From 365f467dd18568b933959aba3fe6a26b9a6d35e0 Mon Sep 17 00:00:00 2001 From: Albert Fung Date: Wed, 28 Oct 2020 23:24:27 -0400 Subject: [PATCH 01/11] Deliverable 1 --- .../CS506 Final Project - Deliverable 1.pdf | Bin 0 -> 96820 bytes .../Deliverable 1/code/deliverable_1.Rmd | 47 + .../Deliverable 1/code/deliverable_1.html | 479 +++ .../data/cb12-33table1states-1.xls | Bin 0 -> 37888 bytes .../reduction_cases.xlsx | Bin 0 -> 9402 bytes .../reduction_deaths.xlsx | Bin 0 -> 9313 bytes .../vaccinationRates_vs_safety.csv | 2913 +++++++++++++++++ .../vaccine_coverage.pdf | Bin 0 -> 88970 bytes .../data/healthExpendituresState.csv | 70 + .../data/importance_of_vaccination_poll.xlsx | Bin 0 -> 9283 bytes .../data/population_by_state.csv | 52 + .../data/vaccinationrate_and_exemption.csv | 52 + .../data/vaccines_autism_poll.xlsx | Bin 0 -> 9275 bytes .../data/vaccines_danger_poll.xlsx | Bin 0 -> 9223 bytes 14 files changed, 3613 insertions(+) create mode 100644 vaccination_viruses/Deliverable 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z>J}bX_LiHWBK`ki+1KyJbvfZ3F(()#O{8`&R{zOj{e60V-GqZ(l0}xqpKdd~jIS~I z7+=k^%i?joefRppt{uT$bB*Q+721fZsei2a&#d_6aRf$Zn8-WKMo)Be)N?1VRTA7k+9YW^!s6BOvx(*V) z_K_;99Dxhlv959?^2#s;Lo;)fslKff4{{wc;Awkb*)^v%&+}HAYzMnzc^H>n!>&ey zgFpWz+~%zMxa5Bp5VN+Ya@GIZI?mc1uZFUM}v6?8-fx9T?aVrh*ut2_ u5-W}~FeEKysRb=;h3W*dKoh(Q1Od>h#G;alqSQ1lBSSMTRaIAiH!c9D8lPVP literal 0 HcmV?d00001 diff --git a/vaccination_viruses/Deliverable 1/code/deliverable_1.Rmd b/vaccination_viruses/Deliverable 1/code/deliverable_1.Rmd new file mode 100644 index 0000000..c7eabc0 --- /dev/null +++ b/vaccination_viruses/Deliverable 1/code/deliverable_1.Rmd @@ -0,0 +1,47 @@ +--- +title: "Deliverable 1" +output: html_document +--- + +```{r setup} +library(tidyverse) +``` + +# For the writeup, see CS506 Final Project - Deliverable 1.pdf + +## Cleaning Data +```{r clean_data} +data <- read.csv(file = '../data/vaccinationrate_and_exemption.csv') +spending_data_headers <- read.csv(file = '../data/healthExpendituresState.csv', skip = 1, nrows = 1, as.is = TRUE) +spending_data = read.csv(file = '../data/healthExpendituresState.csv', skip = 3, nrows = 51, as.is = TRUE) +colnames(spending_data) = spending_data_headers +spending_data$`Total Health Spending` = gsub("\\$", "", spending_data$`Total Health Spending`) +spending_data$`Total Health Spending` = as.numeric(gsub("\\,", "", spending_data$`Total Health Spending`)) +spending_data <- spending_data %>% rename( + States = Location +) +population_data <- read.csv(file = '../data/population_by_state.csv') +population_data <- population_data[order(population_data$States),] +population_data$Population = as.numeric(gsub("\\,", "", population_data$Population)) +all_data <- merge(data, spending_data, by="States") +all_data <- merge(all_data, population_data, by="States") +all_data <- all_data %>% rename(VaxRate = `X.`) +all_data <- all_data %>% mutate(spending_per_capita = (`Total Health Spending`/Population)*1000000) +``` +## Exemptions + +```{r make_simple_graph} +ggplot(all_data) + + #geom_point(aes(x = Exemption, y=X.)) + + geom_boxplot(aes(x = Exemption, y=VaxRate)) + + ylab("Vaccination Rate") + + ggtitle("Vaccination Rates in States with Various Exemptions") + +``` + +## Spending per Capita by State + +```{r graphs2} +model <- lm(VaxRate~spending_per_capita, data = all_data) +summary(model) +``` diff --git a/vaccination_viruses/Deliverable 1/code/deliverable_1.html b/vaccination_viruses/Deliverable 1/code/deliverable_1.html new file mode 100644 index 0000000..73905f7 --- /dev/null +++ b/vaccination_viruses/Deliverable 1/code/deliverable_1.html @@ -0,0 +1,479 @@ + + + + + + + + + + + + + +Deliverable 1 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + +
library(tidyverse)
+
## ── Attaching packages ─────────────────────────────────────────────────────────── tidyverse 1.3.0 ──
+
## ✓ ggplot2 3.3.0     ✓ purrr   0.3.3
+## ✓ tibble  2.1.3     ✓ dplyr   0.8.3
+## ✓ tidyr   1.0.2     ✓ stringr 1.4.0
+## ✓ readr   1.3.1     ✓ forcats 0.4.0
+
## ── Conflicts ────────────────────────────────────────────────────────────── tidyverse_conflicts() ──
+## x dplyr::filter() masks stats::filter()
+## x dplyr::lag()    masks stats::lag()
+
+

For the writeup, see CS506 Final Project - Deliverable 1.pdf

+
+

Cleaning Data

+
data <- read.csv(file = '../data/vaccinationrate_and_exemption.csv')
+spending_data_headers <- read.csv(file = '../data/healthExpendituresState.csv', skip = 1, nrows = 1, as.is = TRUE)
+spending_data = read.csv(file = '../data/healthExpendituresState.csv', skip = 3, nrows = 51, as.is = TRUE)
+colnames(spending_data) = spending_data_headers
+spending_data$`Total Health Spending` = gsub("\\$", "", spending_data$`Total Health Spending`)
+spending_data$`Total Health Spending` = as.numeric(gsub("\\,", "", spending_data$`Total Health Spending`))
+spending_data <- spending_data %>% rename(
+                    States = Location
+)
+population_data <- read.csv(file = '../data/population_by_state.csv')
+population_data <- population_data[order(population_data$States),]
+population_data$Population = as.numeric(gsub("\\,", "", population_data$Population))
+all_data <- merge(data, spending_data, by="States")
+all_data <- merge(all_data, population_data, by="States")
+all_data <- all_data %>% rename(VaxRate = `X.`)
+all_data <- all_data %>% mutate(spending_per_capita = (`Total Health Spending`/Population)*1000000)
+
+
+

Exemptions

+
ggplot(all_data) +
+  #geom_point(aes(x = Exemption, y=X.)) +
+  geom_boxplot(aes(x = Exemption, y=VaxRate)) +
+  ylab("Vaccination Rate") +
+  ggtitle("Vaccination Rates in States with Various Exemptions")
+

+
+
+

Spending per Capita by State

+
model <- lm(VaxRate~spending_per_capita, data = all_data)
+summary(model)
+
## 
+## Call:
+## lm(formula = VaxRate ~ spending_per_capita, data = all_data)
+## 
+## Residuals:
+##     Min      1Q  Median      3Q     Max 
+## -5.7266 -1.5730  0.4823  1.4642  6.4950 
+## 
+## Coefficients:
+##                      Estimate Std. Error t value Pr(>|t|)    
+## (Intercept)         8.628e+01  2.099e+00  41.096   <2e-16 ***
+## spending_per_capita 6.555e-04  2.549e-04   2.572   0.0132 *  
+## ---
+## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+## 
+## Residual standard error: 2.402 on 49 degrees of freedom
+## Multiple R-squared:  0.1189, Adjusted R-squared:  0.1009 
+## F-statistic: 6.613 on 1 and 49 DF,  p-value: 0.01321
+
+
+ + + + +
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1/data/data_for_introduction/vaccinationRates_vs_safety.csv b/vaccination_viruses/Deliverable 1/data/data_for_introduction/vaccinationRates_vs_safety.csv new file mode 100644 index 0000000..bbf46c1 --- /dev/null +++ b/vaccination_viruses/Deliverable 1/data/data_for_introduction/vaccinationRates_vs_safety.csv @@ -0,0 +1,2913 @@ +Entity,Code,Year,Continent,"Share of people who disagree vaccines are safe (Wellcome Trust, 2019)",MCV2 (% of children immunized) +Abkhazia,OWID_ABK,2015,Asia,, +Afghanistan,AFG,2004,,,2 +Afghanistan,AFG,2005,,,9 +Afghanistan,AFG,2006,,,18 +Afghanistan,AFG,2007,,,4 +Afghanistan,AFG,2008,,,23 +Afghanistan,AFG,2009,,,24 +Afghanistan,AFG,2010,,,29 +Afghanistan,AFG,2011,,,31 +Afghanistan,AFG,2012,,,33 +Afghanistan,AFG,2013,,,35 +Afghanistan,AFG,2014,,,39 +Afghanistan,AFG,2015,Asia,,39 +Afghanistan,AFG,2016,,,39 +Afghanistan,AFG,2017,,,39 +Afghanistan,AFG,2018,,4.470985575,39 +Afghanistan,AFG,2019,,,39 +Africa,,2000,,,5 +Africa,,2001,,,5 +Africa,,2002,,,5 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Republic,DOM,2018,,4.905058752,31 +Dominican Republic,DOM,2019,,,60 +East Asia,,2018,,8, +East Germany,OWID_GDR,2015,Europe,, +Eastern Africa,,2018,,5, +Eastern Europe,,2018,,17, +Eastern Mediterranean,,2000,,,28 +Eastern Mediterranean,,2001,,,35 +Eastern Mediterranean,,2002,,,35 +Eastern Mediterranean,,2003,,,34 +Eastern Mediterranean,,2004,,,38 +Eastern Mediterranean,,2005,,,40 +Eastern Mediterranean,,2006,,,41 +Eastern Mediterranean,,2007,,,41 +Eastern Mediterranean,,2008,,,40 +Eastern Mediterranean,,2009,,,50 +Eastern Mediterranean,,2010,,,52 +Eastern Mediterranean,,2011,,,54 +Eastern Mediterranean,,2012,,,56 +Eastern Mediterranean,,2013,,,59 +Eastern Mediterranean,,2014,,,64 +Eastern Mediterranean,,2015,,,68 +Eastern Mediterranean,,2016,,,74 +Eastern Mediterranean,,2017,,,75 +Eastern Mediterranean,,2018,,,74 +Eastern Mediterranean,,2019,,,75 +Ecuador,ECU,2009,,,99 +Ecuador,ECU,2010,,,91 +Ecuador,ECU,2011,,,92 +Ecuador,ECU,2012,,,81 +Ecuador,ECU,2013,,,70 +Ecuador,ECU,2014,,,59 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Salvador,SLV,2018,,11.38611622,85 +El Salvador,SLV,2019,,,87 +Equatorial Guinea,GNQ,2015,Africa,, +Eritrea,ERI,2015,Africa,,88 +Eritrea,ERI,2016,,,88 +Eritrea,ERI,2017,,,88 +Eritrea,ERI,2018,,,88 +Eritrea,ERI,2019,,,88 +Eritrea and Ethiopia,OWID_ERE,2015,Africa,, +Estonia,EST,2000,,,89 +Estonia,EST,2001,,,84 +Estonia,EST,2002,,,94 +Estonia,EST,2003,,,96 +Estonia,EST,2004,,,97 +Estonia,EST,2005,,,98 +Estonia,EST,2006,,,98 +Estonia,EST,2007,,,96 +Estonia,EST,2008,,,97 +Estonia,EST,2009,,,96 +Estonia,EST,2010,,,95 +Estonia,EST,2011,,,95 +Estonia,EST,2012,,,94 +Estonia,EST,2013,,,92 +Estonia,EST,2014,,,93 +Estonia,EST,2015,Europe,,92 +Estonia,EST,2016,,,92 +Estonia,EST,2017,,,91 +Estonia,EST,2018,,13.48992364,88 +Estonia,EST,2019,,,90 +Ethiopia,ETH,2015,Africa,, +Ethiopia,ETH,2018,,2.54309192, +Ethiopia,ETH,2019,,,41 +Europe,,2000,,,48 +Europe,,2001,,,62 +Europe,,2002,,,70 +Europe,,2003,,,73 +Europe,,2004,,,77 +Europe,,2005,,,76 +Europe,,2006,,,75 +Europe,,2007,,,76 +Europe,,2008,,,75 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+Guernsey,GGY,2015,Europe,, +Guinea,GIN,2015,Africa,, +Guinea,GIN,2018,,14.05135618, +Guinea-Bissau,GNB,2015,Africa,, +Guyana,GUY,2001,,,88 +Guyana,GUY,2002,,,80 +Guyana,GUY,2003,,,71 +Guyana,GUY,2004,,,63 +Guyana,GUY,2005,,,72 +Guyana,GUY,2006,,,74 +Guyana,GUY,2007,,,90 +Guyana,GUY,2008,,,84 +Guyana,GUY,2009,,,84 +Guyana,GUY,2010,,,82 +Guyana,GUY,2011,,,84 +Guyana,GUY,2012,,,90 +Guyana,GUY,2013,,,95 +Guyana,GUY,2014,,,91 +Guyana,GUY,2015,South America,,95 +Guyana,GUY,2016,,,94 +Guyana,GUY,2017,,,93 +Guyana,GUY,2018,,,84 +Guyana,GUY,2019,,,92 +Haiti,HTI,2015,North America,, +Haiti,HTI,2016,,,26 +Haiti,HTI,2017,,,25 +Haiti,HTI,2018,,20.39307286,38 +Haiti,HTI,2019,,,41 +Hanover,OWID_HAN,2015,Europe,, +Heard Island and McDonald Islands,HMD,2015,Antarctica,, +Hesse Electoral,OWID_HSE,2015,Europe,, +Hesse Grand Ducal,OWID_HSG,2015,Europe,, +High income,,2000,,,43 +High income,,2001,,,51 +High income,,2002,,,59 +High income,,2003,,,59 +High income,,2004,,,66 +High income,,2005,,,66 +High income,,2006,,,67 +High income,,2007,,,68 +High income,,2008,,,75 +High income,,2009,,,76 +High income,,2010,,,81 +High income,,2011,,,81 +High income,,2012,,,85 +High income,,2013,,,89 +High income,,2014,,,90 +High income,,2015,,,90 +High income,,2016,,,91 +High income,,2017,,,91 +High income,,2018,,,92 +High income,,2019,,,92 +Honduras,HND,2015,North America,, +Honduras,HND,2018,,5.889666745,94 +Honduras,HND,2019,,,85 +Hong Kong,HKG,2015,Asia,, +Hungary,HUN,2000,,,99 +Hungary,HUN,2001,,,99 +Hungary,HUN,2002,,,99 +Hungary,HUN,2003,,,99 +Hungary,HUN,2004,,,99 +Hungary,HUN,2005,,,99 +Hungary,HUN,2006,,,99 +Hungary,HUN,2007,,,99 +Hungary,HUN,2008,,,99 +Hungary,HUN,2009,,,99 +Hungary,HUN,2010,,,99 +Hungary,HUN,2011,,,99 +Hungary,HUN,2012,,,99 +Hungary,HUN,2013,,,99 +Hungary,HUN,2014,,,99 +Hungary,HUN,2015,Europe,,99 +Hungary,HUN,2016,,,99 +Hungary,HUN,2017,,,99 +Hungary,HUN,2018,,2.632851949,99 +Hungary,HUN,2019,,,99 +Iceland,ISL,2003,,,92 +Iceland,ISL,2004,,,89 +Iceland,ISL,2005,,,90 +Iceland,ISL,2006,,,93 +Iceland,ISL,2007,,,95 +Iceland,ISL,2008,,,94 +Iceland,ISL,2009,,,93 +Iceland,ISL,2010,,,92 +Iceland,ISL,2011,,,90 +Iceland,ISL,2012,,,97 +Iceland,ISL,2013,,,94 +Iceland,ISL,2014,,,93 +Iceland,ISL,2015,Europe,,94 +Iceland,ISL,2016,,,95 +Iceland,ISL,2017,,,95 +Iceland,ISL,2018,,21.26700693,95 +Iceland,ISL,2019,,,95 +India,IND,2011,,,27 +India,IND,2012,,,36 +India,IND,2013,,,51 +India,IND,2014,,,60 +India,IND,2015,Asia,,69 +India,IND,2016,,,76 +India,IND,2017,,,80 +India,IND,2018,,1.995294987,82 +India,IND,2019,,,84 +Indonesia,IDN,2003,,,21 +Indonesia,IDN,2004,,,29 +Indonesia,IDN,2005,,,23 +Indonesia,IDN,2006,,,50 +Indonesia,IDN,2007,,,73 +Indonesia,IDN,2008,,,66 +Indonesia,IDN,2009,,,67 +Indonesia,IDN,2010,,,74 +Indonesia,IDN,2011,,,76 +Indonesia,IDN,2012,,,78 +Indonesia,IDN,2013,,,76 +Indonesia,IDN,2014,,,28 +Indonesia,IDN,2015,Asia,,31 +Indonesia,IDN,2016,,,55 +Indonesia,IDN,2017,,,63 +Indonesia,IDN,2018,,5.737725649,67 +Indonesia,IDN,2019,,,71 +Iran,IRN,2000,,,99 +Iran,IRN,2001,,,94 +Iran,IRN,2002,,,96 +Iran,IRN,2003,,,96 +Iran,IRN,2004,,,99 +Iran,IRN,2005,,,92 +Iran,IRN,2006,,,98 +Iran,IRN,2007,,,97 +Iran,IRN,2008,,,96 +Iran,IRN,2009,,,99 +Iran,IRN,2010,,,99 +Iran,IRN,2011,,,99 +Iran,IRN,2012,,,97 +Iran,IRN,2013,,,97 +Iran,IRN,2014,,,98 +Iran,IRN,2015,Asia,,98 +Iran,IRN,2016,,,98 +Iran,IRN,2017,,,98 +Iran,IRN,2018,,9.154814714,98 +Iran,IRN,2019,,,98 +Iraq,IRQ,2001,,,52 +Iraq,IRQ,2002,,,48 +Iraq,IRQ,2003,,,45 +Iraq,IRQ,2004,,,41 +Iraq,IRQ,2005,,,58 +Iraq,IRQ,2006,,,52 +Iraq,IRQ,2007,,,64 +Iraq,IRQ,2008,,,76 +Iraq,IRQ,2009,,,87 +Iraq,IRQ,2010,,,77 +Iraq,IRQ,2011,,,77 +Iraq,IRQ,2012,,,68 +Iraq,IRQ,2013,,,57 +Iraq,IRQ,2014,,,67 +Iraq,IRQ,2015,Asia,,76 +Iraq,IRQ,2016,,,78 +Iraq,IRQ,2017,,,88 +Iraq,IRQ,2018,,4.446227372,81 +Iraq,IRQ,2019,,,86 +Ireland,IRL,2015,Europe,, +Ireland,IRL,2018,,9.355552291, +Isle of Man,IMN,2015,Europe,, +Israel,ISR,2001,,,97 +Israel,ISR,2002,,,97 +Israel,ISR,2003,,,97 +Israel,ISR,2004,,,97 +Israel,ISR,2005,,,96 +Israel,ISR,2006,,,96 +Israel,ISR,2007,,,90 +Israel,ISR,2008,,,91 +Israel,ISR,2009,,,92 +Israel,ISR,2010,,,93 +Israel,ISR,2011,,,87 +Israel,ISR,2012,,,89 +Israel,ISR,2013,,,95 +Israel,ISR,2014,,,96 +Israel,ISR,2015,Asia,,97 +Israel,ISR,2016,,,97 +Israel,ISR,2017,,,96 +Israel,ISR,2018,,4.820923171,96 +Israel,ISR,2019,,,96 +Italy,ITA,2013,,,84 +Italy,ITA,2014,,,83 +Italy,ITA,2015,Europe,,83 +Italy,ITA,2016,,,82 +Italy,ITA,2017,,,86 +Italy,ITA,2018,,13.71469477,89 +Italy,ITA,2019,,,88 +Jamaica,JAM,2001,,,96 +Jamaica,JAM,2002,,,96 +Jamaica,JAM,2003,,,95 +Jamaica,JAM,2004,,,95 +Jamaica,JAM,2005,,,91 +Jamaica,JAM,2006,,,88 +Jamaica,JAM,2007,,,84 +Jamaica,JAM,2008,,,80 +Jamaica,JAM,2009,,,78 +Jamaica,JAM,2010,,,56 +Jamaica,JAM,2011,,,60 +Jamaica,JAM,2012,,,76 +Jamaica,JAM,2013,,,71 +Jamaica,JAM,2014,,,72 +Jamaica,JAM,2015,North America,,83 +Jamaica,JAM,2016,,,85 +Jamaica,JAM,2017,,,95 +Jamaica,JAM,2018,,,82 +Jamaica,JAM,2019,,,92 +Japan,JPN,2008,,,78 +Japan,JPN,2009,,,92 +Japan,JPN,2010,,,97 +Japan,JPN,2011,,,92 +Japan,JPN,2012,,,92 +Japan,JPN,2013,,,93 +Japan,JPN,2014,,,94 +Japan,JPN,2015,Asia,,93 +Japan,JPN,2016,,,93 +Japan,JPN,2017,,,95 +Japan,JPN,2018,,8.347281956,93 +Japan,JPN,2019,,,93 +Jersey,JEY,2015,Europe,, +Jordan,JOR,2000,,,83 +Jordan,JOR,2001,,,87 +Jordan,JOR,2002,,,90 +Jordan,JOR,2003,,,91 +Jordan,JOR,2004,,,98 +Jordan,JOR,2005,,,92 +Jordan,JOR,2006,,,88 +Jordan,JOR,2007,,,97 +Jordan,JOR,2008,,,90 +Jordan,JOR,2009,,,90 +Jordan,JOR,2010,,,95 +Jordan,JOR,2011,,,95 +Jordan,JOR,2012,,,96 +Jordan,JOR,2013,,,98 +Jordan,JOR,2014,,,98 +Jordan,JOR,2015,Asia,,96 +Jordan,JOR,2016,,,99 +Jordan,JOR,2017,,,99 +Jordan,JOR,2018,,3.153373732,96 +Jordan,JOR,2019,,,96 +Kazakhstan,KAZ,2000,,,98 +Kazakhstan,KAZ,2001,,,95 +Kazakhstan,KAZ,2002,,,98 +Kazakhstan,KAZ,2003,,,99 +Kazakhstan,KAZ,2004,,,99 +Kazakhstan,KAZ,2005,,,96 +Kazakhstan,KAZ,2006,,,99 +Kazakhstan,KAZ,2007,,,99 +Kazakhstan,KAZ,2008,,,99 +Kazakhstan,KAZ,2009,,,99 +Kazakhstan,KAZ,2010,,,99 +Kazakhstan,KAZ,2011,,,99 +Kazakhstan,KAZ,2012,,,97 +Kazakhstan,KAZ,2013,,,99 +Kazakhstan,KAZ,2014,,,99 +Kazakhstan,KAZ,2015,Asia,,98 +Kazakhstan,KAZ,2016,,,99 +Kazakhstan,KAZ,2017,,,99 +Kazakhstan,KAZ,2018,,10.3336845,98 +Kazakhstan,KAZ,2019,,,98 +Kenya,KEN,2015,Africa,,28 +Kenya,KEN,2016,,,32 +Kenya,KEN,2017,,,35 +Kenya,KEN,2018,,5.300983921,45 +Kenya,KEN,2019,,,45 +Kiribati,KIR,2009,,,35 +Kiribati,KIR,2010,,,21 +Kiribati,KIR,2011,,,61 +Kiribati,KIR,2012,,,9 +Kiribati,KIR,2013,,,84 +Kiribati,KIR,2014,,,80 +Kiribati,KIR,2015,Oceania,,76 +Kiribati,KIR,2016,,,79 +Kiribati,KIR,2017,,,79 +Kiribati,KIR,2018,,,85 +Kiribati,KIR,2019,,,91 +Kosovo,OWID_KOS,2015,Europe,, +Kosovo,OWID_KOS,2018,,5.418528202, +Kuwait,KWT,2005,,,77 +Kuwait,KWT,2006,,,96 +Kuwait,KWT,2007,,,90 +Kuwait,KWT,2008,,,86 +Kuwait,KWT,2009,,,94 +Kuwait,KWT,2010,,,99 +Kuwait,KWT,2011,,,99 +Kuwait,KWT,2012,,,99 +Kuwait,KWT,2013,,,99 +Kuwait,KWT,2014,,,86 +Kuwait,KWT,2015,Asia,,96 +Kuwait,KWT,2016,,,99 +Kuwait,KWT,2017,,,99 +Kuwait,KWT,2018,,4.097016132,94 +Kuwait,KWT,2019,,,94 +Kyrgyzstan,KGZ,2000,,,96 +Kyrgyzstan,KGZ,2001,,,98 +Kyrgyzstan,KGZ,2002,,,98 +Kyrgyzstan,KGZ,2003,,,98 +Kyrgyzstan,KGZ,2004,,,98 +Kyrgyzstan,KGZ,2005,,,98 +Kyrgyzstan,KGZ,2006,,,97 +Kyrgyzstan,KGZ,2007,,,95 +Kyrgyzstan,KGZ,2008,,,97 +Kyrgyzstan,KGZ,2009,,,98 +Kyrgyzstan,KGZ,2010,,,98 +Kyrgyzstan,KGZ,2011,,,98 +Kyrgyzstan,KGZ,2012,,,98 +Kyrgyzstan,KGZ,2013,,,97 +Kyrgyzstan,KGZ,2014,,,97 +Kyrgyzstan,KGZ,2015,Asia,,96 +Kyrgyzstan,KGZ,2016,,,98 +Kyrgyzstan,KGZ,2017,,,96 +Kyrgyzstan,KGZ,2018,,8.841450211,96 +Kyrgyzstan,KGZ,2019,,,98 +Laos,LAO,2015,Asia,, +Laos,LAO,2018,,1.856595172,57 +Laos,LAO,2019,,,57 +Latvia,LVA,2000,,,90 +Latvia,LVA,2001,,,95 +Latvia,LVA,2002,,,96 +Latvia,LVA,2003,,,97 +Latvia,LVA,2004,,,98 +Latvia,LVA,2005,,,99 +Latvia,LVA,2006,,,99 +Latvia,LVA,2007,,,98 +Latvia,LVA,2008,,,94 +Latvia,LVA,2009,,,92 +Latvia,LVA,2010,,,93 +Latvia,LVA,2011,,,92 +Latvia,LVA,2012,,,92 +Latvia,LVA,2013,,,92 +Latvia,LVA,2014,,,89 +Latvia,LVA,2015,Europe,,92 +Latvia,LVA,2016,,,89 +Latvia,LVA,2017,,,89 +Latvia,LVA,2018,,17.0717777,94 +Latvia,LVA,2019,,,96 +Lebanon,LBN,2000,,,56 +Lebanon,LBN,2001,,,42 +Lebanon,LBN,2002,,,28 +Lebanon,LBN,2003,,,14 +Lebanon,LBN,2004,,,24 +Lebanon,LBN,2005,,,34 +Lebanon,LBN,2006,,,45 +Lebanon,LBN,2007,,,55 +Lebanon,LBN,2008,,,65 +Lebanon,LBN,2009,,,75 +Lebanon,LBN,2010,,,73 +Lebanon,LBN,2011,,,70 +Lebanon,LBN,2012,,,68 +Lebanon,LBN,2013,,,65 +Lebanon,LBN,2014,,,63 +Lebanon,LBN,2015,Asia,,63 +Lebanon,LBN,2016,,,63 +Lebanon,LBN,2017,,,63 +Lebanon,LBN,2018,,3.348813152,63 +Lebanon,LBN,2019,,,63 +Lesotho,LSO,2001,,,46 +Lesotho,LSO,2002,,,50 +Lesotho,LSO,2003,,,47 +Lesotho,LSO,2004,,,56 +Lesotho,LSO,2005,,,68 +Lesotho,LSO,2006,,,80 +Lesotho,LSO,2007,,,80 +Lesotho,LSO,2008,,,80 +Lesotho,LSO,2009,,,81 +Lesotho,LSO,2010,,,81 +Lesotho,LSO,2011,,,82 +Lesotho,LSO,2012,,,82 +Lesotho,LSO,2013,,,82 +Lesotho,LSO,2014,,,82 +Lesotho,LSO,2015,Africa,,82 +Lesotho,LSO,2016,,,82 +Lesotho,LSO,2017,,,82 +Lesotho,LSO,2018,,,82 +Lesotho,LSO,2019,,,82 +Liberia,LBR,2015,Africa,, +Liberia,LBR,2018,,2.505175939, +Liberia,LBR,2019,,,13 +Libya,LBY,2001,,,81 +Libya,LBY,2002,,,86 +Libya,LBY,2003,,,90 +Libya,LBY,2004,,,95 +Libya,LBY,2005,,,95 +Libya,LBY,2006,,,96 +Libya,LBY,2007,,,97 +Libya,LBY,2008,,,97 +Libya,LBY,2009,,,97 +Libya,LBY,2010,,,97 +Libya,LBY,2011,,,97 +Libya,LBY,2012,,,97 +Libya,LBY,2013,,,95 +Libya,LBY,2014,,,92 +Libya,LBY,2015,Africa,,97 +Libya,LBY,2016,,,96 +Libya,LBY,2017,,,94 +Libya,LBY,2018,,9.027480215,72 +Libya,LBY,2019,,,72 +Liechtenstein,LIE,2015,Europe,, +Lithuania,LTU,2000,,,97 +Lithuania,LTU,2001,,,96 +Lithuania,LTU,2002,,,95 +Lithuania,LTU,2003,,,93 +Lithuania,LTU,2004,,,93 +Lithuania,LTU,2005,,,95 +Lithuania,LTU,2006,,,94 +Lithuania,LTU,2007,,,96 +Lithuania,LTU,2008,,,96 +Lithuania,LTU,2009,,,94 +Lithuania,LTU,2010,,,95 +Lithuania,LTU,2011,,,94 +Lithuania,LTU,2012,,,93 +Lithuania,LTU,2013,,,92 +Lithuania,LTU,2014,,,92 +Lithuania,LTU,2015,Europe,,92 +Lithuania,LTU,2016,,,92 +Lithuania,LTU,2017,,,92 +Lithuania,LTU,2018,,8.280441649,92 +Lithuania,LTU,2019,,,93 +Low income,,2000,,,3 +Low income,,2001,,,4 +Low income,,2002,,,4 +Low income,,2003,,,4 +Low income,,2004,,,4 +Low income,,2005,,,5 +Low income,,2006,,,6 +Low income,,2007,,,5 +Low income,,2008,,,8 +Low income,,2009,,,8 +Low income,,2010,,,9 +Low income,,2011,,,8 +Low income,,2012,,,9 +Low income,,2013,,,12 +Low income,,2014,,,13 +Low income,,2015,,,18 +Low income,,2016,,,23 +Low income,,2017,,,25 +Low income,,2018,,,27 +Low income,,2019,,,36 +Low income (non-Gavi countries),,2000,,,80 +Low income (non-Gavi countries),,2001,,,83 +Low income (non-Gavi countries),,2002,,,84 +Low income (non-Gavi countries),,2003,,,83 +Low income (non-Gavi countries),,2004,,,82 +Low income (non-Gavi countries),,2005,,,81 +Low income (non-Gavi countries),,2006,,,81 +Low income (non-Gavi countries),,2007,,,81 +Low income (non-Gavi countries),,2008,,,81 +Low income (non-Gavi countries),,2009,,,82 +Low income (non-Gavi countries),,2010,,,82 +Low income (non-Gavi countries),,2011,,,71 +Low income (non-Gavi countries),,2012,,,53 +Low income (non-Gavi countries),,2013,,,51 +Low income (non-Gavi countries),,2014,,,49 +Low income (non-Gavi countries),,2015,,,47 +Low income (non-Gavi countries),,2016,,,52 +Low income (non-Gavi countries),,2017,,,59 +Low income (non-Gavi countries),,2018,,,54 +Low income (non-Gavi countries),,2019,,,54 +Luxembourg,LUX,2012,,,86 +Luxembourg,LUX,2013,,,86 +Luxembourg,LUX,2014,,,86 +Luxembourg,LUX,2015,Europe,,86 +Luxembourg,LUX,2016,,,86 +Luxembourg,LUX,2017,,,86 +Luxembourg,LUX,2018,,12.3730704,90 +Luxembourg,LUX,2019,,,90 +Macao,MAC,2015,Asia,, +Macedonia,MKD,2000,,,95 +Macedonia,MKD,2001,,,94 +Macedonia,MKD,2002,,,95 +Macedonia,MKD,2003,,,97 +Macedonia,MKD,2004,,,95 +Macedonia,MKD,2005,,,95 +Macedonia,MKD,2006,,,96 +Macedonia,MKD,2007,,,95 +Macedonia,MKD,2008,,,95 +Macedonia,MKD,2009,,,97 +Macedonia,MKD,2010,,,99 +Macedonia,MKD,2011,,,98 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Islands,MHL,2013,,,56 +Marshall Islands,MHL,2014,,,53 +Marshall Islands,MHL,2015,Oceania,,70 +Marshall Islands,MHL,2016,,,49 +Marshall Islands,MHL,2017,,,62 +Marshall Islands,MHL,2018,,,61 +Marshall Islands,MHL,2019,,,64 +Martinique,MTQ,2015,North America,, +Mauritania,MRT,2015,Africa,, +Mauritania,MRT,2018,,9.6241817, +Mauritius,MUS,2004,,,80 +Mauritius,MUS,2005,,,78 +Mauritius,MUS,2006,,,85 +Mauritius,MUS,2007,,,80 +Mauritius,MUS,2008,,,83 +Mauritius,MUS,2009,,,85 +Mauritius,MUS,2010,,,90 +Mauritius,MUS,2011,,,89 +Mauritius,MUS,2012,,,90 +Mauritius,MUS,2013,,,85 +Mauritius,MUS,2014,,,85 +Mauritius,MUS,2015,Africa,,96 +Mauritius,MUS,2016,,,92 +Mauritius,MUS,2017,,,95 +Mauritius,MUS,2018,,17.02140053,99 +Mauritius,MUS,2019,,,99 +Mayotte,MYT,2015,Africa,, +Mecklenburg Schwerin,OWID_MEC,2015,Europe,, +Mexico,MEX,2000,,,98 +Mexico,MEX,2001,,,99 +Mexico,MEX,2002,,,89 +Mexico,MEX,2003,,,96 +Mexico,MEX,2004,,,97 +Mexico,MEX,2005,,,97 +Mexico,MEX,2006,,,91 +Mexico,MEX,2007,,,85 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z;I8n$7k&Ak;Qu$#o$to`Uk-y~qW^8A`@Y9V_;8YTgqJ$fqR~m-ye3}w!