The Gross Domestic Product per capita in Iran was last recorded at 5667.53 US dollars in 2023. The GDP per Capita in Iran is equivalent to 45 percent of the world's average. This dataset provides - Iran GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Iran recorded a Government Budget deficit equal to 5.50 percent of the country's Gross Domestic Product in 2023. This dataset provides - Iran Government Budget - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Iran recorded a Government Debt to GDP of 36.80 percent of the country's Gross Domestic Product in 2024. This dataset provides - Iran Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Iran recorded a Current Account surplus of 2.90 percent of the country's Gross Domestic Product in 2024. This dataset provides - Iran Current Account to GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

We provide county and state-level flood exposure data, precipitation data, and individual flood maps for each SAR frames to understand flood exposure from the 2019 Flood of Iran at the country level utilizing 673 Sentinel-1 Synthetic Aperture Radar intensity images spanning January to February. A complete description of the method used to obtain probabilistic flood maps and exposure can be found in Sherpa and Shirzaei (2020) but is briefly stated below.

We applied a Bayesian framework to SAR intensity images to calculate the probability of a SAR pixel being flooded (Giustarini et al., 2016; Sherpa et al., 2020), for which a likelihood probability density function was estimated, thereby providing a continuous value between 0 and 1 as a probabilistic flood map. To obtain an estimate of likelihood, an image segmentation scheme using the fast marching algorithm (FMA) is implemented (Sethian, 1999). The percent area exposed to flooding is estimated as the pixel area's multiplication with its flooding probability for pixels located within each county or state divided by the county or state area. The population exposure is calculated by multiplying each county or state's percent area exposure values with their population, assuming a uniform population distribution.

Anyone wishing to use this dataset should cite Sherpa and Shrizaei (2022) and this dataset. Please also contact and contact Sonam Futi Sherpa at sfsherpa@vt.edu for any questions with details of their work, so that we may offer guidance in regard to the best usage of our produced dataset.

Sherpa, S. F., & Shirzaei, M. (2021). Country‐wide flood exposure analysis using Sentinel‐1 synthetic aperture radar data: Case study of 2019 Iran flood. Journal of Flood Risk Management, 15(1), e12770. https://doi.org/10.1111/jfr3.12770

Additional references:

Sherpa, S. F., Shirzaei, M., Ojha, C., Werth, S., & Hostache, R. (2020). Probabilistic mapping of august 2018 flood of Kerala, India, using space-borne synthetic aperture radar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 896-913. 10.1109/JSTARS.2020.2970337 Giustarini, Laura, Renaud Hostache, Dmitri Kavetski, Marco Chini, Giovanni Corato, Stefan Schlaffer, and Patrick Matgen. "Probabilistic flood mapping using synthetic aperture radar data." IEEE Transactions on Geoscience and Remote Sensing 54, no. 12 (2016): 6958-6969. Sethian, J. A. (1999). Level set methods and fast marching methods: evolving interfaces in computational geometry, fluid mechanics, computer vision, and materials science (Vol. 3). Cambridge university press.

IR: Employment To Population Ratio: National Estimate: Aged 15-24 data was reported at 19.900 % in 2017. This records an increase from the previous number of 18.860 % for 2016. IR: Employment To Population Ratio: National Estimate: Aged 15-24 data is updated yearly, averaging 19.380 % from Dec 2009 (Median) to 2017, with 6 observations. The data reached an all-time high of 22.300 % in 2009 and a record low of 18.440 % in 2014. IR: Employment To Population Ratio: National Estimate: Aged 15-24 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: Employment and Unemployment. Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.; ; International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.