What can we learn from different perspectives on risk?

I’m often asked during the course of my work how the Lloyd’s Register Foundation World Risk Poll – a global survey collating the safety concerns and experiences of hundreds of thousands of people across the world – differs from other publications that focus on risk. For instance, how do the Poll findings differ from those of the Global Risk Report (GRR), launched every year at Davos by the World Economic Forum (WEF). Why do these different perspectives matter?

Different viewpoints

The GRR uses a survey of top-down expert opinion (where the experts are from academia, civil society and business leaders) from 1,200 people in the WEF network. This panel are asked about risks that affect the global economy or population at a macro-level, in a similar manner to a number of other expert panel-based global risk assessments such as the AXA Future Risks Report. The insight garnered through this process is valued as an input to strategic planning by organisations across the world.

What the World Risk Poll offers, in comparison, is bottom-up granularity, giving governments, policymakers and businesses insight into the perceptions of people on the ground who are acutely affected by those risks day-to-day. A unique global study powered by the global polling experts, Gallup, the World Risk Poll surveys at least 1,000 people in each of 120-145 countries across the world. Respondents are chosen randomly, and the large sample size gives us the ability to extrapolate the results within different populations.

World Risk Poll questions delve into people’s perceptions and experiences of a number of everyday risks, as well as their greatest perceived risk and how safe they feel, before focusing in with multiple questions on specific risk areas of interest. The Poll also collects granular demographic information including sex, income and education level. It is very much a ‘bottom up’ barometer of perceptions and experiences of risk of everyday people around the world.

The most salient risks can look different from that perspective, and it’s vital to understand them from that angle to tactically target interventions and to identify and support minority groups who may be experiencing risks in ways that can get lost or overlooked from a macro perspective.

Another point of difference between the GRR and World Risk Poll is that the Poll generates data on both perception and experience of risk, and the difference between the two. The GRR focuses solely on perception – expert, informed perception, but perception nonetheless.

A forecast, and a snapshot in time

The WEF GRR is forward-looking, and identifies the most severe perceived risks to economies and societies over the next two years. The 2023 report concludes that in the short term, the world’s collective focus is being channelled into the “survival” of today’s concurrent crises: cost of living, social and political polarisation, food and energy supply, tepid growth, and geopolitical confrontation, among others.

The majority of World Risk Poll questions ask respondents about their recent experience of risk, or their current perception of a safety issue. The Poll therefore generates a snapshot in time of perceived and experienced risk. The Poll was conducted in 2019 and 2021, and we’re in the field again this year – so our data paints a contemporary ground-level picture of the crises presented in the 2023 GRR (for which the WEF survey was undertaken in 2022).

That’s not to say we’re not interested in future risks in the World Risk Poll – and as we plan our questions for future polls, we take into account emerging risks. For example, we’ve been taking the pulse on global perceptions of harm from artificial intelligence, and we also ask about the perceived future threat from climate change.

The World Risk Poll also asks respondents about how safe they feel now compared with five years ago – and we can use this question to trend feelings of safety in demographic groups, countries and regions around the world. We saw a small but significant increase in people feeling less safe between 2019 and 2021. The GRR asks a complementary question about anticipated volatility, or optimism, in the near and longer term, producing a forecast of short-term volatility which then settles into a picture of extremes in the longer term – with some stability and resilience, but also an increase in catastrophic outcomes.

Striking similarities

In spite of the different perspectives taken on risk, there are striking similarities in the findings of both surveys when you start to dig into the detail. Many of the trends reported in the GRR are reflected in responses to the World Risk Poll.

For example, the GRR highlights that health and economic after-effects of the pandemic have quickly spiralled into compounding crises. Meanwhile, World Risk Poll respondents ranked health concerns as their third greatest source of risk after road traffic and crime and violence, and over a third of respondents reported that they could only cover basic needs for less than a month if they lost their income. That was back in 2021 – and we anticipate that our 2023 results will show that this picture has worsened further.

The cost of living crisis, linked to the end of cheap debt, is also associated in the GRR with social unrest, and again the World Risk Poll sees these findings echoed by the voice of people around the world. Almost two in five people globally (37%) told us that their government doesn’t care about their wellbeing – a startling figure.

One risk that the World Risk Poll measures at a granular level, and which is reported in the ‘social risk’ section of the GRR, is harm to mental health. Our 2021 Poll saw a 5 percentage point increase globally in people’s experiences of mental health harm since 2019. The impact of Covid-19, and associated social restrictions, on mental health is much discussed, but must also be analysed in the context of compounding stressors such as violence, poverty and social isolation. It will be interesting to see whether worsening mental health is a continuing trend in our 2023 Poll.

