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  • Green Data: Measuring the Environment

    Green Data: Measuring the Environment
    2024/08/02
    In this episode we explore how the ONS measures our natural environment and the green economy. Relevant datasets: ONS Environmental Accounts Transcript MILES FLETCHER Welcome again to Statistically Speaking, the official podcast of the UK’s Office for National Statistics. I'm Miles Fletcher and this time we're getting back to nature as we explore the work of the ONS in measuring the economic and social value of the natural environment. Is classical economic growth - as measured by gross domestic product or GDP - always achieved at the expense of the environment? What price can we put on the amenities our environment provides? What is the green economy and what are green jobs? And what are the key data to watch as policymakers strive for net zero carbon emissions, while also seeking to improve national prosperity? Our guides through the rich and perhaps under explored landscape of environmental data are ONS’s Deputy Director for Environmental Statistics Analysis, Ian Townsend; Head of Natural Capital Accounts, Gemma Thomas; and Sophie Barrand, Monetary Accounts lead in the Environmental Accounts team. Welcome to you all. Ian to come to you first. The ONS is mainly known for measuring the economy and the population of the UK. So, what exactly is its role when it comes to the environment? What are we seeking to achieve? What do we do? What do we publish? IAN TOWNSEND So the environment is quite a broad topic that links with a lot of other issues and a lot of different national and devolved government departments and other related bodies producing statistics on the environment. And with all that range of statistics, we tend to focus at the ONS on the intersections between our environment and both the economy and society. This includes measuring what we call the Low Carbon and renewable energy economy, how many green jobs there are, the greenhouse gas emissions produced by different economic sectors, and valuing the services that nature provides to us, as well as providing rapid insights into what people and business think about climate change in the environment and their actions or indeed otherwise. MF And what are the major publications that come out of the ONS that people ought to be looking at to get a sense of what we're saying about the environment and its value? IT So I mentioned a couple in the introduction there - things like low carbon and renewable energy economy, green jobs, etc... and our emissions figures. But perhaps one that is quite worth bringing to the fore is our natural capital accounts. So, it's something we've done for several years, which basically looks at the value that ecosystems provide to nature and ecosystems provide to us, and the services that provides. So, we bring this out as a report every year - have done so for several years - and that looks beyond the economy, beyond gross domestic product, to look at all those natural resources and we found that in 2021, the total value of all those natural assets was around one and a half trillion pounds. It’s such a big figure, I think it can be quite hard for people to grasp. But a useful comparison might be that it's not that far off the 1.7 trillion pounds that homes in the UK were valued at in 2021 as well. MF It's very difficult to arrive at a financial figure or value like that. Can you just give us a brief explanation of how it’s calculated? IT Sure. So, there are internationally agreed guidelines that we follow around how to measure or indeed account for the current value of what natural capital could provide for us and our current and future generations. And all that process, all those guidelines are aligned with how we measure the GDP in the economy. It's really quite a complex exercise and includes things like the value of trees, rivers, peatlands, and many other habitats and natural resources in them. We've been developing and improving these approaches for probably at least 10 years, and probably have some of the most developed accounts in this form globally. Our estimates have improved over the years. But there are some things that we don't cover. So, in a way, this is probably best seen as a kind of partial and minimum value, even though it's already very large. And it's also part of a wider mission that the ONS has to capture the value of what's called missing capital, things that we don't currently measure so well in gross domestic product. So that's including social capital as well as natural capital. So that's called ‘inclusive wealth’ and that's another publication the ONS produces that people might be interested to have a look at. MF And it's important, I guess, to have this economic value of the environment so that can be compared against the traditional measure of economic progress and prosperity, which of course is GDP. And it's sometimes – and we've heard this in other podcasts - because GDP is like...
