Please do in Python Business scenario. The bank has been seen unusual churn rates for their customers (churn is when people leave the company). They want to understand the problem. Therefore, they...

ANNAssignment/ann.py
#So in this dataset we are dealing with churn modeling we would write artificial neural network
#part-1-Data Preprocessing
#Import the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
dataset=pd.read_csv('/Users/akashsoni/Downloads/qfile_636755949450952579_122713_1.csv')
#Looking at the feature we can see that now no.,name will have no relation with a customer with leaving the bank
#so we are going to drop feature Index from 3 to 12
X=dataset.iloc[:,3:13].values
#we store the Dependent value/predicted value in y by storing the 13th index in the variable y
y=dataset.iloc[:,13].values
print(X)
print(y)
#Encoding categorical data
#Now we encode the string values in the features to numerical values
#The only 2 values are Gender the Region which need to converted into numerical data
from sklearn.preprocessing import LabelEncoder,OneHotEncoder
labelencoder_X_1=LabelEncoder()#creating label encoder object
X[:,1]=labelencoder_X_1.fit_transform(X[:,1])
labelencoder_X_2=LabelEncoder()
X[:,2]=labelencoder_X_2.fit_transform(X[:,2])#encoding Gender from string to just 2 no.s 0,1(male,female)
#now create dummy variables
onehotencoder=OneHotEncoder(categorical_features=[1])
X=onehotencoder.fit_transform(X).toarray()
X=X[:,1:]
#Splitting dataset into Traing and testing
from sklearn.model_selection import train_test_split
X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.2,random_state=0)
#Feature Scaling
from sklearn.preprocessing import StandardScaler
sc=StandardScaler()
X_train=sc.fit_transform(X_train)
X_test=sc.transform(X_test)
#Part-2 Now we make ANN
#Import Keras library and packages
import keras
from keras.models import Sequential
from keras.layers import Dense
#Initialising the ANN
classifier=Sequential()
#Adding input layer and the first hidden layer
#you can set the number of nodes in hidden layer
#Here avg=(11+1)/2==>6 so set output dim=6
#Init will initialize the hidden layer weight
#Input dim tells us the number of nodes in the Input Layer.This Done only once and wont be specified in further layers
classifier.add(Dense(output_dim=6,init='uniform',activation='relu',input_dim=11))
#Adding the second hidden layer
classifier.add(Dense(output_dim=6,init='uniform',activation='relu'))
#Adding the output layer
classifier.add(Dense(output_dim=1,init='uniform',activation='sigmoid'))
#Sigmoid function need when we need probabilities of 2 categories or less(Similar to logistic regresssion)
#Switch when the dependent variable has more than 2 categories
#compile the ANN
classifier.compile(optimizer='adam',loss='binary_crossentropy',metrics=['accuracy'])
#Fitting the ANN to the Training set
classifier.fit(X_train,y_train,batch_size=10,nb_epoch=100)
#Part-3 Making the prediction and evaluating the model
#Predicting the Test set results
y_pred=classifier.predict(X_test)
y_pred=(y_pred>0.5)#if y_pred is greater than 0.5 return true(1) else false(2)
print(y_pred)
#Confusion Matrix
from sklearn.metrics import confusion_matrix
cm=confusion_matrix(y_test,y_pred)
print(cm)
accuracy=(1550+175)/2000#Obtained from confusion matrix
print(accuracy)
__MACOSX/ANNAssignment/._ann.py
ANNAssignment/annreport.docx
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                4
college name
Executive Summary
The current report discusses the role of Deep Learning, its associated ANN and Python way to Analysis organisational functioning, with a special reference to ANN, it is contains Artificial Neural Network,to make model according to data set. The report starts with a brief introduction about the report topic and the chosen organisation. In the following section of the report, the current level of Deep learning attained by ANN is evaluated using relevant innovation theories as parameters. The theories includes Technology ANN, ANN, Algorithams, models, which shows that the dataset having some pattern
Table of Contents
Introduction    4
Encoded categorical data    4
Generalized linear regression    5
Keras Library    6
Hidden Layer    7
Confusion Matrix    8
Conclusion    14
References    16
Introduction
    The role of ANN in Deep learning consistency, improvement and growth is evident. Deep Learning is not limited within the ANN of developing technology; it is also about CNN,RNN,Deep Learning having many Algorithum to find the pattern and predictive value from data set if we use regression model. ANN is having high popularity in market for Deep Learning, the exiting technology Data Scientist lose their competitive advantages, requiring a means of new ways to attract clients, customers.
Theoretically analysing Linear regression
The Linear Regression is a Machine Learning Model technique to find predictive value from dataset When fitting LinearRegressionModel without intercept on dataset with constant nonzero column by “I-bfgs”solver,Spark MLib output zero coefficients for constant nonzero columns.This behaviour is the same as R glmnet but different from LIBSM.
Generalized linear regression
Contrasted with Linear regression where the output is assumed to follow a Gaussian distribution,(GLMS) are specification of linear models where the response variable YiYi follow some distribution from the exponential family.Spark’s GeneralizedLinearRegression interface allows for flexible specification of GLMs which can we used for various type of prediction problems including linear regression,Poission regression,logistic regression , and others
NOTE: Spark currently only supports up to 4096 features through its GeneralizedLinearRegression interface, and will throw an exception if this constraint is exceeded, for linear and logistic regression, models with an increased number of features can be trained using the LinearRegression and LogisticRegression estimators.
GLMs require exponential family distributions that can be written in their “canonical” or “natural” form, aka . The form of a natural exponential family distribution is given as:
fY(y|θ,τ)=h(y,τ)exp(θ⋅y−A(θ)d(τ))fY(y|θ,τ)=h(y,τ)exp⁡(θ⋅y−A(θ)d(τ))
where θθ is the parameter of interest and ττ is a dispersion parameter. In a GLM the response variable YiYi is assumed to be drawn from a natural exponential family distribution:
Yi∼f(⋅|θi,τ)Yi∼f(⋅|θi,τ)
where the parameter of interest θiθi is related to the expected value of the response variable μiμi by
μi=A′(θi)μi=A′(θi)
Here, A′(θi)A′(θi) is defined by the form of the distribution selected. GLMs also allow specification of a link function, which defines the relationship between the expected value of the response variable μiμi and the so called linear predictor ηiηi:
g(μi)=ηi=xi→T⋅β⃗ g(μi)=ηi=xi→T⋅β→
Often, the link function is chosen such that A′=g−1A′=g−1, which yields a simplified relationship between the parameter of interest θθ and the linear predictor ηη. In this case, the link function g(μ)g(μ) is said to be the “canonical” link function.
θi=A′−1(μi)=g(g−1(ηi))=ηiθi=A′−1(μi)=g(g−1(ηi))=ηi
A GLM finds the regression coefficients β⃗ β→ which maximize the likelihood function.
maxβ⃗ (θ⃗ |y⃗ ,X)=∏i=1Nh(yi,τ)exp(yiθi−A(θi)d(τ))maxβ→L(θ→|y→,X)=∏i=1Nh(yi,τ)exp⁡(yiθi−A(θi)d(τ))
where the parameter of interest θiθi is related to the regression coefficients β⃗ β→ by
θi=A′−1(g−1(xi→⋅β⃗ ))θi=A′−1(g−1(xi→⋅β→))
Spark’s generalized linear regression interface also provides summary statistics for diagnosing the fit of GLM models, including residuals, p-values, deviances, the Akaike information criterion, and others.
Encoded categorical Data
Encoded categorical convert string value in the features to numerical value as ML Algorithm can only work on numbers and not on string values
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
labelencoder_X_1 = LabelEncoder()
X[:, 1] = labelencoder_X_1.fit_transform(X[:, 1])
labelencoder_X_2 = LabelEncoder()
Keras Library
Keras is a high-level neural network API,written in Python and capable of running on top of Tensorflow,CNTK or Theano
Guiding principles
· User friendly:Keras is an API designed for human beings,not machines.It puts user experiance front and centre.
· Modularity :Amodel is understood as a sequence or a graph of standalone,fully-configurable modules that can be plugged together with as few restriction as possible
import keras
from keras.models import Sequential
from keras.layers import Dense
classifier=Sequential()
classifier.add(Dense(output_dim=6,init=’uniform’,activation=’relu’,input_dim=11))
classifier.add(Dense(output_dim=6,init='uniform',activation='relu'))
#Adding the output layer
classifier.add(Dense(output_dim=1,init='uniform',activation='sigmoid'))
#Sigmoid function need when we need probabilities of 2 categories or less(Similar to logistic regresssion)
#Switch when the dependent variable has more than 2 categories
#compile the ANN
classifier.compile(optimizer='adam',loss='binary_crossentropy',metrics=['accuracy'])
#Fitting the ANN to the Training set
classifier.fit(X_train,y_train,batch_size=10,nb_epoch=100)
#Part-3 Making the prediction and evaluating the model
#Predicting the Test set results
y_pred=classifier.predict(X_test)
y_pred=(y_pred>0.5)#if y_pred is greater than 0.5 return true(1) else false(2)
print(y_pred)
Hidden Layer:
A Hidden layer in an artificial neural is a layer in between input layer and output layers,
where artificial neurons take in a set of weighted inputs and produce an output through an
activation function.It is a typical part of nearly any neural network
#Input dim tells us the number of nodes in the Input Layer.This Done only once and wont be specified in further layers
classifier.add(Dense(output_dim=6,init='uniform',activation='relu',input_dim=11))
#Adding the second hidden layer
classifier.add(Dense(output_dim=6,init='uniform',activation='relu'))
#Adding the output layer
classifier.add(Dense(output_dim=1,init='uniform',activation='sigmoid'))
#Sigmoid function need when we need probabilities of 2 categories or less(Similar to logistic regresssion)
#Switch when the dependent variable has more than 2 categories
#compile the ANN
classifier.compile(optimizer='adam',loss='binary_crossentropy',metrics=['accuracy'])
#Fitting the ANN to the Training set
classifier.fit(X_train,y_train,batch_size=10,nb_epoch=100)
Confusion Matrix
A confusion matrix is a technique for summarize the performance of a classification algoritm
Classification accuracy alone can be misleading if you have an unequal number of observation in each class or if you have more than two classes in your dataset
Calculating a confusion matrix can give you a better idea of what your classification model is getting right and what types of error it is making
#Confusion Matrix
from sklearn.metrics import confusion_matrix
cm=confusion_matrix(y_test,y_pred)
print(cm)
accuracy=(1550+175)/2000#Obtained from confusion matrix
print(accuracy)
The computing world has a lot to gain from neural network .Their ability to learn by examples makes them very flexible and powerful.Furthermore there is no need to device an algorithm in order to perform a specific task their is no need to understand internal mechanism of of that task
Neural network also contribute to other research such as neural and psychology
Finally i would like to say even through neural network have a huge potential we will only get the best of them when they intergrated with computing.
References
Hidden layer: https://www.techopedia.com/definition/33264/hidden-layer-neural-networks
Keras :https://keras.io
ANN :https://en.wikipedia.org/wiki/Artificial_neural_network
__MACOSX/ANNAssignment/._annreport.docx
ANNAssignment/qfile_636755949450952579_122713_1.csv
RowNumber,CustomerId,Surname,CreditScore,Geography,Gender,Age,Tenure,Balance,NumOfProducts,HasCrCard,IsActiveMember,EstimatedSalary,Exited
1,15634602,Hargrave,619,France,Female,42,2,0,1,1,1,101348.88,1
2,15647311,Hill,608,Spain,Female,41,1,83807.86,1,0,1,112542.58,0
3,15619304,Onio,502,France,Female,42,8,159660.8,3,1,0,113931.57,1
4,15701354,Boni,699,France,Female,39,1,0,2,0,0,93826.63,0
5,15737888,Mitchell,850,Spain,Female,43,2,125510.82,1,1,1,79084.1,0
6,15574012,Chu,645,Spain,Male,44,8,113755.78,2,1,0,149756.71,1
7,15592531,Bartlett,822,France,Male,50,7,0,2,1,1,10062.8,0
8,15656148,Obinna,376,Germany,Female,29,4,115046.74,4,1,0,119346.88,1
9,15792365,He,501,France,Male,44,4,142051.07,2,0,1,74940.5,0
10,15592389,H?,684,France,Male,27,2,134603.88,1,1,1,71725.73,0
11,15767821,Bearce,528,France,Male,31,6,102016.72,2,0,0,80181.12,0
12,15737173,Andrews,497,Spain,Male,24,3,0,2,1,0,76390.01,0
13,15632264,Kay,476,France,Female,34,10,0,2,1,0,26260.98,0
14,15691483,Chin,549,France,Female,25,5,0,2,0,0,190857.79,0
15,15600882,Scott,635,Spain,Female,35,7,0,2,1,1,65951.65,0
16,15643966,Goforth,616,Germany,Male,45,3,143129.41,2,0,1,64327.26,0
17,15737452,Romeo,653,Germany,Male,58,1,132602.88,1,1,0,5097.67,1
18,15788218,Henderson,549,Spain,Female,24,9,0,2,1,1,14406.41,0
19,15661507,Muldrow,587,Spain,Male,45,6,0,1,0,0,158684.81,0
20,15568982,Hao,726,France,Female,24,6,0,2,1,1,54724.03,0
21,15577657,McDonald,732,France,Male,41,8,0,2,1,1,170886.17,0
22,15597945,Dellucci,636,Spain,Female,32,8,0,2,1,0,138555.46,0
23,15699309,Gerasimov,510,Spain,Female,38,4,0,1,1,0,118913.53,1
24,15725737,Mosman,669,France,Male,46,3,0,2,0,1,8487.75,0
25,15625047,Yen,846,France,Female,38,5,0,1,1,1,187616.16,0
26,15738191,Maclean,577,France,Male,25,3,0,2,0,1,124508.29,0
27,15736816,Young,756,Germany,Male,36,2,136815.64,1,1,1,170041.95,0
28,15700772,Nebechi,571,France,Male,44,9,0,2,0,0,38433.35,0
29,15728693,McWilliams,574,Germany,Female,43,3,141349.43,1,1,1,100187.43,0
30,15656300,Lucciano,411,France,Male,29,0,59697.17,2,1,1,53483.21,0
31,15589475,Azikiwe,591,Spain,Female,39,3,0,3,1,0,140469.38,1
32,15706552,Odinakachukwu,533,France,Male,36,7,85311.7,1,0,1,156731.91,0
33,15750181,Sanderson,553,Germany,Male,41,9,110112.54,2,0,0,81898.81,0
34,15659428,Maggard,520,Spain,Female,42,6,0,2,1,1,34410.55,0
35,15732963,Clements,722,Spain,Female,29,9,0,2,1,1,142033.07,0
36,15794171,Lombardo,475,France,Female,45,0,134264.04,1,1,0,27822.99,1
37,15788448,Watson,490,Spain,Male,31,3,145260.23,1,0,1,114066.77,0
38,15729599,Lorenzo,804,Spain,Male,33,7,76548.6,1,0,1,98453.45,0
39,15717426,Armstrong,850,France,Male,36,7,0,1,1,1,40812.9,0
40,15585768,Cameron,582,Germany,Male,41,6,70349.48,2,0,1,178074.04,0
41,15619360,Hsiao,472,Spain,Male,40,4,0,1,1,0,70154.22,0
42,15738148,Clarke,465,France,Female,51,8,122522.32,1,0,0,181297.65,1
43,15687946,Osborne,556,France,Female,61,2,117419.35,1,1,1,94153.83,0
44,15755196,Lavine,834,France,Female,49,2,131394.56,1,0,0,194365.76,1
45,15684171,Bianchi,660,Spain,Female,61,5,155931.11,1,1,1,158338.39,0
46,15754849,Tyler,776,Germany,Female,32,4,109421.13,2,1,1,126517.46,0
47,15602280,Martin,829,Germany,Female,27,9,112045.67,1,1,1,119708.21,1
48,15771573,Okagbue,637,Germany,Female,39,9,137843.8,1,1,1,117622.8,1
49,15766205,Yin,550,Germany,Male,38,2,103391.38,1,0,1,90878.13,0
50,15771873,Buccho,776,Germany,Female,37,2,103769.22,2,1,0,194099.12,0
51,15616550,Chidiebele,698,Germany,Male,44,10,116363.37,2,1,0,198059.16,0
52,15768193,Trevisani,585,Germany,Male,36,5,146050.97,2,0,0,86424.57,0
53,15683553,O'Brien,788,France,Female,33,5,0,2,0,0,116978.19,0
54,15702298,Parkhill,655,Germany,Male,41,8,125561.97,1,0,0,164040.94,1
55,15569590,Yoo,601,Germany,Male,42,1,98495.72,1,1,0,40014.76,1
56,15760861,Phillipps,619,France,Male,43,1,125211.92,1,1,1,113410.49,0
57,15630053,Tsao,656,France,Male,45,5,127864.4,1,1,0,87107.57,0
58,15647091,Endrizzi,725,Germany,Male,19,0,75888.2,1,0,0,45613.75,0
59,15623944,T'ien,511,Spain,Female,66,4,0,1,1,0,1643.11,1
60,15804771,Velazquez,614,France,Male,51,4,40685.92,1,1,1,46775.28,0
61,15651280,Hunter,742,Germany,Male,35,5,136857,1,0,0,84509.57,0
62,15773469,Clark,687,Germany,Female,27,9,152328.88,2,0,0,126494.82,0
63,15702014,Jeffrey,555,Spain,Male,33,1,56084.69,2,0,0,178798.13,0
64,15751208,Pirozzi,684,Spain,Male,56,8,78707.16,1,1,1,99398.36,0
65,15592461,Jackson,603,Germany,Male,26,4,109166.37,1,1,1,92840.67,0
66,15789484,Hammond,751,Germany,Female,36,6,169831.46,2,1,1,27758.36,0
67,15696061,Brownless,581,Germany,Female,34,1,101633.04,1,1,0,110431.51,0
68,15641582,Chibugo,735,Germany,Male,43,10,123180.01,2,1,1,196673.28,0
69,15638424,Glauert,661,Germany,Female,35,5,150725.53,2,0,1,113656.85,0
70,15755648,Pisano,675,France,Female,21,8,98373.26,1,1,0,18203,0
71,15703793,Konovalova,738,Germany,Male,58,2,133745.44,4,1,0,28373.86,1
72,15620344,McKee,813,France,Male,29,6,0,1,1,0,33953.87,0
73,15812518,Palermo,657,Spain,Female,37,0,163607.18,1,0,1,44203.55,0
74,15779052,Ballard,604,Germany,Female,25,5,157780.84,2,1,1,58426.81,0
75,15770811,Wallace,519,France,Male,36,9,0,2,0,1,145562.4,0
76,15780961,Cavenagh,735,France,Female,21,1,178718.19,2,1,0,22388,0
77,15614049,Hu,664,France,Male,55,8,0,2,1,1,139161.64,0
78,15662085,Read,678,France,Female,32,9,0,1,1,1,148210.64,0
79,15575185,Bushell,757,Spain,Male,33,5,77253.22,1,0,1,194239.63,0
80,15803136,Postle,416,Germany,Female,41,10,122189.66,2,1,0,98301.61,0
81,15706021,Buley,665,France,Female,34,1,96645.54,2,0,0,171413.66,0
82,15663706,Leonard,777,France,Female,32,2,0,1,1,0,136458.19,1
83,15641732,Mills,543,France,Female,36,3,0,2,0,0,26019.59,0
84,15701164,Onyeorulu,506,France,Female,34,4,90307.62,1,1,1,159235.29,0
85,15738751,Beit,493,France,Female,46,4,0,2,1,0,1907.66,0
86,15805254,Ndukaku,652,Spain,Female,75,10,0,2,1,1,114675.75,0
87,15762418,Gant,750,Spain,Male,22,3,121681.82,1,1,0,128643.35,1
88,15625759,Rowley,729,France,Male,30,9,0,2,1,0,151869.35,0
89,15622897,Sharpe,646,France,Female,46,4,0,3,1,0,93251.42,1
90,15767954,Osborne,635,Germany,Female,28,3,81623.67,2,1,1,156791.36,0
91,15757535,Heap,647,Spain,Female,44,5,0,3,1,1,174205.22,1
92,15731511,Ritchie,808,France,Male,45,7,118626.55,2,1,0,147132.46,0
93,15809248,Cole,524,France,Female,36,10,0,2,1,0,109614.57,0
94,15640635,Capon,769,France,Male,29,8,0,2,1,1,172290.61,0
95,15676966,Capon,730,Spain,Male,42,4,0,2,0,1,85982.47,0
96,15699461,Fiorentini,515,Spain,Male,35,10,176273.95,1,0,1,121277.78,0
97,15738721,Graham,773,Spain,Male,41,9,102827.44,1,0,1,64595.25,0
98,15693683,Yuille,814,Germany,Male,29,8,97086.4,2,1,1,197276.13,0
99,15604348,Allard,710,Spain,Male,22,8,0,2,0,0,99645.04,0
100,15633059,Fanucci,413,France,Male,34,9,0,2,0,0,6534.18,0
101,15808582,Fu,665,France,Female,40,6,0,1,1,1,161848.03,0
102,15743192,Hung,623,France,Female,44,6,0,2,0,0,167162.43,0
103,15580146,Hung,738,France,Male,31,9,82674.15,1,1,0,41970.72,0
104,15776605,Bradley,528,Spain,Male,36,7,0,2,1,0,60536.56,0
105,15804919,Dunbabin,670,Spain,Female,65,1,0,1,1,1,177655.68,1
106,15613854,Mauldon,622,Spain,Female,46,4,107073.27,2,1,1,30984.59,1
107,15599195,Stiger,582,Germany,Male,32,1,88938.62,1,1,1,10054.53,0
108,15812878,Parsons,785,Germany,Female,36,2,99806.85,1,0,1,36976.52,0
109,15602312,Walkom,605,Spain,Male,33,5,150092.8,1,0,0,71862.79,0
110,15744689,T'ang,479,Germany,Male,35,9,92833.89,1,1,0,99449.86,1
111,15803526,Eremenko,685,Germany,Male,30,3,90536.81,1,0,1,63082.88,0
112,15665790,Rowntree,538,Germany,Male,39,7,108055.1,2,1,0,27231.26,0
113,15715951,Thorpe,562,France,Male,42,2,100238.35,1,0,0,86797.41,0
114,15591100,Chiemela,675,Spain,Male,36,9,106190.55,1,0,1,22994.32,0
115,15609618,Fanucci,721,Germany,Male,28,9,154475.54,2,0,1,101300.94,1
116,15675522,Ko,628,Germany,Female,30,9,132351.29,2,1,1,74169.13,0
117,15705512,Welch,668,Germany,Female,37,6,167864.4,1,1,0,115638.29,0
118,15698028,Duncan,506,France,Female,41,1,0,2,1,0,31766.3,0
119,15661670,Chidozie,524,Germany,Female,31,8,107818.63,1,1,0,199725.39,1
120,15600781,Wu,699,Germany,Male,34,4,185173.81,2,1,0,120834.48,0
121,15682472,Culbreth,828,France,Male,34,8,129433.34,2,0,0,38131.77,0
122,15580203,Kennedy,674,Spain,Male,39,6,120193.42,1,0,0,100130.95,0
123,15690673,Cameron,656,France,Female,39,6,0,2,1,0,141069.88,0
124,15760085,Calabresi,684,Germany,Female,48,10,126384.42,1,1,1,198129.36,0
125,15779659,Zetticci,625,France,Female,28,3,0,1,0,0,183646.41,0
126,15627360,Fuller,432,France,Male,42,9,152603.45,1,1,0,110265.24,1
127,15671137,MacDonald,549,France,Female,52,1,0,1,0,1,8636.05,1
128,15782688,Piccio,625,Germany,Male,56,0,148507.24,1,1,0,46824.08,1
129,15575492,Kennedy,828,France,Female,41,7,0,2,1,0,171378.77,0
130,15591607,Fernie,770,France,Male,24,9,101827.07,1,1,0,167256.35,0
131,15740404,He,758,France,Female,34,3,0,2,1,1,124226.16,0
132,15718369,Kaodilinakachukwu,795,Germany,Female,33,9,130862.43,1,1,1,114935.21,0
133,15677871,Cocci,687,France,Male,38,9,122570.87,1,1,1,35608.88,0
134,15642004,Alekseeva,686,France,Male,25,1,0,2,0,1,16459.37,0
135,15712543,Chinweike,789,Germany,Male,39,7,124828.46,2,1,1,124411.08,0
136,15584518,Arthur,589,Germany,Female,50,5,144895.05,2,1,1,34941.23,0
137,15802381,Li,461,Germany,Female,34,5,63663.93,1,0,1,167784.28,0
138,15610156,Ma,637,France,Male,40,2,133463.1,1,0,1,93165.34,0
139,15594408,Chia,584,Spain,Female,48,2,213146.2,1,1,0,75161.25,1
140,15640905,Vasin,579,Spain,Female,35,1,129490.36,2,0,1,8590.83,1
141,15698932,Groves,756,Germany,Male,44,10,137452.09,1,1,0,189543.9,0
142,15724944,Tien,663,France,Male,34,7,0,2,1,1,180427.24,0
143,15628145,Forwood,682,France,Female,43,5,125851.93,1,1,1,193318.33,0
144,15713483,Greeves,793,Spain,Male,52,2,0,1,1,0,159123.82,1
145,15612350,Taylor,691,France,Female,31,5,40915.55,1,1,0,126213.84,1
146,15800703,Madukwe,485,Spain,Female,21,5,113157.22,1,1,1,54141.5,0
147,15705707,Bennelong,635,Spain,Female,29,8,138296.94,2,1,0,141075.51,0
148,15754105,Olisanugo,650,France,Male,37,5,106967.18,1,0,0,24495.03,0
149,15703264,Chukwufumnanya,735,France,Male,44,9,120681.63,1,1,0,74836.34,0
150,15794413,Harris,416,France,Male,32,0,0,2,0,1,878.87,0
151,15650237,Morgan,754,Spain,Female,32,7,0,2,1,0,89520.75,0
152,15759618,Alexeeva,535,France,Female,48,9,0,1,1,0,149892.79,1
153,15811589,Metcalfe,716,Spain,Male,42,8,0,2,1,0,180800.42,0
154,15689044,Humphries,539,France,Male,37,2,127609.59,1,1,0,98646.22,0
155,15709368,Milne,614,France,Female,43,6,0,2,1,1,109041.53,0
156,15679145,Chou,706,Spain,Male,57,7,0,1,1,0,17941.16,1
157,15655007,Li,758,France,Female,33,7,0,2,0,0,82996.47,0
158,15623595,Clayton,586,Spain,Female,28,2,0,2,1,1,92067.35,0
159,15589975,Maclean,646,France,Female,73,6,97259.25,1,0,1,104719.66,0
160,15804017,Chigolum,631,Germany,Female,33,4,123246.7,1,0,0,112687.57,0
161,15692132,Wilkinson,717,Spain,Female,22,6,101060.25,1,0,1,84699.56,0
162,15641122,Wei,684,France,Male,30,2,0,2,1,0,83473.82,0
163,15630910,Treacy,800,France,Female,49,7,108007.36,1,0,0,47125.11,0
164,15680772,Hu,721,Spain,Female,36,2,0,2,1,1,106977.8,0
165,15658929,Taverner,683,Spain,Male,29,0,133702.89,1,1,0,55582.54,1
166,15585388,Sherman,660,Germany,Male,31,9,125189.75,2,1,1,139874.43,0
167,15724623,Taubman,704,Germany,Female,24,7,113034.22,1,1,0,162503.48,1
168,15588537,Robinson,615,Spain,Female,41,9,109013.23,1,1,0,196499.96,0
169,15574692,Pinto,667,Spain,Female,39,2,0,2,1,0,40721.24,1
170,15611325,Wood,682,Germany,Male,24,9,57929.81,2,0,0,53134.3,0
171,15587562,Hawkins,484,France,Female,29,4,130114.39,1,1,0,164017.89,0
172,15613172,Sun,628,Germany,Male,27,5,95826.49,2,1,0,155996.96,0
173,15651022,Yost,480,Germany,Male,44,10,129608.57,1,1,0,5472.7,1
174,15586310,Ting,578,France,Male,30,4,169462.09,1,1,0,112187.11,0
175,15625524,Rowe,512,France,Male,40,5,0,2,1,1,146457.83,0
176,15755209,Fu,484,Spain,Female,35,7,133868.21,1,1,1,27286.1,0
177,15645248,Ho,510,France,Female,30,0,0,2,1,1,130553.47,0
178,15790355,Okechukwu,606,Germany,Male,36,5,190479.48,2,0,0,179351.89,0
179,15762615,Campbell,597,Spain,Female,40,8,101993.12,1,0,1,94774.12,0
180,15625426,Ashbolt,754,Germany,Female,55,3,161608.81,1,1,0,8080.85,1
181,15716334,Rozier,850,Spain,Female,45,2,122311.21,1,1,1,19482.5,0
182,15789669,Hsia,510,France,Male,65,2,0,2,1,1,48071.61,0
183,15621075,Ogbonnaya,778,Germany,Female,45,1,162150.42,2,1,0,174531.27,0
184,15810845,T'ang,636,France,Male,42,2,0,2,1,1,55470.78,0
185,15719377,Cocci,804,France,Female,50,4,0,1,1,1,8546.87,1
186,15654506,Chang,514,France,Male,32,8,0,2,1,0,95857.18,0
187,15771977,T'ao,730,France,Female,39,1,99010.67,1,1,0,194945.8,0
188,15708710,Ford,525,Spain,Female,37,0,0,1,0,1,131521.72,0
189,15726676,Marshall,616,Spain,Male,30,5,0,2,0,1,196108.51,0
190,15587421,Tsai,687,Germany,Female,34,7,111388.18,2,1,0,148564.76,0
191,15726931,Onwumelu,715,France,Female,41,8,56214.85,2,0,0,92982.61,1
192,15771086,Graham,512,France,Female,36,3,84327.77,2,1,0,17675.36,0
193,15756850,Golovanov,479,France,Male,40,1,0,2,0,0,114996.43,0
194,15702741,Potts,601,France,Male,32,8,93012.89,1,1,0,86957.42,0
195,15679200,Crawford,580,Spain,Male,29,9,61710.44,2,1,0,128077.8,0
196,15594815,Aleshire,807,France,Male,35,3,174790.15,1,1,1,600.36,0
197,15635905,Moran,616,Spain,Female,32,6,0,2,1,1,43001.46,0
198,15777892,Samsonova,721,Germany,Male,37,3,107720.64,1,1,1,158591.12,0
199,15656176,Jenkins,501,France,Male,57,10,0,2,1,1,47847.19,0
200,15811127,Volkov,521,France,Male,35,6,96423.84,1,1,0,10488.44,0
201,15604482,Chiemezie,850,Spain,Male,30,2,141040.01,1,1,1,5978.2,0
202,15622911,Jude,759,France,Male,42,4,105420.18,1,0,1,121409.06,0
203,15600974,He,516,Spain,Male,50,5,0,1,0,1,146145.93,1
204,15727868,Onuora,711,France,Female,38,2,129022.06,2,1,1,14374.86,1
205,15627801,Ginikanwa,512,Spain,Male,33,3,176666.62,1,1,0,94670.77,0
