Population ages 30-34, female, per square kilometre in Bhutan
Bhutan: Population ages 30-34, female, per square kilometre was 0.9539 units per square kilometre in 2023. ◆ Volatile
Population ages 30-34, 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 30-34, female, per square kilometre in Bhutan is 0.9539 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 0.6% on the previous year and up 32.6% over ten years.
Over the whole period, population ages 30-34, female, per square kilometre in Bhutan peaked at 0.9539 units per square kilometre in 2023 and was at its lowest, 0.1589 units per square kilometre, in 1961.
Bhutan ranks 176th 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 30-34, female, per square kilometre in Bhutan, year by year
| Year | units per square kilometre | Change |
|---|---|---|
| 1961 | 0.1589 units per square kilometre | — |
| 1962 | 0.1642 units per square kilometre | +3.3% |
| 1963 | 0.1698 units per square kilometre | +3.4% |
| 1964 | 0.1754 units per square kilometre | +3.3% |
| 1965 | 0.1812 units per square kilometre | +3.3% |
| 1966 | 0.1871 units per square kilometre | +3.3% |
| 1967 | 0.1933 units per square kilometre | +3.3% |
| 1968 | 0.1997 units per square kilometre | +3.3% |
| 1969 | 0.2061 units per square kilometre | +3.2% |
| 1970 | 0.2126 units per square kilometre | +3.1% |
| 1971 | 0.2192 units per square kilometre | +3.1% |
| 1972 | 0.2259 units per square kilometre | +3.1% |
| 1973 | 0.2329 units per square kilometre | +3.1% |
| 1974 | 0.2407 units per square kilometre | +3.3% |
| 1975 | 0.2492 units per square kilometre | +3.5% |
| 1976 | 0.2584 units per square kilometre | +3.7% |
| 1977 | 0.2677 units per square kilometre | +3.6% |
| 1978 | 0.2755 units per square kilometre | +2.9% |
| 1979 | 0.2823 units per square kilometre | +2.5% |
| 1980 | 0.2889 units per square kilometre | +2.3% |
| 1981 | 0.2945 units per square kilometre | +1.9% |
| 1982 | 0.2998 units per square kilometre | +1.8% |
| 1983 | 0.3066 units per square kilometre | +2.3% |
| 1984 | 0.3141 units per square kilometre | +2.5% |
| 1985 | 0.3215 units per square kilometre | +2.3% |
| 1986 | 0.3296 units per square kilometre | +2.5% |
| 1987 | 0.3379 units per square kilometre | +2.5% |
| 1988 | 0.3465 units per square kilometre | +2.5% |
| 1989 | 0.3553 units per square kilometre | +2.5% |
| 1990 | 0.3636 units per square kilometre | +2.3% |
| 1991 | 0.369 units per square kilometre | +1.5% |
| 1992 | 0.355 units per square kilometre | -3.8% |
| 1993 | 0.3412 units per square kilometre | -3.9% |
| 1994 | 0.4021 units per square kilometre | +17.8% |
| 1995 | 0.4001 units per square kilometre | -0.5% |
| 1996 | 0.4045 units per square kilometre | +1.1% |
| 1997 | 0.4169 units per square kilometre | +3.1% |
| 1998 | 0.4313 units per square kilometre | +3.4% |
| 1999 | 0.4453 units per square kilometre | +3.3% |
| 2000 | 0.4574 units per square kilometre | +2.7% |
| 2001 | 0.469 units per square kilometre | +2.5% |
| 2002 | 0.4804 units per square kilometre | +2.4% |
| 2003 | 0.4918 units per square kilometre | +2.4% |
| 2004 | 0.5258 units per square kilometre | +6.9% |
| 2005 | 0.5396 units per square kilometre | +2.6% |
| 2006 | 0.5561 units per square kilometre | +3.0% |
| 2007 | 0.5748 units per square kilometre | +3.4% |
| 2008 | 0.5962 units per square kilometre | +3.7% |
| 2009 | 0.6208 units per square kilometre | +4.1% |
| 2010 | 0.6474 units per square kilometre | +4.3% |
| 2011 | 0.6739 units per square kilometre | +4.1% |
| 2012 | 0.6983 units per square kilometre | +3.6% |
| 2013 | 0.7192 units per square kilometre | +3.0% |
| 2014 | 0.737 units per square kilometre | +2.5% |
| 2015 | 0.7541 units per square kilometre | +2.3% |
| 2016 | 0.7727 units per square kilometre | +2.5% |
| 2017 | 0.7991 units per square kilometre | +3.4% |
| 2018 | 0.8338 units per square kilometre | +4.3% |
| 2019 | 0.8704 units per square kilometre | +4.4% |
| 2020 | 0.9039 units per square kilometre | +3.8% |
| 2021 | 0.9306 units per square kilometre | +3.0% |
| 2022 | 0.9479 units per square kilometre | +1.9% |
| 2023 | 0.9539 units per square kilometre | +0.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.1818 units per square kilometre | 0.1589 units per square kilometre | 0.2061 units per square kilometre | 9 |
| 1970s | 0.2464 units per square kilometre | 0.2126 units per square kilometre | 0.2823 units per square kilometre | 10 |
| 1980s | 0.3195 units per square kilometre | 0.2889 units per square kilometre | 0.3553 units per square kilometre | 10 |
| 1990s | 0.3929 units per square kilometre | 0.3412 units per square kilometre | 0.4453 units per square kilometre | 10 |
| 2000s | 0.5312 units per square kilometre | 0.4574 units per square kilometre | 0.6208 units per square kilometre | 10 |
| 2010s | 0.7506 units per square kilometre | 0.6474 units per square kilometre | 0.8704 units per square kilometre | 10 |
| 2020s | 0.9341 units per square kilometre | 0.9039 units per square kilometre | 0.9539 units per square kilometre | 4 |
Countries ranked near Bhutan
- 173 Latvia 0.9874 units per square kilometre compare
- 174 Brazil 0.9689 units per square kilometre compare
- 175 Zambia 0.9643 units per square kilometre compare
- 177 Angola 0.9429 units per square kilometre compare
- 178 Solomon Islands 0.9405 units per square kilometre compare
- 179 Sweden 0.9319 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 15-19, male, annual growth rate -1.26 % change on previous year (2025)
- Population ages 15-19, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 15-19, male, per capita 0.0437 units per person (2025)
- Population ages 20-24, female, annual growth rate 0.8032 % change on previous year (2025)
- Population ages 20-24, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 20-24, female, per capita 0.0444 units per person (2025)
Frequently asked questions
- What is population ages 30-34, female, per square kilometre in Bhutan?
- Population ages 30-34, female, per square kilometre in Bhutan was 0.9539 units per square kilometre in 2023, according to Statizoid (derived).
- What is the highest population ages 30-34, female, per square kilometre recorded in Bhutan?
- The highest recorded value was 0.9539 units per square kilometre in 2023.
- What is the lowest population ages 30-34, female, per square kilometre recorded in Bhutan?
- The lowest recorded value was 0.1589 units per square kilometre in 1961.
- How does Bhutan rank for population ages 30-34, female, per square kilometre?
- Bhutan ranks 176th out of 216 countries with data for 2023.
- Is population ages 30-34, female, per square kilometre rising or falling in Bhutan?
- Over the last ten years it is up 32.6%. 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, 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 30-34, 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 30-34, female ÷ Land area (sq. km)
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
- 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 30-34, 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.