Cara

Posted on

Cara
<article>
<div>

<div>
<p>
<span>
<i></i> Girl </span>

</p>

<p><b>Cara</b> means: beloved; friend.</p>

</div>

<div>

<hr>

<ul>

</ul>

<div>

<p><img src=”data:image/svg+xml,%3Csvg%20xmlns=%22http://www.w3.org/2000/svg%22%20viewBox=%220%200%20210%20140%22%3E%3C/svg%3E” data-src=”https://www.mamanatural.com/wp-content/uploads/name-images/girls/c/cara-name-meaning-baby-girl-v.gif” alt=”Cara Name Meaning”></p></div>

<h2 id=”popularity” name=”popularity”>Cara Name Popularity</h2>
<p>
How popular is the name <b>Cara</b>? Here’s everything we know.
</p>

<ul id=”name-popularity-tabs”>

</ul>

<div>

<div id=”data”>
<table id=”name-birth-data-table” readabilitydatatable=”1″>

<tr>
<th scope=”col”>Year</th>
<th scope=”col”>Rank</th>
<th scope=”col”># Births</th>
<th scope=”col”>% Births</th>
</tr>

<tr>
<th scope=”row”>1910</th>
<td>863</td>
<td>6</td>
<td>0.0017%</td>
</tr>

<tr>
<th scope=”row”>1911</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1912</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1913</th>
<td>1,102</td>
<td>5</td>
<td>0.0009%</td>
</tr>

<tr>
<th scope=”row”>1914</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1915</th>
<td>1,276</td>
<td>7</td>
<td>0.0008%</td>
</tr>

<tr>
<th scope=”row”>1916</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1917</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1918</th>
<td>1,299</td>
<td>10</td>
<td>0.0009%</td>
</tr>

<tr>
<th scope=”row”>1919</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1920</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1921</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1922</th>
<td>1,294</td>
<td>11</td>
<td>0.001%</td>
</tr>

<tr>
<th scope=”row”>1923</th>
<td>1,578</td>
<td>5</td>
<td>0.0004%</td>
</tr>

<tr>
<th scope=”row”>1924</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1925</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1926</th>
<td>1,233</td>
<td>13</td>
<td>0.0012%</td>
</tr>

<tr>
<th scope=”row”>1927</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1928</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1929</th>
<td>1,281</td>
<td>10</td>
<td>0.001%</td>
</tr>

<tr>
<th scope=”row”>1930</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1931</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1932</th>
<td>1,488</td>
<td>5</td>
<td>0.0005%</td>
</tr>

<tr>
<th scope=”row”>1933</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1934</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1935</th>
<td>1,529</td>
<td>5</td>
<td>0.0005%</td>
</tr>

<tr>
<th scope=”row”>1936</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1937</th>
<td>1,552</td>
<td>5</td>
<td>0.0005%</td>
</tr>

<tr>
<th scope=”row”>1938</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1939</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1940</th>
<td>1,600</td>
<td>5</td>
<td>0.0005%</td>
</tr>

<tr>
<th scope=”row”>1941</th>
<td>1,274</td>
<td>10</td>
<td>0.0009%</td>
</tr>

<tr>
<th scope=”row”>1942</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1943</th>
<td>1,468</td>
<td>7</td>
<td>0.0005%</td>
</tr>

