Population ages 55-59, female, per square kilometre in Bhutan
Bhutan: Population ages 55-59, female, per square kilometre was 0.3707 units per square kilometre in 2023. ◆ Volatile
Population ages 55-59, female, per square kilometre in Bhutan, 1961–2023
Source: Statizoid (derived). Measured in units per square kilometre.
Analysis
Bhutan recorded 0.3707 units per square kilometre for population ages 55-59, female, per square kilometre in 2023. That is the highest value across all 63 years on record.
Compared with earlier readings it is up 4.3% on the previous year and up 28.1% over ten years.
Over the whole period, population ages 55-59, female, per square kilometre in Bhutan peaked at 0.3707 units per square kilometre in 2023 and was at its lowest, 0.0555 units per square kilometre, in 1961.
Bhutan ranks 185th of 216 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Population ages 55-59, female, per square kilometre in Bhutan, year by year
| Year | units per square kilometre | Change |
|---|---|---|
| 1961 | 0.0555 units per square kilometre | — |
| 1962 | 0.057 units per square kilometre | +2.8% |
| 1963 | 0.0587 units per square kilometre | +2.9% |
| 1964 | 0.0604 units per square kilometre | +3.0% |
| 1965 | 0.0623 units per square kilometre | +3.0% |
| 1966 | 0.0642 units per square kilometre | +3.1% |
| 1967 | 0.0662 units per square kilometre | +3.2% |
| 1968 | 0.0684 units per square kilometre | +3.2% |
| 1969 | 0.0706 units per square kilometre | +3.3% |
| 1970 | 0.073 units per square kilometre | +3.4% |
| 1971 | 0.0755 units per square kilometre | +3.4% |
| 1972 | 0.0782 units per square kilometre | +3.5% |
| 1973 | 0.081 units per square kilometre | +3.6% |
| 1974 | 0.0839 units per square kilometre | +3.6% |
| 1975 | 0.087 units per square kilometre | +3.7% |
| 1976 | 0.0902 units per square kilometre | +3.8% |
| 1977 | 0.0936 units per square kilometre | +3.7% |
| 1978 | 0.0972 units per square kilometre | +3.9% |
| 1979 | 0.1011 units per square kilometre | +3.9% |
| 1980 | 0.105 units per square kilometre | +3.9% |
| 1981 | 0.1092 units per square kilometre | +3.9% |
| 1982 | 0.1135 units per square kilometre | +3.9% |
| 1983 | 0.1179 units per square kilometre | +3.9% |
| 1984 | 0.1225 units per square kilometre | +3.9% |
| 1985 | 0.1273 units per square kilometre | +3.9% |
| 1986 | 0.1322 units per square kilometre | +3.9% |
| 1987 | 0.1372 units per square kilometre | +3.8% |
| 1988 | 0.1424 units per square kilometre | +3.8% |
| 1989 | 0.1476 units per square kilometre | +3.7% |
| 1990 | 0.1527 units per square kilometre | +3.5% |
| 1991 | 0.1566 units per square kilometre | +2.6% |
| 1992 | 0.1522 units per square kilometre | -2.8% |
| 1993 | 0.1474 units per square kilometre | -3.1% |
| 1994 | 0.1744 units per square kilometre | +18.3% |
| 1995 | 0.1736 units per square kilometre | -0.4% |
| 1996 | 0.1753 units per square kilometre | +1.0% |
| 1997 | 0.1801 units per square kilometre | +2.7% |
| 1998 | 0.1856 units per square kilometre | +3.0% |
| 1999 | 0.1911 units per square kilometre | +3.0% |
| 2000 | 0.1957 units per square kilometre | +2.4% |
| 2001 | 0.1992 units per square kilometre | +1.8% |
| 2002 | 0.2016 units per square kilometre | +1.2% |
| 2003 | 0.2025 units per square kilometre | +0.5% |
| 2004 | 0.212 units per square kilometre | +4.7% |
| 2005 | 0.2144 units per square kilometre | +1.1% |
| 2006 | 0.22 units per square kilometre | +2.6% |
| 2007 | 0.2276 units per square kilometre | +3.5% |
| 2008 | 0.2363 units per square kilometre | +3.8% |
| 2009 | 0.2462 units per square kilometre | +4.2% |
| 2010 | 0.2573 units per square kilometre | +4.5% |
| 2011 | 0.2688 units per square kilometre | +4.5% |
| 2012 | 0.2798 units per square kilometre | +4.1% |
| 2013 | 0.2893 units per square kilometre | +3.4% |
