Welcome! A PRESENTATION

International Conference on the Millennium Development Goals StatisticsInternational Conference on the Millennium Development Goals StatisticsEDSA Shangri-La HotelEDSA Shangri-La Hotel

1 – 3 October 20071 – 3 October 2007Mandaluyong City, Manila, PhilippinesMandaluyong City, Manila, Philippines

Welcome!Welcome!

A A PRESENTATIONPRESENTATION

Good Practices for Reducing Data Gaps: Papua New GuineaGood Practices for Reducing Data Gaps: Papua New Guinea

Wenceslaus TulemWenceslaus Tulem

National Statistical OfficeNational Statistical OfficePort MoresbyPort Moresby

Outline of the presentationOutline of the presentation

IntroductionIntroductionNational MDG ReportNational MDG Report

Status at a glanceStatus at a glanceMDG statistics reflectionMDG statistics reflection

Functional StructuresFunctional StructuresMDG Coordination and Implementation ProjectMDG Coordination and Implementation ProjectCore Working GroupCore Working GroupPNG Info SystemPNG Info System

Policy FrameworksPolicy FrameworksStatistical Services ActStatistical Services ActNational Planning and Monitoring ActNational Planning and Monitoring Act

InterventionsInterventionsThe Good Practices:The Good Practices:NSONSO

CensusCensusStatistical SurveysStatistical SurveysPNG Info SystemPNG Info System

DNPMDNPMComposite MDG IndexComposite MDG IndexMDG Coordination & Implementation ProjectMDG Coordination & Implementation Project

Challenges?Challenges?Statistical CapacityStatistical CapacityAvailability and QualityAvailability and Quality

ExpectationsExpectationsData gaps to be reducedData gaps to be reduced



Good Practices for Reducing Data GapsGood Practices for Reducing Data Gaps

The introduction of the Millennium Development Goals by the UN into the government planning process has lifted the awareness and advocacy of the MDG agenda to a new level.

The government officially released the national MDG Report in 2004. The report basically presented the country’s profile, its views about localizing the MDG goals and its development priorities.

The intentions were positive in taking onboard and integrating the MDGs into its national development framework . Although the process of achieving this was slow in the beginning, PNG now has managed to align the MDG framework into its arching development framework, the Medium Term Development Strategy (MTDS), and aligning it to the sectoral plans.

While the MDG concept was slowly setting into the minds of planners and policy makers in the bureaucracy, statisticians were still in the dark about their role in the MDG.

THE LIGHT IS NOW ON US.

We now know where we fit into the MDG equation and know our role to be more so important.

Before I talk about interventions, it is appropriate to quickly reflect on the status at the time of the first report.







The Years After the 2004 National MDG Report:

Status at a glance

MDG Goal Data Collection

Statistical Analysis

Statistics in Policy

Monitoring and Evaluation

Quality of Survey Data

Poverty and Hunger Weak Weak Fair Weak Good

Primary Education Fair Fair Weak Fair NA

Gender Equity Weak Weak Weak Weak NA

Child Mortality Fair Fair Fair Fair Fair

Maternal Mortality Very weak Very weak Very weak Very weak Fair

HIV/AIDS Very weak Very weak Very weak Very weak Very weak

Environ. Sustainability Very weak Very weak Very weak Very weak Very weak




MDG Statistics 2004 Reflection

The reflection is generally not very impressive• Weak in data collection and analysis• Use of statistics in policy and M&E is very weak• Survey data quality is generally good

MDG Indicator availability for 55 Countries (July 2006, ESCAP UNSD)• PNG has 52.1% of indicators available• Among thirty eight (over two thirds of) countries that have no data available

for 47 % of Indicators or more• Only seven countries have data available for at least 66% of the indicators• many data values are estimates by international agencies• Data availability have increased substantially

The story in short is: among many other data issues, we have huge data gaps.

This is the central issue of this presentation:

What are the good practices for reducing the data gaps?