206,15773039,Ku,550,France,Male,37,3,0,1,1,1,179670.31,0
207,15755262,McDonald,608,Spain,Female,41,3,89763.84,1,0,0,199304.74,1
208,15679531,Collins,618,France,Male,34,5,134954.53,1,1,1,151954.39,0
209,15684181,Hackett,643,France,Male,45,5,0,1,1,0,142513.5,1
210,15612087,Dike,671,France,Male,45,2,106376.85,1,0,1,158264.62,0
211,15752047,Trevisano,689,Germany,Male,33,2,161814.64,2,1,0,169381.9,0
212,15624592,Tan,603,France,Male,31,8,0,2,1,1,169915.02,0
213,15573152,Glassman,620,France,Female,41,9,0,2,0,0,88852.47,0
214,15594917,Miller,676,France,Female,34,1,63095.01,1,1,1,40645.81,0
215,15785542,Kornilova,572,Germany,Male,26,4,118287.01,2,0,0,60427.3,0
216,15723488,Watson,668,Germany,Male,47,7,106854.21,1,0,1,157959.02,1
217,15680920,Marchesi,695,France,Male,46,7,49512.55,1,1,0,133007.34,0
218,15786308,Millar,730,Spain,Female,33,9,0,2,0,0,176576.62,0
219,15659366,Shih,807,France,Male,43,1,105799.32,2,1,0,34888.04,1
220,15774854,Fuller,592,France,Male,54,8,0,1,1,1,28737.71,1
221,15725311,Hay,726,France,Female,31,9,114722.05,2,1,1,98178.57,0
222,15787155,Yang,514,Spain,Male,30,7,0,1,0,1,125010.24,0
223,15727829,McIntyre,567,France,Male,42,2,0,2,1,1,167984.61,0
224,15733247,Stevenson,850,France,Male,33,10,0,1,1,0,4861.72,1
225,15568748,Poole,671,Germany,Male,45,6,99564.22,1,1,1,108872.45,1
226,15699029,Bagley,670,France,Male,37,4,170557.91,2,1,0,198252.88,0
227,15774393,Ch'ien,694,France,Female,30,9,0,2,1,1,26960.31,0
228,15676895,Cattaneo,547,Germany,Female,39,6,74596.15,3,1,1,85746.52,1
229,15637753,O'Sullivan,751,Germany,Male,50,2,96888.39,1,1,0,77206.25,1
230,15605461,Lucas,594,Germany,Female,29,3,130830.22,1,1,0,61048.53,0
231,15808473,Ringrose,673,France,Male,72,1,0,2,0,1,111981.19,0
232,15627000,Freeman,610,France,Male,40,0,0,2,1,0,62232.6,0
233,15787174,Sergeyev,512,France,Female,37,1,0,2,0,1,156105.03,0
234,15723886,Fiore,767,Germany,Male,20,3,119714.25,2,0,1,150135.38,0
235,15704769,Smith,585,France,Female,67,5,113978.97,2,0,1,93146.11,0
236,15772896,Dumetochukwu,763,Germany,Male,42,6,100160.75,1,1,0,33462.94,1
237,15711540,Pacheco,712,France,Female,29,2,0,1,1,1,144375,0
238,15764866,Synnot,539,Germany,Female,43,3,116220.5,3,1,0,55803.96,1
239,15794056,Johnston,668,France,Female,46,2,0,3,1,0,89048.46,1
240,15795149,Stevens,703,France,Male,28,2,81173.83,2,0,1,162812.16,0
241,15812009,Grant,662,Spain,Male,38,4,0,2,1,0,136259.65,0
242,15651001,Tsao,725,Germany,Female,39,5,116803.8,1,1,0,124052.97,0
243,15813844,Barnes,703,France,Male,37,8,105961.68,2,0,1,74158.8,0
244,15596175,McIntosh,659,Germany,Male,67,6,117411.6,1,1,1,45071.09,1
245,15576269,Madison,523,Spain,Male,34,7,0,2,1,0,62030.06,0
246,15797219,Ifesinachi,635,France,Female,40,10,123497.58,1,1,0,131953.23,1
247,15685500,Glazkov,772,Germany,Male,26,7,152400.51,2,1,0,79414,0
248,15599792,Dimauro,545,France,Female,26,1,0,2,1,1,199638.56,0
249,15657566,Wieck,634,Germany,Male,24,8,103097.85,1,1,1,157577.29,0
250,15772423,Liao,739,Germany,Male,54,8,126418.14,1,1,0,134420.75,1
251,15628112,Hughes,771,Germany,Female,36,5,77846.9,1,0,0,99805.99,0
252,15753754,Morrison,587,Spain,Female,34,1,0,2,1,1,97932.68,0
253,15793726,Matveyeva,681,France,Female,79,0,0,2,0,1,170968.99,0
254,15694717,Ku,544,Germany,Male,37,2,79731.91,1,1,1,57558.95,0
255,15665834,Cheatham,696,Spain,Male,28,8,0,1,0,0,176713.47,0
256,15765297,Yao,766,Spain,Male,41,0,0,2,0,1,34283.23,0
257,15636684,Kirkland,727,France,Male,34,10,0,2,1,1,198637.34,0
258,15592979,Rose,671,Germany,Female,34,6,37266.67,2,0,0,156917.12,0
259,15750803,Jess,693,France,Female,30,6,127992.25,1,1,1,50457.2,0
260,15607178,Welch,850,Germany,Male,38,3,54901.01,1,1,1,140075.55,0
261,15713853,Ifeajuna,732,Germany,Male,42,9,108748.08,2,1,1,65323.11,0
262,15673481,Morton,726,Spain,Female,48,6,99906.19,1,1,0,64323.24,0
263,15686776,Rossi,557,France,Female,32,6,184686.41,2,1,0,14956.44,0
264,15673693,Reppert,682,France,Female,26,0,110654.02,1,0,1,111879.21,0
265,15700696,Kang,738,Spain,Male,31,9,79019.8,1,1,1,18606.23,0
266,15813163,Ch'iu,531,Spain,Female,36,9,99240.51,1,1,0,123137.01,0
267,15653857,Wallis,498,France,Male,34,2,0,2,1,1,148528.24,0
268,15777076,Clark,651,France,Male,36,7,0,2,1,0,13898.31,0
269,15717398,Fielding,549,Spain,Female,39,7,0,1,0,0,81259.25,1
270,15799217,Zetticci,791,Germany,Female,35,7,52436.2,1,1,0,161051.75,0
271,15787071,Dulhunty,650,Spain,Male,41,9,0,2,0,1,191599.67,0
272,15619955,Bevington,733,Germany,Male,34,3,100337.96,3,1,0,48559.19,1
273,15796505,Boyle,811,Germany,Female,34,1,149297.19,2,1,1,186339.74,0
274,15725166,Newton,707,France,Male,30,8,0,2,1,0,33159.37,0
275,15800116,Bowman,712,Germany,Male,28,4,145605.44,1,0,1,93883.53,0
276,15758685,Dubinina,706,Spain,Female,37,7,0,2,1,1,110899.3,0
277,15694456,Toscani,756,France,Male,62,3,0,1,1,1,11199.04,1
278,15767339,Chiazagomekpere,777,France,Female,53,10,0,2,1,0,189992.97,0
279,15683562,Allen,646,France,Male,35,6,84026.86,1,0,1,164255.69,0
280,15782210,K'ung,714,France,Male,46,1,0,1,1,0,152167.79,1
281,15668893,Wilsmore,782,France,Male,39,8,0,2,1,1,33949.67,0
282,15669169,Hargreaves,775,Spain,Male,29,10,0,2,1,1,68143.93,0
283,15643024,Huang,479,Germany,Male,35,4,138718.92,1,1,1,47251.79,1
284,15699389,Ch'ien,807,France,Male,42,7,118274.71,1,1,1,25885.72,0
285,15708608,Wallwork,799,France,Female,22,8,174185.98,2,0,1,192633.85,0
286,15626144,Chu,675,France,Male,40,7,113208.86,2,1,0,34577.36,0
287,15573112,Kang,602,Spain,Male,29,5,103907.28,1,1,0,161229.84,0
288,15790678,Davidson,475,France,Female,32,8,119023.28,1,1,0,100816.29,0
289,15727556,O'Donnell,744,Spain,Female,26,5,166297.89,1,1,1,181694.44,0
290,15697307,Nnachetam,588,Spain,Male,34,10,0,2,1,0,79078.91,0
291,15652266,Chidiebele,703,Germany,Male,42,9,63227,1,0,1,137316.32,0
292,15607098,Ahmed,747,Spain,Female,41,5,94521.17,2,1,0,194926.86,0
293,15655774,Booth,583,France,Male,27,7,0,2,1,0,51285.49,0
294,15590241,Chuang,750,Spain,Female,34,9,112822.26,1,0,0,150401.53,1
295,15785819,Shao,681,France,Male,38,3,0,2,1,1,112491.96,0
296,15723654,Tsao,773,France,Male,25,2,135903.33,1,1,0,73656.38,0
297,15774510,Tien,714,France,Female,31,4,125169.26,1,1,1,106636.89,0
298,15684173,Chang,687,Spain,Female,44,7,0,3,1,0,155853.52,1
299,15650068,Johnson,511,France,Male,58,0,149117.31,1,1,1,162599.51,0
300,15811490,French,627,France,Male,33,5,0,2,1,1,103737.82,0
301,15803976,Efremov,694,France,Female,31,10,0,2,1,0,160990.27,0
302,15682541,Hartley,616,Spain,Female,36,6,132311.71,1,0,0,15462.84,0
303,15695699,Calabrese,687,France,Male,35,8,0,2,1,0,10334.05,0
304,15624188,Chiu,712,France,Female,33,6,0,2,1,1,190686.16,0
305,15812191,Brennan,553,France,Male,33,4,118082.89,1,0,0,94440.45,0
306,15636673,Onwuatuegwu,667,France,Male,31,1,119266.69,1,1,1,28257.63,0
307,15594898,Hewitt,731,France,Male,43,2,0,1,1,1,170034.95,1
308,15660211,Shih,629,Germany,Male,35,7,156847.29,2,1,0,31824.29,0
309,15773972,Balashov,614,France,Male,50,4,137104.47,1,1,0,127166.49,1
310,15746726,Doyle,438,Germany,Male,31,8,78398.69,1,1,0,44937.01,0
311,15712287,Pokrovskii,652,France,Female,80,4,0,2,1,1,188603.07,0
312,15702919,Collins,729,Germany,Male,30,6,63669.42,1,1,0,145111.37,0
313,15674398,Russo,642,France,Male,38,3,0,2,0,0,171463.83,0
314,15797960,Skinner,806,Germany,Female,59,0,135296.33,1,1,0,182822.5,0
315,15631868,Robertson,744,Spain,Male,36,2,153804.44,1,1,1,87213.33,0
316,15581539,Atkinson,474,Spain,Male,37,3,0,2,0,0,57175.32,0
317,15662736,Doyle,559,France,Male,49,2,147069.78,1,1,0,120540.83,1
318,15666252,Ritchie,706,Spain,Male,42,9,0,2,1,1,28714.34,0
319,15677512,McEncroe,628,Spain,Female,22,3,0,1,1,0,85426.28,0
320,15626114,Pearson,429,France,Male,24,4,95741.75,1,1,0,46170.75,0
321,15810834,Gordon,525,Spain,Female,57,2,145965.33,1,1,1,64448.36,0
322,15678910,Ts'ai,680,France,Female,30,8,141441.75,1,1,1,16278.97,0
323,15694408,Lung,749,France,Male,40,1,139290.41,1,1,0,182855.42,1
324,15585215,Yuan,763,France,Female,31,4,0,2,0,0,50404.72,0
325,15682757,Pardey,734,France,Male,30,3,0,2,1,0,107640.25,0
326,15736601,Tai,716,France,Male,35,4,144428.87,1,1,0,134132.65,0
327,15601848,Scott,594,France,Male,35,2,0,2,1,0,103480.69,0
328,15736008,Hunter,644,France,Female,46,9,95441.27,1,1,0,108761.05,1
329,15669064,Mazzanti,671,Germany,Male,35,1,144848.74,1,1,1,179012.3,0
330,15624528,L?,664,Germany,Male,26,7,116244.14,2,1,1,95145.14,0
331,15598493,Beach,656,France,Male,50,7,0,2,0,1,72143.44,0
332,15601274,Hsieh,667,Spain,Female,40,1,146502.07,1,1,0,19162.89,0
333,15702669,Faulkner,663,Germany,Male,44,2,117028.6,2,0,1,144680.18,0
334,15728669,Knowles,584,Germany,Female,30,8,112013.81,1,1,0,177772.03,1
335,15742668,Day,626,Spain,Female,37,6,108269.37,1,1,0,5597.94,0
336,15697441,Hsueh,485,France,Male,29,7,182123.79,1,1,0,116828.51,1
337,15740476,Tsao,659,Germany,Female,32,3,150923.74,2,0,1,174652.51,0
338,15648064,Kennedy,649,France,Male,33,2,0,2,1,0,2010.98,0
339,15636624,Nwabugwu,805,Spain,Female,39,5,165272.13,1,1,0,14109.85,1
340,15807923,Young,716,Germany,Female,39,10,115301.31,1,1,0,43527.4,1
341,15745844,Kerr,642,Germany,Female,40,6,129502.49,2,0,1,86099.23,1
342,15786170,Tien,659,France,Male,31,4,118342.26,1,0,0,161574.19,0
343,15681081,Marrero,545,Spain,Female,47,5,0,2,1,1,38970.14,0
344,15684484,White,543,France,Male,22,8,0,2,0,0,127587.22,0
345,15785869,Pisano,718,France,Female,25,7,0,2,1,0,30380.12,0
346,15763859,Brown,840,France,Female,43,7,0,2,1,0,90908.95,0
347,15658935,Freeman,630,Germany,Female,34,9,106937.05,2,1,0,138275.01,0
348,15747358,Russell,643,Germany,Male,59,3,170331.37,1,1,1,32171.79,0
349,15735203,Seleznyov,654,Germany,Female,32,1,114510.85,1,1,1,126143.23,0
350,15576256,Yusupova,582,France,Male,39,5,0,2,1,1,129892.93,0
351,15659420,Foley,659,Spain,Male,32,3,107594.11,2,1,1,102416.84,0
352,15593365,Shih,762,Spain,Male,39,2,81273.13,1,1,1,18719.67,0
353,15777352,Ikedinachukwu,568,Spain,Female,32,7,169399.6,1,1,0,61936.22,0
354,15812007,Power,670,Spain,Male,25,6,0,2,1,1,78358.94,0
355,15625461,Amos,613,France,Female,45,1,187841.99,2,1,1,147224.27,0
356,15739438,Reed,539,France,Male,30,0,0,2,1,0,160979.66,0
357,15611759,Simmons,850,Spain,Female,57,8,126776.3,2,1,1,132298.49,0
358,15661629,Ricci,522,Spain,Male,34,9,126436.29,1,1,0,174248.52,1
359,15633950,Yen,737,France,Male,41,1,101960.74,1,1,1,123547.28,0
360,15592386,Campbell,520,France,Male,58,3,0,2,0,1,32790.02,0
361,15803716,West,706,Spain,Male,28,3,0,2,0,1,181543.67,0
362,15696674,Robinson,643,Germany,Female,45,2,150842.93,1,0,1,2319.96,1
363,15706365,Bianchi,648,France,Female,50,9,102535.57,1,1,1,189543.19,0
364,15745088,Chen,443,Germany,Female,29,9,99027.61,2,1,0,10940.4,0
365,15676715,Madukaego,640,France,Male,68,9,0,2,1,1,199493.38,0
366,15613085,Ibrahimova,628,Spain,Female,33,3,0,1,1,1,188193.25,0
367,15633537,Nolan,540,Germany,Female,42,9,87271.41,2,1,0,172572.64,0
368,15594720,Scott,460,Germany,Female,35,8,102742.91,2,1,1,189339.6,0
369,15684042,Blair,636,Germany,Male,34,2,40105.51,2,0,1,53512.16,0
370,15583303,Monaldo,593,France,Female,29,2,152265.43,1,1,0,34004.44,0
371,15611579,Sutherland,801,Spain,Male,42,4,141947.67,1,1,1,10598.29,0
372,15774696,Cole,640,Germany,Female,75,1,106307.91,2,0,1,113428.77,0
373,15694506,Briggs,611,Germany,Male,31,0,107884.81,2,1,1,183487.98,0
374,15688074,Gregory,802,Germany,Male,31,1,125013.72,1,1,1,187658.09,0
375,15759537,Bianchi,717,Germany,Male,35,7,58469.37,2,1,1,172459.39,0
376,15758449,Angelo,769,France,Female,39,8,0,1,0,1,21016,0
377,15583456,Gardiner,745,Germany,Male,45,10,117231.63,3,1,1,122381.02,1
378,15667871,Kerr,572,Spain,Male,35,4,152390.26,1,1,0,128123.66,0
379,15677371,Ko,629,Spain,Female,30,2,34013.63,1,1,0,19570.63,0
380,15629677,Distefano,687,Spain,Female,39,2,0,3,0,0,188150.6,1
381,15713578,Farrell,483,France,Female,50,9,0,2,1,1,111020.24,0
382,15591509,Milano,690,France,Male,36,7,101583.11,2,1,0,123775.15,0
383,15568240,Ting,492,Germany,Female,30,10,77168.87,2,0,1,146700.22,0
384,15622993,Boyd,709,Germany,Male,28,8,124695.72,2,1,0,145251.35,0
385,15689294,Onyemaechi,705,Germany,Male,44,3,105934.96,1,1,0,82463.69,0
386,15720910,Black,560,France,Female,66,9,0,1,1,1,15928.49,0
387,15721181,Oliver,611,Spain,Male,46,6,0,2,1,0,45886.33,0
388,15776433,Greco,730,Spain,Male,62,2,0,2,1,1,186489.95,0
389,15748936,Whitehead,709,Spain,Female,45,2,0,2,0,1,162922.65,0
390,15717225,Ikemefuna,544,France,Female,21,10,161525.96,2,1,0,9262.77,0
391,15685226,Morrison,712,Germany,Female,29,7,147199.07,1,1,1,84932.4,0
392,15785611,Onyeoruru,752,Germany,Male,38,3,183102.29,1,1,1,71557.12,0
393,15573456,Cunningham,648,Spain,Male,46,9,127209,2,1,0,77405.95,1
394,15684548,Demidov,556,Spain,Male,38,8,0,2,0,0,417.41,1
395,15620505,Celis,594,Spain,Female,24,0,97378.54,1,1,1,71405.17,0
396,15807432,Cheng,645,Germany,Female,37,2,136925.09,2,0,1,153400.24,0
397,15584766,Knight,557,France,Male,33,3,54503.55,1,1,1,371.05,0
398,15612187,Morin,547,Germany,Male,32,8,155726.85,1,1,0,67789.99,0
399,15762218,Mills,701,France,Female,39,9,0,2,0,1,145894.9,0
400,15646372,Outhwaite,616,France,Female,66,1,135842.41,1,1,0,183840.51,1
401,15690452,Tung,605,France,Male,52,1,63349.75,1,1,0,108887.44,0
402,15747795,Pai,593,Germany,Female,38,4,129499.42,1,1,1,154071.27,0
403,15781589,Carpenter,751,Spain,Male,52,8,0,2,0,1,179291.85,0
404,15732674,Fennell,443,Spain,Male,36,6,70438.01,2,0,1,56937.43,0
405,15642291,Fontaine,685,France,Male,23,8,0,2,1,1,112239.03,0
406,15692761,Pratt,718,France,Male,36,9,0,1,1,0,45909.87,0
407,15578045,Mitchell,538,Spain,Female,49,9,141434.04,1,0,0,173779.25,1
408,15745354,Franklin,611,Spain,Female,37,4,0,2,1,0,125696.26,0
409,15701376,K'ung,668,Germany,Male,37,10,152958.29,2,1,1,159585.61,0
410,15691625,Ko,537,Germany,Female,41,3,138306.34,1,1,0,106761.47,0
411,15566594,McKenzie,709,Spain,Male,23,10,0,2,0,0,129590.18,0
412,15760431,Pino,850,France,Male,38,1,0,2,1,1,80006.65,0
413,15686302,Fisk,745,Spain,Female,31,3,124328.84,1,1,1,140451.52,0
414,15801559,Chiang,693,Germany,Female,41,9,181461.48,3,1,1,187929.43,1
415,15810432,Moseley,795,Spain,Male,35,8,0,2,1,0,167155.36,0
416,15809616,Hsiung,626,Spain,Male,26,8,0,2,0,0,191420.71,0
417,15720559,Heath,487,Germany,Female,61,5,110368.03,1,0,0,11384.45,1
418,15695632,Dellucci,556,France,Female,39,9,89588.35,1,1,1,94898.1,0
419,15659843,Li,643,France,Female,46,6,0,2,0,0,106781.59,0
420,15615624,De Salis,605,France,Female,28,6,0,2,0,0,159508.52,0
421,15810418,T'ang,756,Germany,Female,60,3,115924.89,1,1,0,93524.19,1
422,15716186,Richardson,586,France,Female,38,2,0,2,1,0,87168.46,0
423,15674551,Fitch,535,Germany,Male,40,7,111756.5,1,1,0,8128.32,1
424,15622834,Stevenson,678,France,Female,35,4,0,1,1,0,125518.32,0
425,15566111,Estes,596,France,Male,39,9,0,1,1,0,48963.59,0
426,15784597,Lattimore,648,France,Male,26,9,162923.85,1,1,0,98368.24,0
427,15652883,Chung,492,Germany,Male,39,10,124576.65,2,1,0,148584.61,0
428,15806964,Utz,702,France,Male,45,0,80793.58,1,1,1,27474.81,0
429,15576313,Wei,486,Germany,Female,40,9,71340.09,1,1,0,76192.21,0
430,15806467,Boyle,568,Germany,Male,40,1,99282.63,1,0,0,134600.94,1
431,15597602,Nwachinemelu,619,Germany,Male,57,3,137946.39,1,1,1,72467.99,1
432,15743040,Kuznetsova,724,Germany,Male,41,2,127892.57,2,0,1,199645.45,0
433,15705521,Pisani,548,Germany,Female,33,0,101084.36,1,1,0,42749.85,0
434,15595039,Manna,545,Germany,Female,37,8,114754.08,1,1,0,136050.44,1
435,15799384,Collier,683,France,Male,33,8,0,1,0,0,73564.44,0
436,15581197,Ricci,762,France,Female,51,3,99286.98,1,0,1,85578.63,0
437,15693737,Carr,627,Germany,Female,30,4,79871.02,2,1,0,129826.89,0
438,15624623,Hs?,516,France,Male,35,10,104088.59,2,0,0,119666,0
439,15783501,Findlay,800,France,Female,38,2,168190.33,2,1,0,68052.08,0
440,15690134,Hughes,464,Germany,Female,42,3,85679.25,1,1,1,164104.74,0
441,15782735,Chukwuemeka,626,France,Female,35,3,0,1,0,0,80190.36,0
442,15611088,Genovese,790,France,Female,31,9,0,2,1,0,84126.75,0
443,15672145,Swift,534,France,Female,34,7,121551.58,2,1,1,70179,0
444,15732628,Ugoji,745,France,Male,46,2,122220.19,1,1,1,118024.1,0
445,15787470,Parkinson,553,Spain,Male,47,3,116528.15,1,0,0,145704.19,1
446,15803406,Ross,748,France,Female,26,1,77780.29,1,0,1,183049.41,0
447,15730460,Oleary,722,France,Male,37,2,0,1,0,0,120906.83,0
448,15644572,Turnbull,501,France,Male,40,4,125832.2,1,1,1,100433.83,0
449,15694860,Uspensky,675,France,Female,38,6,68065.8,1,0,0,138777,1
450,15658169,Cook,778,Spain,Female,47,6,127299.34,2,1,0,124694.99,0
451,15794396,Newbold,494,Germany,Female,38,7,174937.64,1,1,0,40084.32,0
452,15785798,Uchechukwu,850,France,Male,40,9,0,2,0,1,119232.33,0
453,15710825,Ch'en,592,Spain,Male,31,7,110071.1,1,0,0,43921.36,0
454,15668444,He,590,Spain,Female,44,3,139432.37,1,1,0,62222.81,0
455,15726631,Hilton,758,France,Female,39,6,127357.76,1,0,1,56577,0
456,15733797,Sal,506,France,Male,36,5,0,2,1,0,164253.35,0
457,15747960,Eluemuno,733,France,Male,33,3,0,1,1,1,7666.73,0
458,15634632,Titus,711,France,Male,38,3,0,2,1,0,68487.51,0
459,15707362,Yin,514,Germany,Male,43,1,95556.31,1,0,1,199273.98,1
460,15662976,Lettiere,637,Spain,Male,37,8,0,1,1,1,186062.36,0
461,15732778,Templeman,468,Germany,Male,29,1,111681.98,2,1,1,195711.16,0
462,15718443,Chibuzo,539,France,Male,39,3,0,2,1,0,36692.17,0
463,15670039,Sun,509,Spain,Female,25,3,108738.71,2,1,0,106920.57,0
464,15773792,Evans,662,France,Female,32,4,133950.37,1,1,1,48725.68,1
465,15613786,Ogbonnaya,818,Spain,Male,26,4,0,2,1,1,167036.94,0
466,15726032,Enyinnaya,608,France,Male,33,9,89968.69,1,1,0,68777.26,0
467,15663252,Olisanugo,850,Spain,Female,32,9,0,2,1,1,18924.92,0
468,15593782,Brookes,816,Germany,Female,38,5,130878.75,3,1,0,71905.77,1
469,15633283,Padovano,536,France,Male,35,8,0,2,1,0,64833.28,0
470,15749167,Fisk,753,France,Male,35,3,0,2,1,1,184843.77,0
471,15759298,Shih,631,Spain,Male,27,10,134169.62,1,1,1,176730.02,0
472,15683625,Hare,703,France,Male,37,1,149762.08,1,1,0,20629.4,1
473,15635367,Muir,774,France,Male,26,2,93844.69,1,1,0,28415.36,0
474,15681705,Fanucci,785,France,Male,28,8,0,2,1,0,77231.27,0
475,15603156,Elewechi,571,France,Female,33,1,0,2,1,0,102750.7,0
476,15591986,Johnston,621,Germany,Male,46,6,141078.37,1,0,0,34580.8,1
477,15798888,Pisano,605,Germany,Female,31,1,117992.59,1,1,1,183598.77,0
478,15809722,Ankudinov,611,France,Female,40,8,100812.33,2,1,0,147358.27,0
479,15677538,Nwokike,569,France,Male,38,7,0,1,1,1,108469.2,0
480,15797736,Smith,658,France,Male,29,4,80262.6,1,1,1,20612.82,0
481,15695585,Atkins,788,Spain,Male,34,6,156478.62,1,0,1,181196.76,0
482,15744398,Burns,525,France,Female,23,5,0,2,1,0,160249.1,0
483,15750658,Obiuto,798,France,Male,37,8,0,3,0,0,110783.28,0
484,15578186,Pirozzi,486,Germany,Male,37,9,115217.99,2,1,0,144995.33,0
485,15676519,George,615,Spain,Male,61,9,0,2,1,0,150227.85,1
486,15637954,Lewis,730,France,Female,35,0,155470.55,1,1,1,53718.28,0
487,15758639,Moran,641,France,Male,37,7,0,2,1,0,75248.3,0
488,15613772,Dalrymple,542,France,Male,39,3,135096.77,1,1,1,14353.43,1
489,15731744,Carslaw,692,France,Male,30,2,0,2,0,1,130486.57,0
490,15807709,Kirby,714,Germany,Female,55,9,180075.22,1,1,1,100127.71,0
491,15714689,Houghton,591,Spain,Male,29,1,97541.24,1,1,1,196356.17,0
492,15699005,Martin,710,France,Female,41,2,156067.05,1,1,1,9983.88,0
493,15624170,Tan,639,France,Female,38,4,81550.94,2,0,1,118974.77,0
494,15725679,Hsia,531,France,Female,47,6,0,1,0,0,194998.34,1
495,15585865,Westerberg,673,France,Female,38,2,170061.92,2,0,0,134901.34,1
496,15804256,Hale,765,Germany,Male,36,8,92310.54,2,1,1,72924.56,0
497,15662403,Kryukova,622,France,Female,32,6,169089.38,2,1,0,101057.95,0
498,15733616,Sopuluchukwu,806,France,Male,40,5,80613.93,1,1,1,142838.64,0
499,15591995,Barry,757,Germany,Male,26,8,121581.56,2,1,1,127059.04,0
500,15677020,Selezneva,570,France,Female,58,8,0,1,0,1,116503.92,1
501,15727688,Chizuoke,555,Spain,Male,32,4,0,2,1,1,54405.79,0
502,15715941,Lueck,692,France,Male,54,5,0,2,1,1,88721.84,0
503,15714485,Udinese,774,France,Male,60,5,85891.55,1,1,0,74135.48,1
504,15730059,Udobata,638,Spain,Male,44,9,77637.35,2,1,1,111346.22,0
505,15715527,Freeman,543,Spain,Female,41,4,0,1,0,0,194902.16,0
506,15576623,Outlaw,584,France,Male,31,5,0,2,1,0,31474.27,0
507,15805565,Obiuto,691,Germany,Male,30,7,116927.89,1,1,0,21198.39,0
508,15677307,Lo,684,Germany,Female,40,6,137326.65,1,1,0,186976.6,0
509,15773890,Okechukwu,733,France,Male,22,5,0,2,1,1,117202.19,0
510,15598883,King,599,Spain,Female,37,2,0,2,1,1,143739.29,0
511,15568506,Forbes,524,Germany,Female,31,10,67238.98,2,1,1,161811.23,0
512,15761043,Macleod,632,Germany,Female,38,6,86569.76,2,1,0,98090.91,0
513,15782236,Gibbs,735,Spain,Male,34,5,0,2,0,0,71095.41,0
514,15593601,Isayev,734,France,Male,34,6,133598.4,1,1,1,13107.24,0
515,15682048,Pisano,605,France,Female,51,3,136188.78,1,1,1,67110.59,1
516,15746902,Belstead,793,Spain,Male,38,9,0,2,1,0,88225.02,0
517,15752081,Vassiliev,468,France,Female,56,10,0,3,0,1,62256.87,1
518,15781307,Schneider,779,Germany,Male,37,7,120092.52,2,1,0,135925.72,0
519,15775912,Mazzanti,698,France,Male,48,4,101238.24,2,0,1,177815.87,1
520,15745417,Knipe,707,France,Male,58,6,89685.92,1,0,1,126471.13,0
521,15671256,Macartney,850,France,Female,35,1,211774.31,1,1,0,188574.12,1
522,15653547,Madukwe,850,France,Male,56,7,131317.48,1,1,1,119175.45,0
523,15595766,Watts,527,Spain,Male,37,5,93722.73,2,1,1,139093.73,0
524,15742358,Humphreys,696,Germany,Male,32,8,101160.99,1,1,1,115916.55,0
525,15763274,Wu,661,France,Male,48,3,120320.54,1,0,0,96463.25,0
526,15786063,Chin,776,France,Female,31,2,0,2,1,1,112349.51,0
527,15600258,Chesnokova,701,France,Male,43,2,0,2,1,1,165303.79,0
528,15573318,Kung,610,France,Male,26,8,0,2,1,0,166031.08,0
529,15653849,Lu,572,Germany,Female,48,3,152827.99,1,1,0,38411.79,1
530,15694272,Nkemakolam,673,France,Male,30,1,64097.75,1,1,1,77783.35,0
531,15736112,Walton,519,Spain,Female,57,2,119035.35,2,1,1,29871.79,0
532,15749851,Brookes,702,Spain,Female,26,4,135219.57,1,0,1,59747.63,0
533,15663478,Baldwin,729,France,Male,32,6,93694.42,1,1,1,79919.13,0
534,15592300,Mai,543,Spain,Male,35,10,59408.63,1,1,0,76773.53,0
535,15567832,Shih,550,France,Female,40,7,114354.95,1,1,0,54018.93,0
536,15776780,He,608,France,Male,59,1,0,1,1,0,70649.64,1
537,15592846,Fiorentini,639,Germany,Male,35,10,128173.9,2,1,0,59093.39,0
538,15739803,Lucciano,686,Spain,Male,34,9,0,2,1,0,127569.8,0
539,15794142,Ferreira,564,Germany,Female,62,5,114931.35,3,0,1,18260.98,1
540,15762729,Ukaegbunam,745,Germany,Female,28,1,111071.36,1,1,0,73275.96,1
541,15667896,De Luca,833,France,Male,37,8,151226.18,2,1,1,136129.49,0
542,15626578,Milne,622,France,Male,26,9,0,2,1,1,153237.59,0
543,15776223,Davide,597,France,Female,42,4,64740.12,1,1,1,106841.12,0
544,15705953,Kodilinyechukwu,721,Spain,Male,51,0,169312.13,1,1,0,109078.35,1
545,15802593,Little,504,France,Female,49,7,0,3,0,1,87822.14,1
546,15615457,Burns,842,Spain,Female,44,2,112652.08,2,1,0,126644.98,0
547,15708916,Paterson,587,France,Male,38,0,0,2,1,0,47414.15,0
548,15720187,Han,479,Germany,Female,30,7,143964.36,2,1,0,41879.99,0
549,15595440,Kryukova,508,France,Male,49,7,122451.46,2,1,1,75808.1,0
550,15600651,Ijendu,749,France,Male,24,1,0,3,1,1,47911.03,0
551,15750141,Reichard,721,Germany,Female,36,3,65253.07,2,1,0,28737.78,0
552,15657284,Day,674,Germany,Male,47,6,106901.94,1,1,1,2079.2,1
553,15763063,Price,685,Spain,Female,25,10,128509.63,1,1,0,121562.33,0
554,15709324,Bruce,417,France,Male,34,7,0,2,1,0,55003.79,0
555,15711309,Sumrall,574,Germany,Male,33,3,129834.67,1,1,0,193131.42,0
556,15775318,Lu,590,Spain,Female,51,3,154962.99,3,0,1,191932.27,1
557,15705515,Lazarev,587,Germany,Male,40,5,138241.9,2,1,0,159418.1,0
558,15634844,Miller,598,Germany,Male,41,3,91536.93,1,1,0,191468.78,1
559,15717046,Wentworth-Shields,741,Spain,Male,53,3,0,2,1,1,38913.68,0
560,15571816,Ritchie,850,Spain,Female,70,5,0,1,1,1,705.18,0
561,15670080,Mackenzie,584,Germany,Female,29,7,105204.01,1,0,1,138490.03,0
562,15800440,Power,650,Spain,Male,61,1,152968.73,1,0,1,82970.69,0
563,15665678,Tan,607,Spain,Male,36,8,158261.68,1,1,1,76744.72,0
564,15665956,Pendergrass,509,France,Female,46,1,0,1,1,0,71244.59,1
565,15788126,Evans,689,Spain,Female,38,6,121021.05,1,1,1,12182.15,0
566,15811773,Hsia,543,France,Male,36,4,0,2,1,1,141210.5,0
567,15651674,Billson,438,Spain,Female,54,2,0,1,0,0,191763.07,1
568,15689614,Teng,687,Spain,Female,63,1,137715.66,1,1,1,37938.74,0
569,15795564,Moretti,737,Germany,Male,31,5,121192.22,2,1,1,74890.58,0
570,15706647,Jordan,761,France,Male,31,7,0,3,1,1,166698.18,0
571,15728505,Ts'ao,601,France,Male,44,1,100486.18,2,1,1,62678.53,0
572,15730076,Osborne,651,France,Male,45,1,0,1,1,0,67740.08,1
573,15622003,Carslaw,745,France,Male,35,9,92566.53,2,1,0,161519.77,0
574,15607312,Ch'ang,648,Spain,Female,49,10,0,2,1,1,159835.78,1
575,15644753,Hung,848,Spain,Male,40,3,110929.96,1,1,1,30876.84,0
576,15653620,Gordon,546,France,Female,27,8,0,2,1,1,14858.1,0
577,15761986,Obialo,439,Spain,Female,32,3,138901.61,1,1,0,75685.97,0
578,15633922,Gray,755,France,Male,30,4,123217.66,2,0,1,144183.1,0
579,15734674,Lin,593,France,Female,41,6,0,1,1,0,65170.66,0
580,15658032,Hopkins,701,France,Male,39,2,0,2,1,1,82526.92,0
581,15692671,Dobson,701,Spain,Male,36,8,0,2,1,0,169161.46,0
582,15737741,McKay,607,Spain,Female,33,2,108431.87,2,0,1,109291.39,1
583,15576352,Revell,586,Spain,Female,57,3,0,2,0,1,6057.81,0
584,15753719,Rickards,547,Germany,Female,30,9,72392.41,1,1,0,77077.14,0
585,15803689,Begum,647,Germany,Female,51,1,119741.77,2,0,0,54954.51,1
586,15718057,Onyinyechukwuka,760,France,Female,51,2,100946.71,1,0,0,179614.8,1
587,15722010,Zuyev,621,Spain,Male,53,9,170491.84,1,1,0,35588.07,1
