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2024-07-10
# Either
install.packages('LMPdata') # once available on CRAN
# or
remotes::install_github('alekrutkowski/LMPdata')The package provides an easy access to the “Labour Market Policy” statistics database managed by the European Commission (Directorate-General for Employment, Social Affairs & Inclusion). The data can be accessed also via https://webgate.ec.europa.eu/empl/redisstat/databrowser/explore/all/lmp?lang=en&display=card&sort=category.
The package offers only two functions:
importDataimportLabelsUsage examples:
library(LMPdata)
d <- importData(lmp_dataset_code = 'lmp_expsumm',
filters = list(geo=c('AT','BE','CZ'), unit='MIO_EUR',
lmp_type='TOT1_9', exptype=c('XIND','XEMP')))
str(d)## Classes 'data.table' and 'data.frame': 134 obs. of 7 variables:
## $ geo : chr "AT" "AT" "AT" "AT" ...
## $ unit : chr "MIO_EUR" "MIO_EUR" "MIO_EUR" "MIO_EUR" ...
## $ lmp_type : chr "TOT1_9" "TOT1_9" "TOT1_9" "TOT1_9" ...
## $ exptype : chr "XEMP" "XEMP" "XEMP" "XEMP" ...
## $ time_period: int 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 ...
## $ value_ : num 334 361 363 464 601 ...
## $ flags_ : chr "" "" "" "" ...
## - attr(*, ".internal.selfref")=<externalptr>g <- importLabels(dimension_code = "geo")
l <- importLabels(dimension_code = "exptype")
str(g)## Classes 'data.table' and 'data.frame': 3707 obs. of 2 variables:
## $ geo : chr "EUR" "EU" "EU_V" "EU28" ...
## $ geo__label: chr "Europe" "European Union (EU6-1972, EU9-1980, EU10-1985, EU12-1994, EU15-2004, EU25-2006, EU27-2013, EU28)" "European Union (aggregate changing according to the context)" "European Union (28 countries)" ...
## - attr(*, ".internal.selfref")=<externalptr>str(l)## Classes 'data.table' and 'data.frame': 15 obs. of 2 variables:
## $ exptype : chr "XTOT" "XIND" "XINDPER" "XINDLUMP" ...
## $ exptype__label: chr "Total" "Transfers to individuals" "Transfers to individuals - periodic cash payments" "Transfers to individuals - lump-sum payments" ...
## - attr(*, ".internal.selfref")=<externalptr>The following datasets are available:
| lmp_dataset_code | Description |
|---|---|
| LMP_EXPSUMM | LMP expenditure by type of action – summary tables |
| LMP_EXPME | Detailed expenditure by LMP intervention |
| LMP_PARTSUMM | LMP participants by type of action – summary tables |
| LMP_PARTME | Detailed data on participants by LMP intervention |
| LMP_IND_ACTSUP | Activation-Support – LMP participants per 100 persons wanting to work |
| LMP_IND_ACTRU | Activation of registered unemployed |
| LMP_IND_ACTIME | Timely activation – share of LMP entrants not previously long-term unemployed |
| LMP_IND_EXP | LMP expenditure in convenient units (% of GDP or purchasing power standard per person wanting to work) |
| LMP_RJRU | Persons registered with Public Employment Services |
The following dimensions are available:
| dimension_code | Description |
|---|---|
| AGE | Age class |
| EXPTYPE | Type of expenditure |
| GEO | Geopolitical entity (reporting) i.e. a country |
| LMP_TYPE | Labour market policy interventions by type of action |
| flags_ | Flags for each statistical observation |
| REGIS_ES | Registration with employment services |
| SEX | Sex / gender |
| STK_FLOW | Stock or flow |
| UNIT | Unit of measure |
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.