Category: How to
In the last week, we have added two exciting new features to profile.id, to further help with telling the demographic story of your area. A custom PDF generator enables you to build a PDF report based on topics and areas of your choice. The data exporter is back and enable you to download data from profile.id for further analysis.
Our clients often express a bit of uncertainty about the difference between the various approaches to population forecasting.
In this blog I will give you a basic overview of the differences between the bottoms-up and tops-down approaches, as well explaining the benefits of bottoms-up population forecasting.
During October we have continued to build our online training library, with three new videos now available to view.
Check the link text to the .id resources on your council website. Does it still say it has the “new” data from the 2001 census? We’ve checked and lots do!
Who responds to invitations for public consultation? Demographic analysis shows they are more likely to be male, older, Anglo Celtic, well-educated and to have a higher income. Missing are the submissions from the young, single parent families and ethnic minorities. This affects the agendas that are put forward and skews priorities. How do we achieve both better participation AND representation?
One of the questions we get asked most often at .id training sessions is how to get the data, charts and text out of the .id websites and into your working documents and presentations. This blog will step you through it.
When people ask – “How many people live in Statsville?” they expect a straight forward, unambiguous answer. If only it were that simple! Believe it or not there are several different ways to count people in places. Do you want to know how many were there on a particular day, or how many usually live there? In this blog we explain the different types of population statistics and when to use each one.
Many New Zealand councils are still up to their armpits in the 2012 Long Term Plan (LTP) consultation. It’s a huge undertaking and one of the most important consultation tasks conducted by councils. I talked a little in my last blog about how much resource is put into public consultation these days, so I pose the question …
How do you know when your public consultation has been effective?
To develop successful Economic Development strategies, you need to know about your local economy. You need to know its strengths, and weaknesses. You need to know where it fits in the overall competitive framework – and what role and function your economy serves.
economy.id is a fantastic resource for helping a Local Government Area describe, explore and promote the local economy. We’ve just rolled out a set of changes to make it even better. These changes have resulted from client feedback, and also input from our economic modellers, NIEIR. Here we’ll go through the main changes and how best to make use of them.
At .id we are keen users of Census data and are eagerly anticipating the release of 2011 data in June. However, it’s not as if the ABS sits around twiddling its thumbs in non-Census years – they have an active demography program with regular releases to keep the Australian public, business and governments information of the latest trends. We use a lot of this data at .id in our products and services. What are some of the more important releases, what information do they contain, and where can I find them?
forecast.id is a great tool for understanding how your area’s population is changing, and what are the likely future outcomes of demographic trends and housing development. Many users are unaware that forecast.id contains a comprehensive mapping section, which is a great way of visualising how population is changing within your local government area. It allows you to pinpoint areas with the greatest change, and target your local government services over the next 20 years.
In the “Additional Data” section of profile.id is the Migration section. This section contains some of the most powerful storytelling within the profile, and can explain a lot of the changes that you see in your area. The migration section tells you why the population is going up or down and where people are moving from and to. While we spend a lot of time looking at migration from overseas, migration from within Australia is just as important, and in many areas much more important.
Local governments subscribe to .id tools for their own use, and also to provide the information to their communities, local businesses, investors and potential residents. In doing so, they provide links from their own website to the .id tools. The question is, where should you put the links?
Forty councils and regions across Australia have now signed on to economy.id, the online economic and workforce profile. economy.id helps councils to describe, explore and promote their economy. You can see the full list on our website. economy.id is a fantastic resource for understanding the size of your local economy, how it is changing, the breakdown of key industries and characteristics of the workers in each industry. There is also a section called “Infrastructure” which can be used as a promotional tool. Read on to see how.
Most councils who subscribe to profile.id also have atlas.id. The online social atlas contains over 70 maps which allow you to see how different population groups are distributed across your LGA. But atlas.id is more than just maps. It is also the easiest way compare results for each suburb and your benchmark areas as well. Read on to find out how.