588,15680998,Nwankwo,725,France,Male,44,5,0,1,1,1,117356.14,0
589,15614782,Hao,526,France,Male,36,1,0,1,1,0,160696.72,0
590,15591047,Ma,519,Spain,Female,47,6,157296.02,2,0,0,147278.43,1
591,15788291,Okwuadigbo,713,Germany,Female,38,7,144606.22,1,1,1,56594.36,1
592,15604044,Mitchell,700,France,Male,38,8,134811.3,1,1,0,1299.75,0
593,15679587,Chan,666,France,Female,34,9,115897.12,1,1,1,25095.03,0
594,15775153,Buchi,630,Spain,Male,32,4,82034,1,0,0,146326.45,0
595,15603925,Greco,779,Spain,Female,26,4,174318.13,2,0,1,38296.21,0
596,15680970,Lombardi,611,Germany,Female,41,2,114206.84,1,1,0,164061.6,0
597,15697183,Uchenna,685,Spain,Male,43,9,0,2,1,0,107811.28,0
598,15567446,Coffman,646,Germany,Male,39,9,111574.41,1,1,1,30838.51,0
599,15637476,Alexandrova,683,Germany,Female,57,5,162448.69,1,0,0,9221.78,1
600,15714939,Fallaci,484,Germany,Female,34,4,148249.54,1,0,1,33738.27,0
601,15683503,Hudson,601,France,Female,43,8,0,3,0,1,110916.15,1
602,15645569,Mai,762,Spain,Female,26,7,123709.46,2,1,1,169654.57,0
603,15782569,Stout,687,France,Female,72,9,0,1,0,1,69829.4,0
604,15592387,Burke,566,France,Male,30,5,0,1,1,0,54926.51,1
605,15609286,Chadwick,702,France,Male,37,10,150525.8,1,1,1,94728.49,0
606,15814035,Lawrence,601,France,Male,29,9,0,1,1,1,80393.27,0
607,15661249,Bellucci,699,France,Male,53,4,0,2,0,1,111307.98,0
608,15629117,Harper,584,France,Male,28,10,0,2,1,0,19834.32,0
609,15607170,Boyle,699,France,Male,35,5,0,2,1,1,78397.24,0
610,15586585,Duncan,698,Germany,Female,51,2,111018.98,1,1,0,86410.28,0
611,15686611,Moss,495,France,Male,30,10,129755.99,1,0,0,172749.65,0
612,15603203,Avdeyeva,650,France,Female,27,6,0,2,1,0,1002.39,0
613,15619857,Crawford,605,France,Female,64,2,129555.7,1,1,1,13601.79,0
614,15805062,Lynton,667,Spain,Male,38,1,87202.38,1,1,1,77866.91,0
615,15660271,Duncan,688,Germany,Male,26,8,146133.39,1,1,1,175296.76,0
616,15745295,Gether,727,Spain,Female,31,0,0,1,1,0,121751.04,1
617,15719352,Davidson,754,Spain,Male,39,6,170184.99,2,1,0,89593.26,0
618,15766575,Larionova,612,Germany,Female,62,8,140745.33,1,1,0,193437.89,1
619,15594594,Loggia,546,Spain,Male,42,7,139070.51,1,1,1,86945,0
620,15646161,Steinhoff,673,Spain,Female,37,8,0,2,1,1,183318.79,0
621,15682585,Guerra,593,France,Male,35,9,114193.24,1,1,0,71154.1,0
622,15603134,Pai,656,Spain,Female,40,10,167878.5,1,0,1,151887.16,0
623,15636444,Craig,535,Germany,Female,53,5,141616.55,2,1,1,75888.65,0
624,15773456,Lazareva,678,Germany,Male,36,3,145747.67,2,0,1,89566.74,0
625,15745307,Ch'iu,477,Spain,Female,48,2,129120.64,1,0,1,26475.79,0
626,15604119,Alderete,850,Spain,Male,35,7,110349.82,1,0,0,126355.8,0
627,15626900,Kung,427,France,Male,29,1,141325.56,1,1,1,93839.3,0
628,15605447,Palermo,752,France,Male,49,2,78653.84,1,1,0,7698.6,0
629,15589030,Ts'ai,649,France,Male,47,1,0,2,1,1,145593.85,0
630,15692463,Rahman,799,Spain,Female,28,3,142253.65,1,1,0,45042.56,0
631,15712403,McMillan,589,France,Female,61,1,0,1,1,0,61108.56,1
632,15811762,Pickering,583,Germany,Female,54,6,115988.86,1,1,0,57553.98,1
633,15718673,Mirams,839,Spain,Female,33,10,75592.43,1,1,0,62674.42,0
634,15724282,Tsao,540,Germany,Male,44,3,164113.04,2,1,1,12120.79,0
635,15738181,Douglas,850,France,Male,31,6,67996.23,2,0,0,50129.87,1
636,15633648,Jideofor,696,Spain,Female,51,5,0,2,1,0,55022.43,0
637,15603323,Bell,660,Spain,Female,33,1,0,2,0,0,117834.91,0
638,15583725,Mairinger,682,France,Male,48,1,138778.15,1,0,1,168840.23,0
639,15588350,McIntyre,744,France,Female,43,10,147832.15,1,0,1,24234.11,0
640,15798398,Pagnotto,785,France,Female,36,4,135438.4,1,0,0,190627.01,0
641,15784844,K'ung,752,Spain,Male,48,5,116060.08,1,1,0,156618.38,1
642,15580684,Feng,706,France,Female,29,5,112564.62,1,1,0,42334.38,0
643,15809663,Donaldson,583,France,Female,27,1,125406.58,1,1,1,110784.42,0
644,15640078,Chambers,660,Germany,Female,39,5,135134.99,1,1,0,173683,1
645,15698786,Marcelo,819,France,Female,39,9,133102.92,1,1,0,27046.46,1
646,15569807,Ejimofor,673,France,Female,34,8,42157.08,1,1,0,20598.59,1
647,15730830,Dale,752,France,Female,30,3,0,2,1,1,104991.28,0
648,15805112,Pokrovsky,578,France,Male,38,7,82259.29,1,1,0,8996.97,0
649,15633064,Stonebraker,438,France,Female,36,4,0,2,1,0,64420.5,0
650,15703119,Liang,652,France,Male,38,6,0,2,1,1,145700.22,0
651,15730447,Anderson,629,France,Female,49,4,0,2,1,1,196335.48,0
652,15813850,Christian,720,France,Male,52,7,0,1,1,1,14781.12,0
653,15711889,Mao,668,France,Male,42,3,150461.07,1,1,0,108139.23,0
654,15664610,Campbell,459,Germany,Male,48,4,133994.52,1,1,1,19287.06,1
655,15751710,Ginikanwa,729,Spain,Male,31,8,164870.81,2,1,1,9567.39,0
656,15692926,Toscani,498,Germany,Male,25,8,121702.73,1,1,1,132210.49,0
657,15813741,Nnachetam,549,Spain,Male,25,6,193858.2,1,0,1,21600.11,0
658,15698474,Sagese,601,Germany,Female,54,1,131039.97,2,1,1,199661.5,0
659,15568595,Fleming,544,France,Male,64,9,113829.45,1,1,1,124341.49,0
660,15603065,Grubb,751,France,Female,30,6,0,2,1,0,15766.1,0
661,15592937,Napolitani,632,Germany,Female,41,3,81877.38,1,1,1,33642.21,0
662,15699637,Anenechi,694,Spain,Male,57,8,116326.07,1,1,1,117704.65,0
663,15667215,Chandler,678,France,Male,31,2,0,2,1,1,58803.28,0
664,15788659,Howells,695,France,Male,46,4,0,2,1,1,137537.22,0
665,15763218,Akeroyd,661,France,Female,41,1,0,2,0,1,131300.68,0
666,15645772,Onwumelu,661,France,Male,33,9,0,2,1,1,84174.81,0
667,15725511,Wallace,559,France,Female,31,3,127070.73,1,0,1,160941.78,0
668,15575024,Uwaezuoke,503,France,Male,29,3,0,2,1,1,143954.99,0
669,15640825,Loyau,695,Spain,Male,46,3,122549.64,1,1,1,56297.85,0
670,15662397,Small,640,France,Female,42,5,176099.13,1,1,1,8404.73,0
671,15576368,Bledsoe,624,Germany,Female,48,3,122388.38,2,0,0,30020.09,0
672,15674991,Kao,667,France,Male,42,9,0,2,0,1,58137.42,0
673,15721024,Wickens,642,France,Male,26,0,0,1,0,0,47472.68,0
674,15745621,Wertheim,640,Spain,Female,32,6,118879.35,2,1,1,19131.71,0
675,15642394,He,529,Spain,Male,35,5,0,2,1,1,187288.5,0
676,15754605,Jarvis,563,France,Female,39,5,0,2,1,1,17603.81,0
677,15607040,P'an,593,Spain,Female,38,4,88736.44,2,1,0,67020.03,0
678,15715142,Repina,739,Germany,Male,45,7,102703.62,1,0,1,147802.94,1
679,15810978,Pugliesi,788,Spain,Female,70,1,0,2,1,1,41610.62,0
680,15668886,Blakey,684,Spain,Female,38,3,0,2,1,0,44255.65,0
681,15780804,Nucci,482,France,Male,55,5,97318.25,1,0,1,78416.14,0
682,15613880,Higinbotham,591,Spain,Male,58,5,128468.69,1,0,1,137254.55,0
683,15775238,Achebe,651,Germany,Female,41,4,133432.59,1,0,1,151303.48,0
684,15786905,Russo,749,Germany,Female,40,8,141782.57,2,0,0,86333.63,0
685,15747867,Trevisani,583,France,Male,24,9,135125.28,1,0,0,89801.9,0
686,15600337,Dobie,661,Spain,Male,42,2,178820.91,1,0,0,29358.57,1
687,15801277,Maccallum,715,France,Female,31,2,112212.14,2,1,1,181600.72,0
688,15579334,Watkins,769,Germany,Female,45,5,126674.81,1,1,0,124118.71,1
689,15802741,Mitchel,625,France,Female,51,7,136294.97,1,1,0,38867.46,1
690,15720649,Ferdinand,641,France,Female,36,5,66392.64,1,1,0,31106.67,0
691,15589493,Otitodilinna,716,Germany,Male,27,1,122552.34,2,1,0,67611.36,0
692,15688251,Mamelu,767,France,Male,43,1,76408.85,2,1,0,77837.63,0
693,15665238,Beneventi,745,Germany,Male,36,8,145071.24,1,0,0,6078.46,0
694,15740900,Perrodin,589,France,Male,34,6,0,2,1,1,177896.92,0
695,15681068,Chinagorom,796,France,Female,45,2,109730.22,1,1,1,123882.73,0
696,15748625,Napolitano,664,France,Male,57,6,0,2,1,1,15304.08,0
697,15727299,Edgar,445,Spain,Male,62,1,64119.38,1,1,1,76569.64,1
698,15620204,Walker,543,Germany,Female,57,1,106138.33,2,1,1,120657.32,1
699,15669516,Steele,746,Spain,Male,36,2,0,2,1,1,16436.56,0
700,15736534,Elkins,742,Germany,Male,33,0,181656.51,1,1,1,107667.91,0
701,15803457,Hao,750,France,Female,32,5,0,2,1,0,95611.47,0
702,15659098,Toscano,669,France,Male,30,7,95128.86,1,0,0,19799.26,0
703,15603436,Savage,594,Spain,Female,49,2,126615.94,2,0,1,123214.74,0
704,15566292,Okwuadigbo,574,Spain,Male,36,1,0,2,0,1,71709.12,0
705,15808621,Mordvinova,659,Germany,Male,36,2,76190.48,2,1,1,149066.14,0
706,15580148,Welch,750,Germany,Male,40,5,168286.81,3,1,0,20451.99,1
707,15776231,Kent,626,Germany,Male,35,4,88109.81,1,1,1,32825.5,0
708,15773809,Campbell,620,France,Male,42,4,0,2,1,0,6232.31,0
709,15649423,Cooper,580,France,Female,35,8,0,2,0,1,10357.03,0
710,15734886,Mazzi,686,France,Female,34,3,123971.51,2,1,0,147794.63,0
711,15722548,Fisher,540,France,Male,48,0,148116.48,1,0,0,116973.48,0
712,15650288,Summers,634,Germany,Male,35,6,116269.01,1,1,0,129964.94,0
713,15629448,Brady,632,Spain,Male,38,1,120599.21,1,1,0,92816.86,0
714,15716164,Nicholls,501,France,Female,41,3,144260.5,1,1,0,172114.67,0
715,15807609,Yuan,650,Spain,Female,25,3,86605.5,3,1,0,16649.31,1
716,15578977,Robinson,786,France,Male,34,9,0,2,1,0,144517.19,0
717,15677369,Golubov,554,Germany,Female,37,4,58629.97,1,0,0,182038.6,0
718,15804072,Chen,701,Spain,Female,42,5,0,2,0,0,24210.56,0
719,15696859,Oldham,474,France,Male,45,10,0,2,0,0,172175.9,0
720,15653780,Kambinachi,621,France,Female,43,5,0,1,1,1,47578.45,0
721,15721658,Fleming,672,Spain,Female,56,2,209767.31,2,1,1,150694.42,1
722,15578761,Cunningham,459,Spain,Female,42,6,129634.25,2,1,1,177683.02,1
723,15736879,Obinna,669,France,Male,23,1,0,2,0,0,66088.83,0
724,15571973,Chinwemma,776,France,Female,38,2,169824.46,1,1,0,169291.7,0
725,15626742,Carpenter,694,France,Male,36,3,97530.25,1,1,1,117140.41,0
726,15672692,Yin,787,France,Female,42,10,145988.65,2,1,1,79510.37,0
727,15673570,Olsen,580,France,Male,37,9,0,2,0,1,77108.66,0
728,15767432,Ts'ai,711,France,Female,25,7,0,3,1,1,9679.28,0
729,15654238,Jen,673,France,Female,40,5,137494.28,1,1,0,81753.92,0
730,15612525,Preston,499,France,Female,57,1,0,1,0,0,131372.38,1
731,15812750,Ozioma,591,France,Male,24,6,147360,1,1,1,25310.82,0
732,15790757,Cody,769,France,Female,25,10,0,2,0,0,187925.75,0
733,15723873,Ponomarev,657,Spain,Male,31,3,125167.02,1,0,0,98820.39,0
734,15744607,Martin,738,Germany,Male,43,9,121152.05,2,1,0,64166.7,1
735,15612966,Milani,545,Germany,Female,60,7,128981.07,1,0,1,176924.21,1
736,15784209,Tang,497,France,Male,47,6,0,1,1,1,90055.08,0
737,15794278,Romani,816,Spain,Male,67,6,151858.98,1,1,1,72814.31,0
738,15766741,McIntyre,525,France,Male,36,2,114628.4,1,0,1,168290.06,0
739,15661036,Davis,725,France,Male,46,6,0,2,1,0,161767.38,0
740,15705639,Onyemauchechukwu,692,France,Female,28,8,95059.02,2,1,0,44420.18,0
741,15637414,Gell,618,France,Female,24,7,128736.39,1,0,1,37147.61,0
742,15716835,Rossi,546,France,Male,24,8,156325.38,1,1,1,125381.02,0
743,15696231,Chiwetelu,635,France,Male,29,7,105405.97,1,1,1,149853.89,0
744,15641675,Kirillova,611,France,Female,49,2,88915.37,3,0,0,161435.02,1
745,15670755,Shaw,650,France,Male,60,8,0,2,1,1,102925.76,0
746,15640059,Smith,606,France,Male,40,5,0,2,1,1,70899.27,0
747,15787619,Hsieh,844,France,Male,18,2,160980.03,1,0,0,145936.28,0
748,15587535,Onyemauchechukwu,450,Spain,Female,46,5,177619.71,1,1,0,54227.06,0
749,15813034,Martin,727,Spain,Male,38,2,62276.99,1,1,1,59280.79,0
750,15698839,Okwudilichukwu,460,Germany,Male,46,4,127559.97,2,1,1,126952.5,0
751,15790314,Onuoha,649,France,Male,41,0,0,2,0,1,130567.02,0
752,15634245,Muecke,758,Germany,Female,47,9,95523.16,1,1,0,73294.48,0
753,15677305,Hsieh,490,France,Female,35,7,107749.03,1,1,1,3937.37,0
754,15661526,Anderson,815,Germany,Male,37,2,110777.26,2,1,0,2383.59,0
755,15685997,Azubuike,838,Spain,Female,39,5,166733.92,2,1,0,14279.44,0
756,15660101,Nnonso,803,France,Male,31,9,157120.86,2,1,0,141300.53,0
757,15637979,Fuller,664,Germany,Female,36,2,127160.78,2,1,0,78140.75,0
758,15815364,Ashley,736,Spain,Female,28,2,0,2,1,1,117431.1,0
759,15647099,Ts'ui,633,France,Female,37,9,156091.97,1,1,0,72008.61,0
760,15625944,Buccho,664,France,Male,58,5,98668.18,1,1,1,60887.58,0
761,15583212,Chidozie,600,France,Female,43,5,134022.06,1,1,0,194764.83,0
762,15582741,Maclean,693,France,Female,35,5,124151.09,1,1,0,88705.14,1
763,15637876,Burns,663,Germany,Female,36,6,77253.5,1,0,0,35817.97,1
764,15622750,Chu,742,Germany,Female,21,1,114292.48,1,1,0,31520.4,0
765,15672056,Kenenna,710,Germany,Male,43,2,140080.32,3,1,1,157908.19,1
766,15812351,Beluchi,710,Spain,Female,27,2,135277.96,1,1,0,142200.15,0
767,15810864,Williamson,700,France,Female,82,2,0,2,0,1,182055.36,0
768,15677921,Bobrov,720,Germany,Male,60,9,115920.62,2,0,0,157552.08,1
769,15724296,Kerr,684,Spain,Male,41,2,119782.72,2,0,0,120284.67,0
770,15685329,McKenzie,531,France,Female,63,1,114715.71,1,0,1,24506.95,1
771,15584091,Pitts,742,Germany,Female,36,2,129748.54,2,0,0,47271.61,1
772,15640442,Standish,717,France,Male,31,4,129722.57,1,0,0,41176.6,0
773,15639314,Cartwright,589,France,Male,32,2,0,2,0,1,9468.64,0
774,15685320,Johnstone,767,France,Male,36,3,139180.2,1,0,0,123880.19,0
775,15789158,Nikitina,636,Germany,Male,49,6,113599.74,2,1,0,158887.09,1
776,15752137,McElroy,648,France,Male,33,7,134944,1,1,1,117036.38,0
777,15712551,Shen,622,Germany,Female,58,7,116922.25,1,1,0,120415.61,1
778,15628936,Archer,692,Spain,Male,28,9,118945.09,1,0,0,16064.25,1
779,15797227,Otutodilinna,754,France,Male,28,8,0,2,1,1,52615.62,0
780,15769974,Shih,679,Spain,Female,35,8,119182.73,1,0,0,121210.09,0
781,15737051,Denisov,639,France,Male,27,8,0,2,1,0,192247.35,0
782,15585595,Owens,774,France,Female,28,1,71264.02,2,0,1,68759.57,0
783,15654060,P'eng,517,France,Male,41,2,0,2,0,1,75937.47,0
784,15745196,Verco,571,France,Female,35,8,0,2,0,0,84569.13,0
785,15571221,Bergamaschi,747,Germany,Male,58,7,116313.57,1,1,1,190696.35,1
786,15660155,Lorenzo,792,Spain,Male,36,5,92140.15,1,0,1,67468.67,0
787,15605284,Outtrim,688,France,Male,26,1,0,2,1,1,104435.94,0
788,15694366,Hou,714,Germany,Male,42,2,177640.09,1,0,1,47166.55,0
789,15600739,Galkin,562,Spain,Female,35,0,0,2,1,0,119899.52,0
790,15653253,Pagnotto,704,Spain,Male,48,8,167997.6,1,1,1,173498.45,0
791,15763431,Echezonachukwu,698,France,Male,36,2,82275.35,2,1,1,93249.26,0
792,15643696,Young,611,France,Male,49,3,0,2,1,1,142917.54,0
793,15707473,Summers,850,Germany,Female,48,6,111962.99,1,1,0,111755.8,0
794,15769504,Munro,743,Germany,Female,34,1,131736.88,1,1,1,108543.21,0
795,15776807,Brennan,654,France,Male,29,1,0,1,1,0,180345.44,0
796,15686870,Ball,761,Germany,Male,36,8,108239.11,2,0,0,99444.02,0
797,15668747,Virgo,702,France,Female,46,9,98444.19,1,0,1,109563.28,0
798,15766908,Trevisani,488,Germany,Male,32,3,114540.38,1,1,0,92568.07,0
799,15570134,Padovano,683,France,Female,35,6,187530.66,2,1,1,37976.36,0
800,15567367,Tao,601,Germany,Female,42,9,133636.16,1,0,1,103315.74,0
801,15747542,Perez,605,France,Male,52,7,0,2,1,1,173952.5,0
802,15762238,Fraser,671,Germany,Female,44,0,84745.03,2,0,1,34673.98,0
803,15681554,Alley,614,Germany,Female,31,7,120599.38,2,1,1,46163.44,0
804,15712825,Howells,511,Spain,Female,29,9,0,2,0,1,140676.98,0
805,15640280,Cameron,850,France,Male,39,4,127771.35,2,0,1,151738.54,0
806,15756026,Hooper,790,Spain,Female,46,9,0,1,0,0,14679.81,1
807,15613319,Rice,793,France,Female,33,0,0,1,0,0,175544.02,0
808,15798906,Cox,628,France,Male,69,5,0,2,1,1,181964.6,0
809,15708917,Martin,598,Germany,Male,53,10,167772.96,1,1,1,136886.86,0
810,15778463,Ikenna,657,France,Female,37,6,95845.6,1,1,0,122218.23,0
811,15699430,Davide,618,France,Female,35,10,0,2,1,0,180439.75,0
812,15649992,Alexander,681,Spain,Male,65,7,134714.7,2,0,1,190419.81,0
813,15578980,Piazza,516,Spain,Female,33,3,0,2,1,1,58685.59,0
814,15775306,Ni,421,Germany,Male,28,8,122384.22,3,1,1,89017.38,1
815,15641655,Black,700,France,Female,26,2,0,2,0,0,50051.42,0
816,15619708,Harker,745,France,Male,25,5,157993.15,2,1,0,146041.45,0
817,15734565,Hughes,696,France,Male,29,8,0,2,1,0,191166.09,0
818,15806438,Chiabuotu,580,Germany,Female,42,2,123331.36,1,0,0,103516.08,1
819,15591969,Kuo,497,Spain,Male,27,9,75263.16,1,1,1,164825.04,0
820,15747807,Gallagher,720,France,Female,43,6,137824.03,2,1,0,172557.77,0
821,15596939,Calabresi,659,Germany,Male,36,4,132578.92,2,1,0,84320.94,0
822,15716155,Shaw,841,France,Female,36,5,156021.31,1,0,0,122662.98,0
823,15765311,Zhirov,642,Spain,Male,34,8,0,1,1,0,72085.1,0
824,15757811,Lloyd,732,Spain,Female,69,9,137453.43,1,0,1,110932.24,1
825,15603830,Palmer,600,Spain,Male,36,4,0,2,1,0,143635.36,0
826,15660602,Ch'eng,464,Germany,Male,33,8,164284.72,2,1,1,3710.34,0
827,15660535,Avent,680,France,Female,47,5,0,2,1,1,179843.33,0
828,15666633,Huang,758,Spain,Male,56,1,0,2,1,1,10643.38,0
829,15596914,Shaw,630,Germany,Female,31,2,112373.49,2,1,1,131167.98,0
830,15639788,Yuan,577,France,Female,39,10,0,2,1,0,10553.31,0
831,15695846,Hawkins,684,France,Female,34,6,0,2,1,1,130928.22,0
832,15726234,Trentini,708,Spain,Female,41,5,0,1,0,1,157003.99,0
833,15797964,Cameron,732,Germany,Female,29,1,154333.82,1,1,1,138527.56,0
834,15625881,Koehler,634,Germany,Male,37,3,111432.77,2,1,1,167032.49,0
835,15780628,Wu,633,France,Female,30,6,0,2,0,0,41642.29,0
836,15575883,Manna,559,France,Male,34,2,137390.11,2,1,0,9677,0
837,15585036,Okoli,694,Spain,Female,37,3,0,2,1,1,147012.22,0
838,15589488,Ch'eng,686,Germany,Female,56,5,111642.08,1,1,1,80553.87,0
839,15585888,Nwokezuike,553,Spain,Female,48,3,0,1,0,1,30730.95,1
840,15727915,Artemiev,507,France,Male,36,4,83543.37,1,0,0,140134.43,0
841,15707567,Esposito,732,Germany,Male,50,6,145338.76,1,0,0,91936.1,1
842,15737792,Abbie,818,France,Female,31,1,186796.37,1,0,0,178252.63,0
843,15599433,Fanucci,660,Germany,Male,35,8,58641.43,1,0,1,198674.08,0
844,15672012,Jen,773,Spain,Female,41,5,0,1,1,0,28266.9,1
845,15806983,Moss,640,France,Male,44,3,137148.68,1,1,0,92381.01,0
846,15592222,Lo,505,France,Male,49,7,80001.23,1,0,0,135180.11,0
847,15608968,Averyanov,714,Germany,Male,21,6,86402.52,2,0,0,27330.59,0
848,15586959,Unaipon,468,France,Female,42,5,0,2,1,0,125305.34,0
849,15646558,Clamp,611,Spain,Male,51,1,122874.74,1,1,1,149648.45,0
850,15725811,Lim,705,France,Male,25,0,97544.29,1,0,1,59887.15,0
851,15572265,Wu,646,Germany,Male,46,1,170826.55,2,1,0,45041.32,0
852,15794048,Wan,667,Germany,Female,48,1,97133.92,2,0,0,113316.77,1
853,15677610,Chambers,511,Germany,Female,41,8,153895.65,1,1,1,39087.42,0
854,15745012,Pettit,653,France,Female,43,6,0,2,1,1,7330.59,0
855,15601589,Baresi,675,France,Female,57,8,0,2,0,1,95463.29,0
856,15686436,Newbery,523,Spain,Male,32,4,0,2,1,0,167848.02,0
857,15693864,Iheanacho,567,Germany,Female,49,5,134956.02,1,1,0,93953.84,1
858,15760550,Duncan,741,Spain,Male,39,7,143637.58,2,0,1,174227.66,0
859,15686137,Barry,456,Spain,Male,32,9,147506.25,1,1,1,135399.21,0
860,15809087,Landry,598,France,Male,64,1,0,2,1,0,195635.3,1
861,15807663,McGregor,667,France,Male,43,8,190227.46,1,1,0,97508.04,1
862,15809100,Nucci,548,France,Female,32,2,172448.77,1,1,0,188083.77,1
863,15794916,Pirogov,725,France,Male,41,7,113980.21,1,1,1,116704.25,0
864,15614215,Oguejiofor,717,France,Male,53,6,0,2,0,1,97614.87,0
865,15805449,Ugochukwu,594,France,Male,38,4,0,2,0,0,186884.04,0
866,15686983,Rohu,678,Germany,Female,25,10,76968.12,2,0,1,131501.72,0
867,15808017,Cary,545,France,Male,38,1,88293.13,2,1,1,24302.95,0
868,15756804,O'Loghlen,636,France,Female,48,1,170833.46,1,1,0,110510.28,1
869,15646810,Quinn,603,Germany,Male,44,6,108122.39,2,1,0,108488.33,1
870,15710424,Page,435,France,Male,36,4,0,1,1,1,197015.2,0
871,15799422,Evans,535,France,Female,40,8,0,1,1,1,27689.77,0
872,15692750,McGregor,629,Germany,Female,45,7,129818.39,3,1,0,9217.55,1
873,15794549,Andrews,722,France,Female,35,2,163943.89,2,1,1,15068.18,0
874,15803764,Stanley,561,France,Male,28,7,0,2,1,0,7797.01,0
875,15674840,Chiazagomekpere,645,France,Female,38,5,101430.3,2,0,1,4400.32,0
876,15653762,Chidiebele,501,France,Female,39,9,117301.66,1,0,0,182025.95,0
877,15581229,Gregory,502,Germany,Female,32,1,173340.83,1,0,1,122763.95,0
878,15800228,Bednall,652,Spain,Female,42,4,0,2,1,1,38152.01,0
879,15656333,Jen,574,France,Female,33,3,134348.57,1,1,0,63163.99,0
880,15697497,She,518,France,Female,45,9,105525.65,2,1,1,73418.29,0
881,15585362,Simmons,749,France,Female,60,6,0,1,1,0,17978.68,1
882,15571928,Fraser,679,France,Female,43,4,0,3,1,0,115136.51,1
883,15785519,May,565,France,Male,36,6,106192.1,1,1,0,149575.59,0
884,15743007,Seabrook,643,France,Female,45,4,45144.43,1,1,0,60917.24,1
885,15777211,Herrera,515,France,Male,65,7,92113.61,1,1,1,142548.33,0
886,15721935,Kincaid,521,France,Male,25,7,0,2,1,1,157878.67,0
887,15591711,Sleeman,739,Spain,Male,38,0,128366.44,1,1,0,12796.43,0
888,15625021,Hung,585,France,Male,42,2,0,2,1,1,18657.77,0
889,15702968,Artemieva,733,Germany,Male,74,3,106545.53,1,1,1,134589.58,0
890,15600462,Barwell,542,France,Female,43,8,145618.37,1,0,1,10350.74,0
891,15768104,Wright,788,Spain,Male,37,8,141541.25,1,0,0,66013.27,0
892,15780140,Bellucci,435,Germany,Male,32,2,57017.06,2,1,1,5907.11,0
893,15585255,Moore,577,France,Male,42,9,0,1,1,0,74077.91,0
894,15772781,Ball,703,France,Female,51,3,0,3,1,1,77294.56,1
895,15669987,Sung,728,Germany,Female,35,8,125884.95,2,1,0,54359.02,1
896,15697000,Mello,728,Germany,Male,32,5,61825.5,1,1,1,156124.93,0
897,15733119,Mistry,718,France,Male,35,8,0,2,1,0,94820.85,0
898,15782390,T'ien,621,France,Female,40,6,0,1,1,0,155155.25,0
899,15654700,Fallaci,523,France,Female,40,2,102967.41,1,1,0,128702.1,1
900,15632210,Hill,657,Germany,Male,25,2,171770.55,1,1,0,22745.5,0
901,15642041,Burns,727,Germany,Male,40,1,93051.64,2,1,0,71865.31,1
902,15709737,Hunter,643,France,Male,36,7,161064.64,2,0,1,84294.82,0
903,15792388,Li,645,France,Female,48,7,90612.34,1,1,1,149139.13,0
904,15786014,Ku,568,France,Male,28,5,145105.64,2,1,0,185489.11,0
905,15794580,Ch'en,599,France,Male,58,4,0,1,0,0,176407.15,1
906,15675964,Chukwukadibia,672,France,Female,45,9,0,1,1,1,92027.69,1
907,15814275,Zikoranachidimma,685,France,Male,33,6,174912.72,1,1,1,43932.54,0
908,15724848,Oluchukwu,516,France,Female,46,1,104947.72,1,1,0,115789.25,1
909,15754713,Rivera,685,Spain,Male,31,10,135213.71,1,1,1,125777.28,0
910,15693814,Niu,806,Spain,Male,25,7,0,2,1,0,18461.9,0
911,15599660,Bennett,604,France,Male,36,6,116229.85,2,1,1,79633.38,0
912,15746490,Wollstonecraft,648,Spain,Female,53,6,111201.41,1,1,1,121542.29,0
913,15566091,Thomsen,545,Spain,Female,32,4,0,1,1,0,94739.2,0
914,15655961,Palermo,756,Germany,Male,27,1,131899,1,1,0,93302.29,0
915,15710404,Chinwendu,569,France,Male,35,10,124525.52,1,1,1,193793.78,0
916,15775625,McKenzie,596,France,Male,47,6,0,1,1,0,74835.65,0
917,15792328,James,475,France,Male,39,6,0,1,1,1,56999.9,1
918,15719856,Lamb,646,France,Female,45,3,47134.75,1,1,1,57236.44,0
919,15593773,Olejuru,784,Spain,Male,35,3,0,2,0,0,81483.64,0
920,15733114,Hay,552,Spain,Male,45,9,0,2,1,0,26752.56,0
921,15797748,Lu,729,France,Male,44,5,0,2,0,1,9200.54,0
922,15743411,Chiawuotu,609,Spain,Male,61,1,0,1,1,0,22447.85,1
923,15753337,Yeates,555,France,Male,51,5,0,3,1,0,189122.89,1
924,15601026,Gallagher,572,Germany,Female,19,1,138657.08,1,1,1,16161.82,0
925,15658485,Heath,785,France,Female,34,9,70302.48,1,1,1,68600.36,0
926,15636731,Ts'ai,714,Germany,Female,36,1,101609.01,2,1,1,447.73,0
927,15628303,Thurgood,738,Spain,Male,35,3,0,1,1,1,15650.73,0
928,15633461,Pai,639,Germany,Male,38,5,130170.82,1,1,1,149599.62,0
929,15677135,Lorenzo,520,Germany,Male,61,8,133802.29,2,1,1,90304.01,0
930,15590876,Knupp,764,France,Female,24,7,106234.02,1,0,0,115676.38,0
931,15790782,Baryshnikov,661,Spain,Male,39,6,132628.98,1,0,0,38812.67,0
932,15700476,Azubuike,564,Germany,Male,41,9,103522.75,2,1,1,34338.21,0
933,15634141,Shephard,708,Germany,Female,42,8,192390.52,2,1,0,823.36,0
934,15737795,Scott,512,Spain,Male,36,1,0,1,0,1,135482.26,1
935,15790299,Williamson,592,Spain,Male,37,9,0,3,1,1,10656.89,0
936,15675316,Avdeeva,619,France,Female,38,3,0,2,0,1,116467.35,0
937,15613630,Tang,775,France,Male,52,8,109922.61,1,1,1,96823.32,1
938,15662100,Hsu,850,Germany,Female,44,5,128605.32,1,0,1,171096.2,0
939,15668032,Buchanan,577,France,Female,37,4,0,1,1,1,79881.39,0
940,15599289,Yeh,724,France,Female,37,10,68598.56,1,1,0,157862.82,0
941,15754084,Palazzi,710,Spain,Male,35,1,106518.52,1,1,1,127951.81,0
942,15676521,Y?an,696,France,Female,31,8,0,2,0,0,191074.11,0
943,15804586,Lin,376,France,Female,46,6,0,1,1,0,157333.69,1
944,15781465,Schofield,675,Germany,Female,29,8,121326.42,1,1,0,133457.52,0
945,15729362,Lombardi,745,France,Male,36,8,67226.37,1,1,0,130789.6,0
946,15709295,Wall,697,Spain,Female,25,5,82931.85,2,1,1,128373.88,0
947,15745324,Milani,599,Spain,Female,39,4,0,1,1,0,194273.2,1
948,15741336,Ejimofor,715,France,Female,38,5,118590.41,1,1,1,5684.17,1
949,15783659,Blackburn,659,France,Male,67,4,145981.87,1,1,1,131043.2,0
950,15620981,Wickham,684,France,Female,48,3,73309.38,1,0,0,21228.34,1
951,15630328,Bird,635,France,Female,48,8,130796.33,2,1,1,43250.3,0
952,15785899,Ch'en,789,Germany,Male,33,8,151607.56,1,1,0,4389.4,0
953,15606149,Wood,571,Germany,Female,66,9,111577.01,1,0,1,189271.9,0
954,15671139,Brizendine,694,Spain,Male,39,0,107042.74,1,1,1,102284.2,0
955,15660429,Ch'in,665,Spain,Female,42,2,156371.61,2,0,1,156774.94,1
956,15571002,Yusupov,706,France,Female,44,4,129605.99,1,0,0,69865.49,0
957,15631681,Jibunoh,807,Spain,Female,43,0,0,2,0,1,85523.24,0
958,15731522,Ts'ui,771,Spain,Female,67,8,0,2,1,1,51219.8,0
959,15619529,Ndukaku,531,Spain,Male,27,8,132576.25,1,0,0,7222.92,0
960,15628034,Wilder,629,France,Female,37,6,129101.3,1,1,1,23971.33,0
961,15686164,Maclean,850,Germany,Female,31,1,108822.4,1,1,1,132173.31,0
962,15582797,Ch'iu,685,Spain,Male,35,4,137948.51,1,1,0,113639.64,0
963,15753831,Cox,642,Spain,Male,32,7,100433.8,1,1,1,39768.59,0
964,15731815,Nepean,529,Spain,Male,63,4,96134.11,3,1,0,108732.96,1
965,15580956,McNess,683,Germany,Female,43,4,115888.04,1,1,1,117349.19,1
966,15602084,Coles,663,France,Female,42,5,124626.07,1,1,1,78004.5,0
967,15589805,Benson,563,France,Female,34,6,139810.34,1,1,1,152417.79,0
