AMECO Dataset

Introduction

This package contains the entire European Commission Annual macro-economic (AMECO) database in a format amenable to analysis in R.

The AMECO database was last updated: 3 May 2018.

Simple example

The dataset is in a clean, long format:

library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

library(ameco)
head(ameco)

## # A tibble: 6 x 8
##   code              country  sub.chapter   title   unit  cntry  year value
##   <chr>             <chr>    <chr>         <chr>   <chr> <chr> <dbl> <dbl>
## 1 EU28.1.0.0.0.UBGS Europea… 01 Balances … Net ex… Mrd … EU28   1960 NA   
## 2 EU15.1.0.0.0.UBGS Europea… 01 Balances … Net ex… Mrd … EU15   1960 NA   
## 3 EA19.1.0.0.0.UBGS Euro ar… 01 Balances … Net ex… Mrd … EA19   1960 NA   
## 4 EA12.1.0.0.0.UBGS Euro ar… 01 Balances … Net ex… Mrd … EA12   1960 NA   
## 5 DU15.1.0.0.0.UBGS EU15 (i… 01 Balances … Net ex… Mrd … DU15   1960  1.97
## 6 DA12.1.0.0.0.UBGS EA12 (i… 01 Balances … Net ex… Mrd … DA12   1960  3.02

Filtering with the sub.chapter variable allows you to easily find the variable of interest:

ameco %>% 
  filter(sub.chapter == "01 Population") %>% 
  .$title %>% 
  unique()

## [1] "Total population (National accounts)"
## [2] "Total population"                    
## [3] "Population: 0 to 14 years"           
## [4] "Population: 15 to 64 years"          
## [5] "Population: 65 years and over"

Being interested in the total population of a few countries, we can easily subset the data and plot the results:

library(ggplot2)

ameco %>% 
  dplyr::filter(title == "Total population",
         year == 2015,
         cntry %in% c("USA", "JPN", "DEU", "FRA", "ESP", "ITA")) %>% 
  ggplot(aes(x = reorder(country, -value), y = value / 1000)) +
  geom_bar(stat = "identity") +
  theme_bw() +
  labs(x = NULL, y = "Population (millions)", title = "Total population")

Disclaimer

This package is not affiliated with, nor endorsed by, the European Commission. I aim to update it whenever the AMECO database is updated. If you ever see that it is out-of-date, don’t hesitate to send a pull request and/or remind me to update it.