Iran: Population density, people per square km: The latest value from 2023 is 56 people per square km, an increase from 55 people per square km in 2022. In comparison, the world average is 471 people per square km, based on data from 196 countries. Historically, the average for Iran from 1961 to 2023 is 35 people per square km. The minimum value, 14 people per square km, was reached in 1961 while the maximum of 56 people per square km was recorded in 2023.

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

Iran IR: Population Density: People per Square Km data was reported at 49.831 Person/sq km in 2017. This records an increase from the previous number of 49.287 Person/sq km for 2016. Iran IR: Population Density: People per Square Km data is updated yearly, averaging 33.631 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 49.831 Person/sq km in 2017 and a record low of 13.802 Person/sq km in 1961. Iran IR: 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 Iran – Table IR.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;

Population density (people per sq. km of land area) in Iran was reported at 55.85 sq. Km in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Iran - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2026.

Historical data for Population density in Iran from 2020 to 2026

View yearly updates and historical trends for Iran Population Density. Source: World Bank. Track economic data with YCharts analytics.

Linkage disequilibrium (LD) across the genome provides information to identify the genes and variations related to quantitative traits in genome-wide association studies (GWAS) and for the implementation of genomic selection (GS). LD can also be used to evaluate genetic diversity and population structure and reveal genomic regions affected by selection. LD structure and Ne were assessed in a set of 83 water buffaloes, comprising Azeri (AZI), Khuzestani (KHU), and Mazandarani (MAZ) breeds from Iran, Kundi (KUN) and Nili-Ravi (NIL) from Pakistan, Anatolian (ANA) buffalo from Turkey, and buffalo from Egypt (EGY). The values of corrected r2 (defined as the correlation between two loci) of adjacent SNPs for three pooled Iranian breeds (IRI), ANA, EGY, and two pooled Pakistani breeds (PAK) populations were 0.24, 0.28, 0.27, and 0.22, respectively. The corrected r2 between SNPs decreased with increasing physical distance from 100 Kb to 1 Mb. The LD values for IRI, ANA, EGY, and PAK populations were 0.16, 0.23, 0.24, and 0.21 for less than 100Kb, respectively, which reduced rapidly to 0.018, 0.042, 0.059, and 0.024, for a distance of 1 Mb. In all the populations, the decay rate was low for distances greater than 2Mb, up to the longest studied distance (15 Mb). The r2 values for adjacent SNPs in unrelated samples indicated that the Affymetrix Axiom 90 K SNP genomic array was suitable for GWAS and GS in these populations. The persistency of LD phase (PLDP) between populations was assessed, and results showed that PLPD values between the populations were more than 0.9 for distances of less than 100 Kb. The Ne in the recent generations has declined to the extent that breeding plans are urgently required to ensure that these buffalo populations are not at risk of being lost. We found that results are affected by sample size, which could be partially corrected for; however, additional data should be obtained to be confident of the results.

IR：人口密度：每平方公里人口在12-01-2017达49.831Person/sq km，相较于12-01-2016的49.287Person/sq km有所增长。IR：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33.631Person/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49.831Person/sq km，而历史最低值则出现于12-01-1961，为13.802Person/sq km。CEIC提供的IR：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伊朗 – 表 IR.世行.WDI：人口和城市化进程统计。

Linkage disequilibrium (LD) across the genome provides information to identify the genes and variations related to quantitative traits in genome-wide association studies (GWAS) and for the implementation of genomic selection (GS). LD can also be used to evaluate genetic diversity and population structure and reveal genomic regions affected by selection. LD structure and Ne were assessed in a set of 83 water buffaloes, comprising Azeri (AZI), Khuzestani (KHU), and Mazandarani (MAZ) breeds from Iran, Kundi (KUN) and Nili-Ravi (NIL) from Pakistan, Anatolian (ANA) buffalo from Turkey, and buffalo from Egypt (EGY). The values of corrected r2 (defined as the correlation between two loci) of adjacent SNPs for three pooled Iranian breeds (IRI), ANA, EGY, and two pooled Pakistani breeds (PAK) populations were 0.24, 0.28, 0.27, and 0.22, respectively. The corrected r2 between SNPs decreased with increasing physical distance from 100 Kb to 1 Mb. The LD values for IRI, ANA, EGY, and PAK populations were 0.16, 0.23, 0.24, and 0.21 for less than 100Kb, respectively, which reduced rapidly to 0.018, 0.042, 0.059, and 0.024, for a distance of 1 Mb. In all the populations, the decay rate was low for distances greater than 2Mb, up to the longest studied distance (15 Mb). The r2 values for adjacent SNPs in unrelated samples indicated that the Affymetrix Axiom 90 K SNP genomic array was suitable for GWAS and GS in these populations. The persistency of LD phase (PLDP) between populations was assessed, and results showed that PLPD values between the populations were more than 0.9 for distances of less than 100 Kb. The Ne in the recent generations has declined to the extent that breeding plans are urgently required to ensure that these buffalo populations are not at risk of being lost. We found that results are affected by sample size, which could be partially corrected for; however, additional data should be obtained to be confident of the results.