968,15720893,Gilbert,637,Spain,Female,34,9,0,2,0,0,26057.08,0
969,15641009,Wilhelm,544,France,Male,37,3,84496.71,1,0,0,79972.09,0
970,15605926,Sinclair,649,Germany,Male,70,9,116854.71,2,0,1,107125.79,0
971,15805955,L?,638,France,Female,48,10,138333.03,1,1,1,47679.14,0
972,15801488,Buckner,723,France,Male,25,3,0,2,1,1,134509.47,0
973,15605918,Padovesi,635,Germany,Male,43,5,78992.75,2,0,0,153265.31,0
974,15779711,Gray,750,Spain,Female,38,7,97257.41,2,0,1,179883.04,0
975,15705620,Lu,730,France,Male,34,5,122453.37,2,1,0,138882.98,0
976,15685357,Wright,750,Spain,Female,36,8,112940.07,1,0,1,9855.81,0
977,15570060,Palerma,586,France,Female,43,8,132558.26,1,1,0,67046.83,1
978,15582616,Y?an,520,France,Female,38,4,0,2,1,0,56388.63,0
979,15799515,Wei,652,France,Female,48,8,133297.24,1,1,0,77764.37,0
980,15642937,Padovesi,550,France,Female,46,7,0,2,1,0,130590.35,0
981,15624729,Tsao,594,France,Male,27,0,197041.8,1,0,0,151912.49,0
982,15566156,Franklin,749,Germany,Female,44,0,71497.79,2,0,0,151083.8,0
983,15792360,Clark,668,France,Male,32,7,0,2,1,1,777.37,0
984,15807008,McGregor,614,Germany,Female,35,6,128100.28,1,0,0,69454.24,1
985,15704770,Pan,773,France,Male,25,1,124532.78,2,0,1,11723.57,0
986,15756475,Kenniff,551,Germany,Male,31,9,82293.82,2,1,1,91565.25,0
987,15655339,Spencer,566,France,Male,36,1,142120.91,1,1,0,79616.37,0
988,15613749,Lees,569,Spain,Male,34,0,151839.26,1,1,0,102299.81,1
989,15664521,David,659,Spain,Male,31,7,149620.88,2,1,1,104533.51,0
990,15681206,Hsing,722,France,Female,49,3,168197.66,1,1,0,140765.57,1
991,15745527,Burke,655,France,Male,37,5,93147,2,1,0,66214.13,0
992,15806926,Watson,615,France,Female,35,2,97440.02,2,1,1,139816.1,0
993,15724563,Hawkins,752,Germany,Female,42,3,65046.08,2,0,1,140139.28,0
994,15782899,Ginn,661,Spain,Female,28,7,95357.49,1,0,0,102297.15,0
995,15623521,Sozonov,838,Spain,Male,43,9,123105.88,2,1,0,145765.83,0
996,15810218,Sun,610,Spain,Male,29,9,0,3,0,1,83912.24,0
997,15645621,Hunter,811,Spain,Male,44,3,0,2,0,1,78439.73,0
998,15608114,Manfrin,587,Spain,Male,62,7,121286.27,1,0,1,6776.92,0
999,15659557,Artamonova,811,Germany,Female,28,4,167738.82,2,1,1,9903.42,0
1000,15787772,Hansen,759,France,Female,38,1,104091.29,1,0,0,91561.91,0
1001,15691111,Pai,648,Germany,Female,42,8,121980.56,2,1,0,4027.02,0
1002,15592089,Larsen,788,France,Female,43,10,0,2,1,1,116111.51,0
1003,15633897,Owen,725,Germany,Male,39,1,50880.98,2,1,1,184023.54,0
1004,15701301,Murphy,646,France,Female,42,3,175159.9,2,0,0,67124.48,1
1005,15723685,Ekechukwu,601,Germany,Female,26,7,105514.69,2,1,0,50070.59,0
1006,15701602,Ayers,521,Germany,Male,52,5,116497.31,3,0,0,53793.1,1
1007,15739189,Johnson,561,Spain,Female,33,6,0,2,1,0,45261.47,0
1008,15573086,Millar,564,France,Male,42,7,99824.45,1,1,1,36721.4,0
1009,15569050,Farrell,444,France,Male,45,6,0,1,1,0,130009.85,1
1010,15750765,Sanders,650,Spain,Male,71,0,0,1,1,1,175380.77,0
1011,15799811,Herrera,724,France,Male,40,10,0,1,1,0,127847.25,1
1012,15698442,Eberechukwu,719,Spain,Male,35,3,122964.88,1,1,1,138231.7,0
1013,15655274,Bardin,548,France,Female,29,4,0,2,0,1,48673.18,0
1014,15603594,Nwankwo,635,Spain,Male,24,4,0,2,1,1,70668.77,0
1015,15585961,Talbot,496,Spain,Female,43,3,0,2,0,1,199505.53,0
1016,15686936,McGregor,676,France,Female,37,5,89634.69,1,1,1,169583.18,1
1017,15770424,Onyeorulu,541,Germany,Male,40,7,95710.11,2,1,0,49063.42,0
1018,15587451,Goold,778,Germany,Male,41,7,139706.31,1,1,0,63337.19,0
1019,15602010,Zikoranaudodimma,850,Germany,Female,45,5,103909.86,1,1,0,60083.11,1
1020,15600583,Garner,633,France,Male,31,1,0,1,1,0,48606.71,0
1021,15654673,Onyinyechukwuka,625,France,Male,49,6,173434.9,1,1,0,165580.93,1
1022,15717164,Genovese,485,Spain,Male,32,6,102238.01,2,1,1,194010.12,0
1023,15765014,Mai,547,France,Female,48,1,179380.74,2,0,1,69263.1,0
1024,15682639,Marshall,642,France,Male,32,3,0,2,1,1,88698.83,0
1025,15729279,Naylor,718,France,Female,25,4,108691.95,1,1,0,63030.97,0
1026,15759805,Pinto,582,France,Female,32,4,0,2,1,0,59668.81,0
1027,15767864,Fulton,628,France,Male,33,6,0,2,0,0,184230.23,0
1028,15769948,Palerma,737,Germany,Male,35,0,133377.8,1,0,1,64050.19,0
1029,15686345,McCaffrey,828,Spain,Male,34,9,0,2,1,1,81853.98,0
1030,15688071,Collins,609,Spain,Male,53,10,0,1,1,1,154642.91,0
1031,15681174,Zuev,730,France,Male,39,1,116537.6,1,0,0,145679.6,0
1032,15667521,Crawford,631,France,Female,22,3,0,2,0,0,30781.77,0
1033,15750243,Genovese,830,Spain,Male,40,4,0,2,0,1,81622.52,0
1034,15695475,Maclean,645,France,Male,29,1,130131.08,2,0,1,196474.35,0
1035,15689176,Fabro,663,France,Male,46,3,0,2,0,1,176276.1,0
1036,15652955,Price,678,Spain,Male,30,0,0,1,1,0,35113.08,0
1037,15668958,Chatfield,521,France,Male,30,2,107316.09,1,1,0,64299.82,0
1038,15631054,Volkova,625,France,Female,24,1,0,2,1,1,180969.55,0
1039,15581479,Archer,523,France,Male,30,1,83181.29,1,1,1,138176.78,0
1040,15577478,Ch'iu,714,France,Female,72,3,0,1,1,1,86733.61,0
1041,15780870,McKay,580,Spain,Male,67,3,153946.14,1,1,1,7418.92,0
1042,15692317,Craig,722,France,Male,30,5,0,2,1,0,166376.54,0
1043,15593969,Abramovich,630,Spain,Female,39,7,135483.17,1,1,0,140881.2,1
1044,15570417,Chien,579,France,Male,35,1,0,2,1,0,4460.2,0
1045,15779059,Timms,670,France,Female,38,4,119624.54,2,1,1,110472.12,0
1046,15785980,Williford,588,Spain,Male,34,6,121132.26,2,1,0,86460.28,0
1047,15644200,Hamilton,807,Spain,Female,42,1,0,1,1,0,16500.66,1
1048,15793949,Cheng,726,France,Female,48,4,0,1,1,0,114020.06,1
1049,15645103,Su,812,Germany,Male,25,5,54817.55,1,1,0,131660.31,0
1050,15705860,McKenzie,631,Germany,Male,40,3,107949.45,1,1,0,52449.62,1
1051,15623828,Akobundu,682,France,Male,30,4,0,1,0,1,161465.31,0
1052,15715003,Ko,625,Spain,Female,49,2,80816.45,1,1,1,20018.79,0
1053,15623471,Marcelo,607,Germany,Male,38,3,98205.77,1,1,0,176318.27,0
1054,15798348,Chukwuebuka,600,Spain,Female,50,6,94684.27,1,1,1,50488.91,0
1055,15743016,MacDonald,602,Spain,Female,22,7,141604.76,1,1,0,30379.6,0
1056,15769499,Lampungmeiua,545,Spain,Female,74,3,0,2,1,1,161326.73,0
1057,15798521,Tai,675,Spain,Male,33,3,0,2,1,0,45348.08,0
1058,15706534,Enyinnaya,581,France,Female,47,1,122949.14,1,0,0,180251.68,1
1059,15706186,McKenzie,640,Germany,Male,33,8,81677.22,2,0,0,34925.56,0
1060,15812197,Kline,850,France,Male,38,7,80293.98,1,0,0,126555.74,0
1061,15650933,Ma,490,Spain,Female,48,8,155413.06,1,1,0,187921.3,0
1062,15692991,Wood,710,Spain,Female,38,4,0,2,1,1,136390.88,0
1063,15631189,Riggs,613,Germany,Male,38,9,67111.65,1,1,0,78566.64,1
1064,15762198,Capon,812,France,Male,34,5,103818.43,1,1,1,166038.27,0
1065,15699598,Smith,723,France,Female,20,4,0,2,1,1,140385.33,0
1066,15692744,Davison,512,France,Male,36,4,152169.12,2,0,0,38629.3,1
1067,15688963,Ingram,731,France,Female,52,10,0,1,1,1,24998.75,1
1068,15599131,Dilke,650,Germany,Male,26,4,214346.96,2,1,0,128815.33,0
1069,15680303,Gibson,594,France,Male,57,6,0,1,1,0,19376.56,1
1070,15628674,Iadanza,844,France,Male,40,7,113348.14,1,1,0,31904.31,1
1071,15648075,Hebert,686,Germany,Female,47,5,170935.94,1,1,0,173179.79,1
1072,15586970,Pinto,695,Germany,Male,52,8,103023.26,1,1,1,22485.64,0
1073,15625698,Dumetochukwu,624,Spain,Female,23,6,0,2,0,1,196668.51,0
1074,15790497,Ross,503,Spain,Male,37,6,0,2,0,0,136506.86,0
1075,15682618,Jamieson,535,France,Female,31,7,111855.04,2,1,1,36278.89,0
1076,15762937,Chiganu,743,Germany,Female,32,6,140348.56,2,1,1,163254.39,0
1077,15750929,Burgess,702,Spain,Male,39,8,0,2,1,0,99654.13,0
1078,15729832,Cheng,658,France,Male,29,3,145512.84,1,1,0,20207.02,0
1079,15633650,Woods,677,Germany,Female,41,8,146720.98,2,1,1,4195.84,0
1080,15748856,Liang,664,France,Male,32,10,107209.73,1,1,1,112340.2,0
1081,15589195,Bluett,766,Germany,Female,38,7,130933.74,1,0,1,2035.94,0
1082,15699911,Chapman,461,Spain,Female,35,8,0,1,1,0,132295.95,0
1083,15663438,Andrejew,688,Spain,Male,36,0,89772.3,1,1,0,177383.68,1
1084,15692583,Udobata,678,France,Female,32,5,0,2,1,0,90284.47,0
1085,15591257,Ejimofor,796,France,Male,24,8,0,2,1,0,61349.37,0
1086,15646513,Spyer,803,France,Male,42,5,0,1,1,0,196466.83,1
1087,15708063,Walker,712,France,Male,36,2,100749.5,3,0,0,70758.37,1
1088,15696098,Palermo,498,France,Female,31,10,0,2,1,0,13892.57,0
1089,15645517,Philip,850,Spain,Male,22,2,0,2,1,1,9684.52,0
1090,15649744,Fallaci,628,France,Female,51,3,123981.31,2,1,1,40546.15,0
1091,15604304,Perry,539,Germany,Female,34,4,91622.42,1,1,1,136603.42,0
1092,15784092,Henderson,732,France,Male,36,7,126195.81,1,1,1,133172.48,0
1093,15585198,Bergamaschi,715,France,Male,41,4,94267.9,1,0,1,152821.12,1
1094,15624347,Fokine,651,France,Male,40,4,0,2,1,1,147715.83,0
1095,15621687,Mackay,813,France,Male,34,0,0,2,1,0,43169.15,0
1096,15689081,Wu,692,France,Male,29,4,0,1,1,0,76755.99,1
1097,15813168,Maslova,756,Germany,Female,39,3,100717.85,3,1,1,73406.04,1
1098,15604295,Wei,543,France,Male,36,6,0,2,1,0,176728.28,0
1099,15724127,McLean,790,France,Female,26,4,141581.71,2,0,0,98309.27,0
1100,15673055,Sung,494,Spain,Male,38,7,0,2,1,1,6203.66,0
1101,15768201,Paterson,850,France,Female,39,2,148586.64,1,1,1,176791.27,0
1102,15782219,Fanucci,703,Spain,Male,29,9,0,2,1,0,50679.48,0
1103,15746410,Thompson,432,Spain,Male,38,7,0,2,1,0,150580.88,0
1104,15780144,Tisdall,512,Germany,Female,32,2,123403.85,2,1,0,80120.19,0
1105,15590476,Onochie,589,France,Male,28,7,0,2,1,0,151645.96,0
1106,15624293,Mironova,514,France,Female,46,3,106511.85,1,1,0,55072.32,0
1107,15618182,Ndubueze,678,France,Female,38,2,0,2,0,0,115068.99,0
1108,15660316,Stephenson,420,Germany,Female,34,1,135549.9,1,0,0,149471.13,1
1109,15678886,Golubev,679,Germany,Male,38,7,110555.37,2,1,0,46522.68,0
1110,15616330,Liao,595,France,Male,31,4,0,2,1,0,189995.86,0
1111,15592229,Mullan,713,France,Female,52,0,185891.54,1,1,1,46369.57,1
1112,15798424,Glover,833,Germany,Male,59,1,130854.59,1,1,1,30722.52,1
1113,15714750,Northey,690,France,Female,42,3,92578.14,2,0,0,70810.6,0
1114,15648800,Paterson,731,Germany,Female,21,8,132312.06,1,1,0,106663.46,1
1115,15626147,Maclean,608,France,Female,62,8,144976.5,1,0,0,175836.03,1
1116,15626608,Howarde,479,Spain,Male,48,5,87070.23,1,0,1,85646.41,0
1117,15723250,Teng,519,France,Male,42,8,0,2,1,1,101485.72,0
1118,15592583,Colman,731,France,Female,47,1,115414.19,3,0,0,191734.67,1
1119,15759381,Johnson,617,Spain,Male,61,7,91070.43,1,1,1,101839.77,0
1120,15585241,Butcher,756,Spain,Male,29,2,117412.19,2,1,0,4888.91,0
1121,15589358,Stanley,848,Germany,Male,31,4,90018.45,2,1,0,193132.98,0
1122,15672704,Jackson,809,France,Female,24,4,0,2,1,0,193518.76,0
1123,15789955,Hu,698,Germany,Male,56,1,112414.81,2,0,0,93982.02,1
1124,15596800,Hill,779,Germany,Male,33,1,158456.76,1,1,1,197000.92,1
1125,15627305,Pan,606,Spain,Male,35,7,0,1,1,0,106837.06,1
1126,15645316,Han,612,Germany,Female,58,1,149641.53,1,1,1,115161.28,0
1127,15593973,Wilkie,663,Spain,Female,33,8,122528.18,1,1,0,196260.3,0
1128,15647301,Bray,549,Germany,Female,45,3,143734.01,2,1,1,96404.38,0
1129,15750258,Ann,675,France,Female,32,2,155663.31,1,1,0,97658.66,0
1130,15685309,Souter,669,France,Female,35,7,0,1,1,1,49108.23,1
1131,15628205,Greco,571,Germany,Female,34,1,101736.66,1,0,1,195651.66,0
1132,15733974,Mao,500,Spain,Male,37,9,125822.21,1,1,0,111698,0
1133,15762110,Anderson,628,France,Male,37,0,0,2,1,1,171707.93,0
1134,15706899,Ma,559,France,Male,34,4,0,2,1,1,66721.98,0
1135,15732660,Black,769,France,Female,27,2,0,1,1,1,57876.05,0
1136,15656121,Medvedeva,733,Germany,Male,31,6,157791.07,2,0,0,177994.81,0
1137,15614220,Benson,750,France,Male,22,5,0,2,0,1,105125.65,0
1138,15645269,Duncan,583,France,Female,42,4,0,2,1,0,17439.66,0
1139,15698510,Onwudiwe,468,Germany,Male,42,9,181627.14,2,1,0,172668.39,0
1140,15569247,Mitchell,727,Spain,Female,57,1,109679.72,1,0,1,753.37,0
1141,15566251,Ferrari,618,France,Female,37,5,96652.86,1,1,0,98686.4,1
1142,15716134,Russo,617,France,Male,40,5,190008.32,2,1,1,107047.92,0
1143,15763625,Hazon,793,Spain,Male,41,9,0,2,1,0,152153.74,0
1144,15605965,Henderson,630,France,Male,43,9,0,2,1,1,34338.04,0
1145,15694821,Hardy,765,Germany,Male,43,4,148962.76,1,0,1,173878.87,1
1146,15601688,Piccio,546,France,Male,28,8,0,1,1,0,159254.29,0
1147,15575581,Dickson,614,Germany,Female,30,3,131344.52,2,1,0,54776.64,0
1148,15671209,Holden,593,Germany,Female,29,5,101713.84,3,1,0,134594.99,0
1149,15616529,Hsieh,613,Spain,Male,34,3,0,1,1,1,41724.72,0
1150,15773906,Doherty,655,France,Male,38,4,0,2,0,0,110527.71,0
1151,15722993,Page,700,France,Female,27,6,137963.07,1,0,0,8996.79,0
1152,15752463,Samuel,826,Spain,Female,29,4,129938.07,1,0,1,190200.53,0
1153,15589754,Malloy,652,Germany,Male,45,2,151421.44,1,0,1,115333.43,0
1154,15669899,Fitts,755,Germany,Female,45,7,135643,1,0,0,143619.52,1
1155,15766887,Iadanza,538,Spain,Male,39,2,122773.5,2,1,1,58467.08,0
1156,15768006,Wu,729,France,Male,34,3,152303.8,1,1,0,12128.69,0
1157,15741295,Yefimova,615,France,Male,49,3,0,2,1,1,49872.33,0
1158,15811327,Pan,700,Spain,Male,54,1,79415.67,1,0,1,139735.54,0
1159,15690007,Ts'ui,434,Germany,Female,58,9,125801.03,2,1,0,60891.8,1
1160,15690664,Liang,729,Spain,Male,37,10,0,2,1,0,100862.54,0
1161,15719348,Tsao,513,France,Male,35,8,0,1,1,0,76640.29,1
1162,15781802,Abramov,755,France,Male,41,6,104817.41,1,1,0,126013.58,1
1163,15752731,Millar,615,France,Female,30,9,0,1,1,0,87347.82,0
1164,15600997,Demuth,747,Germany,Female,32,5,67495.04,2,0,1,77370.37,0
1165,15750776,Genovese,850,France,Female,36,0,164850.54,1,1,1,62722.44,0
1166,15723907,Lawless,712,Germany,Female,49,5,154776.42,2,0,0,196257.68,0
1167,15633419,Brooks,622,Germany,Female,28,1,143124.63,2,1,0,81723.8,0
1168,15702430,Ignatyeva,548,France,Female,35,10,0,1,1,1,31299.71,0
1169,15710456,Balmain,607,France,Female,27,2,0,2,1,0,63495.86,0
1170,15650351,Millar,653,France,Female,38,8,102133.38,1,1,1,166520.96,0
1171,15590820,Ecuyer,699,Spain,Male,26,6,79932.41,1,0,0,150242.44,0
1172,15640454,Parkhill,693,Germany,Male,40,0,120711.73,1,0,0,27345.18,1
1173,15697789,Li Fonti,647,Germany,Female,43,3,122717.53,2,1,1,87000.39,0
1174,15808182,Beneventi,478,Spain,Female,36,3,92363.3,2,1,0,44912.7,0
1175,15588670,Despeissis,705,Spain,Female,40,5,203715.15,1,1,0,179978.68,1
1176,15721292,Atkins,719,Spain,Male,39,5,0,2,1,0,145759.7,0
1177,15604217,Williams,726,France,Male,34,9,0,2,0,0,14121.61,0
1178,15651369,Wright,626,France,Male,21,1,0,2,1,0,66232.23,0
1179,15782454,Hancock,552,France,Male,49,4,0,1,1,1,190296.76,1
1180,15814032,Hsieh,807,Germany,Female,31,1,93460.47,2,0,0,172782.69,0
1181,15570326,Wilkins,621,France,Male,34,6,0,2,1,1,99128.13,0
1182,15624428,Longo,651,Germany,Female,24,7,40224.7,1,1,1,178341.33,0
1183,15755638,Mancini,673,France,Female,43,5,168069.73,1,1,1,146992.24,1
1184,15600992,Madukaego,652,France,Male,36,1,0,2,1,1,151314.98,0
1185,15755649,Winter-Irving,584,Germany,Male,47,7,130538.77,1,1,0,92915.84,0
1186,15795228,Stewart,756,France,Male,37,3,132623.6,1,1,1,58974,0
1187,15589257,Grant,670,France,Female,35,3,103465.02,2,1,1,174627.06,0
1188,15719302,Brennan,765,France,Female,50,9,126547.8,1,1,1,79579.94,1
1189,15639882,She,528,France,Male,30,2,128262.72,2,1,0,50771.16,0
1190,15791279,Murray,701,France,Male,40,5,169742.64,1,1,1,153537.55,1
1191,15636935,Rischbieth,797,France,Female,29,1,0,2,1,1,132975.39,0
1192,15686909,Lung,639,Germany,Male,27,3,150795.81,1,0,1,85208.93,0
1193,15589572,Otutodilichukwu,785,Spain,Female,61,4,129855.72,2,1,0,170214.82,1
1194,15779947,Thomas,363,Spain,Female,28,6,146098.43,3,1,0,100615.14,1
1195,15573769,Fiorentini,764,France,Female,24,7,0,2,1,0,186105.99,0
1196,15578866,Hughes,676,France,Female,43,2,0,1,1,1,55119.53,0
1197,15739131,Whitworth,718,Germany,Male,28,4,65643.3,1,1,0,28760.99,0
1198,15813444,McIntosh,590,Spain,Female,34,6,0,2,1,0,171021.44,0
1199,15678058,Ayers,584,France,Male,38,9,104584.16,1,1,0,176678.72,0
1200,15769169,Trentino,645,France,Male,41,7,0,1,0,1,28667.56,0
1201,15804602,Boyd,772,Germany,Male,30,6,99785.28,2,0,0,197238.03,0
1202,15651052,McMasters,399,Germany,Male,46,2,127655.22,1,1,0,139994.68,1
1203,15724334,Alekseyeva,529,France,Male,22,5,0,1,1,0,151169.83,0
1204,15569451,Miller,463,France,Male,35,2,101257.16,1,1,1,118113.64,0
1205,15650098,Baranova,630,France,Female,40,7,0,2,1,1,34453.17,0
1206,15724307,Mitchell,780,France,Male,76,10,121313.88,1,0,1,64872.33,0
1207,15599268,Yobachi,584,Spain,Male,32,5,0,2,1,0,10956.82,0
1208,15594864,Huang,752,Germany,Male,30,4,81523.38,1,1,1,36885.85,0
1209,15616451,Genovese,697,France,Female,47,6,128252.66,1,1,1,168053.4,0
1210,15715667,Sorokina,850,France,Female,32,7,0,2,0,0,155227,0
1211,15658969,Gray,711,France,Male,51,7,0,3,1,0,38409.79,1
1212,15738174,Ervin,452,France,Female,32,5,0,2,0,1,75279.39,0
1213,15813590,Vance,610,Spain,Male,42,6,0,2,1,0,158302.59,1
1214,15624229,Noble,694,France,Female,22,4,0,2,1,1,11525.72,0
1215,15674148,Milanesi,579,Spain,Male,33,6,0,1,1,0,94993.04,1
1216,15625080,Parkin,745,Spain,Female,54,8,0,1,1,0,173912.29,1
1217,15682528,Cremonesi,572,France,Male,33,5,0,1,0,1,41139.05,0
1218,15696900,Burns,505,Germany,Male,29,3,145541.56,2,1,1,58019.95,0
1219,15730038,Docherty,706,France,Female,23,5,0,1,0,0,164128.41,1
1220,15812272,Ugonna,693,Germany,Male,44,5,124601.58,2,1,1,46998.13,1
1221,15654654,L?,725,Germany,Female,33,7,115182.84,2,1,1,177279.41,0
1222,15697625,Bevan,791,France,Male,37,2,163789.49,2,1,0,75832.53,0
1223,15616280,Hsia,536,France,Male,46,1,65733.41,1,1,0,61094.53,0
1224,15654229,O'Neill,699,Spain,Male,47,1,0,2,0,1,30117.44,0
1225,15628298,Johnstone,500,Spain,Female,47,8,128486.11,1,1,0,179227.12,0
1226,15733387,Pham,707,Spain,Female,53,6,109663.47,1,1,1,52110.45,0
1227,15775572,Bergamaschi,531,Germany,Female,42,6,88324.31,2,1,0,75248.75,0
1228,15613844,Murphy,557,France,Female,28,7,146445.24,2,1,0,184317.74,0
1229,15578515,Osinachi,659,France,Female,38,3,0,2,1,0,158553.1,0
1230,15607598,Muravyov,575,Spain,Female,31,6,0,2,1,1,95686.42,0
1231,15742480,Igwebuike,775,Germany,Male,36,2,109949.05,2,0,1,71682.54,0
1232,15749482,Zack,772,Spain,Male,30,4,78653.05,1,1,0,1790.48,0
1233,15607537,Crawford,587,Germany,Male,46,9,107850.82,1,1,0,139431,1
1234,15575410,Chidiegwu,667,Germany,Female,39,4,83765.35,2,1,0,118358.54,0
1235,15684865,Lucchesi,771,France,Female,66,7,143773.07,1,1,1,130827.88,0
1236,15600700,Pan,523,Germany,Male,63,6,116227.27,1,1,1,119404.63,0
1237,15774155,Trevisani,662,Germany,Male,33,0,103471.52,1,1,1,162703,0
1238,15634267,Yudin,717,France,Male,42,5,0,2,1,0,172665.21,0
1239,15619626,Wade,746,France,Male,24,3,137492.35,2,0,1,170142.09,0
1240,15660422,Chung,569,France,Male,28,7,0,2,1,0,73977.23,0
1241,15617934,Septimus,579,France,Male,36,9,129829.59,1,1,1,60906.12,0
1242,15760774,Hargraves,519,France,Female,21,1,146329.57,2,1,1,194867.27,0
1243,15813132,Chukwukadibia,696,Germany,Male,30,4,114027.7,1,1,1,193716.56,0
1244,15593331,Sidorov,693,Germany,Male,25,6,146580.69,1,0,1,14633.35,0
1245,15616709,Bunton,587,Germany,Female,38,0,132122.42,2,0,0,31730.32,0
1246,15658052,Cameron,626,France,Female,44,10,81553.93,1,1,0,20063.63,1
1247,15721189,Kung,666,France,Female,66,7,0,2,1,1,99792.82,0
1248,15711288,Hay,512,France,Male,24,6,0,2,1,0,37654.31,0
1249,15770030,Conti,689,Spain,Female,28,3,0,2,1,1,192449.02,0
1250,15803681,Sims,803,France,Female,26,4,0,2,1,1,181208.47,0
1251,15702789,Carter,548,Germany,Male,32,5,175214.71,1,1,1,155165.61,0
1252,15814930,McGregor,588,Germany,Female,40,10,125534.51,1,1,0,121504.18,1
1253,15658306,Lo,693,France,Male,68,4,97705.99,1,1,1,61569.07,0
1254,15699523,Chu,499,Germany,Female,55,4,126817.65,2,1,0,123269.71,0
1255,15610383,Dumetolisa,628,France,Female,46,1,46870.43,4,1,0,31272.14,1
1256,15615032,Peng,624,Spain,Male,46,3,0,2,1,1,62825.03,0
1257,15781989,Drake-Brockman,733,France,Male,42,9,120094.93,1,1,0,184056.45,0
1258,15647402,Wan,628,France,Female,38,3,0,2,1,1,48924.73,0
1259,15740494,Cameron,633,France,Female,33,3,0,2,1,0,191111.02,0
1260,15701265,Tretiakov,559,Germany,Female,36,1,104356.94,2,0,1,54184.06,0
1261,15743532,Ball,704,Germany,Male,27,5,147004.34,1,1,0,64381.33,1
1262,15794870,Sal,744,Germany,Male,38,6,73023.17,2,1,0,78770.86,0
1263,15747591,Chung,665,Spain,Female,40,1,173432.55,1,0,1,116766.79,0
1264,15726557,Lai,638,France,Female,42,7,165679.92,1,0,0,32916.29,0
1265,15732199,Gether,837,Spain,Male,31,9,104678.62,1,0,1,50972.6,0
1266,15662291,Davidson,534,France,Female,55,8,116973.26,3,1,0,122066.5,1
1267,15749050,Justice,548,France,Female,36,3,0,1,1,0,65996.9,0
1268,15781586,Osonduagwuike,837,Germany,Male,38,2,126732.85,1,1,1,79577.38,0
1269,15617078,Ewing,658,France,Female,44,6,148481.09,1,1,0,130529.13,0
1270,15723339,Chin,554,France,Female,38,4,137654.05,2,1,1,172629.67,0
1271,15671322,Chiang,724,Germany,Male,30,7,115315.04,1,1,0,15216.53,0
1272,15793854,Ahmed,723,France,Male,42,2,99095.73,1,1,1,17512.53,0
1273,15756539,Marshall,585,Germany,Female,39,7,165610.41,2,0,0,131852.01,0
1274,15612064,Tsou,474,France,Male,33,5,0,2,1,0,181945.52,1
1275,15625916,Chien,562,Spain,Male,32,6,161628.66,1,1,0,91482.5,0
1276,15683195,Ubanwa,719,France,Male,32,9,146605.27,1,1,1,77119.45,0
1277,15690182,Kapustin,635,Germany,Male,37,5,113488.68,1,1,0,95611.74,1
1278,15721719,Calabresi,743,France,Male,42,7,77002.2,2,1,1,80428.42,0
1279,15641690,Hsiao,681,Spain,Male,67,7,0,2,0,1,163714.92,0
1280,15634896,Grant,521,France,Female,39,6,0,2,0,1,27375.15,0
1281,15671590,H?,741,Spain,Male,25,4,0,2,1,1,73873.65,0
1282,15779182,Chia,790,Spain,Male,46,8,182364.53,1,0,0,139266.48,1
1283,15778287,Ugoji,622,France,Male,35,8,0,2,1,1,131772.51,0
1284,15609510,Gregory,669,France,Male,45,7,149364.58,1,0,1,173454.07,0
1285,15742229,Mackay,583,France,Male,59,7,127450.14,1,0,1,67552.71,0
1286,15658532,Nnamutaezinwa,520,Spain,Female,63,5,162278.32,1,1,1,34765.33,0
1287,15590993,Findlay,579,Spain,Male,37,5,152212.88,2,0,0,120219.14,0
1288,15565701,Ferri,698,Spain,Female,39,9,161993.89,1,0,0,90212.38,0
1289,15597239,Ku,548,Spain,Male,39,7,131468.44,1,1,0,164975.82,0
1290,15688880,Amechi,672,Germany,Male,40,10,102980.44,1,1,0,1285.81,1
1291,15813917,Kirk,653,Germany,Male,31,9,143321.97,1,1,0,83679.46,0
1292,15679611,Andrews,734,Spain,Female,37,2,130404.92,1,0,0,34548.74,0
1293,15636589,Murray,794,France,Female,41,7,0,2,1,1,74275.08,0
1294,15687752,Griffin,641,France,Male,30,2,87505.47,2,0,1,7278.57,0
1295,15584363,Longstaff,824,France,Male,30,0,133634.02,1,1,1,162053.92,0
1296,15737748,McWilliam,534,Spain,Female,33,3,151233.62,1,0,0,199336.63,0
1297,15803365,Coffee,653,Spain,Male,55,2,70263.83,1,0,1,62347.71,0
1298,15793247,Hancock,498,France,Male,34,5,0,2,1,1,91711.66,0
1299,15572360,Clark,683,France,Male,30,10,57657.49,1,0,0,79240.9,0
1300,15795166,Creswell,618,Germany,Male,42,8,153572.31,2,1,1,76679.6,0
1301,15724620,Dodds,538,France,Male,37,1,134752.08,1,1,0,162511.55,0
1302,15800856,Ewen,643,Spain,Male,34,3,83132.09,1,1,1,21360.88,0
1303,15671097,Carter,428,France,Female,31,2,0,2,1,0,54487.43,0
1304,15683930,Ch'iu,593,Germany,Female,32,9,134096.53,2,1,0,53931.05,1
1305,15749004,Tsao,718,France,Female,31,0,118100.59,2,1,0,103165.15,0
1306,15800434,Burgess,811,Germany,Male,52,10,76915.4,1,0,0,146359.81,1
1307,15709117,Fanucci,823,Spain,Female,46,3,81576.75,1,1,1,28370.95,1
1308,15638806,Blackburn,645,Spain,Male,49,2,0,2,0,0,10023.15,0
1309,15662294,Bennett,710,France,Male,33,10,118327.17,2,1,1,192928.82,0
1310,15690079,Boniwell,591,Spain,Male,30,8,124857.69,2,0,0,50485.7,0
1311,15759317,Vasilieva,748,Germany,Female,27,2,90971.85,1,1,1,131662.47,0
1312,15750497,Longo,850,France,Female,37,7,153147.75,1,1,1,152235.3,0
1313,15596181,Kwemto,542,France,Male,38,8,65942.26,1,1,1,68093.23,1
1314,15576602,Lawrence,809,France,Male,38,3,0,2,1,1,80061.31,0
1315,15644833,Duncan,675,France,Male,54,2,0,1,1,0,149583.67,1
1316,15734634,Bocharova,607,Spain,Female,27,5,100912.19,1,0,0,7631.27,0
1317,15808689,Morres,850,France,Female,31,4,0,2,1,1,33082.81,0
1318,15720702,Shih,789,France,Male,37,3,0,1,1,0,121883.87,1
1319,15665077,Vogel,598,France,Female,43,5,0,3,1,1,100722.72,1
1320,15763612,T'an,756,Germany,Male,41,2,124439.49,2,0,1,47093.11,0
1321,15596493,Wisdom,687,France,Female,47,7,0,2,1,1,177624.01,0
1322,15704483,Lorenzo,724,France,Male,40,6,0,2,0,0,106149.48,0
1323,15598846,Shahan,700,France,Female,44,2,58781.76,1,1,0,16874.92,0
1324,15629244,Bryant,635,Spain,Male,50,7,159453.64,2,0,0,54560.79,1
1325,15765537,Liang,687,Germany,Male,26,2,142721.52,1,1,1,153605.75,0
1326,15729975,Chidozie,613,France,Female,46,8,167795.6,1,0,1,44390.38,0
1327,15682773,Hayward,781,France,Female,38,3,128345.69,2,1,0,63218.85,0
1328,15688007,Liu,703,Spain,Male,20,3,165260.98,1,1,1,41626.78,0
1329,15574331,Alexeeva,593,Germany,Female,62,3,118233.81,1,0,1,24765.53,1
1330,15645572,Calabresi,743,France,Female,40,6,0,1,1,0,28280.8,1
1331,15742854,Lettiere,640,Spain,Female,46,8,0,2,1,0,89043.19,0
1332,15575417,Chou,849,Germany,Male,37,7,143452.74,2,1,1,17294.12,0
1333,15796721,Nnamutaezinwa,778,France,Male,38,3,145018.49,2,1,1,126702.41,0
1334,15734942,Nnamutaezinwa,539,Germany,Female,38,8,82407.51,1,1,0,13123.41,0
1335,15664772,Greece,489,Germany,Male,28,1,79460.98,2,1,1,167973.63,0
1336,15576683,Yin,568,Spain,Female,43,9,0,1,1,0,125870.79,1
1337,15682563,Larionova,618,Spain,Male,38,5,126473.99,1,1,0,91972.49,0
1338,15650889,Golubev,710,Germany,Female,30,10,133537.1,2,1,0,155593.74,0
1339,15612108,Norman,625,France,Male,52,5,164978.01,1,1,1,67788.49,0
1340,15761132,Capon,682,Spain,Male,46,7,128029.72,1,1,1,62615.35,0
1341,15645511,Chukwudi,727,Spain,Male,43,2,97403.18,1,1,1,107415.02,1
1342,15609824,Fedorov,794,France,Female,41,7,176845.41,3,1,0,166526.26,1
1343,15640268,Avdeeva,652,Spain,Male,71,4,0,1,1,1,120107.1,0
