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<h1>Donnell: A Name of Strength and Heritage</h1>
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<p><b>Donnell</b>, a name resonating with strength and heritage, carries the powerful meaning of “world mighty” and “brown-haired fighter.” This name evokes images of resilience, leadership, and a connection to the earth. If you’re looking for a name that embodies both power and groundedness, <b>Donnell</b> might be the perfect choice.</p>
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<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/d/donnell-name-meaning-baby-boy-v.gif” alt=”Donnell Name Meaning”>
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<h2 id=”popularity” name=”popularity”><b>Donnell</b> Name Popularity</h2>
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Just how popular is the name <b>Donnell</b>? Let’s delve into its historical usage and recent trends to understand its standing among baby names.
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<ul id=”name-popularity-tabs”>
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<div id=”data”>
<p>The Social Security Administration (SSA) provides valuable data on name popularity, allowing us to trace the usage of <b>Donnell</b> over the years. Analyzing this data reveals fascinating insights into the name’s ebb and flow in popularity.</p>
<p>Looking at the data, <b>Donnell</b> experienced periods of relative popularity, particularly in the mid-20th century. While it may not consistently rank among the top 100 names, its presence in the records indicates a sustained appeal to parents seeking a strong and distinctive name. Understanding the historical trends can help you appreciate the name’s journey through different eras.</p>
<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>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1911</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1912</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1913</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1914</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1915</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1916</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1917</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1918</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1919</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1920</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1921</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1922</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1923</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1924</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1925</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1926</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1927</th>
<td>1,498</td>
<td>5</td>
<td>0.0005%</td>
</tr>
<tr>
<th scope=”row”>1928</th>
<td>1,205</td>
<td>10</td>
<td>0.0009%</td>
</tr>
<tr>
<th scope=”row”>1929</th>
<td>1,317</td>
<td>7</td>
<td>0.0007%</td>
</tr>
<tr>
<th scope=”row”>1930</th>
<td>1,168</td>
<td>11</td>
<td>0.0011%</td>
</tr>
<tr>
<th scope=”row”>1931</th>
<td>1,136</td>
<td>11</td>
<td>0.0011%</td>
</tr>
<tr>
<th scope=”row”>1932</th>
<td>1,101</td>
<td>11</td>
<td>0.0011%</td>
</tr>
<tr>
<th scope=”row”>1933</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1934</th>
<td>1,137</td>
<td>10</td>
<td>0.001%</td>
</tr>
<tr>
<th scope=”row”>1935</th>
<td>1,040</td>
<td>12</td>
<td>0.0012%</td>
</tr>
<tr>
<th scope=”row”>1936</th>
<td>1,352</td>
