Download World Bank indicator data for specific geographies and time periods
Source:R/wdi_get.R
wdi_get.RdThis function retrieves indicator data from the World Bank API for a specified set of geographies and indicators. The user can specify one or more indicators, a date range, and other options to tailor the request. The data is processed and returned in a tidy format, including country, indicator, date, and value fields.
Usage
wdi_get(
geographies,
indicators,
start_year = NULL,
end_year = NULL,
frequency = "annual",
language = "en",
per_page = 10000L,
progress = TRUE,
source = NULL,
format = "long"
)Arguments
- geographies
A character vector of ISO 2 or ISO 3-country codes, or
"all"to retrieve data for all geographies.- indicators
A character vector specifying one or more World Bank indicators to download (e.g., c("NY.GDP.PCAP.KD", "SP.POP.TOTL")).
- start_year
Optional integer. The starting date for the data as a year.
- end_year
Optional integer. The ending date for the data as a year.
- frequency
A character string specifying the frequency of the data ("annual", "quarter", "month"). Defaults to "annual".
- language
A character string specifying the language for the request, see wdi_get_languages. Defaults to
"en".- per_page
An integer specifying the number of results per page for the API. Defaults to 10,000.
- progress
A logical value indicating whether to show progress messages during the data download and parsing. Defaults to
TRUE.- source
An integer value specifying the data source, see wdi_get_sources.
- format
A character value specifying whether the data is returned in
"long"or"wide"format. Defaults to"long".
Value
A tibble with the following columns:
- geography_id
The ISO 3-country code of the country or region for which the data was retrieved.
- indicator_id
The ID of the indicator (e.g., "NY.GDP.PCAP.KD").
- year
The year of the indicator data as an integer.
- quarter
Optional. The quarter of the indicator data as integer.
- month
Optional. The month of the indicator data as integer.
- value
The value of the indicator for the given country and date.
Details
This function constructs a request URL for the World Bank API,
retrieves the relevant data for the given geographies and indicators, and
processes the response into a tidy format. The user can optionally specify a
date range, and the function will handle requests for multiple pages if
necessary. If the progress parameter is TRUE, messages will be displayed
during the request and parsing process.
The function supports downloading multiple indicators by sending individual API requests for each indicator and then combining the results into a single tidy data frame.
Examples
# Download single indicator for multiple geographies
wdi_get(c("USA", "CAN", "GBR"), "NY.GDP.PCAP.KD")
#> # A tibble: 192 × 4
#> geography_id indicator_id year value
#> <chr> <chr> <int> <dbl>
#> 1 CAN NY.GDP.PCAP.KD 1960 15432.
#> 2 GBR NY.GDP.PCAP.KD 1960 15136.
#> 3 USA NY.GDP.PCAP.KD 1960 18992.
#> 4 CAN NY.GDP.PCAP.KD 1961 15606.
#> 5 GBR NY.GDP.PCAP.KD 1961 15427.
#> 6 USA NY.GDP.PCAP.KD 1961 19109.
#> 7 CAN NY.GDP.PCAP.KD 1962 16456.
#> 8 GBR NY.GDP.PCAP.KD 1962 15465.
#> 9 USA NY.GDP.PCAP.KD 1962 19965.
#> 10 CAN NY.GDP.PCAP.KD 1963 17008.
