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.
# Load the readxl package library(readxl) # Read the first sheet in a file mydata <- read_excel("/path/to/myfile.xls") # Read the third sheet in a file mydata <- read_excel("/path/to/myfile.xlsx", sheet = 3) # Read the sheet named "data" mydata <- read_excel("/path/to/myfile.xlsx", sheet = "data")# Load the readxl package library(readxl) # Read the first sheet in a file mydata <- read_excel("/path/to/myfile.xls") # Read the third sheet in a file mydata <- read_excel("/path/to/myfile.xlsx", sheet = 3) # Read the sheet named "data" mydata <- read_excel("/path/to/myfile.xlsx", sheet = "data")# Load the readxl package library(readxl) # Read the first sheet in a file mydata <- read_excel("/path/to/myfile.xls") # Read the third sheet in a file mydata <- read_excel("/path/to/myfile.xlsx", sheet = 3) # Read the sheet named "data" mydata <- read_excel("/path/to/myfile.xlsx", sheet = "data")# Load the readxl package library(readxl) # Read the first sheet in a file mydata <- read_excel("/path/to/myfile.xls") # Read the third sheet in a file mydata <- read_excel("/path/to/myfile.xlsx", sheet = 3) # Read the sheet named "data" mydata <- read_excel("/path/to/myfile.xlsx", sheet = "data")
Reading CSV files
To read CSV files, we can use read_csv() from the readr package.
# Load the readr package library(readr) # If the column delimiter is "," mydata <- read_csv("/path/to/myfile.csv") # If the column delimiter is ";" mydata <- read_csv2("/path/to/myfile.csv") # Read only the first 100 rows mydata <- read_csv("/path/to/myfile.csv", n_max = 100)# Load the readr package library(readr) # If the column delimiter is "," mydata <- read_csv("/path/to/myfile.csv") # If the column delimiter is ";" mydata <- read_csv2("/path/to/myfile.csv") # Read only the first 100 rows mydata <- read_csv("/path/to/myfile.csv", n_max = 100)# Load the readr package library(readr) # If the column delimiter is "," mydata <- read_csv("/path/to/myfile.csv") # If the column delimiter is ";" mydata <- read_csv2("/path/to/myfile.csv") # Read only the first 100 rows mydata <- read_csv("/path/to/myfile.csv", n_max = 100)# Load the readr package library(readr) # If the column delimiter is "," mydata <- read_csv("/path/to/myfile.csv") # If the column delimiter is ";" mydata <- read_csv2("/path/to/myfile.csv") # Read only the first 100 rows mydata <- read_csv("/path/to/myfile.csv", n_max = 100)
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
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470 1880 Elmo 0.000127 boy
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473 1880 Hector 0.000127 boy
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478 1880 Squire 0.000127 boy
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484 1880 Alton 0.000118 boy
485 1880 Andres 0.000118 boy
486 1880 Burl 0.000118 boy
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491 1880 Howell 0.000118 boy
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493 1880 Loyd 0.000118 boy
494 1880 Mahlon 0.000118 boy
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497 1880 Oran 0.000118 boy
498 1880 Parker 0.000118 boy
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500 1880 Reginald 0.000118 boy
501 1880 Rubin 0.000118 boy
502 1880 Seymour 0.000118 boy
503 1880 Wm 0.000118 boy
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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
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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
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523 1880 West 0.000110 boy
524 1880 Wheeler 0.000110 boy
525 1880 Willam 0.000110 boy
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527 1880 Aloysius 0.000101 boy
528 1880 Alvie 0.000101 boy
529 1880 Anna 0.000101 boy
530 1880 Art 0.000101 boy
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533 1880 Benjaman 0.000101 boy
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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
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542 1880 Emile 0.000101 boy
543 1880 Evert 0.000101 boy
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550 1880 Maynard 0.000101 boy
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552 1880 Mortimer 0.000101 boy
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564 1880 Travis 0.000101 boy
565 1880 Truman 0.000101 boy
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567 1880 Webb 0.000101 boy
568 1880 Wellington 0.000101 boy
569 1880 Winfred 0.000101 boy
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578 1880 Colonel 0.000093 boy
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586 1880 Gerald 0.000093 boy
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588 1880 Hezekiah 0.000093 boy
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591 1880 Marcellus 0.000093 boy
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598 1880 Volney 0.000093 boy
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601 1880 Alois 0.000084 boy
602 1880 Alonza 0.000084 boy
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617 1880 Haywood 0.000084 boy
618 1880 Hilliard 0.000084 boy
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622 1880 Lucious 0.000084 boy
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627 1880 Orie 0.000084 boy
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643 1880 Avery 0.000076 boy
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647 1880 Eben 0.000076 boy
648 1880 Elige 0.000076 boy
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650 1880 Elmore 0.000076 boy
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657 1880 Hermann 0.000076 boy
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661 1880 June 0.000076 boy
662 1880 Lacy 0.000076 boy
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665 1880 Llewellyn 0.000076 boy
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671 1880 Octave 0.000076 boy