<td>5</td>
<td>0.0005%</td>
</tr>
<tr>
<th scope=”row”>1937</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>1938</th>
<td>1,129</td>
<td>9</td>
<td>0.0009%</td>
</tr>
<tr>
<th scope=”row”>1939</th>
<td>1,271</td>
<td>6</td>
<td>0.0006%</td>
</tr>
<tr>
<th scope=”row”>1940</th>
<td>949</td>
<td>16</td>
<td>0.0015%</td>
</tr>
<tr>
<th scope=”row”>1941</th>
<td>843</td>
<td>24</td>
<td>0.0021%</td>
</tr>
<tr>
<th scope=”row”>1942</th>
<td>1,014</td>
<td>15</td>
<td>0.0012%</td>
</tr>
<tr>
<th scope=”row”>1943</th>
<td>1,108</td>
<td>11</td>
<td>0.0008%</td>
</tr>
<tr>
<th scope=”row”>1944</th>
<td>838</td>
<td>24</td>
<td>0.0019%</td>
</tr>
<tr>
<th scope=”row”>1945</th>
<td>855</td>
<td>21</td>
<td>0.0017%</td>
</tr>
<tr>
<th scope=”row”>1946</th>
<td>872</td>
<td>24</td>
<td>0.0016%</td>
</tr>
<tr>
<th scope=”row”>1947</th>
<td>821</td>
<td>36</td>
<td>0.0022%</td>
</tr>
<tr>
<th scope=”row”>1948</th>
<td>738</td>
<td>45</td>
<td>0.0028%</td>
</tr>
<tr>
<th scope=”row”>1949</th>
<td>766</td>
<td>44</td>
<td>0.0027%</td>
</tr>
<tr>
<th scope=”row”>1950</th>
<td>562</td>
<td>105</td>
<td>0.0065%</td>
</tr>
<tr>
<th scope=”row”>1951</th>
<td>593</td>
<td>92</td>
<td>0.0054%</td>
</tr>
<tr>
<th scope=”row”>1952</th>
<td>563</td>
<td>111</td>
<td>0.0064%</td>
</tr>
<tr>
<th scope=”row”>1953</th>
<td>523</td>
<td>135</td>
<td>0.0076%</td>
</tr>
<tr>
<th scope=”row”>1954</th>
<td>593</td>
<td>109</td>
<td>0.006%</td>
</tr>
<tr>
<th scope=”row”>1955</th>
<td>540</td>
<td>138</td>
<td>0.0075%</td>
</tr>
<tr>
<th scope=”row”>1956</th>
<td>494</td>
<td>193</td>
<td>0.0102%</td>
</tr>
<tr>
<th scope=”row”>1957</th>
<td>542</td>
<td>158</td>
<td>0.0082%</td>
</tr>
<tr>
<th scope=”row”>1958</th>
<td>497</td>
<td>199</td>
<td>0.0105%</td>
</tr>
<tr>
<th scope=”row”>1959</th>
<td>520</td>
<td>185</td>
<td>0.0097%</td>
</tr>
<tr>
<th scope=”row”>1960</th>
<td>510</td>
<td>202</td>
<td>0.0107%</td>
</tr>
<tr>
<th scope=”row”>1961</th>
<td>529</td>
<td>179</td>
<td>0.0095%</td>
</tr>
<tr>
<th scope=”row”>1962</th>
<td>479</td>
<td>234</td>
<td>0.0127%</td>
</tr>
<tr>
<th scope=”row”>1963</th>
<td>525</td>
<td>188</td>
<td>0.0105%</td>
</tr>
<tr>
<th scope=”row”>1964</th>
<td>492</td>
<td>216</td>
<td>0.0123%</td>
</tr>
<tr>
<th scope=”row”>1965</th>
<td>509</td>
<td>183</td>
<td>0.0112%</td>
</tr>
<tr>
<th scope=”row”>1966</th>
<td>504</td>
<td>186</td>
<td>0.0119%</td>
</tr>
<tr>
<th scope=”row”>1967</th>
<td>474</td>
<td>215</td>
<td>0.0142%</td>
</tr>
<tr>
<th scope=”row”>1968</th>
<td>471</td>
<td>222</td>
<td>0.0148%</td>
</tr>
<tr>
<th scope=”row”>1969</th>
<td>464</td>
<td>230</td>
<td>0.0149%</td>
</tr>
<tr>
<th scope=”row”>1970</th>
<td>478</td>
<td>246</td>
<td>0.0155%</td>
</tr>
<tr>
<th scope=”row”>1971</th>
<td>478</td>
<td>240</td>
<td>0.016%</td>
</tr>
<tr>
<th scope=”row”>1972</th>
<td>489</td>
<td>213</td>
<td>0.0156%</td>
</tr>
<tr>
<th scope=”row”>1973</th>
<td>471</td>
<td>233</td>
<td>0.018%</td>
</tr>
<tr>
<th scope=”row”>1974</th>
<td>475</td>
<td>235</td>
<td>0.0181%</td>
</tr>
<tr>
<th scope=”row”>1975</th>
<td>477</td>
<td>233</td>
<td>0.0181%</td>
</tr>
<tr>
<th scope=”row”>1976</th>
<td>478</td>
<td>226</td>
<td>0.0175%</td>
</tr>
<tr>
<th scope=”row”>1977</th>
<td>547</td>
<td>195</td>
<td>0.0145%</td>
</tr>
<tr>
<th scope=”row”>1978</th>
<td>549</td>
<td>183</td>
<td>0.0136%</td>
</tr>
<tr>
<th scope=”row”>1979</th>
<td>524</td>
<td>217</td>
<td>0.0154%</td>
</tr>
<tr>
<th scope=”row”>1980</th>
<td>499</td>
<td>245</td>
<td>0.0168%</td>
</tr>
<tr>
<th scope=”row”>1981</th>
<td>507</td>
