Population ages 30-34, female, annual growth rate in Bhutan
Bhutan: Population ages 30-34, female, annual growth rate was -1.64 % change on previous year in 2025. ◆ Volatile
Latest (2025)
-1.64 % change on previous year
Change on year
down 138.3%
World rank
162nd
of 218 countries
All-time high
4.39 % change on previous year
in 2019
All-time low
-3.89 % change on previous year
in 1993
Years of data
65
1961–2025
Population ages 30-34, female, annual growth rate in Bhutan, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
The most recent figure for population ages 30-34, female, annual growth rate in Bhutan is -1.64 % change on previous year, measured in 2025.
Compared with earlier readings it is down 138.3% on the previous year and down 170.7% over ten years.
Over the whole period, population ages 30-34, female, annual growth rate in Bhutan peaked at 4.39 % change on previous year in 2019 and was at its lowest, -3.89 % change on previous year, in 1993.
That places Bhutan 162nd out of 218 countries with data for 2025, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Population ages 30-34, female, annual growth rate in Bhutan, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 3.2 % change on previous year | — |
| 1962 | 3.33 % change on previous year | +4.1% |
| 1963 | 3.4 % change on previous year | +2.3% |
| 1964 | 3.33 % change on previous year | -2.2% |
| 1965 | 3.28 % change on previous year | -1.4% |
| 1966 | 3.27 % change on previous year | -0.3% |
| 1967 | 3.31 % change on previous year | +1.0% |
| 1968 | 3.3 % change on previous year | -0.2% |
| 1969 | 3.23 % change on previous year | -2.2% |
| 1970 | 3.15 % change on previous year | -2.5% |
| 1971 | 3.08 % change on previous year | -2.1% |
| 1972 | 3.07 % change on previous year | -0.5% |
| 1973 | 3.13 % change on previous year | +2.0% |
| 1974 | 3.32 % change on previous year | +6.1% |
| 1975 | 3.55 % change on previous year | +7.0% |
| 1976 | 3.67 % change on previous year | +3.4% |
| 1977 | 3.64 % change on previous year | -0.8% |
| 1978 | 2.9 % change on previous year | -20.2% |
| 1979 | 2.46 % change on previous year | -15.1% |
| 1980 | 2.34 % change on previous year | -4.9% |
| 1981 | 1.94 % change on previous year | -17.2% |
| 1982 | 1.79 % change on previous year | -7.9% |
| 1983 | 2.26 % change on previous year | +26.2% |
| 1984 | 2.48 % change on previous year | +9.9% |
| 1985 | 2.33 % change on previous year | -6.0% |
| 1986 | 2.52 % change on previous year | +8.3% |
| 1987 | 2.53 % change on previous year | +0.4% |
| 1988 | 2.54 % change on previous year | +0.3% |
| 1989 | 2.53 % change on previous year | -0.5% |
| 1990 | 2.35 % change on previous year | -7.0% |
| 1991 | 1.49 % change on previous year | -36.6% |
| 1992 | -3.79 % change on previous year | -354.3% |
| 1993 | -3.89 % change on previous year | +2.8% |
| 1994 | 0.3701 % change on previous year | -109.5% |
| 1995 | -0.4937 % change on previous year | -233.4% |
| 1996 | 1.12 % change on previous year | -326.4% |
| 1997 | 3.06 % change on previous year | +173.9% |
| 1998 | 3.43 % change on previous year | +12.2% |
| 1999 | 3.25 % change on previous year | -5.4% |
| 2000 | 2.73 % change on previous year | -16.2% |
| 2001 | 2.54 % change on previous year | -6.9% |
| 2002 | 2.43 % change on previous year | -4.2% |
| 2003 | 2.37 % change on previous year | -2.4% |
| 2004 | 2.39 % change on previous year | +0.5% |
| 2005 | 2.63 % change on previous year | +10.2% |
| 2006 | 3.04 % change on previous year | +15.7% |
| 2007 | 3.37 % change on previous year | +10.8% |
| 2008 | 3.72 % change on previous year | +10.3% |
| 2009 | 4.12 % change on previous year | +10.8% |
| 2010 | 4.29 % change on previous year | +4.0% |
| 2011 | 4.09 % change on previous year | -4.7% |
| 2012 | 3.62 % change on previous year | -11.4% |
| 2013 | 2.99 % change on previous year | -17.4% |
| 2014 | 2.47 % change on previous year | -17.5% |
