| Seasonally adjusted number of persons unemployed | Seasonally adjusted unemployment rate (%) | ||
| October 2018 | 136,700 | 5.7 | |
| September 2019 | 118,100 | 4.9 | |
| October 2019 | 117,300 | 4.8 | |
| Percentage Points | |||
| Change in month | - 800 | - 0.1 | |
| Change in year | - 19,400 | - 0.9 |
The seasonally adjusted unemployment rate for October 2019 was 4.8%, down from 4.9% in September 2019 and down from 5.7% in October 2018. The seasonally adjusted number of persons unemployed was 117,300 in October 2019, compared to 118,100 in September 2019. When compared to October 2018, there was an annual decrease of 19,400 in the seasonally adjusted number of persons unemployed.
Summary points for October
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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. In an effort to reduce the frequency and scale of revisions to the monthly unemployment series, for this Monthly Unemployment release (reference month October 2019) and on a quarterly basis from now on (January, April, July and October), the CSO are using the latest available quarterly LFS benchmarks, ahead of the LFS publication date. This eliminates the need to revise the Monthly Unemployment series when publishing the Q3 2019 LFS on November 19th. Thus, going forward there will only be 12 versions of the Monthly Unemployment series released by the CSO each year instead of 16 as is currently the case (12 Monthly Unemployment releases and four revisions published as part of the LFS release each quarter). For more information please see Information Note Monthly Unemployment October 2019 |
| 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 | ||||
| 2017 | October | 88,100 | 65,500 | 153,600 | 6.9 | 6.0 | 6.5 | ||
| November | 86,200 | 63,800 | 150,000 | 6.7 | 5.9 | 6.3 | |||
| December | 83,700 | 63,100 | 146,800 | 6.5 | 5.8 | 6.2 | |||
| 2018 | January | 79,000 | 63,200 | 142,200 | 6.2 | 5.9 | 6.0 | ||
| February | 76,700 | 63,000 | 139,700 | 6.0 | 5.8 | 5.9 | |||
| March | 76,600 | 63,100 | 139,700 | 6.0 | 5.8 | 5.9 | |||
| April | 77,400 | 61,900 | 139,300 | 6.0 | 5.7 | 5.9 | |||
| May | 77,600 | 62,100 | 139,700 | 6.0 | 5.7 | 5.9 | |||
| June | 76,400 | 61,500 | 137,900 | 5.9 | 5.6 | 5.8 | |||
| July | 74,500 | 61,500 | 136,000 | 5.8 | 5.6 | 5.7 | |||
| August | 72,600 | 61,800 | 134,300 | 5.6 | 5.6 | 5.6 | |||
| September | 72,300 | 62,900 | 135,200 | 5.6 | 5.7 | 5.7 | |||
| October | 71,900 | 64,800 | 136,700 | 5.6 | 5.9 | 5.7 | |||
| November | 71,400 | 63,300 | 134,700 | 5.5 | 5.7 | 5.6 | |||
| December | 71,700 | 60,100 | 131,800 | 5.5 | 5.4 | 5.5 | |||
| 2019 | January | 70,700 | 54,200 | 124,900 | 5.4 | 4.8 | 5.2 | ||
| February | 69,900 | 51,000 | 120,900 | 5.4 | 4.5 | 5.0 | |||
| March | 70,000 | 51,100 | 121,100 | 5.3 | 4.6 | 5.0 | |||
| April | 70,000 | 55,500 | 125,600 | 5.4 | 5.0 | 5.2 | |||
| May | 69,100 | 55,600 | 124,700 | 5.3 | 5.0 | 5.2 | |||
| June | 69,500 | 55,200 | 124,700 | 5.3 | 5.0 | 5.2 | |||
| July | 69,300 | 53,300 | 122,700 | 5.3 | 4.8 | 5.1 | |||
| August | 68,600 | 50,700 | 119,400 | 5.2 | 4.6 | 4.9 | |||
| September | 69,200 | 48,900 | 118,100 | 5.3 | 4.4 | 4.9 | |||
| October | 68,600 | 48,700 | 117,300 | 5.2 | 4.4 | 4.8 | |||
| 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 | ||||
| 2017 | October | 21,900 | 15,400 | 37,300 | 15.4 | 12.1 | 13.8 | ||
| November | 21,700 | 14,600 | 36,300 | 14.9 | 11.2 | 13.2 | |||
| December | 21,700 | 15,600 | 37,300 | 14.7 | 11.7 | 13.3 | |||
| 2018 | January | 21,800 | 16,800 | 38,600 | 14.9 | 12.8 | 13.9 | ||
| February | 21,400 | 17,200 | 38,600 | 14.7 | 13.2 | 14.0 | |||
