df <- read.csv("C:/Users/MSII/Downloads/vlvy_marketing_dataset (1).csv ")
Chuyển đổi dữ liệu định tính
Nhóm “Married”, “Together” sẽ được xem là “Relationship”. Trong khi “Divorced”, “Widow”, “Single” trở thành “Single”
# Chuyển đổi biến Marital_Status
df$Marital_Status <- gsub("Married|Together", "Relationship", df$Marital_Status)
df$Marital_Status <- gsub("Divorced|Widow|Single", "Single", df$Marital_Status)
Marital_Status <- df$Marital_Status
Nhóm “PhD”, “Graduation” và “Master” trở thành “PG”. Nhóm “Basic” và “2n Cycle” trở thành “UG
# Chuyển đổi biến Education
df$Education <- gsub("PhD|Graduation|Master", "PG", df$Education)
df$Education <- gsub("Basic|2n Cycle", "UG", df$Education)
Education <- df$Education
# Create Kids
Kids <- df$Kidhome + df$Teenhome
product_data <- list()
for (i in 1:length(df)) {
productdata <- c(df$MntWines[i], df$MntMeatProducts[i], df$MntFishProducts[i],
df$MntSweetProducts[i], df$MntGoldProds[i])
product_data <- c(product_data, list(productdata))
}
Products_DF <- data.frame(matrix(unlist(product_data), nrow=length(product_data), byrow=TRUE))
colnames(Products_DF) <- c('Wines', 'Meat', 'Fish', 'Sweets', 'Gold')
head(Products_DF)
## Wines Meat Fish Sweets Gold
## 1 635 546 172 88 88
## 2 11 6 2 1 6
## 3 426 127 111 21 42
## 4 11 20 10 3 5
## 5 173 118 46 27 15
## 6 520 98 0 42 14
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
#Create Age segment
Age <- 2023 - df$Year_Birth
cut_labels_Age <- c("Young", "Adult", "Mature", "Senior")
cut_bins <- c(0, 30, 45, 65, 120)
Age_segment <- cut(Age, breaks=cut_bins, labels=cut_labels_Age)
#Create Wines segment
cut_labels <- c('Least Active Customer', 'Highly Active Customer')
cut_bins <- c(0, 100, 1500)
Wines_segment <- cut(df$MntWines, breaks=cut_bins, labels=cut_labels)
Từ kiểm định tính độc lập và các đánh giá trên, mô hình hồi quy được đề xuất như sau:
Wines_segment= Marital_Status + Income + Kids + Age_segment + Education
income = df$Income
data = data.frame(Marital_Status, Education, Kids, Age_segment, Wines_segment, income)
income <- cut(income,2, labels = c('low','high'))
mlogit <- glm(data = data, formula = factor(Wines_segment) ~ Marital_Status + income + Kids + Age_segment + Education, family = binomial(link = "logit"))
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
levels(factor(Wines_segment))
## [1] "Least Active Customer" "Highly Active Customer"
summary(mlogit)
##
## Call:
## glm(formula = factor(Wines_segment) ~ Marital_Status + income +
## Kids + Age_segment + Education, family = binomial(link = "logit"),
## data = data)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -5.399e+00 1.243e+00 -4.344 1.40e-05 ***
## Marital_StatusSingle -5.611e-02 1.352e-01 -0.415 0.67804
## income 1.157e-04 5.136e-06 22.520 < 2e-16 ***
## Kids -7.621e-01 9.684e-02 -7.869 3.57e-15 ***
## Age_segmentAdult 4.777e-01 1.217e+00 0.392 0.69473
## Age_segmentMature 1.143e+00 1.214e+00 0.942 0.34630
## Age_segmentSenior 1.356e+00 1.219e+00 1.112 0.26613
## EducationUG -7.050e-01 2.293e-01 -3.075 0.00211 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 2993.3 on 2199 degrees of freedom
## Residual deviance: 1464.7 on 2192 degrees of freedom
## (17 observations deleted due to missingness)
## AIC: 1480.7
##
## Number of Fisher Scoring iterations: 7
Kiểm định sự phù hợp của mô hình bằng cách tính giá trị Prob(LR statistic) Đặt giả thuyết H0: Mô hình không phù hợp
# Kiểm định sự phù hợp của mô hình
lr_test <- anova(mlogit, test = "Chisq")
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
p_value <- lr_test$Pr[2]
p_value
## [1] 0.9337112
Kết quả kiểm định cho thấy p- value = 0,9337112 > 0,05. Như vậy, với mức ý nghĩa 5% chưa đủ cơ sở bác bỏ giả thuyết H0 nên mô hình không phù hợp với dữ liệu.
Ta thấy biến Age_segment và Marital_Status không có ý nghĩa thống kê vì vậy loại bỏ hai biến này và thực hiện lại hồi quy Logit. Mô hình trở thành
Wines_segment= Income + Kids + Education
income = df$Income
data = data.frame(Education, Kids, Wines_segment, income)
income <- cut(income,2, labels = c('low','high'))
mlogit2<- glm(data = data, formula = factor(Wines_segment) ~ income + Kids + Education, family = binomial(link = "logit"))
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
levels(factor(Wines_segment))
## [1] "Least Active Customer" "Highly Active Customer"
summary(mlogit2)
##
## Call:
## glm(formula = factor(Wines_segment) ~ income + Kids + Education,
## family = binomial(link = "logit"), data = data)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -4.641e+00 2.650e-01 -17.509 < 2e-16 ***
## income 1.191e-04 5.126e-06 23.227 < 2e-16 ***
## Kids -6.622e-01 9.414e-02 -7.035 1.99e-12 ***
## EducationUG -8.422e-01 2.259e-01 -3.729 0.000192 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 2997.8 on 2202 degrees of freedom
## Residual deviance: 1485.1 on 2199 degrees of freedom
## (14 observations deleted due to missingness)
## AIC: 1493.1
##
## Number of Fisher Scoring iterations: 7
# Kiểm định sự phù hợp của mô hình
lr_test <- anova(mlogit2, test = "Chisq")
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
p_value <- lr_test$Pr[2]
p_value
## [1] 8.423049e-318
Kết quả kiểm định cho thấy p- value= 8,423049e-318 < 0,05. Như vậy, với mức ý nghĩa 5% chưa đủ cơ sở bác bỏ giả thuyết H0 nên mô hình phù hợp với dữ liệu.
mprobit <- glm(data = data, formula = factor(Wines_segment) ~ income + Kids + Education, family = binomial(link = "probit"))
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
levels(factor(Wines_segment))
## [1] "Least Active Customer" "Highly Active Customer"
summary(mprobit)
##
## Call:
## glm(formula = factor(Wines_segment) ~ income + Kids + Education,
## family = binomial(link = "probit"), data = data)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -1.933e+00 1.238e-01 -15.611 < 2e-16 ***
## income 5.075e-05 2.091e-06 24.273 < 2e-16 ***
## Kids -3.415e-01 4.751e-02 -7.188 6.55e-13 ***
## EducationUG -4.481e-01 1.110e-01 -4.037 5.42e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 2997.8 on 2202 degrees of freedom
## Residual deviance: 1728.8 on 2199 degrees of freedom
## (14 observations deleted due to missingness)
## AIC: 1736.8
##
## Number of Fisher Scoring iterations: 12
Kiểm định sự phù hợp của mô hình bằng cách tính giá trị Prob(LR statistic) Đặt giả thuyết H0: Mô hình không phù hợp
# Kiểm định sự phù hợp của mô hình
lr_test <- anova(mprobit, test = "Chisq")
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
p_value <- lr_test$Pr[2]
p_value
## [1] 1.639956e-265
Kết quả kiểm định cho thấy p- value= 1,639956e-265 < 0,05. Như vậy, với mức ý nghĩa 5% bác bỏ giả thuyết H0 nên mô hình phù hợp với dữ liệu.
mclog <- glm(data = data, formula = factor(Wines_segment) ~ income + Kids + Age_segment + Education, family = binomial(link = "cloglog"))
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
levels(factor(Wines_segment))
## [1] "Least Active Customer" "Highly Active Customer"
summary(mclog)
##
## Call:
## glm(formula = factor(Wines_segment) ~ income + Kids + Age_segment +
## Education, family = binomial(link = "cloglog"), data = data)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -4.164e+00 6.908e-01 -6.027 1.67e-09 ***
## income 7.653e-05 3.314e-06 23.093 < 2e-16 ***
## Kids -4.157e-01 6.357e-02 -6.539 6.20e-11 ***
## Age_segmentAdult 2.573e-01 6.652e-01 0.387 0.69889
## Age_segmentMature 7.973e-01 6.628e-01 1.203 0.22903
## Age_segmentSenior 8.295e-01 6.653e-01 1.247 0.21245
## EducationUG -4.432e-01 1.501e-01 -2.954 0.00314 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 2993.3 on 2199 degrees of freedom
## Residual deviance: 1874.5 on 2193 degrees of freedom
## (17 observations deleted due to missingness)
## AIC: 1888.5
##
## Number of Fisher Scoring iterations: 12
Kết quả kiểm định cho thấy p- value= 1,639956e-265 < 0,05. Như vậy, với mức ý nghĩa 5% bác bỏ giả thuyết H0 nên mô hình phù hợp với dữ liệu.
# Kiểm định sự phù hợp của mô hình
lr_test <- anova(mclog, test = "Chisq")
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
p_value <- lr_test$Pr[2]
p_value
## [1] 2.033432e-232
Kết quả kiểm định cho thấy p- value= 2.033432e-232 < 0,05. Như vậy, với mức ý nghĩa 5% bác bỏ giả thuyết H0 nên mô hình phù hợp với dữ liệu.
aic <- data.frame(mlogit2$aic, mprobit$aic, mclog$aic)
colnames(aic) <- c("AIC(Logit)", "AIC(Probit)", "AIC(Cloglog)")
aic
## AIC(Logit) AIC(Probit) AIC(Cloglog)
## 1 1493.113 1736.766 1888.509
Ta thấy mô hình hồi quy Logit có hệ số AIC nhỏ nhất (1493,113 ) nên ta chọn mô hình hồi quy Logit.
dev <- data.frame(mlogit2$deviance, mprobit$deviance, mclog$deviance)
colnames(dev) <- c("Deviance(Logit)", "Deviance(Probit)", "Deviance(Cloglog)")
dev
## Deviance(Logit) Deviance(Probit) Deviance(Cloglog)
## 1 1485.113 1728.766 1874.509
Ta thấy mô hình hồi quy Logit có hệ số Deviance nhỏ nhất (1485,113) nên ta chọn mô hình hồi quy Logit.
BrierScore(mlogit2) = 0.08522824
BrierScore(mprobit) = 0.09483843
BrierScore(mclog) = 0.08637418
Ta thấy mô hình hồi quy Logit có hệ số Brier Score nhỏ nhất (0,08522824) nên ta chọn mô hình hồi quy Logit.
Qua các kiểm định cho thấy mô hình hồi quy Logit được lựa chọn nhiều nhất nên mô hình này sẽ được dùng để phân tích kết quả.
Như vậy, kết quả ước lượng cho mô hình hồi quy là:
Wines_segment= -4,641e+00 + 1,191e-04Income -6,622e-01Kids -8,422e-01Education
Phân tích thống kê mô tả của 2 biến phụ thuộc ở câu 2 với 5 biến còn lại trong câu 3, nhận xét về kết quả phân tích này.
Bảng tần suất của hai biến Marital_Status và Wines_segment
mw <-table(Marital_Status, Wines_segment)
mw
## Wines_segment
## Marital_Status Least Active Customer Highly Active Customer
## Relationship 600 826
## Single 327 451
mw2 <- data.frame(Marital_Status, Wines_segment)
library(ggplot2)
ggplot(mw2, aes(Marital_Status, fill = Wines_segment)) + geom_bar(position = 'dodge') +
labs(title = "Analysis of the Correlation between Marital Status and Wines_segment")
Qua biểu đồ ta có thể thấy, dù ở tình trạng độc thân hay trong mối quan hệ thì số tiền bỏ ra cho rượu ở các hộ gia đình trong nhóm quan sát là khá cao. Trong đó, nhóm khách hàng trong mối quan hệ là chi nhiều tiền cho rượu trong vòng 2 năm qua nhất. Khoảng 600 khách hàng ở nhóm trong mối quan hệ có thói quen chi ít tiền cho rượu và đến hơn 800 người trong nhóm này chi nhiều tiền cho rượu trong vòng 2 năm qua. Trong khi đó, nhóm khách hàng độc thân có khoảng hơn 200 người chi ít tiền cho rượu và khoảng 450 người chi nhiều tiền cho rượu trong 2 năm qua.
Bảng tần suất của hai biến Marital_Status và Wines_segment
aw <-table(Age_segment, Wines_segment)
aw
## Wines_segment
## Age_segment Least Active Customer Highly Active Customer
## Young 3 11
## Adult 303 226
## Mature 496 706
## Senior 123 333
aw2 <- data.frame(Age_segment, Wines_segment)
library(ggplot2)
ggplot(mw2, aes(Age_segment, fill = Wines_segment)) + geom_bar(position = 'dodge') +
labs(title = "Analysis of the Correlation between Age_segment and Expenses")
Qua biểu đồ ta có thể thấy, nhóm khách hàng từ 30 tuổi trở lên chi nhiều tiền cho rượu hơn nhóm khách hàng U30 tuổi. Trong đó, nhóm khách hàng trưởng thành từ 45- 65 là nhóm chi nhiều tiền cho rượu nhất trong vòng 2 năm qua khi đến hơn 800 người thuộc nhóm khách hàng có hoạt động chi tiêu cao.
ew <-table(Education, Wines_segment)
ew
## Wines_segment
## Education Least Active Customer Highly Active Customer
## PG 770 1189
## UG 157 88
ew2 <- data.frame(Education, Wines_segment)
library(ggplot2)
ggplot(ew2, aes(Education, fill = Wines_segment)) + geom_bar(position = 'dodge') +
labs(title = "Analysis of the Correlation between Education and Wines_segment")
Qua
biểu đồ ta có thể thấy, khách hàng ở nhóm có trình độ học vấn là PG có
thói quen chi nhiều tiền hơn cho rượu khi có đến khoảng 1200 khách hàng
thuộc nhóm chi tiêu cao cho rượu trong vòng 2 năm qua.
Ký hiệu \(π_i\) là tỷ lệ “thành công” của biến phụ thuộc (response variable) tương ứng với từng biểu hiện của biến độc lập.
Từ bảng tần suất, chúng ta tính \(π_1/π_2\), phân số này gọi là Rủi ro tương đối (Relative risk) giữa 2 biểu hiện khác nhau của biến phụ thuộc.
addmargins(mw)
## Wines_segment
## Marital_Status Least Active Customer Highly Active Customer Sum
## Relationship 600 826 1426
## Single 327 451 778
## Sum 927 1277 2204
Từ bảng tần suất chúng ta thấy
Khách hàng có tình trạng hôn nhân là trong mối quan hệ có 600 khách hàng thuộc nhóm chi tiêu thấp cho rượu trong vòng 2 năm qua và 826 khách hàng thuộc nhóm chi tiêu cao cho rượu trong vòng 2 năm qua.
Khách hàng có tình trạng hôn nhân là độc thân có 327 khách hàng thuộc nhóm chi tiêu thấp cho rượu trong vòng 2 năm qua và 451 khách hàng trong thuộc nhóm chi tiêu cao cho rượu trong vòng 2 năm qua.
Chúng ta tính rủi ro tương đối (relative risk).
## Lệnh này tính relativerisk cho vị trí 12 và 22
library("DescTools")
RelRisk(mw)
## [1] 1.001068
Theo kết quả trên cho thấy tỷ lệ rủi ro tương đối của khách hàng chi tiêu cao cho rượu là tính là 1,001068, có nghĩa là tỷ lệ những khách hàng khách hàng chi tiêu cao cho rượu có tình trạng hôn nhân là trong mối quan hệ gấp 1,001068 lần tỷ lệ những khách hàng khách hàng chi tiêu cao cho rượu có tình trạng hôn nhân là độc thân.
addmargins(aw)
## Wines_segment
## Age_segment Least Active Customer Highly Active Customer Sum
## Young 3 11 14
## Adult 303 226 529
## Mature 496 706 1202
## Senior 123 333 456
## Sum 925 1276 2201
Từ bảng tần suất chúng ta thấy
Khách hàng có độ tuổi là người trẻ có 3 khách hàng thuộc nhóm chi tiêu thấp cho rượu trong vòng 2 năm qua và 11 khách hàng thuộc nhóm chi tiêu cao cho rượu trong vòng 2 năm qua.
Khách hàng có độ tuổi là người là người lớn có 303 khách hàng thuộc nhóm chi tiêu thấp cho rượu trong vòng 2 năm qua và 226 khách hàng trong thuộc nhóm chi tiêu cao cho rượu trong vòng 2 năm qua.
Khách hàng có độ tuổi là người là người trưởng thành có 496 khách hàng thuộc nhóm chi tiêu thấp cho rượu trong vòng 2 năm qua và 706 khách hàng trong thuộc nhóm chi tiêu cao cho rượu trong vòng 2 năm qua.
Khách hàng có độ tuổi là người là người lớn tuổi có 123 khách hàng thuộc nhóm chi tiêu thấp cho rượu trong vòng 2 năm qua và 333 khách hàng trong thuộc nhóm chi tiêu cao cho rượu trong vòng 2 năm qua.
addmargins(ew)
## Wines_segment
## Education Least Active Customer Highly Active Customer Sum
## PG 770 1189 1959
## UG 157 88 245
## Sum 927 1277 2204
Từ bảng tần suất chúng ta thấy
Khách hàng có trình độ học vấn là PG có 770 khách hàng thuộc nhóm chi tiêu thấp cho rượu trong vòng 2 năm qua và 1189 khách hàng thuộc nhóm chi tiêu cao cho rượu trong vòng 2 năm qua.
Khách hàng có trình độc học vấn là UG có 157 khách hàng thuộc nhóm chi tiêu thấp cho rượu trong vòng 2 năm qua và 88 khách hàng trong thuộc nhóm chi tiêu cao cho rượu trong vòng 2 năm qua.
Chúng ta tính rủi ro tương đối (relative risk).
## Lệnh này tính relativerisk cho vị trí 12 và 22
library("DescTools")
RelRisk(ew)
## [1] 0.6133703
Theo kết quả trên cho thấy tỷ lệ rủi ro tương đối của khách hàng chi tiêu cao cho rượu là tính là 0,6133703, có nghĩa là tỷ lệ những khách hàng khách hàng chi tiêu cao cho rượu có trình độ học vấn là PG gấp 0,6133703 lần tỷ lệ những khách hàng khách hàng chi tiêu cao cho rượu có trình độ học vấn là UG.
## Câu lệnh này sẽ tính oddratio cho vị trí 11 và 21
OddsRatio(mw)
## [1] 1.001844
Theo kết quả trên cho thấy, tỷ lệ khách hàng có tình trạng hôn nhân là trong mối quan hệ và thuộc nhóm chi tiêu thấp cho rượu bằng 100,184% tỷ lệ khách hàng có tình trạng hôn nhân là độc thân và thuộc nhóm chi tiêu thấp cho rượu. Điều này có nghĩa là xác suất xảy ra sự kiện khách hàng trong mối quan hệ và thuộc nhóm chi tiêu thấp cho rượu nhiều hơn nhóm khách hàng độc thân và thuộc nhóm chi tiêu thấp cho rượu
## Câu lệnh này sẽ tính oddratio cho vị trí 11 và 21
OddsRatio(ew)
## [1] 0.3629877
Theo kết quả trên cho thấy, tỷ lệ khách hàng có trình độ học vấn là PG và thuộc nhóm chi tiêu thấp cho rượu bằng 38,95% tỷ lệ khách hàng có trình độ học vấn UG và thuộc nhóm chi tiêu thấp cho rượu. Điều này có nghĩa xác suất xảy ra trường hợp khách hàng có trình độ học vấn PG và thuộc nhóm chi tiêu thấp thấp hơn trường hợp khách hàng có trình độ học vấn UG và thuộc nhóm chi tiêu thấp.
Để xác định xem hai biến có độc lập hay không, kiểm định chi bình phương (chi-square test) sẽ được sử dụng để kiểm tra mối quan hệ giữa hai biến phân loại (categorical variables) trong một bảng tần số (frequency table).
Khi p-value nhỏ hơn mức ý nghĩa (0.05) trong kiểm định chi bình phương, ta kết luận rằng hai biến là phụ thuộc lẫn nhau, tức là không độc lập. Ngược lại, khi p-value lớn hơn mức ý nghĩa, ta không có đủ bằng chứng để bác bỏ giả thuyết không độc lập giữa hai biến.
Ta kiểm tra xem tình trạng hôn nhân có ảnh hưởng đến mức chi tiêu rượu của khách hàng trong vòng 2 năm qua hay không.
chisq.test(mw)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: mw
## X-squared = 0, df = 1, p-value = 1
Kết quả kiểm định p- value= 1 > 0,05. Như vậy, với mức ý nghĩa 5% ta không có đủ bằng chứng để bác bỏ giả thuyết không độc lập giữa tình trạng hôn nhân và mức chi tiêu cho rượu chủa khách hàng.
Ta kiểm tra xem trình độ học vấn có ảnh hưởng đến mức chi tiêu rượu của khách hàng trong vòng 2 năm qua hay không.
chisq.test(ew)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: ew
## X-squared = 53.841, df = 1, p-value = 2.174e-13
Kết quả kiểm định p- value= 0,000001468 < 0,05. Như vậy, với mức ý nghĩa 5% ta kết luận trình độ học vấn và mức chi tiêu rượu của khách hàng là phụ thuộc lẫn nhau.
Ta kiểm tra xem độ tuổi có ảnh hưởng đến mức chi tiêu rượu của khách hàng trong vòng 2 năm qua hay không.
chisq.test(aw)
##
## Pearson's Chi-squared test
##
## data: aw
## X-squared = 95.636, df = 3, p-value < 2.2e-16
Kết quả kiểm định p- value= 0,00000000000000022 < 0,05. Như vậy, với mức ý nghĩa 5% ta kết luận độ tuổi và mức chi tiêu rượu của khách hàng là phụ thuộc lẫn nhau.
ul.mw <- mw2[Marital_Status == "Relationship",]
prop.test(length(ul.mw$Marital_Status), length(Marital_Status), p = 0.3747)
##
## 1-sample proportions test with continuity correction
##
## data: length(ul.mw$Marital_Status) out of length(Marital_Status), null probability 0.3747
## X-squared = 697.19, df = 1, p-value < 2.2e-16
## alternative hypothesis: true p is not equal to 0.3747
## 95 percent confidence interval:
## 0.6260021 0.6662237
## sample estimates:
## p
## 0.646369
Với khoảng tin cậy 95% uớc lượng tỷ lệ khách hàng trong mối quan hệ thuộc nhóm chi tiêu cao cho rượu nằm trong khoảng từ 0,6260021 0,6662237
p-value > 0, chưa đủ cơ sở bác bỏ giả thuyết H0. Do đó tỷ lệ khách hàng trong mối quan hệ thuộc nhóm chi tiêu cao cho rượu bằng 37,47% với mức ý nghĩa 5%.
ul.mw2 <- mw2[Marital_Status == "Single",]
prop.test(length(ul.mw2$Marital_Status), length(Marital_Status), p = 0.2046)
##
## 1-sample proportions test with continuity correction
##
## data: length(ul.mw2$Marital_Status) out of length(Marital_Status), null probability 0.2046
## X-squared = 301.66, df = 1, p-value < 2.2e-16
## alternative hypothesis: true p is not equal to 0.2046
## 95 percent confidence interval:
## 0.3337763 0.3739979
## sample estimates:
## p
## 0.353631
Với khoảng tin cậy 95% uớc lượng tỷ lệ khách hàng độc thân thuộc nhóm chi tiêu cao cho rượu nằm trong khoảng từ 0,3337763 đến 0,3739979
p-value > 0, chưa đủ cơ sở bác bỏ giả thuyết H0. Do đó tỷ lệ tỷ lệ khách hàng trong mối quan hệ thuộc nhóm chi tiêu cao cho rượu bằng 20,46% với mức ý nghĩa 5%.
ul.m <- mw2[Marital_Status == "Relationship",]
ul.w<- mw2[Wines_segment == "Highly Active Customer",]
ul.m2 <- mw2[Marital_Status == "Single",]
a <- c(nrow(ul.m), nrow(ul.w))
b <- c(nrow(ul.m2), nrow(ul.w))
prop.test(b,a)
##
## 2-sample test for equality of proportions with continuity correction
##
## data: b out of a
## X-squared = 764.56, df = 1, p-value < 2.2e-16
## alternative hypothesis: two.sided
## 95 percent confidence interval:
## -0.4794052 -0.4263869
## sample estimates:
## prop 1 prop 2
## 0.547104 1.000000
P_value < 0, bác bỏ giả thuyết H0. Như vậy, có sự chênh lệnh giữa tỷ lệ khách hàng trong mối quan hệ và độc thân thuộc nhóm chi tiêu cao cho rượu.
Khoảng tin cậy 95% cho chênh lệch tỷ lệ nằm trong khoảng từ -0,4794052 đến -0,4263869.
Làm thống kê mô tả để phân tích cho ít nhất 5 biến (vừa định tính định lượng và có 2 biến đã chọn ở câu 2), nhận xét về kết quả phân tích này.
Income: Thu nhập hộ gia đình hàng năm của khách hàng (Đơn vị: Đô la Mỹ)
summary(df$Income)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1730 35303 51382 52247 68522 666666 1
Thống kê mô tẩ cho thấy thu nhập trung bình theo hộ gia đình của những khách hàng đến mua tại cửa hàng là $5224, người có thu nhập thấp nhất có mức $1730 , người có thu nhập cao nhất có mức thu nhập $666666. Có 25% hộ gia đình có thu nhập nhỏ hơn hoặc bằng mức $35303, 50% hộ có mức thu nhập nhỏ hơn hoặc bằng $51382 và 75% hộ có thu nhập nhỏ hơn hoặc bằng $68522.
summary(df$Income)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1730 35303 51382 52247 68522 666666 1
# Turn of scientific values
options(scipen = 999)
# Histogram
hist(df$Income, breaks = "FD", col = "navy", main = "Histogram of Income", xlab = "Income", ylab = "Frequency", xlim = c(1, 100000), ylim = c(1, 200))
Kidhome: Số con trong hộ gia đình khách hàng.
table(df$Kidhome)
##
## 0 1 2
## 1284 887 46
table(df$Kidhome)/sum(table(df$Kidhome))
##
## 0 1 2
## 0.57916103 0.40009021 0.02074876
Thống kê cho thấy số hộ gia đình không có con lên đến 1284 hộ chiếm tỷ lệ 57,92%, số hộ gia đình có 1 con là 887 hộ chiếm tỷ lệ 40,01%, số hộ gia đình có 2 con là 46 hộ chiếm tỷ lệ 2,07%.
kidhome_counts <- table(df$Kidhome)
library(ggplot2)
ggplot(df,aes(df$Kidhome))+
geom_bar(fill = "navy")+
geom_text(aes(label = scales::percent(after_stat(count/sum(count)))), stat = 'count', vjust = - .5, col = "blue") +
theme_minimal () +
labs(title = "Barplot of Kidhome", x = "Kidhome")
## Warning: Use of `df$Kidhome` is discouraged.
## ℹ Use `Kidhome` instead.
## Use of `df$Kidhome` is discouraged.
## ℹ Use `Kidhome` instead.
(Đơn vị: Đô la Mỹ)
MntWines: Số tiền chi cho rượu trong 2 năm qua
MntMeatProducts: Số tiền chi cho thịt trong 2 năm qua
MntFishProducts: Số tiền chi cho cá trong 2 năm qua
MntSweetProducts: Số tiền chi cho đồ ngọt trong 2 năm qua
Thống kê mô tả của các biến như sau:
products <- data.frame(df$MntWines, df$MntMeatProducts, df$MntFishProducts, df$MntSweetProducts)
pr <- summary(products)
pr
## df.MntWines df.MntMeatProducts df.MntFishProducts df.MntSweetProducts
## Min. : 0 Min. : 0.0 Min. : 0.00 Min. : 0.00
## 1st Qu.: 24 1st Qu.: 16.0 1st Qu.: 3.00 1st Qu.: 1.00
## Median : 174 Median : 68.0 Median : 12.00 Median : 8.00
## Mean : 305 Mean : 167.6 Mean : 37.63 Mean : 27.02
## 3rd Qu.: 505 3rd Qu.: 233.0 3rd Qu.: 50.00 3rd Qu.: 33.00
## Max. :1493 Max. :1725.0 Max. :259.00 Max. :262.00
Qua thống kê ta thấy:
Số tiền chi cho rượu của các hộ gia đình trong 2 năm qua trung bình là $305. Trong đó có những hộ gia đình không chi tiền cho rượu. Số tiền hộ gia đình chi cho rượu nhiều nhất trong mẫu là $1493. 25% hộ có mức chi tiền cho rượu nhỏ hơn hoặc bằng $24, 50% hộ có mức chi nhỏ hơn hoặc bằng $174 và 75% có mức chi nhỏ hơn hoặc bằng $505.
Số tiền chi cho các sản phẩm thịt của các hộ gia đình trong 2 năm qua trung bình là $167.6. Trong đó có những hộ gia đình không chi tiền cho thịt. Số tiền hộ gia đình chi cho thịt nhiều nhất trong mẫu là $1725.0. 25% hộ có mức chi tiền cho thịt nhỏ hơn hoặc bằng $16.0, 50% hộ có mức chi nhỏ hơn hoặc bằng $68.0 và 75% có mức chi nhỏ hơn hoặc bằng $233.0.
Số tiền chi cho các sản phẩm cá của các hộ gia đình trong 2 năm qua trung bình là $37.63. Trong đó có những hộ gia đình không chi tiền cho cá. Số tiền hộ gia đình chi cho cá nhiều nhất trong mẫu là $259.00. 25% hộ có mức chi tiền cho cá nhỏ hơn hoặc bằng $3.00, 50% hộ có mức chi nhỏ hơn hoặc bằng $12.00 và 75% có mức chi nhỏ hơn hoặc bằng $50.00.
Số tiền chi cho các sản phẩm đồ ngọt của các hộ gia đình trong 2 năm qua trung bình là $27.02. Trong đó có những hộ gia đình không chi tiền cho đồ ngọt. Số tiền hộ gia đình chi cho đồ ngọt nhiều nhất trong mẫu là $262.00. 25% hộ có mức chi tiền cho đồ ngọt nhỏ hơn hoặc bằng $1.00, 50% hộ có mức chi nhỏ hơn hoặc bằng $8.00 và 75% có mức chi nhỏ hơn hoặc bằng $33.00.
#Vẽ biểu đồ tròn 6 mặt hàng
column_names <- names(df[9:13])
product_counts <- colSums(df[9:13])
proportions <- product_counts/sum(product_counts)
pie(proportions, labels = column_names, main = "Pie Chart of 5 Products", col = rainbow(length(product_counts)))
Biến Marital_Status thể hiện Tình trạng hôn nhân của các khách hàng được khảo sát.
table(df$Marital_Status)
##
## Relationship Single
## 1433 784
Tình trạng hôn nhân của 2217 khách hàng được khảo sát như sau:
Tỷ lệ của các tình trạng trên được thể hiện như sau:
table(df$Marital_Status)
##
## Relationship Single
## 1433 784
library(ggplot2)
ggplot(df,aes(df$Marital_Status))+
geom_bar(fill = "navy")+
geom_text(aes(label = scales::percent(after_stat(count/sum(count)))), stat = 'count', vjust = - .5, col = "red") +
theme_minimal () +
labs(title = "Customer's marital status", x = "Marital Status")
## Warning: Use of `df$Marital_Status` is discouraged.
## ℹ Use `Marital_Status` instead.
## Use of `df$Marital_Status` is discouraged.
## ℹ Use `Marital_Status` instead.
Ta có thể thấy người đã kết hôn chiếm tỷ lệ cao nhất về tình trạng hôn nhân của khách hàng đến với cửa hàng này, tiếp theo sau đó lần lượt là chung sống, độc thân, đã ly thân và góa phụ.
table(df$Education)
##
## PG UG
## 1962 255
Qua biểu đồ ta có thể thấy số lượng khách hàng có tình trạng học vấn đã tốt nghiệp chiếm tỷ lệ cao nhất trong nhóm khảo sát chiếm 50,3%
table(df$Education)
##
## PG UG
## 1962 255
library(ggplot2)
ggplot(df,aes(df$Education))+
geom_bar(fill = "navy")+
geom_text(aes(label = scales::percent(after_stat(count/sum(count)))), stat = 'count', vjust = - .5, col = "red") +
theme_minimal () +
labs(title = "Customer's Education", x = "Education")
## Warning: Use of `df$Education` is discouraged.
## ℹ Use `Education` instead.
## Use of `df$Education` is discouraged.
## ℹ Use `Education` instead.
##
3.3 Chuyển đổi dữ liệu định tính
Nhóm “Married”, “Together” sẽ được xem là “Relationship”. Trong khi “Divorced”, “Widow”, “Single” trở thành “Single”
# Chuyển đổi biến Marital_Status
df$Marital_Status <- gsub("Married|Together", "Relationship", df$Marital_Status)
df$Marital_Status <- gsub("Divorced|Widow|Single", "Single", df$Marital_Status)
Marital_Status <- df$Marital_Status
Nhóm “PhD”, “Graduation” và “Master” trở thành “PG”. Nhóm “Basic” và “2n Cycle” trở thành “UG
# Chuyển đổi biến Education
df$Education <- gsub("PhD|Graduation|Master", "PG", df$Education)
df$Education <- gsub("Basic|2n Cycle", "UG", df$Education)
Education <- df$Education
# Create Kids
Kids <- df$Kidhome + df$Teenhome
product_data <- list()
for (i in 1:length(df)) {
productdata <- c(df$MntWines[i], df$MntMeatProducts[i], df$MntFishProducts[i],
df$MntSweetProducts[i], df$MntGoldProds[i])
product_data <- c(product_data, list(productdata))
}
Products_DF <- data.frame(matrix(unlist(product_data), nrow=length(product_data), byrow=TRUE))
colnames(Products_DF) <- c('Wines', 'Meat', 'Fish', 'Sweets', 'Gold')
head(Products_DF)
## Wines Meat Fish Sweets Gold
## 1 635 546 172 88 88
## 2 11 6 2 1 6
## 3 426 127 111 21 42
## 4 11 20 10 3 5
## 5 173 118 46 27 15
## 6 520 98 0 42 14
library(dplyr)
#Create Age segment
Age <- 2023 - df$Year_Birth
cut_labels_Age <- c("Young", "Adult", "Mature", "Senior")
cut_bins <- c(0, 30, 45, 65, 120)
Age_segment <- cut(Age, breaks=cut_bins, labels=cut_labels_Age)
#Create Wines segment
cut_labels <- c('Least Active Customer', 'Highly Active Customer')
cut_bins <- c(0, 100, 1500)
Wines_segment <- cut(df$MntWines, breaks=cut_bins, labels=cut_labels)
Chọn 1 hoặc 2 biến định tính và 1 biến định lượng làm biến phụ thuộc để phân tích, giải thích lý do.
Giống như bất kỳ hành vi nào của người khác, hành vi mua hàng của người tiêu dùng có thể được xác định bởi nhiều yếu tố. Các công ty này không tìm cách bán hàng mà hướng tới sự hài lòng lâu dài của người tiêu dùng bằng cách cung cấp các sản phẩm có chất lượng cao với mục tiêu tồn tại lâu dài và liên tục của chính họ (Haghshenas et al. 2013).
Hiểu hành vi mua của người tiêu dùng là một yếu tố quan trọng của bất kỳ hoạt động kinh doanh nào. Trong một nền kinh tế định hướng tiếp thị, hành vi mua của người tiêu dùng là một yếu tố rất quan trọng trong sự thành công của doanh nghiệp. Vì vậy, đã có rất nhiều nghiên cứu, công trình nghiên cứu tập trung vào hiện tượng này. Nhiều yếu tố và đặc điểm khác nhau có tác động tích cực hoặc tiêu cực đến hành vi mua hàng của người tiêu dùng.
Nghiên cứu và hiểu các yếu tố này góp phần hiểu rõ hơn về hành vi của người tiêu dùng. Các đặc điểm cá nhân và nhân khẩu xã hội như tuổi tác, lối sống, nghề nghiệp và nhiều yếu tố khác ảnh hưởng đáng kể đến hành vi mua hàng của người tiêu dùng. Vì vậy bài viết này đặc biệt tập trung tìm hiểu các yếu tố như tình trạng hôn nhân, thu nhập và số con trong hộ gia đình để xem chúng có ảnh hưởng như thế nào đến hành vi mua hàng của người tiêu dùng.
Bộ dữ liệu được thu thập từ bài nghiên cứu “Consumer Buying Behavior Analysis” có địa chỉ: https://www.kaggle.com/code/aradhanapratap/consumer-buying-behavior-analysis/notebook từ trang Kaggle.com.
Đây là bộ dữ liệu thu thập thông tin về người tiêu dùng như: Độ tuổi, giới tính, tình trạng hôn nhân, thu nhập… và thói quen mua hàng của họ dựa trên số tiền chi cho các sản phẩm về rượu, thịt, cá, đồ ngọt… Qua đó giúp doanh nghiệp hiểu rõ hơn về khách hàng của mình và dễ dàng điều chỉnh sản phẩm tùy theo nhu cầu, hành vi và mối quan tâm cụ thể của các nhóm đối tượng khách hàng khác nhau.
Xét theo đặc điểm, các biến được chia thành 2 nhóm, gồm: nhóm thông tin về khách hang và nhóm thông tin về sản phẩm được chọn mua. Các biến được đặt tên như sau:
Nhóm Khách hàng
ID: Định danh duy nhất của khách hàng
Year_Birth: Năm sinh của khách hàng
Education: Trình độ học vấn của khách hàng
Marital_Status: Tình trạng hôn nhân của khách hàng
Income: Thu nhập hộ gia đình hàng năm của khách hàng (Đơn vị: Đô la Mỹ)
Kidhome: Số con trong hộ gia đình khách hàng
Teenhome: Số lượng thanh thiếu niên trong hộ gia đình khách hàng
Recency: Số ngày kể từ lần mua cuối cùng của khách hàng.
Nhóm Các sản phẩm (Đơn vị: Đô la Mỹ)
MntWines: Số tiền chi cho rượu trong 2 năm qua
MntMeatProuducts: Số tiền chi cho thịt trong 2 năm qua
MntFishProducts: Số tiền chi cho cá trong 2 năm qua
MntSweetProducts: Số tiền chi cho đồ ngọt trong 2 năm qua
library(kableExtra)
##
## Attaching package: 'kableExtra'
## The following object is masked from 'package:dplyr':
##
## group_rows
library(knitr)
df <- read.csv("C:/Users/MSII/Downloads/vlvy_marketing_dataset (1).csv ")
knitr::kable(df, format = "html") %>%
kable_styling(full_width = TRUE) %>%
scroll_box(width = "100%", height = "300px")
| ID | Year_Birth | Education | Marital_Status | Income | Kidhome | Teenhome | Recency | MntWines | MntMeatProducts | MntFishProducts | MntSweetProducts | MntGoldProds |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 5524 | 1957 | Graduation | Single | 58138 | 0 | 0 | 58 | 635 | 546 | 172 | 88 | 88 |
| 2174 | 1954 | Graduation | Single | 46344 | 1 | 1 | 38 | 11 | 6 | 2 | 1 | 6 |
| 4141 | 1965 | Graduation | Together | 71613 | 0 | 0 | 26 | 426 | 127 | 111 | 21 | 42 |
| 6182 | 1984 | Graduation | Together | 26646 | 1 | 0 | 26 | 11 | 20 | 10 | 3 | 5 |
| 5324 | 1981 | PhD | Married | 58293 | 1 | 0 | 94 | 173 | 118 | 46 | 27 | 15 |
| 7446 | 1967 | Master | Together | 62513 | 0 | 1 | 16 | 520 | 98 | 0 | 42 | 14 |
| 965 | 1971 | Graduation | Divorced | 55635 | 0 | 1 | 34 | 235 | 164 | 50 | 49 | 27 |
| 6177 | 1985 | PhD | Married | 33454 | 1 | 0 | 32 | 76 | 56 | 3 | 1 | 23 |
| 4855 | 1974 | PhD | Together | 30351 | 1 | 0 | 19 | 14 | 24 | 3 | 3 | 2 |
| 5899 | 1950 | PhD | Together | 5648 | 1 | 1 | 68 | 28 | 6 | 1 | 1 | 13 |
| 387 | 1976 | Basic | Married | 7500 | 0 | 0 | 59 | 6 | 11 | 11 | 1 | 16 |
| 2125 | 1959 | Graduation | Divorced | 63033 | 0 | 0 | 82 | 194 | 480 | 225 | 112 | 30 |
| 8180 | 1952 | Master | Divorced | 59354 | 1 | 1 | 53 | 233 | 53 | 3 | 5 | 14 |
| 2569 | 1987 | Graduation | Married | 17323 | 0 | 0 | 38 | 3 | 17 | 6 | 1 | 5 |
| 2114 | 1946 | PhD | Single | 82800 | 0 | 0 | 23 | 1006 | 115 | 59 | 68 | 45 |
| 9736 | 1980 | Graduation | Married | 41850 | 1 | 1 | 51 | 53 | 19 | 2 | 13 | 4 |
| 4939 | 1946 | Graduation | Together | 37760 | 0 | 0 | 20 | 84 | 38 | 150 | 12 | 28 |
| 6565 | 1949 | Master | Married | 76995 | 0 | 1 | 91 | 1012 | 498 | 0 | 16 | 176 |
| 2278 | 1985 | 2n Cycle | Single | 33812 | 1 | 0 | 86 | 4 | 19 | 30 | 24 | 39 |
| 9360 | 1982 | Graduation | Married | 37040 | 0 | 0 | 41 | 86 | 73 | 69 | 38 | 48 |
| 5376 | 1979 | Graduation | Married | 2447 | 1 | 0 | 42 | 1 | 1725 | 1 | 1 | 1 |
| 1993 | 1949 | PhD | Married | 58607 | 0 | 1 | 63 | 867 | 86 | 0 | 0 | 19 |
| 4047 | 1954 | PhD | Married | 65324 | 0 | 1 | 0 | 384 | 102 | 21 | 32 | 5 |
| 1409 | 1951 | Graduation | Together | 40689 | 0 | 1 | 69 | 270 | 27 | 39 | 6 | 99 |
| 7892 | 1969 | Graduation | Single | 18589 | 0 | 0 | 89 | 6 | 25 | 15 | 12 | 13 |
| 2404 | 1976 | Graduation | Married | 53359 | 1 | 1 | 4 | 173 | 30 | 3 | 6 | 41 |
| 9422 | 1989 | Graduation | Married | 38360 | 1 | 0 | 26 | 36 | 42 | 20 | 21 | 10 |
| 1966 | 1965 | PhD | Married | 84618 | 0 | 0 | 96 | 684 | 801 | 21 | 66 | 0 |
| 6864 | 1989 | Master | Divorced | 10979 | 0 | 0 | 34 | 8 | 10 | 2 | 2 | 4 |
| 3033 | 1963 | Master | Together | 38620 | 0 | 0 | 56 | 112 | 44 | 34 | 22 | 89 |
| 5710 | 1970 | Graduation | Together | 40548 | 0 | 1 | 31 | 110 | 5 | 2 | 0 | 3 |
| 7373 | 1952 | PhD | Divorced | 46610 | 0 | 2 | 8 | 96 | 96 | 33 | 22 | 43 |
| 8755 | 1946 | Master | Married | 68657 | 0 | 0 | 4 | 482 | 471 | 119 | 68 | 22 |
| 10738 | 1951 | Master | Single | 49389 | 1 | 1 | 55 | 40 | 19 | 2 | 1 | 3 |
| 4339 | 1970 | PhD | Married | 67353 | 0 | 1 | 37 | 702 | 151 | 0 | 8 | 35 |
| 10755 | 1976 | 2n Cycle | Married | 23718 | 1 | 0 | 76 | 6 | 14 | 15 | 7 | 36 |
| 8595 | 1973 | Graduation | Widow | 42429 | 0 | 1 | 99 | 55 | 6 | 2 | 0 | 4 |
| 2968 | 1943 | PhD | Divorced | 48948 | 0 | 0 | 53 | 437 | 206 | 160 | 49 | 42 |
| 8601 | 1980 | Graduation | Married | 80011 | 0 | 1 | 3 | 421 | 536 | 82 | 178 | 102 |
| 503 | 1985 | Master | Married | 20559 | 1 | 0 | 88 | 13 | 29 | 3 | 0 | 7 |
| 8430 | 1957 | Graduation | Together | 21994 | 0 | 1 | 4 | 9 | 6 | 3 | 1 | 3 |
| 2139 | 1975 | Master | Married | 7500 | 1 | 0 | 19 | 3 | 10 | 3 | 2 | 12 |
| 1371 | 1976 | Graduation | Single | 79941 | 0 | 0 | 72 | 123 | 266 | 227 | 30 | 174 |
| 9909 | 1996 | 2n Cycle | Married | 7500 | 0 | 0 | 24 | 3 | 14 | 15 | 22 | 50 |
| 7286 | 1968 | Graduation | Together | 41728 | 1 | 0 | 92 | 13 | 15 | 3 | 5 | 13 |
| 6566 | 1954 | PhD | Married | 72550 | 1 | 1 | 39 | 826 | 317 | 50 | 38 | 38 |
| 8614 | 1957 | Graduation | Widow | 65486 | 0 | 1 | 29 | 245 | 125 | 37 | 67 | 14 |
| 4114 | 1964 | Master | Married | 79143 | 0 | 0 | 2 | 650 | 780 | 27 | 167 | 32 |
| 1331 | 1977 | Graduation | Single | 35790 | 1 | 0 | 54 | 12 | 20 | 30 | 1 | 3 |
| 2225 | 1977 | Graduation | Divorced | 82582 | 0 | 0 | 54 | 510 | 550 | 156 | 40 | 241 |
| 9381 | 1978 | Graduation | Married | 66373 | 1 | 1 | 57 | 328 | 124 | 12 | 24 | 109 |
| 6260 | 1955 | Master | Together | 82384 | 0 | 0 | 55 | 984 | 432 | 180 | 120 | 190 |
| 10383 | 1966 | Graduation | Divorced | 70287 | 0 | 0 | 30 | 295 | 482 | 121 | 120 | 40 |
| 7437 | 1988 | Graduation | Single | 27938 | 1 | 0 | 31 | 13 | 8 | 2 | 1 | 5 |
| 8375 | 1968 | PhD | Married | 55954 | 0 | 1 | 63 | 447 | 28 | 0 | 0 | 43 |
| 6853 | 1982 | Master | Single | 75777 | 0 | 0 | 12 | 712 | 538 | 69 | 13 | 80 |
| 3076 | 1975 | Graduation | Together | 66653 | 1 | 1 | 18 | 452 | 102 | 16 | 18 | 6 |
| 1012 | 1952 | Graduation | Single | 61823 | 0 | 1 | 26 | 523 | 134 | 37 | 14 | 169 |
| 6518 | 1951 | PhD | Widow | 67680 | 0 | 1 | 8 | 546 | 48 | 0 | 6 | 6 |
