This release was compiled during the COVID-19 pandemic. For further information on the methodology applied in this release see the Technical Note on Monthly Unemployment Estimates and COVID-19 that was published alongside the August 2020 Monthly Unemployment Estimate release. For more information please also see the Press Statement Monthly Unemployment November 2020 and the Information Note on Implications of COVID-19 on the Live Register and the Monthly Unemployment Estimates.
| Seasonally Adjusted Figures | Non Seasonally Adjusted Figures | |||||
| Number of persons unemployed | Unemployment rate (%) | Traditional Unemployment rate (%) | COVID-19 Adjusted Unemployment rate (%) | |||
| November 2019 | 115,100 | 4.7 | - | - | ||
| October 2020 | 180,000 | 7.2 | 6.9 | 20.2 | ||
| November 2020 | 186,900 | 7.5 | 6.9 | 21.0 | ||
| Percentage Points | Percentage Points | Percentage Points | ||||
| Change in month | 6,900 | 0.3 | 0.0 | 0.8 | ||
| Change in year | 71,800 | 2.8 | - | - | ||
The COVID-19 crisis has continued to have a significant impact on the labour market in Ireland in November 2020. While the standard measure of Monthly Unemployment was 7.5% in November 2020, the COVID-19 Adjusted Measure of Unemployment could indicate a rate as high as 21.0% if all claimants of the Pandemic Unemployment Payment (PUP) were classified as unemployed.
The application of the standard methodology gives a seasonally adjusted Monthly Unemployment Rate of 7.5% for November 2020, up from 7.2% in October 2020 and up from 4.7% in November 2019. The seasonally adjusted number of persons unemployed was 186,900 in November 2020, compared to 180,000 in October 2020. When compared to November 2019, there was an annual increase of 71,800 in the seasonally adjusted number of persons unemployed. In November 2020, the Monthly Unemployment Rate was 7.2% for males and 7.8% for females, see Table 1(a).
Breaking the results down by broad age group, the traditional Monthly Unemployment Rate for those aged 15 to 24 years was 20.2% in November 2020, while it was 5.7% for those aged 25 to 74 years, see Tables 1(b) and 1(c).
The methodology for the standard Monthly Unemployment Estimates (MUE) involves forecasting the number of persons who are unemployed using the trend in the Live Register. Please see the Technical Note published alongside the August 2020 release which outlines minor changes made to the methodology used for results presented in this release following analysis of recent recipient and non-recipient claims in the Live Register Series.
As well as the standard Monthly Unemployment Estimates for November 2020, this release also presents an alternative COVID-19 adjusted unemployment measure to estimate the share of the labour force in November 2020 that were not working due to unemployment or who were out of work due to COVID-19 and receiving the PUP. These estimates are presented in Table A1.
The lower bound of Monthly Unemployment rates and volumes presented in Table A1 are the non-seasonally adjusted estimates for November 2020 based on the standard methodology. These lower bounds are based on the assumption that none of those in receipt of the PUP would have been classified as unemployed if the payment did not exist.
If all claimants of the PUP were classified as unemployed, the upper bound, or COVID-19 Adjusted Measure of Unemployment indicates a rate of 19.8% for males and 22.5% for females in November 2020. Breaking the results down by broad age group, the new COVID-19 Adjusted Measure of Unemployment is 47.3% for those aged 15 to 24 years and 17.4% for those aged 25 to 74 years. See Table A1.
The CSO first published the COVID-19 Adjusted Measure of Unemployment in April 2020 as part of the March 2020 Monthly Unemployment Estimates release. At the time, the COVID-19 income supports were set up as temporary measures to protect those who lost income from employment due to COVID-19.
Those benefitting from the TWSS, having an attachment to their employer, would continue to be classified as Employed using the internationally agreed criteria for reporting on official labour market status. It was not possible to ascertain how those in receipt of the PUP would be classified using the labour market status criteria. Because of this, the CSO established the COVID-19 Adjusted Measure of Unemployment as an upper bound measure for unemployment.
This COVID-19 adjusted measure assumes that all those who are in receipt of the PUP would be classified as Employed for the standard measure on Monthly Unemployment and considers them as Unemployed for the COVID-19 Adjusted Measure of Unemployment. This assumption would have been accurate in March when those who started benefitting from the scheme were required to have lost income from employment to be eligible to receive the payment. The assumption is unlikely to hold now given that the scheme has been extended and some recipients would now be in receipt of it for more than eight months.
