diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..5b6a065 --- /dev/null +++ b/.gitignore @@ -0,0 +1,4 @@ +.Rproj.user +.Rhistory +.RData +.Ruserdata diff --git a/R_Basics.R b/R_Basics.R new file mode 100644 index 0000000..b66087d --- /dev/null +++ b/R_Basics.R @@ -0,0 +1,509 @@ +# ========== +# = Basics = +# ========== + +# Mathematical operations +# Parentheses: () +# Exponent: ^ or ** +# Multiply: * +# Divide: / +# Addition: + +# Subtraction: - +# R follows PEMDAS order of oprations + +# Assignment operator: <- +# variable <- value to be assigned (order matters!) + +x <- 1/40 # Assign x to the value of 0.025 +x <- x + 1 # Increment x + +# =========== +# = Vectors = +# =========== + +1:5 # will print 1 2 3 4 5 + +# Can assign vector to variable +var <- 1:5 + +# Can use vectors to loop or create functions +2^(1:5) # will print 2 4 8 16 32 +2^var # will also print 2 4 8 16 32 + +# Can use 2 vectors at the same time +y <- 1:4 +z <- 5:8 +y + z # will print 6 8 10 12 + +# ====================== +# = Variable Managment = +# ====================== + +# ls() lists variables being used +ls() + +# rm() removes a variable from the environment +# rm("variable_name") works the same as rm(variable_name) +x2 <- x +rm(x) +rm("x2") + +# One option for rm is list +# List will remove all variables in that list +# rm(list = ls()) will remove all current variables +# rm(list = c("var1", "var2", "var3")) will remove var1, var2, var3 + +# ====================== +# = Package Management = +# ====================== + +# To find out what packages you have installed, use +# installed.packages() +installed.packages() + +# To install a package, use +# install.packages("package_name") +# Each package will only need to be installed on your computer once + +install.packages("ggplot2") +install.packages("dplyr") +install.packages("gapminder") + +# To update a package, use +# update.packages("package_name") + +# To load a package, use +# library("package_name") +# Packages will need to be loaded in each script + +library("ggplot2") +library("dplyr") +library("gapminder") + +# ================ +# = Getting Help = +# ================ + +# To get more info about a function, use +# ?function_name +# or +# help(function_name) + +?log +help(exp) + +# If you don't know the exact name of the function, use +# ??function_name_ish + +??read.tab # returns information for functions + # readr::read_table + # base::base-defunct + # utils::read.table <= yay! + +# You can use ? operator to get information about +# operators as well + +?"<-" # returns info about the assignment operator + +# To get information about a package, use +# vignette("package_name") +# using vignette() will show lottttttts of info + +vignette("dplyr") # shows info about the dplyr package + +# =================== +# = Data Structures = +# =================== + +# Cats Data Frame Example +# Note: c() is for combine + +cats <- data.frame(coat = c("calico", "black", "tabby"), + weight = c(2.1, 5.0, 3.4), + likes_string = c(1, 0, 1)) +cats # will show data frame table + +# View prettier table by double-clicking "cats" in +# environment panel or use +# View(data_frame_name) + +View(cats) + +# =============================== +# = Reading and Writing to File = +# =============================== + +# To output cat data to a .csv file, use +# write.csv() + +write.csv(cats, "data/meow.csv") + +# To read this back, use +# read.csv() + +felines <- read.csv("data/meow.csv") + +# Note that read.csv() creates a new variable based on +# row numbers in the data. + +# Based on the above, our cats data and our felines data +# has the same information, but cats has 3 variables +# and felines has 4 variables (3 + row numbers) + +# To print a row of data, use +# data_frame_name$row_name + +cats$weight # displays weight row of data as a vector +felines$coat # displays coat row of data as a vector + +# Can perform operations on data in the data frame +# Example: Convert weight from kg to lbs +cats$weight <- cats$weight * 2.2 + +# ============== +# = Data Types = +# ============== + +# To see the data type of a variable, use +# class(variable_name) + +class(cats$coat) # will display "factor" +class(cats$weight) # will display "numeric" +class(cats) # will display "data.frame" + +# To see the data, data type within a data frame, use +# structure function: +# str(variable_name) + +str(cats) + +# ================ +# = More Vectors = +# ================ + +num_vector <- c(1, 3, 5) +chr_vector <- c("a", "b", "c") +chr_vector2 <- c("d", "e", "f") + +# combining vectors of characters creates a longer +# character vector + +comb_vector <- c(chr_vector, chr_vector2) + +# combining vectors of numbers adds the numbers together + +num_vector2 <- c(100, 10, 20) +num_vector + num_vector2 # will display (101, 13, 25) + +# creating numerical vectors +# can use : and seq() + +my_series <- 1:10 +my_series2 <- seq(10) + +# seq() can have a different step, or spacing, between +# elements +new_step <- seq(from = 1, to = 10, by = 0.1) + +# can name each item in a vector +named_vector <- 5:8 # original vector +naming_vector <- c("a", "b", "c", "d") # vector of names +names(named_vector) <- naming_vector # combining them +named_vector # display! + +# When adding number vectors of different lengths, +# the shorter vector repeats itself until it is as long +# as the longer vector, and then they add. +long_num_vector <- 0:9 +short_num_vector <- 0:1 +long_num_vector + short_num_vector + +# something different happens when naming +# after the end of the naming vector, names are blank +larger_than_alphabet <- 1:30 +names(larger_than_alphabet) <- LETTERS +larger_than_alphabet + +# ============= +# = Real Data = +# ============= + +# load it from csv +gapminder <- read.csv("data/gapminder_data.csv") + +# alternative way to load the data +library(gapminder) # load the package +data("gapminder") # load data frame called "gapminder" +attach(gapminder) # copy gapminder into our environment + +# learn about data +str(gapminder) # types of data in the data frame +nrow(gapminder) # number of rows of data +ncol(gapminder) # number of columns of data +dim(gapminder) # alternative way to see dimensions + # of frame: nrow ncol +colnames(gapminder) # names of columns; variable names + +# ================ +# = Data Subsets = +# ================ + +x <- c(5.4, 6.2, 7.1, 4.8, 7.5) +names(x) <- letters[1:5] # Using [] selects part of a variable or data frame +x + +x[1] # returns first value of x (a 5.4) +x[3] # returns third value of x (c 7.1) +x[c(1, 3)] # returns first and third value of x + # (a 5.4 c 7.1) +x[1:4] # returns all values of x from 1 to 4 + # (a 5.4 b 6.2 c 7.1 d 4.8) +x[6] # returns nothing; no sixth value +x[-2] # returns all of x except second element +x[-(2:4)] # returns all of x except element 2-4 + +# head shows the first 6 rows of the table and variables +# can change to a different number of rows if necessary +head(gapminder) # shows +head(gapminder["pop"]) # shows first 6 populations +head(gapminder[,5]) # shows first 6 rows of 5th col + +# First element of square braces determine rows [rows, columns] +gapminder[3,] # show all columns of the third row + +# Show the life expectancy on line 138 +gapminder[138,"lifeExp"] + +# Show first six rows of the double type columns +head(gapminder[c(4, 6)]) +gapminder[1:6, c(4, 6)] +gapminder[1:6, c("lifeExp", "gdpPercap")] + +# Subset into a country +albania <- gapminder[13:24, 1:6] + +# Exercise: +# Find a subset for Afghanistan +# Add a new column to that subset for GDP +# Calculate GDP by multiplying population by GDP Per Capita +# Save new subset into a .csv file in your data folder +afghanistan <- gapminder[1:12, ] +afghanistan$gdp <- afghanistan$gdpPercap * afghanistan$pop +View(afghanistan) # Check out what we've done to confirm +write.csv(afghanistan,"data/results.csv") + +# ========= +# = Plots = +# ========= + +# Plot Prep - making sure your data is present in your environment +library(ggplot2) +library(dplyr) +install.packages("tidyr") +library(tidyr) +install.packages("knitr") +library(knitr) +gapminder <- read.csv("data/gapminder_data.csv") +head(gapminder) + +# Troubleshooting +getwd() # find current working directory +setwd("./data/") # change working directory to where your data is + # Note that "./data/" is a relative path, so your setwd() path + # may be different based on your current working directory + +# Plot command +# Set data to your data frame +# Second factor - aes is for aesthetics +# geom_point() adds your data to the plot in the form of scatterplot +# geom_line() adds data to the plot in the form of a line graph + +ggplot(data = gapminder, + aes(x = gdpPercap, # set x axis + y = lifeExp, # set y axis + color = continent, # set color by continent data + by = country # set line by country + )) + geom_line() # display data in a line graph + + geom_point() # add another layer - scatterplot + +# Layering plots +# Layers one on top of another, same aesthetics + +ggplot(data = gapminder, aes(x = gdpPercap, y = lifeExp, color = continent, + by = country)) + geom_line() + geom_point() + +# aes, color specific to different plots is possible + +ggplot(data = gapminder, aes(x = gdpPercap, y = lifeExp, by = country)) + + geom_line(aes(color = continent)) + geom_point(color = "blue") + +# Change to logarithmic scale by adding a scale_x_log10() function +# Alpha changes the points' transparency, which helps when points land on top +# of each other +# Alpha scale: 1.0 is solid; 0.0 is completely transparent / invisible + +ggplot(data = gapminder, + aes(x = gdpPercap, y = lifeExp, color = continent, by = country)) + + geom_point(alpha = 0.5) + + scale_x_log10() + +# Add a regression line using geom_smooth() +# lm = linear model +# gray lines around the regression shows a confidence interval + +ggplot(data = gapminder, + aes(x = gdpPercap, y = lifeExp, color = continent)) + + geom_point(alpha = 0.5, aes(shape = continent)) + + scale_x_log10() + + geom_smooth(method = "lm") + +# Remove a legend by doing show.legend = FALSE at the layer you're +# most interested in + +ggplot(data = gapminder, + aes(x = gdpPercap, y = lifeExp, color = continent)) + + geom_point(alpha = 0.5, aes(shape = continent), show.legend = FALSE) + + scale_x_log10() + + geom_smooth(method = "lm") + +# turn a legend off completely in theme + + +# clean up for publication +# add scale_y_continuous() with options for y scale that allow you to change +# to percent and change the intervals +# add theme_bw() to remove background color +# add ggtitle() to add a title +# add xlab() to add a label to the x axis +# add ylab() to add a label to the y axis + +ggplot(data = gapminder, + aes(x = gdpPercap, y = lifeExp, color = continent)) + + geom_point(aes(shape = continent), size = 2, alpha = 0.25) + + scale_x_log10() + + geom_smooth(method = "lm") + + scale_y_continuous(limits = c(0,100), breaks = seq(0, 100, by = 10)) + + theme_bw() + + ggtitle("Interaction of GDP Per Capita and Life Expectancy") + + xlab("GDP Per Capita ($)") + + ylab("Life Expectancy (Years)") + +# Export the plot +ggsave(file = "life_expectancy.png") +ggsave(file = "life_expectancy.pdf") + +# Troubleshooting the images + +ggsave(file = "life_exp.png", width = 20, height = 15, units = "cm") + +# Boxplot example + +ggplot(data=gapminder, aes(x = continent, y = lifeExp)) + geom_boxplot() + + geom_jitter(alpha = 0.5, color = "tomato") + +# ================ +# = Conditionals = +# ================ + +# If / Else Statements + +number <- 37 +if (number > 100) { + print("ERMAGERD bigger than 100!") +} else { + print("Not so big") +} + +# Comparison +# Greater than: > +# Greater than or equal to: >= +# Equal to: == +# Less than: < +# Less than or equal to: <= +# Not equal to: != + +# If / Else If / Else Chains +# Else is a good catch-all or default statment + +number <- 37 +if (number > 0) { + print(1) +} else if (number < 0) { + print(-1) +} else { + print(0) +} + +# Loops +# Each of the first two loops print the numbers 1-10 + +numbers <- 1:10 +for (number in numbers) { + print(number) +} + +for (i in 1:10) { + print(i) +} + +for (i in letters) { + print(i) +} + +# sum +sum <- 0 +vector <- c(4, 8, 15, 16, 23, 42) +for (i in vector) { + sum -> sum + i +} +print(sum) + +# ===================== +# = Writing Functions = +# ===================== + +# Reading R's Functions +# Call a function without arguments and it will display +# the function's source code + +nrow # displays source code for nrow + +# Function format +# name_of_function <- function(variables_function_needs) { +# function_here +# return(data_to_return) +# } + +# Example +fahr_to_kelvin <- function(f_temp){ + kelvin <- ((f_temp - 32) * (5 / 9)) + 273.15 + return(kelvin) +} + +# Make sure to call your function after you define it +# Otherwise, R won't know what your function does +# If it's not in your Environment list with your variables, +# R doesn't know it exists + +# Boiling point +fahr_to_kelvin(212) # returns 373.15, the boiling point in kelvin + +cel2fahr <- function(cel) { + fahr <- (cel * 9 / 5) + 32 + return(fahr) +} + +cel2fahr(70) + +# ================= +# = Markdown in R = +# ================= + +install.packages(c("rmarkdown", "formatR")) +library(dplyr) +library(gapminder) +library(tidyr) +library(knitr) +library(rmarkdown) +library(formatR) + diff --git a/R_Markdown.Rmd b/R_Markdown.Rmd new file mode 100644 index 0000000..939c03a --- /dev/null +++ b/R_Markdown.Rmd @@ -0,0 +1,20 @@ +--- +title: "R Notebook" +output: + html_document: + df_print: paged +--- + +This is an [R Markdown](http://rmarkdown.rstudio.com) Notebook. When you execute code within the notebook, the results appear beneath the code. + +Try executing this chunk by clicking the *Run* button within the chunk or by placing your cursor inside it and pressing *Ctrl+Shift+Enter*. + +```{r} +plot(cars) +``` + +Add a new chunk by clicking the *Insert Chunk* button on the toolbar or by pressing *Ctrl+Alt+I*. + +When you save the notebook, an HTML file containing the code and output will be saved alongside it (click the *Preview* button or press *Ctrl+Shift+K* to preview the HTML file). + +The preview shows you a rendered HTML copy of the contents of the editor. Consequently, unlike *Knit*, *Preview* does not run any R code chunks. Instead, the output of the chunk when it was last run in the editor is displayed. diff --git a/R_Markdown.html b/R_Markdown.html new file mode 100644 index 0000000..5dacd61 --- /dev/null +++ b/R_Markdown.html @@ -0,0 +1,230 @@ + + + + + + + + + + + + + +R Notebook + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + + + + +

This is an R Markdown Notebook. When you execute code within the notebook, the results appear beneath the code.

+

Try executing this chunk by clicking the Run button within the chunk or by placing your cursor inside it and pressing Ctrl+Shift+Enter.

+
plot(cars)
+

+

Add a new chunk by clicking the Insert Chunk button on the toolbar or by pressing Ctrl+Alt+I.

+

When you save the notebook, an HTML file containing the code and output will be saved alongside it (click the Preview button or press Ctrl+Shift+K to preview the HTML file).

+

The preview shows you a rendered HTML copy of the contents of the editor. Consequently, unlike Knit, Preview does not run any R code chunks. Instead, the output of the chunk when it was last run in the editor is displayed.

+ + + + +
+ + + + + + + + diff --git a/R_Markdown.nb.html b/R_Markdown.nb.html new file mode 100644 index 0000000..e9d5469 --- /dev/null +++ b/R_Markdown.nb.html @@ -0,0 +1,300 @@ + + + + + + + + + + + + + +R Notebook + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + + + + + + + +

This is an R Markdown Notebook. When you execute code within the notebook, the results appear beneath the code.

+

Try executing this chunk by clicking the Run button within the chunk or by placing your cursor inside it and pressing Ctrl+Shift+Enter.

+ + + +
plot(cars)
+ + +

+ + + +

Add a new chunk by clicking the Insert Chunk button on the toolbar or by pressing Ctrl+Alt+I.

+

When you save the notebook, an HTML file containing the code and output will be saved alongside it (click the Preview button or press Ctrl+Shift+K to preview the HTML file).

+

The preview shows you a rendered HTML copy of the contents of the editor. Consequently, unlike Knit, Preview does not run any R code chunks. Instead, the output of the chunk when it was last run in the editor is displayed.

