1. Home
  2. Popular Names
  3. Marlena

Is Marlena a Male or Female Name?

Marlena is a female name

Gender Distribution

The gender distribution of people named Marlena globally is 0.9% males and 99.1% females. The country with the highest male ratio is Germany with 1.3% and the country with the highest female ratio is United States with 100.0%

Bar chart showing gender ratios of people named Marlena in percentages: Globally: 0.9% males, 99.1% females, Poland: 1.1% males, 98.9% females, United States: 0.0% males, 100.0% females, United Kingdom: 0.8% males, 99.2% females, Germany: 1.3% males, 98.7% females, Italy: 1.3% males, 98.7% females

Age Distribution

The largest group of people named Marlena are 25-34 years old, making up 50.1% of people with the name. The smallest group are aged 65+.

Doughnut chart showing the proportion of people named Marlena in each age group: 18-24: 4.8%, 25-34: 50.1%, 35-44: 22.5%, 45-54: 12.4%, 55-64: 6.1%, 65+: 4.2%

Popular Countries

The country with the largest proportion of people named Marlena is Poland with 0.1887% of the population. Following is Germany and United Kingdom.

Historic Popularity

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

Line chart showing global proportion of people named Marlena year over year: 1956: 0.0019‰, 1957: 0.0028‰, 1958: 0.0014‰, 1959: 0.0026‰, 1960: 0.0022‰, 1961: 0.0038‰, 1962: 0.0026‰, 1963: 0.0018‰, 1964: 0.0025‰, 1965: 0.0023‰, 1966: 0.0019‰, 1967: 0.0029‰, 1968: 0.0025‰, 1969: 0.0027‰, 1970: 0.003‰, 1971: 0.0026‰, 1972: 0.0028‰, 1973: 0.0035‰, 1974: 0.0047‰, 1975: 0.0065‰, 1976: 0.0055‰, 1977: 0.0066‰, 1978: 0.0068‰, 1979: 0.0065‰, 1980: 0.0051‰, 1981: 0.007‰, 1982: 0.006‰, 1983: 0.0089‰, 1984: 0.0093‰, 1985: 0.0099‰, 1986: 0.0102‰, 1987: 0.0108‰, 1988: 0.012‰, 1989: 0.0125‰, 1990: 0.0124‰, 1991: 0.0175‰, 1992: 0.0224‰, 1993: 0.0244‰, 1994: 0.0308‰, 1995: 0.0389‰, 1996: 0.0375‰, 1997: 0.0273‰, 1998: 0.0095‰, 1999: 0.0013‰, 2000: 0.0022‰

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 .