mpg cyl disp hp drat wt qsec vs am gear carb
Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2Efficient data manipulation with R
Philippe Massicotte
Laval University
March 2, 2023
Who am I
Research assistant at Takuvik (Laval University)
Remote sensing, modelling, data science, data visualization
Training workshop on data management and archiving
March 15th 2023
Inscriptions: https://bit.ly/3ZcH96POutline
- Intellectual Property of Data
- Data management plan
- Data acquisition
- Data cataloguing and dissemination
- Standards, processing, standardization and importance of metadata
Context
Data preprocessing is one of the main steps in the data science project life cycle which involves converting raw data into a refined form amenable to data analysis. Source: towards data science
Context
It is often said that 80% of data analysis is spent on cleaning and preparing data. And it’s not just a first step, but it must be repeated many over the course of analysis as new problems come to light or new data is collected.
Objectives
Part 1 (~ 2 hours)
Understand the basics of data manipulation techniques using R.
Learn how to manipulate and transform raw data into a format suitable for analysis using
dplyrandtidyr.- filtering
- grouping, summarizing / aggregating
- joining data from multiple sources
Part 2 (~ 1 hour)
- Working on your own data
- Data challenge: SQL Murder Mystery
Who are you?
Diverse faculties and academic backgrounds.
Efforts to offer examples that are pertinent to everyone in the classroom.
Prerequisites
This workshop is not an introduction to R programming.
I am assuming that you already have basic knowledge of R.
You should know how to:
- Install R packages
- Use R Studio or another IDE of your choice
- Create R scripts
- Import data
- Work with data frame
- Perform basic calculations
Getting ready to code!
If you do not have R/R Studio installed on your laptop, I have created a pre-configured cloud instance of R with all the packages needed for this workshop. If you choose this option, you need to have a free Posit account.
Step 1: Open the course project
- Go to this URL: https://posit.cloud/spaces/338666/.
- You will have to create or login into your Posit account first.
- Step 2: Make a copy of the project
Data frames
Data frames
Data frames are important objects in R which are created when reading (most) tabular text files.
The most useful data structure for data scientists.
They allow for efficient data manipulation:
- Filtering
- Summarizing
- Aggregating
- Joining
- And much more!
Data frames
Note
A data frame can be seen as a matrix with the difference that columns (variables) can be of different types (numerics, dates, characters, etc.).
Data frames
The mtcars data frame is included in base R.
The data was extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973–74 models).
Importing data in R
Reading files
- Why bother about data frame?
- Most of the time, this is the data structure that will be created when importing data in R.
- There are many functions to import data in R.
| File format | Function | Package |
|---|---|---|
| Comma separated values (.csv) | read_csv() |
readr |
| Other text files (.txt, .dat, …) | read_delim() |
readr |
| Excel (.xls, .xlsx) | read_excel() |
readxl |
| Stata | read_stata() |
haven |
| SPSS | read_spss() |
haven |
| SAS | read_sas() |
haven |
| Matlab file (.mat) | readMat() |
R.matlab |
Reading files
Functions to read files in often have the same schema:
read_*("file", <options>)
Examples of <options> can be:
- A single character used to separate fields within a record: Ex.:
",",";","\t". - The names of the columns to read.
- The number of rows to read.
Reading Excel files
To read Excel files, we can use read_excel() from the readxl package.
Reading CSV files
To read CSV files, we can use read_csv() from the readr package.
Reading CSV files
Important
Note that the base R function to read a CSV file is read.csv(). Do not confuse with the read_csv() function from readr.
Reading files online
It is also possible to read files hosted online by providing an URL. For example, let’s read daily weather updates from the Curiosity Rover on Mars.
# A tibble: 1,894 × 10
id terrestrial…¹ sol ls month min_t…² max_t…³ press…⁴ wind_…⁵ atmo_…⁶
<dbl> <date> <dbl> <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <chr>
1 1895 2018-02-27 1977 135 Mont… -77 -10 727 NaN Sunny
2 1893 2018-02-26 1976 135 Mont… -77 -10 728 NaN Sunny
3 1894 2018-02-25 1975 134 Mont… -76 -16 729 NaN Sunny
4 1892 2018-02-24 1974 134 Mont… -77 -13 729 NaN Sunny
5 1889 2018-02-23 1973 133 Mont… -78 -18 730 NaN Sunny
6 1891 2018-02-22 1972 133 Mont… -78 -14 730 NaN Sunny
7 1890 2018-02-21 1971 132 Mont… -78 -13 731 NaN Sunny
8 1888 2018-02-20 1970 132 Mont… -77 -16 731 NaN Sunny
9 1887 2018-02-19 1969 131 Mont… -76 -16 732 NaN Sunny
10 1886 2018-02-18 1968 131 Mont… -76 -19 732 NaN Sunny
# … with 1,884 more rows, and abbreviated variable names ¹terrestrial_date,
# ²min_temp, ³max_temp, ⁴pressure, ⁵wind_speed, ⁶atmo_opacityReading files online
Exporting data
Similarly, exporting a data frame into a file can be done using: write_*().
write_*(<dataframe>, "file")
For example, you could export the mtcars data frame in tab-delimited and comma-delimited files on your desktop:
What is a tibble?
In base R, the main object holding sheet-like data is called a data.frame. In the tidyverse ecosystem, they are called tibble, which can be seen as a pimped version of a data.frame.
What is a tibble?
Reading using base R creates a data.frame
year name percent sex
1 1880 John 0.081541 boy
2 1880 William 0.080511 boy
3 1880 James 0.050057 boy
4 1880 Charles 0.045167 boy
5 1880 George 0.043292 boy
6 1880 Frank 0.027380 boy
7 1880 Joseph 0.022229 boy
8 1880 Thomas 0.021401 boy
9 1880 Henry 0.020641 boy
10 1880 Robert 0.020404 boy
11 1880 Edward 0.019965 boy
12 1880 Harry 0.018175 boy
13 1880 Walter 0.014822 boy
14 1880 Arthur 0.013504 boy
15 1880 Fred 0.013251 boy
16 1880 Albert 0.012609 boy
17 1880 Samuel 0.008648 boy
18 1880 David 0.007339 boy
19 1880 Louis 0.006993 boy
20 1880 Joe 0.006174 boy
21 1880 Charlie 0.006165 boy
22 1880 Clarence 0.006165 boy
23 1880 Richard 0.006148 boy
24 1880 Andrew 0.005439 boy
25 1880 Daniel 0.005430 boy
26 1880 Ernest 0.005194 boy
27 1880 Will 0.004966 boy
28 1880 Jesse 0.004805 boy
29 1880 Oscar 0.004594 boy
30 1880 Lewis 0.004366 boy
31 1880 Peter 0.004189 boy
32 1880 Benjamin 0.004138 boy
33 1880 Frederick 0.004079 boy
34 1880 Willie 0.004020 boy
35 1880 Alfred 0.003961 boy
36 1880 Sam 0.003860 boy
37 1880 Roy 0.003716 boy
38 1880 Herbert 0.003581 boy
39 1880 Jacob 0.003412 boy
40 1880 Tom 0.003370 boy
41 1880 Elmer 0.003150 boy
42 1880 Carl 0.003142 boy
43 1880 Lee 0.003049 boy
44 1880 Howard 0.003015 boy
45 1880 Martin 0.003015 boy
46 1880 Michael 0.002990 boy
47 1880 Bert 0.002939 boy
48 1880 Herman 0.002931 boy
49 1880 Jim 0.002914 boy
50 1880 Francis 0.002905 boy
51 1880 Harvey 0.002905 boy
52 1880 Earl 0.002829 boy
53 1880 Eugene 0.002770 boy
54 1880 Ralph 0.002677 boy
55 1880 Ed 0.002618 boy
56 1880 Claude 0.002610 boy
57 1880 Edwin 0.002610 boy
58 1880 Ben 0.002576 boy
59 1880 Charley 0.002576 boy
60 1880 Paul 0.002542 boy
61 1880 Edgar 0.002390 boy
62 1880 Isaac 0.002314 boy
63 1880 Otto 0.002289 boy
64 1880 Luther 0.002196 boy
65 1880 Lawrence 0.002170 boy
66 1880 Ira 0.002103 boy
67 1880 Patrick 0.002094 boy
68 1880 Guy 0.002018 boy
69 1880 Oliver 0.001976 boy
70 1880 Theodore 0.001959 boy
71 1880 Hugh 0.001892 boy
72 1880 Clyde 0.001866 boy
73 1880 Alexander 0.001782 boy
74 1880 August 0.001774 boy
75 1880 Floyd 0.001740 boy
76 1880 Homer 0.001731 boy
77 1880 Jack 0.001723 boy
78 1880 Leonard 0.001689 boy
79 1880 Horace 0.001681 boy
80 1880 Marion 0.001596 boy
81 1880 Philip 0.001571 boy
82 1880 Allen 0.001554 boy
83 1880 Archie 0.001546 boy
84 1880 Stephen 0.001486 boy
85 1880 Chester 0.001419 boy
86 1880 Willis 0.001402 boy
87 1880 Raymond 0.001394 boy
88 1880 Rufus 0.001377 boy
89 1880 Warren 0.001334 boy
90 1880 Jessie 0.001301 boy
91 1880 Milton 0.001258 boy
92 1880 Alex 0.001241 boy
93 1880 Leo 0.001241 boy
94 1880 Julius 0.001208 boy
95 1880 Ray 0.001199 boy
96 1880 Sidney 0.001199 boy
97 1880 Bernard 0.001182 boy
98 1880 Dan 0.001182 boy
99 1880 Jerry 0.001149 boy
100 1880 Calvin 0.001132 boy
101 1880 Perry 0.001132 boy
102 1880 Dave 0.001106 boy
103 1880 Anthony 0.001098 boy
104 1880 Eddie 0.001089 boy
105 1880 Amos 0.001081 boy
106 1880 Dennis 0.001081 boy
107 1880 Clifford 0.001073 boy
108 1880 Leroy 0.001047 boy
109 1880 Wesley 0.001039 boy
110 1880 Alonzo 0.001030 boy
111 1880 Garfield 0.001030 boy
112 1880 Franklin 0.001013 boy
113 1880 Emil 0.001005 boy
114 1880 Leon 0.000997 boy
115 1880 Nathan 0.000963 boy
116 1880 Harold 0.000954 boy
117 1880 Matthew 0.000954 boy
118 1880 Levi 0.000946 boy
119 1880 Moses 0.000937 boy
120 1880 Everett 0.000929 boy
121 1880 Lester 0.000921 boy
122 1880 Winfield 0.000912 boy
123 1880 Adam 0.000878 boy
124 1880 Lloyd 0.000878 boy
125 1880 Mack 0.000878 boy
126 1880 Fredrick 0.000870 boy
127 1880 Jay 0.000870 boy
128 1880 Jess 0.000870 boy
129 1880 Melvin 0.000870 boy
130 1880 Noah 0.000870 boy
131 1880 Aaron 0.000861 boy
132 1880 Alvin 0.000861 boy
133 1880 Norman 0.000861 boy
134 1880 Gilbert 0.000853 boy
135 1880 Elijah 0.000845 boy
136 1880 Victor 0.000845 boy
137 1880 Gus 0.000836 boy
138 1880 Nelson 0.000836 boy
139 1880 Jasper 0.000828 boy
140 1880 Silas 0.000828 boy
141 1880 Christopher 0.000819 boy
142 1880 Jake 0.000811 boy
143 1880 Mike 0.000802 boy
144 1880 Percy 0.000794 boy
145 1880 Adolph 0.000785 boy
146 1880 Maurice 0.000785 boy
147 1880 Cornelius 0.000777 boy
148 1880 Felix 0.000777 boy
149 1880 Reuben 0.000777 boy
150 1880 Wallace 0.000769 boy
151 1880 Claud 0.000760 boy
152 1880 Roscoe 0.000760 boy
153 1880 Sylvester 0.000752 boy
154 1880 Earnest 0.000743 boy
155 1880 Hiram 0.000743 boy
156 1880 Otis 0.000743 boy
157 1880 Simon 0.000743 boy
158 1880 Willard 0.000743 boy
159 1880 Irvin 0.000726 boy
160 1880 Mark 0.000726 boy
161 1880 Jose 0.000709 boy
162 1880 Wilbur 0.000693 boy
163 1880 Abraham 0.000684 boy
164 1880 Virgil 0.000684 boy
165 1880 Clinton 0.000667 boy
166 1880 Elbert 0.000667 boy
167 1880 Leslie 0.000667 boy
168 1880 Marshall 0.000659 boy
169 1880 Owen 0.000659 boy
170 1880 Wiley 0.000659 boy
171 1880 Anton 0.000650 boy
172 1880 Morris 0.000650 boy
173 1880 Manuel 0.000633 boy
174 1880 Phillip 0.000633 boy
175 1880 Augustus 0.000625 boy
176 1880 Emmett 0.000625 boy
177 1880 Eli 0.000617 boy
178 1880 Nicholas 0.000617 boy
179 1880 Wilson 0.000608 boy
180 1880 Alva 0.000591 boy
181 1880 Harley 0.000591 boy
182 1880 Newton 0.000591 boy
183 1880 Timothy 0.000591 boy
184 1880 Marvin 0.000583 boy
185 1880 Ross 0.000583 boy
186 1880 Curtis 0.000574 boy
187 1880 Edmund 0.000566 boy
188 1880 Jeff 0.000557 boy
189 1880 Elias 0.000549 boy
190 1880 Harrison 0.000549 boy
191 1880 Stanley 0.000549 boy
192 1880 Columbus 0.000541 boy
193 1880 Lon 0.000541 boy
194 1880 Ora 0.000541 boy
195 1880 Ollie 0.000532 boy
196 1880 Russell 0.000532 boy
197 1880 Pearl 0.000524 boy
198 1880 Solomon 0.000524 boy
199 1880 Arch 0.000515 boy
200 1880 Asa 0.000507 boy
201 1880 Clayton 0.000507 boy
202 1880 Enoch 0.000507 boy
203 1880 Irving 0.000507 boy
204 1880 Mathew 0.000507 boy
205 1880 Nathaniel 0.000507 boy
206 1880 Scott 0.000507 boy
207 1880 Hubert 0.000498 boy
208 1880 Lemuel 0.000498 boy
209 1880 Andy 0.000490 boy
210 1880 Ellis 0.000490 boy
211 1880 Emanuel 0.000481 boy
212 1880 Joshua 0.000481 boy
213 1880 Millard 0.000473 boy
214 1880 Vernon 0.000473 boy
215 1880 Wade 0.000473 boy
216 1880 Cyrus 0.000456 boy
217 1880 Miles 0.000456 boy
218 1880 Rudolph 0.000456 boy
219 1880 Sherman 0.000456 boy
220 1880 Austin 0.000448 boy
221 1880 Bill 0.000448 boy
222 1880 Chas 0.000448 boy
223 1880 Lonnie 0.000448 boy
224 1880 Monroe 0.000448 boy
225 1880 Byron 0.000439 boy
226 1880 Edd 0.000439 boy
227 1880 Emery 0.000439 boy
228 1880 Grant 0.000439 boy
229 1880 Jerome 0.000439 boy
230 1880 Max 0.000439 boy
231 1880 Mose 0.000439 boy
232 1880 Steve 0.000439 boy
233 1880 Gordon 0.000431 boy
234 1880 Abe 0.000422 boy
235 1880 Pete 0.000422 boy
236 1880 Chris 0.000414 boy
237 1880 Clark 0.000414 boy
238 1880 Gustave 0.000414 boy
239 1880 Orville 0.000414 boy
240 1880 Lorenzo 0.000405 boy
241 1880 Bruce 0.000397 boy
242 1880 Marcus 0.000397 boy
243 1880 Preston 0.000397 boy
244 1880 Bob 0.000388 boy
245 1880 Dock 0.000388 boy
246 1880 Donald 0.000388 boy
247 1880 Jackson 0.000388 boy
248 1880 Cecil 0.000380 boy
249 1880 Barney 0.000372 boy
250 1880 Delbert 0.000372 boy
251 1880 Edmond 0.000372 boy
252 1880 Anderson 0.000363 boy
253 1880 Christian 0.000363 boy
254 1880 Glenn 0.000363 boy
255 1880 Jefferson 0.000363 boy
256 1880 Luke 0.000363 boy
257 1880 Neal 0.000363 boy
258 1880 Burt 0.000355 boy
259 1880 Ike 0.000355 boy
260 1880 Myron 0.000355 boy
261 1880 Tony 0.000355 boy
262 1880 Conrad 0.000346 boy
263 1880 Joel 0.000346 boy
264 1880 Matt 0.000346 boy
265 1880 Riley 0.000346 boy
266 1880 Vincent 0.000346 boy
267 1880 Emory 0.000338 boy
268 1880 Isaiah 0.000338 boy
269 1880 Nick 0.000338 boy
270 1880 Ezra 0.000329 boy
271 1880 Green 0.000329 boy
272 1880 Juan 0.000329 boy
273 1880 Clifton 0.000321 boy
274 1880 Lucius 0.000321 boy
275 1880 Porter 0.000321 boy
276 1880 Arnold 0.000312 boy
277 1880 Bud 0.000312 boy
278 1880 Jeremiah 0.000312 boy
279 1880 Taylor 0.000312 boy
280 1880 Forrest 0.000304 boy
281 1880 Roland 0.000304 boy
282 1880 Spencer 0.000296 boy
283 1880 Burton 0.000287 boy
284 1880 Don 0.000287 boy
285 1880 Emmet 0.000287 boy
286 1880 Gustav 0.000279 boy
287 1880 Louie 0.000279 boy
288 1880 Morgan 0.000279 boy
289 1880 Ned 0.000279 boy
290 1880 Van 0.000279 boy
291 1880 Ambrose 0.000270 boy
292 1880 Chauncey 0.000270 boy
293 1880 Elisha 0.000270 boy
294 1880 Ferdinand 0.000270 boy
295 1880 General 0.000270 boy
296 1880 Julian 0.000270 boy
297 1880 Kenneth 0.000270 boy
298 1880 Mitchell 0.000270 boy
299 1880 Allie 0.000262 boy
300 1880 Josh 0.000262 boy
301 1880 Judson 0.000262 boy
302 1880 Lyman 0.000262 boy
303 1880 Napoleon 0.000262 boy
304 1880 Pedro 0.000262 boy
305 1880 Berry 0.000253 boy
306 1880 Dewitt 0.000253 boy
307 1880 Ervin 0.000253 boy
308 1880 Forest 0.000253 boy
309 1880 Lynn 0.000253 boy
310 1880 Pink 0.000253 boy
311 1880 Ruben 0.000253 boy
312 1880 Sanford 0.000253 boy
313 1880 Ward 0.000253 boy
314 1880 Douglas 0.000245 boy
315 1880 Ole 0.000245 boy
316 1880 Omer 0.000245 boy
317 1880 Ulysses 0.000245 boy
318 1880 Walker 0.000245 boy
319 1880 Wilbert 0.000245 boy
320 1880 Adelbert 0.000236 boy
321 1880 Benjiman 0.000236 boy
322 1880 Ivan 0.000236 boy
323 1880 Jonas 0.000236 boy
324 1880 Major 0.000236 boy
325 1880 Abner 0.000228 boy
326 1880 Archibald 0.000228 boy
327 1880 Caleb 0.000228 boy
328 1880 Clint 0.000228 boy
329 1880 Dudley 0.000228 boy
330 1880 Granville 0.000228 boy
331 1880 King 0.000228 boy
332 1880 Mary 0.000228 boy
333 1880 Merton 0.000228 boy
334 1880 Antonio 0.000220 boy
335 1880 Bennie 0.000220 boy
336 1880 Carroll 0.000220 boy
337 1880 Freeman 0.000220 boy
338 1880 Josiah 0.000220 boy
339 1880 Milo 0.000220 boy
340 1880 Royal 0.000220 boy
341 1880 Dick 0.000211 boy
342 1880 Earle 0.000211 boy
343 1880 Elza 0.000211 boy
344 1880 Emerson 0.000211 boy
345 1880 Fletcher 0.000211 boy
346 1880 Judge 0.000211 boy
347 1880 Laurence 0.000211 boy
348 1880 Neil 0.000211 boy
349 1880 Roger 0.000211 boy
350 1880 Seth 0.000211 boy
351 1880 Glen 0.000203 boy
352 1880 Hugo 0.000203 boy
353 1880 Jimmie 0.000203 boy
354 1880 Johnnie 0.000203 boy
355 1880 Washington 0.000203 boy
356 1880 Elwood 0.000194 boy
357 1880 Gust 0.000194 boy
358 1880 Harmon 0.000194 boy
359 1880 Jordan 0.000194 boy
360 1880 Simeon 0.000194 boy
361 1880 Wayne 0.000194 boy
362 1880 Wilber 0.000194 boy
363 1880 Clem 0.000186 boy
364 1880 Evan 0.000186 boy
365 1880 Frederic 0.000186 boy
366 1880 Irwin 0.000186 boy
367 1880 Junius 0.000186 boy
368 1880 Lafayette 0.000186 boy
369 1880 Loren 0.000186 boy
370 1880 Madison 0.000186 boy
371 1880 Mason 0.000186 boy
372 1880 Orval 0.000186 boy
373 1880 Abram 0.000177 boy
374 1880 Aubrey 0.000177 boy
375 1880 Elliott 0.000177 boy
376 1880 Hans 0.000177 boy
377 1880 Karl 0.000177 boy
378 1880 Minor 0.000177 boy
379 1880 Wash 0.000177 boy
380 1880 Wilfred 0.000177 boy
381 1880 Allan 0.000169 boy
382 1880 Alphonse 0.000169 boy
383 1880 Dallas 0.000169 boy
384 1880 Dee 0.000169 boy
385 1880 Isiah 0.000169 boy
386 1880 Jason 0.000169 boy
387 1880 Johnny 0.000169 boy
388 1880 Lawson 0.000169 boy
389 1880 Lew 0.000169 boy
390 1880 Micheal 0.000169 boy
391 1880 Orin 0.000169 boy
392 1880 Addison 0.000160 boy
393 1880 Cal 0.000160 boy
394 1880 Erastus 0.000160 boy
395 1880 Francisco 0.000160 boy
396 1880 Hardy 0.000160 boy
397 1880 Lucien 0.000160 boy
398 1880 Randolph 0.000160 boy
399 1880 Stewart 0.000160 boy
400 1880 Vern 0.000160 boy
401 1880 Wilmer 0.000160 boy
402 1880 Zack 0.000160 boy
403 1880 Adrian 0.000152 boy
404 1880 Alvah 0.000152 boy
405 1880 Bertram 0.000152 boy
406 1880 Clay 0.000152 boy
407 1880 Ephraim 0.000152 boy
408 1880 Fritz 0.000152 boy
409 1880 Giles 0.000152 boy
410 1880 Grover 0.000152 boy
411 1880 Harris 0.000152 boy
412 1880 Isom 0.000152 boy
413 1880 Jesus 0.000152 boy
414 1880 Johnie 0.000152 boy
415 1880 Jonathan 0.000152 boy
416 1880 Lucian 0.000152 boy
417 1880 Malcolm 0.000152 boy
418 1880 Merritt 0.000152 boy
419 1880 Otho 0.000152 boy
420 1880 Perley 0.000152 boy
421 1880 Rolla 0.000152 boy
422 1880 Sandy 0.000152 boy
423 1880 Tomas 0.000152 boy
424 1880 Wilford 0.000152 boy
425 1880 Adolphus 0.000144 boy
426 1880 Angus 0.000144 boy
427 1880 Arther 0.000144 boy
428 1880 Carlos 0.000144 boy
429 1880 Cary 0.000144 boy
430 1880 Cassius 0.000144 boy
431 1880 Davis 0.000144 boy
432 1880 Hamilton 0.000144 boy
433 1880 Harve 0.000144 boy
434 1880 Israel 0.000144 boy
435 1880 Leander 0.000144 boy
436 1880 Melville 0.000144 boy
437 1880 Merle 0.000144 boy
438 1880 Murray 0.000144 boy
439 1880 Pleasant 0.000144 boy
440 1880 Sterling 0.000144 boy
441 1880 Steven 0.000144 boy
442 1880 Axel 0.000135 boy
443 1880 Boyd 0.000135 boy
444 1880 Bryant 0.000135 boy
445 1880 Clement 0.000135 boy
446 1880 Erwin 0.000135 boy
447 1880 Ezekiel 0.000135 boy
448 1880 Foster 0.000135 boy
449 1880 Frances 0.000135 boy
450 1880 Geo 0.000135 boy
451 1880 Houston 0.000135 boy
452 1880 Issac 0.000135 boy
453 1880 Jules 0.000135 boy
454 1880 Larkin 0.000135 boy
455 1880 Mat 0.000135 boy
456 1880 Morton 0.000135 boy
457 1880 Orlando 0.000135 boy
458 1880 Pierce 0.000135 boy
459 1880 Prince 0.000135 boy
460 1880 Rollie 0.000135 boy
461 1880 Rollin 0.000135 boy
462 1880 Sim 0.000135 boy
463 1880 Stuart 0.000135 boy
464 1880 Wilburn 0.000135 boy
465 1880 Bennett 0.000127 boy
466 1880 Casper 0.000127 boy
467 1880 Christ 0.000127 boy
468 1880 Dell 0.000127 boy
469 1880 Egbert 0.000127 boy
470 1880 Elmo 0.000127 boy
471 1880 Fay 0.000127 boy
472 1880 Gabriel 0.000127 boy
473 1880 Hector 0.000127 boy
474 1880 Horatio 0.000127 boy
475 1880 Lige 0.000127 boy
476 1880 Saul 0.000127 boy
477 1880 Smith 0.000127 boy
478 1880 Squire 0.000127 boy
479 1880 Tobe 0.000127 boy
480 1880 Tommie 0.000127 boy
481 1880 Wyatt 0.000127 boy
482 1880 Alford 0.000118 boy
483 1880 Alma 0.000118 boy
484 1880 Alton 0.000118 boy
485 1880 Andres 0.000118 boy
486 1880 Burl 0.000118 boy
487 1880 Cicero 0.000118 boy
488 1880 Dean 0.000118 boy
489 1880 Dorsey 0.000118 boy
490 1880 Enos 0.000118 boy
491 1880 Howell 0.000118 boy
492 1880 Lou 0.000118 boy
493 1880 Loyd 0.000118 boy
494 1880 Mahlon 0.000118 boy
495 1880 Nat 0.000118 boy
496 1880 Omar 0.000118 boy
497 1880 Oran 0.000118 boy
498 1880 Parker 0.000118 boy
499 1880 Raleigh 0.000118 boy
500 1880 Reginald 0.000118 boy
501 1880 Rubin 0.000118 boy
502 1880 Seymour 0.000118 boy
503 1880 Wm 0.000118 boy
504 1880 Young 0.000118 boy
505 1880 Benjamine 0.000110 boy
506 1880 Carey 0.000110 boy
507 1880 Carlton 0.000110 boy
508 1880 Eldridge 0.000110 boy
509 1880 Elzie 0.000110 boy
510 1880 Garrett 0.000110 boy
511 1880 Isham 0.000110 boy
512 1880 Johnson 0.000110 boy
513 1880 Larry 0.000110 boy
514 1880 Logan 0.000110 boy
515 1880 Merrill 0.000110 boy
516 1880 Mont 0.000110 boy
517 1880 Oren 0.000110 boy
518 1880 Pierre 0.000110 boy
519 1880 Rex 0.000110 boy
520 1880 Rodney 0.000110 boy
521 1880 Ted 0.000110 boy
522 1880 Webster 0.000110 boy
523 1880 West 0.000110 boy
524 1880 Wheeler 0.000110 boy
525 1880 Willam 0.000110 boy
526 1880 Al 0.000101 boy
527 1880 Aloysius 0.000101 boy
528 1880 Alvie 0.000101 boy
529 1880 Anna 0.000101 boy
530 1880 Art 0.000101 boy
531 1880 Augustine 0.000101 boy
532 1880 Bailey 0.000101 boy
533 1880 Benjaman 0.000101 boy
534 1880 Beverly 0.000101 boy
535 1880 Bishop 0.000101 boy
536 1880 Clair 0.000101 boy
537 1880 Cloyd 0.000101 boy
538 1880 Coleman 0.000101 boy
539 1880 Dana 0.000101 boy
540 1880 Duncan 0.000101 boy
541 1880 Dwight 0.000101 boy
542 1880 Emile 0.000101 boy
543 1880 Evert 0.000101 boy
544 1880 Henderson 0.000101 boy
545 1880 Hunter 0.000101 boy
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547 1880 Lem 0.000101 boy
548 1880 Luis 0.000101 boy
549 1880 Mathias 0.000101 boy
550 1880 Maynard 0.000101 boy
551 1880 Miguel 0.000101 boy
552 1880 Mortimer 0.000101 boy
553 1880 Nels 0.000101 boy
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555 1880 Pat 0.000101 boy
556 1880 Phil 0.000101 boy
557 1880 Rush 0.000101 boy
558 1880 Santiago 0.000101 boy
559 1880 Sol 0.000101 boy
560 1880 Sydney 0.000101 boy
561 1880 Thaddeus 0.000101 boy
562 1880 Thornton 0.000101 boy
563 1880 Tim 0.000101 boy
564 1880 Travis 0.000101 boy
565 1880 Truman 0.000101 boy
566 1880 Watson 0.000101 boy
567 1880 Webb 0.000101 boy
568 1880 Wellington 0.000101 boy
569 1880 Winfred 0.000101 boy
570 1880 Wylie 0.000101 boy
571 1880 Alec 0.000093 boy
572 1880 Basil 0.000093 boy
573 1880 Baxter 0.000093 boy
574 1880 Bertrand 0.000093 boy
575 1880 Buford 0.000093 boy
576 1880 Burr 0.000093 boy
577 1880 Cleveland 0.000093 boy
578 1880 Colonel 0.000093 boy
579 1880 Dempsey 0.000093 boy
580 1880 Early 0.000093 boy
581 1880 Ellsworth 0.000093 boy
582 1880 Fate 0.000093 boy
583 1880 Finley 0.000093 boy
584 1880 Gabe 0.000093 boy
585 1880 Garland 0.000093 boy
586 1880 Gerald 0.000093 boy
587 1880 Herschel 0.000093 boy
588 1880 Hezekiah 0.000093 boy
589 1880 Justus 0.000093 boy
590 1880 Lindsey 0.000093 boy
591 1880 Marcellus 0.000093 boy
592 1880 Olaf 0.000093 boy
593 1880 Olin 0.000093 boy
594 1880 Pablo 0.000093 boy
595 1880 Rolland 0.000093 boy
596 1880 Turner 0.000093 boy
597 1880 Verne 0.000093 boy
598 1880 Volney 0.000093 boy
599 1880 Williams 0.000093 boy
600 1880 Almon 0.000084 boy
601 1880 Alois 0.000084 boy
602 1880 Alonza 0.000084 boy
603 1880 Anson 0.000084 boy
604 1880 Authur 0.000084 boy
605 1880 Benton 0.000084 boy
606 1880 Billie 0.000084 boy
607 1880 Cornelious 0.000084 boy
608 1880 Darius 0.000084 boy
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610 1880 Dillard 0.000084 boy
611 1880 Doctor 0.000084 boy
612 1880 Elvin 0.000084 boy
613 1880 Emma 0.000084 boy
614 1880 Eric 0.000084 boy
615 1880 Evans 0.000084 boy
616 1880 Gideon 0.000084 boy
617 1880 Haywood 0.000084 boy
618 1880 Hilliard 0.000084 boy
619 1880 Hosea 0.000084 boy
620 1880 Lincoln 0.000084 boy
621 1880 Lonzo 0.000084 boy
622 1880 Lucious 0.000084 boy
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624 1880 Malachi 0.000084 boy
625 1880 Newt 0.000084 boy
626 1880 Noel 0.000084 boy
627 1880 Orie 0.000084 boy
628 1880 Palmer 0.000084 boy
629 1880 Pinkney 0.000084 boy
630 1880 Shirley 0.000084 boy
631 1880 Sumner 0.000084 boy
632 1880 Terry 0.000084 boy
633 1880 Urban 0.000084 boy
634 1880 Uriah 0.000084 boy
635 1880 Valentine 0.000084 boy
636 1880 Waldo 0.000084 boy
637 1880 Warner 0.000084 boy
638 1880 Wong 0.000084 boy
639 1880 Zeb 0.000084 boy
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641 1880 Alden 0.000076 boy
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643 1880 Avery 0.000076 boy
644 1880 Carson 0.000076 boy
645 1880 Cullen 0.000076 boy
646 1880 Doc 0.000076 boy
647 1880 Eben 0.000076 boy
648 1880 Elige 0.000076 boy
649 1880 Elizabeth 0.000076 boy
650 1880 Elmore 0.000076 boy
651 1880 Ernst 0.000076 boy
652 1880 Finis 0.000076 boy
653 1880 Freddie 0.000076 boy
654 1880 Godfrey 0.000076 boy
655 1880 Guss 0.000076 boy
656 1880 Hamp 0.000076 boy
657 1880 Hermann 0.000076 boy
658 1880 Isadore 0.000076 boy
659 1880 Isreal 0.000076 boy
660 1880 Jones 0.000076 boy
661 1880 June 0.000076 boy
662 1880 Lacy 0.000076 boy
663 1880 Lafe 0.000076 boy
664 1880 Leland 0.000076 boy
665 1880 Llewellyn 0.000076 boy
666 1880 Ludwig 0.000076 boy
667 1880 Manford 0.000076 boy
668 1880 Maxwell 0.000076 boy
669 1880 Minnie 0.000076 boy
670 1880 Obie 0.000076 boy
671 1880 Octave 0.000076 boy
672 1880 Orrin 0.000076 boy
673 1880 Ossie 0.000076 boy
674 1880 Oswald 0.000076 boy
675 1880 Park 0.000076 boy
676 1880 Parley 0.000076 boy
677 1880 Ramon 0.000076 boy
678 1880 Rice 0.000076 boy
679 1880 Stonewall 0.000076 boy
680 1880 Theo 0.000076 boy
681 1880 Tillman 0.000076 boy
682 1880 Addie 0.000068 boy
683 1880 Aron 0.000068 boy
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685 1880 Bernhard 0.000068 boy
686 1880 Bertie 0.000068 boy
687 1880 Berton 0.000068 boy
688 1880 Buster 0.000068 boy
689 1880 Butler 0.000068 boy
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693 1880 Clarance 0.000068 boy
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695 1880 Crawford 0.000068 boy
696 1880 Danial 0.000068 boy
697 1880 Dayton 0.000068 boy
698 1880 Dolphus 0.000068 boy
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700 1880 Ephriam 0.000068 boy
701 1880 Fayette 0.000068 boy
702 1880 Felipe 0.000068 boy
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704 1880 Flem 0.000068 boy
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706 1880 Ford 0.000068 boy
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709 1880 Henery 0.000068 boy
710 1880 Hoy 0.000068 boy
711 1880 Huston 0.000068 boy
712 1880 Ida 0.000068 boy
713 1880 Ivory 0.000068 boy
714 1880 Jonah 0.000068 boy
715 1880 Justin 0.000068 boy
716 1880 Lenard 0.000068 boy
717 1880 Leopold 0.000068 boy
718 1880 Lionel 0.000068 boy
719 1880 Manley 0.000068 boy
720 1880 Marquis 0.000068 boy
721 1880 Marshal 0.000068 boy
722 1880 Mart 0.000068 boy
723 1880 Odie 0.000068 boy
724 1880 Olen 0.000068 boy
725 1880 Oral 0.000068 boy
726 1880 Orley 0.000068 boy
727 1880 Otha 0.000068 boy
