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<!DOCTYPE html>
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<head>
<title>Collect and use open access World Bank data to know your country</title>
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<meta name="author" content="Bruno Thiago Tomio" />
<meta name="date" content="2020-11-26" />
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# Collect and use open access World Bank data to know your country
### [`Bruno Thiago Tomio`](https://bttomio.github.io)
### &#x26f0;&#xfe0f; R in Grenoble - Working Sessions
#### 26 November 2020
<a href="https://github.com/bttomio" class="github-corner" aria-label="View source on Github"><svg width="80" height="80" viewBox="0 0 250 250" style="fill:#fff; color:#151513; position: absolute; top: 0; border: 0; right: 0;" aria-hidden="true"><path d="M0,0 L115,115 L130,115 L142,142 L250,250 L250,0 Z"></path><path d="M128.3,109.0 C113.8,99.7 119.0,89.6 119.0,89.6 C122.0,82.7 120.5,78.6 120.5,78.6 C119.2,72.0 123.4,76.3 123.4,76.3 C127.3,80.9 125.5,87.3 125.5,87.3 C122.9,97.6 130.6,101.9 134.4,103.2" fill="currentColor" style="transform-origin: 130px 106px;" class="octo-arm"></path><path d="M115.0,115.0 C114.9,115.1 118.7,116.5 119.8,115.4 L133.7,101.6 C136.9,99.2 139.9,98.4 142.2,98.6 C133.8,88.0 127.5,74.4 143.8,58.0 C148.5,53.4 154.0,51.2 159.7,51.0 C160.3,49.4 163.2,43.6 171.4,40.1 C171.4,40.1 176.1,42.5 178.8,56.2 C183.1,58.6 187.2,61.8 190.9,65.4 C194.5,69.0 197.7,73.2 200.1,77.6 C213.8,80.2 216.3,84.9 216.3,84.9 C212.7,93.1 206.9,96.0 205.4,96.6 C205.1,102.4 203.0,107.8 198.3,112.5 C181.9,128.9 168.3,122.5 157.7,114.1 C157.9,116.9 156.7,120.9 152.7,124.9 L141.0,136.5 C139.8,137.7 141.6,141.9 141.8,141.8 Z" fill="currentColor" class="octo-body"></path></svg></a><style>.github-corner:hover .octo-arm{animation:octocat-wave 560ms ease-in-out}@keyframes octocat-wave{0%,100%{transform:rotate(0)}20%,60%{transform:rotate(-25deg)}40%,80%{transform:rotate(10deg)}}@media (max-width:500px){.github-corner:hover .octo-arm{animation:none}.github-corner .octo-arm{animation:octocat-wave 560ms ease-in-out}}</style>
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# General view
---
# World Bank data in <svg viewBox="0 0 581 512" xmlns="http://www.w3.org/2000/svg" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;"> [ comment ] <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg>
The `WDI` package allows us to search and download data from the World Bank (several datasets, with thousands of variables)
--
**Advantages**
- Reproducible research
--
- Annual, quarterly, and monthly data in long format
--
- Collect, plot, analyse, and estimate econometric models in the same free software
--
**Important links**
- Package website, developed by [Vincent Arel-Bundock](vincent.arel-bundock@umontreal.ca) </br> [https://vincentarelbundock.github.io/WDI/index.html](https://vincentarelbundock.github.io/WDI/index.html)
--
- DataBank, to check variables details </br> [https://databank.worldbank.org/](https://databank.worldbank.org/)
--