The GRR also looks at the climate crisis, noting that carbon emissions have climbed as a result of our failure to mitigate climate change, and that the world is at greater risk of extreme weather events. Comparisons between the 2019 and 2021 World Risk Polls provide on the ground evidence of this, recording a 5 percentage point increase in experience of harm from severe weather globally.

In the face of these increased experiences of harm, it is worrying that the GRR predicts that economies and societies will not easily rebound from continued shocks. The World Risk Poll Resilience Index, constructed from data from the 2021 Poll, enables us to identify the most vulnerable communities, giving granular detail on where regions, countries and communities struggle at an individual, household, community or societal level. This insight will enable us to pinpoint where resilience lies and can be built on, strengthened, and replicated.

Intersectional risk

The GRR concludes that risks are interconnected, and warns of potential ‘polycrisis’ due to shortages in natural resources – food, water, metals, minerals – and their socioeconomic and environmental fallout. The World Risk Poll results also shows how risks are interconnected and compounding. Experience with serious harm from several risk sources (for example harm at work) was most common among those in their country’s lowest income groups, highlighting equity challenges in public services and infrastructure used to mitigate such risks.

The granular resilience data from the Poll enables identification of groups that are at particular risk. Women on low incomes in Afghanistan, for instance, and women on low incomes in rural central and western Africa, report particularly low levels of resilience. Key areas of variation lie in levels of community support, internet access and financial security – and where these are all absent, communities and individuals are particularly vulnerable. Such knowledge can help to anticipate points of vulnerability and head off crises before they arise. The lesson here is that strategies for addressing risk need to account for these connections and dependencies, whether at the macro or micro level.

A unique perspective

One of the most ambitious questions included in the World Risk Poll asks respondents about the biggest perceived source of risk to their safety in their daily lives. Notably, the biggest top-of-mind risks reported in the 2021 Poll – road crashes and crime and violence – are not things that really figure in the GRR.

Because we asked some of the same questions in the 2019 and 2021 Polls, we are also able to see changes over time in people’s risk perceptions. The Covid-19 pandemic was a huge global shock that happened after the first Poll was complete, and the Delta variant was still surging and receding while our 2021 Poll was in the field. Despite this, in 2021 Covid only made it to number four in the list of top-of-mind risks.

This data is telling us something fundamentally important – that it’s hard to make effective policy to address macro risks like Covid-19 and climate change unless you also see and understand the other more mundane risks that are influencing people’s behaviour day-to-day.

Effective policymaking also requires an understanding of how risk perceptions differ between demographics. For example, while the GRR recognises the threat from climate change, the World Risk Poll data enables us to understand how perceptions differ between men and women. While there is little difference at the global level, in high income countries women are more likely than men to say climate change is a serious threat to people in their country. Meanwhile, in low income countries the trend is reversed, with men more likely than women to recognise this threat.

These are things that have real consequences for efforts to tackle the issue, but which can only be fully seen and understood with the aid of the ground-level perspective of the World Risk Poll, rather than the helicopter-view of macro-level assessments such as the GRR alone. That’s not to say one perspective is better than the other. The important point is that they are different, and can therefore be used as complementary sources of information on risk. Policymakers and businesses alike would be well served to take into account both perspectives when making decisions.

Sarah Cumbers, Director of Evidence and Insight
Dr Sarah Cumbers
Director of Evidence and Insight
Lloyd's Register Foundation




