EU LFS yearly results - reliability limits from 1998 onwards
 
26.03.2021
 
THOSE LIMITS ARE TO BE USED FOR YEARLY DATA (INCLUDING STRUCTURAL VARIABLBES)
 
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 2020
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 LIMIT_A LIMIT_B
COUNTRY 11000 26000 11000 26000 11000 26000 13700 26000 11000 26000 35000 70000 35000 70000 7500 22500 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 20000 40000 20000 40000 20000 40000 20000 40000 20000 40000 20000 40000 20000 40000 20000 40000 25000 40000
EU
EURO_AREA 11000 26000 11000 26000 11000 26000 13700 26000 11000 26000 35000 70000 35000 70000 7500 22500 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 20000 40000 20000 40000 20000 40000 20000 40000 20000 40000 20000 40000 20000 40000 20000 40000 25000 40000
BE 2000 5000 5000 10000 5000 10000 5000 10000 5000 10000 5000 10000 5000 10000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 3000 8000 3000 8000 3000 8000 3000 8000
BG . . . . 5500 12000 5500 12000 5500 12000 5500 12000 5500 10000 3500 8000 3500 8000 4000 9000 5300 12000 5300 12000 6200 14000 6200 14000 7000 16000 5600 12600 5300 12000 6200 13900 5100 11500 5500 12300 4500 10100 5200 11700 5200 11700
CZ 750 4500 750 4500 750 4500 750 4500 750 4500 750 4500 750 4500 500 3000 500 3000 500 3000 500 3000 500 3000 500 3000 900 6000 900 6000 1000 6000 1000 6000 1000 6000 1000 6000 1000 6000 1000 6000 1000 6000 1000 6000
DK 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 4000 7000 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
DE 5000 5000 5000 5000 5000 5000 5000 5000 5000 5000 5000 5000 5000 5000 5000 5000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000 5000 5000 5000 5000 5000 5000 5000 5000 5000 5000 5000 5000 5000 5000 5000 5000 25000 40000
EE 1500 3000 1500 3000 5000 10000 5000 10000 5000 10000 5000 10000 5000 10000 1700 3800 1700 3800 1300 3000 1275 2950 1350 3125 1325 3050 1100 2600 1100 2600 1100 2600 1100 2500 1100 2500 1100 2500 1100 2500 1000 2400 1000 2400 1000 2400
IE 2500 4100 2500 4100 2500 4100 2500 4100 2500 4100 2500 4100 2500 4100 2500 4100 2500 4100 1900 3100 1900 3100 1900 3100 1900 3100 1900 3100 1900 3100 1900 3100 1900 3100 1900 3100 1800 3000 1800 3000 1800 3000 4000 6600 4000 6600
EL 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 2000 5000 1300 3500 1300 3500 1300 3500 1300 3500 1300 3500 1300 3500 1300 3500 1300 3500 1300 3500 1300 3500 1300 3500 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 1000 5000 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 11000 26000 11000 26000 11000 26000 11000 26000 11000 26000 35000 70000 35000 70000 7500 15000 25000 50000 25000 50000 25000 50000 22000 44000 20000 40000 20000 40000 20000 40000 20000 40000 20000 40000 20000 40000 20000 40000 20000 40000 20000 40000 20000 40000 20000 40000
HR . . . . . . . . 2500 21000 2500 21000 2500 21000 2600 21000 2600 24000 1000 10000 1000 10000 1000 10000 1000 10000 1000 10000 1000 10000 1000 10000 1000 10000 1000 10000 1000 10000 1000 10000 1000 10000 1000 10000 1000 10000
IT 3500 7500 3500 7500 3500 7500 3500 7500 3500 7500 3500 7500 3500 7500 1500 2500 1500 2500 1500 2500 1500 2500 1500 2500 1500 2500 1500 2500 1500 2500 1500 2500 1500 2500 1500 2500 1500 2500 1500 2500 1500 2500 1500 2500 1500 2500
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 500 1500 500 1500 500 1500 500 1500 500 1500
LV 2600 4600 2600 4600 2600 4600 13700 22400 6500 10700 8600 14100 6000 9900 2200 3500 2000 3300 1000 1600 1100 1800 1700 2700 2200 3600 1900 3100 1600 2600 1700 2700 1400 2300 1200 2000 1200 2000 1000 1500 1700 2400 1500 2100 1500 2100
