The phrase "age of housing" is correct and usable in written English.
It can be used to refer to the period or era during which a particular style or type of housing was built or popular.
Example: "The age of housing in this neighborhood reflects the architectural trends of the early 20th century."
Alternatives: "housing era" or "period of housing".
For both the forest canopy model and the turf grass model we used the median age of housing stock as the dependent variable.
We further assess an array of structural explanations for observed racial disparities, including socioeconomic status, type and age of housing, proximity to freeways and smelting plants, and systematic observations of housing decay and neighborhood disorder.
And while the din of new construction can be heard throughout this wealthy enclave of 19,000, about 10 miles east of Philadelphia, artifacts of the last golden age of housing are still very much in evidence.
And the complicated formulas used to divide the money among about 1,200 local governments — based on population, poverty, the age of housing stock and overcrowding — have been criticized as not sending the money to the neediest communities.
To avoid this bias, we also estimated a model using categorical age-of-housing variables.
Because of these inaccuracies, the model presented in Table 3 (which uses a continuous age-of-housing variable) is vulnerable to bias in estimating the year built coefficient.
None of the age-of-housing variables could be included in our multivariate model owing to their high degree of correlation with the proportion moved, which made multicolinearity a concern (R ranging from 0.46 to 0.70 except for median year structure built, which had R=−0.66).
We based our finding that 15.6% of the housing stock in Wayne County was built before 1925 on tax parcel data, which we consider to more accurately represent housing age than homeowner responses to age-of-housing questions posed by the U.S. Census.
Comparisons between flame retardant data and socio-demographic information revealed significant differences in total exposures to both ΣBDEs and ΣOPFRs based on age of house, vacuuming frequency, and family context.
