Usual activity status: proportion of population engaged in different activities
Select appropriate choices in the sidebar and then click the `Analyse` at the bottom to generate the table and chart below. This tab should be used to analyse the usual status data. It shows the proportion of population engaged in different activity statuses. You can divide the population by different classification variables and also subdivide the numerator by different variables. The table can be downloaded as a CSV file.
A numeric "year_numeric" column is included alongside "year" so
line/area/point/smooth charts (which need a numeric or date x-axis)
are available. Its axis is NOT automatically labeled with the round names
here -- use the "Quick trend chart" above
for a chart over years with correct axis labels
Weekly activity: avg days, average hours, average earnings, hours & earnings summary
Select appropriate choices in the sidebar and then click the `Analyse` at the bottom to generate the table and chart below. This tab should be used to analyse the weekly status data. It shows average days, hours of work, and where relevant, average earnings. You can divide the population by different classification variables and also subdivide the numerator by different variables. The table can be downloaded as a CSV file.
For every day of the 7-day reference week, each person is assigned one activity
status (a second, secondary activity recorded the same day only fills in a day
where the first is missing). 'Avg days' is the average number of days (out of 7)
per person in the group spent in that category -- out of the whole population,
regardless of which statuses are checked (it does NOT rescale to sum to 7 across
just the checked statuses); divide by 7 for a percentage. '% of population' is the
share of the group who reported that status on at least one day of the week
(population, not population x 7). The average hours/earnings columns are at the
person-day level, for that row's activity-status category. The last two columns --
'Avg number of 8-hour days' and 'Avg earnings for 8-hour day work' -- re-express that
same category's total hours/earnings (summed across everyone, weighted) in 8-hour-day
units: total hours worked in the category / (8 x number of people who reported it),
and total earnings received in the category x 8 / total hours worked in the category.
Statuses where hours or earnings don't apply as a concept (e.g. no hours or earnings
are recorded on non-work, unemployed, or out-of-labour-force days) show a blank cell
rather than 0 for those columns.
By default no individual activity status is checked -- only the 'All workers' row
(self-employed, regular salaried and casual labour statuses pooled) is shown. Check
'All' to also show a row pooling literally every status, worker and non-worker alike.
Earnings caveat:
this figure combines three different PLFS sources. PLFS
records a daily wage only for casual labour (activity status 41/42/51) --
this is the actual amount earned that specific day
. Regular salaried/wage
employees' pay and self-employed persons' earnings are instead each captured as a
single figure for a longer period -- the preceding calendar month for regular
salaried/wage employees, the last 30 days for self-employed persons. For 'Regular
salaried/wage employee' and 'Self-employed' days, the earnings shown here are that
longer-period figure divided by 30 -- an imputed daily average,
not the actual amount earned that specific day
. These two imputed figures
are not strictly comparable to casual labour's directly-recorded day wage (e.g. they
may smooth over paid leave, a weekly-off built into the salary, or a particularly good
or bad month, and don't reflect this particular week's actual work pattern), and they
also feed the 8-hour-day earnings summary columns.
A numeric "year_numeric" column is included alongside "year" so
line/area/point/smooth charts (which need a numeric or date x-axis)
are available. Its axis is NOT automatically labeled with the round names
here -- use the "Quick trend chart" above
for a chart over years with correct axis labels
Weekly activity probability, conditional on usual-status group
This table computes the probability that a particular group of persons usually engaged in a certain category/categories of activity were employed in the selected activities on any day in the previous week. This probability is then used to measure the days of employment of the selected group. For example, you could use this to estimate days of wage employment of casual workers in a year. Both the numerator and denominator can be classified and grouped in different ways using options provided in the sidebar. The resulting table can be downloaded as a CSV file.Rounding (decimal places) for each column:
A numeric "year_numeric" column is included alongside "year" so
line/area/point/smooth charts (which need a numeric or date x-axis)
are available. Its axis is NOT automatically labeled with the round names
here -- use the "Quick trend chart" above
for a chart over years with correct axis labels
Age cohort analysis of usual activity status profile
Here you can analyse how activity profile of an age-cohort changed over time. You can compare specific age-groups over time, or track how activity profile of a group with a specific age/ages in the base year changed over time. The results can be downloaded as a csv file.Rounding (decimal places) for each column: