{"id":462,"date":"2026-03-22T03:51:55","date_gmt":"2026-03-22T03:51:55","guid":{"rendered":"https:\/\/blog.deepdigitalventures.com\/?p=462"},"modified":"2026-04-24T08:32:55","modified_gmt":"2026-04-24T08:32:55","slug":"how-journalists-can-use-public-bank-data-to-break-local-financial-stories","status":"publish","type":"post","link":"https:\/\/banking.deepdigitalventures.com\/blog\/how-journalists-can-use-public-bank-data-to-break-local-financial-stories\/","title":{"rendered":"How Journalists Can Find Local Bank Stories in Public Data"},"content":{"rendered":"<p>Most local bank stories do not begin with a dramatic failure. They begin with a quieter change: deposits leave, funding costs rise, construction lending slows, a branch network contracts, or a bank becomes unusually dependent on one local real-estate sector. Those signals often appear in public regulatory data before they show up in a press release.<\/p>\n<p>The reporting opportunity is not to turn journalists into bank analysts. It is to give reporters a faster way to ask better local questions: Is this institution gaining or losing trust? Is credit getting tighter for local businesses? Is a merger really about strategy, or about pressure? Which neighborhoods are losing access to branches? Public bank data helps answer those questions with evidence.<\/p>\n<h2>Start With The Story, Not The Spreadsheet<\/h2>\n<p>A Call Report is a quarterly regulatory filing that banks submit to federal regulators. It is detailed, standardized, and easy to drown in. Reporters should not start by downloading everything. Start with one local question, then pull the schedules that test it.<\/p>\n<table>\n<thead>\n<tr>\n<th>Reporting question<\/th>\n<th>Data to check<\/th>\n<th>What it can mean locally<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Is the bank losing stable funding?<\/td>\n<td>Total deposits, uninsured deposits, noninterest-bearing deposits, time deposits, brokered deposits, borrowings<\/td>\n<td>Depositors may be moving cash, the bank may be paying more to retain funds, or lending capacity may tighten.<\/td>\n<\/tr>\n<tr>\n<td>Is credit quality weakening?<\/td>\n<td>Past-due loans, nonaccrual loans, charge-offs, allowance for credit losses<\/td>\n<td>Stress may be building in office, multifamily, construction, farmland, consumer credit, or another local sector.<\/td>\n<\/tr>\n<tr>\n<td>Is the bank overexposed?<\/td>\n<td>Loan mix by category and peer comparison<\/td>\n<td>A downturn in one property type or industry could hit the bank and borrowers at the same time.<\/td>\n<\/tr>\n<tr>\n<td>Is a branch closure isolated or part of retreat?<\/td>\n<td>Summary of Deposits branch data, county market share, institution-wide deposit trends<\/td>\n<td>Readers can see whether the bank is modernizing, losing share, or leaving specific communities with fewer options.<\/td>\n<\/tr>\n<tr>\n<td>Does management&#8217;s message match the filing?<\/td>\n<td>Regulatory filings, earnings releases, enforcement actions, peer data<\/td>\n<td>The story may be in the gap between public reassurance and measurable pressure.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>What this means:<\/strong> one ratio rarely makes a story. A local banking story usually comes from a pattern: a measurable change, a peer comparison, and a local consequence that can be verified with interviews and documents.<\/p>\n<h2>The Public Data Map For Local Bank Reporting<\/h2>\n<p>These sources cover most local bank reporting needs. The important distinction is level of detail: institution-level filings explain the bank; branch, mortgage, and CRA datasets explain the market around the bank.<\/p>\n<table>\n<thead>\n<tr>\n<th>Source<\/th>\n<th>Best use<\/th>\n<th>Timing and caveat<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>FDIC BankFind Suite<\/td>\n<td>Confirm FDIC certificate number, headquarters, branch locations, history, and high-level financial data.