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951 1880 Eliseo 0.000042 boy
952 1880 Elroy 0.000042 boy
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1105 1881 Rufus 0.001117 boy
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1912 1881 Emry 0.000046 boy
1913 1881 Ephram 0.000046 boy
1914 1881 Esequiel 0.000046 boy
1915 1881 Essie 0.000046 boy
1916 1881 Esta 0.000046 boy
1917 1881 Ethel 0.000046 boy
1918 1881 Evertt 0.000046 boy
1919 1881 Fayette 0.000046 boy
1920 1881 Flem 0.000046 boy
1921 1881 Fleming 0.000046 boy
1922 1881 Gabe 0.000046 boy
1923 1881 Garner 0.000046 boy
1924 1881 Garnett 0.000046 boy
1925 1881 Golden 0.000046 boy
1926 1881 Graham 0.000046 boy
1927 1881 Gregg 0.000046 boy
1928 1881 Gustaf 0.000046 boy
1929 1881 Gustavus 0.000046 boy
1930 1881 Halbert 0.000046 boy
1931 1881 Hardie 0.000046 boy
1932 1881 Hardin 0.000046 boy
1933 1881 Harvie 0.000046 boy
1934 1881 Harvy 0.000046 boy
1935 1881 Hayes 0.000046 boy
1936 1881 Hilliard 0.000046 boy
1937 1881 Hollis 0.000046 boy
1938 1881 Hubbard 0.000046 boy
1939 1881 Hudson 0.000046 boy
1940 1881 Ida 0.000046 boy
1941 1881 Jared 0.000046 boy
1942 1881 Jere 0.000046 boy
1943 1881 Joesph 0.000046 boy
1944 1881 Johnathan 0.000046 boy
1945 1881 Jonah 0.000046 boy
1946 1881 Julious 0.000046 boy
1947 1881 Juluis 0.000046 boy
1948 1881 Justus 0.000046 boy
1949 1881 Kirby 0.000046 boy
1950 1881 Kyle 0.000046 boy
1951 1881 Lane 0.000046 boy
1952 1881 Lawerence 0.000046 boy
1953 1881 Layton 0.000046 boy
1954 1881 Less 0.000046 boy
1955 1881 Lincoln 0.000046 boy
1956 1881 Linwood 0.000046 boy
1957 1881 Louise 0.000046 boy
1958 1881 Lowell 0.000046 boy
1959 1881 Loy 0.000046 boy
1960 1881 Lucy 0.000046 boy
1961 1881 Malachi 0.000046 boy
1962 1881 Manly 0.000046 boy
1963 1881 Mannie 0.000046 boy
1964 1881 Marcel 0.000046 boy
1965 1881 Marius 0.000046 boy
1966 1881 Marrion 0.000046 boy
1967 1881 Math 0.000046 boy
1968 1881 Mercer 0.000046 boy
1969 1881 Monte 0.000046 boy
1970 1881 Montgomery 0.000046 boy
1971 1881 Nolan 0.000046 boy
1972 1881 Okey 0.000046 boy
1973 1881 Orley 0.000046 boy
1974 1881 Page 0.000046 boy
1975 1881 Philo 0.000046 boy
1976 1881 Primus 0.000046 boy
1977 1881 Prosper 0.000046 boy
1978 1881 Pryor 0.000046 boy
1979 1881 Rene 0.000046 boy
1980 1881 Robin 0.000046 boy
1981 1881 Roll 0.000046 boy
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
2024 1882 Andrew 0.005515 boy
2025 1882 Will 0.005457 boy
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2031 1882 Willie 0.004433 boy
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2071 1882 Ira 0.001999 boy
2072 1882 Oliver 0.001999 boy
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2074 1882 August 0.001917 boy
2075 1882 Theodore 0.001901 boy
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2077 1882 Leonard 0.001893 boy
2078 1882 Raymond 0.001885 boy
2079 1882 Alexander 0.001844 boy
2080 1882 Allen 0.001688 boy
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2082 1882 Archie 0.001598 boy
2083 1882 Ray 0.001598 boy
2084 1882 Jessie 0.001573 boy
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2088 1882 Horace 0.001442 boy
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2093 1882 Marion 0.001287 boy
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2095 1882 Milton 0.001270 boy
2096 1882 Leroy 0.001246 boy
2097 1882 Dan 0.001229 boy
2098 1882 Rufus 0.001205 boy
2099 1882 Leo 0.001196 boy
2100 1882 Sidney 0.001196 boy
2101 1882 Mack 0.001188 boy
2102 1882 Wesley 0.001188 boy
2103 1882 Bernard 0.001180 boy
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2106 1882 Dave 0.001139 boy
2107 1882 Everett 0.001131 boy
2108 1882 Dennis 0.001106 boy
2109 1882 Amos 0.001098 boy
2110 1882 Lester 0.001098 boy
2111 1882 Alonzo 0.001090 boy
2112 1882 Perry 0.001090 boy
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2116 1882 Percy 0.001032 boy
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2118 1882 Jess 0.001000 boy
2119 1882 Leslie 0.001000 boy
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2121 1882 Gus 0.000983 boy
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2125 1882 Franklin 0.000918 boy
2126 1882 Elijah 0.000910 boy
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2128 1882 Victor 0.000893 boy
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2130 1882 Cornelius 0.000877 boy
2131 1882 Norman 0.000877 boy
2132 1882 Jerry 0.000860 boy
2133 1882 Levi 0.000860 boy
2134 1882 Earnest 0.000852 boy
2135 1882 Hiram 0.000852 boy
2136 1882 Nelson 0.000852 boy
2137 1882 Phillip 0.000844 boy
2138 1882 Wallace 0.000844 boy
2139 1882 Maurice 0.000836 boy
2140 1882 Elbert 0.000811 boy
2141 1882 Emmett 0.000811 boy
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2143 1882 Ross 0.000787 boy
2144 1882 Jose 0.000778 boy
2145 1882 Adolph 0.000770 boy
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2147 1882 Moses 0.000762 boy
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2156 1882 Mike 0.000729 boy
2157 1882 Gilbert 0.000721 boy
2158 1882 Jasper 0.000721 boy
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2162 1882 Alva 0.000697 boy
2163 1882 Marshall 0.000680 boy
2164 1882 Willard 0.000680 boy
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2166 1882 Jeff 0.000664 boy
2167 1882 Morris 0.000664 boy
2168 1882 Roscoe 0.000664 boy
2169 1882 Wilbur 0.000664 boy
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2171 1882 Virgil 0.000656 boy
2172 1882 Clinton 0.000647 boy
2173 1882 Lonnie 0.000639 boy
2174 1882 Ollie 0.000639 boy
2175 1882 Simon 0.000639 boy
2176 1882 Mose 0.000631 boy
2177 1882 Fredrick 0.000623 boy
2178 1882 Harrison 0.000623 boy
2179 1882 Monroe 0.000623 boy
2180 1882 Stanley 0.000623 boy
2181 1882 Harley 0.000615 boy
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2183 1882 Sylvester 0.000606 boy
2184 1882 Reuben 0.000598 boy
2185 1882 Russell 0.000598 boy
2186 1882 Edmund 0.000582 boy
2187 1882 Timothy 0.000582 boy
2188 1882 Curtis 0.000574 boy
2189 1882 Millard 0.000574 boy
