The percentages presented are of adults who fall below the threshold of low income measures (LIMs), which are 50% of adjusted median household income. Adjustments reflect the difference in needs of households based on the number of members. Adapted from Statistics Canada, statcan.gc.ca, 2000 ...
Journal of Research in Childhood EducationPowell, D. R., Peet, S. H., & Peet, C. E. (2002). Low income children's academic achievement and partici- pation in out-of-school activities in 1st grade. Journal of Research in Childhood Education, 16, 202-211. doi:10. 1080/...
Objectives: To compare food expenditure patterns between low-income households and higher- income households in the Canadian population, and to examine the relationship between food expenditure patterns and the presence or absence of housing payments among low-income households. Design: Secondary data ana...
The global adoption rate of artificial intelligence (AI) is rising, indicating its transformative potential. However, this adoption is far from uniform, with low-income countries (LICs) trailing behind significantly. Despite needing AI for development, L
(2015). Intensive college counseling and the college enrollment choices of low income students. Retrieved from http://scholar.harvard. edu/files/joshua... B Castleman,J Goodman - Harvard University, John F. Kennedy School of Government 被引量: 0发表: 2014年 Cost-effectiveness of the Clinical ...
proportions of individuals who completed specific levels of education across all low- and middle-income countries12,13,14. By geolocating subnational data for more than 184 million person-years across 528 data sources, we precisely identify inequalities across geography as well as within populations....
The informality rate was 38.7 percent of the employed population, or 39 million people, slightly lower than the 39 percent registered in the three months ending in January and the 38.9 percent registered in the same period of 2023. Regarding income in Brazil, the average salary was 3,151 real...
participants from 48 countries—of which 25 were upper-middle-income and 23 were low-income or lower-middle income (LLMICs)—suggested that those with more education and assets were more likely to be physically inactive and consume insufficient fruit and vegetables and less likely to smoke daily...
Factors predisposing older adults to poor muscle health are low socio-economic status, underlying chronic diseases, poor nutritional intake, and adverse lifestyle (Fig.1). Socio-economic deprivation includes low income and low education level14,15. Chronic diseases which can increase the risk of mus...
Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (...