1. Home
  2. Popular Names
  3. Gerda

Gender Distribution

The gender distribution of people named Gerda globally is 0.6% males and 99.4% females. The country with the highest male ratio is Germany with 1.5% and the country with the highest female ratio is United States with 100.0%

Bar chart showing gender ratios of people named Gerda in percentages: Globally: 0.6% males, 99.4% females, Netherlands: 0.5% males, 99.5% females, Belgium: 0.3% males, 99.7% females, Germany: 1.5% males, 98.5% females, South Africa: 0.4% males, 99.6% females, Austria: 0.5% males, 99.5% females, United States: 0.0% males, 100.0% females, Denmark: 0.2% males, 99.8% females, Lithuania: 0.3% males, 99.7% females

Age Distribution

The largest group of people named Gerda are 65+ years old, making up 58.7% of people with the name. The smallest group are aged 35-44.

Doughnut chart showing the proportion of people named Gerda in each age group: 25-34: 3.0%, 35-44: 3.0%, 45-54: 6.3%, 55-64: 29.1%, 65+: 58.7%

The country with the largest proportion of people named Gerda is Netherlands with 0.1142% of the population. Following is Lithuania and Austria.

Historic Popularity

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

Line chart showing global proportion of people named Gerda year over year: 1956: 0.0211‰, 1957: 0.0152‰, 1958: 0.0176‰, 1959: 0.0149‰, 1960: 0.0137‰, 1961: 0.0122‰, 1962: 0.0129‰, 1963: 0.0133‰, 1964: 0.0108‰, 1965: 0.0083‰, 1966: 0.0079‰, 1967: 0.0077‰, 1968: 0.0067‰, 1969: 0.0045‰, 1970: 0.0035‰, 1971: 0.0036‰, 1972: 0.0025‰, 1973: 0.0024‰, 1974: 0.0021‰, 1975: 0.0014‰, 1976: 0.0016‰, 1977: 0.0015‰, 1978: 0.0013‰, 1979: 0.0012‰, 1980: 0.0011‰, 1981: 0.0011‰, 1982: 0.0009‰, 1983: 0.0012‰, 1984: 0.0009‰, 1985: 0.0009‰, 1986: 0.0009‰, 1987: 0.0007‰, 1988: 0.0009‰, 1989: 0.0008‰, 1990: 0.0008‰, 1991: 0.0011‰, 1992: 0.0009‰, 1993: 0.001‰, 1994: 0.0007‰, 1995: 0.0014‰, 1996: 0.001‰, 1997: 0.0008‰, 1998: 0.0026‰, 1999: 0.0003‰

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 .