728 1880 Press 0.000068 boy
729 1880 Price 0.000068 boy
730 1880 Quincy 0.000068 boy
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732 1880 Rich 0.000068 boy
733 1880 Richmond 0.000068 boy
734 1880 Romeo 0.000068 boy
735 1880 Russel 0.000068 boy
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737 1880 Shade 0.000068 boy
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740 1880 Thurman 0.000068 boy
741 1880 Tilden 0.000068 boy
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744 1880 Worth 0.000068 boy
745 1880 Aden 0.000059 boy
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747 1880 Alf 0.000059 boy
748 1880 Algie 0.000059 boy
749 1880 Arlie 0.000059 boy
750 1880 Bart 0.000059 boy
751 1880 Bedford 0.000059 boy
752 1880 Benito 0.000059 boy
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755 1880 Birt 0.000059 boy
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757 1880 Burley 0.000059 boy
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760 1880 Cliff 0.000059 boy
761 1880 Clovis 0.000059 boy
762 1880 Connie 0.000059 boy
763 1880 Creed 0.000059 boy
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765 1880 Duke 0.000059 boy
766 1880 Eber 0.000059 boy
767 1880 Eligah 0.000059 boy
768 1880 Elliot 0.000059 boy
769 1880 Elton 0.000059 boy
770 1880 Emmitt 0.000059 boy
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772 1880 Golden 0.000059 boy
773 1880 Hal 0.000059 boy
774 1880 Hardin 0.000059 boy
775 1880 Harman 0.000059 boy
776 1880 Hervey 0.000059 boy
777 1880 Hollis 0.000059 boy
778 1880 Ivey 0.000059 boy
779 1880 Jennie 0.000059 boy
780 1880 Len 0.000059 boy
781 1880 Lindsay 0.000059 boy
782 1880 Lonie 0.000059 boy
783 1880 Lyle 0.000059 boy
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785 1880 Mal 0.000059 boy
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790 1880 Percival 0.000059 boy
791 1880 Pleas 0.000059 boy
792 1880 Ples 0.000059 boy
793 1880 Rafael 0.000059 boy
794 1880 Raoul 0.000059 boy
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797 1880 Shelton 0.000059 boy
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800 1880 Tobias 0.000059 boy
801 1880 Toney 0.000059 boy
802 1880 Tyler 0.000059 boy
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804 1880 Vivian 0.000059 boy
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806 1880 Watt 0.000059 boy
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808 1880 Wilton 0.000059 boy
809 1880 Adolf 0.000051 boy
810 1880 Albin 0.000051 boy
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812 1880 Allison 0.000051 boy
813 1880 Alpha 0.000051 boy
814 1880 Alpheus 0.000051 boy
815 1880 Anastacio 0.000051 boy
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817 1880 Annie 0.000051 boy
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819 1880 Armand 0.000051 boy
820 1880 Asberry 0.000051 boy
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825 1880 Author 0.000051 boy
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830 1880 Cato 0.000051 boy
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832 1880 Clemente 0.000051 boy
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840 1880 Davie 0.000051 boy
841 1880 Delmar 0.000051 boy
842 1880 Dexter 0.000051 boy
843 1880 Dora 0.000051 boy
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847 1880 Elam 0.000051 boy
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850 1880 Elsie 0.000051 boy
851 1880 Erie 0.000051 boy
852 1880 Ernie 0.000051 boy
853 1880 Ethel 0.000051 boy
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857 1880 Gary 0.000051 boy
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862 1880 Harrie 0.000051 boy
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870 1880 Ishmael 0.000051 boy
871 1880 Jarrett 0.000051 boy
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900 1880 Thad 0.000051 boy
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906 1880 Willian 0.000051 boy
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911 1880 Agustus 0.000042 boy
912 1880 Albertus 0.000042 boy
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915 1880 Alvia 0.000042 boy
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920 1880 Aurthur 0.000042 boy
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924 1880 Bartholomew 0.000042 boy
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937 1880 Chesley 0.000042 boy
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940 1880 Crockett 0.000042 boy
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947 1880 Edith 0.000042 boy
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950 1880 Eliga 0.000042 boy
951 1880 Eliseo 0.000042 boy
952 1880 Elroy 0.000042 boy
953 1880 Ely 0.000042 boy
954 1880 Ennis 0.000042 boy
955 1880 Enrique 0.000042 boy
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958 1880 Everette 0.000042 boy
959 1880 Firman 0.000042 boy
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963 1880 Gee 0.000042 boy
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969 1880 Halsey 0.000042 boy
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978 1880 Hosteen 0.000042 boy
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980 1880 Hudson 0.000042 boy
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984 1880 Hyrum 0.000042 boy
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988 1880 Jabez 0.000042 boy
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991 1880 Judd 0.000042 boy
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997 1880 Knute 0.000042 boy
998 1880 Lavern 0.000042 boy
999 1880 Lawyer 0.000042 boy
1000 1880 Layton 0.000042 boy
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1003 1881 James 0.050253 boy
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1005 1881 Charles 0.042828 boy
1006 1881 Frank 0.026170 boy
1007 1881 Joseph 0.022679 boy
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1009 1881 Thomas 0.021072 boy
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1021 1881 Clarence 0.006168 boy
1022 1881 Richard 0.005919 boy
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1025 1881 Ernest 0.005273 boy
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1038 1881 Elmer 0.003583 boy
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1102 1881 Perry 0.001136 boy
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1105 1881 Rufus 0.001117 boy
1106 1881 Harold 0.001108 boy
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1110 1881 Alonzo 0.001025 boy
1111 1881 Everett 0.001025 boy
1112 1881 Clifford 0.001016 boy
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1126 1881 Percy 0.000877 boy
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1982 1881 Rolland 0.000046 boy
1983 1881 Seward 0.000046 boy
1984 1881 Shannon 0.000046 boy
1985 1881 Talmage 0.000046 boy
1986 1881 Urban 0.000046 boy
1987 1881 Vaughn 0.000046 boy
1988 1881 Verner 0.000046 boy
1989 1881 Waverly 0.000046 boy
1990 1881 Webster 0.000046 boy
1991 1881 Weldon 0.000046 boy
1992 1881 Wells 0.000046 boy
1993 1881 Wiliam 0.000046 boy
1994 1881 Wilton 0.000046 boy
1995 1881 Wing 0.000046 boy
1996 1881 Wood 0.000046 boy
1997 1881 Wright 0.000046 boy
1998 1881 Ab 0.000037 boy
1999 1881 Add 0.000037 boy
2000 1881 Adelard 0.000037 boy
2001 1882 John 0.078314 boy
2002 1882 William 0.076191 boy
2003 1882 James 0.048281 boy
2004 1882 George 0.042553 boy
2005 1882 Charles 0.041726 boy
2006 1882 Frank 0.026025 boy
2007 1882 Joseph 0.021879 boy
2008 1882 Thomas 0.021387 boy
2009 1882 Henry 0.021133 boy
2010 1882 Robert 0.020486 boy
2011 1882 Edward 0.020297 boy
2012 1882 Harry 0.018290 boy
2013 1882 Walter 0.014791 boy
2014 1882 Arthur 0.013816 boy
2015 1882 Fred 0.013447 boy
2016 1882 Albert 0.012283 boy
2017 1882 Samuel 0.008219 boy
2018 1882 Louis 0.006982 boy
2019 1882 David 0.006867 boy
2020 1882 Clarence 0.006859 boy
2021 1882 Charlie 0.006170 boy
2022 1882 Richard 0.006113 boy
2023 1882 Joe 0.006056 boy
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2100 1882 Sidney 0.001196 boy
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2110 1882 Lester 0.001098 boy
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2232 1882 Clifton 0.000418 boy
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2243 1882 Ferdinand 0.000393 boy
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2246 1882 Enoch 0.000385 boy
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2249 1882 Cyrus 0.000377 boy
2250 1882 Delbert 0.000377 boy
2251 1882 Don 0.000377 boy
2252 1882 Louie 0.000377 boy
2253 1882 Marcus 0.000377 boy
2254 1882 Orville 0.000377 boy
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2276 1882 Winfield 0.000320 boy
2277 1882 Ambrose 0.000311 boy
2278 1882 Burton 0.000311 boy
2279 1882 Emory 0.000311 boy
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2281 1882 Roland 0.000311 boy
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4724 1884 Hoyt 0.000065 boy
4725 1884 Huston 0.000065 boy
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4727 1884 Ida 0.000065 boy
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4729 1884 Isadore 0.000065 boy
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4731 1884 Kirk 0.000065 boy
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4734 1884 Loran 0.000065 boy
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4736 1884 Mannie 0.000065 boy
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4740 1884 Newell 0.000065 boy
4741 1884 Ola 0.000065 boy
4742 1884 Oran 0.000065 boy
4743 1884 Paris 0.000065 boy
4744 1884 Perley 0.000065 boy
4745 1884 Pinkney 0.000065 boy
4746 1884 Rosco 0.000065 boy
4747 1884 Santiago 0.000065 boy
4748 1884 Son 0.000065 boy
4749 1884 Sumner 0.000065 boy
4750 1884 Theron 0.000065 boy
4751 1884 Thurman 0.000065 boy
4752 1884 Tobe 0.000065 boy
4753 1884 Tobias 0.000065 boy
4754 1884 Tollie 0.000065 boy
4755 1884 Verne 0.000065 boy
4756 1884 Vester 0.000065 boy
4757 1884 Vollie 0.000065 boy
4758 1884 Webb 0.000065 boy
4759 1884 Wilton 0.000065 boy
4760 1884 Woodie 0.000065 boy
4761 1884 Woodson 0.000065 boy
4762 1884 Woody 0.000065 boy
4763 1884 Wright 0.000065 boy
4764 1884 Adelard 0.000057 boy
4765 1884 Albion 0.000057 boy
4766 1884 Alcide 0.000057 boy
4767 1884 Alec 0.000057 boy
4768 1884 Alf 0.000057 boy
4769 1884 Allison 0.000057 boy
4770 1884 Alonza 0.000057 boy
4771 1884 Antone 0.000057 boy
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4773 1884 Asberry 0.000057 boy
4774 1884 Auther 0.000057 boy
4775 1884 Benjaman 0.000057 boy
4776 1884 Bernhard 0.000057 boy
4777 1884 Berton 0.000057 boy
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4779 1884 Bird 0.000057 boy
4780 1884 Bonnie 0.000057 boy
4781 1884 Bruno 0.000057 boy
4782 1884 Budd 0.000057 boy
4783 1884 Cameron 0.000057 boy
4784 1884 Catherine 0.000057 boy
4785 1884 Chancy 0.000057 boy
4786 1884 Collie 0.000057 boy
4787 1884 Commodore 0.000057 boy
4788 1884 Curley 0.000057 boy
4789 1884 Curt 0.000057 boy
4790 1884 Danial 0.000057 boy
4791 1884 Domingo 0.000057 boy
4792 1884 Ebenezer 0.000057 boy
4793 1884 Egbert 0.000057 boy
4794 1884 Elder 0.000057 boy
4795 1884 Elie 0.000057 boy
4796 1884 Eliga 0.000057 boy
4797 1884 Ellwood 0.000057 boy
4798 1884 Emilio 0.000057 boy
4799 1884 Emmit 0.000057 boy
4800 1884 Ethel 0.000057 boy
4801 1884 Ewald 0.000057 boy
4802 1884 Fayette 0.000057 boy
4803 1884 French 0.000057 boy
4804 1884 Gardner 0.000057 boy
4805 1884 Gaston 0.000057 boy
4806 1884 Griffin 0.000057 boy
4807 1884 Guadalupe 0.000057 boy
4808 1884 Hallie 0.000057 boy
4809 1884 Harper 0.000057 boy
4810 1884 Herb 0.000057 boy
4811 1884 Hermon 0.000057 boy
4812 1884 Hilliard 0.000057 boy
4813 1884 Humphrey 0.000057 boy
4814 1884 Isreal 0.000057 boy
4815 1884 Iva 0.000057 boy
4816 1884 Jarvis 0.000057 boy
4817 1884 Jimmy 0.000057 boy
4818 1884 Julia 0.000057 boy
4819 1884 Lacy 0.000057 boy
4820 1884 Levy 0.000057 boy
4821 1884 Mart 0.000057 boy
4822 1884 Melton 0.000057 boy
4823 1884 Nickolas 0.000057 boy
4824 1884 Nolan 0.000057 boy
4825 1884 Odell 0.000057 boy
4826 1884 Olie 0.000057 boy
4827 1884 Orla 0.000057 boy
4828 1884 Orley 0.000057 boy
4829 1884 Otha 0.000057 boy
4830 1884 Press 0.000057 boy
4831 1884 Price 0.000057 boy
4832 1884 Rollo 0.000057 boy
4833 1884 Ruffus 0.000057 boy
4834 1884 Sheldon 0.000057 boy
4835 1884 Shelton 0.000057 boy
4836 1884 Silvester 0.000057 boy
4837 1884 Stafford 0.000057 boy
4838 1884 Sullivan 0.000057 boy
4839 1884 Theo 0.000057 boy
4840 1884 Thornton 0.000057 boy
4841 1884 Thurston 0.000057 boy
4842 1884 Waldo 0.000057 boy
4843 1884 Wayman 0.000057 boy
4844 1884 Weldon 0.000057 boy
4845 1884 Wes 0.000057 boy
4846 1884 Winnie 0.000057 boy
4847 1884 Worth 0.000057 boy
4848 1884 Adolf 0.000049 boy
4849 1884 Alden 0.000049 boy
4850 1884 Algie 0.000049 boy
4851 1884 Almer 0.000049 boy
4852 1884 Alphonsus 0.000049 boy
4853 1884 Alvis 0.000049 boy
4854 1884 Ancel 0.000049 boy
4855 1884 Andres 0.000049 boy
4856 1884 Antoine 0.000049 boy
4857 1884 Armand 0.000049 boy
4858 1884 Ashley 0.000049 boy
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4860 1884 Bailey 0.000049 boy
4861 1884 Bernie 0.000049 boy
4862 1884 Booker 0.000049 boy
4863 1884 Boss 0.000049 boy
4864 1884 Brady 0.000049 boy
4865 1884 Brooks 0.000049 boy
4866 1884 Bryant 0.000049 boy
4867 1884 Burke 0.000049 boy
4868 1884 Burrel 0.000049 boy
4869 1884 Cal 0.000049 boy
4870 1884 Carleton 0.000049 boy
4871 1884 Cass 0.000049 boy
4872 1884 Cassius 0.000049 boy
4873 1884 Chesley 0.000049 boy
4874 1884 Cleo 0.000049 boy
4875 1884 Cleon 0.000049 boy
4876 1884 Dalton 0.000049 boy
4877 1884 Delmar 0.000049 boy
4878 1884 Denis 0.000049 boy
4879 1884 Dillard 0.000049 boy
4880 1884 Dora 0.000049 boy
4881 1884 Doss 0.000049 boy
4882 1884 Dozier 0.000049 boy
4883 1884 Ebb 0.000049 boy
4884 1884 Edna 0.000049 boy
4885 1884 Elbridge 0.000049 boy
4886 1884 Elden 0.000049 boy
4887 1884 Eldon 0.000049 boy
4888 1884 Eldridge 0.000049 boy
4889 1884 Eligah 0.000049 boy
4890 1884 Ella 0.000049 boy
4891 1884 Ellie 0.000049 boy
4892 1884 Elliot 0.000049 boy
4893 1884 Elroy 0.000049 boy
4894 1884 Elva 0.000049 boy
4895 1884 Emit 0.000049 boy
4896 1884 Fulton 0.000049 boy
4897 1884 Geo 0.000049 boy
4898 1884 Gerhard 0.000049 boy
4899 1884 Gottlieb 0.000049 boy
4900 1884 Graham 0.000049 boy
4901 1884 Handy 0.000049 boy
4902 1884 Helmer 0.000049 boy
4903 1884 Hill 0.000049 boy
4904 1884 Hillard 0.000049 boy
4905 1884 Hjalmer 0.000049 boy
4906 1884 Hubbard 0.000049 boy
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4908 1884 Hurley 0.000049 boy
4909 1884 Ignatz 0.000049 boy
4910 1884 Isham 0.000049 boy
4911 1884 Jarrett 0.000049 boy
4912 1884 Jewel 0.000049 boy
4913 1884 Joeseph 0.000049 boy
4914 1884 Jule 0.000049 boy
4915 1884 Juluis 0.000049 boy
4916 1884 Junious 0.000049 boy
4917 1884 Justin 0.000049 boy
4918 1884 Justus 0.000049 boy
4919 1884 Kelley 0.000049 boy
4920 1884 Landon 0.000049 boy
4921 1884 Larkin 0.000049 boy
4922 1884 Lawyer 0.000049 boy
4923 1884 Lillian 0.000049 boy
4924 1884 Linwood 0.000049 boy
4925 1884 Lionel 0.000049 boy
4926 1884 Lorenza 0.000049 boy
4927 1884 Malcom 0.000049 boy
4928 1884 Marlin 0.000049 boy
4929 1884 Maude 0.000049 boy
4930 1884 Miller 0.000049 boy
4931 1884 Miner 0.000049 boy
4932 1884 Moody 0.000049 boy
4933 1884 Myrtle 0.000049 boy
4934 1884 Namon 0.000049 boy
4935 1884 Newt 0.000049 boy
4936 1884 Ocie 0.000049 boy
4937 1884 Oda 0.000049 boy
4938 1884 Odin 0.000049 boy
4939 1884 Odis 0.000049 boy
4940 1884 Oley 0.000049 boy
4941 1884 Omar 0.000049 boy
4942 1884 Orie 0.000049 boy
4943 1884 Orson 0.000049 boy
4944 1884 Osborn 0.000049 boy
4945 1884 Osie 0.000049 boy
4946 1884 Ossie 0.000049 boy
4947 1884 Palmer 0.000049 boy
4948 1884 Percival 0.000049 boy
4949 1884 Pleasant 0.000049 boy
4950 1884 Prentice 0.000049 boy
4951 1884 Purl 0.000049 boy
4952 1884 Reece 0.000049 boy
4953 1884 Roby 0.000049 boy
4954 1884 Sarah 0.000049 boy
4955 1884 Seaborn 0.000049 boy
4956 1884 Shep 0.000049 boy
4957 1884 Simmie 0.000049 boy
4958 1884 Spurgeon 0.000049 boy
4959 1884 Stanislaus 0.000049 boy
4960 1884 Thad 0.000049 boy
4961 1884 Tilman 0.000049 boy
4962 1884 Titus 0.000049 boy
4963 1884 Tommy 0.000049 boy
4964 1884 Urban 0.000049 boy
4965 1884 Vander 0.000049 boy
4966 1884 Vicente 0.000049 boy
4967 1884 Watt 0.000049 boy
4968 1884 Whit 0.000049 boy
4969 1884 Wilhelm 0.000049 boy
4970 1884 Zollie 0.000049 boy
4971 1884 Abb 0.000041 boy
4972 1884 Ace 0.000041 boy
4973 1884 Aden 0.000041 boy
4974 1884 Ah 0.000041 boy
4975 1884 Aleck 0.000041 boy
4976 1884 Almond 0.000041 boy
4977 1884 Alpheus 0.000041 boy
4978 1884 Alvy 0.000041 boy
4979 1884 Bayard 0.000041 boy
4980 1884 Bedford 0.000041 boy
4981 1884 Bee 0.000041 boy
4982 1884 Beecher 0.000041 boy
4983 1884 Benny 0.000041 boy
4984 1884 Bessie 0.000041 boy
4985 1884 Birt 0.000041 boy
4986 1884 Blain 0.000041 boy
4987 1884 Blair 0.000041 boy
4988 1884 Boston 0.000041 boy
4989 1884 Bowman 0.000041 boy
4990 1884 Bunk 0.000041 boy
4991 1884 Burgess 0.000041 boy
4992 1884 Burrell 0.000041 boy
4993 1884 Butler 0.000041 boy
4994 1884 Carol 0.000041 boy
4995 1884 Carrie 0.000041 boy
4996 1884 Chalmers 0.000041 boy
4997 1884 Charly 0.000041 boy
4998 1884 Chin 0.000041 boy
4999 1884 Clell 0.000041 boy
5000 1884 Cody 0.000041 boy
5001 1885 John 0.075517 boy
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5004 1885 George 0.040312 boy
5005 1885 Charles 0.039665 boy
5006 1885 Frank 0.026452 boy
5007 1885 Joseph 0.021907 boy
5008 1885 Henry 0.020751 boy
5009 1885 Robert 0.020018 boy
5010 1885 Thomas 0.019543 boy
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5017 1885 Clarence 0.007814 boy
5018 1885 Samuel 0.007659 boy
5019 1885 Louis 0.006977 boy
5020 1885 Grover 0.006624 boy
5021 1885 Ernest 0.006192 boy
5022 1885 David 0.006141 boy
5023 1885 Charlie 0.006080 boy
5024 1885 Roy 0.005960 boy
5025 1885 Joe 0.005873 boy
5026 1885 Richard 0.005796 boy
5027 1885 Will 0.005390 boy
5028 1885 Oscar 0.005373 boy
5029 1885 Willie 0.005296 boy
5030 1885 Andrew 0.005166 boy
5031 1885 Jesse 0.004795 boy
5032 1885 Daniel 0.004614 boy
5033 1885 Peter 0.004450 boy
5034 1885 Carl 0.004261 boy
5035 1885 Sam 0.004243 boy
5036 1885 Earl 0.004148 boy
5037 1885 Frederick 0.004019 boy
5038 1885 Benjamin 0.004002 boy
5039 1885 Alfred 0.003847 boy
5040 1885 Elmer 0.003821 boy
5041 1885 Howard 0.003778 boy
5042 1885 Lewis 0.003769 boy
5043 1885 Paul 0.003691 boy
5044 1885 Ralph 0.003640 boy
5045 1885 Herbert 0.003346 boy
5046 1885 Jim 0.003191 boy
5047 1885 Michael 0.003191 boy
5048 1885 Tom 0.003113 boy
5049 1885 Martin 0.003079 boy
5050 1885 Lee 0.003001 boy
5051 1885 Eugene 0.002975 boy
5052 1885 Claude 0.002958 boy
5053 1885 Jacob 0.002958 boy
5054 1885 Ed 0.002829 boy
5055 1885 Herman 0.002812 boy
5056 1885 Francis 0.002760 boy
5057 1885 Clyde 0.002743 boy
5058 1885 Raymond 0.002648 boy
5059 1885 Harvey 0.002622 boy
5060 1885 Edgar 0.002613 boy
5061 1885 Jack 0.002544 boy
5062 1885 Ben 0.002518 boy
5063 1885 Edwin 0.002493 boy
5064 1885 Lawrence 0.002484 boy
5065 1885 Charley 0.002458 boy
5066 1885 Bert 0.002380 boy
5067 1885 Chester 0.002355 boy
5068 1885 Guy 0.002294 boy
5069 1885 Otto 0.002268 boy
5070 1885 Floyd 0.002234 boy
5071 1885 Luther 0.002234 boy
5072 1885 Oliver 0.002225 boy
5073 1885 Hugh 0.002217 boy
5074 1885 Ray 0.002044 boy
5075 1885 Ira 0.002027 boy
5076 1885 Homer 0.001966 boy
5077 1885 Patrick 0.001872 boy
5078 1885 Alexander 0.001768 boy
5079 1885 Leonard 0.001768 boy
5080 1885 Isaac 0.001759 boy
5081 1885 Jessie 0.001742 boy
5082 1885 Harold 0.001734 boy
5083 1885 Leo 0.001716 boy
5084 1885 Theodore 0.001716 boy
5085 1885 Archie 0.001690 boy
5086 1885 August 0.001665 boy
5087 1885 Allen 0.001587 boy
5088 1885 Sidney 0.001466 boy
5089 1885 Philip 0.001406 boy
5090 1885 Leroy 0.001397 boy
5091 1885 Bernard 0.001380 boy
5092 1885 Alex 0.001371 boy
5093 1885 Stephen 0.001363 boy
5094 1885 Horace 0.001337 boy
5095 1885 Anthony 0.001320 boy
5096 1885 Warren 0.001302 boy
5097 1885 Julius 0.001294 boy
5098 1885 Cleveland 0.001268 boy
5099 1885 Leon 0.001259 boy
5100 1885 Victor 0.001233 boy
5101 1885 Eddie 0.001216 boy
5102 1885 Lester 0.001216 boy
5103 1885 Marion 0.001216 boy
5104 1885 Clifford 0.001199 boy
5105 1885 Emil 0.001190 boy
5106 1885 Willis 0.001147 boy
5107 1885 Milton 0.001121 boy
5108 1885 Dan 0.001113 boy
5109 1885 Dave 0.001104 boy
5110 1885 Everett 0.001104 boy
5111 1885 Alvin 0.001078 boy
5112 1885 Leslie 0.001052 boy
5113 1885 Earnest 0.001035 boy
5114 1885 Calvin 0.001026 boy
5115 1885 Jess 0.001026 boy
5116 1885 Norman 0.001018 boy
5117 1885 Rufus 0.001018 boy
5118 1885 Franklin 0.001009 boy
5119 1885 Jerry 0.000992 boy
5120 1885 Perry 0.000992 boy
5121 1885 Amos 0.000983 boy
5122 1885 Dennis 0.000966 boy
5123 1885 Jose 0.000957 boy
5124 1885 Matthew 0.000957 boy
5125 1885 Melvin 0.000949 boy
5126 1885 Lloyd 0.000940 boy
5127 1885 Ross 0.000940 boy
5128 1885 Wesley 0.000931 boy
5129 1885 Wallace 0.000923 boy
5130 1885 Alonzo 0.000897 boy
5131 1885 Mack 0.000897 boy
5132 1885 Nathan 0.000888 boy
5133 1885 Adolph 0.000880 boy
5134 1885 Emmett 0.000871 boy
5135 1885 Jake 0.000862 boy
5136 1885 Morris 0.000854 boy
5137 1885 Percy 0.000845 boy
5138 1885 Roscoe 0.000845 boy
5139 1885 Claud 0.000837 boy
5140 1885 Stanley 0.000837 boy
5141 1885 Adam 0.000828 boy
5142 1885 Cornelius 0.000828 boy
5143 1885 Maurice 0.000828 boy
5144 1885 Willard 0.000819 boy
5145 1885 Russell 0.000811 boy
5146 1885 Elbert 0.000793 boy
5147 1885 Hiram 0.000793 boy
5148 1885 Wilbur 0.000793 boy
5149 1885 Irvin 0.000785 boy
5150 1885 Jay 0.000785 boy
5151 1885 Manuel 0.000776 boy
5152 1885 Otis 0.000768 boy
5153 1885 Aaron 0.000759 boy
5154 1885 Cecil 0.000750 boy
5155 1885 Gus 0.000750 boy
5156 1885 Jasper 0.000750 boy
5157 1885 Phillip 0.000750 boy
5158 1885 Abraham 0.000742 boy
5159 1885 Mike 0.000724 boy
5160 1885 Nelson 0.000716 boy
5161 1885 Simon 0.000716 boy
5162 1885 Clinton 0.000707 boy
5163 1885 Elijah 0.000707 boy
5164 1885 Sylvester 0.000707 boy
5165 1885 Virgil 0.000707 boy
5166 1885 Felix 0.000690 boy
5167 1885 Levi 0.000681 boy
5168 1885 Orville 0.000681 boy
5169 1885 Ellis 0.000673 boy
5170 1885 Irving 0.000673 boy
5171 1885 Marshall 0.000673 boy
5172 1885 Gilbert 0.000664 boy
5173 1885 Ollie 0.000664 boy
5174 1885 Noah 0.000655 boy
5175 1885 Wiley 0.000655 boy
5176 1885 Anton 0.000638 boy
5177 1885 Lonnie 0.000638 boy
5178 1885 Mark 0.000638 boy
5179 1885 Moses 0.000638 boy
5180 1885 Silas 0.000630 boy
5181 1885 Hubert 0.000621 boy
5182 1885 Reuben 0.000621 boy
5183 1885 Christopher 0.000612 boy
5184 1885 Johnnie 0.000612 boy
5185 1885 Max 0.000612 boy
5186 1885 Vernon 0.000612 boy
5187 1885 Curtis 0.000604 boy
5188 1885 Owen 0.000604 boy
5189 1885 Rudolph 0.000604 boy
5190 1885 Augustus 0.000595 boy
5191 1885 Cleve 0.000595 boy
5192 1885 Clayton 0.000586 boy
5193 1885 Edmund 0.000586 boy
5194 1885 Glenn 0.000586 boy
5195 1885 Bill 0.000569 boy
5196 1885 Nicholas 0.000569 boy
5197 1885 Marvin 0.000561 boy
5198 1885 Sherman 0.000561 boy
5199 1885 Timothy 0.000552 boy
5200 1885 Jeff 0.000543 boy
5201 1885 Millard 0.000543 boy
5202 1885 Fredrick 0.000535 boy
5203 1885 Newton 0.000526 boy
5204 1885 Elias 0.000517 boy
5205 1885 Steve 0.000517 boy
5206 1885 Dock 0.000509 boy
5207 1885 Grant 0.000509 boy
5208 1885 Wilson 0.000509 boy
5209 1885 Ora 0.000500 boy
5210 1885 Riley 0.000500 boy
5211 1885 Solomon 0.000500 boy
5212 1885 Pearl 0.000492 boy
5213 1885 Bruce 0.000483 boy
5214 1885 Eli 0.000483 boy
5215 1885 Joel 0.000483 boy
5216 1885 Pete 0.000483 boy
5217 1885 Andy 0.000474 boy
5218 1885 Christian 0.000474 boy
5219 1885 Gustave 0.000474 boy
5220 1885 Austin 0.000466 boy
5221 1885 Clifton 0.000466 boy
5222 1885 Juan 0.000466 boy
5223 1885 Monroe 0.000466 boy
5224 1885 Nathaniel 0.000466 boy
5225 1885 Wade 0.000466 boy
5226 1885 Jerome 0.000457 boy
5227 1885 Bob 0.000448 boy
5228 1885 Miles 0.000448 boy
5229 1885 Scott 0.000448 boy
5230 1885 Bennie 0.000440 boy
5231 1885 Edd 0.000440 boy
5232 1885 Harley 0.000440 boy
5233 1885 Chris 0.000431 boy
5234 1885 Luke 0.000431 boy
5235 1885 Mose 0.000431 boy
5236 1885 Julian 0.000423 boy
5237 1885 Gordon 0.000414 boy
5238 1885 Preston 0.000414 boy
5239 1885 Roland 0.000414 boy
5240 1885 Vincent 0.000414 boy
5241 1885 Abe 0.000405 boy
5242 1885 Donald 0.000405 boy
5243 1885 Alva 0.000397 boy
5244 1885 Byron 0.000397 boy
5245 1885 Clark 0.000388 boy
5246 1885 Glen 0.000388 boy
5247 1885 Harrison 0.000388 boy
5248 1885 Bud 0.000379 boy
5249 1885 Karl 0.000379 boy
5250 1885 Marcus 0.000379 boy
5251 1885 Asa 0.000371 boy
5252 1885 Barney 0.000371 boy
5253 1885 Enoch 0.000371 boy
5254 1885 Joshua 0.000371 boy
5255 1885 Louie 0.000371 boy
5256 1885 Anderson 0.000362 boy
5257 1885 Delbert 0.000362 boy
5258 1885 Columbus 0.000354 boy
5259 1885 Emery 0.000354 boy
5260 1885 Ike 0.000354 boy
5261 1885 Kenneth 0.000354 boy
5262 1885 Matt 0.000354 boy
5263 1885 Boyd 0.000345 boy
5264 1885 Cyrus 0.000345 boy
5265 1885 Jeremiah 0.000345 boy
5266 1885 Conrad 0.000336 boy
5267 1885 Lucius 0.000336 boy
5268 1885 Elisha 0.000328 boy
5269 1885 Jefferson 0.000328 boy
5270 1885 Lon 0.000328 boy
5271 1885 Mary 0.000328 boy
5272 1885 Nick 0.000328 boy
5273 1885 Van 0.000328 boy
5274 1885 Chas 0.000319 boy
5275 1885 Major 0.000319 boy
5276 1885 Wilfred 0.000319 boy
5277 1885 Edmond 0.000310 boy
5278 1885 Ferdinand 0.000310 boy
5279 1885 Forrest 0.000310 boy
5280 1885 General 0.000310 boy
5281 1885 Porter 0.000310 boy
5282 1885 Don 0.000302 boy
5283 1885 Ervin 0.000302 boy
5284 1885 Clem 0.000293 boy
5285 1885 Emory 0.000293 boy
5286 1885 Garfield 0.000293 boy
5287 1885 Hugo 0.000293 boy
5288 1885 Mathew 0.000293 boy
5289 1885 Seth 0.000293 boy
5290 1885 Arnold 0.000285 boy
5291 1885 Hans 0.000285 boy
5292 1885 Johnie 0.000285 boy
5293 1885 Laurence 0.000285 boy
5294 1885 Neal 0.000285 boy
5295 1885 Tony 0.000285 boy
5296 1885 Ulysses 0.000285 boy
5297 1885 Winfield 0.000285 boy
5298 1885 Abner 0.000276 boy
5299 1885 Ambrose 0.000276 boy
5300 1885 Burton 0.000276 boy
5301 1885 Emanuel 0.000276 boy
5302 1885 Frederic 0.000276 boy
5303 1885 Green 0.000276 boy
5304 1885 Logan 0.000276 boy
5305 1885 Lemuel 0.000267 boy
5306 1885 Ole 0.000267 boy
5307 1885 Arch 0.000259 boy
5308 1885 Douglas 0.000259 boy
5309 1885 Dwight 0.000259 boy
5310 1885 Forest 0.000259 boy
5311 1885 Jonathan 0.000259 boy
5312 1885 Alton 0.000250 boy
5313 1885 Isaiah 0.000250 boy
5314 1885 Jackson 0.000250 boy
5315 1885 Lyman 0.000250 boy
5316 1885 Mitchell 0.000250 boy