| 4137 | 1948 | Graduation | Together | 70666 | 0 | 0 | 29 | 398 | 367 | 119 | 122 | 30 |
| 8082 | 1971 | Graduation | Married | 25721 | 1 | 0 | 75 | 1 | 6 | 3 | 6 | 15 |
| 1386 | 1967 | Graduation | Together | 32474 | 1 | 1 | 0 | 10 | 1 | 0 | 0 | 0 |
| 9369 | 1979 | 2n Cycle | Single | 88194 | 0 | 1 | 19 | 688 | 309 | 201 | 24 | 38 |
| 4477 | 1958 | Graduation | Together | 69096 | 0 | 1 | 4 | 247 | 159 | 7 | 82 | 109 |
| 1357 | 1970 | Graduation | Together | 74854 | 1 | 2 | 90 | 856 | 487 | 58 | 29 | 73 |
| 1402 | 1954 | Master | Married | 66991 | 0 | 0 | 1 | 496 | 460 | 189 | 60 | 12 |
| 6312 | 1959 | Graduation | Married | 65031 | 0 | 1 | 29 | 258 | 291 | 84 | 37 | 86 |
| 8132 | 1975 | PhD | Married | 60631 | 1 | 1 | 88 | 565 | 65 | 0 | 6 | 19 |
| 1050 | 1952 | Graduation | Married | 28332 | 0 | 0 | 58 | 14 | 13 | 4 | 15 | 9 |
| 5846 | 1977 | Graduation | Divorced | 40246 | 1 | 0 | 68 | 2 | 6 | 2 | 1 | 1 |
| 1859 | 1972 | Master | Married | 75251 | 0 | 0 | 34 | 721 | 925 | 97 | 18 | 18 |
| 7503 | 1976 | Graduation | Single | 75825 | 0 | 0 | 40 | 1032 | 779 | 137 | 105 | 51 |
| 10401 | 1976 | 2n Cycle | Together | 26326 | 0 | 0 | 12 | 1 | 5 | 0 | 3 | 9 |
| 1618 | 1965 | Graduation | Together | 56046 | 0 | 0 | 9 | 577 | 64 | 0 | 0 | 51 |
| 3332 | 1985 | Graduation | Single | 29760 | 1 | 0 | 87 | 64 | 68 | 7 | 5 | 17 |
| 2261 | 1969 | Graduation | Married | 26304 | 1 | 0 | 5 | 4 | 5 | 2 | 0 | 4 |
| 5346 | 1973 | 2n Cycle | Married | 23559 | 1 | 0 | 87 | 25 | 19 | 7 | 0 | 23 |
| 4119 | 1963 | Master | Together | 38620 | 0 | 0 | 56 | 112 | 44 | 34 | 22 | 89 |
| 535 | 1987 | Graduation | Divorced | 81361 | 0 | 0 | 18 | 163 | 424 | 27 | 65 | 76 |
| 5268 | 1960 | Graduation | Married | 29440 | 1 | 1 | 95 | 17 | 14 | 10 | 4 | 3 |
| 273 | 1970 | Master | Married | 36138 | 1 | 1 | 48 | 130 | 16 | 0 | 0 | 5 |
| 4452 | 1957 | Graduation | Single | 50388 | 0 | 1 | 3 | 292 | 37 | 0 | 3 | 34 |
| 8504 | 1973 | Graduation | Married | 79593 | 0 | 0 | 70 | 350 | 568 | 110 | 133 | 145 |
| 771 | 1967 | Graduation | Together | 54178 | 0 | 1 | 79 | 135 | 39 | 4 | 0 | 7 |
| 11178 | 1972 | Master | Single | 42394 | 1 | 0 | 69 | 15 | 10 | 0 | 1 | 4 |
| 2230 | 1970 | PhD | Married | 23626 | 1 | 0 | 84 | 27 | 14 | 0 | 0 | 0 |
| 7516 | 1983 | Graduation | Married | 30096 | 1 | 0 | 30 | 5 | 11 | 12 | 5 | 9 |
| 7247 | 1960 | Graduation | Widow | 47916 | 0 | 1 | 72 | 505 | 26 | 0 | 0 | 75 |
| 11100 | 1972 | Graduation | Divorced | 51813 | 1 | 1 | 37 | 51 | 7 | 0 | 1 | 2 |
| 4646 | 1951 | 2n Cycle | Married | 78497 | 0 | 0 | 44 | 207 | 447 | 75 | 0 | 223 |
| 3037 | 1983 | PhD | Married | 50150 | 0 | 0 | 32 | 135 | 92 | 65 | 61 | 11 |
| 1473 | 1960 | 2n Cycle | Single | 47823 | 0 | 1 | 0 | 53 | 5 | 2 | 1 | 10 |
| 1016 | 1959 | PhD | Single | 34554 | 0 | 1 | 43 | 41 | 6 | 2 | 0 | 5 |
| 4518 | 1979 | Graduation | Together | 85693 | 0 | 1 | 59 | 386 | 183 | 185 | 132 | 111 |
| 9370 | 1945 | PhD | Married | 65846 | 0 | 0 | 68 | 562 | 276 | 80 | 40 | 81 |
| 8908 | 1959 | Graduation | Married | 87195 | 0 | 0 | 35 | 217 | 690 | 50 | 26 | 38 |
| 8373 | 1979 | Basic | Together | 24594 | 1 | 0 | 94 | 1 | 6 | 10 | 0 | 9 |
| 7533 | 1964 | Graduation | Married | 49096 | 1 | 1 | 15 | 144 | 32 | 2 | 1 | 7 |
| 2683 | 1969 | Graduation | Married | 52413 | 0 | 2 | 56 | 295 | 271 | 75 | 98 | 65 |
| 3629 | 1978 | Graduation | Single | 38557 | 1 | 0 | 17 | 76 | 31 | 4 | 4 | 27 |
| 10991 | 1960 | Master | Married | 89058 | 0 | 0 | 18 | 454 | 106 | 31 | 22 | 43 |
| 5077 | 1979 | Graduation | Together | 77298 | 0 | 1 | 46 | 425 | 292 | 23 | 35 | 79 |
| 7431 | 1991 | PhD | Single | 68126 | 0 | 0 | 40 | 1332 | 311 | 23 | 51 | 86 |
| 3267 | 1963 | Master | Together | 57288 | 0 | 1 | 27 | 527 | 21 | 0 | 0 | 60 |
| 999 | 1991 | Graduation | Single | 86037 | 0 | 0 | 95 | 490 | 125 | 29 | 20 | 22 |
| 9215 | 1980 | PhD | Married | 43974 | 1 | 0 | 19 | 378 | 101 | 0 | 0 | 72 |
| 2286 | 1962 | Graduation | Single | 50785 | 1 | 1 | 27 | 64 | 21 | 0 | 1 | 27 |
| 1592 | 1970 | Graduation | Married | 90765 | 0 | 0 | 25 | 547 | 812 | 151 | 82 | 33 |
| 367 | 1978 | 2n Cycle | Married | 36550 | 1 | 0 | 74 | 47 | 94 | 123 | 103 | 120 |
| 5234 | 1967 | 2n Cycle | Together | 30753 | 1 | 1 | 85 | 12 | 25 | 0 | 9 | 30 |
| 9862 | 1969 | Graduation | Together | 21918 | 1 | 0 | 37 | 1 | 7 | 11 | 5 | 3 |
| 9805 | 1953 | Master | Together | 56129 | 0 | 1 | 65 | 320 | 133 | 39 | 72 | 48 |
| 6205 | 1967 | Master | Single | 32557 | 1 | 0 | 13 | 34 | 29 | 0 | 4 | 10 |
| 8442 | 1985 | Master | Married | 19510 | 2 | 0 | 63 | 9 | 7 | 3 | 4 | 7 |
| 7386 | 1976 | Graduation | Divorced | 30992 | 1 | 0 | 83 | 17 | 14 | 7 | 3 | 2 |
| 7215 | 1983 | Graduation | Single | 101970 | 0 | 0 | 69 | 722 | 102 | 44 | 72 | 168 |
| 1491 | 1965 | 2n Cycle | Together | 71488 | 0 | 0 | 87 | 162 | 124 | 40 | 28 | 172 |
| 11071 | 1984 | Graduation | Single | 79607 | 0 | 0 | 37 | 450 | 951 | 173 | 0 | 216 |
| 3381 | 1953 | Master | Married | 54348 | 1 | 1 | 51 | 70 | 16 | 0 | 0 | 4 |
| 11051 | 1956 | PhD | Together | 77376 | 1 | 1 | 72 | 492 | 110 | 16 | 12 | 12 |
| 8026 | 1952 | Graduation | Married | 62998 | 0 | 1 | 10 | 120 | 73 | 65 | 89 | 58 |
| 433 | 1958 | Master | Single | 61331 | 1 | 1 | 42 | 534 | 47 | 0 | 5 | 41 |
| 9597 | 1969 | Graduation | Married | 73448 | 0 | 0 | 10 | 236 | 189 | 23 | 41 | 130 |
| 5290 | 1964 | PhD | Married | 41551 | 1 | 1 | 51 | 220 | 33 | 3 | 0 | 23 |
| 1685 | 1967 | PhD | Together | 62981 | 0 | 0 | 21 | 796 | 590 | 38 | 44 | 0 |
| 5342 | 1976 | Basic | Divorced | 9548 | 1 | 0 | 31 | 0 | 3 | 10 | 6 | 9 |
| 9579 | 1959 | PhD | Married | 33762 | 2 | 1 | 61 | 53 | 34 | 2 | 0 | 16 |
| 7660 | 1973 | PhD | Single | 35860 | 1 | 1 | 37 | 15 | 8 | 4 | 2 | 20 |
| 1461 | 1965 | PhD | Divorced | 36921 | 1 | 1 | 74 | 17 | 12 | 3 | 1 | 4 |
| 821 | 1992 | Master | Single | 92859 | 0 | 0 | 46 | 962 | 921 | 52 | 61 | 20 |
| 11084 | 1976 | Master | Together | 65104 | 0 | 1 | 4 | 738 | 232 | 13 | 20 | 50 |
| 8690 | 1962 | Graduation | Married | 86111 | 0 | 0 | 73 | 399 | 756 | 36 | 40 | 126 |
| 2937 | 1974 | PhD | Single | 68352 | 0 | 1 | 47 | 614 | 132 | 43 | 33 | 33 |
| 9701 | 1988 | Graduation | Together | 41883 | 1 | 0 | 13 | 32 | 41 | 73 | 16 | 116 |
| 9949 | 1976 | Graduation | Married | 59809 | 0 | 2 | 36 | 598 | 141 | 32 | 41 | 49 |
| 10837 | 1975 | Graduation | Married | 23957 | 1 | 0 | 47 | 2 | 18 | 20 | 11 | 16 |
| 3120 | 1981 | Graduation | Together | 38547 | 1 | 0 | 49 | 6 | 10 | 0 | 1 | 4 |
| 5885 | 1973 | 2n Cycle | Married | 35688 | 2 | 1 | 94 | 73 | 90 | 12 | 1 | 32 |
| 4050 | 1966 | Master | Married | 49605 | 0 | 0 | 65 | 42 | 29 | 12 | 20 | 8 |
| 3830 | 1953 | Master | Married | 59354 | 0 | 2 | 59 | 295 | 78 | 39 | 13 | 13 |
| 7987 | 1969 | Graduation | Married | 65747 | 0 | 1 | 96 | 346 | 48 | 23 | 13 | 13 |
| 7798 | 1972 | 2n Cycle | Together | 46344 | 0 | 1 | 28 | 233 | 57 | 8 | 20 | 91 |
| 92 | 1988 | Graduation | Single | 34176 | 1 | 0 | 12 | 5 | 24 | 19 | 14 | 20 |
| 7055 | 1952 | PhD | Together | 61010 | 0 | 1 | 57 | 888 | 57 | 0 | 0 | 76 |
| 10240 | 1949 | Graduation | Together | 69372 | 0 | 0 | 10 | 997 | 269 | 34 | 13 | 42 |
| 3025 | 1958 | Graduation | Single | 49967 | 0 | 1 | 4 | 212 | 69 | 4 | 12 | 3 |
| 9283 | 1978 | Graduation | Single | 60199 | 1 | 2 | 49 | 8 | 7 | 2 | 0 | 0 |
| 9970 | 1977 | Graduation | Together | 55375 | 0 | 1 | 3 | 42 | 57 | 10 | 28 | 14 |
| 2730 | 1955 | Graduation | Single | 80317 | 0 | 0 | 64 | 536 | 387 | 149 | 91 | 57 |
| 2795 | 1958 | Master | Single | 30523 | 2 | 1 | 0 | 5 | 3 | 0 | 0 | 5 |
| 9260 | 1945 | PhD | Married | 70356 | 0 | 0 | 20 | 1349 | 249 | 43 | 16 | 33 |
| 8182 | 1984 | Graduation | Married | 23228 | 1 | 0 | 91 | 53 | 49 | 7 | 4 | 5 |
| 10095 | 1975 | PhD | Divorced | 74165 | 0 | 0 | 9 | 1001 | 240 | 16 | 12 | 12 |
| 8475 | 1973 | PhD | Married | 157243 | 0 | 1 | 98 | 20 | 1582 | 1 | 2 | 1 |
| 4370 | 1966 | Graduation | Together | 43482 | 2 | 1 | 83 | 18 | 32 | 6 | 3 | 28 |
| 10573 | 1953 | Graduation | Divorced | 62551 | 0 | 0 | 27 | 125 | 98 | 134 | 21 | 27 |
| 3712 | 1959 | Graduation | Divorced | 52332 | 0 | 0 | 63 | 212 | 33 | 7 | 0 | 2 |
| 6637 | 1988 | Graduation | Single | 66951 | 0 | 0 | 46 | 277 | 305 | 173 | 76 | 124 |
| 3152 | 1957 | Graduation | Together | 26091 | 1 | 1 | 84 | 15 | 19 | 8 | 17 | 20 |
| 5610 | 1965 | Graduation | Together | 33456 | 1 | 1 | 58 | 7 | 10 | 8 | 1 | 7 |
| 6460 | 1982 | Graduation | Married | 28718 | 1 | 0 | 78 | 12 | 6 | 11 | 8 | 16 |
| 1349 | 1970 | Graduation | Married | 50447 | 2 | 0 | 4 | 85 | 24 | 2 | 3 | 27 |
| 1880 | 1959 | PhD | Together | 53537 | 1 | 1 | 17 | 81 | 6 | 0 | 0 | 6 |
| 641 | 1967 | Graduation | Single | 52074 | 0 | 1 | 77 | 59 | 12 | 0 | 0 | 48 |
| 8717 | 1975 | PhD | Married | 80427 | 0 | 1 | 56 | 1149 | 449 | 69 | 71 | 26 |
| 10314 | 1948 | PhD | Married | 83837 | 0 | 0 | 79 | 847 | 119 | 86 | 89 | 111 |
| 10854 | 1970 | PhD | Married | 38853 | 1 | 1 | 90 | 29 | 14 | 0 | 0 | 2 |
| 10492 | 1959 | Graduation | Together | 38285 | 2 | 1 | 96 | 2 | 5 | 2 | 0 | 1 |
| 6935 | 1951 | 2n Cycle | Married | 78497 | 0 | 0 | 44 | 207 | 447 | 75 | 0 | 223 |
| 7698 | 1976 | PhD | Married | 51650 | 0 | 1 | 81 | 152 | 22 | 2 | 5 | 7 |
| 3559 | 1988 | 2n Cycle | Married | 16248 | 1 | 0 | 77 | 12 | 10 | 3 | 12 | 9 |
| 10562 | 1946 | Master | Married | 66835 | 0 | 0 | 21 | 620 | 195 | 34 | 17 | 141 |
| 10796 | 1984 | Master | Married | 30477 | 1 | 0 | 16 | 47 | 6 | 0 | 0 | 12 |
| 2563 | 1961 | Basic | Married | 28249 | 0 | 0 | 80 | 1 | 7 | 2 | 14 | 10 |
| 3518 | 1983 | Graduation | Married | 25271 | 1 | 0 | 45 | 10 | 18 | 10 | 4 | 7 |
| 5823 | 1970 | PhD | Single | 32303 | 0 | 1 | 63 | 35 | 2 | 0 | 0 | 2 |
| 3934 | 1966 | Graduation | Married | 61286 | 0 | 1 | 34 | 356 | 107 | 19 | 9 | 117 |
| 6982 | 1976 | Graduation | Married | 74068 | 0 | 0 | 14 | 783 | 537 | 140 | 76 | 15 |
| 6431 | 1964 | PhD | Married | 45759 | 1 | 1 | 13 | 42 | 18 | 3 | 0 | 4 |
| 9733 | 1978 | Basic | Together | 24882 | 1 | 0 | 52 | 1 | 10 | 29 | 0 | 36 |
| 5602 | 1989 | PhD | Together | 66973 | 0 | 0 | 98 | 466 | 432 | 147 | 113 | 102 |
| 7829 | 1900 | 2n Cycle | Divorced | 36640 | 1 | 0 | 99 | 15 | 8 | 7 | 4 | 25 |
| 1324 | 1988 | Graduation | Married | 38872 | 1 | 0 | 93 | 23 | 21 | 3 | 19 | 22 |
| 326 | 1973 | Graduation | Married | 51148 | 1 | 1 | 38 | 235 | 45 | 8 | 9 | 12 |
| 7224 | 1977 | Graduation | Married | 31353 | 1 | 1 | 24 | 10 | 10 | 3 | 1 | 7 |
| 6999 | 1980 | Master | Married | 69661 | 0 | 0 | 80 | 656 | 106 | 32 | 16 | 8 |
| 9938 | 1954 | Graduation | Married | 80067 | 0 | 0 | 82 | 519 | 813 | 27 | 173 | 51 |
| 6422 | 1954 | Graduation | Married | 86718 | 0 | 0 | 20 | 344 | 482 | 50 | 33 | 172 |
| 3182 | 1973 | PhD | Single | 46854 | 1 | 1 | 81 | 96 | 79 | 7 | 1 | 79 |
| 7300 | 1952 | Graduation | Divorced | 69142 | 0 | 1 | 50 | 448 | 34 | 6 | 4 | 39 |
| 10424 | 1968 | Graduation | Single | 75922 | 0 | 0 | 60 | 265 | 553 | 224 | 23 | 92 |
| 8727 | 1978 | Graduation | Divorced | 63693 | 0 | 1 | 63 | 587 | 337 | 42 | 87 | 54 |
| 2798 | 1977 | PhD | Together | 102160 | 0 | 0 | 54 | 763 | 138 | 76 | 176 | 58 |
| 1030 | 1965 | PhD | Single | 40637 | 1 | 1 | 72 | 22 | 13 | 0 | 0 | 3 |
| 624 | 1984 | Master | Single | 18890 | 0 | 0 | 5 | 6 | 1 | 7 | 2 | 15 |
| 5176 | 1988 | Graduation | Together | 29604 | 1 | 0 | 88 | 7 | 13 | 7 | 6 | 14 |
| 5552 | 1963 | Master | Divorced | 48721 | 1 | 1 | 50 | 81 | 113 | 47 | 13 | 21 |
| 868 | 1966 | Graduation | Married | 44794 | 0 | 1 | 99 | 54 | 7 | 0 | 0 | 4 |
| 380 | 1954 | Graduation | Divorced | 64497 | 0 | 1 | 17 | 1170 | 320 | 42 | 32 | 192 |
| 2677 | 1956 | Graduation | Together | 46097 | 0 | 1 | 11 | 72 | 68 | 65 | 4 | 8 |
| 6521 | 1954 | Graduation | Together | 77972 | 0 | 0 | 18 | 613 | 319 | 33 | 102 | 12 |
| 6927 | 1968 | PhD | Married | 44377 | 1 | 1 | 70 | 224 | 30 | 0 | 0 | 10 |
| 2877 | 1974 | Master | Together | 46014 | 1 | 1 | 21 | 410 | 59 | 19 | 9 | 44 |
| 0 | 1985 | Graduation | Married | 70951 | 0 | 0 | 66 | 239 | 554 | 254 | 87 | 54 |
| 1584 | 1977 | Graduation | Married | 41443 | 1 | 0 | 79 | 171 | 171 | 25 | 19 | 89 |
| 7264 | 1978 | 2n Cycle | Single | 52195 | 2 | 1 | 2 | 12 | 4 | 0 | 0 | 1 |
| 6274 | 1948 | Master | Married | 83790 | 0 | 0 | 81 | 1076 | 417 | 42 | 48 | 16 |
| 1377 | 1954 | Master | Widow | 44551 | 0 | 1 | 24 | 182 | 33 | 0 | 0 | 66 |
| 454 | 1980 | Graduation | Together | 69508 | 1 | 0 | 48 | 824 | 162 | 42 | 32 | 43 |
| 1755 | 1988 | 2n Cycle | Together | 45204 | 1 | 0 | 93 | 30 | 25 | 29 | 1 | 18 |
| 2075 | 1969 | Graduation | Married | 72460 | 0 | 0 | 56 | 377 | 540 | 80 | 30 | 10 |
| 4785 | 1970 | PhD | Together | 77622 | 0 | 2 | 3 | 520 | 154 | 19 | 0 | 14 |
| 9076 | 1980 | PhD | Married | 30732 | 1 | 0 | 44 | 155 | 25 | 0 | 1 | 3 |
| 7079 | 1962 | Graduation | Divorced | 63887 | 0 | 1 | 38 | 897 | 207 | 15 | 11 | 92 |
| 4653 | 1978 | Graduation | Together | 42011 | 1 | 0 | 46 | 131 | 16 | 2 | 1 | 39 |
| 7375 | 1976 | Graduation | Together | 51369 | 0 | 1 | 84 | 297 | 79 | 0 | 11 | 182 |
| 709 | 1952 | Graduation | Divorced | 51537 | 0 | 1 | 27 | 787 | 204 | 0 | 0 | 92 |
| 460 | 1972 | PhD | Married | 79930 | 0 | 0 | 72 | 792 | 740 | 67 | 51 | 17 |
| 3726 | 1986 | PhD | Together | 34320 | 1 | 0 | 66 | 4 | 9 | 3 | 0 | 0 |
| 6798 | 1966 | Graduation | Single | 37070 | 1 | 1 | 30 | 231 | 137 | 4 | 15 | 39 |
| 5341 | 1962 | 2n Cycle | Divorced | 81975 | 0 | 1 | 2 | 983 | 184 | 180 | 138 | 27 |
| 1606 | 1971 | Graduation | Together | 38590 | 1 | 0 | 65 | 3 | 8 | 4 | 3 | 3 |
| 9617 | 1951 | Graduation | Single | 15033 | 0 | 0 | 37 | 0 | 5 | 6 | 0 | 4 |
| 3233 | 1965 | PhD | Married | 62745 | 0 | 1 | 89 | 562 | 464 | 28 | 10 | 32 |
| 89 | 1975 | 2n Cycle | Married | 22212 | 1 | 0 | 49 | 5 | 20 | 6 | 8 | 21 |
| 2936 | 1982 | Master | Together | 23661 | 1 | 0 | 46 | 18 | 4 | 0 | 0 | 1 |
| 9449 | 1958 | PhD | Single | 79761 | 0 | 1 | 32 | 415 | 124 | 15 | 35 | 11 |
| 7297 | 1973 | Graduation | Single | 7500 | 1 | 0 | 54 | 5 | 10 | 12 | 7 | 20 |
| 11004 | 1893 | 2n Cycle | Single | 60182 | 0 | 1 | 23 | 8 | 5 | 7 | 0 | 2 |
| 313 | 1968 | Graduation | Widow | 73455 | 0 | 0 | 98 | 901 | 757 | 186 | 163 | 20 |
| 9940 | 1958 | Graduation | Together | 64961 | 0 | 1 | 97 | 382 | 276 | 75 | 124 | 38 |
| 10735 | 1971 | Graduation | Single | 22804 | 1 | 0 | 75 | 14 | 7 | 2 | 1 | 1 |
| 9529 | 1990 | Graduation | Married | 73687 | 0 | 0 | 8 | 559 | 503 | 218 | 13 | 181 |
| 6439 | 1958 | Graduation | Married | 61074 | 0 | 1 | 37 | 789 | 133 | 0 | 28 | 152 |
| 7411 | 1964 | PhD | Married | 31686 | 1 | 1 | 31 | 11 | 5 | 0 | 0 | 1 |
| 2176 | 1972 | Graduation | Married | 80134 | 1 | 0 | 40 | 1218 | 272 | 104 | 0 | 80 |
| 9265 | 1953 | Graduation | Married | 75027 | 0 | 1 | 74 | 925 | 179 | 133 | 12 | 77 |
| 8867 | 1988 | PhD | Married | 67546 | 0 | 0 | 90 | 864 | 768 | 150 | 38 | 172 |
| 8932 | 1969 | Master | Together | 65176 | 0 | 1 | 57 | 960 | 183 | 220 | 70 | 70 |
| 10236 | 1975 | Master | Single | 31160 | 1 | 0 | 59 | 16 | 25 | 6 | 1 | 13 |
| 6340 | 1985 | Graduation | Single | 29938 | 1 | 0 | 52 | 3 | 7 | 0 | 2 | 11 |
| 10089 | 1974 | Graduation | Divorced | 102692 | 0 | 0 | 5 | 168 | 444 | 32 | 172 | 148 |
| 2227 | 1958 | 2n Cycle | Together | 26490 | 0 | 0 | 92 | 45 | 52 | 21 | 20 | 25 |
| 10992 | 1967 | Graduation | Together | 75702 | 1 | 1 | 77 | 650 | 353 | 45 | 42 | 30 |
| 5304 | 1974 | PhD | Single | 30899 | 1 | 0 | 35 | 24 | 8 | 0 | 0 | 1 |
| 309 | 1961 | PhD | Together | 63342 | 0 | 1 | 48 | 918 | 118 | 13 | 10 | 21 |
| 3406 | 1964 | Graduation | Single | 45989 | 0 | 1 | 97 | 138 | 87 | 28 | 24 | 12 |
| 2661 | 1964 | Graduation | Single | 18701 | 1 | 1 | 95 | 12 | 2 | 10 | 6 | 10 |
| 3153 | 1957 | PhD | Single | 40737 | 2 | 1 | 24 | 11 | 4 | 0 | 0 | 2 |
| 10264 | 1979 | Graduation | Divorced | 15287 | 1 | 0 | 60 | 1 | 8 | 4 | 3 | 13 |
| 1184 | 1968 | PhD | Divorced | 69674 | 0 | 2 | 46 | 554 | 215 | 11 | 0 | 24 |
| 4200 | 1970 | Master | Married | 44159 | 1 | 0 | 85 | 167 | 62 | 24 | 13 | 7 |
| 9396 | 1978 | PhD | Married | 37717 | 1 | 0 | 31 | 9 | 6 | 4 | 1 | 5 |
| 2387 | 1952 | Master | Together | 43776 | 1 | 1 | 9 | 177 | 71 | 3 | 2 | 20 |
| 6690 | 1966 | Master | Married | 38179 | 1 | 1 | 30 | 38 | 22 | 4 | 2 | 20 |
| 1225 | 1963 | Graduation | Married | 80124 | 0 | 0 | 47 | 483 | 398 | 205 | 84 | 241 |
| 9703 | 1970 | PhD | Married | 38097 | 1 | 1 | 70 | 77 | 35 | 0 | 1 | 69 |
| 291 | 1970 | Graduation | Married | 72940 | 0 | 0 | 13 | 182 | 298 | 162 | 149 | 116 |
| 4557 | 1970 | Graduation | Together | 22070 | 1 | 0 | 11 | 10 | 19 | 8 | 2 | 21 |
| 2379 | 1953 | Graduation | Single | 69267 | 0 | 0 | 31 | 778 | 499 | 95 | 73 | 146 |
| 5726 | 1983 | Master | Single | 31788 | 1 | 0 | 15 | 16 | 23 | 0 | 8 | 6 |
| 3066 | 1975 | PhD | Together | 61905 | 0 | 1 | 2 | 167 | 43 | 6 | 2 | 13 |
| 6336 | 1960 | Graduation | Married | 29315 | 1 | 1 | 55 | 13 | 14 | 8 | 7 | 4 |
| 10967 | 1963 | Graduation | Divorced | 33378 | 1 | 1 | 38 | 33 | 40 | 3 | 7 | 10 |
| 2304 | 1963 | PhD | Together | 66313 | 0 | 1 | 86 | 625 | 99 | 10 | 22 | 7 |
| 3445 | 1956 | Graduation | Single | 60714 | 0 | 0 | 56 | 216 | 224 | 101 | 92 | 162 |
| 7828 | 1981 | Master | Together | 77882 | 0 | 0 | 29 | 68 | 396 | 188 | 22 | 15 |
| 3762 | 1986 | PhD | Single | 69867 | 0 | 0 | 30 | 196 | 512 | 33 | 130 | 54 |
| 4391 | 1968 | Master | Divorced | 63841 | 0 | 1 | 64 | 635 | 100 | 20 | 7 | 131 |
| 4669 | 1981 | Basic | Married | 24480 | 1 | 0 | 46 | 4 | 9 | 28 | 25 | 17 |
| 10144 | 1976 | Graduation | Together | 51369 | 0 | 1 | 84 | 297 | 79 | 0 | 11 | 182 |
| 8652 | 1946 | Graduation | Together | 37760 | 0 | 0 | 20 | 84 | 38 | 150 | 12 | 28 |
| 1672 | 1974 | PhD | Together | 65640 | 0 | 1 | 74 | 204 | 149 | 20 | 15 | 66 |
| 8962 | 1975 | Master | Married | 44319 | 1 | 1 | 18 | 26 | 8 | 0 | 0 | 3 |
| 9974 | 1974 | Graduation | Married | 30631 | 1 | 0 | 75 | 15 | 20 | 4 | 5 | 20 |
| 10983 | 1952 | Graduation | Together | 75278 | 0 | 0 | 17 | 304 | 230 | 150 | 74 | 74 |
| 8148 | 1956 | Master | Together | 50898 | 1 | 1 | 88 | 285 | 242 | 55 | 114 | 135 |
| 10102 | 1966 | Graduation | Widow | 79946 | 0 | 0 | 19 | 395 | 565 | 166 | 141 | 28 |
| 4697 | 1949 | Master | Divorced | 35416 | 0 | 0 | 62 | 248 | 81 | 4 | 3 | 51 |
| 9262 | 1984 | 2n Cycle | Together | 32414 | 0 | 0 | 11 | 20 | 5 | 0 | 9 | 12 |
| 7254 | 1969 | Graduation | Together | 38361 | 1 | 0 | 74 | 39 | 56 | 20 | 8 | 14 |
| 4543 | 1980 | Graduation | Married | 82497 | 0 | 0 | 32 | 777 | 573 | 216 | 21 | 203 |
| 4927 | 1971 | Graduation | Together | 16626 | 2 | 0 | 76 | 8 | 22 | 21 | 1 | 13 |
| 10451 | 1965 | Graduation | Together | 29672 | 1 | 1 | 6 | 9 | 3 | 0 | 4 | 8 |
| 2926 | 1952 | Master | Together | 55951 | 0 | 1 | 62 | 1241 | 80 | 0 | 13 | 40 |
| 2874 | 1988 | 2n Cycle | Divorced | 35388 | 1 | 0 | 20 | 6 | 7 | 4 | 3 | 8 |
| 9738 | 1986 | Master | Together | 42386 | 1 | 0 | 43 | 65 | 16 | 0 | 4 | 11 |
| 7119 | 1982 | Graduation | Single | 68627 | 0 | 0 | 45 | 395 | 263 | 60 | 54 | 38 |
| 3924 | 1965 | PhD | Divorced | 57912 | 0 | 1 | 34 | 801 | 80 | 0 | 0 | 35 |
| 5827 | 1958 | Graduation | Divorced | 35246 | 1 | 1 | 53 | 36 | 12 | 2 | 2 | 10 |
| 5596 | 1956 | 2n Cycle | Together | 58821 | 0 | 1 | 44 | 513 | 154 | 19 | 0 | 28 |
| 10812 | 1978 | PhD | Married | 46377 | 1 | 0 | 89 | 37 | 46 | 4 | 3 | 0 |
| 1717 | 1988 | Graduation | Single | 39747 | 1 | 0 | 43 | 80 | 93 | 20 | 13 | 52 |
| 9491 | 1984 | Graduation | Together | 23976 | 1 | 0 | 68 | 14 | 21 | 2 | 3 | 25 |
| 9274 | 1961 | Master | Married | 80950 | 0 | 0 | 44 | 525 | 112 | 219 | 147 | 63 |
| 6609 | 1966 | Graduation | Widow | 27038 | 0 | 0 | 64 | 1 | 25 | 17 | 23 | 15 |
| 6963 | 1947 | Graduation | Single | 77457 | 0 | 0 | 85 | 675 | 400 | 15 | 45 | 11 |
| 4440 | 1964 | Master | Married | 64100 | 0 | 1 | 93 | 509 | 27 | 0 | 0 | 10 |
| 1379 | 1992 | Master | Together | 42670 | 0 | 0 | 12 | 154 | 46 | 20 | 4 | 15 |
| 10032 | 1976 | Graduation | Divorced | 12571 | 1 | 0 | 86 | 3 | 14 | 2 | 12 | 17 |
| 2826 | 1967 | Graduation | Married | 22574 | 2 | 1 | 28 | 25 | 8 | 2 | 0 | 2 |
| 6320 | 1976 | Master | Single | 70893 | 0 | 0 | 42 | 768 | 561 | 77 | 44 | 14 |
| 3050 | 1966 | Graduation | Married | 54198 | 1 | 1 | 13 | 185 | 28 | 3 | 2 | 17 |
| 231 | 1956 | Master | Together | 28839 | 1 | 1 | 86 | 24 | 7 | 0 | 0 | 1 |
| 2392 | 1972 | Graduation | Married | 40321 | 1 | 1 | 59 | 44 | 21 | 6 | 0 | 27 |
| 9478 | 1985 | Graduation | Single | 66503 | 1 | 0 | 30 | 91 | 128 | 65 | 3 | 50 |
| 113 | 1951 | Graduation | Married | 30833 | 1 | 1 | 33 | 11 | 7 | 3 | 1 | 6 |
| 1802 | 1971 | Graduation | Married | 64795 | 0 | 1 | 23 | 412 | 119 | 38 | 29 | 77 |
| 520 | 1974 | Graduation | Married | 34421 | 1 | 0 | 81 | 3 | 7 | 6 | 2 | 9 |
| 8275 | 1965 | PhD | Divorced | 47025 | 1 | 1 | 6 | 16 | 3 | 0 | 0 | 1 |
| 9750 | 1961 | PhD | Divorced | 64325 | 0 | 1 | 41 | 731 | 353 | 78 | 12 | 73 |
| 2607 | 1953 | Graduation | Single | 40464 | 0 | 1 | 78 | 424 | 118 | 7 | 23 | 41 |
| 7214 | 1957 | Graduation | Married | 62187 | 0 | 0 | 49 | 792 | 275 | 45 | 45 | 126 |
| 5835 | 1976 | PhD | Divorced | 14849 | 1 | 0 | 39 | 21 | 28 | 3 | 2 | 9 |
| 3896 | 1984 | Graduation | Married | 27255 | 1 | 0 | 3 | 22 | 11 | 0 | 1 | 2 |
| 10350 | 1950 | PhD | Married | 54432 | 2 | 1 | 37 | 33 | 5 | 0 | 0 | 0 |
| 7786 | 1986 | PhD | Single | 29999 | 1 | 0 | 22 | 68 | 59 | 10 | 5 | 11 |
| 2861 | 1983 | Graduation | Single | 24072 | 1 | 0 | 79 | 9 | 6 | 3 | 0 | 4 |
| 663 | 1989 | PhD | Single | 33996 | 0 | 0 | 46 | 40 | 15 | 8 | 0 | 6 |
| 10675 | 1956 | PhD | Married | 66334 | 0 | 1 | 82 | 909 | 218 | 0 | 0 | 23 |
| 2521 | 1971 | Master | Married | 35178 | 1 | 0 | 10 | 23 | 13 | 2 | 2 | 18 |
| 9592 | 1983 | Graduation | Together | 22010 | 1 | 0 | 51 | 11 | 9 | 3 | 0 | 8 |
| 10151 | 1960 | Graduation | Divorced | 62204 | 0 | 2 | 38 | 317 | 247 | 151 | 46 | 139 |
| 7381 | 1968 | Graduation | Divorced | 75693 | 0 | 0 | 10 | 797 | 293 | 72 | 97 | 30 |
| 4099 | 1972 | Graduation | Married | 30675 | 1 | 0 | 14 | 10 | 16 | 11 | 2 | 21 |
| 9560 | 1965 | Graduation | Together | 83003 | 0 | 0 | 18 | 856 | 570 | 40 | 25 | 122 |
| 1150 | 1899 | PhD | Together | 83532 | 0 | 0 | 36 | 755 | 562 | 104 | 64 | 224 |
| 10172 | 1988 | Graduation | Single | 68655 | 0 | 0 | 95 | 456 | 832 | 75 | 118 | 38 |
| 11191 | 1986 | Graduation | Divorced | 41411 | 0 | 0 | 11 | 37 | 38 | 11 | 3 | 18 |
| 9707 | 1969 | PhD | Married | 55212 | 0 | 1 | 65 | 1103 | 45 | 0 | 0 | 34 |
| 6245 | 1950 | PhD | Together | 59292 | 0 | 1 | 71 | 378 | 68 | 19 | 14 | 14 |
| 8234 | 1973 | Basic | Together | 27190 | 1 | 0 | 13 | 1 | 7 | 0 | 1 | 3 |
| 1411 | 1952 | Graduation | Divorced | 82623 | 0 | 0 | 58 | 204 | 204 | 172 | 153 | 173 |
| 8553 | 1965 | Graduation | Married | 44300 | 1 | 1 | 65 | 30 | 9 | 0 | 0 | 3 |
| 1826 | 1970 | Graduation | Divorced | 84835 | 0 | 0 | 0 | 189 | 379 | 111 | 189 | 218 |
| 8842 | 1971 | Graduation | Widow | 30372 | 1 | 1 | 33 | 15 | 12 | 7 | 3 | 7 |
| 11030 | 1976 | Master | Married | 33181 | 1 | 0 | 90 | 9 | 3 | 0 | 0 | 4 |
| 2579 | 1957 | Graduation | Married | 71113 | 0 | 1 | 95 | 495 | 255 | 11 | 33 | 8 |
| 175 | 1986 | Graduation | Married | 71952 | 1 | 0 | 93 | 656 | 455 | 52 | 107 | 93 |
| 9185 | 1966 | PhD | Single | 69759 | 0 | 0 | 38 | 452 | 514 | 13 | 30 | 0 |
| 11056 | 1974 | Graduation | Married | 72099 | 0 | 0 | 18 | 546 | 410 | 119 | 0 | 22 |
| 9365 | 1976 | PhD | Single | 60000 | 0 | 1 | 57 | 1048 | 217 | 0 | 0 | 12 |
| 6201 | 1978 | Graduation | Single | 38643 | 1 | 1 | 45 | 22 | 14 | 0 | 1 | 10 |
| 2061 | 1955 | Graduation | Married | 50737 | 0 | 1 | 61 | 78 | 11 | 0 | 0 | 10 |
| 6184 | 1969 | PhD | Married | 68462 | 0 | 0 | 6 | 561 | 785 | 84 | 128 | 48 |
| 6142 | 1943 | Master | Married | 65073 | 0 | 0 | 65 | 629 | 177 | 69 | 0 | 8 |
| 4107 | 1948 | PhD | Together | 46681 | 0 | 2 | 52 | 269 | 69 | 15 | 19 | 38 |
| 7274 | 1957 | Graduation | Married | 78618 | 0 | 0 | 87 | 736 | 818 | 212 | 163 | 61 |
| 9336 | 1969 | PhD | Widow | 62187 | 0 | 1 | 38 | 512 | 83 | 0 | 0 | 41 |
| 2958 | 1978 | Graduation | Married | 28442 | 2 | 0 | 53 | 19 | 10 | 11 | 8 | 6 |
| 933 | 1978 | PhD | Married | 37717 | 1 | 0 | 31 | 9 | 6 | 4 | 1 | 5 |
| 5837 | 1967 | Graduation | Married | 51479 | 1 | 1 | 67 | 247 | 160 | 6 | 8 | 65 |
| 10704 | 1969 | Graduation | Single | 54803 | 0 | 1 | 65 | 404 | 92 | 28 | 27 | 142 |
| 5125 | 1960 | Graduation | Married | 79530 | 0 | 0 | 64 | 333 | 815 | 129 | 42 | 29 |
| 4432 | 1976 | Graduation | Divorced | 31615 | 1 | 0 | 82 | 2 | 20 | 6 | 11 | 9 |
| 5955 | 1962 | Graduation | Together | 72025 | 0 | 0 | 27 | 833 | 549 | 151 | 133 | 233 |
| 2928 | 1975 | PhD | Single | 52614 | 0 | 1 | 63 | 789 | 142 | 12 | 9 | 38 |
| 5680 | 1984 | 2n Cycle | Married | 35684 | 1 | 0 | 66 | 10 | 7 | 0 | 6 | 3 |
| 10313 | 1975 | Graduation | Married | 48178 | 1 | 1 | 69 | 159 | 45 | 6 | 2 | 38 |
| 2557 | 1970 | Master | Single | 29548 | 1 | 0 | 52 | 7 | 6 | 3 | 1 | 11 |
| 1245 | 1966 | Graduation | Single | 63810 | 0 | 1 | 45 | 977 | 253 | 16 | 12 | 101 |
| 1519 | 1972 | PhD | Single | 38578 | 1 | 1 | 2 | 38 | 22 | 3 | 3 | 3 |
| 10703 | 1975 | Master | Single | 46098 | 1 | 1 | 86 | 57 | 27 | 0 | 0 | 36 |
| 1726 | 1970 | Graduation | Single | 22585 | 0 | 0 | 23 | 3 | 15 | 13 | 2 | 39 |
| 4459 | 1989 | Graduation | Single | 30279 | 1 | 0 | 13 | 10 | 14 | 4 | 4 | 1 |
| 1729 | 1961 | PhD | Together | 66426 | 0 | 1 | 14 | 1043 | 97 | 32 | 24 | 157 |
| 1517 | 1969 | Graduation | Single | 30822 | 1 | 0 | 92 | 3 | 13 | 2 | 12 | 12 |
| 2098 | 1969 | PhD | Married | 33581 | 2 | 0 | 38 | 11 | 5 | 0 | 0 | 1 |
| 9543 | 1985 | Graduation | Married | 19986 | 1 | 0 | 74 | 3 | 5 | 0 | 2 | 6 |
| 6878 | 1954 | Graduation | Widow | 27421 | 0 | 0 | 14 | 43 | 96 | 78 | 40 | 55 |
| 3310 | 1973 | 2n Cycle | Married | 35688 | 2 | 1 | 94 | 73 | 90 | 12 | 1 | 32 |
| 2724 | 1981 | Master | Single | 36143 | 1 | 0 | 33 | 12 | 1 | 0 | 0 | 6 |
| 948 | 1971 | Graduation | Single | 10245 | 1 | 0 | 32 | 4 | 7 | 6 | 4 | 13 |
| 6720 | 1968 | Master | Together | 43795 | 0 | 1 | 11 | 314 | 53 | 4 | 3 | 107 |
| 6202 | 1960 | Graduation | Together | 63381 | 0 | 1 | 78 | 571 | 142 | 33 | 50 | 159 |
| 2066 | 1949 | Graduation | Together | 38823 | 0 | 1 | 56 | 70 | 11 | 2 | 8 | 23 |
| 9799 | 1968 | PhD | Divorced | 83664 | 1 | 1 | 57 | 866 | 151 | 28 | 21 | 86 |
| 8318 | 1979 | Graduation | Together | 90300 | 0 | 0 | 7 | 594 | 786 | 33 | 134 | 57 |
| 5642 | 1979 | Master | Together | 62499 | 1 | 0 | 0 | 140 | 61 | 0 | 13 | 4 |
| 2669 | 1993 | Graduation | Single | 74293 | 0 | 0 | 66 | 375 | 335 | 93 | 91 | 81 |
| 455 | 1946 | PhD | Married | 51012 | 0 | 0 | 86 | 102 | 63 | 2 | 9 | 24 |
| 7683 | 1968 | Master | Married | 70777 | 0 | 1 | 80 | 554 | 113 | 0 | 7 | 78 |
| 3428 | 1991 | PhD | Together | 68682 | 0 | 0 | 56 | 919 | 505 | 99 | 30 | 45 |
| 7414 | 1971 | Graduation | Married | 43824 | 1 | 1 | 18 | 96 | 42 | 12 | 3 | 32 |
| 6354 | 1984 | Graduation | Together | 15345 | 1 | 0 | 51 | 5 | 16 | 3 | 2 | 19 |
| 798 | 1987 | Graduation | Single | 23442 | 1 | 0 | 71 | 2 | 6 | 8 | 6 | 5 |
| 8213 | 1980 | 2n Cycle | Together | 14515 | 1 | 0 | 71 | 6 | 9 | 6 | 36 | 35 |
| 2488 | 1956 | 2n Cycle | Divorced | 31395 | 1 | 1 | 80 | 23 | 25 | 0 | 8 | 7 |
| 9999 | 1965 | Graduation | Together | 75276 | 0 | 0 | 2 | 610 | 125 | 137 | 42 | 21 |
| 7617 | 1974 | Graduation | Single | 42373 | 1 | 1 | 83 | 67 | 61 | 3 | 8 | 19 |
| 615 | 1960 | Graduation | Together | 30507 | 0 | 0 | 29 | 65 | 74 | 38 | 20 | 110 |
| 2552 | 1955 | PhD | Single | 55521 | 1 | 2 | 11 | 416 | 26 | 0 | 0 | 4 |
| 194 | 1965 | Graduation | Married | 48006 | 1 | 1 | 55 | 23 | 11 | 3 | 2 | 2 |
| 3645 | 1972 | PhD | Single | 27213 | 1 | 0 | 19 | 19 | 26 | 10 | 9 | 3 |
| 8890 | 1971 | PhD | Divorced | 65808 | 1 | 1 | 1 | 155 | 80 | 13 | 7 | 10 |
| 5049 | 1974 | PhD | Together | 30351 | 1 | 0 | 19 | 14 | 24 | 3 | 3 | 2 |
| 9973 | 1963 | Graduation | Married | 50437 | 0 | 2 | 28 | 370 | 92 | 6 | 9 | 4 |
| 7301 | 1982 | 2n Cycle | Single | 23616 | 1 | 0 | 76 | 4 | 11 | 3 | 7 | 32 |
| 10882 | 1976 | Graduation | Married | 53858 | 0 | 1 | 50 | 407 | 221 | 58 | 150 | 26 |
| 7030 | 1955 | PhD | Married | 66465 | 0 | 1 | 1 | 1200 | 204 | 38 | 29 | 14 |
| 7422 | 1987 | Graduation | Single | 46923 | 1 | 0 | 90 | 85 | 54 | 102 | 78 | 6 |
| 3523 | 1962 | Graduation | Together | 75072 | 0 | 1 | 83 | 583 | 309 | 0 | 22 | 125 |
| 7106 | 1943 | PhD | Married | 75865 | 0 | 0 | 73 | 483 | 591 | 156 | 0 | 12 |
| 6504 | 1975 | 2n Cycle | Together | 19789 | 1 | 0 | 24 | 2 | 9 | 28 | 6 | 28 |
| 5067 | 1994 | Graduation | Together | 80134 | 0 | 0 | 11 | 966 | 282 | 52 | 26 | 26 |
| 4216 | 1981 | Graduation | Single | 91065 | 0 | 0 | 33 | 822 | 108 | 179 | 137 | 114 |
| 8581 | 1971 | Master | Married | 49505 | 1 | 1 | 4 | 604 | 100 | 19 | 0 | 28 |
| 5929 | 1973 | PhD | Married | 37401 | 1 | 0 | 14 | 19 | 19 | 3 | 1 | 3 |
| 3129 | 1983 | Graduation | Married | 30096 | 1 | 0 | 30 | 5 | 11 | 12 | 5 | 9 |
| 6528 | 1982 | Master | Together | 18492 | 1 | 0 | 75 | 2 | 2 | 2 | 1 | 1 |
| 1361 | 1974 | Master | Married | 82584 | 0 | 0 | 26 | 1076 | 103 | 29 | 91 | 68 |
| 6932 | 1941 | PhD | Married | 93027 | 0 | 0 | 77 | 1285 | 716 | 55 | 0 | 21 |
| 7284 | 1953 | Graduation | Married | 48686 | 1 | 2 | 8 | 10 | 7 | 2 | 0 | 1 |
| 1340 | 1986 | Graduation | Married | 92910 | 0 | 0 | 42 | 551 | 792 | 179 | 103 | 33 |
| 8746 | 1989 | Graduation | Married | 75433 | 1 | 0 | 28 | 800 | 297 | 0 | 34 | 57 |
| 5987 | 1989 | 2n Cycle | Together | 10404 | 1 | 0 | 52 | 2 | 11 | 10 | 6 | 12 |
| 3767 | 1968 | Graduation | Married | 61314 | 0 | 1 | 1 | 378 | 189 | 97 | 172 | 172 |
| 3725 | 1961 | PhD | Single | 84865 | 0 | 0 | 1 | 1248 | 349 | 43 | 16 | 16 |
| 4324 | 1989 | Graduation | Married | 42387 | 1 | 0 | 42 | 235 | 235 | 19 | 4 | 191 |
| 238 | 1967 | 2n Cycle | Together | 67309 | 1 | 1 | 76 | 515 | 181 | 149 | 95 | 95 |
| 6694 | 1964 | Graduation | Married | 75236 | 0 | 1 | 27 | 438 | 400 | 12 | 38 | 114 |
| 498 | 1970 | Graduation | Single | 30015 | 1 | 0 | 28 | 25 | 22 | 2 | 3 | 5 |
| 9347 | 1956 | Master | Together | 50943 | 0 | 1 | 49 | 31 | 7 | 2 | 0 | 6 |
| 9699 | 1966 | Graduation | Divorced | 67272 | 0 | 1 | 12 | 357 | 271 | 28 | 28 | 14 |
| 10664 | 1949 | Master | Widow | 51529 | 0 | 1 | 14 | 400 | 35 | 6 | 0 | 22 |
| 5455 | 1971 | PhD | Married | 32011 | 1 | 0 | 89 | 99 | 15 | 2 | 1 | 5 |
| 456 | 1986 | 2n Cycle | Married | 7500 | 1 | 0 | 96 | 1 | 5 | 4 | 6 | 9 |
| 5012 | 1989 | Graduation | Married | 28691 | 1 | 0 | 56 | 5 | 13 | 8 | 0 | 4 |
| 7495 | 1948 | PhD | Married | 56223 | 0 | 1 | 72 | 77 | 31 | 16 | 0 | 4 |
| 5029 | 1946 | Graduation | Married | 18100 | 0 | 0 | 14 | 3 | 2 | 4 | 3 | 1 |
| 10642 | 1989 | Graduation | Single | 30279 | 1 | 0 | 13 | 10 | 14 | 4 | 4 | 1 |
| 2106 | 1974 | 2n Cycle | Married | 20130 | 0 | 0 | 99 | 0 | 3 | 7 | 6 | 12 |
| 10364 | 1959 | Graduation | Divorced | 23295 | 0 | 0 | 72 | 0 | 1 | 2 | 12 | 5 |
| 5954 | 1972 | Master | Divorced | 42618 | 1 | 0 | 92 | 76 | 74 | 13 | 5 | 10 |
| 1137 | 1964 | Graduation | Single | 81246 | 0 | 0 | 87 | 398 | 537 | 61 | 156 | 37 |
| 2541 | 1976 | Graduation | Married | 24027 | 1 | 0 | 7 | 14 | 11 | 11 | 0 | 5 |
| 1142 | 1953 | PhD | Married | 55707 | 0 | 1 | 91 | 208 | 82 | 30 | 66 | 35 |
| 2276 | 1955 | Graduation | Single | 57959 | 0 | 1 | 71 | 430 | 322 | 43 | 24 | 33 |
| 2807 | 1969 | Graduation | Married | 56796 | 0 | 1 | 24 | 656 | 161 | 62 | 47 | 37 |
| 6471 | 1971 | Master | Single | 36230 | 1 | 0 | 17 | 14 | 30 | 8 | 2 | 3 |
| 6131 | 1980 | 2n Cycle | Married | 70829 | 1 | 1 | 87 | 141 | 106 | 72 | 19 | 23 |
| 6233 | 1976 | Graduation | Married | 65991 | 0 | 1 | 21 | 507 | 364 | 25 | 47 | 9 |
| 4148 | 1972 | Graduation | Married | 38988 | 1 | 2 | 90 | 164 | 103 | 12 | 3 | 42 |
| 4947 | 1966 | 2n Cycle | Single | 89572 | 0 | 0 | 44 | 606 | 974 | 197 | 194 | 64 |
| 3225 | 1984 | Master | Married | 42207 | 1 | 0 | 71 | 116 | 72 | 3 | 17 | 46 |
| 7540 | 1952 | Graduation | Married | 50300 | 0 | 1 | 52 | 143 | 60 | 24 | 23 | 5 |
| 10648 | 1982 | 2n Cycle | Together | 66664 | 0 | 0 | 78 | 398 | 447 | 220 | 96 | 32 |
| 1992 | 1964 | Graduation | Married | 60597 | 0 | 1 | 2 | 522 | 257 | 32 | 16 | 66 |
| 7851 | 1949 | Graduation | Widow | 70165 | 0 | 0 | 60 | 161 | 253 | 199 | 191 | 122 |
| 8594 | 1958 | PhD | Widow | 50520 | 0 | 1 | 25 | 112 | 6 | 2 | 1 | 14 |
| 7059 | 1963 | Graduation | Married | 80124 | 0 | 0 | 47 | 483 | 398 | 205 | 84 | 241 |
| 2815 | 1975 | Graduation | Married | 33183 | 1 | 0 | 46 | 7 | 39 | 17 | 15 | 37 |
| 2416 | 1969 | PhD | Single | 66582 | 0 | 0 | 83 | 789 | 420 | 16 | 38 | 0 |
| 7999 | 1955 | PhD | Together | 75261 | 0 | 0 | 17 | 1239 | 413 | 23 | 34 | 17 |
| 9213 | 1970 | Graduation | Widow | 31880 | 1 | 0 | 13 | 4 | 5 | 2 | 0 | 3 |
| 9697 | 1951 | Graduation | Married | 53790 | 0 | 2 | 86 | 335 | 127 | 28 | 5 | 5 |
| 3916 | 1971 | PhD | Together | 49269 | 1 | 0 | 92 | 639 | 166 | 11 | 8 | 58 |
| 2021 | 1975 | Graduation | Married | 61456 | 0 | 1 | 47 | 563 | 384 | 84 | 192 | 89 |
| 1581 | 1980 | Graduation | Married | 37406 | 1 | 0 | 18 | 2 | 8 | 2 | 2 | 3 |
| 564 | 1981 | PhD | Together | 56937 | 1 | 0 | 81 | 746 | 125 | 11 | 8 | 8 |
| 6619 | 1978 | Graduation | Married | 38415 | 1 | 1 | 91 | 22 | 13 | 4 | 0 | 4 |
| 9081 | 1988 | Graduation | Single | 20518 | 1 | 0 | 58 | 4 | 6 | 4 | 1 | 9 |
| 178 | 1956 | Graduation | Married | 62503 | 0 | 1 | 40 | 478 | 193 | 110 | 75 | 117 |
| 916 | 1972 | PhD | Single | 41644 | 1 | 1 | 67 | 20 | 4 | 2 | 0 | 2 |
| 5512 | 1977 | Master | Married | 55842 | 0 | 1 | 19 | 451 | 39 | 0 | 4 | 24 |
| 8970 | 1972 | PhD | Married | 62010 | 0 | 1 | 93 | 371 | 39 | 6 | 0 | 92 |
| 10581 | 1977 | Graduation | Married | 41124 | 1 | 0 | 41 | 281 | 84 | 15 | 0 | 119 |
| 5300 | 1973 | Master | Married | 38961 | 1 | 0 | 60 | 19 | 19 | 0 | 1 | 24 |
| 5154 | 1972 | Master | Divorced | 37760 | 1 | 0 | 54 | 26 | 13 | 2 | 10 | 0 |
| 8346 | 1974 | Graduation | Single | 32233 | 1 | 0 | 26 | 138 | 35 | 25 | 11 | 72 |
| 1676 | 1975 | Graduation | Married | 43057 | 0 | 1 | 30 | 213 | 44 | 0 | 2 | 5 |
| 9286 | 1960 | Master | Together | 83151 | 0 | 0 | 93 | 407 | 100 | 120 | 74 | 18 |
| 2426 | 1964 | PhD | Divorced | 78825 | 0 | 0 | 35 | 483 | 114 | 169 | 37 | 18 |
| 5172 | 1976 | Master | Together | 65104 | 0 | 1 | 4 | 738 | 232 | 13 | 20 | 50 |
| 5562 | 1974 | Graduation | Married | 60093 | 0 | 1 | 92 | 502 | 109 | 16 | 6 | 90 |
| 3436 | 1969 | Graduation | Married | 14045 | 1 | 0 | 24 | 11 | 5 | 2 | 1 | 1 |
| 3921 | 1952 | 2n Cycle | Widow | 28457 | 0 | 0 | 96 | 24 | 108 | 29 | 29 | 14 |
| 3403 | 1958 | PhD | Together | 78952 | 0 | 1 | 11 | 1170 | 594 | 99 | 76 | 134 |
| 22 | 1976 | Graduation | Divorced | 46310 | 1 | 0 | 99 | 185 | 88 | 15 | 5 | 14 |
| 10965 | 1955 | Graduation | Together | 76005 | 0 | 0 | 72 | 983 | 389 | 240 | 50 | 40 |
| 9426 | 1964 | Master | Single | 58308 | 0 | 1 | 77 | 691 | 69 | 10 | 0 | 130 |
| 6605 | 1944 | PhD | Divorced | 55614 | 0 | 0 | 85 | 504 | 131 | 8 | 0 | 26 |
| 3136 | 1962 | Master | Divorced | 59432 | 0 | 1 | 88 | 317 | 265 | 25 | 19 | 12 |
| 8737 | 1978 | Graduation | Divorced | 55563 | 0 | 1 | 22 | 29 | 9 | 2 | 0 | 2 |
| 11088 | 1971 | PhD | Together | 78642 | 0 | 1 | 83 | 1396 | 322 | 46 | 35 | 17 |
| 716 | 1949 | PhD | Together | 67911 | 0 | 1 | 63 | 529 | 356 | 63 | 28 | 0 |
| 466 | 1944 | Graduation | Married | 65275 | 0 | 0 | 9 | 388 | 218 | 91 | 14 | 21 |
| 9135 | 1950 | Graduation | Together | 27203 | 1 | 1 | 92 | 13 | 21 | 4 | 0 | 24 |
| 10623 | 1961 | Master | Together | 48330 | 0 | 1 | 2 | 28 | 4 | 0 | 0 | 0 |
| 8151 | 1990 | Basic | Married | 24279 | 0 | 0 | 6 | 16 | 21 | 20 | 62 | 108 |
| 5140 | 1985 | PhD | Married | 64355 | 1 | 0 | 66 | 1047 | 140 | 67 | 38 | 153 |
| 10160 | 1956 | Master | Together | 50943 | 0 | 1 | 49 | 31 | 7 | 2 | 0 | 6 |
| 4945 | 1953 | Graduation | Widow | 53653 | 0 | 0 | 29 | 815 | 239 | 28 | 10 | 108 |
| 10584 | 1976 | Graduation | Married | 65665 | 0 | 1 | 77 | 225 | 387 | 106 | 36 | 29 |
