<article>
<div>
<div>
<p>
<span>
<i></i> Boy
</span>
</p>
<p>“He who rules with the spear,” from the Germanic *ger* (spear) and *waldan* (to rule).</p>
</div>
<div>
<hr>
<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/boys/g/gerald-name-meaning-baby-boy-v.gif”
alt=”Gerald Name Meaning”>
</p>
</div>
<h2 id=”popularity” name=”popularity”>Gerald Name Popularity</h2>
<p>How popular is the name <b>Gerald</b>? Here’s everything we know.</p>
<div>
<div id=”data”>
<table id=”name-birth-data-table” readabilitydatatable=”1″>
<thead>
<tr>
<th scope=”col”>Year</th>
<th scope=”col”>Rank</th>
<th scope=”col”># Births</th>
<th scope=”col”>% Births</th>
</tr>
</thead>
<tbody>
<tr>
<th scope=”row”>1910</th>
<td>111</td>
<td>242</td>
<td>0.0687%</td>
</tr>
<tr>
<th scope=”row”>1911</th>
<td>90</td>
<td>406</td>
<td>0.109%</td>
</tr>
<tr>
<th scope=”row”>1912</th>
<td>87</td>
<td>895</td>
<td>0.1775%</td>
</tr>
<tr>
<th scope=”row”>1913</th>
<td>84</td>
<td>1,112</td>
<td>0.1961%</td>
</tr>
<tr>
<th scope=”row”>1914</th>
<td>81</td>
<td>1,450</td>
<td>0.2081%</td>
</tr>
<tr>
<th scope=”row”>1915</th>
<td>78</td>
<td>2,076</td>
<td>0.2285%</td>
</tr>
<tr>
<th scope=”row”>1916</th>
<td>76</td>
<td>2,245</td>
<td>0.2324%</td>
</tr>
<tr>
<th scope=”row”>1917</th>
<td>70</td>
<td>2,464</td>
<td>0.2463%</td>
</tr>
<tr>
<th scope=”row”>1918</th>
<td>71</td>
<td>2,705</td>
<td>0.252%</td>
</tr>
<tr>
<th scope=”row”>1919</th>
<td>70</td>
<td>2,684</td>
<td>0.2563%</td>
</tr>
<tr>
<th scope=”row”>1920</th>
<td>64</td>
<td>3,153</td>
<td>0.2836%</td>
</tr>
<tr>
<th scope=”row”>1921</th>
<td>60</td>
<td>3,373</td>
<td>0.2946%</td>
</tr>
<tr>
<th scope=”row”>1922</th>
<td>58</td>
<td>3,534</td>
<td>0.3172%</td>
</tr>
<tr>
<th scope=”row”>1923</th>
<td>54</td>
<td>3,684</td>
<td>0.3289%</td>
</tr>
<tr>
<th scope=”row”>1924</th>
<td>49</td>
<td>4,144</td>
<td>0.3569%</td>
</tr>
<tr>
<th scope=”row”>1925</th>
<td>45</td>
<td>4,494</td>
<td>0.3976%</td>
</tr>
<tr>
<th scope=”row”>1926</th>
<td>41</td>
<td>5,114</td>
<td>0.465%</td>
</tr>
<tr>
<th scope=”row”>1927</th>
<td>38</td>
<td>5,509</td>
<td>0.4977%</td>
</tr>
<tr>
<th scope=”row”>1928</th>
<td>41</td>
<td>5,480</td>
<td>0.5122%</td>
</tr>
<tr>
<th scope=”row”>1929</th>
<td>33</td>
<td>5,960</td>
<td>0.5754%</td>
</tr>
<tr>
<th scope=”row”>1930</th>
<td>30</td>
<td>6,479</td>
<td>0.6203%</td>
</tr>
<tr>
<th scope=”row”>1931</th>
<td>26</td>
<td>6,819</td>
<td>0.6909%</td>
</tr>
<tr>
<th scope=”row”>1932</th>
<td>24</td>
<td>7,339</td>
<td>0.7428%</td>
</tr>
<tr>
<th scope=”row”>1933</th>
<td>22</td>
<td>7,419</td>