5317 1885 Vern 0.000250 boy
5318 1885 Carlos 0.000241 boy
5319 1885 Dee 0.000241 boy
5320 1885 Dudley 0.000241 boy
5321 1885 Elwood 0.000241 boy
5322 1885 Francisco 0.000241 boy
5323 1885 Gustav 0.000241 boy
5324 1885 Royal 0.000241 boy
5325 1885 Ruben 0.000241 boy
5326 1885 Smith 0.000241 boy
5327 1885 Antonio 0.000233 boy
5328 1885 Dick 0.000233 boy
5329 1885 Freeman 0.000233 boy
5330 1885 Lorenzo 0.000233 boy
5331 1885 Roger 0.000233 boy
5332 1885 Benjiman 0.000224 boy
5333 1885 Carroll 0.000224 boy
5334 1885 Erwin 0.000224 boy
5335 1885 Isiah 0.000224 boy
5336 1885 Ivan 0.000224 boy
5337 1885 Merle 0.000224 boy
5338 1885 Morgan 0.000224 boy
5339 1885 Napoleon 0.000224 boy
5340 1885 Ned 0.000224 boy
5341 1885 Neil 0.000224 boy
5342 1885 Sol 0.000224 boy
5343 1885 Taylor 0.000224 boy
5344 1885 Alphonse 0.000216 boy
5345 1885 Archibald 0.000216 boy
5346 1885 Chauncey 0.000216 boy
5347 1885 Dale 0.000216 boy
5348 1885 Foster 0.000216 boy
5349 1885 Jimmie 0.000216 boy
5350 1885 King 0.000216 boy
5351 1885 Lucian 0.000216 boy
5352 1885 Lynn 0.000216 boy
5353 1885 Pink 0.000216 boy
5354 1885 Sydney 0.000216 boy
5355 1885 Adolphus 0.000207 boy
5356 1885 Berry 0.000207 boy
5357 1885 Enos 0.000207 boy
5358 1885 Ezra 0.000207 boy
5359 1885 Fletcher 0.000207 boy
5360 1885 Hosea 0.000207 boy
5361 1885 Loyd 0.000207 boy
5362 1885 Wayne 0.000207 boy
5363 1885 Wilbert 0.000207 boy
5364 1885 Alvah 0.000198 boy
5365 1885 Christ 0.000198 boy
5366 1885 Earle 0.000198 boy
5367 1885 Evan 0.000198 boy
5368 1885 Gerald 0.000198 boy
5369 1885 Granville 0.000198 boy
5370 1885 Jonas 0.000198 boy
5371 1885 Josh 0.000198 boy
5372 1885 Lafayette 0.000198 boy
5373 1885 Leland 0.000198 boy
5374 1885 Pat 0.000198 boy
5375 1885 Pedro 0.000198 boy
5376 1885 Spencer 0.000198 boy
5377 1885 Walker 0.000198 boy
5378 1885 Ward 0.000198 boy
5379 1885 Wm 0.000198 boy
5380 1885 Arther 0.000190 boy
5381 1885 Casper 0.000190 boy
5382 1885 Israel 0.000190 boy
5383 1885 Raleigh 0.000190 boy
5384 1885 Sanford 0.000190 boy
5385 1885 Sim 0.000190 boy
5386 1885 Stewart 0.000190 boy
5387 1885 Wilber 0.000190 boy
5388 1885 Davis 0.000181 boy
5389 1885 Johnny 0.000181 boy
5390 1885 Milo 0.000181 boy
5391 1885 Murray 0.000181 boy
5392 1885 Myron 0.000181 boy
5393 1885 Olaf 0.000181 boy
5394 1885 Prince 0.000181 boy
5395 1885 Randolph 0.000181 boy
5396 1885 Rollie 0.000181 boy
5397 1885 Steven 0.000181 boy
5398 1885 Washington 0.000181 boy
5399 1885 Anna 0.000172 boy
5400 1885 Blaine 0.000172 boy
5401 1885 Burt 0.000172 boy
5402 1885 Dallas 0.000172 boy
5403 1885 Emmet 0.000172 boy
5404 1885 Gene 0.000172 boy
5405 1885 Loren 0.000172 boy
5406 1885 Madison 0.000172 boy
5407 1885 Nels 0.000172 boy
5408 1885 Orin 0.000172 boy
5409 1885 Wilford 0.000172 boy
5410 1885 Zack 0.000172 boy
5411 1885 Allan 0.000164 boy
5412 1885 Allie 0.000164 boy
5413 1885 Bertram 0.000164 boy
5414 1885 Clint 0.000164 boy
5415 1885 Dewitt 0.000164 boy
5416 1885 Emile 0.000164 boy
5417 1885 Ernst 0.000164 boy
5418 1885 Harmon 0.000164 boy
5419 1885 Larry 0.000164 boy
5420 1885 Merritt 0.000164 boy
5421 1885 Sandy 0.000164 boy
5422 1885 Bryant 0.000155 boy
5423 1885 Buck 0.000155 boy
5424 1885 Carlton 0.000155 boy
5425 1885 Clay 0.000155 boy
5426 1885 Elmore 0.000155 boy
5427 1885 Fay 0.000155 boy
5428 1885 Guss 0.000155 boy
5429 1885 Judson 0.000155 boy
5430 1885 Lem 0.000155 boy
5431 1885 Lew 0.000155 boy
5432 1885 Olin 0.000155 boy
5433 1885 Omer 0.000155 boy
5434 1885 Otho 0.000155 boy
5435 1885 Ramon 0.000155 boy
5436 1885 Sterling 0.000155 boy
5437 1885 Troy 0.000155 boy
5438 1885 Wash 0.000155 boy
5439 1885 Abram 0.000147 boy
5440 1885 Addison 0.000147 boy
5441 1885 Al 0.000147 boy
5442 1885 Burl 0.000147 boy
5443 1885 Cary 0.000147 boy
5444 1885 Coleman 0.000147 boy
5445 1885 Elzie 0.000147 boy
5446 1885 Emerson 0.000147 boy
5447 1885 Fritz 0.000147 boy
5448 1885 Gerhard 0.000147 boy
5449 1885 Isom 0.000147 boy
5450 1885 Issac 0.000147 boy
5451 1885 Jean 0.000147 boy
5452 1885 Jordan 0.000147 boy
5453 1885 Josiah 0.000147 boy
5454 1885 Noble 0.000147 boy
5455 1885 Orval 0.000147 boy
5456 1885 Rex 0.000147 boy
5457 1885 Shirley 0.000147 boy
5458 1885 Tomas 0.000147 boy
5459 1885 Truman 0.000147 boy
5460 1885 Waldo 0.000147 boy
5461 1885 Warner 0.000147 boy
5462 1885 Adelbert 0.000138 boy
5463 1885 Albin 0.000138 boy
5464 1885 Axel 0.000138 boy
5465 1885 Caleb 0.000138 boy
5466 1885 Ellsworth 0.000138 boy
5467 1885 Eric 0.000138 boy
5468 1885 Jason 0.000138 boy
5469 1885 Jonah 0.000138 boy
5470 1885 Judge 0.000138 boy
5471 1885 Leander 0.000138 boy
5472 1885 Lenard 0.000138 boy
5473 1885 Lige 0.000138 boy
5474 1885 Orlando 0.000138 boy
5475 1885 Pablo 0.000138 boy
5476 1885 Reginald 0.000138 boy
5477 1885 Tim 0.000138 boy
5478 1885 Valentine 0.000138 boy
5479 1885 Wilmer 0.000138 boy
5480 1885 Aloysius 0.000129 boy
5481 1885 Bartholomew 0.000129 boy
5482 1885 Benjaman 0.000129 boy
5483 1885 Billie 0.000129 boy
5484 1885 Cicero 0.000129 boy
5485 1885 Early 0.000129 boy
5486 1885 Elza 0.000129 boy
5487 1885 Erastus 0.000129 boy
5488 1885 Giles 0.000129 boy
5489 1885 Gust 0.000129 boy
5490 1885 Hal 0.000129 boy
5491 1885 Hardy 0.000129 boy
5492 1885 Kelly 0.000129 boy
5493 1885 Mason 0.000129 boy
5494 1885 Nat 0.000129 boy
5495 1885 Omar 0.000129 boy
5496 1885 Pierce 0.000129 boy
5497 1885 Verne 0.000129 boy
5498 1885 Angus 0.000121 boy
5499 1885 Antone 0.000121 boy
5500 1885 Basil 0.000121 boy
5501 1885 Bennett 0.000121 boy
5502 1885 Buster 0.000121 boy
5503 1885 Clair 0.000121 boy
5504 1885 Cliff 0.000121 boy
5505 1885 Dell 0.000121 boy
5506 1885 Dolphus 0.000121 boy
5507 1885 Duncan 0.000121 boy
5508 1885 Elmo 0.000121 boy
5509 1885 Emma 0.000121 boy
5510 1885 Harris 0.000121 boy
5511 1885 Jesus 0.000121 boy
5512 1885 Kirby 0.000121 boy
5513 1885 Lamar 0.000121 boy
5514 1885 Len 0.000121 boy
5515 1885 Lucien 0.000121 boy
5516 1885 Malcolm 0.000121 boy
5517 1885 Oren 0.000121 boy
5518 1885 Phil 0.000121 boy
5519 1885 Thaddeus 0.000121 boy
5520 1885 Webster 0.000121 boy
5521 1885 Ashley 0.000112 boy
5522 1885 Bertha 0.000112 boy
5523 1885 Beverly 0.000112 boy
5524 1885 Carey 0.000112 boy
5525 1885 Elliott 0.000112 boy
5526 1885 Ethel 0.000112 boy
5527 1885 Everette 0.000112 boy
5528 1885 Evert 0.000112 boy
5529 1885 Gideon 0.000112 boy
5530 1885 Hayes 0.000112 boy
5531 1885 Henderson 0.000112 boy
5532 1885 Henery 0.000112 boy
5533 1885 Houston 0.000112 boy
5534 1885 Johnson 0.000112 boy
5535 1885 Jones 0.000112 boy
5536 1885 Jules 0.000112 boy
5537 1885 Lou 0.000112 boy
5538 1885 Lyle 0.000112 boy
5539 1885 Mat 0.000112 boy
5540 1885 Mathias 0.000112 boy
5541 1885 Pleasant 0.000112 boy
5542 1885 Rodney 0.000112 boy
5543 1885 Stuart 0.000112 boy
5544 1885 Turner 0.000112 boy
5545 1885 Wilburn 0.000112 boy
5546 1885 Wylie 0.000112 boy
5547 1885 Adrian 0.000103 boy
5548 1885 Alpha 0.000103 boy
5549 1885 Augustine 0.000103 boy
5550 1885 Avery 0.000103 boy
5551 1885 Benedict 0.000103 boy
5552 1885 Bishop 0.000103 boy
5553 1885 Brown 0.000103 boy
5554 1885 Butler 0.000103 boy
5555 1885 Cyril 0.000103 boy
5556 1885 Doc 0.000103 boy
5557 1885 Elvin 0.000103 boy
5558 1885 Florence 0.000103 boy
5559 1885 Frances 0.000103 boy
5560 1885 Garland 0.000103 boy
5561 1885 Heber 0.000103 boy
5562 1885 Helmer 0.000103 boy
5563 1885 Irwin 0.000103 boy
5564 1885 Lacy 0.000103 boy
5565 1885 Lawson 0.000103 boy
5566 1885 Lonzo 0.000103 boy
5567 1885 Merton 0.000103 boy
5568 1885 Mervin 0.000103 boy
5569 1885 Mont 0.000103 boy
5570 1885 Norris 0.000103 boy
5571 1885 Perley 0.000103 boy
5572 1885 Ransom 0.000103 boy
5573 1885 Santiago 0.000103 boy
5574 1885 Tommie 0.000103 boy
5575 1885 Tracy 0.000103 boy
5576 1885 Vance 0.000103 boy
5577 1885 Alan 0.000095 boy
5578 1885 Alford 0.000095 boy
5579 1885 Aron 0.000095 boy
5580 1885 Artie 0.000095 boy
5581 1885 Aubrey 0.000095 boy
5582 1885 Bertie 0.000095 boy
5583 1885 Brooks 0.000095 boy
5584 1885 Colonel 0.000095 boy
5585 1885 Dean 0.000095 boy
5586 1885 Emmitt 0.000095 boy
5587 1885 Ephraim 0.000095 boy
5588 1885 Freddie 0.000095 boy
5589 1885 Gabriel 0.000095 boy
5590 1885 Junius 0.000095 boy
5591 1885 Lincoln 0.000095 boy
5592 1885 Lucious 0.000095 boy
5593 1885 Luis 0.000095 boy
5594 1885 Marcellus 0.000095 boy
5595 1885 Margaret 0.000095 boy
5596 1885 Micheal 0.000095 boy
5597 1885 Mortimer 0.000095 boy
5598 1885 Price 0.000095 boy
5599 1885 Rolla 0.000095 boy
5600 1885 Rowland 0.000095 boy
5601 1885 Rupert 0.000095 boy
5602 1885 Saul 0.000095 boy
5603 1885 Travis 0.000095 boy
5604 1885 Wellington 0.000095 boy
5605 1885 Williams 0.000095 boy
5606 1885 Allison 0.000086 boy
5607 1885 Alma 0.000086 boy
5608 1885 Almon 0.000086 boy
5609 1885 Ashby 0.000086 boy
5610 1885 Bart 0.000086 boy
5611 1885 Benton 0.000086 boy
5612 1885 Birt 0.000086 boy
5613 1885 Byrd 0.000086 boy
5614 1885 Carter 0.000086 boy
5615 1885 Ewing 0.000086 boy
5616 1885 Ezekiel 0.000086 boy
5617 1885 Godfrey 0.000086 boy
5618 1885 Harlan 0.000086 boy
5619 1885 Haywood 0.000086 boy
5620 1885 Herschel 0.000086 boy
5621 1885 Hunter 0.000086 boy
5622 1885 Isadore 0.000086 boy
5623 1885 Lafe 0.000086 boy
5624 1885 Larkin 0.000086 boy
5625 1885 Melville 0.000086 boy
5626 1885 Merrill 0.000086 boy
5627 1885 Miguel 0.000086 boy
5628 1885 Octave 0.000086 boy
5629 1885 Olen 0.000086 boy
5630 1885 Orrin 0.000086 boy
5631 1885 Quincy 0.000086 boy
5632 1885 Seymour 0.000086 boy
5633 1885 Shelby 0.000086 boy
5634 1885 Simeon 0.000086 boy
5635 1885 Ted 0.000086 boy
5636 1885 Thad 0.000086 boy
5637 1885 Tobe 0.000086 boy
5638 1885 West 0.000086 boy
5639 1885 Worley 0.000086 boy
5640 1885 Young 0.000086 boy
5641 1885 Alec 0.000078 boy
5642 1885 Alice 0.000078 boy
5643 1885 Angelo 0.000078 boy
5644 1885 Annie 0.000078 boy
5645 1885 Anson 0.000078 boy
5646 1885 Arley 0.000078 boy
5647 1885 Arlie 0.000078 boy
5648 1885 Art 0.000078 boy
5649 1885 Benny 0.000078 boy
5650 1885 Bradley 0.000078 boy
5651 1885 Budd 0.000078 boy
5652 1885 Cap 0.000078 boy
5653 1885 Carleton 0.000078 boy
5654 1885 Carson 0.000078 boy
5655 1885 Clement 0.000078 boy
5656 1885 Dana 0.000078 boy
5657 1885 Dayton 0.000078 boy
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5659 1885 Eldon 0.000078 boy
5660 1885 Elige 0.000078 boy
5661 1885 Elizabeth 0.000078 boy
5662 1885 Fernando 0.000078 boy
5663 1885 Finis 0.000078 boy
5664 1885 Ford 0.000078 boy
5665 1885 Garrett 0.000078 boy
5666 1885 Hampton 0.000078 boy
5667 1885 Harper 0.000078 boy
5668 1885 Harvy 0.000078 boy
5669 1885 Hector 0.000078 boy
5670 1885 Hezekiah 0.000078 boy
5671 1885 Hollis 0.000078 boy
5672 1885 Jodie 0.000078 boy
5673 1885 Jule 0.000078 boy
5674 1885 Justin 0.000078 boy
5675 1885 Kirk 0.000078 boy
5676 1885 Leopold 0.000078 boy
5677 1885 Lowell 0.000078 boy
5678 1885 Manley 0.000078 boy
5679 1885 Milford 0.000078 boy
5680 1885 Minor 0.000078 boy
5681 1885 Nicolas 0.000078 boy
5682 1885 Okey 0.000078 boy
5683 1885 Pierre 0.000078 boy
5684 1885 Pleas 0.000078 boy
5685 1885 Reece 0.000078 boy
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5687 1885 Rome 0.000078 boy
5688 1885 Rose 0.000078 boy
5689 1885 Rubin 0.000078 boy
5690 1885 Terence 0.000078 boy
5691 1885 Terry 0.000078 boy
5692 1885 Tillman 0.000078 boy
5693 1885 Tolbert 0.000078 boy
5694 1885 Toney 0.000078 boy
5695 1885 Wendell 0.000078 boy
5696 1885 Willam 0.000078 boy
5697 1885 Winfred 0.000078 boy
5698 1885 Wright 0.000078 boy
5699 1885 Wyatt 0.000078 boy
5700 1885 Alonza 0.000069 boy
5701 1885 Alvie 0.000069 boy
5702 1885 Andres 0.000069 boy
5703 1885 Barry 0.000069 boy
5704 1885 Barton 0.000069 boy
5705 1885 Baxter 0.000069 boy
5706 1885 Billy 0.000069 boy
5707 1885 Brice 0.000069 boy
5708 1885 Burley 0.000069 boy
5709 1885 Burr 0.000069 boy
5710 1885 Campbell 0.000069 boy
5711 1885 Claire 0.000069 boy
5712 1885 Clare 0.000069 boy
5713 1885 Cleo 0.000069 boy
5714 1885 Cooper 0.000069 boy
5715 1885 Coy 0.000069 boy
5716 1885 Crawford 0.000069 boy
5717 1885 Dalton 0.000069 boy
5718 1885 Danial 0.000069 boy
5719 1885 Dorsey 0.000069 boy
5720 1885 Earley 0.000069 boy
5721 1885 Egbert 0.000069 boy
5722 1885 Eldridge 0.000069 boy
5723 1885 Elzy 0.000069 boy
5724 1885 Fate 0.000069 boy
5725 1885 Ferd 0.000069 boy
5726 1885 Fielding 0.000069 boy
5727 1885 Finley 0.000069 boy
5728 1885 Gaston 0.000069 boy
5729 1885 Gertrude 0.000069 boy
5730 1885 Guadalupe 0.000069 boy
5731 1885 Hamilton 0.000069 boy
5732 1885 Harve 0.000069 boy
5733 1885 Hermon 0.000069 boy
5734 1885 Howell 0.000069 boy
5735 1885 Ivory 0.000069 boy
5736 1885 June 0.000069 boy
5737 1885 Lemon 0.000069 boy
5738 1885 Levy 0.000069 boy
5739 1885 Llewellyn 0.000069 boy
5740 1885 Ludwig 0.000069 boy
5741 1885 Matthias 0.000069 boy
5742 1885 Maxwell 0.000069 boy
5743 1885 Miller 0.000069 boy
5744 1885 Morton 0.000069 boy
5745 1885 Noel 0.000069 boy
5746 1885 Nora 0.000069 boy
5747 1885 Norton 0.000069 boy
5748 1885 Orange 0.000069 boy
5749 1885 Palmer 0.000069 boy
5750 1885 Park 0.000069 boy
5751 1885 Reese 0.000069 boy
5752 1885 Roderick 0.000069 boy
5753 1885 Rolland 0.000069 boy
5754 1885 Sampson 0.000069 boy
5755 1885 Sanders 0.000069 boy
5756 1885 Shelton 0.000069 boy
5757 1885 Spurgeon 0.000069 boy
5758 1885 Sumner 0.000069 boy
5759 1885 Theo 0.000069 boy
5760 1885 Thurman 0.000069 boy
5761 1885 Verner 0.000069 boy
5762 1885 Wayman 0.000069 boy
5763 1885 Webb 0.000069 boy
5764 1885 Wilton 0.000069 boy
5765 1885 Adolf 0.000060 boy
5766 1885 Alois 0.000060 boy
5767 1885 Bailey 0.000060 boy
5768 1885 Bascom 0.000060 boy
5769 1885 Benjamine 0.000060 boy
5770 1885 Bessie 0.000060 boy
5771 1885 Bonnie 0.000060 boy
5772 1885 Brady 0.000060 boy
5773 1885 Bruno 0.000060 boy
5774 1885 Burney 0.000060 boy
5775 1885 Burrell 0.000060 boy
5776 1885 Cassius 0.000060 boy
5777 1885 Clemens 0.000060 boy
5778 1885 Cloyd 0.000060 boy
5779 1885 Connie 0.000060 boy
5780 1885 Cornelious 0.000060 boy
5781 1885 Davie 0.000060 boy
5782 1885 Dillard 0.000060 boy
5783 1885 Earlie 0.000060 boy
5784 1885 Elie 0.000060 boy
5785 1885 Ellen 0.000060 boy
5786 1885 Enrique 0.000060 boy
5787 1885 Ephriam 0.000060 boy
5788 1885 Epifanio 0.000060 boy
5789 1885 Erick 0.000060 boy
5790 1885 Essie 0.000060 boy
5791 1885 Eustace 0.000060 boy
5792 1885 Fayette 0.000060 boy
5793 1885 Garner 0.000060 boy
5794 1885 Gary 0.000060 boy
5795 1885 Gee 0.000060 boy
5796 1885 Geo 0.000060 boy
5797 1885 Glover 0.000060 boy
5798 1885 Hallie 0.000060 boy
5799 1885 Hamp 0.000060 boy
5800 1885 Hosteen 0.000060 boy
5801 1885 Hyrum 0.000060 boy
5802 1885 Isidor 0.000060 boy
5803 1885 Julia 0.000060 boy
5804 1885 Junior 0.000060 boy
5805 1885 Junious 0.000060 boy
5806 1885 Lark 0.000060 boy
5807 1885 Laurance 0.000060 boy
5808 1885 Leigh 0.000060 boy
5809 1885 Lindsey 0.000060 boy
5810 1885 Love 0.000060 boy
5811 1885 Lum 0.000060 boy
5812 1885 Mabel 0.000060 boy
5813 1885 Malachi 0.000060 boy
5814 1885 Marshal 0.000060 boy
5815 1885 Newell 0.000060 boy
5816 1885 Newt 0.000060 boy
5817 1885 Obie 0.000060 boy
5818 1885 Odie 0.000060 boy
5819 1885 Orley 0.000060 boy
5820 1885 Ossie 0.000060 boy
5821 1885 Percival 0.000060 boy
5822 1885 Purl 0.000060 boy
5823 1885 Roman 0.000060 boy
5824 1885 Sarah 0.000060 boy
5825 1885 Shade 0.000060 boy
5826 1885 Soloman 0.000060 boy
5827 1885 Squire 0.000060 boy
5828 1885 Starling 0.000060 boy
5829 1885 Tommy 0.000060 boy
5830 1885 Unknown 0.000060 boy
5831 1885 Vernie 0.000060 boy
5832 1885 Watt 0.000060 boy
5833 1885 Wilhelm 0.000060 boy
5834 1885 Wong 0.000060 boy
5835 1885 Woodie 0.000060 boy
5836 1885 Ab 0.000052 boy
5837 1885 Abel 0.000052 boy
5838 1885 Algie 0.000052 boy
5839 1885 Almond 0.000052 boy
5840 1885 Alpheus 0.000052 boy
5841 1885 Antoine 0.000052 boy
5842 1885 Asbury 0.000052 boy
5843 1885 Asher 0.000052 boy
5844 1885 Authur 0.000052 boy
5845 1885 Berton 0.000052 boy
5846 1885 Braxton 0.000052 boy
5847 1885 Burnett 0.000052 boy
5848 1885 Chancy 0.000052 boy
5849 1885 Chesley 0.000052 boy
5850 1885 Clara 0.000052 boy
5851 1885 Cleave 0.000052 boy
5852 1885 Clell 0.000052 boy
5853 1885 Colin 0.000052 boy
5854 1885 Colon 0.000052 boy
5855 1885 Constantine 0.000052 boy
5856 1885 Curt 0.000052 boy
5857 1885 Delmar 0.000052 boy
5858 1885 Dempsey 0.000052 boy
5859 1885 Dennie 0.000052 boy
5860 1885 Dominic 0.000052 boy
5861 1885 Dominick 0.000052 boy
5862 1885 Eben 0.000052 boy
5863 1885 Eber 0.000052 boy
5864 1885 Eliga 0.000052 boy
5865 1885 Ella 0.000052 boy
5866 1885 Ellie 0.000052 boy
5867 1885 Emiliano 0.000052 boy
5868 1885 Ernie 0.000052 boy
5869 1885 Fleet 0.000052 boy
5870 1885 Fleming 0.000052 boy
5871 1885 Franklyn 0.000052 boy
5872 1885 Garnett 0.000052 boy
5873 1885 Hayden 0.000052 boy
5874 1885 Helen 0.000052 boy
5875 1885 Hervey 0.000052 boy
5876 1885 Hobart 0.000052 boy
5877 1885 Holly 0.000052 boy
5878 1885 Hoyt 0.000052 boy
5879 1885 Ida 0.000052 boy
5880 1885 Ivey 0.000052 boy
5881 1885 Josephine 0.000052 boy
5882 1885 Josephus 0.000052 boy
5883 1885 Justus 0.000052 boy
5884 1885 Lambert 0.000052 boy
5885 1885 Laverne 0.000052 boy
5886 1885 Lillard 0.000052 boy
5887 1885 Lillie 0.000052 boy
5888 1885 Lim 0.000052 boy
5889 1885 Lindsay 0.000052 boy
5890 1885 Linton 0.000052 boy
5891 1885 Lonie 0.000052 boy
5892 1885 Lucas 0.000052 boy
5893 1885 Mahlon 0.000052 boy
5894 1885 Mannie 0.000052 boy
5895 1885 Mart 0.000052 boy
5896 1885 Math 0.000052 boy
5897 1885 Maude 0.000052 boy
5898 1885 Merlin 0.000052 boy
5899 1885 Milan 0.000052 boy
5900 1885 Mills 0.000052 boy
5901 1885 Minnie 0.000052 boy
5902 1885 Nellie 0.000052 boy
5903 1885 Newman 0.000052 boy
5904 1885 Nim 0.000052 boy
5905 1885 Norbert 0.000052 boy
5906 1885 North 0.000052 boy
5907 1885 Orla 0.000052 boy
5908 1885 Orland 0.000052 boy
5909 1885 Orlo 0.000052 boy
5910 1885 Orson 0.000052 boy
5911 1885 Orvis 0.000052 boy
5912 1885 Osborne 0.000052 boy
5913 1885 Ottis 0.000052 boy
5914 1885 Paris 0.000052 boy
5915 1885 Parker 0.000052 boy
5916 1885 Ples 0.000052 boy
5917 1885 Rafael 0.000052 boy
5918 1885 Reason 0.000052 boy
5919 1885 Reed 0.000052 boy
5920 1885 Rob 0.000052 boy
5921 1885 Roe 0.000052 boy
5922 1885 Rogers 0.000052 boy
5923 1885 Rube 0.000052 boy
5924 1885 Shannon 0.000052 boy
5925 1885 Stacy 0.000052 boy
5926 1885 Stonewall 0.000052 boy
5927 1885 Sylvanus 0.000052 boy
5928 1885 Theophile 0.000052 boy
5929 1885 Thos 0.000052 boy
5930 1885 Virge 0.000052 boy
5931 1885 Vivian 0.000052 boy
5932 1885 Watson 0.000052 boy
5933 1885 Wheeler 0.000052 boy
5934 1885 Zenas 0.000052 boy
5935 1885 Zollie 0.000052 boy
5936 1885 Ada 0.000043 boy
5937 1885 Albion 0.000043 boy
5938 1885 Alcide 0.000043 boy
5939 1885 Alden 0.000043 boy
5940 1885 Alejandro 0.000043 boy
5941 1885 Alf 0.000043 boy
5942 1885 Ammon 0.000043 boy
5943 1885 Ancel 0.000043 boy
5944 1885 Archer 0.000043 boy
5945 1885 Armand 0.000043 boy
5946 1885 Atha 0.000043 boy
5947 1885 Audie 0.000043 boy
5948 1885 Ballard 0.000043 boy
5949 1885 Bee 0.000043 boy
5950 1885 Bernie 0.000043 boy
5951 1885 Bertrand 0.000043 boy
5952 1885 Blair 0.000043 boy
5953 1885 Boyce 0.000043 boy
5954 1885 Bradford 0.000043 boy
5955 1885 Brent 0.000043 boy
5956 1885 Burdette 0.000043 boy
5957 1885 Cal 0.000043 boy
5958 1885 Cameron 0.000043 boy
5959 1885 Carrie 0.000043 boy
5960 1885 Cash 0.000043 boy
5961 1885 Chancey 0.000043 boy
5962 1885 Chase 0.000043 boy
5963 1885 Clarance 0.000043 boy
5964 1885 Claus 0.000043 boy
5965 1885 Cleon 0.000043 boy
5966 1885 Clive 0.000043 boy
5967 1885 Collins 0.000043 boy
5968 1885 Conley 0.000043 boy
5969 1885 Cora 0.000043 boy
5970 1885 Courtney 0.000043 boy
5971 1885 Cris 0.000043 boy
5972 1885 Dawson 0.000043 boy
5973 1885 Delmer 0.000043 boy
5974 1885 Dexter 0.000043 boy
5975 1885 Doctor 0.000043 boy
5976 1885 Domingo 0.000043 boy
5977 1885 Drury 0.000043 boy
5978 1885 Duane 0.000043 boy
5979 1885 Ebb 0.000043 boy
5980 1885 Edith 0.000043 boy
5981 1885 Elon 0.000043 boy
5982 1885 Elsie 0.000043 boy
5983 1885 Erle 0.000043 boy
5984 1885 Estevan 0.000043 boy
5985 1885 Evans 0.000043 boy
5986 1885 Ewell 0.000043 boy
5987 1885 Festus 0.000043 boy
5988 1885 Fitzhugh 0.000043 boy
5989 1885 Fount 0.000043 boy
5990 1885 Fredric 0.000043 boy
5991 1885 French 0.000043 boy
5992 1885 Gabe 0.000043 boy
5993 1885 Gaines 0.000043 boy
5994 1885 Garry 0.000043 boy
5995 1885 Gaylord 0.000043 boy
5996 1885 Grace 0.000043 boy
5997 1885 Graham 0.000043 boy
5998 1885 Gray 0.000043 boy
5999 1885 Gregory 0.000043 boy
6000 1885 Griffin 0.000043 boy
6001 1886 John 0.075820 boy
6002 1886 William 0.069318 boy
6003 1886 James 0.044983 boy
6004 1886 George 0.039229 boy
6005 1886 Charles 0.038078 boy
6006 1886 Frank 0.026267 boy
6007 1886 Joseph 0.021790 boy
6008 1886 Robert 0.020538 boy
6009 1886 Henry 0.020194 boy
6010 1886 Thomas 0.019631 boy
6011 1886 Edward 0.019421 boy
6012 1886 Harry 0.018959 boy
6013 1886 Walter 0.015792 boy
6014 1886 Arthur 0.013911 boy
6015 1886 Fred 0.013432 boy
6016 1886 Albert 0.012499 boy
6017 1886 Clarence 0.008358 boy
6018 1886 Samuel 0.007308 boy
6019 1886 Louis 0.007107 boy
6020 1886 Roy 0.006443 boy
6021 1886 Joe 0.006376 boy
6022 1886 Charlie 0.006073 boy
6023 1886 Richard 0.006048 boy
6024 1886 David 0.005662 boy
6025 1886 Ernest 0.005611 boy
6026 1886 Oscar 0.005418 boy
6027 1886 Will 0.005393 boy
6028 1886 Willie 0.005385 boy
6029 1886 Andrew 0.005158 boy
6030 1886 Jesse 0.005158 boy
6031 1886 Earl 0.004788 boy
6032 1886 Carl 0.004671 boy
6033 1886 Daniel 0.004662 boy
6034 1886 Sam 0.004360 boy
6035 1886 Elmer 0.004074 boy
6036 1886 Alfred 0.004032 boy
6037 1886 Howard 0.003923 boy
6038 1886 Paul 0.003914 boy
6039 1886 Benjamin 0.003889 boy
6040 1886 Frederick 0.003872 boy
6041 1886 Ralph 0.003696 boy
6042 1886 Peter 0.003671 boy
6043 1886 Lewis 0.003620 boy
6044 1886 Herman 0.003503 boy
6045 1886 Grover 0.003419 boy
6046 1886 Herbert 0.003360 boy
6047 1886 Lee 0.003352 boy
6048 1886 Claude 0.003284 boy
6049 1886 Jim 0.003268 boy
6050 1886 Tom 0.003217 boy
6051 1886 Eugene 0.003041 boy
6052 1886 Raymond 0.002965 boy
6053 1886 Michael 0.002923 boy
6054 1886 Jacob 0.002906 boy
6055 1886 Francis 0.002890 boy
6056 1886 Ben 0.002814 boy
6057 1886 Lawrence 0.002780 boy
6058 1886 Martin 0.002764 boy
6059 1886 Edwin 0.002629 boy
6060 1886 Harvey 0.002604 boy
6061 1886 Edgar 0.002596 boy
6062 1886 Clyde 0.002579 boy
6063 1886 Ed 0.002545 boy
6064 1886 Jack 0.002512 boy
6065 1886 Chester 0.002411 boy
6066 1886 Floyd 0.002310 boy
6067 1886 Ray 0.002276 boy
6068 1886 Otto 0.002268 boy
6069 1886 Theodore 0.002167 boy
6070 1886 Guy 0.002142 boy
6071 1886 Luther 0.002125 boy
6072 1886 Patrick 0.002092 boy
6073 1886 Leo 0.002016 boy
6074 1886 Leonard 0.001982 boy
6075 1886 Oliver 0.001932 boy
6076 1886 Bert 0.001915 boy
6077 1886 Hugh 0.001907 boy
6078 1886 Harold 0.001882 boy
6079 1886 Isaac 0.001882 boy
6080 1886 Homer 0.001873 boy
6081 1886 Charley 0.001798 boy
6082 1886 Allen 0.001772 boy
6083 1886 Alexander 0.001730 boy
6084 1886 August 0.001705 boy
6085 1886 Ira 0.001663 boy
6086 1886 Eddie 0.001655 boy
6087 1886 Philip 0.001562 boy
6088 1886 Marion 0.001529 boy
6089 1886 Jessie 0.001520 boy
6090 1886 Stephen 0.001520 boy
6091 1886 Bernard 0.001512 boy
6092 1886 Archie 0.001470 boy
6093 1886 Anthony 0.001462 boy
6094 1886 Julius 0.001453 boy
6095 1886 Clifford 0.001445 boy
6096 1886 Alex 0.001352 boy
6097 1886 Norman 0.001352 boy
6098 1886 Lester 0.001344 boy
6099 1886 Horace 0.001310 boy
6100 1886 Leroy 0.001302 boy
6101 1886 Sidney 0.001302 boy
6102 1886 Dan 0.001294 boy
6103 1886 Everett 0.001260 boy
6104 1886 Willis 0.001260 boy
6105 1886 Victor 0.001226 boy
6106 1886 Milton 0.001218 boy
6107 1886 Lloyd 0.001210 boy
6108 1886 Warren 0.001210 boy
6109 1886 Leon 0.001193 boy
6110 1886 Perry 0.001184 boy
6111 1886 Jess 0.001176 boy
6112 1886 Dave 0.001168 boy
6113 1886 Rufus 0.001168 boy
6114 1886 Leslie 0.001142 boy
6115 1886 Nathan 0.001142 boy
6116 1886 Emil 0.001067 boy
6117 1886 Franklin 0.001067 boy
6118 1886 Jerry 0.001050 boy
6119 1886 Percy 0.001025 boy
6120 1886 Amos 0.001016 boy
6121 1886 Wesley 0.001016 boy
6122 1886 Russell 0.000966 boy
6123 1886 Alvin 0.000941 boy
6124 1886 Matthew 0.000941 boy
6125 1886 Calvin 0.000916 boy
6126 1886 Jay 0.000899 boy
6127 1886 Ross 0.000899 boy
6128 1886 Alonzo 0.000890 boy
6129 1886 Mark 0.000890 boy
6130 1886 Wilbur 0.000890 boy
6131 1886 Earnest 0.000882 boy
6132 1886 Marshall 0.000882 boy
6133 1886 Wallace 0.000874 boy
6134 1886 Adam 0.000865 boy
6135 1886 Gus 0.000857 boy
6136 1886 Glenn 0.000832 boy
6137 1886 Otis 0.000832 boy
6138 1886 Dennis 0.000823 boy
6139 1886 Levi 0.000815 boy
6140 1886 Mack 0.000815 boy
6141 1886 Maurice 0.000815 boy
6142 1886 Simon 0.000815 boy
6143 1886 Claud 0.000806 boy
6144 1886 Morris 0.000806 boy
6145 1886 Adolph 0.000798 boy
6146 1886 Cornelius 0.000798 boy
6147 1886 Jake 0.000798 boy
6148 1886 Stanley 0.000798 boy
6149 1886 Elbert 0.000790 boy
6150 1886 Emmett 0.000790 boy
6151 1886 Phillip 0.000790 boy
6152 1886 Elijah 0.000781 boy
6153 1886 Felix 0.000773 boy
6154 1886 Gilbert 0.000764 boy
6155 1886 Marvin 0.000756 boy
6156 1886 Noah 0.000756 boy
6157 1886 Jasper 0.000739 boy
6158 1886 Lonnie 0.000739 boy
6159 1886 Roscoe 0.000739 boy
6160 1886 Cleveland 0.000731 boy
6161 1886 Aaron 0.000722 boy
6162 1886 Clinton 0.000714 boy
6163 1886 Ellis 0.000714 boy
6164 1886 Jose 0.000714 boy
6165 1886 Nicholas 0.000714 boy
6166 1886 Mike 0.000706 boy
6167 1886 Moses 0.000706 boy
6168 1886 Cecil 0.000697 boy
6169 1886 Melvin 0.000697 boy
6170 1886 Owen 0.000697 boy
6171 1886 Reuben 0.000689 boy
6172 1886 Ollie 0.000680 boy
6173 1886 Edmund 0.000672 boy
6174 1886 Willard 0.000672 boy
6175 1886 Virgil 0.000664 boy
6176 1886 Nelson 0.000655 boy
6177 1886 Abraham 0.000647 boy
6178 1886 Harrison 0.000647 boy
6179 1886 Silas 0.000647 boy
6180 1886 Fredrick 0.000630 boy
6181 1886 Timothy 0.000622 boy
6182 1886 Clayton 0.000613 boy
6183 1886 Harley 0.000613 boy
6184 1886 Max 0.000613 boy
6185 1886 Monroe 0.000613 boy
6186 1886 Pearl 0.000613 boy
6187 1886 Sylvester 0.000613 boy
6188 1886 Vernon 0.000613 boy
6189 1886 Curtis 0.000605 boy
6190 1886 Irvin 0.000596 boy
6191 1886 Wilson 0.000596 boy
6192 1886 Manuel 0.000588 boy
6193 1886 Steve 0.000588 boy
6194 1886 Dock 0.000580 boy
6195 1886 Grant 0.000580 boy
6196 1886 Juan 0.000580 boy
6197 1886 Mose 0.000580 boy
6198 1886 Rudolph 0.000580 boy
6199 1886 Johnnie 0.000563 boy
6200 1886 Bob 0.000554 boy
6201 1886 Christopher 0.000554 boy
6202 1886 Eli 0.000554 boy
6203 1886 Newton 0.000554 boy
6204 1886 Sherman 0.000554 boy
6205 1886 Barney 0.000546 boy
6206 1886 Alva 0.000538 boy
6207 1886 Austin 0.000538 boy
6208 1886 Bill 0.000538 boy
6209 1886 Gordon 0.000538 boy
