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Government at a Glance 2017

image of Government at a Glance 2017

Government at a Glance 2017 provides the latest available data on public administrations in OECD countries. Where possible, it also reports data for Brazil, China, Colombia, Costa Rica, India, Indonesia, Lithuania, the Russian Federation, and South Africa. This edition contains new indicators on public sector emploympent, institutions, budgeting practices and procedures, regulatory governance, risk management and communication, open government data and public sector innovation. This edition also includes for the first time a number of scorecards comparing the level of access, responsiveness and quality of services in three key areas: health care, education and justice.

Each indicator in the publication is presented in a user-friendly format, consisting of graphs and/or charts illustrating variations across countries and over time, brief descriptive analyses highlighting the major findings conveyed by the data, and a methodological section on the definition of the indicator and any limitations in data comparability. A database containing qualitative and quantitative indicators on government is available on line. It is updated twice a year as new data are released.

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Serving Citizens Scorecards

This chapter presents, for the first time, a set of scorecards which are designed to shed light on how OECD countries fare in promoting access, responsiveness and quality of services to citizens. These scorecards do not identify which countries have the best public services overall. They summarise key features of countries’ systems on a selected set of indicators based on the OECD Serving Citizens Framework to help identify possible priority areas for actions. These scorecards, which take the form of summary tables, focus on three sectors: health care, education and justice. For each of these three dimensions, a selected set of key indicators are presented. The selection of these indicators is based on three main criteria: 1) policy relevance; 2) data availability; and 3) data interpretability (i.e., no ambiguity that a higher/lower value means a better/worse performance).

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