1 00:00:05,960 --> 00:00:08,600 Speaker 1: Welcome to the Fear and Greed Daily Interview. I'm sure Ailma. 2 00:00:08,720 --> 00:00:11,480 Speaker 1: This week we heard that the Australian Buwerau of Statistics 3 00:00:11,480 --> 00:00:13,960 Speaker 1: has chosen sixty thousand homes to take part in a 4 00:00:14,080 --> 00:00:17,160 Speaker 1: test census to make sure the real event next year 5 00:00:17,239 --> 00:00:19,680 Speaker 1: runs without incident. For the first time, it will include 6 00:00:19,760 --> 00:00:23,360 Speaker 1: questions about sexual orientation and gender for people over sixteen. 7 00:00:23,840 --> 00:00:26,920 Speaker 1: The Census is a nationwide count of household information. It's 8 00:00:26,960 --> 00:00:30,240 Speaker 1: conducted every five years. It provides a snapshot of Australies 9 00:00:30,320 --> 00:00:33,320 Speaker 1: population and to help me delve into why we do it, 10 00:00:33,479 --> 00:00:35,880 Speaker 1: what to expect from it, I welcome to the show. 11 00:00:36,000 --> 00:00:41,160 Speaker 1: Harry Harrah Pree Cannon, chief data scientist for the Demographic Group. Harry, 12 00:00:41,200 --> 00:00:42,200 Speaker 1: Welcome to Fear and Greed. 13 00:00:42,440 --> 00:00:43,040 Speaker 2: Hello Sean. 14 00:00:43,520 --> 00:00:45,320 Speaker 1: Why is the census so important? 15 00:00:47,040 --> 00:00:50,360 Speaker 2: So? The census is kind of a big deal, especially here, 16 00:00:50,520 --> 00:00:55,040 Speaker 2: and it matters more than most people realize. Census data 17 00:00:55,720 --> 00:01:01,360 Speaker 2: decides where are schools, hospitals, eagedcare, homes, transport services go. 18 00:01:01,960 --> 00:01:05,840 Speaker 2: It affects how much funding new local areas gets and 19 00:01:05,880 --> 00:01:08,520 Speaker 2: whether you subborb gets a new childcare center or a 20 00:01:08,560 --> 00:01:13,400 Speaker 2: community park. All these kinds of big decisions are based 21 00:01:13,480 --> 00:01:16,679 Speaker 2: on census data. So even if you only think about 22 00:01:16,880 --> 00:01:21,840 Speaker 2: the census once every five years, it's quietly shaping the 23 00:01:21,880 --> 00:01:23,399 Speaker 2: world around us. 24 00:01:23,920 --> 00:01:26,240 Speaker 1: Okay, well, yeah, I've learned something there already. I just 25 00:01:26,240 --> 00:01:29,000 Speaker 1: didn't realize quite that is a massive impact that the 26 00:01:29,040 --> 00:01:34,360 Speaker 1: census has. Is it timely enough? I suppose it's the question. 27 00:01:35,120 --> 00:01:39,000 Speaker 2: It is timely enough? And that's what's really special about 28 00:01:39,160 --> 00:01:45,080 Speaker 2: Australia's census. Unlike many countries that only run their censors 29 00:01:45,200 --> 00:01:48,800 Speaker 2: every ten years, like the US does it once every 30 00:01:48,800 --> 00:01:52,520 Speaker 2: ten years, we do ours every five which means we 31 00:01:52,600 --> 00:01:56,760 Speaker 2: get fresher data and can respond more quickly to social 32 00:01:56,800 --> 00:02:03,040 Speaker 2: and economic changes. And census is pretty inclusive. It doesn't 33 00:02:03,080 --> 00:02:06,960 Speaker 2: just count our citizens and our permanent residents, but it 34 00:02:07,080 --> 00:02:12,040 Speaker 2: also counts tourists, international students, whether you're a temporary visa holder. 35 00:02:12,880 --> 00:02:17,600 Speaker 2: Our census counts everyone, and that gives us a real 36 00:02:17,919 --> 00:02:22,160 Speaker 2: insight into how things are in Australia. 