Penelope Overview
Penelope Variations in Different Cultures
What Is the Meaning of Penelope?
Penelope, a name of Greek origin meaning “weaver,” comes from the Greek name Penelops. It refers to a type of duck, symbolizing resourcefulness and loyalty.
What Is the Origin of The Name Penelope?
Penelope has ancient Greek origins. It is most famously associated with the wife of Odysseus in Homer’s epic, “The Odyssey.” Penelope is celebrated for her loyalty and cleverness, waiting for twenty years for Odysseus’s return from the Trojan War. The name has been used in various cultures and has retained its classic appeal throughout the centuries.
Penelope Name Popularity
Annual Statistics Breakdown for Penelope
Year | Name Ranking | Number of Births | Birth Rate (%) |
---|---|---|---|
2023 | 23 (-2 from 2022) | 6041 (-379 from 2022) | 0.34536 |
2022 | 21 (+2 from 2021) | 6420 (+60 from 2021) | 0.35805 |
2021 | 23 (+2 from 2020) | 6360 (+213 from 2020) | 0.35500 |
2020 | 25 (-3 from 2019) | 6147 (-586 from 2019) | 0.34774 |
2019 | 22 (+4 from 2018) | 6733 (+210 from 2018) | 0.36695 |
2018 | 26 (-2 from 2017) | 6523 (-143 from 2017) | 0.35076 |
2017 | 24 (+3 from 2016) | 6666 (+270 from 2016) | 0.35286 |
2016 | 27 (+7 from 2015) | 6396 (+445 from 2015) | 0.33039 |
2015 | 34 (+9 from 2014) | 5951 (+863 from 2014) | 0.30504 |
2014 | 43 (+13 from 2013) | 5088 (+797 from 2013) | 0.26008 |
2013 | 56 (+69 from 2012) | 4291 (+1755 from 2012) | 0.22260 |
2012 | 125 (+43 from 2011) | 2536 (+665 from 2011) | 0.13076 |
2011 | 168 (+32 from 2010) | 1871 (+324 from 2010) | 0.09656 |
2010 | 200 (+52 from 2009) | 1547 (+250 from 2009) | 0.07890 |
2009 | 252 (+107 from 2008) | 1297 (+378 from 2008) | 0.06405 |
2008 | 359 (+50 from 2007) | 919 (+123 from 2007) | 0.04412 |
2007 | 409 (+73 from 2006) | 796 (+147 from 2006) | 0.03761 |
2006 | 482 (+76 from 2005) | 649 (+136 from 2005) | 0.03104 |
2005 | 558 (+88 from 2004) | 513 (+89 from 2004) | 0.02528 |
2004 | 646 (+66 from 2003) | 424 (+57 from 2003) | 0.02101 |
2003 | 712 (+4 from 2002) | 367 (+21 from 2002) | 0.01829 |
2002 | 716 (+224 from 2001) | 346 (+111 from 2001) | 0.01752 |
2001 | 940 (+472 from 2000) | 235 (+104 from 2000) | 0.01186 |
2000 | 1412 (+224 from 1999) | 131 (+29 from 1999) | 0.00656 |
1999 | 1636 (-178 from 1998) | 102 (-15 from 1998) | 0.00524 |
1998 | 1458 (+147 from 1997) | 117 (+18 from 1997) | 0.00604 |
1997 | 1605 (+200 from 1996) | 99 (+18 from 1996) | 0.00519 |
1996 | 1805 (-207 from 1995) | 81 (-13 from 1995) | 0.00422 |
1995 | 1598 (+504 from 1994) | 94 (+29 from 1994) | 0.00489 |
1994 | 2102 (+249 from 1993) | 65 (+11 from 1993) | 0.00333 |
1993 | 2351 (-223 from 1992) | 54 (-9 from 1992) | 0.00274 |
1992 | 2128 (+35 from 1991) | 63 (+2 from 1991) | 0.00314 |
1991 | 2163 (+11 from 1990) | 61 (+2 from 1990) | 0.00300 |
1990 | 2174 (+484 from 1989) | 59 (+17 from 1989) | 0.00287 |
1989 | 2658 (-329 from 1988) | 42 (-5 from 1988) | 0.00211 |
1988 | 2329 (-491 from 1987) | 47 (-16 from 1987) | 0.00244 |