Functional Structures

Good functional structures enable organizations to achieve their objectives.

MDG Coordination & Implementation Project (DNPM)• National MDG Steering Committee

– Membership from very senior bureaucrats• Technical Working Group

– members drawn from NSO and DNPM– Provide technical advice– Team leader

• Core Working Group– members drawn from DNPM and NSO– Team leader– Provide Secretariat

• PNG Info Team– Membership made up by NSO, DNPM and Development Partner (UNDP, UNICEF)– Team leader




Process StructureProcess Structure

NPC

NMDG SC

NEC

MDG CIP

Tech Work Group Core Work Group

PNG Info

Policy Framework

The Statistical Services Act: empowers the National Statistician to manage NSO.

• Creation of the National Statistical Service– Includes other government departments– Provincial administrations– Other institutions

• Core Functions of NSO– Collect, process, analyze, present and disseminate statistics– Economic Surveys (Int. Trade, ABS,CPI & National Accounts)– Population Census – Demographic & Health Surveys

• Data Analysis ***• Statistical Coordination *

Good structures complement effective implementation of policies:

These policies translate into interventions, we are about to see.




Interventions

The government realized, after the 2004 MDG report was released, the essential need to have relevant indicators to evaluate and monitor its development policies and performance.

The DNPM plays a key role in advising the govt. on national development planning. It is the lead department in implementing and enforcing the governments development policies and strategies. It is the lead partner in the MDG Project, together with the NSO.

The interventions are in essence the good practices, and they are currently taking place in two fronts; at the DNPM and the NSO.




Interventions

interventions by the NSO

National Population Census 2000

Analysis of the census data provided indicators mentioned in the first MDG report.

Census 2010 will provide second data point for measuring change in MDG

Census is expensive: donor funded most, with govt. component.

Provide many indicators for Goals 1-3.




Interventions

Good Intervention by NSO

Demographic and Health Survey 1996:

report was produced; but only one data point

2006 DHS• Data Analysis

- technical assistance is possibly needed

• How many indicators derived?

- 21 indicators altogether to be derived from the survey




Interventions

Good interventions by the NSO

PNG Info System has been installed at the NSO (July 2007)• Computers have been setup• LAN anticipated very soon• Numerous training sessions held, internally for NSO and focal government departments/institutions• Roll out programs to intensify

– For other departments – and the provinces

PNG Info is the most positive intervention that has taken place.

A major step forward in addressing some of issues of data gaps.




Interventions

Good intervention by the NSO

• Household Income & Expenditure Survey• project document been submitted to the govt. for budget support• Start February 2008, twelve months duration• Take care of seasonal effects• Poverty indicators (Goal 1) to be derived from the survey







Interventions

Department National Planning and Monitoring

The integration of the 67 localized indicators to the MTDS 2005-2010 is a very positive intervention..

In order to track the progress of the implementation of the MTDS, DNPM has developed the Performance Management Framework (PMF). This is a collection of key performance indicators reflecting different aspects of PNGs rate of development and the contribution of government to this end. By tracking progress against those indicators, the PMF (of the MTDS) seeks to answer the ultimate question: Is the country developing?




Interventions

Department National Planning and Monitoring

Two major policy interventions:• MDG Road Map (2007 – 2015)

policy submission made to NEC for endorsement

Develop a 6 year project for MDG

• NSO Census and surveys Road Map (2007 -2030)

policy submission has been made

develop a 20+ year plan for statistical surveys

This interventions will ensure there will be funding allocation in the budget every year for statistical projects

Challenging Issues

The challenging issues that can possibly slow our progress in reducing data gaps will come from;

• availability of data does not complement statistical capacity at

national and provincial level

• Use data from administrative records , checked for quality and reliability for comparability purposes

national and international

• do we have the technical capacity readily available to carry out these checks?

data analysis and dissemination of statistical information

• Management PNG Info System • Sustainably use it to meet its objective of improving data reporting processes




Welcome! A PRESENTATION

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