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    35 分
  • AI: The Future of Data

    AI: The Future of Data
    2024/05/20
    With the public release of large language models like Chat GPT putting Artificial Intelligence (AI) firmly on our radar, this episode explores what benefits this technology might hold for statistics and analysis, as well as policymaking and public services. Joining host, Miles Fletcher, to discuss the groundbreaking work being done in this area by the Office for National Statistics (ONS) and across the wider UK Government scene are: Osama Rahman, Director of the ONS Data Science Campus; Richard Campbell, Head of Reproducible Data Science and Analysis; and Sam Rose, Deputy Director of Advanced Analytics and Head of Data Science and AI at the Department for Transport. Transcript MILES FLETCHER Welcome again to Statistically Speaking, the official podcast of the UK’s Office for National Statistics. I'm Miles Fletcher and, if you've been a regular listener to these podcasts, you'll have heard plenty of the natural intelligence displayed by my ONS colleagues. This time though, we're looking into the artificial stuff. We'll discuss the work being done by the ONS to take advantage of this great technological leap forward; what's going on with AI across the wider UK Government scene; and also talk about the importance of making sure every use of AI is carried out safely and responsibly. Guiding us through that are my ONS colleagues - with some of the most impressive job titles we've had to date - Osama Rahman is Director of the Data Science Campus. Richard Campbell is Head of Reproducible Data Science and Analysis. And completing our lineup, Sam Rose, Deputy Director of Advanced Analytics and head of data science and AI at the Department for Transport. Welcome to you all. Osama let's kick off then with some clarity on this AI thing. It's become the big phrase of our time now of course but when it comes to artificial intelligence and public data, what precisely are we talking about? OSAMA RAHMANSo artificial intelligence quite simply is the simulation of human intelligence processes by computing systems, and the simulation is the important bit, I think. Actually, people talk about data science, and they talk about machine learning - there's no clear-cut boundaries between these things, and there's a lot of overlap. So, you think about data science. It's the study of data to extract meaningful insights. It's multidisciplinary – maths, stats, computer programming, domain expertise, and you analyse large amounts of data to ask and answer questions. And then you think about machine learning. So that focuses on the development of computer algorithms that improve automatically through experience and by the use of data. So, in other words, machine learning enables computers to learn from data and make decisions or predictions without explicitly being programmed to do so. So, if you think about some of the stuff we do at the ONS, it's very important to be able to take a job and match it to an industrial classification - so that was a manually intensive process and now we use a lot of machine learning to guide that. So, machine learning is essentially a form of AI. MILES FLETCHERSo is it fair to say then that the reason, or one of the main reasons, people are talking so much about AI now is because of the public release of these large language models? The chat bots if you like, to simpletons like me, the ChatGPT’s and so forth. You know, they seem like glorified search engines or Oracles - you ask them a question and they tell you everything you need to know. OSAMA RAHMANSo that's a form of AI and the one everyone's interested in. But it's not the only form – like I said machine learning, some other applications in data science, where we try in government, you know, in trying to detect fraud and error. So, it's all interlinked. MILES FLETCHERWhen the ONS asked people recently for one of its own surveys, about how aware the public are about artificial intelligence, 42% of people said they used it in their home recently. What sort of things would people be using it for in the home? What are these everyday applications of AI and I mean, is this artificial intelligence strictly speaking? OSAMA RAHMANIf you use Spotify, or Amazon music or YouTube music, they get data on what music you listen to, and they match that with people who've been listening to similar music, and they make recommendations for you. And that's one of the ways people find out about new music or new movies if you use Netflix, so that's one pretty basic application, that I think a lot of people are using in the home. MILES FLETCHERAnd when asked about what areas of AI they'd like to know more about, more than four in 10 adults reported that they'd like to know better how to judge the accuracy of information. I guess this is where the ONS might come in. Rich then, if I could just ask you to explain what we've been up to, what the Data Science Campus has been up to, to actually bring the power of artificial intelligence to our ...
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    34 分
  • Communicating Uncertainty: How to better understand an estimate.

    Communicating Uncertainty: How to better understand an estimate.
