Course coordinator
Associate Professor Elin Charles-Edwards
Course overview
- Study period
- Semester 2, 2025 (28/07/2025 - 22/11/2025)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- The Environment School
Explores the application of demographic theory, data and methods of analysis to contemporary real world problems in social and economic planning. There is an emphasis on methods of analysing demographic data & theories of population change, including: for making population projections; analysing local population dynamics, community demography, ageing & the use of demography in planning & business.
This course focuses on understandingﾠlocal and regional population dynamics, and how future demographic developments can be anticipated by producing population and household projections.
During the course students will learn:
- how to access and analyse Australian demographic data;
- how to use demographic forecasting software;
- valuable skills in Microsoft Excel suitable for the workplace; and
- how to produce professional reports
Course requirements
Assumed background
Intellectual curiosity and basic numeracy. The methods taught in this course do not involve sophisticated mathematics or statistics but demography is a quantitative subject and the course does involve frequent reference to numerical data and their manipulation in simple equations. Basic computer literacy, such as familiarity with common Microsoft software, is assumed. Familiarity with Microsoft Excel is an advantage.
Recommended prerequisites
We recommend completing the following courses before enrolling in this one:
GEOG2205
Incompatible
You can't enrol in this course if you've already completed the following:
GEOG7000 or GEOS2202 or MGTS3307
Jointly taught details
This course is jointly-taught with:
- GEOG7000
Lectures for this course are shared with GEOG7000, Applied Demography
Course contact
Course staff
Lecturer
Associate Professor Elin Charles-Edwards
Timetable
The timetable for this course is available on the UQ Public Timetable.
Aims and outcomes
This course aims to enable you to:
- develop a solid understanding of the dynamics of population change.
- acquire knowledge of the methods and data used in the scientific study of population.
- apply relevant tools and concepts to examine contemporary population issues in Australia and globally.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Understand the drivers and patterns of population change
LO2.
Access appropriate data sources and analyse those data with suitable methods and measures
LO3.
Present demographic data, theory and methods in a clear and well-structured manner
LO4.
Make population and household projections for a local area
LO5.
Interpret demographic data and projections and understand their socio-economic implications
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Project | Assessment 1: Creating a demographic dashboard | 30% |
11/09/2025 |
| Project | Assignment 2: Demographic projections report | 30% |
23/10/2025 |
| Examination |
End of Semester Exam
|
40% |
End of Semester Exam Period 8/11/2025 - 22/11/2025 |
A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.
Assessment details
Assessment 1: Creating a demographic dashboard
- Mode
- Product/ Artefact/ Multimedia
- Category
- Project
- Weight
- 30%
- Due date
11/09/2025
Task description
Demographic data is widely used to inform decision-making and monitor change in small areas over time. For this assessment item, you are asked to develop a demographic dashboard in Microsoft Excel to summarise changing socioeconomic characteristics linked to a local planning issue. The audience is a planning practitioner or other non-specialist professional.
Choose one of the following topics:
- Do transport-orientated developments deliver? The success of transport-orientated developments in reducing car dependence
- Families don’t live in apartments, do they? The household composition of emerging high-rise communities
- Population ageing in the suburbs. How do we plan for the age wave?
This task requires you to complete several steps:
- Identify a geographic region (or regions) to focus your analysis on. This should be a Statistical Area Level 2 (SA2) to maximise data availability.
- Create a concept map of the types of demographic data that would be useful to address your topic including the variables to include, whether to use raw or derived measures (e.g. ratios, proportions, percentages?), whether to benchmark the data and the time period to analyse. The course coordinator is happy to provide feedback on single-page concept maps.
- Locate, access, clean relevant data and calculate appropriate metrics using data from the Australian Bureau of Statistics. This will include the creation of new variable categories and the calculation of derived measures.
- Create a dashboard in Excel (an example will be made available on Blackboard). Pay attention to the choice of visuals/graphs you include as well as the overall look of the dashboard. The objective is to communicate effectively. Note the source of data used in each graphical element.
