Information and services delivered through mobile phones, ‘m-services', have transformative potential to provide rural African farmers with important agro-meteorological information. However, a greater understanding is needed regarding the types of m-services available to farmers, how farmers access that information, and possible factors affecting m-service use. With a study of smallholder farming communities in central Kenya, we examine factors affecting the likelihood of Kenyan farmers’ adoption of m-services specifically related to agriculture and livestock information, buying and selling products, and alerts about agricultural or livestock activities. According to a survey of 577 farming households, 98% of respondents own a mobile phone. Approximately 25% use it to access information about agriculture and livestock, 23% access information about buying and selling products, and 18% receive alerts. Personal smartphone ownership increases the likelihood of m-services use (p < .001), as does membership in farmer organizations (p < .001). We find that age and income are not significantly related to m-service use, and we discuss this result in terms of intersections between smartphone ownership, gender, and education. Consistent with prior qualitative research, our quantitative results further support the need for m-services providers to design for basic or feature phone users for improved dissemination of agro-meteorological information.

This figure depicts the gendered patterns of educational expansion across Africa. The horizontal axis displays educational access, and vertical lines represent educational gender gaps for 267 country-specific birth cohorts, representing adults born between 1941 and 1992 in 32 African countries. The gaps take on an almond shape. In early stages of educational expansion, boys enter school at higher rates than girls; female enrollment begins to catch up only when at least half of the cohort attends school. Cohorts with the lowest educational access are disproportionately located in West Africa, and most higher-access cohorts are in central and southern Africa. In more than 30 percent of cohorts from central and southern African countries, girls surpass boys in rates of basic educational participation. Africa’s gender inequality is structured not only by regional context and temporal trends but also by a country’s position along the spectrum from scarcity to abundance of educational opportunities.

The demographic transition—the process through which declines in mortality precede declines in fertility, leading to a period of population growth and the long-term restructuring of the age composition—holds remarkable power to explain the state of our social world. In this visualization, I employ Brazilian demographic measures dating back to the 1870s to depict the interplay between mortality, fertility, growth rates, dependency ratios, and total population size within a single three-panel figure with a shared time axis. Over the course of nearly two centuries, fertility and mortality differentials contribute to a staggering 18-fold increase in Brazil’s population size and a dramatic rise in the proportion elderly. Although the data are drawn from a single country, Brazil’s patterns of demographic change are representative of those experienced in many other populations. A graph of demographic transition-era population dynamics alongside an understanding of various world regions’ positions along the x-axis can help to answer innumerable questions of great social importance.

Urbanization is occurring across sub-Saharan Africa (SSA), both from migration and natural growth, and often without urban planning, which can hamper the ability of households to obtain affordable, accessible food. Through stratified random sampling, we collected data from 135 households in Mumbwa, Zambia, to examine the relationship between migration and food accessibility in a small tertiary city. We investigate the relationship between socio-economic characteristics and food access of households that migrated or were more established in Mumbwa, and the spatial characteristics of food access. We find recent migrant households have significantly better food access than non-migrant households and those that migrated earlier. Results from a negative binomial regression suggest that recent migrant households tend to have better existing household wealth, labor assets, and smaller household size. Using spatial analysis we identify a cluster of households with lower food accessibility in an unplanned area of the city with limited basic services. We find non-migrant and migrant households in this cluster, which suggests informal settlements in this size city are settled by both household types alike. These results illustrate the challenge policymakers face in addressing urban food accessibility for all residents, due to the spatial, economic, and social heterogeneity of the phenomenon.