• Skip to primary navigation
  • Skip to main content
  • Skip to footer
The Resilience Institute

The Resilience Institute

Resilience training and research

  • Business Solutions
    • Rise: Digital Resilience Toolkit
    • Precision Resilience Training
    • Measure Workplace Resilience
  • Try Resilience Diagnostic v5
  • Free Events
  • Resources
    • Articles and Insights
    • Research Reports
    • Resilience Podcast
    • Our Books
  • About
    • Our Global Team
    • Our Purpose
    • Our Story
    • Careers
    • In the Press
    • Company Updates
Contact UsVisit our French website

COVID-19 Resilience Report

Executive Summary

We analyse resilience assessment data through the Covid-19 pandemic on 10,687 people. This enables us to evaluate the impact of interventions, track resilience factors and understand how well OECD countries have fared through the pandemic.

QUICK LINKS

  1. Resilience interventions improve human factors in adversity
  2. How global resilience has changed through the Covid-19 pandemic
  3. Case study: New Zealand employee resilience has declined while the world bounces
  4. Conclusions
  5. Key Messages

While global human factor scores mostly increase through the pandemic some regions, such as New Zealand, have reduced.

Comparing regional responses to the pandemic shows markedly different human responses to the challenge with Europe leading and NZ, with the US and Canada, trailing behind.

Data
Method

n=10,687

The data we draw on comes from organisations who are taking a proactive approach to human factors assessment and development. This means participants have been employed and work for a supportive organisation. However, with longitudinal data from similar populations over a perioid of significant adversity, the trends are clear.

The data is collected from our secure and psychometrically validated Resilience Diagnostic assessment. This tool measures 60 human factors relating to an individual’s mental health, wellbeing, emotional intelligence and cognitive skills. To track the impact of training we measure pre vs post assessment scores. To track trends over time we measure only pre assessment data (no training).

To evaluate change over time we sampled first assessment (PRE-ASSESSMENT) data from three periods: September 2019 to February 2020 (PERIOD 1), March 2020 to August 2020 (PERIOD 2), and September 2020 to February 2021 (PERIOD 3).

To evaluate the impact of digital resilience interventions we sampled data from first assessments between March 2020 and August 2020 (PRE-ASSESSMENT) and follow up assessments completed between September 2020 and February 2021 (POST-ASSESSMENT).

The Good, the Bad and the Ugly

1. Resilience interventions improve human factors in adversity

While many organisations stop investments in people through a business downturn, some continue to invest. How have they benefited from their investment?

Those who invested got positive results in every population group. While the gains from pre to post assessment are moderate, all risks reduce and all strengths – apart from Compassion in female participants – increase.

In New Zealand we see a significantly more positive jump in most of the factors measured. In particular, Anxiety and Worry, reduce markedly and more than in other regions. On the strength side, we see improvement in fulfilment. Again, better than global data.

If employee mental health, wellbeing, and engagement are important, it is abundantly clear that New Zealand organisations are getting a good response from their investment.

Both the female and under 30 populations, who start with lower scores, show the most positive improvements. In particular, the gain in resilience ratio and percentage reduction in number at risk (a score of less than 1.1) is significant. This is an important investment for younger people and women in the workplace. Reductions in Worry and Fatigue are notable in all groups as are the gains in Bounce and Sleep quality. See tables 1 and 2 below.

Table 1: NZ data showing the percentage improvement in ratios, people at risk and factors.

NEW ZEALANDALLFEMALEMALEUNDER 30
Resilience Ratio1.55 – 1.871.46 – 1.901.61 – 1.861.32 – 1.83
R Ratio change21%30%16%39%
Percentage at risk-35%-52%-20%-54%
KEY RISKS    
Anxiety-19%-23%-15%-29%
Loss of joy-12%-16%-10%-4%
Hostility-10%-11%-10%-10%
Worry-17%-24%-13%-41%
Fatigue-8%-9%-7%-3%
KEY STRENGTHS    
Bounce+6%+11%+3%+15%
Sleep quality+13%+10%+16%+8%
Positivity+6%+10%+4%+22%
Focus+5%+11%+1%+20%
Fulfilment+12%+20%+8%+34%
Compassion+1%-2%+5%+11%

Table 2: Global data showing the percentage improvement in ratios, people at risk and factors.