- Write a short introduction to your dashboard ( ~200 words)
- Write a short section (~200 words) on key findings from your analysis. This can be bullet points.
- Include a statement describing your use of Generative AI in this assessment task.
Submission guidelines
Students are required to send a copy of their Excel Dashboard via email to the Course Coordinator (e.charles-edwards@uq.edu.au). You are also required to submit the Dashboard via Turnitin on the course Blackboard site by the due date and time.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (the assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date.
For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
Assignment 2: Demographic projections report
- Mode
- Written
- Category
- Project
- Weight
- 30%
- Due date
23/10/2025
Task description
Your task is to produce population and household projections for Greater Brisbane GCCSA from 2021 to 2051 using the POPART Software and produce a short report on the methods, assumptions and results. You will be instructed in the use of POPART in class practicals.
The report should include:
- A short introduction setting out the context and aims of the report,
- A clear non-technical description of the specific projection methods used.
- A summary of chosen projection data and assumptions, including a comprehensive justification of those assumptions,
- Key features of your population and household projections, including an explanation of the demographic drivers of future population and household change.
- A short conclusion discussing the key findings and their implications.
- A statement on the use of generative AI in this work.
The report should include graphs and other visuals where appropriate. The word limit is 1800 words.
Submission guidelines
Online submission by Turnitin only by the due date and time. No hard copy or assignment cover sheets are required. Submission via email is not accepted.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (the assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date.
For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
End of Semester Exam
- Hurdle
- Identity Verified
- In-person
- Mode
- Written
- Category
- Examination
- Weight
- 40%
- Due date
End of Semester Exam Period
8/11/2025 - 22/11/2025
- Other conditions
- Time limited.
Task description
The final exam will include a mix of multiple choice and short answer questions.
Hurdle requirements
See ADDITIONAL COURSE GRADING INFORMATION for the hurdle relating to this assessment item.Exam details
| Planning time | 10 minutes |
|---|---|
| Duration | 120 minutes |
| Calculator options | Any calculator permitted |
| Open/closed book | Closed book examination - no written materials permitted |
| Exam platform | Paper based |
| Invigilation | Invigilated in person |
Submission guidelines
Deferral or extension
You may be able to defer this exam.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
| Grade | Description |
|---|---|
| 1 (Low Fail) |
Absence of evidence of achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 0% |
| 2 (Fail) |
Minimal evidence of achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 30% |
| 3 (Marginal Fail) |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: The minimum percentage required for this grade is: 45% |
| 4 (Pass) |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 50%. Students who achieve a mark of 50% or greater overall but fail to achieve a minimum mark of 50% in the final exam will receive a grade of 3. |
| 5 (Credit) |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 65%. Students who achieve a mark of 65% or greater overall but fail to achieve a minimum mark of 50% in the final exam will receive a grade of 3. |
| 6 (Distinction) |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 75%. Students who achieve a mark of 75% or greater overall but fail to achieve a minimum mark of 50% in the final exam will receive a grade of 3. |
| 7 (High Distinction) |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 85%. Students who achieve a mark of 85% or greater overall but fail to achieve a minimum mark of 50% in the final exam will receive a grade of 3. |
Additional course grading information
Assessment Hurdle
In order to pass this course, you must meet the following requirements (if you do not meet these requirements, the maximum grade you will receive will be a 3):
- Students must achieve a minimum mark of 50% on the End of Semester Exam.
Supplementary assessment
Supplementary assessment is available for this course.
Should you fail a course with a grade of 3, you may be eligible for supplementary assessment. Refer to the UQ website for information on supplementary assessment and how to apply.
Supplementary assessment provides an additional opportunity to demonstrate you have achieved all the required learning outcomes for a course.
If you apply and are granted supplementary assessment, the type of supplementary assessment set will consider which learning outcome(s) have not been met.
Supplementary assessment can take any form (such as a written report, oral presentation, examination or other appropriate assessment) and may test specific learning outcomes tailored to the individual student, or all learning outcomes.
To receive a passing grade of 3S4, you must obtain a mark of 50% or more on the supplementary assessment.
