Population ages 55-59, male, per square kilometre in Bhutan
Bhutan: Population ages 55-59, male, per square kilometre was 0.4261 units per square kilometre in 2023. ◆ Volatile
Population ages 55-59, male, per square kilometre in Bhutan, 1961–2023
Source: Statizoid (derived). Measured in units per square kilometre.
Analysis
In 2023, population ages 55-59, male, per square kilometre in Bhutan stood at 0.4261 units per square kilometre. That is the highest value across all 63 years on record.
That represents a change of up 4.7% on the previous year and up 30.5% over ten years.
Over the whole period, population ages 55-59, male, per square kilometre in Bhutan peaked at 0.4261 units per square kilometre in 2023 and was at its lowest, 0.0573 units per square kilometre, in 1961.
Bhutan ranks 179th 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, male, per square kilometre in Bhutan, year by year
| Year | units per square kilometre | Change |
|---|---|---|
| 1961 | 0.0573 units per square kilometre | — |
| 1962 | 0.0592 units per square kilometre | +3.3% |
| 1963 | 0.0612 units per square kilometre | +3.4% |
| 1964 | 0.0633 units per square kilometre | +3.4% |
| 1965 | 0.0655 units per square kilometre | +3.5% |
| 1966 | 0.0679 units per square kilometre | +3.7% |
| 1967 | 0.0704 units per square kilometre | +3.8% |
| 1968 | 0.0731 units per square kilometre | +3.8% |
| 1969 | 0.0761 units per square kilometre | +4.0% |
| 1970 | 0.0792 units per square kilometre | +4.1% |
| 1971 | 0.0826 units per square kilometre | +4.3% |
| 1972 | 0.0861 units per square kilometre | +4.3% |
| 1973 | 0.09 units per square kilometre | +4.4% |
| 1974 | 0.094 units per square kilometre | +4.5% |
| 1975 | 0.0983 units per square kilometre | +4.5% |
| 1976 | 0.1028 units per square kilometre | +4.6% |
| 1977 | 0.1075 units per square kilometre | +4.6% |
| 1978 | 0.1126 units per square kilometre | +4.7% |
| 1979 | 0.1179 units per square kilometre | +4.7% |
| 1980 | 0.1235 units per square kilometre | +4.7% |
| 1981 | 0.1293 units per square kilometre | +4.7% |
| 1982 | 0.1353 units per square kilometre | +4.7% |
| 1983 | 0.1416 units per square kilometre | +4.7% |
| 1984 | 0.148 units per square kilometre | +4.6% |
| 1985 | 0.1547 units per square kilometre | +4.5% |
| 1986 | 0.1616 units per square kilometre | +4.4% |
| 1987 | 0.1686 units per square kilometre | +4.3% |
| 1988 | 0.1757 units per square kilometre | +4.2% |
| 1989 | 0.1828 units per square kilometre | +4.0% |
| 1990 | 0.1896 units per square kilometre | +3.7% |
| 1991 | 0.1947 units per square kilometre | +2.7% |
| 1992 | 0.1892 units per square kilometre | -2.8% |
| 1993 | 0.1833 units per square kilometre | -3.1% |
| 1994 | 0.2168 units per square kilometre | +18.2% |
| 1995 | 0.2157 units per square kilometre | -0.5% |
| 1996 | 0.2175 units per square kilometre | +0.8% |
| 1997 | 0.2231 units per square kilometre | +2.6% |
| 1998 | 0.2293 units per square kilometre | +2.8% |
| 1999 | 0.2346 units per square kilometre | +2.3% |
| 2000 | 0.2377 units per square kilometre | +1.3% |
| 2001 | 0.2395 units per square kilometre | +0.7% |
| 2002 | 0.2399 units per square kilometre | +0.2% |
| 2003 | 0.2391 units per square kilometre | -0.4% |
| 2004 | 0.2486 units per square kilometre | +4.0% |
| 2005 | 0.2507 units per square kilometre | +0.8% |
| 2006 | 0.2573 units per square kilometre | +2.6% |
| 2007 | 0.2666 units per square kilometre | +3.6% |
| 2008 | 0.2769 units per square kilometre | +3.8% |
| 2009 | 0.2876 units per square kilometre | +3.9% |
| 2010 | 0.2987 units per square kilometre | +3.8% |
| 2011 | 0.3093 units per square kilometre | +3.5% |
| 2012 | 0.3186 units per square kilometre | +3.0% |
| 2013 | 0.3264 units per square kilometre | +2.5% |
| 2014 | 0.3325 units per square kilometre | +1.9% |
| 2015 | 0.3365 units per square kilometre | +1.2% |
| 2016 | 0.3387 units per square kilometre | +0.7% |
| 2017 | 0.3429 units per square kilometre | +1.2% |
| 2018 | 0.3504 units per square kilometre | +2.2% |
| 2019 | 0.3601 units per square kilometre | +2.8% |
| 2020 | 0.373 units per square kilometre | +3.6% |
| 2021 | 0.3889 units per square kilometre | +4.3% |
| 2022 | 0.4071 units per square kilometre | +4.7% |
| 2023 | 0.4261 units per square kilometre | +4.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.066 units per square kilometre | 0.0573 units per square kilometre | 0.0761 units per square kilometre | 9 |
| 1970s | 0.0971 units per square kilometre | 0.0792 units per square kilometre | 0.1179 units per square kilometre | 10 |
| 1980s | 0.1521 units per square kilometre | 0.1235 units per square kilometre | 0.1828 units per square kilometre | 10 |
| 1990s | 0.2094 units per square kilometre | 0.1833 units per square kilometre | 0.2346 units per square kilometre | 10 |
| 2000s | 0.2544 units per square kilometre | 0.2377 units per square kilometre | 0.2876 units per square kilometre | 10 |
| 2010s | 0.3314 units per square kilometre | 0.2987 units per square kilometre | 0.3601 units per square kilometre | 10 |
| 2020s | 0.3988 units per square kilometre | 0.373 units per square kilometre | 0.4261 units per square kilometre | 4 |
Countries ranked near Bhutan
- 176 Congo, Democratic Republic of the 0.4968 units per square kilometre compare
- 177 New Caledonia 0.4591 units per square kilometre compare
- 178 Algeria 0.4307 units per square kilometre compare
- 180 Solomon Islands 0.406 units per square kilometre compare
- 181 Vanuatu 0.3983 units per square kilometre compare
- 182 Argentina 0.3883 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, male, per square kilometre in Bhutan?
- Population ages 55-59, male, per square kilometre in Bhutan was 0.4261 units per square kilometre in 2023, according to Statizoid (derived).
- What is the highest population ages 55-59, male, per square kilometre recorded in Bhutan?
- The highest recorded value was 0.4261 units per square kilometre in 2023.
- What is the lowest population ages 55-59, male, per square kilometre recorded in Bhutan?
- The lowest recorded value was 0.0573 units per square kilometre in 1961.
- How does Bhutan rank for population ages 55-59, male, per square kilometre?
- Bhutan ranks 179th out of 216 countries with data for 2023.
- Is population ages 55-59, male, per square kilometre rising or falling in Bhutan?
- Over the last ten years it is up 30.5%. 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, male, 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, male 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, male ÷ Land area (sq. km)
Computed from
- Population ages 55-59, male 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, male 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.