<td>0.7963%</td>
</tr>
<tr>
<th scope=”row”>1934</th>
<td>22</td>
<td>7,817</td>
<td>0.8086%</td>
</tr>
<tr>
<th scope=”row”>1935</th>
<td>21</td>
<td>8,449</td>
<td>0.8694%</td>
</tr>
<tr>
<th scope=”row”>1936</th>
<td>19</td>
<td>9,018</td>
<td>0.9362%</td>
</tr>
<tr>
<th scope=”row”>1937</th>
<td>20</td>
<td>9,421</td>
<td>0.9561%</td>
</tr>
<tr>
<th scope=”row”>1938</th>
<td>19</td>
<td>9,969</td>
<td>0.9738%</td>
</tr>
<tr>
<th scope=”row”>1939</th>
<td>19</td>
<td>10,048</td>
<td>0.9878%</td>
</tr>
<tr>
<th scope=”row”>1940</th>
<td>21</td>
<td>10,241</td>
<td>0.9635%</td>
</tr>
<tr>
<th scope=”row”>1941</th>
<td>20</td>
<td>10,938</td>
<td>0.9718%</td>
</tr>
<tr>
<th scope=”row”>1942</th>
<td>22</td>
<td>11,477</td>
<td>0.9089%</td>
</tr>
<tr>
<th scope=”row”>1943</th>
<td>23</td>
<td>11,355</td>
<td>0.8698%</td>
</tr>
<tr>
<th scope=”row”>1944</th>
<td>24</td>
<td>10,019</td>
<td>0.8084%</td>
</tr>
<tr>
<th scope=”row”>1945</th>
<td>25</td>
<td>8,855</td>
<td>0.7261%</td>
</tr>
<tr>
<th scope=”row”>1946</th>
<td>27</td>
<td>10,026</td>
<td>0.6795%</td>
</tr>
<tr>
<th scope=”row”>1947</th>
<td>28</td>
<td>10,750</td>
<td>0.644%</td>
</tr>
<tr>
<th scope=”row”>1948</th>
<td>30</td>
<td>9,845</td>
<td>0.6167%</td>
</tr>
<tr>
<th scope=”row”>1949</th>
<td>33</td>
<td>9,805</td>
<td>0.6095%</td>
</tr>
<tr>
<th scope=”row”>1950</th>
<td>34</td>
<td>9,719</td>
<td>0.6036%</td>
</tr>
<tr>
<th scope=”row”>1951</th>
<td>36</td>
<td>9,540</td>
<td>0.5627%</td>
</tr>
<tr>
<th scope=”row”>1952</th>
<td>39</td>
<td>9,035</td>
<td>0.5176%</td>
</tr>
<tr>
<th scope=”row”>1953</th>
<td>42</td>
<td>8,614</td>
<td>0.4867%</td>
</tr>
<tr>
<th scope=”row”>1954</th>
<td>44</td>
<td>8,541</td>
<td>0.4672%</td>
</tr>
<tr>
<th scope=”row”>1955</th>
<td>48</td>
<td>8,069</td>
<td>0.4387%</td>
</tr>
<tr>
<th scope=”row”>1956</th>
<td>49</td>
<td>7,979</td>
<td>0.4225%</td>
</tr>
<tr>
<th scope=”row”>1957</th>
<td>51</td>
<td>7,593</td>
<td>0.3946%</td>
</tr>
<tr>
<th scope=”row”>1958</th>
<td>58</td>
<td>6,858</td>
<td>0.3629%</td>
</tr>
<tr>
<th scope=”row”>1959</th>
<td>61</td>
<td>6,634</td>
<td>0.3492%</td>
</tr>
<tr>
<th scope=”row”>1960</th>
<td>62</td>
<td>6,561</td>
<td>0.3463%</td>
</tr>
<tr>
<th scope=”row”>1961</th>
<td>62</td>
<td>6,624</td>
<td>0.3509%</td>
</tr>
<tr>
<th scope=”row”>1962</th>
<td>64</td>
<td>6,233</td>
<td>0.3395%</td>
</tr>
<tr>
<th scope=”row”>1963</th>
<td>60</td>
<td>6,160</td>
<td>0.3432%</td>
</tr>
<tr>
<th scope=”row”>1964</th>
<td>60</td>
<td>5,870</td>
<td>0.3335%</td>
</tr>
<tr>
<th scope=”row”>1965</th>
<td>64</td>