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2191 1882 Ike 0.000549 boy
2192 1882 Ora 0.000549 boy
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2194 1882 Byron 0.000541 boy
2195 1882 Irvin 0.000541 boy
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2197 1882 Augustus 0.000533 boy
2198 1882 Austin 0.000533 boy
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2200 1882 Anton 0.000524 boy
2201 1882 Marvin 0.000524 boy
2202 1882 Wade 0.000524 boy
2203 1882 Edd 0.000516 boy
2204 1882 Steve 0.000516 boy
2205 1882 Asa 0.000508 boy
2206 1882 Columbus 0.000508 boy
2207 1882 Bill 0.000500 boy
2208 1882 Irving 0.000500 boy
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2210 1882 Clayton 0.000492 boy
2211 1882 Pete 0.000492 boy
2212 1882 Bob 0.000483 boy
2213 1882 Dock 0.000483 boy
2214 1882 Johnnie 0.000483 boy
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2216 1882 Pearl 0.000475 boy
2217 1882 Elias 0.000467 boy
2218 1882 Gustave 0.000467 boy
2219 1882 Nathaniel 0.000467 boy
2220 1882 Grover 0.000459 boy
2221 1882 Arch 0.000451 boy
2222 1882 Clark 0.000442 boy
2223 1882 Joel 0.000442 boy
2224 1882 Riley 0.000442 boy
2225 1882 Cecil 0.000434 boy
2226 1882 Emery 0.000434 boy
2227 1882 Vernon 0.000434 boy
2228 1882 Barney 0.000426 boy
2229 1882 Lon 0.000426 boy
2230 1882 Rudolph 0.000426 boy
2231 1882 Andy 0.000418 boy
2232 1882 Clifton 0.000418 boy
2233 1882 Glenn 0.000418 boy
2234 1882 Solomon 0.000418 boy
2235 1882 Abe 0.000410 boy
2236 1882 Joshua 0.000410 boy
2237 1882 Sherman 0.000410 boy
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2239 1882 Hubert 0.000402 boy
2240 1882 Jackson 0.000402 boy
2241 1882 Preston 0.000402 boy
2242 1882 Donald 0.000393 boy
2243 1882 Ferdinand 0.000393 boy
2244 1882 Scott 0.000393 boy
2245 1882 Conrad 0.000385 boy
2246 1882 Enoch 0.000385 boy
2247 1882 Mathew 0.000385 boy
2248 1882 Chas 0.000377 boy
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
2255 1882 Tony 0.000377 boy
2256 1882 Van 0.000377 boy
2257 1882 Emanuel 0.000369 boy
2258 1882 Ervin 0.000361 boy
2259 1882 Luke 0.000361 boy
2260 1882 Major 0.000361 boy
2261 1882 Miles 0.000361 boy
2262 1882 Gustav 0.000352 boy
2263 1882 Jerome 0.000352 boy
2264 1882 Lemuel 0.000352 boy
2265 1882 Arnold 0.000344 boy
2266 1882 Lucius 0.000344 boy
2267 1882 Ezra 0.000336 boy
2268 1882 Grant 0.000336 boy
2269 1882 Julian 0.000336 boy
2270 1882 Lorenzo 0.000336 boy
2271 1882 Lyman 0.000336 boy
2272 1882 Karl 0.000328 boy
2273 1882 Chris 0.000320 boy
2274 1882 Edmond 0.000320 boy
2275 1882 Juan 0.000320 boy
2276 1882 Winfield 0.000320 boy
2277 1882 Ambrose 0.000311 boy
2278 1882 Burton 0.000311 boy
2279 1882 Emory 0.000311 boy
2280 1882 Forrest 0.000311 boy
2281 1882 Roland 0.000311 boy
2282 1882 Vincent 0.000311 boy
2283 1882 Emile 0.000303 boy
2284 1882 Gordon 0.000303 boy
2285 1882 Isaiah 0.000303 boy
2286 1882 Mitchell 0.000295 boy
2287 1882 Ole 0.000295 boy
2288 1882 Benjiman 0.000287 boy
2289 1882 Cleveland 0.000287 boy
2290 1882 Elisha 0.000287 boy
2291 1882 Loren 0.000287 boy
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2294 1882 Clem 0.000279 boy
2295 1882 Foster 0.000279 boy
2296 1882 Jefferson 0.000279 boy
2297 1882 Ruben 0.000279 boy
2298 1882 Al 0.000270 boy
2299 1882 Bennie 0.000270 boy
2300 1882 Bud 0.000270 boy
2301 1882 General 0.000270 boy
2302 1882 Jeremiah 0.000270 boy
2303 1882 Ned 0.000270 boy
2304 1882 Sanford 0.000270 boy
2305 1882 Sim 0.000270 boy
2306 1882 Spencer 0.000270 boy
2307 1882 Abner 0.000262 boy
2308 1882 Carroll 0.000262 boy
2309 1882 Douglas 0.000262 boy
2310 1882 Roger 0.000262 boy
2311 1882 Burt 0.000254 boy
2312 1882 Seth 0.000254 boy
2313 1882 Archibald 0.000246 boy
2314 1882 Elwood 0.000246 boy
2315 1882 Mary 0.000246 boy
2316 1882 Omer 0.000246 boy
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2321 1882 Napoleon 0.000238 boy
2322 1882 Wilber 0.000238 boy
2323 1882 Zack 0.000238 boy
2324 1882 Dudley 0.000229 boy
2325 1882 Isiah 0.000229 boy
2326 1882 Leander 0.000229 boy
2327 1882 Pat 0.000229 boy
2328 1882 Pink 0.000229 boy
2329 1882 Porter 0.000229 boy
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2343 1882 Milo 0.000221 boy
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2348 1882 Hardy 0.000213 boy
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2352 1882 Myron 0.000213 boy
2353 1882 Nels 0.000213 boy
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2356 1882 Caleb 0.000205 boy
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2373 1882 Judson 0.000188 boy
2374 1882 Junius 0.000188 boy
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2379 1882 Emmet 0.000180 boy
2380 1882 Harve 0.000180 boy
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2382 1882 Johnie 0.000180 boy
2383 1882 Kenneth 0.000180 boy
2384 1882 Lige 0.000180 boy
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2400 1882 Carlos 0.000164 boy
2401 1882 Clarance 0.000164 boy
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2407 1882 Jimmie 0.000164 boy
2408 1882 Judge 0.000164 boy
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4753 1884 Tobias 0.000065 boy
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4800 1884 Ethel 0.000057 boy
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4804 1884 Gardner 0.000057 boy
4805 1884 Gaston 0.000057 boy
4806 1884 Griffin 0.000057 boy
4807 1884 Guadalupe 0.000057 boy
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4811 1884 Hermon 0.000057 boy
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4831 1884 Price 0.000057 boy
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4833 1884 Ruffus 0.000057 boy
4834 1884 Sheldon 0.000057 boy
4835 1884 Shelton 0.000057 boy
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4837 1884 Stafford 0.000057 boy
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4841 1884 Thurston 0.000057 boy
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4843 1884 Wayman 0.000057 boy
4844 1884 Weldon 0.000057 boy
4845 1884 Wes 0.000057 boy
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4852 1884 Alphonsus 0.000049 boy
4853 1884 Alvis 0.000049 boy
4854 1884 Ancel 0.000049 boy
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4879 1884 Dillard 0.000049 boy
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4882 1884 Dozier 0.000049 boy
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4921 1884 Larkin 0.000049 boy
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4931 1884 Miner 0.000049 boy
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4936 1884 Ocie 0.000049 boy
4937 1884 Oda 0.000049 boy
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4939 1884 Odis 0.000049 boy
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4944 1884 Osborn 0.000049 boy
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4946 1884 Ossie 0.000049 boy
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4948 1884 Percival 0.000049 boy
4949 1884 Pleasant 0.000049 boy
4950 1884 Prentice 0.000049 boy
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4952 1884 Reece 0.000049 boy
4953 1884 Roby 0.000049 boy
4954 1884 Sarah 0.000049 boy
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4956 1884 Shep 0.000049 boy
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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
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4978 1884 Alvy 0.000041 boy
4979 1884 Bayard 0.000041 boy
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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
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4991 1884 Burgess 0.000041 boy
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5020 1885 Grover 0.006624 boy
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5027 1885 Will 0.005390 boy
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5029 1885 Willie 0.005296 boy
5030 1885 Andrew 0.005166 boy
5031 1885 Jesse 0.004795 boy
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5034 1885 Carl 0.004261 boy
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5037 1885 Frederick 0.004019 boy
5038 1885 Benjamin 0.004002 boy
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5040 1885 Elmer 0.003821 boy
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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
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5050 1885 Lee 0.003001 boy
5051 1885 Eugene 0.002975 boy
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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
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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
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5380 1885 Arther 0.000190 boy
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5395 1885 Randolph 0.000181 boy
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5399 1885 Anna 0.000172 boy
5400 1885 Blaine 0.000172 boy
5401 1885 Burt 0.000172 boy
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5412 1885 Allie 0.000164 boy
5413 1885 Bertram 0.000164 boy
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5415 1885 Dewitt 0.000164 boy
5416 1885 Emile 0.000164 boy
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5418 1885 Harmon 0.000164 boy
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5420 1885 Merritt 0.000164 boy
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5426 1885 Elmore 0.000155 boy
5427 1885 Fay 0.000155 boy
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5433 1885 Omer 0.000155 boy
5434 1885 Otho 0.000155 boy
5435 1885 Ramon 0.000155 boy
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5437 1885 Troy 0.000155 boy
5438 1885 Wash 0.000155 boy
5439 1885 Abram 0.000147 boy
5440 1885 Addison 0.000147 boy
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5445 1885 Elzie 0.000147 boy
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5448 1885 Gerhard 0.000147 boy
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5450 1885 Issac 0.000147 boy
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5453 1885 Josiah 0.000147 boy
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5455 1885 Orval 0.000147 boy
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5457 1885 Shirley 0.000147 boy
5458 1885 Tomas 0.000147 boy
5459 1885 Truman 0.000147 boy
5460 1885 Waldo 0.000147 boy
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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
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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
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5485 1885 Early 0.000129 boy
5486 1885 Elza 0.000129 boy
5487 1885 Erastus 0.000129 boy
5488 1885 Giles 0.000129 boy
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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
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5505 1885 Dell 0.000121 boy
5506 1885 Dolphus 0.000121 boy
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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
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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
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5607 1885 Alma 0.000086 boy
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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
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5643 1885 Angelo 0.000078 boy
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5645 1885 Anson 0.000078 boy
5646 1885 Arley 0.000078 boy
5647 1885 Arlie 0.000078 boy
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5649 1885 Benny 0.000078 boy
5650 1885 Bradley 0.000078 boy
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5660 1885 Elige 0.000078 boy
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5664 1885 Ford 0.000078 boy
5665 1885 Garrett 0.000078 boy
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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
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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
