Open Government Portal
About this information
Open data is defined as structured data that is machine-readable, freely shared, used and built on without restrictions.
The key things to remember about open data are:
- #Availability and access#: the data must be available as a whole and at no more than a reasonable reproduction cost, preferably by downloading over the internet. The data must also be available in a convenient and modifiable form.
- #Re-use and redistribution#: the data must be provided under terms that permit re-use and redistribution including the intermixing with other datasets.
- #Universal participation#: everyone must be able to use, re-use and redistribute. There should be no discrimination against fields of endeavour or against persons or groups. For example, 'non-commercial' restrictions that would prevent 'commercial' use, or restrictions of use for certain purposes (e.g. only in education), are not allowed.
Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, …
Employment estimates by census metropolitan area and class of worker, three-month moving average, unadjusted for seasonality.
Employment estimates by economic region and class of worker, three-month moving average, unadjusted for seasonality.
Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate …
Number of persons in the labour force, unemployment rate, participation rate and employment rate by Montréal, Toronto and Vancouver census …
Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by census metropolitan …
Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, …
Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate …
Number of employees by weekly wage distributions, National Occupational Classification (NOC), type of work and gender, monthly.
Number of employees working overtime (weekly) and average overtime hours by National Occupational Classification (NOC), gender and age group, monthly.