Returns HICP inflation data for one or more euro area countries or country
groups. The default is the euro area aggregate ("U2").
Usage
ecb_hicp(
country = "U2",
measure = c("annual_rate", "index", "monthly_rate"),
from = NULL,
to = NULL,
cache = TRUE
)Arguments
- country
Character vector of country codes. Use
"U2"for the euro area aggregate, or ISO 2-letter codes such as"DE"(Germany),"FR"(France),"IT"(Italy),"ES"(Spain).- measure
One of:
"annual_rate"(default) – year-on-year percentage change"index"– index level (2015 = 100)"monthly_rate"– month-on-month percentage change
- from
Optional start date.
- to
Optional end date.
- cache
Logical. Use cached data if available (default
TRUE).
Value
A data frame with columns:
- date
Date.
- country
Character. Country or area code.
- value
Numeric. Inflation rate or index level.
Examples
# \donttest{
op <- options(readecb.cache_dir = tempdir())
try({
ecb_hicp(from = "2020-01")
ecb_hicp(c("DE", "FR", "IT"), from = "2023-01")
})
#> ℹ Fetching HICP data
#> ✔ Fetching HICP data [160ms]
#>
#> ℹ Fetching HICP data
#> ✔ Fetching HICP data [156ms]
#>
#> date country value
#> 1 2023-01-01 DE 9.2
#> 2 2023-02-01 DE 9.3
#> 3 2023-03-01 DE 7.8
#> 4 2023-04-01 DE 7.6
#> 5 2023-05-01 DE 6.3
#> 6 2023-06-01 DE 6.8
#> 7 2023-07-01 DE 6.5
#> 8 2023-08-01 DE 6.4
#> 9 2023-09-01 DE 4.3
#> 10 2023-10-01 DE 3.0
#> 11 2023-11-01 DE 2.3
#> 12 2023-12-01 DE 3.8
#> 13 2024-01-01 DE 3.1
#> 14 2024-02-01 DE 2.7
#> 15 2024-03-01 DE 2.3
#> 16 2024-04-01 DE 2.4
#> 17 2024-05-01 DE 2.8
#> 18 2024-06-01 DE 2.5
#> 19 2024-07-01 DE 2.6
#> 20 2024-08-01 DE 2.0
#> 21 2024-09-01 DE 1.8
#> 22 2024-10-01 DE 2.4
#> 23 2024-11-01 DE 2.4
#> 24 2024-12-01 DE 2.8
#> 25 2025-01-01 DE 2.8
#> 26 2025-02-01 DE 2.6
#> 27 2025-03-01 DE 2.3
#> 28 2025-04-01 DE 2.2
#> 29 2025-05-01 DE 2.1
#> 30 2025-06-01 DE 2.0
#> 31 2025-07-01 DE 1.8
#> 32 2025-08-01 DE 2.1
#> 33 2025-09-01 DE 2.4
#> 34 2025-10-01 DE 2.3
#> 35 2025-11-01 DE 2.6
#> 36 2025-12-01 DE 2.0
#> 37 2023-01-01 FR 7.0
#> 38 2023-02-01 FR 7.3
#> 39 2023-03-01 FR 6.7
#> 40 2023-04-01 FR 6.9
#> 41 2023-05-01 FR 6.0
#> 42 2023-06-01 FR 5.3
#> 43 2023-07-01 FR 5.1
#> 44 2023-08-01 FR 5.7
#> 45 2023-09-01 FR 5.7
#> 46 2023-10-01 FR 4.5
#> 47 2023-11-01 FR 3.9
#> 48 2023-12-01 FR 4.1
#> 49 2024-01-01 FR 3.4
#> 50 2024-02-01 FR 3.2
#> 51 2024-03-01 FR 2.4
#> 52 2024-04-01 FR 2.4
#> 53 2024-05-01 FR 2.6
#> 54 2024-06-01 FR 2.5
#> 55 2024-07-01 FR 2.7
#> 56 2024-08-01 FR 2.2
#> 57 2024-09-01 FR 1.4
#> 58 2024-10-01 FR 1.6
#> 59 2024-11-01 FR 1.7
#> 60 2024-12-01 FR 1.8
#> 61 2025-01-01 FR 1.8
#> 62 2025-02-01 FR 0.9
#> 63 2025-03-01 FR 0.9
#> 64 2025-04-01 FR 0.9
#> 65 2025-05-01 FR 0.6
#> 66 2025-06-01 FR 0.9
#> 67 2025-07-01 FR 0.9
#> 68 2025-08-01 FR 0.8
#> 69 2025-09-01 FR 1.1
#> 70 2025-10-01 FR 0.8
#> 71 2025-11-01 FR 0.8
#> 72 2025-12-01 FR 0.7
#> 73 2023-01-01 IT 10.7
#> 74 2023-02-01 IT 9.8
#> 75 2023-03-01 IT 8.1
#> 76 2023-04-01 IT 8.6
#> 77 2023-05-01 IT 8.0
#> 78 2023-06-01 IT 6.7
#> 79 2023-07-01 IT 6.3
#> 80 2023-08-01 IT 5.5
#> 81 2023-09-01 IT 5.6
#> 82 2023-10-01 IT 1.8
#> 83 2023-11-01 IT 0.6
#> 84 2023-12-01 IT 0.5
#> 85 2024-01-01 IT 0.9
#> 86 2024-02-01 IT 0.8
#> 87 2024-03-01 IT 1.2
#> 88 2024-04-01 IT 0.9
#> 89 2024-05-01 IT 0.8
#> 90 2024-06-01 IT 0.9
#> 91 2024-07-01 IT 1.6
#> 92 2024-08-01 IT 1.2
#> 93 2024-09-01 IT 0.7
#> 94 2024-10-01 IT 1.0
#> 95 2024-11-01 IT 1.5
#> 96 2024-12-01 IT 1.4
#> 97 2025-01-01 IT 1.7
#> 98 2025-02-01 IT 1.7
#> 99 2025-03-01 IT 2.1
#> 100 2025-04-01 IT 2.0
#> 101 2025-05-01 IT 1.7
#> 102 2025-06-01 IT 1.8
#> 103 2025-07-01 IT 1.7
#> 104 2025-08-01 IT 1.6
#> 105 2025-09-01 IT 1.8
#> 106 2025-10-01 IT 1.3
#> 107 2025-11-01 IT 1.1
#> 108 2025-12-01 IT 1.2
options(op)
# }