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This policy note is a diagnostic of the state of Nigerian skills and human capital. It seeks to understand the kinds and levels of human capital that Nigeria possesses to support its efforts toward economic competitiveness over the next two decades. It also looks at inefficiencies of the Nigerian skills-building system, including the barriers to growth, barriers to sharing prosperity, and presents policy recommendations and actions to overcome these constraints. The policy note offers key insights into the drivers of the labor market, the underlying analysis of why Nigeria has been unable to reduce its poverty rate over time, the jobs landscape, and the drivers, dimensions, and directions for skills development to transform the Nigerian economy. The emphasis is on directions for public sector responsibility and public-private partnerships. The study reinforces the nexus between the jobs and the employability. Finally, it provides the analytical bases and policy and programmatic directions for the government of Nigeria in keeping with the World Bank country partnership strategy (FY2014-17)

Peruvian households have experienced one of the most prevalent economic shocks due to COVID-19, significantly increasing their vulnerability to food insecurity (FI). To understand the vulnerability characteristics of these households among the Peruvian young population, including the role of the government's response through emergency cash transfer, we analysed longitudinal data from the Young Lives study (n = 2026), a study that follows the livelihoods of two birth cohorts currently aged 18 to 27 years old. FI was assessed using the Food Insecurity Experience Scale. Household characteristics were collected before and during the COVID-19 outbreak in Peru to char-acterise participants' vulnerability to FI. Multivariate logistic regression was used to evaluate the association between government support and participants' vulnerability characteristics to FI. During the period under study (March to December 2020), 24% (95% CI: 22.1–25.9%) of the participants experienced FI. Families in the top wealth tercile were 49% less likely to experience FI. Larger families (>5 members) and those with increased household expenses and decreased income due to COVID-19 were more likely to experience FI (by 35%, 39% and 42%, respectively). There was no significant association between government support and FI (p = 0.768). We conclude that pre-pan-demic socioeconomic status, family size, and the economic disruption during COVID-19 contribute to the risk of FI among the Peruvian young population, while government support insufficiently curtailed the risk to these households. © 2021 by the author. Licensee MDPI, Basel, Switzerland. ; Funding: This research was funded by PROCIENCIA (CONCYTEC/FONDECYT), the British Embassy, the MRC grant (MR/S024778/1) and Newton Fund, grant number 030-2019.

Peruvian households have experienced one of the most prevalent economic shocks due to COVID-19, significantly increasing their vulnerability to food insecurity (FI). To understand the vulnerability characteristics of these households among the Peruvian young population, including the role of the government's response through emergency cash transfer, we analysed longitudinal data from the Young Lives study (n = 2026), a study that follows the livelihoods of two birth cohorts currently aged 18 to 27 years old. FI was assessed using the Food Insecurity Experience Scale. Household characteristics were collected before and during the COVID-19 outbreak in Peru to characterise participants' vulnerability to FI. Multivariate logistic regression was used to evaluate the association between government support and participants' vulnerability characteristics to FI. During the period under study (March to December 2020), 24% (95% CI: 22.1–25.9%) of the participants experienced FI. Families in the top wealth tercile were 49% less likely to experience FI. Larger families (>5 members) and those with increased household expenses and decreased income due to COVID-19 were more likely to experience FI (by 35%, 39% and 42%, respectively). There was no significant association between government support and FI (p = 0.768). We conclude that pre-pandemic socioeconomic status, family size, and the economic disruption during COVID-19 contribute to the risk of FI among the Peruvian young population, while government support insufficiently curtailed the risk to these households.