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5685 1885 Reece 0.000078 boy
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5688 1885 Rose 0.000078 boy
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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
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5705 1885 Baxter 0.000069 boy
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5711 1885 Claire 0.000069 boy
5712 1885 Clare 0.000069 boy
5713 1885 Cleo 0.000069 boy
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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
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5774 1885 Burney 0.000060 boy
5775 1885 Burrell 0.000060 boy
5776 1885 Cassius 0.000060 boy
5777 1885 Clemens 0.000060 boy
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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
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5793 1885 Garner 0.000060 boy
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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
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9595 1889 Crawford 0.000092 boy
9596 1889 Eldon 0.000092 boy
9597 1889 Elliott 0.000092 boy
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9599 1889 Ferd 0.000092 boy
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9601 1889 Guss 0.000092 boy
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9610 1889 Maxwell 0.000092 boy
9611 1889 Maynard 0.000092 boy
9612 1889 Mont 0.000092 boy
9613 1889 Omar 0.000092 boy
9614 1889 Otha 0.000092 boy
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9617 1889 Price 0.000092 boy
9618 1889 Raphael 0.000092 boy
9619 1889 Ronald 0.000092 boy
9620 1889 Rose 0.000092 boy
9621 1889 Rupert 0.000092 boy
9622 1889 Russel 0.000092 boy
9623 1889 Shelby 0.000092 boy
9624 1889 Theron 0.000092 boy
9625 1889 Tobe 0.000092 boy
9626 1889 Wilburn 0.000092 boy
9627 1889 Wilford 0.000092 boy
9628 1889 Wylie 0.000092 boy
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9631 1889 Alden 0.000084 boy
9632 1889 Alford 0.000084 boy
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9634 1889 Bartholomew 0.000084 boy
9635 1889 Bernhard 0.000084 boy
9636 1889 Bishop 0.000084 boy
9637 1889 Dolphus 0.000084 boy
9638 1889 Egbert 0.000084 boy
9639 1889 Elwin 0.000084 boy
9640 1889 Emma 0.000084 boy
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9647 1889 Hollis 0.000084 boy
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9650 1889 Ivory 0.000084 boy
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9660 1889 Ola 0.000084 boy
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9664 1889 Rowland 0.000084 boy
9665 1889 Seymour 0.000084 boy
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9667 1889 Thaddeus 0.000084 boy
9668 1889 Tillman 0.000084 boy
9669 1889 Tobias 0.000084 boy
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9675 1889 Alonza 0.000076 boy
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9680 1889 Bonnie 0.000076 boy
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9685 1889 Colonel 0.000076 boy
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9688 1889 Eber 0.000076 boy
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9700 1889 Jodie 0.000076 boy
9701 1889 Lennie 0.000076 boy
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9705 1889 May 0.000076 boy
9706 1889 Merrill 0.000076 boy
9707 1889 Mervin 0.000076 boy
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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
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9720 1889 Willam 0.000076 boy
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9725 1889 Algie 0.000067 boy
9726 1889 Andres 0.000067 boy
9727 1889 Arther 0.000067 boy
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9729 1889 Augustine 0.000067 boy
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9736 1889 Effie 0.000067 boy
9737 1889 Eldridge 0.000067 boy
9738 1889 Elzie 0.000067 boy
9739 1889 Ennis 0.000067 boy
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9741 1889 Fredric 0.000067 boy
9742 1889 Gerhard 0.000067 boy
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9744 1889 Hazel 0.000067 boy
9745 1889 Heber 0.000067 boy
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9747 1889 Hermon 0.000067 boy
9748 1889 Hilliard 0.000067 boy
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9750 1889 Humphrey 0.000067 boy
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9760 1889 Mahlon 0.000067 boy
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9764 1889 Micheal 0.000067 boy
9765 1889 Miguel 0.000067 boy
9766 1889 Milford 0.000067 boy
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9768 1889 Nellie 0.000067 boy
9769 1889 Norbert 0.000067 boy
9770 1889 Oakley 0.000067 boy
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9775 1889 Rafael 0.000067 boy
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9780 1889 Sid 0.000067 boy
9781 1889 Son 0.000067 boy
9782 1889 Thad 0.000067 boy
9783 1889 Theo 0.000067 boy
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9790 1889 Adelard 0.000059 boy
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9795 1889 Allison 0.000059 boy
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9799 1889 Bartley 0.000059 boy
9800 1889 Baxter 0.000059 boy
9801 1889 Benedict 0.000059 boy
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9811 1889 Clarance 0.000059 boy
9812 1889 Cleo 0.000059 boy
9813 1889 Collins 0.000059 boy
9814 1889 Commodore 0.000059 boy
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9818 1889 Dexter 0.000059 boy
9819 1889 Doss 0.000059 boy
9820 1889 Eben 0.000059 boy
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9822 1889 Edmon 0.000059 boy
9823 1889 Elgin 0.000059 boy
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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
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9838 1889 Gray 0.000059 boy
