loan_amount float64 | income float64 | loan_purpose int64 | action_taken int64 | derived_race string | derived_sex string | derived_ethnicity string | applicant_age string | state_code string | converted int8 |
|---|---|---|---|---|---|---|---|---|---|
755,000 | 253 | 31 | 4 | Asian | Male | Not Hispanic or Latino | 55-64 | CA | 0 |
235,000 | 59 | 1 | 1 | White | Female | Not Hispanic or Latino | 35-44 | CA | 1 |
215,000 | 73 | 31 | 4 | Race Not Available | Sex Not Available | Ethnicity Not Available | 25-34 | CA | 0 |
675,000 | 111 | 1 | 1 | Black or African American | Female | Not Hispanic or Latino | 35-44 | CA | 1 |
585,000 | 122 | 1 | 1 | White | Joint | Not Hispanic or Latino | 55-64 | CA | 1 |
575,000 | 223 | 1 | 1 | White | Female | Not Hispanic or Latino | 45-54 | CA | 1 |
575,000 | 121 | 1 | 1 | Joint | Joint | Hispanic or Latino | 25-34 | CA | 1 |
325,000 | 53 | 32 | 1 | White | Male | Not Hispanic or Latino | 55-64 | CA | 1 |
335,000 | 56 | 31 | 1 | White | Female | Not Hispanic or Latino | 55-64 | CA | 1 |
385,000 | 98 | 1 | 1 | Black or African American | Male | Ethnicity Not Available | 45-54 | CA | 1 |
305,000 | 76 | 1 | 1 | Race Not Available | Male | Ethnicity Not Available | 25-34 | CA | 1 |
365,000 | 57 | 31 | 4 | Race Not Available | Female | Ethnicity Not Available | 65-74 | CA | 0 |
285,000 | 116 | 1 | 1 | White | Male | Hispanic or Latino | 45-54 | CA | 1 |
255,000 | 129 | 1 | 1 | White | Male | Hispanic or Latino | 45-54 | CA | 1 |
325,000 | 62 | 32 | 2 | White | Female | Hispanic or Latino | 45-54 | CA | 0 |
275,000 | 64 | 32 | 1 | White | Female | Not Hispanic or Latino | <25 | CA | 1 |
355,000 | 95 | 1 | 8 | White | Joint | Hispanic or Latino | 35-44 | CA | 0 |
215,000 | 63 | 32 | 1 | Native Hawaiian or Other Pacific Islander | Male | Not Hispanic or Latino | 55-64 | CA | 1 |
425,000 | 158 | 1 | 1 | White | Female | Hispanic or Latino | 45-54 | CA | 1 |
105,000 | 82 | 31 | 2 | Race Not Available | Male | Ethnicity Not Available | 65-74 | CA | 0 |
475,000 | 108 | 32 | 4 | White | Female | Not Hispanic or Latino | 35-44 | CA | 0 |
235,000 | 87 | 32 | 1 | White | Female | Not Hispanic or Latino | 55-64 | CA | 1 |
135,000 | 34 | 31 | 1 | Race Not Available | Joint | Hispanic or Latino | 65-74 | CA | 1 |
345,000 | 73 | 32 | 2 | White | Male | Hispanic or Latino | <25 | CA | 0 |
275,000 | 119 | 1 | 1 | White | Joint | Not Hispanic or Latino | 65-74 | CA | 1 |
385,000 | 172 | 31 | 1 | Race Not Available | Joint | Ethnicity Not Available | 25-34 | CA | 1 |
195,000 | 91 | 1 | 1 | White | Male | Hispanic or Latino | 45-54 | CA | 1 |
285,000 | 50 | 32 | 2 | White | Joint | Not Hispanic or Latino | 65-74 | CA | 0 |
435,000 | 146 | 1 | 1 | Race Not Available | Joint | Ethnicity Not Available | 25-34 | CA | 1 |
605,000 | 194 | 1 | 1 | Race Not Available | Joint | Ethnicity Not Available | 35-44 | CA | 1 |
215,000 | 49 | 1 | 1 | White | Male | Not Hispanic or Latino | <25 | CA | 1 |
295,000 | 90 | 31 | 5 | Race Not Available | Female | Ethnicity Not Available | 55-64 | CA | 0 |
935,000 | 155 | 1 | 1 | White | Male | Not Hispanic or Latino | 25-34 | CA | 1 |
565,000 | 128 | 32 | 1 | White | Joint | Not Hispanic or Latino | 35-44 | CA | 1 |
135,000 | 99 | 32 | 4 | Race Not Available | Sex Not Available | Ethnicity Not Available | 55-64 | CA | 0 |
365,000 | 111 | 32 | 1 | White | Male | Ethnicity Not Available | 35-44 | CA | 1 |
425,000 | 64 | 1 | 1 | White | Male | Not Hispanic or Latino | 35-44 | CA | 1 |
