Precipitation anomalies, annual growth rate in Bangladesh
Bangladesh: Precipitation anomalies, annual growth rate was 98.64 % change on previous year in 2024. ◆ Volatile
Precipitation anomalies, annual growth rate in Bangladesh, 1941–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Bangladesh recorded 98.64 % change on previous year for precipitation anomalies, annual growth rate in 2024.
That represents a change of up 136.4% on the previous year and up 201.8% over ten years.
Over the whole period, precipitation anomalies, annual growth rate in Bangladesh peaked at 591.11 % change on previous year in 2002 and was at its lowest, -573.3 % change on previous year, in 1943.
That places Bangladesh 37th out of 192 countries with data for 2024, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Precipitation anomalies, annual growth rate in Bangladesh, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1941 | 125.6 % change on previous year | — |
| 1942 | -186.65 % change on previous year | -248.6% |
| 1943 | -573.3 % change on previous year | +207.2% |
| 1944 | 7.22 % change on previous year | -101.3% |
| 1945 | 41.33 % change on previous year | +472.7% |
| 1946 | 24.64 % change on previous year | -40.4% |
| 1947 | 4.98 % change on previous year | -79.8% |
| 1948 | 192.3 % change on previous year | +3758.2% |
| 1949 | 279.42 % change on previous year | +45.3% |
| 1950 | -48.2 % change on previous year | -117.2% |
| 1951 | -1.11 % change on previous year | -97.7% |
| 1952 | -56.65 % change on previous year | +5019.0% |
| 1953 | 297.73 % change on previous year | -625.6% |
| 1954 | -105.4 % change on previous year | -135.4% |
| 1955 | -346.45 % change on previous year | +228.7% |
| 1956 | 181.82 % change on previous year | -152.5% |
| 1957 | -488.21 % change on previous year | -368.5% |
| 1958 | 124.44 % change on previous year | -125.5% |
| 1959 | 226.77 % change on previous year | +82.2% |
| 1960 | -98.84 % change on previous year | -143.6% |
| 1962 | 9.12 % change on previous year | -109.2% |
| 1963 | 256.44 % change on previous year | +2711.8% |
| 1964 | -43.33 % change on previous year | -116.9% |
| 1965 | 122.66 % change on previous year | -383.1% |
| 1966 | -84.11 % change on previous year | -168.6% |
| 1967 | 59.29 % change on previous year | -170.5% |
| 1968 | 116.52 % change on previous year | +96.5% |
| 1969 | -168.82 % change on previous year | -244.9% |
| 1970 | 171.07 % change on previous year | -201.3% |
| 1971 | 302.65 % change on previous year | +76.9% |
| 1972 | -183.43 % change on previous year | -160.6% |
| 1973 | 203.85 % change on previous year | -211.1% |
| 1974 | -13.52 % change on previous year | -106.6% |
| 1975 | -133.9 % change on previous year | +890.4% |
| 1976 | 80.48 % change on previous year | -160.1% |
| 1977 | -467.06 % change on previous year | -680.3% |
| 1978 | -152.47 % change on previous year | -67.4% |
| 1979 | -4.64 % change on previous year | -97.0% |
| 1980 | 26.49 % change on previous year | -671.4% |
| 1981 | -30.79 % change on previous year | -216.2% |
| 1982 | -78.08 % change on previous year | +153.6% |
| 1983 | 165.55 % change on previous year | -312.0% |
| 1984 | -100 % change on previous year | -160.4% |
| 1986 | 101.89 % change on previous year | -201.9% |
| 1988 | 165.68 % change on previous year | +62.6% |
| 1989 | -175.49 % change on previous year | -205.9% |
| 1990 | 293.62 % change on previous year | -267.3% |
| 1991 | 21.88 % change on previous year | -92.5% |
| 1992 | -209.62 % change on previous year | -1058.2% |
| 1993 | 273.31 % change on previous year | -230.4% |
| 1994 | -134.85 % change on previous year | -149.3% |
| 1995 | 143.82 % change on previous year | -206.7% |
| 1996 | -15.65 % change on previous year | -110.9% |
| 1997 | -40.22 % change on previous year | +157.0% |
| 1998 | 380.68 % change on previous year | -1046.5% |
| 1999 | -139.46 % change on previous year | -136.6% |
| 2000 | 232 % change on previous year | -266.4% |
| 2001 | -69.5 % change on previous year | -130.0% |
| 2002 | 591.11 % change on previous year | -950.6% |
| 2003 | -137.92 % change on previous year | -123.3% |
| 2004 | 428.17 % change on previous year | -410.5% |
| 2005 | -133.06 % change on previous year | -131.1% |
| 2006 | -225.95 % change on previous year | +69.8% |
| 2007 | 227.1 % change on previous year | -200.5% |
| 2008 | -111.43 % change on previous year | -149.1% |
| 2009 | -281.03 % change on previous year | +152.2% |
| 2010 | 76.07 % change on previous year | -127.1% |
| 2011 | 68.45 % change on previous year | -10.0% |
| 2013 | 13.82 % change on previous year | -79.8% |
| 2014 | -96.93 % change on previous year | -801.4% |
| 2015 | 140 % change on previous year | -244.4% |
| 2016 | -96.64 % change on previous year | -169.0% |
