The Argentina EquityTool country factsheet and file downloads on this page are licensed under CC BY-NC 4.0

 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 July 12, 2018


      Source data: Argentina MICS 2012


      # of survey questions in original wealth index: 38

      # of variables in original index:  52

      # of survey questions in EquityTool: 13

      # of variables in EquityTool: 13






       QuestionOption 1Option 2
      Q1Does your household have:… a computer?YesNo
      Q2… internet?YesNo
      Q3  … a washing machine?YesNo
      Q4 … a microwave?YesNo
      Q5… a CD player?YesNo
      Q6… a film camera/digital camera?YesNo
      Q7… a telephone (landline)?YesNo
      Q8… DVD player?YesNo
      Q9… a car from the year 2000 or later?  YesNo
      Q10… a refrigerator (without a freezer)?*YesNo
      Q11Does any member of your household have a credit card?YesNo
      Q12What is the main material of the floors in your home?Ceramic, tile mosaic, marble, wood, or carpetOther
      Q13Does your toilet drain…To the public sewer network?To somewhere else?

      *Respondents who possess a refrigerator with a freezer should answer “No” to Q10.


      Technical notes:

      The standard simplification process was applied to achieve high agreement with the original wealth index. Kappa was greater than 0.75 for the national index. Details on the standard process can be found in this article. The data used to identify important variables comes from the factor weights derived from the reconstruction of the MICS Wealth Index using analytical syntax provided to Metrics for Management by UNICEF.

      The MICS wealth index for Argentina is constructed using a slightly different approach than the DHS Wealth Index and other MICS Wealth Indices. Typically, factor weights and wealth scores are derived separately in urban and rural areas, and then combined into a national score using linear regression. In Argentina, the MICS survey was only conducted in urban areas, where 93% of the country’s population resides. Thus, some variables that related to wealth very differently in rural areas than in urban areas, such as livestock ownership, were not included in the original wealth index. The MICS Wealth Index for Argentina is shorter than the average full wealth index, and presents a national wealth index based upon the urban population only.

      Level of agreement:


      National Population


      % agreement84.6%
      Kappa statistic0.759

      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 83% are still identified as being in the poorest quintile when we use the simplified index.  However, approximately 17% 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 13 questions produces results that are not identical to using all 38 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 DHS wealth index:

        EquityTool National Quintiles
        Quintile 1Quintile 2Quintile 3Quintile 4Quintile 5Total
      Original DHS National QuintilesQuintile 116.6%3.3%0.1%0.0%0.0%20%
      Quintile 23.4%12.6%3.9%0.1%0.0%20%
      Quintile 30.0%4.0%12.4%3.6%0.0%20%
      Quintile 40.0%0.0%3.7%14.3%1.9%20%
      Quintile 50.0%0.0%0.0%2.0%18.0%20%

      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 0.6% of people in Argentina live below $1.90/day, 2.4% live below $3.20/day, and 7.8% live below $5.50/day[1]. This information can be used to put relative wealth into context.
      2. In Argentina, 93% of people live in urban areas. The data used to construct the wealth index did not include any rural dwellers. We do not recommend using this tool to interview respondents in areas classified as rural in Argentina.
      3. Some provinces in Argentina 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, reporting Poverty headcount ratio at $1.90/day at 2011 international prices.