EU LFS ad_hoc_module results - reliability limits from 1998 onwards
 
03.07.2020
 
THOSE LIMITS ARE TO BE USED FOR ADHOC MODULE DATA
 
The EU Labour Force Survey, like all sample surveys, is based upon a sample of the target population. LFS results are therefore subject to the usual types of errors associated with sampling techniques. Based upon the sample design and size in the individual Member States, Eurostat implements basic guidelines intended to avoid publication of figures which are statistically unreliable. These guidelines are summarised below.

  YEAR
1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019
LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B LIMIT_A LIMIT_B
COUNTRY . . 9000 20000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 . . 50000 100000 50000 100000 50000 100000 50000 100000
EU
EURO_AREA . . 7500 20000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 . . 50000 100000 50000 100000 50000 100000 50000 100000
BE . . . . 5000 10000 5000 10000 5000 10000 5000 10000 5000 10000 5000 10000 5000 10000 5000 10000 5000 10000 5000 10000 5000 10000 5000 10000 5000 10000 5000 10000 5000 10000 . . 5000 10000 3000 8000 3000 8000 3000 8000
BG . . . . . . . . . . 5500 12000 5500 12000 6000 13000 6000 13000 6000 13000 5300 12000 5300 12000 6200 14000 6200 14000 7000 16000 5600 12600 5300 12000 . . 5100 11500 5500 12300 4500 10100 5200 11700
CZ . . . . . . 750 4500 750 4500 750 4500 750 4500 750 4500 1000 6000 1000 6000 1000 6000 1000 6000 1000 6000 900 6000 800 5000 800 5000 1000 6500 . . 1000 6000 1000 6000 1000 6000 1000 6000
DK . . 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 . . . . 4000 7000 4000 7000 4000 7000 4000 7000
DE . . 5000 8000 . . 5000 8000 5000 8000 5000 8000 5000 8000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 . . . . 50000 50000 50000 50000 50000 50000 50000 50000
EE . . . . . . 5000 10000 5000 10000 5000 10000 1250 2500 1700 3800 1700 3800 1300 3000 1275 2950 2700 6250 2650 6100 2500 5750 2200 5050 2200 5200 2200 5200 . . 2200 5000 2200 5000 2000 4800 2000 4800
IE . . 1000 1700 1000 1700 1000 1700 1000 1700 1000 1700 1000 1700 1000 1700 1000 1700 1000 1700 1000 2000 1000 2000 1000 2500 1000 2500 1000 2500 2500 4100 . . . . 1821 3034 1821 3034 1821 3034 4000 6600
EL . . 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 1300 3500 . . 1300 3500 1300 3500 1300 3500 1300 3500
ES . . 2000 8000 2000 8000 2000 8000 2000 8000 2000 8000 2000 8000 2000 8000 2000 8000 2000 8000 2000 8000 2000 8000 2000 8000 2000 8000 2000 8000 2000 8000 2000 8000 . . 2000 8000 2000 8000 2000 8000 2000 8000
FR . . . . 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 50000 100000 . . 50000 100000 50000 100000 50000 100000 50000 100000
HR . . . . . . . . . . . . . . . . . . 4000 36000 . . . . 4200 38000 4200 38000 4200 38000 4200 38000 4200 38000 . . 4200 38000 4200 38000 4200 38000 4200 38000
IT . . 3500 7500 3500 7500 3500 7500 3500 7500 3500 7500 3500 7500 3500 7500 3500 7500 3500 7500 3500 7500 3500 7500 3500 7500 3500 7500 3500 8500 3500 8500 3500 8500 . . 3500 8500 3500 8500 3500 8500 3500 8500
CY . . . . . . . . 500 1500 500 1500 500 1500 500 1500 500 1500 500 1500 500 1500 500 1500 500 1500 500 1500 500 1500 500 1500 500 1500 . . 500 1500 500 1500 500 1500 500 1500
LV . . . . 2600 4600 13700 22400 . . 8600 14100 6000 9900 6400 10500 7400 12200 15100 24100 3800 6300 4500 7400 5400 8900 4500 7300 4500 7300 4500 7300 3800 6200 . . 3600 5900 3200 5000 3100 5000 1400 2100
LT . . . . 5000 12000 5000 12000 5800 23000 5800 23000 5800 23000 5700 23000 5700 22700 5700 22700 5700 22700 5700 22700 4000 11500 4500 8000 4500 8000 4500 8000 4500 8000 . . 4500 8000 4500 8000 1100 4000 1100 4000
LU . . 500 1500 500 1500 500 1500 500 1500 500 1000 500 1000 500 1000 500 1200 500 1200 500 1200 500 1200 500 1200 500 1200 500 1500 500 1500 2000 4000 . . 2000 4000 2000 4000 500 1000 500 1000
HU . . 2600 4800 2600 4800 2600 4800 2600 4800 2600 4800 2600 4800 2600 4800 2600 4800 2600 4800 2600 4800 2600 4800 2600 4800 2600 4800 2600 4800 2600 5000 2600 4800 . . 2600 5000 2600 5000 2600 5000 2600 5000