| 6071 | 1989 | Graduation | Single | 81217 | 0 | 0 | 77 | 493 | 324 | 146 | 40 | 84 |
| 3386 | 1992 | Graduation | Married | 34935 | 0 | 0 | 71 | 34 | 66 | 3 | 10 | 20 |
| 8939 | 1959 | Graduation | Divorced | 61250 | 0 | 1 | 49 | 382 | 65 | 60 | 26 | 59 |
| 9925 | 1981 | PhD | Together | 39665 | 1 | 0 | 97 | 127 | 56 | 0 | 1 | 31 |
| 4320 | 1979 | Graduation | Single | 60152 | 0 | 1 | 6 | 325 | 300 | 86 | 58 | 91 |
| 5389 | 1964 | Graduation | Married | 48920 | 0 | 2 | 93 | 238 | 68 | 8 | 10 | 6 |
| 6036 | 1959 | Master | Together | 89120 | 0 | 0 | 78 | 1168 | 408 | 72 | 129 | 55 |
| 182 | 1946 | PhD | Together | 44124 | 0 | 1 | 62 | 284 | 55 | 0 | 6 | 52 |
| 203 | 1975 | Master | Single | 81169 | 0 | 0 | 47 | 1288 | 613 | 80 | 61 | 27 |
| 11025 | 1961 | Graduation | Married | 36443 | 1 | 1 | 9 | 65 | 46 | 4 | 3 | 20 |
| 10203 | 1990 | Graduation | Single | 26095 | 1 | 0 | 77 | 11 | 9 | 3 | 1 | 11 |
| 4607 | 1959 | Graduation | Together | 71367 | 0 | 0 | 24 | 227 | 389 | 42 | 21 | 75 |
| 3711 | 1944 | Master | Married | 80184 | 0 | 0 | 19 | 1035 | 670 | 25 | 38 | 0 |
| 3696 | 1965 | Graduation | Divorced | 30630 | 1 | 1 | 67 | 27 | 12 | 2 | 0 | 10 |
| 2532 | 1987 | Master | Single | 73454 | 0 | 0 | 95 | 982 | 351 | 56 | 14 | 175 |
| 9214 | 1991 | Graduation | Married | 42691 | 0 | 0 | 48 | 179 | 64 | 38 | 17 | 58 |
| 4943 | 1953 | Graduation | Married | 70503 | 0 | 0 | 73 | 1379 | 216 | 0 | 33 | 66 |
| 35 | 1987 | Graduation | Married | 25545 | 1 | 0 | 35 | 32 | 64 | 16 | 12 | 85 |
| 2258 | 1986 | Graduation | Married | 32880 | 1 | 0 | 76 | 8 | 15 | 7 | 6 | 2 |
| 4322 | 1958 | PhD | Together | 77863 | 0 | 0 | 20 | 881 | 319 | 16 | 25 | 12 |
| 713 | 1977 | Master | Married | 50353 | 0 | 0 | 72 | 141 | 153 | 67 | 31 | 35 |
| 4702 | 1964 | Graduation | Single | 61839 | 0 | 0 | 20 | 1000 | 379 | 224 | 17 | 120 |
| 3281 | 1960 | PhD | Married | 49154 | 1 | 1 | 69 | 206 | 67 | 30 | 27 | 71 |
| 702 | 1975 | 2n Cycle | Widow | 47682 | 0 | 1 | 80 | 162 | 83 | 97 | 57 | 61 |
| 2004 | 1969 | Graduation | Single | 72679 | 0 | 1 | 65 | 619 | 260 | 127 | 54 | 54 |
| 4769 | 1977 | Master | Together | 57954 | 1 | 1 | 52 | 456 | 24 | 0 | 0 | 9 |
| 4437 | 1962 | Graduation | Married | 65316 | 1 | 1 | 65 | 112 | 92 | 3 | 9 | 38 |
| 8724 | 1982 | Graduation | Single | 28567 | 1 | 0 | 57 | 11 | 22 | 2 | 2 | 6 |
| 10741 | 1951 | Master | Together | 47352 | 0 | 1 | 70 | 172 | 112 | 8 | 0 | 15 |
| 1991 | 1967 | Graduation | Together | 44931 | 0 | 1 | 0 | 78 | 11 | 0 | 0 | 7 |
| 6931 | 1967 | Graduation | Divorced | 76982 | 0 | 0 | 19 | 464 | 292 | 65 | 60 | 30 |
| 11096 | 1952 | 2n Cycle | Together | 57247 | 0 | 1 | 50 | 99 | 32 | 37 | 54 | 6 |
| 304 | 1981 | Master | Single | 22944 | 1 | 0 | 67 | 19 | 19 | 4 | 5 | 26 |
| 3665 | 1977 | 2n Cycle | Together | 25315 | 1 | 0 | 46 | 1 | 8 | 11 | 3 | 22 |
| 10591 | 1969 | Graduation | Widow | 43638 | 0 | 1 | 37 | 63 | 83 | 7 | 19 | 19 |
| 5036 | 1984 | PhD | Single | 42710 | 1 | 0 | 38 | 252 | 42 | 4 | 3 | 102 |
| 5547 | 1982 | PhD | Married | 84169 | 0 | 0 | 9 | 1478 | 403 | 0 | 19 | 0 |
| 7822 | 1976 | Graduation | Together | 54058 | 0 | 1 | 56 | 198 | 252 | 32 | 108 | 54 |
| 8541 | 1990 | 2n Cycle | Married | 24683 | 1 | 0 | 98 | 8 | 10 | 6 | 7 | 6 |
| 10955 | 1964 | Graduation | Widow | 85620 | 0 | 0 | 68 | 416 | 925 | 60 | 107 | 46 |
| 4368 | 1980 | Graduation | Married | 47850 | 1 | 0 | 72 | 42 | 43 | 20 | 12 | 10 |
| 9671 | 1968 | Graduation | Married | 19514 | 1 | 1 | 47 | 14 | 21 | 2 | 1 | 28 |
| 2256 | 1973 | Master | Married | 27159 | 1 | 1 | 33 | 17 | 3 | 0 | 0 | 1 |
| 4279 | 1963 | 2n Cycle | Single | 39548 | 1 | 1 | 87 | 15 | 10 | 3 | 4 | 18 |
| 5371 | 1989 | Graduation | Single | 21474 | 1 | 0 | 0 | 6 | 24 | 11 | 0 | 34 |
| 9240 | 1971 | PhD | Single | 60504 | 0 | 1 | 73 | 458 | 24 | 6 | 4 | 34 |
| 9460 | 1963 | Graduation | Married | 22419 | 0 | 0 | 74 | 30 | 47 | 19 | 21 | 42 |
| 9504 | 1949 | Master | Married | 81698 | 0 | 0 | 4 | 179 | 520 | 111 | 123 | 47 |
| 8692 | 1952 | Graduation | Together | 43462 | 1 | 1 | 50 | 90 | 97 | 15 | 6 | 15 |
| 448 | 1978 | PhD | Single | 54880 | 1 | 0 | 57 | 308 | 137 | 102 | 45 | 118 |
| 8314 | 1982 | Graduation | Married | 79908 | 0 | 0 | 30 | 557 | 761 | 29 | 185 | 111 |
| 8420 | 1970 | 2n Cycle | Married | 15315 | 0 | 0 | 27 | 7 | 13 | 15 | 8 | 17 |
| 3174 | 1959 | Graduation | Together | 87771 | 0 | 1 | 61 | 1492 | 287 | 50 | 57 | 33 |
| 7685 | 1978 | Graduation | Married | 33039 | 1 | 0 | 4 | 30 | 12 | 8 | 8 | 12 |
| 3179 | 1980 | Graduation | Single | 81741 | 0 | 0 | 75 | 249 | 940 | 58 | 134 | 38 |
| 9780 | 1971 | Master | Together | 71499 | 0 | 1 | 12 | 465 | 132 | 136 | 0 | 37 |
| 10681 | 1970 | 2n Cycle | Married | 62466 | 0 | 1 | 13 | 129 | 259 | 168 | 121 | 83 |
| 10232 | 1963 | PhD | Divorced | 48799 | 0 | 1 | 9 | 174 | 81 | 28 | 6 | 24 |
| 4184 | 1950 | PhD | Together | 52157 | 0 | 1 | 48 | 189 | 29 | 3 | 2 | 40 |
| 9120 | 1962 | Graduation | Single | 66565 | 0 | 1 | 80 | 747 | 161 | 65 | 40 | 42 |
| 891 | 1951 | Master | Together | 29298 | 1 | 1 | 60 | 6 | 2 | 2 | 0 | 1 |
| 10381 | 1979 | Graduation | Single | 47691 | 0 | 1 | 43 | 14 | 3 | 0 | 0 | 4 |
| 3525 | 1970 | Graduation | Together | 38200 | 1 | 1 | 19 | 12 | 4 | 0 | 0 | 1 |
| 6818 | 1974 | Graduation | Married | 44989 | 0 | 1 | 26 | 98 | 106 | 49 | 10 | 106 |
| 3526 | 1968 | PhD | Married | 38443 | 1 | 1 | 58 | 32 | 5 | 0 | 0 | 1 |
| 8181 | 1978 | 2n Cycle | Single | 38593 | 1 | 0 | 42 | 51 | 49 | 17 | 24 | 24 |
| 1029 | 1970 | PhD | Together | 64413 | 0 | 1 | 27 | 200 | 44 | 0 | 10 | 20 |
| 7369 | 1981 | Master | Married | 36959 | 1 | 0 | 56 | 25 | 25 | 6 | 0 | 0 |
| 2574 | 1977 | PhD | Married | 61996 | 0 | 1 | 27 | 1050 | 144 | 0 | 0 | 24 |
| 8159 | 1968 | Graduation | Married | 51287 | 1 | 1 | 10 | 117 | 22 | 13 | 0 | 30 |
| 1160 | 1970 | Graduation | Married | 13260 | 1 | 1 | 48 | 9 | 17 | 10 | 2 | 7 |
| 10242 | 1966 | PhD | Together | 47472 | 1 | 1 | 39 | 56 | 11 | 0 | 0 | 8 |
| 5253 | 1956 | Master | Together | 54603 | 1 | 1 | 85 | 145 | 46 | 17 | 2 | 4 |
| 5966 | 1974 | PhD | Married | 45207 | 1 | 1 | 64 | 203 | 10 | 0 | 0 | 2 |
| 5314 | 1951 | Graduation | Together | 40689 | 0 | 1 | 69 | 270 | 27 | 39 | 6 | 99 |
| 5081 | 1967 | 2n Cycle | Together | 47821 | 1 | 1 | 54 | 9 | 16 | 6 | 6 | 10 |
| 5123 | 1951 | Master | Married | 27450 | 0 | 0 | 57 | 37 | 23 | 8 | 11 | 52 |
| 5756 | 1983 | Graduation | Together | 39453 | 1 | 0 | 64 | 46 | 7 | 0 | 0 | 2 |
| 8036 | 1971 | 2n Cycle | Together | 26850 | 1 | 1 | 10 | 31 | 13 | 7 | 2 | 9 |
| 9058 | 1955 | Graduation | Widow | 79800 | 0 | 0 | 65 | 1060 | 530 | 32 | 0 | 224 |
| 5057 | 1961 | Master | Married | 61794 | 0 | 1 | 74 | 264 | 188 | 54 | 47 | 11 |
| 254 | 1955 | Graduation | Together | 53863 | 0 | 1 | 4 | 399 | 30 | 6 | 4 | 30 |
| 4179 | 1959 | Graduation | Together | 24221 | 0 | 0 | 94 | 8 | 9 | 2 | 5 | 22 |
| 3710 | 1984 | PhD | Single | 39684 | 1 | 0 | 41 | 19 | 35 | 6 | 4 | 17 |
| 7627 | 1975 | Master | Married | 92163 | 0 | 0 | 25 | 817 | 797 | 106 | 163 | 20 |
| 4501 | 1965 | Master | Single | 69882 | 0 | 0 | 94 | 292 | 635 | 132 | 127 | 165 |
| 6424 | 1977 | Graduation | Together | 33178 | 1 | 0 | 9 | 12 | 2 | 11 | 2 | 16 |
| 3075 | 1972 | PhD | Married | 59973 | 0 | 0 | 47 | 130 | 168 | 20 | 34 | 0 |
| 4992 | 1975 | Master | Together | 17459 | 1 | 0 | 12 | 6 | 16 | 3 | 10 | 30 |
| 5252 | 1969 | Graduation | Divorced | 23910 | 1 | 0 | 80 | 16 | 18 | 7 | 1 | 13 |
| 7444 | 1969 | Master | Married | 42169 | 1 | 1 | 20 | 19 | 9 | 0 | 0 | 2 |
| 6919 | 1978 | 2n Cycle | Married | 26224 | 1 | 0 | 39 | 4 | 15 | 13 | 9 | 15 |
| 3537 | 1981 | Graduation | Together | 31089 | 1 | 0 | 57 | 31 | 31 | 2 | 8 | 4 |
| 10277 | 1961 | Graduation | Single | 30081 | 0 | 1 | 27 | 36 | 2 | 0 | 0 | 4 |
| 2453 | 1960 | Graduation | Together | 62807 | 0 | 1 | 83 | 526 | 135 | 10 | 21 | 99 |
| 7972 | 1955 | Graduation | Single | 72906 | 0 | 0 | 79 | 400 | 519 | 71 | 75 | 54 |
| 895 | 1948 | PhD | Married | 61467 | 0 | 2 | 69 | 410 | 114 | 0 | 5 | 49 |
| 1177 | 1966 | Master | Together | 49618 | 1 | 1 | 77 | 80 | 26 | 4 | 2 | 14 |
| 7141 | 1986 | Master | Single | 21888 | 1 | 0 | 15 | 88 | 46 | 2 | 3 | 64 |
| 7232 | 1973 | Graduation | Widow | 42429 | 0 | 1 | 99 | 55 | 6 | 2 | 0 | 4 |
| 8477 | 1956 | Graduation | Divorced | 26150 | 2 | 1 | 61 | 5 | 13 | 3 | 5 | 1 |
| 2457 | 1975 | Basic | Married | 30801 | 0 | 1 | 23 | 8 | 5 | 15 | 2 | 11 |
| 988 | 1965 | Graduation | Married | 81168 | 0 | 0 | 84 | 410 | 592 | 147 | 22 | 22 |
| 7930 | 1969 | Master | Single | 26877 | 0 | 0 | 74 | 101 | 76 | 20 | 18 | 40 |
| 4587 | 1944 | Master | Widow | 45006 | 0 | 0 | 90 | 162 | 53 | 16 | 0 | 10 |
| 6682 | 1973 | Basic | Married | 18978 | 1 | 0 | 41 | 2 | 1 | 4 | 7 | 15 |
| 6222 | 1967 | Graduation | Married | 22574 | 2 | 1 | 28 | 25 | 8 | 2 | 0 | 2 |
| 10299 | 1969 | PhD | Single | 48240 | 0 | 0 | 73 | 389 | 248 | 64 | 49 | 41 |
| 3083 | 1974 | Graduation | Married | 45837 | 1 | 1 | 88 | 215 | 87 | 17 | 17 | 24 |
| 8953 | 1965 | Master | Single | 35791 | 2 | 1 | 94 | 27 | 5 | 0 | 0 | 3 |
| 1503 | 1976 | PhD | Together | 162397 | 1 | 1 | 31 | 85 | 16 | 2 | 1 | 2 |
| 8650 | 1978 | Graduation | Widow | 54162 | 1 | 1 | 31 | 5 | 10 | 6 | 5 | 10 |
| 10862 | 1960 | Master | Married | 30522 | 0 | 1 | 6 | 179 | 83 | 19 | 11 | 26 |
| 2782 | 1961 | PhD | Married | 54456 | 0 | 1 | 23 | 352 | 27 | 10 | 0 | 15 |
| 6941 | 1971 | Graduation | Single | 31632 | 0 | 0 | 92 | 17 | 12 | 11 | 15 | 32 |
| 10972 | 1949 | Graduation | Widow | 72298 | 0 | 0 | 52 | 625 | 169 | 58 | 17 | 35 |
| 10708 | 1978 | 2n Cycle | Single | 36975 | 1 | 0 | 50 | 10 | 11 | 0 | 4 | 2 |
| 6583 | 1955 | 2n Cycle | Married | 72635 | 0 | 0 | 54 | 390 | 323 | 104 | 35 | 107 |
| 3641 | 1976 | Graduation | Married | 13624 | 1 | 0 | 93 | 10 | 15 | 2 | 1 | 6 |
| 10156 | 1975 | Graduation | Single | 84196 | 0 | 1 | 56 | 215 | 507 | 231 | 31 | 190 |
| 4299 | 1960 | Graduation | Together | 70971 | 0 | 1 | 28 | 1001 | 572 | 93 | 125 | 17 |
| 3469 | 1977 | PhD | Divorced | 34487 | 1 | 1 | 94 | 19 | 33 | 24 | 1 | 8 |
| 5063 | 1977 | Graduation | Single | 28769 | 1 | 0 | 76 | 41 | 129 | 10 | 3 | 3 |
| 10727 | 1970 | PhD | Married | 69084 | 1 | 0 | 43 | 1181 | 199 | 39 | 30 | 30 |
| 9624 | 1958 | PhD | Together | 65488 | 0 | 0 | 46 | 603 | 207 | 36 | 18 | 54 |
| 5156 | 1970 | 2n Cycle | Married | 62466 | 0 | 1 | 13 | 129 | 259 | 168 | 121 | 83 |
| 4376 | 1960 | 2n Cycle | Single | 32218 | 0 | 0 | 27 | 10 | 15 | 13 | 1 | 30 |
| 8923 | 1973 | Graduation | Single | 83917 | 0 | 0 | 12 | 514 | 732 | 42 | 198 | 79 |
| 8461 | 1962 | Graduation | Divorced | 46102 | 2 | 1 | 3 | 14 | 1 | 0 | 0 | 1 |
| 6945 | 1952 | Graduation | Single | 84574 | 0 | 0 | 72 | 387 | 713 | 38 | 54 | 163 |
| 944 | 1962 | Graduation | Married | 56181 | 0 | 1 | 6 | 121 | 69 | 8 | 44 | 48 |
| 1907 | 1950 | Master | Divorced | 63120 | 0 | 1 | 53 | 965 | 279 | 54 | 41 | 69 |
| 701 | 1971 | Graduation | Married | 73691 | 0 | 1 | 58 | 707 | 250 | 85 | 43 | 73 |
| 3856 | 1960 | Graduation | Together | 63381 | 0 | 1 | 78 | 571 | 142 | 33 | 50 | 159 |
| 4149 | 1948 | PhD | Together | 76140 | 0 | 0 | 57 | 586 | 653 | 17 | 0 | 26 |
| 2131 | 1959 | PhD | Divorced | 62859 | 0 | 1 | 37 | 1063 | 102 | 16 | 12 | 25 |
| 2942 | 1964 | Graduation | Single | 45906 | 0 | 1 | 20 | 305 | 27 | 4 | 3 | 144 |
| 1173 | 1947 | Master | Together | 77632 | 0 | 0 | 73 | 1200 | 758 | 0 | 42 | 147 |
| 4381 | 1971 | PhD | Married | 46463 | 1 | 1 | 56 | 163 | 40 | 8 | 11 | 11 |
| 4611 | 1970 | Graduation | Together | 105471 | 0 | 0 | 36 | 1009 | 104 | 202 | 21 | 207 |
| 3376 | 1970 | Master | Divorced | 55282 | 1 | 0 | 9 | 125 | 73 | 8 | 4 | 19 |
| 4679 | 1977 | Master | Married | 78710 | 0 | 1 | 42 | 721 | 152 | 119 | 50 | 50 |
| 10928 | 1958 | Graduation | Together | 66886 | 0 | 1 | 28 | 315 | 62 | 41 | 31 | 146 |
| 4248 | 1960 | Master | Single | 98777 | 0 | 0 | 23 | 1000 | 711 | 125 | 115 | 38 |
| 6728 | 1985 | Graduation | Together | 29103 | 1 | 0 | 38 | 16 | 17 | 6 | 3 | 6 |
| 6661 | 1974 | Graduation | Married | 67445 | 0 | 1 | 63 | 757 | 217 | 29 | 80 | 11 |
| 4725 | 1950 | PhD | Together | 50616 | 0 | 1 | 71 | 30 | 25 | 0 | 1 | 9 |
| 3277 | 1955 | Graduation | Divorced | 49431 | 0 | 1 | 9 | 219 | 100 | 26 | 0 | 17 |
| 5555 | 1975 | Graduation | Divorced | 153924 | 0 | 0 | 81 | 1 | 1 | 1 | 1 | 1 |
| 2564 | 1953 | Graduation | Together | 61278 | 0 | 1 | 87 | 111 | 28 | 2 | 6 | 15 |
| 946 | 1958 | 2n Cycle | Together | 26490 | 0 | 0 | 92 | 45 | 52 | 21 | 20 | 25 |
| 3867 | 1947 | PhD | Together | 73059 | 0 | 1 | 36 | 410 | 420 | 0 | 82 | 71 |
| 6940 | 1966 | PhD | Single | 46734 | 1 | 2 | 86 | 100 | 39 | 6 | 1 | 76 |
| 55 | 1963 | Graduation | Together | 56253 | 0 | 1 | 83 | 509 | 65 | 7 | 11 | 5 |
| 7093 | 1985 | Graduation | Married | 19986 | 1 | 0 | 74 | 3 | 5 | 0 | 2 | 6 |
| 5084 | 1975 | Graduation | Widow | 58330 | 0 | 1 | 87 | 445 | 213 | 104 | 98 | 151 |
| 1777 | 1980 | Basic | Married | 25965 | 0 | 0 | 29 | 2 | 11 | 41 | 7 | 11 |
| 8162 | 1956 | Master | Together | 14661 | 0 | 0 | 88 | 4 | 11 | 6 | 2 | 2 |
| 10826 | 1959 | Graduation | Married | 18690 | 0 | 0 | 77 | 6 | 7 | 23 | 4 | 19 |
| 8754 | 1974 | PhD | Together | 45068 | 0 | 1 | 25 | 14 | 3 | 0 | 0 | 3 |
| 1987 | 1987 | Basic | Single | 21063 | 1 | 0 | 34 | 1 | 11 | 19 | 3 | 15 |
| 11007 | 1968 | PhD | Married | 29187 | 1 | 0 | 43 | 26 | 6 | 0 | 0 | 2 |
| 7426 | 1971 | 2n Cycle | Married | 54690 | 1 | 1 | 76 | 111 | 37 | 7 | 9 | 18 |
| 9153 | 1964 | PhD | Married | 59304 | 0 | 1 | 81 | 418 | 428 | 80 | 51 | 10 |
| 10379 | 1962 | Master | Single | 59247 | 0 | 2 | 87 | 327 | 122 | 19 | 14 | 83 |
| 9204 | 1970 | Graduation | Widow | 66731 | 0 | 1 | 33 | 371 | 194 | 58 | 106 | 141 |
| 3197 | 1980 | Graduation | Married | 77353 | 0 | 1 | 38 | 275 | 107 | 69 | 101 | 59 |
| 2920 | 1975 | PhD | Single | 52614 | 0 | 1 | 63 | 789 | 142 | 12 | 9 | 38 |
| 6961 | 1974 | Graduation | Married | 26751 | 2 | 0 | 26 | 1 | 5 | 0 | 3 | 1 |
| 4673 | 1963 | PhD | Married | 81300 | 0 | 1 | 17 | 1004 | 145 | 32 | 12 | 36 |
| 9937 | 1979 | Graduation | Single | 70337 | 0 | 0 | 75 | 187 | 149 | 25 | 43 | 91 |
| 8779 | 1985 | 2n Cycle | Married | 36145 | 1 | 0 | 13 | 56 | 76 | 17 | 1 | 18 |
| 9596 | 1980 | PhD | Single | 65295 | 0 | 0 | 19 | 365 | 117 | 34 | 110 | 6 |
| 2891 | 1963 | Graduation | Divorced | 68118 | 0 | 1 | 51 | 595 | 123 | 10 | 23 | 154 |
| 4910 | 1967 | Graduation | Divorced | 68743 | 0 | 0 | 81 | 1132 | 384 | 175 | 134 | 115 |
| 75 | 1982 | 2n Cycle | Together | 41039 | 0 | 0 | 32 | 34 | 137 | 179 | 61 | 45 |
| 10120 | 1955 | Graduation | Together | 38946 | 0 | 1 | 84 | 116 | 82 | 6 | 6 | 41 |
| 6327 | 1967 | Graduation | Together | 65777 | 0 | 0 | 87 | 565 | 435 | 28 | 32 | 54 |
| 10142 | 1976 | PhD | Divorced | 66476 | 0 | 1 | 99 | 372 | 126 | 47 | 48 | 78 |
| 9826 | 1972 | PhD | Single | 86857 | 0 | 0 | 96 | 899 | 838 | 133 | 102 | 40 |
| 1501 | 1982 | PhD | Married | 160803 | 0 | 0 | 21 | 55 | 1622 | 17 | 3 | 4 |
| 10767 | 1989 | PhD | Together | 77845 | 0 | 0 | 40 | 760 | 480 | 0 | 40 | 26 |
| 7279 | 1969 | PhD | Together | 69476 | 0 | 0 | 3 | 260 | 559 | 63 | 9 | 67 |
| 7230 | 1960 | PhD | Divorced | 50611 | 0 | 1 | 98 | 459 | 24 | 6 | 0 | 4 |
| 143 | 1970 | Graduation | Single | 61209 | 0 | 0 | 73 | 466 | 224 | 119 | 49 | 99 |
| 450 | 1958 | Master | Together | 42315 | 0 | 1 | 90 | 67 | 80 | 17 | 11 | 80 |
| 9316 | 1952 | Basic | Together | 13084 | 0 | 0 | 29 | 2 | 7 | 3 | 7 | 10 |
| 6379 | 1949 | Master | Widow | 47570 | 1 | 1 | 3 | 67 | 20 | 0 | 2 | 31 |
| 9239 | 1961 | Master | Married | 61923 | 0 | 2 | 94 | 92 | 18 | 3 | 3 | 6 |
| 8315 | 1995 | Graduation | Single | 34824 | 0 | 0 | 65 | 4 | 11 | 2 | 0 | 4 |
| 2868 | 1949 | PhD | Single | 26518 | 1 | 1 | 33 | 20 | 28 | 3 | 3 | 2 |
| 10888 | 1961 | Graduation | Single | 45938 | 0 | 0 | 46 | 273 | 178 | 62 | 83 | 29 |
| 1277 | 1960 | Graduation | Together | 78468 | 0 | 0 | 29 | 434 | 388 | 104 | 22 | 34 |
| 9977 | 1973 | Graduation | Divorced | 78901 | 0 | 1 | 99 | 321 | 309 | 33 | 26 | 34 |
| 10196 | 1978 | Graduation | Married | 71427 | 2 | 0 | 26 | 212 | 177 | 15 | 64 | 23 |
| 6384 | 1978 | Graduation | Divorced | 71022 | 0 | 1 | 30 | 909 | 278 | 0 | 12 | 242 |
| 8029 | 1988 | Master | Single | 90247 | 0 | 0 | 27 | 1184 | 352 | 21 | 16 | 16 |
| 968 | 1968 | Master | Divorced | 41335 | 1 | 0 | 24 | 112 | 21 | 16 | 14 | 5 |
| 6988 | 1986 | Graduation | Married | 71952 | 1 | 0 | 93 | 656 | 455 | 52 | 107 | 93 |
| 4472 | 1970 | PhD | Divorced | 35682 | 1 | 0 | 34 | 23 | 8 | 6 | 2 | 18 |
| 6991 | 1951 | Graduation | Divorced | 43185 | 0 | 1 | 88 | 537 | 42 | 16 | 6 | 30 |
| 3336 | 1948 | PhD | Together | 66375 | 0 | 1 | 96 | 712 | 45 | 0 | 0 | 191 |
| 4301 | 1971 | Master | Married | 35178 | 1 | 0 | 10 | 23 | 13 | 2 | 2 | 18 |
| 1940 | 1986 | Graduation | Married | 25252 | 1 | 0 | 26 | 1 | 4 | 2 | 2 | 6 |
| 1272 | 1965 | Master | Single | 55250 | 0 | 1 | 49 | 664 | 83 | 32 | 0 | 66 |
| 1388 | 1975 | Graduation | Single | 33249 | 1 | 0 | 11 | 6 | 21 | 19 | 14 | 42 |
| 1044 | 1953 | Graduation | Together | 58398 | 0 | 0 | 44 | 299 | 201 | 21 | 21 | 49 |
| 6969 | 1982 | Graduation | Together | 50272 | 1 | 0 | 75 | 99 | 66 | 43 | 8 | 4 |
| 10479 | 1975 | PhD | Married | 76618 | 0 | 0 | 64 | 749 | 294 | 121 | 160 | 147 |
| 3619 | 1960 | 2n Cycle | Divorced | 87305 | 0 | 0 | 19 | 345 | 501 | 63 | 138 | 80 |
| 1715 | 1978 | Graduation | Together | 25851 | 1 | 0 | 45 | 9 | 18 | 7 | 5 | 5 |
| 10159 | 1970 | Graduation | Divorced | 58710 | 0 | 1 | 77 | 440 | 368 | 0 | 122 | 174 |
| 1463 | 1958 | Graduation | Single | 45160 | 1 | 1 | 9 | 8 | 5 | 3 | 0 | 3 |
| 5114 | 1965 | Master | Married | 74806 | 0 | 1 | 1 | 670 | 249 | 0 | 28 | 9 |
| 4990 | 1954 | Graduation | Married | 59111 | 0 | 0 | 90 | 524 | 134 | 28 | 28 | 155 |
| 4329 | 1984 | PhD | Married | 18988 | 1 | 0 | 43 | 6 | 6 | 2 | 1 | 1 |
| 10936 | 1965 | Graduation | Married | 72190 | 0 | 0 | 79 | 597 | 597 | 172 | 166 | 249 |
| 4692 | 1976 | Graduation | Married | 7500 | 1 | 0 | 19 | 7 | 12 | 13 | 7 | 32 |
| 7212 | 1966 | Graduation | Married | 44794 | 0 | 1 | 99 | 54 | 7 | 0 | 0 | 4 |
| 6086 | 1955 | Graduation | Married | 80395 | 0 | 0 | 62 | 445 | 706 | 80 | 76 | 48 |
| 437 | 1976 | Master | Divorced | 75012 | 0 | 0 | 41 | 294 | 218 | 164 | 58 | 151 |
| 11171 | 1965 | Master | Married | 56962 | 2 | 1 | 60 | 292 | 77 | 10 | 3 | 26 |
| 11101 | 1991 | Graduation | Together | 89891 | 0 | 0 | 17 | 412 | 132 | 59 | 28 | 183 |
| 5329 | 1949 | PhD | Divorced | 35946 | 1 | 1 | 24 | 8 | 3 | 0 | 0 | 0 |
| 610 | 1953 | PhD | Together | 53593 | 1 | 1 | 60 | 349 | 78 | 6 | 0 | 43 |
| 9384 | 1978 | Graduation | Married | 66373 | 1 | 1 | 57 | 328 | 124 | 12 | 24 | 109 |
| 5956 | 1948 | PhD | Divorced | 45072 | 1 | 2 | 74 | 144 | 99 | 7 | 2 | 30 |
| 10430 | 1973 | Graduation | Divorced | 89694 | 1 | 1 | 22 | 1126 | 211 | 37 | 28 | 42 |
| 7875 | 1949 | Graduation | Married | 72025 | 0 | 0 | 46 | 967 | 617 | 43 | 50 | 0 |
| 7072 | 1973 | Graduation | Married | 67432 | 0 | 1 | 69 | 432 | 341 | 177 | 136 | 170 |
| 6255 | 1952 | Master | Together | 70545 | 0 | 1 | 29 | 138 | 63 | 55 | 18 | 21 |
| 6516 | 1989 | Basic | Married | 17487 | 1 | 0 | 37 | 0 | 1 | 7 | 4 | 6 |
| 5564 | 1969 | Graduation | Together | 62882 | 0 | 1 | 26 | 509 | 497 | 78 | 24 | 97 |
| 5682 | 1953 | PhD | Single | 64108 | 0 | 1 | 8 | 948 | 86 | 13 | 21 | 21 |
| 7458 | 1956 | Master | Together | 34941 | 1 | 1 | 26 | 39 | 25 | 4 | 3 | 24 |
| 5237 | 1950 | PhD | Single | 48767 | 1 | 2 | 79 | 28 | 21 | 3 | 0 | 10 |
| 7761 | 1978 | 2n Cycle | Together | 38702 | 1 | 0 | 71 | 13 | 24 | 13 | 8 | 40 |
| 5278 | 1964 | Graduation | Married | 82224 | 0 | 0 | 83 | 307 | 360 | 138 | 31 | 40 |
| 3560 | 1952 | Graduation | Together | 83844 | 0 | 0 | 57 | 901 | 345 | 75 | 31 | 191 |
| 7235 | 1975 | 2n Cycle | Married | 17003 | 1 | 0 | 37 | 2 | 12 | 4 | 8 | 7 |
| 10548 | 1995 | Graduation | Single | 71163 | 0 | 0 | 30 | 283 | 372 | 138 | 106 | 44 |
| 2281 | 1970 | Graduation | Single | 33697 | 1 | 0 | 34 | 4 | 7 | 0 | 3 | 11 |
| 4073 | 1954 | 2n Cycle | Married | 63564 | 0 | 0 | 0 | 769 | 252 | 15 | 34 | 65 |
| 6974 | 1972 | PhD | Together | 83443 | 0 | 0 | 89 | 518 | 742 | 55 | 56 | 84 |
| 7938 | 1958 | PhD | Together | 51518 | 0 | 1 | 92 | 350 | 66 | 17 | 4 | 4 |
| 7094 | 1975 | Graduation | Widow | 58330 | 0 | 1 | 87 | 445 | 213 | 104 | 98 | 151 |
| 3667 | 1969 | Graduation | Married | 80952 | 0 | 0 | 20 | 778 | 689 | 41 | 27 | 44 |
| 7723 | 1979 | Graduation | Together | 75507 | 0 | 0 | 56 | 709 | 374 | 104 | 80 | 80 |
| 3870 | 1978 | 2n Cycle | Together | 63855 | 0 | 0 | 28 | 359 | 314 | 93 | 116 | 89 |
| 4012 | 1972 | PhD | Together | 62220 | 0 | 1 | 55 | 799 | 375 | 16 | 12 | 12 |
| 5909 | 1964 | Graduation | Married | 58512 | 0 | 1 | 25 | 895 | 101 | 13 | 0 | 152 |
| 10470 | 1979 | Master | Married | 40662 | 1 | 0 | 0 | 40 | 23 | 0 | 4 | 23 |
| 6488 | 1959 | PhD | Married | 38829 | 0 | 1 | 86 | 76 | 7 | 0 | 0 | 16 |
| 10270 | 1981 | 2n Cycle | Married | 35523 | 1 | 0 | 8 | 11 | 22 | 12 | 5 | 11 |
| 6887 | 1967 | Graduation | Single | 79146 | 1 | 1 | 33 | 245 | 223 | 21 | 43 | 16 |
| 6406 | 1988 | Master | Married | 78285 | 0 | 0 | 13 | 647 | 391 | 175 | 67 | 40 |
| 7573 | 1978 | PhD | Single | 31626 | 1 | 0 | 12 | 39 | 9 | 2 | 1 | 34 |
| 4508 | 1952 | Graduation | Single | 75127 | 0 | 0 | 92 | 203 | 305 | 46 | 17 | 227 |
| 221 | 1955 | Graduation | Married | 48726 | 0 | 1 | 90 | 138 | 38 | 4 | 0 | 59 |
| 5331 | 1977 | Graduation | Married | 74985 | 0 | 0 | 8 | 587 | 898 | 247 | 0 | 86 |
| 1911 | 1987 | Graduation | Together | 67430 | 0 | 0 | 6 | 595 | 291 | 127 | 133 | 121 |
| 20 | 1965 | 2n Cycle | Married | 46891 | 0 | 1 | 91 | 43 | 23 | 29 | 15 | 61 |
| 8786 | 1956 | Master | Married | 62058 | 0 | 1 | 52 | 301 | 74 | 10 | 0 | 58 |
| 10582 | 1979 | Graduation | Married | 72063 | 0 | 1 | 3 | 180 | 348 | 76 | 32 | 90 |
| 1915 | 1951 | PhD | Married | 78939 | 0 | 0 | 57 | 794 | 243 | 150 | 0 | 205 |
| 8897 | 1965 | Graduation | Single | 42720 | 1 | 1 | 9 | 392 | 91 | 28 | 26 | 112 |
| 2371 | 1972 | Graduation | Married | 33622 | 1 | 1 | 22 | 39 | 22 | 3 | 4 | 12 |
| 4303 | 1957 | PhD | Together | 6835 | 0 | 1 | 76 | 107 | 12 | 2 | 2 | 12 |
| 6825 | 1953 | Graduation | Together | 41452 | 1 | 1 | 86 | 13 | 3 | 0 | 0 | 0 |
| 1072 | 1965 | PhD | Single | 40760 | 0 | 1 | 64 | 70 | 17 | 0 | 0 | 6 |
| 4964 | 1958 | PhD | Together | 74250 | 0 | 0 | 90 | 680 | 392 | 75 | 0 | 0 |
| 2461 | 1955 | Master | Single | 51124 | 1 | 1 | 79 | 26 | 11 | 0 | 1 | 4 |
| 10736 | 1971 | Graduation | Single | 72258 | 0 | 1 | 28 | 522 | 522 | 227 | 120 | 134 |
| 3194 | 1974 | PhD | Single | 71466 | 0 | 0 | 86 | 412 | 546 | 78 | 182 | 0 |
| 10839 | 1976 | Graduation | Together | 36283 | 1 | 1 | 42 | 6 | 5 | 8 | 0 | 5 |
| 49 | 1970 | Graduation | Single | 20587 | 1 | 0 | 39 | 2 | 6 | 4 | 1 | 9 |
| 4290 | 1972 | Graduation | Married | 30467 | 1 | 0 | 8 | 1 | 8 | 2 | 5 | 5 |
| 10219 | 1972 | Graduation | Together | 31590 | 1 | 0 | 40 | 6 | 15 | 6 | 6 | 3 |
| 4211 | 1986 | Basic | Married | 20425 | 1 | 0 | 5 | 4 | 5 | 3 | 16 | 17 |
| 1135 | 1960 | Master | Together | 17144 | 1 | 1 | 96 | 18 | 19 | 0 | 2 | 6 |
| 6299 | 1968 | PhD | Divorced | 42564 | 0 | 1 | 28 | 324 | 186 | 39 | 18 | 198 |
| 10846 | 1978 | Master | Married | 43783 | 1 | 0 | 22 | 327 | 125 | 25 | 4 | 139 |
| 347 | 1976 | Graduation | Divorced | 40780 | 0 | 1 | 30 | 229 | 71 | 13 | 3 | 34 |
| 6543 | 1945 | Master | Together | 62847 | 0 | 0 | 45 | 521 | 706 | 80 | 76 | 61 |
| 10446 | 1957 | PhD | Married | 82017 | 0 | 0 | 58 | 184 | 446 | 30 | 23 | 23 |
| 3479 | 1950 | Graduation | Single | 16813 | 0 | 0 | 49 | 4 | 11 | 12 | 2 | 13 |
| 11075 | 1978 | Graduation | Married | 51267 | 1 | 1 | 37 | 183 | 64 | 7 | 2 | 12 |
| 4442 | 1961 | Graduation | Single | 46524 | 0 | 1 | 70 | 31 | 35 | 26 | 14 | 52 |
| 199 | 1962 | Master | Single | 45183 | 0 | 0 | 33 | 219 | 60 | 12 | 9 | 12 |
| 6722 | 1954 | PhD | Married | 70421 | 0 | 1 | 98 | 479 | 136 | 75 | 14 | 35 |
| 796 | 1965 | 2n Cycle | Divorced | 60161 | 0 | 1 | 17 | 584 | 212 | 46 | 8 | 177 |
| 3749 | 1973 | Graduation | Together | 73926 | 0 | 0 | 54 | 627 | 597 | 159 | 91 | 15 |
| 8523 | 1968 | Graduation | Married | 19329 | 1 | 0 | 39 | 24 | 16 | 12 | 2 | 5 |
| 310 | 1970 | Master | Married | 61872 | 0 | 1 | 81 | 330 | 159 | 36 | 27 | 16 |
| 8629 | 1956 | Graduation | Widow | 46984 | 1 | 1 | 71 | 19 | 10 | 2 | 1 | 8 |
| 236 | 1951 | Graduation | Married | 34838 | 1 | 1 | 62 | 28 | 29 | 29 | 14 | 47 |
| 9930 | 1944 | PhD | Single | 82716 | 0 | 0 | 8 | 606 | 228 | 15 | 148 | 22 |
| 3483 | 1958 | Graduation | Married | 48192 | 0 | 0 | 76 | 1039 | 204 | 153 | 58 | 29 |
| 4599 | 1976 | Master | Married | 49681 | 0 | 2 | 66 | 411 | 26 | 0 | 0 | 21 |
| 7326 | 1971 | Master | Married | 56850 | 0 | 1 | 83 | 34 | 19 | 2 | 7 | 0 |
| 7352 | 1957 | Graduation | Married | 55267 | 0 | 1 | 28 | 161 | 136 | 32 | 3 | 45 |
| 2350 | 1972 | Graduation | Married | 59666 | 1 | 1 | 87 | 623 | 178 | 23 | 17 | 133 |
| 9145 | 1972 | Graduation | Single | 72504 | 0 | 1 | 43 | 604 | 470 | 123 | 161 | 94 |
| 2964 | 1981 | Graduation | Married | 26872 | 0 | 0 | 0 | 3 | 8 | 3 | 16 | 32 |
| 5585 | 1972 | Graduation | Single | 21359 | 1 | 0 | 1 | 12 | 17 | 6 | 1 | 10 |
| 9687 | 1975 | Graduation | Single | 73170 | 0 | 0 | 1 | 184 | 256 | 50 | 30 | 32 |
| 3732 | 1955 | Master | Married | 52750 | 0 | 1 | 72 | 393 | 239 | 90 | 69 | 69 |
| 6303 | 1986 | PhD | Together | 91820 | 0 | 0 | 72 | 410 | 747 | 76 | 161 | 30 |
| 11176 | 1970 | PhD | Together | 65968 | 0 | 1 | 12 | 376 | 83 | 19 | 4 | 4 |
| 2986 | 1976 | Graduation | Married | 30772 | 1 | 1 | 89 | 7 | 4 | 2 | 1 | 4 |
| 7462 | 1954 | Graduation | Single | 22507 | 0 | 0 | 67 | 68 | 226 | 51 | 157 | 68 |
| 3900 | 1972 | Graduation | Married | 65685 | 0 | 1 | 54 | 642 | 49 | 0 | 7 | 57 |
| 7034 | 1978 | 2n Cycle | Married | 25804 | 1 | 0 | 34 | 8 | 9 | 13 | 6 | 12 |
| 9493 | 1980 | PhD | Single | 76412 | 0 | 0 | 15 | 840 | 804 | 23 | 71 | 17 |
| 1143 | 1972 | Graduation | Married | 22063 | 1 | 0 | 43 | 7 | 13 | 3 | 11 | 11 |
| 1 | 1961 | Graduation | Single | 57091 | 0 | 0 | 0 | 464 | 64 | 7 | 0 | 37 |
| 3855 | 1963 | Graduation | Married | 22419 | 0 | 0 | 74 | 30 | 47 | 19 | 21 | 42 |
| 5536 | 1959 | Graduation | Together | 87771 | 0 | 1 | 61 | 1492 | 287 | 50 | 57 | 33 |
| 5989 | 1959 | 2n Cycle | Divorced | 78353 | 0 | 1 | 51 | 752 | 476 | 39 | 153 | 34 |
| 9499 | 1954 | Graduation | Married | 93404 | 1 | 2 | 97 | 1279 | 287 | 20 | 0 | 15 |
| 6768 | 1962 | Graduation | Divorced | 37859 | 1 | 2 | 75 | 22 | 8 | 2 | 1 | 2 |
| 2150 | 1958 | PhD | Widow | 80995 | 0 | 1 | 83 | 860 | 409 | 73 | 56 | 56 |
| 6646 | 1984 | Graduation | Together | 16529 | 1 | 0 | 23 | 3 | 5 | 13 | 0 | 1 |
| 4887 | 1976 | PhD | Divorced | 55412 | 1 | 1 | 65 | 10 | 28 | 11 | 1 | 8 |
| 8560 | 1992 | Graduation | Single | 48789 | 0 | 0 | 94 | 351 | 156 | 7 | 5 | 145 |
| 3321 | 1967 | PhD | Together | 56575 | 0 | 2 | 42 | 421 | 90 | 0 | 16 | 10 |
| 11003 | 1980 | 2n Cycle | Together | 25130 | 1 | 0 | 10 | 2 | 7 | 0 | 18 | 18 |
| 10402 | 1967 | Graduation | Married | 35441 | 1 | 1 | 94 | 25 | 9 | 2 | 1 | 1 |
| 9904 | 1956 | Graduation | Married | 71391 | 0 | 1 | 50 | 336 | 274 | 46 | 123 | 141 |
| 6141 | 1972 | Master | Single | 49494 | 1 | 0 | 46 | 191 | 97 | 0 | 6 | 82 |
| 5687 | 1980 | Graduation | Divorced | 81702 | 0 | 0 | 98 | 563 | 774 | 28 | 31 | 187 |
| 10856 | 1980 | 2n Cycle | Single | 45889 | 0 | 1 | 42 | 31 | 6 | 0 | 1 | 8 |
| 5121 | 1977 | Graduation | Single | 56628 | 0 | 1 | 30 | 479 | 82 | 7 | 17 | 171 |
| 4186 | 1950 | Graduation | Together | 34026 | 1 | 1 | 11 | 18 | 15 | 12 | 8 | 17 |
| 368 | 1974 | Graduation | Married | 40049 | 0 | 1 | 61 | 91 | 52 | 10 | 44 | 28 |
| 3312 | 1988 | Graduation | Single | 34176 | 1 | 0 | 12 | 5 | 24 | 19 | 14 | 20 |
| 11121 | 1981 | Graduation | Married | 19419 | 1 | 0 | 76 | 2 | 28 | 16 | 3 | 7 |
| 5332 | 1960 | 2n Cycle | Married | 82504 | 0 | 0 | 2 | 362 | 431 | 134 | 35 | 54 |
| 5848 | 1970 | Graduation | Together | 81205 | 0 | 0 | 43 | 724 | 929 | 97 | 55 | 130 |
| 10343 | 1991 | 2n Cycle | Single | 61618 | 0 | 0 | 27 | 605 | 399 | 0 | 45 | 205 |
| 5935 | 1956 | Master | Single | 55284 | 0 | 1 | 60 | 547 | 140 | 0 | 7 | 63 |
| 2895 | 1963 | Graduation | Single | 49980 | 0 | 1 | 79 | 104 | 54 | 13 | 9 | 14 |
| 10262 | 1980 | Graduation | Married | 15072 | 2 | 0 | 96 | 8 | 15 | 0 | 10 | 18 |
| 7848 | 1974 | Graduation | Single | 49166 | 0 | 1 | 17 | 224 | 25 | 7 | 0 | 110 |
| 9477 | 1954 | PhD | Married | 65324 | 0 | 1 | 0 | 384 | 102 | 21 | 32 | 5 |
| 4856 | 1957 | 2n Cycle | Married | 82347 | 0 | 0 | 38 | 556 | 845 | 202 | 133 | 63 |
| 7186 | 1966 | PhD | Together | 30843 | 1 | 1 | 43 | 24 | 2 | 0 | 0 | 9 |
| 5794 | 1974 | PhD | Married | 46374 | 0 | 1 | 1 | 408 | 21 | 0 | 0 | 17 |
| 1456 | 1979 | Graduation | Single | 60474 | 0 | 1 | 25 | 265 | 303 | 234 | 9 | 170 |
| 4877 | 1973 | Master | Married | 38576 | 0 | 1 | 2 | 34 | 7 | 0 | 0 | 0 |
| 425 | 1985 | Graduation | Married | 55357 | 2 | 0 | 66 | 374 | 116 | 84 | 25 | 64 |
| 3007 | 1966 | Graduation | Together | 37758 | 1 | 1 | 49 | 27 | 10 | 0 | 0 | 1 |
| 1031 | 1989 | 2n Cycle | Married | 85710 | 0 | 0 | 5 | 600 | 350 | 29 | 30 | 33 |
| 4297 | 1969 | Graduation | Together | 23228 | 1 | 0 | 71 | 13 | 18 | 6 | 1 | 0 |
| 807 | 1969 | Master | Together | 44602 | 1 | 1 | 35 | 167 | 89 | 0 | 0 | 34 |
| 9553 | 1987 | Graduation | Married | 7500 | 0 | 0 | 94 | 0 | 3 | 4 | 1 | 5 |
| 4271 | 1989 | 2n Cycle | Together | 38683 | 1 | 0 | 80 | 46 | 69 | 84 | 41 | 66 |
| 4120 | 1975 | 2n Cycle | Single | 49514 | 1 | 0 | 61 | 88 | 78 | 58 | 13 | 93 |
| 2036 | 1973 | PhD | Together | 57906 | 0 | 1 | 29 | 243 | 119 | 10 | 3 | 15 |
| 115 | 1966 | Master | Single | 43456 | 0 | 1 | 0 | 275 | 68 | 25 | 7 | 7 |
| 4259 | 1986 | Master | Single | 19485 | 2 | 0 | 80 | 6 | 4 | 0 | 0 | 0 |
| 8687 | 1978 | Graduation | Together | 53172 | 0 | 1 | 54 | 121 | 90 | 68 | 20 | 125 |
| 2447 | 1979 | Graduation | Together | 30545 | 1 | 0 | 71 | 4 | 15 | 19 | 7 | 12 |
| 10140 | 1983 | PhD | Together | 70123 | 0 | 0 | 27 | 1308 | 396 | 23 | 0 | 0 |
| 9353 | 1959 | Graduation | Single | 62450 | 0 | 1 | 61 | 515 | 267 | 62 | 66 | 38 |
| 3623 | 1976 | Graduation | Together | 21675 | 1 | 0 | 55 | 4 | 16 | 17 | 4 | 4 |
| 738 | 1981 | 2n Cycle | Single | 42395 | 1 | 1 | 35 | 48 | 57 | 24 | 15 | 25 |
| 7631 | 1978 | Master | Together | 61346 | 1 | 0 | 34 | 562 | 168 | 43 | 16 | 142 |
| 4789 | 1953 | Graduation | Together | 80812 | 0 | 0 | 95 | 769 | 500 | 210 | 143 | 33 |
| 773 | 1971 | Master | Divorced | 42835 | 1 | 1 | 64 | 379 | 93 | 12 | 9 | 98 |
| 10602 | 1983 | Graduation | Married | 39922 | 1 | 0 | 30 | 29 | 59 | 19 | 1 | 36 |
| 1446 | 1956 | Master | Single | 86424 | 0 | 0 | 12 | 387 | 569 | 89 | 45 | 68 |
| 3270 | 1978 | 2n Cycle | Together | 17117 | 1 | 0 | 96 | 12 | 38 | 30 | 18 | 7 |
| 8443 | 1972 | Graduation | Single | 24762 | 1 | 0 | 16 | 6 | 12 | 3 | 15 | 40 |
| 9653 | 1975 | Graduation | Married | 35797 | 0 | 1 | 16 | 27 | 14 | 4 | 1 | 21 |
| 8916 | 1975 | Graduation | Divorced | 36627 | 2 | 0 | 78 | 9 | 5 | 0 | 0 | 1 |
| 8017 | 1981 | 2n Cycle | Married | 51111 | 1 | 1 | 83 | 22 | 19 | 6 | 5 | 3 |
| 5830 | 1972 | PhD | Single | 86857 | 0 | 0 | 96 | 899 | 838 | 133 | 102 | 40 |
| 4597 | 1970 | PhD | Together | 82072 | 0 | 0 | 67 | 889 | 685 | 168 | 92 | 129 |
| 7023 | 1953 | PhD | Single | 46231 | 2 | 1 | 87 | 189 | 55 | 0 | 5 | 12 |
| 8086 | 1959 | Graduation | Married | 42243 | 1 | 1 | 34 | 48 | 2 | 0 | 0 | 5 |
| 8825 | 1962 | Graduation | Together | 51195 | 1 | 1 | 46 | 230 | 156 | 82 | 24 | 58 |
| 2930 | 1978 | Master | Single | 68092 | 0 | 0 | 7 | 852 | 207 | 78 | 36 | 48 |
| 1928 | 1973 | Graduation | Married | 31814 | 1 | 0 | 73 | 35 | 20 | 4 | 1 | 20 |
| 7108 | 1965 | Master | Widow | 51390 | 1 | 1 | 54 | 205 | 47 | 23 | 2 | 56 |
| 10925 | 1983 | Graduation | Married | 76630 | 0 | 0 | 93 | 255 | 446 | 40 | 56 | 175 |
| 9960 | 1991 | Basic | Single | 26868 | 1 | 0 | 52 | 0 | 1 | 8 | 3 | 2 |
| 8800 | 1943 | PhD | Divorced | 48948 | 0 | 0 | 53 | 437 | 206 | 160 | 49 | 42 |
| 9224 | 1972 | PhD | Single | 55260 | 0 | 1 | 81 | 825 | 53 | 11 | 0 | 242 |
| 5519 | 1956 | Graduation | Together | 64090 | 0 | 1 | 8 | 316 | 161 | 76 | 51 | 135 |
| 5046 | 1958 | Graduation | Divorced | 78331 | 0 | 1 | 97 | 756 | 354 | 160 | 169 | 61 |
| 7037 | 1974 | PhD | Married | 37087 | 1 | 0 | 50 | 194 | 134 | 15 | 0 | 3 |
| 905 | 1986 | Graduation | Divorced | 21846 | 1 | 0 | 38 | 7 | 18 | 6 | 10 | 26 |
| 8624 | 1958 | Graduation | Married | 81320 | 0 | 0 | 61 | 183 | 493 | 59 | 103 | 57 |
| 8945 | 1970 | Graduation | Divorced | 54137 | 0 | 1 | 46 | 171 | 11 | 0 | 1 | 20 |
| 6445 | 1967 | Graduation | Together | 66825 | 0 | 0 | 73 | 243 | 405 | 29 | 40 | 40 |
| 2727 | 1973 | Graduation | Together | 57100 | 0 | 0 | 19 | 181 | 69 | 39 | 3 | 96 |
| 6404 | 1969 | Graduation | Together | 58917 | 1 | 2 | 10 | 151 | 89 | 0 | 7 | 28 |
| 11074 | 1977 | Graduation | Single | 85072 | 0 | 0 | 94 | 494 | 391 | 194 | 11 | 241 |
| 10150 | 1961 | Graduation | Single | 86429 | 0 | 0 | 10 | 464 | 873 | 29 | 18 | 37 |
| 1968 | 1971 | Graduation | Widow | 45684 | 1 | 0 | 37 | 5 | 5 | 10 | 0 | 7 |
| 6534 | 1974 | Graduation | Together | 47889 | 1 | 0 | 94 | 29 | 29 | 0 | 5 | 4 |
| 9485 | 1986 | PhD | Married | 45921 | 0 | 0 | 23 | 102 | 49 | 24 | 3 | 12 |
| 7053 | 1966 | PhD | Single | 78420 | 0 | 0 | 75 | 604 | 674 | 91 | 28 | 28 |
| 4654 | 1992 | Graduation | Together | 75114 | 0 | 0 | 40 | 571 | 523 | 63 | 60 | 24 |
| 9760 | 1963 | PhD | Widow | 52278 | 0 | 1 | 24 | 953 | 71 | 0 | 0 | 174 |
| 1048 | 1972 | Master | Married | 35641 | 1 | 0 | 11 | 63 | 67 | 8 | 9 | 28 |
| 10619 | 1994 | Graduation | Single | 95529 | 0 | 0 | 29 | 770 | 890 | 250 | 27 | 24 |
| 9308 | 1954 | Graduation | Married | 62820 | 0 | 0 | 51 | 398 | 265 | 138 | 61 | 53 |
| 10505 | 1960 | Master | Together | 73113 | 0 | 0 | 86 | 741 | 154 | 50 | 9 | 28 |
| 8362 | 1982 | PhD | Married | 84169 | 0 | 0 | 9 | 1478 | 403 | 0 | 19 | 0 |
| 2625 | 1954 | 2n Cycle | Single | 42607 | 0 | 1 | 30 | 156 | 56 | 30 | 32 | 47 |
| 4637 | 1954 | PhD | Single | 74637 | 0 | 0 | 73 | 960 | 464 | 146 | 0 | 16 |
| 9972 | 1955 | PhD | Together | 46015 | 1 | 1 | 25 | 38 | 2 | 0 | 0 | 6 |
| 4483 | 1993 | Graduation | Single | 72354 | 0 | 0 | 67 | 315 | 473 | 220 | 12 | 182 |
| 4487 | 1969 | Master | Single | 39858 | 1 | 0 | 67 | 15 | 25 | 2 | 7 | 26 |
| 4988 | 1948 | PhD | Married | 34469 | 1 | 1 | 58 | 19 | 20 | 0 | 5 | 12 |
| 8931 | 1986 | Graduation | Together | 83033 | 1 | 0 | 82 | 812 | 431 | 237 | 149 | 33 |
| 5871 | 1979 | Master | Together | 24401 | 0 | 0 | 98 | 73 | 217 | 10 | 24 | 115 |
| 2008 | 1978 | Graduation | Married | 77583 | 0 | 0 | 93 | 372 | 384 | 250 | 12 | 108 |
| 3139 | 1982 | 2n Cycle | Single | 74116 | 0 | 0 | 53 | 871 | 704 | 145 | 55 | 166 |
| 10037 | 1993 | Graduation | Single | 74293 | 0 | 0 | 66 | 375 | 335 | 93 | 91 | 81 |
| 10673 | 1976 | PhD | Married | 68397 | 0 | 1 | 6 | 760 | 466 | 17 | 13 | 80 |
| 5303 | 1974 | PhD | Together | 79632 | 0 | 0 | 42 | 471 | 510 | 99 | 21 | 12 |
| 538 | 1989 | Graduation | Single | 46107 | 1 | 0 | 78 | 31 | 27 | 16 | 9 | 33 |
| 7922 | 1951 | PhD | Single | 64950 | 0 | 1 | 29 | 819 | 72 | 12 | 0 | 63 |
| 5692 | 1989 | Basic | Married | 25443 | 1 | 0 | 82 | 1 | 3 | 8 | 9 | 7 |
| 4843 | 1952 | Graduation | Single | 75127 | 0 | 0 | 92 | 203 | 305 | 46 | 17 | 227 |
| 6383 | 1971 | PhD | Together | 32892 | 1 | 0 | 78 | 26 | 15 | 2 | 1 | 2 |
| 1628 | 1971 | Graduation | Together | 71796 | 0 | 0 | 54 | 354 | 311 | 167 | 75 | 32 |
| 1204 | 1970 | PhD | Married | 67536 | 0 | 1 | 45 | 1253 | 447 | 23 | 71 | 35 |
| 3673 | 1971 | Graduation | Single | 55239 | 0 | 1 | 59 | 371 | 238 | 23 | 24 | 106 |
| 760 | 1975 | PhD | Divorced | 60554 | 1 | 0 | 8 | 588 | 76 | 110 | 15 | 15 |
| 8957 | 1952 | 2n Cycle | Single | 64831 | 1 | 1 | 51 | 480 | 249 | 75 | 86 | 144 |
