PAINTMAPS.comGeneral Information for North Korea | ||
| What is the capital city of North Korea ? | Pyongyang |  |
| What is the total area of North Korea ? (km2) | 120.538 | |
| What is the population in North Korea ? (2020) | 25.778.816 | |
| What is the median age in North Korea ? | 35 | |
| What is the iso country code for North Korea ? (2lt) | KP | |
| What is the iso country code for North Korea ? (3lt) | PRK | |
| What continent is North Korea in ? | Asia | |
| What currency is used in North Korea ? | North Korean Won | |
| What is the currency code for North Korea ? | KPW | |
| What is the tel code for North Korea ? | +850 | |
| What language use in North Korea ? | Korean | |
| What is the language code for Korean ? | KO | |
| What is the internet TLD code for North Korea ? | .kp | |
| Where is the highest place in North Korea ? | Paektu-san (2744 m.) | |
| Where is the lowest place in North Korea ? | Sea of Japan (0 m.) | |
* Click on the map icon to see the statistics on the map.
Worldbank Country Statistics for North Korea | |
 Urban population (% of total) | 63,503 |
| Urban population | 16.827.500 |
| Urban population growth (annual %) | 0,778243 |
| Rural population (% of total population) | 36,497 |
| Rural population growth (annual %) | 0,513935 |
| Rural population | 9.671.280 |
| Population, male (% of total) | 49,4691 |
| Population, male | 13.108.700 |
| Population, female (% of total) | 50,5309 |
| Population, female | 13.390.100 |
| Population, total | 26.498.800 |
| Population growth (annual %) | 0,3047 |
| Age dependency ratio, young (% of working-age population) | 27,5983 |
| Age dependency ratio, old (% of working-age population) | 18,0616 |
| Age dependency ratio (% of working-age population) | 45,66 |
| Population ages 80 and above, male (% of male population) | 1,58622 |
| Population ages 80 and above, female (% of female population) | 3,3539 |
| Population ages 75-79, male (% of male population) | 2,07027 |
| Population ages 75-79, female (% of female population) | 3,00339 |
| Population ages 70-74, male (% of male population) | 2,42562 |
| Population ages 70-74, female (% of female population) | 2,93784 |
| Population ages 65 and above (% of total) | 12,3999 |
| Population ages 65 and above, total | 3.285.820 |
| Population ages 65 and above, male (% of total) | 10,5704 |
| Population ages 65 and above, male | 1.385.650 |
| Population ages 65 and above, female (% of total) | 14,1909 |
| Population ages 65 and above, female | 1.900.170 |
| Population ages 65-69, male (% of male population) | 4,48832 |
| Population ages 65-69, female (% of female population) | 4,89575 |
| Population ages 60-64, male (% of male population) | 5,58728 |
| Population ages 60-64, female (% of female population) | 5,83238 |
| Population ages 55-59, male (% of male population) | 7,51735 |
| Population ages 55-59, female (% of female population) | 7,59353 |
| Population ages 50-54, male (% of male population) | 8,05043 |
| Population ages 50-54, female (% of female population) | 7,94916 |
| Population ages 45-49, male (% of male population) | 6,27954 |
| Population ages 45-49, female (% of female population) | 6,10034 |
| Population ages 40-44, male (% of male population) | 6,56719 |
| Population ages 40-44, female (% of female population) | 6,31278 |
| Population ages 35-39, male (% of male population) | 7,10935 |
| Population ages 35-39, female (% of female population) | 6,78765 |
| Population ages 30-34, male (% of male population) | 7,64133 |
| Population ages 30-34, female (% of female population) | 7,24923 |
| Merchandise exports (current US$) | 501.000.000 |
| Diabetes prevalence (% of population ages 20 to 79) | 9,9 |
| Arms exports (SIPRI trend indicator values) | 243.000.000 |
| Merchandise imports (current US$) | 2.374.000.000 |
| Proportion of seats held by women in national parliaments (%) | 17,6128 |
| Secure Internet servers (per 1 million people) | 10,4156 |
| Secure Internet servers | 276 |
| Population ages 25-29, male (% of male population) | 7,60492 |
| Population ages 25-29, female (% of female population) | 7,16862 |
| Population ages 20-24, male (% of male population) | 7,00997 |
| Population ages 20-24, female (% of female population) | 6,58072 |
| Population ages 15-64 (% of total) | 68,653 |
| Population ages 15-64, total | 18.192.200 |
| Population ages 15-64, male (% of total) | 69,7733 |
| Population ages 15-64, male | 9.146.390 |
| Population ages 15-64, female (% of total) | 67,5563 |
| Population ages 15-64, female | 9.045.860 |
| Population ages 15-19, male (% of male population) | 6,40595 |
| Population ages 15-19, female (% of female population) | 5,98186 |
| Population ages 10-14, male (% of male population) | 6,35068 |
| Population ages 10-14, female (% of female population) | 5,91243 |
| Population ages 5-9, male (% of male population) | 6,62639 |
| Population ages 5-9, female (% of female population) | 6,15138 |
| Population ages 0-14 (% of total) | 18,9471 |
| Population ages 0-14, total | 5.020.760 |
| Population ages 0-14, male (% of total) | 19,6563 |
| Population ages 0-14, male | 2.576.680 |
| Population ages 0-14, female (% of total) | 18,2529 |
| Population ages 0-14, female | 2.444.080 |
| Population ages 0-4, male (% of male population) | 6,67919 |
| Population ages 0-4, female (% of female population) | 6,18904 |
| Net migration | -2.473 |
| Unemployment, total (% of total labor force) (modeled ILO estimate) | 2,859 |
| Unemployment, male (% of male labor force) (modeled ILO estimate) | 2,758 |
| Unemployment, female (% of female labor force) (modeled ILO estimate) | 2,967 |
| Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate) | 6,757 |
| Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate) | 6,076 |
| Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate) | 7,409 |
| Labor force, total | 17.637.400 |
| Labor force, female (% of total labor force) | 48,2138 |
| Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | 82,118 |
| Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | 86,724 |
| Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | 89,5796 |
| Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | 77,687 |
| Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate) | 88,996 |
| Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate) | 90,989 |
| Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate) | 86,98 |
| Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate) | 78,243 |
| Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate) | 74,914 |
| Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate) | 81,724 |
| Terrestrial and marine protected areas (% of total territorial area) | 1,3 |
| Marine protected areas (% of territorial waters) | 0 |
| Terrestrial protected areas (% of total land area) | 2,4 |
| Employment to population ratio, 15+, total (%) (modeled ILO estimate) | 79,771 |
| Employment to population ratio, 15+, male (%) (modeled ILO estimate) | 84,332 |
| Employment to population ratio, 15+, female (%) (modeled ILO estimate) | 75,382 |
| Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | 72,956 |
| Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate) | 70,362 |
| Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | 75,669 |
| Population in urban agglomerations of more than 1 million (% of total population) | 12,0124 |
| Population in urban agglomerations of more than 1 million | 3.183.140 |
| Population in the largest city (% of urban population) | 18,9162 |
| Population in largest city | 3.183.140 |