- `wbstats` (alternative package) </br> [http://nset-ornl.github.io/wbstats/index.html](http://nset-ornl.github.io/wbstats/index.html)
---
count: false
class: inverse, center, middle
# Hands-on
Based on the package website </br> https://vincentarelbundock.github.io/WDI/index.html
---
**Installation**
```r
install.packages('WDI')
```
--
**Searching for data**
You need to use **keywords** to search for data with the command `WDIsearch`
```r
# Search for 'GDP'
WDIsearch('GDP')
```
--
You can create an object in the global environment to easily navigate all the variables with the keyword
```r
# Save results for 'GDP'
GDP_search <- WDIsearch('GDP')
```
---
**Collect data**
*GDP per capita for France (FR) and Brazil (BR)*
```r
# indicator = NY.GDP.PCAP.KD / name = GDP per capita (constant 2010 US$)
indicator <- c("GDP per capita" = 'NY.GDP.PCAP.KD')
dat1 <- WDI(indicator, country=c('FR', 'BR'), end = 2019)
head(dat1)
```
```
## iso2c country GDP per capita year
## 1 BR Brazil 11121.74 2019
## 2 BR Brazil 11079.71 2018
## 3 BR Brazil 11021.72 2017
## 4 BR Brazil 10965.97 2016
## 5 BR Brazil 11431.15 2015
## 6 BR Brazil 11951.21 2014
```
*GDP per capita (US$ and local currency unity) for France (FR) and Brazil (BR)*
```r
# indicators = NY.GDP.PCAP.KD and NY.GDP.PCAP.KN / names = GDP per capita (constant 2010 US$)
# and GDP per capita (constant LCU)
indicators <- c("GDP per capita (US$)" = 'NY.GDP.PCAP.KD',
"GDP per capita (LCU)" = "NY.GDP.PCAP.KN")
dat2 <- WDI(indicators, country=c('FR', 'BR'), end = 2019)
head(dat2)
```
```
## iso2c country year GDP per capita (US$) GDP per capita (LCU)
## 1 BR Brazil 1960 3417.352 6011.806
## 2 BR Brazil 1961 3660.391 6439.361
## 3 BR Brazil 1962 3740.433 6580.170
## 4 BR Brazil 1963 3664.978 6447.429
## 5 BR Brazil 1964 3685.493 6483.519
## 6 BR Brazil 1965 3692.846 6496.454
```
---
**Plot data (1/2)**
```r
library(ggplot2)
# GDP per capita for France and Brazil
ggplot(dat1, aes(year, `GDP per capita`, color=country)) + geom_line() +
xlab('Year') + ylab('GDP per capita')
```
<img src="Slides_files/figure-html/unnamed-chunk-6-1.png" style="display: block; margin: auto;" />
---
**Plot data (2/2)**
```r
# GDP per capita (US$ and local currency unity) for France and Brazil
*library(ggthemes)
ggplot(dat2, aes(year, color=country)) +
* geom_line(aes(year, `GDP per capita (US$)`)) +
* geom_line(aes(year, `GDP per capita (LCU)`), linetype = "dashed") +
xlab('Year') + ylab('GDP per capita') +
* labs(caption = "GDP per capita (US$), solid; GDP per capita (LCU), dashed") +
* theme_economist() +
* scale_colour_economist()
```
<img src="Slides_files/figure-html/unnamed-chunk-7-1.png" style="display: block; margin: auto;" />
---
**More details on the indicators**
```r
library(dplyr)
Data_info <- WDI_data
Data_series <- as.data.frame(Data_info$series) %>%
filter(indicator == "NY.GDP.PCAP.KD")
colnames(Data_series)
```
```
## [1] "indicator" "name" "description"
## [4] "sourceDatabase" "sourceOrganization"
```
```r
Data_series$description
```
[1] "GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2010 U.S. dollars."
