1 00:00:00,800 --> 00:00:05,920 Speaker 1: For comprehensive political coverage impacting Territorians. The only voice you 2 00:00:06,000 --> 00:00:09,720 Speaker 1: need is Katie wilf on three sixty remaining one hundred 3 00:00:09,760 --> 00:00:12,720 Speaker 1: percent and Mix one oh four point nine. 4 00:00:13,240 --> 00:00:15,320 Speaker 2: Well, there's been a lot of discussion about whether the 5 00:00:15,400 --> 00:00:18,919 Speaker 2: territory's population had grown towards the end of last year 6 00:00:19,680 --> 00:00:22,560 Speaker 2: with COVID refugees. I think we've been calling them, or 7 00:00:22,600 --> 00:00:25,520 Speaker 2: the Chief Minister had called them and joining us on 8 00:00:25,560 --> 00:00:27,480 Speaker 2: the line right now to talk a little bit more 9 00:00:27,640 --> 00:00:32,000 Speaker 2: about the population. It's CDU Charles Dalwin University, demographer from 10 00:00:32,000 --> 00:00:36,600 Speaker 2: the Northern Institute College of Indigenous Futures, Arts and Society, 11 00:00:36,880 --> 00:00:40,680 Speaker 2: Associate Professor Andrew Taylor. Good morning to you, Andrew. 12 00:00:41,640 --> 00:00:43,199 Speaker 3: Good morning Katie. Great to be with you. 13 00:00:43,360 --> 00:00:44,520 Speaker 1: Yeah, good to chat with you. 14 00:00:44,520 --> 00:00:47,559 Speaker 2: You and I have discussed this the population on numerous 15 00:00:47,600 --> 00:00:51,519 Speaker 2: occasions and whether indeed there was much growth towards the 16 00:00:51,640 --> 00:00:55,680 Speaker 2: end of last year. I understand the Bureau of Statistics, well, 17 00:00:55,720 --> 00:00:59,240 Speaker 2: they released their most recent data and the population had 18 00:00:59,320 --> 00:01:02,680 Speaker 2: actually only grown by about eight people. I think. 19 00:01:04,000 --> 00:01:06,520 Speaker 3: Eight people for Darwin. So but there was actually a 20 00:01:06,520 --> 00:01:10,080 Speaker 3: bit of a turnaround for Dalen from a negative into 21 00:01:10,080 --> 00:01:13,559 Speaker 3: state migration flow to that positive of just eight people. 22 00:01:13,640 --> 00:01:16,720 Speaker 3: So in that respect it was a positive thing, but 23 00:01:17,200 --> 00:01:22,039 Speaker 3: that was really driven by better retention of people in 24 00:01:22,040 --> 00:01:26,480 Speaker 3: the territory. And we've released research today that shows that 25 00:01:26,640 --> 00:01:30,720 Speaker 3: indeed people's sentiments about staying in the territory, so people 26 00:01:30,760 --> 00:01:35,200 Speaker 3: who already live in the territory have become much more positive. 27 00:01:35,280 --> 00:01:37,360 Speaker 3: So those that might have looked at leaving in the 28 00:01:37,400 --> 00:01:40,880 Speaker 3: next two years as a result of the pandemic and 29 00:01:41,000 --> 00:01:45,720 Speaker 3: various border restrictions and so on, are now looking at staying. 30 00:01:46,280 --> 00:01:49,120 Speaker 3: So this is very important for the territory. So it's 31 00:01:49,200 --> 00:01:53,920 Speaker 3: really about retention rather than our ability at the moment 32 00:01:54,000 --> 00:01:56,520 Speaker 3: to attract more people to the territory. And that's what 33 00:01:56,560 --> 00:01:58,360 Speaker 3: the ABS data also showed. 34 00:02:01,360 --> 00:02:04,480 Speaker 2: With the data that you've released today, what else has 35 00:02:04,520 --> 00:02:05,080 Speaker 2: it found. 