-gro
up ex
pres
sed
as a
perce
ntage
of th
e cor
resp
ondin
g po
pulat
ion.
NER-
Ratio
of th
e enr
olmen
t for t
he
age g
roup
corre
spon
ding t
o the
offi
cial s
choo
l age
in th
e elem
entar
y lev
el to
the po
pulat
ion of
the s
ame
age g
roup
in a
given
year
YY
YY
11
1
1An
nual
1.4.1p
5 Net
Enro
lmen
t Rate
in el
emen
tary
1DE
PED
EBIE
STh
e enr
olmen
t in el
emen
tary o
f the
officia
l sch
ool a
ge-g
roup
expr
esse
d as
a per
centa
ge of
the
NER-
Ratio
of th
e enr
olmen
t for t
he
age g
roup
corre
spon
ding t
o the
offi
cial s
choo
l age
in th
e elem
entar
yY
YY
Y1
11
1
Annu
al
76 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x
corre
spon
ding p
opula
tion
level
to the
popu
lation
of th
e sam
e ag
e gro
up in
a giv
en ye
ar
1.4.1p
6 Net
Enro
lmen
t Rate
in se
cond
ary
educ
ation
1DE
PED
EBIE
S
The e
nrolm
ent in
seco
ndar
y edu
ca-
tion o
f the o
fficial
scho
ol ag
e-gr
oup
expr
esse
d as a
perce
ntage
of th
e co
rresp
ondin
g pop
ulatio
n.
NER-
Ratio
of th
e enr
olmen
t for t
he
age g
roup
corre
spon
ding t
o the
offi
cial s
choo
l age
in th
e Y
YY
Y1
11
1
Annu
al
1.4.1
p7 P
ropo
rtion o
f fami
lies w
ith ac
cess
to
safe
water
supp
ly1
DOH
FHSI
S
Prop
ortio
n of fa
milie
s with
acce
ss to
sa
fe wa
ter su
pply
– The
ratio
of th
e nu
mber
of fa
milie
s who
acce
ss w
ater
from
comm
unity
wate
r sys
tem (p
iped
into t
heir d
wellin
g, ya
rd/pl
ot or
publi
c tap
) and
prote
cted w
ells,
to the
total
nu
mber
of fa
milie
s.
Prop
ortio
n of fa
milie
s with
acce
ss to
sa
fe wa
ter su
pply
– The
ratio
of th
e nu
mber
of fa
milie
s who
acce
ss w
ater
from
comm
unity
wate
r sys
tem (p
iped
into t
heir d
wellin
g, ya
rd/pl
ot or
publi
c tap
) and
prote
cted w
ells,
to the
total
nu
mber
of fa
milie
s.
YY
YY
11
0
0An
nual
1.4.1.
p8 P
ropo
rtion o
f pop
ulatio
n livi
ng in
ho
useh
olds w
ith ac
cess
to sa
nitar
y fac
ility
1PS
ACP
H
Prop
ortio
n of fa
milie
s with
sanit
ary
toilet
– Th
e rati
o of th
e num
ber o
f fam
ilies w
ith flu
sh to
ilet (
eithe
r own
ed
or sh
ared
) and
clos
e pit,
to the
total
nu
mber
of fa
milie
s.
Prop
ortio
n of fa
milie
s with
sanit
ary
toilet
– Th
e rati
o of th
e num
ber o
f fam
ilies w
ith flu
sh to
ilet (
eithe
r own
ed
or sh
ared
) and
clos
e pit,
to the
total
nu
mber
of fa
milie
s.
YY
YY
11
0
05y
ears
1.4.1.
p9 P
ropo
rtion o
f fami
lies w
ith ow
ned
or ow
ner-l
ike po
sses
sion o
f hou
sing u
nits
1PS
AAP
ISTh
e rati
o of th
e num
ber o
f fami
lies
with
hous
ing un
it own
ed or
amor
tized
to
the to
tal nu
mber
of fa
milie
s.
he ra
tio of
the n
umbe
r of fa
milie
s with
ho
using
unit o
wned
or am
ortiz
ed to
the
total
numb
er of
fami
lies.
YN
NN
11
0
N/A
Annu
al
1.4.2
Prop
ortio
n of to
tal ad
ult po
pulat
ion
with
secu
re te
nure
rights
to la
nd, w
ith
legall
y rec
ogniz
ed do
cume
ntatio
n and
who
pe
rceive
their
rights
to la
nd as
secu
re, b
y se
x and
by ty
pe of
tenu
re
3DA
, DE
NR,
NCIP
1
1.4.2.
p10 P
ropo
rtion o
f fami
lies w
hich o
wn
hous
e and
lot o
r own
er-lik
e pos
sess
ion of
ho
use a
nd lo
t; ren
t hou
se/ro
om in
cludin
g lot
; own
hous
e, re
nt lot
; own
hous
e, re
nt-fre
e lot
with
cons
ent o
f own
er; r
ent-f
ree
hous
e and
lot w
ith co
nsen
t of o
wner
1PS
AAP
IS
Prop
ortio
n of fa
milie
s whic
h own
ho
use a
nd lo
t or o
wner
-like p
osse
s-sio
n of h
ouse
and l
ot; re
nt ho
use/
room
inclu
ding l
ot; ow
n hou
se, r
ent
lot; o
wn ho
use,
rent-
free l
ot wi
th co
nsen
t of o
wner
; ren
t-fre
e hou
se an
d lot
with
cons
ent o
f own
er
Total
numb
er of
fami
lies w
hich
own h
ouse
and l
ot or
owne
r-like
po
sses
sion o
f hou
se an
d lot;
rent
hous
e/roo
m inc
luding
lot; o
wn ho
use,
rent
lot; o
wn ho
use,
rent-
free l
ot wi
th co
nsen
t of o
wner
; ren
t-fre
e hou
se
and l
ot wi
th co
nsen
t of o
wner
divid
ed
by to
tal nu
mber
of fa
milie
s
YN
NN
11
0
N/A
Annu
al
77 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
1.5:
By 2
030,
build
the r
esilie
nce o
f the
poo
r and
thos
e in
vuln
erab
le sit
uatio
ns an
d re
duce
their
expo
sure
and
vuln
erab
ility t
o cli
mat
e-re
lated
extre
me e
vent
s and
oth
er ec
onom
ic, so
cial a
nd en
viron
men
tal s
hock
s and
di
sast
ers
1.5.1
Numb
er of
death
s, mi
ssing
perso
ns
and d
irectl
y affe
cted p
erso
ns at
tribute
d to
disas
ters p
er 10
0,000
popu
lation
1OC
D
Affec
ted: T
he to
tal nu
mber
of af
fected
ind
ividu
als or
popu
lace (
the fa
mily
head
and i
ts de
pend
ents)
resid
ing
in the
affec
ted ba
rang
ays o
f a
munic
ipality
or ci
ty.Di
splac
ed In
side
Evac
uatio
n Cen
ters:T
he to
tal nu
mber
of
affec
ted in
dividu
als or
popu
lace
(the f
amily
head
and i
ts de
pend
ents)
wh
o too
k pre
-emp
tive e
vacu
ation
pr
ior to
the o
nslau
ght o
f the d
isaste
r; or
who
soug
ht tem
pora
ry re
fuge
due t
o the
disa
ster, i
n an e
vacu
ation
ce
nter.D
isplac
ed O
utside
Eva
cuati
on
Cente
rs:Th
e tota
l num
ber o
f affe
cted
indivi
duals
or po
pulac
e (the
fami
ly he
ad an
d its
depe
nden
ts) w
ho to
ok
pre-
empti
ve ev
acua
tion p
rior t
o the
on
slaug
ht of
the di
saste
r; or
who
so
ught
tempo
rary
refug
e due
to th
e dis
aster
eithe
r to t
heir r
elativ
es’ o
r frie
nd’s
hous
e.
Affec
ted pe
ople
will b
e calc
ulated
as
summ
ation
of af
fected
indiv
iduals
or
popu
lace (
the fa
mily
head
and
its de
pend
ents)
resid
ing in
the
affec
ted ba
rang
ays o
f a m
unici
pality
or
city.
Disp
laced
Insid
e Eva
cuati
on
Cente
rswill
be ca
lculat
ed as
the
summ
ation
of af
fected
indiv
iduals
or
popu
lace (
the fa
mily
head
and i
ts de
pend
ents)
who
took
pre-
empti
ve
evac
uatio
n prio
r to t
he on
slaug
ht of
the di
saste
r; or
who
soug
ht tem
pora
ry re
fuge d
ue to
the d
isaste
r, in a
n ev
acua
tion c
enter
.Disp
laced
Outs
ide
Evac
uatio
n Cen
tersis
calcu
lated
as
summ
ation
of af
fected
indiv
iduals
or
popu
lace (
the fa
mily
head
and i
ts de
pend
ents)
who
took
pre-
empti
ve
evac
uatio
n prio
r to t
he on
slaug
ht of
the di
saste
r; or
who
soug
ht tem
pora
ry re
fuge d
ue to
the d
isaste
r eith
er to
the
ir rela
tives
’ or f
riend
’s ho
use.
NN
NN
11
1
1An
nual
1.5.3
Numb
er of
coun
tries t
hat a
dopt
and i
mplem
ent n
ation
al dis
aster
risk
redu
ction
stra
tegies
in lin
e with
the S
enda
i Fr
amew
ork f
or D
isaste
r Risk
Red
uctio
n 20
15-2
030
N/A
DILG
Numb
er of
coun
tries t
hat a
dopt
and
imple
ment
natio
nal d
isaste
r risk
re
ducti
on st
rateg
ies in
line w
ith th
e Se
ndai
Fram
ewor
k for
Disa
ster R
isk
Redu
ction
2015
-203
0
Summ
ation
of th
e num
ber o
f cou
n-trie
s tha
t ado
pt an
d imp
lemen
t nati
on-
al dis
aster
risk r
educ
tion s
trateg
ies
in lin
e with
the S
enda
i Fra
mewo
rk for
Di
saste
r Risk
Red
uctio
n 201
5-20
30
11
1
1
1.5.4
Prop
ortio
n of lo
cal g
over
nmen
ts tha
t ad
opt a
nd im
pleme
nt loc
al dis
aster
risk
redu
ction
stra
tegies
in lin
e with
natio
nal
disas
ter ris
k red
uctio
n stra
tegies
1DI
LG
Prop
ortio
n of lo
cal g
over
nmen
ts tha
t ad
opt a
nd im
pleme
nt loc
al dis
aster
ris
k red
uctio
n stra
tegies
in lin
e with
na
tiona
l disa
ster r
isk re
ducti
on
strate
gies
Total
numb
er of
loca
l gov
ernm
ents
that a
dopt
and i
mplem
ent lo
cal d
i-sa
ster r
isk re
ducti
on st
rateg
ies in
line
with
natio
nal d
isaste
r risk
redu
ction
str
ategie
s divi
ded b
y the
total
loca
l go
vern
ments
YN
NY
11
1
1
Targ
et 1.
a: E
nsur
e sig
nific
ant m
obiliz
atio
n of
reso
urce
s fro
m a
varie
ty o
f sou
rces
, inclu
ding
thro
ugh
enha
nced
dev
elopm
ent c
oope
ratio
n, in
ord
er to
pro
vide a
dequ
ate a
nd p
redi
ctab
le m
eans
for d
evelo
ping
coun
tries
, in p
artic
ular
lea
st d
evelo
ped
coun
tries
, to
impl
emen
t pro
gram
mes
and
polic
ies to
end
pove
rty in
all it
s dim
ensio
ns
78 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x1.a
.1 Pr
opor
tion o
f dom
estic
ally g
ener
ated
reso
urce
s allo
cated
by th
e gov
ernm
ent
direc
tly to
pove
rty re
ducti
on pr
ogra
mmes
3DB
M
1.a.1.
p1 P
ropo
rtion o
f CCT
budg
et/ex
pen-
ditur
e as d
irect
pove
rty re
ducti
on pr
ogra
m to
the na
tiona
l bud
get/e
xpen
ditur
e1
DSW
DPr
opor
tion o
f CCT
budg
et/ex
pend
iture
as
dire
ct po
verty
redu
ction
prog
ram
to the
natio
nal b
udge
t/exp
endit
ure
NN
NN
11
1
1.a.2
Prop
ortio
n of to
tal go
vern
ment
spen
ding o
n ess
entia
l ser
vices
1DB
M
Prop
ortio
n of to
tal go
vern
ment
spen
ding o
n ess
entia
l ser
vices
(e
duca
tion,
healt
h and
socia
l pr
otecti
on)
N
NN
N1
10
0
1.a.3
Sum
of tot
al gr
ants
and
non-
debt-
creati
ng in
flows
dire
ctly a
lloca
ted
to po
verty
redu
ction
prog
ramm
es as
a pr
opor
tion o
f GDP
3PS
A
Sum
of tot
al gr
ants
and n
on-d
ebt-
creati
ng in
flows
dire
ctly a
lloca
ted to
po
verty
redu
ction
prog
ramm
es as
a pr
opor
tion o
f GDP
1
10
N/
A
Targ
et 1.
b: C
reat
e sou
nd p
olicy
fram
ewor
ks at
the n
atio
nal, r
egio
nal a
nd in
tern
atio
nal le
vels,
bas
ed o
n pr
o-po
or an
d ge
nder
-sen
sitive
dev
elopm
ent s
trate
gies
, to
supp
ort a
ccele
rate
d in
vest
men
t in
pove
rty er
adica
tion
actio
ns
1.b.1
Prop
ortio
n of g
over
nmen
t rec
urre
nt an
d cap
ital s
pend
ing to
secto
rs tha
t dis
prop
ortio
natel
y ben
efit w
omen
, the p
oor
and v
ulner
able
grou
ps
3DB
M
Goal
2: E
nd h
unge
r, ac
hiev
e foo
d se
curit
y and
impr
oved
nut
ritio
n an
d pr
omot
e sus
tain
able
agric
ultu
reTa
rget
2.1:
By 2
030,
end
hung
er an
d en
sure
acce
ss b
y all p
eopl
e, in
par
ticul
ar th
e poo
r and
peo
ple i
n vu
lner
able
situa
tions
, inclu
ding
infa
nts,
to sa
fe, n
utrit
ious
and
suffi
cient
food
all y
ear r
ound
2.1.1
Prev
alenc
e of u
nder
nour
ishme
nt2
DOST
FN
RI2.1
.2 Pr
evale
nce o
f mod
erate
or se
vere
foo
d ins
ecur
ity in
the p
opula
tion,
base
d on
the F
ood I
nsec
urity
Exp
erien
ce S
cale
(FIE
S)
3DO
ST
FNRI
2.1.1.
p1 P
ropo
rtion o
f hou
seho
lds m
eetin
g 10
0% re
comm
ende
d ene
rgy i
ntake
1DO
ST
FNRI
NNS
The l
evel
of int
ake o
f ene
rgy o
r ess
en-
tial n
utrien
t in re
lation
to th
e ene
rgy/
nutrie
nt re
quire
ment
for ad
equa
te he
alth,
which
is ex
pres
sed a
s per
cent-
age o
f rec
omme
nded
ener
gy an
d nu
trient
intak
e (RE
NI)
total
numb
er of
hous
ehold
s mee
ting
100%
reco
mmen
ded e
nerg
y inta
ke
divide
d by t
he to
ral n
umbe
r of
hous
ehold
s
YN
NN
11
0
N/A
79 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
2.2:
By 2
030,
end
all fo
rms o
f maln
utrit
ion,
inclu
ding
achi
evin
g, b
y 202
5, th
e int
erna
tiona
lly ag
reed
targ
ets o
n st
untin
g an
d wa
stin
g in
child
ren
unde
r 5 ye
ars o
f age
, and
addr
ess t
he n
utrit
iona
l nee
ds o
f ado
lesce
nt g
irls,
preg
nant
and
lacta
ting
wom
en an
d ol
der p
erso
ns
2.2.1
Prev
alenc
e of s
tuntin
g (he
ight fo
r ag
e <-2
stan
dard
devia
tion f
rom
the
media
n of th
e Wor
ld He
alth O
rgan
izatio
n (W
HO) C
hild G
rowt
h Stan
dard
s) am
ong
child
ren u
nder
5 ye
ars o
f age
1DO
ST-
FNRI
/ NN
C
NNS/
Oper
ation
Tim
bang
*An i
ndica
tor th
at is
used
to de
termi
ne
past
or ch
ronic
nutrit
ional
status
of
child
ren 0
-10 y
ears
old w
here
each
ch
ild’s
actua
l heig
ht/len
gth is
com-
pare
d with
the s
tanda
rd or
refer
ence
he
ight/le
ngth
for hi
s/her
age
Comp
utatio
n of s
tanda
rd de
viatio
n (S
D) sc
ore o
f the i
ndivi
dual:
SD
scor
e =
(heig
ht of
indivi
dual
- med
ian
value
of he
ight fo
r age
of re
feren
ce
popu
lation
) / (S
D va
lue of
refer
ence
po
pulat
ion)
YY
YN
11
1
1
2.2.2
Prev
alenc
e of m
alnutr
ition (
weigh
t for
heigh
t >+2
or <
-2 st
anda
rd de
viatio
n fro
m the
med
ian of
the W
HO C
hild G
rowt
h St
anda
rds)
amon
g chil
dren
unde
r 5 ye
ars
of ag
e, by
type
(was
ting a
nd ov
erwe
ight)
1DO
ST-
FNRI
/ NN
C
NNS/
Oper
ation
Tim
bang
An in
dicato
r for
the a
sses
smen
t of
grow
th of
child
ren 0
-10 y
ears
old
which
comp
ares
the w
eight
of ea
ch
child
to th
e weig
ht of
a refe
renc
e po
pulat
ion of
the s
ame h
eight
or
length
Comp
utatio
n of s
tanda
rd de
viatio
n (S
D) sc
ore o
f the i
ndivi
dual:
SD
scor
e =
(weig
ht of
indivi
dual
- med
ian va
lue
of we
ight fo
r heig
ht of
refer
ence
po
pulat
ion) /
(SD
value
of re
feren
ce
popu
lation
YY
YN
11
1
2.2.2.
1 Pre
valen
ce of
maln
utritio
n for
ch
ildre
n und
er 5
year
s <-2
SD
from
the
media
n of th
e WHO
CGS
(was
ting)
1DO
ST-
FNRI
/ NN
C
An in
dicato
r for
the a
sses
smen
t of
grow
th of
child
ren 0
-10 y
ears
old
which
comp
ares
the w
eight
of ea
ch
child
to th
e weig
ht of
a refe
renc
e po
pulat
ion of
the s
ame h
eight
or
length
Comp
utatio
n of s
tanda
rd de
viatio
n (S
D) sc
ore o
f the i
ndivi
dual:
SD
scor
e =
(weig
ht of
indivi
dual
- med
ian va
lue
of we
ight fo
r heig
ht of
refer
ence
po
pulat
ion) /
(SD
value
of re
feren
ce
popu
lation
2.2.2.
2 Pre
valen
ce of
maln
utritio
n for
ch
ildre
n und
er 5
year
s <+2
SD
from
the
media
n of th
e WHO
CGS
(ove
rweig
ht)1
DOST
- FN
RI/
NNC
An in
dicato
r for
the a
sses
smen
t of
grow
th of
child
ren 0
-10 y
ears
old
which
comp
ares
the w
eight
of ea
ch
child
to th
e weig
ht of
a refe
renc
e po
pulat
ion of
the s
ame h
eight
or
length
Comp
utatio
n of s
tanda
rd de
viatio
n (S
D) sc
ore o
f the i
ndivi
dual:
SD sc
ore =
(we
ight o
f indiv
idual
- me
dian v
alue o
f weig
ht for
heigh
t of
refer
ence
popu
lation
) / (S
D va
lue of
re
feren
ce po
pulat
ion
2.2.s1
Pre
valen
ce of
micr
onutr
ient d
efi-
cienc
ies (V
it. A,
Iron
)1
DOST
- FN
RI/
NNC
NNS/
Oper
ation
Tim
bang
Micro
nutrie
nt Ma
lnutrit
ion –
a co
nditio
n res
ulting
from
a de
ficien
cy of
su
pply
to the
tissu
es of
micr
onutr
ients,
Numb
er of
popu
lation
that
are v
itami
n A
defic
ient d
ivide
d by t
he to
tal
numb
er of
popu
lation
YN
NN
11
0
1
80 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xMi
cronu
trient
Malnu
trition
– a c
on-
dition
resu
lting f
rom
a defi
cienc
y of
supp
ly to
the tis
sues
of m
icron
utrien
ts,
notab
ly vit
amin
A, iro
n, an
d iod
ine,
arisi
ng fr
om a
defic
iency
in th
e diet
, los
ses f
rom
the bo
dy, o
r impr
oper
uti
lizati
on of
food
Vita
min A
Defi
cienc
y (VA
D) –
a co
nditio
n tha
t cov
ers a
ll phy
siolog
ical
distur
banc
es ca
used
by lo
w vit
amin
A lev
el, in
cludin
g sub
clinic
al an
d clin
ical
signs
and s
ympto
ms an
d is m
easu
red
using
the p
lasma
retin
ol lev
el Ir
on D
eficie
ncy A
nemi
a (ID
A) –
a con
-dit
ion th
at oc
curs
when
the a
moun
t of
iron a
bsor
bed b
y the
body
is to
o sma
ll to
meet
the bo
dy’s
dema
nds,
which
ma
y be d
ue to
insu
fficien
t iron
intak
e, re
duce
d bioa
vaila
bility
of di
etary
iron,
chro
nic bl
ood l
oss,
and/o
r incre
ased
iro
n req
uirem
ents,
as oc
curri
ng
durin
g pre
gnan
cy or
the p
eriod
of
grow
th, an
d is m
easu
red u
sing t
he
hemo
globin
leve
l
Numb
er of
popu
lation
with
IDA
divide
d by t
he to
tal nu
mber
of
popu
lation
2.2.s2
Pre
valen
ce of
exclu
sive b
reas
t-fee
ding
1DO
ST-
FNRI
/ NN
C
NNS/
Oper
ation
Tim
bang
The n
umbe
r of in
fants
unde
r 6
month
s old
who a
re fe
d exc
lusive
ly wi
th br
east
milk
as a
prop
ortio
n of a
ll inf
ants
unde
r 6 m
onths
old.
numb
er of
infan
ts ag
ed 0-
6 mon
ths
who a
re ex
clusiv
ely br
eastf
ed di
vided
by
the t
otal n
umbe
r of in
fants
aged
0-
6 mon
ths
YN
NN
11
0
N/A
Targ
et 2.
3: B
y 203
0, do
uble
the a
gricu
ltura
l pro
duct
ivity
and
inco
mes
of s
mall
-sca
le fo
od p
rodu
cers
, in p
artic
ular
wom
en, in
dige
nous
peo
ples
, fam
ily fa
rmer
s, pa
stor
alist
s and
fish
ers,
inclu
ding
thro
ugh
secu
re an
d eq
ual a
cces
s to
land,
oth
er p
rodu
ctive
reso
urce
s and
inpu
ts, k
nowl
edge
, fina
ncial
serv
ices,
mar
kets
and
oppo
rtuni
ties f
or va
lue a
dditi
on an
d no
n-fa
rm em
ploy
men
t 2.3
.1 Vo
lume o
f pro
ducti
on pe
r labo
ur un
it by
clas
ses o
f farm
ing/pa
stora
l/fore
stry
enter
prise
size
3DA
, PS
A
2.3.2
Aver
age i
ncom
e of s
mall-s
cale
food
prod
ucer
s, by
sex a
nd in
digen
ous s
tatus
3DT
I, DO
ST,
DA
81 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
2.4:
By 2
030,
ensu
re su
stain
able
food
pro
duct
ion
syst
ems a
nd im
plem
ent r
esilie
nt ag
ricul
tura
l pra
ctice
s tha
t inc
reas
e pro
duct
ivity
and
prod
uctio
n, th
at h
elp m
ainta
in ec
osys
tem
s, th
at st
reng
then
capa
city f
or ad
apta
tion
to
clim
ate c
hang
e, ex
trem
e wea
ther
, dro
ught
, floo
ding
and
othe
r disa
ster
s and
that
pro
gres
sively
impr
ove l
and
and
soil q
ualit
y2.4
.1 Pr
opor
tion o
f agr
icultu
ral a
rea u
nder
pr
oduc
tive a
nd su
staina
ble ag
ricult
ure
3DA
Targ
et 2.
5: B
y 202
0, m
ainta
in th
e gen
etic
dive
rsity
of s
eeds
, cul
tivat
ed p
lants
and
farm
ed an
d do
mes
ticat
ed an
imals
and
their
relat
ed w
ild sp
ecies
, inclu
ding
thro
ugh
soun
dly m
anag
ed an
d di
vers
ified
seed
and
plan
t ban
ks at
the
natio
nal, r
egio
nal a
nd in
tern
atio
nal le
vels,
and
prom
ote a
cces
s to
and
fair
and
equi
tabl
e sha
ring
of b
enefi
ts ar
ising
from
the u
tiliza
tion
of g
enet
ic re
sour
ces a
nd as
socia
ted
tradi
tiona
l kno
wled
ge, a
s int
erna
tiona
lly ag
reed
2.5.1
Numb
er of
plan
t and
anim
al ge
netic
re
sour
ces f
or fo
od an
d agr
icultu
re se
cure
d in
eithe
r med
ium or
long
-term
cons
erva
-tio
n fac
ilities
2DA
DE
NR
2.5.2
Prop
ortio
n of lo
cal b
reed
s clas
sified
as
being
at ris
k, no
t-at-r
isk or
at un
know
n lev
el of
risk o
f exti
nctio
n3
DA
DENR
Targ
et 2.
a: In
crea
se in
vest
men
t, in
cludi
ng th
roug
h en
hanc
ed in
tern
atio
nal c
oope
ratio
n, in
rura
l infra
stru
ctur
e, ag
ricul
tura
l res
earc
h an
d ex
tens
ion
serv
ices,
tech
nolo
gy d
evelo
pmen
t and
plan
t and
lives
tock
gen
e ban
ks in
ord
er to
en
hanc
e agr
icultu
ral p
rodu
ctive
capa
city i
n de
velo
ping
coun
tries
, in p
artic
ular
leas
t dev
elope
d co
untri
es
2.a.1
The a
gricu
lture
orien
tation
inde
x for
go
vern
ment
expe
nditu
res
2DA
, DB
M2.a
.2 To
tal of
ficial
flows
(offic
ial de
velop
-me
nt as
sistan
ce pl
us ot
her o
fficial
flows
) to
the ag
ricult
ure s
ector
2DA
, DB
M
Targ
et 2.
b: C
orre
ct an
d pr
even
t tra
de re
stric
tions
and
dist
ortio
ns in
wor
ld ag
ricul
tura
l mar
kets
, inclu
ding
thro
ugh
the p
arall
el eli
min
atio
n of
all f
orm
s of a
gricu
ltura
l exp
ort s
ubsid
ies an
d all
expo
rt m
easu
res w
ith eq
uiva
lent e
ffect
, in
acco
rdan
ce w
ith th
e man
date
of t
he D
oha D
evelo
pmen
t Rou
nd2.b
.1 Ag
ricult
ural
expo
rt su
bsidi
es2
DATa
rget
2.c:
Ado
pt m
easu
res t
o en
sure
the p
rope
r fun
ctio
ning
of f
ood
com
mod
ity m
arke
ts an
d th
eir d
eriva
tives
and
facil
itate
tim
ely ac
cess
to m
arke
t inf
orm
atio
n, in
cludi
ng o
n fo
od re
serv
es, in
ord
er to
help
limit
extre
me f
ood
price
vo
latilit
y
2.c.1
Indica
tor of
food
price
anom
alies
2PS
A/DT
IGo
al 3:
Ens
ure h
ealth
y live
s and
pro
mot
e well
¬bein
g fo
r all a
t all a
ges
Targ
et 3.
1: B
y 203
0, re
duce
the g
loba
l mat
erna
l mor
talit
y rat
io to
less
than
70 p
er 10
0,000
live b
irths
3.1.1
Mater
nal m
ortal
ity ra
tio
1DO
HCi
vil R
eg-
istra
tion
Syste
m
The r
atio b
etwee
n the
numb
er of
wo
men w
ho di
ed (f
or re
ason
s of
preg
nant,
child
birth,
and p
uerp
erium
) Y
YY
N1
11
1
82 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xto
the nu
mber
of re
porte
d live
birth
s in
a give
rn ye
ar, ex
pres
sed a
s the
nu
mber
of m
atern
al de
ath
3.1.2
Prop
ortio
n of b
irths a
ttend
ed by
sk
illed h
ealth
perso
nnel
1DO
H/PS
AFH
SIS
The n
umbe
r of b
irths a
ttend
ed by
sk
illed h
ealth
profe
ssion
al as
a pe
rcenta
ge of
all li
vebir
ths.
(Total
numb
er of
birth
s atte
nded
by
skille
d hea
lth pr
ofess
ional
(doc
tors,
nurse
s and
midw
ives)
in a p
artic
ular
perio
d/Tota
l num
ber o
f live
births
in
the sa
me pe
riod)
x 10
0
YN
YN
11
11
1An
nuall
y
3.1.s1
Pro
portio
n of b
irths d
elive
red i
n a
healt
h fac
ility
1DO
HFH
SIS
Perce
ntage
of bi
rths d
elive
red i
n a
hosp
ital, c
linic
or in
stitut
ionPe
rcenta
ge of
birth
s deli
vere
d in a
ho
spita
l, clin
ic or
insti
tution
YN
NN
11
1
0An
nuall
y
Targ
et 3.
2: B
y 203
0, en
d pr
even
tabl
e dea
ths o
f new
born
s and
child
ren
unde
r 5 ye
ars o
f age
, with
all c
ount
ries a
imin
g to
redu
ce n
eona
tal m
orta
lity t
o at
leas
t as l
ow as
12 p
er 1,
000 l
ive b
irths
and
unde
r-5 m
orta
lity t
o at
leas
t as l
ow
as 25
per
1,00
0 live
birt
hs
3.2.1
Unde
r-five
mor
tality
rate
1DO
H/PS
A
1Pro
babil
ity of
dying
betw
een b
irth
and a
ge fiv
e, ex
pres
sed a
s the
nu
mber
of de
aths b
elow
age fi
ve pe
r 1,0
00 liv
e birth
s dur
ing a
given
perio
d.
(No.
of de
aths b
elow
age 5
durin
g a
given
perio
d/Tota
l live
birth
s dur
ing a
given
perio
d) x
1000
YY
YN
11
11
1An
nual
3.2.2
Neon
atal m
ortal
ity ra
te1
DOH
FHSI
S1T
he nu
mber
of de
aths w
ithin
the fir
st 28
days
of lif
e per
1,00
0 live
birth
s.
