Population ages 50-54, female, per square kilometre in Bhutan
Bhutan: Population ages 50-54, female, per square kilometre was 0.435 units per square kilometre in 2023. ▲ Rising
Population ages 50-54, female, per square kilometre in Bhutan, 1961–2023
Source: Statizoid (derived). Measured in units per square kilometre.
Analysis
In 2023, population ages 50-54, female, per square kilometre in Bhutan stood at 0.435 units per square kilometre. That is the highest value across all 63 years on record.
Compared with earlier readings it is up 1.6% on the previous year and up 31.7% over ten years.
Over the whole period, population ages 50-54, female, per square kilometre in Bhutan peaked at 0.435 units per square kilometre in 2023 and was at its lowest, 0.0709 units per square kilometre, in 1961.
Bhutan ranks 189th of 216 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 63 years of available data.
Population ages 50-54, female, per square kilometre in Bhutan, year by year
| Year | units per square kilometre | Change |
|---|---|---|
| 1961 | 0.0709 units per square kilometre | — |
| 1962 | 0.073 units per square kilometre | +2.9% |
| 1963 | 0.0752 units per square kilometre | +3.1% |
| 1964 | 0.0775 units per square kilometre | +3.1% |
| 1965 | 0.08 units per square kilometre | +3.2% |
| 1966 | 0.0826 units per square kilometre | +3.2% |
| 1967 | 0.0854 units per square kilometre | +3.3% |
| 1968 | 0.0883 units per square kilometre | +3.4% |
| 1969 | 0.0913 units per square kilometre | +3.4% |
| 1970 | 0.0946 units per square kilometre | +3.6% |
| 1971 | 0.098 units per square kilometre | +3.6% |
| 1972 | 0.1015 units per square kilometre | +3.6% |
| 1973 | 0.1053 units per square kilometre | +3.7% |
| 1974 | 0.1093 units per square kilometre | +3.8% |
| 1975 | 0.1134 units per square kilometre | +3.8% |
| 1976 | 0.1177 units per square kilometre | +3.8% |
| 1977 | 0.1223 units per square kilometre | +3.9% |
| 1978 | 0.127 units per square kilometre | +3.9% |
| 1979 | 0.1318 units per square kilometre | +3.8% |
| 1980 | 0.1369 units per square kilometre | +3.8% |
| 1981 | 0.1421 units per square kilometre | +3.8% |
| 1982 | 0.1473 units per square kilometre | +3.7% |
| 1983 | 0.1527 units per square kilometre | +3.6% |
| 1984 | 0.1582 units per square kilometre | +3.6% |
| 1985 | 0.1637 units per square kilometre | +3.5% |
| 1986 | 0.1693 units per square kilometre | +3.4% |
| 1987 | 0.1751 units per square kilometre | +3.4% |
| 1988 | 0.181 units per square kilometre | +3.4% |
| 1989 | 0.1868 units per square kilometre | +3.2% |
| 1990 | 0.1924 units per square kilometre | +3.0% |
| 1991 | 0.1964 units per square kilometre | +2.1% |
| 1992 | 0.1898 units per square kilometre | -3.3% |
| 1993 | 0.1831 units per square kilometre | -3.5% |
| 1994 | 0.2164 units per square kilometre | +18.2% |
| 1995 | 0.2161 units per square kilometre | -0.1% |
| 1996 | 0.2191 units per square kilometre | +1.4% |
| 1997 | 0.2259 units per square kilometre | +3.1% |
| 1998 | 0.2313 units per square kilometre | +2.4% |
| 1999 | 0.2345 units per square kilometre | +1.4% |
| 2000 | 0.236 units per square kilometre | +0.6% |
| 2001 | 0.2371 units per square kilometre | +0.5% |
| 2002 | 0.2396 units per square kilometre | +1.0% |
| 2003 | 0.2441 units per square kilometre | +1.9% |
| 2004 | 0.2615 units per square kilometre | +7.1% |
| 2005 | 0.2701 units per square kilometre | +3.3% |
| 2006 | 0.2804 units per square kilometre | +3.8% |
| 2007 | 0.2907 units per square kilometre | +3.7% |
| 2008 | 0.3001 units per square kilometre | +3.2% |
| 2009 | 0.308 units per square kilometre | +2.6% |
| 2010 | 0.3145 units per square kilometre | +2.1% |
| 2011 | 0.3198 units per square kilometre | +1.7% |
