FDIC-Insured Financial Institutions--Income and Selected Measures of Financial Condition: 1990 to 20

Added By Infochimps

The Statistical Abstract files are distributed by the US Census Department as Microsoft Excel files. These files have data mixed with notes and references, multiple tables per sheet, and, worst of all, the table headers are not easily matched to their rows and columns.

A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.

The tables that were changed (this is table 1148):

0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467
0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629
1144 1227 1231

This dataset consists of a table of 44 rows and 19 columns.

In billions of dollars, except as indicated (437.7 represents $437,700,000,000). Includes island areas. Includes foreign branches of U.S. banks


  1. Net operating revenue equals net interest income plus noninterest income.
    a Noninterest expense less amortization of intangible assets as a percent
    of net interest income plus noninterest income. This ratio measures the
    proportion of net operating revenues that are absorbed by overhead expenses,
    so that a lower value indicates greater efficiency.
  2. Net income (including securities transactions and nonrecurring
    items) as a percentage of average total assets.
  3. Net income as a percentage of average total equity capital.
  4. Interest income less interest expense as a percentage of average
    earning assets (i.e. the profit margin a bank earns on its loans
    and investments).
  5. Total loans and leases charged off (removed from balance sheet
    because of uncollectibility), less amounts recovered on loans and
    leases previously charged off.
  6. The sum of loans, leases, debt securities and other assets that are 90
    days or more past due, or in nonaccrual status plus foreclosed property.


Public Domain (Government Work)

This dataset was prepared by the government and is therefore in the public domain. There are no restrictions upon its use.