Are you a student who is studying Geography, GIS, or Spatial Statistics or a mature-aged person seeking to re-enter the workforce? We are looking to train a small team of men and women to use Esri Mapping Software which not only assists us with our mapping business but equips you for your future professional career.
Education Geographics’ Spatial Strategist and Senior Mapper Dr Jeanine McMullan has trained numerous young men and women who have used their mapping skills to secure well-paid careers as Management Consultants for top Four consulting firms, Geography Teachers at High Schools, Town Planners or Professional, full-time Mapping Specialists.
In the second half of the year, casual positions may become available for work on spatial strategy maps, with a focus on transport logistics.
If you are a mature-aged person with a similar background or have experience with Esri software and are seeking to re-enter the workforce on a part-time basis, we would love to hear from you.
To take advantage of this opportunity send us an email providing details and a profile about yourself to admin@elaborate.net.au.
Our EGS Spatial Analyst and Senior Mapper Dr Jeanine McMullan has just recorded a new video.
In the video, headed The Power of the Esri Map Module, Jeanine conveys her sense of excitement at being able to explore innovative new map layers of small-scale data which she can superimpose on EGS catchment maps, so schools can improve how they spatially manage their school to the benefit of their students and their families.
On a practical level, Jeanine and I explain how the layers on an EGS school map can be used to design the most cost-effective school bus routes and stops, based on ease of access from existing students and also from potential additional students, whose families match your school profile.
This means your wrapped school bus can serve as a mobile marketing platform in the most prospective streets in your catchment, as it takes your current students to and from school.
The route design can be adapted annually to changing marketing and logistics strategies, with the new layout downloaded and sent to school drivers or bus companies, and posted on school websites.
Jeanine then shows her genuine enthusiasm for new advanced features in map design which, for example, can help a school begin to estimate the environmental cost in terms of carbon credits of various transport strategies, how to make of use of emergency map layers, showing, for example, flooding risks and fire updates, as well as longer term development plans from your local authorities.
When it comes to their new Weekly Payroll Jobs and Wages series, the ABS this week agreed with our ADS post of October 6, 2020: Newer isn’t always better (reproduced below.)
With their latest payroll data release this week, the ABS announced it would extend the time between the final payroll period and the release date, by around 9 days. The ABS says this will improve the quality of estimates, through reducing the level of imputation (by more than half) and revisions in the most recent weeks of data.
For our explanation from last October, you can read our original post below.
Newer isn’t always Better – Covid Jobs update from John Black, CEO of Education Geographics, October 6, 2020.
A week or so back we provided a profile of how the broader Australian stereotypes were faring under Covid jobs lockdowns and today we’re urging a bit of caution when it comes to rushing to judgement on the latest payroll stats – because newer isn’t always better.
Although they don’t quite put it like this, the Australian Bureau of Statistics and I both agree the payroll stats are like a fine bottle of red … you’re well advised to let them age a little after opening, before taking the first sip and rushing to judgement.
The official explanation is contained in the recent ABS release on the weekly payroll data for the week ending September 5, where you can see a section called data limitations and revisions. You can find the technical explanations through this link.
In this section, the bureau stressed that they were trying to help policy makers during these extraordinary times, by releasing data as close as possible to the period when the activity occurred and then make the data as accurate as possible over time, but incorporating new data when it was received.
This means that the latest data is only about 75 percent to 80 percent complete and can take several months to be fully complete and so the final figures look a lot more attractive after ageing than they do when they’re brand new, as you can see below. Even two weeks of waiting can add one point to the index number for the same release.
So far, so good. But what happens when we check out the profile of the 20 to 25 percent of jobs which come late to the party? Let’s check out our two Stereotype Charts for August 8, with the top one based on the original data and the second one also showing the revised data in yellow bars.
The central thrust of the original data profiles shows the big urban and provincial city Working Families and the younger and more aspirational, outer suburban Swinging Voters both faring relatively well from the impact of the Covid jobs lockdown. By relatively well, we mean relative to a (non-Victorian) Australian average jobs loss of about three percent from mid-March to August 8.
When we take a close look at the changes in index numbers for individual occupations and the suburb profiles for where they tend to live, we see that the industries which tend to improve after revision include the better-paid ones we often find in the Goat Cheese Circle inner suburbs, such as professional consulting, finance, media and real estate.
This means our maps for the loss of jobs across inner suburbs tend to look a lot greener after a month or so, after new employer data has been reported from those employers reporting less frequently than every week.
