Reference Data in Chile 4,075 indicators covering reference data for Chile. IndicatorLatest Year10-yr change Rank Completion rate, primary education, richest quintile, both sexes 98.0% 2017 down 1.0% 13th Completion rate, primary education, adjusted wealth parity index 0.9614 WPIA 2017 up 1.3% 6th Completion rate, lower secondary education, poorest quintile, both 93.2% 2017 up 5.2% 1st Completion rate, lower secondary education, second quintile, both 96.3% 2017 up 4.1% 1st Completion rate, lower secondary education, middle quintile, both 97.2% 2017 up 0.5% 2nd Completion rate, lower secondary education, fourth quintile, both 96.9% 2017 down 0.5% 2nd Completion rate, lower secondary education, richest quintile, both 98.9% 2017 unchanged 1st Annual statutory teacher salaries in public institutions in USD. 28,716 2019 up 43.7% 26th Completion rate, upper secondary education, poorest quintile, both 77.4% 2017 up 29.9% 1st Completion rate, upper secondary education, second quintile, both 83.8% 2017 up 24.8% 1st Completion rate, upper secondary education, middle quintile, both 86.6% 2017 up 7.8% 2nd Completion rate, upper secondary education, fourth quintile, both 90.3% 2017 up 1.3% 3rd Completion rate, upper secondary education, richest quintile, both 94.3% 2017 down 1.1% 3rd Completion rate, upper secondary education, adjusted wealth parity 0.8204 WPIA 2017 up 31.4% 1st Median earnings per month, aged 15-64, deflated to 2010 local 2,304 2017 up 41.6% 6th Real median earnings per month, aged 15-64, deflated to 2010 and PPP 8.45 2017 up 44.1% 22nd Median earnings per month in the agricultural sector, aged 15-64 270,000 2017 up 108.8% 6th Annual statutory teacher salaries in public institutions in USD. 28,716 2019 up 43.7% 27th Employment in the public sector, aged 15-64, total 0.1% 2017 up 21.4% 30th Annual statutory teacher salaries in public institutions in USD. 29,773 2019 up 42.5% 27th Individuals with primary education as a share of private paid 0.1772 2015 down 23.1% 25th Individuals with secondary education as a share of private paid 0.4936 2015 down 4.0% 27th Individuals with secondary education as a share of public paid 0.3238 2015 down 19.6% 34th Nonrenewable natural capital per capita, metals and minerals 0 current US$ 2020 down 100.0% 16th Nonrenewable natural capital, metals and minerals: phosphate 0 current US$ 2020 down 100.0% 16th Credit flows by fintech and bigtech companies to GDP 0.0% 2019 — 38th Beach litter 159,732 number 2022 down 79.8% 44th Real median earnings per month, aged 15-64, deflated to 2010 and PPP 6.22 2017 up 41.6% 28th Individuals with tertiary education as a share of public paid 0.6176 2015 up 18.8% 27th Transport safety indicators — Fatalities 3.13 Per 10 000 road motor vehicles 2023 down 38.3% 1st Individuals with primary education as a share of public paid employees 0.0556 2015 down 22.5% 37th Proportion of students at the end of lower secondary education 73.2% 2018 down 2.7% 34th Proportion of students at the end of lower secondary achieving at 1.13 GPIA 2018 down 1.6% 24th Proportion of students at the end of lower secondary education 63.5% 2018 down 0.6% 31st Proportion of students at the end of lower secondary education 68.8% 2018 down 2.1% 34th Proportion of students at the end of lower secondary education 69.9% 2018 down 0.9% 33rd Proportion of students at the end of lower secondary education 0.9031 LTPIA 2018 up 52.1% 7th Proportion of students at the end of lower secondary education 62.1% 2018 up 49.0% 16th Public sector employment, as a share of formal employment 0.1709 2017 up 45.5% 56th Proportion of students at the end of lower secondary education 85.2% 2018 down 4.9% 31st Proportion of students at the end of lower secondary education 53.9% 2018 up 9.9% 29th Proportion of students at the end of lower secondary education 0.6325 WPIA 2018 up 15.6% 30th Public sector employment, as a share of total employment, by 0.0618 2017 up 59.1% 43rd Public sector employment, as a share of paid employment, by 0.0725 2017 up 56.1% 48th Public sector female employment, as a share of paid employment by 0.073 2017 up 122.8% 49th PISA: Female 15-year-olds by science proficiency level (%). Below 0.9% 2018 down 5.8% 15th PISA: Male 15-year-olds by science proficiency level (%). Below Level 1.0% 2018 up 0.1% 16th PISA: 15-year-olds by science proficiency level (%). Level 1B 8.8% 2018 up 26.1% 13th PISA: Female 15-year-olds by science proficiency level (%). Level 1B 8.3% 2018 up 3.9% 11th PISA: Male 15-year-olds by science proficiency level (%). Level 1B 9.3% 2018 up 33.3% 14th PISA: 15-year-olds by science proficiency level (%). Below Level 1 1.0% 2018 down 2.8% 17th Pay compression ratio in public sector 5.5% 2015 down 15.8% 18th Pay compression ratio in private sector 4.4% 2015 down 21.0% 41st Public sector wage premium, by gender: Female 0.1715 compared to all private employees 2015 down 23.0% 31st P-Value: Public sector wage premium, by gender 0 compared to all private employees 2015 down 100.0% 44th Female to male wage ratio in the private sector 0.7648 using mean 2015 down 1.4% 34th Female to male wage ratio in the public sector 0.7209 using mean 2015 down 16.3% 51st Females, as a share of public paid employees by wage quintile 0.665 2015 up 25.5% 29th Public sector wage premium 0.1805 compared to all private employees 2015 up 14.4% 28th P-Value: Public sector wage premium 0 compared to all private employees 2015 down 100.0% 37th ← Previous Page 58 of 68 Next →