    2024/03/25
    The ONS podcast returns, this time looking at the importance of communicating uncertainty in statistics. Joining host Miles Fletcher to discuss is Sir Robert Chote, Chair of the UKSA; Dr Craig McLaren, of the ONS; and Professor Mairi Spowage, director of the Fraser of Allander Institute. Transcript MILES FLETCHER Welcome back to Statistically Speaking, the official podcast of the UK’s Office for National Statistics. I'm Miles Fletcher and to kick off this brand new season we're going to venture boldly into the world of uncertainty. Now, it is of course the case that nearly all important statistics are in fact estimates. They may be based on huge datasets calculated with the most robust methodologies, but at the end of the day they are statistical judgments subject to some degree of uncertainty. So, how should statisticians best communicate that uncertainty while still maintaining trust in the statistics themselves? It's a hot topic right now and to help us understand it, we have another cast of key players. I'm joined by the chair of the UK Statistics Authority Sir Robert Chote, Dr. Craig McLaren, head of national accounts and GDP here at the ONS, and from Scotland by Professor Mairi Spowage, director of the renowned Fraser of Allander Institute at the University of Strathclyde. Welcome to you all. Well, Sir Robert, somebody once famously said that decimal points in GDP is an economist’s way of showing they've got a sense of humour. And well, that's quite amusing - particularly if you're not an economist - there's an important truth in there isn't there? When we say GDP has gone up by 0.6%. We really mean that's our best estimate. SIR ROBERT CHOTE It is. I mean, I've come at this having been a consumer of economic statistics for 30 years in different ways. I started out as a journalist on the Independent and the Financial Times writing about the new numbers as they were published each day, and then I had 10 years using them as an economic and fiscal forecaster. So I come at this very much from the spirit of a consumer and am now obviously delighted to be working with producers as well. And you're always I think, conscious in those roles of the uncertainty that lies around particular economic estimates. Now, there are some numbers that are published, they are published once, and you are conscious that that's the number that stays there. But there is uncertainty about how accurately that is reflecting the real world position and that's naturally the case. You then have the world of in particular, the national accounts, which are numbers, where you have initial estimates that the producer returns to and updates as the information sets that you have available to draw your conclusions develops over time. And it's very important to remember on the national accounts that that's not a bug, that's a feature of the system. And what you're trying to do is to measure a very complicated set of transactions you're trying to do in three ways, measuring what the economy produces, measuring incomes, measuring expenditure. You do that in different ways with information that flows in at different times. So it's a complex task and necessarily the picture evolves. So I think from the perspective of a user, it's important to be aware of the uncertainty and it's important when you're presenting and publishing statistics to help people engage with that, because if you are making decisions based on statistics, if you're simply trying to gain an understanding of what's going on in the economy or society, generally speaking you shouldn't be betting the farm on the assumption that any particular number is, as you say, going to be right to decimal places. And the more that producers can do to help people engage with that in an informed and intelligent way, and therefore mean that decisions that people take on the basis of this more informed the better. MF So it needs to be near enough to be reliable, but at the same time we need to know about the uncertainty. So how near is the system at the moment as far as these important indicators are concerned to getting that right? SRC Well, I think there's an awful lot of effort that goes into ensuring that you are presenting on the basis of the information set that you have the best available estimates that you can, and I think there's an awful lot of effort that goes into thinking about quality, that thinks about quality assurance when these are put together, that thinks about the communication how they mesh in with the rest of the, for example, the economic picture that you have, so you can reasonably assure yourself that you're providing people with the best possible estimate that you can at any given moment. But at the same time, you want to try to guide people by saying, well, this is an estimate, there's no guarantee that this is going to exactly reflect the real world, the more that you can do to put some sort of numerical...
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    33 分
  • ONS: Year in Review 2023

    ONS: Year in Review 2023
    2023/12/21
        In this episode Miles is joined by the National Statistician, Sir Ian Diamond, to reflect on what has been a busy and transformative year at the Office for National Statistics.    Transcript    MILES FLETCHER  This is “Statistically Speaking”, the official podcast of the UK Office for National Statistics, I’m Miles Fletcher. This is our 20th episode, in fact, a milestone of sorts, though not a statistically significant one. What is significant is that we're joined, once again, to look back at the highlights from another 12 months here at the ONS by none other than the National Statistician himself, Professor Sir Ian Diamond. Ian, thanks for joining us again. The year started for you with being reappointed as the national statistician. As 2023 developed, how glad did you feel to be back?   SIR IAN DIAMOND  Of course, you know, I was hugely privileged to be invited to continue. It's one of the most exciting things you could ever do and I will continue to do everything in my power to bring great statistics to the service of our nation.   MF  To business then, and this time last year, we sat in this very room talking about the results of Census 2021, which were coming in quite fresh then. And we've seen the fastest growth of the population, you told us, since the baby boom of the early 1960s. Over the course of the year much more data has become available from that census and this time, we've been able to make it available for people in much richer ways, including interactive maps, create your own data set tools. What does that say about the population data generally and the way that people can access and use it now? How significant is that there's that sort of development?   