<td>5,256</td>
<td>0.3214%</td>
</tr>
<tr>
<th scope=”row”>1966</th>
<td>60</td>
<td>4,862</td>
<td>0.3114%</td>
</tr>
<tr>
<th scope=”row”>1967</th>
<td>59</td>
<td>4,872</td>
<td>0.321%</td>
</tr>
<tr>
<th scope=”row”>1968</th>
<td>62</td>
<td>4,475</td>
<td>0.298%</td>
</tr>
<tr>
<th scope=”row”>1969</th>
<td>65</td>
<td>4,386</td>
<td>0.2847%</td>
</tr>
<tr>
<th scope=”row”>1970</th>
<td>66</td>
<td>4,402</td>
<td>0.2766%</td>
</tr>
<tr>
<th scope=”row”>1971</th>
<td>83</td>
<td>3,592</td>
<td>0.239%</td>
</tr>
<tr>
<th scope=”row”>1972</th>
<td>100</td>
<td>2,821</td>
<td>0.2071%</td>
</tr>
<tr>
<th scope=”row”>1973</th>
<td>102</td>
<td>2,584</td>
<td>0.1993%</td>
</tr>
<tr>
<th scope=”row”>1974</th>
<td>107</td>
<td>2,405</td>
<td>0.185%</td>
</tr>
<tr>
<th scope=”row”>1975</th>
<td>108</td>
<td>2,393</td>
<td>0.1862%</td>
</tr>
<tr>
<th scope=”row”>1976</th>
<td>120</td>
<td>2,128</td>
<td>0.1651%</td>
</tr>
<tr>
<th scope=”row”>1977</th>
<td>131</td>
<td>2,034</td>
<td>0.1509%</td>
</tr>
<tr>
<th scope=”row”>1978</th>
<td>139</td>
<td>1,874</td>
<td>0.1394%</td>
</tr>
<tr>
<th scope=”row”>1979</th>
<td>143</td>
<td>1,855</td>
<td>0.1316%</td>
</tr>
<tr>
<th scope=”row”>1980</th>
<td>147</td>
<td>1,799</td>
<td>0.123%</td>
</tr>
<tr>
<th scope=”row”>1981</th>
<td>155</td>
<td>1,746</td>
<td>0.1188%</td>
</tr>
<tr>
<th scope=”row”>1982</th>
<td>158</td>
<td>1,718</td>
<td>0.115%</td>
</tr>
<tr>
<th scope=”row”>1983</th>
<td>168</td>
<td>1,536</td>
<td>0.1041%</td>
</tr>
<tr>
<th scope=”row”>1984</th>
<td>177</td>
<td>1,425</td>
<td>0.0958%</td>
</tr>
<tr>
<th scope=”row”>1985</th>
<td>180</td>
<td>1,421</td>
<td>0.0936%</td>
</tr>
<tr>
<th scope=”row”>1986</th>
<td>183</td>
<td>1,439</td>
<td>0.0953%</td>
</tr>
<tr>
<th scope=”row”>1987</th>
<td>190</td>
<td>1,417</td>
<td>0.0929%</td>
</tr>
<tr>
<th scope=”row”>1988</th>
<td>195</td>
<td>1,379</td>
<td>0.0885%</td>
</tr>
<tr>
<th scope=”row”>1989</th>
<td>198</td>
<td>1,452</td>
<td>0.09%</td>
</tr>
<tr>
<th scope=”row”>1990</th>
<td>209</td>
<td>1,433</td>
<td>0.0865%</td>
</tr>
<tr>
<th scope=”row”>1991</th>
<td>235</td>
<td>1,233</td>
<td>0.0756%</td>
</tr>
<tr>
<th scope=”row”>1992</th>
<td>247</td>
<td>1,134</td>
<td>0.071%</td>
</tr>
<tr>
<th scope=”row”>1993</th>
<td>256</td>
<td>1,093</td>
<td>0.0701%</td>
</tr>
<tr>
<th scope=”row”>1994</th>
<td>285</td>
<td>929</td>
<td>0.0605%</td>
</tr>
<tr>
<th scope=”row”>1995</th>
<td>300</td>
<td>851</td>
<td>0.0565%</td>
</tr>
<tr>
<th scope=”row”>1996</th>
<td>322</td>
<td>790</td>
<td>0.0528%</td>
</tr>
<tr>
<th scope=”row”>1997</th>