The CSO has been working with the Department of Social Protection (DSP) to obtain additional data which captures the impact of COVID-19 on the labour market. Using the online mywelfare.ie service, information has been captured on whether recipients of the PUP were a full-time student either at second-level or third-level for the current academic year. As most recipients have used this online service to either apply for a PUP or to self-certify their details to continue receiving the payment, analysis of the online information provided shows that at least 7.4% of PUP recipients have self-certified themselves as being registered as a full-time student. For those aged 25 years and over this could be as low as 2.0% while it is at least 23.2% for those aged under 25 years.
This analysis indicates that caution needs to be exercised when interpreting the COVID-19 Adjusted Measure of Unemployment particularly for those aged under 25 years. If the PUP scheme did not exist, those persons, being in full-time education, would not be eligible to receive Unemployment Assistance or Unemployment Benefit and so would not be included in the methodology to estimate the traditional measure of monthly unemployment.
While, it is not possible to ascertain how those in receipt of the PUP in November would be classified in terms of official labour market status, any changes to the methodology for the COVID-19 Adjusted Measure of Unemployment, including consideration of their education status, would result in a lower rate than the current methodology. Information is not currently available to establish the status of those who are currently in receipt of the PUP based on the International Labour Organisation (ILO) definitions for employment and unemployment. Thus, the CSO have decided to continue with the previous methodology for the COVID-19 Adjusted Measure of Unemployment. It is important for users to note that it is a short-term measure and is designed to be an upper bound rate.
The CSO will continue to evaluate the Live Register series as well as the current and any new income support schemes to determine whether any additional changes are required to the methodology for the traditional or COVID-19 adjusted estimates. Any changes the CSO may make to the methodology in the future will be clearly outlined to users in the statistical release and accompanying material.
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Data in this release are subject to revision, caused by updates to the seasonally adjusted series, whenever new monthly data are added. In addition, it should be noted that larger revisions can occur when the most recent Labour Force Survey (LFS) data are included in the calculation process. For further information on COVID-19 Adjusted Measure of Unemployment, please refer to our Technical Note (updated for August 2020) and Information Note. |
| Table 1a Seasonally adjusted monthly unemployment by sex - All persons aged 15-74 years | |||||||||
| Number of persons | Unemployment rate (%) | ||||||||
| Males | Females | All Persons | Males | Females | All Persons | ||||
| 2018 | November | 71,600 | 63,900 | 135,500 | 5.5 | 5.8 | 5.6 | ||
| December | 71,400 | 60,100 | 131,500 | 5.5 | 5.4 | 5.5 | |||
| 2019 | January | 70,100 | 53,200 | 123,300 | 5.4 | 4.8 | 5.1 | ||
| February | 69,800 | 50,200 | 120,000 | 5.3 | 4.5 | 5.0 | |||