&Ah9r#%9spqV@;SlX)yGNF~omcJjx#v}l`#(?Bi=MarRQ-2p zn&e|xbYse~9OF}cp{I=Z@juMdmF|%~4wHQPj__P6`V@&e@*k-`%*SAi zPqQRXMDk%iofG`uB+seuk^a}iiRXByN%ViGfl(dzb)#}kR0p?{oRsbCmr-_?R{rPT I|8E-jUwsR5vH$=8 diff --git a/vaccination_viruses/Deliverable 1/data/populationDensity.csv b/vaccination_viruses/Deliverable 1/data/populationDensity.csv deleted file mode 100644 index 2a2f8c6..0000000 --- a/vaccination_viruses/Deliverable 1/data/populationDensity.csv +++ /dev/null @@ -1,52 +0,0 @@ -States,Density,Pop,LandArea -District of Columbia,11814.541,720687,61 -New Jersey,1215.1985,8936570,7354 -Rhode Island,1021.4313,1056160,1034 -Massachusetts,894.4359,6976600,7800 -Connecticut,735.8695,3563080,4842 -Maryland,626.6735,6083120,9707 -Delaware,504.3073,982895,1949 -New York,412.5218,19440500,47126 -Florida,410.1259,21993000,53625 -Ohio,287.504,11747700,40861 -Pennsylvania,286.5454,12820900,44743 -California,256.3728,39937500,155779 -Illinois,228.0246,12659700,55519 -Hawaii,219.9424,1412690,6423 -Virginia,218.4404,8626210,39490 -North Carolina,218.271,10611900,48618 -Indiana,188.2809,6745350,35826 -Georgia,186.6726,10736100,57513 -Michigan,177.665,10045000,56539 -South Carolina,173.3176,5210100,30061 -Tennessee,167.2749,6897580,41235 -New Hampshire,153.161,1371250,8953 -Washington,117.3273,7797100,66456 -Kentucky,113.9566,4499690,39486 -Texas,112.8204,29472300,261232 -Wisconsin,108.0496,5851750,54158 -Louisiana,107.5174,4645180,43204 -Alabama,96.9221,4908620,50645 -Missouri,89.7453,6169270,68742 -West Virginia,73.9691,1778070,24038 -Minnesota,71.5922,5700670,79627 -Vermont,68.1416,628061,9217 -Arizona,64.9549,7378490,113594 -Mississippi,63.7056,2989260,46923 -Arkansas,58.403,3039000,52035 -Oklahoma,57.6546,3954820,68595 -Iowa,56.9284,3179850,55857 -Colorado,56.4012,5845530,103642 -Oregon,44.8086,4301090,95988 -Maine,43.6336,1345790,30843 -Utah,39.943,3282120,82170 -Kansas,35.5968,2910360,81759 -Nevada,28.5993,3139660,109781 -Nebraska,25.4161,1952570,76824 -Idaho,22.097,1826160,82643 -New Mexico,17.285,2096640,121298 -South Dakota,11.9116,903027,75811 -North Dakota,11.0393,761723,69001 -Montana,7.4668,1086760,145546 -Wyoming,5.84,567025,97093 -Alaska,1.2863,734002,570641 \ No newline at end of file diff --git a/vaccination_viruses/Deliverable 1/data/population_by_state.csv b/vaccination_viruses/Deliverable 1/data/population_by_state.csv deleted file mode 100644 index a3e6aee..0000000 --- a/vaccination_viruses/Deliverable 1/data/population_by_state.csv +++ /dev/null @@ -1,52 +0,0 @@ -States,Population -California,"39,512,223" -Texas,"28,995,881" -Florida,"21,477,737" -New York,"19,453,561" -Illinois,"12,671,821" -Pennsylvania,"12,801,989" -Ohio,"11,689,100" -Georgia,"10,617,423" -North Carolina,"10,488,084" -Michigan,"9,986,857" -New Jersey,"8,882,190" -Virginia,"8,535,519" -Washington,"7,614,893" -Arizona,"7,278,717" -Massachusetts,"6,949,503" -Tennessee,"6,833,174" -Indiana,"6,732,219" -Missouri,"6,137,428" -Maryland,"6,045,680" -Wisconsin,"5,822,434" -Colorado,"5,758,736" -Minnesota,"5,639,632" -South Carolina,"5,148,714" -Alabama,"4,903,185" -Louisiana,"4,648,794" -Kentucky,"4,467,673" -Oregon,"4,217,737" -Oklahoma,"3,956,971" -Connecticut,"3,565,287" -Utah,"3,205,958" -Iowa,"3,155,070" -Nevada,"3,080,156" -Arkansas,"3,017,825" -Mississippi,"2,976,149" -Kansas,"2,913,314" -New Mexico,"2,096,829" -Nebraska,"1,934,408" -West Virginia,"1,792,147" -Idaho,"1,787,065" -Hawaii,"1,415,872" -New Hampshire,"1,359,711" -Maine,"1,344,212" -Montana,"1,068,778" -Rhode Island,"1,059,361" -Delaware,"973,764" -South Dakota,"884,659" -North Dakota,"762,062" -Alaska,"731,545" -District of Columbia,"705,749" -Vermont,"623,989" -Wyoming,"578,759" \ No newline at end of file diff --git a/vaccination_viruses/Deliverable 1/data/vaccinationrate_and_exemption.csv b/vaccination_viruses/Deliverable 1/data/vaccinationrate_and_exemption.csv deleted file mode 100644 index 0f4a63e..0000000 --- a/vaccination_viruses/Deliverable 1/data/vaccinationrate_and_exemption.csv +++ /dev/null @@ -1,52 +0,0 @@ -States,n,%,CI,Exemption -Alabama,295,92.3,(±3.8),Religious Exemption -Alaska,251,89.3,(±4),Religious Exemption -Arizona,265,91.7,(±3.9),Personal Belief Exemption -Arkansas,258,92.6,(±3.9),Personal Belief Exemption -California,324,92.9,(±4.7),Medical Exemption Only -Colorado,264,87.2,(±4.8),Personal Belief Exemption -Connecticut,266,94.6,(±3.5),Religious Exemption -Delaware,232,92.9,(±3.8),Religious Exemption -District of Columbia,269,94.1,(±4.3),Religious Exemption -Florida,314,91.9,(±4.3),Religious Exemption -Georgia,299,90.7,(±4.5),Religious Exemption -Hawaii,236,90.5,(±4.3),Religious Exemption -Idaho,198,92.2,(±4.4),Personal Belief Exemption -Illinois,473,91.9,(±2.9),Religious Exemption -Indiana,256,87,(±5.2),Religious Exemption -Iowa,226,91.5,(±4.4),Religious Exemption -Kansas,192,89.8,(±5.5),Religious Exemption -Kentucky,229,92.7,(±4.3),Religious Exemption -Louisiana,282,91.3,(±4.5),Religious Exemption -Maine,271,93.7,(±3.1),Medical Exemption Only -Maryland,361,92.4,(±5.4),Religious Exemption -Massachusetts,271,98.3,(±1.9),Religious Exemption -Michigan,237,92.2,(±4),Personal Belief Exemption -Minnesota,249,94.3,(±3.3),Personal Belief Exemption -Mississippi,247,91.8,(±4.1),Medical Exemption Only -Missouri,229,85.8,(±6),Religious Exemption -Montana,216,92.3,(±4.1),Religious Exemption -Nebraska,246,93.7,(±3.5),Religious Exemption -Nevada,235,92.4,(±3.8),Religious Exemption -New Hampshire,236,94.1,(±3.5),Religious Exemption -New Jersey,356,89,(±4.2),Religious Exemption -New Mexico,233,89.3,(±5),Religious Exemption -New York,543,92.5,(±2.3),Medical Exemption Only -North Carolina,298,92.2,(±3.9),Religious Exemption -North Dakota,222,95.7,(±2.7),Personal Belief Exemption -Ohio,279,88.3,(±4.5),Personal Belief Exemption -Oklahoma,219,91.7,(±3.9),Personal Belief Exemption -Oregon,254,90.3,(±4.2),Personal Belief Exemption -Pennsylvania,543,91.7,(±4.6),Personal Belief Exemption -Rhode Island,249,95.3,(±3),Religious Exemption -South Carolina,238,88,(±5.3),Religious Exemption -South Dakota,244,89.9,(±4.6),Religious Exemption -Tennessee,272,92.3,(±4.2),Religious Exemption -Texas,1545,90.3,(±2.3),Personal Belief Exemption -Utah,249,88.7,(±4.4),Personal Belief Exemption -Vermont,251,93.7,(±3.5),Religious Exemption -Virginia,356,97.6,(±1.9),Religious Exemption -Washington,272,88.5,(±4.9),Religious Exemption -West Virginia,298,89.9,(±4.2),Medical Exemption Only -Wisconsin,218,89.9,(±5),Personal Belief Exemption -Wyoming,267,89.1,(±4.3),Religious Exemption \ No newline at end of file diff --git a/vaccination_viruses/Deliverable 1/data/vaccines_autism_poll.xlsx b/vaccination_viruses/Deliverable 1/data/vaccines_autism_poll.xlsx deleted file mode 100644 index 9a2cc3e08c08e7f690fd8dfc4d6e6602841ceb60..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 9275 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1/data\\full_data.csv" "b/vaccination_viruses/Deliverable 1/data\\full_data.csv" deleted file mode 100644 index dd030ee..0000000 --- "a/vaccination_viruses/Deliverable 1/data\\full_data.csv" +++ /dev/null @@ -1,52 +0,0 @@ -"","States","VaxRate","Exemption","Total Health Spending","Population","spending_per_capita","population_density","Median_income","HighSchool_Plus","Bachelors_Plus" -"1","Alabama",92.3,"Religious Exemption",35263,4903185,7191.85590590606,96.9221,51113,85.8,24.9 -"2","Alaska",89.3,"Religious Exemption",8151,731545,11142.1717050899,1.2863,72231,92.7,29.2 -"3","Arizona",91.7,"Personal Belief Exemption",43356,7278717,5956.54426460048,64.9549,61125,86.8,28.9 -"4","Arkansas",92.6,"Personal Belief Exemption",21980,3017825,7283.39118404811,58.403,48829,86.2,22.6 -"5","California",92.9,"Medical Exemption Only",291989,39512223,7389.83984778584,256.3728,69759,82.9,33.3 -"6","Colorado",87.2,"Personal Belief Exemption",36398,5758736,6320.48421736992,56.4012,74172,91.4,40.1 -"7","Connecticut",94.6,"Religious Exemption",35413,3565287,9932.72070383114,735.8695,72780,90.5,38.9 -"8","Delaware",92.9,"Religious Exemption",9587,973764,9845.30132557786,504.3073,62318,89.8,31.4 -"9","District of Columbia",94.1,"Religious Exemption",7871,705749,11152.6902624021,11814.541,83382,90.6,57.6 -"10","Florida",91.9,"Religious Exemption",160624,21477737,7478.62775300768,410.1259,53681,88,29.2 -"11","Georgia",90.7,"Religious Exemption",66447,10617423,6258.29827068207,186.6726,57016,86.7,30.7 -"12","Hawaii",90.5,"Religious Exemption",10338,1415872,7301.50748090223,219.9424,73575,91.8,32.5 -"13","Idaho",92.2,"Personal Belief Exemption",11315,1787065,6331.61076961386,22.097,60208,90.6,26.9 -"14","Illinois",91.9,"Religious Exemption",106306,12671821,8389.16521942663,228.0246,64609,88.9,34.1 -"15","Indiana",87,"Religious Exemption",54741,6732219,8131.19715802472,188.2809,58873,88.6,25.9 -"16","Iowa",91.5,"Religious Exemption",25487,3155070,8078.10920201454,56.9284,63481,92,28.2 -"17","Kansas",89.8,"Religious Exemption",22183,2913314,7614.35258952519,35.5968,57872,90.7,32.9 -"18","Kentucky",92.7,"Religious Exemption",35323,4467673,7906.35303881909,113.9566,51348,85.7,23.6 -"19","Louisiana",91.3,"Religious Exemption",36324,4648794,7813.63940841431,107.5174,43903,84.8,23.7 -"20","Maine",93.7,"Medical Exemption Only",12684,1344212,9436.01158150649,43.6336,51664,92.3,30.9 -"21","Maryland",92.4,"Religious Exemption",51330,6045680,8490.3600587527,626.6735,81084,90,39.6 -"22","Massachusetts",98.3,"Religious Exemption",71274,6949503,10255.9852121799,894.4359,73227,90.4,42.9 -"23","Michigan",92.2,"Personal Belief Exemption",79874,9986857,7997.91165528855,177.665,57700,90.5,28.6 -"24","Minnesota",94.3,"Personal Belief Exemption",48377,5639632,8578.04197153289,71.5922,71920,93,35.4 -"25","Mississippi",91.8,"Medical Exemption Only",22879,2976149,7687.45113231898,63.7056,43441,83.9,21.8 -"26","Missouri",85.8,"Religious Exemption",49137,6137428,8006.12243434872,89.7453,56885,89.6,28.6 -"27","Montana",92.3,"Religious Exemption",8409,1068778,7867.86404660276,7.4668,59087,93.2,31.2 -"28","Nebraska",93.7,"Religious Exemption",15823,1934408,8179.76352455118,25.4161,59619,91.1,31.3 -"29","Nevada",92.4,"Religious Exemption",19020,3080156,6175.01191498093,28.5993,56550,86.3,24.2 -"30","New Hampshire",94.1,"Religious Exemption",12742,1359711,9371.10900772297,153.161,74801,92.9,36.5 -"31","New Jersey",89,"Religious Exemption",79066,8882190,8901.63349354157,1215.1985,72997,89.5,38.9 -"32","New Mexico",89.3,"Religious Exemption",15027,2096829,7166.53575470389,17.285,47855,85.3,27.1 -"33","New York",92.5,"Medical Exemption Only",192809,19453561,9911.24452741583,412.5218,62447,86.5,35.9 -"34","North Carolina",92.2,"Religious Exemption",72160,10488084,6880.18898399364,218.271,50343,87.4,30.5 -"35","North Dakota",95.7,"Personal Belief Exemption",7289,762062,9564.83855644291,11.0393,59886,92.5,29.5 -"36","Ohio",88.3,"Personal Belief Exemption",101013,11689100,8641.64050269054,287.504,59768,90.1,27.8 -"37","Oklahoma",91.7,"Personal Belief Exemption",29575,3956971,7474.15131422495,57.6546,55006,87.8,25.2 -"38","Oregon",90.3,"Personal Belief Exemption",31920,4217737,7568.03944864272,44.8086,64610,90.4,32.9 -"39","Pennsylvania",91.7,"Personal Belief Exemption",118419,12801989,9250.0470044147,286.5454,63173,90.2,30.8 -"40","Rhode Island",95.3,"Religious Exemption",10071,1059361,9506.67430649231,1021.4313,66390,88,33.3 -"41","South Carolina",88,"Religious Exemption",35299,5148714,6855.88673210437,173.3176,54971,87.1,27.4 -"42","South Dakota",89.9,"Religious Exemption",7616,884659,8608.96684485208,11.9116,56894,91.7,28.5 -"43","Tennessee",92.3,"Religious Exemption",48249,6833174,7060.99391000434,167.2749,55240,87,26.6 -"44","Texas",90.3,"Personal Belief Exemption",188559,28995881,6502.9581270526,112.8204,59295,83.2,29.3 -"45","Utah",88.7,"Personal Belief Exemption",17597,3205958,5488.84296051289,39.943,71319,92,33.3 -"46","Vermont",93.7,"Religious Exemption",6389,623989,10238.9625458141,68.1416,63805,92.6,37.3 -"47","Virginia",97.6,"Religious Exemption",62847,8535519,7362.99690739368,218.4404,71293,89.3,38.2 -"48","Washington",88.5,"Religious Exemption",55819,7614893,7330.24088454033,117.3273,75418,91.1,35.3 -"49","West Virginia",89.9,"Medical Exemption Only",17491,1792147,9759.80206980789,73.9691,45392,86.5,20.3 -"50","Wisconsin",89.9,"Personal Belief Exemption",50109,5822434,8606.19459147154,108.0496,63451,91.9,29.5 -"51","Wyoming",89.1,"Religious Exemption",4856,578759,8390.36628372086,5.84,57837,92.9,26.9 diff --git a/vaccination_viruses/Deliverable 2/README.md b/vaccination_viruses/Deliverable 2/README.md index bc1ec66..779ebe6 100644 --- a/vaccination_viruses/Deliverable 2/README.md +++ b/vaccination_viruses/Deliverable 2/README.md @@ -7,8 +7,6 @@ There are 50 states plus the District of Columbia (DC), which totals to 51 obser we're looking at state data, we found data and created this final dataset by merging the observations with the state name. -VaxRate (2017): - - This label represents the percentage of each state's population that has received the MMR vaccine (measles, mumps, and rubella). The MMR vaccine is one of the most commonly recommended vaccines for individuals and is typically taken at a young age in two doses. @@ -56,6 +54,10 @@ additional insight into trends over the years. - Vaccination rates by state for 2016. +2017 + +- Vaccination rates by state for 2017. + Exemption: - This variable represents the exemptions that each state allows for all mandatory vaccines. From d0f912208c82ac53e7e25bdd377a7d969cc4a6e0 Mon Sep 17 00:00:00 2001 From: Jeffrey Ng Date: Wed, 25 Nov 2020 20:31:42 -0500 Subject: [PATCH 07/11] added code for deliverable 2 --- vaccination_viruses/Deliverable 2/.DS_Store | Bin 0 -> 6148 bytes .../Deliverable 2/code/analyze_data.Rmd | 76 + .../Deliverable 2/code/clean_data.Rmd | 88 + .../Deliverable 2/code/test.png | Bin 0 -> 558440 bytes vaccination_viruses/data/.DS_Store | Bin 0 -> 6148 bytes .../data/EducationSpending.csv | 52 + .../data/cb12-33table1states-1.xls | Bin 0 -> 37888 bytes .../reduction_cases.xlsx | Bin 0 -> 9402 bytes .../reduction_deaths.xlsx | Bin 0 -> 9313 bytes .../vaccinationRates_vs_safety.csv | 2913 +++++++++++++++++ .../vaccine_coverage.pdf | Bin 0 -> 88970 bytes .../data/educational_attainment.csv | 52 + vaccination_viruses/data/full_data.csv | 52 + .../data/healthExpendituresState.csv | 70 + .../data/importance_of_vaccination_poll.csv | 28 + .../data/importance_of_vaccination_poll.xlsx | Bin 0 -> 9283 bytes .../data/medianHouseholdIncome.csv | 52 + .../data/medianHouseholdIncome.xls | Bin 0 -> 81920 bytes .../data/populationDensity.csv | 52 + .../data/population_by_state.csv | 52 + .../data/vaccination_19_35months.csv | 52 + .../vaccination_19_35months_exemption.csv | 52 + .../data/vaccination_not_poverty.csv | 52 + .../data/vaccination_poverty.csv | 52 + .../data/vaccinationrate_and_exemption.csv | 52 + .../data/vaccines_autism_poll.xlsx | Bin 0 -> 9275 bytes .../data/vaccines_danger_poll.xlsx | Bin 0 -> 9223 bytes 27 files changed, 3747 insertions(+) create mode 100644 vaccination_viruses/Deliverable 2/.DS_Store create mode 100644 vaccination_viruses/Deliverable 2/code/analyze_data.Rmd create mode 100644 vaccination_viruses/Deliverable 2/code/clean_data.Rmd create mode 100644 vaccination_viruses/Deliverable 2/code/test.png create mode 100644 vaccination_viruses/data/.DS_Store create mode 100644 vaccination_viruses/data/EducationSpending.csv create mode 100644 vaccination_viruses/data/cb12-33table1states-1.xls create mode 100644 vaccination_viruses/data/data_for_introduction/reduction_cases.xlsx create mode 100644 vaccination_viruses/data/data_for_introduction/reduction_deaths.xlsx create mode 100644 vaccination_viruses/data/data_for_introduction/vaccinationRates_vs_safety.csv create mode 100644 vaccination_viruses/data/data_for_introduction/vaccine_coverage.pdf create mode 100644 vaccination_viruses/data/educational_attainment.csv create mode 100644 vaccination_viruses/data/full_data.csv create mode 100644 vaccination_viruses/data/healthExpendituresState.csv create mode 100644 vaccination_viruses/data/importance_of_vaccination_poll.csv create mode 100644 vaccination_viruses/data/importance_of_vaccination_poll.xlsx create mode 100644 vaccination_viruses/data/medianHouseholdIncome.csv create mode 100644 vaccination_viruses/data/medianHouseholdIncome.xls create mode 100644 vaccination_viruses/data/populationDensity.csv create mode 100644 vaccination_viruses/data/population_by_state.csv create mode 100644 vaccination_viruses/data/vaccination_19_35months.csv create mode 100644 vaccination_viruses/data/vaccination_19_35months_exemption.csv create mode 100644 vaccination_viruses/data/vaccination_not_poverty.csv create mode 100644 vaccination_viruses/data/vaccination_poverty.csv create mode 100644 vaccination_viruses/data/vaccinationrate_and_exemption.csv create mode 100644 vaccination_viruses/data/vaccines_autism_poll.xlsx create mode 100644 vaccination_viruses/data/vaccines_danger_poll.xlsx diff --git a/vaccination_viruses/Deliverable 