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Spicing up research on sub-national development through open data: Indonesia Data for Policy and Economic Research (INDO-DAPOER)

Also available in Bahasa

It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts. – Sherlock Holmes.
It's a game changer for those working on Indonesia's sub-national development issues. Comprehensive data at the sub-national level is now available to the public through INDO-DAPOER (Indonesia Data for Policy and Economics Research) at DAPOER, which means ‘kitchen’ in Indonesian, is intended to be a ‘place’ where various data are blended, like spices, and cooked to produce analytical works, research papers, and policy notes.

INDO-DAPOER is the first World Bank sub-national database consisting of both province and district level data to be publicly accessible from anywhere in the world. The database provides access to around 200 indicators from almost 500 districts and 34 provinces in Indonesia, which in general go back to the early 1990s and even 1980s for some. The indicators are grouped into four main categories: fiscal, economic, social demographic, and infrastructure. Indicators range from sub-national government revenue and expenditure, sub-national GDP, to specific education, health, and infrastructure indicators such as net enrollment rate for junior secondary, immunization rate, and household access to safe sanitation.

From open data to development impact – the crucial role of the private sector

Prasanna Lal Das's picture

Can open data lead to reduced energy consumption (and therefore slow down climate change)? Can open data help improve maternal health services (and thus improve facets of public delivery of services)? Can open data help farmers and crop insurers make better crop predictions (and thus lead to smarter investment decisions in agriculture)? Can open data empower citizens to fight back against police corruption (and thus help promote the rule of law)?

खुले डेटा से विकास प्रभाव तक — निजी क्षेत्र की महत्‍वपूर्ण भूमिका

Prasanna Lal Das's picture

क्‍या ओपन डेटा (खुला/सर्वसुलभ डेटा) की वजह से ऊर्जा खपत में कमी आ सकती है (और इसलिए जलवायु परिवर्तन धीमा हो सकता है)? क्‍या ओपन डेटा से मातृत्‍व स्‍वास्‍थ्‍य सेवाएं बेहतर हो सकती हैं (और इस तरह सेवाओं के सार्वजनिक वितरण संबंधी पहलुओं को बेहतर किया जा सकता है)? क्‍या ओपन डेटा से किसानों और फसल बीमाकर्ताओं को फसल संबंधी पूर्वानुमान लगाने में मदद मिल सकती है (और इस तरह कृषि में निवेश के अधिक समझदारी वाले निर्णय लिये जा सकते हैं)? क्‍या पुलिस भ्रष्‍टाचार से लड़ने में ओपन डेटा नागरिकों को सशक्‍त कर सकता है (और इस तरह कानून के शासन को प्रोत्‍साहित करता है)?

You asked, we listened - open data now in 18 languages

Maryna Taran's picture
Also available in: 中文 | Español | العربية
We ask users of our open data from around the world to send us feedback. The journalists, researchers, students, developers and others we hear from, frequently ask for one thing: to make data available and accessible to the public in their local language.

A student in Indonesia asking for World Bank data in his local language

We listened, and as part of an effort to expand access to our data, we've translated the most popular 70 indicators from the World Development Indicators into 18 local languages - spoken by over 1 billion people around the world.