| 4128 | 1962 | PhD | Together | 56067 | 0 | 1 | 51 | 517 | 54 | 16 | 6 | 120 |
| 6810 | 1983 | Graduation | Divorced | 82025 | 0 | 0 | 76 | 267 | 606 | 48 | 70 | 98 |
| 5386 | 1953 | Graduation | Together | 94384 | 0 | 0 | 62 | 1111 | 790 | 160 | 45 | 172 |
| 8700 | 1986 | Basic | Single | 14906 | 0 | 0 | 86 | 7 | 14 | 7 | 16 | 15 |
| 3202 | 1987 | PhD | Married | 51563 | 0 | 0 | 60 | 1166 | 48 | 0 | 0 | 36 |
| 1328 | 1982 | 2n Cycle | Married | 57937 | 0 | 1 | 56 | 261 | 144 | 55 | 48 | 133 |
| 8405 | 1979 | Graduation | Divorced | 68274 | 1 | 1 | 83 | 135 | 51 | 23 | 25 | 46 |
| 6515 | 1977 | Graduation | Together | 39771 | 1 | 0 | 92 | 6 | 18 | 2 | 8 | 14 |
| 2882 | 1975 | 2n Cycle | Divorced | 67893 | 0 | 1 | 31 | 711 | 142 | 49 | 18 | 47 |
| 7574 | 1979 | PhD | Together | 27922 | 1 | 0 | 80 | 11 | 13 | 2 | 4 | 11 |
| 6387 | 1976 | PhD | Together | 52190 | 1 | 1 | 39 | 42 | 17 | 0 | 0 | 18 |
| 5320 | 1973 | Master | Divorced | 44051 | 1 | 1 | 20 | 79 | 58 | 6 | 3 | 18 |
| 5048 | 1971 | PhD | Single | 42767 | 2 | 0 | 53 | 20 | 43 | 19 | 5 | 38 |
| 8146 | 1976 | Master | Together | 46106 | 1 | 1 | 84 | 30 | 8 | 2 | 0 | 14 |
| 10031 | 1976 | PhD | Married | 16927 | 1 | 1 | 50 | 20 | 23 | 3 | 1 | 4 |
| 5748 | 1965 | Graduation | Married | 59754 | 0 | 1 | 96 | 115 | 44 | 4 | 146 | 139 |
| 2134 | 1952 | Graduation | Single | 53700 | 0 | 1 | 94 | 263 | 233 | 69 | 41 | 83 |
| 1523 | 1973 | Graduation | Married | 59041 | 1 | 1 | 25 | 69 | 15 | 2 | 2 | 6 |
| 9665 | 1957 | PhD | Divorced | 54237 | 0 | 1 | 48 | 267 | 30 | 4 | 0 | 57 |
| 4640 | 1967 | Graduation | Divorced | 70647 | 0 | 1 | 65 | 561 | 171 | 25 | 123 | 114 |
| 3635 | 1962 | PhD | Single | 52597 | 0 | 1 | 69 | 492 | 37 | 7 | 0 | 42 |
| 3547 | 1969 | Master | Together | 41021 | 1 | 0 | 12 | 14 | 9 | 6 | 16 | 12 |
| 2456 | 1975 | PhD | Married | 40233 | 0 | 1 | 84 | 80 | 46 | 0 | 17 | 2 |
| 5633 | 1980 | Graduation | Married | 50183 | 1 | 1 | 47 | 97 | 84 | 13 | 10 | 15 |
| 7801 | 1959 | Graduation | Together | 54753 | 0 | 1 | 87 | 197 | 227 | 7 | 59 | 131 |
| 10489 | 1973 | Graduation | Married | 92955 | 0 | 0 | 35 | 693 | 925 | 31 | 24 | 84 |
| 7011 | 1973 | Graduation | Married | 33471 | 1 | 0 | 47 | 43 | 27 | 0 | 9 | 12 |
| 2620 | 1974 | PhD | Married | 34596 | 1 | 0 | 48 | 14 | 2 | 0 | 0 | 7 |
| 3933 | 1980 | Graduation | Together | 44010 | 1 | 0 | 46 | 186 | 234 | 86 | 72 | 48 |
| 10981 | 1988 | Graduation | Married | 84219 | 0 | 0 | 27 | 434 | 400 | 45 | 137 | 45 |
| 1734 | 1968 | PhD | Together | 40706 | 2 | 1 | 37 | 59 | 11 | 4 | 2 | 5 |
| 10995 | 1988 | 2n Cycle | Married | 15716 | 1 | 0 | 8 | 16 | 30 | 8 | 7 | 26 |
| 6357 | 1959 | 2n Cycle | Divorced | 59052 | 0 | 1 | 29 | 230 | 75 | 63 | 57 | 31 |
| 9209 | 1971 | Master | Together | 80573 | 0 | 0 | 85 | 829 | 430 | 60 | 92 | 15 |
| 10286 | 1962 | Graduation | Married | 83715 | 0 | 0 | 2 | 318 | 407 | 150 | 35 | 8 |
| 2611 | 1959 | Master | Together | 82576 | 0 | 0 | 66 | 1206 | 445 | 168 | 18 | 18 |
| 1600 | 1965 | Master | Married | 56962 | 2 | 1 | 60 | 292 | 77 | 10 | 3 | 26 |
| 3308 | 1952 | Graduation | Married | 35704 | 1 | 1 | 54 | 30 | 12 | 2 | 11 | 30 |
| 5407 | 1954 | Graduation | Together | 53103 | 0 | 1 | 70 | 729 | 133 | 11 | 0 | 195 |
| 2166 | 1960 | 2n Cycle | Widow | 46779 | 1 | 1 | 55 | 12 | 3 | 0 | 0 | 7 |
| 3955 | 1965 | Graduation | Divorced | 4861 | 0 | 0 | 20 | 2 | 1 | 1 | 0 | 1 |
| 6634 | 1979 | Master | Divorced | 33462 | 1 | 0 | 78 | 22 | 18 | 0 | 0 | 11 |
| 3056 | 1978 | Graduation | Divorced | 63693 | 0 | 1 | 63 | 587 | 337 | 42 | 87 | 54 |
| 5718 | 1950 | Graduation | Married | 80763 | 0 | 0 | 17 | 674 | 108 | 192 | 42 | 231 |
| 6872 | 1974 | PhD | Married | 65352 | 0 | 1 | 43 | 284 | 84 | 4 | 7 | 23 |
| 8164 | 1978 | PhD | Married | 82170 | 0 | 0 | 13 | 1023 | 651 | 49 | 55 | 37 |
| 4580 | 1969 | Graduation | Married | 75759 | 0 | 0 | 46 | 1394 | 708 | 89 | 91 | 182 |
| 9305 | 1976 | 2n Cycle | Single | 79689 | 0 | 0 | 65 | 311 | 640 | 180 | 37 | 121 |
| 453 | 1956 | PhD | Widow | 35340 | 1 | 1 | 1 | 27 | 12 | 0 | 1 | 5 |
| 8545 | 1954 | Graduation | Divorced | 85683 | 0 | 0 | 6 | 1296 | 311 | 45 | 69 | 51 |
| 9850 | 1972 | 2n Cycle | Married | 24884 | 1 | 0 | 32 | 3 | 7 | 0 | 0 | 3 |
| 7378 | 1981 | Master | Together | 42021 | 1 | 0 | 34 | 393 | 136 | 7 | 5 | 27 |
| 7646 | 1989 | Graduation | Single | 64449 | 1 | 0 | 70 | 218 | 282 | 137 | 35 | 70 |
| 1640 | 1954 | Graduation | Divorced | 64587 | 1 | 1 | 49 | 66 | 16 | 0 | 6 | 20 |
| 5184 | 1995 | Graduation | Single | 34824 | 0 | 0 | 65 | 4 | 11 | 2 | 0 | 4 |
| 8492 | 1978 | Graduation | Together | 75437 | 0 | 0 | 25 | 795 | 545 | 95 | 58 | 0 |
| 11188 | 1957 | Graduation | Together | 26091 | 1 | 1 | 84 | 15 | 19 | 8 | 17 | 20 |
| 1212 | 1973 | Graduation | Married | 52845 | 1 | 0 | 7 | 384 | 292 | 130 | 41 | 64 |
| 9097 | 1956 | Graduation | Divorced | 46086 | 0 | 1 | 34 | 244 | 32 | 7 | 2 | 50 |
| 10473 | 1956 | PhD | Widow | 78028 | 0 | 1 | 38 | 158 | 288 | 25 | 0 | 38 |
| 7962 | 1987 | PhD | Single | 95169 | 0 | 0 | 1 | 1285 | 449 | 106 | 20 | 20 |
| 9984 | 1981 | 2n Cycle | Married | 56337 | 1 | 1 | 25 | 349 | 144 | 28 | 5 | 182 |
| 5527 | 1987 | Graduation | Together | 22434 | 1 | 0 | 25 | 4 | 11 | 3 | 13 | 15 |
| 6374 | 1954 | PhD | Married | 36930 | 0 | 1 | 50 | 223 | 31 | 0 | 2 | 39 |
| 7453 | 1954 | Graduation | Single | 36130 | 0 | 1 | 46 | 157 | 127 | 68 | 56 | 37 |
| 8952 | 1953 | Master | Married | 65569 | 0 | 1 | 96 | 397 | 288 | 20 | 38 | 70 |
| 241 | 1952 | Graduation | Together | 83844 | 0 | 0 | 57 | 901 | 345 | 75 | 31 | 191 |
| 8975 | 1968 | Graduation | Married | 19514 | 1 | 1 | 47 | 14 | 21 | 2 | 1 | 28 |
| 6119 | 1963 | PhD | Single | 36736 | 1 | 1 | 52 | 10 | 3 | 0 | 0 | 4 |
| 5236 | 1979 | Graduation | Together | 77568 | 0 | 1 | 30 | 1230 | 396 | 232 | 178 | 158 |
| 5723 | 1976 | PhD | Together | 49187 | 0 | 1 | 63 | 81 | 31 | 2 | 1 | 0 |
| 1710 | 1978 | Graduation | Single | 30168 | 1 | 0 | 51 | 154 | 66 | 0 | 12 | 27 |
| 1970 | 1968 | Master | Together | 34053 | 0 | 1 | 14 | 63 | 21 | 7 | 0 | 12 |
| 5313 | 1971 | Master | Married | 38196 | 1 | 1 | 20 | 30 | 11 | 0 | 0 | 3 |
| 10634 | 1951 | Master | Married | 59412 | 0 | 0 | 56 | 90 | 165 | 30 | 43 | 11 |
| 7010 | 1965 | 2n Cycle | Married | 70924 | 0 | 0 | 41 | 635 | 254 | 132 | 152 | 76 |
| 8562 | 1969 | Graduation | Together | 54165 | 0 | 0 | 72 | 127 | 73 | 15 | 6 | 11 |
| 3158 | 1973 | Graduation | Married | 32300 | 1 | 0 | 1 | 13 | 6 | 6 | 5 | 6 |
| 4436 | 1976 | Graduation | Single | 20180 | 0 | 0 | 27 | 18 | 24 | 15 | 20 | 18 |
| 5287 | 1973 | Graduation | Married | 34961 | 1 | 0 | 77 | 45 | 26 | 4 | 1 | 1 |
| 2445 | 1974 | PhD | Together | 28440 | 1 | 0 | 87 | 38 | 24 | 0 | 0 | 0 |
| 6059 | 1953 | PhD | Together | 64504 | 1 | 2 | 81 | 986 | 168 | 16 | 0 | 108 |
| 4550 | 1966 | Master | Together | 33564 | 0 | 1 | 51 | 61 | 3 | 0 | 0 | 7 |
| 4240 | 1978 | Graduation | Married | 17345 | 1 | 0 | 79 | 4 | 16 | 17 | 0 | 12 |
| 8911 | 1967 | PhD | Married | 56320 | 0 | 1 | 11 | 201 | 172 | 116 | 77 | 83 |
| 3706 | 1978 | Graduation | Single | 28647 | 1 | 0 | 54 | 19 | 29 | 0 | 12 | 26 |
| 3628 | 1987 | Basic | Single | 15038 | 1 | 0 | 93 | 4 | 11 | 19 | 12 | 26 |
| 10175 | 1958 | PhD | Divorced | 32173 | 0 | 1 | 0 | 18 | 2 | 0 | 0 | 2 |
| 8985 | 1964 | 2n Cycle | Together | 68316 | 0 | 1 | 54 | 806 | 161 | 120 | 11 | 33 |
| 5204 | 1971 | Graduation | Together | 74538 | 0 | 0 | 21 | 380 | 733 | 110 | 112 | 28 |
| 9220 | 1971 | Graduation | Single | 91700 | 0 | 0 | 58 | 576 | 961 | 125 | 115 | 19 |
| 9888 | 1969 | Graduation | Together | 68695 | 0 | 0 | 3 | 458 | 356 | 106 | 50 | 40 |
| 5263 | 1977 | 2n Cycle | Married | 31056 | 1 | 0 | 99 | 5 | 13 | 3 | 8 | 16 |
| 1020 | 1973 | Graduation | Married | 79593 | 0 | 0 | 70 | 350 | 568 | 110 | 133 | 145 |
| 9503 | 1980 | Graduation | Single | 28071 | 0 | 0 | 65 | 39 | 130 | 41 | 26 | 44 |
| 10613 | 1958 | PhD | Together | 37334 | 1 | 1 | 44 | 26 | 16 | 2 | 2 | 15 |
| 67 | 1972 | Master | Single | 46423 | 1 | 1 | 6 | 68 | 16 | 0 | 0 | 8 |
| 6019 | 1971 | PhD | Married | 37126 | 1 | 0 | 9 | 45 | 9 | 4 | 4 | 7 |
| 5863 | 1953 | Graduation | Married | 47703 | 0 | 1 | 95 | 359 | 134 | 13 | 26 | 123 |
| 3717 | 1959 | Graduation | Married | 61180 | 0 | 1 | 70 | 403 | 29 | 6 | 24 | 218 |
| 6730 | 1954 | Graduation | Married | 38998 | 1 | 1 | 92 | 34 | 14 | 0 | 0 | 5 |
| 10749 | 1991 | Graduation | Single | 8028 | 0 | 0 | 62 | 73 | 66 | 7 | 12 | 2 |
| 4998 | 1962 | Graduation | Together | 76081 | 0 | 0 | 85 | 292 | 415 | 63 | 33 | 200 |
| 6287 | 1986 | Graduation | Together | 34728 | 1 | 0 | 2 | 14 | 16 | 0 | 0 | 6 |
| 5985 | 1965 | Master | Single | 33168 | 0 | 1 | 0 | 80 | 37 | 0 | 1 | 3 |
| 4754 | 1966 | Master | Married | 33585 | 0 | 1 | 91 | 30 | 33 | 13 | 6 | 29 |
| 4002 | 1960 | PhD | Married | 77037 | 0 | 1 | 3 | 463 | 333 | 168 | 53 | 10 |
| 8870 | 1984 | Graduation | Together | 35196 | 1 | 0 | 68 | 75 | 141 | 43 | 39 | 187 |
| 966 | 1966 | Graduation | Married | 44529 | 0 | 1 | 98 | 538 | 91 | 17 | 6 | 26 |
| 4767 | 1965 | 2n Cycle | Married | 70924 | 0 | 0 | 41 | 635 | 254 | 132 | 152 | 76 |
| 9725 | 1966 | PhD | Together | 28764 | 1 | 1 | 16 | 8 | 3 | 0 | 0 | 1 |
| 4475 | 1949 | PhD | Married | 69098 | 0 | 0 | 82 | 1315 | 780 | 145 | 0 | 178 |
| 5740 | 1970 | 2n Cycle | Divorced | 25959 | 1 | 1 | 1 | 4 | 12 | 7 | 5 | 26 |
| 5731 | 1983 | Master | Married | 27100 | 1 | 0 | 64 | 12 | 13 | 2 | 0 | 10 |
| 7290 | 1985 | Graduation | Single | 70596 | 0 | 0 | 68 | 347 | 534 | 17 | 0 | 26 |
| 3846 | 1974 | Graduation | Married | 42557 | 0 | 1 | 98 | 192 | 53 | 0 | 5 | 15 |
| 8104 | 1951 | PhD | Married | 53312 | 0 | 0 | 32 | 241 | 12 | 0 | 0 | 25 |
| 4507 | 1952 | Graduation | Single | 72228 | 0 | 0 | 87 | 631 | 491 | 30 | 14 | 56 |
| 11013 | 1987 | Graduation | Together | 67605 | 0 | 0 | 84 | 336 | 282 | 184 | 54 | 54 |
| 4491 | 1949 | Master | Married | 62845 | 1 | 1 | 3 | 1099 | 45 | 0 | 0 | 34 |
| 3759 | 1958 | Graduation | Together | 65196 | 0 | 2 | 34 | 743 | 181 | 12 | 0 | 200 |
| 1162 | 1987 | PhD | Single | 42000 | 0 | 0 | 23 | 124 | 267 | 85 | 59 | 35 |
| 2055 | 1973 | PhD | Divorced | 35860 | 1 | 1 | 37 | 15 | 8 | 4 | 2 | 20 |
| 10766 | 1964 | PhD | Married | 65526 | 0 | 1 | 22 | 397 | 69 | 12 | 0 | 9 |
| 4415 | 1961 | Graduation | Married | 16860 | 1 | 1 | 19 | 10 | 4 | 3 | 3 | 14 |
| 3005 | 1992 | Graduation | Single | 83528 | 0 | 0 | 7 | 530 | 678 | 134 | 44 | 147 |
| 2223 | 1965 | 2n Cycle | Divorced | 64176 | 0 | 1 | 52 | 1215 | 249 | 64 | 116 | 149 |
| 4817 | 1956 | Graduation | Divorced | 22304 | 0 | 0 | 91 | 3 | 7 | 0 | 4 | 2 |
| 2875 | 1978 | Graduation | Married | 67023 | 0 | 0 | 93 | 444 | 382 | 11 | 8 | 17 |
| 10536 | 1971 | PhD | Together | 32892 | 1 | 0 | 78 | 26 | 15 | 2 | 1 | 2 |
| 11112 | 1966 | Graduation | Together | 70713 | 0 | 1 | 23 | 736 | 279 | 82 | 76 | 190 |
| 3807 | 1955 | Graduation | Together | 59925 | 0 | 1 | 83 | 473 | 176 | 19 | 21 | 56 |
| 9197 | 1953 | Graduation | Married | 39722 | 0 | 1 | 92 | 32 | 5 | 2 | 0 | 8 |
| 10832 | 1958 | Graduation | Together | 46610 | 0 | 0 | 4 | 288 | 30 | 4 | 10 | 125 |
| 6421 | 1961 | Graduation | Together | 88347 | 0 | 0 | 32 | 1050 | 555 | 77 | 138 | 118 |
| 4207 | 1981 | PhD | Married | 87171 | 0 | 0 | 27 | 1001 | 107 | 58 | 44 | 44 |
| 577 | 1976 | 2n Cycle | Together | 26907 | 1 | 1 | 10 | 9 | 7 | 0 | 3 | 2 |
| 10855 | 1968 | Master | Single | 50014 | 1 | 0 | 9 | 234 | 77 | 19 | 10 | 42 |
| 3081 | 1978 | PhD | Married | 41014 | 1 | 0 | 65 | 7 | 6 | 2 | 0 | 3 |
| 3535 | 1965 | Graduation | Single | 66294 | 0 | 0 | 68 | 251 | 334 | 65 | 92 | 117 |
| 247 | 1971 | Graduation | Married | 36715 | 1 | 0 | 16 | 172 | 125 | 21 | 13 | 16 |
| 8707 | 1956 | Graduation | Married | 79456 | 0 | 0 | 12 | 565 | 548 | 64 | 83 | 99 |
| 9523 | 1982 | Graduation | Together | 40479 | 1 | 0 | 95 | 5 | 8 | 2 | 0 | 0 |
| 6072 | 1970 | Master | Single | 75345 | 0 | 0 | 16 | 918 | 842 | 99 | 38 | 133 |
| 6295 | 1977 | Graduation | Married | 54233 | 0 | 1 | 46 | 652 | 158 | 21 | 0 | 142 |
| 10914 | 1970 | Graduation | Single | 24163 | 1 | 1 | 3 | 4 | 7 | 2 | 1 | 2 |
| 1509 | 1958 | PhD | Together | 84460 | 0 | 0 | 80 | 152 | 103 | 106 | 54 | 81 |
| 5577 | 1983 | Graduation | Together | 43776 | 1 | 0 | 77 | 8 | 9 | 2 | 1 | 3 |
| 7348 | 1958 | PhD | Single | 71691 | 0 | 0 | 0 | 336 | 411 | 240 | 32 | 43 |
| 1127 | 1973 | PhD | Married | 85844 | 0 | 0 | 62 | 938 | 843 | 25 | 95 | 38 |
| 1833 | 1974 | PhD | Single | 39190 | 1 | 0 | 91 | 68 | 18 | 19 | 8 | 12 |
| 4944 | 1959 | Graduation | Together | 71367 | 0 | 0 | 24 | 227 | 389 | 42 | 21 | 75 |
| 9080 | 1972 | PhD | Single | 38578 | 1 | 1 | 2 | 38 | 22 | 3 | 3 | 3 |
| 6466 | 1965 | PhD | Married | 57236 | 1 | 1 | 22 | 105 | 9 | 2 | 1 | 4 |
| 9964 | 1979 | Graduation | Single | 61825 | 0 | 1 | 56 | 162 | 100 | 55 | 30 | 27 |
| 4790 | 1958 | Graduation | Divorced | 79803 | 0 | 1 | 54 | 574 | 216 | 21 | 16 | 33 |
| 10245 | 1986 | 2n Cycle | Single | 80910 | 0 | 0 | 71 | 160 | 369 | 67 | 39 | 41 |
| 1109 | 1982 | Master | Together | 27590 | 1 | 0 | 38 | 6 | 5 | 0 | 0 | 1 |
| 6001 | 1979 | Graduation | Married | 56775 | 0 | 1 | 62 | 614 | 160 | 58 | 35 | 35 |
| 5538 | 1975 | Graduation | Divorced | 83829 | 0 | 0 | 78 | 897 | 430 | 186 | 161 | 27 |
| 10552 | 1979 | 2n Cycle | Married | 54210 | 0 | 1 | 18 | 70 | 109 | 80 | 9 | 45 |
| 1545 | 1986 | Graduation | Married | 38508 | 1 | 0 | 95 | 120 | 206 | 25 | 19 | 54 |
| 7409 | 1970 | Graduation | Together | 53187 | 1 | 0 | 66 | 211 | 30 | 7 | 7 | 10 |
| 4444 | 1972 | Graduation | Married | 30023 | 1 | 0 | 28 | 11 | 16 | 7 | 6 | 21 |
| 146 | 1960 | PhD | Single | 76045 | 0 | 0 | 78 | 760 | 400 | 17 | 93 | 0 |
| 6271 | 1952 | PhD | Married | 50870 | 0 | 1 | 13 | 53 | 8 | 0 | 0 | 2 |
| 10065 | 1970 | 2n Cycle | Married | 15315 | 0 | 0 | 27 | 7 | 13 | 15 | 8 | 17 |
| 4741 | 1974 | 2n Cycle | Married | 65463 | 1 | 0 | 17 | 391 | 70 | 21 | 32 | 16 |
| 246 | 1965 | Graduation | Married | 66480 | 1 | 1 | 71 | 199 | 57 | 20 | 21 | 6 |
| 375 | 1954 | Graduation | Divorced | 76773 | 0 | 0 | 79 | 516 | 449 | 86 | 33 | 16 |
| 1524 | 1983 | 2n Cycle | Single | 81698 | 0 | 0 | 1 | 709 | 115 | 30 | 160 | 45 |
| 10022 | 1973 | PhD | Single | 54466 | 1 | 1 | 78 | 12 | 4 | 0 | 0 | 0 |
| 7451 | 1960 | Master | Single | 98777 | 0 | 0 | 23 | 1000 | 711 | 125 | 115 | 38 |
| 11010 | 1984 | PhD | Single | 16269 | 1 | 0 | 75 | 19 | 18 | 3 | 1 | 0 |
| 4356 | 1971 | Graduation | Together | 71819 | 0 | 1 | 70 | 1224 | 140 | 0 | 14 | 168 |
| 3885 | 1983 | PhD | Married | 33569 | 1 | 0 | 10 | 16 | 18 | 3 | 0 | 24 |
| 1175 | 1983 | Master | Married | 36262 | 0 | 0 | 24 | 88 | 54 | 64 | 28 | 153 |
| 880 | 1966 | Basic | Together | 22634 | 0 | 0 | 47 | 2 | 11 | 8 | 6 | 46 |
| 2320 | 1978 | 2n Cycle | Married | 47025 | 0 | 1 | 98 | 508 | 59 | 23 | 5 | 29 |
| 850 | 1968 | Graduation | Single | 70566 | 0 | 1 | 4 | 381 | 215 | 84 | 28 | 21 |
| 4713 | 1979 | PhD | Married | 31605 | 1 | 0 | 15 | 74 | 42 | 2 | 1 | 6 |
| 675 | 1973 | Master | Divorced | 52034 | 1 | 1 | 67 | 146 | 93 | 7 | 13 | 73 |
| 5025 | 1979 | Graduation | Single | 48526 | 1 | 0 | 32 | 23 | 23 | 43 | 20 | 9 |
| 2308 | 1954 | Graduation | Married | 46734 | 0 | 1 | 40 | 110 | 137 | 26 | 23 | 29 |
| 5995 | 1962 | Graduation | Divorced | 39552 | 1 | 1 | 54 | 165 | 147 | 4 | 24 | 41 |
| 6749 | 1966 | Graduation | Single | 86358 | 1 | 1 | 78 | 957 | 494 | 82 | 47 | 95 |
| 1010 | 1977 | Graduation | Together | 46931 | 2 | 1 | 94 | 41 | 17 | 3 | 1 | 16 |
| 8977 | 1985 | Basic | Single | 16581 | 0 | 0 | 51 | 1 | 4 | 2 | 3 | 11 |
| 4756 | 1952 | 2n Cycle | Divorced | 63998 | 0 | 0 | 42 | 176 | 818 | 0 | 33 | 112 |
| 3412 | 1951 | Master | Married | 67381 | 0 | 1 | 67 | 815 | 53 | 11 | 0 | 70 |
| 606 | 1967 | Graduation | Single | 25930 | 1 | 1 | 87 | 6 | 2 | 2 | 0 | 4 |
| 5961 | 1978 | Graduation | Married | 42693 | 1 | 0 | 29 | 8 | 20 | 6 | 3 | 16 |
| 2975 | 1976 | Graduation | Together | 85606 | 0 | 1 | 89 | 717 | 864 | 219 | 30 | 84 |
| 2894 | 1985 | Graduation | Single | 72903 | 0 | 0 | 74 | 1067 | 750 | 0 | 19 | 39 |
| 7613 | 1974 | 2n Cycle | Together | 49669 | 1 | 0 | 97 | 166 | 107 | 11 | 8 | 29 |
| 10542 | 1968 | PhD | Married | 36778 | 1 | 1 | 63 | 29 | 34 | 2 | 4 | 4 |
| 8015 | 1962 | PhD | Divorced | 85696 | 0 | 0 | 88 | 714 | 395 | 116 | 0 | 12 |
| 10617 | 1989 | Master | Divorced | 10979 | 0 | 0 | 34 | 8 | 10 | 2 | 2 | 4 |
| 11166 | 1961 | Graduation | Married | 49678 | 0 | 1 | 81 | 229 | 56 | 3 | 2 | 20 |
| 849 | 1953 | Master | Together | 56129 | 0 | 1 | 65 | 320 | 133 | 39 | 72 | 48 |
| 523 | 1989 | Graduation | Married | 37155 | 1 | 0 | 51 | 23 | 26 | 7 | 15 | 3 |
| 4066 | 1978 | 2n Cycle | Divorced | 21282 | 1 | 0 | 76 | 1 | 8 | 4 | 8 | 20 |
| 8414 | 1962 | PhD | Single | 33419 | 0 | 1 | 76 | 56 | 12 | 0 | 0 | 18 |
| 819 | 1945 | Graduation | Widow | 63285 | 0 | 0 | 84 | 508 | 249 | 50 | 38 | 134 |
| 4961 | 1974 | Master | Together | 21255 | 1 | 0 | 56 | 29 | 25 | 2 | 2 | 3 |
| 749 | 1981 | Graduation | Together | 42162 | 1 | 0 | 31 | 46 | 59 | 2 | 4 | 27 |
| 5430 | 1956 | Graduation | Together | 54450 | 1 | 1 | 0 | 454 | 171 | 8 | 19 | 32 |
| 7755 | 1954 | PhD | Married | 57744 | 0 | 1 | 91 | 350 | 39 | 0 | 0 | 19 |
| 10525 | 1986 | Graduation | Single | 26576 | 1 | 0 | 40 | 10 | 8 | 0 | 0 | 9 |
| 1453 | 1943 | PhD | Widow | 57513 | 0 | 0 | 59 | 735 | 183 | 52 | 20 | 30 |
| 8310 | 1964 | Graduation | Together | 68142 | 0 | 1 | 96 | 897 | 196 | 91 | 112 | 37 |
| 10710 | 1979 | Graduation | Married | 7500 | 0 | 1 | 61 | 5 | 3 | 3 | 0 | 5 |
| 5031 | 1974 | Graduation | Together | 83145 | 0 | 0 | 14 | 777 | 731 | 39 | 137 | 114 |
| 2613 | 1960 | Master | Married | 54197 | 0 | 1 | 16 | 162 | 37 | 6 | 13 | 13 |
| 213 | 1963 | PhD | Single | 23091 | 1 | 1 | 98 | 35 | 11 | 0 | 0 | 2 |
| 967 | 1976 | Graduation | Married | 46049 | 1 | 1 | 11 | 342 | 112 | 19 | 14 | 19 |
| 1077 | 1974 | Graduation | Together | 56715 | 0 | 0 | 52 | 258 | 239 | 237 | 172 | 9 |
| 7959 | 1961 | Graduation | Married | 79410 | 0 | 0 | 19 | 658 | 483 | 123 | 13 | 13 |
| 640 | 1951 | Graduation | Married | 57304 | 0 | 1 | 61 | 356 | 329 | 138 | 17 | 106 |
| 4252 | 1965 | Graduation | Married | 44375 | 0 | 1 | 73 | 213 | 28 | 7 | 7 | 41 |
| 8432 | 1956 | Graduation | Together | 54450 | 1 | 1 | 0 | 454 | 171 | 8 | 19 | 32 |
| 6218 | 1965 | Graduation | Married | 59594 | 0 | 1 | 74 | 457 | 29 | 0 | 0 | 9 |
| 6905 | 1994 | Graduation | Together | 80685 | 0 | 0 | 55 | 241 | 604 | 34 | 26 | 54 |
| 5922 | 1974 | PhD | Married | 40344 | 0 | 1 | 48 | 210 | 6 | 0 | 0 | 2 |
| 3598 | 1972 | Graduation | Married | 62710 | 0 | 1 | 53 | 441 | 83 | 7 | 29 | 11 |
| 6116 | 1968 | 2n Cycle | Married | 48985 | 0 | 1 | 13 | 19 | 18 | 10 | 7 | 8 |
| 6263 | 1968 | Graduation | Together | 35322 | 1 | 2 | 34 | 28 | 37 | 12 | 7 | 13 |
| 10486 | 1948 | Graduation | Married | 77142 | 0 | 0 | 54 | 476 | 162 | 29 | 151 | 97 |
| 2410 | 1969 | Graduation | Single | 81657 | 0 | 0 | 69 | 364 | 425 | 158 | 60 | 50 |
| 193 | 1996 | Basic | Married | 14421 | 0 | 0 | 81 | 0 | 2 | 3 | 3 | 8 |
| 3363 | 1974 | 2n Cycle | Married | 20130 | 0 | 0 | 99 | 0 | 3 | 7 | 6 | 12 |
| 8278 | 1990 | PhD | Married | 74214 | 0 | 0 | 3 | 863 | 547 | 86 | 99 | 33 |
| 10660 | 1957 | Master | Married | 66726 | 1 | 1 | 61 | 349 | 35 | 0 | 0 | 47 |
| 8686 | 1979 | Basic | Together | 23724 | 1 | 0 | 65 | 5 | 15 | 0 | 18 | 14 |
| 1604 | 1960 | Master | Married | 47353 | 0 | 1 | 93 | 184 | 19 | 8 | 8 | 4 |
| 5907 | 1952 | Master | Married | 33444 | 1 | 1 | 24 | 8 | 8 | 0 | 0 | 2 |
| 10669 | 1981 | Graduation | Married | 54386 | 0 | 1 | 8 | 277 | 64 | 62 | 21 | 25 |
| 2918 | 1981 | Graduation | Divorced | 28510 | 1 | 1 | 72 | 44 | 19 | 0 | 4 | 19 |
| 5735 | 1991 | Master | Single | 90638 | 0 | 0 | 29 | 1156 | 915 | 94 | 144 | 96 |
| 359 | 1950 | Graduation | Together | 48070 | 0 | 1 | 33 | 373 | 83 | 6 | 9 | 19 |
| 8387 | 1957 | Graduation | Married | 43140 | 0 | 1 | 68 | 134 | 76 | 6 | 0 | 11 |
| 1829 | 1961 | PhD | Divorced | 54959 | 0 | 1 | 55 | 1148 | 60 | 0 | 0 | 24 |
| 3839 | 1958 | Basic | Single | 15056 | 1 | 1 | 76 | 6 | 3 | 21 | 6 | 40 |
| 9392 | 1971 | Graduation | Single | 26954 | 1 | 0 | 17 | 4 | 11 | 0 | 0 | 1 |
| 2292 | 1985 | Graduation | Single | 22327 | 1 | 0 | 94 | 5 | 8 | 2 | 0 | 5 |
| 10466 | 1965 | Graduation | Married | 44393 | 1 | 1 | 86 | 24 | 20 | 2 | 2 | 10 |
| 9855 | 1952 | PhD | Single | 62000 | 0 | 1 | 25 | 899 | 101 | 0 | 0 | 20 |
| 4088 | 1962 | PhD | Together | 31497 | 0 | 1 | 22 | 108 | 28 | 13 | 1 | 4 |
| 5231 | 1974 | 2n Cycle | Married | 45894 | 0 | 2 | 15 | 27 | 7 | 0 | 2 | 13 |
| 590 | 1970 | Master | Divorced | 78579 | 0 | 0 | 35 | 816 | 549 | 216 | 66 | 99 |
| 8732 | 1969 | Master | Widow | 67369 | 0 | 1 | 81 | 1298 | 70 | 37 | 14 | 42 |
| 2315 | 1960 | Graduation | Divorced | 58401 | 0 | 1 | 55 | 10 | 11 | 17 | 29 | 29 |
| 3515 | 1952 | Graduation | Single | 62307 | 0 | 1 | 94 | 87 | 34 | 10 | 6 | 10 |
| 2245 | 1969 | Master | Married | 43641 | 1 | 1 | 50 | 57 | 51 | 4 | 2 | 23 |
| 6283 | 1968 | Master | Divorced | 63841 | 0 | 1 | 64 | 635 | 100 | 20 | 7 | 131 |
| 2246 | 1965 | 2n Cycle | Married | 46891 | 0 | 1 | 91 | 43 | 23 | 29 | 15 | 61 |
| 6606 | 1969 | Master | Married | 70091 | 1 | 0 | 11 | 964 | 137 | 15 | 0 | 11 |
| 5545 | 1972 | PhD | Married | 78075 | 0 | 0 | 72 | 572 | 259 | 34 | 35 | 80 |
| 7342 | 1961 | 2n Cycle | Widow | 59184 | 0 | 1 | 6 | 341 | 113 | 259 | 151 | 66 |
| 837 | 1977 | Graduation | Married | 54809 | 1 | 1 | 0 | 63 | 57 | 13 | 13 | 22 |
| 9500 | 1959 | Graduation | Married | 58113 | 0 | 1 | 66 | 221 | 169 | 102 | 78 | 84 |
| 3602 | 1958 | Master | Married | 51412 | 0 | 1 | 42 | 140 | 29 | 4 | 5 | 14 |
| 234 | 1979 | Graduation | Divorced | 15287 | 1 | 0 | 60 | 1 | 8 | 4 | 3 | 13 |
| 2995 | 1957 | Master | Together | 66636 | 0 | 0 | 64 | 291 | 689 | 84 | 10 | 0 |
| 1118 | 1956 | Master | Married | 50965 | 0 | 1 | 87 | 544 | 85 | 8 | 6 | 29 |
| 7789 | 1965 | PhD | Married | 84618 | 0 | 0 | 96 | 684 | 801 | 21 | 66 | 0 |
| 3068 | 1990 | Graduation | Married | 18351 | 0 | 0 | 1 | 1 | 9 | 0 | 14 | 7 |
| 8955 | 1957 | PhD | Together | 40451 | 0 | 2 | 54 | 35 | 4 | 0 | 0 | 10 |
| 945 | 1965 | Graduation | Together | 36317 | 0 | 1 | 53 | 87 | 25 | 3 | 2 | 13 |
| 5644 | 1957 | Graduation | Together | 42213 | 0 | 1 | 96 | 309 | 24 | 4 | 3 | 20 |
| 7192 | 1955 | Graduation | Together | 65748 | 0 | 1 | 58 | 172 | 93 | 95 | 78 | 34 |
| 2324 | 1972 | Graduation | Together | 77044 | 0 | 1 | 12 | 625 | 242 | 50 | 34 | 76 |
| 697 | 1969 | Graduation | Together | 74918 | 0 | 0 | 78 | 972 | 913 | 25 | 19 | 59 |
| 3439 | 1972 | Graduation | Married | 56721 | 1 | 1 | 64 | 157 | 39 | 6 | 13 | 75 |
| 1506 | 1975 | Graduation | Single | 42160 | 1 | 1 | 26 | 48 | 45 | 3 | 15 | 20 |
| 232 | 1965 | Graduation | Single | 61559 | 0 | 1 | 8 | 279 | 88 | 32 | 14 | 34 |
| 8876 | 1963 | PhD | Together | 33629 | 1 | 1 | 49 | 132 | 16 | 0 | 0 | 4 |
| 4500 | 1991 | PhD | Together | 68682 | 0 | 0 | 56 | 919 | 505 | 99 | 30 | 45 |
| 9739 | 1963 | Graduation | Single | 34377 | 0 | 1 | 55 | 62 | 22 | 3 | 1 | 26 |
| 10395 | 1986 | Basic | Single | 8940 | 1 | 0 | 25 | 1 | 3 | 4 | 6 | 42 |
| 1176 | 1973 | Graduation | Married | 26228 | 1 | 0 | 50 | 2 | 4 | 3 | 1 | 9 |
| 1627 | 1957 | 2n Cycle | Divorced | 77297 | 0 | 0 | 84 | 408 | 109 | 48 | 122 | 41 |
| 938 | 1981 | Graduation | Married | 40211 | 1 | 1 | 30 | 51 | 7 | 2 | 1 | 25 |
| 2740 | 1958 | PhD | Widow | 33438 | 1 | 1 | 81 | 62 | 16 | 3 | 2 | 6 |
| 257 | 1959 | PhD | Married | 75032 | 0 | 1 | 74 | 952 | 180 | 47 | 12 | 12 |
| 4058 | 1955 | PhD | Single | 61284 | 0 | 0 | 76 | 618 | 106 | 20 | 7 | 45 |
| 7736 | 1986 | Graduation | Married | 22518 | 1 | 0 | 36 | 11 | 12 | 2 | 2 | 27 |
| 8210 | 1975 | Master | Married | 54730 | 0 | 1 | 64 | 318 | 17 | 4 | 7 | 56 |
| 833 | 1955 | Master | Married | 38452 | 1 | 1 | 62 | 56 | 14 | 0 | 0 | 2 |
| 6230 | 1971 | Graduation | Divorced | 44421 | 1 | 1 | 53 | 110 | 59 | 7 | 1 | 7 |
| 7325 | 1986 | PhD | Together | 38197 | 1 | 0 | 86 | 23 | 11 | 2 | 1 | 3 |
| 1307 | 1978 | Graduation | Divorced | 41986 | 0 | 1 | 15 | 27 | 8 | 8 | 3 | 12 |
| 1502 | 1983 | Graduation | Together | 28427 | 1 | 0 | 67 | 18 | 19 | 3 | 3 | 6 |
| 6211 | 1976 | PhD | Together | 37395 | 1 | 0 | 47 | 18 | 9 | 0 | 1 | 11 |
| 843 | 1971 | Graduation | Married | 64722 | 1 | 0 | 47 | 303 | 280 | 60 | 147 | 15 |
| 4174 | 1956 | Master | Together | 55249 | 0 | 1 | 81 | 97 | 19 | 2 | 0 | 11 |
| 9757 | 1972 | Graduation | Together | 84906 | 0 | 0 | 98 | 997 | 414 | 99 | 30 | 76 |
| 6918 | 1989 | Graduation | Married | 28691 | 1 | 0 | 56 | 5 | 13 | 8 | 0 | 4 |
| 286 | 1952 | Graduation | Single | 44213 | 1 | 1 | 48 | 95 | 35 | 0 | 4 | 7 |
| 11086 | 1984 | Basic | Single | 25707 | 1 | 0 | 18 | 1 | 2 | 3 | 6 | 3 |
| 1921 | 1967 | PhD | Married | 59062 | 2 | 1 | 74 | 46 | 12 | 3 | 0 | 9 |
| 4138 | 1962 | Graduation | Single | 76624 | 0 | 1 | 68 | 411 | 147 | 54 | 115 | 66 |
| 7718 | 1947 | Master | Together | 66000 | 0 | 0 | 36 | 244 | 270 | 101 | 0 | 45 |
| 1291 | 1978 | PhD | Together | 27683 | 1 | 0 | 90 | 152 | 121 | 12 | 12 | 45 |
| 6862 | 1971 | Graduation | Divorced | 1730 | 0 | 0 | 65 | 1 | 3 | 1 | 1 | 1 |
| 4136 | 1992 | Basic | Single | 7500 | 1 | 0 | 63 | 10 | 18 | 8 | 26 | 40 |
| 803 | 1968 | Graduation | Together | 40521 | 1 | 1 | 82 | 12 | 5 | 0 | 0 | 4 |
| 4298 | 1973 | PhD | Together | 20427 | 1 | 0 | 63 | 5 | 4 | 0 | 0 | 1 |
| 10833 | 1975 | Graduation | Married | 65106 | 0 | 1 | 55 | 790 | 133 | 12 | 0 | 19 |
| 9606 | 1965 | PhD | Married | 69969 | 0 | 0 | 64 | 882 | 514 | 38 | 29 | 44 |
| 8534 | 1952 | Graduation | Married | 67433 | 0 | 2 | 51 | 615 | 259 | 12 | 48 | 30 |
| 5153 | 1967 | PhD | Married | 77766 | 0 | 1 | 97 | 1004 | 265 | 115 | 59 | 27 |
| 961 | 1972 | Graduation | Married | 74716 | 0 | 1 | 92 | 133 | 421 | 13 | 195 | 71 |
| 5011 | 1963 | Graduation | Divorced | 68118 | 0 | 1 | 51 | 595 | 123 | 10 | 23 | 154 |
| 6653 | 1970 | PhD | Married | 55158 | 1 | 1 | 72 | 293 | 87 | 4 | 11 | 23 |
| 9094 | 1955 | 2n Cycle | Married | 62972 | 0 | 1 | 39 | 313 | 47 | 20 | 0 | 192 |
| 810 | 1975 | Graduation | Married | 74190 | 0 | 1 | 49 | 151 | 86 | 168 | 91 | 64 |
| 5493 | 1976 | Graduation | Married | 39356 | 1 | 1 | 21 | 15 | 2 | 0 | 0 | 6 |
| 2147 | 1969 | Graduation | Together | 76653 | 0 | 0 | 91 | 736 | 946 | 219 | 189 | 126 |
| 5107 | 1973 | PhD | Divorced | 35860 | 1 | 1 | 37 | 15 | 8 | 4 | 2 | 20 |
| 3979 | 1983 | PhD | Divorced | 90687 | 0 | 0 | 98 | 982 | 672 | 23 | 34 | 51 |
| 6049 | 1982 | Master | Together | 73450 | 0 | 0 | 85 | 1142 | 415 | 90 | 69 | 37 |
| 8147 | 1960 | Graduation | Married | 31454 | 1 | 1 | 40 | 28 | 11 | 0 | 0 | 9 |
| 1857 | 1952 | Graduation | Single | 47139 | 1 | 1 | 2 | 46 | 12 | 0 | 2 | 23 |
| 3910 | 1975 | Graduation | Divorced | 83829 | 0 | 0 | 78 | 897 | 430 | 186 | 161 | 27 |
| 5207 | 1963 | PhD | Married | 53378 | 1 | 1 | 41 | 489 | 152 | 8 | 6 | 132 |
| 11114 | 1970 | Graduation | Together | 19656 | 1 | 0 | 94 | 25 | 9 | 6 | 8 | 32 |
| 5429 | 1948 | PhD | Married | 45579 | 0 | 1 | 10 | 145 | 33 | 2 | 1 | 1 |
| 9400 | 1958 | 2n Cycle | Single | 85485 | 0 | 0 | 73 | 630 | 611 | 44 | 18 | 54 |
| 1740 | 1944 | Graduation | Married | 55956 | 0 | 0 | 22 | 760 | 104 | 50 | 9 | 38 |
| 7488 | 1963 | Master | Single | 64191 | 0 | 1 | 30 | 420 | 186 | 151 | 38 | 15 |
| 195 | 1972 | Graduation | Single | 38808 | 1 | 0 | 21 | 125 | 52 | 3 | 19 | 30 |
| 635 | 1966 | Master | Married | 57183 | 1 | 1 | 51 | 464 | 64 | 7 | 0 | 70 |
| 7527 | 1968 | Master | Divorced | 23748 | 1 | 0 | 97 | 6 | 29 | 12 | 15 | 8 |
| 10319 | 1971 | Graduation | Married | 66303 | 0 | 1 | 56 | 1090 | 96 | 16 | 12 | 60 |
| 2296 | 1975 | Master | Married | 37368 | 1 | 0 | 4 | 3 | 11 | 2 | 2 | 10 |
| 10637 | 1964 | Graduation | Married | 40800 | 1 | 2 | 77 | 24 | 27 | 8 | 30 | 10 |
| 2931 | 1978 | Graduation | Divorced | 71847 | 0 | 0 | 95 | 737 | 106 | 55 | 63 | 210 |
| 907 | 1975 | Graduation | Married | 46149 | 0 | 1 | 36 | 254 | 71 | 4 | 0 | 27 |
| 3698 | 1983 | Graduation | Together | 78687 | 0 | 0 | 13 | 817 | 687 | 145 | 55 | 241 |
| 9516 | 1971 | 2n Cycle | Divorced | 49118 | 0 | 0 | 90 | 620 | 239 | 99 | 98 | 119 |
| 679 | 1957 | PhD | Married | 37633 | 1 | 1 | 49 | 13 | 20 | 0 | 0 | 1 |
| 7384 | 1951 | Master | Together | 39767 | 0 | 0 | 18 | 113 | 204 | 34 | 26 | 47 |
| 5043 | 1951 | Basic | Married | 26997 | 0 | 0 | 89 | 7 | 78 | 133 | 49 | 144 |
| 5267 | 1970 | Graduation | Divorced | 33986 | 1 | 0 | 43 | 16 | 18 | 2 | 1 | 5 |
| 339 | 1972 | PhD | Married | 57091 | 0 | 1 | 82 | 462 | 24 | 6 | 0 | 4 |
| 2516 | 1969 | 2n Cycle | Married | 46831 | 1 | 1 | 84 | 22 | 10 | 6 | 4 | 34 |
| 9010 | 1972 | Master | Married | 83151 | 0 | 0 | 80 | 968 | 842 | 137 | 42 | 210 |
| 378 | 1971 | Graduation | Married | 52531 | 0 | 0 | 68 | 283 | 151 | 51 | 72 | 125 |
| 4808 | 1956 | Graduation | Married | 15759 | 0 | 0 | 12 | 1 | 5 | 6 | 0 | 3 |
| 5068 | 1971 | Graduation | Single | 22804 | 1 | 0 | 75 | 14 | 7 | 2 | 1 | 1 |
| 7628 | 1973 | 2n Cycle | Married | 43050 | 1 | 0 | 10 | 30 | 24 | 6 | 3 | 8 |
| 7128 | 1977 | PhD | Single | 42997 | 1 | 1 | 91 | 4 | 5 | 0 | 1 | 5 |
| 2811 | 1963 | PhD | Single | 48918 | 1 | 1 | 21 | 52 | 9 | 0 | 0 | 1 |
| 3551 | 1954 | Master | Together | 60033 | 0 | 1 | 28 | 62 | 57 | 19 | 11 | 48 |
| 1663 | 1978 | PhD | Together | 34043 | 1 | 0 | 97 | 20 | 14 | 3 | 0 | 10 |
| 5543 | 1966 | Graduation | Together | 57811 | 0 | 1 | 49 | 545 | 114 | 37 | 21 | 78 |
| 1577 | 1946 | Graduation | Married | 78569 | 0 | 0 | 14 | 558 | 622 | 207 | 175 | 95 |
| 10641 | 1978 | Graduation | Single | 7500 | 1 | 1 | 5 | 6 | 4 | 13 | 4 | 25 |
| 5336 | 1971 | Master | Together | 157733 | 1 | 0 | 37 | 39 | 9 | 2 | 0 | 8 |
| 6024 | 1953 | Graduation | Together | 94384 | 0 | 0 | 62 | 1111 | 790 | 160 | 45 | 172 |
| 1878 | 1985 | 2n Cycle | Married | 23148 | 0 | 0 | 83 | 4 | 8 | 6 | 3 | 10 |
| 3099 | 1970 | Graduation | Divorced | 44267 | 1 | 1 | 48 | 183 | 65 | 3 | 5 | 49 |
| 6055 | 1979 | Graduation | Married | 71626 | 0 | 0 | 94 | 546 | 376 | 94 | 145 | 72 |
| 5841 | 1966 | Graduation | Together | 60894 | 0 | 1 | 61 | 606 | 155 | 10 | 0 | 54 |
| 3972 | 1976 | Graduation | Together | 50200 | 1 | 1 | 70 | 266 | 51 | 8 | 6 | 64 |
| 4394 | 1965 | PhD | Married | 81051 | 0 | 0 | 43 | 1142 | 249 | 38 | 29 | 14 |
| 5758 | 1982 | Graduation | Married | 65169 | 0 | 0 | 23 | 1074 | 69 | 0 | 0 | 46 |
| 6658 | 1972 | Graduation | Together | 59868 | 0 | 1 | 37 | 771 | 154 | 54 | 10 | 154 |
| 4603 | 1960 | PhD | Married | 65695 | 0 | 1 | 50 | 371 | 189 | 0 | 58 | 6 |
| 8427 | 1956 | Master | Single | 64857 | 0 | 0 | 78 | 556 | 717 | 210 | 0 | 43 |
| 10260 | 1965 | Master | Together | 45143 | 0 | 1 | 74 | 202 | 74 | 11 | 5 | 14 |
| 7143 | 1955 | 2n Cycle | Together | 74805 | 0 | 1 | 14 | 209 | 209 | 41 | 162 | 37 |
| 8789 | 1989 | 2n Cycle | Married | 59060 | 1 | 0 | 77 | 35 | 111 | 36 | 40 | 12 |
| 6197 | 1962 | PhD | Single | 27238 | 1 | 1 | 39 | 37 | 17 | 0 | 0 | 3 |
| 4554 | 1965 | Graduation | Together | 47009 | 0 | 1 | 89 | 171 | 73 | 59 | 10 | 90 |
| 4937 | 1973 | 2n Cycle | Married | 46094 | 1 | 1 | 62 | 12 | 20 | 3 | 2 | 5 |
| 1920 | 1972 | Graduation | Married | 40321 | 1 | 1 | 59 | 44 | 21 | 6 | 0 | 27 |
| 8749 | 1984 | Graduation | Together | 37235 | 1 | 0 | 68 | 20 | 9 | 4 | 6 | 20 |
| 1650 | 1960 | Master | Married | 81843 | 0 | 0 | 13 | 779 | 537 | 34 | 69 | 138 |
| 10377 | 1958 | Master | Together | 46692 | 0 | 1 | 37 | 170 | 97 | 24 | 12 | 88 |
| 9206 | 1968 | Graduation | Together | 77382 | 0 | 1 | 36 | 491 | 231 | 112 | 105 | 134 |
| 10971 | 1977 | Graduation | Single | 37774 | 2 | 0 | 28 | 173 | 107 | 7 | 2 | 176 |
| 6398 | 1974 | Basic | Married | 18393 | 1 | 0 | 2 | 7 | 13 | 16 | 0 | 4 |
| 9212 | 1962 | Master | Married | 72828 | 0 | 1 | 17 | 1205 | 235 | 19 | 14 | 205 |
| 7937 | 1982 | Graduation | Married | 24711 | 0 | 0 | 86 | 10 | 25 | 6 | 3 | 7 |
| 839 | 1975 | PhD | Married | 45503 | 1 | 0 | 54 | 97 | 44 | 6 | 1 | 18 |
| 4246 | 1982 | Master | Single | 6560 | 0 | 0 | 2 | 67 | 26 | 4 | 3 | 262 |
| 158 | 1945 | PhD | Together | 71604 | 0 | 0 | 3 | 345 | 528 | 98 | 75 | 97 |
| 4832 | 1979 | Graduation | Married | 27244 | 1 | 0 | 84 | 6 | 17 | 3 | 24 | 46 |
| 5621 | 1969 | Graduation | Married | 48752 | 1 | 1 | 8 | 73 | 100 | 71 | 15 | 0 |
| 1945 | 1962 | Graduation | Married | 71434 | 0 | 1 | 4 | 711 | 217 | 172 | 96 | 168 |
| 5147 | 1948 | Graduation | Single | 90842 | 0 | 0 | 57 | 774 | 118 | 182 | 187 | 93 |
| 2535 | 1978 | Master | Married | 88097 | 1 | 0 | 24 | 163 | 480 | 0 | 126 | 75 |
| 11039 | 1975 | Graduation | Married | 51948 | 0 | 1 | 51 | 82 | 54 | 71 | 30 | 41 |
| 9495 | 1982 | Graduation | Together | 71853 | 0 | 0 | 29 | 358 | 413 | 141 | 97 | 32 |
| 9635 | 1983 | Master | Married | 35876 | 0 | 0 | 13 | 66 | 40 | 4 | 3 | 14 |
| 2173 | 1952 | Graduation | Widow | 40049 | 0 | 1 | 23 | 13 | 7 | 0 | 3 | 3 |
| 942 | 1982 | Graduation | Single | 39660 | 1 | 0 | 36 | 139 | 78 | 20 | 13 | 36 |
| 9386 | 1962 | Graduation | Together | 50127 | 0 | 1 | 88 | 274 | 21 | 4 | 6 | 15 |
| 5510 | 1977 | Master | Married | 43263 | 0 | 1 | 2 | 262 | 61 | 0 | 10 | 102 |
| 873 | 1949 | Master | Married | 62845 | 1 | 1 | 3 | 1099 | 45 | 0 | 0 | 34 |
| 2253 | 1990 | Graduation | Married | 18929 | 0 | 0 | 15 | 32 | 8 | 23 | 4 | 18 |
| 5181 | 1982 | Basic | Single | 24367 | 1 | 0 | 58 | 2 | 2 | 0 | 11 | 5 |
| 979 | 1975 | Graduation | Single | 33249 | 1 | 0 | 11 | 6 | 21 | 19 | 14 | 42 |
| 10390 | 1959 | 2n Cycle | Married | 26887 | 0 | 1 | 27 | 6 | 4 | 3 | 4 | 6 |
| 4698 | 1983 | PhD | Married | 50150 | 0 | 0 | 32 | 135 | 92 | 65 | 61 | 11 |
| 7793 | 1976 | Graduation | Together | 62061 | 0 | 1 | 12 | 641 | 84 | 0 | 30 | 38 |
| 1745 | 1962 | PhD | Divorced | 85696 | 0 | 0 | 88 | 714 | 395 | 116 | 0 | 12 |
| 10590 | 1956 | PhD | Together | 76542 | 0 | 0 | 91 | 794 | 573 | 0 | 29 | 14 |
| 5080 | 1993 | Graduation | Single | 70515 | 0 | 0 | 12 | 420 | 452 | 182 | 64 | 140 |
| 8369 | 1987 | Graduation | Together | 18227 | 1 | 0 | 21 | 1 | 7 | 4 | 3 | 11 |
| 5232 | 1965 | Graduation | Married | 69139 | 0 | 1 | 23 | 86 | 75 | 33 | 15 | 6 |
| 2407 | 1982 | Graduation | Married | 69109 | 0 | 0 | 10 | 823 | 459 | 124 | 29 | 95 |
| 3834 | 1962 | Graduation | Single | 69627 | 0 | 1 | 35 | 231 | 215 | 171 | 30 | 53 |
| 7912 | 1978 | Graduation | Married | 38136 | 1 | 0 | 69 | 8 | 27 | 0 | 20 | 33 |
| 7712 | 1946 | PhD | Single | 62159 | 0 | 0 | 68 | 182 | 259 | 77 | 70 | 29 |
| 1065 | 1963 | Graduation | Single | 80695 | 0 | 0 | 85 | 557 | 984 | 193 | 37 | 18 |
| 7275 | 1971 | Master | Single | 33316 | 1 | 1 | 34 | 79 | 31 | 4 | 4 | 12 |
| 1343 | 1968 | Graduation | Together | 58554 | 1 | 1 | 55 | 368 | 68 | 38 | 0 | 88 |
| 1384 | 1992 | Basic | Married | 17256 | 1 | 0 | 10 | 6 | 14 | 8 | 8 | 22 |
| 9967 | 1974 | Graduation | Divorced | 53034 | 1 | 1 | 30 | 160 | 196 | 15 | 11 | 50 |
| 6181 | 1950 | 2n Cycle | Together | 52203 | 0 | 0 | 36 | 488 | 238 | 56 | 108 | 28 |
| 10507 | 1977 | 2n Cycle | Divorced | 59601 | 0 | 1 | 14 | 691 | 69 | 0 | 7 | 23 |
| 2674 | 1958 | Master | Single | 75154 | 0 | 1 | 79 | 543 | 205 | 160 | 143 | 82 |
| 2698 | 1976 | Graduation | Single | 47025 | 0 | 1 | 52 | 254 | 108 | 20 | 0 | 26 |
| 3231 | 1973 | Graduation | Married | 37971 | 1 | 0 | 97 | 5 | 10 | 2 | 2 | 7 |
| 4096 | 1968 | Master | Divorced | 41335 | 1 | 0 | 24 | 112 | 21 | 16 | 14 | 5 |
| 10476 | 1958 | Graduation | Married | 67267 | 0 | 1 | 0 | 134 | 59 | 15 | 2 | 30 |
| 5948 | 1975 | Graduation | Single | 57338 | 0 | 1 | 96 | 143 | 52 | 11 | 8 | 17 |
| 9140 | 1960 | 2n Cycle | Together | 50523 | 1 | 1 | 89 | 51 | 24 | 4 | 7 | 1 |
| 10258 | 1965 | Master | Single | 35791 | 2 | 1 | 94 | 27 | 5 | 0 | 0 | 3 |
| 5675 | 1960 | PhD | Divorced | 50611 | 0 | 1 | 98 | 459 | 24 | 6 | 0 | 4 |
| 4743 | 1969 | PhD | Married | 56242 | 0 | 1 | 72 | 689 | 167 | 11 | 8 | 88 |