1987 | 1838 (+165 from 1986) | 63 (+9 from 1986) | 0.00336 |
1986 | 2003 (-55 from 1985) | 54 (-2 from 1985) | 0.00293 |
1985 | 1948 (-135 from 1984) | 56 (-3 from 1984) | 0.00303 |
1984 | 1813 (-169 from 1983) | 59 (-8 from 1983) | 0.00327 |
1983 | 1644 (+141 from 1982) | 67 (+6 from 1982) | 0.00374 |
1982 | 1785 (-256 from 1981) | 61 (-17 from 1981) | 0.00336 |
1981 | 1529 (-69 from 1980) | 78 (-5 from 1980) | 0.00436 |
1980 | 1460 (-200 from 1979) | 83 (-18 from 1979) | 0.00466 |
1979 | 1260 (-91 from 1978) | 101 (-7 from 1978) | 0.00586 |
1978 | 1169 (-81 from 1977) | 108 (-11 from 1977) | 0.00657 |
1977 | 1088 (-61 from 1976) | 119 (-2 from 1976) | 0.00723 |
1976 | 1027 (-187 from 1975) | 121 (-39 from 1975) | 0.00770 |
1975 | 840 (-81 from 1974) | 160 (-24 from 1974) | 0.01025 |
1974 | 759 (-89 from 1973) | 184 (-38 from 1973) | 0.01175 |
1973 | 670 (+6 from 1972) | 222 (+3 from 1972) | 0.01428 |
1972 | 676 (+56 from 1971) | 219 (+14 from 1971) | 0.01358 |
1971 | 732 (-161 from 1970) | 205 (-110 from 1970) | 0.01170 |
1970 | 571 (-40 from 1969) | 315 (-30 from 1969) | 0.01720 |
1969 | 531 (+38 from 1968) | 345 (+63 from 1968) | 0.01957 |
1968 | 569 (+27 from 1967) | 282 (+27 from 1967) | 0.01649 |
1967 | 596 (+45 from 1966) | 255 (+32 from 1966) | 0.01485 |
1966 | 641 (-54 from 1965) | 223 (-41 from 1965) | 0.01270 |
1965 | 587 (+27 from 1964) | 264 (-2 from 1964) | 0.01445 |
1964 | 614 (-74 from 1963) | 266 (-56 from 1963) | 0.01359 |
1963 | 540 (+44 from 1962) | 322 (+36 from 1962) | 0.01620 |
1962 | 584 (-19 from 1961) | 286 (-24 from 1961) | 0.01411 |
1961 | 565 (-18 from 1960) | 310 (-6 from 1960) | 0.01492 |
1960 | 547 (-52 from 1959) | 316 (-72 from 1959) | 0.01519 |
1959 | 495 (-11 from 1958) | 388 (+1 from 1958) | 0.01867 |
1958 | 484 (-24 from 1957) | 387 (-35 from 1957) | 0.01873 |
1957 | 460 (+19 from 1956) | 422 (+42 from 1956) | 0.02011 |
1956 | 479 (-44 from 1955) | 380 (-39 from 1955) | 0.01845 |
1955 | 435 (-40 from 1954) | 419 (-63 from 1954) | 0.02090 |
1954 | 395 (-29 from 1953) | 482 (-55 from 1953) | 0.02421 |
1953 | 366 (-6 from 1952) | 537 (+8 from 1952) | 0.02783 |
1952 | 360 (-28 from 1951) | 529 (-39 from 1951) | 0.02781 |
1951 | 332 (-27 from 1950) | 568 (-78 from 1950) | 0.03075 |
1950 | 305 (-8 from 1949) | 646 (-33 from 1949) | 0.03674 |
1949 | 297 (-22 from 1948) | 679 (-103 from 1948) | 0.03868 |
1948 | 275 (-4 from 1947) | 782 (-14 from 1947) | 0.04487 |
1947 | 271 (+18 from 1946) | 796 (+155 from 1946) | 0.04379 |
1946 | 289 (+15 from 1945) | 641 (+132 from 1945) | 0.03974 |
1945 | 304 (-39 from 1944) | 509 (-169 from 1944) | 0.03781 |
1944 | 265 (+10 from 1943) | 678 (+35 from 1943) | 0.04961 |
1943 | 275 (-8 from 1942) | 643 (-27 from 1942) | 0.04480 |
1942 | 267 (+6 from 1941) | 670 (+124 from 1941) | 0.04819 |
1941 | 273 (+27 from 1940) | 546 (+107 from 1940) | 0.04382 |
1940 | 300 (+25 from 1939) | 439 (+71 from 1939) | 0.03716 |
1939 | 325 (+161 from 1938) | 368 (+180 from 1938) | 0.03245 |