| March | 21,600 | 17,600 | 39,200 | 14.8 | 13.6 | 14.2 | |||
| April | 21,500 | 16,800 | 38,300 | 14.6 | 13.0 | 13.8 | |||
| May | 21,800 | 17,100 | 38,900 | 14.7 | 13.0 | 13.9 | |||
| June | 21,800 | 16,900 | 38,700 | 14.6 | 12.6 | 13.6 | |||
| July | 22,200 | 17,500 | 39,700 | 14.8 | 12.6 | 13.8 | |||
| August | 22,700 | 17,500 | 40,200 | 15.1 | 12.6 | 13.9 | |||
| September | 22,800 | 17,200 | 39,900 | 15.1 | 12.5 | 13.9 | |||
| October | 22,600 | 16,400 | 39,000 | 15.0 | 12.2 | 13.7 | |||
| November | 22,300 | 15,200 | 37,500 | 14.7 | 11.4 | 13.2 | |||
| December | 22,200 | 15,000 | 37,100 | 14.5 | 11.0 | 12.9 | |||
| 2019 | January | 22,000 | 14,200 | 36,200 | 14.3 | 10.3 | 12.4 | ||
| February | 21,900 | 13,600 | 35,400 | 14.3 | 9.7 | 12.1 | |||
| March | 23,200 | 14,500 | 37,800 | 15.2 | 10.4 | 12.9 | |||
| April | 24,400 | 15,700 | 40,100 | 16.2 | 11.3 | 13.8 | |||
| May | 24,800 | 15,900 | 40,700 | 16.6 | 11.5 | 14.2 | |||
| June | 24,000 | 15,600 | 39,700 | 16.0 | 11.4 | 13.8 | |||
| July | 22,300 | 14,900 | 37,200 | 14.6 | 11.1 | 12.9 | |||
| August | 21,300 | 14,500 | 35,700 | 13.8 | 10.8 | 12.4 | |||
| September | 20,800 | 14,500 | 35,400 | 13.4 | 10.8 | 12.2 | |||
| October | 20,700 | 14,800 | 35,600 | 13.3 | 11.1 | 12.3 | |||
| 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 | ||||
| 2017 | October | 66,200 | 50,100 | 116,300 | 5.8 | 5.2 | 5.6 | ||
| November | 64,500 | 49,200 | 113,700 | 5.7 | 5.2 | 5.4 | |||
| December | 62,000 | 47,500 | 109,500 | 5.5 | 5.0 | 5.2 | |||
| 2018 | January | 57,200 | 46,400 | 103,600 | 5.0 | 4.9 | 5.0 | ||
| February | 55,300 | 45,800 | 101,100 | 4.9 | 4.8 | 4.9 | |||
| March | 54,900 | 45,500 | 100,500 | 4.8 | 4.8 | 4.8 | |||
| April | 56,000 | 45,000 | 101,000 | 4.9 | 4.7 | 4.8 | |||
| May | 55,800 | 45,100 | 100,800 | 4.9 | 4.7 | 4.8 | |||
| June | 54,500 | 44,700 | 99,200 | 4.8 | 4.6 | 4.7 | |||
| July | 52,200 | 44,100 | 96,300 | 4.6 | 4.6 | 4.6 | |||
| August | 49,900 | 44,300 | 94,100 | 4.4 | 4.6 | 4.5 | |||
| September | 49,600 | 45,700 | 95,300 | 4.4 | 4.7 | 4.5 | |||
| October | 49,300 | 48,400 | 97,700 | 4.3 | 5.0 | 4.6 | |||
| November | 49,100 | 48,100 | 97,200 | 4.3 | 4.9 | 4.6 | |||
| December | 49,600 | 45,100 | 94,700 | 4.3 | 4.6 | 4.5 | |||
| 2019 | January | 48,700 | 40,000 | 88,700 | 4.2 | 4.1 | 4.2 | ||
| February | 48,000 | 37,400 | 85,400 | 4.2 | 3.8 | 4.0 | |||
| March | 46,800 | 36,600 | 83,400 | 4.0 | 3.7 | 3.9 | |||
| April | 45,600 | 39,800 | 85,400 | 3.9 | 4.1 | 4.0 | |||
| May | 44,400 | 39,700 | 84,000 | 3.8 | 4.1 | 4.0 | |||
| June | 45,500 | 39,500 | 85,000 | 3.9 | 4.1 | 4.0 | |||
| July | 47,100 | 38,400 | 85,500 | 4.1 | 3.9 | 4.0 | |||
| August | 47,400 | 36,200 | 83,600 | 4.1 | 3.7 | 3.9 | |||
| September | 48,300 | 34,400 | 82,700 | 4.2 | 3.5 | 3.9 | |||
| October | 47,800 | 33,900 | 81,700 | 4.1 | 3.5 | 3.8 | |||
Purpose
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.
Calculation of Monthly Estimates
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.
Seasonal Adjustment
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.
Additional Background Information
Further information regarding the LFS and Live Register series are available from each respective release, while specific information regarding the new LFS and the impact of the revisions arising from the Census of Population 2016 is available in an additional information note.
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Show Table 1a Seasonally adjusted monthly unemployment by sex - all persons aged 15-74 years
Hide Table 1a Seasonally adjusted monthly unemployment by sex - all persons aged 15-74 years