| 8805 | 1960 | Graduation | Single | 48904 | 0 | 1 | 1 | 283 | 38 | 0 | 13 | 27 |
| 1542 | 1975 | Graduation | Single | 56243 | 1 | 2 | 26 | 347 | 35 | 4 | 3 | 7 |
| 6770 | 1985 | Graduation | Married | 21355 | 1 | 0 | 5 | 5 | 14 | 0 | 5 | 31 |
| 8773 | 1971 | Master | Together | 57420 | 0 | 1 | 22 | 280 | 18 | 0 | 0 | 24 |
| 10420 | 1955 | Master | Divorced | 46390 | 0 | 1 | 56 | 95 | 64 | 2 | 9 | 38 |
| 7514 | 1956 | 2n Cycle | Together | 54342 | 1 | 1 | 74 | 84 | 34 | 11 | 10 | 28 |
| 793 | 1973 | Graduation | Married | 20895 | 1 | 0 | 24 | 18 | 17 | 3 | 0 | 4 |
| 10909 | 1948 | Graduation | Married | 92344 | 0 | 0 | 9 | 992 | 694 | 51 | 19 | 119 |
| 8702 | 1976 | 2n Cycle | Together | 26907 | 1 | 1 | 10 | 9 | 7 | 0 | 3 | 2 |
| 4791 | 1980 | Graduation | Together | 44964 | 1 | 1 | 35 | 19 | 17 | 2 | 0 | 2 |
| 2963 | 1979 | Graduation | Together | 75507 | 0 | 0 | 56 | 709 | 374 | 104 | 80 | 80 |
| 8216 | 1972 | Master | Married | 53761 | 1 | 1 | 7 | 158 | 76 | 13 | 7 | 71 |
| 8140 | 1973 | Graduation | Together | 22682 | 1 | 0 | 51 | 10 | 29 | 4 | 2 | 36 |
| 10146 | 1972 | PhD | Together | 38887 | 1 | 0 | 17 | 25 | 13 | 0 | 0 | 3 |
| 5289 | 1975 | 2n Cycle | Single | 41658 | 1 | 1 | 30 | 8 | 12 | 15 | 4 | 29 |
| 2587 | 1972 | PhD | Married | 29791 | 1 | 0 | 21 | 14 | 6 | 0 | 0 | 0 |
| 4405 | 1956 | Master | Married | 63915 | 0 | 2 | 2 | 622 | 115 | 30 | 0 | 15 |
| 8663 | 1974 | Graduation | Divorced | 39996 | 1 | 1 | 85 | 11 | 3 | 0 | 0 | 1 |
| 2589 | 1972 | Graduation | Divorced | 26759 | 1 | 0 | 65 | 25 | 16 | 8 | 5 | 2 |
| 3421 | 1968 | Master | Divorced | 63841 | 0 | 1 | 64 | 635 | 100 | 20 | 7 | 131 |
| 10490 | 1969 | PhD | Married | 51039 | 1 | 1 | 11 | 100 | 79 | 65 | 0 | 109 |
| 4094 | 1961 | Graduation | Married | 60544 | 1 | 1 | 92 | 201 | 43 | 3 | 5 | 35 |
| 9958 | 1972 | Graduation | Married | 65685 | 0 | 1 | 54 | 642 | 49 | 0 | 7 | 57 |
| 2534 | 1953 | Graduation | Married | 37716 | 0 | 1 | 4 | 97 | 41 | 6 | 2 | 41 |
| 4188 | 1957 | Graduation | Single | 36864 | 0 | 1 | 53 | 204 | 39 | 17 | 0 | 89 |
| 6613 | 1970 | Master | Married | 44511 | 1 | 0 | 39 | 513 | 133 | 46 | 14 | 14 |
| 10827 | 1967 | PhD | Married | 36947 | 1 | 1 | 49 | 88 | 21 | 4 | 1 | 29 |
| 5491 | 1951 | Master | Together | 47352 | 0 | 1 | 70 | 172 | 112 | 8 | 0 | 15 |
| 8402 | 1953 | Master | Married | 67087 | 0 | 1 | 40 | 329 | 222 | 130 | 35 | 43 |
| 8783 | 1950 | Graduation | Married | 57045 | 0 | 1 | 40 | 296 | 104 | 11 | 13 | 17 |
| 10010 | 1953 | PhD | Divorced | 36957 | 1 | 1 | 43 | 100 | 16 | 2 | 1 | 31 |
| 618 | 1977 | PhD | Married | 69389 | 0 | 1 | 17 | 422 | 238 | 69 | 46 | 15 |
| 9121 | 1972 | Graduation | Married | 80134 | 1 | 0 | 40 | 1218 | 272 | 104 | 0 | 80 |
| 361 | 1969 | Master | Married | 43142 | 1 | 1 | 84 | 5 | 7 | 2 | 1 | 4 |
| 4310 | 1944 | Graduation | Married | 80589 | 0 | 0 | 25 | 507 | 520 | 242 | 40 | 26 |
| 2678 | 1990 | Graduation | Single | 34412 | 1 | 0 | 62 | 52 | 50 | 4 | 36 | 55 |
| 6376 | 1979 | Graduation | Single | 57537 | 1 | 0 | 83 | 191 | 139 | 51 | 8 | 100 |
| 524 | 1966 | Basic | Together | 22634 | 0 | 0 | 47 | 2 | 11 | 8 | 6 | 46 |
| 10341 | 1948 | Graduation | Together | 51315 | 0 | 0 | 45 | 68 | 39 | 16 | 30 | 41 |
| 5654 | 1972 | Graduation | Married | 36026 | 2 | 1 | 34 | 20 | 10 | 6 | 4 | 17 |
| 4098 | 1973 | Graduation | Married | 24639 | 1 | 1 | 3 | 20 | 16 | 0 | 4 | 1 |
| 5824 | 1972 | PhD | Together | 34578 | 2 | 1 | 1 | 7 | 1 | 0 | 0 | 0 |
| 7000 | 1972 | 2n Cycle | Single | 65704 | 0 | 0 | 18 | 279 | 74 | 38 | 8 | 246 |
| 2561 | 1966 | Graduation | Single | 63810 | 0 | 1 | 45 | 977 | 253 | 16 | 12 | 101 |
| 5229 | 1969 | PhD | Together | 54132 | 0 | 1 | 81 | 30 | 8 | 0 | 0 | 3 |
| 4086 | 1959 | Graduation | Married | 18690 | 0 | 0 | 77 | 6 | 7 | 23 | 4 | 19 |
| 2428 | 1970 | Graduation | Married | 28164 | 1 | 0 | 23 | 3 | 26 | 11 | 8 | 12 |
| 8254 | 1974 | PhD | Married | 34596 | 1 | 0 | 48 | 14 | 2 | 0 | 0 | 7 |
| 2836 | 1972 | PhD | Married | 43269 | 1 | 0 | 61 | 10 | 7 | 0 | 0 | 1 |
| 8418 | 1958 | 2n Cycle | Single | 38741 | 1 | 1 | 60 | 7 | 17 | 8 | 6 | 13 |
| 1362 | 1972 | Graduation | Single | 31907 | 0 | 0 | 75 | 33 | 64 | 175 | 16 | 74 |
| 7152 | 1983 | Master | Married | 27100 | 1 | 0 | 64 | 12 | 13 | 2 | 0 | 10 |
| 10033 | 1973 | 2n Cycle | Divorced | 31163 | 1 | 0 | 54 | 2 | 10 | 11 | 2 | 10 |
| 9349 | 1985 | Graduation | Married | 92533 | 0 | 0 | 84 | 693 | 118 | 110 | 147 | 42 |
| 274 | 1973 | Graduation | Single | 34853 | 1 | 1 | 75 | 9 | 15 | 2 | 3 | 2 |
| 3388 | 1967 | Graduation | Divorced | 70844 | 1 | 1 | 16 | 129 | 67 | 3 | 67 | 2 |
| 922 | 1979 | 2n Cycle | Married | 31086 | 1 | 1 | 79 | 16 | 11 | 3 | 0 | 16 |
| 8588 | 1961 | Graduation | Married | 60544 | 1 | 1 | 92 | 201 | 43 | 3 | 5 | 35 |
| 2518 | 1986 | 2n Cycle | Together | 20491 | 0 | 0 | 16 | 5 | 5 | 4 | 2 | 10 |
| 574 | 1964 | Graduation | Married | 42523 | 0 | 0 | 96 | 14 | 11 | 3 | 26 | 35 |
| 3220 | 1983 | Graduation | Married | 39922 | 1 | 0 | 30 | 29 | 59 | 19 | 1 | 36 |
| 5967 | 1952 | Graduation | Together | 33402 | 1 | 1 | 60 | 26 | 19 | 10 | 5 | 8 |
| 1183 | 1949 | Master | Married | 36408 | 1 | 1 | 11 | 9 | 4 | 3 | 2 | 3 |
| 6856 | 1979 | Graduation | Together | 21645 | 1 | 0 | 75 | 14 | 23 | 4 | 5 | 19 |
| 4530 | 1948 | Master | Widow | 78427 | 0 | 0 | 36 | 972 | 595 | 180 | 26 | 138 |
| 1553 | 1946 | Graduation | Together | 82657 | 0 | 0 | 71 | 966 | 672 | 246 | 105 | 126 |
| 4682 | 1958 | Graduation | Married | 51876 | 0 | 0 | 88 | 99 | 102 | 28 | 48 | 6 |
| 8204 | 1971 | 2n Cycle | Married | 78041 | 0 | 0 | 93 | 482 | 553 | 72 | 160 | 17 |
| 5221 | 1957 | Graduation | Married | 52852 | 0 | 1 | 93 | 714 | 99 | 11 | 0 | 47 |
| 1232 | 1982 | PhD | Together | 70038 | 0 | 0 | 54 | 587 | 348 | 71 | 54 | 130 |
| 1927 | 1973 | 2n Cycle | Together | 69401 | 0 | 1 | 41 | 399 | 159 | 58 | 8 | 39 |
| 5788 | 1972 | Graduation | Together | 46053 | 1 | 0 | 46 | 56 | 92 | 19 | 7 | 25 |
| 6652 | 1965 | Graduation | Married | 77343 | 0 | 0 | 28 | 227 | 573 | 98 | 54 | 31 |
| 6246 | 1953 | Graduation | Single | 73892 | 0 | 0 | 40 | 703 | 601 | 0 | 58 | 43 |
| 5975 | 1967 | PhD | Single | 40304 | 1 | 0 | 82 | 37 | 17 | 0 | 0 | 3 |
| 6875 | 1965 | PhD | Together | 32727 | 0 | 0 | 38 | 167 | 180 | 86 | 13 | 70 |
| 4399 | 1969 | Graduation | Together | 68695 | 0 | 0 | 3 | 458 | 356 | 106 | 50 | 40 |
| 4042 | 1971 | Graduation | Divorced | 43300 | 0 | 1 | 87 | 91 | 52 | 2 | 1 | 31 |
| 2157 | 1972 | Graduation | Together | 26290 | 1 | 1 | 49 | 15 | 16 | 11 | 5 | 22 |
| 10133 | 1970 | Graduation | Single | 93790 | 0 | 0 | 16 | 1302 | 731 | 89 | 114 | 45 |
| 2525 | 1974 | PhD | Married | 38410 | 0 | 0 | 65 | 153 | 123 | 116 | 64 | 14 |
| 8233 | 1950 | Master | Widow | 64866 | 0 | 1 | 9 | 508 | 21 | 7 | 5 | 10 |
| 9483 | 1959 | Graduation | Together | 57957 | 0 | 1 | 24 | 290 | 177 | 77 | 5 | 29 |
| 2945 | 1955 | PhD | Together | 46015 | 1 | 1 | 25 | 38 | 2 | 0 | 0 | 6 |
| 10403 | 1978 | Graduation | Together | 16531 | 1 | 0 | 43 | 2 | 6 | 7 | 5 | 11 |
| 5074 | 1986 | Master | Married | 28072 | 1 | 0 | 10 | 30 | 10 | 2 | 0 | 5 |
| 10524 | 1963 | Master | Divorced | 49476 | 0 | 1 | 29 | 386 | 95 | 54 | 41 | 196 |
| 4690 | 1953 | Graduation | Married | 50725 | 0 | 1 | 45 | 443 | 75 | 0 | 10 | 48 |
| 7521 | 1952 | Graduation | Together | 83844 | 0 | 0 | 57 | 901 | 345 | 75 | 31 | 191 |
| 7196 | 1950 | PhD | Married | 41145 | 1 | 1 | 20 | 9 | 3 | 0 | 0 | 1 |
| 4406 | 1970 | Graduation | Together | 67419 | 0 | 1 | 29 | 846 | 352 | 91 | 56 | 42 |
| 9672 | 1970 | 2n Cycle | Married | 23162 | 1 | 1 | 82 | 8 | 9 | 19 | 4 | 22 |
| 4864 | 1977 | Graduation | Married | 34380 | 1 | 0 | 68 | 72 | 58 | 13 | 1 | 24 |
| 4706 | 1966 | Graduation | Single | 34704 | 0 | 1 | 65 | 29 | 5 | 0 | 1 | 5 |
| 4070 | 1969 | PhD | Married | 94871 | 0 | 2 | 99 | 169 | 553 | 188 | 0 | 144 |
| 25 | 1958 | Graduation | Married | 65148 | 0 | 1 | 9 | 460 | 422 | 33 | 12 | 153 |
| 3697 | 1954 | Graduation | Together | 39898 | 0 | 1 | 20 | 69 | 26 | 12 | 7 | 12 |
| 217 | 1956 | Master | Single | 64857 | 0 | 0 | 78 | 556 | 717 | 210 | 0 | 43 |
| 4220 | 1970 | PhD | Married | 59892 | 0 | 1 | 26 | 73 | 13 | 0 | 1 | 0 |
| 5286 | 1987 | Master | Single | 41020 | 0 | 0 | 68 | 112 | 54 | 7 | 7 | 36 |
| 9559 | 1961 | PhD | Married | 57072 | 0 | 1 | 79 | 944 | 60 | 0 | 0 | 30 |
| 2849 | 1979 | Graduation | Single | 60474 | 0 | 1 | 25 | 265 | 303 | 234 | 9 | 170 |
| 7787 | 1960 | Graduation | Together | 62807 | 0 | 1 | 83 | 526 | 135 | 10 | 21 | 99 |
| 3102 | 1981 | 2n Cycle | Together | 19414 | 1 | 0 | 32 | 2 | 12 | 3 | 5 | 7 |
| 5868 | 1980 | Graduation | Married | 19107 | 1 | 0 | 49 | 2 | 9 | 10 | 5 | 16 |
| 8370 | 1976 | 2n Cycle | Together | 75484 | 0 | 1 | 50 | 378 | 259 | 197 | 194 | 34 |
| 9988 | 1976 | Master | Single | 70379 | 0 | 1 | 84 | 553 | 142 | 65 | 67 | 8 |
| 2939 | 1970 | Master | Together | 79419 | 0 | 0 | 96 | 751 | 687 | 20 | 15 | 31 |
| 5529 | 1946 | PhD | Together | 64014 | 2 | 1 | 56 | 406 | 30 | 0 | 0 | 8 |
| 9743 | 1955 | Graduation | Married | 76998 | 0 | 1 | 85 | 1449 | 161 | 69 | 35 | 107 |
| 5763 | 1972 | Master | Together | 49854 | 1 | 0 | 63 | 123 | 171 | 39 | 0 | 30 |
| 3478 | 1971 | PhD | Married | 60585 | 1 | 1 | 17 | 267 | 309 | 55 | 42 | 21 |
| 7494 | 1950 | PhD | Divorced | 42873 | 1 | 1 | 11 | 209 | 40 | 3 | 2 | 15 |
| 1763 | 1988 | Graduation | Together | 87679 | 0 | 0 | 62 | 1259 | 815 | 97 | 148 | 33 |
| 7250 | 1978 | Graduation | Together | 57867 | 1 | 0 | 48 | 344 | 178 | 15 | 23 | 17 |
| 2005 | 1990 | Graduation | Married | 35765 | 1 | 0 | 86 | 22 | 30 | 0 | 5 | 15 |
| 10770 | 1959 | Graduation | Married | 65492 | 0 | 0 | 73 | 247 | 295 | 210 | 85 | 47 |
| 6885 | 1977 | Graduation | Divorced | 32952 | 1 | 0 | 36 | 38 | 12 | 3 | 1 | 1 |
| 2072 | 1969 | PhD | Together | 53374 | 0 | 1 | 34 | 896 | 101 | 13 | 10 | 34 |
| 9463 | 1959 | Graduation | Together | 71706 | 0 | 1 | 16 | 931 | 253 | 91 | 98 | 14 |
| 6318 | 1988 | Graduation | Married | 68487 | 0 | 0 | 48 | 758 | 385 | 33 | 89 | 89 |
| 4093 | 1975 | Master | Together | 53253 | 1 | 1 | 61 | 216 | 57 | 20 | 9 | 125 |
| 5751 | 1973 | 2n Cycle | Divorced | 31163 | 1 | 0 | 54 | 2 | 10 | 11 | 2 | 10 |
| 3340 | 1977 | Graduation | Married | 42014 | 1 | 0 | 56 | 244 | 108 | 4 | 15 | 50 |
| 3594 | 1973 | Master | Married | 54108 | 1 | 1 | 74 | 539 | 91 | 8 | 6 | 97 |
| 3584 | 1955 | PhD | Single | 49667 | 0 | 0 | 35 | 1181 | 120 | 17 | 13 | 39 |
| 3643 | 1974 | Master | Married | 63206 | 0 | 0 | 65 | 750 | 125 | 11 | 8 | 26 |
| 851 | 1972 | Master | Married | 57136 | 1 | 1 | 48 | 306 | 109 | 21 | 109 | 92 |
| 7706 | 1975 | 2n Cycle | Together | 46772 | 0 | 1 | 88 | 350 | 189 | 197 | 151 | 57 |
| 3967 | 1971 | PhD | Married | 78931 | 0 | 0 | 19 | 331 | 170 | 58 | 152 | 35 |
| 10128 | 1958 | Graduation | Together | 53977 | 0 | 1 | 21 | 620 | 165 | 0 | 24 | 82 |
| 486 | 1988 | Graduation | Married | 84219 | 0 | 0 | 27 | 434 | 400 | 45 | 137 | 45 |
| 9 | 1975 | Master | Single | 46098 | 1 | 1 | 86 | 57 | 27 | 0 | 0 | 36 |
| 9451 | 1965 | Graduation | Married | 73538 | 0 | 1 | 92 | 811 | 428 | 99 | 137 | 107 |
| 9264 | 1986 | Graduation | Married | 79529 | 0 | 0 | 1 | 423 | 706 | 73 | 197 | 197 |
| 3865 | 1977 | 2n Cycle | Together | 20981 | 0 | 0 | 14 | 2 | 10 | 6 | 13 | 30 |
| 2853 | 1980 | Graduation | Single | 51766 | 1 | 0 | 74 | 60 | 87 | 6 | 20 | 51 |
| 1490 | 1962 | Graduation | Married | 55759 | 0 | 1 | 84 | 675 | 85 | 10 | 7 | 77 |
| 6310 | 1978 | Graduation | Married | 33039 | 1 | 0 | 4 | 30 | 12 | 8 | 8 | 12 |
| 10380 | 1972 | Master | Married | 37787 | 1 | 0 | 50 | 40 | 40 | 4 | 3 | 18 |
| 3887 | 1970 | Graduation | Single | 27242 | 1 | 0 | 2 | 3 | 26 | 20 | 1 | 39 |
| 4278 | 1983 | PhD | Single | 87188 | 0 | 0 | 73 | 910 | 724 | 49 | 74 | 55 |
| 8643 | 1971 | Graduation | Together | 69930 | 0 | 0 | 21 | 252 | 827 | 219 | 70 | 196 |
| 1998 | 1976 | Graduation | Single | 37697 | 1 | 0 | 82 | 34 | 21 | 11 | 4 | 8 |
| 10795 | 1973 | PhD | Married | 37401 | 1 | 0 | 14 | 19 | 19 | 3 | 1 | 3 |
| 11110 | 1973 | Graduation | Single | 3502 | 1 | 0 | 56 | 2 | 1 | 0 | 0 | 1 |
| 2408 | 1976 | Graduation | Married | 58597 | 1 | 1 | 20 | 490 | 184 | 10 | 28 | 21 |
| 202 | 1948 | PhD | Widow | 82032 | 0 | 0 | 54 | 332 | 377 | 149 | 125 | 57 |
| 7998 | 1958 | Graduation | Together | 28087 | 1 | 1 | 77 | 53 | 17 | 13 | 0 | 21 |
| 830 | 1987 | PhD | Single | 74004 | 0 | 0 | 5 | 784 | 560 | 42 | 176 | 48 |
| 3536 | 1960 | Graduation | Together | 19740 | 0 | 1 | 65 | 7 | 3 | 10 | 4 | 20 |
| 6050 | 1975 | 2n Cycle | Married | 57036 | 0 | 1 | 33 | 1171 | 219 | 19 | 14 | 47 |
| 125 | 1958 | 2n Cycle | Together | 53083 | 1 | 1 | 65 | 215 | 33 | 3 | 0 | 13 |
| 3463 | 1975 | PhD | Married | 69283 | 0 | 1 | 41 | 674 | 134 | 0 | 26 | 8 |
| 2804 | 1975 | Master | Single | 46098 | 1 | 1 | 86 | 57 | 27 | 0 | 0 | 36 |
| 3745 | 1988 | 2n Cycle | Married | 23331 | 1 | 0 | 92 | 5 | 7 | 0 | 10 | 45 |
| 9771 | 1988 | 2n Cycle | Single | 23331 | 1 | 0 | 97 | 104 | 101 | 24 | 15 | 5 |
| 451 | 1989 | Graduation | Single | 9255 | 1 | 0 | 91 | 9 | 7 | 2 | 0 | 4 |
| 10530 | 1959 | PhD | Widow | 67786 | 0 | 0 | 0 | 431 | 441 | 80 | 20 | 102 |
| 1079 | 1971 | PhD | Married | 71969 | 0 | 1 | 59 | 1000 | 76 | 0 | 0 | 10 |
| 8920 | 1967 | Master | Single | 59235 | 1 | 0 | 4 | 448 | 469 | 80 | 0 | 91 |
| 6678 | 1989 | Graduation | Together | 31928 | 1 | 0 | 5 | 33 | 24 | 4 | 2 | 5 |
| 3852 | 1961 | Master | Together | 74881 | 1 | 1 | 48 | 505 | 270 | 36 | 27 | 54 |
| 528 | 1978 | Graduation | Married | 65819 | 0 | 0 | 99 | 267 | 701 | 149 | 165 | 63 |
| 73 | 1953 | PhD | Single | 51411 | 1 | 2 | 81 | 14 | 3 | 0 | 0 | 1 |
| 5589 | 1964 | Graduation | Divorced | 51983 | 0 | 1 | 95 | 631 | 115 | 10 | 7 | 30 |
| 10212 | 1986 | Master | Together | 42386 | 1 | 0 | 43 | 65 | 16 | 0 | 4 | 11 |
| 6365 | 1987 | 2n Cycle | Married | 30390 | 0 | 0 | 5 | 10 | 12 | 25 | 1 | 20 |
| 5636 | 1963 | Graduation | Single | 30983 | 0 | 0 | 50 | 51 | 50 | 12 | 1 | 49 |
| 591 | 1957 | Graduation | Widow | 66033 | 0 | 1 | 76 | 293 | 179 | 46 | 59 | 65 |
| 2217 | 1975 | 2n Cycle | Married | 37284 | 1 | 1 | 46 | 11 | 2 | 2 | 1 | 6 |
| 2544 | 1951 | Master | Divorced | 57530 | 0 | 1 | 68 | 50 | 27 | 6 | 7 | 1 |
| 7725 | 1965 | 2n Cycle | Married | 76800 | 0 | 0 | 33 | 173 | 255 | 35 | 71 | 81 |
| 8091 | 1956 | Graduation | Married | 63943 | 0 | 1 | 50 | 423 | 368 | 13 | 97 | 21 |
| 7321 | 1962 | Graduation | Together | 76081 | 0 | 0 | 85 | 292 | 415 | 63 | 33 | 200 |
| 5462 | 1974 | Graduation | Married | 67445 | 0 | 1 | 63 | 757 | 217 | 29 | 80 | 11 |
| 7791 | 1967 | Master | Married | 37054 | 1 | 1 | 89 | 12 | 6 | 0 | 1 | 5 |
| 955 | 1962 | Master | Together | 47175 | 1 | 1 | 81 | 167 | 44 | 6 | 2 | 19 |
| 4037 | 1976 | Graduation | Divorced | 31859 | 1 | 0 | 77 | 3 | 3 | 8 | 0 | 5 |
| 6642 | 1961 | Graduation | Divorced | 27215 | 2 | 1 | 50 | 30 | 22 | 8 | 9 | 28 |
| 2793 | 1976 | PhD | Divorced | 70179 | 0 | 1 | 10 | 532 | 168 | 69 | 44 | 133 |
| 5424 | 1983 | Graduation | Married | 39922 | 1 | 0 | 30 | 29 | 59 | 19 | 1 | 36 |
| 879 | 1976 | Master | Married | 49681 | 0 | 2 | 66 | 411 | 26 | 0 | 0 | 21 |
| 9530 | 1988 | Graduation | Married | 24645 | 1 | 0 | 16 | 5 | 4 | 4 | 1 | 0 |
| 4828 | 1954 | Graduation | Divorced | 79865 | 0 | 1 | 12 | 71 | 278 | 185 | 121 | 38 |
| 10699 | 1985 | Graduation | Married | 44322 | 1 | 0 | 30 | 46 | 40 | 3 | 0 | 3 |
| 1497 | 1952 | Graduation | Single | 47958 | 0 | 1 | 8 | 268 | 88 | 15 | 3 | 22 |
| 7476 | 1964 | Master | Single | 63972 | 0 | 1 | 93 | 928 | 254 | 0 | 12 | 12 |
| 4390 | 1954 | Graduation | Together | 75315 | 0 | 1 | 14 | 459 | 171 | 142 | 23 | 31 |
| 10478 | 1950 | PhD | Married | 55517 | 1 | 1 | 53 | 483 | 108 | 0 | 6 | 36 |
| 1081 | 1957 | PhD | Married | 75283 | 1 | 2 | 26 | 733 | 180 | 12 | 19 | 66 |
| 4261 | 1946 | PhD | Single | 82800 | 0 | 0 | 23 | 1006 | 115 | 59 | 68 | 45 |
| 9916 | 1954 | Graduation | Married | 38998 | 1 | 1 | 92 | 34 | 14 | 0 | 0 | 5 |
| 5350 | 1991 | Master | Single | 90638 | 0 | 0 | 29 | 1156 | 915 | 94 | 144 | 96 |
| 8135 | 1986 | Master | Married | 27161 | 1 | 0 | 41 | 7 | 23 | 7 | 0 | 11 |
| 8685 | 1977 | Graduation | Married | 42014 | 1 | 0 | 56 | 244 | 108 | 4 | 15 | 50 |
| 4967 | 1960 | PhD | Together | 38201 | 0 | 1 | 19 | 233 | 23 | 0 | 0 | 12 |
| 2130 | 1982 | Graduation | Together | 45203 | 2 | 0 | 4 | 35 | 67 | 10 | 8 | 24 |
| 9298 | 1947 | PhD | Together | 81574 | 0 | 0 | 89 | 1252 | 465 | 46 | 35 | 0 |
| 8175 | 1992 | Graduation | Married | 34935 | 0 | 0 | 71 | 34 | 66 | 3 | 10 | 20 |
| 6257 | 1976 | Master | Single | 60482 | 0 | 1 | 81 | 255 | 134 | 37 | 14 | 24 |
| 3790 | 1956 | Graduation | Together | 34633 | 2 | 1 | 31 | 8 | 5 | 0 | 0 | 1 |
| 9952 | 1947 | Master | Together | 78093 | 0 | 0 | 53 | 368 | 639 | 13 | 43 | 10 |
| 3503 | 1950 | Graduation | Divorced | 82460 | 0 | 0 | 78 | 255 | 573 | 52 | 32 | 15 |
| 5223 | 1966 | Master | Together | 45903 | 0 | 1 | 80 | 33 | 10 | 2 | 10 | 3 |
| 4608 | 1987 | Graduation | Divorced | 81361 | 0 | 0 | 18 | 163 | 424 | 27 | 65 | 76 |
| 1626 | 1973 | PhD | Divorced | 35860 | 1 | 1 | 37 | 15 | 8 | 4 | 2 | 20 |
| 4764 | 1952 | Master | Together | 40442 | 1 | 1 | 52 | 45 | 52 | 25 | 22 | 13 |
| 2471 | 1965 | Graduation | Married | 61482 | 0 | 0 | 39 | 48 | 68 | 16 | 66 | 43 |
| 5892 | 1980 | Graduation | Married | 34968 | 1 | 0 | 11 | 158 | 45 | 8 | 2 | 2 |
| 2612 | 1987 | Graduation | Married | 75794 | 0 | 0 | 33 | 754 | 625 | 63 | 32 | 48 |
| 4971 | 1962 | PhD | Together | 31497 | 0 | 1 | 22 | 108 | 28 | 13 | 1 | 4 |
| 5185 | 1955 | Graduation | Married | 74268 | 0 | 0 | 83 | 199 | 315 | 97 | 174 | 41 |
| 10069 | 1988 | Basic | Together | 13724 | 1 | 0 | 43 | 2 | 5 | 2 | 15 | 27 |
| 2262 | 1965 | Master | Together | 45143 | 0 | 1 | 74 | 202 | 74 | 11 | 5 | 14 |
| 1131 | 1967 | PhD | Single | 52569 | 0 | 1 | 54 | 85 | 3 | 0 | 0 | 7 |
| 1041 | 1973 | PhD | Single | 48432 | 0 | 1 | 3 | 322 | 50 | 4 | 3 | 42 |
| 24 | 1960 | Master | Together | 17144 | 1 | 1 | 96 | 18 | 19 | 0 | 2 | 6 |
| 3409 | 1984 | Graduation | Single | 36108 | 1 | 0 | 68 | 141 | 129 | 3 | 11 | 47 |
| 7022 | 1971 | Graduation | Married | 76445 | 1 | 0 | 2 | 739 | 309 | 140 | 80 | 35 |
| 7943 | 1975 | PhD | Married | 36663 | 1 | 0 | 40 | 18 | 6 | 3 | 3 | 5 |
| 5272 | 1965 | Master | Married | 53843 | 0 | 1 | 64 | 378 | 88 | 19 | 4 | 73 |
| 5453 | 1956 | Master | Married | 90226 | 0 | 0 | 26 | 1083 | 649 | 253 | 151 | 108 |
| 2565 | 1955 | Master | Divorced | 70638 | 0 | 0 | 69 | 1016 | 215 | 16 | 12 | 63 |
| 800 | 1960 | Graduation | Together | 44512 | 1 | 1 | 57 | 23 | 6 | 0 | 0 | 2 |
| 11092 | 1961 | Graduation | Married | 27116 | 1 | 1 | 78 | 12 | 21 | 2 | 2 | 3 |
| 5062 | 1963 | PhD | Married | 54072 | 1 | 1 | 71 | 35 | 4 | 0 | 0 | 0 |
| 8969 | 1977 | Graduation | Married | 71855 | 0 | 1 | 59 | 548 | 422 | 0 | 112 | 28 |
| 4656 | 1990 | 2n Cycle | Single | 51250 | 1 | 0 | 28 | 342 | 230 | 34 | 32 | 40 |
| 4480 | 1973 | Master | Married | 60432 | 0 | 1 | 61 | 365 | 15 | 4 | 3 | 11 |
| 9971 | 1964 | PhD | Married | 65526 | 0 | 1 | 22 | 397 | 69 | 12 | 0 | 9 |
| 6729 | 1988 | Graduation | Single | 68655 | 0 | 0 | 95 | 456 | 832 | 75 | 118 | 38 |
| 1773 | 1978 | 2n Cycle | Married | 12393 | 0 | 0 | 38 | 5 | 15 | 11 | 7 | 13 |
| 9242 | 1990 | Graduation | Single | 64509 | 0 | 0 | 19 | 836 | 575 | 24 | 25 | 77 |
| 1764 | 1975 | Graduation | Single | 33955 | 1 | 0 | 92 | 100 | 128 | 23 | 7 | 10 |
| 6215 | 1977 | Graduation | Married | 31353 | 1 | 1 | 24 | 10 | 10 | 3 | 1 | 7 |
| 10099 | 1984 | Graduation | Married | 55434 | 1 | 0 | 21 | 238 | 215 | 169 | 69 | 76 |
| 5423 | 1983 | Graduation | Together | 28359 | 1 | 0 | 35 | 6 | 5 | 2 | 1 | 2 |
| 940 | 1987 | Graduation | Single | 57100 | 1 | 0 | 9 | 158 | 99 | 15 | 11 | 17 |
| 3011 | 1965 | Graduation | Married | 69139 | 0 | 1 | 23 | 86 | 75 | 33 | 15 | 6 |
| 3298 | 1956 | Master | Married | 52973 | 0 | 1 | 92 | 856 | 76 | 12 | 9 | 199 |
| 8286 | 1965 | PhD | Together | 51717 | 0 | 1 | 55 | 98 | 17 | 0 | 1 | 5 |
| 9668 | 1971 | Graduation | Married | 18793 | 1 | 0 | 14 | 4 | 20 | 0 | 17 | 20 |
| 5120 | 1982 | 2n Cycle | Together | 66664 | 0 | 0 | 78 | 398 | 447 | 220 | 96 | 32 |
| 6097 | 1959 | Graduation | Single | 50664 | 1 | 1 | 64 | 313 | 104 | 6 | 4 | 126 |
| 7019 | 1963 | Graduation | Together | 54414 | 1 | 1 | 49 | 109 | 16 | 24 | 26 | 18 |
| 7408 | 1952 | PhD | Married | 54549 | 0 | 1 | 8 | 216 | 6 | 0 | 0 | 9 |
| 8041 | 1971 | PhD | Widow | 47111 | 0 | 1 | 35 | 595 | 153 | 120 | 112 | 41 |
| 252 | 1963 | PhD | Divorced | 41003 | 0 | 0 | 11 | 123 | 142 | 71 | 44 | 88 |
| 9986 | 1982 | Graduation | Together | 19444 | 1 | 0 | 8 | 16 | 23 | 3 | 2 | 10 |
| 3276 | 1976 | 2n Cycle | Together | 36301 | 1 | 0 | 53 | 11 | 35 | 3 | 5 | 12 |
| 3859 | 1947 | PhD | Together | 73059 | 0 | 1 | 36 | 410 | 420 | 0 | 82 | 71 |
| 3570 | 1969 | PhD | Together | 42731 | 1 | 0 | 64 | 159 | 51 | 6 | 2 | 24 |
| 3783 | 1959 | PhD | Married | 52854 | 1 | 1 | 43 | 105 | 10 | 0 | 1 | 0 |
| 10207 | 1978 | Graduation | Together | 22775 | 1 | 0 | 40 | 5 | 8 | 0 | 0 | 1 |
| 10906 | 1948 | PhD | Together | 46681 | 0 | 2 | 52 | 269 | 69 | 15 | 19 | 38 |
| 3427 | 1955 | PhD | Married | 59821 | 0 | 1 | 11 | 629 | 70 | 0 | 0 | 35 |
| 5209 | 1954 | Graduation | Divorced | 50002 | 0 | 1 | 21 | 443 | 71 | 21 | 16 | 82 |
| 10711 | 1945 | Graduation | Married | 69755 | 0 | 0 | 23 | 217 | 373 | 111 | 23 | 93 |
| 10785 | 1969 | Graduation | Married | 44078 | 1 | 1 | 17 | 24 | 10 | 2 | 0 | 4 |
| 2814 | 1976 | Master | Together | 30560 | 1 | 0 | 6 | 9 | 5 | 4 | 5 | 7 |
| 6866 | 1969 | Master | Together | 35924 | 1 | 1 | 56 | 8 | 14 | 2 | 3 | 7 |
| 1665 | 1964 | PhD | Divorced | 64140 | 0 | 2 | 71 | 1459 | 61 | 0 | 15 | 215 |
| 6575 | 1981 | Graduation | Together | 56386 | 1 | 1 | 51 | 230 | 214 | 13 | 32 | 75 |
| 3829 | 1979 | Basic | Together | 24594 | 1 | 0 | 94 | 1 | 6 | 10 | 0 | 9 |
| 3091 | 1981 | 2n Cycle | Together | 75774 | 1 | 0 | 27 | 340 | 134 | 258 | 14 | 56 |
| 10141 | 1960 | Master | Divorced | 39228 | 0 | 0 | 1 | 7 | 6 | 0 | 3 | 3 |
| 5177 | 1974 | Master | Married | 58494 | 0 | 1 | 56 | 298 | 68 | 4 | 0 | 19 |
| 7005 | 1981 | Graduation | Single | 58684 | 0 | 0 | 71 | 479 | 179 | 28 | 7 | 85 |
| 6409 | 1967 | Graduation | Divorced | 57136 | 0 | 0 | 18 | 267 | 599 | 34 | 12 | 127 |
| 7485 | 1950 | PhD | Widow | 56551 | 1 | 1 | 48 | 67 | 32 | 17 | 2 | 16 |
| 8079 | 1982 | Graduation | Married | 22448 | 1 | 0 | 86 | 3 | 8 | 23 | 2 | 18 |
| 8395 | 1961 | Graduation | Single | 82014 | 0 | 0 | 48 | 980 | 265 | 35 | 163 | 31 |
| 10352 | 1963 | Graduation | Widow | 34213 | 1 | 1 | 2 | 50 | 28 | 6 | 3 | 26 |
| 4931 | 1977 | Graduation | Together | 157146 | 0 | 0 | 13 | 1 | 1725 | 2 | 1 | 1 |
| 13 | 1947 | PhD | Widow | 25358 | 0 | 1 | 57 | 19 | 5 | 0 | 0 | 8 |
| 1834 | 1978 | Master | Single | 35544 | 1 | 0 | 77 | 30 | 23 | 4 | 1 | 4 |
| 2285 | 1954 | Master | Together | 36634 | 0 | 1 | 0 | 213 | 76 | 4 | 3 | 30 |
| 2295 | 1954 | PhD | Married | 62670 | 0 | 1 | 57 | 539 | 92 | 80 | 46 | 38 |
| 1378 | 1972 | 2n Cycle | Together | 50334 | 0 | 1 | 24 | 284 | 160 | 84 | 16 | 134 |
| 2781 | 1981 | Graduation | Single | 72066 | 0 | 0 | 55 | 1003 | 536 | 134 | 51 | 34 |
| 1165 | 1958 | PhD | Single | 50729 | 1 | 1 | 62 | 239 | 143 | 45 | 4 | 52 |
| 1404 | 1968 | Graduation | Together | 34916 | 2 | 0 | 89 | 51 | 82 | 33 | 0 | 42 |
| 6457 | 1976 | Graduation | Divorced | 64892 | 0 | 1 | 77 | 527 | 230 | 32 | 24 | 65 |
| 2639 | 1966 | Graduation | Single | 43602 | 1 | 1 | 45 | 19 | 12 | 10 | 3 | 19 |
| 8299 | 1989 | PhD | Single | 33996 | 0 | 0 | 46 | 40 | 15 | 8 | 0 | 6 |
| 6437 | 1985 | 2n Cycle | Single | 41473 | 1 | 0 | 80 | 21 | 20 | 15 | 3 | 9 |
| 6912 | 1967 | PhD | Married | 63246 | 0 | 2 | 60 | 593 | 91 | 29 | 22 | 7 |
| 7327 | 1959 | PhD | Married | 36732 | 1 | 1 | 71 | 21 | 3 | 10 | 1 | 7 |
| 5299 | 1970 | PhD | Married | 69084 | 1 | 0 | 43 | 1181 | 199 | 39 | 30 | 30 |
| 4127 | 1967 | PhD | Married | 77766 | 0 | 1 | 97 | 1004 | 265 | 115 | 59 | 27 |
| 8143 | 1985 | PhD | Single | 37929 | 0 | 0 | 49 | 202 | 46 | 3 | 2 | 10 |
| 1964 | 1951 | Graduation | Together | 86610 | 0 | 0 | 66 | 446 | 768 | 33 | 196 | 53 |
| 3690 | 1986 | Master | Married | 80141 | 0 | 0 | 20 | 1184 | 673 | 52 | 40 | 40 |
| 3433 | 1955 | 2n Cycle | Married | 72635 | 0 | 0 | 54 | 390 | 323 | 104 | 35 | 107 |
| 3389 | 1970 | Graduation | Married | 69016 | 0 | 1 | 61 | 726 | 363 | 123 | 107 | 161 |
| 4712 | 1991 | 2n Cycle | Together | 20193 | 0 | 0 | 18 | 8 | 22 | 24 | 11 | 9 |
| 1170 | 1975 | Graduation | Married | 27573 | 1 | 0 | 45 | 50 | 110 | 39 | 15 | 15 |
| 6347 | 1979 | Basic | Single | 15862 | 1 | 0 | 26 | 1 | 4 | 11 | 9 | 10 |
| 4065 | 1976 | PhD | Married | 49544 | 1 | 0 | 0 | 308 | 73 | 0 | 0 | 23 |
| 8230 | 1980 | Graduation | Married | 33228 | 1 | 0 | 28 | 22 | 31 | 7 | 4 | 5 |
| 1215 | 1978 | Graduation | Together | 70440 | 0 | 0 | 49 | 690 | 499 | 76 | 102 | 88 |
| 5939 | 1971 | Graduation | Together | 38232 | 1 | 1 | 84 | 43 | 28 | 7 | 6 | 33 |
| 2156 | 1955 | PhD | Married | 22554 | 1 | 1 | 38 | 27 | 10 | 0 | 0 | 4 |
| 7788 | 1983 | PhD | Married | 23536 | 1 | 0 | 53 | 6 | 3 | 0 | 0 | 1 |
| 10323 | 1952 | Graduation | Married | 49413 | 0 | 1 | 88 | 205 | 41 | 3 | 2 | 46 |
| 7947 | 1969 | Graduation | Married | 42231 | 1 | 1 | 99 | 24 | 8 | 0 | 1 | 4 |
| 1891 | 1980 | Master | Divorced | 78789 | 0 | 0 | 12 | 667 | 850 | 21 | 83 | 83 |
| 2570 | 1968 | Graduation | Together | 56534 | 0 | 1 | 35 | 691 | 61 | 10 | 0 | 46 |
| 9256 | 1971 | Graduation | Single | 58350 | 0 | 1 | 5 | 493 | 206 | 116 | 80 | 80 |
| 295 | 1989 | Graduation | Single | 81217 | 0 | 0 | 77 | 493 | 324 | 146 | 40 | 84 |
| 7397 | 1951 | Graduation | Single | 49090 | 0 | 1 | 45 | 494 | 82 | 7 | 0 | 100 |
| 6349 | 1987 | Master | Divorced | 61787 | 0 | 0 | 71 | 621 | 414 | 78 | 48 | 85 |
| 10790 | 1985 | PhD | Married | 18169 | 1 | 0 | 40 | 9 | 5 | 0 | 0 | 7 |
| 10398 | 1981 | 2n Cycle | Single | 24336 | 1 | 0 | 82 | 1 | 2 | 8 | 2 | 12 |
| 2431 | 1990 | Graduation | Married | 18222 | 0 | 0 | 70 | 12 | 19 | 12 | 6 | 14 |
| 550 | 1952 | Graduation | Divorced | 62335 | 0 | 1 | 87 | 243 | 217 | 85 | 6 | 26 |
| 1890 | 1971 | 2n Cycle | Together | 42033 | 1 | 1 | 95 | 11 | 4 | 2 | 0 | 7 |
| 10742 | 1983 | PhD | Married | 86580 | 0 | 0 | 72 | 532 | 127 | 26 | 20 | 20 |
| 10356 | 1957 | PhD | Divorced | 41437 | 1 | 1 | 5 | 29 | 2 | 0 | 0 | 1 |
| 4676 | 1951 | Master | Widow | 73705 | 0 | 2 | 86 | 612 | 520 | 258 | 107 | 107 |
| 8852 | 1976 | Graduation | Married | 61064 | 0 | 1 | 80 | 387 | 342 | 0 | 45 | 180 |
| 3565 | 1955 | Master | Married | 38452 | 1 | 1 | 62 | 56 | 14 | 0 | 0 | 2 |
| 5294 | 1989 | Graduation | Single | 18358 | 1 | 0 | 49 | 6 | 19 | 16 | 4 | 4 |
| 1958 | 1973 | PhD | Together | 55012 | 0 | 1 | 85 | 582 | 65 | 0 | 0 | 13 |
| 7349 | 1973 | Basic | Together | 9722 | 1 | 0 | 7 | 6 | 16 | 6 | 16 | 42 |
| 8799 | 1984 | PhD | Married | 38175 | 1 | 0 | 6 | 70 | 69 | 2 | 3 | 3 |
| 1351 | 1956 | Master | Together | 58656 | 0 | 1 | 25 | 962 | 194 | 16 | 24 | 12 |
| 1045 | 1965 | Graduation | Together | 52117 | 0 | 1 | 55 | 112 | 107 | 30 | 0 | 20 |
| 7732 | 1978 | Graduation | Married | 64813 | 1 | 0 | 81 | 293 | 124 | 179 | 97 | 52 |
| 8070 | 1973 | PhD | Married | 54222 | 0 | 1 | 98 | 199 | 31 | 3 | 12 | 7 |
| 477 | 1986 | Graduation | Married | 83512 | 0 | 0 | 31 | 1060 | 835 | 80 | 20 | 101 |
| 7832 | 1959 | Master | Married | 77520 | 0 | 1 | 30 | 940 | 396 | 0 | 88 | 58 |
| 2202 | 1978 | Graduation | Together | 41154 | 0 | 1 | 98 | 44 | 11 | 2 | 3 | 7 |
| 7396 | 1966 | Graduation | Married | 80398 | 0 | 0 | 92 | 342 | 936 | 207 | 35 | 26 |
| 4055 | 1992 | Basic | Single | 18746 | 1 | 0 | 41 | 2 | 11 | 12 | 9 | 20 |
| 10340 | 1984 | Graduation | Together | 35196 | 1 | 0 | 68 | 75 | 141 | 43 | 39 | 187 |
| 10091 | 1956 | Graduation | Single | 60230 | 0 | 1 | 78 | 520 | 367 | 39 | 81 | 40 |
| 7629 | 1977 | Graduation | Married | 22108 | 1 | 1 | 46 | 5 | 9 | 6 | 2 | 6 |
| 10640 | 1974 | Graduation | Together | 44392 | 1 | 1 | 71 | 87 | 71 | 7 | 12 | 29 |
| 3498 | 1976 | PhD | Married | 55424 | 0 | 1 | 6 | 462 | 184 | 10 | 53 | 107 |
| 6742 | 1979 | Graduation | Married | 17688 | 1 | 0 | 82 | 2 | 1 | 3 | 1 | 2 |
| 1172 | 1983 | PhD | Married | 92491 | 0 | 0 | 71 | 979 | 935 | 29 | 25 | 22 |
| 569 | 1991 | Graduation | Single | 90273 | 0 | 0 | 32 | 704 | 853 | 120 | 74 | 111 |
| 4686 | 1962 | PhD | Widow | 82571 | 0 | 0 | 28 | 861 | 558 | 62 | 95 | 79 |
| 1381 | 1982 | PhD | Single | 38513 | 1 | 0 | 20 | 172 | 115 | 16 | 0 | 18 |
| 2634 | 1979 | Master | Single | 16653 | 1 | 0 | 10 | 5 | 31 | 15 | 4 | 7 |
| 10905 | 1955 | Graduation | Together | 42586 | 1 | 1 | 7 | 194 | 56 | 0 | 0 | 0 |
| 1744 | 1965 | Basic | Single | 23529 | 0 | 1 | 67 | 9 | 13 | 3 | 2 | 20 |
| 1000 | 1961 | Master | Together | 74881 | 1 | 1 | 48 | 505 | 270 | 36 | 27 | 54 |
| 3828 | 1951 | Graduation | Married | 71107 | 0 | 1 | 61 | 533 | 217 | 198 | 174 | 195 |
| 8605 | 1964 | PhD | Together | 46910 | 1 | 1 | 36 | 48 | 14 | 0 | 0 | 6 |
| 10304 | 1959 | Graduation | Married | 18690 | 0 | 0 | 77 | 6 | 7 | 23 | 4 | 19 |
| 4351 | 1955 | Graduation | Divorced | 37244 | 1 | 1 | 90 | 18 | 10 | 0 | 0 | 25 |
| 10129 | 1966 | Graduation | Together | 82427 | 0 | 0 | 35 | 482 | 509 | 104 | 107 | 107 |
| 2499 | 1958 | 2n Cycle | Single | 75342 | 0 | 1 | 38 | 204 | 97 | 21 | 118 | 26 |
| 10092 | 1954 | Graduation | Divorced | 70044 | 0 | 1 | 46 | 1073 | 250 | 153 | 14 | 14 |
| 7500 | 1967 | Graduation | Single | 79146 | 1 | 1 | 33 | 245 | 223 | 21 | 43 | 16 |
| 5796 | 1963 | Graduation | Married | 77437 | 0 | 0 | 70 | 560 | 442 | 29 | 44 | 29 |
| 10556 | 1959 | Graduation | Married | 54984 | 0 | 1 | 51 | 173 | 131 | 32 | 3 | 6 |
| 1064 | 1971 | PhD | Married | 42403 | 1 | 0 | 18 | 22 | 11 | 0 | 5 | 3 |
| 48 | 1964 | Graduation | Together | 55761 | 0 | 1 | 97 | 136 | 12 | 0 | 3 | 32 |
| 7610 | 1983 | Graduation | Together | 37292 | 1 | 0 | 32 | 275 | 86 | 10 | 23 | 66 |
| 263 | 1945 | PhD | Single | 45576 | 0 | 0 | 9 | 56 | 29 | 2 | 14 | 25 |
| 10814 | 1947 | Graduation | Together | 70321 | 0 | 0 | 6 | 303 | 751 | 82 | 26 | 191 |
| 9710 | 1969 | PhD | Divorced | 58086 | 0 | 1 | 80 | 708 | 62 | 0 | 0 | 15 |
| 9292 | 1952 | Graduation | Married | 81795 | 0 | 0 | 74 | 324 | 693 | 27 | 118 | 88 |
| 10250 | 1947 | Basic | Together | 28389 | 0 | 0 | 49 | 1 | 3 | 7 | 4 | 8 |
| 7881 | 1946 | Master | Married | 66835 | 0 | 0 | 21 | 620 | 195 | 34 | 17 | 141 |
| 5847 | 1969 | Graduation | Divorced | 69901 | 0 | 1 | 95 | 312 | 206 | 102 | 92 | 149 |
| 737 | 1949 | PhD | Married | 80360 | 0 | 0 | 56 | 1493 | 454 | 112 | 43 | 43 |
| 3571 | 1961 | PhD | Together | 63342 | 0 | 1 | 48 | 918 | 118 | 13 | 10 | 21 |
| 7807 | 1974 | Graduation | Married | 44989 | 0 | 1 | 26 | 98 | 106 | 49 | 10 | 106 |
| 3878 | 1980 | 2n Cycle | Single | 31859 | 1 | 0 | 3 | 3 | 7 | 15 | 8 | 11 |
| 5092 | 1949 | PhD | Widow | 51569 | 0 | 1 | 39 | 380 | 47 | 6 | 0 | 34 |
| 2154 | 1971 | Graduation | Widow | 30372 | 1 | 1 | 33 | 15 | 12 | 7 | 3 | 7 |
| 5394 | 1979 | Basic | Single | 16014 | 1 | 1 | 42 | 3 | 4 | 7 | 8 | 7 |
| 3798 | 1968 | Graduation | Married | 41120 | 1 | 1 | 80 | 24 | 23 | 0 | 8 | 24 |
| 3524 | 1971 | Master | Single | 39763 | 1 | 0 | 9 | 80 | 60 | 4 | 6 | 16 |
| 5247 | 1955 | PhD | Married | 38725 | 1 | 1 | 52 | 31 | 6 | 2 | 1 | 5 |
| 5883 | 1972 | Graduation | Married | 77981 | 1 | 0 | 78 | 138 | 204 | 16 | 126 | 60 |
| 2118 | 1964 | 2n Cycle | Married | 62905 | 0 | 1 | 68 | 166 | 96 | 119 | 107 | 59 |
| 8812 | 1979 | 2n Cycle | Divorced | 13533 | 1 | 0 | 45 | 12 | 8 | 8 | 0 | 17 |
| 6616 | 1975 | Graduation | Together | 59481 | 0 | 1 | 47 | 178 | 85 | 71 | 66 | 58 |
| 2797 | 1977 | Graduation | Married | 72117 | 0 | 1 | 34 | 707 | 171 | 65 | 60 | 50 |
| 4328 | 1986 | 2n Cycle | Married | 21955 | 1 | 0 | 81 | 5 | 7 | 17 | 14 | 11 |
| 9167 | 1956 | Graduation | Married | 67131 | 0 | 1 | 72 | 465 | 250 | 93 | 35 | 62 |
| 10560 | 1980 | PhD | Single | 36802 | 1 | 0 | 23 | 16 | 2 | 0 | 0 | 1 |
| 2631 | 1982 | Graduation | Together | 71853 | 0 | 0 | 29 | 358 | 413 | 141 | 97 | 32 |
| 8312 | 1961 | Basic | Married | 28249 | 0 | 0 | 80 | 1 | 7 | 2 | 14 | 10 |
| 5534 | 1975 | Master | Married | 47808 | 0 | 1 | 30 | 123 | 26 | 2 | 0 | 72 |
| 5093 | 1974 | PhD | Divorced | 25509 | 1 | 0 | 15 | 40 | 30 | 10 | 7 | 11 |
| 7592 | 1946 | PhD | Married | 51012 | 0 | 0 | 86 | 102 | 63 | 2 | 9 | 24 |
| 8895 | 1985 | Graduation | Single | 70596 | 0 | 0 | 68 | 347 | 534 | 17 | 0 | 26 |
| 8584 | 1952 | PhD | Together | 85431 | 0 | 0 | 54 | 376 | 462 | 168 | 53 | 53 |
| 2694 | 1967 | Graduation | Married | 42664 | 0 | 1 | 44 | 21 | 3 | 0 | 0 | 0 |
| 8910 | 1955 | Graduation | Together | 42586 | 1 | 1 | 7 | 194 | 56 | 0 | 0 | 0 |
| 7433 | 1985 | Graduation | Single | 29760 | 1 | 0 | 87 | 64 | 68 | 7 | 5 | 17 |
| 164 | 1977 | PhD | Married | 28973 | 0 | 0 | 59 | 206 | 46 | 3 | 2 | 12 |
| 10477 | 1973 | PhD | Together | 39435 | 1 | 0 | 16 | 71 | 18 | 0 | 0 | 13 |
| 2681 | 1984 | 2n Cycle | Married | 65370 | 0 | 0 | 1 | 71 | 112 | 138 | 89 | 29 |
| 5150 | 1979 | Basic | Single | 20194 | 1 | 0 | 64 | 0 | 7 | 11 | 10 | 15 |
| 5283 | 1976 | PhD | Single | 42473 | 1 | 1 | 72 | 93 | 21 | 0 | 4 | 25 |
| 9645 | 1968 | Graduation | Married | 64590 | 0 | 0 | 98 | 920 | 168 | 36 | 46 | 30 |
| 10678 | 1959 | Graduation | Together | 71232 | 0 | 1 | 91 | 653 | 170 | 34 | 26 | 17 |
| 7261 | 1971 | Graduation | Together | 34600 | 1 | 1 | 8 | 199 | 60 | 8 | 3 | 15 |
| 9648 | 1967 | Graduation | Single | 46904 | 1 | 1 | 20 | 153 | 56 | 0 | 9 | 31 |
| 2870 | 1973 | Graduation | Married | 49094 | 0 | 1 | 6 | 376 | 38 | 11 | 8 | 69 |
| 8008 | 1983 | Graduation | Together | 36075 | 1 | 0 | 54 | 46 | 30 | 12 | 1 | 30 |
| 1513 | 1979 | 2n Cycle | Together | 60839 | 1 | 1 | 72 | 600 | 128 | 223 | 150 | 128 |
| 6173 | 1979 | Graduation | Together | 77298 | 0 | 1 | 46 | 425 | 292 | 23 | 35 | 79 |
| 1419 | 1950 | Graduation | Together | 34026 | 1 | 1 | 11 | 18 | 15 | 12 | 8 | 17 |
| 9150 | 1963 | PhD | Single | 48918 | 1 | 1 | 21 | 52 | 9 | 0 | 0 | 1 |
| 7960 | 1962 | 2n Cycle | Together | 82122 | 0 | 0 | 89 | 734 | 350 | 151 | 25 | 100 |
| 1250 | 1976 | Graduation | Single | 37697 | 1 | 0 | 82 | 34 | 21 | 11 | 4 | 8 |
| 9905 | 1952 | Graduation | Together | 34074 | 1 | 1 | 69 | 135 | 41 | 10 | 1 | 67 |
| 10691 | 1960 | Master | Married | 28520 | 1 | 1 | 55 | 11 | 10 | 0 | 2 | 20 |
| 7002 | 1955 | Graduation | Single | 62535 | 0 | 1 | 13 | 163 | 90 | 0 | 45 | 52 |
| 2952 | 1977 | Master | Single | 36273 | 1 | 0 | 80 | 29 | 30 | 3 | 2 | 9 |
| 8439 | 1964 | Graduation | Together | 63404 | 0 | 2 | 97 | 734 | 70 | 11 | 44 | 17 |
| 762 | 1981 | 2n Cycle | Together | 75774 | 1 | 0 | 27 | 340 | 134 | 258 | 14 | 56 |
| 2831 | 1976 | Graduation | Together | 78416 | 0 | 1 | 99 | 453 | 279 | 188 | 38 | 183 |
| 6977 | 1974 | Graduation | Together | 75702 | 0 | 1 | 87 | 1073 | 629 | 145 | 37 | 37 |
| 6289 | 1951 | Master | Together | 59385 | 1 | 1 | 85 | 135 | 10 | 0 | 4 | 36 |
| 4168 | 1966 | Graduation | Single | 37070 | 1 | 1 | 30 | 231 | 137 | 4 | 15 | 39 |
| 8397 | 1951 | Graduation | Married | 44689 | 1 | 1 | 82 | 18 | 5 | 0 | 0 | 11 |
| 9284 | 1958 | Graduation | Together | 53977 | 0 | 1 | 21 | 620 | 165 | 0 | 24 | 82 |
| 6237 | 1966 | PhD | Single | 7144 | 0 | 2 | 92 | 81 | 33 | 5 | 2 | 291 |
| 3130 | 1964 | Graduation | Single | 18701 | 1 | 1 | 95 | 12 | 2 | 10 | 6 | 10 |
| 1619 | 1956 | Graduation | Married | 90369 | 0 | 0 | 2 | 292 | 981 | 224 | 23 | 17 |
| 1990 | 1974 | PhD | Single | 63159 | 0 | 0 | 74 | 965 | 586 | 89 | 86 | 37 |
| 5513 | 1966 | Graduation | Together | 37758 | 1 | 1 | 49 | 27 | 10 | 0 | 0 | 1 |
| 269 | 1963 | PhD | Single | 46757 | 0 | 1 | 71 | 777 | 163 | 0 | 51 | 122 |
| 8093 | 1969 | Master | Married | 79734 | 0 | 0 | 72 | 572 | 232 | 23 | 62 | 17 |
| 10513 | 1992 | Graduation | Together | 63207 | 0 | 0 | 68 | 438 | 565 | 91 | 169 | 70 |
