Population density (people per sq. km of land area) in Syria was reported at 121 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Syria - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Syria SY: Population Density: People per Square Km data was reported at 99.493 Person/sq km in 2017. This records a decrease from the previous number of 100.367 Person/sq km for 2016. Syria SY: Population Density: People per Square Km data is updated yearly, averaging 65.733 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 114.463 Person/sq km in 2010 and a record low of 25.693 Person/sq km in 1961. Syria SY: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Syrian Arab Republic – Table SY.World Bank: Population and Urbanization Statistics. Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.; ; Food and Agriculture Organization and World Bank population estimates.; Weighted Average;

Syrian Arab Republic population density for 2022 was 121.30, a 2.98% increase from 2021.

<ul style='margin-top:20px;'>

<li>Syrian Arab Republic population density for 2021 was <strong>117.78</strong>, a <strong>2.75% increase</strong> from 2020.</li>
<li>Syrian Arab Republic population density for 2020 was <strong>114.63</strong>, a <strong>3.42% increase</strong> from 2019.</li>
<li>Syrian Arab Republic population density for 2019 was <strong>110.84</strong>, a <strong>3.96% increase</strong> from 2018.</li>
</ul>Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.

Historical dataset showing Syrian Arab Republic population density by year from 1961 to 2022.

This land use dataset complements 13 other datasets as part of a study that compared ancient settlement patterns with modern environmental conditions in the Jazira region of Syria. This study examined settlement distribution and density patterns over the past five millennia using archaeological survey reports and French 1930s 1:200,000 scale maps to locate and map archaeological sites. An archaeological site dataset was created and compared to and modelled with soil, geology, terrain (contour), surface and subsurface hydrology and normal and dry year precipitation pattern datasets; there are also three spreadsheet datasets providing 1963 precipitation and temperature readings collected at three locations in the region. The environmental datasets were created to account for ancient and modern population subsistence activities, which comprise barley and wheat farming and livestock grazing. These environmental datasets were subsequently modelled with the archaeological site dataset, as well as, land use and population density datasets for the Jazira region. Ancient trade routes were also mapped and factored into the model, and a comparison was made to ascertain if there was a correlation between ancient and modern settlement patterns and environmental conditions; the latter influencing subsistence activities. This land use dataset was created to show land use patterns in the Jazira region. Dry farming and grazing activities have sustained human populations in the region for the past nine millennia to the present. The land use dataset is attributed with land use type, other land uses and tertiary land use activities. Additional attributes include soil type, secondary soil type and soil code variables. This dataset corresponds with the soil dataset, but this metadata record was created for discovery purposes.

This statistic shows the age structure in Syria from 2013 to 2023. In 2023, about 30.34 percent of Syria's total population were aged 0 to 14 years. The shrinking population of Syria In the past, Syria’s population has been one of the fastest growing populations around the world. While the fertility rate is much lower now than it has been, in 2013, World Bank figures show a fertility rate of 3 children per woman. This rate is still relatively high, but the country’s historically expanding population has left the country with a large cohort of young people: Almost 40 percent of the Syrian population is under 14 years of age, with close to 60 percent of the population aged 15 to 64. This leaves around a meager 4 percent of Syrians who are over 65 years old. At present, the median age of the population is estimated to be around 23 years, which means half the population is under 23, leaving large numbers of young people at the mercy of the war that has plagued the country. As of October 2015, 12,517 children were reportedly killed in the fighting, with the number of unreported cases being presumably much higher than this. This dire situation has caused many people to flee the country and it is no surprise that the majority of them are young. Despite a high fertility rate, this mass emigration has significantly stalled population growth in the country, a trend which is expected to continue especially as an overwhelming majority of Syrians – 46 percent - stated they would leave the country if given the opportunity.

Syria SY: Population Density: Inhabitants per sq km data was reported at 121.300 Person in 2022. This records an increase from the previous number of 117.780 Person for 2021. Syria SY: Population Density: Inhabitants per sq km data is updated yearly, averaging 104.520 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 124.590 Person in 2011 and a record low of 68.450 Person in 1990. Syria SY: Population Density: Inhabitants per sq km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Syrian Arab Republic – Table SY.OECD.GGI: Social: Demography: Non OECD Member: Annual.