SID  Well I think we need to recognise that the sorts of things that we can do now, with the use of brilliant technology, brilliant data science and brilliant computing is enabling us to understand our population more, to be able to make our data more accessible. 50, 60, 70 years ago, 150 years ago, we would have just produced in about six or seven years after the census, a report with many, many tables and people would have just been able to look at those tables. Now, we're able to produce data which enables people to build their own tables, to ask questions of data. It’s too easy to say, tell me something interesting, you know, the population of Dorset is this. Okay, that's fine, but actually he wants to know much more about whether that's high or low. You want to know much more about the structure of the population, what its needs for services are, I could go on and on. And each individual will have different questions to ask of the data, and enabling each individual to ask those questions which are important to them, and therefore for the census to be more used, is I think, an incredibly beautiful thing.   MF  And you can go onto the website there and create a picture...   SID  Anyone can go onto the website, anyone can start to ask whatever questions they want of the data. And to get very clearly, properly statistically disclosed answers which enable them to use those data in whatever way they wish to.   MF  And it's a demonstration of obviously the richness of data that's available now from all kinds of sources, and behind that has been a discussion of, that's gone on here in the ONS and beyond this year, about what the future holds for population statistics and how we can develop those and bring those on. There's been a big consultation going on at the moment. What's the engagement with that consultation been like?   SID  Well the engagement's been great, we’ve had around 700 responses, and it addresses some fundamental questions. So the census is a really beautiful thing. But at the same time, the census, the last one done the 21st of March 2021, was out of date by the 22nd of March 2021, and more and more out of date as you go on and many of our users say to us, that they want more timely data. Also by its very nature a census is a pretty constrained data set. We in our country have never been prepared to ask for example, income on the census yet this is one of the most demanded questions. We don't ask it because it is believed that it is too sensitive. And so there are many, many, many questions that we simply can't ask because of space. There are many more questions that we simply cannot ask in the granularity that we want to. We've been doing some work recently to reconcile the differences between estimates in the number of Welsh speakers from surveys with estimates on the number of people in the census who report they speak Welsh. Frankly, it would be better if we were able to ask them to get information in a more granular way. And so while the census is an incredibly beautiful thing, we also need to recognise that as time goes on, the technology and the availability of data allowing us to link data becomes much more of a great opportunity that we have been ...
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    27 分
  • Health: Preparing for the next global pandemic

    Health: Preparing for the next global pandemic
    2023/11/20
      The ONS led the way informing the UK response to the Coronavirus pandemic. But what lessons can be learned and how can we best prepare not only ourselves, but the rest of the world, for the next pandemic?     Transcript  MILES FLETCHER  This is Statistically Speaking, the Office for National Statistics (ONS) Podcast. I'm Miles Fletcher, and as we approach the darkest months of winter, we're revisiting COVID-19.   Now the ONS doesn't do predictions, and we're certainly not forecasting a resurgence of the virus, either here in the UK or anywhere else. But pandemic preparedness has been the driving force behind two important pieces of work that we're going to be talking about this time. Looking beyond our shores, how well equipped now is the world in general to spot and monitor emerging infections? We'll hear from Josie Golding of the Wellcome Trust on that, including how even weather events like El Nino could affect the spread of viruses. We'll also talk to my ONS colleague, Joy Preece about the pandemic preparedness toolkit, a five-year project backed by Wellcome to create and develop resources that will help countries with health surveillance in the event of future pandemics.   But first, and closer to home, a new UK winter surveillance study to gather vital data on COVID-19 is now well underway. Jo Evans is its head of operations. Jo, this is a brand new COVID-19 survey the ONS is running in partnership with the UK Health Security Agency (UKHSA). What is the new survey and what's it going to be monitoring over the winter?  JO EVANS  So this is now the winter COVID infection study. And we're going to be going out to, I think we've got 145,000 people signed up, and we're going to ask them to take a lateral flow test to see if they are testing positive for COVID-19. Then we'll ask them to tell us a little bit about how they're feeling, what symptoms they have and some other household information - what work do they do? Do they have caring responsibilities? And so on.   MF  So we're gonna be getting people to take a test and everyone's familiar of course now with administering their own lateral flow test, that wasn't the case back in the early days of the pandemic, when it was a new thing for the vast majority of us. So they'll take a test that'll tell us whether they are positive or negative for COVID-19. And on top of that, we're going to be gathering data in the form of a questionnaire.   JE  That's right. And then this is a collaboration this time, so we'll be working with the UKHSA. I mean, we've worked with them on the COVID infection study before, but this time what we'll be doing is looking at those responses of how many people are telling us that they have COVID-19 And we'll be trying to understand that by where people live or their age group and so on, but we'll be sharing that information with UKHSA and they will then be looking at what the impact is on hospitals. So what they call the infection hospitalisation rate, how many people are going into hospital because they have COVID, so it'll really help us understand what pressures there are on the NHS over this winter period.  MF  And that will give us some inkling, once again, about how many people are infected but not actually displaying any symptoms?  