2009年-世界发展银行全球_Statistics_for_Small_States___A_Supplement_to_the_World_Development_Indicators_2009_38页_1mb

Summary of Statistics for Small States: A supplement to the World Development Indicators 2009

Core Content

This document is a supplement to the World Development Indicators 2009, providing statistical data for small states, specifically developing member countries of the Small States Forum. It aims to address the lack of adequate statistical information on small, lightly populated developing countries, which are often overlooked in international data collection efforts. The data presented are intended to support policy-making, highlight development challenges, and serve as an accountability mechanism for improving data collection in these countries.

The supplement includes data for 40 countries, excluding high-income members such as Bahrain, Brunei Darussalam, Cyprus, Estonia, Iceland, Malta, Qatar, and San Marino. These countries are characterized by their small populations and limited economic and financial resources, making them particularly vulnerable to natural disasters, environmental changes, and external economic shocks.

Main Points

• Focus on Small States: The supplement highlights the unique challenges faced by small states, including limited capacity for data collection and economic vulnerability.
• Data Compilation: Data are compiled from official national statistical offices and international agencies. Some adjustments are made to increase comparability across countries and over time.
• Economic Indicators: Key economic indicators such as population, surface area, population density, GNI, GDP, and growth rates are included. These indicators are presented in both current U.S. dollars and PPP (purchasing power parity) terms.
• Data Presentation:
  • 0 or 0.0 indicates a value that rounds to zero.
  • < indicates values less than a specified number.
  • Symbols and footnotes are used to denote data limitations or special circumstances.
  • Ranks are not shown for countries where GNI and per capita data are not published.
• Statistical Methods:
  • The World Bank uses the Atlas method for converting currencies to U.S. dollars.
  • PPP conversion factors are derived from the International Comparison Program (ICP), with some countries using extrapolated or imputed data.
  • Growth rates are in real terms, calculated from constant price GDP data.

Key Information

Economic Data Overview

Millennium Development Goals: Eradicating Poverty and Saving Lives

• Indicators: Tables 2 and 3 include indicators for 13 of the 21 MDG targets, focusing on goals 1-4.
• Goal 1: Targets include reducing extreme poverty, achieving employment, and reducing hunger.
• Goal 2: Aims to achieve universal primary education.
• Goal 3: Promotes gender equality.
• Goal 4: Reduces child mortality.
• Data Sources:
  • Poverty rates are shown in table 4.
  • The share of the poorest quintile in national consumption or income is a distributional measure.
  • Employment to population ratio reflects the distribution of employment among population groups.
  • Primary completion rate and gender enrollment ratios are used to monitor education progress.
  • Under-five mortality rate is used to track child mortality.

Notes on Data

• Data Limitations: Some data are not available (.), or are estimated (..), especially for less developed countries.
• PPP Adjustments: PPP rates are used to convert GNI and GDP into international dollars for better comparability.
• Comparability Issues: Due to varying statistical methods and definitions, data may not be fully comparable across countries.
• Growth Rates: Growth rates are calculated in real terms using constant price GDP data in local currency.
• Data Consistency: Readers are advised not to compare data across editions or publications due to potential changes in data sources and methods.

Conclusion

This supplement provides a comprehensive overview of small states' economic and social indicators, emphasizing the importance of reliable data for effective policy-making and development interventions. It underscores the unique challenges faced by these countries, such as limited resources and vulnerability to external shocks, and highlights the need for continued international support and improved data collection.