2/.DS_Store b/vaccination_viruses/Deliverable 2/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..6189ff575ce73635359f24e53c1da1e832e9ec83 GIT binary patch literal 6148 zcmeHKJ5Iw;5Znb9k!Vs2|NJ$ot3saQAu6>xXVOw|)NcJI%i>GgN>IPys4H1^&JQ=-FnAn?SBq zfC^B7lLB@=6u4oXI0pLBfyGAvp#8?X;o4^jV6gzOP89~LKa?v`FD;1yumkM0Rc4__p9zHYwUy`_^0#x8%DWFxeY1a6p z?5&fJvtC=^5AZKTt(Rl*Rt)r3jE%M8+q1f2*T~n2W1!O!cRG+i0;UU%3jBrwM@i`^ A#sB~S literal 0 HcmV?d00001 diff --git a/vaccination_viruses/Deliverable 2/code/analyze_data.Rmd b/vaccination_viruses/Deliverable 2/code/analyze_data.Rmd new file mode 100644 index 0000000..c9700bc --- /dev/null +++ b/vaccination_viruses/Deliverable 2/code/analyze_data.Rmd @@ -0,0 +1,76 @@ +--- +title: "analyze_data" +output: pdf_document +--- + +```{r setup, include=FALSE} +library(tidyverse) +library(olsrr) +library(reshape2) +library(broom) +data <- read.csv(file = "../../data/full_data.csv") +data = data %>% + rename( + `2007` = X2007, + `2008` = X2008, + `2009` = X2009, + `2010` = X2010, + `2011` = X2011, + `2012` = X2012, + `2013` = X2013, + `2014` = X2014, + `2015` = X2015, + `2016` = X2016, + `2017` = X2017 +) +``` + +```{r plot1} +data2 <- data %>% select(States, `2007`, `2008`, `2009`, `2010`, `2011`, `2012`, `2013`, `2014`, `2015`, `2016`, `2017`) %>% melt() +data2$variable <- as.numeric(data2$variable) +data2 <- data2 %>% mutate(Year = variable + 2006) %>% select(States, Year, value) + +data3 <- data2 %>% filter(States == "Michigan") +#data2 +ggplot(data=data3, aes(x = Year, y = value)) + geom_point() + geom_smooth(method= "lm", se=F) +#data2 + +models = data2 %>% group_by(States) %>% do(model = lm(value ~ Year, data = .)) +trend <- models %>% tidy(model) %>% select(States, term, estimate, p.value) %>% pivot_wider(names_from = term, values_from = c(estimate, p.value)) %>% rename(Intercept = `estimate_(Intercept)`, + Year_coefficient = `estimate_Year`, + p.value_Intercept = `p.value_(Intercept)`) %>% arrange(Year_coefficient) +trend + +ggplot(data=trend, aes(x=reorder(States, Year_coefficient), y=Year_coefficient)) + geom_point() + theme(axis.text.x = element_text(angle=45, hjust=1)) + xlab("State") + ylab("Change in vaccination rate (%)") + ggtitle("Plot of States' change in vaccination rate") + +#ggsave(file="../figures/test.png", width=8, height=4, dpi=500) + +all_data <- merge(data, trend, by="States") +coeffModel <- lm(Year_coefficient~spending_per_capita + population_density + Median_income + HighSchool_Plus + Bachelors_Plus + spending_per_pupil + Exemption, data=all_data) +summary(coeffModel) +ols_coll_diag(coeffModel) +``` + + +```{r regression against vaccination rate} +model3 <- lm(`2011` ~ spending_per_capita + population_density + Median_income + HighSchool_Plus + Bachelors_Plus + spending_per_pupil + Exemption, data=data) + +summary(model3) +ols_coll_diag(model3) + + +``` + +```{r regression2} +model2 <- lm(`2011` ~ spending_per_capita + HighSchool_Plus + Exemption, data=data) +summary(model2) +ols_coll_diag(model2) +#pairs(data %>% select(spending_per_capita, population_density, Median_income, HighSchool_Plus, Bachelors_Plus, spending_per_pupil)) +``` + +```{r logistic regression} +glm.fit <- glm(`2011` ~ Exemption, data=data) +summary(glm.fit) + +``` + diff --git a/vaccination_viruses/Deliverable 2/code/clean_data.Rmd b/vaccination_viruses/Deliverable 2/code/clean_data.Rmd new file mode 100644 index 0000000..0b5427e --- /dev/null +++ b/vaccination_viruses/Deliverable 2/code/clean_data.Rmd @@ -0,0 +1,88 @@ +--- +title: "Clean_data" +output: pdf_document +--- + +```{r setup, include=FALSE} +library(tidyverse) +``` + +```{r clean_healthExpenditures} +# data from 2014 +healthcareSpending_headers <- read.csv(file = '../../data/healthExpendituresState.csv', skip = 1, nrows = 1, as.is = TRUE) +healthcareSpending = read.csv(file = '../../data/healthExpendituresState.csv', skip = 3, nrows = 51, as.is = TRUE) +colnames(healthcareSpending) = healthcareSpending_headers +healthcareSpending$`Total Health Spending` = gsub("\\$", "", healthcareSpending$`Total Health Spending`) +healthcareSpending$`Total Health Spending` = as.numeric(gsub("\\,", "", healthcareSpending$`Total Health Spending`)) +healthcareSpending <- healthcareSpending %>% rename(States = Location) +``` + +```{r clean_population_by_state} +# data from 2019 +population <- read.csv(file = '../../data/population_by_state.csv') +population <- population[order(population$States),] +population$Population = as.numeric(gsub("\\,", "", population$Population)) +``` + +```{r vaccination rate} +# data from 2007-2017 +vaccinationRate <- read.csv(file = '../../data/vaccination_19_35months_exemption.csv') +vaccinationRate = vaccinationRate %>% + rename( + `2007` = X2007, + `2008` = X2008, + `2009` = X2009, + `2010` = X2010, + `2011` = X2011, + `2012` = X2012, + `2013` = X2013, + `2014` = X2014, + `2015` = X2015, + `2016` = X2016, + `2017` = X2017 +) +``` + +```{r populationDensity} +# data from 2020 +populationDensity <- read.csv(file = '../../data/populationDensity.csv') +populationDensity <- subset(populationDensity, select=c('States', 'Density')) +populationDensity = populationDensity %>% rename(population_density = Density) +``` + +```{r medianIncome} +# data from 2017 +medianIncome <- read.csv(file = '../../data/medianHouseholdIncome.csv') +medianIncome <- subset(medianIncome, select=c('States', 'Median_income')) +medianIncome$Median_income = as.numeric(gsub("\\,", "", medianIncome$Median_income)) +``` + +```{r educational_attainment} +# data from 2020 +educational_attainment <- read.csv(file = '../../data/educational_attainment.csv') +``` + +```{r educationSpending} +# data from 2016 +educationSpending <- read.csv(file = '../../data/EducationSpending.csv') +educationSpending$`spending_per_pupil` = gsub("\\$", "", educationSpending$`spending_per_pupil`) +educationSpending$`spending_per_pupil` = as.numeric(gsub("\\,", "", educationSpending$`spending_per_pupil`)) +``` + + +```{r merge_all_data and export} +# Vaccination data is from 2017, Exemption is from 2020, Healthcare spending is from 2014 + +data <- merge(vaccinationRate, healthcareSpending, by="States") +data <- merge(data, population, by="States") +data <- data %>% mutate(spending_per_capita = (`Total Health Spending`/Population)*1000000) +data <- merge(data, populationDensity, by="States") +data <- merge(data, medianIncome, by="States") +data <- merge(data, educational_attainment, by="States") +data <- merge(data, educationSpending, by="States") +write.csv(data, "data/full_data.csv") +``` + + + + diff --git a/vaccination_viruses/Deliverable 2/code/test.png b/vaccination_viruses/Deliverable 2/code/test.png new file mode 100644 index 0000000000000000000000000000000000000000..0025a5747e7ae99429c4dacbe253548aa0a3c59c GIT binary patch literal 558440 zcmeFZbyU>r+BXg;pdx|+NDc;F(j_H|(jwg|0@Bh_L#d#obeDv5cZt&70}Lf0F?7tp z34=O6b5S@@khuIp3R_v2HQ$E25NF5%(fk;*@L_zVw^ zEDaBjc<=%d_|AA)S|%Red1?z;*{4>rk7ezw?HttKyf86+Y-(%jU}5s?@dG?Ok&qBg z!`F10HzeyF&F|dpSGN{;@AOrQl!-J_OCY_X&UnllM82(O3`Es?ISGtwQz2>J0?1!Ty zG{nMeiF08jkWf?IGBB1rthen*?lOkAWZXDS*%Fbrx}5Pc(Rn7V^v(8*(^Q+5*YEdj ze&h_qr%Jxteqn&&5M)~Usn)8P7m+G=a$&*B#;b~M9v+kU`KlCA`1EW-arV{ihXw_3 z;=HER%)-h~x1cNUg!VZXxB>@+SGv_(Ci3$l+mc#bTB`;1_V&cjfBRUcpRn8EfU!|e 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zXO$Lb>t@)vRKGww`BJl|$LGNRwAyF)9Qx^@_AN8{Ta?$q#qca4-)#;x13VG_7U>~; zn{-jm!$-jlDjQi3FgC%#OytnF21V$s&sS{sm3Nt)^WUO+5uFTAp!^N5H67A!+(G-6 zO1I%mbZBQFzd>73L{1&_9*RToZNk2AT->P)Q#}S8T zpxYb``^dBey_aML1;VnwkeTmh<{fThr5(0B)qeV5r<;>BY)E>$9S3@|RDZMn|L(8JHM#yBI=hv-`ebqQxt^!^&&?gH{YU?+ z{2S!H>h^Lw4{*D9%1++Vmq)wY<2txQ|LtveZ-+CyA%s*k$Y-OnRhg=Py6|-;o*g`| z{=c*T)AMNmr)R7K|H_i zdhk5h_2hYo>&5dM?oggzc3pUW#qGm$U)PoAey$tO{atsSUv&rg^i(;eOYhmq>qO6; zJx$MDyhA`ecXJ(i{+rvK=a*b3o_n}GdG6(^dG75xBTwm;T%}u2rCU$wRZrTTi81Pw7=p=~YkZRZpc`Po-N=rCU$wRZrThB_mrC0r5deu{U z)l=!xQ|Z#Pk}m00|Ce6%lwS3e-t?5-^e4UPDZS|_z3C~vt=j3Oa+!3l%d(TjEY${3Vr0mB#D~bb0+6?I!uZqPxuN;t2nDC4YT Date: Tue, 24 Nov 2020 14:31:41 -0500 Subject: [PATCH 03/11] merged all data into one dataset --- .../data/medianHouseholdIncome.xls | Bin 81920 -> 81920 bytes .../Deliverable 1/data/populationDensity.csv | 105 +++++++++--------- 2 files changed, 52 insertions(+), 53 deletions(-) diff --git a/vaccination_viruses/Deliverable 1/data/medianHouseholdIncome.xls b/vaccination_viruses/Deliverable 1/data/medianHouseholdIncome.xls index bbca333d9d961fd01ab3dc4a8b9f167578475d82..6042edc59c651655fa334d3bca2d56e8e5d1ed7f 100644 GIT binary patch delta 24 fcmZo@U~On%-H^k=>abX`sIR$@WqTnDW4|>3XzK_g delta 24 fcmZo@U~On%-H^k=YS6W`PNKPxWqTnDW4|>3Xx<1E diff --git a/vaccination_viruses/Deliverable 1/data/populationDensity.csv b/vaccination_viruses/Deliverable 1/data/populationDensity.csv index b831f6e..2a2f8c6 100644 --- a/vaccination_viruses/Deliverable 1/data/populationDensity.csv +++ b/vaccination_viruses/Deliverable 1/data/populationDensity.csv @@ -1,53 +1,52 @@ -"State","Density","Pop","LandArea" -"Washington DC","11814.5410","720687","61" -"New Jersey","1215.1985","8936570","7354" -"Rhode Island","1021.4313","1056160","1034" -"Massachusetts","894.4359","6976600","7800" -"Puerto Rico","876.6002","3032160","3459" -"Connecticut","735.8695","3563080","4842" -"Maryland","626.6735","6083120","9707" -"Delaware","504.3073","982895","1949" -"New York","412.5218","19440500","47126" -"Florida","410.1259","21993000","53625" -"Ohio","287.5040","11747700","40861" -"Pennsylvania","286.5454","12820900","44743" -"California","256.3728","39937500","155779" -"Illinois","228.0246","12659700","55519" -"Hawaii","219.9424","1412690","6423" -"Virginia","218.4404","8626210","39490" -"North Carolina","218.2710","10611900","48618" -"Indiana","188.2809","6745350","35826" -"Georgia","186.6726","10736100","57513" -"Michigan","177.6650","10045000","56539" -"South Carolina","173.3176","5210100","30061" -"Tennessee","167.2749","6897580","41235" -"New Hampshire","153.1610","1371250","8953" -"Washington","117.3273","7797100","66456" -"Kentucky","113.9566","4499690","39486" -"Texas","112.8204","29472300","261232" -"Wisconsin","108.0496","5851750","54158" -"Louisiana","107.5174","4645180","43204" -"Alabama","96.9221","4908620","50645" -"Missouri","89.7453","6169270","68742" -"West Virginia","73.9691","1778070","24038" -"Minnesota","71.5922","5700670","79627" -"Vermont","68.1416","628061","9217" -"Arizona","64.9549","7378490","113594" -"Mississippi","63.7056","2989260","46923" -"Arkansas","58.4030","3039000","52035" -"Oklahoma","57.6546","3954820","68595" -"Iowa","56.9284","3179850","55857" -"Colorado","56.4012","5845530","103642" -"Oregon","44.8086","4301090","95988" -"Maine","43.6336","1345790","30843" -"Utah","39.9430","3282120","82170" -"Kansas","35.5968","2910360","81759" -"Nevada","28.5993","3139660","109781" -"Nebraska","25.4161","1952570","76824" -"Idaho","22.0970","1826160","82643" -"New Mexico","17.2850","2096640","121298" -"South Dakota","11.9116","903027","75811" -"North Dakota","11.0393","761723","69001" -"Montana","7.4668","1086760","145546" -"Wyoming","5.8400","567025","97093" -"Alaska","1.2863","734002","570641" \ No newline at end of file +States,Density,Pop,LandArea +District of Columbia,11814.541,720687,61 +New Jersey,1215.1985,8936570,7354 +Rhode Island,1021.4313,1056160,1034 +Massachusetts,894.4359,6976600,7800 +Connecticut,735.8695,3563080,4842 +Maryland,626.6735,6083120,9707 +Delaware,504.3073,982895,1949 +New York,412.5218,19440500,47126 +Florida,410.1259,21993000,53625 +Ohio,287.504,11747700,40861 +Pennsylvania,286.5454,12820900,44743 +California,256.3728,39937500,155779 +Illinois,228.0246,12659700,55519 +Hawaii,219.9424,1412690,6423 +Virginia,218.4404,8626210,39490 +North Carolina,218.271,10611900,48618 +Indiana,188.2809,6745350,35826 +Georgia,186.6726,10736100,57513 +Michigan,177.665,10045000,56539 +South Carolina,173.3176,5210100,30061 +Tennessee,167.2749,6897580,41235 +New Hampshire,153.161,1371250,8953 +Washington,117.3273,7797100,66456 +Kentucky,113.9566,4499690,39486 +Texas,112.8204,29472300,261232 +Wisconsin,108.0496,5851750,54158 +Louisiana,107.5174,4645180,43204 +Alabama,96.9221,4908620,50645 +Missouri,89.7453,6169270,68742 +West Virginia,73.9691,1778070,24038 +Minnesota,71.5922,5700670,79627 +Vermont,68.1416,628061,9217 +Arizona,64.9549,7378490,113594 +Mississippi,63.7056,2989260,46923 +Arkansas,58.403,3039000,52035 +Oklahoma,57.6546,3954820,68595 +Iowa,56.9284,3179850,55857 +Colorado,56.4012,5845530,103642 +Oregon,44.8086,4301090,95988 +Maine,43.6336,1345790,30843 +Utah,39.943,3282120,82170 +Kansas,35.5968,2910360,81759 +Nevada,28.5993,3139660,109781 +Nebraska,25.4161,1952570,76824 +Idaho,22.097,1826160,82643 +New Mexico,17.285,2096640,121298 +South Dakota,11.9116,903027,75811 +North Dakota,11.0393,761723,69001 +Montana,7.4668,1086760,145546 +Wyoming,5.84,567025,97093 +Alaska,1.2863,734002,570641 \ No newline at end of file From 07bad8a4fc8936e17ac640a2db60fa115b3fb8a4 Mon Sep 17 00:00:00 2001 From: Jeffrey Ng Date: Tue, 24 Nov 2020 14:34:24 -0500 Subject: [PATCH 04/11] adde data --- .DS_Store | Bin 0 -> 8196 bytes vaccination_viruses/.DS_Store | Bin 0 -> 8196 bytes vaccination_viruses/Deliverable 1/.DS_Store | Bin 0 -> 8196 bytes .../Deliverable 1/clean_data.Rmd | 72 ++++++++++++++++++ .../data/educational_attainment.csv | 52 +++++++++++++ .../Deliverable 1/data/full_data.csv | 52 +++++++++++++ .../data/importance_of_vaccination_poll.csv | 28 +++++++ .../data/medianHouseholdIncome.csv | 52 +++++++++++++ .../Deliverable 1/data\\full_data.csv" | 52 +++++++++++++ 9 files changed, 308 insertions(+) create mode 100644 .DS_Store create mode 100644 vaccination_viruses/.DS_Store create mode 100644 vaccination_viruses/Deliverable 1/.DS_Store create mode 100644 vaccination_viruses/Deliverable 1/clean_data.Rmd create mode 100644 vaccination_viruses/Deliverable 1/data/educational_attainment.csv create mode 100644 vaccination_viruses/Deliverable 1/data/full_data.csv create mode 100644 vaccination_viruses/Deliverable 1/data/importance_of_vaccination_poll.csv create mode 100644 vaccination_viruses/Deliverable 1/data/medianHouseholdIncome.csv create mode 100644 "vaccination_viruses/Deliverable 1/data\\full_data.csv" diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 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1/clean_data.Rmd new file mode 100644 index 0000000..1c147db --- /dev/null +++ b/vaccination_viruses/Deliverable 1/clean_data.Rmd @@ -0,0 +1,72 @@ +--- +title: "Clean_data" +output: pdf_document +--- + +```{r setup, include=FALSE} +library(tidyverse) +``` + +```{r clean_healthExpenditures} +# data from 2014 +healthcareSpending_headers <- read.csv(file = 'data/healthExpendituresState.csv', skip = 1, nrows = 1, as.is = TRUE) +healthcareSpending = read.csv(file = 'data/healthExpendituresState.csv', skip = 3, nrows = 51, as.is = TRUE) +colnames(healthcareSpending) = healthcareSpending_headers +healthcareSpending$`Total Health Spending` = gsub("\\$", "", healthcareSpending$`Total Health Spending`) +healthcareSpending$`Total Health Spending` = as.numeric(gsub("\\,", "", healthcareSpending$`Total Health Spending`)) +healthcareSpending <- healthcareSpending %>% rename(States = Location) +``` + +```{r clean_population_by_state} +# data from 2019 +population <- read.csv(file = 'data/population_by_state.csv') +population <- population[order(population$States),] +population$Population = as.numeric(gsub("\\,", "", population$Population)) +``` + +```{r vaccination rate} +# data from 2017 +vaccinationRate <- read.csv(file = 'data/vaccinationrate_and_exemption.csv') +vaccinationRate <- vaccinationRate %>% rename(VaxRate = `X.`) +vaccinationRate <- subset(vaccinationRate, select=c('States', 'VaxRate', 'Exemption')) +``` + +```{r populationDensity} +# data from 2020 +populationDensity <- read.csv(file = 'data/populationDensity.csv') +populationDensity <- subset(populationDensity, select=c('States', 'Density')) +populationDensity = populationDensity %>% rename(population_density = Density) +``` + +```{r medianIncome} +# data from 2017 +medianIncome <- read.csv(file = 'data/medianHouseholdIncome.csv') +medianIncome <- subset(medianIncome, select=c('States', 'Median_income')) +medianIncome$Median_income = as.numeric(gsub("\\,", "", medianIncome$Median_income)) +``` + +```{r educational_attainment} +# data from 2020 +educational_attainment <- read.csv(file = 'data/educational_attainment.csv') + + +``` + + +```{r merge_all_data and export} +# Vaccination data is from 2017, Exemption is from 2020, Healthcare spending is from 2014 + +data <- merge(vaccinationRate, healthcareSpending, by="States") +data <- merge(data, population, by="States") +data <- data %>% mutate(spending_per_capita = (`Total Health Spending`/Population)*1000000) +data <- merge(data, populationDensity, by="States") +data <- merge(data, medianIncome, by="States") +data <- merge(data, educational_attainment, by="States") +write.csv(data, "data\\full_data.csv") +``` + +```{} + + + + diff --git a/vaccination_viruses/Deliverable 1/data/educational_attainment.csv b/vaccination_viruses/Deliverable 1/data/educational_attainment.csv new file mode 100644 index 0000000..23c27cd --- /dev/null +++ b/vaccination_viruses/Deliverable 1/data/educational_attainment.csv @@ -0,0 +1,52 @@ +States,HighSchool_Plus,Bachelors_Plus +Montana,93.2,31.2 +Minnesota,93,35.4 +Wyoming,92.9,26.9 +New Hampshire,92.9,36.5 +Alaska,92.7,29.2 +Vermont,92.6,37.3 +North Dakota,92.5,29.5 +Maine,92.3,30.9 +Utah,92,33.3 +Iowa,92,28.2 +Wisconsin,91.9,29.5 +Hawaii,91.8,32.5 +South Dakota,91.7,28.5 +Colorado,91.4,40.1 +Washington,91.1,35.3 +Nebraska,91.1,31.3 +Kansas,90.7,32.9 +Idaho,90.6,26.9 +District of Columbia,90.6,57.6 +Michigan,90.5,28.6 +Connecticut,90.5,38.9 +Oregon,90.4,32.9 +Massachusetts,90.4,42.9 +Pennsylvania,90.2,30.8 +Ohio,90.1,27.8 +Maryland,90,39.6 +Delaware,89.8,31.4 +Missouri,89.6,28.6 +New Jersey,89.5,38.9 +Virginia,89.3,38.2 +Illinois,88.9,34.1 +Indiana,88.6,25.9 +Rhode Island,88,33.3 +Florida,88,29.2 +Oklahoma,87.8,25.2 +North Carolina,87.4,30.5 +South Carolina,87.1,27.4 +Tennessee,87,26.6 +Arizona,86.8,28.9 +Georgia,86.7,30.7 +West Virginia,86.5,20.3 +New York,86.5,35.9 +Nevada,86.3,24.2 +Arkansas,86.2,22.6 +Alabama,85.8,24.9 +Kentucky,85.7,23.6 +New Mexico,85.3,27.1 +Louisiana,84.8,23.7 +Mississippi,83.9,21.8 +Texas,83.2,29.3 +California,82.9,33.3 \ No newline at end of file diff --git a/vaccination_viruses/Deliverable 1/data/full_data.csv b/vaccination_viruses/Deliverable 1/data/full_data.csv new file mode 100644 index 0000000..dd030ee --- /dev/null +++ b/vaccination_viruses/Deliverable 1/data/full_data.csv @@ -0,0 +1,52 @@ +"","States","VaxRate","Exemption","Total Health Spending","Population","spending_per_capita","population_density","Median_income","HighSchool_Plus","Bachelors_Plus" +"1","Alabama",92.3,"Religious Exemption",35263,4903185,7191.85590590606,96.9221,51113,85.8,24.9 +"2","Alaska",89.3,"Religious Exemption",8151,731545,11142.1717050899,1.2863,72231,92.7,29.2 +"3","Arizona",91.7,"Personal Belief Exemption",43356,7278717,5956.54426460048,64.9549,61125,86.8,28.9 +"4","Arkansas",92.6,"Personal Belief Exemption",21980,3017825,7283.39118404811,58.403,48829,86.2,22.6 +"5","California",92.9,"Medical Exemption Only",291989,39512223,7389.83984778584,256.3728,69759,82.9,33.3 +"6","Colorado",87.2,"Personal Belief Exemption",36398,5758736,6320.48421736992,56.4012,74172,91.4,40.1 +"7","Connecticut",94.6,"Religious Exemption",35413,3565287,9932.72070383114,735.8695,72780,90.5,38.9 +"8","Delaware",92.9,"Religious Exemption",9587,973764,9845.30132557786,504.3073,62318,89.8,31.4 +"9","District of Columbia",94.1,"Religious Exemption",7871,705749,11152.6902624021,11814.541,83382,90.6,57.6 +"10","Florida",91.9,"Religious Exemption",160624,21477737,7478.62775300768,410.1259,53681,88,29.2 +"11","Georgia",90.7,"Religious Exemption",66447,10617423,6258.29827068207,186.6726,57016,86.7,30.7 +"12","Hawaii",90.5,"Religious Exemption",10338,1415872,7301.50748090223,219.9424,73575,91.8,32.5 +"13","Idaho",92.2,"Personal Belief Exemption",11315,1787065,6331.61076961386,22.097,60208,90.6,26.9 +"14","Illinois",91.9,"Religious Exemption",106306,12671821,8389.16521942663,228.0246,64609,88.9,34.1 +"15","Indiana",87,"Religious Exemption",54741,6732219,8131.19715802472,188.2809,58873,88.6,25.9 +"16","Iowa",91.5,"Religious Exemption",25487,3155070,8078.10920201454,56.9284,63481,92,28.2 +"17","Kansas",89.8,"Religious Exemption",22183,2913314,7614.35258952519,35.5968,57872,90.7,32.9 +"18","Kentucky",92.7,"Religious Exemption",35323,4467673,7906.35303881909,113.9566,51348,85.7,23.6 +"19","Louisiana",91.3,"Religious Exemption",36324,4648794,7813.63940841431,107.5174,43903,84.8,23.7 +"20","Maine",93.7,"Medical Exemption Only",12684,1344212,9436.01158150649,43.6336,51664,92.3,30.9 +"21","Maryland",92.4,"Religious Exemption",51330,6045680,8490.3600587527,626.6735,81084,90,39.6 +"22","Massachusetts",98.3,"Religious Exemption",71274,6949503,10255.9852121799,894.4359,73227,90.4,42.9 +"23","Michigan",92.2,"Personal Belief Exemption",79874,9986857,7997.91165528855,177.665,57700,90.5,28.6 +"24","Minnesota",94.3,"Personal Belief Exemption",48377,5639632,8578.04197153289,71.5922,71920,93,35.4 +"25","Mississippi",91.8,"Medical Exemption Only",22879,2976149,7687.45113231898,63.7056,43441,83.9,21.8 +"26","Missouri",85.8,"Religious Exemption",49137,6137428,8006.12243434872,89.7453,56885,89.6,28.6 +"27","Montana",92.3,"Religious Exemption",8409,1068778,7867.86404660276,7.4668,59087,93.2,31.2 +"28","Nebraska",93.7,"Religious Exemption",15823,1934408,8179.76352455118,25.4161,59619,91.1,31.3 +"29","Nevada",92.4,"Religious Exemption",19020,3080156,6175.01191498093,28.5993,56550,86.3,24.2 +"30","New Hampshire",94.1,"Religious Exemption",12742,1359711,9371.10900772297,153.161,74801,92.9,36.5 +"31","New Jersey",89,"Religious Exemption",79066,8882190,8901.63349354157,1215.1985,72997,89.5,38.9 +"32","New Mexico",89.3,"Religious Exemption",15027,2096829,7166.53575470389,17.285,47855,85.3,27.1 +"33","New York",92.5,"Medical Exemption Only",192809,19453561,9911.24452741583,412.5218,62447,86.5,35.9 +"34","North Carolina",92.2,"Religious Exemption",72160,10488084,6880.18898399364,218.271,50343,87.4,30.5 +"35","North Dakota",95.7,"Personal Belief Exemption",7289,762062,9564.83855644291,11.0393,59886,92.5,29.5 +"36","Ohio",88.3,"Personal Belief Exemption",101013,11689100,8641.64050269054,287.504,59768,90.1,27.8 +"37","Oklahoma",91.7,"Personal Belief Exemption",29575,3956971,7474.15131422495,57.6546,55006,87.8,25.2 +"38","Oregon",90.3,"Personal Belief Exemption",31920,4217737,7568.03944864272,44.8086,64610,90.4,32.9 +"39","Pennsylvania",91.7,"Personal Belief Exemption",118419,12801989,9250.0470044147,286.5454,63173,90.2,30.8 +"40","Rhode Island",95.3,"Religious Exemption",10071,1059361,9506.67430649231,1021.4313,66390,88,33.3 +"41","South Carolina",88,"Religious Exemption",35299,5148714,6855.88673210437,173.3176,54971,87.1,27.4 +"42","South Dakota",89.9,"Religious Exemption",7616,884659,8608.96684485208,11.9116,56894,91.7,28.5 +"43","Tennessee",92.3,"Religious Exemption",48249,6833174,7060.99391000434,167.2749,55240,87,26.6 +"44","Texas",90.3,"Personal Belief Exemption",188559,28995881,6502.9581270526,112.8204,59295,83.2,29.3 +"45","Utah",88.7,"Personal Belief Exemption",17597,3205958,5488.84296051289,39.943,71319,92,33.3 +"46","Vermont",93.7,"Religious Exemption",6389,623989,10238.9625458141,68.1416,63805,92.6,37.3 +"47","Virginia",97.6,"Religious Exemption",62847,8535519,7362.99690739368,218.4404,71293,89.3,38.2 +"48","Washington",88.5,"Religious Exemption",55819,7614893,7330.24088454033,117.3273,75418,91.1,35.3 +"49","West Virginia",89.9,"Medical Exemption Only",17491,1792147,9759.80206980789,73.9691,45392,86.5,20.3 +"50","Wisconsin",89.9,"Personal Belief Exemption",50109,5822434,8606.19459147154,108.0496,63451,91.9,29.5 +"51","Wyoming",89.1,"Religious Exemption",4856,578759,8390.36628372086,5.84,57837,92.9,26.9 diff --git a/vaccination_viruses/Deliverable 1/data/importance_of_vaccination_poll.csv b/vaccination_viruses/Deliverable 1/data/importance_of_vaccination_poll.csv new file mode 100644 index 0000000..fde55ea --- /dev/null +++ b/vaccination_viruses/Deliverable 1/data/importance_of_vaccination_poll.csv @@ -0,0 +1,28 @@ +,2001,2015,2019 +,%,%,% +All Americans,94,84,84 +,,, +Gender,,, +Male,91,81,82 +Female,96,88,85 +,,, +Age,,, +18-29,94,72,83 +30-49,92,87,80 +50-64,94,86,85 +65+,96,90,91 +,,, +Education,,, +Postgrad,92,92,90 +College grad only,94,79,89 +Some college,93,86,77 +HS grad or less,93,82,84 +,,, +Political affiliation,,, +Republican,93,82,79 +Independent,91,83,82 +Democrat,97,88,92 +,,, +Parental status,,, +Americans with children under 18,92,85,77 +Americans with no children under 18,94,90,87 \ No newline at end of file diff --git a/vaccination_viruses/Deliverable 1/data/medianHouseholdIncome.csv b/vaccination_viruses/Deliverable 1/data/medianHouseholdIncome.csv new file mode 100644 index 0000000..235ecec --- /dev/null +++ b/vaccination_viruses/Deliverable 1/data/medianHouseholdIncome.csv @@ -0,0 +1,52 @@ +States,Median_income,Standard_error +Alabama,"51,113",845 +Alaska,"72,231","2,719" +Arizona,"61,125","2,642" +Arkansas,"48,829","2,642" +California,"69,759","1,452" +Colorado,"74,172","2,982" +Connecticut,"72,780","3,509" +Delaware,"62,318","3,300" +District of Columbia,"83,382","3,319" +Florida,"53,681","1,816" +Georgia,"57,016","2,434" +Hawaii,"73,575","2,227" +Idaho,"60,208","2,400" +Illinois,"64,609","1,999" +Indiana,"58,873","2,026" +Iowa,"63,481","5,512" +Kansas,"57,872","2,898" +Kentucky,"51,348","1,364" +Louisiana,"43,903","1,453" +Maine,"51,664","2,146" +Maryland,"81,084","3,652" +Massachusetts,"73,227","3,328" +Michigan,"57,700","2,337" +Minnesota,"71,920","2,991" +Mississippi,"43,441","2,204" +Missouri,"56,885","2,611" +Montana,"59,087","2,589" +Nebraska,"59,619","2,848" +Nevada,"56,550","3,039" +New Hampshire,"74,801","3,041" +New Jersey,"72,997","2,999" +New Mexico,"47,855","1,969" +New York,"62,447","2,093" +North Carolina,"50,343","1,760" +North Dakota,"59,886","1,676" +Ohio,"59,768","1,890" +Oklahoma,"55,006","3,102" +Oregon,"64,610","2,856" +Pennsylvania,"63,173","2,753" +Rhode Island,"66,390","4,209" +South Carolina,"54,971","2,078" +South Dakota,"56,894","3,633" +Tennessee,"55,240","2,162" +Texas,"59,295","1,702" +Utah,"71,319","2,250" +Vermont,"63,805","3,133" +Virginia,"71,293","3,276" +Washington,"75,418","3,307" +West Virginia,"45,392","1,485" +Wisconsin,"63,451","3,673" +Wyoming,"57,837","3,134" \ No newline at end of file diff --git "a/vaccination_viruses/Deliverable 1/data\\full_data.csv" "b/vaccination_viruses/Deliverable 1/data\\full_data.csv" new file mode 100644 index 0000000..dd030ee --- /dev/null +++ "b/vaccination_viruses/Deliverable 1/data\\full_data.csv" @@ -0,0 +1,52 @@ +"","States","VaxRate","Exemption","Total Health Spending","Population","spending_per_capita","population_density","Median_income","HighSchool_Plus","Bachelors_Plus" +"1","Alabama",92.3,"Religious Exemption",35263,4903185,7191.85590590606,96.9221,51113,85.8,24.9 +"2","Alaska",89.3,"Religious Exemption",8151,731545,11142.1717050899,1.2863,72231,92.7,29.2 +"3","Arizona",91.7,"Personal Belief Exemption",43356,7278717,5956.54426460048,64.9549,61125,86.8,28.9 +"4","Arkansas",92.6,"Personal Belief Exemption",21980,3017825,7283.39118404811,58.403,48829,86.2,22.6 +"5","California",92.9,"Medical Exemption Only",291989,39512223,7389.83984778584,256.3728,69759,82.9,33.3 +"6","Colorado",87.2,"Personal Belief Exemption",36398,5758736,6320.48421736992,56.4012,74172,91.4,40.1 +"7","Connecticut",94.6,"Religious Exemption",35413,3565287,9932.72070383114,735.8695,72780,90.5,38.9 +"8","Delaware",92.9,"Religious Exemption",9587,973764,9845.30132557786,504.3073,62318,89.8,31.4 +"9","District of Columbia",94.1,"Religious Exemption",7871,705749,11152.6902624021,11814.541,83382,90.6,57.6 +"10","Florida",91.9,"Religious Exemption",160624,21477737,7478.62775300768,410.1259,53681,88,29.2 +"11","Georgia",90.7,"Religious Exemption",66447,10617423,6258.29827068207,186.6726,57016,86.7,30.7 +"12","Hawaii",90.5,"Religious Exemption",10338,1415872,7301.50748090223,219.9424,73575,91.8,32.5 +"13","Idaho",92.2,"Personal Belief Exemption",11315,1787065,6331.61076961386,22.097,60208,90.6,26.9 +"14","Illinois",91.9,"Religious Exemption",106306,12671821,8389.16521942663,228.0246,64609,88.9,34.1 +"15","Indiana",87,"Religious Exemption",54741,6732219,8131.19715802472,188.2809,58873,88.6,25.9 +"16","Iowa",91.5,"Religious Exemption",25487,3155070,8078.10920201454,56.9284,63481,92,28.2 +"17","Kansas",89.8,"Religious Exemption",22183,2913314,7614.35258952519,35.5968,57872,90.7,32.9 +"18","Kentucky",92.7,"Religious Exemption",35323,4467673,7906.35303881909,113.9566,51348,85.7,23.6 +"19","Louisiana",91.3,"Religious Exemption",36324,4648794,7813.63940841431,107.5174,43903,84.8,23.7 +"20","Maine",93.7,"Medical Exemption Only",12684,1344212,9436.01158150649,43.6336,51664,92.3,30.9 +"21","Maryland",92.4,"Religious Exemption",51330,6045680,8490.3600587527,626.6735,81084,90,39.6 +"22","Massachusetts",98.3,"Religious Exemption",71274,6949503,10255.9852121799,894.4359,73227,90.4,42.9 +"23","Michigan",92.2,"Personal Belief Exemption",79874,9986857,7997.91165528855,177.665,57700,90.5,28.6 +"24","Minnesota",94.3,"Personal Belief Exemption",48377,5639632,8578.04197153289,71.5922,71920,93,35.4 +"25","Mississippi",91.8,"Medical Exemption Only",22879,2976149,7687.45113231898,63.7056,43441,83.9,21.8 +"26","Missouri",85.8,"Religious Exemption",49137,6137428,8006.12243434872,89.7453,56885,89.6,28.6 +"27","Montana",92.3,"Religious Exemption",8409,1068778,7867.86404660276,7.4668,59087,93.2,31.2 +"28","Nebraska",93.7,"Religious Exemption",15823,1934408,8179.76352455118,25.4161,59619,91.1,31.3 +"29","Nevada",92.4,"Religious Exemption",19020,3080156,6175.01191498093,28.5993,56550,86.3,24.2 +"30","New Hampshire",94.1,"Religious Exemption",12742,1359711,9371.10900772297,153.161,74801,92.9,36.5 +"31","New Jersey",89,"Religious Exemption",79066,8882190,8901.63349354157,1215.1985,72997,89.5,38.9 +"32","New Mexico",89.3,"Religious Exemption",15027,2096829,7166.53575470389,17.285,47855,85.3,27.1 +"33","New York",92.5,"Medical Exemption Only",192809,19453561,9911.24452741583,412.5218,62447,86.5,35.9 +"34","North Carolina",92.2,"Religious Exemption",72160,10488084,6880.18898399364,218.271,50343,87.4,30.5 +"35","North Dakota",95.7,"Personal Belief Exemption",7289,762062,9564.83855644291,11.0393,59886,92.5,29.5 +"36","Ohio",88.3,"Personal Belief Exemption",101013,11689100,8641.64050269054,287.504,59768,90.1,27.8 +"37","Oklahoma",91.7,"Personal Belief Exemption",29575,3956971,7474.15131422495,57.6546,55006,87.8,25.2 +"38","Oregon",90.3,"Personal Belief Exemption",31920,4217737,7568.03944864272,44.8086,64610,90.4,32.9 +"39","Pennsylvania",91.7,"Personal Belief Exemption",118419,12801989,9250.0470044147,286.5454,63173,90.2,30.8 +"40","Rhode Island",95.3,"Religious Exemption",10071,1059361,9506.67430649231,1021.4313,66390,88,33.3 +"41","South Carolina",88,"Religious Exemption",35299,5148714,6855.88673210437,173.3176,54971,87.1,27.4 +"42","South Dakota",89.9,"Religious Exemption",7616,884659,8608.96684485208,11.9116,56894,91.7,28.5 +"43","Tennessee",92.3,"Religious Exemption",48249,6833174,7060.99391000434,167.2749,55240,87,26.6 +"44","Texas",90.3,"Personal Belief Exemption",188559,28995881,6502.9581270526,112.8204,59295,83.2,29.3 +"45","Utah",88.7,"Personal Belief Exemption",17597,3205958,5488.84296051289,39.943,71319,92,33.3 +"46","Vermont",93.7,"Religious Exemption",6389,623989,10238.9625458141,68.1416,63805,92.6,37.3 +"47","Virginia",97.6,"Religious Exemption",62847,8535519,7362.99690739368,218.4404,71293,89.3,38.2 +"48","Washington",88.5,"Religious Exemption",55819,7614893,7330.24088454033,117.3273,75418,91.1,35.3 +"49","West Virginia",89.9,"Medical Exemption Only",17491,1792147,9759.80206980789,73.9691,45392,86.5,20.3 +"50","Wisconsin",89.9,"Personal Belief Exemption",50109,5822434,8606.19459147154,108.0496,63451,91.9,29.5 +"51","Wyoming",89.1,"Religious Exemption",4856,578759,8390.36628372086,5.84,57837,92.9,26.9 From 08dcb6cccf29e2d9ec42f80eeeead3b20dd4aed2 Mon Sep 17 00:00:00 2001 From: Albert Fung Date: Wed, 25 Nov 2020 20:17:15 -0500 Subject: [PATCH 05/11] Deliverable 2 --- vaccination_viruses/Deliverable 2/README.md | 116 ++++++++++++++++++++ 1 file changed, 116 insertions(+) create mode 100644 vaccination_viruses/Deliverable 2/README.md diff --git a/vaccination_viruses/Deliverable 2/README.md b/vaccination_viruses/Deliverable 2/README.md new file mode 100644 index 0000000..bc1ec66 --- /dev/null +++ b/vaccination_viruses/Deliverable 2/README.md @@ -0,0 +1,116 @@ +This file will cover all the labels/features in our dataset. + +States: + +- This label simply represents each state within the USA. We are primarly be using state data. +There are 50 states plus the District of Columbia (DC), which totals to 51 observations. Since +we're looking at state data, we found data and created this final dataset by merging the +observations with the state name. + +VaxRate (2017): + +- This label represents the percentage of each state's population that has received the MMR +vaccine (measles, mumps, and rubella). The MMR vaccine is one of the most commonly +recommended vaccines for individuals and is typically taken at a young age in two doses. +This vaccine is very commonly required by law for children to attend school. 2017 is the +primarly vaccination rate that we used. We also used, however, others as well to gain +additional insight into trends over the years. + +2007 + +- Vaccination rates by state for 2007. + +2008 + +- Vaccination rates by state for 2008. + +2009 + +- Vaccination rates by state for 2009. + +2010 + +- Vaccination rates by state for 2010. + +2011 + +- Vaccination rates by state for 2011. + +2012 + +- Vaccination rates by state for 2012. + +2013 + +- Vaccination rates by state for 2013. + +2014 + +- Vaccination rates by state for 2014. + +2015 + +- Vaccination rates by state for 2015. + +2016 + +- Vaccination rates by state for 2016. + +Exemption: + +- This variable represents the exemptions that each state allows for all mandatory vaccines. +There are three types of exemptions: religious exemption, medical exemption only, and personal +belief exemptions. Religious and medical exemptions are self-explanatory. Personal belief +exemptions are very broad and may overlap with other exemptions such as religious exemptions. +From strictest vaccination legislation to the most lax: medical exemptions only, religious +exemptions, personal relief exemptions. + +Total Health Spending + +- This feature represents the total health spending that each state spends per year (represented +in millions of dollars). This includes “spending for all privately and publicly funded personal +health care services and products (hospital care, physician services, nursing home care, +prescription drugs, etc.) by state of residence. It should be noted, however, that we decided it +would be prudent to find the per capita since states have widely varying populations. Therefore, +just examining the total health spending per state would fail to take into account that the +population may play a role (states with lower populations likely spend much less and vice versa). + +Population + +- Represents the population of each state. This feature can be used for a myriad of things. For +example, it was used in conjunction with the "Total Health Spending" feature to find the total +health spending per capita in each state. + +spending_per_capita + +- This feature represents the total health spending per capita for each state. This was a variable +that we created by dividing the "Total Health Spending" observations by the "Population" +observations. This feature will give us more reliable readings on how much each state spends on +health by removing any skewing of the data that might affect "Total Health Spending" due to +population size differences. + +population_density + +- Represents the number of people per square mile for each state. This feature may have multiple +uses. It provides insight into the geograph and demographics of different states. + +Median_income + +- Represents the median household income in per state. The values are indicated in dollars. + +HighSchool_Plus + +- Represents the percentage of residents in each state that have completed at least +high school. This percentage also includes those who have completed studies after high school +such as undergraduate degree (bachelor's). + +Bachelor_Plus + +- Represents the percentage of residents in each state that have completed at least a +bachelor's (undergraduate degree). This also includes those who have pursued further +education (postgraduate education, etc). + +spending_per_pupil + +- Represents the amount of dollars spent per elementary and secondary (K-8) student by +state. \ No newline at end of file From 95628d6de6f359dd1701b1760db203d7e601c454 Mon Sep 17 00:00:00 2001 From: Jeffrey Ng Date: Wed, 25 Nov 2020 20:31:35 -0500 Subject: [PATCH 06/11] added code for deliverable 2 --- .DS_Store | Bin 8196 -> 10244 bytes vaccination_viruses/.DS_Store | Bin 8196 -> 14340 bytes vaccination_viruses/Deliverable 1/.DS_Store | Bin 8196 -> 6148 bytes .../Deliverable 1/clean_data.Rmd | 72 - .../Deliverable 1/code/deliverable_1.Rmd | 8 +- .../data/cb12-33table1states-1.xls | Bin 37888 -> 0 bytes .../reduction_cases.xlsx | Bin 9402 -> 0 bytes .../reduction_deaths.xlsx | Bin 9313 -> 0 bytes .../vaccinationRates_vs_safety.csv | 2913 ----------------- .../vaccine_coverage.pdf | Bin 88970 -> 0 bytes .../data/educational_attainment.csv | 52 - .../Deliverable 1/data/full_data.csv | 52 - .../data/healthExpendituresState.csv | 70 - .../data/importance_of_vaccination_poll.csv | 28 - .../data/importance_of_vaccination_poll.xlsx | Bin 9283 -> 0 bytes .../data/medianHouseholdIncome.csv | 52 - .../data/medianHouseholdIncome.xls | Bin 81920 -> 0 bytes .../Deliverable 1/data/populationDensity.csv | 52 - .../data/population_by_state.csv | 52 - .../data/vaccinationrate_and_exemption.csv | 52 - .../data/vaccines_autism_poll.xlsx | Bin 9275 -> 0 bytes .../data/vaccines_danger_poll.xlsx | Bin 9223 -> 0 bytes .../Deliverable 1/data\\full_data.csv" | 52 - vaccination_viruses/Deliverable 2/README.md | 6 +- 24 files changed, 8 insertions(+), 3453 deletions(-) delete mode 100644 vaccination_viruses/Deliverable 1/clean_data.Rmd delete mode 100644 vaccination_viruses/Deliverable 1/data/cb12-33table1states-1.xls delete mode 100644 vaccination_viruses/Deliverable 1/data/data_for_introduction/reduction_cases.xlsx delete mode 100644 vaccination_viruses/Deliverable 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Spending`) -healthcareSpending$`Total Health Spending` = as.numeric(gsub("\\,", "", healthcareSpending$`Total Health Spending`)) -healthcareSpending <- healthcareSpending %>% rename(States = Location) -``` - -```{r clean_population_by_state} -# data from 2019 -population <- read.csv(file = 'data/population_by_state.csv') -population <- population[order(population$States),] -population$Population = as.numeric(gsub("\\,", "", population$Population)) -``` - -```{r vaccination rate} -# data from 2017 -vaccinationRate <- read.csv(file = 'data/vaccinationrate_and_exemption.csv') -vaccinationRate <- vaccinationRate %>% rename(VaxRate = `X.