<\/td>\n<td>Use it as the starting lookup tool before pulling filings.<sup>[1]<\/sup><\/td>\n<\/tr>\n<tr>\n<td>FFIEC Central Data Repository<\/td>\n<td>Download Call Reports and Uniform Bank Performance Reports, known as UBPRs.<\/td>\n<td>Call Reports and UBPRs generally go back to March 31, 2001 in the public CDR.<sup>[2]<\/sup><\/td>\n<\/tr>\n<tr>\n<td>Call Report schedules<\/td>\n<td>Read deposit composition, capital, past-due loans, securities, loans by category, and income.<\/td>\n<td>Use the current form and instructions because line items and wording change over time.<sup>[3]<\/sup><\/td>\n<\/tr>\n<tr>\n<td>UBPR<\/td>\n<td>Compare one bank with similar institutions and track percentile rankings.<\/td>\n<td>UBPR peer-group averages are trimmed averages, not simple medians. FFIEC changed certain commercial bank peer groups for banks up to $300 million effective in 2026, so older peer comparisons should be dated carefully.<sup>[4]<\/sup><sup>[5]<\/sup><\/td>\n<\/tr>\n<tr>\n<td>FDIC Summary of Deposits<\/td>\n<td>Analyze branch-level deposit share by county, metro area, and institution.<\/td>\n<td>SOD is an annual June 30 branch-deposit snapshot. For 2025, FDIC required submissions by July 31 and said results would be published by September 30; the FDIC release came September 19, 2025.<sup>[6]<\/sup><sup>[7]<\/sup><\/td>\n<\/tr>\n<tr>\n<td>HMDA loan application data<\/td>\n<td>Analyze mortgage applications, originations, denials, withdrawals, and census-tract patterns.<\/td>\n<td>As of April 24, 2026, 2025 modified HMDA Loan Application Register data is available on the FFIEC platform.<sup>[8]<\/sup><\/td>\n<\/tr>\n<tr>\n<td>CRA small-business and small-farm lending data<\/td>\n<td>Track reported small-business and small-farm lending by institution and geography.<\/td>\n<td>Latest public CRA data covers 2024; agencies released it November 13, 2025.<sup>[9]<\/sup><\/td>\n<\/tr>\n<tr>\n<td>FDIC, OCC, and Federal Reserve enforcement databases<\/td>\n<td>Find consent orders, civil money penalties, prohibition orders, and termination orders.<\/td>\n<td>Use the regulator responsible for the bank&#8217;s charter; FDIC orders are searchable online.<sup>[10]<\/sup><\/td>\n<\/tr>\n<tr>\n<td>FinCEN SAR statistics<\/td>\n<td>Use aggregated suspicious-activity trends for fraud or money-laundering context.<\/td>\n<td>Individual Suspicious Activity Reports are confidential; SAR Stats is trend-level, not bank-specific evidence.<sup>[11]<\/sup><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>The Five Metrics That Usually Matter First<\/h2>\n<h3>1. Deposits And Funding Mix<\/h3>\n<p>Deposits are the raw material for most bank lending. But the mix matters as much as the total. A bank that loses noninterest-bearing deposits and replaces them with higher-cost certificates of deposit, brokered deposits, Federal Home Loan Bank advances, or Federal Reserve borrowings may keep funding the balance sheet while profitability weakens.<\/p>\n<p><strong>Definitions:<\/strong> uninsured deposits are deposits above FDIC insurance limits, currently $250,000 per depositor, per insured bank, for each ownership category.<sup>[12]<\/sup> Noninterest-bearing deposits are usually cheaper for the bank. Time deposits and wholesale borrowings are often more rate-sensitive.<\/p>\n<p><strong>Reporter test:<\/strong> compare deposits with the prior quarter, the prior year, and peers. Then ask management what changed: customer behavior, rate competition, a large depositor loss, branch-market weakness, or a deliberate funding shift.<\/p>\n<h3>2. Loan Growth By Category<\/h3>\n<p>Total loan growth is too blunt. A bank can be shrinking commercial-and-industrial loans while expanding multifamily, or pulling back from construction while growing residential mortgages. The useful question is not simply whether loans rose. It is where the bank is adding risk and where it is withdrawing credit.