| 10177 | 1954 | Graduation | Divorced | 72071 | 0 | 1 | 4 | 531 | 300 | 150 | 138 | 150 |
| 2549 | 1983 | PhD | Together | 21840 | 1 | 0 | 80 | 17 | 9 | 0 | 0 | 1 |
| 5782 | 1982 | 2n Cycle | Together | 58582 | 0 | 1 | 15 | 402 | 106 | 101 | 77 | 42 |
| 10057 | 1951 | Graduation | Single | 72282 | 0 | 0 | 70 | 503 | 419 | 90 | 139 | 153 |
| 10307 | 1956 | Graduation | Married | 50387 | 0 | 2 | 91 | 369 | 87 | 12 | 14 | 34 |
| 8566 | 1961 | PhD | Together | 32583 | 1 | 1 | 10 | 5 | 3 | 0 | 0 | 1 |
| 2415 | 1962 | Graduation | Together | 62568 | 0 | 1 | 99 | 362 | 398 | 80 | 35 | 61 |
| 5684 | 1971 | Master | Divorced | 44635 | 1 | 1 | 25 | 56 | 9 | 0 | 0 | 3 |
| 8334 | 1971 | Master | Single | 33316 | 1 | 1 | 34 | 79 | 31 | 4 | 4 | 12 |
| 9166 | 1968 | Graduation | Married | 63967 | 0 | 1 | 57 | 387 | 141 | 73 | 35 | 162 |
| 1440 | 1978 | 2n Cycle | Together | 52513 | 0 | 0 | 84 | 367 | 241 | 104 | 188 | 232 |
| 78 | 1969 | Graduation | Married | 25293 | 1 | 0 | 51 | 15 | 11 | 0 | 2 | 9 |
| 5441 | 1965 | PhD | Widow | 54111 | 0 | 1 | 97 | 267 | 54 | 8 | 3 | 50 |
| 5302 | 1986 | Graduation | Together | 78394 | 0 | 0 | 13 | 298 | 697 | 216 | 24 | 166 |
| 4687 | 1958 | Master | Married | 80739 | 0 | 0 | 92 | 674 | 736 | 39 | 0 | 92 |
| 1087 | 1975 | Master | Together | 22669 | 1 | 0 | 30 | 16 | 36 | 37 | 22 | 48 |
| 6859 | 1987 | Graduation | Single | 29236 | 1 | 0 | 30 | 37 | 24 | 16 | 9 | 9 |
| 9860 | 1959 | Graduation | Together | 44911 | 0 | 1 | 11 | 159 | 22 | 2 | 1 | 31 |
| 7129 | 1962 | PhD | Married | 54693 | 0 | 1 | 72 | 686 | 142 | 23 | 26 | 35 |
| 5866 | 1974 | Graduation | Together | 48186 | 1 | 0 | 39 | 97 | 66 | 12 | 7 | 34 |
| 10521 | 1977 | Graduation | Married | 54809 | 1 | 1 | 0 | 63 | 57 | 13 | 13 | 22 |
| 7393 | 1978 | Graduation | Together | 41580 | 1 | 1 | 15 | 56 | 24 | 4 | 0 | 3 |
| 7849 | 1970 | PhD | Married | 80336 | 0 | 0 | 12 | 209 | 456 | 160 | 142 | 66 |
| 332 | 1957 | Graduation | Married | 47743 | 0 | 1 | 56 | 198 | 43 | 0 | 12 | 20 |
| 9847 | 1955 | 2n Cycle | Married | 62972 | 0 | 1 | 39 | 313 | 47 | 20 | 0 | 192 |
| 531 | 1954 | PhD | Divorced | 57333 | 0 | 1 | 55 | 941 | 397 | 76 | 58 | 176 |
| 9576 | 1982 | PhD | Together | 32313 | 1 | 0 | 60 | 86 | 56 | 2 | 4 | 7 |
| 6906 | 1953 | Master | Widow | 84953 | 0 | 0 | 73 | 167 | 602 | 63 | 72 | 72 |
| 7419 | 1968 | Master | Divorced | 27071 | 1 | 0 | 90 | 8 | 19 | 0 | 2 | 3 |
| 3170 | 1957 | Master | Together | 68148 | 0 | 0 | 86 | 389 | 408 | 37 | 57 | 85 |
| 8527 | 1965 | Master | Together | 65735 | 1 | 1 | 37 | 239 | 119 | 4 | 15 | 11 |
| 7872 | 1975 | PhD | Married | 86836 | 0 | 0 | 7 | 179 | 273 | 0 | 21 | 63 |
| 9931 | 1963 | PhD | Married | 4023 | 1 | 1 | 29 | 5 | 1 | 1 | 1 | 1 |
| 10595 | 1990 | Graduation | Married | 30093 | 0 | 0 | 19 | 2 | 28 | 13 | 4 | 16 |
| 4609 | 1966 | PhD | Married | 57705 | 0 | 1 | 14 | 383 | 53 | 6 | 4 | 40 |
| 5010 | 1988 | Graduation | Single | 25008 | 1 | 0 | 72 | 2 | 8 | 6 | 1 | 9 |
| 4427 | 1995 | 2n Cycle | Single | 83257 | 0 | 0 | 56 | 536 | 590 | 38 | 107 | 67 |
| 11148 | 1975 | Graduation | Together | 22280 | 1 | 0 | 85 | 2 | 4 | 3 | 1 | 2 |
| 1168 | 1978 | PhD | Married | 72159 | 0 | 0 | 62 | 322 | 899 | 34 | 40 | 53 |
| 9595 | 1961 | Graduation | Together | 64260 | 0 | 0 | 1 | 539 | 816 | 20 | 0 | 30 |
| 10163 | 1984 | PhD | Single | 82733 | 0 | 0 | 28 | 712 | 420 | 65 | 38 | 38 |
| 2886 | 1971 | Master | Divorced | 74290 | 0 | 1 | 70 | 1121 | 72 | 0 | 12 | 12 |
| 6710 | 1951 | Master | Single | 58217 | 2 | 1 | 84 | 68 | 13 | 3 | 5 | 13 |
| 5316 | 1976 | Master | Together | 21024 | 0 | 0 | 89 | 36 | 18 | 6 | 2 | 18 |
| 9029 | 1972 | PhD | Married | 70116 | 0 | 0 | 73 | 707 | 603 | 95 | 58 | 29 |
| 521 | 1985 | Graduation | Together | 54006 | 1 | 0 | 42 | 174 | 203 | 6 | 24 | 97 |
| 1459 | 1966 | PhD | Married | 69063 | 0 | 1 | 16 | 666 | 124 | 69 | 8 | 26 |
| 10241 | 1975 | 2n Cycle | Divorced | 11448 | 0 | 0 | 16 | 0 | 0 | 6 | 2 | 6 |
| 1630 | 1979 | Graduation | Single | 61825 | 0 | 1 | 56 | 162 | 100 | 55 | 30 | 27 |
| 3254 | 1971 | Graduation | Married | 70886 | 1 | 0 | 65 | 407 | 239 | 103 | 88 | 53 |
| 9064 | 1982 | Graduation | Married | 69109 | 0 | 0 | 10 | 823 | 459 | 124 | 29 | 95 |
| 3678 | 1973 | Graduation | Widow | 60208 | 1 | 1 | 13 | 488 | 71 | 15 | 0 | 59 |
| 4227 | 1968 | Master | Together | 32889 | 1 | 1 | 78 | 28 | 13 | 4 | 2 | 8 |
| 9467 | 1984 | Graduation | Single | 34738 | 1 | 0 | 51 | 3 | 10 | 3 | 0 | 2 |
| 8486 | 1971 | Master | Together | 30538 | 1 | 0 | 27 | 284 | 52 | 8 | 3 | 20 |
| 2186 | 1977 | 2n Cycle | Together | 82326 | 0 | 0 | 30 | 938 | 754 | 159 | 81 | 183 |
| 3286 | 1967 | PhD | Divorced | 26642 | 1 | 0 | 71 | 13 | 15 | 2 | 2 | 8 |
| 8602 | 1964 | Graduation | Divorced | 69932 | 0 | 1 | 97 | 412 | 153 | 150 | 105 | 57 |
| 3722 | 1972 | Graduation | Single | 44503 | 1 | 1 | 83 | 31 | 8 | 0 | 0 | 8 |
| 6715 | 1948 | PhD | Single | 60200 | 0 | 1 | 3 | 502 | 132 | 0 | 6 | 26 |
| 4796 | 1952 | Graduation | Divorced | 49638 | 0 | 1 | 71 | 18 | 3 | 3 | 5 | 0 |
| 9612 | 1987 | 2n Cycle | Single | 23830 | 0 | 0 | 3 | 1 | 6 | 4 | 8 | 16 |
| 3766 | 1959 | Master | Widow | 33051 | 0 | 0 | 15 | 100 | 243 | 108 | 94 | 219 |
| 1399 | 1958 | Graduation | Married | 72905 | 0 | 0 | 52 | 407 | 445 | 181 | 165 | 203 |
| 1570 | 1951 | PhD | Together | 69702 | 0 | 1 | 8 | 664 | 240 | 50 | 19 | 57 |
| 3426 | 1975 | Graduation | Divorced | 70300 | 1 | 0 | 89 | 1045 | 338 | 60 | 46 | 46 |
| 3074 | 1984 | PhD | Married | 70643 | 0 | 0 | 66 | 1218 | 304 | 23 | 143 | 33 |
| 8341 | 1969 | PhD | Married | 30396 | 1 | 0 | 22 | 15 | 6 | 0 | 1 | 12 |
| 5180 | 1968 | PhD | Divorced | 50616 | 0 | 1 | 56 | 128 | 16 | 0 | 1 | 4 |
| 6461 | 1969 | Master | Single | 62772 | 0 | 1 | 74 | 581 | 157 | 43 | 8 | 108 |
| 7679 | 1985 | PhD | Single | 30298 | 0 | 0 | 48 | 6 | 12 | 6 | 1 | 0 |
| 10702 | 1984 | Graduation | Single | 52413 | 1 | 0 | 67 | 185 | 133 | 56 | 56 | 12 |
| 7505 | 1957 | PhD | Married | 44155 | 1 | 1 | 24 | 22 | 9 | 0 | 0 | 14 |
| 5113 | 1971 | PhD | Divorced | 86979 | 0 | 0 | 67 | 584 | 835 | 65 | 83 | 35 |
| 10858 | 1975 | Graduation | Together | 76532 | 1 | 1 | 38 | 355 | 177 | 90 | 138 | 30 |
| 2961 | 1982 | Graduation | Married | 42081 | 1 | 0 | 86 | 175 | 110 | 54 | 6 | 27 |
| 2747 | 1988 | PhD | Married | 67546 | 0 | 0 | 90 | 864 | 768 | 150 | 38 | 172 |
| 3010 | 1989 | Master | Together | 88420 | 0 | 0 | 87 | 957 | 612 | 99 | 95 | 153 |
| 5790 | 1985 | Graduation | Married | 31158 | 1 | 0 | 62 | 25 | 16 | 20 | 0 | 5 |
| 6892 | 1968 | Graduation | Divorced | 61671 | 0 | 1 | 23 | 641 | 56 | 0 | 0 | 28 |
| 1743 | 1974 | Graduation | Single | 69719 | 0 | 0 | 99 | 273 | 208 | 177 | 14 | 43 |
| 3578 | 1949 | Graduation | Divorced | 49160 | 0 | 1 | 29 | 122 | 43 | 25 | 10 | 15 |
| 8462 | 1978 | Basic | Together | 24882 | 1 | 0 | 52 | 1 | 10 | 29 | 0 | 36 |
| 5558 | 1954 | PhD | Single | 90933 | 0 | 0 | 90 | 1020 | 430 | 62 | 63 | 79 |
| 4619 | 1945 | PhD | Single | 113734 | 0 | 0 | 9 | 6 | 3 | 1 | 262 | 3 |
| 8780 | 1950 | PhD | Together | 59292 | 0 | 1 | 71 | 378 | 68 | 19 | 14 | 14 |
| 10789 | 1964 | PhD | Married | 45759 | 1 | 1 | 13 | 42 | 18 | 3 | 0 | 4 |
| 10779 | 1983 | Graduation | Single | 22148 | 0 | 0 | 16 | 15 | 14 | 0 | 4 | 11 |
| 5896 | 1987 | Master | Married | 73395 | 0 | 0 | 94 | 272 | 80 | 20 | 7 | 11 |
| 2337 | 1971 | Graduation | Divorced | 29819 | 1 | 0 | 77 | 9 | 24 | 2 | 1 | 2 |
| 10951 | 1968 | Graduation | Married | 45688 | 0 | 1 | 20 | 279 | 18 | 0 | 0 | 9 |
| 544 | 1954 | Graduation | Married | 62820 | 0 | 0 | 51 | 398 | 265 | 138 | 61 | 53 |
| 17 | 1971 | PhD | Married | 60491 | 0 | 1 | 81 | 637 | 237 | 12 | 19 | 76 |
| 10680 | 1986 | Graduation | Together | 33235 | 1 | 0 | 71 | 45 | 16 | 2 | 1 | 6 |
| 3265 | 1959 | Graduation | Married | 35701 | 0 | 0 | 36 | 21 | 9 | 7 | 3 | 5 |
| 5623 | 1980 | Master | Married | 31535 | 1 | 0 | 95 | 15 | 13 | 0 | 0 | 19 |
| 5832 | 1960 | 2n Cycle | Together | 92556 | 0 | 0 | 32 | 493 | 352 | 184 | 23 | 28 |
| 5544 | 1970 | Graduation | Single | 67384 | 0 | 1 | 32 | 957 | 175 | 158 | 53 | 107 |
| 6417 | 1971 | Master | Together | 80573 | 0 | 0 | 85 | 829 | 430 | 60 | 92 | 15 |
| 5831 | 1967 | Graduation | Married | 77870 | 0 | 1 | 93 | 1017 | 500 | 65 | 50 | 133 |
| 7101 | 1963 | PhD | Widow | 52278 | 0 | 1 | 24 | 953 | 71 | 0 | 0 | 174 |
| 10176 | 1968 | Graduation | Single | 57107 | 0 | 1 | 44 | 159 | 120 | 0 | 0 | 137 |
| 2326 | 1990 | Graduation | Married | 18929 | 0 | 0 | 15 | 32 | 8 | 23 | 4 | 18 |
| 4385 | 1981 | PhD | Single | 36038 | 1 | 0 | 82 | 23 | 15 | 0 | 2 | 7 |
| 2929 | 1976 | Graduation | Single | 20180 | 0 | 0 | 27 | 18 | 24 | 15 | 20 | 18 |
| 10686 | 1965 | PhD | Together | 34230 | 1 | 1 | 72 | 15 | 4 | 0 | 0 | 2 |
| 2546 | 1977 | 2n Cycle | Single | 31878 | 0 | 1 | 7 | 23 | 5 | 10 | 5 | 23 |
| 3283 | 1972 | 2n Cycle | Married | 70932 | 0 | 1 | 57 | 200 | 100 | 46 | 185 | 185 |
| 3138 | 1956 | Graduation | Single | 91249 | 0 | 0 | 84 | 1324 | 119 | 71 | 108 | 27 |
| 4994 | 1943 | Master | Single | 77598 | 0 | 0 | 53 | 1193 | 281 | 129 | 66 | 33 |
| 7966 | 1959 | Graduation | Single | 80982 | 1 | 1 | 48 | 505 | 401 | 104 | 22 | 22 |
| 3112 | 1977 | Master | Married | 22701 | 1 | 0 | 2 | 2 | 9 | 0 | 4 | 5 |
| 10872 | 1969 | PhD | Married | 55212 | 0 | 1 | 65 | 1103 | 45 | 0 | 0 | 34 |
| 2181 | 1970 | Graduation | Married | 70617 | 0 | 0 | 45 | 353 | 753 | 40 | 46 | 27 |
| 1867 | 1957 | Graduation | Single | 64849 | 0 | 0 | 42 | 652 | 350 | 94 | 84 | 108 |
| 1518 | 1965 | Master | Married | 62694 | 1 | 1 | 29 | 379 | 157 | 25 | 91 | 91 |
| 5734 | 1974 | PhD | Married | 61917 | 1 | 1 | 83 | 46 | 36 | 2 | 2 | 1 |
| 2878 | 1947 | PhD | Married | 67472 | 0 | 1 | 93 | 162 | 127 | 8 | 17 | 69 |
| 1458 | 1982 | Master | Married | 21059 | 1 | 0 | 40 | 8 | 19 | 3 | 3 | 8 |
| 7007 | 1968 | Master | Married | 29543 | 2 | 0 | 47 | 17 | 18 | 3 | 4 | 18 |
| 6200 | 1951 | Graduation | Married | 75903 | 0 | 1 | 50 | 340 | 185 | 130 | 38 | 100 |
| 1403 | 1975 | 2n Cycle | Together | 34984 | 1 | 1 | 40 | 8 | 15 | 3 | 5 | 3 |
| 4827 | 1956 | PhD | Single | 54998 | 0 | 1 | 3 | 154 | 202 | 39 | 30 | 8 |
| 6250 | 1949 | PhD | Widow | 54356 | 0 | 1 | 62 | 710 | 30 | 20 | 0 | 0 |
| 9291 | 1959 | Master | Married | 34242 | 0 | 1 | 25 | 8 | 4 | 0 | 0 | 1 |
| 2478 | 1973 | Graduation | Married | 25410 | 1 | 0 | 48 | 2 | 4 | 13 | 13 | 4 |
| 1139 | 1984 | PhD | Married | 73356 | 0 | 0 | 56 | 1050 | 322 | 0 | 14 | 112 |
| 5138 | 1950 | Graduation | Together | 28320 | 0 | 1 | 68 | 19 | 14 | 3 | 2 | 4 |
| 5393 | 1977 | Graduation | Single | 23763 | 1 | 0 | 64 | 22 | 6 | 6 | 2 | 6 |
| 10413 | 1984 | Graduation | Married | 72570 | 0 | 0 | 67 | 274 | 216 | 151 | 141 | 224 |
| 5015 | 1976 | Master | Married | 34529 | 1 | 0 | 94 | 68 | 38 | 3 | 6 | 41 |
| 10868 | 1951 | Graduation | Widow | 70792 | 0 | 0 | 82 | 344 | 654 | 104 | 11 | 114 |
| 10676 | 1982 | Graduation | Married | 63211 | 0 | 0 | 3 | 145 | 459 | 205 | 26 | 145 |
| 2495 | 1974 | Master | Married | 83891 | 0 | 1 | 24 | 217 | 350 | 111 | 85 | 15 |
| 7842 | 1968 | Graduation | Single | 36065 | 1 | 1 | 54 | 18 | 34 | 10 | 2 | 3 |
| 9955 | 1954 | Graduation | Together | 39898 | 0 | 1 | 20 | 69 | 26 | 12 | 7 | 12 |
| 6663 | 1940 | PhD | Single | 51141 | 0 | 0 | 96 | 144 | 7 | 0 | 0 | 6 |
| 2162 | 1976 | Graduation | Married | 56939 | 0 | 1 | 19 | 256 | 103 | 90 | 29 | 49 |
| 3434 | 1951 | Graduation | Single | 80872 | 0 | 0 | 60 | 483 | 567 | 94 | 12 | 108 |
| 7919 | 1976 | PhD | Together | 72335 | 0 | 0 | 2 | 1285 | 653 | 28 | 21 | 0 |
| 5626 | 1964 | PhD | Single | 61798 | 0 | 0 | 13 | 338 | 89 | 11 | 8 | 13 |
| 6428 | 1950 | PhD | Widow | 76842 | 0 | 0 | 37 | 605 | 345 | 84 | 54 | 32 |
| 8514 | 1976 | Graduation | Together | 29478 | 1 | 0 | 59 | 8 | 7 | 3 | 1 | 1 |
| 10448 | 1956 | Graduation | Single | 46998 | 0 | 1 | 55 | 172 | 86 | 45 | 6 | 27 |
| 2109 | 1990 | Graduation | Single | 96843 | 0 | 0 | 60 | 448 | 951 | 40 | 17 | 17 |
| 7530 | 1950 | PhD | Widow | 56551 | 1 | 1 | 48 | 67 | 32 | 17 | 2 | 16 |
| 8925 | 1965 | Master | Married | 70053 | 0 | 1 | 38 | 512 | 98 | 81 | 179 | 89 |
| 3009 | 1962 | PhD | Widow | 71670 | 0 | 0 | 8 | 1462 | 128 | 0 | 0 | 160 |
| 6355 | 1978 | Graduation | Married | 44359 | 1 | 1 | 19 | 20 | 14 | 7 | 3 | 1 |
| 3517 | 1952 | Graduation | Single | 40887 | 1 | 1 | 32 | 50 | 44 | 10 | 10 | 43 |
| 1158 | 1966 | Graduation | Divorced | 48877 | 0 | 1 | 27 | 102 | 15 | 2 | 0 | 24 |
| 6203 | 1947 | Graduation | Together | 74485 | 0 | 0 | 58 | 499 | 815 | 173 | 49 | 49 |
| 7165 | 1972 | Graduation | Together | 64474 | 0 | 1 | 59 | 381 | 172 | 56 | 86 | 93 |
| 3595 | 1963 | Graduation | Together | 77226 | 0 | 1 | 29 | 631 | 239 | 128 | 76 | 21 |
| 8537 | 1949 | Graduation | Widow | 72643 | 0 | 0 | 60 | 526 | 553 | 123 | 94 | 53 |
| 4331 | 1978 | Master | Together | 85738 | 0 | 0 | 41 | 913 | 376 | 17 | 26 | 13 |
| 6281 | 1966 | Graduation | Divorced | 55686 | 0 | 1 | 27 | 673 | 199 | 37 | 47 | 26 |
| 4338 | 1983 | Graduation | Single | 39062 | 1 | 0 | 28 | 23 | 9 | 0 | 0 | 12 |
| 2452 | 1971 | Graduation | Together | 34600 | 1 | 1 | 8 | 199 | 60 | 8 | 3 | 15 |
| 9507 | 1975 | Graduation | Married | 40794 | 0 | 1 | 18 | 261 | 73 | 4 | 23 | 50 |
| 8360 | 1971 | 2n Cycle | Married | 54690 | 1 | 1 | 76 | 111 | 37 | 7 | 9 | 18 |
| 10311 | 1969 | Graduation | Married | 4428 | 0 | 1 | 0 | 16 | 12 | 2 | 4 | 321 |
| 5117 | 1963 | 2n Cycle | Married | 32632 | 0 | 0 | 32 | 63 | 137 | 153 | 19 | 53 |
| 4867 | 1968 | PhD | Single | 38236 | 1 | 1 | 2 | 58 | 18 | 2 | 0 | 10 |
| 9289 | 1979 | Graduation | Married | 36781 | 1 | 0 | 16 | 29 | 17 | 0 | 3 | 13 |
| 10913 | 1984 | Master | Single | 31385 | 1 | 0 | 56 | 3 | 12 | 0 | 1 | 9 |
| 3032 | 1984 | Graduation | Married | 24570 | 1 | 0 | 97 | 28 | 62 | 11 | 14 | 44 |
| 8524 | 1974 | PhD | Divorced | 25509 | 1 | 0 | 15 | 40 | 30 | 10 | 7 | 11 |
| 3334 | 1951 | Graduation | Married | 94642 | 0 | 0 | 35 | 879 | 797 | 106 | 143 | 143 |
| 4470 | 1962 | Master | Married | 58646 | 0 | 1 | 3 | 62 | 44 | 6 | 5 | 22 |
| 1406 | 1975 | Graduation | Single | 53201 | 1 | 1 | 49 | 280 | 81 | 20 | 0 | 27 |
| 8619 | 1957 | Graduation | Together | 21994 | 0 | 1 | 4 | 9 | 6 | 3 | 1 | 3 |
| 10821 | 1978 | Graduation | Married | 57113 | 1 | 1 | 45 | 182 | 33 | 0 | 2 | 42 |
| 4552 | 1991 | Graduation | Married | 51373 | 0 | 0 | 37 | 83 | 101 | 64 | 26 | 117 |
| 898 | 1986 | Graduation | Married | 23477 | 1 | 0 | 39 | 38 | 54 | 3 | 8 | 29 |
| 9797 | 1956 | Graduation | Married | 58116 | 0 | 1 | 38 | 228 | 130 | 4 | 11 | 51 |
| 10949 | 1963 | PhD | Divorced | 72968 | 0 | 0 | 8 | 1092 | 592 | 145 | 37 | 55 |
| 8212 | 1971 | Master | Married | 39791 | 0 | 1 | 89 | 85 | 27 | 13 | 13 | 21 |
| 6248 | 1947 | Master | Single | 91712 | 0 | 0 | 47 | 1276 | 746 | 94 | 29 | 48 |
| 10164 | 1958 | Graduation | Single | 94472 | 0 | 1 | 75 | 1017 | 417 | 108 | 100 | 16 |
| 4547 | 1960 | Graduation | Together | 13672 | 1 | 1 | 86 | 6 | 9 | 2 | 1 | 5 |
| 6815 | 1980 | 2n Cycle | Married | 96547 | 0 | 0 | 4 | 448 | 125 | 52 | 101 | 62 |
| 4122 | 1975 | Graduation | Married | 79205 | 0 | 0 | 73 | 504 | 117 | 179 | 28 | 44 |
| 10841 | 1975 | PhD | Together | 56559 | 0 | 1 | 46 | 226 | 133 | 41 | 31 | 31 |
| 5370 | 1973 | PhD | Married | 32644 | 1 | 0 | 38 | 239 | 141 | 0 | 7 | 23 |
| 176 | 1980 | 2n Cycle | Single | 67506 | 0 | 1 | 73 | 90 | 67 | 33 | 36 | 67 |
| 4860 | 1970 | Graduation | Single | 24206 | 1 | 0 | 66 | 7 | 8 | 3 | 2 | 3 |
| 10757 | 1967 | PhD | Divorced | 28420 | 1 | 0 | 36 | 4 | 5 | 2 | 0 | 0 |
| 4023 | 1970 | Graduation | Married | 22979 | 1 | 0 | 29 | 16 | 19 | 20 | 21 | 22 |
| 6679 | 1966 | Graduation | Single | 33279 | 0 | 0 | 29 | 10 | 3 | 0 | 0 | 0 |
| 9923 | 1972 | Master | Single | 46423 | 1 | 1 | 6 | 68 | 16 | 0 | 0 | 8 |
| 7181 | 1977 | Graduation | Married | 30368 | 0 | 1 | 97 | 35 | 13 | 2 | 0 | 2 |
| 3599 | 1970 | Graduation | Married | 63684 | 0 | 1 | 61 | 575 | 428 | 208 | 93 | 80 |
| 405 | 1964 | Graduation | Divorced | 41638 | 0 | 1 | 68 | 315 | 31 | 4 | 0 | 91 |
| 6870 | 1959 | PhD | Divorced | 68805 | 0 | 1 | 73 | 182 | 49 | 17 | 13 | 20 |
| 832 | 1966 | PhD | Together | 65814 | 0 | 1 | 90 | 561 | 113 | 10 | 14 | 35 |
| 2002 | 1958 | Graduation | Divorced | 71964 | 0 | 0 | 81 | 587 | 932 | 180 | 34 | 86 |
| 3657 | 1986 | Graduation | Single | 39146 | 1 | 0 | 1 | 94 | 33 | 13 | 12 | 12 |
| 500 | 1977 | Graduation | Together | 96876 | 0 | 0 | 79 | 908 | 735 | 40 | 194 | 21 |
| 1951 | 1981 | Basic | Married | 34445 | 0 | 0 | 92 | 228 | 122 | 208 | 129 | 30 |
| 3262 | 1958 | Graduation | Single | 68281 | 0 | 0 | 31 | 995 | 417 | 42 | 48 | 41 |
| 4102 | 1975 | 2n Cycle | Married | 37284 | 1 | 1 | 46 | 11 | 2 | 2 | 1 | 6 |
| 7042 | 1983 | Graduation | Married | 36790 | 0 | 0 | 14 | 3 | 14 | 15 | 21 | 10 |
| 10598 | 1967 | Graduation | Together | 27943 | 1 | 1 | 89 | 12 | 16 | 4 | 1 | 3 |
| 255 | 1951 | Graduation | Divorced | 22263 | 1 | 1 | 31 | 17 | 2 | 0 | 0 | 2 |
| 2375 | 1972 | Graduation | Together | 30261 | 1 | 2 | 75 | 8 | 5 | 0 | 3 | 6 |
| 9829 | 1978 | Graduation | Together | 28587 | 1 | 0 | 42 | 22 | 17 | 12 | 10 | 13 |
| 6214 | 1982 | Master | Married | 43815 | 1 | 0 | 53 | 14 | 29 | 4 | 7 | 15 |
| 4954 | 1956 | Graduation | Married | 48195 | 1 | 1 | 53 | 106 | 68 | 52 | 7 | 5 |
| 7861 | 1952 | Master | Married | 77027 | 0 | 1 | 23 | 820 | 242 | 45 | 0 | 11 |
| 4837 | 1965 | PhD | Married | 71322 | 0 | 1 | 57 | 753 | 226 | 69 | 10 | 204 |
| 9423 | 1979 | Master | Married | 32765 | 1 | 0 | 49 | 13 | 17 | 7 | 3 | 3 |
| 4198 | 1965 | Graduation | Together | 29672 | 1 | 1 | 6 | 9 | 3 | 0 | 4 | 8 |
| 153 | 1953 | Graduation | Divorced | 23272 | 0 | 0 | 29 | 19 | 6 | 4 | 2 | 12 |
| 9323 | 1949 | Master | Together | 49912 | 0 | 1 | 5 | 520 | 223 | 32 | 49 | 42 |
| 10001 | 1985 | 2n Cycle | Together | 7500 | 1 | 0 | 98 | 5 | 17 | 13 | 14 | 34 |
| 3945 | 1947 | PhD | Widow | 68117 | 0 | 1 | 80 | 618 | 215 | 0 | 17 | 36 |
| 3799 | 1955 | Graduation | Married | 67225 | 0 | 1 | 4 | 315 | 322 | 46 | 7 | 143 |
| 8625 | 1976 | Graduation | Married | 17649 | 1 | 0 | 70 | 15 | 23 | 0 | 5 | 1 |
| 3491 | 1975 | Graduation | Together | 55914 | 0 | 1 | 32 | 384 | 364 | 119 | 101 | 232 |
| 983 | 1984 | Graduation | Married | 40059 | 1 | 0 | 82 | 110 | 92 | 28 | 10 | 145 |
| 9119 | 1950 | Graduation | Together | 60905 | 0 | 1 | 27 | 208 | 76 | 36 | 17 | 38 |
| 4786 | 1977 | Graduation | Married | 75330 | 1 | 1 | 94 | 555 | 257 | 93 | 61 | 61 |
| 5872 | 1951 | Graduation | Single | 60689 | 0 | 1 | 23 | 240 | 216 | 63 | 6 | 24 |
| 6568 | 1984 | Graduation | Married | 38680 | 1 | 0 | 97 | 11 | 36 | 15 | 5 | 12 |
| 5628 | 1982 | Graduation | Together | 61416 | 0 | 0 | 25 | 848 | 323 | 201 | 61 | 78 |
| 5631 | 1991 | Graduation | Single | 49767 | 0 | 0 | 92 | 202 | 197 | 55 | 42 | 149 |
| 4974 | 1970 | Graduation | Single | 83273 | 1 | 2 | 98 | 433 | 650 | 16 | 102 | 102 |
| 8416 | 1981 | Graduation | Married | 29009 | 1 | 0 | 19 | 6 | 15 | 10 | 5 | 2 |
| 5454 | 1979 | Master | Married | 45057 | 1 | 0 | 80 | 37 | 7 | 3 | 0 | 3 |
| 4095 | 1971 | Graduation | Married | 37150 | 1 | 0 | 80 | 167 | 64 | 49 | 34 | 116 |
| 5474 | 1970 | Graduation | Single | 43020 | 1 | 0 | 79 | 45 | 99 | 4 | 25 | 43 |
| 4268 | 1959 | Graduation | Married | 53154 | 0 | 1 | 50 | 129 | 21 | 0 | 1 | 7 |
| 10701 | 1973 | Graduation | Married | 65308 | 0 | 0 | 60 | 713 | 264 | 120 | 80 | 34 |
| 3507 | 1970 | Graduation | Single | 76467 | 1 | 0 | 44 | 676 | 426 | 210 | 44 | 58 |
| 2079 | 1947 | 2n Cycle | Married | 81044 | 0 | 0 | 0 | 450 | 535 | 73 | 98 | 26 |
| 626 | 1951 | Graduation | Married | 32871 | 1 | 1 | 28 | 22 | 12 | 0 | 2 | 5 |
| 4426 | 1975 | Graduation | Single | 55801 | 1 | 1 | 35 | 367 | 51 | 6 | 4 | 95 |
| 2591 | 1959 | Graduation | Widow | 76320 | 0 | 1 | 49 | 526 | 214 | 69 | 53 | 35 |
| 10509 | 1955 | Master | Single | 36927 | 1 | 1 | 46 | 51 | 16 | 0 | 0 | 4 |
| 6382 | 1953 | Graduation | Together | 48794 | 1 | 1 | 97 | 25 | 11 | 3 | 0 | 15 |
| 6673 | 1965 | Graduation | Single | 23478 | 0 | 0 | 51 | 28 | 27 | 12 | 17 | 39 |
| 7441 | 1973 | Graduation | Divorced | 71128 | 1 | 0 | 80 | 958 | 447 | 20 | 0 | 31 |
| 1071 | 1976 | PhD | Divorced | 70179 | 0 | 1 | 10 | 532 | 168 | 69 | 44 | 133 |
| 10061 | 1950 | Graduation | Married | 59462 | 0 | 1 | 29 | 724 | 143 | 0 | 8 | 196 |
| 8775 | 1969 | Graduation | Together | 38361 | 1 | 0 | 74 | 39 | 56 | 20 | 8 | 14 |
| 2345 | 1982 | PhD | Together | 70038 | 0 | 0 | 54 | 587 | 348 | 71 | 54 | 130 |
| 322 | 1978 | Graduation | Together | 42554 | 1 | 1 | 93 | 29 | 11 | 0 | 0 | 0 |
| 10897 | 1974 | Graduation | Married | 67445 | 0 | 1 | 63 | 757 | 217 | 29 | 80 | 11 |
| 123 | 1951 | Graduation | Widow | 67046 | 0 | 1 | 92 | 544 | 133 | 23 | 151 | 107 |
| 6103 | 1948 | Graduation | Married | 42192 | 0 | 0 | 40 | 40 | 15 | 17 | 6 | 7 |
| 7899 | 1952 | PhD | Married | 77610 | 0 | 1 | 70 | 1245 | 332 | 21 | 33 | 16 |
| 10500 | 1984 | Graduation | Married | 31761 | 1 | 0 | 96 | 19 | 20 | 16 | 14 | 28 |
| 1655 | 1979 | Graduation | Together | 34350 | 1 | 0 | 81 | 16 | 15 | 2 | 1 | 11 |
| 2406 | 1949 | Graduation | Together | 54591 | 0 | 1 | 63 | 376 | 94 | 12 | 9 | 24 |
| 2712 | 1956 | Graduation | Married | 71866 | 0 | 1 | 85 | 184 | 178 | 103 | 39 | 33 |
| 5517 | 1969 | Graduation | Married | 25293 | 1 | 0 | 51 | 15 | 11 | 0 | 2 | 9 |
| 10643 | 1987 | PhD | Single | 42000 | 0 | 0 | 23 | 124 | 267 | 85 | 59 | 35 |
| 2254 | 1983 | Graduation | Married | 69520 | 0 | 0 | 95 | 627 | 414 | 121 | 80 | 93 |
| 10281 | 1970 | Graduation | Divorced | 64713 | 1 | 0 | 11 | 180 | 241 | 13 | 54 | 54 |
| 6958 | 1977 | Master | Married | 27889 | 1 | 0 | 42 | 14 | 4 | 0 | 0 | 8 |
| 954 | 1960 | Basic | Widow | 22123 | 0 | 0 | 77 | 3 | 24 | 34 | 7 | 31 |
| 4643 | 1973 | Graduation | Married | 27803 | 1 | 0 | 40 | 8 | 46 | 38 | 9 | 49 |
| 6497 | 1960 | Graduation | Married | 51651 | 0 | 1 | 32 | 293 | 23 | 13 | 6 | 92 |
| 5396 | 1988 | Graduation | Married | 68487 | 0 | 0 | 48 | 758 | 385 | 33 | 89 | 89 |
| 1052 | 1969 | Graduation | Married | 56796 | 0 | 1 | 24 | 656 | 161 | 62 | 47 | 37 |
| 2802 | 1992 | 2n Cycle | Married | 87000 | 0 | 0 | 61 | 196 | 607 | 67 | 17 | 49 |
| 6343 | 1959 | Graduation | Married | 79823 | 0 | 1 | 6 | 835 | 380 | 114 | 73 | 43 |
| 6507 | 1980 | Graduation | Single | 30828 | 1 | 0 | 16 | 16 | 15 | 2 | 0 | 12 |
| 7901 | 1971 | Master | Married | 34109 | 0 | 1 | 39 | 9 | 5 | 2 | 1 | 4 |
| 4865 | 1974 | Master | Divorced | 53367 | 1 | 1 | 2 | 229 | 140 | 10 | 3 | 11 |
| 2686 | 1969 | Basic | Together | 22390 | 0 | 0 | 49 | 0 | 4 | 15 | 1 | 5 |
| 3107 | 1976 | Graduation | Together | 71322 | 0 | 1 | 31 | 121 | 124 | 24 | 15 | 42 |
| 7734 | 1993 | Graduation | Together | 79244 | 0 | 0 | 58 | 471 | 125 | 212 | 61 | 245 |
| 1146 | 1949 | Master | Together | 49912 | 0 | 1 | 5 | 520 | 223 | 32 | 49 | 42 |
| 11031 | 1950 | PhD | Married | 48699 | 1 | 1 | 90 | 26 | 10 | 2 | 0 | 1 |
| 7428 | 1975 | Graduation | Together | 80144 | 0 | 0 | 47 | 240 | 445 | 250 | 192 | 108 |
| 975 | 1956 | Graduation | Single | 54252 | 1 | 1 | 25 | 178 | 26 | 8 | 4 | 44 |
| 1103 | 1976 | Master | Married | 81929 | 1 | 0 | 60 | 1486 | 278 | 49 | 0 | 185 |
| 3422 | 1975 | Graduation | Married | 76068 | 0 | 1 | 67 | 1115 | 128 | 33 | 12 | 76 |
| 1055 | 1976 | Master | Married | 53204 | 1 | 1 | 40 | 29 | 8 | 2 | 0 | 6 |
| 6544 | 1949 | PhD | Together | 67911 | 0 | 1 | 63 | 529 | 356 | 63 | 28 | 0 |
| 1241 | 1984 | 2n Cycle | Married | 14796 | 1 | 0 | 1 | 13 | 8 | 7 | 4 | 16 |
| 2909 | 1974 | PhD | Married | 78128 | 0 | 1 | 89 | 934 | 230 | 16 | 24 | 36 |
| 5802 | 1972 | Basic | Married | 14188 | 0 | 0 | 40 | 2 | 11 | 16 | 12 | 27 |
| 1407 | 1986 | Basic | Married | 20425 | 1 | 0 | 5 | 4 | 5 | 3 | 16 | 17 |
| 6183 | 1962 | Master | Married | 58646 | 0 | 1 | 3 | 62 | 44 | 6 | 5 | 22 |
| 340 | 1970 | Graduation | Divorced | 72967 | 0 | 1 | 1 | 158 | 179 | 0 | 0 | 125 |
| 5991 | 1949 | Master | Married | 48150 | 0 | 1 | 24 | 173 | 39 | 3 | 2 | 47 |
| 3104 | 1961 | Graduation | Single | 82332 | 0 | 0 | 89 | 830 | 968 | 51 | 79 | 19 |
| 9729 | 1955 | Graduation | Widow | 58275 | 1 | 1 | 48 | 189 | 253 | 56 | 43 | 64 |
| 1008 | 1981 | PhD | Together | 44953 | 0 | 0 | 31 | 728 | 133 | 11 | 8 | 124 |
| 11091 | 1953 | Graduation | Together | 34587 | 1 | 1 | 68 | 7 | 9 | 2 | 0 | 2 |
| 3969 | 1974 | Master | Together | 43018 | 0 | 1 | 46 | 35 | 17 | 7 | 6 | 64 |
| 1916 | 1954 | Master | Married | 45736 | 0 | 1 | 92 | 188 | 180 | 20 | 3 | 43 |
| 9907 | 1969 | Master | Together | 66476 | 0 | 1 | 80 | 742 | 152 | 25 | 9 | 57 |
| 87 | 1981 | 2n Cycle | Married | 27733 | 1 | 0 | 16 | 0 | 5 | 26 | 2 | 17 |
| 8659 | 1952 | PhD | Together | 69805 | 0 | 1 | 50 | 750 | 174 | 13 | 10 | 20 |
| 6262 | 1962 | Master | Single | 72217 | 0 | 0 | 93 | 816 | 450 | 55 | 56 | 154 |
| 6147 | 1971 | Graduation | Divorced | 25818 | 1 | 0 | 51 | 5 | 8 | 2 | 2 | 9 |
| 8832 | 1976 | Master | Together | 37509 | 1 | 0 | 24 | 37 | 56 | 12 | 8 | 5 |
| 10067 | 1976 | 2n Cycle | Together | 25176 | 1 | 1 | 79 | 4 | 4 | 0 | 0 | 5 |
| 7532 | 1980 | Graduation | Married | 43586 | 0 | 1 | 26 | 99 | 11 | 4 | 0 | 16 |
| 4915 | 1956 | 2n Cycle | Married | 53230 | 0 | 1 | 86 | 176 | 98 | 136 | 21 | 229 |
| 2115 | 1957 | Graduation | Together | 50116 | 1 | 1 | 68 | 54 | 10 | 0 | 0 | 2 |
| 2088 | 1972 | Graduation | Together | 84906 | 0 | 0 | 98 | 997 | 414 | 99 | 30 | 76 |
| 2493 | 1966 | Graduation | Married | 61286 | 0 | 1 | 34 | 356 | 107 | 19 | 9 | 117 |
| 6292 | 1986 | PhD | Married | 82333 | 0 | 0 | 60 | 1311 | 359 | 46 | 89 | 17 |
| 1631 | 1965 | PhD | Together | 65220 | 0 | 0 | 3 | 890 | 292 | 0 | 25 | 12 |
| 10104 | 1974 | Graduation | Together | 33590 | 2 | 1 | 65 | 4 | 2 | 0 | 0 | 2 |
| 3006 | 1976 | Graduation | Divorced | 30992 | 1 | 0 | 83 | 17 | 14 | 7 | 3 | 2 |
| 3919 | 1976 | Master | Single | 72309 | 0 | 0 | 64 | 960 | 883 | 50 | 38 | 0 |
| 11181 | 1949 | PhD | Married | 156924 | 0 | 0 | 85 | 2 | 2 | 1 | 1 | 1 |
| 642 | 1980 | Basic | Married | 16005 | 1 | 0 | 69 | 1 | 2 | 20 | 30 | 47 |
| 4369 | 1957 | Master | Married | 65487 | 0 | 0 | 48 | 240 | 500 | 199 | 0 | 163 |
| 10127 | 1965 | Graduation | Married | 58692 | 0 | 1 | 21 | 301 | 61 | 4 | 7 | 11 |
| 271 | 1969 | Graduation | Widow | 40590 | 1 | 1 | 30 | 154 | 50 | 6 | 11 | 37 |
| 4973 | 1970 | Graduation | Single | 20587 | 1 | 0 | 39 | 2 | 6 | 4 | 1 | 9 |
| 2948 | 1954 | Master | Divorced | 62637 | 0 | 1 | 76 | 104 | 48 | 4 | 12 | 5 |
| 2715 | 1966 | Master | Divorced | 29435 | 1 | 1 | 11 | 70 | 37 | 4 | 2 | 64 |
| 10432 | 1974 | Graduation | Divorced | 19346 | 1 | 0 | 26 | 2 | 9 | 3 | 6 | 2 |
| 9216 | 1971 | Graduation | Married | 35788 | 1 | 1 | 34 | 23 | 11 | 3 | 1 | 4 |
| 7124 | 1968 | Graduation | Divorced | 36997 | 1 | 1 | 72 | 43 | 12 | 8 | 0 | 27 |
| 9727 | 1957 | Graduation | Married | 23539 | 0 | 0 | 13 | 4 | 11 | 16 | 1 | 25 |
| 5136 | 1973 | Graduation | Single | 65333 | 0 | 1 | 58 | 654 | 92 | 0 | 15 | 30 |
| 9790 | 1957 | Graduation | Single | 78499 | 0 | 0 | 12 | 912 | 170 | 47 | 36 | 97 |
| 1818 | 1971 | PhD | Together | 29732 | 1 | 0 | 23 | 25 | 8 | 0 | 1 | 4 |
| 1100 | 1960 | Master | Together | 41275 | 1 | 2 | 33 | 24 | 22 | 0 | 2 | 9 |
| 7873 | 1973 | PhD | Together | 63516 | 1 | 1 | 30 | 141 | 114 | 15 | 14 | 5 |
| 10609 | 1962 | PhD | Married | 42769 | 0 | 1 | 15 | 71 | 13 | 3 | 1 | 0 |
| 6950 | 1958 | Master | Married | 49572 | 1 | 1 | 25 | 35 | 16 | 0 | 1 | 1 |
| 7233 | 1972 | Graduation | Married | 69209 | 0 | 0 | 4 | 496 | 849 | 229 | 48 | 128 |
| 9481 | 1976 | Graduation | Married | 17148 | 1 | 0 | 80 | 9 | 11 | 13 | 10 | 16 |
| 7699 | 1969 | Graduation | Widow | 40590 | 1 | 1 | 30 | 154 | 50 | 6 | 11 | 37 |
| 2711 | 1976 | Master | Together | 30560 | 1 | 0 | 6 | 9 | 5 | 4 | 5 | 7 |
| 8933 | 1983 | 2n Cycle | Married | 32146 | 1 | 0 | 16 | 26 | 23 | 4 | 7 | 3 |
| 8726 | 1964 | 2n Cycle | Divorced | 41713 | 1 | 1 | 57 | 77 | 44 | 10 | 10 | 25 |
| 1515 | 1975 | Master | Together | 34176 | 0 | 1 | 9 | 11 | 7 | 4 | 2 | 2 |
| 5186 | 1955 | PhD | Married | 58482 | 0 | 1 | 59 | 576 | 115 | 19 | 7 | 7 |
| 10157 | 1965 | Graduation | Single | 59686 | 0 | 1 | 78 | 89 | 89 | 34 | 42 | 5 |
| 5667 | 1964 | PhD | Married | 60896 | 0 | 1 | 90 | 1013 | 399 | 60 | 46 | 153 |
| 902 | 1980 | Graduation | Together | 62994 | 1 | 0 | 74 | 224 | 48 | 4 | 12 | 12 |
| 977 | 1957 | Graduation | Together | 47320 | 0 | 1 | 10 | 200 | 111 | 50 | 15 | 19 |
| 7313 | 1949 | 2n Cycle | Widow | 74859 | 0 | 0 | 63 | 570 | 614 | 133 | 102 | 73 |
| 7600 | 1992 | Basic | Single | 15253 | 1 | 0 | 13 | 1 | 3 | 8 | 1 | 13 |
| 9706 | 1974 | PhD | Single | 31560 | 1 | 0 | 98 | 62 | 20 | 4 | 0 | 7 |
| 2429 | 1954 | Graduation | Divorced | 72071 | 0 | 1 | 4 | 531 | 300 | 150 | 138 | 150 |
| 3520 | 1990 | Master | Single | 91172 | 0 | 0 | 94 | 162 | 818 | 0 | 28 | 56 |
| 10394 | 1984 | Graduation | Married | 90000 | 0 | 0 | 91 | 675 | 133 | 94 | 192 | 241 |
| 4548 | 1981 | Graduation | Single | 41967 | 1 | 1 | 66 | 23 | 10 | 0 | 2 | 15 |
| 9362 | 1965 | Graduation | Single | 69263 | 0 | 1 | 14 | 492 | 32 | 13 | 5 | 21 |
| 3968 | 1970 | 2n Cycle | Divorced | 65706 | 0 | 0 | 77 | 918 | 129 | 13 | 0 | 129 |
| 4084 | 1975 | Graduation | Together | 60934 | 0 | 1 | 41 | 224 | 155 | 192 | 93 | 54 |
| 6721 | 1951 | Graduation | Married | 71965 | 0 | 1 | 21 | 572 | 286 | 50 | 38 | 248 |
| 2829 | 1955 | Graduation | Married | 65210 | 0 | 1 | 25 | 626 | 70 | 0 | 7 | 28 |
| 1772 | 1975 | PhD | Married | 79174 | 0 | 0 | 2 | 1074 | 518 | 193 | 92 | 129 |
| 1544 | 1967 | Master | Divorced | 81380 | 0 | 0 | 51 | 741 | 689 | 224 | 68 | 103 |
| 492 | 1973 | PhD | Single | 48432 | 0 | 1 | 3 | 322 | 50 | 4 | 3 | 42 |
| 4377 | 1971 | Graduation | Married | 52914 | 0 | 1 | 32 | 254 | 44 | 30 | 10 | 227 |
| 4541 | 1955 | Graduation | Together | 38946 | 0 | 1 | 84 | 116 | 82 | 6 | 6 | 41 |
| 1321 | 1974 | Graduation | Married | 26067 | 1 | 0 | 49 | 22 | 18 | 0 | 2 | 12 |
| 8858 | 1972 | PhD | Married | 44325 | 0 | 1 | 69 | 516 | 21 | 0 | 0 | 5 |
| 3266 | 1964 | Graduation | Married | 42523 | 0 | 0 | 96 | 14 | 11 | 3 | 26 | 35 |
| 11187 | 1978 | Basic | Single | 26487 | 1 | 0 | 23 | 2 | 10 | 12 | 14 | 23 |
| 8207 | 1957 | 2n Cycle | Married | 53233 | 0 | 1 | 18 | 28 | 9 | 3 | 0 | 0 |
| 9723 | 1960 | Graduation | Married | 67716 | 0 | 1 | 8 | 530 | 217 | 62 | 9 | 56 |
| 2666 | 1972 | Master | Married | 76234 | 0 | 1 | 21 | 519 | 167 | 130 | 0 | 41 |
| 5721 | 1956 | PhD | Married | 84117 | 0 | 0 | 60 | 611 | 749 | 59 | 45 | 26 |
| 10652 | 1957 | Master | Together | 65487 | 0 | 0 | 48 | 240 | 500 | 199 | 0 | 163 |
| 1646 | 1972 | Basic | Married | 25224 | 1 | 0 | 36 | 4 | 12 | 11 | 2 | 8 |
| 4418 | 1983 | Master | Single | 89616 | 0 | 0 | 36 | 671 | 655 | 145 | 111 | 15 |
| 2656 | 1971 | Graduation | Divorced | 40851 | 1 | 1 | 63 | 23 | 7 | 0 | 4 | 24 |
| 7990 | 1947 | Graduation | Married | 27469 | 0 | 0 | 2 | 9 | 2 | 3 | 2 | 0 |
| 8722 | 1957 | 2n Cycle | Married | 82347 | 0 | 0 | 38 | 556 | 845 | 202 | 133 | 63 |
| 7118 | 1957 | Graduation | Married | 73803 | 0 | 1 | 61 | 833 | 363 | 52 | 26 | 174 |
| 2980 | 1952 | Master | Single | 8820 | 1 | 1 | 52 | 12 | 13 | 4 | 2 | 4 |
| 1839 | 1974 | Graduation | Single | 43322 | 0 | 0 | 25 | 56 | 48 | 10 | 2 | 18 |
| 10722 | 1973 | Graduation | Together | 55593 | 0 | 1 | 63 | 293 | 124 | 11 | 4 | 106 |
| 2632 | 1954 | Graduation | Married | 50501 | 1 | 1 | 10 | 297 | 38 | 13 | 0 | 152 |
| 9014 | 1975 | Graduation | Married | 37085 | 1 | 1 | 65 | 39 | 16 | 2 | 0 | 3 |
| 7620 | 1990 | Basic | Single | 16185 | 1 | 0 | 71 | 5 | 16 | 21 | 8 | 45 |
| 10968 | 1969 | Graduation | Single | 57731 | 0 | 1 | 0 | 266 | 300 | 65 | 8 | 44 |
| 11133 | 1973 | PhD | Single | 48432 | 0 | 1 | 3 | 322 | 50 | 4 | 3 | 42 |
| 2736 | 1978 | Graduation | Married | 73807 | 0 | 1 | 88 | 366 | 156 | 71 | 78 | 54 |
| 1876 | 1990 | Graduation | Married | 18929 | 0 | 0 | 15 | 32 | 8 | 23 | 4 | 18 |
| 5959 | 1968 | Graduation | Single | 35893 | 1 | 1 | 80 | 158 | 23 | 0 | 0 | 18 |
| 1092 | 1980 | Graduation | Married | 61014 | 0 | 1 | 17 | 269 | 495 | 182 | 43 | 29 |
| 4333 | 1954 | Graduation | Together | 32144 | 1 | 1 | 76 | 41 | 10 | 0 | 0 | 3 |
| 3850 | 1963 | Basic | Together | 14918 | 0 | 1 | 52 | 3 | 3 | 15 | 4 | 15 |
| 6168 | 1963 | Graduation | Divorced | 45146 | 1 | 1 | 28 | 33 | 5 | 0 | 0 | 15 |
| 607 | 1955 | 2n Cycle | Divorced | 41769 | 0 | 1 | 31 | 302 | 131 | 32 | 0 | 27 |
| 10469 | 1981 | Graduation | Together | 88325 | 0 | 0 | 42 | 519 | 860 | 93 | 27 | 53 |
| 6983 | 1950 | Master | Divorced | 38054 | 1 | 1 | 24 | 23 | 17 | 2 | 1 | 0 |
| 3661 | 1995 | 2n Cycle | Single | 80617 | 0 | 0 | 42 | 594 | 631 | 72 | 55 | 32 |
| 9303 | 1976 | Graduation | Married | 5305 | 0 | 1 | 12 | 12 | 7 | 1 | 3 | 5 |
| 692 | 1954 | Graduation | Together | 36807 | 1 | 1 | 88 | 4 | 5 | 0 | 0 | 5 |
| 736 | 1983 | Graduation | Together | 28427 | 1 | 0 | 67 | 18 | 19 | 3 | 3 | 6 |
| 9589 | 1948 | PhD | Widow | 82032 | 0 | 0 | 54 | 332 | 377 | 149 | 125 | 57 |
| 4838 | 1978 | Graduation | Together | 22775 | 1 | 0 | 40 | 5 | 8 | 0 | 0 | 1 |
| 9246 | 1985 | Master | Together | 40101 | 1 | 0 | 73 | 171 | 129 | 26 | 24 | 62 |
| 6261 | 1979 | Graduation | Married | 58025 | 0 | 1 | 81 | 270 | 88 | 11 | 48 | 22 |
| 7366 | 1982 | Master | Single | 75777 | 0 | 0 | 12 | 712 | 538 | 69 | 13 | 80 |
| 10659 | 1979 | 2n Cycle | Together | 7500 | 1 | 0 | 7 | 2 | 11 | 3 | 8 | 21 |
| 1448 | 1963 | Master | Married | 33562 | 1 | 2 | 33 | 21 | 12 | 0 | 3 | 3 |
| 4286 | 1970 | PhD | Single | 57642 | 0 | 1 | 24 | 580 | 58 | 8 | 0 | 27 |
| 4749 | 1968 | Graduation | Together | 58554 | 1 | 1 | 55 | 368 | 68 | 38 | 0 | 88 |
| 4478 | 1979 | Graduation | Married | 63777 | 1 | 1 | 87 | 457 | 106 | 15 | 17 | 53 |
| 4201 | 1962 | Graduation | Single | 57967 | 0 | 1 | 39 | 229 | 137 | 4 | 0 | 91 |
| 8720 | 1978 | 2n Cycle | Together | NA | 0 | 0 | 53 | 32 | 1607 | 12 | 4 | 22 |
| 10084 | 1972 | Graduation | Married | 24434 | 2 | 0 | 9 | 3 | 8 | 20 | 0 | 17 |
| 7004 | 1984 | Graduation | Single | 11012 | 1 | 0 | 82 | 24 | 26 | 7 | 1 | 23 |
| 9817 | 1970 | Master | Single | 44802 | 0 | 0 | 71 | 853 | 143 | 13 | 10 | 20 |
| 8080 | 1986 | Graduation | Single | 26816 | 0 | 0 | 50 | 5 | 6 | 3 | 4 | 3 |
| 9432 | 1977 | Graduation | Together | 666666 | 1 | 0 | 23 | 9 | 18 | 8 | 1 | 12 |
| 8372 | 1974 | Graduation | Married | 34421 | 1 | 0 | 81 | 3 | 7 | 6 | 2 | 9 |
| 10870 | 1967 | Graduation | Married | 61223 | 0 | 1 | 46 | 709 | 182 | 42 | 118 | 247 |
| 4001 | 1946 | PhD | Together | 64014 | 2 | 1 | 56 | 406 | 30 | 0 | 0 | 8 |
| 7270 | 1981 | Graduation | Divorced | 56981 | 0 | 0 | 91 | 908 | 217 | 32 | 12 | 24 |
| 8235 | 1956 | Master | Together | 69245 | 0 | 1 | 8 | 428 | 214 | 80 | 30 | 61 |
| 9405 | 1954 | PhD | Married | 52869 | 1 | 1 | 40 | 84 | 61 | 2 | 1 | 21 |
str(df)
## 'data.frame': 2217 obs. of 13 variables:
## $ ID : int 5524 2174 4141 6182 5324 7446 965 6177 4855 5899 ...
## $ Year_Birth : int 1957 1954 1965 1984 1981 1967 1971 1985 1974 1950 ...
## $ Education : chr "Graduation" "Graduation" "Graduation" "Graduation" ...
## $ Marital_Status : chr "Single" "Single" "Together" "Together" ...
## $ Income : int 58138 46344 71613 26646 58293 62513 55635 33454 30351 5648 ...
## $ Kidhome : int 0 1 0 1 1 0 0 1 1 1 ...
## $ Teenhome : int 0 1 0 0 0 1 1 0 0 1 ...
## $ Recency : int 58 38 26 26 94 16 34 32 19 68 ...
## $ MntWines : int 635 11 426 11 173 520 235 76 14 28 ...
## $ MntMeatProducts : int 546 6 127 20 118 98 164 56 24 6 ...
## $ MntFishProducts : int 172 2 111 10 46 0 50 3 3 1 ...
## $ MntSweetProducts: int 88 1 21 3 27 42 49 1 3 1 ...
## $ MntGoldProds : int 88 6 42 5 15 14 27 23 2 13 ...
Giả sử là một cửa hàng bán lẻ, tôi muốn tìm hiểu xem tình trạng hôn nhân, độ tuổi, trình độ học vấn, thu nhập và số con trong gia đình có ảnh hưởng thế nào đến quyết mua hàng của khách hàng. Mặt hàng được quan tâm trong bài là mặt hàng rượu. Quyết định mua hàng được thể hiện qua số tiền mà khách hàng chi cho rượu trong vòng 2 năm qua.