Additional assessment information
Artificial Intelligence (AI)
Artificial Intelligence (AI) provides emerging tools that may support students in completing assessment tasks 1 and 2. Students may appropriately use AI in completing these assessment tasks. Students must clearly reference any use of AI in each instance.
A failure to reference generative AI use may constitute student misconduct under the Student Code of Conduct.
Turnitin
By submitting work through Turnitin you are deemed to have accepted the following declaration “I certify that this assignment is my own work and has not been submitted, either previously or concurrently, in whole or in part, to this University or any other educational institution, for marking or assessment.”
All students must ensure they receive their Turnitin receipt on submission of any assessments. A valid Turnitin receipt will be the only evidence accepted if assessments are missing. Without evidence, the assessment will receive the standard late penalty.
Applications for Extensions to Assessment Due Dates
Read the information contained in the following links carefully before submitting an application for extension to assessment due date.
For guidance on applying for an extension, information is available here: https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/applying-assessment-extension
For the policy relating to extensions, information is available here (Part D): https://policies.uq.edu.au/document/view-current.php?id=184
Please note the University's requirements for medical certificates here: https://my.uq.edu.au/information-and-services/manage-my-program/uq-policies-and-rules/requirements-medical-certificates
Learning resources
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources
Library resources are available on the UQ Library website.
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
| Learning period | Activity type | Topic |
|---|---|---|
Week 1 (28 Jul - 03 Aug) |
Lecture |
Week 1 Introduction to demography In this introductory lecture, we cover the basics of demography, the study of populations. We learn about key concepts such as how populations change through fertility, mortality, and migration. We differentiate between stocks (the population at a specific time) and flows (changes in population over time). We also examine age, period, and cohort effects to understand how different factors influence populations. We explore various population data sources, including censuses and surveys, and introduce important metrics used to measure population change over time. Learning outcomes: L01, L02, L05 |
IT Computing |
Week 1 Demographic basics In our first computer lab session, we will develop essential skills in demographic analysis. This includes calculating growth rates, accessing demographic data, and visualizing population age/sex structures using population pyramids. These foundational techniques will help you understand and analyze population dynamics effectively. Learning outcomes: L01, L02, L03 |
|
Week 2 (04 Aug - 10 Aug) |
Lecture |
Week 2 Spatial heterogeneity in populations In this week's lecture, we will incorporate geography into our understanding of populations. We will examine the spatial heterogeneity of key population characteristics and explore the reasons behind these variations. Additionally, we will delve into data sources available in Australia and learn about metrics that capture spatial differences. This will enhance our comprehension of how populations vary across space. Learning outcomes: L01 |
IT Computing |
Week 2 Accessing Census data In this week's computer session, we will learn how Census data is applied in urban planning, consumer marketing, social service allocation, and the functioning of electoral systems, among other uses. We will explore the Australian Statistical Geography Standard and gain skills in accessing and presenting Census data. This knowledge is essential preparation for your first assessment task. Learning outcomes: L01, L02, L03 |
|
Week 3 (11 Aug - 17 Aug) |
No student involvement (Breaks, information) |
Week 3 Royal Queensland Show Holiday (The Ekka) |
IT Computing |
Week 3 Telling a story with demographic data This week's lab session provides essential guidance for completing your first assessment item. You'll have the opportunity to explore exemplary demographic dashboards, gaining valuable insights. Additionally, you'll receive detailed instruction on visualizing demographic variables, including selecting appropriate graphs and utilizing mapping tools in ArcGIS Online. |
|
Week 4 (18 Aug - 24 Aug) |
Lecture |
Week 4 Fertility Birth rates are rapidly declining in many parts of the world but remain persistently high in others. This week's lecture investigates fertility, including definitions, measurement, and trends across space and over time. Learning outcomes: L01 |
IT Computing |