#> # ℹ 182 more rows
# Download single indicator for a specific time frame
wdi_get(c("USA", "CAN", "GBR"), "DPANUSSPB",
start_year = 2012, end_year = 2013)
#> # A tibble: 6 × 4
#> geography_id indicator_id year value
#> <chr> <chr> <int> <dbl>
#> 1 CAN DPANUSSPB 2012 1.00
#> 2 GBR DPANUSSPB 2012 0.631
#> 3 USA DPANUSSPB 2012 1
#> 4 CAN DPANUSSPB 2013 1.03
#> 5 GBR DPANUSSPB 2013 0.640
#> 6 USA DPANUSSPB 2013 1
# Download single indicator for monthly frequency
wdi_get("AUT", "DPANUSSPB",
start_year = 2012, end_year = 2015, frequency = "month")
#> # A tibble: 48 × 5
#> geography_id indicator_id year month value
#> <chr> <chr> <int> <int> <dbl>
#> 1 AUT DPANUSSPB 2012 1 0.775
#> 2 AUT DPANUSSPB 2012 2 0.755
#> 3 AUT DPANUSSPB 2012 3 0.757
#> 4 AUT DPANUSSPB 2012 4 0.760
#> 5 AUT DPANUSSPB 2012 5 0.782
#> 6 AUT DPANUSSPB 2012 6 0.797
#> 7 AUT DPANUSSPB 2012 7 0.814
#> 8 AUT DPANUSSPB 2012 8 0.806
#> 9 AUT DPANUSSPB 2012 9 0.777
#> 10 AUT DPANUSSPB 2012 10 0.771
#> # ℹ 38 more rows
# Download single indicator for quarterly frequency
wdi_get("NGA", "DT.DOD.DECT.CD.TL.US",
start_year = 2012, end_year = 2015, frequency = "quarter")
#> # A tibble: 16 × 5
#> geography_id indicator_id year quarter value
#> <chr> <chr> <int> <int> <dbl>
#> 1 NGA DT.DOD.DECT.CD.TL.US 2012 1 8235000000
#> 2 NGA DT.DOD.DECT.CD.TL.US 2012 2 8374010000
#> 3 NGA DT.DOD.DECT.CD.TL.US 2012 3 8587040000
#> 4 NGA DT.DOD.DECT.CD.TL.US 2012 4 8883380000
#> 5 NGA DT.DOD.DECT.CD.TL.US 2013 1 9195080000
#> 6 NGA DT.DOD.DECT.CD.TL.US 2013 2 9477070000
#> 7 NGA DT.DOD.DECT.CD.TL.US 2013 3 10817130000
#> 8 NGA DT.DOD.DECT.CD.TL.US 2013 4 11402000000
#> 9 NGA DT.DOD.DECT.CD.TL.US 2014 1 11746100000
#> 10 NGA DT.DOD.DECT.CD.TL.US 2014 2 11957200000
#> 11 NGA DT.DOD.DECT.CD.TL.US 2014 3 12002828000
#> 12 NGA DT.DOD.DECT.CD.TL.US 2014 4 12138750000
#> 13 NGA DT.DOD.DECT.CD.TL.US 2015 1 11781991990.
#> 14 NGA DT.DOD.DECT.CD.TL.US 2015 2 12667757149.
#> 15 NGA DT.DOD.DECT.CD.TL.US 2015 3 12966561500
#> 16 NGA DT.DOD.DECT.CD.TL.US 2015 4 13040050000
# \donttest{
# Download single indicator for all geographies and disable progress bar
wdi_get("all", "NY.GDP.PCAP.KD", progress = FALSE)
#> # A tibble: 17,024 × 4
#> geography_id indicator_id year value
#> <chr> <chr> <int> <dbl>
#> 1 AFE NY.GDP.PCAP.KD 1960 1172.
#> 2 AFW NY.GDP.PCAP.KD 1960 1111.
#> 3 ARB NY.GDP.PCAP.KD 1960 NA
#> 4 CSS NY.GDP.PCAP.KD 1960 4422.
#> 5 CEB NY.GDP.PCAP.KD 1960 NA
#> 6 EAR NY.GDP.PCAP.KD 1960 1062.
#> 7 EAS NY.GDP.PCAP.KD 1960 1144.
#> 8 EAP NY.GDP.PCAP.KD 1960 323.
#> 9 TEA NY.GDP.PCAP.KD 1960 327.
#> 10 EMU NY.GDP.PCAP.KD 1960 9943.
#> # ℹ 17,014 more rows
# Download multiple indicators for multiple geographies
wdi_get(c("USA", "CAN", "GBR"), c("NY.GDP.PCAP.KD", "SP.POP.TOTL"))
#> # A tibble: 384 × 4
#> geography_id indicator_id year value
#> <chr> <chr> <int> <dbl>
#> 1 CAN NY.GDP.PCAP.KD 1960 15432.