| March | 69,900 | 51,600 | 121,500 | 5.4 | 4.6 | 5.0 | |||
| April | 69,800 | 55,400 | 125,200 | 5.3 | 5.0 | 5.2 | |||
| May | 70,000 | 56,200 | 126,200 | 5.4 | 5.1 | 5.2 | |||
| June | 69,900 | 55,300 | 125,300 | 5.3 | 5.0 | 5.2 | |||
| July | 70,000 | 52,700 | 122,700 | 5.3 | 4.7 | 5.1 | |||
| August | 69,200 | 50,600 | 119,700 | 5.3 | 4.5 | 4.9 | |||
| September | 67,100 | 49,900 | 117,000 | 5.1 | 4.4 | 4.8 | |||
| October | 63,500 | 50,300 | 113,800 | 4.8 | 4.5 | 4.7 | |||
| November | 63,500 | 51,600 | 115,100 | 4.8 | 4.6 | 4.7 | |||
| December | 65,100 | 53,000 | 118,100 | 4.9 | 4.7 | 4.8 | |||
| 2020 | January | 68,600 | 54,400 | 123,000 | 5.1 | 4.7 | 4.9 | ||
| February | 67,900 | 53,800 | 121,700 | 5.1 | 4.7 | 4.9 | |||
| March | 66,600 | 54,400 | 121,000 | 5.1 | 4.9 | 5.0 | |||
| April | 61,400 | 47,100 | 108,500 | 4.8 | 4.4 | 4.6 | |||
| May | 61,200 | 48,600 | 109,700 | 4.9 | 4.6 | 4.8 | |||
| June | 66,200 | 56,000 | 122,300 | 5.3 | 5.3 | 5.3 | |||
| July | 77,600 | 70,100 | 147,700 | 6.0 | 6.3 | 6.2 | |||
| August | 84,500 | 79,400 | 163,900 | 6.4 | 7.0 | 6.7 | |||
| September | 91,800 | 87,400 | 179,200 | 6.9 | 7.6 | 7.2 | |||
| October | 92,400 | 87,600 | 180,000 | 6.9 | 7.6 | 7.2 | |||
| November | 97,000 | 89,900 | 186,900 | 7.2 | 7.8 | 7.5 | |||
| Table 1b Seasonally adjusted monthly unemployment by sex - persons aged 15-24 years | |||||||||
| Number of persons | Unemployment rate (%) | ||||||||
| Males | Females | All Persons | Males | Females | All Persons | ||||
| 2018 | November | 22,800 | 15,300 | 38,100 | 14.8 | 11.6 | 13.4 | ||
| December | 22,500 | 15,000 | 37,500 | 14.6 | 11.4 | 13.1 | |||
| 2019 | January | 21,500 | 14,400 | 35,800 | 14.1 | 10.6 | 12.5 | ||
| February | 21,500 | 14,400 | 35,900 | 14.2 | 10.3 | 12.4 | |||
| March | 22,900 | 14,600 | 37,500 | 15.1 | 10.5 | 12.9 | |||
| April | 24,000 | 15,100 | 39,100 | 16.1 | 10.8 | 13.5 | |||
| May | 24,900 | 15,500 | 40,400 | 16.7 | 11.1 | 14.0 | |||
| June | 24,300 | 15,500 | 39,800 | 16.1 | 11.2 | 13.7 | |||
| July | 23,000 | 15,000 | 38,000 | 14.9 | 11.0 | 13.1 | |||
| August | 21,300 | 14,500 | 35,900 | 13.8 | 10.7 | 12.4 | |||
| September | 19,700 | 14,500 | 34,200 | 12.9 | 10.4 | 11.7 | |||
| October | 17,100 | 14,400 | 31,500 | 11.4 | 10.1 | 10.8 | |||
| November | 17,300 | 14,200 | 31,500 | 11.5 | 9.8 | 10.7 | |||
| December | 19,000 | 14,600 | 33,600 | 12.3 | 9.9 | 11.1 | |||
| 2020 | January | 22,600 | 14,600 | 37,200 | 13.7 | 9.7 | 11.8 | ||
| February | 22,100 | 15,000 | 37,100 | 13.6 | 10.1 | 11.9 | |||
| March | 20,500 | 16,100 | 36,700 | 13.4 | 11.7 | 12.6 | |||
| April | 15,800 | 17,100 | 32,900 | 12.1 | 14.1 | 13.1 | |||
| May | 14,900 | 18,600 | 33,500 | 12.4 | 16.2 | 14.2 | |||
| June | 17,500 | 20,800 | 38,300 | 14.2 | 17.6 | 15.9 | |||
| July | 24,800 | 22,600 | 47,300 | 18.1 | 17.3 | 17.7 | |||
| August | 28,600 | 23,200 | 51,900 | 19.6 | 16.8 | 18.2 | |||
| September | 33,700 | 26,300 | 60,100 | 21.7 | 17.9 | 19.9 | |||
| October | 32,800 | 25,200 | 58,000 | 21.4 | 16.9 | 19.2 | |||
| November | 36,600 | 26,300 | 62,900 | 23.2 | 17.2 | 20.2 | |||
| Table 1c Seasonally adjusted monthly unemployment by sex - persons aged 25-74 years | |||||||||
| Number of persons | Unemployment rate (%) | ||||||||
| Males | Females | All Persons | Males | Females | All Persons | ||||
| 2018 | November | 48,700 | 48,700 | 97,400 | 4.3 | 5.0 | 4.6 | ||