JE  Absolutely. And we do ask people about their symptoms and if they tell us they test positive, we'll then be sending them a second questionnaire, a follow up, asking them to keep testing until they get two consecutive negative tests so that we can see how long they are testing positive, but we'll also ask them how long did their symptoms last and did they need to go and see a doctor, did they take any medication, so really trying to understand how they're experiencing that period of illness.  MF  So during those critical winter months, that'll give us some insight into what's really going on on-the- ground and in communities.   JE  That's right and we're running this study from November right through to March so that we can understand that, because COVID, unlike flu, it's not a seasonal virus, but we know that the NHS really suffers through the winter with those increased pressures, with more people needing their services. And this is about understanding what's happening out there. In the community, and what impact that is having on our healthcare services.  MF  Another very important aspect of that is we're going to be monitoring for people who say they're suffering the symptoms of what is popularly known as long-COVID, ongoing impacts of the virus, and that will fill a very important evidence gap won’t it.  JE  Absolutely. We will in a follow up questionnaire be asking people how long they've had COVID for and whether they have long-COVID. And interestingly, in some research we did when we were designing the questionnaire, long-COVID sufferers told us that they know precisely what date their ...
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    32 分
  • Communicating Statistics: Crossing the minefields of misinformation.

    Communicating Statistics: Crossing the minefields of misinformation.
    2023/10/05
    In this episode we talk about the growth of data use in the media and the potential impact of misinformation on the public’s trust in official statistics.   Navigating podcast host Miles Fletcher through this minefield is Prof Sir David Spiegelhalter, from the University of Cambridge; Ed Humpherson, Head of the Office for Statistics Regulation; and award-winning data journalist Simon Rogers.    Transcript    MILES FLETCHER  Welcome again to Statistically Speaking, the official podcast of the UK’s Office for National Statistics, I'm Miles Fletcher. Now we've talked many times before in these podcasts about the rise of data and its impact on our everyday lives. It's all around us of course, and not least in the media we consume every day. But ‘what’ or ‘who’ to trust: mainstream media, public figures and national institutions like the ONS, or those random strangers bearing gifts of facts and figures in our social media feeds?  To help us step carefully through the minefields of misinformation and on, we hope, to the terra firma of reliable statistical communication, we have three interesting and distinguished voices, each with a different perspective. Professor Sir David Spiegelhalter is a well-known voice to UK listeners. He's chair of the Winton Centre for Risk Evidence Communication at the University of Cambridge and was a very prominent voice on the interpretation of public health data here during the COVID pandemic. Also, we have Ed Humpherson, Director General of regulation and head of the Office for Statistics Regulation (OSR), the official stats watchdog if you like, and later in this podcast, I'll be joined by award winning data journalist and writer Simon Rogers, who now works as data editor at Google.  Professor, you've been one of the most prominent voices these last few years – a fascinating few years, obviously, for statistics in which we were told quite frankly, this was a golden age for statistics and data. I mean, reflecting on your personal experience as a prominent public voice in that debate, when it comes to statistics and data, to be very general, how well informed are we now as a public, or indeed, how ill-informed on statistics?     DAVID SPIEGELHALTER  I think things have improved after COVID. You know, for a couple of years we saw nothing but numbers and graphs on the news and in the newspapers and everywhere, and that went down very well. People didn't object to that. In fact, they wanted more. And I think that has led to an increased profile for data journalism, and there's some brilliant ones out there. I'm just thinking of John Burn-Murdoch on the FT but lots of others as well, who do really good work. Of course, in the mainstream media there is still the problem of non-specialists getting hold of data and getting it wrong, and dreadful clickbait headlines. It is the sub editors that wreck it all just by sticking some headline on what might be a decent story to get the attention and which is quite often misleading. So that's a standard problem. In social media, yeah, during COVID and afterwards, there are people I follow who you might consider as - I wouldn't say amateurs at all, but they're not professional pundits or media people - who just do brilliant stuff, and who I've learned so much from. There are also some terrible people out there, widespread misinformation claims which are based on data and sound convincing because they have got numbers in them. And that, I mean, it's not a new problem, but now it is widespread, and it's really tricky to counter and deal with, but very important indeed.     MF  So the issue aside from - those of us who deal with the media have heard this a hundred times - “I don't write the headlines”, reporters will tell you when you challenge that misleading kind of headline. But would you say it’s the mainstream media then, because they can be called out on what they report, who broadly get things right? And that the challenge is everything else - it's out there in the Wild West of social media?     DS  Yeah, mainstream media is not too bad, partly because, you know, we've got the BBC in this country, we’ve got regulations, and so it's not too bad. And social media, it's the Wild West. You know, there are people who really revel in using numbers and data to make inappropriate and misleading claims.     MF  Is there anything that can be done? Is it the government, or even those of us like the ONS who produce statistics, who should we be wading in more than we do? Should we be getting out there onto the social media platforms and putting people right?     DS  It's difficult I mean, I don't believe in sort of censorship. I don't think you can stop this at source at all. But just because people can say this, it doesn't give them a right for it to be broadcast wide, in a way and to be dumped into people's feeds. And so my main problem is ...
