Population ages 35-39, female, annual growth rate in Argentina
Argentina: Population ages 35-39, female, annual growth rate was 1.03 % change on previous year in 2025. ◆ Volatile
Latest (2025)
1.03 % change on previous year
Change on year
up 31.3%
World rank
118th
of 218 countries
All-time high
2.83 % change on previous year
in 2012
All-time low
-0.4811 % change on previous year
in 1968
Years of data
65
1961–2025
Population ages 35-39, female, annual growth rate in Argentina, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
In 2025, population ages 35-39, female, annual growth rate in Argentina stood at 1.03 % change on previous year.
That represents a change of up 31.3% on the previous year and down 45.9% over ten years.
Over the whole period, population ages 35-39, female, annual growth rate in Argentina peaked at 2.83 % change on previous year in 2012 and was at its lowest, -0.4811 % change on previous year, in 1968.
Argentina ranks 118th of 218 countries on this measure, in the middle of the range.
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 Argentina, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 2 % change on previous year | — |
| 1962 | 1.9 % change on previous year | -5.1% |
| 1963 | 1.7 % change on previous year | -10.4% |
| 1964 | 1.27 % change on previous year | -25.3% |
| 1965 | 0.7933 % change on previous year | -37.6% |
| 1966 | 0.2986 % change on previous year | -62.4% |
| 1967 | -0.1991 % change on previous year | -166.7% |
| 1968 | -0.4811 % change on previous year | +141.6% |
| 1969 | -0.4206 % change on previous year | -12.6% |
| 1970 | -0.1509 % change on previous year | -64.1% |
| 1971 | 0.1409 % change on previous year | -193.4% |
| 1972 | 0.436 % change on previous year | +209.3% |
| 1973 | 0.7089 % change on previous year | +62.6% |
| 1974 | 0.9515 % change on previous year | +34.2% |
| 1975 | 1.15 % change on previous year | +20.6% |
| 1976 | 1.37 % change on previous year | +19.3% |
| 1977 | 1.63 % change on previous year | +19.1% |
| 1978 | 1.88 % change on previous year | +15.0% |
| 1979 | 2.08 % change on previous year | +11.1% |
| 1980 | 2.27 % change on previous year | +8.9% |
| 1981 | 2.45 % change on previous year | +8.0% |
| 1982 | 2.63 % change on previous year | +7.2% |
| 1983 | 2.68 % change on previous year | +2.1% |
| 1984 | 2.43 % change on previous year | -9.4% |
| 1985 | 2.2 % change on previous year | -9.3% |
| 1986 | 2.06 % change on previous year | -6.5% |
| 1987 | 1.79 % change on previous year | -13.2% |
| 1988 | 1.59 % change on previous year | -11.3% |
| 1989 | 1.53 % change on previous year | -3.4% |
| 1990 | 1.37 % change on previous year | -10.7% |
| 1991 | 1.1 % change on previous year | -19.3% |
| 1992 | 0.9363 % change on previous year | -15.2% |
| 1993 | 0.7156 % change on previous year | -23.6% |
| 1994 | 0.7007 % change on previous year | -2.1% |
| 1995 | 0.7994 % change on previous year | +14.1% |
| 1996 | 0.6982 % change on previous year | -12.7% |
| 1997 | 0.6916 % change on previous year | -0.9% |
| 1998 | 0.8442 % change on previous year | +22.1% |
| 1999 | 0.7418 % change on previous year | -12.1% |
| 2000 | 0.3828 % change on previous year | -48.4% |
| 2001 | 0.1774 % change on previous year | -53.7% |
| 2002 | 0.1831 % change on previous year | +3.2% |
| 2003 | 0.3868 % change on previous year | +111.3% |
| 2004 | 0.8055 % change on previous year | +108.2% |
| 2005 | 1.39 % change on previous year | +72.4% |
| 2006 | 2.02 % change on previous year | +45.5% |
| 2007 | 2.39 % change on previous year | +18.4% |
| 2008 | 2.53 % change on previous year | +5.9% |
| 2009 | 2.67 % change on previous year | +5.3% |
| 2010 | 2.77 % change on previous year | +3.8% |
| 2011 | 2.8 % change on previous year | +1.2% |
| 2012 | 2.83 % change on previous year | +1.0% |
| 2013 | 2.71 % change on previous year | -4.1% |
| 2014 | 2.34 % change on previous year | -13.6% |
| 2015 | 1.91 % change on previous year | -18.3% |
| 2016 | 1.42 % change on previous year | -25.9% |
| 2017 | 0.8643 % change on previous year | -39.0% |
| 2018 | 0.4157 % change on previous year | -51.9% |
| 2019 | 0.1754 % change on previous year | -57.8% |
| 2020 | 0.0341 % change on previous year | -80.5% |
| 2021 | 0.0259 % change on previous year | -24.1% |
| 2022 | 0.2103 % change on previous year | +712.0% |
| 2023 | 0.542 % change on previous year | +157.7% |
| 2024 | 0.7879 % change on previous year | +45.4% |
| 2025 | 1.03 % change on previous year | +31.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.7626 % change on previous year | -0.4811 % change on previous year | 2 % change on previous year | 9 |
| 1970s | 1.02 % change on previous year | -0.1509 % change on previous year | 2.08 % change on previous year | 10 |
| 1980s | 2.16 % change on previous year | 1.53 % change on previous year | 2.68 % change on previous year | 10 |
| 1990s | 0.8602 % change on previous year | 0.6916 % change on previous year | 1.37 % change on previous year | 10 |
| 2000s | 1.29 % change on previous year | 0.1774 % change on previous year | 2.67 % change on previous year | 10 |
| 2010s | 1.82 % change on previous year | 0.1754 % change on previous year | 2.83 % change on previous year | 10 |
| 2020s | 0.4392 % change on previous year | 0.0259 % change on previous year | 1.03 % change on previous year | 6 |
Countries ranked near Argentina
- 115 Congo 1.12 % change on previous year compare
- 116 South Africa 1.1 % change on previous year compare
- 117 Solomon Islands 1.04 % change on previous year compare
- 119 Burundi 1.03 % change on previous year compare
- 120 United States of America 1 % change on previous year compare
- 121 Bahrain 0.9802 % change on previous year compare
More health data for Argentina
- Un projection of annual infant deaths, annual growth rate -1.58 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.6333 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,462 deaths per 1,000 people (2090)
- Number of infants who die before age 1 684 deaths (2100)
- Population ages 30-34, female, annual growth rate 0.7243 % 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 0.0375 units per person (2025)
- Population ages 30-34, male, annual growth rate 0.7319 % 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 0.0388 units per person (2025)
Frequently asked questions
- What is population ages 35-39, female, annual growth rate in Argentina?
- Population ages 35-39, female, annual growth rate in Argentina was 1.03 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 35-39, female, annual growth rate recorded in Argentina?
- The highest recorded value was 2.83 % change on previous year in 2012.
- What is the lowest population ages 35-39, female, annual growth rate recorded in Argentina?
- The lowest recorded value was -0.4811 % change on previous year in 1968.
- How does Argentina rank for population ages 35-39, female, annual growth rate?
- Argentina ranks 118th out of 218 countries with data for 2025.
- Is population ages 35-39, female, annual growth rate rising or falling in Argentina?
- Over the last ten years it is down 45.9%. The long-run trend across the full record is volatile.
- Where does this Argentina 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.