GLOBAL PRE – POST GAINSALLFEMALEMALEUNDER 30
Resilience Ratio1.61 – 1.881.55 – 1.831.68 – 1.941.41 – 1.67
R Ratio change17%18%15%18%
Percentage at risk-29%-33%-27%-49%
KEY RISKS    
Anxiety-10%-11%-9%-7%
Loss of joy-6%-6%-5%-5%
Hostility-9%-9%-9%-9%
Worry-10%-10%-10%-13%
Fatigue-12%-11%-13%-14%
KEY STRENGTHS    
Bounce+7%+7%+7%+7%
Sleep quality+9%+9%+9%+6%
Positivity+5%+6%+5%+5%
Focus+5%+7%+2%+6%
Fulfilment+6%+7%+6%+7%
Compassion+2%+0%+3%+7%

2. How global resilience has changed through the Covid-19 pandemic

This is one of the most important questions of our time. Humanity as a whole has confronted a pandemic with multiple interacting impacts on our jobs, lives and health. If we believe the media, the impact – particularly on our mental health – is catastrophic.

Our data does not support this hypothesis globally. In fact, most people have responded well to this adversity. They are actively bouncing forward and rebuilding their resilience as measured by 60 human factors. Globally, we are more adaptive and stronger.

Our New Zealand data shows the opposite. Resilience ratios and human factor scores have dropped consistently across the three periods as shown in table 1 below.

The disruption to New Zealand life and work was significantly less than the northern hemisphere lockdowns, morbidity and mortality. Yet our human factors show us becoming less adaptive and more fragile. Our resilience is failing, while our colleagues bounce and get stronger. The media appears correct in the New Zealand case.

NEW ZEALANDSEP 19 – FEB 20 (1)MAR 20 – AUG 20 (2)SEP 20 – FEB 21 (3)
FULL SAMPLE1.601.551.44
FEMALE1.561.461.43
MALE1.631.611.45
UNDER 301.491.321.39
Table 3: New Zealand data across the three periods measured (n = 1,912)
GLOBALSEP 19 – FEB 20 (1)MAR 20 – AUG 20 (2)SEP 20 – FEB 21 (3)
FULL SAMPLE1.511.611.58
FEMALE1.471.551.52
MALE1.551.681.63
UNDER 301.411.411.45
Table 4: Global data across the three periods measured (n = 10,687) and includes NZ data. Green shows better than global averages, while red shows worse than global.

We have analysed the data by region to assess how each region has changed over the same period. In table 5, we rank the different regions in which we conducted the assessments by the lowest ratios in the last period. Europe shows a strong response while New Zealand shows a marked decline. WhileUSA/Canada region has the lowest starting point, there is growth.

Chart by Visualizer
RESILIENCE RATIOSSEP 19 – FEB 20 (1)MAR 20 – AUG 20 (2)SEP 20 – FEB 21 (3)
GLOBAL1.511.611.58
EUROPE1.681.681.65
SOUTH EAST ASIA1.521.621.61
AUSTRALIA1.501.601.60
UK1.531.731.59
NZ1.601.551.44
USA CAN1.271.401.41
Table 5: Global resilience ratio scores across the three periods measured (n = 10,687)


3. New Zealand employee resilience has declined while the world bounces

We selected a small sample of key factors from the questionnaire, to understand what has changed. Remember these all come from pre assessments, before any training has started. Globally, risks have reduced, and strengths have increased.

In New Zealand, these same factors have changed in a negative direction. This is true for female, male and under 30 populations. In almost every case, our risks scores are increasing, and our strength scores are decreasing. This is opposite to the trends we see globally. For participants under 30, the difference is marked.

Anxiety and Worry are factors correlated with anxiety disorders. Loss of Joy and Fatigue are correlated with depression. Hostility and Rumination are correlated with Anger. This are all risks that can undermine human wellbeing and resilience.

Bounce, Sleep Quality, Positivity, Focus, Fulfilment and Compassion are all strength factors that correlate with wellbeing and resilience.