37 00:02:22,360 --> 00:02:28,240 Speaker 1: Okay, the Australian census. Is that typical of other censuses 38 00:02:28,280 --> 00:02:31,200 Speaker 1: around the world? Or do we tend to gather more information? 39 00:02:31,919 --> 00:02:32,800 Speaker 1: How does that all work? 40 00:02:33,360 --> 00:02:37,679 Speaker 2: We do get a lot more information compared to other 41 00:02:37,800 --> 00:02:42,679 Speaker 2: censuses in the world. The US only has twelve questions, 42 00:02:43,000 --> 00:02:47,959 Speaker 2: but our census it has bought sixty three questions and 43 00:02:48,240 --> 00:02:51,480 Speaker 2: the test rund that we are doing right now it 44 00:02:51,560 --> 00:02:55,280 Speaker 2: is actually a change that was looked into from the 45 00:02:55,320 --> 00:02:59,800 Speaker 2: previous census. So what happens in between our censues is 46 00:02:59,800 --> 00:03:03,760 Speaker 2: that a committee sits down, they really go through our data. 47 00:03:04,200 --> 00:03:08,239 Speaker 2: They try to understand what can we add that's more current, 48 00:03:08,639 --> 00:03:12,519 Speaker 2: more relevant. For example, they're adding a new category as 49 00:03:12,520 --> 00:03:15,480 Speaker 2: a response to one of our questions, which is tell 50 00:03:15,560 --> 00:03:19,160 Speaker 2: us about how you travel to work, and they are 51 00:03:19,200 --> 00:03:22,920 Speaker 2: going to add travel by e bike as one of 52 00:03:22,960 --> 00:03:23,640 Speaker 2: the options. 53 00:03:23,919 --> 00:03:24,200 Speaker 1: Wow. 54 00:03:24,720 --> 00:03:28,920 Speaker 2: Now I have never seen as a data scientist this 55 00:03:29,160 --> 00:03:32,360 Speaker 2: being done in any other country other than Australia. 56 00:03:33,320 --> 00:03:35,240 Speaker 1: What about the issue I mean is something that has 57 00:03:35,480 --> 00:03:38,240 Speaker 1: had a bit of publicity is a question on sexual 58 00:03:38,280 --> 00:03:42,200 Speaker 1: orientation and gender. It was something that was discussed last year, 59 00:03:42,200 --> 00:03:45,520 Speaker 1: but if I'm right, the government didn't particularly want to 60 00:03:45,560 --> 00:03:48,480 Speaker 1: push the issue ahead of the election. Why is it 61 00:03:48,520 --> 00:03:50,360 Speaker 1: important that we get that sort of information. 62 00:03:51,480 --> 00:03:56,840 Speaker 2: I think that helps us understand a lot about these 63 00:03:57,040 --> 00:04:01,040 Speaker 2: communities that are less talked about. Census not only gives 64 00:04:01,160 --> 00:04:04,200 Speaker 2: us the count of people and the age, but it 65 00:04:04,240 --> 00:04:08,280 Speaker 2: also talks about the educational backgrounds, what sort of family 66 00:04:08,320 --> 00:04:11,480 Speaker 2: setups they are and where they're living, or how they're 67 00:04:11,480 --> 00:04:16,279 Speaker 2: doing economically, and this gives us an insight into how 68 00:04:16,360 --> 00:04:18,919 Speaker 2: to service these cohortes better. 