Reference Data in Sri Lanka 3,236 indicators covering reference data for Sri Lanka. IndicatorLatest Year10-yr change Rank Median earnings per hour, aged 15-64, deflated to 2010 local currency 0.7639 2015 up 47.1% 12th Literacy rate, population 25-64 years, female, adjusted location 0.985 LPIA 2018 up 1.0% 6th Literacy rate, population 25-64 years, male, adjusted location parity 0.9814 LPIA 2018 up 1.2% 8th Literacy rate, population 25-64 years, rural, female 92.1% 2018 up 3.1% 11th Literacy rate, population 25-64 years, rural, adjusted gender parity 0.9978 GPIA 2018 up 2.2% 13th Literacy rate, population 25-64 years, rural, male 92.3% 2018 up 0.9% 15th Median earnings per month in the agricultural sector, aged 15-64 12,000 2015 up 300.0% 14th Elderly literacy rate, population 65+ years, female, adjusted 0.8646 LPIA 2018 up 6.2% 9th Elderly literacy rate, population 65+ years, male, adjusted location 0.9054 LPIA 2018 down 1.8% 10th Elderly literacy rate, population 65+ years, rural, female 72.4% 2018 up 11.5% 7th Elderly literacy rate, population 65+ years, rural, adjusted gender 0.8666 GPIA 2018 up 10.0% 10th Elderly literacy rate, population 65+ years, rural, male 83.5% 2018 up 1.4% 9th Median earnings per month, aged 15-64, deflated to 2010 local 194.97 2015 up 44.4% 11th Enrollment rate, aged 6-16, rural 1.0% 2019 up 2.9% 6th Real median earnings per month, aged 15-64, deflated to 2010 and PPP 2.46 2015 up 56.5% 49th Real median earnings per hour, aged 15-64, deflated to 2010 and PPP 0.0178 2015 up 47.1% 43rd Teaching staff compensation as a percentage of total expenditure in 5.9% 2017 down 80.6% 27th Median earnings per month, aged 15-64, deflated to 2010 local 146.22 2015 up 43.0% 10th Real median earnings per month, aged 15-64, deflated to 2010 and PPP 4.54 2015 up 44.4% 42nd Median earnings per month in the agricultural sector, aged 15-64 11,160 2015 up 281.5% 14th Employment in the public sector, aged 15-64, total 0.1% 2016 down 43.0% 24th Individuals with primary education as a share of private paid 0.1826 2016 down 11.8% 23rd Individuals with secondary education as a share of private paid 0.7532 2016 up 3.5% 4th Individuals with secondary education as a share of public paid 0.7097 2016 down 9.6% 2nd 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 Beach litter 266,145 number 2022 down 91.9% 22nd Real median earnings per month, aged 15-64, deflated to 2010 and PPP 3.4 2015 up 43.0% 41st Individuals with tertiary education as a share of public paid 0.2612 2016 up 47.1% 62nd Individuals with primary education as a share of public paid employees 0.0267 2016 down 21.8% 51st Expenditure on school books and teaching material as % of total 3.7% 2018 — 6th Public sector employment, as a share of formal employment 0.3738 2015 up 14.8% 13th Expenditure on school books and teaching material as % of total 2.9% 2018 — 13th Public sector employment, as a share of total employment, by 0.0614 2016 down 21.0% 44th Public sector employment, as a share of paid employment, by 0.0746 2016 down 16.8% 47th Public sector female employment, as a share of paid employment by 0.0608 2016 up 34.4% 53rd Informal employment by sector and gender (% of total) 60.5% 2016 up 6.3% 9th Informal employment by sector and gender (% of total) 68.7% 2016 up 3.4% 4th Informal employment by sector and gender (% of total) - No breakdown 71.1% 2016 up 6.7% 8th Informal employment by sector and gender (% of total) - No breakdown 75.6% 2016 up 3.3% 5th Non-teaching staff compensation as a percentage of total expenditure 16.4% 2017 up 25.3% 11th Informal employment by sector and gender (% of total) - Agriculture 95.3% 2016 up 13.2% 14th Informal employment by sector and gender (% of total) - Agriculture 96.1% 2016 up 5.5% 8th Reported bloodstream infection rate by pathogen 48.5 infections per million 2023 up 45.6% 36th Pay compression ratio in public sector 2.5% 2016 up 2.1% 60th Pay compression ratio in private sector 5.1% 2016 down 3.7% 34th Public sector wage premium, by gender: Female 0.9141 compared to all private employees 2016 down 15.9% 5th P-Value: Public sector wage premium, by gender 0 compared to all private employees 2016 — 44th Female to male wage ratio in the private sector 0.6591 using mean 2016 down 5.2% 52nd Female to male wage ratio in the public sector 0.9931 using mean 2016 down 0.9% 10th Females, as a share of public paid employees by wage quintile 0.4242 2016 up 26.4% 53rd Public sector wage premium 0.5367 compared to all private employees 2016 down 32.5% 7th P-Value: Public sector wage premium 0 compared to all private employees 2016 — 37th Public sector wage premium, by gender: Male 0.3272 compared to all private employees 2016 down 48.0% 15th Females, as a share of private paid employees by wage quintile 0.5751 2016 up 3.1% 23rd Public sector female employment, as a share of paid employment by 0.3412 2016 up 66.0% 33rd Females, as a share of private paid employees by wage quintile 0.3797 2016 down 7.3% 42nd Females, as a share of private paid employees by wage quintile 0.1321 2016 down 31.2% 56th Female to male wage ratio in the public sector 1.01 using median 2016 down 2.0% 11th Female to male wage ratio in the private sector 0.6286 using median 2016 down 2.7% 53rd ← Previous Page 47 of 54 Next →