Ilo national vs modeled data, gaps filled in Afghanistan
Afghanistan: Ilo national vs modeled data, gaps filled was 5.68 in 2021. ◆ Volatile
Ilo national vs modeled data, gaps filled in Afghanistan, 2008–2021
Source: Statizoid (derived).
Analysis
Afghanistan recorded 5.68 for ilo national vs modeled data, gaps filled in 2021.
The figure is down 51.5% on the previous year and up 200.1% over ten years.
Over the whole period, ilo national vs modeled data, gaps filled in Afghanistan peaked at 11.71 in 2020 and was at its lowest, 1.69, in 2012.
Afghanistan ranks 85th of 185 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Ilo national vs modeled data, gaps filled in Afghanistan, year by year
| Year | Value | Change |
|---|---|---|
| 2008 | 2.49 | — |
| 2009 | 2.29 | -8.0% |
| 2010 | 2.09 | -8.7% |
| 2011 | 1.89 | -9.6% |
| 2012 | 1.69 | -10.6% |
| 2013 | 4.8 | +183.9% |
| 2014 | 7.92 | +64.8% |
| 2015 | 9 | +13.8% |
| 2016 | 10.09 | +12.1% |
| 2017 | 11.18 | +10.8% |
| 2018 | 11.36 | +1.6% |
| 2019 | 11.53 | +1.5% |
| 2020 | 11.71 | +1.5% |
| 2021 | 5.68 | -51.5% |
Afghanistan compared with similar countries
- Afghanistan's 5.68 is above the median for low income countries, which is 5.52, 1.0× the median. (14 countries reporting)
- Afghanistan's 5.68 is below the median for Middle East, North Africa, Afghanistan & Pakistan, which is 6.96, 82% of the median. (21 countries reporting)
Biggest year-on-year movements
Years where Ilo national vs modeled data, gaps filled in Afghanistan changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2013 | +183.9% | 1.69 | 4.8 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 2.39 | 2.29 | 2.49 | 2 |
| 2010s | 7.16 | 1.69 | 11.53 | 10 |
| 2020s | 8.69 | 5.68 | 11.71 | 2 |
Countries ranked near Afghanistan
More reference data data for Afghanistan
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.8991 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 4.89 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 6.63 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.4362 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 6.63 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 3.01 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.847 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 18.65 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 26.62 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 2.38 (2050)
Frequently asked questions
- What is ilo national vs modeled data, gaps filled in Afghanistan?
- Ilo national vs modeled data, gaps filled in Afghanistan was 5.68 in 2021, according to Statizoid (derived).
- What is the highest ilo national vs modeled data, gaps filled recorded in Afghanistan?
- The highest recorded value was 11.71 in 2020.
- What is the lowest ilo national vs modeled data, gaps filled recorded in Afghanistan?
- The lowest recorded value was 1.69 in 2012.
- How does Afghanistan rank for ilo national vs modeled data, gaps filled?
- Afghanistan ranks 85th out of 185 countries with data for 2021.
- Is ilo national vs modeled data, gaps filled rising or falling in Afghanistan?
- Over the last ten years it is up 200.1%. The long-run trend across the full record is volatile.
- Where does this Afghanistan data come from?
- The figures come from Statizoid (derived), published as part of Ilo national vs modeled data, gaps filled. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 14 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Ilo national vs modeled data with 551 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.
Computed from
- Ilo national vs modeled data Our World in Data
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
Ilo national vs modeled data with 551 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.