So, until the ABS has amassed enough single touch payroll data over a few years of relatively stable labour markets, to make regular seasonal adjustments, treat the latest weekly data releases with caution, as the revised data a month or so older, is often more accurate.
Just like an old vine Barossa Shiraz, big data often improves with ageing.
Next update, we’ll take a look at the impact of the Federal Budget on those industries most impacted by jobs lockdowns. Talk to you then.
Australia is predicted to lose a million persons in the next few years, when compared to pre-Covid estimates.
These losses are likely to be highest in suburbs near universities which had previously enjoyed strong population growth, due to recent large intakes of foreign students and very high levels of net overseas migration (NOM).
Education Geographics has been working closely with Australian Development Strategies and Health Geographics to map future spatial population impacts of Covid. The work has been mentored by distinguished Australian economist Saul Eslake.
An Esri map provided through this link https://arcg.is/1yX4qD shows our projected Covid impact by SA2 on pre-Covid population estimates.
More detailed maps of target areas and numbers will be provided on request to clients of EGS, ADS and HGS.
Unfortunately, we cannot accept new school entrants in Term 1, 2021, but we have limited spaces available for new schools in Term 2.
If your school is ready to plan for your post-Covid future, complete the form below and book an interactive experience with our new 2021 Covid-ready App.
Looking back to the dark days of the pandemic in mid-2020, we were able to tell our Principals which families and streets within their catchment needed support during job lock downs. We then charted the jobs recovery by suburbs so school Business Managers could track the recovery in their local economies.
But that was the easy part. Looking Beyond Covid has only just begun.
From 2021 to 2024, EGS schools will need to plan for a future Australia with one million fewer residents than anticipated, due to a 12 month freeze on younger migrants, with flow-through impacts for internal migration and births. We have modelled post-Covid population projections by age groups and suburbs, so EGS school leadership teams have these new student numbers and can plan their futures with greater confidence.
Unfortunately, we cannot accept new school entrants in Term 1, 2021, but we have limited spaces available for new clients in Term 2.
If your school is ready to plan for your post-Covid future, complete the form below and book an interactive experience with our new 2021 Covid-ready App.
JobMaker misses the real target – written by John Black, CEO of Education Geographics, November 17, 2020
Today’s ABS Single Touch Payroll data confirms that JobMaker has come too late to help younger workers displaced by Covid job lockdowns and it is now missing the real target – older workers in retirement and tourist regions.
Outside of Victoria, Australia’s younger workers are already a lot better off than their parents, when it comes to jobs lost due to Covid lockdowns.
The Jobs Index numbers from today’s ABS release (below) shows workers aged 20-29 years are well ahead of their parents’ generation in the mainland states, with the exception of Victoria.
This is because younger workers tend to lose their more casual jobs in food and retail first during downturns, but then typically lead the recovery. This means, as a policy response, that JobMaker has come about four months too late for all Australian states except Victoria, which was held back by its second wave.
The figure below shows job losses for twenty something’s are still quite pronounced in Victoria, as the recovery there from lockdowns has only just begun (fortunately).
Even when we include Victoria in the national index numbers, the figure below, shows that workers less than 20 years of age now have more jobs than they did before Covid. By contrast, the big job losses by age deciles have been among workers aged 60 years and over.
Your humble correspondent has long felt that politicians overreact to the Labour Force stats which show that when a young person loses a job, they join the official unemployment rate and hence dominate news reports, whereas, when an older person loses their job, they tend to leave the official jobs market until they’re sucked back in by local rising demand – particularly for part time tourism and hospitality jobs in regional centres.
This resonates with the views of University of Melbourne economist Professor Mark Wooden who questioned the Federal Government’s focus on subsidising younger jobs, given the substitution effects which would see young persons prioritised over older workers.
“I worry if they (the Government) are somewhat sucked in by the argument that young people have been much worse affected economically,” he told the Financial Review after the Budget move was announced.
“That’s true, but I think that’s true in all recessions. Young people do worse, they lose jobs faster. But they also do better in the recovery.”
Covid Jobs Update from John Black, CEO of Education Geographics, October 12, 2020
Some economists, trade unions and the Labor Opposition say the Federal Government’s JobMaker Budget proposal which subsidises wages only for eligible workers less than 35 years old should be open to eligible workers of any age. They argue that the current policy discriminates against older workers and may be open to job substitution rorts from some employers.
And most Australian voters tend to agree with them.