#> 2 GBR NY.GDP.PCAP.KD 1960 15136.
#> 3 USA NY.GDP.PCAP.KD 1960 18992.
#> 4 CAN NY.GDP.PCAP.KD 1961 15606.
#> 5 GBR NY.GDP.PCAP.KD 1961 15427.
#> 6 USA NY.GDP.PCAP.KD 1961 19109.
#> 7 CAN NY.GDP.PCAP.KD 1962 16456.
#> 8 GBR NY.GDP.PCAP.KD 1962 15465.
#> 9 USA NY.GDP.PCAP.KD 1962 19965.
#> 10 CAN NY.GDP.PCAP.KD 1963 17008.
#> # ℹ 374 more rows
# }
# Download indicators for different sources
wdi_get("DEU", "SG.LAW.INDX", source = 2)
#> # A tibble: 64 × 4
#> geography_id indicator_id year value
#> <chr> <chr> <int> <dbl>
#> 1 DEU SG.LAW.INDX 1960 NA
#> 2 DEU SG.LAW.INDX 1961 NA
#> 3 DEU SG.LAW.INDX 1962 NA
#> 4 DEU SG.LAW.INDX 1963 NA
#> 5 DEU SG.LAW.INDX 1964 NA
#> 6 DEU SG.LAW.INDX 1965 NA
#> 7 DEU SG.LAW.INDX 1966 NA
#> 8 DEU SG.LAW.INDX 1967 NA
#> 9 DEU SG.LAW.INDX 1968 NA
#> 10 DEU SG.LAW.INDX 1969 NA
#> # ℹ 54 more rows
wdi_get("DEU", "SG.LAW.INDX", source = 14)
#> # A tibble: 64 × 4
#> geography_id indicator_id year value
#> <chr> <chr> <int> <dbl>
#> 1 DEU SG.LAW.INDX 1960 NA
#> 2 DEU SG.LAW.INDX 1961 NA
#> 3 DEU SG.LAW.INDX 1962 NA
#> 4 DEU SG.LAW.INDX 1963 NA
#> 5 DEU SG.LAW.INDX 1964 NA
#> 6 DEU SG.LAW.INDX 1965 NA
#> 7 DEU SG.LAW.INDX 1966 NA
#> 8 DEU SG.LAW.INDX 1967 NA
#> 9 DEU SG.LAW.INDX 1968 NA
#> 10 DEU SG.LAW.INDX 1969 NA
#> # ℹ 54 more rows
# Download indicators in wide format
wdi_get(c("USA", "CAN", "GBR"), c("NY.GDP.PCAP.KD"),
format = "wide")
#> # A tibble: 192 × 3
#> geography_id year NY.GDP.PCAP.KD
#> <chr> <int> <dbl>
#> 1 CAN 1960 15432.
#> 2 GBR 1960 15136.
#> 3 USA 1960 18992.
#> 4 CAN 1961 15606.
#> 5 GBR 1961 15427.
#> 6 USA 1961 19109.
#> 7 CAN 1962 16456.
#> 8 GBR 1962 15465.
#> 9 USA 1962 19965.
#> 10 CAN 1963 17008.
#> # ℹ 182 more rows
wdi_get(c("USA", "CAN", "GBR"), c("NY.GDP.PCAP.KD", "SP.POP.TOTL"),
format = "wide")
#> # A tibble: 192 × 4
#> geography_id year NY.GDP.PCAP.KD SP.POP.TOTL
#> <chr> <int> <dbl> <dbl>
#> 1 CAN 1960 15432. 17909356
#> 2 GBR 1960 15136. 52400000
#> 3 USA 1960 18992. 180671000
#> 4 CAN 1961 15606. 18271000
#> 5 GBR 1961 15427. 52800000
#> 6 USA 1961 19109. 183691000
#> 7 CAN 1962 16456. 18614000
#> 8 GBR 1962 15465. 53250000
#> 9 USA 1962 19965. 186538000
#> 10 CAN 1963 17008. 18964000
#> # ℹ 182 more rows