Week 4 Measuring fertility This week, we'll crunch the numbers to understand the number of babies being born in Australia and how it's been changing over time. We'll discuss how COVID-19 might have influenced recent trends and make some forecasts about what's next for fertility. This workshop's content provides a crucial foundation for your second assessment task. Learning outcomes: L01, L02 |
|
Week 5 (25 Aug - 31 Aug) |
Lecture |
Week 5 Mortality Mortality studies contribute to our understanding of demographic trends and population dynamics. By analyzing mortality rates and life expectancy, demographers can make projections about population growth, ageing, and future healthcare needs and understand existing patterns of inequality. This week, we will learn about key metrics and models applied to mortality, including the life table and explore patterns and trends across space and over time. Learning outcomes: L01, L02 |
IT Computing |
Week 5 Measuring mortality In this week's workshop, you'll calculate a range of mortality metrics to explore shifts in Australian mortality over time. Additionally, you'll construct a life table to deepen your understanding of its structure and function. Learning outcomes: L01, L02 |
|
Week 6 (01 Sep - 07 Sep) |
Lecture |
Week 6 Understanding migration Migration has a profound impact on both individuals and the populations of nations and regions. However, it is also the most complex component of demographic change to measure. In this week's lecture, we will explore the concept of migration, its measurement, its spatial patterns and its links to individual life courses. Learning outcomes: L01, L02 |
IT Computing |
Week 6 Measuring migration In this week's workshop, you will analyze migration data for Australia. You will learn how to calculate key summary migration metrics from origin-destination matrices and understand how to interpret them effectively. Learning outcomes: L01, L02 |
|
Week 7 (08 Sep - 14 Sep) |
Lecture |
Week 7 The demography of a housing crisis Population growth has often been cited as a primary driver of the current housing crisis, but the reality is more nuanced. This week, we delve into the field of housing demography to gain insights into the current state of the Australian housing system. Learning outcomes: L01, L02 |
IT Computing |
Week 7 Understanding household statistics from the census In this week's workshop, you'll explore spatial variations in Average Household Size using census data. Additionally, you'll analyze differences in the rate at which young people head households. We'll discuss the factors driving these trends and their implications for the current housing crisis. Learning outcomes: L01, L02 |
|
Multiple weeks From Week 8 To Week 11 |
Lecture |
Week 8 - Week 11 Population projections Population projections are vital for policy, economic, and social planning. They inform resource allocation, policy development, and service provision in areas such as healthcare, education, and infrastructure. Businesses use projections to guide investment decisions and market strategies. Urban planners rely on them to anticipate spatial growth and plan infrastructure. Additionally, projections aid in natural resource management and environmental planning. By forecasting future demographic trends, societies can prepare for changing needs and challenges, ensuring sustainable development and effective allocation of resources. Over the next few weeks, we will develop our understanding of the projections process and use this to project the population of Greater Brisbane out to 2051. Note that Week 8's lecture will be prerecorded. All other lectures will be face to face as usual. |
IT Computing |
Week 8 - Week 11 This module of work guides you through the production of small-area population projections for Greater Brisbane using the POPART model. This work forms the core of the second assessment task. Learning outcomes: L01, L02, L04, L05 |
|
Week 12 (20 Oct - 26 Oct) |
Lecture |
Week 12 Indigenous and Ethnic Populations This lecture explores their Indigenous and ethnic demographies, highlighting challenges such as health disparities and socioeconomic inequality. We delve into the complexities of Indigenous identity and sovereignty, emphasizing the importance of Indigenous perspectives in research and policymaking. Learning outcomes: L01, L02 |
IT Computing |
Week 12 The deficit model and Indigenous statistics In this week's workshop, we'll explore the deficit model of Indigenous statistics, which wrongly portrayed Indigenous peoples as deficient and in need of external fixing. Using data from the Australian Bureau of Statistics, we'll generate various statistics on Indigenous populations. Through reflection, we'll assess whether our approach perpetuates the deficit model, aiming to shift towards more respectful and empowering methods of representing Indigenous communities. Learning outcomes: L01, L02 |
|
Week 13 (27 Oct - 02 Nov) |
Lecture |
Week 13 In this week's session we will review the course material and begin exam preparation. Learning outcomes: L01, L02, L03, L04, L05 |
Policies and procedures
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments for Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.