Như vậy, biến phụ thuộc sẽ là:
Các biến độc lập là:
Marital_Status: Tình trạng hôn nhân của khách hàng
Year_Birth: Năm sinh
Income: Thu nhập hộ gia đình
Kidhome: Số con trong hộ gia đình khách hàng
Teenhome: Số lượng thanh thiếu niên trong hộ gia đình khách hàng
Bộ dữ liệu được thu thập từ trang kaggle.com có địa chỉ https://www.kaggle.com/code/yashvi/reliance-stock-prices-with-news-sentiment/input
Dữ liệu ban đầu được chia làm 2 nhóm: Nhóm dữ liệu về tin tức thu thập được và nhóm dữ liệu về giá cổ phiếu X.
Nền tảng thu thập tin tức được sử dụng trong bài là Twitter. Các tweet được thu thập từ ngày 21/10/2021 đến ngày 15/02/2022 với thẻ tìm kiếm là “#stocks”.
Phương pháp phân tích tâm lý tin tức được sử dụng trong nghiên cứu này là phương pháp đo lường tình cảm theo từ điển tâm lý Harvard IV-4 và từ điển tình cảm tài chính Loughran–McDonald. Mô hình phân tích tình cảm tin tức dựa trên từ điển được hiển thị trong Hình 1. Sau khi thu thập và xử lý dữ liệu từ các tin tức, dữ liệu đã chuyển đổi được so sánh với các từ trong từ điển được xác định trước, bao gồm các từ và cụm từ cụ thể theo miền và cường độ của chúng về mặt tình cảm.
knitr::include_graphics("C:/Users/MSII/Pictures/Saved Pictures/z4450324744830_d7eafe045785ecf2a23985e0d43ca7fe.jpg")
# Hình 1
Đây giá đóng cửa cổ phiếu và khối lượng giao dịch của cổ phiếu X trong cùng giai đoạn.(Vì tác giả nguồn dữ liệu không thể hiện mã cổ phiếu hay quốc gia mà cổ phiếu được niêm yết nên bài nghiên cứu sẽ gọi mã cổ phiếu này là X)
published_at: Ngày và giờ khi bài viết được đăng tải.
title: Tên bài viết.
sentiment: Trạng thái tình cảm trong bài tweet là tiêu cực, tích cực hay trung lập.
sentiment_score: Thang điểm tình cảm tính được thể hiện mức độ tiêu cực, tích cực hay trung lập mà bài viết thể hiện.
# Dữ liệu về tin tức
library(kableExtra)
library(knitr)
news <- read.csv("C:/Users/MSII/Downloads/reliance_news_sentiment (1).csv")
knitr::kable(news, format = "html") %>%
kable_styling(full_width = TRUE) %>%
scroll_box(width = "100%", height = "300px")
| published_at | title | sentiment | sentiment_score |
|---|---|---|---|
| 2021-10-21T14:40:39+00:00 | Exclusive: Industrialist Nikhil Merchant leads race for acquiring Reliance Naval | neutral | 0.7113357 |
| 2021-10-21T13:52:13+00:00 | India’s Reliance gets shareholders’ nod to add Aramco chairman as director | neutral | 0.8001759 |
| 2021-10-21T12:45:52+00:00 | Rogers misses quarterly revenue estimates | negative | 0.9731851 |
| 2021-10-21T12:40:35+00:00 | Exclusive: Tycoon Nikhil Merchant leads race for acquiring Reliance Naval | neutral | 0.6193712 |
| 2021-10-21T11:43:53+00:00 | BP to Open Fuel Station in India Amid Record Prices | positive | 0.9299616 |
| 2021-10-21T11:40:35+00:00 | Jio-bp’s first petrol pump set to open near Mumbai | neutral | 0.5861390 |
| 2021-10-21T10:44:35+00:00 | PetroChina : Resolutions Passed At The First Extraordinary General Meeting of 2021 And Appointment of Directors | neutral | 0.9248684 |
| 2021-10-21T10:24:13+00:00 | China Merchants Port : Interim Dividend for the Six Months Ended 30 June 2021 | neutral | 0.8988863 |
| 2021-10-21T09:24:12+00:00 | Emperor International : Profit Alert | neutral | 0.8935081 |
| 2021-10-21T08:46:00+00:00 | Reliance Q2FY22 preview: Retail growth to drive earnings, EBITDA may rise 25%; RIL stock eyes Rs 3000 | positive | 0.9538223 |
| 2021-10-22T04:14:21+00:00 | Rupee And Bond Update - October 22, 2021: Reliance Securities | neutral | 0.9458364 |
| 2021-10-22T04:05:37+00:00 | Stocks in news: RIL, TVS Motor, Macrotech Developers, YES Bank and more | neutral | 0.9438842 |
| 2021-10-22T00:28:41+00:00 | Youthful Thunder hope to build on effort vs. rebuilding Rockets | negative | 0.9155107 |
| 2021-10-24T10:05:09+00:00 | Reliance's green energy biz taking shape, likely to contribute 10% of EBITDA in 5 years | positive | 0.7579034 |
| 2021-10-24T07:05:33+00:00 | Mcap of five of top-10 most valued firms down by over Rs 1.42 lakh cr; HUL, RIL most hit | negative | 0.9711887 |
| 2021-10-25T05:02:30+00:00 | Soaring energy prices put spotlight on Europe’s drafty buildings | neutral | 0.5041358 |
| 2021-10-25T03:50:37+00:00 | Stocks in news: Reliance Industries, ICICI Bank, Tech Mahindra, MCX and more | negative | 0.9698534 |
| 2021-10-25T03:48:44+00:00 | Rupee And Bond Update - October 25, 2021: Reliance Securities | neutral | 0.9464464 |
| 2021-10-25T03:11:41+00:00 | Reliance Industries Q2 Review - Accelerated Growth Ambition To Drive Performance: ICICI Direct | positive | 0.5807973 |
| 2021-10-25T03:08:19+00:00 | Reliance Industries Q2 Review - Business Momentum Gathers Speed: Prabhudas Lilladher | neutral | 0.9266191 |
| 2021-10-25T03:06:21+00:00 | Stocks in Focus on October 25: Reliance Industries, Tata Consumer Products, Asian Paints, Steel Stocks to NBFCs and more | negative | 0.9749091 |
| 2021-10-26T21:35:58+00:00 | New Zealand insurance stress test highlights reliance on reinsurance | neutral | 0.8377265 |
| 2021-10-26T16:02:56+00:00 | Draftkings Dispute : Nominated Post | neutral | 0.8982570 |
| 2021-10-26T15:40:42+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Receives Average Rating of “Buy” from Analysts | neutral | 0.8936191 |
| 2021-10-26T15:26:20+00:00 | CONNECTED TRANSACTIONS-ENTERING INTO THE EQUITY TRANSFER AGREEMENTS REGARDING THE ACQUISITION OF INTEREST IN A SUBSIDIARY(H SHARES) | neutral | 0.9371824 |
| 2021-10-26T14:46:21+00:00 | ANNOUNCEMENT OF THE OPERATING DATA FROM JANUARY TO SEPTEMBER OF 2021 | neutral | 0.8965451 |
| 2021-10-26T14:16:24+00:00 | OVERSEAS REGULATORY ANNOUNCEMENT - ANNOUNCEMENT ON RESOLUTIONS OF THE BOARD OF DIRECTORS | neutral | 0.9038736 |
| 2021-10-26T14:16:24+00:00 | OVERSEAS REGULATORY ANNOUNCEMENT - ANNOUNCEMENT ON RESOLUTIONS OF THE FORTY-THIRD MEETING OF THE NINTH SESSION OF SUPERVISORY COMMITTEE | neutral | 0.9142609 |
| 2021-10-26T14:05:33+00:00 | From HCL To Reliance: Indian Companies Among Forbes’ World’s Best Employers In 2021 | neutral | 0.8871062 |
| 2021-10-26T13:28:52+00:00 | Nykaa IPO - Strong Growth Potential: Reliance Securities | positive | 0.6404903 |
| 2021-10-26T13:24:46+00:00 | IOB observes Vigilance Awareness Week 2021 | neutral | 0.9253038 |
| 2021-10-27T17:48:35+00:00 | ‘Record Date’ for the purpose of Second and Final Call on 42,26,26,894 partly paid-up equity shares of face value of Rs.10 each issued and allotted on rights basis | neutral | 0.9419448 |
| 2021-10-27T16:55:09+00:00 | Future Retail asks Delhi court to quash Singapore arbitration panel's block on asset sale | negative | 0.8922803 |
| 2021-10-27T16:46:01+00:00 | Citing Climate, New York Nixes Two Natural Gas Power Plant Plans | negative | 0.9167885 |
| 2021-10-27T14:55:38+00:00 | Iconix Lifestyle India acquires IP rights of British brand Lee Cooper for India | positive | 0.8786332 |
| 2021-10-27T14:28:32+00:00 | ANNOUNCEMENT OF ANNUAL RESULTS FOR THE YEAR ENDED 31 JULY 2021 | neutral | 0.8973622 |
| 2021-10-27T14:01:03+00:00 | ZetrOZ sam® Soft Tissue Healing Devices Help Veterans With Post-Op Recovery and Long-Term Pain Management | neutral | 0.5474712 |
| 2021-10-27T13:24:45+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Shares Sold by Kennedy Capital Management Inc. | neutral | 0.9431940 |
| 2021-10-27T12:44:23+00:00 | Climate Emergency Includes the Threat of ‘Nuclear Winter’ | neutral | 0.6403924 |
| 2021-10-27T12:38:22+00:00 | How to boost customer experience with omnichannel delivery notifications | neutral | 0.5264540 |
| 2021-10-27T12:38:16+00:00 | INSIDE INFORMATION - THIRD QUARTERLY REPORT OF 202110-27 | neutral | 0.8998573 |
| 2021-10-28T21:49:05+00:00 | Reliance Steel & Aluminum’s (RS) CEO Jim Hoffman on Q3 2021 Results - Earnings Call Transcript | neutral | 0.7835553 |
| 2021-10-28T17:00:53+00:00 | Barbados’ energy goals slightly behind target | positive | 0.6743331 |
| 2021-10-28T16:30:53+00:00 | Amundi Purchases Shares of 647,738 Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9372642 |
| 2021-10-28T16:23:41+00:00 | Appointment of vice chairman and redesignation of non-executive director, etc - Form 6-K | neutral | 0.9034682 |
| 2021-10-28T15:49:50+00:00 | Qalara helping Odisha and India’s artisanal products reach new global consumers | positive | 0.8265760 |
| 2021-10-28T15:09:01+00:00 | Reliance Steel & Aluminum (NYSE:RS) Updates Q4 2021 Earnings Guidance | neutral | 0.8430710 |
| 2021-10-28T14:45:29+00:00 | Robinhood’s new earnings report raises concerns about the company’s reliance on crypto trading | negative | 0.9721140 |
| 2021-10-28T14:34:37+00:00 | How much more are we paying for homes that offer cleaner energy? | neutral | 0.9089597 |
| 2021-10-28T14:26:18+00:00 | Odisha Electricity Regulatory Commission directs Reliance Infrastructure Ltd to pay the outstanding dues amounting to Rs 4234-crore to Gridco | neutral | 0.5042672 |
| 2021-10-28T14:13:34+00:00 | General Announcement::PARTIAL REPURCHASE AND CANCELLATION OF SENIOR NOTES | neutral | 0.6207175 |
| 2021-10-29T21:33:56+00:00 | Japan looks to renewables, role of nuclear power elusive | neutral | 0.8818359 |
| 2021-10-29T20:44:01+00:00 | Jio’s Android phone aimed at making smartphones accessible to more Indians | neutral | 0.5973417 |
| 2021-10-29T19:00:57+00:00 | Clouds gather as delegates descend on Glasgow for COP26 summit | negative | 0.8035924 |
| 2021-10-29T18:44:33+00:00 | UK’s Johnson urges China’s Xi to move faster on climate goals | neutral | 0.7690824 |
| 2021-10-29T17:44:15+00:00 | Reliance’s JioPhone Next Goes On Sale On Diwali For Rs 6,499 | neutral | 0.9268153 |
| 2021-10-29T17:22:41+00:00 | Reliance Worldwide Co. Limited (OTCMKTS:RLLWF) Short Interest Up 133.1% in October | positive | 0.9478596 |
| 2021-10-29T14:45:25+00:00 | People in U.S. far less active in 2021 than in pre-Industrial Revolution 1820, study says | negative | 0.6048744 |
| 2021-10-29T14:15:32+00:00 | Reliance JioPhone Next Prices Revealed, Starts At ₹6,499: All You Need To Know | neutral | 0.9426031 |
| 2021-10-29T14:07:37+00:00 | Blasting the Zombie Out of Water-Saving Technology | neutral | 0.8816081 |
| 2021-10-29T13:32:57+00:00 | State Street Corp Grows Stake in Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.7456079 |
| 2021-10-30T15:00:52+00:00 | SonyLIV pays a tribute to Dr Homi Bhabha on his 112th birth anniversary – reveals an inspiring scene from Rocket Boys | neutral | 0.8750165 |
| 2021-10-30T14:43:16+00:00 | Putnam Investments LLC Decreases Stake in Reliance Steel & Aluminum Co. (NYSE:RS) | negative | 0.8798079 |
| 2021-10-30T10:06:17+00:00 | Planning to buy JioPhone Next? Check out these phones by Xiaomi, Realme before you buy | neutral | 0.9238053 |
| 2021-10-30T07:51:18+00:00 | What is real price of JioPhone Next: Is it Rs 1999 or Rs 6499, or do you pay more | neutral | 0.9318437 |
| 2021-10-31T14:23:56+00:00 | Kwasi Kwarteng warns UK must end reliance on importing energy | neutral | 0.7826238 |
| 2021-10-31T14:06:47+00:00 | More Britons exposed to financial shock than before Covid | negative | 0.9614009 |
| 2021-10-31T01:00:40+00:00 | Nigeria can still be rescued, depending on who takes over in 2023 —Adeniran | neutral | 0.9201738 |
| 2021-11-01T18:27:48+00:00 | Reliance announces opening of Jio Drive-in theatre, new-to-market F&B concepts & Mumbai’s newest members’ club | positive | 0.7501265 |
| 2021-11-01T17:20:00+00:00 | China to make protein for livestock from carbon monoxide | positive | 0.9012587 |
| 2021-11-01T15:37:05+00:00 | • Proposed Amendments to the Terms and Conditions of Convertible Bonds | neutral | 0.9292014 |
| 2021-11-01T14:37:20+00:00 | CHANGE OF NON-EXECUTIVE DIRECTOR AND CHANGES IN THE COMPOSITION OF BOARD COMMITTEES | neutral | 0.8410014 |
| 2021-11-01T11:00:28+00:00 | Cuba-Vietnam: on the road to vaccine self-reliance | positive | 0.7079877 |
| 2021-11-01T10:07:07+00:00 | Third Quarterly Report of 20212021-11-01 | neutral | 0.8899003 |
| 2021-11-01T09:47:04+00:00 | Discloseable Transaction In Relation To The Provision Of Loan Facilities To An Independent Third Party | neutral | 0.9298016 |
| 2021-11-01T09:30:58+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Shares Acquired by LPL Financial LLC | neutral | 0.9178224 |
| 2021-11-01T08:36:03+00:00 | China to make protein for livestock from carbon monoxide | positive | 0.9172623 |
| 2021-11-01T06:55:30+00:00 | COP26 Aims To Shut Out Coal For Good, But India Is Building 28 New Coal-Fired Power Stations | neutral | 0.8437846 |
| 2021-11-02T18:54:25+00:00 | Canada’s supply chains need overhaul amid ongoing shortages, critics say | negative | 0.9493208 |
| 2021-11-02T18:53:44+00:00 | As trade bottlenecks weigh on economy, Liberals urged to help reshape supply chains | positive | 0.6723868 |
| 2021-11-02T16:18:54+00:00 | Reliance Worldwide Co. Limited (ASX:RWC) Insider Christine Bartlett Buys 10,000 Shares | neutral | 0.9350380 |
| 2021-11-02T15:10:13+00:00 | POLL RESULTS OF THE EXTRAORDINARY GENERAL MEETING AND THE CLASS MEETING HELD ON 2 NOVEMBER 2021 AND THE ELECTION OF THE CHAIRMAN OF THE BOARD OF SUPERVISORS (in PDF) | neutral | 0.9331527 |
| 2021-11-02T14:43:55+00:00 | Track And Trace: 4 Reasons Companies Hesitate To Adopt Reusable Packaging -and A Way To Solve Them | neutral | 0.7683284 |
| 2021-11-02T13:16:51+00:00 | AQR Capital Management LLC Grows Stake in Reliance Steel & Aluminum Co. (NYSE:RS) | positive | 0.9451656 |
| 2021-11-02T11:50:56+00:00 | Seaport Res Ptn Analysts Raise Earnings Estimates for Reliance Steel & Aluminum Co. (NYSE:RS) | positive | 0.9261823 |
| 2021-11-02T11:50:12+00:00 | Announcements and Notices - [Date of Board Meeting] | neutral | 0.8848925 |
| 2021-11-02T11:16:47+00:00 | Charles Schwab Investment Management Inc. Boosts Position in Reliance Steel & Aluminum Co. (NYSE:RS) | positive | 0.9342061 |
| 2021-11-02T10:36:28+00:00 | Indian shares end lower as losses in metals, Reliance weigh | negative | 0.9737453 |
| 2021-11-03T23:20:41+00:00 | Reliance Steel & Aluminum (NYSE:RS) Raised to Buy at The Goldman Sachs Group | positive | 0.8202295 |
| 2021-11-03T22:04:11+00:00 | Caterpillar Inc. : Files Form 10-Q FQE 30 -61- | neutral | 0.9496992 |
| 2021-11-03T20:31:04+00:00 | Cooper Standard Reports Third Quarter Results -3- | neutral | 0.9448679 |
| 2021-11-03T18:45:31+00:00 | Over-reliance on gardaí in mental health crises sees children ‘criminalised’ - report | negative | 0.7705254 |
| 2021-11-03T17:28:03+00:00 | Virtual Event on November 9: How Backup Power Solutions Ensure Reliability and Resilience in the Nation’s Electric Grid | neutral | 0.8073286 |
| 2021-11-03T15:54:44+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Holdings Lifted by Paloma Partners Management Co | positive | 0.9519595 |
| 2021-11-03T12:46:49+00:00 | • Proposed Amendments to the Terms and Conditions of Convertible Bonds Execution of the Fifth Supplemental Trust Deed and Clarification Announcement | neutral | 0.9359572 |
| 2021-11-03T12:35:37+00:00 | Reliance launches Jio Drive-In, India's first rooftop theatre with PVR | neutral | 0.7941762 |
| 2021-11-03T11:24:41+00:00 | Public Employees Retirement System of Ohio Purchases 3,579 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9356183 |
| 2021-11-03T10:54:29+00:00 |
|
neutral | 0.9381807 |
| 2021-11-04T18:10:43+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Shares Acquired by Prudential Financial Inc. | neutral | 0.9389331 |
| 2021-11-04T16:57:30+00:00 | UK gears up to produce rare earth magnets, cut reliance on China | positive | 0.8529100 |
| 2021-11-04T16:48:49+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Shares Bought by Prudential Financial Inc. | positive | 0.8707132 |
| 2021-11-04T13:44:51+00:00 | Reliance Steel & Aluminum (NYSE:RS) Releases Q4 2021 Earnings Guidance | neutral | 0.8474143 |
| 2021-11-04T12:36:49+00:00 | California State Teachers Retirement System Sells 2,353 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9410847 |
| 2021-11-04T10:20:49+00:00 | Schonfeld Strategic Advisors LLC Acquires New Position in Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.8851252 |
| 2021-11-04T10:16:03+00:00 | Coal-powered Balkan countries pollute more than whole of EU | neutral | 0.8029261 |
| 2021-11-04T09:32:14+00:00 | 04 Nov 2021 - Unaudited Operating Statistics – Third Quarter of 2021 | neutral | 0.9093255 |
| 2021-11-04T09:12:35+00:00 | ADJUSTMENT TO THE EXERCISE PRICE OF THE OUTSTANDING SHARE OPTIONS | neutral | 0.8851497 |
| 2021-11-05T17:41:05+00:00 | Man Group plc Has $24.68 Million Stake in Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9477913 |
| 2021-11-05T16:27:44+00:00 | Soaring Oil Prices Could Push for Clean Energy Faster | positive | 0.7224380 |
| 2021-11-05T15:42:23+00:00 | Four takeaways from the 2021 school election results in Minnesota | negative | 0.9344626 |
| 2021-11-05T15:28:18+00:00 | Third Quarterly Results Announcement For The Nine Months Ended 30 September 2021 | neutral | 0.8744890 |
| 2021-11-05T14:48:08+00:00 | GRANT OF AWARDS UNDER THE SHARE INCENTIVE PLAN | neutral | 0.9277928 |
| 2021-11-05T13:47:52+00:00 | Google and Reliance Jio $87 Android Pragati OS JioPhone Next might now win the search giant its ‘Next Billion’ users? | neutral | 0.9077656 |
| 2021-11-05T11:58:09+00:00 | REPURCHASE OF SENIOR NOTES | neutral | 0.8866500 |
| 2021-11-05T10:38:41+00:00 | Point72 Asset Management L.P. Acquires New Position in Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.6230031 |
| 2021-11-05T10:27:49+00:00 | Perficient Announces Pricing of $330 Million Private Offering of 0.125% Convertible Senior Notes - Form 8-K | neutral | 0.9058694 |
| 2021-11-05T09:43:05+00:00 | China’s Shenzhen urges lenders to reduce reliance on property loans | positive | 0.6178982 |
| 2021-11-06T15:12:18+00:00 | Could hydrogen be a better choice for green automobiles? | neutral | 0.8810306 |
| 2021-11-06T15:04:41+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Expected to Announce Earnings of $4.98 Per Share | neutral | 0.6019110 |
| 2021-11-06T11:24:42+00:00 | Squarepoint Ops LLC Invests $2.34 Million in Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9078632 |
| 2021-11-06T07:17:02+00:00 | China’s Shenzhen urges lenders to reduce reliance on property loans | neutral | 0.4720455 |
| 2021-11-06T07:16:59+00:00 | China’s Shenzhen urges lenders to reduce reliance on property loans | neutral | 0.7668890 |
| 2021-11-06T07:12:00+00:00 | Mukesh Ambani not moving to London or anywhere else, says Reliance after buying James Bond mansion for Rs 600 crore | neutral | 0.8407870 |
| 2021-11-06T07:10:19+00:00 | Stoke Park Deal: Reliance Denies Report Of Ambani Family Moving To London | neutral | 0.8908527 |
| 2021-11-06T07:01:18+00:00 | RIL says Ambanis are not moving to London after country club purchase | Oneindia News | neutral | 0.8612419 |
| 2021-11-07T17:22:42+00:00 | Bornite Capital Management LP Invests $15.09 Million in Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9115643 |
| 2021-11-07T13:11:03+00:00 | UBS Asset Management Americas Inc. Trims Position in Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.5987145 |
| 2021-11-07T12:46:00+00:00 | Experts cast doubts on EU’s bid to boost domestic chip production | neutral | 0.5091735 |
| 2021-11-07T07:20:06+00:00 | Urea crisis not over; battery, chip supply chains at mercy of China | negative | 0.9644859 |
| 2021-11-08T17:23:12+00:00 | Ambani’s Reliance Ends Decade-Long Shale Venture With Asset Sale | neutral | 0.9425609 |
| 2021-11-08T16:28:14+00:00 | Youths urged to acquire entrepreneurial skills for self-reliance | positive | 0.6037973 |
| 2021-11-08T16:05:41+00:00 | Reliance Exits North America Shale Gas Business | neutral | 0.9227876 |
| 2021-11-08T15:48:13+00:00 | General Announcement::VOLUNTARY ANNOUNCEMENT REPURCHASE AND RESALE OF NON-PUBLIC DOMESTIC CORPORATE BONDS DUE 2023 | neutral | 0.9164729 |
| 2021-11-08T15:44:54+00:00 | Reliance Eagleford Upstream Holding Lp Signs Agreement For The Sale Of Its Assets In The Eagleford Shale Play In Texas USA | positive | 0.8219506 |
| 2021-11-08T15:39:28+00:00 | Climate benefits from modest dips in oil demand likely underestimated | neutral | 0.7448395 |
| 2021-11-08T14:52:57+00:00 | MetLife Investment Management LLC Sells 2,303 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9428012 |
| 2021-11-08T14:28:05+00:00 | Indian agency seeks documents from Future on disputed Amazon deal | negative | 0.7485465 |
| 2021-11-08T14:00:42+00:00 | Future Retail Seeks To Defer Shareholder Meet For Reliance Deal | neutral | 0.9135437 |
| 2021-11-08T13:12:55+00:00 | Future-Amazon case: FRL moves SC to seek stay on Emergency Arbitrator order | neutral | 0.5344794 |
| 2021-11-09T15:09:04+00:00 | Reliance Nippon Life Insurance Launches ‘Nishchit Samrudhi’ plan, A multi benefit, guaranteed savings plus protection plan | positive | 0.7900017 |
| 2021-11-09T15:05:22+00:00 | LIST OF DIRECTORS AND THEIR ROLES AND FUNCTION (H SHARES) | neutral | 0.9056331 |
| 2021-11-09T15:05:22+00:00 | VOLUNTARY ANNOUNCEMENT-ENTERING INTO THE EQUITY TRANSFER AGREEMENT (H SHARES) | neutral | 0.9104695 |
| 2021-11-09T15:05:21+00:00 |
|
neutral | 0.7305792 |
| 2021-11-09T14:15:52+00:00 | PARTIAL REPURCHASE AND CANCELLATION OF THE 2022 BONDS | neutral | 0.7942429 |
| 2021-11-09T13:19:03+00:00 | Latent View Analytics IPO - Niche Presence With Robust Opportunity: Reliance Securities | neutral | 0.8539038 |
| 2021-11-09T07:13:30+00:00 | India’s RIL exits North America shale gas business | neutral | 0.5613968 |
| 2021-11-09T07:13:19+00:00 | Balancing technology and personal interactions | neutral | 0.8752072 |
| 2021-11-09T07:00:00+00:00 | Euronext to ditch London Stock Exchange by 2024 | neutral | 0.8511690 |
| 2021-11-09T04:26:00+00:00 | Work That Speaks | Ad Reviews | 1 To 8 November 2021 | neutral | 0.8803677 |
| 2021-11-10T23:54:06+00:00 | Allow Stabilisation Fund to grow | positive | 0.8747805 |
| 2021-11-10T18:09:25+00:00 | Investor Presentation - Q2, FY2022 | neutral | 0.9444965 |
| 2021-11-10T16:26:52+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Shares Bought by Metropolitan Life Insurance Co NY | positive | 0.9334640 |
| 2021-11-10T15:14:45+00:00 | Metropolitan Life Insurance Co NY Acquires 12,020 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9068854 |
| 2021-11-10T14:39:20+00:00 | BofA Securities 2021 India Conference | neutral | 0.9415870 |
| 2021-11-10T13:31:04+00:00 | Reliance Global Group Reports 54% Increase in Revenue for the Third Quarter of 2021 | neutral | 0.5363040 |
| 2021-11-10T09:25:19+00:00 | 10 Nov 2021 - Change in Director’s Information | neutral | 0.8574550 |
| 2021-11-10T09:07:11+00:00 | Twitter bulks up subscription strategy with US launch and ad-free news | neutral | 0.5636632 |
| 2021-11-10T06:30:04+00:00 | PRESS RELEASE : SYNLAB delivers strong 9M 2021 -3- | neutral | 0.8578941 |
| 2021-11-10T00:34:53+00:00 | COAS lauds HIT efforts to attain self-reliance | positive | 0.5887579 |
| 2021-11-11T14:23:09+00:00 | Telecom Department allots license and spectrum to Vodafone Idea Limited and Reliance Jio Infocomm for 5G testing in Gujarat | neutral | 0.9413224 |
| 2021-11-11T13:05:00+00:00 | PM’s reliance on market forces hand of voters | neutral | 0.8582755 |
| 2021-11-11T10:47:13+00:00 | Appointment of Executive Vice President2021-11-11 | neutral | 0.9094567 |
| 2021-11-11T10:47:13+00:00 | ANNOUNCEMENT ON THE POLL RESULTS OF THE 2021 THIRD EXTRAORDINARY GENERAL MEETING2021-11-11 | neutral | 0.9132425 |
| 2021-11-11T10:37:31+00:00 | NOTICE OF EXTRAORDINARY GENERAL MEETING | neutral | 0.8938591 |
| 2021-11-11T09:07:51+00:00 | Announcement DATE OF BOARD MEETING | neutral | 0.8906184 |
| 2021-11-11T07:35:45+00:00 | PIAC tells government to allow Stabilisation Fund to grow | positive | 0.6642078 |
| 2021-11-11T07:04:53+00:00 | Why Analysts Expect Reliance Jio To Cut JioPhone Next Smartphone Price | negative | 0.8965878 |
| 2021-11-11T03:40:29+00:00 | Rupee And Bond Update - November 11, 2021: Reliance Securities | neutral | 0.9463471 |
| 2021-12-02T17:16:42+00:00 | Short Interest in Reliance Steel & Aluminum Co. (NYSE:RS) Increases By 34.5% | positive | 0.9339867 |
| 2021-12-02T16:03:30+00:00 | RBI initiates insolvency proceedings against Reliance Capital at NCLT, Mumbai | neutral | 0.9058504 |
| 2021-12-02T15:44:07+00:00 | PVR partners with Kabir Khan and Reliance Entertainment for the exclusive release of ’83 @ PVR Promo | positive | 0.8888870 |
| 2021-12-02T14:31:29+00:00 | General Announcement::Additional Information to the Interim Results For the Six Months Ended 30 September 2021 | neutral | 0.9117289 |
| 2021-12-02T14:11:22+00:00 | PROS : Four Ways Businesses Can Use Artificial Intelligence to Triumph in 2022 | negative | 0.9531888 |
| 2021-12-02T14:10:09+00:00 | RBI files application to initiate insolvency proceedings against Reliance Capital | neutral | 0.7034365 |
| 2021-12-02T12:54:42+00:00 | Nisa Investment Advisors LLC Has $10.04 Million Position in Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9425029 |
| 2021-12-02T12:26:41+00:00 | Reliance Power Defaults On Interest Payment To Banks | neutral | 0.5561255 |
| 2021-12-02T11:21:17+00:00 | NetEase : Announcement – Proposed Spin-off and Separate Listing of Cloud Village Inc. on the Main Board of The Stock Exchange of Hong Kong Limited – Listing of Cloud Village Inc. and Commencement of Dealings of Cloud Village Inc. Shares - Form 6-K | neutral | 0.9191430 |
| 2021-12-02T10:53:32+00:00 | Anand Rathi Wealth IPO - Healthy Prospects; Valuations Look Pricey: Reliance Securities | positive | 0.5366589 |
| 2021-12-03T18:24:42+00:00 | Deroy & Devereaux Private Investment Counsel Inc. Sells 1,578 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9191665 |
| 2021-12-03T16:42:00+00:00 | Amazon Charges Sellers Fees That Are High Enough To Offset Losses from Prime, a New Report Says | neutral | 0.5695376 |
| 2021-12-03T14:35:37+00:00 | Mukesh Ambani ‘Believes’ In Blockchain Tech, Bullish On Cryptocurrencies | positive | 0.8485614 |
| 2021-12-03T13:41:22+00:00 | InFinity Forum: Q&A session with Mukesh Ambani, CMD, Reliance Industries Limited | neutral | 0.5694215 |
| 2021-12-03T13:12:11+00:00 | Emperor International : US$250,000,000 4.50% Notes Due September 2023 - Purchase and Cancellation of Part of the Notes | neutral | 0.8626110 |
| 2021-12-03T13:02:18+00:00 | General Announcement::INSIDE INFORMATION | neutral | 0.9019194 |
| 2021-12-03T12:50:47+00:00 | Venturi Wealth Management LLC Sells 1,025 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9419594 |
| 2021-12-03T11:42:42+00:00 | CENTRAL TRUST Co Acquires 896 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.8589524 |
| 2021-12-03T11:11:43+00:00 | Macy’s reliance on stores for e-commerce weighs on mulled split | neutral | 0.7937030 |
| 2021-12-03T11:02:08+00:00 | Post 5G rollout, India to have most advanced digital infra: Mukesh Ambani | positive | 0.8449999 |
| 2021-12-04T10:42:02+00:00 | Century International : Change of Company’s Website Address | neutral | 0.8940095 |
| 2021-12-04T09:52:45+00:00 | Jio starts offering up to 20% cashback on select prepaid plans: Full list, details | neutral | 0.8666395 |
| 2021-12-04T06:47:12+00:00 | Nifty IT, S&P BSE SME IPO top gainers on NSE, BSE this week | negative | 0.9709340 |
| 2021-12-05T13:56:42+00:00 | Copeland Capital Management LLC Purchases 3,766 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | positive | 0.9100880 |
| 2021-12-05T13:15:37+00:00 | Delhi HC to hear on Dec 6 Anil Ambani Group firm's plea against DMRC over arbitral award | neutral | 0.8326016 |
| 2021-12-05T12:12:01+00:00 | General Announcement::UPDATE ON 10.5% SENIOR NOTES DUE 2021 | neutral | 0.8989761 |
| 2021-12-05T09:08:06+00:00 | TRENDS, announced the launch of its new store in Gunupur town of Rayagada district in Odisha | positive | 0.7989182 |
| 2021-12-05T08:05:36+00:00 | Seven of top-10 most valued cos add over Rs 1.29 lakh cr in m-cap; TCS lead gainer | neutral | 0.6293450 |
| 2021-12-05T07:55:29+00:00 | Indian salesmen threaten supply disruptions in protest against Reliance | negative | 0.9281332 |
| 2021-12-05T07:51:56+00:00 | Indian salesmen threaten supply disruptions in protest against Reliance | negative | 0.9736478 |
| 2021-12-05T06:10:37+00:00 | Indian salesmen threaten supply disruptions in protest against Reliance Industries | negative | 0.9620722 |
| 2021-12-05T05:18:25+00:00 | Indian salesmen threaten supply disruptions in protest against Reliance | negative | 0.9347039 |
| 2021-12-05T05:11:18+00:00 | Indian salesmen threaten supply disruptions in protest against Reliance | negative | 0.9736478 |
| 2021-12-06T22:55:20+00:00 | Ontario auditor general raises concerns about colleges’ reliance on international students | negative | 0.9346535 |
| 2021-12-06T21:22:23+00:00 | Shimao : Placing of Existing Shares and Top-up Subscription of New Shares under General Mandate | neutral | 0.9324118 |
| 2021-12-06T17:13:42+00:00 | Technology: A step forward or a huge mistake? | negative | 0.9241275 |
| 2021-12-06T13:26:59+00:00 | Reliance Capital’s Insolvency: NCLT Admits RBI’s Application | neutral | 0.9196051 |
| 2021-12-06T12:17:28+00:00 | NCLT allows RBI’s plea for bankruptcy proceedings against Reliance Capital | neutral | 0.9130100 |
| 2021-12-06T12:10:10+00:00 | NCLT admits RBI plea to initiate insolvency proceedings against Reliance Capital | negative | 0.9256254 |
| 2021-12-06T11:02:26+00:00 | Silk Road Logistics : Announcements and Notices - APPLICATION FOR A REVIEW OF THE DECISION OF THE STOCK EXCHANGE ON LISTING RULE 13.24 | neutral | 0.9085165 |
| 2021-12-06T09:30:38+00:00 | DMRC says it will pay Rs 1,000 cr to Reliance Infra's arm in 48 hrs | negative | 0.5756606 |
| 2021-12-06T09:13:05+00:00 | Data centers could cause serious environmental damage — if we don’t regulate them now | neutral | 0.8609204 |
| 2021-12-06T08:25:38+00:00 | Reliance Capital supports RBI application of referring RCAP to NCLT | positive | 0.7906342 |
| 2021-12-07T17:17:53+00:00 | Canadian banks’ outsized reliance on mortgages could slow margin recovery | negative | 0.9231219 |
| 2021-12-07T14:05:41+00:00 | RBI retains Advisory Committee of Reliance Capital | neutral | 0.8473612 |
| 2021-12-07T13:22:13+00:00 | Shanghai Fosun Pharmaceutical : POLL RESULTS OF THE RESOLUTIONS PROPOSED AT THE 2021 THIRD EXTRAORDINARY GENERAL MEETING HELD ON TUESDAY, 7 DECEMBER 2021 AND ELECTION OF EXECUTIVE DIRECTORS(H SHARES) | neutral | 0.9256444 |
| 2021-12-07T12:32:12+00:00 | Reserve Bank of India retains the Advisory Committee of Reliance Capital Ltd | neutral | 0.8925321 |
| 2021-12-07T12:25:39+00:00 | Reliance Industries, Abu Dhabi chemical company form $2-bn production JV | neutral | 0.7524577 |
| 2021-12-07T11:29:20+00:00 | Abu Dhabi chemical company, India’s Reliance form $2 billion production JV | positive | 0.8232016 |
| 2021-12-07T11:18:23+00:00 | Abu Dhabi chemical company, India’s Reliance form $2 bln production JV | positive | 0.7222205 |
| 2021-12-07T11:02:08+00:00 | TA’ZIZ and Reliance Launch Strategic Joint Venture for $2 Billion Chemicals Projects in Ruwais | positive | 0.8034063 |
| 2021-12-07T00:20:22+00:00 | ‘A parental responsibility’: Ireland needs an ombudsman for the future | neutral | 0.8442011 |
| 2021-12-08T20:38:30+00:00 | Tribes in 3 States to Link 120 Electric Charging Stations | positive | 0.6410875 |
| 2021-12-08T18:10:41+00:00 | Jio-bp and Mahindra Group sign MoU for EV and low-carbon solutions | positive | 0.6955042 |
| 2021-12-08T16:42:10+00:00 | Reliance Industries : Analyst Meet – Goldman Sachs CIO Tour | neutral | 0.9373189 |
| 2021-12-08T15:42:05+00:00 | RateGain Travel Tech IPO - Riding The Technology And Travel Wave; Valuations At Discount: Reliance Securities | neutral | 0.9431424 |
| 2021-12-08T15:36:47+00:00 | Rupee And Bond Update - December 08, 2021: Reliance Securities | neutral | 0.9473620 |
| 2021-12-08T11:15:09+00:00 | Shriram Properties IPO - A Play On Southern Realty Theme; Healthy Land Bank Value: Reliance Securities | neutral | 0.6423789 |
| 2021-12-08T10:52:06+00:00 | BExcellent : POLL RESULTS OF THE ANNUAL GENERAL MEETING HELD ON 8 DECEMBER 2021 | neutral | 0.9168718 |
| 2021-12-08T10:48:17+00:00 | Mahindra Group ties up with Jio-BP for EV products | positive | 0.8512470 |
| 2021-12-08T10:42:05+00:00 | China Aircraft Leasing : NOTICE OF EXTRAORDINARY GENERAL MEETING | neutral | 0.9043754 |
| 2021-12-08T09:32:24+00:00 | Sino Ocean : Unaudited Operating Statistics for November 2021 | neutral | 0.8955680 |
| 2021-12-09T14:22:35+00:00 | Shanghai Fosun Pharmaceutical : CONNECTED TRANSACTION - ENTERING INTO THE SHARE TRANSFER AGREEMENT | neutral | 0.9221439 |
| 2021-12-09T13:22:12+00:00 | Shanghai Fosun Pharmaceutical : CONNECTED TRANSACTION - ENTERING INTO THE EQUITY TRANSFER AGREEMENT | neutral | 0.9159092 |
| 2021-12-09T13:22:12+00:00 | Shanghai Fosun Pharmaceutical : CONNECTED TRANSACTION - CAPITAL REDUCTION OF TIANJIN XINGYAO | neutral | 0.8800654 |
| 2021-12-09T11:40:42+00:00 | Robeco Institutional Asset Management B.V. Sells 18,318 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | negative | 0.9520180 |
| 2021-12-09T11:12:24+00:00 | Xinhua Winshare Publishing and Media : Renewal Of Various Continuing Connected Transactions | neutral | 0.9121981 |
| 2021-12-09T09:52:09+00:00 | China Aircraft Leasing : U.S.$300,000,000 4.70% FIVE-YEAR GUARANTEED BONDS DUE 2022 - FURTHER PARTIAL REPURCHASE OF THE 2022 BONDS | neutral | 0.9339868 |
| 2021-12-09T09:39:00+00:00 | RIL stock may gain 80%: ‘Buy’ Reliance shares, new energy a multi-decade growth engine, says Goldman Sachs | positive | 0.9409625 |
| 2021-12-09T07:35:37+00:00 | Share Market Updates: Sensex gains over 100 points, Nifty holds 17,500; Vodafone Idea jumps 15% | positive | 0.9387774 |
| 2021-12-09T06:22:07+00:00 | General Announcement::TRADING HALT | neutral | 0.7828016 |
| 2021-12-09T06:22:07+00:00 | General Announcement::UNAUDITED OPERATING FIGURES FOR THE ELEVEN MONTHS ENDED 30 NOVEMBER 2021 | neutral | 0.8822236 |
| 2021-12-10T22:36:10+00:00 | Microvast : Statement Regarding 8-K Filing on Former SPAC Financials - Form 8-K | neutral | 0.9331288 |
| 2021-12-10T22:26:01+00:00 | Microvast Statement Regarding 8-K Filing on Former SPAC Financials | neutral | 0.9200550 |
| 2021-12-10T18:00:00+00:00 | Keen Victorians stretch state’s COVID-testing capacity | negative | 0.6865837 |
| 2021-12-10T18:00:00+00:00 | Keen Victorians stretch state’s COVID-testing capacity | negative | 0.6865837 |
| 2021-12-10T15:51:26+00:00 | Heavy snow, thunderstorms hamper travel across large swath of U.S. | neutral | 0.5324754 |
| 2021-12-10T14:42:15+00:00 | General Announcement::Inside Information | neutral | 0.8983386 |
| 2021-12-10T12:52:07+00:00 | Emperor International : US$250,000,000 4.5% Notes Due September 2023 - Purchase and Cancellation of Part of the Notes | neutral | 0.8468109 |
| 2021-12-10T09:44:50+00:00 | Thrivent Financial for Lutherans Sells 1,924 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9416851 |
| 2021-12-10T08:42:24+00:00 | China Ecotourism : • Change of Auditor | neutral | 0.8494068 |
| 2021-12-10T08:05:09+00:00 | Reliance raises stake in HFCL to 5% through QIP | positive | 0.6296704 |
| 2021-12-11T10:54:47+00:00 | Assenagon Asset Management S.A. Sells 32,811 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9389236 |
| 2021-12-11T01:59:17+00:00 | UK warns over reliance on Russian gas as G7 ministers meet | negative | 0.8532588 |
| 2021-12-12T18:51:08+00:00 | Reliance, partner looking to buy bankrupt textile company Sintex | positive | 0.5076668 |
| 2021-12-12T11:57:55+00:00 | Ireland’s reliance on multinationals runs way deeper than corporate tax | positive | 0.5863212 |
| 2021-12-12T10:50:08+00:00 | Reliance, partner bid to acquire textile company Sintex | positive | 0.6968358 |
| 2021-12-12T10:35:35+00:00 | Reliance, partner in fray to acquire textile company Sintex | positive | 0.7438807 |
| 2021-12-12T06:21:37+00:00 | Asia’s Richest Man Looking to Buy Bankrupt Textile Firm in India | neutral | 0.8947877 |
| 2021-12-12T05:45:52+00:00 | 7 of top-10 most-valued cos add over Rs 2.28 lakh crore to m-cap | positive | 0.9287109 |
| 2021-12-12T05:13:00+00:00 | 7 of top-10 most-valued companies add over Rs 2.28 lakh crore to m-cap | positive | 0.9057509 |
| 2021-12-13T21:28:39+00:00 | Why Is Samsung Getting Into LG’s OLED Bed? | neutral | 0.7888890 |
| 2021-12-13T18:01:02+00:00 | Reliance Global leads financial gainers, Qudian and KE Holdings among losers | neutral | 0.8451622 |
| 2021-12-13T15:28:12+00:00 | Another Milestone Towards Atmanirbhar Bharat: India’s Acquisition of Russian Assault Rifle – Analysis | positive | 0.8504785 |
| 2021-12-13T14:49:52+00:00 | Automobiles - Weak Demand, Post Festival Inventory Correction Impact Performance In Nov: Reliance Securities | negative | 0.9536852 |
| 2021-12-13T14:42:43+00:00 | Reliance Worldwide Co. Limited (OTCMKTS:RLLWF) Short Interest Up 21,150.0% in November | positive | 0.9454315 |
| 2021-12-13T10:57:44+00:00 | Indian shares fall as Reliance weighs, investors await inflation data | negative | 0.9714500 |
| 2021-12-13T10:57:23+00:00 | Indian shares fall as Reliance weighs, investors await inflation data | negative | 0.9697595 |
| 2021-12-13T10:56:19+00:00 | Joint Announcement: Unaudited First Quarterly Results of a Subsidiary Media Asia Group Holdings Limited for the Three Months Ended 31 October 2021 | neutral | 0.9129986 |
| 2021-12-13T10:56:05+00:00 | Esprit : APPOINTMENT OF INDEPENDENT NON-EXECUTIVE DIRECTOR | neutral | 0.9170477 |
| 2021-12-13T10:12:45+00:00 | Reliance Industries, two metals shares among stocks to buy; ICICI Direct sees 10-13% upside for each | negative | 0.9739347 |
| 2021-12-14T22:36:12+00:00 | Banks slowly reconsider overdraft fees | neutral | 0.4585003 |
| 2021-12-14T21:38:44+00:00 | Government considers seafood workforce inquiry recommendations | neutral | 0.6364934 |
| 2021-12-14T17:48:51+00:00 | Austria’s interior minister under fire for 2007 remarks about ‘climate poisoners’ from Israel, US | neutral | 0.7144714 |
| 2021-12-14T17:46:19+00:00 | Banks reconsider overdraft fees after pressure from lawmakers, regulators | negative | 0.7916175 |
| 2021-12-14T15:23:46+00:00 | India revoking 2019 Future deal would boost Reliance, hurt competition, says Amazon | negative | 0.9459485 |
| 2021-12-14T15:11:34+00:00 | Exclusive-Amazon says India revoking Future deal would boost Reliance, hurt competition | positive | 0.9341636 |
| 2021-12-14T15:03:44+00:00 | Exclusive-Amazon says India revoking Future deal would boost Reliance, hurt competition | negative | 0.9263145 |
| 2021-12-14T14:55:52+00:00 | Amazon says India revoking Future deal would boost Reliance, hurt competition | negative | 0.9505951 |
| 2021-12-14T14:54:24+00:00 | Amazon says India revoking Future deal would boost Reliance, hurt competition | negative | 0.9505951 |
| 2021-12-14T14:53:32+00:00 | AMAZON TELLS INDIA REGULATOR FUTURE DEAL WITH RELIANCE “WILL FURTHER RESTRICT COMPETITION IN THE INDIAN RETAIL MARKET” | neutral | 0.9059625 |
| 2021-12-15T21:12:01+00:00 | First Trust Dynamic Europe Equity Income Fund Issues Notice Regarding December 2021 Distribution | neutral | 0.9217787 |
| 2021-12-15T21:12:00+00:00 | First Trust Energy Infrastructure Fund Issues Notice Regarding December 2021 Distribution | neutral | 0.8946537 |
| 2021-12-15T20:19:11+00:00 | Energy Sense Data Spotlight: Unpacking Solar Adoption, Habits and Attitudes by Generation | neutral | 0.9083928 |
| 2021-12-15T19:30:48+00:00 | U.S. Coast Guard offloads more than $148 million of illegal narcotics in Miami | negative | 0.7265220 |
| 2021-12-15T18:28:49+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Given Average Recommendation of “Buy” by Brokerages | neutral | 0.8466288 |
| 2021-12-15T17:39:21+00:00 | General Announcement::COMPLETION ANNOUNCEMENT RELATING TO THE DISCLOSEABLE TRANSACTIONS | neutral | 0.9112344 |
| 2021-12-15T17:39:19+00:00 | Bondholder’s Early Redemption (Put Option)::Voluntary | neutral | 0.9179272 |
| 2021-12-15T16:10:54+00:00 | SaskPower not passing on 2022 federal carbon price increase to its customers | positive | 0.8558380 |
| 2021-12-15T15:42:02+00:00 | Reliance Global Group CEO to Participate in the Benzinga All Access Event on December 16 | neutral | 0.9411167 |
| 2021-12-15T14:32:04+00:00 | Thinking about buying stock in BELLUS Health, Gemini Therapeutics, BlackBerry, Reliance Global Group, or Ocugen? | neutral | 0.9461808 |
| 2021-12-16T22:56:22+00:00 | China, Russia Pledge to Reduce Reliance on US-Led Financial System | neutral | 0.8044537 |
| 2021-12-16T17:55:29+00:00 | U.S. Coast Guard towing exercise [Image 2 of 3] | neutral | 0.7331024 |
| 2021-12-16T17:09:17+00:00 | EIOPA insurance stress test shows industry resilience but also reliance on transitional measures | neutral | 0.8637834 |
| 2021-12-16T16:07:22+00:00 | VDL shoots herself in foot as new ‘green’ policy will see MORE reliance on Russia | positive | 0.8014247 |
| 2021-12-16T15:40:44+00:00 | Govt launches fourth round of auction, 99 coal mines put on sale | positive | 0.7405503 |
| 2021-12-16T14:32:04+00:00 | Thinking about buying stock in Canoo, Cidara Therapeutics, Ford Motor, Mesoblast, or Reliance Global? | neutral | 0.9456474 |
| 2021-12-16T12:09:17+00:00 | Xinhua Winshare Publishing and Media : Inside Information Development On The Controlling Shareholder’S Acceptance Of The Free Transfer Of State-Owned Property Rights | neutral | 0.9449078 |
| 2021-12-16T11:49:11+00:00 | AAG Energy : RENEWAL OF CONTINUING CONNECTED TRANSACTION UNDER THE 2022 COOPERATION FRAMEWORK AGREEMENT | neutral | 0.9286228 |
| 2021-12-16T10:23:01+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Stock Holdings Cut by New York State Teachers Retirement System | negative | 0.8498763 |
| 2021-12-16T07:09:12+00:00 | Reliance Communications : PARTNER COMMUNICATIONS REPORTS THAT THE COURT HAS APPROVED A TRANSACTION SUBJECT TO CLOSING CONDITIONS TO PURCHASE THE COMPANY’S SHARES UNDER ADV. EHUD SOL’S RECEVIERSHIP | neutral | 0.8885427 |
| 2021-12-17T16:49:15+00:00 | Yext : ​​What You Need to Know to Innovate Your Online Experience | neutral | 0.8488520 |
| 2021-12-17T16:09:31+00:00 | TL Natural Gas : RESIGNATION OF AUDITORS | neutral | 0.5965668 |
| 2021-12-17T15:02:59+00:00 | Reliance Jewels launches Diamond Delights – a spectacular collection of Diamond necklace sets | positive | 0.5502092 |
| 2021-12-17T14:37:13+00:00 | Indian Competition Regulator Slaps $26.5 Mln Penalty on Amazon for Hiding Info in Future Group Deal | negative | 0.9424307 |
| 2021-12-17T13:59:12+00:00 | Fortinet : Defending Connected SAP Systems Against Emerging Threats Using Deception Technology | neutral | 0.9089296 |
| 2021-12-17T12:39:12+00:00 | Shoucheng : CONNECTED TRANSACTION - ESTABLISHMENT OF PARTNERSHIP AND SUBSCRIPTION OF INTEREST IN THE PARTNERSHIP | neutral | 0.9420084 |
| 2021-12-17T12:19:18+00:00 | Shimao : Discloseable Transaction - Disposal of Shareholdings of the Target Companies | neutral | 0.9224476 |
| 2021-12-17T12:03:56+00:00 | Kshs 8.4B pharmaceutical plant to reduce Kenya’s reliance on imports | positive | 0.8158945 |
| 2021-12-17T12:02:11+00:00 | Get On the Path to a New High Tech Career at University of Phoenix | positive | 0.4989405 |
| 2021-12-17T11:52:43+00:00 | Aptus Capital Advisors LLC Acquires 1,728 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | positive | 0.9187979 |
| 2021-12-18T17:00:43+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Shares Bought by Beacon Harbor Wealth Advisors Inc. | neutral | 0.9375910 |
| 2021-12-18T15:50:42+00:00 | Moody Aldrich Partners LLC Sells 3,532 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9413151 |
| 2021-12-18T15:14:43+00:00 | Moody Aldrich Partners LLC Lowers Stake in Reliance Steel & Aluminum Co. (NYSE:RS) | negative | 0.4894824 |
| 2021-12-18T13:06:42+00:00 | WINTON GROUP Ltd Lowers Stake in Reliance Steel & Aluminum Co. (NYSE:RS) | negative | 0.5824960 |
| 2021-12-18T10:12:06+00:00 | Mukesh Ambani lays out five best books of 2021 that are helping him prep-up for 2022 | neutral | 0.8595493 |
| 2021-12-18T05:50:09+00:00 | China Resources Power : In the First Eleven Months of 2021, Net Generation of Subsidiary Power Plants Increased by 16.3%, among which Wind Farms Increased by 56.9%, Photovoltaic Plants Increased by 60.9% | neutral | 0.9186202 |
| 2021-12-18T03:49:52+00:00 | UAE Move to Scrap F-35 Deal Reflects Waning US Power in Multipolar World, Analysts Say | negative | 0.8904701 |
| 2021-12-23T21:47:32+00:00 | E Home Household Service : Securities Purchase Agreement - Form 6-K | neutral | 0.9391363 |
| 2021-12-23T19:37:04+00:00 | Reliance Communications : Prospectus and Public Offerings | neutral | 0.9403595 |
| 2021-12-23T17:28:34+00:00 | India’s crude imports hit 10-month peak as refiners bank on strong demand | positive | 0.9408993 |