<td>337</td>
<td>745</td>
<td>0.0504%</td>
</tr>
<tr>
<th scope=”row”>1998</th>
<td>378</td>
<td>632</td>
<td>0.0422%</td>
</tr>
<tr>
<th scope=”row”>1999</th>
<td>381</td>
<td>645</td>
<td>0.0431%</td>
</tr>
<tr>
<th scope=”row”>2000</th>
<td>382</td>
<td>639</td>
<td>0.0418%</td>
</tr>
<tr>
<th scope=”row”>2001</th>
<td>410</td>
<td>569</td>
<td>0.0378%</td>
</tr>
<tr>
<th scope=”row”>2002</th>
<td>439</td>
<td>529</td>
<td>0.0353%</td>
</tr>
<tr>
<th scope=”row”>2003</th>
<td>489</td>
<td>465</td>
<td>0.0306%</td>
</tr>
<tr>
<th scope=”row”>2004</th>
<td>459</td>
<td>522</td>
<td>0.0342%</td>
</tr>
<tr>
<th scope=”row”>2005</th>
<td>517</td>
<td>432</td>
<td>0.0283%</td>
</tr>
<tr>
<th scope=”row”>2006</th>
<td>541</td>
<td>427</td>
<td>0.0273%</td>
</tr>
<tr>
<th scope=”row”>2007</th>
<td>553</td>
<td>426</td>
<td>0.027%</td>
</tr>
<tr>
<th scope=”row”>2008</th>
<td>600</td>
<td>370</td>
<td>0.0239%</td>
</tr>
<tr>
<th scope=”row”>2009</th>
<td>622</td>
<td>356</td>
<td>0.0238%</td>
</tr>
<tr>
<th scope=”row”>2010</th>
<td>669</td>
<td>303</td>
<td>0.021%</td>
</tr>
<tr>
<th scope=”row”>2011</th>
<td>640</td>
<td>318</td>
<td>0.0223%</td>
</tr>
<tr>
<th scope=”row”>2012</th>
<td>698</td>
<td>282</td>
<td>0.0198%</td>
</tr>
<tr>
<th scope=”row”>2013</th>
<td>697</td>
<td>284</td>
<td>0.0199%</td>
</tr>
<tr>
<th scope=”row”>2014</th>
<td>791</td>
<td>231</td>
<td>0.0159%</td>
</tr>
<tr>
<th scope=”row”>2015</th>
<td>737</td>
<td>267</td>
<td>0.0184%</td>
</tr>
<tr>
<th scope=”row”>2016</th>
<td>789</td>
<td>231</td>
<td>0.016%</td>
</tr>
<tr>
<th scope=”row”>2017</th>
<td>772</td>
<td>233</td>
<td>0.0167%</td>
</tr>
<tr>
<th scope=”row”>2018</th>
<td>855</td>
<td>186</td>
<td>0.0135%</td>
</tr>
<tr>
<th scope=”row”>2019</th>
<td>846</td>
<td>191</td>
<td>0.0141%</td>
</tr>
<tr>
<th scope=”row”>2020</th>
<td>948</td>
<td>174</td>
<td>0.0137%</td>
</tr>
<tr>
<th scope=”row”>2021</th>
<td>1,047</td>
<td>152</td>
<td>0.0124%</td>
</tr>
<tr>
<th scope=”row”>2022</th>
<td>1,062</td>
<td>156</td>
<td>0.0118%</td>
</tr>
<tr>
<th scope=”row”>2023</th>
<td>1,048</td>
<td>156</td>
<td>0.0121%</td>
</tr>
</tbody>
</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, 5, 6, 0, 0, 8, 0, 0, 18, 8, 8, 15, 19, 18, 18, 21, 16, 25, 30, 30, 30, 53, 58, 56, 55, 65, 55, 56, 62, 72, 50, 75, 67, 70, 50, 67, 59, 49, 53, 69, 42, 47, 35, 47, 33, 54, 35, 34, 36, 38, 42, 36, 26, 14, 28, 14, 13, 17, 15, 13, 14, 10, 22, 17, 17, 9, 13, 18, 11, 9, 16, 12, 21, 0, 8, 11, 11, 0, 7, 7, 5, 0, 7, 6, 0, 0, 0, 0, 0, 5, 6, 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(45, 179, 192, 0.9)”>