This week’s Newspoll finds the age-limited JobMaker measure to be unpopular with 57 percent of all voters, 63 percent of older voters and, worryingly for the Government, a clear majority of (mostly older) Coalition voters. Given their concerns and this lack of public support, Labor and the Greens in the Senate can smell a political opportunity and are lining up to give the enabling legislation the death of a thousand committee cuts.
In defending its proposal, the Government draws heavily in Budget Papers on seasonally adjusted data in the monthly ABS Labour Force Survey and points to higher unemployment rates among younger workers. It also uses Government figures of 700,000 persons under 35 years on Jobseeker or Youth Allowance at the end of August.
The problem for the Government in relying on the traditional ABS monthly Labour Force sample of about 50,000 persons is that the series has been sorely tested by the immediate and massive labour market disruption caused by emergency social distancing orders and border closures since mid-March, and then by unprecedented stimulus measures from the Federal Government with JobKeeper and JobSeeker to minimise the impacts of this disruption.
The reliability of data produced by official sources during this somewhat hectic period is illustrated by the fact that the Taxation Office, Treasury and the Government initially estimated 6.5 million Australians would receive JobKeeper at a cost of $130 billion, only to revise the recipients down to 3.5 million and the cost down to $70 billion.
So, some degree of caution is recommended when evaluating Government initiatives involving both taxpayers’ money and big numbers of jobs in the labour market.
Bear in mind here the Labour Force series leverages up a random monthly sample of about 50,000 persons to estimate results for about 13 million Australian workers, which the Government has then used to justify biasing its JobMaker policy in favour of certain age groups less than 35 years old.
The problem for the Government with JobMaker is that these leveraged results are contradicted by the new experimental ABS series based on weekly ATO payroll figures for about ten million real jobs.
If you’re trying to understand the behaviour of 13 million workers and break it into smaller sub-groups or areas, you’d expect to be a lot better off using a weekly sample of 10 million jobs, rather than a monthly sample of 50,000 persons.
Figure 1 below, shows the national summary for age-based August payroll data by index numbers in blue, and a comparable index we constructed for the labour force sample by age groups in green.
Figure 1 shows, that despite definitional differences, the Payroll jobs and Labour Force Survey index values are similar for (combined) all ages, and for those age groups 20-29, 30-39, 40-49 and 50-59 years, with each group containing between 2.3 and three million workers.
And both series confirm the twenty-somethings potentially benefiting from the Government JobMaker wage subsidy scheme are up to three percent worse off than the average worker and worthy of some targeted support, with appropriate safeguards.
A large part of this poor result for twenty somethings is due to the ongoing job lockdowns in Victoria and the Victorian figures pulling down the national results. Clearly, the Commonwealth Government here has thrown a JobMaker lifeline to Victoria, without breaching its obligations to the states which have made a better fist of managing Covid.
But what about the strong public sentiment in favour of extending JobMaker to other age groups, particularly older Australians? The payroll jobs index shows there has been a 5.2% decline in jobs for 60-69-year-olds. Contrastingly, according to the Labour Force series, there has been only a 0.4% decline in employed persons aged 60 years or more, an age group containing about 1.4 million workers.
So, the payroll data paints a grim picture for older workers, but the Labour Force data does not.
We see the reverse picture for the relatively small (about 600,000) group of very young workers aged 15-19 years, with payroll data spot on the national average for all workers, but the Labour Force screaming panic stations, with nearly 13 percent of very young workers losing jobs since the job lockdowns started with the 100th confirmed Coronavirus case in mid-March.
Thanks to the great work done by the ABS since March with the huge volume of data provided by the Australian Taxation Office in the payroll series we can drill down further than the national figures by age, down into age groups by State, shown below in Table 1.
This adds the ingredient missing from the national age-based data and that’s Victoria, where the state figures for all ages trail more than three points behind the national figure and the bulk of these job losses have been experienced by workers under 29 years and above 60 years.
Table 1
In every state, bar Victoria, the under 20s are back up close to or above the pre-Covid index numbers, while those 70 and over are still well below these figures. When we isolate the bigger groups of those in their 20s and their 60s, the position is shown in Figure 2, below.
Figure 2
The evidence here shows that, during a lockdown period, the jobs situation is worst for young people (with lots of jobs lost in food and retail). However, after lockdown, there is faster recovery in the job situation for young people.