`) -vaccinationRate <- subset(vaccinationRate, select=c('States', 'VaxRate', 'Exemption')) -``` - -```{r populationDensity} -# data from 2020 -populationDensity <- read.csv(file = 'data/populationDensity.csv') -populationDensity <- subset(populationDensity, select=c('States', 'Density')) -populationDensity = populationDensity %>% rename(population_density = Density) -``` - -```{r medianIncome} -# data from 2017 -medianIncome <- read.csv(file = 'data/medianHouseholdIncome.csv') -medianIncome <- subset(medianIncome, select=c('States', 'Median_income')) -medianIncome$Median_income = as.numeric(gsub("\\,", "", medianIncome$Median_income)) -``` - -```{r educational_attainment} -# data from 2020 -educational_attainment <- read.csv(file = 'data/educational_attainment.csv') - - -``` - - -```{r merge_all_data and export} -# Vaccination data is from 2017, Exemption is from 2020, Healthcare spending is from 2014 - -data <- merge(vaccinationRate, healthcareSpending, by="States") -data <- merge(data, population, by="States") -data <- data %>% mutate(spending_per_capita = (`Total Health Spending`/Population)*1000000) -data <- merge(data, populationDensity, by="States") -data <- merge(data, medianIncome, by="States") -data <- merge(data, educational_attainment, by="States") -write.csv(data, "data\\full_data.csv") -``` - -```{} - - - - diff --git a/vaccination_viruses/Deliverable 1/code/deliverable_1.Rmd b/vaccination_viruses/Deliverable 1/code/deliverable_1.Rmd index c7eabc0..565ba42 100644 --- a/vaccination_viruses/Deliverable 1/code/deliverable_1.Rmd +++ b/vaccination_viruses/Deliverable 1/code/deliverable_1.Rmd @@ -11,16 +11,16 @@ library(tidyverse) ## Cleaning Data ```{r clean_data} -data <- read.csv(file = '../data/vaccinationrate_and_exemption.csv') -spending_data_headers <- read.csv(file = '../data/healthExpendituresState.csv', skip = 1, nrows = 1, as.is = TRUE) -spending_data = read.csv(file = '../data/healthExpendituresState.csv', skip = 3, nrows = 51, as.is = TRUE) +data <- read.csv(file = '../../data/vaccinationrate_and_exemption.csv') +spending_data_headers <- read.csv(file = '../../data/healthExpendituresState.csv', skip = 1, nrows = 1, as.is = TRUE) +spending_data = read.csv(file = '../../data/healthExpendituresState.csv', skip = 3, nrows = 51, as.is = TRUE) colnames(spending_data) = spending_data_headers 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zdI8^w)^zzpS>lA6TRJwJG!Tp1x3V8kX=N`~!y!ekzn{2lm^hz(ifNMMN(?>n zC_yVjn6O_On-rMe2m-oN`KKE|{5Vc~b{#8uwnsEoUsmKlEHq->gwOE zgqx_D)tE1odA+%X7I#Tm%GE`UDaQ1LFHN+?ZY_D|Eq7XOiGyR$rdYxxmWUjaH2OZC zrQtfV6MdDx*`=LGVfbN9M-PYAE#f=4N_U}0f$!^YN%>|{;CN=5$f}ff0GBN)AHH!Ly6w$2p8rVHzqz$Qi=;q0}kF`id#@_tp znYWf%#uDt}e**S7P&1%J*NFlzj% z3H__!Ut4j17VLnn_5W|o{i^5J{>&emPGIL%e(BcyD*S8Z`VV1z%-@9nR>%HT!>>is zKQ!#Yk~Y}i|5`HrRl%=m-X99=i2k*N|0I3CivAiC{~_uP3z2_+^uI;OziRobEB!+U u0Pvg=0Qj3@{Z;(0mhjKwNHl*E|J^QXsvyC37XUzqeL`WrdyMYqxBmlCJUKZ4 diff --git a/vaccination_viruses/Deliverable 1/data/data_for_introduction/vaccinationRates_vs_safety.csv b/vaccination_viruses/Deliverable 1/data/data_for_introduction/vaccinationRates_vs_safety.csv deleted file mode 100644 index bbf46c1..0000000 --- a/vaccination_viruses/Deliverable 1/data/data_for_introduction/vaccinationRates_vs_safety.csv +++ /dev/null @@ -1,2913 +0,0 @@ -Entity,Code,Year,Continent,"Share of people who disagree vaccines are safe (Wellcome Trust, 2019)",MCV2 (% of children immunized) -Abkhazia,OWID_ABK,2015,Asia,, -Afghanistan,AFG,2004,,,2 -Afghanistan,AFG,2005,,,9 -Afghanistan,AFG,2006,,,18 -Afghanistan,AFG,2007,,,4 -Afghanistan,AFG,2008,,,23 -Afghanistan,AFG,2009,,,24 -Afghanistan,AFG,2010,,,29 -Afghanistan,AFG,2011,,,31 -Afghanistan,AFG,2012,,,33 -Afghanistan,AFG,2013,,,35 -Afghanistan,AFG,2014,,,39 -Afghanistan,AFG,2015,Asia,,39 -Afghanistan,AFG,2016,,,39 -Afghanistan,AFG,2017,,,39 -Afghanistan,AFG,2018,,4.470985575,39 -Afghanistan,AFG,2019,,,39 -Africa,,2000,,,5 -Africa,,2001,,,5 -Africa,,2002,,,5 -Africa,,2003,,,5 -Africa,,2004,,,5 -Africa,,2005,,,4 -Africa,,2006,,,5 -Africa,,2007,,,4 -Africa,,2008,,,4 -Africa,,2009,,,5 -Africa,,2010,,,4 -Africa,,2011,,,4 -Africa,,2012,,,6 -Africa,,2013,,,7 -Africa,,2014,,,10 -Africa,,2015,,,18 -Africa,,2016,,,23 -Africa,,2017,,,24 -Africa,,2018,,,25 -Africa,,2019,,,33 -Akrotiri and Dhekelia,OWID_AKD,2015,Asia,, -Albania,ALB,2001,,,90 -Albania,ALB,2002,,,93 -Albania,ALB,2003,,,93 -Albania,ALB,2004,,,96 -Albania,ALB,2005,,,97 -Albania,ALB,2006,,,94 -Albania,ALB,2007,,,95 -Albania,ALB,2008,,,98 -Albania,ALB,2009,,,98 -Albania,ALB,2010,,,98 -Albania,ALB,2011,,,99 -Albania,ALB,2012,,,99 -Albania,ALB,2013,,,99 -Albania,ALB,2014,,,98 -Albania,ALB,2015,Europe,,98 -Albania,ALB,2016,,,98 -Albania,ALB,2017,,,98 -Albania,ALB,2018,,15.84816122,96 -Albania,ALB,2019,,,96 -Algeria,DZA,2000,,,78 -Algeria,DZA,2001,,,73 -Algeria,DZA,2002,,,93 -Algeria,DZA,2003,,,96 -Algeria,DZA,2004,,,94 -Algeria,DZA,2005,,,94 -Algeria,DZA,2006,,,98 -Algeria,DZA,2007,,,95 -Algeria,DZA,2008,,,96 -Algeria,DZA,2009,,,98 -Algeria,DZA,2010,,,95 -Algeria,DZA,2011,,,96 -Algeria,DZA,2012,,,95 -Algeria,DZA,2013,,,93 -Algeria,DZA,2014,,,99 -Algeria,DZA,2015,Africa,,99 -Algeria,DZA,2016,,,96 -Algeria,DZA,2017,,,92 -Algeria,DZA,2018,,11.27569803,77 -Algeria,DZA,2019,,,77 -American Samoa,ASM,2015,Oceania,, -Americas,,2000,,,65 -Americas,,2001,,,66 -Americas,,2002,,,63 -Americas,,2003,,,62 -Americas,,2004,,,63 -Americas,,2005,,,62 -Americas,,2006,,,61 -Americas,,2007,,,60 -Americas,,2008,,,62 -Americas,,2009,,,66 -Americas,,2010,,,67 -Americas,,2011,,,72 -Americas,,2012,,,73 -Americas,,2013,,,70 -Americas,,2014,,,79 -Americas,,2015,,,78 -Americas,,2016,,,80 -Americas,,2017,,,76 -Americas,,2018,,,84 -Americas,,2019,,,75 -Andorra,AND,2007,,,80 -Andorra,AND,2008,,,86 -Andorra,AND,2009,,,82 -Andorra,AND,2010,,,86 -Andorra,AND,2011,,,82 -Andorra,AND,2012,,,89 -Andorra,AND,2013,,,91 -Andorra,AND,2014,,,90 -Andorra,AND,2015,Europe,,88 -Andorra,AND,2016,,,90 -Andorra,AND,2017,,,94 -Andorra,AND,2018,,,95 -Andorra,AND,2019,,,95 -Angola,AGO,2015,Africa,,26 -Angola,AGO,2016,,,26 -Angola,AGO,2017,,,30 -Angola,AGO,2018,,,35 -Angola,AGO,2019,,,45 -Anguilla,AIA,2015,North America,, -Antarctica,ATA,2015,Antarctica,, -Antigua and Barbuda,ATG,2005,,,46 -Antigua and Barbuda,ATG,2006,,,68 -Antigua and Barbuda,ATG,2007,,,78 -Antigua and Barbuda,ATG,2008,,,83 -Antigua and Barbuda,ATG,2009,,,94 -Antigua and Barbuda,ATG,2010,,,92 -Antigua and Barbuda,ATG,2011,,,89 -Antigua and Barbuda,ATG,2012,,,90 -Antigua and Barbuda,ATG,2013,,,87 -Antigua and Barbuda,ATG,2014,,,99 -Antigua and Barbuda,ATG,2015,North America,,84 -Antigua and Barbuda,ATG,2016,,,68 -Antigua and Barbuda,ATG,2017,,,95 -Antigua and Barbuda,ATG,2018,,,95 -Antigua and Barbuda,ATG,2019,,,95 -Argentina,ARG,2000,,,56 -Argentina,ARG,2001,,,56 -Argentina,ARG,2002,,,83 -Argentina,ARG,2003,,,80 -Argentina,ARG,2004,,,93 -Argentina,ARG,2005,,,88 -Argentina,ARG,2006,,,91 -Argentina,ARG,2007,,,84 -Argentina,ARG,2008,,,88 -Argentina,ARG,2009,,,96 -Argentina,ARG,2010,,,94 -Argentina,ARG,2011,,,91 -Argentina,ARG,2012,,,89 -Argentina,ARG,2013,,,83 -Argentina,ARG,2014,,,96 -Argentina,ARG,2015,South America,,87 -Argentina,ARG,2016,,,88 -Argentina,ARG,2017,,,89 -Argentina,ARG,2018,,4.845372479,99 -Argentina,ARG,2019,,,89 -Armenia,ARM,2000,,,94 -Armenia,ARM,2001,,,96 -Armenia,ARM,2002,,,95 -Armenia,ARM,2003,,,93 -Armenia,ARM,2004,,,94 -Armenia,ARM,2005,,,92 -Armenia,ARM,2006,,,85 -Armenia,ARM,2007,,,93 -Armenia,ARM,2008,,,94 -Armenia,ARM,2009,,,96 -Armenia,ARM,2010,,,97 -Armenia,ARM,2011,,,98 -Armenia,ARM,2012,,,97 -Armenia,ARM,2013,,,97 -Armenia,ARM,2014,,,97 -Armenia,ARM,2015,Asia,,97 -Armenia,ARM,2016,,,97 -Armenia,ARM,2017,,,97 -Armenia,ARM,2018,,20.57026165,96 -Armenia,ARM,2019,,,96 -Aruba,ABW,2015,North America,, -Australia,AUS,2004,,,85 -Australia,AUS,2005,,,85 -Australia,AUS,2006,,,87 -Australia,AUS,2007,,,89 -Australia,AUS,2008,,,80 -Australia,AUS,2009,,,82 -Australia,AUS,2010,,,88 -Australia,AUS,2011,,,90 -Australia,AUS,2012,,,91 -Australia,AUS,2013,,,92 -Australia,AUS,2014,,,93 -Australia,AUS,2015,Oceania,,93 -Australia,AUS,2016,,,94 -Australia,AUS,2017,,,93 -Australia,AUS,2018,,6.906214946,93 -Australia,AUS,2019,,,94 -Australia/New Zealand,,2018,,7, -Austria,AUT,2000,,,35 -Austria,AUT,2001,,,34 -Austria,AUT,2002,,,39 -Austria,AUT,2003,,,46 -Austria,AUT,2004,,,47 -Austria,AUT,2005,,,54 -Austria,AUT,2006,,,61 -Austria,AUT,2007,,,56 -Austria,AUT,2008,,,62 -Austria,AUT,2009,,,64 -Austria,AUT,2010,,,69 -Austria,AUT,2011,,,73 -Austria,AUT,2012,,,78 -Austria,AUT,2013,,,82 -Austria,AUT,2014,,,87 -Austria,AUT,2015,Europe,,88 -Austria,AUT,2016,,,89 -Austria,AUT,2017,,,84 -Austria,AUT,2018,,21.05363097,84 -Austria,AUT,2019,,,84 -Austria-Hungary,OWID_AUH,2015,Europe,, -Azerbaijan,AZE,2001,,,65 -Azerbaijan,AZE,2002,,,67 -Azerbaijan,AZE,2003,,,66 -Azerbaijan,AZE,2004,,,67 -Azerbaijan,AZE,2005,,,67 -Azerbaijan,AZE,2006,,,68 -Azerbaijan,AZE,2007,,,75 -Azerbaijan,AZE,2008,,,79 -Azerbaijan,AZE,2009,,,83 -Azerbaijan,AZE,2010,,,89 -Azerbaijan,AZE,2011,,,92 -Azerbaijan,AZE,2012,,,95 -Azerbaijan,AZE,2013,,,98 -Azerbaijan,AZE,2014,,,98 -Azerbaijan,AZE,2015,Asia,,98 -Azerbaijan,AZE,2016,,,98 -Azerbaijan,AZE,2017,,,97 -Azerbaijan,AZE,2018,,11.22187567,96 -Azerbaijan,AZE,2019,,,97 -Baden,OWID_BAD,2015,Europe,, -Bahamas,BHS,2004,,,95 -Bahamas,BHS,2005,,,88 -Bahamas,BHS,2006,,,88 -Bahamas,BHS,2007,,,84 -Bahamas,BHS,2008,,,80 -Bahamas,BHS,2009,,,76 -Bahamas,BHS,2010,,,78 -Bahamas,BHS,2011,,,79 -Bahamas,BHS,2012,,,73 -Bahamas,BHS,2013,,,69 -Bahamas,BHS,2014,,,72 -Bahamas,BHS,2015,North America,,76 -Bahamas,BHS,2016,,,74 -Bahamas,BHS,2017,,,76 -Bahamas,BHS,2018,,,69 -Bahamas,BHS,2019,,,82 -Bahrain,BHR,2000,,,92 -Bahrain,BHR,2001,,,99 -Bahrain,BHR,2002,,,97 -Bahrain,BHR,2003,,,99 -Bahrain,BHR,2004,,,99 -Bahrain,BHR,2005,,,99 -Bahrain,BHR,2006,,,99 -Bahrain,BHR,2007,,,99 -Bahrain,BHR,2008,,,97 -Bahrain,BHR,2009,,,99 -Bahrain,BHR,2010,,,98 -Bahrain,BHR,2011,,,98 -Bahrain,BHR,2012,,,99 -Bahrain,BHR,2013,,,99 -Bahrain,BHR,2014,,,99 -Bahrain,BHR,2015,Asia,,99 -Bahrain,BHR,2016,,,99 -Bahrain,BHR,2017,,,99 -Bahrain,BHR,2018,,,99 -Bahrain,BHR,2019,,,99 -Bangladesh,BGD,2012,,,41 -Bangladesh,BGD,2013,,,82 -Bangladesh,BGD,2014,,,89 -Bangladesh,BGD,2015,Asia,,90 -Bangladesh,BGD,2016,,,92 -Bangladesh,BGD,2017,,,93 -Bangladesh,BGD,2018,,0.908196083,93 -Bangladesh,BGD,2019,,,95 -Barbados,BRB,2001,,,12 -Barbados,BRB,2002,,,41 -Barbados,BRB,2003,,,71 -Barbados,BRB,2004,,,99 -Barbados,BRB,2005,,,98 -Barbados,BRB,2006,,,94 -Barbados,BRB,2007,,,96 -Barbados,BRB,2008,,,97 -Barbados,BRB,2009,,,97 -Barbados,BRB,2010,,,96 -Barbados,BRB,2011,,,94 -Barbados,BRB,2012,,,90 -Barbados,BRB,2013,,,89 -Barbados,BRB,2014,,,91 -Barbados,BRB,2015,North America,,89 -Barbados,BRB,2016,,,87 -Barbados,BRB,2017,,,77 -Barbados,BRB,2018,,,74 -Barbados,BRB,2019,,,77 -Bavaria,OWID_BAV,2015,Europe,, -Belarus,BLR,2000,,,92 -Belarus,BLR,2001,,,97 -Belarus,BLR,2002,,,98 -Belarus,BLR,2003,,,98 -Belarus,BLR,2004,,,98 -Belarus,BLR,2005,,,98 -Belarus,BLR,2006,,,95 -Belarus,BLR,2007,,,99 -Belarus,BLR,2008,,,99 -Belarus,BLR,2009,,,99 -Belarus,BLR,2010,,,99 -Belarus,BLR,2011,,,99 -Belarus,BLR,2012,,,97 -Belarus,BLR,2013,,,99 -Belarus,BLR,2014,,,98 -Belarus,BLR,2015,Europe,,99 -Belarus,BLR,2016,,,98 -Belarus,BLR,2017,,,98 -Belarus,BLR,2018,,14.77494701,98 -Belarus,BLR,2019,,,98 -Belgium,BEL,2006,,,78 -Belgium,BEL,2007,,,78 -Belgium,BEL,2008,,,81 -Belgium,BEL,2009,,,83 -Belgium,BEL,2010,,,83 -Belgium,BEL,2011,,,83 -Belgium,BEL,2012,,,85 -Belgium,BEL,2013,,,85 -Belgium,BEL,2014,,,85 -Belgium,BEL,2015,Europe,,85 -Belgium,BEL,2016,,,85 -Belgium,BEL,2017,,,85 -Belgium,BEL,2018,,20.63709549,85 -Belgium,BEL,2019,,,85 -Belize,BLZ,2005,,,87 -Belize,BLZ,2006,,,92 -Belize,BLZ,2007,,,89 -Belize,BLZ,2008,,,90 -Belize,BLZ,2009,,,92 -Belize,BLZ,2010,,,91 -Belize,BLZ,2011,,,98 -Belize,BLZ,2012,,,93 -Belize,BLZ,2013,,,92 -Belize,BLZ,2014,,,92 -Belize,BLZ,2015,North America,,95 -Belize,BLZ,2016,,,96 -Belize,BLZ,2017,,,88 -Belize,BLZ,2018,,,91 -Belize,BLZ,2019,,,95 -Benin,BEN,2015,Africa,, -Benin,BEN,2018,,14.01966423, -Bermuda,BMU,2015,North America,, -Bhutan,BTN,2008,,,72 -Bhutan,BTN,2009,,,79 -Bhutan,BTN,2010,,,85 -Bhutan,BTN,2011,,,95 -Bhutan,BTN,2012,,,90 -Bhutan,BTN,2013,,,89 -Bhutan,BTN,2014,,,92 -Bhutan,BTN,2015,Asia,,94 -Bhutan,BTN,2016,,,90 -Bhutan,BTN,2017,,,99 -Bhutan,BTN,2018,,,91 -Bhutan,BTN,2019,,,92 -Bolivia,BOL,2015,South America,, -Bolivia,BOL,2018,,13.10435207, -Bolivia (Plurinational State of),,2018,,,38 -Bolivia (Plurinational State of),,2019,,,44 -Bonaire Sint Eustatius and Saba,BES,2015,North America,, -Bosnia and Herzegovina,BIH,2000,,,74 -Bosnia and Herzegovina,BIH,2001,,,86 -Bosnia and Herzegovina,BIH,2002,,,90 -Bosnia and Herzegovina,BIH,2003,,,85 -Bosnia and Herzegovina,BIH,2004,,,88 -Bosnia and Herzegovina,BIH,2005,,,90 -Bosnia and Herzegovina,BIH,2006,,,93 -Bosnia and Herzegovina,BIH,2007,,,95 -Bosnia and Herzegovina,BIH,2008,,,92 -Bosnia and Herzegovina,BIH,2009,,,88 -Bosnia and Herzegovina,BIH,2010,,,91 -Bosnia and Herzegovina,BIH,2011,,,88 -Bosnia and Herzegovina,BIH,2012,,,94 -Bosnia and Herzegovina,BIH,2013,,,93 -Bosnia and Herzegovina,BIH,2014,,,92 -Bosnia and Herzegovina,BIH,2015,Europe,,88 -Bosnia and Herzegovina,BIH,2016,,,78 -Bosnia and Herzegovina,BIH,2017,,,80 -Bosnia and Herzegovina,BIH,2018,,8.300703246,76 -Bosnia and Herzegovina,BIH,2019,,,76 -Botswana,BWA,2013,,,83 -Botswana,BWA,2014,,,85 -Botswana,BWA,2015,Africa,,80 -Botswana,BWA,2016,,,74 -Botswana,BWA,2017,,,74 -Botswana,BWA,2018,,9.001017043,74 -Botswana,BWA,2019,,,76 -Bouvet Island,BVT,2015,Antarctica,, -Brazil,BRA,2000,,,95 -Brazil,BRA,2001,,,95 -Brazil,BRA,2002,,,80 -Brazil,BRA,2003,,,74 -Brazil,BRA,2004,,,68 -Brazil,BRA,2005,,,61 -Brazil,BRA,2006,,,55 -Brazil,BRA,2007,,,49 -Brazil,BRA,2008,,,56 -Brazil,BRA,2009,,,55 -Brazil,BRA,2010,,,53 -Brazil,BRA,2011,,,71 -Brazil,BRA,2012,,,70 -Brazil,BRA,2013,,,69 -Brazil,BRA,2014,,,89 -Brazil,BRA,2015,South America,,80 -Brazil,BRA,2016,,,77 -Brazil,BRA,2017,,,76 -Brazil,BRA,2018,,9.042356185,76 -Brazil,BRA,2019,,,54 -British Indian Ocean Territory,IOT,2015,Asia,, -British Virgin Islands,VGB,2015,North America,, -Brunei,BRN,2000,,,95 -Brunei,BRN,2001,,,95 -Brunei,BRN,2002,,,96 -Brunei,BRN,2003,,,96 -Brunei,BRN,2004,,,97 -Brunei,BRN,2005,,,95 -Brunei,BRN,2006,,,94 -Brunei,BRN,2007,,,92 -Brunei,BRN,2008,,,90 -Brunei,BRN,2009,,,99 -Brunei,BRN,2010,,,93 -Brunei,BRN,2011,,,93 -Brunei,BRN,2012,,,96 -Brunei,BRN,2013,,,92 -Brunei,BRN,2014,,,96 -Brunei,BRN,2015,Asia,,97 -Brunei,BRN,2016,,,97 -Brunei,BRN,2017,,,98 -Brunei,BRN,2018,,,98 -Brunei,BRN,2019,,,98 -Bulgaria,BGR,2000,,,83 -Bulgaria,BGR,2001,,,85 -Bulgaria,BGR,2002,,,79 -Bulgaria,BGR,2003,,,89 -Bulgaria,BGR,2004,,,91 -Bulgaria,BGR,2005,,,92 -Bulgaria,BGR,2006,,,93 -Bulgaria,BGR,2007,,,94 -Bulgaria,BGR,2008,,,94 -Bulgaria,BGR,2009,,,93 -Bulgaria,BGR,2010,,,96 -Bulgaria,BGR,2011,,,94 -Bulgaria,BGR,2012,,,94 -Bulgaria,BGR,2013,,,94 -Bulgaria,BGR,2014,,,89 -Bulgaria,BGR,2015,Europe,,87 -Bulgaria,BGR,2016,,,88 -Bulgaria,BGR,2017,,,92 -Bulgaria,BGR,2018,,15.61304414,87 -Bulgaria,BGR,2019,,,87 -Burkina Faso,BFA,2014,,,17 -Burkina Faso,BFA,2015,Africa,,50 -Burkina Faso,BFA,2016,,,59 -Burkina Faso,BFA,2017,,,65 -Burkina Faso,BFA,2018,,20.75256443,71 -Burkina Faso,BFA,2019,,,71 -Burundi,BDI,2013,,,51 -Burundi,BDI,2014,,,60 -Burundi,BDI,2015,Africa,,65 -Burundi,BDI,2016,,,72 -Burundi,BDI,2017,,,75 -Burundi,BDI,2018,,6.529531228,77 -Burundi,BDI,2019,,,80 -Cambodia,KHM,2012,,,41 -Cambodia,KHM,2013,,,52 -Cambodia,KHM,2014,,,62 -Cambodia,KHM,2015,Asia,,61 -Cambodia,KHM,2016,,,67 -Cambodia,KHM,2017,,,72 -Cambodia,KHM,2018,,7.541631375,70 -Cambodia,KHM,2019,,,82 -Cameroon,CMR,2015,Africa,, -Cameroon,CMR,2018,,13.10581138, -Canada,CAN,2012,,,83 -Canada,CAN,2013,,,86 -Canada,CAN,2014,,,86 -Canada,CAN,2015,North America,,86 -Canada,CAN,2016,,,86 -Canada,CAN,2017,,,87 -Canada,CAN,2018,,8.322632874,87 -Canada,CAN,2019,,,87 -Cape Verde,CPV,2011,,,99 -Cape Verde,CPV,2012,,,94 -Cape Verde,CPV,2013,,,89 -Cape Verde,CPV,2014,,,79 -Cape Verde,CPV,2015,Africa,,95 -Cape Verde,CPV,2016,,,92 -Cape Verde,CPV,2017,,,85 -Cape Verde,CPV,2018,,,88 -Cape Verde,CPV,2019,,,91 -Cayman Islands,CYM,2015,North America,, -Central Africa,,2018,,14, -Central African Republic,CAF,2015,Africa,, -Central America and Mexico,,2018,,7, -Central Asia,,2018,,7, -Chad,TCD,2015,Africa,, -Chad,TCD,2018,,10.0500689, -Channel Islands,OWID_CIS,2015,Europe,, -Chile,CHL,2004,,,96 -Chile,CHL,2005,,,96 -Chile,CHL,2006,,,95 -Chile,CHL,2007,,,95 -Chile,CHL,2008,,,89 -Chile,CHL,2009,,,89 -Chile,CHL,2010,,,84 -Chile,CHL,2011,,,77 -Chile,CHL,2012,,,74 -Chile,CHL,2013,,,78 -Chile,CHL,2014,,,88 -Chile,CHL,2015,South America,,89 -Chile,CHL,2016,,,87 -Chile,CHL,2017,,,90 -Chile,CHL,2018,,11.37743281,93 -Chile,CHL,2019,,,91 -China,CHN,2005,,,84 -China,CHN,2006,,,94 -China,CHN,2007,,,92 -China,CHN,2008,,,95 -China,CHN,2009,,,98 -China,CHN,2010,,,99 -China,CHN,2011,,,99 -China,CHN,2012,,,99 -China,CHN,2013,,,99 -China,CHN,2014,,,99 -China,CHN,2015,Asia,,99 -China,CHN,2016,,,99 -China,CHN,2017,,,99 -China,CHN,2018,,8.290823545,99 -China,CHN,2019,,,98 -Christmas Island,CXR,2015,Asia,, -Cocos Islands,CCK,2015,Asia,, -Colombia,COL,2000,,,84 -Colombia,COL,2001,,,83 -Colombia,COL,2002,,,93 -Colombia,COL,2003,,,70 -Colombia,COL,2004,,,70 -Colombia,COL,2005,,,73 -Colombia,COL,2006,,,85 -Colombia,COL,2007,,,93 -Colombia,COL,2008,,,70 -Colombia,COL,2009,,,71 -Colombia,COL,2010,,,74 -Colombia,COL,2011,,,76 -Colombia,COL,2012,,,80 -Colombia,COL,2013,,,72 -Colombia,COL,2014,,,88 -Colombia,COL,2015,South America,,86 -Colombia,COL,2016,,,87 -Colombia,COL,2017,,,89 -Colombia,COL,2018,,10.70378513,88 -Colombia,COL,2019,,,88 -Comoros,COM,2015,Africa,, -Comoros,COM,2018,,7.505970773, -Congo,COG,2015,Africa,, -Congo,COG,2018,,17.50763411, -Congo,COG,2019,,,9 -Cook Islands,COK,2000,,,70 -Cook Islands,COK,2001,,,50 -Cook Islands,COK,2002,,,61 -Cook Islands,COK,2003,,,88 -Cook Islands,COK,2004,,,86 -Cook Islands,COK,2005,,,97 -Cook Islands,COK,2006,,,99 -Cook Islands,COK,2007,,,98 -Cook Islands,COK,2008,,,95 -Cook Islands,COK,2009,,,61 -Cook Islands,COK,2010,,,98 -Cook Islands,COK,2011,,,96 -Cook Islands,COK,2012,,,98 -Cook Islands,COK,2013,,,95 -Cook Islands,COK,2014,,,98 -Cook Islands,COK,2015,Oceania,,95 -Cook Islands,COK,2016,,,90 -Cook Islands,COK,2017,,,95 -Cook Islands,COK,2018,,,99 -Cook Islands,COK,2019,,,98 -Costa Rica,CRI,2008,,,89 -Costa Rica,CRI,2009,,,84 -Costa Rica,CRI,2010,,,79 -Costa Rica,CRI,2011,,,80 -Costa Rica,CRI,2012,,,95 -Costa Rica,CRI,2013,,,92 -Costa Rica,CRI,2014,,,90 -Costa Rica,CRI,2015,North America,,90 -Costa Rica,CRI,2016,,,87 -Costa Rica,CRI,2017,,,93 -Costa Rica,CRI,2018,,5.810229365,93 -Costa Rica,CRI,2019,,,93 -Cote d'Ivoire,CIV,2015,Africa,, -Cote d'Ivoire,CIV,2018,,16.35067072, -Croatia,HRV,2001,,,98 -Croatia,HRV,2002,,,98 -Croatia,HRV,2003,,,98 -Croatia,HRV,2004,,,98 -Croatia,HRV,2005,,,98 -Croatia,HRV,2006,,,98 -Croatia,HRV,2007,,,98 -Croatia,HRV,2008,,,98 -Croatia,HRV,2009,,,98 -Croatia,HRV,2010,,,98 -Croatia,HRV,2011,,,98 -Croatia,HRV,2012,,,97 -Croatia,HRV,2013,,,97 -Croatia,HRV,2014,,,97 -Croatia,HRV,2015,Europe,,96 -Croatia,HRV,2016,,,96 -Croatia,HRV,2017,,,95 -Croatia,HRV,2018,,6.794648185,95 -Croatia,HRV,2019,,,95 -Cuba,CUB,2005,,,53 -Cuba,CUB,2006,,,97 -Cuba,CUB,2007,,,99 -Cuba,CUB,2008,,,98 -Cuba,CUB,2009,,,95 -Cuba,CUB,2010,,,98 -Cuba,CUB,2011,,,95 -Cuba,CUB,2012,,,96 -Cuba,CUB,2013,,,97 -Cuba,CUB,2014,,,98 -Cuba,CUB,2015,North America,,99 -Cuba,CUB,2016,,,99 -Cuba,CUB,2017,,,99 -Cuba,CUB,2018,,,99 -Cuba,CUB,2019,,,99 -Curacao,CUW,2015,North America,, -Cyprus,CYP,2007,,,93 -Cyprus,CYP,2008,,,89 -Cyprus,CYP,2009,,,88 -Cyprus,CYP,2010,,,88 -Cyprus,CYP,2011,,,88 -Cyprus,CYP,2012,,,88 -Cyprus,CYP,2013,,,88 -Cyprus,CYP,2014,,,88 -Cyprus,CYP,2015,Europe,,88 -Cyprus,CYP,2016,,,88 -Cyprus,CYP,2017,,,88 -Cyprus,CYP,2018,,9.859631777,88 -Cyprus,CYP,2019,,,88 -Czech Republic,CZE,2000,,,98 -Czech Republic,CZE,2001,,,98 -Czech Republic,CZE,2002,,,98 -Czech Republic,CZE,2003,,,98 -Czech Republic,CZE,2004,,,98 -Czech Republic,CZE,2005,,,98 -Czech Republic,CZE,2006,,,98 -Czech Republic,CZE,2007,,,98 -Czech Republic,CZE,2008,,,98 -Czech Republic,CZE,2009,,,98 -Czech Republic,CZE,2010,,,98 -Czech Republic,CZE,2011,,,98 -Czech Republic,CZE,2012,,,99 -Czech Republic,CZE,2013,,,99 -Czech Republic,CZE,2014,,,96 -Czech Republic,CZE,2015,Europe,,99 -Czech Republic,CZE,2016,,,93 -Czech Republic,CZE,2017,,,90 -Czech Republic,CZE,2018,,6.603516208,84 -Czech Republic,CZE,2019,,,84 -Czechoslovakia,OWID_CZS,2015,Europe,, -Democratic Republic of Congo,COD,2015,Africa,, -Denmark,DNK,2001,,,87 -Denmark,DNK,2002,,,92 -Denmark,DNK,2003,,,88 -Denmark,DNK,2004,,,88 -Denmark,DNK,2005,,,91 -Denmark,DNK,2006,,,91 -Denmark,DNK,2007,,,88 -Denmark,DNK,2008,,,87 -Denmark,DNK,2009,,,85 -Denmark,DNK,2010,,,85 -Denmark,DNK,2011,,,86 -Denmark,DNK,2012,,,87 -Denmark,DNK,2013,,,86 -Denmark,DNK,2014,,,84 -Denmark,DNK,2015,Europe,,80 -Denmark,DNK,2016,,,85 -Denmark,DNK,2017,,,88 -Denmark,DNK,2018,,8.979714929,90 -Denmark,DNK,2019,,,90 -Djibouti,DJI,2012,,,82 -Djibouti,DJI,2013,,,82 -Djibouti,DJI,2014,,,82 -Djibouti,DJI,2015,Africa,,82 -Djibouti,DJI,2016,,,81 -Djibouti,DJI,2017,,,81 -Djibouti,DJI,2018,,,81 -Djibouti,DJI,2019,,,81 -Dominica,DMA,2001,,,62 -Dominica,DMA,2002,,,99 -Dominica,DMA,2003,,,99 -Dominica,DMA,2004,,,99 -Dominica,DMA,2005,,,99 -Dominica,DMA,2006,,,99 -Dominica,DMA,2007,,,95 -Dominica,DMA,2008,,,95 -Dominica,DMA,2009,,,95 -Dominica,DMA,2010,,,95 -Dominica,DMA,2011,,,94 -Dominica,DMA,2012,,,94 -Dominica,DMA,2013,,,91 -Dominica,DMA,2014,,,89 -Dominica,DMA,2015,North America,,94 -Dominica,DMA,2016,,,92 -Dominica,DMA,2017,,,81 -Dominica,DMA,2018,,,81 -Dominica,DMA,2019,,,92 -Dominican Republic,DOM,2015,North America,, -Dominican Republic,DOM,2018,,4.905058752,31 -Dominican Republic,DOM,2019,,,60 -East Asia,,2018,,8, -East Germany,OWID_GDR,2015,Europe,, -Eastern Africa,,2018,,5, -Eastern Europe,,2018,,17, -Eastern Mediterranean,,2000,,,28 -Eastern Mediterranean,,2001,,,35 -Eastern Mediterranean,,2002,,,35 -Eastern Mediterranean,,2003,,,34 -Eastern Mediterranean,,2004,,,38 -Eastern Mediterranean,,2005,,,40 -Eastern Mediterranean,,2006,,,41 -Eastern Mediterranean,,2007,,,41 -Eastern Mediterranean,,2008,,,40 -Eastern Mediterranean,,2009,,,50 -Eastern Mediterranean,,2010,,,52 -Eastern Mediterranean,,2011,,,54 -Eastern Mediterranean,,2012,,,56 -Eastern Mediterranean,,2013,,,59 -Eastern Mediterranean,,2014,,,64 -Eastern Mediterranean,,2015,,,68 -Eastern Mediterranean,,2016,,,74 -Eastern Mediterranean,,2017,,,75 -Eastern Mediterranean,,2018,,,74 -Eastern Mediterranean,,2019,,,75 -Ecuador,ECU,2009,,,99 -Ecuador,ECU,2010,,,91 -Ecuador,ECU,2011,,,92 -Ecuador,ECU,2012,,,81 -Ecuador,ECU,2013,,,70 -Ecuador,ECU,2014,,,59 -Ecuador,ECU,2015,South America,,76 -Ecuador,ECU,2016,,,64 -Ecuador,ECU,2017,,,73 -Ecuador,ECU,2018,,5.392728845,74 -Ecuador,ECU,2019,,,76 -Egypt,EGY,2000,,,97 -Egypt,EGY,2001,,,99 -Egypt,EGY,2002,,,96 -Egypt,EGY,2003,,,97 -Egypt,EGY,2004,,,96 -Egypt,EGY,2005,,,97 -Egypt,EGY,2006,,,97 -Egypt,EGY,2007,,,97 -Egypt,EGY,2008,,,96 -Egypt,EGY,2009,,,96 -Egypt,EGY,2010,,,97 -Egypt,EGY,2011,,,97 -Egypt,EGY,2012,,,92 -Egypt,EGY,2013,,,96 -Egypt,EGY,2014,,,93 -Egypt,EGY,2015,Africa,,92 -Egypt,EGY,2016,,,96 -Egypt,EGY,2017,,,94 -Egypt,EGY,2018,,0.588238907,94 -Egypt,EGY,2019,,,94 -El Salvador,SLV,2003,,,77 -El Salvador,SLV,2004,,,80 -El Salvador,SLV,2005,,,85 -El Salvador,SLV,2006,,,89 -El Salvador,SLV,2007,,,86 -El Salvador,SLV,2008,,,79 -El Salvador,SLV,2009,,,82 -El Salvador,SLV,2010,,,78 -El Salvador,SLV,2011,,,81 -El Salvador,SLV,2012,,,95 -El Salvador,SLV,2013,,,85 -El Salvador,SLV,2014,,,85 -El Salvador,SLV,2015,North America,,88 -El Salvador,SLV,2016,,,87 -El Salvador,SLV,2017,,,86 -El Salvador,SLV,2018,,11.38611622,85 -El Salvador,SLV,2019,,,87 -Equatorial Guinea,GNQ,2015,Africa,, -Eritrea,ERI,2015,Africa,,88 -Eritrea,ERI,2016,,,88 -Eritrea,ERI,2017,,,88 -Eritrea,ERI,2018,,,88 -Eritrea,ERI,2019,,,88 -Eritrea and Ethiopia,OWID_ERE,2015,Africa,, -Estonia,EST,2000,,,89 -Estonia,EST,2001,,,84 -Estonia,EST,2002,,,94 -Estonia,EST,2003,,,96 -Estonia,EST,2004,,,97 -Estonia,EST,2005,,,98 -Estonia,EST,2006,,,98 -Estonia,EST,2007,,,96 -Estonia,EST,2008,,,97 -Estonia,EST,2009,,,96 -Estonia,EST,2010,,,95 -Estonia,EST,2011,,,95 -Estonia,EST,2012,,,94 -Estonia,EST,2013,,,92 -Estonia,EST,2014,,,93 -Estonia,EST,2015,Europe,,92 -Estonia,EST,2016,,,92 -Estonia,EST,2017,,,91 -Estonia,EST,2018,,13.48992364,88 -Estonia,EST,2019,,,90 -Ethiopia,ETH,2015,Africa,, -Ethiopia,ETH,2018,,2.54309192, -Ethiopia,ETH,2019,,,41 -Europe,,2000,,,48 -Europe,,2001,,,62 -Europe,,2002,,,70 -Europe,,2003,,,73 -Europe,,2004,,,77 -Europe,,2005,,,76 -Europe,,2006,,,75 -Europe,,2007,,,76 -Europe,,2008,,,75 -Europe,,2009,,,73 -Europe,,2010,,,80 -Europe,,2011,,,82 -Europe,,2012,,,83 -Europe,,2013,,,89 -Europe,,2014,,,89 -Europe,,2015,,,89 -Europe,,2016,,,88 -Europe,,2017,,,90 -Europe,,2018,,,91 -Europe,,2019,,,91 -Faeroe Islands,FRO,2015,Europe,, -Falkland Islands,FLK,2015,South America,, -Fiji,FJI,2005,,,74 -Fiji,FJI,2006,,,94 -Fiji,FJI,2007,,,94 -Fiji,FJI,2008,,,94 -Fiji,FJI,2009,,,94 -Fiji,FJI,2010,,,94 -Fiji,FJI,2011,,,94 -Fiji,FJI,2012,,,94 -Fiji,FJI,2013,,,94 -Fiji,FJI,2014,,,94 -Fiji,FJI,2015,Oceania,,94 -Fiji,FJI,2016,,,94 -Fiji,FJI,2017,,,94 -Fiji,FJI,2018,,,94 -Fiji,FJI,2019,,,94 -Finland,FIN,2015,Europe,, -Finland,FIN,2016,,,85 -Finland,FIN,2017,,,92 -Finland,FIN,2018,,7.991680632,93 -Finland,FIN,2019,,,93 -France,FRA,2010,,,61 -France,FRA,2011,,,67 -France,FRA,2012,,,72 -France,FRA,2013,,,75 -France,FRA,2014,,,77 -France,FRA,2015,Europe,,79 -France,FRA,2016,,,80 -France,FRA,2017,,,80 -France,FRA,2018,,33.29384552,83 -France,FRA,2019,,,83 -French Guiana,GUF,2015,South America,, -French Polynesia,PYF,2015,Oceania,, -French Southern Territories,ATF,2015,Antarctica,, -Gabon,GAB,2015,Africa,, -Gabon,GAB,2018,,25.85800036, -Gambia,GMB,2012,,,56 -Gambia,GMB,2013,,,53 -Gambia,GMB,2014,,,73 -Gambia,GMB,2015,Africa,,81 -Gambia,GMB,2016,,,79 -Gambia,GMB,2017,,,68 -Gambia,GMB,2018,,4.782896295,71 -Gambia,GMB,2019,,,61 -Gavi countries,,2000,,,2 -Gavi countries,,2001,,,2 -Gavi countries,,2002,,,3 -Gavi countries,,2003,,,4 -Gavi countries,,2004,,,4 -Gavi countries,,2005,,,4 -Gavi countries,,2006,,,6 -Gavi countries,,2007,,,7 -Gavi countries,,2008,,,10 -Gavi countries,,2009,,,12 -Gavi countries,,2010,,,13 -Gavi countries,,2011,,,23 -Gavi countries,,2012,,,27 -Gavi countries,,2013,,,36 -Gavi countries,,2014,,,38 -Gavi countries,,2015,,,44 -Gavi countries,,2016,,,50 -Gavi countries,,2017,,,53 -Gavi countries,,2018,,,55 -Gavi countries,,2019,,,60 -Georgia,GEO,2001,,,8 -Georgia,GEO,2002,,,40 -Georgia,GEO,2003,,,57 -Georgia,GEO,2004,,,75 -Georgia,GEO,2005,,,87 -Georgia,GEO,2006,,,88 -Georgia,GEO,2007,,,92 -Georgia,GEO,2008,,,87 -Georgia,GEO,2009,,,71 -Georgia,GEO,2010,,,84 -Georgia,GEO,2011,,,77 -Georgia,GEO,2012,,,79 -Georgia,GEO,2013,,,89 -Georgia,GEO,2014,,,87 -Georgia,GEO,2015,Asia,,91 -Georgia,GEO,2016,,,85 -Georgia,GEO,2017,,,90 -Georgia,GEO,2018,,9.573974821,96 -Georgia,GEO,2019,,,97 -Germany,DEU,2002,,,77 -Germany,DEU,2003,,,83 -Germany,DEU,2004,,,89 -Germany,DEU,2005,,,91 -Germany,DEU,2006,,,90 -Germany,DEU,2007,,,92 -Germany,DEU,2008,,,92 -Germany,DEU,2009,,,93 -Germany,DEU,2010,,,93 -Germany,DEU,2011,,,93 -Germany,DEU,2012,,,93 -Germany,DEU,2013,,,93 -Germany,DEU,2014,,,93 -Germany,DEU,2015,Europe,,93 -Germany,DEU,2016,,,93 -Germany,DEU,2017,,,93 -Germany,DEU,2018,,12.87886921,93 -Germany,DEU,2019,,,93 -Ghana,GHA,2012,,,52 -Ghana,GHA,2013,,,54 -Ghana,GHA,2014,,,67 -Ghana,GHA,2015,Africa,,63 -Ghana,GHA,2016,,,75 -Ghana,GHA,2017,,,83 -Ghana,GHA,2018,,3.492985667,83 -Ghana,GHA,2019,,,83 -Gibraltar,GIB,2015,Europe,, -Greece,GRC,2007,,,77 -Greece,GRC,2008,,,77 -Greece,GRC,2009,,,77 -Greece,GRC,2010,,,77 -Greece,GRC,2011,,,77 -Greece,GRC,2012,,,83 -Greece,GRC,2013,,,83 -Greece,GRC,2014,,,83 -Greece,GRC,2015,Europe,,83 -Greece,GRC,2016,,,83 -Greece,GRC,2017,,,83 -Greece,GRC,2018,,3.587050176,83 -Greece,GRC,2019,,,83 -Greenland,GRL,2015,North America,, -Grenada,GRD,2002,,,74 -Grenada,GRD,2003,,,68 -Grenada,GRD,2004,,,61 -Grenada,GRD,2005,,,81 -Grenada,GRD,2006,,,87 -Grenada,GRD,2007,,,86 -Grenada,GRD,2008,,,86 -Grenada,GRD,2009,,,78 -Grenada,GRD,2010,,,86 -Grenada,GRD,2011,,,85 -Grenada,GRD,2012,,,75 -Grenada,GRD,2013,,,85 -Grenada,GRD,2014,,,92 -Grenada,GRD,2015,North America,,89 -Grenada,GRD,2016,,,85 -Grenada,GRD,2017,,,79 -Grenada,GRD,2018,,,74 -Grenada,GRD,2019,,,82 -Guadeloupe,GLP,2015,North America,, -Guam,GUM,2015,Oceania,, -Guatemala,GTM,2015,North America,, -Guatemala,GTM,2016,,,65 -Guatemala,GTM,2017,,,81 -Guatemala,GTM,2018,,7.285190797,76 -Guatemala,GTM,2019,,,78 -Guernsey,GGY,2015,Europe,, -Guinea,GIN,2015,Africa,, -Guinea,GIN,2018,,14.05135618, -Guinea-Bissau,GNB,2015,Africa,, -Guyana,GUY,2001,,,88 -Guyana,GUY,2002,,,80 -Guyana,GUY,2003,,,71 -Guyana,GUY,2004,,,63 -Guyana,GUY,2005,,,72 -Guyana,GUY,2006,,,74 -Guyana,GUY,2007,,,90 -Guyana,GUY,2008,,,84 -Guyana,GUY,2009,,,84 -Guyana,GUY,2010,,,82 -Guyana,GUY,2011,,,84 -Guyana,GUY,2012,,,90 -Guyana,GUY,2013,,,95 -Guyana,GUY,2014,,,91 -Guyana,GUY,2015,South America,,95 -Guyana,GUY,2016,,,94 -Guyana,GUY,2017,,,93 -Guyana,GUY,2018,,,84 -Guyana,GUY,2019,,,92 -Haiti,HTI,2015,North America,, -Haiti,HTI,2016,,,26 -Haiti,HTI,2017,,,25 -Haiti,HTI,2018,,20.39307286,38 -Haiti,HTI,2019,,,41 -Hanover,OWID_HAN,2015,Europe,, -Heard Island and McDonald Islands,HMD,2015,Antarctica,, -Hesse Electoral,OWID_HSE,2015,Europe,, -Hesse Grand Ducal,OWID_HSG,2015,Europe,, -High income,,2000,,,43 -High income,,2001,,,51 -High income,,2002,,,59 -High income,,2003,,,59 -High income,,2004,,,66 -High income,,2005,,,66 -High income,,2006,,,67 -High income,,2007,,,68 -High income,,2008,,,75 -High income,,2009,,,76 -High income,,2010,,,81 -High income,,2011,,,81 -High income,,2012,,,85 -High income,,2013,,,89 -High income,,2014,,,90 -High income,,2015,,,90 -High income,,2016,,,91 -High income,,2017,,,91 -High income,,2018,,,92 -High income,,2019,,,92 -Honduras,HND,2015,North America,, -Honduras,HND,2018,,5.889666745,94 -Honduras,HND,2019,,,85 -Hong Kong,HKG,2015,Asia,, -Hungary,HUN,2000,,,99 -Hungary,HUN,2001,,,99 -Hungary,HUN,2002,,,99 -Hungary,HUN,2003,,,99 -Hungary,HUN,2004,,,99 -Hungary,HUN,2005,,,99 -Hungary,HUN,2006,,,99 -Hungary,HUN,2007,,,99 -Hungary,HUN,2008,,,99 -Hungary,HUN,2009,,,99 -Hungary,HUN,2010,,,99 -Hungary,HUN,2011,,,99 -Hungary,HUN,2012,,,99 -Hungary,HUN,2013,,,99 -Hungary,HUN,2014,,,99 -Hungary,HUN,2015,Europe,,99 -Hungary,HUN,2016,,,99 -Hungary,HUN,2017,,,99 -Hungary,HUN,2018,,2.632851949,99 -Hungary,HUN,2019,,,99 -Iceland,ISL,2003,,,92 -Iceland,ISL,2004,,,89 -Iceland,ISL,2005,,,90 -Iceland,ISL,2006,,,93 -Iceland,ISL,2007,,,95 -Iceland,ISL,2008,,,94 -Iceland,ISL,2009,,,93 -Iceland,ISL,2010,,,92 -Iceland,ISL,2011,,,90 -Iceland,ISL,2012,,,97 -Iceland,ISL,2013,,,94 -Iceland,ISL,2014,,,93 -Iceland,ISL,2015,Europe,,94 -Iceland,ISL,2016,,,95 -Iceland,ISL,2017,,,95 -Iceland,ISL,2018,,21.26700693,95 -Iceland,ISL,2019,,,95 -India,IND,2011,,,27 -India,IND,2012,,,36 -India,IND,2013,,,51 -India,IND,2014,,,60 -India,IND,2015,Asia,,69 -India,IND,2016,,,76 -India,IND,2017,,,80 -India,IND,2018,,1.995294987,82 -India,IND,2019,,,84 -Indonesia,IDN,2003,,,21 -Indonesia,IDN,2004,,,29 -Indonesia,IDN,2005,,,23 -Indonesia,IDN,2006,,,50 -Indonesia,IDN,2007,,,73 -Indonesia,IDN,2008,,,66 -Indonesia,IDN,2009,,,67 -Indonesia,IDN,2010,,,74 -Indonesia,IDN,2011,,,76 -Indonesia,IDN,2012,,,78 -Indonesia,IDN,2013,,,76 -Indonesia,IDN,2014,,,28 -Indonesia,IDN,2015,Asia,,31 -Indonesia,IDN,2016,,,55 -Indonesia,IDN,2017,,,63 -Indonesia,IDN,2018,,5.737725649,67 -Indonesia,IDN,2019,,,71 -Iran,IRN,2000,,,99 -Iran,IRN,2001,,,94 -Iran,IRN,2002,,,96 -Iran,IRN,2003,,,96 -Iran,IRN,2004,,,99 -Iran,IRN,2005,,,92 -Iran,IRN,2006,,,98 -Iran,IRN,2007,,,97 -Iran,IRN,2008,,,96 -Iran,IRN,2009,,,99 -Iran,IRN,2010,,,99 -Iran,IRN,2011,,,99 -Iran,IRN,2012,,,97 -Iran,IRN,2013,,,97 -Iran,IRN,2014,,,98 -Iran,IRN,2015,Asia,,98 -Iran,IRN,2016,,,98 -Iran,IRN,2017,,,98 -Iran,IRN,2018,,9.154814714,98 -Iran,IRN,2019,,,98 -Iraq,IRQ,2001,,,52 -Iraq,IRQ,2002,,,48 -Iraq,IRQ,2003,,,45 -Iraq,IRQ,2004,,,41 -Iraq,IRQ,2005,,,58 -Iraq,IRQ,2006,,,52 -Iraq,IRQ,2007,,,64 -Iraq,IRQ,2008,,,76 -Iraq,IRQ,2009,,,87 -Iraq,IRQ,2010,,,77 -Iraq,IRQ,2011,,,77 -Iraq,IRQ,2012,,,68 -Iraq,IRQ,2013,,,57 -Iraq,IRQ,2014,,,67 -Iraq,IRQ,2015,Asia,,76 -Iraq,IRQ,2016,,,78 -Iraq,IRQ,2017,,,88 -Iraq,IRQ,2018,,4.446227372,81 -Iraq,IRQ,2019,,,86 -Ireland,IRL,2015,Europe,, -Ireland,IRL,2018,,9.355552291, -Isle of Man,IMN,2015,Europe,, -Israel,ISR,2001,,,97 -Israel,ISR,2002,,,97 -Israel,ISR,2003,,,97 -Israel,ISR,2004,,,97 -Israel,ISR,2005,,,96 -Israel,ISR,2006,,,96 -Israel,ISR,2007,,,90 -Israel,ISR,2008,,,91 -Israel,ISR,2009,,,92 -Israel,ISR,2010,,,93 -Israel,ISR,2011,,,87 -Israel,ISR,2012,,,89 -Israel,ISR,2013,,,95 -Israel,ISR,2014,,,96 -Israel,ISR,2015,Asia,,97 -Israel,ISR,2016,,,97 -Israel,ISR,2017,,,96 -Israel,ISR,2018,,4.820923171,96 -Israel,ISR,2019,,,96 -Italy,ITA,2013,,,84 -Italy,ITA,2014,,,83 -Italy,ITA,2015,Europe,,83 -Italy,ITA,2016,,,82 -Italy,ITA,2017,,,86 -Italy,ITA,2018,,13.71469477,89 -Italy,ITA,2019,,,88 -Jamaica,JAM,2001,,,96 -Jamaica,JAM,2002,,,96 -Jamaica,JAM,2003,,,95 -Jamaica,JAM,2004,,,95 -Jamaica,JAM,2005,,,91 -Jamaica,JAM,2006,,,88 -Jamaica,JAM,2007,,,84 -Jamaica,JAM,2008,,,80 -Jamaica,JAM,2009,,,78 -Jamaica,JAM,2010,,,56 -Jamaica,JAM,2011,,,60 -Jamaica,JAM,2012,,,76 -Jamaica,JAM,2013,,,71 -Jamaica,JAM,2014,,,72 -Jamaica,JAM,2015,North America,,83 -Jamaica,JAM,2016,,,85 -Jamaica,JAM,2017,,,95 -Jamaica,JAM,2018,,,82 -Jamaica,JAM,2019,,,92 -Japan,JPN,2008,,,78 -Japan,JPN,2009,,,92 -Japan,JPN,2010,,,97 -Japan,JPN,2011,,,92 -Japan,JPN,2012,,,92 -Japan,JPN,2013,,,93 -Japan,JPN,2014,,,94 -Japan,JPN,2015,Asia,,93 -Japan,JPN,2016,,,93 -Japan,JPN,2017,,,95 -Japan,JPN,2018,,8.347281956,93 -Japan,JPN,2019,,,93 -Jersey,JEY,2015,Europe,, -Jordan,JOR,2000,,,83 -Jordan,JOR,2001,,,87 -Jordan,JOR,2002,,,90 -Jordan,JOR,2003,,,91 -Jordan,JOR,2004,,,98 -Jordan,JOR,2005,,,92 -Jordan,JOR,2006,,,88 -Jordan,JOR,2007,,,97 -Jordan,JOR,2008,,,90 -Jordan,JOR,2009,,,90 -Jordan,JOR,2010,,,95 -Jordan,JOR,2011,,,95 -Jordan,JOR,2012,,,96 -Jordan,JOR,2013,,,98 -Jordan,JOR,2014,,,98 -Jordan,JOR,2015,Asia,,96 -Jordan,JOR,2016,,,99 -Jordan,JOR,2017,,,99 -Jordan,JOR,2018,,3.153373732,96 -Jordan,JOR,2019,,,96 -Kazakhstan,KAZ,2000,,,98 -Kazakhstan,KAZ,2001,,,95 -Kazakhstan,KAZ,2002,,,98 -Kazakhstan,KAZ,2003,,,99 -Kazakhstan,KAZ,2004,,,99 -Kazakhstan,KAZ,2005,,,96 -Kazakhstan,KAZ,2006,,,99 -Kazakhstan,KAZ,2007,,,99 -Kazakhstan,KAZ,2008,,,99 -Kazakhstan,KAZ,2009,,,99 -Kazakhstan,KAZ,2010,,,99 -Kazakhstan,KAZ,2011,,,99 -Kazakhstan,KAZ,2012,,,97 -Kazakhstan,KAZ,2013,,,99 -Kazakhstan,KAZ,2014,,,99 -Kazakhstan,KAZ,2015,Asia,,98 -Kazakhstan,KAZ,2016,,,99 -Kazakhstan,KAZ,2017,,,99 -Kazakhstan,KAZ,2018,,10.3336845,98 -Kazakhstan,KAZ,2019,,,98 -Kenya,KEN,2015,Africa,,28 -Kenya,KEN,2016,,,32 -Kenya,KEN,2017,,,35 -Kenya,KEN,2018,,5.300983921,45 -Kenya,KEN,2019,,,45 -Kiribati,KIR,2009,,,35 -Kiribati,KIR,2010,,,21 -Kiribati,KIR,2011,,,61 -Kiribati,KIR,2012,,,9 -Kiribati,KIR,2013,,,84 -Kiribati,KIR,2014,,,80 -Kiribati,KIR,2015,Oceania,,76 -Kiribati,KIR,2016,,,79 -Kiribati,KIR,2017,,,79 -Kiribati,KIR,2018,,,85 -Kiribati,KIR,2019,,,91 -Kosovo,OWID_KOS,2015,Europe,, -Kosovo,OWID_KOS,2018,,5.418528202, -Kuwait,KWT,2005,,,77 -Kuwait,KWT,2006,,,96 -Kuwait,KWT,2007,,,90 -Kuwait,KWT,2008,,,86 -Kuwait,KWT,2009,,,94 -Kuwait,KWT,2010,,,99 -Kuwait,KWT,2011,,,99 -Kuwait,KWT,2012,,,99 -Kuwait,KWT,2013,,,99 -Kuwait,KWT,2014,,,86 -Kuwait,KWT,2015,Asia,,96 -Kuwait,KWT,2016,,,99 -Kuwait,KWT,2017,,,99 -Kuwait,KWT,2018,,4.097016132,94 -Kuwait,KWT,2019,,,94 -Kyrgyzstan,KGZ,2000,,,96 -Kyrgyzstan,KGZ,2001,,,98 -Kyrgyzstan,KGZ,2002,,,98 -Kyrgyzstan,KGZ,2003,,,98 -Kyrgyzstan,KGZ,2004,,,98 -Kyrgyzstan,KGZ,2005,,,98 -Kyrgyzstan,KGZ,2006,,,97 -Kyrgyzstan,KGZ,2007,,,95 -Kyrgyzstan,KGZ,2008,,,97 -Kyrgyzstan,KGZ,2009,,,98 -Kyrgyzstan,KGZ,2010,,,98 -Kyrgyzstan,KGZ,2011,,,98 -Kyrgyzstan,KGZ,2012,,,98 -Kyrgyzstan,KGZ,2013,,,97 -Kyrgyzstan,KGZ,2014,,,97 -Kyrgyzstan,KGZ,2015,Asia,,96 -Kyrgyzstan,KGZ,2016,,,98 -Kyrgyzstan,KGZ,2017,,,96 -Kyrgyzstan,KGZ,2018,,8.841450211,96 -Kyrgyzstan,KGZ,2019,,,98 -Laos,LAO,2015,Asia,, -Laos,LAO,2018,,1.856595172,57 -Laos,LAO,2019,,,57 -Latvia,LVA,2000,,,90 -Latvia,LVA,2001,,,95 -Latvia,LVA,2002,,,96 -Latvia,LVA,2003,,,97 -Latvia,LVA,2004,,,98 -Latvia,LVA,2005,,,99 -Latvia,LVA,2006,,,99 -Latvia,LVA,2007,,,98 -Latvia,LVA,2008,,,94 -Latvia,LVA,2009,,,92 -Latvia,LVA,2010,,,93 -Latvia,LVA,2011,,,92 -Latvia,LVA,2012,,,92 -Latvia,LVA,2013,,,92 -Latvia,LVA,2014,,,89 -Latvia,LVA,2015,Europe,,92 -Latvia,LVA,2016,,,89 -Latvia,LVA,2017,,,89 -Latvia,LVA,2018,,17.0717777,94 -Latvia,LVA,2019,,,96 -Lebanon,LBN,2000,,,56 -Lebanon,LBN,2001,,,42 -Lebanon,LBN,2002,,,28 -Lebanon,LBN,2003,,,14 -Lebanon,LBN,2004,,,24 -Lebanon,LBN,2005,,,34 -Lebanon,LBN,2006,,,45 -Lebanon,LBN,2007,,,55 -Lebanon,LBN,2008,,,65 -Lebanon,LBN,2009,,,75 -Lebanon,LBN,2010,,,73 -Lebanon,LBN,2011,,,70 -Lebanon,LBN,2012,,,68 -Lebanon,LBN,2013,,,65 -Lebanon,LBN,2014,,,63 -Lebanon,LBN,2015,Asia,,63 -Lebanon,LBN,2016,,,63 -Lebanon,LBN,2017,,,63 -Lebanon,LBN,2018,,3.348813152,63 -Lebanon,LBN,2019,,,63 -Lesotho,LSO,2001,,,46 -Lesotho,LSO,2002,,,50 -Lesotho,LSO,2003,,,47 -Lesotho,LSO,2004,,,56 -Lesotho,LSO,2005,,,68 -Lesotho,LSO,2006,,,80 -Lesotho,LSO,2007,,,80 -Lesotho,LSO,2008,,,80 -Lesotho,LSO,2009,,,81 -Lesotho,LSO,2010,,,81 -Lesotho,LSO,2011,,,82 -Lesotho,LSO,2012,,,82 -Lesotho,LSO,2013,,,82 -Lesotho,LSO,2014,,,82 -Lesotho,LSO,2015,Africa,,82 -Lesotho,LSO,2016,,,82 -Lesotho,LSO,2017,,,82 -Lesotho,LSO,2018,,,82 -Lesotho,LSO,2019,,,82 -Liberia,LBR,2015,Africa,, -Liberia,LBR,2018,,2.505175939, -Liberia,LBR,2019,,,13 -Libya,LBY,2001,,,81 -Libya,LBY,2002,,,86 -Libya,LBY,2003,,,90 -Libya,LBY,2004,,,95 -Libya,LBY,2005,,,95 -Libya,LBY,2006,,,96 -Libya,LBY,2007,,,97 -Libya,LBY,2008,,,97 -Libya,LBY,2009,,,97 -Libya,LBY,2010,,,97 -Libya,LBY,2011,,,97 -Libya,LBY,2012,,,97 -Libya,LBY,2013,,,95 -Libya,LBY,2014,,,92 -Libya,LBY,2015,Africa,,97 -Libya,LBY,2016,,,96 -Libya,LBY,2017,,,94 -Libya,LBY,2018,,9.027480215,72 -Libya,LBY,2019,,,72 -Liechtenstein,LIE,2015,Europe,, -Lithuania,LTU,2000,,,97 -Lithuania,LTU,2001,,,96 -Lithuania,LTU,2002,,,95 -Lithuania,LTU,2003,,,93 -Lithuania,LTU,2004,,,93 -Lithuania,LTU,2005,,,95 -Lithuania,LTU,2006,,,94 -Lithuania,LTU,2007,,,96 -Lithuania,LTU,2008,,,96 -Lithuania,LTU,2009,,,94 -Lithuania,LTU,2010,,,95 -Lithuania,LTU,2011,,,94 -Lithuania,LTU,2012,,,93 -Lithuania,LTU,2013,,,92 -Lithuania,LTU,2014,,,92 -Lithuania,LTU,2015,Europe,,92 -Lithuania,LTU,2016,,,92 -Lithuania,LTU,2017,,,92 -Lithuania,LTU,2018,,8.280441649,92 -Lithuania,LTU,2019,,,93 -Low income,,2000,,,3 -Low income,,2001,,,4 -Low income,,2002,,,4 -Low income,,2003,,,4 -Low income,,2004,,,4 -Low income,,2005,,,5 -Low income,,2006,,,6 -Low income,,2007,,,5 -Low income,,2008,,,8 -Low income,,2009,,,8 -Low income,,2010,,,9 -Low income,,2011,,,8 -Low income,,2012,,,9 -Low income,,2013,,,12 -Low income,,2014,,,13 -Low income,,2015,,,18 -Low income,,2016,,,23 -Low income,,2017,,,25 -Low income,,2018,,,27 -Low income,,2019,,,36 -Low income (non-Gavi countries),,2000,,,80 -Low income (non-Gavi countries),,2001,,,83 -Low income (non-Gavi countries),,2002,,,84 -Low income (non-Gavi countries),,2003,,,83 -Low income (non-Gavi countries),,2004,,,82 -Low income (non-Gavi countries),,2005,,,81 -Low income (non-Gavi countries),,2006,,,81 -Low income (non-Gavi countries),,2007,,,81 -Low income (non-Gavi countries),,2008,,,81 -Low income (non-Gavi countries),,2009,,,82 -Low income (non-Gavi countries),,2010,,,82 -Low income (non-Gavi countries),,2011,,,71 -Low income (non-Gavi countries),,2012,,,53 -Low income (non-Gavi countries),,2013,,,51 -Low income (non-Gavi countries),,2014,,,49 -Low income (non-Gavi countries),,2015,,,47 -Low income (non-Gavi countries),,2016,,,52 -Low income (non-Gavi countries),,2017,,,59 -Low income (non-Gavi