1. Home
  2. Popular Names
  3. Naif

Gender Distribution

The gender distribution of people named Naif globally is 97.6% males and 2.4% females. The country with the highest male ratio is United States with 99.9% and the country with the highest female ratio is Kuwait with 3.8%

Bar chart showing gender ratios of people named Naif in percentages: Globally: 97.6% males, 2.4% females, Saudi Arabia: 97.3% males, 2.7% females, Türkiye: 99.1% males, 0.9% females, Kuwait: 96.2% males, 3.8% females, United States: 99.9% males, 0.1% females, Oman: 98.1% males, 1.9% females, Yemen: 99.0% males, 1.0% females

Age Distribution

The largest group of people named Naif are 35-44 years old, making up 43.7% of people with the name. The smallest group are aged 65+.

Doughnut chart showing the proportion of people named Naif in each age group: 18-24: 4.6%, 25-34: 24.5%, 35-44: 43.7%, 45-54: 19.1%, 55-64: 5.1%, 65+: 3.1%

The country with the largest proportion of people named Naif is Saudi Arabia with 0.0673% of the population. Following is Kuwait and Oman.

Historic Popularity

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

Line chart showing global proportion of people named Naif year over year: 1956: 0.0004‰, 1957: 0.0005‰, 1958: 0.0002‰, 1959: 0.0001‰, 1960: 0.0006‰, 1961: 0.0001‰, 1962: 0.0001‰, 1963: 0.0004‰, 1964: 0.0005‰, 1965: 0.0006‰, 1966: 0.0006‰, 1967: 0.0004‰, 1968: 0.0007‰, 1969: 0.001‰, 1970: 0.0015‰, 1971: 0.0008‰, 1972: 0.001‰, 1973: 0.0016‰, 1974: 0.0012‰, 1975: 0.0021‰, 1976: 0.0016‰, 1977: 0.003‰, 1978: 0.0025‰, 1979: 0.0038‰, 1980: 0.0061‰, 1981: 0.004‰, 1982: 0.005‰, 1983: 0.0054‰, 1984: 0.0053‰, 1985: 0.0057‰, 1986: 0.0048‰, 1987: 0.0047‰, 1988: 0.0035‰, 1989: 0.0031‰, 1990: 0.0028‰, 1991: 0.0029‰, 1992: 0.0029‰, 1993: 0.0033‰, 1994: 0.0024‰, 1995: 0.0019‰, 1996: 0.0009‰, 1997: 0.0013‰, 1998: 0.0018‰, 1999: 0.002‰, 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 .