Introduction of features Development indicators: - Housing indicators - Education indicators - Demographic indicators - Employment indicators - Information access indicators - Environmental indicators - Infrastructure indicators

Education indicators: - Literacy percentage of the population aged 6 years and older - Percentage of Basudans with higher education - Per capita users in the education sector

Housing indicators: - The age of the building - Type of building materials - Size of residential units - The number of rooms available to the household - How to occupy a residential unit

Demographic indicators - population density - Population growth percentage - Family size - Percentage of population up to 14 years old

access to information - Percentage of families with computers - using Internet

the environment - Disposal of kitchen sewage in the side well - Disposal of kitchen sewage in the surrounding environment - Toilet waste disposal in the side well

Infrastructure - Having electricity, landline phone, piped water, piped gas, central heating and cooling device - Having a bathroom and kitchen

Prices (1395 to 1402) - (2016 to 2023): (Average of 1 meter of an Apartments) - Price-1402-03 - Price-1401-08 - Price-1400-05 - Price-1399-05 - Price-1398-05 - Price-1397-05 - Price-1396-09 - Price-1395-08

Source: Statistics Center of Iran's Central Bank

Original provider: Mohammad Sadeghsaba

Dataset credits: Marine & Wetlands Division, Department Of the Environment

Abstract: The habitat specialist Indian Ocean humpback dolphin (Sousa plumbea) is the second most common cetacean in the Persian Gulf. Mousa Bay in the northwestern Persian Gulf is an important, but highly industrialised habitat for this species. We developed a systematic and comprehensive distance sampling survey carried out from 2014 to 2016 to estimate abundance and population density of humpback dolphin in this bay. To evaluate distribution pattern of the species, eight environmental variables were measured and employed in a zero-inflated generalised additive model (ZINB GAM). With an estimated abundance of 92 animals (64–131, 95% CI) and density of 0.123 animal / km2 (0.086–0.176, 95% CI), our results revealed Mousa Bay as one of the largest population of humpback dolphin in northern latitudes of its global range.

BackgroundSocial factors play the main role in the vulnerability of exposed countries to disasters. The COVID-19 pandemic as a disaster is not an exception to this fact. This study aimed to determine the main social vulnerability indicators in the COVID-19 pandemic in Iran.MethodsThis study was conducted during the period of 2021–2022 in three phases, including a systematic review, a virtual panel expert, and the Analytical Hierarchy Process. First, the draft of social vulnerability indicators in COVID-19 was extracted through a systematic review. Then, the extracted indicators were finalized and prioritized by the expert panel and the AHP, respectively.ResultsInitially, the literature review found five domains and 38 indicators of social vulnerability in COVID-19. The outcome of the expert panel increased the related domains to six but decreased the indicators to 31. The three prioritized social vulnerability indicators that were determined by the AHP were population density, accessibility to healthcare facilities, and relevant services and vulnerable groups.ConclusionMeasuring social vulnerability with the identified indicators is valuable for addressing high COVID-19 incidence among socially vulnerable hotspot areas. Regarding the result of this study, further research should be conducted to validate the identified indicators.

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

The survey covers Iran.

Analysis unit

• Household
• Individual

Universe

The WVS for Iran covers national population aged 16 years and over, for both sexes.

Kind of data

Sample survey data [ssd]

Sampling procedure

Because of the size and complexity of the survey population, multi-stage probability sampling methods are used to develop the sample frame for this study.

Stage 1: The total household population of Iran is divided into 28 strata based on the provincial boundariestwenty-seven provinces plus the province of Tehran. In each province, the household population is divided into urban and rural areas. And each urban and rural area is further divided into Census blocks. The SCI has detailed maps of all these urban and rural areas. These areas are divided into Census Enumeration Areas or blocks, which are the smallest geographically specified units. Each unit includes at least ten dwellings for the urban areas and at least one for the rural areas. A block is defined as an area where one can start enumeration from one point and go around the unit and return to the starting point. The size and the population density of these blocks vary. The number of these blocks and their distributions as urban versus rural areas also vary from province to province. In the 28 provinces, the blocks are sampled with probabilities proportionate to size measured in total dwelling units. In the 28 provinces, blocks are sampled in proportion to the total number of dwelling units. In metropolitan areas, where blocks fall into districts with varying socioeconomic status (high, medium, low), these areas are first stratified into homogeneous districts, and then blocks are sampled.

Stage 2: The second stage units of the surveys multi-stage sample design include individual dwelling units, in which respondents reside. The SCI has provided the list of all the dwelling units within each of the selected blocks. A random sample of dwellings units will be selected for contact from the listing for each block. The result will be about 3000 dwellings of which 1800 will be from urban and 1200 from rural areas. The table below shows the population size according to the 1996 Census and its distribution of the population in the urban and rural areas by provinces, the sampled Census blocks, and the share of the sample of households for the urban and rural areas of each province. A final adjustment of the sample size may be made according to the homogeneity or the heterogeneity of the area being sampled. The level of education and economic development are considered the major criteria for assessing the degree of homogeneity of the population.