<\/p>\n<p><strong>What this means:<\/strong> a decline in local small-business lending can become a Main Street credit story. A surge in construction lending can become a development-risk story. A concentration in one property type can become a local economic exposure story.<\/p>\n<h3>3. Past-Due, Nonaccrual, And Charge-Off Trends<\/h3>\n<p>Past-due loans are loans where payment is late. Nonaccrual loans are loans where the bank has stopped recognizing interest income because collection is doubtful. Charge-offs are losses the bank has written off. In Call Reports, Schedule RC-N breaks out past-due and nonaccrual loans by category, including 30-89 days past due, 90 days or more past due, and nonaccrual status.<sup>[3]<\/sup><\/p>\n<p><strong>Reporter test:<\/strong> watch the early bucket. A rise in 30-89 day past-due construction, commercial real estate, farm, or consumer loans can be a lead before losses become obvious.<\/p>\n<h3>4. Allowance For Credit Losses<\/h3>\n<p>The allowance for credit losses, or ACL, is the reserve a bank records for expected credit losses. Under CECL, the current expected credit loss accounting model, many banks moved from an incurred-loss model toward expected lifetime losses. FASB&#8217;s amended effective dates made CECL effective for SEC filers that were not smaller reporting companies for fiscal years beginning after December 15, 2019, and for all other entities for fiscal years beginning after December 15, 2022.<sup>[13]<\/sup><\/p>\n<p><strong>What this means:<\/strong> do not compare reserves across the CECL transition casually. A line saying reserves are higher than before 2020 or before 2023 may be true and still misleading if the accounting model changed.<\/p>\n<h3>5. Capital Ratios<\/h3>\n<p>Capital is the cushion that absorbs losses. For FDIC-supervised institutions, the prompt corrective action rule treats a bank as well capitalized only if it meets several thresholds, including a common equity tier 1 ratio of at least 6.5%, a tier 1 risk-based ratio of at least 8.0%, a total risk-based ratio of at least 10.0%, and a leverage ratio of at least 5.0%, plus no order requiring a specific capital level.<sup>[14]<\/sup><\/p>\n<p><strong>Reporter test:<\/strong> capital is necessary context, but it is not enough. In 2023, some banks reported capital ratios above regulatory minimums while facing severe liquidity and funding pressure. Treat capital as one part of the story, not the whole story.<\/p>\n<h2>Worked Example: First Republic Shows The Reporting Pattern<\/h2>\n<p>First Republic Bank is not a small community-bank example, but it is a useful public-data case because the timing is clear and the source documents are available. The lesson for local reporters is not that a high uninsured-deposit ratio predicts failure by itself. The lesson is that funding structure, deposit behavior, borrowing reliance, and management&#8217;s public language need to be read together.<\/p>\n<p>At December 31, 2022, First Republic had about $176.4 billion in total deposits and about $119.5 billion in estimated uninsured deposits, equal to 68% of total deposits according to the FDIC Office of Inspector General&#8217;s material loss review.<sup>[15]<\/sup> The bank&#8217;s April 24, 2023 first-quarter results then showed how quickly the balance sheet changed after the March 2023 regional-bank stress.<sup>[16]<\/sup><\/p>\n<table>\n<thead>\n<tr>\n<th>Metric<\/th>\n<th>Dec. 31, 2022<\/th>\n<th>Mar. 31, 2023<\/th>\n<th>Reporting interpretation<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Total deposits<\/td>\n<td>$176.4 billion<\/td>\n<td>$104.5 billion<\/td>\n<td>A $72.0 billion quarterly decline is not a routine fluctuation; it demands a funding and customer-confidence explanation.