6210 1886 Jeff 0.000529 boy
6211 1886 Ora 0.000529 boy
6212 1886 Orville 0.000529 boy
6213 1886 Anton 0.000521 boy
6214 1886 Chris 0.000521 boy
6215 1886 Don 0.000521 boy
6216 1886 Edd 0.000521 boy
6217 1886 Hubert 0.000512 boy
6218 1886 Wade 0.000512 boy
6219 1886 Irving 0.000504 boy
6220 1886 Cyrus 0.000496 boy
6221 1886 Nathaniel 0.000496 boy
6222 1886 Augustus 0.000487 boy
6223 1886 Lon 0.000487 boy
6224 1886 Donald 0.000479 boy
6225 1886 Millard 0.000479 boy
6226 1886 Columbus 0.000470 boy
6227 1886 Forrest 0.000470 boy
6228 1886 Bruce 0.000462 boy
6229 1886 Joshua 0.000462 boy
6230 1886 Roland 0.000462 boy
6231 1886 Pete 0.000454 boy
6232 1886 Hiram 0.000445 boy
6233 1886 Asa 0.000437 boy
6234 1886 Byron 0.000437 boy
6235 1886 Abe 0.000420 boy
6236 1886 Conrad 0.000420 boy
6237 1886 Edmond 0.000420 boy
6238 1886 Enoch 0.000420 boy
6239 1886 Jerome 0.000420 boy
6240 1886 Julian 0.000420 boy
6241 1886 Luke 0.000420 boy
6242 1886 Vincent 0.000420 boy
6243 1886 Andy 0.000412 boy
6244 1886 Clark 0.000412 boy
6245 1886 Glen 0.000412 boy
6246 1886 Joel 0.000412 boy
6247 1886 Wiley 0.000412 boy
6248 1886 Ike 0.000403 boy
6249 1886 Karl 0.000403 boy
6250 1886 Mathew 0.000403 boy
6251 1886 Nick 0.000395 boy
6252 1886 Earle 0.000386 boy
6253 1886 Emanuel 0.000386 boy
6254 1886 Green 0.000378 boy
6255 1886 Solomon 0.000378 boy
6256 1886 Emery 0.000370 boy
6257 1886 Forest 0.000370 boy
6258 1886 Jackson 0.000370 boy
6259 1886 Bennie 0.000361 boy
6260 1886 Boyd 0.000361 boy
6261 1886 Laurence 0.000361 boy
6262 1886 Clifton 0.000353 boy
6263 1886 Scott 0.000353 boy
6264 1886 Arnold 0.000344 boy
6265 1886 Elias 0.000344 boy
6266 1886 Van 0.000344 boy
6267 1886 Chas 0.000336 boy
6268 1886 Ferdinand 0.000336 boy
6269 1886 Jeremiah 0.000336 boy
6270 1886 Neal 0.000336 boy
6271 1886 Ruben 0.000336 boy
6272 1886 Ezra 0.000328 boy
6273 1886 Kenneth 0.000328 boy
6274 1886 Marcus 0.000328 boy
6275 1886 Riley 0.000328 boy
6276 1886 Fletcher 0.000319 boy
6277 1886 Garfield 0.000319 boy
6278 1886 Gustave 0.000319 boy
6279 1886 Ulysses 0.000319 boy
6280 1886 Emory 0.000311 boy
6281 1886 Jimmie 0.000311 boy
6282 1886 Lemuel 0.000311 boy
6283 1886 Cleve 0.000302 boy
6284 1886 Louie 0.000302 boy
6285 1886 Miles 0.000302 boy
6286 1886 Omer 0.000302 boy
6287 1886 Preston 0.000302 boy
6288 1886 Burton 0.000294 boy
6289 1886 Dewitt 0.000294 boy
6290 1886 Douglas 0.000294 boy
6291 1886 Elisha 0.000294 boy
6292 1886 Isaiah 0.000294 boy
6293 1886 Ned 0.000294 boy
6294 1886 Anderson 0.000286 boy
6295 1886 Ivan 0.000286 boy
6296 1886 Jefferson 0.000286 boy
6297 1886 Lyman 0.000286 boy
6298 1886 Bud 0.000277 boy
6299 1886 Christian 0.000277 boy
6300 1886 Tommie 0.000277 boy
6301 1886 Antonio 0.000269 boy
6302 1886 Arch 0.000269 boy
6303 1886 Ervin 0.000269 boy
6304 1886 Gustav 0.000269 boy
6305 1886 Mary 0.000269 boy
6306 1886 Morgan 0.000269 boy
6307 1886 Napoleon 0.000269 boy
6308 1886 Roger 0.000269 boy
6309 1886 Elwood 0.000260 boy
6310 1886 Major 0.000260 boy
6311 1886 Ambrose 0.000252 boy
6312 1886 Archibald 0.000252 boy
6313 1886 Delbert 0.000252 boy
6314 1886 Johnie 0.000252 boy
6315 1886 Logan 0.000252 boy
6316 1886 Lucius 0.000252 boy
6317 1886 Josh 0.000244 boy
6318 1886 Spencer 0.000244 boy
6319 1886 Tony 0.000244 boy
6320 1886 Walker 0.000244 boy
6321 1886 Clay 0.000235 boy
6322 1886 Gerald 0.000235 boy
6323 1886 Myron 0.000235 boy
6324 1886 Ole 0.000235 boy
6325 1886 Al 0.000227 boy
6326 1886 Lafayette 0.000227 boy
6327 1886 Leland 0.000227 boy
6328 1886 Matt 0.000227 boy
6329 1886 Sandy 0.000227 boy
6330 1886 Stewart 0.000227 boy
6331 1886 Wilfred 0.000227 boy
6332 1886 Clement 0.000218 boy
6333 1886 Dee 0.000218 boy
6334 1886 Hardy 0.000218 boy
6335 1886 Rex 0.000218 boy
6336 1886 Allan 0.000210 boy
6337 1886 Axel 0.000210 boy
6338 1886 Carroll 0.000210 boy
6339 1886 Clem 0.000210 boy
6340 1886 Dallas 0.000210 boy
6341 1886 Emile 0.000210 boy
6342 1886 Fay 0.000210 boy
6343 1886 Lorenzo 0.000210 boy
6344 1886 Lynn 0.000210 boy
6345 1886 Malcolm 0.000210 boy
6346 1886 Ward 0.000210 boy
6347 1886 Winfield 0.000210 boy
6348 1886 Dudley 0.000202 boy
6349 1886 Emmet 0.000202 boy
6350 1886 Gust 0.000202 boy
6351 1886 Houston 0.000202 boy
6352 1886 Milo 0.000202 boy
6353 1886 Mitchell 0.000202 boy
6354 1886 Neil 0.000202 boy
6355 1886 Pedro 0.000202 boy
6356 1886 Porter 0.000202 boy
6357 1886 Benjiman 0.000193 boy
6358 1886 Cliff 0.000193 boy
6359 1886 Dick 0.000193 boy
6360 1886 General 0.000193 boy
6361 1886 Johnny 0.000193 boy
6362 1886 King 0.000193 boy
6363 1886 Larry 0.000193 boy
6364 1886 Oren 0.000193 boy
6365 1886 Pat 0.000193 boy
6366 1886 Raleigh 0.000193 boy
6367 1886 Seth 0.000193 boy
6368 1886 Wayne 0.000193 boy
6369 1886 Carlton 0.000185 boy
6370 1886 Casper 0.000185 boy
6371 1886 Elliott 0.000185 boy
6372 1886 Erwin 0.000185 boy
6373 1886 Foster 0.000185 boy
6374 1886 Isiah 0.000185 boy
6375 1886 Loren 0.000185 boy
6376 1886 Merle 0.000185 boy
6377 1886 Pink 0.000185 boy
6378 1886 Prince 0.000185 boy
6379 1886 Randolph 0.000185 boy
6380 1886 Sim 0.000185 boy
6381 1886 Taylor 0.000185 boy
6382 1886 Vern 0.000185 boy
6383 1886 Allie 0.000176 boy
6384 1886 Burl 0.000176 boy
6385 1886 Chauncey 0.000176 boy
6386 1886 Freeman 0.000176 boy
6387 1886 Isom 0.000176 boy
6388 1886 Jason 0.000176 boy
6389 1886 Josiah 0.000176 boy
6390 1886 Judson 0.000176 boy
6391 1886 Lem 0.000176 boy
6392 1886 Loyd 0.000176 boy
6393 1886 Otho 0.000176 boy
6394 1886 Pierce 0.000176 boy
6395 1886 Washington 0.000176 boy
6396 1886 West 0.000176 boy
6397 1886 Clair 0.000168 boy
6398 1886 Hans 0.000168 boy
6399 1886 Jonas 0.000168 boy
6400 1886 Judge 0.000168 boy
6401 1886 Steven 0.000168 boy
6402 1886 Tomas 0.000168 boy
6403 1886 Adolphus 0.000160 boy
6404 1886 Burt 0.000160 boy
6405 1886 Elza 0.000160 boy
6406 1886 Garland 0.000160 boy
6407 1886 Granville 0.000160 boy
6408 1886 Harris 0.000160 boy
6409 1886 Herschel 0.000160 boy
6410 1886 Hugo 0.000160 boy
6411 1886 Jonathan 0.000160 boy
6412 1886 Lawson 0.000160 boy
6413 1886 Murray 0.000160 boy
6414 1886 Royal 0.000160 boy
6415 1886 Troy 0.000160 boy
6416 1886 Wilmer 0.000160 boy
6417 1886 Abner 0.000151 boy
6418 1886 Abram 0.000151 boy
6419 1886 Davis 0.000151 boy
6420 1886 Hal 0.000151 boy
6421 1886 Harmon 0.000151 boy
6422 1886 Irwin 0.000151 boy
6423 1886 Lucian 0.000151 boy
6424 1886 Mason 0.000151 boy
6425 1886 Minor 0.000151 boy
6426 1886 Phil 0.000151 boy
6427 1886 Rolla 0.000151 boy
6428 1886 Rollie 0.000151 boy
6429 1886 Verne 0.000151 boy
6430 1886 Warner 0.000151 boy
6431 1886 Adrian 0.000143 boy
6432 1886 Alford 0.000143 boy
6433 1886 Buster 0.000143 boy
6434 1886 Dale 0.000143 boy
6435 1886 Dwight 0.000143 boy
6436 1886 Early 0.000143 boy
6437 1886 Emerson 0.000143 boy
6438 1886 Ezekiel 0.000143 boy
6439 1886 Hamilton 0.000143 boy
6440 1886 Hosea 0.000143 boy
6441 1886 Israel 0.000143 boy
6442 1886 Leander 0.000143 boy
6443 1886 Lucious 0.000143 boy
6444 1886 Madison 0.000143 boy
6445 1886 Olaf 0.000143 boy
6446 1886 Shirley 0.000143 boy
6447 1886 Stuart 0.000143 boy
6448 1886 Thornton 0.000143 boy
6449 1886 Webster 0.000143 boy
6450 1886 Wilbert 0.000143 boy
6451 1886 Abel 0.000134 boy
6452 1886 Addison 0.000134 boy
6453 1886 Alphonse 0.000134 boy
6454 1886 Alton 0.000134 boy
6455 1886 Arther 0.000134 boy
6456 1886 Carlos 0.000134 boy
6457 1886 Christ 0.000134 boy
6458 1886 Emmitt 0.000134 boy
6459 1886 Garrett 0.000134 boy
6460 1886 Geo 0.000134 boy
6461 1886 Henderson 0.000134 boy
6462 1886 Kelly 0.000134 boy
6463 1886 Lindsey 0.000134 boy
6464 1886 Milford 0.000134 boy
6465 1886 Oswald 0.000134 boy
6466 1886 Sanford 0.000134 boy
6467 1886 Smith 0.000134 boy
6468 1886 Thad 0.000134 boy
6469 1886 Valentine 0.000134 boy
6470 1886 Alonza 0.000126 boy
6471 1886 Angus 0.000126 boy
6472 1886 Anna 0.000126 boy
6473 1886 Berry 0.000126 boy
6474 1886 Carter 0.000126 boy
6475 1886 Clara 0.000126 boy
6476 1886 Clint 0.000126 boy
6477 1886 Crawford 0.000126 boy
6478 1886 Dean 0.000126 boy
6479 1886 Elvin 0.000126 boy
6480 1886 Emmit 0.000126 boy
6481 1886 Enos 0.000126 boy
6482 1886 Florence 0.000126 boy
6483 1886 Francisco 0.000126 boy
6484 1886 Ivy 0.000126 boy
6485 1886 Nels 0.000126 boy
6486 1886 Orval 0.000126 boy
6487 1886 Reginald 0.000126 boy
6488 1886 Turner 0.000126 boy
6489 1886 Wm 0.000126 boy
6490 1886 Zack 0.000126 boy
6491 1886 Ashley 0.000118 boy
6492 1886 Caleb 0.000118 boy
6493 1886 Cornelious 0.000118 boy
6494 1886 Dell 0.000118 boy
6495 1886 Elie 0.000118 boy
6496 1886 Elzie 0.000118 boy
6497 1886 Ephraim 0.000118 boy
6498 1886 Evans 0.000118 boy
6499 1886 Freddie 0.000118 boy
6500 1886 Issac 0.000118 boy
6501 1886 Mortimer 0.000118 boy
6502 1886 Omar 0.000118 boy
6503 1886 Orrin 0.000118 boy
6504 1886 Rodney 0.000118 boy
6505 1886 Sid 0.000118 boy
6506 1886 Simeon 0.000118 boy
6507 1886 Sol 0.000118 boy
6508 1886 Tim 0.000118 boy
6509 1886 Tracy 0.000118 boy
6510 1886 Truman 0.000118 boy
6511 1886 Wilber 0.000118 boy
6512 1886 Angelo 0.000109 boy
6513 1886 Aron 0.000109 boy
6514 1886 Augustine 0.000109 boy
6515 1886 Baxter 0.000109 boy
6516 1886 Benny 0.000109 boy
6517 1886 Brady 0.000109 boy
6518 1886 Butler 0.000109 boy
6519 1886 Cary 0.000109 boy
6520 1886 Frederic 0.000109 boy
6521 1886 Fritz 0.000109 boy
6522 1886 Gabriel 0.000109 boy
6523 1886 Gene 0.000109 boy
6524 1886 Giles 0.000109 boy
6525 1886 Hampton 0.000109 boy
6526 1886 Haywood 0.000109 boy
6527 1886 Junius 0.000109 boy
6528 1886 Lige 0.000109 boy
6529 1886 Lonzo 0.000109 boy
6530 1886 Micheal 0.000109 boy
6531 1886 Miguel 0.000109 boy
6532 1886 Orlando 0.000109 boy
6533 1886 Ransom 0.000109 boy
6534 1886 Ronald 0.000109 boy
6535 1886 Thurman 0.000109 boy
6536 1886 Tommy 0.000109 boy
6537 1886 Willam 0.000109 boy
6538 1886 Williams 0.000109 boy
6539 1886 Wylie 0.000109 boy
6540 1886 Albin 0.000101 boy
6541 1886 Antone 0.000101 boy
6542 1886 Artie 0.000101 boy
6543 1886 Bartholomew 0.000101 boy
6544 1886 Benjamine 0.000101 boy
6545 1886 Bertha 0.000101 boy
6546 1886 Billie 0.000101 boy
6547 1886 Blaine 0.000101 boy
6548 1886 Buck 0.000101 boy
6549 1886 Doc 0.000101 boy
6550 1886 Dorsey 0.000101 boy
6551 1886 Drew 0.000101 boy
6552 1886 Duncan 0.000101 boy
6553 1886 Ellsworth 0.000101 boy
6554 1886 Elmo 0.000101 boy
6555 1886 Elton 0.000101 boy
6556 1886 Felipe 0.000101 boy
6557 1886 Frances 0.000101 boy
6558 1886 Grace 0.000101 boy
6559 1886 Harlan 0.000101 boy
6560 1886 Henery 0.000101 boy
6561 1886 Jesus 0.000101 boy
6562 1886 Lawyer 0.000101 boy
6563 1886 Luis 0.000101 boy
6564 1886 Lyle 0.000101 boy
6565 1886 Miller 0.000101 boy
6566 1886 Palmer 0.000101 boy
6567 1886 Perley 0.000101 boy
6568 1886 Pleasant 0.000101 boy
6569 1886 Price 0.000101 boy
6570 1886 Ramon 0.000101 boy
6571 1886 Terry 0.000101 boy
6572 1886 Tillman 0.000101 boy
6573 1886 Walton 0.000101 boy
6574 1886 Wendell 0.000101 boy
6575 1886 Wilford 0.000101 boy
6576 1886 Winfred 0.000101 boy
6577 1886 Wyatt 0.000101 boy
6578 1886 Coleman 0.000092 boy
6579 1886 Dennie 0.000092 boy
6580 1886 Elizabeth 0.000092 boy
6581 1886 Elmore 0.000092 boy
6582 1886 Emma 0.000092 boy
6583 1886 Evan 0.000092 boy
6584 1886 Hamp 0.000092 boy
6585 1886 Jean 0.000092 boy
6586 1886 Johnson 0.000092 boy
6587 1886 June 0.000092 boy
6588 1886 Lionel 0.000092 boy
6589 1886 Lowell 0.000092 boy
6590 1886 Ludwig 0.000092 boy
6591 1886 Mat 0.000092 boy
6592 1886 Mathias 0.000092 boy
6593 1886 Melville 0.000092 boy
6594 1886 Parker 0.000092 boy
6595 1886 Rollin 0.000092 boy
6596 1886 Rupert 0.000092 boy
6597 1886 Simpson 0.000092 boy
6598 1886 Toney 0.000092 boy
6599 1886 Travis 0.000092 boy
6600 1886 Urban 0.000092 boy
6601 1886 Wash 0.000092 boy
6602 1886 Wilburn 0.000092 boy
6603 1886 Willian 0.000092 boy
6604 1886 Woodie 0.000092 boy
6605 1886 Ace 0.000084 boy
6606 1886 Alice 0.000084 boy
6607 1886 Aloysius 0.000084 boy
6608 1886 Andres 0.000084 boy
6609 1886 Asbury 0.000084 boy
6610 1886 Aubrey 0.000084 boy
6611 1886 Auther 0.000084 boy
6612 1886 Barton 0.000084 boy
6613 1886 Basil 0.000084 boy
6614 1886 Elbridge 0.000084 boy
6615 1886 Eldridge 0.000084 boy
6616 1886 Erastus 0.000084 boy
6617 1886 Eric 0.000084 boy
6618 1886 Ferd 0.000084 boy
6619 1886 Gideon 0.000084 boy
6620 1886 Godfrey 0.000084 boy
6621 1886 Hermon 0.000084 boy
6622 1886 Isadore 0.000084 boy
6623 1886 Jones 0.000084 boy
6624 1886 Kirby 0.000084 boy
6625 1886 Lacy 0.000084 boy
6626 1886 Lonie 0.000084 boy
6627 1886 Mannie 0.000084 boy
6628 1886 Maynard 0.000084 boy
6629 1886 Merritt 0.000084 boy
6630 1886 Merton 0.000084 boy
6631 1886 Noble 0.000084 boy
6632 1886 Obie 0.000084 boy
6633 1886 Odie 0.000084 boy
6634 1886 Otha 0.000084 boy
6635 1886 Paris 0.000084 boy
6636 1886 Pierre 0.000084 boy
6637 1886 Reese 0.000084 boy
6638 1886 Saul 0.000084 boy
6639 1886 Seymour 0.000084 boy
6640 1886 Sterling 0.000084 boy
6641 1886 Sumner 0.000084 boy
6642 1886 Sydney 0.000084 boy
6643 1886 Ted 0.000084 boy
6644 1886 Terrence 0.000084 boy
6645 1886 Whit 0.000084 boy
6646 1886 Young 0.000084 boy
6647 1886 Alf 0.000076 boy
6648 1886 Alois 0.000076 boy
6649 1886 Alphonso 0.000076 boy
6650 1886 Alvis 0.000076 boy
6651 1886 Bartley 0.000076 boy
6652 1886 Benton 0.000076 boy
6653 1886 Beverly 0.000076 boy
6654 1886 Blake 0.000076 boy
6655 1886 Bryant 0.000076 boy
6656 1886 Clare 0.000076 boy
6657 1886 Eben 0.000076 boy
6658 1886 Edith 0.000076 boy
6659 1886 Ellie 0.000076 boy
6660 1886 Fernando 0.000076 boy
6661 1886 Fitzhugh 0.000076 boy
6662 1886 Gardner 0.000076 boy
6663 1886 Guss 0.000076 boy
6664 1886 Hallie 0.000076 boy
6665 1886 Heber 0.000076 boy
6666 1886 Hollis 0.000076 boy
6667 1886 Isham 0.000076 boy
6668 1886 Jordan 0.000076 boy
6669 1886 Lemon 0.000076 boy
6670 1886 Lenard 0.000076 boy
6671 1886 Levy 0.000076 boy
6672 1886 Linwood 0.000076 boy
6673 1886 Llewellyn 0.000076 boy
6674 1886 Lou 0.000076 boy
6675 1886 Love 0.000076 boy
6676 1886 Mahlon 0.000076 boy
6677 1886 Marcellus 0.000076 boy
6678 1886 Nat 0.000076 boy
6679 1886 Norris 0.000076 boy
6680 1886 Olin 0.000076 boy
6681 1886 Oral 0.000076 boy
6682 1886 Orin 0.000076 boy
6683 1886 Quincy 0.000076 boy
6684 1886 Roman 0.000076 boy
6685 1886 Roswell 0.000076 boy
6686 1886 Russel 0.000076 boy
6687 1886 Shedrick 0.000076 boy
6688 1886 Shelby 0.000076 boy
6689 1886 Tobe 0.000076 boy
6690 1886 Vance 0.000076 boy
6691 1886 Verner 0.000076 boy
6692 1886 Wheeler 0.000076 boy
6693 1886 Woodson 0.000076 boy
6694 1886 Addie 0.000067 boy
6695 1886 Alcide 0.000067 boy
6696 1886 Alden 0.000067 boy
6697 1886 Alfonso 0.000067 boy
6698 1886 Alpha 0.000067 boy
6699 1886 Alvah 0.000067 boy
6700 1886 Anson 0.000067 boy
6701 1886 Art 0.000067 boy
6702 1886 Bernie 0.000067 boy
6703 1886 Bertie 0.000067 boy
6704 1886 Berton 0.000067 boy
6705 1886 Bertram 0.000067 boy
6706 1886 Bishop 0.000067 boy
6707 1886 Burley 0.000067 boy
6708 1886 Caesar 0.000067 boy
6709 1886 Carson 0.000067 boy
6710 1886 Cicero 0.000067 boy
6711 1886 Cleo 0.000067 boy
6712 1886 Cloyd 0.000067 boy
6713 1886 Constantine 0.000067 boy
6714 1886 Dana 0.000067 boy
6715 1886 Dillard 0.000067 boy
6716 1886 Ebb 0.000067 boy
6717 1886 Egbert 0.000067 boy
6718 1886 Elige 0.000067 boy
6719 1886 Ernst 0.000067 boy
6720 1886 Fate 0.000067 boy
6721 1886 Golden 0.000067 boy
6722 1886 Hayes 0.000067 boy
6723 1886 Helmer 0.000067 boy
6724 1886 Hilliard 0.000067 boy
6725 1886 Howell 0.000067 boy
6726 1886 Ida 0.000067 boy
6727 1886 Jodie 0.000067 boy
6728 1886 Julious 0.000067 boy
6729 1886 Justin 0.000067 boy
6730 1886 Larkin 0.000067 boy
6731 1886 Leigh 0.000067 boy
6732 1886 Lucas 0.000067 boy
6733 1886 Lucien 0.000067 boy
6734 1886 Lum 0.000067 boy
6735 1886 Malachi 0.000067 boy
6736 1886 Margaret 0.000067 boy
6737 1886 May 0.000067 boy
6738 1886 Melton 0.000067 boy
6739 1886 Mervin 0.000067 boy
6740 1886 Minnie 0.000067 boy
6741 1886 Myrtle 0.000067 boy
6742 1886 Newell 0.000067 boy
6743 1886 Newt 0.000067 boy
6744 1886 Nora 0.000067 boy
6745 1886 Percival 0.000067 boy
6746 1886 Richmond 0.000067 boy
6747 1886 Rolland 0.000067 boy
6748 1886 Rube 0.000067 boy
6749 1886 Rubin 0.000067 boy
6750 1886 Sampson 0.000067 boy
6751 1886 Thaddeus 0.000067 boy
6752 1886 Theo 0.000067 boy
6753 1886 Tollie 0.000067 boy
6754 1886 Vernie 0.000067 boy
6755 1886 Waldo 0.000067 boy
6756 1886 Wellington 0.000067 boy
6757 1886 Winston 0.000067 boy
6758 1886 Zeb 0.000067 boy
6759 1886 Aleck 0.000059 boy
6760 1886 Alvia 0.000059 boy
6761 1886 Ansel 0.000059 boy
6762 1886 Antoine 0.000059 boy
6763 1886 Arlie 0.000059 boy
6764 1886 Arlington 0.000059 boy
6765 1886 Armand 0.000059 boy
6766 1886 Arvid 0.000059 boy
6767 1886 Asher 0.000059 boy
6768 1886 Author 0.000059 boy
6769 1886 Bailey 0.000059 boy
6770 1886 Bart 0.000059 boy
6771 1886 Benedict 0.000059 boy
6772 1886 Billy 0.000059 boy
6773 1886 Budd 0.000059 boy
6774 1886 Buford 0.000059 boy
6775 1886 Byrd 0.000059 boy
6776 1886 Cal 0.000059 boy
6777 1886 Callie 0.000059 boy
6778 1886 Carrie 0.000059 boy
6779 1886 Clarance 0.000059 boy
6780 1886 Clemens 0.000059 boy
6781 1886 Colin 0.000059 boy
6782 1886 Denis 0.000059 boy
6783 1886 Dixie 0.000059 boy
6784 1886 Doctor 0.000059 boy
6785 1886 Dolphus 0.000059 boy
6786 1886 Edna 0.000059 boy
6787 1886 Elder 0.000059 boy
6788 1886 Eldon 0.000059 boy
6789 1886 Elvis 0.000059 boy
6790 1886 Finis 0.000059 boy
6791 1886 Flem 0.000059 boy
6792 1886 Garnett 0.000059 boy
6793 1886 Gary 0.000059 boy
6794 1886 Gertrude 0.000059 boy
6795 1886 Graham 0.000059 boy
6796 1886 Gregory 0.000059 boy
6797 1886 Guadalupe 0.000059 boy
6798 1886 Hardie 0.000059 boy
6799 1886 Harper 0.000059 boy
6800 1886 Harvy 0.000059 boy
6801 1886 Hezekiah 0.000059 boy
6802 1886 Hollie 0.000059 boy
6803 1886 Hoyt 0.000059 boy
6804 1886 Hubbard 0.000059 boy
6805 1886 Hunter 0.000059 boy
6806 1886 Ignacio 0.000059 boy
6807 1886 Jarvis 0.000059 boy
6808 1886 Jule 0.000059 boy
6809 1886 Jules 0.000059 boy
6810 1886 Julia 0.000059 boy
6811 1886 Leopold 0.000059 boy
6812 1886 Lew 0.000059 boy
6813 1886 Marshal 0.000059 boy
6814 1886 Martha 0.000059 boy
6815 1886 Merl 0.000059 boy
6816 1886 Mont 0.000059 boy
6817 1886 Murphy 0.000059 boy
6818 1886 Nehemiah 0.000059 boy
6819 1886 Nicolas 0.000059 boy
6820 1886 Norbert 0.000059 boy
6821 1886 Norwood 0.000059 boy
6822 1886 Ocie 0.000059 boy
6823 1886 Ola 0.000059 boy
6824 1886 Orange 0.000059 boy
6825 1886 Orland 0.000059 boy
6826 1886 Pablo 0.000059 boy
6827 1886 Parley 0.000059 boy
6828 1886 Pleas 0.000059 boy
6829 1886 Randall 0.000059 boy
6830 1886 Raphael 0.000059 boy
6831 1886 Rene 0.000059 boy
6832 1886 Reno 0.000059 boy
6833 1886 Rudy 0.000059 boy
6834 1886 Rueben 0.000059 boy
6835 1886 Rush 0.000059 boy
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9659 1889 Octave 0.000084 boy
9660 1889 Ola 0.000084 boy
9661 1889 Orange 0.000084 boy
9662 1889 Pierre 0.000084 boy
9663 1889 Quincy 0.000084 boy
9664 1889 Rowland 0.000084 boy
9665 1889 Seymour 0.000084 boy
9666 1889 Sullivan 0.000084 boy
9667 1889 Thaddeus 0.000084 boy
9668 1889 Tillman 0.000084 boy
9669 1889 Tobias 0.000084 boy
9670 1889 Urban 0.000084 boy
9671 1889 Vivian 0.000084 boy
9672 1889 Young 0.000084 boy
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9674 1889 Alice 0.000076 boy
9675 1889 Alonza 0.000076 boy
9676 1889 Aron 0.000076 boy
9677 1889 Arvid 0.000076 boy
9678 1889 Avery 0.000076 boy
9679 1889 Benson 0.000076 boy
9680 1889 Bonnie 0.000076 boy
9681 1889 Brown 0.000076 boy
9682 1889 Buck 0.000076 boy
9683 1889 Burley 0.000076 boy
9684 1889 Clara 0.000076 boy
9685 1889 Colonel 0.000076 boy
9686 1889 Dora 0.000076 boy
9687 1889 Doyle 0.000076 boy
9688 1889 Eber 0.000076 boy
9689 1889 Elden 0.000076 boy
9690 1889 Gabriel 0.000076 boy
9691 1889 Garland 0.000076 boy
9692 1889 Gerard 0.000076 boy
9693 1889 Golden 0.000076 boy
9694 1889 Helmer 0.000076 boy
9695 1889 Hershel 0.000076 boy
9696 1889 Hubbard 0.000076 boy
9697 1889 Ignatius 0.000076 boy
9698 1889 Jennie 0.000076 boy
9699 1889 Jesus 0.000076 boy
9700 1889 Jodie 0.000076 boy
9701 1889 Lennie 0.000076 boy
9702 1889 Lew 0.000076 boy
9703 1889 Lionel 0.000076 boy
9704 1889 Maude 0.000076 boy
9705 1889 May 0.000076 boy
9706 1889 Merrill 0.000076 boy
9707 1889 Mervin 0.000076 boy
9708 1889 Mitchel 0.000076 boy
9709 1889 Oral 0.000076 boy
9710 1889 Orie 0.000076 boy
9711 1889 Park 0.000076 boy
9712 1889 Rene 0.000076 boy
9713 1889 Richmond 0.000076 boy
9714 1889 Roderick 0.000076 boy
9715 1889 Rodney 0.000076 boy
9716 1889 Rube 0.000076 boy
9717 1889 Terry 0.000076 boy
9718 1889 Tomas 0.000076 boy
9719 1889 Tommy 0.000076 boy
9720 1889 Willam 0.000076 boy
9721 1889 Wilton 0.000076 boy
9722 1889 Ace 0.000067 boy
9723 1889 Acie 0.000067 boy
9724 1889 Alfonzo 0.000067 boy
9725 1889 Algie 0.000067 boy
9726 1889 Andres 0.000067 boy
9727 1889 Arther 0.000067 boy
9728 1889 Augusta 0.000067 boy
9729 1889 Augustine 0.000067 boy
9730 1889 Barton 0.000067 boy
9731 1889 Carlie 0.000067 boy
9732 1889 Cicero 0.000067 boy
9733 1889 Dana 0.000067 boy
9734 1889 Darwin 0.000067 boy
9735 1889 Edna 0.000067 boy
9736 1889 Effie 0.000067 boy
9737 1889 Eldridge 0.000067 boy
9738 1889 Elzie 0.000067 boy
9739 1889 Ennis 0.000067 boy
9740 1889 Erick 0.000067 boy
9741 1889 Fredric 0.000067 boy
9742 1889 Gerhard 0.000067 boy
9743 1889 Hallie 0.000067 boy
9744 1889 Hazel 0.000067 boy
9745 1889 Heber 0.000067 boy
9746 1889 Helen 0.000067 boy
9747 1889 Hermon 0.000067 boy
9748 1889 Hilliard 0.000067 boy
9749 1889 Howell 0.000067 boy
9750 1889 Humphrey 0.000067 boy
9751 1889 Hyman 0.000067 boy
9752 1889 Ida 0.000067 boy
9753 1889 Isham 0.000067 boy
9754 1889 Issac 0.000067 boy
9755 1889 Jones 0.000067 boy
9756 1889 Justin 0.000067 boy
9757 1889 Lambert 0.000067 boy
9758 1889 Levy 0.000067 boy
9759 1889 Loy 0.000067 boy
9760 1889 Mahlon 0.000067 boy
9761 1889 Mannie 0.000067 boy
9762 1889 Marie 0.000067 boy
9763 1889 Mell 0.000067 boy
9764 1889 Micheal 0.000067 boy
9765 1889 Miguel 0.000067 boy
9766 1889 Milford 0.000067 boy
9767 1889 Nat 0.000067 boy
9768 1889 Nellie 0.000067 boy
9769 1889 Norbert 0.000067 boy
9770 1889 Oakley 0.000067 boy
9771 1889 Olen 0.000067 boy
9772 1889 Oran 0.000067 boy
9773 1889 Palmer 0.000067 boy
9774 1889 Press 0.000067 boy
9775 1889 Rafael 0.000067 boy
9776 1889 Rubin 0.000067 boy
9777 1889 Sampson 0.000067 boy
9778 1889 Sanders 0.000067 boy
9779 1889 Shelly 0.000067 boy
9780 1889 Sid 0.000067 boy
9781 1889 Son 0.000067 boy
9782 1889 Thad 0.000067 boy
9783 1889 Theo 0.000067 boy
9784 1889 Vernie 0.000067 boy
9785 1889 Watson 0.000067 boy
9786 1889 Whitney 0.000067 boy
9787 1889 Willian 0.000067 boy
9788 1889 Zeb 0.000067 boy
9789 1889 Ada 0.000059 boy
9790 1889 Adelard 0.000059 boy
9791 1889 Adolfo 0.000059 boy
9792 1889 Aleck 0.000059 boy
9793 1889 Alfonso 0.000059 boy
9794 1889 Alfredo 0.000059 boy
9795 1889 Allison 0.000059 boy
9796 1889 Alpha 0.000059 boy
9797 1889 Auther 0.000059 boy
9798 1889 Barry 0.000059 boy
9799 1889 Bartley 0.000059 boy
9800 1889 Baxter 0.000059 boy
9801 1889 Benedict 0.000059 boy
9802 1889 Bernice 0.000059 boy
9803 1889 Bertrand 0.000059 boy
9804 1889 Bessie 0.000059 boy
9805 1889 Blair 0.000059 boy
9806 1889 Branch 0.000059 boy
9807 1889 Brice 0.000059 boy
9808 1889 Bruno 0.000059 boy
9809 1889 Bush 0.000059 boy
9810 1889 Carson 0.000059 boy
9811 1889 Clarance 0.000059 boy
9812 1889 Cleo 0.000059 boy
9813 1889 Collins 0.000059 boy
9814 1889 Commodore 0.000059 boy
9815 1889 Cora 0.000059 boy
9816 1889 Dell 0.000059 boy
9817 1889 Denver 0.000059 boy
9818 1889 Dexter 0.000059 boy
9819 1889 Doss 0.000059 boy
9820 1889 Eben 0.000059 boy
9821 1889 Edith 0.000059 boy
9822 1889 Edmon 0.000059 boy
9823 1889 Elgin 0.000059 boy
9824 1889 Emmit 0.000059 boy
9825 1889 Ephraim 0.000059 boy
9826 1889 Ernie 0.000059 boy
9827 1889 Ewald 0.000059 boy
9828 1889 Ewell 0.000059 boy
9829 1889 Fannie 0.000059 boy
9830 1889 Fate 0.000059 boy
9831 1889 Federico 0.000059 boy
9832 1889 Florencio 0.000059 boy
9833 1889 Franz 0.000059 boy
9834 1889 Garnet 0.000059 boy
9835 1889 Gertrude 0.000059 boy
9836 1889 Governor 0.000059 boy
9837 1889 Graham 0.000059 boy
9838 1889 Gray 0.000059 boy
9839 1889 Griffin 0.000059 boy
9840 1889 Hayward 0.000059 boy
9841 1889 Hector 0.000059 boy
9842 1889 Isidore 0.000059 boy
9843 1889 Iva 0.000059 boy
9844 1889 Jewel 0.000059 boy
9845 1889 Jewell 0.000059 boy
9846 1889 Jonah 0.000059 boy
9847 1889 Jordan 0.000059 boy
9848 1889 Josephus 0.000059 boy
9849 1889 Jule 0.000059 boy
9850 1889 June 0.000059 boy
9851 1889 Laverne 0.000059 boy
9852 1889 Lillian 0.000059 boy
9853 1889 Linwood 0.000059 boy
9854 1889 Ludwig 0.000059 boy
9855 1889 Lum 0.000059 boy
9856 1889 Mabel 0.000059 boy
9857 1889 Maury 0.000059 boy
9858 1889 Merton 0.000059 boy
9859 1889 Nancy 0.000059 boy
9860 1889 Newman 0.000059 boy
9861 1889 Obie 0.000059 boy
9862 1889 Ocie 0.000059 boy
9863 1889 Odell 0.000059 boy
9864 1889 Orion 0.000059 boy
9865 1889 Paris 0.000059 boy
9866 1889 Pinkney 0.000059 boy
9867 1889 Pleas 0.000059 boy
9868 1889 Rice 0.000059 boy
9869 1889 Rollo 0.000059 boy
9870 1889 Salvatore 0.000059 boy
9871 1889 Theadore 0.000059 boy
9872 1889 Travis 0.000059 boy
9873 1889 Tyler 0.000059 boy
9874 1889 Wayland 0.000059 boy
9875 1889 Werner 0.000059 boy
9876 1889 West 0.000059 boy
9877 1889 Winston 0.000059 boy
9878 1889 Alcide 0.000050 boy
9879 1889 Alger 0.000050 boy
9880 1889 Almon 0.000050 boy
9881 1889 Alto 0.000050 boy
9882 1889 Ammon 0.000050 boy
9883 1889 Ansel 0.000050 boy
9884 1889 Anson 0.000050 boy
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9886 1889 Bedford 0.000050 boy
9887 1889 Blanche 0.000050 boy
9888 1889 Boss 0.000050 boy
9889 1889 Burrel 0.000050 boy
9890 1889 Callie 0.000050 boy
9891 1889 Carrie 0.000050 boy
9892 1889 Cassius 0.000050 boy
9893 1889 Chalmer 0.000050 boy
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9895 1889 Coley 0.000050 boy
9896 1889 Colin 0.000050 boy
9897 1889 Coy 0.000050 boy
9898 1889 Curley 0.000050 boy
9899 1889 Dalton 0.000050 boy
9900 1889 Denis 0.000050 boy
9901 1889 Dixie 0.000050 boy
9902 1889 Donnie 0.000050 boy
9903 1889 Dow 0.000050 boy
9904 1889 Earley 0.000050 boy
9905 1889 Edw 0.000050 boy
9906 1889 Elder 0.000050 boy
9907 1889 Eldred 0.000050 boy
9908 1889 Elie 0.000050 boy
9909 1889 Enos 0.000050 boy
9910 1889 Ernesto 0.000050 boy
9911 1889 Fayette 0.000050 boy
9912 1889 Fed 0.000050 boy
9913 1889 Fitzhugh 0.000050 boy
9914 1889 Foy 0.000050 boy
9915 1889 Gabe 0.000050 boy
9916 1889 Gail 0.000050 boy
9917 1889 Galen 0.000050 boy
9918 1889 Gaylord 0.000050 boy
9919 1889 Genie 0.000050 boy
9920 1889 Godfrey 0.000050 boy
9921 1889 Gregorio 0.000050 boy
9922 1889 Gregory 0.000050 boy