| 2018 | -192.7 % change on previous year | +99.4% |
| 2019 | 30.25 % change on previous year | -115.7% |
| 2020 | 83.13 % change on previous year | +174.8% |
| 2021 | -515.67 % change on previous year | -720.3% |
| 2022 | -99.82 % change on previous year | -80.6% |
| 2023 | 41.73 % change on previous year | -141.8% |
| 2024 | 98.64 % change on previous year | +136.4% |
Bangladesh compared with similar countries
- Bangladesh's 98.64 % change on previous year is above the median for lower middle income countries, which is -5.4 % change on previous year. (47 countries reporting)
- Bangladesh's 98.64 % change on previous year is above the median for South Asia, which is 11.26 % change on previous year, 8.8× the median. (5 countries reporting)
Biggest year-on-year movements
Years where Precipitation anomalies, annual growth rate in Bangladesh 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 |
|---|---|---|---|
| 1952 | -5019.0% | -1.11 % change on previous year | -56.65 % change on previous year |
| 1948 | +3758.2% | 4.98 % change on previous year | 192.3 % change on previous year |
| 1963 | +2711.8% | 9.12 % change on previous year | 256.44 % change on previous year |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1940s | -9.38 % change on previous year | -573.3 % change on previous year | 279.42 % change on previous year | 9 |
| 1950s | -21.52 % change on previous year | -488.21 % change on previous year | 297.73 % change on previous year | 10 |
| 1960s | 18.77 % change on previous year | -168.82 % change on previous year | 256.44 % change on previous year | 9 |
| 1970s | -19.7 % change on previous year | -467.06 % change on previous year | 302.65 % change on previous year | 10 |
| 1980s | 9.41 % change on previous year | -175.49 % change on previous year | 165.68 % change on previous year | 8 |
| 1990s | 57.35 % change on previous year | -209.62 % change on previous year | 380.68 % change on previous year | 10 |
| 2000s | 51.95 % change on previous year | -281.03 % change on previous year | 591.11 % change on previous year | 10 |
| 2010s | -7.21 % change on previous year | -192.7 % change on previous year | 140 % change on previous year | 8 |
| 2020s | -78.4 % change on previous year | -515.67 % change on previous year | 98.64 % change on previous year | 5 |
Countries ranked near Bangladesh
- 34 Zambia 111.68 % change on previous year compare
- 35 Guinea 102.53 % change on previous year compare
- 36 Vietnam 100.26 % change on previous year compare
- 38 Bolivia 97.47 % change on previous year compare
- 39 Morocco 97.47 % change on previous year compare
- 40 Moldova 93.08 % change on previous year compare
More climate change data for Bangladesh
- Nutrient nitrogen N (total) — Synthetic fertilizers (Agricultural) 2.05 billion kg (2050)
- Emissions from livestock — Emissions (CO2eq) 53,978 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O 11,421 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 42,556 kt (2050)
- Emissions from livestock — Emissions 43.1 kt (2050)
- Emissions from livestock — Emissions 1,520 kt (2050)
- Emissions from crops — Emissions (CO2eq) 45,925 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O 15,205 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 30,719 kt (2050)
- Emissions from crops — Emissions 57.38 kt (2050)
Frequently asked questions
- What is precipitation anomalies, annual growth rate in Bangladesh?
- Precipitation anomalies, annual growth rate in Bangladesh was 98.64 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest precipitation anomalies, annual growth rate recorded in Bangladesh?
- The highest recorded value was 591.11 % change on previous year in 2002.
- What is the lowest precipitation anomalies, annual growth rate recorded in Bangladesh?
- The lowest recorded value was -573.3 % change on previous year in 1943.
- How does Bangladesh rank for precipitation anomalies, annual growth rate?
- Bangladesh ranks 37th out of 192 countries with data for 2024.
- Is precipitation anomalies, annual growth rate rising or falling in Bangladesh?
- Over the last ten years it is up 201.8%. The long-run trend across the full record is volatile.
- Where does this Bangladesh data come from?
- The figures come from Statizoid (derived), published as part of Precipitation anomalies, annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 79 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in Precipitation anomalies. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Precipitation anomalies Contains modified Copernicus Climate Change Service information (2026) – with major processing by 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
The year-on-year percentage change in Precipitation anomalies. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.