(Num
ber o
f dea
ths of
infan
ts wi
thin
the fir
st 28
days
of lif
e in a
partic
ular
perio
d/Tota
l live
birth
s in t
he sa
me
perio
d) x
1000
YN
NN
11
1
An
nual
3.2.s1
Infan
t Mor
tality
Rate
1DO
HFH
SIS
2the p
roba
bility
of dy
ing be
twee
n bir
th an
d age
one,
expr
esse
d as t
he
numb
er of
infan
t dea
ths or
death
s oc
curri
ng be
fore r
each
ing 12
mon
ths
of life
in a
given
perio
d per
1,00
0 live
bir
ths
(No.
of inf
ant d
eaths
unde
r 1 ye
ar ol
d in
a give
n per
iod/To
tal liv
e birth
s in a
giv
en pe
riod)
x 1,0
01Y
YY
N1
11
1
Annu
al
Targ
et 3.
3: B
y 203
0, en
d th
e epi
dem
ics o
f AID
S, tu
berc
ulos
is, m
alaria
and
negl
ecte
d tro
pica
l dise
ases
and
com
bat h
epat
itis,
wate
r-bor
ne d
iseas
es an
d ot
her c
omm
unica
ble d
iseas
es
3.3.1
Numb
er of
new
HIV
infec
tions
per
1,000
uninf
ected
popu
lation
, by s
ex, a
ge
and k
ey po
pulat
ions
3DO
HAd
min
Data
3.3.1.
p1Nu
mber
of ne
w HI
V inf
ectio
ns
(new
ly dia
gnos
ed ca
ses/y
ear)
1DO
HAd
min
Data
The n
umbe
r of n
ewly
diagn
osed
with
HI
V inf
ectio
n per
year
Comp
utatio
n fro
m DO
HY
YN
N1
10
1
Annu
al
3.3.2
Tube
rculos
is inc
idenc
e per
100,0
00
popu
lation
(per
100,0
00 in
DOH
)1
DOH
Admi
n Da
ta1T
he nu
mber
of ca
ses o
f tube
rculos
is pe
r 100
,000 p
opula
tion
1Num
ber o
f new
and r
elaps
e TB
case
s aris
ing in
a sp
ecific
perio
dY
YY
N1
11
11
Quar
terly
83 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xOV
ER To
tal es
timate
d pop
ulatio
n Th
is is
per 1
00,00
0 not
1,000
3.3.3
Malar
ia inc
idenc
e per
1,00
0 pop
ula-
tion (
per 1
00,00
0 in D
OH)
1DO
HAd
min
Data
1The
numb
er of
case
s of m
alaria
per
100,0
00 po
pulat
ion
1(Nu
mber
of m
alaria
case
s in a
pa
rticula
r per
iod / T
otal p
opula
tion i
n the
same
perio
d) x
100,0
00Y
NN
N1
11
11
Quar
terly
3.3.4
Hepa
titis B
incid
ence
per 1
00,00
0 po
pulat
ion2
DOH
3.3.5
Numb
er of
peop
le re
quirin
g inte
rven-
tions
again
st ne
glecte
d tro
pical
disea
ses
3DO
H
Targ
et 3.
4: B
y 203
0, re
duce
by o
ne th
ird p
rem
atur
e mor
talit
y fro
m n
on-c
omm
unica
ble d
iseas
es th
roug
h pr
even
tion
and
treat
men
t and
pro
mot
e men
tal h
ealth
and
well-
bein
g
3.4.1
Morta
lity ra
te att
ribute
d to c
ardio
vas-
cular
dise
ase,
canc
er, di
abete
s or c
hron
ic re
spira
tory d
iseas
e1
DOH/
PSA
Vital
St
atisti
cs
1Tota
l num
ber o
f mor
tality
betw
een
30 an
d 70 y
ears
of ag
e fro
m ca
rdiov
ascu
lar di
seas
es, c
ance
r, dia
betes
and c
hron
ic re
spira
tory
disea
ses O
VER
Total
numb
er of
po
pulat
ion in
the 3
0 to 7
0 age
grou
p
1Tota
l num
ber o
f mor
tality
betw
een
30 an
d 70 y
ears
of ag
e fro
m ca
rdio-
vasc
ular d
iseas
es, c
ance
r, diab
etes
and c
hron
ic re
spira
tory d
iseas
es / T
o-tal
numb
er of
popu
lation
in th
e 30 t
o 70
age g
roup
(ICD
10 C
odes
: I00-
I99,
C00-
C97,
E10-
E14,
J40-
J47)
YN
NN
11
1
1An
nual
3.4.2
Suici
de m
ortal
ity ra
te3
DOH,
PS
ATa
rget
3.5:
Stre
ngth
en th
e pre
vent
ion
and
treat
men
t of s
ubst
ance
abus
e, in
cludi
ng n
arco
tic d
rug
abus
e and
har
mfu
l use
of a
lcoho
l3.5
.1 Co
vera
ge of
trea
tmen
t inter
venti
ons
(pha
rmac
ologic
al, ps
ycho
socia
l and
re
habil
itatio
n and
after
care
servi
ces)
for
subs
tance
use d
isord
ers
3DO
H DS
WD
3.5.1.
p1 P
erce
ntage
of dr
ug ab
use c
ases
or
drug
user
s who
comp
leted
trea
tmen
t1
DOH
Integ
rat-
ed D
rug
Abus
e Da
ta In-
forma
tion
Netw
ork
NY
NN
11
1
1
3.5.2
Harm
ful us
e of a
lcoho
l, defi
ned a
c-co
rding
to th
e nati
onal
conte
xt as
alco
hol
per c
apita
cons
umpti
on (a
ged 1
5 yea
rs an
d olde
r) wi
thin a
calen
dar y
ear in
litre
s of
pure
alco
hol
1DO
ST-
FNRI
NNS
YN
NN
11
1
1
84 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
3.6:
By 2
020,
halve
the n
umbe
r of g
loba
l dea
ths a
nd in
jurie
s fro
m ro
ad tr
affic
accid
ents
3.6.1
Death
rate
due t
o roa
d tra
ffic in
juries
1PS
AVi
tal
Stati
stics
Re
port
The n
umbe
r of d
eaths
caus
ed by
land
tra
nspo
rt ac
ciden
ts [IC
D-10
code
s V0
1-V0
4, V0
6, V0
9-V8
0, V8
7, V8
9, V9
9] pe
r 100
,000 p
opula
tion
(Num
ber o
f dea
ths ca
used
by la
nd
trans
port
accid
ents
/ pop
ulatio
n) x
100,0
00Y
NN
N1
11
1
Targ
et 3.
7: B
y 203
0, en
sure
uni
vers
al ac
cess
to se
xual
and
repr
oduc
tive h
ealth
-car
e ser
vices
, inclu
ding
for f
amily
plan
ning
, info
rmat
ion
and
educ
atio
n, an
d th
e int
egra
tion
of re
prod
uctiv
e hea
lth in
to n
atio
nal s
trate
gies
and
pro-
gram
mes
3.7.1
Prop
ortio
n of w
omen
of re
prod
uctiv
e ag
e (ag
ed 15
-49 y
ears)
who
have
their
ne
ed fo
r fam
ily pl
annin
g sati
sfied
[pro
vid-
ed] w
ith m
oder
n meth
ods
1PS
A PO
P-CO
M
NDHS
/ Re
port
Perce
ntage
of cu
rrentl
y mar
ried
wome
n age
15-4
9 who
are i
nfecu
nd
and h
ave n
o unm
et ne
ed an
d cu
rrentl
y usin
g a co
ntrac
eptiv
e me
thod.
It is a
lso kn
own a
s the
mo
dern
contr
acep
tive p
reva
lence
rate
Use o
f mod
ern c
ontra
cepti
ve
metho
ds di
vided
by th
e tota
l dem
and
(sum
of un
met n
eed p
lus to
tal
contr
acep
tive u
se)
YN
NN
11
0
N/A
Ever
y 5 y
ears
(NDH
S)Qu
arter
ly (P
OPCO
M)
3.7.2
Adole
scen
t birth
rate
(age
d 10-
14
year
s or a
ged 1
5-19
year
s) pe
r 1,00
0 wo
men i
n tha
t age
grou
p1
PSA
NDHS
Perce
ntage
of w
omen
age 1
5-19
who
ha
d a liv
e birth
or w
ho ar
e pre
gnan
t wi
th the
ir first
child
, and
perce
ntage
wh
o hav
e beg
un ch
ildbe
aring
Numb
er of
wom
en ag
e 15-
24 w
ho
had b
egun
child
bear
ing or
who
are
preg
nant
with
their fi
rst ch
ild di
vided
by
numb
er of
wom
en ag
e 15-
24
YY
NN
10
0
N/A
Ever
y 5
year
s
1DO
HFH
SIS
The n
umbe
r of b
irths t
o fem
ales a
ged
10 to
19 pe
r 1,00
0 fem
ale po
pulat
ion
in the
same
age g
roup
(Num
ber o
f birth
s to f
emale
s age
d 10
-18 /
numb
er of
fema
le po
pulat
ion
in the
same
age g
roup
) x 1,
000
1
11
Qu
arter
ly
3.7.s1
Con
trace
ptive
Pre
valen
ce R
ate1
PSA
NDHS
1pro
portio
n of c
urre
ntly m
arrie
d wo
men i
n the
repr
oduc
tive a
ges o
f 15
-49 y
ears
repo
rting c
urre
nt us
e of
any c
ontra
cepti
ve m
ethod
.
1[No.
of cu
rrentl
y mar
ried w
omen
(a
ges 1
5-49
) usin
g con
trace
ption
/No
. of c
urre
ntly m
arrie
d wom
en (a
ges
15-4
9)] x
100
YY
YN
11
0
N/A
Targ
et 3.
8: A
chiev
e uni
vers
al he
alth
cove
rage
, inclu
ding
fina
ncial
risk
pro
tect
ion,
acce
ss to
qua
lity e
ssen
tial h
ealth
-car
e ser
vices
and
acce
ss to
safe
, effe
ctive
, qua
lity a
nd af
ford
able
esse
ntial
med
icine
s and
vacc
ines
for a
ll3.8
.1 Co
vera
ge of
esse
ntial
healt
h se
rvice
s (de
fined
as th
e ave
rage
cove
rage
of
esse
ntial
servi
ces b
ased
on tr
acer
inter
-ve
ntion
s tha
t inclu
de re
prod
uctiv
e, ma
ter-
nal, n
ewbo
rn an
d chil
d hea
lth, in
fectio
us
disea
ses,
non-
comm
unica
ble di
seas
es
and s
ervic
e cap
acity
and a
cces
s, am
ong
the ge
nera
l and
the m
ost d
isadv
antag
ed
popu
lation
)
3PH
IL HE
ALT
H
Admi
n Da
ta
85 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x
3.8.2
Numb
er of
peop
le co
vere
d by h
ealth
ins
uran
ce or
a pu
blic h
ealth
syste
m pe
r 1,0
00 po
pulat
ion1
PHIL-
HEAL
THAd
min
Data
Cove
rage
rate
is the
aggr
egate
coun
t of
PhilH
ealth
bene
ficiar
ies (e
ligibl
e me
mber
and q
ualifi
ed de
pend
ents)
un
der F
orma
l Eco
nomy
(Priv
ate,
Gove
rnme
nt, H
ouse
hold
Help/
Kasa
mbah
ay, E
nterp
rise O
wner
and
Fami
ly Dr
ivers)
, Infor
mal E
cono
my
(Migr
ant W
orke
r, Info
rmal
Secto
r, Se
lf-Ear
ning I
ndivi
dual
and O
rgan
ized
Grou
p and
Othe
rs), In
digen
ts,
Spon
sore
d Mem
bers,
Sen
ior
Citiz
ens a
nd Li
fetim
e Mem
bers
as a
perce
ntage
of th
e tota
l pop
ulatio
n.
NY
NY
11
1
1
3.8.s1
% of
popu
lation
cove
red b
y the
so
cial h
ealth
insu
ranc
e1
PHIL-
HEAL
THAd
min
Data
1 Cov
erag
e rate
is th
e agg
rega
te co
unt o
f Phil
Healt
h ben
eficia
ries
(elig
ible m
embe
r and
quali
fied
depe
nden
ts) un
der F
orma
l Eco
nomy
(P
rivate
, Gov
ernm
ent, H
ouse
hold
Help/
Kasa
mbah
ay, E
nterp
rise
Owne
r and
Fam
ily D
river
s), In
forma
l Ec
onom
y (Mi
gran
t Wor
ker, I
nform
al Se
ctor, S
elf-E
arnin
g Ind
ividu
al an
d Or
ganiz
ed G
roup
and O
thers)
, Ind
igents
, Spo
nsor
ed M
embe
rs,
Senio
r Citiz
ens a
nd Li
fetim
e Me
mber
s as a
perce
ntage
of th
e tota
l po
pulat
ion.
Numb
er of
mem
bers
and d
epen
dents
co
vere
d by P
hilHe
alth O
VER
estim
ated p
rojec
ted po
pulat
ionN
NN
N1
11
1
3.8.s2
Out-
of-po
cket
healt
h spe
nding
as
perce
ntage
of to
tal he
alth e
xpen
ditur
e1
PHIL-
HEAL
THAd
min
Data
2Pro
portio
n of o
ut-of-
pock
et he
alth
expe
nditu
re to
total
healt
h exp
endit
ure
1(Ou
t-of-p
ocke
t hea
lth ex
pend
iture
/To
tal H
ealth
expe
nditu
re) x
100
NN
NN
10
0
N/A
Targ
et 3.
9: B
y 203
0, su
bsta
ntial
ly re
duce
the n
umbe
r of d
eath
s and
illne
sses
from
haz
ardo
us ch
emica
ls an
d air
, wat
er an
d so
il pol
lutio
n an
d co
ntam
inat
ion
3.9.1
Morta
lity ra
te att
ribute
d to h
ouse
hold
and a
mbien
t air p
olluti
on3
3.9.2
Morta
lity ra
te att
ribute
d to u
nsafe
wa
ter, u
nsafe
sanit
ation
and l
ack o
f hy
giene
(exp
osur
e to u
nsafe
Wate
r, Sa
nitati
on an
d Hyg
iene f
or A
ll (W
ASH)
se
rvice
s)
3DO
H
86 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x
3.9.3
Morta
lity ra
te att
ribute
d to u
ninten
-tio
nal p
oison
ing1
PSA
Admi
n Da
ta
The n
umbe
r of d
eaths
of un
inten
tiona
l po
isonin
gs (I
CD-1
0 cod
es
X40,X
43-X
44, X
46-X
49)p
er 10
0 000
po
pulat
ion
(The
numb
er of
death
s of u
ninten
tion-
al po
isonin
gs / p
opula
tion)
x 10
0 000
NN
NN
11
1
1
Targ
et 3.
a Stre
ngth
en th
e im
plem
enta
tion
of th
e Wor
ld H
ealth
Org
aniza
tion
Fram
ewor
k Con
vent
ion
on To
bacc
o Co
ntro
l in al
l cou
ntrie
s, as
appr
opria
te.
3.a.1
Age-
stand
ardiz
ed pr
evale
nce o
f cu
rrent
tobac
co us
e amo
ng pe
rsons
aged
15
year
s and
olde
r1
PSA
GATS
YN
NN
11
1
3.a.s1
Pre
valen
ce of
curre
nt tob
acco
use
1FN
RI -
DOST
NNS
Curre
nt sm
oker
s T
hose
who
smok
e dur
ing th
e tim
e of
the su
rvey e
ither
on a
“dail
y” ba
sis
(at le
ast o
ne ci
gare
tte a
day)
or on
a re
gular
/occa
siona
l smo
king o
r tho
se
who d
o not
smok
e dail
y but
who
smok
e at le
ast w
eekly
or th
ose w
ho
smok
e les
s ofte
n tha
n wee
kly
YN
NN
11
0
1
Targ
et 3.
b: S
uppo
rt th
e res
earc
h an
d de
velo
pmen
t of v
accin
es an
d m
edici
nes f
or th
e com
mun
icabl
e and
non
-com
mun
icabl
e dise
ases
that
prim
arily
affe
ct d
evelo
ping
coun
tries
, pro
vide a
cces
s to
affo
rdab
le es
sent
ial m
edici
nes
and
vacc
ines
, in ac
cord
ance
with
the D
oha D
eclar
atio
n on
the T
RIPS
Agr
eem
ent a
nd P
ublic
Hea
lth, w
hich
affir
ms t
he ri
ght o
f dev
elopi
ng co
untri
es to
use
to th
e ful
l the
pro
visio
ns in
the A
gree
men
t on
Trad
e-Re
lated
Asp
ects
of
Inte
llect
ual P
rope
rty R
ight
s reg
ardi
ng fl
exib
ilities
to p
rote
ct p
ublic
hea
lth, a
nd, in
par
ticul
ar, p
rovid
e acc
ess t
o m
edici
nes f
or al
l3.b
.1 Pr
opor
tion o
f the t
arge
t pop
ulatio
n co
vere
d by a
ll vac
cines
inclu
ded i
n the
ir na
tiona
l pro
gram
me
2DO
HFH
SIS
Qu
arter
ly
3.b.1p
1 Pro
portio
n of fu
lly im
muniz
ed
child
ren
1DO
HFH
SIS
YN
YN
11
1
1
3.b.2
Total
net o
fficial
deve
lopme
nt as
sistan
ce to
med
ical re
sear
ch an
d bas
ic he
alth s
ector
s3
NEDA
3.b.3
Prop
ortio
n of h
ealth
facil
ities t
hat
have
a co
re se
t of r
eleva
nt es
senti
al me
dicine
s ava
ilable
and a
fford
able
on a
susta
inable
basis
2DO
HFH
SIS
3.b.3p
1 Per
centa
ge av
ailab
ility o
f ess
en-
tial d
rugs
in pu
blic h
ealth
facil
ities
1DO
HN
NN
N1
10
1
87 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
3.c:
Sub
stan
tially
incr
ease
hea
lth fi
nanc
ing
and
the r
ecru
itmen
t, de
velo
pmen
t, tra
inin
g an
d re
tent
ion
of th
e hea
lth w
orkf
orce
in d
evelo
ping
coun
tries
, esp
ecial
ly in
leas
t dev
elope
d co
untri
es an
d sm
all is
land
deve
lopi
ng
Stat
es
3.c.1
Healt
h wor
ker d
ensit
y and
dis
tributi
on1
DOH
FHSI
S
11
Annu
al
Targ
et 3.
d: S
treng
then
the c
apac
ity o
f all c
ount
ries,
in p
artic
ular
dev
elopi
ng co
untri
es, f
or ea
rly w
arni
ng, r
isk re
duct
ion
and
man
agem
ent o
f nat
iona
l and
glo
bal h
ealth
risk
s3.d
.1 In
terna
tiona
l Hea
lth R
egula
tions
(IH
R) ca
pacit
y and
healt
h eme
rgen
cy
prep
ared
ness
3DO
HFH
SIS
Goal
4: E
nsur
e inc
lusiv
e and
qua
lity e
duca
tion
for a
ll and
pro
mot
e life
long
lear
ning
Targ
et 4.
1: B
y 203
0, en
sure
that
all g
irls a
nd b
oys c
ompl
ete f
ree,
equi
tabl
e and
qua
lity p
rimar
y and
seco
ndar
y edu
catio
n lea
ding
to re
levan
t and
effe
ctive
lear
ning
out
com
es
4.1.1
Prop
ortio
n of c
hildr
en an
d you
ng
peop
le: (a
) in gr
ades
2/3;
(b) a
t the e
nd
of pr
imar
y; an
d (c)
at the
end o
f lowe
r se
cond
ary a
chiev
ing at
leas
t a m
inimu
m pr
oficie
ncy l
evel
in (i)
read
ing an
d (ii)
mathe
matic
s, by
sex
2DE
PED-
CO
Perce
ntage
of G
rade
3, 6
and
4th ye
ar (g
rade
10 in
the K
-12
prog
ram)
exam
inees
by ac
hieve
ment
level
and b
y sub
ject a
rea,
which
inc
ludes
Rea
ding a
nd M
athem
atics
Ac
hieve
ment
level:
96-
100%
- M
aster
ed 86
-95%
- Cl
osely
ap
prox
imati
ng m
aster
y 66-
85%
- M
oving
towa
rds m
aster
y 35-
65%
- Av
erag
e 15-
34%
- Lo
w 5-
14%
- Ve
ry Lo
w 0-
4% - A
bsolu
tely n
o mas
tery
4.1.1.
a.i N
umbe
r of g
rade
3 stu
dents
ac
hievin
g at le
ast a
mini
mum
pro-
ficien
cy le
vel in
read
ing /n
umbe
r of
child
ren e
nroll
ed in
Gra
de 34
.1.1.a
.ii-Nu
mber
of gr
ade 3
stud
ents
achie
v-ing
at le
ast a
mini
mum
profi
cienc
y lev
el in
mathe
matic
s /nu
mber
of ch
il-dr
en en
rolle
d in G
rade
34.1.
1.b.iN
-um
ber o
f gra
de 6
stude
nts ac
hievin
g at
least
a mini
mum
profi
cienc
y lev
el in
read
ing /n
umbe
r of c
hildr
en
enro
lled i
n Gra
de 64
.1.1.a
.iiNum
ber
of gr
ade 6
stud
ents
achie
ving a
t lea
st a m
inimu
m pr
oficie
ncy l
evel
in ma
thema
tics /
numb
er of
child
ren
enro
lled i
n Gra
de 64
.1.1.b
.iNum
ber
of gr
ade 1
0 stud
ents
achie
ving a
t lea
st a m
inimu
m pr
oficie
ncy l
evel
in re
ading
/num
ber o
f chil
dren
enro
lled
in Gr
ade 1
04.1.
1.a.iiN
umbe
r of g
rade
10
stud
ents
achie
ving a
t leas
t a
minim
um pr
oficie
ncy l
evel
in ma
the-
matic
s /nu
mber
of ch
ildre
n enr
olled
in
Grad
e 10
11
1
1
4.1.s1
Com
pletio
n Rate
1DE
PED-
COPe
rcenta
ge of
grad
e/yea
r 1 en
trants
wh
o gra
duate
in el
emen
tary/
Comp
letion
Rate
=Gra
duate
s (fin
al gr
ade/y
ear)
/ Enr
olmen
tY
YY
N1
11
1
88 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x
seco
ndar
y edu
catio
n(fir
st gr
age/y
ear)
4.1.s2
Coh
ort S
urviv
al Ra
te1
DEPE
D-CO
Perce
ntage
of en
rolle
es at
the
begin
ning g
rade
or ye
ar in
a giv
en
scho
ol ye
ar w
ho re
ache
d the
final
grad
e or y
ear o
f the e
lemen
tary/
seco
ndar
y lev
el
(1) C
ompu
te the
Pro
motio
n and
Rep
-eti
tion R
ates f
or a
partic
ular a
rea;
(2) C
ompu
te the
numb
er of
pr
omote
es up
to gr
ade 6
using
the
prom
otion
rates
for t
he re
spec
tive
grad
e/yea
r leve
ls; (3
) Com
pute
the nu
mber
of pu
pils/
stude
nts in
grad
e/yea
r 1wh
o rep
eat
once
, twice
, up t
o 6 tim
es (4
) Add
the r
epea
ters i
n the
prev
ious
grad
e lev
el wh
o wer
e pro
moted
with
the
pupil
s in t
he cu
rrent
grad
e lev
el wh
o rep
eated
. (5
) Calc
ulate
the to
tal fo
r eac
h gra
de
level
to ob
tain t
he pu
pil-ye
ars;
(6) M
ultipl
y the
pupil
-year
s with
the
resp
ectiv
e pro
motio
n rate
to ge
t the
total
prom
otees
(inclu
ding
repe
aters)
; (7
) Calc
ulate
the re
cons
tructe
d co
hort
survi
val ra
te for
each
grad
e lev
el by
divid
ing th
e Tota
l Pro
motee
s Gr
X-1
(inclu
ding r
epea
ters)
with
the
origi
nal c
ohor
t of 1
000.
YY
YN
11
1
1
4.1.s3
Dro
pout
Rate
or S
choo
l Lea
vers
Rate
1DE
PED-
CO
Perce
ntage
of pu
pils/s
tuden
ts wh
o do
not fi
nish a
partic
ular g
rade
/year
leve
l. It d
oes n
ot ca
pture
pupil
s/stud
ents
who fi
nish a
grad
e/yea
r leve
l but
do
not e
nrol
in the
next
grad
e/yea
r leve
l the
follo
wing
scho
ol ye
ar.
Simp
le Dr
op-o
ut Ra
te =
[numb
er
drop
-outs
/ (en
rolm
ent +
drop
-outs
) ] *
100
YN
YN
11
1
1
Targ
et 4.
2: B
y 203
0, en
sure
that
all g
irls a
nd b
oys h
ave a
cces
s to
quali
ty ea
rly ch
ildho
od d
evelo
pmen
t, ca
re an
d pr
e-pr
imar
y edu
catio
n so
that
they
are r
eady
for p
rimar
y edu
catio
n4.2
.1 P
ropo
rtion o
f chil
dren
unde
r 5
year
s of a
ge w
ho ar
e dev
elopm
ental
ly on
tra
ck in
healt
h, lea
rning
and p
sych
osoc
ial
well-b
eing,
by se
x
2DS
WD/
DOH
89 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x
seco
ndar
y edu
catio
n(fir
st gr
age/y
ear)
4.1.s2
Coh
ort S
urviv
al Ra
te1
DEPE
D-CO
Perce
ntage
of en
rolle
es at
the
begin
ning g
rade
or ye
ar in
a giv
en
scho
ol ye
ar w
ho re
ache
d the
final
grad
e or y
ear o
f the e
lemen
tary/
seco
ndar
y lev
el
(1) C
ompu
te the
Pro
motio
n and
Rep
-eti
tion R
ates f
or a
partic
ular a
rea;
(2) C
ompu
te the
numb
er of
pr
omote
es up
to gr
ade 6
using
the
prom
otion
rates
for t
he re
spec
tive
grad
e/yea
r leve
ls; (3
) Com
pute
the nu
mber
of pu
pils/
stude
nts in
grad
e/yea
r 1wh
o rep
eat
once
, twice
, up t
o 6 tim
es (4
) Add
the r
epea
ters i
n the
prev
ious
grad
e lev
el wh
o wer
e pro
moted
with
the
pupil
s in t
he cu
rrent
grad
e lev
el wh
o rep
eated
. (5
) Calc
ulate
the to
tal fo
r eac
h gra
de
level
to ob
tain t
he pu
pil-ye
ars;
(6) M
ultipl
y the
pupil
-year
s with
the
resp
ectiv
e pro
motio
n rate
to ge
t the
total
prom
otees
(inclu
ding
repe
aters)
; (7
) Calc
ulate
the re
cons
tructe
d co
hort
survi
val ra
te for
each
grad
e lev
el by
divid
ing th
e Tota
l Pro
motee
s Gr
X-1
(inclu
ding r
epea
ters)
with
the
origi
nal c
ohor
t of 1
000.
YY
YN
11
1
1
4.1.s3
Dro
pout
Rate
or S
choo
l Lea
vers
Rate
1DE
PED-
CO
Perce
ntage
of pu
pils/s
tuden
ts wh
o do
not fi
nish a
partic
ular g
rade
/year
leve
l. It d
oes n
ot ca
pture
pupil
s/stud
ents
who fi
nish a
grad
e/yea
r leve
l but
do
not e
nrol
in the
next
grad
e/yea
r leve
l the
follo
wing
scho
ol ye
ar.
Simp
le Dr
op-o
ut Ra
te =
[numb
er
drop
-outs
/ (en
rolm
ent +
drop
-outs
) ] *
100
YN
YN
11
1
1
Targ
et 4.
2: B
y 203
0, en
sure
that
all g
irls a
nd b
oys h
ave a
cces
s to
quali
ty ea
rly ch
ildho
od d
evelo
pmen
t, ca
re an
d pr
e-pr
imar
y edu
catio
n so
that
they
are r
eady
for p
rimar
y edu
catio
n4.2
.1 P
ropo
rtion o
f chil
dren
unde
r 5
year
s of a
ge w
ho ar
e dev
elopm
ental
ly on
tra
ck in
healt
h, lea
rning
and p
sych
osoc
ial
well-b
eing,
by se
x
2DS
WD/
DOH
90 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x
4.2.2
Partic
ipatio
n rate
in or
ganiz
ed le
arn-
ing (o
ne ye
ar be
fore t
he of
ficial
prim
ary
entry
age)
, by s
ex1
DSW
D
Indica
tor th
at me
asur
es ge
nera
l leve
l of
partic
ipatio
n of 5
year
old c
hildr
en
in kin
derg
arten
. It in
dicate
s the
ca
pacit
y of th
e edu
catio
n sys
tem to
pr
epar
e you
ng ch
ildre
n for
elem
entar
y ed
ucati
on.
Numb
er of
5 ye
ar-o
ld ch
ildre
n in
kinde
rgar
ten le
vel /
popu
lation
of th
e 5 y
ear o
ld ch
ildre
n in a
give
n yea
rY
N
N1
11
11
Annu
al
Targ
et 4.
3: B
y 203
0, en
sure
equa
l acc
ess f
or al
l wom
en an
d m
en to
affo
rdab
le an
d qu
ality
tech
nica
l, voc
atio
nal a
nd te
rtiar
y edu
catio
n, in
cludi
ng u
nive
rsity
4.3.1
Partic
ipatio
n rate
of yo
uth an
d adu
lts
in for
mal a
nd no
n-for
mal e
duca
tion a
nd
traini
ng in
the p
revio
us 12
mon
ths, b
y sex
2DE
PED
EBEI
S
Partic
ipatio
n rate
of yo
ung (
aged
15
-24)
and a
dult (
aged
25-6
4) in
the
forma
l and
non-
forma
l edu
catio
n and
tra
ining
in a
given
year.
total
numb
er of
enro
lled s
tuden
ts in
a give
n age
grou
p who
regis
ter in
for
mal a
nd no
n-for
mal e
duca
tion/
popu
lation
in a
given
same
age g
roup
in
a give
n yea
r
11
1
1
4.3.s1
Net
Enro
lmen
t Rate
in el
emen
tary
educ
ation
1DE
PED
EBEI
S
The e
nrolm
ent in
elem
entar
y of th
e offi
cial s
choo
l age
-gro
up ex
pres
sed
as a
perce
ntage
of th
e cor
resp
ondin
g po
pulat
ion.
NER-
Ratio
of th
e enr
olmen
t for t
he
age g
roup
corre
spon
ding t
o the
offi
cial s
choo
l age
in th
e elem
entar
y lev
el to
the po
pulat
ion of
the s
ame
age g
roup
in a
given
year
YY
YY
11
1
1
4.3.s2
Net
Enro
lmen
t Rate
in se
cond
ary
educ
ation
1DE
PED
EBEI
S
The e
nrolm
ent in
seco
ndar
y edu
catio
n of
the of
ficial
scho
ol ag
e-gr
oup
expr
esse
d as a
perce
ntage
of th
e co
rresp
ondin
g pop
ulatio
n.