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    49 分
  • International Development: Growing a Global Statistical System

    International Development: Growing a Global Statistical System
    2023/08/29
    In this episode, we explore ONS’s work with other countries to raise the world's statistical capabilities.    Transcript  MILES FLETCHER  Hello and welcome again to ‘Statistically Speaking’, the Office for National Statistics’ Podcast. I'm Miles Fletcher, and in this episode we're going international.   Now it hardly needs saying that global issues, climate change, population growth, inflation, to name a few are best understood and addressed with the benefit of good global statistics. So, to that end, the ONS works in partnership with a number of countries worldwide with the ultimate aim of raising the world's statistical capabilities. At the one end of Africa, for example, a continent where it’s deeply involved, that includes embedding state of the art inflation indices and other economic data in Ghana. On the other side of the continent, it's meant using AI and machine learning to track the movement of displaced populations in Somalia. How do you run a census in places where nobody has a permanent address?   It's all fascinating work and here to tell us about it, Emily Poskett, Head of International Development at the ONS; Tim Harris of the ONS Data Science Campus’s international development team; and joining us from Accra, our special guest, Government Statistician of the Republic of Ghana and head of the Ghanaian Statistical Service Professor Samuel Annim.  Emily then, to start give us the big overview if you would, set out for us the scale and the purpose of this international development work that the ONS is doing.    EMILY POSKETT  We work with countries around the developing world to support strong modern statistical systems wherever we see a suitable opportunity to do so.     MF  What form does that work take? Does it mean statisticians going out to these countries?     EP  Yes, it does, when that's the right way to go about things. So our work is usually through the form of medium-term partnerships with a small group of national statistical offices, or NSOs, from the developing world, and those partnerships are medium term over a number of years in order to build up a real understanding of the context in that country, that national statistical office’s vision for modernization and how the ONS can be of most help to achieve their own goals under their own strategy.   That relationship will normally be led by a particular individual who spends time getting to know the context and getting to know the people, getting to know what ONS can do to help. A partnership might cover a range of topic areas from census to data science to leadership training to economic statistics, and the lead point of contact, the strategic advisor in many cases, will bring in the relevant experts from across ONS, and they'll work through virtual collaboration but also through on-site visits, and they will work out the best timing for those and the best delivery modality in order to ensure that the gains are sustained. Our primary focus really is to make sure that changes that we support in the partner organisation are sustainable, and the work that ONS does using the UK’s aid budget is really impactful and leads to long term change.   We don't always work through direct partnerships, for example where we see opportunities to work alongside other organisations, so international institutions like the World Bank or other national statistics offices like Statistics Canada or Statistics Sweden, they might choose to bring us in to deliver small pieces of focussed technical assistance alongside their own programmes. One of our medium-term partnerships is with the United Nations Economic Commission For Africa (UNECA), and they work with all 54 countries of Africa, and they can choose to bring in our expertise alongside their own to target particular needs in particular countries. But I would say that 70% of our effort is through these medium-term partnerships.     MF  So the ONS is providing one part of a large patchwork of work, going on right across the developing world, but what is the ultimate purpose of that? What are all these countries trying to achieve together?     EP  Well, strong statistical systems are essential in all countries to aid effective planning and informed decision making. And this is even more important in developing countries where resources are often scarce and you're trying to use scarce resources to target a wide range of needs across the population. And that resource might include UK aid for example, and aid from other countries. The UK has been statistical capacity building for many, many years through different modalities, working with partners, and the ONS is just one implementing partner who can be called upon to provide that technical expertise. We're really proud to be a partner of choice for a number of developing countries and the ONS is seen worldwide as being a leader. We're really proud that ...
