Loglinear modelling techniques were used to identify the interactions and interrelationships underlying
categorical environmental concern data collected from 9062 respondents in Iran. After fitting various
loglinear models to the data, the most parsimonious model highlighted that a combination of interacting
factors, namely educational attainment, age, gender, and residential location were responsible for influencing
personal concern for the environment. Although high educational attainment had a close correspondence
with high concern for the environment the loglinear results, when visualized with
a geographical information system, demonstrated wide spatial variations in educational attainment and
concern for the environment. Nearly two-thirds of the respondents were not highly educated, and were
therefore not highly concerned for the environment. The finding that both rural and urban male and
female respondents in the 15e24 years age category, with 10e12 years of education, had the strongest
interaction with personal concern for the environment could be beneficial for policy planners to utilize
education as the primary instrument to enhance environmental governance and prospects for sustainable
development