9923 1889 Harland 0.000050 boy
9924 1889 Hayden 0.000050 boy
9925 1889 Hjalmar 0.000050 boy
9926 1889 Hjalmer 0.000050 boy
9927 1889 Jarvis 0.000050 boy
9928 1889 Jens 0.000050 boy
9929 1889 Joesph 0.000050 boy
9930 1889 Josephine 0.000050 boy
9931 1889 Keith 0.000050 boy
9932 1889 Knute 0.000050 boy
9933 1889 Lawton 0.000050 boy
9934 1889 Len 0.000050 boy
9935 1889 Leonce 0.000050 boy
9936 1889 Levin 0.000050 boy
9937 1889 Lillie 0.000050 boy
9938 1889 Lish 0.000050 boy
9939 1889 Lorenz 0.000050 boy
9940 1889 Lorenza 0.000050 boy
9941 1889 Louise 0.000050 boy
9942 1889 Love 0.000050 boy
9943 1889 Malachi 0.000050 boy
9944 1889 Manford 0.000050 boy
9945 1889 Marshal 0.000050 boy
9946 1889 Mat 0.000050 boy
9947 1889 Minor 0.000050 boy
9948 1889 Montgomery 0.000050 boy
9949 1889 Okey 0.000050 boy
9950 1889 Ossie 0.000050 boy
9951 1889 Pascal 0.000050 boy
9952 1889 Percival 0.000050 boy
9953 1889 Posey 0.000050 boy
9954 1889 Redmond 0.000050 boy
9955 1889 Robin 0.000050 boy
9956 1889 Rosco 0.000050 boy
9957 1889 Rosendo 0.000050 boy
9958 1889 Rush 0.000050 boy
9959 1889 Sebastian 0.000050 boy
9960 1889 Sheldon 0.000050 boy
9961 1889 Stafford 0.000050 boy
9962 1889 Starling 0.000050 boy
9963 1889 Steward 0.000050 boy
9964 1889 Talmadge 0.000050 boy
9965 1889 Thos 0.000050 boy
9966 1889 Unknown 0.000050 boy
9967 1889 Vester 0.000050 boy
9968 1889 Virgle 0.000050 boy
9969 1889 Waverly 0.000050 boy
9970 1889 Wellington 0.000050 boy
9971 1889 Williams 0.000050 boy
9972 1889 Winford 0.000050 boy
9973 1889 Wright 0.000050 boy
9974 1889 Abie 0.000042 boy
9975 1889 Alphonsus 0.000042 boy
9976 1889 Alta 0.000042 boy
9977 1889 Alver 0.000042 boy
9978 1889 Ananias 0.000042 boy
9979 1889 Anatole 0.000042 boy
9980 1889 Archer 0.000042 boy
9981 1889 Armand 0.000042 boy
9982 1889 Art 0.000042 boy
9983 1889 Benjamen 0.000042 boy
9984 1889 Benny 0.000042 boy
9985 1889 Billy 0.000042 boy
9986 1889 Bird 0.000042 boy
9987 1889 Bobbie 0.000042 boy
9988 1889 Booker 0.000042 boy
9989 1889 Boone 0.000042 boy
9990 1889 Bradford 0.000042 boy
9991 1889 Brooks 0.000042 boy
9992 1889 Buell 0.000042 boy
9993 1889 Byrd 0.000042 boy
9994 1889 Chesley 0.000042 boy
9995 1889 Chin 0.000042 boy
9996 1889 Claiborne 0.000042 boy
9997 1889 Cleave 0.000042 boy
9998 1889 Clemens 0.000042 boy
9999 1889 Collie 0.000042 boy
10000 1889 Cooper 0.000042 boy
10001 1890 John 0.071034 boy
10002 1890 William 0.062604 boy
10003 1890 James 0.042580 boy
10004 1890 George 0.037242 boy
10005 1890 Charles 0.033925 boy
10006 1890 Frank 0.025713 boy
10007 1890 Joseph 0.022305 boy
10008 1890 Robert 0.021236 boy
10009 1890 Henry 0.019623 boy
10010 1890 Harry 0.019590 boy
10011 1890 Edward 0.019064 boy
10012 1890 Thomas 0.018379 boy
10013 1890 Walter 0.015914 boy
10014 1890 Arthur 0.013450 boy
10015 1890 Fred 0.012589 boy
10016 1890 Albert 0.011838 boy
10017 1890 Clarence 0.008504 boy
10018 1890 Roy 0.007861 boy
10019 1890 Louis 0.007184 boy
10020 1890 Samuel 0.006808 boy
10021 1890 Charlie 0.006658 boy
10022 1890 Ernest 0.006466 boy
10023 1890 Willie 0.006332 boy
10024 1890 Earl 0.006215 boy
10025 1890 Richard 0.006215 boy
10026 1890 David 0.006107 boy
10027 1890 Carl 0.005789 boy
10028 1890 Joe 0.005697 boy
10029 1890 Oscar 0.005246 boy
10030 1890 Will 0.005121 boy
10031 1890 Paul 0.005071 boy
10032 1890 Ralph 0.004904 boy
10033 1890 Jesse 0.004812 boy
10034 1890 Andrew 0.004804 boy
10035 1890 Alfred 0.004586 boy
10036 1890 Raymond 0.004561 boy
10037 1890 Benjamin 0.004486 boy
10038 1890 Elmer 0.004411 boy
10039 1890 Daniel 0.004219 boy
10040 1890 Howard 0.004185 boy
10041 1890 Sam 0.004085 boy
10042 1890 Herbert 0.003901 boy
10043 1890 Frederick 0.003425 boy
10044 1890 Lee 0.003425 boy
10045 1890 Peter 0.003425 boy
10046 1890 Eugene 0.003408 boy
10047 1890 Harold 0.003408 boy
10048 1890 Michael 0.003300 boy
10049 1890 Leo 0.003283 boy
10050 1890 Herman 0.003191 boy
10051 1890 Lewis 0.003133 boy
10052 1890 Lawrence 0.003108 boy
10053 1890 Jack 0.003074 boy
10054 1890 Francis 0.003032 boy
10055 1890 Ben 0.003024 boy
10056 1890 Ray 0.002916 boy
10057 1890 Claude 0.002899 boy
10058 1890 Martin 0.002899 boy
10059 1890 Tom 0.002899 boy
10060 1890 Floyd 0.002849 boy
10061 1890 Edgar 0.002824 boy
10062 1890 Jim 0.002807 boy
10063 1890 Edwin 0.002698 boy
10064 1890 Clyde 0.002648 boy
10065 1890 Harvey 0.002473 boy
10066 1890 Jacob 0.002423 boy
10067 1890 Leonard 0.002297 boy
10068 1890 Otto 0.002231 boy
10069 1890 Chester 0.002197 boy
10070 1890 Ed 0.002189 boy
10071 1890 Luther 0.002114 boy
10072 1890 Guy 0.002080 boy
10073 1890 Jessie 0.002013 boy
10074 1890 Leroy 0.001972 boy
10075 1890 Patrick 0.001896 boy
10076 1890 Lester 0.001880 boy
10077 1890 Homer 0.001863 boy
10078 1890 Stanley 0.001863 boy
10079 1890 Archie 0.001846 boy
10080 1890 Hugh 0.001830 boy
10081 1890 Oliver 0.001821 boy
10082 1890 Ira 0.001746 boy
10083 1890 Clifford 0.001729 boy
10084 1890 August 0.001721 boy
10085 1890 Alexander 0.001687 boy
10086 1890 Eddie 0.001646 boy
10087 1890 Leon 0.001646 boy
10088 1890 Philip 0.001604 boy
10089 1890 Theodore 0.001587 boy
10090 1890 Allen 0.001579 boy
10091 1890 Anthony 0.001579 boy
10092 1890 Isaac 0.001562 boy
10093 1890 Charley 0.001529 boy
10094 1890 Lloyd 0.001520 boy
10095 1890 Russell 0.001520 boy
10096 1890 Leslie 0.001512 boy
10097 1890 Bert 0.001504 boy
10098 1890 Bernard 0.001487 boy
10099 1890 Grover 0.001479 boy
10100 1890 Sidney 0.001470 boy
10101 1890 Emil 0.001378 boy
10102 1890 Everett 0.001362 boy
10103 1890 Horace 0.001353 boy
10104 1890 Dan 0.001337 boy
10105 1890 Julius 0.001328 boy
10106 1890 Warren 0.001312 boy
10107 1890 Harrison 0.001303 boy
10108 1890 Norman 0.001303 boy
10109 1890 Stephen 0.001303 boy
10110 1890 Dave 0.001270 boy
10111 1890 Alex 0.001228 boy
10112 1890 Alvin 0.001228 boy
10113 1890 Percy 0.001170 boy
10114 1890 Victor 0.001153 boy
10115 1890 Wallace 0.001153 boy
10116 1890 Marion 0.001144 boy
10117 1890 Wesley 0.001094 boy
10118 1890 Willis 0.001078 boy
10119 1890 Milton 0.001053 boy
10120 1890 Earnest 0.001019 boy
10121 1890 Cecil 0.001002 boy
10122 1890 Otis 0.000994 boy
10123 1890 Glenn 0.000977 boy
10124 1890 Calvin 0.000969 boy
10125 1890 Gilbert 0.000969 boy
10126 1890 Rufus 0.000961 boy
10127 1890 Amos 0.000952 boy
10128 1890 Jess 0.000952 boy
10129 1890 Mack 0.000952 boy
10130 1890 Nathan 0.000919 boy
10131 1890 Donald 0.000911 boy
10132 1890 Gus 0.000911 boy
10133 1890 Jay 0.000902 boy
10134 1890 Perry 0.000902 boy
10135 1890 Lonnie 0.000894 boy
10136 1890 Emmett 0.000869 boy
10137 1890 Jerry 0.000860 boy
10138 1890 Adolph 0.000852 boy
10139 1890 Dennis 0.000852 boy
10140 1890 Maurice 0.000852 boy
10141 1890 Ross 0.000844 boy
10142 1890 Virgil 0.000835 boy
10143 1890 Marvin 0.000827 boy
10144 1890 Max 0.000827 boy
10145 1890 Roscoe 0.000827 boy
10146 1890 Melvin 0.000819 boy
10147 1890 Aaron 0.000802 boy
10148 1890 Manuel 0.000802 boy
10149 1890 Jasper 0.000794 boy
10150 1890 Wilbur 0.000785 boy
10151 1890 Jose 0.000777 boy
10152 1890 Morris 0.000777 boy
10153 1890 Sylvester 0.000777 boy
10154 1890 Rudolph 0.000769 boy
10155 1890 Claud 0.000760 boy
10156 1890 Clinton 0.000752 boy
10157 1890 Franklin 0.000752 boy
10158 1890 Johnnie 0.000752 boy
10159 1890 Elbert 0.000744 boy
10160 1890 Willard 0.000744 boy
10161 1890 Alonzo 0.000735 boy
10162 1890 Orville 0.000735 boy
10163 1890 Ollie 0.000727 boy
10164 1890 Curtis 0.000718 boy
10165 1890 Matthew 0.000718 boy
10166 1890 Hubert 0.000710 boy
10167 1890 Cornelius 0.000702 boy
10168 1890 Silas 0.000702 boy
10169 1890 Mark 0.000693 boy
10170 1890 Mike 0.000693 boy
10171 1890 Vernon 0.000693 boy
10172 1890 Irvin 0.000685 boy
10173 1890 Fredrick 0.000668 boy
10174 1890 Phillip 0.000668 boy
10175 1890 Nicholas 0.000652 boy
10176 1890 Clayton 0.000643 boy
10177 1890 Jeff 0.000643 boy
10178 1890 Nathaniel 0.000627 boy
10179 1890 Reuben 0.000627 boy
10180 1890 Adam 0.000618 boy
10181 1890 Levi 0.000618 boy
10182 1890 Noah 0.000618 boy
10183 1890 Anton 0.000610 boy
10184 1890 Marshall 0.000610 boy
10185 1890 Simon 0.000610 boy
10186 1890 Bill 0.000601 boy
10187 1890 Felix 0.000601 boy
10188 1890 Jake 0.000601 boy
10189 1890 Kenneth 0.000601 boy
10190 1890 Ellis 0.000593 boy
10191 1890 Nelson 0.000593 boy
10192 1890 Abraham 0.000585 boy
10193 1890 Irving 0.000576 boy
10194 1890 Alva 0.000568 boy
10195 1890 Glen 0.000568 boy
10196 1890 Hiram 0.000568 boy
10197 1890 Owen 0.000568 boy
10198 1890 Roland 0.000568 boy
10199 1890 Sherman 0.000560 boy
10200 1890 Wilson 0.000560 boy
10201 1890 Christopher 0.000551 boy
10202 1890 Steve 0.000551 boy
10203 1890 Grant 0.000543 boy
10204 1890 Elijah 0.000535 boy
10205 1890 Jerome 0.000535 boy
10206 1890 Moses 0.000535 boy
10207 1890 Austin 0.000526 boy
10208 1890 Gordon 0.000526 boy
10209 1890 Julian 0.000526 boy
10210 1890 Edd 0.000518 boy
10211 1890 Millard 0.000518 boy
10212 1890 Don 0.000510 boy
10213 1890 Vincent 0.000510 boy
10214 1890 Pete 0.000501 boy
10215 1890 Wiley 0.000501 boy
10216 1890 Anderson 0.000493 boy
10217 1890 Bruce 0.000493 boy
10218 1890 Dock 0.000485 boy
10219 1890 Clifton 0.000476 boy
10220 1890 Mose 0.000476 boy
10221 1890 Cleveland 0.000468 boy
10222 1890 Forrest 0.000468 boy
10223 1890 Timothy 0.000468 boy
10224 1890 Bennie 0.000451 boy
10225 1890 Edmund 0.000451 boy
10226 1890 Andy 0.000443 boy
10227 1890 Bob 0.000443 boy
10228 1890 Monroe 0.000443 boy
10229 1890 Arnold 0.000434 boy
10230 1890 Byron 0.000434 boy
10231 1890 Harley 0.000434 boy
10232 1890 Roger 0.000434 boy
10233 1890 Clark 0.000426 boy
10234 1890 Edmond 0.000426 boy
10235 1890 Wade 0.000426 boy
10236 1890 Juan 0.000418 boy
10237 1890 Abe 0.000409 boy
10238 1890 Christian 0.000409 boy
10239 1890 Eli 0.000409 boy
10240 1890 Ned 0.000409 boy
10241 1890 Ora 0.000409 boy
10242 1890 Preston 0.000409 boy
10243 1890 Asa 0.000401 boy
10244 1890 Ike 0.000401 boy
10245 1890 Pearl 0.000401 boy
10246 1890 Bud 0.000393 boy
10247 1890 Enoch 0.000393 boy
10248 1890 Karl 0.000393 boy
10249 1890 Miles 0.000393 boy
10250 1890 Lon 0.000384 boy
10251 1890 Newton 0.000384 boy
10252 1890 Leland 0.000376 boy
10253 1890 Nick 0.000376 boy
10254 1890 Wayne 0.000376 boy
10255 1890 Wilfred 0.000376 boy
10256 1890 Barney 0.000368 boy
10257 1890 Conrad 0.000368 boy
10258 1890 Gerald 0.000368 boy
10259 1890 Augustus 0.000359 boy
10260 1890 Columbus 0.000359 boy
10261 1890 Earle 0.000359 boy
10262 1890 Ervin 0.000359 boy
10263 1890 Ezra 0.000359 boy
10264 1890 Grady 0.000359 boy
10265 1890 Hugo 0.000359 boy
10266 1890 Mathew 0.000359 boy
10267 1890 Solomon 0.000359 boy
10268 1890 Laurence 0.000351 boy
10269 1890 Luke 0.000351 boy
10270 1890 Carroll 0.000343 boy
10271 1890 Isaiah 0.000343 boy
10272 1890 Johnie 0.000334 boy
10273 1890 Neal 0.000334 boy
10274 1890 Scott 0.000334 boy
10275 1890 Jefferson 0.000326 boy
10276 1890 Louie 0.000326 boy
10277 1890 Riley 0.000326 boy
10278 1890 Tony 0.000326 boy
10279 1890 Archibald 0.000317 boy
10280 1890 Douglas 0.000317 boy
10281 1890 Ivan 0.000317 boy
10282 1890 Allan 0.000309 boy
10283 1890 Ambrose 0.000309 boy
10284 1890 Chauncey 0.000309 boy
10285 1890 Forest 0.000309 boy
10286 1890 Gustave 0.000309 boy
10287 1890 Joel 0.000309 boy
10288 1890 Ward 0.000309 boy
10289 1890 Elias 0.000301 boy
10290 1890 Boyd 0.000292 boy
10291 1890 Erwin 0.000292 boy
10292 1890 Jeremiah 0.000292 boy
10293 1890 Mary 0.000292 boy
10294 1890 Antonio 0.000284 boy
10295 1890 Benjiman 0.000284 boy
10296 1890 Emery 0.000284 boy
10297 1890 Jimmie 0.000284 boy
10298 1890 Omer 0.000284 boy
10299 1890 Ferdinand 0.000276 boy
10300 1890 Green 0.000276 boy
10301 1890 Marcus 0.000276 boy
10302 1890 Chris 0.000267 boy
10303 1890 Clay 0.000267 boy
10304 1890 Dallas 0.000267 boy
10305 1890 Emanuel 0.000267 boy
10306 1890 Isiah 0.000267 boy
10307 1890 Loyd 0.000267 boy
10308 1890 Murray 0.000267 boy
10309 1890 Pedro 0.000267 boy
10310 1890 Ulysses 0.000267 boy
10311 1890 Vern 0.000267 boy
10312 1890 Cyrus 0.000259 boy
10313 1890 Dick 0.000259 boy
10314 1890 Morton 0.000259 boy
10315 1890 Royal 0.000259 boy
10316 1890 Burt 0.000251 boy
10317 1890 Dewitt 0.000251 boy
10318 1890 Lucius 0.000251 boy
10319 1890 Mitchell 0.000251 boy
10320 1890 Rex 0.000251 boy
10321 1890 Spencer 0.000251 boy
10322 1890 Chas 0.000242 boy
10323 1890 Emory 0.000242 boy
10324 1890 Neil 0.000242 boy
10325 1890 Pat 0.000242 boy
10326 1890 Thurman 0.000242 boy
10327 1890 Walker 0.000242 boy
10328 1890 Burton 0.000234 boy
10329 1890 Delbert 0.000234 boy
10330 1890 Freeman 0.000234 boy
10331 1890 Garfield 0.000234 boy
10332 1890 Lemuel 0.000234 boy
10333 1890 Lynn 0.000234 boy
10334 1890 Matt 0.000234 boy
10335 1890 Wilbert 0.000234 boy
10336 1890 Clement 0.000226 boy
10337 1890 Hardy 0.000226 boy
10338 1890 Harmon 0.000226 boy
10339 1890 Lyman 0.000226 boy
10340 1890 Major 0.000226 boy
10341 1890 Malcolm 0.000226 boy
10342 1890 Stewart 0.000226 boy
10343 1890 Van 0.000226 boy
10344 1890 Winfield 0.000226 boy
10345 1890 Loren 0.000217 boy
10346 1890 Merle 0.000217 boy
10347 1890 Myron 0.000217 boy
10348 1890 Orval 0.000217 boy
10349 1890 Porter 0.000217 boy
10350 1890 Zack 0.000217 boy
10351 1890 Clem 0.000209 boy
10352 1890 Dean 0.000209 boy
10353 1890 Fay 0.000209 boy
10354 1890 Jackson 0.000209 boy
10355 1890 Napoleon 0.000209 boy
10356 1890 Ruben 0.000209 boy
10357 1890 Verne 0.000209 boy
10358 1890 Dwight 0.000200 boy
10359 1890 Elisha 0.000200 boy
10360 1890 Elliott 0.000200 boy
10361 1890 Elwood 0.000200 boy
10362 1890 Emmet 0.000200 boy
10363 1890 General 0.000200 boy
10364 1890 Josh 0.000200 boy
10365 1890 Joshua 0.000200 boy
10366 1890 Larry 0.000200 boy
10367 1890 Lorenzo 0.000200 boy
10368 1890 Ole 0.000200 boy
10369 1890 Albin 0.000192 boy
10370 1890 Arch 0.000192 boy
10371 1890 Early 0.000192 boy
10372 1890 Fletcher 0.000192 boy
10373 1890 Foster 0.000192 boy
10374 1890 Johnny 0.000192 boy
10375 1890 Morgan 0.000192 boy
10376 1890 Allie 0.000184 boy
10377 1890 Ellsworth 0.000184 boy
10378 1890 Elzie 0.000184 boy
10379 1890 Evan 0.000184 boy
10380 1890 Jonas 0.000184 boy
10381 1890 Lowell 0.000184 boy
10382 1890 Lyle 0.000184 boy
10383 1890 Ramon 0.000184 boy
10384 1890 Taylor 0.000184 boy
10385 1890 Tommie 0.000184 boy
10386 1890 Waldo 0.000184 boy
10387 1890 Warner 0.000184 boy
10388 1890 Webster 0.000184 boy
10389 1890 Alton 0.000175 boy
10390 1890 Angus 0.000175 boy
10391 1890 Arlie 0.000175 boy
10392 1890 Aubrey 0.000175 boy
10393 1890 Clint 0.000175 boy
10394 1890 Emile 0.000175 boy
10395 1890 Frederic 0.000175 boy
10396 1890 Gustav 0.000175 boy
10397 1890 Hal 0.000175 boy
10398 1890 Judson 0.000175 boy
10399 1890 King 0.000175 boy
10400 1890 Noble 0.000175 boy
10401 1890 Phil 0.000175 boy
10402 1890 Pierce 0.000175 boy
10403 1890 Randolph 0.000175 boy
10404 1890 Wm 0.000175 boy
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10406 1890 Christ 0.000167 boy
10407 1890 Clair 0.000167 boy
10408 1890 Davis 0.000167 boy
10409 1890 Leander 0.000167 boy
10410 1890 Mathias 0.000167 boy
10411 1890 Ronald 0.000167 boy
10412 1890 Sim 0.000167 boy
10413 1890 Steven 0.000167 boy
10414 1890 Ted 0.000167 boy
10415 1890 Abram 0.000159 boy
10416 1890 Bishop 0.000159 boy
10417 1890 Dee 0.000159 boy
10418 1890 Gust 0.000159 boy
10419 1890 Herschel 0.000159 boy
10420 1890 Lige 0.000159 boy
10421 1890 Reginald 0.000159 boy
10422 1890 Rodney 0.000159 boy
10423 1890 Shirley 0.000159 boy
10424 1890 Alphonse 0.000150 boy
10425 1890 Bertram 0.000150 boy
10426 1890 Cleve 0.000150 boy
10427 1890 Dudley 0.000150 boy
10428 1890 Israel 0.000150 boy
10429 1890 Pablo 0.000150 boy
10430 1890 Prince 0.000150 boy
10431 1890 Raleigh 0.000150 boy
10432 1890 Truman 0.000150 boy
10433 1890 Valentine 0.000150 boy
10434 1890 Adrian 0.000142 boy
10435 1890 Avery 0.000142 boy
10436 1890 Basil 0.000142 boy
10437 1890 Bennett 0.000142 boy
10438 1890 Berry 0.000142 boy
10439 1890 Carlos 0.000142 boy
10440 1890 Carlton 0.000142 boy
10441 1890 Dorsey 0.000142 boy
10442 1890 Ford 0.000142 boy
10443 1890 Francisco 0.000142 boy
10444 1890 Garland 0.000142 boy
10445 1890 Gene 0.000142 boy
10446 1890 Hans 0.000142 boy
10447 1890 Harris 0.000142 boy
10448 1890 Irwin 0.000142 boy
10449 1890 Lacy 0.000142 boy
10450 1890 Lawson 0.000142 boy
10451 1890 Lem 0.000142 boy
10452 1890 Lonzo 0.000142 boy
10453 1890 Milo 0.000142 boy
10454 1890 Seymour 0.000142 boy
10455 1890 Tim 0.000142 boy
10456 1890 Turner 0.000142 boy
10457 1890 Wilburn 0.000142 boy
10458 1890 Alford 0.000134 boy
10459 1890 Antone 0.000134 boy
10460 1890 Arther 0.000134 boy
10461 1890 Artie 0.000134 boy
10462 1890 Axel 0.000134 boy
10463 1890 Cyril 0.000134 boy
10464 1890 Dewey 0.000134 boy
10465 1890 Elton 0.000134 boy
10466 1890 Emma 0.000134 boy
10467 1890 Evert 0.000134 boy
10468 1890 Fritz 0.000134 boy
10469 1890 Granville 0.000134 boy
10470 1890 Hallie 0.000134 boy
10471 1890 Johnson 0.000134 boy
10472 1890 Jonathan 0.000134 boy
10473 1890 Junius 0.000134 boy
10474 1890 Lucian 0.000134 boy
10475 1890 Mason 0.000134 boy
10476 1890 Minnie 0.000134 boy
10477 1890 Norris 0.000134 boy
10478 1890 Omar 0.000134 boy
10479 1890 Orrin 0.000134 boy
10480 1890 Ransom 0.000134 boy
10481 1890 Rollie 0.000134 boy
10482 1890 Rupert 0.000134 boy
10483 1890 Tomas 0.000134 boy
10484 1890 Tracy 0.000134 boy
10485 1890 Troy 0.000134 boy
10486 1890 Washington 0.000134 boy
10487 1890 Wilber 0.000134 boy
10488 1890 Wilford 0.000134 boy
10489 1890 Abner 0.000125 boy
10490 1890 Adelbert 0.000125 boy
10491 1890 Adolphus 0.000125 boy
10492 1890 Al 0.000125 boy
10493 1890 Cliff 0.000125 boy
10494 1890 Coleman 0.000125 boy
10495 1890 Elza 0.000125 boy
10496 1890 Gabriel 0.000125 boy
10497 1890 Garrett 0.000125 boy
10498 1890 Jean 0.000125 boy
10499 1890 Judge 0.000125 boy
10500 1890 Logan 0.000125 boy
10501 1890 Margaret 0.000125 boy
10502 1890 Maxwell 0.000125 boy
10503 1890 Nels 0.000125 boy
10504 1890 Olin 0.000125 boy
10505 1890 Pink 0.000125 boy
10506 1890 Russel 0.000125 boy
10507 1890 Seth 0.000125 boy
10508 1890 Smith 0.000125 boy
10509 1890 Sterling 0.000125 boy
10510 1890 Wilmer 0.000125 boy
10511 1890 Abel 0.000117 boy
10512 1890 Addison 0.000117 boy
10513 1890 Benton 0.000117 boy
10514 1890 Bryant 0.000117 boy
10515 1890 Casper 0.000117 boy
10516 1890 Dale 0.000117 boy
10517 1890 Evans 0.000117 boy
10518 1890 Florence 0.000117 boy
10519 1890 Geo 0.000117 boy
10520 1890 Henderson 0.000117 boy
10521 1890 Hoyt 0.000117 boy
10522 1890 Isadore 0.000117 boy
10523 1890 Lionel 0.000117 boy
10524 1890 Madison 0.000117 boy
10525 1890 Merrill 0.000117 boy
10526 1890 Minor 0.000117 boy
10527 1890 Nat 0.000117 boy
10528 1890 Olaf 0.000117 boy
10529 1890 Otha 0.000117 boy
10530 1890 Otho 0.000117 boy
10531 1890 Sol 0.000117 boy
10532 1890 Tommy 0.000117 boy
10533 1890 Aloysius 0.000109 boy
10534 1890 Aron 0.000109 boy
10535 1890 Augustine 0.000109 boy
10536 1890 Bailey 0.000109 boy
10537 1890 Bartholomew 0.000109 boy
10538 1890 Bernie 0.000109 boy
10539 1890 Buford 0.000109 boy
10540 1890 Cal 0.000109 boy
10541 1890 Cicero 0.000109 boy
10542 1890 Ebb 0.000109 boy
10543 1890 Emerson 0.000109 boy
10544 1890 Emmitt 0.000109 boy
10545 1890 Eric 0.000109 boy
10546 1890 Hamp 0.000109 boy
10547 1890 Harlan 0.000109 boy
10548 1890 Houston 0.000109 boy
10549 1890 Isom 0.000109 boy
10550 1890 Ivory 0.000109 boy
10551 1890 Justin 0.000109 boy
10552 1890 Levy 0.000109 boy
10553 1890 Lincoln 0.000109 boy
10554 1890 Lindsay 0.000109 boy
10555 1890 Loyal 0.000109 boy
10556 1890 Paris 0.000109 boy
10557 1890 Pleasant 0.000109 boy
10558 1890 Reed 0.000109 boy
10559 1890 Rubin 0.000109 boy
10560 1890 Sandy 0.000109 boy
10561 1890 Sanford 0.000109 boy
10562 1890 Stuart 0.000109 boy
10563 1890 Vance 0.000109 boy
10564 1890 West 0.000109 boy
10565 1890 Winfred 0.000109 boy
10566 1890 Alan 0.000100 boy
10567 1890 Alvah 0.000100 boy
10568 1890 Angelo 0.000100 boy
10569 1890 Ashley 0.000100 boy
10570 1890 Burl 0.000100 boy
10571 1890 Cleo 0.000100 boy
10572 1890 Dominick 0.000100 boy
10573 1890 Edna 0.000100 boy
10574 1890 Elizabeth 0.000100 boy
10575 1890 Elmo 0.000100 boy
10576 1890 Elmore 0.000100 boy
10577 1890 Enos 0.000100 boy
10578 1890 Frances 0.000100 boy
10579 1890 Gregory 0.000100 boy
10580 1890 Jason 0.000100 boy
10581 1890 Jules 0.000100 boy
10582 1890 Kirby 0.000100 boy
10583 1890 Lafayette 0.000100 boy
10584 1890 Lindsey 0.000100 boy
10585 1890 Love 0.000100 boy
10586 1890 Lucious 0.000100 boy
10587 1890 Merritt 0.000100 boy
10588 1890 Micheal 0.000100 boy
10589 1890 Milford 0.000100 boy
10590 1890 Miller 0.000100 boy
10591 1890 Ocie 0.000100 boy
10592 1890 Oral 0.000100 boy
10593 1890 Oren 0.000100 boy
10594 1890 Oswald 0.000100 boy
10595 1890 Parker 0.000100 boy
10596 1890 Price 0.000100 boy
10597 1890 Sid 0.000100 boy
10598 1890 Terry 0.000100 boy
10599 1890 Theo 0.000100 boy
10600 1890 Watson 0.000100 boy
10601 1890 Willian 0.000100 boy
10602 1890 Wyatt 0.000100 boy
10603 1890 Alec 0.000092 boy
10604 1890 Allison 0.000092 boy
10605 1890 Alma 0.000092 boy
10606 1890 Benjaman 0.000092 boy
10607 1890 Blaine 0.000092 boy
10608 1890 Butler 0.000092 boy
10609 1890 Carey 0.000092 boy
10610 1890 Doctor 0.000092 boy
10611 1890 Ephraim 0.000092 boy
10612 1890 Eva 0.000092 boy
10613 1890 Gary 0.000092 boy
10614 1890 Giles 0.000092 boy
10615 1890 Grace 0.000092 boy
10616 1890 Howell 0.000092 boy
10617 1890 Isham 0.000092 boy
10618 1890 Issac 0.000092 boy
10619 1890 Jimmy 0.000092 boy
10620 1890 Josiah 0.000092 boy
10621 1890 Kelly 0.000092 boy
10622 1890 Len 0.000092 boy
10623 1890 Maynard 0.000092 boy
10624 1890 Perley 0.000092 boy
10625 1890 Shelby 0.000092 boy
10626 1890 Sydney 0.000092 boy
10627 1890 Tobe 0.000092 boy
10628 1890 Wendell 0.000092 boy
10629 1890 Alden 0.000084 boy
10630 1890 Alf 0.000084 boy
10631 1890 Alice 0.000084 boy
10632 1890 Almon 0.000084 boy
10633 1890 Benedict 0.000084 boy
10634 1890 Benito 0.000084 boy
10635 1890 Bruno 0.000084 boy
10636 1890 Clemens 0.000084 boy
10637 1890 Cloyd 0.000084 boy
10638 1890 Eduardo 0.000084 boy
10639 1890 Elgin 0.000084 boy
10640 1890 Elvin 0.000084 boy
10641 1890 Erick 0.000084 boy
10642 1890 Fate 0.000084 boy
10643 1890 Finis 0.000084 boy
10644 1890 French 0.000084 boy
10645 1890 Hollis 0.000084 boy
10646 1890 Hosea 0.000084 boy
10647 1890 Ida 0.000084 boy
10648 1890 Lillian 0.000084 boy
10649 1890 Lonie 0.000084 boy
10650 1890 Lucien 0.000084 boy
10651 1890 Ludwig 0.000084 boy
10652 1890 Maggie 0.000084 boy
10653 1890 Mervin 0.000084 boy
10654 1890 Needham 0.000084 boy
10655 1890 Noel 0.000084 boy
10656 1890 Odie 0.000084 boy
10657 1890 Orla 0.000084 boy
10658 1890 Ottis 0.000084 boy
10659 1890 Palmer 0.000084 boy
10660 1890 Quincy 0.000084 boy
10661 1890 Rolla 0.000084 boy
10662 1890 Roman 0.000084 boy
10663 1890 Sullivan 0.000084 boy
10664 1890 Toney 0.000084 boy
10665 1890 Walton 0.000084 boy
10666 1890 Williams 0.000084 boy
10667 1890 Antoine 0.000075 boy
10668 1890 Baxter 0.000075 boy
10669 1890 Benjamine 0.000075 boy
10670 1890 Bonnie 0.000075 boy
10671 1890 Bradley 0.000075 boy
10672 1890 Brady 0.000075 boy
10673 1890 Buck 0.000075 boy
10674 1890 Burrell 0.000075 boy
10675 1890 Cary 0.000075 boy
10676 1890 Collie 0.000075 boy
10677 1890 Connie 0.000075 boy
10678 1890 Cora 0.000075 boy
10679 1890 Dayton 0.000075 boy
10680 1890 Delos 0.000075 boy
10681 1890 Denver 0.000075 boy
10682 1890 Doc 0.000075 boy
10683 1890 Dow 0.000075 boy
10684 1890 Duncan 0.000075 boy
10685 1890 Edith 0.000075 boy
10686 1890 Eldridge 0.000075 boy
10687 1890 Ernie 0.000075 boy
10688 1890 Ernst 0.000075 boy
10689 1890 Ezekiel 0.000075 boy
10690 1890 Freddie 0.000075 boy
10691 1890 Gabe 0.000075 boy
10692 1890 Gertrude 0.000075 boy
10693 1890 Godfrey 0.000075 boy
10694 1890 Golden 0.000075 boy
10695 1890 Gottlieb 0.000075 boy
10696 1890 Gustaf 0.000075 boy
10697 1890 Harve 0.000075 boy
10698 1890 Helmer 0.000075 boy
10699 1890 Henery 0.000075 boy
10700 1890 Hurley 0.000075 boy
10701 1890 Ignatius 0.000075 boy
10702 1890 Irl 0.000075 boy
10703 1890 Jesus 0.000075 boy
10704 1890 Joeseph 0.000075 boy
10705 1890 Jonah 0.000075 boy
10706 1890 Jule 0.000075 boy
10707 1890 Laura 0.000075 boy
10708 1890 Lew 0.000075 boy
10709 1890 Linwood 0.000075 boy
10710 1890 Lou 0.000075 boy
10711 1890 Louise 0.000075 boy
10712 1890 Lum 0.000075 boy
10713 1890 Manley 0.000075 boy
10714 1890 Mansfield 0.000075 boy
10715 1890 Marie 0.000075 boy
10716 1890 Maxie 0.000075 boy
10717 1890 Miguel 0.000075 boy
10718 1890 Mont 0.000075 boy
10719 1890 Nellie 0.000075 boy
10720 1890 Norbert 0.000075 boy
10721 1890 Obie 0.000075 boy
10722 1890 Odell 0.000075 boy
10723 1890 Park 0.000075 boy
10724 1890 Rafael 0.000075 boy
10725 1890 Ras 0.000075 boy
10726 1890 Rogers 0.000075 boy
10727 1890 Rolland 0.000075 boy
10728 1890 Sammie 0.000075 boy
10729 1890 Santiago 0.000075 boy
10730 1890 Selmer 0.000075 boy
10731 1890 Squire 0.000075 boy
10732 1890 Stanton 0.000075 boy
10733 1890 Terrence 0.000075 boy
10734 1890 Travis 0.000075 boy
10735 1890 Uriah 0.000075 boy
10736 1890 Vernie 0.000075 boy
10737 1890 Wylie 0.000075 boy
10738 1890 Zeno 0.000075 boy
10739 1890 Alpha 0.000067 boy
10740 1890 Alphonso 0.000067 boy
10741 1890 Andres 0.000067 boy
10742 1890 Arvid 0.000067 boy
10743 1890 Author 0.000067 boy
10744 1890 Bart 0.000067 boy
10745 1890 Barton 0.000067 boy
10746 1890 Bee 0.000067 boy
10747 1890 Bernice 0.000067 boy
10748 1890 Bertie 0.000067 boy
10749 1890 Billie 0.000067 boy
10750 1890 Boss 0.000067 boy
10751 1890 Brooks 0.000067 boy
10752 1890 Burley 0.000067 boy
10753 1890 Buster 0.000067 boy
10754 1890 Caleb 0.000067 boy
10755 1890 Carrie 0.000067 boy
10756 1890 Carson 0.000067 boy
10757 1890 Carter 0.000067 boy
10758 1890 Chalmer 0.000067 boy
10759 1890 Chancy 0.000067 boy
10760 1890 Clarance 0.000067 boy
10761 1890 Clovis 0.000067 boy
10762 1890 Cornelious 0.000067 boy
10763 1890 Coy 0.000067 boy
10764 1890 Dell 0.000067 boy
10765 1890 Dennie 0.000067 boy
10766 1890 Elie 0.000067 boy
10767 1890 Elsie 0.000067 boy
10768 1890 Ennis 0.000067 boy
10769 1890 Ethel 0.000067 boy
10770 1890 Federico 0.000067 boy
10771 1890 Felipe 0.000067 boy
10772 1890 Ferd 0.000067 boy
10773 1890 Gay 0.000067 boy
10774 1890 Gerhard 0.000067 boy
10775 1890 Guilford 0.000067 boy
10776 1890 Hamilton 0.000067 boy
10777 1890 Hattie 0.000067 boy
10778 1890 Hayden 0.000067 boy
10779 1890 Hazel 0.000067 boy
10780 1890 Hermon 0.000067 boy
10781 1890 Hilliard 0.000067 boy
10782 1890 Hunter 0.000067 boy
10783 1890 Ivy 0.000067 boy
10784 1890 Jones 0.000067 boy
10785 1890 June 0.000067 boy
10786 1890 Kit 0.000067 boy
10787 1890 Leopold 0.000067 boy
10788 1890 Lillard 0.000067 boy
10789 1890 Luis 0.000067 boy
