Changes in Ethnic Composition and Fertility of the Australian Population

Author(s):  
Jo. M. Martins ◽  
Farhat Yusuf
2011 ◽  
Vol 17 (2) ◽  
pp. 92-108 ◽  
Author(s):  
Nasya Bahfen ◽  
Alexandra Wake

The ethnic composition of the Australian population, coupled with the pursuit of a multicultural society at the official level (Ho, 1990) emphasises the nature of the audience for Australia’s media—an audience that is ethnically, culturally and religiously diverse. Yet the content and coverage of the mainstream media does not reflect that diversity particularly in relation to Arabs and Muslims. There are few guidelines for journalism professionals and despite attempts to increase the number of journalists from Muslim or Arab backgrounds in mainstream newsrooms there appears to have been no major paradigm shifts in the way newsrooms cover stories related to Islam. Journalism students at a university in Melbourne completed two newsroom production sessions for one of the city’s major community radio stations, as part of their assessment in a semester-long subject. The researchers examined the students’ choices of interviewee and coded all bulletins produced over a six week broadcast period in 2010. The data will be used to formulate a baseline for the future study of the diversity of talent used by journalism students in the subject, and to see what lessons may be contained for journalism educators, in the breakdown of stories chosen by students and the composition of interviewees contacted by the students.


2020 ◽  
Vol 19 (2) ◽  
pp. 134-148
Author(s):  
Rogelio Sáenz

Demographic shifts have transformed the racial and ethnic composition of the U.S. undergraduate population. Data from the American Community Survey are used to analyze Latino undergraduate enrollment as well as factors that contribute to the matriculation of undocumented Latino young adults. The article concludes with an overview of the implications of the growth of the Latino population and the experience of undocumented students on educational practices and policies.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 63-63
Author(s):  
Ethan Siu Leung Cheung ◽  
Ada Mui ◽  
Seth Hoffman

Abstract Utilizing the data in National Social Life, Health and Aging Project (n = 3,104; 54% female), the study examined the predictors of cognitive impairments in terms of community harmony, community safety, frequency of neighbor contacts, depression, and demographic factors. Bivariate analyses suggest that there were no gender differences in cognitive status (Mean of MoCA Short Form = 9.89; SD = 3.33); nor were there gender differences in age (mean age = 72.95; SD=8.29), ethnic composition (76.1% whites; 15.3% Blacks, 8.6% Asian), community harmony, community safety, frequency of neighbor contacts. On the other hand, men had more education and income than women. Psychologically, older women reported higher level of stress and depression scores than older men. Multiple regression results show that gender has a significant independent effect and joint effects with stressors and community factors in explaining cognitive impairments. Parallel regression analyses for each gender group were conducted and models were significant (P < .0001). There were common predictors of cognitive impairments for the two groups but variables had differential impacts on older men and older women. Specifically, IADL had stronger effect on older men than on older women in predicting cognitive impairments (b = -.23 vs. b=-.10); perceived community harmony had stronger impact on older women in explaining their cognitive status (b = .26 vs. b=.22); older women’s cognitive status benefitted more from perceived community safety than older men (b = .61 vs. b=.43). Regardless of gender, older Whites scored higher than Black and Asian elders in their cognition scores.


Author(s):  
Leah H. Schinasi ◽  
Helen V. S. Cole ◽  
Jana A. Hirsch ◽  
Ghassan B. Hamra ◽  
Pedro Gullon ◽  
...  

Neighborhood greenspace may attract new residents and lead to sociodemographic or housing cost changes. We estimated relationships between greenspace and gentrification-related changes in the 43 largest metropolitan statistical areas (MSAs) of the United States (US). We used the US National Land Cover and Brown University Longitudinal Tracts databases, as well as spatial lag models, to estimate census tract-level associations between percentage greenspace (years 1990, 2000) and subsequent changes (1990–2000, 2000–2010) in percentage college-educated, percentage working professional jobs, race/ethnic composition, household income, percentage living in poverty, household rent, and home value. We also investigated effect modification by racial/ethnic composition. We ran models for each MSA and time period and used random-effects meta-analyses to derive summary estimates for each period. Estimates were modest in magnitude and heterogeneous across MSAs. After adjusting for census-tract level population density in 1990, compared to tracts with low percentage greenspace in 1992 (defined as ≤50th percentile of the MSA-specific distribution in 1992), those with high percentage greenspace (defined as >75th percentile of the MSA-specific distribution) experienced higher 1990–2000 increases in percentage of the employed civilian aged 16+ population working professional jobs (β: 0.18, 95% confidence interval (CI): 0.11, 0.26) and in median household income (β: 0.23, 95% CI: 0.15, 0.31). Adjusted estimates for the 2000–2010 period were near the null. We did not observe evidence of effect modification by race/ethnic composition. We observed evidence of modest associations between greenspace and gentrification trends. Further research is needed to explore reasons for heterogeneity and to quantify health implications.


1989 ◽  
Vol 150 (10) ◽  
pp. 551-558 ◽  
Author(s):  
Robert G. Cumming ◽  
Gillian E. Barton ◽  
Paul P. Fahey ◽  
Andrew Wilson ◽  
Stephen R. Leeder

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