MT . . . . . . . . 2000 4000 2000 4000 2000 4000 1500 3000 2000 4000 1500 3000 1500 3000 1750 3500 2000 4000 1600 3200 1500 3000 1300 3400 1300 3100 . . 1300 3300 700 1700 766 1975 1000 2500
NL . . 6500 20000 6500 20000 6500 20000 6500 20000 6500 20000 1500 5000 1500 5000 1500 5000 1500 5000 1500 5000 1500 5000 1500 6500 1500 6500 1500 6500 . . . . . . 1500 6500 1500 6500 1500 6500 1500 6500
AT . . . . 4000 8000 4000 8000 4000 8000 4000 8000 4000 8000 4000 8000 5000 10000 8000 18000 5000 10000 5000 14000 5000 13000 6000 15000 5000 10000 6000 15000 5000 10000 . . 5000 10000 5000 10000 5000 10000 5000 10000
PL . . . . . . . . . . 5000 20000 5000 20000 5000 20000 5000 20000 5000 20000 5000 20000 5000 20000 5000 20000 5000 20000 5000 20000 5000 20000 5000 20000 . . 5000 20000 5000 20000 5000 20000 5000 20000
PT . . 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 . . 7500 7500 7500 7500 7500 7500 7500 7500
RO . . . . 2000 14000 2000 14000 2000 14000 2000 14000 6500 11500 6500 11500 6500 11500 6500 11500 6500 11500 6500 11500 6500 11500 6500 11500 6500 11500 6500 11500 6500 11500 . . 6500 11500 6500 11500 6500 11500 6500 11500
SI . . . . 1000 10500 1000 10500 1000 10500 1000 10500 1000 10500 1000 10500 1000 10500 1000 10500 1000 10500 1000 10500 1000 10500 1000 10500 1000 10500 1000 10500 1000 10500 . . 1000 10500 1000 10500 1000 10500 1000 10500
SK . . . . 2500 4500 2500 4500 2500 4500 2500 4500 2500 4500 2500 4500 2500 4500 2500 4500 2500 4500 2500 4500 2500 4500 2500 4500 2500 4500 2500 4500 2500 4500 . . 4500 4500 4500 4500 4000 6000 4000 6000
FI . . 2000 4000 2000 4000 2000 4000 2000 4000 2000 4000 2000 4000 2000 4000 2000 4000 2000 4000 2000 4000 2000 4000 2000 4000 2000 4000 2000 4000 2000 4000 2000 4000 . . 2200 4000 2000 4000 2000 4000 2000 4000
SE . . 9000 9000 9000 9000 5100 8500 5100 8500 4000 7000 5100 8500 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 7000 13000 . . 7000 10000 6000 10000 12000 16000 20000 25000
UK . . 10000 17000 10000 17000 10000 17000 10000 17000 10000 17000 10000 17000 10000 17000 10000 17000 10000 17000 10000 19000 10000 19000 10000 19000 10000 19000 10000 19000 10000 19000 10000 19000 . . 10000 19000 10000 19000 10000 19000 10000 19000
IS . . . . . . . . . . . . 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 . . . . . . 1000 1000 1000 1000 1000 1000 1000 1000
NO . . . . . . 1500 5000 1500 5000 1500 5000 1500 5000 1500 5000 1500 5000 1500 5000 1500 5000 1500 5000 2000 5500 2000 5500 2000 5500 2000 5500 1000 5000 . . 1000 5000 5000 10000 5000 10000 5000 10000
CH . . . . . . 3000 10000 . . 2000 6000 2000 6000 2000 6000 2000 7000 2000 7000 2000 7000 2000 7000 . . 1000 5000 1000 5000 1000 5000 1000 5000 . . 1000 5000 1000 5000 1000 5000 1000 5000
ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
MK . . . . . . . . . . . . . . . . . . . . . . . . 2500 7500 . . . . . . . . . . . . . . . . . .
RS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
TR . . . . . . . . . . . . . . . . . . . . . . 500 2500 . . 500 2500 . . . . . . . . 5000 5000 1500 4500 5000 5000 5000 5000

Values for groups of countries are calculated as the maximum of the values of the countries belonging to the group. EU and EURO_AREA are to be understood in their current composition. Values for other country groups can be derived in the same way.
 
Figures less than those in column A above should not be published; by convention, a dot or full stop is used instead. Figures less than those given in column B but greater than thosein column A should only be published with a warning concerning their reliability. By convention, they appear between brackets.
 
In most cases data released by Eurostat will conform to these rules. In some circumstances data may be provided to researchers without the modifications described above. This is done to enable them deriving their own aggregated tables in the course of their analysis. Once the aggregations have been finalised, the guidelines outlined above have to be observed again. Compliance with this principle is to be considered as acondition of the release of data in this form.
 
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The csv-file reliability_limits.csv contains all quarterly, annual average, yearly and ad_hoc_module limits.