Population ages 15-64, male, per unit of GDP in South Sudan
South Sudan: Population ages 15-64, male, per unit of GDP was 0.0002 units per US$ of GDP in 2015. ▲ Rising
Population ages 15-64, male, per unit of GDP in South Sudan, 2008–2015
Source: Statizoid (derived). Measured in units per US$ of GDP.
Analysis
The most recent figure for population ages 15-64, male, per unit of gdp in South Sudan is 0.0002 units per US$ of GDP, measured in 2015. That is the highest value across all 8 years on record.
The figure is up 13.5% on the previous year and up 56.1% over ten years.
That places South Sudan 21st out of 212 countries with data for 2015, putting it in the top 10%.
Population ages 15-64, male, per unit of GDP in South Sudan, year by year
| Year | units per US$ of GDP | Change |
|---|---|---|
| 2008 | 0.0002 units per US$ of GDP | — |
| 2009 | 0.0002 units per US$ of GDP | +26.2% |
| 2010 | 0.0002 units per US$ of GDP | -10.5% |
| 2011 | 0.0002 units per US$ of GDP | +4.8% |
| 2012 | 0.0002 units per US$ of GDP | +31.4% |
| 2013 | 0.0002 units per US$ of GDP | -32.6% |
| 2014 | 0.0002 units per US$ of GDP | +31.2% |
| 2015 | 0.0002 units per US$ of GDP | +13.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.0002 units per US$ of GDP | 0.0002 units per US$ of GDP | 0.0002 units per US$ of GDP | 2 |
| 2010s | 0.0002 units per US$ of GDP | 0.0002 units per US$ of GDP | 0.0002 units per US$ of GDP | 6 |
Countries ranked near South Sudan
More health data for South Sudan
- Un projection of annual infant deaths, annual growth rate -1.47 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.665 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,347 deaths per 1,000 people (2090)
- Number of infants who die before age 1 12,029 deaths (2100)
- Deaths in armed conflicts by region 123 deaths (2026)
- Deaths in armed conflicts based on where they occurred 123 deaths (2026)
- Population ages 50-54, female, per unit of GDP 0 units per US$ of GDP (2015)
- Population ages 40-44, male, per capita 0.0242 units per person (2025)
- Population ages 45-49, female, annual growth rate 2.16 % change on previous year (2025)
- Population ages 45-49, female, per unit of GDP 0 units per US$ of GDP (2015)
Frequently asked questions
- What is population ages 15-64, male, per unit of gdp in South Sudan?
- Population ages 15-64, male, per unit of gdp in South Sudan was 0.0002 units per US$ of GDP in 2015, according to Statizoid (derived).
- What is the highest population ages 15-64, male, per unit of gdp recorded in South Sudan?
- The highest recorded value was 0.0002 units per US$ of GDP in 2015.
- What is the lowest population ages 15-64, male, per unit of gdp recorded in South Sudan?
- The lowest recorded value was 0.0002 units per US$ of GDP in 2008.
- How does South Sudan rank for population ages 15-64, male, per unit of gdp?
- South Sudan ranks 21st out of 212 countries with data for 2015.
- Is population ages 15-64, male, per unit of gdp rising or falling in South Sudan?
- Over the last ten years it is up 56.1%. The long-run trend across the full record is rising.
- Where does this South Sudan data come from?
- The figures come from Statizoid (derived), published as part of Population ages 15-64, male, per unit of GDP. Statizoid updates them automatically from the source API.
Download this data
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How this figure is calculated
Population ages 15-64, male divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Population ages 15-64, male ÷ GDP (current US$)
Computed from
- Population ages 15-64, male World Population Prospects, United Nations (UN), publisher: UN Population Division
- GDP Country official statistics, National Statistical Organizations and/or Central Banks
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Population ages 15-64, male divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.