9839 1889 Griffin 0.000059 boy
9840 1889 Hayward 0.000059 boy
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9844 1889 Jewel 0.000059 boy
9845 1889 Jewell 0.000059 boy
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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
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9853 1889 Linwood 0.000059 boy
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9860 1889 Newman 0.000059 boy
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9862 1889 Ocie 0.000059 boy
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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
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9875 1889 Werner 0.000059 boy
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9877 1889 Winston 0.000059 boy
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9880 1889 Almon 0.000050 boy
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9890 1889 Callie 0.000050 boy
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9895 1889 Coley 0.000050 boy
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9907 1889 Eldred 0.000050 boy
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9925 1889 Hjalmar 0.000050 boy
9926 1889 Hjalmer 0.000050 boy
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9929 1889 Joesph 0.000050 boy
9930 1889 Josephine 0.000050 boy
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9932 1889 Knute 0.000050 boy
9933 1889 Lawton 0.000050 boy
9934 1889 Len 0.000050 boy
9935 1889 Leonce 0.000050 boy
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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
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9950 1889 Ossie 0.000050 boy
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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
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9967 1889 Vester 0.000050 boy
9968 1889 Virgle 0.000050 boy
9969 1889 Waverly 0.000050 boy
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9971 1889 Williams 0.000050 boy
9972 1889 Winford 0.000050 boy
9973 1889 Wright 0.000050 boy
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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
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9989 1889 Boone 0.000042 boy
9990 1889 Bradford 0.000042 boy
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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
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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
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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
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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
10405 1890 Anna 0.000167 boy
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
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14501 1894 Waldo 0.000136 boy
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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
14519 1894 Stuart 0.000128 boy
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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15028 1895 Joe 0.006024 boy
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15044 1895 Will 0.003829 boy
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15060 1895 Edwin 0.002732 boy
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15064 1895 Edgar 0.002550 boy
15065 1895 Martin 0.002503 boy
15066 1895 Russell 0.002377 boy
15067 1895 Homer 0.002337 boy
15068 1895 Lester 0.002329 boy
15069 1895 Otto 0.002234 boy
15070 1895 Harvey 0.002227 boy
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15075 1895 Lloyd 0.002077 boy
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15079 1895 Jessie 0.001934 boy
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15089 1895 Archie 0.001674 boy
15090 1895 Horace 0.001666 boy
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15094 1895 Everett 0.001634 boy
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15099 1895 Victor 0.001548 boy
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15169 1895 Clifton 0.000726 boy
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15177 1895 Ollie 0.000711 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
15218 1895 Anton 0.000497 boy
15219 1895 Monroe 0.000497 boy
15220 1895 Fredrick 0.000490 boy
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15224 1895 Douglas 0.000482 boy
15225 1895 Juan 0.000482 boy
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15227 1895 Christopher 0.000474 boy
15228 1895 Timothy 0.000474 boy
15229 1895 Grady 0.000466 boy
15230 1895 Jerome 0.000458 boy
15231 1895 Johnie 0.000458 boy
15232 1895 Laurence 0.000458 boy
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22295 1902 Fredrick 0.000316 boy
22296 1902 Hiram 0.000316 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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22377 1902 Neil 0.000211 boy
22378 1902 Sanford 0.000211 boy
22379 1902 Stewart 0.000211 boy
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22381 1902 Chas 0.000203 boy
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22383 1902 Hollis 0.000203 boy
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22399 1902 Lon 0.000196 boy
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
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22407 1902 Hosea 0.000188 boy
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22413 1902 Wilmer 0.000188 boy
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22425 1902 Theo 0.000181 boy
22426 1902 Alfonso 0.000173 boy
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22428 1902 Elzie 0.000173 boy
22429 1902 Florence 0.000173 boy
22430 1902 Gabriel 0.000173 boy
22431 1902 Irwin 0.000173 boy
22432 1902 Junius 0.000173 boy
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22434 1902 Napoleon 0.000173 boy
22435 1902 Phil 0.000173 boy
22436 1902 Roman 0.000173 boy
