Ilo national vs modeled data, gaps filled in Myanmar
Myanmar: Ilo national vs modeled data, gaps filled was 1.48 in 2020. ◆ Volatile
Ilo national vs modeled data, gaps filled in Myanmar, 1985–2020
Source: Statizoid (derived).
Analysis
Myanmar recorded 1.48 for ilo national vs modeled data, gaps filled in 2020.
The figure is up 262.7% on the previous year and down 61.8% over ten years.
Over the whole period, ilo national vs modeled data, gaps filled in Myanmar peaked at 6 in 1990 and was at its lowest, 0.215, in 1988.
That places Myanmar 175th out of 185 countries with data for 2020, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Ilo national vs modeled data, gaps filled in Myanmar, year by year
| Year | Value | Change |
|---|---|---|
| 1985 | 2.81 | — |
| 1986 | 2.17 | -22.8% |
| 1987 | 1.19 | -45.0% |
| 1988 | 0.215 | -81.9% |
| 1989 | 3.11 | +1345.3% |
| 1990 | 6 | +93.1% |
| 2014 | 3.87 | -35.5% |
| 2015 | 0.766 | -80.2% |
| 2016 | 1.06 | +38.5% |
| 2017 | 1.36 | +27.8% |
| 2018 | 0.767 | -43.4% |
| 2019 | 0.407 | -46.9% |
| 2020 | 1.48 | +262.7% |
Myanmar compared with similar countries
- Myanmar's 1.48 is below the median for lower middle income countries, which is 5.03, 29% of the median. (42 countries reporting)
- Myanmar's 1.48 is below the median for East Asia & Pacific, which is 3.48, 42% of the median. (34 countries reporting)
Biggest year-on-year movements
Years where Ilo national vs modeled data, gaps filled in Myanmar 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 |
|---|---|---|---|
| 1989 | +1345.3% | 0.215 | 3.11 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 1.9 | 0.215 | 3.11 | 5 |
| 1990s | 6 | 6 | 6 | 1 |
| 2010s | 1.37 | 0.407 | 3.87 | 6 |
| 2020s | 1.48 | 1.48 | 1.48 | 1 |
Countries ranked near Myanmar
More reference data data for Myanmar
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 3.28 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 4.58 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 11.17 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 2.53 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 11.17 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 11.01 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 19.7 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 25.14 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 73.24 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 13.8 (2050)
Frequently asked questions
- What is ilo national vs modeled data, gaps filled in Myanmar?
- Ilo national vs modeled data, gaps filled in Myanmar was 1.48 in 2020, according to Statizoid (derived).
- What is the highest ilo national vs modeled data, gaps filled recorded in Myanmar?
- The highest recorded value was 6 in 1990.
- What is the lowest ilo national vs modeled data, gaps filled recorded in Myanmar?
- The lowest recorded value was 0.215 in 1988.
- How does Myanmar rank for ilo national vs modeled data, gaps filled?
- Myanmar ranks 175th out of 185 countries with data for 2020.
- Is ilo national vs modeled data, gaps filled rising or falling in Myanmar?
- Over the last ten years it is down 61.8%. The long-run trend across the full record is volatile.
- Where does this Myanmar 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 — 13 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.