PPI Blog

Frank Ballard's picture
Frank Ballard
• 04/27/15
• 0 Comments

One child in ten thousand in Sub-Saharan Africa is blind due to cataracts. In developed countries, cataract blindness is a very treatable condition. However, in Malawi, despite efforts to offer free cataract surgery to children in need, at least a third of cataract blind children identified at outreach clinics do not seek surgery within three months of being identified. Uptake of this free medical service remains concerning. There were a number of reasons identified by researchers for this problem:

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Elaine Chang's picture
Elaine Chang
• 04/22/15
• Posted in Data Collection
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Cross-posted from TaroWorks' Blog

TaroWorks now enables you to see Progress out of Poverty Index (PPI) results with built-in reports and dashboards. In addition to accessing all PPI scorecard questions through TaroWorks’ survey library, organizations can now see aggregated results as surveys are submitted.

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Frank Ballard's picture
Frank Ballard
• 04/19/15
• 0 Comments

The Committee on Sustainability Assessment (COSA), a global consortium that researches and promotes science-based impact assessment tools for agricultural producers, has released a synthesis of its 2013 report “Testing the Progress out of Poverty Index in the COSA Platform.” In 2012, COSA realized that a widely-applicable poverty assessment tool would complement its own suite of tools, and this report presents the findings of its review of tools and testing of the PPI.

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Frank Ballard's picture
Frank Ballard
• 03/13/15
• 0 Comments

1. Average poverty likelihoods, not PPI scores.

To calculate a poverty rate for a group of individuals, first convert each individual’s PPI score to a poverty likelihood using the Look-up Table. Second (and finally) average all of the poverty likelihoods to calculate the poverty rate. This simple method is the only way to accurately calculate a poverty rate estimate using the PPI.

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Frank Ballard's picture
Frank Ballard
• 02/11/15
• 0 Comments

Many smallholder farmers in Eastern Kenya are at a disadvantage when selling their crops on the market. They tend to lack adequate storage for their crops, as well as access to financial services and integration into the market. Due to these factors, poorer farmers often sell their crops at harvest to earn much needed income, when markets are flooded and crop prices are low.

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Lindsey Longendyke's picture
Lindsey Longendyke
• 09/12/14
• Posted in data analysis
• 0 Comments

Perhaps one of the most exciting and appealing uses of the Progress out of Poverty Index is what we call a “poverty movement analysis.” When an organization collects PPI data from its clients over the course of multiple years, it can compare poverty rates between two points in time to determine if, on average, clients’ poverty levels are improving. For any organization with a mission to reduce poverty, this analysis is critically important.

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Julie Peachey's picture
Julie Peachey
• 07/28/14
• Posted in agriculture
• 0 Comments

This article was originally published on the Huffington Post

Thomas Jefferson once said: "Cultivators of the earth are the most valuable citizens. They are the most vigorous, the most independent, the most virtuous, and they are tied to their country and wedded to its liberty and interests by the most lasting bands."

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Alex Murray's picture
Alex Murray
• 07/22/14
• Posted in ppi implementation, Kenya
• 0 Comments

Are we fulfilling our mission? How do we implement our vision?

When steering an organization, continual review of strategic objectives is essential to ensure managerial decisions align with the mission statement and long-term vision. Faced with day-to-day operational pressures, how can leadership ensure its decisions correlate with its stated mission?

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Lindsey Longendyke's picture
Lindsey Longendyke
• 04/02/14
• Posted in research, financial inclusion
• 1 Comment

InterMedia is a nonprofit organization that specializes in research and evaluation. InterMedia has partnered with the Bill and Melinda Gates Foundation’s Financial Services for the Poor program to research how people – especially the poor – make use of mobile money and other digital financial services.

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