Population ages 30-34, male, annual growth rate in High income
High income: Population ages 30-34, male, annual growth rate was -1.5 % change on previous year in 2025. ◆ Volatile
Population ages 30-34, male, annual growth rate in High income, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
The most recent figure for population ages 30-34, male, annual growth rate in High income is -1.5 % change on previous year, measured in 2025. That is the lowest value across all 65 years on record.
That represents a change of down 103.1% on the previous year and down 321.2% over ten years.
Over the whole period, population ages 30-34, male, annual growth rate in High income peaked at 5.52 % change on previous year in 1980 and was at its lowest, -1.5 % change on previous year, in 2025.
That places High income 33rd out of 43 groups 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 30-34, male, annual growth rate in High income, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 1.23 % change on previous year | — |
| 1962 | 0.2289 % change on previous year | -81.4% |
| 1963 | -0.7836 % change on previous year | -442.4% |
| 1964 | -0.9951 % change on previous year | +27.0% |
| 1965 | -0.5426 % change on previous year | -45.5% |
| 1966 | 0.01 % change on previous year | -101.8% |
| 1967 | 0.8471 % change on previous year | +8377.9% |
| 1968 | 1.56 % change on previous year | +84.5% |
| 1969 | 2.09 % change on previous year | +33.9% |
| 1970 | 1.57 % change on previous year | -24.9% |
| 1971 | 1.08 % change on previous year | -31.0% |
| 1972 | 0.0183 % change on previous year | -98.3% |
| 1973 | -0.6247 % change on previous year | -3508.6% |
| 1974 | -0.9118 % change on previous year | +45.9% |
| 1975 | -1.46 % change on previous year | +59.9% |
| 1976 | 0.8138 % change on previous year | -155.8% |
| 1977 | 4.52 % change on previous year | +455.1% |
| 1978 | 5.49 % change on previous year | +21.5% |
| 1979 | 5.45 % change on previous year | -0.7% |
| 1980 | 5.52 % change on previous year | +1.2% |
| 1981 | 3.37 % change on previous year | -38.9% |
| 1982 | 0.875 % change on previous year | -74.0% |
| 1983 | 0.4247 % change on previous year | -51.5% |
| 1984 | 0.5548 % change on previous year | +30.6% |
| 1985 | 0.9277 % change on previous year | +67.2% |
| 1986 | 1.24 % change on previous year | +33.3% |
| 1987 | 1.19 % change on previous year | -3.8% |
| 1988 | 1.32 % change on previous year | +10.6% |
| 1989 | 1.44 % change on previous year | +9.7% |
| 1990 | 1.13 % change on previous year | -21.8% |
| 1991 | 1.13 % change on previous year | +0.1% |
| 1992 | 0.9717 % change on previous year | -14.0% |
| 1993 | 0.5817 % change on previous year | -40.1% |
| 1994 | 0.2468 % change on previous year | -57.6% |
| 1995 | -0.192 % change on previous year | -177.8% |
| 1996 | -0.8469 % change on previous year | +341.2% |
| 1997 | -1.07 % change on previous year | +26.6% |
| 1998 | -0.8523 % change on previous year | -20.5% |
| 1999 | -0.6178 % change on previous year | -27.5% |
| 2000 | -0.1217 % change on previous year | -80.3% |
| 2001 | 0.4791 % change on previous year | -493.8% |
| 2002 | 0.5026 % change on previous year | +4.9% |
| 2003 | 0.1123 % change on previous year | -77.7% |
| 2004 | -0.0683 % change on previous year | -160.8% |
| 2005 | -0.3984 % change on previous year | +483.1% |
| 2006 | -0.4368 % change on previous year | +9.6% |
| 2007 | -0.0013 % change on previous year | -99.7% |
| 2008 | 0.3875 % change on previous year | -31017.0% |
| 2009 | 0.4588 % change on previous year | +18.4% |
| 2010 | 0.4924 % change on previous year | +7.3% |
| 2011 | 0.739 % change on previous year | +50.1% |
| 2012 | 0.9392 % change on previous year | +27.1% |
| 2013 | 1.09 % change on previous year | +16.5% |
| 2014 | 0.7724 % change on previous year | -29.4% |
| 2015 | 0.6797 % change on previous year | -12.0% |
| 2016 | 0.6253 % change on previous year | -8.0% |
| 2017 | 0.2569 % change on previous year | -58.9% |
| 2018 | -0.049 % change on previous year | -119.1% |
| 2019 | 0.175 % change on previous year | -457.4% |
| 2020 | 0.2291 % change on previous year | +30.9% |
| 2021 | -0.3725 % change on previous year | -262.6% |
| 2022 | 0.2549 % change on previous year | -168.4% |
| 2023 | -0.2011 % change on previous year | -178.9% |
| 2024 | -0.7401 % change on previous year | +268.0% |
| 2025 | -1.5 % change on previous year | +103.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.4058 % change on previous year | -0.9951 % change on previous year | 2.09 % change on previous year | 9 |
| 1970s | 1.59 % change on previous year | -1.46 % change on previous year | 5.49 % change on previous year | 10 |
| 1980s | 1.69 % change on previous year | 0.4247 % change on previous year | 5.52 % change on previous year | 10 |
| 1990s | 0.0478 % change on previous year | -1.07 % change on previous year | 1.13 % change on previous year | 10 |
| 2000s | 0.0914 % change on previous year | -0.4368 % change on previous year | 0.5026 % change on previous year | 10 |
| 2010s | 0.5725 % change on previous year | -0.049 % change on previous year | 1.09 % change on previous year | 10 |
| 2020s | -0.3888 % change on previous year | -1.5 % change on previous year | 0.2549 % change on previous year | 6 |
Countries ranked near High income
- 30 Timor-Leste 3.04 % change on previous year compare
- 31 Sierra Leone 2.95 % change on previous year compare
- 32 Zambia 2.84 % change on previous year compare
- 33 Guinea-Bissau 2.83 % change on previous year compare
- 34 Singapore 2.76 % change on previous year compare
- 35 Burkina Faso 2.75 % change on previous year compare
- 36 Micronesia, Federated States of 2.73 % change on previous year compare
More health data for High income
- Population ages 55-59, female, annual growth rate 0.1116 % change on previous year (2025)
- Population ages 60-64, female, annual growth rate 0.0537 % change on previous year (2025)
- Population ages 55-59, male, per capita 0.032 units per person (2025)
- Population ages 55-59, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 55-59, male, annual growth rate 0.2859 % change on previous year (2025)
- Population ages 55-59, female, per capita 0.0325 units per person (2025)
- Population ages 55-59, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 50-54, male, annual growth rate -0.2324 % change on previous year (2025)
- Population ages 50-54, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 50-54, female, per capita 0.0331 units per person (2025)
Frequently asked questions
- What is population ages 30-34, male, annual growth rate in High income?
- Population ages 30-34, male, annual growth rate in High income was -1.5 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 30-34, male, annual growth rate recorded in High income?
- The highest recorded value was 5.52 % change on previous year in 1980.
- What is the lowest population ages 30-34, male, annual growth rate recorded in High income?
- The lowest recorded value was -1.5 % change on previous year in 2025.
- How does High income rank for population ages 30-34, male, annual growth rate?
- High income ranks 33rd out of 43 groups with data for 2025.
- Is population ages 30-34, male, annual growth rate rising or falling in High income?
- Over the last ten years it is down 321.2%. The long-run trend across the full record is volatile.
- Where does this High income data come from?
- The figures come from Statizoid (derived), published as part of Population ages 30-34, male, 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 30-34, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 30-34, male 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 30-34, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.