+ + +
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
+ + + +
+ + + + + + + + diff --git a/SWCarpentryWorkshop.Rproj b/SWCarpentryWorkshop.Rproj new file mode 100644 index 0000000..8e3c2eb --- /dev/null +++ b/SWCarpentryWorkshop.Rproj @@ -0,0 +1,13 @@ +Version: 1.0 + +RestoreWorkspace: Default +SaveWorkspace: Default +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: pdfLaTeX diff --git a/data/gapminder_data.csv b/data/gapminder_data.csv new file mode 100644 index 0000000..661ddef --- /dev/null +++ b/data/gapminder_data.csv @@ -0,0 +1,1705 @@ +country,year,pop,continent,lifeExp,gdpPercap +Afghanistan,1952,8425333,Asia,28.801,779.4453145 +Afghanistan,1957,9240934,Asia,30.332,820.8530296 +Afghanistan,1962,10267083,Asia,31.997,853.10071 +Afghanistan,1967,11537966,Asia,34.02,836.1971382 +Afghanistan,1972,13079460,Asia,36.088,739.9811058 +Afghanistan,1977,14880372,Asia,38.438,786.11336 +Afghanistan,1982,12881816,Asia,39.854,978.0114388 +Afghanistan,1987,13867957,Asia,40.822,852.3959448 +Afghanistan,1992,16317921,Asia,41.674,649.3413952 +Afghanistan,1997,22227415,Asia,41.763,635.341351 +Afghanistan,2002,25268405,Asia,42.129,726.7340548 +Afghanistan,2007,31889923,Asia,43.828,974.5803384 +Albania,1952,1282697,Europe,55.23,1601.056136 +Albania,1957,1476505,Europe,59.28,1942.284244 +Albania,1962,1728137,Europe,64.82,2312.888958 +Albania,1967,1984060,Europe,66.22,2760.196931 +Albania,1972,2263554,Europe,67.69,3313.422188 +Albania,1977,2509048,Europe,68.93,3533.00391 +Albania,1982,2780097,Europe,70.42,3630.880722 +Albania,1987,3075321,Europe,72,3738.932735 +Albania,1992,3326498,Europe,71.581,2497.437901 +Albania,1997,3428038,Europe,72.95,3193.054604 +Albania,2002,3508512,Europe,75.651,4604.211737 +Albania,2007,3600523,Europe,76.423,5937.029526 +Algeria,1952,9279525,Africa,43.077,2449.008185 +Algeria,1957,10270856,Africa,45.685,3013.976023 +Algeria,1962,11000948,Africa,48.303,2550.81688 +Algeria,1967,12760499,Africa,51.407,3246.991771 +Algeria,1972,14760787,Africa,54.518,4182.663766 +Algeria,1977,17152804,Africa,58.014,4910.416756 +Algeria,1982,20033753,Africa,61.368,5745.160213 +Algeria,1987,23254956,Africa,65.799,5681.358539 +Algeria,1992,26298373,Africa,67.744,5023.216647 +Algeria,1997,29072015,Africa,69.152,4797.295051 +Algeria,2002,31287142,Africa,70.994,5288.040382 +Algeria,2007,33333216,Africa,72.301,6223.367465 +Angola,1952,4232095,Africa,30.015,3520.610273 +Angola,1957,4561361,Africa,31.999,3827.940465 +Angola,1962,4826015,Africa,34,4269.276742 +Angola,1967,5247469,Africa,35.985,5522.776375 +Angola,1972,5894858,Africa,37.928,5473.288005 +Angola,1977,6162675,Africa,39.483,3008.647355 +Angola,1982,7016384,Africa,39.942,2756.953672 +Angola,1987,7874230,Africa,39.906,2430.208311 +Angola,1992,8735988,Africa,40.647,2627.845685 +Angola,1997,9875024,Africa,40.963,2277.140884 +Angola,2002,10866106,Africa,41.003,2773.287312 +Angola,2007,12420476,Africa,42.731,4797.231267 +Argentina,1952,17876956,Americas,62.485,5911.315053 +Argentina,1957,19610538,Americas,64.399,6856.856212 +Argentina,1962,21283783,Americas,65.142,7133.166023 +Argentina,1967,22934225,Americas,65.634,8052.953021 +Argentina,1972,24779799,Americas,67.065,9443.038526 +Argentina,1977,26983828,Americas,68.481,10079.02674 +Argentina,1982,29341374,Americas,69.942,8997.897412 +Argentina,1987,31620918,Americas,70.774,9139.671389 +Argentina,1992,33958947,Americas,71.868,9308.41871 +Argentina,1997,36203463,Americas,73.275,10967.28195 +Argentina,2002,38331121,Americas,74.34,8797.640716 +Argentina,2007,40301927,Americas,75.32,12779.37964 +Australia,1952,8691212,Oceania,69.12,10039.59564 +Australia,1957,9712569,Oceania,70.33,10949.64959 +Australia,1962,10794968,Oceania,70.93,12217.22686 +Australia,1967,11872264,Oceania,71.1,14526.12465 +Australia,1972,13177000,Oceania,71.93,16788.62948 +Australia,1977,14074100,Oceania,73.49,18334.19751 +Australia,1982,15184200,Oceania,74.74,19477.00928 +Australia,1987,16257249,Oceania,76.32,21888.88903 +Australia,1992,17481977,Oceania,77.56,23424.76683 +Australia,1997,18565243,Oceania,78.83,26997.93657 +Australia,2002,19546792,Oceania,80.37,30687.75473 +Australia,2007,20434176,Oceania,81.235,34435.36744 +Austria,1952,6927772,Europe,66.8,6137.076492 +Austria,1957,6965860,Europe,67.48,8842.59803 +Austria,1962,7129864,Europe,69.54,10750.72111 +Austria,1967,7376998,Europe,70.14,12834.6024 +Austria,1972,7544201,Europe,70.63,16661.6256 +Austria,1977,7568430,Europe,72.17,19749.4223 +Austria,1982,7574613,Europe,73.18,21597.08362 +Austria,1987,7578903,Europe,74.94,23687.82607 +Austria,1992,7914969,Europe,76.04,27042.01868 +Austria,1997,8069876,Europe,77.51,29095.92066 +Austria,2002,8148312,Europe,78.98,32417.60769 +Austria,2007,8199783,Europe,79.829,36126.4927 +Bahrain,1952,120447,Asia,50.939,9867.084765 +Bahrain,1957,138655,Asia,53.832,11635.79945 +Bahrain,1962,171863,Asia,56.923,12753.27514 +Bahrain,1967,202182,Asia,59.923,14804.6727 +Bahrain,1972,230800,Asia,63.3,18268.65839 +Bahrain,1977,297410,Asia,65.593,19340.10196 +Bahrain,1982,377967,Asia,69.052,19211.14731 +Bahrain,1987,454612,Asia,70.75,18524.02406 +Bahrain,1992,529491,Asia,72.601,19035.57917 +Bahrain,1997,598561,Asia,73.925,20292.01679 +Bahrain,2002,656397,Asia,74.795,23403.55927 +Bahrain,2007,708573,Asia,75.635,29796.04834 +Bangladesh,1952,46886859,Asia,37.484,684.2441716 +Bangladesh,1957,51365468,Asia,39.348,661.6374577 +Bangladesh,1962,56839289,Asia,41.216,686.3415538 +Bangladesh,1967,62821884,Asia,43.453,721.1860862 +Bangladesh,1972,70759295,Asia,45.252,630.2336265 +Bangladesh,1977,80428306,Asia,46.923,659.8772322 +Bangladesh,1982,93074406,Asia,50.009,676.9818656 +Bangladesh,1987,103764241,Asia,52.819,751.9794035 +Bangladesh,1992,113704579,Asia,56.018,837.8101643 +Bangladesh,1997,123315288,Asia,59.412,972.7700352 +Bangladesh,2002,135656790,Asia,62.013,1136.39043 +Bangladesh,2007,150448339,Asia,64.062,1391.253792 +Belgium,1952,8730405,Europe,68,8343.105127 +Belgium,1957,8989111,Europe,69.24,9714.960623 +Belgium,1962,9218400,Europe,70.25,10991.20676 +Belgium,1967,9556500,Europe,70.94,13149.04119 +Belgium,1972,9709100,Europe,71.44,16672.14356 +Belgium,1977,9821800,Europe,72.8,19117.97448 +Belgium,1982,9856303,Europe,73.93,20979.84589 +Belgium,1987,9870200,Europe,75.35,22525.56308 +Belgium,1992,10045622,Europe,76.46,25575.57069 +Belgium,1997,10199787,Europe,77.53,27561.19663 +Belgium,2002,10311970,Europe,78.32,30485.88375 +Belgium,2007,10392226,Europe,79.441,33692.60508 +Benin,1952,1738315,Africa,38.223,1062.7522 +Benin,1957,1925173,Africa,40.358,959.6010805 +Benin,1962,2151895,Africa,42.618,949.4990641 +Benin,1967,2427334,Africa,44.885,1035.831411 +Benin,1972,2761407,Africa,47.014,1085.796879 +Benin,1977,3168267,Africa,49.19,1029.161251 +Benin,1982,3641603,Africa,50.904,1277.897616 +Benin,1987,4243788,Africa,52.337,1225.85601 +Benin,1992,4981671,Africa,53.919,1191.207681 +Benin,1997,6066080,Africa,54.777,1232.975292 +Benin,2002,7026113,Africa,54.406,1372.877931 +Benin,2007,8078314,Africa,56.728,1441.284873 +Bolivia,1952,2883315,Americas,40.414,2677.326347 +Bolivia,1957,3211738,Americas,41.89,2127.686326 +Bolivia,1962,3593918,Americas,43.428,2180.972546 +Bolivia,1967,4040665,Americas,45.032,2586.886053 +Bolivia,1972,4565872,Americas,46.714,2980.331339 +Bolivia,1977,5079716,Americas,50.023,3548.097832 +Bolivia,1982,5642224,Americas,53.859,3156.510452 +Bolivia,1987,6156369,Americas,57.251,2753.69149 +Bolivia,1992,6893451,Americas,59.957,2961.699694 +Bolivia,1997,7693188,Americas,62.05,3326.143191 +Bolivia,2002,8445134,Americas,63.883,3413.26269 +Bolivia,2007,9119152,Americas,65.554,3822.137084 +Bosnia and Herzegovina,1952,2791000,Europe,53.82,973.5331948 +Bosnia and Herzegovina,1957,3076000,Europe,58.45,1353.989176 +Bosnia and Herzegovina,1962,3349000,Europe,61.93,1709.683679 +Bosnia and Herzegovina,1967,3585000,Europe,64.79,2172.352423 +Bosnia and Herzegovina,1972,3819000,Europe,67.45,2860.16975 +Bosnia and Herzegovina,1977,4086000,Europe,69.86,3528.481305 +Bosnia and Herzegovina,1982,4172693,Europe,70.69,4126.613157 +Bosnia and Herzegovina,1987,4338977,Europe,71.14,4314.114757 +Bosnia and Herzegovina,1992,4256013,Europe,72.178,2546.781445 +Bosnia and Herzegovina,1997,3607000,Europe,73.244,4766.355904 +Bosnia and Herzegovina,2002,4165416,Europe,74.09,6018.975239 +Bosnia and Herzegovina,2007,4552198,Europe,74.852,7446.298803 +Botswana,1952,442308,Africa,47.622,851.2411407 +Botswana,1957,474639,Africa,49.618,918.2325349 +Botswana,1962,512764,Africa,51.52,983.6539764 +Botswana,1967,553541,Africa,53.298,1214.709294 +Botswana,1972,619351,Africa,56.024,2263.611114 +Botswana,1977,781472,Africa,59.319,3214.857818 +Botswana,1982,970347,Africa,61.484,4551.14215 +Botswana,1987,1151184,Africa,63.622,6205.88385 +Botswana,1992,1342614,Africa,62.745,7954.111645 +Botswana,1997,1536536,Africa,52.556,8647.142313 +Botswana,2002,1630347,Africa,46.634,11003.60508 +Botswana,2007,1639131,Africa,50.728,12569.85177 +Brazil,1952,56602560,Americas,50.917,2108.944355 +Brazil,1957,65551171,Americas,53.285,2487.365989 +Brazil,1962,76039390,Americas,55.665,3336.585802 +Brazil,1967,88049823,Americas,57.632,3429.864357 +Brazil,1972,100840058,Americas,59.504,4985.711467 +Brazil,1977,114313951,Americas,61.489,6660.118654 +Brazil,1982,128962939,Americas,63.336,7030.835878 +Brazil,1987,142938076,Americas,65.205,7807.095818 +Brazil,1992,155975974,Americas,67.057,6950.283021 +Brazil,1997,168546719,Americas,69.388,7957.980824 +Brazil,2002,179914212,Americas,71.006,8131.212843 +Brazil,2007,190010647,Americas,72.39,9065.800825 +Bulgaria,1952,7274900,Europe,59.6,2444.286648 +Bulgaria,1957,7651254,Europe,66.61,3008.670727 +Bulgaria,1962,8012946,Europe,69.51,4254.337839 +Bulgaria,1967,8310226,Europe,70.42,5577.0028 +Bulgaria,1972,8576200,Europe,70.9,6597.494398 +Bulgaria,1977,8797022,Europe,70.81,7612.240438 +Bulgaria,1982,8892098,Europe,71.08,8224.191647 +Bulgaria,1987,8971958,Europe,71.34,8239.854824 +Bulgaria,1992,8658506,Europe,71.19,6302.623438 +Bulgaria,1997,8066057,Europe,70.32,5970.38876 +Bulgaria,2002,7661799,Europe,72.14,7696.777725 +Bulgaria,2007,7322858,Europe,73.005,10680.79282 +Burkina Faso,1952,4469979,Africa,31.975,543.2552413 +Burkina Faso,1957,4713416,Africa,34.906,617.1834648 +Burkina Faso,1962,4919632,Africa,37.814,722.5120206 +Burkina Faso,1967,5127935,Africa,40.697,794.8265597 +Burkina Faso,1972,5433886,Africa,43.591,854.7359763 +Burkina Faso,1977,5889574,Africa,46.137,743.3870368 +Burkina Faso,1982,6634596,Africa,48.122,807.1985855 +Burkina Faso,1987,7586551,Africa,49.557,912.0631417 +Burkina Faso,1992,8878303,Africa,50.26,931.7527731 +Burkina Faso,1997,10352843,Africa,50.324,946.2949618 +Burkina Faso,2002,12251209,Africa,50.65,1037.645221 +Burkina Faso,2007,14326203,Africa,52.295,1217.032994 +Burundi,1952,2445618,Africa,39.031,339.2964587 +Burundi,1957,2667518,Africa,40.533,379.5646281 +Burundi,1962,2961915,Africa,42.045,355.2032273 +Burundi,1967,3330989,Africa,43.548,412.9775136 +Burundi,1972,3529983,Africa,44.057,464.0995039 +Burundi,1977,3834415,Africa,45.91,556.1032651 +Burundi,1982,4580410,Africa,47.471,559.603231 +Burundi,1987,5126023,Africa,48.211,621.8188189 +Burundi,1992,5809236,Africa,44.736,631.6998778 +Burundi,1997,6121610,Africa,45.326,463.1151478 +Burundi,2002,7021078,Africa,47.36,446.4035126 +Burundi,2007,8390505,Africa,49.58,430.0706916 +Cambodia,1952,4693836,Asia,39.417,368.4692856 +Cambodia,1957,5322536,Asia,41.366,434.0383364 +Cambodia,1962,6083619,Asia,43.415,496.9136476 +Cambodia,1967,6960067,Asia,45.415,523.4323142 +Cambodia,1972,7450606,Asia,40.317,421.6240257 +Cambodia,1977,6978607,Asia,31.22,524.9721832 +Cambodia,1982,7272485,Asia,50.957,624.4754784 +Cambodia,1987,8371791,Asia,53.914,683.8955732 +Cambodia,1992,10150094,Asia,55.803,682.3031755 +Cambodia,1997,11782962,Asia,56.534,734.28517 +Cambodia,2002,12926707,Asia,56.752,896.2260153 +Cambodia,2007,14131858,Asia,59.723,1713.778686 +Cameroon,1952,5009067,Africa,38.523,1172.667655 +Cameroon,1957,5359923,Africa,40.428,1313.048099 +Cameroon,1962,5793633,Africa,42.643,1399.607441 +Cameroon,1967,6335506,Africa,44.799,1508.453148 +Cameroon,1972,7021028,Africa,47.049,1684.146528 +Cameroon,1977,7959865,Africa,49.355,1783.432873 +Cameroon,1982,9250831,Africa,52.961,2367.983282 +Cameroon,1987,10780667,Africa,54.985,2602.664206 +Cameroon,1992,12467171,Africa,54.314,1793.163278 +Cameroon,1997,14195809,Africa,52.199,1694.337469 +Cameroon,2002,15929988,Africa,49.856,1934.011449 +Cameroon,2007,17696293,Africa,50.43,2042.09524 +Canada,1952,14785584,Americas,68.75,11367.16112 +Canada,1957,17010154,Americas,69.96,12489.95006 +Canada,1962,18985849,Americas,71.3,13462.48555 +Canada,1967,20819767,Americas,72.13,16076.58803 +Canada,1972,22284500,Americas,72.88,18970.57086 +Canada,1977,23796400,Americas,74.21,22090.88306 +Canada,1982,25201900,Americas,75.76,22898.79214 +Canada,1987,26549700,Americas,76.86,26626.51503 +Canada,1992,28523502,Americas,77.95,26342.88426 +Canada,1997,30305843,Americas,78.61,28954.92589 +Canada,2002,31902268,Americas,79.77,33328.96507 +Canada,2007,33390141,Americas,80.653,36319.23501 +Central African Republic,1952,1291695,Africa,35.463,1071.310713 +Central African Republic,1957,1392284,Africa,37.464,1190.844328 +Central African Republic,1962,1523478,Africa,39.475,1193.068753 +Central African Republic,1967,1733638,Africa,41.478,1136.056615 +Central African Republic,1972,1927260,Africa,43.457,1070.013275 +Central African Republic,1977,2167533,Africa,46.775,1109.374338 +Central African Republic,1982,2476971,Africa,48.295,956.7529907 +Central African Republic,1987,2840009,Africa,50.485,844.8763504 +Central African Republic,1992,3265124,Africa,49.396,747.9055252 +Central African Republic,1997,3696513,Africa,46.066,740.5063317 +Central African Republic,2002,4048013,Africa,43.308,738.6906068 +Central African Republic,2007,4369038,Africa,44.741,706.016537 +Chad,1952,2682462,Africa,38.092,1178.665927 +Chad,1957,2894855,Africa,39.881,1308.495577 +Chad,1962,3150417,Africa,41.716,1389.817618 +Chad,1967,3495967,Africa,43.601,1196.810565 +Chad,1972,3899068,Africa,45.569,1104.103987 +Chad,1977,4388260,Africa,47.383,1133.98495 +Chad,1982,4875118,Africa,49.517,797.9081006 +Chad,1987,5498955,Africa,51.051,952.386129 +Chad,1992,6429417,Africa,51.724,1058.0643 +Chad,1997,7562011,Africa,51.573,1004.961353 +Chad,2002,8835739,Africa,50.525,1156.18186 +Chad,2007,10238807,Africa,50.651,1704.063724 +Chile,1952,6377619,Americas,54.745,3939.978789 +Chile,1957,7048426,Americas,56.074,4315.622723 +Chile,1962,7961258,Americas,57.924,4519.094331 +Chile,1967,8858908,Americas,60.523,5106.654313 +Chile,1972,9717524,Americas,63.441,5494.024437 +Chile,1977,10599793,Americas,67.052,4756.763836 +Chile,1982,11487112,Americas,70.565,5095.665738 +Chile,1987,12463354,Americas,72.492,5547.063754 +Chile,1992,13572994,Americas,74.126,7596.125964 +Chile,1997,14599929,Americas,75.816,10118.05318 +Chile,2002,15497046,Americas,77.86,10778.78385 +Chile,2007,16284741,Americas,78.553,13171.63885 +China,1952,556263527.999989,Asia,44,400.448610699994 +China,1957,637408000,Asia,50.54896,575.9870009 +China,1962,665770000,Asia,44.50136,487.6740183 +China,1967,754550000,Asia,58.38112,612.7056934 +China,1972,862030000,Asia,63.11888,676.9000921 +China,1977,943455000,Asia,63.96736,741.2374699 +China,1982,1000281000,Asia,65.525,962.4213805 +China,1987,1084035000,Asia,67.274,1378.904018 +China,1992,1164970000,Asia,68.69,1655.784158 +China,1997,1230075000,Asia,70.426,2289.234136 +China,2002,1280400000,Asia,72.028,3119.280896 +China,2007,1318683096,Asia,72.961,4959.114854 +Colombia,1952,12350771,Americas,50.643,2144.115096 +Colombia,1957,14485993,Americas,55.118,2323.805581 +Colombia,1962,17009885,Americas,57.863,2492.351109 +Colombia,1967,19764027,Americas,59.963,2678.729839 +Colombia,1972,22542890,Americas,61.623,3264.660041 +Colombia,1977,25094412,Americas,63.837,3815.80787 +Colombia,1982,27764644,Americas,66.653,4397.575659 +Colombia,1987,30964245,Americas,67.768,4903.2191 +Colombia,1992,34202721,Americas,68.421,5444.648617 +Colombia,1997,37657830,Americas,70.313,6117.361746 +Colombia,2002,41008227,Americas,71.682,5755.259962 +Colombia,2007,44227550,Americas,72.889,7006.580419 +Comoros,1952,153936,Africa,40.715,1102.990936 +Comoros,1957,170928,Africa,42.46,1211.148548 +Comoros,1962,191689,Africa,44.467,1406.648278 +Comoros,1967,217378,Africa,46.472,1876.029643 +Comoros,1972,250027,Africa,48.944,1937.577675 +Comoros,1977,304739,Africa,50.939,1172.603047 +Comoros,1982,348643,Africa,52.933,1267.100083 +Comoros,1987,395114,Africa,54.926,1315.980812 +Comoros,1992,454429,Africa,57.939,1246.90737 +Comoros,1997,527982,Africa,60.66,1173.618235 +Comoros,2002,614382,Africa,62.974,1075.811558 +Comoros,2007,710960,Africa,65.152,986.1478792 +Congo Dem. Rep.,1952,14100005,Africa,39.143,780.5423257 +Congo Dem. Rep.,1957,15577932,Africa,40.652,905.8602303 +Congo Dem. Rep.,1962,17486434,Africa,42.122,896.3146335 +Congo Dem. Rep.,1967,19941073,Africa,44.056,861.5932424 +Congo Dem. Rep.,1972,23007669,Africa,45.989,904.8960685 +Congo Dem. Rep.,1977,26480870,Africa,47.804,795.757282 +Congo Dem. Rep.,1982,30646495,Africa,47.784,673.7478181 +Congo Dem. Rep.,1987,35481645,Africa,47.412,672.774812 +Congo Dem. Rep.,1992,41672143,Africa,45.548,457.7191807 +Congo Dem. Rep.,1997,47798986,Africa,42.587,312.188423 +Congo Dem. Rep.,2002,55379852,Africa,44.966,241.1658765 +Congo Dem. Rep.,2007,64606759,Africa,46.462,277.5518587 +Congo Rep.,1952,854885,Africa,42.111,2125.621418 +Congo Rep.,1957,940458,Africa,45.053,2315.056572 +Congo Rep.,1962,1047924,Africa,48.435,2464.783157 +Congo Rep.,1967,1179760,Africa,52.04,2677.939642 +Congo Rep.,1972,1340458,Africa,54.907,3213.152683 +Congo Rep.,1977,1536769,Africa,55.625,3259.178978 +Congo Rep.,1982,1774735,Africa,56.695,4879.507522 +Congo Rep.,1987,2064095,Africa,57.47,4201.194937 +Congo Rep.,1992,2409073,Africa,56.433,4016.239529 +Congo Rep.,1997,2800947,Africa,52.962,3484.164376 +Congo Rep.,2002,3328795,Africa,52.97,3484.06197 +Congo Rep.,2007,3800610,Africa,55.322,3632.557798 +Costa Rica,1952,926317,Americas,57.206,2627.009471 +Costa Rica,1957,1112300,Americas,60.026,2990.010802 +Costa Rica,1962,1345187,Americas,62.842,3460.937025 +Costa Rica,1967,1588717,Americas,65.424,4161.727834 +Costa Rica,1972,1834796,Americas,67.849,5118.146939 +Costa Rica,1977,2108457,Americas,70.75,5926.876967 +Costa Rica,1982,2424367,Americas,73.45,5262.734751 +Costa Rica,1987,2799811,Americas,74.752,5629.915318 +Costa Rica,1992,3173216,Americas,75.713,6160.416317 +Costa Rica,1997,3518107,Americas,77.26,6677.045314 +Costa Rica,2002,3834934,Americas,78.123,7723.447195 +Costa Rica,2007,4133884,Americas,78.782,9645.06142 +"Cote d'Ivoire",1952,2977019,Africa,40.477,1388.594732 +"Cote d'Ivoire",1957,3300000,Africa,42.469,1500.895925 +"Cote d'Ivoire",1962,3832408,Africa,44.93,1728.869428 +"Cote d'Ivoire",1967,4744870,Africa,47.35,2052.050473 +"Cote d'Ivoire",1972,6071696,Africa,49.801,2378.201111 +"Cote d'Ivoire",1977,7459574,Africa,52.374,2517.736547 +"Cote d'Ivoire",1982,9025951,Africa,53.983,2602.710169 +"Cote d'Ivoire",1987,10761098,Africa,54.655,2156.956069 +"Cote d'Ivoire",1992,12772596,Africa,52.044,1648.073791 +"Cote d'Ivoire",1997,14625967,Africa,47.991,1786.265407 +"Cote d'Ivoire",2002,16252726,Africa,46.832,1648.800823 +"Cote d'Ivoire",2007,18013409,Africa,48.328,1544.750112 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+Cuba,1997,10983007,Americas,76.151,5431.990415 +Cuba,2002,11226999,Americas,77.158,6340.646683 +Cuba,2007,11416987,Americas,78.273,8948.102923 +Czech Republic,1952,9125183,Europe,66.87,6876.14025 +Czech Republic,1957,9513758,Europe,69.03,8256.343918 +Czech Republic,1962,9620282,Europe,69.9,10136.86713 +Czech Republic,1967,9835109,Europe,70.38,11399.44489 +Czech Republic,1972,9862158,Europe,70.29,13108.4536 +Czech Republic,1977,10161915,Europe,70.71,14800.16062 +Czech Republic,1982,10303704,Europe,70.96,15377.22855 +Czech Republic,1987,10311597,Europe,71.58,16310.4434 +Czech Republic,1992,10315702,Europe,72.4,14297.02122 +Czech Republic,1997,10300707,Europe,74.01,16048.51424 +Czech Republic,2002,10256295,Europe,75.51,17596.21022 +Czech Republic,2007,10228744,Europe,76.486,22833.30851 +Denmark,1952,4334000,Europe,70.78,9692.385245 +Denmark,1957,4487831,Europe,71.81,11099.65935 +Denmark,1962,4646899,Europe,72.35,13583.31351 +Denmark,1967,4838800,Europe,72.96,15937.21123 +Denmark,1972,4991596,Europe,73.47,18866.20721 +Denmark,1977,5088419,Europe,74.69,20422.9015 +Denmark,1982,5117810,Europe,74.63,21688.04048 +Denmark,1987,5127024,Europe,74.8,25116.17581 +Denmark,1992,5171393,Europe,75.33,26406.73985 +Denmark,1997,5283663,Europe,76.11,29804.34567 +Denmark,2002,5374693,Europe,77.18,32166.50006 +Denmark,2007,5468120,Europe,78.332,35278.41874 +Djibouti,1952,63149,Africa,34.812,2669.529475 +Djibouti,1957,71851,Africa,37.328,2864.969076 +Djibouti,1962,89898,Africa,39.693,3020.989263 +Djibouti,1967,127617,Africa,42.074,3020.050513 +Djibouti,1972,178848,Africa,44.366,3694.212352 +Djibouti,1977,228694,Africa,46.519,3081.761022 +Djibouti,1982,305991,Africa,48.812,2879.468067 +Djibouti,1987,311025,Africa,50.04,2880.102568 +Djibouti,1992,384156,Africa,51.604,2377.156192 +Djibouti,1997,417908,Africa,53.157,1895.016984 +Djibouti,2002,447416,Africa,53.373,1908.260867 +Djibouti,2007,496374,Africa,54.791,2082.481567 +Dominican Republic,1952,2491346,Americas,45.928,1397.717137 +Dominican Republic,1957,2923186,Americas,49.828,1544.402995 +Dominican Republic,1962,3453434,Americas,53.459,1662.137359 +Dominican Republic,1967,4049146,Americas,56.751,1653.723003 +Dominican Republic,1972,4671329,Americas,59.631,2189.874499 +Dominican Republic,1977,5302800,Americas,61.788,2681.9889 +Dominican Republic,1982,5968349,Americas,63.727,2861.092386 +Dominican Republic,1987,6655297,Americas,66.046,2899.842175 +Dominican Republic,1992,7351181,Americas,68.457,3044.214214 +Dominican Republic,1997,7992357,Americas,69.957,3614.101285 +Dominican Republic,2002,8650322,Americas,70.847,4563.808154 +Dominican Republic,2007,9319622,Americas,72.235,6025.374752 +Ecuador,1952,3548753,Americas,48.357,3522.110717 +Ecuador,1957,4058385,Americas,51.356,3780.546651 +Ecuador,1962,4681707,Americas,54.64,4086.114078 +Ecuador,1967,5432424,Americas,56.678,4579.074215 +Ecuador,1972,6298651,Americas,58.796,5280.99471 +Ecuador,1977,7278866,Americas,61.31,6679.62326 +Ecuador,1982,8365850,Americas,64.342,7213.791267 +Ecuador,1987,9545158,Americas,67.231,6481.776993 +Ecuador,1992,10748394,Americas,69.613,7103.702595 +Ecuador,1997,11911819,Americas,72.312,7429.455877 +Ecuador,2002,12921234,Americas,74.173,5773.044512 +Ecuador,2007,13755680,Americas,74.994,6873.262326 +Egypt,1952,22223309,Africa,41.893,1418.822445 +Egypt,1957,25009741,Africa,44.444,1458.915272 +Egypt,1962,28173309,Africa,46.992,1693.335853 +Egypt,1967,31681188,Africa,49.293,1814.880728 +Egypt,1972,34807417,Africa,51.137,2024.008147 +Egypt,1977,38783863,Africa,53.319,2785.493582 +Egypt,1982,45681811,Africa,56.006,3503.729636 +Egypt,1987,52799062,Africa,59.797,3885.46071 +Egypt,1992,59402198,Africa,63.674,3794.755195 +Egypt,1997,66134291,Africa,67.217,4173.181797 +Egypt,2002,73312559,Africa,69.806,4754.604414 +Egypt,2007,80264543,Africa,71.338,5581.180998 +El Salvador,1952,2042865,Americas,45.262,3048.3029 +El Salvador,1957,2355805,Americas,48.57,3421.523218 +El Salvador,1962,2747687,Americas,52.307,3776.803627 +El Salvador,1967,3232927,Americas,55.855,4358.595393 +El Salvador,1972,3790903,Americas,58.207,4520.246008 +El Salvador,1977,4282586,Americas,56.696,5138.922374 +El Salvador,1982,4474873,Americas,56.604,4098.344175 +El Salvador,1987,4842194,Americas,63.154,4140.442097 +El Salvador,1992,5274649,Americas,66.798,4444.2317 +El Salvador,1997,5783439,Americas,69.535,5154.825496 +El Salvador,2002,6353681,Americas,70.734,5351.568666 +El Salvador,2007,6939688,Americas,71.878,5728.353514 +Equatorial Guinea,1952,216964,Africa,34.482,375.6431231 +Equatorial Guinea,1957,232922,Africa,35.983,426.0964081 +Equatorial Guinea,1962,249220,Africa,37.485,582.8419714 +Equatorial Guinea,1967,259864,Africa,38.987,915.5960025 +Equatorial Guinea,1972,277603,Africa,40.516,672.4122571 +Equatorial Guinea,1977,192675,Africa,42.024,958.5668124 +Equatorial Guinea,1982,285483,Africa,43.662,927.8253427 +Equatorial Guinea,1987,341244,Africa,45.664,966.8968149 +Equatorial Guinea,1992,387838,Africa,47.545,1132.055034 +Equatorial Guinea,1997,439971,Africa,48.245,2814.480755 +Equatorial Guinea,2002,495627,Africa,49.348,7703.4959 +Equatorial Guinea,2007,551201,Africa,51.579,12154.08975 +Eritrea,1952,1438760,Africa,35.928,328.9405571 +Eritrea,1957,1542611,Africa,38.047,344.1618859 +Eritrea,1962,1666618,Africa,40.158,380.9958433 +Eritrea,1967,1820319,Africa,42.189,468.7949699 +Eritrea,1972,2260187,Africa,44.142,514.3242082 +Eritrea,1977,2512642,Africa,44.535,505.7538077 +Eritrea,1982,2637297,Africa,43.89,524.8758493 +Eritrea,1987,2915959,Africa,46.453,521.1341333 +Eritrea,1992,3668440,Africa,49.991,582.8585102 +Eritrea,1997,4058319,Africa,53.378,913.47079 +Eritrea,2002,4414865,Africa,55.24,765.3500015 +Eritrea,2007,4906585,Africa,58.04,641.3695236 +Ethiopia,1952,20860941,Africa,34.078,362.1462796 +Ethiopia,1957,22815614,Africa,36.667,378.9041632 +Ethiopia,1962,25145372,Africa,40.059,419.4564161 +Ethiopia,1967,27860297,Africa,42.115,516.1186438 +Ethiopia,1972,30770372,Africa,43.515,566.2439442 +Ethiopia,1977,34617799,Africa,44.51,556.8083834 +Ethiopia,1982,38111756,Africa,44.916,577.8607471 +Ethiopia,1987,42999530,Africa,46.684,573.7413142 +Ethiopia,1992,52088559,Africa,48.091,421.3534653 +Ethiopia,1997,59861301,Africa,49.402,515.8894013 +Ethiopia,2002,67946797,Africa,50.725,530.0535319 +Ethiopia,2007,76511887,Africa,52.947,690.8055759 +Finland,1952,4090500,Europe,66.55,6424.519071 +Finland,1957,4324000,Europe,67.49,7545.415386 +Finland,1962,4491443,Europe,68.75,9371.842561 +Finland,1967,4605744,Europe,69.83,10921.63626 +Finland,1972,4639657,Europe,70.87,14358.8759 +Finland,1977,4738902,Europe,72.52,15605.42283 +Finland,1982,4826933,Europe,74.55,18533.15761 +Finland,1987,4931729,Europe,74.83,21141.01223 +Finland,1992,5041039,Europe,75.7,20647.16499 +Finland,1997,5134406,Europe,77.13,23723.9502 +Finland,2002,5193039,Europe,78.37,28204.59057 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+Gabon,1992,985739,Africa,61.366,13522.15752 +Gabon,1997,1126189,Africa,60.461,14722.84188 +Gabon,2002,1299304,Africa,56.761,12521.71392 +Gabon,2007,1454867,Africa,56.735,13206.48452 +Gambia,1952,284320,Africa,30,485.2306591 +Gambia,1957,323150,Africa,32.065,520.9267111 +Gambia,1962,374020,Africa,33.896,599.650276 +Gambia,1967,439593,Africa,35.857,734.7829124 +Gambia,1972,517101,Africa,38.308,756.0868363 +Gambia,1977,608274,Africa,41.842,884.7552507 +Gambia,1982,715523,Africa,45.58,835.8096108 +Gambia,1987,848406,Africa,49.265,611.6588611 +Gambia,1992,1025384,Africa,52.644,665.6244126 +Gambia,1997,1235767,Africa,55.861,653.7301704 +Gambia,2002,1457766,Africa,58.041,660.5855997 +Gambia,2007,1688359,Africa,59.448,752.7497265 +Germany,1952,69145952,Europe,67.5,7144.114393 +Germany,1957,71019069,Europe,69.1,10187.82665 +Germany,1962,73739117,Europe,70.3,12902.46291 +Germany,1967,76368453,Europe,70.8,14745.62561 +Germany,1972,78717088,Europe,71,18016.18027 +Germany,1977,78160773,Europe,72.5,20512.92123 +Germany,1982,78335266,Europe,73.8,22031.53274 +Germany,1987,77718298,Europe,74.847,24639.18566 +Germany,1992,80597764,Europe,76.07,26505.30317 +Germany,1997,82011073,Europe,77.34,27788.88416 +Germany,2002,82350671,Europe,78.67,30035.80198 +Germany,2007,82400996,Europe,79.406,32170.37442 +Ghana,1952,5581001,Africa,43.149,911.2989371 +Ghana,1957,6391288,Africa,44.779,1043.561537 +Ghana,1962,7355248,Africa,46.452,1190.041118 +Ghana,1967,8490213,Africa,48.072,1125.69716 +Ghana,1972,9354120,Africa,49.875,1178.223708 +Ghana,1977,10538093,Africa,51.756,993.2239571 +Ghana,1982,11400338,Africa,53.744,876.032569 +Ghana,1987,14168101,Africa,55.729,847.0061135 +Ghana,1992,16278738,Africa,57.501,925.060154 +Ghana,1997,18418288,Africa,58.556,1005.245812 +Ghana,2002,20550751,Africa,58.453,1111.984578 +Ghana,2007,22873338,Africa,60.022,1327.60891 +Greece,1952,7733250,Europe,65.86,3530.690067 +Greece,1957,8096218,Europe,67.86,4916.299889 +Greece,1962,8448233,Europe,69.51,6017.190733 +Greece,1967,8716441,Europe,71,8513.097016 +Greece,1972,8888628,Europe,72.34,12724.82957 +Greece,1977,9308479,Europe,73.68,14195.52428 +Greece,1982,9786480,Europe,75.24,15268.42089 +Greece,1987,9974490,Europe,76.67,16120.52839 +Greece,1992,10325429,Europe,77.03,17541.49634 +Greece,1997,10502372,Europe,77.869,18747.69814 +Greece,2002,10603863,Europe,78.256,22514.2548 +Greece,2007,10706290,Europe,79.483,27538.41188 +Guatemala,1952,3146381,Americas,42.023,2428.237769 +Guatemala,1957,3640876,Americas,44.142,2617.155967 +Guatemala,1962,4208858,Americas,46.954,2750.364446 +Guatemala,1967,4690773,Americas,50.016,3242.531147 +Guatemala,1972,5149581,Americas,53.738,4031.408271 +Guatemala,1977,5703430,Americas,56.029,4879.992748 +Guatemala,1982,6395630,Americas,58.137,4820.49479 +Guatemala,1987,7326406,Americas,60.782,4246.485974 +Guatemala,1992,8486949,Americas,63.373,4439.45084 +Guatemala,1997,9803875,Americas,66.322,4684.313807 +Guatemala,2002,11178650,Americas,68.978,4858.347495 +Guatemala,2007,12572928,Americas,70.259,5186.050003 +Guinea,1952,2664249,Africa,33.609,510.1964923 +Guinea,1957,2876726,Africa,34.558,576.2670245 +Guinea,1962,3140003,Africa,35.753,686.3736739 +Guinea,1967,3451418,Africa,37.197,708.7595409 +Guinea,1972,3811387,Africa,38.842,741.6662307 +Guinea,1977,4227026,Africa,40.762,874.6858643 +Guinea,1982,4710497,Africa,42.891,857.2503577 +Guinea,1987,5650262,Africa,45.552,805.5724718 +Guinea,1992,6990574,Africa,48.576,794.3484384 +Guinea,1997,8048834,Africa,51.455,869.4497668 +Guinea,2002,8807818,Africa,53.676,945.5835837 +Guinea,2007,9947814,Africa,56.007,942.6542111 +Guinea-Bissau,1952,580653,Africa,32.5,299.850319 +Guinea-Bissau,1957,601095,Africa,33.489,431.7904566 +Guinea-Bissau,1962,627820,Africa,34.488,522.0343725 +Guinea-Bissau,1967,601287,Africa,35.492,715.5806402 +Guinea-Bissau,1972,625361,Africa,36.486,820.2245876 +Guinea-Bissau,1977,745228,Africa,37.465,764.7259628 +Guinea-Bissau,1982,825987,Africa,39.327,838.1239671 +Guinea-Bissau,1987,927524,Africa,41.245,736.4153921 +Guinea-Bissau,1992,1050938,Africa,43.266,745.5398706 +Guinea-Bissau,1997,1193708,Africa,44.873,796.6644681 +Guinea-Bissau,2002,1332459,Africa,45.504,575.7047176 +Guinea-Bissau,2007,1472041,Africa,46.388,579.231743 +Haiti,1952,3201488,Americas,37.579,1840.366939 +Haiti,1957,3507701,Americas,40.696,1726.887882 +Haiti,1962,3880130,Americas,43.59,1796.589032 +Haiti,1967,4318137,Americas,46.243,1452.057666 +Haiti,1972,4698301,Americas,48.042,1654.456946 +Haiti,1977,4908554,Americas,49.923,1874.298931 +Haiti,1982,5198399,Americas,51.461,2011.159549 +Haiti,1987,5756203,Americas,53.636,1823.015995 +Haiti,1992,6326682,Americas,55.089,1456.309517 +Haiti,1997,6913545,Americas,56.671,1341.726931 +Haiti,2002,7607651,Americas,58.137,1270.364932 +Haiti,2007,8502814,Americas,60.916,1201.637154 +Honduras,1952,1517453,Americas,41.912,2194.926204 +Honduras,1957,1770390,Americas,44.665,2220.487682 +Honduras,1962,2090162,Americas,48.041,2291.156835 +Honduras,1967,2500689,Americas,50.924,2538.269358 +Honduras,1972,2965146,Americas,53.884,2529.842345 +Honduras,1977,3055235,Americas,57.402,3203.208066 +Honduras,1982,3669448,Americas,60.909,3121.760794 +Honduras,1987,4372203,Americas,64.492,3023.096699 +Honduras,1992,5077347,Americas,66.399,3081.694603 +Honduras,1997,5867957,Americas,67.659,3160.454906 +Honduras,2002,6677328,Americas,68.565,3099.72866 +Honduras,2007,7483763,Americas,70.198,3548.330846 +Hong Kong China,1952,2125900,Asia,60.96,3054.421209 +Hong Kong China,1957,2736300,Asia,64.75,3629.076457 +Hong Kong China,1962,3305200,Asia,67.65,4692.648272 +Hong Kong China,1967,3722800,Asia,70,6197.962814 +Hong Kong China,1972,4115700,Asia,72,8315.928145 +Hong Kong China,1977,4583700,Asia,73.6,11186.14125 +Hong Kong China,1982,5264500,Asia,75.45,14560.53051 +Hong Kong China,1987,5584510,Asia,76.2,20038.47269 +Hong Kong China,1992,5829696,Asia,77.601,24757.60301 +Hong Kong China,1997,6495918,Asia,80,28377.63219 +Hong Kong China,2002,6762476,Asia,81.495,30209.01516 +Hong Kong China,2007,6980412,Asia,82.208,39724.97867 +Hungary,1952,9504000,Europe,64.03,5263.673816 +Hungary,1957,9839000,Europe,66.41,6040.180011 +Hungary,1962,10063000,Europe,67.96,7550.359877 +Hungary,1967,10223422,Europe,69.5,9326.64467 +Hungary,1972,10394091,Europe,69.76,10168.65611 +Hungary,1977,10637171,Europe,69.95,11674.83737 +Hungary,1982,10705535,Europe,69.39,12545.99066 +Hungary,1987,10612740,Europe,69.58,12986.47998 +Hungary,1992,10348684,Europe,69.17,10535.62855 +Hungary,1997,10244684,Europe,71.04,11712.7768 +Hungary,2002,10083313,Europe,72.59,14843.93556 +Hungary,2007,9956108,Europe,73.338,18008.94444 +Iceland,1952,147962,Europe,72.49,7267.688428 +Iceland,1957,165110,Europe,73.47,9244.001412 +Iceland,1962,182053,Europe,73.68,10350.15906 +Iceland,1967,198676,Europe,73.73,13319.89568 +Iceland,1972,209275,Europe,74.46,15798.06362 +Iceland,1977,221823,Europe,76.11,19654.96247 +Iceland,1982,233997,Europe,76.99,23269.6075 +Iceland,1987,244676,Europe,77.23,26923.20628 +Iceland,1992,259012,Europe,78.77,25144.39201 +Iceland,1997,271192,Europe,78.95,28061.09966 +Iceland,2002,288030,Europe,80.5,31163.20196 +Iceland,2007,301931,Europe,81.757,36180.78919 +India,1952,3.72e+08,Asia,37.373,546.5657493 +India,1957,4.09e+08,Asia,40.249,590.061996 +India,1962,4.54e+08,Asia,43.605,658.3471509 +India,1967,5.06e+08,Asia,47.193,700.7706107 +India,1972,5.67e+08,Asia,50.651,724.032527 +India,1977,6.34e+08,Asia,54.208,813.337323 +India,1982,7.08e+08,Asia,56.596,855.7235377 +India,1987,7.88e+08,Asia,58.553,976.5126756 +India,1992,8.72e+08,Asia,60.223,1164.406809 +India,1997,9.59e+08,Asia,61.765,1458.817442 +India,2002,1034172547,Asia,62.879,1746.769454 +India,2007,1110396331,Asia,64.698,2452.210407 +Indonesia,1952,82052000,Asia,37.468,749.6816546 +Indonesia,1957,90124000,Asia,39.918,858.9002707 +Indonesia,1962,99028000,Asia,42.518,849.2897701 +Indonesia,1967,109343000,Asia,45.964,762.4317721 +Indonesia,1972,121282000,Asia,49.203,1111.107907 +Indonesia,1977,136725000,Asia,52.702,1382.702056 +Indonesia,1982,153343000,Asia,56.159,1516.872988 +Indonesia,1987,169276000,Asia,60.137,1748.356961 +Indonesia,1992,184816000,Asia,62.681,2383.140898 +Indonesia,1997,199278000,Asia,66.041,3119.335603 +Indonesia,2002,211060000,Asia,68.588,2873.91287 +Indonesia,2007,223547000,Asia,70.65,3540.651564 +Iran,1952,17272000,Asia,44.869,3035.326002 +Iran,1957,19792000,Asia,47.181,3290.257643 +Iran,1962,22874000,Asia,49.325,4187.329802 +Iran,1967,26538000,Asia,52.469,5906.731805 +Iran,1972,30614000,Asia,55.234,9613.818607 +Iran,1977,35480679,Asia,57.702,11888.59508 +Iran,1982,43072751,Asia,59.62,7608.334602 +Iran,1987,51889696,Asia,63.04,6642.881371 +Iran,1992,60397973,Asia,65.742,7235.653188 +Iran,1997,63327987,Asia,68.042,8263.590301 +Iran,2002,66907826,Asia,69.451,9240.761975 +Iran,2007,69453570,Asia,70.964,11605.71449 +Iraq,1952,5441766,Asia,45.32,4129.766056 +Iraq,1957,6248643,Asia,48.437,6229.333562 +Iraq,1962,7240260,Asia,51.457,8341.737815 +Iraq,1967,8519282,Asia,54.459,8931.459811 +Iraq,1972,10061506,Asia,56.95,9576.037596 +Iraq,1977,11882916,Asia,60.413,14688.23507 +Iraq,1982,14173318,Asia,62.038,14517.90711 +Iraq,1987,16543189,Asia,65.044,11643.57268 +Iraq,1992,17861905,Asia,59.461,3745.640687 +Iraq,1997,20775703,Asia,58.811,3076.239795 +Iraq,2002,24001816,Asia,57.046,4390.717312 +Iraq,2007,27499638,Asia,59.545,4471.061906 +Ireland,1952,2952156,Europe,66.91,5210.280328 +Ireland,1957,2878220,Europe,68.9,5599.077872 +Ireland,1962,2830000,Europe,70.29,6631.597314 +Ireland,1967,2900100,Europe,71.08,7655.568963 +Ireland,1972,3024400,Europe,71.28,9530.772896 +Ireland,1977,3271900,Europe,72.03,11150.98113 +Ireland,1982,3480000,Europe,73.1,12618.32141 +Ireland,1987,3539900,Europe,74.36,13872.86652 +Ireland,1992,3557761,Europe,75.467,17558.81555 +Ireland,1997,3667233,Europe,76.122,24521.94713 +Ireland,2002,3879155,Europe,77.783,34077.04939 +Ireland,2007,4109086,Europe,78.885,40675.99635 +Israel,1952,1620914,Asia,65.39,4086.522128 +Israel,1957,1944401,Asia,67.84,5385.278451 +Israel,1962,2310904,Asia,69.39,7105.630706 +Israel,1967,2693585,Asia,70.75,8393.741404 +Israel,1972,3095893,Asia,71.63,12786.93223 +Israel,1977,3495918,Asia,73.06,13306.61921 +Israel,1982,3858421,Asia,74.45,15367.0292 +Israel,1987,4203148,Asia,75.6,17122.47986 +Israel,1992,4936550,Asia,76.93,18051.52254 +Israel,1997,5531387,Asia,78.269,20896.60924 +Israel,2002,6029529,Asia,79.696,21905.59514 +Israel,2007,6426679,Asia,80.745,25523.2771 +Italy,1952,47666000,Europe,65.94,4931.404155 +Italy,1957,49182000,Europe,67.81,6248.656232 +Italy,1962,50843200,Europe,69.24,8243.58234 +Italy,1967,52667100,Europe,71.06,10022.40131 +Italy,1972,54365564,Europe,72.19,12269.27378 +Italy,1977,56059245,Europe,73.48,14255.98475 +Italy,1982,56535636,Europe,74.98,16537.4835 +Italy,1987,56729703,Europe,76.42,19207.23482 +Italy,1992,56840847,Europe,77.44,22013.64486 +Italy,1997,57479469,Europe,78.82,24675.02446 +Italy,2002,57926999,Europe,80.24,27968.09817 +Italy,2007,58147733,Europe,80.546,28569.7197 +Jamaica,1952,1426095,Americas,58.53,2898.530881 +Jamaica,1957,1535090,Americas,62.61,4756.525781 +Jamaica,1962,1665128,Americas,65.61,5246.107524 +Jamaica,1967,1861096,Americas,67.51,6124.703451 +Jamaica,1972,1997616,Americas,69,7433.889293 +Jamaica,1977,2156814,Americas,70.11,6650.195573 +Jamaica,1982,2298309,Americas,71.21,6068.05135 +Jamaica,1987,2326606,Americas,71.77,6351.237495 +Jamaica,1992,2378618,Americas,71.766,7404.923685 +Jamaica,1997,2531311,Americas,72.262,7121.924704 +Jamaica,2002,2664659,Americas,72.047,6994.774861 +Jamaica,2007,2780132,Americas,72.567,7320.880262 +Japan,1952,86459025,Asia,63.03,3216.956347 +Japan,1957,91563009,Asia,65.5,4317.694365 +Japan,1962,95831757,Asia,68.73,6576.649461 +Japan,1967,100825279,Asia,71.43,9847.788607 +Japan,1972,107188273,Asia,73.42,14778.78636 +Japan,1977,113872473,Asia,75.38,16610.37701 +Japan,1982,118454974,Asia,77.11,19384.10571 +Japan,1987,122091325,Asia,78.67,22375.94189 +Japan,1992,124329269,Asia,79.36,26824.89511 +Japan,1997,125956499,Asia,80.69,28816.58499 +Japan,2002,127065841,Asia,82,28604.5919 +Japan,2007,127467972,Asia,82.603,31656.06806 +Jordan,1952,607914,Asia,43.158,1546.907807 +Jordan,1957,746559,Asia,45.669,1886.080591 +Jordan,1962,933559,Asia,48.126,2348.009158 +Jordan,1967,1255058,Asia,51.629,2741.796252 +Jordan,1972,1613551,Asia,56.528,2110.856309 +Jordan,1977,1937652,Asia,61.134,2852.351568 +Jordan,1982,2347031,Asia,63.739,4161.415959 +Jordan,1987,2820042,Asia,65.869,4448.679912 +Jordan,1992,3867409,Asia,68.015,3431.593647 +Jordan,1997,4526235,Asia,69.772,3645.379572 +Jordan,2002,5307470,Asia,71.263,3844.917194 +Jordan,2007,6053193,Asia,72.535,4519.461171 +Kenya,1952,6464046,Africa,42.27,853.540919 +Kenya,1957,7454779,Africa,44.686,944.4383152 +Kenya,1962,8678557,Africa,47.949,896.9663732 +Kenya,1967,10191512,Africa,50.654,1056.736457 +Kenya,1972,12044785,Africa,53.559,1222.359968 +Kenya,1977,14500404,Africa,56.155,1267.613204 +Kenya,1982,17661452,Africa,58.766,1348.225791 +Kenya,1987,21198082,Africa,59.339,1361.936856 +Kenya,1992,25020539,Africa,59.285,1341.921721 +Kenya,1997,28263827,Africa,54.407,1360.485021 +Kenya,2002,31386842,Africa,50.992,1287.514732 +Kenya,2007,35610177,Africa,54.11,1463.249282 +Korea Dem. Rep.,1952,8865488,Asia,50.056,1088.277758 +Korea Dem. Rep.,1957,9411381,Asia,54.081,1571.134655 +Korea Dem. Rep.,1962,10917494,Asia,56.656,1621.693598 +Korea Dem. Rep.,1967,12617009,Asia,59.942,2143.540609 +Korea Dem. Rep.,1972,14781241,Asia,63.983,3701.621503 +Korea Dem. Rep.,1977,16325320,Asia,67.159,4106.301249 +Korea Dem. Rep.,1982,17647518,Asia,69.1,4106.525293 +Korea Dem. Rep.,1987,19067554,Asia,70.647,4106.492315 +Korea Dem. Rep.,1992,20711375,Asia,69.978,3726.063507 +Korea Dem. Rep.,1997,21585105,Asia,67.727,1690.756814 +Korea Dem. Rep.,2002,22215365,Asia,66.662,1646.758151 +Korea Dem. Rep.,2007,23301725,Asia,67.297,1593.06548 +Korea Rep.,1952,20947571,Asia,47.453,1030.592226 +Korea Rep.,1957,22611552,Asia,52.681,1487.593537 +Korea Rep.,1962,26420307,Asia,55.292,1536.344387 +Korea Rep.,1967,30131000,Asia,57.716,2029.228142 +Korea Rep.,1972,33505000,Asia,62.612,3030.87665 +Korea Rep.,1977,36436000,Asia,64.766,4657.22102 +Korea Rep.,1982,39326000,Asia,67.123,5622.942464 +Korea Rep.,1987,41622000,Asia,69.81,8533.088805 +Korea Rep.,1992,43805450,Asia,72.244,12104.27872 +Korea Rep.,1997,46173816,Asia,74.647,15993.52796 +Korea Rep.,2002,47969150,Asia,77.045,19233.98818 +Korea Rep.,2007,49044790,Asia,78.623,23348.13973 +Kuwait,1952,160000,Asia,55.565,108382.3529 +Kuwait,1957,212846,Asia,58.033,113523.1329 +Kuwait,1962,358266,Asia,60.47,95458.11176 +Kuwait,1967,575003,Asia,64.624,80894.88326 +Kuwait,1972,841934,Asia,67.712,109347.867 +Kuwait,1977,1140357,Asia,69.343,59265.47714 +Kuwait,1982,1497494,Asia,71.309,31354.03573 +Kuwait,1987,1891487,Asia,74.174,28118.42998 +Kuwait,1992,1418095,Asia,75.19,34932.91959 +Kuwait,1997,1765345,Asia,76.156,40300.61996 +Kuwait,2002,2111561,Asia,76.904,35110.10566 +Kuwait,2007,2505559,Asia,77.588,47306.98978 +Lebanon,1952,1439529,Asia,55.928,4834.804067 +Lebanon,1957,1647412,Asia,59.489,6089.786934 +Lebanon,1962,1886848,Asia,62.094,5714.560611 +Lebanon,1967,2186894,Asia,63.87,6006.983042 +Lebanon,1972,2680018,Asia,65.421,7486.384341 +Lebanon,1977,3115787,Asia,66.099,8659.696836 +Lebanon,1982,3086876,Asia,66.983,7640.519521 +Lebanon,1987,3089353,Asia,67.926,5377.091329 +Lebanon,1992,3219994,Asia,69.292,6890.806854 +Lebanon,1997,3430388,Asia,70.265,8754.96385 +Lebanon,2002,3677780,Asia,71.028,9313.93883 +Lebanon,2007,3921278,Asia,71.993,10461.05868 +Lesotho,1952,748747,Africa,42.138,298.8462121 +Lesotho,1957,813338,Africa,45.047,335.9971151 +Lesotho,1962,893143,Africa,47.747,411.8006266 +Lesotho,1967,996380,Africa,48.492,498.6390265 +Lesotho,1972,1116779,Africa,49.767,496.5815922 +Lesotho,1977,1251524,Africa,52.208,745.3695408 +Lesotho,1982,1411807,Africa,55.078,797.2631074 +Lesotho,1987,1599200,Africa,57.18,773.9932141 +Lesotho,1992,1803195,Africa,59.685,977.4862725 +Lesotho,1997,1982823,Africa,55.558,1186.147994 +Lesotho,2002,2046772,Africa,44.593,1275.184575 +Lesotho,2007,2012649,Africa,42.592,1569.331442 +Liberia,1952,863308,Africa,38.48,575.5729961 +Liberia,1957,975950,Africa,39.486,620.9699901 +Liberia,1962,1112796,Africa,40.502,634.1951625 +Liberia,1967,1279406,Africa,41.536,713.6036483 +Liberia,1972,1482628,Africa,42.614,803.0054535 +Liberia,1977,1703617,Africa,43.764,640.3224383 +Liberia,1982,1956875,Africa,44.852,572.1995694 +Liberia,1987,2269414,Africa,46.027,506.1138573 +Liberia,1992,1912974,Africa,40.802,636.6229191 +Liberia,1997,2200725,Africa,42.221,609.1739508 +Liberia,2002,2814651,Africa,43.753,531.4823679 +Liberia,2007,3193942,Africa,45.678,414.5073415 +Libya,1952,1019729,Africa,42.723,2387.54806 +Libya,1957,1201578,Africa,45.289,3448.284395 +Libya,1962,1441863,Africa,47.808,6757.030816 +Libya,1967,1759224,Africa,50.227,18772.75169 +Libya,1972,2183877,Africa,52.773,21011.49721 +Libya,1977,2721783,Africa,57.442,21951.21176 +Libya,1982,3344074,Africa,62.155,17364.27538 +Libya,1987,3799845,Africa,66.234,11770.5898 +Libya,1992,4364501,Africa,68.755,9640.138501 +Libya,1997,4759670,Africa,71.555,9467.446056 +Libya,2002,5368585,Africa,72.737,9534.677467 +Libya,2007,6036914,Africa,73.952,12057.49928 +Madagascar,1952,4762912,Africa,36.681,1443.011715 +Madagascar,1957,5181679,Africa,38.865,1589.20275 +Madagascar,1962,5703324,Africa,40.848,1643.38711 +Madagascar,1967,6334556,Africa,42.881,1634.047282 +Madagascar,1972,7082430,Africa,44.851,1748.562982 +Madagascar,1977,8007166,Africa,46.881,1544.228586 +Madagascar,1982,9171477,Africa,48.969,1302.878658 +Madagascar,1987,10568642,Africa,49.35,1155.441948 +Madagascar,1992,12210395,Africa,52.214,1040.67619 +Madagascar,1997,14165114,Africa,54.978,986.2958956 +Madagascar,2002,16473477,Africa,57.286,894.6370822 +Madagascar,2007,19167654,Africa,59.443,1044.770126 +Malawi,1952,2917802,Africa,36.256,369.1650802 +Malawi,1957,3221238,Africa,37.207,416.3698064 +Malawi,1962,3628608,Africa,38.41,427.9010856 +Malawi,1967,4147252,Africa,39.487,495.5147806 +Malawi,1972,4730997,Africa,41.766,584.6219709 +Malawi,1977,5637246,Africa,43.767,663.2236766 +Malawi,1982,6502825,Africa,45.642,632.8039209 +Malawi,1987,7824747,Africa,47.457,635.5173634 +Malawi,1992,10014249,Africa,49.42,563.2000145 +Malawi,1997,10419991,Africa,47.495,692.2758103 +Malawi,2002,11824495,Africa,45.009,665.4231186 +Malawi,2007,13327079,Africa,48.303,759.3499101 +Malaysia,1952,6748378,Asia,48.463,1831.132894 +Malaysia,1957,7739235,Asia,52.102,1810.066992 +Malaysia,1962,8906385,Asia,55.737,2036.884944 +Malaysia,1967,10154878,Asia,59.371,2277.742396 +Malaysia,1972,11441462,Asia,63.01,2849.09478 +Malaysia,1977,12845381,Asia,65.256,3827.921571 +Malaysia,1982,14441916,Asia,68,4920.355951 +Malaysia,1987,16331785,Asia,69.5,5249.802653 +Malaysia,1992,18319502,Asia,70.693,7277.912802 +Malaysia,1997,20476091,Asia,71.938,10132.90964 +Malaysia,2002,22662365,Asia,73.044,10206.97794 +Malaysia,2007,24821286,Asia,74.241,12451.6558 +Mali,1952,3838168,Africa,33.685,452.3369807 +Mali,1957,4241884,Africa,35.307,490.3821867 +Mali,1962,4690372,Africa,36.936,496.1743428 +Mali,1967,5212416,Africa,38.487,545.0098873 +Mali,1972,5828158,Africa,39.977,581.3688761 +Mali,1977,6491649,Africa,41.714,686.3952693 +Mali,1982,6998256,Africa,43.916,618.0140641 +Mali,1987,7634008,Africa,46.364,684.1715576 +Mali,1992,8416215,Africa,48.388,739.014375 +Mali,1997,9384984,Africa,49.903,790.2579846 +Mali,2002,10580176,Africa,51.818,951.4097518 +Mali,2007,12031795,Africa,54.467,1042.581557 +Mauritania,1952,1022556,Africa,40.543,743.1159097 +Mauritania,1957,1076852,Africa,42.338,846.1202613 +Mauritania,1962,1146757,Africa,44.248,1055.896036 +Mauritania,1967,1230542,Africa,46.289,1421.145193 +Mauritania,1972,1332786,Africa,48.437,1586.851781 +Mauritania,1977,1456688,Africa,50.852,1497.492223 +Mauritania,1982,1622136,Africa,53.599,1481.150189 +Mauritania,1987,1841240,Africa,56.145,1421.603576 +Mauritania,1992,2119465,Africa,58.333,1361.369784 +Mauritania,1997,2444741,Africa,60.43,1483.136136 +Mauritania,2002,2828858,Africa,62.247,1579.019543 +Mauritania,2007,3270065,Africa,64.164,1803.151496 +Mauritius,1952,516556,Africa,50.986,1967.955707 +Mauritius,1957,609816,Africa,58.089,2034.037981 +Mauritius,1962,701016,Africa,60.246,2529.067487 +Mauritius,1967,789309,Africa,61.557,2475.387562 +Mauritius,1972,851334,Africa,62.944,2575.484158 +Mauritius,1977,913025,Africa,64.93,3710.982963 +Mauritius,1982,992040,Africa,66.711,3688.037739 +Mauritius,1987,1042663,Africa,68.74,4783.586903 +Mauritius,1992,1096202,Africa,69.745,6058.253846 +Mauritius,1997,1149818,Africa,70.736,7425.705295 +Mauritius,2002,1200206,Africa,71.954,9021.815894 +Mauritius,2007,1250882,Africa,72.801,10956.99112 +Mexico,1952,30144317,Americas,50.789,3478.125529 +Mexico,1957,35015548,Americas,55.19,4131.546641 +Mexico,1962,41121485,Americas,58.299,4581.609385 +Mexico,1967,47995559,Americas,60.11,5754.733883 +Mexico,1972,55984294,Americas,62.361,6809.40669 +Mexico,1977,63759976,Americas,65.032,7674.929108 +Mexico,1982,71640904,Americas,67.405,9611.147541 +Mexico,1987,80122492,Americas,69.498,8688.156003 +Mexico,1992,88111030,Americas,71.455,9472.384295 +Mexico,1997,95895146,Americas,73.67,9767.29753 +Mexico,2002,102479927,Americas,74.902,10742.44053 +Mexico,2007,108700891,Americas,76.195,11977.57496 +Mongolia,1952,800663,Asia,42.244,786.5668575 +Mongolia,1957,882134,Asia,45.248,912.6626085 +Mongolia,1962,1010280,Asia,48.251,1056.353958 +Mongolia,1967,1149500,Asia,51.253,1226.04113 +Mongolia,1972,1320500,Asia,53.754,1421.741975 +Mongolia,1977,1528000,Asia,55.491,1647.511665 +Mongolia,1982,1756032,Asia,57.489,2000.603139 +Mongolia,1987,2015133,Asia,60.222,2338.008304 +Mongolia,1992,2312802,Asia,61.271,1785.402016 +Mongolia,1997,2494803,Asia,63.625,1902.2521 +Mongolia,2002,2674234,Asia,65.033,2140.739323 +Mongolia,2007,2874127,Asia,66.803,3095.772271 +Montenegro,1952,413834,Europe,59.164,2647.585601 +Montenegro,1957,442829,Europe,61.448,3682.259903 +Montenegro,1962,474528,Europe,63.728,4649.593785 +Montenegro,1967,501035,Europe,67.178,5907.850937 +Montenegro,1972,527678,Europe,70.636,7778.414017 +Montenegro,1977,560073,Europe,73.066,9595.929905 +Montenegro,1982,562548,Europe,74.101,11222.58762 +Montenegro,1987,569473,Europe,74.865,11732.51017 +Montenegro,1992,621621,Europe,75.435,7003.339037 +Montenegro,1997,692651,Europe,75.445,6465.613349 +Montenegro,2002,720230,Europe,73.981,6557.194282 +Montenegro,2007,684736,Europe,74.543,9253.896111 +Morocco,1952,9939217,Africa,42.873,1688.20357 +Morocco,1957,11406350,Africa,45.423,1642.002314 +Morocco,1962,13056604,Africa,47.924,1566.353493 +Morocco,1967,14770296,Africa,50.335,1711.04477 +Morocco,1972,16660670,Africa,52.862,1930.194975 +Morocco,1977,18396941,Africa,55.73,2370.619976 +Morocco,1982,20198730,Africa,59.65,2702.620356 +Morocco,1987,22987397,Africa,62.677,2755.046991 +Morocco,1992,25798239,Africa,65.393,2948.047252 +Morocco,1997,28529501,Africa,67.66,2982.101858 +Morocco,2002,31167783,Africa,69.615,3258.495584 +Morocco,2007,33757175,Africa,71.164,3820.17523 +Mozambique,1952,6446316,Africa,31.286,468.5260381 +Mozambique,1957,7038035,Africa,33.779,495.5868333 +Mozambique,1962,7788944,Africa,36.161,556.6863539 +Mozambique,1967,8680909,Africa,38.113,566.6691539 +Mozambique,1972,9809596,Africa,40.328,724.9178037 +Mozambique,1977,11127868,Africa,42.495,502.3197334 +Mozambique,1982,12587223,Africa,42.795,462.2114149 +Mozambique,1987,12891952,Africa,42.861,389.8761846 +Mozambique,1992,13160731,Africa,44.284,410.8968239 +Mozambique,1997,16603334,Africa,46.344,472.3460771 +Mozambique,2002,18473780,Africa,44.026,633.6179466 +Mozambique,2007,19951656,Africa,42.082,823.6856205 +Myanmar,1952,20092996,Asia,36.319,331 +Myanmar,1957,21731844,Asia,41.905,350 +Myanmar,1962,23634436,Asia,45.108,388 +Myanmar,1967,25870271,Asia,49.379,349 +Myanmar,1972,28466390,Asia,53.07,357 +Myanmar,1977,31528087,Asia,56.059,371 +Myanmar,1982,34680442,Asia,58.056,424 +Myanmar,1987,38028578,Asia,58.339,385 +Myanmar,1992,40546538,Asia,59.32,347 +Myanmar,1997,43247867,Asia,60.328,415 +Myanmar,2002,45598081,Asia,59.908,611 +Myanmar,2007,47761980,Asia,62.069,944 +Namibia,1952,485831,Africa,41.725,2423.780443 +Namibia,1957,548080,Africa,45.226,2621.448058 +Namibia,1962,621392,Africa,48.386,3173.215595 +Namibia,1967,706640,Africa,51.159,3793.694753 +Namibia,1972,821782,Africa,53.867,3746.080948 +Namibia,1977,977026,Africa,56.437,3876.485958 +Namibia,1982,1099010,Africa,58.968,4191.100511 +Namibia,1987,1278184,Africa,60.835,3693.731337 +Namibia,1992,1554253,Africa,61.999,3804.537999 +Namibia,1997,1774766,Africa,58.909,3899.52426 +Namibia,2002,1972153,Africa,51.479,4072.324751 +Namibia,2007,2055080,Africa,52.906,4811.060429 +Nepal,1952,9182536,Asia,36.157,545.8657229 +Nepal,1957,9682338,Asia,37.686,597.9363558 +Nepal,1962,10332057,Asia,39.393,652.3968593 +Nepal,1967,11261690,Asia,41.472,676.4422254 +Nepal,1972,12412593,Asia,43.971,674.7881296 +Nepal,1977,13933198,Asia,46.748,694.1124398 +Nepal,1982,15796314,Asia,49.594,718.3730947 +Nepal,1987,17917180,Asia,52.537,775.6324501 +Nepal,1992,20326209,Asia,55.727,897.7403604 +Nepal,1997,23001113,Asia,59.426,1010.892138 +Nepal,2002,25873917,Asia,61.34,1057.206311 +Nepal,2007,28901790,Asia,63.785,1091.359778 +Netherlands,1952,10381988,Europe,72.13,8941.571858 +Netherlands,1957,11026383,Europe,72.99,11276.19344 +Netherlands,1962,11805689,Europe,73.23,12790.84956 +Netherlands,1967,12596822,Europe,73.82,15363.25136 +Netherlands,1972,13329874,Europe,73.75,18794.74567 +Netherlands,1977,13852989,Europe,75.24,21209.0592 +Netherlands,1982,14310401,Europe,76.05,21399.46046 +Netherlands,1987,14665278,Europe,76.83,23651.32361 +Netherlands,1992,15174244,Europe,77.42,26790.94961 +Netherlands,1997,15604464,Europe,78.03,30246.13063 +Netherlands,2002,16122830,Europe,78.53,33724.75778 +Netherlands,2007,16570613,Europe,79.762,36797.93332 +New Zealand,1952,1994794,Oceania,69.39,10556.57566 +New Zealand,1957,2229407,Oceania,70.26,12247.39532 +New Zealand,1962,2488550,Oceania,71.24,13175.678 +New Zealand,1967,2728150,Oceania,71.52,14463.91893 +New Zealand,1972,2929100,Oceania,71.89,16046.03728 +New Zealand,1977,3164900,Oceania,72.22,16233.7177 +New Zealand,1982,3210650,Oceania,73.84,17632.4104 +New Zealand,1987,3317166,Oceania,74.32,19007.19129 +New Zealand,1992,3437674,Oceania,76.33,18363.32494 +New Zealand,1997,3676187,Oceania,77.55,21050.41377 +New Zealand,2002,3908037,Oceania,79.11,23189.80135 +New Zealand,2007,4115771,Oceania,80.204,25185.00911 +Nicaragua,1952,1165790,Americas,42.314,3112.363948 +Nicaragua,1957,1358828,Americas,45.432,3457.415947 +Nicaragua,1962,1590597,Americas,48.632,3634.364406 +Nicaragua,1967,1865490,Americas,51.884,4643.393534 +Nicaragua,1972,2182908,Americas,55.151,4688.593267 +Nicaragua,1977,2554598,Americas,57.47,5486.371089 +Nicaragua,1982,2979423,Americas,59.298,3470.338156 +Nicaragua,1987,3344353,Americas,62.008,2955.984375 +Nicaragua,1992,4017939,Americas,65.843,2170.151724 +Nicaragua,1997,4609572,Americas,68.426,2253.023004 +Nicaragua,2002,5146848,Americas,70.836,2474.548819 +Nicaragua,2007,5675356,Americas,72.899,2749.320965 +Niger,1952,3379468,Africa,37.444,761.879376 +Niger,1957,3692184,Africa,38.598,835.5234025 +Niger,1962,4076008,Africa,39.487,997.7661127 +Niger,1967,4534062,Africa,40.118,1054.384891 +Niger,1972,5060262,Africa,40.546,954.2092363 +Niger,1977,5682086,Africa,41.291,808.8970728 +Niger,1982,6437188,Africa,42.598,909.7221354 +Niger,1987,7332638,Africa,44.555,668.3000228 +Niger,1992,8392818,Africa,47.391,581.182725 +Niger,1997,9666252,Africa,51.313,580.3052092 +Niger,2002,11140655,Africa,54.496,601.0745012 +Niger,2007,12894865,Africa,56.867,619.6768924 +Nigeria,1952,33119096,Africa,36.324,1077.281856 +Nigeria,1957,37173340,Africa,37.802,1100.592563 +Nigeria,1962,41871351,Africa,39.36,1150.927478 +Nigeria,1967,47287752,Africa,41.04,1014.514104 +Nigeria,1972,53740085,Africa,42.821,1698.388838 +Nigeria,1977,62209173,Africa,44.514,1981.951806 +Nigeria,1982,73039376,Africa,45.826,1576.97375 +Nigeria,1987,81551520,Africa,46.886,1385.029563 +Nigeria,1992,93364244,Africa,47.472,1619.848217 +Nigeria,1997,106207839,Africa,47.464,1624.941275 +Nigeria,2002,119901274,Africa,46.608,1615.286395 +Nigeria,2007,135031164,Africa,46.859,2013.977305 +Norway,1952,3327728,Europe,72.67,10095.42172 +Norway,1957,3491938,Europe,73.44,11653.97304 +Norway,1962,3638919,Europe,73.47,13450.40151 +Norway,1967,3786019,Europe,74.08,16361.87647 +Norway,1972,3933004,Europe,74.34,18965.05551 +Norway,1977,4043205,Europe,75.37,23311.34939 +Norway,1982,4114787,Europe,75.97,26298.63531 +Norway,1987,4186147,Europe,75.89,31540.9748 +Norway,1992,4286357,Europe,77.32,33965.66115 +Norway,1997,4405672,Europe,78.32,41283.16433 +Norway,2002,4535591,Europe,79.05,44683.97525 +Norway,2007,4627926,Europe,80.196,49357.19017 +Oman,1952,507833,Asia,37.578,1828.230307 +Oman,1957,561977,Asia,40.08,2242.746551 +Oman,1962,628164,Asia,43.165,2924.638113 +Oman,1967,714775,Asia,46.988,4720.942687 +Oman,1972,829050,Asia,52.143,10618.03855 +Oman,1977,1004533,Asia,57.367,11848.34392 +Oman,1982,1301048,Asia,62.728,12954.79101 +Oman,1987,1593882,Asia,67.734,18115.22313 +Oman,1992,1915208,Asia,71.197,18616.70691 +Oman,1997,2283635,Asia,72.499,19702.05581 +Oman,2002,2713462,Asia,74.193,19774.83687 +Oman,2007,3204897,Asia,75.64,22316.19287 +Pakistan,1952,41346560,Asia,43.436,684.5971438 +Pakistan,1957,46679944,Asia,45.557,747.0835292 +Pakistan,1962,53100671,Asia,47.67,803.3427418 +Pakistan,1967,60641899,Asia,49.8,942.4082588 +Pakistan,1972,69325921,Asia,51.929,1049.938981 +Pakistan,1977,78152686,Asia,54.043,1175.921193 +Pakistan,1982,91462088,Asia,56.158,1443.429832 +Pakistan,1987,105186881,Asia,58.245,1704.686583 +Pakistan,1992,120065004,Asia,60.838,1971.829464 +Pakistan,1997,135564834,Asia,61.818,2049.350521 +Pakistan,2002,153403524,Asia,63.61,2092.712441 +Pakistan,2007,169270617,Asia,65.483,2605.94758 +Panama,1952,940080,Americas,55.191,2480.380334 +Panama,1957,1063506,Americas,59.201,2961.800905 +Panama,1962,1215725,Americas,61.817,3536.540301 +Panama,1967,1405486,Americas,64.071,4421.009084 +Panama,1972,1616384,Americas,66.216,5364.249663 +Panama,1977,1839782,Americas,68.681,5351.912144 +Panama,1982,2036305,Americas,70.472,7009.601598 +Panama,1987,2253639,Americas,71.523,7034.779161 +Panama,1992,2484997,Americas,72.462,6618.74305 +Panama,1997,2734531,Americas,73.738,7113.692252 +Panama,2002,2990875,Americas,74.712,7356.031934 +Panama,2007,3242173,Americas,75.537,9809.185636 +Paraguay,1952,1555876,Americas,62.649,1952.308701 +Paraguay,1957,1770902,Americas,63.196,2046.154706 +Paraguay,1962,2009813,Americas,64.361,2148.027146 +Paraguay,1967,2287985,Americas,64.951,2299.376311 +Paraguay,1972,2614104,Americas,65.815,2523.337977 +Paraguay,1977,2984494,Americas,66.353,3248.373311 +Paraguay,1982,3366439,Americas,66.874,4258.503604 +Paraguay,1987,3886512,Americas,67.378,3998.875695 +Paraguay,1992,4483945,Americas,68.225,4196.411078 +Paraguay,1997,5154123,Americas,69.4,4247.400261 +Paraguay,2002,5884491,Americas,70.755,3783.674243 +Paraguay,2007,6667147,Americas,71.752,4172.838464 +Peru,1952,8025700,Americas,43.902,3758.523437 +Peru,1957,9146100,Americas,46.263,4245.256698 +Peru,1962,10516500,Americas,49.096,4957.037982 +Peru,1967,12132200,Americas,51.445,5788.09333 +Peru,1972,13954700,Americas,55.448,5937.827283 +Peru,1977,15990099,Americas,58.447,6281.290855 +Peru,1982,18125129,Americas,61.406,6434.501797 +Peru,1987,20195924,Americas,64.134,6360.943444 +Peru,1992,22430449,Americas,66.458,4446.380924 +Peru,1997,24748122,Americas,68.386,5838.347657 +Peru,2002,26769436,Americas,69.906,5909.020073 +Peru,2007,28674757,Americas,71.421,7408.905561 +Philippines,1952,22438691,Asia,47.752,1272.880995 +Philippines,1957,26072194,Asia,51.334,1547.944844 +Philippines,1962,30325264,Asia,54.757,1649.552153 +Philippines,1967,35356600,Asia,56.393,1814.12743 +Philippines,1972,40850141,Asia,58.065,1989.37407 +Philippines,1977,46850962,Asia,60.06,2373.204287 +Philippines,1982,53456774,Asia,62.082,2603.273765 +Philippines,1987,60017788,Asia,64.151,2189.634995 +Philippines,1992,67185766,Asia,66.458,2279.324017 +Philippines,1997,75012988,Asia,68.564,2536.534925 +Philippines,2002,82995088,Asia,70.303,2650.921068 +Philippines,2007,91077287,Asia,71.688,3190.481016 +Poland,1952,25730551,Europe,61.31,4029.329699 +Poland,1957,28235346,Europe,65.77,4734.253019 +Poland,1962,30329617,Europe,67.64,5338.752143 +Poland,1967,31785378,Europe,69.61,6557.152776 +Poland,1972,33039545,Europe,70.85,8006.506993 +Poland,1977,34621254,Europe,70.67,9508.141454 +Poland,1982,36227381,Europe,71.32,8451.531004 +Poland,1987,37740710,Europe,70.98,9082.351172 +Poland,1992,38370697,Europe,70.99,7738.881247 +Poland,1997,38654957,Europe,72.75,10159.58368 +Poland,2002,38625976,Europe,74.67,12002.23908 +Poland,2007,38518241,Europe,75.563,15389.92468 +Portugal,1952,8526050,Europe,59.82,3068.319867 +Portugal,1957,8817650,Europe,61.51,3774.571743 +Portugal,1962,9019800,Europe,64.39,4727.954889 +Portugal,1967,9103000,Europe,66.6,6361.517993 +Portugal,1972,8970450,Europe,69.26,9022.247417 +Portugal,1977,9662600,Europe,70.41,10172.48572 +Portugal,1982,9859650,Europe,72.77,11753.84291 +Portugal,1987,9915289,Europe,74.06,13039.30876 +Portugal,1992,9927680,Europe,74.86,16207.26663 +Portugal,1997,10156415,Europe,75.97,17641.03156 +Portugal,2002,10433867,Europe,77.29,19970.90787 +Portugal,2007,10642836,Europe,78.098,20509.64777 +Puerto Rico,1952,2227000,Americas,64.28,3081.959785 +Puerto Rico,1957,2260000,Americas,68.54,3907.156189 +Puerto Rico,1962,2448046,Americas,69.62,5108.34463 +Puerto Rico,1967,2648961,Americas,71.1,6929.277714 +Puerto Rico,1972,2847132,Americas,72.16,9123.041742 +Puerto Rico,1977,3080828,Americas,73.44,9770.524921 +Puerto Rico,1982,3279001,Americas,73.75,10330.98915 +Puerto Rico,1987,3444468,Americas,74.63,12281.34191 +Puerto Rico,1992,3585176,Americas,73.911,14641.58711 +Puerto Rico,1997,3759430,Americas,74.917,16999.4333 +Puerto Rico,2002,3859606,Americas,77.778,18855.60618 +Puerto Rico,2007,3942491,Americas,78.746,19328.70901 +Reunion,1952,257700,Africa,52.724,2718.885295 +Reunion,1957,308700,Africa,55.09,2769.451844 +Reunion,1962,358900,Africa,57.666,3173.72334 +Reunion,1967,414024,Africa,60.542,4021.175739 +Reunion,1972,461633,Africa,64.274,5047.658563 +Reunion,1977,492095,Africa,67.064,4319.804067 +Reunion,1982,517810,Africa,69.885,5267.219353 +Reunion,1987,562035,Africa,71.913,5303.377488 +Reunion,1992,622191,Africa,73.615,6101.255823 +Reunion,1997,684810,Africa,74.772,6071.941411 +Reunion,2002,743981,Africa,75.744,6316.1652 +Reunion,2007,798094,Africa,76.442,7670.122558 +Romania,1952,16630000,Europe,61.05,3144.613186 +Romania,1957,17829327,Europe,64.1,3943.370225 +Romania,1962,18680721,Europe,66.8,4734.997586 +Romania,1967,19284814,Europe,66.8,6470.866545 +Romania,1972,20662648,Europe,69.21,8011.414402 +Romania,1977,21658597,Europe,69.46,9356.39724 +Romania,1982,22356726,Europe,69.66,9605.314053 +Romania,1987,22686371,Europe,69.53,9696.273295 +Romania,1992,22797027,Europe,69.36,6598.409903 +Romania,1997,22562458,Europe,69.72,7346.547557 +Romania,2002,22404337,Europe,71.322,7885.360081 +Romania,2007,22276056,Europe,72.476,10808.47561 +Rwanda,1952,2534927,Africa,40,493.3238752 +Rwanda,1957,2822082,Africa,41.5,540.2893983 +Rwanda,1962,3051242,Africa,43,597.4730727 +Rwanda,1967,3451079,Africa,44.1,510.9637142 +Rwanda,1972,3992121,Africa,44.6,590.5806638 +Rwanda,1977,4657072,Africa,45,670.0806011 +Rwanda,1982,5507565,Africa,46.218,881.5706467 +Rwanda,1987,6349365,Africa,44.02,847.991217 +Rwanda,1992,7290203,Africa,23.599,737.0685949 +Rwanda,1997,7212583,Africa,36.087,589.9445051 +Rwanda,2002,7852401,Africa,43.413,785.6537648 +Rwanda,2007,8860588,Africa,46.242,863.0884639 +Sao Tome and Principe,1952,60011,Africa,46.471,879.5835855 +Sao Tome and Principe,1957,61325,Africa,48.945,860.7369026 +Sao Tome and Principe,1962,65345,Africa,51.893,1071.551119 +Sao Tome and Principe,1967,70787,Africa,54.425,1384.840593 +Sao Tome and Principe,1972,76595,Africa,56.48,1532.985254 +Sao Tome and Principe,1977,86796,Africa,58.55,1737.561657 +Sao Tome and Principe,1982,98593,Africa,60.351,1890.218117 +Sao Tome and Principe,1987,110812,Africa,61.728,1516.525457 +Sao Tome and Principe,1992,125911,Africa,62.742,1428.777814 +Sao Tome and Principe,1997,145608,Africa,63.306,1339.076036 +Sao Tome and Principe,2002,170372,Africa,64.337,1353.09239 +Sao Tome and Principe,2007,199579,Africa,65.528,1598.435089 +Saudi Arabia,1952,4005677,Asia,39.875,6459.554823 +Saudi Arabia,1957,4419650,Asia,42.868,8157.591248 +Saudi Arabia,1962,4943029,Asia,45.914,11626.41975 +Saudi Arabia,1967,5618198,Asia,49.901,16903.04886 +Saudi Arabia,1972,6472756,Asia,53.886,24837.42865 +Saudi Arabia,1977,8128505,Asia,58.69,34167.7626 +Saudi Arabia,1982,11254672,Asia,63.012,33693.17525 +Saudi Arabia,1987,14619745,Asia,66.295,21198.26136 +Saudi Arabia,1992,16945857,Asia,68.768,24841.61777 +Saudi Arabia,1997,21229759,Asia,70.533,20586.69019 +Saudi Arabia,2002,24501530,Asia,71.626,19014.54118 +Saudi Arabia,2007,27601038,Asia,72.777,21654.83194 +Senegal,1952,2755589,Africa,37.278,1450.356983 +Senegal,1957,3054547,Africa,39.329,1567.653006 +Senegal,1962,3430243,Africa,41.454,1654.988723 +Senegal,1967,3965841,Africa,43.563,1612.404632 +Senegal,1972,4588696,Africa,45.815,1597.712056 +Senegal,1977,5260855,Africa,48.879,1561.769116 +Senegal,1982,6147783,Africa,52.379,1518.479984 +Senegal,1987,7171347,Africa,55.769,1441.72072 +Senegal,1992,8307920,Africa,58.196,1367.899369 +Senegal,1997,9535314,Africa,60.187,1392.368347 +Senegal,2002,10870037,Africa,61.6,1519.635262 +Senegal,2007,12267493,Africa,63.062,1712.472136 +Serbia,1952,6860147,Europe,57.996,3581.459448 +Serbia,1957,7271135,Europe,61.685,4981.090891 +Serbia,1962,7616060,Europe,64.531,6289.629157 +Serbia,1967,7971222,Europe,66.914,7991.707066 +Serbia,1972,8313288,Europe,68.7,10522.06749 +Serbia,1977,8686367,Europe,70.3,12980.66956 +Serbia,1982,9032824,Europe,70.162,15181.0927 +Serbia,1987,9230783,Europe,71.218,15870.87851 +Serbia,1992,9826397,Europe,71.659,9325.068238 +Serbia,1997,10336594,Europe,72.232,7914.320304 +Serbia,2002,10111559,Europe,73.213,7236.075251 +Serbia,2007,10150265,Europe,74.002,9786.534714 +Sierra Leone,1952,2143249,Africa,30.331,879.7877358 +Sierra Leone,1957,2295678,Africa,31.57,1004.484437 +Sierra Leone,1962,2467895,Africa,32.767,1116.639877 +Sierra Leone,1967,2662190,Africa,34.113,1206.043465 +Sierra Leone,1972,2879013,Africa,35.4,1353.759762 +Sierra Leone,1977,3140897,Africa,36.788,1348.285159 +Sierra Leone,1982,3464522,Africa,38.445,1465.010784 +Sierra Leone,1987,3868905,Africa,40.006,1294.447788 +Sierra Leone,1992,4260884,Africa,38.333,1068.696278 +Sierra Leone,1997,4578212,Africa,39.897,574.6481576 +Sierra Leone,2002,5359092,Africa,41.012,699.489713 +Sierra Leone,2007,6144562,Africa,42.568,862.5407561 +Singapore,1952,1127000,Asia,60.396,2315.138227 +Singapore,1957,1445929,Asia,63.179,2843.104409 +Singapore,1962,1750200,Asia,65.798,3674.735572 +Singapore,1967,1977600,Asia,67.946,4977.41854 +Singapore,1972,2152400,Asia,69.521,8597.756202 +Singapore,1977,2325300,Asia,70.795,11210.08948 +Singapore,1982,2651869,Asia,71.76,15169.16112 +Singapore,1987,2794552,Asia,73.56,18861.53081 +Singapore,1992,3235865,Asia,75.788,24769.8912 +Singapore,1997,3802309,Asia,77.158,33519.4766 +Singapore,2002,4197776,Asia,78.77,36023.1054 +Singapore,2007,4553009,Asia,79.972,47143.17964 +Slovak Republic,1952,3558137,Europe,64.36,5074.659104 +Slovak Republic,1957,3844277,Europe,67.45,6093.26298 +Slovak Republic,1962,4237384,Europe,70.33,7481.107598 +Slovak Republic,1967,4442238,Europe,70.98,8412.902397 +Slovak Republic,1972,4593433,Europe,70.35,9674.167626 +Slovak Republic,1977,4827803,Europe,70.45,10922.66404 +Slovak Republic,1982,5048043,Europe,70.8,11348.54585 +Slovak Republic,1987,5199318,Europe,71.08,12037.26758 +Slovak Republic,1992,5302888,Europe,71.38,9498.467723 +Slovak Republic,1997,5383010,Europe,72.71,12126.23065 +Slovak Republic,2002,5410052,Europe,73.8,13638.77837 +Slovak Republic,2007,5447502,Europe,74.663,18678.31435 +Slovenia,1952,1489518,Europe,65.57,4215.041741 +Slovenia,1957,1533070,Europe,67.85,5862.276629 +Slovenia,1962,1582962,Europe,69.15,7402.303395 +Slovenia,1967,1646912,Europe,69.18,9405.489397 +Slovenia,1972,1694510,Europe,69.82,12383.4862 +Slovenia,1977,1746919,Europe,70.97,15277.03017 +Slovenia,1982,1861252,Europe,71.063,17866.72175 +Slovenia,1987,1945870,Europe,72.25,18678.53492 +Slovenia,1992,1999210,Europe,73.64,14214.71681 +Slovenia,1997,2011612,Europe,75.13,17161.10735 +Slovenia,2002,2011497,Europe,76.66,20660.01936 +Slovenia,2007,2009245,Europe,77.926,25768.25759 +Somalia,1952,2526994,Africa,32.978,1135.749842 +Somalia,1957,2780415,Africa,34.977,1258.147413 +Somalia,1962,3080153,Africa,36.981,1369.488336 +Somalia,1967,3428839,Africa,38.977,1284.73318 +Somalia,1972,3840161,Africa,40.973,1254.576127 +Somalia,1977,4353666,Africa,41.974,1450.992513 +Somalia,1982,5828892,Africa,42.955,1176.807031 +Somalia,1987,6921858,Africa,44.501,1093.244963 +Somalia,1992,6099799,Africa,39.658,926.9602964 +Somalia,1997,6633514,Africa,43.795,930.5964284 +Somalia,2002,7753310,Africa,45.936,882.0818218 +Somalia,2007,9118773,Africa,48.159,926.1410683 +South Africa,1952,14264935,Africa,45.009,4725.295531 +South Africa,1957,16151549,Africa,47.985,5487.104219 +South Africa,1962,18356657,Africa,49.951,5768.729717 +South Africa,1967,20997321,Africa,51.927,7114.477971 +South Africa,1972,23935810,Africa,53.696,7765.962636 +South Africa,1977,27129932,Africa,55.527,8028.651439 +South Africa,1982,31140029,Africa,58.161,8568.266228 +South Africa,1987,35933379,Africa,60.834,7825.823398 +South Africa,1992,39964159,Africa,61.888,7225.069258 +South Africa,1997,42835005,Africa,60.236,7479.188244 +South Africa,2002,44433622,Africa,53.365,7710.946444 +South Africa,2007,43997828,Africa,49.339,9269.657808 +Spain,1952,28549870,Europe,64.94,3834.034742 +Spain,1957,29841614,Europe,66.66,4564.80241 +Spain,1962,31158061,Europe,69.69,5693.843879 +Spain,1967,32850275,Europe,71.44,7993.512294 +Spain,1972,34513161,Europe,73.06,10638.75131 +Spain,1977,36439000,Europe,74.39,13236.92117 +Spain,1982,37983310,Europe,76.3,13926.16997 +Spain,1987,38880702,Europe,76.9,15764.98313 +Spain,1992,39549438,Europe,77.57,18603.06452 +Spain,1997,39855442,Europe,78.77,20445.29896 +Spain,2002,40152517,Europe,79.78,24835.47166 +Spain,2007,40448191,Europe,80.941,28821.0637 +Sri Lanka,1952,7982342,Asia,57.593,1083.53203 +Sri Lanka,1957,9128546,Asia,61.456,1072.546602 +Sri Lanka,1962,10421936,Asia,62.192,1074.47196 +Sri Lanka,1967,11737396,Asia,64.266,1135.514326 +Sri Lanka,1972,13016733,Asia,65.042,1213.39553 +Sri Lanka,1977,14116836,Asia,65.949,1348.775651 +Sri Lanka,1982,15410151,Asia,68.757,1648.079789 +Sri Lanka,1987,16495304,Asia,69.011,1876.766827 +Sri Lanka,1992,17587060,Asia,70.379,2153.739222 +Sri Lanka,1997,18698655,Asia,70.457,2664.477257 +Sri Lanka,2002,19576783,Asia,70.815,3015.378833 +Sri Lanka,2007,20378239,Asia,72.396,3970.095407 +Sudan,1952,8504667,Africa,38.635,1615.991129 +Sudan,1957,9753392,Africa,39.624,1770.337074 +Sudan,1962,11183227,Africa,40.87,1959.593767 +Sudan,1967,12716129,Africa,42.858,1687.997641 +Sudan,1972,14597019,Africa,45.083,1659.652775 +Sudan,1977,17104986,Africa,47.8,2202.988423 +Sudan,1982,20367053,Africa,50.338,1895.544073 +Sudan,1987,24725960,Africa,51.744,1507.819159 +Sudan,1992,28227588,Africa,53.556,1492.197043 +Sudan,1997,32160729,Africa,55.373,1632.210764 +Sudan,2002,37090298,Africa,56.369,1993.398314 +Sudan,2007,42292929,Africa,58.556,2602.394995 +Swaziland,1952,290243,Africa,41.407,1148.376626 +Swaziland,1957,326741,Africa,43.424,1244.708364 +Swaziland,1962,370006,Africa,44.992,1856.182125 +Swaziland,1967,420690,Africa,46.633,2613.101665 +Swaziland,1972,480105,Africa,49.552,3364.836625 +Swaziland,1977,551425,Africa,52.537,3781.410618 +Swaziland,1982,649901,Africa,55.561,3895.384018 +Swaziland,1987,779348,Africa,57.678,3984.839812 +Swaziland,1992,962344,Africa,58.474,3553.0224 +Swaziland,1997,1054486,Africa,54.289,3876.76846 +Swaziland,2002,1130269,Africa,43.869,4128.116943 +Swaziland,2007,1133066,Africa,39.613,4513.480643 +Sweden,1952,7124673,Europe,71.86,8527.844662 +Sweden,1957,7363802,Europe,72.49,9911.878226 +Sweden,1962,7561588,Europe,73.37,12329.44192 +Sweden,1967,7867931,Europe,74.16,15258.29697 +Sweden,1972,8122293,Europe,74.72,17832.02464 +Sweden,1977,8251648,Europe,75.44,18855.72521 +Sweden,1982,8325260,Europe,76.42,20667.38125 +Sweden,1987,8421403,Europe,77.19,23586.92927 +Sweden,1992,8718867,Europe,78.16,23880.01683 +Sweden,1997,8897619,Europe,79.39,25266.59499 +Sweden,2002,8954175,Europe,80.04,29341.63093 +Sweden,2007,9031088,Europe,80.884,33859.74835 +Switzerland,1952,4815000,Europe,69.62,14734.23275 +Switzerland,1957,5126000,Europe,70.56,17909.48973 +Switzerland,1962,5666000,Europe,71.32,20431.0927 +Switzerland,1967,6063000,Europe,72.77,22966.14432 +Switzerland,1972,6401400,Europe,73.78,27195.11304 +Switzerland,1977,6316424,Europe,75.39,26982.29052 +Switzerland,1982,6468126,Europe,76.21,28397.71512 +Switzerland,1987,6649942,Europe,77.41,30281.70459 +Switzerland,1992,6995447,Europe,78.03,31871.5303 +Switzerland,1997,7193761,Europe,79.37,32135.32301 +Switzerland,2002,7361757,Europe,80.62,34480.95771 +Switzerland,2007,7554661,Europe,81.701,37506.41907 +Syria,1952,3661549,Asia,45.883,1643.485354 +Syria,1957,4149908,Asia,48.284,2117.234893 +Syria,1962,4834621,Asia,50.305,2193.037133 +Syria,1967,5680812,Asia,53.655,1881.923632 +Syria,1972,6701172,Asia,57.296,2571.423014 +Syria,1977,7932503,Asia,61.195,3195.484582 +Syria,1982,9410494,Asia,64.59,3761.837715 +Syria,1987,11242847,Asia,66.974,3116.774285 +Syria,1992,13219062,Asia,69.249,3340.542768 +Syria,1997,15081016,Asia,71.527,4014.238972 +Syria,2002,17155814,Asia,73.053,4090.925331 +Syria,2007,19314747,Asia,74.143,4184.548089 +Taiwan,1952,8550362,Asia,58.5,1206.947913 +Taiwan,1957,10164215,Asia,62.4,1507.86129 +Taiwan,1962,11918938,Asia,65.2,1822.879028 +Taiwan,1967,13648692,Asia,67.5,2643.858681 +Taiwan,1972,15226039,Asia,69.39,4062.523897 +Taiwan,1977,16785196,Asia,70.59,5596.519826 +Taiwan,1982,18501390,Asia,72.16,7426.354774 +Taiwan,1987,19757799,Asia,73.4,11054.56175 +Taiwan,1992,20686918,Asia,74.26,15215.6579 +Taiwan,1997,21628605,Asia,75.25,20206.82098 +Taiwan,2002,22454239,Asia,76.99,23235.42329 +Taiwan,2007,23174294,Asia,78.4,28718.27684 +Tanzania,1952,8322925,Africa,41.215,716.6500721 +Tanzania,1957,9452826,Africa,42.974,698.5356073 +Tanzania,1962,10863958,Africa,44.246,722.0038073 +Tanzania,1967,12607312,Africa,45.757,848.2186575 +Tanzania,1972,14706593,Africa,47.62,915.9850592 +Tanzania,1977,17129565,Africa,49.919,962.4922932 +Tanzania,1982,19844382,Africa,50.608,874.2426069 +Tanzania,1987,23040630,Africa,51.535,831.8220794 +Tanzania,1992,26605473,Africa,50.44,825.682454 +Tanzania,1997,30686889,Africa,48.466,789.1862231 +Tanzania,2002,34593779,Africa,49.651,899.0742111 +Tanzania,2007,38139640,Africa,52.517,1107.482182 +Thailand,1952,21289402,Asia,50.848,757.7974177 +Thailand,1957,25041917,Asia,53.63,793.5774148 +Thailand,1962,29263397,Asia,56.061,1002.199172 +Thailand,1967,34024249,Asia,58.285,1295.46066 +Thailand,1972,39276153,Asia,60.405,1524.358936 +Thailand,1977,44148285,Asia,62.494,1961.224635 +Thailand,1982,48827160,Asia,64.597,2393.219781 +Thailand,1987,52910342,Asia,66.084,2982.653773 +Thailand,1992,56667095,Asia,67.298,4616.896545 +Thailand,1997,60216677,Asia,67.521,5852.625497 +Thailand,2002,62806748,Asia,68.564,5913.187529 +Thailand,2007,65068149,Asia,70.616,7458.396327 +Togo,1952,1219113,Africa,38.596,859.8086567 +Togo,1957,1357445,Africa,41.208,925.9083202 +Togo,1962,1528098,Africa,43.922,1067.53481 +Togo,1967,1735550,Africa,46.769,1477.59676 +Togo,1972,2056351,Africa,49.759,1649.660188 +Togo,1977,2308582,Africa,52.887,1532.776998 +Togo,1982,2644765,Africa,55.471,1344.577953 +Togo,1987,3154264,Africa,56.941,1202.201361 +Togo,1992,3747553,Africa,58.061,1034.298904 +Togo,1997,4320890,Africa,58.39,982.2869243 +Togo,2002,4977378,Africa,57.561,886.2205765 +Togo,2007,5701579,Africa,58.42,882.9699438 +Trinidad and