Download mortgage approvals for house purchase
Source:R/boe_mortgage_approvals.R
boe_mortgage_approvals.RdDownloads the monthly count of mortgage approvals for house purchase, a widely watched leading indicator of housing market activity. Available from April 1993.
Usage
boe_mortgage_approvals(
from = "1993-04-01",
to = Sys.Date(),
seasonally_adjusted = TRUE,
cache = TRUE
)Arguments
- from
Date or character (YYYY-MM-DD). Start date. Defaults to
"1993-04-01".- to
Date or character (YYYY-MM-DD). End date. Defaults to today.
- seasonally_adjusted
Logical. Return seasonally adjusted series (default
TRUE) or non-seasonally adjusted (FALSE).- cache
Logical. Use cached data if available (default
TRUE).
Value
A data frame with columns:
- date
Date. End of month.
- approvals
Numeric. Number of mortgage approvals.
See also
Other credit and housing:
boe_consumer_credit(),
boe_mortgage_rates()
Examples
# \donttest{
op <- options(boe.cache_dir = tempdir())
boe_mortgage_approvals(from = "2015-01-01")
#> ℹ Downloading from Bank of England
#> ✔ Downloading from Bank of England [421ms]
#>
#> # BoE [boe_mortgage_approvals]: 1 series [LPMVTVX] · 139 obs · 2015-01-01 to 2026-09-19 · freq=monthly
#> date approvals
#> 1 2015-01-31 58916
#> 2 2015-02-28 61448
#> 3 2015-03-31 62814
#> 4 2015-04-30 68967
#> 5 2015-05-31 65309
#> 6 2015-06-30 68155
#> 7 2015-07-31 70809
#> 8 2015-08-31 72208
#> 9 2015-09-30 71190
#> 10 2015-10-31 70126
#> 11 2015-11-30 70498
#> 12 2015-12-31 71266
#> 13 2016-01-31 72441
#> 14 2016-02-29 71874
#> 15 2016-03-31 70694
#> 16 2016-04-30 68741
#> 17 2016-05-31 67788
#> 18 2016-06-30 65565
#> 19 2016-07-31 62698
#> 20 2016-08-31 61401
#> 21 2016-09-30 64262
#> 22 2016-10-31 67935
#> 23 2016-11-30 68422
#> 24 2016-12-31 68381
#> 25 2017-01-31 68010
#> 26 2017-02-28 68141
#> 27 2017-03-31 68005
#> 28 2017-04-30 67038
#> 29 2017-05-31 65941
#> 30 2017-06-30 65422
#> 31 2017-07-31 68581
#> 32 2017-08-31 66847
#> 33 2017-09-30 66361
#> 34 2017-10-31 65273
#> 35 2017-11-30 65655
#> 36 2017-12-31 62319
#> 37 2018-01-31 65873
#> 38 2018-02-28 63003
#> 39 2018-03-31 63046
#> 40 2018-04-30 63246
#> 41 2018-05-31 65019
#> 42 2018-06-30 65955
#> 43 2018-07-31 64845
#> 44 2018-08-31 66750
#> 45 2018-09-30 66004
#> 46 2018-10-31 68292
#> 47 2018-11-30 64986
#> 48 2018-12-31 64425
#> 49 2019-01-31 65126
#> 50 2019-02-28 64150
#> 51 2019-03-31 62146
#> 52 2019-04-30 65822
#> 53 2019-05-31 65474
#> 54 2019-06-30 66599
#> 55 2019-07-31 67313
#> 56 2019-08-31 66055
#> 57 2019-09-30 66251
#> 58 2019-10-31 66352
#> 59 2019-11-30 66669
#> 60 2019-12-31 67640
#> 61 2020-01-31 69507
#> 62 2020-02-29 71581
#> 63 2020-03-31 56172
#> 64 2020-04-30 15888
#> 65 2020-05-31 9360
#> 66 2020-06-30 40375
#> 67 2020-07-31 66660
#> 68 2020-08-31 85230
#> 69 2020-09-30 92657
#> 70 2020-10-31 100892
#> 71 2020-11-30 107801
#> 72 2020-12-31 103399
#> 73 2021-01-31 97181
#> 74 2021-02-28 84411
#> 75 2021-03-31 80907
#> 76 2021-04-30 85102
#> 77 2021-05-31 86023
#> 78 2021-06-30 79325
#> 79 2021-07-31 72563
#> 80 2021-08-31 71056
#> 81 2021-09-30 70574
#> 82 2021-10-31 68335
#> 83 2021-11-30 69467
#> 84 2021-12-31 72795
#> 85 2022-01-31 73949
#> 86 2022-02-28 68151
#> 87 2022-03-31 68641
#> 88 2022-04-30 65749
#> 89 2022-05-31 66363
#> 90 2022-06-30 62949
#> 91 2022-07-31 62829
#> 92 2022-08-31 72198
#> 93 2022-09-30 64911
#> 94 2022-10-31 57801
#> 95 2022-11-30 46719
#> 96 2022-12-31 41509
#> 97 2023-01-31 39798
#> 98 2023-02-28 42811
#> 99 2023-03-31 50893
#> 100 2023-04-30 48637
#> 101 2023-05-31 50905
#> 102 2023-06-30 54705
#> 103 2023-07-31 49374
#> 104 2023-08-31 45321
#> 105 2023-09-30 44027
#> 106 2023-10-31 48082
#> 107 2023-11-30 50287
#> 108 2023-12-31 52530
#> 109 2024-01-31 56032
#> 110 2024-02-29 59676
#> 111 2024-03-31 61146
#> 112 2024-04-30 61208
#> 113 2024-05-31 60800
#> 114 2024-06-30 61254
#> 115 2024-07-31 62854
#> 116 2024-08-31 65361
#> 117 2024-09-30 65596
#> 118 2024-10-31 67846
#> 119 2024-11-30 65907
#> 120 2024-12-31 66942
#> 121 2025-01-31 66270
#> 122 2025-02-28 64611
#> 123 2025-03-31 63461
#> 124 2025-04-30 59736
#> 125 2025-05-31 62618
#> 126 2025-06-30 64721
#> 127 2025-07-31 65905
#> 128 2025-08-31 65278
#> 129 2025-09-30 66053
#> 130 2025-10-31 64762
#> 131 2025-11-30 64592
#> 132 2025-12-31 61395
#> 133 2026-01-31 60145
#> 134 2026-02-28 62278
#> 135 2026-03-31 62920
#> 136 2026-04-30 65044
#> 137 2026-05-31 56396
#> 138 2026-06-30 58215
#> 139 2026-07-31 56053
options(op)
# }