Population ages 35-39, female, annual growth rate in Thailand
Thailand: Population ages 35-39, female, annual growth rate was -0.7449 % change on previous year in 2025. ◆ Volatile
Latest (2025)
-0.7449 % change on previous year
Change on year
up 37.4%
World rank
171st
of 218 countries
All-time high
5.8 % change on previous year
in 1986
All-time low
-1.84 % change on previous year
in 2022
Years of data
65
1961–2025
Population ages 35-39, female, annual growth rate in Thailand, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
The most recent figure for population ages 35-39, female, annual growth rate in Thailand is -0.7449 % change on previous year, measured in 2025.
Compared with earlier readings it is up 37.4% on the previous year and down 109.1% over ten years.
Over the whole period, population ages 35-39, female, annual growth rate in Thailand peaked at 5.8 % change on previous year in 1986 and was at its lowest, -1.84 % change on previous year, in 2022.
That places Thailand 171st out of 218 countries with data for 2025, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Population ages 35-39, female, annual growth rate in Thailand, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 4.01 % change on previous year | — |
| 1962 | 4.46 % change on previous year | +11.2% |
| 1963 | 4.63 % change on previous year | +3.9% |
| 1964 | 4.42 % change on previous year | -4.5% |
| 1965 | 4.13 % change on previous year | -6.7% |
| 1966 | 3.81 % change on previous year | -7.6% |
| 1967 | 3.45 % change on previous year | -9.5% |
| 1968 | 3.23 % change on previous year | -6.3% |
| 1969 | 3.25 % change on previous year | +0.4% |
| 1970 | 3.29 % change on previous year | +1.4% |
| 1971 | 3.41 % change on previous year | +3.4% |
| 1972 | 3.65 % change on previous year | +7.1% |
| 1973 | 3.56 % change on previous year | -2.3% |
| 1974 | 2.87 % change on previous year | -19.5% |
| 1975 | 2.11 % change on previous year | -26.5% |
| 1976 | 1.44 % change on previous year | -31.8% |
| 1977 | 0.9577 % change on previous year | -33.4% |
| 1978 | 0.8551 % change on previous year | -10.7% |
| 1979 | 1.18 % change on previous year | +38.1% |
| 1980 | 1.86 % change on previous year | +57.3% |
| 1981 | 2.53 % change on previous year | +36.1% |
| 1982 | 3.24 % change on previous year | +28.1% |
| 1983 | 3.8 % change on previous year | +17.4% |
| 1984 | 4.79 % change on previous year | +26.0% |
| 1985 | 5.71 % change on previous year | +19.1% |
| 1986 | 5.8 % change on previous year | +1.5% |
| 1987 | 5.66 % change on previous year | -2.4% |
| 1988 | 5.65 % change on previous year | -0.2% |
| 1989 | 5.07 % change on previous year | -10.2% |
| 1990 | 4.67 % change on previous year | -7.8% |
| 1991 | 4.81 % change on previous year | +2.9% |
| 1992 | 4.8 % change on previous year | -0.3% |
| 1993 | 4.61 % change on previous year | -3.8% |
| 1994 | 4.43 % change on previous year | -4.0% |
| 1995 | 4.32 % change on previous year | -2.4% |
| 1996 | 3.82 % change on previous year | -11.7% |
| 1997 | 3.33 % change on previous year | -12.7% |
| 1998 | 3.41 % change on previous year | +2.2% |
| 1999 | 3.29 % change on previous year | -3.3% |
| 2000 | 2.16 % change on previous year | -34.3% |
| 2001 | 1.11 % change on previous year | -48.8% |
| 2002 | 0.825 % change on previous year | -25.6% |
| 2003 | 0.6253 % change on previous year | -24.2% |
| 2004 | 0.4202 % change on previous year | -32.8% |
| 2005 | 0.4095 % change on previous year | -2.5% |
| 2006 | 0.3713 % change on previous year | -9.3% |
| 2007 | 0.1278 % change on previous year | -65.6% |
| 2008 | -0.1793 % change on previous year | -240.2% |
| 2009 | -0.5147 % change on previous year | +187.1% |
| 2010 | -1.1 % change on previous year | +114.0% |
| 2011 | -1.45 % change on previous year | +31.5% |
| 2012 | -1.26 % change on previous year | -12.9% |
| 2013 | -0.9839 % change on previous year | -21.9% |
| 2014 | -0.666 % change on previous year | -32.3% |