NER-
Ratio
of th
e enr
olmen
t for t
he
age g
roup
corre
spon
ding t
o the
offi
cial s
choo
l age
in th
e se
cond
ary l
evel
to the
popu
lation
of
the sa
me ag
e gro
up in
a giv
en ye
ar
YY
YY
11
1
1
4.3.s3
Pas
sing r
ate in
licen
sure
exam
(H
Ed)
1CH
EDAd
min
Data
Perce
ntage
of th
e num
ber o
f ex
amine
es pe
r sch
ool w
ho ar
e pa
sser
s of a
give
n lice
nsur
e ex
amina
tion i
n a gi
ven p
eriod
for e
ach
discip
line
Pass
ing ra
te =
(num
ber o
f pas
sers
of a g
iven l
icens
ure e
xami
natio
n per
sc
hool
in a g
iven p
eriod
/ num
ber
of ex
amine
es of
a giv
en lic
ensu
re
exam
inatio
n per
scho
ol in
a give
n pe
riod)
* 10
0
YY
YN
11
0
1
4.3.s4
Cer
tifica
tion r
ate (T
VET)
1TE
SDA
Admi
n Da
ta
Perce
ntage
of ex
amine
es w
ho pa
ssed
the
natio
nal c
ompe
tency
asse
ssme
nt for
or w
ithin
a give
n per
iod
Certifi
catio
n rate
= (n
umbe
r of c
erti-
fied p
erso
ns / n
umbe
r of a
sses
sed
perso
ns) *
100
YY
NN
11
1
1
Targ
et 4.
4: B
y 203
0, su
bsta
ntial
ly in
crea
se th
e num
ber o
f you
th an
d ad
ults
who
hav
e rele
vant
skills
, inclu
ding
tech
nica
l and
voca
tiona
l skil
ls, fo
r em
ploy
men
t, de
cent
jobs
and
entre
pren
eurs
hip
4.4.1
Pro
portio
n of y
outh
and a
dults
with
inf
orma
tion a
nd co
mmun
icatio
ns te
chno
lo-gy
(ICT
) skil
ls, by
type
of sk
ill2
TESD
A CH
ED
91 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x
4.4.1.
p1 P
ropo
rtion o
f pop
ulatio
n with
ex
posu
re to
inter
net
1PS
AFL
EMMS
Perce
ntage
of po
pulat
ion 10
to 64
ye
ars o
ld wh
o wer
e exp
osed
to th
e int
erne
t.Exp
osur
e to t
he in
terne
t in
FLEM
MS in
clude
s sur
fing t
he in
terne
t for
socia
l med
ia/int
erac
tion a
nd
surfin
g the
inter
net fo
r res
earch
wor
k
Perce
ntage
of po
pulat
ion 10
to 64
ye
ars o
ld wh
o wer
e exp
osed
to th
e int
erne
t: (a)
socia
l med
ia an
d (b)
re
sear
ch w
ork
YN
NN
11
0
1
Targ
et 4.
5: B
y 203
0, eli
min
ate g
ende
r disp
ariti
es in
educ
atio
n an
d en
sure
equa
l acc
ess t
o all
leve
ls of
educ
atio
n an
d vo
catio
nal t
rain
ing
for t
he vu
lner
able,
inclu
ding
per
sons
with
disa
bilit
ies, in
dige
nous
peo
ples
and
child
ren
in
vuln
erab
le sit
uatio
ns4.5
.1 Pa
rity in
dices
(fem
ale/m
ale, r
ural/
ur-
ban,
botto
m/top
wea
lth qu
intile
and o
thers
such
as di
sabil
ity st
atus,
indige
nous
peo-
ples a
nd co
nflict
-affe
cted,
as da
ta be
come
av
ailab
le) fo
r all e
duca
tion i
ndica
tors o
n thi
s list
that
can b
e disa
ggre
gated
1DE
PED
EBEI
SRa
tio of
girls
to bo
ys &
ratio
of ru
ral
to ur
ban
Ratio
of th
e num
ber o
f girl
enro
lled
at pr
imar
y or s
econ
dary
levels
of
educ
ation
to th
e num
ber o
f boy
s in
each
leve
l.
YN
NN
11
1
1An
nual
4.5.1
Parity
indic
es (f
emale
/male
, rur
al/ur
-ba
n, bo
ttom/
top w
ealth
quint
ile an
d othe
rs su
ch as
disa
bility
statu
s, ind
igeno
us pe
o-ple
s and
confl
ict-a
ffecte
d, as
data
beco
me
avail
able)
for a
ll edu
catio
n ind
icator
s on
this l
ist th
at ca
n be d
isagg
rega
ted
1CH
EDAd
min
Data
Ratio
of fe
male
to ma
le &
ratio
of ru
ral to
urba
n
Ratio
of th
e num
ber o
f fema
le stu
dents
enro
lled a
t tertia
ry ed
ucati
on
to the
numb
er of
male
stud
ents
in ea
ch le
vel.
YN
NN
11
1
1
4.5.1
Parity
indic
es (f
emale
/male
, rur
al/ur
-ba
n, bo
ttom/
top w
ealth
quint
ile an
d othe
rs su
ch as
disa
bility
statu
s, ind
igeno
us pe
o-ple
s and
confl
ict-a
ffecte
d, as
data
beco
me
avail
able)
for a
ll edu
catio
n ind
icator
s on
this l
ist th
at ca
n be d
isagg
rega
ted
1TE
SDA
Admi
n Da
ta
Ratio
of fe
male
to ma
le &
ratio
of ru
ral to
urba
n
Ratio
of th
e num
ber o
f fema
le stu
dents
enro
lled i
n TVE
T to
the
numb
er of
male
stud
ents
in ea
ch
level.
YN
NN
11
1
1
Targ
et 4.
6: B
y 203
0, en
sure
that
all y
outh
and
a sub
stan
tial p
ropo
rtion
of a
dults
, bot
h m
en an
d wo
men
, ach
ieve l
itera
cy an
d nu
mer
acy
4.6.1
Perce
ntage
of po
pulat
ion in
a giv
en
age g
roup
achie
ving a
t leas
t a fix
ed le
vel
of pr
oficie
ncy i
n fun
ction
al (a
) liter
acy a
nd
(b) n
umer
acy s
kills,
by se
x
1PS
AFL
EMMS
Perce
ntage
of po
pulat
ion ag
ed
10 ye
ars o
ld an
d ove
r who
are (
a)
basic
ally l
itera
te (re
ad an
d write
) and
(b
) fun
ction
ally l
itera
te (re
ad, w
rite an
d co
mpute
) F
uncti
onal
Liter
acy i
s a si
gnific
antly
hig
her le
vel o
f liter
acy w
hich i
nclud
es
not o
nly re
ading
and w
riting
but a
lso
nume
racy
skills
(FLE
MMS)
Ratio
of th
e num
ber o
f (a)
basic
ally
litera
te an
d (b)
func
tiona
lly lit
erate
to
the po
pulat
ion in
a giv
en ag
e gro
up b
asic
- 10 y
ears
old an
d ove
r fu
nctio
nal -
10 to
64 ye
ars o
ld
YN
YN
11
0
1
92 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
4.7 B
Y 20
30, e
nsur
e tha
t all l
earn
ers a
cqui
re th
e kno
wled
ge an
d sk
ills n
eede
d to
pro
mot
e sus
tain
able
deve
lopm
ent,
inclu
ding
, am
ong
othe
rs th
roug
h ed
ucat
ion
for s
usta
inab
le de
velo
pmen
t and
sust
ainab
le lif
esty
le4.7
.1 Ex
ten to
whic
h (i) g
lobal
citize
nship
ed
ucati
ona d
n (ii)
educ
ation
for s
ustai
n-ab
le de
velop
ment,
inclu
ding g
ende
r equ
al-ity
and h
uman
rights
, are
main
strea
med
at all
leve
ls in:
(a) n
ation
al ed
ucati
on
polic
ies, (
b) cu
rricu
la, (c
) tea
cher
educ
a-tio
n and
(d) s
tuden
t ass
essm
ent
N/A
Targ
et 4.
a: B
uild
and
upgr
ade e
duca
tion
facil
ities
that
are c
hild
, disa
bilit
y and
gen
der s
ensit
ive an
d pr
ovid
e saf
e, no
n-vio
lent,
inclu
sive a
nd ef
fect
ive le
arni
ng en
viron
men
ts fo
r all
4.a.1
Prop
ortio
n of s
choo
ls wi
th ac
cess
to:
(a) e
lectric
ity; (
b) th
e Inte
rnet
for
peda
gogic
al pu
rpos
es; (
c) co
mpute
rs for
peda
gogic
al pu
rpos
es; (
d) ad
apted
inf
rastr
uctur
e and
mate
rials
for st
uden
ts wi
th dis
abilit
ies; (
e) ba
sic dr
inking
wate
r; (f)
sing
le-se
x bas
ic sa
nitati
on fa
cilitie
s; an
d (g)
basic
hand
wash
ing fa
cilitie
s (as
pe
r the
WAS
H ind
icator
defin
itions
)
1DE
PED
EBEI
S
The p
erce
ntage
of sc
hools
by le
vel
of ed
ucati
on (e
lemen
tary,
lower
se
cond
ary a
nd up
per s
econ
dary)
wi
th ac
cess
to (a
) elec
tricity
; (b)
the
Inter
net fo
r ped
agog
ical p
urpo
ses;
and (
c) co
mpute
rs for
peda
gogic
al pu
rpos
es
The n
umbe
r of s
choo
ls in
a give
n lev
el of
educ
ation
with
acce
ss to
the
relev
ant fa
cilitie
s is e
xpre
ssed
as a
perce
ntage
of al
l sch
ools
at tha
t leve
l of
educ
ation
.
YN
YN
4.a.1.
1 elec
tricity
1
EBEI
S
The p
erce
ntage
of sc
hools
by le
vel
of ed
ucati
on (e
lemen
tary,
lower
se
cond
ary a
nd up
per s
econ
dary)
with
ac
cess
to (a
) elec
tricity
The n
umbe
r of s
choo
ls in
a give
n lev
el of
educ
ation
with
acce
ss to
the
relev
ant fa
cilitie
s is e
xpre
ssed
as a
perce
ntage
of al
l sch
ools
at tha
t leve
l of
educ
ation
.
11
1
4.a.1.
2 inte
rnet
1
EBEI
S
The p
erce
ntage
of sc
hools
by le
vel
of ed
ucati
on (e
lemen
tary,
lower
se
cond
ary a
nd up
per s
econ
dary)
wi
th ac
cess
to (
b) th
e Inte
rnet
for
peda
gogic
al pu
rpos
es;
The n
umbe
r of s
choo
ls in
a give
n lev
el of
educ
ation
with
acce
ss to
the
relev
ant fa
cilitie
s is e
xpre
ssed
as a
perce
ntage
of al
l sch
ools
at tha
t leve
l of
educ
ation
.
11
1
4.a.1.
3 com
puter
s1
EB
EIS
The p
erce
ntage
of sc
hools
by le
vel
of ed
ucati
on (e
lemen
tary,
lower
se
cond
ary a
nd up
per s
econ
dary)
wi
th ac
cess
to (c
) com
puter
s for
pe
dago
gical
purp
oses
The n
umbe
r of s
choo
ls in
a give
n lev
el of
educ
ation
with
acce
ss to
the
relev
ant fa
cilitie
s is e
xpre
ssed
as a
perce
ntage
of al
l sch
ools
at tha
t leve
l of
educ
ation
.
11
1
4.a
.1.4 w
ater s
anita
tion
1
EBEI
STh
e per
centa
ge of
scho
ols by
leve
l of
educ
ation
(elem
entar
y, low
erTh
e num
ber o
f sch
ools
in a g
iven
level
of ed
ucati
on w
ith ac
cess
to th
e1
11
93 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x
seco
ndar
y and
uppe
r sec
onda
ry) w
ith
acce
ss to
wate
r san
itatio
n
relev
ant fa
cilitie
s is e
xpre
ssed
as a
perce
ntage
of al
l sch
ools
at tha
t leve
l of
educ
ation
.Ta
rget
4.b:
By 2
020,
subs
tant
ially
expa
nd g
loba
lly th
e num
ber o
f sch
olar
ship
s ava
ilabl
e to
deve
lopi
ng co
untri
es, in
par
ticul
ar le
ast d
evelo
ped
coun
tries
, sm
all is
land
deve
lopi
ng S
tate
s and
Afri
can
coun
tries
, for
enro
lmen
t in
high
er
educ
atio
n, in
cludi
ng vo
catio
nal t
rain
ing
and
info
rmat
ion
and
com
mun
icatio
ns te
chno
logy
, tec
hnica
l, eng
inee
ring
and
scien
tific p
rogr
amm
es, in
dev
elope
d co
untri
es an
d ot
her d
evelo
ping
coun
tries
4.b.1
Volu
me of
offic
ial de
velop
ment
assis
tance
flows
for s
chola
rships
by se
ctor
and t
ype o
f stud
y2
DepE
d C
HED
TESD
A D
OST
Targ
et 4.
c: B
y 203
0, su
bsta
ntial
ly in
crea
se th
e sup
ply o
f qua
lified
teac
hers
, inclu
ding
thro
ugh
inte
rnat
iona
l coo
pera
tion
for t
each
er tr
ainin
g in
dev
elopi
ng co
untri
es, e
spec
ially
least
dev
elope
d co
untri
es an
d sm
all is
land
deve
lopi
ng
Stat
es4.c
.1 P
ropo
rtion o
f teac
hers
in: (a
) pr
e-pr
imar
y; (b
) prim
ary;
(c) lo
wer
seco
ndar
y; an
d (d)
uppe
r sec
onda
ry ed
ucati
on w
ho ha
ve re
ceive
d at le
ast
the m
inimu
m or
ganiz
ed te
ache
r tra
ining
(e
.g. pe
dago
gical
traini
ng) p
re-se
rvice
or
in-se
rvice
requ
ired f
or te
achin
g at th
e re
levan
t leve
l in a
given
coun
try
2De
pEd
CHED
4.c.s1
Fac
ulty q
ualifi
catio
n (HE
d)1
CHED
Admi
n Da
taPr
opor
tion o
f facu
lty w
ith M
A/MS
an
d PhD
Facu
lty qu
alific
ation
= (n
umbe
r fac
ulty
with
MA/M
S / n
umbe
r of fa
culty
) * 10
0 (n
umbe
r fac
ulty w
ith P
hD / n
umbe
r of
facult
y) * 1
00
YN
NN
11
0
1
4.c.s2
Num
ber o
f TVE
T tra
iners
traine
d1
TESD
AAd
min
Data
Numb
er of
TVE
T tra
iners
traine
dNu
mber
of T
VET
traine
rs tra
ined
YN
NN
11
1
1
Goal
5: A
chiev
e gen
der e
quali
ty an
d em
powe
r all w
omen
and
girls
Ta
rget
5.1:
End
all f
orm
s of d
iscrim
inat
ion
again
st al
l wom
en an
d gi
rls ev
eryw
here
.5.1
.1 W
hethe
r or n
ot leg
al fra
mewo
rks ar
e in
place
to pr
omote
, enfo
rce an
d mon
itor
equa
lity an
d non
disc
rimina
tion o
n the
ba
sis of
sex
2DI
LGNE
DADS
WD
Glob
al ind
icator
; Ans
wera
ble by
yes
or no
11
11
120
17
Targ
et 5.
2: E
limin
ate a
ll for
ms o
f vio
lence
again
st al
l wom
en an
d gi
rls in
the p
ublic
and
priva
te sp
here
s, in
cludi
ng tr
affic
king
and
sexu
al an
d ot
her t
ypes
of e
xplo
itatio
n.5.2
.1 Pr
opor
tion o
f eve
r-par
tnere
d wom
en
and g
irls
1PS
AND
HSVI
OLEN
CE A
GAIN
ST W
OMEN
– an
ac
t of g
ende
r-bas
ed vi
olenc
e tha
tTh
is ind
icator
calls
for d
isagg
rega
tion
by fo
rm of
viole
nce a
nd by
age
YN
NN
11
00
N/A
5 yea
rs
94 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xre
sults
in, o
r is lik
ely to
resu
lt in,
phys
ical, s
exua
l, or p
sych
ologic
al ha
rm or
suffe
ring t
o wom
en, in
cludin
g thr
eats
of su
ch ac
ts, co
ercio
n or
arbit
rary
depr
ivatio
n of li
berty
, whe
ther
occu
rring
in pu
blic o
r in pr
ivate
life. It
en
comp
asse
s all f
orms
of vi
olatio
n of
wome
n’s rig
hts, in
cludin
g thr
eats
and
repr
isals,
explo
itatio
n, ha
rass
ment,
an
d othe
r for
ms of
contr
ol.
PHYS
ICAL
VIO
LENC
E – a
n act
of infl
icting
phys
ical in
juries
, par
ricide
, ho
micid
e, fru
strate
d par
ricide
, mu
rder
or ho
micid
e, inf
antic
ide, a
nd
abor
tion.
SEX
UAL A
BUSE
– an
act,
which
is se
xual
in na
ture,
comm
itted
again
st a w
oman
with
out h
er co
nsen
t. Se
xual
abus
es in
clude
but a
re no
t lim
ited t
o the
follo
wing
: rap
e, se
xual
hara
ssme
nt, ac
ts of
lasciv
iousn
ess;
treati
ng a
woma
n as a
sex o
bject;
ma
king d
emea
ning a
nd se
xuall
y su
gges
tive r
emar
ks; p
hysic
ally
attac
king t
he se
xual
parts
of he
r bod
y; for
cing h
er to
watc
h por
nogr
aphic
vid
eo sh
ows o
r see
porn
ogra
phic
mater
ials;
catch
ing th
e hus
band
ha
ving s
ex w
ith an
other
wom
an in
the
marita
l bed
room
; forci
ng th
e wife
and
mistr
ess t
o slee
p with
the h
usba
nd in
the
same
room
. PS
YCHO
LOGI
CAL V
IOLE
NCE
– an
act o
r beh
avior
comm
itted a
gains
t a w
oman
, whic
h des
troys
belie
f in
her s
elf, d
emea
ns, d
isemp
ower
s, an
d cau
ses m
ental
and e
motio
nal
distur
banc
e. Th
is inc
ludes
but is
not
age g
roup
and y
ields
the f
ollow
ing
sub-
indica
tors f
or ea
ch fo
rm of
vio-
lence
. 1)
Sub
-indic
ator 1
(phy
sical
violen
ce):
[Num
ber o
f eve
r-par
tnere
d wo
men a
nd gi
rls (a
ged 1
5 - 49
year
s) wh
o exp
erien
ce ph
ysica
l viol
ence
by
a cur
rent
or fo
rmer
intim
ate pa
rtner
in
the pr
eviou
s 12 m
onths
/ Num
ber
of ev
er-p
artne
red w
omen
and g
irls
(age
d 15 -
49 ye
ars)]
* 10
0 2)
Su
b-ind
icator
2 (se
xual
violen
ce):
[Num
ber o
f eve
r-par
tnere
d wom
en
and g
irls (a
ged 1
5 - 49
year
s) wh
o ex
perie
nce s
exua
l viol
ence
by a
curre
nt or
form
er in
timate
partn
er
in the
prev
ious 1
2 mon
ths/ N
umbe
r of
ever
-par
tnere
d wom
en an
d girls
(a
ged 1
5 - 49
year
s)] *
100
3)
Sub-
indica
tor 3
(phy
sical
and/
or se
xual
violen
ce):
[Num
ber o
f ev
er-p
artne
red w
omen
and g
irls
(age
d 15 -
49 ye
ars)
who e
xper
ience
ph
ysica
l and
/or se
xual
violen
ce by
a c
urre
nt or
form
er in
timate
partn
er
in the
prev
ious 1
2 mon
ths / N
umbe
r of
ever
-par
tnere
d wom
en an
d girls
(a
ged 1
5 - 49
year
s)] *
100
95 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xlim
ited t
o: ve
rbal
abus
e, ec
onom
ic ab
use,
accu
satio
n of in
fideli
ty,
prolo
nged
silen
ce, ta
king c
hildr
en
away
from
her, o
rder
ing th
e wom
an
out o
f the h
ouse
, infid
elity
of the
pa
rtner,
thre
ats an
d coe
rcion
and
sexu
al ha
rass
ment.
Sou
rce: N
SCB
Reso
lution
No.
6, Se
ries o
f 200
15.2
.2 Pr
opor
tion o
f wom
en an
d girls
aged
15
year
s and
olde
r sub
jected
to se
xual
violen
ce by
perso
ns ot
her t
han a
n inti
mate
partn
er in
the p
revio
us 12
mon
ths, b
y age
an
d plac
e of o
ccur
renc
e
1PS
AND
HSY
NN
N1
10
0N/
A6 y
ears
5.2.s1
Num
ber o
f rep
orted
gend
er-b
ased
vio
lence
case
s (inc
ludes
e-VA
W)
1PR
O CO
RAd
min
Data
Foun
datio
n for
Med
ia Al
terna
tives
(F
MA) d
efine
d tec
hnolo
gy-re
lated
vio
lence
again
st wo
men o
r eVA
W as
vio
lence
again
st wo
men i
n and
using
IC
T pla
tform
s suc
h as t
elevis
ion,
radio
, telep
hone
/mob
ile ph
ones
, co
mpute
rs, S
MART
phon
es, ta
blets,
int
erne
t, VoIP
, soc
ial ne
twor
king s
ites
(FB,
Twitte
r), w
ebsit
es an
d blog
s.
Seve
ral fo
rms o
f eVA
W cr
imes
being
pe
rpetr
ated a
re: -
Cyb
er ha
rass
ment.
It i
s the
onlin
e har
assm
ent o
f wom
en,
which
inclu
des r
ape t
hrea
ts, do
ctore
d ph
otogr
aphs
portr
aying
wom
en be
ing
stran
gled,
posti
ngs o
f wom
en’s
home
ad
dres
ses a
longs
ide su
gges
tions
tha
t they
are i
ntere
sted i
n ano
nymo
us
sex,
and t
echn
ologic
al att
acks
that
shut
down
blog
s and
web
sites
(Citro
n 20
09).
Form
s of c
yber
hara
ssme
nt ar
e: cy
berst
alking
, ema
ils to
forw
ard
unwa
nted p
ropo
sals
black
mail,
extor
tion/
publi
catio
n of a
n ind
ividu
al’s
perso
nal in
forma
tion,
monit
oring
by
Total
numb
er of
repo
rted g
ende
r-ba
sed v
iolen
ce ca
ses (
includ
es
e-VA
W)
NN
NN
11
1
1Mo
nthly
96 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xab
user
s of b
oth th
e phy
sical
and
virtua
l acti
vities
of th
eir vi
ctims
. - C
yber
porn
ogra
phy.
It is a
n act
of us
ing cy
bersp
ace t
o cre
ate,
displa
y, dis
tribute
, impo
rt or
publi
sh
porn
ogra
phy o
r obs
cene
mate
rials,
es
pecia
lly m
ateria
ls de
pictin
g ch
ildre
n eng
aged
in se
xual
acts
with
adult
s. - C
yber
traffi
cking
. The
for
ms of
cybe
r tra
ffickin
g are
: fake
on
line “
marri
age a
genc
ies an
d we
bsite
s adv
ertis
ing no
nexis
tent
work
or st
udy o
ppor
tunitie
s and
the
comm
ercia
lizati
on of
priva
te ho
me
video
s.
5.2.s2
Num
ber o
f rep
orted
abus
e cas
es
for w
omen
and c
hildr
en1
PRO
COR
Admi
n Da
ta
VIOL
ENCE
AGA
INST
WOM
EN –
an
act o
f gen
der-b
ased
viole
nce t
hat
resu
lts in
, or is
likely
to re
sult i
n, ph
ysica
l, sex
ual, o
r psy
cholo
gical
harm
or su
fferin
g to w
omen
, inclu
ding
threa
ts of
such
acts,
coer
cion o
r ar
bitra
ry de
priva
tion o
f libe
rty, w
hethe
r oc
curri
ng in
publi
c or in
priva
te life
. It
enco
mpas
ses a
ll for
ms of
viola
tion o
f wo
men’s
rights
, inclu
ding t
hrea
ts an
d re
prisa
ls, ex
ploita
tion,
hara
ssme
nt,
and o
ther f
orms
of co
ntrol.
CHI
LD A
BUSE
– the
malt
reatm
ent,
wheth
er ha
bitua
l or n
ot, of
a ch
ild,
which
inclu
des a
ny of
the f
ollow
ing:
a)Ps
ycho
logica
l and
phys
ical a
buse
, ne
glect,
crue
lty, s
exua
l abu
se an
d em
otion
al ma
ltreatm
ent;
b)An
y act
by de
eds o
r wor
ds w
hich
deba
ses,
degr
ades
or de
mean
s the
int
rinsic
wor
th an
d dign
ity of
a ch
ild as
Total
numb
er of
repo
rted g
en-
der-b
ased
viole
nce c
ases
(inclu
des
e-VA
W)
NN
NN
11
1
1Mo
nthly
97 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xa h
uman
being
; c)
Unre
ason
able
depr
ivatio
n of th
e he
r/his
basic
need
s for
survi
val s
uch
as fo
od an
d she
lter;
Fail
ure t
o imm
ediat
ely gi
ve m
edica
l tre
atmen
t to an
injur
ed ch
ild re
sultin
g in
serio
us im
pairm
ent o
f her
/his
grow
th an
d dev
elopm
ent o
r in he
r/his
perm
anen
t inca
pacit
y or d
eath.
5.2.s3
Num
ber o
f cas
es se
rved b
y Dep
art-
ment
of So
cial W
elfar
e and
Dev
elopm
ent
(DSW
D) on
viole
nce a
gains
t wom
en an
d ch
ild ab
use
1DS
WD
Admi
n Da
ta
The c
ases
serve
d by D
SWD
includ
e the
follo
wing
: -
Phys
ically
abus
ed/m
altre
ated/
batte
red
- Se
xuall
y abu
sed
- Inv
olunta
ry pr
ostitu
tion
- Ille
gal re
cruitm
ent
- In
deten
tion
- Arm
ed co
nflict
“The
total
mum
ber o
f cas
es se
rved b
y DS
WD
includ
e the
follo
wing
: -
Phys
ically
abus
ed/m
altre
ated/
batte
red
- Se
xuall
y abu
sed
- Inv
olunta
ry pr
ostitu
tion
- Ille
gal re
cruitm
ent
- In
deten
tion
- Arm
ed co
nflict
”
YN
NN
11
1
1Qu
arter
ly
Targ
et 5.
3: E
limin
ate a
ll har
mfu
l pra
ctice
s, su
ch as
child
, ear
ly an
d fo
rced
mar
riage
and
fem
ale g
enita
l mut
ilatio
n
5.3.1
Prop
ortio
n of w
omen
aged
20-2
4 ye
ars w
ho w
ere m
arrie
d or in
a un
ion
befor
e age
15 an
d befo
re ag
e 18
1PS
AND
HSthe
prop
ortio
n of W
omen
aged
20 -
24
year
s who
wer
e mar
ried o
r in a
aunio
n be
fore a
ged 1
5 and
befor
e age
d 18
-the n
umbe
r of w
omen
aged
20 -
24
who w
ere fi
rst m
arrie
d or in
union
by
age 1
8 divi
ded b
y tota
l num
ber o
f wo
men a
ged 2
0-24
in th
e pop
ulatio
n
YN
NN
11
00
N/A
5.3.2
Prop
ortio
n of g
irls an
d wom
en ag
ed
15-4
9 yea
rs wh
o hav
e und
ergo
ne fe
male
genit
al mu
tilatio
n/cutt
ing, b
y age
N/A
Targ
et 5.
4: R
ecog
nize
and
valu
e unp
aid ca
re an
d do
mes
tic w
ork t
hrou
gh th
e pro
visio
n of
pub
lic se
rvice
s, in
frast
ruct
ure a
nd so
cial p
rote
ctio
n po
licies
and
the p
rom
otio
n of
shar
ed re
spon
sibilit
y with
in th
e hou
seho
ld an
d th
e fam
ily
as n
atio
nally
appr
opria
te.
5.4
.1 P
ropo
rtion o
f time
spen
t on u
npaid
do
mesti
c and
care
wor
k, by
sex,
age a
nd
locati
on3
Targ
et 5.
5: E
nsur
e wom
en’s
full a
nd ef
fect
ive p
artic
ipat
ion
and
equa
l opp
ortu
nitie
s for
lead
ersh
ip at
all le
vels
of
5.5.1
Prop
ortio
n of s
eats
held
by w
omen
in
1CO
ME
ELEC
/ DI
LG
Admi
n Da
ta
The n
umbe
r of s
eats
held
by w
omen
in
the H
ouse
of R
epre
senta
tives
(H
OR) a
nd S
enate
of th
e Phil
ippine
s
The i
ndica
tor is
obtai
ned b
y divi
ding
the nu
mber
of S
enate
and H
OR se
ats
occu
pied b
y wom
en by
the t
otal
NN
NN
11
11
13 y
ears
and
6 yea
rs
98 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x
(a) n
ation
al pa
rliame
nts an
d (b
) loca
l gov
ernm
ents
expr
esse
d as a
perce
ntage
of al
l oc
cupie
d sea
ts in
the H
OR an
d Se
nate
(bas
ed on
the d
efinit
ion of
UN
SD).
The
numb
er of
seats
held
by w
omen
in
the lo
cal g
over
nmen
ts ex
pres
sed
as a
perce
ntage
of al
l occ
upied
seats
in
the lo
cal g
over
nmen
ts.
numb
er of
Sen
ate an
d HOR
seats
oc
cupie
d (ba
sed o
n the
defin
ition o
f UN
SD).
For
loca
l gov
ernm
ents:
[Num
ber o
f loca
l gov
ernm
ent s
eats
occu
pied b
y wom
en / T
otal n
umbe
r of
local
gove
rnme
nt se
ats oc
cupie
d] * 1
00
5.5.2
Prop
ortio
n of w
omen
in m
anag
erial
po
sition
s1
PSA
LFS
Mana
gers
- wor
kers
in thi
s gro
up
plan,
direc
t, coo
rdina
te an
d eva
luate
the ov
erall
activ
ities o
f ente
rpris
es,
gove
rnme
nts an
d othe
r org
aniza
tions
, or
of or
ganiz
ation
al un
its w
ithin
them,
and f
ormu
late a
nd re
view
their
polic
ies, la
ws, r
ules a
nd re
gulat
ions.
Sou
rce: 2
012 P
hilipp
ine S
tanda
rd
Occu
patio
nal C
lassifi
catio
n (PS
OC)
CSC
: T
hird L
evel
– pos
itions
in th
e Car
eer
Exec
utive
Ser
vice (
CES)
Prop
osed
comp
utatio
n usin
g LFS
: (N
umbe
r of w
omen
unde
r Cod
e 1
of PS
OC / T
otal n
umbe
r of p
erso
ns
unde
r Cod
e 1 of
PSO
C) *
100
For
CSC
: (N
umbe
r of w
omen
in th
ird le
vel
posit
ions /
Total
numb
er of
perso
ns in
thi
rd le
vel p
ositio
ns) *
100
YN
YN
11
1Qu
arter
ly
5.5.2s
1 Per
centa
ge of
firms
owne
d by
wome
n (thr
ough
busin
ess p
ermi
ts an
d lic
ence
s sys
tem)
1DT
IAd
min
Data
Firms
regis
tered
thro
ugh b
usine
ss
perm
its by
owne
rs wh
o are
fema
les.