In all of these factors, New Zealand data trends lower through the period of Covid even though, some scores are initially higher. Why have human factors trended in negative directions despite a relatively mild Covid-19 disruption? Other regions show a positive response to a much more severe outbreak as measured by mortality, morbidity and economic disruption. We encourage readers to reflect on what this means. See table 6 below.

Table 6: Comparing data from different regions across the three periods measured (n = 1,912)

Global FactorsSEP 19 – FEB 20 (1)MAR 20 – AUG 20 (2)SEP 20 – FEB 21 (3)
ANXIETY / WORRY (risk)Anxiety   WorryAnxiety   WorryAnxiety   Worry
Europe1.86         2.321.97         2.351.99         2.41
South East Asia2.31         2.942.03         2.372.19         2.63
Australia2.16         2.592.04         2.452.04         2.50
United Kingdom2.11         2.791.96         2.661.99         2.56
USA Canada2.41         2.832.27         2.722.35         2.88
New Zealand2.00         2.482.05         2.552.08         2.54
LOSS JOY / FATIGUE (risk)Loss Joy  FatigueLoss Joy FatigueLoss Joy Fatigue
Europe1.63         2.681.71         2.491.74         2.53
South East Asia1.89         2.691.69         2.481.94         2.51
Australia1.73         2.761.66         2.581.72         2.53
United Kingdom1.76         2.621.63         2.441.84         2.59
USA Canada2.05         2.661.96         2.571.93         2.65
New Zealand1.69         2.491.79         2.501.93         2.62
HOSTILITY/RUMINATION (risk)Hostil      RuminHostil      RuminHostil      Rumin
Europe1.68         1.801.75         1.881.75         1.99
South East Asia188          2.131.84         1.891.77         2.08
Australia1.87         2.261.84         2.201.79         2.22
United Kingdom1.97         2.261.87         2.121.92         2.22
USA Canada2.20         2.732.03         2.382.14         2.40
New Zealand1.85         2.221.93         2.301.95         2.40
BOUNCE / SLEEP (strength)Bounce  SleepBounce  SleepBounce  Sleep
Europe3.33         2.933.31         3.033.29         2.95
South East Asia3.20         2.763.17         2.873.24         3.04
Australia3.07         2.653.13         2.823.15         2.87
United Kingdom3.17         2.983.60         2.973.24         2.90
USA Canada2.69         2.452.91         2.562.93         2.62
New Zealand3.22         2.813.22         2.823.05         2.59
POSTIVITY / FOCUS (strength)Postivity FocusPostivity FocusPostivity Focus
Europe3.40         3.563.35         3.573.39         3.57
South East Asia3.54         3.453.31         3.413.43         3.55
Australia3.17         3.343.31         3.363.19         3.38
United Kingdom3.30         3.433.34         3.493.20         3.47
USA Canada2.84         2.902.98         3.132.92         3.09
New Zealand3.19         3.373.17         3.343.06         3.14
FULFILMENT/COMPASSION (St)Fulfil        CompasFulfil        CompasFulfil        Compas
Europe3.38         3.563.37         3.613.35         3.47
South East Asia3.35         3.503.27         3.463.30         3.44
Australia3.08         3.423.27         3.543.21         3.29
United Kingdom3.15         3.433.37         3.623.09         3.40
USA Canada2.68         31.42.88         3.182.85         3.48
New Zealand3.19         3.353.06         3.442.99         3.29

Conclusions

The Good

New Zealand employers who have invested in Resilience Assessment and Training – almost all of which has been digital – are seeing clear and measurable improvements in almost all factors of resilience. The resilience ratios are increasing. The number of people at risk is decreasing. Anxiety and Worry have dropped markedly post-training. Fulfilment has increased markedly post training. The response of New Zealand employees is generally better than our global sample. People can learn to bounce, grow, connect and discover flow.

The Bad

When we measure resilience and human factor scores over time – September 2019 to February 2021, New Zealand resilience has declined over this period. In contrast, globally scores on the same assessment have actually increased. Ironically, New Zealand started at a slightly higher position pre-covid and ended lower when compared with global data.