| 2012 | 0.3248 units per square kilometre | +1.6% |
| 2013 | 0.3301 units per square kilometre | +1.6% |
| 2014 | 0.3364 units per square kilometre | +1.9% |
| 2015 | 0.3439 units per square kilometre | +2.2% |
| 2016 | 0.3533 units per square kilometre | +2.7% |
| 2017 | 0.3662 units per square kilometre | +3.7% |
| 2018 | 0.3817 units per square kilometre | +4.2% |
| 2019 | 0.397 units per square kilometre | +4.0% |
| 2020 | 0.4102 units per square kilometre | +3.3% |
| 2021 | 0.4203 units per square kilometre | +2.5% |
| 2022 | 0.428 units per square kilometre | +1.8% |
| 2023 | 0.435 units per square kilometre | +1.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.0805 units per square kilometre | 0.0709 units per square kilometre | 0.0913 units per square kilometre | 9 |
| 1970s | 0.1121 units per square kilometre | 0.0946 units per square kilometre | 0.1318 units per square kilometre | 10 |
| 1980s | 0.1613 units per square kilometre | 0.1369 units per square kilometre | 0.1868 units per square kilometre | 10 |
| 1990s | 0.2105 units per square kilometre | 0.1831 units per square kilometre | 0.2345 units per square kilometre | 10 |
| 2000s | 0.2668 units per square kilometre | 0.236 units per square kilometre | 0.308 units per square kilometre | 10 |
| 2010s | 0.3468 units per square kilometre | 0.3145 units per square kilometre | 0.397 units per square kilometre | 10 |
| 2020s | 0.4234 units per square kilometre | 0.4102 units per square kilometre | 0.435 units per square kilometre | 4 |
Countries ranked near Bhutan
- 186 Turkmenistan 0.4443 units per square kilometre compare
- 187 Angola 0.4433 units per square kilometre compare
- 188 Sudan 0.44 units per square kilometre compare
- 190 Belize 0.4278 units per square kilometre compare
- 191 Zambia 0.3982 units per square kilometre compare
- 192 Paraguay 0.3894 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)
- Population ages 40-44, male, annual growth rate 3.1 % change on previous year (2025)
- Population ages 40-44, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 40-44, male, per capita 0.0436 units per person (2025)
- Population ages 45-49, female, annual growth rate 6.03 % change on previous year (2025)
- Population ages 45-49, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 45-49, female, per capita 0.029 units per person (2025)
Frequently asked questions
- What is population ages 50-54, female, per square kilometre in Bhutan?
- Population ages 50-54, female, per square kilometre in Bhutan was 0.435 units per square kilometre in 2023, according to Statizoid (derived).
- What is the highest population ages 50-54, female, per square kilometre recorded in Bhutan?
- The highest recorded value was 0.435 units per square kilometre in 2023.
- What is the lowest population ages 50-54, female, per square kilometre recorded in Bhutan?
- The lowest recorded value was 0.0709 units per square kilometre in 1961.
- How does Bhutan rank for population ages 50-54, female, per square kilometre?
- Bhutan ranks 189th out of 216 countries with data for 2023.
- Is population ages 50-54, female, per square kilometre rising or falling in Bhutan?
- Over the last ten years it is up 31.7%. The long-run trend across the full record is rising.
- Where does this Bhutan data come from?
- The figures come from Statizoid (derived), published as part of Population ages 50-54, 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 50-54, 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 50-54, female ÷ Land area (sq. km)
Computed from
- Population ages 50-54, 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 50-54, 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.