| Worldbank Country Statistics for South Sudan | 
|
|  Merchandise exports (current US$) | 890.000.000 | 
|  Diabetes prevalence (% of population ages 20 to 79) | 4,6 | 
|  Merchandise imports (current US$) | 1.184.000.000 | 
|  Proportion of seats held by women in national parliaments (%) | 32,3636 | 
|  Secure Internet servers (per 1 million people) | 5,27488 | 
|  Secure Internet servers | 63 | 
|  CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high) | 1 | 
|  CPIA trade rating (1=low to 6=high) | 2,5 | 
|  CPIA structural policies cluster average (1=low to 6=high) | 2 | 
|  CPIA policies for social inclusion/equity cluster average (1=low to 6=high) | 1,7 | 
|  CPIA efficiency of revenue mobilization rating (1=low to 6=high) | 2 | 
|  CPIA public sector management and institutions cluster average (1=low to 6=high) | 1,3 | 
|  CPIA social protection rating (1=low to 6=high) | 1,5 | 
|  CPIA property rights and rule-based governance rating (1=low to 6=high) | 1,5 | 
|  CPIA equity of public resource use rating (1=low to 6=high) | 2 | 
|  CPIA quality of public administration rating (1=low to 6=high) | 1 | 
|  CPIA macroeconomic management rating (1=low to 6=high) | 1,5 | 
|  IDA resource allocation index (1=low to 6=high) | 1,625 | 
|  CPIA building human resources rating (1=low to 6=high) | 2,5 | 
|  CPIA gender equality rating (1=low to 6=high) | 1,5 | 
|  CPIA fiscal policy rating (1=low to 6=high) | 1,5 | 
|  CPIA financial sector rating (1=low to 6=high) | 2 | 
|  CPIA quality of budgetary and financial management rating (1=low to 6=high) | 1 | 
|  CPIA policy and institutions for environmental sustainability rating (1=low to 6=high) | 1 | 
|  CPIA economic management cluster average (1=low to 6=high) | 1,5 | 
|  CPIA debt policy rating (1=low to 6=high) | 1,5 | 
|  CPIA business regulatory environment rating (1=low to 6=high) | 1,5 | 
|  Merchandise trade (% of GDP) | 31,925 | 
|  Urban population (% of total) | 21,56 | 
|  Urban population | 2.575.000 | 
|  Urban population growth (annual %) | 5,63538 | 
|  Rural population (% of total population) | 78,44 | 
|  Rural population growth (annual %) | 3,46368 | 
|  Rural population | 9.368.410 | 
|  Population, male (% of total) | 49,185 | 
|  Population, male | 5.874.360 | 
|  Population, female (% of total) | 50,815 | 
|  Population, female | 6.069.040 | 
|  Population, total | 11.943.400 | 
|  Population growth (annual %) | 3,92792 | 
|  Age dependency ratio, young (% of working-age population) | 66,9941 | 
|  Age dependency ratio, old (% of working-age population) | 5,14999 | 
|  Age dependency ratio (% of working-age population) | 72,1441 | 
|  Population ages 80 and above, male (% of male population) | 0,225309 | 
|  Population ages 80 and above, female (% of female population) | 0,394041 | 
|  Population ages 75-79, male (% of male population) | 0,381514 | 
|  Population ages 75-79, female (% of female population) | 0,571474 | 
|  Population ages 70-74, male (% of male population) | 0,714171 | 
|  Population ages 70-74, female (% of female population) | 0,960102 | 
|  Population ages 65 and above (% of total) | 2,99168 | 
|  Population ages 65 and above, total | 357.308 | 
|  Population ages 65 and above, male (% of total) | 2,5339 | 
|  Population ages 65 and above, male | 148.851 | 
|  Population ages 65 and above, female (% of total) | 3,43477 | 
|  Population ages 65 and above, female | 208.457 | 
|  Population ages 65-69, male (% of male population) | 1,21291 | 
|  Population ages 65-69, female (% of female population) | 1,50915 | 
|  Population ages 60-64, male (% of male population) | 1,82249 | 
|  Population ages 60-64, female (% of female population) | 2,16492 | 
|  Population ages 55-59, male (% of male population) | 2,59722 | 
|  Population ages 55-59, female (% of female population) | 2,99056 | 
|  Population ages 50-54, male (% of male population) | 3,69174 | 
|  Population ages 50-54, female (% of female population) | 4,11818 | 
|  Population ages 45-49, male (% of male population) | 4,65347 | 
|  Population ages 45-49, female (% of female population) | 5,0747 | 
