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SURYAMIN Chief Statistician of BPS-Statistics IndonesiaEmail: suryamin@bps.go.id

BPS–Statistics Indonesia

POST 2015 DEVELOPMENT AGENDA: Challenges and Implications for National Statistical Offices2014 IAOS CONFERENCEOctober 8th – 10th 2014, Da Nang, Vietnam

MDGs and Post 2015 Universal Agenda

OUTLINE

BPS-Statistics Indonesia Responses

NSO’s Challenges and Implications

1. The need to be efficient in the production of statistics,

2. The needs of business and public institutions,

3. The demand for open data access,

4. The effect of ICT, 5. The changing and fast moving

world, and 6. The upcoming Post 2015

Development Agenda

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TODAY’S PRESSURES FOR NSO

• Providing data and information to support monitoring Millennium Development Goals (MDGs) is one of overarching tasks faced by all NSOs especially in the developing world

• But many NSOs might gain some benefits in the form of impressive increase in statistical capacity building

• More than a decade after the MDGs were agreed, it was reported that there was an impressive improvement on the data availability for the majority of the MDGs indicators across 174 developing countries

• The percentage of countries producing sufficient data to provide trend analysis for MDG indicators increased from 2% in 2003 to 83% in 2012 (UN, 2012)

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EXPERIENCES FROM MDGs (1)

• MDGs significant progress and achievements fastest reduction in poverty in human history:

½ billion fewer people living below $ 1.25 a day child deaths rate have fallen by more than 30%:

about 3 million children’s lives saved each year death from malaria have fallen by one-quarter

• Inequality remains; opportunity not open to all 1.2 billion poorest people account for 1% world

consumption while the billion richest consume 72%

• Starting with the current MDGs, questions: What to keep, what to amend, and what to add

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EXPERIENCES FROM MDGs (2)

• All NSOs have to prepare with new condition and environment especially in meeting the demand for the new development framework

• Series of High Level Panel (HLP) meetings formulated big five transformative shifts to drive the post 2015 universal agenda:

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POST 2015 UNIVERSAL AGENDA

FIVE BIG TRANSFORMATIVE SHIFTS FOCUSED ON

Leaving no one behind; Ending extreme poverty

Putting sustainable development at the core;

Social inclusion and green economy

Transforming economies for jobs and inclusive growth;

Ensuring good job possibilities

Building peace and effective, open and accountable institutions for all

Building peaceful and prosperous society

Forging a new global partnership. Partnership should based on common understanding of shared community

NSO’s CHALLENGES AND IMPLICATIONS TO RESPOND POST 2015 DEVELOPMENT AGENDA

IMPLICATIONS Necessary and Sufficient

Condition ICT Utilization Data Sources Statistical Capacity Building

CHALLENGES Data Provision Data Collection Data Dissemination

• NSOs should collect more variety of statistics -- social inclusion, social capital, social resilience, violent against women and children, population dynamic, inclusive growth, conflicts, perception against corruption, climate change, gender equality, renewable energy, global warming, emission, disaster victim, and disability

• All statistics produced by NSOs must comply with international standards -- to make comparable figures across countries in monitoring progress of all development indicators.

• Timeliness and coverage need to be taken into account -- when dealing with monitoring progress and comparing across countries and across regions within country.

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CHALLENGES IN DATA PROVISION

• The post 2015 development framework is expected to rely heavily on data

• The call for a “data revolution” as advocated in the HLP report needs a necessary response from all NSOs -- the fact that current traditional data sources of official statistics are not sufficient to produce data to support the development agenda in this fast moving world

• There has been a shifting paradigm in a number of aspects with respect to producing statistics: From data older than 2 years to near real time; From printed data to open data; From only government sources to multiple sources, From data sampling to big data, etc.

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CHALLENGES IN DATA COLLECTION

• As the world is changing in line with the development of information technology, the content and access method in the data dissemination are also changing.

• Every piece of information useful for policy making and strategic development program should be easily accessible.

• Open access to data should also be promoted by all NSOs as this becomes a part of the HLP report calling for a “Data Revolution”.

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CHALLENGES IN DATA DISSEMINATION

NECESSARY AND SUFFICIENT CONDITION: To deal with some issues related to the upcoming Post 2015 Development

agenda, all NSOs have to prepare what are the necessary action and initiatives.

Necessary condition and sufficient condition should be met by all NSOs

Necessary condition: minimum set of statistics to be produced as much as possible statistics disaggregated to sub national and other

segment of population accommodating stakeholders interest

Sufficient condition: enhancing national capacity of NSOs applying standard quality of administrative data strengthening the NSS and educating society on the importance of statistics.

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IMPLICATIONS FOR NSOs in responding to post 2015 development agenda (1)

ICT UTILIZATION: Utilizing ICT to improve the efficiency and delivery of

statistical information in a variety of formats to meet customer needs.