| 2015 | 2.32 % change on previous year | -5.9% |
| 2016 | 2.53 % change on previous year | +9.0% |
| 2017 | 3.42 % change on previous year | +35.2% |
| 2018 | 4.33 % change on previous year | +26.5% |
| 2019 | 4.39 % change on previous year | +1.3% |
| 2020 | 3.85 % change on previous year | -12.3% |
| 2021 | 2.96 % change on previous year | -23.2% |
| 2022 | 1.86 % change on previous year | -37.0% |
| 2023 | 0.6307 % change on previous year | -66.1% |
| 2024 | -0.6899 % change on previous year | -209.4% |
| 2025 | -1.64 % change on previous year | +138.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 3.29 % change on previous year | 3.2 % change on previous year | 3.4 % change on previous year | 9 |
| 1970s | 3.2 % change on previous year | 2.46 % change on previous year | 3.67 % change on previous year | 10 |
| 1980s | 2.33 % change on previous year | 1.79 % change on previous year | 2.54 % change on previous year | 10 |
| 1990s | 0.6899 % change on previous year | -3.89 % change on previous year | 3.43 % change on previous year | 10 |
| 2000s | 2.93 % change on previous year | 2.37 % change on previous year | 4.12 % change on previous year | 10 |
| 2010s | 3.45 % change on previous year | 2.32 % change on previous year | 4.39 % change on previous year | 10 |
| 2020s | 1.16 % change on previous year | -1.64 % change on previous year | 3.85 % change on previous year | 6 |
Countries ranked near Bhutan
- 159 Bermuda -1.56 % change on previous year compare
- 160 Aruba -1.61 % change on previous year compare
- 161 United States of America -1.63 % change on previous year compare
- 163 Tuvalu -1.64 % change on previous year compare
- 164 France -1.72 % change on previous year compare
- 165 Isle of Man -1.72 % change on previous year compare
More health data for Bhutan
- Un projection of annual infant deaths, annual growth rate -10 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.0915 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,531 deaths per 1,000 people (2090)
- Number of infants who die before age 1 9 deaths (2100)
- Population ages 30-34, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 30-34, female, per capita 0.0446 units per person (2025)
- Population ages 30-34, male, annual growth rate -1.39 % change on previous year (2025)
- Population ages 30-34, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 30-34, male, per capita 0.0572 units per person (2025)
- Population ages 35-39, female, annual growth rate 3.55 % change on previous year (2025)
Frequently asked questions
- What is population ages 30-34, female, annual growth rate in Bhutan?
- Population ages 30-34, female, annual growth rate in Bhutan was -1.64 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 30-34, female, annual growth rate recorded in Bhutan?
- The highest recorded value was 4.39 % change on previous year in 2019.
- What is the lowest population ages 30-34, female, annual growth rate recorded in Bhutan?
- The lowest recorded value was -3.89 % change on previous year in 1993.
- How does Bhutan rank for population ages 30-34, female, annual growth rate?
- Bhutan ranks 162nd out of 218 countries with data for 2025.
- Is population ages 30-34, female, annual growth rate rising or falling in Bhutan?
- Over the last ten years it is down 170.7%. The long-run trend across the full record is volatile.
- Where does this Bhutan data come from?
- The figures come from Statizoid (derived), published as part of Population ages 30-34, female, annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 65 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 Population ages 30-34, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 30-34, female World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects
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 Population ages 30-34, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.