One wonders how people who do not have support from their organisation are coping, let alone those who have lost their jobs.

The Ugly

New Zealand is celebrated as the country with the best COVID-19 response. Our people have been relatively unscathed when compared with the covid impact in our major markets such as UK, Europe and the US. Yet, we have not responded as positively.

While global data shows strong bounce and growth under adversity, New Zealand has failed to bounce and appears to be more fragile.

Where is our bounce? How is it that employees in supportive organisations are seeing their resilience decline over time? Both Stanford Medical and Noah Yuval Harari have recently cautioned against extreme lockdowns.

How resilient would we be if COVID-19 resurges?

Where do we go from here?

Key Messages

Patterns of resilience in sustained adversity (Coronavirus Pandemic)

Tracking resilience scores over the past eighteen months in three defined periods – Pre-Covid (1), Early Covid (2) and Late Covid (3), demonstrates regional differences. Pre-Covid Europe and New Zealand had the highest ratios. While Europe sustained its resilience through the following periods, New Zealand actually dropped markedly. South-East Asia, Australia, UK and the US all increased their resilience through these periods. Interestingly the USA/Canada region started and finished at the lowest level.

RESILIENCE RATIOSSEP 19 – FEB 20 (1)MAR 20 – AUG 20 (2)SEP 20 – FEB 21 (3)
GLOBAL1.511.611.58
EUROPE1.681.681.65
SOUTH EAST ASIA1.521.621.61
AUSTRALIA1.501.601.60
UK1.531.731.59
NZ1.601.551.44
USA CAN1.271.401.41
Table 5: Global resilience ratio scores across the three periods measured (n = 10,687)

Questions: It appears that strictly enforced lockdowns (New Zealand, UK (period 3) and Europe (period 3) correlate with reductions in employee resilience. Despite significant disruption due to morbidity and mortality in US, Canada, UK and Europe, we see resilience being sustained and increasing. As demonstrated in a paper from Stanford in December 2020, mandatory stay-at-home and business closures are not justified (https://onlinelibrary.wiley.com/doi/epdf/10.1111/eci.13484).

Global growth in resilience

The tables below show the growth of strength factors measured pre and post training and the reduction in risk factors. The Growth ratio is calculated as difference between mean pre and post scores divided by standard deviation. N = 1,385.

Growth in strength factors post training (n = 1,385)

Reduction in risk factors post training (n = 1,385)

Essential services outperform those working from home

Interestingly, Food production, an industry that has been deemed an essential service, shows the most significant growth in resilience after training. This suggests that business closure has a marked effect on resilience growth.

The positive impact of New Zealand interventions to support bounce and growth

Examining as sample of Pre-training assessments in the first six months of Covid with Post-training assessments in the second six months, demonstrates the gains in resilience scores achieved with digital interventions. These include the individual reports and recommendations, training videos, practice tips and webinars. In this case, we see that New Zealand employees enjoy a very positive return on the investment by their employers.

NZ data showing the percentage improvement in ratios, people at risk and factors.

NEW ZEALANDALLFEMALEMALEUNDER 30
Resilience Ratio1.55 – 1.871.46 – 1.901.61 – 1.861.32 – 1.83
Ratio change+21%+30%+16%+39%
Percentage at risk-35%-52%-20%-54%
KEY RISKS    
Anxiety-19%-23%-15%-29%
Worry-17%-24%-13%-41%
KEY STRENGTHS    
Positivity+6%+10%+4%+22%
Focus+5%+11%+1%+20%
Fulfilment+12%+20%+8%+34%

It is notable that the most marked gains were achieved in under thirty and female populations. Both these groups started lower than average and showed significantly more gains that the average and male populations.

The reductions in Anxiety and Worry which are both associated with anxiety disorders, is marked. Fulfilment, of our leading predictors of high resilience, increaseas in all groups. Young people secure large gains in Positivity and Focus as well.


Critical strength factors to build through adversity

Over the past four years we have tracked the resilience factors that correlate with the highest levels of resilience. The selected factors have strong psychometrics, established correlations with high resilience ratios, and are scored high by those in the top 10% of resilience scores.