| December | 48,900 | 45,100 | 94,000 | 4.3 | 4.6 | 4.4 | |||
| 2019 | January | 48,600 | 38,900 | 87,500 | 4.2 | 4.0 | 4.1 | ||
| February | 48,300 | 35,900 | 84,100 | 4.2 | 3.7 | 3.9 | |||
| March | 47,100 | 36,900 | 84,000 | 4.1 | 3.8 | 3.9 | |||
| April | 45,800 | 40,300 | 86,100 | 4.0 | 4.1 | 4.0 | |||
| May | 45,100 | 40,600 | 85,700 | 3.9 | 4.2 | 4.0 | |||
| June | 45,700 | 39,800 | 85,500 | 3.9 | 4.1 | 4.0 | |||
| July | 47,100 | 37,600 | 84,700 | 4.1 | 3.9 | 4.0 | |||
| August | 47,800 | 36,000 | 83,900 | 4.1 | 3.7 | 3.9 | |||
| September | 47,400 | 35,400 | 82,800 | 4.1 | 3.6 | 3.9 | |||
| October | 46,400 | 35,900 | 82,300 | 4.0 | 3.6 | 3.8 | |||
| November | 46,200 | 37,300 | 83,600 | 3.9 | 3.8 | 3.9 | |||
| December | 46,200 | 38,400 | 84,600 | 3.9 | 3.9 | 3.9 | |||
| 2020 | January | 46,000 | 39,800 | 85,700 | 3.9 | 4.0 | 3.9 | ||
| February | 45,700 | 38,800 | 84,600 | 3.9 | 3.9 | 3.9 | |||
| March | 46,100 | 38,300 | 84,300 | 4.0 | 3.9 | 3.9 | |||
| April | 45,500 | 30,000 | 75,600 | 4.0 | 3.2 | 3.6 | |||
| May | 46,300 | 29,900 | 76,200 | 4.1 | 3.2 | 3.7 | |||
| June | 48,700 | 35,200 | 84,000 | 4.3 | 3.7 | 4.0 | |||
| July | 52,800 | 47,500 | 100,400 | 4.6 | 4.9 | 4.7 | |||
| August | 55,900 | 56,200 | 112,100 | 4.8 | 5.7 | 5.2 | |||
| September | 58,100 | 61,100 | 119,200 | 4.9 | 6.1 | 5.5 | |||
| October | 59,600 | 62,400 | 122,000 | 5.0 | 6.2 | 5.6 | |||
| November | 60,400 | 63,600 | 124,100 | 5.1 | 6.3 | 5.7 | |||
| Table A1 Covid-19 Adjusted Monthly Unemployment Estimates classified by sex and age group | |||||||||
| Number of persons out of work1 | Monthly Unemployment Rate %1 | ||||||||
| Month | Males | Females | Total | Males | Females | Total | |||
| November 2020 | Persons aged 15-74 years | Lower Bound (Traditional MUR) | 91,231 | 82,360 | 173,591 | 6.8 | 7.1 | 6.9 | |
| Upper Bound (COVID-19 Adjusted MUR) | 265,774 | 259,241 | 525,015 | 19.8 | 22.5 | 21.0 | |||
| Persons aged 15-24 years | Lower Bound (Traditional MUR) | 31,572 | 21,405 | 52,977 | 20.8 | 14.4 | 17.6 | ||
| Upper Bound (COVID-19 Adjusted MUR) | 73,026 | 69,316 | 142,342 | 48.0 | 46.6 | 47.3 | |||
| Persons aged 25-74 years | Lower Bound (Traditional MUR) | 59,659 | 60,955 | 120,614 | 5.0 | 6.1 | 5.5 | ||
| Upper Bound (COVID-19 Adjusted MUR) | 192,748 | 189,925 | 382,673 | 16.2 | 18.9 | 17.4 | |||
| October 20202 | Persons aged 15-74 years | Lower Bound (Traditional MUR) | 89,707 | 81,942 | 171,649 | 6.7 | 7.1 | 6.9 | |
| Upper Bound (COVID-19 Adjusted MUR) | 253,418 | 248,222 | 501,640 | 18.9 | 21.7 | 20.2 | |||
| Persons aged 15-24 years | Lower Bound (Traditional MUR) | 30,958 | 22,493 | 53,451 | 20.2 | 15.1 | 17.7 | ||
| Upper Bound (COVID-19 Adjusted MUR) | 69,644 | 67,400 | 137,044 | 45.3 | 45.3 | 45.3 | |||
| Persons aged 25-74 years | Lower Bound (Traditional MUR) | 58,749 | 59,449 | 118,198 | 5.0 | 6.0 | 5.4 | ||
| Upper Bound (COVID-19 Adjusted MUR) | 183,774 | 180,822 | 364,596 | 15.5 | 18.1 | 16.7 | |||
| September 20202 | Persons aged 15-74 years | Lower Bound (Traditional MUR) | 92,247 | 85,149 | 177,396 | 6.9 | 7.5 | 7.2 | |
| Upper Bound (COVID-19 Adjusted MUR) | 210,618 | 183,920 | 394,538 | 15.7 | 16.1 | 15.9 | |||
| Persons aged 15-24 years | Lower Bound (Traditional MUR) | 33,692 | 26,600 | 60,292 | 20.8 | 17.6 | 19.3 | ||
| Upper Bound (COVID-19 Adjusted MUR) | 57,669 | 48,175 | 105,844 | 35.7 | 31.8 | 33.8 | |||