36 00:02:06,360 --> 00:02:08,240 Speaker 3: Yeah, so we found that this we call it the 37 00:02:08,240 --> 00:02:11,760 Speaker 3: two year attention rate, and it's improved across all age 38 00:02:11,760 --> 00:02:14,720 Speaker 3: groups in the territory, but most importantly it's improved for 39 00:02:14,840 --> 00:02:17,320 Speaker 3: younger people, so those in their sort of early career 40 00:02:17,360 --> 00:02:22,840 Speaker 3: stages age around eighteen to thirty, and they are very 41 00:02:22,880 --> 00:02:26,280 Speaker 3: important because they are our biggest group in terms of 42 00:02:26,320 --> 00:02:29,360 Speaker 3: flows across borders, so they're the biggest group that we 43 00:02:29,440 --> 00:02:33,120 Speaker 3: gain from interstate and they're the biggest group in terms 44 00:02:33,120 --> 00:02:37,720 Speaker 3: of losses. So this could help really generate some improvements 45 00:02:37,720 --> 00:02:42,160 Speaker 3: in our population outcomes, because interstate migration, as we've discussed, Katie, 46 00:02:42,240 --> 00:02:45,240 Speaker 3: is what's been sort of dragging us back in terms 47 00:02:45,280 --> 00:02:46,680 Speaker 3: of our population growth. 48 00:02:47,320 --> 00:02:50,680 Speaker 2: And so through the work that you've done most recently 49 00:02:51,000 --> 00:02:54,840 Speaker 2: and the data that's been released today, why has the 50 00:02:54,919 --> 00:02:58,120 Speaker 2: sentiment changed And from what you can gather, why are 51 00:02:58,160 --> 00:03:00,960 Speaker 2: people sort of staying in the and a bit more 52 00:03:01,000 --> 00:03:01,799 Speaker 2: happy to stay. 53 00:03:02,960 --> 00:03:06,880 Speaker 3: Yeah, that's a million dollar question. What's happening across the 54 00:03:06,880 --> 00:03:12,000 Speaker 3: globe seemingly is this sort of notion of regionalism and 55 00:03:12,360 --> 00:03:14,600 Speaker 3: entrenchment in the community you're living in, So people are 56 00:03:14,639 --> 00:03:17,800 Speaker 3: sort of looking inwards. Of course, now there are a 57 00:03:17,960 --> 00:03:21,800 Speaker 3: million Australians who are not overseas or there's still many 58 00:03:22,040 --> 00:03:23,800 Speaker 3: left to come back. But at any point in time, 59 00:03:23,840 --> 00:03:26,959 Speaker 3: we have about a million Australian residents overseas. They're all 60 00:03:26,960 --> 00:03:29,680 Speaker 3: still home now some of those will be in the 61 00:03:29,760 --> 00:03:33,840 Speaker 3: territory who otherwise might have been overseas. But yes, there 62 00:03:33,880 --> 00:03:36,960 Speaker 3: is the notion of this general feeling of wanting to 63 00:03:37,000 --> 00:03:40,720 Speaker 3: be bedded down in the community where you live sort 64 00:03:40,760 --> 00:03:44,960 Speaker 3: of homely nurse. You know, as we've heard, building construction 65 00:03:45,120 --> 00:03:48,080 Speaker 3: is going well in the territory and unless people are 66 00:03:48,080 --> 00:03:52,680 Speaker 3: traveling overseas, so we're just seeing this retention phenomenon occur 67 00:03:52,800 --> 00:03:56,320 Speaker 3: that's a result of the pandemic that we haven't necessarily 68 00:03:56,360 --> 00:03:58,280 Speaker 3: seen before in our population figures. 69 00:03:58,680 --> 00:04:02,520 Speaker 2: So maybe the you know, the assumption that we had 70 00:04:02,600 --> 00:04:05,000 Speaker 2: COVID refugees isn't so wrong. 71 00:04:06,480 --> 00:04:09,320 Speaker 3: We haven't well know, when we think of COVID refugees, 72 00:04:09,360 --> 00:04:13,720 Speaker 3: we think of people coming specifically to escape, you know, 73 00:04:14,040 --> 00:04:17,800 Speaker 3: impacts from the pandemic down south, Whereas what the ABS 74 00:04:17,880 --> 00:04:21,159 Speaker 3: data and our research is showing is that it's people 75 00:04:21,240 --> 00:04:24,880 Speaker 3: already in the territory who are not leaving. So we 76 00:04:25,000 --> 00:04:27,320 Speaker 3: haven't been able We've scoured many data sets, and we 77 00:04:27,360 --> 00:04:29,680 Speaker 3: haven't been able to yet fign evidence of this sort 78 00:04:29,720 --> 00:04:33,240 Speaker 3: of phenomenon of people coming to the territory to escape 79 00:04:33,240 --> 00:04:37,719 Speaker 3: restrictions and border closures and indeed the threats they feel 80 00:04:37,720 --> 00:04:40,839 Speaker 3: from the pandemic itself on their jobs or their health. 