65,000 | 21 | 31 | 1 | Race Not Available | Female | Hispanic or Latino | 45-54 | CA | 1 |
365,000 | 59 | 31 | 4 | Race Not Available | Female | Ethnicity Not Available | 65-74 | CA | 0 |
415,000 | 116 | 1 | 1 | White | Joint | Hispanic or Latino | 45-54 | CA | 1 |
355,000 | 112 | 1 | 1 | White | Joint | Not Hispanic or Latino | 35-44 | CA | 1 |
385,000 | 102 | 31 | 4 | Race Not Available | Joint | Ethnicity Not Available | 25-34 | CA | 0 |
135,000 | 96 | 32 | 4 | White | Joint | Not Hispanic or Latino | 45-54 | CA | 0 |
395,000 | 101 | 1 | 1 | Race Not Available | Male | Ethnicity Not Available | 55-64 | CA | 1 |
245,000 | 59 | 1 | 4 | White | Female | Not Hispanic or Latino | 55-64 | CA | 0 |
385,000 | 125 | 1 | 1 | Race Not Available | Sex Not Available | Ethnicity Not Available | 25-34 | CA | 1 |
305,000 | 84 | 1 | 1 | Race Not Available | Male | Hispanic or Latino | 35-44 | CA | 1 |
935,000 | 307 | 31 | 1 | Race Not Available | Joint | Ethnicity Not Available | 55-64 | CA | 1 |
405,000 | 72 | 1 | 4 | Joint | Joint | Not Hispanic or Latino | 25-34 | CA | 0 |
225,000 | 221 | 32 | 1 | Asian | Joint | Not Hispanic or Latino | 45-54 | CA | 1 |
335,000 | 136 | 31 | 1 | White | Joint | Hispanic or Latino | 25-34 | CA | 1 |
205,000 | 70 | 31 | 5 | White | Female | Not Hispanic or Latino | 35-44 | CA | 0 |
305,000 | 71 | 31 | 5 | Race Not Available | Male | Hispanic or Latino | 25-34 | CA | 0 |
355,000 | 82 | 1 | 1 | White | Joint | Joint | 45-54 | CA | 1 |
265,000 | 62 | 1 | 1 | Race Not Available | Female | Ethnicity Not Available | 35-44 | CA | 1 |
245,000 | 93 | 32 | 1 | White | Male | Not Hispanic or Latino | 35-44 | CA | 1 |
315,000 | 133 | 32 | 1 | Race Not Available | Male | Hispanic or Latino | 35-44 | CA | 1 |
225,000 | 69 | 32 | 4 | White | Male | Hispanic or Latino | <25 | CA | 0 |
305,000 | 64 | 1 | 1 | White | Female | Hispanic or Latino | 25-34 | CA | 1 |
645,000 | null | 1 | 1 | White | Male | Hispanic or Latino | 55-64 | CA | 1 |
665,000 | 307 | 1 | 1 | Race Not Available | Joint | Ethnicity Not Available | 55-64 | CA | 1 |
195,000 | 71 | 1 | 1 | White | Male | Not Hispanic or Latino | 35-44 | CA | 1 |
285,000 | null | 1 | 1 | White | Joint | Not Hispanic or Latino | 35-44 | CA | 1 |
575,000 | 105 | 1 | 8 | White | Joint | Hispanic or Latino | 45-54 | CA | 0 |
355,000 | 77 | 1 | 1 | Joint | Joint | Not Hispanic or Latino | 25-34 | CA | 1 |
305,000 | 71 | 32 | 1 | Race Not Available | Male | Not Hispanic or Latino | 35-44 | CA | 1 |
355,000 | 86 | 1 | 1 | White | Male | Joint | 45-54 | CA | 1 |
235,000 | 92 | 31 | 4 | White | Female | Not Hispanic or Latino | 35-44 | CA | 0 |
215,000 | 138 | 1 | 1 | White | Female | Not Hispanic or Latino | 35-44 | CA | 1 |
225,000 | 91 | 1 | 1 | White | Male | Hispanic or Latino | 25-34 | CA | 1 |
475,000 | 96 | 1 | 1 | White | Joint | Not Hispanic or Latino | 65-74 | CA | 1 |
135,000 | 29 | 32 | 1 | Black or African American | Joint | Not Hispanic or Latino | 45-54 | CA | 1 |
255,000 | 57 | 32 | 4 | Race Not Available | Male | Hispanic or Latino | 35-44 | CA | 0 |
615,000 | 397 | 32 | 1 | Asian | Joint | Ethnicity Not Available | 55-64 | CA | 1 |
385,000 | 76 | 1 | 1 | Race Not Available | Male | Hispanic or Latino | 25-34 | CA | 1 |
615,000 | 146 | 32 | 1 | White | Male | Not Hispanic or Latino | 35-44 | CA | 1 |
395,000 | 116 | 1 | 1 | White | Male | Hispanic or Latino | 45-54 | CA | 1 |
565,000 | 185 | 1 | 1 | Race Not Available | Joint | Ethnicity Not Available | 45-54 | CA | 1 |
335,000 | 83 | 1 | 1 | White | Male | Ethnicity Not Available | 45-54 | CA | 1 |
