# set the environment
Packages <- c("dplyr", "tidyverse","treemap","RColorBrewer","highcharter","readr","plotly")
lapply(Packages, library, character.only = TRUE)
##
## 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
## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
## ✓ ggplot2 3.3.5 ✓ purrr 0.3.4
## ✓ tibble 3.1.2 ✓ stringr 1.4.0
## ✓ tidyr 1.1.3 ✓ forcats 0.5.1
## ✓ readr 1.4.0
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
## Registered S3 method overwritten by 'quantmod':
## method from
## as.zoo.data.frame zoo
##
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
##
## last_plot
## The following object is masked from 'package:stats':
##
## filter
## The following object is masked from 'package:graphics':
##
## layout
## [[1]]
## [1] "dplyr" "stats" "graphics" "grDevices" "utils" "datasets"
## [7] "methods" "base"
##
## [[2]]
## [1] "forcats" "stringr" "purrr" "readr" "tidyr" "tibble"
## [7] "ggplot2" "tidyverse" "dplyr" "stats" "graphics" "grDevices"
## [13] "utils" "datasets" "methods" "base"
##
## [[3]]
## [1] "treemap" "forcats" "stringr" "purrr" "readr" "tidyr"
## [7] "tibble" "ggplot2" "tidyverse" "dplyr" "stats" "graphics"
## [13] "grDevices" "utils" "datasets" "methods" "base"
##
## [[4]]
## [1] "RColorBrewer" "treemap" "forcats" "stringr" "purrr"
## [6] "readr" "tidyr" "tibble" "ggplot2" "tidyverse"
## [11] "dplyr" "stats" "graphics" "grDevices" "utils"
## [16] "datasets" "methods" "base"
##
## [[5]]
## [1] "highcharter" "RColorBrewer" "treemap" "forcats" "stringr"
## [6] "purrr" "readr" "tidyr" "tibble" "ggplot2"
## [11] "tidyverse" "dplyr" "stats" "graphics" "grDevices"
## [16] "utils" "datasets" "methods" "base"
##
## [[6]]
## [1] "highcharter" "RColorBrewer" "treemap" "forcats" "stringr"
## [6] "purrr" "readr" "tidyr" "tibble" "ggplot2"
## [11] "tidyverse" "dplyr" "stats" "graphics" "grDevices"
## [16] "utils" "datasets" "methods" "base"
##
## [[7]]
## [1] "plotly" "highcharter" "RColorBrewer" "treemap" "forcats"
## [6] "stringr" "purrr" "readr" "tidyr" "tibble"
## [11] "ggplot2" "tidyverse" "dplyr" "stats" "graphics"
## [16] "grDevices" "utils" "datasets" "methods" "base"
getwd()
## [1] "/Users/shenjiayuan/Documents/INST 314"
a = read.csv('GSS-Lab-9.17.csv')
str(a)
## 'data.frame': 2936 obs. of 10 variables:
## $ Year : int 2016 2016 2016 2016 2016 2016 2016 2016 2016 2016 ...
## $ ID : int 2 16 19 20 21 24 29 32 33 36 ...
## $ Hours_wkd : chr "42" "42" "40" "40" ...
## $ Occupation : chr "Machinists" "Designers" "Elementary and middle school teachers" "Insurance claims and policy processing clerks" ...
## $ Age : chr "61" "33" "31" "43" ...
## $ Educ : chr "12" "13" "18" "13" ...
## $ Sex : chr "Male" "Female" "Male" "Male" ...
## $ Income : chr "$25000 or more" "$25000 or more" "$25000 or more" "$25000 or more" ...
## $ income_recode: int 25000 25000 25000 25000 25000 25000 25000 25000 25000 25000 ...
## $ educ_recode : chr "1_hs" "2_some_college" "4_Advanced" "2_some_college" ...
#clean the dataset
names(a) <- tolower(names(a))
names(a) <- gsub(" ","",names(a))
str(a)
## 'data.frame': 2936 obs. of 10 variables:
## $ year : int 2016 2016 2016 2016 2016 2016 2016 2016 2016 2016 ...
## $ id : int 2 16 19 20 21 24 29 32 33 36 ...
## $ hours_wkd : chr "42" "42" "40" "40" ...
## $ occupation : chr "Machinists" "Designers" "Elementary and middle school teachers" "Insurance claims and policy processing clerks" ...
## $ age : chr "61" "33" "31" "43" ...
## $ educ : chr "12" "13" "18" "13" ...
## $ sex : chr "Male" "Female" "Male" "Male" ...
## $ income : chr "$25000 or more" "$25000 or more" "$25000 or more" "$25000 or more" ...
## $ income_recode: int 25000 25000 25000 25000 25000 25000 25000 25000 25000 25000 ...
## $ educ_recode : chr "1_hs" "2_some_college" "4_Advanced" "2_some_college" ...
# set the filter for 2016
q1f2016 = a %>%
filter(income_recode>0 & sex == 'Female'&year == 2016)%>%
summarize(tot_pay_f_2016 = mean(income_recode))
q1f2016
## tot_pay_f_2016
## 1 19199.27
q1m2016 = a %>%
filter(income_recode>0 & sex == 'Male'& year == 2016)%>%
summarize(tot_pay_m_2016 = mean(income_recode))
q1m2016
## tot_pay_m_2016
## 1 21204.46
# set the filter for 2018
q1f2018 = a %>%
filter(income_recode>0 & sex == 'Female'&year == 2018)%>%
summarize(tot_pay_f_2018 = mean(income_recode))
q1f2018
## tot_pay_f_2018
## 1 19304.41
q1m2018 = a %>%
filter(income_recode>0 & sex == 'Male'& year == 2018)%>%
summarize(tot_pay_m_2018 = mean(income_recode))
q1m2018
## tot_pay_m_2018
## 1 21651.14
q1 = a %>%
filter(income_recode>0 )%>%
arrange(desc(income_recode))
ggplot(data = q1) +
geom_bar(mapping = aes(x = income_recode, fill =sex),position = "dodge")+
xlab("Income") +
ylab("Frequency") +
ggtitle("Men, in general, earn more money than women?")
age = c(q1f2016,q1f2018,q1m2016,q1m2018)
d = data.frame(age)
d
## tot_pay_f_2016 tot_pay_f_2018 tot_pay_m_2016 tot_pay_m_2018
## 1 19199.27 19304.41 21204.46 21651.14
ggplot(data = q1) +
geom_bar(mapping = aes(x = income_recode, fill =sex),position = "dodge")+
facet_wrap(~educ_recode)+
xlab("Income") +
ylab("Frequency") +
ggtitle("Even women with similar education levels tend to have lower earnings than men?")
q2 = q1%>%
group_by(educ_recode,sex) %>%
summarize(tot_pay = mean(income_recode), median = median(income_recode), count = n())%>%
arrange(educ_recode)
## `summarise()` has grouped output by 'educ_recode'. You can override using the `.groups` argument.
q2
## # A tibble: 11 x 5
## # Groups: educ_recode [6]
## educ_recode sex tot_pay median count
## <chr> <chr> <dbl> <dbl> <int>
## 1 0 Female 15000 15000 2
## 2 0_no_1_hs Female 12669. 12500 124
## 3 0_no_1_hs Male 18778. 25000 153
## 4 1_hs Female 18012. 22500 376
## 5 1_hs Male 21348. 25000 405
## 6 2_some_college Female 18626. 25000 439
## 7 2_some_college Male 20763. 25000 348
## 8 3_Bachelors Female 21667. 25000 327
## 9 3_Bachelors Male 22798. 25000 260
## 10 4_Advanced Female 22294. 25000 253
## 11 4_Advanced Male 22763. 25000 209
q1$hours_wkd = as.numeric(q1$hours_wkd)
## Warning: NAs introduced by coercion
str(q1)
## 'data.frame': 2896 obs. of 10 variables:
## $ year : int 2016 2016 2016 2016 2016 2016 2016 2016 2016 2016 ...
## $ id : int 2 16 19 20 21 24 29 32 33 36 ...
## $ hours_wkd : num 42 42 40 40 40 NA NA 50 40 40 ...
## $ occupation : chr "Machinists" "Designers" "Elementary and middle school teachers" "Insurance claims and policy processing clerks" ...
## $ age : chr "61" "33" "31" "43" ...
## $ educ : chr "12" "13" "18" "13" ...
## $ sex : chr "Male" "Female" "Male" "Male" ...
## $ income : chr "$25000 or more" "$25000 or more" "$25000 or more" "$25000 or more" ...
## $ income_recode: int 25000 25000 25000 25000 25000 25000 25000 25000 25000 25000 ...
## $ educ_recode : chr "1_hs" "2_some_college" "4_Advanced" "2_some_college" ...
q3 = q1%>%
group_by(sex,hours_wkd) %>%
summarize(tot_pay = mean(income_recode), median = median(income_recode), count = n())%>%
filter(hours_wkd != 'NA')%>%
arrange(hours_wkd)
## `summarise()` has grouped output by 'sex'. You can override using the `.groups` argument.
q3
## # A tibble: 143 x 5
## # Groups: sex [2]
## sex hours_wkd tot_pay median count
## <chr> <dbl> <dbl> <dbl> <int>
## 1 Female 1 24375 25000 4
## 2 Male 1 25000 25000 3
## 3 Female 2 25000 25000 2
## 4 Male 2 25000 25000 1
## 5 Female 3 18400 22500 5
## 6 Male 3 25000 25000 2
## 7 Female 4 2167. 500 3
## 8 Male 4 16833. 25000 3
## 9 Female 5 10625 8000 4
## 10 Male 5 18333. 22500 3
## # … with 133 more rows
ggplot(q3,aes(hours_wkd, tot_pay)) +
geom_point() +
facet_wrap(~sex)
ggtitle("Mortgage Debt Between 2003 and 2018")
## $title
## [1] "Mortgage Debt Between 2003 and 2018"
##
## attr(,"class")
## [1] "labels"
q8 = q1%>%
group_by(sex,occupation,educ_recode) %>%
summarize(tot_pay = mean(income_recode), median = median(income_recode), count = n())%>%
filter(count>10)%>%
arrange(occupation)
## `summarise()` has grouped output by 'sex', 'occupation'. You can override using the `.groups` argument.
q8
## # A tibble: 33 x 6
## # Groups: sex, occupation [24]
## sex occupation educ_recode tot_pay median count
## <chr> <chr> <chr> <dbl> <dbl> <int>
## 1 Male Carpenters 1_hs 20542. 25000 12
## 2 Female Cashiers 0_no_1_hs 9773. 7500 11
## 3 Female Cashiers 1_hs 14692. 12500 13
## 4 Female Childcare workers 2_some_colle… 10864. 12500 11
## 5 Male Construction laborers 1_hs 22591. 25000 11
## 6 Female Customer service representatives 2_some_colle… 15679. 17500 14
## 7 Male Driver/sales workers and truck dri… 1_hs 23400 25000 20
## 8 Male Driver/sales workers and truck dri… 2_some_colle… 20071. 25000 14
## 9 Female Elementary and middle school teach… 3_Bachelors 24333. 25000 15
## 10 Female Elementary and middle school teach… 4_Advanced 23421. 25000 19
## # … with 23 more rows
ggplot(data = q8) +
geom_point(mapping = aes(x = tot_pay,y=count, color =occupation),position = "dodge")+
facet_wrap(~sex)+
xlab("Income") +
ylab("Frequency") +
ggtitle("Even women with similar education levels and profession tend to have lower earnings than men?")
## Warning: Width not defined. Set with `position_dodge(width = ?)`
a1 = q1%>%
filter(grepl('computer',occupation))
a2 = q1%>%
filter(grepl('Computer',occupation))
a1
## year id hours_wkd occupation age educ
## 1 2016 228 40 Network and computer systems administrators 31 16
## 2 2016 248 55 Network and computer systems administrators 49 15
## 3 2016 316 40 Network and computer systems administrators 66 15
## 4 2016 2355 NA Network and computer systems administrators 31 16
## 5 2018 1212 45 Network and computer systems administrators 37 15
## 6 2018 1472 40 Network and computer systems administrators 53 9
## sex income income_recode educ_recode
## 1 Male $25000 or more 25000 3_Bachelors
## 2 Male $25000 or more 25000 2_some_college
## 3 Male $25000 or more 25000 2_some_college
## 4 Male $25000 or more 25000 3_Bachelors
## 5 Male $25000 or more 25000 2_some_college
## 6 Female $25000 or more 25000 0_no_1_hs
a2
## year id hours_wkd occupation
## 1 2016 39 65 Computer and information systems managers
## 2 2016 46 45 Computer network architects
## 3 2016 81 45 Computer and information systems managers
## 4 2016 198 40 Computer support specialists
## 5 2016 284 40 Computer systems analysts
## 6 2016 332 40 Computer occupations, all other
## 7 2016 363 NA Computer systems analysts
## 8 2016 502 NA Computer support specialists
## 9 2016 509 51 Computer systems analysts
## 10 2016 590 40 Computer occupations, all other
## 11 2016 643 45 Computer systems analysts
## 12 2016 663 20 Computer systems analysts
## 13 2016 681 40 Computer, automated teller, and office machine repairers
## 14 2016 729 NA Computer systems analysts
## 15 2016 750 40 Computer support specialists
## 16 2016 941 50 Computer support specialists
## 17 2016 1065 40 Computer control programmers and operators
## 18 2016 1118 NA Computer and information systems managers
## 19 2016 1130 60 Computer operators
## 20 2016 1137 45 Computer occupations, all other
## 21 2016 1167 40 Computer support specialists
## 22 2016 1324 40 Computer operators
## 23 2016 1329 40 Computer support specialists
## 24 2016 1709 NA Computer support specialists
## 25 2016 1859 2 Computer systems analysts
## 26 2016 2087 40 Computer systems analysts
## 27 2016 2137 5 Computer systems analysts
## 28 2016 2157 40 Computer operators
## 29 2016 2193 45 Computer programmers
## 30 2016 2535 49 Computer and information systems managers
## 31 2016 2724 40 Computer programmers
## 32 2018 3 40 Computer network architects
## 33 2018 74 45 Computer programmers
## 34 2018 103 40 Computer and information systems managers
## 35 2018 105 NA Computer programmers
## 36 2018 188 60 Computer systems analysts
## 37 2018 304 40 Computer systems analysts
## 38 2018 355 45 Computer systems analysts
## 39 2018 368 45 Computer systems analysts
## 40 2018 387 35 Computer systems analysts
## 41 2018 395 40 Computer occupations, all other
## 42 2018 463 40 Computer support specialists
## 43 2018 508 40 Computer systems analysts
## 44 2018 514 40 Computer occupations, all other
## 45 2018 598 NA Computer systems analysts
## 46 2018 603 50 Computer support specialists
## 47 2018 831 40 Computer systems analysts
## 48 2018 915 40 Computer programmers
## 49 2018 1092 40 Computer and information systems managers
## 50 2018 1175 42 Computer, automated teller, and office machine repairers
## 51 2018 1702 53 Computer support specialists
## 52 2018 1744 45 Computer and information systems managers
## 53 2018 1913 30 Computer control programmers and operators
## 54 2018 1972 40 Computer, automated teller, and office machine repairers
## 55 2018 2092 45 Computer programmers
## 56 2018 2323 40 Computer, automated teller, and office machine repairers
## 57 2016 2071 NA Computer programmers
## 58 2016 2168 40 Computer occupations, all other
## 59 2018 2302 40 Computer operators
## 60 2016 773 24 Computer support specialists
## 61 2016 2197 42 Computer support specialists
## 62 2018 1112 NA Computer occupations, all other
## 63 2016 652 50 Computer support specialists
## 64 2016 678 40 Computer systems analysts
## age educ sex income income_recode educ_recode
## 1 58 16 Female $25000 or more 25000 3_Bachelors
## 2 28 15 Male $25000 or more 25000 2_some_college
## 3 42 14 Male $25000 or more 25000 2_some_college
## 4 49 16 Male $25000 or more 25000 3_Bachelors
## 5 No answer 13 Female $25000 or more 25000 2_some_college
## 6 60 16 Male $25000 or more 25000 3_Bachelors
## 7 79 16 Male $25000 or more 25000 3_Bachelors
## 8 22 15 Male $25000 or more 25000 2_some_college
## 9 55 16 Female $25000 or more 25000 3_Bachelors
## 10 36 17 Male $25000 or more 25000 4_Advanced
## 11 34 16 Male $25000 or more 25000 3_Bachelors
## 12 36 19 Female $25000 or more 25000 4_Advanced
## 13 30 14 Male $25000 or more 25000 2_some_college
## 14 59 16 Female $25000 or more 25000 3_Bachelors
## 15 35 16 Male $25000 or more 25000 3_Bachelors
## 16 40 17 Male $25000 or more 25000 4_Advanced
## 17 54 12 Male $25000 or more 25000 1_hs
## 18 42 18 Male $25000 or more 25000 4_Advanced
## 19 28 16 Male $25000 or more 25000 3_Bachelors
## 20 38 16 Male $25000 or more 25000 3_Bachelors
## 21 40 15 Male $25000 or more 25000 2_some_college
## 22 63 17 Female $25000 or more 25000 4_Advanced
## 23 32 16 Female $25000 or more 25000 3_Bachelors
## 24 32 14 Female $25000 or more 25000 2_some_college
## 25 71 20 Female $25000 or more 25000 4_Advanced
## 26 42 12 Male $25000 or more 25000 1_hs
## 27 64 16 Male $25000 or more 25000 3_Bachelors
## 28 37 16 Male $25000 or more 25000 3_Bachelors
## 29 29 18 Male $25000 or more 25000 4_Advanced
## 30 54 15 Female $25000 or more 25000 2_some_college
## 31 57 16 Female $25000 or more 25000 3_Bachelors
## 32 42 16 Male $25000 or more 25000 3_Bachelors
## 33 42 20 Female $25000 or more 25000 4_Advanced
## 34 50 18 Male $25000 or more 25000 4_Advanced
## 35 56 18 Male $25000 or more 25000 4_Advanced
## 36 46 16 Male $25000 or more 25000 3_Bachelors
## 37 52 20 Female $25000 or more 25000 4_Advanced
## 38 43 20 Male $25000 or more 25000 4_Advanced
## 39 27 16 Female $25000 or more 25000 3_Bachelors
## 40 30 16 Female $25000 or more 25000 3_Bachelors
## 41 34 0 Male $25000 or more 25000 0_no_1_hs
## 42 43 15 Male $25000 or more 25000 2_some_college
## 43 29 16 Female $25000 or more 25000 3_Bachelors
## 44 54 17 Male $25000 or more 25000 4_Advanced
## 45 58 16 Female $25000 or more 25000 3_Bachelors
## 46 56 13 Male $25000 or more 25000 2_some_college
## 47 50 16 Male $25000 or more 25000 3_Bachelors
## 48 35 10 Male $25000 or more 25000 0_no_1_hs
## 49 39 18 Male $25000 or more 25000 4_Advanced
## 50 31 16 Male $25000 or more 25000 3_Bachelors
## 51 58 16 Male $25000 or more 25000 3_Bachelors
## 52 38 18 Male $25000 or more 25000 4_Advanced
## 53 66 14 Female $25000 or more 25000 2_some_college
## 54 32 16 Male $25000 or more 25000 3_Bachelors
## 55 37 16 Male $25000 or more 25000 3_Bachelors
## 56 43 14 Female $25000 or more 25000 2_some_college
## 57 28 16 Male $20000 - 24999 22500 3_Bachelors
## 58 26 15 Male $20000 - 24999 22500 2_some_college
## 59 28 12 Female $20000 - 24999 22500 1_hs
## 60 51 13 Female $15000 - 19999 17500 2_some_college
## 61 50 20 Male $10000 - 14999 12500 4_Advanced
## 62 48 18 Male $8000 to 9999 9000 4_Advanced
## 63 33 19 Male $7000 to 7999 7500 4_Advanced
## 64 34 18 Male $5000 to 5999 5500 4_Advanced
a3 = rbind(a1,a2)
a3
## year id hours_wkd occupation
## 1 2016 228 40 Network and computer systems administrators
## 2 2016 248 55 Network and computer systems administrators
## 3 2016 316 40 Network and computer systems administrators
## 4 2016 2355 NA Network and computer systems administrators
## 5 2018 1212 45 Network and computer systems administrators
## 6 2018 1472 40 Network and computer systems administrators
## 7 2016 39 65 Computer and information systems managers
## 8 2016 46 45 Computer network architects
## 9 2016 81 45 Computer and information systems managers
## 10 2016 198 40 Computer support specialists
## 11 2016 284 40 Computer systems analysts
## 12 2016 332 40 Computer occupations, all other
## 13 2016 363 NA Computer systems analysts
## 14 2016 502 NA Computer support specialists
## 15 2016 509 51 Computer systems analysts
## 16 2016 590 40 Computer occupations, all other
## 17 2016 643 45 Computer systems analysts
## 18 2016 663 20 Computer systems analysts
## 19 2016 681 40 Computer, automated teller, and office machine repairers
## 20 2016 729 NA Computer systems analysts
## 21 2016 750 40 Computer support specialists
## 22 2016 941 50 Computer support specialists
## 23 2016 1065 40 Computer control programmers and operators
## 24 2016 1118 NA Computer and information systems managers
## 25 2016 1130 60 Computer operators
## 26 2016 1137 45 Computer occupations, all other
## 27 2016 1167 40 Computer support specialists
## 28 2016 1324 40 Computer operators
## 29 2016 1329 40 Computer support specialists
## 30 2016 1709 NA Computer support specialists
## 31 2016 1859 2 Computer systems analysts
## 32 2016 2087 40 Computer systems analysts
## 33 2016 2137 5 Computer systems analysts
## 34 2016 2157 40 Computer operators
## 35 2016 2193 45 Computer programmers
## 36 2016 2535 49 Computer and information systems managers
## 37 2016 2724 40 Computer programmers
## 38 2018 3 40 Computer network architects
## 39 2018 74 45 Computer programmers
## 40 2018 103 40 Computer and information systems managers
## 41 2018 105 NA Computer programmers
## 42 2018 188 60 Computer systems analysts
## 43 2018 304 40 Computer systems analysts
## 44 2018 355 45 Computer systems analysts
## 45 2018 368 45 Computer systems analysts
## 46 2018 387 35 Computer systems analysts
## 47 2018 395 40 Computer occupations, all other
## 48 2018 463 40 Computer support specialists
## 49 2018 508 40 Computer systems analysts
## 50 2018 514 40 Computer occupations, all other
## 51 2018 598 NA Computer systems analysts
## 52 2018 603 50 Computer support specialists
## 53 2018 831 40 Computer systems analysts
## 54 2018 915 40 Computer programmers
## 55 2018 1092 40 Computer and information systems managers
## 56 2018 1175 42 Computer, automated teller, and office machine repairers
## 57 2018 1702 53 Computer support specialists
## 58 2018 1744 45 Computer and information systems managers
## 59 2018 1913 30 Computer control programmers and operators
## 60 2018 1972 40 Computer, automated teller, and office machine repairers
## 61 2018 2092 45 Computer programmers
## 62 2018 2323 40 Computer, automated teller, and office machine repairers
## 63 2016 2071 NA Computer programmers
## 64 2016 2168 40 Computer occupations, all other
## 65 2018 2302 40 Computer operators
## 66 2016 773 24 Computer support specialists
## 67 2016 2197 42 Computer support specialists
## 68 2018 1112 NA Computer occupations, all other
## 69 2016 652 50 Computer support specialists
## 70 2016 678 40 Computer systems analysts
## age educ sex income income_recode educ_recode
## 1 31 16 Male $25000 or more 25000 3_Bachelors
## 2 49 15 Male $25000 or more 25000 2_some_college
## 3 66 15 Male $25000 or more 25000 2_some_college
## 4 31 16 Male $25000 or more 25000 3_Bachelors
## 5 37 15 Male $25000 or more 25000 2_some_college
## 6 53 9 Female $25000 or more 25000 0_no_1_hs
## 7 58 16 Female $25000 or more 25000 3_Bachelors
## 8 28 15 Male $25000 or more 25000 2_some_college
## 9 42 14 Male $25000 or more 25000 2_some_college
## 10 49 16 Male $25000 or more 25000 3_Bachelors
## 11 No answer 13 Female $25000 or more 25000 2_some_college
## 12 60 16 Male $25000 or more 25000 3_Bachelors
## 13 79 16 Male $25000 or more 25000 3_Bachelors
## 14 22 15 Male $25000 or more 25000 2_some_college
## 15 55 16 Female $25000 or more 25000 3_Bachelors
## 16 36 17 Male $25000 or more 25000 4_Advanced
## 17 34 16 Male $25000 or more 25000 3_Bachelors
## 18 36 19 Female $25000 or more 25000 4_Advanced
## 19 30 14 Male $25000 or more 25000 2_some_college
## 20 59 16 Female $25000 or more 25000 3_Bachelors
## 21 35 16 Male $25000 or more 25000 3_Bachelors
## 22 40 17 Male $25000 or more 25000 4_Advanced
## 23 54 12 Male $25000 or more 25000 1_hs
## 24 42 18 Male $25000 or more 25000 4_Advanced
## 25 28 16 Male $25000 or more 25000 3_Bachelors
## 26 38 16 Male $25000 or more 25000 3_Bachelors
## 27 40 15 Male $25000 or more 25000 2_some_college
## 28 63 17 Female $25000 or more 25000 4_Advanced
## 29 32 16 Female $25000 or more 25000 3_Bachelors
## 30 32 14 Female $25000 or more 25000 2_some_college
## 31 71 20 Female $25000 or more 25000 4_Advanced
## 32 42 12 Male $25000 or more 25000 1_hs
## 33 64 16 Male $25000 or more 25000 3_Bachelors
## 34 37 16 Male $25000 or more 25000 3_Bachelors
## 35 29 18 Male $25000 or more 25000 4_Advanced
## 36 54 15 Female $25000 or more 25000 2_some_college
## 37 57 16 Female $25000 or more 25000 3_Bachelors
## 38 42 16 Male $25000 or more 25000 3_Bachelors
## 39 42 20 Female $25000 or more 25000 4_Advanced
## 40 50 18 Male $25000 or more 25000 4_Advanced
## 41 56 18 Male $25000 or more 25000 4_Advanced
## 42 46 16 Male $25000 or more 25000 3_Bachelors
## 43 52 20 Female $25000 or more 25000 4_Advanced
## 44 43 20 Male $25000 or more 25000 4_Advanced
## 45 27 16 Female $25000 or more 25000 3_Bachelors
## 46 30 16 Female $25000 or more 25000 3_Bachelors
## 47 34 0 Male $25000 or more 25000 0_no_1_hs
## 48 43 15 Male $25000 or more 25000 2_some_college
## 49 29 16 Female $25000 or more 25000 3_Bachelors
## 50 54 17 Male $25000 or more 25000 4_Advanced
## 51 58 16 Female $25000 or more 25000 3_Bachelors
## 52 56 13 Male $25000 or more 25000 2_some_college
## 53 50 16 Male $25000 or more 25000 3_Bachelors
## 54 35 10 Male $25000 or more 25000 0_no_1_hs
## 55 39 18 Male $25000 or more 25000 4_Advanced
## 56 31 16 Male $25000 or more 25000 3_Bachelors
## 57 58 16 Male $25000 or more 25000 3_Bachelors
## 58 38 18 Male $25000 or more 25000 4_Advanced
## 59 66 14 Female $25000 or more 25000 2_some_college
## 60 32 16 Male $25000 or more 25000 3_Bachelors
## 61 37 16 Male $25000 or more 25000 3_Bachelors
## 62 43 14 Female $25000 or more 25000 2_some_college
## 63 28 16 Male $20000 - 24999 22500 3_Bachelors
## 64 26 15 Male $20000 - 24999 22500 2_some_college
## 65 28 12 Female $20000 - 24999 22500 1_hs
## 66 51 13 Female $15000 - 19999 17500 2_some_college
## 67 50 20 Male $10000 - 14999 12500 4_Advanced
## 68 48 18 Male $8000 to 9999 9000 4_Advanced
## 69 33 19 Male $7000 to 7999 7500 4_Advanced
## 70 34 18 Male $5000 to 5999 5500 4_Advanced
a4 = subset(a3, sex == 'Male')%>%group_by(educ_recode)%>% summarize(tot_pay = mean(income_recode), median = median(income_recode), count = n())
a5 = subset(a3,sex == 'Female')%>%group_by(educ_recode)%>%summarize(tot_pay = mean(income_recode), median = median(income_recode), count = n())
a4
## # A tibble: 5 x 4
## educ_recode tot_pay median count
## <chr> <dbl> <dbl> <int>
## 1 0_no_1_hs 25000 25000 2
## 2 1_hs 25000 25000 2
## 3 2_some_college 24773. 25000 11
## 4 3_Bachelors 24868. 25000 19
## 5 4_Advanced 20321. 25000 14
a5
## # A tibble: 5 x 4
## educ_recode tot_pay median count
## <chr> <dbl> <dbl> <int>
## 1 0_no_1_hs 25000 25000 1
## 2 1_hs 22500 22500 1
## 3 2_some_college 23750 25000 6
## 4 3_Bachelors 25000 25000 9
## 5 4_Advanced 25000 25000 5
ggplot(a4, aes(educ_recode, tot_pay)) +
geom_point(varwidth = TRUE)+ xlab("Education Level") +
ylab("Income measure") +
ggtitle(" Male income in computer area")
## Warning: Ignoring unknown parameters: varwidth
ggplot(a5, aes(educ_recode, tot_pay)) +
geom_point(varwidth = TRUE)+xlab("Education Level") +
ylab("Income measure") +
ggtitle(" Female income in computer area")
## Warning: Ignoring unknown parameters: varwidth
a1 = q1%>%
filter(grepl('worker',occupation))
a2 = q1%>%
filter(grepl('Workerr',occupation))
a1
