deletions | additions       diff --git a/Match_organization_data_with_socio__.md b/Match_organization_data_with_socio__.md  index 7ee8c45..894f1db 100644  --- a/Match_organization_data_with_socio__.md  +++ b/Match_organization_data_with_socio__.md 
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- **Match organization data with socio-economic data on their location.** The information contained in the membership data already provides a number of relevant figures that which  can be used in streetfootballworld’s communications. How For instance, how  many young people are reached by streetfootballworld’s network members is probably one of the most relevant figures. However, these figures can be better communicated if put into perspective by outside data. For instance, if one were to know how many young people could potentially be reached. Collecting external data would allow for creating messages like the following> “streetfootballworld’s member organizations work in 17 of the 20 most deprived areas of the world” or “20% of streetfootballworld’s member organizations work in areas with high gang violence.”