Worldbank Country Statistics for South Sudan
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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 |