1938 | 486 (+15 from 1937) | 188 (+15 from 1937) | 0.01647 |
1937 | 501 (+151 from 1936) | 173 (+71 from 1936) | 0.01570 |
1936 | 652 (+171 from 1935) | 102 (+33 from 1935) | 0.00947 |
1935 | 823 (+239 from 1934) | 69 (+26 from 1934) | 0.00635 |
1934 | 1062 (+40 from 1933) | 43 (+3 from 1933) | 0.00397 |
1933 | 1102 (-47 from 1932) | 40 (-5 from 1932) | 0.00382 |
1932 | 1055 (+120 from 1931) | 45 (+8 from 1931) | 0.00407 |
1931 | 1175 (-58 from 1930) | 37 (-7 from 1930) | 0.00335 |
1930 | 1117 (+2 from 1929) | 44 (+1 from 1929) | 0.00377 |
1929 | 1119 (-50 from 1928) | 43 (-6 from 1928) | 0.00371 |
1928 | 1069 (-59 from 1927) | 49 (-8 from 1927) | 0.00410 |
1927 | 1010 (-79 from 1926) | 57 (-7 from 1926) | 0.00461 |
1926 | 931 (-18 from 1925) | 64 (-2 from 1925) | 0.00520 |
1925 | 913 (+28 from 1924) | 66 (+1 from 1924) | 0.00523 |
1924 | 941 (+35 from 1923) | 65 (+7 from 1923) | 0.00502 |
1923 | 976 (-27 from 1922) | 58 (-3 from 1922) | 0.00463 |
1922 | 949 (+187 from 1921) | 61 (+16 from 1921) | 0.00489 |
1921 | 1136 (-131 from 1920) | 45 (-9 from 1920) | 0.00352 |
1920 | 1005 (+21 from 1919) | 54 (+5 from 1919) | 0.00434 |
1919 | 1026 (+76 from 1918) | 49 (+5 from 1918) | 0.00417 |
1918 | 1102 (+179 from 1917) | 44 (+12 from 1917) | 0.00366 |
1917 | 1281 (-114 from 1916) | 32 (-5 from 1916) | 0.00285 |
1916 | 1167 (+91 from 1915) | 37 (+6 from 1915) | 0.00341 |
1915 | 1258 (+407 from 1914) | 31 (+15 from 1914) | 0.00303 |
1914 | 1665 (+5 from 1913) | 16 (+3 from 1913) | 0.00201 |
1913 | 1670 (+49 from 1912) | 13 (+2 from 1912) | 0.00198 |
1912 | 1719 (+237 from 1911) | 11 (+4 from 1911) | 0.00187 |
1911 | 1956 (-183 from 1910) | 7 (-1 from 1910) | 0.00158 |
1910 | 1773 (-166 from 1909) | 8 No change from 1909 | 0.00191 |
1909 | 1607 (+454 from 1907) | 8 (+3 from 1907) | 0.00217 |
1908 | 0 No SSA data | 0 No SSA data | 0.0000 |
1907 | 2061 (-110 from 1906) | 5 No change from 1906 | 0.00148 |
1906 | 1951 (-158 from 1902) | 5 No change from 1902 | 0.00160 |
1905 | 0 No SSA data | 0 No SSA data | 0.0000 |
1904 | 0 No SSA data | 0 No SSA data | 0.0000 |
1903 | 0 No SSA data | 0 No SSA data | 0.0000 |
1902 | 1793 (-70 from 1900) | 5 (-1 from 1900) | 0.00178 |
1901 | 0 No SSA data | 0 No SSA data | 0.0000 |
1900 | 1723 (-23 from 1898) | 6 (+1 from 1898) | 0.00189 |
1899 | 0 No SSA data | 0 No SSA data | 0.0000 |
1898 | 1700 (-284 from 1896) | 5 (-1 from 1896) | 0.00182 |
1897 | 0 No SSA data | 0 No SSA data | 0.0000 |
1896 | 1416 (+176 from 1895) | 6 (+1 from 1895) | 0.00238 |
1895 | 1592 (-315 from 1893) | 5 (-1 from 1893) | 0.00202 |
1894 | 0 No SSA data | 0 No SSA data | 0.0000 |
1893 | 1277 (-334 from 1891) | 6 (-3 from 1891) | 0.00266 |
1892 | 0 No SSA data | 0 No SSA data | 0.0000 |
1891 | 943 (+395 from 1890) | 9 (+4 from 1890) | 0.00458 |
1890 | 1338 (-388 from 1889) | 5 (-3 from 1889) | 0.00248 |
1889 | 950 (+9 from 1888) | 8 No change from 1888 | 0.00423 |
1888 | 959 (-62 from 1886) | 8 (+1 from 1886) | 0.00422 |
