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Primary items production

Source: R/production.R
get_primary_production.Rd

Get amount of crops, livestock and livestock products.

Usage

get_primary_production(example = FALSE)

Arguments

example

If TRUE, return a small example output without downloading remote data. Default is FALSE.

Value

A tibble with the item production data. It contains the following columns:

  • year: The year in which the recorded event occurred.

  • area_code: The code of the country where the data is from. For code details see e.g. add_area_name().

  • item_prod_code: FAOSTAT internal code for each produced item.

  • item_cbs_code: FAOSTAT internal code for each commodity balance sheet item. The commodity balance sheet contains an aggregated version of production items. This field is the code for the corresponding aggregated item.

  • live_anim_code: Commodity balance sheet code for the type of livestock that produces the livestock product. It can be:

    • NA: The entry is not a livestock product.

    • Non-NA: The code for the livestock type. The name can also be retrieved by using add_item_cbs_name().

  • unit: Measurement unit for the data. Here, keep in mind three groups of items: crops (e.g. Apples and products, Beans...), livestock (e.g. Cattle, dairy, Goats...) and livestock products (e.g. Poultry Meat, Offals, Edible...). Then the unit can be one of:

    • tonnes: Available for crops and livestock products.

    • ha: Hectares, available for crops.

    • t_ha: Tonnes per hectare, available for crops.

    • heads: Number of animals, available for livestock.

    • LU: Standard Livestock Unit measure, available for livestock.

    • t_head: tonnes per head, available for livestock products.

    • t_LU: tonnes per Livestock Unit, available for livestock products.

  • value: The amount of item produced, measured in unit.

Examples

get_primary_production(example = TRUE)
#> # A tibble: 10 × 7
#>     year area_code item_prod_code item_cbs_code live_anim_code unit        value
#>    <dbl>     <dbl>          <dbl>         <dbl>          <dbl> <chr>       <dbl>
#>  1  1969       216           1049          1049             NA heads     4.33e+6
#>  2  2018       100            265          2570             NA tonnes    1.57e+6
#>  3  1962        16            987          2746            976 t_LU      1.38e-2
#>  4  1974       101           1091          2744           1068 tonnes    3.72e+4
#>  5  1990       225            960           960             NA LU        2.39e+4
#>  6  2005         4            406          2605             NA ha        1.08e+4
#>  7  1988       137           1052          1052             NA heads     4.6 e+2
#>  8  1981       130            486          2615             NA ha        1.76e+4
#>  9  1962       171            122          2533             NA t_ha      5.15e+0
#> 10  1964       173           1037          2737           1049 t_head    1.67e-2