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Downloads public sector net borrowing (excluding public sector banks) from the ONS. Available from 1993.

Usage

ons_public_finances(from = NULL, to = NULL, cache = TRUE)

Arguments

from

Date or character (YYYY-MM-DD). Start date. Defaults to NULL (all available data).

to

Date or character (YYYY-MM-DD). End date. Defaults to NULL.

cache

Logical. Use cached data if available (default TRUE).

Value

A data frame with columns:

date

Date. First day of the month.

value

Numeric. Public sector net borrowing (GBP millions).

Examples

# \donttest{
op <- options(ons.cache_dir = tempdir())
try(ons_public_finances(from = "2020-01-01"))
#>  Fetching public sector net borrowing
#>  Fetching public sector net borrowing [243ms]
#> 
#>          date  value
#> 1  2020-01-01  -8196
#> 2  2020-02-01   1934
#> 3  2020-03-01   6848
#> 4  2020-04-01  49006
#> 5  2020-05-01  51126
#> 6  2020-06-01  32165
#> 7  2020-07-01  21844
#> 8  2020-08-01  24021
#> 9  2020-09-01  27983
#> 10 2020-10-01  17914
#> 11 2020-11-01  21416
#> 12 2020-12-01  23930
#> 13 2021-01-01   1251
#> 14 2021-02-01  15477
#> 15 2021-03-01  24841
#> 16 2021-04-01  23520
#> 17 2021-05-01  17129
#> 18 2021-06-01  18719
#> 19 2021-07-01   4301
#> 20 2021-08-01  13897
#> 21 2021-09-01  16779
#> 22 2021-10-01   8015
#> 23 2021-11-01   7361
#> 24 2021-12-01   9826
#> 25 2022-01-01 -11959
#> 26 2022-02-01   7095
#> 27 2022-03-01   5537
#> 28 2022-04-01  13430
#> 29 2022-05-01   8730
#> 30 2022-06-01  18867
#> 31 2022-07-01    603
#> 32 2022-08-01   7867
#> 33 2022-09-01  15351
#> 34 2022-10-01  11093
#> 35 2022-11-01  15563
#> 36 2022-12-01  15941
#> 37 2023-01-01  -8611
#> 38 2023-02-01  10937
#> 39 2023-03-01  17589
#> 40 2023-04-01  19988
#> 41 2023-05-01  15370
#> 42 2023-06-01  19082
#> 43 2023-07-01   2703
#> 44 2023-08-01  11450
#> 45 2023-09-01  15462
#> 46 2023-10-01  16469
#> 47 2023-11-01  15003
#> 48 2023-12-01   8118
#> 49 2024-01-01 -14306
#> 50 2024-02-01  11357
#> 51 2024-03-01  14283
#> 52 2024-04-01  19328
#> 53 2024-05-01  17498
#> 54 2024-06-01  14582
#> 55 2024-07-01   3890
#> 56 2024-08-01  14799
#> 57 2024-09-01  18703
#> 58 2024-10-01  19300
#> 59 2024-11-01  13455
#> 60 2024-12-01  18581
#> 61 2025-01-01 -14421
#> 62 2025-02-01  12162
#> 63 2025-03-01  13977
#> 64 2025-04-01  19662
#> 65 2025-05-01  18389
#> 66 2025-06-01  24336
#> 67 2025-07-01   1241
#> 68 2025-08-01  15165
#> 69 2025-09-01  22151
#> 70 2025-10-01  15626
#> 71 2025-11-01   9586
#> 72 2025-12-01  12671
#> 73 2026-01-01 -32225
#> 74 2026-02-01  12821
#> 75 2026-03-01  12605
options(op)
# }