10790 1890 Mabel 0.000067 boy
10791 1890 Malachi 0.000067 boy
10792 1890 Mat 0.000067 boy
10793 1890 Maude 0.000067 boy
10794 1890 Merton 0.000067 boy
10795 1890 Newell 0.000067 boy
10796 1890 Newt 0.000067 boy
10797 1890 Odis 0.000067 boy
10798 1890 Ples 0.000067 boy
10799 1890 Press 0.000067 boy
10800 1890 Roderick 0.000067 boy
10801 1890 Rose 0.000067 boy
10802 1890 Rush 0.000067 boy
10803 1890 Sampson 0.000067 boy
10804 1890 Sing 0.000067 boy
10805 1890 Thad 0.000067 boy
10806 1890 Tillman 0.000067 boy
10807 1890 Virgle 0.000067 boy
10808 1890 Weldon 0.000067 boy
10809 1890 Wellington 0.000067 boy
10810 1890 Wong 0.000067 boy
10811 1890 Worth 0.000067 boy
10812 1890 Xavier 0.000067 boy
10813 1890 Zeb 0.000067 boy
10814 1890 Alcide 0.000058 boy
10815 1890 Alto 0.000058 boy
10816 1890 Benny 0.000058 boy
10817 1890 Bryan 0.000058 boy
10818 1890 Burnie 0.000058 boy
10819 1890 Carleton 0.000058 boy
10820 1890 Cassius 0.000058 boy
10821 1890 Charlton 0.000058 boy
10822 1890 Chesley 0.000058 boy
10823 1890 Craig 0.000058 boy
10824 1890 Dana 0.000058 boy
10825 1890 Dawson 0.000058 boy
10826 1890 Denis 0.000058 boy
10827 1890 Dexter 0.000058 boy
10828 1890 Dominic 0.000058 boy
10829 1890 Dora 0.000058 boy
10830 1890 Duke 0.000058 boy
10831 1890 Eben 0.000058 boy
10832 1890 Eldon 0.000058 boy
10833 1890 Eula 0.000058 boy
10834 1890 Everette 0.000058 boy
10835 1890 Finley 0.000058 boy
10836 1890 Furman 0.000058 boy
10837 1890 Garnett 0.000058 boy
10838 1890 Gideon 0.000058 boy
10839 1890 Griffin 0.000058 boy
10840 1890 Guss 0.000058 boy
10841 1890 Halsey 0.000058 boy
10842 1890 Haywood 0.000058 boy
10843 1890 Heber 0.000058 boy
10844 1890 Helen 0.000058 boy
10845 1890 Hosteen 0.000058 boy
10846 1890 Huey 0.000058 boy
10847 1890 Jens 0.000058 boy
10848 1890 Keith 0.000058 boy
10849 1890 Laverne 0.000058 boy
10850 1890 Lemon 0.000058 boy
10851 1890 Llewellyn 0.000058 boy
10852 1890 Marcellus 0.000058 boy
10853 1890 Mckinley 0.000058 boy
10854 1890 Meyer 0.000058 boy
10855 1890 Mortimer 0.000058 boy
10856 1890 Newman 0.000058 boy
10857 1890 Ola 0.000058 boy
10858 1890 Orie 0.000058 boy
10859 1890 Orin 0.000058 boy
10860 1890 Orrie 0.000058 boy
10861 1890 Polk 0.000058 boy
10862 1890 Raoul 0.000058 boy
10863 1890 Reid 0.000058 boy
10864 1890 Reno 0.000058 boy
10865 1890 Roby 0.000058 boy
10866 1890 Rollo 0.000058 boy
10867 1890 Romeo 0.000058 boy
10868 1890 Rowland 0.000058 boy
10869 1890 Rueben 0.000058 boy
10870 1890 Saul 0.000058 boy
10871 1890 Shellie 0.000058 boy
10872 1890 Sumner 0.000058 boy
10873 1890 Thaddeus 0.000058 boy
10874 1890 Tobias 0.000058 boy
10875 1890 Urban 0.000058 boy
10876 1890 Vester 0.000058 boy
10877 1890 Vivian 0.000058 boy
10878 1890 Wash 0.000058 boy
10879 1890 Waymon 0.000058 boy
10880 1890 Wess 0.000058 boy
10881 1890 Wilton 0.000058 boy
10882 1890 Young 0.000058 boy
10883 1890 Zollie 0.000058 boy
10884 1890 Abb 0.000050 boy
10885 1890 Addie 0.000050 boy
10886 1890 Alpheus 0.000050 boy
10887 1890 Ammon 0.000050 boy
10888 1890 Annie 0.000050 boy
10889 1890 Ansel 0.000050 boy
10890 1890 Arden 0.000050 boy
10891 1890 Arley 0.000050 boy
10892 1890 Armand 0.000050 boy
10893 1890 Atlas 0.000050 boy
10894 1890 Augusta 0.000050 boy
10895 1890 Bascom 0.000050 boy
10896 1890 Bentley 0.000050 boy
10897 1890 Bertha 0.000050 boy
10898 1890 Bird 0.000050 boy
10899 1890 Birt 0.000050 boy
10900 1890 Brice 0.000050 boy
10901 1890 Burgess 0.000050 boy
10902 1890 Carlie 0.000050 boy
10903 1890 Carlisle 0.000050 boy
10904 1890 Charly 0.000050 boy
10905 1890 Chauncy 0.000050 boy
10906 1890 Claire 0.000050 boy
10907 1890 Claudius 0.000050 boy
10908 1890 Claus 0.000050 boy
10909 1890 Cleave 0.000050 boy
10910 1890 Colin 0.000050 boy
10911 1890 Colonel 0.000050 boy
10912 1890 Conard 0.000050 boy
10913 1890 Conway 0.000050 boy
10914 1890 Cornell 0.000050 boy
10915 1890 Curley 0.000050 boy
10916 1890 Davie 0.000050 boy
10917 1890 Deforest 0.000050 boy
10918 1890 Dempsey 0.000050 boy
10919 1890 Dolph 0.000050 boy
10920 1890 Earley 0.000050 boy
10921 1890 Elbridge 0.000050 boy
10922 1890 Elick 0.000050 boy
10923 1890 Eligah 0.000050 boy
10924 1890 Elroy 0.000050 boy
10925 1890 Elva 0.000050 boy
10926 1890 Esau 0.000050 boy
10927 1890 Ester 0.000050 boy
10928 1890 Esther 0.000050 boy
10929 1890 Ewell 0.000050 boy
10930 1890 Ewing 0.000050 boy
10931 1890 Fleming 0.000050 boy
10932 1890 Florian 0.000050 boy
10933 1890 Frazier 0.000050 boy
10934 1890 Harper 0.000050 boy
10935 1890 Harrie 0.000050 boy
10936 1890 Harvy 0.000050 boy
10937 1890 Hector 0.000050 boy
10938 1890 Hezekiah 0.000050 boy
10939 1890 Horatio 0.000050 boy
10940 1890 Hughie 0.000050 boy
10941 1890 Hyman 0.000050 boy
10942 1890 Ingram 0.000050 boy
10943 1890 Irvine 0.000050 boy
10944 1890 Jennie 0.000050 boy
10945 1890 Johny 0.000050 boy
10946 1890 Josephine 0.000050 boy
10947 1890 Josephus 0.000050 boy
10948 1890 Junious 0.000050 boy
10949 1890 Lafe 0.000050 boy
10950 1890 Lambert 0.000050 boy
10951 1890 Lawyer 0.000050 boy
10952 1890 Lenard 0.000050 boy
10953 1890 Lillie 0.000050 boy
10954 1890 Lue 0.000050 boy
10955 1890 Mac 0.000050 boy
10956 1890 Mae 0.000050 boy
10957 1890 Mart 0.000050 boy
10958 1890 Mell 0.000050 boy
10959 1890 Melville 0.000050 boy
10960 1890 Mildred 0.000050 boy
10961 1890 Monte 0.000050 boy
10962 1890 Murphy 0.000050 boy
10963 1890 Myles 0.000050 boy
10964 1890 Neely 0.000050 boy
10965 1890 Oakley 0.000050 boy
10966 1890 Olen 0.000050 boy
10967 1890 Olie 0.000050 boy
10968 1890 Orlando 0.000050 boy
10969 1890 Owens 0.000050 boy
10970 1890 Pearlie 0.000050 boy
10971 1890 Peyton 0.000050 boy
10972 1890 Pierre 0.000050 boy
10973 1890 Rance 0.000050 boy
10974 1890 Randall 0.000050 boy
10975 1890 Red 0.000050 boy
10976 1890 Rich 0.000050 boy
10977 1890 Rob 0.000050 boy
10978 1890 Robbie 0.000050 boy
10979 1890 Rollin 0.000050 boy
10980 1890 Salvatore 0.000050 boy
10981 1890 Sanders 0.000050 boy
10982 1890 Sie 0.000050 boy
10983 1890 Sigurd 0.000050 boy
10984 1890 Simeon 0.000050 boy
10985 1890 Talmage 0.000050 boy
10986 1890 Teddy 0.000050 boy
10987 1890 Thornton 0.000050 boy
10988 1890 Val 0.000050 boy
10989 1890 Verner 0.000050 boy
10990 1890 Webb 0.000050 boy
10991 1890 Willam 0.000050 boy
10992 1890 Winston 0.000050 boy
10993 1890 Wright 0.000050 boy
10994 1890 Add 0.000042 boy
10995 1890 Adolfo 0.000042 boy
10996 1890 Alberto 0.000042 boy
10997 1890 Alejandro 0.000042 boy
10998 1890 Alfonso 0.000042 boy
10999 1890 Alfredo 0.000042 boy
11000 1890 Almus 0.000042 boy
11001 1891 John 0.070292 boy
11002 1891 William 0.061901 boy
11003 1891 James 0.041328 boy
11004 1891 George 0.035974 boy
11005 1891 Charles 0.033311 boy
11006 1891 Frank 0.024270 boy
11007 1891 Joseph 0.023538 boy
11008 1891 Robert 0.020499 boy
11009 1891 Harry 0.019511 boy
11010 1891 Henry 0.018751 boy
11011 1891 Edward 0.018202 boy
11012 1891 Thomas 0.018138 boy
11013 1891 Walter 0.015265 boy
11014 1891 Arthur 0.013855 boy
11015 1891 Fred 0.012464 boy
11016 1891 Albert 0.011046 boy
11017 1891 Clarence 0.009225 boy
11018 1891 Roy 0.007669 boy
11019 1891 Louis 0.007193 boy
11020 1891 Samuel 0.006891 boy
11021 1891 Willie 0.006763 boy
11022 1891 Ernest 0.006534 boy
11023 1891 Charlie 0.006470 boy
11024 1891 Carl 0.006186 boy
11025 1891 Earl 0.006168 boy
11026 1891 David 0.006159 boy
11027 1891 Richard 0.005573 boy
11028 1891 Ralph 0.005372 boy
11029 1891 Joe 0.005344 boy
11030 1891 Raymond 0.005262 boy
11031 1891 Paul 0.005161 boy
11032 1891 Oscar 0.005042 boy
11033 1891 Andrew 0.004768 boy
11034 1891 Will 0.004759 boy
11035 1891 Jesse 0.004750 boy
11036 1891 Elmer 0.004649 boy
11037 1891 Daniel 0.004621 boy
11038 1891 Herbert 0.004585 boy
11039 1891 Alfred 0.004567 boy
11040 1891 Howard 0.004438 boy
11041 1891 Benjamin 0.004219 boy
11042 1891 Harold 0.003834 boy
11043 1891 Sam 0.003825 boy
11044 1891 Frederick 0.003770 boy
11045 1891 Peter 0.003624 boy
11046 1891 Lawrence 0.003560 boy
11047 1891 Herman 0.003505 boy
11048 1891 Eugene 0.003313 boy
11049 1891 Ray 0.003295 boy
11050 1891 Lewis 0.003267 boy
11051 1891 Leo 0.003230 boy
11052 1891 Lee 0.003130 boy
11053 1891 Floyd 0.003075 boy
11054 1891 Francis 0.003047 boy
11055 1891 Michael 0.003047 boy
11056 1891 Martin 0.003029 boy
11057 1891 Claude 0.002993 boy
11058 1891 Edwin 0.002993 boy
11059 1891 Clyde 0.002983 boy
11060 1891 Tom 0.002910 boy
11061 1891 Ben 0.002764 boy
11062 1891 Jack 0.002663 boy
11063 1891 Jim 0.002636 boy
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14350 1894 Cyrus 0.000216 boy
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14431 1894 Lionel 0.000160 boy
14432 1894 Nels 0.000160 boy
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14441 1894 Alphonse 0.000152 boy
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14445 1894 Gustav 0.000152 boy
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14450 1894 Judson 0.000152 boy
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14460 1894 Rupert 0.000152 boy
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14465 1894 Avery 0.000144 boy
14466 1894 Benjiman 0.000144 boy
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14469 1894 Dominick 0.000144 boy
14470 1894 Elvin 0.000144 boy
14471 1894 Essie 0.000144 boy
14472 1894 Houston 0.000144 boy
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14475 1894 Nat 0.000144 boy
14476 1894 Odie 0.000144 boy
14477 1894 Otho 0.000144 boy
14478 1894 Palmer 0.000144 boy
14479 1894 Wyatt 0.000144 boy
14480 1894 Arlie 0.000136 boy
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14486 1894 Dewey 0.000136 boy
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14488 1894 Fritz 0.000136 boy
14489 1894 Harlan 0.000136 boy
14490 1894 Lowell 0.000136 boy
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14495 1894 Oral 0.000136 boy
14496 1894 Ramon 0.000136 boy
14497 1894 Thad 0.000136 boy
14498 1894 Thurman 0.000136 boy
14499 1894 Tillman 0.000136 boy
14500 1894 Verner 0.000136 boy
14501 1894 Waldo 0.000136 boy
14502 1894 Albin 0.000128 boy
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14507 1894 Frederic 0.000128 boy
14508 1894 Henderson 0.000128 boy
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14510 1894 Jordan 0.000128 boy
14511 1894 Logan 0.000128 boy
14512 1894 Merrill 0.000128 boy
14513 1894 Micheal 0.000128 boy
14514 1894 Olaf 0.000128 boy
14515 1894 Pink 0.000128 boy
14516 1894 Rollie 0.000128 boy
14517 1894 Saul 0.000128 boy
14518 1894 Son 0.000128 boy
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14520 1894 Warner 0.000128 boy
14521 1894 Abel 0.000120 boy
14522 1894 Bessie 0.000120 boy
14523 1894 Buster 0.000120 boy
14524 1894 Elza 0.000120 boy
14525 1894 Emma 0.000120 boy
14526 1894 Ernst 0.000120 boy
14527 1894 Guss 0.000120 boy
14528 1894 Jimmy 0.000120 boy
14529 1894 Justin 0.000120 boy
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14531 1894 Lige 0.000120 boy
14532 1894 Margaret 0.000120 boy
14533 1894 Merton 0.000120 boy
14534 1894 Orrin 0.000120 boy
14535 1894 Ruth 0.000120 boy
14536 1894 Sterling 0.000120 boy
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14538 1894 Verne 0.000120 boy
14539 1894 Vernie 0.000120 boy
14540 1894 Vester 0.000120 boy
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14543 1894 Bennett 0.000112 boy
14544 1894 Bertha 0.000112 boy
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14546 1894 Burt 0.000112 boy
14547 1894 Coleman 0.000112 boy
14548 1894 Eldon 0.000112 boy
14549 1894 Ezekiel 0.000112 boy
14550 1894 Hallie 0.000112 boy
14551 1894 Jodie 0.000112 boy
14552 1894 Judge 0.000112 boy
14553 1894 Jules 0.000112 boy
14554 1894 Loy 0.000112 boy
14555 1894 Maynard 0.000112 boy
14556 1894 Mortimer 0.000112 boy
14557 1894 Obie 0.000112 boy
14558 1894 Orlando 0.000112 boy
14559 1894 Reid 0.000112 boy
14560 1894 Seth 0.000112 boy
14561 1894 Shelby 0.000112 boy
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14564 1894 Smith 0.000112 boy
14565 1894 Tommy 0.000112 boy
14566 1894 Wylie 0.000112 boy
14567 1894 Angus 0.000104 boy
14568 1894 Bernie 0.000104 boy
14569 1894 Billie 0.000104 boy
14570 1894 Boss 0.000104 boy
14571 1894 Dalton 0.000104 boy
14572 1894 Dana 0.000104 boy
14573 1894 Dayton 0.000104 boy
14574 1894 Dell 0.000104 boy
14575 1894 Eduardo 0.000104 boy
14576 1894 Florence 0.000104 boy
14577 1894 Ford 0.000104 boy
14578 1894 Howell 0.000104 boy
14579 1894 Jesus 0.000104 boy
14580 1894 Jonas 0.000104 boy
14581 1894 Jonnie 0.000104 boy
14582 1894 Josiah 0.000104 boy
14583 1894 Lem 0.000104 boy
14584 1894 Lenard 0.000104 boy
14585 1894 Maude 0.000104 boy
14586 1894 Miguel 0.000104 boy
14587 1894 Norris 0.000104 boy
14588 1894 Oswald 0.000104 boy
14589 1894 Prince 0.000104 boy
14590 1894 Ransom 0.000104 boy
14591 1894 Ruby 0.000104 boy
14592 1894 Steven 0.000104 boy
14593 1894 Toney 0.000104 boy
14594 1894 Alphonso 0.000096 boy
14595 1894 Audley 0.000096 boy
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15099 1895 Victor 0.001548 boy
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15211 1895 Karl 0.000529 boy
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15213 1895 Pete 0.000521 boy
15214 1895 Irvin 0.000513 boy
15215 1895 Jeff 0.000513 boy
15216 1895 Jimmie 0.000513 boy
15217 1895 Emanuel 0.000505 boy
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15219 1895 Monroe 0.000497 boy
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15230 1895 Jerome 0.000458 boy
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15232 1895 Laurence 0.000458 boy
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15260 1895 Ward 0.000379 boy
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15264 1895 Lynn 0.000363 boy
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15272 1895 Ulysses 0.000340 boy
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15275 1895 Emory 0.000332 boy
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15279 1895 Asa 0.000316 boy
15280 1895 Dewitt 0.000316 boy
15281 1895 Lyle 0.000316 boy
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15283 1895 Enoch 0.000308 boy
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15294 1895 Tommie 0.000300 boy
15295 1895 Aubrey 0.000292 boy
15296 1895 Ellsworth 0.000292 boy
15297 1895 Emery 0.000292 boy
15298 1895 Joel 0.000292 boy
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22354 1902 Tommy 0.000241 boy
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22357 1902 Omer 0.000234 boy
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22368 1902 Buster 0.000218 boy
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22378 1902 Sanford 0.000211 boy
22379 1902 Stewart 0.000211 boy
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22384 1902 Jonas 0.000203 boy
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22400 1902 Lyman 0.000196 boy
22401 1902 Maxwell 0.000196 boy
22402 1902 Merrill 0.000196 boy
22403 1902 Rolland 0.000196 boy
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22405 1902 Doyle 0.000188 boy
22406 1902 Hal 0.000188 boy
22407 1902 Hosea 0.000188 boy
22408 1902 Isaiah 0.000188 boy
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22428 1902 Elzie 0.000173 boy
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22437 1902 Rosevelt 0.000173 boy
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22440 1902 Chauncey 0.000166 boy
22441 1902 Cyrus 0.000166 boy
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22443 1902 Enoch 0.000166 boy
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22445 1902 Jean 0.000166 boy
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22447 1902 Lacy 0.000166 boy
22448 1902 Linwood 0.000166 boy
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22450 1902 Meyer 0.000166 boy
22451 1902 Noble 0.000166 boy
22452 1902 Noel 0.000166 boy
22453 1902 Norbert 0.000166 boy
22454 1902 Rubin 0.000166 boy
22455 1902 Shirley 0.000166 boy
22456 1902 Stuart 0.000166 boy
22457 1902 Thurman 0.000166 boy
22458 1902 Turner 0.000166 boy
22459 1902 Waldo 0.000166 boy
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22462 1902 Asa 0.000158 boy
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22464 1902 Elias 0.000158 boy
22465 1902 Elizabeth 0.000158 boy
22466 1902 Jesus 0.000158 boy
22467 1902 Jules 0.000158 boy
22468 1902 Lemuel 0.000158 boy
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22470 1902 Pablo 0.000158 boy
22471 1902 Prince 0.000158 boy
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22473 1902 Sammie 0.000158 boy
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22478 1902 Haywood 0.000151 boy
22479 1902 Hershel 0.000151 boy
22480 1902 Hobert 0.000151 boy
22481 1902 Junious 0.000151 boy
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22487 1902 Verne 0.000151 boy
22488 1902 Webster 0.000151 boy
22489 1902 Wilber 0.000151 boy
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22491 1902 Dominick 0.000143 boy
22492 1902 Ethel 0.000143 boy
22493 1902 Frances 0.000143 boy
22494 1902 Henderson 0.000143 boy
22495 1902 Ivory 0.000143 boy
22496 1902 Jewell 0.000143 boy
22497 1902 Lenard 0.000143 boy
22498 1902 Lionel 0.000143 boy
22499 1902 Lucien 0.000143 boy
22500 1902 Luis 0.000143 boy
22501 1902 Otha 0.000143 boy
22502 1902 Rodney 0.000143 boy
22503 1902 Sandy 0.000143 boy
22504 1902 Tomas 0.000143 boy
22505 1902 Walker 0.000143 boy
22506 1902 Wilburn 0.000143 boy
22507 1902 Alvie 0.000136 boy
22508 1902 Arch 0.000136 boy
22509 1902 Archibald 0.000136 boy
22510 1902 Avery 0.000136 boy
22511 1902 Clint 0.000136 boy
22512 1902 Emile 0.000136 boy
22513 1902 Frederic 0.000136 boy
22514 1902 Gary 0.000136 boy
22515 1902 Hobart 0.000136 boy
22516 1902 Jimmy 0.000136 boy
22517 1902 Judge 0.000136 boy
22518 1902 Milford 0.000136 boy
22519 1902 Terry 0.000136 boy
22520 1902 Tim 0.000136 boy
22521 1902 Alford 0.000128 boy
22522 1902 Bernie 0.000128 boy
22523 1902 Bertram 0.000128 boy
22524 1902 Buck 0.000128 boy
22525 1902 Carson 0.000128 boy
22526 1902 Coleman 0.000128 boy
22527 1902 Granville 0.000128 boy
22528 1902 Hans 0.000128 boy
22529 1902 Josh 0.000128 boy
22530 1902 Joshua 0.000128 boy
22531 1902 Lincoln 0.000128 boy
22532 1902 Merton 0.000128 boy
22533 1902 Ruth 0.000128 boy
22534 1902 Wilford 0.000128 boy
22535 1902 Winfred 0.000128 boy
22536 1902 Anna 0.000121 boy
22537 1902 Arlie 0.000121 boy
22538 1902 Casper 0.000121 boy
22539 1902 Cicero 0.000121 boy
22540 1902 Cleve 0.000121 boy
22541 1902 Cliff 0.000121 boy
22542 1902 Connie 0.000121 boy
22543 1902 Delmar 0.000121 boy
22544 1902 General 0.000121 boy
22545 1902 Issac 0.000121 boy
22546 1902 Kelly 0.000121 boy
22547 1902 Kermit 0.000121 boy
22548 1902 Marcellus 0.000121 boy
22549 1902 Ottis 0.000121 boy
22550 1902 Randall 0.000121 boy
22551 1902 Thad 0.000121 boy
22552 1902 Thaddeus 0.000121 boy
22553 1902 Travis 0.000121 boy
22554 1902 Unknown 0.000121 boy
22555 1902 Vito 0.000121 boy
22556 1902 Alfredo 0.000113 boy
22557 1902 Angus 0.000113 boy
22558 1902 Artie 0.000113 boy
22559 1902 Berry 0.000113 boy
22560 1902 Bruno 0.000113 boy
22561 1902 Buddy 0.000113 boy
22562 1902 Clare 0.000113 boy
22563 1902 Evans 0.000113 boy
22564 1902 Felipe 0.000113 boy
22565 1902 Gust 0.000113 boy
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22567 1902 Hazel 0.000113 boy
22568 1902 Hunter 0.000113 boy
22569 1902 Lamar 0.000113 boy
22570 1902 Lemon 0.000113 boy
22571 1902 Lonzo 0.000113 boy
22572 1902 Lucious 0.000113 boy
22573 1902 Marie 0.000113 boy
22574 1902 Marlin 0.000113 boy
22575 1902 Melville 0.000113 boy
22576 1902 Micheal 0.000113 boy
22577 1902 Morton 0.000113 boy
22578 1902 Nolan 0.000113 boy
22579 1902 Ole 0.000113 boy
22580 1902 Pasquale 0.000113 boy
22581 1902 Pierce 0.000113 boy
22582 1902 Raphael 0.000113 boy
22583 1902 Addison 0.000105 boy
22584 1902 Alpha 0.000105 boy
22585 1902 Alphonso 0.000105 boy
22586 1902 Ashley 0.000105 boy
22587 1902 Audrey 0.000105 boy
22588 1902 Augustine 0.000105 boy
22589 1902 Bernice 0.000105 boy
22590 1902 Billie 0.000105 boy
22591 1902 Brady 0.000105 boy
22592 1902 Buford 0.000105 boy
22593 1902 Denver 0.000105 boy
22594 1902 Dillard 0.000105 boy
22595 1902 Edison 0.000105 boy
22596 1902 Eldred 0.000105 boy
22597 1902 Eligah 0.000105 boy
22598 1902 Elsie 0.000105 boy
22599 1902 Golden 0.000105 boy
22600 1902 Hardy 0.000105 boy
22601 1902 Hyman 0.000105 boy
22602 1902 Jason 0.000105 boy
22603 1902 Junior 0.000105 boy
22604 1902 Merlin 0.000105 boy
22605 1902 Merritt 0.000105 boy
22606 1902 Mildred 0.000105 boy
22607 1902 Nels 0.000105 boy
22608 1902 Norris 0.000105 boy
22609 1902 Ransom 0.000105 boy
22610 1902 Rollin 0.000105 boy
22611 1902 Ruby 0.000105 boy
22612 1902 Sampson 0.000105 boy
22613 1902 Washington 0.000105 boy
22614 1902 Watson 0.000105 boy
22615 1902 Albin 0.000098 boy
22616 1902 Benny 0.000098 boy
22617 1902 Dalton 0.000098 boy
22618 1902 Dell 0.000098 boy
22619 1902 Elmore 0.000098 boy
22620 1902 Emmet 0.000098 boy
22621 1902 Emmitt 0.000098 boy
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22623 1902 Fritz 0.000098 boy
22624 1902 Gustav 0.000098 boy
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22626 1902 Harmon 0.000098 boy
22627 1902 Jewel 0.000098 boy
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22629 1902 Lafayette 0.000098 boy
22630 1902 Leander 0.000098 boy
22631 1902 Lem 0.000098 boy
22632 1902 Lillian 0.000098 boy
22633 1902 Lindsey 0.000098 boy
22634 1902 Logan 0.000098 boy
22635 1902 Loran 0.000098 boy
22636 1902 Loy 0.000098 boy
22637 1902 Lucian 0.000098 boy
22638 1902 Ludwig 0.000098 boy
22639 1902 Ocie 0.000098 boy
22640 1902 Olen 0.000098 boy
22641 1902 Orrie 0.000098 boy
22642 1902 Pink 0.000098 boy
22643 1902 Romeo 0.000098 boy
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22645 1902 Son 0.000098 boy
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22647 1902 Urban 0.000098 boy
22648 1902 Vaughn 0.000098 boy
22649 1902 Vernie 0.000098 boy
22650 1902 Walton 0.000098 boy
22651 1902 Adolphus 0.000090 boy
22652 1902 Alice 0.000090 boy
22653 1902 Alvah 0.000090 boy
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22655 1902 Burt 0.000090 boy
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22659 1902 Cloyd 0.000090 boy
22660 1902 Delmer 0.000090 boy
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22663 1902 Fannie 0.000090 boy
22664 1902 Furman 0.000090 boy
22665 1902 Garrett 0.000090 boy
22666 1902 Gladys 0.000090 boy
22667 1902 Hayes 0.000090 boy
22668 1902 Hezekiah 0.000090 boy
22669 1902 Hoyt 0.000090 boy
22670 1902 Jonnie 0.000090 boy
22671 1902 Judson 0.000090 boy
22672 1902 Laverne 0.000090 boy
22673 1902 Mabel 0.000090 boy
22674 1902 Miller 0.000090 boy
22675 1902 Murry 0.000090 boy
22676 1902 Oakley 0.000090 boy
22677 1902 Odis 0.000090 boy
22678 1902 Olaf 0.000090 boy
22679 1902 Reese 0.000090 boy
22680 1902 Rowland 0.000090 boy
22681 1902 Theadore 0.000090 boy
22682 1902 Theron 0.000090 boy
22683 1902 Valentine 0.000090 boy
22684 1902 West 0.000090 boy
22685 1902 Wm 0.000090 boy
22686 1902 Zeno 0.000090 boy
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22688 1902 Annie 0.000083 boy
22689 1902 Arvel 0.000083 boy
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22691 1902 Bertha 0.000083 boy
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22695 1902 Caleb 0.000083 boy
22696 1902 Carter 0.000083 boy
22697 1902 Crawford 0.000083 boy
22698 1902 Darrell 0.000083 boy
22699 1902 Dorsey 0.000083 boy
22700 1902 Duncan 0.000083 boy
22701 1902 Edna 0.000083 boy
22702 1902 Ellie 0.000083 boy
22703 1902 Elza 0.000083 boy
22704 1902 Emma 0.000083 boy
22705 1902 Ewing 0.000083 boy
22706 1902 Fernando 0.000083 boy
22707 1902 Gail 0.000083 boy
22708 1902 Hallie 0.000083 boy
22709 1902 Hamp 0.000083 boy
22710 1902 Henery 0.000083 boy
22711 1902 Hilton 0.000083 boy
22712 1902 Irene 0.000083 boy
22713 1902 Kelley 0.000083 boy
22714 1902 Leopold 0.000083 boy
22715 1902 Loyal 0.000083 boy
22716 1902 Mahlon 0.000083 boy
22717 1902 Mattie 0.000083 boy
22718 1902 Mervin 0.000083 boy
22719 1902 Minnie 0.000083 boy
22720 1902 Obie 0.000083 boy
22721 1902 Oral 0.000083 boy
22722 1902 Oran 0.000083 boy
22723 1902 Orin 0.000083 boy
22724 1902 Oswald 0.000083 boy
22725 1902 Palmer 0.000083 boy
22726 1902 Pierre 0.000083 boy
22727 1902 Raymon 0.000083 boy
22728 1902 Rene 0.000083 boy
22729 1902 Rocco 0.000083 boy
22730 1902 Rollie 0.000083 boy
22731 1902 Salvador 0.000083 boy
22732 1902 Shelby 0.000083 boy
22733 1902 Sim 0.000083 boy
22734 1902 Talmadge 0.000083 boy
22735 1902 Teddy 0.000083 boy
22736 1902 Tillman 0.000083 boy
22737 1902 Tomie 0.000083 boy
22738 1902 Viola 0.000083 boy
22739 1902 Wash 0.000083 boy
22740 1902 Williams 0.000083 boy
22741 1902 Winston 0.000083 boy
22742 1902 Young 0.000083 boy
22743 1902 Zack 0.000083 boy
22744 1902 Adelbert 0.000075 boy
22745 1902 Alberto 0.000075 boy
22746 1902 Alden 0.000075 boy
22747 1902 Antone 0.000075 boy
22748 1902 Augusta 0.000075 boy
22749 1902 Bailey 0.000075 boy
22750 1902 Benjiman 0.000075 boy
22751 1902 Benton 0.000075 boy
22752 1902 Bertrand 0.000075 boy
22753 1902 Blair 0.000075 boy
22754 1902 Bonnie 0.000075 boy
22755 1902 Chesley 0.000075 boy
22756 1902 Clarance 0.000075 boy
22757 1902 Cletus 0.000075 boy
22758 1902 Earlie 0.000075 boy
22759 1902 Elgin 0.000075 boy
22760 1902 Ennis 0.000075 boy
22761 1902 Ephraim 0.000075 boy
22762 1902 Evert 0.000075 boy
22763 1902 Ewald 0.000075 boy
22764 1902 Felton 0.000075 boy
22765 1902 Ferris 0.000075 boy
22766 1902 Gaylord 0.000075 boy
22767 1902 Gertrude 0.000075 boy
22768 1902 Gregory 0.000075 boy
22769 1902 Guss 0.000075 boy
22770 1902 Hosie 0.000075 boy
22771 1902 Hudson 0.000075 boy
22772 1902 Ivy 0.000075 boy
22773 1902 Jones 0.000075 boy
22774 1902 Kirk 0.000075 boy
22775 1902 Lew 0.000075 boy
22776 1902 Mace 0.000075 boy
22777 1902 Mario 0.000075 boy
22778 1902 May 0.000075 boy
22779 1902 Odie 0.000075 boy
22780 1902 Orlando 0.000075 boy
22781 1902 Patsy 0.000075 boy
22782 1902 Rafael 0.000075 boy
22783 1902 Richmond 0.000075 boy
22784 1902 Rudy 0.000075 boy
22785 1902 Samual 0.000075 boy
22786 1902 Santos 0.000075 boy
22787 1902 Seth 0.000075 boy
22788 1902 Sheldon 0.000075 boy
22789 1902 Simeon 0.000075 boy
22790 1902 Warner 0.000075 boy
22791 1902 Weldon 0.000075 boy
22792 1902 Wilton 0.000075 boy
22793 1902 Wylie 0.000075 boy
22794 1902 Abram 0.000068 boy
22795 1902 Alec 0.000068 boy
22796 1902 Allison 0.000068 boy
22797 1902 Antoine 0.000068 boy
22798 1902 Art 0.000068 boy
22799 1902 Baxter 0.000068 boy
22800 1902 Bertie 0.000068 boy
22801 1902 Bishop 0.000068 boy
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22804 1902 Burl 0.000068 boy