Comprehensive socio-economic dataset for Syria including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Chart and table of population level and growth rate for the Damascus, Syria metro area from 1950 to 2025.

Density of physicians of Syrian Arab Republic sank by 17.98% from 1.4 number per thousand population in 2014 to 1.2 number per thousand population in 2016. Since the 1.90% upward trend in 2010, density of physicians plummeted by 15.10% in 2016.

Constrained estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.

More information can be found in the Release Statement

The difference between constrained and unconstrained is explained on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained

This dataset complements 13 other datasets as part of a study that compared ancient settlement patterns with modern environmental conditions in the Jazira region of Syria. This study examined settlement distribution and density patterns over the past five millennia using archaeological survey reports and French 1930s 1:200,000 scale maps to locate and map archaeological sites. An archaeological site dataset was created and compared to and modelled with soil, geology, terrain (contour), surface and subsurface hydrology and normal and dry year precipitation pattern datasets; there are also three spreadsheet datasets providing 1963 precipitation and temperature readings collected at three locations in the region. The environmental datasets were created to account for ancient and modern population subsistence activities, which comprise barley and wheat farming and livestock grazing. These environmental datasets were subsequently modelled with the archaeological site dataset, as well as, land use and population density datasets for the Jazira region. Ancient trade routes were also mapped and factored into the model, and a comparison was made to ascertain if there was a correlation between ancient and modern settlement patterns and environmental conditions; the latter influencing subsistence activities. This dataset was created to show precipitation patterns for normal years in the Jazira region; annual precipitation is measured in millimetres. The purpose of mapping was to compare precipitation and settlement patterns in the region. The northern half of the Jazira region receives adequate annual rainfall to sustain dry farming activities; during dry seasons, suitable rainfall is restricted to the northern edges of the region and in higher elevations. Derived from maps produced in following publication: Eugen Wirth: Syrien, eine geographsiche Landeskunde, Wissenschaftliche Buchgesellschaft, Darmstadt 1971.Normal year precipitation map was copied to mylar and scanned to create a polygon coverage. Each polygon was labeled and attributed with precipitation values measured in millimetres. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-09-14 and migrated to Edinburgh DataShare on 2017-02-21.

This surface hydrology dataset complements 13 other datasets as part of a study that compared ancient settlement patterns with modern environmental conditions in the Jazira region of Syria. This study examined settlement distribution and density patterns over the past five millennia using archaeological survey reports and French 1930s 1:200,000 scale maps to locate and map archaeological sites. An archaeological site dataset was created and compared to and modelled with soil, geology, terrain (contour), surface and subsurface hydrology and normal and dry year precipitation pattern datasets; there are also three spreadsheet datasets providing 1963 precipitation and temperature readings collected at three locations in the region. The environmental datasets were created to account for ancient and modern population subsistence activities, which comprise barley and wheat farming and livestock grazing. These environmental datasets were subsequently modelled with the archaeological site dataset, as well as, land use and population density datasets for the Jazira region. Ancient trade routes were also mapped and factored into the model, and a comparison was made to ascertain if there was a correlation between ancient and modern settlement patterns and environmental conditions; the latter influencing subsistence activities. All surface hydrology was captured for this dataset including ephemeral streams such as wadis. This dataset's attributes include stream order (0 to 6) and types (ephemeral, intermittent and permanent) and values. Settlement pattern evidence suggests that water runoff, from ephemeral and seasonal streams, could have been used to irrigate crops? Rainfall patterns in the Jazira region indicate more for higher elevations, this occurring during wetter times of the year (winter and spring).

This temperature and precipitation dataset in csv format complements 13 other datasets as part of a study that compared ancient settlement patterns with modern environmental conditions in the Jazira region of Syria.

This study examined settlement distribution and density patterns over the past five millennia using archaeological survey reports and French 1930s 1:200,000 scale maps to locate and map archaeological sites. An archaeological site dataset was created and compared to and modelled with soil, geology, terrain (contour), surface and subsurface hydrology and normal and dry year precipitation pattern datasets; there are also three spreadsheet datasets providing 1963 precipitation and temperature readings collected at three locations in the region. The environmental datasets were created to account for ancient and modern population subsistence activities, which comprise barley and wheat farming and livestock grazing.

