6250.0.25.002 - Microdata: Characteristics of Recent Migrants, Australia, Nov 2013 Quality Declaration 
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 24/10/2014   
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FILE STRUCTURE

The underlying format of the 2013 Characteristics of Recent Migrants TableBuilder file is structured as a single person level file. This person level contains general demographic information about each survey respondent such as their age, sex, country of birth and labour force status as well details of their migration, visa, education, employment and income for recent migrants and temporary residents.

When tabulating data, person weights are automatically applied to the underlying sample counts to provide the survey estimates.

The data items included in the 2013 Characteristics of Recent Migrants TableBuilder are grouped under the following broad headings and subheadings. A complete data item list can be accessed from the Downloads page.

    Image: TableBuilder data item headings

FILE CONTENT

MULTI-RESPONSE DATA ITEMS

A number of questions included in the Characteristics of Recent Migrants Survey (CORMS) allowed respondents to provide one or more responses. These data items can be identified in the data item list from the Downloads tab by the following label <Multiple Response data item>. For example, a person can report more than 1 type of household income, as show below.
    Image: Household income multi response data item

The sum of individual multi-response categories will be greater than the population or number of people applicable to the particular data item as respondents are able to select more than one response, however the total will still remain as the total number of individuals estimated for that particular population of interest. For our example, the sum of the components in the table below is 18,705,800 whereas the total applicable population is 18,294,600 persons.
    Image: Household income data item example

For CORMS the following data items are multiple response:
  • All difficulties experienced finding first job in Australia
  • All difficulties experienced finding job held as at November 2013
  • All sources of help looking for first job in Australia
  • All sources of household income.
CONTINUOUS DATA ITEMS

For CORMS there are a number of continuous data items that are available for selection from Summation Options in the Customise Table pane. Continuous data items are generally those data items that can be measured, written as a value in a specified unit and can be placed in ascending or descending order. For this survey, some examples of continuous data include age (in single years) and hours actually worked in main job (single hours). These continuous items can be used to create sums, medians, means and customised ranges.

All continuous data items can be identified in the data item list by the following label <Continuous data item>.

NOT APPLICABLE CATEGORIES

Most data items included in TableBuilder file include a 'Not applicable' category. The classification values of the 'Not applicable' categories, where relevant, are shown in the data item list in the Downloads tab. The 'Not applicable' category generally represents the number of people who were not asked a particular question or the number of people excluded from the population for a data item when that data was derived (e.g. Year of Arrival in Australia is not applicable for people born in Australia).

TABLE POPULATIONS

The population relevant to each data item is identified in the data item list and should be borne in mind when extracting and analysing data. The actual population count for each data item is equal to the total cumulative frequency minus the 'Not applicable' category.

ZERO VALUE CELLS

Tables generated from sample surveys will sometimes contain cells with zero values because no respondents that satisfied the parameters of a particular cell in a table were in the survey. This is despite there being people in the general population with those characteristics. That is, the cell may have had a value above zero if all persons in scope of the survey had been enumerated. This is an example of sampling variability which occurs with all sample surveys. Relative Standard Errors cannot be generated for zero cells.