## year id hours_wkd
## 1 2016 32 50
## 2 2016 44 45
## 3 2016 56 35
## 4 2016 86 48
## 5 2016 96 NA
## 6 2016 101 37
## 7 2016 127 40
## 8 2016 151 60
## 9 2016 159 40
## 10 2016 176 40
## 11 2016 179 16
## 12 2016 216 NA
## 13 2016 219 45
## 14 2016 229 40
## 15 2016 244 48
## 16 2016 256 NA
## 17 2016 269 52
## 18 2016 286 75
## 19 2016 293 55
## 20 2016 295 46
## 21 2016 306 40
## 22 2016 327 50
## 23 2016 337 60
## 24 2016 338 1
## 25 2016 349 41
## 26 2016 358 42
## 27 2016 365 60
## 28 2016 384 40
## 29 2016 391 NA
## 30 2016 394 60
## 31 2016 401 40
## 32 2016 410 35
## 33 2016 430 32
## 34 2016 434 40
## 35 2016 448 40
## 36 2016 466 10
## 37 2016 475 40
## 38 2016 497 45
## 39 2016 510 45
## 40 2016 514 40
## 41 2016 515 48
## 42 2016 564 42
## 43 2016 569 50
## 44 2016 572 NA
## 45 2016 581 25
## 46 2016 583 24
## 47 2016 599 NA
## 48 2016 665 40
## 49 2016 685 NA
## 50 2016 722 68
## 51 2016 742 58
## 52 2016 752 40
## 53 2016 785 55
## 54 2016 824 50
## 55 2016 825 50
## 56 2016 829 62
## 57 2016 830 61
## 58 2016 838 64
## 59 2016 849 50
## 60 2016 889 30
## 61 2016 903 65
## 62 2016 909 45
## 63 2016 926 89
## 64 2016 934 50
## 65 2016 954 60
## 66 2016 962 40
## 67 2016 1009 50
## 68 2016 1028 46
## 69 2016 1046 52
## 70 2016 1057 40
## 71 2016 1061 50
## 72 2016 1092 40
## 73 2016 1095 40
## 74 2016 1097 55
## 75 2016 1106 55
## 76 2016 1113 8
## 77 2016 1134 58
## 78 2016 1136 40
## 79 2016 1163 70
## 80 2016 1166 NA
## 81 2016 1193 40
## 82 2016 1196 50
## 83 2016 1197 40
## 84 2016 1211 60
## 85 2016 1229 NA
## 86 2016 1230 50
## 87 2016 1236 40
## 88 2016 1238 40
## 89 2016 1258 55
## 90 2016 1286 NA
## 91 2016 1292 60
## 92 2016 1335 NA
## 93 2016 1340 35
## 94 2016 1373 50
## 95 2016 1389 65
## 96 2016 1406 86
## 97 2016 1419 45
## 98 2016 1421 40
## 99 2016 1432 40
## 100 2016 1434 40
## 101 2016 1451 40
## 102 2016 1477 NA
## 103 2016 1500 60
## 104 2016 1513 50
## 105 2016 1565 54
## 106 2016 1589 50
## 107 2016 1591 NA
## 108 2016 1593 NA
## 109 2016 1600 40
## 110 2016 1617 40
## 111 2016 1618 35
## 112 2016 1663 40
## 113 2016 1664 40
## 114 2016 1678 60
## 115 2016 1692 47
## 116 2016 1706 40
## 117 2016 1711 NA
## 118 2016 1714 56
## 119 2016 1735 40
## 120 2016 1736 NA
## 121 2016 1813 4
## 122 2016 1816 30
## 123 2016 1827 40
## 124 2016 1835 40
## 125 2016 1844 65
## 126 2016 1846 40
## 127 2016 1858 40
## 128 2016 1906 40
## 129 2016 1913 46
## 130 2016 1929 40
## 131 2016 1951 56
## 132 2016 2008 60
## 133 2016 2009 40
## 134 2016 2010 48
## 135 2016 2029 NA
## 136 2016 2058 35
## 137 2016 2059 22
## 138 2016 2067 NA
## 139 2016 2084 72
## 140 2016 2100 10
## 141 2016 2108 25
## 142 2016 2118 50
## 143 2016 2134 44
## 144 2016 2142 42
## 145 2016 2143 45
## 146 2016 2166 40
## 147 2016 2188 20
## 148 2016 2192 46
## 149 2016 2234 40
## 150 2016 2241 47
## 151 2016 2275 40
## 152 2016 2305 40
## 153 2016 2319 40
## 154 2016 2341 32
## 155 2016 2352 50
## 156 2016 2373 60
## 157 2016 2385 65
## 158 2016 2388 NA
## 159 2016 2391 40
## 160 2016 2394 47
## 161 2016 2417 40
## 162 2016 2430 39
## 163 2016 2458 40
## 164 2016 2479 NA
## 165 2016 2490 NA
## 166 2016 2502 40
## 167 2016 2528 40
## 168 2016 2542 NA
## 169 2016 2547 57
## 170 2016 2568 40
## 171 2016 2571 50
## 172 2016 2578 NA
## 173 2016 2579 40
## 174 2016 2585 65
## 175 2016 2592 NA
## 176 2016 2638 40
## 177 2016 2645 50
## 178 2016 2677 75
## 179 2016 2679 56
## 180 2016 2682 40
## 181 2016 2684 50
## 182 2016 2734 45
## 183 2016 2756 38
## 184 2016 2764 40
## 185 2016 2776 40
## 186 2016 2777 60
## 187 2016 2810 40
## 188 2016 2852 60
## 189 2016 2863 30
## 190 2018 84 40
## 191 2018 91 NA
## 192 2018 98 NA
## 193 2018 115 40
## 194 2018 141 40
## 195 2018 157 52
## 196 2018 190 60
## 197 2018 196 45
## 198 2018 199 40
## 199 2018 202 NA
## 200 2018 207 48
## 201 2018 212 54
## 202 2018 220 45
## 203 2018 228 20
## 204 2018 242 45
## 205 2018 257 48
## 206 2018 260 40
## 207 2018 267 42
## 208 2018 271 50
## 209 2018 279 40
## 210 2018 288 40
## 211 2018 294 40
## 212 2018 332 40
## 213 2018 337 60
## 214 2018 341 40
## 215 2018 364 30
## 216 2018 386 30
## 217 2018 401 32
## 218 2018 410 40
## 219 2018 420 NA
## 220 2018 423 41
## 221 2018 440 45
## 222 2018 446 48
## 223 2018 472 40
## 224 2018 474 57
## 225 2018 491 50
## 226 2018 501 44
## 227 2018 507 50
## 228 2018 523 60
## 229 2018 530 45
## 230 2018 567 40
## 231 2018 574 60
## 232 2018 633 40
## 233 2018 637 40
## 234 2018 642 50
## 235 2018 681 40
## 236 2018 696 60
## 237 2018 708 40
## 238 2018 727 53
## 239 2018 746 50
## 240 2018 749 60
## 241 2018 769 16
## 242 2018 778 50
## 243 2018 840 30
## 244 2018 852 NA
## 245 2018 859 1
## 246 2018 861 60
## 247 2018 884 40
## 248 2018 896 61
## 249 2018 900 56
## 250 2018 903 43
## 251 2018 913 40
## 252 2018 916 45
## 253 2018 960 55
## 254 2018 965 55
## 255 2018 971 25
## 256 2018 977 60
## 257 2018 1016 70
## 258 2018 1018 40
## 259 2018 1026 40
## 260 2018 1029 51
## 261 2018 1058 40
## 262 2018 1075 40
## 263 2018 1095 40
## 264 2018 1096 40
## 265 2018 1123 40
## 266 2018 1137 60
## 267 2018 1142 40
## 268 2018 1190 38
## 269 2018 1213 40
## 270 2018 1214 40
## 271 2018 1219 55
## 272 2018 1261 40
## 273 2018 1302 NA
## 274 2018 1305 40
## 275 2018 1311 30
## 276 2018 1314 40
## 277 2018 1353 NA
## 278 2018 1397 65
## 279 2018 1410 40
## 280 2018 1417 40
## 281 2018 1434 50
## 282 2018 1453 40
## 283 2018 1471 25
## 284 2018 1473 40
## 285 2018 1487 50
## 286 2018 1505 72
## 287 2018 1524 50
## 288 2018 1533 76
## 289 2018 1658 50
## 290 2018 1669 50
## 291 2018 1679 37
## 292 2018 1688 55
## 293 2018 1725 60
## 294 2018 1730 55
## 295 2018 1765 40
## 296 2018 1797 48
## 297 2018 1825 35
## 298 2018 1848 57
## 299 2018 1853 44
## 300 2018 1868 86
## 301 2018 1871 89
## 302 2018 1897 54
## 303 2018 1907 70
## 304 2018 1956 60
## 305 2018 1958 56
## 306 2018 1974 44
## 307 2018 2003 45
## 308 2018 2025 80
## 309 2018 2032 40
## 310 2018 2035 30
## 311 2018 2038 35
## 312 2018 2043 43
## 313 2018 2050 65
## 314 2018 2077 48
## 315 2018 2087 40
## 316 2018 2103 48
## 317 2018 2151 NA
## 318 2018 2153 40
## 319 2018 2228 40
## 320 2018 2248 40
## 321 2018 2273 57
## 322 2018 2286 47
## 323 2016 97 NA
## 324 2016 194 40
## 325 2016 218 50
## 326 2016 242 42
## 327 2016 318 26
## 328 2016 568 50
## 329 2016 624 40
## 330 2016 891 36
## 331 2016 900 50
## 332 2016 1056 40
## 333 2016 1089 70
## 334 2016 1100 32
## 335 2016 1214 42
## 336 2016 1262 40
## 337 2016 1658 40
## 338 2016 1749 65
## 339 2016 1979 40
## 340 2016 2136 42
## 341 2016 2161 42
## 342 2016 2214 40
## 343 2016 2224 15
## 344 2016 2259 40
## 345 2016 2473 40
## 346 2016 2476 40
## 347 2016 2560 44
## 348 2016 2821 40
## 349 2018 62 25
## 350 2018 198 35
## 351 2018 565 40
## 352 2018 726 36
## 353 2018 794 32
## 354 2018 801 NA
## 355 2018 816 28
## 356 2018 843 40
## 357 2018 912 NA
## 358 2018 1044 40
## 359 2018 1201 48
## 360 2018 1254 20
## 361 2018 1439 35
## 362 2018 1535 60
## 363 2018 1639 60
## 364 2018 1651 40
## 365 2018 1738 40
## 366 2018 1891 55
## 367 2018 2068 40
## 368 2018 2287 43
## 369 2018 2313 NA
## 370 2016 89 40
## 371 2016 263 40
## 372 2016 659 60
## 373 2016 670 34
## 374 2016 797 36
## 375 2016 839 NA
## 376 2016 899 6
## 377 2016 998 NA
## 378 2016 1311 36
## 379 2016 1405 60
## 380 2016 1540 NA
## 381 2016 1789 NA
## 382 2016 2033 30
## 383 2016 2282 30
## 384 2016 2397 48
## 385 2016 2480 89
## 386 2016 2530 NA
## 387 2016 2587 NA
## 388 2016 2633 25
## 389 2016 2817 33
## 390 2018 25 15
## 391 2018 482 30
## 392 2018 608 30
## 393 2018 864 NA
## 394 2018 1077 NA
## 395 2018 1364 NA
## 396 2018 1465 40
## 397 2018 1794 51
## 398 2018 1859 40
## 399 2018 1980 40
## 400 2016 4 30
## 401 2016 239 30
## 402 2016 265 28
## 403 2016 282 NA
## 404 2016 527 23
## 405 2016 582 NA
## 406 2016 746 30
## 407 2016 826 NA
## 408 2016 992 40
## 409 2016 1363 55
## 410 2016 1447 20
## 411 2016 1583 37
## 412 2016 1662 30
## 413 2016 1742 NA
## 414 2016 2309 8
## 415 2016 2386 55
## 416 2016 2465 32
## 417 2016 2753 63
## 418 2016 2827 NA
## 419 2016 2843 42
## 420 2018 262 38
## 421 2018 524 25
## 422 2018 787 11
## 423 2018 788 24
## 424 2018 798 89
## 425 2018 821 45
## 426 2018 849 28
## 427 2018 999 36
## 428 2018 1057 44
## 429 2018 1070 50
## 430 2018 1114 40
## 431 2018 1457 40
## 432 2018 1486 NA
## 433 2018 1534 45
## 434 2018 1572 NA
## 435 2018 2081 13
## 436 2018 2254 60
## 437 2016 939 40
## 438 2016 1186 NA
## 439 2016 1686 18
## 440 2016 2344 43
## 441 2016 2750 NA
## 442 2018 357 37
## 443 2018 1604 40
## 444 2018 1955 45
## 445 2018 2141 NA
## 446 2018 2181 30
## 447 2016 1231 40
## 448 2016 1635 50
## 449 2016 1854 50
## 450 2016 2389 30
## 451 2018 815 20
## 452 2018 967 21
## 453 2018 1544 24
## 454 2018 1975 35
## 455 2018 1979 45
## 456 2016 574 50
## 457 2016 733 NA
## 458 2016 1850 30
## 459 2016 2027 NA
## 460 2016 2043 28
## 461 2016 2221 28
## 462 2016 2410 26
## 463 2016 2419 35
## 464 2018 2326 55
## 465 2016 55 4
## 466 2016 180 10
## 467 2016 606 16
## 468 2016 793 NA
## 469 2016 970 NA
## 470 2016 1682 20
## 471 2018 600 38
## 472 2018 841 20
## 473 2018 2263 35
## 474 2016 133 NA
## 475 2016 209 12
## 476 2016 351 30
## 477 2016 699 25
## 478 2016 1750 NA
## 479 2016 1928 32
## 480 2018 610 45
## 481 2018 1125 36
## 482 2016 199 25
## 483 2016 304 68
## 484 2016 975 8
## 485 2016 1003 40
## 486 2016 1890 NA
## 487 2018 1249 40
## 488 2018 1423 NA
## 489 2018 1455 NA
## 490 2018 1699 55
## 491 2018 1828 NA
## 492 2018 1905 40
## 493 2018 2066 20
## 494 2016 53 20
## 495 2016 913 33
## 496 2016 964 7
## 497 2016 1250 45
## 498 2016 1307 9
## 499 2016 2042 22
## 500 2016 2116 19
## 501 2016 2182 NA
## 502 2016 2299 NA
## 503 2016 2363 20
## 504 2016 2390 20
## 505 2016 2549 48
## 506 2016 2856 NA
## 507 2018 9 40
## 508 2018 721 NA
## 509 2018 907 40
## 510 2018 1873 42
## 511 2018 2276 50
## 512 2016 296 27
## 513 2016 731 25
## 514 2016 854 15
## 515 2016 1529 NA
## 516 2016 2174 4
## 517 2016 2763 NA
## 518 2018 1115 10
## 519 2018 1775 40
## 520 2018 1884 40
## 521 2018 2127 NA
## 522 2018 2304 NA
## occupation
## 1 First-line supervisors of gaming workers
## 2 Miscellaneous social scientists and related workers
## 3 Miscellaneous personal appearance workers
## 4 Sales and related workers, all other
## 5 Artists and related workers
## 6 Miscellaneous legal support workers
## 7 First-line supervisors of production and operating workers
## 8 Musicians, singers, and related workers
## 9 Human resources workers
## 10 First-line supervisors of office and administrative support workers
## 11 Athletes, coaches, umpires, and related workers
## 12 Driver/sales workers and truck drivers
## 13 First-line supervisors of construction trades and extraction workers
## 14 First-line supervisors of office and administrative support workers
## 15 Welding, soldering, and brazing workers
## 16 Driver/sales workers and truck drivers
## 17 Driver/sales workers and truck drivers
## 18 Social workers
## 19 Human resources workers
## 20 Maintenance and repair workers, general
## 21 Social workers
## 22 Production workers, all other
## 23 First-line supervisors of retail sales workers
## 24 Production workers, all other
## 25 Cutting workers
## 26 First-line supervisors of office and administrative support workers
## 27 Photographic process workers and processing machine operators
## 28 First-line supervisors of retail sales workers
## 29 Social workers
## 30 Miscellaneous social scientists and related workers
## 31 Grounds maintenance workers
## 32 Human resources workers
## 33 Hazardous materials removal workers
## 34 Insulation workers
## 35 Grounds maintenance workers
## 36 Athletes, coaches, umpires, and related workers
## 37 Human resources workers
## 38 Food preparation workers
## 39 Social workers
## 40 Welding, soldering, and brazing workers
## 41 First-line supervisors of non-retail sales workers
## 42 First-line supervisors of retail sales workers
## 43 Driver/sales workers and truck drivers
## 44 Recreation and fitness workers
## 45 Other installation, maintenance, and repair workers
## 46 Personal care and service workers, all other
## 47 First-line supervisors of retail sales workers
## 48 Religious workers, all other
## 49 Material moving workers, all other
## 50 First-line supervisors of food preparation and serving workers
## 51 Childcare workers
## 52 Miscellaneous personal appearance workers
## 53 Childcare workers
## 54 Miscellaneous legal support workers
## 55 First-line supervisors of retail sales workers
## 56 Material moving workers, all other
## 57 Driver/sales workers and truck drivers
## 58 First-line supervisors of production and operating workers
## 59 Sales and related workers, all other
## 60 Sales and related workers, all other
## 61 Production workers, all other
## 62 Material moving workers, all other
## 63 Human resources workers
## 64 First-line supervisors of construction trades and extraction workers
## 65 Childcare workers
## 66 Driver/sales workers and truck drivers
## 67 Miscellaneous agricultural workers
## 68 First-line supervisors of office and administrative support workers
## 69 Production workers, all other
## 70 Social workers
## 71 Social workers
## 72 First-line supervisors of retail sales workers
## 73 First-line supervisors of housekeeping and janitorial workers
## 74 Welding, soldering, and brazing workers
## 75 Driver/sales workers and truck drivers
## 76 First-line supervisors of office and administrative support workers
## 77 Welding, soldering, and brazing workers
## 78 Welding, soldering, and brazing workers
## 79 Driver/sales workers and truck drivers
## 80 Driver/sales workers and truck drivers
## 81 First-line supervisors of retail sales workers
## 82 First-line supervisors of office and administrative support workers
## 83 Human resources workers
## 84 First-line supervisors of office and administrative support workers
## 85 First-line supervisors of retail sales workers
## 86 Social workers
## 87 Sales and related workers, all other
## 88 Material moving workers, all other
## 89 First-line supervisors of retail sales workers
## 90 Production workers, all other
## 91 First-line supervisors of construction trades and extraction workers
## 92 First-line supervisors of retail sales workers
## 93 Driver/sales workers and truck drivers
## 94 Social workers
## 95 First-line supervisors of production and operating workers
## 96 Maintenance and repair workers, general
## 97 First-line supervisors of office and administrative support workers
## 98 First-line supervisors of non-retail sales workers
## 99 First-line supervisors of food preparation and serving workers
## 100 First-line supervisors of retail sales workers
## 101 First-line supervisors of construction trades and extraction workers
## 102 Office and administrative support workers, all other
## 103 First-line supervisors of non-retail sales workers
## 104 First-line supervisors of non-retail sales workers
## 105 First-line supervisors of construction trades and extraction workers
## 106 First-line supervisors of landscaping, lawn service, and groundskeeping workers
## 107 Highway maintenance workers
## 108 Social workers
## 109 Human resources workers
## 110 Office and administrative support workers, all other
## 111 Human resources workers
## 112 Office and administrative support workers, all other
## 113 Sales and related workers, all other
## 114 Athletes, coaches, umpires, and related workers
## 115 First-line supervisors of office and administrative support workers
## 116 Supervisors of transportation and material moving workers
## 117 Driver/sales workers and truck drivers
## 118 Production workers, all other
## 119 First-line supervisors of retail sales workers
## 120 Driver/sales workers and truck drivers
## 121 Grounds maintenance workers
## 122 Pest control workers
## 123 Social workers
## 124 Driver/sales workers and truck drivers
## 125 First-line supervisors of retail sales workers
## 126 Other installation, maintenance, and repair workers
## 127 Miscellaneous entertainment attendants and related workers
## 128 First-line supervisors of retail sales workers
## 129 First-line supervisors of production and operating workers
## 130 Social workers
## 131 Production workers, all other
## 132 Supervisors of transportation and material moving workers
## 133 Production workers, all other
## 134 Crushing, grinding, polishing, mixing, and blending workers
## 135 Driver/sales workers and truck drivers
## 136 Recreation and fitness workers
## 137 Office and administrative support workers, all other
## 138 Production workers, all other
## 139 Driver/sales workers and truck drivers
## 140 Athletes, coaches, umpires, and related workers
## 141 Childcare workers
## 142 First-line supervisors of food preparation and serving workers
## 143 Prepress technicians and workers
## 144 Human resources workers
## 145 Driver/sales workers and truck drivers
## 146 Welding, soldering, and brazing workers
## 147 Other education, training, and library workers
## 148 Human resources workers
## 149 Grounds maintenance workers
## 150 Driver/sales workers and truck drivers
## 151 Other extraction workers
## 152 Maintenance and repair workers, general
## 153 First-line supervisors of retail sales workers
## 154 First-line supervisors of retail sales workers
## 155 Other education, training, and library workers
## 156 First-line supervisors of office and administrative support workers
## 157 Miscellaneous agricultural workers
## 158 First-line supervisors of farming, fishing, and forestry workers
## 159 First-line supervisors of non-retail sales workers
## 160 Forest and conservation workers
## 161 First-line supervisors of production and operating workers
## 162 First-line supervisors of office and administrative support workers
## 163 Office and administrative support workers, all other
## 164 First-line supervisors of non-retail sales workers
## 165 Artists and related workers
## 166 Social workers
## 167 First-line supervisors of office and administrative support workers
## 168 Driver/sales workers and truck drivers
## 169 Explosives workers, ordnance handling experts, and blasters
## 170 Other installation, maintenance, and repair workers
## 171 Social workers
## 172 Human resources workers
## 173 First-line supervisors of retail sales workers
## 174 Driver/sales workers and truck drivers
## 175 Production workers, all other
## 176 First-line supervisors of food preparation and serving workers
## 177 Supervisors of transportation and material moving workers
## 178 Driver/sales workers and truck drivers
## 179 First-line supervisors of office and administrative support workers
## 180 Welding, soldering, and brazing workers
## 181 Miscellaneous agricultural workers
## 182 First-line supervisors of non-retail sales workers
## 183 Driver/sales workers and truck drivers
## 184 Welding, soldering, and brazing workers
## 185 First-line supervisors of office and administrative support workers
## 186 First-line supervisors of production and operating workers
## 187 Sheet metal workers
## 188 First-line supervisors of retail sales workers
## 189 Miscellaneous media and communication workers
## 190 First-line supervisors of food preparation and serving workers
## 191 Judges, magistrates, and other judicial workers
## 192 Social workers
## 193 Sales and related workers, all other
## 194 Maintenance and repair workers, general
## 195 Sales and related workers, all other
## 196 Food processing workers, all other
## 197 First-line supervisors of non-retail sales workers
## 198 First-line supervisors of office and administrative support workers
## 199 First-line supervisors of retail sales workers
## 200 First-line supervisors of retail sales workers
## 201 First-line supervisors of production and operating workers
## 202 Human resources workers
## 203 Food preparation workers
## 204 First-line supervisors of landscaping, lawn service, and groundskeeping workers
## 205 First-line supervisors of production and operating workers
## 206 Maintenance and repair workers, general
## 207 First-line supervisors of office and administrative support workers
## 208 Metal workers and plastic workers, all other
## 209 First-line supervisors of construction trades and extraction workers
## 210 First-line supervisors of office and administrative support workers
## 211 First-line supervisors of retail sales workers
## 212 Judges, magistrates, and other judicial workers
## 213 Office and administrative support workers, all other
## 214 Miscellaneous legal support workers
## 215 First-line supervisors of office and administrative support workers
## 216 Office and administrative support workers, all other
## 217 First-line supervisors of retail sales workers
## 218 Welding, soldering, and brazing workers
## 219 Social workers
## 220 Production workers, all other
## 221 First-line supervisors of retail sales workers
## 222 First-line supervisors of retail sales workers
## 223 Social workers
## 224 Human resources workers
## 225 First-line supervisors of office and administrative support workers
## 226 Painting workers
## 227 Miscellaneous legal support workers
## 228 Welding, soldering, and brazing workers
## 229 First-line supervisors of non-retail sales workers
## 230 Miscellaneous legal support workers
## 231 Driver/sales workers and truck drivers
## 232 First-line supervisors of office and administrative support workers
## 233 Material moving workers, all other
## 234 Production workers, all other
## 235 First-line supervisors of food preparation and serving workers
## 236 Driver/sales workers and truck drivers
## 237 First-line supervisors of housekeeping and janitorial workers
## 238 Driver/sales workers and truck drivers
## 239 Helpers—installation, maintenance, and repair workers
## 240 Driver/sales workers and truck drivers
## 241 Highway maintenance workers
## 242 Driver/sales workers and truck drivers
## 243 Grounds maintenance workers
## 244 Welding, soldering, and brazing workers
## 245 First-line supervisors of non-retail sales workers
## 246 First-line supervisors of office and administrative support workers
## 247 Religious workers, all other
## 248 Driver/sales workers and truck drivers
## 249 Production workers, all other
## 250 Production workers, all other
## 251 Office and administrative support workers, all other
## 252 First-line supervisors of office and administrative support workers
## 253 Miscellaneous agricultural workers
## 254 First-line supervisors of production and operating workers
## 255 Structural iron and steel workers
## 256 Driver/sales workers and truck drivers
## 257 Maintenance and repair workers, general
## 258 First-line supervisors of office and administrative support workers
## 259 First-line supervisors of construction trades and extraction workers
## 260 Production workers, all other
## 261 Welding, soldering, and brazing workers
## 262 Human resources workers
## 263 First-line supervisors of office and administrative support workers
## 264 First-line supervisors of personal service workers
## 265 Miscellaneous media and communication workers
## 266 Driver/sales workers and truck drivers
## 267 First-line supervisors of retail sales workers
## 268 Human resources workers
## 269 Grounds maintenance workers
## 270 First-line supervisors of retail sales workers
## 271 Helpers—installation, maintenance, and repair workers
## 272 First-line supervisors of non-retail sales workers
## 273 First-line supervisors of office and administrative support workers
## 274 Print binding and finishing workers
## 275 Driver/sales workers and truck drivers
## 276 Maintenance and repair workers, general
## 277 First-line supervisors of office and administrative support workers
## 278 Pest control workers
## 279 First-line supervisors of office and administrative support workers
## 280 First-line supervisors of housekeeping and janitorial workers
## 281 Social workers
## 282 First-line supervisors of office and administrative support workers
## 283 First-line supervisors of construction trades and extraction workers
## 284 Driver/sales workers and truck drivers
## 285 First-line supervisors of retail sales workers
## 286 Miscellaneous agricultural workers
## 287 First-line supervisors of production and operating workers
## 288 Driver/sales workers and truck drivers
## 289 First-line supervisors of retail sales workers
## 290 Helpers—installation, maintenance, and repair workers
## 291 Social workers
## 292 First-line supervisors of non-retail sales workers
## 293 First-line supervisors of retail sales workers
## 294 Crushing, grinding, polishing, mixing, and blending workers
## 295 Sheet metal workers
## 296 Social workers
## 297 Miscellaneous legal support workers
## 298 Social workers
## 299 Grounds maintenance workers
## 300 Other extraction workers
## 301 Material moving workers, all other
## 302 Driver/sales workers and truck drivers
## 303 First-line supervisors of construction trades and extraction workers
## 304 Food preparation workers
## 305 First-line supervisors of office and administrative support workers
## 306 First-line supervisors of office and administrative support workers
## 307 First-line supervisors of office and administrative support workers
## 308 First-line supervisors of fire fighting and prevention workers
## 309 Human resources workers
## 310 Miscellaneous legal support workers
## 311 First-line supervisors of construction trades and extraction workers
## 312 Grounds maintenance workers
## 313 Highway maintenance workers
## 314 Social workers
## 315 Highway maintenance workers
## 316 Sheet metal workers
## 317 Driver/sales workers and truck drivers
## 318 Food preparation workers
## 319 First-line supervisors of construction trades and extraction workers
## 320 First-line supervisors of construction trades and extraction workers
## 321 First-line supervisors of retail sales workers
## 322 First-line supervisors of food preparation and serving workers
## 323 Personal care and service workers, all other
## 324 First-line supervisors of personal service workers
## 325 Driver/sales workers and truck drivers
## 326 Sales and related workers, all other
## 327 First-line supervisors of construction trades and extraction workers
## 328 Grounds maintenance workers
## 329 Production workers, all other
## 330 First-line supervisors of food preparation and serving workers
## 331 First-line supervisors of retail sales workers
## 332 Religious workers, all other
## 333 First-line supervisors of production and operating workers
## 334 Combined food preparation and serving workers, including fast food
## 335 First-line supervisors of retail sales workers
## 336 Production workers, all other
## 337 Miscellaneous legal support workers
## 338 Social workers
## 339 First-line supervisors of office and administrative support workers
## 340 First-line supervisors of food preparation and serving workers
## 341 First-line supervisors of construction trades and extraction workers
## 342 Parking enforcement workers
## 343 Grounds maintenance workers
## 344 Grounds maintenance workers
## 345 First-line supervisors of retail sales workers
## 346 Driver/sales workers and truck drivers
## 347 Miscellaneous personal appearance workers
## 348 Butchers and other meat, poultry, and fish processing workers
## 349 Childcare workers
## 350 Grounds maintenance workers
## 351 First-line supervisors of retail sales workers
## 352 First-line supervisors of construction trades and extraction workers
## 353 First-line supervisors of food preparation and serving workers
## 354 First-line supervisors of landscaping, lawn service, and groundskeeping workers
## 355 Childcare workers
## 356 Animal control workers
## 357 Textile, apparel, and furnishings workers, all other
## 358 Athletes, coaches, umpires, and related workers
## 359 Grounds maintenance workers
## 360 Office and administrative support workers, all other
## 361 First-line supervisors of non-retail sales workers
## 362 First-line supervisors of construction trades and extraction workers
## 363 First-line supervisors of retail sales workers
## 364 Gaming services workers
## 365 Social workers
## 366 Crushing, grinding, polishing, mixing, and blending workers
## 367 First-line supervisors of housekeeping and janitorial workers
## 368 Food processing workers, all other
## 369 Butchers and other meat, poultry, and fish processing workers
## 370 Combined food preparation and serving workers, including fast food
## 371 First-line supervisors of office and administrative support workers
## 372 First-line supervisors of construction trades and extraction workers
## 373 Combined food preparation and serving workers, including fast food
## 374 Textile, apparel, and furnishings workers, all other
## 375 Driver/sales workers and truck drivers
## 376 Grounds maintenance workers
## 377 Grounds maintenance workers
## 378 Combined food preparation and serving workers, including fast food
## 379 Personal care and service workers, all other
## 380 First-line supervisors of retail sales workers
## 381 Driver/sales workers and truck drivers
## 382 Driver/sales workers and truck drivers
## 383 Driver/sales workers and truck drivers
## 384 Grounds maintenance workers
## 385 Door-to-door sales workers, news and street vendors, and related workers
## 386 Grounds maintenance workers
## 387 Helpers—installation, maintenance, and repair workers
## 388 Religious workers, all other
## 389 Sales and related workers, all other
## 390 Social workers
## 391 Miscellaneous personal appearance workers
## 392 Driver/sales workers and truck drivers
## 393 Athletes, coaches, umpires, and related workers
## 394 First-line supervisors of food preparation and serving workers
## 395 First-line supervisors of production and operating workers
## 396 Driver/sales workers and truck drivers
## 397 Sheet metal workers
## 398 Combined food preparation and serving workers, including fast food
## 399 First-line supervisors of farming, fishing, and forestry workers
## 400 Childcare workers
## 401 Childcare workers
## 402 Human resources workers
## 403 Childcare workers
## 404 Childcare workers
## 405 Metal workers and plastic workers, all other
## 406 Food preparation workers
## 407 First-line supervisors of food preparation and serving workers
## 408 Childcare workers
## 409 Grounds maintenance workers
## 410 First-line supervisors of office and administrative support workers
## 411 Door-to-door sales workers, news and street vendors, and related workers
## 412 Athletes, coaches, umpires, and related workers
## 413 Driver/sales workers and truck drivers
## 414 Grounds maintenance workers
## 415 Miscellaneous agricultural workers
## 416 Food preparation workers
## 417 Maintenance and repair workers, general
## 418 First-line supervisors of landscaping, lawn service, and groundskeeping workers
## 419 Grounds maintenance workers
## 420 First-line supervisors of retail sales workers
## 421 Driver/sales workers and truck drivers
## 422 Recreation and fitness workers
## 423 First-line supervisors of office and administrative support workers
## 424 Childcare workers
## 425 Office and administrative support workers, all other
## 426 Driver/sales workers and truck drivers
## 427 First-line supervisors of retail sales workers
## 428 First-line supervisors of retail sales workers
## 429 Human resources workers
## 430 Grounds maintenance workers
## 431 Grounds maintenance workers
## 432 Athletes, coaches, umpires, and related workers
## 433 Grounds maintenance workers
## 434 Combined food preparation and serving workers, including fast food
## 435 Childcare workers
## 436 Grounds maintenance workers
## 437 Social workers
## 438 Miscellaneous agricultural workers
## 439 Grounds maintenance workers