(Num
ber o
f firm
s reg
ister
ed by
wom
-en
thro
ugh b
usine
ss pe
rmits
and/o
r lic
ense
s sys
tems /
Total
numb
er of
firm
s reg
ister
ed by
both
wome
n and
me
n thr
ough
busin
ess p
ermi
ts an
d/or
licen
ses)
* 100
NN
NN
11
1
Targ
et 5.
6: E
nsur
e uni
vers
al ac
cess
to se
xual
and
repr
oduc
tive h
ealth
and
repr
oduc
tive r
ight
s as a
gree
d in
acco
rdan
ce w
ith th
e Pro
gram
me o
f Act
ion
of th
e Int
erna
tiona
l Con
fere
nce o
n Po
pulat
ion
and
Deve
lopm
ent a
nd th
e Beij
ing
Plat
form
of A
ctio
n an
d th
e out
com
e doc
umen
ts o
f the
ir re
view
conf
eren
ces
5.6.1
Pro
portio
n of w
omen
aged
15-4
9 ye
ars w
ho m
ake t
heir o
wn in
forme
d de
cision
s reg
ardin
g sex
ual re
lation
s, co
ntrac
eptiv
e use
and r
epro
ducti
ve he
alth
care
3PO
P-CO
M
99 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x5.6
.2 Nu
mber
of co
untrie
s with
laws
and
regu
lation
s tha
t gua
rante
e full
and e
qual
acce
ss to
wom
en an
d men
aged
15 ye
ars
and o
lder t
o sex
ual a
nd re
prod
uctiv
e he
alth c
are,
infor
matio
n and
educ
ation
N/A
Glob
al ind
icator
1N/
AN/
A
N/A
Targ
et 5.
a: U
nder
take
refo
rms t
o gi
ve w
omen
equa
l rig
hts t
o ec
onom
ic re
sour
ces,
as w
ell as
acce
ss to
own
ersh
ip an
d co
ntro
l ove
r lan
d an
d ot
her f
orm
s of p
rope
rty, fi
nanc
ial se
rvice
s, in
herit
ance
and
natu
ral r
esou
rces
, in
acco
rdan
ce w
ith n
atio
nal la
ws5.a
.1 (a
) Pro
portio
n of to
tal ag
ricult
ural
popu
lation
with
owne
rship
or se
cure
rig
hts ov
er ag
ricult
ural
land,
by se
x; an
d (b
) sha
re of
wom
en am
ong o
wner
s or
rights
-bea
rers
of ag
ricult
ural
land,
by ty
pe
of ten
ure
2PS
ACA
F1
11
1Ev
ery 5
ye
ars
5.a.1p
1Num
ber a
gricu
ltura
l and
resid
entia
l lan
d fre
e pate
nts is
sued
to w
omen
and
men
1DA
RAd
min
Data
Agric
ultur
al lan
d - la
nd de
voted
to
or su
itable
for t
he cu
ltivati
on of
the
soil,
planti
ng of
crop
s, gr
owing
of
trees
, rais
ing of
lives
tock,
poult
ry,
fish o
r aqu
acult
ure p
rodu
ction
, inc
luding
the h
arve
sting
of su
ch fa
rm
prod
ucts,
and o
ther f
arm
activ
ities a
nd
prac
tices
perfo
rmed
in co
njunc
tion
with
such
farm
ing op
erati
ons b
y pe
rsons
whe
ther n
atura
l or ju
ridica
l an
d not
class
ified b
y law
as m
inera
l lan
d, for
est la
nd, r
eside
ntial
land,
comm
ercia
l land
, and
indu
strial
land
. (S
ource
: NSC
B Re
solut
ion N
o. 7,
Serie
s of 2
010)
Res
identi
al lan
d - al
l land
s tha
t ha
ve be
en id
entifi
ed an
d zon
ed as
re
siden
tial th
roug
h the
appr
opria
te or
dinan
ce by
the L
ocal
Gove
rnme
nt Un
it (LG
U) ha
ving j
urisd
iction
over
the
area
. The
se in
clude
resid
entia
l lan
ds w
ithin
area
s zon
ed as
mixe
d re
siden
tial a
nd co
mmer
cial o
r mixe
d
Numb
er of
agric
ultur
al an
d res
identi
al lan
d fre
e pate
nts is
sued
to w
omen
an
d men
over
the t
otal n
umbe
r ag
ricult
ural
and r
eside
ntial
land f
ree
paten
ts iss
ued
NN
NN
11
1
0
100 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xre
siden
tial a
nd in
dustr
ial (S
ource
: RA
1002
3, Se
ries o
f 201
0) F
ree P
atent
appli
catio
n is a
mo
de of
acqu
iring a
liena
ble an
d dis
posa
ble la
nds o
f the p
ublic
do
main
for ag
ricult
ural
purp
oses
thr
u adm
inistr
ative
confi
rmati
on
of im
perfe
ct or
inco
mplet
e title
to
quali
fied o
ccup
ant w
ho ha
s acq
uired
ve
sted r
ight b
y virtu
e of o
pen,
conti
nuou
s, ex
clusiv
e and
notor
ious
poss
essio
n the
reof.
(Sou
rce: L
MB,
DENR
)
5.a.1p
2Num
ber o
f hold
ers o
f ema
ncipa
tion
paten
ts an
d cer
tifica
tes of
land
owne
rship,
ce
rtifica
te of
ance
stral
land t
itles (
CALT
s),
certifi
cate
of an
cestr
al do
main
titles
(C
ADTs
) by s
ex, s
tewar
dship
1DA
R,
NCIP
Admi
n Da
ta
CLOA
Hold
er -
refer
s to a
farm
er-
bene
ficiar
y who
was
awar
ded a
Ce
rtifica
te of
Land
Own
ersh
ip Ag
reem
ent (
CLOA
) for
the l
and
he or
she t
ills un
der E
xecu
tive
Orde
r No.
228 a
nd R
epub
lic A
ct No
. 665
7 othe
rwise
know
n as t
he
Comp
rehe
nsive
Agr
arian
Refo
rm La
w.
The C
LOA
is als
o a tit
le iss
ued t
o far
mer-b
enefi
ciarie
s eith
er in
dividu
ally
or co
llecti
vely.
Eman
cipati
on P
atents
(EPs
) Hold
er
- refe
rs to
a far
mer-b
enefi
ciary
in ric
e and
corn
land
s cov
ered
by
Pres
identi
al De
cree N
o.27 w
ho w
as
issue
d an E
manc
ipatio
n Pate
nt (E
P). T
he E
P is
the tit
le iss
ued t
o far
mer-b
enefi
ciarie
s upo
n fulfi
llmen
t of
all go
vern
ment
requ
ireme
nts.
It sym
boliz
es th
e tille
r’s fu
ll em
ancip
ation
from
the b
onda
ge of
ten
ancy
.
Numb
er of
farm
er-b
enefi
ciary
who
was a
ward
ed a
Certifi
cate
of La
nd
Owne
rship
Agre
emen
t (CL
OA) f
or th
e lan
d ove
r the
total
numb
erof
farme
rs wh
o was
awar
ded o
f CLO
A.
YN
NN
11
1
101 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x
5.a.1p
3 Num
ber o
f wom
en be
nefic
iaries
wi
th se
cure
d lan
d ten
ure i
n Res
identi
al ar
eas
1
Resid
entia
l land
s - al
l land
s tha
t ha
ve be
en id
entifi
ed an
d zon
ed as
re
siden
tial th
roug
h the
appr
opria
te or
dinan
ce by
the L
GU ha
ving
jurisd
iction
over
the a
rea.
Alie
nable
and D
ispos
able
lands
- ar
e lan
ds of
publi
c dom
ain cl
assifi
ed
as ag
ricult
ure t
hat m
ay be
acqu
ired
throu
gh gr
ant o
r con
firmati
on of
title.
calcu
late t
he nu
mber
of w
omen
be
nefic
iaries
from
the t
otal n
umbe
r of
bene
ficiar
ies w
ith se
cure
d lan
d ten
ure
in Re
siden
tial a
reas
NN
NN
11
1
1
5.a.2
Pro
portio
n of c
ountr
ies w
here
the
legal
frame
work
(inclu
ding c
ustom
ary l
aw)
guar
antee
s wom
en’s
equa
l righ
ts to
land
owne
rship
and/o
r con
trol
N/A
Targ
et 5.
b: E
nhan
ce th
e use
of e
nabl
ing
tech
nolo
gy, in
par
ticul
ar in
form
atio
n an
d co
mm
unica
tions
tech
nolo
gy, t
o pr
omot
e the
empo
werm
ent o
f wom
en
5.b.1
Pro
portio
n of in
dividu
als w
ho ow
n a
mobil
e tele
phon
e, by
sex
2NT
C
Targ
et 5.
c: A
dopt
and
stre
ngth
en so
und
polic
ies an
d en
forc
eabl
e leg
islat
ion
for t
he p
rom
otio
n of
gen
der e
quali
ty an
d th
e em
powe
rmen
t of a
ll wom
en an
d gi
rls at
all le
vels
5.c.1
Prop
ortio
n of c
ountr
ies w
ith sy
stems
to
track
and m
ake p
ublic
alloc
ation
s for
ge
nder
equa
lity an
d wom
en’s
empo
wer-
ment
N/A
Per G
ende
r and
Dev
elopm
ent
(GAD
) Bud
get P
olicy
in 19
95, a
ll go
vern
ment
agen
cies,
gove
rnme
nt-ow
ned a
nd co
ntroll
ed co
rpor
ation
s, sta
te un
iversi
ties a
nd co
llege
s and
loc
al go
vern
ment
units
are e
njoine
d to
utiliz
e at le
ast fi
ve pe
rcent
of the
ir bu
dget
for pr
ogra
ms to
prom
ote
wome
n’s em
powe
rmen
t and
gend
er
equa
lity.
Glob
al ind
icator
1N/
A
Goal
6: E
nsur
e ava
ilabi
lity a
nd su
stain
able
man
agem
ent o
f wat
er an
d sa
nita
tion
for a
llTa
rget
6.1:
By 2
030,
achi
eve u
nive
rsal
and
equi
tabl
e acc
ess t
o sa
fe an
d af
ford
able
drin
king
wate
r for
all
6.1.1
Pro
portio
n of p
opula
tion u
sing s
afe-
ly ma
nage
d drin
king w
ater s
ervic
es2
DOH
FHSI
S
6.1.1
.p1 P
ropo
rtion o
f hou
seho
ld us
ing
safel
y man
aged
drink
ing w
ater s
ervic
es1
PSA
APIS
YN
NN
1
An
nual
Targ
et 6.
2: B
y 203
0, ac
hiev
e acc
ess t
o ad
equa
te an
d eq
uita
ble s
anita
tion
and
hygi
ene f
or al
l and
end
open
def
ecat
ion,
pay
ing
spec
ial at
tent
ion
to th
e nee
ds o
f wom
en an
d gi
rls an
d th
se in
vuln
erab
le sit
uatio
ns
102 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x6.2
.1 P
ropo
rtion o
f pop
ulatio
n usin
g sa
fely m
anag
ed sa
nitati
on se
rvice
s, inc
luding
a ha
nd-w
ashin
g fac
ility w
ith so
ap
and w
ater
2DO
HFH
SIS
Targ
et 6.
3: B
y 203
0, im
prov
e wat
er q
ualit
y by r
educ
ing
pollu
tion,
elim
inat
ing
dum
ping
and
min
imizi
ng re
lease
of h
azar
dous
chem
icals
and
mat
erial
s, ha
lving
the p
ropo
rtion
of u
ntre
ated
was
tewa
ter a
nd su
bsta
ntial
ly in
crea
sing
recy
cling
and
safe
reus
e glo
bally
6.3.1
Prop
ortio
n of w
astew
ater s
afely
treate
d3
EMB
WW
RRC
6.3.1.
p1 V
olume
of w
astew
ater t
reate
d (in
dustr
ies)
1DE
NRAd
min
Data
Indus
trial W
aste
water
refer
s to a
ny
liquid
was
te re
sultin
g fro
m an
y acti
vity
proc
ess o
f indu
stry
volum
e of r
epor
ted w
astew
ater
treate
d in i
ndus
tries
NN
NN
11
0
N/A
6.3.2
Pro
portio
n of b
odies
of w
ater w
ith
good
ambie
nt wa
ter qu
ality
2EM
BAd
min
Data
6.3.2.
p1 P
ropo
rtion o
f mon
itore
d bod
ies of
wa
ter w
ith go
od am
bient
water
quali
ty1
DENR
Admi
n Da
ta
Prop
ortio
n of w
ater b
odies
(are
a) in
a c
ountr
y with
good
ambie
nt wa
ter
quali
ty co
mpar
ed to
all w
ater b
odies
in
the co
untry
water
quali
ty ind
ex (W
QI) a
t site
leve
l is
comp
uted a
s the
arith
metic
mea
n of
the si
te‐lev
el PT
T sc
ores
for t
he
selec
ted m
onito
red d
eterm
inand
s
NY
NN
11
0
N/A
Targ
et 6.
4: B
y 203
0, su
bsta
ntial
ly in
crea
se w
ater
-use
effic
iency
acro
ss al
l sec
tors
and
ensu
re su
stain
able
with
draw
als an
d su
pply
of fr
eshw
ater
to ad
dres
s wat
er sc
arcit
y and
subs
tant
ially
redu
ce th
e num
ber o
f peo
ple s
uffe
ring
from
wat
er sc
arcit
y6.4
.1 C
hang
e in w
ater-u
se ef
ficien
cy
over
time
3EM
BW
WRR
C
6.4.2
Leve
l of w
ater s
tress
: fres
hwate
r wi
thdra
wal a
s a pr
opor
tion o
f ava
ilable
fre
shwa
ter re
sour
ces
2W
WRR
C
Fres
hwate
r with
draw
al ch
arac
terize
s wa
ter us
age f
or do
mesti
c, mu
nicipa
l, irr
igatio
n, po
wer g
ener
ation
, fis
herie
s, liv
estoc
k rais
ing, in
dustr
ial,
recre
ation
al an
d othe
r pur
pose
s.
Repo
rted a
lloca
ted w
ater le
vel.
can b
e com
puted
using
the g
lobal
metho
dolog
y TRW
R an
d Env
shou
ld be
valid
ated i
f ava
ilable
11
1
N/A
Targ
et 6.
5: B
y 203
0, im
plem
ent i
nteg
rate
d wa
ter r
esou
rces
man
agem
ent a
t all l
evels
, inclu
ding
thro
ugh
trans
boun
dary
coop
erat
ion
as ap
prop
riate
6.5
.1 D
egre
e of in
tegra
ted w
ater
reso
urce
s man
agem
ent (
IWRM
) im
pleme
ntatio
n (0-
100)
3
6.5.1.
p1 P
erce
ntage
of im
pleme
ntatio
n of
prog
rams
and p
rojec
ts ide
ntifie
d in
the In
tegra
ted R
iver B
asin
Maste
r Plan
s (IR
BMP)
1DE
NRAd
min
Data
Perce
ntage
of im
pleme
ntatio
n of
prog
rams
and p
rojec
ts ide
ntifie
d in t
he
Integ
rated
Rive
r Bas
in Ma
ster P
lans
Total
imple
mente
d pro
gram
s and
pr
ojects
iden
tified
in IR
BMP
/ Tota
l pr
ogra
ms an
d pro
jects
of IR
BMP
NN
NN
11
N/A
103 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x6.5
.2 P
ropo
rtion o
f tran
sbou
ndar
y bas
in ar
ea w
ith an
oper
ation
al ar
rang
emen
t for
water
coop
erati
onN/
A
Targ
et 6.
6:By
2020
, pro
tect
and
rest
ore w
ater
-relat
ed ec
osys
tem
s, in
cludi
ng m
ount
ains,
fore
sts,
wetla
nds,
river
s, aq
uife
rs an
d lak
es6.6
.1 C
hang
e in t
he ex
tent o
f wate
r-rela
t-ed
ecos
ystem
s ove
r tim
e3
WW
RRC
Targ
et 6.
a: B
y 203
0, ex
pand
inte
rnat
iona
l coo
pera
tion
and
capa
city-
build
ing
supp
ort t
o de
velo
ping
coun
tries
in w
ater
- and
sani
tatio
n-re
lated
activ
ities
and
prog
ram
mes
, inclu
ding
wat
er h
arve
stin
g, d
esali
natio
n, w
ater
effic
iency
, wa
stew
ater
trea
tmen
t, re
cycli
ng an
d re
use t
echn
olog
ies6.a
.1 Am
ount
of wa
ter- a
nd sa
nitati
on-
relat
ed of
ficial
deve
lopme
nt as
sistan
ce
that is
part
of a g
over
nmen
t-coo
rdina
ted
spen
ding p
lan
1W
WRR
C
NN
NN
N/A
Targ
et 6.
b: S
uppo
rt an
d st
reng
then
the p
artic
ipat
ion
of lo
cal c
omm
uniti
es in
impr
ovin
g wa
ter a
nd sa
nita
tion
man
agem
ent
6.b.1
Prop
ortio
n of lo
cal a
dmini
strati
ve
units
with
estab
lishe
d and
oper
ation
al po
licies
and p
roce
dure
s for
partic
ipatio
n of
local
comm
unitie
s in w
ater a
nd sa
nitati
on
mana
geme
nt
1DI
LG
NN
NN
N/A
6.b.s1
Num
ber o
f func
tiona
l WAS
H co
uncil
s/ co
mmitte
es in
LGUs
1DI
LG
DOH
DILG
Pr
ogra
m an
d Pr
oject
Moni-
toring
Sy
stem
DOH
Healt
h Pr
omo-
tion a
nd
Comm
u-nic
ation
Se
rvice
NN
NN
11
1
N/A
6.b.s
2 Num
ber o
f loca
l WAS
H or
dinan
ces
stren
gthen
ing W
ASH
gove
rnan
ce in
the
comm
unitie
s1
DILG
DILG
Pr
ogra
m an
dN
NN
N1
11
N/
A
104 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xPr
oject
Moni-
toring
Sy
stem
Goal
7: E
nsur
e acc
ess t
o af
ford
able,
relia
ble,
sust
ainab
le an
d m
oder
n en
ergy
for a
ll Ta
rget
7.1:
By 2
030,
ensu
re u
nive
rsal
acce
ss to
affo
rdab
le, re
liabl
e and
mod
ern
ener
gy se
rvice
s7.1
.1 Pr
opor
tion o
f pop
ulatio
n with
acce
ss
to ele
ctrici
ty1
DOE
PSA
Admi
n Da
taY
YY
Y1
11
1
Annu
al
7.1.2
Prop
ortio
n of p
opula
tion w
ith pr
imar
y re
lianc
e on c
lean f
uels
and t
echn
ology
1DO
EAd
min
Data
NN
NN
11
0
N/A
Annu
al
Targ
et 7.
2: B
y 203
0, in
crea
se su
bsta
ntial
ly th
e sha
re o
f ren
ewab
le en
ergy
in th
e glo
bal e
nerg
y mix
7.2.1
Rene
wable
ener
gy sh
are i
n the
total
fin
al en
ergy
cons
umpti
onN/
ADO
E
Ca
lculat
ed by
divid
ing to
tal re
newa
ble
ener
gy ge
nera
tion b
y the
total
Elec
tric
Ener
gy P
rodu
ction
.
1
00
N/
A
Targ
et 7.
3: B
y 203
0, do
uble
the g
loba
l rat
e of i
mpr
ovem
ent i
n en
ergy
effic
iency
7.3.1
Ener
gy in
tensit
y mea
sure
d in t
erms
of
prim
ary e
nerg
y and
GDP
3PS
A
Calcu
lated
as un
its of
ener
gy (m
illion
ton
s of o
il equ
ivalen
t, MTO
E) pe
r unit
of
GDP
(in bi
llion p
esos
)
Ener
gy in
tensit
y is o
btaine
d by d
ivid-
ing to
tal en
ergy
supp
ly ov
er G
DP.
11
0
N/A
Targ
et 7.
a BY
2030
, enh
ance
inte
rnat
iona
l coo
pera
tion
to fa
cilita
te ac
cess
to cl
ean
ener
gy re
sear
ch an
d te
chno
logy
, inclu
ding
rene
wabl
e ene
rgy,
ener
gy ef
ficien
cy an
d ad
vanc
ed an
d cle
aner
foss
il-fu
el te
chno
logy
, and
pro
mot
e in
vest
men
t in
ener
gy in
frast
ruct
ure a
nd cl
ean
ener
gy te
chno
logy
7.a.1
Mob
ilized
amou
nt of
Unite
d St
ates d
ollar
s per
year
star
ting i
n 202
0 ac
coun
table
towar
ds th
e $10
0 billi
on
comm
itmen
t
N/A
Targ
et 7.
b By
2030
, exp
and
infra
stru
ctur
e and
upg
rade
tech
nolo
gy fo
r sup
plyin
g m
oder
n an
d su
stain
able
ener
gy se
rvice
s for
all in
dev
elopi
ng co
untri
es, in
par
ticul
ar le
ast d
evelo
ped
coun
tries
, sm
all is
land
deve
lopi
ng S
tate
s and
lan
dloc
ked
deve
lopi
ng co
untri
es, in
acco
rdan
ce w
ith th
eir re
spec
tive p
rogr
amm
es o
f sup
port
7.b.1
Inve
stmen
ts in
ener
gy ef
ficien
cy
as a
perce
ntage
of G
DP an
d the
amou
nt of
foreig
n dire
ct inv
estm
ent in
finan
cial
trans
fer fo
r infra
struc
ture a
nd te
chno
logy
to su
staina
ble de
velop
ment
servi
ces
3PS
A
Goal
8: P
rom
ote s
usta
ined
, inclu
sive a
nd su
stain
able
econ
omic
grow
th, f
ull a
nd p
rodu
ctive
empl
oym
ent a
nd d
ecen
t wor
k for
all
105 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
8.1:
Sus
tain
per
capi
ta ec
onom
ic gr
owth
in ac
cord
ance
with
nat
iona
l circ
umst
ance
s and
, in p
artic
ular
, at l
east
7 pe
r cen
t gro
ss d
omes
tic p
rodu
ct g
rowt
h pe
r ann
um in
the l
east
dev
elope
d co
untri
es
8.1.1
Annu
al gr
owth
rate
of re
al GD
P pe
r ca
pita
1PS
A
Real
GDP
per c
apita
in P
hP -
GDP
at co
nstan
t 200
0 pric
es di
vided
by to
tal
popu
lation
.-sa
me-
YY
NN
11
0
0
Targ
et 8.
2: A
chiev
e hig
her l
evels
of e
cono
mic
prod
uctiv
ity th
roug
h di
vers
ifica
tion,
tech
nolo
gica
l upg
radi
ng an
d in
nova
tion,
inclu
ding
thro
ugh
a foc
us o
n hi
gh-v
alue a
dded
and
labor
-inte
nsive
sect
ors
8.2.1
Annu
al gr
owth
rate
of re
al GD
P pe
r em
ploye
d per
son
1PS
A
Gros
s Dom
estic
Pro
duct
at co
nstan
t 20
00 pr
ices d
ivide
d by t
otal e
mploy
ed.
-same
-Y
YN
N1
10
0
Targ
et 8.
3 Pro
mot
e dev
elopm
ent-o
rient
ed p
olici
es th
at su
ppor
t pro
duct
ive ac
tiviti
es, d
ecen
t job
crea
tion,
entre
pren
eurs
hip,
crea
tivity
and
inno
vatio
n, an
d en
cour
age t
he fo
rmali
zatio
n an
d gr
owth
of m
icro-
, sm
all- a
nd m
ediu
m-s
ized
ente
rpris
es, in
cludi
ng th
roug
h ac
cess
to fi
nanc
ial se
rvice
s 8.3
.1 P
ropo
rtion o
f infor
mal e
mploy
ment
in no
n agr
icultu
re em
ploym
ent, b
y sex
2PS
A
Targ
et 8.
4 Im
prov
e pro
gres
sively
, thr
ough
2030
, glo
bal r
esou
rce e
fficie
ncy i
n co
nsum
ptio
n an
d pr
oduc
tion
and
ende
avou
r to
deco
uple
econ
omic
grow
th fr
om en
viron
men
tal d
egra
datio
n, in
acco
rdan
ce w
ith th
e 10 Y
ear F
ram
ewor
k of
Pro
gram
mes
on
Sust
ainab
le Co
nsum
ptio
n an
d Pr
oduc
tion,
with
dev
elope
d co
untri
es ta
king
the l
ead
8.4.1
Mater
ial fo
otprin
t, mate
rial fo
otprin
t pe
r cap
ita, a
nd m
ateria
l footp
rint p
er G
DP3
PSA
8.4.2
Dom
estic
mate
rial c
onsu
mptio
n, do
mesti
c mate
rial c
onsu
mptio
n per
capit
a, an
d dom
estic
mate
rial c
onsu
mptio
n per
GD
P
3PS
A
Targ
et 8.
5: B
y 203
0, ac
hiev
e ful
l and
pro
duct
ive em
ploy
men
t and
dec
ent w
ork f
or al
l wom
en an
d m
en, in
cludi
ng fo
r you
ng p
eopl
e and
per
sons
with
disa
bilit
ies, a
nd eq
ual p
ay fo
r wor
k of e
qual
valu
e8.5
.1 A
vera
ge ho
urly
earn
ings o
f fema
le an
d male
emplo
yees
, by o
ccup
ation
, age
an
d per
sons
with
disa
bilitie
s3
CSC/
DO
LE
8.5.2
Unem
ploym
ent r
ate, b
y sex
, age
and
perso
ns w
ith di
sabil
ities
1PS
A
Unem
ploye
d per
sons
are t
hose
of
worki
ng ag
e (us
ually
perso
ns ag
ed
15 an
d abo
ve) w
ho w
ere n
ot in
emplo
ymen
t, car
ried o
ut ac
tivitie
s to
seek
emplo
ymen
t dur
ing a
spec
ified
rece
nt pe
riod a
nd w
ere c
urre
ntly
avail
able
to tak
e up e
mploy
ment
given
a j
ob op
portu
nity,
wher
e: (a
) “no
t in
emplo
ymen
t” is
asse
ssed
with
resp
ect
to the
shor
t refe
renc
e per
iod fo
r the
me
asur
emen
t of e
mploy
ment;
Unem
ploym
ent r
ate =
Une
mploy
ed
perso
ns / P
erso
ns in
the l
abou
r for
ce
*100
YY
Y
11
0
1
106 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x; (
b) to
“see
k emp
loyme
nt” re
fers t
o an
y acti
vity w
hen c
arrie
d out,
durin
g a s
pecifi
ed re
cent
perio
d com
prisi
ng
the la
st fou
r wee
ks or
one m
onth,
for
the p
urpo
se of
findin
g a jo
b or
settin
g up a
busin
ess o
r agr
icultu
ral
unde
rtakin
g; (c)
the p
oint w
hen t
he
enter
prise
star
ts to
exist
shou
ld be
us
ed to
disti
nguis
h betw
een s
earch
ac
tivitie
s aim
ed at
settin
g up a
bu
sines
s and
the w
ork a
ctivit
y itse
lf, as
evide
nced
by th
e ente
rpris
e’s
regis
tratio
n to o
pera
te or
by w
hen
finan
cial re
sour
ces b
ecom
e ava
ilable
, the
nece
ssar
y infr
astru
cture
or
mater
ials a
re in
plac
e or t
he fir
st cli
ent
or or
der is
rece
ived,
depe
nding
on
the co
ntext;
(d) “
curre
ntly a
vaila
ble”
serve
s as a
test
of re
adine
ss to
star
t a j
ob in
the p
rese
nt, as
sess
ed w
ith
resp
ect to
a sh
ort r
efere
nce p
eriod
co
mpris
ing th
at us
ed to
mea
sure
em
ploym
ent (
depe
nding
on na
tiona
l cir
cums
tance
s, the
refer
ence
perio
d ma
y be e
xtend
ed to
inclu
de a
shor
t su
bseq
uent
perio
d not
exce
eding
tw
o wee
ks in
total
, so a
s to e
nsur
e ad
equa
te co
vera
ge of
unem
ploym
ent
situa
tions
amon
g diffe
rent
popu
lation
gr
oups
).Ta
rget
8.6:
By 2
020,
subs
tant
ially
redu
ce th
e pro
porti
on o
f you
th n
ot in
empl
oym
ent,
educ
atio
n or
train
ing
8.6.1
Prop
ortio
n of y
outh
(age
d 15-
24
year
s) no
t in ed
ucati
on, e
mploy
ment
or
traini
ng1
PSA
This
prop
ortio
n of y
outh
(age
d 15-
24
year
s) no
t in ed
ucati
on, e
mploy
ment
or tr
aining
, also
know
n as “
the N
EET
rate”
, con
veys
the n
umbe
r of y
oung
pe
rsons
not in
educ
ation
, emp
loyme
nt or
train
ing as
a pe
rcenta
ge of
the t
otal
youth
popu
lation
.
NEET
rate
= (Y
outh
– You
th in
em-
ploym
ent –
Youth
not in
emplo
ymen
t bu
t in ed
ucati
on or
train
ing) /
Youth
*100
NN
NN
11
0
1
107 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
8.7:
Take
imm
ediat
e and
effe
ctive
mea
sure
s to
erad
icate
forc
ed la
bour
, end
mod
ern
slave
ry an
d hu
man
traf
fickin
g an
d se
cure
the p
rohi
bitio
n an
d eli
min
atio
n of
the w
orst
form
s of c
hild
labo
ur, in
cludi
ng re
crui
tmen
t and
use
of
child
sold
iers,
and
by 20
25 en
d ch
ild la
bour
in al
l its f
orm
s 8.7
.1 P
ropo
rtion a
nd nu
mber
of ch
ildre
n ag
ed 5
17 ye
ars e
ngag
ed in
child
labo
ur,
by se
x and
age
3DO
LE/
DSW
D
Targ
et 8.
8: P
rote
ct la
bour
righ
ts an
d pr
omot
e saf
e and
secu
re w
orkin
g en
viron
men
ts fo
r all w
orke
rs, in
cludi
ng m
igra
nt w
orke
rs, in
par
ticul
ar w
omen
mig
rant
s, an
d th
ose i
n pr
ecar
ious
empl
oym
ent
8.8.1
Freq
uenc
y rate
s of fa
tal an
d no
n-fat
al oc
cupa
tiona
l injur
ies, b
y sex
and
migr
ant s
tatus
1PS
A
The f
requ
ency
rates
of fa
tal an
d no
n-fat
al oc
cupa
tiona
l injur
ies pr
ovide
inf
orma
tion o
n the
numb
er of
case
s of
fatal
and n
on-fa
tal oc
cupa
tiona
l inj
ury p
er ho
urs w
orke
d by t
he
conc
erne
d pop
ulatio
n dur
ing th
e re
feren
ce pe
riod.
It is a
mea
sure
of
the ris
k of h
aving
a fat
al or
a no
n-fat
al oc
cupa
tiona
l injur
y bas
ed on
the
dura
tion o
f exp
osur
e to a
dver
se w
ork-
relat
ed fa
ctors.
