1. Home
  2. Popular Names
  3. Aries

Gender Distribution

The gender distribution of people named Aries globally is 64.1% males and 35.9% females. The country with the highest male ratio is Indonesia with 94.3% and the country with the highest female ratio is Mexico with 51.4%

Bar chart showing gender ratios of people named Aries in percentages: Globally: 64.1% males, 35.9% females, Indonesia: 94.3% males, 5.7% females, Philippines: 88.9% males, 11.1% females, United States: 54.2% males, 45.8% females, Malaysia: 54.4% males, 45.6% females, Mexico: 48.6% males, 51.4% females, Saudi Arabia: 82.6% males, 17.4% females, Spain: 55.1% males, 44.9% females, Peru: 58.3% males, 41.7% females

Age Distribution

The largest group of people named Aries are 45-54 years old, making up 28.4% of people with the name. The smallest group are aged 25-34.

Doughnut chart showing the proportion of people named Aries in each age group: 25-34: 11.2%, 35-44: 24.4%, 45-54: 28.4%, 55-64: 22.9%, 65+: 13.2%

The country with the largest proportion of people named Aries is Indonesia with 0.0402% of the population. Following is Philippines and Peru.

Historic Popularity

The historic popularity of the name Aries measured by the global proportion of people with the given name.

Line chart showing global proportion of people named Aries year over year: 1956: 0.001‰, 1957: 0.0017‰, 1958: 0.0017‰, 1959: 0.0019‰, 1960: 0.0016‰, 1961: 0.0022‰, 1962: 0.0036‰, 1963: 0.0021‰, 1964: 0.0025‰, 1965: 0.002‰, 1966: 0.0012‰, 1967: 0.0023‰, 1968: 0.0017‰, 1969: 0.0025‰, 1970: 0.0029‰, 1971: 0.002‰, 1972: 0.0025‰, 1973: 0.0028‰, 1974: 0.0027‰, 1975: 0.0025‰, 1976: 0.0021‰, 1977: 0.0025‰, 1978: 0.0036‰, 1979: 0.0025‰, 1980: 0.0024‰, 1981: 0.0029‰, 1982: 0.0021‰, 1983: 0.0021‰, 1984: 0.0022‰, 1985: 0.0023‰, 1986: 0.0022‰, 1987: 0.0025‰, 1988: 0.002‰, 1989: 0.0022‰, 1990: 0.0014‰, 1991: 0.0013‰, 1992: 0.0009‰, 1993: 0.0007‰, 1994: 0.0007‰, 1995: 0.0006‰, 1996: 0.0007‰, 1997: 0.0001‰, 1998: 0.0004‰, 1999: 0.0013‰

Need to Check a Lot of Names?

We offer tools for checking gender, age and nationality of names. Integrate with our service through API or no-code tools or upload and process CSV files .