The GiveWell Blog

Disability-Adjusted Life Years: Introduction

We’ve had many discussions in the comments about the metric known as Disability-Adjusted Life-Years (DALYs). The DALY essentially converts the burdens imposed by all health issues – from premature death to blindness to injuries – into a single, consistent unit. It is the metric of choice for the Disease Control Priorities Project as well as a centerpiece of the Copenhagen Consensus analysis, and is used widely by the World Health Organization – yet it isn’t, and likely won’t be, the central metric in our analysis.

At this point I want to start a more thorough discussion of why this is. I’m going to start at the beginning, with a full description of what DALYs are (and the different ways of calculating them). Some readers will already be familiar with what’s below, but we want to make sure we clearly describe the metric and give examples of its implications before discussing its strengths and weaknesses.

The most complete account of DALYs I know of is in the Global Burden of Disease report. Page numbers below refer to this report.

The basics: burden of health problems in terms of years of life

A DALY is a measure of the “burden” of a health problem; two common uses of this measure are (a) ranking diseases and risk factors (from most to least burdensome), as the Global Burden of Disease report does, and (b) ranking different interventions (in terms of how much they can be expected to reduce burdens, “per dollar”), as projects including DCPP do. The basic DALY formula is on page 48:

DALY = YLL (Years of Life Lost) + YLD (Years of Life lost due to Disability)

YLL is the more straightforward component. Putting aside discounting/weighting issues (to be discussed later), the death of a male infant (life expectancy 80 years) would be counted as 80 years of life lost, while the death of a 45-year-old female (life expectancy 83.72 years) would be counted as 38.72 years of life lost (see page 402 for the life expectancy figures). Without further adjustments, this implies that the death of a single infant is considered about as bad in and of itself as the death of two adults.

Quantifying morbidity

YLD represents an attempt to convert years of life affected by a disability into the same terms as years of life lost due to premature death. For example:

  • A year spent with blindness (as opposed to a year spent with “normal health”) is counted as 60% as “bad” (i.e., as much burden) as a year of life lost due to premature death. So the metric would count a condition that permanently blinds five 30-year-olds as about equally “burdensome” to a condition that results in the death of three 30-year-olds.
  • A year spent with protein-energy malnutrition to the point of wasting (i.e., being severely underweight) is counted as 5.3% as “bad” as a year of life lost due to premature death. This implies that if a child is malnourished to the point of being severely underweight and having a lower life expectancy (say 30 years), the burden in DALYs is equal to about 51.59 (50 years of life lost due to early death; 30 years of malnutrition * 5.3% = 1.59 YLD), which is about 60% the burden of an infant death.

As for where these numbers come from (why is a year of blindness 60% as bad as a year lost, and a year of wasting 5.3% as bad?), they were obtained through a variety of methods usually involving surveying groups of people on their subjective attitudes (Pg 50 has more on this). The complete list of disability weights – giving a conversion factor for every kind of health condition analyzed by the GBD – is found on pages 119-125.

This basic framework – evaluating all health burdens in terms of “life-years,” with a year lost to death counted as a full year and a year otherwise afflicted counted according to the disability weights – is common to all DALY calculations. In the next post on this topic, I’ll discuss some of the variations between different versions of DALYs; some versions “discount” life-years that are early in a person’s life, late in a person’s life, or far in the future. After that, I will explain what we think the limitations of this metric are as it applies to our work.


  • Copenhagen Consensus Center. Copenhagen Consensus 2008. (accessed April 15, 2010). Archived by WebCite® at
  • Jamison, Dean T. et al., eds. 2006. Disease control priorities in developing countries (2nd Edition) (PDF). New York: Oxford University Press.
  • Lopez, Alan D. et al., eds. 2006. Global burden of disease and risk factors (PDF). New York: Oxford University Press.
  • World Health Organization. Global burden of disease (GBD). (accessed April 15, 2010). Archived by WebCite® at

Next in series:


  • Devon on August 7, 2008 at 7:29 pm said:

    Will you also propose a better alternative? I know you wouldn’t advocate no measurement at all over a metric of some kind, be it somewhat flawed.

  • Holden on August 9, 2008 at 10:55 am said:

    Devon: we certainly advocate measurement. It’s the conversion of all results into a single unit that we generally find unhelpful, especially for our purposes in serving individual donors. To me, hyperfocusing on DALYs is somewhat like publishing the volume of an object when what people want to know is its length, width, and height. Our approach (example) uses a variety of metrics without tying rankings to any single one; we have discussed this approach in the past and will continue to develop and discuss it in the future.

  • aren’t you basically using a single unit in your “lives changed per dollar” metric?

  • Holden on August 13, 2008 at 12:53 pm said:

    Devon: we are not. In the table I linked to, all columns are factored into our decision, although “cost per significant life change” was the only one were able to put a number on. For an example of the fact that we did not rely exclusively on this number, note that Interplast has a significantly lower “cost per significant life change” than Partners in Health, yet we ranked Partners in Health higher.

  • I am trying to make use of the WHO’s recorded death data for all countries. Using Algeria as an example, I wonder if maybe you can clear something up for me. The total deaths from Breast Caner in 2002 for Algeria are 1685, the average life expectancy at birth is 69.4. Without even considering the YLD (Which I assume would be a number greater than 1) the DALY for Algeria’s Breast cancer cases is 116939. However the WHO reports the DALY for Algeria’s Breast cancer cases to be 22000. Do you have any idea why this may be?

  • Holden on July 3, 2009 at 6:14 pm said:

    Hi Tom, a couple of things to bear in mind regarding DALY calculations:

    1. The DALYs attributed to a death are based on the remaining, not total, life expectancy (see pg 48 of Global Burden of Disease 2000).
    2. DALYs are often reported using a discount rate (i.e., valuing life-years saved less when they’re further in the future) as well as an age-weighting adjustment (valuing life-years at some ages more than life-years at other ages). See page 401 of the Global Burden of Disease 2000.

    Your numbers imply around 13 DALYs per death. Depending on the exact DALY formulation being used (your WHO source should specify this), deaths that occur around age 60 or 70 are valued at slightly under 13 DALYs per death. (See page 402 of Global Burden of Disease 2000.) Also note that the YLD per year of non-fatal breast cancer are under .1 (see

    Global Burden of Disease 2000 is available at

    With these considerations in mind, it does not appear that the WHO numbers are necessarily inconsistent.

    Does this help?

  • Yes. Thanks for your reply.

Comments are closed.