With the help of ICT development, NSOs also have to move from a traditional method of collecting data to an integrated environment

The introduction of CAPI, e-survey and other IT-based initiatives in the data collection method could answer some of the issues -- will lead to the presentation of survey results in near real time

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IMPLICATIONS FOR NSOs in responding to post 2015 development agenda (2)

DATA SOURCES: With the help of technology, other data sources such as

administrative data and modern data sources (e.g. big data) may need to be taken into account in the future to fill the gap between the user demand and data availability

With regard to the growing issue of the use of “Big Data” as one of the new sources of data to monitor development goals as advocated by the HLP, all NSOs should take a necessary response by putting it in the national agenda of each NSO

As there might be big discrepancies that will emerge between Big Data and official statistics, NSOs should collaborate more broadly and rethink their role in providing information for policy makers and data users

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IMPLICATIONS FOR NSOs in responding to post 2015 development agenda (3)

STATISTICAL CAPACITY BUILDING: The key for the success of NSOs in responding the global challenge

of the new development framework is national statistical capacity development

The Busan Action Plan for Statistics may be taken into consideration in the statistical capacity building as the plan is very relevant

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Busan Action Plan for Statistics aims to: (i) strengthen and re-focus national statistical strategies to produce the data that support country level development priorities; (ii) improve accessibility of statistics and implement standards enabling full public access to official statistics; (iii) develop programs to increase the knowledge and skills needed to use statistics; (iv) ensure that outcomes of global summits and high-level forums specifically recognize the need for statistical capacity development; and (v) ensure that financing for statistical information is robust (http://paris21.org/busan-action-plan).

IMPLICATIONS FOR NSOs in responding to post 2015 development agenda (4)

BPS-Statistics Indonesia Response to Post 2015 Development Agenda

Enhancing the existing data collection

Conducting new surveys

Innovation in data collection methods

Indonesia

• Indonesia is an archipelagic country in Southeast Asia.• Island : 17,508 (the biggest archipelagic country in the world)• Population 2014: 252.2 millions• It is in a strategic location, between two oceans

(Indian and Pacific) and two continents (Asia and Australia).

• Indonesia has 33 Provinces and 511 Districts.

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Sumatera

Population 54,4 million

Establishment 4,0 million

Java

Population 143,6 million

Establishment 14,5 millionBali & Nusa Tenggara

Population 13,9 million

Establishment 1,2 million

Sulawesi

Population 18,5 million

Establishment*) 1,6 million

Maluku & Papua

Population 6,7 million

Establishment 0,3 million

INDONESIA

Population1) 252,2 million

Establishment2) 22,7 million unitsPopulation and Establishment

Kalimantan

Population 15,0 million

Establishment 1,1 milion

Population and Establishment in Indonesia are concentrated in Java. Approximately 56,9 percent of population and 63,9 percent of establishment are in Java.

1) Based on population projection 2010 - 20352) Based on Economic Census 2006, without

Agriculture sector

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The contents of several surveys have been improved and expanded and new surveys have been developed to enrich information needed for constructing SDGs. Examples:

a. Household Consumption Survey (Susenas):– adjusted to needs for data used for social programmes evaluation and

monitoring, especially poverty– produces basic social indicators at the district level figures annually – attached new variables to Susenas

b. Planning the Labor Force Survey (Sakernas) development:– introduce core-module q'nnaires to produce more detailed and in-depth

information on labor market and labor force infos– proposed module q'nnaires:

(1) informal sector of employment and economy;(2) home-worker based

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ENHANCING THE EXISTING DATA COLLECTION

UPCOMING DATA: Anti-Corruption Behavior Social Capital Indonesia Democracy Index Violence against woman and children Happiness Index Household Behavior to Environmental Changes Pilot Study of People Opinion on Government

Performance Victimization Survey

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CONDUCTING NEW SURVEY

BPS-Statistics Indonesia has adopted new methods and approaches in data collection enabling one to obtain a quick result of surveys. Examples:a. E-SURVEY was adopted in the implementation of the Early Detection of

Global Crisis Impact (EDGCI). Survey conducted quarterly during the period 2011-2013 to monitor the impact of global crisis on selected commodities.

Usability:

Establishments are well informed about the survey in advance, because the information are directly sent to their official email address.

BPS analysts are able to ease the analysis phase, because of the tables and graphs are automatically generated based on the current data submission.

BPS top level managers also have their roles and privileges, so they can get latest updates for the whole progress, including the preliminary results as well as the final result.

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INNOVATION OF DATA COLLECTION (1)

b. QUALITY MONITORING SYSTEM (QMS): BPS has developed and implemented Quality Monitoring System as a

solution for an early warning system for several surveys. QMS is used by BPS for maintaining the quality of surveys and censuses.

This system utilizes SMS Gateway Technology and Web-based Application. SMS Gateway is utilized to submit data from monitoring officer to QMS. Then the information can be accessed by relevant leaders through website.

QMS had been implemented in these following surveys: 2010 Population Census (Sensus Penduduk 2010) 2011 National Socio-Economic Survey (Susenas 2011) 2011 National Labor Force Survey (Sakernas 2011) 2013 Agricultural Census (Sensus Pertanian 2013)

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INNOVATION OF DATA COLLECTION (2)

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• The Post 2015 Development Agenda will heavily depend upon the availability and good quality statistics and information.

• Official statistics play a crucial role in providing data and statistics for tracking the post-2015 development goals.

• The insights and changes prompted by the global change in this fast moving world have pushed all NSOs to adapt the situation and given some urgency to think about innovation in data collection and dissemination.

• Given more variety in indicators to be included in SDGs, enhancing NSOs’ capacity with continuing support from international agencies is the key for the success in responding to global challenges

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SUMMING UP

THANK YOU

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