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    34 分
  • In The Field: Surveying the nation

    In The Field: Surveying the nation
    2023/07/31
    In this episode we chat to members of the ONS Social Survey Collection Division about the importance, and challenges, of getting the general public to take part in crucial surveys that help paint a picture of what life is like across Britain.   Transcript  MILES FLETCHER  Welcome again to ‘Statistically Speaking’, the official podcast of the UK’s Office for National Statistics. I’m Miles Fletcher.   Now I don’t know about you - but it seems hardly a moment passes these days when we are not being asked to feed back. How was our service today? Are you satisfied with this product?  Please fill in this short survey. Your responses matter.  Well, forgive the natural bias, but today we’re talking about surveys that really do matter.   ONS surveys – some of which are the very largest conducted regularly in the UK – don’t just inform economic and social policy, though they are hugely important to it. The data they gathered also represent a public resource of immense and unique value.   But persuading people – some unaware, some sceptical and even hostile, others just very busy – to take part in them is a growing challenge for statistical institutions worldwide.       In this episode then we’ll be discussing how the ONS gathers often personal data from members of the public right up and down the country.   Taking time out of their day to answer my questions, and to explain why it’s absolutely crucial that you participate in our surveys if you get the opportunity to do so, are Emma Pendre and Beth Ferguson, who head up the ONS’s face-to-face Field Operations;   and sharing their own personal experiences of life on other people’s doorsteps we have two of the ONS’s top Field Interviewers, Tammy Fullelove and Benjamin Land.  Welcome to you all.  Emma, if I come to you first – give us an idea of what exactly the field community in ONS is. Who are you and what do you do?   EMMA PENDRE  The Social Survey Collection Division is the largest division in ONS. We primarily collect data from households either online, face to face or by telephone using computer assisted interviewing, and also work at air, sea and rail ports collecting data from passengers. All the data collected is used to produce quite a number of our key ONS publications which help to paint a picture of what life is like in the UK. And these can include things like estimates of employment and unemployment, how we measure inflation, how we measure migration, and a key topic of interest at the moment is the cost of living. So while most of ONS relies on the data that we collect for our outputs and statistical bulletins, the statistics that we particularly generate also support research, policy development and decision making across government and other private sector businesses as well.   MF  Now Beth, bringing you in here, when it comes to household surveys, presumably someone's deciding which households are going to be approached to take part. Who makes those decisions and how is it done?   BETH FERGUSON So I'm not going to pretend to understand the clever people in the statistics team who work out how we get the right people to cover a broad spectrum of society. But yes, that's done by the sampling team and they choose a random sample for the surveys.   MF  And that's generated presumably from using the electoral roll.   BF  It's generated from something called PAF which is the Post Office Address Finder. I'll have to confirm exactly what that stands for. Yes, but essentially, it's a list of addresses across England, Scotland and Wales.   MF  And when it comes to the passenger survey, it's a question of stopping what we hope will be a representative random sample of people as they pass through those ports.   BF  Yes, it is. Yeah. But at the moment we're currently working on departures and arrivals. So yes, it's a random sample of individuals stopped and asked questions.   MF  But to make the data really representative and really valid, of course, we've got to be covering the whole of the country. The country in this case being Great Britain.  How do we ensure that that coverage is working day in day out?   BF  That's our role as the kind of management of the face-to-face field interviewers. Different surveys are done over different frequencies. So we've got the Labour Force Survey and the transformed Labour Force Survey which addresses are issued for on a weekly basis and those surveys are delivered on a weekly basis. And then we've also got our other longer, more detailed financial surveys that we’re issued with a quota for on a monthly basis. So our job is to make sure we've got the right people, in the right places, to knock on the right doors, to get hold of those members of the public and, you know, encourage them to agree to complete surveys for us.   MF  And luckily for us we’re joined by two ...
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