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This paper aims to measure multi-dimensional poverty in Lagos State slums. This study is relevant because slums are becoming a present-day reality for urban cities and it is now paramount to understand the dynamics of deprivations suffered under various dimensions in the slums.

A multi-stage sampling technique is used to sample 400 respondents from five slums (Makoko, Iwaya, Ilaje, IjoraBadia and Amukoko) in Lagos State and information have gotten using a structured questionnaire. The fuzzy set approach to measuring multi-dimensional poverty index (MPI) is used in estimating the MPI for the slums.

The findings from the study show that although all the slums have varying MPI; however, the average MPI for the slums is 0.49. Further findings show that majority of the households are largely deprived in the education dimension, proceeded by the living standards dimension and finally, health dimension.

The current study focused on a few selected slums in Lagos State and findings show that it may be erroneous to absolutely adopt policy implications derived for other major slums in cities around the world.

This study advances the frontier of slum studies in Nigeria by following an analytical path in understanding the degree of poverty in the slums.

Population growth has remained a key issue facing developing economies in the world. While developed countries are experiencing diminished or negative population growth, many countries in sub-Saharan Africa including Nigeria are having population growth above the economic growth rate. With the deadline for the sustainable development goals approaching, attention is increasingly being focused on population growth and human capital development. Extant literature focused on population growth, human resource utilization and economic growth but this study aims to examine the effect of population growth on human resource utilization.

Using secondary data for the period 1990-2018, the study conducted unit root test and co-integration analyses to determine the stationarity and correlation in the long-run in the variables. The study used the error correction model to ascertain the speed at which shocks can be corrected in the long-run. Granger causality test was also carried out to ascertain the direction of causality among the variables.

The empirical results revealed that population growth has a negative and significant effect on human resource utilization. The study also revealed that unidirectional causality runs from employment rate to population growth rate and a unidirectional causality runs from employment growth rate to expected years of schooling. The Nigerian Government needs to not only control population growth but also focus on the quality of education.

The paper provides insights into the relationship between population growth and human capital utilization in Nigeria focusing on the 1986-2018 period.