Freq
uenc
y rate
- ca
ses o
f occ
upa-
tiona
l injur
ies w
ith w
orkd
ays l
ost
includ
ing fa
taliie
s per
1,00
0,000
em
ploye
e-ho
urs o
f exp
osur
e
NN
NN
11
1
1
8.8.2
Incre
ase i
n nati
onal
comp
lianc
e of
labou
r righ
ts (fr
eedo
m of
asso
ciatio
n and
co
llecti
ve ba
rgain
ing) b
ased
on In
terna
-tio
nal L
abou
r Org
aniza
tion (
ILO) t
extua
l so
urce
s and
natio
nal le
gislat
ion, b
y sex
an
d migr
ant s
tatus
3DO
LE
Targ
et 8.
9: B
y 203
0, de
vise a
nd im
plem
ent p
olici
es to
pro
mot
e sus
tain
able
tour
ism th
at cr
eate
s job
s and
pro
mot
es lo
cal c
ultu
re an
d pr
oduc
ts
8.9.1
Tour
ism di
rect
GDP
as a
prop
ortio
n of
total
GDP
and i
n gro
wth r
ate3
PSA
Prod
uctio
n acc
ounts
of to
urism
and
non-
touris
m ind
ustrie
s: It c
onfor
ms
to the
form
at es
tablis
hed i
n the
SNA
19
93 w
here
1.) o
utput
is br
oken
do
wn by
prod
uct, f
ollow
ed by
; 2.)
inter
media
te co
nsum
ption
(also
calle
d int
erme
diate
inputs
). Th
e diffe
renc
e be
twee
n the
se tw
o valu
es is
calle
d gr
oss v
alue a
dded
(GVA
)
Tour
ism D
irect
Gros
s Valu
e Add
ed
(TDG
VA) is
comp
uted u
sing t
he
para
meter
s fro
m the
Inpu
t-Outp
ut tab
les. S
hare
of to
urism
value
adde
d to
GDP
is ca
lculat
ed by
divid
ing th
e TD
GVA
with
GDP
at cu
rrent
price
s.
10
0
N/A
8.9.2
Numb
er of
jobs
in to
urism
indu
stries
as
a pr
opor
tion o
f total
jobs
and g
rowt
h ra
te of
jobs,
by se
x3
DOT
108 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
8.10
: Stre
ngth
en th
e cap
acity
of d
omes
tic fi
nanc
ial in
stitu
tions
to en
cour
age a
nd ex
pand
acce
ss to
ban
king,
insu
ranc
e and
fina
ncial
serv
ices f
or al
l
8.10.1
(a) N
umbe
r of c
omme
rcial
bank
br
anch
es pe
r 100
,000 a
dults
and (
b) nu
m-be
r of a
utoma
ted te
ller m
achin
es (A
TMs)
per 1
00,00
0 adu
lts
1BS
PAd
min
Data
a) N
umbe
r of o
ffices
of B
SP
supe
rvise
d/reg
ulated
finan
cial
institu
tions
by ty
pe of
finan
cial
institu
tion (
bank
s, no
n-ba
nks,
and o
ff-sh
ore b
ankin
g unit
s) wi
th br
eakd
own
as to
Hea
d Offic
e and
Othe
r Offic
es b)
Numb
er of
autom
ated t
eller
ma
chine
s (AT
Ms) w
ith br
eakd
own a
s to
on-si
te an
d offs
ite an
d num
ber o
f ba
nks w
ith el
ectro
nic ba
nking
facil
ities
YY
YY
11
0
0
8.10.2
Pro
portio
n of a
dults
(15 y
ears
and
older
) with
an ac
coun
t at a
bank
or ot
her
finan
cial in
stitut
ion or
with
a mo
bile-
mon-
ey-se
rvice
prov
ider
1BS
PAd
min
Data
Targ
et 8.
a Inc
reas
e Aid
for T
rade
supp
ort f
or d
evelo
ping
coun
tries
, in p
artic
ular
leas
t dev
elope
d co
untri
es, in
cludi
ng th
roug
h th
e Enh
ance
d In
tegr
ated
Fra
mew
ork f
or Tr
ade-
relat
ed Te
chni
cal A
ssist
ance
to L
east
Dev
elope
d Co
untri
es8.a
.1 A
id for
Trad
e com
mitm
ents
and
disbu
rseme
ntsNA
Targ
et 8.
b By
2020
, dev
elop
and
oper
atio
naliz
e a g
loba
l stra
tegy
for y
outh
empl
oym
ent a
nd im
plem
ent t
he G
loba
l Job
s Pac
t of t
he In
tern
atio
nal L
abou
r Org
aniza
tion
8.b.1
Total
gove
rnme
nt sp
endin
g in s
ocial
pr
otecti
on an
d emp
loyme
nt pr
ogra
mmes
as
a pr
opor
tion o
f the n
ation
al bu
dgets
an
d GDP
3PS
A
Goal
9: B
uild
resil
ient i
nfra
stru
ctur
e, pr
omot
e inc
lusiv
e and
sust
ainab
le in
dust
rializ
atio
n an
d fo
ster
inno
vatio
nTa
rget
9.1:
Dev
elop
quali
ty, re
liabl
e, su
stain
able
and
resil
ient i
nfra
stru
ctur
e, in
cludi
ng re
gion
al an
d tra
nsbo
rder
infra
stru
ctur
e, to
supp
ort e
cono
mic
deve
lopm
ent a
nd h
uman
well
-bein
g, w
ith a
focu
s on
affo
rdab
le an
d eq
uita
ble
acce
ss fo
r all
9.1.1
Prop
ortio
n of th
e rur
al po
pulat
ion
who l
ive w
ithin
2 km
of an
all-s
easo
n roa
d3
PSA/
DPW
H
9.1.2
Pass
enge
r and
freig
ht vo
lumes
, by
mode
of tr
ansp
ort
1DO
Tr /
PSA
Pass
enge
r and
freig
ht vo
lumes
is
the su
m of
the pa
ssen
ger a
nd fr
eight
volum
es re
porte
d for
the a
ir car
riersi
n ter
ms of
numb
er of
peop
le an
d metr
ic ton
nes o
f car
go re
spec
tively
.
The i
ndica
tor is
calcu
lated
thro
ugh
a sum
of th
e pas
seng
er an
d fre
ight
volum
es re
porte
d for
the a
ir car
riers
throu
gh th
e Civi
l Avia
tion A
uthor
ity of
the
Phil
ippine
s.
NY
NY
11
0
0
109 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
9.2:
Pro
mot
e inc
lusiv
e and
sust
ainab
le in
dust
rializ
atio
n an
d, b
y 203
0, sig
nific
antly
raise
indu
stry
’s sh
are o
f em
ploy
men
t and
gro
ss d
omes
tic p
rodu
ct, in
line w
ith n
atio
nal c
ircum
stan
ces,
and
doub
le its
shar
e in
least
de
velo
ped
coun
tries
9.2.1
Manu
factur
ing va
lue ad
ded a
s a
prop
ortio
n of G
DP an
d per
capit
a1
PSA
M+I25
7:J43
9anu
factur
ing gr
oss
value
adde
d (GV
A) as
a pr
opor
tion
of Gr
oss D
omes
tic P
rodu
ct (G
DP).
It is
gene
rally
comp
iled a
s the
sum
of the
value
adde
d of a
ll man
ufactu
ring
activ
ity un
its in
oper
ation
in th
e re
feren
ce pe
riod
Manu
factur
ing G
VA/G
DPY
YY
N1
10
N/
A
9.2.2
Manu
factur
ing em
ploym
ent a
s a
prop
ortio
n of to
tal em
ploym
ent
1PS
ADe
fine e
mploy
ment
at the
natio
nal
conte
xt fro
m LF
S
Numb
er of
perso
ns em
ploye
d in m
an-
ufactu
ring a
ctivit
ies / T
otal n
umbe
r of
emplo
ymen
t in al
l acti
vities
× 10
0Y
YY
N1
10
1
Targ
et 9.
3 Inc
reas
e the
acce
ss o
f sm
all-s
cale
indu
stria
l and
oth
er en
terp
rises
, in p
artic
ular
in d
evelo
ping
coun
tries
, to
finan
cial s
ervic
es, in
cludi
ng af
ford
able
cred
it, an
d th
eir in
tegr
atio
n in
to va
lue c
hain
s and
mar
kets
9.3.1
Pro
portio
n of s
mall-s
cale
indus
tries
in tot
al ind
ustry
value
adde
d3
DTI
DOST
9.3.2
Pro
portio
n of s
mall-s
cale
indus
tries
with
a loa
n or li
ne of
cred
it3
DTI
DOST
Targ
et 9.
4 By 2
030,
upgr
ade i
nfra
stru
ctur
e and
retro
fit in
dust
ries t
o m
ake t
hem
sust
ainab
le, w
ith in
crea
sed
reso
urce
-use
effic
iency
and
grea
ter a
dopt
ion
of cl
ean
and
envir
onm
enta
lly so
und
tech
nolo
gies
and
indu
stria
l pro
cess
es,
with
all c
ount
ries t
akin
g ac
tion
in ac
cord
ance
with
their
resp
ectiv
e cap
abilit
ies9.4
.1 CO
2 emi
ssion
per u
nit of
value
ad
ded
3EM
B
Targ
et 9.
5: E
nhan
ce sc
ientifi
c res
earc
h, u
pgra
de th
e tec
hnol
ogica
l cap
abilit
ies o
f ind
ustri
al se
ctor
s in
all co
untri
es, in
par
ticul
ar d
evelo
ping
coun
tries
, inclu
ding
, by 2
030,
enco
urag
ing
inno
vatio
n an
d su
bsta
ntial
ly in
crea
sing
the
num
ber o
f res
earc
h an
d de
velo
pmen
t wor
kers
per
1 m
illion
peo
ple a
nd p
ublic
and
priva
te re
sear
ch an
d de
velo
pmen
t spe
ndin
g
9.5.1
Rese
arch
and d
evelo
pmen
t exp
endi-
ture a
s a pr
opor
tion o
f GDP
1PS
A DO
STCo
mpen
-diu
m
Rese
arch
and d
evelo
pmen
t (R&
D)
expe
nditu
re as
a pr
opor
tion o
f Gro
ss
Dome
stic P
rodu
ct (G
DP) is
the
amou
nt of
R&D
expe
nditu
re di
vided
by
the t
otal o
utput
of the
econ
omy.
Use t
he fo
rmula
for t
he pr
opor
tion
YY
YN
11
0
N/A
9.5.2
Rese
arch
ers (
in ful
l-time
equiv
alent)
pe
r milli
on in
habit
ants
2PS
A DO
ST9.5
.2.s1
Pro
portio
n of g
radu
ates o
f sc
ience
cour
ses t
o tota
l gra
duate
s1
DOST
YY
NN
Targ
et 9.
a: F
acilit
ate s
usta
inab
le an
d re
silien
t inf
rast
ruct
ure d
evelo
pmen
t in
deve
lopi
ng co
untri
es th
roug
h en
hanc
ed fi
nanc
ial, t
echn
olog
ical a
nd te
chni
cal s
uppo
rt to
Afri
can
coun
tries
, leas
t dev
elope
d co
untri
es, la
ndlo
cked
de
velo
ping
coun
tries
and
small
islan
d de
velo
ping
Sta
tes
110 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x9.a
.1 To
tal of
ficial
inter
natio
nal s
uppo
rt (o
fficial
deve
lopme
nt as
sistan
ce pl
us ot
her
officia
l flow
s) to
infra
struc
ture
2NE
DADP
WH
Cons
ult D
BM/N
EDA/
DOF
Cons
ult D
BM/N
EDA/
DOF
11
1
N/A
Targ
et 9.
b Su
ppor
t dom
estic
tech
nolo
gy d
evelo
pmen
t, re
sear
ch an
d in
nova
tion
in d
evelo
ping
coun
tries
, inclu
ding
by e
nsur
ing
a con
duciv
e pol
icy en
viron
men
t for
, inte
r alia
, indu
stria
l dive
rsifi
catio
n an
d va
lue a
dditi
on to
co
mm
oditi
es9.b
.1 P
ropo
rtion o
f med
ium an
d high
-tech
ind
ustry
value
adde
d in t
otal v
alue a
dded
3
Targ
et 9.
c Sig
nific
antly
incr
ease
acce
ss to
info
rmat
ion
and
com
mun
icatio
ns te
chno
logy
and
striv
e to
prov
ide u
nive
rsal
and
affo
rdab
le ac
cess
to th
e Int
erne
t in
least
dev
elope
d co
untri
es b
y 202
09.c
.1 P
ropo
rtion o
f pop
ulatio
n cov
ered
by
a mob
ile ne
twor
k, by
tech
nolog
y2
NTC
Goal
10: R
educ
e ine
quali
ty w
ithin
and
amon
g co
untri
es.
Targ
et 10
.1: B
y 203
0, pr
ogre
ssive
ly ac
hiev
e and
sust
ain in
com
e gro
wth
of th
e bot
tom
40 p
er ce
nt o
f the
pop
ulat
ion
at a
rate
hig
her t
han
the n
atio
nal a
vera
ge
10.1.
1 Gro
wth r
ates o
f hou
seho
ld ex
pen-
ditur
e or in
come
per c
apita
amon
g the
bo
ttom
40 pe
r cen
t of th
e pop
ulatio
n and
the
total
popu
lation
1PS
A
Grow
th ra
tes ar
e calc
ulated
as
annu
alize
d gro
wth r
ates o
ver a
ro
ughly
5-ye
ar pe
riod.
This
is co
mpute
d usin
g the
comp
unde
d gr
owth
formu
la: (
(((me
an t_
1)/(m
ean
t_0))^
(1/n)
)-1)*1
00
YN
YN
11
0
0
Targ
et 10
.2: B
y 203
0, em
powe
r and
pro
mot
e the
socia
l, eco
nom
ic an
d po
litica
l inclu
sion
of al
l, irre
spec
tive o
f age
, sex
, disa
bilit
y, ra
ce, e
thni
city,
orig
in, r
eligi
on o
r eco
nom
ic or
oth
er st
atus
10
.2.1 P
ropo
rtion o
f peo
ple liv
ing be
low
50 pe
r cen
t of m
edian
inco
me, b
y age
, sex
an
d per
sons
with
disa
bilitie
s1
PSA
YN
YN
11
0
0
Targ
et 10
.3 En
sure
equa
l opp
ortu
nity
and
redu
ce in
equa
lities
of o
utco
me,
inclu
ding
by e
limin
atin
g di
scrim
inat
ory l
aws,
polic
ies an
d pr
actic
es an
d pr
omot
ing
appr
opria
te le
gisla
tion,
pol
icies
and
actio
n in
this
rega
rd10
.3.1
Prop
ortio
n of th
e pop
ulatio
n rep
ort-
ing ha
ving p
erso
nally
felt d
iscrim
inated
ag
ainst
or ha
rass
ed w
ithin
the pr
eviou
s 12
mon
ths on
the b
asis
of a g
roun
d of
discri
mina
tion p
rohib
ited u
nder
inter
natio
n-al
huma
n righ
ts law
3CH
RCS
CDS
WD
Targ
et 10
.4: A
dopt
pol
icies
, esp
ecial
ly fis
cal, w
age a
nd so
cial p
rote
ctio
n po
licies
, and
pro
gres
sively
achi
eve g
reat
er eq
ualit
y
10.4.
1 Lab
our s
hare
of G
DP, c
ompr
ising
wa
ges a
nd so
cial p
rotec
tion t
rans
fers
3PS
A
This
is the
ratio
of co
mpen
satio
n re
ceive
d by e
mploy
ees o
ver G
DP.
Labo
r sha
re of
GDP
= to
tal
comp
ensa
tion o
f emp
loyee
s / G
DP
* 100
10
0
N/A
111 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
10.5:
Impr
ove t
he re
gulat
ion
and
mon
itorin
g of
glo
bal fi
nanc
ial m
arke
ts an
d in
stitu
tions
and
stre
ngth
en th
e im
plem
enta
tion
of su
ch re
gulat
ions
10.5.
1 Fina
ncial
Sou
ndne
ss In
dicato
rsN/
A
Th
ese a
re th
e sets
of in
dicato
rs the
BS
P is
subm
itting
to IM
F wh
ich is
co
nsist
of 7
indica
tors
10
0
N/A
Targ
et 10
.6: E
nsur
e enh
ance
d re
pres
enta
tion
and
voice
for d
evelo
ping
coun
tries
in d
ecisi
on-m
akin
g in
glo
bal in
tern
atio
nal e
cono
mic
and
finan
cial in
stitu
tions
in o
rder
to d
elive
r mor
e effe
ctive
, cre
dibl
e, ac
coun
tabl
e and
legi
timat
e in
stitu
tions
10.6.
1 Pro
portio
n of m
embe
rs an
d vo
ting r
ights
of de
velop
ing co
untrie
s in
inter
natio
nal o
rgan
izatio
ns
Indic
ator is
also
foun
d in S
DG 16
.8.1
N/A
N/A
N/A
N/A
N/
A
Targ
et 10
.7 Fa
cilita
te o
rder
ly, sa
fe, r
egul
ar an
d re
spon
sible
mig
ratio
n an
d m
obilit
y of p
eopl
e, in
cludi
ng th
roug
h th
e im
plem
enta
tion
of p
lanne
d an
d we
ll-m
anag
ed m
igra
tion
polic
ies10
.7.1
Recru
itmen
t cos
t bor
ne by
em
ploye
e as a
prop
ortio
n of y
early
inco
me
earn
ed in
coun
try of
desti
natio
n3
PSA
10.7.
2 Num
ber o
f cou
ntries
that
have
im
pleme
nted w
ell-m
anag
ed m
igrati
on
polic
iesN/
A
Targ
et 10
.a: Im
plem
ent t
he p
rincip
le of
spec
ial an
d di
ffere
ntial
trea
tmen
t for
dev
elopi
ng co
untri
es, in
par
ticul
ar le
ast d
evelo
ped
coun
tries
, in ac
cord
ance
with
Wor
ld Tr
ade O
rgan
izatio
n ag
reem
ents
10.a.
1 Pro
portio
n of ta
riff lin
es ap
plied
to
impo
rts fr
om le
ast d
evelo
ped c
ountr
ies
and d
evelo
ping c
ountr
ies w
ith ze
ro-ta
riffN/
A
Prop
ortio
n of to
tal nu
mber
of ta
riff
lines
in pe
rcent
appli
ed to
prod
ucts
impo
rted f
rom
least
deve
loped
co
untrie
s and
deve
loping
coun
tries
corre
spon
ding t
o 0 pe
rcent
tariff
rate
in HS
chap
ter 01
-97
The i
ndica
tor is
calcu
lated
as th
e av
erag
e sha
re of
natio
nal ta
riff lin
es
that a
re fr
ee of
duty.
1
N/A
Targ
et 10
.b: E
ncou
rage
offi
cial d
evelo
pmen
t ass
istan
ce an
d fin
ancia
l flow
s, in
cludi
ng fo
reig
n di
rect
inve
stm
ent,
to S
tate
s whe
re th
e nee
d is
grea
test
, in p
artic
ular
leas
t dev
elope
d co
untri
es, A
frica
n co
untri
es, s
mall
islan
d de
velo
ping
Sta
tes a
nd la
ndlo
cked
dev
elopi
ng co
untri
es, in
acco
rdan
ce w
ith th
eir n
atio
nal p
lans a
nd p
rogr
amm
es10
.b.1 T
otal re
sour
ce flo
ws fo
r de
velop
ment,
by re
cipien
t and
dono
r co
untrie
s and
type
of flo
w (e
.g. of
ficial
de
velop
ment
assis
tance
, fore
ign di
rect
inves
tmen
t and
othe
r flow
s)
2NE
DA
11
1
N/A
Targ
et 10
.c By
2030
, red
uce t
o les
s tha
n 3 p
er ce
nt th
e tra
nsac
tion
cost
s of m
igra
nt re
mitt
ance
s and
elim
inat
e rem
ittan
ce co
rrido
rs w
ith co
sts h
ighe
r tha
n 5 p
er ce
nt10
.c.1 R
emitta
nce c
osts
as a
prop
ortio
n of
the am
ount
remi
tted
2PS
A
112 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xGo
al 11
: Mak
e citi
es an
d hu
man
settl
emen
ts in
clusiv
e, sa
fe, r
esilie
nt an
d su
stain
able
Targ
et 11
.1: B
y 203
0, en
sure
acce
ss fo
r all t
o ad
equa
te, s
afe a
nd af
ford
able
hous
ing
and
basic
serv
ices a
nd u
pgra
de sl
ums
11.1.
1 Pr
opor
tion o
f urb
an po
pulat
ion
living
in sl
ums,
infor
mal s
ettlem
ents
or
inade
quate
hous
ing2
HUDC
C HL
URB
Targ
et 11
.2: B
y 203
0, pr
ovid
e acc
ess t
o sa
fe, a
fford
able,
acce
ssib
le an
d su
stain
able
trans
port
syst
ems f
or al
l, im
prov
ing
road
safe
ty, n
otab
ly by
expa
ndin
g pu
blic
trans
port,
with
spec
ial at
tent
ion
to th
e nee
ds o
f tho
se in
vuln
erab
le sit
uatio
ns, w
omen
, chi
ldre
n, p
erso
ns w
ith d
isabi
lities
and
olde
r per
sons
11
.2.1
Prop
ortio
n of p
opula
tion t
hat h
as
conv
enien
t acc
ess t
o pub
lic tr
ansp
ort, b
y se
x, ag
e and
perso
ns w
ith di
sabil
ities
3LT
O
DPW
H
Targ
et 11
.3 By
2030
, enh
ance
inclu
sive a
nd su
stain
able
urba
niza
tion
and
capa
city f
or p
artic
ipat
ory,
inte
grat
ed an
d su
stain
able
hum
an se
ttlem
ent p
lanni
ng an
d m
anag
emen
t in
all co
untri
es11
.3.1
Ratio
of la
nd co
nsum
ption
rate
to po
pulat
ion gr
owth
rate
2PS
A
11.3.
2 Pro
portio
n of c
ities w
ith a
direc
t pa
rticipa
tion s
tructu
re of
civil
socie
ty in
urba
n plan
ning a
nd m
anag
emen
t that
oper
ate re
gular
ly an
d dem
ocra
ticall
y
3PS
A
Targ
et 11
.4 St
reng
then
effo
rts to
pro
tect
and
safe
guar
d th
e wor
ld’s
cultu
ral a
nd n
atur
al he
ritag
e11
.4.1 T
otal e
xpen
ditur
e (pu
blic a
nd pr
i-va
te) pe
r cap
ita sp
ent o
n the
pres
erva
tion,
prote
ction
and c
onse
rvatio
n of a
ll cult
ural
and n
atura
l her
itage
, by t
ype o
f her
itage
(cu
ltura
l, natu
ral, m
ixed a
nd W
orld
Herita
ge C
entre
desig
natio
n), le
vel o
f go
vern
ment
(nati
onal,
regio
nal a
nd lo
cal/
munic
ipal),
type o
f exp
endit
ure (
oper
ating
ex
pend
iture
/inve
stmen
t) an
d typ
e of
priva
te fun
ding (
dona
tions
in ki
nd, p
rivate
no
n-pr
ofit s
ector
and s
pons
orsh
ip)
2
NCIP
DOT
NCAA
Targ
et 11
.5: B
y 203
0, sig
nific
antly
redu
ce th
e num
ber o
f dea
ths a
nd th
e num
ber o
f peo
ple a
ffect
ed an
d su
bsta
ntial
ly de
crea
se th
e dire
ct ec
onom
ic lo
sses
relat
ive to
glo
bal g
ross
dom
estic
pro
duct
caus
ed b
y disa
ster
s, in
cludi
ng
wate
r-rela
ted
disa
ster
s, wi
th a
focu
s on
prot
ectin
g th
e poo
r and
peo
ple i
n vu
lner
able
situa
tions
11.5.
1 Num
ber o
f dea
ths, m
issing
perso
ns
and d
irectl
y affe
cted p
erso
ns at
tribute
d to
1OC
DDe
ath: C
heck
the d
efinit
ion of
DILG
Mi
ssing
Per
sons
: Che
ck th
e defi
nition
Affec
ted pe
rsons
: The
summ
ation
of
all af
fected
perso
ns ba
sed o
n the
NN
NN
11
1
1An
nual
113 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x
disas
ters p
er 10
0,000
popu
lation
Indic
ator
is als
o fou
nd in
SDG
1.5.1
and 1
3.1.2.
of DI
LG A
ffecte
d: Th
e tota
l num
ber
of aff
ected
fami
lies f
rom
the af
fected
ba
rang
ays o
f a m
unici
pality
or
city.
. The
total
numb
er of
affec
ted
indivi
duals
or po
pulac
e (the
fami
ly he
ad an
d its
depe
nden
ts) re
siding
in
the af
fected
bara
ngay
s of a
mu
nicipa
lity or
city.
Disp
laced
Insid
e Ev
acua
tion C
enter
s: Th
e tota
l nu
mber
of af
fected
fami
lies w
ho to
ok
pre-
empti
ve ev
acua
tion p
rior t
o the
on
slaug
ht of
the di
saste
r, or w
ho
soug
ht tem
pora
ry re
fuge d
ue to
the
disas
ter, in
an ev
acua
tion c
enter
. The
tot
al nu
mber
of af
fected
indiv
iduals
or
popu
lace (
the fa
mily
head
and i
ts de
pend
ents)
who
took
pre-
empti
ve
evac
uatio
n prio
r to t
he on
slaug
ht of
the di
saste
r; or
who
soug
ht tem
pora
ry re
fuge d
ue to
the d
isaste
r, in
an ev
acua
tion c
enter
. Disp
laced
Ou
tside
Eva
cuati
on C
enter
s: Th
e tot
al nu
mber
of af
fected
fami
lies w
ho
took p
re-e
mtive
evac
uatio
n prio
r to
the on
slaug
ht of
the di
saste
r; or
who
so
ught
tempo
rary
refug
e due
to th
e dis
aster
, eith
er to
their
relat
ives’
or
friend
s’ ho
use.
The t
otal n
umbe
r of
affec
ted in
dividu
als or
popu
lace (
the
family
head
and i
ts de
pend
ents)
who
too
k pre
-emt
ive ev
acua
tion p
rior t
o the
onsla
ught
of the
disa
ster;
or w
ho
soug
ht tem
pora
ry re
fuge d
ue to
the
disas
ter ei
ther t
o the
ir rela
tives
’ or
friend
’s ho
use
repo
rt su
bmitte
d by t
he LG
Us th
roug
h Lo
cal S
ocial
Welf
are D
evelo
pmen
t Of
fices
(LSW
DOs)
11.5.
2 Di
rect
disas
ter ec
onom
ic los
s in
relat
ion to
glob
al GD
P, inc
luding
disa
ster
dama
ge to
critic
al inf
rastr
uctur
e and
dis
rupti
on of
basic
servi
ces
2PS
A
114 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
11.6:
By 2
030,
redu
ce th
e adv
erse
per
capi
ta en
viron
men
tal im
pact
of c
ities
, inclu
ding
by p
ayin
g sp
ecial
atte
ntio
n to
air q
ualit
y and
mun
icipa
l and
oth
er w
aste
man
agem
ent
11.6.
1 Pr
opor
tion o
f urb
an so
lid w
aste
regu
larly
colle
cted a
nd w
ith ad
equa
te fin
al dis
char
ge ou
t of to
tal ur
ban s
olid w
aste
gene
rated
, by c
ities
1LG
Us/
EMB
N
NN
N
11
Annu
al
11.6.
2 An
nual
mean
leve
ls of
fine p
ar-
ticula
te ma
tter (
e.g. P
M2.5
and P
M10)
in
cities
(pop
ulatio
n weig
hted)
1EM
B
NY
YN
1
1
An
nual
11.6.
2p1 P
erce
ntage
of hi
ghly
urba
nized
an
d othe
r majo
r urb
an ce
nters
withi
n am-
bient
air qu
ality
guide
lines
value
incre
ased
1EM
B
Targ
et 11
.7 By
2030
, pro
vide u
nive
rsal
acce
ss to
safe
, inclu
sive a
nd ac
cess
ible,
gre
en an
d pu
blic
spac
es, in
par
ticul
ar fo
r wom
en an
d ch
ildre
n, o
lder
per
sons
and
pers
ons w
ith d
isabi
lities
11.7.
1 Av
erag
e sha
re of
the b
uilt-u
p are
a of
cities
that
is op
en sp
ace f
or pu
blic
use f
or al
l, by s
ex, a
ge an
d per
sons
with
dis
abilit
ies
2LG
Us/
NAMR
IA
1
An
nual
11.7.
2 Pro
portio
n of p
erso
ns vi
ctim
of ph
ysica
l or s
exua
l har
assm
ent, b
y sex
, ag
e, dis
abilit
y stat
us an
d plac
e of o
ccur
-re
nce,
in the
prev
ious 1
2 mon
ths
2PR
O-CO
R
Targ
et 11
.a: S
uppo
rt po
sitive
econ
omic,
socia
l and
envir
onm
enta
l link
s bet
ween
urb
an, p
er-u
rban
and
rura
l are
as b
y stre
ngth
enin
g na
tiona
l and
regi
onal
deve
lopm
ent p
lanni
ng
11.a.
1 Pr
opor
tion o
f pop
ulatio
n livi
ng in
cit
ies th
at im
pleme
nt ur
ban a
nd re
giona
l de
velop
ment
plans
integ
ratin
g pop
ulatio
n pr
ojecti
ons a
nd re
sour
ce ne
eds,
by si
ze
of cit
y
3
NEDA
PSA
HLUR
BDI
LG
Targ
et 11
.b: B
y 202
0, su
bsta
ntial
ly in
crea
se th
e num
ber o
f citi
es an
d hu
man
settl
emen
ts ad
optin
g an
d im
plem
entin
g in
tegr
ated
pol
icies
and
plan
s tow
ards
inclu
sion,
reso
urce
effic
iency
, miti
gatio
n an
d ad
apta
tion
to cl
imat
e cha
nge,
resil
ience
to d
isast
ers,
and
deve
lop
and
impl
emen
t, in
line w
ith th
e Sen
dai F
ram
ewor
k for
Disa
ster
Risk
Red
uctio
n 20
15-2
030,
holis
tic d
isast
er ri
sk m
anag
emen
t at a
ll lev
els
11.b.
1 Num
ber o
f cou
ntries
that
adop
t an
d imp
lemen
t nati
onal
disas
ter ris
k re
ducti
on st
rateg
ies in
line w
ith th
e Sen
dai
Fram
ewor
k for
Disa
ster R
isk R
educ
tion
2015
-203
0
N/A
Numb
er of
coun
tries t
hat a
dopt
and
imple
ment
natio
nal d
isaste
r risk
re
ducti
on st
rateg
ies in
line w
ith th
e Se
ndai
Fram
ewor
k for
Disa
ster R
isk
Redu
ction
2015
-203
0
Summ
ation
of th
e num
ber o
f cou
n-trie
s tha
t ado
pt an
d imp
lemen
t nati
on-
al dis
aster
risk r
educ
tion s
trateg
ies
in lin
e with
the S
enda
i Fra
mewo
rk for
Di
saste
r Risk
Red
uctio
n 201
5-20
30
10
0
0
115 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x11
.b.2 P
ropo
rtion o
f loca
l gov
ernm
ents
(unit
s) tha
t ado
pt an
d imp
lemen
t loca
l di-
saste
r risk
redu
ction
stra
tegies
in lin
e with
na
tiona
l disa
ster r
isk re
ducti
on st
rateg
ies
Indic
ator is
also
foun
d in S
DG 1.
