Reference Data in Slovakia 4,037 indicators covering reference data for Slovakia. IndicatorLatest Year10-yr change Rank Female to male gender wage gap, aged 25-64 0.7884 2016 down 0.6% 43rd Median earnings per month, aged 15-64, local currency values, above 700 2016 up 116.2% 58th Transition from part-time work to full-time work (annual averages of) 3.0% 2025 down 50.0% 38th Female to male gender wage gap, aged 15-64, above primary education 0.8101 2016 up 0.3% 43rd Median earnings per month, aged 15-24, local currency values 558.33 2016 up 139.5% 52nd Late foetal deaths by mother's age 174 Number 2024 up 4.8% 27th Emergency oil stocks in days equivalent - monthly data 2 Number 2026 unchanged 1st Median earnings per month in the service sector, aged 15-64, local 790 2016 up 107.9% 55th Median earnings per month in the service sector, aged 25-64, local 700 2016 up 111.1% 57th Female to male gender wage gap, aged 15-24 0.8333 2016 down 11.5% 46th Median earnings per month in the industrial sector, aged 15-64, local 758.33 2016 up 109.1% 55th Median earnings per month in the industrial sector, aged 25-64, local 700 2016 up 112.6% 57th Median earnings per month in the service sector, aged 15-64, local 647.5 2016 up 108.3% 56th Passenger air transport over national territory (including) 8,668 Millions of passenger-kilometres 2024 up 58.5% 24th Freight and mail air transport over national territory (including) 320 Million tonne-kilometre (TKM) 2024 up 44.8% 18th Transition from fixed term contracts to permanent contracts (annual) 9.0% 2025 up 28.6% 29th Median earnings per month in the industrial sector, aged 15-64, local 558.33 2016 up 115.5% 57th Median earnings per month in the industrial sector, aged 15-64, local 700 2016 up 116.2% 60th Median earnings per month in the service sector, aged 15-64, local 701.67 2016 up 116.7% 58th Median earnings per month in the service sector, aged 15-24, local 558.33 2016 up 139.5% 51st Median earnings per month in the industrial sector, aged 15-24, local 558.33 2016 up 148.7% 53rd Real median earnings per month, aged 15-64, deflated to 2010 and PPP 11.91 2016 up 78.3% 18th Mean age of private paid employees 40.76 2017 up 4.2% 24th Females, as a share of private paid employees 0.4096 2017 down 4.5% 26th Nonrenewable natural capital per capita, metals and minerals: iron ore 187.52 current US$ 2008 up 587.8% 25th Nonrenewable natural capital, metals and minerals: iron ore 1.01 billion current US$ 2008 up 586.4% 31st Median age of private paid employees 40 2017 up 5.3% 20th Females, as a share of public paid employees 0.7113 2017 down 1.2% 8th Median age of public paid employees 44 2017 down 2.2% 22nd Net occupancy rate of bed-places and bedrooms in hotels and similar 39.3% 2024 up 20.6% 41st Positions held by women in senior management 32.7% 2025 up 157.5% 21st Median earnings per month in the agricultural sector, aged 15-64 600 2016 up 131.8% 47th Median earnings per month in the agricultural sector, aged 15-64 703.58 2016 up 108.9% 50th Median earnings per month in the agricultural sector, aged 25-64 661.83 2016 up 104.4% 51st Mean age of public paid employees 44.69 2017 up 3.0% 17th Private investment and gross added value related to circular economy 555 Million euro 2023 up 41.9% 22nd Median earnings per month in the agricultural sector, aged 15-64 658.33 2016 up 103.3% 51st Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty 0.1% 2010 up 142.0% 23rd Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty 0.1% 2010 down 13.8% 36th Median earnings per month in the agricultural sector, aged 15-24 380 2016 up 32.8% 51st Unitisation in rail freight transport- tonne-kilometre for 9.6% 2024 up 585.7% 29th Median earnings per hour, aged 15-64, local currency values, primary 6.33 2016 up 402.8% 46th Intentional homicide and sexual offences by legal status and sex of 51 Number 2024 unchanged 27th UIS: Percentage of population age 25+ whose highest level of 1.9% 2017 — 23rd UIS: Percentage of population age 25+ whose highest level of 2.3% 2017 — 23rd UIS: Percentage of population age 25+ whose highest level of 1.5% 2017 — 24th PISA: Female 15-year-olds by reading proficiency level (%). Level 1A 8.0% 2018 up 60.0% 18th PISA: Male 15-year-olds by reading proficiency level (%). Level 1A 11.0% 2018 unchanged 18th PISA: Female 15-year-olds by reading proficiency level (%). Level 2 13.0% 2018 unchanged 18th PISA: Male 15-year-olds by reading proficiency level (%). Level 2 13.0% 2018 down 13.3% 15th PISA: Female 15-year-olds by reading proficiency level (%). Level 3 13.0% 2018 down 23.5% 30th PISA: Male 15-year-olds by reading proficiency level (%). Level 3 10.0% 2018 down 16.7% 39th PISA: Female 15-year-olds by reading proficiency level (%). Level 4 8.0% 2018 down 27.3% 37th PISA: Male 15-year-olds by reading proficiency level (%). Level 4 5.0% 2018 down 16.7% 38th PISA: Female 15-year-olds by reading proficiency level (%). Level 5 3.0% 2018 unchanged 30th PISA: Male 15-year-olds by reading proficiency level (%). Level 5 2.0% 2018 up 100.0% 28th PISA: Female 15-year-olds by reading proficiency level (%). Level 6 0.0% 2018 — 29th PISA: Male 15-year-olds by reading proficiency level (%). Level 6 0.0% 2018 — 22nd PISA: Distribution of Mathematics Scores: 5th Percentile Score 314.8% 2018 down 8.0% 36th PISA: Distribution of Mathematics Scores: 10th Percentile Score 353.3% 2018 down 6.1% 36th ← Previous Page 56 of 68 Next →