---
**More details on the geographical selection**
```r
library(knitr)
library(kableExtra)
Data_countries <- as.data.frame(Data_info$country)
Data_countries %>%
kable("html") %>%
kable_styling(font_size = 11) %>%
scroll_box(width = "100%", height = "60%")
```
<div style="border: 1px solid #ddd; padding: 0px; overflow-y: scroll; height:60%; overflow-x: scroll; width:100%; "><table class="table" style="font-size: 11px; margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> iso3c </th>
<th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> iso2c </th>
<th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> country </th>
<th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> region </th>
<th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> capital </th>
<th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> longitude </th>
<th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> latitude </th>
<th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> income </th>
<th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> lending </th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;"> ABW </td>
<td style="text-align:left;"> AW </td>
<td style="text-align:left;"> Aruba </td>
<td style="text-align:left;"> Latin America &amp; Caribbean </td>
<td style="text-align:left;"> Oranjestad </td>
<td style="text-align:left;"> -70.0167 </td>
<td style="text-align:left;"> 12.5167 </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> AFG </td>
<td style="text-align:left;"> AF </td>
<td style="text-align:left;"> Afghanistan </td>
<td style="text-align:left;"> South Asia </td>
<td style="text-align:left;"> Kabul </td>
<td style="text-align:left;"> 69.1761 </td>
<td style="text-align:left;"> 34.5228 </td>
<td style="text-align:left;"> Low income </td>
<td style="text-align:left;"> IDA </td>
</tr>
<tr>
<td style="text-align:left;"> AFR </td>
<td style="text-align:left;"> A9 </td>
<td style="text-align:left;"> Africa </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> AGO </td>
<td style="text-align:left;"> AO </td>
<td style="text-align:left;"> Angola </td>
<td style="text-align:left;"> Sub-Saharan Africa </td>
<td style="text-align:left;"> Luanda </td>
<td style="text-align:left;"> 13.242 </td>
<td style="text-align:left;"> -8.81155 </td>
<td style="text-align:left;"> Lower middle income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> ALB </td>
<td style="text-align:left;"> AL </td>
<td style="text-align:left;"> Albania </td>
<td style="text-align:left;"> Europe &amp; Central Asia </td>
<td style="text-align:left;"> Tirane </td>
<td style="text-align:left;"> 19.8172 </td>
<td style="text-align:left;"> 41.3317 </td>
<td style="text-align:left;"> Upper middle income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> AND </td>
<td style="text-align:left;"> AD </td>
<td style="text-align:left;"> Andorra </td>
<td style="text-align:left;"> Europe &amp; Central Asia </td>
<td style="text-align:left;"> Andorra la Vella </td>
<td style="text-align:left;"> 1.5218 </td>
<td style="text-align:left;"> 42.5075 </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> ANR </td>
<td style="text-align:left;"> L5 </td>
<td style="text-align:left;"> Andean Region </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> ARB </td>
<td style="text-align:left;"> 1A </td>
<td style="text-align:left;"> Arab World </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> ARE </td>
<td style="text-align:left;"> AE </td>
<td style="text-align:left;"> United Arab Emirates </td>
<td style="text-align:left;"> Middle East &amp; North Africa </td>
<td style="text-align:left;"> Abu Dhabi </td>
<td style="text-align:left;"> 54.3705 </td>
<td style="text-align:left;"> 24.4764 </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> ARG </td>
<td style="text-align:left;"> AR </td>
<td style="text-align:left;"> Argentina </td>
<td style="text-align:left;"> Latin America &amp; Caribbean </td>
<td style="text-align:left;"> Buenos Aires </td>
<td style="text-align:left;"> -58.4173 </td>
<td style="text-align:left;"> -34.6118 </td>
<td style="text-align:left;"> Upper middle income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> ARM </td>
<td style="text-align:left;"> AM </td>
<td style="text-align:left;"> Armenia </td>
<td style="text-align:left;"> Europe &amp; Central Asia </td>
<td style="text-align:left;"> Yerevan </td>
<td style="text-align:left;"> 44.509 </td>