22805 1902 Carrol 0.000068 boy
22806 1902 Clarnce 0.000068 boy
22807 1902 Dana 0.000068 boy
22808 1902 Danny 0.000068 boy
22809 1902 Dexter 0.000068 boy
22810 1902 Domingo 0.000068 boy
22811 1902 Durward 0.000068 boy
22812 1902 Einar 0.000068 boy
22813 1902 Essie 0.000068 boy
22814 1902 Ewell 0.000068 boy
22815 1902 Gale 0.000068 boy
22816 1902 Garvin 0.000068 boy
22817 1902 Gaston 0.000068 boy
22818 1902 Giles 0.000068 boy
22819 1902 Gottlieb 0.000068 boy
22820 1902 Gussie 0.000068 boy
22821 1902 Haskell 0.000068 boy
22822 1902 Hermon 0.000068 boy
22823 1902 Howell 0.000068 boy
22824 1902 Hurley 0.000068 boy
22825 1902 Isidore 0.000068 boy
22826 1902 Jennings 0.000068 boy
22827 1902 Joy 0.000068 boy
22828 1902 Jule 0.000068 boy
22829 1902 Justin 0.000068 boy
22830 1902 Lambert 0.000068 boy
22831 1902 Lawton 0.000068 boy
22832 1902 Len 0.000068 boy
22833 1902 Levy 0.000068 boy
22834 1902 Lige 0.000068 boy
22835 1902 Lillie 0.000068 boy
22836 1902 Lindsay 0.000068 boy
22837 1902 Louise 0.000068 boy
22838 1902 Love 0.000068 boy
22839 1902 Mae 0.000068 boy
22840 1902 Mat 0.000068 boy
22841 1902 Meredith 0.000068 boy
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22843 1902 Myles 0.000068 boy
22844 1902 Myrtle 0.000068 boy
22845 1902 Newt 0.000068 boy
22846 1902 Olan 0.000068 boy
22847 1902 Ossie 0.000068 boy
22848 1902 Pleas 0.000068 boy
22849 1902 Quincy 0.000068 boy
22850 1902 Rueben 0.000068 boy
22851 1902 Rupert 0.000068 boy
22852 1902 Santiago 0.000068 boy
22853 1902 Seymour 0.000068 boy
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22855 1902 Tobe 0.000068 boy
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22857 1902 Vicente 0.000068 boy
22858 1902 Virgle 0.000068 boy
22859 1902 Vivian 0.000068 boy
22860 1902 Wardell 0.000068 boy
22861 1902 Wheeler 0.000068 boy
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22864 1902 Agustin 0.000060 boy
22865 1902 Alma 0.000060 boy
22866 1902 Alois 0.000060 boy
22867 1902 Ashton 0.000060 boy
22868 1902 Axel 0.000060 boy
22869 1902 Bart 0.000060 boy
22870 1902 Beatrice 0.000060 boy
22871 1902 Beryl 0.000060 boy
22872 1902 Buddie 0.000060 boy
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22875 1902 Clara 0.000060 boy
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22877 1902 Dolphus 0.000060 boy
22878 1902 Eldridge 0.000060 boy
22879 1902 Elex 0.000060 boy
22880 1902 Ernie 0.000060 boy
22881 1902 Eva 0.000060 boy
22882 1902 Ezekiel 0.000060 boy
22883 1902 Geo 0.000060 boy
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22886 1902 Harvie 0.000060 boy
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22888 1902 Hilary 0.000060 boy
22889 1902 Hilliard 0.000060 boy
22890 1902 Hughie 0.000060 boy
22891 1902 Ignatius 0.000060 boy
22892 1902 Julia 0.000060 boy
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22895 1902 Lonie 0.000060 boy
22896 1902 Lorenza 0.000060 boy
22897 1902 Lupe 0.000060 boy
22898 1902 Mac 0.000060 boy
22899 1902 Malachi 0.000060 boy
22900 1902 Mannie 0.000060 boy
22901 1902 Martha 0.000060 boy
22902 1902 Maxie 0.000060 boy
22903 1902 Nathen 0.000060 boy
22904 1902 Nora 0.000060 boy
22905 1902 Norval 0.000060 boy
22906 1902 Odus 0.000060 boy
22907 1902 Okey 0.000060 boy
22908 1902 Omar 0.000060 boy
22909 1902 Oneal 0.000060 boy
22910 1902 Opal 0.000060 boy
22911 1902 Ozie 0.000060 boy
22912 1902 Parker 0.000060 boy
22913 1902 Pearlie 0.000060 boy
22914 1902 Percival 0.000060 boy
22915 1902 Robbie 0.000060 boy
22916 1902 Roderick 0.000060 boy
22917 1902 Rolla 0.000060 boy
22918 1902 Shelly 0.000060 boy
22919 1902 Spurgeon 0.000060 boy
22920 1902 Thornton 0.000060 boy
22921 1902 Thurston 0.000060 boy
22922 1902 Tollie 0.000060 boy
22923 1902 Toney 0.000060 boy
22924 1902 Verna 0.000060 boy
22925 1902 Verner 0.000060 boy
22926 1902 Victoriano 0.000060 boy
22927 1902 Westley 0.000060 boy
22928 1902 Weston 0.000060 boy
22929 1902 Wilfrid 0.000060 boy
22930 1902 Wilhelm 0.000060 boy
22931 1902 Willam 0.000060 boy
22932 1902 Zeb 0.000060 boy
22933 1902 Alfonzo 0.000053 boy
22934 1902 Alonza 0.000053 boy
22935 1902 Arden 0.000053 boy
22936 1902 Arvid 0.000053 boy
22937 1902 Audley 0.000053 boy
22938 1902 Auther 0.000053 boy
22939 1902 Authur 0.000053 boy
22940 1902 Bartholomew 0.000053 boy
22941 1902 Barton 0.000053 boy
22942 1902 Belton 0.000053 boy
22943 1902 Bessie 0.000053 boy
22944 1902 Blanche 0.000053 boy
22945 1902 Brown 0.000053 boy
22946 1902 Carmine 0.000053 boy
22947 1902 Claire 0.000053 boy
22948 1902 Collie 0.000053 boy
22949 1902 Collins 0.000053 boy
22950 1902 Conway 0.000053 boy
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22955 1902 Duke 0.000053 boy
22956 1902 Edmon 0.000053 boy
22957 1902 Ella 0.000053 boy
22958 1902 Elwin 0.000053 boy
22959 1902 Emilio 0.000053 boy
22960 1902 Emmit 0.000053 boy
22961 1902 Enos 0.000053 boy
22962 1902 Enrique 0.000053 boy
22963 1902 Ephriam 0.000053 boy
22964 1902 Esau 0.000053 boy
22965 1902 Estel 0.000053 boy
22966 1902 Eunice 0.000053 boy
22967 1902 Farris 0.000053 boy
22968 1902 Florian 0.000053 boy
22969 1902 Fulton 0.000053 boy
22970 1902 Georgie 0.000053 boy
22971 1902 Guadalupe 0.000053 boy
22972 1902 Gurney 0.000053 boy
22973 1902 Gustaf 0.000053 boy
22974 1902 Hall 0.000053 boy
22975 1902 Heyward 0.000053 boy
22976 1902 Hjalmer 0.000053 boy
22977 1902 Ivor 0.000053 boy
22978 1902 Jarvis 0.000053 boy
22979 1902 Joesph 0.000053 boy
22980 1902 Johney 0.000053 boy
22981 1902 Johny 0.000053 boy
22982 1902 Josephine 0.000053 boy
22983 1902 Kyle 0.000053 boy
22984 1902 Linnie 0.000053 boy
22985 1902 Linton 0.000053 boy
22986 1902 Lois 0.000053 boy
22987 1902 Lola 0.000053 boy
22988 1902 Lula 0.000053 boy
22989 1902 Madison 0.000053 boy
22990 1902 Manford 0.000053 boy
22991 1902 Mart 0.000053 boy
22992 1902 Mickey 0.000053 boy
22993 1902 Mitchel 0.000053 boy
22994 1902 Mortimer 0.000053 boy
22995 1902 Murphy 0.000053 boy
22996 1902 Myrl 0.000053 boy
22997 1902 Nat 0.000053 boy
22998 1902 Olie 0.000053 boy
22999 1902 Orlo 0.000053 boy
23000 1902 Orvil 0.000053 boy
23001 1903 John 0.058833 boy
23002 1903 William 0.048797 boy
23003 1903 James 0.042371 boy
23004 1903 George 0.030626 boy
23005 1903 Charles 0.024835 boy
23006 1903 Joseph 0.024132 boy
23007 1903 Robert 0.023536 boy
23008 1903 Frank 0.020443 boy
23009 1903 Edward 0.017536 boy
23010 1903 Thomas 0.015170 boy
23011 1903 Henry 0.014869 boy
23012 1903 Walter 0.014227 boy
23013 1903 Harry 0.012735 boy
23014 1903 Willie 0.011242 boy
23015 1903 Arthur 0.011095 boy
23016 1903 Albert 0.010338 boy
23017 1903 Clarence 0.009750 boy
23018 1903 Fred 0.009309 boy
23019 1903 Paul 0.008358 boy
23020 1903 Harold 0.008227 boy
23021 1903 Raymond 0.008126 boy
23022 1903 Roy 0.007539 boy
23023 1903 Carl 0.007036 boy
23024 1903 Joe 0.006912 boy
23025 1903 Louis 0.006874 boy
23026 1903 Richard 0.006680 boy
23027 1903 Earl 0.006472 boy
23028 1903 Jack 0.006425 boy
23029 1903 Ralph 0.006240 boy
23030 1903 Ernest 0.005907 boy
23031 1903 Samuel 0.005729 boy
23032 1903 Charlie 0.005714 boy
23033 1903 David 0.005536 boy
23034 1903 Herbert 0.005165 boy
23035 1903 Francis 0.005142 boy
23036 1903 Theodore 0.005126 boy
23037 1903 Leo 0.004925 boy
23038 1903 Howard 0.004918 boy
23039 1903 Alfred 0.004307 boy
23040 1903 Elmer 0.004299 boy
23041 1903 Sam 0.004268 boy
23042 1903 Andrew 0.004260 boy
23043 1903 Lawrence 0.004144 boy
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23734 1903 Alfonzo 0.000077 boy
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23749 1903 Ezekiel 0.000077 boy
23750 1903 Felton 0.000077 boy
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24460 1904 Jonas 0.000159 boy
24461 1904 Lacy 0.000159 boy
24462 1904 Noel 0.000159 boy
24463 1904 Pablo 0.000159 boy
24464 1904 Rafael 0.000159 boy
24465 1904 Warner 0.000159 boy
24466 1904 Alphonso 0.000152 boy
24467 1904 Bertram 0.000152 boy
24468 1904 Billy 0.000152 boy
24469 1904 Dee 0.000152 boy
24470 1904 Dorsey 0.000152 boy
24471 1904 Emmitt 0.000152 boy
24472 1904 Hal 0.000152 boy
24473 1904 Jefferson 0.000152 boy
24474 1904 Judge 0.000152 boy
24475 1904 Milo 0.000152 boy
24476 1904 Noble 0.000152 boy
24477 1904 Phil 0.000152 boy
24478 1904 Ruby 0.000152 boy
24479 1904 Tomas 0.000152 boy
24480 1904 Wilber 0.000152 boy
24481 1904 Winfield 0.000152 boy
24482 1904 Hershel 0.000144 boy
24483 1904 Lionel 0.000144 boy
24484 1904 Margaret 0.000144 boy
24485 1904 Mason 0.000144 boy
24486 1904 Omer 0.000144 boy
24487 1904 Pasquale 0.000144 boy
24488 1904 Raleigh 0.000144 boy
24489 1904 Rupert 0.000144 boy
24490 1904 Sandy 0.000144 boy
24491 1904 Abner 0.000137 boy
24492 1904 Alfredo 0.000137 boy
24493 1904 Antone 0.000137 boy
24494 1904 Aron 0.000137 boy
24495 1904 Billie 0.000137 boy
24496 1904 Delmar 0.000137 boy
24497 1904 Elmore 0.000137 boy
24498 1904 Emmet 0.000137 boy
24499 1904 Fay 0.000137 boy
24500 1904 Issac 0.000137 boy
24501 1904 Johnson 0.000137 boy
24502 1904 Joshua 0.000137 boy
24503 1904 Kermit 0.000137 boy
24504 1904 Linwood 0.000137 boy
24505 1904 Morton 0.000137 boy
24506 1904 Newton 0.000137 boy
24507 1904 Olin 0.000137 boy
24508 1904 Otha 0.000137 boy
24509 1904 Palmer 0.000137 boy
24510 1904 Thaddeus 0.000137 boy
24511 1904 Travis 0.000137 boy
24512 1904 Vance 0.000137 boy
24513 1904 Vivian 0.000137 boy
24514 1904 Washington 0.000137 boy
24515 1904 Adelbert 0.000130 boy
24516 1904 Alden 0.000130 boy
24517 1904 Artie 0.000130 boy
24518 1904 Avery 0.000130 boy
24519 1904 Benedict 0.000130 boy
24520 1904 Benny 0.000130 boy
24521 1904 Bruno 0.000130 boy
24522 1904 Felton 0.000130 boy
24523 1904 Gerard 0.000130 boy
24524 1904 Harris 0.000130 boy
24525 1904 Henderson 0.000130 boy
24526 1904 Ivory 0.000130 boy
24527 1904 Josh 0.000130 boy
24528 1904 Judson 0.000130 boy
24529 1904 Miguel 0.000130 boy
24530 1904 Morgan 0.000130 boy
24531 1904 Nolan 0.000130 boy
24532 1904 Olen 0.000130 boy
24533 1904 Randall 0.000130 boy
24534 1904 Sim 0.000130 boy
24535 1904 Terry 0.000130 boy
24536 1904 Valentine 0.000130 boy
24537 1904 Wilford 0.000130 boy
24538 1904 Abram 0.000123 boy
24539 1904 Adolphus 0.000123 boy
24540 1904 Angus 0.000123 boy
24541 1904 Bonnie 0.000123 boy
24542 1904 Carey 0.000123 boy
24543 1904 Clem 0.000123 boy
24544 1904 Dorothy 0.000123 boy
24545 1904 Ethel 0.000123 boy
24546 1904 Golden 0.000123 boy
24547 1904 Hans 0.000123 boy
24548 1904 Hector 0.000123 boy
24549 1904 Henery 0.000123 boy
24550 1904 Hunter 0.000123 boy
24551 1904 Keith 0.000123 boy
24552 1904 Lucious 0.000123 boy
24553 1904 Maxwell 0.000123 boy
24554 1904 Obie 0.000123 boy
24555 1904 Odie 0.000123 boy
24556 1904 Ottis 0.000123 boy
24557 1904 Patsy 0.000123 boy
24558 1904 Reed 0.000123 boy
24559 1904 Rene 0.000123 boy
24560 1904 Santiago 0.000123 boy
24561 1904 Smith 0.000123 boy
24562 1904 Teddy 0.000123 boy
24563 1904 Vaughn 0.000123 boy
24564 1904 Walker 0.000123 boy
24565 1904 Wilburn 0.000123 boy
24566 1904 Anna 0.000116 boy
24567 1904 Archibald 0.000116 boy
24568 1904 Bernice 0.000116 boy
24569 1904 Berry 0.000116 boy
24570 1904 Bertha 0.000116 boy
24571 1904 Brady 0.000116 boy
24572 1904 Duncan 0.000116 boy
24573 1904 Fernando 0.000116 boy
24574 1904 Frederic 0.000116 boy
24575 1904 Gregory 0.000116 boy
24576 1904 Guadalupe 0.000116 boy
24577 1904 Gustav 0.000116 boy
24578 1904 Isidore 0.000116 boy
24579 1904 Justin 0.000116 boy
24580 1904 Lemuel 0.000116 boy
24581 1904 Mac 0.000116 boy
24582 1904 Manley 0.000116 boy
24583 1904 Marlin 0.000116 boy
24584 1904 Merritt 0.000116 boy
24585 1904 Rolland 0.000116 boy
24586 1904 Tillman 0.000116 boy
24587 1904 Andres 0.000108 boy
24588 1904 Bradley 0.000108 boy
24589 1904 Caesar 0.000108 boy
24590 1904 Cletus 0.000108 boy
24591 1904 Crawford 0.000108 boy
24592 1904 Eric 0.000108 boy
24593 1904 Garnet 0.000108 boy
24594 1904 Geo 0.000108 boy
24595 1904 Giles 0.000108 boy
24596 1904 Helen 0.000108 boy
24597 1904 Hobert 0.000108 boy
24598 1904 Hosea 0.000108 boy
24599 1904 Jonnie 0.000108 boy
24600 1904 Lige 0.000108 boy
24601 1904 Lincoln 0.000108 boy
24602 1904 Lon 0.000108 boy
24603 1904 Lonzo 0.000108 boy
24604 1904 Maxie 0.000108 boy
24605 1904 Ocie 0.000108 boy
24606 1904 Rogers 0.000108 boy
24607 1904 Rubin 0.000108 boy
24608 1904 Ruth 0.000108 boy
24609 1904 Theadore 0.000108 boy
24610 1904 Williams 0.000108 boy
24611 1904 Alec 0.000101 boy
24612 1904 Allie 0.000101 boy
24613 1904 Alvie 0.000101 boy
24614 1904 Bryan 0.000101 boy
24615 1904 Bryant 0.000101 boy
24616 1904 Carmine 0.000101 boy
24617 1904 Casper 0.000101 boy
24618 1904 Cleve 0.000101 boy
24619 1904 Denver 0.000101 boy
24620 1904 Edison 0.000101 boy
24621 1904 Emilio 0.000101 boy
24622 1904 Everette 0.000101 boy
24623 1904 Evert 0.000101 boy
24624 1904 Florence 0.000101 boy
24625 1904 Gabriel 0.000101 boy
24626 1904 Gaston 0.000101 boy
24627 1904 Hardy 0.000101 boy
24628 1904 Hobart 0.000101 boy
24629 1904 Hoyt 0.000101 boy
24630 1904 Ignacio 0.000101 boy
24631 1904 Jonathan 0.000101 boy
24632 1904 Jules 0.000101 boy
24633 1904 Laverne 0.000101 boy
24634 1904 Marcellus 0.000101 boy
24635 1904 Merlin 0.000101 boy
24636 1904 Moe 0.000101 boy
24637 1904 Norbert 0.000101 boy
24638 1904 Odis 0.000101 boy
24639 1904 Romeo 0.000101 boy
24640 1904 Seth 0.000101 boy
24641 1904 Theron 0.000101 boy
24642 1904 Tim 0.000101 boy
24643 1904 Urban 0.000101 boy
24644 1904 Webster 0.000101 boy
24645 1904 Weldon 0.000101 boy
24646 1904 Winston 0.000101 boy
24647 1904 Bee 0.000094 boy
24648 1904 Bernie 0.000094 boy
24649 1904 Burt 0.000094 boy
24650 1904 Clara 0.000094 boy
24651 1904 Damon 0.000094 boy
24652 1904 Doyle 0.000094 boy
24653 1904 Edna 0.000094 boy
24654 1904 Elizabeth 0.000094 boy
24655 1904 Elzie 0.000094 boy
24656 1904 Enos 0.000094 boy
24657 1904 Ernie 0.000094 boy
24658 1904 Estel 0.000094 boy
24659 1904 Fate 0.000094 boy
24660 1904 Garrett 0.000094 boy
24661 1904 Green 0.000094 boy
24662 1904 Guss 0.000094 boy
24663 1904 Hallie 0.000094 boy
24664 1904 Hezekiah 0.000094 boy
24665 1904 Jones 0.000094 boy
24666 1904 Kelly 0.000094 boy
24667 1904 Lafayette 0.000094 boy
24668 1904 Lawton 0.000094 boy
24669 1904 Lindsay 0.000094 boy
24670 1904 Logan 0.000094 boy
24671 1904 Lucian 0.000094 boy
24672 1904 Mario 0.000094 boy
24673 1904 Mildred 0.000094 boy
24674 1904 Mortimer 0.000094 boy
24675 1904 Oral 0.000094 boy
24676 1904 Rodney 0.000094 boy
24677 1904 Romie 0.000094 boy
24678 1904 Sammy 0.000094 boy
24679 1904 Sampson 0.000094 boy
24680 1904 Sonny 0.000094 boy
24681 1904 Turner 0.000094 boy
24682 1904 Vester 0.000094 boy
24683 1904 Watson 0.000094 boy
24684 1904 West 0.000094 boy
24685 1904 Winfred 0.000094 boy
24686 1904 Alberto 0.000087 boy
24687 1904 Annie 0.000087 boy
24688 1904 Antoine 0.000087 boy
24689 1904 Blaine 0.000087 boy
24690 1904 Carleton 0.000087 boy
24691 1904 Carmen 0.000087 boy
24692 1904 Cary 0.000087 boy
24693 1904 Clare 0.000087 boy
24694 1904 Clint 0.000087 boy
24695 1904 Clovis 0.000087 boy
24696 1904 Duane 0.000087 boy
24697 1904 Elsie 0.000087 boy
24698 1904 Elza 0.000087 boy
24699 1904 Emma 0.000087 boy
24700 1904 Evan 0.000087 boy
24701 1904 Evans 0.000087 boy
24702 1904 Gail 0.000087 boy
24703 1904 Gary 0.000087 boy
24704 1904 Godfrey 0.000087 boy
24705 1904 Graham 0.000087 boy
24706 1904 Isom 0.000087 boy
24707 1904 Ivy 0.000087 boy
24708 1904 Junior 0.000087 boy
24709 1904 Lenard 0.000087 boy
24710 1904 Luster 0.000087 boy
24711 1904 Mabel 0.000087 boy
24712 1904 Melville 0.000087 boy
24713 1904 Miller 0.000087 boy
24714 1904 Orin 0.000087 boy
24715 1904 Rollin 0.000087 boy
24716 1904 Seymour 0.000087 boy
24717 1904 Shelby 0.000087 boy
24718 1904 Sheldon 0.000087 boy
24719 1904 Son 0.000087 boy
24720 1904 Thad 0.000087 boy
24721 1904 Verner 0.000087 boy
24722 1904 Wash 0.000087 boy
24723 1904 Wm 0.000087 boy
24724 1904 Alois 0.000079 boy
24725 1904 Alvis 0.000079 boy
24726 1904 Arch 0.000079 boy
24727 1904 Ashley 0.000079 boy
24728 1904 Beverly 0.000079 boy
24729 1904 Brooks 0.000079 boy
24730 1904 Buddie 0.000079 boy
24731 1904 Buddy 0.000079 boy
24732 1904 Collins 0.000079 boy
24733 1904 Connie 0.000079 boy
24734 1904 Dana 0.000079 boy
24735 1904 Delmer 0.000079 boy
24736 1904 Domingo 0.000079 boy
24737 1904 Eino 0.000079 boy
24738 1904 Frazier 0.000079 boy
24739 1904 Gladys 0.000079 boy
24740 1904 Hayward 0.000079 boy
24741 1904 Hurley 0.000079 boy
24742 1904 Jason 0.000079 boy
24743 1904 Katherine 0.000079 boy
24744 1904 Lillie 0.000079 boy
24745 1904 Llewellyn 0.000079 boy
24746 1904 Lonie 0.000079 boy
24747 1904 Madison 0.000079 boy
24748 1904 Mahlon 0.000079 boy
24749 1904 Murphy 0.000079 boy
24750 1904 Napoleon 0.000079 boy
24751 1904 Pink 0.000079 boy
24752 1904 Rayfield 0.000079 boy
24753 1904 Reese 0.000079 boy
24754 1904 Rocco 0.000079 boy
24755 1904 Salvador 0.000079 boy
24756 1904 Shelton 0.000079 boy
24757 1904 Vernie 0.000079 boy
24758 1904 Vito 0.000079 boy
24759 1904 Zeb 0.000079 boy
24760 1904 Abel 0.000072 boy
24761 1904 Alf 0.000072 boy
24762 1904 Alford 0.000072 boy
24763 1904 Author 0.000072 boy
24764 1904 Bailey 0.000072 boy
24765 1904 Benjiman 0.000072 boy
24766 1904 Bertrand 0.000072 boy
24767 1904 Burley 0.000072 boy
24768 1904 Caleb 0.000072 boy
24769 1904 Carson 0.000072 boy
24770 1904 Dawson 0.000072 boy
24771 1904 Delos 0.000072 boy
24772 1904 Earlie 0.000072 boy
24773 1904 Edith 0.000072 boy
24774 1904 Eligah 0.000072 boy
24775 1904 Ellwood 0.000072 boy
24776 1904 Ennis 0.000072 boy
24777 1904 Eva 0.000072 boy
24778 1904 Garnett 0.000072 boy
24779 1904 Goldie 0.000072 boy
24780 1904 Guillermo 0.000072 boy
24781 1904 Hilliard 0.000072 boy
24782 1904 Ignatius 0.000072 boy
24783 1904 Jodie 0.000072 boy
24784 1904 Joesph 0.000072 boy
24785 1904 Joy 0.000072 boy
24786 1904 Kyle 0.000072 boy
24787 1904 Lamar 0.000072 boy
24788 1904 Lem 0.000072 boy
24789 1904 Lillian 0.000072 boy
24790 1904 Lindsey 0.000072 boy
24791 1904 Louise 0.000072 boy
24792 1904 Loyal 0.000072 boy
24793 1904 Lucien 0.000072 boy
24794 1904 Merton 0.000072 boy
24795 1904 Mervin 0.000072 boy
24796 1904 Mitchel 0.000072 boy
24797 1904 Newell 0.000072 boy
24798 1904 Oran 0.000072 boy
24799 1904 Raphael 0.000072 boy
24800 1904 Raymon 0.000072 boy
24801 1904 Reinhold 0.000072 boy
24802 1904 Richmond 0.000072 boy
24803 1904 Rose 0.000072 boy
24804 1904 Rudy 0.000072 boy
24805 1904 Sigmund 0.000072 boy
24806 1904 Thornton 0.000072 boy
24807 1904 Toney 0.000072 boy
24808 1904 Waino 0.000072 boy
24809 1904 Zack 0.000072 boy
24810 1904 Addison 0.000065 boy
24811 1904 Alfonzo 0.000065 boy
24812 1904 Alice 0.000065 boy
24813 1904 Almon 0.000065 boy
24814 1904 Arley 0.000065 boy
24815 1904 Armand 0.000065 boy
24816 1904 Augusta 0.000065 boy
24817 1904 Barton 0.000065 boy
24818 1904 Beecher 0.000065 boy
24819 1904 Burl 0.000065 boy
24820 1904 Catherine 0.000065 boy
24821 1904 Clemence 0.000065 boy
24822 1904 Darrell 0.000065 boy
24823 1904 Dayton 0.000065 boy
24824 1904 Dell 0.000065 boy
24825 1904 Donovan 0.000065 boy
24826 1904 Doris 0.000065 boy
24827 1904 Eldred 0.000065 boy
24828 1904 Elliot 0.000065 boy
24829 1904 Ernst 0.000065 boy
24830 1904 Essie 0.000065 boy
24831 1904 Fabian 0.000065 boy
24832 1904 Finis 0.000065 boy
24833 1904 Ford 0.000065 boy
24834 1904 Furman 0.000065 boy
24835 1904 Gardner 0.000065 boy
24836 1904 Grace 0.000065 boy
24837 1904 Hamilton 0.000065 boy
24838 1904 Harland 0.000065 boy
24839 1904 Harm 0.000065 boy
24840 1904 Hayden 0.000065 boy
24841 1904 Hermon 0.000065 boy
24842 1904 Hilbert 0.000065 boy
24843 1904 Hilton 0.000065 boy
24844 1904 Hudson 0.000065 boy
24845 1904 Jamie 0.000065 boy
24846 1904 Jordan 0.000065 boy
24847 1904 June 0.000065 boy
24848 1904 Kirk 0.000065 boy
24849 1904 Laurel 0.000065 boy
24850 1904 Lemon 0.000065 boy
24851 1904 Len 0.000065 boy
24852 1904 Lennie 0.000065 boy
24853 1904 Marshal 0.000065 boy
24854 1904 Melton 0.000065 boy
24855 1904 Nicolas 0.000065 boy
24856 1904 Ole 0.000065 boy
24857 1904 Orlando 0.000065 boy
24858 1904 Orrin 0.000065 boy
24859 1904 Orvel 0.000065 boy
24860 1904 Oswald 0.000065 boy
24861 1904 Park 0.000065 boy
24862 1904 Pierre 0.000065 boy
24863 1904 Ransom 0.000065 boy
24864 1904 Roderick 0.000065 boy
24865 1904 Rowland 0.000065 boy
24866 1904 Santos 0.000065 boy
24867 1904 Sebastian 0.000065 boy
24868 1904 Sid 0.000065 boy
24869 1904 Sumner 0.000065 boy
24870 1904 Thelma 0.000065 boy
24871 1904 Vincenzo 0.000065 boy
24872 1904 Wardell 0.000065 boy
24873 1904 Welton 0.000065 boy
24874 1904 Willam 0.000065 boy
24875 1904 Acie 0.000058 boy
24876 1904 Adrain 0.000058 boy
24877 1904 Adron 0.000058 boy
24878 1904 Alejandro 0.000058 boy
24879 1904 Almer 0.000058 boy
24880 1904 Arbie 0.000058 boy
24881 1904 Arlington 0.000058 boy
24882 1904 Art 0.000058 boy
24883 1904 Arvid 0.000058 boy
24884 1904 Audie 0.000058 boy
24885 1904 Augustine 0.000058 boy
24886 1904 Bartley 0.000058 boy
24887 1904 Benjaman 0.000058 boy
24888 1904 Bennett 0.000058 boy
24889 1904 Benton 0.000058 boy
24890 1904 Bertie 0.000058 boy
24891 1904 Betty 0.000058 boy
24892 1904 Bobby 0.000058 boy
24893 1904 Bradford 0.000058 boy
24894 1904 Cedric 0.000058 boy
24895 1904 Chalmer 0.000058 boy
24896 1904 Chalmers 0.000058 boy
24897 1904 Colin 0.000058 boy
24898 1904 Dalton 0.000058 boy
24899 1904 Darwin 0.000058 boy
24900 1904 Denis 0.000058 boy
24901 1904 Desmond 0.000058 boy
24902 1904 Dillard 0.000058 boy
24903 1904 Domenic 0.000058 boy
24904 1904 Donnie 0.000058 boy
24905 1904 Drew 0.000058 boy
24906 1904 Duard 0.000058 boy
24907 1904 Duke 0.000058 boy
24908 1904 Edson 0.000058 boy
24909 1904 Elden 0.000058 boy
24910 1904 Elroy 0.000058 boy
24911 1904 Elvis 0.000058 boy
24912 1904 Elwyn 0.000058 boy
24913 1904 Emmit 0.000058 boy
24914 1904 Ephraim 0.000058 boy
24915 1904 Eula 0.000058 boy
24916 1904 Ewell 0.000058 boy
24917 1904 Flora 0.000058 boy
24918 1904 Florian 0.000058 boy
24919 1904 Floy 0.000058 boy
24920 1904 Fritz 0.000058 boy
24921 1904 Gaylord 0.000058 boy
24922 1904 Genie 0.000058 boy
24923 1904 Glover 0.000058 boy
24924 1904 Hampton 0.000058 boy
24925 1904 Heber 0.000058 boy
24926 1904 Helmer 0.000058 boy
24927 1904 Josiah 0.000058 boy
24928 1904 Junious 0.000058 boy
24929 1904 Leander 0.000058 boy
24930 1904 Levy 0.000058 boy
24931 1904 Lois 0.000058 boy
24932 1904 Loy 0.000058 boy
24933 1904 Malcom 0.000058 boy
24934 1904 Marie 0.000058 boy
24935 1904 Marty 0.000058 boy
24936 1904 Mathias 0.000058 boy
24937 1904 Meredith 0.000058 boy
24938 1904 Murry 0.000058 boy
24939 1904 Nickolas 0.000058 boy
24940 1904 Norval 0.000058 boy
24941 1904 Olaf 0.000058 boy
24942 1904 Omar 0.000058 boy
24943 1904 Ossie 0.000058 boy
24944 1904 Pierce 0.000058 boy
24945 1904 Price 0.000058 boy
24946 1904 Raul 0.000058 boy
24947 1904 Reid 0.000058 boy
24948 1904 Ricardo 0.000058 boy
24949 1904 Roberto 0.000058 boy
24950 1904 Rolla 0.000058 boy
24951 1904 Royce 0.000058 boy
24952 1904 Severo 0.000058 boy
24953 1904 Shelley 0.000058 boy
24954 1904 Shelly 0.000058 boy
24955 1904 Stanford 0.000058 boy
24956 1904 Sylvan 0.000058 boy
24957 1904 Thurston 0.000058 boy
24958 1904 Tobie 0.000058 boy
24959 1904 Verl 0.000058 boy
24960 1904 Virgle 0.000058 boy
24961 1904 Walton 0.000058 boy
24962 1904 Wayman 0.000058 boy
24963 1904 Westley 0.000058 boy
24964 1904 Weston 0.000058 boy
24965 1904 Wylie 0.000058 boy
24966 1904 Alma 0.000051 boy
24967 1904 Alonza 0.000051 boy
24968 1904 Alpheus 0.000051 boy
24969 1904 Amon 0.000051 boy
24970 1904 Arden 0.000051 boy
24971 1904 Arnie 0.000051 boy
24972 1904 Baxter 0.000051 boy
24973 1904 Bedford 0.000051 boy
24974 1904 Benson 0.000051 boy
24975 1904 Berton 0.000051 boy
24976 1904 Beryl 0.000051 boy
24977 1904 Blair 0.000051 boy
24978 1904 Brice 0.000051 boy
24979 1904 Burrell 0.000051 boy
24980 1904 Carlyle 0.000051 boy
24981 1904 Casey 0.000051 boy
24982 1904 Cass 0.000051 boy
24983 1904 Christ 0.000051 boy
24984 1904 Claire 0.000051 boy
24985 1904 Claudie 0.000051 boy
24986 1904 Collie 0.000051 boy
24987 1904 Colonel 0.000051 boy
24988 1904 Cornelious 0.000051 boy
24989 1904 Council 0.000051 boy
24990 1904 Courtney 0.000051 boy
24991 1904 Danny 0.000051 boy
24992 1904 Einar 0.000051 boy
24993 1904 Elder 0.000051 boy
24994 1904 Eldridge 0.000051 boy
24995 1904 Elige 0.000051 boy
24996 1904 Ella 0.000051 boy
24997 1904 Ellery 0.000051 boy
24998 1904 Elwin 0.000051 boy
24999 1904 Enrique 0.000051 boy
[ reached 'max' / getOption("max.print") -- omitted 233001 rows ]Reading using readr creates a tibble
# A tibble: 258,000 × 4
year name percent sex
<dbl> <chr> <dbl> <chr>
1 1880 John 0.0815 boy
2 1880 William 0.0805 boy
3 1880 James 0.0501 boy
4 1880 Charles 0.0452 boy
5 1880 George 0.0433 boy
6 1880 Frank 0.0274 boy
7 1880 Joseph 0.0222 boy
8 1880 Thomas 0.0214 boy
9 1880 Henry 0.0206 boy
10 1880 Robert 0.0204 boy
# … with 257,990 more rowsManipulating data in R
Data manipulation
There are at least two characteristics that a good data manipulation software should have:
- speed: results are returned in a reasonable time
- elegance: easy to use and to understand what the code is doing
The tidyverse is an opinionated collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures.
The tidyverse
The tidyverse is a meta package that provides a collection of tools (across different packages) that are designed for data science.
The tidyverse
The package is not included in the base installation of R.
Data manipulation with {dplyr} and {tidyr}
Tidyverse
A lot of tidyverse functions have the same scheme: the first argument is a data frame:
function(<dataframe>, <expression>)
| Function | Definition |
|---|---|
filter(df, ...) |
Select a subset of the rows of a data frame. |
arrange(df, ...) |
Reorder rows of a data frame. |
select(df, ...) |
Select columns of a data frame. |
mutate(df, ...) |
Add or modify columns in a data frame. |
summarise(df, ...) |
Summarize a data frame into a single row. This function is very helpful in combination with the group_by() function. |
group_by(df, ...) |
Group a data frame based on the specified columns. |
*_join(df, ...) |
Join/merge two data frames. |
The nycflights13 datasets
To learn how to use these functions, we will use datasets from package
nycflights13.This package contains information about all flights that departed from New York airports (i.e., EWR, JFK and LGA) in 2013.
Not included in base R, we first need to install it.
Relationships
- The
flightstable connects toplanesvia a single variable,tailnum. - The
flightstable connects toairportsin two ways: via theoriginanddestvariables.
nycflights13
For the following examples we are going to use fights, planes, airports, airlines tables.