</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 Gerald</h2>
<p>If you like <b>Gerald</b>, you’ll love these other names like <b>Gerald</b>.</p>
<hr>
<h3>What names are diminutives of <b>Gerald</b>?</h3>
<p>A diminutive is a name that’s like <b>Gerald</b> sounds, you might also like these names that sound like <b>Gerald</b>, but shorter.</p>
<table readabilitydatatable=”1″>
<thead>
<tr>
<th scope=”col”>Name</th>
<th scope=”col”>Meaning</th>
<th scope=”col”>Origin</th>
<th scope=”col”>Popularity</th>
<th scope=”col”><span>Other Gender</span></th>
</tr>
</thead>
<tbody>
<tr id=”post-190909″>
<th scope=”row”>
<a href=”https://www.mamanatural.com/baby-names/boys/ger/”>
<small>
<strong>Ger</strong>
</small>
</a>
</th>
<td>
<p>
<small>
A short diminutive for most names beginning with Ger, as <b>Gerald</b>.
</small>
</p>
</td>
<td></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
<hr>
<h3>What names are variants of <b>Gerald</b>?</h3>
<p>Mix it up with these names that are a variation of the name <b>Gerald</b>.</p>
<table readabilitydatatable=”1″>
<thead>
<tr>
<th scope=”col”>Name</th>
<th scope=”col”>Meaning</th>
<th scope=”col”>Origin</th>
<th scope=”col”>Popularity</th>
<th scope=”col”><span>Other Gender</span></th>
</tr>
</thead>
<tbody>
<tr id=”post-151443″>
<th scope=”row”>
<a href=”https://www.mamanatural.com/baby-names/boys/garald/”>
<small>
<strong>Garald</strong>
</small>
</a>
</th>
<td>
<p>
<small>
Spear ruler; army ruler
</small>
</p>
</td>
<td>
<p>
<small>
Scandinavian
</small>
</p>
</td>
<td></td>
<td></td>
</tr>
<tr id=”post-151462″>
<th scope=”row”>
<a href=”https://www.mamanatural.com/baby-names/boys/garold/”>
<small>
<strong>Garold</strong>
</small>
</a>
</th>
<td>
<p>
<small>
Spear ruler; army ruler
</small>
</p>
</td>
<td>
<p>
<small>
Scandinavian
</small>
</p>
</td>
<td></td>
<td></td>
</tr>
<tr id=”post-151542″>
<th scope=”row”>
<a href=”https://www.mamanatural.com/baby-names/boys/gary/”>
<small>
<strong>Gary</strong>
</small>
</a>
</th>
<td>
<p>
<small>
Spear
</small>
</p>
</td>
<td>
<p>
<small>
English
</small>
</p>
</td>
<td></td>
<td></td>
</tr>
<tr id=”post-151673″>
<th scope=”row”>
<a href=”https://www.mamanatural.com/baby-names/boys/gearalt/”>
<small>
<strong>Gearalt</strong>
</small>
</a>
</th>
<td>
<p>
<small>
Spear ruler
</small>
</p>
</td>
<td>
<p>
<small>
German
</small>
</p>
</td>
<td></td>
<td></td>
</tr>
<tr id=”post-150186″>
<th scope=”row”>
<a href=”https://www.mamanatural.com/baby-names/boys/geralde/”>
<small>
<strong>Geralde</strong>
</small>
</a>
</th>
<td>
<p>
<small>
Spear
