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The Little Data Book 2012

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  • World Bank

Abstract

The little data book 2012 is a pocket edition of world development indicators 2012. The 216 country tables in the little data book present the latest available data for World Bank member countries and other economies with populations of more than 30,000. For operational and analytical purposes the World Bank's main criterion for classifying economies is Gross National Income (GNI) per capita. Each economy in the little data book is classified as low income, middle income, or high income. Low-and middle-income economies are sometimes referred to as developing economies. The use of the term is convenient; it is not intended to imply that all economies in the group are experiencing similar development or that other economies have reached a preferred or final stage of development. Classification by income does not necessarily reflect development status. Low-income economies are those with a GNI per capita of $1,005 or less in 2010. Middle-income economies are those with a GNI per capita of more than $1,005 but less than $12,276. Lower-middle-income and upper-middle income economies are separated at a GNI per capita of $3,975. High-income economies are those with a GNI per capita of $12,276 or more.

Suggested Citation

  • World Bank, 2012. "The Little Data Book 2012," World Bank Publications - Books, The World Bank Group, number 12255.
  • Handle: RePEc:wbk:wbpubs:12255
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    File URL: https://openknowledge.worldbank.org/bitstream/handle/10986/12255/68170.pdf?sequence=1
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    Citations

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    Cited by:

    1. Stephen Ngige Ng’ang’a & Maurice M. Sakwa, 2015. "Social Factors that Influence Loan Accessibility by Youth Entrepreneurs in Kenya: A Case of Youth Enterprise Development Fund in Gatundu South Constituency," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 5(11), pages 230-248, November.
    2. Kelegama, Saman & Tilakaratna, Ganga, 2014. "Financial Inclusion, Regulation, and Education in Sri Lanka," ADBI Working Papers 504, Asian Development Bank Institute.
    3. Mohamed Samy ElDeeb & Yasser Tawfik Halim & Esmat Mostafa Kamel, 2021. "The pillars determining financial inclusion among SMEs in Egypt: service awareness, access and usage metrics and macroeconomic policies," Future Business Journal, Springer, vol. 7(1), pages 1-19, December.
    4. Tambunan, Tulus, 2015. "Financial Inclusion, Financial Education, and Financial Regulation: A Story from Indonesia," ADBI Working Papers 535, Asian Development Bank Institute.
    5. Sigurdur Gudjonsson, 2017. "The Microfinance Industry," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 143-150, July.
    6. Vijayamohanan, Pillai N. & Asalatha, B. P., 2012. "Measuring Women Empowerment: Dissecting the Methodological Discourse," MPRA Paper 44077, University Library of Munich, Germany.
    7. Bris, Myriam & Pawlak, Jacek & Polak, John W., 2017. "How is ICT use linked to household transport expenditure? A cross-national macro analysis of the influence of home broadband access," Journal of Transport Geography, Elsevier, vol. 60(C), pages 231-242.
    8. Martinez, Stalin & Prieto, Francisco, 2013. "International Trade Commitments as Agents of Reform: The case of mobile telecommunications in Chile," Papers 924, World Trade Institute.
    9. Mohammad Reza Lotfalipour & Mohammad Ali Falahi & Morteza Bastam, 2013. "Prediction of CO2 Emissions in Iran using Grey and ARIMA Models," International Journal of Energy Economics and Policy, Econjournals, vol. 3(3), pages 229-237.

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