Provides functions to access data from public RESTful APIs including 'Nager.Date', 'World Bank API', and 'REST Countries API', retrieving real-time or historical data related to Indonesia, such as holidays, economic indicators, and international demographic and geopolitical indicators. The package also includes a curated collection of open datasets focused on Indonesia, covering topics such as consumer prices, poverty probability, food prices by region, tourism destinations, and minimum wage statistics. The package supports reproducible research and teaching by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'Nager.Date' < https://date.nager.at/Api>, 'World Bank API' < https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and 'REST Countries API' < https://restcountries.com/>.
The IndonesiAPIs package provides a unified interface to access open data from the World Bank API, Nager.Date API, and the REST Countries API, with a focus on Indonesia. It allows users to retrieve up-to-date or historical information on topics such as economic indicators, population statistics, national holidays, and basic geopolitical details.
In addition to API-access functions, the package includes a curated collection of open datasets related to Indonesia. These datasets cover a wide range of topics including consumer prices, poverty probability, food prices by region, tourism destinations, and minimum wage statistics.
You can install the IndonesiAPIs package from CRAN with the following R function:
install.packages("IndonesiAPIs")
After installation, load the package and start exploring and using its functions and datasets.
library(IndonesiAPIs)
Below is a list of the main functions included in the package:
get_indonesia_child_mortality(): Get Under-5 Mortality Rate in Indonesia from World Bank
get_indonesia_cpi(): Get Indonesia's Consumer Price Index from World Bank
get_indonesia_energy_use(): Get Indonesia's Energy Use (kg of oil equivalent per capita) from World Bank
get_indonesia_gdp(): Get Indonesia's GDP (Current US$) from World Bank
get_indonesia_holidays(): Get official public holidays in Indonesia for a given year, e.g. get_indonesia_holidays(2025)
get_indonesia_hospital_beds(): Get Hospital Beds per 1,000 People in Indonesia from World Bank
get_indonesia_life_expectancy(): Get Indonesia's Life Expectancy at Birth from World Bank
get_indonesia_literacy_rate(): Get Indonesia's Literacy Rate (Age 15+) from World Bank
get_indonesia_population(): Get Indonesia's Total Population from World Bank
get_indonesia_unemployment(): Get Indonesia's Unemployment Rate from World Bank
get_country_info_idn(): Get Key Country Information About Indonesia from the REST Countries API
view_datasets_IndonesiAPIs(): View Available Datasets in IndonesiAPIs
Each dataset in IndonesiAPIs is labeled with a suffix to indicate its structure and type:
_df: A standard data frame.
_tbl_df: A tibble data frame object.
In addition to API access functions, IndonesiAPIs offers a curated collection of open datasets focused on Indonesia. These preloaded datasets cover a wide range of topics including consumer prices, poverty probability, food prices by region, tourism destinations, and minimum wage statistics. Below are some featured examples:
Bali_tbl_df: A tibble containing food price data in Bali, Indonesia.
indonesia_minwage_tbl_df: A tibble containing monthly minimum wage or Upah Minimum Regional (UMR) data in Indonesian Rupiah (IDR) across various regions of Indonesia from 1997 to 2025.
DKIJakarta_tbl_df: A tibble containing food price data in DKI Jakarta, Indonesia.
# Load the package
library(IndonesiAPIs)
# Retrieves essential information about Indonesia
get_country_info_idn()
# Get Indonesia's Population (Total) from World Bank
get_indonesia_population()
# Load a dataset
data(DKIJakarta_tbl_df)
# Shows six rows of the dataset
head(DKIJakarta_tbl_df)
# Display the structure of the dataset
str(DKIJakarta_tbl_df)
# Shows the whole dataset
View(DKIJakarta_tbl_df)