Whocounts
@whocounts.bsky.social
Incorporating a missing minority into official EU statistics to better understand the changing profile, drivers and depth of poverty across Europe @igopbcn.bsky.social 🔗 https://webs.uab.cat/whocounts/
Ya estamos en la #REPS2025 en @unirioja.bsky.social donde mañana presentaremos nuestro artículo "Excluidos?" sobre el aumento en la pobreza en hogares unipersonales y sus determinantes sociales, económicos y políticos.
October 23, 2025 at 10:05 AM
Ya estamos en la #REPS2025 en @unirioja.bsky.social donde mañana presentaremos nuestro artículo "Excluidos?" sobre el aumento en la pobreza en hogares unipersonales y sus determinantes sociales, económicos y políticos.
What a week for the project at #ESPAnet2025 where we presented some preliminary findings and much more. Great discussions on welfare states, access to social rights & welfare experiences — thanks to all who engaged with our papers!
August 29, 2025 at 4:32 PM
What a week for the project at #ESPAnet2025 where we presented some preliminary findings and much more. Great discussions on welfare states, access to social rights & welfare experiences — thanks to all who engaged with our papers!
📉 Did you know? EU official statistics exclude individuals not living in private households.
Ranging between 1% and 5% they represent a non-negligible proportion of the population, compromising the accuracy of poverty estimates.
Invisible in data = invisible in policy.
Ranging between 1% and 5% they represent a non-negligible proportion of the population, compromising the accuracy of poverty estimates.
Invisible in data = invisible in policy.
May 20, 2025 at 9:09 AM
📉 Did you know? EU official statistics exclude individuals not living in private households.
Ranging between 1% and 5% they represent a non-negligible proportion of the population, compromising the accuracy of poverty estimates.
Invisible in data = invisible in policy.
Ranging between 1% and 5% they represent a non-negligible proportion of the population, compromising the accuracy of poverty estimates.
Invisible in data = invisible in policy.