Population ages 45-49, female, per square kilometre in Bhutan
Bhutan: Population ages 45-49, female, per square kilometre was 0.5365 units per square kilometre in 2023. ▲ Rising
Population ages 45-49, female, per square kilometre in Bhutan, 1961–2023
Source: Statizoid (derived). Measured in units per square kilometre.
Analysis
The most recent figure for population ages 45-49, female, per square kilometre in Bhutan is 0.5365 units per square kilometre, measured in 2023. That is the highest value across all 63 years on record.
Compared with earlier readings it is up 6.1% on the previous year and up 35.5% over ten years.
Over the whole period, population ages 45-49, female, per square kilometre in Bhutan peaked at 0.5365 units per square kilometre in 2023 and was at its lowest, 0.0883 units per square kilometre, in 1961.
That places Bhutan 184th out of 216 countries with data for 2023, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 63 years of available data.
Population ages 45-49, female, per square kilometre in Bhutan, year by year
| Year | units per square kilometre | Change |
|---|---|---|
| 1961 | 0.0883 units per square kilometre | — |
| 1962 | 0.091 units per square kilometre | +3.2% |
| 1963 | 0.094 units per square kilometre | +3.2% |
| 1964 | 0.0971 units per square kilometre | +3.3% |
| 1965 | 0.1003 units per square kilometre | +3.4% |
| 1966 | 0.1038 units per square kilometre | +3.4% |
| 1967 | 0.1074 units per square kilometre | +3.5% |
| 1968 | 0.1113 units per square kilometre | +3.6% |
| 1969 | 0.1154 units per square kilometre | +3.7% |
| 1970 | 0.1197 units per square kilometre | +3.7% |
| 1971 | 0.1241 units per square kilometre | +3.7% |
| 1972 | 0.1288 units per square kilometre | +3.7% |
| 1973 | 0.1336 units per square kilometre | +3.8% |
| 1974 | 0.1387 units per square kilometre | +3.8% |
| 1975 | 0.1439 units per square kilometre | +3.7% |
| 1976 | 0.1492 units per square kilometre | +3.7% |
| 1977 | 0.1548 units per square kilometre | +3.7% |
| 1978 | 0.1605 units per square kilometre | +3.6% |
| 1979 | 0.1662 units per square kilometre | +3.6% |
| 1980 | 0.1719 units per square kilometre | +3.5% |
| 1981 | 0.1778 units per square kilometre | +3.4% |
| 1982 | 0.1838 units per square kilometre | +3.3% |
| 1983 | 0.1898 units per square kilometre | +3.3% |
| 1984 | 0.1959 units per square kilometre | +3.2% |
| 1985 | 0.2019 units per square kilometre | +3.1% |
| 1986 | 0.208 units per square kilometre | +3.0% |
| 1987 | 0.2141 units per square kilometre | +3.0% |
| 1988 | 0.2206 units per square kilometre | +3.0% |
| 1989 | 0.2276 units per square kilometre | +3.2% |
| 1990 | 0.235 units per square kilometre | +3.2% |
| 1991 | 0.2408 units per square kilometre | +2.5% |
| 1992 | 0.2336 units per square kilometre | -3.0% |
| 1993 | 0.2243 units per square kilometre | -4.0% |
| 1994 | 0.2624 units per square kilometre | +17.0% |
| 1995 | 0.2587 units per square kilometre | -1.4% |
| 1996 | 0.2576 units per square kilometre | -0.4% |
| 1997 | 0.261 units per square kilometre | +1.3% |
| 1998 | 0.2666 units per square kilometre | +2.1% |
| 1999 | 0.2721 units per square kilometre | +2.1% |
| 2000 | 0.2767 units per square kilometre | +1.7% |
| 2001 | 0.2831 units per square kilometre | +2.3% |
| 2002 | 0.2902 units per square kilometre | +2.5% |
| 2003 | 0.2976 units per square kilometre | +2.6% |
| 2004 | 0.3183 units per square kilometre | +7.0% |
| 2005 | 0.3255 units per square kilometre | +2.2% |
| 2006 | 0.3323 units per square kilometre | +2.1% |
| 2007 | 0.3389 units per square kilometre | +2.0% |
| 2008 | 0.3458 units per square kilometre | +2.0% |
| 2009 | 0.3533 units per square kilometre | +2.2% |
| 2010 | 0.3617 units per square kilometre | +2.4% |
| 2011 | 0.3715 units per square kilometre | +2.7% |
| 2012 | 0.383 units per square kilometre | +3.1% |
| 2013 | 0.3959 units per square kilometre | +3.4% |
| 2014 | 0.4092 units per square kilometre | +3.4% |
| 2015 | 0.421 units per square kilometre | +2.9% |
| 2016 | 0.4294 units per square kilometre | +2.0% |
| 2017 | 0.4362 units per square kilometre | +1.6% |
| 2018 | 0.4431 units per square kilometre | +1.6% |
| 2019 | 0.4512 units per square kilometre | +1.8% |
| 2020 | 0.4633 units per square kilometre | +2.7% |
| 2021 | 0.4813 units per square kilometre | +3.9% |
| 2022 | 0.5057 units per square kilometre | +5.1% |
| 2023 | 0.5365 units per square kilometre | +6.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.101 units per square kilometre | 0.0883 units per square kilometre | 0.1154 units per square kilometre | 9 |
| 1970s | 0.1419 units per square kilometre | 0.1197 units per square kilometre | 0.1662 units per square kilometre | 10 |
| 1980s | 0.1991 units per square kilometre | 0.1719 units per square kilometre | 0.2276 units per square kilometre | 10 |
| 1990s | 0.2512 units per square kilometre | 0.2243 units per square kilometre | 0.2721 units per square kilometre | 10 |
| 2000s | 0.3162 units per square kilometre | 0.2767 units per square kilometre | 0.3533 units per square kilometre | 10 |
| 2010s | 0.4102 units per square kilometre | 0.3617 units per square kilometre | 0.4512 units per square kilometre | 10 |
| 2020s | 0.4967 units per square kilometre | 0.4633 units per square kilometre | 0.5365 units per square kilometre | 4 |
Countries ranked near Bhutan
- 181 New Caledonia 0.5563 units per square kilometre compare
- 182 Finland 0.5485 units per square kilometre compare
- 183 Zambia 0.5387 units per square kilometre compare
- 185 Angola 0.5352 units per square kilometre compare
- 186 Argentina 0.5295 units per square kilometre compare
- 187 Sudan 0.5125 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 45-49, female, per square kilometre in Bhutan?
- Population ages 45-49, female, per square kilometre in Bhutan was 0.5365 units per square kilometre in 2023, according to Statizoid (derived).
- What is the highest population ages 45-49, female, per square kilometre recorded in Bhutan?
- The highest recorded value was 0.5365 units per square kilometre in 2023.
- What is the lowest population ages 45-49, female, per square kilometre recorded in Bhutan?
- The lowest recorded value was 0.0883 units per square kilometre in 1961.
- How does Bhutan rank for population ages 45-49, female, per square kilometre?
- Bhutan ranks 184th out of 216 countries with data for 2023.
- Is population ages 45-49, female, per square kilometre rising or falling in Bhutan?
- Over the last ten years it is up 35.5%. 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 45-49, 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 45-49, 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 45-49, female ÷ Land area (sq. km)
Computed from
- Population ages 45-49, 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 45-49, 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.