Reference Data in France 4,013 indicators covering reference data for France. IndicatorLatest Year10-yr change Rank Barro-Lee: Percentage of female population age 45-49 with tertiary 13.7% 2010 up 27.9% 12th Barro-Lee: Percentage of population age 45-49 with tertiary 11.6% 2010 up 24.0% 14th Barro-Lee: Percentage of female population age 50-54 with tertiary 13.7% 2010 up 57.0% 12th Barro-Lee: Percentage of population age 50-54 with tertiary 11.6% 2010 up 43.0% 14th Barro-Lee: Percentage of female population age 55-59 with tertiary 10.8% 2010 up 45.5% 14th Barro-Lee: Percentage of population age 55-59 with tertiary 9.7% 2010 up 52.0% 14th Barro-Lee: Percentage of female population age 60-64 with tertiary 10.8% 2010 up 170.2% 13th Barro-Lee: Percentage of population age 60-64 with tertiary 9.7% 2010 up 143.9% 14th Barro-Lee: Percentage of female population age 65-69 with tertiary 6.0% 2010 up 186.7% 18th Barro-Lee: Percentage of population age 65-69 with tertiary 5.7% 2010 up 134.6% 25th Long-term residents by age, sex and citizenship on 31 December of 2.63 million Person 2025 up 33.8% 2nd All valid permits by age, sex and citizenship on 31 December of each 4.42 million Person 2025 up 67.8% 2nd Public sector employment, as a share of paid employment, by 0.4882 2018 down 16.4% 53rd Public sector employment, as a share of total employment, by 0.4228 2018 down 18.1% 53rd Public sector female employment, as a share of paid employment by 0.6268 2018 down 22.9% 39th Median earnings per month in the industrial sector, aged 15-64, local 1,579 2016 up 12.5% 39th Median earnings per hour, aged 15-64, local currency values, rural 10.18 2016 up 29.0% 37th Day-to-day rates for euro area countries - monthly data 3.09 1998 down 62.3% 12th Proportion of students at the end of lower secondary education 79.1% 2018 down 1.5% 22nd Causes of death - deaths by country of residence and occurrence 643,355 Number 2024 up 15.0% 3rd Median earnings per month in the agricultural sector, aged 15-64 1,275 2016 up 10.8% 36th Real median earnings per month, aged 15-64, deflated to 2010 and PPP 17.14 2016 up 12.1% 11th Real median earnings per month, aged 15-64, deflated to 2010 and PPP 21.35 2016 up 10.5% 11th Real median earnings per month, aged 25-64, deflated to 2010 and PPP 19.72 2016 up 10.0% 11th Median earnings per hour, aged 15-64, deflated to 2010 local currency 0.0871 2016 up 2.8% 32nd Real median earnings per month, aged 15-64, deflated to 2010 and PPP 22.26 2016 up 26.4% 9th Median earnings per hour, aged 15-64, deflated to 2010 local currency 0.11 2016 up 12.1% 37th Real median earnings per month, aged 15-24, deflated to 2010 and PPP 9.41 2016 down 4.1% 14th Median earnings per month, aged 15-64, local currency values, rural 1,622 2016 up 29.3% 38th Female to male gender wage gap, aged 15-64, rural 0.815 2016 up 6.5% 35th Public sector employment, as a share of paid employment, by 0.1629 2018 down 41.6% 61st Recent immigrants by citizenship 0.2% 2025 down 33.3% 19th Median earnings per month in the service sector, aged 15-64, local 1,565 2016 up 26.1% 40th Median earnings per month in the industrial sector, aged 15-64, local 1,678 2016 up 23.4% 40th Public sector female employment, as a share of paid employment by 0.5111 2018 down 7.6% 20th Public sector employment, as a share of total employment, by 0.1526 2018 down 29.6% 40th New special purpose road vehicles 18,553 Number 2024 up 58.4% 3rd Real median earnings per hour, aged 15-64, deflated to 2010 and PPP 0.0986 2016 up 2.8% 7th Share of children living with a single parent 26.6% 2023 up 23.7% 2nd Balance of payments by country - annual data 726,585 2025 up 70.0% 3rd Real median earnings per hour, aged 15-64, deflated to 2010 and PPP 0.1246 2016 up 12.1% 10th Median earnings per month, aged 15-64, deflated to 2010 local 12.85 2016 down 3.0% 34th Production of certified organic eggs for consumption 2,167 Million 2025 up 140.8% 1st Public sector employment, as a share of paid employment, by 0.3701 2018 down 5.1% 28th Median earnings per hour, aged 15-64, deflated to 2010 local currency 0.0993 2016 up 14.8% 35th Marriages by previous legal union status of bride and groom 241,196 Number 2023 up 1.0% 3rd Road cabotage transport of reporting country by country in which 693 Thousand tonnes 2025 up 36.7% 10th PISA: 15-year-olds by mathematics proficiency level (%). Below Level 1 8.0% 2018 down 14.9% 28th PISA: Female 15-year-olds by mathematics proficiency level (%). Below 8.0% 2018 down 18.0% 28th PISA: Male 15-year-olds by mathematics proficiency level (%). Below 8.1% 2018 down 11.4% 29th PISA: 15-year-olds by mathematics proficiency level (%). Level 1 13.2% 2018 up 1.1% 35th PISA: Female 15-year-olds by mathematics proficiency level (%). Level 13.3% 2018 down 2.4% 35th PISA: Male 15-year-olds by mathematics proficiency level (%). Level 1 13.1% 2018 up 5.1% 36th PISA: 15-year-olds by mathematics proficiency level (%). Level 2 21.1% 2018 up 6.3% 34th PISA: Female 15-year-olds by mathematics proficiency level (%). Level 21.8% 2018 up 0.4% 35th PISA: Male 15-year-olds by mathematics proficiency level (%). Level 2 20.4% 2018 up 14.1% 36th PISA: 15-year-olds by mathematics proficiency level (%). Level 3 25.6% 2018 up 7.3% 16th PISA: Female 15-year-olds by mathematics proficiency level (%). Level 26.8% 2018 up 5.8% 16th PISA: Male 15-year-olds by mathematics proficiency level (%). Level 3 24.4% 2018 up 9.7% 20th PISA: 15-year-olds by mathematics proficiency level (%). Level 4 21.0% 2018 up 4.6% 14th ← Previous Page 60 of 67 Next →