<tr>
<th scope=”row”>1944</th>
<td>&ndash;</td>
<td>0</td>
<td>0%</td>
</tr>

<tr>
<th scope=”row”>1945</th>
<td>1,286</td>
<td>11</td>
<td>0.0009%</td>
</tr>

<tr>
<th scope=”row”>1946</th>
<td>1,399</td>
<td>11</td>
<td>0.0007%</td>
</tr>

<tr>
<th scope=”row”>1947</th>
<td>1,544</td>
<td>10</td>
<td>0.0006%</td>
</tr>

<tr>
<th scope=”row”>1948</th>
<td>1,474</td>
<td>11</td>
<td>0.0007%</td>
</tr>

<tr>
<th scope=”row”>1949</th>
<td>1,057</td>
<td>35</td>
<td>0.0022%</td>
</tr>

<tr>
<th scope=”row”>1950</th>
<td>1,239</td>
<td>21</td>
<td>0.0013%</td>
</tr>

<tr>
<th scope=”row”>1951</th>
<td>1,061</td>
<td>36</td>
<td>0.0021%</td>
</tr>

<tr>
<th scope=”row”>1952</th>
<td>966</td>
<td>50</td>
<td>0.0029%</td>
</tr>

<tr>
<th scope=”row”>1953</th>
<td>1,004</td>
<td>46</td>
<td>0.0026%</td>
</tr>

<tr>
<th scope=”row”>1954</th>
<td>889</td>
<td>70</td>
<td>0.0038%</td>
</tr>

<tr>
<th scope=”row”>1955</th>
<td>873</td>
<td>79</td>
<td>0.0043%</td>
</tr>

<tr>
<th scope=”row”>1956</th>
<td>760</td>
<td>116</td>
<td>0.0061%</td>
</tr>

<tr>
<th scope=”row”>1957</th>
<td>849</td>
<td>96</td>
<td>0.005%</td>
</tr>

<tr>
<th scope=”row”>1958</th>
<td>992</td>
<td>66</td>
<td>0.0035%</td>
</tr>

<tr>
<th scope=”row”>1959</th>
<td>703</td>
<td>152</td>
<td>0.008%</td>
</tr>

<tr>
<th scope=”row”>1960</th>
<td>700</td>
<td>162</td>
<td>0.0086%</td>
</tr>

<tr>
<th scope=”row”>1961</th>
<td>552</td>
<td>275</td>
<td>0.0146%</td>
</tr>

<tr>
<th scope=”row”>1962</th>
<td>460</td>
<td>399</td>
<td>0.0217%</td>
</tr>

<tr>
<th scope=”row”>1963</th>
<td>362</td>
<td>658</td>
<td>0.0367%</td>
</tr>

<tr>
<th scope=”row”>1964</th>
<td>367</td>
<td>627</td>
<td>0.0356%</td>
</tr>

<tr>
<th scope=”row”>1965</th>
<td>272</td>
<td>974</td>
<td>0.0596%</td>
</tr>

<tr>
<th scope=”row”>1966</th>
<td>348</td>
<td>636</td>
<td>0.0407%</td>
</tr>

<tr>
<th scope=”row”>1967</th>
<td>367</td>
<td>563</td>
<td>0.0371%</td>
</tr>

<tr>
<th scope=”row”>1968</th>
<td>415</td>
<td>466</td>
<td>0.031%</td>
</tr>

<tr>
<th scope=”row”>1969</th>
<td>368</td>
<td>595</td>
<td>0.0386%</td>
</tr>

<tr>
<th scope=”row”>1970</th>
<td>348</td>
<td>679</td>
<td>0.0427%</td>
</tr>

<tr>
<th scope=”row”>1971</th>
<td>337</td>
<td>714</td>
<td>0.0475%</td>
</tr>

<tr>
<th scope=”row”>1972</th>
<td>325</td>
<td>689</td>
<td>0.0506%</td>
</tr>

<tr>
<th scope=”row”>1973</th>
<td>285</td>
<td>820</td>
<td>0.0633%</td>
</tr>

<tr>
<th scope=”row”>1974</th>
<td>235</td>
<td>1,044</td>
<td>0.0803%</td>
</tr>

<tr>
<th scope=”row”>1975</th>
<td>204</td>
<td>1,178</td>
<td>0.0917%</td>
</tr>

<tr>
<th scope=”row”>1976</th>
<td>219</td>
<td>1,088</td>
<td>0.0844%</td>
</tr>

<tr>
<th scope=”row”>1977</th>
<td>189</td>
<td>1,388</td>
<td>0.103%</td>
</tr>

<tr>
<th scope=”row”>1978</th>
<td>191</td>
<td>1,330</td>
<td>0.0989%</td>
</tr>

<tr>
<th scope=”row”>1979</th>
<td>209</td>
<td>1,229</td>
<td>0.0872%</td>
</tr>

<tr>
<th scope=”row”>1980</th>
<td>204</td>
<td>1,249</td>
<td>0.0854%</td>
</tr>

<tr>
<th scope=”row”>1981</th>
<td>208</td>
<td>1,239</td>
<td>0.0843%</td>
</tr>