## 440 Food preparation workers
## 441 First-line supervisors of farming, fishing, and forestry workers
## 442 Childcare workers
## 443 Religious workers, all other
## 444 Sheet metal workers
## 445 First-line supervisors of retail sales workers
## 446 Combined food preparation and serving workers, including fast food
## 447 Childcare workers
## 448 First-line supervisors of retail sales workers
## 449 First-line supervisors of retail sales workers
## 450 Miscellaneous agricultural workers
## 451 Food preparation workers
## 452 Combined food preparation and serving workers, including fast food
## 453 Miscellaneous agricultural workers
## 454 Food preparation workers
## 455 Miscellaneous agricultural workers
## 456 Driver/sales workers and truck drivers
## 457 Food preparation workers
## 458 Maintenance and repair workers, general
## 459 Metal workers and plastic workers, all other
## 460 Food preparation workers
## 461 First-line supervisors of non-retail sales workers
## 462 Miscellaneous agricultural workers
## 463 Miscellaneous agricultural workers
## 464 Combined food preparation and serving workers, including fast food
## 465 Sales and related workers, all other
## 466 Miscellaneous entertainment attendants and related workers
## 467 Childcare workers
## 468 Entertainers and performers, sports and related workers, all other
## 469 Personal care and service workers, all other
## 470 Artists and related workers
## 471 Welding, soldering, and brazing workers
## 472 Childcare workers
## 473 Grounds maintenance workers
## 474 First-line supervisors of office and administrative support workers
## 475 First-line supervisors of food preparation and serving workers
## 476 Childcare workers
## 477 Childcare workers
## 478 Musicians, singers, and related workers
## 479 Childcare workers
## 480 Miscellaneous agricultural workers
## 481 Recreation and fitness workers
## 482 Food preparation workers
## 483 Driver/sales workers and truck drivers
## 484 Athletes, coaches, umpires, and related workers
## 485 First-line supervisors of retail sales workers
## 486 First-line supervisors of retail sales workers
## 487 Human resources workers
## 488 Recreation and fitness workers
## 489 Combined food preparation and serving workers, including fast food
## 490 Combined food preparation and serving workers, including fast food
## 491 Prepress technicians and workers
## 492 Combined food preparation and serving workers, including fast food
## 493 First-line supervisors of construction trades and extraction workers
## 494 Lifeguards and other recreational, and all other protective service workers
## 495 Recreation and fitness workers
## 496 Combined food preparation and serving workers, including fast food
## 497 Personal care and service workers, all other
## 498 Miscellaneous entertainment attendants and related workers
## 499 Childcare workers
## 500 Food preparation workers
## 501 Driver/sales workers and truck drivers
## 502 Childcare workers
## 503 Childcare workers
## 504 Food preparation workers
## 505 Welding, soldering, and brazing workers
## 506 Combined food preparation and serving workers, including fast food
## 507 Childcare workers
## 508 Childcare workers
## 509 Combined food preparation and serving workers, including fast food
## 510 Combined food preparation and serving workers, including fast food
## 511 Welding, soldering, and brazing workers
## 512 Childcare workers
## 513 Miscellaneous personal appearance workers
## 514 Miscellaneous agricultural workers
## 515 First-line supervisors of office and administrative support workers
## 516 Grounds maintenance workers
## 517 Miscellaneous agricultural workers
## 518 Driver/sales workers and truck drivers
## 519 Miscellaneous construction and related workers
## 520 Logging workers
## 521 Childcare workers
## 522 Miscellaneous agricultural workers
## age educ sex income income_recode educ_recode
## 1 68 12 Female $25000 or more 25000 1_hs
## 2 36 20 Female $25000 or more 25000 4_Advanced
## 3 42 16 Female $25000 or more 25000 3_Bachelors
## 4 52 12 Male $25000 or more 25000 1_hs
## 5 58 15 Male $25000 or more 25000 2_some_college
## 6 58 16 Female $25000 or more 25000 3_Bachelors
## 7 49 12 Female $25000 or more 25000 1_hs
## 8 39 18 Male $25000 or more 25000 4_Advanced
## 9 25 13 Female $25000 or more 25000 2_some_college
## 10 51 14 Female $25000 or more 25000 2_some_college
## 11 67 14 Male $25000 or more 25000 2_some_college
## 12 77 12 Male $25000 or more 25000 1_hs
## 13 47 13 Male $25000 or more 25000 2_some_college
## 14 33 18 Female $25000 or more 25000 4_Advanced
## 15 42 12 Male $25000 or more 25000 1_hs
## 16 25 12 Male $25000 or more 25000 1_hs
## 17 44 11 Male $25000 or more 25000 0_no_1_hs
## 18 38 14 Male $25000 or more 25000 2_some_college
## 19 50 19 Male $25000 or more 25000 4_Advanced
## 20 41 12 Male $25000 or more 25000 1_hs
## 21 30 19 Female $25000 or more 25000 4_Advanced
## 22 39 12 Male $25000 or more 25000 1_hs
## 23 58 17 Male $25000 or more 25000 4_Advanced
## 24 32 18 Female $25000 or more 25000 4_Advanced
## 25 53 12 Male $25000 or more 25000 1_hs
## 26 60 16 Male $25000 or more 25000 3_Bachelors
## 27 51 18 Male $25000 or more 25000 4_Advanced
## 28 40 13 Female $25000 or more 25000 2_some_college
## 29 65 16 Female $25000 or more 25000 3_Bachelors
## 30 49 14 Male $25000 or more 25000 2_some_college
## 31 59 11 Male $25000 or more 25000 0_no_1_hs
## 32 44 18 Male $25000 or more 25000 4_Advanced
## 33 52 10 Male $25000 or more 25000 0_no_1_hs
## 34 44 6 Male $25000 or more 25000 0_no_1_hs
## 35 43 12 Male $25000 or more 25000 1_hs
## 36 64 16 Male $25000 or more 25000 3_Bachelors
## 37 28 16 Male $25000 or more 25000 3_Bachelors
## 38 34 13 Male $25000 or more 25000 2_some_college
## 39 42 16 Female $25000 or more 25000 3_Bachelors
## 40 32 12 Male $25000 or more 25000 1_hs
## 41 51 13 Male $25000 or more 25000 2_some_college
## 42 37 14 Female $25000 or more 25000 2_some_college
## 43 58 13 Male $25000 or more 25000 2_some_college
## 44 63 16 Male $25000 or more 25000 3_Bachelors
## 45 42 12 Male $25000 or more 25000 1_hs
## 46 46 12 Female $25000 or more 25000 1_hs
## 47 68 13 Female $25000 or more 25000 2_some_college
## 48 61 12 Female $25000 or more 25000 1_hs
## 49 59 12 Male $25000 or more 25000 1_hs
## 50 27 14 Male $25000 or more 25000 2_some_college
## 51 48 13 Female $25000 or more 25000 2_some_college
## 52 31 14 Female $25000 or more 25000 2_some_college
## 53 56 12 Female $25000 or more 25000 1_hs
## 54 32 18 Female $25000 or more 25000 4_Advanced
## 55 28 16 Female $25000 or more 25000 3_Bachelors
## 56 38 14 Female $25000 or more 25000 2_some_college
## 57 51 12 Male $25000 or more 25000 1_hs
## 58 27 12 Male $25000 or more 25000 1_hs
## 59 34 16 Female $25000 or more 25000 3_Bachelors
## 60 51 15 Male $25000 or more 25000 2_some_college
## 61 23 13 Male $25000 or more 25000 2_some_college
## 62 35 12 Male $25000 or more 25000 1_hs
## 63 30 12 Male $25000 or more 25000 1_hs
## 64 51 12 Male $25000 or more 25000 1_hs
## 65 54 14 Female $25000 or more 25000 2_some_college
## 66 29 12 Male $25000 or more 25000 1_hs
## 67 24 11 Female $25000 or more 25000 0_no_1_hs
## 68 64 16 Female $25000 or more 25000 3_Bachelors
## 69 46 14 Female $25000 or more 25000 2_some_college
## 70 61 16 Female $25000 or more 25000 3_Bachelors
## 71 32 18 Male $25000 or more 25000 4_Advanced
## 72 39 12 Female $25000 or more 25000 1_hs
## 73 43 14 Female $25000 or more 25000 2_some_college
## 74 39 12 Male $25000 or more 25000 1_hs
## 75 65 12 Male $25000 or more 25000 1_hs
## 76 52 18 Female $25000 or more 25000 4_Advanced
## 77 56 10 Male $25000 or more 25000 0_no_1_hs
## 78 58 12 Male $25000 or more 25000 1_hs
## 79 48 12 Male $25000 or more 25000 1_hs
## 80 31 12 Male $25000 or more 25000 1_hs
## 81 35 15 Male $25000 or more 25000 2_some_college
## 82 41 20 Male $25000 or more 25000 4_Advanced
## 83 46 16 Male $25000 or more 25000 3_Bachelors
## 84 27 14 Female $25000 or more 25000 2_some_college
## 85 24 12 Male $25000 or more 25000 1_hs
## 86 28 16 Female $25000 or more 25000 3_Bachelors
## 87 35 16 Female $25000 or more 25000 3_Bachelors
## 88 40 16 Male $25000 or more 25000 3_Bachelors
## 89 30 12 Male $25000 or more 25000 1_hs
## 90 55 12 Male $25000 or more 25000 1_hs
## 91 50 13 Male $25000 or more 25000 2_some_college
## 92 52 16 Male $25000 or more 25000 3_Bachelors
## 93 36 12 Male $25000 or more 25000 1_hs
## 94 26 17 Female $25000 or more 25000 4_Advanced
## 95 47 12 Male $25000 or more 25000 1_hs
## 96 24 15 Male $25000 or more 25000 2_some_college
## 97 54 16 Female $25000 or more 25000 3_Bachelors
## 98 37 19 Male $25000 or more 25000 4_Advanced
## 99 31 14 Male $25000 or more 25000 2_some_college
## 100 83 9 Male $25000 or more 25000 0_no_1_hs
## 101 53 12 Male $25000 or more 25000 1_hs
## 102 31 12 Female $25000 or more 25000 1_hs
## 103 44 14 Male $25000 or more 25000 2_some_college
## 104 50 12 Female $25000 or more 25000 1_hs
## 105 63 12 Female $25000 or more 25000 1_hs
## 106 28 14 Male $25000 or more 25000 2_some_college
## 107 57 12 Male $25000 or more 25000 1_hs
## 108 66 16 Female $25000 or more 25000 3_Bachelors
## 109 48 13 Male $25000 or more 25000 2_some_college
## 110 30 14 Male $25000 or more 25000 2_some_college
## 111 56 17 Female $25000 or more 25000 4_Advanced
## 112 43 13 Female $25000 or more 25000 2_some_college
## 113 27 16 Male $25000 or more 25000 3_Bachelors
## 114 52 18 Male $25000 or more 25000 4_Advanced
## 115 50 16 Female $25000 or more 25000 3_Bachelors
## 116 34 16 Male $25000 or more 25000 3_Bachelors
## 117 41 12 Male $25000 or more 25000 1_hs
## 118 28 12 Male $25000 or more 25000 1_hs
## 119 27 14 Female $25000 or more 25000 2_some_college
## 120 72 8 Male $25000 or more 25000 0_no_1_hs
## 121 65 14 Male $25000 or more 25000 2_some_college
## 122 57 12 Male $25000 or more 25000 1_hs
## 123 36 16 Female $25000 or more 25000 3_Bachelors
## 124 43 9 Male $25000 or more 25000 0_no_1_hs
## 125 53 13 Female $25000 or more 25000 2_some_college
## 126 44 12 Male $25000 or more 25000 1_hs
## 127 52 16 Female $25000 or more 25000 3_Bachelors
## 128 41 14 Female $25000 or more 25000 2_some_college
## 129 58 12 Male $25000 or more 25000 1_hs
## 130 55 16 Female $25000 or more 25000 3_Bachelors
## 131 57 12 Female $25000 or more 25000 1_hs
## 132 44 16 Male $25000 or more 25000 3_Bachelors
## 133 39 19 Male $25000 or more 25000 4_Advanced
## 134 29 16 Male $25000 or more 25000 3_Bachelors
## 135 59 12 Male $25000 or more 25000 1_hs
## 136 32 16 Male $25000 or more 25000 3_Bachelors
## 137 60 19 Male $25000 or more 25000 4_Advanced
## 138 52 12 Male $25000 or more 25000 1_hs
## 139 57 12 Male $25000 or more 25000 1_hs
## 140 60 16 Female $25000 or more 25000 3_Bachelors
## 141 72 12 Female $25000 or more 25000 1_hs
## 142 57 13 Male $25000 or more 25000 2_some_college
## 143 49 12 Male $25000 or more 25000 1_hs
## 144 48 12 Female $25000 or more 25000 1_hs
## 145 45 14 Male $25000 or more 25000 2_some_college
## 146 33 11 Male $25000 or more 25000 0_no_1_hs
## 147 62 19 Female $25000 or more 25000 4_Advanced
## 148 24 16 Female $25000 or more 25000 3_Bachelors
## 149 32 16 Male $25000 or more 25000 3_Bachelors
## 150 29 12 Male $25000 or more 25000 1_hs
## 151 33 10 Male $25000 or more 25000 0_no_1_hs
## 152 54 12 Male $25000 or more 25000 1_hs
## 153 58 14 Female $25000 or more 25000 2_some_college
## 154 46 20 Female $25000 or more 25000 4_Advanced
## 155 52 16 Female $25000 or more 25000 3_Bachelors
## 156 37 13 Female $25000 or more 25000 2_some_college
## 157 49 1 Male $25000 or more 25000 0_no_1_hs
## 158 28 12 Male $25000 or more 25000 1_hs
## 159 52 16 Female $25000 or more 25000 3_Bachelors
## 160 33 9 Male $25000 or more 25000 0_no_1_hs
## 161 31 12 Female $25000 or more 25000 1_hs
## 162 62 16 Female $25000 or more 25000 3_Bachelors
## 163 57 14 Female $25000 or more 25000 2_some_college
## 164 48 12 Male $25000 or more 25000 1_hs
## 165 73 19 Male $25000 or more 25000 4_Advanced
## 166 50 20 Female $25000 or more 25000 4_Advanced
## 167 28 13 Male $25000 or more 25000 2_some_college
## 168 33 12 Male $25000 or more 25000 1_hs
## 169 40 10 Male $25000 or more 25000 0_no_1_hs
## 170 56 16 Male $25000 or more 25000 3_Bachelors
## 171 46 18 Female $25000 or more 25000 4_Advanced
## 172 69 13 Male $25000 or more 25000 2_some_college
## 173 43 18 Female $25000 or more 25000 4_Advanced
## 174 58 14 Male $25000 or more 25000 2_some_college
## 175 35 14 Male $25000 or more 25000 2_some_college
## 176 46 14 Male $25000 or more 25000 2_some_college
## 177 53 12 Female $25000 or more 25000 1_hs
## 178 25 12 Male $25000 or more 25000 1_hs
## 179 24 16 Male $25000 or more 25000 3_Bachelors
## 180 24 12 Male $25000 or more 25000 1_hs
## 181 22 12 Female $25000 or more 25000 1_hs
## 182 48 12 Male $25000 or more 25000 1_hs
## 183 61 12 Male $25000 or more 25000 1_hs
## 184 39 12 Male $25000 or more 25000 1_hs
## 185 50 14 Male $25000 or more 25000 2_some_college
## 186 52 19 Female $25000 or more 25000 4_Advanced
## 187 40 12 Male $25000 or more 25000 1_hs
## 188 40 12 Male $25000 or more 25000 1_hs
## 189 57 20 Female $25000 or more 25000 4_Advanced
## 190 40 13 Female $25000 or more 25000 2_some_college
## 191 42 16 Male $25000 or more 25000 3_Bachelors
## 192 45 16 Male $25000 or more 25000 3_Bachelors
## 193 70 16 Male $25000 or more 25000 3_Bachelors
## 194 55 14 Male $25000 or more 25000 2_some_college
## 195 58 12 Female $25000 or more 25000 1_hs
## 196 46 13 Male $25000 or more 25000 2_some_college
## 197 60 16 Male $25000 or more 25000 3_Bachelors
## 198 38 16 Female $25000 or more 25000 3_Bachelors
## 199 29 13 Male $25000 or more 25000 2_some_college
## 200 47 12 Male $25000 or more 25000 1_hs
## 201 46 14 Male $25000 or more 25000 2_some_college
## 202 33 12 Female $25000 or more 25000 1_hs
## 203 28 17 Female $25000 or more 25000 4_Advanced
## 204 26 13 Male $25000 or more 25000 2_some_college
## 205 36 12 Male $25000 or more 25000 1_hs
## 206 31 12 Male $25000 or more 25000 1_hs
## 207 58 16 Male $25000 or more 25000 3_Bachelors
## 208 51 12 Male $25000 or more 25000 1_hs
## 209 60 12 Male $25000 or more 25000 1_hs
## 210 39 15 Female $25000 or more 25000 2_some_college
## 211 50 12 Male $25000 or more 25000 1_hs
## 212 34 16 Female $25000 or more 25000 3_Bachelors
## 213 26 16 Female $25000 or more 25000 3_Bachelors
## 214 60 20 Male $25000 or more 25000 4_Advanced
## 215 40 16 Female $25000 or more 25000 3_Bachelors
## 216 41 16 Female $25000 or more 25000 3_Bachelors
## 217 34 16 Male $25000 or more 25000 3_Bachelors
## 218 53 13 Male $25000 or more 25000 2_some_college
## 219 49 16 Female $25000 or more 25000 3_Bachelors
## 220 47 12 Male $25000 or more 25000 1_hs
## 221 31 14 Female $25000 or more 25000 2_some_college
## 222 22 12 Male $25000 or more 25000 1_hs
## 223 37 19 Female $25000 or more 25000 4_Advanced
## 224 43 18 Male $25000 or more 25000 4_Advanced
## 225 46 16 Female $25000 or more 25000 3_Bachelors
## 226 33 12 Male $25000 or more 25000 1_hs
## 227 66 17 Male $25000 or more 25000 4_Advanced
## 228 63 12 Male $25000 or more 25000 1_hs
## 229 56 12 Female $25000 or more 25000 1_hs
## 230 53 16 Female $25000 or more 25000 3_Bachelors
## 231 27 12 Male $25000 or more 25000 1_hs
## 232 39 15 Female $25000 or more 25000 2_some_college
## 233 28 12 Female $25000 or more 25000 1_hs
## 234 40 14 Male $25000 or more 25000 2_some_college
## 235 54 15 Male $25000 or more 25000 2_some_college
## 236 33 12 Male $25000 or more 25000 1_hs
## 237 33 12 Male $25000 or more 25000 1_hs
## 238 48 13 Male $25000 or more 25000 2_some_college
## 239 57 14 Female $25000 or more 25000 2_some_college
## 240 30 12 Male $25000 or more 25000 1_hs
## 241 36 12 Male $25000 or more 25000 1_hs
## 242 28 8 Male $25000 or more 25000 0_no_1_hs
## 243 78 10 Male $25000 or more 25000 0_no_1_hs
## 244 25 12 Male $25000 or more 25000 1_hs
## 245 56 17 Female $25000 or more 25000 4_Advanced
## 246 35 16 Male $25000 or more 25000 3_Bachelors
## 247 47 16 Male $25000 or more 25000 3_Bachelors
## 248 56 13 Male $25000 or more 25000 2_some_college
## 249 44 12 Male $25000 or more 25000 1_hs
## 250 57 12 Male $25000 or more 25000 1_hs
## 251 27 15 Female $25000 or more 25000 2_some_college
## 252 32 14 Female $25000 or more 25000 2_some_college
## 253 49 6 Male $25000 or more 25000 0_no_1_hs
## 254 22 13 Male $25000 or more 25000 2_some_college
## 255 32 16 Male $25000 or more 25000 3_Bachelors
## 256 41 16 Male $25000 or more 25000 3_Bachelors
## 257 61 14 Male $25000 or more 25000 2_some_college
## 258 42 14 Female $25000 or more 25000 2_some_college
## 259 58 14 Male $25000 or more 25000 2_some_college
## 260 54 12 Male $25000 or more 25000 1_hs
## 261 65 12 Male $25000 or more 25000 1_hs
## 262 37 14 Female $25000 or more 25000 2_some_college
## 263 60 12 Female $25000 or more 25000 1_hs
## 264 47 17 Male $25000 or more 25000 4_Advanced
## 265 31 16 Male $25000 or more 25000 3_Bachelors
## 266 40 8 Male $25000 or more 25000 0_no_1_hs
## 267 30 14 Female $25000 or more 25000 2_some_college
## 268 46 16 Female $25000 or more 25000 3_Bachelors
## 269 52 12 Male $25000 or more 25000 1_hs
## 270 38 16 Female $25000 or more 25000 3_Bachelors
## 271 28 12 Male $25000 or more 25000 1_hs
## 272 31 16 Female $25000 or more 25000 3_Bachelors
## 273 30 15 Female $25000 or more 25000 2_some_college
## 274 55 12 Male $25000 or more 25000 1_hs
## 275 41 13 Male $25000 or more 25000 2_some_college
## 276 36 14 Female $25000 or more 25000 2_some_college
## 277 30 15 Female $25000 or more 25000 2_some_college
## 278 44 9 Male $25000 or more 25000 0_no_1_hs
## 279 52 13 Female $25000 or more 25000 2_some_college
## 280 49 14 Male $25000 or more 25000 2_some_college
## 281 35 15 Female $25000 or more 25000 2_some_college
## 282 44 13 Male $25000 or more 25000 2_some_college
## 283 71 17 Female $25000 or more 25000 4_Advanced
## 284 No answer 14 Male $25000 or more 25000 2_some_college
## 285 47 12 Male $25000 or more 25000 1_hs
## 286 38 6 Male $25000 or more 25000 0_no_1_hs
## 287 58 11 Male $25000 or more 25000 0_no_1_hs
## 288 32 15 Female $25000 or more 25000 2_some_college
## 289 65 19 Male $25000 or more 25000 4_Advanced
## 290 43 16 Male $25000 or more 25000 3_Bachelors
## 291 73 16 Male $25000 or more 25000 3_Bachelors
## 292 55 12 Male $25000 or more 25000 1_hs
## 293 25 13 Female $25000 or more 25000 2_some_college
## 294 41 16 Male $25000 or more 25000 3_Bachelors
## 295 64 13 Male $25000 or more 25000 2_some_college
## 296 64 18 Female $25000 or more 25000 4_Advanced
## 297 58 12 Female $25000 or more 25000 1_hs
## 298 64 12 Female $25000 or more 25000 1_hs
## 299 27 12 Male $25000 or more 25000 1_hs
## 300 34 11 Male $25000 or more 25000 0_no_1_hs
## 301 49 13 Male $25000 or more 25000 2_some_college
## 302 39 14 Male $25000 or more 25000 2_some_college
## 303 51 14 Male $25000 or more 25000 2_some_college
## 304 30 12 Female $25000 or more 25000 1_hs
## 305 51 14 Male $25000 or more 25000 2_some_college
## 306 59 13 Male $25000 or more 25000 2_some_college
## 307 56 17 Female $25000 or more 25000 4_Advanced
## 308 44 20 Male $25000 or more 25000 4_Advanced
## 309 36 16 Female $25000 or more 25000 3_Bachelors
## 310 62 14 Female $25000 or more 25000 2_some_college
## 311 36 9 Male $25000 or more 25000 0_no_1_hs
## 312 44 12 Male $25000 or more 25000 1_hs
## 313 35 12 Male $25000 or more 25000 1_hs
## 314 28 18 Male $25000 or more 25000 4_Advanced
## 315 64 12 Male $25000 or more 25000 1_hs
## 316 27 12 Male $25000 or more 25000 1_hs
## 317 46 8 Male $25000 or more 25000 0_no_1_hs
## 318 34 14 Female $25000 or more 25000 2_some_college
## 319 32 11 Male $25000 or more 25000 0_no_1_hs
## 320 55 12 Male $25000 or more 25000 1_hs
## 321 34 14 Female $25000 or more 25000 2_some_college
## 322 48 12 Female $25000 or more 25000 1_hs
## 323 43 16 Male $20000 - 24999 22500 3_Bachelors
## 324 40 8 Female $20000 - 24999 22500 0_no_1_hs
## 325 45 12 Female $20000 - 24999 22500 1_hs
## 326 32 14 Male $20000 - 24999 22500 2_some_college
## 327 37 12 Male $20000 - 24999 22500 1_hs
## 328 28 14 Male $20000 - 24999 22500 2_some_college
## 329 57 12 Female $20000 - 24999 22500 1_hs
## 330 29 12 Male $20000 - 24999 22500 1_hs
## 331 81 18 Male $20000 - 24999 22500 4_Advanced
## 332 59 16 Male $20000 - 24999 22500 3_Bachelors
## 333 52 18 Female $20000 - 24999 22500 4_Advanced
## 334 56 12 Female $20000 - 24999 22500 1_hs
## 335 44 12 Female $20000 - 24999 22500 1_hs
## 336 63 14 Male $20000 - 24999 22500 2_some_college
## 337 30 14 Female $20000 - 24999 22500 2_some_college
## 338 33 18 Male $20000 - 24999 22500 4_Advanced
## 339 57 12 Male $20000 - 24999 22500 1_hs
## 340 41 10 Male $20000 - 24999 22500 0_no_1_hs
## 341 21 12 Male $20000 - 24999 22500 1_hs
## 342 67 12 Male $20000 - 24999 22500 1_hs
## 343 18 12 Male $20000 - 24999 22500 1_hs
## 344 49 12 Male $20000 - 24999 22500 1_hs
## 345 25 12 Male $20000 - 24999 22500 1_hs
## 346 34 14 Male $20000 - 24999 22500 2_some_college
## 347 45 6 Male $20000 - 24999 22500 0_no_1_hs
## 348 51 12 Male $20000 - 24999 22500 1_hs
## 349 42 10 Female $20000 - 24999 22500 0_no_1_hs
## 350 69 12 Male $20000 - 24999 22500 1_hs
## 351 28 16 Male $20000 - 24999 22500 3_Bachelors
## 352 50 15 Male $20000 - 24999 22500 2_some_college
## 353 24 Don't know Female $20000 - 24999 22500 0
## 354 65 3 Male $20000 - 24999 22500 0_no_1_hs
## 355 46 12 Female $20000 - 24999 22500 1_hs
## 356 41 12 Female $20000 - 24999 22500 1_hs
## 357 69 14 Male $20000 - 24999 22500 2_some_college
## 358 23 14 Male $20000 - 24999 22500 2_some_college
## 359 22 12 Male $20000 - 24999 22500 1_hs
## 360 53 12 Female $20000 - 24999 22500 1_hs
## 361 26 12 Male $20000 - 24999 22500 1_hs
## 362 35 9 Male $20000 - 24999 22500 0_no_1_hs
## 363 53 13 Female $20000 - 24999 22500 2_some_college
## 364 43 14 Female $20000 - 24999 22500 2_some_college
## 365 59 16 Female $20000 - 24999 22500 3_Bachelors
## 366 43 11 Male $20000 - 24999 22500 0_no_1_hs
## 367 51 10 Female $20000 - 24999 22500 0_no_1_hs
## 368 34 6 Male $20000 - 24999 22500 0_no_1_hs
## 369 53 8 Female $20000 - 24999 22500 0_no_1_hs
## 370 41 12 Female $15000 - 19999 17500 1_hs
## 371 42 12 Male $15000 - 19999 17500 1_hs
## 372 52 15 Male $15000 - 19999 17500 2_some_college
## 373 66 16 Female $15000 - 19999 17500 3_Bachelors
## 374 31 12 Female $15000 - 19999 17500 1_hs
## 375 54 14 Male $15000 - 19999 17500 2_some_college
## 376 24 14 Male $15000 - 19999 17500 2_some_college
## 377 38 12 Female $15000 - 19999 17500 1_hs
## 378 30 9 Male $15000 - 19999 17500 0_no_1_hs
## 379 25 14 Male $15000 - 19999 17500 2_some_college
## 380 43 13 Male $15000 - 19999 17500 2_some_college
## 381 38 12 Male $15000 - 19999 17500 1_hs
## 382 67 12 Female $15000 - 19999 17500 1_hs
## 383 60 11 Male $15000 - 19999 17500 0_no_1_hs
## 384 37 12 Male $15000 - 19999 17500 1_hs
## 385 46 3 Female $15000 - 19999 17500 0_no_1_hs
## 386 25 12 Female $15000 - 19999 17500 1_hs
## 387 57 14 Male $15000 - 19999 17500 2_some_college
## 388 62 17 Male $15000 - 19999 17500 4_Advanced
## 389 53 18 Female $15000 - 19999 17500 4_Advanced
## 390 56 16 Female $15000 - 19999 17500 3_Bachelors
## 391 32 15 Female $15000 - 19999 17500 2_some_college
## 392 39 14 Female $15000 - 19999 17500 2_some_college
## 393 27 16 Female $15000 - 19999 17500 3_Bachelors
## 394 27 15 Female $15000 - 19999 17500 2_some_college
## 395 70 12 Male $15000 - 19999 17500 1_hs
## 396 59 12 Female $15000 - 19999 17500 1_hs
## 397 29 13 Male $15000 - 19999 17500 2_some_college
## 398 33 12 Female $15000 - 19999 17500 1_hs
## 399 42 9 Female $15000 - 19999 17500 0_no_1_hs
## 400 43 12 Female $10000 - 14999 12500 1_hs
## 401 34 16 Female $10000 - 14999 12500 3_Bachelors
## 402 26 17 Female $10000 - 14999 12500 4_Advanced
## 403 49 14 Female $10000 - 14999 12500 2_some_college
## 404 23 14 Female $10000 - 14999 12500 2_some_college
## 405 66 8 Male $10000 - 14999 12500 0_no_1_hs
## 406 28 15 Female $10000 - 14999 12500 2_some_college
## 407 23 13 Female $10000 - 14999 12500 2_some_college
## 408 57 11 Female $10000 - 14999 12500 0_no_1_hs
## 409 57 9 Male $10000 - 14999 12500 0_no_1_hs
## 410 29 14 Female $10000 - 14999 12500 2_some_college
## 411 32 14 Male $10000 - 14999 12500 2_some_college
## 412 46 16 Female $10000 - 14999 12500 3_Bachelors
## 413 63 13 Male $10000 - 14999 12500 2_some_college
## 414 68 16 Male $10000 - 14999 12500 3_Bachelors
## 415 42 6 Female $10000 - 14999 12500 0_no_1_hs
## 416 26 11 Male $10000 - 14999 12500 0_no_1_hs
## 417 50 12 Male $10000 - 14999 12500 1_hs
## 418 19 12 Male $10000 - 14999 12500 1_hs
## 419 38 14 Male $10000 - 14999 12500 2_some_college
## 420 26 16 Male $10000 - 14999 12500 3_Bachelors
## 421 45 14 Male $10000 - 14999 12500 2_some_college
## 422 33 12 Female $10000 - 14999 12500 1_hs
## 423 23 8 Female $10000 - 14999 12500 0_no_1_hs
## 424 29 15 Female $10000 - 14999 12500 2_some_college
## 425 40 18 Female $10000 - 14999 12500 4_Advanced
## 426 58 14 Male $10000 - 14999 12500 2_some_college
## 427 23 13 Female $10000 - 14999 12500 2_some_college
## 428 21 9 Male $10000 - 14999 12500 0_no_1_hs
## 429 44 14 Female $10000 - 14999 12500 2_some_college
## 430 27 15 Male $10000 - 14999 12500 2_some_college
## 431 65 11 Male $10000 - 14999 12500 0_no_1_hs
## 432 54 14 Male $10000 - 14999 12500 2_some_college
## 433 33 10 Male $10000 - 14999 12500 0_no_1_hs
## 434 21 15 Male $10000 - 14999 12500 2_some_college
## 435 28 14 Female $10000 - 14999 12500 2_some_college
## 436 29 12 Male $10000 - 14999 12500 1_hs
## 437 27 18 Female $8000 to 9999 9000 4_Advanced
## 438 63 6 Male $8000 to 9999 9000 0_no_1_hs
## 439 81 12 Male $8000 to 9999 9000 1_hs
## 440 31 12 Male $8000 to 9999 9000 1_hs
## 441 60 9 Female $8000 to 9999 9000 0_no_1_hs
## 442 34 9 Female $8000 to 9999 9000 0_no_1_hs
## 443 54 16 Female $8000 to 9999 9000 3_Bachelors
## 444 46 12 Male $8000 to 9999 9000 1_hs
## 445 46 12 Female $8000 to 9999 9000 1_hs
## 446 39 12 Female $8000 to 9999 9000 1_hs
## 447 21 14 Female $7000 to 7999 7500 2_some_college
## 448 30 14 Female $7000 to 7999 7500 2_some_college
## 449 79 14 Male $7000 to 7999 7500 2_some_college
## 450 68 12 Male $7000 to 7999 7500 1_hs
## 451 59 12 Female $7000 to 7999 7500 1_hs
## 452 26 14 Female $7000 to 7999 7500 2_some_college
## 453 62 11 Female $7000 to 7999 7500 0_no_1_hs
## 454 38 9 Female $7000 to 7999 7500 0_no_1_hs
## 455 59 2 Male $7000 to 7999 7500 0_no_1_hs
## 456 40 12 Female $6000 to 6999 6500 1_hs
## 457 40 14 Female $6000 to 6999 6500 2_some_college
## 458 24 12 Male $6000 to 6999 6500 1_hs
## 459 42 12 Male $6000 to 6999 6500 1_hs
## 460 19 11 Male $6000 to 6999 6500 0_no_1_hs
## 461 64 14 Female $6000 to 6999 6500 2_some_college
## 462 33 8 Male $6000 to 6999 6500 0_no_1_hs
## 463 59 20 Female $6000 to 6999 6500 4_Advanced
## 464 57 16 Female $6000 to 6999 6500 3_Bachelors
## 465 53 16 Female $5000 to 5999 5500 3_Bachelors
## 466 38 12 Female $5000 to 5999 5500 1_hs
## 467 21 13 Female $5000 to 5999 5500 2_some_college
## 468 26 8 Female $5000 to 5999 5500 0_no_1_hs
## 469 28 14 Male $5000 to 5999 5500 2_some_college
## 470 31 15 Female $5000 to 5999 5500 2_some_college
## 471 28 12 Male $5000 to 5999 5500 1_hs
## 472 47 9 Female $5000 to 5999 5500 0_no_1_hs
## 473 30 6 Male $5000 to 5999 5500 0_no_1_hs
## 474 60 14 Female $4000 to 4999 4500 2_some_college
## 475 35 14 Male $4000 to 4999 4500 2_some_college
## 476 52 14 Female $4000 to 4999 4500 2_some_college
## 477 22 5 Female $4000 to 4999 4500 0_no_1_hs
## 478 60 14 Male $4000 to 4999 4500 2_some_college
## 479 67 16 Female $4000 to 4999 4500 3_Bachelors
## 480 22 11 Male $4000 to 4999 4500 0_no_1_hs
## 481 21 15 Male $4000 to 4999 4500 2_some_college
## 482 22 15 Male $3000 to 3999 3500 2_some_college
## 483 40 13 Male $3000 to 3999 3500 2_some_college
## 484 27 13 Male $3000 to 3999 3500 2_some_college
## 485 28 12 Female $3000 to 3999 3500 1_hs
## 486 39 18 Male $3000 to 3999 3500 4_Advanced
## 487 33 9 Female $3000 to 3999 3500 0_no_1_hs
## 488 23 11 Female $3000 to 3999 3500 0_no_1_hs
## 489 24 8 Female $3000 to 3999 3500 0_no_1_hs
## 490 25 13 Female $3000 to 3999 3500 2_some_college
## 491 87 11 Female $3000 to 3999 3500 0_no_1_hs
## 492 45 4 Female $3000 to 3999 3500 0_no_1_hs
## 493 37 12 Male $3000 to 3999 3500 1_hs
## 494 20 13 Male $1000 to 2999 1500 2_some_college
## 495 19 13 Female $1000 to 2999 1500 2_some_college
## 496 73 12 Female $1000 to 2999 1500 1_hs
## 497 44 16 Female $1000 to 2999 1500 3_Bachelors
## 498 58 14 Male $1000 to 2999 1500 2_some_college
## 499 58 12 Female $1000 to 2999 1500 1_hs
## 500 29 11 Female $1000 to 2999 1500 0_no_1_hs
## 501 63 12 Female $1000 to 2999 1500 1_hs
## 502 42 10 Female $1000 to 2999 1500 0_no_1_hs
## 503 20 13 Female $1000 to 2999 1500 2_some_college
## 504 19 12 Male $1000 to 2999 1500 1_hs
## 505 29 11 Male $1000 to 2999 1500 0_no_1_hs
## 506 21 15 Male $1000 to 2999 1500 2_some_college
## 507 62 8 Female $1000 to 2999 1500 0_no_1_hs
## 508 19 11 Female $1000 to 2999 1500 0_no_1_hs
## 509 19 12 Female $1000 to 2999 1500 1_hs
## 510 24 11 Female $1000 to 2999 1500 0_no_1_hs
## 511 56 14 Male $1000 to 2999 1500 2_some_college
## 512 22 12 Female Lt $1000 500 1_hs
## 513 30 13 Female Lt $1000 500 2_some_college
## 514 44 12 Female Lt $1000 500 1_hs
## 515 86 12 Female Lt $1000 500 1_hs
## 516 71 8 Male Lt $1000 500 0_no_1_hs
## 517 50 11 Male Lt $1000 500 0_no_1_hs
## 518 41 12 Male Lt $1000 500 1_hs
## 519 51 1 Male Lt $1000 500 0_no_1_hs
## 520 21 12 Male Lt $1000 500 1_hs
## 521 20 13 Female Lt $1000 500 2_some_college
## 522 66 6 Male Lt $1000 500 0_no_1_hs
a2