The Experience of Harm Index

NationExperience IndexExperience Rank
Afghanistan31.4821
Albania20.1260
Algeria21.6749
Argentina16.3881
Armenia9.88123
Australia16.1983
Austria12.77104
Azerbaijan8.01132
Bahrain20.8055
Bangladesh15.0691
Belarus7.76134
Belgium13.43102
Benin31.3422
Bolivia20.8553
Bosnia Herzegovina10.40118
Botswana22.3546
Brazil23.3044
Bulgaria5.84138
Burkina Faso22.7245
Cambodia16.5480
Cameroon30.5226
Canada19.5164
Chad36.0410
Chile17.4874
China6.46137
Colombia20.8154
Congo Brazzaville36.357
Costa Rica17.2775
Croatia12.00108
Cyprus14.3295
Denmark10.96116
Dominican Republic25.7934
Ecuador17.5473
Egypt11.88111
El Salvador20.7656
Estonia9.67126
Ethiopia22.1848
Finland14.6993
France12.40106
Gabon36.516
Georgia11.38114
Germany12.50105
Ghana31.0225
Greece12.06107
Guatemala26.3933
Guinea29.2030
Honduras21.5951
Hong Kong9.51128
Hungary7.99133
India18.7668
Indonesia19.3765
Iran24.3141
Iraq36.338
Ireland16.5579
Israel18.6669
Italy15.5587
Ivory Coast33.8717
Jamaica20.1458
Japan10.15120
Jordan22.2547
Kazakhstan9.84124
Kenya34.2215
Kosovo14.1296
Kuwait15.3889
Kyrgyzstan10.93117
Laos17.8372
Latvia9.32130
Lebanon15.2590
Lesotho34.4514
Liberia46.641
Libya29.3929
Lithuania13.6199
Luxembourg18.4070
Macedonia19.5963
Madagascar31.0724
Malawi40.584
Malaysia19.8662
Mali24.6239
Malta13.8097
Mauritania20.1359
Mauritius21.1952
Mexico19.0567
Moldova18.3371
Mongolia10.04121
Montenegro19.3266
Morocco25.6035
Mozambique40.653
Myanmar11.41113
Namibia35.7511
Nepal28.7431
Netherlands15.4488
New Zealand15.9086
Nicaragua16.0484
Niger25.4636
Nigeria15.9785
Norway9.91122
Pakistan34.8013
Palestine21.6550
Panama23.5143
Paraguay20.5657
Peru24.7538
Philippines29.6228
Poland5.29139
Portugal16.8277
Romania8.06131
Russia9.34129
Rwanda32.0920
Saudi Arabia16.7078
Senegal34.0316
Serbia11.03115
Sierra Leone35.5912
Singapore3.91141
Slovakia13.52100
Slovenia11.93110
South Africa32.6318
South Korea9.58127
Spain16.8576
Sri Lanka13.50101
Swaziland31.3422
Sweden13.36103
Switzerland11.72112
Taiwan6.95136
Tajikistan9.71125
Tanzania24.4440
Thailand10.33119
Gambia36.089
Togo32.2219
Tunisia25.2537
Turkey14.5994
Turkmenistan4.44140
Uganda36.975
Ukraine7.43135
United Arab Emirates16.3881
United Kingdom13.6998
United States19.9961
Uruguay14.9992
Uzbekistan3.80142
Venezuela29.8227
Vietnam11.97109
Yemen27.3732
Zambia46.172
Zimbabwe23.6142

The Government Safety Performance Index

NationTrust IndexTrust Rank
Afghanistan28.60139
Albania42.12122
Algeria48.88111
Argentina47.41113
Armenia56.6789
Australia81.3217
Austria77.8125
Azerbaijan63.9361
Bahrain90.173
Bangladesh70.2940
Belarus64.7559
Belgium66.5754
Benin68.6745
Bolivia61.4474
Bosnia Herzegovina39.65126
Botswana81.2418
Brazil50.29103
Bulgaria40.26124
Burkina Faso64.8458
Cambodia62.8866
Cameroon50.21104
Canada79.3220
Chad46.65115
Chile38.97128
China80.0319
Colombia60.9375
Congo Brazzaville46.49116
Costa Rica74.8730
Croatia36.51131
Cyprus54.1197
Denmark81.3616
Dominican Republic67.4150
Ecuador59.2282
Egypt61.7973
El Salvador75.4628
Estonia60.0878
Ethiopia49.44107
Finland77.8824
France57.6386
Gabon36.44132
Georgia49.06109
Germany69.3144
Ghana62.4568
Greece45.43117
Guatemala62.8567
Guinea50.84102
Honduras59.2880
Hong Kong73.6733
Hungary74.4131
India73.3534
Indonesia86.746
Iran64.2960
Iraq31.56137
Ireland75.1929
Israel67.8949
Italy57.4787
Ivory Coast66.6253
Jamaica58.2084
Japan71.1738
Jordan66.4955
Kazakhstan69.3443
Kenya69.3842
Kosovo46.67114
Kuwait86.955
Kyrgyzstan56.2291
Laos54.8994
Latvia49.39108
Lebanon29.04138
Lesotho38.53129
Liberia43.22121
Libya61.9570
Lithuania44.79119
Luxembourg81.8015
Macedonia50.02105
Madagascar67.3251
Malawi59.0383
Malaysia82.7912
Mali51.68100
Malta81.8414
Mauritania33.79134
Mauritius73.1836
Mexico59.6179
Moldova44.46120
Mongolia47.62112
Montenegro40.76123
Morocco38.43130
Mozambique72.6137
Myanmar63.7862
Namibia63.2165
Nepal54.6095
Netherlands84.809
New Zealand79.3121
Nicaragua76.1526
Niger57.4588
Nigeria49.05110
Norway78.2923
Pakistan49.91106
Palestine60.8876
Panama70.3839
Paraguay39.87125
Peru51.37101
Philippines87.354
Poland57.9685
Portugal66.2156
Romania32.77136
Russia45.24118
Rwanda84.928
Senegal56.2690
Serbia55.5592
Sierra Leone59.2781
Singapore93.031
Slovakia61.9571
Slovenia67.9348
South Africa63.6063
South Korea63.3464
Spain62.0769
Sri Lanka74.2732
Swaziland78.5222
Sweden84.7210
Switzerland85.527
Taiwan68.6746
Tajikistan82.0113
Tanzania73.2935
Thailand60.2477
Gambia66.7052
Togo53.1198
Tunisia39.24127
Turkey54.5796
Uganda61.8572
Ukraine32.98135
United Arab Emirates92.762
United Kingdom75.4827
United States69.4841
Uruguay68.6347
Uzbekistan83.1211
Venezuela34.90133
Vietnam65.9157
Yemen25.27140
Zambia51.8099
Zimbabwe55.1193