These environmental datasets were subsequently modelled with the archaeological site dataset, as well as, land use and population density datasets for the Jazira region. Ancient trade routes were also mapped and factored into the model, and a comparison was made to ascertain if there was a correlation between ancient and modern settlement patterns and environmental conditions; the latter influencing subsistence activities.

These temperature and precipitation data were transferred to and processed in a spreadsheet to generate bar graph to display evapotranspiration (ETP) rate for al-Hasakah, Syria. Purpose was to show differences in evapotranspiration rates between the south, middle and north of the Jazira; higher ETP rates occur in the south near Dayr az-Zawr, Syria.

Abstract

The Syrian crisis has caused one of the largest episodes of forced displacement since World War II and some of the densest refugee-hosting situations in modern history. Syria's immediate neighbors host the bulk of Syrian refugees. The host countries were dealing with impact of inflow of refugees as well as consequences of the Syrian conflict such as disruption on trade and economic activity and growth and spread of the Islamic State. This survey was designed to generate comparable findings on the lives and livelihoods of Syrian refugees and host communities in Jordan, Lebanon and Kurdistan, Iraq.

The goals of the survey originally were: - to assess the socio-economic and living conditions of a representative sample of the Syrian refugee and host community population. - to understand the implications in terms of social and economic conditions on the host communities. - to identify strategies to support Syrian refugees and host communities in the immediate and longer term.

Geographic coverage

Syrian refugee and host community in Jordan

Analysis unit

Refugee household and individual

Kind of data

Sample survey data [ssd]

Sampling procedure

Jordan has carried out Population and Housing Censuses on regular intervals, with the last one in late 2015. What was particularly attractive about the latest census from the perspective of sampling was that it explicitly asked about the nationality of all residents. This would have allowed stratification of areas by density of Syrians. However, the original design could not be implemented because we could not access the new sample frame based on the 2015 Jordanian census. The design was then amended to include a representative sample of the Azraq and Za'atari camps (which account for the vast majority of Syrian refugees in camps in Jordan). This sample was complemented by purposive samples of the surrounding governorates, Mafraq and Zarqa, where the sample included areas physically proximate to the camp and other areas with a high number of Syrian refugees. In Amman Governorate, a purposive sample was drawn, combining a geographically distributed sample with a sample of areas with a high prevalence of Syrian refugees per the 2015 census, as indicated by the Jordanian Department of Statistics. Analytically, this implies the insights from Jordan will be limited to camp residents, neighboring areas of the camps, and Amman governorate. For this reason, Amman is left out of the rest of the discussion, where our focus is on relating the innovative approaches that we followed to obtain near-representative sample in absence of recent sampling frame.

Note: A more detailed description of the sample design is presented in Section 2 of "Survey Design and Sampling: A methodology note for the 2015-16 surveys of Syrian refugees and host communities in Jordan, Lebanon and Kurdistan, Iraq" document.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey instrument was administered across Lebanon, Jordan, and KRI, with slight modifications depending on the structure of refugee living conditions. The survey includes detailed questions on demographics, employment, access to public services, health, migration, and perceptions.

This bar chart displays urban population (people) by ISO 2 country code using the aggregation sum in Syrian Arab Republic. The data is filtered where the date is 2021. The data is about countries per year.

SY：人口密度：每平方公里人口在12-01-2017达99.493Person/sq km，相较于12-01-2016的100.367Person/sq km有所下降。SY：人口密度：每平方公里人口数据按年更新，12-01-1961至12-01-2017期间平均值为65.733Person/sq km，共57份观测结果。该数据的历史最高值出现于12-01-2010，达114.463Person/sq km，而历史最低值则出现于12-01-1961，为25.693Person/sq km。CEIC提供的SY：人口密度：每平方公里人口数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的阿拉伯叙利亚共和国 – 表 SY.世界银行：人口和城市化进程统计。

Density. The DensityMatrixSij.csv contains the population density between every Syrian city i and Lebanese city j. (CSV 7 kB)

This bar chart displays female population (people) by country full name using the aggregation sum in Syrian Arab Republic. The data is filtered where the date is 2021. The data is about countries per year.

Mean change in values (n = 96) between original multicriteria decision analysis outputs compared to new maps with either equal weights for all predictor variables, or assuming linear membership functions for all predictor variables.