## [1] year id hours_wkd occupation age
## [6] educ sex income income_recode educ_recode
## <0 rows> (or 0-length row.names)
a3 = rbind(a1,a2)
a3
## year id hours_wkd
## 1 2016 32 50
## 2 2016 44 45
## 3 2016 56 35
## 4 2016 86 48
## 5 2016 96 NA
## 6 2016 101 37
## 7 2016 127 40
## 8 2016 151 60
## 9 2016 159 40
## 10 2016 176 40
## 11 2016 179 16
## 12 2016 216 NA
## 13 2016 219 45
## 14 2016 229 40
## 15 2016 244 48
## 16 2016 256 NA
## 17 2016 269 52
## 18 2016 286 75
## 19 2016 293 55
## 20 2016 295 46
## 21 2016 306 40
## 22 2016 327 50
## 23 2016 337 60
## 24 2016 338 1
## 25 2016 349 41
## 26 2016 358 42
## 27 2016 365 60
## 28 2016 384 40
## 29 2016 391 NA
## 30 2016 394 60
## 31 2016 401 40
## 32 2016 410 35
## 33 2016 430 32
## 34 2016 434 40
## 35 2016 448 40
## 36 2016 466 10
## 37 2016 475 40
## 38 2016 497 45
## 39 2016 510 45
## 40 2016 514 40
## 41 2016 515 48
## 42 2016 564 42
## 43 2016 569 50
## 44 2016 572 NA
## 45 2016 581 25
## 46 2016 583 24
## 47 2016 599 NA
## 48 2016 665 40
## 49 2016 685 NA
## 50 2016 722 68
## 51 2016 742 58
## 52 2016 752 40
## 53 2016 785 55
## 54 2016 824 50
## 55 2016 825 50
## 56 2016 829 62
## 57 2016 830 61
## 58 2016 838 64
## 59 2016 849 50
## 60 2016 889 30
## 61 2016 903 65
## 62 2016 909 45
## 63 2016 926 89
## 64 2016 934 50
## 65 2016 954 60
## 66 2016 962 40
## 67 2016 1009 50
## 68 2016 1028 46
## 69 2016 1046 52
## 70 2016 1057 40
## 71 2016 1061 50
## 72 2016 1092 40
## 73 2016 1095 40
## 74 2016 1097 55
## 75 2016 1106 55
## 76 2016 1113 8
## 77 2016 1134 58
## 78 2016 1136 40
## 79 2016 1163 70
## 80 2016 1166 NA
## 81 2016 1193 40
## 82 2016 1196 50
## 83 2016 1197 40
## 84 2016 1211 60
## 85 2016 1229 NA
## 86 2016 1230 50
## 87 2016 1236 40
## 88 2016 1238 40
## 89 2016 1258 55
## 90 2016 1286 NA
## 91 2016 1292 60
## 92 2016 1335 NA
## 93 2016 1340 35
## 94 2016 1373 50
## 95 2016 1389 65
## 96 2016 1406 86
## 97 2016 1419 45
## 98 2016 1421 40
## 99 2016 1432 40
## 100 2016 1434 40
## 101 2016 1451 40
## 102 2016 1477 NA
## 103 2016 1500 60
## 104 2016 1513 50
## 105 2016 1565 54
## 106 2016 1589 50
## 107 2016 1591 NA
## 108 2016 1593 NA
## 109 2016 1600 40
## 110 2016 1617 40
## 111 2016 1618 35
## 112 2016 1663 40
## 113 2016 1664 40
## 114 2016 1678 60
## 115 2016 1692 47
## 116 2016 1706 40
## 117 2016 1711 NA
## 118 2016 1714 56
## 119 2016 1735 40
## 120 2016 1736 NA
## 121 2016 1813 4
## 122 2016 1816 30
## 123 2016 1827 40
## 124 2016 1835 40
## 125 2016 1844 65
## 126 2016 1846 40
## 127 2016 1858 40
## 128 2016 1906 40
## 129 2016 1913 46
## 130 2016 1929 40
## 131 2016 1951 56
## 132 2016 2008 60
## 133 2016 2009 40
## 134 2016 2010 48
## 135 2016 2029 NA
## 136 2016 2058 35
## 137 2016 2059 22
## 138 2016 2067 NA
## 139 2016 2084 72
## 140 2016 2100 10
## 141 2016 2108 25
## 142 2016 2118 50
## 143 2016 2134 44
## 144 2016 2142 42
## 145 2016 2143 45
## 146 2016 2166 40
## 147 2016 2188 20
## 148 2016 2192 46
## 149 2016 2234 40
## 150 2016 2241 47
## 151 2016 2275 40
## 152 2016 2305 40
## 153 2016 2319 40
## 154 2016 2341 32
## 155 2016 2352 50
## 156 2016 2373 60
## 157 2016 2385 65
## 158 2016 2388 NA
## 159 2016 2391 40
## 160 2016 2394 47
## 161 2016 2417 40
## 162 2016 2430 39
## 163 2016 2458 40
## 164 2016 2479 NA
## 165 2016 2490 NA
## 166 2016 2502 40
## 167 2016 2528 40
## 168 2016 2542 NA
## 169 2016 2547 57
## 170 2016 2568 40
## 171 2016 2571 50
## 172 2016 2578 NA
## 173 2016 2579 40
## 174 2016 2585 65
## 175 2016 2592 NA
## 176 2016 2638 40
## 177 2016 2645 50
## 178 2016 2677 75
## 179 2016 2679 56
## 180 2016 2682 40
## 181 2016 2684 50
## 182 2016 2734 45
## 183 2016 2756 38
## 184 2016 2764 40
## 185 2016 2776 40
## 186 2016 2777 60
## 187 2016 2810 40
## 188 2016 2852 60
## 189 2016 2863 30
## 190 2018 84 40
## 191 2018 91 NA
## 192 2018 98 NA
## 193 2018 115 40
## 194 2018 141 40
## 195 2018 157 52
## 196 2018 190 60
## 197 2018 196 45
## 198 2018 199 40
## 199 2018 202 NA
## 200 2018 207 48
## 201 2018 212 54
## 202 2018 220 45
## 203 2018 228 20
## 204 2018 242 45
## 205 2018 257 48
## 206 2018 260 40
## 207 2018 267 42
## 208 2018 271 50
## 209 2018 279 40
## 210 2018 288 40
## 211 2018 294 40
## 212 2018 332 40
## 213 2018 337 60
## 214 2018 341 40
## 215 2018 364 30
## 216 2018 386 30
## 217 2018 401 32
## 218 2018 410 40
## 219 2018 420 NA
## 220 2018 423 41
## 221 2018 440 45
## 222 2018 446 48
## 223 2018 472 40
## 224 2018 474 57
## 225 2018 491 50
## 226 2018 501 44
## 227 2018 507 50
## 228 2018 523 60
## 229 2018 530 45
## 230 2018 567 40
## 231 2018 574 60
## 232 2018 633 40
## 233 2018 637 40
## 234 2018 642 50
## 235 2018 681 40
## 236 2018 696 60
## 237 2018 708 40
## 238 2018 727 53
## 239 2018 746 50
## 240 2018 749 60
## 241 2018 769 16
## 242 2018 778 50
## 243 2018 840 30
## 244 2018 852 NA
## 245 2018 859 1
## 246 2018 861 60
## 247 2018 884 40
## 248 2018 896 61
## 249 2018 900 56
## 250 2018 903 43
## 251 2018 913 40
## 252 2018 916 45
## 253 2018 960 55
## 254 2018 965 55
## 255 2018 971 25
## 256 2018 977 60
## 257 2018 1016 70
## 258 2018 1018 40
## 259 2018 1026 40
## 260 2018 1029 51
## 261 2018 1058 40
## 262 2018 1075 40
## 263 2018 1095 40
## 264 2018 1096 40
## 265 2018 1123 40
## 266 2018 1137 60
## 267 2018 1142 40
## 268 2018 1190 38
## 269 2018 1213 40
## 270 2018 1214 40
## 271 2018 1219 55
## 272 2018 1261 40
## 273 2018 1302 NA
## 274 2018 1305 40
## 275 2018 1311 30
## 276 2018 1314 40
## 277 2018 1353 NA
## 278 2018 1397 65
## 279 2018 1410 40
## 280 2018 1417 40
## 281 2018 1434 50
## 282 2018 1453 40
## 283 2018 1471 25
## 284 2018 1473 40
## 285 2018 1487 50
## 286 2018 1505 72
## 287 2018 1524 50
## 288 2018 1533 76
## 289 2018 1658 50
## 290 2018 1669 50
## 291 2018 1679 37
## 292 2018 1688 55
## 293 2018 1725 60
## 294 2018 1730 55
## 295 2018 1765 40
## 296 2018 1797 48
## 297 2018 1825 35
## 298 2018 1848 57
## 299 2018 1853 44
## 300 2018 1868 86
## 301 2018 1871 89
## 302 2018 1897 54
## 303 2018 1907 70
## 304 2018 1956 60
## 305 2018 1958 56
## 306 2018 1974 44
## 307 2018 2003 45
## 308 2018 2025 80
## 309 2018 2032 40
## 310 2018 2035 30
## 311 2018 2038 35
## 312 2018 2043 43
## 313 2018 2050 65
## 314 2018 2077 48
## 315 2018 2087 40
## 316 2018 2103 48
## 317 2018 2151 NA
## 318 2018 2153 40
## 319 2018 2228 40
## 320 2018 2248 40
## 321 2018 2273 57
## 322 2018 2286 47
## 323 2016 97 NA
## 324 2016 194 40
## 325 2016 218 50
## 326 2016 242 42
## 327 2016 318 26
## 328 2016 568 50
## 329 2016 624 40
## 330 2016 891 36
## 331 2016 900 50
## 332 2016 1056 40
## 333 2016 1089 70
## 334 2016 1100 32
## 335 2016 1214 42
## 336 2016 1262 40
## 337 2016 1658 40
## 338 2016 1749 65
## 339 2016 1979 40
## 340 2016 2136 42
## 341 2016 2161 42
## 342 2016 2214 40
## 343 2016 2224 15
## 344 2016 2259 40
## 345 2016 2473 40
## 346 2016 2476 40
## 347 2016 2560 44
## 348 2016 2821 40
## 349 2018 62 25
## 350 2018 198 35
## 351 2018 565 40
## 352 2018 726 36
## 353 2018 794 32
## 354 2018 801 NA
## 355 2018 816 28
## 356 2018 843 40
## 357 2018 912 NA
## 358 2018 1044 40
## 359 2018 1201 48
## 360 2018 1254 20
## 361 2018 1439 35
## 362 2018 1535 60
## 363 2018 1639 60
## 364 2018 1651 40
## 365 2018 1738 40
## 366 2018 1891 55
## 367 2018 2068 40
## 368 2018 2287 43
## 369 2018 2313 NA
## 370 2016 89 40
## 371 2016 263 40
## 372 2016 659 60
## 373 2016 670 34
## 374 2016 797 36
## 375 2016 839 NA
## 376 2016 899 6
## 377 2016 998 NA
## 378 2016 1311 36
## 379 2016 1405 60
## 380 2016 1540 NA
## 381 2016 1789 NA
## 382 2016 2033 30
## 383 2016 2282 30
## 384 2016 2397 48
## 385 2016 2480 89
## 386 2016 2530 NA
## 387 2016 2587 NA
## 388 2016 2633 25
## 389 2016 2817 33
## 390 2018 25 15
## 391 2018 482 30
## 392 2018 608 30
## 393 2018 864 NA
## 394 2018 1077 NA
## 395 2018 1364 NA
## 396 2018 1465 40
## 397 2018 1794 51
## 398 2018 1859 40
## 399 2018 1980 40
## 400 2016 4 30
## 401 2016 239 30
## 402 2016 265 28
## 403 2016 282 NA
## 404 2016 527 23
## 405 2016 582 NA
## 406 2016 746 30
## 407 2016 826 NA
## 408 2016 992 40
## 409 2016 1363 55
## 410 2016 1447 20
## 411 2016 1583 37
## 412 2016 1662 30
## 413 2016 1742 NA
## 414 2016 2309 8
## 415 2016 2386 55
## 416 2016 2465 32
## 417 2016 2753 63
## 418 2016 2827 NA
## 419 2016 2843 42
## 420 2018 262 38
## 421 2018 524 25
## 422 2018 787 11
## 423 2018 788 24
## 424 2018 798 89
## 425 2018 821 45
## 426 2018 849 28
## 427 2018 999 36
## 428 2018 1057 44
## 429 2018 1070 50
## 430 2018 1114 40
## 431 2018 1457 40
## 432 2018 1486 NA
## 433 2018 1534 45
## 434 2018 1572 NA
## 435 2018 2081 13
## 436 2018 2254 60
## 437 2016 939 40
## 438 2016 1186 NA
## 439 2016 1686 18
## 440 2016 2344 43
## 441 2016 2750 NA
## 442 2018 357 37
## 443 2018 1604 40
## 444 2018 1955 45
## 445 2018 2141 NA
## 446 2018 2181 30
## 447 2016 1231 40
## 448 2016 1635 50
## 449 2016 1854 50
## 450 2016 2389 30
## 451 2018 815 20
## 452 2018 967 21
## 453 2018 1544 24
## 454 2018 1975 35
## 455 2018 1979 45
## 456 2016 574 50
## 457 2016 733 NA
## 458 2016 1850 30
## 459 2016 2027 NA
## 460 2016 2043 28
## 461 2016 2221 28
## 462 2016 2410 26
## 463 2016 2419 35
## 464 2018 2326 55
## 465 2016 55 4
## 466 2016 180 10
## 467 2016 606 16
## 468 2016 793 NA
## 469 2016 970 NA
## 470 2016 1682 20
## 471 2018 600 38
## 472 2018 841 20
## 473 2018 2263 35
## 474 2016 133 NA
## 475 2016 209 12
## 476 2016 351 30
## 477 2016 699 25
## 478 2016 1750 NA
## 479 2016 1928 32
## 480 2018 610 45
## 481 2018 1125 36
## 482 2016 199 25
## 483 2016 304 68
## 484 2016 975 8
## 485 2016 1003 40
## 486 2016 1890 NA
## 487 2018 1249 40
## 488 2018 1423 NA
## 489 2018 1455 NA
## 490 2018 1699 55
## 491 2018 1828 NA
## 492 2018 1905 40
## 493 2018 2066 20
## 494 2016 53 20
## 495 2016 913 33
## 496 2016 964 7
## 497 2016 1250 45
## 498 2016 1307 9
## 499 2016 2042 22
## 500 2016 2116 19
## 501 2016 2182 NA
## 502 2016 2299 NA
## 503 2016 2363 20
## 504 2016 2390 20
## 505 2016 2549 48
## 506 2016 2856 NA
## 507 2018 9 40
## 508 2018 721 NA
## 509 2018 907 40
## 510 2018 1873 42
## 511 2018 2276 50
## 512 2016 296 27
## 513 2016 731 25
## 514 2016 854 15
## 515 2016 1529 NA
## 516 2016 2174 4
## 517 2016 2763 NA
## 518 2018 1115 10
## 519 2018 1775 40
## 520 2018 1884 40
## 521 2018 2127 NA
## 522 2018 2304 NA
## occupation
## 1 First-line supervisors of gaming workers
## 2 Miscellaneous social scientists and related workers
## 3 Miscellaneous personal appearance workers
## 4 Sales and related workers, all other
## 5 Artists and related workers
## 6 Miscellaneous legal support workers
## 7 First-line supervisors of production and operating workers
## 8 Musicians, singers, and related workers
## 9 Human resources workers
## 10 First-line supervisors of office and administrative support workers
## 11 Athletes, coaches, umpires, and related workers
## 12 Driver/sales workers and truck drivers
## 13 First-line supervisors of construction trades and extraction workers
## 14 First-line supervisors of office and administrative support workers
## 15 Welding, soldering, and brazing workers
## 16 Driver/sales workers and truck drivers
## 17 Driver/sales workers and truck drivers
## 18 Social workers
## 19 Human resources workers
## 20 Maintenance and repair workers, general
## 21 Social workers
## 22 Production workers, all other
## 23 First-line supervisors of retail sales workers
## 24 Production workers, all other
## 25 Cutting workers
## 26 First-line supervisors of office and administrative support workers
## 27 Photographic process workers and processing machine operators
## 28 First-line supervisors of retail sales workers
## 29 Social workers
## 30 Miscellaneous social scientists and related workers
## 31 Grounds maintenance workers
## 32 Human resources workers
## 33 Hazardous materials removal workers
## 34 Insulation workers
## 35 Grounds maintenance workers
## 36 Athletes, coaches, umpires, and related workers
## 37 Human resources workers
## 38 Food preparation workers
## 39 Social workers
## 40 Welding, soldering, and brazing workers
## 41 First-line supervisors of non-retail sales workers
## 42 First-line supervisors of retail sales workers
## 43 Driver/sales workers and truck drivers
## 44 Recreation and fitness workers
## 45 Other installation, maintenance, and repair workers
## 46 Personal care and service workers, all other
## 47 First-line supervisors of retail sales workers
## 48 Religious workers, all other
## 49 Material moving workers, all other
## 50 First-line supervisors of food preparation and serving workers
## 51 Childcare workers
## 52 Miscellaneous personal appearance workers
## 53 Childcare workers
## 54 Miscellaneous legal support workers
## 55 First-line supervisors of retail sales workers
## 56 Material moving workers, all other
## 57 Driver/sales workers and truck drivers
## 58 First-line supervisors of production and operating workers
## 59 Sales and related workers, all other
## 60 Sales and related workers, all other
## 61 Production workers, all other
## 62 Material moving workers, all other
## 63 Human resources workers
## 64 First-line supervisors of construction trades and extraction workers
## 65 Childcare workers
## 66 Driver/sales workers and truck drivers
## 67 Miscellaneous agricultural workers
## 68 First-line supervisors of office and administrative support workers
## 69 Production workers, all other
## 70 Social workers
## 71 Social workers
## 72 First-line supervisors of retail sales workers
## 73 First-line supervisors of housekeeping and janitorial workers
## 74 Welding, soldering, and brazing workers
## 75 Driver/sales workers and truck drivers
## 76 First-line supervisors of office and administrative support workers
## 77 Welding, soldering, and brazing workers
## 78 Welding, soldering, and brazing workers
## 79 Driver/sales workers and truck drivers
## 80 Driver/sales workers and truck drivers
## 81 First-line supervisors of retail sales workers
## 82 First-line supervisors of office and administrative support workers
## 83 Human resources workers
## 84 First-line supervisors of office and administrative support workers
## 85 First-line supervisors of retail sales workers
## 86 Social workers
## 87 Sales and related workers, all other
## 88 Material moving workers, all other
## 89 First-line supervisors of retail sales workers
## 90 Production workers, all other
## 91 First-line supervisors of construction trades and extraction workers
## 92 First-line supervisors of retail sales workers
## 93 Driver/sales workers and truck drivers
## 94 Social workers
## 95 First-line supervisors of production and operating workers
## 96 Maintenance and repair workers, general
## 97 First-line supervisors of office and administrative support workers
## 98 First-line supervisors of non-retail sales workers
## 99 First-line supervisors of food preparation and serving workers
## 100 First-line supervisors of retail sales workers
## 101 First-line supervisors of construction trades and extraction workers
## 102 Office and administrative support workers, all other
## 103 First-line supervisors of non-retail sales workers
## 104 First-line supervisors of non-retail sales workers
## 105 First-line supervisors of construction trades and extraction workers
## 106 First-line supervisors of landscaping, lawn service, and groundskeeping workers
## 107 Highway maintenance workers
## 108 Social workers
## 109 Human resources workers
## 110 Office and administrative support workers, all other
## 111 Human resources workers
## 112 Office and administrative support workers, all other
## 113 Sales and related workers, all other
## 114 Athletes, coaches, umpires, and related workers
## 115 First-line supervisors of office and administrative support workers
## 116 Supervisors of transportation and material moving workers
## 117 Driver/sales workers and truck drivers
## 118 Production workers, all other
## 119 First-line supervisors of retail sales workers
## 120 Driver/sales workers and truck drivers
## 121 Grounds maintenance workers
## 122 Pest control workers
## 123 Social workers
## 124 Driver/sales workers and truck drivers
## 125 First-line supervisors of retail sales workers
## 126 Other installation, maintenance, and repair workers
## 127 Miscellaneous entertainment attendants and related workers
## 128 First-line supervisors of retail sales workers
## 129 First-line supervisors of production and operating workers
## 130 Social workers
## 131 Production workers, all other
## 132 Supervisors of transportation and material moving workers
## 133 Production workers, all other
## 134 Crushing, grinding, polishing, mixing, and blending workers
## 135 Driver/sales workers and truck drivers
## 136 Recreation and fitness workers
## 137 Office and administrative support workers, all other
## 138 Production workers, all other
## 139 Driver/sales workers and truck drivers
## 140 Athletes, coaches, umpires, and related workers
## 141 Childcare workers
## 142 First-line supervisors of food preparation and serving workers
## 143 Prepress technicians and workers
## 144 Human resources workers
## 145 Driver/sales workers and truck drivers
## 146 Welding, soldering, and brazing workers
## 147 Other education, training, and library workers
## 148 Human resources workers
## 149 Grounds maintenance workers
## 150 Driver/sales workers and truck drivers
## 151 Other extraction workers
## 152 Maintenance and repair workers, general
## 153 First-line supervisors of retail sales workers
## 154 First-line supervisors of retail sales workers
## 155 Other education, training, and library workers
## 156 First-line supervisors of office and administrative support workers
## 157 Miscellaneous agricultural workers
## 158 First-line supervisors of farming, fishing, and forestry workers
## 159 First-line supervisors of non-retail sales workers
## 160 Forest and conservation workers
## 161 First-line supervisors of production and operating workers
## 162 First-line supervisors of office and administrative support workers
## 163 Office and administrative support workers, all other
## 164 First-line supervisors of non-retail sales workers
## 165 Artists and related workers
## 166 Social workers
## 167 First-line supervisors of office and administrative support workers
## 168 Driver/sales workers and truck drivers
## 169 Explosives workers, ordnance handling experts, and blasters
## 170 Other installation, maintenance, and repair workers
## 171 Social workers
## 172 Human resources workers
## 173 First-line supervisors of retail sales workers
## 174 Driver/sales workers and truck drivers
## 175 Production workers, all other
## 176 First-line supervisors of food preparation and serving workers
## 177 Supervisors of transportation and material moving workers
## 178 Driver/sales workers and truck drivers
## 179 First-line supervisors of office and administrative support workers
## 180 Welding, soldering, and brazing workers
## 181 Miscellaneous agricultural workers
## 182 First-line supervisors of non-retail sales workers
## 183 Driver/sales workers and truck drivers
## 184 Welding, soldering, and brazing workers
## 185 First-line supervisors of office and administrative support workers
## 186 First-line supervisors of production and operating workers
## 187 Sheet metal workers
## 188 First-line supervisors of retail sales workers
## 189 Miscellaneous media and communication workers
## 190 First-line supervisors of food preparation and serving workers
## 191 Judges, magistrates, and other judicial workers
## 192 Social workers
## 193 Sales and related workers, all other
## 194 Maintenance and repair workers, general
## 195 Sales and related workers, all other
## 196 Food processing workers, all other
## 197 First-line supervisors of non-retail sales workers
## 198 First-line supervisors of office and administrative support workers
## 199 First-line supervisors of retail sales workers
## 200 First-line supervisors of retail sales workers
## 201 First-line supervisors of production and operating workers
## 202 Human resources workers
## 203 Food preparation workers
## 204 First-line supervisors of landscaping, lawn service, and groundskeeping workers
## 205 First-line supervisors of production and operating workers
## 206 Maintenance and repair workers, general
## 207 First-line supervisors of office and administrative support workers
## 208 Metal workers and plastic workers, all other
## 209 First-line supervisors of construction trades and extraction workers
## 210 First-line supervisors of office and administrative support workers
## 211 First-line supervisors of retail sales workers
## 212 Judges, magistrates, and other judicial workers
## 213 Office and administrative support workers, all other
## 214 Miscellaneous legal support workers
## 215 First-line supervisors of office and administrative support workers
## 216 Office and administrative support workers, all other
## 217 First-line supervisors of retail sales workers
## 218 Welding, soldering, and brazing workers
## 219 Social workers
## 220 Production workers, all other
## 221 First-line supervisors of retail sales workers
## 222 First-line supervisors of retail sales workers
## 223 Social workers
## 224 Human resources workers
## 225 First-line supervisors of office and administrative support workers
## 226 Painting workers
## 227 Miscellaneous legal support workers
## 228 Welding, soldering, and brazing workers
## 229 First-line supervisors of non-retail sales workers
## 230 Miscellaneous legal support workers
## 231 Driver/sales workers and truck drivers
## 232 First-line supervisors of office and administrative support workers
## 233 Material moving workers, all other
## 234 Production workers, all other
## 235 First-line supervisors of food preparation and serving workers
## 236 Driver/sales workers and truck drivers
## 237 First-line supervisors of housekeeping and janitorial workers
## 238 Driver/sales workers and truck drivers
## 239 Helpers—installation, maintenance, and repair workers
## 240 Driver/sales workers and truck drivers
## 241 Highway maintenance workers
## 242 Driver/sales workers and truck drivers
## 243 Grounds maintenance workers
## 244 Welding, soldering, and brazing workers
## 245 First-line supervisors of non-retail sales workers
## 246 First-line supervisors of office and administrative support workers
## 247 Religious workers, all other
## 248 Driver/sales workers and truck drivers
## 249 Production workers, all other
## 250 Production workers, all other
## 251 Office and administrative support workers, all other
## 252 First-line supervisors of office and administrative support workers
## 253 Miscellaneous agricultural workers
## 254 First-line supervisors of production and operating workers
## 255 Structural iron and steel workers
## 256 Driver/sales workers and truck drivers
## 257 Maintenance and repair workers, general
## 258 First-line supervisors of office and administrative support workers
## 259 First-line supervisors of construction trades and extraction workers
## 260 Production workers, all other
## 261 Welding, soldering, and brazing workers
## 262 Human resources workers
## 263 First-line supervisors of office and administrative support workers
## 264 First-line supervisors of personal service workers
## 265 Miscellaneous media and communication workers
## 266 Driver/sales workers and truck drivers
## 267 First-line supervisors of retail sales workers
## 268 Human resources workers
## 269 Grounds maintenance workers
## 270 First-line supervisors of retail sales workers
## 271 Helpers—installation, maintenance, and repair workers
## 272 First-line supervisors of non-retail sales workers
## 273 First-line supervisors of office and administrative support workers
## 274 Print binding and finishing workers
## 275 Driver/sales workers and truck drivers
## 276 Maintenance and repair workers, general
## 277 First-line supervisors of office and administrative support workers
## 278 Pest control workers
## 279 First-line supervisors of office and administrative support workers
## 280 First-line supervisors of housekeeping and janitorial workers
## 281 Social workers
## 282 First-line supervisors of office and administrative support workers
## 283 First-line supervisors of construction trades and extraction workers
## 284 Driver/sales workers and truck drivers
## 285 First-line supervisors of retail sales workers
## 286 Miscellaneous agricultural workers
## 287 First-line supervisors of production and operating workers
## 288 Driver/sales workers and truck drivers
## 289 First-line supervisors of retail sales workers
## 290 Helpers—installation, maintenance, and repair workers
## 291 Social workers
## 292 First-line supervisors of non-retail sales workers
## 293 First-line supervisors of retail sales workers
## 294 Crushing, grinding, polishing, mixing, and blending workers
## 295 Sheet metal workers
## 296 Social workers
## 297 Miscellaneous legal support workers
## 298 Social workers
## 299 Grounds maintenance workers
## 300 Other extraction workers
## 301 Material moving workers, all other
## 302 Driver/sales workers and truck drivers
## 303 First-line supervisors of construction trades and extraction workers
## 304 Food preparation workers
## 305 First-line supervisors of office and administrative support workers
## 306 First-line supervisors of office and administrative support workers
## 307 First-line supervisors of office and administrative support workers
## 308 First-line supervisors of fire fighting and prevention workers
## 309 Human resources workers
## 310 Miscellaneous legal support workers
## 311 First-line supervisors of construction trades and extraction workers
## 312 Grounds maintenance workers
## 313 Highway maintenance workers
## 314 Social workers
## 315 Highway maintenance workers
## 316 Sheet metal workers
## 317 Driver/sales workers and truck drivers
## 318 Food preparation workers
## 319 First-line supervisors of construction trades and extraction workers
## 320 First-line supervisors of construction trades and extraction workers
## 321 First-line supervisors of retail sales workers
## 322 First-line supervisors of food preparation and serving workers
## 323 Personal care and service workers, all other
## 324 First-line supervisors of personal service workers
## 325 Driver/sales workers and truck drivers
## 326 Sales and related workers, all other
## 327 First-line supervisors of construction trades and extraction workers
## 328 Grounds maintenance workers
## 329 Production workers, all other
## 330 First-line supervisors of food preparation and serving workers
## 331 First-line supervisors of retail sales workers
## 332 Religious workers, all other
## 333 First-line supervisors of production and operating workers
## 334 Combined food preparation and serving workers, including fast food
## 335 First-line supervisors of retail sales workers
## 336 Production workers, all other
## 337 Miscellaneous