5.3 an
d 13
.1.2.
1OC
DDI
LG
Prop
ortio
n of lo
cal g
over
nmen
ts tha
t ad
opt a
nd im
pleme
nt loc
al dis
aster
ris
k red
uctio
n stra
tegies
in lin
e with
na
tiona
l disa
ster r
isk re
ducti
on
strate
gies
Total
numb
er of
loca
l gov
ernm
ents
that a
dopt
and i
mplem
ent lo
cal d
i-sa
ster r
isk re
ducti
on st
rateg
ies in
line
with
natio
nal d
isaste
r risk
redu
ction
str
ategie
s divi
ded b
y the
total
loca
l go
vern
ments
YN
NY
11
1
0An
nual
Targ
et 11
.c: S
uppo
rt lea
st d
evelo
ped
coun
tries
, inclu
ding
thro
ugh
finan
cial a
nd te
chni
cal a
ssist
ance
, in b
uild
ing
sust
ainab
le an
d re
silien
t bui
ldin
gs u
tilizi
ng lo
cal m
ater
ials
11.c.
1 Pr
opor
tion o
f fina
ncial
supp
ort to
the
leas
t dev
elope
d cou
ntries
that
is all
o-ca
ted to
the c
onstr
uctio
n and
retro
fitting
of
susta
inable
, res
ilient
and r
esou
rce-e
ffi-cie
nt bu
ilding
s utili
zing l
ocal
mater
ials
N/A
Goal
12: E
nsur
e sus
tain
able
cons
umpt
ion
and
prod
uctio
n pa
ttern
s
12.1
Impl
emen
t the
10-Y
ear F
ram
ewor
k of P
rogr
amm
es o
n Su
stain
able
Cons
umpt
ion
and
Prod
uctio
n Pa
ttern
s, all
coun
tries
takin
g ac
tion,
with
dev
elope
d co
untri
es ta
king
the l
ead,
takin
g in
to ac
coun
t the
dev
elopm
ent a
nd
capa
bilit
ies o
f dev
elopi
ng co
untri
es12
.1.1 N
umbe
r of c
ountr
ies w
ith
susta
inable
cons
umpti
on an
d pro
ducti
on
(SCP
) nati
onal
actio
n plan
s or S
CP
mains
tream
ed as
a pr
iority
or a
targe
t into
natio
nal p
olicie
s
N/A
Targ
et 12
.2 By
2030
, ach
ieve t
he su
stain
able
man
agem
ent a
nd ef
ficien
t use
of n
atur
al re
sour
ces
12.2.
1 Ma
terial
footp
rint, m
ateria
l footp
rint
per c
apita
, and
mate
rial fo
otprin
t per
GDP
Indic
ator
is a
lso fo
und
in SD
G 8.
4.1
3PS
A
12.2.
2 Dom
estic
mate
rial c
onsu
mptio
n, do
mesti
c mate
rial c
onsu
mptio
n per
capit
a, an
d dom
estic
mate
rial c
onsu
mptio
n per
GD
P
Indic
ator
is a
lso fo
und
in SD
G 8.
4.2.
3PS
A
Targ
et 12
.3 By
2030
, halv
e per
capi
ta g
loba
l foo
d wa
ste a
t the
reta
il and
cons
umer
leve
ls an
d re
duce
food
loss
es al
ong
prod
uctio
n an
d su
pply
chain
s, in
cludi
ng p
ost-h
arve
st lo
sses
12.3.
1 Gl
obal
food l
oss i
ndex
N/A
116 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
12.4:
By 2
020,
achi
eve t
he en
viron
men
tally
soun
d m
anag
emen
t of c
hem
icals
and
all w
aste
s thr
ough
out t
heir
life c
ycle,
in ac
cord
ance
with
agre
ed in
tern
atio
nal f
ram
ewor
ks, a
nd si
gnifi
cant
ly re
duce
their
relea
se to
air,
wate
r an
d so
il in
orde
r to
min
imize
their
adve
rse i
mpa
cts o
n hu
man
hea
lth an
d th
e env
ironm
ent.
12.4.
1 Num
ber o
f par
ties t
o inte
rnati
onal
multil
atera
l env
ironm
ental
agre
emen
ts on
ha
zard
ous w
aste,
and o
ther c
hemi
-ca
ls tha
t mee
t their
comm
itmen
ts an
d ob
ligati
ons i
n tra
nsmi
tting i
nform
ation
as
requ
ired b
y eac
h rele
vant
agre
emen
t
N/A
12.4.
2 Haz
ardo
us w
aste
gene
rated
per
capit
a and
prop
ortio
n of h
azar
dous
was
te tre
ated,
by ty
pe of
trea
tmen
t1
DENR
-EM
B
NN
NN
11
0
N/A
Annu
al
Targ
et 12
.5 By
2030
, sub
stan
tially
redu
ce w
aste
gen
erat
ion
thro
ugh
prev
entio
n, re
duct
ion,
recy
cling
and
reus
e12
.5.1 N
ation
al re
cycli
ng ra
te, to
ns of
ma
terial
recy
cled
N/A
Targ
et 12
.6 En
cour
age c
ompa
nies
, esp
ecial
ly lar
ge an
d tra
nsna
tiona
l com
pani
es, t
o ad
opt s
usta
inab
le pr
actic
es an
d to
inte
grat
e sus
tain
abilit
y inf
orm
atio
n in
to th
eir re
porti
ng cy
cle
12.6.
1 Num
ber o
f com
panie
s pub
lishin
g su
staina
bility
repo
rts3
PEZA
DE
NRTa
rget
12.7
Prom
ote p
ublic
pro
cure
men
t pra
ctice
s tha
t are
sust
ainab
le, in
acco
rdan
ce w
ith n
atio
nal p
olici
es an
d pr
iorit
ies12
.7.1 N
umbe
r of c
ountr
ies im
pleme
nting
su
staina
ble pu
blic p
rocu
reme
nt po
licies
an
d acti
on pl
ans
N/A
Targ
et 12
.8 By
2030
, ens
ure t
hat p
eopl
e eve
rywh
ere h
ave t
he re
levan
t inf
orm
atio
n an
d aw
aren
ess f
or su
stain
able
deve
lopm
ent a
nd lif
esty
les in
har
mon
y with
nat
ure
12.8.
1 Ex
tent to
whic
h (i) g
lobal
citize
n-sh
ip ed
ucati
on an
d (ii)
educ
ation
for s
us-
taina
ble de
velop
ment
(inclu
ding c
limate
ch
ange
educ
ation
) are
main
strea
med i
n (a
) nati
onal
educ
ation
polic
ies; (
b) cu
rric-
ula; (
c) tea
cher
educ
ation
; and
(d) s
tuden
t as
sess
ment
3
Targ
et 12
.a Su
ppor
t dev
elopi
ng co
untri
es to
stre
ngth
en th
eir sc
ientifi
c and
tech
nolo
gica
l cap
acity
to m
ove t
owar
ds m
ore s
usta
inab
le pa
ttern
s of c
onsu
mpt
ion
and
prod
uctio
n12
.a.1
Amou
nt of
supp
ort to
deve
loping
co
untrie
s on r
esea
rch an
d dev
elopm
ent
for su
staina
ble co
nsum
ption
and
N/A
117 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xpr
oduc
tion a
nd en
viron
menta
lly so
und
techn
ologie
sTa
rget
12.b
Dev
elop
and
impl
emen
t too
ls to
mon
itor s
usta
inab
le de
velo
pmen
t im
pact
s for
sust
ainab
le to
urism
that
crea
tes j
obs a
nd p
rom
otes
loca
l cul
ture
and
prod
ucts
12
.b.1 N
umbe
r of s
ustai
nable
tour
ism
strate
gies o
r poli
cies a
nd im
pleme
nted
actio
n plan
s with
agre
ed m
onito
ring a
nd
evalu
ation
tools
3DO
T
Targ
et 12
.c Ra
tiona
lize i
neffi
cient
foss
il-fu
el su
bsid
ies th
at en
cour
age w
aste
ful c
onsu
mpt
ion
by re
mov
ing
mar
ket d
istor
tions
, in ac
cord
ance
with
nat
iona
l circ
umst
ance
s, in
cludi
ng b
y res
truct
urin
g ta
xatio
n an
d ph
asin
g ou
t tho
se
harm
ful s
ubsid
ies, w
here
they
exist
, to
refle
ct th
eir en
viron
men
tal im
pact
s, ta
king
fully
into
acco
unt t
he sp
ecifi
c nee
ds an
d co
nditi
ons o
f dev
elopi
ng co
untri
es an
d m
inim
izing
the p
ossib
le ad
vers
e im
pact
s on
their
dev
elopm
ent i
n a m
anne
r tha
t pro
tect
s the
poo
r and
the a
ffect
ed co
mm
unity
12.c.
1 Am
ount
of fos
sil-fu
el su
bsidi
es pe
r un
it of G
DP (p
rodu
ction
and c
onsu
mptio
n)
and a
s a pr
opor
tion o
f total
natio
nal
expe
nditu
re on
foss
il fue
ls
3
Goal
13: T
ake u
rgen
t act
ion
to co
mba
t clim
ate c
hang
e and
its i
mpa
cts
Targ
et 13
.1: S
treng
then
resil
ience
and
adap
tive c
apac
ity to
clim
ate-
relat
ed h
azar
ds an
d na
tura
l disa
ster
s in
all co
untri
es
13.1.
1 Num
ber o
f dea
ths, m
issing
perso
ns
and d
irectl
y affe
cted p
erso
ns at
tribute
d to
disas
ters p
er 10
0,000
popu
lation
1OC
D
Death
: Che
ck th
e defi
nition
of D
ILG
Miss
ing P
erso
ns: C
heck
the d
efinit
ion
of DI
LG A
ffecte
d: Th
e tota
l num
ber o
f aff
ected
fami
lies f
rom
the af
fected
ba-
rang
ays o
f a m
unici
pality
or ci
ty. T
he
total
numb
er of
affec
ted in
dividu
als
or po
pulac
e (the
fami
ly he
ad an
d its
depe
nden
ts) re
siding
in th
e affe
cted
bara
ngay
s of a
mun
icipa
lity or
city.
Di
splac
ed In
side E
vacu
ation
Cen
ters:
The t
otal n
umbe
r of a
ffecte
d fam
ilies
who t
ook p
re-e
mptiv
e eva
cuati
on pr
ior
to the
onsla
ught
of the
disa
ster, o
r wh
o sou
ght te
mpor
ary r
efuge
due t
o the
disa
ster, i
n an e
vacu
ation
cente
r. Th
e tota
l num
ber o
f affe
cted i
ndivi
du-
als or
popu
lace (
the fa
mily
head
and
its de
pend
ents)
who
took
pre-
empti
ve
evac
uatio
n prio
r to t
he on
slaug
ht
Affec
ted pe
rsons
: The
summ
ation
of
all af
fected
perso
ns ba
sed o
n the
re
port
subm
itted b
y the
LGUs
thro
ugh
Loca
l Soc
ial W
elfar
e Dev
elopm
ent
Offic
es (L
SWDO
s)
NN
NN
11
11
1An
nual
118 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xof
the di
saste
r; or
who
soug
ht tem
pora
ry re
fuge d
ue to
the d
isaste
r, in
an ev
acua
tion c
enter
. Disp
laced
Ou
tside
Eva
cuati
on C
enter
s: Th
e tot
al nu
mber
of af
fected
fami
lies w
ho
took p
re-e
mtive
evac
uatio
n prio
r to
the on
slaug
ht of
the di
saste
r; or
who
so
ught
tempo
rary
refug
e due
to th
e dis
aster
, eith
er to
their
relat
ives’
or
friend
s’ ho
use.
The t
otal n
umbe
r of
affec
ted in
dividu
als or
popu
lace (
the
family
head
and i
ts de
pend
ents)
who
too
k pre
-emt
ive ev
acua
tion p
rior t
o the
onsla
ught
of the
disa
ster;
or w
ho
soug
ht tem
pora
ry re
fuge d
ue to
the
disas
ter ei
ther t
o the
ir rela
tives
’ or
friend
’s ho
use.
13.1.
2 Num
ber o
f cou
ntries
that
adop
t and
im
pleme
nt na
tiona
l disa
ster r
isk re
ducti
on
strate
gies i
n line
with
the S
enda
i Fra
me-
work
for D
isaste
r Risk
Red
uctio
n 20
15-2
030
N/A
DSW
D
Numb
er of
coun
tries t
hat a
dopt
and
imple
ment
natio
nal d
isaste
r risk
re
ducti
on st
rateg
ies in
line w
ith th
e Se
ndai
Fram
ewor
k for
Disa
ster R
isk
Redu
ction
2015
-203
0
Summ
ation
of th
e num
ber o
f cou
n-trie
s tha
t ado
pt an
d imp
lemen
t nati
on-
al dis
aster
risk r
educ
tion s
trateg
ies
in lin
e with
the S
enda
i Fra
mewo
rk for
Di
saste
r Risk
Red
uctio
n 201
5-20
30
10
0
0
13.1.
3 Pro
porti
on o
f loc
al go
vern
men
ts
that
adop
t and
impl
emen
t loc
al di
sast
er
risk r
educ
tion
stra
tegi
es in
line w
ith
natio
nal d
isast
er ri
sk re
duct
ion
stra
tegi
es
1OC
D
Prop
ortio
n of lo
cal g
over
nmen
ts tha
t ad
opt a
nd im
pleme
nt loc
al dis
aster
ris
k red
uctio
n stra
tegies
in lin
e with
na
tiona
l disa
ster r
isk re
ducti
on
strate
gies
Total
numb
er of
loca
l gov
ernm
ents
that a
dopt
and i
mplem
ent lo
cal d
i-sa
ster r
isk re
ducti
on st
rateg
ies in
line
with
natio
nal d
isaste
r risk
redu
ction
str
ategie
s divi
ded b
y the
total
loca
l go
vern
ments
YN
NY
11
1
0An
nual
Targ
et 13
.2: In
tegr
ate c
limat
e cha
nge m
easu
res i
nto
natio
nal p
olici
es, s
trate
gies
and
plan
ning
13.2.
1 Num
ber o
f cou
ntries
that
have
co
mmun
icated
the e
stabli
shme
nt or
op
erati
onali
zatio
n of a
n inte
grate
d poli
cy/
strate
gy/pl
an w
hich i
ncre
ases
their
abilit
y to
adap
t to th
e adv
erse
impa
cts of
clim
ate
chan
ge, a
nd fo
ster c
limate
resil
ience
an
d low
gree
nhou
se ga
s emi
ssion
s de
velop
ment
in a m
anne
r
N/A
Exec
utive
Ord
er 17
4- P
hilipp
ine
Gree
nhou
se G
as In
vento
ry Ma
n-ag
emen
t and
Rep
ortin
g Sys
tem
(PGH
GIMR
S); G
uidan
ce D
ocum
ent-
is en
vision
ed to
prov
ide th
e gen
eral
frame
work
of the
PGH
GIMR
S. T
he
rules
and p
roce
dure
s outl
ined i
n the
va
rious
chap
ters o
f the G
uidan
ce
10
0
N/A
119 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xtha
t doe
s not
threa
ten fo
od pr
oduc
tion
(inclu
ding a
natio
nal a
dapta
tion p
lan, n
a-tio
nally
deter
mine
d con
tributi
on, n
ation
al co
mmun
icatio
n, bie
nnial
upda
te re
port
or ot
her)
Docu
ment
serve
s as t
he im
pleme
nting
ru
les an
d reg
ulatio
ns fo
r the
cond
uct,
imple
menta
tion,
docu
menta
tion,
repo
rting a
nd ar
chivi
ng of
data
in PG
HGIM
RS.
Targ
et 13
.3 Im
prov
e edu
catio
n, aw
aren
ess-
raisi
ng an
d hu
man
and
inst
itutio
nal c
apac
ity o
n cli
mat
e cha
nge m
itiga
tion,
adap
tatio
n, im
pact
redu
ctio
n an
d ea
rly w
arni
ng13
.3.1
Numb
er of
coun
tries t
hat h
ave
integ
rated
mitig
ation
, ada
ptatio
n, im
pact
redu
ction
and e
arly
warn
ing in
to pr
imar
y, se
cond
ary a
nd te
rtiary
curri
cula
N/A
13.3.
2 Nu
mber
of co
untrie
s tha
t hav
e co
mmun
icated
the s
treng
thenin
g of
institu
tiona
l, sys
temic
and i
ndivi
dual
capa
city-b
uildin
g to i
mplem
ent a
dapta
tion,
mitig
ation
and t
echn
ology
tran
sfer, a
nd
deve
lopme
nt ac
tions
N/A
Targ
et 13
.a Im
plem
ent t
he co
mm
itmen
t und
erta
ken
by d
evelo
ped-
coun
try p
artie
s to
the U
nite
d Na
tions
Fra
mew
ork C
onve
ntio
n on
Clim
ate C
hang
e to
a goa
l of m
obiliz
ing
join
tly $1
00 b
illion
annu
ally b
y 202
0 fro
m al
l sou
rces
to
addr
ess t
he n
eeds
of d
evelo
ping
coun
tries
in th
e con
text
of m
eani
ngfu
l miti
gatio
n ac
tions
and
trans
pare
ncy o
n im
plem
enta
tion
and
fully
ope
ratio
naliz
e the
Gre
en C
limat
e Fun
d th
roug
h its
capi
taliz
atio
n as
soon
as p
ossib
le13
.a.1
Mobil
ized a
moun
t of U
nited
St
ates d
ollar
s per
year
star
ting i
n 202
0 ac
coun
table
towar
ds th
e $10
0 billi
on
comm
itmen
t In
dicat
or is
also
foun
d in
SDG
7.a.
1.
N/A
Targ
et 13
.b: P
rom
ote m
echa
nism
s for
raisi
ng ca
pacit
y for
effe
ctive
clim
ate c
hang
e-re
lated
plan
ning
and
man
agem
ent i
n lea
st d
evelo
ped
coun
tries
and
small
islan
d de
velo
ping
Sta
tes,
inclu
ding
focu
sing
on w
omen
, you
th an
d lo
cal
and
mar
gina
lized
com
mun
ities
13.b.
1 Nu
mber
of le
ast d
evelo
ped
coun
tries a
nd sm
all is
land d
evelo
ping
State
s tha
t are
rece
iving
spec
ialize
d su
ppor
t, and
amou
nt of
supp
ort, i
nclud
ing
finan
ce, te
chno
logy a
nd ca
pacit
y-buil
ding,
for m
echa
nisms
for r
aising
capa
cities
for
effec
tive c
limate
chan
ge-re
lated
plan
ning
and m
anag
emen
t, inc
luding
focu
sing o
n wo
men,
youth
and l
ocal
and m
argin
alize
d co
mmun
ities
N/A
120 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xGo
al 14
: Con
serv
e and
sust
ainab
le us
e the
oce
ans,
seas
and
mar
ine r
esou
rces
for s
usta
inab
le de
velo
pmen
t Ta
rget
14.1:
By 2
025,
prev
ent a
nd si
gnifi
cant
ly re
duce
mar
ine p
ollu
tion
of al
l kin
ds, in
par
ticul
ar fr
om la
nd-b
ased
activ
ities
, inclu
ding
mar
ine d
ebris
and
nutri
ent p
ollu
tion
14.1.
1 Ind
ex of
coas
tal eu
troph
icatio
n and
flo
ating
plas
tic de
bris
dens
ityN/
A
Targ
et 14
.2: B
y 202
0, su
stain
ably
man
age a
nd p
rote
ct m
arin
e and
coas
tal e
cosy
stem
s to
avoi
d sig
nific
ant a
dver
se im
pact
s, in
cludi
ng b
y stre
ngth
enin
g th
eir re
silien
ce, a
nd ta
ke ac
tion
for t
heir
rest
orat
ion
in o
rder
to ac
hiev
e hea
lthy
and
prod
uctiv
e oce
ans
14.2.
1 Pr
opor
tion o
f nati
onal
exclu
sive
econ
omic
zone
s man
aged
using
ec
osys
tem-b
ased
appr
oach
esN/
A
Targ
et 14
.3: M
inim
ize an
d ad
dres
s the
impa
cts o
f oce
an ac
idifi
catio
n, in
cludi
ng th
roug
h en
hanc
ed sc
ientifi
c coo
pera
tion
at al
l leve
ls14
.3.1
Aver
age m
arine
acidi
ty (p
H) m
easu
red a
t agr
eed s
uite o
f re
pres
entat
ive sa
mplin
g stat
ions
N/A
Targ
et 14
.4: B
y 202
0, ef
fect
ively
regu
late h
arve
stin
g an
d en
d ov
erfis
hing
, illeg
al, u
nrep
orte
d an
d un
regu
lated
fish
ing
and
dest
ruct
ive fi
shin
g pr
actic
es an
d im
plem
ent s
cienc
e-ba
sed
man
agem
ent p
lans,
in o
rder
to re
stor
e fish
st
ocks
in th
e sho
rtest
tim
e fea
sible,
at le
ast t
o lev
els th
at ca
n pr
oduc
e max
imum
sust
ainab
le yie
ld as
det
erm
ined
by t
heir
biol
ogica
l cha
ract
erist
ics14
.4.1
Prop
ortio
n of fi
sh st
ocks
with
in bio
logica
lly su
staina
ble le
vels
N/A
Targ
et 14
.5: B
y 202
0, co
nser
ve at
leas
t 10 p
er ce
nt o
f coa
stal
and
mar
ine a
reas
, con
siste
nt w
ith n
atio
nal a
nd in
tern
atio
nal la
w an
d ba
sed
on th
e bes
t ava
ilabl
e scie
ntifi
c inf
orm
atio
n
14.5.
1 Cov
erag
e of p
rotec
ted ar
eas i
n re
lation
to m
arine
area
sN/
A
a.) M
arine
Pro
tected
Are
a (MP
A) -
a de
fined
area
of th
e sea
estab
lishe
d an
d set
aside
by la
w, ad
minis
trativ
e re
gulat
ion, o
r any
othe
r effe
ctive
me
ans i
n ord
er to
cons
erve
and
prote
ct pa
rt of
or th
e enti
re en
close
d en
viron
ment
throu
gh th
e esta
blish
-me
nt of
mana
geme
nt gu
idelin
es.
It is c
onsid
ered
a ge
neric
term
that
includ
es al
l dec
lared
area
s gov
erne
d by
spec
ific ru
les or
guide
lines
in or
der
to pr
otect
and m
anag
e acti
vities
with
in the
enclo
sed a
rea.
(CME
MP D
AO
2016
-26)
b.) M
arine
Key
Biod
iversi
ty Ar
ea (M
KBA)
- a n
ation
ally i
denti
fied
marin
e site
of gl
obal
signifi
canc
e to
biodiv
ersit
y. (C
MEMP
DAO
2016
-26)
% of
the t
otal m
arine
prote
cted a
reas
as
comp
ared
to th
e tota
l mar
ine ar
ea.
10
0
N/A
121 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x14
.6 By
2020
, pro
hibi
t cer
tain
form
s of fi
sher
ies su
bsid
ies w
hich
cont
ribut
e to
over
capa
city a
nd o
verfi
shin
g, el
imin
ate s
ubsid
ies th
at co
ntrib
ute t
o ille
gal, u
nrep
orte
d an
d un
regu
lated
fish
ing
and
refra
in fr
om in
trodu
cing
new
such
su
bsid
ies, r
ecog
nizin
g th
at ap
prop
riate
and
effe
ctive
spec
ial an
d di
ffere
ntial
trea
tmen
t for
dev
elopi
ng an
d lea
st d
evelo
ped
coun
tries
shou
ld b
e an
inte
gral
part
of th
e Wor
ld Tr
ade O
rgan
izatio
n fis
herie
s sub
sidies
neg
otiat
ion
14.6.
1 Pro
gres
s by c
ountr
ies in
the
degr
ee of
imple
menta
tion o
f inter
natio
nal
instru
ments
aimi
ng to
comb
at ille
gal,
unre
porte
d and
unre
gulat
ed fis
hing
N/A
Targ
et 14
.7:By
2030
, incr
ease
the e
cono
mic
bene
fits t
o Sm
all Is
land
deve
lopi
ng S
tate
s and
leas
t dev
elope
d co
untri
es fr
om th
e sus
tain
able
use o
f mar
ine r
esou
rces
, inclu
ding
thro
ugh
sust
ainab
le m
anag
emen
t of fi
sher
ies,
aqua
cultu
re an
d to
urism
14.7.
1 Su
staina
ble fis
herie
s as a
pe
rcenta
ge of
GDP
in sm
all is
land
deve
loping
Stat
es, le
ast d
evelo
ped
coun
tries a
nd al
l cou
ntries
N/A
Targ
et 14
.a In
crea
se sc
ientifi
c kno
wled
ge, d
evelo
p re
sear
ch ca
pacit
y and
tran
sfer
mar
ine t
echn
olog
y, ta
king
into
acco
unt t
he In
terg
over
nmen
tal O
cean
ogra
phic
Com
miss
ion
Crite
ria an
d Gu
ideli
nes o
n th
e Tra
nsfe
r of M
arin
e Te
chno
logy
, in o
rder
to im
prov
e oce
an h
ealth
and
to en
hanc
e the
cont
ribut
ion
of m
arin
e bio
dive
rsity
to th
e dev
elopm
ent o
f dev
elopi
ng co
untri
es, in
par
ticul
ar sm
all is
land
deve
lopi
ng S
tate
s and
leas
t dev
elope
d co
untri
es14
.a.1
Prop
ortio
n of to
tal re
sear
ch bu
dget
alloc
ated t
o res
earch
in th
e field
of m
arine
tec
hnolo
gyN/
A
Targ
et 14
.b: P
rovid
e acc
ess f
or sm
all-s
cale
artis
anal
fishe
rs to
mar
ine r
esou
rces
and
mar
kets
14.b.
1 Pro
gres
s by c
ountr
ies in
the d
egre
e of
appli
catio
n of a
lega
l/regu
lator
y/poli
cy/
institu
tiona
l fram
ewor
k whic
h rec
ogniz
es
and p
rotec
ts ac
cess
rights
for s
mall-s
cale
fishe
ries
N/A
Targ
et 14
.c: E
nhan
ce th
e con
serv
atio
n an
d su
stain
able
use o
f oce
ans a
nd th
eir re
sour
ces b
y im
plem
entin
g in
tern
atio
nal la
w as
refle
cted
in U
NCLO
S, w
hich
pro
vides
the l
egal
fram
ewor
k for
the c
onse
rvat
ion
and
sust
ainab
le us
e of
ocea
ns an
d th
eir re
sour
ces,
as re
calle
d in
par
agra
ph 15
8 of T
he F
utur
e We W
ant
14.c.
1 Num
ber o
f cou
ntries
mak
ing
prog
ress
in ra
tifying
, acc
eptin
g and
im
pleme
nting
thro
ugh l
egal,
polic
y and
ins
titutio
nal fr
amew
orks
, oce
an-re
lated
ins
trume
nts th
at im
pleme
nt int
erna
tiona
l law
, as r
eflec
ted in
the U
nited
Nati
on
Conv
entio
n on t
he La
w of
the S
ea, fo
r the
co
nser
vatio
n and
susta
inable
use o
f the
ocea
ns an
d the
ir res
ource
s
N/A
122 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xGo
al 15
: Pro
tect
, res
tore
and
prom
ote s
usta
inab
le us
e of t
erre
stria
l eco
syst
ems,
sust
ainab
ly m
anag
e for
ests
, com
bat d
eser
tifica
tion,
and
halt
and
reve
rse l
and
degr
adat
ion
and
halt
biod
ivers
ity lo
ss
Targ
et 15
.1: B
y 202
0, en
sure
the c
onse
rvat
ion,
rest
orat
ion
and
sust
ainab
le us
e of t
erre
stria
l and
inlan
d fre
shwa
ter e
cosy
stem
s and
their
serv
ices,
in p
artic
ular
fore
sts,
wetla
nds,
mou
ntain
s and
dry
lands
, in lin
e with
obl
igat
ions
un
der i
nter
natio
nal a
gree
men
ts
15.1.
1 For
est a
rea a
s a pr
opor
tion o
f total
lan
d are
a1
NAMR
IA
FMB
Refer
s to l
and w
ith an
area
of m
ore
than 0
.5 he
ctare
and t
ree c
rown
cove
r (o
r equ
ivalen
t stoc
king l
evel)
of m
ore
than 1
0 per
cent.
The
tree
s sho
uld be
ab
le to
reac
h a m
inimu
m he
ight o
f 5
meter
s at m
aturity
in si
tu. It
cons
ists
eithe
r of c
losed
fore
st for
matio
ns
wher
e tre
es of
vario
us st
orey
s and
un-
derg
rowt
h cov
er a
high p
ropo
rtion o
f the
grou
nd or
open
fore
st for
matio
ns
with
a con
tinuo
us ve
getat
ion co
ver in
wh
ich tr
ee cr
own c
over
exce
eds 1
0 pe
rcent.
Youn
g natu
ral s
tands
and a
ll pla
ntatio
ns es
tablis
hed f
or fo
restr
y pu
rpos
es, w
hich h
ave y
et to
reac
h a
crown
dens
ity of
mor
e tha
n 10 p
erce
nt or
tree
heigh
t of 5
mete
rs ar
e inc
luded
un
der f
ores
t.
Thes
e are
norm
ally f
ormi
ng pa
rt of
the fo
rest
area
, whic
h are
temp
orar
-ily
unsto
cked
as a
resu
lt of h
uman
int
erve
ntion
or na
tural
caus
es bu
t wh
ich ar
e exp
ected
to re
vert
to for
est.
It inc
ludes
fore
st nu
rserie
s and
seed
or
char
ds th
at co
nstitu
te an
integ
ral
part
of the
fore
st; fo
rest
road
s, cle
ared
tra
cts, fi
rebr
eaks
and o
ther s
mall o
pen
area
s; for
est w
ithin
prote
cted a
reas
; wi
ndbr
eaks
and s
helte
r belt
s of tr
ees
with
an ar
ea of
mor
e tha
n 0.5
hecta
re
and w
idth o
f mor
e tha
n 20 m
eter;
planta
tions
prim
arily
used
for f
ores
try
purp
oses
, inclu
ding r
ubbe
r woo
d pla
ntatio
ns. .
fores
t cov
er/to
tal la
nd ar
eaY
YY
N1
11
N/
A
123 | Page
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Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x
15.1.
1 For
est a
rea a
s a pr
opor
tion o
f total
lan
d are
a1
NAMR
IA
FMB
It also
inclu
des b
ambo
o, pa
lm an
d fer
n for
matio
ns (e
xcep
t coc
onut
and
oil pa
lm).
fores
t cov
er/to
tal la
nd ar
eaY
YY
N1
11
N/
A
15.1.