<td style="text-align:left;"> 40.1596 </td>
<td style="text-align:left;"> Upper middle income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> ASM </td>
<td style="text-align:left;"> AS </td>
<td style="text-align:left;"> American Samoa </td>
<td style="text-align:left;"> East Asia &amp; Pacific </td>
<td style="text-align:left;"> Pago Pago </td>
<td style="text-align:left;"> -170.691 </td>
<td style="text-align:left;"> -14.2846 </td>
<td style="text-align:left;"> Upper middle income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> ATG </td>
<td style="text-align:left;"> AG </td>
<td style="text-align:left;"> Antigua and Barbuda </td>
<td style="text-align:left;"> Latin America &amp; Caribbean </td>
<td style="text-align:left;"> Saint John's </td>
<td style="text-align:left;"> -61.8456 </td>
<td style="text-align:left;"> 17.1175 </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> AUS </td>
<td style="text-align:left;"> AU </td>
<td style="text-align:left;"> Australia </td>
<td style="text-align:left;"> East Asia &amp; Pacific </td>
<td style="text-align:left;"> Canberra </td>
<td style="text-align:left;"> 149.129 </td>
<td style="text-align:left;"> -35.282 </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> AUT </td>
<td style="text-align:left;"> AT </td>
<td style="text-align:left;"> Austria </td>
<td style="text-align:left;"> Europe &amp; Central Asia </td>
<td style="text-align:left;"> Vienna </td>
<td style="text-align:left;"> 16.3798 </td>
<td style="text-align:left;"> 48.2201 </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> AZE </td>
<td style="text-align:left;"> AZ </td>
<td style="text-align:left;"> Azerbaijan </td>
<td style="text-align:left;"> Europe &amp; Central Asia </td>
<td style="text-align:left;"> Baku </td>
<td style="text-align:left;"> 49.8932 </td>
<td style="text-align:left;"> 40.3834 </td>
<td style="text-align:left;"> Upper middle income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> BDI </td>
<td style="text-align:left;"> BI </td>
<td style="text-align:left;"> Burundi </td>
<td style="text-align:left;"> Sub-Saharan Africa </td>
<td style="text-align:left;"> Bujumbura </td>
<td style="text-align:left;"> 29.3639 </td>
<td style="text-align:left;"> -3.3784 </td>
<td style="text-align:left;"> Low income </td>
<td style="text-align:left;"> IDA </td>
</tr>
<tr>
<td style="text-align:left;"> BEA </td>
<td style="text-align:left;"> B4 </td>
<td style="text-align:left;"> East Asia &amp; Pacific (IBRD-only countries) </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> BEC </td>
<td style="text-align:left;"> B7 </td>
<td style="text-align:left;"> Europe &amp; Central Asia (IBRD-only countries) </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> BEL </td>
<td style="text-align:left;"> BE </td>
<td style="text-align:left;"> Belgium </td>
<td style="text-align:left;"> Europe &amp; Central Asia </td>
<td style="text-align:left;"> Brussels </td>
<td style="text-align:left;"> 4.36761 </td>
<td style="text-align:left;"> 50.8371 </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> BEN </td>
<td style="text-align:left;"> BJ </td>
<td style="text-align:left;"> Benin </td>
<td style="text-align:left;"> Sub-Saharan Africa </td>
<td style="text-align:left;"> Porto-Novo </td>
<td style="text-align:left;"> 2.6323 </td>
<td style="text-align:left;"> 6.4779 </td>
<td style="text-align:left;"> Low income </td>
<td style="text-align:left;"> IDA </td>
</tr>
<tr>
<td style="text-align:left;"> BFA </td>
<td style="text-align:left;"> BF </td>
<td style="text-align:left;"> Burkina Faso </td>
<td style="text-align:left;"> Sub-Saharan Africa </td>
<td style="text-align:left;"> Ouagadougou </td>
<td style="text-align:left;"> -1.53395 </td>
<td style="text-align:left;"> 12.3605 </td>
<td style="text-align:left;"> Low income </td>
<td style="text-align:left;"> IDA </td>
</tr>
<tr>
<td style="text-align:left;"> BGD </td>
<td style="text-align:left;"> BD </td>
<td style="text-align:left;"> Bangladesh </td>
<td style="text-align:left;"> South Asia </td>
<td style="text-align:left;"> Dhaka </td>
<td style="text-align:left;"> 90.4113 </td>
<td style="text-align:left;"> 23.7055 </td>
<td style="text-align:left;"> Lower middle income </td>
<td style="text-align:left;"> IDA </td>
</tr>
<tr>
<td style="text-align:left;"> BGR </td>
<td style="text-align:left;"> BG </td>
<td style="text-align:left;"> Bulgaria </td>