legal support workers
## 338 Social workers
## 339 First-line supervisors of office and administrative support workers
## 340 First-line supervisors of food preparation and serving workers
## 341 First-line supervisors of construction trades and extraction workers
## 342 Parking enforcement workers
## 343 Grounds maintenance workers
## 344 Grounds maintenance workers
## 345 First-line supervisors of retail sales workers
## 346 Driver/sales workers and truck drivers
## 347 Miscellaneous personal appearance workers
## 348 Butchers and other meat, poultry, and fish processing workers
## 349 Childcare workers
## 350 Grounds maintenance workers
## 351 First-line supervisors of retail sales workers
## 352 First-line supervisors of construction trades and extraction workers
## 353 First-line supervisors of food preparation and serving workers
## 354 First-line supervisors of landscaping, lawn service, and groundskeeping workers
## 355 Childcare workers
## 356 Animal control workers
## 357 Textile, apparel, and furnishings workers, all other
## 358 Athletes, coaches, umpires, and related workers
## 359 Grounds maintenance workers
## 360 Office and administrative support workers, all other
## 361 First-line supervisors of non-retail sales workers
## 362 First-line supervisors of construction trades and extraction workers
## 363 First-line supervisors of retail sales workers
## 364 Gaming services workers
## 365 Social workers
## 366 Crushing, grinding, polishing, mixing, and blending workers
## 367 First-line supervisors of housekeeping and janitorial workers
## 368 Food processing workers, all other
## 369 Butchers and other meat, poultry, and fish processing workers
## 370 Combined food preparation and serving workers, including fast food
## 371 First-line supervisors of office and administrative support workers
## 372 First-line supervisors of construction trades and extraction workers
## 373 Combined food preparation and serving workers, including fast food
## 374 Textile, apparel, and furnishings workers, all other
## 375 Driver/sales workers and truck drivers
## 376 Grounds maintenance workers
## 377 Grounds maintenance workers
## 378 Combined food preparation and serving workers, including fast food
## 379 Personal care and service workers, all other
## 380 First-line supervisors of retail sales workers
## 381 Driver/sales workers and truck drivers
## 382 Driver/sales workers and truck drivers
## 383 Driver/sales workers and truck drivers
## 384 Grounds maintenance workers
## 385 Door-to-door sales workers, news and street vendors, and related workers
## 386 Grounds maintenance workers
## 387 Helpers—installation, maintenance, and repair workers
## 388 Religious workers, all other
## 389 Sales and related workers, all other
## 390 Social workers
## 391 Miscellaneous personal appearance workers
## 392 Driver/sales workers and truck drivers
## 393 Athletes, coaches, umpires, and related workers
## 394 First-line supervisors of food preparation and serving workers
## 395 First-line supervisors of production and operating workers
## 396 Driver/sales workers and truck drivers
## 397 Sheet metal workers
## 398 Combined food preparation and serving workers, including fast food
## 399 First-line supervisors of farming, fishing, and forestry workers
## 400 Childcare workers
## 401 Childcare workers
## 402 Human resources workers
## 403 Childcare workers
## 404 Childcare workers
## 405 Metal workers and plastic workers, all other
## 406 Food preparation workers
## 407 First-line supervisors of food preparation and serving workers
## 408 Childcare workers
## 409 Grounds maintenance workers
## 410 First-line supervisors of office and administrative support workers
## 411 Door-to-door sales workers, news and street vendors, and related workers
## 412 Athletes, coaches, umpires, and related workers
## 413 Driver/sales workers and truck drivers
## 414 Grounds maintenance workers
## 415 Miscellaneous agricultural workers
## 416 Food preparation workers
## 417 Maintenance and repair workers, general
## 418 First-line supervisors of landscaping, lawn service, and groundskeeping workers
## 419 Grounds maintenance workers
## 420 First-line supervisors of retail sales workers
## 421 Driver/sales workers and truck drivers
## 422 Recreation and fitness workers
## 423 First-line supervisors of office and administrative support workers
## 424 Childcare workers
## 425 Office and administrative support workers, all other
## 426 Driver/sales workers and truck drivers
## 427 First-line supervisors of retail sales workers
## 428 First-line supervisors of retail sales workers
## 429 Human resources workers
## 430 Grounds maintenance workers
## 431 Grounds maintenance workers
## 432 Athletes, coaches, umpires, and related workers
## 433 Grounds maintenance workers
## 434 Combined food preparation and serving workers, including fast food
## 435 Childcare workers
## 436 Grounds maintenance workers
## 437 Social workers
## 438 Miscellaneous agricultural workers
## 439 Grounds maintenance workers
## 440 Food preparation workers
## 441 First-line supervisors of farming, fishing, and forestry workers
## 442 Childcare workers
## 443 Religious workers, all other
## 444 Sheet metal workers
## 445 First-line supervisors of retail sales workers
## 446 Combined food preparation and serving workers, including fast food
## 447 Childcare workers
## 448 First-line supervisors of retail sales workers
## 449 First-line supervisors of retail sales workers
## 450 Miscellaneous agricultural workers
## 451 Food preparation workers
## 452 Combined food preparation and serving workers, including fast food
## 453 Miscellaneous agricultural workers
## 454 Food preparation workers
## 455 Miscellaneous agricultural workers
## 456 Driver/sales workers and truck drivers
## 457 Food preparation workers
## 458 Maintenance and repair workers, general
## 459 Metal workers and plastic workers, all other
## 460 Food preparation workers
## 461 First-line supervisors of non-retail sales workers
## 462 Miscellaneous agricultural workers
## 463 Miscellaneous agricultural workers
## 464 Combined food preparation and serving workers, including fast food
## 465 Sales and related workers, all other
## 466 Miscellaneous entertainment attendants and related workers
## 467 Childcare workers
## 468 Entertainers and performers, sports and related workers, all other
## 469 Personal care and service workers, all other
## 470 Artists and related workers
## 471 Welding, soldering, and brazing workers
## 472 Childcare workers
## 473 Grounds maintenance workers
## 474 First-line supervisors of office and administrative support workers
## 475 First-line supervisors of food preparation and serving workers
## 476 Childcare workers
## 477 Childcare workers
## 478 Musicians, singers, and related workers
## 479 Childcare workers
## 480 Miscellaneous agricultural workers
## 481 Recreation and fitness workers
## 482 Food preparation workers
## 483 Driver/sales workers and truck drivers
## 484 Athletes, coaches, umpires, and related workers
## 485 First-line supervisors of retail sales workers
## 486 First-line supervisors of retail sales workers
## 487 Human resources workers
## 488 Recreation and fitness workers
## 489 Combined food preparation and serving workers, including fast food
## 490 Combined food preparation and serving workers, including fast food
## 491 Prepress technicians and workers
## 492 Combined food preparation and serving workers, including fast food
## 493 First-line supervisors of construction trades and extraction workers
## 494 Lifeguards and other recreational, and all other protective service workers
## 495 Recreation and fitness workers
## 496 Combined food preparation and serving workers, including fast food
## 497 Personal care and service workers, all other
## 498 Miscellaneous entertainment attendants and related workers
## 499 Childcare workers
## 500 Food preparation workers
## 501 Driver/sales workers and truck drivers
## 502 Childcare workers
## 503 Childcare workers
## 504 Food preparation workers
## 505 Welding, soldering, and brazing workers
## 506 Combined food preparation and serving workers, including fast food
## 507 Childcare workers
## 508 Childcare workers
## 509 Combined food preparation and serving workers, including fast food
## 510 Combined food preparation and serving workers, including fast food
## 511 Welding, soldering, and brazing workers
## 512 Childcare workers
## 513 Miscellaneous personal appearance workers
## 514 Miscellaneous agricultural workers
## 515 First-line supervisors of office and administrative support workers
## 516 Grounds maintenance workers
## 517 Miscellaneous agricultural workers
## 518 Driver/sales workers and truck drivers
## 519 Miscellaneous construction and related workers
## 520 Logging workers
## 521 Childcare workers
## 522 Miscellaneous agricultural workers
## age educ sex income income_recode educ_recode
## 1 68 12 Female $25000 or more 25000 1_hs
## 2 36 20 Female $25000 or more 25000 4_Advanced
## 3 42 16 Female $25000 or more 25000 3_Bachelors
## 4 52 12 Male $25000 or more 25000 1_hs
## 5 58 15 Male $25000 or more 25000 2_some_college
## 6 58 16 Female $25000 or more 25000 3_Bachelors
## 7 49 12 Female $25000 or more 25000 1_hs
## 8 39 18 Male $25000 or more 25000 4_Advanced
## 9 25 13 Female $25000 or more 25000 2_some_college
## 10 51 14 Female $25000 or more 25000 2_some_college
## 11 67 14 Male $25000 or more 25000 2_some_college
## 12 77 12 Male $25000 or more 25000 1_hs
## 13 47 13 Male $25000 or more 25000 2_some_college
## 14 33 18 Female $25000 or more 25000 4_Advanced
## 15 42 12 Male $25000 or more 25000 1_hs
## 16 25 12 Male $25000 or more 25000 1_hs
## 17 44 11 Male $25000 or more 25000 0_no_1_hs
## 18 38 14 Male $25000 or more 25000 2_some_college
## 19 50 19 Male $25000 or more 25000 4_Advanced
## 20 41 12 Male $25000 or more 25000 1_hs
## 21 30 19 Female $25000 or more 25000 4_Advanced
## 22 39 12 Male $25000 or more 25000 1_hs
## 23 58 17 Male $25000 or more 25000 4_Advanced
## 24 32 18 Female $25000 or more 25000 4_Advanced
## 25 53 12 Male $25000 or more 25000 1_hs
## 26 60 16 Male $25000 or more 25000 3_Bachelors
## 27 51 18 Male $25000 or more 25000 4_Advanced
## 28 40 13 Female $25000 or more 25000 2_some_college
## 29 65 16 Female $25000 or more 25000 3_Bachelors
## 30 49 14 Male $25000 or more 25000 2_some_college
## 31 59 11 Male $25000 or more 25000 0_no_1_hs
## 32 44 18 Male $25000 or more 25000 4_Advanced
## 33 52 10 Male $25000 or more 25000 0_no_1_hs
## 34 44 6 Male $25000 or more 25000 0_no_1_hs
## 35 43 12 Male $25000 or more 25000 1_hs
## 36 64 16 Male $25000 or more 25000 3_Bachelors
## 37 28 16 Male $25000 or more 25000 3_Bachelors
## 38 34 13 Male $25000 or more 25000 2_some_college
## 39 42 16 Female $25000 or more 25000 3_Bachelors
## 40 32 12 Male $25000 or more 25000 1_hs
## 41 51 13 Male $25000 or more 25000 2_some_college
## 42 37 14 Female $25000 or more 25000 2_some_college
## 43 58 13 Male $25000 or more 25000 2_some_college
## 44 63 16 Male $25000 or more 25000 3_Bachelors
## 45 42 12 Male $25000 or more 25000 1_hs
## 46 46 12 Female $25000 or more 25000 1_hs
## 47 68 13 Female $25000 or more 25000 2_some_college
## 48 61 12 Female $25000 or more 25000 1_hs
## 49 59 12 Male $25000 or more 25000 1_hs
## 50 27 14 Male $25000 or more 25000 2_some_college
## 51 48 13 Female $25000 or more 25000 2_some_college
## 52 31 14 Female $25000 or more 25000 2_some_college
## 53 56 12 Female $25000 or more 25000 1_hs
## 54 32 18 Female $25000 or more 25000 4_Advanced
## 55 28 16 Female $25000 or more 25000 3_Bachelors
## 56 38 14 Female $25000 or more 25000 2_some_college
## 57 51 12 Male $25000 or more 25000 1_hs
## 58 27 12 Male $25000 or more 25000 1_hs
## 59 34 16 Female $25000 or more 25000 3_Bachelors
## 60 51 15 Male $25000 or more 25000 2_some_college
## 61 23 13 Male $25000 or more 25000 2_some_college
## 62 35 12 Male $25000 or more 25000 1_hs
## 63 30 12 Male $25000 or more 25000 1_hs
## 64 51 12 Male $25000 or more 25000 1_hs
## 65 54 14 Female $25000 or more 25000 2_some_college
## 66 29 12 Male $25000 or more 25000 1_hs
## 67 24 11 Female $25000 or more 25000 0_no_1_hs
## 68 64 16 Female $25000 or more 25000 3_Bachelors
## 69 46 14 Female $25000 or more 25000 2_some_college
## 70 61 16 Female $25000 or more 25000 3_Bachelors
## 71 32 18 Male $25000 or more 25000 4_Advanced
## 72 39 12 Female $25000 or more 25000 1_hs
## 73 43 14 Female $25000 or more 25000 2_some_college
## 74 39 12 Male $25000 or more 25000 1_hs
## 75 65 12 Male $25000 or more 25000 1_hs
## 76 52 18 Female $25000 or more 25000 4_Advanced
## 77 56 10 Male $25000 or more 25000 0_no_1_hs
## 78 58 12 Male $25000 or more 25000 1_hs
## 79 48 12 Male $25000 or more 25000 1_hs
## 80 31 12 Male $25000 or more 25000 1_hs
## 81 35 15 Male $25000 or more 25000 2_some_college
## 82 41 20 Male $25000 or more 25000 4_Advanced
## 83 46 16 Male $25000 or more 25000 3_Bachelors
## 84 27 14 Female $25000 or more 25000 2_some_college
## 85 24 12 Male $25000 or more 25000 1_hs
## 86 28 16 Female $25000 or more 25000 3_Bachelors
## 87 35 16 Female $25000 or more 25000 3_Bachelors
## 88 40 16 Male $25000 or more 25000 3_Bachelors
## 89 30 12 Male $25000 or more 25000 1_hs
## 90 55 12 Male $25000 or more 25000 1_hs
## 91 50 13 Male $25000 or more 25000 2_some_college
## 92 52 16 Male $25000 or more 25000 3_Bachelors
## 93 36 12 Male $25000 or more 25000 1_hs
## 94 26 17 Female $25000 or more 25000 4_Advanced
## 95 47 12 Male $25000 or more 25000 1_hs
## 96 24 15 Male $25000 or more 25000 2_some_college
## 97 54 16 Female $25000 or more 25000 3_Bachelors
## 98 37 19 Male $25000 or more 25000 4_Advanced
## 99 31 14 Male $25000 or more 25000 2_some_college
## 100 83 9 Male $25000 or more 25000 0_no_1_hs
## 101 53 12 Male $25000 or more 25000 1_hs
## 102 31 12 Female $25000 or more 25000 1_hs
## 103 44 14 Male $25000 or more 25000 2_some_college
## 104 50 12 Female $25000 or more 25000 1_hs
## 105 63 12 Female $25000 or more 25000 1_hs
## 106 28 14 Male $25000 or more 25000 2_some_college
## 107 57 12 Male $25000 or more 25000 1_hs
## 108 66 16 Female $25000 or more 25000 3_Bachelors
## 109 48 13 Male $25000 or more 25000 2_some_college
## 110 30 14 Male $25000 or more 25000 2_some_college
## 111 56 17 Female $25000 or more 25000 4_Advanced
## 112 43 13 Female $25000 or more 25000 2_some_college
## 113 27 16 Male $25000 or more 25000 3_Bachelors
## 114 52 18 Male $25000 or more 25000 4_Advanced
## 115 50 16 Female $25000 or more 25000 3_Bachelors
## 116 34 16 Male $25000 or more 25000 3_Bachelors
## 117 41 12 Male $25000 or more 25000 1_hs
## 118 28 12 Male $25000 or more 25000 1_hs
## 119 27 14 Female $25000 or more 25000 2_some_college
## 120 72 8 Male $25000 or more 25000 0_no_1_hs
## 121 65 14 Male $25000 or more 25000 2_some_college
## 122 57 12 Male $25000 or more 25000 1_hs
## 123 36 16 Female $25000 or more 25000 3_Bachelors
## 124 43 9 Male $25000 or more 25000 0_no_1_hs
## 125 53 13 Female $25000 or more 25000 2_some_college
## 126 44 12 Male $25000 or more 25000 1_hs
## 127 52 16 Female $25000 or more 25000 3_Bachelors
## 128 41 14 Female $25000 or more 25000 2_some_college
## 129 58 12 Male $25000 or more 25000 1_hs
## 130 55 16 Female $25000 or more 25000 3_Bachelors
## 131 57 12 Female $25000 or more 25000 1_hs
## 132 44 16 Male $25000 or more 25000 3_Bachelors
## 133 39 19 Male $25000 or more 25000 4_Advanced
## 134 29 16 Male $25000 or more 25000 3_Bachelors
## 135 59 12 Male $25000 or more 25000 1_hs
## 136 32 16 Male $25000 or more 25000 3_Bachelors
## 137 60 19 Male $25000 or more 25000 4_Advanced
## 138 52 12 Male $25000 or more 25000 1_hs
## 139 57 12 Male $25000 or more 25000 1_hs
## 140 60 16 Female $25000 or more 25000 3_Bachelors
## 141 72 12 Female $25000 or more 25000 1_hs
## 142 57 13 Male $25000 or more 25000 2_some_college
## 143 49 12 Male $25000 or more 25000 1_hs
## 144 48 12 Female $25000 or more 25000 1_hs
## 145 45 14 Male $25000 or more 25000 2_some_college
## 146 33 11 Male $25000 or more 25000 0_no_1_hs
## 147 62 19 Female $25000 or more 25000 4_Advanced
## 148 24 16 Female $25000 or more 25000 3_Bachelors
## 149 32 16 Male $25000 or more 25000 3_Bachelors
## 150 29 12 Male $25000 or more 25000 1_hs
## 151 33 10 Male $25000 or more 25000 0_no_1_hs
## 152 54 12 Male $25000 or more 25000 1_hs
## 153 58 14 Female $25000 or more 25000 2_some_college
## 154 46 20 Female $25000 or more 25000 4_Advanced
## 155 52 16 Female $25000 or more 25000 3_Bachelors
## 156 37 13 Female $25000 or more 25000 2_some_college
## 157 49 1 Male $25000 or more 25000 0_no_1_hs
## 158 28 12 Male $25000 or more 25000 1_hs
## 159 52 16 Female $25000 or more 25000 3_Bachelors
## 160 33 9 Male $25000 or more 25000 0_no_1_hs
## 161 31 12 Female $25000 or more 25000 1_hs
## 162 62 16 Female $25000 or more 25000 3_Bachelors
## 163 57 14 Female $25000 or more 25000 2_some_college
## 164 48 12 Male $25000 or more 25000 1_hs
## 165 73 19 Male $25000 or more 25000 4_Advanced
## 166 50 20 Female $25000 or more 25000 4_Advanced
## 167 28 13 Male $25000 or more 25000 2_some_college
## 168 33 12 Male $25000 or more 25000 1_hs
## 169 40 10 Male $25000 or more 25000 0_no_1_hs
## 170 56 16 Male $25000 or more 25000 3_Bachelors
## 171 46 18 Female $25000 or more 25000 4_Advanced
## 172 69 13 Male $25000 or more 25000 2_some_college
## 173 43 18 Female $25000 or more 25000 4_Advanced
## 174 58 14 Male $25000 or more 25000 2_some_college
## 175 35 14 Male $25000 or more 25000 2_some_college
## 176 46 14 Male $25000 or more 25000 2_some_college
## 177 53 12 Female $25000 or more 25000 1_hs
## 178 25 12 Male $25000 or more 25000 1_hs
## 179 24 16 Male $25000 or more 25000 3_Bachelors
## 180 24 12 Male $25000 or more 25000 1_hs
## 181 22 12 Female $25000 or more 25000 1_hs
## 182 48 12 Male $25000 or more 25000 1_hs
## 183 61 12 Male $25000 or more 25000 1_hs
## 184 39 12 Male $25000 or more 25000 1_hs
## 185 50 14 Male $25000 or more 25000 2_some_college
## 186 52 19 Female $25000 or more 25000 4_Advanced
## 187 40 12 Male $25000 or more 25000 1_hs
## 188 40 12 Male $25000 or more 25000 1_hs
## 189 57 20 Female $25000 or more 25000 4_Advanced
## 190 40 13 Female $25000 or more 25000 2_some_college
## 191 42 16 Male $25000 or more 25000 3_Bachelors
## 192 45 16 Male $25000 or more 25000 3_Bachelors
## 193 70 16 Male $25000 or more 25000 3_Bachelors
## 194 55 14 Male $25000 or more 25000 2_some_college
## 195 58 12 Female $25000 or more 25000 1_hs
## 196 46 13 Male $25000 or more 25000 2_some_college
## 197 60 16 Male $25000 or more 25000 3_Bachelors
## 198 38 16 Female $25000 or more 25000 3_Bachelors
## 199 29 13 Male $25000 or more 25000 2_some_college
## 200 47 12 Male $25000 or more 25000 1_hs
## 201 46 14 Male $25000 or more 25000 2_some_college
## 202 33 12 Female $25000 or more 25000 1_hs
## 203 28 17 Female $25000 or more 25000 4_Advanced
## 204 26 13 Male $25000 or more 25000 2_some_college
## 205 36 12 Male $25000 or more 25000 1_hs
## 206 31 12 Male $25000 or more 25000 1_hs
## 207 58 16 Male $25000 or more 25000 3_Bachelors
## 208 51 12 Male $25000 or more 25000 1_hs
## 209 60 12 Male $25000 or more 25000 1_hs
## 210 39 15 Female $25000 or more 25000 2_some_college
## 211 50 12 Male $25000 or more 25000 1_hs
## 212 34 16 Female $25000 or more 25000 3_Bachelors
## 213 26 16 Female $25000 or more 25000 3_Bachelors
## 214 60 20 Male $25000 or more 25000 4_Advanced
## 215 40 16 Female $25000 or more 25000 3_Bachelors
## 216 41 16 Female $25000 or more 25000 3_Bachelors
## 217 34 16 Male $25000 or more 25000 3_Bachelors
## 218 53 13 Male $25000 or more 25000 2_some_college
## 219 49 16 Female $25000 or more 25000 3_Bachelors
## 220 47 12 Male $25000 or more 25000 1_hs
## 221 31 14 Female $25000 or more 25000 2_some_college
## 222 22 12 Male $25000 or more 25000 1_hs
## 223 37 19 Female $25000 or more 25000 4_Advanced
## 224 43 18 Male $25000 or more 25000 4_Advanced
## 225 46 16 Female $25000 or more 25000 3_Bachelors
## 226 33 12 Male $25000 or more 25000 1_hs
## 227 66 17 Male $25000 or more 25000 4_Advanced
## 228 63 12 Male $25000 or more 25000 1_hs
## 229 56 12 Female $25000 or more 25000 1_hs
## 230 53 16 Female $25000 or more 25000 3_Bachelors
## 231 27 12 Male $25000 or more 25000 1_hs
## 232 39 15 Female $25000 or more 25000 2_some_college
## 233 28 12 Female $25000 or more 25000 1_hs
## 234 40 14 Male $25000 or more 25000 2_some_college
## 235 54 15 Male $25000 or more 25000 2_some_college
## 236 33 12 Male $25000 or more 25000 1_hs
## 237 33 12 Male $25000 or more 25000 1_hs
## 238 48 13 Male $25000 or more 25000 2_some_college
## 239 57 14 Female $25000 or more 25000 2_some_college
## 240 30 12 Male $25000 or more 25000 1_hs
## 241 36 12 Male $25000 or more 25000 1_hs
## 242 28 8 Male $25000 or more 25000 0_no_1_hs
## 243 78 10 Male $25000 or more 25000 0_no_1_hs
## 244 25 12 Male $25000 or more 25000 1_hs
## 245 56 17 Female $25000 or more 25000 4_Advanced
## 246 35 16 Male $25000 or more 25000 3_Bachelors
## 247 47 16 Male $25000 or more 25000 3_Bachelors
## 248 56 13 Male $25000 or more 25000 2_some_college
## 249 44 12 Male $25000 or more 25000 1_hs
## 250 57 12 Male $25000 or more 25000 1_hs
## 251 27 15 Female $25000 or more 25000 2_some_college
## 252 32 14 Female $25000 or more 25000 2_some_college
## 253 49 6 Male $25000 or more 25000 0_no_1_hs
## 254 22 13 Male $25000 or more 25000 2_some_college
## 255 32 16 Male $25000 or more 25000 3_Bachelors
## 256 41 16 Male $25000 or more 25000 3_Bachelors
## 257 61 14 Male $25000 or more 25000 2_some_college
## 258 42 14 Female $25000 or more 25000 2_some_college
## 259 58 14 Male $25000 or more 25000 2_some_college
## 260 54 12 Male $25000 or more 25000 1_hs
## 261 65 12 Male $25000 or more 25000 1_hs
## 262 37 14 Female $25000 or more 25000 2_some_college
## 263 60 12 Female $25000 or more 25000 1_hs
## 264 47 17 Male $25000 or more 25000 4_Advanced
## 265 31 16 Male $25000 or more 25000 3_Bachelors
## 266 40 8 Male $25000 or more 25000 0_no_1_hs
## 267 30 14 Female $25000 or more 25000 2_some_college
## 268 46 16 Female $25000 or more 25000 3_Bachelors
## 269 52 12 Male $25000 or more 25000 1_hs
## 270 38 16 Female $25000 or more 25000 3_Bachelors
## 271 28 12 Male $25000 or more 25000 1_hs
## 272 31 16 Female $25000 or more 25000 3_Bachelors
## 273 30 15 Female $25000 or more 25000 2_some_college
## 274 55 12 Male $25000 or more 25000 1_hs
## 275 41 13 Male $25000 or more 25000 2_some_college
## 276 36 14 Female $25000 or more 25000 2_some_college
## 277 30 15 Female $25000 or more 25000 2_some_college
## 278 44 9 Male $25000 or more 25000 0_no_1_hs
## 279 52 13 Female $25000 or more 25000 2_some_college
## 280 49 14 Male $25000 or more 25000 2_some_college
## 281 35 15 Female $25000 or more 25000 2_some_college
## 282 44 13 Male $25000 or more 25000 2_some_college
## 283 71 17 Female $25000 or more 25000 4_Advanced
## 284 No answer 14 Male $25000 or more 25000 2_some_college
## 285 47 12 Male $25000 or more 25000 1_hs
## 286 38 6 Male $25000 or more 25000 0_no_1_hs
## 287 58 11 Male $25000 or more 25000 0_no_1_hs
## 288 32 15 Female $25000 or more 25000 2_some_college
## 289 65 19 Male $25000 or more 25000 4_Advanced
## 290 43 16 Male $25000 or more 25000 3_Bachelors
## 291 73 16 Male $25000 or more 25000 3_Bachelors
## 292 55 12 Male $25000 or more 25000 1_hs
## 293 25 13 Female $25000 or more 25000 2_some_college
## 294 41 16 Male $25000 or more 25000 3_Bachelors
## 295 64 13 Male $25000 or more 25000 2_some_college
## 296 64 18 Female $25000 or more 25000 4_Advanced
## 297 58 12 Female $25000 or more 25000 1_hs
## 298 64 12 Female $25000 or more 25000 1_hs
## 299 27 12 Male $25000 or more 25000 1_hs
## 300 34 11 Male $25000 or more 25000 0_no_1_hs
## 301 49 13 Male $25000 or more 25000 2_some_college
## 302 39 14 Male $25000 or more 25000 2_some_college
## 303 51 14 Male $25000 or more 25000 2_some_college
## 304 30 12 Female $25000 or more 25000 1_hs
## 305 51 14 Male $25000 or more 25000 2_some_college
## 306 59 13 Male $25000 or more 25000 2_some_college
## 307 56 17 Female $25000 or more 25000 4_Advanced
## 308 44 20 Male $25000 or more 25000 4_Advanced
## 309 36 16 Female $25000 or more 25000 3_Bachelors
## 310 62 14 Female $25000 or more 25000 2_some_college
## 311 36 9 Male $25000 or more 25000 0_no_1_hs
## 312 44 12 Male $25000 or more 25000 1_hs
## 313 35 12 Male $25000 or more 25000 1_hs
## 314 28 18 Male $25000 or more 25000 4_Advanced
## 315 64 12 Male $25000 or more 25000 1_hs
## 316 27 12 Male $25000 or more 25000 1_hs
## 317 46 8 Male $25000 or more 25000 0_no_1_hs
## 318 34 14 Female $25000 or more 25000 2_some_college
## 319 32 11 Male $25000 or more 25000 0_no_1_hs
## 320 55 12 Male $25000 or more 25000 1_hs
## 321 34 14 Female $25000 or more 25000 2_some_college
## 322 48 12 Female $25000 or more 25000 1_hs
## 323 43 16 Male $20000 - 24999 22500 3_Bachelors
## 324 40 8 Female $20000 - 24999 22500 0_no_1_hs
## 325 45 12 Female $20000 - 24999 22500 1_hs
## 326 32 14 Male $20000 - 24999 22500 2_some_college
## 327 37 12 Male $20000 - 24999 22500 1_hs
## 328 28 14 Male $20000 - 24999 22500 2_some_college
## 329 57 12 Female $20000 - 24999 22500 1_hs
## 330 29 12 Male $20000 - 24999 22500 1_hs
## 331 81 18 Male $20000 - 24999 22500 4_Advanced
## 332 59 16 Male $20000 - 24999 22500 3_Bachelors
## 333 52 18 Female $20000 - 24999 22500 4_Advanced
## 334 56 12 Female $20000 - 24999 22500 1_hs
## 335 44 12 Female $20000 - 24999 22500 1_hs
## 336 63 14 Male $20000 - 24999 22500 2_some_college
## 337 30 14 Female $20000 - 24999 22500 2_some_college
## 338 33 18 Male $20000 - 24999 22500 4_Advanced
## 339 57 12 Male $20000 - 24999 22500 1_hs
## 340 41 10 Male $20000 - 24999 22500 0_no_1_hs
## 341 21 12 Male $20000 - 24999 22500 1_hs
## 342 67 12 Male $20000 - 24999 22500 1_hs
## 343 18 12 Male $20000 - 24999 22500 1_hs
## 344 49 12 Male $20000 - 24999 22500 1_hs
## 345 25 12 Male $20000 - 24999 22500 1_hs
## 346 34 14 Male $20000 - 24999 22500 2_some_college
## 347 45 6 Male $20000 - 24999 22500 0_no_1_hs
## 348 51 12 Male $20000 - 24999 22500 1_hs
## 349 42 10 Female $20000 - 24999 22500 0_no_1_hs
## 350 69 12 Male $20000 - 24999 22500 1_hs
## 351 28 16 Male $20000 - 24999 22500 3_Bachelors
## 352 50 15 Male $20000 - 24999 22500 2_some_college
## 353 24 Don't know Female $20000 - 24999 22500 0
## 354 65 3 Male $20000 - 24999 22500 0_no_1_hs
## 355 46 12 Female $20000 - 24999 22500 1_hs
## 356 41 12 Female $20000 - 24999 22500 1_hs
## 357 69 14 Male $20000 - 24999 22500 2_some_college
## 358 23 14 Male $20000 - 24999 22500 2_some_college
## 359 22 12 Male $20000 - 24999 22500 1_hs
## 360 53 12 Female $20000 - 24999 22500 1_hs
## 361 26 12 Male $20000 - 24999 22500 1_hs
## 362 35 9 Male $20000 - 24999 22500 0_no_1_hs
## 363 53 13 Female $20000 - 24999 22500 2_some_college
## 364 43 14 Female $20000 - 24999 22500 2_some_college
## 365 59 16 Female $20000 - 24999 22500 3_Bachelors
## 366 43 11 Male $20000 - 24999 22500 0_no_1_hs
## 367 51 10 Female $20000 - 24999 22500 0_no_1_hs
## 368 34 6 Male $20000 - 24999 22500 0_no_1_hs
## 369 53 8 Female $20000 - 24999 22500 0_no_1_hs
## 370 41 12 Female $15000 - 19999 17500 1_hs
## 371 42 12 Male $15000 - 19999 17500 1_hs
## 372 52 15 Male $15000 - 19999 17500 2_some_college
## 373 66 16 Female $15000 - 19999 17500 3_Bachelors
## 374 31 12 Female $15000 - 19999 17500 1_hs
## 375 54 14 Male $15000 - 19999 17500 2_some_college
## 376 24 14 Male $15000 - 19999 17500 2_some_college
## 377 38 12 Female $15000 - 19999 17500 1_hs
## 378 30 9 Male $15000 - 19999 17500 0_no_1_hs
## 379 25 14 Male $15000 - 19999 17500 2_some_college
## 380 43 13 Male $15000 - 19999 17500 2_some_college
## 381 38 12 Male $15000 - 19999 17500 1_hs
## 382 67 12 Female $15000 - 19999 17500 1_hs
## 383 60 11 Male $15000 - 19999 17500 0_no_1_hs
## 384 37 12 Male $15000 - 19999 17500 1_hs
## 385 46 3 Female $15000 - 19999 17500 0_no_1_hs
## 386 25 12 Female $15000 - 19999 17500 1_hs
## 387 57 14 Male $15000 - 19999 17500 2_some_college
## 388 62 17 Male $15000 - 19999 17500 4_Advanced
## 389 53 18 Female $15000 - 19999 17500 4_Advanced
## 390 56 16 Female $15000 - 19999 17500 3_Bachelors
## 391 32 15 Female $15000 - 19999 