1344,15645778,Reid,670,Spain,Male,42,3,81589.04,1,1,0,188227.8,0
1345,15691104,Kennedy,460,Germany,Female,40,6,119507.58,2,1,0,91560.63,1
1346,15714567,Chan,568,Spain,Female,26,6,0,2,0,0,166495.2,0
1347,15777826,Wofford,643,France,Male,30,5,94443.77,1,1,1,165614.4,0
1348,15668445,Mai,521,France,Male,37,2,0,2,1,1,86372.24,0
1349,15576162,King,615,France,Male,32,7,92199.84,1,1,1,2755.53,0
1350,15778135,T'ao,575,Spain,Male,43,3,0,1,1,0,83594.51,0
1351,15613141,Hsu,717,France,Female,41,3,135756.96,1,1,1,103706.41,0
1352,15635435,White,648,France,Female,54,9,120633.42,1,0,0,5924.38,1
1353,15596552,Stephens,535,Germany,Male,48,5,134542.73,1,1,1,58203.67,1
1354,15623644,Frolov,626,Spain,Male,29,7,0,2,1,0,49361.84,0
1355,15683403,Lombardi,611,Spain,Male,52,7,0,1,0,1,73585.18,1
1356,15615029,Munro,734,Spain,Male,39,6,0,1,1,1,95135.27,0
1357,15769005,Hayward,709,France,Male,49,4,154344.49,2,1,1,38794.57,0
1358,15746326,Fields,591,France,Male,43,3,0,2,0,1,198926.36,0
1359,15722364,Onwumelu,664,France,Male,43,9,189026.53,2,1,1,56099.86,0
1360,15704954,Suffolk,431,France,Male,37,0,120764.08,1,1,1,117023.08,0
1361,15694409,Tsao,647,Germany,Female,22,3,97975.82,2,0,1,62083,0
1362,15754068,Judd,578,France,Male,32,4,0,2,1,1,141822.8,0
1363,15683841,Hamilton,555,Germany,Male,41,10,113270.2,2,1,1,185387.14,0
1364,15789095,T'ang,775,Spain,Male,30,4,0,2,0,1,57461.13,0
1365,15719958,Degtyarev,850,Germany,Male,39,3,124548.99,2,1,1,120380.12,0
1366,15689514,Kang,625,France,Male,43,8,201696.07,1,1,0,133020.9,1
1367,15621353,Hudson,645,Spain,Female,37,7,0,2,1,0,13589.93,0
1368,15627232,Jibunoh,608,Germany,Male,44,7,114203.47,1,1,1,77830.36,1
1369,15745843,Kinlaw,689,Spain,Female,31,4,0,2,1,1,136610.02,0
1370,15722902,Chizuoke,652,Germany,Male,50,8,125437.64,1,1,1,17160.94,1
1371,15791767,Lucciano,769,France,Female,26,7,0,2,1,0,176843.53,0
1372,15792722,Omeokachie,611,France,Female,43,8,64897.75,1,1,0,114996.33,0
1373,15723006,Gorbunova,489,France,Male,38,8,0,2,0,1,196990.79,0
1374,15771942,Tikhonov,528,Germany,Female,46,9,135555.66,1,1,0,133146.03,1
1375,15774738,Campa,632,France,Male,44,3,107764.75,1,1,0,185667.72,0
1376,15574004,Mancini,429,France,Female,27,6,117307.44,2,1,1,24020.49,0
1377,15587233,Donoghue,457,France,Male,41,8,73700.12,3,1,1,185750.02,1
1378,15808228,Tuan,768,Spain,Female,44,6,60603.4,1,1,1,178045.97,0
1379,15682834,Johnstone,715,Spain,Female,35,4,40169.88,2,1,1,199857.47,0
1380,15571752,Romani,668,Germany,Female,32,10,92041.87,1,1,1,43595.9,0
1381,15743067,Fuller,625,Germany,Male,26,3,130483.95,1,1,0,122810.53,0
1382,15714466,Baxter,846,France,Female,41,5,0,3,1,0,3440.47,1
1383,15617982,Pirozzi,661,Spain,Female,42,3,0,2,1,0,35989.41,0
1384,15696637,Sung,571,France,Female,23,10,151097.28,1,0,1,17163.75,0
1385,15690647,Rogers,582,Spain,Female,46,8,67563.31,1,1,0,44506.09,1
1386,15672756,Mills,716,France,Female,35,8,112808.18,1,0,1,17848.3,0
1387,15704586,Osonduagwuike,758,France,Female,42,7,0,2,0,1,76209.56,0
1388,15674526,Byrne,725,France,Male,66,4,86459.8,1,1,1,141476.56,0
1389,15775295,McIntyre,630,France,Female,40,0,118633.08,1,0,1,60032.46,1
1390,15684196,Aitken,627,France,Female,55,2,159441.27,1,1,0,100686.11,1
1391,15727281,Macintyre,653,France,Female,27,9,0,2,1,0,96429.29,0
1392,15787835,Simpson,775,Germany,Female,38,4,125212.65,2,1,1,15795.88,1
1393,15730540,Simpson,794,Spain,Male,45,8,88656.37,2,1,0,116547.31,0
1394,15646276,Metcalfe,831,France,Female,32,2,146033.62,1,1,0,191260.74,0
1395,15582180,Lees,561,France,Male,29,9,120268.13,1,1,1,173870.39,0
1396,15697095,Zetticci,705,Spain,Male,46,7,0,2,1,0,117273.35,0
1397,15748797,Dale,636,Spain,Female,33,0,0,1,1,0,92277.47,1
1398,15754796,Byrne,487,Germany,Female,46,4,135070.58,2,1,1,44244.49,1
1399,15628947,Praed,693,France,Female,38,3,0,2,0,0,78133.48,1
1400,15775546,Laurens,517,Spain,Female,29,5,0,2,1,0,103402.88,0
1401,15670481,Woods,684,France,Female,27,9,122550.05,2,0,1,137835.82,0
1402,15619029,Bykov,620,Spain,Female,43,2,0,2,1,0,20670.1,0
1403,15613282,Vorobyova,757,France,Male,29,8,130306.49,1,1,0,77469.38,0
1404,15721487,Pirogova,739,France,Female,27,6,0,1,1,1,57572.38,0
1405,15797276,Sturt,662,Spain,Female,41,4,90350.77,1,1,0,75884.65,1
1406,15612494,Panicucci,359,France,Female,44,6,128747.69,1,1,0,146955.71,1
1407,15629617,Cook,572,Spain,Male,23,2,126873.52,1,0,1,67040.12,0
1408,15600821,Hardy,721,France,Male,69,2,108424.19,1,1,1,178418.35,0
1409,15579062,Chu,707,France,Male,32,9,0,2,0,0,30807.02,0
1410,15814268,Franklin,444,France,Female,40,5,84350.07,1,1,0,143835.76,0
1411,15710164,P'eng,523,France,Female,73,7,0,2,0,0,130883.9,1
1412,15693904,Chiang,685,Germany,Female,30,4,84958.6,2,0,1,194343.72,0
1413,15588986,Grant,673,Germany,Female,29,4,99097.36,1,1,1,9796.69,0
1414,15797733,Udobata,503,Germany,Male,30,10,136622.55,2,0,0,47310.24,0
1415,15620507,Siciliani,485,Germany,Female,30,5,156771.68,1,1,1,141148.21,0
1416,15685150,Evans,799,Germany,Male,28,7,167658.33,2,1,1,111138.25,0
1417,15667651,Young,585,Spain,Female,33,8,0,2,1,0,114182.07,0
1418,15774166,Mitchell,607,Germany,Female,24,2,109483.54,2,0,1,127560.77,0
1419,15649280,Lucchese,521,Germany,Female,40,9,134504.78,1,1,0,18082.06,0
1420,15705657,Hewitt,535,France,Female,44,2,114427.86,1,1,1,136330.26,0
1421,15753969,K'ung,724,Spain,Male,45,5,83888.54,1,0,1,34121.81,0
1422,15742378,Swaim,520,Germany,Male,32,5,110029.77,1,1,0,56246.69,0
1423,15794874,Quinones,696,Spain,Male,41,9,127523.75,1,0,1,191417.42,0
1424,15589221,Kennedy,657,Germany,Male,30,1,139762.13,2,1,1,23317.88,0
1425,15596671,Endrizzi,603,Spain,Female,42,8,91611.12,1,0,0,144675.3,1
1426,15583668,Ludowici,726,France,Female,42,2,109471.79,1,0,1,175161.05,0
1427,15710206,Larson,591,France,Female,39,4,150500.64,1,1,0,14928.8,0
1428,15799966,Chigolum,792,Germany,Female,59,9,101609.77,1,0,0,161479.19,1
1429,15794560,Maclean,550,France,Male,57,5,0,1,1,1,133501.94,0
1430,15626485,Lu,601,France,Female,26,8,78892.23,1,1,1,23703.52,0
1431,15703143,Tuan,820,France,Female,29,3,82344.84,1,0,1,115985.38,0
1432,15809772,Glover,667,France,Male,48,2,0,1,1,0,43229.2,0
1433,15687959,Landman,573,Spain,Female,44,4,0,1,1,1,94862.93,0
1434,15585282,Trevisano,755,France,Male,62,1,127706.33,2,0,1,142377.69,0
1435,15714993,Longo,552,France,Female,41,9,124349.34,1,1,0,135635.25,0
1436,15596021,K?,598,Spain,Male,44,8,0,2,1,0,148487.9,0
1437,15646615,Muir,576,Germany,Male,28,1,119336.29,2,0,1,58976.85,0
1438,15742632,Alexeyeva,670,France,Female,31,9,0,1,0,1,76254.83,0
1439,15574068,Norman,504,Germany,Male,56,9,104217.3,1,0,0,55857.48,1
1440,15806967,Simmons,778,France,Female,65,7,0,1,1,1,77867.23,0
1441,15796334,Chukwualuka,558,Germany,Male,39,10,144757.02,1,1,0,22878.16,1
1442,15688713,McCall,627,Spain,Male,44,6,0,1,1,1,114469.55,0
1443,15796179,Moore,683,France,Male,43,8,0,1,1,0,96754.8,0
1444,15598751,Ingram,556,France,Female,43,6,0,3,0,0,125154.57,1
1445,15703019,Okeke,583,France,Female,38,10,0,2,0,1,113597.64,0
1446,15646302,Shao,705,France,Female,24,7,100169.51,1,1,0,121408.55,0
1447,15680855,Iloabuchi,637,France,Male,33,2,145731.83,1,0,1,109219.43,0
1448,15697311,Nebechukwu,697,Spain,Male,56,5,110802.03,1,1,1,50230.31,1
1449,15585367,Diribe,555,Germany,Female,46,4,120392.99,1,1,0,177719.88,1
1450,15726556,Macgroarty,594,Germany,Female,26,6,135067.52,2,0,0,131211.86,0
1451,15676242,Artemova,632,Spain,Male,31,3,136556.44,1,1,0,82152.83,1
1452,15684198,McDonald,551,France,Female,38,10,0,2,1,1,216.27,0
1453,15774882,Mazzanti,687,France,Female,35,3,99587.43,1,1,1,1713.1,1
1454,15714227,Kelly,672,France,Female,53,7,0,1,1,1,136910.18,0
1455,15608653,Davison,521,Spain,Female,34,7,70731.07,1,1,1,20243.97,1
1456,15784280,Reilly,686,Germany,Male,35,2,109342.82,2,0,1,86043.27,0
1457,15789546,Ojiofor,639,Spain,Male,28,8,0,2,1,0,126561.07,0
1458,15590320,Shelton,850,France,Male,66,4,0,2,0,1,64350.8,0
1459,15678385,Lange,465,France,Male,25,2,78247.31,2,1,1,10472.31,0
1460,15571778,Trentini,817,France,Female,55,10,117561.49,1,1,0,95941.55,1
1461,15657085,Gardiner,578,France,Male,23,10,88980.32,1,1,1,125222.36,0
1462,15640627,Wan,611,Spain,Male,34,4,0,2,1,0,170950.58,0
1463,15566211,Hsu,616,Germany,Female,41,1,103560.57,1,1,0,236.45,1
1464,15669293,Hovell,517,France,Male,37,5,113308.84,1,0,1,31517.16,0
1465,15595067,Zhirov,637,Spain,Female,40,6,0,2,1,1,181610.6,0
1466,15753566,Espinosa,806,France,Female,32,3,63763.49,1,1,0,156593.09,0
1467,15650391,Wallace,633,France,Female,29,7,169988.35,1,1,0,4272,0
1468,15681843,Barbour,624,Germany,Female,35,0,180303.24,2,1,0,163587.9,0
1469,15814846,Ozerova,691,France,Male,52,3,0,1,1,0,175843.68,1
1470,15670374,Wright,819,Germany,Female,49,1,120656.86,4,0,0,166164.3,1
1471,15762332,Ulyanova,568,Germany,Female,31,1,61592.14,2,1,1,61796.64,0
1472,15700223,Steiner,806,France,Male,48,4,164701.68,1,1,1,21439.49,0
1473,15729956,Akabueze,726,Spain,Female,26,1,80780.16,1,1,1,19225.85,0
1474,15594862,Aleksandrova,552,France,Male,36,8,0,2,0,0,132547.02,0
1475,15598782,Pinto,755,Germany,Female,30,6,154221.37,2,0,1,62688.55,0
1476,15745080,Griffiths,634,France,Male,26,8,0,1,1,0,21760.96,0
1477,15703399,McNeil,756,France,Female,26,5,101641.14,2,0,1,154460.68,0
1478,15732175,Bruno,776,France,Male,37,2,0,1,0,1,8065,0
1479,15630725,Johnson,649,France,Female,45,5,92786.66,1,1,0,173365.9,1
1480,15640260,Okorie,595,Germany,Male,32,8,131081.66,2,1,1,69428.79,0
1481,15716822,Moen,646,France,Male,30,5,98014.74,1,1,1,12757.14,0
1482,15583748,McGuigan,592,Spain,Male,38,8,0,2,1,0,180426.2,0
1483,15605968,Fancher,574,France,Male,26,8,97460.1,1,1,1,43093.67,0
1484,15790683,Matthews,850,France,Male,36,1,104077.19,2,0,1,68594,0
1485,15607713,Kaeppel,850,Spain,Female,29,1,0,2,1,1,197996.65,0
1486,15700212,Shih,475,France,Female,46,10,0,2,0,0,122953,1
1487,15626710,Yudina,642,France,Female,39,4,0,1,1,1,76821.24,0
1488,15716491,Akabueze,710,Spain,Female,51,4,93656.95,1,0,1,141400.51,1
1489,15625824,Kornilova,596,Spain,Male,30,6,121345.88,4,1,0,41921.75,1
1490,15617705,Ozioma,609,France,Female,39,8,141675.23,1,0,1,175664.25,0
1491,15761976,Su,797,Spain,Female,31,8,0,2,1,0,117916.63,0
1492,15634891,Jamison,504,Germany,Female,43,7,102365.49,1,1,0,194690.77,1
1493,15744517,Esposito,735,Spain,Male,50,9,0,1,0,0,166677.35,1
1494,15686963,Hardiman,680,Spain,Female,30,3,0,1,1,0,160131.58,0
1495,15808189,Woodard,449,France,Male,52,6,0,2,0,1,123622,0
1496,15580845,Chienezie,685,Germany,Male,57,7,101868.51,1,0,1,113483.96,0
1497,15799156,Okwuadigbo,569,Spain,Male,38,8,0,2,0,0,79618.79,0
1498,15694296,Chineze,631,France,Male,35,9,112392.45,2,1,0,24472.23,0
1499,15677049,O'Brien,595,Germany,Female,25,7,106570.34,2,0,1,177025.79,0
1500,15583595,Tao,461,France,Female,28,8,0,1,1,1,103349.74,0
1501,15590146,Mao,630,France,Male,50,1,81947.76,1,0,1,63606.22,1
1502,15801548,Buckland,661,France,Female,31,7,144162.3,2,1,1,14490.79,0
1503,15660833,Flannery,796,Germany,Male,39,5,86350.87,2,0,0,105080.53,0
1504,15762277,Jamieson,710,France,Male,47,5,158623.14,1,0,0,83499.89,1
1505,15791302,Swift,741,France,Male,32,8,0,2,1,0,143598.7,0
1506,15798975,Doherty,606,Germany,Male,48,4,132403.56,1,0,0,36091.91,1
1507,15599956,Payne,747,France,Male,27,10,0,2,0,0,13007.89,0
1508,15577274,Genovese,549,Germany,Female,43,3,134985.66,1,1,0,6101.41,0
1509,15701200,Lucciano,576,France,Male,36,6,0,2,1,1,48314,0
1510,15638149,Rowley,528,France,Male,37,6,103772.45,1,1,0,197111.99,0
1511,15786199,Hsing,535,France,Male,33,2,133040.32,1,1,1,110299.78,0
1512,15701765,Vincent,575,Spain,Female,37,0,0,2,0,0,30114.32,0
1513,15586974,Pearce,656,France,Male,39,10,0,2,1,1,98894.64,0
1514,15729040,Lamb,440,France,Male,42,2,0,2,1,0,49826.68,0
1515,15788676,Riley,539,Spain,Male,38,8,71460.67,2,1,1,10074.05,0
1516,15602497,Honore,850,Spain,Male,39,6,133214.13,1,0,1,20769.88,0
1517,15701333,Blackburn,646,France,Female,37,7,96558.66,1,0,0,163427.18,0
1518,15812071,Endrizzi,744,France,Male,54,6,93806.31,2,0,1,140068.77,0
1519,15634375,Duncan,710,Spain,Female,36,8,0,2,0,0,83206.19,0
1520,15738267,Macarthur,544,France,Female,64,3,124043.8,1,1,1,111402.97,1
1521,15786800,Gould,723,Germany,Male,52,5,131694.97,1,0,1,92873.5,1
1522,15591130,Medvedev,507,Spain,Female,29,6,0,2,0,1,94780.9,0
1523,15720662,Sholes,787,France,Female,35,1,106266.8,1,1,1,16607.15,0
1524,15751531,Shaw,598,Spain,Male,41,8,0,2,1,1,161954.43,0
1525,15653595,Ts'ai,796,France,Male,51,6,0,2,0,1,194733.28,0
1526,15568360,Rolon,569,Spain,Female,41,4,139840.36,1,1,1,163524.7,0
1527,15781210,Reid,711,France,Male,34,8,0,2,0,0,48260.19,0
1528,15668058,Chinwendu,661,Germany,Male,35,8,124098.54,1,1,0,86678.48,0
1529,15597131,Fu,415,France,Male,32,5,145807.59,1,1,1,3064.65,0
1530,15697283,Mackenzie,578,Spain,Male,23,8,0,2,1,0,112124.98,0
1531,15640953,Bligh,611,France,Female,26,2,107508.93,2,1,1,120801.65,0
1532,15715031,Davidson,600,France,Female,28,6,0,2,0,1,52193.23,0
1533,15589660,Lamble,661,Germany,Female,32,1,145980.23,1,0,1,56636.28,0
1534,15769818,Moore,850,France,Female,37,3,212778.2,1,0,1,69372.88,0
1535,15782736,Jose,573,Germany,Female,47,4,152522.47,1,0,1,164038.07,1
1536,15614818,Trevisani,764,Spain,Female,33,9,168964.77,1,0,1,118982.51,0
1537,15794014,Schofield,838,France,Female,34,8,0,2,1,0,27472.07,0
1538,15732448,Stewart,821,France,Female,28,8,0,1,1,1,36754.13,0
1539,15723411,Jamieson,607,Spain,Female,36,4,98266.3,1,1,1,46416.36,0
1540,15797686,Howard,558,France,Male,38,8,113000.92,1,1,1,152872.39,0
1541,15605950,Onwuamaeze,530,Germany,Male,23,1,137060.88,2,1,1,165227.23,0
1542,15812497,D'Albertis,654,Germany,Male,37,5,112146.12,1,1,0,75927.35,0
1543,15690678,Brooks,530,France,Female,33,4,129307.32,1,1,1,172930.28,0
1544,15747677,Gordon,656,Spain,Male,69,6,163975.09,1,1,1,36108.5,0
1545,15618926,Nwachukwu,520,Spain,Male,43,7,0,2,1,1,36202.74,0
1546,15673908,Chinweike,602,Germany,Female,42,6,158414.85,1,1,1,131886.46,0
1547,15727944,Simpkinson,701,Germany,Female,48,1,92072.68,1,1,1,133992.36,0
1548,15807294,Walker,653,Spain,Female,30,2,88243.29,2,1,1,96658.26,0
1549,15618581,Diribe,668,Spain,Male,25,8,0,2,1,1,135112.09,0
1550,15584364,Trentini,652,France,Male,48,4,59486.31,1,1,0,163944.18,1
1551,15599552,Conway,639,Spain,Female,54,2,0,2,1,1,53843.71,0
1552,15749177,Maslow,730,Spain,Female,52,7,0,2,0,1,122398.84,0
1553,15718779,Clark,780,France,Male,34,1,0,1,1,1,64804.04,0
1554,15568106,L?,592,France,Female,38,8,119278.01,2,0,1,19370.73,0
1555,15779481,Swadling,628,France,Male,34,4,158741.43,2,1,1,126192.54,0
1556,15709994,Gallo,658,France,Female,40,7,140596.95,1,0,1,135459.02,1
1557,15772777,Onyemachukwu,850,Spain,Female,29,10,0,2,1,1,94815.04,0
1558,15706815,Samoylova,515,Germany,Male,37,2,90432.92,1,1,1,188366.04,1
1559,15618018,Dickson,571,France,Female,35,1,104783.81,2,0,1,178512.52,0
1560,15671032,He,760,Germany,Male,42,0,77992.97,2,1,1,97906.38,0
1561,15634281,P'an,720,Germany,Female,43,10,110822.9,1,0,0,72861.94,0
1562,15766374,Leak,632,Germany,Male,42,4,119624.6,2,1,1,195978.86,0
1563,15600991,Artemieva,694,Germany,Male,31,6,109052.59,2,1,1,19448.93,1
1564,15777576,Frost,559,Spain,Female,40,5,139129.44,1,0,1,32635.54,0
1565,15742613,Warner,773,Germany,Female,42,8,152324.66,2,1,0,171733.22,0
1566,15649523,Kennedy,581,France,Male,38,1,0,2,1,0,46176.22,0
1567,15651063,Ifeatu,524,Germany,Female,37,9,127480.58,2,1,0,179634.69,0
1568,15683124,Evans,713,France,Male,53,6,115029.4,1,0,0,191521.32,1
1569,15618314,Chu,676,France,Male,40,8,114005.78,1,1,1,67998.45,0
1570,15670823,Hsueh,651,Germany,Female,42,1,116646.76,1,1,0,44731.8,1
1571,15607133,Shih,717,Spain,Female,49,1,110864.38,2,1,1,124532.9,1
1572,15615012,Fan,594,France,Male,23,5,156267.59,1,1,0,160968.44,0
1573,15725141,Whiddon,716,France,Female,44,3,109528.28,1,1,0,27341.63,1
1574,15623560,Onyekachukwu,668,France,Female,35,6,102482.76,1,1,1,53994.64,0
1575,15693018,Ermakova,678,Germany,Male,23,10,115563.71,1,1,1,91633.53,0
1576,15636756,Marino,545,France,Male,23,2,0,2,1,0,189613.12,0
1577,15647474,Niu,613,France,Female,40,9,95624.36,2,1,1,60706.33,0
1578,15576714,Manna,687,Spain,Female,21,8,0,2,1,1,154767.34,0
1579,15585047,Onyemere,715,France,Male,28,7,160376.61,1,0,0,196853.11,0
1580,15743976,Archer,618,Germany,Male,41,8,37702.79,1,1,1,195775.48,0
1581,15793881,Mitchell,721,France,Female,35,6,118273.83,1,0,1,3086.89,0
1582,15576517,Everingham,445,Germany,Female,34,7,131082.17,2,1,1,70618,0
1583,15631072,Huie,690,France,Male,38,1,94456,2,0,1,55034.02,0
1584,15730394,Crowther,709,France,Female,43,8,0,2,0,0,168035.62,1
1585,15631460,Swift,671,Spain,Female,42,3,0,2,1,1,128449.33,0
1586,15692002,Skelton,538,France,Male,33,6,93791.38,1,1,1,199249.29,0
1587,15595282,White,735,France,Female,33,4,0,2,1,0,149474.69,0
1588,15789548,Giordano,592,France,Female,37,7,0,2,1,1,126726.33,0
1589,15758035,Bateson,747,France,Male,61,7,155973.13,1,0,1,147554.26,0
1590,15617518,Hu,675,Germany,Male,36,7,89409.95,1,1,1,149399.7,0
1591,15651802,Day,632,Spain,Female,39,5,97854.37,2,1,0,93536.38,0
1592,15631813,Beneventi,621,France,Male,39,6,0,2,1,1,58883.91,0
1593,15729668,Elizabeth,521,Spain,Male,29,3,60280.62,1,1,0,154271.41,0
1594,15741728,Atkins,591,Spain,Male,36,7,135216.8,1,1,1,122022.89,0
1595,15576676,Serrano,706,Germany,Female,28,6,124923.35,2,1,1,50299.14,0
1596,15711378,Willis,677,France,Male,38,4,0,2,1,0,187800.63,0
1597,15765520,Stevenson,769,Germany,Male,27,7,188614.07,1,1,0,171344.09,0
1598,15656726,Ch'ien,771,France,Male,32,5,62321.62,1,1,1,40920.59,0
1599,15647842,Cunningham,601,Germany,Female,48,8,120782.7,1,1,0,63940.68,1
1600,15719309,Stephens,670,France,Female,42,1,115961.58,2,0,1,29483.87,0
1601,15748718,Gordon,517,France,Male,28,2,115062.61,1,1,0,179056.23,0
1602,15594404,Bevan,834,France,Female,49,8,160602.25,2,1,0,129273.94,0
1603,15751158,Mashman,571,France,Female,42,4,108825.34,3,1,0,55558.51,1
1604,15593470,Tu,576,Germany,Female,36,8,166287.85,1,1,1,23305.85,0
1605,15695129,Milanesi,718,France,Female,31,1,152663.77,1,0,1,17128.64,0
1606,15640865,Romano,636,Germany,Female,31,9,80844.69,2,1,1,74641.9,0
1607,15714080,Goliwe,566,Germany,Female,40,2,97001.36,2,1,0,154486.01,0
1608,15648721,Hsueh,711,France,Male,64,4,0,2,1,1,3185.67,0
1609,15801466,Gray,574,France,Female,39,2,122524.61,2,1,0,88463.63,0
1610,15750248,Wright,619,France,Female,35,8,132292.63,1,1,0,65682.93,0
1611,15758726,Chiemeka,588,France,Female,24,0,0,2,1,1,140586.08,0
1612,15781553,Chung,760,Germany,Female,49,9,91502.99,1,1,0,117232.9,1
1613,15649121,Pinto,665,France,Male,52,3,0,1,1,0,116137.01,1
1614,15674811,Kellway,739,Germany,Male,29,3,59385.98,2,1,1,105533.96,0
1615,15646037,Sopuluchi,641,France,Male,77,9,0,3,1,1,81514.06,0
1616,15722578,Spitzer,685,Germany,Female,21,6,97956.5,1,1,1,164966.27,0
1617,15665695,Potter,594,France,Female,49,4,0,2,1,1,23631.55,0
1618,15801062,Matthews,557,Spain,Female,40,4,0,2,0,1,105433.53,0
1619,15662955,Nicholls,697,France,Male,27,8,141223.68,2,1,0,90591.15,0
1620,15770309,McDonald,656,France,Male,18,10,151762.74,1,0,1,127014.32,0
1621,15657386,Fiorentini,712,Germany,Male,43,1,141749.74,2,0,1,90905.26,0
1622,15777797,Kovalyova,689,Spain,Male,38,5,75075.14,1,1,1,8651.92,1
1623,15783955,Miah,697,France,Female,25,4,165686.11,2,1,0,15467.98,0
1624,15804516,Builder,589,France,Male,38,2,0,1,1,0,79915.28,0
1625,15681758,Baddeley,525,Spain,Female,25,10,0,2,1,0,69361.95,0
1626,15630321,Hu,680,France,Male,44,3,0,2,1,0,86935.08,0
1627,15588248,Hs?,617,France,Female,28,0,0,2,1,1,7597.83,1
1628,15591932,Ford,680,France,Male,32,5,92961.61,1,1,0,116957.6,0
1629,15810347,Todd,662,Spain,Female,30,9,0,2,0,1,157884.83,0
1630,15595303,Johnston,736,Germany,Male,46,5,130812.91,1,1,1,77981.54,1
1631,15634950,Obiajulu,657,Germany,Male,57,8,107174.58,1,1,1,126369.55,1
1632,15685372,Azubuike,350,Spain,Male,54,1,152677.48,1,1,1,191973.49,1
1633,15745827,Padovesi,617,France,Male,30,3,132005.77,1,1,0,142940.39,0
1634,15755868,Farmer,562,France,Male,35,7,0,1,0,0,48869.67,0
1635,15735222,Ignatieff,705,Spain,Female,23,5,0,2,1,1,73131.73,0
1636,15604804,Lu,516,France,Female,33,7,127305.5,1,1,1,120037.36,0
1637,15718944,Artemiev,573,France,Female,37,6,0,2,1,0,193995.37,0
1638,15678626,Okonkwo,538,Spain,Female,31,0,0,2,0,0,179453.66,0
1639,15571550,Dore,699,France,Male,39,9,0,1,1,0,80963.92,0
1640,15723053,T'ang,504,Germany,Male,32,8,170291.22,2,0,1,15658.99,0
1641,15661528,Ashbolt,583,Spain,Male,47,5,102562.23,1,1,0,92708.1,0
1642,15754177,Bazarova,712,Spain,Male,53,2,111061.01,2,0,0,26542.17,0
1643,15683544,Buccho,626,Spain,Male,62,3,0,1,1,1,65010.74,0
1644,15708048,Burn,631,France,Female,34,4,124379.14,1,1,0,106892.91,0
1645,15701109,Andreyev,663,France,Female,37,7,0,1,1,1,185210.63,0
1646,15600110,Endrizzi,506,Germany,Female,41,3,57745.76,1,1,0,4035.46,0
1647,15651533,Brown,570,Germany,Female,50,5,129293.74,1,1,0,177805.44,1
1648,15777904,Nock,703,France,Female,45,7,0,2,1,1,68831.72,0
1649,15655574,Okeke,698,Germany,Female,40,8,150777.1,1,1,0,114732.62,0
1650,15569423,Cunningham,731,Spain,Male,41,4,0,2,1,0,22299.27,0
1651,15718106,Kelley,625,France,Male,34,6,0,2,0,0,197283.2,0
1652,15585067,Wilson,634,Spain,Male,31,9,108632.48,1,1,1,179485.96,1
1653,15675501,Woods,616,France,Male,59,5,153861.1,1,1,1,17699.48,0
1654,15633233,McFarland,500,France,Male,56,1,100374.58,1,1,0,118490.8,1
1655,15667134,Cisneros,446,France,Male,32,8,0,2,0,0,133292.94,0
1656,15659105,Borchgrevink,669,France,Female,47,9,61196.54,1,1,0,58170.24,0
1657,15575409,Rozhkova,581,Germany,Male,31,6,116891.72,1,1,0,107137.3,0
1658,15752342,Bradley,704,Germany,Female,54,6,133656.91,3,1,0,145071.33,1
1659,15654851,Obialo,748,France,Male,44,2,92911.52,1,0,1,85495.24,0
1660,15741429,Hudson,680,Spain,Female,31,9,119825.75,2,1,1,101139.3,0
1661,15682356,Veltri,655,France,Female,37,7,111852.84,2,1,0,10511.13,0
1662,15806447,Mazzanti,690,Germany,Male,32,0,106683.52,2,1,1,137916.49,0
1663,15800229,Thorpe,695,Germany,Male,40,7,139022.24,1,0,1,193383.13,0
1664,15663441,Golibe,700,Germany,Female,40,4,148571.07,1,1,0,189826.96,1
1665,15791991,Udinesi,773,France,Male,52,4,0,1,0,1,144113.42,0
1666,15775082,Stewart,749,France,Male,42,1,129776.72,2,0,1,143538.51,0
1667,15579706,Curtis,611,France,Female,46,5,0,1,1,0,77677.14,1
1668,15718247,Hayden,606,Spain,Female,46,8,0,2,1,1,183717.94,0
1669,15755722,H?,554,France,Male,24,10,0,1,0,0,92180.62,0
1670,15582259,Campbell,567,France,Female,37,7,0,2,1,1,28690.9,0
1671,15716994,Green,559,Spain,Male,24,3,114739.92,1,1,0,85891.02,1
1672,15586880,P'eng,594,Germany,Male,41,2,122545.65,2,1,1,42050.24,0
1673,15713854,Cremonesi,513,France,Female,37,6,0,2,1,0,110142.34,0
1674,15780835,Liang,652,Germany,Female,26,1,131908.35,1,1,1,179269.79,0
1675,15675896,Gough,680,Germany,Female,42,7,105722.69,1,1,1,90558.24,1
1676,15658459,Bates,784,Spain,Male,33,10,0,2,1,0,162022.47,0
1677,15658057,Padovesi,812,Spain,Female,44,8,0,3,1,0,66926.83,1
1678,15801767,Yin,784,Spain,Female,40,8,0,2,1,0,108891.3,0
1679,15569178,Kharlamov,570,France,Female,18,4,82767.42,1,1,0,71811.9,0
1680,15731478,Nicholls,712,France,Female,42,1,87842.98,1,0,0,92223.59,0
1681,15811236,Burns,705,Spain,Male,39,6,133261.13,1,1,1,78065.9,0
1682,15746749,Fleming,681,Spain,Female,32,3,0,2,1,1,59679.9,0
1683,15662758,Watson,620,France,Male,41,0,97925.11,1,1,0,85000.32,0
1684,15709387,Obiajulu,711,France,Male,52,5,0,1,1,1,159808.95,0
1685,15572093,Han,613,France,Female,24,7,140453.91,1,1,0,129001.3,0
1686,15713826,Ferguson,613,Germany,Female,20,0,117356.19,1,0,0,113557.7,1
1687,15570205,Tao,682,Spain,Male,36,5,0,2,1,1,147758.51,0
1688,15589348,Le Grand,850,Spain,Male,37,4,137204.77,1,1,1,28865.59,0
1689,15804610,Valdez,601,France,Female,41,1,0,2,0,1,160607.06,0
1690,15700854,Cunningham,595,Spain,Male,35,8,0,1,1,0,100015.79,1
1691,15758836,Godfrey,675,Spain,Male,36,3,54098.18,2,0,1,54478.52,0
1692,15772933,Mai,591,Spain,Male,31,8,0,1,1,1,141677.33,0
1693,15809006,Walker,602,France,Male,23,7,113758.48,2,0,0,84077.6,0
1694,15689612,Pirozzi,554,Spain,Female,34,8,0,1,0,1,106981.03,0
1695,15744614,Feng,541,France,Male,37,9,118636.92,1,1,1,73551.44,0
1696,15704250,Akabueze,506,France,Male,34,7,0,2,0,0,115842.1,0
1697,15700255,Robson,814,Germany,Male,44,8,95488.82,2,0,0,107013.59,0
1698,15669410,Yevdokimova,683,France,Male,30,8,110829.52,2,0,0,24938.84,0
1699,15807595,Ijendu,485,Germany,Male,51,7,144244.59,2,1,0,51113.14,0
1700,15664523,Colombo,696,Germany,Female,31,8,122021.92,2,1,0,33828.64,0
1701,15642833,Akubundu,608,France,Female,30,8,0,2,1,0,128875.86,0
1702,15605279,Francis,792,France,Male,50,9,0,4,1,1,194700.81,1
1703,15713644,Marshall,686,Spain,Male,22,5,0,2,1,0,158974.45,0
1704,15750466,Rhodes,790,Germany,Male,42,1,85839.62,1,1,0,198182.73,0
1705,15739054,Y?,654,France,Female,29,4,96974.97,1,0,1,141404.07,0
1706,15612771,Bell,452,France,Male,35,4,148172.44,1,1,1,4175.68,0
1707,15788483,Kerr,719,Spain,Male,38,0,0,1,1,0,126876.47,0
1708,15732832,Jideofor,707,France,Female,40,5,0,2,1,0,41052.82,0
1709,15772892,Robertson,699,France,Female,49,2,0,1,0,0,105760.01,0
1710,15713843,Kao,850,Spain,Male,30,2,0,2,0,1,27937.12,0
1711,15567993,Palmer,828,Spain,Male,28,8,134766.85,1,1,0,79355.87,0
1712,15617603,Mackay,850,Germany,Male,30,5,123210.56,2,1,1,102180.27,0
1713,15744983,Burgmann,712,Spain,Male,47,1,139887.01,1,1,1,95719.73,0
1714,15630419,Davis,634,France,Male,44,9,149961.11,1,1,0,57121.51,0
1715,15738828,Milano,730,Germany,Male,45,6,152880.97,1,0,0,162478.11,0
1716,15778025,Dellucci,685,Germany,Male,43,9,108589.47,2,0,1,194808.51,0
1717,15799479,Coles,809,Spain,Male,33,9,0,1,1,1,124045.65,0
1718,15684269,Gray,707,Spain,Female,35,3,56674.48,1,1,0,17987.4,1
1719,15762745,Macvitie,648,Spain,Male,32,8,0,1,1,0,133653.38,0
