Households with Increased Income

Outcome indicator

Indicator Phrasing

number or % of households who increased their income as a result of the project by at least [specify the percentage]
nombre ou % de ménages qui ont augmenté leur revenu en raison du projet d'au moins [précisez le %]
počet nebo % domácností, které si díky podpoře projektu zvýšily svůj příjem o alespoň [určete procento]

Indicator Phrasing

English: number or % of households who increased their income as a result of the project by at least [specify the percentage]

French: nombre ou % de ménages qui ont augmenté leur revenu en raison du projet d'au moins [précisez le %]

Czech: počet nebo % domácností, které si díky podpoře projektu zvýšily svůj příjem o alespoň [určete procento]

What is its purpose?

The indicator assesses the proportion (or number) of target households who – thanks to the external support – increased their income above a certain level. It is a common indicator of income-generating interventions.

How to Collect and Analyse the Required Data

There are two main options of collecting the required data:

  

1) Comparing detailed baseline and endline data: Follow the same procedure as described in the Household Average Income indicator and then compare the baseline and endline data – such process might theoretically be more precise but it is time-consuming.

   

2) Using recall-based data:

    A) if your respondents are relatively well educated – ask them to estimate the amount by which the provided support changed their income

    B) if your respondents are not literate – use participatory methods to estimate the change in the family income (for example, using 10 stones representing the household's income before the support and asking the respondent to add or remove some stones depending on to what extent their income has increased or decreased)

Important Comments

1) If you decide to compare your baseline and endline data, the respondents of your endline survey must be members of exactly the same households that were interviewed during the baseline survey – otherwise you will not be able to determine the difference between their baseline and endline data. This will require having a good system in place to make it easy to find and identify the same households that were involved in the baseline for the endline.

  

2) Keep in mind that your baseline survey needs to use a larger-than-required sample of respondents (increase it by a minimum of 25%) so that even if some cannot be found during the endline survey, you will still manage to interview a representative sample of people.

  

3) Please read the comments included in Household Average Income indicator.

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