17500 2_some_college
## 392 39 14 Female $15000 - 19999 17500 2_some_college
## 393 27 16 Female $15000 - 19999 17500 3_Bachelors
## 394 27 15 Female $15000 - 19999 17500 2_some_college
## 395 70 12 Male $15000 - 19999 17500 1_hs
## 396 59 12 Female $15000 - 19999 17500 1_hs
## 397 29 13 Male $15000 - 19999 17500 2_some_college
## 398 33 12 Female $15000 - 19999 17500 1_hs
## 399 42 9 Female $15000 - 19999 17500 0_no_1_hs
## 400 43 12 Female $10000 - 14999 12500 1_hs
## 401 34 16 Female $10000 - 14999 12500 3_Bachelors
## 402 26 17 Female $10000 - 14999 12500 4_Advanced
## 403 49 14 Female $10000 - 14999 12500 2_some_college
## 404 23 14 Female $10000 - 14999 12500 2_some_college
## 405 66 8 Male $10000 - 14999 12500 0_no_1_hs
## 406 28 15 Female $10000 - 14999 12500 2_some_college
## 407 23 13 Female $10000 - 14999 12500 2_some_college
## 408 57 11 Female $10000 - 14999 12500 0_no_1_hs
## 409 57 9 Male $10000 - 14999 12500 0_no_1_hs
## 410 29 14 Female $10000 - 14999 12500 2_some_college
## 411 32 14 Male $10000 - 14999 12500 2_some_college
## 412 46 16 Female $10000 - 14999 12500 3_Bachelors
## 413 63 13 Male $10000 - 14999 12500 2_some_college
## 414 68 16 Male $10000 - 14999 12500 3_Bachelors
## 415 42 6 Female $10000 - 14999 12500 0_no_1_hs
## 416 26 11 Male $10000 - 14999 12500 0_no_1_hs
## 417 50 12 Male $10000 - 14999 12500 1_hs
## 418 19 12 Male $10000 - 14999 12500 1_hs
## 419 38 14 Male $10000 - 14999 12500 2_some_college
## 420 26 16 Male $10000 - 14999 12500 3_Bachelors
## 421 45 14 Male $10000 - 14999 12500 2_some_college
## 422 33 12 Female $10000 - 14999 12500 1_hs
## 423 23 8 Female $10000 - 14999 12500 0_no_1_hs
## 424 29 15 Female $10000 - 14999 12500 2_some_college
## 425 40 18 Female $10000 - 14999 12500 4_Advanced
## 426 58 14 Male $10000 - 14999 12500 2_some_college
## 427 23 13 Female $10000 - 14999 12500 2_some_college
## 428 21 9 Male $10000 - 14999 12500 0_no_1_hs
## 429 44 14 Female $10000 - 14999 12500 2_some_college
## 430 27 15 Male $10000 - 14999 12500 2_some_college
## 431 65 11 Male $10000 - 14999 12500 0_no_1_hs
## 432 54 14 Male $10000 - 14999 12500 2_some_college
## 433 33 10 Male $10000 - 14999 12500 0_no_1_hs
## 434 21 15 Male $10000 - 14999 12500 2_some_college
## 435 28 14 Female $10000 - 14999 12500 2_some_college
## 436 29 12 Male $10000 - 14999 12500 1_hs
## 437 27 18 Female $8000 to 9999 9000 4_Advanced
## 438 63 6 Male $8000 to 9999 9000 0_no_1_hs
## 439 81 12 Male $8000 to 9999 9000 1_hs
## 440 31 12 Male $8000 to 9999 9000 1_hs
## 441 60 9 Female $8000 to 9999 9000 0_no_1_hs
## 442 34 9 Female $8000 to 9999 9000 0_no_1_hs
## 443 54 16 Female $8000 to 9999 9000 3_Bachelors
## 444 46 12 Male $8000 to 9999 9000 1_hs
## 445 46 12 Female $8000 to 9999 9000 1_hs
## 446 39 12 Female $8000 to 9999 9000 1_hs
## 447 21 14 Female $7000 to 7999 7500 2_some_college
## 448 30 14 Female $7000 to 7999 7500 2_some_college
## 449 79 14 Male $7000 to 7999 7500 2_some_college
## 450 68 12 Male $7000 to 7999 7500 1_hs
## 451 59 12 Female $7000 to 7999 7500 1_hs
## 452 26 14 Female $7000 to 7999 7500 2_some_college
## 453 62 11 Female $7000 to 7999 7500 0_no_1_hs
## 454 38 9 Female $7000 to 7999 7500 0_no_1_hs
## 455 59 2 Male $7000 to 7999 7500 0_no_1_hs
## 456 40 12 Female $6000 to 6999 6500 1_hs
## 457 40 14 Female $6000 to 6999 6500 2_some_college
## 458 24 12 Male $6000 to 6999 6500 1_hs
## 459 42 12 Male $6000 to 6999 6500 1_hs
## 460 19 11 Male $6000 to 6999 6500 0_no_1_hs
## 461 64 14 Female $6000 to 6999 6500 2_some_college
## 462 33 8 Male $6000 to 6999 6500 0_no_1_hs
## 463 59 20 Female $6000 to 6999 6500 4_Advanced
## 464 57 16 Female $6000 to 6999 6500 3_Bachelors
## 465 53 16 Female $5000 to 5999 5500 3_Bachelors
## 466 38 12 Female $5000 to 5999 5500 1_hs
## 467 21 13 Female $5000 to 5999 5500 2_some_college
## 468 26 8 Female $5000 to 5999 5500 0_no_1_hs
## 469 28 14 Male $5000 to 5999 5500 2_some_college
## 470 31 15 Female $5000 to 5999 5500 2_some_college
## 471 28 12 Male $5000 to 5999 5500 1_hs
## 472 47 9 Female $5000 to 5999 5500 0_no_1_hs
## 473 30 6 Male $5000 to 5999 5500 0_no_1_hs
## 474 60 14 Female $4000 to 4999 4500 2_some_college
## 475 35 14 Male $4000 to 4999 4500 2_some_college
## 476 52 14 Female $4000 to 4999 4500 2_some_college
## 477 22 5 Female $4000 to 4999 4500 0_no_1_hs
## 478 60 14 Male $4000 to 4999 4500 2_some_college
## 479 67 16 Female $4000 to 4999 4500 3_Bachelors
## 480 22 11 Male $4000 to 4999 4500 0_no_1_hs
## 481 21 15 Male $4000 to 4999 4500 2_some_college
## 482 22 15 Male $3000 to 3999 3500 2_some_college
## 483 40 13 Male $3000 to 3999 3500 2_some_college
## 484 27 13 Male $3000 to 3999 3500 2_some_college
## 485 28 12 Female $3000 to 3999 3500 1_hs
## 486 39 18 Male $3000 to 3999 3500 4_Advanced
## 487 33 9 Female $3000 to 3999 3500 0_no_1_hs
## 488 23 11 Female $3000 to 3999 3500 0_no_1_hs
## 489 24 8 Female $3000 to 3999 3500 0_no_1_hs
## 490 25 13 Female $3000 to 3999 3500 2_some_college
## 491 87 11 Female $3000 to 3999 3500 0_no_1_hs
## 492 45 4 Female $3000 to 3999 3500 0_no_1_hs
## 493 37 12 Male $3000 to 3999 3500 1_hs
## 494 20 13 Male $1000 to 2999 1500 2_some_college
## 495 19 13 Female $1000 to 2999 1500 2_some_college
## 496 73 12 Female $1000 to 2999 1500 1_hs
## 497 44 16 Female $1000 to 2999 1500 3_Bachelors
## 498 58 14 Male $1000 to 2999 1500 2_some_college
## 499 58 12 Female $1000 to 2999 1500 1_hs
## 500 29 11 Female $1000 to 2999 1500 0_no_1_hs
## 501 63 12 Female $1000 to 2999 1500 1_hs
## 502 42 10 Female $1000 to 2999 1500 0_no_1_hs
## 503 20 13 Female $1000 to 2999 1500 2_some_college
## 504 19 12 Male $1000 to 2999 1500 1_hs
## 505 29 11 Male $1000 to 2999 1500 0_no_1_hs
## 506 21 15 Male $1000 to 2999 1500 2_some_college
## 507 62 8 Female $1000 to 2999 1500 0_no_1_hs
## 508 19 11 Female $1000 to 2999 1500 0_no_1_hs
## 509 19 12 Female $1000 to 2999 1500 1_hs
## 510 24 11 Female $1000 to 2999 1500 0_no_1_hs
## 511 56 14 Male $1000 to 2999 1500 2_some_college
## 512 22 12 Female Lt $1000 500 1_hs
## 513 30 13 Female Lt $1000 500 2_some_college
## 514 44 12 Female Lt $1000 500 1_hs
## 515 86 12 Female Lt $1000 500 1_hs
## 516 71 8 Male Lt $1000 500 0_no_1_hs
## 517 50 11 Male Lt $1000 500 0_no_1_hs
## 518 41 12 Male Lt $1000 500 1_hs
## 519 51 1 Male Lt $1000 500 0_no_1_hs
## 520 21 12 Male Lt $1000 500 1_hs
## 521 20 13 Female Lt $1000 500 2_some_college
## 522 66 6 Male Lt $1000 500 0_no_1_hs
a4 = subset(a3, sex == 'Male')%>%group_by(educ_recode)%>% summarize(tot_pay = mean(income_recode), median = median(income_recode), count = n())
a5 = subset(a3,sex == 'Female')%>%group_by(educ_recode)%>%summarize(tot_pay = mean(income_recode), median = median(income_recode), count = n())
a4
## # A tibble: 5 x 4
## educ_recode tot_pay median count
## <chr> <dbl> <dbl> <int>
## 1 0_no_1_hs 18122. 22500 49
## 2 1_hs 22176. 25000 111
## 3 2_some_college 19976. 25000 85
## 4 3_Bachelors 24044. 25000 34
## 5 4_Advanced 23522. 25000 23
a5
## # A tibble: 6 x 4
## educ_recode tot_pay median count
## <chr> <dbl> <dbl> <int>
## 1 0 22500 22500 1
## 2 0_no_1_hs 9667. 7500 27
## 3 1_hs 17991. 22500 53
## 4 2_some_college 18684. 25000 68
## 5 3_Bachelors 21636. 25000 44
## 6 4_Advanced 22426. 25000 27
ggplot(a4, aes(educ_recode, tot_pay)) +
geom_point(varwidth = TRUE)+ xlab("Education Level") +
ylab("Income measure") +
ggtitle(" Male income in worker area")
## Warning: Ignoring unknown parameters: varwidth
ggplot(a5, aes(educ_recode, tot_pay)) +
geom_point(varwidth = TRUE)+xlab("Education Level") +
ylab("Income measure") +
ggtitle(" Female income in worker area")
## Warning: Ignoring unknown parameters: varwidth
a1 = q1%>%
filter(grepl('teacher',occupation))
a2 = q1%>%
filter(grepl('Teacher',occupation))
a1
## year id hours_wkd occupation age educ sex
## 1 2016 19 40 Elementary and middle school teachers 31 18 Male
## 2 2016 29 NA Secondary school teachers 74 18 Male
## 3 2016 38 40 Elementary and middle school teachers 43 16 Female
## 4 2016 121 40 Secondary school teachers 55 18 Female
## 5 2016 150 30 Other teachers and instructors 30 16 Male
## 6 2016 259 50 Elementary and middle school teachers 35 20 Female
## 7 2016 261 NA Postsecondary teachers 62 20 Female
## 8 2016 277 55 Elementary and middle school teachers 44 20 Female
## 9 2016 292 40 Other teachers and instructors 61 16 Male
## 10 2016 300 40 Other teachers and instructors 40 17 Male
## 11 2016 380 24 Postsecondary teachers 68 18 Female
## 12 2016 395 NA Postsecondary teachers 25 16 Male
## 13 2016 408 30 Postsecondary teachers 59 20 Female
## 14 2016 412 40 Elementary and middle school teachers 37 20 Male
## 15 2016 468 50 Postsecondary teachers 59 20 Female
## 16 2016 471 50 Secondary school teachers 59 18 Female
## 17 2016 488 40 Postsecondary teachers 73 20 Male
## 18 2016 609 40 Elementary and middle school teachers 47 20 Female
## 19 2016 705 1 Elementary and middle school teachers 40 16 Female
## 20 2016 737 60 Secondary school teachers 52 16 Female
## 21 2016 798 27 Postsecondary teachers 70 16 Female
## 22 2016 912 NA Elementary and middle school teachers 27 16 Female
## 23 2016 920 40 Secondary school teachers 51 18 Female
## 24 2016 1007 8 Other teachers and instructors 34 17 Female
## 25 2016 1008 60 Secondary school teachers 32 19 Female
## 26 2016 1010 NA Preschool and kindergarten teachers 31 20 Female
## 27 2016 1020 55 Secondary school teachers 63 18 Male
## 28 2016 1030 44 Postsecondary teachers 41 20 Male
## 29 2016 1050 60 Elementary and middle school teachers 25 16 Female
## 30 2016 1138 50 Elementary and middle school teachers 47 16 Female
## 31 2016 1244 40 Postsecondary teachers 33 16 Male
## 32 2016 1249 55 Special education teachers 38 20 Male
## 33 2016 1355 62 Elementary and middle school teachers 42 16 Male
## 34 2016 1442 NA Elementary and middle school teachers 31 16 Female
## 35 2016 1490 40 Secondary school teachers 38 19 Female
## 36 2016 1530 60 Secondary school teachers 47 20 Male
## 37 2016 1536 35 Postsecondary teachers 53 18 Male
## 38 2016 1575 45 Special education teachers 42 18 Female
## 39 2016 1590 25 Secondary school teachers 59 14 Female
## 40 2016 1596 48 Postsecondary teachers 52 20 Female
## 41 2016 1700 40 Preschool and kindergarten teachers 59 16 Female
## 42 2016 1705 NA Secondary school teachers 41 18 Female
## 43 2016 1717 NA Secondary school teachers 45 16 Female
## 44 2016 1783 NA Elementary and middle school teachers 63 17 Female
## 45 2016 1825 40 Elementary and middle school teachers 50 16 Male
## 46 2016 1889 40 Postsecondary teachers 53 20 Male
## 47 2016 2083 NA Elementary and middle school teachers 39 16 Female
## 48 2016 2130 45 Secondary school teachers 47 16 Female
## 49 2016 2153 NA Elementary and middle school teachers 38 16 Female
## 50 2016 2422 40 Secondary school teachers 37 17 Female
## 51 2016 2431 50 Special education teachers 27 20 Female
## 52 2016 2467 44 Postsecondary teachers 46 20 Female
## 53 2016 2543 45 Elementary and middle school teachers 34 17 Female
## 54 2016 2667 50 Elementary and middle school teachers 26 17 Female
## 55 2016 2672 70 Other teachers and instructors 49 20 Male
## 56 2016 2675 40 Secondary school teachers 42 19 Female
## 57 2016 2698 40 Postsecondary teachers 54 20 Female
## 58 2016 2717 45 Elementary and middle school teachers 34 20 Female
## 59 2016 2721 70 Secondary school teachers 49 20 Female
## 60 2016 2740 40 Elementary and middle school teachers 43 18 Female
## 61 2016 2814 3 Postsecondary teachers 66 18 Female
## 62 2016 2833 50 Elementary and middle school teachers 27 18 Female
## 63 2016 2840 3 Secondary school teachers 52 16 Male
## 64 2018 19 40 Secondary school teachers 40 20 Female
## 65 2018 126 40 Secondary school teachers 48 18 Male
## 66 2018 239 NA Elementary and middle school teachers 65 18 Male
## 67 2018 299 37 Special education teachers 31 20 Female
## 68 2018 319 35 Special education teachers 34 20 Female
## 69 2018 367 40 Postsecondary teachers 70 16 Female
## 70 2018 388 40 Postsecondary teachers 29 20 Female
## 71 2018 454 55 Elementary and middle school teachers 33 16 Female
## 72 2018 477 42 Other teachers and instructors 40 18 Female
## 73 2018 635 40 Postsecondary teachers 62 18 Male
## 74 2018 641 NA Postsecondary teachers 53 16 Male
## 75 2018 682 NA Other teachers and instructors 71 15 Female
## 76 2018 683 37 Other teachers and instructors 58 16 Female
## 77 2018 720 40 Secondary school teachers 46 18 Male
## 78 2018 742 40 Other teachers and instructors 46 16 Male
## 79 2018 763 NA Other teachers and instructors 42 16 Female
## 80 2018 799 70 Other teachers and instructors 59 14 Female
## 81 2018 826 48 Elementary and middle school teachers 54 16 Female
## 82 2018 854 40 Elementary and middle school teachers 53 17 Female
## 83 2018 929 50 Elementary and middle school teachers 59 20 Female
## 84 2018 961 40 Elementary and middle school teachers 38 14 Male
## 85 2018 982 35 Postsecondary teachers 43 16 Female
## 86 2018 1008 NA Elementary and middle school teachers 37 16 Female
## 87 2018 1034 30 Other teachers and instructors 31 16 Female
## 88 2018 1038 40 Secondary school teachers 54 16 Male
## 89 2018 1111 50 Postsecondary teachers 57 12 Female
## 90 2018 1126 40 Special education teachers 29 16 Male
## 91 2018 1160 2 Secondary school teachers 64 16 Male
## 92 2018 1204 NA Secondary school teachers 34 16 Female
## 93 2018 1228 50 Postsecondary teachers 25 13 Female
## 94 2018 1290 20 Postsecondary teachers 73 15 Male
## 95 2018 1380 40 Elementary and middle school teachers 29 16 Female
## 96 2018 1400 40 Secondary school teachers 40 16 Male
## 97 2018 1438 40 Secondary school teachers 29 17 Female
## 98 2018 1454 NA Other teachers and instructors 48 18 Female
## 99 2018 1558 25 Postsecondary teachers 44 17 Female
## 100 2018 1570 15 Secondary school teachers 37 17 Male
## 101 2018 1694 NA Elementary and middle school teachers 57 18 Female
## 102 2018 1726 40 Postsecondary teachers 52 18 Male
## 103 2018 1761 40 Secondary school teachers 47 16 Female
## 104 2018 1788 20 Postsecondary teachers 33 16 Female
## 105 2018 1806 16 Postsecondary teachers 70 17 Female
## 106 2018 1832 40 Secondary school teachers 49 16 Female
## 107 2018 1860 36 Elementary and middle school teachers 28 18 Female
## 108 2018 1912 20 Secondary school teachers 35 20 Female
## 109 2018 1957 50 Secondary school teachers 49 17 Female
## 110 2018 2004 40 Elementary and middle school teachers 55 17 Female
## 111 2018 2026 NA Secondary school teachers 26 16 Female
## 112 2018 2042 40 Elementary and middle school teachers 53 20 Male
## 113 2018 2133 50 Elementary and middle school teachers 38 20 Female
## 114 2018 2207 50 Elementary and middle school teachers 33 20 Female
## 115 2018 2211 45 Secondary school teachers 50 20 Female
## 116 2018 2252 NA Elementary and middle school teachers 30 19 Female
## 117 2018 2261 40 Elementary and middle school teachers 24 16 Female
## 118 2018 2318 NA Postsecondary teachers 36 20 Female
## 119 2016 57 40 Preschool and kindergarten teachers 40 17 Female
## 120 2016 415 40 Preschool and kindergarten teachers 34 12 Female
## 121 2016 677 42 Special education teachers 27 16 Male
## 122 2016 732 NA Elementary and middle school teachers 37 14 Female
## 123 2016 1027 40 Preschool and kindergarten teachers 42 17 Female
## 124 2016 1672 3 Postsecondary teachers 67 16 Female
## 125 2016 2021 NA Elementary and middle school teachers 41 16 Female
## 126 2018 802 38 Preschool and kindergarten teachers 19 12 Female
## 127 2018 1278 NA Postsecondary teachers 30 20 Female
## 128 2018 1564 36 Secondary school teachers 61 19 Female
## 129 2018 1756 40 Preschool and kindergarten teachers 35 16 Female
## 130 2016 154 45 Secondary school teachers 61 18 Female
## 131 2016 494 NA Postsecondary teachers 32 20 Male
## 132 2016 1014 NA Elementary and middle school teachers 34 16 Female
## 133 2016 1124 NA Postsecondary teachers 23 17 Male
## 134 2016 1620 40 Special education teachers 53 16 Female
## 135 2016 1680 NA Postsecondary teachers 66 20 Male
## 136 2018 996 25 Other teachers and instructors 34 15 Female
## 137 2018 1745 NA Other teachers and instructors 63 16 Female
## 138 2016 356 32 Elementary and middle school teachers 62 19 Female
## 139 2016 751 40 Preschool and kindergarten teachers 38 14 Female
## 140 2016 1037 70 Other teachers and instructors 43 19 Male
## 141 2016 1177 NA Other teachers and instructors 67 17 Female
## 142 2016 1667 NA Postsecondary teachers 50 20 Female
## 143 2018 140 6 Secondary school teachers 25 15 Female
## 144 2018 870 NA Preschool and kindergarten teachers 29 15 Female
## 145 2018 2279 16 Other teachers and instructors 68 17 Female
## 146 2016 59 40 Postsecondary teachers 59 20 Female
## 147 2016 1779 20 Secondary school teachers 61 16 Female
## 148 2018 536 18 Postsecondary teachers 33 14 Female
## 149 2018 1709 NA Postsecondary teachers 28 19 Female
## 150 2018 2138 6 Postsecondary teachers 72 16 Female
## 151 2018 668 40 Elementary and middle school teachers 30 17 Female
## 152 2016 1379 30 Postsecondary teachers 31 17 Male
## 153 2018 158 30 Elementary and middle school teachers 20 14 Female
## 154 2018 426 18 Special education teachers 74 20 Female
## 155 2016 864 NA Preschool and kindergarten teachers 28 16 Female
## 156 2016 1394 NA Elementary and middle school teachers 57 20 Male
## 157 2016 378 NA Preschool and kindergarten teachers 29 16 Female
## 158 2016 2073 40 Postsecondary teachers 54 16 Female
## 159 2018 1715 NA Postsecondary teachers 24 17 Male
## 160 2018 2064 3 Other teachers and instructors 54 18 Female
## 161 2016 264 NA Preschool and kindergarten teachers 30 13 Female
## 162 2016 1116 5 Other teachers and instructors 69 16 Female
## 163 2016 1546 NA Elementary and middle school teachers 66 18 Male
## 164 2016 1715 40 Preschool and kindergarten teachers 41 16 Female
## 165 2016 1898 40 Other teachers and instructors 27 13 Male
## 166 2016 1464 27 Preschool and kindergarten teachers 31 11 Female
## 167 2018 1615 36 Postsecondary teachers 20 14 Female
## 168 2016 235 25 Secondary school teachers 23 16 Male
## income income_recode educ_recode
## 1 $25000 or more 25000 4_Advanced
## 2 $25000 or more 25000 4_Advanced
## 3 $25000 or more 25000 3_Bachelors
## 4 $25000 or more 25000 4_Advanced
## 5 $25000 or more 25000 3_Bachelors
## 6 $25000 or more 25000 4_Advanced
## 7 $25000 or more 25000 4_Advanced
## 8 $25000 or more 25000 4_Advanced
## 9 $25000 or more 25000 3_Bachelors
## 10 $25000 or more 25000 4_Advanced
## 11 $25000 or more 25000 4_Advanced
## 12 $25000 or more 25000 3_Bachelors
## 13 $25000 or more 25000 4_Advanced
## 14 $25000 or more 25000 4_Advanced
## 15 $25000 or more 25000 4_Advanced
## 16 $25000 or more 25000 4_Advanced
## 17 $25000 or more 25000 4_Advanced
## 18 $25000 or more 25000 4_Advanced
## 19 $25000 or more 25000 3_Bachelors
## 20 $25000 or more 25000 3_Bachelors
## 21 $25000 or more 25000 3_Bachelors
## 22 $25000 or more 25000 3_Bachelors
## 23 $25000 or more 25000 4_Advanced
## 24 $25000 or more 25000 4_Advanced
## 25 $25000 or more 25000 4_Advanced
## 26 $25000 or more 25000 4_Advanced
## 27 $25000 or more 25000 4_Advanced
## 28 $25000 or more 25000 4_Advanced
## 29 $25000 or more 25000 3_Bachelors
## 30 $25000 or more 25000 3_Bachelors
## 31 $25000 or more 25000 3_Bachelors
## 32 $25000 or more 25000 4_Advanced
## 33 $25000 or more 25000 3_Bachelors
## 34 $25000 or more 25000 3_Bachelors
## 35 $25000 or more 25000 4_Advanced
## 36 $25000 or more 25000 4_Advanced
## 37 $25000 or more 25000 4_Advanced
## 38 $25000 or more 25000 4_Advanced
## 39 $25000 or more 25000 2_some_college
## 40 $25000 or more 25000 4_Advanced
## 41 $25000 or more 25000 3_Bachelors
## 42 $25000 or more 25000 4_Advanced
## 43 $25000 or more 25000 3_Bachelors
## 44 $25000 or more 25000 4_Advanced
## 45 $25000 or more 25000 3_Bachelors
## 46 $25000 or more 25000 4_Advanced
## 47 $25000 or more 25000 3_Bachelors
## 48 $25000 or more 25000 3_Bachelors
## 49 $25000 or more 25000 3_Bachelors
## 50 $25000 or more 25000 4_Advanced
## 51 $25000 or more 25000 4_Advanced
## 52 $25000 or more 25000 4_Advanced
## 53 $25000 or more 25000 4_Advanced
## 54 $25000 or more 25000 4_Advanced
## 55 $25000 or more 25000 4_Advanced
## 56 $25000 or more 25000 4_Advanced
## 57 $25000 or more 25000 4_Advanced
## 58 $25000 or more 25000 4_Advanced
## 59 $25000 or more 25000 4_Advanced
## 60 $25000 or more 25000 4_Advanced
## 61 $25000 or more 25000 4_Advanced
## 62 $25000 or more 25000 4_Advanced
## 63 $25000 or more 25000 3_Bachelors
## 64 $25000 or more 25000 4_Advanced
## 65 $25000 or more 25000 4_Advanced
## 66 $25000 or more 25000 4_Advanced
## 67 $25000 or more 25000 4_Advanced
## 68 $25000 or more 25000 4_Advanced
## 69 $25000 or more 25000 3_Bachelors
## 70 $25000 or more 25000 4_Advanced
## 71 $25000 or more 25000 3_Bachelors
## 72 $25000 or more 25000 4_Advanced
## 73 $25000 or more 25000 4_Advanced
## 74 $25000 or more 25000 3_Bachelors
## 75 $25000 or more 25000 2_some_college
## 76 $25000 or more 25000 3_Bachelors
## 77 $25000 or more 25000 4_Advanced
## 78 $25000 or more 25000 3_Bachelors
## 79 $25000 or more 25000 3_Bachelors
## 80 $25000 or more 25000 2_some_college
## 81 $25000 or more 25000 3_Bachelors
## 82 $25000 or more 25000 4_Advanced
## 83 $25000 or more 25000 4_Advanced
## 84 $25000 or more 25000 2_some_college
## 85 $25000 or more 25000 3_Bachelors
## 86 $25000 or more 25000 3_Bachelors
## 87 $25000 or more 25000 3_Bachelors
## 88 $25000 or more 25000 3_Bachelors
## 89 $25000 or more 25000 1_hs
## 90 $25000 or more 25000 3_Bachelors
## 91 $25000 or more 25000 3_Bachelors
## 92 $25000 or more 25000 3_Bachelors
## 93 $25000 or more 25000 2_some_college
## 94 $25000 or more 25000 2_some_college
## 95 $25000 or more 25000 3_Bachelors
## 96 $25000 or more 25000 3_Bachelors
## 97 $25000 or more 25000 4_Advanced
## 98 $25000 or more 25000 4_Advanced
## 99 $25000 or more 25000 4_Advanced
## 100 $25000 or more 25000 4_Advanced
## 101 $25000 or more 25000 4_Advanced
## 102 $25000 or more 25000 4_Advanced
## 103 $25000 or more 25000 3_Bachelors
## 104 $25000 or more 25000 3_Bachelors
## 105 $25000 or more 25000 4_Advanced
## 106 $25000 or more 25000 3_Bachelors
## 107 $25000 or more 25000 4_Advanced
## 108 $25000 or more 25000 4_Advanced
## 109 $25000 or more 25000 4_Advanced
## 110 $25000 or more 25000 4_Advanced
## 111 $25000 or more 25000 3_Bachelors
## 112 $25000 or more 25000 4_Advanced
## 113 $25000 or more 25000 4_Advanced
## 114 $25000 or more 25000 4_Advanced
## 115 $25000 or more 25000 4_Advanced
## 116 $25000 or more 25000 4_Advanced
## 117 $25000 or more 25000 3_Bachelors
## 118 $25000 or more 25000 4_Advanced
## 119 $20000 - 24999 22500 4_Advanced
## 120 $20000 - 24999 22500 1_hs
## 121 $20000 - 24999 22500 3_Bachelors
## 122 $20000 - 24999 22500 2_some_college
## 123 $20000 - 24999 22500 4_Advanced
## 124 $20000 - 24999 22500 3_Bachelors
## 125 $20000 - 24999 22500 3_Bachelors
## 126 $20000 - 24999 22500 1_hs
## 127 $20000 - 24999 22500 4_Advanced
## 128 $20000 - 24999 22500 4_Advanced
## 129 $20000 - 24999 22500 3_Bachelors
## 130 $15000 - 19999 17500 4_Advanced
## 131 $15000 - 19999 17500 4_Advanced
## 132 $15000 - 19999 17500 3_Bachelors
## 133 $15000 - 19999 17500 4_Advanced
## 134 $15000 - 19999 17500 3_Bachelors
## 135 $15000 - 19999 17500 4_Advanced
## 136 $15000 - 19999 17500 2_some_college
## 137 $15000 - 19999 17500 3_Bachelors
## 138 $10000 - 14999 12500 4_Advanced
## 139 $10000 - 14999 12500 2_some_college
## 140 $10000 - 14999 12500 4_Advanced
## 141 $10000 - 14999 12500 4_Advanced
## 142 $10000 - 14999 12500 4_Advanced
## 143 $10000 - 14999 12500 2_some_college
## 144 $10000 - 14999 12500 2_some_college
## 145 $10000 - 14999 12500 4_Advanced
## 146 $8000 to 9999 9000 4_Advanced
## 147 $8000 to 9999 9000 3_Bachelors
## 148 $8000 to 9999 9000 2_some_college
## 149 $8000 to 9999 9000 4_Advanced
## 150 $8000 to 9999 9000 3_Bachelors
## 151 $7000 to 7999 7500 4_Advanced
## 152 $6000 to 6999 6500 4_Advanced
## 153 $6000 to 6999 6500 2_some_college
## 154 $6000 to 6999 6500 4_Advanced
## 155 $5000 to 5999 5500 3_Bachelors
## 156 $5000 to 5999 5500 4_Advanced
## 157 $4000 to 4999 4500 3_Bachelors
## 158 $4000 to 4999 4500 3_Bachelors
## 159 $4000 to 4999 4500 4_Advanced
## 160 $4000 to 4999 4500 4_Advanced
## 161 $3000 to 3999 3500 2_some_college
## 162 $3000 to 3999 3500 3_Bachelors
## 163 $3000 to 3999 3500 4_Advanced
## 164 $3000 to 3999 3500 3_Bachelors
## 165 $3000 to 3999 3500 2_some_college
## 166 $1000 to 2999 1500 0_no_1_hs
## 167 $1000 to 2999 1500 2_some_college
## 168 Lt $1000 500 3_Bachelors
a2
## year id hours_wkd occupation age educ sex income
## 1 2016 257 40 Teacher assistants 30 16 Female $25000 or more
## 2 2016 963 NA Teacher assistants 46 12 Male $25000 or more
## 3 2016 2745 40 Teacher assistants 61 15 Female $25000 or more
## 4 2018 124 30 Teacher assistants 59 16 Female $25000 or more
## 5 2018 656 NA Teacher assistants 29 16 Female $25000 or more
## 6 2016 1147 60 Teacher assistants 49 17 Female $20000 - 24999
## 7 2016 2426 64 Teacher assistants 42 12 Male $20000 - 24999
## 8 2016 2845 40 Teacher assistants 24 14 Female $20000 - 24999
## 9 2018 1022 35 Teacher assistants 35 12 Female $20000 - 24999
## 10 2016 37 25 Teacher assistants 59 16 Male $15000 - 19999
## 11 2016 1470 26 Teacher assistants 63 14 Female $15000 - 19999
## 12 2016 1916 50 Teacher assistants 39 15 Female $15000 - 19999
## 13 2016 2489 31 Teacher assistants 31 14 Female $10000 - 14999
## 14 2016 2809 NA Teacher assistants 58 12 Female $10000 - 14999
## 15 2018 274 35 Teacher assistants 65 19 Female $10000 - 14999
## 16 2018 873 28 Teacher assistants 52 16 Female $10000 - 14999
## 17 2018 2111 45 Teacher assistants 34 14 Female $10000 - 14999
## 18 2016 2433 NA Teacher assistants 38 14 Female $7000 to 7999
## 19 2016 1247 21 Teacher assistants 19 13 Male $6000 to 6999
## 20 2016 1267 NA Teacher assistants 25 16 Female $5000 to 5999
## income_recode educ_recode
## 1 25000 3_Bachelors
## 2 25000 1_hs
## 3 25000 2_some_college
## 4 25000 3_Bachelors
## 5 25000 3_Bachelors
## 6 22500 4_Advanced
## 7 22500 1_hs
## 8 22500 2_some_college
## 9 22500 1_hs
## 10 17500 3_Bachelors
## 11 17500 2_some_college
## 12 17500 2_some_college
## 13 12500 2_some_college
## 14 12500 1_hs
## 15 12500 4_Advanced
## 16 12500 3_Bachelors
## 17 12500 2_some_college
## 18 7500 2_some_college
## 19 6500 2_some_college
## 20 5500 3_Bachelors
a3 = rbind(a1,a2)
a3