| 2021-12-23T14:42:02+00:00 | Reliance Global Group Announces Pricing of $20.0 Million Private Placement with Institutional Investors | neutral | 0.9029688 |
| 2021-12-23T14:41:22+00:00 | Reliance Global Group Announces Pricing Of $20.0 Million Private Placement With Institutional Investors | neutral | 0.7222028 |
| 2021-12-23T12:07:06+00:00 | IPE : NOTICE OF THE EXTRAORDINARY GENERAL MEETING | neutral | 0.8918759 |
| 2021-12-23T11:37:06+00:00 | Lai Sun Garment International : ELECTION OF LANGUAGE AND MEANS OF RECEIPT OF CORPORATE COMMUNICATIONS | neutral | 0.9146633 |
| 2021-12-23T10:30:31+00:00 | #BTEditorial – Mrs Knight faith in our justice system | negative | 0.6737919 |
| 2021-12-23T09:47:10+00:00 | China Aircraft Leasing : NOTICE OF LISTING ON THE STOCK EXCHANGE OF HONG KONG LIMITED - ISSUE OF U.S.\(100,000,000 4.85 per cent. GUARANTEED NOTES DUE 2024 BY CALC BONDS LIMITED UNDER ITS U.S.latex6e17c10e508d2ef076912076780d9b0e Denominated Fixed Rate Notes under the SEBI (Listing Obligations and Disclosure Requirements) Regulations 2015, (&ldquo;SEBI Listing Regulations&rdquo;) </td> <td style="text-align:left;"> neutral </td> <td style="text-align:right;"> 0.9446959 </td> </tr> <tr> <td style="text-align:left;"> 2021-12-31T10:57:20+00:00 </td> <td style="text-align:left;"> ETS : Discloseable and Connected Transaction in relation to the China Paint Building Lease </td> <td style="text-align:left;"> neutral </td> <td style="text-align:right;"> 0.9292585 </td> </tr> <tr> <td style="text-align:left;"> 2021-12-31T10:17:06+00:00 </td> <td style="text-align:left;"> Shoucheng : (1) CONNECTED TRANSACTION - ESTABLISHMENT OF PARTNERSHIP AND SUBSCRIPTION OF INTEREST IN THE PARTNERSHIP; AND (2) CONTINUING CONNECTED TRANSACTIONS - PROVISION OF EXECUTIVE PARTNERSHIP SERVICES </td> <td style="text-align:left;"> neutral </td> <td style="text-align:right;"> 0.9460551 </td> </tr> <tr> <td style="text-align:left;"> 2021-12-31T10:01:00+00:00 </td> <td style="text-align:left;"> Reliance New Energy Solar to Acquire Faradion Limited </td> <td style="text-align:left;"> positive </td> <td style="text-align:right;"> 0.8982713 </td> </tr> <tr> <td style="text-align:left;"> 2021-12-31T09:57:17+00:00 </td> <td style="text-align:left;"> Agricultural Bank of China : DEPARTURE OF DIRECTOR2021-12-31 </td> <td style="text-align:left;"> neutral </td> <td style="text-align:right;"> 0.7058372 </td> </tr> <tr> <td style="text-align:left;"> 2021-12-31T09:47:02+00:00 </td> <td style="text-align:left;"> Agricultural Bank of China : LIST OF DIRECTORS AND THEIR ROLE AND FUNCTION2021-12-31 </td> <td style="text-align:left;"> neutral </td> <td style="text-align:right;"> 0.8996150 </td> </tr> <tr> <td style="text-align:left;"> 2022-01-01T18:27:01+00:00 </td> <td style="text-align:left;"> Reliance Industries : Disclosure under Regulation 30 of the Securities and Exchange Board of India (Listing Obligations and Disclosure Requirements) Regulations, 2015 - Intimation of approval for proposed issuance of Senior Unsecured US\) Denominated Fixed Rate Notes | neutral | 0.9430538 |
| 2022-01-01T16:34:21+00:00 | India’s Reliance plans to raise up to $5 billion in U.S. debt | neutral | 0.6464983 |
| 2022-01-01T16:07:02+00:00 | China ZhengTong Auto Services : INSIDE INFORMATION UPDATE ON LEGAL PROCEEDINGS | neutral | 0.9065408 |
| 2022-01-01T15:31:56+00:00 | Reliance to raise $5 bn via overseas bonds to retire existing borrowings | positive | 0.8232405 |
| 2022-01-01T15:28:49+00:00 | India’s Reliance plans to raise up to \(5 bln in US\) debt | neutral | 0.7548398 |
| 2022-01-01T12:00:36+00:00 | Reliance to raise up to $5 billion, to use it mainly for refinancing existing borrowings | neutral | 0.8416945 |
| 2022-01-18T21:43:39+00:00 | Problem of homelessness in Traveller community highlighted at webinar | negative | 0.7770039 |
| 2022-01-18T21:11:03+00:00 | First Trust Dynamic Europe Equity Income Fund Issues Notice Regarding January 2022 Distribution | neutral | 0.9235706 |
| 2022-01-18T19:04:01+00:00 | 2022 budget: Economists charge FG on revenue mobilisation policies, efforts | neutral | 0.7613408 |
| 2022-01-18T16:30:44+00:00 | Just Dial profit declines 61.2% in October-December quarter | negative | 0.8890349 |
| 2022-01-18T16:23:01+00:00 | Reliance Jio Remains Largest Telecom Firm By Active User Base In November | neutral | 0.7887765 |
| 2022-01-18T16:05:09+00:00 | Reliance Industries joins calls for India to tighten marketplace rules: Report | neutral | 0.7200524 |
| 2022-01-18T15:15:11+00:00 | DPIIT meeting on E-comm Policy: Retailers, MSMEs seek level playing field; marketplaces list SME initiatives | neutral | 0.8706348 |
| 2022-01-18T15:06:41+00:00 | Reliance joins calls for India to tighten marketplace rules, sources say | negative | 0.5772839 |
| 2022-01-18T14:54:15+00:00 | Reliance joins calls for India to tighten marketplace rules -sources | neutral | 0.5086225 |
| 2022-01-18T13:21:02+00:00 | Research Shows the Move to Modern Multicloud Environments Has Broken Traditional Approaches to Infrastructure Monitoring | negative | 0.8638902 |
| 2022-01-19T14:42:12+00:00 | Shanghai Fosun Pharmaceutical : OVERSEAS REGULATORY ANNOUNCEMENT (H SHARES) | neutral | 0.9147732 |
| 2022-01-19T14:30:53+00:00 | Reliance Steel & Aluminum (NYSE:RS) Given New $180.00 Price Target at KeyCorp | positive | 0.8920749 |
| 2022-01-19T13:01:21+00:00 | Ramkrishna Forgings Q3 Review - New High Margin Territory To Aid Rerating: Reliance Securities | neutral | 0.7266352 |
| 2022-01-19T13:01:00+00:00 | Report says Australia-owned satellites are needed to watch this space | neutral | 0.5022034 |
| 2022-01-19T13:01:00+00:00 | Report says Australia-owned satellites are needed to watch this space | neutral | 0.5022034 |
| 2022-01-19T13:01:00+00:00 | Report says Australia-owned satellites are needed to watch this space | neutral | 0.5022034 |
| 2022-01-19T13:01:00+00:00 | Report says Australia-owned satellites are needed to watch this space | neutral | 0.5022034 |
| 2022-01-19T13:01:00+00:00 | Report says Australia-owned satellites are needed to watch this space | neutral | 0.5022034 |
| 2022-01-19T13:01:00+00:00 | Report says Australia-owned satellites are needed to watch this space | neutral | 0.5022034 |
| 2022-01-19T13:01:00+00:00 | Report says Australia-owned satellites are needed to watch this space | neutral | 0.5022034 |
| 2022-01-20T21:43:36+00:00 | Volcan Compañía Minera A : Santander XXVI Latin American Conference January 2022 | neutral | 0.8285192 |
| 2022-01-20T20:41:22+00:00 | ‘It could happen again’: Journalist explains why Texas is woefully unprepared for another severe Arctic blast | negative | 0.8521022 |
| 2022-01-20T18:30:00+00:00 | New year, new opportunities for Victoria’s climate transition | neutral | 0.5923769 |
| 2022-01-20T18:30:00+00:00 | New year, new opportunities for Victoria’s climate transition | neutral | 0.5923769 |
| 2022-01-20T18:30:00+00:00 | New year, new opportunities for Victoria’s climate transition | neutral | 0.5923769 |
| 2022-01-20T18:30:00+00:00 | New year, new opportunities for Victoria’s climate transition | neutral | 0.5923769 |
| 2022-01-20T18:30:00+00:00 | New year, new opportunities for Victoria’s climate transition | neutral | 0.5923769 |
| 2022-01-20T18:30:00+00:00 | New year, new opportunities for Victoria’s climate transition | neutral | 0.5923769 |
| 2022-01-20T15:10:50+00:00 | Bokf Na Invests $3.23 Million in Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.8716070 |
| 2022-01-20T13:41:12+00:00 | Emperor International : US$250,000,000 4.5% Notes Due September 2023 - Purchase and Cancellation of Part of the Notes | neutral | 0.8545660 |
| 2022-01-21T19:33:13+00:00 | Reliance Industries : Monitoring Agency Report | neutral | 0.9334776 |
| 2022-01-21T19:33:10+00:00 | Reliance Industries : Press Release (Revised) | neutral | 0.9078989 |
| 2022-01-21T17:01:03+00:00 | Bee Mobile Joins the Nodle / Polkadot IoT Alliance as a Strategic Network Developer | neutral | 0.8367851 |
| 2022-01-21T16:55:40+00:00 | Footfall recovery, festive demand boost Reliance Retail's Q3 biz to record levels | positive | 0.9564232 |
| 2022-01-21T16:55:38+00:00 | Reliance Jio adds 10.2 million customers in Dec quarter | positive | 0.9384502 |
| 2022-01-21T16:33:07+00:00 | Reliance Industries : 2021 - 2022 Financial Presentation - Q3 Results 21, January | 2022 | neutral | 0.9309799 |
| 2022-01-21T16:20:44+00:00 | Intel Building $20B Ohio Chip Facility Amid Global Shortage | negative | 0.9692756 |
| 2022-01-21T16:20:44+00:00 | Intel Building $20B Ohio Chip Facility Amid Global Shortage | negative | 0.9692756 |
| 2022-01-21T16:10:00+00:00 | Reliance Industries posts record profits for Dec ’21 quarter | positive | 0.9456023 |
| 2022-01-21T16:05:09+00:00 | Reliance Retail Q3 net profit jumps 23.4% to Rs 2,259 cr | positive | 0.9509048 |
| 2022-01-22T16:46:42+00:00 | Pearl River Capital LLC Sells 2,450 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9392049 |
| 2022-01-22T16:34:51+00:00 | Reliance Jio Q3 Review - A Tad Soft: Dolat Capital | neutral | 0.6054373 |
| 2022-01-22T16:04:03+00:00 | Reliance Industries : Statement of deviation(s) or variation(s) under Reg. 32 | neutral | 0.6950340 |
| 2022-01-22T10:54:42+00:00 | Massachusetts Financial Services Co. MA Decreases Stock Position in Reliance Steel & Aluminum Co. (NYSE:RS) | positive | 0.5944844 |
| 2022-01-22T10:12:42+00:00 | Jio completes 5G coverage plans for top 1,000 cities in country | positive | 0.9476309 |
| 2022-01-22T07:26:42+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Expected to Post Q4 2021 Earnings of $5.08 Per Share | neutral | 0.8758959 |
| 2022-01-22T04:25:42+00:00 | Reliance Jio completes 5G coverage planning in 1,000 cities across India | positive | 0.6227409 |
| 2022-01-22T01:49:11+00:00 | What Is a Debt-to-Equity Ratio? Definition, Calculation & Examples | neutral | 0.9278237 |
| 2022-01-23T13:32:41+00:00 | Grantham Mayo Van Otterloo & Co. LLC Purchases 5,879 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9335577 |
| 2022-01-23T12:54:02+00:00 | Shanghai Fosun Pharmaceutical : VOLUNTARY ANNOUNCEMENT- ACQUISITION OF EQUITY INTEREST IN A SUBSIDIARY (H SHARES) | neutral | 0.9306461 |
| 2022-01-23T09:00:08+00:00 | Grocery start-ups' 10-min delivery promise sparks road safety risks | neutral | 0.4241414 |
| 2022-01-24T21:46:16+00:00 | Endeavour Silver : Disclosure for Restructuring Transactions - Form 6-K | neutral | 0.9257105 |
| 2022-01-24T16:46:46+00:00 | Ukraine tensions: How Europe’s eco policies increased reliance on Russian gas | positive | 0.4751487 |
| 2022-01-24T16:42:20+00:00 | India’s December crude oil imports at one-year peak | positive | 0.9222219 |
| 2022-01-24T16:25:58+00:00 | Study shows urban Britain’s potential as a ‘grow your own’ nation | positive | 0.8952786 |
| 2022-01-24T15:24:13+00:00 | Shanghai Fosun Pharmaceutical : CONNECTED TRANSACTION REGARDING THE TARGET FUND LPA AND CONTINUING CONNECTED TRANSACTION REGARDING THE TARGET FUND MANAGEMENT AGREEMENT AND FURTHER INFORMATION ON CONNECTED TRANSACTION REGARDING THE DALIAN FUND LPA | neutral | 0.9383609 |
| 2022-01-24T14:34:31+00:00 | Shimao : Discloseable Transaction – Disposal of 26.67% Interest in JV Company | neutral | 0.9248508 |
| 2022-01-24T14:24:11+00:00 | Xinhua Winshare Publishing and Media : List Of Directors And Their Role And Function | neutral | 0.9258881 |
| 2022-01-24T14:24:11+00:00 | Xinhua Winshare Publishing and Media : Change Of Company Secretary And Authorised Representatives And Waiver From Strict Compliance With Rules 3.28 And 8.17 Of The Listing Rules Resignation | neutral | 0.8862510 |
| 2022-01-24T14:24:11+00:00 | Xinhua Winshare Publishing and Media : Poll Results Of The Extraordinary General Meeting Held On 24 January 2022 | neutral | 0.9158134 |
| 2022-01-24T11:24:44+00:00 | California Public Employees Retirement System Reduces Stock Position in Reliance Steel & Aluminum Co. (NYSE:RS) | negative | 0.9340047 |
| 2022-01-25T23:35:18+00:00 | Here’s how Texans can get free at-home COVID-19 tests and N95 masks from the federal government | positive | 0.5975342 |
| 2022-01-25T21:05:46+00:00 | Couldn’t get a Jio SIM for your Samsung Z2? Here’s how you can! | neutral | 0.8956314 |
| 2022-01-25T21:05:46+00:00 | Video: Samsung Z2 Unboxing | neutral | 0.7540745 |
| 2022-01-25T20:14:55+00:00 | $1.2 billion Royal Beach development will bring thousands of new homes to Colwood | positive | 0.6443462 |
| 2022-01-25T16:24:47+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Shares Sold by Advisory Research Inc. | neutral | 0.9434546 |
| 2022-01-25T15:25:31+00:00 | Reliance Jio To Launch Budget JioPhone 5G Later This Year, Leaks Reveal | neutral | 0.7286427 |
| 2022-01-25T15:21:02+00:00 | ETQ Announces General Availability of a New Advanced Lab Investigation Application; New Version of Reliance NXG to More Easily Identify, Resolve and Analyze Quality Issues | neutral | 0.7770666 |
| 2022-01-25T14:32:07+00:00 | Future Retail in SC to avert defaulter tag; independent directors reject Amazon brought offer | negative | 0.9544706 |
| 2022-01-25T14:23:04+00:00 | Iran’s cost-of-living squeeze belies push for economic self-reliance | neutral | 0.5122007 |
| 2022-01-25T13:07:26+00:00 | Lai Sun Garment International : GRANT OF SHARE OPTIONS | neutral | 0.9142895 |
| 2022-01-26T18:16:04+00:00 | Coast Guard intercepts 191 Haitians near Bahamas | neutral | 0.7665648 |
| 2022-01-26T15:20:54+00:00 | Baby whale genetic testing may help save species, study says | positive | 0.8229300 |
| 2022-01-26T15:07:16+00:00 | EU needs to tackle Russia energy dependence | neutral | 0.6399168 |
| 2022-01-26T14:19:38+00:00 | Baby whale genetic testing may help save species, study says | positive | 0.7877679 |
| 2022-01-26T13:26:23+00:00 | First Tractor : ANNOUNCEMENT ON ESTIMATED INCREASE IN ANNUAL RESULTS FOR THE YEAR 2021 (in PDF) | neutral | 0.8867668 |
| 2022-01-26T13:16:13+00:00 | Lakeland Bancorp : Investor Presentation - 4th Quarter 2021 | neutral | 0.9353942 |
| 2022-01-26T12:57:29+00:00 | Baby whale genetic testing may help save species, study says | positive | 0.6648452 |
| 2022-01-26T12:00:03+00:00 | How Capable Is The Iraqi Air Force? | positive | 0.9421512 |
| 2022-01-26T09:26:16+00:00 | Cyprus competitiveness hindered by weaknesses in several sectors | negative | 0.9640520 |
| 2022-01-26T09:16:10+00:00 | Agricultural Bank of China : ANNOUNCEMENT ON THE RESOLUTIONS OF THE BOARD OF DIRECTORS2022-01-26 | neutral | 0.9166974 |
| 2022-01-27T16:38:41+00:00 | First Reliance Bancshares (OTCBB:FSRL) Posts Quarterly Earnings Results, Meets Expectations | positive | 0.8824909 |
| 2022-01-27T16:36:17+00:00 | India’s Reliance in talks to raise $1.6 bln for media JV as Viacom seeks lower stake -sources | positive | 0.5405708 |
| 2022-01-27T15:36:19+00:00 | Public Accounts Committee ‘not satisfied’ with reliance on hotels for direct provision | neutral | 0.8957655 |
| 2022-01-27T14:09:21+00:00 | Emperor International : US$250,000,000 4.5% Notes Due September 2023 - Purchase and Cancellation of Part of the Notes | neutral | 0.8589826 |
| 2022-01-27T11:49:16+00:00 | Silk Road Logistics : Announcements and Notices - CONNECTED TRANSACTION - LOAN AGREEMENT | neutral | 0.8991175 |
| 2022-01-27T09:09:15+00:00 | Greatwalle : Announcements and Notices - | neutral | 0.8895441 |
| 2022-01-27T07:34:46+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Expected to Post Quarterly Sales of $3.87 Billion | neutral | 0.6771138 |
| 2022-01-27T07:34:41+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Expected to Post Quarterly Sales of $3.87 Billion | neutral | 0.6771138 |
| 2022-01-27T07:08:06+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Expected to Post Quarterly Sales of $3.87 Billion | neutral | 0.6771138 |
| 2022-01-27T07:08:06+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Expected to Post Quarterly Sales of $3.87 Billion | neutral | 0.6771138 |
| 2022-01-28T20:00:02+00:00 | Treasury Considers Alternatives to ID.me Verification Citing Privacy Concerns, Bloomberg News Reports | neutral | 0.6490523 |
| 2022-01-28T16:08:51+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Stock Holdings Lifted by Lodge Hill Capital LLC | neutral | 0.5550759 |
| 2022-01-28T15:08:48+00:00 | Reliance Steel & Aluminum (NYSE:RS) Upgraded to Market Perform by Wolfe Research | positive | 0.9480722 |
| 2022-01-28T15:03:09+00:00 | Shimao : Discloseable Transaction - Disposal of Hotel Property | neutral | 0.9146087 |
| 2022-01-28T14:34:44+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Shares Sold by Oppenheimer Asset Management Inc. | neutral | 0.9426784 |
| 2022-01-28T14:33:09+00:00 | VOLUNTARY ANNOUNCEMENT: ACQUISITIONS OF EQUITY INTERESTS IN FIVE TARGET COMPANIES | neutral | 0.9195366 |
| 2022-01-28T12:22:42+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Shares Acquired by Mitsubishi UFJ Trust & Banking Corp | neutral | 0.9161859 |
| 2022-01-28T11:43:39+00:00 | Maanshan Iron & Steel : ANNOUNCEMENT ON ESTIMATED GROWTH IN PROFIT IN ANNUAL RESULTS OF 2021 | neutral | 0.9009740 |
| 2022-01-28T08:22:17+00:00 | Adani Wilmar IPO - A Fortune Of Edible Oil: Reliance Securities | neutral | 0.9457279 |
| 2022-01-28T06:46:12+00:00 | Reliance Communications : Corporate Insolvency Resolution Process | neutral | 0.9323025 |
| 2022-01-29T18:06:55+00:00 | South Africa hails new COVID jab plant in fight for self-reliance | positive | 0.7184666 |
| 2022-01-29T16:54:52+00:00 | Short Interest in Reliance Worldwide Co. Limited (OTCMKTS:RLLWF) Increases By 138.8% | positive | 0.9427049 |
| 2022-01-29T15:56:49+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Shares Sold by Empirical Finance LLC | negative | 0.9222962 |
| 2022-01-29T14:54:42+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Shares Sold by Vident Investment Advisory LLC | neutral | 0.9161948 |
| 2022-01-29T11:21:02+00:00 | China Minsheng Banking : ANNOUNCEMENT ON THE CHANGES OF REGISTRATION INFORMATION OF BUSINESS LICENSE | neutral | 0.9142410 |
| 2022-01-29T04:12:45+00:00 | Austin’s ton lands Reliance Scheme Shivanandan Madholall Memorial trophy | positive | 0.8333245 |
| 2022-01-30T19:11:14+00:00 | Beyer urges Biden to reduce U.S. reliance on nuclear weapons | positive | 0.7300218 |
| 2022-01-30T14:32:41+00:00 | Brandywine Global Investment Management LLC Reduces Holdings in Reliance Steel & Aluminum Co. (NYSE:RS) | negative | 0.9658955 |
| 2022-01-30T13:56:44+00:00 | Brandywine Global Investment Management LLC Cuts Position in Reliance Steel & Aluminum Co. (NYSE:RS) | negative | 0.9151330 |
| 2022-01-30T13:56:42+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Shares Sold by Brandywine Global Investment Management LLC | neutral | 0.9253500 |
| 2022-01-30T11:44:47+00:00 | Assetmark Inc. Has $2.02 Million Position in Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9445513 |
| 2022-01-30T09:30:39+00:00 | Nine of top 10 most valued cos lose Rs 3 lakh cr in m-cap; RIL top drag | negative | 0.9673503 |
| 2022-01-30T04:16:15+00:00 | Central Essequibo Cricket Committee Invitational 10-10 bowls off today | neutral | 0.6506030 |
| 2022-01-30T03:31:16+00:00 | Ambani’s $75 Billion Plan Aims to Make India a Hydrogen Hub | neutral | 0.6657342 |
| 2022-01-31T17:02:16+00:00 | Amazon-Future case: SC to pronounce verdict on pleas of Future group firms | negative | 0.9373227 |
| 2022-01-31T16:50:58+00:00 | Powdered milk production to discourage reliance on imports: Fakhar Imam | neutral | 0.5254086 |
| 2022-01-31T15:08:15+00:00 | Reliance Brands, Rahul Mishra Form Joint Venture to Boost RTW | positive | 0.8896452 |
| 2022-01-31T14:00:37+00:00 | RELIANCE BRANDS LIMITED AND RAHUL MISHRA: A GAME CHANGING PARTNERSHIP | positive | 0.6837848 |
| 2022-01-31T13:35:39+00:00 | Reliance Brands, designer Rahul Mishra finalise Ready to Wear joint venture | neutral | 0.9320679 |
| 2022-01-31T12:44:55+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Shares Sold by Epoch Investment Partners Inc. | neutral | 0.9446231 |
| 2022-01-31T12:30:16+00:00 | Nato chief flags European energy security concerns | neutral | 0.5414530 |
| 2022-01-31T11:40:20+00:00 | Reliance Brands Limited And Rahul Mishra: A Game Changing Partnership | neutral | 0.5320867 |
| 2022-01-31T11:27:27+00:00 | Brexit Britain’s bumper lithium stores could ‘replace oil’ and CUT reliance on Russia | positive | 0.6004658 |
| 2022-01-31T11:05:01+00:00 | Reliance, IT stocks lift Indian shares ahead of federal budget | positive | 0.9402503 |
| 2022-02-01T23:18:13+00:00 | Replacing Animal Agriculture And Shifting To Plant-Based Diet Could Drastically Curb Greenhouse Gas Emissions | neutral | 0.8578200 |
| 2022-02-01T22:01:02+00:00 | Electric Last Mile Solutions Announces Leadership Transition and Financial Update | neutral | 0.8958317 |
| 2022-02-01T19:00:02+00:00 | Phasing out animal agriculture could potentially stabilize greenhouse gas levels for decades, according to new model | neutral | 0.6985008 |
| 2022-02-01T18:30:00+00:00 | You’re being watched: How Big Data is changing our lives | neutral | 0.9037165 |
| 2022-02-01T18:30:00+00:00 | You’re being watched: How Big Data is changing our lives | neutral | 0.9037165 |
| 2022-02-01T18:30:00+00:00 | You’re being watched: How Big Data is changing our lives | neutral | 0.9037165 |
| 2022-02-01T18:30:00+00:00 | You’re being watched: How Big Data is changing our lives | neutral | 0.9037165 |
| 2022-02-01T18:30:00+00:00 | You’re being watched: How Big Data is changing our lives | neutral | 0.9037165 |
| 2022-02-01T16:56:53+00:00 | EU ropes in pension funds to boost post-Brexit clearing capacity | positive | 0.8000875 |
| 2022-02-01T16:47:59+00:00 | EU ropes in pension funds to boost post-Brexit clearing capacity | positive | 0.5076385 |
| 2022-02-03T22:10:10+00:00 | Gary Trades on Leading and Leaving the Ladder Down With Day Trading | neutral | 0.8303995 |
| 2022-02-03T19:30:42+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Given Consensus Rating of “Buy” by Analysts | neutral | 0.8974490 |
| 2022-02-03T19:03:08+00:00 | No need for another IMF package with 5-6% GDP growth: Tarin | neutral | 0.5951613 |
| 2022-02-03T15:11:53+00:00 | PLI scheme for solar to help Reliance, Tata, Adani, 16 others to take India closer to 2030 renewable goal | positive | 0.8801908 |
| 2022-02-03T13:37:15+00:00 | Future-Reliance Deal: Supreme Court Reserves Order On NCLT Process | neutral | 0.8950427 |
| 2022-02-03T12:56:41+00:00 | NFJ Investment Group LLC Buys 73,256 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9164178 |
| 2022-02-03T10:00:43+00:00 | Japan must quadruple foreign workers by 2040 to meet growth target – report | positive | 0.5644180 |
| 2022-02-03T09:21:32+00:00 | Lenders to India’s Future Retail call for its assets to be put up for auction | negative | 0.7107820 |
| 2022-02-03T09:18:19+00:00 | Lenders to India’s Future Retail call for its assets to be put up for auction | negative | 0.6736425 |
| 2022-02-03T06:47:59+00:00 | Siemens Gamesa confirms gloomy profit outlook and Q1 loss | negative | 0.9428486 |
| 2022-02-04T21:16:40+00:00 | Reliance Global : Delisting/Failure to Satisfy Listing Rule/Transfer of Listing - Form 8-K | neutral | 0.8451878 |
| 2022-02-04T16:56:34+00:00 | Redbox Entertainment, Bit Digital leads financial gainers; Reliance Global, SilverBox Engaged Merger among major losers | positive | 0.7662839 |
| 2022-02-04T14:56:18+00:00 | Narayana Hrudayalaya : Investor Presentation - Q3, FY2022 | neutral | 0.9457789 |
| 2022-02-04T14:53:23+00:00 | Reliance Buys Stake In Silicon Valley Startup Two Platforms | neutral | 0.9223406 |
| 2022-02-04T13:59:03+00:00 | Rahul Gandhi Says Rise of Imports From China to Blame for India’s Worsening Unemployment | positive | 0.8835945 |
| 2022-02-04T12:46:12+00:00 | MANUFACTURING OF DEFENCE EQUIPMENT | neutral | 0.8795145 |
| 2022-02-04T12:45:38+00:00 | Airtel, Vi, Jio, MTNL given permission to conduct 5G trials: Govt | neutral | 0.5518496 |
| 2022-02-04T11:48:41+00:00 | Macquarie Group Ltd. Trims Stake in Reliance Steel & Aluminum Co. (NYSE:RS) | negative | 0.9355111 |
| 2022-02-04T11:25:36+00:00 | Reliance Capital Q3 net loss narrows to Rs 1,759 cr | negative | 0.9757270 |
| 2022-02-04T11:11:17+00:00 | Reliance Capital posts net loss of Rs 1,759 crore in Q3 | negative | 0.9629565 |
| 2022-02-05T16:59:27+00:00 | IPL 2022 Auction LIVE Streaming: How to watch Mega Auction LIVE Streaming In your country, India | neutral | 0.8655584 |
| 2022-02-05T12:36:17+00:00 | Budget 2022: Pivot areas with a sight to propel India's growth | positive | 0.8496477 |
| 2022-02-05T11:19:17+00:00 | Reliance Jio faces service outage in Mumbai | negative | 0.9621946 |
| 2022-02-05T11:07:02+00:00 | Reliance Jio faces service outage in Mumbai since Saturday morning | negative | 0.9708636 |
| 2022-02-05T09:36:00+00:00 | Germany must cut reliance on Russian gas, minister says | negative | 0.9671091 |
| 2022-02-05T08:16:11+00:00 | Several Reliance Jio users in Mumbai unable to make calls, internet services disrupted | negative | 0.9621872 |
| 2022-02-05T06:33:46+00:00 | IndiGo Q3 Review - Rising Yield To Aid Turnaround Story: Reliance Securities | positive | 0.8063313 |
| 2022-02-06T23:23:54+00:00 | Solid Polybutadiene Market Huge Growth Opportunities and Trends to 2026 | ARALNXEO,UBE Industries Ltd,JSR Corporation,Kumho Petrochemical Co. Ltd,Reliance Industries Ltd.,SABIC | neutral | 0.8789018 |
| 2022-02-06T15:28:01+00:00 | Reliance Industries : NCLT Convened Meeting(s) Announcement - Reliance - Gasification Scheme | neutral | 0.9234875 |
| 2022-02-06T14:14:59+00:00 | Micro Venture Capital (VC) Funds Market : MatchStick Ventures, Reach Capital, Fifty Years Industries, LLC, Backstage Capital, Ocean Azul Partners, Reliance Capital Limited, Purpose Captial Impact Fund, Concrete Ventures LLC. | neutral | 0.9006069 |
| 2022-02-06T11:54:19+00:00 | Sintex Industries insolvency in final stages, company receives revised bids | neutral | 0.5756739 |
| 2022-02-06T11:28:42+00:00 | The Manufacturers Life Insurance Company Acquires 3,352 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9295580 |
| 2022-02-06T09:47:40+00:00 | Diagnostics industry seeks correction of inverted duty structure to facilitate import substitution and self-reliance | neutral | 0.8827173 |
| 2022-02-06T08:10:35+00:00 | Eight of top-10 most valued firms added over Rs 1.51 lakh cr to m-cap | negative | 0.9403568 |
| 2022-02-07T20:17:01+00:00 | Running out of gas: Could Russia cause a European energy crisis? | negative | 0.9655216 |
| 2022-02-07T15:30:39+00:00 | Reliance Communications : PARTNER COMMUNICATIONS TO RELEASE FOURTH QUARTER AND ANNUAL RESULTS FOR 2021 ON FEBRUARY 28, 2022 | neutral | 0.9191173 |
| 2022-02-07T14:46:05+00:00 | Exclusive-U.S. weighs Chevron request to take Venezuela oil for debt payments -sources | neutral | 0.8836051 |
| 2022-02-07T14:20:09+00:00 | European Reliance General Insurance S A : ANNOUNCEMENT ABOUT COMMENTS ON PRESS | neutral | 0.9367577 |
| 2022-02-07T13:46:41+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Shares Purchased by Dimensional Fund Advisors LP | neutral | 0.8911914 |
| 2022-02-07T11:24:49+00:00 | 75,342 Shares in Reliance Steel & Aluminum Co. (NYSE:RS) Bought by Natixis | neutral | 0.8824834 |
| 2022-02-07T11:24:43+00:00 | Natixis Makes New Investment in Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9030048 |
| 2022-02-07T11:16:13+00:00 | Jio offers two days of free calls and data to users, check if you are eligible | negative | 0.7383495 |
| 2022-02-07T10:18:03+00:00 | Zoomlion Heavy Industry Science and Technology : ANNOUNCEMENT IN RELATION TO THE ACQUISITION OF 29.99% EQUITY INTEREST IN SHENZHEN ROADROVER TECHNOLOGY CO., LTD. | neutral | 0.9405144 |
| 2022-02-07T10:00:51+00:00 | Credit Suisse AG Grows Position in Reliance Steel & Aluminum Co. (NYSE:RS) | positive | 0.9403097 |
| 2022-02-08T15:25:36+00:00 | SC rejects Amazon’s request to file fresh written submission | neutral | 0.7303119 |
| 2022-02-08T15:17:23+00:00 | EU proposes €43bn Chips Act to tackle semiconductor shortage | positive | 0.8399452 |
| 2022-02-08T13:21:04+00:00 | Dominica’s CBI Programme is Making Fossil Fuels a Thing of the Past | neutral | 0.6868442 |
| 2022-02-08T13:19:48+00:00 | IPL 2022 Auction LIVE on Mobile, Check How to watch Mega Auction Live Streaming for free in your Laptop and Mobile for free | neutral | 0.8684617 |
| 2022-02-08T11:39:38+00:00 | Innovative chip factories may get 100% aid for funding gap, EU’s Vestager says | positive | 0.8754602 |
| 2022-02-08T11:19:00+00:00 | Innovative chip factories may get 100% state aid, EU’s Vestager says | positive | 0.8339401 |
| 2022-02-08T11:09:04+00:00 | Indian shares snap 3-day losing streak on Reliance, metals boost | positive | 0.8718957 |
| 2022-02-08T10:54:50+00:00 | Hsbc Holdings PLC Sells 3,322 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | positive | 0.8847792 |
| 2022-02-08T10:10:41+00:00 | Hsbc Holdings PLC Sells 3,322 Shares of Reliance Steel & Aluminum Co. (NYSE:RS) | negative | 0.8388801 |
| 2022-02-08T10:10:41+00:00 | Hsbc Holdings PLC Decreases Stock Position in Reliance Steel & Aluminum Co. (NYSE:RS) | negative | 0.9659619 |
| 2022-02-09T12:06:42+00:00 | Reliance Steel & Aluminum Co. (NYSE:RS) Shares Purchased by HighTower Advisors LLC | positive | 0.9284732 |
| 2022-02-09T11:55:06+00:00 | Circular Chimney Caps Market 2022-2030, By Top Key Company Profiles – Chimney King, Reliance Mfg., Fireplace Essentials, Stromberg, Chimney Cap Design, GLL | neutral | 0.8705328 |
| 2022-02-09T11:50:31+00:00 | Forget Shark Tank India, Here’s How Much Mukesh Ambani Has Invested In Indian Startups | neutral | 0.9287278 |
| 2022-02-09T11:19:31+00:00 | ZTO Express Cayman : Announcement — Date of Board Meeting - Form 6-K | neutral | 0.9172129 |
| 2022-02-09T08:39:18+00:00 | China Environmental Resources : DATE OF BOARD MEETING | neutral | 0.9009678 |
| 2022-02-09T08:29:21+00:00 | Reliance Communications : RELEASE FOURTH QUARTER AND ANNUAL RESULTS FOR 2021 ON FEBRUARY 28, 2022 | neutral | 0.9067180 |
| 2022-02-09T07:00:42+00:00 | Reliance Global Group (NASDAQ:RELI) Trading Down 1.5% | negative | 0.9756201 |
| 2022-02-09T07:00:41+00:00 | Reliance Global Group (NASDAQ:RELI) Shares Down 1.5% | negative | 0.9754947 |
| 2022-02-09T06:45:54+00:00 | FRL-Reliance merger: SC notice to Future group on plea of Amazon | negative | 0.8090582 |
| 2022-02-09T06:32:20+00:00 | FRL-Reliance merger: Supreme Court notice to Future group on plea of Amazon | neutral | 0.7941569 |
| 2022-02-10T21:39:31+00:00 | A Look At The Explosion In The Popularity Of Digital Casinos | neutral | 0.9237325 |
| 2022-02-10T21:39:00+00:00 | Congress Must Pass Defense Spending Bill Quickly, Air Force Association Tells Hill Leaders | neutral | 0.8030747 |
| 2022-02-10T18:46:33+00:00 | UW researchers employ virtual reality technology to reimagine scientific exploration | neutral | 0.9136832 |
| 2022-02-10T15:15:39+00:00 | IPL Mega Auction 2022: Virat Kohli’s Royal Challengers Bangalore to go all out for Harshal Patel, Devdutt Padikkal, and an AB de Villiers clone | negative | 0.9388433 |
| 2022-02-10T13:57:06+00:00 | Reliance Jewels celebrates the season of love with special Valentine collection ‘Floreo’ | positive | 0.6300266 |
| 2022-02-10T12:53:43+00:00 | 409 AEG Airmen train Nigerien Armed Forces [Image 1 of 5] | positive | 0.5821045 |
| 2022-02-10T12:15:37+00:00 | EU announces plan to reduce reliance on China for microchips | positive | 0.7647543 |
| 2022-02-10T11:51:16+00:00 | Defence Budget 2022: Gearing up India’s domestic military-industrial complex | positive | 0.9448556 |
| 2022-02-10T11:38:50+00:00 | Ensign Peak Advisors Inc Reduces Stock Holdings in Reliance Steel & Aluminum Co. (NYSE:RS) | negative | 0.7021736 |
| 2022-02-10T11:01:07+00:00 | Pacific Basin Shipping : Positive Profit Alert | neutral | 0.8886210 |
| 2022-02-11T22:05:38+00:00 | Allianz launches $235 million bid for Greece’s European Reliance | neutral | 0.7499394 |
| 2022-02-11T22:04:33+00:00 | Allianz launches $235 million bid for Greece’s European Reliance | neutral | 0.5843374 |
| 2022-02-11T20:49:10+00:00 | Allianz : announces share purchase agreements to acquire 72 percent of European Reliance; Launch of a voluntary tender offer for the European Reliance shares outstanding (English only) | positive | 0.9127130 |
| 2022-02-11T20:49:07+00:00 | Allianz : announces share purchase agreements to acquire 72 percent of European Reliance; Launch of a voluntary tender offer for European Reliance shares outstanding | neutral | 0.6736712 |
| 2022-02-11T19:49:20+00:00 | European Reliance General Insurance S A : ANNOUNCEMENT FOR IMPORTANT EVENTS | neutral | 0.9395397 |
| 2022-02-11T19:49:20+00:00 | European Reliance General Insurance S A : Announcement 805/2022 (no English translation available) | neutral | 0.9483758 |
| 2022-02-11T18:38:13+00:00 | Reliance Industries : Presentation for Equity Shareholders and Creditors in relation to the Scheme of Arrangement between Reliance Industries Limited & its shareholders and creditors and Reliance Syngas Limited & its shareholders and creditors | neutral | 0.8523414 |
| 2022-02-11T15:35:38+00:00 | Delhi HC to hear Amazon-Future cases over deal with Reliance on Feb 24 | neutral | 0.6716963 |
| 2022-02-11T12:24:28+00:00 | First Aid Kit Packaging Market Analysts Predict Healthy Growth during 2022 – 2028 | Crownhill Packaging, A2B Plastics Ltd., The Durham Manufacturing Company, Reliance Medical, GAGGIONE S.A.S., Fieldtex Products Inc., SYSPAL Ltd | neutral | 0.8637197 |
| 2022-02-11T12:16:25+00:00 | M&M Q3 Review - Near-Term Challenges; Better Traction Ahead: Reliance Securities | positive | 0.9448776 |
| 2022-02-12T21:10:33+00:00 | California Voice: Online gambling measure would hurt Indian tribes | positive | 0.5730277 |
| 2022-02-12T15:11:57+00:00 | India’s Reliance plans to turn syngas into blue hydrogen | neutral | 0.4970485 |
| 2022-02-12T13:05:33+00:00 | Reliance Infrastructure December quarter loss at Rs 107 crore | negative | 0.9670741 |
| 2022-02-12T13:00:48+00:00 | Voya Investment Management LLC Cuts Stock Holdings in Reliance Steel & Aluminum Co. (NYSE:RS) | negative | 0.9700021 |
| 2022-02-12T12:12:43+00:00 | 17,212 Shares in Reliance Steel & Aluminum Co. (NYSE:RS) Bought by Zacks Investment Management | neutral | 0.9192257 |
| 2022-02-12T11:05:41+00:00 | Reliance Industries targets to become world's top blue hydrogen maker | neutral | 0.8942056 |
| 2022-02-12T09:30:56+00:00 | Reliance aims to be world’s largest blue hydrogen maker | neutral | 0.9324523 |
| 2022-02-12T09:08:46+00:00 | India’s Reliance plans to turn syngas into blue hydrogen | neutral | 0.7612016 |
| 2022-02-12T08:56:43+00:00 | India’s Reliance plans to turn syngas into blue hydrogen | neutral | 0.7901378 |
| 2022-02-12T08:31:06+00:00 | Pig culls and fertiliser shortages mean higher prices for British shoppers | negative | 0.9630805 |
| 2022-02-13T23:16:00+00:00 | Declaring ‘Renaisance’ for French Nuclear Industry, French President Promises Up to 14 New Reactors by 2050 | neutral | 0.6261904 |
| 2022-02-13T22:17:00+00:00 | Russia Could Hit U.S. Chip Industry, White House Warns | negative | 0.9075667 |
| 2022-02-13T18:36:02+00:00 | ‘The way the Savior loved’ — new welfare and self-reliance facility dedicated in Tucson metro | neutral | 0.9019971 |
| 2022-02-13T15:34:45+00:00 | Man Group plc Has $37.19 Million Holdings in Reliance Steel & Aluminum Co. (NYSE:RS) | neutral | 0.9467348 |
| 2022-02-13T11:32:07+00:00 | Shanghai Fosun Pharmaceutical : ADOPTION OF EQUITY INCENTIVE SCHEME BY A SUBSIDIARY (H SHARES) | neutral | 0.9387639 |
| 2022-02-13T10:05:37+00:00 | Nine of top-10 most valued firms lose over Rs 1 lakh cr in m-cap, TCS top loser | negative | 0.5725174 |
| 2022-02-13T06:25:37+00:00 | Nine of top-19 most valued firms lose over Rs 1 lakh cr in m-cap, TCS top loser | negative | 0.5272928 |
| 2022-02-13T05:20:08+00:00 | Reliance Infrastructure registers loss at Rs 107 cr in Oct-Dec quarter | negative | 0.9055025 |
| 2022-02-14T21:30:44+00:00 | $5.17 EPS Expected for Reliance Steel & Aluminum Co. (NYSE:RS) This Quarter | neutral | 0.5621266 |
| 2022-02-14T19:53:10+00:00 | J B Chemicals & Pharmaceuticals : Q3 FY22 Investor Presentation | neutral | 0.9465033 |
| 2022-02-14T15:53:41+00:00 | EFG International : Pain in Ukraine | negative | 0.7795762 |
| 2022-02-14T13:50:09+00:00 | Glance raises $200 mn from Jio; announces partnership with Reliance Retail | positive | 0.8377534 |
| 2022-02-14T13:41:09+00:00 | Jio Platforms invests $200 million in Google-backed Glance | positive | 0.7043822 |
| 2022-02-14T13:33:07+00:00 | Reliance Industries : Jio Platforms to Invest US$200 Million in Glance | negative | 0.7260566 |
| 2022-02-14T13:25:34+00:00 | Glance raises $200mn from Jio Platforms; partners with Reliance Retail | positive | 0.8441820 |
| 2022-02-14T13:15:45+00:00 | Reliance invests $200 million in InMobi’s Glance | neutral | 0.9313170 |
| 2022-02-14T13:13:34+00:00 | Reliance invests $200 million in InMobi’s Glance | neutral | 0.8158841 |
| 2022-02-14T13:12:36+00:00 | Reliance invests $200 mln in InMobi’s Glance | positive | 0.6190965 |
| 2022-02-15T21:12:02+00:00 | First Trust Dynamic Europe Equity Income Fund Issues Notice Regarding February 2022 Distribution | neutral | 0.9250513 |
| 2022-02-15T21:11:01+00:00 | First Trust Energy Infrastructure Fund Issues Notice Regarding February 2022 Distribution | neutral | 0.9052618 |
| 2022-02-15T16:38:55+00:00 | Reliance Global Group Inc (NASDAQ:RELI) Short Interest Update | negative | 0.9708554 |
| 2022-02-15T14:17:56+00:00 | End reliance on fossil fuels for public health, medical professionals say | negative | 0.6977459 |
| 2022-02-15T13:51:47+00:00 | After Glance, InMobi’s Roposo to enter business deal with Reliance Retail | positive | 0.8704445 |
| 2022-02-15T12:07:30+00:00 | Shoucheng : VOLUNTARY ANNOUNCEMENT - SHARE BUY-BACK PROGRAM | neutral | 0.9136812 |
| 2022-02-15T12:07:30+00:00 | Shoucheng : DECLARATION OF SPECIAL DIVIDEND AND CLOSURE OF REGISTER OF MEMBERS | neutral | 0.7906951 |
| 2022-02-15T12:07:30+00:00 | Shoucheng : APPOINTMENT OF VICE CHAIRMAN | neutral | 0.9024565 |
| 2022-02-15T12:02:04+00:00 | New Garmin Boat Switch offers premium digital switching features for more boaters than ever before | positive | 0.7543796 |
| 2022-02-15T11:16:01+00:00 | Worst drought in 30 years threatens Morocco’s harvest | negative | 0.9421806 |
# Thống kê mô tả về biến thang điểm tình cảm trong dữ liệu về tin tức
summary(news$sentiment_score)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.3569 0.7598 0.8937 0.8313 0.9309 0.9757
hist(news$sentiment_score)
Qua
thống kê mô tả cho thấy, trong giai đoạn nghiên cứu, số điểm từ các từ/
cụm từ xuất hiện trong tin tức thu thập được, được tính ra dựa trên
phương pháp đo lường tình cảm theo từ điển tâm lý Harvard. Số điểm thấp
nhất ghi nhận được là 0.3569 điểm, số điểm cao nhất là 0.9757 điểm,
trung bình số điểm ghi nhận được từ phương pháp trên là 0.8313 điểm.
Tần suất xuất hiện của điểm số cho thấy, đa số các bài viết thể hiện trạng thái đối với nội dung trong bài viết là tích cực, tiêu cực hay cả trung lập ở mức độ từ 0.8- 0.9 điểm. Một số ít bài viết thể hiện thái độ tích cực, tiêu cực hay trung lập thấp hơn rơi vào khoảng 0.4- 0.5 điểm. Điều này cho thấy, tác giả thể hiện rất rõ thái độ của mình trong các bài viết.
Date: Ngày giao dịch.
Close: Giá đóng cửa của cổ phiếu.
Volume: Khối lượng giao dịch trong một phiên.
# Dữ liệu về chỉ số chứng khoán
library(kableExtra)
library(knitr)
X <- read.csv("C:/Users/MSII/Documents/qualitative data/reliance_stock_history (1).csv")
knitr::kable(X, format = "html") %>%
kable_styling(full_width = TRUE) %>%
scroll_box(width = "100%", height = "300px")
| Date | Close | Volume |
|---|---|---|
| 10/21/2021 | 2622.50 | 9612230 |
| 10/22/2021 | 2627.40 | 5086641 |
| 10/25/2021 | 2601.80 | 7934786 |
| 10/26/2021 | 2661.05 | 4498720 |
| 10/27/2021 | 2627.40 | 4565815 |
| 10/28/2021 | 2598.60 | 4562471 |
| 10/29/2021 | 2536.25 | 6568539 |
| 11/1/2021 | 2537.80 | 7144150 |
| 11/2/2021 | 2500.80 | 4874582 |
| 11/3/2021 | 2483.60 | 5530635 |
| 11/4/2021 | 2498.85 | 787160 |
| 11/8/2021 | 2501.95 | 9384733 |
| 11/9/2021 | 2521.70 | 7236552 |
| 11/10/2021 | 2549.90 | 4731328 |
| 11/11/2021 | 2554.55 | 4946305 |
| 12/3/2021 | 2408.25 | 8871172 |
| 12/6/2021 | 2362.60 | 4766974 |
| 12/7/2021 | 2381.85 | 5183409 |
| 12/8/2021 | 2418.10 | 4034341 |
| 12/9/2021 | 2456.45 | 6097126 |
| 12/10/2021 | 2458.95 | 3860176 |
| 12/13/2021 | 2411.45 | 5952396 |
| 12/14/2021 | 2380.15 | 5993389 |
| 12/15/2021 | 2373.20 | 4321697 |
| 12/16/2021 | 2403.90 | 4504519 |
| 12/17/2021 | 2340.45 | 9714489 |
| 12/23/2021 | 2365.25 | 4185594 |
| 12/24/2021 | 2372.80 | 3639616 |
| 12/27/2021 | 2370.25 | 1852732 |
| 12/28/2021 | 2398.40 | 2933055 |
| 12/29/2021 | 2402.50 | 7117041 |
| 12/30/2021 | 2359.10 | 13536180 |
| 12/31/2021 | 2368.15 | 4373768 |
| 1/19/2022 | 2521.60 | 4500486 |
| 1/20/2022 | 2477.45 | 7611477 |
| 1/21/2022 | 2477.85 | 6155759 |
| 1/24/2022 | 2377.90 | 10090314 |
| 1/25/2022 | 2373.25 | 11311456 |
| 1/27/2022 | 2338.10 | 9238200 |
| 1/28/2022 | 2335.85 | 6769154 |
| 1/31/2022 | 2386.60 | 5602820 |
| 2/1/2022 | 2378.70 | 6088821 |
| 2/3/2022 | 2352.75 | 4415710 |
| 2/4/2022 | 2331.30 | 5104761 |
| 2/7/2022 | 2317.10 | 4943289 |
| 2/8/2022 | 2356.05 | 5564589 |
| 2/9/2022 | 2383.50 | 5298451 |
| 2/10/2022 | 2381.05 | 5746696 |
| 2/11/2022 | 2376.40 | 7357863 |
| 2/14/2022 | 2338.55 | 4944759 |
| 2/15/2022 | 2417.95 | 5173323 |
# Mô tả về dữ liệu
str(X)
## 'data.frame': 51 obs. of 3 variables:
## $ Date : chr "10/21/2021" "10/22/2021" "10/25/2021" "10/26/2021" ...
## $ Close : num 2622 2627 2602 2661 2627 ...
## $ Volume: int 9612230 5086641 7934786 4498720 4565815 4562471 6568539 7144150 4874582 5530635 ...
#Đồ thị đường của giá đóng cửa của cổ phiếu X
date <- as.Date(X$Date, format = "%m/%d/%Y")
close <- X$Close
library(ggplot2)
ggplot(X) +
geom_line(aes(x = date, y = close, color = "Close")) +
labs(x = "date", y = "close", title = "Close Price Over Time", color = "Close") +
scale_color_manual(values = c("Close" = "blue"))
Đồ thị cho thấy giá cổ phiếu X có nhiều biến động trong quá khứ. Giai đoạn tháng 10/2021 giá cổ phiếu X khá cao sau đó giảm về lại ngưỡng 2500USD. Sau một giai đoạn ngắn phục hồi nhẹ, giá lại giảm sâu về ngưỡng 2300- 2400USD vào tháng 12. Vào giai đoạn cuối tháng 1, đầu tháng 2/ 2022 cổ phiếu X gặp cú sốc giá tăng mạnh đến ngưỡng hơn 2500USD rồi lại giảm sâu đột ngột về dưới 2350USD và dao động xung quanh từ ngưỡng này đến 2400USD cho đến tháng 2.
#Thống kê mô tả biến giá đóng cửa cổ phiếu X
library(fBasics)
basicStats(X$Close)
## X..X.Close
## nobs 51.000000
## NAs 0.000000
## Minimum 2317.100098
## Maximum 2661.050049
## 1. Quartile 2371.525024
## 3. Quartile 2501.375000
## Mean 2438.782361
## Median 2402.500000
## Sum 124377.900392
## SE Mean 13.096297
## LCL Mean 2412.477675
## UCL Mean 2465.087046
## Variance 8747.162157
## Stdev 93.526265
## Skewness 0.789011
## Kurtosis -0.615469
Qua thống kê mô tả ta có thể thấy, trong giai đoạn nghiên cứu, giá đóng cửa thấp nhất từng xuất hiện của cổ phiếu X là 2317(USD), giá cao nhất là 2661(USD), trung bình giá cổ phiếu X là 2439(USD).
#Đồ thị đường của khối lượng giao dịch cổ phiếu X
date <- as.Date(X$Date, format = "%m/%d/%Y")
volume <- X$Volume
library(ggplot2)
ggplot(X) +
geom_line(aes(x = date, y = volume, color = "Volume")) +
labs(x = "date", y = "Volume", title = "Volume Of X Over Time", color = "Volume") +
scale_color_manual(values = c("Volume" = "yellow"))
Đồ thị cho thấy khối lượng giao dịch của cổ phiếu X không ổn định, cổ phiếu có khối lượng giao dịch khá biến động qua thời gian. Khối lượng cổ phiếu giảm sâu sau đó lại tăng mạnh đột ngột vào đầu 11/ 2021. Khối lượng tiếp tục biến động với biên độ dao động rộng, biến động mạnh tiếp theo là cuối tháng 12/2021, đầu tháng 1/2022 và đầu tháng 2/2022.
#Thống kê mô tả biến khối lượng giao dịch trong một phiên của cổ phiếu X
library(fBasics)
basicStats(X$Volume)
## X..X.Volume
## nobs 51.000000
## NAs 0.000000
## Minimum 787160.000000
## Maximum 13536180.000000
## 1. Quartile 4533495.000000
## 3. Quartile 7130595.500000
## Mean 5967063.705882
## Median 5298451.000000
## Sum 304320249.000000
## SE Mean 327622.061195
## LCL Mean 5309015.429544
## UCL Mean 6625111.982221
## Variance 5474146964070.731445
## Stdev 2339689.501637
## Skewness 0.869624
## Kurtosis 1.143624
Qua thống kê mô tả ta có thể thấy, trong giai đoạn nghiên cứu, phiên giao dịch có khối lượng giao dịch thấp nhất đạt 787160 cổ phiếu, cao nhất có khối lượng 13536180 cổ phiếu, trung bình cổ phiếu có khối lương giao dịch là 5967064 cổ phiếu.
Note that the echo = FALSE parameter was added to the
code chunk to prevent printing of the R code that generated the
plot.