|  Population ages 40-44, male (% of male population) | 5,08175 | 
|  Population ages 40-44, female (% of female population) | 5,53439 | 
|  Population ages 35-39, male (% of male population) | 4,38968 | 
|  Population ages 35-39, female (% of female population) | 4,75556 | 
|  Population ages 30-34, male (% of male population) | 5,12443 | 
|  Population ages 30-34, female (% of female population) | 5,25992 | 
|  Time spent dealing with the requirements of government regulations (% of senior management time) | 3,74828 | 
|  Firms offering formal training (% of firms) | 64,9247 | 
|  Value lost due to electrical outages (% of sales for affected firms) | 1 | 
|  Firms visited or required meetings with tax officials (% of firms) | 65,9032 | 
|  Firms formally registered when operations started (% of firms) | 81,8285 | 
|  Firms with female participation in ownership (% of firms) | 33,8287 | 
|  Firms with female top manager (% of firms) | 10,5494 | 
|  Time required to obtain an operating license (days) | 5,50968 | 
|  Informal payments to public officials (% of firms) | 22,8159 | 
|  Firms competing against unregistered firms (% of firms) | 15,2131 | 
|  Bribery incidence (% of firms experiencing at least one bribe payment request) | 27,3945 | 
|  Firms using banks to finance investment (% of firms) | 36,0641 | 
|  Firms using banks to finance working capital (% of firms) | 37,7066 | 
|  Firms experiencing electrical outages (% of firms) | 68,369 | 
|  Delay in obtaining an electrical connection (days) | 7,02079 | 
|  Population ages 25-29, male (% of male population) | 6,68154 | 
|  Population ages 25-29, female (% of female population) | 6,4394 | 
|  Population ages 20-24, male (% of male population) | 10,4267 | 
|  Population ages 20-24, female (% of female population) | 9,98273 | 
|  Population ages 15-64 (% of total) | 58,0909 | 
|  Population ages 15-64, total | 6.938.030 | 
|  Population ages 15-64, male (% of total) | 57,4616 | 
|  Population ages 15-64, male | 3.375.500 | 
|  Population ages 15-64, female (% of total) | 58,6999 | 
|  Population ages 15-64, female | 3.562.520 | 
|  Population ages 15-19, male (% of male population) | 12,9926 | 
|  Population ages 15-19, female (% of female population) | 12,3796 | 
|  Population ages 10-14, male (% of male population) | 14,3432 | 
|  Population ages 10-14, female (% of female population) | 13,59 | 
|  Population ages 5-9, male (% of male population) | 12,3522 | 
|  Population ages 5-9, female (% of female population) | 11,7237 | 
|  Population ages 0-14 (% of total) | 38,9175 | 
|  Population ages 0-14, total | 4.648.070 | 
|  Population ages 0-14, male (% of total) | 40,0045 | 
|  Population ages 0-14, male | 2.350.010 | 
|  Population ages 0-14, female (% of total) | 37,8653 | 
|  Population ages 0-14, female | 2.298.060 | 
|  Population ages 0-4, male (% of male population) | 13,3091 | 
|  Population ages 0-4, female (% of female population) | 12,5517 | 
|  Net migration | 15.374 | 
|  Official exchange rate (LCU per US$, period average) | 2.163,1 | 
|  DEC alternative conversion factor (LCU per US$) | 1.229,1 | 
|  Risk premium on lending (lending rate minus treasury bill rate, %) | -5,72648 | 
|  Real interest rate (%) | -58,6318 | 
|  Interest rate spread (lending rate minus deposit rate, %) | 14,5447 | 
|  Lending interest rate (%) | 14,6835 | 
|  Deposit interest rate (%) | 0,138788 | 
|  Inflation, consumer prices (annual %) | 91,4408 | 
|  Consumer price index (2010 = 100) | 41.280,7 | 
|  Bank liquid reserves to bank assets ratio (%) | 65,3526 | 
|  Domestic credit to private sector by banks (% of GDP) | 6,63973 | 
|  Terrestrial and marine protected areas (% of total territorial area) | 15,4 | 
|  Terrestrial protected areas (% of total land area) | 15,4 | 
|  Population in the largest city (% of urban population) | 18,6159 | 
|  Population in largest city | 479.359 | 
|  Number of visits or required meetings of affected firms with tax officials | 6,22074 | 
|  Firms expected to give gifts in meetings with tax officials (% of firms) | 24,9987 |