<td style="text-align:left;"> Europe &amp; Central Asia </td>
<td style="text-align:left;"> Sofia </td>
<td style="text-align:left;"> 23.3238 </td>
<td style="text-align:left;"> 42.7105 </td>
<td style="text-align:left;"> Upper middle income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> BHI </td>
<td style="text-align:left;"> B1 </td>
<td style="text-align:left;"> IBRD countries classified as high income </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> BHR </td>
<td style="text-align:left;"> BH </td>
<td style="text-align:left;"> Bahrain </td>
<td style="text-align:left;"> Middle East &amp; North Africa </td>
<td style="text-align:left;"> Manama </td>
<td style="text-align:left;"> 50.5354 </td>
<td style="text-align:left;"> 26.1921 </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> BHS </td>
<td style="text-align:left;"> BS </td>
<td style="text-align:left;"> Bahamas, The </td>
<td style="text-align:left;"> Latin America &amp; Caribbean </td>
<td style="text-align:left;"> Nassau </td>
<td style="text-align:left;"> -77.339 </td>
<td style="text-align:left;"> 25.0661 </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> BIH </td>
<td style="text-align:left;"> BA </td>
<td style="text-align:left;"> Bosnia and Herzegovina </td>
<td style="text-align:left;"> Europe &amp; Central Asia </td>
<td style="text-align:left;"> Sarajevo </td>
<td style="text-align:left;"> 18.4214 </td>
<td style="text-align:left;"> 43.8607 </td>
<td style="text-align:left;"> Upper middle income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> BLA </td>
<td style="text-align:left;"> B2 </td>
<td style="text-align:left;"> Latin America &amp; the Caribbean (IBRD-only countries) </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> BLR </td>
<td style="text-align:left;"> BY </td>
<td style="text-align:left;"> Belarus </td>
<td style="text-align:left;"> Europe &amp; Central Asia </td>
<td style="text-align:left;"> Minsk </td>
<td style="text-align:left;"> 27.5766 </td>
<td style="text-align:left;"> 53.9678 </td>
<td style="text-align:left;"> Upper middle income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> BLZ </td>
<td style="text-align:left;"> BZ </td>
<td style="text-align:left;"> Belize </td>
<td style="text-align:left;"> Latin America &amp; Caribbean </td>
<td style="text-align:left;"> Belmopan </td>
<td style="text-align:left;"> -88.7713 </td>
<td style="text-align:left;"> 17.2534 </td>
<td style="text-align:left;"> Upper middle income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> BMN </td>
<td style="text-align:left;"> B3 </td>
<td style="text-align:left;"> Middle East &amp; North Africa (IBRD-only countries) </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> BMU </td>
<td style="text-align:left;"> BM </td>
<td style="text-align:left;"> Bermuda </td>
<td style="text-align:left;"> North America </td>
<td style="text-align:left;"> Hamilton </td>
<td style="text-align:left;"> -64.706 </td>
<td style="text-align:left;"> 32.3293 </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> BOL </td>
<td style="text-align:left;"> BO </td>
<td style="text-align:left;"> Bolivia </td>
<td style="text-align:left;"> Latin America &amp; Caribbean </td>
<td style="text-align:left;"> La Paz </td>
<td style="text-align:left;"> -66.1936 </td>
<td style="text-align:left;"> -13.9908 </td>
<td style="text-align:left;"> Lower middle income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> BRA </td>
<td style="text-align:left;"> BR </td>
<td style="text-align:left;"> Brazil </td>
<td style="text-align:left;"> Latin America &amp; Caribbean </td>
<td style="text-align:left;"> Brasilia </td>
<td style="text-align:left;"> -47.9292 </td>
<td style="text-align:left;"> -15.7801 </td>
<td style="text-align:left;"> Upper middle income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> BRB </td>
<td style="text-align:left;"> BB </td>
<td style="text-align:left;"> Barbados </td>
<td style="text-align:left;"> Latin America &amp; Caribbean </td>
<td style="text-align:left;"> Bridgetown </td>
<td style="text-align:left;"> -59.6105 </td>
<td style="text-align:left;"> 13.0935 </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> BRN </td>
<td style="text-align:left;"> BN </td>
<td style="text-align:left;"> Brunei Darussalam </td>
<td style="text-align:left;"> East Asia &amp; Pacific </td>
<td style="text-align:left;"> Bandar Seri Begawan </td>