<tr>
<th scope=”row”>1982</th>
<td>204</td>
<td>1,310</td>
<td>0.0877%</td>
</tr>

<tr>
<th scope=”row”>1983</th>
<td>191</td>
<td>1,360</td>
<td>0.0922%</td>
</tr>

<tr>
<th scope=”row”>1984</th>
<td>189</td>
<td>1,430</td>
<td>0.0961%</td>
</tr>

<tr>
<th scope=”row”>1985</th>
<td>183</td>
<td>1,450</td>
<td>0.0955%</td>
</tr>

<tr>
<th scope=”row”>1986</th>
<td>193</td>
<td>1,323</td>
<td>0.0876%</td>
</tr>

<tr>
<th scope=”row”>1987</th>
<td>214</td>
<td>1,212</td>
<td>0.0794%</td>
</tr>

<tr>
<th scope=”row”>1988</th>
<td>204</td>
<td>1,252</td>
<td>0.0803%</td>
</tr>

<tr>
<th scope=”row”>1989</th>
<td>212</td>
<td>1,253</td>
<td>0.0776%</td>
</tr>

<tr>
<th scope=”row”>1990</th>
<td>232</td>
<td>1,190</td>
<td>0.0718%</td>
</tr>

<tr>
<th scope=”row”>1991</th>
<td>222</td>
<td>1,243</td>
<td>0.0763%</td>
</tr>

<tr>
<th scope=”row”>1992</th>
<td>248</td>
<td>1,094</td>
<td>0.0685%</td>
</tr>

<tr>
<th scope=”row”>1993</th>
<td>250</td>
<td>1,087</td>
<td>0.0697%</td>
</tr>