2 Pro
portio
n of im
porta
nt sit
es fo
r ter
restr
ial an
d fre
shwa
ter bi
odive
rsity
that a
re co
vere
d by p
rotec
ted ar
eas,
by
ecos
ystem
type
1DE
NR-
BMB
Prote
cted a
reas
- refe
rs to
identi
fied
portio
ns of
land
and w
ater s
et as
ide
by re
ason
of th
eir un
ique p
hysic
al an
d biol
ogica
l sign
ifican
ce, m
anag
ed
to en
hanc
e biol
ogica
l dive
rsity
and
prote
cted a
gains
t des
tructi
ve hu
man
explo
itatio
n.; N
ation
al Int
egra
ted P
ro-
tected
Are
as S
ystem
(NIP
AS)-r
efers
to the
clas
sifica
tion a
nd ad
minis
tratio
n of
all de
signa
ted pr
otecte
d are
as to
ma
intain
esse
ntial
ecolo
gical
pro-
cess
es an
d life
-supp
ort s
ystem
s, to
pres
erve
gene
tic di
versi
ty, to
ensu
re
susta
inable
use o
f res
ource
s fou
nd
there
in, an
d to m
aintai
n the
ir natu
ral
cond
itions
to th
e gre
atest
exten
t po
ssibl
e.
Calcu
lated
from
data
deriv
ed fr
om
spati
al ov
erlap
betw
een p
olygo
ns of
Ke
y Biod
iversi
ty Ar
eas (
KBA’s
) and
toa
l land
area
(NIP
AS)
YY
NN
11
1
N/A
Targ
et 15
.2: B
y 202
0, pr
omot
e the
impl
emen
tatio
n of
sust
ainab
le m
anag
emen
t of a
ll typ
es o
f for
ests
, halt
def
ores
tatio
n, re
stor
e deg
rade
d fo
rest
s and
subs
tant
ially
incr
ease
affo
rest
atio
n an
d re
fore
stat
ion
glob
ally
15.2.
1 Pro
gres
s tow
ards
susta
inable
for
est m
anag
emen
t1
DENR
-FM
B
Susta
inable
For
est M
anag
emen
t is
the pr
oces
s of m
anag
ing a
fores
t to
achie
ve on
e or m
ore c
learly
spec
ified
objec
tive o
f man
agem
ent w
ith re
gard
to
prod
uctio
n of a
conti
nuou
s flow
of
desir
ed fo
rest
prod
ucts
and s
ervic
es
witho
ut un
due r
educ
tion o
f its i
nher
ent
value
s and
futur
e pro
ducti
vity a
nd
witho
ut un
desir
able
effec
ts on
the
phys
ical a
nd so
cial e
nviro
nmen
t. (IT
TO)
Summ
ation
of th
e tota
l are
a with
in for
estla
nd su
bjecte
d to t
enur
ial in
stru-
ments
and a
ppro
priat
e man
agem
ent
arra
ngem
ent.
NN
NN
11
1
N/A
Targ
et 15
.3: B
y 203
0, co
mba
t des
ertifi
catio
n, re
stor
e deg
rade
d lan
d an
d so
il, in
cludi
ng la
nd af
fect
ed b
y des
ertifi
catio
n, d
roug
ht an
d flo
ods,
and
striv
e to
achi
eve a
land
deg
rada
tion-
neut
ral w
orld
15.3.
1 Pr
opor
tion o
f land
that
is de
grad
ed
over
total
land
area
2DE
NR-
FMB
124 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x
15.3.
1.p1 F
ores
t Cov
er C
hang
e ( fr
om
close
to op
en fo
rest)
1DE
NR-
FMB
Fore
st De
grad
ation
– ch
ange
s wi
thin t
he fo
rest
wheth
er na
tural
or
huma
n-ind
uced
whic
h neg
ative
ly aff
ect th
e stru
cture
or fu
nctio
n of
the st
and o
r site
, and
ther
eby l
ower
the
capa
city t
o sup
ply pr
oduc
ts an
d/or
servi
ces r
esult
ing to
a de
grad
ed
fores
t. (DE
NR)
Fore
st co
ver c
hang
e fro
m clo
sed
fores
t to op
en fo
rest,
open
fore
st to
non-
fores
t, clos
ed fo
rest
to no
n-for
est, a
nd m
angr
ove f
ores
t to
non-
fores
t.
YN
YN
11
1
N/A
Targ
et 15
.4: B
y 203
0, en
sure
the c
onse
rvat
ion
of m
ount
ain ec
osys
tem
s, in
cludi
ng th
eir b
iodi
vers
ity, in
ord
er to
enha
nce t
heir
capa
city t
o pr
ovid
e ben
efits
that
are e
ssen
tial f
or su
stain
able
deve
lopm
ent
15.4.
1 Co
vera
ge by
prote
cted a
reas
of
impo
rtant
sites
for m
ounta
in bio
diver
sity
2DE
NR-
FMB
15.4.
2 Mo
untai
n Gre
en C
over
Inde
x (m
ounta
in gr
een d
efinit
ion no
t app
licab
le in
the P
hil)
N/A
Targ
et 15
.5: Ta
ke u
rgen
t and
sign
ifica
nt ac
tion
to re
duce
the d
egra
datio
n of
nat
ural
habi
tats
, halt
the l
oss o
f bio
dive
rsity
and,
by 2
020,
prot
ect a
nd p
reve
nt th
e ext
inct
ion
of th
reat
ened
spec
ies
15.5.
1 Red
List
Index
3
Thre
atene
d spe
cies-
is a g
ener
al Te
rm us
ed to
deno
te sp
ecies
or
subs
pecie
s con
sider
ed as
critic
ally
enda
nger
ed, e
ndan
gere
d, vu
lnera
-ble
, or o
ther a
ccep
ted ca
tegor
ies of
wi
ldlife
who
se po
pulat
ion is
at ris
k of
extin
ction
.; CIT
ES- is
an in
terna
tion-
al tre
aty ra
tified
by th
e Phil
ippine
Go
vern
ment
to re
gulat
e, co
ntrol
and
proh
ibit th
e tra
de of
wild
life.
* F
ollow
s the
Glob
al Re
d List
Inde
x Me
asur
es. F
inaliz
ation
of P
hilipp
ine
Red L
ist bo
th for
Fau
na an
d Flor
a ar
e cur
rentl
y on-
going
(as p
er P
ola
of W
RD).
10
0
N/A
Targ
et 15
.6: P
rom
ote f
air an
d eq
uita
ble s
harin
g of
the b
enefi
ts ar
ising
from
the u
tiliza
tion
of g
enet
ic re
sour
ces a
nd p
rom
ote a
ppro
priat
e acc
ess t
o su
ch re
sour
ces,
as in
tern
atio
nally
agre
ed
15.6.
1 Num
ber o
f cou
ntries
that
have
ad
opted
legis
lative
, adm
inistr
ative
and
polic
y fra
mewo
rks to
ensu
re fa
ir and
eq
uitab
le sh
aring
of be
nefits
N/A
1N/
AN/
A
N/A
125 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
15.7:
Take
urg
ent a
ctio
n to
end
poac
hing
and
traffi
ckin
g of
pro
tect
ed sp
ecies
of fl
ora a
nd fa
una a
nd ad
dres
s bot
h de
man
d an
d su
pply
of ill
egal
wild
life p
rodu
cts
15.7.
1 Pro
portio
n of tr
aded
wild
life th
at wa
s poa
ched
or ill
icitly
traffi
cked
In
dicat
or is
also
foun
d in
SDG
15.c.
1.
3DE
NR1
00
N/
A
Targ
et 15
.8 By
2020
, intro
duce
mea
sure
s to
prev
ent t
he in
trodu
ctio
n an
d sig
nific
antly
redu
ce th
e im
pact
of i
nvas
ive al
ien sp
ecies
on
land
and
wate
r eco
syst
ems a
nd co
ntro
l or e
radi
cate
the p
riorit
y spe
cies
15.8.
1 Pro
portio
n of c
ountr
ies ad
optin
g re
levan
t nati
onal
legisl
ation
and
adeq
uatel
y res
ourci
ng th
e pre
venti
on or
co
ntrol
of inv
asive
alien
spec
ies
N/A
Targ
et 15
.9: B
y 202
0, in
tegr
ate e
cosy
stem
and
biod
ivers
ity va
lues
into
nat
iona
l and
loca
l plan
ning
, dev
elopm
ent p
roce
sses
, pov
erty
redu
ctio
n st
rate
gies
and
acco
unts
15.9.
1 Pro
gres
s tow
ards
natio
nal ta
rgets
es
tablis
hed i
n acc
orda
nce w
ith A
ichi
Biod
iversi
ty Ta
rget
2 of th
e Stra
tegic
Plan
for
Biod
iversi
ty 20
11-2
020
N/A
Biod
iversi
ty va
lues h
ave b
een i
nte-
grate
d into
natio
nal a
nd lo
cal d
evelo
p-me
nt an
d pov
erty
redu
ction
stra
tegies
an
d plan
ning p
roce
sses
and a
re be
ing
incor
pora
ted in
to na
tiona
l acc
ounti
ng,
as ap
prop
riate,
and r
epor
ting s
ystem
s (P
BSAP
)
Integ
ratio
n of b
iodive
rsity
could
be
unde
rtake
n in a
step
wise
or
incre
menta
l man
ner b
y first
inclu
ding
those
value
s of b
iodive
rsity
which
ar
e eas
iest to
acco
unt fo
r and
then
fur
ther d
evelo
ping o
r enh
ancin
g sy
stems
for in
tegra
ting b
iodive
rsity
value
s into
decis
ion m
aking
proc
ess.
10
0
N/a
Targ
et 15
.a: M
obiliz
e and
sign
ifica
ntly
incr
ease
fina
ncial
reso
urce
s fro
m al
l sou
rces
to co
nser
ve an
d su
stain
ably
use b
iodi
vers
ity an
d ec
osys
tem
s
15.a.
1 Offic
ial de
velop
ment
assis
tance
an
d pub
lic ex
pend
iture
on co
nser
vatio
n an
d sus
taina
ble us
e of b
iodive
rsity
and
ecos
ystem
s In
dicat
or is
also
foun
d in
SDG
15.b
.1
N/A
1N/
AN/
A
N/A
Targ
et 15
.b: M
obiliz
e sig
nific
ant r
esou
rces
from
all s
ourc
es an
d at
all le
vels
to fi
nanc
e sus
tain
able
fore
st m
anag
emen
t and
pro
vide a
dequ
ate i
ncen
tives
to d
evelo
ping
coun
tries
to ad
vanc
e suc
h m
anag
emen
t, in
cludi
ng fo
r co
nser
vatio
n an
d re
fore
stat
ion
15.b.
1 Offic
ial de
velop
ment
assis
tance
an
d pub
lic ex
pend
iture
on co
nser
vatio
n an
d sus
taina
ble us
e of b
iodive
rsity
and
ecos
ystem
s (sa
me w
ith 15
.a.1)
N/A
Targ
et 15
.c: E
nhan
ce g
loba
l sup
port
for e
fforts
to co
mba
t poa
chin
g an
d tra
ffick
ing
of p
rote
cted
spec
ies, in
cludi
ng b
y inc
reas
ing
the c
apac
ity o
f loc
al co
mm
uniti
es to
pur
sue s
usta
inab
le liv
eliho
od o
ppor
tuni
ties
126 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x15
.c.1 P
ropo
rtion o
f trad
ed w
ildlife
that
was p
oach
ed or
illici
tly tr
affick
ed In
dica
tor i
s al
so fo
und
in S
DG
15
.7.1
.
3
Goal
16: P
rom
ote p
eace
ful a
nd in
clusiv
e soc
ieties
for s
usta
inab
le de
velo
pmen
t, pr
ovid
e acc
ess t
o ju
stice
for a
ll, an
d bu
ild ef
fect
ive, a
ccou
ntab
le an
d in
clusiv
e ins
titut
ions
at al
l leve
lsTa
rget
16.1:
Sig
nific
antly
redu
ce al
l for
ms o
f vio
lence
and
relat
ed d
eath
rate
s eve
rywh
ere
16.1.
1 Num
ber o
f vict
ims o
f inten
tiona
l ho
micid
e per
100,0
00 po
pulat
ion by
sex
and b
y age
1PR
O-CO
R
Murd
er (I
ntenti
onal
homi
cide)
is the
ac
t of ta
king o
ne’s
life w
ith at
tenda
nt cir
cums
tance
s as d
escri
bed i
n Artic
le 24
8 of th
e Rev
ised P
enal
Code
of
the P
hilipp
ines (
i.e., w
ith ev
ident
prem
edita
tion,
treac
hery,
by m
eans
of
fire, p
oison
, exp
losion
or an
y oth
er m
ethod
invo
lving
grea
t was
te or
ru
in, w
ith cr
uelty
by de
liber
ately
and
inhum
anly
augm
entin
g the
suffe
ring
of the
victi
m, an
d in c
onsid
erati
on of
a pr
ice, r
ewar
d, pr
omise
or ot
her b
ase
motiv
es).
The t
otal n
umbe
r of v
ictim
s of m
urde
r (in
tentio
nal h
omici
de) r
epor
ted in
a giv
en pe
riod o
f time
divid
ed by
the
total
resid
ent p
opula
tion i
n the
same
pe
riod o
f time
, mult
iplied
by 10
0,000
.
YN
NN
11
11
1Qu
arter
ly
16.1.
s1 N
umbe
r of m
urde
r cas
es1
PRO-
COR
Y
YN
N1
11
11
16.1.
s2 M
onthl
y ave
rage
inde
x crim
e rate
1PR
O-CO
RY
YY
N
00
16.1.
2 Con
flict-r
elated
death
s per
100,0
00
popu
lation
, by s
ex, a
ge an
d cau
se3
PRO-
COR
16.1.
3 Pro
portio
n of p
opula
tion s
ubjec
ted
to ph
ysica
l, psy
cholo
gical
or se
xual
violen
ce in
the p
revio
us 12
mon
ths
2PR
O-CO
R
16.1.
4 Pro
portio
n of p
opula
tion t
hat fe
el sa
fe wa
lking
alon
e aro
und t
he ar
ea th
ey
live
2PR
O-CO
R
Targ
et 16
.2: E
nd ab
use,
expl
oita
tion,
traf
fickin
g an
d all
form
s of v
iolen
ce an
d to
rture
again
st ch
ildre
n
16.2.
1 Pr
opor
tion o
f chil
dren
aged
1-17
ye
ars w
ho ex
perie
nced
any p
hysic
al2
PRO-
COR
127 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xpu
nishm
ent a
nd/or
psyc
holog
ical
aggr
essio
n by c
areg
ivers
in the
past
month
16
.2.2
Numb
er of
victi
ms of
huma
n tra
ffickin
g per
100,0
00 po
pulat
ion, b
y sex
, ag
e and
form
of ex
ploita
tion
2PR
O-CO
R
16.2.
3 Pro
portio
n of y
oung
wom
en an
d me
n age
d 18 2
9 yea
rs wh
o exp
erien
ced
sexu
al vio
lence
by ag
e 18
2PR
O-CO
R
Targ
et 16
.3: P
rom
ote t
he ru
le of
law
at th
e nat
iona
l and
inte
rnat
iona
l leve
ls, an
d en
sure
equa
l acc
ess t
o ju
stice
for a
ll
16.3.
1 Pr
opor
tion o
f vict
ims o
f viol
ence
in
the pr
eviou
s 12 m
onths
who
repo
rted
their v
ictim
izatio
n to c
ompe
tent a
uthor
ities
or ot
her o
fficial
ly re
cogn
ized c
onflic
t re
solut
ion m
echa
nisms
2PR
O-CO
R
16.3.
2 Uns
enten
ced d
etaine
es as
a pr
opor
tion o
f ove
rall p
rison
popu
lation
2
PRO-
COR
Targ
et 16
.4 By
2030
, sig
nific
antly
redu
ce ill
icit fi
nanc
ial an
d ar
ms fl
ows,
stre
ngth
en th
e rec
over
y and
retu
rn o
f sto
len as
sets
and
com
bat a
ll for
ms o
f org
anize
d cr
ime
16.4.
1 Tota
l valu
e of in
ward
and o
utwar
d illi
cit fin
ancia
l flow
s (in
curre
nt Un
ited
State
s doll
ars)
3PR
O-CO
R
16.4.
2 Pr
opor
tion o
f seiz
ed, fo
und o
r su
rrend
ered
arms
who
se ill
icit o
rigin
or
conte
xt ha
s bee
n tra
ced o
r esta
blish
ed
by a
comp
etent
autho
rity in
line w
ith
inter
natio
nal in
strum
ents
2PR
O-CO
R
Targ
et 16
.5: S
ubst
antia
lly re
duce
corru
ptio
n an
d br
iber
y in
all th
eir fo
rms
16.5.
1 Pro
portio
n of p
erso
ns w
ho ha
d at
least
one c
ontac
t with
a pu
blic o
fficial
an
d who
paid
a brib
e to a
publi
c offic
ial,
or w
ere a
sked
for a
bribe
by th
ose p
ublic
offi
cials
durin
g the
prev
ious 1
2 mon
ths
1CS
C/PS
A
NN
NN
11
0
1
128 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x16
.5.2 P
ropo
rtion o
f bus
iness
es th
at ha
d at
least
one c
ontac
t with
a pu
blic o
fficial
an
d tha
t paid
a br
ibe to
a pu
blic o
fficial
, or
wer
e ask
ed fo
r a br
ibe by
thos
e pub
lic
officia
ls du
ring t
he pr
eviou
s 12 m
onths
3
Targ
et 16
.6: D
evelo
p ef
fect
ive, a
ccou
ntab
le an
d tra
nspa
rent
inst
itutio
ns at
all le
vels
16.6.
1 Prim
ary g
over
nmen
t exp
endit
ures
as
a pr
opor
tion o
f orig
inal a
ppro
ved
budg
et, by
secto
r (or
by bu
dget
code
s or
simila
r)
1DB
MBU
R
The p
ropo
rtion o
f nati
onal
gov-
ernm
ent e
xpen
ditur
e to a
ppro
ved
allotm
ent a
ppea
ring i
n the
GAA
, by
depa
rtmen
t.
NN
NN
11
0
N/A
Annu
al
16.6.
2 Pro
portio
n of th
e pop
ulatio
n sa
tisfie
d with
their
last
expe
rienc
e of
publi
c ser
vices
2CS
C
Targ
et 16
.7: E
nsur
e res
pons
ive, in
clusiv
e, pa
rticip
ator
y and
repr
esen
tativ
e dec
ision
-mak
ing
at al
l leve
ls
16.7.
1 Pro
portio
ns of
posit
ions (
by
sex,
age,
perso
ns w
ith di
sabil
ities a
nd
popu
lation
grou
ps) in
publi
c ins
titutio
ns
(nati
onal
and l
ocal
legisl
ature
s, pu
blic
servi
ce, a
nd ju
diciar
y) co
mpar
ed to
na
tiona
l dist
ributi
ons
1CS
C
The g
over
nmen
t per
sonn
el inc
lude
those
in na
tiona
l gov
ernm
ent
agen
cies (
NGAs
), go
vern
ment-
owne
d an
d con
trolle
d cor
pora
tions
(GOC
Cs),
local
gove
rnme
nt un
its (L
GUs),
loca
l wa
ter di
strict
s (LW
Ds),
and s
tate,
unive
rsitie
s, an
d coll
eges
(SUC
s).
The n
umbe
r of p
ublic
servi
ce po
si-tio
ns he
ld by
mem
bers
of the
targ
et gr
oup (
by se
x) div
ided b
y the
total
nu
mber
of su
ch po
sition
s.
NN
NN
11
1
1
16.7.
2 Pro
portio
n of p
opula
tion w
ho
belie
ve de
cision
-mak
ing is
inclu
sive a
nd
resp
onsiv
e, by
sex,
age,
disab
ility a
nd
popu
lation
grou
p
3
Targ
et 16
.8: B
road
en an
d st
reng
then
the p
artic
ipat
ion
of d
evelo
ping
coun
tries
in th
e ins
titut
ions
of g
loba
l gov
erna
nce
16.8.
1 Pro
portio
n of m
embe
rs an
d vo
ting r
ights
of de
velop
ing co
untrie
s in
inter
natio
nal o
rgan
izatio
nsN/
A
Targ
et 16
.9: B
y 203
0, pr
ovid
e leg
al id
entit
y for
all, i
nclu
ding
birt
h re
gist
ratio
n
16.9.
1 Pro
portio
n of c
hildr
en un
der 5
ye
ars o
f age
who
se bi
rths h
ave b
een
regis
tered
with
a civ
il auth
ority
, by a
ge1
PSA
Numb
er
of Re
gis-
tered
The p
ropo
rtion o
f chil
dren
unde
r the
ag
e of fi
ve w
hose
birth
s are
repo
rted
The n
umbe
r of c
hildr
en un
der t
he ag
e of
five w
hose
birth
s are
regis
tered
YN
NN
11
1
1
129 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xLiv
e Bi
rths i
n the
Phil
-ipp
ines
as be
ing re
gister
ed w
ith th
e PSA
.wi
th the
PSA
divid
ed by
the t
otal
numb
er of
child
ren u
nder
the a
ge of
fiv
e in t
he po
pulat
ion.
Targ
et 16
.10: E
nsur
e pub
lic ac
cess
to in
form
atio
n, an
d pr
otec
t fun
dam
enta
l fre
edom
s, in
acco
rdan
ce w
ith n
atio
nal le
gisla
tion
and
inte
rnat
iona
l agr
eem
ents
16.10
.1 Nu
mber
of ve
rified
case
s of k
illing
, kid
napp
ing, e
nforce
d disa
ppea
ranc
e, ar
bitra
ry de
tentio
n and
tortu
re of
jou
rnali
sts, a
ssoc
iated
med
ia pe
rsonn
el,
trade
union
ists a
nd hu
man r
ights
advo
cates
in th
e pre
vious
12 m
onths
2PR
O-CO
R
16.10
.2 Nu
mber
of co
untrie
s tha
t ado
pt an
d imp
lemen
t con
stitut
ional,
statu
tory
and/o
r poli
cy gu
aran
tees f
or pu
blic a
cces
s to
infor
matio
n
N/A
N/A
N/A
N/A
N/
A
Targ
et 16
.a: S
treng
then
relev
ant n
atio
nal in
stitu
tions
, inclu
ding
thro
ugh
inte
rnat
iona
l coo
pera
tion,
for b
uild
ing
capa
city a
t all l
evels
, in p
artic
ular
in d
evelo
ping
coun
tries
, for
pre
vent
ing
violen
ce an
d co
mba
tting
terro
rism
and
crim
e
16.a.
1 Exis
tence
of in
depe
nden
t nati
onal
huma
n righ
ts ins
titutio
ns in
comp
lianc
e wi
th the
Par
is Pr
incipl
esN/
AN/
A
Targ
et 16
.b P
rom
ote a
nd en
forc
e non
-disc
rimin
ator
y law
s and
pol
icies
for s
usta
inab
le de
velo
pmen
t
16.b.
1 Pro
portio
n of p
opula
tion r
epor
ting
havin
g per
sona
lly fe
lt disc
rimina
ted
again
st or
hara
ssed
in th
e pre
vious
12
mon
ths on
the b
asis
of a g
roun
d of
discri
mina
tion p
rohib
ited u
nder
int
erna
tiona
l hum
an rig
hts la
w
3PR
O-CO
R
Goal
17: S
treng
then
the m
eans
of i
mpl
emen
tatio
n an
d re
vitali
ze th
e glo
bal p
artn
ersh
ip fo
r sus
tain
able
deve
lopm
ent
Targ
et 17
.1 St
reng
then
dom
estic
reso
urce
mob
ilizat
ion,
inclu
ding
thro
ugh
inte
rnat
iona
l sup
port
to d
evelo
ping
coun
tries
, to
impr
ove d
omes
tic ca
pacit
y for
tax a
nd o
ther
reve
nue c
ollec
tion
17.1.
1 Tota
l gov
ernm
ent r
even
ue as
a pr
opor
tion o
f GDP
, by s
ource
3PS
A
Natio
nal G
over
nmen
t Tota
l Rev
enue
s is
the co
llecti
ons o
f the N
ation
al Go
vern
ment
from
tax an
d non
-tax
sour
ces
The R
even
ue D
istric
t Offic
ees
(RDO
s) of
the B
IR pr
oces
s and
pr
epar
e the
BIR
1209
repo
rt an
d su
bmit i
t to th
e Coll
ectio
n
10
0
N/A
130 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xUn
it of th
e Reg
ional
Offic
e. Al
l the
1209
repo
rts su
bmitte
d by t
he R
DO
are t
hen t
rans
mitte
d to t
he R
even
ue
Acco
untin
g Divi
sion (
RAD)
of th
e Na
tiona
l Offic
e (NO
). Th
e RAD
pr
oces
ses/e
ncod
es/pr
ints/a
nalyz
es
the 12
09 re
ports
. If th
ere a
re no
dis
crepa
ncy i
n the
repo
rts, th
e RAD
co
nsoli
dates
and p
repa
res t
he
colle
ction
repo
rts fo
r sub
miss
ion to
To
p Man
agem
ent /
Stati
stics
Divi
sion.
In ca
se th
ere a
re di
scre
panc
y, the
RA
D inf
orms
the R
DO/R
egion
con-
cern
ed th
roug
h pho
ne / l
etter
s of a
ny
discre
panc
y note
d in t
he 12
09 re
ports
for
appr
opria
te ac
tion.
GDP
follow
s the
defin
ition u
sed i
n the
2008
SNA
.
17.1.
2 Pro
portio
n of d
omes
tic bu
dget
funde
d by d
omes
tic ta
xes
3PS
A
Dome
stic-B
ased
Coll
ectio
ns is
the
sum
of all
tax r
even
ues f
rom
dome
stic
sour
ces.
Sum
of all
tax r
even
ues f
rom
dome
s-tic
sour
ces
10
0
N/A
Targ
et 17
.2 De
velo
ped
coun
tries
to im
plem
ent f
ully
their
offi
cial d
evelo
pmen
t ass
istan
ce co
mm
itmen
ts, in
cludi
ng th
e com
mitm
ent b
y man
y dev
elope
d co
untri
es to
achi
eve t
he ta
rget
of 0
.7 pe
r cen
t of O
DA/G
NI to
dev
elopi
ng
coun
tries
and
0.15 t
o 0.2
0 per
cent
of O
DA/G
NI to
leas
t dev
elope
d co
untri
es; O
DA p
rovid
ers a
re en
cour
aged
to co
nsid
er se
tting
a ta
rget
to p
rovid
e at l
east
0.20
per
cent
of O
DA/G
NI to
leas
t dev
elope
d co
untri
es
17.2.
1 Net
officia
l dev
elopm
ent
assis
tance
, total
and t
o lea
st de
velop
ed
coun
tries,
as a
prop
ortio
n of th
e Or
ganiz
ation
for E
cono
mic C
oope
ratio
n an
d Dev
elopm
ent (
OECD
) Dev
elopm
ent
Assis
tance
Com
mitte
e don
ors’
gros
s na
tiona
l inco
me (G
NI)
N/A
Offic
ial D
evelo
pmen
t Ass
istan
ce
(ODA
), as
defin
ed in
Rep
ublic
Act
8182
– OD
A Act
of 19
96, is
a loa
n or a
gr
ant a
dmini
stere
d with
the o
bjecti
ve
of pr
omoti
ng su
staina
ble so
cial a
nd
econ
omic
deve
lopme
nt an
d welf
are
of the
Phil
ippine
s. OD
A re
sour
ces
must
be co
ntrac
ted w
ith go
vern
ments
of
foreig
n cou
ntries
with
who
m the
Ph
ilippin
es ha
s dipl
omati
c, tra
de re
la-tio
ns or
bilat
eral
agre
emen
ts or
whic
h ar
e mem
bers
of the
Unit
ed N
ation
s, the
ir age
ncies
and i
ntern
ation
al or
mu
ltilate
ral le
nding
insti
tution
s.
Net O
DA di
sbur
seme
nts as
per c
ent
of GN
I1
00
N/
A
Targ
et 17
.3: M
obiliz
e add
ition
al fin
ancia
l res
ourc
es fo
r dev
elopi
ng co
untri
es fr
om m
ultip
le so
urce
s
131 | Page
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Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x
17.3.
1 For
eign d
irect
inves
tmen
ts (F
DI),
officia
l dev
elopm
ent a
ssist
ance
and
South
-Sou
th Co
oper
ation
as a
prop
ortio
n of
total
dome
stic b
udge
t
N/A
Fore
ign D
irect
Inves
tmen
t is de
fined
as
an in
terna
tiona
l inve
stmen
t by a
re
siden
t enti
ty in
one e
cono
my (“
direc
t inv
estor
”) in
an en
terpr
ise re
siden
t in
anoth
er ec
onom
y (“d
irect
inves
tmen
t en
terpr
ise “)
mad
e with
the o
bjecti
ve
of ob
tainin
g a la
sting
inter
est. T
he
“lasti
ng in
teres
t” im
plies
the e
xisten
ce
of lon
g-ter
m re
lation
ship
betw
een t
he
direc
t inve
stor a
nd th
e ente
rpris
e and
a s
ignific
ant d
egre
e of in
fluen
ce on
the
man
agem
ent o
f the e
nterp
rise.
This
lastin
g inte
rest
is ge
nera
lly in
di-ca
ted by
owne
rship
of at
least
10 pe
r-ce
nt of
the or
dinar
y sha
res o
r voti
ng
powe
r (for
inco
rpor
ated e
nterp
rise)
or
the eq
uivale
nt (fo
r an u
ninco
rpor
ated
enter
prise
). FD
I cov
ers e
quity
capit
al,
reinv
ested
earn
ings a
nd ot
her c
apita
l (i.e
. inter
-comp
any l
oans
).
1
N/A
17.3.
2 Volu
me of
remi
ttanc
es (in
Unit
ed
State
s doll
ars)
as a
prop
ortio
n of to
tal
GDP
N/A
OFs’
Remi
ttanc
es by
Cou
ntry a
nd by
Ty
pe of
Wor
ker.T
his re
fers t
o stat
istics
on
cash
remi
ttanc
es co
urse
d thr
ough
co
mmer
cial b
anks
, thrift
bank
s, an
d for
eign e
xcha
nge c
orpo
ratio
ns of
sea-
base
d and
land
-bas
ed O
F wo
rkers,
cla
ssifie
d by s
ource
coun
try.
