1. Home
  2. Popular Names
  3. Fritz

Gender Distribution

The gender distribution of people named Fritz globally is 98.5% males and 1.5% females. The country with the highest male ratio is United States with 99.5% and the country with the highest female ratio is France with 7.1%

Bar chart showing gender ratios of people named Fritz in percentages: Globally: 98.5% males, 1.5% females, Germany: 98.8% males, 1.2% females, United States: 99.5% males, 0.5% females, Switzerland: 98.9% males, 1.1% females, Austria: 99.4% males, 0.6% females, Philippines: 94.1% males, 5.9% females, South Africa: 99.1% males, 0.9% females, France: 92.9% males, 7.1% females

Age Distribution

The largest group of people named Fritz are 65+ years old, making up 46.4% of people with the name. The smallest group are aged 18-24.

Doughnut chart showing the proportion of people named Fritz in each age group: 18-24: 2.0%, 25-34: 7.4%, 35-44: 8.2%, 45-54: 12.3%, 55-64: 23.7%, 65+: 46.4%

The country with the largest proportion of people named Fritz is Austria with 0.0985% of the population. Following is Switzerland and Germany.

Historic Popularity

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

Line chart showing global proportion of people named Fritz year over year: 1956: 0.0079‰, 1957: 0.0092‰, 1958: 0.0104‰, 1959: 0.0092‰, 1960: 0.0087‰, 1961: 0.0073‰, 1962: 0.0073‰, 1963: 0.0068‰, 1964: 0.0066‰, 1965: 0.0052‰, 1966: 0.0048‰, 1967: 0.0062‰, 1968: 0.0047‰, 1969: 0.0048‰, 1970: 0.0047‰, 1971: 0.0042‰, 1972: 0.0037‰, 1973: 0.0035‰, 1974: 0.0029‰, 1975: 0.003‰, 1976: 0.0027‰, 1977: 0.0024‰, 1978: 0.0026‰, 1979: 0.0025‰, 1980: 0.0024‰, 1981: 0.0019‰, 1982: 0.0019‰, 1983: 0.0021‰, 1984: 0.0021‰, 1985: 0.0024‰, 1986: 0.0018‰, 1987: 0.002‰, 1988: 0.0019‰, 1989: 0.0021‰, 1990: 0.0017‰, 1991: 0.0017‰, 1992: 0.0018‰, 1993: 0.0018‰, 1994: 0.0019‰, 1995: 0.0028‰, 1996: 0.0034‰, 1997: 0.0016‰, 1998: 0.001‰, 1999: 0.0003‰, 2000: 0.0005‰

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 .