<\/td>\n<\/tr>\n<tr>\n<td>Estimated uninsured deposits<\/td>\n<td>$118.8 billion in the bank&#8217;s Q1 table; FDIC OIG rounded the Call Report measure to 68% of total deposits<\/td>\n<td>$49.8 billion, or 48% of total deposits<\/td>\n<td>The uninsured share fell because uninsured funds left and because a $30 billion large-bank deposit package changed the mix.<\/td>\n<\/tr>\n<tr>\n<td>Short-term borrowings<\/td>\n<td>$6.7 billion<\/td>\n<td>$80.4 billion<\/td>\n<td>The balance sheet moved from deposit-funded toward emergency and wholesale funding.<\/td>\n<\/tr>\n<tr>\n<td>Net interest margin<\/td>\n<td>2.45% in the prior quarter<\/td>\n<td>1.77%<\/td>\n<td>Funding stress translated into profitability pressure.<\/td>\n<\/tr>\n<tr>\n<td>CET1 ratio<\/td>\n<td>9.17%<\/td>\n<td>9.32%<\/td>\n<td>Capital looked above the minimum while liquidity and deposit pressure were the live story.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>A reporter looking at the December 2022 filing would not write, &#8216;this bank will fail.&#8217; That would be overclaiming. A defensible story angle would be narrower: First Republic had an unusually high uninsured-deposit profile for a large bank, and that made depositor confidence and liquidity management central questions. After Q1 2023 results, the story became more concrete: deposits had fallen sharply, short-term borrowings had surged, and net interest margin had compressed.<\/p>\n<p>The local version of this workflow is straightforward. If a bank in your coverage area reports a high uninsured-deposit share, rising borrowings, and weakening margin, ask which customer groups are moving money, whether local borrowers are seeing tighter terms, whether the bank is changing branch or deposit strategy, and whether peers in the same market show the same pattern. The table does not replace reporting. It tells you where to report.<\/p>\n<h2>How 2023 Bank Stress Should Change Local Reporting<\/h2>\n<p>The 2023 failures of Silicon Valley Bank, Signature Bank, and First Republic made one point hard to ignore: liquidity risk can be visible in public information before a closure. The Federal Reserve&#8217;s review of Silicon Valley Bank described a concentrated business model, reliance on uninsured deposits, and interest-rate risk in securities; a Federal Reserve OIG review later cited high uninsured deposits, large irregular cash flows, long-term securities, and significant unrealized losses.<sup>[17]<\/sup><sup>[18]<\/sup> FDIC officials also described Signature&#8217;s year-end 2022 digital-asset-related deposits as about 20% of total deposits, alongside a shrinking balance sheet and deposit withdrawals during 2022.<sup>[19]<\/sup><\/p>\n<p>For local reporters, the practical takeaway is modest but important: do not wait for enforcement actions, merger announcements, or branch-closure notices to begin the file. Track funding mix, uninsured deposits, securities losses, loan concentrations, and peer outliers every quarter. Those are not panic indicators by themselves. They are early questions.<\/p>\n<h2>Turn Ratios Into Local Reporting<\/h2>\n<p>Readers do not need a paragraph of unexplained ratios. They need to know what a change could mean in the community. Use the data to produce a reporting plan:<\/p>\n<ul>\n<li><strong>Deposit pressure:<\/strong> talk to small businesses, municipal finance officers, nonprofits, and large local depositors. Ask whether they moved cash, split deposits, or demanded higher rates.<\/li>\n<li><strong>Commercial real estate stress:<\/strong> identify office, retail, multifamily, hotel, or construction loans that match local market pressure. Interview brokers, borrowers, tenants, and planning officials.