Stage 3: A single respondent from each sample dwelling unit will be selected according to procedure specified in charts provided to the interviewers. There were three differences between the 2000 and 2005 samples. First, in 2000 sample, the interviewers were not able to get to the provinces of Sistan va Baluchistan and Kurdistan. But in 2005 these provinces were surveyed. Second, in the 2005 the province of Kurdistan was oversampled to allow comparison with Iraqi Kurds. Third, the number of province ware increased to thirty-one in 2005.

The sample size for Iran is N=2667 and includes the national population aged 16 years and over for both sexes.

Mode of data collection

Face-to-face [f2f]

Research instrument

The WVS questionnaire was translated into Persian from the English questionnaire by a member of the research team. The translated questionnaire was also pre-tested. The questionnaire was administered to 200 individuals. In 2005 survey, no question was omitted.

Urban sprawl and urbanization as driving forces of land degradation have direct and indirect impacts on local climate dynamic. In this paper, the hypothesis that urban sprawl and unsustainable land use change cause local climate changes has been studied. Tehran as a megacity has been considered to show the urban sprawl and urbanization impacts on local climate. The methodology is divided into two main parts based on the primary datasets (satellite imagery and local climate data). The Landsat images and digital elevation model maps extracted from Shuttle Radar Topography Mission 1 Arc-Second Global data of Tehran acquired in every 5 years during June and July from 1975 to 2015 have been used for this study. The second dataset that has been used in this study contains daily mean temperature and precipitation (from 1990 to 2010) of eight meteorological synoptic stations in the study area. The results show that the rapid and unsustainable urban growth have significant effects on local climate. Moreover, it has been found that the urbanization and urban sprawl as well as unsustainable land use change caused significant change (P = 0.005) in evaporation rate in the study area (especially in east and center regions of the city with high population density).

イラ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。

Linkage disequilibrium (LD) across the genome provides information to identify the genes and variations related to quantitative traits in genome-wide association studies (GWAS) and for the implementation of genomic selection (GS). LD can also be used to evaluate genetic diversity and population structure and reveal genomic regions affected by selection. LD structure and Ne were assessed in a set of 83 water buffaloes, comprising Azeri (AZI), Khuzestani (KHU), and Mazandarani (MAZ) breeds from Iran, Kundi (KUN) and Nili-Ravi (NIL) from Pakistan, Anatolian (ANA) buffalo from Turkey, and buffalo from Egypt (EGY). The values of corrected r2 (defined as the correlation between two loci) of adjacent SNPs for three pooled Iranian breeds (IRI), ANA, EGY, and two pooled Pakistani breeds (PAK) populations were 0.24, 0.28, 0.27, and 0.22, respectively. The corrected r2 between SNPs decreased with increasing physical distance from 100 Kb to 1 Mb. The LD values for IRI, ANA, EGY, and PAK populations were 0.16, 0.23, 0.24, and 0.21 for less than 100Kb, respectively, which reduced rapidly to 0.018, 0.042, 0.059, and 0.024, for a distance of 1 Mb. In all the populations, the decay rate was low for distances greater than 2Mb, up to the longest studied distance (15 Mb). The r2 values for adjacent SNPs in unrelated samples indicated that the Affymetrix Axiom 90 K SNP genomic array was suitable for GWAS and GS in these populations. The persistency of LD phase (PLDP) between populations was assessed, and results showed that PLPD values between the populations were more than 0.9 for distances of less than 100 Kb. The Ne in the recent generations has declined to the extent that breeding plans are urgently required to ensure that these buffalo populations are not at risk of being lost. We found that results are affected by sample size, which could be partially corrected for; however, additional data should be obtained to be confident of the results.

This repository contains the data used in Mirzadeh et al., 2021. It includes two InSAR time-series datasets from Envisat and Sentinel-1 satellite in both ascending and descending orbits, acquired over Yazd-Ardakan Plain, Iran, as well as, the population density information and weather data for this study area.

Dataset 1: Envisat ascending track 99 and descending track 20

Date: 06 Sep 2004 - 12 Jul 2010 (17 ascending acquisitions) + 26 Mar 2003 - 23 Oct 2010 (23 descending acquisitions)

Processor: ISCE/stripmapStack + MintPy

Displacement time-series (in HDF-EOS5 format): timeseries_LODcor_ERA5_ramp_demErr.h5

Mean LOS Velocity (in HDF-EOS5 format): velocity.h5

Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5

Geometry (in HDF-EOS5 format): geometryRadar.h5

Dataset 2: Sentinel-1 ascending track 130 and descending track 64

Date: 14 Oct 2014 - 28 Mar 2020 (129 ascending acquisitions) + 10 Oct 2014 - 24 Mar 2020 (119 descending acquisitions)

Processor: ISCE/topsStack + MintPy

Displacement time-series (in HDF-EOS5 format): timeseries_ERA5_ramp_demErr.h5

Mean LOS Velocity (in HDF-EOS5 format): velocity.h5

Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5

Geometry (in HDF-EOS5 format): geometryRadar.h5

The time series and Mean LOS Velocity (MVL) products can be georeferenced and resampled using the makTempCoh and geometryRadar products, and the MintPy commands/functions.

Incidence density in general and by gender and age group at the time of study enrollment.