<tr>
<th scope=”row”>1994</th>
<td>272</td>
<td>992</td>
<td>0.0646%</td>
</tr>

<tr>
<th scope=”row”>1995</th>
<td>307</td>
<td>875</td>
<td>0.0581%</td>
</tr>

<tr>
<th scope=”row”>1996</th>
<td>324</td>
<td>832</td>
<td>0.0556%</td>
</tr>

<tr>
<th scope=”row”>1997</th>
<td>346</td>
<td>773</td>
<td>0.0523%</td>
</tr>

<tr>
<th scope=”row”>1998</th>
<td>361</td>
<td>765</td>
<td>0.0511%</td>
</tr>

<tr>
<th scope=”row”>1999</th>
<td>386</td>
<td>699</td>
<td>0.0467%</td>
</tr>

<tr>
<th scope=”row”>2000</th>
<td>392</td>
<td>692</td>
<td>0.0453%</td>
</tr>

<tr>
<th scope=”row”>2001</th>
<td>461</td>
<td>566</td>
<td>0.0376%</td>
</tr>

<tr>
<th scope=”row”>2002</th>
<td>482</td>
<td>550</td>
<td>0.0367%</td>
</tr>

<tr>
<th scope=”row”>2003</th>
<td>511</td>
<td>515</td>
<td>0.0339%</td>
</tr>

<tr>
<th scope=”row”>2004</th>
<td>516</td>
<td>525</td>
<td>0.0344%</td>
</tr>

<tr>
<th scope=”row”>2005</th>
<td>546</td>
<td>485</td>
<td>0.0317%</td>
</tr>

<tr>
<th scope=”row”>2006</th>
<td>551</td>
<td>494</td>
<td>0.0315%</td>
</tr>

<tr>
<th scope=”row”>2007</th>
<td>530</td>
<td>548</td>
<td>0.0347%</td>
</tr>

<tr>
<th scope=”row”>2008</th>
<td>459</td>
<td>647</td>
<td>0.0419%</td>
</tr>

<tr>
<th scope=”row”>2009</th>
<td>452</td>
<td>637</td>
<td>0.0426%</td>
</tr>

<tr>
<th scope=”row”>2010</th>
<td>646</td>
<td>402</td>
<td>0.0279%</td>
</tr>

<tr>
<th scope=”row”>2011</th>
<td>610</td>
<td>422</td>
<td>0.0296%</td>
</tr>

<tr>
<th scope=”row”>2012</th>
<td>689</td>
<td>353</td>
<td>0.0248%</td>
</tr>

<tr>
<th scope=”row”>2013</th>
<td>615</td>
<td>404</td>
<td>0.0284%</td>
</tr>

<tr>
<th scope=”row”>2014</th>
<td>660</td>
<td>373</td>
<td>0.0256%</td>
</tr>

<tr>
<th scope=”row”>2015</th>
<td>723</td>
<td>326</td>
<td>0.0224%</td>
</tr>

<tr>
<th scope=”row”>2016</th>
<td>750</td>
<td>313</td>
<td>0.0217%</td>
</tr>

<tr>
<th scope=”row”>2017</th>
<td>834</td>
<td>251</td>
<td>0.018%</td>
</tr>

<tr>
<th scope=”row”>2018</th>
<td>817</td>
<td>256</td>
<td>0.0186%</td>
</tr>

<tr>
<th scope=”row”>2019</th>
<td>964</td>
<td>185</td>
<td>0.0137%</td>
</tr>

<tr>
<th scope=”row”>2020</th>
<td>916</td>
<td>229</td>
<td>0.018%</td>
</tr>

<tr>
<th scope=”row”>2021</th>
<td>1,023</td>
<td>178</td>
<td>0.0146%</td>
</tr>

<tr>
<th scope=”row”>2022</th>
<td>1,139</td>
<td>161</td>
<td>0.0122%</td>
</tr>

<tr>
<th scope=”row”>2023</th>
<td>1,300</td>
<td>123</td>
<td>0.0095%</td>
</tr>

</table>
</div>

<div id=”state”>
<canvas id=”state-chart-dc” width=”160″ height=”40″ data-locality=”US_DC” data-chart_values=”[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 8, 6, 5, 7, 0, 5, 0, 0, 6, 7, 9, 0, 9, 6, 9, 5, 0, 8, 9, 6, 13, 7, 0, 6, 0, 0, 9, 10, 6, 5, 8, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]” data-chart_labels='[“1910”, “1911”, “1912”, “1913”, “1914”, “1915”, “1916”, “1917”, “1918”, “1919”, “1920”, “1921”, “1922”, “1923”, “1924”, “1925”, “1926”, “1927”, “1928”, “1929”, “1930”, “1931”, “1932”, “1933”, “1934”, “1935”, “1936”, “1937”, “1938”, “1939”, “1940”, “1941”, “1942”, “1943”, “1944”, “1945”, “1946”, “1947”, “1948”, “1949”, “1950”, “1951”, “1952”, “1953”, “1954”, “1955”, “1956”, “1957”, “1958”, “1959”, “1960”, “1961”, “1962”, “1963”, “1964”, “1965”, “1966”, “1967”, “1968”, “1969”, “1970”, “1971”, “1972”, “1973”, “1974”, “1975”, “1976”, “1977”, “1978”, “1979”, “1980”, “1981”, “1982”, “1983”, “1984”, “1985”, “1986”, “1987”, “1988”, “1989”, “1990”, “1991”, “1992”, “1993”, “1994”, “1995”, “1996”, “1997”, “1998”, “1999”, “2000”, “2001”, “2002”, “2003”, “2004”, “2005”, “2006”, “2007”, “2008”, “2009”, “2010”, “2011”, “2012”, “2013”, “2014”, “2015”, “2016”, “2017”, “2018”, “2019”, “2020”, “2021”, “2022”, “2023”]’ data-chart_color=”rgba(235, 39, 156, 0.5)”>
</canvas>
<p><small>District of Columbia <small>(DC)</small></small></p>
</div>
</div>

<p>
Data via <a href=”https://www.ssa.gov/oact/babynames/limits.html” target=”_blank”>SSA.gov</a>.
</p>

<hr>

<h2 id=”alternatives” name=”alternatives”>Names Like Cara</h2>
<p>If you like <b>Cara</b>, you’ll love these other names like <b>Cara</b>.</p>
<hr>
<h3>What names are variants of Cara?</h3>
<p>Mix it up with these names that are a variation of the name <b>Cara</b>.</p>
<table readabilitydatatable=”1″>

<tr>
<th scope=”col”>Name</th>
<th scope=”col”>Meaning</th>
<th scope=”col”>Origin</th>
<th scope=”col”>Popularity</th>