Tobago,1952,662850,Americas,59.1,3023.271928 +Trinidad and Tobago,1957,764900,Americas,61.8,4100.3934 +Trinidad and Tobago,1962,887498,Americas,64.9,4997.523971 +Trinidad and Tobago,1967,960155,Americas,65.4,5621.368472 +Trinidad and Tobago,1972,975199,Americas,65.9,6619.551419 +Trinidad and Tobago,1977,1039009,Americas,68.3,7899.554209 +Trinidad and Tobago,1982,1116479,Americas,68.832,9119.528607 +Trinidad and Tobago,1987,1191336,Americas,69.582,7388.597823 +Trinidad and Tobago,1992,1183669,Americas,69.862,7370.990932 +Trinidad and Tobago,1997,1138101,Americas,69.465,8792.573126 +Trinidad and Tobago,2002,1101832,Americas,68.976,11460.60023 +Trinidad and Tobago,2007,1056608,Americas,69.819,18008.50924 +Tunisia,1952,3647735,Africa,44.6,1468.475631 +Tunisia,1957,3950849,Africa,47.1,1395.232468 +Tunisia,1962,4286552,Africa,49.579,1660.30321 +Tunisia,1967,4786986,Africa,52.053,1932.360167 +Tunisia,1972,5303507,Africa,55.602,2753.285994 +Tunisia,1977,6005061,Africa,59.837,3120.876811 +Tunisia,1982,6734098,Africa,64.048,3560.233174 +Tunisia,1987,7724976,Africa,66.894,3810.419296 +Tunisia,1992,8523077,Africa,70.001,4332.720164 +Tunisia,1997,9231669,Africa,71.973,4876.798614 +Tunisia,2002,9770575,Africa,73.042,5722.895655 +Tunisia,2007,10276158,Africa,73.923,7092.923025 +Turkey,1952,22235677,Europe,43.585,1969.10098 +Turkey,1957,25670939,Europe,48.079,2218.754257 +Turkey,1962,29788695,Europe,52.098,2322.869908 +Turkey,1967,33411317,Europe,54.336,2826.356387 +Turkey,1972,37492953,Europe,57.005,3450.69638 +Turkey,1977,42404033,Europe,59.507,4269.122326 +Turkey,1982,47328791,Europe,61.036,4241.356344 +Turkey,1987,52881328,Europe,63.108,5089.043686 +Turkey,1992,58179144,Europe,66.146,5678.348271 +Turkey,1997,63047647,Europe,68.835,6601.429915 +Turkey,2002,67308928,Europe,70.845,6508.085718 +Turkey,2007,71158647,Europe,71.777,8458.276384 +Uganda,1952,5824797,Africa,39.978,734.753484 +Uganda,1957,6675501,Africa,42.571,774.3710692 +Uganda,1962,7688797,Africa,45.344,767.2717398 +Uganda,1967,8900294,Africa,48.051,908.9185217 +Uganda,1972,10190285,Africa,51.016,950.735869 +Uganda,1977,11457758,Africa,50.35,843.7331372 +Uganda,1982,12939400,Africa,49.849,682.2662268 +Uganda,1987,15283050,Africa,51.509,617.7244065 +Uganda,1992,18252190,Africa,48.825,644.1707969 +Uganda,1997,21210254,Africa,44.578,816.559081 +Uganda,2002,24739869,Africa,47.813,927.7210018 +Uganda,2007,29170398,Africa,51.542,1056.380121 +United Kingdom,1952,50430000,Europe,69.18,9979.508487 +United Kingdom,1957,51430000,Europe,70.42,11283.17795 +United Kingdom,1962,53292000,Europe,70.76,12477.17707 +United Kingdom,1967,54959000,Europe,71.36,14142.85089 +United Kingdom,1972,56079000,Europe,72.01,15895.11641 +United Kingdom,1977,56179000,Europe,72.76,17428.74846 +United Kingdom,1982,56339704,Europe,74.04,18232.42452 +United Kingdom,1987,56981620,Europe,75.007,21664.78767 +United Kingdom,1992,57866349,Europe,76.42,22705.09254 +United Kingdom,1997,58808266,Europe,77.218,26074.53136 +United Kingdom,2002,59912431,Europe,78.471,29478.99919 +United Kingdom,2007,60776238,Europe,79.425,33203.26128 +United States,1952,157553000,Americas,68.44,13990.48208 +United States,1957,171984000,Americas,69.49,14847.12712 +United States,1962,186538000,Americas,70.21,16173.14586 +United States,1967,198712000,Americas,70.76,19530.36557 +United States,1972,209896000,Americas,71.34,21806.03594 +United States,1977,220239000,Americas,73.38,24072.63213 +United States,1982,232187835,Americas,74.65,25009.55914 +United States,1987,242803533,Americas,75.02,29884.35041 +United States,1992,256894189,Americas,76.09,32003.93224 +United States,1997,272911760,Americas,76.81,35767.43303 +United States,2002,287675526,Americas,77.31,39097.09955 +United States,2007,301139947,Americas,78.242,42951.65309 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+Venezuela,1987,17910182,Americas,70.19,9883.584648 +Venezuela,1992,20265563,Americas,71.15,10733.92631 +Venezuela,1997,22374398,Americas,72.146,10165.49518 +Venezuela,2002,24287670,Americas,72.766,8605.047831 +Venezuela,2007,26084662,Americas,73.747,11415.80569 +Vietnam,1952,26246839,Asia,40.412,605.0664917 +Vietnam,1957,28998543,Asia,42.887,676.2854478 +Vietnam,1962,33796140,Asia,45.363,772.0491602 +Vietnam,1967,39463910,Asia,47.838,637.1232887 +Vietnam,1972,44655014,Asia,50.254,699.5016441 +Vietnam,1977,50533506,Asia,55.764,713.5371196 +Vietnam,1982,56142181,Asia,58.816,707.2357863 +Vietnam,1987,62826491,Asia,62.82,820.7994449 +Vietnam,1992,69940728,Asia,67.662,989.0231487 +Vietnam,1997,76048996,Asia,70.672,1385.896769 +Vietnam,2002,80908147,Asia,73.017,1764.456677 +Vietnam,2007,85262356,Asia,74.249,2441.576404 +West Bank and Gaza,1952,1030585,Asia,43.16,1515.592329 +West Bank and Gaza,1957,1070439,Asia,45.671,1827.067742 +West Bank and Gaza,1962,1133134,Asia,48.127,2198.956312 +West Bank and Gaza,1967,1142636,Asia,51.631,2649.715007 +West Bank and Gaza,1972,1089572,Asia,56.532,3133.409277 +West Bank and Gaza,1977,1261091,Asia,60.765,3682.831494 +West Bank and Gaza,1982,1425876,Asia,64.406,4336.032082 +West Bank and Gaza,1987,1691210,Asia,67.046,5107.197384 +West Bank and Gaza,1992,2104779,Asia,69.718,6017.654756 +West Bank and Gaza,1997,2826046,Asia,71.096,7110.667619 +West Bank and Gaza,2002,3389578,Asia,72.37,4515.487575 +West Bank and Gaza,2007,4018332,Asia,73.422,3025.349798 +Yemen Rep.,1952,4963829,Asia,32.548,781.7175761 +Yemen Rep.,1957,5498090,Asia,33.97,804.8304547 +Yemen Rep.,1962,6120081,Asia,35.18,825.6232006 +Yemen Rep.,1967,6740785,Asia,36.984,862.4421463 +Yemen Rep.,1972,7407075,Asia,39.848,1265.047031 +Yemen Rep.,1977,8403990,Asia,44.175,1829.765177 +Yemen Rep.,1982,9657618,Asia,49.113,1977.55701 +Yemen Rep.,1987,11219340,Asia,52.922,1971.741538 +Yemen Rep.,1992,13367997,Asia,55.599,1879.496673 +Yemen Rep.,1997,15826497,Asia,58.02,2117.484526 +Yemen Rep.,2002,18701257,Asia,60.308,2234.820827 +Yemen Rep.,2007,22211743,Asia,62.698,2280.769906 +Zambia,1952,2672000,Africa,42.038,1147.388831 +Zambia,1957,3016000,Africa,44.077,1311.956766 +Zambia,1962,3421000,Africa,46.023,1452.725766 +Zambia,1967,3900000,Africa,47.768,1777.077318 +Zambia,1972,4506497,Africa,50.107,1773.498265 +Zambia,1977,5216550,Africa,51.386,1588.688299 +Zambia,1982,6100407,Africa,51.821,1408.678565 +Zambia,1987,7272406,Africa,50.821,1213.315116 +Zambia,1992,8381163,Africa,46.1,1210.884633 +Zambia,1997,9417789,Africa,40.238,1071.353818 +Zambia,2002,10595811,Africa,39.193,1071.613938 +Zambia,2007,11746035,Africa,42.384,1271.211593 +Zimbabwe,1952,3080907,Africa,48.451,406.8841148 +Zimbabwe,1957,3646340,Africa,50.469,518.7642681 +Zimbabwe,1962,4277736,Africa,52.358,527.2721818 +Zimbabwe,1967,4995432,Africa,53.995,569.7950712 +Zimbabwe,1972,5861135,Africa,55.635,799.3621758 +Zimbabwe,1977,6642107,Africa,57.674,685.5876821 +Zimbabwe,1982,7636524,Africa,60.363,788.8550411 +Zimbabwe,1987,9216418,Africa,62.351,706.1573059 +Zimbabwe,1992,10704340,Africa,60.377,693.4207856 +Zimbabwe,1997,11404948,Africa,46.809,792.4499603 +Zimbabwe,2002,11926563,Africa,39.989,672.0386227 +Zimbabwe,2007,12311143,Africa,43.487,469.7092981 diff --git a/data/gapminder_wide.csv b/data/gapminder_wide.csv new file mode 100644 index 0000000..6824ead --- /dev/null +++ b/data/gapminder_wide.csv @@ -0,0 +1,143 @@ 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+"Oceania","Australia",10039.59564,10949.64959,12217.22686,14526.12465,16788.62948,18334.19751,19477.00928,21888.88903,23424.76683,26997.93657,30687.75473,34435.36744,69.12,70.33,70.93,71.1,71.93,73.49,74.74,76.32,77.56,78.83,80.37,81.235,8691212,9712569,10794968,11872264,13177000,14074100,15184200,16257249,17481977,18565243,19546792,20434176 +"Oceania","New Zealand",10556.57566,12247.39532,13175.678,14463.91893,16046.03728,16233.7177,17632.4104,19007.19129,18363.32494,21050.41377,23189.80135,25185.00911,69.39,70.26,71.24,71.52,71.89,72.22,73.84,74.32,76.33,77.55,79.11,80.204,1994794,2229407,2488550,2728150,2929100,3164900,3210650,3317166,3437674,3676187,3908037,4115771 diff --git a/data/meow.csv b/data/meow.csv new file mode 100644 index 0000000..b63dece --- /dev/null +++ b/data/meow.csv @@ -0,0 +1,4 @@ +"","coat","weight","likes_string" +"1","calico",2.1,1 +"2","black",5,0 +"3","tabby",3.4,1 diff --git a/data/results.csv b/data/results.csv new file mode 100644 index 0000000..e5ff259 --- /dev/null +++ b/data/results.csv @@ -0,0 +1,13 @@ +"","country","continent","year","lifeExp","pop","gdpPercap","gdp" +"1","Afghanistan","Asia",1952,28.801,8425333,779.4453145,6567086329.95223 +"2","Afghanistan","Asia",1957,30.332,9240934,820.8530296,7585448670.23365 +"3","Afghanistan","Asia",1962,31.997,10267083,853.10071,8758855796.92893 +"4","Afghanistan","Asia",1967,34.02,11537966,836.1971382,9648014149.8489 +"5","Afghanistan","Asia",1972,36.088,13079460,739.9811058,9678553274.06687 +"6","Afghanistan","Asia",1977,38.438,14880372,786.11336,11697659230.9699 +"7","Afghanistan","Asia",1982,39.854,12881816,978.0114388,12598563400.5169 +"8","Afghanistan","Asia",1987,40.822,13867957,852.3959448,11820990309.4608 +"9","Afghanistan","Asia",1992,41.674,16317921,649.3413952,10595901588.9034 +"10","Afghanistan","Asia",1997,41.763,22227415,635.341351,14121995875.3377 +"11","Afghanistan","Asia",2002,42.129,25268405,726.7340548,18363410423.9786 +"12","Afghanistan","Asia",2007,43.828,31889923,974.5803384,31079291948.8899 diff --git a/dplyr_tidyr.Rmd b/dplyr_tidyr.Rmd new file mode 100644 index 0000000..2fac158 --- /dev/null +++ b/dplyr_tidyr.Rmd @@ -0,0 +1,213 @@ +--- +title: "R Notebook" +output: html_notebook +--- + + +```{r} +library(dplyr) +library(gapminder) +data("gapminder") +attach(gapminder) + +head(gapminder) +``` +Gapminder data loaded. Next: manipulation. +```{r} +# Shortening variable name and removing old variable. +gap <- gapminder +rm(gapminder) + +mean.gdp.africa <- mean(gap$gdpPercap[continent == "Africa"]) +mean.gdp.africa +mean.gdp.asia <- mean(gap$gdpPercap[continent == "Asia"]) +mean.gdp.asia +mean.gdp.americas <- mean(gap$gdpPercap[continent == "Americas"]) +mean.gdp.americas + +#mean(gap[gap$continent == "Africa", "gdpPercap"]) + +``` + +### Working with data using dplyr +select() - subset variables (columns) +filter() - subset observations (rows) +group_by() - counts and groups data +summarize() - useful information about data +mutate() - add a new column based on the data + +dplyr introduces a new operator called a pipe: %>% + +select: +```{r} +ncol(gap) # returns 6 +names(gap) # retuns column names +subset_gap <- gap %>% select(year, country, gdpPercap) +subset_gap +``` + +filter: +```{r} +# Note that it may be easier to read from the bottom up +yr_country_gdp_euro <- gap %>% # save into new variable + filter(continent == "Europe") %>% # which rows we want + select(year, country, gdpPercap) # which columns we want +yr_country_gdp_euro + +lifeExp_africa_07 <- gap %>% + filter(continent == "Africa", year == 2007) %>% + select(year, country, lifeExp) +dim(lifeExp_africa_07) +``` + +group_by() - subset data frame +Turns a single data frame into a set of data frames based on some variable +```{r} +head(gap) +str(gap) + +gap_by_continent <- gap %>% group_by(continent) +head(gap_by_continent) +str(gap_by_continent) + +gdp_by_continent <- gap_by_continent %>% + summarize(mean_gdpPercap = mean(gdpPercap)) +``` + +Exercise +```{r} +# Avg life expectancy across all african countris by year. In how many years did avg life expectancy decrease? + +african_le_yrs <- gap %>% + filter(continent == "Africa") %>% + group_by(year) %>% + summarize(avg_life = mean(lifeExp)) +View(african_le_yrs) + +life_exp_dec = 0 +nyears <- nrow(african_le_yrs) +nyears <- nyears - 1 +for (row in 1:nyears) { + exp_this_yr = african_le_yrs[row, 2] + exp_next_yr = african_le_yrs[row + 1, 2] + if ( exp_next_yr < exp_this_yr ) { + life_exp_dec <- life_exp_dec + 1 + } +} + +print(life_exp_dec) +``` + +Calculate average life expectancy per country. Which has the longest and shortest average life expectancy? + +```{r} +le_by_country <- gap %>% + group_by(country) %>% + summarize(avg_le = mean(lifeExp)) + +le_by_country %>% filter(avg_le == min(avg_le)) +le_by_country %>% filter(avg_le == max(avg_le)) +``` + +mutate() is a function in dplyr that lets you add a column to a dataframe based on the data. +```{r} +bill_gdp <- gap %>% + filter(year == 2007) %>% + mutate(billion_gdp = gdpPercap * pop / 10^9) %>% + select(country, continent, billion_gdp) + +colnames(bill_gdp) +dim(bill_gdp) +``` + +Many of these functions can handle several arguments at once + +```{r} +gdp_by_continent <- gap %>% + group_by(continent, year) %>% + summarize(mean_gdp = mean(gdpPercap), + sd_gdp = sd(gdpPercap), + mean_pop = mean(pop), + sample_size = n(), # n() counts sample size of the vars grouped by + se_gdp = sd_gdp / sqrt(sample_size)) + +#View(gdp_by_continent) + +str(gdp_by_continent) +``` + +use function data.frame() to recombine data frames created by group_by back into a single data frame. Function ungroup() works the same way +```{r} +gdp_by_continent <- data.frame(gdp_by_continent) +gdp_by_continent <- ungroup(gdp_by_continent) +str(gdp_by_continent) +``` + +### Combining dplyr with ggplot2 +```{r} +library(ggplot2) + +gap %>% filter(continent == "Asia") %>% + ggplot(aes(x = gdpPercap, y = lifeExp)) + + geom_point() +``` + +Wide and Long +```{r} +gap_wide <- read.csv("data/gapminder_wide.csv", stringsAsFactors = FALSE) +dim(gap_wide) +colnames(gap_wide) +``` + +This data is in a wide format. We want it to be in a long format. + +```{r} +head(gap_wide) + +# To make the data long, we are going to use gather() +gap_long <- gap_wide %>% + gather(obstype_year, obs_values, -continent, -country) # minus continent/country because we want to keep those where they are + +dim(gap_long) + +# The way this is formatted will make filtering by year really hard. +# Use separate to pull year out +gap_long <- gap_long %>% + separate(obstype_year, into = c("obs_type", "year"), sep = "_") +head(gap_long) + +# transform years into integers instead of strings +gap_long$year <- as.integer(gap_long$year) +head(gap_long) +``` + +```{r} +gap_long %>% + group_by(continent) %>% + filter(obs_type == "lifeExp") %>% + summarize(avg_life_exp=mean(obs_values)) +``` + +Opposite of gather is spread + +```{r} +str(gap_long) +gap_normal <- gap_long %>% spread(obs_type, obs_values) +str(gap_normal) +colnames(gap_normal) +colnames(gap) + +# rearrange column names +gap_normal <- gap_normal[, names(gap)] +colnames(gap_normal) + +# all equal +all.equal(gap, gap_normal) # not the same; different data types +``` +```{r} +gap_normal <- gap_normal %>% + s +str(gap_normal) +str(gap) +``` + diff --git a/dplyr_tidyr.nb.html b/dplyr_tidyr.nb.html new file mode 100644 index 0000000..b292b1e --- /dev/null +++ b/dplyr_tidyr.nb.html @@ -0,0 +1,640 @@ + + + + + + + + + + + + + +R Notebook + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + +

Gapminder data loaded. Next: manipulation.

+ + + +
# Shortening variable name and removing old variable.
+gap <- gapminder
+rm(gapminder)
+ + +
object 'gapminder' not found
+ + +
mean.gdp.africa <- mean(gap$gdpPercap[continent == "Africa"])
+mean.gdp.africa
+ + +
[1] 2193.755
+ + +
mean.gdp.asia <- mean(gap$gdpPercap[continent == "Asia"])
+mean.gdp.asia
+ + +
[1] 7902.15
+ + +
mean.gdp.americas <- mean(gap$gdpPercap[continent == "Americas"])
+mean.gdp.americas
+ + +
[1] 7136.11
+ + +
#mean(gap[gap$continent == "Africa", "gdpPercap"])
+ + + +
+

Working with data using dplyr

+

select() - subset variables (columns) filter() - subset observations (rows) group_by() - counts and groups data summarize() - useful information about data mutate() - add a new column based on the data

+

dplyr introduces a new operator called a pipe: %>%

+

select:

+ + + +
+ +
+ + + +

filter:

+ + + +
# Note that it may be easier to 
+yr_country_gdp_euro <- gap %>%       # save into new variable
+  filter(continent == "Europe") %>%  # which rows we want
+  select(year, country, gdpPercap)   # which columns we want
+yr_country_gdp_euro
+ + +
+ +
+ + +
lifeExp_africa_07 <- gap %>%
+  filter(continent == "Africa", year == 2007) %>%
+  select(year, country, lifeExp)
+dim(lifeExp_africa_07)
+ + +
[1] 52  3
+ + + +

group_by() - subset data frame Turns a single data frame into a set of data frames based on some variable

+ + + +
gdp_by_continent <- gap_by_continent %>%
+
+ + +
Error: unexpected symbol in:
+"  summarize(mean_gdpPercap=mean(gdpPercap)
+gdp_by_continent"
+ + + +

Exercise

+ + + +
life_exp_dec = 0
+nyears <- nrow(african_le_yrs)
+nyears <- nyears - 1
+for (row in 1:nyears) {
+  exp_this_yr = african_le_yrs[row, 2]
+  exp_next_yr = african_le_yrs[row + 1, 2]
+  if ( exp_next_yr < exp_this_yr ) {
+    life_exp_dec <- life_exp_dec + 1
+  }
+}
+print(life_exp_dec)
+
+ + +
[1] 2
+ + + +

Calculate average life expectancy per country. Which has the longest and shortest average life expectancy?

+ + + +
le_by_country <- gap %>%
+  group_by(country) %>%
+  summarize(avg_le = mean(lifeExp))
+print("Shortest Life Expectancy: ")
+ + +
[1] "Shortest Life Expectancy: "
+ + +
print(le_by_country %>% filter(avg_le == min(avg_le)))
+ + +
+ +
+ + +
print("Longest Life Expectancy: ")
+ + +
[1] "Longest Life Expectancy: "
+ + +
print(le_by_country %>% filter(avg_le == max(avg_le)))
+ + +
+ +
+ + + +

mutate() is a function in dplyr that lets you add a column to a dataframe based on the data.

+ + + +
dim(bill_gdp)
+
+ + +
[1] 142   3
+ + + +

Many of these functions can handle several arguments at once

+ + + +
gdp_by_continent <- gap %>% 
+  group_by(continent, year) %>%
+  summarize(mean_gdp = mean(gdpPercap), 
+            sd_gdp = sd(gdpPercap), 
+            mean_pop = mean(pop),
+            sample_size = n(),  # n() counts sample size of the vars grouped by
+            se_gdp = sd_gdp / sqrt(sample_size))
+View(gdp_by_continent)
+str(gdp_by_continent)
+ + +
Classes ‘grouped_df’, ‘tbl_df’, ‘tbl’ and 'data.frame': 60 obs. of  7 variables:
+ $ continent  : Factor w/ 5 levels "Africa","Americas",..: 1 1 1 1 1 1 1 1 1 1 ...
+ $ year       : int  1952 1957 1962 1967 1972 1977 1982 1987 1992 1997 ...
+ $ mean_gdp   : num  1253 1385 1598 2050 2340 ...
+ $ sd_gdp     : num  983 1135 1462 2848 3287 ...
+ $ mean_pop   : num  4570010 5093033 5702247 6447875 7305376 ...
+ $ sample_size: int  52 52 52 52 52 52 52 52 52 52 ...
+ $ se_gdp     : num  136 157 203 395 456 ...
+ - attr(*, "vars")= chr "continent"
+ - attr(*, "drop")= logi TRUE
+ + + +

use function data.frame() to recombine data frames created by group_by back into a single data frame. Function ungroup() works the same way

+ + + +
str(gdp_by_continent)
+
+ + +
Classes ‘tbl_df’, ‘tbl’ and 'data.frame':   60 obs. of  7 variables:
+ $ continent  : Factor w/ 5 levels "Africa","Americas",..: 1 1 1 1 1 1 1 1 1 1 ...
+ $ year       : int  1952 1957 1962 1967 1972 1977 1982 1987 1992 1997 ...
+ $ mean_gdp   : num  1253 1385 1598 2050 2340 ...
+ $ sd_gdp     : num  983 1135 1462 2848 3287 ...
+ $ mean_pop   : num  4570010 5093033 5702247 6447875 7305376 ...
+ $ sample_size: int  52 52 52 52 52 52 52 52 52 52 ...
+ $ se_gdp     : num  136 157 203 395 456 ...
+ + + +
+
+

Combining dplyr with ggplot2

+ + + +

+ + + +

Wide and Long

+ + + +
colnames(gap_wide)
+
+ + +
 [1] "continent"      "country"        "gdpPercap_1952" "gdpPercap_1957"
+ [5] "gdpPercap_1962" "gdpPercap_1967" "gdpPercap_1972" "gdpPercap_1977"
+ [9] "gdpPercap_1982" "gdpPercap_1987" "gdpPercap_1992" "gdpPercap_1997"
+[13] "gdpPercap_2002" "gdpPercap_2007" "lifeExp_1952"   "lifeExp_1957"  
+[17] "lifeExp_1962"   "lifeExp_1967"   "lifeExp_1972"   "lifeExp_1977"  
+[21] "lifeExp_1982"   "lifeExp_1987"   "lifeExp_1992"   "lifeExp_1997"  
+[25] "lifeExp_2002"   "lifeExp_2007"   "pop_1952"       "pop_1957"      
+[29] "pop_1962"       "pop_1967"       "pop_1972"       "pop_1977"      
+[33] "pop_1982"       "pop_1987"       "pop_1992"       "pop_1997"      
+[37] "pop_2002"       "pop_2007"
+ + + +

This data is in a wide format. We want it to be in a long format.

+ + + +
+ +
+ + + + + + +
+ +
+ + + +

Opposite of gather is spread

+ + + +
str(gap_long)
+ + +
'data.frame':   5112 obs. of  5 variables:
+ $ continent : chr  "Africa" "Africa" "Africa" "Africa" ...
+ $ country   : chr  "Algeria" "Angola" "Benin" "Botswana" ...
+ $ obs_type  : chr  "gdpPercap" "gdpPercap" "gdpPercap" "gdpPercap" ...
+ $ year      : int  1952 1952 1952 1952 1952 1952 1952 1952 1952 1952 ...
+ $ obs_values: num  2449 3521 1063 851 543 ...
+ + +
gap_normal <- gap_long %>% spread(obs_type, obs_values)
+str(gap_normal)
+ + +
'data.frame':   1704 obs. of  6 variables:
+ $ continent: chr  "Africa" "Africa" "Africa" "Africa" ...
+ $ country  : chr  "Algeria" "Algeria" "Algeria" "Algeria" ...
+ $ year     : int  1952 1957 1962 1967 1972 1977 1982 1987 1992 1997 ...
+ $ gdpPercap: num  2449 3014 2551 3247 4183 ...
+ $ lifeExp  : num  43.1 45.7 48.3 51.4 54.5 ...
+ $ pop      : num  9279525 10270856 11000948 12760499 14760787 ...
+ + +
colnames(gap_normal)
+ + +
[1] "continent" "country"   "year"      "gdpPercap" "lifeExp"   "pop"
+ + +
colnames(gap)
+ + +
[1] "country"   "continent" "year"      "lifeExp"   "pop"       "gdpPercap"
+ + +
# rearrange column names
+gap_normal <- gap_normal[, names(gap)]
+colnames(gap_normal)
+ + +
[1] "country"   "continent" "year"      "lifeExp"   "pop"       "gdpPercap"
+ + +
# all equal
+all.equal(gap, gap_normal) # not the same; different data types
+ + +
[1] "Incompatible type for column `country`: x factor, y character"  
+[2] "Incompatible type for column `continent`: x factor, y character"
+[3] "Incompatible type for column `pop`: x integer, y numeric"
+ + + + +
str(gap)
+
+ + +
Classes ‘tbl_df’, ‘tbl’ and 'data.frame':   1704 obs. of  6 variables:
+ $ country  : Factor w/ 142 levels "Afghanistan",..: 1 1 1 1 1 1 1 1 1 1 ...
+ $ continent: Factor w/ 5 levels "Africa","Americas",..: 3 3 3 3 3 3 3 3 3 3 ...
+ $ year     : int  1952 1957 1962 1967 1972 1977 1982 1987 1992 1997 ...
+ $ lifeExp  : num  28.8 30.3 32 34 36.1 ...
+ $ pop      : int  8425333 9240934 10267083 11537966 13079460 14880372 12881816 13867957 16317921 22227415 ...
+ $ gdpPercap: num  779 821 853 836 740 ...
+ + + + +
+ +
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