|Page tools: Print Page Print All|
For further discussion on these challenges see Our changing world.
HOW TO IDENTIFY A POPULATION GROUP IN DATA COLLECTIONS
For statistical purposes, people can be classified into population groups based on their characteristics such as their age, sex, country of birth, where they live, or their employment status. For example, information on where people live can identify people who live in remote areas. When this information is used in a data collection which also collects information on employment status, the labour force experience of those people, e.g. people living in remote areas can be analysed. Additional information such as ‘period of residence’ can also be added to allow more detailed analysis on employment status based on how long people have lived in that remote area, for example.
It's important to consider quality dimensions for analysis purposes. For example, ensuring you define the subpopulation in such a way that it aligns with your analytical purposes. This may require consideration of several aspects covering age, sex, geography, etc. and all these aspects need to be available in your data source. Defining your subpopulation group so there is sufficient people to ensure quality analysis is another important consideration.
By using standard classifications to identify particular population groups, information can brought together from different data sources, or from the same data source over time. This allows the wellbeing outcomes of these groups to be analysed in more depth.
WHAT IS A CLASSIFICATION?
A classification groups data into meaningful categories. A well constructed classification has categories that are mutually exclusive and exhaustive. Each category of a classification also has a description and a unique code to enable users to identify the category. Classifications promote data comparability across data sources. They are used in:
The ABS uses and maintains many classifications.
The notion of vulnerability is a broad one, encompassing a variety of meanings. The word describes those who are physically or psychologically disadvantaged. In its broadest sense, the notion of vulnerability hence refers to the situation of individuals, households or communities who are exposed to potential adversity from one or more risks. It also refers to the general lack of resilience of these people or groups to the damage resulting from an adverse shock. (Measuring Vulnerability and resilience in OECD Countries, 2011).
By analysing information about vulnerable population groups, the underlying causes of the vulnerability can be addressed, such as:
Why some vulnerable people are more resilient to change or have better outcomes than others can also be examined.
Sen, A. 2005, Human Rights and Capabilities, Journal of Human Development, Vol. 6 No. 2 - The concept of opportunities in this context is based on the idea of 'capability' and (i) whether a person is actually able to do things [they] would value doing, and (ii) whether [they] possess the means or instruments or permissions to pursue what [they] would like to do ([their] actual ability to to do that pursuing may depend on many contingent circumstances).
Measuring Vulnerability and resilience in OECD Countries, 2011 - The paper uses an “assets based” framework, focusing on the resources that individuals and households can draw upon to reduce vulnerability and strengthen their resilience to a range of different risks.
These documents will be presented in a new window.
4160.0.55.001 - Frameworks for Australian Social Statistics, Jun 2015
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 24/06/2015 First Issue