Bleak expectations: the ongoing financial impact of the pandemic:Findings from the 5th Coronavirus Financial Impact Tracker Survey
Notice bibliographique
Résumé
abrdn Financial Fairness Trust | Bleak Expectations 1 abrdn Financial Fairness Trust has commissioned YouGov to conduct a periodic cross-sectional tracker survey on the financial impact of the coronavirus pandemic across the UK.The first four surveys were conducted in April, May and July 2020 and March 2021.The fifth -the findings of which are presented here -was conducted in October 2021.The findings are based on responses from 5,770 individuals about their income, payment of bills, borrowing, debt, savings and ability to pay for other essentials such as food.A team from the University of Bristol analysed the data and produced these findings. OVERVIEWIn October 2021, while four in ten UK households (38%, 10.5 million households) enjoyed high levels of financial wellbeing and were financially secure, more than a quarter (27%, 7 million households) were either struggling to manage (4 million households) or in serious financial difficulties (3 million households).This picture was largely unchanged from April 2020.However, even most financially secure UK households said they were having to spend more because of the rising costs of essentials, highlighting the cost of living crisis facing UK households coming in winter 2021.This fifth edition of the Tracker also took stock of how UK households have fared financially over the 18 months of the pandemic to October 2021.The data confirms that the pandemic has exacerbated the financial resilience gap that already existed prior to March 2020.We found that for every household that saw their financial situation get a little or a lot better (21% of all UK households), two households saw their financial situation get a little or a lot worse (38%).The data suggests that the financial resilience gap could widen even more between October and December 2021, polarising UK households further according to those who have fared worst and best over the course of the pandemic.Among households whose financial situation had already deteriorated substantially, the financial outlook was estimated to be poor or quite poor for 72% of them.The outlook was similarly bleak for single parent households (with 65% estimated to have poor or quite poor financial prospects); those with a disabled householder (66%); households receiving Universal Credit (83%); and workless households receiving Universal Credit (91%).
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».