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
22446 1902 Jonathan 0.000166 boy
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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22461 1902 Aloysius 0.000158 boy
22462 1902 Asa 0.000158 boy
22463 1902 Dudley 0.000158 boy
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
22469 1902 Miguel 0.000158 boy
22470 1902 Pablo 0.000158 boy
22471 1902 Prince 0.000158 boy
22472 1902 Reed 0.000158 boy
22473 1902 Sammie 0.000158 boy
22474 1902 Ulysses 0.000158 boy
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22476 1902 Aron 0.000151 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
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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
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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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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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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
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22645 1902 Son 0.000098 boy
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22650 1902 Walton 0.000098 boy
22651 1902 Adolphus 0.000090 boy
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22660 1902 Delmer 0.000090 boy
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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
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22688 1902 Annie 0.000083 boy
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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
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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
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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
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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
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22799 1902 Baxter 0.000068 boy
22800 1902 Bertie 0.000068 boy
22801 1902 Bishop 0.000068 boy
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22805 1902 Carrol 0.000068 boy
22806 1902 Clarnce 0.000068 boy
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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
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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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22844 1902 Myrtle 0.000068 boy
22845 1902 Newt 0.000068 boy
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22847 1902 Ossie 0.000068 boy
22848 1902 Pleas 0.000068 boy
22849 1902 Quincy 0.000068 boy
22850 1902 Rueben 0.000068 boy
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22853 1902 Seymour 0.000068 boy
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22855 1902 Tobe 0.000068 boy
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22860 1902 Wardell 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
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22875 1902 Clara 0.000060 boy
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22877 1902 Dolphus 0.000060 boy
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22880 1902 Ernie 0.000060 boy
22881 1902 Eva 0.000060 boy
22882 1902 Ezekiel 0.000060 boy
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22890 1902 Hughie 0.000060 boy
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22895 1902 Lonie 0.000060 boy
22896 1902 Lorenza 0.000060 boy
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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
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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
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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
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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
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22943 1902 Bessie 0.000053 boy
22944 1902 Blanche 0.000053 boy
22945 1902 Brown 0.000053 boy
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22947 1902 Claire 0.000053 boy
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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
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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
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22985 1902 Linton 0.000053 boy
22986 1902 Lois 0.000053 boy
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23501 1903 Ruby 0.000147 boy
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23510 1903 Gabriel 0.000139 boy
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23544 1903 Obie 0.000131 boy
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23549 1903 Wilber 0.000131 boy
23550 1903 Benjiman 0.000124 boy
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23560 1903 Harlan 0.000124 boy
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23564 1903 Lucien 0.000124 boy
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23570 1903 Patsy 0.000124 boy
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23575 1903 Walton 0.000124 boy
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23579 1903 Bennett 0.000116 boy
23580 1903 Bessie 0.000116 boy
23581 1903 Cletus 0.000116 boy
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23588 1903 Hampton 0.000116 boy
23589 1903 Omar 0.000116 boy
23590 1903 Rene 0.000116 boy
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23595 1903 Abel 0.000108 boy
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23601 1903 Carson 0.000108 boy
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23618 1903 Weldon 0.000108 boy
23619 1903 Adolphus 0.000101 boy
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23625 1903 Avery 0.000101 boy
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23627 1903 Everette 0.000101 boy
23628 1903 Felipe 0.000101 boy