For Australia as a whole:
the jobs index value for 60-69-year-olds fell to 93.1 on 18 April and recovered by about two points to 94.8 on 15 Aug.
the jobs index value for 20-29-year olds fell drastically to 85.9 on 18 April but also recovered rapidly to 93.8 on 15 Aug.
in Victoria, which remained in lockdown in August, the jobs index values for both groups have remained low, and are much lower in the younger age group.
Figure 3 shows the big and prolonged slump for twenty-somethings in Victoria, and an identical slump but subsequent recovery for twenty-somethings in Australia as a whole, which of course includes Victoria. Take out Victoria and the twenty-somethings could be about level or narrowly ahead of their grandparents.
Figure 3
Put simply, the evidence supported by the millions of taxpayers in the payroll data series infers that the Government doesn’t need a recovery in jobs for young people; rather it needs a recovery in jobs in Victoria, as the latter would render the former done and dusted.
Your humble correspondent, who has long felt that politicians overreact to the Labour Force stats which show that when a young person loses a job, they join the official unemployment rate and hence dominate news reports, whereas, when an older person loses their job, they tend to leave the official jobs market until they’re sucked back in by local rising demand – particularly for part time tourism and hospitality jobs in regional centres.
This resonates with the views of University of Melbourne economist Professor Mark Wooden who questioned the Federal Government’s focus on subsidising younger jobs, given the substitution effects which would see young persons prioritised over older workers.
“I worry if they (the Government) are somewhat sucked in by the argument that young people have been much worse affected economically,” he told the Financial Review after the Budget move was announced.
“That’s true, but I think that’s true in all recessions. Young people do worse, they lose jobs faster. But they also do better in the recovery.”
In that case, wage subsidies would have a windfall effect by paying for the employment of workers who would have been hired anyway.
For what my views are worth here, I’m backing the weekly payroll data interpretation of the current labour market when it comes to its age profile. And, given most Australians and a majority of Coalition voters agree with me, the Government would be wise to accept Senate amendments broadening JobMaker to all Australians.
“Life is so normal”, the Treasurer reportedly remarked last weekend, after months locked down in Melbourne and quarantined in Canberra, when he visited Sydney and was able to get out of the office and share a coffee with others in Bondi.
Perhaps he needed to look more closely at the ages of those serving him, as the payroll data shows more jobs for the under 20s in NSW now than there was before the Covid lockdowns.
Covid Jobs update from John Black, CEO of Education Geographics, October 6, 2020.
A week or so back we provided a profile of how the broader Australian stereotypes were faring under Covid jobs lockdowns and today we’re urging a bit of caution when it comes to rushing to judgement on the latest payroll stats – because newer isn’t always better.
Although they don’t quite put it like this, the Australian Bureau of Statistics and I both agree the payroll stats are like a fine bottle of red … you’re well advised to let them age a little after opening, before taking the first sip and rushing to judgement.
The official explanation is contained in the recent ABS release on the weekly payroll data for the week ending September 5, where you can see a section called data limitations and revisions. You can find the technical explanations through this link.
In this section, the bureau stressed that they were trying to help policy makers during these extraordinary times, by releasing data as close as possible to the period when the activity occurred and then make the data as accurate as possible over time, but incorporating new data when it was received.
This means that the latest data is only about 75 percent to 80 percent complete and can take several months to be fully complete and so the final figures look a lot more attractive after ageing than they do when they’re brand new, as you can see below. Even two weeks of waiting can add one point to the index number for the same release.
So far, so good. But what happens when we check out the profile of the 20 to 25 percent of jobs which come late to the party? Let’s check out our two Stereotype Charts for August 8, with the top one based on the original data and the second one also showing the revised data in yellow bars.
The central thrust of the original data profiles shows the big urban and provincial city Working Families and the younger and more aspirational, outer suburban Swinging Voters both faring relatively well from the impact of the Covid jobs lockdown. By relatively well, we mean relative to a (non-Victorian) Australian average jobs loss of about three percent from mid-March to August 8.
When we take a close look at the changes in index numbers for individual occupations and the suburb profiles for where they tend to live, we see that the industries which tend to improve after revision include the better-paid ones we often find in the Goat Cheese Circle inner suburbs, such as professional consulting, finance, media and real estate.
This means our maps for the loss of jobs across inner suburbs tend to look a lot greener after a month or so, after new employer data has been reported from those employers reporting less frequently than every week.
So, until the ABS has amassed enough single touch payroll data over a few years of relatively stable labour markets, to make regular seasonal adjustments, treat the latest weekly data releases with caution, as the revised data a month or so older, is often more accurate.