<td style="text-align:left;"> 114.946 </td>
<td style="text-align:left;"> 4.94199 </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> BSS </td>
<td style="text-align:left;"> B6 </td>
<td style="text-align:left;"> Sub-Saharan Africa (IBRD-only countries) </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> BTN </td>
<td style="text-align:left;"> BT </td>
<td style="text-align:left;"> Bhutan </td>
<td style="text-align:left;"> South Asia </td>
<td style="text-align:left;"> Thimphu </td>
<td style="text-align:left;"> 89.6177 </td>
<td style="text-align:left;"> 27.5768 </td>
<td style="text-align:left;"> Lower middle income </td>
<td style="text-align:left;"> IDA </td>
</tr>
<tr>
<td style="text-align:left;"> BWA </td>
<td style="text-align:left;"> BW </td>
<td style="text-align:left;"> Botswana </td>
<td style="text-align:left;"> Sub-Saharan Africa </td>
<td style="text-align:left;"> Gaborone </td>
<td style="text-align:left;"> 25.9201 </td>
<td style="text-align:left;"> -24.6544 </td>
<td style="text-align:left;"> Upper middle income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> CAA </td>
<td style="text-align:left;"> C9 </td>
<td style="text-align:left;"> Sub-Saharan Africa (IFC classification) </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> CAF </td>
<td style="text-align:left;"> CF </td>
<td style="text-align:left;"> Central African Republic </td>
<td style="text-align:left;"> Sub-Saharan Africa </td>
<td style="text-align:left;"> Bangui </td>
<td style="text-align:left;"> 21.6407 </td>
<td style="text-align:left;"> 5.63056 </td>
<td style="text-align:left;"> Low income </td>
<td style="text-align:left;"> IDA </td>
</tr>
<tr>
<td style="text-align:left;"> CAN </td>
<td style="text-align:left;"> CA </td>
<td style="text-align:left;"> Canada </td>
<td style="text-align:left;"> North America </td>
<td style="text-align:left;"> Ottawa </td>
<td style="text-align:left;"> -75.6919 </td>
<td style="text-align:left;"> 45.4215 </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> CEA </td>
<td style="text-align:left;"> C4 </td>
<td style="text-align:left;"> East Asia and the Pacific (IFC classification) </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> CEB </td>
<td style="text-align:left;"> B8 </td>
<td style="text-align:left;"> Central Europe and the Baltics </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> CEU </td>
<td style="text-align:left;"> C5 </td>
<td style="text-align:left;"> Europe and Central Asia (IFC classification) </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> CHE </td>
<td style="text-align:left;"> CH </td>
<td style="text-align:left;"> Switzerland </td>
<td style="text-align:left;"> Europe &amp; Central Asia </td>
<td style="text-align:left;"> Bern </td>
<td style="text-align:left;"> 7.44821 </td>
<td style="text-align:left;"> 46.948 </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> CHI </td>
<td style="text-align:left;"> JG </td>
<td style="text-align:left;"> Channel Islands </td>
<td style="text-align:left;"> Europe &amp; Central Asia </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> CHL </td>
<td style="text-align:left;"> CL </td>
<td style="text-align:left;"> Chile </td>
<td style="text-align:left;"> Latin America &amp; Caribbean </td>
<td style="text-align:left;"> Santiago </td>
<td style="text-align:left;"> -70.6475 </td>
<td style="text-align:left;"> -33.475 </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> CHN </td>
<td style="text-align:left;"> CN </td>
<td style="text-align:left;"> China </td>
<td style="text-align:left;"> East Asia &amp; Pacific </td>
<td style="text-align:left;"> Beijing </td>
<td style="text-align:left;"> 116.286 </td>
<td style="text-align:left;"> 40.0495 </td>
<td style="text-align:left;"> Upper middle income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> CIV </td>
<td style="text-align:left;"> CI </td>
<td style="text-align:left;"> Cote d'Ivoire </td>
<td style="text-align:left;"> Sub-Saharan Africa </td>
<td style="text-align:left;"> Yamoussoukro </td>
<td style="text-align:left;"> -4.0305 </td>
<td style="text-align:left;"> 5.332 </td>
<td style="text-align:left;"> Lower middle income </td>
<td style="text-align:left;"> IDA </td>
</tr>
<tr>
<td style="text-align:left;"> CLA </td>
<td style="text-align:left;"> C6 </td>