69 00:04:20,440 --> 00:04:22,200 Speaker 1: Broadly, I mean we've got to go to a break 70 00:04:22,240 --> 00:04:24,520 Speaker 1: in a moment. We might talk about specific things like 71 00:04:24,600 --> 00:04:27,320 Speaker 1: birth rates and international students in housing in that after 72 00:04:27,360 --> 00:04:30,239 Speaker 1: the break, but just broadly, before we go to the break, 73 00:04:30,680 --> 00:04:33,760 Speaker 1: how is Australia changing or is that too broad a 74 00:04:33,839 --> 00:04:34,960 Speaker 1: question to actually ask? 75 00:04:35,600 --> 00:04:40,240 Speaker 2: That is too broad a question to ask, But I 76 00:04:40,400 --> 00:04:46,000 Speaker 2: think Australia is one of the leading examples worldwide on 77 00:04:46,240 --> 00:04:51,080 Speaker 2: how you can harness the data and builz smarter environments. 78 00:04:51,160 --> 00:04:54,719 Speaker 2: And I don't see this happening anywhere else in the world. 79 00:04:55,040 --> 00:04:57,600 Speaker 2: And the other thing about the Australian census is while 80 00:04:57,760 --> 00:05:04,160 Speaker 2: most data in other countries are not publicly easily accessible. Now, 81 00:05:04,200 --> 00:05:06,600 Speaker 2: if you want to know about your suburb, for example, 82 00:05:06,640 --> 00:05:09,520 Speaker 2: you can just go on avi's website and there is 83 00:05:09,560 --> 00:05:12,760 Speaker 2: a tool called quick Stats. You type in your suburb 84 00:05:12,880 --> 00:05:16,560 Speaker 2: and it will give you all the basic information, oh wow, 85 00:05:16,600 --> 00:05:19,159 Speaker 2: about how your suburb is doing, the income profile, what 86 00:05:19,279 --> 00:05:24,000 Speaker 2: sort of occupations are there, including religious affiliation, it's not 87 00:05:24,120 --> 00:05:26,920 Speaker 2: just the big companies that can benefit out of this. 88 00:05:27,960 --> 00:05:31,000 Speaker 2: I might plan to start a new ice cream joint 89 00:05:31,040 --> 00:05:34,359 Speaker 2: in my suburb and this data can be useful for me. 90 00:05:34,920 --> 00:05:37,679 Speaker 1: Fantastic. Stay with me, Harry, We'll be back in a moment. 91 00:05:43,720 --> 00:05:47,920 Speaker 1: I'm speaking to the demographic groups, Harry Harah Priat Kennan. 92 00:05:49,080 --> 00:05:53,719 Speaker 1: I want to get to some specific challenges. International students, 93 00:05:53,760 --> 00:06:02,760 Speaker 1: migration a constant, constant debate in Australia. So bad, it's. 94 00:06:02,600 --> 00:06:06,120 Speaker 2: Good, and it's not my personal opinion. Data sus it. 95 00:06:06,839 --> 00:06:09,120 Speaker 1: Yeah, No, that's what I want to know. What's the 96 00:06:09,240 --> 00:06:09,720 Speaker 1: data side. 97 00:06:09,839 --> 00:06:13,240 Speaker 2: So when you look at our migration, I'm going to 98 00:06:13,240 --> 00:06:16,680 Speaker 2: break this down to you, or I might even ask 99 00:06:16,720 --> 00:06:21,240 Speaker 2: you a question here, what percentage of our migration do 100 00:06:21,320 --> 00:06:23,080 Speaker 2: you think is permanent in nature? 101 00:06:24,640 --> 00:06:28,159 Speaker 1: I'd I would have a lot more tourist international students, 102 00:06:28,600 --> 00:06:31,800 Speaker 1: many many more than permanent in nature our guests. 103 00:06:31,920 --> 00:06:34,840 Speaker 2: Yeah, so the permanent is only eleven percent. So when 104 00:06:34,920 --> 00:06:38,240 Speaker 2: you say we are taking four hundred thousand people or 105 00:06:38,279 --> 00:06:40,800 Speaker 2: two hundred and fifty thousand people, we are not bringing 106 00:06:40,839 --> 00:06:44,839 Speaker 2: them all here forever. So what are all these temporary 107 00:06:45,400 --> 00:06:50,760 Speaker 2: tourists and migrants actually contributing to US as a nation. 