<\/li>\n<li><strong>Branch retreat:<\/strong> pair branch closures with SOD market-share changes and neighborhood demographics. Ask whether closures hit lower-income, rural, elderly, or small-business-heavy areas harder.<\/li>\n<li><strong>Mortgage access:<\/strong> use HMDA data to compare applications, denials, withdrawals, and loan pricing by census tract and applicant characteristics where the public data allows it.<\/li>\n<li><strong>Small-business credit:<\/strong> use CRA data to see whether reported small-business lending is concentrated in certain MSAs, counties, or income bands.<\/li>\n<li><strong>Management credibility:<\/strong> compare executives&#8217; public statements with quarter-over-quarter changes in deposits, borrowings, margin, and credit quality.<\/li>\n<\/ul>\n<p>The strongest stories usually combine three layers: public data, local documents, and affected people. A branch dataset can show a market has lost offices. A zoning file can show which commercial district is struggling. A business owner can explain what happened when a credit line renewal became harder.<\/p>\n<h2>Mistakes To Avoid<\/h2>\n<ul>\n<li><strong>Do not treat one bad quarter as collapse evidence.<\/strong> A single quarter can reflect seasonality, one large customer, a merger, or accounting timing.<\/li>\n<li><strong>Do not compare unlike banks without explanation.<\/strong> A rural agriculture lender, a coastal wealth bank, and a card-heavy bank are not the same business.<\/li>\n<li><strong>Do not call UBPR peer data a median unless you verify the line item.<\/strong> FFIEC describes peer averages as trimmed averages that remove outliers above the 95th and below the 5th percentile for a given ratio.<sup>[4]<\/sup><\/li>\n<li><strong>Do not ignore the 2026 UBPR peer-group change.<\/strong> If you compare a small bank to prior UBPR peer rankings, note whether the revised peer logic applies.<sup>[5]<\/sup><\/li>\n<li><strong>Do not overstate uninsured deposits.<\/strong> High uninsured deposits increase run sensitivity, but concentration, customer type, liquidity, securities, and confidence all matter.<\/li>\n<li><strong>Do not publish ratios without translating them.<\/strong> Explain what changed, why the change matters, and what you did to verify the local impact.<\/li>\n<\/ul>\n<h2>A Repeatable One-Hour Workflow<\/h2>\n<ol>\n<li>Identify the bank by legal name and FDIC certificate number in BankFind.<\/li>\n<li>Pull the latest Call Report and the same quarter one year earlier from the FFIEC CDR.<\/li>\n<li>Record six values: total deposits, uninsured deposits, noninterest-bearing deposits, borrowings, net interest margin, and noncurrent or nonaccrual loans.<\/li>\n<li>Open the UBPR and compare the bank with its peer group, noting the report date and peer-group definition.<\/li>\n<li>If the story is about place, pull SOD branch deposits for the county or metro area.<\/li>\n<li>If the story is about borrowers, add HMDA for mortgages or CRA data for small-business and small-farm lending.<\/li>\n<li>Write one sentence that turns the abnormal number into a reporting question.<\/li>\n<li>Call the bank, competitors, borrowers, local officials, real-estate sources, and affected customers before drawing conclusions.<\/li>\n<\/ol>\n<p>A good sentence sounds like this: &#8216;Deposits fell 9% while peer banks were flat, and borrowings doubled; are local businesses moving cash, or is this bank choosing a more expensive funding strategy?&#8217; That is specific enough to report and cautious enough to be fair.<\/p>\n<h2>Where Banking Intelligence Fits<\/h2>\n<p>Public data is free, but using it manually can be slow. Banking Intelligence is designed to shorten the workflow after you know the question you are asking. Use <a href='https:\/\/banking.deepdigitalventures.com\/'>Banks<\/a> to find institution profiles, <a href='https:\/\/banking.deepdigitalventures.com\/'>Compare<\/a> to line up peers, and <a href='https:\/\/banking.deepdigitalventures.com\/'>the research workspace on Banking Intelligence<\/a> to organize source-linked analysis before interviews.