1720,15746970,Townsend,760,Spain,Female,57,1,0,2,1,1,25101.17,0
1721,15725024,Pope,805,Germany,Female,33,3,105663.56,2,0,1,33330.89,0
1722,15592116,Jensen,585,France,Female,39,7,0,2,1,0,2401.26,0
1723,15624391,Thomson,595,Spain,Female,30,5,100683.54,1,1,1,178361.04,0
1724,15567422,Chiazagomekpele,630,France,Male,42,6,0,2,1,0,162697.93,0
1725,15612627,Ozuluonye,627,Germany,Male,29,5,139541.58,2,1,0,80607.33,0
1726,15574879,Wright,631,Germany,Female,37,2,121801.72,2,0,1,23146.62,0
1727,15745107,Lung,776,Germany,Male,38,5,112281.7,1,0,1,89893.6,0
1728,15734491,Lombardo,676,Spain,Female,36,4,0,2,1,1,3173.31,0
1729,15675320,Leonard,758,Spain,Female,40,5,93499.82,2,0,0,123218.81,0
1730,15643824,Johnston,637,France,Male,33,0,132255.99,2,0,1,74588.41,0
1731,15643438,P'eng,850,France,Male,20,7,0,2,1,0,31288.77,0
1732,15721730,Amechi,601,Spain,Female,44,4,0,2,1,0,58561.31,0
1733,15680727,Fang,735,France,Male,49,5,121973.28,1,1,0,148804.36,0
1734,15752508,Docherty,614,Germany,Male,32,7,99462.8,2,1,1,51117.06,0
1735,15808846,Horton,672,Germany,Female,21,3,165878.76,2,1,1,164537.17,0
1736,15727251,Vincent,642,France,Male,30,8,117494.27,1,0,0,61977.82,0
1737,15663489,Onio,633,Germany,Female,29,0,138577.34,1,1,0,193362.99,0
1738,15683677,Schiavone,769,Spain,Male,39,9,0,1,1,1,47722.79,0
1739,15596414,Chandler,796,Spain,Male,41,8,107525.07,1,1,0,18510.41,0
1740,15730639,Fiorentino,715,France,Male,23,7,139224.92,2,1,0,65057.71,0
1741,15672132,Butusov,695,France,Female,42,7,121453.63,1,0,0,46374.64,0
1742,15742638,Wang,747,France,Female,25,4,0,2,0,1,42039.67,0
1743,15578603,Alexeieva,584,Germany,Female,54,1,77354.37,1,0,0,138192.98,1
1744,15726088,Vinogradova,476,France,Male,40,6,0,1,1,1,22735.45,0
1745,15682533,Hughes,850,France,Female,39,7,79259.99,1,0,1,186910.74,0
1746,15772995,Ts'ao,529,France,Male,30,2,116295.29,1,1,0,75285.47,0
1747,15765694,Bage,584,Spain,Female,59,1,0,1,0,1,130260.11,1
1748,15659486,Yudina,586,Germany,Male,34,9,74309.81,1,1,0,15034.93,0
1749,15568963,Naquin,674,Germany,Male,34,2,152797.9,1,1,0,175709.4,1
1750,15703820,Endrizzi,552,France,Male,42,9,133701.07,2,1,0,101069.71,1
1751,15569410,Tang,601,Germany,Female,33,7,114430.18,2,1,1,153012.13,0
1752,15632256,Schroeder,541,France,Male,29,7,127504.57,1,0,0,86173.92,0
1753,15724466,Swearingen,744,Germany,Female,41,2,84113.41,1,1,0,197548.63,0
1754,15777639,McGregor,595,Spain,Female,23,10,101126.66,2,0,0,37042.8,0
1755,15802501,Onyeorulu,724,Germany,Male,33,5,103564.83,2,1,0,121085.72,0
1756,15778410,Clarke,533,Spain,Female,52,7,0,1,0,1,194113.99,1
1757,15670702,Smith,618,France,Male,37,2,168178.21,2,0,1,101273.23,0
1758,15704763,Kozlova,523,Germany,Female,39,1,143903.11,1,1,1,118711.75,1
1759,15645544,Nekrasov,642,Germany,Female,30,5,129753.69,1,1,0,582.53,0
1760,15757646,Olague,584,France,Male,35,9,0,2,1,0,192381.21,0
1761,15701121,Holt,521,France,Male,38,5,110641.18,1,0,1,136507.69,1
1762,15796313,Olsen,662,France,Female,36,4,166909.2,2,1,0,138871.12,1
1763,15815660,Mazzi,758,France,Female,34,1,154139.45,1,1,1,60728.89,0
1764,15602844,Niu,717,France,Male,38,7,97459.06,1,0,0,189175.71,0
1765,15636238,Graham,611,France,Male,40,1,0,2,1,1,102547.56,0
1766,15770101,Millar,766,Germany,Male,43,6,112088.04,2,1,1,36706.56,0
1767,15645543,Bell,636,France,Female,34,3,0,2,1,1,44756.25,0
1768,15596397,Kelly,814,France,Female,48,7,0,2,1,1,132870.15,0
1769,15770525,T'an,760,Spain,Male,28,1,141038.57,2,0,0,16287.38,0
1770,15684267,Davila,607,Germany,Male,39,2,84468.67,2,1,1,121945.42,0
1771,15689980,Willis,725,Spain,Female,36,4,118520.26,1,0,0,131173.9,1
1772,15633260,Dumetochukwu,600,France,Male,37,1,142663.46,1,0,1,88669.89,0
1773,15756471,Giles,656,Germany,Male,27,4,118627.16,2,1,1,160835.3,0
1774,15721303,O'Meara,640,Spain,Male,34,1,137523.02,1,0,0,24761.36,0
1775,15802256,Yao,439,France,Male,28,7,110976.23,2,1,0,138526.96,0
1776,15725664,Wallace,549,France,Female,38,8,107283.4,1,0,0,157442.75,0
1777,15674851,T'ien,622,France,Male,38,5,0,2,0,0,105295.77,0
1778,15701946,Ndubueze,715,France,Male,34,4,124314.45,1,0,0,97782.92,0
1779,15748947,Chukwuraenye,657,France,Female,41,5,95858.37,1,1,1,68255.88,0
1780,15673342,K'ung,703,France,Male,36,2,0,2,1,0,108790.95,0
1781,15601008,Stevenson,802,France,Male,33,8,0,2,1,0,143706.18,0
1782,15771636,Marshall,793,Spain,Female,36,0,0,1,0,0,148993.47,0
1783,15642002,Hayward,554,France,Female,35,6,117707.18,2,0,0,95277.15,1
1784,15693381,Tipton,533,Spain,Male,38,1,135289.33,2,0,1,152956.33,0
1785,15607691,Gibson,658,France,Male,36,8,174060.46,1,1,1,94925.62,0
1786,15589380,Fraser,713,Germany,Male,40,3,114446.84,2,1,1,87308.18,0
1787,15603846,Fang,711,Spain,Male,37,2,0,2,1,0,83978.86,1
1788,15753549,Dubinina,669,France,Male,25,1,157848.53,1,0,0,37543.93,1
1789,15725355,Morey,439,France,Female,43,8,0,1,0,1,104889.3,0
1790,15773017,Todd,763,Spain,Female,37,6,0,2,1,1,149705.25,0
1791,15625641,Forbes,697,Germany,Female,74,3,108071.36,2,1,1,16445.79,0
1792,15776467,De Salis,702,Spain,Female,35,8,14262.8,2,1,0,54689.16,0
1793,15746451,Barry,686,Spain,Male,41,7,102749.72,1,0,1,194913.86,0
1794,15777922,Afamefuna,629,Spain,Male,36,1,161757.87,2,1,1,146371.72,0
1795,15606841,Ibbott,823,France,Male,38,1,0,2,1,0,156603.7,0
1796,15757648,Marshall,683,Germany,Female,35,5,95698.79,1,0,1,182566.76,0
1797,15677173,Law,555,France,Male,37,9,124969.13,1,1,0,60194.05,0
1798,15764170,Pinto,647,Germany,Male,44,4,93960.35,1,1,0,36579.53,1
1799,15610446,Chinedum,714,France,Female,51,4,88308.87,3,0,0,5862.53,1
1800,15612776,McKay,850,Spain,Female,39,10,0,2,1,1,143030.09,0
1801,15794122,Otutodilinna,713,France,Female,59,3,0,2,1,1,62700.08,0
1802,15774931,She,452,France,Male,30,7,112935.87,1,1,1,99017.34,0
1803,15779247,Pai,683,Spain,Female,24,8,98567.1,1,1,0,187987.01,0
1804,15707078,Kruglov,577,France,Female,26,1,180530.51,1,0,0,123454.62,0
1805,15605263,Chin,552,France,Male,33,5,140931.57,1,0,1,10921.5,0
1806,15607381,King,769,Germany,Female,31,7,148913.72,2,1,0,53817.23,0
1807,15683471,Hansen,691,France,Male,38,7,0,2,0,0,81617.4,0
1808,15605037,Ting,818,France,Female,49,2,0,1,0,1,192298.84,1
1809,15576085,Stone,739,France,Male,41,5,0,2,0,0,143882.25,0
1810,15770435,McLean,639,France,Female,50,6,115335.32,2,1,1,53130.41,0
1811,15592994,Zikoranachidimma,651,France,Female,65,0,0,2,1,1,190454.04,0
1812,15624068,Fu,779,France,Female,26,0,0,2,0,1,111906,0
1813,15595221,Trevisano,850,Germany,Female,33,7,134678.13,1,1,0,113177.95,0
1814,15637131,Fallaci,829,France,Male,38,9,0,2,1,0,30529.88,0
1815,15613471,Wiley,579,Germany,Male,31,2,90547.48,2,1,1,18800.13,0
1816,15583499,Chiagoziem,510,France,Male,32,9,103324.78,1,1,1,46127.7,0
1817,15752816,Murray,531,France,Male,29,3,114590.58,1,0,0,75585.48,0
1818,15804075,Chuang,628,Germany,Female,36,3,91286.51,1,1,0,63085.94,0
1819,15800517,Huang,633,Spain,Male,32,5,163340.12,2,1,1,74415.2,0
1820,15712319,Chukwukere,714,Spain,Male,45,8,150900.29,2,0,1,139889.15,0
1821,15797389,Hsia,604,Spain,Male,23,9,124577.33,1,1,1,7267.25,0
1822,15621432,Lee,630,Spain,Male,35,1,0,2,0,0,186826.22,0
1823,15779390,Theus,850,Spain,Female,31,4,91292.7,1,1,1,162149.07,0
1824,15711219,Jennings,788,Germany,Female,57,8,93716.72,1,1,1,180150.49,1
1825,15770498,Parker,798,France,Female,37,4,111723.08,1,1,1,83478.12,0
1826,15678727,Tan,770,Germany,Male,45,4,110765.68,1,1,0,26163.74,1
1827,15573893,Barry,569,Germany,Male,25,9,173459.45,2,1,1,44381.06,0
1828,15740104,Tuan,425,Spain,Female,22,7,169649.73,2,0,1,136365,1
1829,15792649,Patterson,547,Spain,Female,31,9,0,2,0,0,99294.22,0
1830,15605275,Ofodile,725,Germany,Male,45,8,116917.07,1,0,0,173464.43,1
1831,15572467,Chandler,506,France,Male,37,5,0,2,1,1,127543.81,0
1832,15738219,Nash,632,France,Female,36,7,0,2,1,1,52526.65,0
1833,15600710,Atkinson,620,France,Male,22,0,0,1,1,0,32589.45,0
1834,15804394,Brenan,663,Germany,Male,32,8,130627.66,1,1,0,47161.25,1
1835,15694188,Obidimkpa,700,Spain,Female,46,5,56580.95,2,0,1,45424.13,0
1836,15583718,Terry,696,Germany,Male,38,6,142316.14,1,1,1,8018.49,0
1837,15802478,Spring,767,Spain,Male,31,6,0,2,1,1,195668,0
1838,15619343,Mahmood,561,France,Male,56,7,152759,2,1,0,133167.11,1
1839,15758813,Campbell,350,Germany,Male,39,0,109733.2,2,0,0,123602.11,1
1840,15761374,Bellucci,706,France,Male,54,9,117444.51,1,1,1,186238.85,0
1841,15569209,Amaechi,464,Spain,Female,34,5,76001.57,1,1,1,158668.87,0
1842,15788539,Foxall,501,France,Female,34,3,107747.57,1,1,0,9249.36,0
1843,15747222,Bentley,745,Spain,Female,35,8,0,2,1,1,116581.1,0
1844,15769346,Baird,587,France,Female,36,1,134997.49,2,1,0,44688.08,0
1845,15699634,Howard,667,France,Female,48,2,0,2,1,1,148608.39,0
1846,15589076,Henry,737,France,Male,36,9,0,1,0,1,188670.9,1
1847,15812338,Sopuluchukwu,485,Spain,Female,30,7,0,1,1,0,107067.37,0
1848,15758845,Rocher,590,Spain,Female,37,0,64345.21,1,0,1,61759.33,1
1849,15685844,White,518,Germany,Female,35,8,141665.63,1,0,1,192776.64,0
1850,15583090,Komar,581,Spain,Female,29,8,0,2,1,0,46735.19,0
1851,15587581,Russo,785,Germany,Female,33,5,136624.6,2,1,1,169117.74,0
1852,15633640,Loewenthal,799,France,Female,52,4,161209.66,1,1,1,89081.41,0
1853,15573741,Aliyeva,698,Spain,Male,38,10,95010.92,1,1,1,105227.86,0
1854,15633574,Montes,730,France,Female,41,4,167545.32,1,1,0,128246.81,0
1855,15711455,Kuo,740,Germany,Female,36,4,109044.6,1,0,0,94554.74,1
1856,15570601,Cheng,785,France,Female,47,9,122031.55,1,1,1,33823.5,1
1857,15690925,McIntosh,527,Spain,Female,29,2,27755.97,1,1,0,97468.44,1
1858,15709338,T'ao,544,France,Female,29,1,118560.55,1,1,1,164137.36,0
1859,15780746,Tyndall,705,France,Male,61,4,0,2,1,1,191313.7,0
1860,15681956,Bailey,684,France,Male,34,9,0,2,1,1,65257.57,0
1861,15778190,Onyekaozulu,639,Spain,Female,28,8,97840.72,1,1,1,178222.77,0
1862,15786852,Nwachukwu,565,Germany,Female,38,2,158651.29,2,1,1,179445.28,0
1863,15726494,Romani,481,France,Male,44,9,175303.06,1,1,0,65500.53,1
1864,15641183,Chin,731,Spain,Male,25,8,96950.21,1,1,0,97877.92,0
1865,15805312,Bellucci,607,France,Male,45,7,123859.6,1,0,1,113051.57,0
1866,15636572,Christmas,760,France,Female,32,7,0,2,1,1,105969.05,0
1867,15632575,Moore,559,France,Female,70,9,0,1,1,1,122996.76,0
1868,15740164,Genovesi,715,France,Female,33,3,85227.84,1,1,1,68087.15,0
1869,15574947,Cartwright,656,France,Male,36,8,97786.08,2,0,1,21478.36,0
1870,15597909,Johnstone,652,Germany,Male,33,7,128135.99,1,1,0,158437.73,0
1871,15782574,Warner,624,Spain,Male,33,6,0,2,0,0,76551.7,0
1872,15734999,Stephenson,634,Spain,Male,36,2,85996.19,1,1,0,15887.68,0
1873,15706593,Ellis,850,Spain,Female,50,10,0,2,1,1,33741.84,0
1874,15766686,Nebechi,659,Germany,Female,39,1,104502.11,1,1,0,20652.69,0
1875,15590268,Chu,529,Spain,Male,35,5,95772.97,1,1,1,112781.5,0
1876,15763055,Onuchukwu,572,Spain,Male,31,5,98108.79,1,0,1,119996.95,0
1877,15664754,Steele,640,Germany,Male,39,9,131607.28,4,0,1,6981.43,1
1878,15643630,Quaife,770,Spain,Male,55,9,63127.41,2,1,0,185211.28,1
1879,15641043,Scott,648,Spain,Male,35,7,0,2,1,1,78436.36,0
1880,15768095,Yeh,579,France,Male,31,9,0,1,0,1,139048,0
1881,15811314,Y?,589,Germany,Female,36,9,140355.56,2,1,0,136329.96,0
1882,15669922,Conti,530,Spain,Female,36,2,0,2,1,1,14721.8,0
1883,15707114,Holder,831,France,Male,30,2,0,2,0,1,3430.38,0
1884,15670602,Burgess,790,Germany,Male,24,7,107418.27,1,0,1,160450.21,0
1885,15713479,Ozuluonye,656,France,Male,35,6,0,2,1,0,1485.27,0
1886,15663830,De Luca,563,Spain,Male,32,6,0,2,1,1,19720.08,0
1887,15566958,Li Fonti,667,Spain,Male,39,7,167557.12,1,1,1,41183.02,0
1888,15680918,Freeman,613,Spain,Male,34,8,117300.02,1,1,0,139410.08,0
1889,15663921,Pisani,429,France,Male,60,7,0,2,1,1,163691.48,0
1890,15716324,Ignatieff,665,France,Female,23,9,143672.9,1,1,1,115147.33,0
1891,15796969,Lahti,731,France,Male,33,4,0,2,1,1,74945.11,0
1892,15574783,Perkins,584,France,Female,37,1,0,2,1,1,180363.56,0
1893,15773487,Conway,634,Germany,Female,31,8,76798.92,1,0,0,196021.73,0
1894,15802486,Hayes,488,France,Male,34,3,0,2,1,1,125979.36,0
1895,15783398,Rizzo,535,Spain,Female,49,7,115309.75,1,1,0,111421.77,0
1896,15649418,Krylov,776,France,Female,29,7,178171.04,2,1,1,115818.51,0
1897,15604588,Li Fonti,850,Spain,Female,38,3,0,2,0,1,179360.76,0
1898,15735428,Talbot,673,Spain,Female,37,0,0,2,0,0,82351.06,0
1899,15629078,Matthias,850,Germany,Female,45,5,127258.79,1,1,1,192744.23,1
1900,15806880,Boyle,627,Spain,Female,30,6,0,1,1,1,113408.47,0
1901,15754999,Ch'eng,570,France,Female,33,8,0,1,1,1,124641.42,0
1902,15781034,Mason,796,Spain,Male,67,5,0,2,0,1,54871.02,0
1903,15622017,Bruno,773,Spain,Female,33,10,0,1,1,1,98820.09,0
1904,15705885,Smeaton,752,Spain,Male,36,2,0,2,1,1,45570.84,0
1905,15677382,Miller,625,Spain,Female,69,1,107569.96,1,1,1,182336.45,0
1906,15566843,Gotch,535,Germany,Male,20,9,134874.4,1,1,1,118825.56,0
1907,15608387,Fu,786,France,Female,29,4,0,2,1,0,103372.79,0
1908,15810786,O'Toole,620,France,Female,67,3,0,2,1,1,43486.73,0
1909,15626983,Ledford,605,Spain,Female,48,6,0,2,1,1,40062.99,0
1910,15773605,Iadanza,670,Spain,Female,32,3,0,2,1,0,46175.7,0
1911,15811261,Alaniz,617,Spain,Male,42,0,70105.87,1,1,1,120830.73,0
1912,15590606,Saunders,595,France,Male,41,9,0,2,1,0,5967.09,0
1913,15576644,Lin,687,Germany,Female,29,4,78939.15,1,1,0,122134.56,1
1914,15750264,Pinto,757,Germany,Male,30,6,105128.85,2,1,1,62972.13,0
1915,15741554,Streeter,746,Spain,Male,31,2,113836.27,1,1,1,174815.54,0
1916,15769051,Shaw,503,Spain,Male,25,7,0,1,0,1,192841.13,0
1917,15812198,Chen,543,Germany,Male,48,1,100900.5,1,0,0,33310.72,1
1918,15699772,Barclay,428,Germany,Female,40,3,129248.11,2,1,0,72876.43,1
1919,15744105,Kodilinyechukwu,768,France,Female,28,3,109118.05,2,0,1,50911.41,0
1920,15739858,Otitodilichukwu,618,France,Male,56,7,0,1,1,1,142400.27,1
1921,15723720,McKenzie,591,France,Female,31,7,0,2,0,1,48778.46,0
1922,15638355,Woods,658,France,Female,35,5,126397.66,1,0,0,156361.58,1
1923,15805637,Hsing,625,France,Male,36,9,108546.16,3,1,0,133807.77,1
1924,15629575,Wheare,717,France,Male,36,2,148061.89,1,1,0,179128.69,1
1925,15586243,Yobachi,667,France,Male,44,8,122277.87,1,1,1,91810.71,0
1926,15757931,Fang,804,France,Male,24,3,0,2,1,0,173195.33,0
1927,15716023,Pearson,693,France,Male,31,1,0,2,0,1,182270.88,0
1928,15647782,Brown,729,Germany,Male,36,8,152899.24,2,1,0,177130.33,0
1929,15716609,L?,484,Germany,Male,54,3,134388.11,1,0,0,49954.79,1
1930,15623791,Padovesi,632,Spain,Female,40,3,109740.62,1,1,0,141896.74,0
1931,15627262,Soto,536,Germany,Male,23,6,92366.72,2,1,0,120661.71,0
1932,15652693,Greco,573,France,Female,26,4,129109.02,1,0,0,149814.68,1
1933,15586993,Giordano,655,Spain,Female,56,5,0,2,1,1,41782.7,0
1934,15815560,Bogle,666,Germany,Male,74,7,105102.5,1,1,1,46172.47,0
1935,15584930,Grimmett,726,Germany,Male,30,5,111375.32,2,1,0,2704.09,0
1936,15799031,Ayers,523,France,Male,39,3,0,2,1,0,6726.53,0
1937,15810457,Miller,728,Germany,Female,33,9,150412.14,2,1,0,170764.08,0
1938,15697879,Webb,701,France,Male,30,3,156660.72,2,1,0,45742.42,0
1939,15594902,Lombardi,518,France,Male,38,3,90957.81,1,0,1,162304.59,0
1940,15799710,Wei,739,France,Male,37,7,104960.46,1,0,1,80883.82,0
1941,15659651,Ross,531,Germany,Female,31,7,117052.82,1,1,0,118508.09,1
1942,15645956,Jideofor,452,Spain,Male,44,3,88915.85,1,1,0,69697.74,0
1943,15651713,King,684,France,Male,45,6,148071.39,1,1,0,183575.01,0
1944,15737265,Nwokeocha,728,Germany,Male,39,6,152182.83,1,0,0,161203.6,0
1945,15687310,Humphries,783,Spain,Male,39,9,0,2,1,0,143752.77,0
1946,15607347,Olisaemeka,734,France,Male,22,5,130056.23,1,0,0,121894.31,1
1947,15698321,Yobanna,648,Germany,Male,34,3,95039.73,2,1,1,147055.87,0
1948,15657812,Ch'iu,688,France,Male,52,1,0,2,1,1,172033.57,0
1949,15569187,Fleming,680,Spain,Male,35,9,0,2,0,0,143774.06,0
1950,15681562,Trevisan,516,France,Female,43,2,112773.73,2,1,1,139366.58,0
1951,15615456,Aleksandrova,680,France,Female,37,10,123806.28,1,1,0,81776.84,1
1952,15589793,Onwuamaeze,604,France,Male,53,8,144453.75,1,1,0,190998.96,1
1953,15781884,Knox,624,Germany,Male,27,9,94667.29,2,0,1,4470.52,0
1954,15675190,Chia,623,France,Male,21,10,0,2,0,1,135851.3,0
1955,15600734,Townsend,624,Spain,Male,51,5,174397.21,2,1,1,172372.63,0
1956,15779176,Dike,565,Germany,Female,58,3,108888.24,3,0,1,135875.51,1
1957,15605286,Moyes,565,France,Male,55,4,118803.35,2,1,1,128124.7,1
1958,15674922,Beavers,710,France,Male,54,6,171137.62,1,1,1,167023.95,1
1959,15737506,Tretiakova,645,France,Male,42,6,0,1,0,0,149807.01,0
1960,15780514,Fuller,707,France,Male,33,8,136678.52,1,1,0,54290.62,0
1961,15623647,Dellucci,655,Spain,Female,36,1,135515.76,1,1,0,86013.96,0
1962,15668472,Ritchie,705,Spain,Female,24,5,177799.83,2,0,0,79886.06,0
1963,15692416,Aikenhead,358,Spain,Female,52,8,143542.36,3,1,0,141959.11,1
1964,15771139,Douglas,578,Germany,Male,34,8,147487.23,2,1,0,66680.77,0
1965,15738318,Kung,800,France,Female,40,5,97764.41,1,1,0,98640.15,1
1966,15772243,MacDonald,612,France,Female,33,9,0,1,0,0,142797.5,1
1967,15638463,Okwudilichukwu,681,Germany,Female,48,8,139480.18,1,1,1,163581.67,0
1968,15598088,Ni,559,Spain,Male,25,5,0,2,1,1,163221.22,0
1969,15693468,Simmons,488,Spain,Female,39,9,140553.46,1,0,0,12440.44,0
1970,15671930,H?,717,France,Female,36,5,0,2,1,1,145551.6,0
1971,15762268,Hancock,666,France,Female,41,10,141162.08,1,1,0,50908.48,0
1972,15780954,Cran,582,Spain,Male,26,4,65848.36,2,1,0,30149.21,0
1973,15700174,McKay,733,Spain,Female,30,0,83319.28,1,0,0,57769.2,0
1974,15635728,P'an,693,France,Male,41,4,0,2,0,0,156381.47,0
1975,15679283,Parkhill,694,France,Female,33,4,129731.64,2,1,0,178123.86,0
1976,15591386,Golubova,622,France,Female,35,5,0,2,1,0,51112.8,0
1977,15694192,Nwankwo,598,Spain,Female,38,6,0,2,0,0,173783.38,0
1978,15585901,Johnson,717,Spain,Male,35,1,0,3,0,0,174770.14,1
1979,15792329,Mao,494,Germany,Male,37,5,107106.33,2,1,0,172063.09,0
1980,15635597,Echezonachukwu,644,France,Male,33,8,0,2,1,1,155294.17,0
1981,15775880,McElyea,554,France,Female,30,9,0,2,1,1,40320.3,0
1982,15630913,Rosas,476,Spain,Female,69,1,105303.73,1,0,1,134260.34,0
1983,15756680,Phillips,667,France,Male,28,6,165798.1,1,1,0,147090.9,0
1984,15587913,Palerma,748,Spain,Female,40,4,0,2,1,0,132368.47,0
1985,15737605,Morris,531,Spain,Female,45,1,126495.57,2,1,1,164741.5,0
1986,15627876,Pavlova,719,Spain,Female,47,9,116393.59,1,1,0,63051.32,1
1987,15772601,Lu,845,Germany,Female,41,2,81733.74,2,0,0,199761.29,0
1988,15758606,Yamamoto,738,France,Male,54,4,0,1,0,1,55725.04,1
1989,15657107,Angelo,563,Spain,Female,46,8,106171.68,1,1,0,163145.5,1
1990,15622454,Zaitsev,695,Spain,Male,28,0,96020.86,1,1,1,57992.49,0
1991,15775803,Cawker,841,Spain,Male,41,1,0,2,0,1,193093.77,0
1992,15570859,Froggatt,626,Germany,Male,36,2,181671.16,2,1,1,57531.14,0
1993,15748381,Gorbunov,613,France,Female,29,6,185709.28,2,1,1,77242.19,0
1994,15787189,Tai,824,Germany,Male,60,8,134250.17,3,0,0,153046.16,1
1995,15666055,Rowe,705,France,Female,49,7,0,1,1,0,63405.2,1
1996,15617648,Mikkelsen,584,France,Female,44,5,95671.75,2,1,1,106564.88,0
1997,15755678,Kovalyov,534,France,Male,62,2,0,2,0,0,42763.12,1
1998,15624781,Mbanefo,672,France,Female,34,1,142151.75,2,1,1,168753.34,0
1999,15779497,Ts'ai,603,France,Male,43,5,127823.93,1,1,1,19483.35,0
2000,15567399,Enderby,633,Germany,Male,43,3,144164.29,1,1,1,158646.46,0
2001,15613656,Lombardi,842,France,Male,58,1,63492.94,1,1,1,83172.19,0
2002,15734311,Hamilton,661,France,Female,27,3,0,2,1,1,76889.79,0
2003,15657214,Hsia,601,France,Male,74,2,0,2,0,1,51554.58,0
2004,15799350,Mao,632,France,Male,41,0,106134.46,1,0,1,105570.39,0
2005,15729970,Ugochukwu,684,Germany,Male,29,8,127269.75,1,0,1,79495.01,0
2006,15725835,West,785,Germany,Female,32,3,124493.03,2,0,1,52583.79,1
2007,15745543,Hughes,687,France,Male,39,7,0,2,1,0,26848.25,0
2008,15727384,Chukwuemeka,705,Germany,Female,43,10,146547.78,1,0,1,10072.55,1
2009,15666916,Lira,639,France,Male,43,6,99610.92,2,1,0,187296.78,0
2010,15732917,Li,729,Germany,Male,46,5,117837.43,1,1,0,104016.61,1
2011,15612050,Castiglione,556,Spain,Female,48,8,168522.37,1,1,1,151310.16,0
2012,15726267,Paterson,570,France,Male,32,9,117337.54,2,0,1,62810.91,0
2013,15780124,Blair,841,France,Male,74,9,108131.53,1,0,1,60830.38,0
2014,15742238,Dellucci,705,Germany,Male,35,4,136496.12,2,1,0,116672.02,0
2015,15679024,Udinesi,553,France,Male,32,3,116324.53,1,1,0,77304.49,0
2016,15715297,Yuan,779,Germany,Female,40,2,75470.23,1,1,1,52894.01,0
2017,15633612,Yuryeva,696,France,Male,28,4,172646.82,1,1,1,116471.43,0
2018,15602929,Wilson,728,Spain,Female,37,4,0,1,0,0,4539.38,0
2019,15696703,Dean,691,Germany,Male,27,3,160358.68,2,1,0,142367.72,0
2020,15756668,Ross,706,France,Male,30,3,98415.37,1,1,1,110520.48,0
2021,15565779,Kent,627,Germany,Female,30,6,57809.32,1,1,0,188258.49,0
2022,15795519,Vasiliev,716,Germany,Female,18,3,128743.8,1,0,0,197322.13,0
2023,15761477,Golibe,501,Germany,Male,24,4,130806.42,2,1,0,80241.14,0
2024,15731890,Chukwukere,601,France,Male,41,1,123971.16,1,0,1,172814.99,0
2025,15633043,Fedorova,545,Spain,Female,39,6,0,1,0,0,38410.74,1
2026,15752953,Chien,634,France,Male,45,9,0,2,0,0,17622.82,0
2027,15603088,Rossi,451,Spain,Female,23,9,0,2,0,1,48021.71,0
2028,15606613,Samson,655,France,Female,59,7,0,1,1,0,88958.49,1
2029,15635939,Fenton,458,France,Female,39,9,0,2,1,0,116343.09,0
2030,15666043,Mackey,520,France,Male,33,4,156297.58,2,1,1,166102.61,0
2031,15746190,Payton,624,Spain,Female,28,2,0,2,0,1,104353.26,0
2032,15591357,Cowger,765,France,Male,51,3,123372.3,1,1,1,115429.32,0
2033,15658716,Banks,667,Germany,Female,37,5,92171.35,3,1,0,178106.34,1
2034,15679909,Pugliesi,665,Spain,Male,41,8,0,2,1,0,132152.32,0
2035,15634262,Fantin,709,Germany,Male,34,4,148375.19,2,1,1,21521.38,0
2036,15799825,Bentley,583,France,Female,44,8,0,2,1,1,27431.62,0
2037,15756875,Freeman,782,Spain,Male,34,6,147422.44,1,0,1,42143.61,0
2038,15678146,Wong,668,Spain,Female,24,7,173962.32,1,0,0,106457.11,1
2039,15710743,Onwuamaeze,621,France,Male,47,0,0,1,1,1,133831.37,1
2040,15595831,Shen,579,Germany,Female,64,6,145215.43,1,1,1,164083.72,0
2041,15626684,Huang,547,France,Female,38,5,167539.97,1,0,1,159207.34,0
2042,15709846,Yeh,840,France,Female,39,1,94968.97,1,1,0,84487.62,0
2043,15635459,Shih,667,Germany,Female,27,3,106116.5,2,1,0,3674.71,0
2044,15642544,Henderson,723,France,Male,34,5,0,2,0,1,12092.03,0
2045,15566494,Fang,487,France,Male,45,2,0,2,1,0,77475.73,0
2046,15655238,Dellucci,668,France,Female,31,9,0,2,0,0,41291.73,0
2047,15733429,Chou,520,Germany,Male,34,8,120018.86,2,1,1,343.38,0
2048,15814536,Conti,549,France,Male,37,2,112541.54,2,0,0,47432.43,0
2049,15771702,Roberts,567,France,Female,35,5,166118.45,2,1,0,127827.18,0
2050,15723008,Lo Duca,720,France,Female,45,1,102882.4,2,1,1,35633.15,1
2051,15797160,Glover,492,France,Female,49,8,0,1,1,1,182865.09,1
2052,15792222,Johnstone,712,France,Female,37,1,106881.5,2,0,0,169386.81,0
2053,15644765,Ashton,689,Germany,Male,26,4,120727.97,1,0,1,149073.88,0
2054,15610686,Melton,850,France,Male,63,8,169832.57,1,0,0,184107.26,1
2055,15730868,Marshall,747,France,Male,41,5,0,2,1,1,22750.17,0
2056,15705991,Kenenna,469,Germany,Male,38,9,113599.42,1,0,0,11950.29,0
2057,15577078,Zakharov,539,Spain,Male,38,6,0,1,1,1,152880.07,1
2058,15679550,Chukwualuka,743,France,Male,32,9,0,2,1,0,175252.78,0
2059,15787655,Chu,707,France,Male,47,3,0,2,1,0,174303.29,0
2060,15668081,Capon,581,Spain,Female,50,4,0,2,1,1,80701.72,0
2061,15747980,Cattaneo,737,Spain,Male,38,6,146282.79,2,1,0,198516.2,0
2062,15710295,Patrick,445,Germany,Female,38,6,119413.62,2,1,0,175756.36,0
2063,15724443,Taylor,703,Germany,Female,29,3,122084.63,1,0,1,82824.08,0
2064,15571305,Stephenson,588,Germany,Female,35,1,103060.63,1,1,0,179866.01,1
2065,15569503,Yeh,765,France,Male,44,6,0,2,1,1,159899.97,0
2066,15581840,DeRose,626,France,Male,33,8,0,2,1,0,138504.28,0
2067,15772262,Vavilov,545,Germany,Male,37,9,110483.86,1,1,1,127394.67,0
2068,15767794,Browne,744,France,Male,31,9,120718.28,1,1,1,58961.49,0
2069,15629338,Collingridge de Tourcey,658,Spain,Female,31,2,36566.96,1,1,0,103644.98,1
2070,15790379,Rowe,629,Germany,Male,28,8,108601,1,1,1,119647.7,0
2071,15750684,Jibunoh,719,France,Female,42,4,0,1,1,0,28465.86,1
2072,15697214,Korovin,686,Spain,Female,36,5,0,2,1,1,152979.14,0
2073,15711015,Hammonds,743,France,Male,36,4,0,2,1,1,190911.02,0
2074,15573309,Ward,626,Spain,Female,48,2,0,2,1,1,95794.98,0
2075,15805303,Olisanugo,661,Germany,Male,44,1,141136.62,1,1,0,189742.78,1
2076,15741385,Gallop,710,Germany,Male,45,9,108231.37,1,1,1,188574.08,0
2077,15780254,Gartrell,654,France,Male,40,6,0,1,0,0,183872.88,1
2078,15744843,K'ung,569,Spain,Female,34,6,144855.34,1,0,0,196555.32,0
2079,15815626,Oluchi,640,France,Male,63,2,68432.45,2,1,1,112503.24,1
2080,15784736,Jamieson,562,France,Male,45,6,136855.24,1,1,0,46864,0
2081,15813412,Barlow,721,France,Female,55,3,44020.89,1,1,0,65864.4,1
2082,15809143,White,456,Germany,Male,32,9,133060.63,1,1,1,125167.92,0
2083,15617617,Stewart,811,Spain,Male,39,7,0,2,1,1,177519.39,0
2084,15779738,Buccho,534,France,Male,24,1,0,1,1,1,169653.32,0
2085,15668669,Benson,423,France,Female,36,5,97665.61,1,1,0,118372.55,1
2086,15687477,Thompson,594,Germany,Male,28,5,185013.02,1,1,0,16481.12,0
2087,15578908,Todd,725,Spain,Female,32,0,0,2,1,1,138525.19,0
2088,15687658,Burgin,716,France,Female,52,7,65971.61,2,1,0,14608,1
2089,15615020,Nnaife,595,Germany,Female,41,9,150463.11,2,0,1,81548.38,0
2090,15608886,Okwudiliolisa,679,France,Female,33,1,0,2,0,0,69608.48,0
2091,15602551,Johnson,667,Spain,Male,39,9,0,2,1,0,68873.8,0
2092,15672945,Parkes,661,France,Female,37,5,136425.18,1,1,0,81102.81,0
2093,15757408,Lo,655,Spain,Male,38,3,250898.09,3,0,1,81054,1
2094,15806132,Martin,555,France,Male,55,4,146798.81,1,1,1,74149.77,0
