Reference Data in South Africa

3,934 indicators covering reference data for South Africa.

IndicatorLatest Year10-yr change Rank
Renewable natural capital per capita, nonwood forest protection 49.82 current US$ 2020 down 18.8% 99th
Renewable natural capital, nonwood forest protection ecosystem 2.93 billion current US$ 2020 down 7.8% 44th
Renewable natural capital per capita, forest water ecosystem services 613.72 current US$ 2020 up 0.7% 43rd
Renewable natural capital, forest water ecosystem services 36.09 billion current US$ 2020 up 14.4% 18th
Food GHG emissions by system stage (Share of total) - Processing 3.87 2015 up 21.6% 70th
Inbound mobility rate, female 2.7% 2018 down 14.3% 68th
Inbound mobility rate, male 4.9% 2018 down 13.6% 57th
Financial soundness indicators 2.1% 2024 up 43.8% 69th
Annual non-financial accounts by institutional sector (Revenue) 1.55 million National currency 2025 up 107.7% 10th
International one-day trips 2.50 million arrivals 2024 down 49.7% 25th
GDP,constant 2010 LCU,millions,seas. adj. 1.19 million 2026 down 73.2% 36th
Total electricity output 246,736 GWh 2015 up 1.9% 20th
ATMs per 100,000 adults 67.93 2017 up 18.2% 44th
Exports Merchandise, Customs, constant US$, millions, seas. adj. 103,927 2025 up 6.4% 30th
Renewable energy consumption 17.2% 2015 up 5.6% 116th
Enrolment in tertiary education, ISCED 5 programmes, both sexes 361,511 number 2018 up 7.4% 18th
Enrolment in tertiary education, ISCED 5 programmes, female 210,011 number 2018 up 11.2% 14th
Passenger-kilometers by rail 3.50 billion million passenger-km 2020 down 74.7% 38th
Enrolment in tertiary education, ISCED 5 programmes, male 151,500 number 2018 up 2.6% 21st
CO2 emissions per dollar of manufacturing value added 1.06 kgCO2 per constant 2010 US$ 2017 up 12.8% 22nd
Nonrenewable natural capital per capita, metals and minerals: lithium 0 real chained 2019 US$ 2020 — 7th
Nonrenewable natural capital, metals and minerals: lithium 0 real chained 2019 US$ 2020 — 7th
Nonrenewable natural capital per capita, metals and minerals 0 real chained 2019 US$ 2020 — 11th
Nonrenewable natural capital, metals and minerals: molybdenum 0 real chained 2019 US$ 2020 — 11th
05_Official bilateral loans, other 875.00 million 2023 up 121.0% 7th
Illiterate population, 25-64 years, male 1.65 million number 2017 up 62.5% 11th
Illiterate population, 25-64 years, female 1.74 million number 2017 up 30.3% 22nd
Illiterate population, 25-64 years, both sexes 3.39 million number 2017 up 44.2% 20th
Countries that are party to the Nagoya Protocol 1 number 2025 — 1st
Adult literacy rate, population 15+ years, adjusted gender parity 0.9861 GPIA 2017 up 2.8% 30th
Literacy rate, population 25-64 years, both sexes 87.7% 2017 down 1.4% 51st
Literacy rate, population 25-64 years, male 87.9% 2017 down 2.7% 55th
Government expenditure on secondary education, PPP$ 14,467 millions 2019 up 53.8% 20th
Literacy rate, population 25-64 years, female 87.5% 2017 down 0.3% 52nd
Nonrenewable natural capital per capita, metals and minerals: cobalt 0 real chained 2019 US$ 2020 — 10th
Nonrenewable natural capital, metals and minerals: cobalt 0 real chained 2019 US$ 2020 — 10th
Nonrenewable natural capital per capita, metals and minerals: copper 39.49 real chained 2019 US$ 2020 down 39.9% 33rd
Nonrenewable natural capital, metals and minerals: copper 2.32 billion real chained 2019 US$ 2020 down 31.7% 25th
Nonrenewable natural capital per capita, metals and minerals 15.42 real chained 2019 US$ 2020 down 17.8% 11th
Nonrenewable natural capital, metals and minerals: phosphate 906.93 million real chained 2019 US$ 2020 down 6.7% 8th
Elderly illiterate population, 65+ years, female 874,905 number 2017 up 32.5% 15th
Out-of-school youth of upper secondary school age, both sexes 597,481 number 2018 down 30.9% 26th
Government expenditure on primary education, PPP$ 18,220 millions 2019 up 45.5% 15th
Elderly illiterate population, 65+ years, male 473,808 number 2017 up 40.5% 13th
Elderly literacy rate, population 65+ years, both sexes 54.5% 2017 down 3.2% 55th
Time to export (days) 16 DB06-15 methodology 2014 down 36.0% 100th
Trading across borders: Time to export (days) (DB06-15 methodology) 79.17 2014 up 31.0% 76th
Trading across borders: Cost to import (US$ per container deflated) 2,080 DB06-15 methodology 2014 down 2.8% 46th
Trading across borders: Cost to import (US$ per container)(DB06-15) 69.61 2014 up 1.6% 139th
Time to import (days) 21 DB06-15 methodology 2014 down 40.0% 82nd
Trading across borders: Time to import (days) (DB06-15 methodology) 72.58 2014 up 45.2% 100th
Trading across borders (DB06-15 methodology) - Score 71.05 2014 up 21.3% 97th
Trading across borders: Documents to export (number) 5 DB06-15 methodology 2014 down 28.6% 109th
Trading across borders: Documents to export (number) (DB06-15) 66.67 2014 up 50.0% 44th
Trading across borders: Documents to import (number) 6 DB06-15 methodology 2014 down 14.3% 107th
Trading across borders: Documents to import (number) (DB06-15) 69.23 2014 up 12.5% 50th
Trading across borders: Cost to export (US$ per container deflated) 1,830 DB06-15 methodology 2014 down 6.0% 41st
Trading across borders: Cost to export (US$ per container) (DB06-15) 69.06 2014 up 3.8% 144th
ODIN Open Data Openness score 0.586 2023 up 113.9% 76th
Geospatial data available at 1st Admin Level 0.301 2023 up 1.3% 77th