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Chart: The changing causes of death in low-income countries

Tariq Khokhar's picture
Also available in: العربية | 中文 | Français | Español

Note: Data from World Health Organization Global Health Estimates and as noted in their methodology (PDF) they use the World Bank's Income Classification as of 2014. 

Worldwide, the leading causes of death are changing, and they vary between rich and poor countries. In low-income countries, deaths from communicable diseases such as malaria and HIV/AIDS have fallen, while deaths from non-communicable diseases such as stroke and diabetes are on the rise.

While explanations for these changing causes vary, my colleague Patricio Marquez recently wrote about the global rise in the number of overweight people and people with diabetes.  Patricio notes that this is not only a problem of the rich - or the rich world;  about 80% of people with diabetes live in low- and middle-income countries.  Shifts in society are behind these changes: urbanization is changing traditional diets and lifestyles; and the aging of the population results in the natural deterioration of multiple organ systems which contributes to the onset of diabetes.  

You can explore the data further in this interactive data visualiztion:

European countries making clear progress with Open Data

Tariq Khokhar's picture
Editor’s note: This is a guest blog from Margriet Nieuwenhuis, Eva van Steenbergen and Wendy Carrara on behalf of the European Data Portal. The indicator “Open Data readiness” mentioned in the analysis below is unrelated to the Open Data Readiness Assessment tool developed by the World Bank.
 
The public sector is providing increasing amounts of Open (Government) Data free of charge. Open Data refers to the information collected, produced or paid for by public bodies and can be freely used, modified and shared by anyone for any purpose. In Europe, the maturity of Open Data varies between the countries, as recent research shows. In 2015, the European Data Portal team conducted an assessment of where European countries stood with regard to Open Data. The countries included are the EU Member States (28 countries in total) plus Iceland, Liechtenstein, Norway and Switzerland – further on referred to as the EU28+ countries.
 
Two key indicators have been selected to measure Open Data maturity; Open Data readiness and the maturity of the national Open Data portal. Open Data Readiness looks at the presence of Open Data policies, at the use made of the available Open Data, and at the political, social and economic impact of Open Data. Portal Maturity measures the usability of a web-based Open Data portal with regard to the availability of functionalities, the overall re-usability of data, as well as the spread of data. The two key indicators as well as the sub indicators are depicted in the table below.
Open Data Maturity indicators.

Kenyan firms benefit from increased use of financial services and lower crime-related losses

Silvia Muzi's picture

The private sector continues to be a critical driver of job creation and economic growth. However, several factors can undermine the private sector and, if left unaddressed, may impede development.  Through rigorous face-to-face interviews with managers and owners of firms, the World Bank Group’s Enterprise Surveys benchmark the business environment based on actual experiences of firms.

This blog focuses on surveys conducted of 781 Kenyan firms across five regions (including Nairobi and Mombasa) and six business sectors—i) food, ii) textiles and garments, iii) chemicals, plastics and rubber, iv) other manufacturing, v) retail, and vi) other services.

Under Kenya’s new constitution, the country recently embarked on several major business reforms that promoted a more market-friendly environment. Some examples of positive benefits include boosts in public investment in infrastructure, increased interest from foreign investors, and lowered transaction costs from information technology improvements. The Kenya Enterprise Surveys sheds light on how the country’s private sector fared amidst these reforms.

More firms use financial services than before

According to the Kenya Enterprise Surveys (ES) data, the use of financial services has improved since 2007.  On average, 44% and 41% of Kenyan firms use banks to finance investment and working capital, respectively. The corresponding figures in 2007 were much lower at 23% and 26%. Moreover, the percentage of Kenyan firms with a bank loan is 36%, which is on par with the global average yet higher than the average of countries in the same income group (do note that when this survey was conducted, Kenya was classified as a low income country, having since graduated to a lower middle income country).

New data on Climate Investment Funds and their results

Martin Craig Hall's picture
Also available in: Español | العربية | Français
Readers of this blog site will know that open data is data that can be freely used, re-used and redistributed – it’s legally open and technically open.  Readers of this blog may not know that the $8.3 billion Climate Investment Funds (CIF), are providing scaled-up financing through the Multilateral Development Banks (MDBs) to initiate transformational change toward climate-resilient, low-carbon development in 72 countries worldwide.  And this month, for the first time, the CIF is publishing open data on the results of our Clean Technology Fund (CTF) and our Scaling up Renewable Energy Program (SREP).
 

How open are official statistics?

Shaida Badiee's picture

This is a guest post from Shaida Badiee and Eric Swanson, co-founders of the NGO Open Data Watch, which works on a variety of initiatives at the intersection of Open Data and Official Statistics.

Although "open data" has been a popular rallying cry and many countries, states, even cities, have announced open data initiatives, open access to the important data produced by national statistical agencies remains, at best, limited.

To get a baseline measurement, Open Data Watch conducted in depth assessments of the statistics commonly produced by national statistical systems in 125 mostly low- and middle-income countries. Called the Open Data Inventory (ODIN), results are now available online at http://odin.opendatawatch.com. Global results are shown in Figure 1. In 2015 ODIN found only 10 national statistical offices (NSOs) that satisfied more than 50 percent of the criteria for data coverage and openness. Mexico, at 68 percent was the highest scoring country followed by Mongolia, Moldova, and Rwanda. Uzbekistan at 3 percent was the lowest.

An interactive table of all country scores is available here:
http://odin.opendatawatch.com/report/rankings


 

New online resource spotlights debt statistics news and trends

Parul Agarwal's picture
We're thrilled to share the news about our brand new Online Quarterly Bulletin, which features debt statistics news, trends, and events. Laid out in the format of an e-newsletter, this quarter's issue focuses on:
  • Debt statistics products, coverage, and methodologies
  • External debt trends of 2015
  • International debt statistics-related activities and summaries
One area we'd like to highlight is the interconnection of the many types of debt statistics that the World Bank collects, manages, and disseminates.
 
The World Bank collects annual external debt statistics through the World Bank Debt Reporting System (DRS) and publishes it annually in the International Debt Statistics (IDS) publication. This annual data is complemented by our quarterly external and public debt statistics captured through the Quarterly External Debt Statistics (QEDS) database and the Public Sector Debt (PSD) database.  To help illustrate this interconnection, we've created the below graphic.
 


 

Chart: How Long Does It Take to Register Property?

Tariq Khokhar's picture
Also available in: العربية | Español | Français

Well-designed land administration systems provide reliable information on the ownership of property, making it possible for the property market to exist. Data from Doing Business show that economies with simpler, faster, and less costly processes for property transfers also have on average the highest-quality land administration systems.

What do you think of the all-new data.worldbank.org?

Tim Herzog's picture

Check out the new World Bank Data site at http://beta.data.worldbank.org  - we'd love your feedback.


The new beta.data.worldbank.org

The Bank has been providing free, open access to its development data since the launch of the Open Data Initiative in 2010. Initially, we focused on the popular World Development Indicators data set, but we’ve added lots of datasets since then. But, apart from some changes to make some of the new datasets accessible, the website itself has stayed pretty much the same. That is, until this week!

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