2095,15813022,Kapustina,531,Spain,Male,70,1,0,2,0,0,99503.19,0
2096,15673578,Page,611,Germany,Female,40,7,128486.91,2,1,0,10109.47,0
2097,15757916,Amaechi,600,France,Female,38,9,0,2,1,1,58855.85,0
2098,15689168,Munro,531,Spain,Male,37,1,143407.29,2,0,1,84402.46,0
2099,15769216,Panicucci,601,France,Female,43,2,0,1,1,0,49713.87,1
2100,15593295,Greathouse,548,France,Male,57,6,76165.65,1,1,1,133537.53,0
2101,15804814,Ts'ui,759,France,Male,40,4,0,2,1,0,124615.59,0
2102,15778934,Napolitani,678,Spain,Female,49,8,0,2,0,1,98090.69,0
2103,15802351,Beers,755,Germany,Female,33,6,90560.3,2,1,1,42607.69,0
2104,15630241,Tretyakova,594,France,Male,61,3,62391.22,1,1,1,192434.11,0
2105,15719561,Lin,768,France,Male,42,5,0,3,0,0,60686.4,0
2106,15615096,Costa,492,France,Female,31,7,0,2,1,1,49463.44,0
2107,15659931,Ibezimako,637,Germany,Female,55,1,123378.2,1,1,0,81431.99,1
2108,15714586,Marcelo,646,Spain,Female,42,3,99836.47,1,0,1,22909.56,0
2109,15634949,Hay,593,Germany,Male,74,5,161434.36,2,1,1,65532.17,0
2110,15589224,Moore,596,Spain,Male,41,5,0,2,0,1,141053.85,0
2111,15795990,Lumholtz,722,Germany,Female,48,10,138311.76,1,1,1,3472.63,1
2112,15603216,Simpson,642,France,Male,25,7,0,2,1,0,102083.78,0
2113,15631201,Hill,472,Spain,Female,28,4,0,2,1,0,1801.77,0
2114,15686255,Mouzon,738,Germany,Male,35,6,101744.84,1,0,0,85185.44,0
2115,15746594,Wu,732,Spain,Male,33,8,0,1,1,0,119882.7,0
2116,15718893,Pirozzi,404,Germany,Female,54,4,125456.07,1,1,0,83715.66,1
2117,15671609,Ibeabuchi,701,France,Male,44,7,0,2,1,0,23425.78,0
2118,15652540,Garnsey,683,France,Male,31,2,0,2,0,1,77326.78,0
2119,15774857,Synnot,460,France,Female,27,7,0,2,1,0,156150.08,1
2120,15791836,Wildman,690,France,Male,29,5,0,2,1,0,108577.97,0
2121,15651554,Anenechukwu,618,Germany,Female,54,4,118449.21,1,1,1,133573.29,1
2122,15583576,Tai,671,France,Male,30,2,0,1,0,1,102057.86,0
2123,15732740,Plant,765,Spain,Female,32,9,178095.55,1,0,0,47247.56,0
2124,15723320,Azubuike,651,Germany,Female,25,2,109175.14,2,1,0,114566.47,0
2125,15603851,Galkin,704,France,Male,32,7,127785.17,4,0,0,184464.7,1
2126,15777923,Johnston,544,France,Female,45,6,0,2,0,1,151401.33,0
2127,15735719,Babbage,790,France,Female,40,9,0,2,1,1,70607.1,0
2128,15703482,Walker,710,Germany,Male,34,9,134260.36,2,1,0,147074.67,0
2129,15605835,Rice,743,France,Male,37,8,69143.91,2,0,1,105780.18,0
2130,15664881,Norton,702,France,Male,34,4,100054.77,1,1,0,109496.45,0
2131,15757568,Bogolyubov,704,France,Female,45,6,0,1,1,1,137739.45,0
2132,15792660,Gibbons,614,France,Male,38,2,116248.88,1,1,0,105140.92,0
2133,15599722,Chia,609,Spain,Female,43,6,86053.52,2,1,1,113276.46,1
2134,15726354,Smith,688,France,Female,32,6,123157.95,1,1,0,172531.23,0
2135,15610355,Hunter,713,France,Male,44,1,63438.91,1,1,0,64375.4,0
2136,15704284,Ekechukwu,736,Germany,Male,57,9,95295.39,1,1,0,28434.44,1
2137,15621893,Bellucci,727,France,Male,18,4,133550.67,1,1,1,46941.41,0
2138,15588219,Ford,850,France,Female,38,1,106871.81,2,1,0,29333.01,0
2139,15688619,Scott,718,Spain,Male,45,3,105266.32,2,1,1,193724.51,0
2140,15765518,Gregson,643,France,Female,51,2,105229.53,1,1,0,34967.75,1
2141,15616931,Moore,653,France,Male,41,8,102768.42,1,1,0,55663.85,0
2142,15758372,Wallace,674,France,Male,18,7,0,2,1,1,55753.12,1
2143,15782591,Cook,690,France,Male,35,6,112689.95,1,1,0,176962.31,0
2144,15612109,Speth,819,France,Male,38,9,122334.26,2,1,1,181507.44,0
2145,15613712,Boag,634,Spain,Male,34,1,0,2,1,0,61995.57,0
2146,15639322,Grave,633,Spain,Male,33,4,137847.41,2,1,0,98349.13,0
2147,15594349,Streeten,850,France,Male,49,5,122486.47,1,0,1,59748.19,0
2148,15574167,Fox,665,France,Male,33,2,101286.11,1,1,1,159840.51,0
2149,15811842,Artemyeva,630,Spain,Male,26,7,0,2,1,1,6656.64,0
2150,15648794,Giordano,836,Spain,Male,57,4,101247.06,1,1,0,37141.62,1
2151,15771211,Perkins,668,France,Male,38,10,86977.96,1,0,1,37094.75,0
2152,15588614,Walton,753,France,Male,57,7,0,1,1,0,159475.08,1
2153,15630698,Hay,745,France,Female,55,9,110123.59,1,0,1,51548.14,1
2154,15694200,Gardner,693,France,Male,36,8,178111.82,1,0,0,58719.63,1
2155,15721426,Milne,606,Germany,Male,65,10,126306.64,3,0,0,7861.68,1
2156,15725997,She,660,France,Female,35,6,100768.77,1,1,0,19199.61,0
2157,15762138,Hu,608,France,Male,42,5,0,2,1,0,178504.29,0
2158,15750649,Uwakwe,744,France,Female,44,3,0,2,1,1,189016.14,0
2159,15685706,Bird,731,France,Female,40,7,118991.79,1,1,1,156048.64,0
2160,15641835,Anderson,683,France,Male,72,3,140997.26,1,0,1,52876.41,0
2161,15586821,Bellew,727,France,Male,28,5,0,2,0,1,19653.08,0
2162,15569678,Cocci,561,Germany,Male,32,6,166824.59,1,1,0,139451.98,0
2163,15793842,Krichauff,700,France,Female,34,2,76322.69,1,1,0,128136.29,0
2164,15667554,Cameron,605,France,Male,35,6,0,2,1,1,45206.57,0
2165,15794479,Becker,767,Spain,Male,77,8,149083.7,1,1,1,190146.83,0
2166,15585041,Ainsworth,511,France,Male,33,7,0,2,0,1,158313.87,0
2167,15780650,Biryukov,667,France,Male,40,9,0,1,1,1,96670.2,0
2168,15780846,Redding,787,France,Male,33,1,126588.81,2,0,1,62163.53,0
2169,15805260,Wood,705,Germany,Female,56,2,143249.67,1,1,0,88428.41,1
2170,15621629,Scott,773,Germany,Male,43,8,81844.91,2,1,1,35908.46,0
2171,15662151,Gould,554,France,Male,40,4,0,1,0,1,168780.04,0
2172,15747174,Hao,526,Germany,Male,58,9,190298.89,2,1,1,191263.76,0
2173,15651585,Power,661,Germany,Male,35,2,117212.18,1,1,1,83052.03,0
2174,15649738,White,698,France,Female,46,0,0,2,1,1,125962.02,0
2175,15633108,Thorpe,646,France,Male,26,4,139848.17,1,1,0,164696.27,0
2176,15769254,Tuan,757,Germany,Female,34,9,101861.36,2,0,0,187011.96,0
2177,15704746,Inman,699,Spain,Male,35,2,167455.66,2,1,1,55324.49,0
2178,15637644,Hanson,667,France,Female,24,4,0,2,0,1,34335.55,0
2179,15609562,MacDonald,774,Spain,Female,43,1,116360.07,1,1,0,17004.14,0
2180,15787459,Parkes,745,Spain,Male,40,3,88466.82,1,0,0,116331.42,0
2181,15762902,Stanley,649,France,Female,42,7,0,2,0,1,22974.01,0
2182,15738605,Fischer,634,Germany,Female,46,5,123642.36,1,1,1,49725.16,1
2183,15724889,Chinweuba,665,Spain,Male,38,9,0,1,0,1,87412.74,0
2184,15730735,Henning,713,France,Male,38,9,72286.84,2,1,1,26136.89,0
2185,15689147,Ogochukwu,652,France,Female,40,1,0,2,1,0,126554.96,0
2186,15730397,Narelle,739,Spain,Male,40,1,109681.61,1,1,1,193321.3,0
2187,15762169,Bergman,556,Germany,Male,37,9,145018.64,2,1,0,90928.02,1
2188,15589320,Sagese,699,Spain,Male,34,8,0,1,1,1,76510.46,0
2189,15799211,Anenechi,708,Spain,Female,32,8,187487.63,1,1,1,120115.5,0
2190,15798310,Palerma,480,France,Male,35,2,165692.91,1,1,1,197984.58,0
2191,15609998,Okwudilichukwu,700,Germany,Female,59,5,137648.41,1,1,0,142977.05,1
2192,15583548,Harrison,525,Spain,Female,47,6,118560,1,1,0,82522.61,1
2193,15761763,Jamieson,845,France,Male,33,8,164385.53,1,1,0,150664.97,0
2194,15764409,Goodman,613,France,Male,37,9,108286.5,1,1,1,114153.44,0
2195,15710161,Ko,850,France,Female,34,2,0,2,1,1,171706.66,0
2196,15735246,Norman,798,Spain,Female,58,9,0,2,0,0,119071.56,1
2197,15791700,Ugochukwutubelum,773,Germany,Male,47,2,118079.47,4,1,1,143007.49,1
2198,15670753,Uvarova,614,Spain,Male,35,2,127283.78,1,1,1,31302.35,0
2199,15573876,Chia,473,Spain,Male,48,8,0,2,1,0,71139.8,0
2200,15770174,Piazza,762,France,Male,29,6,141389.06,1,1,0,54122.89,0
2201,15641114,Power,701,France,Male,37,8,130091.5,1,1,1,120031.29,0
2202,15682435,P'eng,600,France,Male,35,4,143744.77,2,1,0,104076.51,0
2203,15751788,Johnson,850,Spain,Male,28,9,97408.03,1,1,1,175853.64,0
2204,15672598,Walker,613,Spain,Male,30,9,111927.45,1,1,1,175795.87,0
2205,15762803,Innes,509,France,Male,31,3,0,2,1,0,15360.91,0
2206,15812982,Francis,509,Spain,Male,38,2,0,1,0,0,168460.12,0
2207,15597901,Chidozie,609,France,Male,34,1,0,1,1,1,181177.9,0
2208,15731507,Mackenzie,456,France,Female,33,1,188285.68,1,0,0,58363.94,0
2209,15809826,Craigie,728,France,Female,46,2,109705.52,1,1,0,20276.87,1
2210,15764237,Manfrin,663,Spain,Male,33,9,0,2,0,0,91514.62,0
2211,15769917,Onyekachi,673,Germany,Female,34,1,127122.79,3,0,1,76703.1,0
2212,15641850,Pethard,717,France,Male,40,0,98241.04,1,1,0,110887.14,0
2213,15770974,Nwabugwu,741,Germany,Female,37,8,170840.08,2,0,0,109843.16,0
2214,15803749,DeRose,498,Germany,Female,41,4,87541.06,2,1,1,12577.21,1
2215,15684999,Ch'eng,850,France,Female,26,4,62610.96,2,0,1,179365.1,0
2216,15770225,Padovesi,493,France,Male,36,9,0,2,1,1,65816.53,0
2217,15627484,Obielumani,686,France,Female,47,5,113328.93,1,1,0,124170.9,0
2218,15610337,Stephens,666,Spain,Male,35,2,104832.49,1,1,0,175015.12,0
2219,15752488,Emery,733,Spain,Female,31,9,102289.85,1,1,1,115441.66,0
2220,15610056,Dufresne,631,Germany,Female,34,6,125227.82,2,0,1,128247.03,0
2221,15806049,Lee,714,Germany,Female,49,5,140510.89,1,1,0,141914.94,0
2222,15736069,Hsing,767,Germany,Female,35,6,132253.22,1,1,0,115566.57,1
2223,15763662,Longo,711,Germany,Male,43,2,39043.29,2,1,1,175423.69,0
2224,15615575,Vial,722,France,Male,34,8,0,2,1,1,133447.49,0
2225,15691723,Chukwudi,631,Spain,Male,55,9,99685.06,1,1,0,114474.98,0
2226,15774098,Grant,701,Germany,Male,38,3,125385.49,2,0,1,52044.66,0
2227,15750808,Ma,790,Spain,Male,46,2,131365.37,2,1,1,180290.68,0
2228,15744368,Sun,633,Spain,Male,58,6,98308.51,1,1,1,132034.13,0
2229,15610594,Moss,644,France,Female,37,8,0,2,1,0,20968.88,0
2230,15756125,Booth,757,Spain,Male,44,5,140856.16,2,1,0,158735.1,0
2231,15623277,Ross,696,France,Female,30,8,0,2,1,1,196134.44,0
2232,15795954,Ndukaku,746,France,Male,35,2,172274.01,1,1,0,22374.97,0
2233,15671969,Pruneda,649,Spain,Male,36,8,0,2,1,0,161668.15,0
2234,15791268,Neumann,565,Spain,Male,38,0,122447.76,1,0,0,67339.34,0
2235,15713655,Calabrese,720,France,Female,38,10,0,2,1,1,56229.72,1
2236,15633930,Yobachukwu,648,Spain,Female,56,6,157559.59,2,1,0,140991.23,1
2237,15712849,Tung,632,Germany,Male,41,3,126550.7,1,0,0,177644.52,1
2238,15639077,Marchesi,622,France,Female,30,2,158584.82,3,1,0,142342.55,1
2239,15808784,Hess,835,France,Male,28,2,163569.61,2,1,1,154559.28,0
2240,15648577,Pickering,493,France,Female,31,3,0,1,1,1,176570.28,1
2241,15670345,Mazzi,785,Germany,Female,33,6,127211.45,1,0,0,191961.83,0
2242,15633112,Madukaego,681,Germany,Male,42,3,118199.97,2,1,0,9452.88,1
2243,15714397,Trentino,621,Germany,Female,30,2,101014.08,2,1,1,165257.31,0
2244,15780038,Paterson,756,Spain,Male,38,6,119208.85,1,1,0,169763.89,1
2245,15756305,Marchesi,515,France,Female,66,6,0,2,1,1,160663.11,0
2246,15578799,Anayolisa,625,France,Female,58,10,53772.73,1,1,1,192072.1,1
2247,15800326,Poole,717,Spain,Female,39,6,0,2,1,0,93275.61,0
2248,15785485,Zhou,595,Germany,Female,41,2,138878.81,1,0,1,112269.67,0
2249,15783958,Bates,539,Spain,Female,37,1,130922.81,2,0,0,2186.83,0
2250,15727546,Olejuru,762,France,Male,35,9,0,2,1,1,43075.7,0
2251,15739576,Bustard,706,Spain,Male,20,8,0,2,1,1,12368.11,0
2252,15631333,Wade,677,Spain,Female,25,8,130866.19,1,1,0,42410.21,0
2253,15604782,Tan,733,Germany,Female,33,7,187257.94,1,0,1,190430.81,0
2254,15589643,Ngozichukwuka,684,Spain,Female,41,7,0,1,1,1,138394.37,0
2255,15585533,Calabrese,679,France,Male,36,6,147733.64,1,0,1,172501.38,0
2256,15681506,Lane,478,Spain,Male,43,1,0,2,1,1,197916.43,0
2257,15630551,Forbes,696,France,Male,33,2,163139.27,1,1,1,7035.36,0
2258,15698349,Davy,686,Spain,Female,35,4,0,2,1,1,159676.55,0
2259,15776631,Ma,466,France,Female,36,5,119540.15,1,0,1,80603.99,0
2260,15762216,Barrera,686,France,Female,41,4,129553.76,2,1,0,187599.8,0
2261,15623927,Alexander,576,France,Male,55,9,0,2,1,1,94450.97,0
2262,15681402,Ngozichukwuka,763,Germany,Female,61,1,66101.89,1,1,1,143981.27,0
2263,15586264,Murray,572,France,Male,43,2,140431.98,1,1,0,26450.57,1
2264,15594685,Hall,757,France,Female,49,2,0,2,0,0,164482.92,0
2265,15812945,Padovesi,582,France,Female,29,0,0,1,1,1,84012.81,0
2266,15734628,Lysaght,623,France,Female,35,5,0,2,1,0,101192.08,0
2267,15629323,Kelechi,617,Germany,Female,37,4,116471.43,2,1,0,175324.74,1
2268,15666823,Nebechi,425,France,Male,39,4,0,2,1,0,197226.32,0
2269,15777553,Hanson,659,France,Female,56,9,123785.24,1,1,0,99504.03,1
2270,15613097,Kao,605,France,Female,33,4,0,2,0,1,83700.66,0
2271,15622217,Tu,538,France,Female,38,8,88758.95,2,0,0,28226.15,1
2272,15703588,Palerma,665,Germany,Male,25,5,153611.83,2,1,0,35321.65,0
2273,15570835,Fallaci,491,Germany,Female,57,4,112044.72,1,1,1,41229.73,1
2274,15679299,Shen,726,Spain,Female,27,7,123826.07,1,0,1,78970.58,0
2275,15808044,Ts'ui,580,France,Female,65,9,106804.26,3,1,0,107890.69,1
2276,15579208,Chikezie,550,France,Female,48,6,0,2,1,1,191870.28,0
2277,15684951,He,542,France,Female,59,2,68892.77,2,1,0,7905.06,1
2278,15667620,Dreyer,732,France,Female,43,6,0,2,1,0,65731.53,0
2279,15582960,Short,473,France,Female,33,5,125827.43,1,0,1,145698.73,0
2280,15590730,Hunt,745,Spain,Male,34,9,0,2,1,0,50046.25,0
2281,15763747,Ricci,732,France,Male,36,7,0,2,1,1,60830.24,0
2282,15778320,Teng,848,Germany,Female,40,5,148495.64,1,0,0,158853.98,0
2283,15642787,Ijendu,572,France,Male,37,1,133043.66,1,0,0,111243.09,0
2284,15624633,Kibby,702,France,Male,45,9,74989.58,1,1,1,171014.69,0
2285,15766765,Obiuto,664,Germany,Male,39,7,60263.23,1,1,0,170835.32,0
2286,15783615,Ramos,630,Germany,Male,50,3,129370.91,4,1,1,47775.34,1
2287,15640161,Calabrese,618,Germany,Male,44,5,157955.83,2,0,0,139297.71,0
2288,15619889,Vasin,556,France,Male,26,4,0,1,1,0,195167.38,0
2289,15579166,Munro,619,France,Female,30,7,70729.17,1,1,1,160948.87,0
2290,15789097,Keeley,644,France,Male,48,8,0,2,0,1,44965.54,1
2291,15674880,Archer,658,Spain,Male,50,2,0,2,1,0,52137.73,0
2292,15778157,Murray,598,Spain,Male,27,8,90721.52,2,1,0,109296.18,0
2293,15779064,Chidiegwu,677,France,Male,27,2,0,2,1,1,20092.89,0
2294,15801265,Tang,689,Spain,Female,45,0,57784.22,1,1,0,197804,1
2295,15589204,Farrar,591,France,Male,33,9,131765.72,1,1,0,118782.06,0
2296,15664543,Shaw,699,France,Male,40,7,0,1,0,1,152876.13,1
2297,15582714,Napolitani,749,Germany,Male,47,9,110022.74,1,0,1,135655.29,1
2298,15797595,Greenhalgh,709,France,Female,40,9,131569.63,1,1,1,103970.58,0
2299,15614034,Martin,607,Germany,Male,61,2,164523.5,2,1,1,35786.76,0
2300,15763171,Hu,650,Germany,Female,25,2,114330.95,1,1,1,25325.07,0
2301,15647266,Y?an,651,Spain,Female,45,10,135923.16,1,1,0,18732.84,0
2302,15757577,Odili,676,France,Female,61,8,0,2,1,1,118522.73,0
2303,15736656,H?,723,France,Female,49,4,0,2,0,1,89972.25,0
2304,15635078,Chiemela,714,Spain,Male,45,0,124693.48,1,0,1,187194.15,0
2305,15680141,Yuan,759,Spain,Female,35,7,147936.42,1,1,1,106785.7,0
2306,15576945,Clements,582,France,Male,29,0,0,1,1,0,142516.35,0
2307,15602034,Kolesnikov,697,France,Female,34,2,126558.92,1,1,0,73334.43,0
2308,15732020,Rutherford,610,Germany,Male,57,6,106938.11,2,0,1,186612.47,0
2309,15611029,Hsiung,488,Germany,Female,33,4,140002.35,1,1,0,123613.81,0
2310,15621210,Angelo,599,Germany,Male,46,9,123444.72,1,1,1,31368.08,1
2311,15569222,Mendes,781,France,Male,32,6,147107.91,1,1,1,40066.95,0
2312,15664639,McGregor,645,France,Male,19,9,128514.84,1,0,0,175969.19,0
2313,15724223,Bronner,545,France,Female,55,5,0,1,0,0,10034.77,1
2314,15644621,Mironova,597,Germany,Female,40,9,106756.01,2,1,0,151167.94,0
2315,15756056,Ku,561,Spain,Female,28,3,0,2,1,0,191387.76,0
2316,15700353,Evans,662,France,Female,37,6,0,2,1,0,51229.17,0
2317,15624388,Henderson,649,Germany,Female,50,5,155393.32,1,1,1,87351.42,1
2318,15627212,Smith,630,France,Female,36,2,110414.48,1,1,1,48984.95,0
2319,15648005,Russell,672,Spain,Male,33,2,0,2,1,1,182738,0
2320,15681446,Sun,636,Germany,Female,37,9,157098.52,1,1,1,153535.27,0
2321,15775888,McDonald,593,Germany,Female,38,5,85626.6,1,1,1,125079.65,0
2322,15749019,Wong,545,Germany,Male,45,6,93796.42,2,1,1,162321.26,0
2323,15709928,Niu,567,Spain,Female,41,1,0,2,1,0,3414.72,0
2324,15784676,Fanucci,583,France,Male,51,6,125268.03,2,1,0,165082.25,0
2325,15748116,Zetticci,681,France,Female,29,2,148143.84,1,1,1,52021.39,0
2326,15612193,Hsia,762,Spain,Male,29,10,115545.33,2,1,0,148256.43,0
2327,15762984,McIntosh,648,Spain,Male,35,7,0,2,0,0,122899.01,0
2328,15613713,Kozlova,644,France,Male,30,5,44928.88,1,1,1,10771.46,0
2329,15664204,Meany,706,Spain,Male,29,2,0,2,1,1,18255.51,0
2330,15639415,Thompson,850,France,Male,35,3,162442.35,1,1,0,183566.78,0
2331,15806332,Le Gallienne,484,Spain,Female,39,5,0,2,1,1,175224.12,0
2332,15614929,Cheng,508,Germany,Male,28,0,96213.82,2,1,0,147913.56,0
2333,15695492,P'eng,439,France,Female,29,6,156569.43,1,1,0,180598.66,0
2334,15635972,Lloyd,484,Spain,Male,36,8,0,2,1,0,186136.48,0
2335,15616380,Wheeler,803,Spain,Female,37,1,0,2,0,0,7455.2,0
2336,15581440,Christie,724,Germany,Female,48,6,110463.25,2,1,1,80552.11,1
2337,15654390,He,640,France,Male,33,7,154575.76,1,1,0,25722.28,1
2338,15660688,King,701,Spain,Female,35,9,0,2,0,0,170996.86,0
2339,15806307,Favors,537,France,Male,37,3,0,2,1,1,20603.32,0
2340,15647975,Vida,651,Germany,Male,26,5,147037.32,1,0,0,141763.26,0
2341,15595728,Thomas,523,Germany,Male,41,0,119276.31,1,0,0,122284.38,1
2342,15735388,Wayn,717,France,Female,25,7,108664.85,2,1,0,190011.85,0
2343,15788535,Tan,593,Spain,Male,44,5,0,1,1,0,128046.98,0
2344,15765902,Gibson,706,Germany,Male,38,5,163034.82,2,1,1,135662.17,0
2345,15642345,Y?,714,Germany,Female,49,4,93059.34,1,1,0,7571.51,1
2346,15641250,Calabresi,794,Spain,Male,38,9,179581.31,1,1,0,23596.24,0
2347,15706163,Enyinnaya,518,Germany,Male,46,4,113625.93,1,0,0,92727.42,1
2348,15746708,Ritchie,589,Germany,Male,55,7,119961.48,1,1,0,65156.83,1
2349,15775203,Chia,824,France,Male,45,3,129209.48,1,0,0,60151.77,0
2350,15787907,Wang,719,Germany,Female,42,5,137227.04,3,1,0,149097.38,1
2351,15646764,Lorenzo,617,Germany,Female,58,3,119024.75,2,1,0,35199.24,1
2352,15678284,Pai,651,France,Male,35,7,74623.5,3,1,0,129451.29,1
2353,15726791,Nuttall,637,Spain,Female,45,2,157929.45,1,1,1,145134.49,1
2354,15813144,Osborne,554,France,Female,26,7,92606.86,2,1,0,192709.69,0
2355,15669342,Ferri,731,Germany,Male,35,2,127862.93,2,1,0,139083.7,0
2356,15710366,Hamilton,569,Spain,Female,42,1,0,1,1,1,83629.6,1
2357,15614934,McEwan,625,Germany,Female,37,4,142711.81,1,1,0,35625.41,0
2358,15588701,Lai,592,France,Female,38,4,0,2,1,0,35338.96,0
2359,15665438,Hs?,669,France,Male,43,1,163159.85,1,0,1,15602.8,0
2360,15644896,Thompson,663,Germany,Male,32,3,108586.86,1,1,1,182355.21,0
2361,15670205,Boyd,518,Germany,Female,41,5,110624.99,1,1,0,89327.67,0
2362,15635776,Trevisani,686,Germany,Female,43,5,154846.24,2,1,1,151903.6,0
2363,15791053,Lucciano,709,Germany,Male,45,4,122917.71,1,1,1,11.58,1
2364,15644005,Holman,571,France,Female,33,9,0,2,0,1,77519.62,0
2365,15796343,Bazhenov,707,France,Female,31,2,82787.93,2,0,0,91423.69,0
2366,15751057,Douglas,701,Germany,Male,32,5,102500.34,1,0,0,106287.77,0
2367,15623430,Hill,672,France,Male,34,9,0,2,1,0,161800.77,0
2368,15682600,Lo,620,Germany,Male,39,9,159492.79,1,1,0,80582.34,1
2369,15769312,Forbes,557,Spain,Male,48,10,0,2,1,1,185094.48,0
2370,15708212,Lin,648,Spain,Female,54,7,118241.02,1,1,0,172586.89,1
2371,15650258,Sinclair,479,France,Female,35,2,113090.4,1,1,0,195649.79,0
2372,15604345,Kemp,730,France,Female,22,9,65763.57,1,1,1,145792.01,0
2373,15578297,Ebelegbulam,737,Germany,Female,43,1,125537.38,1,1,0,138510.01,1
2374,15671789,Woods,616,France,Male,31,3,94263.91,2,1,0,168895.06,0
2375,15726186,Genovese,639,Spain,Male,29,4,133434.57,2,1,0,97983.44,0
2376,15764618,Tseng,815,Spain,Female,39,6,0,1,1,1,85167.88,0
2377,15730738,Chiang,786,Spain,Male,31,9,0,2,1,1,18210.36,0
2378,15637650,Williams,549,France,Male,50,9,94748.76,2,0,1,13608.18,0
2379,15606267,Wilson,622,France,Female,38,4,98640.74,1,1,1,110457.99,0
2380,15625904,Wang,624,France,Male,26,9,74681.9,2,0,0,31231.35,0
2381,15654463,Moore,841,France,Male,34,4,0,2,1,0,141582.66,0
2382,15774151,Iadanza,614,Spain,Female,41,7,179915.85,1,0,0,14666.35,1
2383,15693259,Wallace,676,France,Male,30,1,128207.23,1,1,1,55400.17,0
2384,15642468,Clark,697,France,Male,42,9,132739.26,2,0,0,174667.65,0
2385,15758531,Y?,732,France,Female,40,10,0,2,1,0,154189.08,0
2386,15728352,Yermakov,623,France,Male,27,4,120509.81,1,0,0,142170.44,0
2387,15637240,Wei,541,France,Male,46,4,124547.13,2,1,0,94499.06,0
2388,15595588,Chukwunonso,773,Spain,Female,39,4,0,2,0,1,182081.45,0
2389,15778395,McIntyre,762,Germany,Male,34,4,88815.56,2,1,0,68562.26,1
2390,15711825,Ts'ai,655,Spain,Female,35,1,82231.51,2,1,0,88798.02,0
2391,15599251,Chung,602,Germany,Male,32,7,184715.86,2,1,0,113781.99,0
2392,15570004,Tsou,850,France,Male,31,3,0,2,1,0,121866.87,0
2393,15656912,Aitken,649,Spain,Male,51,4,0,1,1,1,150390.57,0
2394,15657342,Dawson,850,Germany,Male,28,4,147972.19,1,1,0,60708.72,1
2395,15716284,Ward,543,France,Male,43,9,0,2,1,1,78858.07,0
2396,15672374,Pai,672,France,Male,52,8,170008.84,1,0,0,56407.42,1
2397,15732476,Ifeanyichukwu,600,France,Female,27,3,0,2,0,1,125698.97,0
2398,15747724,Briggs,671,Spain,Female,34,10,0,1,1,0,23235.38,0
2399,15633877,Morrison,706,Spain,Female,42,8,95386.82,1,1,1,75732.25,0
2400,15672516,Wall,541,Germany,Male,51,7,90373.28,2,1,0,179861.79,0
2401,15607827,Nebechukwu,711,Germany,Male,34,4,133467.77,2,1,1,42976.64,0
2402,15751336,Yao,630,Spain,Male,30,3,0,2,0,1,10486.69,0
2403,15646539,Liao,531,France,Male,31,3,96288.26,1,1,0,56794.73,0
2404,15756901,Ch'ang,641,France,Female,26,4,91547.84,2,0,1,28157.34,0
2405,15809286,Burke,631,Germany,Male,37,8,138292.64,2,0,0,152422.91,1
2406,15759021,Kay,685,France,Male,35,9,0,1,1,0,167033.83,0
2407,15725039,McIntyre,702,Spain,Male,32,8,71667.74,1,1,1,126082.18,0
2408,15579130,Chidiegwu,708,Germany,Female,43,0,118994.84,1,1,0,181499.77,1
2409,15754112,Musgrove,653,Spain,Male,55,7,0,2,1,1,41967.03,0
2410,15735522,Boulger,654,Germany,Male,37,2,145610.07,2,0,0,186300.59,0
2411,15613326,Gow,596,France,Female,33,1,138162.81,1,1,0,85412.54,0
2412,15739502,Amaechi,549,Germany,Female,31,9,135020.21,2,1,1,23343.18,0
2413,15670914,Robe,754,France,Male,38,2,0,2,1,0,180698.32,0
2414,15604073,Bibi,815,Germany,Female,25,8,135161.67,1,1,1,136071.05,0
2415,15806027,Niu,556,France,Female,52,9,0,1,1,0,175149.2,1
2416,15574886,Palerma,706,France,Male,32,6,94486.47,1,1,1,146949.74,0
2417,15707120,Cocci,850,France,Male,46,9,117640.39,1,1,0,88920.68,0
2418,15800845,Artemieva,732,Spain,Female,33,8,111379.55,1,1,1,45098.62,0
2419,15603914,Arcuri,614,France,Male,40,6,0,1,1,1,20339.79,1
2420,15722765,Owen,580,Spain,Female,57,0,136820.99,1,0,1,108528.74,0
2421,15783305,Franklin,593,France,Female,46,7,98752.51,1,1,0,145560.38,0
2422,15574842,Lorenzo,653,Germany,Female,25,2,158266.42,3,1,1,199357.24,0
2423,15607837,Muriel,746,France,Female,29,4,105599.67,1,1,1,43106.17,0
2424,15714877,MacDevitt,662,France,Female,29,10,0,2,1,0,137508.31,0
2425,15782941,Chijindum,573,France,Male,31,2,0,2,1,1,91957.39,0
2426,15630167,Gibson,684,Spain,Female,39,4,139723.9,1,1,1,120612.11,0
2427,15759038,Whitehead,793,France,Female,41,3,141806.46,1,1,0,102921.17,0
2428,15661821,Johnstone,798,Germany,Female,49,5,132571.67,1,1,1,31686.33,1
2429,15728006,Endrizzi,524,France,Male,40,2,180516.9,1,1,0,180002.42,0
2430,15712176,Burke,816,France,Male,31,8,0,2,1,1,28407.4,0
2431,15689351,Johnson,742,Germany,Female,41,4,92805.72,1,0,1,73743.95,1
2432,15782247,Yeh,540,France,Male,22,4,0,3,1,1,186233.26,1
2433,15769064,Marshall,537,Germany,Male,39,3,135309.36,1,1,0,31728.86,1
2434,15718153,Kao,759,Spain,Female,74,6,128917.84,1,1,1,48244.64,0
2435,15613189,Browne,774,France,Female,52,2,56580.93,1,1,0,113266.28,1
2436,15661734,Taylor,608,Germany,Male,42,8,131390.75,2,1,0,71178.09,0
2437,15592645,Gibbons,704,Spain,Male,37,4,0,2,0,0,25684.93,0
2438,15768387,Nott,581,France,Male,41,8,0,2,0,0,29737.14,0
2439,15792525,Lei,628,Germany,Female,61,1,97361.66,1,1,1,149922.38,1
2440,15586976,Alexeeva,566,France,Female,42,6,0,1,1,0,180702.12,1
2441,15790659,Sheets,701,Spain,Male,59,7,0,2,0,1,27597.59,0
2442,15691446,Tokaryev,735,Spain,Male,29,10,0,2,1,1,95025.27,0
2443,15772632,Ts'ui,680,France,Female,34,1,0,2,1,0,167035.07,0
2444,15706587,Johnston,560,France,Male,57,0,0,2,0,1,116781.71,0
2445,15572461,Kung,663,Germany,Female,29,4,102714.65,2,0,0,21170.81,0
2446,15654409,Unwin,665,France,Female,34,5,67816.72,1,1,1,29641.58,0
2447,15568025,Hsueh,758,France,Male,51,8,81710.46,1,1,1,116520.07,0
2448,15715769,Hao,621,France,Male,26,2,75237.54,1,0,1,44220.4,0
2449,15667458,L?,764,Germany,Male,28,10,124023.18,1,1,0,166188.28,0
2450,15567980,Frater,537,Germany,Female,46,5,100727.5,1,0,1,140857.76,1
2451,15679294,Brennan,589,France,Female,46,10,107238.85,2,1,0,37024.28,0
2452,15606507,Pisani,555,France,Male,24,5,0,2,1,0,27513.47,0
2453,15578825,Golubev,734,France,Female,29,0,139994.66,1,1,0,17744.72,0
2454,15619935,Vanmeter,783,Spain,Female,59,9,126224.87,1,1,1,4423.63,0
2455,15636089,Hs?,678,Germany,Female,51,1,145751.03,1,0,0,109718.44,1
2456,15727490,Scott,661,France,Male,47,5,0,1,0,1,107243.31,1
2457,15591766,Crawford,607,Spain,Female,25,4,121166.89,1,0,1,115288.24,0
2458,15641629,P'eng,537,Spain,Female,38,1,0,2,0,1,41233.97,0
2459,15813303,Rearick,513,Spain,Male,88,10,0,2,1,1,52952.24,0
2460,15756920,Genovesi,576,France,Male,63,9,70655.48,1,0,0,78955.8,1
2461,15726403,Glenny,660,Germany,Male,41,1,129901.21,1,1,0,26025.6,1
2462,15592765,Marks,637,France,Male,40,8,125470.81,1,1,1,174536.17,0
2463,15704442,Fleming,672,France,Female,53,9,169406.33,4,1,1,147311.47,1
2464,15641136,Davison,629,France,Male,32,2,0,2,0,1,77965.44,0
2465,15725818,Chibuzo,583,Germany,Male,40,4,107041.3,1,1,1,5635.63,0
2466,15612071,Wilson,763,Spain,Female,32,10,95153.77,1,0,1,81310.1,0
2467,15719809,Endrizzi,516,Germany,Male,32,3,145166.09,2,0,0,111421.45,0
2468,15716518,Yuryeva,617,France,Female,27,4,0,2,0,0,190269.21,0
2469,15742210,Ugochukwu,700,France,Male,38,9,65962.63,1,1,1,100950.48,0