| 2014 | 0.2965 units per square kilometre | +2.5% |
| 2015 | 0.3016 units per square kilometre | +1.7% |
| 2016 | 0.305 units per square kilometre | +1.1% |
| 2017 | 0.3089 units per square kilometre | +1.3% |
| 2018 | 0.3142 units per square kilometre | +1.7% |
| 2019 | 0.3211 units per square kilometre | +2.2% |
| 2020 | 0.3301 units per square kilometre | +2.8% |
| 2021 | 0.3416 units per square kilometre | +3.5% |
| 2022 | 0.3554 units per square kilometre | +4.0% |
| 2023 | 0.3707 units per square kilometre | +4.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.0626 units per square kilometre | 0.0555 units per square kilometre | 0.0706 units per square kilometre | 9 |
| 1970s | 0.0861 units per square kilometre | 0.073 units per square kilometre | 0.1011 units per square kilometre | 10 |
| 1980s | 0.1255 units per square kilometre | 0.105 units per square kilometre | 0.1476 units per square kilometre | 10 |
| 1990s | 0.1689 units per square kilometre | 0.1474 units per square kilometre | 0.1911 units per square kilometre | 10 |
| 2000s | 0.2156 units per square kilometre | 0.1957 units per square kilometre | 0.2462 units per square kilometre | 10 |
| 2010s | 0.2943 units per square kilometre | 0.2573 units per square kilometre | 0.3211 units per square kilometre | 10 |
| 2020s | 0.3494 units per square kilometre | 0.3301 units per square kilometre | 0.3707 units per square kilometre | 4 |
Countries ranked near Bhutan
- 182 Argentina 0.4028 units per square kilometre compare
- 183 Solomon Islands 0.3904 units per square kilometre compare
- 184 Vanuatu 0.3785 units per square kilometre compare
- 186 Angola 0.363 units per square kilometre compare
- 187 Paraguay 0.3623 units per square kilometre compare
- 188 Papua New Guinea 0.3594 units per square kilometre 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)
- Neonatal tetanus - number of reported cases, gaps filled 0 (2025)
- Population ages 00-04, female, annual growth rate 0.2986 % change on previous year (2025)
- Population ages 00-04, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 00-04, female, per capita 0.0299 units per person (2025)
- Population ages 00-04, male, annual growth rate 0.3987 % change on previous year (2025)
- Population ages 00-04, male, per unit of GDP 0 units per US$ of GDP (2025)
Frequently asked questions
- What is population ages 55-59, female, per square kilometre in Bhutan?
- Population ages 55-59, female, per square kilometre in Bhutan was 0.3707 units per square kilometre in 2023, according to Statizoid (derived).
- What is the highest population ages 55-59, female, per square kilometre recorded in Bhutan?
- The highest recorded value was 0.3707 units per square kilometre in 2023.
- What is the lowest population ages 55-59, female, per square kilometre recorded in Bhutan?
- The lowest recorded value was 0.0555 units per square kilometre in 1961.
- How does Bhutan rank for population ages 55-59, female, per square kilometre?
- Bhutan ranks 185th out of 216 countries with data for 2023.
- Is population ages 55-59, female, per square kilometre rising or falling in Bhutan?
- Over the last ten years it is up 28.1%. 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 55-59, female, per square kilometre. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 63 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Population ages 55-59, female divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Population ages 55-59, female ÷ Land area (sq. km)
Computed from
- Population ages 55-59, 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
- Land area FAOSTAT, Food and Agriculture Organization of the United Nations (FAO)
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 55-59, female divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.