108 00:06:51,600 --> 00:06:56,400 Speaker 2: International education is our top four service expert. It's a 109 00:06:56,400 --> 00:07:03,400 Speaker 2: billion dollar industry and international education also directly affects tourism. 110 00:07:03,560 --> 00:07:07,480 Speaker 2: Without international education, the Australian tourism industry would be one 111 00:07:07,560 --> 00:07:09,000 Speaker 2: third of what it is today. 112 00:07:09,480 --> 00:07:09,760 Speaker 1: Wow. 113 00:07:09,960 --> 00:07:14,760 Speaker 2: Plus we have temporary workers who help us plug our 114 00:07:14,840 --> 00:07:19,280 Speaker 2: skills shortage. Our unemployment rate is set an all time loan, 115 00:07:19,520 --> 00:07:23,400 Speaker 2: so we're not essentially getting migrants to take up the 116 00:07:23,520 --> 00:07:26,680 Speaker 2: jobs of all locals, but we are rather getting migrants 117 00:07:26,960 --> 00:07:31,800 Speaker 2: to fill the gaps in our workforce. So it's a 118 00:07:31,840 --> 00:07:36,760 Speaker 2: completely win situation for Australia. And this is going to 119 00:07:36,800 --> 00:07:40,840 Speaker 2: be the case in every other first world top income 120 00:07:40,880 --> 00:07:44,320 Speaker 2: countries as well. And that's because globally we are aging 121 00:07:44,640 --> 00:07:49,240 Speaker 2: and most developed nations are also aging very rapidly, which 122 00:07:49,240 --> 00:07:52,040 Speaker 2: means we are going to be having fewer and fewer workers. 123 00:07:52,600 --> 00:07:55,680 Speaker 2: So every country will now get on the race to 124 00:07:55,800 --> 00:08:00,720 Speaker 2: get migrants so they can sustain their population growth. 125 00:08:01,280 --> 00:08:05,320 Speaker 1: Okay, so this brings us under structural aging and birth rates. 126 00:08:05,880 --> 00:08:08,440 Speaker 1: What is the Australian birth rate trendy? 127 00:08:09,040 --> 00:08:12,360 Speaker 2: So our current birth rate is at one point eight 128 00:08:13,280 --> 00:08:18,080 Speaker 2: and it's trending downwards. It has been trending downwards for 129 00:08:18,160 --> 00:08:23,560 Speaker 2: the past three four decades. This is something that needs 130 00:08:23,600 --> 00:08:27,840 Speaker 2: a lot of structural change if it has to go up. 131 00:08:28,280 --> 00:08:30,840 Speaker 2: So the replacement level is two point two and we 132 00:08:30,880 --> 00:08:34,560 Speaker 2: are well below that. So we will actually see in 133 00:08:34,600 --> 00:08:40,240 Speaker 2: the late twenty forties that our natural increase starts going 134 00:08:40,280 --> 00:08:44,240 Speaker 2: into the negatives and migration is the only component that 135 00:08:44,320 --> 00:08:46,360 Speaker 2: will help Australia's population group. 136 00:08:47,040 --> 00:08:50,560 Speaker 1: Okay, the housing sector another big political issue. It was 137 00:08:50,679 --> 00:08:53,920 Speaker 1: the last election the government's National Hasing Accord wants to 138 00:08:53,920 --> 00:08:56,120 Speaker 1: build two unred and forty thousand homes a year. Where 139 00:08:56,120 --> 00:09:00,480 Speaker 1: now we need that. Do demographics tell us anything about 140 00:09:00,640 --> 00:09:02,640 Speaker 1: what we need to do with housing? 