1. Home
  2. Popular Names
  3. Criss

Gender Distribution

The gender distribution of people named Criss globally is 44.5% males and 55.5% females. The country with the highest male ratio is France with 68.4% and the country with the highest female ratio is Spain with 86.9%

Bar chart showing gender ratios of people named Criss in percentages: Globally: 44.5% males, 55.5% females, Spain: 13.1% males, 86.9% females, Mexico: 34.3% males, 65.7% females, United States: 57.8% males, 42.2% females, Colombia: 40.7% males, 59.3% females, Peru: 32.7% males, 67.3% females, Italy: 42.2% males, 57.8% females, Romania: 24.0% males, 76.0% females, France: 68.4% males, 31.6% females

Age Distribution

The largest group of people named Criss are 25-34 years old, making up 22.6% of people with the name. The smallest group are aged 65+.

Doughnut chart showing the proportion of people named Criss in each age group: 18-24: 20.8%, 25-34: 22.6%, 35-44: 22.0%, 45-54: 18.4%, 55-64: 11.4%, 65+: 4.8%

The country with the largest proportion of people named Criss is Romania with 0.0231% of the population. Following is Peru and Mexico.

Historic Popularity

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

Line chart showing global proportion of people named Criss year over year: 1956: 0.0002‰, 1957: 0.0005‰, 1958: 0.0008‰, 1959: 0.0012‰, 1960: 0.0013‰, 1961: 0.0005‰, 1962: 0.0014‰, 1963: 0.0009‰, 1964: 0.0014‰, 1965: 0.0016‰, 1966: 0.0013‰, 1967: 0.0024‰, 1968: 0.0024‰, 1969: 0.0021‰, 1970: 0.0027‰, 1971: 0.0016‰, 1972: 0.0026‰, 1973: 0.0027‰, 1974: 0.0027‰, 1975: 0.0022‰, 1976: 0.0028‰, 1977: 0.0029‰, 1978: 0.0031‰, 1979: 0.0026‰, 1980: 0.0026‰, 1981: 0.0022‰, 1982: 0.0026‰, 1983: 0.0032‰, 1984: 0.0029‰, 1985: 0.0027‰, 1986: 0.0033‰, 1987: 0.0034‰, 1988: 0.0037‰, 1989: 0.0042‰, 1990: 0.0033‰, 1991: 0.0034‰, 1992: 0.0037‰, 1993: 0.0037‰, 1994: 0.0027‰, 1995: 0.0031‰, 1996: 0.0023‰, 1997: 0.0015‰, 1998: 0.003‰, 1999: 0.0017‰, 2000: 0.0032‰

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 .