## year id hours_wkd occupation age educ sex
## 1 2016 19 40 Elementary and middle school teachers 31 18 Male
## 2 2016 29 NA Secondary school teachers 74 18 Male
## 3 2016 38 40 Elementary and middle school teachers 43 16 Female
## 4 2016 121 40 Secondary school teachers 55 18 Female
## 5 2016 150 30 Other teachers and instructors 30 16 Male
## 6 2016 259 50 Elementary and middle school teachers 35 20 Female
## 7 2016 261 NA Postsecondary teachers 62 20 Female
## 8 2016 277 55 Elementary and middle school teachers 44 20 Female
## 9 2016 292 40 Other teachers and instructors 61 16 Male
## 10 2016 300 40 Other teachers and instructors 40 17 Male
## 11 2016 380 24 Postsecondary teachers 68 18 Female
## 12 2016 395 NA Postsecondary teachers 25 16 Male
## 13 2016 408 30 Postsecondary teachers 59 20 Female
## 14 2016 412 40 Elementary and middle school teachers 37 20 Male
## 15 2016 468 50 Postsecondary teachers 59 20 Female
## 16 2016 471 50 Secondary school teachers 59 18 Female
## 17 2016 488 40 Postsecondary teachers 73 20 Male
## 18 2016 609 40 Elementary and middle school teachers 47 20 Female
## 19 2016 705 1 Elementary and middle school teachers 40 16 Female
## 20 2016 737 60 Secondary school teachers 52 16 Female
## 21 2016 798 27 Postsecondary teachers 70 16 Female
## 22 2016 912 NA Elementary and middle school teachers 27 16 Female
## 23 2016 920 40 Secondary school teachers 51 18 Female
## 24 2016 1007 8 Other teachers and instructors 34 17 Female
## 25 2016 1008 60 Secondary school teachers 32 19 Female
## 26 2016 1010 NA Preschool and kindergarten teachers 31 20 Female
## 27 2016 1020 55 Secondary school teachers 63 18 Male
## 28 2016 1030 44 Postsecondary teachers 41 20 Male
## 29 2016 1050 60 Elementary and middle school teachers 25 16 Female
## 30 2016 1138 50 Elementary and middle school teachers 47 16 Female
## 31 2016 1244 40 Postsecondary teachers 33 16 Male
## 32 2016 1249 55 Special education teachers 38 20 Male
## 33 2016 1355 62 Elementary and middle school teachers 42 16 Male
## 34 2016 1442 NA Elementary and middle school teachers 31 16 Female
## 35 2016 1490 40 Secondary school teachers 38 19 Female
## 36 2016 1530 60 Secondary school teachers 47 20 Male
## 37 2016 1536 35 Postsecondary teachers 53 18 Male
## 38 2016 1575 45 Special education teachers 42 18 Female
## 39 2016 1590 25 Secondary school teachers 59 14 Female
## 40 2016 1596 48 Postsecondary teachers 52 20 Female
## 41 2016 1700 40 Preschool and kindergarten teachers 59 16 Female
## 42 2016 1705 NA Secondary school teachers 41 18 Female
## 43 2016 1717 NA Secondary school teachers 45 16 Female
## 44 2016 1783 NA Elementary and middle school teachers 63 17 Female
## 45 2016 1825 40 Elementary and middle school teachers 50 16 Male
## 46 2016 1889 40 Postsecondary teachers 53 20 Male
## 47 2016 2083 NA Elementary and middle school teachers 39 16 Female
## 48 2016 2130 45 Secondary school teachers 47 16 Female
## 49 2016 2153 NA Elementary and middle school teachers 38 16 Female
## 50 2016 2422 40 Secondary school teachers 37 17 Female
## 51 2016 2431 50 Special education teachers 27 20 Female
## 52 2016 2467 44 Postsecondary teachers 46 20 Female
## 53 2016 2543 45 Elementary and middle school teachers 34 17 Female
## 54 2016 2667 50 Elementary and middle school teachers 26 17 Female
## 55 2016 2672 70 Other teachers and instructors 49 20 Male
## 56 2016 2675 40 Secondary school teachers 42 19 Female
## 57 2016 2698 40 Postsecondary teachers 54 20 Female
## 58 2016 2717 45 Elementary and middle school teachers 34 20 Female
## 59 2016 2721 70 Secondary school teachers 49 20 Female
## 60 2016 2740 40 Elementary and middle school teachers 43 18 Female
## 61 2016 2814 3 Postsecondary teachers 66 18 Female
## 62 2016 2833 50 Elementary and middle school teachers 27 18 Female
## 63 2016 2840 3 Secondary school teachers 52 16 Male
## 64 2018 19 40 Secondary school teachers 40 20 Female
## 65 2018 126 40 Secondary school teachers 48 18 Male
## 66 2018 239 NA Elementary and middle school teachers 65 18 Male
## 67 2018 299 37 Special education teachers 31 20 Female
## 68 2018 319 35 Special education teachers 34 20 Female
## 69 2018 367 40 Postsecondary teachers 70 16 Female
## 70 2018 388 40 Postsecondary teachers 29 20 Female
## 71 2018 454 55 Elementary and middle school teachers 33 16 Female
## 72 2018 477 42 Other teachers and instructors 40 18 Female
## 73 2018 635 40 Postsecondary teachers 62 18 Male
## 74 2018 641 NA Postsecondary teachers 53 16 Male
## 75 2018 682 NA Other teachers and instructors 71 15 Female
## 76 2018 683 37 Other teachers and instructors 58 16 Female
## 77 2018 720 40 Secondary school teachers 46 18 Male
## 78 2018 742 40 Other teachers and instructors 46 16 Male
## 79 2018 763 NA Other teachers and instructors 42 16 Female
## 80 2018 799 70 Other teachers and instructors 59 14 Female
## 81 2018 826 48 Elementary and middle school teachers 54 16 Female
## 82 2018 854 40 Elementary and middle school teachers 53 17 Female
## 83 2018 929 50 Elementary and middle school teachers 59 20 Female
## 84 2018 961 40 Elementary and middle school teachers 38 14 Male
## 85 2018 982 35 Postsecondary teachers 43 16 Female
## 86 2018 1008 NA Elementary and middle school teachers 37 16 Female
## 87 2018 1034 30 Other teachers and instructors 31 16 Female
## 88 2018 1038 40 Secondary school teachers 54 16 Male
## 89 2018 1111 50 Postsecondary teachers 57 12 Female
## 90 2018 1126 40 Special education teachers 29 16 Male
## 91 2018 1160 2 Secondary school teachers 64 16 Male
## 92 2018 1204 NA Secondary school teachers 34 16 Female
## 93 2018 1228 50 Postsecondary teachers 25 13 Female
## 94 2018 1290 20 Postsecondary teachers 73 15 Male
## 95 2018 1380 40 Elementary and middle school teachers 29 16 Female
## 96 2018 1400 40 Secondary school teachers 40 16 Male
## 97 2018 1438 40 Secondary school teachers 29 17 Female
## 98 2018 1454 NA Other teachers and instructors 48 18 Female
## 99 2018 1558 25 Postsecondary teachers 44 17 Female
## 100 2018 1570 15 Secondary school teachers 37 17 Male
## 101 2018 1694 NA Elementary and middle school teachers 57 18 Female
## 102 2018 1726 40 Postsecondary teachers 52 18 Male
## 103 2018 1761 40 Secondary school teachers 47 16 Female
## 104 2018 1788 20 Postsecondary teachers 33 16 Female
## 105 2018 1806 16 Postsecondary teachers 70 17 Female
## 106 2018 1832 40 Secondary school teachers 49 16 Female
## 107 2018 1860 36 Elementary and middle school teachers 28 18 Female
## 108 2018 1912 20 Secondary school teachers 35 20 Female
## 109 2018 1957 50 Secondary school teachers 49 17 Female
## 110 2018 2004 40 Elementary and middle school teachers 55 17 Female
## 111 2018 2026 NA Secondary school teachers 26 16 Female
## 112 2018 2042 40 Elementary and middle school teachers 53 20 Male
## 113 2018 2133 50 Elementary and middle school teachers 38 20 Female
## 114 2018 2207 50 Elementary and middle school teachers 33 20 Female
## 115 2018 2211 45 Secondary school teachers 50 20 Female
## 116 2018 2252 NA Elementary and middle school teachers 30 19 Female
## 117 2018 2261 40 Elementary and middle school teachers 24 16 Female
## 118 2018 2318 NA Postsecondary teachers 36 20 Female
## 119 2016 57 40 Preschool and kindergarten teachers 40 17 Female
## 120 2016 415 40 Preschool and kindergarten teachers 34 12 Female
## 121 2016 677 42 Special education teachers 27 16 Male
## 122 2016 732 NA Elementary and middle school teachers 37 14 Female
## 123 2016 1027 40 Preschool and kindergarten teachers 42 17 Female
## 124 2016 1672 3 Postsecondary teachers 67 16 Female
## 125 2016 2021 NA Elementary and middle school teachers 41 16 Female
## 126 2018 802 38 Preschool and kindergarten teachers 19 12 Female
## 127 2018 1278 NA Postsecondary teachers 30 20 Female
## 128 2018 1564 36 Secondary school teachers 61 19 Female
## 129 2018 1756 40 Preschool and kindergarten teachers 35 16 Female
## 130 2016 154 45 Secondary school teachers 61 18 Female
## 131 2016 494 NA Postsecondary teachers 32 20 Male
## 132 2016 1014 NA Elementary and middle school teachers 34 16 Female
## 133 2016 1124 NA Postsecondary teachers 23 17 Male
## 134 2016 1620 40 Special education teachers 53 16 Female
## 135 2016 1680 NA Postsecondary teachers 66 20 Male
## 136 2018 996 25 Other teachers and instructors 34 15 Female
## 137 2018 1745 NA Other teachers and instructors 63 16 Female
## 138 2016 356 32 Elementary and middle school teachers 62 19 Female
## 139 2016 751 40 Preschool and kindergarten teachers 38 14 Female
## 140 2016 1037 70 Other teachers and instructors 43 19 Male
## 141 2016 1177 NA Other teachers and instructors 67 17 Female
## 142 2016 1667 NA Postsecondary teachers 50 20 Female
## 143 2018 140 6 Secondary school teachers 25 15 Female
## 144 2018 870 NA Preschool and kindergarten teachers 29 15 Female
## 145 2018 2279 16 Other teachers and instructors 68 17 Female
## 146 2016 59 40 Postsecondary teachers 59 20 Female
## 147 2016 1779 20 Secondary school teachers 61 16 Female
## 148 2018 536 18 Postsecondary teachers 33 14 Female
## 149 2018 1709 NA Postsecondary teachers 28 19 Female
## 150 2018 2138 6 Postsecondary teachers 72 16 Female
## 151 2018 668 40 Elementary and middle school teachers 30 17 Female
## 152 2016 1379 30 Postsecondary teachers 31 17 Male
## 153 2018 158 30 Elementary and middle school teachers 20 14 Female
## 154 2018 426 18 Special education teachers 74 20 Female
## 155 2016 864 NA Preschool and kindergarten teachers 28 16 Female
## 156 2016 1394 NA Elementary and middle school teachers 57 20 Male
## 157 2016 378 NA Preschool and kindergarten teachers 29 16 Female
## 158 2016 2073 40 Postsecondary teachers 54 16 Female
## 159 2018 1715 NA Postsecondary teachers 24 17 Male
## 160 2018 2064 3 Other teachers and instructors 54 18 Female
## 161 2016 264 NA Preschool and kindergarten teachers 30 13 Female
## 162 2016 1116 5 Other teachers and instructors 69 16 Female
## 163 2016 1546 NA Elementary and middle school teachers 66 18 Male
## 164 2016 1715 40 Preschool and kindergarten teachers 41 16 Female
## 165 2016 1898 40 Other teachers and instructors 27 13 Male
## 166 2016 1464 27 Preschool and kindergarten teachers 31 11 Female
## 167 2018 1615 36 Postsecondary teachers 20 14 Female
## 168 2016 235 25 Secondary school teachers 23 16 Male
## 169 2016 257 40 Teacher assistants 30 16 Female
## 170 2016 963 NA Teacher assistants 46 12 Male
## 171 2016 2745 40 Teacher assistants 61 15 Female
## 172 2018 124 30 Teacher assistants 59 16 Female
## 173 2018 656 NA Teacher assistants 29 16 Female
## 174 2016 1147 60 Teacher assistants 49 17 Female
## 175 2016 2426 64 Teacher assistants 42 12 Male
## 176 2016 2845 40 Teacher assistants 24 14 Female
## 177 2018 1022 35 Teacher assistants 35 12 Female
## 178 2016 37 25 Teacher assistants 59 16 Male
## 179 2016 1470 26 Teacher assistants 63 14 Female
## 180 2016 1916 50 Teacher assistants 39 15 Female
## 181 2016 2489 31 Teacher assistants 31 14 Female
## 182 2016 2809 NA Teacher assistants 58 12 Female
## 183 2018 274 35 Teacher assistants 65 19 Female
## 184 2018 873 28 Teacher assistants 52 16 Female
## 185 2018 2111 45 Teacher assistants 34 14 Female
## 186 2016 2433 NA Teacher assistants 38 14 Female
## 187 2016 1247 21 Teacher assistants 19 13 Male
## 188 2016 1267 NA Teacher assistants 25 16 Female
## income income_recode educ_recode
## 1 $25000 or more 25000 4_Advanced
## 2 $25000 or more 25000 4_Advanced
## 3 $25000 or more 25000 3_Bachelors
## 4 $25000 or more 25000 4_Advanced
## 5 $25000 or more 25000 3_Bachelors
## 6 $25000 or more 25000 4_Advanced
## 7 $25000 or more 25000 4_Advanced
## 8 $25000 or more 25000 4_Advanced
## 9 $25000 or more 25000 3_Bachelors
## 10 $25000 or more 25000 4_Advanced
## 11 $25000 or more 25000 4_Advanced
## 12 $25000 or more 25000 3_Bachelors
## 13 $25000 or more 25000 4_Advanced
## 14 $25000 or more 25000 4_Advanced
## 15 $25000 or more 25000 4_Advanced
## 16 $25000 or more 25000 4_Advanced
## 17 $25000 or more 25000 4_Advanced
## 18 $25000 or more 25000 4_Advanced
## 19 $25000 or more 25000 3_Bachelors
## 20 $25000 or more 25000 3_Bachelors
## 21 $25000 or more 25000 3_Bachelors
## 22 $25000 or more 25000 3_Bachelors
## 23 $25000 or more 25000 4_Advanced
## 24 $25000 or more 25000 4_Advanced
## 25 $25000 or more 25000 4_Advanced
## 26 $25000 or more 25000 4_Advanced
## 27 $25000 or more 25000 4_Advanced
## 28 $25000 or more 25000 4_Advanced
## 29 $25000 or more 25000 3_Bachelors
## 30 $25000 or more 25000 3_Bachelors
## 31 $25000 or more 25000 3_Bachelors
## 32 $25000 or more 25000 4_Advanced
## 33 $25000 or more 25000 3_Bachelors
## 34 $25000 or more 25000 3_Bachelors
## 35 $25000 or more 25000 4_Advanced
## 36 $25000 or more 25000 4_Advanced
## 37 $25000 or more 25000 4_Advanced
## 38 $25000 or more 25000 4_Advanced
## 39 $25000 or more 25000 2_some_college
## 40 $25000 or more 25000 4_Advanced
## 41 $25000 or more 25000 3_Bachelors
## 42 $25000 or more 25000 4_Advanced
## 43 $25000 or more 25000 3_Bachelors
## 44 $25000 or more 25000 4_Advanced
## 45 $25000 or more 25000 3_Bachelors
## 46 $25000 or more 25000 4_Advanced
## 47 $25000 or more 25000 3_Bachelors
## 48 $25000 or more 25000 3_Bachelors
## 49 $25000 or more 25000 3_Bachelors
## 50 $25000 or more 25000 4_Advanced
## 51 $25000 or more 25000 4_Advanced
## 52 $25000 or more 25000 4_Advanced
## 53 $25000 or more 25000 4_Advanced
## 54 $25000 or more 25000 4_Advanced
## 55 $25000 or more 25000 4_Advanced
## 56 $25000 or more 25000 4_Advanced
## 57 $25000 or more 25000 4_Advanced
## 58 $25000 or more 25000 4_Advanced
## 59 $25000 or more 25000 4_Advanced
## 60 $25000 or more 25000 4_Advanced
## 61 $25000 or more 25000 4_Advanced
## 62 $25000 or more 25000 4_Advanced
## 63 $25000 or more 25000 3_Bachelors
## 64 $25000 or more 25000 4_Advanced
## 65 $25000 or more 25000 4_Advanced
## 66 $25000 or more 25000 4_Advanced
## 67 $25000 or more 25000 4_Advanced
## 68 $25000 or more 25000 4_Advanced
## 69 $25000 or more 25000 3_Bachelors
## 70 $25000 or more 25000 4_Advanced
## 71 $25000 or more 25000 3_Bachelors
## 72 $25000 or more 25000 4_Advanced
## 73 $25000 or more 25000 4_Advanced
## 74 $25000 or more 25000 3_Bachelors
## 75 $25000 or more 25000 2_some_college
## 76 $25000 or more 25000 3_Bachelors
## 77 $25000 or more 25000 4_Advanced
## 78 $25000 or more 25000 3_Bachelors
## 79 $25000 or more 25000 3_Bachelors
## 80 $25000 or more 25000 2_some_college
## 81 $25000 or more 25000 3_Bachelors
## 82 $25000 or more 25000 4_Advanced
## 83 $25000 or more 25000 4_Advanced
## 84 $25000 or more 25000 2_some_college
## 85 $25000 or more 25000 3_Bachelors
## 86 $25000 or more 25000 3_Bachelors
## 87 $25000 or more 25000 3_Bachelors
## 88 $25000 or more 25000 3_Bachelors
## 89 $25000 or more 25000 1_hs
## 90 $25000 or more 25000 3_Bachelors
## 91 $25000 or more 25000 3_Bachelors
## 92 $25000 or more 25000 3_Bachelors
## 93 $25000 or more 25000 2_some_college
## 94 $25000 or more 25000 2_some_college
## 95 $25000 or more 25000 3_Bachelors
## 96 $25000 or more 25000 3_Bachelors
## 97 $25000 or more 25000 4_Advanced
## 98 $25000 or more 25000 4_Advanced
## 99 $25000 or more 25000 4_Advanced
## 100 $25000 or more 25000 4_Advanced
## 101 $25000 or more 25000 4_Advanced
## 102 $25000 or more 25000 4_Advanced
## 103 $25000 or more 25000 3_Bachelors
## 104 $25000 or more 25000 3_Bachelors
## 105 $25000 or more 25000 4_Advanced
## 106 $25000 or more 25000 3_Bachelors
## 107 $25000 or more 25000 4_Advanced
## 108 $25000 or more 25000 4_Advanced
## 109 $25000 or more 25000 4_Advanced
## 110 $25000 or more 25000 4_Advanced
## 111 $25000 or more 25000 3_Bachelors
## 112 $25000 or more 25000 4_Advanced
## 113 $25000 or more 25000 4_Advanced
## 114 $25000 or more 25000 4_Advanced
## 115 $25000 or more 25000 4_Advanced
## 116 $25000 or more 25000 4_Advanced
## 117 $25000 or more 25000 3_Bachelors
## 118 $25000 or more 25000 4_Advanced
## 119 $20000 - 24999 22500 4_Advanced
## 120 $20000 - 24999 22500 1_hs
## 121 $20000 - 24999 22500 3_Bachelors
## 122 $20000 - 24999 22500 2_some_college
## 123 $20000 - 24999 22500 4_Advanced
## 124 $20000 - 24999 22500 3_Bachelors
## 125 $20000 - 24999 22500 3_Bachelors
## 126 $20000 - 24999 22500 1_hs
## 127 $20000 - 24999 22500 4_Advanced
## 128 $20000 - 24999 22500 4_Advanced
## 129 $20000 - 24999 22500 3_Bachelors
## 130 $15000 - 19999 17500 4_Advanced
## 131 $15000 - 19999 17500 4_Advanced
## 132 $15000 - 19999 17500 3_Bachelors
## 133 $15000 - 19999 17500 4_Advanced
## 134 $15000 - 19999 17500 3_Bachelors
## 135 $15000 - 19999 17500 4_Advanced
## 136 $15000 - 19999 17500 2_some_college
## 137 $15000 - 19999 17500 3_Bachelors
## 138 $10000 - 14999 12500 4_Advanced
## 139 $10000 - 14999 12500 2_some_college
## 140 $10000 - 14999 12500 4_Advanced
## 141 $10000 - 14999 12500 4_Advanced
## 142 $10000 - 14999 12500 4_Advanced
## 143 $10000 - 14999 12500 2_some_college
## 144 $10000 - 14999 12500 2_some_college
## 145 $10000 - 14999 12500 4_Advanced
## 146 $8000 to 9999 9000 4_Advanced
## 147 $8000 to 9999 9000 3_Bachelors
## 148 $8000 to 9999 9000 2_some_college
## 149 $8000 to 9999 9000 4_Advanced
## 150 $8000 to 9999 9000 3_Bachelors
## 151 $7000 to 7999 7500 4_Advanced
## 152 $6000 to 6999 6500 4_Advanced
## 153 $6000 to 6999 6500 2_some_college
## 154 $6000 to 6999 6500 4_Advanced
## 155 $5000 to 5999 5500 3_Bachelors
## 156 $5000 to 5999 5500 4_Advanced
## 157 $4000 to 4999 4500 3_Bachelors
## 158 $4000 to 4999 4500 3_Bachelors
## 159 $4000 to 4999 4500 4_Advanced
## 160 $4000 to 4999 4500 4_Advanced
## 161 $3000 to 3999 3500 2_some_college
## 162 $3000 to 3999 3500 3_Bachelors
## 163 $3000 to 3999 3500 4_Advanced
## 164 $3000 to 3999 3500 3_Bachelors
## 165 $3000 to 3999 3500 2_some_college
## 166 $1000 to 2999 1500 0_no_1_hs
## 167 $1000 to 2999 1500 2_some_college
## 168 Lt $1000 500 3_Bachelors
## 169 $25000 or more 25000 3_Bachelors
## 170 $25000 or more 25000 1_hs
## 171 $25000 or more 25000 2_some_college
## 172 $25000 or more 25000 3_Bachelors
## 173 $25000 or more 25000 3_Bachelors
## 174 $20000 - 24999 22500 4_Advanced
## 175 $20000 - 24999 22500 1_hs
## 176 $20000 - 24999 22500 2_some_college
## 177 $20000 - 24999 22500 1_hs
## 178 $15000 - 19999 17500 3_Bachelors
## 179 $15000 - 19999 17500 2_some_college
## 180 $15000 - 19999 17500 2_some_college
## 181 $10000 - 14999 12500 2_some_college
## 182 $10000 - 14999 12500 1_hs
## 183 $10000 - 14999 12500 4_Advanced
## 184 $10000 - 14999 12500 3_Bachelors
## 185 $10000 - 14999 12500 2_some_college
## 186 $7000 to 7999 7500 2_some_college
## 187 $6000 to 6999 6500 2_some_college
## 188 $5000 to 5999 5500 3_Bachelors
a4 = subset(a3, sex == 'Male')%>%group_by(educ_recode)%>% summarize(tot_pay = mean(income_recode), median = median(income_recode), count = n())
a5 = subset(a3,sex == 'Female')%>%group_by(educ_recode)%>%summarize(tot_pay = mean(income_recode), median = median(income_recode), count = n())
a4
## # A tibble: 4 x 4
## educ_recode tot_pay median count
## <chr> <dbl> <dbl> <int>
## 1 1_hs 23750 23750 2
## 2 2_some_college 15000 15750 4
## 3 3_Bachelors 22844. 25000 16
## 4 4_Advanced 20741. 25000 27
a5
## # A tibble: 5 x 4
## educ_recode tot_pay median count
## <chr> <dbl> <dbl> <int>
## 1 0_no_1_hs 1500 1500 1
## 2 1_hs 21000 22500 5
## 3 2_some_college 15650 15000 20
## 4 3_Bachelors 20707. 25000 46
## 5 4_Advanced 22448. 25000 67
ggplot(a4, aes(educ_recode, tot_pay)) +
geom_point(varwidth = TRUE)+ xlab("Education Level") +
ylab("Income measure") +
ggtitle(" Male income in educational area")
## Warning: Ignoring unknown parameters: varwidth
ggplot(a5, aes(educ_recode, tot_pay)) +
geom_point(varwidth = TRUE)+xlab("Education Level") +
ylab("Income measure") +
ggtitle(" Female income in educational area")
## Warning: Ignoring unknown parameters: varwidth
a1 = q1%>%
filter(grepl('teacher',occupation))
a2 = q1%>%
filter(grepl('Teacher',occupation))
a1
## year id hours_wkd occupation age educ sex
## 1 2016 19 40 Elementary and middle school teachers 31 18 Male
## 2 2016 29 NA Secondary school teachers 74 18 Male
## 3 2016 38 40 Elementary and middle school teachers 43 16 Female
## 4 2016 121 40 Secondary school teachers 55 18 Female
## 5 2016 150 30 Other teachers and instructors 30 16 Male
## 6 2016 259 50 Elementary and middle school teachers 35 20 Female
## 7 2016 261 NA Postsecondary teachers 62 20 Female
## 8 2016 277 55 Elementary and middle school teachers 44 20 Female
## 9 2016 292 40 Other teachers and instructors 61 16 Male
## 10 2016 300 40 Other teachers and instructors 40 17 Male
## 11 2016 380 24 Postsecondary teachers 68 18 Female
## 12 2016 395 NA Postsecondary teachers 25 16 Male
## 13 2016 408 30 Postsecondary teachers 59 20 Female
## 14 2016 412 40 Elementary and middle school teachers 37 20 Male
## 15 2016 468 50 Postsecondary teachers 59 20 Female
## 16 2016 471 50 Secondary school teachers 59 18 Female
## 17 2016 488 40 Postsecondary teachers 73 20 Male
## 18 2016 609 40 Elementary and middle school teachers 47 20 Female
## 19 2016 705 1 Elementary and middle school teachers 40 16 Female
## 20 2016 737 60 Secondary school teachers 52 16 Female
## 21 2016 798 27 Postsecondary teachers 70 16 Female
## 22 2016 912 NA Elementary and middle school teachers 27 16 Female
## 23 2016 920 40 Secondary school teachers 51 18 Female
## 24 2016 1007 8 Other teachers and instructors 34 17 Female
## 25 2016 1008 60 Secondary school teachers 32 19 Female
## 26 2016 1010 NA Preschool and kindergarten teachers 31 20 Female
## 27 2016 1020 55 Secondary school teachers 63 18 Male
## 28 2016 1030 44 Postsecondary teachers 41 20 Male
## 29 2016 1050 60 Elementary and middle school teachers 25 16 Female
## 30 2016 1138 50 Elementary and middle school teachers 47 16 Female
## 31 2016 1244 40 Postsecondary teachers 33 16 Male
## 32 2016 1249 55 Special education teachers 38 20 Male
## 33 2016 1355 62 Elementary and middle school teachers 42 16 Male
## 34 2016 1442 NA Elementary and middle school teachers 31 16 Female
## 35 2016 1490 40 Secondary school teachers 38 19 Female
## 36 2016 1530 60 Secondary school teachers 47 20 Male
## 37 2016 1536 35 Postsecondary teachers 53 18 Male
## 38 2016 1575 45 Special education teachers 42 18 Female
## 39 2016 1590 25 Secondary school teachers 59 14 Female
## 40 2016 1596 48 Postsecondary teachers 52 20 Female
## 41 2016 1700 40 Preschool and kindergarten teachers 59 16 Female
## 42 2016 1705 NA Secondary school teachers 41 18 Female
## 43 2016 1717 NA Secondary school teachers 45 16 Female
## 44 2016 1783 NA Elementary and middle school teachers 63 17 Female
## 45 2016 1825 40 Elementary and middle school teachers 50 16 Male
## 46 2016 1889 40 Postsecondary teachers 53 20 Male
## 47 2016 2083 NA Elementary and middle school teachers 39 16 Female
## 48 2016 2130 45 Secondary school teachers 47 16 Female
## 49 2016 2153 NA Elementary and middle school teachers 38 16 Female
## 50 2016 2422 40 Secondary school teachers 37 17 Female
## 51 2016 2431 50 Special education teachers 27 20 Female
## 52 2016 2467 44 Postsecondary teachers 46 20 Female
## 53 2016 2543 45 Elementary and middle school teachers 34 17 Female
## 54 2016 2667 50 Elementary and middle school teachers 26 17 Female
## 55 2016 2672 70 Other teachers and instructors 49 20 Male
## 56 2016 2675 40 Secondary school teachers 42 19 Female
## 57 2016 2698 40 Postsecondary teachers 54 20 Female
## 58 2016 2717 45 Elementary and middle school teachers 34 20 Female
## 59 2016 2721 70 Secondary school teachers 49 20 Female
## 60 2016 2740 40 Elementary and middle school teachers 43 18 Female
## 61 2016 2814 3 Postsecondary teachers 66 18 Female
## 62 2016 2833 50 Elementary and middle school teachers 27 18 Female
## 63 2016 2840 3 Secondary school teachers 52 16 Male
## 64 2018 19 40 Secondary school teachers 40 20 Female
## 65 2018 126 40 Secondary school teachers 48 18 Male
## 66 2018 239 NA Elementary and middle school teachers 65 18 Male
## 67 2018 299 37 Special education teachers 31 20 Female
## 68 2018 319 35 Special education teachers 34 20 Female
## 69 2018 367 40 Postsecondary teachers 70 16 Female
## 70 2018 388 40 Postsecondary teachers 29 20 Female
## 71 2018 454 55 Elementary and middle school teachers 33 16 Female
## 72 2018 477 42 Other teachers and instructors 40 18 Female
## 73 2018 635 40 Postsecondary teachers 62 18 Male
## 74 2018 641 NA Postsecondary teachers 53 16 Male
## 75 2018 682 NA Other teachers and instructors 71 15 Female
## 76 2018 683 37 Other teachers and instructors 58 16 Female
## 77 2018 720 40 Secondary school teachers 46 18 Male
## 78 2018 742 40 Other teachers and instructors 46 16 Male
## 79 2018 763 NA Other teachers and instructors 42 16 Female
## 80 2018 799 70 Other teachers and instructors 59 14 Female
## 81 2018 826 48 Elementary and middle school teachers 54 16 Female
## 82 2018 854 40 Elementary and middle school teachers 53 17 Female
## 83 2018 929 50 Elementary and middle school teachers 59 20 Female
## 84 2018 961 40 Elementary and middle school teachers 38 14 Male
## 85 2018 982 35 Postsecondary teachers 43 16 Female
## 86 2018 1008 NA Elementary and middle school teachers 37 16 Female
## 87 2018 1034 30 Other teachers and instructors 31 16 Female
## 88 2018 1038 40 Secondary school teachers 54 16 Male
## 89 2018 1111 50 Postsecondary teachers 57 12 Female
## 90 2018 1126 40 Special education teachers 29 16 Male
## 91 2018 1160 2 Secondary school teachers 64 16 Male
## 92 2018 1204 NA Secondary school teachers 34 16 Female
## 93 2018 1228 50 Postsecondary teachers 25 13 Female
## 94 2018 1290 20 Postsecondary teachers 73 15 Male
## 95 2018 1380 40 Elementary and middle school teachers 29 16 Female
## 96 2018 1400 40 Secondary school teachers 40 16 Male
## 97 2018 1438 40 Secondary school teachers 29 17 Female
## 98 2018 1454 NA Other teachers and instructors 48 18 Female
## 99 2018 1558 25 Postsecondary teachers 44 17 Female
## 100 2018 1570 15 Secondary school teachers 37 17 Male
## 101 2018 1694 NA Elementary and middle school teachers 57 18 Female
## 102 2018 1726 40 Postsecondary teachers 52 18 Male
## 103 2018 1761 40 Secondary school teachers 47 16 Female
## 104 2018 1788 20 Postsecondary teachers 33 16 Female
## 105 2018 1806 16 Postsecondary teachers 70 17 Female
## 106 2018 1832 40 Secondary school teachers 49 16 Female
## 107 2018 1860 36 Elementary and middle school teachers 28 18 Female
## 108 2018 1912 20 Secondary school teachers 35 20 Female
## 109 2018 1957 50 Secondary school teachers 49 17 Female
## 110 2018 2004 40 Elementary and middle school teachers 55 17 Female
## 111 2018 2026 NA Secondary school teachers 26 16 Female
## 112 2018 2042 40 Elementary and middle school teachers 53 20 Male
## 113 2018 2133 50 Elementary and middle school teachers 38 20 Female
## 114 2018 2207 50 Elementary and middle school teachers 33 20 Female
## 115 2018 2211 45 Secondary school teachers 50 20 Female
## 116 2018 2252 NA Elementary and middle school teachers 30 19 Female
## 117 2018 2261 40 Elementary and middle school teachers 24 16 Female
## 118 2018 2318 NA Postsecondary teachers 36 20 Female
## 119 2016 57 40 Preschool and kindergarten teachers 40 17 Female
## 120 2016 415 40 Preschool and kindergarten teachers 34 12 Female
## 121 2016 677 42 Special education teachers 27 16 Male
## 122 2016 732 NA Elementary and middle school teachers 37 14 Female
## 123 2016 1027 40 Preschool and kindergarten teachers 42 17 Female
## 124 2016 1672 3 Postsecondary teachers 67 16 Female
## 125 2016 2021 NA Elementary and middle school teachers 41 16 Female
## 126 2018 802 38 Preschool and kindergarten teachers 19 12 Female
## 127 2018 1278 NA Postsecondary teachers 30 20 Female
## 128 2018 1564 36 Secondary school teachers 61 19 Female
## 129 2018 1756 40 Preschool and kindergarten teachers 35 16 Female
## 130 2016 154 45 Secondary school teachers 61 18 Female
## 131 2016 494 NA Postsecondary teachers 32 20 Male
## 132 2016 1014 NA Elementary and middle school teachers 34 16 Female
## 133 2016 1124 NA Postsecondary teachers 23 17 Male
## 134 2016 1620 40 Special education teachers 53 16 Female
## 135 2016 1680 NA Postsecondary teachers 66 20 Male
## 136 2018 996 25 Other teachers and instructors 34 15 Female
## 137 2018 1745 NA Other teachers and instructors 63 16 Female
## 138 2016 356 32 Elementary and middle school teachers 62 19 Female
## 139 2016 751 40 Preschool and kindergarten teachers 38 14 Female
## 140 2016 1037 70 Other teachers and instructors 43 19 Male
## 141 2016 1177 NA Other teachers and instructors 67 17 Female
## 142 2016 1667 NA Postsecondary teachers 50 20 Female
## 143 2018 140 6 Secondary school teachers 25 15 Female
## 144 2018 870 NA Preschool and kindergarten teachers 29 15 Female
## 145 2018 2279 16 Other teachers and instructors 68 17 Female
## 146 2016 59 40 Postsecondary teachers 59 20 Female
## 147 2016 1779 20 Secondary school teachers 61 16 Female
## 148 2018 536 18 Postsecondary teachers 33 14 Female
## 149 2018 1709 NA Postsecondary teachers 28 19 Female
## 150 2018 2138 6 Postsecondary teachers 72 16 Female
## 151 2018 668 40 Elementary and middle school teachers 30 17 Female
## 152 2016 1379 30 Postsecondary teachers 31 17 Male
## 153 2018 158 30 Elementary and middle school teachers 20 14 Female
## 154 2018 426 18 Special education teachers 74 20 Female
## 155 2016 864 NA Preschool and kindergarten teachers 28 16 Female
## 156 2016 1394 NA Elementary and middle school teachers 57 20 Male
## 157 2016 378 NA Preschool and kindergarten teachers 29 16 Female
## 158 2016 2073 40 Postsecondary teachers 54 16 Female
## 159 2018 1715 NA Postsecondary teachers 24 17 Male
## 160 2018 2064 3 Other teachers and instructors 54 18 Female
## 161 2016 264 NA Preschool and kindergarten teachers 30 13 Female
## 162 2016 1116 5 Other teachers and instructors 69 16 Female
## 163 2016 1546 NA Elementary and middle school teachers 66 18 Male
## 164 2016 1715 40 Preschool and kindergarten teachers 41 16 Female
## 165 2016 1898 40 Other teachers and instructors 27 13 Male
## 166 2016 1464 27 Preschool and kindergarten teachers 31 11 Female
## 167 2018 1615 