Antibody data for Wales is now published fortnightly in a separate release.
The Coronavirus (COVID-19) Infection Survey (CIS) is run across the whole of the UK and aims to estimate:
- how many people have the infection over a given time (positivity)
- how many new cases occur over a given period (incidence)
- how many people have antibodies to COVID-19
The survey helps track the extent of infection and transmission of COVID-19 among people in private residences, referred to as the community population.
Estimates of incidence are not currently being published as additional checks are being carried out due to low positivity rates.
Proportion of people in Wales who had COVID-19
This equates to around 1 in 830 individuals (95% credible interval: 1 in 1,890 to 1 in 460), or an estimated 3,700 people in total (credible interval: 1,600 to 6,600).
The percentage of people testing positive appears to have increased over the most recent two weeks, however the trend is uncertain in the most recent week.
As positivity rates are currently low in Wales, it is difficult to identify trends as they are more easily affected by small changes in the number of people testing positive from week to week.
Since the estimates are based on a relatively low number of positive tests, there is some uncertainty and the results should be interpreted with caution. Continued publication of official estimates will be determined by the ability to produce credible estimates.
Further information on the classification of positive cases can be found on the Office for National Statistics (ONS) website.
Please note that there is a greater lag in data from the infection survey than from other sources such as Public Health Wales.
Cases compatible with the Alpha variant, Delta variant and other variants continue to be monitored via the survey. Data on cases compliant with different variants can be found in the technical dataset on the ONS website.
Estimates for the countries of the UK
At the midpoint of the most recent week (13 to 19 June 2021), the estimated percentage of the community population with COVID-19 across the UK ranged from 0.12% in Wales to 0.46% in Scotland.
Rates have continued to increase across the UK in recent weeks. Although trends in positivity rates vary across the UK, the biggest increase can be seen in Scotland in the most recent week.
There is some uncertainty around the individual point estimates for the nations. Estimates for the last few days of the series, shown as dashed lines in the chart below, have more uncertainty.
| Positivity rates
(95% Credible Interval)
(0.05 to 0.22)
|1 in 830 people
(1 in 1,890 to 1 in 460)
(1,600 to 6,600)
(0.19 to 0.26)
|1 in 440 people
(1 in 520 to 1 in 380)
(103,900 to 142,500)
(0.32 to 0.64)
|1 in 220 people
(1 in 310 to 1 in 160)
(16,800 to 33,500)
(0.05 to 0.29)
|1 in 720 people
(1 in 2,070 to 1 in 340)
(900 to 5,400)
Source: Coronavirus (COVID-19) Infection Survey, Office for National Statistics
Cases compatible with variants
Cases identified as being compatible with known variants of Covid-19 based on their genetic patterns. Variants of Concern and Variants of Interest have recently been relabelled by the World Health Organisation (WHO). Further information on the identification of variants in the survey can be found on the ONS website.
This survey covers people living in private households only and this is referred to as the community population. Residents in hospitals, care homes and/or other institutional settings are excluded.
A confidence interval gives an indication of the degree of uncertainty of an estimate, showing the precision of a sample estimate. The 95% confidence intervals are calculated so that if we repeated the study many times, 95% of the time the true unknown value would lie between the lower and upper confidence limits. A wider interval indicates more uncertainty in the estimate. Overlapping confidence intervals indicate that there may not be a true difference between two estimates.
A credible interval gives an indication of the uncertainty of an estimate from data analysis. 95% credible intervals are calculated so that there is a 95% probability of the true value lying in the interval.
The number of new infections over a period of time.
Estimates of positivity from this survey are based on statistical modelling of the underlying data. The model smooths the series to understand the trend and is revised each week to incorporate new test results.
The headline point estimates are based on the modelled trend and are reflect the most representative reference point for the given week.
The estimated proportion of people who test positive for coronavirus (COVID-19) at a point in time, with or without symptoms, based on nose and throat swabs.
Quality and methodology information
The results of the survey are based on self-administered nose and throat swabs provided by participants to the study. A subgroup of participants also provide blood test, taken by trained field staff.
As well as looking at overall incidence, positivity and antibody level, the survey will be used to examine the characteristics of those testing positive for COVID-19 and the extent to which those infected experience symptoms. The results are for private households only and do not apply to those in hospitals, care homes or other institutional settings. This is referred to as the community population.
The survey covers all the countries of the UK, enabling estimates to be calculated for each country individually, and in time the UK as a whole.
Fieldwork started first in England on 26 April 2020 meaning there is more cumulative data available for England enabling more detailed analysis at present. Fieldwork began in Wales on 29 June 2020 followed by Northern Ireland on 26 July 2020 and Scotland on 21 September 2020.
It is important to note that there is a significant degree of uncertainty with the estimates. This is because, despite a large sample of participants, the number of positive cases identified is small. Estimates are provided with 95% credible or confidence intervals to indicate the range within which we may be confident the true figure lies.
The modelled estimates are carried out afresh each week using the previous 6 weeks’ data. The model works by smoothing the series to understand the trend and is revised each week to incorporate new test results. This means that the latest estimate for an earlier period may be different to the official estimate that was produced at the time. Chart 1 shows the latest modelled trend and the official (point) estimates that were published at the time.
The Office for National Statistics (ONS) publishes weekly statistical bulletins and references tables and periodic statistical articles which include results for England, Wales, Northern Ireland and Scotland as they become available. The estimates for Northern Ireland and Scotland are published by the respective administrations, as we do here for Wales.
Well-being of Future Generations Act (WFG)
The Well-being of Future Generations Act 2015 is about improving the social, economic, environmental and cultural well-being of Wales. The Act puts in place seven well-being goals for Wales. These are for a more equal, prosperous, resilient, healthier and globally responsible Wales, with cohesive communities and a vibrant culture and thriving Welsh language. Under section (10)(1) of the Act, the Welsh Ministers must (a) publish indicators (“national indicators”) that must be applied for the purpose of measuring progress towards the achievement of the Well-being goals, and (b) lay a copy of the national indicators before Senedd Cymru. The 46 national indicators were laid in March 2016.
Information on the indicators, along with narratives for each of the well-being goals and associated technical information is available in the Well-being of Wales report.
Further information on the Well-being of Future Generations (Wales) Act 2015.
The statistics included in this release could also provide supporting narrative to the national indicators and be used by public services boards in relation to their local well-being assessments and local well-being plans.
2 July 2021