<\/p>\n<p>The product should not replace primary documents or local reporting. It should make the first pass faster so reporters can spend more time doing the work that makes the story publishable: verifying the numbers, asking management for comment, and finding the people affected by the financial change.<\/p>\n<h2>FAQ<\/h2>\n<h3>What is the best public bank dataset for a first-time local reporter?<\/h3>\n<p>Start with FDIC BankFind to identify the bank, then use the FFIEC Central Data Repository for Call Reports and UBPRs. Add Summary of Deposits only when the story depends on branch location, county market share, or local deposit concentration.<\/p>\n<h3>Can public bank data prove that a bank is in trouble?<\/h3>\n<p>Usually no. It can show stress signals, outlier behavior, or changes that require explanation. A fair story uses public data as evidence for questions, then tests those questions through interviews, documents, and comment from the bank.<\/p>\n<h3>What is the most overlooked local-bank signal?<\/h3>\n<p>Funding mix. Reporters often watch total deposits but miss the shift from cheaper, relationship-based deposits to higher-cost time deposits, brokered deposits, or borrowings. That shift can pressure profitability and lending capacity even before credit losses rise.<\/p>\n<h3>How often should a reporter check the data?<\/h3>\n<p>Quarterly for Call Reports and UBPRs. Annually for Summary of Deposits, HMDA, and CRA datasets. The right rhythm is to update a short watchlist after each quarterly filing rather than rebuild the entire analysis from scratch.<\/p>\n<p><!-- ddv-source-append:start --><\/p>\n<h2>Sources<\/h2>\n<ol>\n<li><a href='https:\/\/www.fdic.gov\/resources\/data-tools\/'>FDIC Data Tools and BankFind Suite<\/a> &#8211; FDIC tools for insured-bank lookup, branches, history, and financial reports.<\/li>\n<li><a href='https:\/\/www.ffiec.gov\/node\/31'>FFIEC Central Data Repository<\/a> &#8211; Public source for Call Reports and UBPRs for most FDIC-insured institutions.<\/li>\n<li><a href='https:\/\/www.ffiec.gov\/resources\/reporting-forms\/ffiec041'>FFIEC 041 current Call Report form and instructions<\/a> &#8211; Current reporting-form source for domestic-office banks.<\/li>\n<li><a href='https:\/\/www.ffiec.gov\/data\/ubpr\/uniform-bank-performance-report'>FFIEC Uniform Bank Performance Report<\/a> &#8211; UBPR description, peer reports, averages, and percentile context.<\/li>\n<li><a href='https:\/\/www.ffiec.gov\/sites\/default\/files\/media\/ubpr\/FFIEC-Changes-to-UBPR-Peer_Group-Memorandum.pdf'>FFIEC UBPR peer-group changes memorandum<\/a> &#8211; Peer-group definition changes effective in 2026.<\/li>\n<li><a href='https:\/\/www.fdic.gov\/sod'>FDIC Summary of Deposits<\/a> &#8211; Annual June 30 branch-office deposit survey.<\/li>\n<li><a href='https:\/\/www.fdic.gov\/news\/press-releases\/2025\/fdic-releases-results-summary-deposits-annual-survey'>FDIC 2025 Summary of Deposits release<\/a> &#8211; September 19, 2025 release of June 30, 2025 SOD results.<\/li>\n<li><a href='https:\/\/www.consumerfinance.gov\/about-us\/newsroom\/2025-hmda-data-on-mortgage-lending-now-available\/'>CFPB 2025 HMDA data announcement<\/a> &#8211; March 31, 2026 notice that 2025 modified HMDA LAR data is available.<\/li>\n<li><a href='https:\/\/www.fdic.gov\/news\/press-releases\/2025\/federal-bank-regulatory-agencies-release-2024-small-business-small-farm'>Federal agencies 2024 CRA lending data release<\/a> &#8211; Small-business, small-farm, and community-development lending data release.<\/li>\n<li><a href='https:\/\/orders.fdic.gov\/s\/'>FDIC Enforcement Decisions and Orders<\/a> &#8211; Searchable FDIC enforcement orders database.