"objective demographic" is a valid phrase in written English.
It can be used to describe a specific group of people that share certain characteristics or traits. Example: "The marketing team conducted research on the objective demographic of young professionals in urban areas." This sentence implies that the research was focused on gathering information about a specific group of people, namely young professionals living in urban areas. The word "objective" suggests that the research was unbiased and based on facts rather than personal opinions or assumptions.
Miranda and Abe's families are, by any objective demographic measure, nearly identical, but the tiny differences that separate them, evident in the architecture and décor of their respective houses, imply an unbridgeable chasm of taste.
However, population moving to urban areas and lifestyles changing force to focus on objective demographic analysis to determine a prospective vision of potentialities to ensure blood supply.
Moreover, there are no comprehensive data available on the effects of objective demographic factors, such as age and gender and of objective clinical factors determined by the dental surgeon, such as cariological and periodontal conditions influencing patients' perception on OHRQoL.
The studies also were diverse in terms of sleep-related outcome measures (subjective versus objective) and demographic composition.
Objective To examine demographic and psychosocial factors that predict healthful dietary change.
Objective: To establish demographic data and to compare attitudes and motives between female and male gamete donors.
Currently the Office of the National Coordinator for Health Information Technology ONCHITT) is considering whether to include sexual orientation and gender identity in the Stage 3 "meaningful use" guidelines as a core demographic objective.
A statistical sector, which is comparable to the census tract level in the Anglo-Saxon system, is the smallest administrative level at which objective administrative data (demographic, social, and economic indicators) are available.
Rather than using two patient populations comparable in all parameters, a cross-sectional analysis based on the random population sample was used to obtain an objective insight into demographic, clinical and personal parameters of the two populations.
This discrepancy between the objective of inferring demographic connectivity for conservation biology and management purposes and the limitations inherent to most population genetic approaches has motivated several reviews in the field (Waples and Gaggiotti 2006; Broquet and Petit 2009; Hellberg 2009; Lowe and Allendorf 2010).
Objectives: To identify demographic risk factors for either birthweight >4 kg or over the 90th centile and to quantify the obstetric risks.