Per
sona
l Rem
ittanc
es P
erso
nal
remi
ttanc
es co
vers
• net
comp
ensa
tion o
f emp
loyee
s (i.e
., gro
ss ea
rning
s of la
nd-b
ased
OF
wor
kers
with
work
contr
acts
of les
s tha
n one
year
and o
f sea
-bas
ed
worke
rs, le
ss th
eir ex
pend
iture
s in
their h
ost c
ountr
ies)
• pe
rsona
l tran
sfers
• cur
rent
trans
fers i
n cas
h or in
kind
by
OF
worke
rs wi
th wo
rk co
ntrac
ts of
(to in
dicate
meth
od of
comp
utatio
n)Co
nform
ity w
ith st
anda
rds:
The
comp
ilatio
n of p
erso
nal re
mitta
nc-
es, in
cludin
g data
sour
ces a
nd
metho
dolog
ies us
ed, c
onfor
m to
the
inter
natio
nally
acce
pted s
tanda
rds
and g
uideli
nes s
et ou
t in th
e Inte
rna-
tiona
l Mon
etary
Fund
’s (IM
F) B
alanc
e of
Paym
ents
and I
ntern
ation
al Inv
estm
ent P
ositio
n Man
ual, 6
th Ed
ition (
BPM6
). Da
ta So
urce
s: Th
e da
ta ar
e sou
rced p
rimar
ily fr
om re
-po
rts su
bmitte
d by b
anks
thro
ugh t
he
Inter
natio
nal T
rans
actio
ns R
epor
ting
Syste
m (IT
RS).
Remi
ttanc
es in
kind
ar
e com
puted
using
para
meter
s de
rived
from
the r
esult
s of th
e Sur
vey
on O
verse
as F
ilipino
s (SO
F)
1
N/A
132 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xof
one y
ear o
r mor
e •
other
hous
ehold
-to-h
ouse
hold
trans
fers b
etwee
n Filip
inos w
ho ha
ve
migr
ated a
broa
d and
their
fami
lies i
n the
Phil
ippine
s •
capit
al tra
nsfer
s betw
een h
ouse
-ho
lds (i.
e., th
e pro
vision
of re
sour
ces
for ca
pital
forma
tion p
urpo
ses,
such
as
for c
onstr
uctio
n of r
eside
ntial
hous
-es
, betw
een r
eside
nt an
d non
-res-
ident
hous
ehold
s with
out a
nythi
ng
of ec
onom
ic va
lue be
ing su
pplie
d in
retur
n).
cond
ucted
by th
e Phil
ippine
Stat
istics
Au
thority
(PSA
). Pe
riodic
ity: O
F Re
mitta
nces
Stat
istics
are p
ublis
hed
ever
y 15th
day o
f the m
onth
(or t
he
next
worki
ng da
y if th
e 15th
falls
on a
week
end o
r is a
non-
worki
ng ho
liday
) wi
th tw
o-mo
nth la
g. Re
vision
s, if a
ny,
are e
ffecte
d in t
he ne
xt re
portin
g pe
riod.
Valua
tion:
Tran
sacti
ons a
re
value
d at m
arke
t pric
es.
Targ
et 17
.4 As
sist d
evelo
ping
coun
tries
in at
tain
ing
long
-term
deb
t sus
tain
abilit
y thr
ough
coor
dina
ted
polic
ies ai
med
at fo
ster
ing
debt
fina
ncin
g, d
ebt r
elief
and
debt
rest
ruct
urin
g, as
appr
opria
te, a
nd ad
dres
s the
exte
rnal
debt
of
high
ly in
debt
ed p
oor c
ount
ries t
o re
duce
deb
t dist
ress
17.4.
1 Deb
t ser
vice a
s a pr
opor
tion o
f ex
ports
of go
ods a
nd se
rvice
sN/
ATo
tal D
ebt S
ervic
e is t
he su
m of
debt
amor
tizati
on an
d inte
rest
paym
ents
on
dome
stic a
nd fo
reign
borro
wing
s.
Total
Deb
t Ser
vice i
s the
sum
of de
bt am
ortiz
ation
and i
ntere
st pa
ymen
ts on
dome
stic a
nd fo
reign
borro
wing
s.
•Goo
ds: D
ata on
good
s are
base
d on
custo
ms da
ta, w
hich t
he P
hilipp
ine
Stati
stics
Auth
ority
(PSA
) pro
cess
es
and c
onso
lidate
s. Th
e PSA
comp
iles
the fo
reign
trad
e stat
istics
(FTS
) us
ing th
e gen
eral
trade
syste
m, in
wh
ich th
e nati
onal
boun
dary
serve
s as
the s
tatist
ical fr
ontie
r. In t
he
balan
ce of
paym
ents,
both
impo
rts
and e
xpor
ts ar
e valu
ed f.o
.b. at
the
custo
ms fr
ontie
r. Fo
r bala
nce
of pa
ymen
ts pu
rpos
es, th
e BSP
un
derta
kes a
djustm
ents
on P
SA F
TS,
as fo
llows
: a) e
xclud
e goo
ds th
at do
no
t invo
lve ch
ange
in ow
nersh
ip su
ch
as co
nsign
ed, r
eturn
ed/re
place
d, an
d tem
pora
rily im
porte
d/exp
orted
go
ods;
b) in
clude
good
s tha
t are
not
captu
red i
n FTS
such
as ov
erse
as
Filipi
nos’
(OFs
) rem
ittanc
es in
kind
,
10
0
N/A
133 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xfis
h bou
ght/s
old in
high
seas
, go
ods i
mpor
ted by
resid
ent a
irline
s an
d ship
ping c
ompa
nies;
good
s ex
porte
d to f
oreig
n airli
nes,
and
good
s sold
unde
r mer
chan
ting;
and
c) ad
justm
ents
to ac
coun
t for t
he
unde
rvalua
tion o
f con
signe
d exp
orts/
impo
rts, p
artic
ularly
elec
tronic
s and
ga
rmen
ts. •
Servi
ces a
nd pr
imar
y inc
ome:
The m
ain so
urce
is In
terna
-tio
nal T
rans
actio
ns R
epor
ting S
ystem
(IT
RS),
exce
pt for
the f
ollow
ing: (
a)
pass
enge
r tra
nspo
rtatio
n are
base
d on
Civi
l Aer
onau
tics B
oard
’s (C
AB)
repo
rts on
loca
l airli
nes o
pera
ting
abro
ad an
d for
eign a
irline
s ope
ratin
g in
the P
hilipp
ines;
(b) f
reigh
t tran
s-po
rtatio
n ser
vices
are s
ource
d fro
m the
FTS
, (c)
trave
l rece
ipts a
re ba
sed
on th
e Visi
tors S
ample
Sur
vey (
VSS)
wh
ile tr
avel
impo
rts ar
e par
tly ba
sed
on re
ports
of C
redit
Car
d Ass
ociat
ion
of the
Phil
ippine
s (CC
AP) o
n usa
ge
of loc
ally i
ssue
d car
ds ab
road
, (d)
int
eres
t pay
ments
of th
e non
bank
se
ctors
are b
ased
on in
forma
tion
from
the ex
terna
l deb
t stat
istics
,(e)
inter
est in
come
and p
ayme
nts of
the
BSP
are b
ased
on its
acco
untin
g re
cord
s, an
d (f)
reinv
ested
earn
ings
are b
ased
on fin
ancia
l stat
emen
ts of
foreig
n-ow
ned c
ompa
nies a
nd
the fo
reign
dire
ct inv
estm
ent (
FDI)
surve
y for
non-
bank
s and
on ba
nking
sta
tistic
s for
bank
s’ un
remi
tted p
rofits
an
d rein
veste
d ear
nings
. Othe
r sou
rc-es
that
comp
lemen
t the I
TRS
are t
he
Cros
s-bor
der T
rans
actio
ns S
urve
y (C
BTS)
and o
ther a
dmini
strati
ve da
ta.
134 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
17.5
Adop
t and
impl
emen
t inv
estm
ent p
rom
otio
n re
gim
es fo
r lea
st d
evelo
ped
coun
tries
17.5.
1 Num
ber o
f cou
ntries
that
adop
t and
im
pleme
nt inv
estm
ent p
romo
tion r
egim
es
for le
ast d
evelo
ped c
ountr
iesN/
A
Targ
et 17
.6 En
hanc
e Nor
th-S
outh
, Sou
th-S
outh
and
trian
gular
regi
onal
and
inte
rnat
iona
l coo
pera
tion
on an
d ac
cess
to sc
ience
, tec
hnol
ogy a
nd in
nova
tion
and
enha
nce k
nowl
edge
shar
ing
on m
utua
lly ag
reed
term
s, in
cludi
ng
thro
ugh
impr
oved
coor
dina
tion
amon
g ex
istin
g m
echa
nism
s, in
par
ticul
ar at
the U
nite
d Na
tions
leve
l, and
thro
ugh
a glo
bal t
echn
olog
y fac
ilitat
ion
mec
hani
sm17
.6.1 N
umbe
r of s
cienc
e and
/or
techn
ology
coop
erati
on ag
reem
ents
and
prog
ramm
es be
twee
n cou
ntries
, by t
ype
of co
oper
ation
N/A
17.6.
2 Fixe
d Inte
rnet
broa
dban
d su
bscri
ption
s per
100 i
nhab
itants
, by
spee
d2
DICT
Admi
n Da
ta1
N/
A
Targ
et 17
.7 Pr
omot
e the
dev
elopm
ent,
trans
fer,
diss
emin
atio
n an
d di
ffusio
n of
envir
onm
enta
lly so
und
tech
nolo
gies
to d
evelo
ping
coun
tries
on
favo
urab
le te
rms,
inclu
ding
on
conc
essio
nal a
nd p
refe
rent
ial te
rms,
as m
utua
lly
agre
ed17
.7.1
Total
amou
nt of
appr
oved
fund
ing
for de
velop
ing co
untrie
s to p
romo
te the
de
velop
ment,
tran
sfer, d
issem
inatio
n an
d diffu
sion o
f env
ironm
ental
ly so
und
techn
ologie
s
N/A
Targ
et 17
.8: F
ully
oper
atio
naliz
e the
tech
nolo
gy b
ank a
nd sc
ience
, tec
hnol
ogy a
nd in
nova
tion
capa
city-
build
ing
mec
hani
sm fo
r lea
st d
evelo
ped
coun
tries
by 2
017 a
nd en
hanc
e the
use
of e
nabl
ing
tech
nolo
gy, in
par
ticul
ar
info
rmat
ion
and
com
mun
icatio
ns te
chno
logy
17.8.
1 Pro
portio
n of in
dividu
als us
ing th
e Int
erne
t1
PSA
FLEM
MS P
opu-
lation
Pr
ojec-
tions
Prop
osed
Com
putat
ion: T
he ex
po-
sure
of F
ilipino
s 10-
64 ye
ars o
ld to
inter
net fo
r soc
ial m
edia
and r
esea
rch
divide
d by p
opula
tion a
ged 1
0-64
.
YN
NN
11
1
1
Targ
et 17
.9: E
nhan
ce in
tern
atio
nal s
uppo
rt fo
r im
plem
entin
g ef
fect
ive an
d ta
rget
ed ca
pacit
y-bu
ildin
g in
dev
elopi
ng co
untri
es to
supp
ort n
atio
nal p
lans t
o im
plem
ent a
ll the
sust
ainab
le de
velo
pmen
t goa
ls, in
cludi
ng th
roug
h No
rth-
Sout
h, S
outh
-Sou
th an
d tri
angu
lar co
oper
atio
n17
.9.1 D
ollar
value
of fin
ancia
l and
tec
hnica
l ass
istan
ce (in
cludin
g thr
ough
No
rth-S
outh,
Sou
th-So
uth an
d tria
ngula
r co
oper
ation
) com
mitte
d to d
evelo
ping
coun
tries
N/A
The s
um of
ODA
and O
OF flo
ws fr
om
all do
nors
to de
velop
ing co
untrie
s for
capa
city b
uildin
g and
natio
nal
plann
ing
11
0
N/A
135 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
xTa
rget
17.10
Pro
mot
e a u
nive
rsal,
rules
-bas
ed, o
pen,
non
disc
rimin
ator
y and
equi
tabl
e mul
tilat
eral
tradi
ng sy
stem
und
er th
e Wor
ld Tr
ade O
rgan
izatio
n, in
cludi
ng th
roug
h th
e con
clusio
n of
neg
otiat
ions
und
er it
s Doh
a Dev
elopm
ent
Agen
da
17.10
.1 W
orldw
ide w
eighte
d tar
iff-av
erag
eN/
A
Targ
et 17
.11 S
igni
fican
tly in
crea
se th
e exp
orts
of d
evelo
ping
coun
tries
, in p
artic
ular
with
a vie
w to
dou
blin
g th
e lea
st d
evelo
ped
coun
tries
’ sha
re o
f glo
bal e
xpor
ts b
y 202
0
17.11
.1 De
velop
ing co
untrie
s’ an
d lea
st de
velop
ed co
untrie
s’ sh
are o
f glob
al ex
ports
N/A
Targ
et 17
.12 R
ealiz
e tim
ely im
plem
enta
tion
of d
uty-
free a
nd q
uota
-free
mar
ket a
cces
s on
a las
ting
basis
for a
ll lea
st d
evelo
ped
coun
tries
, con
siste
nt w
ith W
orld
Trad
e Org
aniza
tion
decis
ions
, inclu
ding
by e
nsur
ing
that
pre
fere
ntial
ru
les o
f orig
in ap
plica
ble t
o im
ports
from
leas
t dev
elope
d co
untri
es ar
e tra
nspa
rent
and
simpl
e, an
d co
ntrib
ute t
o fa
cilita
ting
mar
ket a
cces
s17
.12.1
Aver
age t
ariffs
face
d by
deve
loping
coun
tries,
least
deve
loped
co
untrie
s and
small
islan
d dev
elopin
g St
ates
N/A
Targ
et 17
.13 E
nhan
ce g
loba
l mac
roec
onom
ic st
abilit
y, in
cludi
ng th
roug
h po
licy c
oord
inat
ion
and
polic
y coh
eren
ce
17.13
.1 Ma
rcoec
onom
ic Da
shbo
ard
N/A
Targ
et 17
.14 E
nhan
ce p
olicy
cohe
renc
e for
sust
ainab
le de
velo
pmen
t
17.14
.1 Nu
mber
of co
untrie
s with
me
chan
isms i
n plac
e to e
nhan
ce po
licy
cohe
renc
e of s
ustai
nable
deve
lopme
ntN/
A
Targ
et 17
.15 R
espe
ct ea
ch co
untry
’s po
licy s
pace
and
leade
rshi
p to
esta
blish
and
impl
emen
t pol
icies
for p
over
ty er
adica
tion
and
sust
ainab
le de
velo
pmen
t
17.15
.1 Ex
tent o
f use
of co
untry
-own
ed
resu
lts fr
amew
orks
and p
lannin
g too
ls by
pr
ovide
rs of
deve
lopme
nt co
oper
ation
N/A
Targ
et 17
.16 E
nhan
ce th
e Glo
bal P
artn
ersh
ip fo
r Sus
tain
able
Deve
lopm
ent,
com
plem
ente
d by
mul
ti-st
akeh
olde
r par
tner
ship
s tha
t mob
ilize a
nd sh
are k
nowl
edge
, exp
ertis
e, te
chno
logy
and
finan
cial r
esou
rces
, to
supp
ort t
he
achi
evem
ent o
f the
Sus
tain
able
Deve
lopm
ent G
oals
in al
l cou
ntrie
s, in
par
ticul
ar d
evelo
ping
coun
tries
17.16
.1 Nu
mber
of co
untrie
s rep
ortin
g pr
ogre
ss in
mult
i-stak
ehold
er de
velop
ment
effec
tiven
ess m
onito
ring f
rame
works
tha
t sup
port
the ac
hieve
ment
of the
su
staina
ble de
velop
ment
goals
N/A
Targ
et 17
.17 E
ncou
rage
and
prom
ote e
ffect
ive p
ublic
, pub
lic-p
rivat
e and
civil
socie
ty p
artn
ersh
ips,
build
ing
on th
e exp
erien
ce an
d re
sour
cing
stra
tegi
es o
f par
tner
ship
s
136 | Page
Goal
Targ
etIn
dica
tor
TIER
Agen
cy
Data
So
urce
Defin
ition
Meth
od o
f Co
mpu
tatio
nRS
DPRD
PCO
RE-
ISCM
CI
Avail
abilit
y 1-
Yes /
0-No
/ not
App
licab
leFr
eque
ncy
of D
ata
Colle
ctio
nNa
t’ l
Reg’
lPr
ov’
lMu
nby
Se
x17
.17.1
Amou
nt of
Unite
d Stat
es do
llars
comm
itted t
o pub
lic-p
rivate
and c
ivil
socie
ty pa
rtner
ships
N/A
Targ
et 17
.18: B
y 202
0, en
hanc
e cap
acity
-bui
ldin
g su
ppor
t to
deve
lopi
ng co
untri
es, in
cludi
ng fo
r lea
st d
evelo
ped
coun
tries
and
small
islan
d de
velo
ping
Sta
tes,
to in
crea
se si
gnifi
cant
ly th
e ava
ilabi
lity o
f hig
h-qu
ality,
tim
ely an
d re
liabl
e dat
a disa
ggre
gate
d by
inco
me,
gend
er, a
ge, r
ace,
ethn
icity,
mig
rato
ry st
atus
, disa
bilit
y, ge
ogra
phic
loca
tion
and
othe
r cha
ract
erist
ics re
levan
t in
natio
nal c
onte
xts
17.18
.1 Pr
opor
tion o
f sus
taina
ble
deve
lopme
nt ind
icator
s pro
duce
d at th
e na
tiona
l leve
l with
full d
isagg
rega
tion
when
relev
ant to
the t
arge
t, in a
ccor
danc
e wi
th the
Fun
dame
ntal P
rincip
les of
Offic
ial
Stati
stics
N/A
17.18
.2 Nu
mber
of co
untrie
s tha
t hav
e na
tiona
l stat
istica
l legis
lation
that
comp
lies
with
the F
unda
menta
l Prin
ciples
of O
fficial
St
atisti
cs
N/A
Th
e Ind
icator
is an
swer
able
by Ye
s or
No
1
N/A
17.18
.3 Nu
mber
of co
untrie
s with
a na
tiona
l stat
istica
l plan
that
is ful
ly fun
ded
and u
nder
imple
menta
tion,
by so
urce
of
fundin
g
N/A
Th
e Ind
icator
is an
swer
able
by Ye
s or
No
1
N/A
Targ
et 17
.19: B
y 203
0, bu
ild o
n ex
istin
g in
itiat
ives t
o de
velo
p m
easu
rem
ents
of p
rogr
ess o
n su
stain
able
deve
lopm
ent t
hat c
ompl
emen
t gro
ss d
omes
tic p
rodu
ct, a
nd su
ppor
t sta
tistic
al ca
pacit
y-bu
ildin
g in
dev
elopi
ng co
untri
es
17.19
.1 Do
llar v
alue o
f all r
esou
rces m
ade
avail
able
to str
ength
en st
atisti
cal c
apac
ity
in de
velop
ing co
untrie
sN/
A
The s
um of
ODA
and O
OF flo
ws fr
om
all do
nors
to de
velop
ing co
untrie
s for
capa
city b
uildin
g and
natio
nal
plann
ing
11
1
N/A
17.19
.2 Pr
opor
tion o
f cou
ntries
that
(a)
have
cond
ucted
at le
ast o
ne po
pulat
ion
and h
ousin
g cen
sus i
n the
last
10 ye
ars;
and (
b) ha
ve ac
hieve
d 100
per c
ent
birth
regis
tratio
n and
80 pe
r cen
t dea
th re
gistra
tion
N/A
This
indica
tor is
answ
erab
le by
Yes
or N
o
1
N/
A
137 | Page
138 | Page
Appendix 1: RSC-CAR Resolutions Passed
Series of 2016
Resolution No 1, series of 2016: Approving the Statistical Development of RSC-CAR for CY 2016
Resolution No 2, series of 2016: Approving Additional Members to the RSC-CAR
Resolution No 3, series of 2016: Inviting All Public and Private Agencies to Support and Actively Participate in the 27th NSM Celebration and the 13th National Convention on Statistics
Resolution No 4, series of 2016: Creation of Technical Working Group for the 27th NSM and the 13th NCS.
Resolution No 5, series of 2016: Approving the Membership of the NCIP-CAR to the Committee
Resolution No 6, series of 2016: Creation of the Technical Working Group on Sustainable Development Goals (SDG) Statistics
Resolution No 7, series of 2016: Reconstitution of the Regional Technical Committee on Survey Design (RTCSD)
Resolution No 8, series of 2016: Approving the Membership of Mr. Rafael Gayaso of NORLU CEDEC as Private Sector Representative to the RSC-CAR
Resolution No 9, series of 2016: Approving the 2017 RSC-CAR Development Agenda
Series of 2017
Resolution No. 1, series of 2017: Creation of the Core Regional Indicator System (CoRe Is) Task Force for the CAR
Resolution No. 2, series of 2017: Requesting the RLAs, Local Government Units and the Private Sector to provide the PSA-CAR with data needed in the estimation of the 2014-2016 GRDP of CAR Resolution No. 3, series of 2017: Establishing the Provincial/City Statistics Committees (P/CSCs) in the Cordillera Administrative Region
Resolution No. 4, series of 2017: Reconstitution of the Regional Statistics Committee (RSC) – CAR and Approving Additional Members
Resolution No. 5, series of 2017: Inviting All Public and Private Agencies to Support and Actively Participate in the 28th National Statistics Month Celebration
Resolution No. 6, series of 2017: Approving the Regional Statistical Development Programs (RSDP) 2017-2023 of the Cordillera Administrative Region (CAR)
Resolution No. 7, series of 2017: Approving the List of Indicators for the Cordillera Administrative Region (CAR) Core Regional Indicators System (CoRe-Is)
Resolution No. 8, series of 2017: Approving the 2018 RSC-CAR Development Agenda
139 | Page
Series of 2018
Resolution No. 1, series of 2018: Adopting the Revised Regional Statistical Development Program (RSDP) 2017-2023 of the Cordillera Administrative Region
Resolution No. 2, series of 2018: Requesting the Regional Line Agencies, Local Government Units and the Private Sector to Provide the Philippine Statistics Authority – Cordillera Administrative Region with Data needed in the Estimation of the 2015-2017 Gross Regional Domestic Product of CAR.
Resolution No. 3, series of 2018: Enjoining the City/Provincial Statistics Committees (C/PSCS) in Cordillera to Compile Core City/Provincial Indicators (CoPris)Appendix 2.
140 | Page
Appendix 2: RSC-CAR Committee Members
Chairperson
Dir. Milagros A. Rimando National Economic and Development Authority
Vice-chairperson
Dir Villafe P. AlibuyogPhilippine Statistics Authority
Members Alternate Representatives
1. Dir. Ma. Florizelda A. Enriquez Bureau of Local Government and Finance (BLGF)
2. Dir. Rogel Joseph Del Rosario Banko Sentral ng Pilipinas (BSP)
Marian C. Suaso / Therese Juralbal
3. Dir. Narciso A. Edillo Department of Agriculture (DA)
Charles A. Picpican
4. Dir. Liza B. Fangsilat Department of Budget and Management (DBM)
James M. Degsi
5. Engr. Ralph C. Pablo Department of Environment and Natural Resources (DENR)
Cirilo M. Gali / Rose Astadan
6. Dir. May B. Eclar Department of Education (DepEd)
Cyrille B. Miranda / Cresencio Gamay
7. Dir. Marlo L. Riningan Department of Interior and Local Government (DILG)
Danilo Azarcon Jr.
8. Dir. Lakshmi I. Leagaspi Department of Health (DOH)
Valerie B. Bagtuna / Christine Dirige
9. Dir. Exequiel Ronie A. Guzman Department of Labor and Employment (DOLE)
Mylene Bosleng
10. Dir. Marie Venus Q. Tan Department of Tourism (DOT)
Sylvia Chinayog / Mylene Tauli
11. Dir. Victor B. Mariano Department of Science and Technology (DOST)
Alice Balacua
12. Dir. Nerie D. Bueno Department of Public Works and Highways (DPWH)
Vilma Talamayan
13. Dir. Janet P. Armas Department of Social Welfare and Development (DSWD)
Rogerson Fernandez / Dexter Samidan
14. Dir. Myrna P. Pablo Department of Trade and Industry (DTI)
Karen Lising
15. Dr. Ma. Geraldine F. Casipit Comission on Higher Education (CHED)
Jude U. Ambucay
16. Dir. Efren F. Pinol Technical Skills and Development Authority (TESDA)
Gilda Wanawan / Marilyn Necessito
141 | Page
17. Dir. Fay W. Apil Mines and Geosciences Bureau (MGB)
Vivian Romero
18. Atty. Rone Joey S. Mipa Zone Administrator Philippine Economic Zone Authority (PEZA)
Modesto Agyao / Crystal Jade Rivera
19. Atty. Roland Calde National Comission on Indigenous Peoples (NCIP)
Cresente Claver Jr.
20. Dir. Rosa R. Fortaleza Commission on Population (POPCOM)
Cecile Basawil
21. PCSUPT Edward Espara T. Carranza Police Regional Office Cordillera (PROCOR)
Joewee Dausen
22. Mr. Benjamin V. Villalobos II Provincial Planning and Development Coordinator Provincial Planning and Development Office - ABRA
Jacqueline P. Plurad
23. Engr. Henry Caluduccan Provincial Planning and Development Coordinator Provincial Planni16 and Development Office – Apayao
Soledad T. Espita
24. Engr. Tuho C. Chapdian Provincial Planning and Development Coordinator Provincial Planning and Development Office – Benguet
Alberto Cuilan Jr.
25. Engr. Carmelita Buyuccan Provincial Planning and Development Coordinator Provincial Planning and Development Office – lfugao
Felicitas T. Hampuy
26. Ms. Flordeliza G. Moldero Provincial Planning and Development Coordinator Provincial Planning and Development Office – Kalinga
27. Ms. Lily Rose Kollin Provincial Planning and Development Coordinator Provincial Planning and Development Office - Mt. Province
Lorna A. Eslao
28. Engr. Evelyn B. Cayat City Planning and Development Coordinator City Planning and Development Office
Elias S. Aonan
29. Dr. Leah E. Abayao Director - Cordillera Studies Center University of the Philippines Baguio
Jeffrey Javier
30. Dr. Maria Azucena B. Lubrica Professor Benguet State University
Marycel T. Sajise
31. Rafael Gayaso Private Sector NORLU CEDEC
142 | Page
Appendix 3: RSC-CAR Technical Working Groups/Task Forces
CORE REGIONAL INDICATOR SYSTEM (CORE IS) TASK FORCE Chairperson:
Dir. Milagros A. Rimando National Economic and Development Authority
Vice-chairperson:
Dir. Villafe P. AlibuyogPhilippine Statistics Authority
Members:
1. FO2 Rodolfo C. Villanueva Jr. IIS NCO Bureau of Fire Protectio
2. Ms. Marilou Focasan AO III Department of Transportation
3. Ms. Cyrille Gaye B. Miranda Statistician 1 Department of Education
4. Ms. Diane Joaquin Nutrition Officer National Nurtition Council
5. Mr. Cirilo M. Gali ISA III Department of Environment and Natural Re-sources
6. Engr. Hilario Esperanza Chief Meteorologist Officer Philippine Atmospheric Geophysical and Astro-nomical Services Administration
7. Ms. Marie Janelle S. Acosta Revenue Officer 1 Bureau of Internal Revenue
8. PCINSP Jeoffer Bangayan Chief, Research Analysyis Section Philippine National Police
9. Mr. Dexter Samidan Statistician I Department of Social Welfare and Development
Representatives from the agencies of CHED, DOH, and DPWH are also members of the CoRe Is Task Force
REGIONAL TECHNICAL COMMITTEE ON SURVEY DESIGN (RTCSD)Chairperson: Dir. Villafe P. Alibuyog
Regional Director Philippine Statistics Authority
Members: 1. Dr. Maria Azucena B. Lubrica Professor IV Benguet State University
2. Ms. Rizavel Corsino - Addawe Assistant Professor University of the Philippines Baguio
3. Ms. Valerie B. Baniwas Statistician III Department of Health
4. Dr. Rhoda Basco - Galangco Director, Research and Development Center University of Baguio
5. Dr. Lorence M. Resurrection Head, Business Economics School of Accountancy and Business Managment Saint Louis University
6. Mr. Danilo E. Azarcon Jr University Statistician, Research and Development Center University of the Cordilleras
7. Mr. Raymart S. Lagunero Instructor I, College of Science University of the Philippines Baguio
REGIONAL TECHNICAL COMMITTEE ON SURVEY DESIGN (RTCSD)
ChairpersonVillafe P. Alibuyog Philippine Statistics Authority
Members 1. Dr. Maria Azucena B. Lubrica Professor IV Benguet State University
2. Rizavel Corsino - Addawe Assistant Professor University of the Philippines Baguio
3. Valerie B. Baniwas Statistician III Department of Health
4. Rhoda Basco - Galangco Director, Research and Development Center University of Baguio
5. Lorence M. Resurrection Head, Business Economics School of Accountancy and Business Managment Saint Louis University
6. Danilo E. Azarcon Jr University Statistician, Research and Development Center University of the Cordilleras
7. Raymart S. Lagunero Instructor I, College of Science University of the Philippines Baguio
143 | Page
144 | Page
NATIONAL STATISTICS MONTH TECHNICAL WORKING GROUPChairperson: Dir. Villafe P. Alibuyog
Regional Director Philippine Statistics Authority (PSA) - CAR
Vice Chair: Dir. Milagros A. Rimando Regional Director National Economic and Development Authority (NEDA) - CAR
Members: 1. Engr. Francis Basali Planning Officer V Department of Environment and natural Resources (DENR) - CAR
2. Mr. Danilo E. Azarcon Jr. Statistician II Department of Interior and Local Government (DILG) - CAR
3. Mr. Dexter B. Samidan Statistician I Department of Social Welfare and Development (DSWD) - CAR
4. Ms. Mylene P. Tauli Tourism Officer Department of Tourism (DOT) - CAR
5. Mr. Carlito Dar Information Officer Philippine Information Agency (PIA) - CAR
6. Dr. Leah E. Abayao Director Cordillera Studies Center University of the Philippines Baguio
7. Mr. Elias S. Aoanan Statistician III Baguio City Planning and Development Office (CPDO)
8. Ms. Alice A. Balacua Senior Research Specialist II Department of Science and Technology (DOST) - CAR
Representatives from the agencies of CHED, DBM, DEPED, DOH, DPWH, TESDA, are also members of the NSM TWG
Secretariat: Philippine Statistics Authority (PSA) - CAR
145 | Page
Appendix 4: SOCD Staff
The preparation of the 2017-2022 Regional Statistical Development Program (RSDP) and its publication was spearheaded by the Statistical Operations and Coordination Division (SOCD) of PSA - RSSO - CAR:
Aldrin Federico R. Bahit Jr. OIC Division Chief
Camille Carla U Beltran Supervising Statistical Specialist
Jocelyn O. Tayaban Senior Statistical Specialist II
Ma. Gina V. De Guzman Statistical Specialist II
Betina Joy V. Bermillo Statistical Specialist II
Warren B. Mamanteo Statistical Specialist II
Jezl R. Boado Information Officer
Winsky B. Salisa Information Systems Analyst
Jeanniel I. Barcayan Statistical Analyst
Cherry D. Kiaw Assistant Statistician
Dennis D. Gundran Assistant Statistician
Aimee M. Cabay Assistant Statistician
Brozybroz Y. Mateo Assistant Statistician
Kay Angelika Castro QMS Documenter
Villafe P. Alibuyog RSDP Adviser PSA-CAR Regional Director