| 2015 | -0.3562 % change on previous year | -46.5% |
| 2016 | -0.1196 % change on previous year | -66.4% |
| 2017 | -0.147 % change on previous year | +22.9% |
| 2018 | -0.514 % change on previous year | +249.7% |
| 2019 | -0.9825 % change on previous year | +91.2% |
| 2020 | -1.39 % change on previous year | +41.3% |
| 2021 | -1.71 % change on previous year | +23.5% |
| 2022 | -1.84 % change on previous year | +7.3% |
| 2023 | -1.57 % change on previous year | -14.7% |
| 2024 | -1.19 % change on previous year | -24.0% |
| 2025 | -0.7449 % change on previous year | -37.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 3.93 % change on previous year | 3.23 % change on previous year | 4.63 % change on previous year | 9 |
| 1970s | 2.33 % change on previous year | 0.8551 % change on previous year | 3.65 % change on previous year | 10 |
| 1980s | 4.41 % change on previous year | 1.86 % change on previous year | 5.8 % change on previous year | 10 |
| 1990s | 4.15 % change on previous year | 3.29 % change on previous year | 4.81 % change on previous year | 10 |
| 2000s | 0.5358 % change on previous year | -0.5147 % change on previous year | 2.16 % change on previous year | 10 |
| 2010s | -0.7579 % change on previous year | -1.45 % change on previous year | -0.1196 % change on previous year | 10 |
| 2020s | -1.41 % change on previous year | -1.84 % change on previous year | -0.7449 % change on previous year | 6 |
Countries ranked near Thailand
- 168 Channel Islands -0.673 % change on previous year compare
- 169 Isle of Man -0.677 % change on previous year compare
- 170 France -0.7244 % change on previous year compare
- 172 Algeria -0.7776 % change on previous year compare
- 173 North Macedonia -0.816 % change on previous year compare
- 174 South Sudan -0.8302 % change on previous year compare
More health data for Thailand
- Un projection of annual infant deaths, annual growth rate -1.6 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.0316 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,582 deaths per 1,000 people (2090)
- Number of infants who die before age 1 677 deaths (2100)
- Population ages 30-34, female, annual growth rate -0.6546 % change on previous year (2025)
- Population ages 30-34, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 30-34, female, per capita 0.0352 units per person (2025)
- Population ages 30-34, male, annual growth rate -0.4354 % change on previous year (2025)
- Population ages 30-34, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 30-34, male, per capita 0.0356 units per person (2025)
Frequently asked questions
- What is population ages 35-39, female, annual growth rate in Thailand?
- Population ages 35-39, female, annual growth rate in Thailand was -0.7449 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 35-39, female, annual growth rate recorded in Thailand?
- The highest recorded value was 5.8 % change on previous year in 1986.
- What is the lowest population ages 35-39, female, annual growth rate recorded in Thailand?
- The lowest recorded value was -1.84 % change on previous year in 2022.
- How does Thailand rank for population ages 35-39, female, annual growth rate?
- Thailand ranks 171st out of 218 countries with data for 2025.
- Is population ages 35-39, female, annual growth rate rising or falling in Thailand?
- Over the last ten years it is down 109.1%. The long-run trend across the full record is volatile.
- Where does this Thailand data come from?
- The figures come from Statizoid (derived), published as part of Population ages 35-39, female, annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 65 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in Population ages 35-39, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 35-39, 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
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
The year-on-year percentage change in Population ages 35-39, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.