PAINTMAPS.comGeneral Information for Syria | ||
| What is the capital city of Syria ? | Damascus |  |
| What is the total area of Syria ? (km2) | 185.180 | |
| What is the population in Syria ? (2020) | 17.500.658 | |
| What is the median age in Syria ? | 26 | |
| What is the iso country code for Syria ? (2lt) | SY | |
| What is the iso country code for Syria ? (3lt) | SYR | |
| What continent is Syria in ? | Asia | |
| What currency is used in Syria ? | Syrian Pound | |
| What is the currency code for Syria ? | SYP | |
| What is the tel code for Syria ? | +963 | |
| What language use in Syria ? | Arabic | |
| What is the language code for Arabic ? | AR | |
| What is the internet TLD code for Syria ? | .sy | |
| Where is the highest place in Syria ? | Jabal el-Sheikh (2814 m.) | |
| Where is the lowest place in Syria ? | Northeast shores of the Sea of Galilee in the Golan Heights (-214 m.) | |
* Click on the map icon to see the statistics on the map.
Worldbank Country Statistics for Syria | |
 Merchandise trade (% of GDP) | 45,0432 |
| Urban population (% of total) | 58,044 |
| Urban population | 14.321.100 |
| Urban population growth (annual %) | 5,56812 |
| Rural population (% of total population) | 41,956 |
| Rural population growth (annual %) | 2,96594 |
| Rural population | 10.351.700 |
| Population, male (% of total) | 50,0194 |
| Population, male | 12.341.200 |
| Population, female (% of total) | 49,9806 |
| Population, female | 12.331.600 |
| Population, total | 24.672.800 |
| Population growth (annual %) | 4,4681 |
| Age dependency ratio, young (% of working-age population) | 44,1236 |
| Age dependency ratio, old (% of working-age population) | 7,1741 |
| Age dependency ratio (% of working-age population) | 51,2977 |
| Population ages 80 and above, male (% of male population) | 0,479711 |
| Population ages 80 and above, female (% of female population) | 0,752336 |
| Population ages 75-79, male (% of male population) | 0,746655 |
| Population ages 75-79, female (% of female population) | 0,916244 |
| Population ages 70-74, male (% of male population) | 1,17794 |
| Population ages 70-74, female (% of female population) | 1,48513 |
| Population ages 65 and above (% of total) | 4,74171 |
| Population ages 65 and above, total | 1.169.910 |
| Population ages 65 and above, male (% of total) | 4,19449 |
| Population ages 65 and above, male | 517.649 |
| Population ages 65 and above, female (% of total) | 5,28935 |
| Population ages 65 and above, female | 652.261 |
| Population ages 65-69, male (% of male population) | 1,79018 |
| Population ages 65-69, female (% of female population) | 2,13564 |
| Population ages 60-64, male (% of male population) | 2,46467 |
| Population ages 60-64, female (% of female population) | 2,83418 |
| Population ages 55-59, male (% of male population) | 3,24011 |
| Population ages 55-59, female (% of female population) | 3,59654 |
| Population ages 50-54, male (% of male population) | 3,97828 |
| Population ages 50-54, female (% of female population) | 4,3107 |
| Population ages 45-49, male (% of male population) | 4,75441 |
| Population ages 45-49, female (% of female population) | 5,03088 |
| Population ages 40-44, male (% of male population) | 5,35803 |
| Population ages 40-44, female (% of female population) | 5,55434 |
| Population ages 35-39, male (% of male population) | 5,95603 |
| Population ages 35-39, female (% of female population) | 5,93758 |
| Population ages 30-34, male (% of male population) | 6,74194 |
| Population ages 30-34, female (% of female population) | 6,46816 |
| Merchandise exports (current US$) | 3.417.000.000 |
| Proportion of seats held by women in national parliaments (%) | 9,6 |
| Secure Internet servers (per 1 million people) | 113,891 |
| Secure Internet servers | 2.810 |
| Merchandise imports (current US$) | 6.240.000.000 |
| Population ages 25-29, male (% of male population) | 9,62295 |
| Population ages 25-29, female (% of female population) | 9,3414 |
| Population ages 20-24, male (% of male population) | 11,7795 |
| Population ages 20-24, female (% of female population) | 11,5228 |
| Population ages 15-64 (% of total) | 66,0949 |
| Population ages 15-64, total | 16.307.400 |
| Population ages 15-64, male (% of total) | 65,9662 |
| Population ages 15-64, male | 8.141.000 |
| Population ages 15-64, female (% of total) | 66,2236 |
| Population ages 15-64, female | 8.166.430 |
| Population ages 15-19, male (% of male population) | 12,0702 |
| Population ages 15-19, female (% of female population) | 11,6271 |
| Population ages 10-14, male (% of male population) | 11,3268 |
| Population ages 10-14, female (% of female population) | 10,785 |
| Population ages 5-9, male (% of male population) | 8,33712 |
| Population ages 5-9, female (% of female population) | 7,97636 |
| Population ages 0-14 (% of total) | 29,1634 |
| Population ages 0-14, total | 7.195.420 |
| Population ages 0-14, male (% of total) | 29,8393 |
| Population ages 0-14, male | 3.682.520 |
| Population ages 0-14, female (% of total) | 28,487 |
| Population ages 0-14, female | 3.512.900 |
| Population ages 0-4, male (% of male population) | 10,1754 |
| Population ages 0-4, female (% of female population) | 9,72565 |
| Net migration | 546.494 |
| Unemployment, total (% of total labor force) (modeled ILO estimate) | 12,962 |
| Unemployment, male (% of male labor force) (modeled ILO estimate) | 10,435 |
| Unemployment, female (% of female labor force) (modeled ILO estimate) | 24,652 |
| DEC alternative conversion factor (LCU per US$) | 14.145 |
| Terrestrial and marine protected areas (% of total territorial area) | 0,7 |
| Marine protected areas (% of territorial waters) | 0,2 |
| Terrestrial protected areas (% of total land area) | 0,7 |
| Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate) | 31,477 |
| Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate) | 27,846 |
| Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate) | 47,935 |
| Labor force, total | 6.616.920 |
| Labor force, female (% of total labor force) | 17,7775 |
| Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | 37,86 |
| Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | 62,833 |
| Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | 21,2293 |
| Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | 13,339 |
| Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate) | 39,72 |
| Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate) | 65,27 |
| Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate) | 14,249 |
| Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate) | 25,201 |
| Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate) | 40,671 |
| Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate) | 9,251 |
| Population in urban agglomerations of more than 1 million (% of total population) | 26,3554 |
| Population in urban agglomerations of more than 1 million | 6.502.610 |
| Population in the largest city (% of urban population) | 18,7511 |
| Population in largest city | 2.685.360 |
| Employment to population ratio, 15+, total (%) (modeled ILO estimate) | 32,952 |
| Employment to population ratio, 15+, male (%) (modeled ILO estimate) | 56,277 |
| Employment to population ratio, 15+, female (%) (modeled ILO estimate) | 10,051 |
| Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | 17,269 |
| Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate) | 29,346 |
| Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | 4,817 |
| Diabetes prevalence (% of population ages 20 to 79) | 19 |