LT 5000 12000 5000 12000 5000 12000 5000 12000 5800 23000 5800 23000 5800 23000 5700 22500 7400 22500 5300 22500 5900 22500 4500 8000 4500 8000 4500 8000 4500 8000 1500 4500 1500 4500 1500 4500 1100 4000 1100 4000 1100 4000 1100 4000 1100 4000
LU 500 1500 500 1500 500 1500 500 1500 500 1500 500 1000 500 1000 500 1000 500 1000 500 1000 500 1000 500 1000 500 1000 500 1000 500 1000 500 1000 500 1000 500 1000 500 1000 500 1000 500 1000 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 4800 2600 4800 2600 4800 2600 4800 2600 4800 2600 4800 2600 4800 2600 4800 2600 4800
MT . . . . 1500 3000 1500 3000 1500 3000 1500 3000 1500 3000 450 900 450 900 450 900 375 750 375 750 375 750 375 750 350 800 350 850 350 850 350 800 350 850 350 900 350 900 450 1100 450 1100
NL 1500 8000 1500 9000 1500 7000 1500 5000 1500 5000 1500 5000 1500 5000 1500 2500 1500 5000 1500 5000 1500 5000 1500 5000 1500 6500 1500 6500 1500 6500 1500 6500 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 4000 8000 3000 6000 3000 6000 3000 6000 3000 6000 3000 6000 3000 6000 3000 6000 3000 6000 3000 6000 3000 6000 3000 6000 3000 6000 3000 6000 3000 6000 3000 6000 3000 6000
PL 5000 16000 5100 17000 5000 20000 5000 20000 5000 20000 5000 20000 5000 20000 5000 15000 5000 15000 5000 15000 5000 15000 5000 15000 5000 15000 5000 15000 5000 15000 5000 15000 5000 15000 5000 15000 5000 15000 5000 15000 5000 15000 5000 15000 5000 15000
PT 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 7500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500
RO 2000 14000 2000 14000 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 6500 11500 6500 11500
SI 1000 10500 1000 10500 1000 10500 1000 10500 1000 10500 1000 10500 1000 10500 500 4000 500 4000 500 4000 500 4000 500 4000 500 4000 500 4000 500 4000 500 4000 500 4000 500 4000 500 4000 500 4000 500 4000 500 4000 500 4000
SK 2500 4500 2500 4500 2500 4500 2500 4500 2500 4500 2500 4500 2500 4500 2000 3000 2000 3000 2000 3000 2000 3000 2000 3000 2000 3000 2000 3000 2000 3000 2000 3000 2000 3000 2000 3000 2000 3000 2000 3000 2500 4000 2500 4000 2500 4000
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 2000 4000 2000 4000 2000 4000 2000 4000 2000 4000 2000 4000 2000 4000
SE 9000 9000 9000 9000 9000 9000 3000 4500 3000 4500 3000 4500 3000 4500 2500 3500 2500 3500 2500 3500 2500 3500 2500 3500 1000 2000 1000 2000 1000 2000 1000 2000 1000 2000 1000 2000 1000 2000 1000 2000 1500 3000 3200 6400 3200 6400
UK 10000 17000 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 10000 19000 10000 19000
IS 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500 500
NO 1500 5000 1500 5000 1500 5000 1500 5000 1500 5000 1500 5000 1500 5000 1000 2000 1500 5000 1500 5000 1500 5000 1500 5000 2000 5500 2000 5500 2000 5500 2000 5500 2000 5500 2000 5500 2000 5500 5000 10000 5000 10000 5000 10000 5000 10000
CH 3000 10000 3000 10000 3000 10000 3000 10000 2000 6000 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 1000 5000 1000 5000 1000 5000
ME . . . . . . . . . . . . . . . . . . . . . . . . 1200 1900 1200 1900 1200 1900 1200 1900 1200 1900 1200 1900 1200 1900 1200 1900 1200 1900 1200 1900 1200 1900
MK . . . . . . . . . . . . . . . . 500 1000 500 1000 500 1000 500 1000 500 1100 500 1100 500 1100 500 1100 500 1100 500 1100 500 1100 500 1100 500 1100 500 1100 500 1100
RS . . . . . . . . . . . . . . . . . . . . . . . . 3500 8000 3000 7500 2300 7500 2000 7000 1000 3800 1000 3800 1000 3800 1000 3800 1000 3800 1000 3800 1000 3800
TR . . . . . . . . . . . . . . . . 500 2500 500 2500 500 2500 500 2500 500 2500 500 2500 500 2500 500 2500 500 2500 500 2500 500 2500 500 2500 500 2500 500 2500 500 2500

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.