Income data is one of the most important indicators of socio-economic status. One of the most useful analysis tools in profile.id (and also used in economy.id) are income quartiles. They enable you to compare incomes (or housing payments) over time, to see whether they are increasing or decreasing in your area relative to a benchmark. Though relatively simple to calculate and even simpler to use, many users of .id’s community profiles aren’t aware that they are available. Read on to see how to use quartiles.
On the .id website homepage, (www.id.com.au) there is a small icon in the top right corner labelled “client login”, behind which hides a wealth of features for subscribing councils.
In a recent blog we looked at employment self-containment, which is a measure that looks at the proportion of residents who work locally. Self-sufficiency is the opposite side of the coin. It looks at what proportion of local jobs are filled by local residents. If that makes any sense to you, you’re doing better than most! While self-containment is usually an important measure for suburban councils with less jobs than residents, inner urban councils, and more affluent areas are also interested in self-sufficiency.
Self-containment of employment and self-sufficiency of employment are two terms which are often used in Local Government, but they have varying definitions from place to place, and their usefulness also varies. The new, improved version of economy.id which was recently launched for .id’s 31 subscribing councils uses these terms explicitly, where the old version didn’t, so it’s worthwhile having a look at them and what they can do for you. This article will focus on self-containment of employed residents.
The ABS is moving from the concept of “Capital City Statistical Division” to “Greater Capital City Statistical Areas”, as part of the new geography – the ASGS. While this may just seem like a bit of jargon, it’s actually got quite a significant impact – partly because a lot more ABS collections produce data at this level, and partly because the capital city is just more visible than other areas. This is Part 5 in our series about what the new ABS geography looks like and how it will affect you.
One of the most important bits of economic information a council can have is about employment. However there are different ways of measuring employment and it can be confusing figuring out which one to use.This article is designed to help demystify them all and give you an idea of which ones to use when, and what their limitations are.
The ABS is introducing a new geographic classification, which means the geography for which statistics are generated from a wide variety of collections, including the Census, is going to change radically. This is Part 4 in our series about what the new geography looks like and how it will affect you.
At training sessions for profile.id and economy.id, we often get asked how to interpret some of the data presented in these tools. We suggest a simple but powerful technique called “dominant-emerging” analysis as a really good way to make sense of the data. It is based on asking two questions about any area.
- What role does it play within its region? 2. How is it changing?
Probably the most radical change in the new ABS geography is the move to SA2s (“Statistical Area Level 2” – another imaginative name…). These replace Statistical Local Areas (SLAs), which were always a bit misunderstood. This is the third part in my series on the new ABS geography.
With the user-friendly interface of profile.id, it’s easy to get most information you are seeking, by navigating around using the menu options and tabs. But if you are seeking specific information, data download can get you targeted and accurate information, fast. It is especially useful for comparing between a number of small areas at once, across several Census years, and also has some additional data which is not displayed in the main interface of profile.id.
One of the problems in conducting a Section 30 review in older, established areas is the need to recognise and preserve the areas that define the character of the city, while still allowing for development of an appropriate type to allow the city to grow and increase in diversity.
The City of Unley recently used their .id community profile to assist in conducting their Section 30 review.
Over the past few years, the Australian Bureau of Statistics has been working out a whole new Statistical Geography for Australia.
Now Statistical Geography may not sound like the most interesting topic, unless you work here at .id in which case it’s fascinating! It underpins most of the data that you can get from the Census, and most of our work at .id, as well as a whole lot of other ABS collections. ABS is moving to a completely new set of areas for the release of data, which will change what data is available for what areas. Read the rest of this entry
This article in last week’s Age talks about Northcote and Maribyrnong and how they have become gentrified.
While you can’t find too much about pilates, goats’ cheese pizzas and Subarus from Darebin’s community profile, it’s not too hard to see whether an area is gentrifying, and in the case of these two suburbs, the article isn’t picking up on anything new, it’s been happening for quite some time!
One of the most common questions we are asked about Census data is whether it’s best to use Enumerated or Usual Residence data when making statements about populations. Our Census product, profile.id, gives users the option to use either, with both options prominently displayed with radio buttons to select at the top of each table. But which should you use?