<td>229</td>
<td>0.0156%</td>
</tr>
<tr>
<th scope=”row”>1982</th>
<td>489</td>
<td>260</td>
<td>0.0174%</td>
</tr>
<tr>
<th scope=”row”>1983</th>
<td>537</td>
<td>196</td>
<td>0.0133%</td>
</tr>
<tr>
<th scope=”row”>1984</th>
<td>524</td>
<td>221</td>
<td>0.0149%</td>
</tr>
<tr>
<th scope=”row”>1985</th>
<td>571</td>
<td>189</td>
<td>0.0125%</td>
</tr>
<tr>
<th scope=”row”>1986</th>
<td>611</td>
<td>166</td>
<td>0.011%</td>
</tr>
<tr>
<th scope=”row”>1987</th>
<td>622</td>
<td>165</td>
<td>0.0108%</td>
</tr>
<tr>
<th scope=”row”>1988</th>
<td>572</td>
<td>215</td>
<td>0.0138%</td>
</tr>
<tr>
<th scope=”row”>1989</th>
<td>606</td>
<td>218</td>
<td>0.0135%</td>
</tr>
<tr>
<th scope=”row”>1990</th>
<td>618</td>
<td>220</td>
<td>0.0133%</td>
</tr>
<tr>
<th scope=”row”>1991</th>
<td>678</td>
<td>172</td>
<td>0.0106%</td>
</tr>
<tr>
<th scope=”row”>1992</th>
<td>683</td>
<td>178</td>
<td>0.0112%</td>
</tr>
<tr>
<th scope=”row”>1993</th>
<td>722</td>
<td>160</td>
<td>0.0103%</td>
</tr>
<tr>
<th scope=”row”>1994</th>
<td>689</td>
<td>173</td>
<td>0.0113%</td>
</tr>
<tr>
<th scope=”row”>1995</th>
<td>785</td>
<td>132</td>
<td>0.0088%</td>
</tr>
<tr>
<th scope=”row”>1996</th>
<td>788</td>
<td>137</td>
<td>0.0091%</td>
</tr>
<tr>
<th scope=”row”>1997</th>
<td>828</td>
<td>125</td>
<td>0.0085%</td>
</tr>
<tr>
<th scope=”row”>1998</th>
<td>963</td>
<td>96</td>
<td>0.0064%</td>
</tr>
<tr>
<th scope=”row”>1999</th>
<td>988</td>
<td>93</td>
<td>0.0062%</td>
</tr>
<tr>
<th scope=”row”>2000</th>
<td>930</td>
<td>115</td>
<td>0.0075%</td>
</tr>
<tr>
<th scope=”row”>2001</th>
<td>922</td>
<td>120</td>
<td>0.008%</td>
</tr>
<tr>
<th scope=”row”>2002</th>
<td>1,149</td>
<td>75</td>
<td>0.005%</td>
</tr>
<tr>
<th scope=”row”>2003</th>
<td>1,111</td>
<td>86</td>
<td>0.0057%</td>
</tr>
<tr>
<th scope=”row”>2004</th>
<td>1,042</td>
<td>103</td>
<td>0.0068%</td>
</tr>
<tr>
<th scope=”row”>2005</th>
<td>1,178</td>
<td>81</td>
<td>0.0053%</td>
</tr>
<tr>
<th scope=”row”>2006</th>
<td>1,054</td>
<td>114</td>
<td>0.0073%</td>
</tr>
<tr>
<th scope=”row”>2007</th>
<td>1,178</td>
<td>94</td>
<td>0.006%</td>
</tr>
<tr>
<th scope=”row”>2008</th>
<td>1,170</td>
<td>96</td>
<td>0.0062%</td>
</tr>
<tr>
<th scope=”row”>2009</th>
<td>1,659</td>
<td>37</td>
<td>0.0025%</td>
</tr>
<tr>
<th scope=”row”>2010</th>
<td>1,538</td>
<td>45</td>
<td>0.0031%</td>
</tr>
<tr>
<th scope=”row”>2011</th>
<td>1,638</td>
<td>36</td>
<td>0.0025%</td>
</tr>
<tr>
<th scope=”row”>2012</th>
<td>1,611</td>
<td>37</td>
<td>0.0026%</td>
</tr>
<tr>
<th scope=”row”>2013</th>
<td>1,574</td>
<td>38</td>
<td>0.0027%</td>
</tr>
<tr>
<th scope=”row”>2014</th>
<td>1,566</td>
<td>41</td>
<td>0.0028%</td>
</tr>
<tr>
<th scope=”row”>2015</th>
<td>1,810</td>
<td>26</td>
<td>0.0018%</td>
</tr>
<tr>
<th scope=”row”>2016</th>
<td>1,763</td>
<td>28</td>
<td>0.0019%</td>
</tr>
<tr>
<th scope=”row”>2017</th>
<td>2,287</td>
<td>11</td>
<td>0.0008%</td>
</tr>
<tr>
<th scope=”row”>2018</th>
<td>1,879</td>
<td>22</td>
<td>0.0016%</td>
</tr>
<tr>
<th scope=”row”>2019</th>
<td>2,251</td>
<td>11</td>
<td>0.0008%</td>
</tr>
<tr>
<th scope=”row”>2020</th>
<td>2,795</td>
<td>12</td>
<td>0.0009%</td>
</tr>
<tr>
<th scope=”row”>2021</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>2022</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<th scope=”row”>2023</th>
<td>—</td>
<td>0</td>
<td>0%</td>
</tr>
</table>
</div>
<div id=”state”>
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</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 <b>Donnell</b></h2>
<p>If you find the essence of <b>