81 00:04:41,680 --> 00:04:44,520 Speaker 3: We haven't yet seen any sort of bounce back in 82 00:04:44,520 --> 00:04:48,360 Speaker 3: the numbers coming to the territory. But yet we've seen 83 00:04:48,360 --> 00:04:50,880 Speaker 3: for the first time this bounce in retention. 84 00:04:51,279 --> 00:04:54,320 Speaker 2: Yeah, it's I guess it's always an interesting like it's 85 00:04:54,320 --> 00:04:56,880 Speaker 2: a really interesting thing. And there had sort of been 86 00:04:56,920 --> 00:04:59,480 Speaker 2: that discussion towards the end of last year wondering if 87 00:04:59,520 --> 00:05:02,839 Speaker 2: we would get more people here because of COVID. But 88 00:05:03,160 --> 00:05:05,440 Speaker 2: from what you're saying, there's not the data at this 89 00:05:05,560 --> 00:05:08,280 Speaker 2: point to sort of support them moving here. But we 90 00:05:08,320 --> 00:05:09,400 Speaker 2: are retaining people. 91 00:05:10,480 --> 00:05:14,280 Speaker 3: Yeah, there isn't at the moment, but with people staying 92 00:05:14,320 --> 00:05:16,839 Speaker 3: in the territory. Of course, as we've mentioned, restaurants and 93 00:05:16,880 --> 00:05:18,960 Speaker 3: we've heard in the news at restaurants are kind of 94 00:05:19,240 --> 00:05:23,880 Speaker 3: having a good business period. There's building and construction happening, 95 00:05:24,000 --> 00:05:29,440 Speaker 3: especially around private dwellings and houses for families. So maybe 96 00:05:29,440 --> 00:05:31,880 Speaker 3: this will have a multiplier effect into the future and 97 00:05:32,400 --> 00:05:36,200 Speaker 3: through their jobs creation through those sort of sectors. All 98 00:05:36,240 --> 00:05:39,600 Speaker 3: being well with the vaccine roll out and the pandemic itself, 99 00:05:40,360 --> 00:05:44,280 Speaker 3: we might see a role on towards improved numbers of 100 00:05:44,320 --> 00:05:47,800 Speaker 3: people coming to the territory, which might then help us 101 00:05:47,800 --> 00:05:52,320 Speaker 3: out of this kind of long population, slow growth period 102 00:05:52,360 --> 00:05:53,040 Speaker 3: that we've had. 103 00:05:53,279 --> 00:05:56,560 Speaker 2: Yeah, and do anything else interesting from the data that 104 00:05:56,640 --> 00:05:59,320 Speaker 2: you have collected, lots. 105 00:05:59,080 --> 00:06:02,200 Speaker 3: And lots bought online, and maybe we can discuss it 106 00:06:02,200 --> 00:06:05,640 Speaker 3: further at some point, Katie, But basically, we found the 107 00:06:05,680 --> 00:06:09,000 Speaker 3: highest increase in the rates of people staying out for 108 00:06:09,080 --> 00:06:11,400 Speaker 3: those young people and for people who've been here for 109 00:06:11,480 --> 00:06:14,640 Speaker 3: less than a year. Also for people who are born 110 00:06:14,720 --> 00:06:18,800 Speaker 3: overseas and are purchasing a home. So those two things 111 00:06:18,880 --> 00:06:22,440 Speaker 3: kind of help imbed you in the territory and make 112 00:06:22,480 --> 00:06:25,320 Speaker 3: you less like putty to leave as a result of 113 00:06:25,360 --> 00:06:26,080 Speaker 3: the pandemic. 114 00:06:27,360 --> 00:06:29,480 Speaker 2: And so with those people that have been here less 115 00:06:29,480 --> 00:06:32,479 Speaker 2: than a year that are staying, do we have any 116 00:06:32,520 --> 00:06:35,080 Speaker 2: ideas sort of what's keeping them here at this point? 