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23633 1903 Hayward 0.000101 boy
23634 1903 Isom 0.000101 boy
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23638 1903 Junius 0.000101 boy
23639 1903 Lafayette 0.000101 boy
23640 1903 Lucious 0.000101 boy
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23650 1903 Rodney 0.000101 boy
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23660 1903 Christ 0.000093 boy
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23664 1903 Curley 0.000093 boy
23665 1903 Delmer 0.000093 boy
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23667 1903 Eldridge 0.000093 boy
23668 1903 Elsie 0.000093 boy
23669 1903 Enos 0.000093 boy
23670 1903 Ewell 0.000093 boy
23671 1903 Gale 0.000093 boy
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23674 1903 Hoyt 0.000093 boy
23675 1903 Huey 0.000093 boy
23676 1903 Josephine 0.000093 boy
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23679 1903 Kermit 0.000093 boy
23680 1903 Lawson 0.000093 boy
23681 1903 Leander 0.000093 boy
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23684 1903 Lucian 0.000093 boy
23685 1903 Merritt 0.000093 boy
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24395 1904 Granville 0.000202 boy
24396 1904 Hollis 0.000202 boy
24397 1904 Isiah 0.000202 boy
24398 1904 Jimmy 0.000202 boy
24399 1904 Maynard 0.000202 boy
24400 1904 Sydney 0.000202 boy
24401 1904 Chris 0.000195 boy
24402 1904 Elliott 0.000195 boy
24403 1904 Elmo 0.000195 boy
24404 1904 Houston 0.000195 boy
24405 1904 Meyer 0.000195 boy
24406 1904 Porter 0.000195 boy
24407 1904 Theo 0.000195 boy
24408 1904 Vern 0.000195 boy
24409 1904 Chas 0.000188 boy
24410 1904 Eldon 0.000188 boy
24411 1904 Elias 0.000188 boy
24412 1904 Hugo 0.000188 boy
24413 1904 Hyman 0.000188 boy
24414 1904 Jean 0.000188 boy
24415 1904 Saul 0.000188 boy
24416 1904 Sol 0.000188 boy
24417 1904 Buford 0.000180 boy
24418 1904 Carter 0.000180 boy
24419 1904 Dominic 0.000180 boy
24420 1904 Elisha 0.000180 boy
24421 1904 Herschel 0.000180 boy
24422 1904 Isaiah 0.000180 boy
24423 1904 Jewel 0.000180 boy
24424 1904 Luis 0.000180 boy
24425 1904 Micheal 0.000180 boy
24426 1904 Norris 0.000180 boy
24427 1904 Parker 0.000180 boy
24428 1904 Steven 0.000180 boy
24429 1904 Waldo 0.000180 boy
24430 1904 Aloysius 0.000173 boy
24431 1904 Arther 0.000173 boy
24432 1904 Asa 0.000173 boy
24433 1904 Cliff 0.000173 boy
24434 1904 Davis 0.000173 boy
24435 1904 Dick 0.000173 boy
24436 1904 Early 0.000173 boy
24437 1904 Hazel 0.000173 boy
24438 1904 Jewell 0.000173 boy
24439 1904 Junius 0.000173 boy
24440 1904 King 0.000173 boy
24441 1904 Matt 0.000173 boy
24442 1904 Oren 0.000173 boy
24443 1904 Shirley 0.000173 boy
24444 1904 Conrad 0.000166 boy
24445 1904 Frances 0.000166 boy
24446 1904 General 0.000166 boy
24447 1904 Lawson 0.000166 boy
24448 1904 Otho 0.000166 boy
24449 1904 Roman 0.000166 boy
24450 1904 Verne 0.000166 boy
24451 1904 Wilton 0.000166 boy
24452 1904 Albin 0.000159 boy
24453 1904 Chauncey 0.000159 boy
24454 1904 Clarance 0.000159 boy
24455 1904 Coy 0.000159 boy
24456 1904 Cyrus 0.000159 boy
24457 1904 Enoch 0.000159 boy
24458 1904 Harmon 0.000159 boy
24459 1904 Haywood 0.000159 boy
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.
mutate( flights, distance_km = distance / 0.62137, .keep = "used" )mutate( flights, distance_km = distance / 0.62137, .keep = "used" )mutate( flights, distance_km = distance / 0.62137, .keep = "used" )mutate( flights, distance_km = distance / 0.62137, .keep = "used" )mutate( flights, distance_km = distance / 0.62137, .keep = "used" )
# A tibble: 336,776 × 2
distance distance_km
<dbl> <dbl>
1 1400 2253.
2 1416 2279.
3 1089 1753.
4 1576 2536.
5 762 1226.
6 719 1157.
7 1065 1714.
8 229 369.
9 944 1519.
10 733 1180.
# … with 336,766 more rowsThe 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" )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 )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.
summarise( weather, across(where(is.numeric), mean, na.rm = TRUE), n = n() )summarise( weather, across(where(is.numeric), mean, na.rm = TRUE), n = n() )
# 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.
# Group the data flights_grouped <- group_by(flights, carrier) # Do the calculation res <- summarise( flights_grouped, average_departure_delay = mean(dep_delay, na.rm = TRUE), n = n() )# Group the data flights_grouped <- group_by(flights, carrier) # Do the calculation res <- summarise( flights_grouped, average_departure_delay = mean(dep_delay, na.rm = TRUE), n = n() )# Group the data flights_grouped <- group_by(flights, carrier) # Do the calculation res <- summarise( flights_grouped, average_departure_delay = mean(dep_delay, na.rm = TRUE), n = n() )
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
flights |> # Take the flight data frame group_by(carrier) |> # Then group it by carrier summarise( # Then calculate the average departure delay (by group) average_departure_delay = mean(dep_delay, na.rm = TRUE), n = n() )flights |> # Take the flight data frame group_by(carrier) |> # Then group it by carrier summarise( # Then calculate the average departure delay (by group) average_departure_delay = mean(dep_delay, na.rm = TRUE), n = n() )flights |> # Take the flight data frame group_by(carrier) |> # Then group it by carrier summarise( # Then calculate the average departure delay (by group) average_departure_delay = mean(dep_delay, na.rm = TRUE), n = n() )flights |> # Take the flight data frame group_by(carrier) |> # Then group it by carrier summarise( # Then calculate the average departure delay (by group) average_departure_delay = mean(dep_delay, na.rm = TRUE), n = n() )flights |> # Take the flight data frame group_by(carrier) |> # Then group it by carrier summarise( # Then calculate the average departure delay (by group) average_departure_delay = mean(dep_delay, na.rm = TRUE), n = n() )
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!
Efficient data manipulation with R Philippe Massicotte Laval University March 2, 2023