1887 | 0 No SSA data | 0 No SSA data | 0.0000 |
1886 | 897 (-80 from 1883) | 7 (+1 from 1883) | 0.00455 |
1885 | 0 No SSA data | 0 No SSA data | 0.0000 |
1884 | 0 No SSA data | 0 No SSA data | 0.0000 |
1883 | 817 (+19 from 1880) | 6 (+1 from 1880) | 0.00500 |
1882 | 0 No SSA data | 0 No SSA data | 0.0000 |
1881 | 0 No SSA data | 0 No SSA data | 0.0000 |
1880 | 836 First SSA data recorded | 5 First SSA data recorded | 0.00512 |
American States Popularity Rankings for Penelope
(From the Most to Least Popular, Based on Number of Births )California (CA)
California (CA) | #202021 | #152022 | #172023 |
Texas (TX)
Texas (TX) | #222021 | #262022 | #292023 |
New York (NY)
New York (NY) | #282021 | #282022 | #322023 |
Florida (FL)
Florida (FL) | #242021 | #202022 | #292023 |
Illinois (IL)
Illinois (IL) | #242021 | #162022 | #202023 |
Ohio (OH)
Ohio (OH) | #212021 | #242022 | #302023 |
Pennsylvania (PA)
Pennsylvania (PA) | #172021 | #172022 | #272023 |
Michigan (MI)
Michigan (MI) | #202021 | #202022 | #162023 |
Washington (WA)
Washington (WA) | #172021 | #142022 | #212023 |
New Jersey (NJ)
New Jersey (NJ) | #362021 | #292022 | #312023 |
Arizona (AZ)
Arizona (AZ) | #112021 | #142022 | #152023 |
Massachusetts (MA)
Massachusetts (MA) | #222021 | #272022 | #242023 |
North Carolina (NC)
North Carolina (NC) | #342021 | #532022 | #412023 |
Virginia (VA)
Virginia (VA) | #332021 | #282022 | #382023 |
Georgia (GA)
Georgia (GA) | #522021 | #462022 | #482023 |
Indiana (IN)
Indiana (IN) | #292021 | #242022 | #212023 |
Wisconsin (WI)
Wisconsin (WI) | #312021 | #262022 | #282023 |
Missouri (MO)
Missouri (MO) | #192021 | #242022 | #302023 |
Colorado (CO)
Colorado (CO) | #262021 | #182022 | #142023 |
Minnesota (MN)
Minnesota (MN) | #402021 | #372022 | #212023 |
Oregon (OR)
Oregon (OR) | #192021 | #102022 | #132023 |
Tennessee (TN)
Tennessee (TN) | #532021 | #622022 | #572023 |
Maryland (MD)
Maryland (MD) | #372021 | #352022 | #312023 |
Connecticut (CT)
Connecticut (CT) | #132021 | #242022 | #112023 |
Utah (UT)
Utah (UT) | #252021 | #312022 | #332023 |
Kentucky (KY)
Kentucky (KY) | #342021 | #442022 | #462023 |
Oklahoma (OK)
Oklahoma (OK) | #322021 | #252022 | #482023 |
Iowa (IA)
Iowa (IA) | #532021 | #252022 | #452023 |
South Carolina (SC)
South Carolina (SC) | #512021 | #442022 | #492023 |
Louisiana (LA)
Louisiana (LA) | #722021 | #672022 | #532023 |
Alabama (AL)
Alabama (AL) | #1012021 | #542022 | #682023 |
Kansas (KS)
Kansas (KS) | #412021 | #502022 | #172023 |
Nevada (NV)
Nevada (NV) | #162021 | #192022 | #232023 |
Nebraska (NE)
Nebraska (NE) | #332021 | #262022 | #172023 |
Arkansas (AR)
Arkansas (AR) | #442021 | #602022 | #342023 |
New Mexico (NM)
New Mexico (NM) | #202021 | #202022 | #422023 |
Maine (ME)
Maine (ME) | #142021 | #252022 | #232023 |
Idaho (ID)
Idaho (ID) | #352021 | #302022 | #112023 |
West Virginia (WV)
West Virginia (WV) | #522021 | #482022 | #522023 |
District of Columbia (DC)
District of Columbia (DC) | #242021 | #162022 | #282023 |