The flights table
Rows: 336,776
Columns: 19
$ year <int> 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2…
$ month <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
$ day <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
$ dep_time <int> 517, 533, 542, 544, 554, 554, 555, 557, 557, 558, 558, …
$ sched_dep_time <int> 515, 529, 540, 545, 600, 558, 600, 600, 600, 600, 600, …
$ dep_delay <dbl> 2, 4, 2, -1, -6, -4, -5, -3, -3, -2, -2, -2, -2, -2, -1…
$ arr_time <int> 830, 850, 923, 1004, 812, 740, 913, 709, 838, 753, 849,…
$ sched_arr_time <int> 819, 830, 850, 1022, 837, 728, 854, 723, 846, 745, 851,…
$ arr_delay <dbl> 11, 20, 33, -18, -25, 12, 19, -14, -8, 8, -2, -3, 7, -1…
$ carrier <chr> "UA", "UA", "AA", "B6", "DL", "UA", "B6", "EV", "B6", "…
$ flight <int> 1545, 1714, 1141, 725, 461, 1696, 507, 5708, 79, 301, 4…
$ tailnum <chr> "N14228", "N24211", "N619AA", "N804JB", "N668DN", "N394…
$ origin <chr> "EWR", "LGA", "JFK", "JFK", "LGA", "EWR", "EWR", "LGA",…
$ dest <chr> "IAH", "IAH", "MIA", "BQN", "ATL", "ORD", "FLL", "IAD",…
$ air_time <dbl> 227, 227, 160, 183, 116, 150, 158, 53, 140, 138, 149, 1…
$ distance <dbl> 1400, 1416, 1089, 1576, 762, 719, 1065, 229, 944, 733, …
$ hour <dbl> 5, 5, 5, 5, 6, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 5, 6, 6, 6…
$ minute <dbl> 15, 29, 40, 45, 0, 58, 0, 0, 0, 0, 0, 0, 0, 0, 0, 59, 0…
$ time_hour <dttm> 2013-01-01 05:00:00, 2013-01-01 05:00:00, 2013-01-01 0…The flights table
| year | month | day | dep_time | sched_dep_time | dep_delay | arr_time | sched_arr_time | arr_delay | carrier | flight | tailnum | origin | dest | air_time | distance | hour | minute | time_hour |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013 | 1 | 1 | 517 | 515 | 2 | 830 | 819 | 11 | UA | 1545 | N14228 | EWR | IAH | 227 | 1400 | 5 | 15 | 2013-01-01 05:00:00 |
| 2013 | 1 | 1 | 533 | 529 | 4 | 850 | 830 | 20 | UA | 1714 | N24211 | LGA | IAH | 227 | 1416 | 5 | 29 | 2013-01-01 05:00:00 |
| 2013 | 1 | 1 | 542 | 540 | 2 | 923 | 850 | 33 | AA | 1141 | N619AA | JFK | MIA | 160 | 1089 | 5 | 40 | 2013-01-01 05:00:00 |
| 2013 | 1 | 1 | 544 | 545 | -1 | 1004 | 1022 | -18 | B6 | 725 | N804JB | JFK | BQN | 183 | 1576 | 5 | 45 | 2013-01-01 05:00:00 |
| 2013 | 1 | 1 | 554 | 600 | -6 | 812 | 837 | -25 | DL | 461 | N668DN | LGA | ATL | 116 | 762 | 6 | 0 | 2013-01-01 06:00:00 |
| 2013 | 1 | 1 | 554 | 558 | -4 | 740 | 728 | 12 | UA | 1696 | N39463 | EWR | ORD | 150 | 719 | 5 | 58 | 2013-01-01 05:00:00 |
The planes table
Rows: 3,322
Columns: 9
$ tailnum <chr> "N10156", "N102UW", "N103US", "N104UW", "N10575", "N105UW…
$ year <int> 2004, 1998, 1999, 1999, 2002, 1999, 1999, 1999, 1999, 199…
$ type <chr> "Fixed wing multi engine", "Fixed wing multi engine", "Fi…
$ manufacturer <chr> "EMBRAER", "AIRBUS INDUSTRIE", "AIRBUS INDUSTRIE", "AIRBU…
$ model <chr> "EMB-145XR", "A320-214", "A320-214", "A320-214", "EMB-145…
$ engines <int> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, …
$ seats <int> 55, 182, 182, 182, 55, 182, 182, 182, 182, 182, 55, 55, 5…
$ speed <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
$ engine <chr> "Turbo-fan", "Turbo-fan", "Turbo-fan", "Turbo-fan", "Turb…The planes table
| tailnum | year | type | manufacturer | model | engines | seats | speed | engine |
|---|---|---|---|---|---|---|---|---|
| N10156 | 2004 | Fixed wing multi engine | EMBRAER | EMB-145XR | 2 | 55 | NA | Turbo-fan |
| N102UW | 1998 | Fixed wing multi engine | AIRBUS INDUSTRIE | A320-214 | 2 | 182 | NA | Turbo-fan |
| N103US | 1999 | Fixed wing multi engine | AIRBUS INDUSTRIE | A320-214 | 2 | 182 | NA | Turbo-fan |
| N104UW | 1999 | Fixed wing multi engine | AIRBUS INDUSTRIE | A320-214 | 2 | 182 | NA | Turbo-fan |
| N10575 | 2002 | Fixed wing multi engine | EMBRAER | EMB-145LR | 2 | 55 | NA | Turbo-fan |
| N105UW | 1999 | Fixed wing multi engine | AIRBUS INDUSTRIE | A320-214 | 2 | 182 | NA | Turbo-fan |
The airports table
Rows: 1,458
Columns: 8
$ faa <chr> "04G", "06A", "06C", "06N", "09J", "0A9", "0G6", "0G7", "0P2", "…
$ name <chr> "Lansdowne Airport", "Moton Field Municipal Airport", "Schaumbur…
$ lat <dbl> 41.13047, 32.46057, 41.98934, 41.43191, 31.07447, 36.37122, 41.4…
$ lon <dbl> -80.61958, -85.68003, -88.10124, -74.39156, -81.42778, -82.17342…
$ alt <dbl> 1044, 264, 801, 523, 11, 1593, 730, 492, 1000, 108, 409, 875, 10…
$ tz <dbl> -5, -6, -6, -5, -5, -5, -5, -5, -5, -8, -5, -6, -5, -5, -5, -5, …
$ dst <chr> "A", "A", "A", "A", "A", "A", "A", "A", "U", "A", "A", "U", "A",…
$ tzone <chr> "America/New_York", "America/Chicago", "America/Chicago", "Ameri…The airlines table
The weather table
Rows: 26,115
Columns: 15
$ origin <chr> "EWR", "EWR", "EWR", "EWR", "EWR", "EWR", "EWR", "EWR", "EW…
$ year <int> 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013,…
$ month <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
$ day <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
$ hour <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, …
$ temp <dbl> 39.02, 39.02, 39.02, 39.92, 39.02, 37.94, 39.02, 39.92, 39.…
$ dewp <dbl> 26.06, 26.96, 28.04, 28.04, 28.04, 28.04, 28.04, 28.04, 28.…
$ humid <dbl> 59.37, 61.63, 64.43, 62.21, 64.43, 67.21, 64.43, 62.21, 62.…
$ wind_dir <dbl> 270, 250, 240, 250, 260, 240, 240, 250, 260, 260, 260, 330,…
$ wind_speed <dbl> 10.35702, 8.05546, 11.50780, 12.65858, 12.65858, 11.50780, …
$ wind_gust <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 20.…
$ precip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ pressure <dbl> 1012.0, 1012.3, 1012.5, 1012.2, 1011.9, 1012.4, 1012.2, 101…
$ visib <dbl> 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,…
$ time_hour <dttm> 2013-01-01 01:00:00, 2013-01-01 02:00:00, 2013-01-01 03:00…Getting more information
If you want more information on a specific table, use the ? operator. This will open the help file and describe all variables included in the data frame.
The filter() function
The
filter()allows you to select a subset of the rows of a data frame.The first argument is the name of the data frame, and the second and subsequent are filtering expressions evaluated in the context of that data frame.
filter(<dataframe>, <logical expression>)
The filter() function
Example 1: select all flights with a tail number equal to “N14228”.
# A tibble: 111 × 19
year month day dep_time sched_de…¹ dep_d…² arr_t…³ sched…⁴ arr_d…⁵ carrier
<int> <int> <int> <int> <int> <dbl> <int> <int> <dbl> <chr>
1 2013 1 1 517 515 2 830 819 11 UA
2 2013 1 8 1435 1440 -5 1717 1746 -29 UA
3 2013 1 9 717 700 17 812 815 -3 UA
4 2013 1 9 1143 1144 -1 1425 1445 -20 UA
5 2013 1 13 835 824 11 1030 951 39 UA
6 2013 1 16 1829 1730 59 2117 2023 54 UA
7 2013 1 22 1902 1808 54 2214 2106 68 UA
8 2013 1 23 1050 1056 -6 1143 1208 -25 UA
9 2013 1 23 1533 1529 4 1641 1645 -4 UA
10 2013 1 25 724 720 4 1000 1023 -23 UA
# … with 101 more rows, 9 more variables: flight <int>, tailnum <chr>,
# origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
# minute <dbl>, time_hour <dttm>, and abbreviated variable names
# ¹sched_dep_time, ²dep_delay, ³arr_time, ⁴sched_arr_time, ⁵arr_delayThe filter() function
Example 2: select all flights with a departure delay greater than 180 minutes.
# A tibble: 3,893 × 19
year month day dep_time sched_de…¹ dep_d…² arr_t…³ sched…⁴ arr_d…⁵ carrier
<int> <int> <int> <int> <int> <dbl> <int> <int> <dbl> <chr>
1 2013 1 1 848 1835 853 1001 1950 851 MQ
2 2013 1 1 1815 1325 290 2120 1542 338 EV
3 2013 1 1 1842 1422 260 1958 1535 263 EV
4 2013 1 1 2006 1630 216 2230 1848 222 EV
5 2013 1 1 2115 1700 255 2330 1920 250 9E
6 2013 1 1 2205 1720 285 46 2040 246 AA
7 2013 1 1 2312 2000 192 21 2110 191 EV
8 2013 1 1 2343 1724 379 314 1938 456 EV
9 2013 1 2 1244 900 224 1431 1104 207 EV
10 2013 1 2 1332 904 268 1616 1128 288 EV
# … with 3,883 more rows, 9 more variables: flight <int>, tailnum <chr>,
# origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
# minute <dbl>, time_hour <dttm>, and abbreviated variable names
# ¹sched_dep_time, ²dep_delay, ³arr_time, ⁴sched_arr_time, ⁵arr_delayThe filter() function
Example 3: select all flights from carriers “MQ” or “EV”.
# A tibble: 80,570 × 19
year month day dep_time sched_de…¹ dep_d…² arr_t…³ sched…⁴ arr_d…⁵ carrier
<int> <int> <int> <int> <int> <dbl> <int> <int> <dbl> <chr>
1 2013 1 1 557 600 -3 709 723 -14 EV
2 2013 1 1 600 600 0 837 825 12 MQ
3 2013 1 1 602 605 -3 821 805 16 MQ
4 2013 1 1 608 600 8 807 735 32 MQ
5 2013 1 1 624 630 -6 909 840 29 EV
6 2013 1 1 624 630 -6 840 830 10 MQ
7 2013 1 1 632 608 24 740 728 12 EV
8 2013 1 1 656 705 -9 1007 940 27 MQ
9 2013 1 1 749 710 39 939 850 49 MQ
10 2013 1 1 800 810 -10 949 955 -6 MQ
# … with 80,560 more rows, 9 more variables: flight <int>, tailnum <chr>,
# origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
# minute <dbl>, time_hour <dttm>, and abbreviated variable names
# ¹sched_dep_time, ²dep_delay, ³arr_time, ⁴sched_arr_time, ⁵arr_delayThe filter() function
Another option using the %in% operator.
# A tibble: 80,570 × 19
year month day dep_time sched_de…¹ dep_d…² arr_t…³ sched…⁴ arr_d…⁵ carrier
<int> <int> <int> <int> <int> <dbl> <int> <int> <dbl> <chr>
1 2013 1 1 557 600 -3 709 723 -14 EV
2 2013 1 1 600 600 0 837 825 12 MQ
3 2013 1 1 602 605 -3 821 805 16 MQ
4 2013 1 1 608 600 8 807 735 32 MQ
5 2013 1 1 624 630 -6 909 840 29 EV
6 2013 1 1 624 630 -6 840 830 10 MQ
7 2013 1 1 632 608 24 740 728 12 EV
8 2013 1 1 656 705 -9 1007 940 27 MQ
9 2013 1 1 749 710 39 939 850 49 MQ
10 2013 1 1 800 810 -10 949 955 -6 MQ
# … with 80,560 more rows, 9 more variables: flight <int>, tailnum <chr>,
# origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
# minute <dbl>, time_hour <dttm>, and abbreviated variable names
# ¹sched_dep_time, ²dep_delay, ³arr_time, ⁴sched_arr_time, ⁵arr_delayThe filter() function
Your turn: write code that uses the flights table and return all the flights with delayed departures between 100 and 200 minutes from the “FL” carrier.
# A tibble: 127 × 19
year month day dep_time sched_de…¹ dep_d…² arr_t…³ sched…⁴ arr_d…⁵ carrier
<int> <int> <int> <int> <int> <dbl> <int> <int> <dbl> <chr>
1 2013 1 27 1522 1308 134 1809 1542 147 FL
2 2013 1 30 2300 2030 150 23 2206 137 FL
3 2013 10 7 2132 1859 153 2339 2126 133 FL
4 2013 10 7 2240 2030 130 2356 2201 115 FL
5 2013 10 11 1946 1738 128 2156 2005 111 FL
6 2013 10 11 2144 1859 165 2344 2126 138 FL
7 2013 10 28 956 810 106 1217 1037 100 FL
8 2013 11 12 1937 1729 128 2221 1955 146 FL
9 2013 11 27 1901 1720 101 2144 1948 116 FL
10 2013 12 5 2314 2033 161 38 2206 152 FL
# … with 117 more rows, 9 more variables: flight <int>, tailnum <chr>,
# origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
# minute <dbl>, time_hour <dttm>, and abbreviated variable names
# ¹sched_dep_time, ²dep_delay, ³arr_time, ⁴sched_arr_time, ⁵arr_delayThe arrange() function
arrange()reorders the rows of a data frame.The function takes a data frame, and a set of column name(s) to order by.
arrange(<dataframe>, <column(s)>)
The arrange() function
Example 1: reorder flights on departure month.
# A tibble: 336,776 × 19
year month day dep_time sched_de…¹ dep_d…² arr_t…³ sched…⁴ arr_d…⁵ carrier
<int> <int> <int> <int> <int> <dbl> <int> <int> <dbl> <chr>
1 2013 1 1 517 515 2 830 819 11 UA
2 2013 1 1 533 529 4 850 830 20 UA
3 2013 1 1 542 540 2 923 850 33 AA
4 2013 1 1 544 545 -1 1004 1022 -18 B6
5 2013 1 1 554 600 -6 812 837 -25 DL
6 2013 1 1 554 558 -4 740 728 12 UA
7 2013 1 1 555 600 -5 913 854 19 B6
8 2013 1 1 557 600 -3 709 723 -14 EV
9 2013 1 1 557 600 -3 838 846 -8 B6
10 2013 1 1 558 600 -2 753 745 8 AA
# … with 336,766 more rows, 9 more variables: flight <int>, tailnum <chr>,
# origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
# minute <dbl>, time_hour <dttm>, and abbreviated variable names
# ¹sched_dep_time, ²dep_delay, ³arr_time, ⁴sched_arr_time, ⁵arr_delayThe arrange() function
Example 2: reorder flights on departure month and departure time.
# A tibble: 336,776 × 19
year month day dep_time sched_de…¹ dep_d…² arr_t…³ sched…⁴ arr_d…⁵ carrier
<int> <int> <int> <int> <int> <dbl> <int> <int> <dbl> <chr>
1 2013 1 13 1 2249 72 108 2357 71 B6
2 2013 1 31 1 2100 181 124 2225 179 WN
3 2013 1 9 2 2359 3 432 444 -12 B6
4 2013 1 13 2 2359 3 502 444 18 B6
5 2013 1 16 2 2125 157 119 2250 149 MQ
6 2013 1 10 3 2359 4 426 437 -11 B6
7 2013 1 13 3 2030 213 340 2350 230 B6
8 2013 1 16 3 1946 257 212 2154 258 EV
9 2013 1 30 3 2159 124 100 2306 114 EV
10 2013 1 31 4 2359 5 455 444 11 B6
# … with 336,766 more rows, 9 more variables: flight <int>, tailnum <chr>,
# origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
# minute <dbl>, time_hour <dttm>, and abbreviated variable names
# ¹sched_dep_time, ²dep_delay, ³arr_time, ⁴sched_arr_time, ⁵arr_delayThe arrange() function
Example 3: reorder flights on departure month and by decreasing departure time.
# A tibble: 336,776 × 19
year month day dep_time sched_de…¹ dep_d…² arr_t…³ sched…⁴ arr_d…⁵ carrier
<int> <int> <int> <int> <int> <dbl> <int> <int> <dbl> <chr>
1 2013 1 7 2359 2359 0 506 437 29 B6
2 2013 1 12 2359 2359 0 429 437 -8 B6
3 2013 1 13 2359 2130 149 435 218 137 B6
4 2013 1 18 2359 2359 0 439 437 2 B6
5 2013 1 19 2359 2359 0 437 444 -7 B6
6 2013 1 25 2359 2359 0 500 444 16 B6
7 2013 1 4 2358 2359 -1 429 437 -8 B6
8 2013 1 4 2358 2359 -1 436 445 -9 B6
9 2013 1 13 2358 2045 193 233 2310 203 B6
10 2013 1 16 2358 2359 -1 502 437 25 B6
# … with 336,766 more rows, 9 more variables: flight <int>, tailnum <chr>,
# origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
# minute <dbl>, time_hour <dttm>, and abbreviated variable names
# ¹sched_dep_time, ²dep_delay, ³arr_time, ⁴sched_arr_time, ⁵arr_delayThe select() function
select()is used to extract column(s) from a data frame.Useful when you want to perform data analysis on specific column(s) and not the complete dataset.
select(<dataframe>, <column(s)>)
The select() function
Example 1: select “faa” and “name” columns from the airports data frame.
# A tibble: 1,458 × 2
faa name
<chr> <chr>
1 04G Lansdowne Airport
2 06A Moton Field Municipal Airport
3 06C Schaumburg Regional
4 06N Randall Airport
5 09J Jekyll Island Airport
6 0A9 Elizabethton Municipal Airport
7 0G6 Williams County Airport
8 0G7 Finger Lakes Regional Airport
9 0P2 Shoestring Aviation Airfield
10 0S9 Jefferson County Intl
# … with 1,448 more rowsThe select() function
You can also use select() to remove columns with the - operator.
Example 2: select all columns from airports except “faa” and “name”.
# A tibble: 1,458 × 6
lat lon alt tz dst tzone
<dbl> <dbl> <dbl> <dbl> <chr> <chr>
1 41.1 -80.6 1044 -5 A America/New_York
2 32.5 -85.7 264 -6 A America/Chicago
3 42.0 -88.1 801 -6 A America/Chicago
4 41.4 -74.4 523 -5 A America/New_York
5 31.1 -81.4 11 -5 A America/New_York
6 36.4 -82.2 1593 -5 A America/New_York
7 41.5 -84.5 730 -5 A America/New_York
8 42.9 -76.8 492 -5 A America/New_York
9 39.8 -76.6 1000 -5 U America/New_York
10 48.1 -123. 108 -8 A America/Los_Angeles
# … with 1,448 more rowsThe select() function
It is also possible to select columns using helper functions.
Example 3: select “year”, “month” and all columns that start with “dep_” from flights.
# A tibble: 336,776 × 4
year month dep_time dep_delay
<int> <int> <int> <dbl>
1 2013 1 517 2
2 2013 1 533 4
3 2013 1 542 2
4 2013 1 544 -1
5 2013 1 554 -6
6 2013 1 554 -4
7 2013 1 555 -5
8 2013 1 557 -3
9 2013 1 557 -3
10 2013 1 558 -2
# … with 336,766 more rowsThe mutate() function
The
mutate()function is used to add or modify existing column(s) inside a data frame.The function takes a data frame, and one or more expressions that add/modify columns.
mutate(<dataframe>, <expression>)
The mutate() function
Example 1:
add a new column named distance_km which converts the distance column, which is the flight distance in miles, into km.
The mutate() function
It is also possible to add many new variables in a single operation.
mutate(
flights,
distance_km = distance / 0.62137,
distance_knot = distance / 1.15078,
.keep = "used"
)# A tibble: 336,776 × 3
distance distance_km distance_knot
<dbl> <dbl> <dbl>
1 1400 2253. 1217.
2 1416 2279. 1230.
3 1089 1753. 946.
4 1576 2536. 1370.
5 762 1226. 662.
6 719 1157. 625.
7 1065 1714. 925.
8 229 369. 199.
9 944 1519. 820.
10 733 1180. 637.
# … with 336,766 more rowsThe mutate() function
The mutate() function is very powerful as it allows to use of some helper functions to mutate multiple columns at once.
For the following examples, we will use the weather table.
# A tibble: 26,115 × 15
origin year month day hour temp dewp humid wind_dir wind_speed wind_g…¹
<chr> <int> <int> <int> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 EWR 2013 1 1 1 39.0 26.1 59.4 270 10.4 NA
2 EWR 2013 1 1 2 39.0 27.0 61.6 250 8.06 NA
3 EWR 2013 1 1 3 39.0 28.0 64.4 240 11.5 NA
4 EWR 2013 1 1 4 39.9 28.0 62.2 250 12.7 NA
5 EWR 2013 1 1 5 39.0 28.0 64.4 260 12.7 NA
6 EWR 2013 1 1 6 37.9 28.0 67.2 240 11.5 NA
7 EWR 2013 1 1 7 39.0 28.0 64.4 240 15.0 NA
8 EWR 2013 1 1 8 39.9 28.0 62.2 250 10.4 NA
9 EWR 2013 1 1 9 39.9 28.0 62.2 260 15.0 NA
10 EWR 2013 1 1 10 41 28.0 59.6 260 13.8 NA
# … with 26,105 more rows, 4 more variables: precip <dbl>, pressure <dbl>,
# visib <dbl>, time_hour <dttm>, and abbreviated variable name ¹wind_gustThe mutate() function
Let’s say we want to round all the numerical columns of the weather data frame. It could be fastidious to do it manually for the 13 numerical columns.
Rows: 26,115
Columns: 15
$ origin <chr> "EWR", "EWR", "EWR", "EWR", "EWR", "EWR", "EWR", "EWR", "EW…
$ year <int> 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013,…
$ month <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
$ day <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
$ hour <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, …
$ temp <dbl> 39.02, 39.02, 39.02, 39.92, 39.02, 37.94, 39.02, 39.92, 39.…
$ dewp <dbl> 26.06, 26.96, 28.04, 28.04, 28.04, 28.04, 28.04, 28.04, 28.…
$ humid <dbl> 59.37, 61.63, 64.43, 62.21, 64.43, 67.21, 64.43, 62.21, 62.…
$ wind_dir <dbl> 270, 250, 240, 250, 260, 240, 240, 250, 260, 260, 260, 330,…
$ wind_speed <dbl> 10.35702, 8.05546, 11.50780, 12.65858, 12.65858, 11.50780, …
$ wind_gust <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 20.…
$ precip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ pressure <dbl> 1012.0, 1012.3, 1012.5, 1012.2, 1011.9, 1012.4, 1012.2, 101…
$ visib <dbl> 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,…
$ time_hour <dttm> 2013-01-01 01:00:00, 2013-01-01 02:00:00, 2013-01-01 03:00…The mutate() function
Would require a lot of typing (and I am very lazy!):
mutate(
weather,
year = round(year),
month = round(month),
day = round(day),
hour = round(hour),
temp = round(temp),
dewp = round(dewp),
humid = round(humid),
wind_dir = round(wind_dir),
wind_speed = round(wind_speed),
wind_gust = round(wind_gust),
precip = round(precip),
pressure = round(pressure)
)The mutate() function
One option, is to use the
across(cols, function_to_apply)function.The following code says:
apply the round() function to all the columns between temp and pressure
# A tibble: 26,115 × 12
year month day hour temp dewp humid wind_dir wind_speed wind_g…¹ precip
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2013 1 1 1 39 26 59 270 10 NA 0
2 2013 1 1 2 39 27 62 250 8 NA 0
3 2013 1 1 3 39 28 64 240 12 NA 0
4 2013 1 1 4 40 28 62 250 13 NA 0
5 2013 1 1 5 39 28 64 260 13 NA 0
6 2013 1 1 6 38 28 67 240 12 NA 0
7 2013 1 1 7 39 28 64 240 15 NA 0
8 2013 1 1 8 40 28 62 250 10 NA 0
9 2013 1 1 9 40 28 62 260 15 NA 0
10 2013 1 1 10 41 28 60 260 14 NA 0
# … with 26,105 more rows, 1 more variable: pressure <dbl>, and abbreviated
# variable name ¹wind_gustThe mutate() function
Another option is to use a combination of
across()andwhere()functions.The following code says:
apply the round() function to all the numerical columns
# A tibble: 26,115 × 13
year month day hour temp dewp humid wind_dir wind_speed wind_g…¹ precip
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2013 1 1 1 39 26 59 270 10 NA 0
2 2013 1 1 2 39 27 62 250 8 NA 0
3 2013 1 1 3 39 28 64 240 12 NA 0
4 2013 1 1 4 40 28 62 250 13 NA 0
5 2013 1 1 5 39 28 64 260 13 NA 0
6 2013 1 1 6 38 28 67 240 12 NA 0
7 2013 1 1 7 39 28 64 240 15 NA 0
8 2013 1 1 8 40 28 62 250 10 NA 0
9 2013 1 1 9 40 28 62 260 15 NA 0
10 2013 1 1 10 41 28 60 260 14 NA 0
# … with 26,105 more rows, 2 more variables: pressure <dbl>, visib <dbl>, and
# abbreviated variable name ¹wind_gustThe summarise() function
The
summarise()function allows summarising columns from a data frame.Compress a data frame into single values (i.e. one row).
- Hence, you have to provide a function that will be used to calculate a certain value.
summarise(<dataframe>, <expression>)
The summarise() function
Example 1: Calculate the mean/average values for the dep_delay and arr_delay columns.
summarise(
flights,
average_departure_delay = mean(dep_delay),
average_arrival_delay = mean(arr_delay)
)# A tibble: 1 × 2
average_departure_delay average_arrival_delay
<dbl> <dbl>
1 NA NAWhat is going on? Why do we have NA’s?
The summarise() function
Example 1: Calculate the mean/average values for the dep_delay and arr_delay columns.
The summarise() function
- It could be interesting to know how many observations were used in the computation.
- For this, we can use the
n()helper function.
summarise(
flights,
average_departure_delay = mean(dep_delay, na.rm = TRUE),
average_arrival_delay = mean(arr_delay, na.rm = TRUE),
n = n() # Adding a new column "n" with the number of used observations
)# A tibble: 1 × 3
average_departure_delay average_arrival_delay n
<dbl> <dbl> <int>
1 12.6 6.90 336776The summarise() function
- Similarly as with
mutate(), we can use theacross()function to avoid extra typing.
# A tibble: 1 × 14
year month day hour temp dewp humid wind_dir wind_speed wind_g…¹ precip
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2013 6.50 15.7 11.5 55.3 41.4 62.5 200. 10.5 25.5 0.00447
# … with 3 more variables: pressure <dbl>, visib <dbl>, n <int>, and
# abbreviated variable name ¹wind_gustWorking with grouped data
- Alone, the
summarise()function is not helpful because it collapses a data frame to a single row. - Usually, we want to work on grouped data.
group_by()“prepares” a data frame to send it to thesummarise()function.
Working with grouped data
Example 1: Calculate the average departure delay by carrier.
First, let’s group the data by carrier.
# A tibble: 336,776 × 19
# Groups: carrier [16]
year month day dep_time sched_de…¹ dep_d…² arr_t…³ sched…⁴ arr_d…⁵ carrier
<int> <int> <int> <int> <int> <dbl> <int> <int> <dbl> <chr>
1 2013 1 1 517 515 2 830 819 11 UA
2 2013 1 1 533 529 4 850 830 20 UA
3 2013 1 1 542 540 2 923 850 33 AA
4 2013 1 1 544 545 -1 1004 1022 -18 B6
5 2013 1 1 554 600 -6 812 837 -25 DL
6 2013 1 1 554 558 -4 740 728 12 UA
7 2013 1 1 555 600 -5 913 854 19 B6
8 2013 1 1 557 600 -3 709 723 -14 EV
9 2013 1 1 557 600 -3 838 846 -8 B6
10 2013 1 1 558 600 -2 753 745 8 AA
# … with 336,766 more rows, 9 more variables: flight <int>, tailnum <chr>,
# origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
# minute <dbl>, time_hour <dttm>, and abbreviated variable names
# ¹sched_dep_time, ²dep_delay, ³arr_time, ⁴sched_arr_time, ⁵arr_delayWorking with grouped data
Example 1: Calculate the average departure delay by carrier.
Secondly, use summarise() as we did before by now using flights_grouped instead of flights.
Working with grouped data
# A tibble: 16 × 3
carrier average_departure_delay n
<chr> <dbl> <int>
1 9E 16.7 18460
2 AA 8.59 32729
3 AS 5.80 714
4 B6 13.0 54635
5 DL 9.26 48110
6 EV 20.0 54173
7 F9 20.2 685
8 FL 18.7 3260
9 HA 4.90 342
10 MQ 10.6 26397
11 OO 12.6 32
12 UA 12.1 58665
13 US 3.78 20536
14 VX 12.9 5162
15 WN 17.7 12275
16 YV 19.0 601Working with grouped data
- We can also
summarise()multiple columns at once.
Working with grouped data
# A tibble: 16 × 16
carrier year month day dep_time sched_de…¹ dep_d…² arr_t…³ sched…⁴ arr_d…⁵
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 9E 2013 6.56 15.6 1487. 1472. 16.7 1639. 1671. 7.38
2 AA 2013 6.48 15.7 1297. 1290. 8.59 1521. 1545. 0.364
3 AS 2013 6.41 15.8 1295. 1285. 5.80 1565. 1595. -9.93
4 B6 2013 6.52 15.8 1381. 1397. 13.0 1406. 1469. 9.46
5 DL 2013 6.57 15.8 1351. 1346. 9.26 1573. 1596. 1.64
6 EV 2013 6.58 15.7 1369. 1354. 20.0 1488. 1532. 15.8
7 F9 2013 6.59 15.6 1438. 1408. 20.2 1672. 1646. 21.9
8 FL 2013 6.02 15.7 1387. 1372. 18.7 1574. 1585. 20.1
9 HA 2013 6.27 15.7 949. 974. 4.90 1474. 1492. -6.92
10 MQ 2013 6.47 15.7 1393. 1387. 10.6 1551. 1564. 10.8
11 OO 2013 8.75 16.3 1725. 1731. 12.6 1913. 1890. 11.9
12 UA 2013 6.56 15.7 1327. 1313. 12.1 1509. 1544. 3.56
13 US 2013 6.55 15.7 1231. 1246. 3.78 1402. 1412. 2.13
14 VX 2013 6.93 15.7 1280. 1265. 12.9 1523. 1596. 1.76
15 WN 2013 6.63 15.7 1281. 1260. 17.7 1443. 1450. 9.65
16 YV 2013 6.91 15.8 1601. 1575. 19.0 1761. 1743. 15.6
# … with 6 more variables: flight <dbl>, air_time <dbl>, distance <dbl>,
# hour <dbl>, minute <dbl>, n <int>, and abbreviated variable names
# ¹sched_dep_time, ²dep_delay, ³arr_time, ⁴sched_arr_time, ⁵arr_delayWorking with grouped data
New in dplyr 1.1.0
.by/by is an experimental alternative to group_by() that supports per-operation grouping for mutate(), summarise(), filter(), and the slice() family.
We want to calculate the average height for each combination of species and homeworld in the starwars data frame.
starwars_grouped <- group_by(starwars, species, homeworld)
summarise(
starwars_grouped,
mean_height = mean(height)
)# A tibble: 58 × 3
# Groups: species [38]
species homeworld mean_height
<chr> <chr> <dbl>
1 Aleena Aleen Minor 79
2 Besalisk Ojom 198
3 Cerean Cerea 198
4 Chagrian Champala 196
5 Clawdite Zolan 168
6 Droid Naboo 96
7 Droid Tatooine 132
8 Droid <NA> NA
9 Dug Malastare 112
10 Ewok Endor 88
# … with 48 more rows# A tibble: 58 × 3
species homeworld mean_height
<chr> <chr> <dbl>
1 Human Tatooine 179.
2 Droid Tatooine 132
3 Droid Naboo 96
4 Human Alderaan 176.
5 Human Stewjon 182
6 Human Eriadu 180
7 Wookiee Kashyyyk 231
8 Human Corellia 175
9 Rodian Rodia 173
10 Hutt Nal Hutta 175
# … with 48 more rowsExercises
The Titanic
Rows: 1,309
Columns: 9
$ pclass <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
$ sex <chr> "female", "male", "female", "male", "female", "male", "fem…
$ age <dbl> 29.00, 0.92, 2.00, 30.00, 25.00, 48.00, 63.00, 39.00, 53.0…
$ family_size <dbl> 0, 3, 3, 3, 3, 0, 1, 0, 2, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0…
$ ticket <chr> "24160", "113781", "113781", "113781", "113781", "19952", …
$ fare <dbl> 211.3375, 151.5500, 151.5500, 151.5500, 151.5500, 26.5500,…
$ cabin <chr> "B5", "C22 C26", "C22 C26", "C22 C26", "C22 C26", "E12", "…
$ embarked <chr> "S", "S", "S", "S", "S", "S", "S", "S", "S", "C", "C", "C"…
$ survived <dbl> 1, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0…The Titanic
Using your newly acquired skills, try answering the following questions:
- What was the average age of passengers on the Titanic?
- Hint: use
summarise()
- Hint: use
- How many passengers on the Titanic were from first class?
- Hint: use
filter()
- Hint: use
- What was the proportion of passengers who survived the Titanic disaster?
- Hint: use
group_by(),summarise()andmutate()
- Hint: use
- What was the average ticket price by cabin class (sort the results by decreasing price)?
- Hint: use
group_by(),summarise(),mutate()andarrange()
- Hint: use
Piping operations
Photo by Val Tievsky on Unsplash
Piping operations
- We have seen that to summarise grouped data, we need to perform two operations.
- Here we want to calculate the average departure delay for each carrier.
The thing is that we never directly use flights_grouped; it is only used as an intermediate object.
Piping operations
With R 4.1.0+, we can use the pipe operator (|>) to chain operations.
Basically, (|>) takes the left-hand side (lhs) object and passes it as the first argument in the right-hand side (rhs) function.
Piping operations
Why is this useful? Because we can chain intermediate steps in data analysis.
For example:
- Take
flightsand pass it as the first argument ingroup_by(). - Group the data based on the
carriercolumn. - Summarise the data to calculate the average departure delay.
- Take
Piping operations
# A tibble: 16 × 3
carrier average_departure_delay n
<chr> <dbl> <int>
1 9E 16.7 18460
2 AA 8.59 32729
3 AS 5.80 714
4 B6 13.0 54635
5 DL 9.26 48110
6 EV 20.0 54173
7 F9 20.2 685
8 FL 18.7 3260
9 HA 4.90 342
10 MQ 10.6 26397
11 OO 12.6 32
12 UA 12.1 58665
13 US 3.78 20536
14 VX 12.9 5162
15 WN 17.7 12275
16 YV 19.0 601Piping operations
By default, the pipe operator passes the lhs object as the first parameter in the rhs function. We can control this behaviour using the “_” placeholder.
For example,
rnorm(n, mean = 0, sd = 1)has three arguments.
Joining tables
Joining tables
Data are rarely stored in a single data frame or a single file.
Good database practices recommend having similar data in separate tables.
Joins are used to merge data frame together.
*_join(<dataframe>, <dataframe>)
Understanding joins
Understanding joins
Suppose that we have two data frames: sites and measurements.
| The sites table contains information where about sampling locations | ||
| site_id | latitude | longitude |
|---|---|---|
| Site A | 45.5231 | -122.6765 |
| Site B | 46.1234 | -123.4567 |
| Site C | 47.3456 | -124.5678 |
| The measurements table contains temperature measurements | ||
| site_name | temperature | date |
|---|---|---|
| Site A | 20.5 | 2020-01-01 |
| Site A | 21.3 | 2020-01-02 |
| Site B | 18.9 | 2020-02-01 |
Understanding joins
If you want to follow along, you can read the toy data as this:
Left joins
If we try to join sites and measurements together, we get the following error.
Error in `left_join()`:
! `by` must be supplied when `x` and `y` have no common variables.
ℹ Use `cross_join()` to perform a cross-join.Good practice
The *_join() family functions will try to automatically join tables using columns with the same names. However, it is of good practice to be explicit on which columns to use with the by argument.
Left joins
We can specify the columns to use for the join with the
byargument.The following code says:
Use the site_id column in sites and the site_name column in measurements to join both tables together.
Inner joins
An inner_join() keeps only the observations that match between the tables.
Full joins
A full_join() keeps all the observations contained in the tables. NA will be used as a fill value when there are no matches.
Anti joins
An anti-join() finds all observations that have no match between tables. The next block of code says:
find all observations in sites that have no match in measurements
Anti joins
If we inverse the order of the data frames, we get a different result. The next block of code says:
find all observations in measurements that have no match in sites
Inequality and rolling joins
So far, we have joined tables on the exact match: both tables need to have columns sharing the same value.
Inequality and rolling joins
So far, we have joined tables on the exact match: both tables need to have columns sharing the same value.
Now, consider these two data frames to merge using the depth_m column.
What will happen if I try to join them?
Inequality joins
Joining these table is not working because there are no values of depth_m that match between df_temperature and df_o2
Inequality joins
Because there are no exact matches in the depth_m column, we can use an inequality join with the join_by() function.
# A tibble: 3 × 4
depth_m.x chla depth_m.y doxy
<dbl> <dbl> <dbl> <dbl>
1 1.1 0.1 1.12 200
2 1.1 0.1 1.2 250
3 1.4 0.3 NA NAThe previous bloc of code says:
left join df_temperature and df_o2 where depth_m in df_temperature is smaller or equal to depth_m in df_o2
Inequality joins
Note that there are two rows in df_o2 that match the specified condition. This is why we end up with three rows after joining.
Rolling joins
Instead of using an inequality join, we can try a rolling join. This type of join limits the results returned from an inequality join condition and uses the closest() function.
# A tibble: 2 × 4
depth_m.x chla depth_m.y doxy
<dbl> <dbl> <dbl> <dbl>
1 1.1 0.1 1.12 200
2 1.4 0.3 NA NAThe previous bloc of code says:
left join df_temperature and df_o2 where depth_m in df_temperature is smaller or equal to depth_m in df_o2 but only keep the closest match
Questions?
Time to practice
1 - Work on your data
2 - SQL Murder Mystery: https://mystery.knightlab.com/
SQL Murder Mystery
Photo by Matt Popovich on Unsplash
SQL Murder Mystery
There’s been a Murder in SQL City! The SQL Murder Mystery is designed to be both a self-directed lesson to learn SQL concepts and commands and a fun game for experienced SQL users to solve an intriguing crime https://mystery.knightlab.com/.
SQL Murder Mystery
A crime has taken place and the detective needs your help.
The detective gave you the crime scene report, but you somehow lost it.
You vaguely remember that the crime was a murder that occurred sometime on Jan.15, 2018 and that it took place in SQL City.
Start by retrieving the corresponding crime scene report from the police department’s database.
SQL Murder Mystery
There are several files (tables) with all the information you need to find the murderer.
data/sql_murder_mystery/
├── crime_scene_report.csv
├── drivers_license.csv
├── facebook_event_checkin.csv
├── get_fit_now_check_in.csv
├── get_fit_now_member.csv
├── income.csv
├── interview.csv
├── person.csv
└── solution.csvYou can download a with all the files here:
SQL Murder Mystery
If you are using RStudio in the cloud, all files are already included in the data/sql_murder_mystery/ folder.
SQL Murder Mystery
Entity-relationship (ER) diagram of the SQL murder tables
SQL Murder Mystery
Your challenges consist in:
Find the murderer
Find who commissioned the murder
Getting started
Open the file crime_scene_report.csv and search for a murder that occurred on January 15 of 2018 in the SQL City. From there, conduct your investigation!