117 00:06:35,120 --> 00:06:39,120 Speaker 2: Is it jobs, an opportunity or what is this? 118 00:06:40,760 --> 00:06:44,920 Speaker 3: Yeah, look, with the younger people, those early career workers, 119 00:06:44,960 --> 00:06:48,919 Speaker 3: if you like, mainly not showing the highest increase in retention. 120 00:06:49,600 --> 00:06:51,760 Speaker 3: We would have to assume that they're sort of feeling 121 00:06:51,839 --> 00:06:54,080 Speaker 3: like they've got a job in the territory. They don't 122 00:06:54,080 --> 00:06:57,719 Speaker 3: want to risk leaving now because they may not have 123 00:06:57,800 --> 00:07:01,160 Speaker 3: a job down south to go to, or the pandemic 124 00:07:01,240 --> 00:07:05,160 Speaker 3: might cause some further issues around lockdowns and so on. 125 00:07:05,200 --> 00:07:07,960 Speaker 3: And I think it's about decreasing the risk of those 126 00:07:08,000 --> 00:07:10,880 Speaker 3: things for them at this point in time. That is 127 00:07:11,560 --> 00:07:15,080 Speaker 3: has changed their sentiment towards either being uncertain about whether 128 00:07:15,120 --> 00:07:19,840 Speaker 3: they'll stay or being certain they're leaving. To turn that 129 00:07:19,960 --> 00:07:22,320 Speaker 3: around towards no, I'm actually going to still be in 130 00:07:22,360 --> 00:07:24,560 Speaker 3: the territory in two years because I've got a job 131 00:07:24,600 --> 00:07:27,680 Speaker 3: and I feel entrenched here and don't want to take 132 00:07:27,680 --> 00:07:28,480 Speaker 3: the risk of leaving. 133 00:07:28,880 --> 00:07:33,119 Speaker 2: And with those people, are there certain areas from within 134 00:07:33,200 --> 00:07:36,320 Speaker 2: Australia that they're moving from? I mean, are they capital 135 00:07:36,360 --> 00:07:38,960 Speaker 2: cities like Sydney and Brisbane or are they other parts 136 00:07:39,000 --> 00:07:41,040 Speaker 2: of regional Australia that they're moving from? 137 00:07:41,160 --> 00:07:42,160 Speaker 1: Or do we not really know? 138 00:07:43,360 --> 00:07:45,840 Speaker 3: We do know. We get that information from the census, 139 00:07:45,840 --> 00:07:48,400 Speaker 3: and there is another sensus next this year. Actually it's 140 00:07:48,440 --> 00:07:53,240 Speaker 3: seven to anyone already. We obviously get larger numbers absolute 141 00:07:53,320 --> 00:07:56,840 Speaker 3: numbers coming from interstate from the big capital cities, but 142 00:07:56,880 --> 00:07:59,080 Speaker 3: when you look at it at a per capita basis, 143 00:07:59,520 --> 00:08:03,840 Speaker 3: we do generate, if you like, more per capita migrants 144 00:08:03,880 --> 00:08:08,600 Speaker 3: from places like North Queensland, Northern WA and rural South 145 00:08:08,640 --> 00:08:12,680 Speaker 3: Australia and rural New South Wales. So the thought there 146 00:08:12,800 --> 00:08:16,200 Speaker 3: is that once you've lived rural or remote, you're more 147 00:08:16,320 --> 00:08:19,680 Speaker 3: likely to be amenable to coming to a place like 148 00:08:19,680 --> 00:08:22,960 Speaker 3: the Northern territory and indeed possibly more likely to be 149 00:08:23,680 --> 00:08:24,640 Speaker 3: staying along a term. 150 00:08:25,360 --> 00:08:27,960 Speaker 2: I had wondered that, you know, I sort of I 151 00:08:28,040 --> 00:08:31,400 Speaker 2: figured that, you know, maybe the expectations as well of 152 00:08:31,480 --> 00:08:34,240 Speaker 2: some of those people moving from other regional or rural 153 00:08:34,280 --> 00:08:38,000 Speaker 2: parts of Australia. Their expectations sort of were a little 154 00:08:38,040 --> 00:08:41,880 Speaker 2: bit more moderate or normal, I suppose, than what they 155 00:08:41,960 --> 00:08:44,440 Speaker 2: may be if you move from a capital city like Melbourne. 