Just like an old vine Barossa Shiraz, big data often improves with ageing.
Next update, we’ll take a look at the impact of the Federal Budget on those industries most impacted by jobs lockdowns. Talk to you then.
The recovery in many jobs was well under way in May. It’s been most pronounced in those hit first in March/April, working in hospitality, young home buyers, young casual workers also studying at TAFE and this is all to the good.
The downturn however continued in May among farming and rural communities, especially fishing (think lobsters in cargo holds of international tourist flights). This has impacted coastal and many rural communities.
The overall picture from March to the end of May shows mainstream suburban families (married, middle aged, with a mortgage and kids at school, two jobs that they really need, and going to church occasionally) to have been much less affected by Covid or by the follow-up lockdowns – down about five percent. These are the groups which weren’t picked up in the polls before the last election and which re-elected Scott Morrison as PM.
The groups in deepest trouble (ten percent plus loss over jobs) over the period March to May were – despite a recovery in May – still the workers in casual hospitality and arts & rec jobs (agnostics, twenty somethings, living in small rental units, single, agnostics, no kids, Green voters).
So, good is down only five percent and getting better slowly. Bad is ten percent and getting worse slowly. Spatially, Tasmania looks pretty awful, as do many rural and coastal communities, but the really horrible bits on the map are the inner-city suburbs, particularly in Melbourne and Sydney, where Covid cases have been most concentrated.
Because the jobs lost in many cases have been second or third casual jobs and less well paid, the impact of jobs lost to the economy has been a bit overstated and has actually increased average incomes per job in many suburban areas, especially with large public sector payrolls.
This is, however, pretty cold comfort, for those relying on Government handouts and counting down to the end of September.
What was the real rate of unemployment in May? The short answer is 11.5 percent. This is obtained by maintaining the pre-Covid lockdown participation rate at the March level of 66.2 percent and applying this to the Civilian population 15 years and over, producing a potential workforce of up to 13, 770,061 in May. The combined numbers of officially unemployed and those who dropped out was 1,579,639. We used original or unadjusted figures as seasonal adjustments have become overwhelmed by Covid lockdowns and only original figures are used spatially for smaller areas. The original unemployment figure was marginally higher at 11.7 percent and 12.1 percent respectively in January and February 1993.
The figure of 11.5 percent also resonates with the new and more immediate ABS series on Weekly Payroll Jobs and Wages, which shows 5.6 percent of main jobs were lost between March 14 and the end of May and the official March unemployment rate was 5.6 percent in March. The two figures sum to 11.2 percent.
This means the current unemployment rate is as bad now as it was during the worst of the recession in the early 1990’s. The unemployment figure then was marginally higher at 11.7 percent and 12.1 percent respectively in January and February 1993.
The current figures for the one touch payroll data have been recovering slowly from the initial impact of the Covid jobs lockdown in early April, and this 11.2 percent hybrid figure is likely to continue (barring a second wave starting off from Victoria) at least until the Government begins to wind back JobKeeper and JobSeeker in September.
The realistic figure for unemployment rates at that time will be determined by whether the rate of recovery exceeds the rate at which those now on JobKeeper or JobSeeker join the ranks of those actively seeking work and satisfying the ABS definition of being unemployed.
The official ABS labour market unemployment rate is now pretty meaningless, as participation rates will tend to decline with relatively older and younger workers dropping out of the labour market.
In fact, the first sign of a recovery in a recessed regional labour market can be an interim increase in the local unemployment rate, as formerly discouraged workers are encouraged to seek work by becoming officially unemployed on a temporary basis, while actively hunting for a job and hence immediately boosting participation rates and then growing employment in the longer term.
So the most useful indicators you should be watching for in coming months are total jobs lost and gained by region and accompanying movements to participation rates.
Text by John Black, founder of ADS and EGS. Maps by Dr. Jeanine McMullan, CEO of Health Geographics.
We trace the jobs impact of the Covid-19 labour market shutdown in a news article and a linked online story map published in The Australian today.
The story outlines the evidence that the jobs downturn impacts announced by the Prime Minister in late March were sudden and deep and that since then, there have already been some tentative signs of a small jobs recovery in those states with lower levels of new Covid-19 cases, in apparent anticipation of an easing of social distancing and travel restrictions. However, in those states with continuing cases of new community transmission the downturn in higher SES professional jobs has deepened.
The article is available only to The Australian readers and subscribers and covers the new payroll data provided to the public by the Australian Bureau of Statistics, as a public service, while the data is still being developed.
