The simplest method of collecting EquityTool data is to sign up to our web app. To use the EquityTool in DHIS2 or another data collection platform, you will need to download the supporting file. Click on your preferred data collection method and complete the form to receive the file via email. Please check your junkmail folder if you do not receive an email from us.

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      EquityTool: Released September 17, 2018

      Source data: Somaliland MICS 2011

      # of survey questions in original wealth index: 33

      # of variables in original index: 82


      # of survey questions in EquityTool: 12

      # of variables in EquityTool: 12




       QuestionOption 1Option 2
      Q1Does your household have … electricity?YesNo
      Q2… a radio?YesNo
      Q3… a television?YesNo
      Q4… a bed?YesNo
      Q5… a sofa?YesNo
      Q6… a Somali stool?YesNo
      Q7… a sitting cushion / pillow?YesNo
      Q8Does any member of your household own a watch?YesNo
      Q9What type of fuel does your household mainly use for cooking?YesOther
      Q10What is the main source of drinking water for members of your household?Piped into dwellingOther
      Q11What is the main material of the floor in your household?Earth / sandOther
      Q12What is the main material of the exterior walls of your household?Stone with lime / cementOther


      Technical notes:

      The standard simplification process for the EquityTool relies upon the existence of analyses done separately for urban and rural areas.  The original wealth index for the Somaliland MICS 2011 dataset did not include a separate urban analysis. An urban index was created based on the variables used in the national analysis. The data used to identify important variables comes from the factor weights obtained after reconstruction of the MICS wealth index using analytical syntax provided by UNICEF. Initially, the simplification process produced a simplified questionnaire of only 8 variables with kappa greater than 0.75 for both the national and urban indices when comparing agreement among the bottom 40%, middle 20% and top 40% of the population’s wealth; however, this solution provided little separation between the bottom two quintiles. Questions were added such that the simplified questionnaire was able to sufficiently distinguish between Q1 and Q2.  Kappa was greater than 0.75 for the national and urban indices. Details on the standard process can be found in this article.

      Level of agreement:


      National Population


      Urban only population


      % agreement89.8%87.9%
      Kappa statistic0.8410.812


      Respondents in the original dataset were divided into three groups for analysis – those in the 1st and 2nd quintiles (poorest 40%), those in the 3rd quintile, and those in the 4th and 5th quintiles (richest 40%). After calculating their wealth using the simplified index, they were again divided into the same three groups for analysis against the original data in the full MICS. Agreement between the original data and our simplified index is presented above.

      What does this mean?

      When shortening and simplifying the index to make it easier for programs to use to assess equity, it no longer matches the original index with 100% accuracy. At an aggregate level, this error is minimal, and this methodology was deemed acceptable for programmatic use by an expert panel. However, for any given individual, especially those already at a boundary between two quintiles, the quintile the EquityTool assigns them to may differ to their quintile according to the original MICS wealth index.

      The graph below illustrates the difference between the EquityTool generated index and the full MICS wealth index. Among all of those people (20% of the population) originally identified as being in the poorest quintile, approximately 16.2% are still identified as being in the poorest quintile when we use the simplified index.  However, approximately 3.8% of people are now classified as being in Quintile 2.  From a practical standpoint, all of these people are relatively poor. Yet, it is worthwhile to understand that the simplified index of 12 questions produces results that are not identical to using all 33 questions in the original survey.

      The following table provides the same information on the movement between national quintiles when using the EquityTool versus the original MICS wealth index:

        EquityTool National Quintiles
        Quintile 1Quintile 2Quintile 3Quintile 4Quintile 5Total
      Original MICS National QuintilesQuintile 116.2%3.8%0.1%0.0%0.0%20.1%
      Quintile 25.5%11.3%3.4%0.0%0.0%20.1%
      Quintile 30.2%3.5%14.5%1.5%0.0%19.8%
      Quintile 40.0%0.0%1.5%16.3%2.2%20.0%
      Quintile 50.0%0.0%0.0%2.3%17.7%20.0%


      The following graph provides information on the movement between urban quintiles when using the EquityTool versus the original MICS wealth index:

      The following table provides the same information on the movement between urban quintiles when using the EquityTool versus the original MICS wealth index:

        EquityTool Urban Quintiles
        Quintile 1Quintile 2Quintile 3Quintile 4Quintile 5Total
      Original MICS Urban QuintilesQuintile 116.6%1.1%0.0%0.0%0.0%17.6%
      Quintile 23.3%14.6%1.0%0.1%0.0%19.0%
      Quintile 30.0%4.4%14.4%1.8%0.1%20.6%
      Quintile 40.0%0.0%4.5%13.7%3.2%21.4%
      Quintile 50.0%0.0%0.2%4.3%16.8%21.3%


      Data interpretation considerations:

      1. This tool provides information on relative wealth – ‘ranking’ respondents within the national or urban population. The most recent available data from the WorldBank indicates that 29.7% of people in urban Somaliland and 37.0% of people in rural Somaliland live below $1.90/day[1]. This information can be used to put relative wealth into context.
      2. People who live in urban areas are more likely to be wealthy. In Somaliland, 34.2% of people living in urban areas are in the richest national quintile, compared to only 1.4% of those living in rural areas[2].
        1. If your population of interest is predominantly urban, we recommend you look at the urban results to understand how relatively wealthy or poor they are, in comparison to other urban dwellers.
        2. If the people you interviewed using the EquityTool live in rural areas, or a mix of urban and rural areas, we recommend using the national results to understand how relatively wealthy or poor they are, in comparison to the whole country.
      3. Some regions in Somaliland are wealthier than others. It is important to understand the country context when interpreting your results.
      4. In most cases, your population of interest is not expected to be equally distributed across the five wealth quintiles. For example, if your survey interviewed people exiting a shopping mall, you would probably expect most of them to be relatively wealthy.

      Metrics for Management provides technical assistance services to those using the EquityTool, or wanting to collect data on the wealth of their program beneficiaries. Please contact and we will assist you.


      [1] From the 2015 Somaliland Poverty Assessment at, reporting Poverty headcount ratio at $1.90/day at 2011 international prices.

      [2] From the Somaliland dataset household recode, available at