156 00:08:46,000 --> 00:08:47,480 Speaker 3: Well, yeah, I guess it might be less of a 157 00:08:47,520 --> 00:08:50,439 Speaker 3: shock because if you've lived in Cansa or somewhere around 158 00:08:50,440 --> 00:08:53,120 Speaker 3: North Queensland, you're a used to tropical weather, you're used 159 00:08:53,160 --> 00:08:56,559 Speaker 3: to cyclones. They might not scare you as much, and 160 00:08:56,640 --> 00:08:59,120 Speaker 3: you've kind of lived in tropical housing and lived the 161 00:08:59,360 --> 00:09:03,520 Speaker 3: tropical life style. If you come from Mount iSER, for example, 162 00:09:03,720 --> 00:09:07,000 Speaker 3: and move to our springs, you've lived the desert lifestyle. 163 00:09:07,559 --> 00:09:09,960 Speaker 3: And I think that's important. And that's also reflected in 164 00:09:10,040 --> 00:09:14,000 Speaker 3: our overseas migrant figures before the pandemic in so far 165 00:09:14,080 --> 00:09:16,960 Speaker 3: as the fastest growing group and the largest group of 166 00:09:17,040 --> 00:09:20,400 Speaker 3: overseas born in our populations now those from the Philippines, 167 00:09:20,960 --> 00:09:23,199 Speaker 3: where the climate is kind of similar. 168 00:09:24,200 --> 00:09:28,880 Speaker 2: And Andrew Will Will this information be utilized by the 169 00:09:28,920 --> 00:09:32,040 Speaker 2: Northern Territory government at any point, you know, when it 170 00:09:32,080 --> 00:09:35,319 Speaker 2: comes to things like them trying to get skilled workers 171 00:09:35,360 --> 00:09:36,440 Speaker 2: to move to the territory. 172 00:09:37,679 --> 00:09:40,560 Speaker 3: Yeah, there's certainly we've pointed out a number of policy 173 00:09:40,600 --> 00:09:44,440 Speaker 3: areas where this research could be applied in processes like 174 00:09:44,520 --> 00:09:51,199 Speaker 3: the Economic Recovery that's the TOTO Economic Discovery Commission, and 175 00:09:51,320 --> 00:09:54,760 Speaker 3: in sort of sub areas within that, like attracting and 176 00:09:54,800 --> 00:09:58,800 Speaker 3: retaining skilled migrants. So, for example, if we if we 177 00:09:58,840 --> 00:10:01,920 Speaker 3: think we do now have as the research shows, a 178 00:10:02,040 --> 00:10:05,840 Speaker 3: kind of captive early career audience, let's look at ways 179 00:10:05,920 --> 00:10:09,480 Speaker 3: to encourage them to stay right out to five years. 180 00:10:09,559 --> 00:10:12,960 Speaker 3: When we know from our previous research in twenty nineteen 181 00:10:13,040 --> 00:10:16,680 Speaker 3: that the likelihood of them leading after five years drops again. 182 00:10:16,880 --> 00:10:19,679 Speaker 3: So there's a drop off in two years of residency 183 00:10:19,720 --> 00:10:21,800 Speaker 3: and then there's a bigger drop off in five years. 184 00:10:21,840 --> 00:10:25,200 Speaker 3: So let's think about how we can encourage people to 185 00:10:25,200 --> 00:10:28,839 Speaker 3: stay to that five years, especially those younger people. Yeah, 186 00:10:28,920 --> 00:10:32,640 Speaker 3: and get them to start families and hopefully have an 187 00:10:32,640 --> 00:10:35,920 Speaker 3: intergenerational effect on the population into the future. 188 00:10:36,120 --> 00:10:39,959 Speaker 2: Absolutely. Well, it's always good to catch up with you, Andrew. 189 00:10:40,000 --> 00:10:41,680 Speaker 2: I really appreciate your time this morning. 190 00:10:41,720 --> 00:10:43,480 Speaker 3: My pleasure Katy, thank you, thank you,