<\/li>\n<li><a href='https:\/\/www.fincen.gov\/reports\/sar-stats'>FinCEN SAR Stats<\/a> &#8211; Aggregated Suspicious Activity Report trend data.<\/li>\n<li><a href='https:\/\/www.fdic.gov\/financial-institution-employees-guide-deposit-insurance\/deposit-insurance-basics'>FDIC Deposit Insurance Basics<\/a> &#8211; Standard maximum deposit insurance amount and coverage basics.<\/li>\n<li><a href='https:\/\/storage.fasb.org\/ASU%202019-10.pdf'>FASB ASU 2019-10<\/a> &#8211; Amended effective dates for CECL and related standards.<\/li>\n<li><a href='https:\/\/www.law.cornell.edu\/cfr\/text\/12\/324.403'>12 CFR 324.403<\/a> &#8211; FDIC-supervised institution capital categories and well-capitalized thresholds.<\/li>\n<li><a href='https:\/\/www.fdicoig.gov\/sites\/default\/files\/reports\/2023-12\/EVAL-24-03.pdf'>FDIC OIG Material Loss Review of First Republic Bank<\/a> &#8211; First Republic funding concentration, uninsured deposits, and failure review.<\/li>\n<li><a href='https:\/\/www.businesswire.com\/news\/home\/20230424005719\/en\/First-Republic-Reports-First-Quarter-2023-Results'>First Republic Q1 2023 results<\/a> &#8211; Deposits, borrowings, margin, capital, and management commentary for March 31, 2023.<\/li>\n<li><a href='https:\/\/www.federalreserve.gov\/publications\/2023-April-SVB-Key-Takeaways.htm'>Federal Reserve SVB supervision review<\/a> &#8211; April 2023 review of Silicon Valley Bank supervision and risk factors.<\/li>\n<li><a href='https:\/\/oig.federalreserve.gov\/reports\/board-material-loss-review-silicon-valley-bank-sep2023.htm'>Federal Reserve OIG Material Loss Review of Silicon Valley Bank<\/a> &#8211; September 2023 review of SVB failure causes.<\/li>\n<li><a href='https:\/\/www.fdic.gov\/news\/speeches\/2023\/spmar2923.html'>FDIC remarks on recent bank failures and regulatory response<\/a> &#8211; Signature Bank digital-asset deposit context and 2022 balance-sheet discussion.<\/li>\n<li><a href='https:\/\/developers.google.com\/search\/docs\/fundamentals\/creating-helpful-content'>Google Search Central helpful content guidance<\/a> &#8211; Used as editorial-quality reference for sourcing, originality, and trust signals.<\/li>\n<\/ol>\n<p><!-- ddv-source-append:end --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Public bank data is one of the most underused reporting tools in local journalism. With the right workflow, reporters can use Call Reports, branch data, failure histories, and peer comparisons to find real financial stories before they become obvious headlines.<\/p>\n","protected":false},"author":3,"featured_media":1048,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"How Journalists Can Find Local Bank Stories in Public Data","_seopress_titles_desc":"A practical, sourced workflow for reporters using Call Reports, UBPRs, SOD, HMDA, CRA data, and bank filings to find local financial stories.","_seopress_robots_index":"","footnotes":""},"categories":[15],"tags":[],"class_list":["post-462","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-playbooks"],"_links":{"self":[{"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/posts\/462","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/comments?post=462"}],"version-history":[{"count":6,"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/posts\/462\/revisions"}],"predecessor-version":[{"id":2145,"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/posts\/462\/revisions\/2145"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/media\/1048"}],"wp:attachment":[{"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/media?parent=462"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/categories?post=462"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/tags?post=462"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}