1. Home
  2. Popular Names
  3. Pato

Gender Distribution

The gender distribution of people named Pato globally is 76.7% males and 23.3% females. The country with the highest male ratio is Chile with 98.9% and the country with the highest female ratio is Colombia with 84.4%

Bar chart showing gender ratios of people named Pato in percentages: Globally: 76.7% males, 23.3% females, Argentina: 38.2% males, 61.8% females, Chile: 98.9% males, 1.1% females, Mexico: 69.1% males, 30.9% females, Spain: 75.6% males, 24.4% females, Italy: 94.6% males, 5.4% females, United States: 85.5% males, 14.5% females, Ecuador: 96.6% males, 3.4% females, Colombia: 15.6% males, 84.4% females

Age Distribution

The largest group of people named Pato are 35-44 years old, making up 25.4% of people with the name. The smallest group are aged 18-24.

Doughnut chart showing the proportion of people named Pato in each age group: 18-24: 3.7%, 25-34: 16.9%, 35-44: 25.4%, 45-54: 23.3%, 55-64: 21.3%, 65+: 9.4%

The country with the largest proportion of people named Pato is Argentina with 0.035% of the population. Following is Ecuador and Chile.

Historic Popularity

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

Line chart showing global proportion of people named Pato year over year: 1956: 0.0008‰, 1957: 0.0014‰, 1958: 0.0017‰, 1959: 0.002‰, 1960: 0.0026‰, 1961: 0.0023‰, 1962: 0.0026‰, 1963: 0.002‰, 1964: 0.0022‰, 1965: 0.0035‰, 1966: 0.0028‰, 1967: 0.0024‰, 1968: 0.004‰, 1969: 0.0029‰, 1970: 0.003‰, 1971: 0.0026‰, 1972: 0.0021‰, 1973: 0.003‰, 1974: 0.0034‰, 1975: 0.0027‰, 1976: 0.0029‰, 1977: 0.0036‰, 1978: 0.0034‰, 1979: 0.0036‰, 1980: 0.0035‰, 1981: 0.0038‰, 1982: 0.0031‰, 1983: 0.003‰, 1984: 0.0032‰, 1985: 0.0032‰, 1986: 0.0035‰, 1987: 0.0028‰, 1988: 0.0032‰, 1989: 0.0042‰, 1990: 0.0033‰, 1991: 0.0025‰, 1992: 0.0022‰, 1993: 0.0022‰, 1994: 0.0015‰, 1995: 0.0007‰, 1996: 0.0004‰, 1997: 0.0005‰, 1998: 0.001‰, 1999: 0.0013‰, 2001: 0.0061‰

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 .