2470,15630617,Lo Duca,727,Germany,Male,36,6,140418.81,1,1,1,113033.73,1
2471,15720838,Gallo,689,Spain,Female,31,3,139799.63,1,0,1,120663.57,0
2472,15595537,Trout,626,Germany,Male,49,9,171787.84,2,1,0,187192.23,0
2473,15623196,Morley,686,France,Male,38,6,149238.97,1,1,1,97825.23,0
2474,15679249,Chou,351,Germany,Female,57,4,163146.46,1,1,0,169621.69,1
2475,15693199,Shao,739,France,Female,37,8,0,2,1,0,191557.1,1
2476,15661219,Trentino,627,France,Male,32,10,0,2,1,0,103287.62,0
2477,15617136,Mazzanti,451,Germany,Female,38,9,61482.47,1,1,1,167538.66,0
2478,15760294,Endrizzi,512,France,Female,41,8,145150.28,1,1,0,64869.32,1
2479,15652808,Monaldo,774,France,Female,41,5,126670.37,1,1,0,102426.06,0
2480,15657139,Otutodilinna,652,France,Female,40,8,84390.8,2,0,1,107876.2,0
2481,15803790,Allen,638,Germany,Male,37,2,89728.86,2,1,1,37294.88,0
2482,15764105,Milne,475,France,Female,57,1,0,2,1,0,89248.99,0
2483,15672610,Somadina,567,Spain,Male,40,4,118628.8,1,0,0,91973.63,0
2484,15766896,Chieloka,750,France,Male,37,3,0,2,1,0,16870.2,0
2485,15587735,Chukwuebuka,850,France,Male,39,6,96863.13,1,1,1,121681.19,0
2486,15659501,Chioke,753,France,Female,38,6,142263.45,1,0,1,33730.43,0
2487,15745001,Kovalev,683,Spain,Female,36,7,0,2,1,0,104786.59,0
2488,15651140,Doherty,710,France,Female,32,3,0,1,1,0,94790.34,0
2489,15571148,Baranov,645,Spain,Female,21,1,0,2,0,0,28726.07,0
2490,15776824,Rossi,714,France,Male,28,6,122724.37,1,1,1,67057.27,0
2491,15633141,Robinson,696,Germany,Female,35,4,174902.26,1,1,0,69079.85,0
2492,15764174,Bidencope,612,Spain,Female,26,4,0,2,1,1,179780.74,0
2493,15778155,T'ien,520,Germany,Female,31,3,108914.17,1,1,1,183572.39,1
2494,15715920,De Bernales,782,Spain,Male,23,10,98052.66,1,1,1,142587.32,0
2495,15671917,Wade,666,France,Male,46,5,123873.19,1,1,1,177844.06,0
2496,15666548,Chung,466,Germany,Female,56,2,111920.13,3,1,0,197634.11,1
2497,15625623,Stevenson,567,France,Female,45,4,0,2,0,1,121053.19,0
2498,15748123,Chienezie,613,France,Male,20,3,0,2,1,1,149613.77,0
2499,15648735,Cashin,718,France,Male,37,8,0,2,1,1,142.81,0
2500,15634974,Seppelt,614,France,Female,37,8,75150.34,4,0,1,131766.67,1
2501,15713378,Brownless,711,France,Male,38,10,0,2,0,0,53311.78,0
2502,15753370,McDonald,691,Germany,Female,38,5,114753.76,1,1,0,107665.02,0
2503,15782659,Mamelu,527,France,Male,32,0,0,1,1,0,109523.88,0
2504,15583364,McGregor,476,France,Female,32,6,111871.93,1,0,0,112132.86,0
2505,15625942,McDonald,619,Spain,Female,45,0,0,2,0,0,113645.4,0
2506,15720284,Crawford,607,Germany,Female,37,4,135927.06,1,0,0,180890.4,0
2507,15679642,Feng,695,Spain,Male,44,8,0,2,1,1,70974.13,0
2508,15628007,Genovese,653,France,Male,33,1,0,2,0,0,53379.52,0
2509,15661974,Pirozzi,677,France,Male,46,2,57037.74,1,1,1,158531.01,0
2510,15689341,Gibbs,655,France,Female,50,10,0,4,1,0,179267.94,1
2511,15607993,Milne,625,France,Female,52,2,79468.96,1,1,1,84606.03,0
2512,15693267,Dickson,679,Germany,Female,34,7,121063.85,1,1,0,56984.58,0
2513,15769522,O'Connor,734,France,Male,51,1,118537.47,1,1,1,116912.45,0
2514,15755825,McGuirk,666,France,Male,39,10,0,2,1,0,102999.33,0
2515,15598175,Toscani,592,Germany,Female,26,4,105082.07,2,1,0,132801.57,0
2516,15744327,Ruth,564,France,Male,40,4,0,1,1,0,85455.62,1
2517,15798666,Hughes,814,France,Female,36,6,0,2,1,1,98657.01,0
2518,15577064,Onyekaozulu,592,Germany,Male,36,2,104702.65,2,1,0,107948.72,0
2519,15759436,Aksenov,758,France,Female,50,2,95813.76,3,1,1,67944.09,1
2520,15690231,K'ung,612,Spain,Female,62,0,167026.61,2,1,1,192892.05,0
2521,15751561,Meng,498,Germany,Male,61,7,102453.26,1,1,0,187247.56,1
2522,15739068,Nwoye,638,Germany,Male,25,4,148045.45,2,1,1,114722.42,0
2523,15758056,Calabresi,558,France,Male,35,1,0,2,0,0,111687.57,0
2524,15742269,Milano,756,France,Female,24,1,0,2,1,0,184182.25,0
2525,15726490,Kirby,782,Spain,Male,52,4,0,1,1,1,52759.82,1
2526,15738411,Ho,505,France,Male,34,10,104498.79,1,0,1,126451.14,0
2527,15727919,Chukwuemeka,671,Spain,Female,29,6,0,2,0,0,12048.67,0
2528,15709396,Hale,801,France,Male,42,6,0,2,1,1,95804.33,0
2529,15654106,K?,604,France,Male,26,8,149542.52,2,0,1,197911.52,0
2530,15621653,Rice,716,France,Female,29,10,87946.39,1,1,1,182531.74,0
2531,15598086,Brown,624,France,Female,45,3,68639.57,1,1,0,168002.31,1
2532,15752300,Sagese,607,Germany,Male,47,4,148826.32,1,1,1,79450.61,0
2533,15658693,Aksyonova,827,France,Female,60,2,0,2,0,1,60615.83,0
2534,15631838,Findlay,606,France,Male,61,5,108166.09,2,0,1,8643.21,0
2535,15803804,Walker,717,Germany,Female,35,5,103214.71,1,1,0,172172.7,0
2536,15578809,Hao,651,Germany,Male,40,1,134760.21,2,0,0,174434.06,1
2537,15752026,Hammer,691,France,Male,58,3,0,1,0,1,194930.3,1
2538,15723706,Abbott,573,France,Female,33,0,90124.64,1,1,0,137476.71,0
2539,15752838,Lucas,723,Spain,Male,38,6,0,2,1,1,94415.6,0
2540,15569571,Davydova,584,Germany,Female,46,6,87361.02,2,1,0,120376.87,1
2541,15769703,West,550,Germany,Female,45,8,111257.59,1,0,0,97623.42,1
2542,15679770,Smith,611,France,Female,61,3,131583.59,4,0,1,66238.23,1
2543,15791102,Mai,549,Germany,Male,41,9,95020.8,3,1,1,131710.59,1
2544,15655192,Fiorentino,850,Spain,Female,24,1,0,2,0,1,69052.87,0
2545,15709487,Freeman,668,Germany,Male,34,5,80242.37,2,0,0,56780.97,0
2546,15687130,Nkemjika,686,France,Female,43,0,0,1,1,1,170072.9,0
2547,15755178,Ramos,660,France,Male,50,1,0,3,1,1,191849.15,1
2548,15634772,Mario,682,Spain,Female,59,0,122661.39,1,0,1,84803.76,0
2549,15617197,Chien,524,France,Male,50,4,0,2,1,1,31840.59,1
2550,15631240,Dubinina,645,France,Female,36,8,0,2,1,1,12096.61,1
2551,15784301,Wang,850,France,Male,42,0,0,2,1,0,44165.84,0
2552,15631310,Hsieh,537,France,Female,53,3,0,1,1,1,91406.62,0
2553,15756560,Moran,599,Spain,Female,46,7,81742.84,2,1,0,83282.21,0
2554,15732270,Hung,727,Spain,Male,71,8,0,1,1,1,198446.91,1
2555,15739357,Moss,756,Spain,Male,30,2,145127.85,1,0,0,7554.68,0
2556,15771540,Fedorova,755,France,Male,38,9,148912.44,1,1,0,80416.16,0
2557,15567486,Li,634,Spain,Female,41,4,0,2,1,1,164549.74,0
2558,15714634,Nebechi,837,France,Male,26,4,89900.24,2,1,0,175477.03,0
2559,15727021,Obialo,727,Germany,Female,30,8,119027.28,2,1,1,137903.54,0
2560,15650670,Bateson,567,Germany,Female,40,2,105222.86,2,1,0,93795.86,0
2561,15711834,Long,650,Spain,Female,30,6,0,1,0,0,67997.13,1
2562,15729763,Nelson,655,Spain,Male,34,1,116114.93,1,1,1,49492.15,0
2563,15646566,Bell,763,France,Female,58,9,187911.55,1,0,1,35825.18,0
2564,15645463,Udinese,843,France,Female,27,5,0,2,1,1,67494.23,0
2565,15672144,Mao,667,France,Female,38,6,144432.04,1,1,1,73963.17,1
2566,15596088,Fanucci,705,France,Female,50,4,77065.9,2,0,1,145159.26,0
2567,15614878,Yeh,660,Germany,Female,29,6,180520.29,1,1,1,123850.58,0
2568,15635240,Onuoha,553,France,Male,42,1,0,2,0,0,23822.04,0
2569,15775905,Moore,612,Germany,Female,47,6,130024.87,1,1,1,45750.21,1
2570,15700657,Thornton,641,Germany,Female,40,2,110086.69,1,1,0,159773.14,0
2571,15611905,Warlow-Davies,513,Spain,Female,31,5,174853.46,1,1,0,84238.63,0
2572,15652527,Champion,680,France,Male,44,7,108724.98,1,0,1,72330.46,0
2573,15785865,Mazzanti,711,France,Male,58,9,91285.13,2,1,1,26767.85,0
2574,15645942,Macleod,689,Spain,Male,40,2,0,2,1,1,164768.82,0
2575,15688691,Lei,665,Germany,Female,51,9,110610.41,2,0,1,1112.76,1
2576,15592736,Lucchese,551,Germany,Male,54,5,102994.04,1,1,0,176680.16,1
2577,15673529,Lombardo,645,Spain,Male,36,4,59893.85,2,1,0,43999.64,0
2578,15724145,William,616,Germany,Male,29,8,149318.55,1,1,0,140746.13,0
2579,15704629,Wright,582,France,Female,32,1,116409.55,1,0,1,152790.92,0
2580,15597896,Ozoemena,365,Germany,Male,30,0,127760.07,1,1,0,81537.85,1
2581,15731790,Boyle,697,Germany,Female,38,6,132591.36,1,1,1,7387.8,1
2582,15634719,Chinwendu,704,France,Male,31,0,0,2,1,0,183038.33,0
2583,15703205,Uwaezuoke,656,France,Female,46,5,113402.14,2,1,1,138849.06,0
2584,15567333,Archambault,712,France,Female,31,7,0,2,1,0,170333.38,0
2585,15754537,Ko,748,France,Male,40,0,0,1,0,0,60416.76,0
2586,15612030,Udegbulam,724,France,Male,28,9,0,2,1,1,100240.2,0
2587,15573242,Greene,691,France,Male,50,6,136953.47,1,1,1,2704.98,0
2588,15601892,Hunter,563,France,Male,33,8,0,2,0,1,68815.05,0
2589,15663885,Blinova,741,France,Male,32,5,0,1,1,1,64839.23,0
2590,15701096,De Garis,778,France,Male,44,8,123863.64,1,1,0,144494.94,0
2591,15710450,Okwudiliolisa,848,Spain,Male,22,7,120811.89,1,1,1,185510.34,0
2592,15790846,Ts'ai,634,Germany,Male,38,2,148430.55,1,1,1,56055.72,0
2593,15658956,Tuan,505,Germany,Male,40,6,47869.69,2,1,1,155061.97,0
2594,15755223,Tseng,692,Germany,Male,53,7,150926.99,2,0,0,119817.19,0
2595,15787318,Holmwood,537,Germany,Female,47,6,103163.35,1,1,0,16259.64,1
2596,15737310,Thompson,633,France,Male,29,10,130206.28,1,1,0,184654.87,0
2597,15763665,Y?,833,France,Female,28,4,136674.51,2,0,0,5278.78,0
2598,15668818,Chidubem,592,Spain,Female,40,2,200322.45,1,1,1,113244.73,0
2599,15765812,Trevisani,587,Spain,Male,48,1,0,2,1,1,8908,0
2600,15704844,Hsiung,550,Spain,Male,62,7,80927.56,1,0,1,64490.67,0
2601,15744582,Randall,680,France,Female,24,10,0,3,1,0,154971.63,1
2602,15616700,Leach,622,Spain,Female,41,9,0,2,1,1,155786.39,0
2603,15683521,Godfrey,594,Germany,Male,28,0,142574.71,2,1,0,129084.82,0
2604,15583049,Wallace,643,Germany,Female,34,7,160426.07,1,0,1,188533.11,0
2605,15643752,Wei,540,France,Male,25,5,116160.23,1,1,0,13411.67,0
2606,15620398,Mitchell,635,Spain,Female,34,5,98683.47,2,1,0,15733.19,0
2607,15715707,Light,657,France,Male,32,3,118829.03,2,1,1,73127.61,0
2608,15814209,Capon,814,France,Male,31,1,118870.92,1,1,0,101704.19,0
2609,15733768,Hou,600,France,Male,32,1,0,1,1,1,101986.16,0
2610,15755242,Rowe,682,France,Female,46,2,0,1,1,1,114442.66,0
2611,15729412,Holloway,682,France,Male,38,4,107192.38,1,1,1,15669.17,0
2612,15746564,O'Sullivan,566,France,Male,42,3,108010.78,1,1,1,157486.1,0
2613,15588446,Udinesi,550,Spain,Male,34,3,0,2,0,0,131281.28,0
2614,15665221,Nwebube,630,France,Male,26,7,129837.72,2,0,1,197001.15,0
2615,15640846,Chibueze,546,Germany,Female,58,3,106458.31,4,1,0,128881.87,1
2616,15700209,Walker,486,France,Male,63,9,97009.15,1,1,1,85101,0
2617,15658360,Gregory,762,Spain,Male,35,9,122929.42,2,0,0,149822.04,0
2618,15602735,Kuo,692,Germany,Male,45,6,152296.83,4,0,1,108040.86,1
2619,15724834,Wilson,498,France,Female,30,1,0,2,0,0,135795.53,0
2620,15800062,Lanford,850,Spain,Male,49,8,0,1,0,0,25867.67,1
2621,15685300,Meng,603,France,Male,35,6,128993.76,2,1,0,130483.56,0
2622,15760102,Yeh,551,France,Female,36,5,0,1,1,0,183479.12,0
2623,15787026,Onwuatuegwu,627,Germany,Male,27,0,185267.45,2,1,1,77027.34,0
2624,15653696,Goliwe,515,France,Female,28,9,0,2,0,0,94141.75,0
2625,15788946,Anthony,605,Spain,Female,29,3,116805.82,1,0,0,4092.75,0
2626,15600724,Scott,567,Germany,Male,29,5,129750.68,1,1,0,109257.59,0
2627,15574324,Genovese,568,Germany,Female,29,2,129177.01,2,0,1,104617.99,0
2628,15707144,Onyeorulu,571,Germany,Male,25,6,82506.72,2,1,0,167705.07,0
2629,15775891,Myers,634,Germany,Male,48,2,107247.69,1,1,1,103712.05,1
2630,15711789,Davey,768,Spain,Female,42,3,0,1,0,0,161242.99,1
2631,15600879,Parsons,554,Germany,Female,36,3,157780.93,2,1,0,6089.13,0
2632,15681196,Chikere,629,France,Male,35,1,172170.36,1,1,1,159777.37,0
2633,15716000,Hs?eh,638,Spain,Male,48,2,0,2,1,1,7919.08,0
2634,15766776,Sal,576,France,Male,41,1,0,1,1,1,188274.6,0
2635,15680278,Ts'ai,661,Spain,Female,42,9,75361.44,1,1,0,27608.12,1
2636,15688637,Witt,592,France,Female,27,4,0,2,1,1,183569.25,0
2637,15591179,Skelton,702,Spain,Male,30,2,0,2,1,1,145537.32,0
2638,15677435,Kazantseva,647,France,Female,29,0,98263.46,2,1,0,164717.95,0
2639,15698619,Bowhay,593,France,Male,43,9,0,2,1,1,76357.43,0
2640,15581036,Beyer,712,Germany,Female,40,3,109308.79,2,1,0,120158.72,1
2641,15622117,Fries,625,Spain,Female,31,8,0,2,1,0,151843.54,0
2642,15599301,Tao,538,Germany,Female,28,6,164365.44,1,0,1,5698.97,0
2643,15581548,Kaodilinakachukwu,637,Spain,Female,22,5,98800,1,1,0,122865.55,0
2644,15586870,Ni,632,France,Male,27,4,193125.85,1,1,1,152665.85,0
2645,15735263,Hsueh,736,France,Male,27,5,51522.75,1,0,1,192131.77,0
2646,15765322,Connely,755,France,Male,23,5,84284.48,2,1,1,62851.6,0
2647,15582944,Becker,425,Spain,Female,39,5,0,2,1,0,140941.47,0
2648,15687162,Clayton,461,France,Male,51,9,119889.84,1,0,0,56767.67,1
2649,15644962,Connolly,745,France,Male,21,4,137910.45,1,1,1,177235.23,0
2650,15612615,Graham,616,France,Female,37,6,0,2,1,0,86242.18,0
2651,15813439,Ch'ien,587,France,Male,33,5,100116.82,1,1,0,34215.58,0
2652,15604544,Manfrin,850,Germany,Male,40,4,166082.15,2,0,1,44406.17,0
2653,15761348,Kuo,601,France,Female,38,0,0,2,1,0,165196.65,0
2654,15785078,Fomin,730,Spain,Male,26,3,0,1,1,0,34542.41,0
2655,15759874,Chamberlain,532,France,Male,44,3,148595.55,1,1,0,74838.64,1
2656,15643658,Barber,850,Germany,Male,53,2,94078.97,2,1,0,36980.54,0
2657,15713267,Zimmer,779,Spain,Female,34,5,0,2,0,1,111676.63,0
2658,15737782,Brazenor,562,France,Male,29,9,0,1,1,1,25858.68,0
2659,15815490,Cocci,670,Germany,Male,40,2,164948.98,3,0,0,177028,1
2660,15679410,Caldwell,729,France,Female,62,4,140549.4,1,1,0,30990.16,1
2661,15756241,Yirawala,767,France,Female,44,2,152509.25,1,1,1,136915.15,0
2662,15688409,Donaldson,742,France,Female,28,2,191864.51,1,1,0,108457.99,1
2663,15742272,Ozerova,669,France,Female,44,8,96418.09,1,0,0,131609.48,1
2664,15717898,Bruce,542,Spain,Male,32,2,131945.94,1,0,1,159737.56,0
2665,15769582,Kang,586,France,Male,29,3,0,2,1,1,142238.54,0
2666,15635660,Rossi,612,Germany,Male,30,9,142910.15,1,1,0,105890.55,1
2667,15576723,Ts'ai,740,France,Female,37,7,0,2,1,1,194270.91,0
2668,15591577,Moran,584,France,Male,35,3,146311.58,1,1,1,105443.47,0
2669,15582325,Jennings,524,France,Male,52,2,87894.26,1,1,0,173899.42,1
2670,15693947,Tokareva,614,France,Female,19,5,97445.49,2,1,0,122823.34,0
2671,15760446,Pagnotto,598,France,Female,64,9,0,1,0,1,13181.37,1
2672,15611105,Castella,799,Spain,Male,35,7,0,2,0,1,140780.8,0
2673,15630920,Du Cane,724,France,Male,34,2,154485.74,2,0,0,78560.64,0
2674,15574910,Ferguson,601,France,Male,50,2,115625.07,1,1,0,185855.21,0
2675,15756472,Odinakachukwu,804,France,Male,25,7,108396.67,1,1,0,128276.95,0
2676,15682890,Woronoff,745,Germany,Male,38,5,65095.41,2,1,1,140197.42,0
2677,15641994,Meng,667,Germany,Male,43,1,103018.45,1,1,0,32462.39,1
2678,15733297,Sinclair,518,France,Female,38,10,84764.79,1,1,1,162253.9,0
2679,15767793,Hsu,819,France,Female,38,10,0,2,1,0,30498.7,0
2680,15725698,Panicucci,520,Spain,Female,35,4,115680.81,1,1,1,90280.7,0
2681,15813532,Burns,625,France,Female,39,5,0,2,1,0,32615.21,0
2682,15576760,Onodugoadiegbemma,673,Germany,Male,36,5,73088.06,2,0,0,196142.26,0
2683,15732102,Darling,656,Germany,Female,27,3,150905.03,2,1,0,16998.72,0
2684,15739046,Maggard,850,Spain,Female,23,9,143054.85,1,0,1,62980.96,0
2685,15631927,Thomas,574,Spain,Female,28,7,0,2,0,0,185660.3,0
2686,15672115,Lettiere,679,France,Male,60,6,0,2,1,1,77331.77,0
2687,15618765,Ponomaryov,530,Germany,Female,42,0,99948.45,1,0,1,97338.62,0
2688,15679148,Oliver,508,France,Male,44,3,115451.05,2,0,0,67234.33,0
2689,15728474,Chienezie,558,Germany,Male,32,4,108235.91,1,1,1,143783.28,0
2690,15636999,Mao,414,France,Male,38,8,0,1,0,1,77661.12,1
2691,15754261,Ho,648,Spain,Male,42,2,98795.61,2,1,0,89123.99,0
2692,15629150,Lucchese,721,France,Female,37,1,0,2,1,0,70810.8,0
2693,15736274,Prokhorova,751,France,Male,31,8,0,2,0,0,17550.49,0
2694,15627697,Alekseyeva,662,France,Male,34,2,0,2,0,1,21497.27,0
2695,15721585,Blacklock,628,Germany,Male,29,3,113146.98,2,0,1,124749.08,0
2696,15639946,Sazonova,597,Germany,Female,39,8,162532.14,3,1,0,36051.46,1
2697,15792176,Henty,698,Spain,Female,40,0,92053.44,1,1,1,143681.83,0
2698,15699450,Li,723,France,Male,48,7,0,2,1,1,150694.58,0
2699,15729954,Azuka,586,France,Female,28,5,0,3,1,0,170487.4,1
2700,15600103,Alexander,633,Germany,Female,29,8,104944.1,1,1,1,97684.46,0
2701,15786200,Brock,564,France,Male,31,4,0,2,1,0,53520.03,0
2702,15797010,Shen,649,France,Female,31,2,0,2,1,0,15200.61,0
2703,15670172,Padovesi,622,France,Female,30,4,107879.04,1,0,1,196894.62,0
2704,15627352,Bulgakov,459,Germany,Male,46,7,110356.42,1,1,0,4969.13,1
2705,15622494,Mazzanti,718,France,Male,27,2,0,2,0,0,26229.24,0
2706,15585835,Lord,655,Spain,Female,34,4,109783.69,2,1,0,134034.32,0
2707,15595071,Ramos,696,France,Male,22,9,149777,1,1,1,198032.93,0
2708,15628203,Pai,637,France,Female,38,3,104339.56,1,0,0,119882.86,0
2709,15667190,Yuan,630,Spain,Female,21,1,85818.18,1,1,1,133102.3,0
2710,15780212,Mao,592,France,Male,37,4,212692.97,1,0,0,176395.02,0
2711,15766869,Uspenskaya,634,Germany,Male,37,1,89696.84,2,1,1,193179.88,0
2712,15775741,Powell,608,France,Female,28,9,0,2,1,1,125062.02,0
2713,15628170,Brown,565,Germany,Female,32,9,68067.24,1,1,0,143287.58,0
2714,15701318,Poole,763,Spain,Male,67,9,148564.66,1,0,1,87236.4,0
2715,15710928,McChesney,665,France,Female,55,8,136354.16,1,1,1,93769.89,0
2716,15682547,Lucchese,649,France,Male,38,1,122214,1,0,1,88965.46,0
2717,15631170,Clements,695,France,Male,45,3,0,2,1,1,30793.61,0
2718,15648702,Yuriev,775,Germany,Male,70,6,119684.88,2,1,1,74532.02,0
2719,15783444,Endrizzi,788,France,Female,39,3,135139.33,1,0,1,113086.08,0
2720,15809178,Pan,569,Germany,Female,42,9,146100.75,1,1,0,32574.01,1
2721,15806688,Manfrin,726,Spain,Female,56,8,123110.9,3,0,1,130113.78,1
2722,15576824,Kennedy,564,Germany,Female,44,3,111760.4,3,1,1,104722.47,1
2723,15675422,Conway,544,France,Female,32,9,110728.39,1,1,1,14559.62,0
2724,15681550,Lablanc,614,France,Female,41,8,121558.46,1,1,1,598.8,0
2725,15812628,Dodd,453,Germany,Female,38,8,120623.21,1,1,0,129697.99,0
2726,15597951,Muir,471,France,Female,58,4,114713.57,1,1,1,36315.03,0
2727,15807045,Milanesi,829,Germany,Female,37,3,103457.76,1,0,0,1114.12,0
2728,15581748,Shen,754,Germany,Male,57,2,101134.87,2,1,1,70954.41,0
2729,15770420,Dillon,749,Germany,Male,46,10,78136.36,2,1,1,73470.98,0
2730,15608230,Hoelscher,667,France,Male,23,1,0,2,1,0,91573.19,0
2731,15730339,Bell,670,Spain,Male,30,3,133446.34,1,0,0,3154.95,0
2732,15712584,Liao,670,France,Female,33,7,0,2,1,1,88187.81,0
2733,15592816,Udokamma,623,Germany,Female,48,1,108076.33,1,1,0,118855.26,1
2734,15641480,Sinnett,571,France,Male,32,5,131354.25,1,1,0,125256.53,0
2735,15708505,Palerma,641,Germany,Female,37,7,62974.64,2,0,1,39016.43,0
2736,15791131,Chimaijem,551,Germany,Female,30,2,143340.44,1,1,0,145796.49,0
2737,15618225,Porter,741,Germany,Male,36,8,116993.43,2,1,0,168816.22,0
2738,15644724,Fan,472,France,Male,31,4,58662.92,2,0,1,73322,0
2739,15662098,Palmer,650,Spain,Male,41,3,128808.65,3,0,0,113677.53,1
2740,15723894,Younger,625,France,Male,45,7,137555.44,1,0,0,124607.7,0
2741,15787699,Burke,650,Germany,Male,34,4,142393.11,1,1,1,11276.48,0
2742,15687738,Nwagugheuzo,535,France,Female,38,8,0,2,1,0,136620.64,0
2743,15576126,Young,649,France,Female,41,2,125785.23,1,1,1,70523.92,0
2744,15658889,Watson,689,France,Male,22,4,136444.25,1,1,0,51980.25,1
2745,15667046,Tseng,694,Spain,Male,38,7,121527.4,1,1,0,113481.02,0
2746,15669957,Drake,655,Germany,Male,52,9,144696.75,1,1,1,49025.79,0
2747,15655794,Hanna,620,France,Male,36,8,0,2,1,1,145937.99,0
2748,15599829,Padovesi,577,France,Female,35,10,0,2,1,1,25161.61,0
2749,15753332,Loftus,401,Germany,Male,48,8,128140.17,1,1,0,175753.55,1
2750,15671124,Buccho,599,France,Male,25,6,120383.41,1,1,1,24903.09,0
2751,15767474,Lorenzo,481,France,Female,57,9,0,3,1,1,169719.35,1
2752,15720671,Ibezimako,704,France,Male,42,8,129735.3,2,1,1,179565.57,0
2753,15626787,Wei,698,Spain,Female,31,8,185078.26,1,0,0,115337.74,1
2754,15774491,Ross,480,France,Female,28,6,0,2,0,0,48131.92,0
2755,15579647,Oluchukwu,682,France,Male,42,0,0,1,1,1,160828.98,0
2756,15625522,Walker,700,Spain,Male,31,7,0,2,0,1,145151.96,0
2757,15765806,Wu,492,France,Male,29,1,144591.96,1,1,1,196293.76,0
2758,15566708,Chidalu,444,France,Female,45,4,0,2,1,0,161653.5,1
2759,15668347,Ingram,624,France,Male,36,6,0,2,0,0,84635.64,0
2760,15575214,Ch'en,709,France,Male,37,7,0,1,1,0,159486.76,0
2761,15591123,Iredale,557,Germany,Male,68,2,100194.44,1,1,1,38596.34,0
2762,15573280,Gallagher,646,Germany,Male,50,6,145295.31,2,1,1,27814.74,0
2763,15589018,Padilla,719,Germany,Male,28,3,106070.29,2,1,1,183893.31,0
2764,15654495,Potter,706,Germany,Female,47,6,120621.89,1,1,1,140803.7,0
2765,15597265,Mao,660,France,Male,38,7,0,2,0,1,146585.53,0
2766,15733876,Schneider,667,France,Male,36,9,0,2,1,1,40062.29,0
2767,15677217,Ibragimova,705,France,Male,30,1,0,1,1,1,181300.32,0
2768,15747265,Huang,598,Germany,Female,27,10,171283.91,1,1,1,84136.12,0
2769,15713379,Anderson,669,France,Male,26,4,0,2,1,1,197594.34,0
2770,15730433,Nakayama,580,Germany,Female,38,1,128218.47,1,1,0,125953.83,1
2771,15693347,Gardener,676,France,Female,32,5,0,2,1,1,75465.41,0
2772,15715465,Aksenova,714,Germany,Male,28,7,77776.39,1,1,0,177737.07,0
2773,15680736,Milne,597,Germany,Female,72,6,124978.19,2,1,1,7144.46,0
2774,15610765,Onwumelu,559,France,Male,29,1,0,2,0,0,155639.76,0
2775,15650034,Kudryashova,564,France,Female,28,1,0,1,1,1,162428.05,0
2776,15782468,Hart,850,Spain,Male,51,3,109799.55,2,1,1,12457.76,1
2777,15685109,Teng,689,France,Male,39,7,0,2,0,0,14917.09,0
2778,15776233,Kruglova,758,Germany,Female,61,8,125397.21,1,1,0,182184.09,1
2779,15761141,Palerma,604,Spain,Female,71,10,0,2,1,1,129984.2,0
2780,15781702,Brookes,733,Germany,Male,38,9,111347.37,2,0,1,194872.97,0
2781,15790235,Hsing,778,Spain,Male,40,8,104291.41,2,1,1,117507.11,0
2782,15641416,Shaffer,732,Germany,Female,61,9,94867.18,2,1,1,157527.6,1
2783,15775234,Laurie,646,France,Male,24,8,0,2,0,0,92612.88,0
2784,15659475,Chung,597,France,Female,33,6,135703.59,2,0,0,74850.84,0
2785,15642202,Whitfield,821,Germany,Female,37,5,106453.53,2,0,1,127413,0
2786,15771417,Thomas,640,France,Male,43,7,132412.38,1,0,0,69584.3,1
2787,15585100,Rioux,511,Germany,Female,40,9,124401.6,1,1,0,198814.24,1
2788,15700487,Osonduagwuike,805,France,Male,46,6,118022.06,3,1,0,162643.15,1
2789,15726589,Matveyev,540,Germany,Male,39,1,82531.11,1,1,0,114092.52,0
2790,15747503,Hayward,705,Spain,Male,44,0,184552.12,1,1,0,68860.3,1
2791,15595883,Nkemdirim,540,Germany,Male,39,4,127278.31,1,1,1,16150.34,0
2792,15663826,Brim,532,Spain,Female,66,3,0,1,1,1,115227.02,0
2793,15742820,Trevisano,535,France,Female,45,2,0,2,0,1,170621.55,0
2794,15624793,Soubeiran,627,Germany,Male,23,5,184244.86,1,1,0,103099.22,0
2795,15597930,Wilson,646,France,Male,52,8,59669.43,1,0,0,172495.81,1
2796,15665110,Helena,515,France,Female,25,7,79543.59,1,0,1,38772.82,0
2797,15770719,Duncan,697,France,Female,39,6,151553.19,1,1,1,44946.29,0
2798,15731327,Hale,652,Germany,Male,27,2,166527.88,2,0,1,146007.7,0
2799,15576044,Macdonald,579,Germany,Male,28,6,150329.15,1,1,0,145558.42,0
2800,15775662,McKay,760,France,Male,43,8,121911.59,1,1,0,193312.33,0
2801,15646817,Chiekwugo,769,France,Male,51,9,156773.78,2,1,0,40257.79,0
2802,15596060,Skinner,498,Spain,Male,29,8,127864.26,1,1,1,46677.9,0
2803,15723299,Sorokina,774,France,Male,53,4,113709.28,1,1,1,153887.93,1
2804,15636982,Weller,705,Germany,Female,43,7,79974.55,1,1,1,103108.33,0
2805,15751175,Bess,648,France,Female,44,2,0,2,1,1,58652.23,0
2806,15618936,MacDonald,688,France,Female,51,5,0,1,1,0,91624.11,1
2807,15787529,Gray,592,Spain,Male,38,0,0,1,1,0,65986.48,1
2808,15780128,Ogbonnaya,705,France,Male,33,3,144427.96,2,1,0,113845.19,0
2809,15615991,Udegbulam,654,France,Male,42,7,99263.09,1,1,1,67607.9,0
2810,15757001,Mai,624,France,Female,32,2,79368.87,2,1,1,145471.94,0
2811,15595388,Yeh,594,France,Female,30,10,0,2,1,1,124071.71,0
2812,15699550,Babbage,695,Spain,Female,34,9,0,2,1,1,67502.12,0
2813,15581620,Franklin,597,France,Male,28,2,0,3,1,1,78707.97,0
2814,15600934,Randell,758,France,Female,52,7,125095.94,1,1,0,171189.83,1
2815,15738672,Paterson,737,Germany,Female,40,2,162485.8,2,1,0,149381.32,0
2816,15721307,Pickering,694,Germany,Male,37,1,95668.82,2,1,0,100335.55,0
2817,15619280,Uspensky,683,France,Male,25,4,0,2,1,0,152698.24,0
2818,15768244,Macleod,538,Spain,Female,30,8,0,2,1,1,41192.95,0
2819,15806837,Nnaife,669,France,Male,37,4,0,1,1,0,132540.33,0
2820,15643496,Randolph,730,France,Female,34,5,74197.38,2,1,0,96875.52,0
2821,15813916,Kudryashova,622,France,Female,31,1,89688.94,1,1,1,152305.47,0
2822,15626385,George,714,Spain,Female,33,10,103121.33,2,1,1,49672.01,0
2823,15603582,Robertson,569,Spain,Female,34,3,0,1,1,0,133997.53,0
2824,15764351,Yuryeva,668,Germany,Female,59,5,120170.07,1,0,1,50454.8,0
2825,15667938,Hurst,628,France,Male,32,9,149136.31,2,1,1,16402.11,0
2826,15576360,Ch'iu,600,France,Male,40,1,141136.79,1,1,1,67803.83,0
2827,15628813,King,693,France,Female,43,4,152341.55,1,1,0,9241.78,0
2828,15584190,Esposito,704,France,Male,36,7,120026.98,2,0,1,100601.73,0
2829,15716449,Fraser,527,Spain,Male,33,9,132168.28,1,0,0,98734.15,0
2830,15759913,Trentini,553,Germany,Male,43,6,85200.82,2,1,1,160574.09,0
2831,15701555,Nicholls,575,Spain,Male,53,1,84903.33,2,0,1,26015.8,0
2832,15758482,Montalvo,626,France,Female,32,0,0,2,0,0,187172.54,0
2833,15758171,Tien,582,France,Male,20,4,0,1,1,1,55763.66,0
2834,15680346,Chuang,683,Spain,Male,40,8,0,1,1,0,75848.22,0
2835,15649124,Fang,850,France,Male,30,9,121535.18,1,0,0,40313.47,0
2836,15812917,Kosisochukwu,653,Spain,Male,35,6,116662.96,2,1,1,23864.21,0
2837,15768455,Young,679,France,Male,60,8,0,2,1,1,51380.9,0
2838,15703059,Scott,549,Germany,Female,49,6,124829.16,1,0,1,93551.36,0
2839,15646196,Yeh,850,Spain,Female,36,2,155180.56,2,0,0,169415.54,0
2840,15585451,Vigano,558,Germany,Female,32,1,108262.87,1,1,1,6935.31,0
2841,15714057,Windradyne,528,Spain,Male,40,4,0,2,1,0,25399.7,0
2842,15748473,Curnow,801,France,Male,38,5,0,2,1,0,66256.27,0
2843,15785782,Ugonna,513,Spain,Male,48,2,0,1,1,1,114709.13,1
2844,15693233,De...