36 Postsecondary teachers 20 14 Female
## 168 2016 235 25 Secondary school teachers 23 16 Male
## income income_recode educ_recode
## 1 $25000 or more 25000 4_Advanced
## 2 $25000 or more 25000 4_Advanced
## 3 $25000 or more 25000 3_Bachelors
## 4 $25000 or more 25000 4_Advanced
## 5 $25000 or more 25000 3_Bachelors
## 6 $25000 or more 25000 4_Advanced
## 7 $25000 or more 25000 4_Advanced
## 8 $25000 or more 25000 4_Advanced
## 9 $25000 or more 25000 3_Bachelors
## 10 $25000 or more 25000 4_Advanced
## 11 $25000 or more 25000 4_Advanced
## 12 $25000 or more 25000 3_Bachelors
## 13 $25000 or more 25000 4_Advanced
## 14 $25000 or more 25000 4_Advanced
## 15 $25000 or more 25000 4_Advanced
## 16 $25000 or more 25000 4_Advanced
## 17 $25000 or more 25000 4_Advanced
## 18 $25000 or more 25000 4_Advanced
## 19 $25000 or more 25000 3_Bachelors
## 20 $25000 or more 25000 3_Bachelors
## 21 $25000 or more 25000 3_Bachelors
## 22 $25000 or more 25000 3_Bachelors
## 23 $25000 or more 25000 4_Advanced
## 24 $25000 or more 25000 4_Advanced
## 25 $25000 or more 25000 4_Advanced
## 26 $25000 or more 25000 4_Advanced
## 27 $25000 or more 25000 4_Advanced
## 28 $25000 or more 25000 4_Advanced
## 29 $25000 or more 25000 3_Bachelors
## 30 $25000 or more 25000 3_Bachelors
## 31 $25000 or more 25000 3_Bachelors
## 32 $25000 or more 25000 4_Advanced
## 33 $25000 or more 25000 3_Bachelors
## 34 $25000 or more 25000 3_Bachelors
## 35 $25000 or more 25000 4_Advanced
## 36 $25000 or more 25000 4_Advanced
## 37 $25000 or more 25000 4_Advanced
## 38 $25000 or more 25000 4_Advanced
## 39 $25000 or more 25000 2_some_college
## 40 $25000 or more 25000 4_Advanced
## 41 $25000 or more 25000 3_Bachelors
## 42 $25000 or more 25000 4_Advanced
## 43 $25000 or more 25000 3_Bachelors
## 44 $25000 or more 25000 4_Advanced
## 45 $25000 or more 25000 3_Bachelors
## 46 $25000 or more 25000 4_Advanced
## 47 $25000 or more 25000 3_Bachelors
## 48 $25000 or more 25000 3_Bachelors
## 49 $25000 or more 25000 3_Bachelors
## 50 $25000 or more 25000 4_Advanced
## 51 $25000 or more 25000 4_Advanced
## 52 $25000 or more 25000 4_Advanced
## 53 $25000 or more 25000 4_Advanced
## 54 $25000 or more 25000 4_Advanced
## 55 $25000 or more 25000 4_Advanced
## 56 $25000 or more 25000 4_Advanced
## 57 $25000 or more 25000 4_Advanced
## 58 $25000 or more 25000 4_Advanced
## 59 $25000 or more 25000 4_Advanced
## 60 $25000 or more 25000 4_Advanced
## 61 $25000 or more 25000 4_Advanced
## 62 $25000 or more 25000 4_Advanced
## 63 $25000 or more 25000 3_Bachelors
## 64 $25000 or more 25000 4_Advanced
## 65 $25000 or more 25000 4_Advanced
## 66 $25000 or more 25000 4_Advanced
## 67 $25000 or more 25000 4_Advanced
## 68 $25000 or more 25000 4_Advanced
## 69 $25000 or more 25000 3_Bachelors
## 70 $25000 or more 25000 4_Advanced
## 71 $25000 or more 25000 3_Bachelors
## 72 $25000 or more 25000 4_Advanced
## 73 $25000 or more 25000 4_Advanced
## 74 $25000 or more 25000 3_Bachelors
## 75 $25000 or more 25000 2_some_college
## 76 $25000 or more 25000 3_Bachelors
## 77 $25000 or more 25000 4_Advanced
## 78 $25000 or more 25000 3_Bachelors
## 79 $25000 or more 25000 3_Bachelors
## 80 $25000 or more 25000 2_some_college
## 81 $25000 or more 25000 3_Bachelors
## 82 $25000 or more 25000 4_Advanced
## 83 $25000 or more 25000 4_Advanced
## 84 $25000 or more 25000 2_some_college
## 85 $25000 or more 25000 3_Bachelors
## 86 $25000 or more 25000 3_Bachelors
## 87 $25000 or more 25000 3_Bachelors
## 88 $25000 or more 25000 3_Bachelors
## 89 $25000 or more 25000 1_hs
## 90 $25000 or more 25000 3_Bachelors
## 91 $25000 or more 25000 3_Bachelors
## 92 $25000 or more 25000 3_Bachelors
## 93 $25000 or more 25000 2_some_college
## 94 $25000 or more 25000 2_some_college
## 95 $25000 or more 25000 3_Bachelors
## 96 $25000 or more 25000 3_Bachelors
## 97 $25000 or more 25000 4_Advanced
## 98 $25000 or more 25000 4_Advanced
## 99 $25000 or more 25000 4_Advanced
## 100 $25000 or more 25000 4_Advanced
## 101 $25000 or more 25000 4_Advanced
## 102 $25000 or more 25000 4_Advanced
## 103 $25000 or more 25000 3_Bachelors
## 104 $25000 or more 25000 3_Bachelors
## 105 $25000 or more 25000 4_Advanced
## 106 $25000 or more 25000 3_Bachelors
## 107 $25000 or more 25000 4_Advanced
## 108 $25000 or more 25000 4_Advanced
## 109 $25000 or more 25000 4_Advanced
## 110 $25000 or more 25000 4_Advanced
## 111 $25000 or more 25000 3_Bachelors
## 112 $25000 or more 25000 4_Advanced
## 113 $25000 or more 25000 4_Advanced
## 114 $25000 or more 25000 4_Advanced
## 115 $25000 or more 25000 4_Advanced
## 116 $25000 or more 25000 4_Advanced
## 117 $25000 or more 25000 3_Bachelors
## 118 $25000 or more 25000 4_Advanced
## 119 $20000 - 24999 22500 4_Advanced
## 120 $20000 - 24999 22500 1_hs
## 121 $20000 - 24999 22500 3_Bachelors
## 122 $20000 - 24999 22500 2_some_college
## 123 $20000 - 24999 22500 4_Advanced
## 124 $20000 - 24999 22500 3_Bachelors
## 125 $20000 - 24999 22500 3_Bachelors
## 126 $20000 - 24999 22500 1_hs
## 127 $20000 - 24999 22500 4_Advanced
## 128 $20000 - 24999 22500 4_Advanced
## 129 $20000 - 24999 22500 3_Bachelors
## 130 $15000 - 19999 17500 4_Advanced
## 131 $15000 - 19999 17500 4_Advanced
## 132 $15000 - 19999 17500 3_Bachelors
## 133 $15000 - 19999 17500 4_Advanced
## 134 $15000 - 19999 17500 3_Bachelors
## 135 $15000 - 19999 17500 4_Advanced
## 136 $15000 - 19999 17500 2_some_college
## 137 $15000 - 19999 17500 3_Bachelors
## 138 $10000 - 14999 12500 4_Advanced
## 139 $10000 - 14999 12500 2_some_college
## 140 $10000 - 14999 12500 4_Advanced
## 141 $10000 - 14999 12500 4_Advanced
## 142 $10000 - 14999 12500 4_Advanced
## 143 $10000 - 14999 12500 2_some_college
## 144 $10000 - 14999 12500 2_some_college
## 145 $10000 - 14999 12500 4_Advanced
## 146 $8000 to 9999 9000 4_Advanced
## 147 $8000 to 9999 9000 3_Bachelors
## 148 $8000 to 9999 9000 2_some_college
## 149 $8000 to 9999 9000 4_Advanced
## 150 $8000 to 9999 9000 3_Bachelors
## 151 $7000 to 7999 7500 4_Advanced
## 152 $6000 to 6999 6500 4_Advanced
## 153 $6000 to 6999 6500 2_some_college
## 154 $6000 to 6999 6500 4_Advanced
## 155 $5000 to 5999 5500 3_Bachelors
## 156 $5000 to 5999 5500 4_Advanced
## 157 $4000 to 4999 4500 3_Bachelors
## 158 $4000 to 4999 4500 3_Bachelors
## 159 $4000 to 4999 4500 4_Advanced
## 160 $4000 to 4999 4500 4_Advanced
## 161 $3000 to 3999 3500 2_some_college
## 162 $3000 to 3999 3500 3_Bachelors
## 163 $3000 to 3999 3500 4_Advanced
## 164 $3000 to 3999 3500 3_Bachelors
## 165 $3000 to 3999 3500 2_some_college
## 166 $1000 to 2999 1500 0_no_1_hs
## 167 $1000 to 2999 1500 2_some_college
## 168 Lt $1000 500 3_Bachelors
a2
## year id hours_wkd occupation age educ sex income
## 1 2016 257 40 Teacher assistants 30 16 Female $25000 or more
## 2 2016 963 NA Teacher assistants 46 12 Male $25000 or more
## 3 2016 2745 40 Teacher assistants 61 15 Female $25000 or more
## 4 2018 124 30 Teacher assistants 59 16 Female $25000 or more
## 5 2018 656 NA Teacher assistants 29 16 Female $25000 or more
## 6 2016 1147 60 Teacher assistants 49 17 Female $20000 - 24999
## 7 2016 2426 64 Teacher assistants 42 12 Male $20000 - 24999
## 8 2016 2845 40 Teacher assistants 24 14 Female $20000 - 24999
## 9 2018 1022 35 Teacher assistants 35 12 Female $20000 - 24999
## 10 2016 37 25 Teacher assistants 59 16 Male $15000 - 19999
## 11 2016 1470 26 Teacher assistants 63 14 Female $15000 - 19999
## 12 2016 1916 50 Teacher assistants 39 15 Female $15000 - 19999
## 13 2016 2489 31 Teacher assistants 31 14 Female $10000 - 14999
## 14 2016 2809 NA Teacher assistants 58 12 Female $10000 - 14999
## 15 2018 274 35 Teacher assistants 65 19 Female $10000 - 14999
## 16 2018 873 28 Teacher assistants 52 16 Female $10000 - 14999
## 17 2018 2111 45 Teacher assistants 34 14 Female $10000 - 14999
## 18 2016 2433 NA Teacher assistants 38 14 Female $7000 to 7999
## 19 2016 1247 21 Teacher assistants 19 13 Male $6000 to 6999
## 20 2016 1267 NA Teacher assistants 25 16 Female $5000 to 5999
## income_recode educ_recode
## 1 25000 3_Bachelors
## 2 25000 1_hs
## 3 25000 2_some_college
## 4 25000 3_Bachelors
## 5 25000 3_Bachelors
## 6 22500 4_Advanced
## 7 22500 1_hs
## 8 22500 2_some_college
## 9 22500 1_hs
## 10 17500 3_Bachelors
## 11 17500 2_some_college
## 12 17500 2_some_college
## 13 12500 2_some_college
## 14 12500 1_hs
## 15 12500 4_Advanced
## 16 12500 3_Bachelors
## 17 12500 2_some_college
## 18 7500 2_some_college
## 19 6500 2_some_college
## 20 5500 3_Bachelors
a3 = rbind(a1,a2)
a3
## year id hours_wkd occupation age educ sex
## 1 2016 19 40 Elementary and middle school teachers 31 18 Male
## 2 2016 29 NA Secondary school teachers 74 18 Male
## 3 2016 38 40 Elementary and middle school teachers 43 16 Female
## 4 2016 121 40 Secondary school teachers 55 18 Female
## 5 2016 150 30 Other teachers and instructors 30 16 Male
## 6 2016 259 50 Elementary and middle school teachers 35 20 Female
## 7 2016 261 NA Postsecondary teachers 62 20 Female
## 8 2016 277 55 Elementary and middle school teachers 44 20 Female
## 9 2016 292 40 Other teachers and instructors 61 16 Male
## 10 2016 300 40 Other teachers and instructors 40 17 Male
## 11 2016 380 24 Postsecondary teachers 68 18 Female
## 12 2016 395 NA Postsecondary teachers 25 16 Male
## 13 2016 408 30 Postsecondary teachers 59 20 Female
## 14 2016 412 40 Elementary and middle school teachers 37 20 Male
## 15 2016 468 50 Postsecondary teachers 59 20 Female
## 16 2016 471 50 Secondary school teachers 59 18 Female
## 17 2016 488 40 Postsecondary teachers 73 20 Male
## 18 2016 609 40 Elementary and middle school teachers 47 20 Female
## 19 2016 705 1 Elementary and middle school teachers 40 16 Female
## 20 2016 737 60 Secondary school teachers 52 16 Female
## 21 2016 798 27 Postsecondary teachers 70 16 Female
## 22 2016 912 NA Elementary and middle school teachers 27 16 Female
## 23 2016 920 40 Secondary school teachers 51 18 Female
## 24 2016 1007 8 Other teachers and instructors 34 17 Female
## 25 2016 1008 60 Secondary school teachers 32 19 Female
## 26 2016 1010 NA Preschool and kindergarten teachers 31 20 Female
## 27 2016 1020 55 Secondary school teachers 63 18 Male
## 28 2016 1030 44 Postsecondary teachers 41 20 Male
## 29 2016 1050 60 Elementary and middle school teachers 25 16 Female
## 30 2016 1138 50 Elementary and middle school teachers 47 16 Female
## 31 2016 1244 40 Postsecondary teachers 33 16 Male
## 32 2016 1249 55 Special education teachers 38 20 Male
## 33 2016 1355 62 Elementary and middle school teachers 42 16 Male
## 34 2016 1442 NA Elementary and middle school teachers 31 16 Female
## 35 2016 1490 40 Secondary school teachers 38 19 Female
## 36 2016 1530 60 Secondary school teachers 47 20 Male
## 37 2016 1536 35 Postsecondary teachers 53 18 Male
## 38 2016 1575 45 Special education teachers 42 18 Female
## 39 2016 1590 25 Secondary school teachers 59 14 Female
## 40 2016 1596 48 Postsecondary teachers 52 20 Female
## 41 2016 1700 40 Preschool and kindergarten teachers 59 16 Female
## 42 2016 1705 NA Secondary school teachers 41 18 Female
## 43 2016 1717 NA Secondary school teachers 45 16 Female
## 44 2016 1783 NA Elementary and middle school teachers 63 17 Female
## 45 2016 1825 40 Elementary and middle school teachers 50 16 Male
## 46 2016 1889 40 Postsecondary teachers 53 20 Male
## 47 2016 2083 NA Elementary and middle school teachers 39 16 Female
## 48 2016 2130 45 Secondary school teachers 47 16 Female
## 49 2016 2153 NA Elementary and middle school teachers 38 16 Female
## 50 2016 2422 40 Secondary school teachers 37 17 Female
## 51 2016 2431 50 Special education teachers 27 20 Female
## 52 2016 2467 44 Postsecondary teachers 46 20 Female
## 53 2016 2543 45 Elementary and middle school teachers 34 17 Female
## 54 2016 2667 50 Elementary and middle school teachers 26 17 Female
## 55 2016 2672 70 Other teachers and instructors 49 20 Male
## 56 2016 2675 40 Secondary school teachers 42 19 Female
## 57 2016 2698 40 Postsecondary teachers 54 20 Female
## 58 2016 2717 45 Elementary and middle school teachers 34 20 Female
## 59 2016 2721 70 Secondary school teachers 49 20 Female
## 60 2016 2740 40 Elementary and middle school teachers 43 18 Female
## 61 2016 2814 3 Postsecondary teachers 66 18 Female
## 62 2016 2833 50 Elementary and middle school teachers 27 18 Female
## 63 2016 2840 3 Secondary school teachers 52 16 Male
## 64 2018 19 40 Secondary school teachers 40 20 Female
## 65 2018 126 40 Secondary school teachers 48 18 Male
## 66 2018 239 NA Elementary and middle school teachers 65 18 Male
## 67 2018 299 37 Special education teachers 31 20 Female
## 68 2018 319 35 Special education teachers 34 20 Female
## 69 2018 367 40 Postsecondary teachers 70 16 Female
## 70 2018 388 40 Postsecondary teachers 29 20 Female
## 71 2018 454 55 Elementary and middle school teachers 33 16 Female
## 72 2018 477 42 Other teachers and instructors 40 18 Female
## 73 2018 635 40 Postsecondary teachers 62 18 Male
## 74 2018 641 NA Postsecondary teachers 53 16 Male
## 75 2018 682 NA Other teachers and instructors 71 15 Female
## 76 2018 683 37 Other teachers and instructors 58 16 Female
## 77 2018 720 40 Secondary school teachers 46 18 Male
## 78 2018 742 40 Other teachers and instructors 46 16 Male
## 79 2018 763 NA Other teachers and instructors 42 16 Female
## 80 2018 799 70 Other teachers and instructors 59 14 Female
## 81 2018 826 48 Elementary and middle school teachers 54 16 Female
## 82 2018 854 40 Elementary and middle school teachers 53 17 Female
## 83 2018 929 50 Elementary and middle school teachers 59 20 Female
## 84 2018 961 40 Elementary and middle school teachers 38 14 Male
## 85 2018 982 35 Postsecondary teachers 43 16 Female
## 86 2018 1008 NA Elementary and middle school teachers 37 16 Female
## 87 2018 1034 30 Other teachers and instructors 31 16 Female
## 88 2018 1038 40 Secondary school teachers 54 16 Male
## 89 2018 1111 50 Postsecondary teachers 57 12 Female
## 90 2018 1126 40 Special education teachers 29 16 Male
## 91 2018 1160 2 Secondary school teachers 64 16 Male
## 92 2018 1204 NA Secondary school teachers 34 16 Female
## 93 2018 1228 50 Postsecondary teachers 25 13 Female
## 94 2018 1290 20 Postsecondary teachers 73 15 Male
## 95 2018 1380 40 Elementary and middle school teachers 29 16 Female
## 96 2018 1400 40 Secondary school teachers 40 16 Male
## 97 2018 1438 40 Secondary school teachers 29 17 Female
## 98 2018 1454 NA Other teachers and instructors 48 18 Female
## 99 2018 1558 25 Postsecondary teachers 44 17 Female
## 100 2018 1570 15 Secondary school teachers 37 17 Male
## 101 2018 1694 NA Elementary and middle school teachers 57 18 Female
## 102 2018 1726 40 Postsecondary teachers 52 18 Male
## 103 2018 1761 40 Secondary school teachers 47 16 Female
## 104 2018 1788 20 Postsecondary teachers 33 16 Female
## 105 2018 1806 16 Postsecondary teachers 70 17 Female
## 106 2018 1832 40 Secondary school teachers 49 16 Female
## 107 2018 1860 36 Elementary and middle school teachers 28 18 Female
## 108 2018 1912 20 Secondary school teachers 35 20 Female
## 109 2018 1957 50 Secondary school teachers 49 17 Female
## 110 2018 2004 40 Elementary and middle school teachers 55 17 Female
## 111 2018 2026 NA Secondary school teachers 26 16 Female
## 112 2018 2042 40 Elementary and middle school teachers 53 20 Male
## 113 2018 2133 50 Elementary and middle school teachers 38 20 Female
## 114 2018 2207 50 Elementary and middle school teachers 33 20 Female
## 115 2018 2211 45 Secondary school teachers 50 20 Female
## 116 2018 2252 NA Elementary and middle school teachers 30 19 Female
## 117 2018 2261 40 Elementary and middle school teachers 24 16 Female
## 118 2018 2318 NA Postsecondary teachers 36 20 Female
## 119 2016 57 40 Preschool and kindergarten teachers 40 17 Female
## 120 2016 415 40 Preschool and kindergarten teachers 34 12 Female
## 121 2016 677 42 Special education teachers 27 16 Male
## 122 2016 732 NA Elementary and middle school teachers 37 14 Female
## 123 2016 1027 40 Preschool and kindergarten teachers 42 17 Female
## 124 2016 1672 3 Postsecondary teachers 67 16 Female
## 125 2016 2021 NA Elementary and middle school teachers 41 16 Female
## 126 2018 802 38 Preschool and kindergarten teachers 19 12 Female
## 127 2018 1278 NA Postsecondary teachers 30 20 Female
## 128 2018 1564 36 Secondary school teachers 61 19 Female
## 129 2018 1756 40 Preschool and kindergarten teachers 35 16 Female
## 130 2016 154 45 Secondary school teachers 61 18 Female
## 131 2016 494 NA Postsecondary teachers 32 20 Male
## 132 2016 1014 NA Elementary and middle school teachers 34 16 Female
## 133 2016 1124 NA Postsecondary teachers 23 17 Male
## 134 2016 1620 40 Special education teachers 53 16 Female
## 135 2016 1680 NA Postsecondary teachers 66 20 Male
## 136 2018 996 25 Other teachers and instructors 34 15 Female
## 137 2018 1745 NA Other teachers and instructors 63 16 Female
## 138 2016 356 32 Elementary and middle school teachers 62 19 Female
## 139 2016 751 40 Preschool and kindergarten teachers 38 14 Female
## 140 2016 1037 70 Other teachers and instructors 43 19 Male
## 141 2016 1177 NA Other teachers and instructors 67 17 Female
## 142 2016 1667 NA Postsecondary teachers 50 20 Female
## 143 2018 140 6 Secondary school teachers 25 15 Female
## 144 2018 870 NA Preschool and kindergarten teachers 29 15 Female
## 145 2018 2279 16 Other teachers and instructors 68 17 Female
## 146 2016 59 40 Postsecondary teachers 59 20 Female
## 147 2016 1779 20 Secondary school teachers 61 16 Female
## 148 2018 536 18 Postsecondary teachers 33 14 Female
## 149 2018 1709 NA Postsecondary teachers 28 19 Female
## 150 2018 2138 6 Postsecondary teachers 72 16 Female
## 151 2018 668 40 Elementary and middle school teachers 30 17 Female
## 152 2016 1379 30 Postsecondary teachers 31 17 Male
## 153 2018 158 30 Elementary and middle school teachers 20 14 Female
## 154 2018 426 18 Special education teachers 74 20 Female
## 155 2016 864 NA Preschool and kindergarten teachers 28 16 Female
## 156 2016 1394 NA Elementary and middle school teachers 57 20 Male
## 157 2016 378 NA Preschool and kindergarten teachers 29 16 Female
## 158 2016 2073 40 Postsecondary teachers 54 16 Female
## 159 2018 1715 NA Postsecondary teachers 24 17 Male
## 160 2018 2064 3 Other teachers and instructors 54 18 Female
## 161 2016 264 NA Preschool and kindergarten teachers 30 13 Female
## 162 2016 1116 5 Other teachers and instructors 69 16 Female
## 163 2016 1546 NA Elementary and middle school teachers 66 18 Male
## 164 2016 1715 40 Preschool and kindergarten teachers 41 16 Female
## 165 2016 1898 40 Other teachers and instructors 27 13 Male
## 166 2016 1464 27 Preschool and kindergarten teachers 31 11 Female
## 167 2018 1615 36 Postsecondary teachers 20 14 Female
## 168 2016 235 25 Secondary school teachers 23 16 Male
## 169 2016 257 40 Teacher assistants 30 16 Female
## 170 2016 963 NA Teacher assistants 46 12 Male
## 171 2016 2745 40 Teacher assistants 61 15 Female
## 172 2018 124 30 Teacher assistants 59 16 Female
## 173 2018 656 NA Teacher assistants 29 16 Female
## 174 2016 1147 60 Teacher assistants 49 17 Female
## 175 2016 2426 64 Teacher assistants 42 12 Male
## 176 2016 2845 40 Teacher assistants 24 14 Female
## 177 2018 1022 35 Teacher assistants 35 12 Female
## 178 2016 37 25 Teacher assistants 59 16 Male
## 179 2016 1470 26 Teacher assistants 63 14 Female
## 180 2016 1916 50 Teacher assistants 39 15 Female
## 181 2016 2489 31 Teacher assistants 31 14 Female
## 182 2016 2809 NA Teacher assistants 58 12 Female
## 183 2018 274 35 Teacher assistants 65 19 Female
## 184 2018 873 28 Teacher assistants 52 16 Female
## 185 2018 2111 45 Teacher assistants 34 14 Female
## 186 2016 2433 NA Teacher assistants 38 14 Female
## 187 2016 1247 21 Teacher assistants 19 13 Male
## 188 2016 1267 NA Teacher assistants 25 16 Female
## income income_recode educ_recode
## 1 $25000 or more 25000 4_Advanced
## 2 $25000 or more 25000 4_Advanced
## 3 $25000 or more 25000 3_Bachelors
## 4 $25000 or more 25000 4_Advanced
## 5 $25000 or more 25000 3_Bachelors
## 6 $25000 or more 25000 4_Advanced
## 7 $25000 or more 25000 4_Advanced
## 8 $25000 or more 25000 4_Advanced
## 9 $25000 or more 25000 3_Bachelors
## 10 $25000 or more 25000 4_Advanced
## 11 $25000 or more 25000 4_Advanced
## 12 $25000 or more 25000 3_Bachelors
## 13 $25000 or more 25000 4_Advanced
## 14 $25000 or more 25000 4_Advanced
## 15 $25000 or more 25000 4_Advanced
## 16 $25000 or more 25000 4_Advanced
## 17 $25000 or more 25000 4_Advanced
## 18 $25000 or more 25000 4_Advanced
## 19 $25000 or more 25000 3_Bachelors
## 20 $25000 or more 25000 3_Bachelors
## 21 $25000 or more 25000 3_Bachelors
## 22 $25000 or more 25000 3_Bachelors
## 23 $25000 or more 25000 4_Advanced
## 24 $25000 or more 25000 4_Advanced
## 25 $25000 or more 25000 4_Advanced
## 26 $25000 or more 25000 4_Advanced
## 27 $25000 or more 25000 4_Advanced
## 28 $25000 or more 25000 4_Advanced
## 29 $25000 or more 25000 3_Bachelors
## 30 $25000 or more 25000 3_Bachelors
## 31 $25000 or more 25000 3_Bachelors
## 32 $25000 or more 25000 4_Advanced
## 33 $25000 or more 25000 3_Bachelors
## 34 $25000 or more 25000 3_Bachelors
## 35 $25000 or more 25000 4_Advanced
## 36 $25000 or more 25000 4_Advanced
## 37 $25000 or more 25000 4_Advanced
## 38 $25000 or more 25000 4_Advanced
## 39 $25000 or more 25000 2_some_college
## 40 $25000 or more 25000 4_Advanced
## 41 $25000 or more 25000 3_Bachelors
## 42 $25000 or more 25000 4_Advanced
## 43 $25000 or more 25000 3_Bachelors
## 44 $25000 or more 25000 4_Advanced
## 45 $25000 or more 25000 3_Bachelors
## 46 $25000 or more 25000 4_Advanced
## 47 $25000 or more 25000 3_Bachelors
## 48 $25000 or more 25000 3_Bachelors
## 49 $25000 or more 25000 3_Bachelors
## 50 $25000 or more 25000 4_Advanced
## 51 $25000 or more 25000 4_Advanced
## 52 $25000 or more 25000 4_Advanced
## 53 $25000 or more 25000 4_Advanced
## 54 $25000 or more 25000 4_Advanced
## 55 $25000 or more 25000 4_Advanced
## 56 $25000 or more 25000 4_Advanced
## 57 $25000 or more 25000 4_Advanced
## 58 $25000 or more 25000 4_Advanced
## 59 $25000 or more 25000 4_Advanced
## 60 $25000 or more 25000 4_Advanced
## 61 $25000 or more 25000 4_Advanced
## 62 $25000 or more 25000 4_Advanced
## 63 $25000 or more 25000 3_Bachelors
## 64 $25000 or more 25000 4_Advanced
## 65 $25000 or more 25000 4_Advanced
## 66 $25000 or more 25000 4_Advanced
## 67 $25000 or more 25000 4_Advanced
## 68 $25000 or more 25000 4_Advanced
## 69 $25000 or more 25000 3_Bachelors
## 70 $25000 or more 25000 4_Advanced
## 71 $25000 or more 25000 3_Bachelors
## 72 $25000 or more 25000 4_Advanced
## 73 $25000 or more 25000 4_Advanced
## 74 $25000 or more 25000 3_Bachelors
## 75 $25000 or more 25000 2_some_college
## 76 $25000 or more 25000 3_Bachelors
## 77 $25000 or more 25000 4_Advanced
## 78 $25000 or more 25000 3_Bachelors
## 79 $25000 or more 25000 3_Bachelors
## 80 $25000 or more 25000 2_some_college
## 81 $25000 or more 25000 3_Bachelors
## 82 $25000 or more 25000 4_Advanced
## 83 $25000 or more 25000 4_Advanced
## 84 $25000 or more 25000 2_some_college
## 85 $25000 or more 25000 3_Bachelors
## 86 $25000 or more 25000 3_Bachelors
## 87 $25000 or more 25000 3_Bachelors
## 88 $25000 or more 25000 3_Bachelors
## 89 $25000 or more 25000 1_hs
## 90 $25000 or more 25000 3_Bachelors
## 91 $25000 or more 25000 3_Bachelors
## 92 $25000 or more 25000 3_Bachelors
## 93 $25000 or more 25000 2_some_college
## 94 $25000 or more 25000 2_some_college
## 95 $25000 or more 25000 3_Bachelors
## 96 $25000 or more 25000 3_Bachelors
## 97 $25000 or more 25000 4_Advanced
## 98 $25000 or more 25000 4_Advanced
## 99 $25000 or more 25000 4_Advanced
## 100 $25000 or more 25000 4_Advanced
## 101 $25000 or more 25000 4_Advanced
## 102 $25000 or more 25000 4_Advanced
## 103 $25000 or more 25000 3_Bachelors
## 104 $25000 or more 25000 3_Bachelors
## 105 $25000 or more 25000 4_Advanced
## 106 $25000 or more 25000 3_Bachelors
## 107 $25000 or more 25000 4_Advanced
## 108 $25000 or more 25000 4_Advanced
## 109 $25000 or more 25000 4_Advanced
## 110 $25000 or more 25000 4_Advanced
## 111 $25000 or more 25000 3_Bachelors
## 112 $25000 or more 25000 4_Advanced
## 113 $25000 or more 25000 4_Advanced
## 114 $25000 or more 25000 4_Advanced
## 115 $25000 or more 25000 4_Advanced
## 116 $25000 or more 25000 4_Advanced
## 117 $25000 or more 25000 3_Bachelors
## 118 $25000 or more 25000 4_Advanced
## 119 $20000 - 24999 22500 4_Advanced
## 120 $20000 - 24999 22500 1_hs
## 121 $20000 - 24999 22500 3_Bachelors
## 122 $20000 - 24999 22500 2_some_college
## 123 $20000 - 24999 22500 4_Advanced
## 124 $20000 - 24999 22500 3_Bachelors
## 125 $20000 - 24999 22500 3_Bachelors
## 126 $20000 - 24999 22500 1_hs
## 127 $20000 - 24999 22500 4_Advanced
## 128 $20000 - 24999 22500 4_Advanced
## 129 $20000 - 24999 22500 3_Bachelors
## 130 $15000 - 19999 17500 4_Advanced
## 131 $15000 - 19999 17500 4_Advanced
## 132 $15000 - 19999 17500 3_Bachelors
## 133 $15000 - 19999 17500 4_Advanced
## 134 $15000 - 19999 17500 3_Bachelors
## 135 $15000 - 19999 17500 4_Advanced
## 136 $15000 - 19999 17500 2_some_college
## 137 $15000 - 19999 17500 3_Bachelors
## 138 $10000 - 14999 12500 4_Advanced
## 139 $10000 - 14999 12500 2_some_college
## 140 $10000 - 14999 12500 4_Advanced
## 141 $10000 - 14999 12500 4_Advanced
## 142 $10000 - 14999 12500 4_Advanced
## 143 $10000 - 14999 12500 2_some_college
## 144 $10000 - 14999 12500 2_some_college
## 145 $10000 - 14999 12500 4_Advanced
## 146 $8000 to 9999 9000 4_Advanced
## 147 $8000 to 9999 9000 3_Bachelors
## 148 $8000 to 9999 9000 2_some_college
## 149 $8000 to 9999 9000 4_Advanced
## 150 $8000 to 9999 9000 3_Bachelors
## 151 $7000 to 7999 7500 4_Advanced
## 152 $6000 to 6999 6500 4_Advanced
## 153 $6000 to 6999 6500 2_some_college
## 154 $6000 to 6999 6500 4_Advanced
## 155 $5000 to 5999 5500 3_Bachelors
## 156 $5000 to 5999 5500 4_Advanced
## 157 $4000 to 4999 4500 3_Bachelors
## 158 $4000 to 4999 4500 3_Bachelors
## 159 $4000 to 4999 4500 4_Advanced
## 160 $4000 to 4999 4500 4_Advanced
## 161 $3000 to 3999 3500 2_some_college
## 162 $3000 to 3999 3500 3_Bachelors
## 163 $3000 to 3999 3500 4_Advanced
## 164 $3000 to 3999 3500 3_Bachelors
## 165 $3000 to 3999 3500 2_some_college
## 166 $1000 to 2999 1500 0_no_1_hs
## 167 $1000 to 2999 1500 2_some_college
## 168 Lt $1000 500 3_Bachelors
## 169 $25000 or more 25000 3_Bachelors
## 170 $25000 or more 25000 1_hs
## 171 $25000 or more 25000 2_some_college
## 172 $25000 or more 25000 3_Bachelors
## 173 $25000 or more 25000 3_Bachelors
## 174 $20000 - 24999 22500 4_Advanced
## 175 $20000 - 24999 22500 1_hs
## 176 $20000 - 24999 22500 2_some_college
## 177 $20000 - 24999 22500 1_hs
## 178 $15000 - 19999 17500 3_Bachelors
## 179 $15000 - 19999 17500 2_some_college
## 180 $15000 - 19999 17500 2_some_college
## 181 $10000 - 14999 12500 2_some_college
## 182 $10000 - 14999 12500 1_hs
## 183 $10000 - 14999 12500 4_Advanced
## 184 $10000 - 14999 12500 3_Bachelors
## 185 $10000 - 14999 12500 2_some_college
## 186 $7000 to 7999 7500 2_some_college
## 187 $6000 to 6999 6500 2_some_college
## 188 $5000 to 5999 5500 3_Bachelors
a4 = subset(a3, sex == 'Male')%>%group_by(educ_recode)%>% summarize(tot_pay = mean(income_recode), median = median(income_recode), count = n())
a5 = subset(a3,sex == 'Female')%>%group_by(educ_recode)%>%summarize(tot_pay = mean(income_recode), median = median(income_recode), count = n())
a4
## # A tibble: 4 x 4
## educ_recode tot_pay median count
## <chr> <dbl> <dbl> <int>
## 1 1_hs 23750 23750 2
## 2 2_some_college 15000 15750 4
## 3 3_Bachelors 22844. 25000 16
## 4 4_Advanced 20741. 25000 27
a5
## # A tibble: 5 x 4
## educ_recode tot_pay median count
## <chr> <dbl> <dbl> <int>
## 1 0_no_1_hs 1500 1500 1
## 2 1_hs 21000 22500 5
## 3 2_some_college 15650 15000 20
## 4 3_Bachelors 20707. 25000 46
## 5 4_Advanced 22448. 25000 67
ggplot(a4, aes(educ_recode, tot_pay)) +
geom_point(varwidth = TRUE)+ xlab("Education Level") +
ylab("Income measure") +
ggtitle(" Male income in educational area")
## Warning: Ignoring unknown parameters: varwidth
ggplot(a5, aes(educ_recode, tot_pay)) +
geom_point(varwidth = TRUE)+xlab("Education Level") +
ylab("Income measure") +
ggtitle(" Female income in educational area")
## Warning: Ignoring unknown parameters: varwidth