New Hampshire (NH)
New Hampshire (NH) | #232021 | #242022 | #412023 |
Mississippi (MS)
Mississippi (MS) | #912021 | #1152022 | #962023 |
Rhode Island (RI)
Rhode Island (RI) | #162021 | #312022 | #122023 |
Alaska (AK)
Alaska (AK) | #292021 | #72022 | #62023 |
Hawaii (HI)
Hawaii (HI) | #512021 | #452022 | #462023 |
Montana (MT)
Montana (MT) | #862021 | #552022 | #402023 |
North Dakota (ND)
North Dakota (ND) | #642021 | #812022 | #332023 |
Delaware (DE)
Delaware (DE) | #402021 | #392022 | #122023 |
South Dakota (SD)
South Dakota (SD) | #532021 | #1562022 | #1002023 |
Vermont (VT)
Vermont (VT) | #212021 | #352022 | #622023 |
Wyoming (WY)
Wyoming (WY) | #762021 | #312022 | #712023 |
Popularity Rankings for Penelope in other Countries and American Territories
(From the Most to Least Popular, Based on Rankings)
Popularity in Other American Territories
American Samoa
Guam
Northern Mariana Islands
U.S. Virgin Islands
Other American Territories | #402016 | #292018 |
Popularity in England and Wales
England and Wales | #412019 | #442020 | #382021 |
Popularity in Canada
Canada | #452021 | #382022 | #452023 |
Popularity in Australia (NSW)
Australia (NSW) | #432021 | #452022 | #402023 |
Popularity in New Zealand
New Zealand | #542021 | #592022 | #452023 |
Popularity in Scotland
Scotland | #812021 | #832022 | #862023 |
Popularity in Puerto Rico
Puerto Rico | #912021 | #1382022 | #2082023 |
Popularity in Northern Ireland
Northern Ireland | #1162021 | #1142022 | #992023 |
Popularity in Quebec, Canada
Quebec, Canada | #1082020 | #1222021 | #1122022 |
Popularity in Ireland
Ireland | #1602021 | #1572022 | #1432023 |
Popularity in Iceland
Iceland | #2972022 |
Popularity in Poland
Poland | #5692016 | #4912017 | #3972021 |
Popularity in Switzerland
Switzerland | #4292020 | #4252021 | #6022022 |
Popularity in Germany
Germany | #4582021 | #4632022 | #4742023 |
Popularity in Sweden
Sweden | #7742023 |
Source: Social Security Administration (SSA) and Other National Sources
Is Penelope a Name for Boys or Girls?
Penelope is well-suited for girls because of its classic charm and strong association with the loyal and intelligent figure from Greek mythology.
Helen Doanna
Editor in Chief, Educational Specialist, and Senior Content Creator
Expertise
Child Development Specialist, Child-care Coordinator, Family Support Specialist, Content Writer, Communications Specialist, Educational Consultant, STEAM Teacher
Education
1. University of Social Science and Humanity, Ho Chi Minh City, Vietnam
2. University of Social Science and Humanity, Ho Chi Minh City, Vietnam
3. Oregon State University, Oregan, US
Helen is an experienced educational specialist and content creator, known for her innovative approach to children’s learning. With a background in literature and child development, she composes engaging educational content for SimpleKids.net. Her work emphasizes creativity, engagement, and simplicity, aiming to make learning enjoyable and accessible for children and their families.