<td style="text-align:left;"> Latin America and the Caribbean (IFC classification) </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> CME </td>
<td style="text-align:left;"> C7 </td>
<td style="text-align:left;"> Middle East and North Africa (IFC classification) </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> CMR </td>
<td style="text-align:left;"> CM </td>
<td style="text-align:left;"> Cameroon </td>
<td style="text-align:left;"> Sub-Saharan Africa </td>
<td style="text-align:left;"> Yaounde </td>
<td style="text-align:left;"> 11.5174 </td>
<td style="text-align:left;"> 3.8721 </td>
<td style="text-align:left;"> Lower middle income </td>
<td style="text-align:left;"> Blend </td>
</tr>
<tr>
<td style="text-align:left;"> COD </td>
<td style="text-align:left;"> CD </td>
<td style="text-align:left;"> Congo, Dem. Rep. </td>
<td style="text-align:left;"> Sub-Saharan Africa </td>
<td style="text-align:left;"> Kinshasa </td>
<td style="text-align:left;"> 15.3222 </td>
<td style="text-align:left;"> -4.325 </td>
<td style="text-align:left;"> Low income </td>
<td style="text-align:left;"> IDA </td>
</tr>
<tr>
<td style="text-align:left;"> COG </td>
<td style="text-align:left;"> CG </td>
<td style="text-align:left;"> Congo, Rep. </td>
<td style="text-align:left;"> Sub-Saharan Africa </td>
<td style="text-align:left;"> Brazzaville </td>
<td style="text-align:left;"> 15.2662 </td>
<td style="text-align:left;"> -4.2767 </td>
<td style="text-align:left;"> Lower middle income </td>
<td style="text-align:left;"> Blend </td>
</tr>
<tr>
<td style="text-align:left;"> COL </td>
<td style="text-align:left;"> CO </td>
<td style="text-align:left;"> Colombia </td>
<td style="text-align:left;"> Latin America &amp; Caribbean </td>
<td style="text-align:left;"> Bogota </td>
<td style="text-align:left;"> -74.082 </td>
<td style="text-align:left;"> 4.60987 </td>
<td style="text-align:left;"> Upper middle income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> COM </td>
<td style="text-align:left;"> KM </td>
<td style="text-align:left;"> Comoros </td>
<td style="text-align:left;"> Sub-Saharan Africa </td>
<td style="text-align:left;"> Moroni </td>
<td style="text-align:left;"> 43.2418 </td>
<td style="text-align:left;"> -11.6986 </td>
<td style="text-align:left;"> Lower middle income </td>
<td style="text-align:left;"> IDA </td>
</tr>
<tr>
<td style="text-align:left;"> CPV </td>
<td style="text-align:left;"> CV </td>
<td style="text-align:left;"> Cabo Verde </td>
<td style="text-align:left;"> Sub-Saharan Africa </td>
<td style="text-align:left;"> Praia </td>
<td style="text-align:left;"> -23.5087 </td>
<td style="text-align:left;"> 14.9218 </td>
<td style="text-align:left;"> Lower middle income </td>
<td style="text-align:left;"> Blend </td>
</tr>
<tr>
<td style="text-align:left;"> CRI </td>
<td style="text-align:left;"> CR </td>
<td style="text-align:left;"> Costa Rica </td>
<td style="text-align:left;"> Latin America &amp; Caribbean </td>
<td style="text-align:left;"> San Jose </td>
<td style="text-align:left;"> -84.0089 </td>
<td style="text-align:left;"> 9.63701 </td>
<td style="text-align:left;"> Upper middle income </td>
<td style="text-align:left;"> IBRD </td>
</tr>
<tr>
<td style="text-align:left;"> CSA </td>
<td style="text-align:left;"> C8 </td>
<td style="text-align:left;"> South Asia (IFC classification) </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> CSS </td>
<td style="text-align:left;"> S3 </td>
<td style="text-align:left;"> Caribbean small states </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> Aggregates </td>
<td style="text-align:left;"> Aggregates </td>
</tr>
<tr>
<td style="text-align:left;"> CUB </td>
<td style="text-align:left;"> CU </td>
<td style="text-align:left;"> Cuba </td>
<td style="text-align:left;"> Latin America &amp; Caribbean </td>
<td style="text-align:left;"> Havana </td>
<td style="text-align:left;"> -82.3667 </td>
<td style="text-align:left;"> 23.1333 </td>
<td style="text-align:left;"> Upper middle income </td>
<td style="text-align:left;"> Not classified </td>
</tr>
<tr>
<td style="text-align:left;"> CUW </td>
<td style="text-align:left;"> CW </td>
<td style="text-align:left;"> Curacao </td>
<td style="text-align:left;"> Latin America &amp; Caribbean </td>
<td style="text-align:left;"> Willemstad </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> </td>
<td style="text-align:left;"> High income </td>
<td style="text-align:left;"> Not classified </td>
</tr>