505,000 | 105 | 1 | 1 | Joint | Joint | Not Hispanic or Latino | 25-34 | CA | 1 |
275,000 | 63 | 1 | 1 | White | Joint | Hispanic or Latino | 35-44 | CA | 1 |
505,000 | 116 | 1 | 1 | White | Male | Hispanic or Latino | 65-74 | CA | 1 |
165,000 | 65 | 32 | 1 | White | Male | Hispanic or Latino | 35-44 | CA | 1 |
325,000 | 99 | 32 | 1 | Race Not Available | Male | Ethnicity Not Available | 25-34 | CA | 1 |
315,000 | 107 | 32 | 4 | White | Male | Not Hispanic or Latino | 55-64 | CA | 0 |
155,000 | 89 | 32 | 4 | Race Not Available | Joint | Hispanic or Latino | 55-64 | CA | 0 |
215,000 | 123 | 32 | 1 | Race Not Available | Male | Hispanic or Latino | 45-54 | CA | 1 |
625,000 | 313 | 31 | 4 | White | Joint | Joint | 25-34 | CA | 0 |
115,000 | 35 | 32 | 1 | Race Not Available | Joint | Hispanic or Latino | 35-44 | CA | 1 |
255,000 | 63 | 1 | 3 | American Indian or Alaska Native | Female | Not Hispanic or Latino | 35-44 | CA | 0 |
395,000 | 75 | 32 | 4 | White | Male | Hispanic or Latino | 35-44 | CA | 0 |
225,000 | 137 | 32 | 1 | White | Joint | Not Hispanic or Latino | 25-34 | CA | 1 |
385,000 | 109 | 32 | 1 | Race Not Available | Male | Ethnicity Not Available | 35-44 | CA | 1 |
165,000 | 95 | 31 | 4 | White | Male | Hispanic or Latino | 45-54 | CA | 0 |
455,000 | 109 | 1 | 1 | White | Male | Not Hispanic or Latino | 25-34 | CA | 1 |
255,000 | 43 | 1 | 1 | White | Female | Hispanic or Latino | 25-34 | CA | 1 |
1,245,000 | 382 | 1 | 1 | White | Male | Not Hispanic or Latino | 45-54 | CA | 1 |
605,000 | 265 | 1 | 1 | Race Not Available | Joint | Ethnicity Not Available | 35-44 | CA | 1 |
285,000 | 50 | 1 | 1 | White | Male | Hispanic or Latino | 25-34 | CA | 1 |
365,000 | 97 | 1 | 1 | White | Male | Hispanic or Latino | 55-64 | CA | 1 |
End of preview. Expand in Data Studio
hmda_lar — mirror
A convenience mirror of a public dataset, pushed by propensity.data.hf_mirror so that benchmark runs do not depend on a flaky upstream origin.
This is a mirror, not a grant of rights
Copyright and licence remain with the original source named below. Mirroring moves bytes; it does not and cannot change the terms they arrived under. If you intend to redistribute this further, or to use it commercially, read the original terms — not this card, and not the license: field above, which is our best reading and may be wrong.
Provenance
- Source: HMDA Loan/Application Register, Consumer Financial Protection Bureau
- Origin URL: https://ffiec.cfpb.gov/data-publication/
- Loader:
propensity.data.public_loaders.load_hmda_lar - Extract: full pull from origin
- Reported source:
hmda_lar - Rows pushed: 1,559,797
- Columns: 10
Licence and redistribution
- Licence as found:
other(us-public-domain) - Redistribution verdict:
open - Basis: CFPB, public domain (public_loaders/init.py)
This is US-government material and therefore in the public domain as a matter of US law. The frontmatter says other rather than cc0-1.0 on purpose: CC0 is a waiver that only a rights holder can execute, and we are not the rights holder. Claiming it would be the same error that makes much of this Hub's licence metadata untrustworthy.
Citation
CFPB HMDA Public LAR (public-domain).
Loading
from propensity.data.hf_mirror import load_mirrored
result = load_mirrored("hmda_lar", org="SMVaddadi")
result.frame.head()
load_mirrored falls back to the original loader (origin, then its own offline replica) if this mirror is unreachable, so it is safe to depend on.
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