countries),,2018,,,54 -Low income (non-Gavi countries),,2019,,,54 -Luxembourg,LUX,2012,,,86 -Luxembourg,LUX,2013,,,86 -Luxembourg,LUX,2014,,,86 -Luxembourg,LUX,2015,Europe,,86 -Luxembourg,LUX,2016,,,86 -Luxembourg,LUX,2017,,,86 -Luxembourg,LUX,2018,,12.3730704,90 -Luxembourg,LUX,2019,,,90 -Macao,MAC,2015,Asia,, -Macedonia,MKD,2000,,,95 -Macedonia,MKD,2001,,,94 -Macedonia,MKD,2002,,,95 -Macedonia,MKD,2003,,,97 -Macedonia,MKD,2004,,,95 -Macedonia,MKD,2005,,,95 -Macedonia,MKD,2006,,,96 -Macedonia,MKD,2007,,,95 -Macedonia,MKD,2008,,,95 -Macedonia,MKD,2009,,,97 -Macedonia,MKD,2010,,,99 -Macedonia,MKD,2011,,,98 -Macedonia,MKD,2012,,,96 -Macedonia,MKD,2013,,,96 -Macedonia,MKD,2014,,,96 -Macedonia,MKD,2015,Europe,,93 -Macedonia,MKD,2016,,,93 -Macedonia,MKD,2017,,,97 -Macedonia,MKD,2018,,13.51227687,94 -Macedonia,MKD,2019,,,94 -Madagascar,MDG,2015,Africa,, -Madagascar,MDG,2018,,10.40111937, -Malawi,MWI,2015,Africa,,8 -Malawi,MWI,2016,,,61 -Malawi,MWI,2017,,,67 -Malawi,MWI,2018,,3.840526239,72 -Malawi,MWI,2019,,,75 -Malaysia,MYS,2005,,,91 -Malaysia,MYS,2006,,,90 -Malaysia,MYS,2007,,,92 -Malaysia,MYS,2008,,,93 -Malaysia,MYS,2009,,,95 -Malaysia,MYS,2010,,,95 -Malaysia,MYS,2011,,,95 -Malaysia,MYS,2012,,,99 -Malaysia,MYS,2013,,,99 -Malaysia,MYS,2014,,,99 -Malaysia,MYS,2015,Asia,,99 -Malaysia,MYS,2016,,,99 -Malaysia,MYS,2017,,,99 -Malaysia,MYS,2018,,2.804414366,88 -Malaysia,MYS,2019,,,87 -Maldives,MDV,2007,,,56 -Maldives,MDV,2008,,,76 -Maldives,MDV,2009,,,96 -Maldives,MDV,2010,,,96 -Maldives,MDV,2011,,,96 -Maldives,MDV,2012,,,99 -Maldives,MDV,2013,,,99 -Maldives,MDV,2014,,,97 -Maldives,MDV,2015,Asia,,99 -Maldives,MDV,2016,,,99 -Maldives,MDV,2017,,,99 -Maldives,MDV,2018,,,99 -Maldives,MDV,2019,,,99 -Mali,MLI,2015,Africa,, -Mali,MLI,2018,,17.1458224, -Mali,MLI,2019,,,4 -Malta,MLT,2003,,,2 -Malta,MLT,2004,,,31 -Malta,MLT,2005,,,60 -Malta,MLT,2006,,,86 -Malta,MLT,2007,,,77 -Malta,MLT,2008,,,83 -Malta,MLT,2009,,,85 -Malta,MLT,2010,,,85 -Malta,MLT,2011,,,85 -Malta,MLT,2012,,,91 -Malta,MLT,2013,,,88 -Malta,MLT,2014,,,94 -Malta,MLT,2015,Europe,,91 -Malta,MLT,2016,,,86 -Malta,MLT,2017,,,83 -Malta,MLT,2018,,6.252081044,95 -Malta,MLT,2019,,,95 -Marshall Islands,MHL,2000,,,6 -Marshall Islands,MHL,2001,,,6 -Marshall Islands,MHL,2002,,,70 -Marshall Islands,MHL,2003,,,90 -Marshall Islands,MHL,2004,,,92 -Marshall Islands,MHL,2005,,,71 -Marshall Islands,MHL,2006,,,60 -Marshall Islands,MHL,2007,,,91 -Marshall Islands,MHL,2008,,,79 -Marshall Islands,MHL,2009,,,66 -Marshall Islands,MHL,2010,,,90 -Marshall Islands,MHL,2011,,,74 -Marshall Islands,MHL,2012,,,58 -Marshall Islands,MHL,2013,,,56 -Marshall Islands,MHL,2014,,,53 -Marshall Islands,MHL,2015,Oceania,,70 -Marshall Islands,MHL,2016,,,49 -Marshall Islands,MHL,2017,,,62 -Marshall Islands,MHL,2018,,,61 -Marshall Islands,MHL,2019,,,64 -Martinique,MTQ,2015,North America,, -Mauritania,MRT,2015,Africa,, -Mauritania,MRT,2018,,9.6241817, -Mauritius,MUS,2004,,,80 -Mauritius,MUS,2005,,,78 -Mauritius,MUS,2006,,,85 -Mauritius,MUS,2007,,,80 -Mauritius,MUS,2008,,,83 -Mauritius,MUS,2009,,,85 -Mauritius,MUS,2010,,,90 -Mauritius,MUS,2011,,,89 -Mauritius,MUS,2012,,,90 -Mauritius,MUS,2013,,,85 -Mauritius,MUS,2014,,,85 -Mauritius,MUS,2015,Africa,,96 -Mauritius,MUS,2016,,,92 -Mauritius,MUS,2017,,,95 -Mauritius,MUS,2018,,17.02140053,99 -Mauritius,MUS,2019,,,99 -Mayotte,MYT,2015,Africa,, -Mecklenburg Schwerin,OWID_MEC,2015,Europe,, -Mexico,MEX,2000,,,98 -Mexico,MEX,2001,,,99 -Mexico,MEX,2002,,,89 -Mexico,MEX,2003,,,96 -Mexico,MEX,2004,,,97 -Mexico,MEX,2005,,,97 -Mexico,MEX,2006,,,91 -Mexico,MEX,2007,,,85 -Mexico,MEX,2008,,,94 -Mexico,MEX,2009,,,92 -Mexico,MEX,2010,,,91 -Mexico,MEX,2011,,,97 -Mexico,MEX,2012,,,92 -Mexico,MEX,2013,,,76 -Mexico,MEX,2014,,,95 -Mexico,MEX,2015,North America,,96 -Mexico,MEX,2016,,,98 -Mexico,MEX,2017,,,62 -Mexico,MEX,2018,,6.539340492,99 -Mexico,MEX,2019,,,73 -Micronesia,,2000,,,50 -Micronesia,,2001,,,64 -Micronesia,,2002,,,65 -Micronesia,,2003,,,66 -Micronesia,,2004,,,74 -Micronesia,,2005,,,84 -Micronesia,,2006,,,85 -Micronesia,,2007,,,86 -Micronesia,,2008,,,84 -Micronesia,,2009,,,82 -Micronesia,,2010,,,75 -Micronesia,,2011,,,75 -Micronesia,,2012,,,70 -Micronesia,,2013,,,75 -Micronesia,,2014,,,75 -Micronesia,,2015,,,74 -Micronesia,,2016,,,45 -Micronesia,,2017,,,52 -Micronesia,,2018,,,48 -Micronesia,,2019,,,52 -Micronesia (country),FSM,2015,Oceania,, -Middle East,,2018,,6, -Middle income,,2000,,,16 -Middle income,,2001,,,18 -Middle income,,2002,,,17 -Middle income,,2003,,,18 -Middle income,,2004,,,19 -Middle income,,2005,,,34 -Middle income,,2006,,,36 -Middle income,,2007,,,37 -Middle income,,2008,,,39 -Middle income,,2009,,,42 -Middle income,,2010,,,42 -Middle income,,2011,,,51 -Middle income,,2012,,,55 -Middle income,,2013,,,60 -Middle income,,2014,,,63 -Middle income,,2015,,,67 -Middle income,,2016,,,72 -Middle income,,2017,,,73 -Middle income,,2018,,,75 -Middle income,,2019,,,75 -Middle-income (non-Gavi countries),,2000,,,34 -Middle-income (non-Gavi countries),,2001,,,37 -Middle-income (non-Gavi countries),,2002,,,35 -Middle-income (non-Gavi countries),,2003,,,37 -Middle-income (non-Gavi countries),,2004,,,38 -Middle-income (non-Gavi countries),,2005,,,74 -Middle-income (non-Gavi countries),,2006,,,77 -Middle-income (non-Gavi countries),,2007,,,76 -Middle-income (non-Gavi countries),,2008,,,78 -Middle-income (non-Gavi countries),,2009,,,82 -Middle-income (non-Gavi countries),,2010,,,82 -Middle-income (non-Gavi countries),,2011,,,85 -Middle-income (non-Gavi countries),,2012,,,84 -Middle-income (non-Gavi countries),,2013,,,84 -Middle-income (non-Gavi countries),,2014,,,88 -Middle-income (non-Gavi countries),,2015,,,88 -Middle-income (non-Gavi countries),,2016,,,89 -Middle-income (non-Gavi countries),,2017,,,87 -Middle-income (non-Gavi countries),,2018,,,88 -Middle-income (non-Gavi countries),,2019,,,85 -Modena,OWID_MOD,2015,Europe,, -Moldova,MDA,2002,,,69 -Moldova,MDA,2003,,,96 -Moldova,MDA,2004,,,98 -Moldova,MDA,2005,,,98 -Moldova,MDA,2006,,,99 -Moldova,MDA,2007,,,95 -Moldova,MDA,2008,,,97 -Moldova,MDA,2009,,,98 -Moldova,MDA,2010,,,98 -Moldova,MDA,2011,,,96 -Moldova,MDA,2012,,,95 -Moldova,MDA,2013,,,94 -Moldova,MDA,2014,,,93 -Moldova,MDA,2015,Europe,,90 -Moldova,MDA,2016,,,95 -Moldova,MDA,2017,,,92 -Moldova,MDA,2018,,10.74900774,96 -Moldova,MDA,2019,,,95 -Monaco,MCO,2014,,,79 -Monaco,MCO,2015,Europe,,79 -Monaco,MCO,2016,,,79 -Monaco,MCO,2017,,,79 -Monaco,MCO,2018,,,79 -Monaco,MCO,2019,,,79 -Mongolia,MNG,2000,,,75 -Mongolia,MNG,2001,,,95 -Mongolia,MNG,2002,,,96 -Mongolia,MNG,2003,,,98 -Mongolia,MNG,2004,,,98 -Mongolia,MNG,2005,,,98 -Mongolia,MNG,2006,,,96 -Mongolia,MNG,2007,,,97 -Mongolia,MNG,2008,,,96 -Mongolia,MNG,2009,,,97 -Mongolia,MNG,2010,,,95 -Mongolia,MNG,2011,,,98 -Mongolia,MNG,2012,,,98 -Mongolia,MNG,2013,,,97 -Mongolia,MNG,2014,,,98 -Mongolia,MNG,2015,Asia,,98 -Mongolia,MNG,2016,,,90 -Mongolia,MNG,2017,,,98 -Mongolia,MNG,2018,,15.97529209,98 -Mongolia,MNG,2019,,,98 -Montenegro,MNE,2007,,,95 -Montenegro,MNE,2008,,,96 -Montenegro,MNE,2009,,,96 -Montenegro,MNE,2010,,,97 -Montenegro,MNE,2011,,,97 -Montenegro,MNE,2012,,,97 -Montenegro,MNE,2013,,,94 -Montenegro,MNE,2014,,,95 -Montenegro,MNE,2015,Europe,,94 -Montenegro,MNE,2016,,,86 -Montenegro,MNE,2017,,,83 -Montenegro,MNE,2018,,13.43791788,86 -Montenegro,MNE,2019,,,86 -Montserrat,MSR,2015,North America,, -Morocco,MAR,2004,,,91 -Morocco,MAR,2005,,,92 -Morocco,MAR,2006,,,92 -Morocco,MAR,2007,,,92 -Morocco,MAR,2014,,,54 -Morocco,MAR,2015,Africa,,95 -Morocco,MAR,2016,,,99 -Morocco,MAR,2017,,,99 -Morocco,MAR,2018,,3.873115668,99 -Morocco,MAR,2019,,,99 -Mozambique,MOZ,2015,Africa,, -Mozambique,MOZ,2016,,,36 -Mozambique,MOZ,2017,,,45 -Mozambique,MOZ,2018,,4.376628804,59 -Mozambique,MOZ,2019,,,85 -Myanmar,MMR,2008,,,57 -Myanmar,MMR,2009,,,65 -Myanmar,MMR,2010,,,75 -Myanmar,MMR,2011,,,80 -Myanmar,MMR,2013,,,80 -Myanmar,MMR,2014,,,82 -Myanmar,MMR,2015,Asia,,78 -Myanmar,MMR,2016,,,86 -Myanmar,MMR,2017,,,80 -Myanmar,MMR,2018,,4.199570654,87 -Myanmar,MMR,2019,,,80 -Nagorno-Karabakh,OWID_NAG,2015,Asia,, -Namibia,NAM,2015,Africa,, -Namibia,NAM,2017,,,32 -Namibia,NAM,2018,,11.16687438,50 -Namibia,NAM,2019,,,56 -Nauru,NRU,2001,,,95 -Nauru,NRU,2002,,,83 -Nauru,NRU,2003,,,72 -Nauru,NRU,2004,,,60 -Nauru,NRU,2005,,,50 -Nauru,NRU,2006,,,97 -Nauru,NRU,2007,,,99 -Nauru,NRU,2008,,,99 -Nauru,NRU,2009,,,92 -Nauru,NRU,2010,,,99 -Nauru,NRU,2011,,,99 -Nauru,NRU,2012,,,81 -Nauru,NRU,2013,,,88 -Nauru,NRU,2014,,,94 -Nauru,NRU,2015,Oceania,,96 -Nauru,NRU,2016,,,97 -Nauru,NRU,2017,,,94 -Nauru,NRU,2018,,,94 -Nauru,NRU,2019,,,95 -Nepal,NPL,2015,Asia,, -Nepal,NPL,2016,,,25 -Nepal,NPL,2017,,,59 -Nepal,NPL,2018,,3.303721329,69 -Nepal,NPL,2019,,,76 -Netherlands,NLD,2002,,,96 -Netherlands,NLD,2003,,,98 -Netherlands,NLD,2004,,,98 -Netherlands,NLD,2005,,,93 -Netherlands,NLD,2006,,,92 -Netherlands,NLD,2007,,,92 -Netherlands,NLD,2008,,,93 -Netherlands,NLD,2009,,,93 -Netherlands,NLD,2010,,,92 -Netherlands,NLD,2011,,,93 -Netherlands,NLD,2012,,,93 -Netherlands,NLD,2013,,,92 -Netherlands,NLD,2014,,,93 -Netherlands,NLD,2015,Europe,,92 -Netherlands,NLD,2016,,,91 -Netherlands,NLD,2017,,,90 -Netherlands,NLD,2018,,16.95792187,89 -Netherlands,NLD,2019,,,90 -Netherlands Antilles,ANT,2015,North America,, -New Caledonia,NCL,2015,Oceania,, -New Zealand,NZL,2011,,,86 -New Zealand,NZL,2012,,,85 -New Zealand,NZL,2013,,,86 -New Zealand,NZL,2014,,,86 -New Zealand,NZL,2015,Oceania,,87 -New Zealand,NZL,2016,,,89 -New Zealand,NZL,2017,,,90 -New Zealand,NZL,2018,,9.809272194,90 -New Zealand,NZL,2019,,,90 -Nicaragua,NIC,2015,North America,, -Nicaragua,NIC,2017,,,84 -Nicaragua,NIC,2018,,2.770323364,95 -Nicaragua,NIC,2019,,,99 -Niger,NER,2014,,,3 -Niger,NER,2015,Africa,,16 -Niger,NER,2016,,,31 -Niger,NER,2017,,,46 -Niger,NER,2018,,7.241705941,48 -Niger,NER,2019,,,58 -Nigeria,NGA,2015,Africa,, -Nigeria,NGA,2018,,4.9520462, -Nigeria,NGA,2019,,,9 -Niue,NIU,2000,,,99 -Niue,NIU,2001,,,99 -Niue,NIU,2002,,,90 -Niue,NIU,2003,,,86 -Niue,NIU,2004,,,99 -Niue,NIU,2005,,,70 -Niue,NIU,2006,,,99 -Niue,NIU,2007,,,99 -Niue,NIU,2008,,,99 -Niue,NIU,2009,,,99 -Niue,NIU,2010,,,99 -Niue,NIU,2011,,,98 -Niue,NIU,2012,,,98 -Niue,NIU,2013,,,99 -Niue,NIU,2014,,,99 -Niue,NIU,2015,Oceania,,99 -Niue,NIU,2016,,,99 -Niue,NIU,2017,,,99 -Niue,NIU,2018,,,99 -Niue,NIU,2019,,,99 -Norfolk Island,NFK,2015,Oceania,, -North Africa,,2018,,4, -North Korea,PRK,2008,,,75 -North Korea,PRK,2009,,,75 -North Korea,PRK,2010,,,76 -North Korea,PRK,2011,,,76 -North Korea,PRK,2012,,,76 -North Korea,PRK,2013,,,76 -North Korea,PRK,2014,,,76 -North Korea,PRK,2015,Asia,,85 -North Korea,PRK,2016,,,98 -North Korea,PRK,2017,,,98 -North Korea,PRK,2018,,,99 -North Korea,PRK,2019,,,98 -Northern America,,2018,,11, -Northern Cyprus,OWID_CYN,2015,Asia,, -Northern Cyprus,OWID_CYN,2018,,4.080252763, -Northern Europe,,2018,,10, -Northern Mariana Islands,MNP,2015,Oceania,, -Norway,NOR,2000,,,90 -Norway,NOR,2001,,,90 -Norway,NOR,2002,,,90 -Norway,NOR,2003,,,89 -Norway,NOR,2004,,,90 -Norway,NOR,2005,,,91 -Norway,NOR,2006,,,91 -Norway,NOR,2007,,,93 -Norway,NOR,2008,,,95 -Norway,NOR,2009,,,96 -Norway,NOR,2010,,,97 -Norway,NOR,2011,,,94 -Norway,NOR,2012,,,91 -Norway,NOR,2013,,,91 -Norway,NOR,2014,,,92 -Norway,NOR,2015,Europe,,91 -Norway,NOR,2016,,,91 -Norway,NOR,2017,,,91 -Norway,NOR,2018,,5.672668284,93 -Norway,NOR,2019,,,95 -Oman,OMN,2000,,,99 -Oman,OMN,2001,,,99 -Oman,OMN,2002,,,98 -Oman,OMN,2003,,,98 -Oman,OMN,2004,,,98 -Oman,OMN,2005,,,97 -Oman,OMN,2006,,,97 -Oman,OMN,2007,,,95 -Oman,OMN,2008,,,98 -Oman,OMN,2009,,,99 -Oman,OMN,2010,,,99 -Oman,OMN,2011,,,99 -Oman,OMN,2012,,,99 -Oman,OMN,2013,,,99 -Oman,OMN,2014,,,99 -Oman,OMN,2015,Asia,,98 -Oman,OMN,2016,,,99 -Oman,OMN,2017,,,99 -Oman,OMN,2018,,,99 -Oman,OMN,2019,,,99 -Pakistan,PAK,2009,,,30 -Pakistan,PAK,2010,,,34 -Pakistan,PAK,2011,,,38 -Pakistan,PAK,2012,,,42 -Pakistan,PAK,2013,,,43 -Pakistan,PAK,2014,,,48 -Pakistan,PAK,2015,Asia,,54 -Pakistan,PAK,2016,,,67 -Pakistan,PAK,2017,,,67 -Pakistan,PAK,2018,,4.48254764,67 -Pakistan,PAK,2019,,,71 -Palau,PLW,2000,,,75 -Palau,PLW,2001,,,83 -Palau,PLW,2002,,,90 -Palau,PLW,2003,,,94 -Palau,PLW,2004,,,98 -Palau,PLW,2005,,,95 -Palau,PLW,2006,,,98 -Palau,PLW,2007,,,83 -Palau,PLW,2008,,,77 -Palau,PLW,2009,,,79 -Palau,PLW,2010,,,39 -Palau,PLW,2011,,,83 -Palau,PLW,2012,,,86 -Palau,PLW,2013,,,98 -Palau,PLW,2014,,,81 -Palau,PLW,2015,Oceania,,82 -Palau,PLW,2016,,,95 -Palau,PLW,2017,,,77 -Palau,PLW,2018,,,75 -Palau,PLW,2019,,,88 -Palestine,PSE,2015,Asia,, -Palestine,PSE,2018,,2.984742974, -Panama,PAN,2000,,,88 -Panama,PAN,2001,,,88 -Panama,PAN,2002,,,88 -Panama,PAN,2003,,,89 -Panama,PAN,2004,,,89 -Panama,PAN,2005,,,89 -Panama,PAN,2006,,,86 -Panama,PAN,2007,,,83 -Panama,PAN,2008,,,79 -Panama,PAN,2009,,,76 -Panama,PAN,2010,,,73 -Panama,PAN,2011,,,81 -Panama,PAN,2012,,,72 -Panama,PAN,2013,,,68 -Panama,PAN,2014,,,90 -Panama,PAN,2015,North America,,92 -Panama,PAN,2016,,,93 -Panama,PAN,2017,,,93 -Panama,PAN,2018,,5.074907607,99 -Panama,PAN,2019,,,97 -Papua New Guinea,PNG,2015,Oceania,, -Papua New Guinea,PNG,2019,,,20 -Paraguay,PRY,2005,,,31 -Paraguay,PRY,2006,,,61 -Paraguay,PRY,2007,,,74 -Paraguay,PRY,2008,,,84 -Paraguay,PRY,2009,,,77 -Paraguay,PRY,2010,,,77 -Paraguay,PRY,2011,,,78 -Paraguay,PRY,2012,,,75 -Paraguay,PRY,2013,,,76 -Paraguay,PRY,2014,,,76 -Paraguay,PRY,2015,South America,,72 -Paraguay,PRY,2016,,,87 -Paraguay,PRY,2017,,,82 -Paraguay,PRY,2018,,7.960701128,83 -Paraguay,PRY,2019,,,83 -Parma,OWID_PMA,2015,Europe,, -Peru,PER,2007,,,9 -Peru,PER,2008,,,17 -Peru,PER,2009,,,42 -Peru,PER,2010,,,56 -Peru,PER,2011,,,70 -Peru,PER,2012,,,63 -Peru,PER,2013,,,54 -Peru,PER,2014,,,44 -Peru,PER,2015,South America,,63 -Peru,PER,2016,,,66 -Peru,PER,2017,,,66 -Peru,PER,2018,,17.46744447,66 -Peru,PER,2019,,,66 -Philippines,PHL,2009,,,19 -Philippines,PHL,2010,,,10 -Philippines,PHL,2011,,,33 -Philippines,PHL,2012,,,35 -Philippines,PHL,2013,,,45 -Philippines,PHL,2014,,,47 -Philippines,PHL,2015,Asia,,51 -Philippines,PHL,2016,,,47 -Philippines,PHL,2017,,,46 -Philippines,PHL,2018,,13.90519241,40 -Philippines,PHL,2019,,,40 -Pitcairn,PCN,2015,Oceania,, -Poland,POL,2000,,,96 -Poland,POL,2001,,,96 -Poland,POL,2002,,,97 -Poland,POL,2003,,,97 -Poland,POL,2004,,,96 -Poland,POL,2005,,,90 -Poland,POL,2006,,,99 -Poland,POL,2007,,,98 -Poland,POL,2008,,,97 -Poland,POL,2009,,,95 -Poland,POL,2010,,,94 -Poland,POL,2011,,,95 -Poland,POL,2012,,,95 -Poland,POL,2013,,,93 -Poland,POL,2014,,,95 -Poland,POL,2015,Europe,,94 -Poland,POL,2016,,,93 -Poland,POL,2017,,,93 -Poland,POL,2018,,5.265834808,92 -Poland,POL,2019,,,92 -Portugal,PRT,2000,,,48 -Portugal,PRT,2001,,,56 -Portugal,PRT,2002,,,64 -Portugal,PRT,2003,,,72 -Portugal,PRT,2004,,,79 -Portugal,PRT,2005,,,87 -Portugal,PRT,2006,,,95 -Portugal,PRT,2007,,,95 -Portugal,PRT,2008,,,95 -Portugal,PRT,2009,,,95 -Portugal,PRT,2010,,,95 -Portugal,PRT,2011,,,96 -Portugal,PRT,2012,,,96 -Portugal,PRT,2013,,,96 -Portugal,PRT,2014,,,96 -Portugal,PRT,2015,Europe,,95 -Portugal,PRT,2016,,,95 -Portugal,PRT,2017,,,95 -Portugal,PRT,2018,,5.142860342,96 -Portugal,PRT,2019,,,96 -Puerto Rico,PRI,2015,North America,, -Qatar,QAT,2002,,,91 -Qatar,QAT,2003,,,91 -Qatar,QAT,2004,,,95 -Qatar,QAT,2005,,,98 -Qatar,QAT,2006,,,87 -Qatar,QAT,2007,,,91 -Qatar,QAT,2008,,,95 -Qatar,QAT,2009,,,99 -Qatar,QAT,2010,,,98 -Qatar,QAT,2011,,,99 -Qatar,QAT,2012,,,99 -Qatar,QAT,2013,,,99 -Qatar,QAT,2014,,,95 -Qatar,QAT,2015,Asia,,91 -Qatar,QAT,2016,,,92 -Qatar,QAT,2017,,,93 -Qatar,QAT,2018,,,95 -Qatar,QAT,2019,,,95 -Republic of Vietnam,OWID_RVN,2015,Asia,, -Reunion,REU,2015,Africa,, -Romania,ROU,2000,,,96 -Romania,ROU,2001,,,97 -Romania,ROU,2002,,,97 -Romania,ROU,2003,,,97 -Romania,ROU,2004,,,96 -Romania,ROU,2005,,,96 -Romania,ROU,2006,,,96 -Romania,ROU,2007,,,96 -Romania,ROU,2008,,,95 -Romania,ROU,2009,,,94 -Romania,ROU,2010,,,93 -Romania,ROU,2011,,,91 -Romania,ROU,2012,,,90 -Romania,ROU,2013,,,88 -Romania,ROU,2014,,,84 -Romania,ROU,2015,Europe,,80 -Romania,ROU,2016,,,76 -Romania,ROU,2017,,,75 -Romania,ROU,2018,,12.88616864,81 -Romania,ROU,2019,,,76 -Russia,RUS,2000,,,86 -Russia,RUS,2001,,,88 -Russia,RUS,2002,,,93 -Russia,RUS,2003,,,96 -Russia,RUS,2004,,,97 -Russia,RUS,2005,,,97 -Russia,RUS,2006,,,97 -Russia,RUS,2007,,,97 -Russia,RUS,2008,,,97 -Russia,RUS,2009,,,97 -Russia,RUS,2010,,,98 -Russia,RUS,2011,,,97 -Russia,RUS,2012,,,97 -Russia,RUS,2013,,,97 -Russia,RUS,2014,,,97 -Russia,RUS,2015,Europe,,97 -Russia,RUS,2016,,,97 -Russia,RUS,2017,,,97 -Russia,RUS,2018,,23.61144764,97 -Russia,RUS,2019,,,97 -Rwanda,RWA,2015,Africa,,87 -Rwanda,RWA,2016,,,90 -Rwanda,RWA,2017,,,95 -Rwanda,RWA,2018,,1.638061847,96 -Rwanda,RWA,2019,,,92 -Saint Barthélemy,BLM,2015,North America,, -Saint Helena,SHN,2015,Africa,, -Saint Kitts and Nevis,KNA,2000,,,99 -Saint Kitts and Nevis,KNA,2001,,,99 -Saint Kitts and Nevis,KNA,2002,,,99 -Saint Kitts and Nevis,KNA,2003,,,98 -Saint Kitts and Nevis,KNA,2004,,,98 -Saint Kitts and Nevis,KNA,2005,,,97 -Saint Kitts and Nevis,KNA,2006,,,96 -Saint Kitts and Nevis,KNA,2007,,,95 -Saint Kitts and Nevis,KNA,2008,,,94 -Saint Kitts and Nevis,KNA,2009,,,99 -Saint Kitts and Nevis,KNA,2010,,,99 -Saint Kitts and Nevis,KNA,2011,,,99 -Saint Kitts and Nevis,KNA,2012,,,90 -Saint Kitts and Nevis,KNA,2013,,,94 -Saint Kitts and Nevis,KNA,2014,,,90 -Saint Kitts and Nevis,KNA,2015,North America,,90 -Saint Kitts and Nevis,KNA,2016,,,96 -Saint Kitts and Nevis,KNA,2017,,,95 -Saint Kitts and Nevis,KNA,2018,,,96 -Saint Kitts and Nevis,KNA,2019,,,98 -Saint Lucia,LCA,2000,,,89 -Saint Lucia,LCA,2001,,,73 -Saint Lucia,LCA,2002,,,71 -Saint Lucia,LCA,2003,,,69 -Saint Lucia,LCA,2004,,,67 -Saint Lucia,LCA,2005,,,56 -Saint Lucia,LCA,2006,,,45 -Saint Lucia,LCA,2007,,,33 -Saint Lucia,LCA,2008,,,22 -Saint Lucia,LCA,2009,,,63 -Saint Lucia,LCA,2010,,,74 -Saint Lucia,LCA,2011,,,72 -Saint Lucia,LCA,2012,,,80 -Saint Lucia,LCA,2013,,,62 -Saint Lucia,LCA,2014,,,79 -Saint Lucia,LCA,2015,North America,,95 -Saint Lucia,LCA,2016,,,88 -Saint Lucia,LCA,2017,,,73 -Saint Lucia,LCA,2018,,,68 -Saint Lucia,LCA,2019,,,75 -Saint Martin (French part),MAF,2015,North America,, -Saint Pierre and Miquelon,SPM,2015,North America,, -Saint Vincent and the Grenadines,VCT,2001,,,99 -Saint Vincent and the Grenadines,VCT,2002,,,99 -Saint Vincent and the Grenadines,VCT,2003,,,86 -Saint Vincent and the Grenadines,VCT,2004,,,73 -Saint Vincent and the Grenadines,VCT,2005,,,93 -Saint Vincent and the Grenadines,VCT,2006,,,88 -Saint Vincent and the Grenadines,VCT,2007,,,83 -Saint Vincent and the Grenadines,VCT,2008,,,94 -Saint Vincent and the Grenadines,VCT,2009,,,94 -Saint Vincent and the Grenadines,VCT,2010,,,89 -Saint Vincent and the Grenadines,VCT,2011,,,91 -Saint Vincent and the Grenadines,VCT,2012,,,92 -Saint Vincent and the Grenadines,VCT,2013,,,96 -Saint Vincent and the Grenadines,VCT,2014,,,98 -Saint Vincent and the Grenadines,VCT,2015,North America,,99 -Saint Vincent and the Grenadines,VCT,2016,,,99 -Saint Vincent and the Grenadines,VCT,2017,,,99 -Saint Vincent and the Grenadines,VCT,2018,,,99 -Saint Vincent and the Grenadines,VCT,2019,,,99 -Samoa,WSM,2002,,,84 -Samoa,WSM,2003,,,65 -Samoa,WSM,2004,,,45 -Samoa,WSM,2005,,,26 -Samoa,WSM,2006,,,6 -Samoa,WSM,2007,,,36 -Samoa,WSM,2008,,,46 -Samoa,WSM,2009,,,14 -Samoa,WSM,2010,,,30 -Samoa,WSM,2011,,,50 -Samoa,WSM,2012,,,52 -Samoa,WSM,2013,,,72 -Samoa,WSM,2014,,,63 -Samoa,WSM,2015,Oceania,,48 -Samoa,WSM,2016,,,44 -Samoa,WSM,2017,,,42 -Samoa,WSM,2018,,,13 -Samoa,WSM,2019,,,44 -San Marino,SMR,2003,,,94 -San Marino,SMR,2004,,,94 -San Marino,SMR,2005,,,94 -San Marino,SMR,2006,,,94 -San Marino,SMR,2007,,,94 -San Marino,SMR,2008,,,92 -San Marino,SMR,2009,,,92 -San Marino,SMR,2010,,,90 -San Marino,SMR,2011,,,92 -San Marino,SMR,2012,,,89 -San Marino,SMR,2013,,,85 -San Marino,SMR,2014,,,86 -San Marino,SMR,2015,Europe,,86 -San Marino,SMR,2016,,,81 -San Marino,SMR,2017,,,78 -San Marino,SMR,2018,,,84 -San Marino,SMR,2019,,,79 -Sao Tome and Principe,STP,2014,,,71 -Sao Tome and Principe,STP,2015,Africa,,76 -Sao Tome and Principe,STP,2016,,,76 -Sao Tome and Principe,STP,2017,,,76 -Sao Tome and Principe,STP,2018,,,76 -Sao Tome and Principe,STP,2019,,,81 -Saudi Arabia,SAU,2001,,,96 -Saudi Arabia,SAU,2002,,,96 -Saudi Arabia,SAU,2003,,,97 -Saudi Arabia,SAU,2004,,,97 -Saudi Arabia,SAU,2005,,,97 -Saudi Arabia,SAU,2006,,,97 -Saudi Arabia,SAU,2007,,,98 -Saudi Arabia,SAU,2008,,,98 -Saudi Arabia,SAU,2009,,,98 -Saudi Arabia,SAU,2010,,,98 -Saudi Arabia,SAU,2011,,,97 -Saudi Arabia,SAU,2012,,,98 -Saudi Arabia,SAU,2013,,,99 -Saudi Arabia,SAU,2014,,,98 -Saudi Arabia,SAU,2015,Asia,,96 -Saudi Arabia,SAU,2016,,,96 -Saudi Arabia,SAU,2017,,,96 -Saudi Arabia,SAU,2018,,2.732971172,97 -Saudi Arabia,SAU,2019,,,96 -Saxony,OWID_SAX,2015,Europe,, -Senegal,SEN,2014,,,13 -Senegal,SEN,2015,Africa,,54 -Senegal,SEN,2016,,,75 -Senegal,SEN,2017,,,70 -Senegal,SEN,2018,,14.74161457,63 -Senegal,SEN,2019,,,78 -Serbia,SRB,2000,,,78 -Serbia,SRB,2001,,,74 -Serbia,SRB,2002,,,75 -Serbia,SRB,2003,,,96 -Serbia,SRB,2004,,,96 -Serbia,SRB,2005,,,98 -Serbia,SRB,2006,,,90 -Serbia,SRB,2007,,,96 -Serbia,SRB,2008,,,97 -Serbia,SRB,2009,,,87 -Serbia,SRB,2010,,,91 -Serbia,SRB,2011,,,90 -Serbia,SRB,2012,,,90 -Serbia,SRB,2013,,,82 -Serbia,SRB,2014,,,91 -Serbia,SRB,2015,Europe,,86 -Serbia,SRB,2016,,,90 -Serbia,SRB,2017,,,91 -Serbia,SRB,2018,,9.233046412,90 -Serbia,SRB,2019,,,91 -Serbia and Montenegro,OWID_SRM,2015,Europe,, -Serbia excluding Kosovo,OWID_SEK,2015,Europe,, -Seychelles,SYC,2001,,,98 -Seychelles,SYC,2002,,,99 -Seychelles,SYC,2003,,,99 -Seychelles,SYC,2004,,,99 -Seychelles,SYC,2005,,,99 -Seychelles,SYC,2006,,,99 -Seychelles,SYC,2007,,,99 -Seychelles,SYC,2008,,,98 -Seychelles,SYC,2009,,,99 -Seychelles,SYC,2010,,,98 -Seychelles,SYC,2011,,,99 -Seychelles,SYC,2012,,,99 -Seychelles,SYC,2013,,,97 -Seychelles,SYC,2014,,,98 -Seychelles,SYC,2015,Africa,,98 -Seychelles,SYC,2016,,,99 -Seychelles,SYC,2017,,,99 -Seychelles,SYC,2018,,,97 -Seychelles,SYC,2019,,,99 -Sierra Leone,SLE,2015,Africa,,60 -Sierra Leone,SLE,2016,,,50 -Sierra Leone,SLE,2017,,,55 -Sierra Leone,SLE,2018,,3.92525476,64 -Sierra Leone,SLE,2019,,,72 -Singapore,SGP,2000,,,98 -Singapore,SGP,2001,,,96 -Singapore,SGP,2002,,,96 -Singapore,SGP,2003,,,96 -Singapore,SGP,2004,,,96 -Singapore,SGP,2005,,,95 -Singapore,SGP,2006,,,96 -Singapore,SGP,2007,,,96 -Singapore,SGP,2008,,,96 -Singapore,SGP,2009,,,95 -Singapore,SGP,2010,,,96 -Singapore,SGP,2011,,,96 -Singapore,SGP,2012,,,95 -Singapore,SGP,2013,,,90 -Singapore,SGP,2014,,,90 -Singapore,SGP,2015,Asia,,90 -Singapore,SGP,2016,,,88 -Singapore,SGP,2017,,,90 -Singapore,SGP,2018,,3.045648006,84 -Singapore,SGP,2019,,,84 -Sint Maarten (Dutch part),SXM,2015,North America,, -Slovakia,SVK,2000,,,99 -Slovakia,SVK,2001,,,99 -Slovakia,SVK,2002,,,99 -Slovakia,SVK,2003,,,99 -Slovakia,SVK,2004,,,98 -Slovakia,SVK,2005,,,98 -Slovakia,SVK,2006,,,99 -Slovakia,SVK,2007,,,98 -Slovakia,SVK,2008,,,99 -Slovakia,SVK,2009,,,99 -Slovakia,SVK,2010,,,99 -Slovakia,SVK,2011,,,99 -Slovakia,SVK,2012,,,99 -Slovakia,SVK,2013,,,99 -Slovakia,SVK,2014,,,98 -Slovakia,SVK,2015,Europe,,98 -Slovakia,SVK,2016,,,97 -Slovakia,SVK,2017,,,97 -Slovakia,SVK,2018,,6.388160352,97 -Slovakia,SVK,2019,,,98 -Slovenia,SVN,2000,,,98 -Slovenia,SVN,2001,,,98 -Slovenia,SVN,2002,,,98 -Slovenia,SVN,2003,,,98 -Slovenia,SVN,2004,,,99 -Slovenia,SVN,2005,,,99 -Slovenia,SVN,2006,,,99 -Slovenia,SVN,2007,,,98 -Slovenia,SVN,2008,,,98 -Slovenia,SVN,2009,,,98 -Slovenia,SVN,2010,,,96 -Slovenia,SVN,2011,,,96 -Slovenia,SVN,2012,,,96 -Slovenia,SVN,2013,,,95 -Slovenia,SVN,2014,,,94 -Slovenia,SVN,2015,Europe,,96 -Slovenia,SVN,2016,,,93 -Slovenia,SVN,2017,,,94 -Slovenia,SVN,2018,,12.28595453,94 -Slovenia,SVN,2019,,,94 -Solomon Islands,SLB,2015,Oceania,, -Solomon Islands,SLB,2018,,,54 -Solomon Islands,SLB,2019,,,54 -Somalia,SOM,2015,Africa,, -Somaliland,OWID_SML,2015,Africa,, -South Africa,ZAF,2000,,,62 -South Africa,ZAF,2001,,,54 -South Africa,ZAF,2002,,,46 -South Africa,ZAF,2003,,,52 -South Africa,ZAF,2004,,,51 -South Africa,ZAF,2005,,,48 -South Africa,ZAF,2006,,,53 -South Africa,ZAF,2007,,,49 -South Africa,ZAF,2008,,,54 -South Africa,ZAF,2009,,,63 -South Africa,ZAF,2010,,,55 -South Africa,ZAF,2011,,,54 -South Africa,ZAF,2012,,,53 -South Africa,ZAF,2013,,,50 -South Africa,ZAF,2014,,,55 -South Africa,ZAF,2015,Africa,,59 -South Africa,ZAF,2016,,,63 -South Africa,ZAF,2017,,,53 -South Africa,ZAF,2018,,8.989362561,50 -South Africa,ZAF,2019,,,54 -South America,,2018,,9, -South Asia,,2018,,2, -South Georgia and the South Sandwich Islands,SGS,2015,South America,, -South Korea,KOR,2000,,,39 -South Korea,KOR,2001,,,67 -South Korea,KOR,2002,,,95 -South Korea,KOR,2003,,,95 -South Korea,KOR,2004,,,99 -South Korea,KOR,2005,,,99 -South Korea,KOR,2006,,,99 -South Korea,KOR,2007,,,99 -South Korea,KOR,2008,,,99 -South Korea,KOR,2009,,,99 -South Korea,KOR,2010,,,98 -South Korea,KOR,2011,,,98 -South Korea,KOR,2012,,,97 -South Korea,KOR,2013,,,95 -South Korea,KOR,2014,,,96 -South Korea,KOR,2015,Asia,,97 -South Korea,KOR,2016,,,97 -South Korea,KOR,2017,,,97 -South Korea,KOR,2018,,7.88782279,97 -South Korea,KOR,2019,,,96 -South Ossetia,OWID_SOS,2015,Asia,, -South Sudan,SSD,2015,Africa,, -South-East Asia,,2000,,,3 -South-East Asia,,2001,,,3 -South-East Asia,,2002,,,3 -South-East Asia,,2003,,,6 -South-East Asia,,2004,,,7 -South-East Asia,,2005,,,6 -South-East Asia,,2006,,,9 -South-East Asia,,2007,,,12 -South-East Asia,,2008,,,14 -South-East Asia,,2009,,,14 -South-East Asia,,2010,,,15 -South-East Asia,,2011,,,35 -South-East Asia,,2012,,,43 -South-East Asia,,2013,,,59 -South-East Asia,,2014,,,59 -South-East Asia,,2015,,,66 -South-East Asia,,2016,,,75 -South-East Asia,,2017,,,79 -South-East Asia,,2018,,,81 -South-East Asia,,2019,,,83 -Southeast Asia,,2018,,7, -Southern Africa,,2018,,9, -Southern Europe,,2018,,10, -Spain,ESP,2004,,,91 -Spain,ESP,2005,,,92 -Spain,ESP,2006,,,94 -Spain,ESP,2007,,,95 -Spain,ESP,2008,,,94 -Spain,ESP,2009,,,90 -Spain,ESP,2010,,,92 -Spain,ESP,2011,,,91 -Spain,ESP,2012,,,90 -Spain,ESP,2013,,,91 -Spain,ESP,2014,,,93 -Spain,ESP,2015,Europe,,94 -Spain,ESP,2016,,,95 -Spain,ESP,2017,,,93 -Spain,ESP,2018,,7.039002198,94 -Spain,ESP,2019,,,94 -Sri Lanka,LKA,2001,,,52 -Sri Lanka,LKA,2002,,,92 -Sri Lanka,LKA,2003,,,90 -Sri Lanka,LKA,2004,,,95 -Sri Lanka,LKA,2005,,,99 -Sri Lanka,LKA,2006,,,98 -Sri Lanka,LKA,2007,,,97 -Sri Lanka,LKA,2008,,,97 -Sri Lanka,LKA,2009,,,97 -Sri Lanka,LKA,2010,,,99 -Sri Lanka,LKA,2011,,,99 -Sri Lanka,LKA,2012,,,99 -Sri Lanka,LKA,2013,,,99 -Sri Lanka,LKA,2014,,,99 -Sri Lanka,LKA,2015,Asia,,99 -Sri Lanka,LKA,2016,,,99 -Sri Lanka,LKA,2017,,,99 -Sri Lanka,LKA,2018,,7.046222648,99 -Sri Lanka,LKA,2019,,,99 -Sudan,SDN,2012,,,24 -Sudan,SDN,2013,,,57 -Sudan,SDN,2014,,,61 -Sudan,SDN,2015,Africa,,69 -Sudan,SDN,2016,,,69 -Sudan,SDN,2017,,,72 -Sudan,SDN,2018,,,72 -Sudan,SDN,2019,,,74 -Suriname,SUR,2013,,,33 -Suriname,SUR,2014,,,33 -Suriname,SUR,2015,South America,,43 -Suriname,SUR,2016,,,58 -Suriname,SUR,2017,,,56 -Suriname,SUR,2018,,,54 -Suriname,SUR,2019,,,58 -Svalbard and Jan Mayen,SJM,2015,Europe,, -Swaziland,SWZ,2002,,,99 -Swaziland,SWZ,2003,,,99 -Swaziland,SWZ,2004,,,99 -Swaziland,SWZ,2005,,,99 -Swaziland,SWZ,2006,,,99 -Swaziland,SWZ,2007,,,99 -Swaziland,SWZ,2008,,,99 -Swaziland,SWZ,2009,,,99 -Swaziland,SWZ,2010,,,99 -Swaziland,SWZ,2011,,,92 -Swaziland,SWZ,2012,,,52 -Swaziland,SWZ,2013,,,89 -Swaziland,SWZ,2014,,,89 -Swaziland,SWZ,2015,Africa,,83 -Swaziland,SWZ,2016,,,76 -Swaziland,SWZ,2017,,,70 -Swaziland,SWZ,2018,,10.09214205,75 -Swaziland,SWZ,2019,,,75 -Sweden,SWE,2000,,,94 -Sweden,SWE,2001,,,94 -Sweden,SWE,2002,,,94 -Sweden,SWE,2003,,,95 -Sweden,SWE,2004,,,95 -Sweden,SWE,2005,,,95 -Sweden,SWE,2006,,,95 -Sweden,SWE,2007,,,95 -Sweden,SWE,2008,,,94 -Sweden,SWE,2009,,,95 -Sweden,SWE,2010,,,94 -Sweden,SWE,2011,,,95 -Sweden,SWE,2012,,,95 -Sweden,SWE,2013,,,95 -Sweden,SWE,2014,,,95 -Sweden,SWE,2015,Europe,,95 -Sweden,SWE,2016,,,95 -Sweden,SWE,2017,,,95 -Sweden,SWE,2018,,12.27445226,95 -Sweden,SWE,2019,,,95 -Switzerland,CHE,2005,,,71 -Switzerland,CHE,2006,,,71 -Switzerland,CHE,2007,,,71 -Switzerland,CHE,2008,,,83 -Switzerland,CHE,2009,,,83 -Switzerland,CHE,2010,,,83 -Switzerland,CHE,2011,,,86 -Switzerland,CHE,2012,,,86 -Switzerland,CHE,2013,,,86 -Switzerland,CHE,2014,,,87 -Switzerland,CHE,2015,Europe,,87 -Switzerland,CHE,2016,,,87 -Switzerland,CHE,2017,,,90 -Switzerland,CHE,2018,,21.54384886,90 -Switzerland,CHE,2019,,,90 -Syria,SYR,2000,,,80 -Syria,SYR,2001,,,83 -Syria,SYR,2002,,,84 -Syria,SYR,2003,,,83 -Syria,SYR,2004,,,82 -Syria,SYR,2005,,,81 -Syria,SYR,2006,,,81 -Syria,SYR,2007,,,81 -Syria,SYR,2008,,,81 -Syria,SYR,2009,,,82 -Syria,SYR,2010,,,82 -Syria,SYR,2011,,,71 -Syria,SYR,2012,,,53 -Syria,SYR,2013,,,51 -Syria,SYR,2014,,,49 -Syria,SYR,2015,Asia,,47 -Syria,SYR,2016,,,52 -Syria,SYR,2017,,,59 -Syria,SYR,2018,,,54 -Syria,SYR,2019,,,54 -Taiwan,TWN,2015,Asia,, -Taiwan,TWN,2018,,17.03331984, -Tajikistan,TJK,2000,,,59 -Tajikistan,TJK,2001,,,72 -Tajikistan,TJK,2002,,,93 -Tajikistan,TJK,2003,,,94 -Tajikistan,TJK,2004,,,98 -Tajikistan,TJK,2005,,,92 -Tajikistan,TJK,2006,,,96 -Tajikistan,TJK,2007,,,90 -Tajikistan,TJK,2008,,,87 -Tajikistan,TJK,2009,,,93 -Tajikistan,TJK,2010,,,95 -Tajikistan,TJK,2011,,,96 -Tajikistan,TJK,2012,,,97 -Tajikistan,TJK,2013,,,92 -Tajikistan,TJK,2014,,,98 -Tajikistan,TJK,2015,Asia,,94 -Tajikistan,TJK,2016,,,97 -Tajikistan,TJK,2017,,,98 -Tajikistan,TJK,2018,,0.892688266,97 -Tajikistan,TJK,2019,,,97 -Tanzania,TZA,2014,,,29 -Tanzania,TZA,2015,Africa,,53 -Tanzania,TZA,2016,,,63 -Tanzania,TZA,2017,,,67 -Tanzania,TZA,2018,,2.29331399,68 -Tanzania,TZA,2019,,,72 -Thailand,THA,2000,,,99 -Thailand,THA,2001,,,86 -Thailand,THA,2002,,,89 -Thailand,THA,2003,,,92 -Thailand,THA,2004,,,95 -Thailand,THA,2005,,,95 -Thailand,THA,2006,,,94 -Thailand,THA,2007,,,94 -Thailand,THA,2008,,,91 -Thailand,THA,2009,,,91 -Thailand,THA,2010,,,91 -Thailand,THA,2011,,,91 -Thailand,THA,2012,,,91 -Thailand,THA,2013,,,94 -Thailand,THA,2014,,,94 -Thailand,THA,2015,Asia,,95 -Thailand,THA,2016,,,95 -Thailand,THA,2017,,,95 -Thailand,THA,2018,,3.004244503,87 -Thailand,THA,2019,,,87 -Timor,TLS,2015,Asia,, -Timor,TLS,2016,,,30 -Timor,TLS,2017,,,57 -Timor,TLS,2018,,,54 -Timor,TLS,2019,,,80 -Togo,TGO,2015,Africa,, -Togo,TGO,2018,,25.01030975, -Togo,TGO,2019,,,67 -Tokelau,TKL,2015,Oceania,, -Tonga,TON,2003,,,96 -Tonga,TON,2004,,,99 -Tonga,TON,2005,,,98 -Tonga,TON,2006,,,99 -Tonga,TON,2007,,,99 -Tonga,TON,2008,,,98 -Tonga,TON,2009,,,98 -Tonga,TON,2010,,,98 -Tonga,TON,2011,,,99 -Tonga,TON,2012,,,95 -Tonga,TON,2013,,,99 -Tonga,TON,2014,,,92 -Tonga,TON,2015,Oceania,,99 -Tonga,TON,2016,,,99 -Tonga,TON,2017,,,99 -Tonga,TON,2018,,,99 -Tonga,TON,2019,,,99 -Transnistria,OWID_TRS,2015,Europe,, -Trinidad and Tobago,TTO,2001,,,80 -Trinidad and Tobago,TTO,2002,,,77 -Trinidad and Tobago,TTO,2003,,,73 -Trinidad and Tobago,TTO,2004,,,78 -Trinidad and Tobago,TTO,2005,,,84 -Trinidad and Tobago,TTO,2006,,,78 -Trinidad and Tobago,TTO,2007,,,87 -Trinidad and Tobago,TTO,2008,,,81 -Trinidad and Tobago,TTO,2009,,,80 -Trinidad and Tobago,TTO,2010,,,82 -Trinidad and Tobago,TTO,2011,,,83 -Trinidad and Tobago,TTO,2012,,,85 -Trinidad and Tobago,TTO,2013,,,86 -Trinidad and Tobago,TTO,2014,,,93 -Trinidad and Tobago,TTO,2015,North America,,79 -Trinidad and Tobago,TTO,2016,,,65 -Trinidad and Tobago,TTO,2017,,,90 -Trinidad and Tobago,TTO,2018,,,92 -Trinidad and Tobago,TTO,2019,,,92 -Tunisia,TUN,2000,,,98 -Tunisia,TUN,2001,,,99 -Tunisia,TUN,2002,,,98 -Tunisia,TUN,2003,,,99 -Tunisia,TUN,2004,,,99 -Tunisia,TUN,2005,,,99 -Tunisia,TUN,2006,,,98 -Tunisia,TUN,2007,,,98 -Tunisia,TUN,2008,,,99 -Tunisia,TUN,2009,,,97 -Tunisia,TUN,2010,,,98 -Tunisia,TUN,2011,,,97 -Tunisia,TUN,2012,,,96 -Tunisia,TUN,2013,,,98 -Tunisia,TUN,2014,,,91 -Tunisia,TUN,2015,Africa,,94 -Tunisia,TUN,2016,,,91 -Tunisia,TUN,2017,,,91 -Tunisia,TUN,2018,,5.060910814,92 -Tunisia,TUN,2019,,,93 -Turkey,TUR,2001,,,91 -Turkey,TUR,2002,,,83 -Turkey,TUR,2003,,,97 -Turkey,TUR,2004,,,97 -Turkey,TUR,2005,,,98 -Turkey,TUR,2006,,,84 -Turkey,TUR,2007,,,94 -Turkey,TUR,2008,,,92 -Turkey,TUR,2009,,,88 -Turkey,TUR,2010,,,91 -Turkey,TUR,2011,,,86 -Turkey,TUR,2012,,,85 -Turkey,TUR,2013,,,98 -Turkey,TUR,2014,,,88 -Turkey,TUR,2015,Asia,,86 -Turkey,TUR,2016,,,85 -Turkey,TUR,2017,,,86 -Turkey,TUR,2018,,5.890945262,87 -Turkey,TUR,2019,,,88 -Turkmenistan,TKM,2000,,,92 -Turkmenistan,TKM,2001,,,94 -Turkmenistan,TKM,2002,,,87 -Turkmenistan,TKM,2003,,,89 -Turkmenistan,TKM,2004,,,90 -Turkmenistan,TKM,2005,,,98 -Turkmenistan,TKM,2006,,,99 -Turkmenistan,TKM,2007,,,98 -Turkmenistan,TKM,2008,,,99 -Turkmenistan,TKM,2009,,,99 -Turkmenistan,TKM,2010,,,99 -Turkmenistan,TKM,2011,,,99 -Turkmenistan,TKM,2012,,,99 -Turkmenistan,TKM,2013,,,99 -Turkmenistan,TKM,2014,,,99 -Turkmenistan,TKM,2015,Asia,,99 -Turkmenistan,TKM,2016,,,99 -Turkmenistan,TKM,2017,,,99 -Turkmenistan,TKM,2018,,4.851585638,99 -Turkmenistan,TKM,2019,,,99 -Turks and Caicos Islands,TCA,2015,North America,, -Tuscany,OWID_TUS,2015,Europe,, -Tuvalu,TUV,2001,,,99 -Tuvalu,TUV,2002,,,97 -Tuvalu,TUV,2003,,,93 -Tuvalu,TUV,2004,,,90 -Tuvalu,TUV,2005,,,86 -Tuvalu,TUV,2006,,,83 -Tuvalu,TUV,2007,,,74 -Tuvalu,TUV,2008,,,82 -Tuvalu,TUV,2009,,,84 -Tuvalu,TUV,2010,,,87 -Tuvalu,TUV,2011,,,90 -Tuvalu,TUV,2012,,,93 -Tuvalu,TUV,2013,,,84 -Tuvalu,TUV,2014,,,91 -Tuvalu,TUV,2015,Oceania,,86 -Tuvalu,TUV,2016,,,92 -Tuvalu,TUV,2017,,,94 -Tuvalu,TUV,2018,,,81 -Tuvalu,TUV,2019,,,92 -Two Sicilies,OWID_SIC,2015,Europe,, -USSR,OWID_USS,2015,Europe,, -Uganda,UGA,2015,Africa,, -Uganda,UGA,2018,,8.528302665, -Ukraine,UKR,2000,,,99 -Ukraine,UKR,2001,,,98 -Ukraine,UKR,2002,,,98 -Ukraine,UKR,2003,,,99 -Ukraine,UKR,2004,,,97 -Ukraine,UKR,2005,,,96 -Ukraine,UKR,2006,,,98 -Ukraine,UKR,2007,,,96 -Ukraine,UKR,2008,,,95 -Ukraine,UKR,2009,,,68 -Ukraine,UKR,2010,,,41 -Ukraine,UKR,2011,,,56 -Ukraine,UKR,2012,,,54 -Ukraine,UKR,2013,,,54 -Ukraine,UKR,2014,,,57 -Ukraine,UKR,2015,Europe,,57 -Ukraine,UKR,2016,,,31 -Ukraine,UKR,2017,,,84 -Ukraine,UKR,2018,,15.26527319,90 -Ukraine,UKR,2019,,,92 -United Arab Emirates,ARE,2000,,,92 -United Arab Emirates,ARE,2001,,,92 -United Arab Emirates,ARE,2002,,,92 -United Arab Emirates,ARE,2003,,,92 -United Arab Emirates,ARE,2004,,,92 -United Arab Emirates,ARE,2005,,,94 -United Arab Emirates,ARE,2006,,,93 -United Arab Emirates,ARE,2007,,,93 -United Arab Emirates,ARE,2008,,,92 -United Arab Emirates,ARE,2009,,,93 -United Arab Emirates,ARE,2010,,,94 -United Arab Emirates,ARE,2011,,,95 -United Arab Emirates,ARE,2012,,,96 -United Arab Emirates,ARE,2013,,,98 -United Arab Emirates,ARE,2014,,,99 -United Arab Emirates,ARE,2015,Asia,,99 -United Arab Emirates,ARE,2016,,,99 -United Arab Emirates,ARE,2017,,,99 -United Arab Emirates,ARE,2018,,4.379337596,99 -United Arab Emirates,ARE,2019,,,99 -United Kingdom,GBR,2000,,,76 -United Kingdom,GBR,2001,,,74 -United Kingdom,GBR,2002,,,74 -United Kingdom,GBR,2003,,,77 -United Kingdom,GBR,2004,,,76 -United Kingdom,GBR,2005,,,75 -United Kingdom,GBR,2006,,,75 -United Kingdom,GBR,2007,,,74 -United Kingdom,GBR,2008,,,75 -United Kingdom,GBR,2009,,,79 -United Kingdom,GBR,2010,,,84 -United Kingdom,GBR,2011,,,85 -United Kingdom,GBR,2012,,,87 -United Kingdom,GBR,2013,,,88 -United Kingdom,GBR,2014,,,89 -United Kingdom,GBR,2015,Europe,,89 -United Kingdom,GBR,2016,,,89 -United Kingdom,GBR,2017,,,88 -United Kingdom,GBR,2018,,8.731762141,88 -United Kingdom,GBR,2019,,,87 -United Korea,OWID_KRU,2015,Asia,, -United States,USA,2000,,,85 -United States,USA,2001,,,86 -United States,USA,2002,,,86 -United States,USA,2003,,,86 -United States,USA,2004,,,86 -United States,USA,2005,,,86 -United States,USA,2006,,,86 -United States,USA,2007,,,86 -United States,USA,2008,,,87 -United States,USA,2009,,,88 -United States,USA,2010,,,89 -United States,USA,2011,,,90 -United States,USA,2012,,,91 -United States,USA,2013,,,91 -United States,USA,2014,,,92 -United States,USA,2015,North America,,93 -United States,USA,2016,,,94 -United States,USA,2017,,,94 -United States,USA,2018,,11.08898779,94 -United States,USA,2019,,,95 -United States Minor Outlying Islands,UMI,2015,Oceania,, -United States Virgin Islands,VIR,2015,North America,, -Uruguay,URY,2013,,,92 -Uruguay,URY,2014,,,93 -Uruguay,URY,2015,South America,,93 -Uruguay,URY,2016,,,92 -Uruguay,URY,2017,,,92 -Uruguay,URY,2018,,10.75892578,91 -Uruguay,URY,2019,,,99 -Uzbekistan,UZB,2000,,,98 -Uzbekistan,UZB,2001,,,98 -Uzbekistan,UZB,2002,,,97 -Uzbekistan,UZB,2003,,,98 -Uzbekistan,UZB,2004,,,99 -Uzbekistan,UZB,2005,,,81 -Uzbekistan,UZB,2006,,,63 -Uzbekistan,UZB,2007,,,44 -Uzbekistan,UZB,2008,,,26 -Uzbekistan,UZB,2009,,,8 -Uzbekistan,UZB,2010,,,54 -Uzbekistan,UZB,2011,,,99 -Uzbekistan,UZB,2012,,,99 -Uzbekistan,UZB,2013,,,99 -Uzbekistan,UZB,2014,,,99 -Uzbekistan,UZB,2015,Asia,,99 -Uzbekistan,UZB,2016,,,99 -Uzbekistan,UZB,2017,,,99 -Uzbekistan,UZB,2018,,3.322893256,99 -Uzbekistan,UZB,2019,,,99 -Vanuatu,VUT,2015,Oceania,, -Vatican,VAT,2015,Europe,, -Venezuela,VEN,2009,,,6 -Venezuela,VEN,2010,,,31 -Venezuela,VEN,2011,,,26 -Venezuela,VEN,2012,,,33 -Venezuela,VEN,2013,,,38 -Venezuela,VEN,2014,,,50 -Venezuela,VEN,2015,South America,,52 -Venezuela,VEN,2016,,,53 -Venezuela,VEN,2017,,,59 -Venezuela,VEN,2018,,4.056766995,39 -Venezuela,VEN,2019,,,13 -Vietnam,VNM,2007,,,18 -Vietnam,VNM,2008,,,97 -Vietnam,VNM,2009,,,96 -Vietnam,VNM,2010,,,98 -Vietnam,VNM,2011,,,93 -Vietnam,VNM,2012,,,83 -Vietnam,VNM,2013,,,86 -Vietnam,VNM,2014,,,94 -Vietnam,VNM,2015,Asia,,92 -Vietnam,VNM,2016,,,95 -Vietnam,VNM,2017,,,93 -Vietnam,VNM,2018,,8.115222817,90 -Vietnam,VNM,2019,,,92 -Wallis and Futuna,WLF,2015,Oceania,, -West Germany,OWID_GFR,2015,Europe,, -Western Africa,,2018,,8, -Western Europe,,2018,,22, -Western Pacific,,2000,,,2 -Western Pacific,,2001,,,2 -Western Pacific,,2002,,,3 -Western Pacific,,2003,,,3 -Western Pacific,,2004,,,4 -Western Pacific,,2005,,,65 -Western Pacific,,2006,,,72 -Western Pacific,,2007,,,72 -Western Pacific,,2008,,,82 -Western Pacific,,2009,,,87 -Western Pacific,,2010,,,87 -Western Pacific,,2011,,,89 -Western Pacific,,2012,,,89 -Western Pacific,,2013,,,90 -Western Pacific,,2014,,,91 -Western Pacific,,2015,,,91 -Western Pacific,,2016,,,91 -Western Pacific,,2017,,,91 -Western Pacific,,2018,,,91 -Western Pacific,,2019,,,91 -Western Sahara,ESH,2015,Africa,, -World,OWID_WRL,2000,,,18 -World,OWID_WRL,2001,,,20 -World,OWID_WRL,2002,,,20 -World,OWID_WRL,2003,,,21 -World,OWID_WRL,2004,,,22 -World,OWID_WRL,2005,,,33 -World,OWID_WRL,2006,,,35 -World,OWID_WRL,2007,,,36 -World,OWID_WRL,2008,,,38 -World,OWID_WRL,2009,,,41 -World,OWID_WRL,2010,,,42 -World,OWID_WRL,2011,,,48 -World,OWID_WRL,2012,,,51 -World,OWID_WRL,2013,,,56 -World,OWID_WRL,2014,,,59 -World,OWID_WRL,2015,,,63 -World,OWID_WRL,2016,,,67 -World,OWID_WRL,2017,,,68 -World,OWID_WRL,2018,,7,69 -World,OWID_WRL,2019,,,71 -Wuerttemburg,OWID_WRT,2015,Europe,, -Yemen,YEM,2005,,,21 -Yemen,YEM,2006,,,26 -Yemen,YEM,2007,,,32 -Yemen,YEM,2008,,,35 -Yemen,YEM,2009,,,38 -Yemen,YEM,2010,,,43 -Yemen,YEM,2011,,,46 -Yemen,YEM,2012,,,40 -Yemen,YEM,2013,,,47 -Yemen,YEM,2014,,,45 -Yemen,YEM,2015,Asia,,41 -Yemen,YEM,2016,,,49 -Yemen,YEM,2017,,,46 -Yemen,YEM,2018,,3.062775585,46 -Yemen,YEM,2019,,,46 -Yemen Arab Republic,OWID_YAR,2015,Asia,, -Yemen People's Republic,OWID_YPR,2015,Asia,, -Yugoslavia,OWID_YGS,2015,Europe,, -Zambia,ZMB,2014,,,33 -Zambia,ZMB,2015,Africa,,47 -Zambia,ZMB,2016,,,58 -Zambia,ZMB,2017,,,64 -Zambia,ZMB,2018,,10.27586541,65 -Zambia,ZMB,2019,,,66 -Zanzibar,OWID_ZAN,2015,Africa,, -Zimbabwe,ZWE,2015,Africa,, -Zimbabwe,ZWE,2016,,,63 -Zimbabwe,ZWE,2017,,,78 -Zimbabwe,ZWE,2018,,3.765832379,78 -Zimbabwe,ZWE,2019,,,75 -Ã…land Islands,ALA,2015,Europe,, \ No newline at end of file diff --git a/vaccination_viruses/Deliverable 1/data/data_for_introduction/vaccine_coverage.pdf b/vaccination_viruses/Deliverable 1/data/data_for_introduction/vaccine_coverage.pdf deleted file mode 100644 index 0ac4be25e5ce56a49a3e7b2a348c2a01eb04a3c6..0000000000000000000000000000000000000000 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