We rank them in terms of the difference between the top 10% and bottom 10% of scores.

For example, in the case of presence in 2020, 96% of people in the top 10% of resilience ratios score this factor as ‘very often’ or ‘nearly always’. In comparison, only 6% of those in the bottom 10% of resilience ratios, score this factor as ‘very often’ or ‘nearly always’.

While there are small variations over time, there is a clear signal that helping people to bounce, grow, connect and find flow can be accelerated if we focus on the right skills to build. Right now, there is a call to action for Presence, Fulfilment, Focus, Bounce, Optimism and Vitality.

Critical strength factors to support through adversity

Factors 2017 (n = 21,000)High     (Low)Factors 2019 (n = 7,780)High            (Low)Factors 2020 (n = 7,739)High (Low)
Focus94        (4)Fulfilment90        (1)Presence96        (6)
Purpose 96        (8)Focus94        (5)Fulfilment92        (2)
Fulfilment91        (4)Presence95        (8)Focus94        (6)
Optimism95        (9)Bounce89        (4)Bounce88        (4)
Vitality95        (9)Integrity96        (14)Optimism94        (11)
Presence98        (13)Decisiveness94        (13)Vitality95        (15)

Critical risk factors to support through adversity

Factors 2017 (n = 21,000)High     (Low)Factors 2019 (n = 7,780)High            (Low)Factors 2020 (n = 7,739)High (Low)
Fatigue2          (54)Worry1          (66)Worry2          (66)
Intensity19        (73)Fatigue0          (65)Fatigue1          (63)
Worry1          (52)Self Critical13        (76)Self Critical16        (72)
Self Critical8          (61)Rumination0          (58)Rumination0          (56)
Overload2          (49)Hypervigilance2          (52Anxiety1          (50)
Apathy0          (41)Anxiety1          (51)Apathy0          (49)

In the same way, we can identify which risks the top 10% manage well as compared to the lowest 10%. This should encourage organisation and wellbeing solutions to focus on understanding and mastering Worry, Fatigue, Self Critical, Ruminatin, Anxiety and Apathy.


The message to younger populations

It is clear from our data across all regions that resilience ratio increases with age. It is no surprise that the resilience ratio for people under thirty is lower than all other groups. This is particularly marked in New Zealand.

The five key stengths that young people lag behind on, includes Assertiveness, Purpose, Focus, Decisiveness and Tactical Calm. The five risks where young people stuggle include Uncertainty, Boredom, Worry, Rumination and Sleep Delay.


The message to female participants

Female participants lag behind the average on the following strengths: Decisiveness, Tactical Calm, Impulse Control, Fitness and Assertiveness. Post training, we see a marked growth (30% or more) in Relaxation, Assertiveness, Contemplation, Decisiveness, Sleep Quality, Fitness, Purpose and Impulse Control. This demonstrates training is meeting the needs of this group in strength building.

The risks where female participants struggle include: Chronic Distress Symptoms, Fatigue, Self Doubt, Sloth and Apathy. Post training, we see a marked reduction (~30%)  in risks such as Self Critical, Fatigue, Self Doubt, Sloth and Chronic Symptoms. Once again, training is meeting the needs of this growth.

Ready for resilience?

We support thousands of organizations worldwide with precision training programs and our evidence-based digital toolkit. Our global team of resilience experts will be delighted to discuss your needs and share best practice tools for building resilient leaders and teams.

Footer

The Resilience Institute

Offices in Switzerland, France, United Kingdom, United States, Canada, South East Asia, Australia, New Zealand, South Africa.

[email protected]

  • Cookie Policy
  • Exercise Your Rights
  • GDPR
  • Privacy Policy
  • Terms and Conditions
  • Referral Program
  • About Us
  • Careers
  • Contact
  • Our Global Team

Newsletter

Get the latest news, events and announcements straight to your inbox.

  • Email
  • LinkedIn

Copyright © 2023 The Resilience Institute.  Return to top

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept All”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent.
Cookie SettingsAccept All
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
CookieDurationDescription
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Others
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
SAVE & ACCEPT