| Persons aged 25-74 years | Lower Bound (Traditional MUR) | 58,555 | 58,549 | 117,104 | 5.0 | 5.9 | 5.4 | ||
| Upper Bound (COVID-19 Adjusted MUR) | 152,949 | 135,745 | 288,694 | 13.0 | 13.7 | 13.3 | |||
| August 20202 | Persons aged 15-74 years | Lower Bound (Traditional MUR) | 91,354 | 89,168 | 180,522 | 6.9 | 7.8 | 7.3 | |
| Upper Bound (COVID-19 Adjusted MUR) | 208,919 | 196,559 | 405,478 | 15.7 | 17.3 | 16.4 | |||
| Persons aged 15-24 years | Lower Bound (Traditional MUR) | 33,255 | 29,249 | 62,504 | 21.1 | 19.5 | 20.3 | ||
| Upper Bound (COVID-19 Adjusted MUR) | 57,161 | 51,672 | 108,833 | 36.3 | 34.5 | 35.4 | |||
| Persons aged 25-74 years | Lower Bound (Traditional MUR) | 58,099 | 59,919 | 118,018 | 5.0 | 6.1 | 5.5 | ||
| Upper Bound (COVID-19 Adjusted MUR) | 151,758 | 144,887 | 296,645 | 13.0 | 14.7 | 13.7 | |||
| 1 Not seasonally adjusted | |||||||||
| 2 Revised | |||||||||
The purpose of this release is to provide a detailed series of monthly unemployment estimates. The release contains both monthly unemployment rates and monthly unemployment volumes.
The Labour Force Survey (LFS) provides benchmark estimates of employment and unemployment for each quarter since the beginning of 1998. These quarterly benchmark estimates are then used to compile monthly data using the Proportional Denton method. The main characteristic of this method is that the monthly Live Register series is used as an indicator to disaggregate the quarterly LFS unemployment series into a monthly series in such a way as to minimise the differences between two consecutive months. It also ensures that the average of three months in a particular calendar quarter is equal to the corresponding LFS estimate.
For months where the quarterly unemployment data is not yet available, the ratio of the LFS monthly estimate to the Live Register monthly estimate (i.e. the benchmark to indicator ratio) is forecast forward in order to extrapolate a monthly LFS estimate. This approach adheres to agreed international practice.
To correct for typical seasonal patterns, the data series included have been concurrently seasonally adjusted. This seasonal adjustment is completed by applying the X-12-ARIMA model, developed by the U.S. Census Bureau. In the case of these monthly unemployment estimates, seasonal adjustment is conducted using the indirect approach, where each individual series is independently adjusted. To preserve consistency between the individual and aggregate series, the series for gender, age group and total monthly unemployed are then created from these component series. The series for monthly unemployment rates are likewise created from these component series.
Seasonally adjusting the Monthly Unemployment series during the Covid-19 crisis period will be challenging until the scale and shape of its impact on the time series is better understood. This initial seasonally adjusted result might be revised for some months ahead as future observations become available. Users should be aware that there is increased uncertainty around the seasonally adjusted figures during this period.
Further information regarding the LFS and Live Register series are available from each respective release.
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Show Table 1a Seasonally adjusted monthly unemployment by sex - all persons aged 15-74 years
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