141 00:09:03,600 --> 00:09:09,040 Speaker 2: So the whole issue about housing is, see, we have 142 00:09:09,120 --> 00:09:12,200 Speaker 2: a lot of space. That's the reality. When you compare 143 00:09:12,480 --> 00:09:17,520 Speaker 2: most Australian cities to other cities like London or San Francisco, 144 00:09:17,920 --> 00:09:22,360 Speaker 2: you compare anywhere our population density is much much lower 145 00:09:22,400 --> 00:09:25,440 Speaker 2: than that, and we also have a land area that's 146 00:09:25,520 --> 00:09:28,920 Speaker 2: much bigger. You can take New York for example, it 147 00:09:28,960 --> 00:09:34,160 Speaker 2: has around eight hundred people approximately per square kilometer and 148 00:09:34,559 --> 00:09:39,480 Speaker 2: the entire city is only one thousand square kilometers in size. 149 00:09:39,880 --> 00:09:44,400 Speaker 2: If you take Melbourne, it's twelve thousand kilometers square kilometers 150 00:09:44,440 --> 00:09:46,920 Speaker 2: and our population density is about four hundred and fifty 151 00:09:47,400 --> 00:09:50,480 Speaker 2: so we can see that we don't have a spacing issue. 152 00:09:50,520 --> 00:09:54,360 Speaker 2: What we have is a policy issue. Our population growth 153 00:09:54,400 --> 00:09:58,880 Speaker 2: and our migration policy is not really communicating with our 154 00:09:59,080 --> 00:10:02,640 Speaker 2: housing policy is the issue here, and we also need 155 00:10:02,679 --> 00:10:08,600 Speaker 2: to build more density housing, especially in areas that's having 156 00:10:08,640 --> 00:10:12,319 Speaker 2: a turnover of this temporary population. Like if you look 157 00:10:12,360 --> 00:10:16,600 Speaker 2: at our job hubs and university corridors, these places require 158 00:10:16,679 --> 00:10:22,920 Speaker 2: more short term rental, higher density housing compared to what 159 00:10:23,040 --> 00:10:24,200 Speaker 2: we are actually building. 160 00:10:25,520 --> 00:10:28,160 Speaker 1: Harry, tell me, do you get excited as a demographer 161 00:10:28,200 --> 00:10:29,720 Speaker 1: when there's a new sensors coming up? 162 00:10:30,160 --> 00:10:32,360 Speaker 2: I definitely get very excited. 163 00:10:34,520 --> 00:10:36,760 Speaker 1: It's kind of Christmas once every five years. 164 00:10:36,880 --> 00:10:41,240 Speaker 2: Yes. Firstly, it's my bread and butter. The other thing 165 00:10:41,360 --> 00:10:44,680 Speaker 2: is when the last senses came out, there were new 166 00:10:44,760 --> 00:10:49,600 Speaker 2: questions around long term health conditions and mental health and everything, 167 00:10:50,040 --> 00:10:55,000 Speaker 2: and there's always new data to explore, so it's not 168 00:10:55,559 --> 00:10:58,760 Speaker 2: the same thing that's happening every five years. So there 169 00:10:58,800 --> 00:11:02,719 Speaker 2: are some trends that really change a lot. But then 170 00:11:02,760 --> 00:11:06,800 Speaker 2: there are these new trends that open up new avenues 171 00:11:07,400 --> 00:11:12,240 Speaker 2: for research and debate and that's really exciting. 172 00:11:12,920 --> 00:11:15,240 Speaker 1: Fantastic, Harry, thank you very much for talking to Fear 173 00:11:15,280 --> 00:11:15,640 Speaker 1: and Greed. 174 00:11:15,960 --> 00:11:16,320 Speaker 2: Thank you. 175 00:11:16,880 --> 00:11:20,640 Speaker 1: That's Harry. Harah Prier Kennan, chief data scientist for the 176 00:11:20,679 --> 00:11:23,400 Speaker 1: Demographics Group. This is the Fear and Greed Business Interview. 177 00:11:23,559 --> 00:11:26,120 Speaker 1: Join us every morning for the full episode of Fear 178 00:11:26,160 --> 00:11:29,840 Speaker 1: and Greed Business News. You can use spishy Elma Enjoy 179 00:11:29,840 --> 00:11:35,360 Speaker 1: your day.