Population density (people per sq. km of land area) in Lebanon was reported at 562 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Lebanon - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Historical chart and dataset showing Lebanon population density by year from 1961 to 2022.

Lebanon LB: Population Density: People per Square Km data was reported at 594.561 Person/sq km in 2017. This records an increase from the previous number of 587.162 Person/sq km for 2016. Lebanon LB: Population Density: People per Square Km data is updated yearly, averaging 261.709 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 594.561 Person/sq km in 2017 and a record low of 182.268 Person/sq km in 1961. Lebanon LB: 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 Lebanon – Table LB.World Bank.WDI: 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;

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.

Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator)

-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method.
-Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method.

Data for earlier dates is available directly from WorldPop.

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674

Lebanon: Population density, in people per sq. mile: The latest value from is people per sq. mile, unavailable from people per sq. mile in . In comparison, the world average is 0 people per sq. mile, based on data from countries. Historically, the average for Lebanon from to is people per sq. mile. The minimum value, people per sq. mile, was reached in while the maximum of people per sq. mile was recorded in .

Lebanon population density for 400m H3 hexagons.

Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution.

Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.

Historical dataset showing Lebanon population density by year from 1961 to 2022.

Lebanon LB: Population Density: Inhabitants per sq km data was reported at 561.530 Person in 2022. This records an increase from the previous number of 558.960 Person for 2021. Lebanon LB: Population Density: Inhabitants per sq km data is updated yearly, averaging 464.430 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 632.690 Person in 2015 and a record low of 351.430 Person in 1990. Lebanon LB: 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 Lebanon – Table LB.OECD.GGI: Social: Demography: Non OECD Member: Annual.

Comprehensive socio-economic dataset for Lebanon 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.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains human population density measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.

LB：人口密度：每平方公里人口在12-01-2017达594.561Person/sq km，相较于12-01-2016的587.162Person/sq km有所增长。LB：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261.709Person/sq km，共57份观测结果。该数据的历史最高值出现于12-01-2017，达594.561Person/sq km，而历史最低值则出现于12-01-1961，为182.268Person/sq km。CEIC提供的LB：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，数据归类于全球数据库的黎巴嫩 – 表 LB.世行.WDI：人口和城市化进程统计。

561,5 (человек на кв. км территории) в 2022. Плотность населения – это среднегодовая численность населения, деленная на площадь участка в квадратных километрах.

Abstract

Due to the lack of disability data in the Syria crisis context, Humanity & Inclusion (HI) and iMMAP conducted a disability assessment in 2017 and 2018 with the following objectives:

1. Provide statistically reliable data on the prevalence of disabilities as well as data on access to services disaggregated by disability.

2. Increase the understanding of the situation of Syrian refugees with disabilities and their households compared to their peers without disabilities in relation to access to services, including education.

3. Recommend inclusive actions to be prioritized by humanitarian actors.

Quantitative data was collected in Lebanon in December 2017 and in Jordan in between October 2017 and January 2018. In Lebanon, 2,495 refugees from 506 households were randomly sampled in urban settings in Bar Elias as well as Informal Tented Settlements (ITS) in Bar Elias and Arsal. In Jordan, 6,381 refugees were randomly sampled in 1,159 households in Azraq and Zaatari camps and Irbid. In light of the United Nations Convention on the Rights of Persons with Disabilities (UN CRPD), the study defined disability as interactions between personal and environmental factors. Disability was measured by the level of difficulties a person faces when performing basic activities (referred as “domains”) regardless of impairments, using the modified Washington Group’s Extended Set (WG-ES) (more precisely, Short Set Enhanced plus fatigue) and Child Functioning Module (CFM).

Geographic coverage

Jordan: Azraq, Zaatari and Irbid camps Lebanon: Urban setting in Bar Elias as well as Informal Tented Settlements (ITS) in Bar Elias and Arsal

Analysis unit

Households

Universe

All households in selected camps

Kind of data

Sample survey data [ssd]

Sampling procedure

Lebanon: Random sampling was adopted to reflect and compare the experiences of both registered and non-registered Syrian refugees with the United Nations High Commissioner for Refugees (UNHCR), as well as of both persons with and without disabilities. For Bar Elias, a random sample was generated covering all parts of the town. For ITS, random shelters were selected by satellite

Jordan: Random sampling was adopted to reflect and compare the experiences of both registered and non-registered Syrian refugees with United Nations High Commissioner for Refugees (UNHCR), as well as of both persons with and without disabilities. - All the residents in Azraq and Zaatari camps are registered. A random sample of shelters was constituted using available data relating to the structure of the camps. - Irbid is a city located North of Jordan’s capital Amman, and hosts approximately 20% of Syrian refugees in the country (UNHCR, 2018b). As there is no list of unregistered Syrian refugees in the city, the study employed twostage sampling. The first stage identified 3,600 random locations in the city, taking Irbid’s population density into account. Among these random locations, enumerators randomly visited households (including those of Jordanian families) until the Syrian refugee household/family sample size was large enough to enable generalization of statistical results to the entire study population.

Mode of data collection

Face-to-face [f2f]

レバノンの人口密度を国土面積と総人口から算出し最新の推移グラフや日本との比較表、世界人口密度ランキング(狭い)等を用い、人口密度が低いのか高いのかを説明しています。各種データはcsv出力・ダウンロードも可能です。（EXCELでも使用可能）元データのソースはworldbank.orgで、当サイト(GraphToChart)が独自に計算・算出し全て無料で利用可能ですので、研究や分析レポートにお役立て頂ければ幸いです。

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.