The World Worry Index

NationWorry IndexWorry Rank
Afghanistan44.0465
Albania49.4739
Algeria42.5373
Argentina43.3568
Armenia31.77121
Australia28.83131
Austria36.4099
Azerbaijan35.13105
Bahrain34.04110
Bangladesh49.2642
Belarus30.33127
Belgium36.33100
Benin56.2123
Bolivia49.7437
Bosnia Herzegovina33.71112
Botswana48.6744
Brazil58.3413
Bulgaria31.64122
Burkina Faso54.1327
Cambodia47.1451
Cameroon50.4635
Canada32.31119
Chad56.5921
Chile54.6325
China30.92125
Colombia49.4041
Congo Brazzaville59.906
Costa Rica41.8378
Croatia33.34115
Cyprus51.6432
Denmark22.64139
Dominican Republic42.7772
Ecuador52.9530
Egypt37.4397
El Salvador41.6680
Estonia25.71137
Ethiopia35.49104
Finland26.18135
France41.1385
Gabon60.564
Georgia34.14108
Germany36.33100
Ghana54.5726
Greece42.2276
Guatemala45.9658
Guinea62.762
Honduras41.9977
Hong Kong38.0094
Hungary29.19129
India39.2588
Indonesia46.9053
Iran37.7495
Iraq49.2443
Ireland35.63103
Israel28.98130
Italy44.9761
Ivory Coast59.0710
Jamaica49.6638
Japan44.2863
Jordan43.6666
Kazakhstan33.48114
Kenya47.2150
Kosovo43.0270
Kuwait34.64107
Kyrgyzstan43.0969
Laos42.2875
Latvia33.51113
Lebanon47.9846
Lesotho60.564
Liberia58.2214
Libya39.6287
Lithuania26.04136
Luxembourg38.6192
Macedonia48.5845
Madagascar41.7479
Malawi62.593
Malaysia49.4640
Mali57.4018
Malta35.89102
Mauritania46.9852
Mauritius56.3822
Mexico45.8059
Moldova47.8748
Mongolia53.8228
Montenegro41.2284
Morocco53.1229
Mozambique64.841
Myanmar50.5834
Namibia50.3236
Nepal47.9647
Netherlands28.10133
New Zealand31.34123
Nicaragua33.24117
Niger41.5581
Nigeria39.1590
Norway23.16138
Pakistan59.129
Palestine42.4774
Panama46.3556
Paraguay43.4667
Peru57.6417
Philippines59.218
Poland29.34128
Portugal52.0531
Romania41.1086
Russia36.6398
Rwanda46.1657
Saudi Arabia33.81111
Senegal58.8911
Serbia33.29116
Sierra Leone56.0024
Singapore20.15141
Slovakia32.81118
Slovenia37.5896
South Africa57.9615
South Korea46.6254
Spain45.5260
Sri Lanka39.1989
Swaziland59.247
Sweden18.75142
Switzerland31.32124
Taiwan41.4683
Tajikistan28.07134
Tanzania44.1164
Thailand38.5393
Gambia57.3719
Togo56.9620
Tunisia42.9671
Turkey46.5455
Turkmenistan30.68126
Uganda50.8233
Ukraine34.65106
United Arab Emirates28.59132
United Kingdom32.26120
United States34.10109
Uruguay41.4782
Uzbekistan21.66140
Venezuela57.6616
Vietnam44.4162
Yemen38.7791
Zambia58.7712
Zimbabwe47.3049

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